'Bernard chen ph d' presentation slideshows

Pipeline and Vector Processing (Chapter2 and Appendix A)

Pipeline and Vector Processing (Chapter2 and Appendix A). Dr. Bernard Chen Ph.D. University of Central Arkansas. Parallel processing. A parallel processing system is able to perform concurrent data processing to achieve faster execution time

917 views • 59 slides

Ch5 Stochastic Methods

550 views • 37 slides

Chapter 7 Relational Database Design by ER- and EER-to-Relational Mapping

Chapter 7 Relational Database Design by ER- and EER-to-Relational Mapping. Dr. Bernard Chen Ph.D. University of Central Arkansas Fall 2008. Chapter Outline. ER-to-Relational Mapping Algorithm Step 1: Mapping of Regular Entity Types Step 2: Mapping of Weak Entity Types

982 views • 36 slides

Chapter 16 Stack and Queues part2

571 views • 30 slides

K-map

K-map. Dr. Bernard Chen Ph.D. University of Central Arkansas Spring 2009. Minimization of Boolean expressions.

1.08k views • 30 slides

Chapter3 Limitations on Instruction-Level Parallelism

Chapter3 Limitations on Instruction-Level Parallelism. Bernard Chen Ph.D. University of Central Arkansas. Overcome Data Hazards with Dynamic Scheduling. If there is a data dependence, the hazard detection hardware stalls the pipeline

1.12k views • 30 slides

Combinational Circuits

616 views • 30 slides

Introduction

Introduction. Dr. Bernard Chen Ph.D. University of Central Arkansas Spring 2009. What Is Computer Architecture?. Computer Architecture = Instruction Set Architecture + Machine Organization. 2. Instruction Set Architecture.

652 views • 29 slides

Data Preprocessing

858 views • 29 slides

Introduction

Introduction. Dr. Bernard Chen Ph.D. University of Central Arkansas Spring 2009. What Is Computer Architecture?. Computer Architecture = Instruction Set Architecture + Machine Organization. 2. Instruction Set Architecture.

487 views • 29 slides

Chapter 5 Mining Association Rules with FP Tree

Chapter 5 Mining Association Rules with FP Tree. Dr. Bernard Chen Ph.D. University of Central Arkansas Fall 2010. Mining Frequent Itemsets without Candidate Generation.

1.2k views • 26 slides

Chapter 1 Database and Database Users

Chapter 1 Database and Database Users. Dr. Bernard Chen Ph.D. University of Central Arkansas Fall 2008. Outline. Database Introduction An Example Characteristics of the Database Actors on the Scene Advantages of using the DBMS approach. Database Examples.

724 views • 26 slides

Chapter 6 Additional Relational Operations

Chapter 6 Additional Relational Operations. Dr. Bernard Chen Ph.D. University of Central Arkansas Fall 2008. Additional Relational Operations.

434 views • 25 slides

Ch2 Data Preprocessing part2

647 views • 25 slides

Boolean Algebra

Boolean Algebra. Dr. Bernard Chen Ph.D. University of Central Arkansas Spring 2009. LOGIC GATES. Formal logic : In formal logic, a statement (proposition) is a declarative sentence that is either true(1) or false (0). It is easier to communicate with computers using formal logic.

563 views • 23 slides

Chapter 3 Data Representation part2

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658 views • 22 slides

Chapter3 Fixed Point Representation

Chapter3 Fixed Point Representation. Dr. Bernard Chen Ph.D. University of Central Arkansas Spring 2009. Subtract by Summation . Subtraction with complement is done with binary numbers in a similar way. Using two binary numbers X=1010100 and Y=1000011 We perform X-Y and Y-X . X-Y.

2.46k views • 19 slides

Ch.12 Machine Learning Genetic Algorithm

Ch.12 Machine Learning Genetic Algorithm. Dr. Bernard Chen Ph.D. University of Central Arkansas Spring 2011. Genetic Algorithm (GA). GA view learning as a competition among a population of evolving candidate problem solutions.

556 views • 15 slides

Designing Binary Adders with decoders

Designing Binary Adders with decoders. C(X,Y,Z) = S m(3,5,6,7) S(X,Y,Z) = S m(1,2,4,7); . Example: design a full binary adder using one decoder. S(X,Y,Z) = S m(1,2,4,7); C(X,Y,Z) = S m(3,5,6,7) . Chapter 2 Encoder. Dr. Bernard Chen Ph.D. University of Central Arkansas

386 views • 12 slides