الصفحة 1
الصفحة 1
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Network control and engineering for QoS, security and mobility, V ; IFIP 19th World Computer Congress,TC-6, 5th IFIP International conference on network control and engineering for QoS, security, and mobility, August 20-25, 2006, Santiago, Chile

International Federation for Information Processing The IFIP series publishes state-of-the-art results in the sciences and technologies of information and communication. The scope of the series includes: foundations of computer science; software theory and practice; education; computer applications in technology; communication systems; systems modeling and optimization; information systems; computers and society; computer systems technology; security and protection in information processing systems; artificial intelligence; and human-computer interaction. Proceedings and post-proceedings of referred international conferences in computer science and interdisciplinary fields are featured. These results often precede journal publication and represent the most current research. The principal aim of the IFIP series is to encourage education and the dissemination and exchange of information about all aspects of computing.

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Motion in Games ; 1st International Workshop, MIG 2008, Utrecht, The Netherlands, June 14-17, 2008. Revised Papers

This book constitutes the thoroughly refereed post-workshop proceedings of the First International Workshop on Motion in Games, held in Utrecht, The Netherlands, during June 14-17, 2008, in collaboration with the NLGD Festival of Games.The 24 revised papers presented during the workshop cover topics on crowd simulation; virtual humans; motion synthesis; interfaces; navigation and steering; and facial and behavioral animation.

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Foundation Flash CS3 Video

Video is one of the most exciting features on today's Internet, with widespread adoption being made possible by advances in bandwidth and software. But simply streaming video clips to Web users is only the tip of the iceberg! Flash CS3 offers a whole host of advanced video features, allowing you to create breathtaking user experiences. And this book, the second edition of the critically-acclaimed Foundation Flash 8 Video, shows you how to make the most of video in Flash CS3. The authors start with the basics of creating video ready for use on the web using popular applications such as Windows Movie Maker and iMovie, creating FLV (Flash video) using both Flash and other applications such as Sorenson Squeeze, and importing that video into Flash.

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Flexible and Efficient Information Handling ; 23rd British National Conference on Databases, BNCOD 23, Belfast, Northern Ireland, UK, July 18-20, 2006, Proceedings

This book constitutes the refereed proceedings of the 23rd British National Conference on Databases, BNCOD 23, held in Belfast, Northern Ireland, July 2006. The volume presents 12 revised full papers and 6 revised short papers, together with 2 invited lectures and 13 poster papers. Topical sections include data modelling and architectures and transaction management, data integration and interoperability and information retrieval, query processing and optimisation, data mining, data warehousing and more.

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Dynamic and robust streaming in and between connected consumer-electronic devices

This book provides a comprehensive overview of the challenges that face us. The book shows that there are many similarities between traditional networking and networks in the chip. However, there are some different operational conditions that lead to original solutions.

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Management of Converged Multimedia Networks and Services ; 11th IFIP/IEEE International Conference on Management of Multimedia and Mobile Networks and Services, MMNS 2008, Samos Island, Greece, September 22-26, 2008. Proceedings

This volume presents the proceedings of the 11th IFIP/IEEE International Conference on Management of Multimedia and Mobile Networks and Services (MMNS 2008), which was held on Samos, Greece during September 22–26 as part of the 4th International Week on Management of Networks and Services (Manweek 2008). As in the previous three years, the Manweek umbrella - lowed an international audience of researchers and scientists from industry and academia – who are researching and developing management systems – to share views and ideas and present their state-of-the-art results. The other events co-located with Manweek 2008 were the 19th IFIP/IEEE International Workshop on Distributed Systems.

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Artificial intelligence hardware design : Challenges and solutions

Learn foundational and advanced topics in Neural Processing Unit design with real-world examples from leading voices in the field. A thorough introduction to neural networks and neural network development history, as well as Convolutional Neural Network (CNN) models Explorations of various parallel architectures, including the Intel CPU, Nvidia GPU, Google TPU, and Microsoft NPU, emphasizing hardware and software integration for performance improvement Discussions of streaming graph for massive parallel computation with the Blaize GSP and Graphcore IPU An examination of how to optimize convolution with UCLA Deep Convolutional Neural Network accelerator filter decomposition

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Approximation, randomization, and combinatorial optimization algorithms and techniques ; 9th International Workshop on approximation algorithms for combinatorial optimization problems, APPROX 2006 and 10th International Workshop on Randomization and Computation, RANDOM 2006, Barcelona, Spain, August 28-30, 2006, Proceedings

This is the joint refereed proceedings of the 9th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2006 and the 10th International Workshop on Randomization and Computation, RANDOM 2006. The book presents 44 carefully reviewed and revised full papers. Among the topics covered are design and analysis of approximation algorithms, hardness of approximation problems, small spaces and data streaming algorithms, embeddings and metric space methods, and more.

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Anti-fragile ICT Systems

Introduces a novel approach to the design and operation of large ICT systems. It views the technical solutions and their stakeholders as complex adaptive systems and argues that traditional risk analyses cannot predict all future incidents with major impacts. To avoid unacceptable events, it is necessary to establish and operate anti-fragile ICT systems that limit the impact of all incidents, and which learn from small-impact incidents how to function increasingly well in changing environments. The book applies four design principles and one operational principle to achieve anti-fragility for different classes of incidents. It discusses how systems can achieve high availability, prevent malware epidemics, and detect anomalies. Analyses of Netflix’s media streaming solution, Norwegian telecom infrastructures, e-government platforms, and Numenta’s anomaly detection software show that cloud computing is essential to achieving anti-fragility for classes of events with negative impacts.

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Algorithms and data structures for massive datasets

Learn: Probabilistic sketching data structures for practical problems Choosing the right database engine for your application Evaluating and designing efficient on-disk data structures and algorithms Understanding the algorithmic trade-offs involved in massive-scale systems Deriving basic statistics from streaming data Correctly sampling streaming data Computing percentiles with limited space resources Algorithms and Data Structures for Massive Datasets reveals a toolbox of new methods that are perfect for handling modern big data applications. You'll explore the novel data structures and algorithms that underpin Google, Facebook, and other enterprise applications that work with truly massive amounts of data. These effective techniques can be applied to any discipline, from finance to text analysis. Graphics, illustrations, and hands-on industry examples make complex ideas practical to implement in your projects--and there's no mathematical proofs to puzzle over. Work through this one-of-a-kind guide, and you'll find the sweet spot of saving space without sacrificing your data's accuracy. About the Technology Standard algorithms and data structures may become slow--or fail altogether--when applied to large distributed datasets. Choosing algorithms designed for big data saves time, increases accuracy, and reduces processing cost.

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Advances in multimedia information processing - PCM 2004 ; 5th Pacific Rim conference on multimedia, Tokyo, Japan, November 30 - December 3, 2004, Proceedings, Part II

"This book constitutes the proceedings of the International Conference on 5th Multimedia, Tokyo, Japan, 2004. Part II includ :Topics Multimedia Information Systems Information Storage and Retrieval Computer Communication Networks Information Systems Applications (incl. Internet) Image Processing and Computer Vision Computer Graphics

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AdvancED Flex 3

Divided into three parts. The first part discusses the architectural and design aspects of Flex 3 application development. It explains the internals of a Flex 3 application and advocates a few best practices to fine-tune your application to ensure maximum performance. It includes tutorials on creating custom components, data binding, and creating AIR-powered desktop applications. The second part concentrates on effectively integrating Flex 3 with server- and client-side technologies. Techniques for integration with Java and PHP are covered in detail, and content covering interaction with client-side technologies is also included. After reading the chapter on JavaScript integration, you will be ready to create applications that can use Ajax and Flex 3 together. The third and final part of the book is a unique and eclectic mix of some advanced topics like mash-ups, collaborative applications, 3D rendering, highly interactive visualization, and audio and video streaming.

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Advanced data mining and applications ; Vol. 4093 : 2nd International Conference, ADMA 2006, Xi'an, China, August 14-16, 2006, Proceedings

This book constitutes the refereed proceedings of the Second International Conference on Advanced Data Mining and Applications, ADMA 2006, held in Xi'an, China in August 2006. The 41 revised full papers and 74 revised short papers presented together with 4 invited papers were carefully reviewed and selected from 515 submissions. The papers are organized in topical sections on association rules, classification, clustering, novel algorithms, text mining, multimedia mining, sequential data mining and time series mining, web mining, biomedical mining, advanced applications, security and privacy issues, spatial data mining, and streaming data mining.

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Advanced data mining and applications ; Vol. 3584 ; 1st International Conference, ADMA 2005, Wuhan, China, July 22-24, 2005, Proceedings

This book constitutes the refereed proceedings of the First International Conference on Advanced Data Mining and Applications, ADMA 2005, held in Wuhan, China in July 2005. The 25 revised full papers and 75 revised short papers presented were carefully peer-reviewed and The papers are organized in topical sections on association rules, classification, clustering, novel algorithms, text mining, multimedia mining, sequential data mining and time series mining, web mining, biomedical mining, advanced applications, security and privacy issues, spatial data mining, and streaming data mining.

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Adaptive Machine Learning Algorithms with Python : Solve Data Analytics and Machine Learing Problems on Edge Devices

Learn to use adaptive algorithms to solve real-world streaming data problems. This book covers a multitude of data processing challenges, ranging from the simple to the complex. At each step, you will gain insight into real-world use cases, find solutions, explore code used to solve these problems, and create new algorithms for your own use. You will: Apply adaptive algorithms to practical applications and examples / Understand the relevant data representation features and computational models for time-varying multi-dimensional data / Derive adaptive algorithms for mean, median, covariance, eigenvectors (PCA) and generalized eigenvectors with experiments on real data / Speed up your algorithms and put them to use on real-world stationary and non-stationary data / Master the applications of adaptive algorithms on critical edge device computation applications

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