"Lessons in Electric Circuits, Volume IV -- Digital"

Total Page:16

File Type:pdf, Size:1020Kb

Fourth Edition, last update November 01, 2007 2 Lessons In Electric Circuits, Volume IV – Digital By Tony R. Kuphaldt Fourth Edition, last update November 01, 2007 i c 2000-2011, Tony R. Kuphaldt This book is published under the terms and conditions of the Design Science License. These terms and conditions allow for free copying, distribution, and/or modification of this document by the general public. The full Design Science License text is included in the last chapter. As an open and collaboratively developed text, this book is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the Design Science License for more details. Available in its entirety as part of the Open Book Project collection at: openbookproject.net/electricCircuits PRINTING HISTORY • First Edition: Printed in June of 2000. Plain-ASCII illustrations for universal computer readability. • Second Edition: Printed in September of 2000. Illustrations reworked in standard graphic (eps and jpeg) format. Source files translated to Texinfo format for easy online and printed publication. • Third Edition: Printed in February 2001. Source files translated to SubML format. SubML is a simple markup language designed to easily convert to other markups like LATEX, HTML, or DocBook using nothing but search-and-replace substitutions. • Fourth Edition: Printed in March 2002. Additions and improvements to 3rd edition. ii Contents 1 NUMERATION SYSTEMS 1 1.1 Numbers and symbols .................................. 1 1.2 Systems of numeration .................................. 6 1.3 Decimal versus binary numeration ........................... 8 1.4 Octal and hexadecimal numeration .......................... 10 1.5 Octal and hexadecimal to decimal conversion ..................... 12 1.6 Conversion from decimal numeration ......................... 13 2 BINARY ARITHMETIC 19 2.1 Numbers versus numeration .............................. 19 2.2 Binary addition ...................................... 20 2.3 Negative binary numbers ................................ 20 2.4 Subtraction ........................................ 23 2.5 Overflow .......................................... 25 2.6 Bit groupings ....................................... 27 3 LOGIC GATES 29 3.1 Digital signals and gates ................................ 30 3.2 The NOT gate ....................................... 33 3.3 The ”buffer” gate ..................................... 45 3.4 Multiple-input gates ................................... 48 3.5 TTL NAND and AND gates ............................... 60 3.6 TTL NOR and OR gates ................................. 65 3.7 CMOS gate circuitry ................................... 68 3.8 Special-output gates ................................... 81 3.9 Gate universality ..................................... 85 3.10 Logic signal voltage levels ................................ 90 3.11 DIP gate packaging .................................... 100 3.12 Contributors ........................................ 102 4 SWITCHES 103 4.1 Switch types ........................................ 103 4.2 Switch contact design .................................. 108 4.3 Contact ”normal” state and make/break sequence .................. 111 iii iv CONTENTS 4.4 Contact ”bounce” ..................................... 116 5 ELECTROMECHANICAL RELAYS 119 5.1 Relay construction .................................... 119 5.2 Contactors ......................................... 122 5.3 Time-delay relays ..................................... 126 5.4 Protective relays ..................................... 132 5.5 Solid-state relays ..................................... 133 6 LADDER LOGIC 135 6.1 ”Ladder” diagrams .................................... 135 6.2 Digital logic functions .................................. 139 6.3 Permissive and interlock circuits ............................ 144 6.4 Motor control circuits .................................. 147 6.5 Fail-safe design ...................................... 150 6.6 Programmable logic controllers ............................. 154 6.7 Contributors ........................................ 171 7 BOOLEAN ALGEBRA 173 7.1 Introduction ........................................ 173 7.2 Boolean arithmetic .................................... 175 7.3 Boolean algebraic identities ............................... 178 7.4 Boolean algebraic properties .............................. 181 7.5 Boolean rules for simplification ............................. 184 7.6 Circuit simplification examples ............................. 187 7.7 The Exclusive-OR function ............................... 192 7.8 DeMorgan’s Theorems .................................. 193 7.9 Converting truth tables into Boolean expressions .................. 200 8 KARNAUGH MAPPING 219 8.1 Introduction ........................................ 219 8.2 Venn diagrams and sets ................................. 220 8.3 Boolean Relationships on Venn Diagrams ....................... 223 8.4 Making a Venn diagram look like a Karnaugh map ................. 228 8.5 Karnaugh maps, truth tables, and Boolean expressions ............... 231 8.6 Logic simplification with Karnaugh maps ....................... 238 8.7 Larger 4-variable Karnaugh maps ........................... 245 8.8 Minterm vs maxterm solution ............................. 249 8.9 Σ (sum) and Π (product) notation ............................ 261 8.10 Don’t care cells in the Karnaugh map ......................... 262 8.11 Larger 5 & 6-variable Karnaugh maps ........................ 265 9 COMBINATIONAL LOGIC FUNCTIONS 273 9.1 Introduction ........................................ 273 9.2 A Half-Adder ....................................... 274 9.3 A Full-Adder ....................................... 275 CONTENTS v 9.4 Decoder .......................................... 282 9.5 Encoder .......................................... 286 9.6 Demultiplexers ...................................... 289 9.7 Multiplexers ........................................ 293 9.8 Using multiple combinational circuits ......................... 294 10 MULTIVIBRATORS 299 10.1 Digital logic with feedback ............................... 299 10.2 The S-R latch ....................................... 303 10.3 The gated S-R latch ................................... 307 10.4 The D latch ........................................ 308 10.5 Edge-triggered latches: Flip-Flops ........................... 310 10.6 The J-K flip-flop ...................................... 315 10.7 Asynchronous flip-flop inputs .............................. 317 10.8 Monostable multivibrators ............................... 319 11 SEQUENTIAL CIRCUITSCOUNTERS 323 11.1 Binary count sequence .................................. 323 11.2 Asynchronous counters ................................. 325 11.3 Synchronous counters .................................. 332 11.4 Counter modulus ..................................... 338 11.5 Finite State Machines .................................. 338 Bibliography ........................................... 347 12 SHIFT REGISTERS 349 12.1 Introduction ........................................ 349 12.2 Serial-in/serial-out shift register ............................ 352 12.3 Parallel-in, serial-out shift register ........................... 361 12.4 Serial-in, parallel-out shift register .......................... 372 12.5 Parallel-in, parallel-out, universal shift register ................... 381 12.6 Ring counters ....................................... 392 12.7 references ......................................... 405 13 DIGITAL-ANALOG CONVERSION 407 13.1 Introduction ........................................ 407 13.2 The R/2nR DAC ...................................... 409 13.3 The R/2R DAC ...................................... 412 13.4 Flash ADC ......................................... 414 13.5 Digital ramp ADC .................................... 417 13.6 Successive approximation ADC ............................. 419 13.7 Tracking ADC ....................................... 421 13.8 Slope (integrating) ADC ................................. 422 13.9 Delta-Sigma (∆Σ) ADC ................................. 425 13.10Practical considerations of ADC circuits ........................ 427 vi CONTENTS 14 DIGITAL COMMUNICATION 433 14.1 Introduction ........................................ 433 14.2 Networks and busses ................................... 437 14.3 Data flow .......................................... 441 14.4 Electrical signal types .................................. 442 14.5 Optical data communication .............................. 446 14.6 Network topology ..................................... 448 14.7 Network protocols .................................... 450 14.8 Practical considerations ................................. 453 15 DIGITAL STORAGE (MEMORY) 455 15.1 Why digital? ........................................ 455 15.2 Digital memory terms and concepts .......................... 456 15.3 Modern nonmechanical memory ............................ 458 15.4 Historical, nonmechanical memory technologies ................... 460 15.5 Read-only memory .................................... 466 15.6 Memory with moving parts: ”Drives” ......................... 467 16 PRINCIPLES OF DIGITAL COMPUTING 471 16.1 A binary adder ...................................... 471 16.2 Look-up tables ...................................... 472 16.3 Finite-state machines .................................. 477 16.4
Recommended publications
  • Page # 6.M.NS.B.03 Aug 8
    1 6th Grade Math Standards Help Sheets Table of Contents Standard When Taught ____ __________________ ___Page # 6.M.NS.B.03 Aug 8th (1 Week) 2 6.M.NS.B.02 Aug 15th (1 Week) 4 6.M.NS.B.04 Aug 22nd (1 Week) 5 6.M.NS.C.09 Aug 29th (1Week) 5 6.M.RP.A.01 Aug 29th (1 Week) 6 6.M.RP.A.02 Sept 5th (1 Week) 7 6.M.RP.A.03 Sept 12th (1 Week) 7 6.M.NS.A.01 Sept 19th (1 Week) 8 Benchmark #1 Review & Test Sept 26th 6.M.NS.C.05 Oct 3rd (1 Week) 10 6.M.NS.C.06ac Oct 10th (1 Week) 11 6.M.EE.A.01 Oct 17th (1 Week) 12 6.M.EE.A.02abc Oct 24th (1 Week) 13 6.M.EE.B.05 Oct 31st (1 Week) 15 6.M.EE.B.07 Nov 7th (1 Week) 17 6.M.EE.B.08 Nov 14th (1 Week) 18 6.M.NS.C.07 Nov 21st (1 Week) 18 6.M.EE.A.04 Nov 28th (2 days) 20 Benchmark #2 Review & Test Dec 5th Benchmark Test Dec 12th 6.M.EE.C.09 Dec 19th (1 Week) 21 6.M.G.A.03 Jan 9th (1 Week) 23 6.M.NS.C.08 Jan 9th (1 Week) 23 6.M.NS.C.06bc Jan 16th (1 Week) 25 6.M.G.A.01 Jan 23rd (1 Week) 27 6.M.G.A.04 Jan 30th (1 Week) 29 6.M.G.A.02 Feb 6th (1 Week) 30 6.M.SP.A.01.02.03 Feb13th (2 Week) 31 Benchmark #3 Review & Test Feb 27th (1 Week) 6.M.RP.A.03 March 6th (1 Week) 35 6.M.SP.B.04 March 20th (1 Week) 36 6.M.SP.B.05 March 27th (2 Weeks) 39 Websites IXL https://www.teachingchannel.org khanacademy.org http://www.commoncoresheets.com learnzillion.com www.mathisfun.com 2 Aug 8th 6.M.NS.B.03 I can use estimation strategies to fluently add, subtract, multiply and divide multi-digit decimals Big Ideas Students use estimation strategies to see if their answer is reasonable.
    [Show full text]
  • Unpacking Symbolic Number Comparison and Its Relation with Arithmetic in Adults ⇑ Delphine Sasanguie A,B, , Ian M
    Cognition 165 (2017) 26–38 Contents lists available at ScienceDirect Cognition journal homepage: www.elsevier.com/locate/COGNIT Original Articles Unpacking symbolic number comparison and its relation with arithmetic in adults ⇑ Delphine Sasanguie a,b, , Ian M. Lyons c, Bert De Smedt d, Bert Reynvoet a,b a Brain and Cognition, KU Leuven, 3000 Leuven, Belgium b Faculty of Psychology and Educational Sciences @Kulak, 8500 Kortrijk, Belgium c Department of Psychology, Georgetown University, 20057 Washington D.C., United States d Parenting and Special Education, KU Leuven, 3000 Leuven, Belgium article info abstract Article history: Symbolic number – or digit – comparison has been a central tool in the domain of numerical cognition for Received 15 July 2016 decades. More recently, individual differences in performance on this task have been shown to robustly Revised 13 April 2017 relate to individual differences in more complex math processing – a result that has been replicated Accepted 24 April 2017 across many different age groups. In this study, we ‘unpack’ the underlying components of digit compar- Available online 28 April 2017 ison (i.e. digit identification, digit to number-word matching, digit ordering and general comparison) in a sample of adults. In a first experiment, we showed that digit comparison performance was most strongly Keywords: related to digit ordering ability – i.e., the ability to judge whether symbolic numbers are in numerical Digit comparison order. Furthermore, path analyses indicated that the relation between digit comparison and arithmetic Arithmetic Working memory was partly mediated by digit ordering and fully mediated when non-numerical (letter) ordering was also Long-term memory entered into the model.
    [Show full text]
  • NUMBER SYSTEMS and DATA REPRESENTATION for COMPUTERS
    NUMBER SYSTEMS and DATA REPRESENTATION for COMPUTERS 05 March 2008 Number Systems and Data Representation 2 Table of Contents Table of Contents .............................................................................................................2 Prologue.............................................................................................................................8 Number System Bases Introduction............................................................................12 Base 60 Number System ..........................................................................................12 Base 12 Number System ..........................................................................................14 Base 6 (Senary) Number System ............................................................................15 Base 3 (Trinary) Number System ............................................................................16 Base 1 Number System.............................................................................................17 Other Bases.................................................................................................................18 Know Nothing ..............................................................................................................18 Indexes and Subscripts .................................................................................................19 Common Number Systems for Computers ................................................................20 Decimal Numbers
    [Show full text]
  • IDA 3 Rule 160-4-2-.20
    160-4-2-.20 Code: IDA (3) 160-4-2-.20 LIST OF STATE-FUNDED K-8 SUBJECTS AND 9-12 COURSES FOR STUDENTS ENTERING NINTH GRADE IN 2008 AND SUBSEQUENT YEARS. (1) REQUIREMENTS. (a) Local boards of education shall not receive state funds for the following: 1. Any course for which the course guide does not allocate a major portion of class time towards the development of one or more student competencies established by the Georgia Board of Education. (See State Board of Education Rule 160-4-2-.01 The Quality Core Curriculum and Student Competencies.) 2. Any course that requires participation in an extracurricular activity and for which enrollment is on a competitive basis. 3. Any class period in which the student serves as an assistant in a school office or in the media center, except when such placement is an approved work learning site of a recognized career or vocational program. 4. Any study hall or other noncredit course. (b) Local boards of education may apply for state funding for courses not on this list using DE Form 0287 Local School System Request for Addition to Rule 160-4-2-.20 List of State- Funded K-8 Subjects and 9-12 Courses. The forms are posted on the Standards, Instruction, and Assessment webpage. (c) New course additions will be considered each year by the State Board of Education. DE Form 0287 must be submitted to the Department by June 1 each year. (d) The courses attached to this rule shall become effective at the beginning of school year 2010-2011.
    [Show full text]
  • The Concept of Zero Continued…
    International Journal of Scientific & Engineering Research Volume 3, Issue 12, December-2012 1 ISSN 2229-5518 Research Topic: The Concept of Zero Continued… Abstract: In the BC calendar era, the year 1 BC is the first year before AD 1; no room is reserved 0 (zero; /ˈziːroʊ/ ZEER-oh) is both a for a year zero. By contrast, in astronomical number[1] and the numerical digit used to year numbering, the year 1 BC is numbered represent that number in numerals. It plays a 0, the year 2 BC is numbered −1, and so on. central role in mathematics as the additive identity of the integers, real numbers, and The oldest known text to use a decimal many other algebraic structures. As a digit, 0 place-value system, including a zero, is the is used as a placeholder in place value Jain text from India entitled the systems. In the English language, 0 may be Lokavibhâga, dated 458 AD. This text uses called zero, nought or (US) naught ( Sanskrit numeral words for the digits, with /ˈnɔːt/), nil, or "o". Informal or slang terms words such as the Sanskrit word for void for for zero include zilch and zip. Ought or zero. aught ( /ˈɔːt/), have also been used. The first known use of special glyphs for the decimal digits that includes the 0 is the integer immediately preceding 1. In indubitable appearance of a symbol for the most cultures, 0 was identified before the digit zero, a small circle, appears on a stone idea of negative things that go lower than inscription found at the Chaturbhuja Temple zero was accepted.
    [Show full text]
  • Number System and Codes
    NUMBER SYSTEM AND CODES INTRODUCTION:- The term digital refers to a process that is achieved by using discrete unit. In number system there are different symbols and each symbol has an absolute value and also has place value. RADIX OR BASE:- The radix or base of a number system is defined as the number of different digits which can occur in each position in the number system. RADIX POINT :- The generalized form of a decimal point is known as radix point. In any positional number system the radix point divides the integer and fractional part. Nr = [ Integer part . Fractional part ] ↑ Radix point NUMBER SYSTEM:- In general a number in a system having base or radix ‘ r ’ can be written as an an-1 an-2 …………… a0 . a -1 a -2 …………a - m This will be interpreted as n n-1 n-2 0 -1 -2 –m Y = an x r + an-1 x r + an-2 x r + ……… + a0 x r + a-1 x r + a-2 x r +………. +a -m x r where Y = value of the entire number th an = the value of the n digit r = radix TYPES OF NUMBER SYSTEM:- There are four types of number systems. They are 1. Decimal number system 2. Binary number system 3. Octal number system 4. Hexadecimal number system DECIMAL NUMBER SYSTEM:- The decimal number system contain ten unique symbols 0,1,2,3,4,5,6,7,8 and 9. In decimal system 10 symbols are involved, so the base or radix is 10. It is a positional weighted system.
    [Show full text]
  • Touch Biometric System
    Incorporating Touch Biometrics to Mobile One-Time Passwords: Exploration of Digits Ruben Tolosana, Ruben Vera-Rodriguez, Julian Fierrez and Javier Ortega-Garcia BiDA Lab- Biometrics and Data Pattern Analytics Lab Universidad Autonoma de Madrid, Spain Outline 1.Introduction 2.e-BioDigit Database 3.Handwritten Touch Biometric System 4.Experimental Work 5.Conclusions and future Work Introduction 1 1. Introduction 2. e-BioDigit Database 3. Handwritten Touch Biometric System 4. Experimental Work 5. Conclusions and Future Work Introduction • Mobile devices have become an indispensable tool for most people nowadays Social Networks On-Line Payments 1 / 17 Introduction • Public and Private Sectors are aware of the importance of mobile devices in our society • Deployment of their services through security and user-friendly mobile applications 2 / 17 Introduction • Public and Private Sectors are aware of the importance of mobile devices in our society • Deployment of their services through security and user-friendly mobile applications • However, difficult to accomplish using only traditional approaches Personal Identification Number (PIN) One-Time Password (OTP) 3 / 17 Introduction • Biometric recognition schemes can cope with these problems as they combine: • Behavioural biometric systems very attractive on mobile scenarios Dynamic Lock Touch Handwritten Graphical Patterns Biometrics Signature Passwords 4 / 17 Proposed Approach • Incorporate touch biometrics to mobile one-time passwords (OTP): On-Line Payments User Mobile Authentication Message 5 / 17 Proposed Approach • Incorporate touch biometrics to mobile one-time passwords (OTP): On-Line Payments OTP System (e.g. 934) Advantages: • Users do not memorize passwords • User-friendly interface (mobile scenarios) • Security level easily configurable • # enrolment samples • Length password 6 / 17 e-BioDigit Database 2 1.
    [Show full text]
  • Numbers 1 to 100
    Numbers 1 to 100 PDF generated using the open source mwlib toolkit. See http://code.pediapress.com/ for more information. PDF generated at: Tue, 30 Nov 2010 02:36:24 UTC Contents Articles −1 (number) 1 0 (number) 3 1 (number) 12 2 (number) 17 3 (number) 23 4 (number) 32 5 (number) 42 6 (number) 50 7 (number) 58 8 (number) 73 9 (number) 77 10 (number) 82 11 (number) 88 12 (number) 94 13 (number) 102 14 (number) 107 15 (number) 111 16 (number) 114 17 (number) 118 18 (number) 124 19 (number) 127 20 (number) 132 21 (number) 136 22 (number) 140 23 (number) 144 24 (number) 148 25 (number) 152 26 (number) 155 27 (number) 158 28 (number) 162 29 (number) 165 30 (number) 168 31 (number) 172 32 (number) 175 33 (number) 179 34 (number) 182 35 (number) 185 36 (number) 188 37 (number) 191 38 (number) 193 39 (number) 196 40 (number) 199 41 (number) 204 42 (number) 207 43 (number) 214 44 (number) 217 45 (number) 220 46 (number) 222 47 (number) 225 48 (number) 229 49 (number) 232 50 (number) 235 51 (number) 238 52 (number) 241 53 (number) 243 54 (number) 246 55 (number) 248 56 (number) 251 57 (number) 255 58 (number) 258 59 (number) 260 60 (number) 263 61 (number) 267 62 (number) 270 63 (number) 272 64 (number) 274 66 (number) 277 67 (number) 280 68 (number) 282 69 (number) 284 70 (number) 286 71 (number) 289 72 (number) 292 73 (number) 296 74 (number) 298 75 (number) 301 77 (number) 302 78 (number) 305 79 (number) 307 80 (number) 309 81 (number) 311 82 (number) 313 83 (number) 315 84 (number) 318 85 (number) 320 86 (number) 323 87 (number) 326 88 (number)
    [Show full text]
  • On the Notion of Number in Humans and Machines
    On the notion of number in humans and machines Norbert Bátfai1,*, Dávid Papp2, Gergő Bogacsovics1, Máté Szabó1, Viktor Szilárd Simkó1, Márió Bersenszki1, Gergely Szabó1, Lajos Kovács1, Ferencz Kovács1, and Erik Szilveszter Varga1 1Department of Information Technology, University of Debrecen, Hungary 2Department of Psychology, University of Debrecen, Hungary *Corresponding author: Norbert Bátfai, [email protected] July 1, 2019 Abstract In this paper, we performed two types of software experiments to study the numerosity classification (subitizing) in humans and machines. Ex- periments focus on a particular kind of task is referred to as Semantic MNIST or simply SMNIST where the numerosity of objects placed in an image must be determined. The experiments called SMNIST for Humans are intended to measure the capacity of the Object File System in humans. In this type of experiment the measurement result is in well agreement with the value known from the cognitive psychology literature. The ex- periments called SMNIST for Machines serve similar purposes but they investigate existing, well known (but originally developed for other pur- pose) and under development deep learning computer programs. These measurement results can be interpreted similar to the results from SM- NIST for Humans. The main thesis of this paper can be formulated as follows: in machines the image classification artificial neural networks can learn to distinguish numerosities with better accuracy when these nu- merosities are smaller than the capacity of OFS in humans. Finally, we outline a conceptual framework to investigate the notion of number in humans and machines. arXiv:1906.12213v1 [cs.CV] 27 Jun 2019 Keywords: numerosity classification, object file system, machine learning, MNIST, esport.
    [Show full text]
  • Ethnoscientia Ethnoscientia V
    ETHNOSCIENTIA ETHNOSCIENTIA V. 3, 2018 www.ethnsocientia.com ISSN: 2448-1998 D.O.I.: 10.22276/ethnoscientia.v3i0.114 RESEARCH ARTICLE FROM NULL SIZE TO NUMERICAL DIGIT; THE BEHEADED QUEEN BEE AS A MODEL FOR THE MAYAN ZERO GLYPH T173, EXPLAINED THROUGH BEEKEEPING Da dimensão nula ao dígito: a abelha rainha decapitada como modelo para o glifo maia zero T173, explicado através de criacão de abelhas Dirk KOEDAM* Federal University of the Rural Semi-arid Region, Department of Animal Sciences, Avenida Francisco Mota 572, CEP: 59625-900, Mossoró, RN, Brazil; *[email protected] Submitted: 02/09/2017; Accepted: 10/03/2018 ABSTRACT The characteristic signs for natural numbers and zero that pre-Hispanic Maya scribes used to depict counting facts must have been developed based on daily life experience, although for several of them their origins remain unclear. One such case is the sculptured, three-sided or partially visible quatrefoil glyph, catalogued as affix T173. This glyph had several textual functions, but its scribal variations were most frequently used as a positional zero. In several cases of T173’s use, its syllabic reading has been recognized as mi, which can be translated into “lacking”. Yucatec Mayas kept stingless, meliponine bees for honey and wax production and trade, and the cultural value of this practice reveals itself through the worshipping of several bee and beekeeping gods. In species of the genus Melipona, queens are constantly produced. Worker bees eliminate superfluous and useless queens all year round, commonly by biting off their heads. These worker-controlled killings of excess queens allow colonies to perpetuate themselves but occasionally lead to irreversible colony loss, which would seriously undermine honey harvests.
    [Show full text]
  • Unicode Mizo Character Recognition System Using Multilayer Neural Network Model
    International Journal of Soft Computing and Engineering (IJSCE) ISSN: 2231-2307, Volume-4 Issue-2, May 2014 Unicode Mizo Character Recognition System using Multilayer Neural Network Model J. Hussain, Lalthlamuana These special characters with their circumflex and dot at the Abstract - The current investigation presents an algorithm and bottom are not available in english script. Therefore, mizo software to detect and recognize pre-printed mizo character fonts have been developed using unicode standard to enable symbol images. Four types of mizo fonts were under investigation to generate all the mizo characters. In mizo script, there are namely – Arial, Tohoma, Cambria, and New Times Roman. The compound characters such as “AW”, “CH”, and “NG”. These approach involves scanning the document, preprocessing, segmentation, feature extraction, classification & recognition and compound characters are treated as a single character in mizo post processing. The multilayer perceptron neural network is used script. But for the purpose of recognition, the character „C‟ for classification and recognition algorithm which is simple and and „H‟ are treated as separate character. In this work, the easy to implement for better results. In this work, Unicode mizo characters are divided into four classes such as: encoding technique is applied for recognition of mizo characters as the ASCII code cannot represent all the mizo characters Capital letter: A AW B CH D E F G NG H I J K L M N O P R especially the characters with circumflex and dot at the bottom. S T Ṭ U V Z The experimental results are quite satisfactory for implementation of mizo character recognition system.
    [Show full text]
  • Ξ Numbers, Its Inception, Development and Operations on It
    40589 Falih A. M. Aldosray/ Elixir Dis. Math. 95 (2016) 40589-40596 Available online at www.elixirpublishers.com (Elixir International Journal) Discrete Mathematics Elixir Dis. Math. 95 (2016) 40589-40596 Numbers, its inception, development and operations on it Falih A. M. Aldosray Departement of Mathematics, Umm AlQura University, Makkah P.O.Box 56199 Saudi Arabia. ARTICLE INFO ABSTRACT Article history: Arabic numerals, also called Hindu -Arabic numeral, the ten Received: 6 April 2016; digits:0,1,2,3,4,5,6,7,8,9,(6,1,2,3,4,5,6,7,8,9 )the most common system Received in revised form: for the sympolic representation of numbers in the world today. the 21 May 2016; system was adopteb by Arab mathematicians in Baghdad and passed on Accepted: 26 May 2016; to the Arabs farther west. In this article we give the history of numbers and its origin. Keywords © 2016 Elixir All rights reserved. 01AXXand 11-XX بػ 2666 ضIntroductio n 3666 ػ دع 4666 طNumber is the language of science and the best way to 9666 ػ يػ 16666 كع express it is symbols, and numrals are forms(symbols) written 26666 لػ 36666 صby the numbers codes.Alsumariun expressed Semites for 96666 ػ قػ 166666 سغ numbers letters alphabet, and the Babylonians expressed them 266666 شػ 366666 ظin cuneiform, and Egyptians wrote numbers in the form of 966666 ػ horizontal and vertical lines and fees hieroglyphics and the In the era of al-Mansur (Abu Abdullah Muhammad Ibn Greeks used first letters of words to denote numbers, as did Ibrahim al-vzazi first astronomical in Islam, translate the book the Phoenicians and Hebrews, while Romans used vertical (Send hend) of the Indian astronomer Ganga, who is looking lines and then evolved to take the form of letters of the at the stars with a way been done in India and the new alphabet.
    [Show full text]