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Books > Computing & IT > General theory of computing
The creation and consumption of content, especially visual content, is ingrained into our modern world. This book contains a collection of texts centered on the evaluation of image retrieval systems. To enable reproducible evaluation we must create standardized benchmarks and evaluation methodologies. The individual chapters in this book highlight major issues and challenges in evaluating image retrieval systems and describe various initiatives that provide researchers with the necessary evaluation resources. In particular they describe activities within ImageCLEF, an initiative to evaluate cross-language image retrieval systems which has been running as part of the Cross Language Evaluation Forum (CLEF) since 2003. To this end, the editors collected contributions from a range of people: those involved directly with ImageCLEF, such as the organizers of specific image retrieval or annotation tasks; participants who have developed techniques to tackle the challenges set forth by the organizers; and people from industry and academia involved with image retrieval and evaluation generally. Mostly written for researchers in academia and industry, the book stresses the importance of combing textual and visual information - a multimodal approach - for effective retrieval. It provides the reader with clear ideas about information retrieval and its evaluation in contexts and domains such as healthcare, robot vision, press photography, and the Web.
Instructional Design in the Real World: A View from the Trenches offers guidance on how the traditional instructional design system has been used and how it must be changed to work within other systems. The environments and systems that affect the ADDIE (Analysis, Design, Development, Implementation, Evaluation) process and to which it must be adapted include corporations, industry, consulting organizations, health care facilities, church and charitable groups, the military, the government, educational institutions, and others. Its application must be filtered and altered by the environments and the systems where the learning or training takes place. Every chapter includes a case study showing how the application of ID strategies, learning theories, systems theory, management theories and practices and communication tools and practices are adapted and applied in various environments. The chapters also contain lessons learned, tool tips, and suggestions for the future.
This book adheres to the vision that in the future compelling user experiences will be key differentiating benefits of products and services. Evaluating the user experience plays a central role, not only during the design process, but also during regular usage: for instance a video recorder that recommends TV programs that fit your current mood, a product that measures your current level of relaxation and produces advice on how to balance your life, or a module that alerts a factory operator when he is getting drowsy. Such systems are required to assess and interpret user experiences (almost) in real-time, and that is exactly what this book is about. How to achieve this? What are potential applications of psychophysiological measurements? Are real-time assessments based on monitoring of user behavior possible? If so, which elements are critical? Are behavioral aspects important? Which technology can be used? How important are intra-individual differences? What can we learn from products already on the market? The book gathers a group of invited authors from different backgrounds, such as technology, academy and business. This is a mosaic of their work, and that of Philips Research, in the assessment of user experience, covering the full range from academic research to commercial propositions..
Candida Ferreira thoroughly describes the basic ideas of gene expression programming (GEP) and numerous modifications to this powerful new algorithm. This monograph provides all the implementation details of GEP so that anyone with elementary programming skills will be able to implement it themselves. The book also includes a self-contained introduction to this new exciting field of computational intelligence, including several new algorithms for decision tree induction, data mining, classifier systems, function finding, polynomial induction, times series prediction, evolution of linking functions, automatically defined functions, parameter optimization, logic synthesis, combinatorial optimization, and complete neural network induction. The book also discusses some important and controversial evolutionary topics that might be refreshing to both evolutionary computer scientists and biologists. This second edition has been substantially revised and extended with five new chapters, including a new chapter describing two new algorithms for inducing decision trees with nominal and numeric/mixed attributes."
Computable Calculus treats the fundamental topic of calculus in a
novel way that is more in tune with today's computer age.
Comprising 11 chapters and an accompanying CD-ROM, the book
presents mathematical analysis that has been created to deal with
constructively defined concepts. The book's "show your work"
approach makes it easier to understand the pitfalls of various
computations and, more importantly, how to avoid these pitfalls.
Calculus has been used in solving many scientific and engineering problems. For optimization problems, however, the differential calculus technique sometimes has a drawback when the objective function is step-wise, discontinuous, or multi-modal, or when decision variables are discrete rather than continuous. Thus, researchers have recently turned their interests into metaheuristic algorithms that have been inspired by natural phenomena such as evolution, animal behavior, or metallic annealing. This book especially focuses on a music-inspired metaheuristic algorithm, harmony search. Interestingly, there exists an analogy between music and optimization: each musical instrument corresponds to each decision variable; musical note corresponds to variable value; and harmony corresponds to solution vector. Just like musicians in Jazz improvisation play notes randomly or based on experiences in order to find fantastic harmony, variables in the harmony search algorithm have random values or previously-memorized good values in order to find optimal solution.
Thecontinuousandincreasinginterestconcerningvectoroptimizationperc- tible in the research community, where contributions dealing with the theory of duality abound lately, constitutes the main motivation that led to writing this book. Decisive was also the research experience of the authors in this ?eld, materialized in a number of works published within the last decade. The need for a book on duality in vector optimization comes from the fact that despite the large amount of papers in journals and proceedings volumes, no book mainly concentrated on this topic was available so far in the scienti?c landscape. There is a considerable presence of books, not all recent releases, on vector optimization in the literature. We mention here the ones due to Chen,HuangandYang(cf. [49]),EhrgottandGandibleux(cf. [65]),Eichfelder (cf. [66]), Goh and Yang (cf. [77]), G.. opfert and Nehse (cf. [80]), G.. opfert, - ahi, Tammer and Z? alinescu (cf. [81]), Jahn (cf. [104]), Kaliszewski (cf. [108]), Luc (cf. [125]), Miettinen (cf. [130]), Mishra, Wang and Lai (cf. [131,132]) and Sawaragi, Nakayama and Tanino (cf. [163]), where vector duality is at most tangentially treated. We hope that from our e?orts will bene? t not only researchers interested in vector optimization, but also graduate and und- graduate students. The framework we consider is taken as general as possible, namely we work in (locally convex) topological vector spaces, going to the usual ?nite - mensional setting when this brings additional insights or relevant connections to the existing literature.
This book presents four mathematical essays which explore the foundations of mathematics and related topics ranging from philosophy and logic to modern computer mathematics. While connected to the historical evolution of these concepts, the essays place strong emphasis on developments still to come. The book originated in a 2002 symposium celebrating the work of Bruno Buchberger, Professor of Computer Mathematics at Johannes Kepler University, Linz, Austria, on the occasion of his 60th birthday. Among many other accomplishments, Professor Buchberger in 1985 was the founding editor of the Journal of Symbolic Computation; the founder of the Research Institute for Symbolic Computation (RISC) and its chairman from 1987-2000; the founder in 1990 of the Softwarepark Hagenberg, Austria, and since then its director. More than a decade in the making, Mathematics, Computer Science and Logic - A Never Ending Story includes essays by leading authorities, on such topics as mathematical foundations from the perspective of computer verification; a symbolic-computational philosophy and methodology for mathematics; the role of logic and algebra in software engineering; and new directions in the foundations of mathematics. These inspiring essays invite general, mathematically interested readers to share state-of-the-art ideas which advance the never ending story of mathematics, computer science and logic. Mathematics, Computer Science and Logic - A Never Ending Story is edited by Professor Peter Paule, Bruno Buchberger s successor as director of the Research Institute for Symbolic Computation. "
This book will help organizations who have implemented or are considering implementing Microsoft Dynamics achieve a better result. It presents Regatta Dynamics, a methodology developed by the authors for the structured implementation of Microsoft Dynamics. From A-to-Z, it details the full implementation process, emphasizing the organizational component of the implementation process and the cohesion with functional and technical processes.
In e-learning, the learner spends a significant amount of time online, interacting with Web-based applications. This interaction carries tremendous weight in the learning process, because it directly influences the way the learner receives, comprehends, and ultimately retains information. Affective, Interactive, and Cognitive Methods for E-Learning Design: Creating an Optimal Education Experience brides a current gap in e-learning literature through focus on the study and application of human computer interaction principles in the design of online education in order to offer students the optimal learning experience. This advanced publication gives insight into the most significant design issues encountered and offers solutions to help in the creation of an ideal learning environment.
Information infrastructures are integrated solutions based on the fusion of information and communication technologies. They are characterized by the large amount of data that must be managed accordingly. An information infrastructure requires an efficient and effective information retrieval system to provide access to the items stored in the infrastructure. Terminological Ontologies: Design, Management and Practical Applications presents the main problems that affect the discovery systems of information infrastructures to manage terminological models, and introduces a combination of research tools and applications in Semantic Web technologies. This book specifically analyzes the need to create, relate, and integrate the models required for an infrastructure by elaborating on the problem of accessing these models in an efficient manner via interoperable services and components. Terminological Ontologies: Design, Management and Practical Applications is geared toward information management systems and semantic web professionals working as project managers, application developers, government workers and more. Advanced undergraduate and graduate level students, professors and researchers focusing on computer science will also find this book valuable as a secondary text or reference book.
The book discusses intelligent system design using soft computing and similar systems and their interdisciplinary applications. It also focuses on the recent trends to use soft computing as a versatile tool for designing a host of decision support systems.
This book aims to deconstruct ethnography to alert systems designers, and other stakeholders, to the issues presented by new approaches that move beyond the studies of 'work' and 'work practice' within the social sciences (in particular anthropology and sociology). The theoretical and methodological apparatus of the social sciences distort the social and cultural world as lived in and understood by ordinary members, whose common-sense understandings shape the actual milieu into which systems are placed and used. In Deconstructing Ethnography the authors show how 'new' calls are returning systems design to 'old' and problematic ways of understanding the social. They argue that systems design can be appropriately grounded in the social through the ordinary methods that members use to order their actions and interactions. This work is written for post-graduate students and researchers alike, as well as design practitioners who have an interest in bringing the social to bear on design in a systematic rather than a piecemeal way. This is not a 'how to' book, but instead elaborates the foundations upon which the social can be systematically built into the design of ubiquitous and interactive systems.
This book presents an overview of the differential evolution algorithm. In the last few years the evolutionary computation domain has developed rapidly, and differential evolution is one of the representatives of this domain. It is a recently invented evolutionary algorithm that is gaining more and more popularity. Originally proposed for continuous unconstraint optimization, it was enlarged both for mixed optimization and for handling nonlinear constraints. Later on, new strategies, tuning, and adaptation of control parameters, ways of hybridization were elaborated. Attempts at theoretical analysis were accomplished as well. Moreover, the algorithm has a huge number of practical applications in different areas of science and industry.
This volume presents 38 classic texts in formal epistemology, and strengthens the ties between research into this area of philosophy and its neighbouring intellectual disciplines. The editors provide introductions to five subsections: Bayesian Epistemology, Belief Change, Decision Theory, Interactive Epistemology and Epistemic Logic. 'Formal epistemology' is a term coined in the late 1990s for a new constellation of interests in philosophy, the origins of which are found in earlier works of epistemologists, philosophers of science and logicians. It addresses a growing agenda of problems concerning knowledge, belief, certainty, rationality, deliberation, decision, strategy, action and agent interaction - and it does so using methods from logic, probability, computability, decision and game theory. The volume also includes a thorough index and suggestions for further reading, and thus offers a complete teaching and research package for students as well as research scholars of formal epistemology, philosophy, logic, computer science, theoretical economics and cognitive psychology.
This book presents the technical program of the International Embedded Systems Symposium (IESS) 2009. Timely topics, techniques and trends in embedded system design are covered by the chapters in this volume, including modelling, simulation, verification, test, scheduling, platforms and processors. Particular emphasis is paid to automotive systems and wireless sensor networks. Sets of actual case studies in the area of embedded system design are also included. Over recent years, embedded systems have gained an enormous amount of proce- ing power and functionality and now enter numerous application areas, due to the fact that many of the formerly external components can now be integrated into a single System-on-Chip. This tendency has resulted in a dramatic reduction in the size and cost of embedded systems. As a unique technology, the design of embedded systems is an essential element of many innovations. Embedded systems meet their performance goals, including real-time constraints, through a combination of special-purpose hardware and software components tailored to the system requirements. Both the development of new features and the reuse of existing intellectual property components are essential to keeping up with ever more demanding customer requirements. Furthermore, design complexities are steadily growing with an increasing number of components that have to cooperate properly. Embedded system designers have to cope with multiple goals and constraints simul- neously, including timing, power, reliability, dependability, maintenance, packaging and, last but not least, price.
Requirements Management has proven itself to be an enormous potential for the optimization of development projects throughout the last few years. Especially in the climate of an increasingly competitive market Requirements Management helps in carrying out developments faster, cheaper and with a higher quality. This book focuses on the interfaces of Requirements Management to the other disciplines of Systems Engineering, for example Project Management, Change Management and Configuration and Version Management. To this end, an introduction into Requirements Management and Requirements Development is given, along with a short sketch of Systems Engineering, and especially the necessary inputs and resulting outputs of Requirements Management are explained. Using these flows of information it is shown how Requirements Management can support and optimize the other project disciplines and how very important therefore a functioning Requirements Management is for all areas of development.
Thepurposeofthe 7thIEEE/ACISInternationalConferenceonComputerandInfor- tion Science (ICIS2008)and the 2nd IEEE/ACISInternationalWorkshop on e-Activity (IWEA 2008) to be held on May 14-16, 2008 in Portland, Oregon, U.S.A. is to bring together scientists, engineers, computer users, and students to share their experiences and exchange new ideas and research results about all aspects (theory, applications and tools) of computer and information science; and to discuss the practical challenges - countered along the way and the solutions adopted to solve them. In January, 2008 one of editors of this book approached in house editor Dr. Thomas Ditzingeraboutpreparingavolumecontainingextendedandimprovedversionsofsome of the papers selected for presentation at the conference and workshop. Upon receiving Dr. Ditzinger's approval, conference organizers selected 23 outstanding papers from ICIS/IWEA 2008, all of which you will nd in this volume of Springer's Studies in Computational Intelligence. In chapter 1, Fabio Perez Marzullo et al. describe a model driven architecture (MDA) approachfor assessing database performance.The authorspresent a pro ling technique that offers a way to assess performance and identify aws, while performing software construction activities. In chapter 2, authorsHuy Nguyen Anh Pham and EvangelosTriantaphyllouoffera new approachfortesting classi cation algorithms, and present thisapproachthroughrean- ysis of the Pima Indian diabetes dataset, one of the most well-known datasets used for this purpose. The new method put forth by the authors is dubbed the Homogeneity- Based Algorithm(HBA), and it aims to optimally control the over ttingand overgen- alization behaviors that have proved problematic for previous classi cation algorithms on this dataset.
The most significant articles from each of the fields represented at the conference on Work with Display Units 1992 are presented in this volume. Such topics are:
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