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An Evolutionary Approach for Sorting Algorithms
ORIENTAL JOURNAL OF ISSN: 0974-6471 COMPUTER SCIENCE & TECHNOLOGY December 2014, An International Open Free Access, Peer Reviewed Research Journal Vol. 7, No. (3): Published By: Oriental Scientific Publishing Co., India. Pgs. 369-376 www.computerscijournal.org Root to Fruit (2): An Evolutionary Approach for Sorting Algorithms PRAMOD KADAM AND Sachin KADAM BVDU, IMED, Pune, India. (Received: November 10, 2014; Accepted: December 20, 2014) ABstract This paper continues the earlier thought of evolutionary study of sorting problem and sorting algorithms (Root to Fruit (1): An Evolutionary Study of Sorting Problem) [1]and concluded with the chronological list of early pioneers of sorting problem or algorithms. Latter in the study graphical method has been used to present an evolution of sorting problem and sorting algorithm on the time line. Key words: Evolutionary study of sorting, History of sorting Early Sorting algorithms, list of inventors for sorting. IntroDUCTION name and their contribution may skipped from the study. Therefore readers have all the rights to In spite of plentiful literature and research extent this study with the valid proofs. Ultimately in sorting algorithmic domain there is mess our objective behind this research is very much found in documentation as far as credential clear, that to provide strength to the evolutionary concern2. Perhaps this problem found due to lack study of sorting algorithms and shift towards a good of coordination and unavailability of common knowledge base to preserve work of our forebear platform or knowledge base in the same domain. for upcoming generation. Otherwise coming Evolutionary study of sorting algorithm or sorting generation could receive hardly information about problem is foundation of futuristic knowledge sorting problems and syllabi may restrict with some base for sorting problem domain1. -
The Existence of Fibonacci Numbers in the Algorithmic Generator for Combinatoric Pascal Triangle
British Journal of Science 62 September 2014, Vol. 11 (2) THE EXISTENCE OF FIBONACCI NUMBERS IN THE ALGORITHMIC GENERATOR FOR COMBINATORIC PASCAL TRIANGLE BY Amannah, Constance Izuchukwu [email protected]; +234 8037720614 Department of Computer Science, Faculty of Natural and Applied Sciences, Ignatius Ajuru University of Education, P.M.B. 5047, Port Harcourt, Rivers State, Nigeria. & Nanwin, Nuka Domaka Department of Computer Science, Faculty of Natural and Applied Sciences, Ignatius Ajuru University of Education, P.M.B. 5047, Port Harcourt, Rivers State, Nigeria © 2014 British Journals ISSN 2047-3745 British Journal of Science 63 September 2014, Vol. 11 (2) ABSTRACT The discoveries of Leonard of Pisa, better known as Fibonacci, are revolutionary contributions to the mathematical world. His best-known work is the Fibonacci sequence, in which each new number is the sum of the two numbers preceding it. When various operations and manipulations are performed on the numbers of this sequence, beautiful and incredible patterns begin to emerge. The numbers from this sequence are manifested throughout nature in the forms and designs of many plants and animals and have also been reproduced in various manners in art, architecture, and music. This work simulated the Pascal triangle generator to produce the Fibonacci numbers or sequence. The Fibonacci numbers are generated by simply taken the sums of the "shallow" diagonals (shown in red) of Pascal's triangle. The Fibonacci numbers occur in the sums of "shallow" diagonals in Pascal's triangle. This Pascal triangle generator is a combinatoric algorithm that outlines the steps necessary for generating the elements and their positions in the rows of a Pascal triangle. -
The Deep Learning Solutions on Lossless Compression Methods for Alleviating Data Load on Iot Nodes in Smart Cities
sensors Article The Deep Learning Solutions on Lossless Compression Methods for Alleviating Data Load on IoT Nodes in Smart Cities Ammar Nasif *, Zulaiha Ali Othman and Nor Samsiah Sani Center for Artificial Intelligence Technology (CAIT), Faculty of Information Science & Technology, University Kebangsaan Malaysia, Bangi 43600, Malaysia; [email protected] (Z.A.O.); [email protected] (N.S.S.) * Correspondence: [email protected] Abstract: Networking is crucial for smart city projects nowadays, as it offers an environment where people and things are connected. This paper presents a chronology of factors on the development of smart cities, including IoT technologies as network infrastructure. Increasing IoT nodes leads to increasing data flow, which is a potential source of failure for IoT networks. The biggest challenge of IoT networks is that the IoT may have insufficient memory to handle all transaction data within the IoT network. We aim in this paper to propose a potential compression method for reducing IoT network data traffic. Therefore, we investigate various lossless compression algorithms, such as entropy or dictionary-based algorithms, and general compression methods to determine which algorithm or method adheres to the IoT specifications. Furthermore, this study conducts compression experiments using entropy (Huffman, Adaptive Huffman) and Dictionary (LZ77, LZ78) as well as five different types of datasets of the IoT data traffic. Though the above algorithms can alleviate the IoT data traffic, adaptive Huffman gave the best compression algorithm. Therefore, in this paper, Citation: Nasif, A.; Othman, Z.A.; we aim to propose a conceptual compression method for IoT data traffic by improving an adaptive Sani, N.S. -
Evaluation of Sorting Algorithms, Mathematical and Empirical Analysis of Sorting Algorithms
International Journal of Scientific & Engineering Research Volume 8, Issue 5, May-2017 86 ISSN 2229-5518 Evaluation of Sorting Algorithms, Mathematical and Empirical Analysis of sorting Algorithms Sapram Choudaiah P Chandu Chowdary M Kavitha ABSTRACT:Sorting is an important data structure in many real life applications. A number of sorting algorithms are in existence till date. This paper continues the earlier thought of evolutionary study of sorting problem and sorting algorithms concluded with the chronological list of early pioneers of sorting problem or algorithms. Latter in the study graphical method has been used to present an evolution of sorting problem and sorting algorithm on the time line. An extensive analysis has been done compared with the traditional mathematical methods of ―Bubble Sort, Selection Sort, Insertion Sort, Merge Sort, Quick Sort. Observations have been obtained on comparing with the existing approaches of All Sorts. An “Empirical Analysis” consists of rigorous complexity analysis by various sorting algorithms, in which comparison and real swapping of all the variables are calculatedAll algorithms were tested on random data of various ranges from small to large. It is an attempt to compare the performance of various sorting algorithm, with the aim of comparing their speed when sorting an integer inputs.The empirical data obtained by using the program reveals that Quick sort algorithm is fastest and Bubble sort is slowest. Keywords: Bubble Sort, Insertion sort, Quick Sort, Merge Sort, Selection Sort, Heap Sort,CPU Time. Introduction In spite of plentiful literature and research in more dimension to student for thinking4. Whereas, sorting algorithmic domain there is mess found in this thinking become a mark of respect to all our documentation as far as credential concern2. -
The Generalized Principle of the Golden Section and Its Applications in Mathematics, Science, and Engineering
Chaos, Solitons and Fractals 26 (2005) 263–289 www.elsevier.com/locate/chaos The Generalized Principle of the Golden Section and its applications in mathematics, science, and engineering A.P. Stakhov International Club of the Golden Section, 6 McCreary Trail, Bolton, ON, Canada L7E 2C8 Accepted 14 January 2005 Abstract The ‘‘Dichotomy Principle’’ and the classical ‘‘Golden Section Principle’’ are two of the most important principles of Nature, Science and also Art. The Generalized Principle of the Golden Section that follows from studying the diagonal sums of the Pascal triangle is a sweeping generalization of these important principles. This underlies the foundation of ‘‘Harmony Mathematics’’, a new proposed mathematical direction. Harmony Mathematics includes a number of new mathematical theories: an algorithmic measurement theory, a new number theory, a new theory of hyperbolic functions based on Fibonacci and Lucas numbers, and a theory of the Fibonacci and ‘‘Golden’’ matrices. These mathematical theories are the source of many new ideas in mathematics, philosophy, botanic and biology, electrical and computer science and engineering, communication systems, mathematical education as well as theoretical physics and physics of high energy particles. Ó 2005 Elsevier Ltd. All rights reserved. Algebra and Geometry have one and the same fate. The rather slow successes followed after the fast ones at the beginning. They left science at such step where it was still far from perfect. It happened,probably,because Mathematicians paid attention to the higher parts of the Analysis. They neglected the beginnings and did not wish to work on such field,which they finished with one time and left it behind. -
Survey on Inverted Index Compression Over Structured Data
Volume 6, No. 3, May 2015 (Special Issue) ISSN No. 0976-5697 International Journal of Advanced Research in Computer Science RESEARCH PAPER Available Online at www.ijarcs.info Survey on Inverted Index Compression over Structured Data B.Usharani M.TanoojKumar Dept.of Computer Science and Engineering Dept.of ComputerScience and Engineering Andhra Loyola Institute of Engineering and Technology Andhra Loyola Institute of Engineering and Technology India India e-mail:[email protected] e-mail:[email protected] Abstract: A user can retrieve the information by providing a few keywords in the search engine. In the keyword search engines, the query is specified in the textual form. The keyword search allows casual users to access database information. In keyword search, the system has to provide a search over billions of documents stored on millions of computers. The index stores summary of information and guides the user to search for more detailed information. The major concept in the information retrieval(IR) is the inverted index. Inverted index is one of the design factors of the index data structures. Inverted index is used to access the documents according to the keyword search. Inverted index is normally larger in size ,many compression techniques have been proposed to minimize the storage space for inverted index. In this paper we propose the Huffman coding technique to compress the inverted index. Experiments on the performance of inverted index compression using Huffman coding proves that this technique requires minimum storage space as well as increases the key word search performance and reduces the time to evaluate the query. -
Image Compression Using Extended Golomb Code Vector Quantization and Block Truncation Coding
ISSN(Online): 2319-8753 ISSN (Print): 2347-6710 International Journal of Innovative Research in Science, Engineering and Technology (A High Impact Factor, Monthly, Peer Reviewed Journal) Visit: www.ijirset.com Vol. 8, Issue 11, November 2019 Image Compression Using Extended Golomb Code Vector Quantization And Block Truncation Coding Vinay Kumar1, Prof. Neha Malviya2 M. Tech. Scholar, Department of Electronics and Communication, Swami Vivekanand College of Science & Technology, Bhopal, India1 Assistant Professor, Department of Electronics and Communication, Swami Vivekanand College of Science & Technology, Bhopal, India 2 ABSTRACT: Text and image data are important elements for information processing almost in all the computer applications. Uncompressed image or text data require high transmission bandwidth and significant storage capacity. Designing an efficient compression scheme is more critical with the recent growth of computer applications. Extended Golomb code, for integer representation is proposed and used as a part of Burrows-Wheeler compression algorithm to compress text data. The other four schemes are designed for image compression. Out of four, three schemes are based on Vector Quantization (VQ) method and the fourth scheme is based on Absolute Moment Block Truncation Coding (AMBTC). The proposed scheme is block prediction-residual block coding AMBTC (BP-RBCAMBTC). In this scheme an image is divided into non-overlapping image blocks of small size (4x4 pixels) each. Each image block is encoded using neighboring image blocks which have high correlation among IX them. BP-RBCAMBTC obtains better image quality and low bit rate than the recently proposed method based on BTC. KEYWORDS: Block Truncation Code (BTC), Vector Quantization, Golomb Code Vector I. -
Lelewer and Hirschberg, "Data Compression"
Data Compression DEBRA A. LELEWER and DANIEL S. HIRSCHBERG Department of Information and Computer Science, University of California, Irvine, California 92717 This paper surveys a variety of data compression methods spanning almost 40 years of research, from the work of Shannon, Fano, and Huffman in the late 1940s to a technique developed in 1986. The aim of data compression is to reduce redundancy in stored or communicated data, thus increasing effective data density. Data compression has important application in the areas of file storage and distributed systems. Concepts from information theory as they relate to the goals and evaluation of data compression methods are discussed briefly. A framework for evaluation and comparison of methods is constructed and applied to the algorithms presented. Comparisons of both theoretical and empirical natures are reported, and possibilities for future research are suggested Categories and Subject Descriptors: E.4 [Data]: Coding and Information Theory-data compaction and compression General Terms: Algorithms, Theory Additional Key Words and Phrases: Adaptive coding, adaptive Huffman codes, coding, coding theory, tile compression, Huffman codes, minimum-redundancy codes, optimal codes, prefix codes, text compression INTRODUCTION mation but whose length is as small as possible. Data compression has important Data compression is often referred to as application in the areas of data transmis- coding, where coding is a general term en- sion and data storage. Many data process- compassing any special representation of ing applications require storage of large data that satisfies a given need. Informa- volumes of data, and the number of such tion theory is defined as the study of applications is constantly increasing as the efficient coding and its consequences in use of computers extends to new disci- the form of speed of transmission and plines. -
ABSTRACT Title of Thesis: a LOGIC SYSTEM for FIBONACCI
ABSTRACT Title of Thesis: A LOGIC SYSTEM FOR FIBONACCI NUMBERS EQUIVALENT TO 64-BIT BINARY Jiani Shen, Master of Science, 2018 Thesis Directed By: Professor Robert W. Newcomb, Electrical & Computer Engineering Compared to the most commonly used binary computers, the Fibonacci computer has its own research values. Making study of Fibonacci radix system is of considerable importance to the Fibonacci computer. Most materials only explain how to use binary coefficients in Fibonacci base to represent positive integers and introduce a little about basic arithmetic on positive integers using complicated but incomplete methods. However, rarely have materials expanded the arithmetic to negative integers with an easier way. In this thesis, we first transfer the unsigned binary Fibonacci representation with minimal form(UBFR(min)) into the even-subscripted signed ternary Fibonacci representation(STFRe), which includes the negative integers and doubles the range over UBFR(min). Then, we develop some basic operations on both positive and negative integers by applying various properties of the Fibonacci sequence into arithmetic. We can set the arithmetic range equivalent to 64-bit binary as our daily binary computers, or whatever reasonable ranges we want. A LOGIC SYSTEM FOR FIBONACCI NUMBERS EQUIVALENT TO 64-BIT BINARY by Jiani Shen Thesis submitted to the Faculty of the Graduate School of the University of Maryland, College Park, in partial fulfillment of the requirements for the degree of [Master of Science] [2018] Advisory Committee: Professor [Robert W. Newcomb], Chair Professor A. Yavuz Oruc Professor Gang Qu © Copyright by [Jiani Shen] [2018] Acknowledgements Sincere thanks to dear Professor Robert Newcomb. He guides me to do the thesis and reviews the papers for me diligently. -
Variable-Length Coding: Unary Coding Golomb Coding Elias Gamma and Delta Coding Fibonacci Coding
www.vsb.cz Analysis and Signal Compression Information and Probability Theory Michal Vašinek VŠB – Technická univerzita Ostrava FEI/EA404 [email protected] 2020, February 12th Content Classes of Codes Variable-length coding: Unary coding Golomb coding Elias Gamma and Delta coding Fibonacci coding Michal Vašinek (VŠB-TUO) Analysis and Signal Compression 1 / 22 Codes Obrázek: Classes of codes, Cover and Thomas, Elements of Information Theory, p. 106. Michal Vašinek (VŠB-TUO) Analysis and Signal Compression 2 / 22 Nonsigular code Let X be a range of random variable X, for instance the alphabet of input data. Let D be d-ary alphabet of output, for instance binary alphabet D = f0; 1g. Nonsingular Code A code is said to be nonsingular if every element of the range of X maps into different string in D∗; that is: x 6= x0 ! C(x) 6= C(x0) Michal Vašinek (VŠB-TUO) Analysis and Signal Compression 3 / 22 Nonsigular code Nonsingular Code A code is said to be nonsingular if every element of the range of X maps into different string in D∗; that is: x 6= x0 ! C(x) 6= C(x0) Let C(’a’) = 0, C(’b’)=00, C(’c’)=01 be codewords of code C. Encode the sequence s = abc, i.e. C(s) = 0 00 01 = 00001. We can decode in many ways: aaac, bac, abc. Can be solved by adding special separating symbol. For instance with code 11. Michal Vašinek (VŠB-TUO) Analysis and Signal Compression 4 / 22 Uniquely Decodable Codes Definition The extension C∗ of a code C is the mapping from finite length strings of X to finite-length strings of D, defined by: C(x1x2; : : : ; xn) = C(x1)C(x2) :::C(xn) For instance, if C(x1) = 00 and C(x2) = 11 then C(x1x2) = 0011. -
New Classes of Random Sequences For
NEW CLASSES OF RANDOM SEQUENCES FOR CODING AND CRYPTOGRAPHY APPLICATIONS By KIRTHI KRISHNAMURTHY VASUDEVA MURTHY Bachelor of Engineering in Instrumentation Technology Visvesvaraya Technological University Bangalore, Karnataka 2013 Submitted to the Faculty of the Graduate College of the Oklahoma State University in partial fulfillment of the requirements for the Degree of MASTER OF SCIENCE May, 2016 NEW CLASSES OF RANDOM SEQUENCES FOR CODING AND CRYPTOGRAPHY APPLICATIONS Thesis Approved: Dr. Subhash Kak Thesis Adviser Dr. Keith A Teague Dr. George Scheets ii ACKNOWLEDGEMENTS I would like to express my deep gratitude to my master’s thesis advisor Dr. Subhash Kak. He continually and convincingly conveyed a spirit of adventure and motivation in regard to research with profound patience handling me in all my tough situations. Without his persistent support, this thesis would not have been possible. I render my sincere thanks to my committee members, Dr. Keith Teague and Dr. George Scheets for their support and guidance in final stages of thesis presentation and document review. I thank Oklahoma State University for giving opportunity to utilize and enhance my technical knowledge. Lastly, I would like to thank my parents and friends for constant encouragement emotionally and financially to pursue masters and complete thesis research and document at OSU. iii Acknowledgements reflect the views of the author and are not endorsed by committee members or Oklahoma State University. Name: KIRTHI KRISHNAMURTHY VASUDEVA MURTHY Date of Degree: MAY, 2016 Title of Study: NEW CLASSES OF RANDOM SEQUENCES FOR CODING AND CRYPTOGRAPHY APPLICATIONS Major Field: ELECTRICAL ENGINEERING Abstract: Cryptography is required for securing data in a digital or analog medium and there exists a variety of protocols to encode the data and decrypt them without third party interference. -
Professor Stewart's Casebook of Mathematical Mysteries
Professor Stewart’s Casebook of Mathematical Mysteries Professor Ian Stewart is known throughout the world for making mathematics popular. He received the Royal Society’s Faraday Medal for furthering the public understanding of science in1995, the IMA Gold Medal in 2000, the AAAS Public Understanding of Science and Technology Award in 2001 and the LMS/IMA Zeeman Medal in 2008. He was elected a Fellow of the Royal Society in 2001. He is Emeritus Professor of Mathematics at the University of Warwick, where he divides his time between research into nonlinear dynamics and furthering public awareness of mathematics. His many popular science books include (with Terry Pratchett and Jack Cohen) The Science of Discworld I to IV, The Mathematics of Life, 17 Equations that Changed the World and The Great Mathematical Problems. His app, Professor Stewart’s Incredible Numbers, was published jointly by Profile and Touch Press in March 2014. By the Same Author Concepts Of Modern Mathematics Game, Set, And Math Does God Play Dice? Another Fine Math You’ve Got Me Into Fearful Symmetry Nature’s Numbers From Here To Infinity The Magical Maze Life’s Other Secret Flatterland What Shape Is A Snowflake? The Annotated Flatland Math Hysteria The Mayor Of Uglyville’s Dilemma How To Cut A Cake Letters To A Young Mathematician Taming The Infinite (Alternative Title: The Story Of Mathematics) Why Beauty Is Truth Cows In The Maze Mathematics Of Life Professor Stewart’s Cabinet Of Mathematical Curiosities Professor Stewart’s Hoard Of Mathematical Treasures Seventeen