基于特征分析模型的瓦斯监测传感器优化布点

瓦斯监测网络设计的关健问题是确定最佳的监侧点位,最优的监测点位必须充分代表监测指标的时空分布和变化规律。以特征分析方法原理为基础,建立特征分析模型。并将其首次应用于瓦斯监测的优化布点中。优化结果客观明确,在理论基础上为瓦斯监测优化布点提供了一种新方法。实验研究表明：将特征分析方法应用于煤矿安全监测优化布点是可行的。     

基于时延的微通信元主机原型性能测试

介绍服务元网络体系结构（SUNA）和基于非层次网络体系结构的微通信元系统架构（MCES）。针对MCES主机原型进行有效测试,以进一步验证SUNA的可行性和有效性。讨论基于时延的MCES主机原型性能测试方法和过程。测试结果表明SUNA和MCES是可行的。     

基于均匀布点的混沌人口迁移算法及应用*

人口迁移算法是近几年提出的一种新的全局优化搜索算法。引入均匀布点和混沌搜索算法,对基本的人口迁移算法进行了改进,提出了基于均匀布点的混沌人口迁移算法,并应用于聚类分析。通过二维随机数据实验和Iris数据集实验,对改进算法的有效性进行了验证。结果表明,改进的人口迁移算法能有效地避免陷入局部最优,具有更强的寻优能力,而且收敛速度更快。     

一种改进的移动机器人轨迹跟踪迭代学习方法

通过对轮式移动机器人轨迹跟踪优化问题的研究,提出了一种适应性强、收敛速度快且跟踪误差小的迭代滤波学习控制方法,充分发挥了迭代学习控制和Kalman滤波算法的优势,通过引入状态补偿项和设计新的迭代学习增益矩阵对迭代学习律进行了改进。改进的迭代学习控制能够更快速、更精确、更有效地跟踪期望的圆轨迹。采用离散的Kalman滤波器对干扰和噪声进行滤波,抑制了干扰和噪声对轨迹跟踪的影响,使该控制算法更适合于工程应用。计算机实验和仿真表明该方法具有较好的轨迹跟踪能力。     

SVM参数优化的AFMC算法

支持向量机的参数选择仍未有系统的理论指导,其优化选择一直是支持向量机的一个重要研究方向。考虑到人工鱼群算法优化支持向量机参数往往易陷入最优参数组合微小邻域的问题,构造了用于支持向量机参数优化的AFMC算法。该算法前期利用鱼群算法较好的并行寻优性能,能快速寻得问题的近似最优解,而后利用MonteCarlo法进行局部寻优,以实现快速、有效地获取强近优解。数值实验结果表明,该算法具有较好的分类性能和较快的寻优速度,验证了在支持向量机参数寻优中的有效性和可行性。     

改进FastICA算法在振动筛复合故障诊断中的应用

针对常见故障特征提取方法不能完全、有效地提取复合故障特征的问题,提出了一种改进快速独立分量分析(FastICA)算法。该算法自适应选择不同的非线性函数进行渐进性分析,提取的数据特征较FastICA算法更准确。将改进FastICA算法应用于振动筛复合故障诊断中,仿真和实测结果表明,该算法可有效提取不同的故障特征,具有较高的分离精度。     

基于遗传算法的网格任务调度方法研究

网格任务调度是典型的 NP 完全问题,因此如何快速地找到全局最优解是网格任务调度的难点所在.而遗传算法在解优化问题上具有快速性和健壮性,因而遗传算法是解决复杂的非线性问题,特别是复杂环境下的资源调度的有效方法.文中先对网格任务调度进行建模,把资源分配抽象成染色体上的等位基因,然后采用遗传算法对生成的染色体进行杂交、变异进化模拟,并且利用相对适应度以及精英选择来提高算法的收敛性.仿真结果表明,该改进算法能更有效地解决网格任务调度问题     

基于融合算法的测试优化选择问题研究

测试优化选择是个集覆盖问题,而启发式算法是求解集覆盖问题的有效方法。文中将遗传算法、BP神经网络和模拟退火算法进行融合,提出了一种融合算法,该算法充分利用遗传算法全局搜索能力强、BP神经网络训练能力强和模拟退火算法搜索速度快的优点,既避免陷入局部最优的现象,又提高了搜索的效率和精度。该算法已应用于求解测试优化问题。实例证明,该算法能够快速有效地求得测试优化问题的最优解。     

入侵检测中的快速特征选择方法

进行入侵检测前必须分析输入数据的特征。使用粒子群优化算法对特征进行选择,消除冗余属性、降低问题规模、提高数据分类质量、加快数据处理速度。用二进制字符串序列表示粒子位置,阐述位置和速度的更新策略以及适应度函数的选择。在KDD CUP1999数据集上进行实验,结果表明与遗传进化算法相比,该方法可以更有效地精简特征,提高分类质量。     

一种基于记忆克隆选择的多目标免疫算法

借鉴生物免疫原理中克隆选择机理,设计了一种基于记忆克隆选择的多目标免疫算法。该算法构建了一种亲和度的快速计算方法,并在抗体种群全局搜索Pareto解的同时,也在记忆单元进行局部搜索,有效地提高了搜索效率和收敛性。选取了六种典型的多目标优化函数进行算法仿真测试研究,并与经典的多目标进化算法NSGA-II进行了比较。仿真研究结果证明了新算法在保证种群分布度的同时,拥有比NSGA-II更好的收敛性和速度。     

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.