基于改进的边缘检测蚁群算法的大米轮廓检测

在蚁群算法的基础上针对大米轮廓检测提出了一种改进的边缘检测蚁群算法。该算法能有效地检测出米粒的边缘信息,解决了传统大米颗粒检测方法的不稳定和不精确等问题。与此同时,还将其结果与原蚁群算法、Roberts、Sobel和Prewitt等边缘检测算子对图像处理的结果进行了研究对比,实验结果表明,采用改进的边缘检测蚁群算法对大米粒形的检测效果较好,正确率较高,且具有适应性强、效率高等特点。     

混沌蚁群算法在图像边缘检测中的应用

运用混沌蚁群算法进行图像的边缘检测是针对混沌蚁群算法具有随机性、遍历性、正反馈性,通过更新信息素矩阵来计算图像阈值,从而获得图像边缘信息,能够更全面、迅速地找到图像的边缘,避免过早陷入局部最优,提高了图像边缘检测的连续性和准确性。计算机仿真实验表明,通过混沌蚁群算法获得的图像边缘更加完整和清晰,取得了较好的效果。     

结合Powell-RWACO的图像边缘提取算法*

针对蚁群算法在图像边缘提取中经常出现收敛速度慢、检测精度低、停滞等问题,提出一种结合Powell法的排序加权蚁群(Rank Weighted Ant Colony Optimization, RWACO)图像边缘提取算法。该算法将RWACO算法与Powell法相结合,利用RWACO算法进行全局优化,然后将全局最优值作为Powell法的初始点进行局部优化。实验结果表明,该算法兼顾了全局优化和局部优化的优点,与蚁群算法和Canny算法相比,明显提高了图像边缘精度,计算效率比蚁群算法提高了两倍多,并克服了其停滞等缺点,能够高效地检测出图像的边缘。从而验证了该算法的可行性,对今后的图像边缘检测具有参考价值。     

一种改进Otsu法在Kirsch边缘检测中的应用

针对灰度图像的Kirsch边缘检测特征不明显以及Otsu方法自动获取最佳阈值耗时等缺点,探讨了一种改进的Otsu法,并将其应用到Kirsch边缘检测中。首先通过Kirsch算法初步检测出图像边缘,然后运用蚁群算法与Otsu算法相结合求取最佳阈值并进行二值化处理。对试验结果和数据的分析,得出所提出的方法能够有效地检测出图像边缘,同时节约运算时间,具有一定的自适应性。     

基于免疫蚁群融合算法的机械臂目标图像边缘检测*

针对工业机械臂目标自识别所需的高效图像边缘检测要求,提出了一种基于免疫蚁群融合算法的图像边缘检测方法。该方法以信息素为基准,通过注射疫苗进行免疫选择从而优化启发信息,提高后续遍历效率并有效缩短检测时间。避免了蚁群在游历全图时可能产生的局部最优、收敛停滞等问题,从而得到符合机械臂自识别要求的图像处理结果,并能够较好地提高迭代遍历效率,缩短后续处理时间。仿真实验结果表明,该算法能够得到较好的边缘检测结果。     

基于K-均值改进蚁群优化的彩色图像边缘检测算法

为提高图像边缘检测的精度,提出一种基于K-均值改进蚁群优化（ACO）的彩色图像边缘检测算法。将聚类嵌入到边缘检测中,使这2类图像分割方法有效结合,增强了2类方法的优势。实验结果表明,该算法有效解决了传统蚁群算法（ACO）收敛较慢的问题,较好地保留了图像边缘细节,降低了计算复杂度,与典型分割方法相比具有更好的性能。     

一种带侦察子群蚁群算法的无线传感路由协议

针对无线传感器网络（WSNs）路由面临安全威胁和节点能量有限的不足,提出一种基于引入侦察子群的改进蚁群算法（SACO）路由协议。通过改进的蚁群算法构造一条数据传输链,选择其中能量最大节点为簇头,信息通过相邻节点传送。结果显示：该算法兼顾到节点的能量和路径消耗,较标准蚁群算法和贪婪算法具有高效的路由选择功能,能够使网络中节点能量消耗更加均衡,从而延长网络的使用寿命。     

基于改进蚁群算法的多态蠕虫特征提取

多态蠕虫特征提取是基于特征的入侵检测的难点,快速提取出精确程度更高的多态蠕虫特征对于有效防范蠕虫的快速传播有着重要的作用。针对层次式的多序列匹配(HMSA)算法进行多序列比对的时间效率较低和由迭代方法提取出的特征不够精确等问题,提出了基于改进蚁群算法的多态蠕虫特征提取方法antMSA。该方法首先对蚁群的搜索策略进行了相应的改进,并将改进后的蚁群算法引入到奖励相邻匹配的全局联配(CMENW)算法中,利用蚁群算法快速收敛能力,在全局范围内快速生成较好解,提取出多态蠕虫的特征片段;然后将其转化为标准入侵检测系统(IDS)规则,用于后期防御。实验表明,改进后的蚁群算法能够较好地克服基本蚁群算法的停滞现象,扩大搜索空间,能够有效提高特征提取的效率和质量,降低误报率。     

基于改进蚁群算法的图像边缘检测研究

传统的蚁群算法应用于图像边缘检测时,会出现边缘不够平滑、受噪声影响大、易收敛于局部等问题。为了提高边缘检测的效果,将灰度梯度与区域灰度均值方法相结合,确定蚂蚁的初始位置和启发矩阵;引入权重因子定义新的概率转移函数,并通过混沌算法和自适应参数进行信息素矩阵的更新,避免过早陷入局部最优。实验结果表明,改进的蚁群算法可以有效减少噪声对边缘检测的影响,并获得更加完整和清晰的图像边缘,取得较好的效果。     

基于二邻居图的无线传感器网络边缘检测算法

针对传统边缘检测算法未考虑边缘宽度的问题,提出了一种基于二邻居图的无线传感器网络边缘检测算法,通过调节节点通信半径得到合适的边缘宽度。该算法不需要任何节点位置信息,仅通过分析二邻居图的拓扑连通性来判断边缘节点。仿真结果表明,该算法能够准确检测出边缘节点,对于分布稀疏、节点密度较低的局部边缘同样适用,能够应用于无线传感器覆盖质量、连通性和能量管理等,有效延长了网络生命期。     

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.     

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.     

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.     

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.     

The Distributed Time-Triggered Simulation Scheme: Core Principles and Supporting Execution Engine

Distributed real-time simulation is a young technology field but its practice is under increasing demands. In recent years the author and his collaborators have been establishing a new approach called the distributed time-triggered simulation (DTS) scheme which is conceptually simple and easy to use but widely applicable. The concept was initiated in the course of developing a new-generation object-oriented real-time programming scheme called the time-triggered message-triggered object (TMO) programming scheme. Some fundamental issues inherent in distributed real-time simulation that were learned during recent experimental studies are discussed along with some approaches for resolving the issues. An execution engine developed to support both the TMOs engaged in control computation and the TMOs engaged in DTS is also discussed along with its possible extensions that will enable significantly larger-scale DTSs.     

Software-Konfigurationsmanagement in großen Softwareprojekten

Zusammenfassung Mit zunehmender Größe der Softwaresysteme verschärfen sich die für die Software-Herstellung typischen Probleme: Beherrschen großer Objektmengen, Erhalten der Systemkonsistenz, Kontrolle der ständigen Änderungseinflüsse und Gewährleisten einer langen Lebensdauer. Die Disziplin Konfigurationsmanagement bildet den methodischen Ansatz, diese Probleme besser zu beherrschen. Software-Konfigurationsmanagement faßt die Herstellung von Softwaresystemen als eine Abfolge von kontrollierten Änderungen an gesicherten Zwischen- und Endergebnissen auf. Dargestellt werden die Objekte und Funktionen des Software-Konfigurationsmanagements sowie die hierfür in großen Software-Projekten benötigten Methoden, Instanzen und Hilfsmittel.     

Information for Authors

正http://www.zju.edu.cn/jzus http://www.springerlink.com Aim The Journals of Zhejiang University-SCIENCE(A/B/C)are edited by the international board of distinguished Chinese and foreign scientists,and are aimed to present the latest developments and achievements in scientific research in China and     

Editorial:Brain-machine interface(BMI) and cyborg intelligence

正Brain-machine interfaces(BMIs)aim at building a direct communication pathway between the brain and an external device,and represent an area of research where significant progress has been made during the past decade.Based on BMIs,mind information can be read out by neural signals to control     

Information for Authors

正http://www.zju.edu.cn/jzus http://www.springerlink.com Aim The Journals of Zhejiang University-SCIENCE(A/B/C)are edited by the international board of distinguished Chinese and foreign scientists,and are aimed to present the latest developments and achievements in scientific research in China and overseas to the world’s scientific circles,especially to stimulate     

SCIENCE CHINA Information Sciences SUBJECT INDEX TO VOLUME 57(2014)

正~~