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Service Availability ; Vol. 4328 ; 3rd International Service Availability Symposium, ISAS 2006, Helsinki, Finland, May 15-16, 2006, Revised Selected Papers
This book constitutes the thoroughly refereed post-proceedings of the Third International Service Availability Symposium, ISAS 2006, held in Helsinki, Finland, in May 2006. The 19 revised full papers presented were carefully reviewed and selected from 38 submissions. The papers are organized in topical sections on availability modeling, estimation and analysis, dependability techniques and their applications, performability: measurements and assessments, service availability standards: experience reports and futures.
Service Availability ; 5th International Service Availability Symposium, ISAS 2008 Tokyo, Japan, May 19-21, 2008 Proceedings
The book is organized in topical sections on enterprise system dependability, software service availability, service availability platform, and service dependability analysis.
Series Approximation Methods in Statistics
This book was originally compiled for a course I taught at the University of Rochester in the fall of 1991, and is intended to give advanced graduate students in statistics an introduction to Edgeworth and saddlepoint approximations, and related techniques.
Sequence Data Mining
Sequence Data Mining provides balanced coverage of the existing results on sequence data mining, as well as pattern types and associated pattern mining methods. While there are several books on data mining and sequence data analysis, currently there are no books that balance both of these topics. This professional volume fills in the gap, allowing readers to access state-of-the-art results in one place.
Sequence Analysis and Related Approaches : Innovative Methods and Applications
Provides innovative methods and original applications of sequence analysis (SA) and related methods for analysing longitudinal data describing life trajectories such as professional careers, family paths, the succession of health statuses, or the time use. The applications as well as the methodological contributions proposed in this book pay special attention to the combined use of SA and other methods for longitudinal data such as event history analysis, Markov modelling, and sequence network. this book provides a wealth of information for social scientists interested in quantitative life course analysis, and all those working in sociology, demography, economics, health, psychology, social policy, and statistics.
Sequence Analysis and Modern C++ : The Creation of the SeqAn3 Bioinformatics Library
Every developer who previously worked with C++ will enjoy the in-depth chapter on important changes in the language from C++11 up to and including C++20. In contrast to many resources on Modern C++ that present new features only in small isolated examples, this book represents a more holistic approach: readers will understand the relevance of new features and how they interact in the context of a large software project and not just within a "toy example". Previous experience in creating software with C++ is highly recommended to fully appreciate these aspects. SeqAn3 is a new, re-designed software library. The conception and implementation process is detailed in this book, including a critical reflection on the previous versions of the library. This is particularly helpful to readers who are about to create a large software project themselves, or who are planning a major overhaul of an existing library or framework. While the focus of the book is clearly on software development and design, it also touches on various organisational and administrative aspects like licensing, dependency management and quality control.
Sensors data processing using machine learning
Collects research focusing on data processing using machine learning and deep learning. We invited investigators to contribute both original and review articles, covering the research and development in the areas of data processing using machine learning (ML) and deep learning (DL). These areas include solutions that are designed for smart devices. In this reprint, leading experts in the field share their insights, research findings, and visions for the future. Together, we embark on a journey to unlock the potential of effective data processing that involves transforming data from a given format into a more usable and desirable form, rendering them more meaningful and informative. Machine learning (ML), deep learning (DL), and artificial intelligence (AI) have proven to be effective methods for this purpose. Through the utilization of machine learning algorithms, mathematical modeling, or various statistical techniques, the entire process can be automated.
Sensor systems for gesture recognition
Gesture recognition (GR) aims to interpret human gestures, having an impact on a number of different application fields. This Special Issue is devoted to describing and examining up-to-date technologies to measure gestures, algorithms to interpret data, and applications related to GR. These technologies involve camera-based systems (e.g., ground truth system, GTS; Azura Kinect), wearable sensors (e.g., inertial measurement units, IMUs; micro electro-mechanical systems, MEMS; angular displacement sensors, ADS; resistive flex sensors, RFSs), electromagnetic field measurements (e.g., leap motion sensor), acoustic-based inputs (e.g., microphone, stethoscope), radar systems (e.g., continuous wave), and tactile sensors (e.g., pressure sensitive transistors). Data interpretations are detailed by means of classifiers (e.g., neural networks, NN; convolutional neural network, CNN; hidden Markov models, HMM; and k-nearest neighbors, kNN).
Sensitivity Analysis : Matrix Methods in Demography and Ecology
This book shows how to use sensitivity analysis in demography. It presents new methods for individuals, cohorts, and populations, with applications to humans, other animals, and plants. The analyses are based on matrix formulations of age-classified, stage-classified, and multistate population models. Methods are presented for linear and nonlinear, deterministic and stochastic, and time-invariant and time-varying cases. Readers will discover results on the sensitivity of statistics of longevity, life disparity, occupancy times, the net reproductive rate, and statistics of Markov chain models in demography. They will also see applications of sensitivity analysis to population growth rates, stable population structures, reproductive value, equilibria under immigration and nonlinearity, and population cycles. Individual stochasticity is a theme throughout, with a focus that goes beyond expected values to include variances in demographic outcomes.
Seminar on Stochastic Analysis, Random Fields and Applications V ; Centro Stefano Franscini, Ascona, May 2005
This volume contains twenty-eight refereed research or review papers presented at the 5th Seminar on Stochastic Processes, Random Fields and Applications, which took place at the Centro Stefano Franscini (Monte Verità) in Ascona, Switzerland, from May 30 to June 3, 2005. The seminar focused mainly on stochastic partial differential equations, random dynamical systems, infinite-dimensional analysis, approximation problems, and financial engineering.
Séminaire de Probabilités XXXVIII = Probability Seminar XXXVIII
Besides a series of six articles on Lévy processes, Volume 38 of the Séminaire de Probabilités contains contributions whose topics range from analysis of semi-groups to free probability, via martingale theory, Wiener space and Brownian motion, Gaussian processes and matrices, diffusions and their applications to PDEs.
Semi-Markov Chains and Hidden Semi-Markov Models toward Applications : Their use in Reliability and DNA Analysis
This book is concerned with the estimation of discrete-time semi-Markov and hidden semi-Markov processes. Semi-Markov processes are much more general and better adapted to applications than the Markov ones because sojourn times in any state can be arbitrarily distributed, as opposed to the geometrically distributed sojourn time in the Markov case. Another unique feature of the book is the use of discrete time, especially useful in some specific applications where the time scale is intrinsically discrete. The models presented in the book are specifically adapted to reliability studies and DNA analysis.
Semiconductor Radiation Detectors : Device Physics
Starting from basic principles, the autor, whose own contributions to these developments have been significant, describes the rapidly growing field of modern semiconductor detectors used for energy and position measurement radiation. This development was stimulated by requirements in elementary particle physics where it has led to important scientific discoveries. It has now spread to many other fields of science and technology. The book is written in a didactic way and includes an introduction to semiconductor physics. The working principles of semiconductor radiation detectors are explained in an intuitive way, followed by formal quantitative analysis. Broad coverage is also given to electronic signal readout and to the subject of radiation damage. The book is the first to comprehensively cover the semiconductor radiation detectors currently in use
Semiconductor Lasers : Stability, Instability and Chaos
This monograph describes fascinating recent progress in the field of chaos, stability and instability of semiconductor lasers. Applications and future prospects are discussed in detail. The book emphasizes the various dynamics induced in semiconductor lasers by optical and electronic feedback, optical injection, and injection current modulation. Recent results of both theoretical and experimental investigations are presented. Demonstrating applications of semiconductor laser chaos, control and noise, Semiconductor Lasers describes suppression and chaotic secure communications. For those who are interested in optics but not familiar with nonlinear systems, a brief introduction to chaos analysis is presented.
Semiconcave Functions, Hamilton-Jacobi Equations, and Optimal Control
Semiconcavity is a natural generalization of concavity that retains most of the good properties known in convex analysis, but arises in a wider range of applications. This text is the first comprehensive exposition of the theory of semiconcave functions, and of the role they play in optimal control and Hamilton–Jacobi equations.
Semantics, Web and Mining ; Joint International Workshop, EWMF 2005 and KDO 2005, Porto, Portugal, October 3-7, 2005, Revised Selected Papers
Finding knowledge – or meaning – in data is the goal of every knowledge d- covery e?ort. Subsequent goals and questions regarding this knowledge differ among knowledge discovery (KD) projects and approaches. One central question is whether and to what extent the meaning extracted from the data is expressed in a formal way that allows not only humans but also machines to understand and re-use it, i. e. , whether the semantics are formal semantics. Conversely, the input to KD processes di?ers between KD projects and approaches. One central question is whether the background knowledge, business understanding, etc. that the analyst employs to improve the results of KD is a set of natural-language statements, a theory in a formal language, or somewhere in between.
Semantics in Acquisition
This book is unique in that it relates two linguistic subfields: Semantics and Language Acquisition. The volume contains a collection of writings that focuses on semantic phenomena and their interpretation in the analysis of the language of a learner. The variety of phenomena that are addressed is substantial: temporal aspect and tense, specificity, quantification, scope, finiteness, focus structure, and focus particles. The number of languages in which these phenomena are investigated is very large as well: Dutch, English, German, Inuktitut, Italian, Japanese, and Polish, to name a few. The volume creates a theoretical as well as an empirical bridge between semantic research on the one hand and psycholinguistic acquisition studies on the other.
Semantic Web for Effective Healthcare Systems
Summarizes the trends and current research advances in web semantics, delineating the existing tools, techniques, methodologies, and research solutions. Analyzes the current status on how the semantic web is used to solve health data integration and interoperability problems, and how it provides advanced data linking capabilities that can improve search and retrieval of medical data. Chapters analyze the tools and approaches to semantic health data analysis and knowledge discovery. The book discusses the role of semantic technologies in extracting and transforming healthcare data before storing it in repositories. It also discusses different approaches for integrating heterogeneous healthcare data. This book offers: The first of its kind and highlights only the ontology driven information retrieval mechanisms and techniques being applied to healthcare as well as clinical information systems ; Presents a comprehensive examination of the emerging research in areas of the semantic web ; Discusses studies on new research areas including ontological engineering, semantic annotation and semantic sentiment analysis ; Helps readers understand key concepts in semantic web applications for the biomedical engineering and healthcare fields ; Includes coverage of key application areas of the semantic web.
Semantic Multimedia and Ontologies : Theory and Applications
Taking a step-by-step approach, and drawing on the expertise of key researchers in the multimedia and knowledge domains, this book guides the reader through the fundamental enabling technologies of ontologies (for example MPEG-7 and OWL), analysis, context and reasoning, to commercially interesting applications including personalised content summarisation, 3D modelling and management of scientific data. All relevant topics are covered; including ontologies for low level multimedia feature representation, higher level multimedia systems representations, application of multimedia ontologies for visual analysis, and usage of multimedia and knowledge technologies for applications. The authors aggregate relevant disciplines including knowledge representation, multidimensional signal processing, logic, artificial intelligence and machine learning to provide a coherent picture of the different strands of research that need to be combined in order to achieve semantic multimedia applications.
Semantic Multimedia ; 3rd International Conference on Semantic and Digital Media Technologies, SAMT 2008, Koblenz, Germany, December 3-5, 2008. Proceedings
The book cover topics such as semantic analysis and multimedia, semantic retrieval and multimedia, semantic metadata management of multimedia, semantic user interfaces for multimedia, semantics in visualization and computer graphics, as well as applications of semantic multimedia.
