Lecture 16: Address decoding
|
|
|
- Cody McDowell
- 9 years ago
- Views:
Transcription
1 Lecture 16: Address decodi Itroductio to address decodi Full address decodi Partial address decodi Implemeti address decoders Examples Microprocessor-based System Desi Ricardo Gutierrez-Osua Wriht State Uiversity 1
2 Itroductio to address decodi Althouh the memory space i the is said to be flat, it does ot mea that the physical implemetatio of memory is homoeeous Differet portios of memory are used for differet purposes: RAM, ROM, I/O devices Eve if all the memory was of oe type, we still have to implemet it usi multiple ICs This meas that for a ive valid address, oe ad oly oe memory-mapped compoet must be accessed Address decodi is the process of eerati chip select () sials from the address bus for each device i the system The address bus lies are split ito two sectios the N most siificat bits are used to eerate the sials for the differet devices the M least siificat sials are passed to the devices as addresses to the differet memory cells or iteral reisters Address decodi stratey Memory map M SB L SB Address lies. 2 N blocks N bits to decoder M bits to memory 2 M address rae Microprocessor-based System Desi Ricardo Gutierrez-Osua Wriht State Uiversity 2
3 A very simple example Let s assume a very simple microprocessor with 10 address lies (1KB memory) Let s assume we wish to implemet all its memory space ad we use 128x8 memory chips SOLUTION We will eed 8 memory chips (8x128=1024) We will eed 3 address lies to select each oe of the 8 chips Each chip will eed 7 address lies to address its iteral memory cells 7 MEM 0 MEM 4 Memory map to-8 decoder MEM 1 MEM 5 MEM 0 MEM 1 MEM 2 MEM 3 CPU MEM 2 MEM 6 MEM 4 MEM 5 MEM 3 MEM 7 MEM 6 MEM 7 Microprocessor-based System Desi Ricardo Gutierrez-Osua Wriht State Uiversity 3
4 Address decodi methods The previous example specified that all addressable memory space was to be implemeted but There are some situatios where this requiremet is ot ecessary or affordable If oly a portio of the addressable space is oi to be implemeted there are two basic address decodi strateies Full address decodi All the address lies are used to specify a memory locatio Each physical memory locatio is idetified by a uique address Partial address decodi Sice ot all the address space is implemeted, oly a subset of the address lies are eeded to poit to the physical memory locatios Each physical memory locatio is idetified by several possible addresses (usi all combiatios of the address lies that were ot used) Microprocessor-based System Desi Ricardo Gutierrez-Osua Wriht State Uiversity 4
5 Full address decodi Let s assume the same microprocessor with 10 address lies (1KB memory) However, this time we wish to implemet oly 512 bytes of memory We still must use 128-byte memory chips Physical memory must be placed o the upper half of the memory map SOLUTION Used for Address Decodi Used to referece memory cells o each memory IC Device A9 A6 A5 A4 A3 A2 A1 A0 MEM X X X X X X X MEM X X X X X X X MEM X X X X X X X MEM X X X X X X X Memory map A9 CS MEM0 CS MEM1 CS MEM2 CS MEM3 MEM 0 MEM 1 MEM 2 MEM 3 Not used Not used Not used Not used Microprocessor-based System Desi Ricardo Gutierrez-Osua Wriht State Uiversity 5
6 Partial address decodi Let s assume the same microprocessor with 10 address lies (1KB memory) However, this time we wish to implemet oly 512 bytes of memory We still must use 128-byte memory chips Physical memory must be placed o the upper half of the memory map SOLUTION Not used Used for Address Decodi Used to referece memory cells o each memory IC Device A9 A6 A5 A4 A3 A2 A1 A0 MEM 0 X 0 0 X X X X X X X MEM 1 X 0 1 X X X X X X X MEM 2 X 1 0 X X X X X X X MEM 3 X 1 1 X X X X X X X CS MEM0 CS MEM1 CS MEM2 CS MEM3 Memory map MEM 0 MEM 1 MEM 2 MEM 3 MEM 1 MEM 2 MEM 3 MEM 4 Microprocessor-based System Desi Ricardo Gutierrez-Osua Wriht State Uiversity 6
7 Implemeti address decoders Discrete loic Hih speed (propaatio sials) Hih chip-cout Lacks flexibility Data decoders More appropriate tha radom loic The selectio of devices is determied by the physical wiri All the memory blocks must have the same size Prorammable Read Oly Memory (PROM) Versatile, sice the selectio of devices is determied by the prorammi Memory blocks ca be of differet sizes Lookup tables ca become very lare for more tha 8 address lies Other methods (beyod the scope of the lecture) are Field Prorammable Gate Arrays (FPGA) ad Prorammable Address Decoders Microprocessor-based System Desi Ricardo Gutierrez-Osua Wriht State Uiversity 7
8 Example 1 A circuit cotaii 64K words of RAM is to be iterfaced to a based system, so that the first address of RAM (the base address) is at $ Solutio What is the etire rae of RAM addresses? Desi a FULL address decoder usi two 64K 8 RAM ICs The address rae for the RAM is from $ to $ (128K=$20000)=$4A0000-1=$49FFFF The two ICs must be differetiated throuh UDS*/LDS* (sice the DOES NOT have A 0 ) 4 8 or 9 0 to F 0 to F 0 to F 0 to F A21 A20 A19 A18 A17 A16 A15 A14 A13 A12 A11 A10 A9 A6 A5 A4 A3 A2 A1 A X X X X X X X X X X X X X X X X X These 7 address lies set the base address of the memory These 16 address lies will select oe of the 2 16 (64K) locatios iside each RAM IC This address lie is implemeted with UDS*/LDS* A 23 A 22 A 21 A 20 SEL UDS SEL D8-D15 A 19 A 18 A 17 AS* LDS SEL D0-D7 Microprocessor-based System Desi Ricardo Gutierrez-Osua Wriht State Uiversity 8
9 Example 2 A based system is to be built with these memory requiremets a 16K word EPROM with a starti address of $ a 16K word RAM with a starti address of $ Desi a FULL address decoder for this applicatio usi 16K 8 chips for both EPROM ad RAM $ (16KWord=32KB=$8000)-1=$60 7FFF $ (16KWord=32KB=$8000)-1=$70 7FFF ROM to 7 0 to F 0 to F 0 to F A22 A21 A20 A19 A18 A17 A16 A15 A14 A13 A12 A11 A10 A9 A6 A5 A4 A3 A2 A1 A X X X X X X X X X X X X X X X RAM A to 7 0 to F 0 to F 0 to F A21 A20 A19 A18 A17 A16 A15 A14 A13 A X X X X X X X X X X X X X X X A 23 A 22 A 21 A 19 A 18 A 17 A 16 A 15 A 20 AS* ROMSEL RAMSEL A11 A10 A9 UDS LDS UDS LDS A6 A5 A4 A3 A2 A1 ROMSEL D8-D15 ROMSEL D0-D7 RAMSEL D8-D15 RAMSEL D0-D7 A0 Microprocessor-based System Desi Ricardo Gutierrez-Osua Wriht State Uiversity 9
10 Example 3 Desi a PARTIAL address decoder for a based system with oly 8K words of EPROM space, ad a base address at $4000, usi 8Kx8 memory chips to 7 0 to F 0 to F 0 to F A21 A20 A19 A18 A17 A16 A15 A14 A13 A12 A11 A10 A9 A6 A5 A4 A3 A2 A1 A X X X X X X X X X X X X X X Microprocessor-based System Desi Ricardo Gutierrez-Osua Wriht State Uiversity 10
11 Example 4 Desi a partial address decoder for a based system that cotais 2MB of EPROM at a starti address $ usi 512Kx8 chips 2MB of RAM at a starti address $ usi 256Kx8 chips 64KB I/O space starti at $FF0000 SOLUTION For the EPROM we will eed 4 512Kx8 chips, oraized as 2 pairs of 512x8 chips (i order to use UDS*/LDS*). We will call these pairs ROM1 ad ROM2 For the RAM we will eed 8 256Kx8 chips, oraized as 4 pairs of 256Kx8: RAM1 to RAM4 Microprocessor-based System Desi Ricardo Gutierrez-Osua Wriht State Uiversity 11
EXERCISES OF FUNDAMENTALS OF COMPUTER TECHNOLOGY UNIT 5. MEMORY SYSTEM
EXERCISES OF FUNDAMENTALS OF COMPUTER TECHNOLOGY UNIT 5. MEMORY SYSTEM Unit 5. Memory System 2 / 6 Most of the exercises in this units deal with installing memory chips in a computer to increase its capacity,
LECTURE 13: Cross-validation
LECTURE 3: Cross-validatio Resampli methods Cross Validatio Bootstrap Bias ad variace estimatio with the Bootstrap Three-way data partitioi Itroductio to Patter Aalysis Ricardo Gutierrez-Osua Texas A&M
CS100: Introduction to Computer Science
Review: History of Computers CS100: Itroductio to Computer Sciece Maiframes Miicomputers Lecture 2: Data Storage -- Bits, their storage ad mai memory Persoal Computers & Workstatios Review: The Role of
Multiplexers and Demultiplexers
I this lesso, you will lear about: Multiplexers ad Demultiplexers 1. Multiplexers 2. Combiatioal circuit implemetatio with multiplexers 3. Demultiplexers 4. Some examples Multiplexer A Multiplexer (see
Your organization has a Class B IP address of 166.144.0.0 Before you implement subnetting, the Network ID and Host ID are divided as follows:
Subettig Subettig is used to subdivide a sigle class of etwork i to multiple smaller etworks. Example: Your orgaizatio has a Class B IP address of 166.144.0.0 Before you implemet subettig, the Network
Domain 1: Designing a SQL Server Instance and a Database Solution
Maual SQL Server 2008 Desig, Optimize ad Maitai (70-450) 1-800-418-6789 Domai 1: Desigig a SQL Server Istace ad a Database Solutio Desigig for CPU, Memory ad Storage Capacity Requiremets Whe desigig a
(VCP-310) 1-800-418-6789
Maual VMware Lesso 1: Uderstadig the VMware Product Lie I this lesso, you will first lear what virtualizatio is. Next, you ll explore the products offered by VMware that provide virtualizatio services.
Modified Line Search Method for Global Optimization
Modified Lie Search Method for Global Optimizatio Cria Grosa ad Ajith Abraham Ceter of Excellece for Quatifiable Quality of Service Norwegia Uiversity of Sciece ad Techology Trodheim, Norway {cria, ajith}@q2s.tu.o
Repeating Decimals are decimal numbers that have number(s) after the decimal point that repeat in a pattern.
5.5 Fractios ad Decimals Steps for Chagig a Fractio to a Decimal. Simplify the fractio, if possible. 2. Divide the umerator by the deomiator. d d Repeatig Decimals Repeatig Decimals are decimal umbers
Project Deliverables. CS 361, Lecture 28. Outline. Project Deliverables. Administrative. Project Comments
Project Deliverables CS 361, Lecture 28 Jared Saia Uiversity of New Mexico Each Group should tur i oe group project cosistig of: About 6-12 pages of text (ca be loger with appedix) 6-12 figures (please
CS103X: Discrete Structures Homework 4 Solutions
CS103X: Discrete Structures Homewor 4 Solutios Due February 22, 2008 Exercise 1 10 poits. Silico Valley questios: a How may possible six-figure salaries i whole dollar amouts are there that cotai at least
A Combined Continuous/Binary Genetic Algorithm for Microstrip Antenna Design
A Combied Cotiuous/Biary Geetic Algorithm for Microstrip Atea Desig Rady L. Haupt The Pesylvaia State Uiversity Applied Research Laboratory P. O. Box 30 State College, PA 16804-0030 [email protected] Abstract:
Systems Design Project: Indoor Location of Wireless Devices
Systems Desig Project: Idoor Locatio of Wireless Devices Prepared By: Bria Murphy Seior Systems Sciece ad Egieerig Washigto Uiversity i St. Louis Phoe: (805) 698-5295 Email: [email protected] Supervised
Confidence Intervals for One Mean
Chapter 420 Cofidece Itervals for Oe Mea Itroductio This routie calculates the sample size ecessary to achieve a specified distace from the mea to the cofidece limit(s) at a stated cofidece level for a
In nite Sequences. Dr. Philippe B. Laval Kennesaw State University. October 9, 2008
I ite Sequeces Dr. Philippe B. Laval Keesaw State Uiversity October 9, 2008 Abstract This had out is a itroductio to i ite sequeces. mai de itios ad presets some elemetary results. It gives the I ite Sequeces
Memory Basics. SRAM/DRAM Basics
Memory Basics RAM: Random Access Memory historically defined as memory array with individual bit access refers to memory with both Read and Write capabilities ROM: Read Only Memory no capabilities for
Vladimir N. Burkov, Dmitri A. Novikov MODELS AND METHODS OF MULTIPROJECTS MANAGEMENT
Keywords: project maagemet, resource allocatio, etwork plaig Vladimir N Burkov, Dmitri A Novikov MODELS AND METHODS OF MULTIPROJECTS MANAGEMENT The paper deals with the problems of resource allocatio betwee
Chapter 5 O A Cojecture Of Erdíos Proceedigs NCUR VIII è1994è, Vol II, pp 794í798 Jeærey F Gold Departmet of Mathematics, Departmet of Physics Uiversity of Utah Do H Tucker Departmet of Mathematics Uiversity
A N. O N Output/Input-output connection
Memory Types Two basic types: ROM: Read-only memory RAM: Read-Write memory Four commonly used memories: ROM Flash, EEPROM Static RAM (SRAM) Dynamic RAM (DRAM), SDRAM, RAMBUS, DDR RAM Generic pin configuration:
Properties of MLE: consistency, asymptotic normality. Fisher information.
Lecture 3 Properties of MLE: cosistecy, asymptotic ormality. Fisher iformatio. I this sectio we will try to uderstad why MLEs are good. Let us recall two facts from probability that we be used ofte throughout
MICROPROCESSOR AND MICROCOMPUTER BASICS
Introduction MICROPROCESSOR AND MICROCOMPUTER BASICS At present there are many types and sizes of computers available. These computers are designed and constructed based on digital and Integrated Circuit
Center, Spread, and Shape in Inference: Claims, Caveats, and Insights
Ceter, Spread, ad Shape i Iferece: Claims, Caveats, ad Isights Dr. Nacy Pfeig (Uiversity of Pittsburgh) AMATYC November 2008 Prelimiary Activities 1. I would like to produce a iterval estimate for the
5: Introduction to Estimation
5: Itroductio to Estimatio Cotets Acroyms ad symbols... 1 Statistical iferece... Estimatig µ with cofidece... 3 Samplig distributio of the mea... 3 Cofidece Iterval for μ whe σ is kow before had... 4 Sample
Domain 1: Configuring Domain Name System (DNS) for Active Directory
Maual Widows Domai 1: Cofigurig Domai Name System (DNS) for Active Directory Cofigure zoes I Domai Name System (DNS), a DNS amespace ca be divided ito zoes. The zoes store ame iformatio about oe or more
Department of Computer Science, University of Otago
Departmet of Computer Sciece, Uiversity of Otago Techical Report OUCS-2006-09 Permutatios Cotaiig May Patters Authors: M.H. Albert Departmet of Computer Sciece, Uiversity of Otago Micah Colema, Rya Fly
Chapter 10 Computer Design Basics
Logic ad Computer Desig Fudametals Chapter 10 Computer Desig Basics Part 1 Datapaths Charles Kime & Thomas Kamiski 2004 Pearso Educatio, Ic. Terms of Use (Hyperliks are active i View Show mode) Overview
Running Time ( 3.1) Analysis of Algorithms. Experimental Studies ( 3.1.1) Limitations of Experiments. Pseudocode ( 3.1.2) Theoretical Analysis
Ruig Time ( 3.) Aalysis of Algorithms Iput Algorithm Output A algorithm is a step-by-step procedure for solvig a problem i a fiite amout of time. Most algorithms trasform iput objects ito output objects.
The following example will help us understand The Sampling Distribution of the Mean. C1 C2 C3 C4 C5 50 miles 84 miles 38 miles 120 miles 48 miles
The followig eample will help us uderstad The Samplig Distributio of the Mea Review: The populatio is the etire collectio of all idividuals or objects of iterest The sample is the portio of the populatio
Confidence Intervals
Cofidece Itervals Cofidece Itervals are a extesio of the cocept of Margi of Error which we met earlier i this course. Remember we saw: The sample proportio will differ from the populatio proportio by more
Annuities Under Random Rates of Interest II By Abraham Zaks. Technion I.I.T. Haifa ISRAEL and Haifa University Haifa ISRAEL.
Auities Uder Radom Rates of Iterest II By Abraham Zas Techio I.I.T. Haifa ISRAEL ad Haifa Uiversity Haifa ISRAEL Departmet of Mathematics, Techio - Israel Istitute of Techology, 3000, Haifa, Israel I memory
Security Functions and Purposes of Network Devices and Technologies (SY0-301) 1-800-418-6789. Firewalls. Audiobooks
Maual Security+ Domai 1 Network Security Every etwork is uique, ad architecturally defied physically by its equipmet ad coectios, ad logically through the applicatios, services, ad idustries it serves.
Memory. The memory types currently in common usage are:
ory ory is the third key component of a microprocessor-based system (besides the CPU and I/O devices). More specifically, the primary storage directly addressed by the CPU is referred to as main memory
Development of Stability Program at a Cord Blood Bank
Developmet of Stability Proram at a Cord Blood Bak SAFA KARANDISH CELL THERAPY LABORATORY MD ANDERSON CANCER CENTER HOUSTON, TEXAS Backroud Curret practice does ot require assii expiratio date to cord
Chapter 5: Inner Product Spaces
Chapter 5: Ier Product Spaces Chapter 5: Ier Product Spaces SECION A Itroductio to Ier Product Spaces By the ed of this sectio you will be able to uderstad what is meat by a ier product space give examples
Convexity, Inequalities, and Norms
Covexity, Iequalities, ad Norms Covex Fuctios You are probably familiar with the otio of cocavity of fuctios. Give a twicedifferetiable fuctio ϕ: R R, We say that ϕ is covex (or cocave up) if ϕ (x) 0 for
Chapter 7 Methods of Finding Estimators
Chapter 7 for BST 695: Special Topics i Statistical Theory. Kui Zhag, 011 Chapter 7 Methods of Fidig Estimators Sectio 7.1 Itroductio Defiitio 7.1.1 A poit estimator is ay fuctio W( X) W( X1, X,, X ) of
We r e going to play Final (exam) Jeopardy! "Answers:" "Questions:" - 1 -
. (0 pts) We re going to play Final (exam) Jeopardy! Associate the following answers with the appropriate question. (You are given the "answers": Pick the "question" that goes best with each "answer".)
I. Chi-squared Distributions
1 M 358K Supplemet to Chapter 23: CHI-SQUARED DISTRIBUTIONS, T-DISTRIBUTIONS, AND DEGREES OF FREEDOM To uderstad t-distributios, we first eed to look at aother family of distributios, the chi-squared distributios.
CME 302: NUMERICAL LINEAR ALGEBRA FALL 2005/06 LECTURE 8
CME 30: NUMERICAL LINEAR ALGEBRA FALL 005/06 LECTURE 8 GENE H GOLUB 1 Positive Defiite Matrices A matrix A is positive defiite if x Ax > 0 for all ozero x A positive defiite matrix has real ad positive
Ekkehart Schlicht: Economic Surplus and Derived Demand
Ekkehart Schlicht: Ecoomic Surplus ad Derived Demad Muich Discussio Paper No. 2006-17 Departmet of Ecoomics Uiversity of Muich Volkswirtschaftliche Fakultät Ludwig-Maximilias-Uiversität Müche Olie at http://epub.ub.ui-mueche.de/940/
5.4 Amortization. Question 1: How do you find the present value of an annuity? Question 2: How is a loan amortized?
5.4 Amortizatio Questio 1: How do you fid the preset value of a auity? Questio 2: How is a loa amortized? Questio 3: How do you make a amortizatio table? Oe of the most commo fiacial istrumets a perso
Finding the circle that best fits a set of points
Fidig the circle that best fits a set of poits L. MAISONOBE October 5 th 007 Cotets 1 Itroductio Solvig the problem.1 Priciples............................... Iitializatio.............................
EUROCONTROL PRISMIL. EUROCONTROL civil-military performance monitoring system
EUROCONTROL PRISMIL EUROCONTROL civil-military performace moitorig system Itroductio What is PRISMIL? PRISMIL is a olie civil-military performace moitorig system which facilitates the combied performace
SAMPLE QUESTIONS FOR FINAL EXAM. (1) (2) (3) (4) Find the following using the definition of the Riemann integral: (2x + 1)dx
SAMPLE QUESTIONS FOR FINAL EXAM REAL ANALYSIS I FALL 006 3 4 Fid the followig usig the defiitio of the Riema itegral: a 0 x + dx 3 Cosider the partitio P x 0 3, x 3 +, x 3 +,......, x 3 3 + 3 of the iterval
Theorems About Power Series
Physics 6A Witer 20 Theorems About Power Series Cosider a power series, f(x) = a x, () where the a are real coefficiets ad x is a real variable. There exists a real o-egative umber R, called the radius
2-3-4 Trees and Red- Black Trees
2-3-4 Trees ad ed- Black Trees erm 204 2-3-4 Trees evealed Nodes store 1, 2, or 3 keys ad have 2, 3, or 4 childre, respectively All leaves have the same depth k b e h r a c d f i l m p s x 1 -- lo( N +
Chapter 7: Confidence Interval and Sample Size
Chapter 7: Cofidece Iterval ad Sample Size Learig Objectives Upo successful completio of Chapter 7, you will be able to: Fid the cofidece iterval for the mea, proportio, ad variace. Determie the miimum
Non-life insurance mathematics. Nils F. Haavardsson, University of Oslo and DNB Skadeforsikring
No-life isurace mathematics Nils F. Haavardsso, Uiversity of Oslo ad DNB Skadeforsikrig Mai issues so far Why does isurace work? How is risk premium defied ad why is it importat? How ca claim frequecy
MACHINE ARCHITECTURE & LANGUAGE
in the name of God the compassionate, the merciful notes on MACHINE ARCHITECTURE & LANGUAGE compiled by Jumong Chap. 9 Microprocessor Fundamentals A system designer should consider a microprocessor-based
A gentle introduction to Expectation Maximization
A getle itroductio to Expectatio Maximizatio Mark Johso Brow Uiversity November 2009 1 / 15 Outlie What is Expectatio Maximizatio? Mixture models ad clusterig EM for setece topic modelig 2 / 15 Why Expectatio
Domain 1 Components of the Cisco Unified Communications Architecture
Maual CCNA Domai 1 Compoets of the Cisco Uified Commuicatios Architecture Uified Commuicatios (UC) Eviromet Cisco has itroduced what they call the Uified Commuicatios Eviromet which is used to separate
5.3. Generalized Permutations and Combinations
53 GENERALIZED PERMUTATIONS AND COMBINATIONS 73 53 Geeralized Permutatios ad Combiatios 53 Permutatios with Repeated Elemets Assume that we have a alphabet with letters ad we wat to write all possible
Conversion Instructions:
Coversio Istructios: QMS magicolor 2 DeskLaser to QMS magicolor 2 CX 1800502-001A Trademarks QMS, the QMS logo, ad magicolor are registered trademarks of QMS, Ic., registered i the Uited States Patet ad
Research Method (I) --Knowledge on Sampling (Simple Random Sampling)
Research Method (I) --Kowledge o Samplig (Simple Radom Samplig) 1. Itroductio to samplig 1.1 Defiitio of samplig Samplig ca be defied as selectig part of the elemets i a populatio. It results i the fact
Handout 17. by Dr Sheikh Sharif Iqbal. Memory Unit and Read Only Memories
Handout 17 by Dr Sheikh Sharif Iqbal Memory Unit and Read Only Memories Objective: - To discuss different types of memories used in 80x86 systems for storing digital information. - To learn the electronic
PUBLIC RELATIONS PROJECT 2016
PUBLIC RELATIONS PROJECT 2016 The purpose of the Public Relatios Project is to provide a opportuity for the chapter members to demostrate the kowledge ad skills eeded i plaig, orgaizig, implemetig ad evaluatig
*The most important feature of MRP as compared with ordinary inventory control analysis is its time phasing feature.
Itegrated Productio ad Ivetory Cotrol System MRP ad MRP II Framework of Maufacturig System Ivetory cotrol, productio schedulig, capacity plaig ad fiacial ad busiess decisios i a productio system are iterrelated.
Mobile Client Architecture Web vs. Native vs. Hybrid Apps
White Paper Mobile Cliet Architecture Web vs. Native vs. Hybrid Apps Choosig appropriate cliet architectures is a hotly debated topic of late. Havig bee party to these debates ad also to implemetatios
iprox sensors iprox inductive sensors iprox programming tools ProxView programming software iprox the world s most versatile proximity sensor
iprox sesors iprox iductive sesors iprox programmig tools ProxView programmig software iprox the world s most versatile proximity sesor The world s most versatile proximity sesor Eato s iproxe is syoymous
Objectives. Units of Memory Capacity. CMPE328 Microprocessors (Spring 2007-08) Memory and I/O address Decoders. By Dr.
CMPE328 Microprocessors (Spring 27-8) Memory and I/O address ecoders By r. Mehmet Bodur You will be able to: Objectives efine the capacity, organization and types of the semiconductor memory devices Calculate
To c o m p e t e in t o d a y s r e t a i l e n v i r o n m e n t, y o u n e e d a s i n g l e,
Busiess Itelligece Software for Retail To c o m p e t e i t o d a y s r e t a i l e v i r o m e t, y o u e e d a s i g l e, comprehesive view of your busiess. You have to tur the decisio-makig of your
Hypergeometric Distributions
7.4 Hypergeometric Distributios Whe choosig the startig lie-up for a game, a coach obviously has to choose a differet player for each positio. Similarly, whe a uio elects delegates for a covetio or you
Trigonometric Form of a Complex Number. The Complex Plane. axis. ( 2, 1) or 2 i FIGURE 6.44. The absolute value of the complex number z a bi is
0_0605.qxd /5/05 0:45 AM Page 470 470 Chapter 6 Additioal Topics i Trigoometry 6.5 Trigoometric Form of a Complex Number What you should lear Plot complex umbers i the complex plae ad fid absolute values
RAM & ROM Based Digital Design. ECE 152A Winter 2012
RAM & ROM Based Digital Design ECE 152A Winter 212 Reading Assignment Brown and Vranesic 1 Digital System Design 1.1 Building Block Circuits 1.1.3 Static Random Access Memory (SRAM) 1.1.4 SRAM Blocks in
Agenda. Outsourcing and Globalization in Software Development. Outsourcing. Outsourcing here to stay. Outsourcing Alternatives
Outsourcig ad Globalizatio i Software Developmet Jacques Crocker UW CSE Alumi 2003 [email protected] Ageda Itroductio The Outsourcig Pheomeo Leadig Offshore Projects Maagig Customers Offshore Developmet
Topic 5: Confidence Intervals (Chapter 9)
Topic 5: Cofidece Iterval (Chapter 9) 1. Itroductio The two geeral area of tatitical iferece are: 1) etimatio of parameter(), ch. 9 ) hypothei tetig of parameter(), ch. 10 Let X be ome radom variable with
Section 11.3: The Integral Test
Sectio.3: The Itegral Test Most of the series we have looked at have either diverged or have coverged ad we have bee able to fid what they coverge to. I geeral however, the problem is much more difficult
Electrostatic solutions for better efficiency
Electrostatic solutios for better efficiecy idustry for egieers, professioals ad techicias i developmet, productio ad istallatio. www.kerste.de/e Electrostatic solutios kerste has bee the leadig supplier
CS100: Introduction to Computer Science
I-class Exercise: CS100: Itroductio to Computer Sciece What is a flip-flop? What are the properties of flip-flops? Draw a simple flip-flop circuit? Lecture 3: Data Storage -- Mass storage & represetig
GCSE STATISTICS. 4) How to calculate the range: The difference between the biggest number and the smallest number.
GCSE STATISTICS You should kow: 1) How to draw a frequecy diagram: e.g. NUMBER TALLY FREQUENCY 1 3 5 ) How to draw a bar chart, a pictogram, ad a pie chart. 3) How to use averages: a) Mea - add up all
Design and Implementation of a Publication Database for the Vienna University of Technology
Desig ad Implemetatio of a Publicatio Database for the Viea Uiversity of Techology Karl Riedlig Istitute of Idustrial Electroics ad Material Sciece, TU Wie, A-040 Viea [email protected] Abstract:
Discrete Mathematics and Probability Theory Spring 2014 Anant Sahai Note 13
EECS 70 Discrete Mathematics ad Probability Theory Sprig 2014 Aat Sahai Note 13 Itroductio At this poit, we have see eough examples that it is worth just takig stock of our model of probability ad may
Read-only memory Implementing logic with ROM Programmable logic devices Implementing logic with PLDs Static hazards
Points ddressed in this Lecture Lecture 8: ROM Programmable Logic Devices Professor Peter Cheung Department of EEE, Imperial College London Read-only memory Implementing logic with ROM Programmable logic
IT Support. 020 8269 6878 n www.premierchoiceinternet.com n [email protected]. 30 Day FREE Trial. IT Support from 8p/user
IT Support IT Support Premier Choice Iteret has bee providig reliable, proactive & affordable IT Support solutios to compaies based i Lodo ad the South East of Eglad sice 2002. Our goal is to provide our
QUADRO tech. FSA Migrator 2.6. File Server Migrations - Made Easy
QUADRO tech FSA Migrator 2.6 File Server Migratios - Made Easy FSA Migrator Cosolidate your archived ad o-archived File Server data - with ease! May orgaisatios struggle with the cotiuous growth of their
Predictive Modeling Data. in the ACT Electronic Student Record
Predictive Modelig Data i the ACT Electroic Studet Record overview Predictive Modelig Data Added to the ACT Electroic Studet Record With the release of studet records i September 2012, predictive modelig
Semiconductor Devices
emicoductor evices Prof. Zbigiew Lisik epartmet of emicoductor ad Optoelectroics evices room: 116 e-mail: [email protected] Uipolar devices IFE T&C JFET Trasistor Uipolar evices - Trasistors asic
Analyzing Longitudinal Data from Complex Surveys Using SUDAAN
Aalyzig Logitudial Data from Complex Surveys Usig SUDAAN Darryl Creel Statistics ad Epidemiology, RTI Iteratioal, 312 Trotter Farm Drive, Rockville, MD, 20850 Abstract SUDAAN: Software for the Statistical
The Canadian Council of Professional Engineers
The Caadia Coucil of Professioal Egieers Providig leadership which advaces the quality of life through the creative, resposible ad progressive applicatio of egieerig priciples i a global cotext Egieerig
Introduction to Demand Planning & Forecasting
CTL.SC1x -Supply Chai & Logistics Fudametals Itroductio to Demad Plaig & Forecastig MIT Ceter for Trasportatio & Logistics Demad Process Three Key Questios What should we do to shape ad create demad for
Did you know that houses with CCTV are 90% less likely to be burgled? Yale now offer a range of Easy Fit CCTV systems
Easy Fit CCTV Rage Did you kow that houses with CCTV are 90% less likely to be burgled? Yale ow offer a rage of Easy Fit CCTV systems Protect your premises wherever you are with our ew rage of CCTV systems,
Elementary Theory of Russian Roulette
Elemetary Theory of Russia Roulette -iterestig patters of fractios- Satoshi Hashiba Daisuke Miematsu Ryohei Miyadera Itroductio. Today we are goig to study mathematical theory of Russia roulette. If some
Domain 1 - Describe Cisco VoIP Implementations
Maual ONT (642-8) 1-800-418-6789 Domai 1 - Describe Cisco VoIP Implemetatios Advatages of VoIP Over Traditioal Switches Voice over IP etworks have may advatages over traditioal circuit switched voice etworks.
ODBC. Getting Started With Sage Timberline Office ODBC
ODBC Gettig Started With Sage Timberlie Office ODBC NOTICE This documet ad the Sage Timberlie Office software may be used oly i accordace with the accompayig Sage Timberlie Office Ed User Licese Agreemet.
Baan Service Master Data Management
Baa Service Master Data Maagemet Module Procedure UP069A US Documetiformatio Documet Documet code : UP069A US Documet group : User Documetatio Documet title : Master Data Maagemet Applicatio/Package :
Engineering Data Management
BaaERP 5.0c Maufacturig Egieerig Data Maagemet Module Procedure UP128A US Documetiformatio Documet Documet code : UP128A US Documet group : User Documetatio Documet title : Egieerig Data Maagemet Applicatio/Package
Matched Filter Decoding of Random Binary and Gaussian Codes in Broadband Gaussian Channel
Matched Filter Decodi of Radom Biary ad Gaussia Codes i Broadad Gaussia Chael Vitaly Adrashitov, Muriel Médard ad Daa Moshkovitz Dep. of Electrical E. & Computer Sciece Massachusetts Istitute of Techoloy
Case Study. Normal and t Distributions. Density Plot. Normal Distributions
Case Study Normal ad t Distributios Bret Halo ad Bret Larget Departmet of Statistics Uiversity of Wiscosi Madiso October 11 13, 2011 Case Study Body temperature varies withi idividuals over time (it ca
Configuring Additional Active Directory Server Roles
Maual Upgradig your MCSE o Server 2003 to Server 2008 (70-649) 1-800-418-6789 Cofigurig Additioal Active Directory Server Roles Active Directory Lightweight Directory Services Backgroud ad Cofiguratio
CSE2102 Digital Design II - Topics CSE2102 - Digital Design II
CSE2102 Digital Design II - Topics CSE2102 - Digital Design II 6 - Microprocessor Interfacing - Memory and Peripheral Dr. Tim Ferguson, Monash University. AUSTRALIA. Tel: +61-3-99053227 FAX: +61-3-99053574
The analysis of the Cournot oligopoly model considering the subjective motive in the strategy selection
The aalysis of the Courot oligopoly model cosiderig the subjective motive i the strategy selectio Shigehito Furuyama Teruhisa Nakai Departmet of Systems Maagemet Egieerig Faculty of Egieerig Kasai Uiversity
FEATURE BASED RECOGNITION OF TRAFFIC VIDEO STREAMS FOR ONLINE ROUTE TRACING
FEATURE BASED RECOGNITION OF TRAFFIC VIDEO STREAMS FOR ONLINE ROUTE TRACING Christoph Busch, Ralf Dörer, Christia Freytag, Heike Ziegler Frauhofer Istitute for Computer Graphics, Computer Graphics Ceter
Hypothesis testing. Null and alternative hypotheses
Hypothesis testig Aother importat use of samplig distributios is to test hypotheses about populatio parameters, e.g. mea, proportio, regressio coefficiets, etc. For example, it is possible to stipulate
MICROPROCESSOR. Exclusive for IACE Students www.iace.co.in iacehyd.blogspot.in Ph: 9700077455/422 Page 1
MICROPROCESSOR A microprocessor incorporates the functions of a computer s central processing unit (CPU) on a single Integrated (IC), or at most a few integrated circuit. It is a multipurpose, programmable
Incremental calculation of weighted mean and variance
Icremetal calculatio of weighted mea ad variace Toy Fich [email protected] [email protected] Uiversity of Cambridge Computig Service February 009 Abstract I these otes I eplai how to derive formulae for umerically
BaanERP. BaanERP Windows Client Installation Guide
BaaERP A publicatio of: Baa Developmet B.V. P.O.Box 143 3770 AC Bareveld The Netherlads Prited i the Netherlads Baa Developmet B.V. 1999. All rights reserved. The iformatio i this documet is subject to
