Advanced Algorithms and Architectures for Speech Understanding, Giancarlo Pirani
Автор: Sung Название: Algorithms in Bioinformatics ISBN: 1420070339 ISBN-13(EAN): 9781420070330 Издательство: Taylor&Francis Рейтинг: Цена: 13779.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents an introduction to the algorithmic techniques applied in bioinformatics. For each topic, this title details the biological motivation, defines the corresponding computational problems, and includes examples to illustrate each algorithm.
Автор: Shadi Ibrahim; Kim-Kwang Raymond Choo; Zheng Yan; Название: Algorithms and Architectures for Parallel Processing ISBN: 3319654810 ISBN-13(EAN): 9783319654812 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Parallel and distributed architectures.- Software systems and programming models.- Distributed and network-based computing.- Big data and its applications.- Parallel and distributed algorithms.- Applications of parallel and distributed computing.- Service dependability and security in distributed and parallel systems.- Service dependability and security in distributed and parallel systems.- Performance modeling and evaluation.
Автор: Guojun Wang; Albert Zomaya; Gregorio Martinez; Ken Название: Algorithms and Architectures for Parallel Processing ISBN: 3319271180 ISBN-13(EAN): 9783319271187 Издательство: Springer Рейтинг: Цена: 13416.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Parallel and distributed architectures.- Distributed and network-based computing.- Internet of things and cyber-physical-social computing.- Big data and its applications.- Parallel and distributed algorithms.- Applications of parallel and distributed computing.- Service dependability and security in distributed and parallel systems.- Software systems and programming models.- Performance modeling and evaluation.
Автор: Joanna Kolodziej; Benjamino Di Martino; Domenico T Название: Algorithms and Architectures for Parallel Processing ISBN: 3319038583 ISBN-13(EAN): 9783319038582 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Clustering and change detection of multiple streaming time series.- Layer-based Scheduling of Parallel Tasks for Heterogeneous Cluster Platforms.- Deadline-Constrained Workflow Scheduling in Volunteer Computing Systems.- Is Sensor Deployment using Gaussian Distribution Energy Balanced.- Shedder: a Metadata Sharing Management Method across Multi-Clusters.- PDB: A Reliability-Driven Data Reconstruction Strategy Based on Popular Data Backup for RAID4 SSD Arrays.- Load and Thermal-aware VM Scheduling on the Cloud.- Optimistic Concurrency Control for Energy Efficiency in the Wireless Environment.- Pastry Grid CP: A Decentralized Rollback-Recovery Protocol for Desktop Grid Systems.- Improving Continuation-Powered Method-Level Speculation for JVM Applications.- Unimodular loop transformations with source-to-source translation for GPUs.- HMHS: Hybrid Multistage Heuristic Scheduling Algorithm for Heterogeneous MapReduce System.- Candidate set parallelization strategies for Ant Colony Optimization on the GPU.- Synchronization-Reducing Variants of the Biconjugate Gradient and the Quasi-Minimal Residual Methods.- Hardware-assisted Intrusion Detection by Preserving Reference Information Integrity.
Автор: Magdy A. Bayoumi Название: Parallel Algorithms and Architectures for DSP Applications ISBN: 1461367867 ISBN-13(EAN): 9781461367864 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Over the past few years, the demand for high speed Digital Signal Proces- sing (DSP) has increased dramatically. New applications in real-time image processing, satellite communications, radar signal processing, pattern recogni- tion, and real-time signal detection and estimation require major improvements at several levels; algorithmic, architectural, and implementation. These perfor- mance requirements can be achieved by employing parallel processing at all levels. Very Large Scale Integration (VLSI) technology supports and provides a good avenue for parallelism. Parallelism offers efficient sohitions to several problems which can arise in VLSI DSP architectures such as: 1. Intermediate data communication and routing: several DSP algorithms, such as FFT, involve excessive data routing and reordering. Parallelism is an efficient mechanism to minimize the silicon cost and speed up the pro- cessing time of the intermediate middle stages. 2. Complex DSP applications: the required computation is almost doubled. Parallelism will allow two similar channels processing at the same time. The communication between the two channels has to be minimized. 3. Applicatilm specific systems: this emerging approach should achieve real-time performance in a cost-effective way. 4. Testability and fault tolerance: reliability has become a required feature in most of DSP systems. To achieve such property, the involved time overhead is significant. Parallelism may be the solution to maintain ac- ceptable speed performance.
Minimize Power Consumption and Enhance User Experience
Essential for high-speed fifth-generation mobile networks, mobile cloud computing (MCC) integrates the power of cloud data centers with the portability of mobile computing devices. Mobile Cloud Computing: Architectures, Algorithms and Applications covers the latest technological and architectural advances in MCC. It also shows how MCC is used in health monitoring, gaming, learning, and commerce.
The book examines computation within a mobile device; the evolution, architecture, and applications of cloud computing; the integration of mobile computing and cloud computing; offloading strategies that address constraints such as poor battery life; and green technologies to optimize mobile power consumption. It also presents various resource allocation schemes of MCC, the architecture and applications of sensor MCC, the new concept of mobile social cloud, security and privacy issues in MCC, and different types of trust in MCC.
In addition, the book explains how to integrate MCC with vehicular networks, compares economic models, and explores the application of MCC to mobile learning, vehicle monitoring, digital forensic analysis, health monitoring, and other areas. The book concludes with a discussion of possible solutions to challenges such as energy efficiency, latency minimization, efficient resource management, billing, and security.
Описание: Parallel computers have started to completely revolutionize scientific computation. Major advances are discussed dealing with multiprocessor architectures, parallel algorithm development and analysis, parallel systems and programming languages.
Автор: Carretero Название: Algorithms and Architectures for Parallel Processing ISBN: 3319499556 ISBN-13(EAN): 9783319499550 Издательство: Springer Рейтинг: Цена: 9224.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed workshop proceedings of the 16th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2016, held in Granada, Spain, in December 2016. The 30 full papers presented were carefully reviewed and selected from 58 submissions. They cover many dimensions of parallel algorithms and architectures, encompassing fundamental theoretical approaches, practical experimental projects, and commercial components and systems trying to push beyond the limits of existing technologies, including experimental efforts, innovative systems, and investigations that identify weaknesses in existing parallel processing technology.
Автор: Blewitt, John Название: Understanding sustainable development ISBN: 041570782X ISBN-13(EAN): 9780415707824 Издательство: Taylor&Francis Рейтинг: Цена: 5051.00 р. Наличие на складе: Нет в наличии.
Описание: This new and expanded edition builds upon the first edition’s powerful multi-perspective approach and breath of coverage. A truly comprehensive introduction to sustainable development, it is designed specifically to allow access to the topic from a wide range of educational and professional backgrounds and to develop understanding of a diversity of approaches and traditions at different levels. This second edition includes: a complete update of the text, with increased coverage of major topics including ecosystems; production and consumption; business; urban sustainability; governance; new media technologies; conservation; leadership; globalization and global crises; sustainability literacy and learning; more examples from the Global South and North America, while retaining its unique coverage of first world countries; chapter aims at the start and summaries at the end of each chapter; glossary of key terms; a new chapter on Conservation with a focus on behaviour change and values; a brand new website which includes discussion of how projects are done on the ground, additional exercises and online cases, test questions and recommended readings and films. Offering boxed examples from the local to the global, Understanding Sustainable Development is the most complete guide to the subject for course leaders, undergraduates and postgraduates.
A comprehensive introduction to the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications.
Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context.
After discussing the trajectory from data to insight to decision, the book describes four approaches to machine learning: information-based learning, similarity-based learning, probability-based learning, and error-based learning. Each of these approaches is introduced by a nontechnical explanation of the underlying concept, followed by mathematical models and algorithms illustrated by detailed worked examples. Finally, the book considers techniques for evaluating prediction models and offers two case studies that describe specific data analytics projects through each phase of development, from formulating the business problem to implementation of the analytics solution. The book, informed by the authors' many years of teaching machine learning, and working on predictive data analytics projects, is suitable for use by undergraduates in computer science, engineering, mathematics, or statistics; by graduate students in disciplines with applications for predictive data analytics; and as a reference for professionals.
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