This book is a collection of contributions honouring Arnon Avron's seminal work on the semantics and proof theory of non-classical logics. It includes presentations of advanced work by some of the most esteemed scholars working on semantic and proof-theoretical aspects of computer science logic. Topics in this book include frameworks for paraconsistent reasoning, foundations of relevance logics, analysis and characterizations of modal logics and fuzzy logics, hypersequent calculi and their properties, non-deterministic semantics, algebraic structures for many-valued logics, and representations of the mechanization of mathematics. Avron's foundational and pioneering contributions have been widely acknowledged and adopted by the scientific community. His research interests are very broad, spanning over proof theory, automated reasoning, non-classical logics, foundations of mathematics, and applications of logic in computer science and artificial intelligence. This is clearly reflected by the diversity of topics discussed in the chapters included in this book, all of which directly relate to Avron's past and present works. This book is of interest to computer scientists and scholars of formal logic.

This textbook treats graph colouring as an algorithmic problem, with a strong emphasis on practical applications. The author describes and analyses some of the best-known algorithms for colouring graphs, focusing on whether these heuristics can provide optimal solutions in some cases; how they perform on graphs where the chromatic number is unknown; and whether they can produce better solutions than other algorithms for certain types of graphs, and why. The introductory chapters explain graph colouring, complexity theory, bounds and constructive algorithms. The author then shows how advanced, graph colouring techniques can be applied to classic real-world operational research problems such as designing seating plans, sports scheduling, and university timetabling. He includes many examples, suggestions for further reading, and historical notes, and the book is supplemented by an online suite of downloadable code. The book is of value to researchers, graduate students, and practitioners in the areas of operations research, theoretical computer science, optimization, and computational intelligence. The reader should have elementary knowledge of sets, matrices, and enumerative combinatorics.

As featured on CNN, Forbes and Inc - BookAuthority identifies and rates the best books in the world, based on recommendations by the world's most successful business leaders and experts. Winning the spot of #19 out of 26 on the 2020 Bookauthority Best New Industrial Management Books of All Time. Winning the spot of #3 out of 8 on the 2021 Bookauthority Best New Industrial Management Books to Read in 2021. Winning the spot of #5 out of 11 on the 2021 Bookauthority Best New Product Design Books to Read in 2021. 2020 Taylor & Francis Award Winner for Outstanding Professional Book! Product Lifecycle Management (PLM): A Digital Journey Using Industrial Internet of Things (IIot) provides a summary of the essential topics of Product Lifecycle Management (PLM) and the Industrial Internet of Things (IIoT) in the era of Industry 4.0. The book discusses emerging technologies, their contribution towards enhancing product design, development, and manufacturing. It also presents the integration of PLM, Enterprise Resource Planning (ERP), and Manufacturing Execution System (MES) along with IIoT as well the integration of mechanical, electronic components, embedded systems, firmware and software focusing on smart design, development, and manufacturing in the digital transformation journey. The book provides a high-level overview of how the smart product development through smart manufacturing materializes within the smart ecosystem. Manufacturing professionals, designers, mechanical, electrical, electronics, instrumentation and industrial engineers, information and communication technology consultants and those working in production planning, process control, and operations will find this book invaluable.

This book highlights interdisciplinary insights, latest research results, and technological trends in Business Intelligence and Modelling in fields such as: Business Intelligence, Business Transformation, Knowledge Dissemination & Implementation, Modeling for Logistics, Business Informatics, Business Model Innovation, Simulation Modelling, E-Business, Enterprise & Conceptual Modelling, etc. The book is divided into eight sections, grouping emerging marketing technologies together in a close examination of practices, problems and trends. The chapters have been written by researchers and practitioners that demonstrate a special orientation in Strategic Marketing and Business Intelligence. This volume shares their recent contributions to the field and showcases their exchange of insights.

Computer technology has developed remarkably in the field of neurosurgery during the past 10 to 20 years. Great achievements have been made recently in neuroimaging techniques and computer technology for neuronavigation, from frameless, armless systems to robotic microscopes. Contained in the present volume are all the papers presented at the International Symposium on Computer-Assisted Neurosurgery and selected papers presented at the 6th Annual Meeting of the Japanese Society of Computers in Neurosurgery, which were held in Kobe, Japan, on January 24-26, 1997. This volume is a comprehensive description and review of current technical ad vancements in computer-assisted neurosurgery, with a special focus on advanced intraoperative neuroimaging, various neuronavigation system, robotic microscopes, and strategies for preoperative and intraoperative surgical planning using high-power workstations with three-dimensional software. We express our thanks to the contributors for their participation and cooperation, and to Springer-Verlag for personal and technical assistance in publishing this work. We sincerely hope that this volume will contribute to improving neurosurgical technology and outcomes.

This book records the new research findings and development in the field of industrial engineering, and it will serve as the guidebook for the potential development in industrial engineering and smart manufacturing. It gathers the accepted papers from the 24th International conference on Industrial Engineering and Engineering Management held at Central South University of Forestry and Technology in Changsha during May 19-20, 2018. The aim of this conference was to provide a high-level international forum for experts, scholars and entrepreneurs at home and abroad to present the recent advances, new techniques and application, to promote discussion and interaction among academics, researchers and professionals to promote the developments and applications of the related theories and technologies in universities and enterprises, and to establish business or research relations to find global partners for future collaboration in the field of Industrial Engineering. It addresses diverse themes in smart manufacturing, artificial intelligence, ergonomics, simulation and modeling, quality and reliability, logistics engineering, data mining and other related fields. This timely book summarizes and promotes the latest achievements in the field of industrial engineering and related fields over the past year, proposing prospects and vision for the further development.

This book is designed to help students and researchers understand the latest research and development trends in the domain of geospatial information and communication (GeoICT) technologies. Accordingly, it covers the fundamentals of geospatial information systems, spatial positioning technologies, and networking and mobile communications, with a focus on OGC and OGC standards, Internet GIS, and location-based services. Particular emphasis is placed on introducing GeoICT as an integrated technology that effectively bridges various information-technology domains.

Internationally recognised researchers look at developing trends in combinatorics with applications in the study of words and in symbolic dynamics. They explain the important concepts, providing a clear exposition of some recent results, and emphasise the emerging connections between these different fields. Topics include combinatorics on words, pattern avoidance, graph theory, tilings and theory of computation, multidimensional subshifts, discrete dynamical systems, ergodic theory, numeration systems, dynamical arithmetics, automata theory and synchronised words, analytic combinatorics, continued fractions and probabilistic models. Each topic is presented in a way that links it to the main themes, but then they are also extended to repetitions in words, similarity relations, cellular automata, friezes and Dynkin diagrams. The book will appeal to graduate students, research mathematicians and computer scientists working in combinatorics, theory of computation, number theory, symbolic dynamics, tilings and stringology. It will also interest biologists using text algorithms.

Unique selling point: * Set up to be used as a college textbook with a complete "Case Study" that involves the use of Python (a very key programming language at this time) Core audience: * Cyber security professionals, college students in a cyber forensics class, and individuals interested in cyber crime Place in the market: * Will build on the success of the previous two editions

This book covers the new topic of GPU computing with many applications involved, taken from diverse fields such as networking, seismology, fluid mechanics, nano-materials, data-mining , earthquakes ,mantle convection, visualization. It will show the public why GPU computing is important and easy to use. It will offer a reason why GPU computing is useful and how to implement codes in an everyday situation.

This open access book provides a broad range of insights on market engineering and information management. It covers topics like auctions, stock markets, electricity markets, the sharing economy, information and emotions in markets, smart decision-making in cities and other systems, and methodological approaches to conceptual modeling and taxonomy development. Overall, this book is a source of inspiration for everybody working on the vision of advancing the science of engineering markets and managing information for contributing to a bright, sustainable, digital world. Markets are powerful and extremely efficient mechanisms for coordinating individuals' and organizations' behavior in a complex, networked economy. Thus, designing, monitoring, and regulating markets is an essential task of today's society. This task does not only derive from a purely economic point of view. Leveraging market forces can also help to tackle pressing social and environmental challenges. Moreover, markets process, generate, and reveal information. This information is a production factor and a valuable economic asset. In an increasingly digital world, it is more essential than ever to understand the life cycle of information from its creation and distribution to its use. Both markets and the flow of information should not arbitrarily emerge and develop based on individual, profit-driven actors. Instead, they should be engineered to serve best the whole society's goals. This motivation drives the research fields of market engineering and information management. With this book, the editors and authors honor Professor Dr. Christof Weinhardt for his enormous and ongoing contribution to market engineering and information management research and practice. It was presented to him on the occasion of his sixtieth birthday in April 2021. Thank you very much, Christof, for so many years of cooperation, support, inspiration, and friendship.

Intended specifically for practicing professionals and advanced students in chemistry and biochemistry, this invaluable book covers the full range of the computer applications in these fields, including numerical, nonnumerical, and graphics applications. New material includes multiple linear regression using MREG, principal-components analysis, Monte Carlo integration, parameterization of the force field, and molecular modeling software.

Major areas covered include:

• Error, Statistics, and the Floating-Point Number System
• Curve Fitting
• Multiple Linear Regression Analysis
• Numerical Integration
• Numerical Solution of Differential Equations
• Matrix Methods and Linear Equation Systems
• Random Numbers and Monte Carlo Simulation
• Simplex Optimization
• Chemical Structure Information Handling
• Mathematical Graph Theory
• Substructure Searching
• Molecular Mechanics and Molecular Dynamics
• Pattern Recognition
• Artificial Intelligence and Expert Systems
• Spectroscopic Library Searching and Structure Elucidation
• Graphical Display of Data and of Molecules

Whatever your area of research, this comprehensive, lucidly written book offers an indispensable resource of computer applications that will facilitate your work.

This book covers several new areas in the growing field of analytics with some innovative applications in different business contexts, and consists of selected presentations at the 6th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence. The book is conceptually divided in seven parts. The first part gives expository briefs on some topics of current academic and practitioner interests, such as data streams, binary prediction and reliability shock models. In the second part, the contributions look at artificial intelligence applications with chapters related to explainable AI, personalized search and recommendation, and customer retention management. The third part deals with credit risk analytics, with chapters on optimization of credit limits and mitigation of agricultural lending risks. In its fourth part, the book explores analytics and data mining in the retail context. In the fifth part, the book presents some applications of analytics to operations management. This part has chapters related to improvement of furnace operations, forecasting food indices and analytics for improving student learning outcomes. The sixth part has contributions related to adaptive designs in clinical trials, stochastic comparisons of systems with heterogeneous components and stacking of models. The seventh and final part contains chapters related to finance and economics topics, such as role of infrastructure and taxation on economic growth of countries and connectedness of markets with heterogenous agents, The different themes ensure that the book would be of great value to practitioners, post-graduate students, research scholars and faculty teaching advanced business analytics courses.

A unique probability study for computer science students

While many computer science curricula include only an introductory course on general probability, there is a recognized need for further study of this mathematical discipline within the specific context of computer science. Probability and Statistics for Computer Science develops introductory topics in probability with this particular emphasis, providing computer science students with an invaluable resource in their continued st udies and professional research.

James Johnson’s text begins with the basic definitions of probability distributions and random variables and then elaborates their properties and applications. Probability and Statistics for Computer Science treats the most common discrete and continuous distributions, showing how they find use in decision and estimation problems, and constructs computer algorithms for generating observations from the various distributions. This one-of-a-kind resource also:

• Includes a thorough and rigorous development of all the necessary supporting mathematics
• Provides an opportunity to reconnect applications with the theoretical concepts of distributions introduced in prerequisite courses
• Gathers supporting topics in an appendix: set theory, limit processes, real number structure, Riemann-Stieltjes integrals, matrix transformation, and determinants
• Uses computer science examples from computer science such as client-server performance evaluation and image processing

The author also addresses a variety of supporting topics, such as estimation arguments with limits, properties of power series, and Markov processes. Johnson’s text proves an ideal resource for computer science students and practitioners interested in a probability study specific to their field.

Currently there is growing interest in the application of dynamical methods to the study of cognition. Computation, Dynamics, and Cognition investigates this convergence from a theoretical and philosophical perspective, generating a provocative new view of the aims and methods of cognitive science. Advancing the dynamical approach as the methodological frame best equipped to guide inquiry in the field's two main research programs--the symbolic and connectionist approaches--Marco Giunti engages a host of questions crucial not only to the science of cognition, but also to computation theory, dynamical systems theory, philosophy of mind, and philosophy of science.
In chapter one Giunti employs a dynamical viewpoint to explore foundational issues in computation theory. Using the concept of Turing computability, he precisely and originally defines the nature of a computational system, sharpening our understanding of computation theory and its applications. In chapter two he generalizes his definition of a computational system, arguing that the concept of Turing computability itself is relative to the kind of support on which Turing machine operate. Chapter three completes the book's conceptual foundation, discussing a form of scientific explanation for real dynamical systems that Giunti calls "Galilean explanation."
The book's fourth and final chapter develops the methodological thesis that all cognitive systems are dynamical systems. On Giunti's view, a dynamical approach is likely to benefit even those scientific explanations of cognition which are based on symbolic models. Giunti concludes by proposing a new modeling practice for cognitive science, one based on "Galilean models" of cognitive systems.
Innovative, lucidly-written, and broad-ranging in its analysis, Computation, Dynamics, and Cognition will interest philosophers of science and mind, as well as cognitive scientists, computer scientists, and theorists of dynamical systems. This book elaborates a comprehensive picture of the application of dynamical methods to the study of cognition. Giunti argues that both computational systems and connectionist networks are special types of dynamical systems. He shows how this dynamical approach can be applied to problems of cognition, information processing, consciousness, meaning, and the relation between body and mind.

An exposition of the interplay between the modelling of dynamic systems and the design of feedback controllers based on these models is the main goal of this book. The combination of both subjects into a cohesive development allows the consistent treatment of both problems to yield powerful new tools for the improvement of system performance. Central among the themes of this work is the observation that operation of a system in feedback with a controller exposes the areas in which the model fit is constraining the controller performance achieved. The book presents new techniques for the understanding of the iterative improvement of performance through the successive fitting of models using closed-loop data and the design of high-performance controllers using these models. The subject matter includes: New approaches to understanding how to affect the fit of dynamical models to physical processes through the choice of experiments, data pre-filtering and model structure; connections between robust control design methods and their dependency on the quality of model fit; experimental design in which data collected in operation under feedback can reveal areas that limit the performance achieved; iterative approaches to link these model-fitting and control design phases in a cogent manner so as to achieve improved performance overall. The authors of individual chapters are some of the most renowned and authoritative figures in the fields of system identification and control design.

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. This up-to-date study guide offers 100% coverage of every objective for the current version of the AWS Certified Solutions Architect Professional exam Take the new release of the industry-leading AWS Certified Solutions Architect Associate exam with confidence using the comprehensive information contained in this fully updated self-study resource. Written by an enterprise solutions architect, the book offers exam-focused coverage of AWS architecture and application design and core services. Beyond exam preparation, the guide also serves as a valuable on-the-job reference. AWS Certified Solutions Architect Associate All-in-One Exam Guide, Second Edition (Exam SAA-C02) is based on a proven pedagogy and features special elements that teach and reinforce practical skills. The book contains accurate practice questions and detailed explanations. You will get implementation tips, hands-on examples, case studies, and best practices drawn from the author's experience. Covers 100% of new exam content, demonstrated through real-world scenariosOnline content includes 130 practice questions in the Total Tester exam engineWritten by an AWS enterprise solutions architect and regular conference speaker

The digitalization of archives produces a huge mass of structured documents (Big Data). Due to the proactive approach of public institutions (libraries, archives, administrations ...), this data is more and more accessible. This book aims to present and analyze concrete examples of collective intelligence at the service of digital archives.

Packed with projects and inspirational ideas you can do any time, any place, become an accomplished photographer while feeding your creativity with this guide that reveals what just what your smartphone camera is capable of. A camera phone is something we always have on us and creativity is something we all have in us but often we struggle to use them properly, feeling like we don't have the time, space or inclination to dedicate to it. Here, photography expert and bestselling author Jo Bradford supplies a collection of practical exercises that allow you to master the features on your smartphone camera to take incredible images and also help you to easily reconnect with your creative side. By encouraging you to try something different with your camera and seek out creative opportunities - from light painting to collage, image stacking to time-lapse landscapes - soon you will once again feel the satisfaction of thinking and acting creatively, with the added benefit of taking you from a snapper to an accomplished photographer with visual literacy. Smartphone photography is addictive with a tangible feel-good factor; it's time to embrace it and capture the moments that matter to you in all their glory.

This book presents in their basic form the most important models of computation, their basic programming paradigms, and their mathematical descriptions, both concrete and abstract. Each model is accompanied by relevant formal techniques for reasoning on it and for proving some properties. After preliminary chapters that introduce the notions of structure and meaning, semantic methods, inference rules, and logic programming, the authors arrange their chapters into parts on IMP, a simple imperative language; HOFL, a higher-order functional language; concurrent, nondeterministic and interactive models; and probabilistic/stochastic models. The authors have class-tested the book content over many years, and it will be valuable for graduate and advanced undergraduate students of theoretical computer science and distributed systems, and for researchers in this domain. Each chapter of the book concludes with a list of exercises addressing the key techniques introduced, solutions to selected exercises are offered at the end of the book.

The theory developed for 2 4-additive codes is the starting point for much generalization about codes over mixed alphabets. They have opened a new, emergent area of research. The techniques used for 2 4-linear codes are being generalized and applied to more general codes. By example, these codes have contributed to the classification of many nonlinear codes. Moreover, they can be considered as the starting point of many different generalizations given over mixed alphabets, thereby representing a useful area of research. Since 2010, more than 30 papers have been published about the codes considered in the book, which includes important classes of binary codes (1-perfect, Hadamard, etc.) that are not linear in general. For example, much recent research has shown the application of the techniques described for the family of cyclic 2 4-linear codes. Topics and Features: Examines everything from the basic definitions to very advanced results Provides numerous examples, succinctly and comprehensively gathering and using the relevant information Includes examples using commands from a new Magma package, developed mostly by the same authors Proposes algorithms, for instance to describe coding and decoding strategies This unique volume will be eminently suitable for researchers working on coding theory over rings, especially over mixed alphabets. Experts will find commands and algorithms that will be useful in the generalization to codes over mixed alphabets. Additionally, by outlining the basic theory of codes over mixed alphabets and providing numerous examples, the book will be useful to researchers wanting to be introduced to the topic. The authors are all affiliated with the Dept. of Information and Communications Engineering at the Universitat Autonoma de Barcelona, Spain. Joaquim Borges and Cristina Fernandez-Cordoba are Associate Professors, Jaume Pujol is a now retired Associate Professor, Josep Rifa is Professor Emeritus, and Merce Villanueva is Associate Professor.

The two unique benefits of Concurrent and Comparative Discrete Event Simulation are: speed, which is usually 1000 to 10 000 times faster than conventional discrete event simulation; and methodology, which permits the concurrent/comparative simulation of many thousands of experiments. One idea is that a one-for-many experiment, called the reference, is simulated in its entirety, while all others are simulated only where they differ from the reference. A second idea extends the first one; many one-for-many experiments will be significantly more efficient than only one experiment. These two ideas result in tremendous efficiencies, permitting the concurrent simulation of tens of thousands of experiments. The material in the book covers a vast application area in the scientific and business world. For example, in the design experimentation of nuclear power plant operations, many scenarios can be simulated to derive desirable designs or safe operating procedures. Concurrent fault simulation is already a mature technique in the computer aided design of digital systems. Concurrent/Comparative Simulation (CCS) of several instruction sets for a computer can help a designer in making performance tradeoffs. One of the most powerful future applications for CCS/MDCCS (Concurrent and Comparative Simulation/Multi-Domain Concurrent and Comparative Simulation) will be in the testing and debugging of computer programs.

At present, concerning intensive development of computer hardware and software, computer-based methods for modeling of difficult problems have become the main technique for theoretical and applied investigations. Many unsolved tasks for evolutionary systems (ES) are an important class of such problems. ES relate to economic systems on the whole and separate branches and businesses, scientific and art centers, ecological systems, populations, separate species of animals and plants, human organisms, different subsystems of organisms, cells of animals and plants, and soon. Available methods for modeling of complex systems have received considerable attention and led to significant results. No large-scale programs are done without methods of modeling today. Power programs, health programs, cosmos investigations, economy designs, etc. are a few examples of such programs. Nevertheless, in connection with the permanent complication of contemporary problems, existing means are in need of subsequent renovation and perfection. In the monograph, along with analysis of contemporary means, new classes of mathematical models (MM) which can be used for modeling in the most difficult cases are proposed and justified. The main peculiarities of these MM offer possibilities for the description ofES; creation and restoration processes; dynamics of elimination or reservation of obsolete technology in ES; dynamics of resources distribution for fulfillment of internal and external functions ofES; and so on. The complexity of the problems allows us to refer to the theory and applications of these MM as the mathematical theory of development. For simplicity, the title "Model Development and Optimization" was adopted.

System Innovation in a Post-Pandemic World contains the papers presented at the IEEE 7th International Conference on Applied System Innovation (ICASI 2021, Alishan, Taiwan, September 24-25, 2021). The conference received more than 200 submitted papers from 11 different countries, whereby roughly one third of these papers was selected by the committees and invited to present at ICASI 2021. The book provides an integrated communication platform for researchers from a wide range of disciplines including information technology, communication science, applied mathematics, computer science, advanced material science, and engineering. Hopefully, interdisciplinary collaborations between science and engineering technologists in the domains of academia and industry will be enhanced via this unique international network.

"Highly recommended for anyone in chemistry looking for a very readable book on chemical information retrieval." —Journal of the American Chemical Society (on the Second Edition)

The Essential Guide to Using CHemical Information Sources—in a brand-new Third Edition

More chemical information resources exist now than ever before, in an array of formats that can be daunting to novices and experts alike in every discipline of the field. Yet a sound working knowledge of available sources and how to access them is an invaluable asset to anyone working in the fast-moving world of modern chemistry—an essential tool for saving time, money, and effort.

This new edition of How to Find Chemical Information guides readers skillfully through today's complex maze of chemical information sources and systems, whether in electronic or printed form. It combines an in-depth examination of chemical information tools and access methods with tested principles for assessing and selecting the most appropriate sources for different needs. Thoroughly revised and updated to address all major developments and trends of recent years, How to Find Chemical Information, Third Edition is a peerless resource that features:

• The mechanics of chemistry information flow, communication patterns, and search strategies
• Detailed and up-to-date material on Chemical Abstracts Service and its products
• Other private and government chemical information sources
• Online databases, host systems, Internet files, CD-ROMs, and other electronic products and how these fit into the total information picture
• Encyclopedias, other major reference books, and reviews
• Journals and patent documents
• Coverage of safety, the environment, and related topics
• Chemical marketing and business resources
• Physical property data, process information, and more