Algorithms for Image Compression, Distributed Communication Networks and Distributed Resource Allocation PDF Download

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Category :
Languages : en
Pages : 0

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Book Description
During the period of the grant, 6/15/95-6/30/98, we investigated problems in major areas: (1) Image Analysis Tasks, including image interpretation, object recognition, and tracking; (2) Distributed communication networks and distributed resource allocation. In the former area, we developed and explored three paradigms: hierarchical compositional models; deformable templates for a host of applications including medical tasks; and HMM/deformable templates for tracking and recognition of moving objects. In the later area, we developed a novel scheme for managing buffer overflows; a new framework for network security; and a mathematical framework for synthesizing distributed algorithms.

Author: Wan Fokkink
Publisher: MIT Press
ISBN: 0262318954
Category : Computers
Languages : en
Pages : 242

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Book Description
A comprehensive guide to distributed algorithms that emphasizes examples and exercises rather than mathematical argumentation. This book offers students and researchers a guide to distributed algorithms that emphasizes examples and exercises rather than the intricacies of mathematical models. It avoids mathematical argumentation, often a stumbling block for students, teaching algorithmic thought rather than proofs and logic. This approach allows the student to learn a large number of algorithms within a relatively short span of time. Algorithms are explained through brief, informal descriptions, illuminating examples, and practical exercises. The examples and exercises allow readers to understand algorithms intuitively and from different perspectives. Proof sketches, arguing the correctness of an algorithm or explaining the idea behind fundamental results, are also included. An appendix offers pseudocode descriptions of many algorithms. Distributed algorithms are performed by a collection of computers that send messages to each other or by multiple software threads that use the same shared memory. The algorithms presented in the book are for the most part “classics,” selected because they shed light on the algorithmic design of distributed systems or on key issues in distributed computing and concurrent programming. Distributed Algorithms can be used in courses for upper-level undergraduates or graduate students in computer science, or as a reference for researchers in the field.

Author: Yifeng He
Publisher: CRC Press
ISBN: 1439875162
Category : Computers
Languages : en
Pages : 204

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Book Description
While most books on the subject focus on resource allocation in just one type of network, this book is the first to examine the common characteristics of multiple distributed video communication systems. Comprehensive and systematic, Optimal Resource Allocation for Distributed Video Communication presents a unified optimization framework for resour

Author: Eduardo Jose Ramírez Llanos
Publisher:
ISBN:
Category :
Languages : en
Pages : 212

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Book Description
The proliferation of large-scale networks like social networks, transportation networks, or smartgrids imposes new demands and challenges on the design of learning algorithms for optimal resource allocation. In a typical scenario, a group of agents decides how to coordinate the use of shared resources to solve a common goal while satisfying operational and communication constraints. The challenge is how to increase the network resilience given myopic agents with access to partial information. Under these settings, there is an emergence for the design of algorithms that are scalable, robust against adversarial or unknown environments, preserve privacy, and that allow the agents to take autonomous decisions on the resource utilization. A real-world problem leading to such a scenarios arises in computer networks, epidemiology, and viral marketing, where a viral outbreak can be a threat to the security of interconnected infrastructure and the well-being of general population. The implementation of strategies to stop epidemics can be specially challenging when networks are managed by multiple operators who need to preserve the privacy and interests of their constituents. Motivated by this situation, we consider a resource allocation problem for virus spread minimization. Based on a general contagion dynamics model, we characterize the optimal solution to the problem. We pose the problem objective as the minimization of the spectral radius of the contagion-dynamics matrix subject to operational constraints. We propose four algorithms to find the solution with provable convergence guarantees under different settings. The first algorithm, inspired by the Replicator Dynamics, implements the desired resource allocation for time-varying symmetric matrices. The second algorithm, designed in continuous-time, uses local and anonymous interactions, does not require knowledge of the total resource available to agents in order to converge to the solution, is robust to agents joining or departing the network, and to sporadic changes in the network topology, computation errors, and communication faults. The third algorithm, which is a discrete version of the second one, conserves the robustness properties of the previous one. Finally, we propose a stochastic algorithm, which extends the previous algorithms to scenarios where the closed-form expression of the cost functions is unknown to the agents.

Author: Ling Guan
Publisher: CRC Press
ISBN: 1439830878
Category : Technology & Engineering
Languages : en
Pages : 828

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Book Description
As multimedia applications have become part of contemporary daily life, numerous paradigm-shifting technologies in multimedia processing have emerged over the last decade. Substantially updated with 21 new chapters, Multimedia Image and Video Processing, Second Edition explores the most recent advances in multimedia research and applications. This edition presents a comprehensive treatment of multimedia information mining, security, systems, coding, search, hardware, and communications as well as multimodal information fusion and interaction. Clearly divided into seven parts, the book begins with a section on standards, fundamental methods, design issues, and typical architectures. It then focuses on the coding of video and multimedia content before covering multimedia search, retrieval, and management. After examining multimedia security, the book describes multimedia communications and networking and explains the architecture design and implementation for multimedia image and video processing. It concludes with a section on multimedia systems and applications. Written by some of the most prominent experts in the field, this updated edition provides readers with the latest research in multimedia processing and equips them with advanced techniques for the design of multimedia systems.

Author: Michel Raynal
Publisher: Springer Science & Business Media
ISBN: 3642381235
Category : Computers
Languages : en
Pages : 518

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Book Description
Distributed computing is at the heart of many applications. It arises as soon as one has to solve a problem in terms of entities -- such as processes, peers, processors, nodes, or agents -- that individually have only a partial knowledge of the many input parameters associated with the problem. In particular each entity cooperating towards the common goal cannot have an instantaneous knowledge of the current state of the other entities. Whereas parallel computing is mainly concerned with 'efficiency', and real-time computing is mainly concerned with 'on-time computing', distributed computing is mainly concerned with 'mastering uncertainty' created by issues such as the multiplicity of control flows, asynchronous communication, unstable behaviors, mobility, and dynamicity. While some distributed algorithms consist of a few lines only, their behavior can be difficult to understand and their properties hard to state and prove. The aim of this book is to present in a comprehensive way the basic notions, concepts, and algorithms of distributed computing when the distributed entities cooperate by sending and receiving messages on top of an asynchronous network. The book is composed of seventeen chapters structured into six parts: distributed graph algorithms, in particular what makes them different from sequential or parallel algorithms; logical time and global states, the core of the book; mutual exclusion and resource allocation; high-level communication abstractions; distributed detection of properties; and distributed shared memory. The author establishes clear objectives per chapter and the content is supported throughout with illustrative examples, summaries, exercises, and annotated bibliographies. This book constitutes an introduction to distributed computing and is suitable for advanced undergraduate students or graduate students in computer science and computer engineering, graduate students in mathematics interested in distributed computing, and practitioners and engineers involved in the design and implementation of distributed applications. The reader should have a basic knowledge of algorithms and operating systems.

Author: Sang Hyun Lee
Publisher:
ISBN:
Category :
Languages : en
Pages : 308

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Book Description
Distributed iterative algorithms are of great importance, as they are known to provide low-complexity and approximate solutions to what are otherwise high-dimensional intractable optimization problems. The theory of message-passing based algorithms is fairly well developed in the coding, machine learning and statistical physics literatures. Even though several applications of message-passing algorithms have already been identified, this work aims at establishing that a plethora of other applications exist where it can be of great importance. In particular, the goal of this work is to develop and demonstrate applications of this class of algorithms in network communications and computational biology. In the domain of communications, message-passing based algorithms provide distributed ways of inferring the optimal solution without the aid of a central agent for various optimization problems that happen in the resource allocation of communication networks. Our main framework is Affinity Propagation (AP), originally developed for clustering problems. We reinterpret this framework to unify the development of distributed algorithms for discrete resource allocation problems. Also, we consider a network-coded communication network, where continuous rate allocation is studied. We formulate an optimization problem with a linear cost function, and then utilize a Belief Propagation (BP) approach to determine a decentralized rate allocation strategy. Next, we move to the domain of computational biology, where graphical representations and computational biology play a major role. First, we consider the motif finding problem with several DNA sequences. In effect, this is a sequence matching problem, which can be modeled using various graphical representations and also solved using low-complexity algorithms based on message-passing techniques. In addition, we address the application of message-passing algorithms for a DNA sequencing problem where the one dimensional structure of a single DNA sequence is identified. We reinterpret the problem as being equivalent to the decoding of a nonlinear code. Based on the iterative decoding framework, we develop an appropriate graphical model which enables us to derive a message-passing algorithm to improve the performance of the DNA sequencing problem. Although this work consists of disparate application domains of communications, networks and computational biology, graphical models and distributed message-passing algorithms form a common underlying theme.

Author: Savitri Bevinakoppa
Publisher: Springer Science & Business Media
ISBN: 1461549671
Category : Computers
Languages : en
Pages : 220

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Book Description
Still Image Compression on Parallel Computer Architectures investigates the application of parallel-processing techniques to digital image compression. Digital image compression is used to reduce the number of bits required to store an image in computer memory and/or transmit it over a communication link. Over the past decade advancements in technology have spawned many applications of digital imaging, such as photo videotex, desktop publishing, graphics arts, color facsimile, newspaper wire phototransmission and medical imaging. For many other contemporary applications, such as distributed multimedia systems, rapid transmission of images is necessary. Dollar cost as well as time cost of transmission and storage tend to be directly proportional to the volume of data. Therefore, application of digital image compression techniques becomes necessary to minimize costs. A number of digital image compression algorithms have been developed and standardized. With the success of these algorithms, research effort is now directed towards improving implementation techniques. The Joint Photographic Experts Group (JPEG) and Motion Photographic Experts Group(MPEG) are international organizations which have developed digital image compression standards. Hardware (VLSI chips) which implement the JPEG image compression algorithm are available. Such hardware is specific to image compression only and cannot be used for other image processing applications. A flexible means of implementing digital image compression algorithms is still required. An obvious method of processing different imaging applications on general purpose hardware platforms is to develop software implementations. JPEG uses an 8 × 8 block of image samples as the basic element for compression. These blocks are processed sequentially. There is always the possibility of having similar blocks in a given image. If similar blocks in an image are located, then repeated compression of these blocks is not necessary. By locating similar blocks in the image, the speed of compression can be increased and the size of the compressed image can be reduced. Based on this concept an enhancement to the JPEG algorithm is proposed, called Bock Comparator Technique (BCT). Still Image Compression on Parallel Computer Architectures is designed for advanced students and practitioners of computer science. This comprehensive reference provides a foundation for understanding digital image compression techniques and parallel computer architectures.

Author: Eli Gafni
Publisher: McGill-Queen's Press - MQUP
ISBN: 077357347X
Category : Science
Languages : en
Pages : 203

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Book Description
This volume contains papers presented at the First International Workshop on Distributed Algorithms. The papers present solutions to a wide spectrum of problems (leader election, resource allocation, routing, etc.) and focus on a variety of issues that influence communications complexity.

Author: Pavel Krömer
Publisher: Springer
ISBN: 3319685279
Category : Technology & Engineering
Languages : en
Pages : 403

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Book Description
This book highlights recent advances in intelligent data analysis, computational intelligence, signal processing, and all associated applications of artificial intelligence. It gathers papers presented at the ECC 2017, the Fourth Euro-China Conference on Intelligent Data Analysis and Applications. The aim of the ECC was to provide an internationally respected forum for scientific research in the broad areas of intelligent data analysis, computational intelligence, signal processing, and all associated applications of artificial intelligence (AI). The fourth installment of the ECC was jointly organized by the University of Málaga, Spain; the VŠB - Technical University of Ostrava, Czech Republic; and Fujian University of Technology, Fuzhou, China. The conference took place in Málaga, Spain on October 9–11, 2017.