基本信息 书名:智能影子:普适计算模型与方法 定价:66元 作者:吴朝晖,潘刚 著 出版社:浙江大学出版社 出版日期:2013-04-01 ISBN:9787308097994 字数:264000 页码:130 版次:1 装帧:精装 开本:16开 商品重量: 编辑推荐 普适计算是一种在计算高度泛化的背景下兴起的全新计算模式。本书重点描述一种新型的普适计算理论:智能影子模型及其方法。智能影子是一个以人为中心的高度变化的虚拟个性化智能空间,像用户的影子一样跟随着用户,实现环境自适应与用户自适应的普适服务。主要包括智能影子模型、智能影子中的任务迁移、智能影子中的情境感知机制、智能影子中的文件建模方法、支持智能影子的软件平台、智能影子在智能汽车中的应用等。 内容提要 SmartShadow: Models and Methods for Pervasive Computing offers a new perspective opervasive 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 humabeings' shadows ithe physical world, it follows people wherever they go, providing them with pervasive services. The model, methods, and software infrastructure for SmartShadow are presented and aapplicatiofor smart cars is also introduced. The book caserve as a valuable reference work for researchers and graduate students ithe field of pervasive/ubiquitous computing.Zhaohui Wu is a Professor at Zhejiang University, Hangzhou, China.Gang Pais a Professor at the same institute. 目录 1 SmartShadow Model1.1 Introduction1.2 SmartShadow: AOverview1.2.1 PersonalityShadow: Model of People's Life1.2.2 ServiceShadow: User-Centered Virtual Space1.3 Semantics iSmartShadow1.3.1 Basic Concepts1.3.2 Models and Systems iPervasive Computing1.3.3 Semantic Issues iSmartShadow1.4 Modeling HumaPersonalities1.4.1 Low-Level Personal Information1.4.2 Mid-Level Personal Information1.4.3 High-Level Personal Information: BDP Model1.5 Modeling Computing Environments1.6 Planning for a Virtual Service Space: ServiceShadow1.7 ConclusionReferences2 Task MigratioiSmartShadow2.1 Introduction2.2 Related Work2.3 Task MigratioChallenges2.3.1 Scenario: Watching Movie2.4 Task Model iSmartShadow2.4.1 Modeling Task Process2.4.2 Describing a Primitive Task2.5 Context-Aware Task-to-Service Mapping2.5.1 Semantic Service Filtering2.5.2 SatisfactioMeasurement for Task-Oriented Matching2.5.3 Task-to-Service Mapping Algorithm2.6 TaskShadow: AOSGi-Based Implementation2.7 Evaluation2.7.1 Performance of Task-to-Service Mapping2.7.2 Time Cost for Task Migratioof "Watch Movie".2.8 ConclusionReferences3 Context-Awareness iSmartShadow3.1 Introduction3.2 Hierarchical Context Model3.2.1 Context Atom Layer3.2.2 Context SituatioLayer3.3 ScudContext: Large-Scale Environmental Context Services3.3.1 Context Management3.3.2 The ScudContext Infrastructure3.4 ScudCORE: Context-DriveReasoning Engine3.4.1 Context-DriveReasoning iPervasive Computing3.4.2 ScudCORE Architecture3.4.3 Context-DriveMechanism3.5 ConclusionReferences4 File Modeling iSmartShadow4.1 Introduction4.2 Related Work4.3 Modeling Files with Context Streams4.3.1 Context Stream: Dynamics of Contexts4.3.2 Modeling Files with Context Stream4.4 ScudFile: A Meta File System with Context Streams4.4.1 Architecture of the ScudFile4.4.2 AMS-Windows-Based Implementation4.5 Applications4.5.1 File Browsing with Context Stream4.5.2 File Searching with Context Stream4.5.3 File Recommending with Context Stream4.6 Evaluation4.6.1 Time Cost4.6.2 Usability Test4.7 ConclusionReferences5 SeudWare: Software Infrastructure for SmartShadow5.1 Introduction5.2 ScudWare Architecture5.3 Semantic Virtual Agents5.3.1 SVA Definition5.3.2 SIP Definition5.4 Semantic Context Management Service5.4.1 Semantic View for Context5.4.2 Ontology of SmartShadow Space5.4.3 Semantic Context Service Functional Modules5.5 Adaptive Component Management Service5.5.1 Resource Abstract5.5.2 ACMS Functionality5.5.3 Component Interdependence Graph5.5.4 Run-Time Component Hook Proxy5.6 ConclusionReferences6 Smart Car Space: AApplication6.1 Introduction6.2 Smart Car Space: A Framework6.3 Context Modeling iSmart Car Space6.3.1 Context Atoms6.3.2 Complex Context6.4 Driver Behavior Modeling iSmart Car Space6.4.1 Comfortable and Safe Driver Behavior Model of Car-Following6.4.2 Multitasking Driver Behavior Model for Smart Car Space6.5 Prototype6.5.1 Network Infrastructure6.5.2 Software Infrastructure6.5.3 In-Car Space6.5.4 Services of Smart Car Space6.6 ConclusionReferencesIndex 作者介绍
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