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Books > Computing & IT > Applications of computing > General
This book describes a conceptual management system derived from the Business and Technology Relationship Model (BTRM). The BTRM describes the relationship between business and technology and provides simple definitions for service quality, alignment, agility, and governance. It explains our problems with traditional methods, democratizes the management and governance of enterprise technologies, and is suitable for introducing process automation. This book describes in detail how the BTRM, combined with a focus on value creation and value delivery, will enable continuous change, in the context of current, emerging and future technologies. It illustrates the potential for real-time insight and control not previously considered and provides a wide range of information to plan an implementation, understand where AI can be applied, and its importance in the world of self-managing systems. The topic of this book is particularly relevant for business managers, business technology managers and technology service providers.
This book presents recent developments in automatic text analysis. Providing an overview of linguistic modeling, it collects contributions of authors from a multidisciplinary area that focus on the topic of automatic text analysis from different perspectives. It includes chapters on cognitive modeling and visual systems modeling, and contributes to the computational linguistic and information theoretical grounding of automatic text analysis.
Geographic information system (GIS) computer technology is
revolutionizing the way we interact with information. Data, text,
drawings, maps, and images contain information that can be accessed
and used intuitively through drawings containing graphical
representations of the facilities to which they apply, e.g.,
emission stacks, sampling locations, and sites, to name only a few
examples.
How do cables and data centers think? This book investigates how information infrastructures enact particular forms of knowledge. It juxtaposes the pervasive logics of speed, efficiency, and resilience with more communal and ecological ways of thinking and being, turning technical "solutions" back into open questions about what society wants and what infrastructures should do. Moving from data centers in Hong Kong to undersea cables in Singapore and server clusters in China, Munn combines rich empirical material with insights drawn from media and cultural studies, sociology, and philosophy. This critical analysis stresses that infrastructures are not just technical but deeply epistemological, privileging some actions and actors while sidelining others. This innovative exploration of the values and visions at the heart of our technologies will interest students, scholars, and researchers in the areas of communication studies, digital media, technology studies, sociology, philosophy of technology, information studies, and geography.
This monograph describes new methods for intelligent pattern recognition using soft computing techniques including neural networks, fuzzy logic, and genetic algorithms. Hybrid intelligent systems that combine several soft computing techniques are needed due to the complexity of pattern recognition problems. Hybrid intelligent systems can have different architectures, which have an impact on the efficiency and accuracy of pattern recognition systems, to achieve the ultimate goal of pattern recognition. This book also shows results of the application of hybrid intelligent systems to real-world problems of face, fingerprint, and voice recognition. This monograph is intended to be a major reference for scientists and engineers applying new computational and mathematical tools to intelligent pattern recognition and can be also used as a textbook for graduate courses in soft computing, intelligent pattern recognition, computer vision, or applied artificial intelligence.
Microsoft (R) Office365/2019: In Practice offers a fresh approach to teaching today's students Microsoft (R) Office skills by clearly introducing skills in logical order through the TIP approach: 1) Topic 2) Instruction and 3) Practice. Nordell's TIP approach builds a foundation for success by helping students apply what they learn and provides transferable skills that allow students to grasp critical thinking beyond the textbook assignments. In Practice seamlessly integrates with SIMnet, McGraw Hill's online learning and assessment solution which houses content to help students practice and master computing concepts and Microsoft (R) Office skills in a fully simulated Office environment. In Practice auto-graded projects allow students to practice their skills in a live Office application and upon completion receive immediate feedback and insights saving instructors time. The integration of the The In Practice textbook series with SIMnet helps meet the diverse needs of students and accommodate individual learning styles.
As increasing numbers of social anthropoloists use computers for wordprocessing, interest in other applications inevitably follows. "Applications in Computing for Social Anthropologists" addresses this interest and encourages researchers to make full use of their computers to help them organize data. Firstly, the author discusses computing applications in relation to research activities shared by all anthropologists - ethnographic fieldwork, management and analysis of footnotes and the use of visual and aural material. The book then illustrates the way in which computer-based representations can satisfy the requirements of anthropological methods with a detailed examination of representing kinship relations in an original way. Nal developments in the representation of visual and aural data on computers, as well as possible applications of knowledge based models are also introduced.
This book presents the fundamental concepts of fuzzy logic and fuzzy control, chaos theory and chaos control. It also provides a definition of chaos on the metric space of fuzzy sets. The book raises many questions and generates a great potential to attract more attention to combine fuzzy systems with chaos theory. In this way it contains important seeds for future scientific research and engineering applications.
This textbook is a comprehensive introduction to applied spatial data analysis using R. Each chapter walks the reader through a different method, explaining how to interpret the results and what conclusions can be drawn. The author team showcases key topics, including unsupervised learning, causal inference, spatial weight matrices, spatial econometrics, heterogeneity and bootstrapping. It is accompanied by a suite of data and R code on Github to help readers practise techniques via replication and exercises. This text will be a valuable resource for advanced students of econometrics, spatial planning and regional science. It will also be suitable for researchers and data scientists working with spatial data.
Virtual technology is increasingly prevalent in all spheres of daily life, including infiltration into governmental policies, processes, infrastructures, and frameworks. E-Government Research: Policy and Management provides scholars and practitioners with a critical mass of research on the integration, management, implications, and application of e-government. Covering such issues as e-government adoption and diffusion; social and performance issues of e-government; and information security, privacy, and policy, this book is an essential resource to any library collection.
The aim of this volume of scientific essays is twofold. On the one hand, by remembering the scientific figure of Eduardo R. Caianiello, it aims at focusing on his outstanding contributions - from theoretical physics to cybernetics - which after so many years still represent occasion of innovative paths to be fruitfully followed. It must be stressed the contribution that his interdisciplinary methodology can still be of great help in affording and solving present day complex problems. On the other hand, it aims at pinpointing with the help of the scientists contributing to the volume - some crucial problems in present day research in the fields of interest of Eduardo Caianiello and which are still among the main lines of investigation of some of the Institutes founded by Eduardo (Istituto di Cibernetica del CNR, IIAS, etc).
This book has a rather strange history. It began in spring 1989, thirteen years after our Systems Science Department at SUNY-Binghamton was established, when I was asked by a group of students in our doctoral program to have a meeting with them. The spokesman of the group, Cliff Joslyn, opened our meeting by stating its purpose. I can closely paraphrase what he said: "We called this meeting to discuss with you, as Chairman of the Department, a fundamental problem with our systems science curriculum. In general, we consider it a good curriculum: we learn a lot of concepts, principles, and methodological tools, mathematical, computational, heu ristic, which are fundamental to understanding and dealing with systems. And, yet, we learn virtually nothing about systems science itself. What is systems science? What are its historical roots? What are its aims? Where does it stand and where is it likely to go? These are pressing questions to us. After all, aren't we supposed to carry the systems science flag after we graduate from this program? We feel that a broad introductory course to systems science is urgently needed in the curriculum. Do you agree with this assessment?" The answer was obvious and, yet, not easy to give: "I agree, of course, but I do not see how the situation could be alleviated in the foreseeable future."
The book is devoted to the perturbation analysis of matrix equations. The importance of perturbation analysis is that it gives a way to estimate the influence of measurement and/or parametric errors in mathematical models together with the rounding errors done in the computational process. The perturbation bounds may further be incorporated in accuracy estimates for the solution computed in finite arithmetic. This is necessary for the development of reliable computational methods, algorithms and software from the viewpoint of modern numerical analysis.
This book brings together some of the most impactful researchers in the field of Genetic Programming (GP), each one working on unique and interesting intersections of theoretical development and practical applications of this evolutionary-based machine learning paradigm. Topics of particular interest for this year´s book include powerful modeling techniques through GP-based symbolic regression, novel selection mechanisms that help guide the evolutionary process, modular approaches to GP, and applications in cybersecurity, biomedicine and program synthesis, as well as papers by practitioner of GP that focus on usability and real-world results. In summary, readers will get a glimpse of the current state of the art in GP research.
One of the main applications of VHDL is the synthesis of electronic circuits. Circuit Synthesis with VHDL is an introduction to the use of VHDL logic (RTL) synthesis tools in circuit design. The modeling styles proposed are independent of specific market tools and focus on constructs widely recognized as synthesizable by synthesis tools. A statement of the prerequisites for synthesis is followed by a short introduction to the VHDL concepts used in synthesis. Circuit Synthesis with VHDL presents two possible approaches to synthesis: the first starts with VHDL features and derives hardware counterparts; the second starts from a given hardware component and derives several description styles. The book also describes how to introduce the synthesis design cycle into existing design methodologies and the standard synthesis environment. Circuit Synthesis with VHDL concludes with a case study providing a realistic example of the design flow from behavioral description down to the synthesized level. Circuit Synthesis with VHDL is essential reading for all students, researchers, design engineers and managers working with VHDL in a synthesis environment.
Informatization is playing an increasingly important role in democratic politics. For some time already, various applications of Information and Communication Technologies (ICT) are, more or less successfully, used by politicians, representative bodies, political parties and citizens. It is, however, reasonable to believe that informatizaton will be of paramount interest for existing actors and institutions that are involved in public decision-making in a democracy. The advent of telecommunication infrastructures that will enable the use of all kinds of interactive facilities, is considered to be an important step towards a more participative democratic system. Many projects that share a common feature have been set up: their ambition to renew democratic decision-making structures and practises with the help of ICT. Most of these projects can be found at the level of local and/or regional government. In this book, the claim that these projects can reform or strengthen democratic politics is explored and discussed both empirically and theoretically. The research that is presented in this book makes clear that, as far as the role of informatization regarding the functioning of the democratic polity is concerned, it appears that informatization represents both opportunities and threats.
Written by a distinguished cast of contributors, Alan Turing: Life and Legacy of a Great Thinker is the definitive collection of essays in commemoration of the 90th birthday of Alan Turing. This fascinating text covers the rich facets of his life, thoughts, and legacy, but also sheds some light on the future of computing science with a chapter contributed by visionary Ray Kurzweil, winner of the 1999 National Medal of Technology. Further, important contributions come from the philosopher Daniel Dennett, the Turing biographer Andrew Hodges, and from the distinguished logician Martin Davis, who provides a first critical essay on an emerging and controversial field termed "hypercomputation."
This practical new book offers the distributed-computing fundamental knowledge for individuals to connect with one another in a more secure and efficient way than with traditional blockchains. These new forms of secure, scalable blockchains promise to replace centralized institutions to connect individuals without the risks of user manipulations or data extortions. The techniques taught herein consist of enhancing blockchain security and making blockchain scalable by relying on the observation that no blockchain can exist without solving the consensus problem. First, the state-of-the-art of consensus protocols are analyzed, hence motivating the need for a new family of consensus protocols offering strong (deterministic) guarantees. Second, a didactic series of classic blockchain vulnerabilities is presented to illustrate the importance of novel designs better suited for the adversarial environment of open networks. These cutting-edge solutions are illustrated through the Redbelly blockchain design, which solves a different problem from the classic Byzantine consensus problem of 1982 and which delivers-in the modern blockchain context-high performance at large scale. Topics and features: Covers the combination of security and distributed computing to devise the new generation of blockchains Shows how blockchain has shed new light on decades of research in distributed systems Provides instruction on the security needed by the industry to use blockchains in production Explains didactically the necessary ingredients to make blockchain efficient at large scale Helps fill the gap of knowledge in the highly demanded blockchain sector This unique volume contains the building blocks to design secure and scalable blockchains. As such, it is dedicated to developers, application designers, and computer scientists and requires only a minimal undergraduate level in mathematics and computer science. Vincent Gramoli is an Australian Research Council Future Fellow at the University of Sydney and the Chief Technology Officer of Redbelly Network. He teaches the Blockchain Scalability course on Coursera.
Align IT projects strategically to achieve business goals and objectives Project management and leadership to seize opportunities and manage threats Build and follow a roadmap to implement strategic governance Assess and improve project management capabilities Includes templates and case studies
The objective of this edited volume is to offer a general view at the recent conceptual developments of Soft Computing (SC) regarded as a general methodology supporting the design of hybrid systems along with their diversified applications to modeling, simulation and control of non-linear dynamical systems. As of now, SC methodologies embrace neural networks, fuzzy logic, genetic algorithms and chaos theory. Each of these methodologies exhibits well delineated advantages and disadvantages. Interestingly, they have been found useful in solving a broad range of problems. However, many real-world complex problems require a prudent, carefully orchestrated integration of several of these methodologies to fully achieve the required efficiency, accuracy, and interpretability of the solutions. In this edited volume, an overview of SC methodologies, and their applications to modeling, simulation and control, will be given in an introductory paper by the Editors. Then, detailed methods for integrating the different SC methodologies in solving real-world problems will be given in the papers by the other authors in the book. The edited volume will cover a wide spectrum of applications including areas such as: robotic dynamic systems, non-linear plants, manufacturing systems, and time series prediction.
Discussing career decision making (CDM), career guidance, a
computerized system of career guidance, and the interplay among
them, this book describes the way people sort themselves, or are
sorted, into educational and occupational options. The options
represent the content of this book, and the sorting represents the
process. The sequence of decisions may extend over a lifetime, but
several crucial choice-points tend to occur at predictable stages
in a career. Career guidance is a professional intervention in CDM;
"professional" implies that practitioners conform to a standard of
ethics, knowledge, and competence beyond what may be offered by
other intervenors. Guidance is partly an art, but it is also partly
a science -- at least an application of science, based on a
synthesis of logic and evidence derived from research.
This work examines the topic of dispute resolution, specifically the multi-criteria approach that seeks to arrive at a conclusion that is mutually beneficial to both sides. Through the use of decision-aiding software, the multi-criteria approach can allow each side to give on various criteria that are not important to it, but are important to the other side. In this way, a super-optimum solution may even be met, in which both sides receive something significantly better than they had expected. Such a result is very difficult, if not impossible, to achieve, Stuart Nagel points out, in traditional single-dimension dispute resolution. Nagel and Mills describe the nature of multi-criteria dispute resolution utilizing decision-aiding software. The first part of the book clarifies the general character of computer-aided negotiation, computer-aided mediation, and super-optimizing dispute resolution. Part two guides the reader through the use of Policy/Goal Percentaging (P/G%) decision-aiding software, centering on general decision-making, negotiation, mediation, and prediction of outcomes. Multi-criteria resolution in the context of rule-making and legal policy disputes is the focus of part three, where such matters as determining initial alternatives and criteria, resolving deadlocks, and arriving at super-optimum solutions are discussed. Part four emphasizes dispute resolution in the context of rule-applying and litigation disputes, as well as mediation at the international level and between lawyers and clients. The final part deals with future applications, such as computer-aided mediation and group decision-making with phone modems. The book's combination of decision-aiding software, arbitration-mediation, and super-optimum expansionist decision-making brings a truly innovative approach to the topic of dispute resolution. This volume should be a welcome addition to academic, legal, and public libraries, and a valuable reference work for lawyers, law students, and legal professors and researchers. |
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