tag:blogger.com,1999:blog-55592900736551570432024-02-25T02:24:29.225-08:00DOWNLOAD FREE LECTURE NOTES SLIDES PPT PDF EBOOKSThis Blog contains a huge collection of various lectures notes, slides, ebooks in ppt, pdf and html format in all subjects. My aim is to help students and faculty to download study materials at one place.Engineeringppthttp://www.blogger.com/profile/06590183128732553253noreply@blogger.comBlogger294125tag:blogger.com,1999:blog-5559290073655157043.post-66127760378460617352012-10-17T23:23:00.000-07:002012-10-17T23:23:21.702-07:00Introduction to Data Mining PPT and PDF Lecture Slides<div dir="ltr" style="text-align: left;" trbidi="on">
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<img height="200" id="il_fi" src="http://www-users.cs.umn.edu/%7Ekumar/dmbook/book_small.jpg" style="padding-bottom: 8px; padding-right: 8px; padding-top: 8px;" width="200" /></div>
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<br />
Introduction to Data Mining<br />
<b>Instructor:</b> Tan,Stein batch,Kumar<br />
<u><b>Download slides from here</b></u><br />
<span style="font-family: Arial,Helvetica;"><span style="font-family: Arial,Helvetica;"><span style="font-family: Arial,Helvetica;"><a href="http://www.blogger.com/blogger.g?blogID=5559290073655157043" name="item4"><span style="font-family: Arial,Helvetica;"><b>1.
Introduction</b> (lecture slides: [</span></a><a href="http://www-users.cs.umn.edu/%7Ekumar/dmbook/dmslides/chap1_intro.ppt"><span style="font-family: Arial,Helvetica;">PPT</span></a><span style="font-family: Arial,Helvetica;">] [<a href="http://www-users.cs.umn.edu/%7Ekumar/dmbook/dmslides/chap1_intro.pdf">PDF</a>])</span></span></span></span><br />
<span style="font-family: Arial,Helvetica;"><span style="font-family: Arial,Helvetica;"><span style="font-family: Arial,Helvetica;"><span style="font-family: Arial,Helvetica;"><b>2. Data</b> (lecture
slides: [<a href="http://www-users.cs.umn.edu/%7Ekumar/dmbook/dmslides/chap2_data.ppt">PPT</a>][<a href="http://www-users.cs.umn.edu/%7Ekumar/dmbook/dmslides/chap2_data.pdf">PDF</a>]) </span></span></span></span><br />
<span style="font-family: Arial,Helvetica;"><span style="font-family: Arial,Helvetica;"><span style="font-family: Arial,Helvetica;"><span style="font-family: Arial,Helvetica;"><b>3. Exploring Data</b>
(lecture slides: [<a href="http://www-users.cs.umn.edu/%7Ekumar/dmbook/dmslides/chap3_data_exploration.ppt">PPT</a>][<a href="http://www-users.cs.umn.edu/%7Ekumar/dmbook/dmslides/chap3_data_exploration.pdf">PDF</a>]) </span></span></span></span><br />
<span style="font-family: Arial,Helvetica;"><span style="font-family: Arial,Helvetica;"><span style="font-family: Arial,Helvetica;"><span style="font-family: Arial,Helvetica;"><b>4. Classication: Basic
Concepts, Decision Trees, and Model Evaluation</b> (lecture
slides: [<a href="http://www-users.cs.umn.edu/%7Ekumar/dmbook/dmslides/chap4_basic_classification.ppt">
PPT</a>][<a href="http://www-users.cs.umn.edu/%7Ekumar/dmbook/dmslides/chap4_basic_classification.pdf">PDF</a>])
</span></span></span></span><br />
<span style="font-family: Arial,Helvetica;"><span style="font-family: Arial,Helvetica;"><span style="font-family: Arial,Helvetica;"><span style="font-family: Arial,Helvetica;"><b>5. Classication: Alternative
Techniques</b> (lecture slides: [<a href="http://www-users.cs.umn.edu/%7Ekumar/dmbook/dmslides/chap5_alternative_classification.ppt">PPT</a>][<a href="http://www-users.cs.umn.edu/%7Ekumar/dmbook/dmslides/chap5_alternative_classification.pdf">PDF</a>])
</span></span></span></span><br />
<span style="font-family: Arial,Helvetica;"><span style="font-family: Arial,Helvetica;"><span style="font-family: Arial,Helvetica;"><span style="font-family: Arial,Helvetica;"><b>6. Association Analysis:
Basic Concepts and Algorithms</b> (lecture slides: [<a href="http://www-users.cs.umn.edu/%7Ekumar/dmbook/dmslides/chap6_basic_association_analysis.ppt">PPT</a>][<a href="http://www-users.cs.umn.edu/%7Ekumar/dmbook/dmslides/chap6_basic_association_analysis.pdf">PDF</a>])
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<span style="font-family: Arial,Helvetica;"><span style="font-family: Arial,Helvetica;"><span style="font-family: Arial,Helvetica;"><span style="font-family: Arial,Helvetica;"><b>7. Association Analysis:
Advanced Concepts</b> (lecture slides: [<a href="http://www-users.cs.umn.edu/%7Ekumar/dmbook/dmslides/chap7_extended_association_analysis.ppt">PPT</a>][<a href="http://www-users.cs.umn.edu/%7Ekumar/dmbook/dmslides/chap7_extended_association_analysis.pdf">PDF</a>])
</span></span></span></span><br />
<span style="font-family: Arial,Helvetica;"><span style="font-family: Arial,Helvetica;"><span style="font-family: Arial,Helvetica;"><span style="font-family: Arial,Helvetica;"><b>8. Cluster Analysis: Basic
Concepts and Algorithms</b> (lecture slides: [<a href="http://www-users.cs.umn.edu/%7Ekumar/dmbook/dmslides/chap8_basic_cluster_analysis.ppt">PPT</a>][<a href="http://www-users.cs.umn.edu/%7Ekumar/dmbook/dmslides/chap8_basic_cluster_analysis.pdf">PDF</a>])
</span></span></span></span><br />
<span style="font-family: Arial,Helvetica;"><span style="font-family: Arial,Helvetica;"><span style="font-family: Arial,Helvetica;"><span style="font-family: Arial,Helvetica;"><b>9. Cluster Analysis:
Additional Issues and Algorithms</b> (lecture slides: [<a href="http://www-users.cs.umn.edu/%7Ekumar/dmbook/dmslides/chap9_advanced_cluster_analysis.ppt">PPT</a>][<a href="http://www-users.cs.umn.edu/%7Ekumar/dmbook/dmslides/chap9_advanced_cluster_analysis.pdf">PDF</a>])
</span></span></span></span><br />
<span style="font-family: Arial,Helvetica;"><span style="font-family: Arial,Helvetica;"><span style="font-family: Arial,Helvetica;"><span style="font-family: Arial,Helvetica;"><b>10. Anomaly Detection</b>
(lecture slides: [<a href="http://www-users.cs.umn.edu/%7Ekumar/dmbook/dmslides/chap10_anomaly_detection.ppt">PPT</a>][<a href="http://www-users.cs.umn.edu/%7Ekumar/dmbook/dmslides/chap10_anomaly_detection.pdf">PDF</a>])
</span></span></span></span></div>
Anonymoushttp://www.blogger.com/profile/11033100116990815178noreply@blogger.com0tag:blogger.com,1999:blog-5559290073655157043.post-7698239562683770502012-10-17T02:20:00.002-07:002012-10-17T02:20:33.081-07:00Introduction to Linear Dynamical Systems PPT Lecture Slides<div dir="ltr" style="text-align: left;" trbidi="on">
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<img height="200" id="il_fi" src="http://www.isbnlib.com/cover/0471025941/L" style="padding-bottom: 8px; padding-right: 8px; padding-top: 8px;" width="131" /></div>
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Instructor:-Professor Stephen Boyd, <a href="http://stanford.edu/">Stanford University</a><br />
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Text Books:<br />
<ul>
<li><i>Linear Algebra and its Applications</i>, or the newer
book <i>Introduction to Linear Algebra</i>, G. Strang.<br />
</li>
<li><i>Introduction to Dynamic Systems</i>, Luenberger,
Wiley.<br />
</li>
</ul>
<br />
Lecture Slides:<br />
<ol>
<li><a href="http://www.stanford.edu/class/ee263/lectures/overview.pdf">Overview</a> (<a href="http://www.stanford.edu/class/ee263/quizzes/overview.html">quiz</a>)<br />
</li>
<li><a href="http://www.stanford.edu/class/ee263/lectures/lin-fcts.pdf">Linear functions</a> (<a href="http://www.stanford.edu/class/ee263/quizzes/lin-fcts.html">quiz</a>) <br />
</li>
<li><a href="http://www.stanford.edu/class/ee263/lectures/lin-alg.pdf">Linear algebra review</a> (<a href="http://www.stanford.edu/class/ee263/quizzes/lin-alg.html">quiz</a>) <br />
</li>
<li><a href="http://www.stanford.edu/class/ee263/lectures/qr.pdf">Orthonormal sets of vectors and QR factorization</a>
(<a href="http://www.stanford.edu/class/ee263/quizzes/qr.html">quiz</a>)<br />
</li>
<li><a href="http://www.stanford.edu/class/ee263/lectures/ls.pdf">Least-squares</a>
(<a href="http://www.stanford.edu/class/ee263/quizzes/ls.html">quiz</a>)<br />
</li>
<li><a href="http://www.stanford.edu/class/ee263/lectures/ls-app.pdf">Least-squares applications</a> <br />
</li>
<li><a href="http://www.stanford.edu/class/ee263/lectures/ls-reg.pdf">Regularized least-squares and Gauss-Newton method</a> <br />
</li>
<li><a href="http://www.stanford.edu/class/ee263/lectures/min-norm.pdf">Least-norm solutions of underdetermined equations</a> <br />
</li>
<li><a href="http://www.stanford.edu/class/ee263/lectures/auto-sys.pdf">Autonomous linear dynamical systems</a><br />
</li>
<li><a href="http://www.stanford.edu/class/ee263/lectures/expm.pdf">Solution via Laplace transform and matrix exponential</a><br />
</li>
<li><a href="http://www.stanford.edu/class/ee263/lectures/eig.pdf">Eigenvectors and diagonalization</a><br />
</li>
<li><a href="http://www.stanford.edu/class/ee263/lectures/jcf.pdf">Jordan canonical form</a><br />
</li>
<li><a href="http://www.stanford.edu/class/ee263/lectures/lin-sys.pdf">Linear dynamical systems with inputs and outputs</a><br />
</li>
<li><a href="http://www.stanford.edu/class/ee263/lectures/aircraft.pdf">Example: Aircraft dynamics</a><br />
</li>
<li><a href="http://www.stanford.edu/class/ee263/lectures/symm.pdf">Symmetric matrices, quadratic forms, matrix norm, and SVD</a><br />
</li>
<li><a href="http://www.stanford.edu/class/ee263/lectures/svd.pdf">SVD applications</a><br />
</li>
<li><a href="http://www.stanford.edu/class/ee263/lectures/qm.pdf">Example: Quantum mechanics</a><br />
</li>
<li><a href="http://www.stanford.edu/class/ee263/lectures/contr.pdf">Controllability and state transfer</a><br />
</li>
<li><a href="http://www.stanford.edu/class/ee263/lectures/observ.pdf">Observability and state estimation</a><br />
</li>
<li><a href="http://www.stanford.edu/class/ee263/lectures/synopsis.pdf">Summary and final comments</a><br />
</li>
</ol>
<a href="http://www.stanford.edu/class/ee263/lectures/263lectures_slides.pdf">All lectures, in 2up format, in one pdf file</a><br />
</div>
Anonymoushttp://www.blogger.com/profile/11033100116990815178noreply@blogger.com0tag:blogger.com,1999:blog-5559290073655157043.post-10983256439152842422012-10-13T23:45:00.000-07:002012-10-13T23:51:28.827-07:00Introduction to Computer Graphics PPT Slides<div dir="ltr" style="text-align: left;" trbidi="on">
<h2 style="text-align: left;">
<span style="color: purple;"><span style="font-weight: normal;">Introduction to Computer Graphics</span></span></h2>
<div style="text-align: left;">
<span style="color: purple;"><span style="font-weight: normal;">Instructor
<a href="http://www.cs.virginia.edu/%7Ehumper/">Greg Humphreys</a> (<a href="mailto:humper@cs.virginia.edu">humper@cs.virginia.edu</a>)</span></span></div>
<div style="text-align: left;">
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<div style="text-align: left;">
<span style="color: purple;"><span style="font-weight: normal;"><b>Description</b>:
This course teaches the fundamental mathematics, algorithms,
techniques, and programming skills for 2D and 3D graphics. Students will
be well prepared to take any of our advanced courses in computer
graphics.
</span></span></div>
This is not a course in the use of graphics <em>software</em>
such as Photoshop or Maya. Rather, the course will teach the
underpinnings of those programs. Although students will use OpenGL in
this course, the focus will be on the underlying mechanisms of OpenGL
rather than its sophisticated use.<br />
<div style="text-align: left;">
<br /></div>
<div style="text-align: left;">
<span style="color: purple;"><span style="font-weight: normal;">Textbook: OpenGL Programming Guide: The Official Guide to Learning OpenGL, Version 1.4, Fourth Edition</span></span><span style="color: purple;"><span style="font-weight: normal;"> </span></span></div>
<div style="text-align: left;">
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<table align="center" cellpadding="0" cellspacing="0" class="tr-caption-container" style="margin-left: auto; margin-right: auto; text-align: center;"><tbody>
<tr><td style="text-align: center;"><img alt="" height="320" 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" 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<tr><td class="tr-caption" style="text-align: center;"><a href="http://www.amazon.com/exec/obidos/ASIN/0321173481/greghumphrhom-20">OpenGL Programming Guide: The Official Guide to Learning OpenGL, Version 1.4, Fourth Edition</a></td><td class="tr-caption" style="text-align: center;"> </td></tr>
</tbody></table>
<div style="text-align: left;">
<span style="color: purple;"><span style="font-weight: normal;"> Download Slides:</span></span></div>
<div style="text-align: left;">
<span style="color: purple;"><span style="font-weight: normal;"><br /></span></span></div>
<table border="1" cellpadding="3" cellspacing="5" style="width: 100%px;"><tbody>
<tr><td height="70"> </td>
<td>Date</td>
<td>Topic<br />
(Click for slides) </td>
<td><br /></td>
</tr>
<tr>
<td>1</td>
<td>9/2</td>
<td><a href="http://www.cs.virginia.edu/%7Egfx/Courses/2004/Intro.Fall.04/handouts/00-intro.pdf">Introduction</a></td>
<td><br /></td>
</tr>
<tr>
<td>2</td>
<td>9/7</td>
<td><a href="http://www.cs.virginia.edu/%7Egfx/Courses/2004/Intro.Fall.04/handouts/01-raster.pdf">Raster Graphics and Color</a> </td>
<td><br /></td>
</tr>
<tr>
<td>3</td>
<td>9/9</td>
<td><a href="http://www.cs.virginia.edu/%7Egfx/Courses/2004/Intro.Fall.04/handouts/02-sample.pdf">Image Processing and Sampling</a> </td>
<td><br /></td>
</tr>
<tr>
<td>4</td>
<td>9/14</td>
<td><a href="http://www.cs.virginia.edu/%7Egfx/Courses/2004/Intro.Fall.04/handouts/03-morph.pdf">Image Warping, Compositing, and Morphing </a></td>
<td><br /></td>
</tr>
<tr>
<td>5</td>
<td>9/16</td>
<td><a href="http://www.cs.virginia.edu/%7Egfx/Courses/2004/Intro.Fall.04/handouts/04-render.pdf">3D Rendering</a> </td>
<td><br /></td>
</tr>
<tr>
<td>6</td>
<td>9/21</td>
<td><a href="http://www.cs.virginia.edu/%7Egfx/Courses/2004/Intro.Fall.04/handouts/05-raycast.pdf">Ray Casting</a> </td>
<td><br /></td>
</tr>
<tr>
<td>7</td>
<td>9/23</td>
<td><a href="http://www.cs.virginia.edu/%7Egfx/Courses/2004/Intro.Fall.04/handouts/06-light.pdf">Local Illumination</a> </td>
<td><br /></td>
</tr>
<tr>
<td>8</td>
<td>9/28</td>
<td><a href="http://www.cs.virginia.edu/%7Egfx/Courses/2004/Intro.Fall.04/handouts/07-transform.pdf">Transformations</a></td>
<td><br /></td>
</tr>
<tr>
<td>9</td>
<td>9/30</td>
<td><a href="http://www.cs.virginia.edu/%7Egfx/Courses/2004/Intro.Fall.04/handouts/08-pipeline.pdf">Viewing, 3D Graphics Pipeline</a></td>
<td><br /></td>
</tr>
<tr>
<td>10</td>
<td>10/5</td>
<td><a href="http://www.cs.virginia.edu/%7Egfx/Courses/2004/Intro.Fall.04/handouts/09-clip.pdf">Clipping</a></td>
<td><br /></td>
</tr>
<tr>
<td>11</td>
<td>10/7</td>
<td><a href="http://www.cs.virginia.edu/%7Egfx/Courses/2004/Intro.Fall.04/handouts/10-linescan.pdf">Scan Conversion: Lines, Circles, Fractals</a> </td>
<td><br /></td>
</tr>
<tr>
<td> </td>
<td>10/12</td>
<td>Reading Holiday</td>
<td><br /></td>
</tr>
<tr>
<td>12</td>
<td>10/14</td>
<td> Exam I (in class) </td>
<td><br /></td>
</tr>
<tr>
<td>13</td>
<td>10/19</td>
<td><a href="http://www.cs.virginia.edu/%7Egfx/Courses/2004/Intro.Fall.04/handouts/11-polyscan.pdf">Scan Conversion II: Polygons</a> </td>
<td><br /></td>
</tr>
<tr>
<td>14</td>
<td>10/21</td>
<td><a href="http://www.cs.virginia.edu/%7Egfx/Courses/2004/Intro.Fall.04/handouts/14-texture.pdf">Texture Mapping</a></td>
<td><br /></td>
</tr>
<tr>
<td>15</td>
<td>10/26</td>
<td><a href="http://www.cs.virginia.edu/%7Egfx/Courses/2004/Intro.Fall.04/handouts/15-hidden.pdf">Visibility</a></td>
<td><br /></td>
</tr>
<tr>
<td>16</td>
<td>10/28</td>
<td>No class </td>
<td><br /></td>
</tr>
<tr>
<td>17</td>
<td>11/2</td>
<td>Programmable Graphics Hardware</td>
<td><br /></td>
</tr>
<tr>
<td>18</td>
<td>11/4</td>
<td>Movie Time</td>
<td><br /></td>
</tr>
<tr>
<td>19</td>
<td>11/9</td>
<td><a href="http://www.cs.virginia.edu/%7Egfx/Courses/2004/Intro.Fall.04/handouts/16-curves.pdf">Curved Lines</a></td>
<td><br /></td>
</tr>
<tr>
<td>20</td>
<td>11/11</td>
<td><a href="http://www.cs.virginia.edu/%7Egfx/Courses/2004/Intro.Fall.04/handouts/17-curved_surfaces.pdf">Curved Surfaces</a> </td>
<td><br /></td>
</tr>
<tr>
<td>21</td>
<td>11/16</td>
<td><a href="http://www.cs.virginia.edu/%7Egfx/Courses/2004/Intro.Fall.04/handouts/18-subdivision.pdf">Subdivision Surfaces</a> </td>
<td><br /></td>
</tr>
<tr>
<td>22</td>
<td>11/18</td>
<td><a href="http://www.cs.virginia.edu/%7Egfx/Courses/2004/Intro.Fall.04/handouts/18-modeling_misc.pdf">Modeling Grab Bag </a></td>
<td><br /></td>
</tr>
<tr>
<td>23</td>
<td>11/23</td>
<td>Project Proposals</td>
<td><br /></td>
</tr>
<tr>
<td> </td>
<td>11/25</td>
<td>Thanksgiving</td>
<td><br /></td>
</tr>
<tr>
<td>24</td>
<td>11/30</td>
<td><a href="http://www.cs.virginia.edu/%7Egfx/Courses/2004/Intro.Fall.04/handouts/20-global.pdf">Global Illumination</a></td>
<td><br /></td>
</tr>
<tr>
<td>25</td>
<td>12/2</td>
<td>Animation</td>
<td><br /></td>
</tr>
<tr>
<td>26</td>
<td>12/7</td>
<td>Scalable Graphics and/or Review </td>
<td><br /></td>
</tr>
<tr>
<td><br /></td>
<td><br /></td>
<td><br /></td>
<td><br /></td></tr>
</tbody></table>
<div style="text-align: left;">
<br /></div>
<div style="text-align: left;">
<span style="color: purple;"><span style="font-weight: normal;"> </span></span></div>
<h2 style="text-align: left;">
<br /></h2>
</div>
Engineeringppthttp://www.blogger.com/profile/06590183128732553253noreply@blogger.com0tag:blogger.com,1999:blog-5559290073655157043.post-91407123901911950802012-09-16T05:14:00.000-07:002012-10-13T22:22:03.770-07:00introduction to Computer Graphics PDF SLIDES<img 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" alt="" width="196" height="196" />Introduction to Computer<br/><strong>Instructor:</strong> R.J Renka<br/><strong>Textbook:</strong>introduction to Computer Graphics<br/><span style="text-decoration: underline;"><strong>Download slides from here</strong></span><br/><br/><dl><dd><br/><a href="http://www.cse.unt.edu/%7Erenka/4230/ComputerGraphicsIntro.pdf">Introduction.pdf</a><br/><a href="http://www.cse.unt.edu/%7Erenka/4230/Redbook1.pdf">Redbook Chapter 1</a><br/><a href="http://www.cse.unt.edu/%7Erenka/4230/Redbook2.pdf">Redbook Chapter 2</a><br/><a href="http://www.cse.unt.edu/%7Erenka/4230/LinearAlgebraBasics.pdf">Linear Algebra Basics</a><br/><a href="http://www.cse.unt.edu/%7Erenka/4230/OpenGLTransformations.pdf">OpenGL Transformations</a><br/><a href="http://www.cse.unt.edu/%7Erenka/4230/TransformationAlgebra.pdf">Transformation Algebra</a><br/><a href="http://www.cse.unt.edu/%7Erenka/4230/LineClipping.pdf">Line Clipping</a><br/><a href="http://www.cse.unt.edu/%7Erenka/4230/LightAndColor.pdf">Light and Color</a><br/><a href="http://www.cse.unt.edu/%7Erenka/4230/ReflectionAndShading.pdf">Reflection and Shading</a><br/><a href="http://www.cse.unt.edu/%7Erenka/4230/PolygonalSurfaces.pdf">Polygonal Surfaces</a><br/><a href="http://www.cse.unt.edu/%7Erenka/4230/Quaternions.pdf">Quaternions</a><br/><a href="http://www.cse.unt.edu/%7Erenka/4230/Fractals.pdf">Fractals</a><br/><a href="http://www.cse.unt.edu/%7Erenka/4230/CurveFitting.pdf">Curve Fitting</a></dd></dl>Engineeringppthttp://www.blogger.com/profile/06590183128732553253noreply@blogger.com0tag:blogger.com,1999:blog-5559290073655157043.post-1418331907814660492012-09-16T05:04:00.000-07:002012-10-13T22:22:03.761-07:00Advanced VLSI Systems PDF SLIDES<img 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" alt="" width="185" height="157" />Advanced VLSI Systems<br/><strong>Instructor:</strong> Saraju P. Mohanty<br/><strong>Textbook:</strong> Low-Power High-Level Synthesis for Nanoscale CMOS Circuits, S. P. Mohanty, N. Ranganathan, E. Kougianos, and P. Patra<br/><span style="text-decoration: underline;"><strong>Download slides from here</strong></span><br/><table width="312" border="1" cellpadding="0"><br/><tbody><br/><tr><br/><td><a href="http://www.cse.unt.edu/%7Esmohanty/Teaching/2010Fall_AVS/LectureSlides/AVS9_PLL-Design.pdf">AVS9_PLL-Design.pdf</a></td><br/></tr><br/><tr><br/><td><a href="http://www.cse.unt.edu/%7Esmohanty/Teaching/2010Fall_AVS/LectureSlides/AVS8_Gate-Leakage.pdf">AVS8_Gate-Leakage.pdf</a></td><br/></tr><br/><tr><br/><td><a href="http://www.cse.unt.edu/%7Esmohanty/Teaching/2010Fall_AVS/LectureSlides/AVS7_SPICE.pdf">AVS7_SPICE.pdf</a></td><br/></tr><br/><tr><br/><td><a href="http://www.cse.unt.edu/%7Esmohanty/Teaching/2010Fall_AVS/LectureSlides/AVS6_Margin-Reliability-Scaling.pdf">AVS6_Margin-Reliability-Scaling.pdf</a></td><br/></tr><br/><tr><br/><td><a href="http://www.cse.unt.edu/%7Esmohanty/Teaching/2010Fall_AVS/LectureSlides/AVS5_Nano-CMOS_HLS.pdf">AVS5_Nano-CMOS_HLS.pdf</a></td><br/></tr><br/><tr><br/><td><a href="http://www.cse.unt.edu/%7Esmohanty/Teaching/2010Fall_AVS/LectureSlides/AVS4_Power.pdf">AVS4_Power.pdf</a></td><br/></tr><br/><tr><br/><td><a href="http://www.cse.unt.edu/%7Esmohanty/Teaching/2010Fall_AVS/LectureSlides/AVS3_GPP_design.pdf">AVS3_GPP_design.pdf</a></td><br/></tr><br/><tr><br/><td><a href="http://www.cse.unt.edu/%7Esmohanty/Teaching/2010Fall_AVS/LectureSlides/AVS2_HLS.pdf">AVS2_HLS.pdf</a></td><br/></tr><br/><tr><br/><td><a href="http://www.cse.unt.edu/%7Esmohanty/Teaching/2010Fall_AVS/LectureSlides/AVS1_Overview.pdf">AVS1_Overview.pdf</a></td><br/></tr><br/></tbody><br/></table>Engineeringppthttp://www.blogger.com/profile/06590183128732553253noreply@blogger.com0tag:blogger.com,1999:blog-5559290073655157043.post-27882555379606834462012-09-16T04:51:00.000-07:002012-10-13T22:22:03.765-07:00Operating Systemm Design PPT SLIDES<img 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" alt="" width="191" height="219" />Operating Systemm Design<br/><strong>Instructor:</strong> Armin R.Mikler<br/><strong>Textbook:</strong>Operating System Concepts by Siberschatz, Galvin, and Gagne<br/><span style="text-decoration: underline;"><strong>Download slides from here</strong></span><br/><blockquote><br/><ul><br/> <li><strong><a href="http://www.cse.unt.edu/%7Emikler/Courses/OS/Slides/01_Introduction.ppt">Introduction</a></strong></li><br/> <li><strong><a href="http://www.cse.unt.edu/%7Emikler/Courses/OS/Slides/02_Unix_System_Programming.ppt">UNIX/Linux Review</a></strong></li><br/> <li><strong><a href="http://www.cse.unt.edu/%7Emikler/Courses/OS/Slides/03_Unix-Files.ppt">UNIX File Processing</a></strong></li><br/> <li><strong><a href="http://www.cse.unt.edu/%7Emikler/Courses/OS/Slides/04_Processes-1.ppt">Processes - A Formal View</a></strong></li><br/></ul><br/><ul><br/> <li><strong><a href="http://www.cse.unt.edu/%7Emikler/Courses/OS/Slides/05_Processes-2.ppt">Processes and Process Synchronization</a></strong></li><br/> <li><strong><a href="http://www.cse.unt.edu/%7Emikler/Courses/OS/Slides/06_Semaphores.ppt">Semaphore Galore</a></strong></li><br/> <li><strong><a href="http://www.cse.unt.edu/%7Emikler/Courses/OS/Slides/07_Synch-Problems.ppt">Synchronization Problems</a></strong></li><br/> <li><strong><a href="http://www.cse.unt.edu/%7Emikler/Courses/OS/Slides/08_Synch-Mech.ppt">Synchronization Tools</a></strong></li><br/> <li><strong><a href="http://www.cse.unt.edu/%7Emikler/Courses/OS/Slides/09_Scheduling.ppt">Scheduling</a></strong></li><br/> <li><strong><a href="http://www.cse.unt.edu/%7Emikler/Courses/OS/Slides/10_Scheduling-P2.ppt">Scheduling - Part-2</a></strong></li><br/> <li><strong><a href="http://www.cse.unt.edu/%7Emikler/Courses/OS/Slides/11_Deadlock.ppt">Deadlock - Part-1</a></strong></li><br/> <li><strong><a href="http://www.cse.unt.edu/%7Emikler/Courses/OS/Slides/12_Deadlock-P2.ppt">Deadlock - Part-2</a></strong></li><br/> <li><strong><a href="http://www.cse.unt.edu/%7Emikler/Courses/OS/Slides/13_Deadlock-RAP.ppt">Deadlock Recovery, Avoidance and Prevention </a></strong></li><br/> <li><strong><a href="http://www.cse.unt.edu/%7Emikler/Courses/OS/Slides/14_Memory-P1.ppt">Memory Management Part-1</a></strong></li><br/> <li><strong><a href="http://www.cse.unt.edu/%7Emikler/Courses/OS/Slides/15_Memory-P2.ppt">Memory Management Part-2</a></strong></li><br/> <li><strong><a href="http://www.cse.unt.edu/%7Emikler/Courses/OS/Slides/16_Security.ppt">Security </a></strong></li><br/> <li><strong><a href="http://www.cse.unt.edu/%7Emikler/Courses/OS/Slides/17_Dist-Sys.ppt">A brief introduction to Distributed Systems</a></strong></li><br/></ul><br/></blockquote>Engineeringppthttp://www.blogger.com/profile/06590183128732553253noreply@blogger.com0tag:blogger.com,1999:blog-5559290073655157043.post-50094429092817149292012-09-16T04:22:00.000-07:002012-10-13T22:22:03.768-07:00Database Management System PDF LECTURE SLIDESDatabase Management System<br/><strong>Instructor:</strong>Yan Huang<br/><strong>Textbook:</strong> Database Management System<br/><span style="text-decoration: underline;"><strong>Download slides from here</strong></span><br/><table width="397" border="1" cellspacing="0" cellpadding="0"><br/><tbody><br/><tr><br/><td valign="top" width="397"><a href="http://www.cse.unt.edu/%7Ehuangyan/5360/slides/introduction.pdf">Introduction</a></td><br/></tr><br/><tr><br/><td valign="top" width="397"><a href="http://www.cse.unt.edu/%7Ehuangyan/5360/slides/Storage">Storage and File Structure </a></td><br/></tr><br/><tr><br/><td valign="top" width="397"><a href="http://www.cse.unt.edu/%7Ehuangyan/5360/slides/file.pdf">Storage and File Structure </a></td><br/></tr><br/><tr><br/><td valign="top" width="397"><a href="http://www.cse.unt.edu/%7Ehuangyan/5360/slides/access.pdf">Indexing and Hashing </a></td><br/></tr><br/><tr><br/><td valign="top" width="397"><a href="http://www.cse.unt.edu/%7Ehuangyan/5360/slides/access.pdf">Indexing and Hashing </a></td><br/></tr><br/><tr><br/><td valign="top" width="397"><a href="http://www.cse.unt.edu/%7Ehuangyan/5360/slides/access.pdf">Indexing and Hashing </a></td><br/></tr><br/><tr><br/><td valign="top" width="397"><a href="http://www.cs.unt.edu/%7Ehuangyan/5360/slides/qp.pdf">Query Processing</a></td><br/></tr><br/><tr><br/><td valign="top" width="397"><a href="http://www.cs.unt.edu/%7Ehuangyan/5360/slides/qpII.pdf">Query Processing </a></td><br/></tr><br/><tr><br/><td valign="top" width="397"><a href="http://www.cse.unt.edu/%7Ehuangyan/5360/slides/qpIII.pdf">Query Processing </a></td><br/></tr><br/><tr><br/><td valign="top" width="397"><a href="http://www.cse.unt.edu/%7Ehuangyan/5360/slides/qo.pdf">Query Optimization </a></td><br/></tr><br/><tr><br/><td valign="top" width="397"><a href="http://www.cse.unt.edu/%7Ehuangyan/5360/slides/xaction.ppt">Transaction Processing </a></td><br/></tr><br/><tr><br/><td valign="top" width="397"><a href="http://www.cse.unt.edu/%7Ehuangyan/5360/slides/xactionII.ppt">Transaction Processing </a></td><br/></tr><br/><tr><br/><td valign="top" width="397"><a href="http://www.cse.unt.edu/%7Ehuangyan/5360/slides/concurrentControl.ppt">Concurrency Control </a></td><br/></tr><br/><tr><br/><td valign="top" width="397"><a href="http://www.cse.unt.edu/%7Ehuangyan/5360/slides/ccII.ppt">Concurrency Control </a></td><br/></tr><br/><tr><br/><td valign="top" width="397"><a href="http://www.cse.unt.edu/%7Ehuangyan/5360/slides/ccIII.ppt">Concurrency Control </a></td><br/></tr><br/><tr><br/><td valign="top" width="397"><a href="http://www.cse.unt.edu/%7Ehuangyan/5360/slides/recovery.ppt">Recovery System </a></td><br/></tr><br/><tr><br/><td valign="top" width="397"><a href="http://www.cse.unt.edu/%7Ehuangyan/5360/slides/recovery.ppt">Recovery System </a></td><br/></tr><br/><tr><br/><td valign="top" width="397"><a href="http://www.cse.unt.edu/%7Ehuangyan/5360/slides/dw.ppt">Data Warehousing and Decision Support</a></td><br/></tr><br/><tr><br/><td valign="top" width="397"><a href="http://www.cse.unt.edu/%7Ehuangyan/5360/slides/xml2.ppt">Information Integration </a></td><br/></tr><br/><tr><br/><td valign="top" width="397"><a href="http://www.cse.unt.edu/%7Ehuangyan/5360/slides/dw.ppt">Data Warehousing and Decision Support</a></td><br/></tr><br/><tr><br/><td valign="top" width="397"><a href="http://www.cse.unt.edu/%7Ehuangyan/5360/slides/IR.ppt">Information Retrieval</a></td><br/></tr><br/><tr><br/><td valign="top" width="397"><a href="http://www.cse.unt.edu/%7Ehuangyan/5360/slides/distrnew.ppt">Distributed Databases </a></td><br/></tr><br/><tr><br/><td valign="top" width="397"><a href="http://www.cse.unt.edu/%7Ehuangyan/5360/slides/dist2.ppt">Distributed Databases </a></td><br/></tr><br/><tr><br/><td valign="top" width="397"><a href="http://www.cse.unt.edu/%7Ehuangyan/5360/slides/parallelnew.ppt">Parallel Databases </a></td><br/></tr><br/></tbody><br/></table>Engineeringppthttp://www.blogger.com/profile/06590183128732553253noreply@blogger.com0tag:blogger.com,1999:blog-5559290073655157043.post-61827439421227593592012-09-16T03:43:00.000-07:002012-10-13T22:22:03.769-07:00Biocomputing PPT and PDF SLIDES<img 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alt="" width="196" height="200" />Biocomputing<br/><strong>Instructor:</strong> Armin R.Mikler<br/><strong>Textbook:</strong>An Introduction to Bioinformatics Algorithms Neil C. Jones and Pavel A. Pevzner<br/><span style="text-decoration: underline;"><strong>Download slides from here</strong></span><br/><table width="330" border="3"><br/><tbody><br/><tr><br/><td>Molecular Biology Introduction</td><br/><td><a href="http://www.cse.unt.edu/%7Emikler/Courses/BioCom2011/slides/pdf/Set-1-MolBio.pdf">pdf</a> <a href="http://www.cse.unt.edu/%7Emikler/Courses/BioCom2011/slides/ppt/molecular_bio_primer.ppt">ppt</a></td><br/></tr><br/><tr><br/><td>Introduction to Algorithms</td><br/><td><a href="http://www.cse.unt.edu/%7Emikler/Courses/BioCom2011/slides/ppt/algorithms_intro.ppt">ppt</a> <a href="http://www.cse.unt.edu/%7Emikler/Courses/BioCom2011/slides/pdf/alogirhms_intro.pdf">pdf</a></td><br/></tr><br/><tr><br/><td>A quick PERL review</td><br/><td><a href="http://www.cse.unt.edu/%7Emikler/Courses/BioCom2011/slides/pdf/Perl.pdf">pdf</a> <a href="http://www.cse.unt.edu/%7Emikler/Courses/BioCom2011/slides/ppt/perl_intro.ppt">ppt</a></td><br/></tr><br/><tr><br/><td>Bio-Perl</td><br/><td>pdf <a href="http://www.cse.unt.edu/%7Emikler/Courses/BioCom2011/slides/ppt/PERL%20and%20BioPERL.ppt">ppt</a></td><br/></tr><br/><tr><br/><td>Dr. Dong's Lecture on Bio Perl and NCBI</td><br/><td><a href="http://www.cse.unt.edu/%7Emikler/Courses/BioCom2011/slides/ppt/Perl-NCBI-BioPerl.ppt">ppt</a></td><br/></tr><br/><tr><br/><td>DNA Restriction Maps</td><br/><td><a href="http://www.cse.unt.edu/%7Emikler/Courses/BioCom2011/slides/pdf/dna_restriction_maps.pdf">pdf</a> <a href="http://www.cse.unt.edu/%7Emikler/Courses/BioCom2011/slides/ppt/dna_restriction_maps.ppt">ppt</a></td><br/></tr><br/><tr><br/><td>Finding Regulatory Motifs</td><br/><td><a href="http://www.cse.unt.edu/%7Emikler/Courses/BioCom2011/slides/pdf/motif.pdf">pdf</a> <a href="http://www.cse.unt.edu/%7Emikler/Courses/BioCom2011/slides/ppt/motif.ppt">ppt</a></td><br/></tr><br/><tr><br/><td>Bioethics</td><br/><td><a href="http://www.cse.unt.edu/%7Emikler/Courses/BioCom2011/slides/pdf/bioethics.pdf">pdf </a><a href="http://www.cse.unt.edu/%7Emikler/Courses/BioCom2011/slides/ppt/bioethics.ppt">ppt</a></td><br/></tr><br/><tr><br/><td>Genome Rearrangements</td><br/><td><a href="http://www.cse.unt.edu/%7Emikler/Courses/BioCom2011/slides/pdf/greedy.pdf">pdf</a> <a href="http://www.cse.unt.edu/%7Emikler/Courses/BioCom2011/slides/ppt/greedy.ppt">ppt</a></td><br/></tr><br/><tr><br/><td>Dynamic Programming: Edit Distance</td><br/><td><a href="http://www.cse.unt.edu/%7Emikler/Courses/BioCom2011/slides/pdf/edit_distance.pdf">pdf</a> <a href="http://www.cse.unt.edu/%7Emikler/Courses/BioCom2011/slides/ppt/edit_distance.ppt">ppt</a></td><br/></tr><br/><tr><br/><td>Sequence Alignment</td><br/><td><a href="http://www.cse.unt.edu/%7Emikler/Courses/BioCom2011/slides/pdf/sequence_alignment.pdf">pdf </a><a href="http://www.cse.unt.edu/%7Emikler/Courses/BioCom2011/slides/ppt/sequence_alignment.ppt">ppt</a></td><br/></tr><br/><tr><br/><td>Multiple Alignment</td><br/><td><a href="http://www.cse.unt.edu/%7Emikler/Courses/BioCom2011/slides/pdf/multiple_alignment.pdf">pdf</a><a href="http://www.cse.unt.edu/%7Emikler/Courses/BioCom2011/slides/ppt/multiple_alignment.ppt"> ppt</a></td><br/></tr><br/><tr><br/><td>Phylogenetics</td><br/></tr><br/><tr><br/><td>Molecular Evolution</td><br/></tr><br/></tbody><br/></table><br/> Engineeringppthttp://www.blogger.com/profile/06590183128732553253noreply@blogger.com0tag:blogger.com,1999:blog-5559290073655157043.post-4741054801282136962012-09-16T00:44:00.000-07:002012-10-13T22:22:03.766-07:00Signals and Systems PPT and PDF SLIDES<img 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" alt="" width="264" height="264" />Signals and Systems<br/><strong>Instructor:</strong> Akl Robert<br/><strong>Textbook:</strong>Signals and Systems: Analysis Using Transform Methods and MATLAB, 2nd edition, M. J. Roberts<br/><span style="text-decoration: underline;"><strong>Download slides from here</strong></span><br/><br/><strong>Introduction </strong>(Chapter 1 – 1 <a href="http://www.cse.unt.edu/%7Erakl/class3010/Chapter1.ppt">Lecture</a>), <span style="text-decoration: underline;">Chapter1.pdf</span><br/><br/><strong>Mathematical Description of Continuous-Time Signals</strong> (Chapter 2 – <a href="http://www.cse.unt.edu/%7Erakl/class3010/Chapter2.ppt">Lectures</a>), <a href="http://www.cse.unt.edu/%7Erakl/class3010/Chapter2.pdf">Chapter2.pdf</a><br/><br/><strong> </strong>Continuous-Time Signal Function, Shifting and Scaling<br/><br/><strong>Discrete-Time Signal Description</strong> (Chapter 3 – <a href="http://www.cse.unt.edu/%7Erakl/class3010/Chapter3.ppt">Lectures</a>), <a href="http://www.cse.unt.edu/%7Erakl/class3010/Chapter3.pdf">Chapter3.pdf</a><br/><br/>Sinusoids and Singularity Function, Even and Odd Functions<br/><br/><strong>Description of Systems</strong> (Chapter 4 – <a href="http://www.cse.unt.edu/%7Erakl/class3010/Chapter4.ppt">Lectures</a>), <a href="http://www.cse.unt.edu/%7Erakl/class3010/Chapter4.pdf">Chapter4.pdf</a><br/><br/>System Modeling - Continuous and Discret<br/><br/><strong>Time-Domain System Analysis</strong> (Chapter 5 – <a href="http://www.cse.unt.edu/%7Erakl/class3010/Chapter5.ppt">Lectures</a>), <a href="http://www.cse.unt.edu/%7Erakl/class3010/Chapter5.pdf">Chapter5.pdf</a><br/><br/>Impulse Response,The Convolution Integral<br/><br/><strong>Continuous-Time Fourier Methods</strong> (Chapter 6 – <a href="http://www.cse.unt.edu/%7Erakl/class3010/Chapter6.ppt">Lectures</a>), <a href="http://www.cse.unt.edu/%7Erakl/class3010/Chapter6.pdf">Chapter6.pdf</a><br/><br/>Continuous-Time Fourier Series,Continuous-Time Fourier Transform<br/><br/><strong>Discrete-Time Fourier Methods</strong> (Chapter 7 – <a href="http://www.cse.unt.edu/%7Erakl/class3010/Chapter7.ppt">Lectures</a>), <a href="http://www.cse.unt.edu/%7Erakl/class3010/Chapter7.pdf">Chapter7.pdf</a><br/><br/>Discrete-Time Fourier Series,Discrete-Time Fourier Transform<br/><br/><strong>The Laplace Transform</strong> (Chapter 8 – <a href="http://www.cse.unt.edu/%7Erakl/class3010/Chapter8.ppt">Lectures</a>), <a href="http://www.cse.unt.edu/%7Erakl/class3010/Chapter8.pdf">Chapter8.pdf</a><br/><br/>Development and Properties of the Laplace Transform<br/><br/><strong>The <em>z</em>-Transform</strong> (Chapter 9 – <a href="http://www.cse.unt.edu/%7Erakl/class3010/Chapter9.ppt">Lectures</a>), <a href="http://www.cse.unt.edu/%7Erakl/class3010/Chapter9.pdf">Chapter9.pdf</a><br/><br/>Development and Properties of the <em>z-</em>Transform<br/><br/> Engineeringppthttp://www.blogger.com/profile/06590183128732553253noreply@blogger.com0tag:blogger.com,1999:blog-5559290073655157043.post-26265231071586056672012-09-16T00:26:00.000-07:002012-10-13T22:22:03.763-07:00Information Retrival and Web Search PPT SLIDES<img 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" alt="" width="198" height="221" />Information Retrival and Web Search<br/><strong>Instructor:</strong> Rada Mihalcea<br/><strong>Textbook:</strong>Introduction to Information Retrival ,Christopher D. Manning, Prabhakar Raghavan and Hinrich Schutze<br/><strong><span style="text-decoration: underline;">Download slides from here</span></strong><br/><table border="1" cellpadding="0"><br/><tbody><br/><tr><br/><td width="432"><strong>Lecture </strong></td><br/></tr><br/><tr><br/><td width="432">Course overview (<a href="http://www.cse.unt.edu/%7Erada/CSCE5200/Lectures/Introduction.ppt">ppt</a>)</td><br/></tr><br/><tr><br/><td width="432">Introduction to IR models and methods [<a href="http://www.cse.unt.edu/%7Erada/CSCE5200/Lectures/IRModelsMethods.ppt">ppt</a>]</td><br/></tr><br/><tr><br/><td width="432">Short Perl tutorial [<a href="http://www.cse.unt.edu/%7Erada/CSCE5200/Lectures/Perl.Tutorial.ppt">ppt</a>]</td><br/></tr><br/><tr><br/><td width="432">Short Perl tutorial [<a href="http://www.cse.unt.edu/%7Erada/CSCE5200/Lectures/Perl.Tutorial.ppt">ppt</a>]</td><br/></tr><br/><tr><br/><td width="432">Short Perl tutorial [<a href="http://www.cse.unt.edu/%7Erada/CSCE5200/Lectures/Perl.Tutorial.ppt">ppt</a>]<br/>Text processing [<a href="http://www.cse.unt.edu/%7Erada/CSCE5200/Lectures/TextProcessing.ppt">ppt</a>]</td><br/></tr><br/><tr><br/><td width="432">Text processing [<a href="http://www.cse.unt.edu/%7Erada/CSCE5200/Lectures/TextProcessing.ppt">ppt</a>]</td><br/></tr><br/><tr><br/><td width="432">Text properties [<a href="http://www.cse.unt.edu/%7Erada/CSCE5200/Lectures/TextProperties.ppt">ppt</a>]</td><br/></tr><br/><tr><br/><td width="432">Web Spidering [<a href="http://www.cse.unt.edu/%7Erada/CSCE5200/Lectures/WebSpidering.ppt">ppt</a>]<br/>Practical problems in web spidering [<a href="http://www.cse.unt.edu/%7Erada/CSCE5200/Lectures/Spidering.practical.ppt">ppt</a>]</td><br/></tr><br/><tr><br/><td width="432">Boolean model and extensions [<a href="http://www.cse.unt.edu/%7Erada/CSCE5200/Lectures/BooleanModel.ppt">ppt</a>]</td><br/></tr><br/><tr><br/><td width="432">Vector space model [<a href="http://www.cse.unt.edu/%7Erada/CSCE5200/Lectures/VectorSpaceModel.ppt">ppt</a>]</td><br/></tr><br/><tr><br/><td width="432">Vector space model [<a href="http://www.cse.unt.edu/%7Erada/CSCE5200/Lectures/VectorSpaceModel.ppt">ppt</a>]</td><br/></tr><br/><tr><br/><td width="432">Term weighting schemes</td><br/></tr><br/><tr><br/><td width="432">Alternative IR models. [<a href="http://www.cse.unt.edu/%7Erada/CSCE5200/Lectures/AlternativeIRModels_Samer.ppt">ppt</a>]</td><br/></tr><br/><tr><br/><td width="432">IR evaluation and IR test collections. [<a href="http://www.cse.unt.edu/%7Erada/CSCE5200/Lectures/IREvaluation.ppt">ppt</a>]</td><br/></tr><br/><tr><br/><td width="432">Relevance feedback. [<a href="http://www.cse.unt.edu/%7Erada/CSCE5200/Lectures/RelevanceFeedback.ppt">ppt</a>]</td><br/></tr><br/><tr><br/><td width="432">Relevance feedback. [<a href="http://www.cse.unt.edu/%7Erada/CSCE5200/Lectures/RelevanceFeedback.ppt">ppt</a>]</td><br/></tr><br/><tr><br/><td width="432">Text classification [<a href="http://www.cse.unt.edu/%7Erada/CSCE5200/Lectures/IntroTextClassification.ppt">ppt</a>]</td><br/></tr><br/><tr><br/><td width="432">Text classification [<a href="http://www.cse.unt.edu/%7Erada/CSCE5200/Lectures/IntroTextClassification.2.ppt">ppt</a>]</td><br/></tr><br/><tr><br/><td width="432">Link analysis. HITS. PageRank. [<a href="http://www.cse.unt.edu/%7Erada/CSCE5200/Lectures/LinkAnalysis.ppt">ppt</a>]</td><br/></tr><br/><tr><br/><td width="432">Topic Sensitive PageRank</td><br/></tr><br/><tr><br/><td width="432">Question Answering [<a href="http://www.cse.unt.edu/%7Erada/CSCE5200/Lectures/QuestionAnswering.ppt">ppt</a>]</td><br/></tr><br/><tr><br/><td width="432">Question Answering [<a href="http://www.cse.unt.edu/%7Erada/CSCE5200/Lectures/QuestionAnswering.ppt">ppt</a>]</td><br/></tr><br/><tr><br/><td width="432">Cross language Information Retrieval (<a href="http://www.cse.unt.edu/%7Erada/CSCE5200/Lectures/CrossLanguageInformationRetrieval.ppt">ppt</a>)</td><br/></tr><br/><tr><br/><td width="432">Keyword Extraction (<a href="http://www.cse.unt.edu/%7Erada/CSCE5200/Lectures/KeyphraseExtraction.ppt">ppt</a>)</td><br/></tr><br/></tbody><br/></table>Engineeringppthttp://www.blogger.com/profile/06590183128732553253noreply@blogger.com0tag:blogger.com,1999:blog-5559290073655157043.post-37575657985800806622012-09-16T00:17:00.000-07:002012-10-13T22:22:18.238-07:00Natural LanguageProcessing PPt SLIDES<img 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" alt="" width="188" height="213" />Natural Language Processing<br/><strong>Instructor:</strong> Rada Mihalcea<br/><strong>Textbook:</strong> Speech and Language Processing<br/><span style="text-decoration: underline;"><strong>Download slides from here</strong></span><br/><table border="1" cellpadding="0"><br/><tbody><br/><tr><br/><td><strong>Lecture </strong></td><br/></tr><br/><tr><br/><td>Course overview [<a href="http://www.cse.unt.edu/%7Erada/CSCE5290/Lectures/Intro.ppt">ppt</a>]</td><br/></tr><br/><tr><br/><td>Short Perl tutorial (I) [<a href="http://www.cse.unt.edu/%7Erada/CSCE5290/Lectures/Perl.Tutorial.ppt">ppt</a>]</td><br/></tr><br/><tr><br/><td>Short Perl tutorial (II) [<a href="http://www.cse.unt.edu/%7Erada/CSCE5290/Lectures/Perl.Tutorial.ppt">ppt</a>]</td><br/></tr><br/><tr><br/><td>Linguistics Essentials [<a href="http://www.cse.unt.edu/%7Erada/CSCE5290/Lectures/Ling.Essentials.ppt">ppt</a>]</td><br/></tr><br/><tr><br/><td>Language Models [<a href="http://www.cse.unt.edu/%7Erada/CSCE5290/Lectures/LanguageModels.ppt">ppt</a>]</td><br/></tr><br/><tr><br/><td>Language Models [<a href="http://www.cse.unt.edu/%7Erada/CSCE5290/Lectures/LanguageModels.ppt">ppt</a>]</td><br/></tr><br/><tr><br/><td>Language Models [<a href="http://www.cse.unt.edu/%7Erada/CSCE5290/Lectures/LanguageModels.ppt">ppt</a>]</td><br/></tr><br/><tr><br/><td>Collocations [<a href="http://www.cse.unt.edu/%7Erada/CSCE5290/Lectures/Collocations.ppt">ppt</a>]</td><br/></tr><br/><tr><br/><td>Morphological Processing [<a href="http://www.cse.unt.edu/%7Erada/CSCE5290/Lectures/Morphology.ppt">ppt</a>]</td><br/></tr><br/><tr><br/><td>Word classes and part of speech tagging <a href="http://www.cse.unt.edu/%7Erada/CSCE5290/Lectures/POS.ppt">ppt</a>]</td><br/></tr><br/><tr><br/><td>Word classes and part of speech tagging <a href="http://www.cse.unt.edu/%7Erada/CSCE5290/Lectures/POS.ppt">ppt</a>]</td><br/></tr><br/><tr><br/><td>HMM Tagging. Viterbi Algorithm. [<a href="http://www.cse.unt.edu/%7Erada/CSCE5290/Lectures/HMM.Viterbi.FB.ppt">ppt</a>]</td><br/></tr><br/><tr><br/><td>Context Free Grammars [<a href="http://www.cse.unt.edu/%7Erada/CSCE5290/Lectures/ContextFreeGrammars.ppt">ppt</a>]</td><br/></tr><br/><tr><br/><td>Parsing with Context Free Grammars [<a href="http://www.cse.unt.edu/%7Erada/CSCE5290/Lectures/ParsingwithContextFreeGrammars.ppt">ppt</a>]</td><br/></tr><br/><tr><br/><td>Probabilistic Parsing [<a href="http://www.cse.unt.edu/%7Erada/CSCE5290/Lectures/ProbabilisticParsing.ppt">ppt</a>]</td><br/></tr><br/><tr><br/><td>Word Sense Disambiguation (1) [<a href="http://www.cse.unt.edu/%7Erada/CSCE5290/Lectures/WSD1.ppt">ppt</a>]</td><br/></tr><br/><tr><br/><td>Word Sense Disambiguation (2) [<a href="http://www.cse.unt.edu/%7Erada/CSCE5290/Lectures/WSD2.ppt">ppt</a>]</td><br/></tr><br/><tr><br/><td>Word Sense Disambiguation (3) [<a href="http://www.cse.unt.edu/%7Erada/CSCE5290/Lectures/WSD2.ppt">ppt</a>]</td><br/></tr><br/><tr><br/><td>Text semantic similarity [<a href="http://www.cse.unt.edu/%7Erada/CSCE5290/Lectures/TextSimilarity.ppt">ppt</a>]</td><br/></tr><br/><tr><br/><td>Special topics: Subjectivity and sentiment analysis [<a href="http://www.cse.unt.edu/%7Erada/CSCE5290/Lectures/SubjectivityandSentimentAnalysis.ppt">ppt</a>]</td><br/></tr><br/><tr><br/><td>Special topics: Subjectivity and sentiment analysis [<a href="http://www.cse.unt.edu/%7Erada/CSCE5290/Lectures/SubjectivityandSentimentAnalysis.ppt">ppt</a>]</td><br/></tr><br/><tr><br/><td>Special topics. Logic form transformation [<a href="http://www.cse.unt.edu/%7Erada/CSCE5290/Lectures/LogicFormTransformations.ppt">ppt</a>]</td><br/></tr><br/></tbody><br/></table>Engineeringppthttp://www.blogger.com/profile/06590183128732553253noreply@blogger.com0tag:blogger.com,1999:blog-5559290073655157043.post-723016673635800862012-09-16T00:01:00.000-07:002012-10-13T22:22:18.249-07:00Data structures and Algorithms PPT SLIDES<img 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" alt="" width="176" height="230" />Data structures and Algorithms<br/><strong>Instructor:</strong> Rada Mihalcea<br/><strong>Textbook:</strong> Data Structures and Algorithm Analysis in C++ M.A.Weiss<br/><br/><span style="text-decoration: underline;"><strong>Download slides from here</strong></span><br/><table width="454" border="1" cellpadding="0"><br/><tbody><br/><tr><br/><td><strong>Lecture </strong></td><br/><td><strong>Reading material </strong></td><br/></tr><br/><tr><br/><td>Introduction. Course Overview. [<a href="http://www.cse.unt.edu/%7Erada/CSCE3110/Lectures/3110.Intro.ppt">ppt</a>]</td><br/><td>-</td><br/></tr><br/><tr><br/><td>Algorithm Analysis I. [<a href="http://www.cse.unt.edu/%7Erada/CSCE3110/Lectures/AlgorithmAnalysis1.ppt">ppt</a>]</td><br/><td>Weiss, chap.2</td><br/></tr><br/><tr><br/><td>Algorithm Analysis II / ADT [<a href="http://www.cse.unt.edu/%7Erada/CSCE3110/Lectures/AlgorithmAnalysis2.ppt">ppt</a>]</td><br/><td>Weiss, chap.2</td><br/></tr><br/><tr><br/><td>Algorithm Analysis II [<a href="http://www.cse.unt.edu/%7Erada/CSCE3110/Lectures/AlgorithmAnalysis2.ppt">ppt</a>]</td><br/><td>Weiss, chap.2</td><br/></tr><br/><tr><br/><td>Arrays [<a href="http://www.cse.unt.edu/%7Erada/CSCE3110/Lectures/Arrays.ppt">ppt</a>]</td><br/><td>Weiss, chap.3</td><br/></tr><br/><tr><br/><td>Lists [<a href="http://www.cse.unt.edu/%7Erada/CSCE3110/Lectures/Lists.ppt">ppt</a>].</td><br/><td>Weiss, chap.3</td><br/></tr><br/><tr><br/><td>More Lists [<a href="http://www.cse.unt.edu/%7Erada/CSCE3110/Lectures/MoreLists.ppt">ppt</a>].</td><br/><td>Weiss, chap.3</td><br/></tr><br/><tr><br/><td>Stacks [<a href="http://www.cse.unt.edu/%7Erada/CSCE3110/Lectures/Stacks.ppt">ppt</a>]</td><br/><td>Weiss, chap.3</td><br/></tr><br/><tr><br/><td>Queues [<a href="http://www.cse.unt.edu/%7Erada/CSCE3110/Lectures/Queues.ppt">ppt</a>]</td><br/><td>Weiss, chap.3</td><br/></tr><br/><tr><br/><td>Stack Applications [<a href="http://www.cse.unt.edu/%7Erada/CSCE3110/Lectures/StackApplications.ppt">ppt</a>]</td><br/><td>-</td><br/></tr><br/><tr><br/><td>Trees [<a href="http://www.cse.unt.edu/%7Erada/CSCE3110/Lectures/Trees.ppt">ppt</a>]</td><br/><td>Weiss, chap.4 (4.1)</td><br/></tr><br/><tr><br/><td>Trees [<a href="http://www.cse.unt.edu/%7Erada/CSCE3110/Lectures/Trees.ppt">ppt</a>]</td><br/><td>Weiss, chap.4</td><br/></tr><br/><tr><br/><td>Binary search trees [<a href="http://www.cse.unt.edu/%7Erada/CSCE3110/Lectures/BinarySearchTrees.ppt">ppt</a>]</td><br/><td>Weiss, chap.4</td><br/></tr><br/><tr><br/><td>Search Trees [<a href="http://www.cse.unt.edu/%7Erada/CSCE3110/Lectures/SearchTrees.ppt">ppt</a>].</td><br/><td>Weiss, chap.4</td><br/></tr><br/><tr><br/><td>Search Trees [<a href="http://www.cse.unt.edu/%7Erada/CSCE3110/Lectures/SearchTrees.ppt">ppt</a>].</td><br/><td>Weiss, chap.4</td><br/></tr><br/><tr><br/><td>Priority Queues. Heaps. [<a href="http://www.cse.unt.edu/%7Erada/CSCE3110/Lectures/Heaps.ppt">ppt</a>].</td><br/><td>Weiss, chap.6</td><br/></tr><br/><tr><br/><td>Applications using Trees. [<a href="http://www.cse.unt.edu/%7Erada/CSCE3110/Lectures/TreeApps.ppt">ppt</a>]</td><br/><td>Weiss, sec.10.1.2</td><br/></tr><br/><tr><br/><td>Dictionaries. Skip Lists. [<a href="http://www.cse.unt.edu/%7Erada/CSCE3110/Lectures/Dictionaries.ppt">ppt</a>]</td><br/><td>Weiss, chap.5, sec.10.4</td><br/></tr><br/><tr><br/><td>Hashing [<a href="http://www.cse.unt.edu/%7Erada/CSCE3110/Lectures/Hashing.ppt">ppt</a>]</td><br/><td>Weiss, chap.5, sec.10.4</td><br/></tr><br/><tr><br/><td>Sorting (I) [<a href="http://www.cse.unt.edu/%7Erada/CSCE3110/Lectures/Sorting1.ppt">ppt</a>].</td><br/><td>Weiss, chap.7</td><br/></tr><br/><tr><br/><td>Sorting (II) [<a href="http://www.cse.unt.edu/%7Erada/CSCE3110/Lectures/Sorting2.ppt">ppt</a>]</td><br/><td>Weiss, chap.7</td><br/></tr><br/><tr><br/><td>Graphs (I) [<a href="http://www.cse.unt.edu/%7Erada/CSCE3110/Lectures/Graphs1.ppt">ppt</a>].</td><br/><td>Weiss, chap.9</td><br/></tr><br/></tbody><br/></table><br/> Engineeringppthttp://www.blogger.com/profile/06590183128732553253noreply@blogger.com0tag:blogger.com,1999:blog-5559290073655157043.post-31642627944737918802012-09-12T23:27:00.000-07:002012-10-13T22:22:18.235-07:00Process Dynamics and Control PPT SLIDES<img 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XNom3TT0iPJs94udomR94Zk2+a7HdaC8bwhTagUhW1O4DG7aM5wMZja2kh0mRv3/APVq2cma7GVad1pY+JZBuEiZLfIJMHLSN6mfHy3adsvEi1LsFkOl27xp+33mbpsr3GyzH0qU5FwcFACejWGyBtDgwlKSlKYlAt0u7S24cCHJuEx3PRxobC33nMAk7UIBUeQJ5DuBNY0Q1LlqkvrW68tSnFuLJUpa1HKlKUeZUSSSTzJJzXrSpTZCkrUhQ7lIJBH5RUGvUbUqXgIXMdkWO0WCxiz1H3nNGRPqnee2Y3ytnPCD4Va0k+B1wWgx9JXyXcbdcHnZsCJbXnpMVDgeUhTrSElaBgjO5I2kgHBIFVVofgRer3cobutLdL0PohpxC7te9SMLtzKY+cqaa6YJLrrgBQlKArBVk92DUUywiZIS+qQ8laOYKXFA/pruuypee6Vwhx7GC8oZXj8Y86m1rRRqlhIOUCOpcR2bsXauzxaabKjRiuc68AZF4kmAXRlOUyrL8Kzjez4RHHk3m0pdRpu0RRbrYXkFC3kBRW4+UnmneojCTzCUJyASQJhZEWDijwCit6oltMu8Kp/X3ukXtduFifJK4Lau/et5KGEHICOkR5hVGMRmLcytwcgkFSlYyRjvqwuJmjXeFGjYun7rMhOal1M0xcZkKG8HTAgpBVHZdUOW9xai4UjIw2nmrANXstLqlV1UiWxn7vWo1o2BZ7Bs+jYKb7tW8CwjURzs/wAJMniR0KAXR28cSrndppivXjUN6VIeVHt8dTjj8h3ctSWm0AkjJOEgckgAchV8eHjpe7DwozJXZ7gqPPtEFiG8iI4pEp1CXN7bSgCHFpyMpTkjI5cxVEW9jqcZsIUpKkj4yVEHu84/Ca8zdsU1OEhD7qVJVuSAs+KfOOfI+sVgZaGhj2Hfv6v/ANW6tOxq9W02S1UroFMEFseVG+dBdGUK1PDp03erJZuCUubZrhb40XQUCC9Imw3WmWZKUAqYdWU4Q4nBJQfGAB5cjXPH3gdq3wfb+1p7hxY5sWBFs7U6XxTkRwyHn1JWXFouS/3G2tIwEhDS0PK3BJW7vQk0PrmOpnqy+lcUHFHKCskZA5HGe/nUbemypcCDBflyZEGDkw4jz61sxs9/RNklLeeedoGa7g2MHWqw0qjTAzyK+IOWlBuxdu2iyVhecLsEZbp3zGvWtpPshOiNQz/CQv8AqONZpr1iuLVrh2+ehhRbuD6452txTj/pCvEOQ3uKcpzjcM47wzNJX+06e4Cvz7BdoDEbh3ara+7KgOtoZmJR40ZalJAS8PK2cLGDy5Vra7cZshuC07OlvNwG+ihtuyFrTFRnOxkE4bTnnhGBmviCpKSnespJ3FJWSCfPjNbynZnswwSPFXA61spVDVIafHgrZTwi9GaisXgyeD47c9PXi2NwIV0Zmqm295kRFuStzaXtyR0alp5pC8FQBIzXfX+htTwPAW4cuytM3qM1E1JcZslT1teQI8daMNvOZT4jauW1asJORg8xWtBWtRWVOOKKzle5xR3HvycnnTe4pS1F10lY2qJcUdw8x58+4VUWd4DRIyJPbP5q11rpFzyGnNoGvCPyW0b2hdUNfY7whel78haOISropCrVICkwxAIMogoyGM8ulPiZ/fVj79nix4Emg4WmWXLneeHF0ndu2qI2XJDMWS464iYG05UWRlIUsDCTvJwEqI1tLzpcLheeLhTtKi6okpxjHf3Y5Yr6224TLLc4tzts2VbLnFUVR50F9ceQycYJQ4ghSTjygirRZXDOc714K/w2mfFum6W3Tx6wvTM09OhaId1TKZ6taFOdDEMhKkKuCglRd6vkYcS2EpC1A4SXEJyScDbvSF9v6eIDfg28c7HF1ZpSAma1B1NLQlmdY4LDbhFyjTFEp6qkMAKUs5RzaWpRQWq1Avl6uWqLk9cb3c518uLyQh2bdJTkp9xI7gpxxSlEDyAmvQ7qy/yLPOtDuoLw7aJ8kzpluXcn1RZUgqCy+6yV7HHSoBRcUCokA5zV1ag+sBJH5dSts1rpWYmAY82fQQsJCWt2IytwYWpCSfF288ebyfgr707qVPC1JMmUpSlVVE8lKeSlQ6nOKmU+aFbtKUr5rXrIlKUoiUpSiJSlKImKUqRWu/6Y09pCa6/Z1XzWUic0xBZmtrXBZj4O5QQ24hTj6l4SEqBTjPImsjGXzEwoVrtPgtPEul2YGXTvPADeVHQQacqtbX2h2oHg+wNd3XTTWkNUMam7BmW6KVNpeZVH6VDj0Zbi1RngQRsIQSCCUYUkn78PLRou4+DvxQ1Ff9NreuemuoKj3K3zHESHg9ISnoylSlNIB5IKwgkIUSAVAZl+Bvv3CdRK4186LIbK61NaSGvDCBGRJAB1gjMKoa5q2OHTFg4u8NuKKnNIWnT9w0jpt3UVtuVoXKS4vot6lsPB15YdCkoxuwCNxxjlWM4OaNsd90ZrfiHqdl+bpjSMVpRtTDxZVcJby9jLK3E+M23uKdyk88K5d3N4G8loaZB92quHKeyNZWdVaWuplou5Em9F2M4zJjOI35L2eDLYbBrHjZpjS+pLDGvtrvD7rKw9IfaWwW4zzwUgtOJByWgCFAgg+SqtmzG3dQ36O00GWY1ylMNtgnCUIfWlKRnyAACr38FDXtt1X4SnD9DmiLLZnjLk9UmWFySx0ShBk5S4h111LqSncMjYoHB3EZFa+KUVar1Se7+zE3l/+4crPUpNbZQciZOfYtLY9pV6/KFzM2tNNpukyJl2Y3Z5aRKy9otE7UN4t9ptcYzLpcJDcSJHSoJ6R5xQShOTyAyRknkBknkKtXjdbNKeDjeYehbda7frLXTUVqRer1d0uPRorjg3JjxoqVpRnbtVud3nC08vG5erwMI8WR4TuihKxlvrjrAPldER0D/RKz+SoF4SAkyvCx4qrm56dF3CUhXkQIzAb/Js2UoU2tszq5Gcx1K3a9vtFfb9HZLXFtMMvGCReJJAmNQADloSc9F7uHD1g4ia703YdU2mHp9q5XOLFF1sbbjSfHeSnoXmN5Rtcz0Ycb6MtqWFEKAOIhqJLETWOpbfGb6GPAu02I21z8RDchxCU8yTySkDmSeXPNeQFSVIUkqStKgpJT8YKB5EevOMVYnCbhY9xM4j6tlatkzYUCzR52oNUPpbSiYSha1PNhJACHVudJnkAnarkOQqO3/0AUwPGnVb20TsWo62Pqk0Q3NpMwZ1aOmQI0BiNVXRIJ5kE14xao4dStCA3zJ2oAAye81P9Bau0/rTXFjst20VZ4WnLrcGLe4q1uSWpkAPuJaS63IW6vpFNqWlRDiFJUEkBKMjGfsfD+HoPwoGOGmrbbG1PHbv0azvb3nowdYkFstSE9EsFK+jeQopJIzuTz76Nsz5BacpjqVa23LKLzK9MhzWGoBl4wGsGYkb+9VaP/pXOaszUup9HaJ476k0vB0Hb71YompXrdJN4dkF8tGWULbjFp1CWUtpUUtkhajsClEZKRg+OljtvBzjnrfTUGI1dbZYZKXI0S5qcUhxtyK2+ltwtrQshJewCFAnYMk88qlkcwFxOhgqlk5SWe11GUm0yC9t5sx40RI1yOY1VU8SoMiCzZ+sMqZ6wz1pkKx47S87F8j3HacerB7iMwitp/shVwt9q49X3TMLS9iisRbdbmos5luSiRFbDCNqG0pfDCUhKdgHQnCTjvwRh71YeG0HwYdHcSWtCsMaicvUuzrtSrnLdiXFxKMofkK6QLDaAMlpotlalDx0pBB7n2IfBLBTpxOZHrK+EOXVp/Tm3q1uyZeYx0cJaFrgOdK2G0hobQ3GzU2stdQ9LyNJ6C0XpRF6venok8jtC5JQ6erRnlBZYZdWgDJ3KATyCSvxItwnm6Y4pcRrBovUuj7DZLbqKWi1sXPTqJTMu2SHcpYW2p2Q4Hkl0oSpLwWSFkpUkgZ33hOR8U5a9C4B4Fm0Xx4xy1zWT8DDSuluIfhBac0fq/TMXUdqvIkDc9KkMLjLZjuPpUnonEhQJa2lKwQQr1YNHA5K+4eOoYHk8Y1s74IOi7jw48PvTWk7vsVcrJcbtAfW2CEOlECUEuJB5hK0bVgHnhYzWsKf3/46v9o1ZSfetDiDkWg96ur08OyMDhmHOHcu1KUrYLVJTvpSiJmlKURKUpRE8lKeSlQ6nOKmU+aFbtKUr5rXrIlKUoiUpSiJSlKIlW/oH9jrPAzUjln1ZYtJ8Ul3JKDLvtyFucNr2gLbhvkeKtZJ3hs71JSUnkQDUFfKRGbkoKHBlPmqRQqik+8RK0e2Nnv2lZcGm+6QQ7iDG4jeDvCuSFF0Xd/BbXoNHEXT1tnQ9Ys3ydImJXFaETqykLMJpYS7MUnyIShC1KONqcgny8NZNqc8GTibZJup9PWW96oTbjboNwnlCwY8hLjgcIQQ3kJITk8+WdoOap82uP0fRlGU1yq3MqZDRTlseQ1O8NbLTd0BHmXERyWrmnWpmtlUc1+g5zSD2EgebLpVw+DZcLJZ+G/FcXjU1ksjmpdITLBbmbhKUhxUlxCwkrSEHY3lQ8Y/kBxWF4Kaus0XhvxJ4YamujNntuq2UIi35O52LEuEZzcyp0oBPV1qSjLiQcDmcA7hXIgMhjogjxPMa7MQ2o7exCcJ81UbbboaGjSfODqs1Xkr4Q+q6rU+sDdI8VzIukdm9XL4M8C18LuN2i7zqvV2loUK3zHx01uvka4NObor7fSKdZWptlrx87nVIUTtSEeMSmobzb27XrjU7LNyt93YcuMmQ1NtUjp47yFvLUkpWAPIQcYyMivGm2MIWSlPfzxnlXeNb2YyipsbSe+sT7Qx1M02jfKm2TYlpo29luq1LxDQw5QIEwRrxMrN6X1PctE6mtOorK8li7WqSiXFW4CUb096VAEEoUkqQoAjKVKGR31anGu5aL8IPV3whaZv1o0jq+ZEaZv+ldUz0W8PvNpDaH4st3DDpKNqCkqSSlpJwk5Bpnvr4yIjUkYcQFHzmsdC0YbHU3CWlTtq7EFutFK30HXK9PQxIIOoI3juVjaJg6d4favsGoNZXa2XSFb58eUqxafnM3F5/Y6kguutFTCG0Y3lIcUpewI2pCioZThnxisun+MfFE3WS+7ofWpu9plXOIwtbrEaTIeUzLS0QFKADmSjG/Cu4qTtNPtW1lsg8z6s16Esob+KnaMYxWRlpFKMMaGVEtOwqm0i822oTfbdMZCJkEDOCDnmT07lLeFOjGdJ6vsU7UepdMpsNouUafJuNtvcaYqU2y8lzaxFbWZIU5sACXWWyjdle3FZ60cRWuKvhkjiRcpkLTVnF+h3Nw3N/owzEjFpCEDaFbnS2yklI5blnngZqsFQWyoqAKSe/B767txW2kFKU4B7/PV4tYZzRvlRX8mn2iDaKsuDCwECIadcuJ3noGSmuroMC/eEtqibC1Np9603TUDt5YuonKEZEdcoOYcOzcHAk80BJPinGRgn6+FrPtmr/CF1rqHT18tl9tV/baciuQXypTZRDZYUl1JSCg7myR3ggg57wIAzb2GHStKcKPlom3MIeLqU4X56PtbXB4jnZq2zcm6lnqWariTggtjiCRn15BWN4bsqy8SeKdw4jWPVVgkWK42qGtmEJ6FXQSEJ6NUZcNOXG1AeOVrCW9oOFFRSlWN1a1Zz4ImltLM600rL1JaL9NvUq1x7kVO9A40QlKDsCVucviBX74AEnIFTa+aShMFYGCorB9gqIACu4thzarBSqkxmT3r4j5e2Vuxdv2iwt8YBrWgnWIEecBXH4PPFa06HtvEfR+o3lQbBrqwO2hV1S0t5NtlBK+ryFtoypbQLh3BAKuScA86cHNLW/hzxW05q7W+odOxdNaanou61Wa/wrrKuDrB3sMxo8Z1buVupb8Z9DKUp3bylWEmnaYrfvs94uLTF7VdeU7ZdawObJbp8b1s34O3FWBfvDNXxj1jerRpS1quM+fJauEs9KhL8V1hhloJRl0oSppJVhIIQT3kA66agsZ05eJVvNxtt2DS1FM20yC/GdSVHCkKKUnmMHCkgjIyAeVY/FKup0BTffB3AR1KyrajWphjhnJM9aClKVKUFKUpREpSlESlKURPJSnkpUOpziplPmhW7SlK+a16yJSncknyDvJ7hXTpUemn84VcGuOgWJ1Wmww5wC70rr0qPTT+cKdKj00/nCq3HcFZj0vLHaF2pXXpUemn84U6VHpp/OFLjuCrj0vLHaF2pXXpUemn84U6VHpp/OFLjuCpj0vLHaF2pXXpUemn84U6VHpp/OFLjuCY9Lyx2hdqV16VHpp/OFOlR6afzhS47gmPS8sdoXbFK69Kj00/nCnSo9NP5wpcdwTHo+UO0LtSuvSo9NP5wp0qPTT+cKXHcEx6XljtC7Urr0qPTT+cKdKj00/nClx3BMel5Y7Qu1K69Kj00/nCnSo9NP5wpcdwTHpeWO0LtSuvSo9NP5wrjpUemn84UuO4KuPS8odoUV4gfaoH4y/0CofUv1+tJZgYUk+MvuPqFQ/I84rvPkyCNmUwenvXnr8rDg/lbaS0yIb7IXNK4yPOKZHnFcqXUC5pXGR5xTI84oi5pXGR5xTI84oi5pXGR5xTI84oi5pXGR5xTcPOKIuaUpRE8lKeSlQ6nOKmU+aFbtKUr5rXrIpnw00XbdRxbncrjAj3F1mZ1RlMxpLrbSUtNrO1CgU7iXOZxnAAqa/BzYh/g7ZvoyP8AUr7eD3bhK0heV459suj/AFePVndjer3V31s4tp2Oi1ojxW9wXm7yqNS0betz6riTi1BnwDyAOoAQFVfwc2L5O2b6Mj/Up8HNi+Ttm+jI/wBSrV7EPo+6nYh9H3VsMVcWwVVXwc2L5O2b6Mj/AFKfBzYvk7ZvoyP9SrV7FPo+6nYh9H3VXFTB6FVXwc2L5O2b6Mj/AFKfBzYvk7ZvoyP9SrV7EPo+6nYh9H3UxUwVVXwc2L5O2b6Mj/Up8HNi+Ttm+jI/1KtXsU+j7qdiH0fdVMVMHoVVfBzYvk7ZvoyP9Snwc2L5O2b6Mj/Uq1exD6Pup2IfR91VxUwehVV8HNi+Ttm+jI/1KfBzYvk7ZvoyP9SrV7F+b7qdiH0fdVMVMHoVVfBzYvk7ZvoyP9Snwc2L5O2b6Mj/AFKtXsQ+j7qwtzkvQbui2xbPIuklTHWCGX2mglO7bz3keWrhUnRWmmGjNQT4ObF8nbN9GR/qVz8HNi+Ttm+jI/1Km/S3f5IT/wDv0X69Oku/yQn/APfov16rfPwVbcHD1FQj4ObF8nbN9Fx/qV4rhpPSlqKUyrNY2lqGQjsthSiPPgNn31YzarutxCf2HzyCoDHXon16qq326Rqa4zpsqR1CGyrp7jcFoK0xkqOEoSnI3uKxsbaBBVtOSlCFrTe0zmSsVTxYDRmVn7Lw207f4U2bEs1gVBhpy9IVbWAAsg9G0B0eS4sjkMdwUo+Kkmvn8HNi+Ttm+i4/1K5supZMzUcCFaLY92Syl1uLZ23kdIsFOVPOuHCVPq2pKlHAAAQgAAZmvS3r5HTf+/xfr1QlzTmrmXXiVChw7sae7T1nH4LZH+pXb4PrL94LR9GsfUqZCdNYkw27hpyXbmZUhEVD65TDiQ4rO0FKFE88Hn6qkHYh9GrDUIWQUg7cqt+D6y/eC0fRrH1KfB9ZfvBaPo1j6lWl2KfR91OxD6PuqmKrsAcFVvwfWX7wWj6NY+pT4PrL94LR9GsfUq0uxD6Pup2IfR91MVMAcFVvwfWX7wWj6NY+pT4PrL94LR9GsfUq0uxT6Pup2IfR91MVMAcFVvwfWX7wWj6NY+pT4PrL94LR9GsfUq0uxD6Pup2IfR91MVMAcFVvwf2X7wWj6NY+pXB4f2QgjsC0fltrH1KtPsX5vup2N6vdTFTAHBaOcZtMQ9Ja/lQ4DIjRXo7UpLCfitle4EJHkGUZx3DOBywBCKt3wqI3VOLWzGP7FRVY/wC07VRVsaZvNBWirtu1CE8lKeSlR6nOKy0+aFbtDShr5rXrItlfBWgda4fXteBgX54f6tGq4+xz5hVe+BvBEjhffV4z/bHIHd/7LFq9Oyvm13XY6kWWkPut7gvO3lDTnbNtP92r7blDuyD5hXHY58wqZdl/N91OyvV7ql4q0OEob2QfMKdkHzCpl2X6vdTsv1e6mKmEob2OfMKdjnzCpl2X6vdTsv1e6mKqYShvZB8wp2QfMKmXZfqHsp2X6vdTFVcJQ3sc+YU7HPmFTLsv1e6nZfq91MVMJQ3sg+YU7IPmqZdl+r3Vk7LpxbzcuYi39qLjBIZhkgIcdWSAV5I8RIBJGRk7RnnVprXRKqKMlVsYLSSQXGwRyPjd1QF5u6p4yNMpYhmEu2Z6zvOBHDgKv/mb/FA7sHPkNbCJna3GEl25wWwUtpDqEQWQSoJShG8IRkkgBI5n112RJ144FEKviSk4w6ktqUcE4SFAFfIE4TnuzRtoInTtVr7O10a5Hgq26kz/AOlb/PFfXsk4BwMHuqxVStfNNJeKr9tOCAGitX5UbSoD8KcVzJsb820mfKhMwp7Mjq0hMctbXSU5ClIbUQ24MEKSQnOQcCrcc747VkwQdJ84UEtGn2Jt0jNS30xIW7dJfJ+I0Pjbe8lRHJIAJyRywDVfcSODadTTcWC4JtltbeW+IjzB2SH1/bJS8HPSr7sHISBhIGVbrQ1hfLLoDTzl8v77jEFDgZbaYQFPyXSM9G2CQBhIKlKJwkd+SQDX+kPCM0Tq6/sWd6PK0/IkrDTEmTKakMb1HCEu7AFNhRIG/mkEgqwMqEhjqn1jJgKJVbRIFKoRJXk0Hwfj6MW7Ldkdo3JxPR9Ns2IaRkEhCeZ54GSfNUx7HPmFTNVoKFKStBQtJKVJUnBSRyII8hBzXHZfq91WOrlxklZWWdtMXWjJVPrq2lpOliR8bUUJHtDtSYWg47q7cSrd0SdF8vj6styO7zh6ph2V38vdV5qeKD1qxtLx3DqUN7IPmFOyD5hUy7LHm91Oy/V7qx4qzYShvY58wp2OfMKmXZfq91Oy/V7qYqYShvZB8wp2QfMKmXZfq91Oy/V7qYqYShvY58wp2OfMKmXZfq91Oy/V7qYqYShvY581Oxz6IqZdl/N91OyvVTFVMJfnR4ZbHVuN2zu/sLDP+k9VH1sD4dTHV+P+zGP7AwTj/tv1r9XIqBmk0rhttEWhwTyUp5KVjqc4qlPmhW7SlK+a16yLdPwGYnTcIr+oJz/bNJH+qxK2G7PPo1R/gAsdLwc1EcZA1RJ/okStlupj0c121ZXxZ6f4W9wXn7t2nO17af7tT23KutdantPDjTMm/XpTogtKS0hpgAuyHVZ2tIzyycKJJ5JCST5AafsnhZWmRduiv+kbhYLQpYBuTLy5Koye7e82W05SPLsOcdwUeRl3hl6Fuep+EjUi2MuyU2iU5Jlssp3EMLaLZd2jmUoOCrHckknkCRRus+N954vL1FYbN2xNf1LeWXbPaodxkOJdjo6c9Eptb60pKg42VhG1hIaCilIRmt1Z6YqsvRPEzp8arhlqrOo1LsxwETe+NFuIbZg4yFfOQcpI7wQfKCOYPlBB8tcdmishpTTDmmdJ2KzPOtyXrZbosBx9vOxxTTCG1KGfISgkerFZXqR8w9la6+tvhqEajmxtL2hdxlMyZLYeYjJZhIDjzrrzyGWkISpSQSpxxA5qA599eHti5Dv0BrX/ALhE/Wqy3FdpMbSUN5ZS2hGorApSycBIF4h5JPkGM86t06jtGSO1IWf/AHhH++qOqloBiVa2necQTEKl9N3GPqeFJkMRZkJUaW7BfjXBtLbzTze3elQStSf36eYUayvZorx8NW0S163dbUlxtWrbiUrScgjazzB8tTHqeO8Cry/NG05CjXZtOzRUl6kfMPZTqXPuHsq3EV2Eo12b/wA5qL8TeF8PijoO5aZmLbjdOtuTFlOtF1DEhvOxSkeVBClpVjmArI7qtBu2OuglDSlgeVKCa6GFg42j2VUVCDIOiGiCCHaFaGXPwV+J5kqZc0wzeUMkpRIZvMN1lQxglHSvIUAcY5oSeXdWPleDTxE63CgytItKkqQrqkZ+9W0r2IwVdEhUnOE5BO0YHKv0D6ln96PZVbaxiAce+GKSkEmBeOeP8W3WyZtCs7LLs/6tPU2ZRYJk6jf/AMWqEbwXOKMaX1ljRiokleQqU3eIDa8HkrK0yN2D5e/NX/wf4ASeF2m0tdssxL3OnszLt2Uw26w6w0FbIXSLSCUlS1LU4kA5wE9xJvjqPl2jP4K56n6hz9VRqttqVhDoUujs6lRdebM9JWsvhBaeuul29GaulXCbe7JYtUpuMxssNo6gwp9hxtCdgG5A6JTaVr55UkE8xVR8Q9WSeLFqsnD/AEtcL5qFUy6XB2PBuLSWUrMhSVMthCVr8RhPTErPJCCpRwAcb9KtD3RLKoylNKQUrCm8pUk94UDyKSO8Hkaw9k0PYtMuPOWTT9osjr6OiectduZjKdTnOFKbSkkZ8mceqrqdrDQJEkaKyrYC9xLXQDqvLOhB+Y84lXSAqP7oRjee7eR84jd+Wvh2aKkvUu7kPZXD0ZEaOZD7jMaODtL8hYbbB/GUQPyCoQetiaaqDi3B6NOgeXJWtLWnl+B6p32bgY/rrCcRGbXqVelURb9b2lWjUcK8PlaH1JWyz0m5KClsgqO8Y8nI86mcC4Wu6KQ3DucJ95ZwhnpejcUT5krCSfyVmdUN0KOymMR2esLD9mj/AJNOzRUmVBKFFKkFJHeFJIPsrjqR8w9lYsRZ8JRrs2nZoqS9T9Q9lOpeoeymImGo12aP+TTs0VJepeoeynUvUPZTETDUa7Np2aKkvUvUPZTqXqHspiJhKNdnY7hmnZ59HFSXqXqHsrnqY9H9NMRMJflp9kFZ6DwjduMf2vQD/pyK1urZ37I230XhM7f8m7ef/Ek1rFXMrIZoMPQuvdoCLU8fGieSlPJSqVOcVjp80K3aHupQ181r1kW/P2O9npeDOpcju1TJ/okStouqD11rP9jibDnBfVHLu1VI/okStqurjzGuz6B/U0/wt7gvgnbg/a1s/wAtT23LHJiEeMncMdxHkqBaZi2az8QeI0pm7welYTFeuEJq2NRVW1JZK1KcfQ2lTwcwXDuUrb3cqyet+DFv13ekXOVqDV1qdSwmP0Fj1FKgRyElRCujaUE7vGwVYyQB5qiU7wUrEqNclQ9T63ZnzGShb7uqZig8oIKUdNheXUjOMKJ5ZHccVPaWR4zvUuNVBVvC6yY6VYk27wYOnVXxDiJtv6umSy5GcCkSErx0ZQtOQUqKk4UMjBzVXvcTdQOuKWhyHHQe5tuKlQT+VWSfwk10Rwr014N3BS+qkXi8Pw/+jmZIJW60lan0DczDCw23lauZT4xHepWAKql7jdw5Yd2duXh/lnpWrJhHsU8D7ql0KTX3iAXDqKiV67mXQ4hpjSVZd31lc7/bX7fc0W64wHwA7Fl25l1pwAgjchSSDggHmO8VhUaQ0urTb8o6J0h1hM1DKVfsbhY2FsqIx0fnA51BXePvD1hQSl3Usz57VuZaH+k6azLPHPRHwfzbgmNqRyGi8sxV5ZjocDimFqBA3kFO0HPPOalGgQBDPUoXhLSTNT1qb2PVM3TFuTAs8e12mClRWmLBtjDLQUe8hKUgZOBzx5K9/wAJWoUkESYxx5DDbwfw8qqVPHLh0tO7ta+tZ59GuypKh+UP4r5O8e+HjONsjUssn/0dsZbx+c8aYAJ+r9Sr4SAPrB2raXSOoG9T2Nyc621EdjKKJSUnDaMDO8EnkkjnzPLB5+Wvfpm7WvWFraullmN3a1OOrbRMi+M06ULKFlCsYUnclQChkHHIkc6qLhnaeH/hCaEvdscMy+2pqa044zKYchLYe6MlB8VwhRHfnmPVXssngUcLIVvSzdbEvUEsOOHr8qU+06tBWShKg24lGUpITkJGducZJrWPbTYXNJIM6QtrTfVeGuaAQRrP/FQeuuDuu+IN7jXq58QbPf5E3UCrElq3SX+gtUoFwKZQ3y6INlooIACzyUSoncdkeAFr1FA0vc7RqHV1v1vJtU9UNE+E8t91ghIK477q+a1oJHeSobsKOQAMHo7wMNFabRfjMXcLgq5PvdE2xMditw4xcWWGkBtQK1Ntr2b3CokbuQC1AtHeBNw2sEObGvVji6sBkqXDkXFra9Hj7UhLJKCEqCSCdwAzu7qlVrRTqU7l7TTIfmodCy1aVTEDddfGP5K6+zleiaq7W8NSfCE4VJ2nBt95Hd/i2v8AfX2/ag8G/wD1d2f8xf1q7J8Efg+ltTY4f2lLaiCpAS5g47sjfzqGx7GmZO/d0dam1GVXgCBqDqd3mVki3K9E1D+L6Z9s4Z6gk26+NaWlNsA9tSGFPJhI3pDjm1AJ3bdwB/ek7v3tYT9qFwb/APV3Z/zF/WrHai8DXhbcbHNi2fSdssFzeb2MXRhhS3Iysjx0grwSBnGeWe/lVGGmHAlx7B+aueKpaQANOJ/Ja2I8GW52rVTl0RxMtEF5q2Ivv7MkvupCkLdU2Fda6XcokjJUVEK3YOcmt0dAql3rQunbhLnNXqTLtzD7lzixlMtSypAUHktqAKN4IVtIGCSMDuqvZPgZ8OXtFosDcOay80tT7d2EoqkpePevB/c+eBlO0D8vOutn8CvhTEtMFi56YRdri1Hbbk3BUuU0ZToSAt0oS7hO5QKto5DOKlV7QyuBedmOgadqh2ayvs7jdaIP3jr2KzIF8s9x1RM061PYcvcFDb0u3FW19tpeNq9pwSg5xuTkA8iQeVUnervK1BdHps1wuOlSg2k/FZRnkhA8gAx+HvOTUy0l4JXDnR+sWr9Csy1LjPNP26G6+4tmC6jH7ojcoqUsq55WSBgYA7zAj8dfn3q/SarQDLxLDOW9XVzUui+IzOh3LjFcLQlaSlSQpJ7we41zQ1NUBWfwwvKn7LJjXCagNx5DTERUl0A+ODhpJUefMDanydw5cq+XGrijE4RaCuN8Qyzc7g283DjQlO4HWXASnpdvNKQkKWRyJAABGc14+Gek7Lq6HNbvdqh3dEC4Rp8RMxkOBiQgKKHUZ+KtJ5gjmK545+D3buI2jtRosUKFbNUXKTHuLk0p6MTX2EFttL6gCSOjUpAVjl4pwQMHXHDFeH6SJWzmqbPLNYMKgfhO8I3TUqXe7tbo821QmjMmW59FsRFRHwSSlTTvTJBAOxW5ZOOQWeR2v0VqGDrvSVo1DbgoQrnGRJbbXje3keM2rHLchQUk48qTWlTHCzixqSRO0x8G7ltdm2i02F6bOUlEWM1AWS28XgSlecnIb3nHxQa3h4d6FjcPdDWPTcZ0yWrbFQwZBTtL6+9bm3J27llSsZ5Zx5Kz2zDDW3Yno4KJs81nOdfm797j0L39UHrp1QeY1kurjzGnVx6Naq8t1CxvVB5jTqg8xrJdXHo06uPRqt5IWN6oPXTqg9dZLq49GnVwPJyql5IX5NfZKk7PCh24x/azbv52VWrVbVfZMhjwpv8A+M27+elVqrXPLD+7M6l1ntMRbKnX7k8lKeSlXVOcVgp80K3aUoe6vmtesi/Qj7G0Argtqnly/ZTI/okStsejT6vZWqP2NkD4GNVfwpkf0SJW2WK7Lo/Us/C3uC+DduD9rWv/AC1Pbcvn0Y9Xsp0Y9Xsr6Ypisq0kKmPC+SE+Drq3Hnh/0xmvznr9G/DB/vddWfhh/wBMZr85mGVypLEdvHSPuoZRuOBuUoJGT5BkiuW7H+pcen3BcM22P17Or3roBUxif3E7v/CmL/Qna+nFPg9qTg1cbdB1L2eX57TjzBt0lTydqFBKtxUhGD4w89fOJ/cSu/8ACmL/AEN2to57ajWuYZErSim6m5zHiCAodSpLw+4dX7ilqFdj02xHk3JMZcsokvhlPRoUlKvGweeVp5Y/RWJ1BYpml7/crNcUIRcLdIXFkJaXvQHEnBAVgZHrxWcPaXXJzWLDcGh5GXFbf+AAArTOswfvgx/M1td0Y9XsrVL7H7/5t6z/APiDH8zW2OK4Pb/3l/xuXYGzR/5KfxvXz6Mer2U6Mer2V9MUxUCVs4Xz6Ier2U6Ier2V9MUxVFSF8+iHq9lOiHq9lfTFMUVYXz6Mer2U6Mer2V9MUxRIXzDYBB5cvVWqx+Mv8ZX6TW1uK1TPx1/jq/Sa2Vi1ctbbdGrih7qUPdWzWqVr8DBlm+j/ABjP6FVaXRj1eyqu4E/a75/nGv0Kq1cVpLT9a5b6zD9UF8+jHq9lOjHq9lfTFMVFUmF8+jHq9lOiHq9lfTFMUVIXz6Ier2U6Ier2V9MUxRIXz6Ier2U6Mer2V9MUxRVhfkj9k25eFQef+DNv/npdap1tZ9k4/vqlfwat/wDPS61TrsGwfutPqXV+1P32p1+5PJSnkpV9TnFR6fNCt2h7qUNfNa9ZF+hf2Nn+4zqr+FMj+iRK2zrUv7Gyf/Ixqk/5UyP6JErbLdXZVH6pn4W9wXwbtw/ta2f5antldqV13U3HzVmWllU54YX97rqz8MP+mMV+d9mBVfbQkDJM+MAPP+7Ir9D/AAwTnwddWfhh/wBMZr85FJCklJ5pIwQfNXLNkCaDh0+4Lhm2jFoYej3rcPw37tY7Zq3SPbGlnL+tyDK6J1N2chBsBxrcnCW1bs5BzkY/LWvqOI2lWtPPWRPDo9nvTET1p/ZK/vLyGy2k7ug7tqjyx31XEaFHhBQjsNR0qOSGkBOT+SvvWwoWRtKm1jjMdJHvWrtFrdWquqNET0A+5bQeBxetO3LjM63adIOWOUmzSVqlG8uSwUdKwCnYppIGSUndnljGOdUlxtGONWvvIe25P+0Kg8iKzLRsfZQ8jOdriQoZ/Aa7NNoZbShtCUISMBKRgAeoVeyzhlY1QdRHwVY+04lBtEjQzK3R+x+/+bes/wD4gx/M1tjkVpp4FGqP2K6U1A72RdLx17UEKBstMbp1R+kbx07oyNjKe9S+eB5Kk/hn8WbxbeGV+s1lhXqyu9oN2165uMFluY0uOp4iK4DlaScIURjmFpri9qourWxzBvPuXL7HXbQsDXu3D3rY63avsN3u8u1QL3bpt0iZ6xCjy23HmcHB3oBKk4JA5issDmvzg4l2HROiLZd3tIxLNGuca/NI09ebLqPrEuNEDCVl9LbbqghSXUra8cDko9/LO+fCfU8zWnDHSl+uDaW59ztcaXICEbUlxbaSopHkSScj1EVGtFmwmNqNMgqVZbXjvdTcIIUmmzo9tiPypb7caKw2p1195YQhtCRlSlKPIADmSaw+l9f6Y1sZA09qK034x8dMLZOak9FnON2xRxnBxnzVr14WUeVr3idw04cSZ79s05eRNmy3mRncuOwt1GQeSgno84OcFW7BIFa4TG7bwjvGg9X6Iud3nXaTKecZU70RjyGGpAYcZQpACnEPHkMpGUqScBYGM9GxCrTBveMdOHnPmUevtA0apbd8Ua55+YedfplkH11zXQHbXO6tUtzK7UrrupuokrmtUz8df46v0mtq91apn4y/xlfpNbGxauWttujUoe6lD3VtFqlbPAn7XfP841+hVWrVU8CuTV8/zjX6FVam6tHafrXLfWY/qmrtSuu6m6oykyu1K67qbqJK7UrrupuokrtSuu6maJK/JL7Jx/fVK/g1b/56XWqdbWfZOP76pX8Grf8Az0utU67BsH7rT6l1ftT99qdfuTyUp5KVfU5xUenzQrdoe6lD3V81r1kX6DfY31beC+qT/lVI/okWtremHqrUr7HQ50fBjU/r1TI/okStpusGuzqA/U0/wt7gvgvbh/a1s/y1Pbcvf0w9VOmHqrxdY9XurjrHq91ZoWklYXidoeJxQ0DetLzH1RWriyEJkNjcWXEqC217cjdtWlJ25GQMeWtFbh4H/Fm3zHWG7BDubaDhMuHcmQ06POA4pKh+Ajl5z31+gnWPV7qGR6qnWe11bKCGaFa+1WKjayDUmRwX55/tS+LfyST9KRP+JXn/AGrnFE3EwP2NxuvBrp+rdsQ+l6PON+3pc7c8s4xmv0UMj1VV2r9M62j8WW9Y6Th6fnoXYk2h5m8znYykkPqd3J6NpeRzA54qe3add0zA+Otax+ybOwAiT8dS1E/al8XPkin6Uif8SuU+CTxbWoJ/Ym2gE43LukXaPWcOE4/ADW4PbHGX5N6E+nJf6tTtjjL8m9CfTkv9Wqv6RtH3fjzqz9GWX7y7eDhwbc4KaHdgT5LEy93CQZc52MT0SVbQlLaCQCoJA+MQMkk4HICXcS+H9m4q6Rl6evjalRHylaHWiA6w4k5S4gkHChz9RBIOQTUQ7Z4y/JvQv07L/Vqds8Zvk3oX6dl/q1ap19z8QuE66rctwmU8INN2I0VP2PwBYLF7Su9avduNmQsFUSLE6u8+n0FOBR2g9xKAD34I7xtjCYjW6GxEiMNRYrDaWmWGUBCG0JACUpSOQAAAAHdiqwReOMpcTu05oTbkZ/s7L/VaiPDHU3Hq4aQjP3bTum3HlElpy/TnoM1bZ5pLrTTKwD5ATsVj4yEnOctV1a0C9UeDHUsVEULMbtJhE9BVlcW+Elm4xWNiBc3pMCXEWp2Fc4DmyRFWpJSopPlSpJKVJ7iKprgL4Ktjs9wgapvEi9T5FrmyEW61XmL1VEdxmQttMjosnIUWw82Rgc0L5kAixxeeMuR/a3oTGfv7L/VqxemvhusFrMSVC0dfHTJkyOtzL3KDgS68txDXKN8VtKw2n5qE550Y+qymabXgAo9lGpVbVcwkjoV1h0Dze2q944cb7LwL0aL7dkiS4++I0OGl1LapDpBVjcruSACScHHmJIrFds8Zfk5oX6dl/q1Q/ijq3jxaNPRHrPYLAi4quDDbbdhkvXB17O7KHG3WW0JaP75ZcRt5HcO8YadIF4BIjrWarXhhLQQeqVXWm/sisNN3a/ZVY7dbrG4rCpsC4F1cdGebikKSN4SOZCefI4B7juYHkkZBSQeYIOcjz1q7xIuHHXSenLrfrLZ7YmdelMP3RuxurnyrcW2ktEMtLQA4FBKSVJSsp5gJUBvFlrvPGfevGm9B4ycf2eln/wDy1ItDKbodSAb55UezVajJbWJd/wDMfHuVsJcBWnu761bPJa/xlfpNTTQV440yuJ96Zv8Aa7DH0qJMcbzIcUlr9yaKxCWEJW8k5JV0iUgLKglRCSBDXE7HnU5zhxYz+BRq+zsuOImcgqWioKrQQCMzqutD3Uoe6pygK1OB6tke+H/GM/oVVn9MPVVWcGFlEO+H/Gs/7KqsXrHq91aa0D9a5byzn9UF7umHqp0w9VeLrPq91cdY9XurBCkSvd0w9VOmHqrw9YP/ACKdYP8AzmqQUle7ph6qdMPVXh6wadYNIKSvd0w9VOmHqrw9YNcGQaQqSvyp+yaHd4U5P+TNv/npdaqVtR9kvVv8KUn/ACat387KrVeufWH92p9S6z2pnbKnX7k8lKeSlXVOcVHp80K3aGlD3V81r1kW+X2Pd8M8GtSDuzqmR/RIlbOddHnrVDwDZPQcHtQJB/wnk/0SJWx3aBHlrtazMmhT/C3uC+Atuv8A2vbP8tT23KQddHpD2066PSHtqPdpfOp2j86pNxaS+FIuuj0h7a466PSHtqPdpfOp2l86lxL4Uh66PSHtp10ekPbUe7S+dTtL51LiXwpD10ekPbTro9Ie2o92l86naXzqXEvqQ9dHpD2066n0hUe7S+dTtL51LiXwpD11PpD2064kfvh7aj3aPzqdpfOpcS+FIeuj0h7addHpD21Hu0vnfors3OU6tKEgrUo4CUjJNLiX0uHFDSNonvwbhq7T8CcwoJeiy7tGadaJAUApClgpOCDgjuIPlrz/AAw6F7/2daY+nIv/ABKqrhrp/Tmo9TcUZFysdkvcpGqXyHZsGPKcQ0Wm/KtKiEbs+rOfLmpwrQWjEEBWitMgkA87HFHIjIP2vzYP5azOpMYYMqMytUqNvCPXxWe+GDQoPLXWmPpyL/xK4+GDQvy60v8ATcX/AIlYH9gui/kXpj6Eif8ADp+wTRZ/wL0x9BxP+HVtxnSr79To9aymneOeh7/rBdgh6lt67i1IZaa3SW+hmFYQodXdCih05VtKEnduSfF8tVs//wBZf/zrn+0am+keHmkNO6w7ZtunbdEucuUz+7Nx0BMcAIRtYQAEsggZVsAKiTknkBCJH/WX/wDOuf7RqTSDQ43OAUWqXlgvxMnRdKHupQ91SVEVj8KHA1bL0c//AH7I/wBFVTfrw79w9tV5w8f6vZLwrzymB/oLqQG5gAkqwPXitbVbNQrbUnRTCkfXR6Q9tcddHpe+o6m6BXMLB/BihuYSMlWB5zisdxZb6kfXR56ddHnqPG4kKKScKAzg99O0D56pcS+FIeujz066PPUe7QPnp2gfPS4l8KQ9dHnrjro89R/tA+enaB89LiXwvzW+ySLDnhO5Hyat385JrV6tmPsiTvTeEoFd/wDa5bx/4kmtZ65tYxFnYOhdcbRM2p5+NE8lKeSlKnOKxU+aFbtD3Uoe6vmtesi3G8CeYI/Ce/Iz/hLJP+qxKv7tQec1rH4I07q3Da+IKiD+yF9X+rRauztYema7mslObNSP3W9wXnlt94G2baP7tX23KX9qU7UqIdrD0zTtYemalYa0OIFL+1Kdqf8AOaiHaw9M07WHpmmGmIFL+1KdqVD+1R6Zp2qPTNMNMQKYdqU7U5VEO1h6Zp2sPTNMNMQKX9qU7UzUQ7WHpmuO1h6ZquGmIFMO1KdqVEO1h6ZrjtUemaYaYgUw7U/5zVD+FPxAuMSBa9MwX3IsW5NOPzlNKKVPNpUEhkn0SSSoeXAB5cjZHao9I1H+KfDVGpbDZ77IYhybq0hxdpgz1EsSQT/+JTjJaBAUEjKV8go7SQctG7TqAvUa036tJzaeq1lsjQ0I3b9QhRjagU0HrIwz4io7agdsx0DvbI5tsnxXR4ywpohLm5+htbPav0XY77JSESrhES9IAzjpgoocIzzwVpUR38iOZrUe3cMdU6w1VdGrk+lmciQld0uE19Lq97id4VhJ8dRTzAGAOQ8UACtmbSYlitEC2QtzcOEwiOylSsnYkYBJ855knzk1MtYa6N7lr9n32F0iG+9duKfFmdogWi1WC0ovurLyh56LFeKiyyw0lSluqSlSStRCHMJ3JGG1HJwAY7ovjTrNrUlgtHETTsC1RtSOIZtN1t+1vLq8BoLbQ87ubWtSUbvFKSod+FY8fEO23hWqtJ6803alaluWn2JEKZY2ysvvsOIfSl1tCAVuACS8FBsKUk7Dt25IgmiND3jUuuNH3WbpKZonSukkxkp7RaeQp9EeW7LbYa6ZCFvOLcWUEpG1CQVKIOAqM2nTw84987lKfUq42U7oG6N8ra2yXAuXu1pAUCqUzyIOcFxNa+p8JLQ0lt+Qqx6nad6RxSIwdjKS6M5BLnLZnzYOPXUzs1ut1tdtIdl3d5iHeWr0pXaTqnnHUuJWpBWTlTRwf3Inbzx5a1p4hcLL5w0kSHZcZ2bpsuKMTUMVsrhvNFR2FxY5MOYICm3NpCgcbgMlQo03PIeercq2qvVbTDmDfnvVvjwkdHdQD505qHrxwFQUy2OiHnIeKckeYFPPy4r6p8IzQy5YaVZtTsxinJlByMtSD5uj5bh69w/BWtTcll5O5t1DgPlSoGu8RfaE9qDDQ5OnunDUOG2p99w+ZDaAVKPqANbLwOkM5PatMLdWOUDsW7PCLinate6f1P2TaZ1rbgzooK50pDyn0rS6EnCUgIPinIye/vqPcXNc6nlaw05w90ZcOxbvd4Ttxk3VCVqeS0EPqSy0UIWtJKYzxJbSXCShKSMnOJ4KaQuvDTR96Z1A0LddbxKjPt2xSgp+Oy0heFPYJCFL6QYbJ3ADKgCcVxxN0PK12/bbzYLjEt+qYEN+2FFwwGZsN5DqCjeUqShYTIfT4w2kO/GSUg1qrlMVSW6bpzEx3St4X1XUG3snb4yMT3wvDoTWWruH2rtJWnU2sxrCzapmrtzTEgzHZsF/pzF6XfKaQ4gJkgNraUo8txCQQCZDxu1/qRidpHRuj5Tltvep1nfcGVlDrTZWG0oQ4AVNJ+2LccQNyUoOCOeYJwq4bz4kzTF61FdrTKtemC52FarZJal4eDylgrcZGwIbfy5grUoqQE4SnNTvWmm39WM2yZZLwjT+rrS1Ji2+4vFYQpiQ2W3W+kQC4y4ApRQ8kEpKld2QRc5rBUByPmynd7pWNjqhokZienON+fbChWmdUa64OamsCdUawa1HZLvdF2qbaZN0lTpUZaHgw+6hT7f7mplxYyULKXBkYUCFp2MfmLivusO/bGlqbXtORuSSD7xWvmmNHX3VeobDqjXGpLNfI1lf6eExaXesuzpDZbSC+6EpTtC4zZWSStZQoYG4mpVqzjBY9HygxcpkiTcFp6VTEZHSOYP75ZJATu5nmc+XGKo+majgGjPfAyV1GoKTSXE3Zyk5q1u0qdpf85qttMcR7PrKM69aZi3SyQHWHklt5vPcSnPcfOCR+Ws12r84/wDP5awmkQYKltrNcJapf2ngU7THnNQ/tbylZoLsPSNUw1diBaMeH090/hD7v8n4I/8AEkVrrV9eG4/1jjuF5z/YKEPYt+qFrk9mEUmhcHtpm0PTyUp5KVZU5xVKfNCt2hpQ91fNa9ZFsN4Mtw6poS9IzjN9dVy/92jVbXbPzjWv3Aq49V0veUZ5G8OK/wBXj1YvbQ9L313xYKc2Sj+FvcF5v8o6sbbtw/vVfbcp52z8407Z+eagnbY849tcdtD0vfU7CXHcbpU87Z+eads/PNQTtsece2uO2x6Q9tMJMbpU87Z+eads/PNQTtsece2uO2h6XvphJjDip52z8807Z+eagnbY849tcdtj0h7aYSY3Sp52z8807Z+cagnbY849tcdtD0vfTCTG6VPO2fnmnbPzjUD7bHnHtp22PSHtphJjdKnhvAUMFWQfPXZ2+rfeW864px1eApazkkAYAz5gMADuAAA5VAe2h6XvFO2h5+X4aphJj9K9kXVCbBq/VDsmFdXUTXIq2nIdudfQoIYCT4yRjkeVZP4TIn3vv/0M/wD7qwPbnz/eK57d+efbWQsnULCKjho5ZxXEqEsDdbr8eYPOyv8A5PJXZzidGfdLrsHULrxGC45Z5ClEebJGawPbvL45/OFcdufP99UwxwVcV/lepZ74TIn3vv8A9DP/AO6vvA4udkvqfgN6ngvKxuXGtclsqx3BWB4w9RzUb7d+efbTt355/OFUNIEQQqis8GQ71LI6s4pO3hUN5qyvSpfXo6pL0zRUd1aowV+7DK4xJJT+XzEVnWeN0iLC6nEb1Dbomc9BbbAuEn8vQNoz+Woj26cfH94rjtz5/vq3Ap+SFXHqD+tZxHEmE2kJRbb8hI8ibK+P6q7o4mQ96SYF/HPvFlfyPdWA7d+f7657d+efaKvwxwVMV3lepe6xcRI0S1NtLsF2tiwtwmLDs75aTlxRCgdo5qBCj61GsgjiZD3JzAv4GRkizP5HurAdufPP5wrntz5/vFLgO5Wio4CL3qXt0/xEjxrSy29YLrbXQtwmNBsj/RIy4ogjCRzUMKPLvUail/u2n9R3e/REaWlrvkuE4uJLWh9t8yOgKWy40pQCEhQRhRG3AGeVZ3tvnnd7SK6ou7ba3FoCELdx0i0gBS8chk95x5M91XhsGQFY4lwAJy6l5tP6u0zZ9U3JFo0rcYKWW+jU7GYffkKyr4q2Ss9GnkCCef4KlSeJUNagk2nUfM45WZz/AH1Hjd0F7p8I6bZ0fS4G/bnO3PfjJ7u6u3bpHMLI/wC1/wDWqOYHGSFc17miA71LPaQ4it6rgB5MV+I8hI6XcgqZ3eUIc7j+DkRyrOm8/ONQJu7oZababCGmW0hCG2wEpQkdwAHID1Cue2hn43vqw0pOQWVtYgeMZK1n8L6R1rjP0g+88Qf6b1UtVq+EzJ63xTK85/sZGT/pO1VVbOkIYAuOWk3qzinkpTyUrDU5xV9PmhW7SlK+a16yL3WLUd10u7JNuXHWzJUlbsaUlRTvAwFpKTkHGARzBwPNWY+FDUXd1a1+12ozSuQ0NvW+z020mPyGkhdZbR+Tjk3tS1PtlooG+8yYcQCd5jp3qTfChqL7mtftdp8KGovua1e12ozSs/zl2l5Y7Atb9FPJX7B3plSb4UdRfc1r9rtPhQ1F9zWv2u1GaU+cu0vLHYE+inkr9g70ypN8KGovua1+12nwoai+5rX7XajNKfOXaXljsCfRTyV+wd6ZUm+FDUX3Nava7T4UNRfc1r9rtRmlPnLtLyx2BV+inkr9g70ypN8KGovua1+12nwoai+5rX7XajNKfOXaXljsCp9FPJX7B3plSb4UNRfc1q9rtPhQ1F9zWv2u1GaU+cu0vLHYE+inkr9g70ypN8KGovua1+12nwoai+5rV7XajNKfOXaXljsCfRTyV+wd6ZUm+FDUX3Nava7T4UNRfc1r9rtRmlPnLtLyx2BPop5K/YH0ypN8KGovua1+12nwoai+5rV7XajNKfOXaXljsCfRTyV+wd6ZUm+FHUX3Na/a7T4UNRfc1r9rtRmlPnLtLyx2BPop5K/YO9MrJX3jdf7EGFOW+2vB0kDYt0Yx+GsV+2RvX3ng/wAa5UW4gfaoH4y/6qhx512rsOvUtthZXrGXGe9fHfyg7Ns2weUNewWAFtNobAmdQCc1bX7ZC9feeD/GuU/bIXr7zwf41yqlpW/uNXXOM/ira/bI3r7zwf41yn7ZG9feeD/GuVUtKYbUxn8VbX7ZC9feeD/GuU/bIXr7zwf41yqlrgUw2pjP4q2/2yN6+88H+Ncp+2RvX3ng/wAa5VSmg5Uw2pjP4q2v2yF6+88H+Ncp+2QvR/8AyiCP/mOVUtKYbUxn8VktR6inasvUi6XJxK5T2BhA2oQkDCUpHkA/SSfLWNpSrwIWEkkyU8lKeSlRKnOKl0+aFbtKUr5rXrIlZDTtilap1JZ7HBLaZt1nMW+Op5RS2lx5xLaSogEhIKgTgE4HIE8qx9ZHTkaDM1FbGLncXLRb1vp6a4tJUpcUDmHUhPjFSSARt55AwQcGrmgFwBUe0Oc2i9zDBAMZTnHAa9W9drpbbdDiynY13L0mLPVb37bMimNMaWkHKlNlStoBG0pPjJVyNfXQOnUa+1tY9NtXBuC7dprcFErounS04s7U7khQOM8jz5fkqaXziVG1Zp6BK4optWq7vBvlsDVztRaN2nWlKldeZkuNFO9HRhsNdNseClKyB4xHrtnEVuPxu0zNm3DT6tJ23WKbrFnwitbrUEO5BSnesx2Q0lv/AKLtbKVAANjFbPwaneDpykfB4LgI29bcGrRdSOKGugjMEgZXcvGz3EDhmqdt1yYucZLrLiF5AKkpUDtJGcHHlr7CUytClpebKEfGUFjA/CasrhzqfTtntGkG+Jc6NqURtVRn9jaxPEO1COpDyVhOcR1PmOvqnftacHRJ3bVddEarbhMaTVqm+RJ+p4+tLdKTclTUSkxbajb11Tjw3JDS8ApZJz4qsNpKgDj8EBjxtVN+cj2hwNncS3hMHXTLQRn6pVb9aYCVK6ZsJScKJWMA+YmuzbrbwJbWlYBwSlWQDVmQb/ctXXviRb27/bLcIwcY0/eBNjwEwGVzy623GkqU22hC20/FU4leAQkH91FRzi3e7ve+Jl0fuVuFnYWEO2+3ofZkMsw1je10TrJLS0L3Kcy0SgKcWE4xgWPs1xl8FTLHt3wm0izGnBInXPdGWu/tlYeVaTF0/brsp9BbmyZEZLIT4yCyGyST5c9KOXkxWT0JpBOt7rPgG5C1riWyXdOkVGLwcRGaLriOSk4JSk4PPnXn1CSOG+lD/wDq1y/2YtSTgnPi2jVl1lzLjb7UyrTt1htv3JxAbL78VTTKdqgrcCsjOUlIAOfMbWU24rAdDErJabbaBs+01aX1jL92BOYJgRv0AUOuLNsYtsCZBu/XhJLgcYdjGO4xtxtVgqVuQrKsKGBlCh316pFiab0Hb9Ut3Fp9mXc3rWYqWyC0ttpLu7pNxCgUrHkGD56kOgJFqj3/AEpqTXl1sTrcd/s1NshtMSEMtoivmPLkMRk9F0bchxglCASsIUVIUSQvNaVv5uNk4dRNV3O16muUHXYlXKFcrmJ+6GWGwpx11BX0jQ2OqJytCdp6QJQVVJFla4n44ZrR1OUFopMbDSYMnpEOyBiIEDPLdrKqhMyOsEpfaUMbshY7vP8Ag51yJLXR7w6jZnbu3DGc4xmrZmS74j9hNpuOo2GrSybkHNXG7QLmmfL6FxxptTzTzjbL6UL2tOPrBbW+XAcNpx79JansSeJnC27TrzYjEFgnQL+q4TetHpk9fQhEorQC6ClyGgKIOQAElSG9ws8DzgmNPd3KX86G3C9tK9k6LpmYmMwP6o6xOYlUy28h1JUhaVpBxlJzzrJ3KzKtlmslxW+haLqmSpDQSQW+hcSggny53Z5d2KxZ1Be9SPtSb5NVPnsMNxFvubCopbBASVIAC8ZICueRgZICcSHWQ/tK4e/5u5/0huowpiXDgPet9Utr7lF4EXnQR5ie8L3cPOHz3EmfcLXb5yWL41DelQLeuOV9ouNoUvqyFhQCHFBKtuQQSO8cs+bhlo48Tp0xuNcmYEKHbJF1emraLo6NppTu1KAQSpSULI5geIc+SuNKSJdpg3e9W67QbVd7WI023mU+EuuSGn0Oo6NBHjlOwKIOAoDaMk4NgWfVGj/hYv8AMsNxhWTT99sV1ujrc94Mog3K4QC31BPigqDT6nfGQnYEuJ9AFUqhRp1A0u459I/4uO7Y2pbbFVrsoyQWEtMTdeBppnekRrnPUqY69FW7tbkJUlSiGyvCVLHkO3Pf6udTWHw666nTxTeG0G9WO5XpkKiK/c+pIeU6wrx+9QjuYWOXdlPPl9NK6sj6Y4babi2M2FF5jzLixqSPeXituSlzYhlZQhwJlshrpEhCA6pCxvSBuSqstp+5QGmOGAfu9tZchaS1LCliRPbSqO/LZmojNuHPxlmQ16huO7G04vZZqYdDjOnuUW17etjrPfoMLXC9umYa6JEZSQCOIIVcSHrYmHAei3Vqc860tUthLSkGC4FqAbUonCyUgLyMAbsHmDWUsdhbvum9U3hFxaYbsERmY40psqD6FyEMYCwcJKS4Ccg5APdU5suo9OmxcO2rzcoTl0j6RvNuiSnHg6m13Rx51VvXI25KAlCkBKyFBlRQo7S3lOK05q24RdI8QXrlqGF2yrT8aJBcExl2SVN3Bp/al9OemdS2lxSXAta0gNpSsKShKbPBmhwk5f8AFJG3bRUpOaxhDg4a7xiQYy0u79QDPSaU17LZXCtzyXmyypS9rgUNp5Dy1DzIaSEkuoAUMpJUBkYzn2VsfxAnMypT90i62t8C9J0RalSXIs5tE26XNHRIloROOS08koS44tsl18NhKOlyoH7a61jZ4+oePNy05qGxtxr/AGmy3Gym3vtNqclgw3ZTjKSlKmpIUiYo4CHQskgJWpNdu7AeaFgZTAnM5+dfF3yikbR5Q1rU/wAUkNkf/Iy+AtaW5LLikJQ8hZWMoCVAlQ8489cImR3FBKH21qVnASsEnHfWweqNSR7y3riFL1JbJ0W48PrQpTK7m0tuZqBo27rTy/Gw7MwzOBfOVKCyAshwAyDVmqHo94tEnU2oYz2k5vCi3m42mXKSt65znbWtMQiPtKlyhJUw6JRT+5pbVl5PxFb8Wp8c1dcGwU84f8SVq++70LK3CM7QSRWb1rptei9b6m025IExyx3ebaVyUo2B5UeQ4yXAnJ2hRbKsZOM4yajs3Itz245V0ZyfyVP+Of8Ad34pfwxvn/8AYyKlF5xQ3dBPrCgim3wd1TeHAeo/kvo5w7tkThvp7WUzUrzUO7XGVazFZtBddjvR223HDkvJC0kOpxjbnn3Vi+IWgp3Di5wmJsmLcLdcoDV2td3glXVp8NwHY6jeEqQQQpK21gKQpKgQRhSprcWY108HXRVij3mx9sRtR3O5yIT11YbcZjPx46Wlr3KAGS0vKASscsp7wJJN19o5DemdLRri1c39KaFuNstGpuicZjjUEqQmSXGS4ErQ22kusNSHEIKXVIdw0EhxMPGqNMwTmezcVsPB6LxBIGQznfvC186yyAk9KjCjtT4w8Y+Yec1JNLaTTqmxayuLVxRHd03bmrkuKWCvrCFS2IxTvCh0agqQhXMHIBHLvq4tFa4tQncPNMT7i5Luup4lw0rq+5QnRJcEac8lq2qU8FEPvxlq6TclSj0Kug3EEtoidr1QJ+lOJduVf4jrMXRrOn7EqTMATKW1coklZYC8KUhwsyXkgjIQWm+9KU1ea7zkGxp2TCsbZKYhxdIIPbEqp0vNrWUJWlS08ykHmPyV3q5OM2tbZczd4Ojk2VHDma1bHLNAkOLcuFuLMZtLjSGS6rqzvS9P0zmxKZGd+5wqBFN1KpPNRt4iFr69JtJ91plKUpWZR08lKeSlQ6nOKmU+aFbtKUr5rXrIlKUoi+Cojas8hz7/AF12EZsL3BIB9VfWlXXisOEzWF8OptE52jvzXJiN5PigZ519qUvFUwafkhfSJMdgQpsRttmRDmKQt+JJSpTa1ozsX4qkqSpO5XNKhkEg5GK8rrkibMQ8+QlLbSWGWW07W2Wk52toT5EjJPlJKlKUVKUpR+xGa4wB5KvxHRdUc2KhiCqGwQvpOnSplqg25SkmHDedkNI24IW4EBZJ8o/c0+yvktAcQUq7iMEV2xSrC4mFIZRYybo1XmRb2UJ2hIxnOK9VvddtExMuG4GH0pcbypCVpUhxtTTiFJUClSFtrWhSSCClZHlrimM1W+4ZyrHWWi5pa5gg9C+Ux56THbiNsMQYSHjIMaIlQQp0p29IorUtSlbfFGVYA7hzJPzFvaznaAqvTj1Uq41HFYqVioUpDWr5tMIZBCBjPOvvcrhLuMK1wnVpMa2h0RwEYKQ6sLXk+XJSK6Uq0PIWd9Cm8BpGmY6F0W2lxJSRyNdBEa5eLzHLNfalWyQshpscZcF50wWUI2hIxnNdlRG1FJKRlPdX2pVbxVmBTAi6F5xAZGPEHLn3VyIjYzy7++vvSl4oKNMaNUO12whhqBtGMqWPcKieB5qmPED7VA/GX/VUOrvTkznsynPT3rz1+VhobyttIbwb7IXUpykgeL6x5KkGstaTtczLZJuEeDGXbrbHtMZMBpbaUxWE7GUHctRJSnxdxOT5STzrA0rlBaCQd66jD3BpaDkV1cbDrakK+KoYNZHUN9map1FeL5cVocuV2nSLjLW2jYlT77qnXCE+QFa1EDyDlXgpVYEzvVLzrt2clxgeamK5pVVavdZr3K0/KfkwugTJcjuxg68wl1TIcG1S2twPRu7chLg8ZG4lJSrBHgCQABgYrmlUgTKuLiQATkEpSlVVqUpSiJ5KU8lKh1OcVMp80K3aUpXzWvWRKUpmiolKZpmiJSmaZoiUpmmaIlKZpmiJSmaZoiZpSmaIlK+qYcpUJUwRJKoSXA0qWGFllKyMhBcxtCj6Oc+qkWLInyER4kZ+ZJczsYjNKdcXgEnCUgk4AJ5DkAT3CqwVbfbBM6a9C+WaV7LXZbne2nHbba59yaaKQ45CiOPoQVfECihJAKvID3+TNfHqcndLT1SRuhpUqUnoVZjJSoIUXRj9zAUQklWACQDzIFIOsK3FpyW3hI1zXxpXpctc9qfIgLt8xFwjdL08NUZYfZ6JKlO72yNydiULUrIG0JUTgA15qEEaq5r2u5plKUzTNUVyifED7VA/GX/VUOqY8QPtUD8Zf6BUOrvXkx/C6fn7154/K1/N1p6m+yEpSlcrXTyUpSiJSlKIlKUoiUpSiJSmc0oieSlPJSodTnFTKfNCt2lKV81r1kWUhz7M1GaRJsEiXIA8d9F2LIWc9+zoVbeWB3nur7dp6f8AkxK+nVfq9YWlZMQjL3D8lDNlpOMmfSd/ss12np/5Myvp0/q9O09P/JiV9Oq/V6wtKYjujsH5KngdL73pv/2Wa7T0/wDJmV9On9Xp2np75MSvp1X6vWFpTEd0dg/JPBKX3vTf/ss12np/5Myvp0/q9O09P/JiV9Oq/V6wtKYjujsH5J4HS+96b/8AZZrtPT/yZlfTp/V6dp6e+TEr6dV+r1haUxHdHYPyTwSl9703/wCyzXaen/kzK+nT+r07T0/8mJX06r9XrC0piO6OwfkngdL73pv/ANlmu09P/JmV9On9Xr5ybjZHI7qGNOyWHlIUG3VXkuBCsclFPQDdg88ZGfOKxNKGoejsH5KoslIGfG9J/wDspJAuzMfRd2hvXCOp+Sw23EYCXg6hxMlC+jdO3YYxT0i1AHfvCMYwamlkv+hLVxJVcoDcG226FqN8w3XG5iwbXl7q7iASpXS4WgK3gckp8XO7dU+KVlbXLQMhktfW2Uys57sRwvTIBgZwNN+ilPDu5Wy0aO1PDunZr0iYzbkMQboh9TT/AELyluAlpCsYBGN3InvSocqyQmadtOn78xCuzE+6yrPNhu3GW1J6eZLVKjuIWjIKQ0pDSzlYCyrJVjIxA8VziqCsQAI6FdU2YypVdUvkXnBxA6IgdWXxlE/vS9Ev3O5MQFQWrUiXqAw1FuUHC25Ec7LO7BUQl/oshfP424KBJPzac0L1149E2qJseMREjrO4DspwNiQUHmvr3RHLfi43fvMCoJimPbVTXkzdHYsTdk3WXMd+kc7rz689egLNXSVZkXxp9mCiXb1wIinIkOQ5GQiV1ZoSNqlpWoAPB445jChg4wKdp6f+TEr6dP6vWFpWI1DJIHqC2LbIwMa1xcYAE3nCY3mCM+JXj1vd9Lobgh/SUx4FS8bNQqQRyH/sxzUV7a0b8jLj/KU/qleriB9qgfjL/QKh1d38mm39mUyenvXwB8qpweVdpY0ZQ3WT/SN5zUo7a0b8jLj/AClP6rXHbWjfkZcf5Sn9UqMUrlGGOK6jxjwClHbWjfkZcf5Sn9VrjtrRvyMuP8pT+qVGKUwxxTGPAKUdtaN+Rlx/lKf1WuO2tG/Iy4/ylP6pUYpTDHFMY8ApR21o35GXH+Up/Va47a0b8jLj/KU/qlRilMMcUxjwClHbWjfkZcf5Sn9Vp21o35GXH+Up/Vai9KYY4pjHgF7bxJt0uaHLXbXrVF2BPV35vW1bsnKt+xHI8uW3ljvOa8VKVkAgQsJN4ynkpTyUqJU5xUunzQrdpSlfNa9ZEpSlESlKURKUpREpSlESlKURKUpREpSlESlKURKUpREpSlESlKURRPiB9qgfjL/qqHVMeIH2qB+Mv+qodXe3Jj+F0/P3rzw+Vr+brT1N9kJSlK5UunkpSlESlKURKUpREpSlESlKURPJSnkpUOpziplPmhW7SmaZr5sgr1gxGcQlKZpmkFMRnEJSmaZpBTEZxCUpmmaQUxGcQlKZpmkFMRnEJSmaZpBTEZxCUpmmaQUxGcQlKZpmkFMRnEJSmaZpBTEZxCUpmmaQUxGcQlKZpmkFMRnEJSmaZpBTEZxCifED7VA/GX/VUOqY8QPtUD8Zf6BUOrvTkyQNmU56e9eenyseNyttJHBvshKUpXKrw4rp+6eCUpSl4cUunglKUpeHFLp4JSlKXhxS6eCUpSl4cUunglKUpeCXTwTyUoTgUqHUIvFTKbTdGS//2Q==" alt="" width="163" height="212" />Process Dynamics and Control<br/><strong>Instructor:</strong> Seborg<br/><strong>Textbook:</strong>Process Dynamics and Control third Edition ,Seborg,Edgar,Mellichamp,doyle<br/><span style="text-decoration: underline;"><strong>Download Slides from here</strong></span><br/><table width="65%" border="1" cellspacing="0" cellpadding="0"><br/><tbody><br/><tr><br/><td valign="top"><br/><p align="center"><strong>Slides </strong></p><br/></td><br/><td valign="top" width="55%"><br/><p align="center"><strong>Topics</strong></p><br/></td><br/></tr><br/><tr><br/><td valign="top"><a href="http://www.che.utexas.edu/course/che360/lecture_notes/chapter_1.ppt">Chapter 1</a></td><br/><td valign="top" width="55%">Introduction</td><br/></tr><br/><tr><br/><td valign="top"> </td><br/><td valign="top" width="55%">Feedback control</td><br/></tr><br/><tr><br/><td valign="top"><a href="http://www.che.utexas.edu/course/che360/lecture_notes/chapter_2.ppt">Chapter 2</a></td><br/><td valign="top" width="55%">Mathematical modeling</td><br/></tr><br/><tr><br/><td valign="top"> </td><br/><td valign="top" width="55%">Dynamic responses</td><br/></tr><br/><tr><br/><td valign="top"><a href="http://www.che.utexas.edu/course/che360/lecture_notes/chapter_3.ppt">Chapter 3</a></td><br/><td valign="top" width="55%">Laplace transforms</td><br/></tr><br/><tr><br/><td valign="top"><a href="http://www.che.utexas.edu/course/che360/lecture_notes/chapter_4.ppt">Chapter 4</a></td><br/><td valign="top" width="55%">Transfer functions</td><br/></tr><br/><tr><br/><td valign="top"> </td><br/><td valign="top" width="55%">First order systems</td><br/></tr><br/><tr><br/><td valign="top"><a href="http://www.che.utexas.edu/course/che360/lecture_notes/chapter_5.ppt">Chapter 5</a></td><br/><td valign="top" width="55%">Second order systems</td><br/></tr><br/><tr><br/><td valign="top"><a href="http://www.che.utexas.edu/course/che360/lecture_notes/chapter_6.ppt">Chapter 6</a></td><br/><td valign="top" width="55%">Complex processes</td><br/></tr><br/><tr><br/><td valign="top"><a href="http://www.che.utexas.edu/course/che360/lecture_notes/chapter_7.ppt">Chapter 7</a></td><br/><td valign="top" width="55%">Fitting models to data</td><br/></tr><br/><tr><br/><td valign="top"> </td><br/><td valign="top" width="55%">Fitting models to data</td><br/></tr><br/><tr><br/><td valign="top"><a href="http://www.che.utexas.edu/course/che360/lecture_notes/chapter_8.ppt">Chapter 8</a></td><br/><td valign="top" width="55%">PID controllers</td><br/></tr><br/><tr><br/><td valign="top"><a href="http://www.che.utexas.edu/course/che360/lecture_notes/chapter_9.ppt">Chapter 9</a></td><br/><td valign="top" width="55%">Instrumentation and valves</td><br/></tr><br/><tr><br/><td valign="top"><a href="http://www.che.utexas.edu/course/che360/lecture_notes/chapter_10.ppt">Chapter 10</a></td><br/><td valign="top" width="55%"></td><br/></tr><br/><tr><br/><td valign="top"><a href="http://www.che.utexas.edu/course/che360/lecture_notes/chapter_11.ppt">Chapter 11</a></td><br/><td valign="top" width="55%">Closed loop transfer function</td><br/></tr><br/><tr><br/><td valign="top"> </td><br/><td valign="top" width="55%">Block diagrams, Stability</td><br/></tr><br/><tr><br/><td valign="top"><a href="http://www.che.utexas.edu/course/che360/lecture_notes/chapter_12.ppt">Chapter 12</a></td><br/><td valign="top" width="55%">Control loop analysis</td><br/></tr><br/><tr><br/><td valign="top"> <a href="http://www.che.utexas.edu/course/che360/lecture_notes/chapter_13.ppt">Chapter 13</a></td><br/><td valign="top" width="55%">Overview of control system</td><br/></tr><br/><tr><br/><td valign="top"><a href="http://www.che.utexas.edu/course/che360/lecture_notes/chapter_14.ppt">Chapter 14</a></td><br/><td valign="top" width="55%">Frequency response</td><br/></tr><br/><tr><br/><td valign="top"><a href="http://www.che.utexas.edu/course/che360/lecture_notes/chapter_15.ppt">Chapter 15</a></td><br/><td valign="top" width="55%">Ratio control</td><br/></tr><br/><tr><br/><td valign="top"> </td><br/><td valign="top" width="55%">Feedforward control</td><br/></tr><br/><tr><br/><td valign="top"> </td><br/><td valign="top" width="55%">Air Heater Demonstration</td><br/></tr><br/><tr><br/><td valign="top"><a href="http://www.che.utexas.edu/course/che360/lecture_notes/chapter_16.ppt">Chapter 16</a></td><br/><td valign="top" width="55%">Advanced control strategies</td><br/></tr><br/><tr><br/><td valign="top"> <a href="http://www.che.utexas.edu/course/che360/lecture_notes/chapter_17.ppt">Chapter 17</a></td><br/><td valign="top" width="55%">Advanced control strategies</td><br/></tr><br/><tr><br/><td valign="top"><a href="http://www.che.utexas.edu/course/che360/lecture_notes/chapter_18.ppt">Chapter 18</a></td><br/><td valign="top" width="55%">Multivariable control</td><br/></tr><br/><tr><br/><td valign="top"> </td><br/><td valign="top" width="55%">Multivariable control</td><br/></tr><br/><tr><br/><td valign="top"><a href="http://www.che.utexas.edu/course/che360/lecture_notes/chapter_19.ppt">Chapter 19</a></td><br/><td valign="top" width="55%">Real-time optimization</td><br/></tr><br/><tr><br/><td valign="top"><a href="http://www.che.utexas.edu/course/che360/lecture_notes/chapter_20.ppt">Chapter 20</a></td><br/><td valign="top" width="55%">Modeel predictive Control</td><br/></tr><br/><tr><br/><td valign="top"> <a href="http://www.che.utexas.edu/course/che360/lecture_notes/chapter_21.ppt">Chapter 21</a></td><br/><td valign="top" width="55%">Process monitoring</td><br/></tr><br/><tr><br/><td valign="top"><a href="http://www.che.utexas.edu/course/che360/lecture_notes/chapter_22.ppt">Chapter 22</a></td><br/><td valign="top" width="55%">Batch Processing</td><br/></tr><br/><tr><br/><td valign="top"><a href="http://www.che.utexas.edu/course/che360/lecture_notes/chapter_23.ppt">Chapter 23</a></td><br/><td valign="top" width="55%">Biosystem control design</td><br/></tr><br/><tr><br/><td valign="top"><a href="http://www.che.utexas.edu/course/che360/lecture_notes/chapter_24.ppt">Chapter 24</a></td><br/><td valign="top" width="55%">Dynamics and Control of Biological system</td><br/></tr><br/><tr><br/><td valign="top"><a href="http://www.che.utexas.edu/course/che360/lecture_notes/appendix_a.ppt">Appendix A</a></td><br/><td valign="top" width="55%"></td><br/></tr><br/><tr><br/><td valign="top"><a href="http://www.che.utexas.edu/course/che360/lecture_notes/AMD_day_pres_8.ppt">AMD process control</a></td><br/><td valign="top" width="55%"></td><br/></tr><br/><tr><br/><td valign="top"><a href="http://www.che.utexas.edu/course/che360/lecture_notes/air_liquid.ppt">Air Liquide Slides</a></td><br/><td valign="top" width="55%"></td><br/></tr><br/></tbody><br/></table>Engineeringppthttp://www.blogger.com/profile/06590183128732553253noreply@blogger.com0tag:blogger.com,1999:blog-5559290073655157043.post-39424301141539206012012-09-12T07:07:00.000-07:002012-10-13T22:22:18.241-07:00Quantum Computational Intelligence PPT SLIDES<img 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" alt="" width="158" height="206" />Quantum Computational Intelligence<br/><strong>Instructor</strong>:Marek Andrzej Perkowski<br/><strong>Textbook</strong>:Quantum Inspired Intelligent System<br/><span style="text-decoration: underline;"><strong>Download Slides from here</strong></span><br/><ol><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/Quantum-Computational-Intelligence/2007-001-motivation-to-quantum-computing.ppt"> Motivation to Quantum Computing. </a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/Quantum-Computational-Intelligence/2007-002-Entanglement-and-EPR-robot.ppt"> Quantum Entanglement and EPR circuit. </a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/Quantum-Computational-Intelligence/2007-003-Quantum-Circuits-Analysis-Synthesis.ppt"> Quantum Circuits Analysis and Synthesis. </a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/Quantum-Computational-Intelligence/2007-004-Grover.ppt"> Informal introduction to Grover Algorithm. </a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/Quantum-Computational-Intelligence/2007-005-Designing-Oracles-Grover-Algorithm.ppt"> Designing Oracles for Grover Algorithm and Homework. </a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/Quantum-Computational-Intelligence/2007-006-complexity-quantum.ppt"> Comparison of quantum and probabilistic concepts. </a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/Quantum-Computational-Intelligence/2007-007-QA-and-Deutsch%27s-Problems-other-QA.ppt"> Deutsch's Algorithm.ppt </a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/Quantum-Computational-Intelligence/2007-008-Simon.ppt"> Simon Algorithm. </a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/Quantum-Computational-Intelligence/2007-009-grover1.ppt"> Grover more formally. Part 1. </a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/Quantum-Computational-Intelligence/2007-010-grover2.ppt"> Grover part 2. </a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/Quantum-Computational-Intelligence/example.pdf"> Example of good project from a student</a></li><br/></ol>Engineeringppthttp://www.blogger.com/profile/06590183128732553253noreply@blogger.com0tag:blogger.com,1999:blog-5559290073655157043.post-72788549483862112122012-09-12T06:36:00.000-07:002012-10-13T22:22:18.251-07:00Basic Sequencial Machine Theory and Synchronous Finite State Machines
PPT SLIDES<img 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" alt="" />Basic Sequencial Machine Theory and Synchronous Finite State Machines<br/><strong>Instructor</strong>:Marek A.Perkowski<br/><strong>Textbook:</strong> Sequencial Machine Theory and Synchronous Finite State Machines<br/><span style="text-decoration: underline;"><strong>Download Slides from here</strong></span><br/><br/><a href="http://www.ece.pdx.edu/%7Emperkows/CLASS_573/toCHIP-Nov/LECTURE_1.ppt">Lecture 1. </a>Introduction to Sequential Machine Theory. Why Sequential Theory, software/hardware. <a href="http://www.ece.pdx.edu/%7Emperkows/CLASS_573/toCHIP-Nov/LECTURE_2.ppt">Lecture 2. </a>Equivalence. Deterministic and Non-Deterministic Finite Automata.<br/><br/><a href="http://www.ece.pdx.edu/%7Emperkows/CLASS_573/toCHIP-Nov/LECTURE_3.ppt">Lecture 3. </a>Regular Languages. Languages and Formal Languages. Strings and substrings.<br/><br/><a href="http://www.ece.pdx.edu/%7Emperkows/CLASS_573/toCHIP-Nov/LECTURE_4.ppt">Lecture 4. </a>Deterministic FA/PDA. Numerical Acceptor. Languages accepted by FA.<br/><br/><a href="http://www.ece.pdx.edu/%7Emperkows/CLASS_573/toCHIP-Nov/LECTURE_6.ppt">Lecture 6. </a><cite> </cite>Regular Expression Manipulation FSM model. Null Machine<br/><br/><a href="http://www.ece.pdx.edu/%7Emperkows/CLASS_573/toCHIP-Nov/LECTURE_7.ppt">Lecture 7. </a>Behavioral Equivalence. Examples. Verifying behavioral equivalence of FSMs.<br/><br/><a href="http://www.ece.pdx.edu/%7Emperkows/CLASS_573/toCHIP-Nov/Lecture_8.ppt">Lecture 8. </a>Morphisms of State Machines. Free semi-groups. Concatenation.<br/><br/><a href="http://www.ece.pdx.edu/%7Emperkows/Nov17/022.Advanced-FSM-minization-and-assignment.pdf">Advanced FSM minimization. In PDF format.</a><br/><br/><a href="http://www.ece.pdx.edu/%7Emperkows/Nov17/038.Rule-based-state-assignment.pdf">Rule Based State Assignment. In PDF format. </a>Flip-flops. FSM equations.<br/><br/><a href="http://www.ece.pdx.edu/%7Emperkows/Nov17/039.state-assignment-using-multiline-and-partitions.pdf">State assignment using multiline and partitions. In PDF format. </a><br/><br/><a href="http://www.ece.pdx.edu/%7Emperkows/Nov17/040.Example-state-assignment-using-rules.pdf">Example of using state assignment based on rules. In PDF format. </a>Engineeringppthttp://www.blogger.com/profile/06590183128732553253noreply@blogger.com0tag:blogger.com,1999:blog-5559290073655157043.post-51715382179421010612012-09-12T06:19:00.000-07:002012-10-13T22:22:18.244-07:00Design of Sequencial Circuits PPT and PDF SLIDES<img 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" alt="" width="165" height="200" />Design of Sequencial Circuits<br/><strong>Instructor</strong>:Marek A.Perkowski<br/><strong>Textbook:</strong> Switching and Finite Automata Theory by Zvi Kohavi<br/><span style="text-decoration: underline;"><strong>Download Slides from here</strong></span><br/><br/><strong>Finite State Machines and their minimization.</strong><br/><ol><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/MARCH_3_06/LECTURE_A_2.FSM_review.ppt">Review of Finite State Machines.</a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/MARCH_3_06/LECTURE_B_1_FSM_Minimization_intro.ppt">Introduction to Minimization of Finite State Machines. Completely Specified Machines.</a></li><br/></ol><br/> <br/><br/><strong>Minimization, state assignment and realization of Finite State Machines.</strong><br/><ol><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/MARCH_3_06/LECTURE_B_2_minimization_of_the_FSM.ppt">Minimization of FSMs. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/MARCH_3_06/LECTURE_B_3_Advanced-FSM-minization-and-assignment.ppt">Advanced FSM minization and assignment.</a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/MARCH_3_06/LECTURE_B_4_FSM_Encoding_intro.ppt">FSM State Encoding</a></li><br/></ol><br/><strong>State Assignment of FSMs. Advanced methods and partition theory.</strong><br/><ol><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/MARCH_3_06/LECTURE_B_5_Rule-based-state-assignment.ppt">Rule based state assignment. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/MARCH_3_06/LECTURE_B_6_state-assignment-using-multiline-and-partitions.ppt">State assignment using-multiline and partitions. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/MARCH_3_06/LECTURE_B_7_Example-state-assignment-using-rules.ppt">Example of state assignment using rules. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/MARCH_3_06/LECTURE_B_8_encoding-based-on-partitions.ppt">Encoding based on partitions. </a></li><br/></ol><br/><strong>Design of FSM from Flowcharts and similar techniques.</strong><br/><ol><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/573_2007/Addition%20and%20Subtraction%20with%20Signed-Magnitude%20Data%20%28Mano.ppt">Addition and Subtraction with Signed-Magnitude Data. PPT slides from Mano. Use of flowcharts.</a><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/573_2007/Engin112-F06-12-04.pdf">Ciesielski. RTL design. Slides in PDF. </a>H<a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/573_2007/Engin112-F06-12-06.pdf">Slides in PDF. Control logic design by Ciesielski. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/573_2007/ATT00392.pdf">Marek Perkowski et al. Automatic Design of Finite State Machines with Electrically Programmable Devices. Paper in PDF. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/573_2007/ATT00389.pdf">Marek Perkowski. Symbolic Analysis of Sequential and Parallel Program Schemata in the Digital Design Automation System. Paper in PDF. </a></li><br/> <li><strong>4. </strong><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/573_2007/28_schematic_vs_vhdl_2.ppt">FSM implementation in VHDL. PPT slides. </a><strong></strong></li><br/></ol><br/>Some more slides on <strong>Flowcharts and similar techniques </strong><br/><ol><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/573_2007/20Compute.pdf">Slides in PDF on Design using flow-charts. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/573_2007/xx.pdf">Slides in PDF from Mano about basic design on RTL level using flowcharts. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/573_2007/CSCE611%28Fall02%29-Lectures8&9.pdf">Davis. State Machine Design methods. Flowcharts. Slides in PDF> </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/573_2007/LCDF3_Chap_08.ppt">Sequencing and Control. Slides in PPT. Fundamental. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/573_2007/PattPatelCh05.ppt">Slides in PPT. Instructions in microprocessor. Addressing modes.</a><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/573_2007/Scamp-poster-030424-C.pdf">Slides in PDF in control unit design using flowchart and HDL.</a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/573_2007/Lecture23.ppt">Lectures on Assembly Language for Intel Based computers. FSM. While Operator. Flow-charts. Slides in PPT. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/573_2007/Lecture_Set_1.pdf">Slides in PDF> Special Topics in Advanced Digital System Design. Boards and tools. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/573_2007/Mano-Chapter-8.ppt">Mano Chapter 8. Slides in PPT about flow-charting and control design. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/573_2007/c11multiControl.ppt">Slides in PPT about Multi-cycle control. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/573_2007/chap2.pdf">Lecture on DSP processor fundamentals. PDF format. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/573_2007/k.ps">Timing of FSM and FFs. Slides in Postscript. </a><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/573_2007/luento8.pdf">Mano. Slides in PDF on assembly leved processor design. </a></li><br/></ol><br/><strong>Decomposition of Finite State Machines. Serial and Parallel Decomposition. Links to Encoding. </strong><br/><ol><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/MARCH_3_06/E_01.INTRO_EXPERIMENTS.pdf">Introduction to experiments with Finite Automata. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/MARCH_3_06/E_Homing-synchronizing.ppt">Examples of homing and synchronizing experiments. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/MARCH_3_06/LECTURE_C_2_Advanced_Theory_Decomposition.ppt">Advanced FSM Decomposition Theory. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/Kumar_2007/Lecture_12.pdf">Lecture in PDF on Testing and Testable Design of Digital Circuits. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/Kumar_2007/ravikumar96randomized.pdf">Randomized Parallel Algorithms for the Homing Problem. Paper in PDF. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/Kumar_2007/presentation.pdf">Homing and Synchronizing Sequences. Slides in PDF. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/Kumar_2007/lo_principles_testing.pdf">Slides in PDF. Principles and Methods of Testing FSM - A Survey. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/Kumar_2007/cse460_lecture15.pdf">State Identification; homing, synchronizing and distinquishing sequences. Slides in PDF. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/Kumar_2007/survey.ppt">Slides in PPT on Algorithmic Testing.</a></li><br/></ol><br/><strong>Asynchronous Automata. </strong><br/><ol><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/MARCH_3_06/C_001_intro_asynchr.ppt">Introduction to asynchronous Automata. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/MARCH_3_06/C_002_Realization-asynch-automata.ppt">Realization of asynchronous automata. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/febr-2007/Basic=Asynchronous=circuit=design.pdf">Marek Perkowski. Basic Asynchronous circuit design. File in PDF. </a></li><br/></ol><br/><strong>Asynchronous Automata. Asynchronous Systems. </strong><br/><ol><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/MARCH_3_06/C_003_metastability.ppt">Metastability. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/MARCH_3_06/C_006_self-timed.ppt">Self-timed asynchronous machines. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/MARCH_3_06/design-of-self-synchronized.pdf">Design of self-synchronized state machines. </a></li><br/></ol><br/><strong>Cellular Automata. </strong><br/><ol><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/MARCH_3_06/D_0000_Intro-Cellular-Automata-Artificial-Life.ppt">Introduction to Cellular Automata and Artificial Life. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/MARCH_3_06/D_0020.Cellular_Logic_Illustrations.ppt">Cellular Logic Illustrations. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/MARCH_3_06/D_0021_quantum_dots.ppt">Quantum Dot Cellular Automata. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/MARCH_3_06/D_0028_Cellular_morphogenesis.ppt">Cellular Morphogenesis. </a></li><br/></ol><br/><strong>Cellular Automata in Physics. Reversible Cellular Automata. Simulations in biology and social life.</strong><br/><ol><br/> <li> <a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/MARCH_3_06/D_0030.Cellular2.ppt">Cellular Automata models in Engineering. </a></li><br/> <li> <a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/MARCH_3_06/D_0040_cellular_reversible.ppt">Reversible Cellular Automata. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/MARCH_3_06/D_0050.Margolus-Physical-Reversible-Models-of-CAs.ppt">Physical Reversible Models of Cellular Automata. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/MARCH_3_06/D_0055.Margolus2.ppt">Part 2 of Physical Reversible Models of Cellular Automata. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/MARCH_3_06/D_0056.Margolus3.ppt">Part 3 of Physical Reversible Models of Cellular Automata.</a><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/MARCH_3_06/D_0096.artificial-life.ppt">Artificial Life. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/MARCH_3_06/D_0097_Fish+and+Shark.ppt">Cellular Automata Model for Fish and Shark. </a></li><br/></ol><br/><strong>Basic concepts of Sequential State Machine Theory. Non-deterministic and deterministic automata. </strong><br/><ol><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/MARCH_3_06/LECTURE_A_3.Set_theory_intro_FSM.ppt">Set Theory and Introduction to State Machine Theory. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/MARCH_3_06/LECTURE_A_4.Equivalence.NDFA.DFA.ppt">Equivalence. Nondeterministic and Deterministic Finite Automata. </a></li><br/></ol><br/><strong>Regular Languages versus automata. Complete design procedure starting from regular expressions. </strong><br/><ol><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/MARCH_3_06/LECTURE_A_5.Regular_Languages_Expressions.ppt">Regular Languages and Regular Expressions. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/MARCH_3_06/LECTURE_A_6_Deterministic-nondeterministic-FA-PDA.ppt">Deterministic and Nondeterministic Finite Automata. </a></li><br/> <li> <a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/MARCH_3_06/LECTURE_A_7_Regular_Expressions_FSMs.ppt">Regular Expressions. </a></li><br/> <li> <a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/MARCH_3_06/LECTURE_A_8_Behavioral_Equivalence.Mealy_to_Moore.ppt">Behavoral Equivalence. Mealy and Moore Automata. </a></li><br/></ol><br/><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_573/MARCH_3_06/Lecture_A_9_Morphisms.Homo.Iso.ppt">Morphisms of Machines. Homomorphisms, epimosphisms, isomorphisms. </a>Engineeringppthttp://www.blogger.com/profile/06590183128732553253noreply@blogger.com0tag:blogger.com,1999:blog-5559290073655157043.post-52448881990534965632012-09-12T04:54:00.000-07:002012-10-13T22:22:18.247-07:00Quantum Computing PPT SLIDES<img 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" alt="" width="243" height="209" />Quantum Computing<br/>Instructor: Marke A.Perkowski<br/>Textbook: Approaching Quantum Computing Dan. C. Marinescu and Gabriela M Marinescu<br/><span style="text-decoration: underline;"><strong>Download Slides from here</strong></span><br/><ol><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/QuantumSlidesMay5-2011/2011-0010-Toffoli_gate_and_ESOPs.ppt"> Toffoli_gate_and_ESOPs. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/QuantumSlidesMay5-2011/2011-0011-reversible_circuits_synthesis._Various_Methods.ppt"> reversible_circuits_synthesis._Various_Methods. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/QuantumSlidesMay5-2011/2011-0013-motivation-to-quantum-computing.ppt"> motivation-to-quantum-computing. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/QuantumSlidesMay5-2011/2011-0014-Quantum_Gates.ppt"> Quantum_Gates.ppt. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/QuantumSlidesMay5-2011/2011-0015-Quantum_Gates_and_Circuits_Research.ppt"> Quantum_Gates_and_Circuits_Research. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/QuantumSlidesMay5-2011/2011-0016-MMD_and_MP_reversible_synthesis.pptx"> MMD_and_MP_reversible_synthesis. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/QuantumSlidesMay5-2011/2011-0018-Billard-Ball-Model-and-Conservative.ppt"> Billard-Ball-Model-and-Conservative.ppt. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/QuantumSlidesMay5-2011/2011-0019-Y-gate-and-%20Reversible-Gates-in-various-technologies.pptx"> Y-gate-and- Reversible-Gates-in-various-technologies.pptx </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/QuantumSlidesMay5-2011/2011-0021-Midterm-Exam-for-Quantum-Computing-Class.pptx"> Midterm-Exam-for-Quantum-Computing-Class.pptx </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/QuantumSlidesMay5-2011/2011-0022-reversible-and-simple-MV-gates.ppt"> reversible-and-simple-MV-gates.ppt </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/QuantumSlidesMay5-2011/2011-0024-Group-Theory-Approach-to%20-Reversible-Logic-Synthesis.ppt"> Group-Theory-Approach-to -Reversible-Logic-Synthesis.ppt </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/QuantumSlidesMay5-2011/2011-0025-advanced-group-theory-methods.ppt"> advanced-group-theory-methods.ppt </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/QuantumSlidesMay5-2011/2011-0026-Regular-Quantum-Circuits.ppt"> Regular-Quantum-Circuits.ppt </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/QuantumSlidesMay5-2011/2011-0027-Symmetric-regular-structures.ppt"> Symmetric-regular-structures.ppt</a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/QuantumSlidesMay5-2011/2011-0030-Introduction-QFSM-Engineering-Methods.ppt"> Introduction-QFSM-Engineering-Methods.ppt </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/002.Already-in-chip/2011-0031-State-assignment-QFSM.ppt"> State assignment of QFSM. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/002.Already-in-chip/2011-0032-Synthesis-of-Reversible-Synchronous-Counters.pptx"> Synthesis of Reversible Synchronous Counters. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/002.Already-in-chip/2011-0033-Quantum-automata-formalisms.ppt"> Quantum automata formalisms and complexity classes of quantum algorithms. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/002.Already-in-chip/2011-0035-intro-to-postulates.ppt"> Intro to Quantum Postulates. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/002.Already-in-chip/2011-0036-review-algebra.ppt"> Review of Linear Algebra for QC. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/002.Already-in-chip/2011-0037-Postulates-of-quantum-mechanics.ppt"> Postulates of quantum mechanics. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/002.Already-in-chip/2011-0051-quantum-circuits-intro-Deutsch%20a.ppt"> Quantum circuits intro and Deutsch. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/002.Already-in-chip/2011-0052-superdense-teleportation.ppt"> Superdense Teleportation. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/Good-2011/2011_000_QA-and-Deutsch%27s-Problems-other-QA.ppt"> Quantum algorithms and Deutsch's Problems. PPT format. </a><br/><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/Good-2011/2011_000_QA-and-Deutsch%27s-Problems-other-QA.pdf"> PDF format. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/Good-2011/2011_001.Introduction_to_Grover.ppt"> Introduction to Grover Algorithm. PPT format. </a><br/><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/Good-2011/2011_001.Introduction_to_Grover.pdf"> PDF format </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/Good-2011/2011_003-grover_theory_1.ppt"> Grover Theory. Part 1. PPT format. </a><br/><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/Good-2011/2011_003-grover_theory_1.pdf"> PDF format </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/Good-2011/2011_004-grover_theory_2.ppt"> Grover Theory. Part 2. PPT format. </a><br/><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/Good-2011/2011_004-grover_theory_2.pdf"> PDF format </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/Good-2011/2011_005_Designing-Oracles-Grover-Algorithm.ppt"> Designing Oracles for Grover Algorithm. PPT format. </a><br/><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/Good-2011/2011_005_Designing-Oracles-Grover-Algorithm.pdf"> PDF format </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/Good-2011/2011_006_Analysis_of_encoding_for_Grover_Oracles_Dhawan.pptx"> Analysis of encoding for Grover Oracles, by Sidharth Dhawan. PPT format. </a><br/><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/Good-2011/2011_006_Analysis_of_encoding_for_Grover_Oracles_Dhawan.pdf"> PDF format </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/Good-2011/2011_012_set_of_Grover_examples_for_Projects.pdf"> Set of Grover examples for Projects. PDF format. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/Good-2011/2011_014_Quantum_Fourier_for_shor1.ppt"> Quantum Fourier Transform for Shor algorithm. PPT format. </a><br/><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/Good-2011/2011_014_Quantum_Fourier_for_shor1.pdf"> PDF format </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/Good-2011/2011_015_Phase_estimation_Binary_and_MV.pptx"> Phase Estimation. Binary and Multivalued. PPTX format. </a><br/><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/Good-2011/2011_015_Phase_estimation_Binary_and_MV.pdf"> PDF format </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/Good-2011/2011_016_SHOR_number-Theory-Use-of-Phase.ppt"> Shor Algorithm. Number Theory and using Phase Estimation. PPT format. </a><br/><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/Good-2011/2011_016_SHOR_number-Theory-Use-of-Phase.pdf"> PDF format </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/Good-2011/2011_018_controlled-shift-algorithms-general.ppt"> Controlled Shift Algorithms. General. PPT format. </a><br/><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_FUTURE/Good-2011/2011_018_controlled-shift-algorithms-general.pdf"> PDF format </a></li><br/></ol>Engineeringppthttp://www.blogger.com/profile/06590183128732553253noreply@blogger.com0tag:blogger.com,1999:blog-5559290073655157043.post-801615990425138922012-09-12T04:47:00.000-07:002012-10-13T22:22:35.464-07:00Advanced Embeded Robotics PPT and PDF SLIDES<img src="data:image/jpeg;base64,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alt="" width="235" height="200" />Advanced Embeded Robotics<br/><strong>Instructor</strong>: Marke A.Perkowski<br/><strong>Textbook:</strong> Embedded Robotics , Thomas Braunl<br/><span style="text-decoration: underline;"><strong>Download Slides from here</strong></span><br/><br/><strong>PROPOSITIONAL LOGIC AND MODAL LOGIC IN ROBOTICS. </strong><br/><ol start="1"><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/005.intro-to-logic.pdf">introduction to logic. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/009.basicLogic.pdf">Basic Logic. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/010.ReasoningAgents.pdf">Reasoning Agents. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/011.RepresentationandLogic.pdf">Representation and Logic. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/012.First-Order-Logic.ADDITIONAL.pdf">First Order Logic. ADDITIONAL. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/2011.001.BooleanLogic.pptx">Boolean Logic. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/2011.002.RobotMorality_and_Review_of_classical_logic.pptx">Robot Morality and Review of classical logic. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/2011.003.Introduction_to_Satisfiability.ppt">Introduction to Satisfiability. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/2011.004.Wumpus-world-propositional-logic.ppt">Wumpus world in Ppropositional logic. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/2011.005.A_muddy_children_and_intro_to_modal_logic.pptx">A muddy children and intro to modal logic. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/2011.006.WiseMen,Muddy_Children,Logic_Puzzles_and_Modal_Logic.pptx">Wise Men, Muddy Children, Logic Puzzles and Modal Logic. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/2011.007.The_Narrow-Bridge-Universe.pptx">The Narrow Bridge Universe. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/2011.008.sum-and-product-problem.pptx">sum and product problem. </a></li><br/></ol><br/><strong>KNOWLEDGE REPRESENTATION AND PLANNING WITH FIRST ORDER LOGIC. </strong><br/><ol start="1"><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/2011.011.Intro-to-Knowledge-representation.ppt">Introductio to Knowledge representation. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/2011.012.%20Introduction-to-Planning.ppt">Introduction to Planning. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/2011.013.From-propositional-to-predicate-logic.ppt">From propositional to predicate logic. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/2011.014.First-order-logic.ppt">First order logic. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/2011.015.Inference-in-first-order-logic.ppt">Inference in first order logic. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/2011.016.Examples-of-FIRST-ORDER-theorem-proving-Colonel-West.pptx">Examples of FIRST ORDER theorem-proving and Colonel West. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/2011.017.AI_Prolog_Tutorial.pptx">Artificial Intelligence in Logic. Prolog Language Tutorial. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/2011.1001.ROBOT-MORALITY-easy-introduction.ppt">ROBOT MORALITY. An easy introduction. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/2011.1002.Prolog-Planning-Monkey-and-Banana.ppt">Prolog Planning Monkey and Banana. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/2011.1003.Modal-and-Deontic-Logic-Derivations.pptx">Modal and Deontic Logic Derivations. </a></li><br/></ol><br/><h3><strong>Mobile robots. </strong></h3><br/><ol start="1"><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/EE440_rMeng.pdf">Class about autonomous mobile robots. In PDF. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/HW1-05.pdf">Homework in mobile robot kinematics. In PDF format. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/Paper-correction-odometry-error.pdf">Measurement and correction of systematic odometry errors in mobile robots. Paper in PDF format.</a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/kinematics-mobot.pdf">Paper in PDF. Structural Properties and Classification of Kinematic and Dynamic Models of Wheeled Mobile Robots. </a></li><br/></ol><br/>PROBABILISTIC ROBOTICS. LOCALIZATION. PLANNING. MAPPING.<br/><h3><strong>Robot Localization and related topics. </strong></h3><br/><ol start="1"><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/paper-sensor-jrs97.pdf">Mobile robot positioning using sensor. In PDF. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/localization-monte-carlo.pdf">Paper in PDF about Monte Carlo localization for mobile robots. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/localization-comparison.pdf">Paper on Experimental Comparison of localization methods in PDF. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/localization-bayesian-kalman.pdf">Bayesian estimation and Kalman filtering: A Unified framework for Mobile Robot Localization. Paper in PDF. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/fingerprint.pdf">Fingerprint for mobile robot localization in PDF. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/http:/web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/Marov_localization_Burgard.pdf">Dynamic Markov localization approach, by Burgard, Derr, Fox and Cremers. Paper in PDF format. </a></li><br/></ol><br/><ul><br/> <li></li><br/> <li><span style="text-decoration: underline;"><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/%3Ch3%3E%20%3Cstrong%3E%20B.4.2.%20%20Robot%20Map%20Building%20and%20related%20topics.%20%3C/strong%3E%20%3C/h3%3E%3Col%3E%3CLI%3E%20%3Ca%20href%20=">· </a><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/S2006/1philipsthesis.pdf">Thesis by Philip Kedrowski about Self-building global maps for autonomous navigation. In PDF format. </a></span></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/%3Cli%3E%20%3Ca%20href=">Lecture from CMU about Mapping. Slides in PPT format. </a></li><br/></ul><br/><h3><strong>Robot Path Planning and related topics. </strong></h3><br/><ol><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/Planning-to-move.ppt">Planning-to-move.ppt </a>Navigation and Metric Path Planning.</li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/Lecture14.pdf">Lecture from CMU about Path planning for mobile robots. Slides in PDF format. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/cye_path_planning.pdf">Paper about path planning for a mobile robot. In PDF. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/learning.pdf">New Paradigm for robot learning. In PDF. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/obstable_avoidence_vector_field_histogram.pdf">Paper about fast obstable avoidence based on vector field histogram. In PDF. </a></li><br/></ol><br/>===============================================================<br/><br/><strong>STATIONARY ROBOTS. </strong><br/><h3><strong>1. Motion Planning for stationary robots. </strong></h3><br/><ol start="1"><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/lec004_MotionPlanning.pdf">Motion planning methods good for stationary robot with hands. In PDF. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/lec014_MotionPlanning.pdf">Motion Planning that may be applied to any kind of robots. PDF. </a></li><br/></ol><br/><strong>ROBOT SOCCER AND SIMILAR IMPROVISATIONS. </strong><br/><ol start="1"><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/lect2006/Lect.010.robot-soccer-competitions-vision.ppt">Robot soccer competitions. Introduction to Robot Vision. Slides in PPT. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/lect2006/Vision_Guided_Motion_v2.pdf">Vision Guided Motion. Slides in PDF. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/lect2006/Braubl-soccer-458_1.pdf">Robot Soccer. Birgit Graf, student of Prof. Braunl. Here you can learn about Robot Soccer and their vision system in full detail. In PDF format. </a></li><br/></ol><br/><strong>ADVANCED PRACTICAL ALGORITHMS. </strong><br/><h3><strong>Matrix Calculations </strong></h3><br/><ol start="1"><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/CS267_221001.ppt">Fast Parallel Algorithms for Matrix problems. Slides in PPT Format. </a></li><br/></ol><br/><strong>ROBOT COMPETITIONS, ROBOT TEAMS, AND ROBOT SOCIETIES. </strong><br/><ol start="1"><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/1461_AutonoumousDriving-V2006-Mar-02.pdf">Paper about autonomous driving mobile robot competitions. In PDF format. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/VP-TAB-Report-ICRA-2006-vweb.ppt">Technical Activities of RAS. Slides in PPT. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/problocation_MAS_fox.pdf">A Probabilistic Approach to Collaborative Multi-Robot Localization. Paper in PDF. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/mapandexplore_MAS_Grabowski.pdf">Heterogeneous Team of Modular Robots for Mapping and Exploration. Paper in PDF by Robert Grabowski. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/Lecture15.pdf">Lecture from CMU about coordination using search. In PDF format. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/Lecture19.pdf">Lecture from CMU about developing autonomy for robots in teams. Slides in PDF format </a>This has applications to robot soccer and robot theatre.</li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/Paper43_ICARA2004_249_253.pdf">Paper about robot colony for entertainment. In PDF. </a></li><br/></ol><br/><strong>VARIOUS ROBOTIC ARCHITECTURES. </strong><br/><h3><strong>Behavior Based Robotics and Biological Models. </strong></h3><br/><ol start="1"><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/2005_09_08_lecture2.ppt">Slides in PPT about behavior based robot design. We discussed several similar ideas in class. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/lec9robots.pdf">Robots and biological intelligence. PDF. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/presentationsafe2.ppt">From Sensory Substitution to Situated Robots. Slides in PPT. </a></li><br/></ol><br/><h3><strong>Emotional Robots. </strong></h3><br/><ol start="1"><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/Affective-Computing.ppt">Slides in PPT by Mark Brosnan about Affective computing. </a>This material related to class project about robot theatre.</li><br/></ol><br/><h3><strong>Evolutionary Robots. </strong></h3><br/><ol start="1"><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/gecco-2002-23.pdf">Posters about evolutionary robotics from gecco-2002-23.pdf </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/control2.pdf">Introduction to robot control. Slides in PDF. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/aniso_feature_detection.bmp">Example of a world for a robot. </a></li><br/></ol><br/><strong>WALKING ROBOTS. </strong><br/><h3><strong>Small walking robots, especially KHR-01. </strong></h3><br/><ol start="1"><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/lecture09.ppt">Slides on Kinematics and Animation of Humanoid Robots in PPT. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/lecture05.ppt">High Level Motion Control Slides in PPT. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/cs559-21.ppt">Modeling humanoid robots in computer graphics. Slides in PPT. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/ch9.ppt">Animation for computer graphics. Slides in PPT format. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/WS-CogArch05-David-Vernon.pdf">David Vernon. Inexpensive humanoid robot architectures. In PDF. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/AkDong_TDP.pdf">Paper about humanoid Robots. They also use KHR-01. In PDF format. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/CSOverview_Handout.ppt">Research in Humanoid robots from Brown University. In PPT format. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/HPSWWP_gecco2002.pdf">Random Morphology robot - Locomotion learning. One page, interesting and new. In PDF format. </a></li><br/></ol><br/><h3><strong>Gaits for Walking robots </strong></h3><br/><ol start="1"><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/WN_Mechatronics02.pdf">Gait evolution for biped robots using visual feedback. Paper in PDF. </a></li><br/> <li></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/Baltes%20et%20al.%20Design%20Walking%20gaits%20for%20small%20humanoid%20robot.%20In%20PDF%20format.%20%3C/a%3E%3CLI%3E%20%3Ca%20href%20=">Paper about Active Balancing using Gyroscopes for a Small Humanoid Robot. In PDF. </a></li><br/></ol><br/><strong>HUMAN-ROBOT AND HUMAN-COMPUTER INTERACTION. </strong><br/><ol start="1"><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/HARASHIMA_HCI.pdf">Prof. Fumio Harashima about State of the Art in Human-Computer Interaction. Much about robotics. Slides in PDF format. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/hri-lecture.pdf">Lectures about Human-Robot Interaction. Slides in PDF. </a></li><br/></ol><br/><strong>ADDITINAL SLIDES ABOUT ROBOT VISION </strong><br/><h3><strong>Servos for projects. </strong></h3><br/><ol start="1"><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/lect2006/Robotic_System_ServoCOntrol.ppt">Robotic System Servo Control. Presentation of Jeff Allen as a lecturer in class. Slides in PPT. </a></li><br/></ol><br/><h3><strong>Sensors </strong></h3><br/><ol start="1"><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/lect2006/Lect.002.Sensors-their-role-new-approchoaches-perception.ppt">Sensors and their role in new approaches to perception. Slides in PPT. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/lect2006/Lect.003.resistive-sensors-digital.ppt">Digital Resistive sensors. Slides in PPT. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/lect2006/Lect.004.resistive-sensors-analog.ppt">Analog Resistive sensors. Slides in PPT. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/lect2006/Lect.005.sensor-overview.ppt">Overview of sensors. Slides in PPT. </a></li><br/></ol><br/><h3><strong>Cameras and Visual Servoing </strong></h3><br/><ol start="1"><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/lect2006/Lect.VIS_006.cameras-visual-servoing.ppt">Cameras. Visual Servoing. Slides in PPT. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/S2006/thomson02__mobil_robot_path_track_using_visual_servoin.pdf">Visual Servoing for a mobile robot. Paper in PDF. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/S2006/zhang_camera_calibration.pdf">Paper by Zhang on camera calibration in PDF. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/S2006/Tsai_camera_calibration.pdf">Camera Calibration for 3D vision. In PDF. </a></li><br/></ol><br/><strong>BASIC ROBOT VISION. </strong><br/><br/> <br/><ol start="1"><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/lect2006/Lect.VIS_007.edge-detection-feature-extraction.ppt">Edge detection and feature extraction algorithms. Slides in PPT. </a></li><br/></ol><br/><ol start="1"><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/lect2006/Lect.VIS_009.labeling-and-sequential-algorithms.ppt">Labeling and sequential algorithms. Slides in PPT. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/lect2006/Lect.VIS_010.Histogramming-soccer-vision.ppt">Histogramming. Soccer robot vision. Slides in PPT. </a></li><br/></ol><br/><ol start="1"><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/lect2006/Lect.VIS_011.Walsh-transform-and-butterflies.ppt">Walsh Transforms and butterflies. Slides in PPT. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/lect2006/Lect.VIS_012.Walsh-Matrix.ppt">Walsh Matrix. Slides in PPT. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/lect2006/Lect.VIS_013.spectral-transforms-and-Image-Processing-software.ppt">Spectral Transforms and Image Processing software. Slides in PPT. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/lect2006/Lect.VIS_015.Walsh-Fourier.ppt">Walsh and Fourier Transforms. Butterflies. Fast algorithms and their properties. Use of spectral methods in robot vision. Slides in PPT. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/lect2006/Lect.VIS_016.Hough_transform.ppt">Hough Transforms. Slides in PPT. </a></li><br/></ol><br/><h3><strong>Hough Transforms and Quad Trees </strong></h3><br/><ol start="1"><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/lect2006/Lec.VIS_017.HT_applic_mobile_robot_for_corridor%20navigation.ppt">Hough Transform application in a mobile robot for corridor navigation. Slides in PPT. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/lect2006/Lect.VIS_028.quad-tree-and-octtree.ppt">Quad trees and Oct-trees. Slides in PPT. </a></li><br/></ol><br/><h3><strong>Thinning Algorithms </strong></h3><br/><ol start="1"><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/lect2006/Lect.VIS_029.Thinning.ppt">Thinning algorithms. Slides in PPT. </a></li><br/></ol><br/><h3><strong>Vision for Robot Localization </strong></h3><br/><ol start="1"><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/S2006/vision-localization-ulrich.pdf">Vision for robot localization by Ulrich. Paper in PDF. </a></li><br/></ol><br/><h3><strong>Region Segmentation </strong></h3><br/><ol start="1"><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/S2006/13-region.pdf">Region Segmentation. Slides in PDF format. </a></li><br/></ol><br/><h3><strong>Wavelets </strong></h3><br/><ol start="1"><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/S2006/vo05_10%5b1%5d.pdf">Slides in PDF about wavelets. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/S2006/SNU-2.ppt">Beyond wavelets and JPEG 2000. Slides in PPT format. </a></li><br/></ol><br/><h3><strong>Tracking. </strong></h3><br/><ol start="1"><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/S2006/Lecture-Tracking.pdf">Lecture about Tracking Devices for humans, for instance built into glasses. In PDF format. </a></li><br/></ol><br/> <br/><br/><strong>MATLAB AND MATLAB IN ROBOT VISION. </strong><br/><ol start="1"><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/MATLAB/matlab1.pdf">matlab1.pdf </a>Lectures on Matlab. Lecture 1. Introduction to Matlab.</li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/MATLAB/matlab2.pdf">matlab2.pdf </a>Lectures on Matlab. Lecture 2. More Matlab Programming.</li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/MATLAB/matlab3.pdf">matlab3.pdf </a>Lectures on Matlab. Lecture 3. Finishing with Matlab.</li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/MATLAB/matlab4.pdf">matlab4.pdf </a>Lectures on Matlab. Lecture 4. Finishing with Matlab.</li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/MATLAB/4413-lecture-09.pdf">Lecture on Introduction and Control Basic to Matlab. In PDF. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/MATLAB/4413-lecture-09.ppt">The same lecture in PPT. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/MATLAB/628.pdf">Matlab Primer in PDF. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/MATLAB/L1_10-20-2003.ppt">Introduction to Matlab in PPT. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/MATLAB/Lecture22AMATLABPlotting06.ppt">Matlab two-dimensional plots in PPT. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/MATLAB/Lecture_19_MATLAB_Script&FunctionFiles06.ppt">Matlab Script and Function files in PPT. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/MATLAB/engg1801_2005_lect2.ppt">Simple Programming in Matlab in PPT. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_410AER/MATLAB/engg1801_2005_lect7_with_functions.ppt">Solution of non-linear algebraic equations in Matlab. PPT format. </a></li><br/></ol>Engineeringppthttp://www.blogger.com/profile/06590183128732553253noreply@blogger.com0tag:blogger.com,1999:blog-5559290073655157043.post-11427116145727236242012-09-12T04:20:00.000-07:002012-10-13T22:22:35.459-07:00Robot vision and Preception PPT SLIDES<img 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" alt="" width="233" height="215" />Robot vision and Preception<br/><strong>Instructor:</strong> Marke A. Perkowski<br/><strong>Textbook:</strong> Active Preception and Robot vision<br/><span style="text-decoration: underline;"><strong>Download Slides from here</strong></span><br/><ol><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/lectures_2012_479/2011.%200001.%20A._Introduction_to_Morphological_Operators.ppt"> Introduction to Morphological Operators. In PPT format. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/lectures_2012_479/2011.%200002.%20A.%20Mathematics_of_Binary%20Morphology.ppt"> Mathematics of Binary Morphology. ppt </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/lectures_2012_479/2011.%200002_A.%20Binary%20Morphology%20and%20Use%20%20in%20Robotic%20Path%20Planning.ppt"> _A. Binary Morphology and Use in Robotic Path Planning. ppt </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/lectures_2012_479/2011.%200003.A.%20Big%20Example.ppt"> A. Big Example of morpology and measurements on image. ppt </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/lectures_2012_479/2011.%200004.%20INTRO-edge-detection-feature-extraction.ppt"> Introduction to edge detection feature extraction. ppt </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/lectures_2012_479/2011.%200005.%20labeling-and-sequential-algorithms.Soccer.ppt"> Labeling and sequential algorithms. Robot Soccer. ppt </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/lectures_2012_479/2011.%200006.%200-PPVIS_003.quad-tree-and-octtree.ppt"> Quad Trees and Octtrees. ppt </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/lectures_2012_479/2011.%200007.%200-PPVIS_004.PARTITIONING_THRESHOLDING.ppt"> Partitioning and Thresholding. ppt </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/lectures_2012_479/2011.%200008.%200-PPVIS_005.%20ShapeRepresentation1.ppt"> . Shape Representation1. ppt </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/lectures_2012_479/2011.%200009.%200-PPVIS_005A.%20Melanoma_Cancer.ppt"> Image Processing for Melanoma Cancer. ppt </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/lectures_2012_479/2011.%200010.%200-PPVIS_006.%20Histogramming-socccer-vision.ppt"> Histogramming socccer vision. ppt </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/lectures_2012_479/2011.%200011.%200-PPVIS_007-Matlab-Image%20Proc.1.ppt"> Matlab Image Processing. ppt </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/lectures_2012_479/2011.%200012.%200-PPVIS_008%20Intro%20color.ppt"> Introduction to color image processing. ppt </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/lectures_2012_479/2011.%200014.%200-PPVIS_009.%20-Matlab%20Image%20Examples%20color%20Proc-2.ppt"> Matlab Image Examples with color processing. ppt </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/lectures_2012_479/2011.%200015.%200-PPVIS_010-matlab%20hit%20and%20miss%20binary.ppt"> Matlab hit and miss binary. ppt </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/lectures_2012_479/2011.%200020.%20PVIS_021_Edg-%20Detection-Canny1.pptx"> Edge Detection Algorithm by Canny. pptx </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/lectures_2012_479/2011.%200021.%20PVIS_021_edge-detection-Sobel.ppt"> Edge Detection with Sobel Algorithm. ppt </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/lectures_2012_479/2011.%200022.%20PVIS_022_edge_enhancement.ppt"> Edge Enhancement. ppt </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/lectures_2012_479/2011.%200024.%20Convolution-low-pass-filtering.ppt"> Convolution low pass filtering. ppt </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/lectures_2012_479/2011.%201001.%20B.%20Introduction%20to%20Fourier%20Transform,%201D%20continuous.pptx"> B. Introduction to Fourier Transform, 1D continuous. pptx </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/lectures_2012_479/2011.%201001.%20C.%20Sampling%20and%20frequencies.ppt"> C. Sampling and frequencies. ppt </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/lectures_2012_479/2011.%201002.%20A.%20%20Continuous%20Fourier%20Transform%20Notations%20and%20theorems.pptx"> A. Continuous Fourier Transform Notations and theorems. pptx </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/lectures_2012_479/2011.%201002.%20B.%20Sampling%20Fourier.ppt"> . B. Sampling Fourier Transform. ppt </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/lectures_2012_479/2011.%201003.%20B.%20Shift-Invariant-Linear-Systems.ppt"> B. Shift Invariant Linear Systems. ppt </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/lectures_2012_479/2011.%201004.%20A.%20Orthogonal,%20Separable%20and%20Fourier-Math.ppt"> A. Orthogonal, Separable and Fourier Mathematics. ppt </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/lectures_2012_479/2011.%201006.%202D%20spectral-transforms%20examples.ppt"> 2D spectral transforms. Examples. ppt </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/lectures_2012_479/2011.%201007.%20Combination%20of%20Classifiers%20for%20Indoor%20Room%20Recognition.pptx"> Combination of Classifiers for Indoor Room Recognition. pptx </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/lectures_2012_479/2011.%201008.%20Introduction%20to%20Generalized%20Hough%20Transform.ppt"> Introduction to Generalized Hough Transform.ppt </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/lectures_2012_479/2011.%201009%20Generalized%20Hough%201.ppt"> Generalized Hough Transform. 1. ppt </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/lectures_2012_479/2011.%201009.%20Generalized%20Hough%20Transform%202.ppt"> A. Generalized Hough Transform 2. ppt </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/lectures_2012_479/2011.%201010.%20RADON_TRANSFORM_Easy_principles.ppt"> Radon Transform. Easy principles. ppt </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/lectures_2012_479/2011.%201011.%20medical%20imaging%20-%20acquisition%20and%20Radon%20Transform.ppt"> Medical Imaging - acquisition and Radon Transform. ppt </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/lectures_2012_479/2011_ALL_005_biometry-and-terrorists.pdf"> Biometry and terrorists. pdf </a></li><br/></ol>Engineeringppthttp://www.blogger.com/profile/06590183128732553253noreply@blogger.com0tag:blogger.com,1999:blog-5559290073655157043.post-13212390164405333592012-09-12T04:09:00.000-07:002012-10-13T22:22:35.461-07:00Introduction to Evlutionary Robotics PPT and SLIDES<img 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" alt="" width="189" height="179" />Introduction to Evlutionary Robotics<br/><strong>Instructor:</strong> Marek A.Perkowski<br/><strong>Textbook:</strong> Evlutionary Robotics<br/><span style="text-decoration: underline;"><strong>Download Slides from here</strong></span><br/><br/><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/2011.0001.Intro_Intelligent_Robots_dialog.ppt">Introduction to class. Mapping architectures. Finite State Machines. Probabilistic State Machines for robot dialogs. Implementation of natural language interface.</a><br/><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/2011-0002.GeneticProgramming.ppt"> Introduction to Genetic Algorithm and Genetic Programming for robotic applications </a><br/><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/2011.ALL_LECTURES/2011-0006.Advanced-Evolutionary.ppt"> Advanced Evolutionary. ppt </a><br/><ol><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/2011.ALL_LECTURES/2011.0001.Intro_Intelligent_Robots_dialog.ppt"> Version of slides with more information on constructive induction for learning and dialogs. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/2011.ALL_LECTURES/2011-0020.Intro%20Intelligent%20Robots%20dialog.ppt"> One more version with more details for projects. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/to-chip-oct/2007.0001Week1-EmbeddedSystems.ppt"> Embedded Systems. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/to-chip-oct/20007.0002.week1-Types-of-Robots.ppt"> Types of robots </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/to-chip-oct/Fall-2007Week1-Actuators.ppt"> Actuators.</a></li><br/></ol><br/>more slides on evolutionary algorithms<br/><ol><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/CLASS_ROBOTICS/FEBR-19/022.emergent.ppt"> Emergent approach. </a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/CLASS_479/LECTURES479/EVO01.PDF"> Fundamentals of evolutionary methods. </a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/CLASS_479/LECTURES479/EVO02.PDF">Genetic Programming, Evolutionary Strategies, Evolutionary Design. Fogel, state machines.</a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/CLASS_479/LECTURES479/EVO-03.PDF">Genetic Programming. </a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/CLASS_479/LECTURES479/PE015.extrinsicEvHw.pdf">Extrinsic Evolvable Hardware.</a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/CLASS_479/LECTURES479/PE016.intrinsicEvHw.pdf">Intrinsic Evolvable Hardware. </a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/CLASS_479/LECTURES479/EVO04.PDF">Evolutionary Methods in Design. Art. Lego bridges of Pollack.</a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/CLASS_479/LECTURES479/EV005.PDF">Levi. HereBoy Algorithm. Multi-Mutation. Relation to Simulated Annealing</a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/CLASS_479/LECTURES479/EV006.PDF">Vasiliev and Miller. Array Genetic Algorithm for Multiplier Design.</a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/CLASS_479/LECTURES479/PE010.embriology.pdf">Approach to evolvable learning and self-repair based on embriology ideas. Switzerland</a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/CLASS_479/LECTURES479/010.evolving-game-strategies.pdf">Evolving game strategies</a></li><br/></ol><br/>Robot examples<br/><ol><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/SUMMER/l/robot%20examples.pptx"> Robot Examples. My requirement is: the robot should have 2 hands, head and torso and should be a mobile robot. </a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/SUMMER/l/X000.%20Tetrix_Short_Promo.wmv"> X000. Tetrix_Short_Promo.wmv </a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/SUMMER/l/X001.%20Intro%20-%20Lego%20NXT,%20Tetrix,%20ROBOTC%20and%20Motors.ppt"> X001. Intro - Lego NXT, Tetrix, ROBOTC and Motors.ppt </a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/SUMMER/l/X002.%20Simple%20programming%20%20in%20ROBOTC.ppt"> X002. Simple programming in ROBOTC.ppt </a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/SUMMER/l/X003.%20Tetrix%20Mechanical%20Design.pptx"> X003. Tetrix Mechanical Design.pptx </a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/SUMMER/l/X003A.%20Tetrix%20Robot%20Mechanical%20Examples.pptx"> X003A. Tetrix Robot Mechanical Examples.pptx </a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/SUMMER/l/X004.%20%20Robot%20C%20complete%20example%20-%20robot_head_1.pdf"> X004. Robot C complete example - robot_head_1.pdf </a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/SUMMER/l/X004A.%20Smarter%20BV.ppt"> X004A. Smarter BV.ppt </a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/SUMMER/l/X005.%20Lego%20NXT%20complete%20example%20with%20NXC.pptx"> X005. Lego NXT complete example with NXC.pptx </a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/SUMMER/l/X006.%20Projects%20with%20simple%20mobile%20robots.ppt"> X006. Projects with simple mobile robots.ppt </a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/SUMMER/l/X007.%20Simple%20Sensors%20in%20ROBOTC.ppt"> X007. Simple Sensors in ROBOTC.ppt </a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/SUMMER/l/X008.%20IR%20sensors%20and%20Encoders.%20LCDs.ppt"> X008. IR sensors and Encoders. LCDs.ppt</a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/SUMMER/l/X009.%20Accelerometers%20and%20Gyros.ppt"> X009. Accelerometers and Gyros.ppt </a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/SUMMER/l/X011.%20Behavior%20based%20robots%20and%20architectures.ppt"> X011. Behavior based robots and architectures.ppt </a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/SUMMER/l/X012.%20Affective-Computing.ppt"> X012. Affective-Computing.ppt </a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/SUMMER/l/X013.%20More%20advanced%20Projects.ppt"> X013. More advanced Projects.ppt</a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/SUMMER/l/X016.%20NQC%20Programming.ppt"> X016. NQC Programming.ppt </a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/SUMMER/l/X017.%20NXC%20Programming.ppt"> X017. NXC Programming.ppt </a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/SUMMER/l/Presentation1.ppt"> Example of software in RobotC. </a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/SUMMER/l/FlagBot.doc"> Flagbot project </a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/SUMMER/l/How%20to%20Design%20a%20Robot.ppt"> How to Design a Robot.ppt </a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/SUMMER/l/X000.%20Intro.pptx"> Class with robot project. A robot connected to quantum computer. </a></li><br/></ol>Engineeringppthttp://www.blogger.com/profile/06590183128732553253noreply@blogger.com0tag:blogger.com,1999:blog-5559290073655157043.post-54833667655134345382012-09-12T03:40:00.000-07:002012-10-13T22:22:35.463-07:00Computers and Robots to Aid Societies and Humans PPT LECTURE SLIDESComputers and Robots to Aid Societies and Humans<br/>Instructor: Marek Perkowski<br/>Textbook:<br/>Download Slides from here<br/><br/><strong> PSUBOT - AN INTELLIGENT WHEELCHAIR. </strong><br/><ol start="1"><br/> <li>Paper slides. Choi Jung-Yi presenter. Paper by E. Pressler, J. Scholz and P. Friorini, ``A robotic wheelchair for crowded public environments''. Hardware design. Control architecture. Tactical level. Strategic level. Motion detection and tracking. Motion planning. Velocity obstacle.<br/><a href="http://www.ee.pdx.edu/%7Emperkows/Rehabilitation_Robots/robotic-wheelchair.ppt">robotic-wheelchair.ppt </a></li><br/> <li>Paper slides by Jeong-Su Han. A paper by G. Bourhis et al, ``An Autonomous Vehicle for People with Motor Disabilities.''<br/><a href="http://www.ee.pdx.edu/%7Emperkows/Rehabilitation_Robots/wheelchair-control.ppt">wheelchair-control.ppt </a></li><br/> <li>Paper slides by Woo Hyun Soo. Paper by Holly A. Yanco on ``Wheelesley: A Robotic Wheelchair System: Indoor Navigation and User Interface.''<br/><a href="http://www.ee.pdx.edu/%7Emperkows/Rehabilitation_Robots/wheelchair-navigation-and-interface.ppt">wheelchair-navigation-and-interface.ppt </a></li><br/> <li>Paper on Legged Wheelchair Mobility as a research issue.<br/><a href="http://www.ee.pdx.edu/%7Emperkows/Rehabilitation_Robots/wheelchair-paper.pdf">wheelchair-paper.pdf </a></li><br/> <li>Paper slides by Y. Ming. Paper by M. Mazo et al on ``An Integrated System for Assisted Mobility.''<br/><a href="http://www.ee.pdx.edu/%7Emperkows/Rehabilitation_Robots/wheelchair.ppt">wheelchair.ppt </a></li><br/> <li>Grant about disability. PSU. <a href="http://www.ee.pdx.edu/%7Emperkows/Rehabilitation_Robots/Disability.txt">Disability.txt </a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/CLASS_572_99/Abstracts.pdf">Research Abstracts. </a></li><br/> <li>Paper slides. Lee Hyong Euk. Guidance System for a Powered Wheelchair. Approach. Kalman filters. Experimental results.<br/><a href="http://www.ee.pdx.edu/%7Emperkows/Rehabilitation_Robots/guidance-for-wheelchair.ppt">guidance-for-wheelchair.ppt </a></li><br/></ol><br/><strong> SMART HOMES, SWEET HOMES, NURSING AND ELDERLY. </strong><br/><ol start="1"><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/CLASS_479/SUBMIT/smart-home-1.ppt">University of Bradford. Progression Towards the Intelligent Home. Slides in PPT format. </a></li><br/> <li><a href="http://www.ee.pdx.edu/%7Emperkows/CLASS_479/SUBMIT/smart-home2.ppt">Reinder Bakker. Assistive Technology. Environmental Control System. In PPT format. </a>Another set of slides about Smart Home.</li><br/> <li>Paper. Z.Z. Bien, K. Park, W. Bang, and D. H. Stefanov, ``LARES: An Intelligent Sweet Home for Assisting the Elderly and the Handicapped.'' From KAIST.<br/><a href="http://www.ee.pdx.edu/%7Emperkows/Rehabilitation_Robots/lares.pdf">lares.pdf</a></li><br/> <li>Paper slides by Kim Min-Jung. Presenting paper by A. Lankenau and T. Rofer on ``A Versatile and Safe Mobility assistant''.<br/><a href="http://www.ee.pdx.edu/%7Emperkows/Rehabilitation_Robots/mobility-assistant.ppt">mobility-assistant.ppt </a></li><br/> <li>Paper by Hyun Keun Park et al on ``A Nursing Robot System for the Elderly and the Disabled.'' from KAIST.<br/><a href="http://www.ee.pdx.edu/%7Emperkows/Rehabilitation_Robots/nursing-robot.pdf">nursing-robot.pdf </a></li><br/></ol><br/><strong>MUSCLES, ELECTRODES AND REHABILITATION ROBOTS. </strong><br/><ol start="1"><br/> <li>Stefanov. Muscles. Mechanical work, energy and power. Positive and negative work of muscles.</li><br/></ol><br/><a href="http://www.ee.pdx.edu/%7Emperkows/Rehabilitation_Robots/lecture5.ppt">lecture5.ppt </a><br/><ol start="2"><br/> <li>Muscles continued. The muscle twitch. Muscle modeling. Electromyography. EMG electrodes.</li><br/></ol><br/><a href="http://www.ee.pdx.edu/%7Emperkows/Rehabilitation_Robots/lecture6.ppt">lecture6.ppt </a><br/><ol start="3"><br/> <li>Electrodes continued. Polarization of electrodes. EMG amplifiers. Input impedance. Frequency bandwidth.</li><br/></ol><br/><a href="http://www.ee.pdx.edu/%7Emperkows/Rehabilitation_Robots/lecture7.ppt">lecture7.ppt </a><br/><ol start="4"><br/> <li>Electrodes continued. Biopotential and other amplifiers. ECG. Surface Electromyography. Systems to sense biological parameters. ECG monitoring.<br/><a href="http://www.ee.pdx.edu/%7Emperkows/Rehabilitation_Robots/lecture8.ppt">lecture8.ppt </a></li><br/></ol><br/><strong> INTELLIGENT PROSTHESES. </strong><br/><ol start="5"><br/> <li>Electrodes and prostheses. Prosthetics and orthotics.<br/><a href="http://www.ee.pdx.edu/%7Emperkows/Rehabilitation_Robots/lecture9.ppt">lecture9.ppt </a></li><br/> <li>Lower extremity prostheses. Below-the-knee prostheses. Above-the-knee prostheses. Intelligent prostheses. Lower-extremity orthoses.<br/><a href="http://www.ee.pdx.edu/%7Emperkows/Rehabilitation_Robots/lecture10.ppt">lecture10.ppt </a></li><br/> <li>Upper-extremity prostheses. Tomovic's Prosthetic Hand. Stanford/JPL hand. Utah/MIT hand. DRL Hand. Otto Bock's Sensor Hand. Elbow Prosthesis.<br/><a href="http://www.ee.pdx.edu/%7Emperkows/Rehabilitation_Robots/lecture11.ppt">lecture11.ppt </a></li><br/> <li>Adaptive terminal devices. Prodigits. The Southampton Adaptive Hand. Myolectric Controlled UEP. Electric Elbows. Myoelectric Hand Orthosis.<br/><a href="http://www.ee.pdx.edu/%7Emperkows/Rehabilitation_Robots/lecture12.ppt">lecture12.ppt </a></li><br/></ol><br/><strong>CONTROL OF PROSTHESES. </strong><br/><ol start="9"><br/> <li>Feedback in prosthesis control. Prostheses controlled by myoelectric signals (MES). Analog proportional control. Programmable myoelectric control. MyoMicro System. Control Modes. Multifunction Myoelectric Control System. Pattern Recognition.<br/><a href="http://www.ee.pdx.edu/%7Emperkows/Rehabilitation_Robots/lecture13-14.ppt">lecture13-14.ppt </a></li><br/> <li>NTU Prosthetic Hand. EMG signal processing. Rutgers University Hand. A Microprocessor based Multi-Function Myoelectric Control Syste</li><br/></ol><br/><a href="http://www.ee.pdx.edu/%7Emperkows/Rehabilitation_Robots/lecture15.ppt">lecture15.ppt </a><br/><br/><strong>FUNCTIONAL NEURAL SIMULATION. </strong><br/><ol start="11"><br/> <li>Functional Neural Simulation for Movement Restoration (FNS<br/><a href="http://www.ee.pdx.edu/%7Emperkows/Rehabilitation_Robots/lecture16.ppt">lecture16.ppt </a></li><br/> <li>Functional Neural Simulation for Movement Restoration (FNS). Upper Extremity FES. Review of FES systems. Bionic Glove. Restoration of standing and walking. Implantable standing FES systems. Hybrid assistive systems.<br/><a href="http://www.ee.pdx.edu/%7Emperkows/Rehabilitation_Robots/lecture17.ppt">lecture17.ppt </a></li><br/></ol><br/><strong>WHEELCHAIRS. </strong><br/><ol start="13"><br/> <li>Wheelchairs and personal transportation. Categories of wheelchairs. Patient-transfer systems. Frame design. Center of Gravity. Wheels and casters.<br/><a href="http://www.ee.pdx.edu/%7Emperkows/Rehabilitation_Robots/lecture18.ppt">lecture18.ppt </a></li><br/> <li>Powered Wheelchairs. Scooters. Schematics. Motors and Servo-Controllers. Full Bridge circuit.<br/><a href="http://www.ee.pdx.edu/%7Emperkows/Rehabilitation_Robots/lecture19.ppt">lecture19.ppt </a></li><br/> <li>Wheelchairs. Microprocessor control of wheelchairs. Torque loss. Interfaces. Speed control. Control modes and examples.<br/><a href="http://www.ee.pdx.edu/%7Emperkows/Rehabilitation_Robots/lecture20.ppt">lecture20.ppt </a></li><br/> <li>Wheelchairs cont. Sensor-based control systems. Pre-conditioning. Control strategies. Examples of external sensors. Electromagnetic compatibility of powered wheelchairs. User interfaces. Interesting wheelchair construction examples.<br/><a href="http://www.ee.pdx.edu/%7Emperkows/Rehabilitation_Robots/lecture21.ppt">lecture21.ppt </a></li><br/> <li>Go-to-goal wheelchairs. Non-holonomic kinematics. Comparison of non-holonomic and holonomic kinematics. Kinematic equations of motion. Dead reckoning. Differential steering.<br/><a href="http://www.ee.pdx.edu/%7Emperkows/Rehabilitation_Robots/lecture22.ppt">lecture22.ppt </a></li><br/> <li>Wheelchair kinematics. Rolling wheels. Position estimation. Ackerman steering. Synchro Drive. Mecanum Wheel. Tricycle. Omni-directional drives. Beacon-based localization. Triangularization methods.<br/><a href="http://www.ee.pdx.edu/%7Emperkows/Rehabilitation_Robots/lecture23.ppt">lecture23.ppt </a></li><br/> <li>Omni-directional wheelchairs. Stanford wheel. Mecanum wheel. Omni-directional wheelchair examples. The Vuton. Rollmobs. Omni-directional mechanisms. Stair-climbing, walking and shape-changing wheelchairs.<br/><a href="http://www.ee.pdx.edu/%7Emperkows/Rehabilitation_Robots/lecture24.ppt">lecture24.ppt </a></li><br/> <li>Autonomous Guided Wheelchairs. TAO-1 Intelligent Wheelchair. TinMan Intelligent Wheelchair Controller. Wheelesley system. NavChair. NavBelt. Guide Cane. Drive Assistant. Senario.<br/><a href="http://www.ee.pdx.edu/%7Emperkows/Rehabilitation_Robots/lecture25.ppt">lecture25.ppt </a></li><br/> <li>Homeworks.<br/><a href="http://www.ee.pdx.edu/%7Emperkows/Rehabilitation_Robots/homeworks.ppt">homeworks.ppt </a></li><br/></ol><br/><strong> FUZZY LOGIC. </strong><br/><ol start="22"><br/> <li>Paper slides. S. Fioretti, T. Leo, S. Longhi. Use of Fuzzy Logic!! ``A Navigation System for Increasing the Autonomy and the Security of a Powered<br/><a href="http://www.ee.pdx.edu/%7Emperkows/Rehabilitation_Robots/Fuzzy-Wheelchair-Navigation.ppt">Fuzzy-Wheelchair-Navigation.ppt </a></li><br/></ol><br/><strong> ASSISTIVE TECHNOLOGIES. </strong><br/><ol start="23"><br/> <li>Paper. Masao Saito. Expanding Welfare Concept and Assistive Technology.<br/><a href="http://www.ee.pdx.edu/%7Emperkows/Rehabilitation_Robots/Saito-paper.pdf">Saito-paper.pdf </a></li><br/> <li>Paper. B. Allen, Bus Systems in Three Tiered World Experience from the ICAN Project. (integrating various assistive technologies).<br/><a href="http://www.ee.pdx.edu/%7Emperkows/Rehabilitation_Robots/Allen_paper.pdf">Allen paper. pdf </a></li><br/></ol><br/><strong> HUMAN MOTION ANALYSIS. </strong><br/><ol start="25"><br/> <li>Paper. G. Ferrigno, N.A. Borghese, A. Pedotti, ``Pattern Recognition in 3D automatic human motion analysis.''<br/><a href="http://www.ee.pdx.edu/%7Emperkows/Rehabilitation_Robots/Ferrigno_paper.pdf">Ferrigno_paper.pdf </a></li><br/></ol><br/><strong> PARAPLEGICS. </strong><br/><ol start="1"><br/> <li>Paper by Minzly et al, ``Computer-Controlled portable simulator for paraplegic patients.''<br/><a href="http://www.ee.pdx.edu/%7Emperkows/Rehabilitation_Robots/Minzly_paper.pdf">Minzly_paper.pdf </a></li><br/></ol>Engineeringppthttp://www.blogger.com/profile/06590183128732553253noreply@blogger.com0tag:blogger.com,1999:blog-5559290073655157043.post-36058286425548445542012-09-12T00:11:00.000-07:002012-10-13T22:22:35.462-07:00Walking Robots PPT and PDF SLIDES<img 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" alt="" width="224" height="197" />Walking Robots<br/><strong>Instructor:</strong> Marek Perkowski<br/><strong>Textbook</strong>: Climbing and walking robots<br/><span style="text-decoration: underline;"><strong>Download Slides from here</strong></span><br/><ol><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/lecture09.ppt"> Slides on Kinematics and Animation of Humanoid Robots in PPT. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/lecture05.ppt"> High Level Motion Control Slides in PPT. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/cs559-21.ppt"> Modeling humanoid robots in computer graphics. Slides in PPT. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/ch9.ppt"> Animation for computer graphics. Slides in PPT format. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/WS-CogArch05-David-Vernon.pdf"> David Vernon. Inexpensive humanoid robot architectures. In PDF. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/WN_Mechatronics02.pdf"> Gait evolution for biped robots using visual feedback. Paper in PDF. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/baltes04__desig_walkin_gaits_tao_pie.pdf"> Baltes et al. Design Walking gaits for small humanoid robot. In PDF format. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/Paper82_ICARA2004_470_475.pdf"> Paper about Active Balancing using Gyroscopes for a Small Humanoid Robot. In PDF. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/AkDong_TDP.pdf"> Paper about humanoid Robots. They also use KHR-01. In PDF format. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/CSOverview_Handout.ppt"> Research in Humanoid robots from Brown University. In PPT format. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/HPSWWP_gecco2002.pdf"> Random Morphology robot - Locomotion learning. One page, interesting and new. In PDF format. </a></li><br/></ol>Engineeringppthttp://www.blogger.com/profile/06590183128732553253noreply@blogger.com0tag:blogger.com,1999:blog-5559290073655157043.post-85435424765381852862012-09-12T00:02:00.000-07:002012-10-13T22:22:35.465-07:00Robot Navigation PDF SLIDES<img 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" alt="" width="153" height="209" />Robot Navigation<br/><strong>Instructor</strong>: Marek Perkowski<br/><strong>Textbook:</strong> Advances In Robot navigation<br/><span style="text-decoration: underline;"><strong>Download Slides from here</strong></span><br/><ol><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/paper-sensor-jrs97.pdf"> Mobile robot positioning using sensor. In PDF. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/localization-monte-carlo.pdf"> Paper in PDF about Monte Carlo localization for mobile robots. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/localization-comparison.pdf"> Paper on Experimental Comparison of localization methods in PDF. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/localization-bayesian-kalman.pdf"> Bayesian estimation and Kalman filtering: A Unified framework for Mobile Robot Localization. Paper in PDF. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/Planning-to-move.ppt"> Planning-to-move.ppt </a> Navigation and Metric Path Planning.</li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/1philipsthesis.pdf"> Thesis by Philip Kedrowski about Self-building global maps for autonomous navigation. In PDF format. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/Lecture14.pdf"> Lecture from CMU about Path planning for mobile robots. Slides in PDF format. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/Lecture8_Mapping.ppt"> Lecture from CMU about Mapping. Slides in PPT format. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/obstable_avoidence_vector_field_histogram.pdf"> Paper about fast obstable avoidence based on vector field histogram. In PDF. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/Marov_localization_Burgard.pdf"> Dynamic Markov localization approach, by Burgard, Derr, Fox and Cremers. Paper in PDF format. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/cye_path_planning.pdf"> Paper about path planning for a mobile robot. In PDF. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/fingerprint.pdf"> Fingerprint for mobile robot localization in PDF. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/gecco-2002-23.pdf"> Posters about evolutionary robotics from </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/control2.pdf"> Introduction to robot control. Slides in PDF. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/aniso_feature_detection.bmp"> Example of a world for a robot. </a></li><br/></ol>Engineeringppthttp://www.blogger.com/profile/06590183128732553253noreply@blogger.com0tag:blogger.com,1999:blog-5559290073655157043.post-90142085597192174382012-09-11T23:52:00.000-07:002012-10-13T22:22:35.467-07:00Robot Vision PPT and PDF SLIDESRobot Vision<br/><strong>Instructor:</strong> Marek Perkowski<br/><strong>Textbook:</strong> Robot Vision<br/><span style="text-decoration: underline;"><strong>Download Slides from here</strong></span><br/><ol><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/vision-localization-ulrich.pdf"> Vision for robot localization by Ulrich. Paper in PDF. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/thomson02__mobil_robot_path_track_using_visual_servoin.pdf"> Visual Servoing for a mobile robot. Paper in PDF. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/zhang_camera_calibration.pdf"> Paper by Zhang on camera calibration in PDF. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/13-region.pdf"> Region Segmentation. Slides in PDF format. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/CS267_221001.ppt"> Fast Parallel Algorithms for Matrix problems. Slides in PPT Format. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/SNU-2.ppt"> Beyond wavelets and JPEG 2000. Slides in PPT format. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/Tsai_camera_calibration.pdf"> Camera Calibration for 3D vision. In PDF. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/vo05_10[1].pdf"> Slides in PDF about wavelets. </a></li><br/></ol>Engineeringppthttp://www.blogger.com/profile/06590183128732553253noreply@blogger.com0tag:blogger.com,1999:blog-5559290073655157043.post-66372264632147659772012-09-11T23:44:00.000-07:002012-10-13T22:22:50.531-07:00Introductoin to Matlab PPT and PDF LECTURE SLIDES<img 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" alt="" width="197" height="183" />Introduction to Matlab<br/><strong>Instructor:</strong> Marek Perkowski<br/><strong>Textbook</strong>:Matlab An Introduction With Applications<br/><span style="text-decoration: underline;"><strong>Download Slides from here</strong></span><br/><ol><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/MATLAB/matlab1.pdf"> matlab1.pdf </a> Lectures on Matlab. Lecture 1. Introduction to Matlab.</li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/MATLAB/matlab2.pdf"> matlab2.pdf </a> Lectures on Matlab. Lecture 2. More Matlab Programming.</li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/MATLAB/matlab3.pdf"> matlab3.pdf </a> Lectures on Matlab. Lecture 3. Finishing with Matlab.</li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/MATLAB/matlab4.pdf"> matlab4.pdf </a> Lectures on Matlab. Lecture 4. Finishing with Matlab.</li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/MATLAB/4413-lecture-09.pdf"> Lecture on Introduction and Control Basic to Matlab. In PDF. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/MATLAB/4413-lecture-09.ppt"> The same lecture in PPT. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/MATLAB/628.pdf"> Matlab Primer in PDF. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/MATLAB/L1_10-20-2003.ppt"> Introduction to Matlab in PPT. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/MATLAB/Lecture22AMATLABPlotting06.ppt"> Matlab two-dimensional plots in PPT. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/MATLAB/Lecture_19_MATLAB_Script&FunctionFiles06.ppt"> Matlab Script and Function files in PPT. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/MATLAB/engg1801_2005_lect2.ppt"> Simple Programming in Matlab in PPT. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/MATLAB/engg1801_2005_lect7_with_functions.ppt"> Solution of non-linear algebraic equations in Matlab. PPT format. </a></li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/F2D.mat"> F2D.mat </a> Matlab.</li><br/> <li><a href="http://web.cecs.pdx.edu/%7Emperkows/CLASS_479/S2006/F3D.mat"> F3D.mat </a>. Matlab.</li><br/></ol>Engineeringppthttp://www.blogger.com/profile/06590183128732553253noreply@blogger.com0