الصفحة 16
الصفحة 16
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High-Performance Modelling and Simulation for Big Data Applications: Selected Results of the COST Action IC1406 cHiPSet

This book is the final compendium of case studies emanated from “High-Performance Modelling and Simulation for Big Data Applications” (cHiPSet).cHiPSet has created a sustainable reference network linking applied research in High Performance Computing (HPC) and Modelling & Simulation to tangibly address Big Data challenges.cHiPSet has also endeavoured to use and exploit results through Open Science practices, i.e., open access publication, open access to data repositories, and open-source software development. A testament to this philosophy, this compendium is set to become a required reference for the fast-changing fields of HPC, Big Data, and Modelling & Simulation.

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High Performance SQL Server " Consistent Response for Mission-Critical Applications

An excellent complement to query performance tuning books and provides the other half of what you need to know by focusing on configuring the instances on which mission-critical queries are executed. You will: Understand SQL Server's database engine and how it processes queries / Configure instances in support of high-throughput applications / Provide consistent response times to varying user numbers and query volumes / Design databases for high-throughput applications with focus on performance / Record performance baselines and monitor SQL Server instances against them / Troubleshot and fix performance problems

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High performance embedded architectures and compilers ; 3rd International Conference, HiPEAC 2008, Göteborg, Sweden, January 27-29, 2008. Proceedings

This book constitutes the refereed proceedings of the Third International Conference on High Performance Embedded Architectures and Compilers, HiPEAC 2008, held in Göteborg, Sweden, January 27-29, 2008. The 25 revised full papers presented together with 1 invited keynote paper were carefully reviewed and selected from 77 submissions. The papers are organized in topical sections on Multithreaded and Multicore Processors, Reconfigurable - ASIP, Compiler Optimizations, Industrial Processors and Application Parallelization, Power-Aware Techniques, High-Performance Processors, Profiles: Collection and Analysis as well as Optimizing Memory Performance.

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High performance embedded architectures and compilers ; 2nd International Conference, HiPEAC 2007, Ghent, Belgium, January 28-30, 2007. Proceedings

This book constitutes the refereed proceedings of the Second International Conference on High Performance Embedded Architectures and Compilers, HiPEAC 2007, held in Ghent, Belgium, in January 2007. The 19 revised full papers presented together with one invited keynote paper were carefully reviewed and selected from 65 submissions.

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High Performance Computing for Geospatial Applications

This volume fills a research gap between the rapid development of High Performance Computing (HPC) approaches and their geospatial applications. With a focus on geospatial applications, the book discusses in detail how researchers apply HPC to tackle their geospatial problems. Based on this focus, the book identifies the opportunities and challenges revolving around geospatial applications of HPC. Readers are introduced to the fundamentals of HPC, and will learn how HPC methods are applied in various specific areas of geospatial study.

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High performance computing for computational science - VECPAR 2008 ; 8th International Conference, Toulouse, France, June 24-27, 2008. Revised Selected Papers

This book constitutes the thoroughly refereed post-conference proceedings of the 8th International Conference on High Performance Computing for Computational Science, VECPAR 2008, held in Toulouse, France, in June 2008.The 51 revised full papers presented together with the abstract of a surveying and look-ahead talk were carefully reviewed and selected from 73 submissions. The papers are organized in topical sections on parallel and distributed computing, cluster and grid computing, problem solving environment and data centric, numerical methods, linear algebra, computing in geosciences and biosciences, imaging and graphics.

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High performance computing for computational science - VECPAR 2006 ; 7th International Conference, Rio de Janeiro, Brazil, June 10-13, 2006, Revised Selected and Invited Papers

This book constitutes the thoroughly refereed post-proceedings of the 7th International Conference on High Performance Computing for Computational Science, VECPAR 2006, held in Rio de Janeiro, Brazil, in June 2006.

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High performance computing and communications ; Vol.3726 ; 1st International Conference, HPCC 2005, Sorrento, Italy, September, 21-23, 2005, Proceedings

Constitutes the refereed proceedings of the First International Conference on High-Performance Computing and Communications, HPCC 2005, held in Sorrento, Italy. This book includes 76 revised full papers and 44 revised short papers. These papers are organized in topical sections on network protocols, routing, and algorithms; and others.

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High performance computing and communications ; Vol. 4208 : 2nd International Conference, HPCC 2006, Munich, Germany, September 13-15, 2006, Proceedings

HPCC has moved into the mainstream of c- puting and has become a key technology in future research and development activities in many academic and industrial branches, especially when the so- tion of large and complex problems must cope with very tight time constraints. The HPCC 2006 conference provides a forum for engineers and scientists in academia, industry, and governmentto address all resulting profound challenges and to present and discuss their new ideas, research results, applications, and experience on all aspects of HPCC.

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High performance computing and communications ; 3rd International Conference, HPCC 2007, Houston, USA, September 26-28, 2007, Proceedings

The 75 revised full papers address all current issues of parallel and distributed systems and high performance computing and communication, including networking protocols, embedded systems, wireless, mobile and pervasive computing, Web services and internet computing, and programming interfaces for parallel systems.

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High performance computing ; 4th International Symposium, ISHPC 2002, Kansai Science City, Japan, May 15-17, 2002. Proceedings

The objective of this symposium is to exchange the latest research results in software, architecture, and applications in HPC in a more informal and friendly atmosphere. I am delighted that the symposium is, like past successful ISHPCs, comprised of excellent invited talks, panels, workshops, as well as high-quality technical papers on various aspects of HPC. We hope that the symposium will provide an excellent opportunity for lively exchange and discussion about - rections in HPC technologies and all the participants will enjoy not only the symposium but also their stay in Kansai Science City.

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High performance computing - HiPC 2008 ; 15th International Conference, Bangalore, India, December 17-20, 2008. Proceedings

This book constitutes the refereed proceedings of the 15th International Conference on High-Performance Computing, HiPC 2008, held in Bangalore, India, in December 2008.The 46 revised full papers presented together with the abstracts of 5 keynote talks were carefully reviewed and selected from 317 submissions. The papers are organized in topical sections on applications performance optimizazion, parallel algorithms and applications, scheduling and resource management, sensor networks, energy-aware computing, distributed algorithms, communication networks as well as architecture.

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High performance computing - HiPC 2006 ; 13th International Conference Bangalore, India, December 18-21, 2006, Proceedings

Coverage in this volume includes scheduling and load balancing, network and distributed algorithms, application software, network services, ad-hoc networks, systems software, sensor networks and performance evaluation, as well as routing and data management algorithms.

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High Availability and Disaster Recovery : Concepts, Design, Implementation

Companies and other organizations depend more than ever on the availability of their Information Technology, and most mission critical business processes are IT-based processes. Business continuity is the ability to do business under any circumstances and is an essential requirement modern companies are facing. High availability and disaster recovery are contributions of the IT to fulfill this requirement. And companies will be confronted with such demands to an even greater extent in the future, since their credit ratings will be lower without such precautions. Both, high availability and disaster recovery, are realized by redundant systems. Redundancy can and should be implemented on different abstraction levels: from the hardware, the operating system and middleware components up to the backup computing center in case of a disaster. This book presents requirements, concepts, and realizations of redundant systems on all abstraction levels, and all given examples refer to UNIX and Linux systems.

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Heterogeneous Objects Modelling and Applications : Collection of Papers on Foundations and Practice

Heterogeneous object modelling is a new and quickly developing research area. This book is one of the first attempts to systematically cover the most relevant themes and problems of this new and challenging subject area. It is a collection of invited papers and papers co-authored by the editors. Each chapter presents either new research results or a survey on the following topics:Formal models and abstractions of heterogeneous objects including geometric, topological, discrete and continuous models, operations forming special algebras and conversions between different model types.

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Heterogeneity in statistical genetics : How to assess, address, and account for mixtures in association studies

Heterogeneity, or mixtures, are ubiquitous in genetics. Even for data as simple as mono-genic diseases, populations are a mixture of affected and unaffected individuals. Still, most statistical genetic association analyses, designed to map genes for diseases and other genetic traits, ignore this phenomenon.In this book, we document methods that incorporate heterogeneity into the design and analysis of genetic and genomic association data. Among the key qualities of our developed statistics is that they include mixture parameters as part of the statistic, a unique component for tests of association. A critical feature of this work is the inclusion of at least one heterogeneity parameter when performing statistical power and sample size calculations for tests of genetic association.

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Hebbian Learning and Negative Feedback Networks

This book is the outcome of a decade’s research into a speci?c architecture and associated learning mechanism for an arti?cial neural network: the - chitecture involves negative feedback and the learning mechanism is simple Hebbian learning. The research began with my own thesis at the University of Strathclyde, Scotland, under Professor Douglas McGregor which culminated with me being awarded a PhD in 1995 [52], the title of which was “Negative Feedback as an Organising Principle for Arti?cial Neural Networks”. Naturally enough, having established this theme, when I began to sup- vise PhD students of my own, we continued to develop this concept and this book owes much to the research and theses of these students at the Applied Computational Intelligence Research Unit in the University of Paisley . All of Chapters 3 to 8 deal with single stream arti?cial neural networks.

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Hearing faces

Our project aims to aid deaf-mute people by tracking hand movements of the deaf-mute person for word level American Sign Language using WLASL model that include 2D CNN -3D CNN and RNN networks training on WLASL large video dataset, then generating the corresponding text and analyzing the person's facial gestures to generate information related to the tone of voice that is most appropriate to the person's age, gender, and race through MTCNN network algorithm that training on generated dataset by us depending on blending VOXCELEB dataset and VGGFACE dataset .

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Healthcare solutions using machine learning and informatics

Covers novel and innovative solutions for the healthcare that apply machine learning and biomedical informatics technology. The healthcare sector is one of the most critical in society. This book presents a series of artificial intelligence, machine learning, intelligent IoT-based solutions for medical image analysis, medical big data processing, disease predictions. Machine learning and artificial intelligence use cases in healthcare presented in the book give researchers, practitioners, and students a wide range of practical examples of cross-domain convergence. The wide variety of topics covered include: Artificial Intelligence in healthcare Machine learning solutions for such disease as diabetes, arthritis, cardiovascular disease, and COVID-19 Big data analytics solutions for healthcare data processing Reliable biomedical applications using AI models Intelligent IoT in healthcare. The book explains fundamental concepts as well as the advanced use cases illustrating how to apply emerging technologies such as machine learning, AI models, data informatics into practice to tackle challenges in the field of healthcare with real-world scenarios. Chapters contributed by noted academicians and professionals examine various solutions, frameworks, applications, case studies, and best practices in the healthcare domain

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Health Information Science ; 9th International Conference, HIS 2020, Amsterdam, The Netherlands, October 20–23, 2020, Proceedings

This book constitutes the proceedings of the 9th International Conference on Health Information Science, HIS 2020, which took place in Amsterdam, The Netherlands, during October 20-23, 2020. The 11 full papers and 6 short papers presented in this volume were carefully reviewed and selected from 62 submissions. They were organized in topical sections named: mental health; medical record processing; medical information systems; medical diagnosis with machine learning; and health behavior and medication.

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