on the power of fuzzy markup language

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On The Power Of Fuzzy Markup Language

Author : Giovanni Acampora
ISBN : 9783642354885
Genre : Computers
File Size : 23. 54 MB
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One of the most successful methodology that arose from the worldwide diffusion of Fuzzy Logic is Fuzzy Control. After the first attempts dated in the seventies, this methodology has been widely exploited for controlling many industrial components and systems. At the same time, and very independently from Fuzzy Logic or Fuzzy Control, the birth of the Web has impacted upon almost all aspects of computing discipline. Evolution of Web, Web2.0 and Web 3.0 has been making scenarios of ubiquitous computing much more feasible; consequently information technology has been thoroughly integrated into everyday objects and activities. What happens when Fuzzy Logic meets Web technology? Interesting results might come out, as you will discover in this book. Fuzzy Mark-up Language is a son of this synergistic view, where some technological issues of Web are re-interpreted taking into account the transparent notion of Fuzzy Control, as discussed here. The concept of a Fuzzy Control that is conceived and modeled in terms of a native web wisdom represents another step towards the last picture of Pervasive Web Intelligence.

Type 2 Fuzzy Logic And Systems

Author : Robert John
ISBN : 9783319728926
Genre : Computers
File Size : 31. 88 MB
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This book explores recent perspectives on type-2 fuzzy sets. Written as a tribute to Professor Jerry Mendel for his pioneering works on type-2 fuzzy sets and systems, it covers a wide range of topics, including applications to the Go game, machine learning and pattern recognition, as well as type-2 fuzzy control and intelligent systems. The book is intended as a reference guide for the type-2 fuzzy logic community, yet it aims also at other communities dealing with similar methods and applications.

Rules And Rule Markup Languages For The Semantic Web

Author : Asaf Adi
ISBN : 9783540299226
Genre : Computers
File Size : 80. 64 MB
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RuleML 2005 was the ?rst international conference on rules and rule markup languages for the Semantic Web, held in conjunction with the International Semantic Web C- ference (ISWC) at Galway, Ireland. With the success of the RuleML workshop series came the need for extended research and applications topics organized in a conference format. RuleML 2005 also accommodated the ?rst Workshop on OWL: Experiences and Directions. Rules are widely recognized to be a major part of the frontier of the Semantic Web, and critical to the early adoption and applications of knowledge-based techniques in- business, especially enterprise integration and B2B e-commerce. This includes kno- edge representation (KR) theory and algorithms; markup languages based on such KR; engines, translators, and other tools; relationships to standardization efforts; and, not least, applications. Interest and activity in the area of rules for the Semantic Web has grown rapidly over the last ?ve years. The RuleML 2005 Conference was aimed to be this year’s premiere scienti?c conference on the topic. It continued in topic, leadership, and collaboration with the previous series of three highly successful annual inter- tional workshops (RuleML 2004, RuleML 2003 and RuleML 2002). The theme for RuleML 2005 was rule languages for reactive and proactive rules, complex event p- cessing, and event-driven rules, to support the emergence of Semantic Web applications. Special highlights of the RuleML 2005 conference included the keynote address by Sir Tim Berners- Lee, Director of W3C.

Intelligent Industrial Systems Modeling Automation And Adaptive Behavior

Author : Rigatos, Gerasimos
ISBN : 9781615208500
Genre : Computers
File Size : 80. 89 MB
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In recent years, there has been growing interest in industrial systems, especially in robotic manipulators and mobile robot systems. As the cost of robots goes down and become more compact, the number of industrial applications of robotic systems increases. Moreover, there is need to design industrial systems with intelligence, autonomous decision making capabilities, and self-diagnosing properties. Intelligent Industrial Systems: Modeling, Automation and Adaptive Behavior analyzes current trends in industrial systems design, such as intelligent, industrial, and mobile robotics, complex electromechanical systems, fault diagnosis and avoidance of critical conditions, optimization, and adaptive behavior. This book discusses examples from major areas of research for engineers and researchers, providing an extensive background on robotics and industrial systems with intelligence, autonomy, and adaptive behavior giving emphasis to industrial systems design.

Proceedings Of The Ieee International Conference On Fuzzy Systems

Author : IEEE Neural Networks Council (New York, NY)
ISBN : 0780383532
Genre : Fuzzy systems
File Size : 38. 64 MB
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Foundations Of Statistical Natural Language Processing

Author : Christopher D.. Manning
ISBN : 0262133601
Genre : Language Arts & Disciplines
File Size : 68. 85 MB
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An introduction to statistical natural language processing (NLP). The text contains the theory and algorithms needed for building NLP tools. Topics covered include: mathematical and linguistic foundations; statistical methods; collocation finding; word sense disambiguation; and probalistic parsing.

Fuzzy Sets And Fuzzy Logic

Author : George J. Klir
ISBN : 9332549427
Genre :
File Size : 20. 41 MB
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Enhancing The Power Of The Internet

Author : Masoud Nikravesh
ISBN : 3540202374
Genre : Technology & Engineering
File Size : 49. 67 MB
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This book presents reports from the forefront of soft computing in the Internet industry and covers important topics in the field such as search engines, fuzzy query, decision analysis and support systems as well as e-business and e-commerce.

Sapiens

Author : Yuval Noah Harari
ISBN : 0771038518
Genre :
File Size : 44. 61 MB
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Destined to become a modern classic in the vein of Guns, Germs, and Steel, Sapiens is a lively, groundbreaking history of humankind told from a unique perspective. 100,000 years ago, at least six species of human inhabited the earth. Today there is just one. Us. Homo Sapiens. How did our species succeed in the battle for dominance? Why did our foraging ancestors come together to create cities and kingdoms? How did we come to believe in gods, nations, and human rights; to trust money, books, and laws; and to be enslaved by bureaucracy, timetables, and consumerism? And what will our world be like in the millennia to come? In Sapiens, Dr. Yuval Noah Harari spans the whole of human history, from the very first humans to walk the earth to the radical -- and sometimes devastating -- breakthroughs of the Cognitive, Agricultural, and Scientific Revolutions. Drawing on insights from biology, anthropology, palaeontology, and economics, he explores how the currents of history have shaped our human societies, the animals and plants around us, and even our personalities. Have we become happier as history has unfolded? Can we ever free our behaviour from the heritage of our ancestors? And what, if anything, can we do to influence the course of the centuries to come? Bold, wide-ranging and provocative, Sapiens challenges everything we thought we knew about being human: our thoughts, our actions, our power...and our future.

Semantic And Fuzzy Modelling For Human Behaviour Recognition In Smart Spaces

Author : N. Díaz Rodríguez
ISBN : 9781614996071
Genre : Computers
File Size : 49. 81 MB
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One of the major limitations of the Ambient Intelligent Systems today is the lack of semantic models of those activities on the environment, so that the system can recognize the specific activity being performed by the user(s) and act accordingly. In this context, this thesis addresses the general problem of knowledge representation in Smart Spaces. The main objective is to develop knowledge-based models, equipped with semantics to learn, infer and monitor human behaviours in Smart Spaces. Moreover, it is easy to recognize that some aspects of this problem have a high degree of uncertainty, and therefore, the developed models must be equipped with mechanisms to manage this type of information. As an added value, this system should be sufficiently simple and flexible to be managed by non-expert users, and thus, facilitate the transfer of research to industry. To do this, we develop graphical models to represent human behaviour in Smart Spaces, in order to provide them with more usability in the final application. As a result, human behaviour recognition can help assisting people with special needs such as independent elders, in remote rehabilitation monitoring, industrial process guidelines, and many other cases.

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