Networking and Parallel/Distributed Computing 2011

The synergy between Artificial Intelligence (AI) and the Internet of Things (IoT) is shaping the future of technology and opening a world of unprecedented possibilities. Artificial Intelligence of Things (AIoT): Current and Future Trends brings together researchers and developers from a wide range of domains to share with readers their ideas about how to implement technical advances, application areas for intelligent systems, and development of new services and smart devices connected to the Internet through a variety of wireless technologies. Parallel to this, new capabilities such as pervasive sensing, multimedia sensing, machine learning, deep learning, and computing power are opening the way to new domains, services, and business models beyond the traditional mobile Internet. These new areas in turn come with various requirements in terms of reliability, quality of service, and energy efficiency. In Artificial Intelligence of Things readers learn about the challenges and requiremen

When several computers have to cooperate to achieve a certain task (i.e. distributed computing) we need 'recipes' (i.e. protocols) to tell them what to do. Unfortunately, human minds are not well suited to keeping track of what might happen given even a very simple protocol. In this book Dr Schoone shows how we can derive properties of those protocols that always hold (i.e. invariants), irrespective of what actually happens in an execution of the protocol. From these invariants the basic attributes of the protocols can be obtained. Each protocol is explained intuitively, proved correct using invariants, and analysed to establish the relation between parameter settings and its essential features. The protocols belong to a wide range of layers in the ISO reference model hierarchy, and include the following: a class of communication protocols that tolerate and correct message loss, duplication, and resequencing; protocols for determining and maintaining routing information, both in a stat

Perceptual organization is the neuro-cognitive process that enables us to perceive scenes as structured wholes consisting of objects arranged in space. Simplicity in Vision explores the intriguing idea that these perceived wholes are given by the simplest organizations of the scenes. Peter A. van der Helm presents a truly multidisciplinary approach to answer fundamental questions such as: Are simplest organizations sufficiently reliable to guide our actions? What is the nature of the regularities that are exploited to arrive at simplest organizations? To account for the high combinatorial capacity and speed of the perceptual organization process, he proposes transparallel processing by hyperstrings. This special form of distributed processing not only gives classical computers the extraordinary computing power that seemed reserved for quantum computers, but also explains how neuronal synchronization relates to flexible self-organizing cognitive architecture in between the relatively ri

Perceptual organization is the neuro-cognitive process that enables us to perceive scenes as structured wholes consisting of objects arranged in space. Simplicity in Vision explores the intriguing idea that these perceived wholes are given by the simplest organizations of the scenes. Peter A. van der Helm presents a truly multidisciplinary approach to answer fundamental questions such as: Are simplest organizations sufficiently reliable to guide our actions? What is the nature of the regularities that are exploited to arrive at simplest organizations? To account for the high combinatorial capacity and speed of the perceptual organization process, he proposes transparallel processing by hyperstrings. This special form of distributed processing not only gives classical computers the extraordinary computing power that seemed reserved for quantum computers, but also explains how neuronal synchronization relates to flexible self-organizing cognitive architecture in between the relatively ri

作者簡介曾煜棋 (Yu-Chee Tseng) 教授/系主任美國俄亥俄州立大學博士目前任教於國立交通大學資訊工程學系Research Interests: ‧ Wireless Communications and Networks ‧ Communication Protocols ‧ Mobile Computing ‧ Parallel and Distributed Computing ‧

This book constitutes the proceedings of the workshops of the 23rd International Conference on Parallel and Distributed Computing, Euro-Par 2017, held in Santiago de Compostela. Spain in August 2017

With the coming of the parallel computing era, computer scientists have turned their attention to designing programming models that are suited for high-performance parallel computing and supercomputin

Developments in parallel computing in recent years have made it possible to build multi-processor architectures that enable efficiency and speed in today's computing environment. Parallel Algorithms a

Communications of ACMInternet ResearchIEEE Transactions on Parallel and Distributed SystemsParallel ComputingIEEE Transactions on ComputersACM Transactions on Computer Systems

GAME DEVELOPMENT WITH MICROSOFT DIRECTCOMPUTE teaches the theories behind parallel computing and computing on the graphics card, and provides hands-on examples of real tasks that could be solved using

This book presents task-scheduling techniques for emerging complex parallel architectures including heterogeneous multi-core architectures, warehouse-scale datacenters, and distributed big data proces

McClelland and Rumelhart's Parallel Distributed Processing was the first book to present a definitive account of the newly revived connectionist/neural net paradigm for artificial intelligence and cog

With contributions from prominent researchers, this is a comprehensive review of state-of-the-art architectures, protocols, technologies and applications in pervasive computing and wireless networking

Self-stabilization, an important concept to theoreticians and practitioners in distributed computing and communication networks, refers to a system's ability to recover automatically from unexpected f

This book provides a systematic, foundational introduction to automatic alignment of parallel texts, a family of essential corpus analysis techniques for computing and learning the mappings between co

This book discusses advanced topics such as R core programing, object oriented R programing, parallel computing with R, and spatial data types. The author leads readers to merge mature and effective m

A hands-on, code-based guide to leveraging Julia in a variety of scientific and data-driven scenarios Key Features: Augment your basic computing skills with an in-depth introduction to JuliaFocus on topic-based approaches to scientific problems and visualisationBuild on prior knowledge of programming languages such as Python, R, or C/C++Purchase of the print or Kindle book includes a free PDF eBook Book Description: Julia is a well-constructed programming language which was designed for fast execution speed by using just-in-time LLVM compilation techniques, thus eliminating the classic problem of performing analysis in one language and translating it for performance in a second.This book is a primer on Julia's approach to a wide variety of topics such as scientific computing, statistics, machine learning, simulation, graphics, and distributed computing.Starting off with a refresher on installing and running Julia on different platforms, you'll quickly get to grips with the core concept

"Vector Models for Data-Parallel Computing "describes a model of parallelism that extends and formalizes the Data-Parallel model on which the Connection Machine and other supercomputers are based. It

McClelland and Rumelhart's "Parallel Distributed Processing "was the first book to present a definitive account of the newly revived connectionist/neural net paradigm for artificial intelligence and c

本計畫以水利署洪水預報系統(Distributed Runoff And Inundation Nowcast System，簡稱DRAINS)為基礎，建置九河局轄區內花蓮溪、秀姑巒溪建置洪水預報系統。DRAINS是水利署於2005至2011年持續開發之洪水預報系統，可於颱風時期自動化啟動執行，目前應用於淡水河等15條中央管河川，以及2條縣管河川：台東縣太麻里溪流域，屏東縣林邊溪流域。