Probabilistic and Statistical Methods in Computer Science

Advanced Topics in Information Technology Standards and Standardization Research is a series of books which features the most current research findings in all aspects of IT standardization research, from a diversity of angles, traversing the traditional boundaries between individual disciplines. ""Advanced Topics in Information Technology Standards and Standardization Research, Volume 1"", is a part of this series. ""Advanced Topics in Information Technology Standards and Standardization Research, Volume 1,"" presents a collection of chapters addressing a variety of aspects related to IT standards and the setting of standards. This book covers a variety of topics, such as economic aspects of standards, alliances in standardization and the relation between 'formal' standards bodies and industry consortia. It also offers a glimpse inside a standards working group, as well as a look at applications of standards in different sectors.

Healthcare is significantly affected by technological advancements, as technology both shapes and changes health systems locally and globally. As areas of computer science, information technology, and healthcare merge, it is important to understand the current and future implications of health informatics. Healthcare and the Effect of Technology: Developments, Challenges and Advancements bridges the gap between today's empirical research findings and healthcare practice. It provides the reader with information on current technological integrations, potential uses for technology in healthcare, and the implications both positive and negative of health informatics for one's health. Technology in healthcare can improve efficiency, make patient records more accessible, increase professional communication, create global health networking, and increase access to healthcare. However, it is important to consider the ethical, confidential, and cultural implications technology in healthcare may impose. That is what makes this book is a must-read for policymakers, human resource professionals, management personnel, as well as for researchers, scholars, students, and healthcare professionals.

In many organizations, Information Technology (IT) has become crucial in the support, the sustainability and the growth of the business. This pervasive use of technology has created a critical dependency on IT that calls for a specific focus on IT Governance. IT Governance consists of the leadership and organizational structures, processes and relational mechanisms that ensure that the organization's IT sustains and extends the organization's strategy and objectives. Strategies for Information Technology Governance records and interprets some important existing theories, models and practices in the IT Governance domain and aims to contribute to the understanding of IT Governance.

In Silico Chemistry and Biology: Current and Future Prospects provides a compact overview on recent advances in this highly dynamic branch of chemistry. Various methods of protein modelling and computer-assisted drug design are presented, including fragment- and ligand-based approaches. Many successful practical applications of these techniques are demonstrated. The authors also look to the future and describe the main challenges of the field.

Algorithms for VLSI Physical Design Automation, Third Edition covers all aspects of physical design. The book is a core reference for graduate students and CAD professionals. For students, concepts and algorithms are presented in an intuitive manner. For CAD professionals, the material presents a balance of theory and practice. An extensive bibliography is provided which is useful for finding advanced material on a topic. At the end of each chapter, exercises are provided, which range in complexity from simple to research level. Algorithms for VLSI Physical Design Automation, Third Edition provides a comprehensive background in the principles and algorithms of VLSI physical design. The goal of this book is to serve as a basis for the development of introductory-level graduate courses in VLSI physical design automation. It provides self-contained material for teaching and learning algorithms of physical design. All algorithms which are considered basic have been included, and are presented in an intuitive manner. Yet, at the same time, enough detail is provided so that readers can actually implement the algorithms given in the text and use them. The first three chapters provide the background material, while the focus of each chapter of the rest of the book is on each phase of the physical design cycle. In addition, newer topics such as physical design automation of FPGAs and MCMs have been included. The basic purpose of the third edition is to investigate the new challenges presented by interconnect and process innovations. In 1995 when the second edition of this book was prepared, a six-layer process and 15 million transistor microprocessors were in advanced stages of design. In 1998, six metal process and 20 million transistor designs are in production. Two new chapters have been added and new material has been included in almost allother chapters. A new chapter on process innovation and its impact on physical design has been added. Another focus of the third edition is to promote use of the Internet as a resource, so wherever possible URLs have been provided for further investigation. Algorithms for VLSI Physical Design Automation, Third Edition is an important core reference work for professionals as well as an advanced level textbook for students.

Mathematical Visualization is a young new discipline. It offers efficient visualization tools to the classical subjects of mathematics, and applies mathematical techniques to problems in computer graphics and scientific visualization. Originally, it started in the interdisciplinary area of differential geometry, numerical mathematics, and computer graphics. In recent years, the methods developed have found important applications.
The current volume is the quintessence of an international workshop in September 1997 in Berlin, focusing on recent developments in this emerging area. Experts present selected research work on new algorithms for visualization problems, describe the application and experiments in geometry, and develop new numerical or computer graphical techniques.

This volume brings together recent theoretical work in Learning Classifier Systems (LCS), which is a Machine Learning technique combining Genetic Algorithms and Reinforcement Learning. It includes self-contained background chapters on related fields (reinforcement learning and evolutionary computation) tailored for a classifier systems audience and written by acknowledged authorities in their area - as well as a relevant historical original work by John Holland.

Legged robots are a promising locomotion system, capable of performing tasks that conventional vehicles cannot. Even more exciting is the fact that this is a rapidly developing field of study for researchers from a variety of disciplines. However, only a few books have been published on the subject of multi-legged robots. The main objective of this book is to describe some of the major control issues concerning walking robots that the authors have faced over the past 10 years. A second objective is to focus especially on very large hydraulically driven hexapod robot locomotion weighing more than 2,000 kg, making this the first specialized book on this topic. The 10 chapters of the book touch on diverse relevant topics such as design aspects, implementation issues, modeling for control, navigation and control, force and impedance control-based walking, fully autonomous walking, walking and working tasks of hexapod robots, and the future of walking robots. The construction machines of the future will very likely resemble hydraulically driven hexapod robots like the ones described in this book - no longer science fiction but now a reality.

Public and situated display technologies can have an important impact on individual and social behaviour and present us with particular interesting new design considerations and challenges. While there is a growing body of research exploring these design considerations and social impact this work remains somewhat disparate, making it difficult to assimilate in a coherent manner. This book brings together the perspectives of key researchers in the area of public and situated display technology. The chapters detail research representing the social, technical and interactional aspects of public and situated display technologies. The underlying concern common to these chapters is how these displays can be best designed for collaboration, coordination, community building and mobility. Presenting them together allows the reader to examine everyday display activities within the context of emerging technological possibilities.

This book provides a framework for the design of competent optimization techniques by combining advanced evolutionary algorithms with state-of-the-art machine learning techniques. The primary focus of the book is on two algorithms that replace traditional variation operators of evolutionary algorithms, by learning and sampling Bayesian networks: the Bayesian optimization algorithm (BOA) and the hierarchical BOA (hBOA). They provide a scalable solution to a broad class of problems. The book provides an overview of evolutionary algorithms that use probabilistic models to guide their search, motivates and describes BOA and hBOA in a way accessible to a wide audience, and presents numerous results confirming that they are revolutionary approaches to black-box optimization.

Knowledge Discovery today is a significant study and research area. In finding answers to many research questions in this area, the ultimate hope is that knowledge can be extracted from various forms of data around us. This book covers recent advances in unsupervised and supervised data analysis methods in Computational Intelligence for knowledge discovery. In its first part the book provides a collection of recent research on distributed clustering, self organizing maps and their recent extensions. If labeled data or data with known associations are available, we may be able to use supervised data analysis methods, such as classifying neural networks, fuzzy rule-based classifiers, and decision trees. Therefore this book presents a collection of important methods of supervised data analysis. "Classification and Clustering for Knowledge Discovery" also includes variety of applications of knowledge discovery in health, safety, commerce, mechatronics, sensor networks, and telecommunications.

Organizational Semiotics occupies an important niche in the research community of human communication and information systems. It opens up new ways of understanding the functioning of information and information resources in organised behaviour. In recent years, a numberof workshops and conferences have provided researchers and practitioners opportunities to discuss their theories, methods and practices and to assess the benefits and potential of this approach. Literature in this field is much in demand but still difficult to find, so we are pleased to offer a third volume in the miniseries of Studies in Organizational Semiotics. This book is based on the papers and discussions of the fifth workshop on Organizational Semiotics held in Delft, June 13-15, 2002, hosted by Groningen University and Delft Technical University in the Netherlands. The topic of this workshop was the dynamics and change in organizations. The chapters in this book reflect recent developments in theory and applications and demonstrate the significance of Organizational Semiotics to information systems, human communication and coordination, organizational analysis and modelling. In particular, it provides a framework that accommodates both the technical and social aspects of information systems. The mini-series presents the frontier of the research in this area and shows how the theory and techniques enhance the quality of work on information systems.

Protein informatics is a newer name for an already existing discipline. It encompasses the techniques used in bioinformatics and molecular modeling that are related to proteins. While bioinformatics is mainly concerned with the collection, organization, and analysis of biological data, molecular modeling is devoted to representation and manipulation of the structure of proteins.

Protein informatics requires substantial prerequisites on computer science, mathematics, and molecular biology. The approach chosen here, allows a direct and rapid grasp on the subject starting from basic knowledge of algorithm design, calculus, linear algebra, and probability theory.

An Introduction to Protein Informatics, a professional monograph will provide the reader a comprehensive introduction to the field of protein informatics. The text emphasizes mathematical and computational methods to tackle the central problems of alignment, phylogenetic reconstruction, and prediction and sampling of protein structure.

An Introduction to Protein Informatics is designed for a professional audience, composed of researchers and practitioners within bioinformatics, molecular modeling, algorithm design, optimization, and pattern recognition. This book is also suitable as a graduate-level text for students in computer science, mathematics, and biomedicine.

Technology in today's world has continued to develop into multifaceted structures. The performance of computers, specifically, has significantly increased leading to various and complex problems regarding the dependability of these systems. Recently, solutions for these issues have been based on soft computing methods; however, there lacks a considerable amount of research on the applications of these techniques within system dependability. Soft Computing Methods for System Dependability is a collection of innovative research on the applications of these processing techniques for solving problems within the dependability of computer system performance. This book will feature comparative experiences shared by researchers regarding the development of these technological solutions. While highlighting topics including evolutionary computing, chaos theory, and artificial neural networks, this book is ideally designed for researchers, data scientists, computing engineers, industrialists, students, and academicians in the field of computer science.

The application of Computational Intelligence in emerging research areas such as Granular Computing, Mechatronics, and Bioinformatics shows its usefulness often emphasized by Prof Lotfi Zadeh, the inventor of fuzzy logic and many others. This book contains recent advances in Computational Intelligence methods for modeling, optimization and prediction and covers a large number of applications. The book presents new Computational Intelligence theory and methods for modeling and prediction. The range of the various applications is captured with 5 chapters in image processing, 2 chapters in audio processing, 3 chapters in commerce and finance, 2 chapters in communication networks and 6 chapters containing other applications.

This book is designed to strengthen understanding of the critical information in the framework for technology application competencies for K-12 teachers.

Bioinformatics involves specialized application of computer technology to investigative and conceptual problems in biology and medicine; neuroinformatics (NI) is the practice of bioinformatics in the neurosciences. Over the past two decades the biomedical sciences have been revolutionized by databases, data mining and data modeling techniques.

The Human Genome Project, which depended on informatics methods, has been the most well recognized bioinformatics undertaking. Bioinformatics has since been applied all across biology and medicine, and has also transformed almost every avenue in neuroscience. Yet in neuropsychology, NI perspectives remain largely unrealized. Ironically, NI offers enormous potential to the essential praxis of neuropsychology - assessing cognitive behavior and relating cognition to neural systems. Neuroinformatics can be applied to neuropsychology as richly as it has been applied across the neurosciences.

Neuroinformatics for Neuropsychology is the first book to explain the relevance and value of NI to neuropsychology. It systematically describes NI tools, applications and models that can enhance the efforts of neuropsychologists. It also describes the implications of NI for neuropsychology in the 21st century fundamental shifts away from the conventional modes of research, practice and communication that have thus far characterized the field. One of the foremost experts on the subject:

• Illustrates the vital role NI is playing throughout the neurosciences.
• Provides a sampling of NI tools and applications in neuroscience research, and lays out current organization structures that support NI.
• Describes the lack of NI in neuropsychology, differentiates between NI systems for neuropsychology and conventional computerized assessment methods, and proposes criteria for neuropsychology-specific NI systems.
• Describes NI applications and models currently in use in neuropsychology, and NI models for neuropsychology that are being pioneered in phenomics research.
• Discusses potential obstacles and aids to NI in neuropsychology, including issues such as data sharing, standardization of methods, and data ontology.
• Projects the future of neuropsychological research and practice in light of the new generation of the internet, Web 2.0, geared to collective knowledge building.

A vital introduction to a profound technological practice, Neuroinformatics for Neuropsychology is important reading for clinical neuropsychologists, cognitive neuroscientists, behavioral neurologists, and speech-language pathologists. Researchers, clinicians, and graduate students interested in informatics for the brain-behavioral sciences will especially welcome this unique volume."

This book is written from an engineer's perspective of the mind. "Artificial Mind System" exposes the reader to a broad spectrum of interesting areas in general brain science and mind-oriented studies. In this research monograph a picture of the holistic model of an artificial mind system and its behaviour is drawn, as concretely as possible, within a unified context, which could eventually lead to practical realisation in terms of hardware or software. With a view that "the mind is a system always evolving," ideas inspired by many branches of studies related to brain science are integrated within the text, i.e. artificial intelligence, cognitive science / psychology, connectionism, consciousness studies, general neuroscience, linguistics, pattern recognition / data clustering, robotics, and signal processing.

"Wireless is coming" was the message received by VLSI designers in the early 1990's. They believed it. But they never imagined that the wireless wave would be coming with such intensity and speed. Today one of the most challenging areas for VLSI designers is VLSI circuit and system design for wireless applications. New generation of wireless systems, which includes multimedia, put severe constraints on performance, cost, size, power and energy. The challenge is immense and the need for new generation of VLSI designers, who are fluent in wireless communication and are masters of mixed signal design, is great. No single text or reference book contains the necessary material to educate such needed new generation of VLSIdesigners. There are gaps. Excellent books exist on communication theory and systems, including wireless applications and others treat well basic digital, analog and mixed signal VLSI design. We feel that this book is the first of its kind to fill that gap. In the first half of this book we offer the reader (the VLSI designer) enough material to understand wireless communication systems. We start with a historical account. And then we present an overview of wireless communication systems. This is followed by detailed treatment of related topics; the mobile radio, digital modulation and schemes, spread spectrum and receiver architectures. The second half of the book deals with VLSI design issues related to mixed-signal design. These include analog-to-digital conversion, transceiver design, digital low-power techniques, amplifier design, phase locked loops and frequency synthesizers.

This book covers the recent applications of computational intelligence techniques in reliability engineering. This volume contains a survey of the contributions made to the optimal reliability design literature in recent years. It also contains chapters devoted to different applications of a genetic algorithm in reliability engineering and to combinations of this algorithm with other computational intelligence techniques.