الصفحة 39
الصفحة 39
Future Interaction Design
In 1969 Herbert Simon wrote a book, The Science of the Artificial, in which he argued that cognitive science should have its area of application in the design of devices. He proposed the foundation of a science of the artificial related with cognitive science in the sense in which we have traditionally understood the relationship between the engineering disciplines and the basic sciences. Such a science has been called cognitive ergonomics or cognitive engineering (Norman 1986). Simon’s cognitive ergonomics (1969), would be independent of cognitive science, its basic science, although both would be closely related. Cognitive science would contribute knowledge on human cognitive processes, and cognitive ergonomics would contribute concrete problems of design that should be solved in the context of the creation of devices. Norman (1986), the author that coined the term cognitive engineering, conceived it as an applied cognitive science where the knowledge of cognitive science is combined with that of engineering to solve design problems. According to Norman, its objectives would be: (1) to understand the fundamental principles of human actions important for the development of the engineering of design principles, and (2) to build systems that are pleasant in their use.
Future Generation Grids
Future Generation Grids is the second in the CoreGRID series. This edited volume brings together contributed articles by scientists and researchers in the Grid community in an attempt to draw a clearer picture of the future generation Grids. This book also identifies some of the most challenging problems on the way to achieving the invisible Grid ideas.
Fundamentals of the New Artificial Intelligence: Neural, Evolutionary, Fuzzy and More
The significantly updated second edition of Fundamentals of the New Artificial Intelligence thoroughly covers the most essential and widely employed material pertaining to neural networks, genetic algorithms, fuzzy systems, rough sets, and chaos. In particular, this unique textbook explores the importance of this content for real-world applications.
Fundamentals of pattern recognition and machine learning
Fundamentals of Pattern Recognition and Machine Learning is designed for a one or two-semester introductory course in Pattern Recognition or Machine Learning at the graduate or advanced undergraduate level. The book combines theory and practice and is suitable to the classroom and self-study.
Fundamentals of multimedia ; 3rd ed.
Addresses real issues commonly faced in the workplace. The essential concepts are explained in a practical way to enable students to apply their existing skills to address problems in multimedia. Fully revised and updated, this new edition now includes coverage of such topics as 3D TV, social networks, high-efficiency video compression and conferencing, wireless and mobile networks, and their attendant technologies.
Fundamentals of multimedia ; 2nd ed.
Addresses real issues commonly faced in the workplace. The essential concepts are explained in a practical way to enable students to apply their existing skills to address problems in multimedia. Fully revised and updated, this new edition now includes coverage of such topics as 3D TV, social networks, high-efficiency video compression and conferencing, wireless and mobile networks, and their attendant technologies.
Fundamentals of manufacturing engineering using digital visualization
Offers a guide to core principles and practices of manufacturing engineering. It covers the design of, together with technological and measurement issues for, technical systems. Locating charts and setup schemes describing different machining processes are included. Concepts of product quality, with a focus on accuracy indicators, machining accuracy, roughness, and the impact of surface quality on exploitation properties are also explained. Furthermore, key machining methods, including turning, milling, hole machining, grinding, and gear machining, are analyzed in depth, covering their principles, applications, and techniques. The book is enriched by QR codes, linking to a mobile application presenting additional information about the content, for an interactive and extended learning experience. It also uses illustrations visualized with digital tools to promote a better understanding of the concepts.
Fundamentals of information systems security ; 3rd ed.
Provides a comprehensive overview of the essential concepts readers must know as they pursue careers in information systems security. The text opens with a discussion of the new risks, threats, and vulnerabilities associated with the transition to a digital world. Part 2 presents a high level overview of the Security+ Exam and provides students with information as they move toward this certification. The book closes with information on information security standards, education, professional certifications, and compliance laws. With its practical, conversational writing style and step-by-step examples, this text is a must-have resource for those entering the world of information systems security.
Fundamentals of information systems security ; 4th ed.
Provides a comprehensive overview of the concepts readers must know as they pursue careers in information systems security. The text opens with a discussion of emerging technologies and the risks, threats, and vulnerabilities associated with our digital world. Part II takes a deeper dive into the foundational knowledge areas and functions associated with a career in information security. The book closes with a survey of information security standards, professional certifications, and compliance laws. With its practical, conversational writing style and step-by-step examples, this text is a must-have resource for those entering the world of information systems security.
Fundamentals of image data mining : Analysis, features, classification and retrieval
Presents a comprehensive review of the essentials of image data mining, and the latest cutting-edge techniques used in the field. The coverage spans all aspects of image analysis and understanding, offering deep insights into areas of feature extraction, machine learning, and image retrieval. The theoretical coverage is supported by practical mathematical models and algorithms, utilizing data from real-world examples and experiments. Topics and features: Describes essential tools for image mining, covering Fourier transforms, Gabor filters, and contemporary wavelet transforms / Develops many new exercises (most with MATLAB code and instructions) / Includes review summaries at the end of each chapter / Analyses state-of-the-art models, algorithms, and procedures for image mining / Integrates new sections on pre-processing, discrete cosine transform, and statistical inference and testing / Demonstrates how features like color, texture, and shape can be mined or extracted for image representation / Applies powerful classification approaches: Bayesian classification, support vector machines, neural / networks, and decision trees / Implements imaging techniques for indexing, ranking, and presentation, as well as database visualization
Fundamentals of electric circuits ; 7th ed.
Presenting circuit analysis in a manner that is easier to understand, this title offers a balance of theory, worked and extended examples, practice problems, and real-world applications, combined with over 468 new or changed homework problems. It also includes over 100 "Design a Problem" exercises integrated into problem sets.
Fundamentals of computation theory ; 16th International Symposium, FCT 2007, Budapest, Hungary, August 27-30, 2007, Proceedings
This book constitutes the refereed proceedings of the 16th International Symposium Fundamentals of Computation Theory. The papers address all current topics in computation theory.
Fundamentals of computation theory ; 15th International symposium, FCT 2005, Lübeck, Gemany, August 17-20, 2005, Proceedings
This book constitutes the refereed proceedings of the 15th International Symposium Fundamentals of Computation Theory, FCT 2005, held in L]beck, Germany in August 2005. The 46 revised full papers presented together with 3 invited papers were carefully reviewed and selected from 105 submissions. The papers are organized in topical sections on circuits, automata, complexity, approximability, computational and structural complexity, graphs and complexity, computational game theory, visual cryptography and computational geometry, query complexity, distributed systems, automata and formal languages, semantics, approximation algorithms, average case complexity, algorithms, graph algorithms, and pattern matching.
Fundamentals of Clinical Data Science
This book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare.
Fundamentals of Artificial Intelligence
Fundamentals of Artificial Intelligence introduces the foundations of present day AI and provides coverage to recent developments in AI such as Constraint Satisfaction Problems, Adversarial Search and Game Theory, Statistical Learning Theory, Automated Planning, Intelligent Agents, Information Retrieval, Natural Language & Speech Processing, and Machine Vision. The book features a wealth of examples and illustrations, and practical approaches along with the theoretical concepts. It covers all major areas of AI in the domain of recent developments. The book is intended primarily for students who major in computer science at undergraduate and graduate level but will also be of interest as a foundation to researchers in the area of AI.
Fundamentals of Algebraic Graph Transformation
Graphs are widely used to represent structural information in the form of objects and connections between them. Graph transformation is the rule-based manipulation of graphs, an increasingly important concept in computer science and related fields. This is the first textbook treatment of the algebraic approach to graph transformation, based on algebraic structures and category theory.
Fundamentals and Methods of Machine and Deep Learning : Algorithms, Tools, and Applications
provides a practical approach by explaining the concepts of machine learning and deep learning algorithms, evaluation of methodology advances, and algorithm demonstrations with applications. In recent research studies, they are regarded as one of the disruptive technologies that will transform our future life, business, and the global economy. The recent explosion of digital data in a wide variety of domains, including science, engineering, Internet of Things, biomedical, healthcare, and many business sectors, has declared the era of big data, which cannot be analysed by classical statistics but by the more modern, robust machine learning and deep learning techniques. Since machine learning learns from data rather than by programming hard-coded decision rules, an attempt is being made to use machine learning to make computers that are able to solve problems like human experts in the field.
Fundamental networking in Java
This book is an in-depth learning and teaching resource for the understanding and programming of TCP/IP networking in Java. It covers 'everything you can do to a socket in Java' and explains when and why you might - or might not - want to do that. The book covers TCP and UDP using both blocking streams and non-blocking channels, and also SSL secure sockets in both blocking and non-blocking modes, unravelling the mysteries of the SSLEngine in the process. Particular attention is paid to the neglected topics of multi-homing and multicast. A unique chapter on client and server architectures uses a quantitative approach rather than the usual design-patterns approach, leading to architectures with predictable performance rather than just coding elegance.
Fundamental approaches to software engineering ; Vol. 3922 ; 9th International Conference, FASE 2006, Held as Part of the Joint European Conferences on Theory and Practice of Software, ETAPS 2006, Vienna, Austria, March 27-28, 2006, Proceedings
ETAPS 2006 was the ninth instance of the European Joint Conferences on Theory and Practice of Software. ETAPS is an annual federated conference that was established in 1998 by combining a number of existing and new conferences. The events that comprise ETAPS address various aspects of the system devel- ment process, including speci?cation, design, implementation, analysis and impro- ment. The languages, methodologies and tools which support these activities are all well within its scope. Di?erent blends of theory and practice are represented, with an inclination towards theory with a practical motivation on the one hand and soundly based practice on the other. Many of the issues involved in software design apply to systems in general, including hardware systems, and the emphasis on software is not intended to be exclusive.
Fundamental approaches to software engineering ; Vol. 3442 ; 8th International Conference, FASE 2005, Held as Part of the Joint European conferences on theory and practice of software, ETAPS 2005, Edinburgh, UK, April 4-8, 2005, Proceedings
ETAPS 2005 was the eighth instance of the European Joint Conferences on Theory and Practice of Software. ETAPS is an annual federated conference that was established in 1998 by combining a number of existing and new conf- ences. This year it comprised ?ve conferences (CC, ESOP, FASE, FOSSACS, TACAS), 17 satellite workshops (AVIS, BYTECODE, CEES, CLASE, CMSB, COCV, FAC, FESCA, FINCO, GCW-DSE, GLPL, LDTA, QAPL, SC, SLAP, TGC, UITP), seven invited lectures (not including those that were speci?c to the satellite events), and several tutorials. We received over 550 submissions to the ?ve conferences this year, giving acceptance rates below 30% for each one. The events that comprise ETAPS address various aspects of the system - velopment process, including speci?cation, design, implementation, analysis and improvement. The languages, methodologies and tools which support these - tivities are all well within its scope. Di?erent blends of theory and practice are represented, with an inclination towards theory with a practical motivation on the one hand and soundly based practice on the other. Many of the issues involved in software design apply to systems in general, including hardware s- tems,andtheemphasisonsoftwareisnotintendedtobeexclusive.
