
Résumé
The Intelligent Wireless Web examines the convergence and synergy among five key technological components: speech used as a primary user interface; wireless personal area networks (WPANs); an integrated wired/wireless network infrastructure; supporting wireless protocols; and intelligent applications. It investigates available technologies and standards that are currently being developed to bring these goals into the mainstream of Internet use.
Inside you'll find an introduction to a wide variety of topics, as well as an in-depth look at the fundamental relationships between cutting-edge technologies such as:
- Speech recognition and understanding text-to-speech generators, and Speech Synthesis Markup Language (SSML)
- Personal Area Networks (PANs),Bluetooth(TM), Jini(TM), and Universal Plug & Play
- Spread Spectrum, wireless networks, and the IEEE 802.11 standard
- Wireless handheld devices and third-generation TDMA and CDMA
- Mobile IP, Wireless Application Protocol (WAP), and Wireless Markup Language (WML)
- Web Services, .NET, J2EE(TM), SOAP, UDDI, WSDL, and XML
- Neural networks, adaptive software, data mining, and agents
- Machine learning and Distributed Artificial Intelligence
- Semantic Web Architecture
Ongoing research projects, such as MIT's Project OXYGEN, are used throughout to illustrate elements of the intelligent wireless Web in action. Appendixes present standards organizations, mobile protocols, security issues, and a case study of knowledge management. With an understanding of the trends, goals, and technologies described in The Intelligent Wireless Web, you will be well-positioned to develop your own strategic planning for the coming world of the ubiquitous Internet.
Contents
List of Figures.
List of Tables.
Introduction.
Acknowledgements.
About the Authors.
I. CONNECTING PEOPLE TO DEVICES.
1. Developing a Framework for the Intelligent Wireless Web.User Interface—From Click to Speech.
Personal Space—Wired to Wireless.
Networks—From Wired to Integrated Wired/Wireless.
Protocols—From IP to Mobile IP.
Web Architecture Dumb and Static to Intelligent and Dynamic.
Web IQ.
Conclusion.
2. Speech Recognition and Understanding.
Language.
Speech/Sound Recording, Compression and Analysis.
Speech Recognition & Understanding.
Speech Representation, Storage, Transmission and Analysis.
Speech Understanding.
Examples of Voice Activation.
Future Trends.
Challenges and Opportunities.
Conclusion.
II. CONNECTING DEVICES TO DEVICES.
3. Wireless Personal Area Networks.
Personal Area Networks for the Home.
PAN Technologies and Standards for the Home.
Protocols.
Mobile Software.
Jini.
Universal Plug and Play.
Ubiquitous Computing Research.
Challenges and Opportunities.
4. Merging Wired and Wireless Networks.
Asynchronous Transfer Mode.
Ethernet Networks.
Wired Multiplexors.
Signals.
Dense Wavelength Division Multiplexing (DWDM).
Switching.
Wireless Networks.
Concerns.
Crowded Airways.
Terrestrial Microwave.
Wireless Local Area Network.
Radio Based.
Medium Access Control.
Spread Spectrum Modulation.
Narrowband Modulation.
Wireless Local Bridges.
Infrared Light-based Wireless Local Area Networks.
Diffused Infrared-Based Wireless Local Area Networks.
Wireless Point-to-Point Networks.
IEEE 802.11 Standard.
Wireless Wide Area Networks.
Wireless Application Service Provider.
Network Integration.
Broadband Access.
MIT's Oxygen Project Network 21.
Challenges and Opportunities.
5. Merging Wireless Devices with the Web.
Second Generation Mobile Wireless Technologies.
Time Division Multiple Access.
Code Division Multiple Access.
Third-Generation Mobile Wireless Technologies.
Migration Strategies.
Wireless Streaming Video Technologies.
Technology Projections.
Wireless Handheld Devices.
The Internet.
Mobile Software.
Mobile IP.
The Wireless Internet.
Communications Between Client and Server.
Wireless Markup Language (WML).
Comparing Wireless Web Services.
Challenges and Opportunities.
6. Artificial Intelligence.
Artificial Intelligence Methods.
Knowledge Representation and Inference.
Expert Systems.
Learning, Neural Nets and Adaptation.
Neural Networks.
Adaptive Software.
Data Mining.
Agents.
Distributed Artificial Intelligence (DAI).
7. Merging Artificial Intelligence with the Web.
Extensible Markup Language Standards, Frameworks and Schema.
Web Services.
Comparing J2EE and .NET.
What is Web Intelligence?
How does the Web Learn?
Extensible Markup Language.
Resource Description Framework & Topical Map Convergence.
Logic Layer.
Self-Organizing Software and Adaptive Protocols.
Genetic Algorithms.
Where Does Web Intelligence Reside?
Intelligence.
Challenges and Opportunities.
8. Speech Synthesis and Translation.
Speech Synthesis Markup Language.
Translation.
Challenges and Opportunities.
9. Technological Revolution.
How Does the Information Revolution Save Time?
The Impact of IT Spending on Productivity.
Why Intelligent Wireless Devices Improve Productivity.
10. Progress in Developing the Intelligent Wireless Web.
User Interface—From Click to Speech.
Personal Space—From Wired to Wireless.
Networks—From Wired Infrastructure to Integrated Wired/Wireless.
Protocols—From IP to Mobile IP.
Web Architecture—Dumb & Static to Intelligent & Dynamic.
Strategic Planning Guidance.
Balancing Hardware and Software Innovation.
Balancing Proprietary and Open Standards.
Balancing Centralized and Distributed Web Architectures.
III. APPENDIXES.
Appendix A. Standards Organizations.
Appendix B. Mobile Protocol.
Appendix C. Graphs and the Web.
Appendix D. Dynamic Languages.
Appendix E. Wireless Security.
Appendix F. Visual Prolog.
Appendix G. Knowledge Management: Case Study of Convera's RetrievalWare.
Appendix H. List of Acronyms.
Glossary.
Bibliography.
Index.
L'auteur - Craig Smith
Craig Smith aide quelques-unes des plus grandes organisations mondiales à se sentir plus connectées, à retrouver leur charme et à rester plus agiles. Craig est le propriétaire de Flint Spark Consulting (www.flintspark.co.uk) . Il travaille tout autant avec le secteur public que le secteur privé afin d'aider ses clients à relever les défis auxquels ils font face en période de changement. Avant de fonder Flint Spark en 2007, Craig a travaillé pour PepsiCo pendant six ans au niveau du développement des rôles opérationnels et organisationnels.
Caractéristiques techniques
PAPIER | |
Éditeur(s) | Addison Wesley |
Auteur(s) | H. Peter Alesso, Craig Smith |
Parution | 05/02/2002 |
Nb. de pages | 350 |
Format | 18,6 x 23,5 |
Couverture | Relié |
Poids | 577g |
Intérieur | Noir et Blanc |
EAN13 | 9780201730630 |
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