《智能影子——普适计算模型与方法（英文版）》由吴朝晖、潘纲编著。
《智能影子——普适计算模型与方法（英文版）》内容简介： SmartShadow:
Models and Methods for Pervasive Computing offers a new perspective
on pervasive computing with SmartShadow, which is designed to model
a user as a personality "shadow" and to model pervasive computing
environments as user-centric dynamic virtual personal spaces. Just
like human beings'' shadows in the physical world, it follows people
wherever they go, providing them with pervasive services. The
model, methods, and software infrastructure for SmartShadow are
presented and an application for smart cars is also introduced. The
book can serve as a valuable reference work for researchers and
graduate students in the field of pervasiveubiquitous
computing.Zhaohui Wu is a Professor at Zhejiang University,
Hangzhou, China.Gang Pan is a Professor at the same institute.
目錄：
1 SmartShadow Model
1.1 Introduction
1.2 SmartShadow: An Overview
1.2.1 PersonalityShadow: Model of People''s
Life
1.2.2 ServiceShadow: User-Centered Virtual
Space
1.3 Semantics in SmartShadow
1.3.1 Basic Concepts
1.3.2 Models and Systems in Pervasive
Computing
1.3.3 Semantic Issues in SmartShadow
1.4 Modeling Human Personalities
1.4.1 Low-Level Personal Information
1.4.2 Mid-Level Personal Information
1.4.3 High-Level Personal Information: BDP
Model
1.5 Modeling Computing Environments
1.6 Planning for a Virtual Service Space:
ServiceShadow
1.7 Conclusion
References
2 Task Migration in SmartShadow
2.1 Introduction
2.2 Related Work
2.3 Task Migration Challenges
2.3.1 Scenario: Watching Movie
2.4 Task Model in SmartShadow
2.4.1 Modeling Task Process
2.4.2 Describing a Primitive Task
2.5 Context-Aware Task-to-Service Mapping
2.5.1 Semantic Service Filtering
2.5.2 Satisfaction Measurement for
Task-Oriented Matching
2.5.3 Task-to-Service Mapping
Algorithm
2.6 TaskShadow: An OSGi-Based Implementation
2.7 Evaluation
2.7.1 Performance of Task-to-Service
Mapping
2.7.2 Time Cost for Task Migration of
"Watch Movie".
2.8 Conclusion
References
3 Context-Awareness in SmartShadow
3.1 Introduction
3.2 Hierarchical Context Model
3.2.1 Context Atom Layer
3.2.2 Context Situation Layer
3.3 ScudContext: Large-Scale Environmental Context
Services
3.3.1 Context Management
3.3.2 The ScudContext Infrastructure
3.4 ScudCORE: Context-Driven Reasoning Engine
3.4.1 Context-Driven Reasoning in
Pervasive Computing
3.4.2 ScudCORE Architecture
3.4.3 Context-Driven Mechanism
3.5 Conclusion
References
4 File Modeling in SmartShadow
4.1 Introduction
4.2 Related Work
4.3 Modeling Files with Context Streams
4.3.1 Context Stream: Dynamics of
Contexts
4.3.2 Modeling Files with Context
Stream
4.4 ScudFile: A Meta File System with Context
Streams
4.4.1 Architecture of the ScudFile
4.4.2 An MS-Windows-Based
Implementation
4.5 Applications
4.5.1 File Browsing with Context
Stream
4.5.2 File Searching with Context
Stream
4.5.3 File Recommending with Context
Stream
4.6 Evaluation
4.6.1 Time Cost
4.6.2 Usability Test
4.7 Conclusion
References
5 SeudWare: Software Infrastructure for SmartShadow
5.1 Introduction
5.2 ScudWare Architecture
5.3 Semantic Virtual Agents
5.3.1 SVA Definition
5.3.2 SIP Definition
5.4 Semantic Context Management Service
5.4.1 Semantic View for Context
5.4.2 Ontology of SmartShadow Space
5.4.3 Semantic Context Service Functional
Modules
5.5 Adaptive Component Management Service
5.5.1 Resource Abstract
5.5.2 ACMS Functionality
5.5.3 Component Interdependence
Graph
5.5.4 Run-Time Component Hook Proxy
5.6 Conclusion
References
6 Smart Car Space: An Application
6.1 Introduction
6.2 Smart Car Space: A Framework
6.3 Context Modeling in Smart Car Space
6.3.1 Context Atoms
6.3.2 Complex Context
6.4 Driver Behavior Modeling in Smart Car Space
6.4.1 Comfortable and Safe Driver Behavior
Model of Car-Following
6.4.2 Multitasking Driver Behavior Model
for Smart Car Space
6.5 Prototype
6.5.1 Network Infrastructure
6.5.2 Software Infrastructure
6.5.3 In-Car Space
6.5.4 Services of Smart Car Space
6.6 Conclusion
References
Index
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