Pei Zheng – författare
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4 produkter
4 produkter
E-bok
PDF, Engelska, 2010596 kr
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This in-depth technical guide is an essential resource for anyone involved in the development of "smart mobile wireless technology, including devices, infrastructure, and applications. Written by researchers active in both academic and industry settings, it offers both a big-picture introduction to the topic and detailed insights into the technical details underlying all of the key trends. Smart Phone and Next-Generation Mobile Computing shows you how the field has evolved, its real and potential current capabilities, and the issues affecting its future direction. It lays a solid foundation for the decisions you face in your work, whether you''re a manager, engineer, designer, or entrepreneur.- Covers the convergence of phone and PDA functionality on the terminal side, and the integration of different network types on the infrastructure side- Compares existing and anticipated wireless technologies, focusing on 3G cellular networks and wireless LANs- Evaluates terminal-side operating systems/programming environments, including Microsoft Windows Mobile, Palm OS, Symbian, J2ME, and Linux- Considers the limitations of existing terminal designs and several pressing application design issues- Explores challenges and possible solutions relating to the next phase of smart phone development, as it relates to services, devices, and networks- Surveys a collection of promising applications, in areas ranging from gaming to law enforcement to financial processing
Häftad, Engelska, 2006
566 kr
Skickas inom 10-15 vardagar
This in-depth technical guide is an essential resource for anyone involved in the development of “smart mobile wireless technology, including devices, infrastructure, and applications. Written by researchers active in both academic and industry settings, it offers both a big-picture introduction to the topic and detailed insights into the technical details underlying all of the key trends. Smart Phone and Next-Generation Mobile Computing shows you how the field has evolved, its real and potential current capabilities, and the issues affecting its future direction. It lays a solid foundation for the decisions you face in your work, whether you’re a manager, engineer, designer, or entrepreneur.
E-bok
Engelska, 2009809 kr
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Wireless Networking Complete is a compilation of critical content from key Morgan Kaufmann titles published in recent years on wireless networking and communications.Individual chapters are organized into one complete reference giving a 360-degree view from our bestselling authors. From wireless application protocols, to Mesh Networks and Ad Hoc Sensor Networks, to security and survivability of wireless systems – all of the elements of wireless networking are united in a single volume. The book covers both methods of analysis and problem-solving techniques, enhancing the reader''s grasp of the material and ability to implement practical solutions.This book is essential for anyone interested in new and developing aspects of wireless network technology.- Chapters contributed by recognized experts in the field cover theory and practice of wireless network technology, allowing the reader to develop a new level of knowledge and technical expertise- Up-to-date coverage of wireless networking issues facilitates learning and lets the reader remain current and fully informed from multiple viewpoints- Presents methods of analysis and problem-solving techniques, enhancing the reader''s grasp of the material and ability to implement practical solutions
E-bok
PDF, Engelska, 20101 203 kr
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Humans employ mostly natural languages in describing and representing problems, c- puting and reasoning, arriving at ?nal conclusions described similarly as words in a natural language or as the form of mental perceptions. To make machines imitate humans’ mental activities, the key point in terms of machine intelligence is to process uncertain information by means of natural languages with vague and imprecise concepts. Zadeh (1996a) proposed a concept of Computing with Words (CWW) to model and c- pute with linguistic descriptions that are propositions drawn from a natural language. CWW, followed the concept of linguistic variables (Zadeh, 1975a,b) and fuzzy sets (Zadeh, 1965), has been developed intensively and opened several new vast research ?elds as well as applied in various areas, particularly in the area of arti?cial intelligence. Zadeh (1997, 2005) emphasized that the core conceptions in CWW are linguistic variables and fuzzy logic (or approximate reasoning). In a linguistic variable, each linguistic value is explained by a fuzzy set (also called semantics of the linguistic value), its membership function is de?ned on the universe of discourse of the linguistic variable. By fuzzy sets, linguistic information or statements are quanti?ed by membership functions, and infor- tion propagation is performed by approximate reasoning. The use of linguistic variables implies processes of CWW such as their fusion, aggregation, and comparison. Different computational approaches in the literature addressed those processes (Wang, 2001; Zadeh and Kacprzyk, 1999a, b). Membership functions are generally at the core of many fuzzy-set theories based CWW.