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Intelligent Algorithms in Ambient and Biomedical Computing

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    Intelligent Algorithms in Ambient and Biomedical Computing











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    Intelligent Algorithms in Ambient and Biomedical Computing

    Springer; 1 edition -- September 14, 2006 -- ISBN-10: 1402049536 -- 342 pages -- PDF -- 2.02 MB



    This book is the outcome of a series of discussions at the Philips Symposium on Intelligent Algorithms, held in Eindhoven in December 2004. It offers exciting and practical examples of the use of intelligent algorithms in ambient and biomedical computing. It contains topics such as bioscience computing, database design, machine consciousness, scheduling, video summarization, audio classification, semantic reasoning, machine learning, tracking and localization, secure computing, and communication.









    Preface

    The rapid growth in electronic systems in the past decade has boosted research

    in the area of computational intelligence. As it has become increasingly

    easy to generate, collect, transport, process, and store huge amounts of data,

    the role of intelligent algorithms has become prominent in order to visualize,

    manipulate, retrieve, and interpret the data. For instance, intelligent search

    techniques have been developed to search for relevant items in huge collections

    of web pages, and data mining and interpretation techniques play a very

    important role in making sense out of huge amounts of biomolecular measurements.

    As a result, the added value of many modern systems is no longer

    determined by hardware only, but increasingly by the intelligent software that

    supports and facilitates the user in realizing his or her objectives.



    Over the past years, considerable progress has been made in the area of computational

    intelligence, which can be positioned at the intersection of computer

    science, discrete mathematics, and cognitive science. This has led to a growing

    community of practitioners within Philips Research that develop, analyze,

    and apply intelligent algorithms. The Symposium on Intelligent Algorithms

    (SOIA) intends to provide this community of practitioners with a platform to

    exchange information. The first edition of SOIA, held in 2002, addressed the

    topic of intelligent algorithms in ambient intelligence. To share the output of

    the symposium with a larger audience, a selection of papers was edited and

    published by Kluwer in the Philips Research Book Series under the title “Algorithms

    in Ambient Intelligence.” For the second edition, held in 2004, the

    scope of the symposium was broadened so as to comply with the three main

    logy. Again a selection of papers was edited, resulting in the present book. It

    topics of the Philips company strategy, i.e., Healthcare, Lifestyle and Techno-

    consists of 17 chapters, divided over three parts corresponding to the strategic

    topics mentioned above. The main topic in Healthcare is the understanding

    of biological processes, for Lifestyle the main topic is content retrieval and

    manipulation, and finally for Technology most contributions relate to media

    processing. Below we present more detailed information about the individual

    chapters.



    Part I consists of four chapters. In Chapter 1, Chris Clack discusses the

    topic of modeling biological systems, thus allowing to perform in-silico experiments

    by means of computer simulation, to formulate hypotheses. In Chapter

    2, Nevenka Dimitrova gives an overview of the reverse approach, where one

    does not use computers to simulate biological processes, but where one uses

    biology to perform computations, in DNA computing and synthetic biology.

    In Chapter 3, Martin Kersten and Arno Siebes discuss data management inspired

    by biology, resulting in an organic database system. In Chapter 4, Kees

    van Zon discusses how to achieve machine consciousness, and how it can be

    applied.



    content management and retrieval. In Chapter 5, Wim Verhaegh discusses the

    Par tII consists of eight chapters, addressing problems from the area of

    problem of making a schedule of preferred TV programs, while at the same

    time selecting TV programs for recording, under the assumption of a limited

    number of tuners. In Chapter 6, Mauro Barbieri, Nevenka Dimitrova, and

    Lalitha Agnihotri present a technique to automatically summarize video into a

    condensed preview, allowing one to quickly browse and access large amounts

    of stored programs. Chapters 7–9 concerns audio applications. First, Janto

    Skowronek and Martin McKinney discuss in Chapter 7 the topic of automatic

    classification of audio and music, for which they developed the automatic extraction

    of the higher-level feature of percussiveness. In Chapter 8, Steffen

    Pauws presents a technique to automatically extract the key from a piece of

    music, providing an emotional connotation to it, and making it possible to

    build well-sounding music mixes. In Chapter 9, Zharko Aleksovski, Warner

    ten Kate, and Frank van Harmelen address the problem of combining multiple

    databases of music data in a semantic way, by approximating matches of music

    classes. Next, Jan Korst, Gijs Geleijnse, Nick de Jong, and Michael Verschoor

    discuss in Chapter 10 the possibilities to fill a knowledge database, using an

    ontology to collect and structure data from web pages. In the last chapter of

    part II, which Wim Verhaegh, Aukje van Duijnhoven, Pim Tuyls, and Jan Korst

    resolve the privacy issue of population-based recommenders by encrypting

    the users’ profiles and performing the required algorithms on encrypted data.

    Part III consists of six chapters, focusing on the technology underlying intelligent

    algorithms and intelligent systems. The first two chapters discuss

    theoretical aspects of intelligent algorithms. In Chapter 12, Peter Gr

    ¨

    unwald

    gives an overview on the minimum description length principle to resolve the

    problem of model selection, based on the fundamental idea to see learning as

    a form of data compression. In Chapter 13, Herman ter Horst discusses the

    computational complexity of reasoning with semantic web ontologies, such as

    RDF Schema and OWL. Next, Wojciech Zajdel, Ben Kr

    ¨

    ose, and Nikos Vlassis

    present in Chapter 14 an introduction to dynamic Bayesian networks, and

    show their application in robot localization and multiple-person tracking. In

    Chapter 15, Berry Schoenmaker and Pim Tuyls discuss efficient protocols for

    securely matching two user profiles, without leaking information on the details

    of the profiles. Finally, Chapters 16 and 17 address resource issues in

    intelligent systems. In Chapter 16, Sai Shankar N., Richard Chen, Ruediger

    Schmitt, Chun-Ting Chou, and Kang Shin revisit fairness in multi-rate wireless

    networks, and present a solution to fairly schedule airtime. Finally, in

    Chapter 17, Akash Kumar and Sergei Sawitzki discuss the design alternatives

    of Reed Solomon decoders, and address the problem of making optimal design

    decisions to obtain a high-throughput, low-power solution.

    We are convinced that the chapters presented in this book comprise an interesting

    collection of examples of the use of intelligent algorithms in different

    settings, and that the book reconfirms that the area of computational intelligence

    is a truly challenging field of research.



    WIM F.J. VERHAEGH,EMILE AARTS, AND JAN KORST

    Philips Research Laboratories Eindhoven









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