Intelligent Algorithms in Ambient and Biomedical Computing
Description
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
Download
http://s18.alxa.net/s18/srvs2/02/003....Computing.rar
Description
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
Download
http://s18.alxa.net/s18/srvs2/02/003....Computing.rar