Exam Complex Systems Design Methodology

Size: px
Start display at page:

Download "Exam Complex Systems Design Methodology"

Transcription

1 Exam Complex Systems Design Methodology Thursday, 21 January 2010 at 8.30 Prof. Dirk Stroobandt name: Some remarks Write your name on this page and write your initials on all pages you hand in. This exam has to be solved within 3 hours. Write the answers in the allocated zones. Most answers are short. Do not use green ink or pencils. This is an open book exam. You are allowed to use the PowerPoint slides presented in both theory and lab sessions and the course notes. The use of electronic devices is prohibited. You are not allowed to ask fellow students for help. This exam is printed on recycled paper made from 100% post-consumer waste pulp. De-inked without bleaching. Free from optical brightening agents. 1

2 Question 1. Industrial bakery (4 points) The figure shows the production line of an industrial cake bakery. Most cakes (90%) require 5 production steps: A, B, C, D, and E, in alphabetical order. Some cakes (10%) do not need filling and can therefore skip steps B and C. In steps C, D, and E a choice between different materials has to be made. The machines C, D, and E are set to automatically make the right choice for each cake. Each of these three machines only processes one cake at a time. Choosing the correct material does not take any time. The figure below shows the duration for each step. It should be noted that putting the cherry on a cake (step E) takes less time than writing chocolate text on the cake. step A basic cake step B cut in half step C cake filling step D top layer step E finishing touch TEXT pipeline each cake is in the oven for 36 min. 12 cakes at a time duration: 1 min. 4 options duration: 2 min. 3 options duration: 2 min. 2 options cherry: 1 min. text: 5 min. (a) Possible problems Describe two different cases which lead to a throughput problem in the production line. Clearly indicate where in the line these problems occur. 2 This exam is printed on recycled paper made from 100% post-consumer waste pulp. De-inked without bleaching. Free from optical brightening agents.

3 (b) Solutions Describe which buffers you would add to the system to improve the production line and thus resolve the problems from (a). Calculate the minimal buffer sizes. Does this solve all problems? If so, prove this is the case. If not, indicate which problems remain and why they still exist. You may include a possible solution. (c) Deadlock Can a deadlock occur in this production line? If so, give an example. If not, explain why this is not possible. This exam is printed on recycled paper made from 100% post-consumer waste pulp. De-inked without bleaching. Free from optical brightening agents. 3

4 (d) Consequences of changing step C How do the flow and buffers of the production line change when step C takes 3 times as long? (e) Change the ratio to 50/50 How do the buffer lengths and flow change if the ratio between cakes that have to pass step B and C and cakes that can skip B and C, changes to 50/50 instead of 90/10. Explain your answer extensively. 4 This exam is printed on recycled paper made from 100% post-consumer waste pulp. De-inked without bleaching. Free from optical brightening agents.

5 Question 2. Digital design (4 points) For JPEG compression images are converted from RGB representation to YUV. Practically this means that each pixel in the original image is represented by 3 bytes: 1 for red, 1 for green, and 1 for blue. After the conversion these 3 bytes are: 1 for Y (the luminance), 1 for U, and 1 for V. In which V and U contain the chrominance information. Notice that both R, G, B and Y, U, V represent numbers between 0 and 255. The conversion is done using the following equations: Y = (306 * R * G * B) >> 10; U = (- 172 * R * G * B ) >> 10; V = (512 * R * G - 83 * B ) >> 10; For the hardware implementation you can use adders and multipliers with two operands. The adders can add two 18-bit numbers, the multipliers work with two 10-bit numbers. An addition takes 1 clock cycle, a multiplication 4 cycles. (a) Hardware implementation Sketch the fastest possible hardware implementation that achieves this conversion. Also indicate how many clock cycles your solution requires, and the amount of adders, multipliers and registers you need. This exam is printed on recycled paper made from 100% post-consumer waste pulp. De-inked without bleaching. Free from optical brightening agents. 5

6 (b) Efficient hardware implementation Make a new solution using, at most, 4 adders and 4 multipliers. You choose the fastest solution within the specified limits. Again, indicate how many clock cycles your solution requires and specify the amount of adders, multipliers and registers you need. (c) Improvement of the efficient implementation You can now use internally pipelined multipliers. Is it possible to optimise solution (b), using these multipliers? Describe how you would do this, and estimate how many clock cycles you would now need to complete the calculations. 6 This exam is printed on recycled paper made from 100% post-consumer waste pulp. De-inked without bleaching. Free from optical brightening agents.

7 (d) Without multipliers Make an implementation for the RGB-to-YUV conversion without multipliers. This exam is printed on recycled paper made from 100% post-consumer waste pulp. De-inked without bleaching. Free from optical brightening agents. 7

8 Question 3. Custom memory hierarchy (4 points) (a) One main memory Make a data use diagram (without reuse), with only 1 main memory. Indicate how big this memory is, how many data accesses there are (for a single iteration of i) and make an estimation of the energy use. Assume a main memory that is exactly as big as the different elements of matrix A, read by this perfect loop nest. for (i=0; i < 36; i++) for (j=0; j < 6; j++) for (k=0; k < 12; k++) for (l=0; l < 4; l++) for (m=0; m < 8; m++) B[i] += A[47*i + 4*k + m]; (b) Data reuse Find three different possibilities for data reuse and design a memory hierarchy for each of these possibilities. Make a data reuse diagram for each possibility. Indicate how big each memory is, how many data accesses there are and estimate the energy usage. Use the original code without additional loop transformations. 8 This exam is printed on recycled paper made from 100% post-consumer waste pulp. De-inked without bleaching. Free from optical brightening agents.

9 (c) Pareto Draw the four possible memory configurations on a Pareto curve. Make a trade-off between chip area and energy consumption. This exam is printed on recycled paper made from 100% post-consumer waste pulp. De-inked without bleaching. Free from optical brightening agents. 9

10 t3[c==1] Question 4. Multi functional cake machine (4 points) Cake machine S5 clock[a+b+c>0]/r=0 timeout[s2 & r==1]/t1 timeout[s2 & r==0]/r=1 S6 20 min. S1 t1[a!=1]/a-- S2 S8 3 min. timeout S7 12 min. S3 timeout S4 Clock 1 min. t3[c!=1]/c-- t2[b!=1]/b-- timeout/clock This StateChart describes a machine that produces 3 different cakes: Cake A is baked two times on a low temperature. Cake B is first baked on a low temperature and then on a high temperature. Cake C is baked first on a low temperature, then glazed and lastly baked on a high temperature. In addition to a clock, this StateChart has a part that describes the production process and a part that describes the control process. The amount of cakes is controlled by the variables A, B, and C, which represent the amount of cake A, cake B, and cake C that are to be made. (a) Identify S6, S7, and S8 Using the information given above, determine which of the different production steps, baking on a low temperature, baking on a high temperature and glazing, corresponds with S6, S7, and S8. 10 This exam is printed on recycled paper made from 100% post-consumer waste pulp. De-inked without bleaching. Free from optical brightening agents.

11 (b) Find the error The control part of the StateChart still contains an error that could block the system. Describe clearly in which situations this problem occurs and indicate how the StateChart should be changed to solve this problem. (c) Change the StateChart Make an alternative StateChart description, one that does not use an AND super state, except for the clock. In this simplified representation the control and production parts are merged. This exam is printed on recycled paper made from 100% post-consumer waste pulp. De-inked without bleaching. Free from optical brightening agents. 11

12 Question 5. Complex data accesses (4 points) Data is saved in a specific structure, indicated by matrix B[15][3]. The pseudo code on the left indicates how the function visit(int N) reads and adds up this data. int visit(int N) { if (B[N][0]!= -1) { return visit(b[n][0]) + visit(b[n][1]) + B[N][2]; } } else { return B[N][2]; } (a) Data accesses Indicate on matrix B in which order the data is read when visit(0) is called. You can use the space below for some additional explanations. (b) Data structure Which data structure can you recognise in this access pattern? Draw this data structure. 12 This exam is printed on recycled paper made from 100% post-consumer waste pulp. De-inked without bleaching. Free from optical brightening agents.

13 (c) Optimisation Optimise the locality of the data accesses to matrix B. Draw the improved data structure. This exam is printed on recycled paper made from 100% post-consumer waste pulp. De-inked without bleaching. Free from optical brightening agents. 13

International Journal of Scientific & Engineering Research, Volume 4, Issue 7, July-2013 ISSN

International Journal of Scientific & Engineering Research, Volume 4, Issue 7, July-2013 ISSN 2157 Automatic Color Form Dropout to Achieve Faster Document Processing Shital A. Dhanfule 1, Prashant N. Pusdekar 2, Vinaya V. Gohokar 3 1 PG, Student, Department of Electronics and Telecommunication

More information

Lecture 8-1 Vector Processors 2 A. Sohn

Lecture 8-1 Vector Processors 2 A. Sohn Lecture 8-1 Vector Processors Vector Processors How many iterations does the following loop go through? For i=1 to n do A[i] = B[i] + C[i] Sequential Processor: n times. Vector processor: 1 instruction!

More information

Document Processing for Automatic Color form Dropout

Document Processing for Automatic Color form Dropout Rochester Institute of Technology RIT Scholar Works Articles 12-7-2001 Document Processing for Automatic Color form Dropout Andreas E. Savakis Rochester Institute of Technology Christopher R. Brown Microwave

More information

Byte = More common: 8 bits = 1 byte Abbreviation:

Byte = More common: 8 bits = 1 byte Abbreviation: Text, Images, Video and Sound ASCII-7 In the early days, a was used, with of 0 s and 1 s, enough for a typical keyboard. The standard was developed by (American Standard Code for Information Interchange)

More information

Vector Arithmetic Logic Unit Amit Kumar Dutta JIS College of Engineering, Kalyani, WB, India

Vector Arithmetic Logic Unit Amit Kumar Dutta JIS College of Engineering, Kalyani, WB, India Vol. 2 Issue 2, December -23, pp: (75-8), Available online at: www.erpublications.com Vector Arithmetic Logic Unit Amit Kumar Dutta JIS College of Engineering, Kalyani, WB, India Abstract: Real time operation

More information

Mahendra Engineering College, Namakkal, Tamilnadu, India.

Mahendra Engineering College, Namakkal, Tamilnadu, India. Implementation of Modified Booth Algorithm for Parallel MAC Stephen 1, Ravikumar. M 2 1 PG Scholar, ME (VLSI DESIGN), 2 Assistant Professor, Department ECE Mahendra Engineering College, Namakkal, Tamilnadu,

More information

Modified Booth Encoding Multiplier for both Signed and Unsigned Radix Based Multi-Modulus Multiplier

Modified Booth Encoding Multiplier for both Signed and Unsigned Radix Based Multi-Modulus Multiplier Modified Booth Encoding Multiplier for both Signed and Unsigned Radix Based Multi-Modulus Multiplier M.Shiva Krushna M.Tech, VLSI Design, Holy Mary Institute of Technology And Science, Hyderabad, T.S,

More information

ANT Channel Search ABSTRACT

ANT Channel Search ABSTRACT ANT Channel Search ABSTRACT ANT channel search allows a device configured as a slave to find, and synchronize with, a specific master. This application note provides an overview of ANT channel establishment,

More information

clarity sorting solutions for paper, cardboard

clarity sorting solutions for paper, cardboard clarity sorting solutions for paper, cardboard TASK The purer a sorting fraction of waste paper is, the more specifically can it be fed back into paper production as a raw material. A decisive quality

More information

Sno Projects List IEEE. High - Throughput Finite Field Multipliers Using Redundant Basis For FPGA And ASIC Implementations

Sno Projects List IEEE. High - Throughput Finite Field Multipliers Using Redundant Basis For FPGA And ASIC Implementations Sno Projects List IEEE 1 High - Throughput Finite Field Multipliers Using Redundant Basis For FPGA And ASIC Implementations 2 A Generalized Algorithm And Reconfigurable Architecture For Efficient And Scalable

More information

LIST 04 Submission Date: 04/05/2017; Cut-off: 14/05/2017. Part 1 Theory. Figure 1: horizontal profile of the R, G and B components.

LIST 04 Submission Date: 04/05/2017; Cut-off: 14/05/2017. Part 1 Theory. Figure 1: horizontal profile of the R, G and B components. Universidade de Brasília (UnB) Faculdade de Tecnologia (FT) Departamento de Engenharia Elétrica (ENE) Course: Image Processing Prof. Mylène C.Q. de Farias Semester: 2017.1 LIST 04 Submission Date: 04/05/2017;

More information

A New High Speed Low Power Performance of 8- Bit Parallel Multiplier-Accumulator Using Modified Radix-2 Booth Encoded Algorithm

A New High Speed Low Power Performance of 8- Bit Parallel Multiplier-Accumulator Using Modified Radix-2 Booth Encoded Algorithm A New High Speed Low Power Performance of 8- Bit Parallel Multiplier-Accumulator Using Modified Radix-2 Booth Encoded Algorithm V.Sandeep Kumar Assistant Professor, Indur Institute Of Engineering & Technology,Siddipet

More information

Multiplier Design and Performance Estimation with Distributed Arithmetic Algorithm

Multiplier Design and Performance Estimation with Distributed Arithmetic Algorithm Multiplier Design and Performance Estimation with Distributed Arithmetic Algorithm M. Suhasini, K. Prabhu Kumar & P. Srinivas Department of Electronics & Comm. Engineering, Nimra College of Engineering

More information

Design and Characterization of 16 Bit Multiplier Accumulator Based on Radix-2 Modified Booth Algorithm

Design and Characterization of 16 Bit Multiplier Accumulator Based on Radix-2 Modified Booth Algorithm Design and Characterization of 16 Bit Multiplier Accumulator Based on Radix-2 Modified Booth Algorithm Vijay Dhar Maurya 1, Imran Ullah Khan 2 1 M.Tech Scholar, 2 Associate Professor (J), Department of

More information

COMPUTATIONAL PHOTOGRAPHY. Chapter 10

COMPUTATIONAL PHOTOGRAPHY. Chapter 10 1 COMPUTATIONAL PHOTOGRAPHY Chapter 10 Computa;onal photography Computa;onal photography: image analysis and processing algorithms are applied to one or more photographs to create images that go beyond

More information

An Efficient Design of Parallel Pipelined FFT Architecture

An Efficient Design of Parallel Pipelined FFT Architecture www.ijecs.in International Journal Of Engineering And Computer Science ISSN:2319-7242 Volume 3, Issue 10 October, 2014 Page No. 8926-8931 An Efficient Design of Parallel Pipelined FFT Architecture Serin

More information

Modified Design of High Speed Baugh Wooley Multiplier

Modified Design of High Speed Baugh Wooley Multiplier Modified Design of High Speed Baugh Wooley Multiplier 1 Yugvinder Dixit, 2 Amandeep Singh 1 Student, 2 Assistant Professor VLSI Design, Department of Electrical & Electronics Engineering, Lovely Professional

More information

Open Source Digital Camera on Field Programmable Gate Arrays

Open Source Digital Camera on Field Programmable Gate Arrays Open Source Digital Camera on Field Programmable Gate Arrays Cristinel Ababei, Shaun Duerr, Joe Ebel, Russell Marineau, Milad Ghorbani Moghaddam, and Tanzania Sewell Department of Electrical and Computer

More information

Assistant Lecturer Sama S. Samaan

Assistant Lecturer Sama S. Samaan MP3 Not only does MPEG define how video is compressed, but it also defines a standard for compressing audio. This standard can be used to compress the audio portion of a movie (in which case the MPEG standard

More information

Low Power VLSI CMOS Design. An Image Processing Chip for RGB to HSI Conversion

Low Power VLSI CMOS Design. An Image Processing Chip for RGB to HSI Conversion REPRINT FROM: PROC. OF IRISCH SIGNAL AND SYSTEM CONFERENCE, DERRY, NORTHERN IRELAND, PP.165-172. Low Power VLSI CMOS Design An Image Processing Chip for RGB to HSI Conversion A.Th. Schwarzbacher and J.B.

More information

B. Fowler R. Arps A. El Gamal D. Yang. Abstract

B. Fowler R. Arps A. El Gamal D. Yang. Abstract Quadtree Based JBIG Compression B. Fowler R. Arps A. El Gamal D. Yang ISL, Stanford University, Stanford, CA 94305-4055 ffowler,arps,abbas,dyangg@isl.stanford.edu Abstract A JBIG compliant, quadtree based,

More information

Introduction to Multimedia Computing

Introduction to Multimedia Computing COMP 319 Lecture 02 Introduction to Multimedia Computing Fiona Yan Liu Department of Computing The Hong Kong Polytechnic University Learning Outputs of Lecture 01 Introduction to multimedia technology

More information

Digitizing Color. Place Value in a Decimal Number. Place Value in a Binary Number. Chapter 11: Light, Sound, Magic: Representing Multimedia Digitally

Digitizing Color. Place Value in a Decimal Number. Place Value in a Binary Number. Chapter 11: Light, Sound, Magic: Representing Multimedia Digitally Chapter 11: Light, Sound, Magic: Representing Multimedia Digitally Fluency with Information Technology Third Edition by Lawrence Snyder Digitizing Color RGB Colors: Binary Representation Giving the intensities

More information

7/11/2012. Single Cycle (Review) CSE 2021: Computer Organization. Multi-Cycle Implementation. Single Cycle with Jump. Pipelining Analogy

7/11/2012. Single Cycle (Review) CSE 2021: Computer Organization. Multi-Cycle Implementation. Single Cycle with Jump. Pipelining Analogy CSE 2021: Computer Organization Single Cycle (Review) Lecture-10 CPU Design : Pipelining-1 Overview, Datapath and control Shakil M. Khan CSE-2021 July-12-2012 2 Single Cycle with Jump Multi-Cycle Implementation

More information

Digital Integrated CircuitDesign

Digital Integrated CircuitDesign Digital Integrated CircuitDesign Lecture 13 Building Blocks (Multipliers) Register Adder Shift Register Adib Abrishamifar EE Department IUST Acknowledgement This lecture note has been summarized and categorized

More information

from: Point Operations (Single Operands)

from:  Point Operations (Single Operands) from: http://www.khoral.com/contrib/contrib/dip2001 Point Operations (Single Operands) Histogram Equalization Histogram equalization is as a contrast enhancement technique with the objective to obtain

More information

IJCSIET--International Journal of Computer Science information and Engg., Technologies ISSN

IJCSIET--International Journal of Computer Science information and Engg., Technologies ISSN An efficient add multiplier operator design using modified Booth recoder 1 I.K.RAMANI, 2 V L N PHANI PONNAPALLI 2 Assistant Professor 1,2 PYDAH COLLEGE OF ENGINEERING & TECHNOLOGY, Visakhapatnam,AP, India.

More information

5/17/2009. Digitizing Color. Place Value in a Binary Number. Place Value in a Decimal Number. Place Value in a Binary Number

5/17/2009. Digitizing Color. Place Value in a Binary Number. Place Value in a Decimal Number. Place Value in a Binary Number Chapter 11: Light, Sound, Magic: Representing Multimedia Digitally Digitizing Color Fluency with Information Technology Third Edition by Lawrence Snyder RGB Colors: Binary Representation Giving the intensities

More information

Power-conscious High Level Synthesis Using Loop Folding

Power-conscious High Level Synthesis Using Loop Folding Power-conscious High Level Synthesis Using Loop Folding Daehong Kim Kiyoung Choi School of Electrical Engineering Seoul National University, Seoul, Korea, 151-742 E-mail: daehong@poppy.snu.ac.kr Abstract

More information

Open Source Digital Camera on Field Programmable Gate Arrays

Open Source Digital Camera on Field Programmable Gate Arrays Open Source Digital Camera on Field Programmable Gate Arrays Cristinel Ababei, Shaun Duerr, Joe Ebel, Russell Marineau, Milad Ghorbani Moghaddam, and Tanzania Sewell Dept. of Electrical and Computer Engineering,

More information

DIGITAL SIGNAL PROCESSOR WITH EFFICIENT RGB INTERPOLATION AND HISTOGRAM ACCUMULATION

DIGITAL SIGNAL PROCESSOR WITH EFFICIENT RGB INTERPOLATION AND HISTOGRAM ACCUMULATION Kim et al.: Digital Signal Processor with Efficient RGB Interpolation and Histogram Accumulation 1389 DIGITAL SIGNAL PROCESSOR WITH EFFICIENT RGB INTERPOLATION AND HISTOGRAM ACCUMULATION Hansoo Kim, Joung-Youn

More information

International Journal of Scientific & Engineering Research Volume 3, Issue 12, December ISSN

International Journal of Scientific & Engineering Research Volume 3, Issue 12, December ISSN International Journal of Scientific & Engineering Research Volume 3, Issue 12, December-2012 1 Optimized Design and Implementation of an Iterative Logarithmic Signed Multiplier Sanjeev kumar Patel, Vinod

More information

ECOM 4311 Digital System Design using VHDL. Chapter 9 Sequential Circuit Design: Practice

ECOM 4311 Digital System Design using VHDL. Chapter 9 Sequential Circuit Design: Practice ECOM 4311 Digital System Design using VHDL Chapter 9 Sequential Circuit Design: Practice Outline 1. Poor design practice and remedy 2. More counters 3. Register as fast temporary storage 4. Pipelined circuit

More information

Lecture 9: Digital Images

Lecture 9: Digital Images Lecture 9: Digital Images The Digital World of Multimedia Prof. Mari Ostendorf Announcements Guest lecture Friday Feb 1 (EEB 403, tentatively) A cultural history of JPEG Dr. Joan Mitchell Another lecture

More information

Hybrid Coding (JPEG) Image Color Transform Preparation

Hybrid Coding (JPEG) Image Color Transform Preparation Hybrid Coding (JPEG) 5/31/2007 Kompressionsverfahren: JPEG 1 Image Color Transform Preparation Example 4: 2: 2 YUV, 4: 1: 1 YUV, and YUV9 Coding Luminance (Y): brightness sampling frequency 13.5 MHz Chrominance

More information

Image Compression and its implementation in real life

Image Compression and its implementation in real life Image Compression and its implementation in real life Shreyansh Tripathi, Vedant Bonde, Yatharth Rai Roll No. 11741, 11743, 11745 Cluster Innovation Centre University of Delhi Delhi 117 1 Declaration by

More information

Lecture 8. Color Image Processing

Lecture 8. Color Image Processing Lecture 8. Color Image Processing EL512 Image Processing Dr. Zhu Liu zliu@research.att.com Note: Part of the materials in the slides are from Gonzalez s Digital Image Processing and Onur s lecture slides

More information

WJEC LEVEL 2 CERTIFICATE 9550/01 ADDITIONAL MATHEMATICS

WJEC LEVEL 2 CERTIFICATE 9550/01 ADDITIONAL MATHEMATICS Surname Centre Number Candidate Number Other Names 0 WJEC LEVEL 2 CERTIFICATE 9550/01 ADDITIONAL MATHEMATICS A.M. TUESDAY, 21 June 2016 2 hours 30 minutes S16-9550-01 For s use ADDITIONAL MATERIALS A calculator

More information

LSM 710 Confocal Microscope Standard Operation Protocol

LSM 710 Confocal Microscope Standard Operation Protocol LSM 710 Confocal Microscope Standard Operation Protocol Basic Operation Turning on the system 1. Switch on Main power switch 2. Switch on System / PC power button 3. Switch on Components power button 4.

More information

Digital Image Processing Color Models &Processing

Digital Image Processing Color Models &Processing Digital Image Processing Color Models &Processing Dr. Hatem Elaydi Electrical Engineering Department Islamic University of Gaza Fall 2015 Nov 16, 2015 Color interpretation Color spectrum vs. electromagnetic

More information

Project 5: Optimizer Jason Ansel

Project 5: Optimizer Jason Ansel Project 5: Optimizer Jason Ansel Overview Project guidelines Benchmarking Library OoO CPUs Project Guidelines Use optimizations from lectures as your arsenal If you decide to implement one, look at Whale

More information

Digital Media. Lecture 4: Bitmapped images: Compression & Convolution Georgia Gwinnett College School of Science and Technology Dr.

Digital Media. Lecture 4: Bitmapped images: Compression & Convolution Georgia Gwinnett College School of Science and Technology Dr. Digital Media Lecture 4: Bitmapped images: Compression & Convolution Georgia Gwinnett College School of Science and Technology Dr. Mark Iken Bitmapped image compression Consider this image: With no compression...

More information

A High Definition Motion JPEG Encoder Based on Epuma Platform

A High Definition Motion JPEG Encoder Based on Epuma Platform Available online at www.sciencedirect.com Procedia Engineering 29 (2012) 2371 2375 2012 International Workshop on Information and Electronics Engineering (IWIEE) A High Definition Motion JPEG Encoder Based

More information

Colors in Images & Video

Colors in Images & Video LECTURE 8 Colors in Images & Video CS 5513 Multimedia Systems Spring 2009 Imran Ihsan Principal Design Consultant OPUSVII www.opuseven.com Faculty of Engineering & Applied Sciences 1. Light and Spectra

More information

CMVision and Color Segmentation. CSE398/498 Robocup 19 Jan 05

CMVision and Color Segmentation. CSE398/498 Robocup 19 Jan 05 CMVision and Color Segmentation CSE398/498 Robocup 19 Jan 05 Announcements Please send me your time availability for working in the lab during the M-F, 8AM-8PM time period Why Color Segmentation? Computationally

More information

Implementation of a Visible Watermarking in a Secure Still Digital Camera Using VLSI Design

Implementation of a Visible Watermarking in a Secure Still Digital Camera Using VLSI Design 2009 nternational Symposium on Computing, Communication, and Control (SCCC 2009) Proc.of CST vol.1 (2011) (2011) ACST Press, Singapore mplementation of a Visible Watermarking in a Secure Still Digital

More information

HIGH PERFORMANCE BAUGH WOOLEY MULTIPLIER USING CARRY SKIP ADDER STRUCTURE

HIGH PERFORMANCE BAUGH WOOLEY MULTIPLIER USING CARRY SKIP ADDER STRUCTURE HIGH PERFORMANCE BAUGH WOOLEY MULTIPLIER USING CARRY SKIP ADDER STRUCTURE R.ARUN SEKAR 1 B.GOPINATH 2 1Department Of Electronics And Communication Engineering, Assistant Professor, SNS College Of Technology,

More information

Camera Functionality in Modern Mobile Terminals

Camera Functionality in Modern Mobile Terminals Camera Functionality in Modern Mobile Terminals - Software FIR filter for demosaicing with RISC - Masters Thesis in Information and Communication Technology Submitted to Agder University College Faculty

More information

Midterm Exam ECE 448 Spring Thursday Section. (15 points)

Midterm Exam ECE 448 Spring Thursday Section. (15 points) Midterm Exam ECE 448 Spring 2012 (15 points) Instructions: Zip all your deliverables into an archive .zip and submit it through Blackboard no later than Thursday, March 8, 10:15 PM EST. 1 Introduction:

More information

COMPARISION OF LOW POWER AND DELAY USING BAUGH WOOLEY AND WALLACE TREE MULTIPLIERS

COMPARISION OF LOW POWER AND DELAY USING BAUGH WOOLEY AND WALLACE TREE MULTIPLIERS COMPARISION OF LOW POWER AND DELAY USING BAUGH WOOLEY AND WALLACE TREE MULTIPLIERS ( 1 Dr.V.Malleswara rao, 2 K.V.Ganesh, 3 P.Pavan Kumar) 1 Professor &HOD of ECE,GITAM University,Visakhapatnam. 2 Ph.D

More information

DIGITAL SIGNAL PROCESSING WITH VHDL

DIGITAL SIGNAL PROCESSING WITH VHDL DIGITAL SIGNAL PROCESSING WITH VHDL GET HANDS-ON FROM THEORY TO PRACTICE IN 6 DAYS MODEL WITH SCILAB, BUILD WITH VHDL NUMEROUS MODELLING & SIMULATIONS DIRECTLY DESIGN DSP HARDWARE Brought to you by: Copyright(c)

More information

Image and video processing (EBU723U) Colour Images. Dr. Yi-Zhe Song

Image and video processing (EBU723U) Colour Images. Dr. Yi-Zhe Song Image and video processing () Colour Images Dr. Yi-Zhe Song yizhe.song@qmul.ac.uk Today s agenda Colour spaces Colour images PGM/PPM images Today s agenda Colour spaces Colour images PGM/PPM images History

More information

Direction-Adaptive Partitioned Block Transform for Color Image Coding

Direction-Adaptive Partitioned Block Transform for Color Image Coding Direction-Adaptive Partitioned Block Transform for Color Image Coding Mina Makar, Sam Tsai Final Project, EE 98, Stanford University Abstract - In this report, we investigate the application of Direction

More information

Design of FIR Filter Using Modified Montgomery Multiplier with Pipelining Technique

Design of FIR Filter Using Modified Montgomery Multiplier with Pipelining Technique International Journal of Engineering Research and Development e-issn: 2278-067X, p-issn: 2278-800X, www.ijerd.com Volume 10, Issue 3 (March 2014), PP.55-63 Design of FIR Filter Using Modified Montgomery

More information

Pipelined Processor Design

Pipelined Processor Design Pipelined Processor Design COE 38 Computer Architecture Prof. Muhamed Mudawar Computer Engineering Department King Fahd University of Petroleum and Minerals Presentation Outline Pipelining versus Serial

More information

A Novel High Performance 64-bit MAC Unit with Modified Wallace Tree Multiplier

A Novel High Performance 64-bit MAC Unit with Modified Wallace Tree Multiplier Proceedings of International Conference on Emerging Trends in Engineering & Technology (ICETET) 29th - 30 th September, 2014 Warangal, Telangana, India (SF0EC024) ISSN (online): 2349-0020 A Novel High

More information

Dr. Shahanawaj Ahamad. Dr. S.Ahamad, SWE-423, Unit-06

Dr. Shahanawaj Ahamad. Dr. S.Ahamad, SWE-423, Unit-06 Dr. Shahanawaj Ahamad 1 Outline: Basic concepts underlying Images Popular Image File formats Human perception of color Various Color Models in use and the idea behind them 2 Pixels -- picture elements

More information

Multimedia Systems Color Space Mahdi Amiri March 2012 Sharif University of Technology

Multimedia Systems Color Space Mahdi Amiri March 2012 Sharif University of Technology Course Presentation Multimedia Systems Color Space Mahdi Amiri March 2012 Sharif University of Technology Physics of Color Light Light or visible light is the portion of electromagnetic radiation that

More information

Some material adapted from Mohamed Younis, UMBC CMSC 611 Spr 2003 course slides Some material adapted from Hennessy & Patterson / 2003 Elsevier

Some material adapted from Mohamed Younis, UMBC CMSC 611 Spr 2003 course slides Some material adapted from Hennessy & Patterson / 2003 Elsevier Some material adapted from Mohamed Younis, UMBC CMSC 611 Spr 2003 course slides Some material adapted from Hennessy & Patterson / 2003 Elsevier Science !!! Basic MIPS integer pipeline Branches with one

More information

Camera Image Processing Pipeline: Part II

Camera Image Processing Pipeline: Part II Lecture 14: Camera Image Processing Pipeline: Part II Visual Computing Systems Today Finish image processing pipeline Auto-focus / auto-exposure Camera processing elements Smart phone processing elements

More information

MULTIMEDIA SYSTEMS

MULTIMEDIA SYSTEMS 1 Department of Computer Engineering, g, Faculty of Engineering King Mongkut s Institute of Technology Ladkrabang 01076531 MULTIMEDIA SYSTEMS Pakorn Watanachaturaporn, Ph.D. pakorn@live.kmitl.ac.th, pwatanac@gmail.com

More information

Chapter 4. Pipelining Analogy. The Processor. Pipelined laundry: overlapping execution. Parallelism improves performance. Four loads: Non-stop:

Chapter 4. Pipelining Analogy. The Processor. Pipelined laundry: overlapping execution. Parallelism improves performance. Four loads: Non-stop: Chapter 4 The Processor Part II Pipelining Analogy Pipelined laundry: overlapping execution Parallelism improves performance Four loads: Speedup = 8/3.5 = 2.3 Non-stop: Speedup p = 2n/(0.5n + 1.5) 4 =

More information

Computer Programming

Computer Programming Computer Programming Dr. Deepak B Phatak Dr. Supratik Chakraborty Department of Computer Science and Engineering Session: Digital Images and Histograms Dr. Deepak B. Phatak & Dr. Supratik Chakraborty,

More information

Cvision 2. António J. R. Neves João Paulo Silva Cunha. Bernardo Cunha. IEETA / Universidade de Aveiro

Cvision 2. António J. R. Neves João Paulo Silva Cunha. Bernardo Cunha. IEETA / Universidade de Aveiro Cvision 2 Digital Imaging António J. R. Neves (an@ua.pt) & João Paulo Silva Cunha & Bernardo Cunha IEETA / Universidade de Aveiro Outline Image sensors Camera calibration Sampling and quantization Data

More information

Image processing with the HERON-FPGA Family

Image processing with the HERON-FPGA Family HUNT ENGINEERING Chestnut Court, Burton Row, Brent Knoll, Somerset, TA9 4BP, UK Tel: (+44) (0)1278 760188, Fax: (+44) (0)1278 760199, Email: sales@hunteng.co.uk http://www.hunteng.co.uk http://www.hunt-dsp.com

More information

Name TRAINING LAB - CLASSIFYING FINGERPRINTS

Name TRAINING LAB - CLASSIFYING FINGERPRINTS TRAINING LAB - CLASSIFYING FINGERPRINTS Name Background: You have some things that are yours and yours alone - and NO ONE else on earth has anything exactly like it! They are your fingerprints. Everyone

More information

Image Perception & 2D Images

Image Perception & 2D Images Image Perception & 2D Images Vision is a matter of perception. Perception is a matter of vision. ES Overview Introduction to ES 2D Graphics in Entertainment Systems Sound, Speech & Music 3D Graphics in

More information

Comparison of Conventional Multiplier with Bypass Zero Multiplier

Comparison of Conventional Multiplier with Bypass Zero Multiplier Comparison of Conventional Multiplier with Bypass Zero Multiplier 1 alyani Chetan umar, 2 Shrikant Deshmukh, 3 Prashant Gupta. M.tech VLSI Student SENSE Department, VIT University, Vellore, India. 632014.

More information

A HIGH SPEED FFT/IFFT PROCESSOR FOR MIMO OFDM SYSTEMS

A HIGH SPEED FFT/IFFT PROCESSOR FOR MIMO OFDM SYSTEMS A HIGH SPEED FFT/IFFT PROCESSOR FOR MIMO OFDM SYSTEMS Ms. P. P. Neethu Raj PG Scholar, Electronics and Communication Engineering, Vivekanadha College of Engineering for Women, Tiruchengode, Tamilnadu,

More information

Instruction Level Parallelism Part II - Scoreboard

Instruction Level Parallelism Part II - Scoreboard Course on: Advanced Computer Architectures Instruction Level Parallelism Part II - Scoreboard Prof. Cristina Silvano Politecnico di Milano email: cristina.silvano@polimi.it 1 Basic Assumptions We consider

More information

The speed and quality you need for high volume scanning

The speed and quality you need for high volume scanning DR-7580 DR-9080C High Speed Production Scanner The speed and quality you need for high volume scanning DR-7580 / DR-9080C Ultra efficient production scanning Handle the toughest scanning tasks with ease,

More information

IMAGES AND COLOR. N. C. State University. CSC557 Multimedia Computing and Networking. Fall Lecture # 10

IMAGES AND COLOR. N. C. State University. CSC557 Multimedia Computing and Networking. Fall Lecture # 10 IMAGES AND COLOR N. C. State University CSC557 Multimedia Computing and Networking Fall 2001 Lecture # 10 IMAGES AND COLOR N. C. State University CSC557 Multimedia Computing and Networking Fall 2001 Lecture

More information

Color. Used heavily in human vision. Color is a pixel property, making some recognition problems easy

Color. Used heavily in human vision. Color is a pixel property, making some recognition problems easy Color Used heavily in human vision Color is a pixel property, making some recognition problems easy Visible spectrum for humans is 400 nm (blue) to 700 nm (red) Machines can see much more; ex. X-rays,

More information

INTERNATIONAL JOURNAL OF PURE AND APPLIED RESEARCH IN ENGINEERING AND TECHNOLOGY

INTERNATIONAL JOURNAL OF PURE AND APPLIED RESEARCH IN ENGINEERING AND TECHNOLOGY INTERNATIONAL JOURNAL OF PURE AND APPLIED RESEARCH IN ENGINEERING AND TECHNOLOGY A PATH FOR HORIZING YOUR INNOVATIVE WORK SPECIAL ISSUE FOR NATIONAL LEVEL CONFERENCE "RENEWABLE ENERGY RESOURCES & IT S

More information

Computer Arithmetic (2)

Computer Arithmetic (2) Computer Arithmetic () Arithmetic Units How do we carry out,,, in FPGA? How do we perform sin, cos, e, etc? ELEC816/ELEC61 Spring 1 Hayden Kwok-Hay So H. So, Sp1 Lecture 7 - ELEC816/61 Addition Two ve

More information

Camera Image Processing Pipeline: Part II

Camera Image Processing Pipeline: Part II Lecture 13: Camera Image Processing Pipeline: Part II Visual Computing Systems Today Finish image processing pipeline Auto-focus / auto-exposure Camera processing elements Smart phone processing elements

More information

ACHIEVING AREA EFFICIENT PARALLEL FIR DIGITAL FILTER STRUCTURES FOR SYMMETRIC CONVOLUTIONS USING VLSI IMPLEMENTATION

ACHIEVING AREA EFFICIENT PARALLEL FIR DIGITAL FILTER STRUCTURES FOR SYMMETRIC CONVOLUTIONS USING VLSI IMPLEMENTATION Asian Journal of Engineering and Applied Technology (AJEAT) Vol.2.No.1 2014pp 18-22. available at: www.goniv.com Paper Received :05-03-2014 Paper Published:28-03-2014 Paper Reviewed by: 1. John Arhter

More information

JDT LOW POWER FIR FILTER ARCHITECTURE USING ACCUMULATOR BASED RADIX-2 MULTIPLIER

JDT LOW POWER FIR FILTER ARCHITECTURE USING ACCUMULATOR BASED RADIX-2 MULTIPLIER JDT-003-2013 LOW POWER FIR FILTER ARCHITECTURE USING ACCUMULATOR BASED RADIX-2 MULTIPLIER 1 Geetha.R, II M Tech, 2 Mrs.P.Thamarai, 3 Dr.T.V.Kirankumar 1 Dept of ECE, Bharath Institute of Science and Technology

More information

Supplementary Figures

Supplementary Figures Supplementary Figures Supplementary Figure 1. The schematic of the perceptron. Here m is the index of a pixel of an input pattern and can be defined from 1 to 320, j represents the number of the output

More information

Design of Baugh Wooley Multiplier with Adaptive Hold Logic. M.Kavia, V.Meenakshi

Design of Baugh Wooley Multiplier with Adaptive Hold Logic. M.Kavia, V.Meenakshi International Journal of Scientific & Engineering Research, Volume 6, Issue 4, April-2015 105 Design of Baugh Wooley Multiplier with Adaptive Hold Logic M.Kavia, V.Meenakshi Abstract Mostly, the overall

More information

Algebra/Geometry Session Problems Questions 1-20 multiple choice

Algebra/Geometry Session Problems Questions 1-20 multiple choice lgebra/geometry Session Problems Questions 1-0 multiple choice nswer only one choice: (a), (b), (c), (d), or (e) for each of the following questions. Only use a number pencil. Make heavy black marks that

More information

Unit 3. Logic Design

Unit 3. Logic Design EE 2: Digital Logic Circuit Design Dr Radwan E Abdel-Aal, COE Logic and Computer Design Fundamentals Unit 3 Chapter Combinational 3 Combinational Logic Logic Design - Introduction to Analysis & Design

More information

CHAPTER 5 DESIGN OF COMBINATIONAL LOGIC CIRCUITS IN QCA

CHAPTER 5 DESIGN OF COMBINATIONAL LOGIC CIRCUITS IN QCA 90 CHAPTER 5 DESIGN OF COMBINATIONAL LOGIC CIRCUITS IN QCA 5.1 INTRODUCTION A combinational circuit consists of logic gates whose outputs at any time are determined directly from the present combination

More information

DSP Design Lecture 1. Introduction and DSP Basics. Fredrik Edman, PhD

DSP Design Lecture 1. Introduction and DSP Basics. Fredrik Edman, PhD DSP Design Lecture 1 Introduction and DSP Basics Fredrik Edman, PhD fredrik.edman@eit.lth.se Lecturers Fredrik Edman (course responsible) Mail: fredrik.edman@eit.lth.se Room E:2538 Mojtaba Mahdavi (exercises

More information

CS101 Lecture 12: Digital Images. What You ll Learn Today

CS101 Lecture 12: Digital Images. What You ll Learn Today CS101 Lecture 12: Digital Images Sampling and Quantizing Using bits to Represent Colors and Images Aaron Stevens (azs@bu.edu) 20 February 2013 What You ll Learn Today What is digital information? How to

More information

Digital Photographs and Matrices

Digital Photographs and Matrices Digital Photographs and Matrices Digital Photographs Color Model for 24-bit Visualization of Matrix Addition Visualization of Matrix Scalar Multiplication Color Separation Illustration Decoding with a

More information

Color Image Processing

Color Image Processing Color Image Processing Selim Aksoy Department of Computer Engineering Bilkent University saksoy@cs.bilkent.edu.tr Color Used heavily in human vision. Visible spectrum for humans is 400 nm (blue) to 700

More information

High Speed Vedic Multiplier Designs Using Novel Carry Select Adder

High Speed Vedic Multiplier Designs Using Novel Carry Select Adder High Speed Vedic Multiplier Designs Using Novel Carry Select Adder 1 chintakrindi Saikumar & 2 sk.sahir 1 (M.Tech) VLSI, Dept. of ECE Priyadarshini Institute of Technology & Management 2 Associate Professor,

More information

REVOLUTIONIZING THE COMPUTING LANDSCAPE AND BEYOND.

REVOLUTIONIZING THE COMPUTING LANDSCAPE AND BEYOND. December 3-6, 2018 Santa Clara Convention Center CA, USA REVOLUTIONIZING THE COMPUTING LANDSCAPE AND BEYOND. https://tmt.knect365.com/risc-v-summit @risc_v ACCELERATING INFERENCING ON THE EDGE WITH RISC-V

More information

OV7670 Software Application Note

OV7670 Software Application Note OV7670 Software Application Note Table of Contents OV7670 Software Application Note... 1 1. Select Output format...3 1.1 Backend with full ISP... 3 1.2 Backend with YCbCr ISP... 4 1.3 Backend without ISP...4

More information

EECS150 - Digital Design Lecture 28 Course Wrap Up. Recap 1

EECS150 - Digital Design Lecture 28 Course Wrap Up. Recap 1 EECS150 - Digital Design Lecture 28 Course Wrap Up Dec. 5, 2013 Prof. Ronald Fearing Electrical Engineering and Computer Sciences University of California, Berkeley (slides courtesy of Prof. John Wawrzynek)

More information

YIQ color model. Used in United States commercial TV broadcasting (NTSC system).

YIQ color model. Used in United States commercial TV broadcasting (NTSC system). CMY color model Each color is represented by the three secondary colors --- cyan (C), magenta (M), and yellow (Y ). It is mainly used in devices such as color printers that deposit color pigments. It is

More information

Module 6 STILL IMAGE COMPRESSION STANDARDS

Module 6 STILL IMAGE COMPRESSION STANDARDS Module 6 STILL IMAGE COMPRESSION STANDARDS Lesson 16 Still Image Compression Standards: JBIG and JPEG Instructional Objectives At the end of this lesson, the students should be able to: 1. Explain the

More information

Rotation of Coordinates With Given Angle And To Calculate Sine/Cosine Using Cordic Algorithm

Rotation of Coordinates With Given Angle And To Calculate Sine/Cosine Using Cordic Algorithm Rotation of Coordinates With Given Angle And To Calculate Sine/Cosine Using Cordic Algorithm A. Ramya Bharathi, M.Tech Student, GITAM University Hyderabad ABSTRACT This year, 2015 make CORDIC (COordinate

More information

4/9/2015. Simple Graphics and Image Processing. Simple Graphics. Overview of Turtle Graphics (continued) Overview of Turtle Graphics

4/9/2015. Simple Graphics and Image Processing. Simple Graphics. Overview of Turtle Graphics (continued) Overview of Turtle Graphics Simple Graphics and Image Processing The Plan For Today Website Updates Intro to Python Quiz Corrections Missing Assignments Graphics and Images Simple Graphics Turtle Graphics Image Processing Assignment

More information

Chapter 3 Novel Digital-to-Analog Converter with Gamma Correction for On-Panel Data Driver

Chapter 3 Novel Digital-to-Analog Converter with Gamma Correction for On-Panel Data Driver Chapter 3 Novel Digital-to-Analog Converter with Gamma Correction for On-Panel Data Driver 3.1 INTRODUCTION As last chapter description, we know that there is a nonlinearity relationship between luminance

More information

Interconnect-Power Dissipation in a Microprocessor

Interconnect-Power Dissipation in a Microprocessor 4/2/2004 Interconnect-Power Dissipation in a Microprocessor N. Magen, A. Kolodny, U. Weiser, N. Shamir Intel corporation Technion - Israel Institute of Technology 4/2/2004 2 Interconnect-Power Definition

More information

Digital Signal Processing for Analog Input

Digital Signal Processing for Analog Input Digital Signal Processing for Analog Input Arnav Agharwal Saurabh Gupta April 25, 2009 1 Algorithm Details Design Specification Fast Fourier Transform uses the following recursive formulae X k = N 2 1

More information

Compiler Optimisation

Compiler Optimisation Compiler Optimisation 6 Instruction Scheduling Hugh Leather IF 1.18a hleather@inf.ed.ac.uk Institute for Computing Systems Architecture School of Informatics University of Edinburgh 2018 Introduction This

More information

35 CP JPEG-LS Planar Configuration constraints conflict with WSI, US, VL, Enhanced Color MR and Page 1 36 compressed RGB images

35 CP JPEG-LS Planar Configuration constraints conflict with WSI, US, VL, Enhanced Color MR and Page 1 36 compressed RGB images 35 CP-1843 - JPEG-LS Planar Configuration constraints conflict with WSI, US, VL, Enhanced Color MR and Page 1 36 compressed RGB images 1 Status Jan 2019 Voting Packet 2 Date of Last Update 2018/11/12 3

More information