الصفحة 37
الصفحة 37
Information and Management Systems for Product Customization
This book consists of three parts. In the first part, within the theoretical basics of mass customization are discussed, and within the theoretical context, the main problems that are encountered with the implementation of mass customization are outlined. Part two deals with the development of appropriate information systems for mass customization. Part three discusses the topic of product modularity. More specifically, this part develops a managerial approach or tool to assess and solve complexity issues induced by the variety of needs expressed by customers. Using the tools and the conceptual frameworks developed in INFORMATION AND MANAGEMENT SYSTEMS FOR PRODUCT CUSTOMIZATION, the main problems of mass customization can be resolved. The book is the result of a privately funded, multi-year research project on "Modeling Planning, and Assessment of Business Transformation Processes in the area of Mass Customization."
Information and knowledge : A constructive type-theoretical approach
This book develops a philosophical and logical interpretation of the concept of information within the formal structure of Constructive Type Theory (CTT), in a manner concurrent with a diverse range of contemporary perspectives on the philosophy of information. On the basis of this conceptual framework, the problem of analyticity for logical derivations is faced and a solution is proposed.The text begins with a presentation of the formal structure of CTT, paying particular attention to some topics that have been neglected by current researchers in Type Theory. Information and Knowledge presents a new interesting perspective on the constructive interpretation of knowledge processes, suggesting the reliability of such an approach for the logical modeling of epistemic problems and proposing a unifying frame from one of the more important contemporary philosophical perspectives.
Information and Complexity in Statistical Modeling
The main theme in this book is to teach modeling based on the principle that the objective is to extract the information from data that can be learned with suggested classes of probability models. The intuitive and fundamental concepts of complexity, learnable information, and noise are formalized, which provides a firm information theoretic foundation for statistical modeling.
Information and communication technologies in tourism 2006 ; Proceedings of the International Conference in Lausanne, Switzerland, 2006
This collection of papers presented at the 13th ENTER Conference represents a unique opportunity of sharing knowledge with researchers bridging the fields of travel and tourism, and information and communication technologies. This year’s 40 full research papers and 23 work in progress presentations cover the following topics: meta research and education; guides and information systems; website design; behaviour analysis; website evaluation; usability and accessibility; technology adoption by enterprises; pricing; information requirements; knowledge management; decision support and recommender systems; website evaluation; customer support and service; technology adoption by customers; business models, and marketing.
Information and communication technologies and real-life learning : New education for the knowledge society
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.
Informatics in Control, Automation and Robotics II
Informatics in Control, Automation and Robotics II is a collection of the best papers presented at the 2nd International Conference on Informatics in Control, Automation and Robotics (ICINCO). The purpose of ICINCO was to bring together researchers, engineers and practitioners interested in the application of informatics to Control, Automation and Robotics.
Informatics in Control, Automation and Robotics I
The present book includes a set of selected papers from the first “International Conference on Informatics in Control Automation and Robotics” (ICINCO 2004), held in Setúbal, Portugal, from 25 to 28 August 2004. The conference was organized in three simultaneous tracks: “Intelligent Control Systems and Optimization”, “Robotics and Automation” and “Systems Modeling, Signal Processing and Control”. The book is based on the same structure.
Informatics in Control Automation and Robotics : Selected Papers from the International Conference on Informatics in Control Automation and Robotics 2006
The present book includes a set of selected papers from the 3rd “International Conference on Informatics in Control Automation and Robotics” (ICINCO 2006), held in Setúbal, Portugal, 1-5 August 2006.
Inflammation and cancer : Methods and protocols
Discusses the latest findings on the development and characterization of representative research models for chronic immune-based diseases and inflammation-associated cancers.And covers biochemical, molecular, and cellular biological techniques that are commonly used to dissect the molecular mechanisms and cellular processes that drive the pathogenesis of certain disease states.
Inference in Hidden Markov Models
This book is a comprehensive treatment of inference for hidden Markov models, including both algorithms and statistical theory. Topics range from filtering and smoothing of the hidden Markov chain to parameter estimation, Bayesian methods and estimation of the number of states.In a unified way the book covers both models with finite state spaces, which allow for exact algorithms for filtering, estimation etc. and models with continuous state spaces (also called state-space models) requiring approximate simulation-based algorithms that are also described in detail. Simulation in hidden Markov models is addressed in five different chapters that cover both Markov chain Monte Carlo and sequential Monte Carlo approaches. Many examples illustrate the algorithms and theory. The book also carefully treats Gaussian linear state-space models and their extensions and it contains a chapter on general Markov chain theory and probabilistic aspects of hidden Markov models.
Inference for change point and post change means after a CUSUM test
This monograph is the first to systematically study the bias of estimators and construction of corrected confidence intervals for change-point and post-change parameters after a change is detected by using a CUSUM procedure. Researchers in change-point problems and sequential analysis, time series and dynamic systems, and statistical quality control will find that the methods and techniques are mostly new and can be extended to more general dynamic models where the structural and distributional parameters are monitored. Practitioners, who are interested in applications to quality control, dynamic systems, financial markets, clinical trials and other areas, will benefit from case studies based on data sets from river flow, accident interval, stock prices, and global warming. Readers with an elementary probability and statistics background and some knowledge of CUSUM procedures will be able to understand most results as the material is relatively self-contained.The exponential family distribution is used as the basic model that includes changes in mean, variance, and hazard rate as special cases. There are fundamental differences between the sequential sampling plan and fixed sample size. Although the results are given under the CUSUM procedure, the methods and techniques discussed provide new approaches to deal with inference problems after sequential change-point detection, and they also contribute to the theoretical aspects of sequential analysis. Many results are of independent interests and can be used to study random walk related stochastic models.
Industry 4.0 for SMEs : Challenges, opportunities and requirements
This book explores the concept of Industry 4.0, which presents a considerable challenge for the production and service sectors. While digitization initiatives are usually integrated into the central corporate strategy of larger companies, smaller firms often have problems putting Industry 4.0 paradigms into practice. Small and medium-sized enterprises (SMEs) possess neither the human nor financial resources to systematically investigate the potential and risks of introducing Industry 4.0. Addressing this obstacle, the international team of authors focuses on the development of smart manufacturing concepts, logistics solutions and managerial models specifically for SMEs. Aiming to provide methodological frameworks and pilot solutions for SMEs during their digital transformation, this innovative and timely book will be of great use to scholars researching technology management, digitization and small business, as well as practitioners within manufacturing companies.
Industrial applications of semantic web ; Proceedings of the 1st International IFIP/WG12.5 Working Conference on Industrial Applications of Semantic Web, August 25-27, 2005 Jyvaskyla, Finland
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.
Individual differences in sensory and consumer science : Experimentation, analysis and interpretation
Individual differences in sensory and consumer science: Experimentation, Analysis and Interpretation presents easily readable, State-of-the-art coverage on how to plan and execute experiments that give rise to individual differences, Also providing the framework for successful analysis and interpretation of results. The book highlights the different methodologies that can be applied and how to select the correct methodology based on the type of study you are performing, Be it product research and development, Quality control or consumer acceptance studies.Written by an experienced team of statisticians and sensory and consumer scientists, The book provides both academics and industry professionals with the first complete overview of a topic of ever-increasing importance.
Independent component analysis and signal separation ; 7th International Conference, ICA 2007, London, UK, September 9-12, 2007, Proceedings
Independent Component Analysis and Signal Separation has applications at the intersection of many science and engineering disciplinesconcernedwithunderstandingandextractingusefulinformationfrom data as diverse as neuronal activity and brain images, bioinformatics, com- nications, the World Wide Web, audio, video, sensor signals, or time series.
Independent Component Analysis and Blind Signal Separation ; 6th International Conference, ICA 2006, Charleston, SC, USA, March 5-8, 2006, Proceedings
This book constitutes the refereed proceedings of the 6th International Conference on Independent Component Analysis and Blind Source Separation, ICA 2006, held in Charleston, SC, USA, in March 2006. The 120 revised papers presented were carefully reviewed and selected from 183 submissions. The papers are organized in topical sections on algorithms and architectures, applications, medical applications, speech and signal processing, theory, and visual and sensory processing.
In Vivo Models of Inflammation ; Vol. II
In Vivo Models of Inflammation (Vol. 2) provides biomedical researchers in both the pharmaceutical industry and academia with a description of the state-of-the-art animal model systems used to emulate diseases with components of inflammation.
In Vivo Models of Inflammation ; Vol. I
In Vivo Models of Inflammation (Vol. 1) provides biomedical researchers in both the pharmaceutical industry and academia with a description of the state-of-the-art animal model systems used to emulate diseases with components of inflammation.
In vivo Models of HIV Disease and Control
An AIDS vaccine is still elusive and HIV treatment continues to develop multidrug resistance at alarming rates. Because of the similarities between HIV and immune deficiency infections in a variety of animals, it is only natural that scientists use these animals as models to study pathogenesis, treatment, vaccine development and many other aspects of HIV. Part of the series Infectious Agents and Pathogenesis, this volume reviews the immune deficiency virus in a variety of hosts. Pathogenesis, vaccine and drug development, epidemiology, and the natural history of the monkey, mouse, cat, cow, horse, and other animal viruses are detailed and compared to HIV. Also included are chapters on the history and future of animal models, as well as a chapter on ethical and safety considerations in using animal models for AIDS studies.
In the Pursuit of Winning : Problem Gambling Theory, Research and Treatment
Poker websites. State lotteries. Sports betting. As gambling outlets become easier to find, more—and younger—people are risking their finances, family lives, and health. In the Pursuit of Winning brings together an international panel of 35 experts to present theoretical, clinical, sociological, historical, and spiritual perspectives on problem gambling, and test popular addiction and disease models in the field. Early chapters examine the general psychology of gambling, before moving on to the irrational ideas associated with compulsive wagering, from belief in luck to illusions of control. The seven chapters in the second half are devoted to evidence-based interventions from a variety of clinical orientations. Case examples, Q&A sections, and a glossary add extra readability to the coverage.
