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Neuro-Symbolic Artificial Intelligence: Bridging Logic and Learning (Studies in Computational Intelligence #1176)
by Ravi Tomar Amar Ramdane-Cherif Thipendra P. Singh Bikram Pratim BhuyanThis book highlights and attempts to fill a crucial gap in the existing literature by providing a comprehensive exploration of the emerging field of neuro-symbolic AI. It introduces the concept of neuro-symbolic AI, highlighting its fusion of symbolic reasoning and machine learning. The book covers symbolic AI and knowledge representation, neural networks and deep learning, neuro-symbolic integration approaches, reasoning and inference techniques, applications in healthcare and robotics, as well as challenges and future directions. By combining the power of symbolic logic and knowledge representation with the flexibility of neural networks, neuro-symbolic AI offers the potential for more interpretable and trustworthy AI systems. This book is a valuable resource for researchers, practitioners, and students interested in understanding and applying neuro-symbolic AI.
Neuronale Modellierung der Sprachverarbeitung und des Sprachlernens: Eine Einführung
by Bernd J. KrögerDieses Buch erläutert die Thematik der Produktion und Wahrnehmung gesprochener Sprache aus neurowissenschaftlicher Sicht. Nach der Darstellung der Grundlagen der Sprachverarbeitung und des Spracherwerbs wird dem Leser ein neurobiologisch basiertes und computerimplementiertes neuronales Simulationsmodell vorgestellt. Diese Einführung in die quantitative und computerimplementierbare Modellierung der Sprachverarbeitung und des Sprachlernens basiert auf einem naturwissenschaftlich orientierten Ansatz zur Beschreibung gesprochener Sprache. Dennoch wird weitgehend auf mathematische Beschreibungen verzichtet.Das Buch spricht Studierende und Wissenschaftler der Bereiche Neurowissenschaften, Informatik, Medizin, Psychologie und Linguistik an, die sich in das Gebiet der Sprachverarbeitung und des Spracherwerbs aus neurowissenschaftlicher Sicht einarbeiten möchten. Es richtet sich aber auch an Anwender, die sich mit der Entwicklung von Software zur Sprachverarbeitung befassen.
Neuropharmacology Methods in Epilepsy Research
by Timothy E. Albertson Steven L PetersonThere is an estimated 2.5 million epileptics in the US and perhaps some 40 million worldwide. As research has become increasingly molecular in scope, fewer scientists are trained in the US on basic, integrated epilepsy techniques. One frustration in neuroscience today is the application of state-of-the-art molecular biology techniques to inappropriate animal models of epilepsy - frequently resulting in inconclusive results. Epilepsy research will be increasingly undertaken by scientists well-trained in reductionist methodology, but who may be unfamiliar with integrated, whole-animal techniques. This situation appears even more difficult considering there has been no updated textbook on experimental models of epilepsy over the last twenty years - until now. Neuropharmacology Methods in Epilepsy Research describes fundamental methodologies and procedures in this field, representing the only detailed text concerning experimental models of epilepsy published in the last 20 years. This guide studies the reproduction of well-characterized and readily interpretable experimental models of epilepsy to which state-of-the-art molecular biology techniques can be applied. Each chapter features: Introduction - providing a brief background and historical account of the techniques and their use Methodology - describing equipment, solutions, species, electrodes as well as considering variations of techniques and stimulation parameters Interpretations - demonstrating the relevance of techniques to epilepsy as well as describing what exactly is being studied and how the data is appropriately applied to understanding epilepsy Topics include electroshock, chemoconvulsions, kindling, audiogenic seizures, focal seizures, and brain slice preparations. Discussions also include: Recently developed seizure models, including status epilepticus and massed trial simulations Influence of circadian and diurnal rhythms on convulsive activity Behavior al and cognitive deficits associated with anticonvulsant drug testing Technical approaches, i.e. slice models, microdialysis techniques, intracranial implant surgery, audiogenic seizure testing, kindling paradigms, and the rhythmic nature of seizures This unique text provides a thorough reference for the diverse methodologies within this area of neuropharmacological research - providing the basis for on-going cellular and molecular investigations as well as novel therapeutic approaches to the treatment of epilepsy.
Neutral and Indifference Portfolio Pricing, Hedging and Investing
by Srdjan StojanovicThis book is written for quantitative finance professionals, students, educators, and mathematically inclined individual investors. It is about some of the latest developments in pricing, hedging, and investing in incomplete markets. With regard to pricing, two frameworks are fully elaborated: neutral and indifference pricing. With regard to hedging, the most conservative and relaxed hedging formulas are derived. With regard to investing, the neutral pricing methodology is also considered as a tool for connecting market asset prices with optimal positions in such assets. Srdjan D. Stojanovic is Professor in the Department of Mathematical Sciences at University of Cincinnati (USA) and Professor in the Center for Financial Engineering at Suzhou University (China).
Neutrices and External Numbers: A Flexible Number System (Chapman & Hall/CRC Monographs and Research Notes in Mathematics)
by Bruno Dinis Imme van den BergNeutrices and External Numbers: A Flexible Number System introduces a new model of orders of magnitude and of error analysis, with particular emphasis on behaviour under algebraic operations. The model is formulated in terms of scalar neutrices and external numbers, in the form of an extension of the nonstandard set of real numbers. Many illustrative examples are given. The book starts with detailed presentation of the algebraic structure of external numbers, then deals with the generalized Dedekind completeness property, applications in analysis, domains of validity of approximations of solutions of differential equations, particularly singular perturbations. Finally, it describes the family of algebraic laws characterizing the practice of calculations with external numbers. Features Presents scalar neutrices and external numbers, a mathematical model of order of magnitude within the real number system. Outlines complete algebraic rules for the neutrices and external numbers Conducts operational analysis of convergence and integration of functions known up to orders of magnitude Formalises a calculus of error propagation, covariant with algebraic operations Presents mathematical models of phenomena incorporating their necessary imprecisions, in particular related to the Sorites paradox
Neutron Diffusion: Concepts and Uncertainty Analysis for Engineers and Scientists
by S. Chakraverty Sukanta NayakThis book is designed for a systematic understanding of nuclear diffusion theory along with fuzzy/interval/stochastic uncertainty. This will serve to be a benchmark book for graduate & postgraduate students, teachers, engineers and researchers throughout the globe. <P><P> In view of the recent developments in nuclear engineering, it is important to study the basic concepts of this field along with the diffusion processes for nuclear reactor design. Also, it is known that uncertainty is a must in every field of engineering and science and, in particular, with regards to nuclear-related problems. As such, one may need to understand the nuclear diffusion principles/theories corresponding with reliable and efficient techniques for the solution of such uncertain problems. Accordingly this book aims to provide a new direction for readers with basic concepts of reactor physics as well as neutron diffusion theory. On the other hand, it also includes uncertainty (in terms of fuzzy, interval, stochastic) and their applications in nuclear diffusion problems in a systematic manner, along with recent developments. The underlying concepts of the presented methods in this book may very well be used/extended to various other engineering disciplines viz. electronics, marine, chemical, mining engineering and other sciences such as physics, chemistry, biotechnology etc. This book then can be widely applied wherever one wants to model their physical problems in terms of non-probabilistic methods viz. fuzzy/stochastic for the true essence of the real problems.
Neutron Transport: Theory, Modeling, and Computations (Graduate Texts in Physics)
by Ramadan M. KuridanThis textbook provides a thorough explanation of the physical concepts and presents the general theory of different forms through approximations of the neutron transport processes in nuclear reactors and emphasize the numerical computing methods that lead to the prediction of neutron behavior. Detailed derivations and thorough discussions are the prominent features of this book unlike the brevity and conciseness which are the characteristic of most available textbooks on the subject where students find them difficult to follow. This conclusion has been reached from the experience gained through decades of teaching. The topics covered in this book are suitable for senior undergraduate and graduate students in the fields of nuclear engineering and physics. Other engineering and science students may find the construction and methodology of tackling problems as presented in this book appealing from which they can benefit in solving other problems numerically. The book provides access to a one dimensional, two energy group neutron diffusion program including a user manual, examples, and test problems for student practice. An option of a Matlab user interface is also available.
Neutrosophic Paradigms: Neutrosophic Principles for Handling Uncertainty (Studies in Fuzziness and Soft Computing #435)
by Florentin Smarandache Zahid KhanThis book offers a comprehensive reference guide to neutrosophic theory and its applications in decision-making in numerous disciplines, ranging from business, economics and management, computer science, health and environmental sciences, and many others. Chapters were selected to cover: different extensions of neutrosophic sets, statistical techniques for dealing with imprecise data and decision-making, and a range of real-life examples. All in all, the book is intended to provide a timely update on the state-of-the-art in neutrosophic decision-making for researchers and professionals from various disciplines, as well as master’s and graduate students in mathematics, statistics, and computer science.
Nevanlinna Theory in Several Complex Variables and Diophantine Approximation
by Junjiro Noguchi Jörg WinkelmannThe aim of this book is to provide a comprehensive account of higher dimensional Nevanlinna theory and its relations with Diophantine approximation theory for graduate students and interested researchers. This book with nine chapters systematically describes Nevanlinna theory of meromorphic maps between algebraic varieties or complex spaces, building up from the classical theory of meromorphic functions on the complex plane with full proofs in Chap. 1 to the current state of research. Chapter 2 presents the First Main Theorem for coherent ideal sheaves in a very general form. With the preparation of plurisubharmonic functions, how the theory to be generalized in a higher dimension is described. In Chap. 3 the Second Main Theorem for differentiably non-degenerate meromorphic maps by Griffiths and others is proved as a prototype of higher dimensional Nevanlinna theory. Establishing such a Second Main Theorem for entire curves in general complex algebraic varieties is a wide-open problem. In Chap. 4, the Cartan-Nochka Second Main Theorem in the linear projective case and the Logarithmic Bloch-Ochiai Theorem in the case of general algebraic varieties are proved. Then the theory of entire curves in semi-abelian varieties, including the Second Main Theorem of Noguchi-Winkelmann-Yamanoi, is dealt with in full details in Chap. 6. For that purpose Chap. 5 is devoted to the notion of semi-abelian varieties. The result leads to a number of applications. With these results, the Kobayashi hyperbolicity problems are discussed in Chap. 7. In the last two chapters Diophantine approximation theory is dealt with from the viewpoint of higher dimensional Nevanlinna theory, and the Lang-Vojta conjecture is confirmed in some cases. In Chap. 8 the theory over function fields is discussed. Finally, in Chap. 9, the theorems of Roth, Schmidt, Faltings, and Vojta over number fields are presented and formulated in view of Nevanlinna theory with results motivated by those in Chaps. 4, 6, and 7.
Nevanlinna Theory, Normal Families, and Algebraic Differential Equations
by Norbert SteinmetzThis book offers a modern introduction to Nevanlinna theory and its intricate relation to the theory of normal families, algebraic functions, asymptotic series, and algebraic differential equations. Following a comprehensive treatment of Nevanlinna's theory of value distribution, the author presents advances made since Hayman's work on the value distribution of differential polynomials and illustrates how value- and pair-sharing problems are linked to algebraic curves and Briot-Bouquet differential equations. In addition to discussing classical applications of Nevanlinna theory, the book outlines state-of-the-art research, such as the effect of the Yosida and Zalcman-Pang method of re-scaling to algebraic differential equations, and presents the Painlev#65533;-Yosida theorem, which relates Painlev#65533; transcendents and solutions to selected 2D Hamiltonian systems to certain Yosida classes of meromorphic functions. Aimed at graduate students interested in recent developments in the field and researchers working on related problems, Nevanlinna Theory, Normal Families, and Algebraic Differential Equations will also be of interest to complex analysts looking for an introduction to various topics in the subject area. With examples, exercises and proofs seamlessly intertwined with the body of the text, this book is particularly suitable for the more advanced reader.
Never Split Tens!: A Biographical Novel of Blackjack Game Theorist Edward O. Thorp PLUS Tips and Techniques to Help You Win
by Les GoldenRenowned probability theorist Edward O. Thorp revolutionized the casino industry by developing card counting systems for the casino game of blackjack. Les Golden, the celebrated blackjack, roulette, and craps columnist for Bluff Europe, Gambling.com, iGaming Business, GamblingOnline, and Jackpots Review magazines, tells Thorp’s incredible true story of lucrative applied probability with charm, wit, and humor. Whether you visit casinos for fun, dinner money, or a living, or whether you’re simply interested in a story of romance and casino intrigue, this lively biographical novel will capture and delight you.Illustrations by the author.“I found the story tremendously entertaining, with a pantheon of compelling characters such as gambler Ed Thorp and bookie Manny Kimmel taking us from the casinos of Nevada to those of San Juan, Puerto Rico. Les Golden’s novel is a triumph begging for adaptation to the screen.”— LANA WOOD, Film and T.V. Producer, Actress (“Diamonds Are Forever”) Best-selling Author, Natalie, a Memoir“Les Golden has an ever-increasing influence and burgeoning popularity.A significant name in the industry, the ‘go to’ man for strategy and anecdotal literarydexterity. I cannot acclaim his star highly enough.”— JAMES MCKEOWN, Editor, iGaming Business Magazine and Gambling.com Magazine“Les Golden is a comedy genius. It really is as simple as that. An expert in the field,he makes getting educated not only painless but actually funny.”— DAVE BLAND, Editor, Flush Magazine, British television pundit“I learn more about strategy through Les’ writings than I do through many failed tripsto Vegas. Always concise, easy-to-read, and intelligent.”— JON YOUNG, Editor WPT (World Poker Tour) Magazine“Les Golden makes numbers hilarious. He's simply the funniest gaming strategy writer there is. His writing is ‘rakish’ and ‘bond-esque.’ ”— PHILIP CONNELLER, Editor, Bluff Europe Magazine“The dialog crackles and the fictional elements brilliantly illuminate how cool Ed Thorp is. And there’s just the right amount of blackjack and math. I love it.”— AARON BROWN, Professional gambler, Wall Street risk managerAuthor, The Poker Face of Wall Street
Never Waste a Good Crisis: Lessons Learned from Data Fraud and Questionable Research Practices (ASA-CRC Series on Statistical Reasoning in Science and Society)
by Klaas SijtsmaThis book covers statistical consequences of breaches of research integrity such as fabrication and falsification of data, and researcher glitches summarized as questionable research practices. It is unique in that it discusses how unwarranted data manipulation harms research results and that questionable research practices are often caused by researchers’ inadequate mastery of the statistical methods and procedures they use for their data analysis. The author’s solution to prevent problems concerning the trustworthiness of research results, no matter how they originated, is to publish data in publicly available repositories and encourage researchers not trained as statisticians not to overestimate their statistical skills and resort to professional support from statisticians or methodologists.The author discusses some of his experiences concerning mutual trust, fear of repercussions, and the bystander effect as conditions limiting revelation of colleagues’ possible integrity breaches. He explains why people are unable to mimic real data and why data fabrication using statistical models stills falls short of credibility. Confirmatory and exploratory research and the usefulness of preregistration, and the counter-intuitivenature of statistics, are discussed.The author questions the usefulness of statistical advice concerning frequentist hypothesis testing, Bayes-factor use, alternative statistics education, and reduction of situational disturbances like performance pressure, as stand-alone means to reduce questionable research practices when researchers lack experience with statistics.An interview with the author can be found here: https://www.tilburguniversity.edu/magazine/overview/former-rector-sijtsma-turn-statistician-fight-fraud-and-sloppiness.
Neverending Fractions
by Wadim Zudilin Jonathan Borwein Alf Van Der Poorten Jeffrey ShallitDespite their classical nature, continued fractions are a neverending research area, with a body of results accessible enough to suit a wide audience, from researchers to students and even amateur enthusiasts. Neverending Fractions brings these results together, offering fresh perspectives on a mature subject. Beginning with a standard introduction to continued fractions, the book covers a diverse range of topics, from elementary and metric properties, to quadratic irrationals, to more exotic topics such as folded continued fractions and Somos sequences. Along the way, the authors reveal some amazing applications of the theory to seemingly unrelated problems in number theory. Previously scattered throughout the literature, these applications are brought together in this volume for the first time. A wide variety of exercises guide readers through the material, which will be especially helpful to readers using the book for self-study, and the authors also provide many pointers to the literature.
New Advances in Designs, Codes and Cryptography: Stinson66, Toronto, Canada, June 13-17, 2022 (Fields Institute Communications #86)
by Charles J. Colbourn Jeffrey H. DinitzThis volume records and disseminates selected papers from the Stinson66 conference, including surveys, prospectives, and papers presenting original and current research. It contains four accessible surveys of topics in combinatorial designs and related topics, ranging from a tutorial survey of connections to classical group theory, to surveys of "hot topics" in current research. It also contains a prospective paper identifying topics for future research efforts, co-authored by one of the elder statesmen of the field, Alex Rosa. Finally, the research papers examine topics ranging from pure mathematics to applied work in computing, networking, communications, and cryptography. For students and newcomers to these topics, the volume provides accessible survey material that does not have onerous prerequisites. The breadth of topics reflects the vibrancy of the field in a way that can be appreciated by all researchers. The papers present important advances on theory and applications,which also benefit advanced researchers.
New Advances in Maxwell’s Equations and Applications (NanoScience and Technology)
by Zhong Lin Wang Er-Ping LiThis book offers a comprehensive examination of ongoing advancements in theoretical and experimental approaches to Maxwell's equations. It focuses on three key aspects: quantum effects, scale effects, and kinetic effects, which exert subtle influences at microscopic levels. Addressing pressing challenges for future progress, the text explores the interplay of these phenomena within classical electromagnetism. The evolution of data communication and information technology has led to a demand for high-density, minimization, ultra-compact nano-photo-electronic integration. As electronic devices scale down to nanometer and sub-nanometer levels, classical Maxwell’s equations reveal quantum effects. This book provides insights into these advancements, focusing on potential applications in nano-scale electronic and optic devices. Tailored for physicists, engineering scientists, electronics engineers, and developers, this text serves as a valuable resource. It guides readers from classical Maxwell’s equations to their quantum-affected counterparts, providing essential insights for electromagnetic simulation and the design of nano-scale electronic and optic systems. With its blend of theoretical foundations and practical applications, this book equips professionals with the knowledge needed to apply these advancements in real-world scenarios.
New Advances in Statistical Modeling and Applications
by Rui Santos António Pacheco Maria do Rosário Oliveira Carlos Daniel PaulinoThis volume of the Selected Papers is a product of the XIX Congress of the Portuguese Statistical Society, held at the Portuguese town of Nazar#65533;, from September 28 to October 1, 2011. All contributions were selected after a thorough peer-review process. It covers a broad scope of papers in the areas of Statistical Science, Probability and Stochastic Processes, Extremes and Statistical Applications.
New Approaches in Modeling Multiphase Flows and Dispersion in Turbulence, Fractal Methods and Synthetic Turbulence
by J. M. Redondo A. F. Nowakowski C. Cambon F.C.G.A. Nicolleau J. C. Vassilicos M. ReeksThis book contains a collection of the main contributions from the first five workshops held by Ercoftac Special Interest Group on Synthetic Turbulence Models (SIG42. It is intended as an illustration of the sig's activities and of the latest developments in the field. This volume investigates the use of Kinematic Simulation (KS) and other synthetic turbulence models for the particular application to environmental flows. This volume offers the best syntheses on the research status in KS, which is widely used in various domains, including Lagrangian aspects in turbulence mixing/stirring, particle dispersion/clustering, and last but not least, aeroacoustics. Flow realizations with complete spatial, and sometime spatio-temporal, dependency, are generated via superposition of random modes (mostly spatial, and sometime spatial and temporal, Fourier modes), with prescribed constraints such as: strict incompressibility (divergence-free velocity field at each point), high Reynolds energy spectrum. Recent improvements consisted in incorporating linear dynamics, for instance in rotating and/or stably-stratified flows, with possible easy generalization to MHD flows, and perhaps to plasmas. KS for channel flows have also been validated. However, the absence of "sweeping effects" in present conventional KS versions is identified as a major drawback in very different applications: inertial particle clustering as well as in aeroacoustics. Nevertheless, this issue was addressed in some reference papers, and merits to be revisited in the light of new studies in progress.
New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks
by Patricia Melin Fernando Gaxiola Fevrier ValdezIn this book a neural network learning method with type-2 fuzzy weight adjustment is proposed. The mathematical analysis of the proposed learning method architecture and the adaptation of type-2 fuzzy weights are presented. The proposed method is based on research of recent methods that handle weight adaptation and especially fuzzy weights. The internal operation of the neuron is changed to work with two internal calculations for the activation function to obtain two results as outputs of the proposed method. Simulation results and a comparative study among monolithic neural networks, neural network with type-1 fuzzy weights and neural network with type-2 fuzzy weights are presented to illustrate the advantages of the proposed method. The proposed approach is based on recent methods that handle adaptation of weights using fuzzy logic of type-1 and type-2. The proposed approach is applied to a cases of prediction for the Mackey-Glass (for ô=17) and Dow-Jones time series, and recognition of person with iris biometric measure. In some experiments, noise was applied in different levels to the test data of the Mackey-Glass time series for showing that the type-2 fuzzy backpropagation approach obtains better behavior and tolerance to noise than the other methods. The optimization algorithms that were used are the genetic algorithm and the particle swarm optimization algorithm and the purpose of applying these methods was to find the optimal type-2 fuzzy inference systems for the neural network with type-2 fuzzy weights that permit to obtain the lowest prediction error.
New Cambridge Statistical Tables
by D. V. Lindley W. F. ScottThe latest edition of this very successful and authoritative set of tables, first published in 1984, still benefits from clear typesetting, which makes the figures easy to read and use, but has been improved by the addition of new tables. These give Bayesian confidence limits for the binomial and Poisson distributions, and for the square of the multiple correlation coefficient, which have not been previously available. The intervals are the shortest possible, consistent with the requirement on probability. The authors have taken great care to ensure the clarity of the tables and how their values may be used; the tables are easily interpolated. The book contains all the tables likely to be required for elementary statistical methods in the social, business and natural sciences, and will be an essential aid for teachers, users and students in these areas.
New Challenges for Cancer Systems Biomedicine
by Alberto D'Onofrio Alberto Gandolfi Paola CerraiThe future of oncology seems to lie in Molecular Medicine (MM). MM is a new science based on three pillars. Two of them are evident in its very name and are well known: medical science and molecular biology. However, there is a general unawareness that MM is firmly based on a third, and equally important, pillar: Systems Biomedicine. Currently, this term denotes multilevel, hierarchical models integrating key factors at the molecular, cellular, tissue, through phenotype levels, analyzed to reveal the global behavior of the biological process under consideration. It becomes increasingly evident that the tools to construct such complex models include, not only bioinformatics and modern applied statistics, as is unanimously agreed, but also other interdisciplinary fields of science, notably, Mathematical Oncology, Systems Biology and Theoretical Biophysics.
New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic (SpringerBriefs in Applied Sciences and Technology)
by Oscar Castillo Patricia Melin Jonathan AmezcuaIn this book a new model for data classification was developed. This new model is based on the competitive neural network Learning Vector Quantization (LVQ) and type-2 fuzzy logic. This computational model consists of the hybridization of the aforementioned techniques, using a fuzzy logic system within the competitive layer of the LVQ network to determine the shortest distance between a centroid and an input vector. This new model is based on a modular LVQ architecture to further improve its performance on complex classification problems. It also implements a data-similarity process for preprocessing the datasets, in order to build dynamic architectures, having the classes with the highest degree of similarity in different modules. Some architectures were developed in order to work mainly with two datasets, an arrhythmia dataset (using ECG signals) for classifying 15 different types of arrhythmias, and a satellite images segments dataset used for classifying six different types of soil. Both datasets show interesting features that makes them interesting for testing new classification methods.
New Concepts and Trends of Hybrid Multiple Criteria Decision Making
by Gwo-Hshiung Tzeng Kao-Yi ShenWhen people or computers need to make a decision, typically multiple conflicting criteria need to be evaluated; for example, when we buy a car, we need to consider safety, cost and comfort. Multiple criteria decision making (MCDM) has been researched for decades. Now as the rising trend of big-data analytics in supporting decision making, MCDM can be more powerful when combined with state-of-the-art analytics and machine learning. In this book, the authors introduce a new framework of MCDM, which can lead to more accurate decision making. Several real-world cases will be included to illustrate the new hybrid approaches.
New Contribution to the Analysis and Evaluation of Safety Architectures: Scientific Investigation of a Safety Architecture
by Ossmane KriniThe objective of this scientific work is to research, test and develop an approach and design a safety architecture for highly safe, available and autonomous systems with regard to functional safety using degradation concepts. A novel, safety-oriented 4oo6 sensor structure targeting functional safety aspects has been thoroughly scientifically investigated, developed and validated. This Sensor Safety 4oo6 structure represents a major challenge as it integrates innovative approaches to improve system safety. The new safety strategy for autonomous systems enables operation in different modes and offers flexibility and adaptability. The 4oo6 safety architecture analyzed and developed in the scientific study has a self-monitoring structure that enables early detection of faults. This ensures that both the safety and availability of the system are maintained in the long term. The new Safety 4oo6 structure represents a new challenge, as such an architecture does not yet exist in the IEC 61508 safety standard or in DIN EN 61511. With this new architecture, a significantly higher level of safety and availability can be achieved.
New Developments and Advances in Robot Control (Studies in Systems, Decision and Control #175)
by Quanmin Zhu Nabil Derbel Jawhar GhommamThis book highlights relevant studies and applications in the area of robotics, which reflect the latest research, from interdisciplinary theoretical studies and computational algorithm development, to representative applications. It presents chapters on advanced control, such as fuzzy, neural, backstepping, sliding mode, adaptive, predictive, diagnosis and fault tolerant control etc. and addresses topics including cloud robotics, cable-driven robots, two-wheeled robots, mobile robots, swarm robots, hybrid vehicle, and drones. Each chapter employs a uniform structure: background, motivation, quantitative development (equations), case studies/illustration/tutorial (simulations, experiences, curves, tables, etc.), allowing readers to easily tailor the techniques to their own applications.
New Developments in Categorical Data Analysis for the Social and Behavioral Sciences (Quantitative Methodology Series)
by L. Andries van der Ark, Marcel A. Croon and Klaas SijtsmaCategorical data are quantified as either nominal variables--distinguishing different groups, for example, based on socio-economic status, education, and political persuasion--or ordinal variables--distinguishing levels of interest, such as the preferred politician or the preferred type of punishment for committing burglary. This new book is a collection of up-to-date studies on modern categorical data analysis methods, emphasizing their application to relevant and interesting data sets.This volume concentrates on latent class analysis and item response theory. These methods use latent variables to explain the relationships among observed categorical variables. Latent class analysis yields the classification of a group of respondents according to their pattern of scores on the categorical variables. This provides insight into the mechanisms producing the data and allows the estimation of factor structures and regression models conditional on the latent class structure. Item response theory leads to the identification of one or more ordinal or interval scales. In psychological and educational testing these scales are used for individual measurement of abilities and personality traits.The focus of this volume is applied. After a method is explained, the potential of the method for analyzing categorical data is illustrated by means of a real data example to show how it can be used effectively for solving a real data problem. These methods are accessible to researchers not trained explicitly in applied statistics. This volume appeals to researchers and advanced students in the social and behavioral sciences, including social, developmental, organizational, clinical and health psychologists, sociologists, educational and marketing researchers, and political scientists. In addition, it is of interest to those who collect data on categorical variables and are faced with the problem of how to analyze such variables--among themselves or in relation to metric variables.