基于情感学习本体的教学反馈策略生成算法的研究

研究如何采用本体建模的方法解决智能教学系统中的情感理解与情感反馈的问题。构建了一个情感学习本体用于描述在学习过程中出现的与情感相关的概念及概念之间的关系,设计了基于该本体的教学反馈策略的生成算法,可以在不需要和学生进行问答交互的情况下获得学生学习过程的感知和理解状态,可以更好地理解学生的学习状态以提供更好的基于"情感触发"的认知和情感支持。并将情感学习本体和一个C语言程序设计领域知识本体以及反馈策略生成算法应用到一个以教学视频为主体学习资料的智能教学系统中。应用实例表明,该教学反馈策略生成算法能对学习者提供有效的认知反馈和情感反馈。     

知识表示及企业本体建模研究

在企业建模领域引入本体思想,介绍了企业本体的概念、作用和意义,然后阐述了企业知识表示和组织策略。最后通过一个实例给出了本体建模的详细步骤和方法体系。基于本体的企业建模从根本上解决了企业的知识共享和重用问题。     

基于FCA的对象与属性交叉渐进的情感本体学习

提出了一种基于形式概念分析的渐进式情感本体学习的算法。该算法通过动态交叉添加对象和属性来生成概念格,从而从概念格当中抽取情感本体,最终实现情感本体的学习过程。给出了算法的描述,并结合实例说明了本体学习过程。     

满足情感蚁群的服务组合优化方法

在服务计算模式下,通过引入情感来改进服务组合效率。首先,建立一种满足行为分析的情感感知空间,并定义认知来推理情感变化情况,使情感与认知能有效的映射。同时,定义了情感衰减和更新机制来保持情感变化稳定性。其次,将所建立的情感机制引入蚁群算法中,形成一种满足情感变化的蚁群算法,并将该算法应用到服务组合中实现优化。最后在Web服务建模本体(WSMO)下提供的VTA中实验表明,该方法有效且可行。     

本体化可信完整性度量策略匹配模型

通过对可信网络接入完整性度量的分析,结合本体的思想,建立了一个基于本体的可信网络完整性度量模型。该模型对终端接入可信网络的完整性参数进行本体化建模,确定对象关联规则,通过基于免疫的本体匹配算法实现了完整性度量策略的自适应选择分发。分析结果表明,该算法能够有效地对完整性度量参数进行策略的优化匹配。该模型的提出为可信网络下完整性度量的策略授权分发提供了一个新的研究思路     

融合认知行为模型的深度强化学习框架及算法

面对高维连续状态空间或稀疏奖励等复杂任务时,仅依靠深度强化学习算法从零学习最优策略十分困难,如何将已有知识表示为人与学习型智能体之间相互可理解的形式,并有效地加速策略收敛仍是一个难题.对此,提出一种融合认知行为模型的深度强化学习框架,将领域内先验知识建模为基于信念-愿望-意图(belief- desire-intention, BDI)的认知行为模型,用于引导智能体策略学习.基于此框架,分别提出融合认知行为模型的深度Q学习算法和近端策略优化算法,并定量化设计认知行为模型对智能体策略更新的引导方式.最后,通过典型gym环境和空战机动决策对抗环境,验证所提出算法可以高效利用认知行为模型加速策略学习,有效缓解状态空间巨大和环境奖励稀疏的影响.     

融合改进强化学习的认知无线电抗干扰决策算法

针对认知无线电环境中认知用户易受到干扰的问题,研究了具有跳频功能的认知用户与智能感知功能的干扰器之间的相互作用。为了充分利用无线电频谱资源,在综合考虑信道选择和功率分配的基础上,设计了以认知用户的频谱能效性能为参考标准的效用函数,并将改进强化学习算法融入认知学习决策引擎中。决策算法通过将认知环境与决策引擎的交互建模为强化学习中环境与智能体的交互,探索最大的动作奖励反馈给认知决策引擎,在交互过程中得到自适应的优化策略选择。仿真结果表明,提出的算法能够较快速地收敛,选择的策略能够有效地优化认知用户在干扰情况下的性能,比随机策略的性能提高50%以上。     

一种综合可计算情感建模方法

情感作为人类具有智能的一个重要体现,是创建可信服的虚拟智能体不可或缺的环节.如何通过情感来提高虚拟智能体的智能性和可信服性已成为亟待解决的关键问题.结合生理和认知对情感的影响,提出了一种综合的可计算情感建模方法;设计了一个完全的过程框架,以描述情感在不同时刻如何动态变化以及如何处理多种混合情感的情况;并建立了基于具体描述事件和情感关系的情感结构,以产生具体、真实的情感行为;提出了交互学习机制以增强虚拟智能体对动态环境的适应能力.实例验证表明,此情感模型能有效地增加虚拟智能体在交互过程中的可信服性.     

一种基于情境的语义Web服务发现方法

在普适计算环境下,如何结合情境信息以发现满足用户需求的服务,是目前Web服务研究的一个关键问题.提出一种基于情境的Web服务发现框架,采用本体进行情境建模,利用用户反馈信息进行权重计算,并给出了一个基于相似度的语义Web服务的匹配算法.最后通过实验验证了该方法的有效性.     

产品的相似性推理:一种描述逻辑的方法

采用产品本体理论对设计进行本体标注，得到对应产品设计的形式化概念，在此基础上通过本体的推理——基于描述逻辑的知识推理，对产品进行分类．文中分别就设计的相似性和基于实例的设计中实例间的相似性推理提出了明确的算法，并通过实例进行了说明．     

Call for Papers The 6^th International Conference on Grid and Cooperative Computing

Recent years have seen rapid advances in various grid-related technologies, middleware, and applications. The GCC conference has become one of the largest scientific events worldwide in grid and cooperative computing. The 6th international conference on grid and cooperative computing (GCC2007) Sponsored by China Computer Federation (CCF),Institute of Computing Technology, Chinese Academy of Sciences (ICT) and Xinjiang University ,and in Cooperation with IEEE Computer Soceity ,is to be held from August 16 to 18, 2007 in Urumchi, Xinjiang, China.     

煤矿井下安全监控分站的设计及其仿真实现

为了设计一种具有低成本、低功耗、易操作、功能强且可靠性高的煤矿井下安全分站,针对煤矿安全生产实际,文章提出了采用MCS-51系列单片机为核心、具有CAN总线通信接口的煤矿井下安全监控分站的设计方案;首先给出煤矿井下安全监控分站的整体构架设计,然后着重阐述模拟量输入信号处理系统的设计过程,最后说明单片机最小系统及其键盘、显示、报警、通信等各个组成部分的设计;为验证设计方案的可行性与有效性,使用Proteus软件对设计内容进行仿真验证,设计的煤矿井下安全监控分站具有瓦斯、温度等模拟量参数超标报警功能和电机开停、风门开闭等开关量指示功能;仿真结果表明:设计的煤矿井下安全监控分站具有一定的实际应用价值.     

法律信息库系统

本文分析了法律数据库的结构和特点，介绍了采用面向对象设计方法和超文本数据库技术开发和实现法律信息库系统将作为重要网络资源之一为不同用户进行法律咨询服务。     

View-based model-driven architecture for enhancing maintainability of data access services

In modern service-oriented architectures, database access is done by a special type of services, the so-called data access services (DAS). Though, particularly in data-intensive applications, using and developing DAS are very common today, the link between the DAS and their implementation, e.g. a layer of data access objects (DAOs) encapsulating the database queries, still is not sufficiently elaborated, yet. As a result, as the number of DAS grows, finding the desired DAS for reuse and/or associated documentation can become an impossible task. In this paper we focus on bridging this gap between the DAS and their implementation by presenting a view-based, model-driven data access architecture (VMDA) managing models of the DAS, DAOs and database queries in a queryable manner. Our models support tailored views of different stakeholders and are scalable with all types of DAS implementations. In this paper we show that our view-based and model driven architecture approach can enhance software development productivity and maintainability by improving DAS documentation. Moreover, our VMDA opens a wide range of applications such as evaluating DAS usage for DAS performance optimization. Furthermore, we provide tool support and illustrate the applicability of our VMDA in a large-scale case study. Finally, we quantitatively prove that our approach performs with acceptable response times.     

International Journal of Automation and Computing Table of Contents

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Information for authors

正SCIENCE CHINA Information Sciences(Sci China Inf Sci),cosponsored by the Chinese Academy of Sciences and the National Natural Science Foundation of China,and published by Science China Press,is committed to publishing highquality,original results of both basic and applied research in all areas of information sciences,including computer science and technology;systems science,control science and engineering(published in Issues with odd numbers);information and communication engineering;electronic science and technology(published in Issues with even numbers).Sci China Inf Sci is published monthly in both print and electronic forms.It is indexed by Academic OneFile,Astrophysics Data System(ADS),CSA,Cabells,Current Contents/Engineering,Computing and Technology,DBLP,Digital Mathematics Registry,Earthquake Engineering Abstracts,Engineering Index,Engineered Materials Abstracts,Gale,Google,INSPEC,Journal Citation Reports/Science Edition,Mathematical Reviews,OCLC,ProQuest,SCOPUS,Science Citation Index Expanded,Summon by Serial Solutions,VINITI,Zentralblatt MATH.     

Erratum to: Fast global kernel fuzzy c-means clustering algorithm for consonant/vowel segmentation of speech signal

正Erratum to:J Zhejiang Univ-Sci C(ComputElectron)2014 15(7):551-563doi:10.1631/jzus.C1300320The original version of this article unfortunately contained mistakes.Algorithm 6 should be as follows:Algorithm 6 FGKFCM-F clustering Input:(1)X={x_1,x_2,…,x_N},,x_iR~d,i=1,2,…,N,the dataset;(2)C,1C≤N,the number of clusters;(3)ε0,the stopping criterion;     

Journal of Zhejiang University-SCIENCE C (Computers & Electronics) Total contents

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A pragmatic multi-method investigation of discrepant technological events: Coping,attributions, and ‘accidental’ learning

Discrepant technological events or situations that entail a problem, a misunderstanding or a difficulty with the Information Technology (IT) being employed, are common in the workplace, and can lead to frustration and avoidance behaviors. Little is known, however, about how individuals cope with these events. This paper examines these events by using a multi-method pragmatic approach informed by coping theory. The results of two studies – a critical incident study and an experiment – serve to build and test, respectively, a theoretical model that posits that individuals use a variety of strategies when dealing with these events: they experience negative emotions, make external attributions, and adopt engagement coping strategies directed at solving the event, eventually switching to a disengagement coping strategy when they feel they have no control over the situation. Furthermore, users’ efforts may result in ‘accidental’ learning as they try to overcome the discrepant IT events through engagement coping. The paper ends with a discussion of the results in light of existing literature, future opportunities for research, and implications for practice.