'Test point' presentation slideshows

CONTROLLER DESIGN

CONTROLLER DESIGN. ~ Type of compensator ~ Design of compensator in time response ~ Design of compensator in frequency response. Objective. Type of compensator. Basic block diagram. Input. Output. Compensator. Actuator. Plant. +. -.

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CS276: Information Retrieval and Web Search Christopher Manning and Pandu Nayak

CS276: Information Retrieval and Web Search Christopher Manning and Pandu Nayak Lecture 13: Support vector machines and machine learning on documents. [Borrows slides from Ray Mooney]. Text classification. Last lecture: Basic algorithms for text classification Naive Bayes classifier

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Solving Linear Programs (LP Section 2)

Solving Linear Programs (LP Section 2). Chapter 2 (Revisited) Graphical Method Computer Solutions Using LINDO Interpreting Computer Output for LP Section 1 problems. Solving Linear Programs.

1.07k views • 47 slides

ALADDIN Workshop on Graph Partitioning in Vision and Machine Learning

ALADDIN Workshop on Graph Partitioning in Vision and Machine Learning. Jan 9-11, 2003 Welcome!. [Organizers: Avrim Blum, Jon Kleinberg, John Lafferty, Jianbo Shi, Eva Tardos, Ramin Zabih]. Graph partitioning. Coming up recently in Vision (image segmentation, image cleaning,...)

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Progress for search of neutral Supersymmetric Higgs boson h/A bb h 0 /A (h 0 /A ? m + m - )

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Graphing Linear Inequalities

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of embedded test

Summary. Summary. of embedded test. of embedded test. ATPG - test pattern generation process. 1. Target faults. 2. Generate test cube: 1-5%. 3. Random fill: 99-95%. 4. Stimuli on ATE. 5. Response on ATE. Scan/ATPG - non-embedded solution. ATE stimuli. ATE reference. The same width.

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Introduction

Introduction

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Physics 222, September 5

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Fault Cover age Estimation for Non-Random Functional Input Sequences

Fault Cover age Estimation for Non-Random Functional Input Sequences. Soumitra Bose Intel Corporation, Design Technology, Folsom, CA 95630 Vishwani D. Agrawal Auburn University, Dept. of ECE, Auburn, AL 36849. Outline. P roblem statement Background M otivating examples New algorithms

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CLEC CARE CUSTOMER EDUCATION PACKAGE Unbundled Network Elements (UNEs) Local Loops Application

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Machine Learning

Machine Learning. Lecture 6 K-Nearest Neighbor Classifier. x 1. 2. 3. 1. 4. 5. 6. 7. 10. 9. 11. 12. 13. 14. 8. x 2. 15. 16. Elliptical blobs (objects). Objects, Feature Vectors, Points. X(15). X(1). X(7). X(16). X(3). X(8). X(25). X(12). X(13). X(6). X(9). X(10).

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Image Modeling & Segmentation

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3.2 Linear Programming

3.2 Linear Programming. 3 Credits AS 91574. Linear Programming. Learning objectives. I can plot linear inequalities I can find regions of intersection. y. 5. ( 2 , 4 ). 4. 3. Boundary line solid if inequality is either ? or ?. 2. 1. x. -4. -3. 2. 0. 1. 3. 4. -2. -1. 5.

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Graphing Linear Inequalities

Graphing Linear Inequalities. Linear Inequalities. A linear inequality in two variables can be written in any one of these forms: Ax + By < C Ax + By > C Ax + By ? C Ax + By ? C

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3-3 Solving Systems of Inequalities by Graphing

3-3 Solving Systems of Inequalities by Graphing. Determine if line is dashed/solid (< or > -----> , ? or ? ? ). Plug in any pt not on boundary (0, 0) is simplest if available. Find related equation ex) y < 5x + 6, y = 5x + 6. Put inequality in slope-int form y = m x + b.

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Using Rebound hammer

One of the ways to use the rebound hammer is to locate those areas that may need additional investigation. In this procedure the round hammer is used at several locations to identify those areas that have a lower rebound number. Since the structure would have the same mixture, curing history, moisture content, etc., the rebound hammer can identify those areas that appear to have the weakest concrete.

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Solve Systems of Equations & Graph Inequalities

Solve Systems of Equations & Graph Inequalities. Lesson 13.3 & 13.4. When two lines are graphed on the same coordinate plane, the lines may be:. Parallel Intersecting Identical (coincident). Two methods to solve a system of Equations:. Substitution: Substitute one equation into the other.

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Section 7.6

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3.9 Graphs of Quadratic Inequalities

3.9 Graphs of Quadratic Inequalities. p. 96-101. Forms of Quadratic Inequalities y<ax 2 +bx+c y>ax 2 +bx+c y ?ax 2 +bx+c y?ax 2 +bx+c. Graphs will look like a parabola with a solid or dotted line and a shaded section. The graph could be shaded inside the parabola or outside.

179 views • 6 slides