基于Radon小波低分辨率的织物疵点检测算法

针对纺织过程中可能出现的瑕疵问题,提出了一种新的织物疵点分割方法--四分法和织物疵点特征提取方法--Radon小波低分辨率特征(RWLRC)。该算法先将织物图像经过Gabor滤波器预处理,再将预处理之后的织物图像等分成四部分,通过4部分的最大值与最小值确定阈值并分割。将疵点形状的二值图像进行Radon变换并得到特征曲线,应用Mallat塔式分解算法进行特征降维,最后由神经网络进行状态识别和特征分类。实验结果表明,四分法无需与正常织物对照分割,具有自适应性,Radon小波低分辨率特征的特征值只有3维,具有特征维数低、疵点形状描述准确等特点,所提方法可以有效检测与识别缺纬、缺经、油污、漏洞等常见疵点。     

基于BP神经网络的帘子布疵点分类器的设计

该文给出了一种基于BP神经网络的帘子布疵点识别方法。该方法首先讨论了LBP算子原理,然后对帘子布样本图像进行LBP运算,得到对应LBP值的归一化直方图,再通过这些LBP直方图对BP神经网络进行训练,最后采用已训练的BP神经网络进行帘子布疵点识别。实验结果证明,该方法可准确识别出帘子布浆斑、稀经、粘并、断经和劈缝等疵点。     

基于频域分析的毛巾织物疵点检测

本文针对毛巾织物的疵点检测进行研究。通过研究分析发现,大部分毛巾织物的疵点主要集中在毛巾表面的毛圈特征上。本文根据疵点和毛圈轮廓特征的频谱特性进行疵点检测,提出了基于频域分析的毛巾织物图像疵点检测算法。以毛巾织物图像频谱的能量统计特性作为疵点检测的特征向量,采用了支持向量机(SVM)作为疵点分类识别算法。matlab仿真实验表明,可以达到平均95%的毛巾织物疵点识别率,说明该频域能量特征提取方法在对纯色毛巾织物的疵点检测上简单有效。     

Gabor小波变换在帘子布疵点检测中的应用

给出一种基于多通道Gabor滤波器技术实现高速实时帘子布疵点捡测方法。在多尺度多方向上分别对具有规则纹理结构的织物图像进行Gabor滤波,并对滤波后的多幅子图像进行融合分割处理,将疵点从织物背景中分割出来,从而实现对织物疵点的实时检测。该方法用于帘子布的缺陷检测,具有识别能力强,实时性好等优点。可以用于检测有规则纹理结构的表面及物体。     

基于纹理周期性分析的织物疵点检测方法

根据织物图像纹理自身特点,从图像纹理的周期性这个重要的视觉特征入手,提出了基于纹理周期性分析的织物疵点检测方法。通过对大量不同疵点图像检测实验,证明提出方法对织物疵点检测具有较好的有效性和可靠性,而且具有检测的疵点种类多、实用性好的特点。     

基于视觉感知机制的织物疵点轮廓检测

针对传统人工织物疵点检测存在的误检及低效等问题,提出了一种基于视觉感知机制的自适应织物疵点轮廓检测方法.首先,模拟视觉系统中视网膜感受野对视觉信息的处理机制对织物疵点图像进行滤波及疵点增强;其次,依据初级视皮层(V1)区对视觉信息响应的方向选择性机制构建织物疵点图像边缘检测模型,实现对织物疵点图像的边缘检测.最后,采用自适应阈值选择的方法对检测到的边缘进行二次处理,获得织物图像疵点的轮廓.为验证本文方法的有效性和准确性,对4类织物疵点图像进行测试,并定性和定量两方面进行比较分析,结果表明文中提出的方法能够较好地检测出织物疵点轮廓信息,不仅可以得到质量较高的织物疵点轮廓图像,而且在整个检测过程中能够自适应的选择参数,避免受人的主观因素影响,具有实际的应用价值.     

基于Gabor小波变换的帘子布疵点检测研究

Gabor小波变换已经成功地应用到各种机器视觉实例中,如纹理分割、边缘检测等。给出了一种基于多通道Gabor滤波器技术实现高速实时帘子布疵点检测方法。在多尺度多方向上分别对具有规则纹理结构的织物图像进行Gabor滤波,并对滤波后的多幅子图像进行融合分割处理,将疵点从织物背景中分割出来,从而实现对织物疵点的实时检测。该方法用于帘子布的缺陷检测,具有识别能力强、实时性好等优点,实验结果证明该方法是有效可行的。这种方法也可以用于检测有规则纹理结构的表面及物体。     

基于自适应LBP和SVM的织物疵点检测算法

为准确提取不同种类织物纹理的特征,提出一种新的纹理特征描述方法——自适应局部二值模式(ALBP)。该方法为不同纹理结构创建相应的主要概率模式子集,避免了均匀局部二值模式(ULBP)使用同一模式集描述不同纹理而导致的描述不准确问题。在该算法基础上构建一种基于支持向量机(SVM)的织物疵点检测算法,将疵点检测问题转化为分类问题。实验结果证明,该算法不仅保持了传统局部二值模式(LBP)的旋转不变、多分辨率等特点,而且疵点检测结果在视觉上更加清晰、误检率更低、适用范围更广,SVM的优秀分类性能也有效地提高了疵点检测的准确率。     

基于轮廓波变换的织物疵点图像消噪新方法

为了实现织物疵点图像的有效消噪,使其更有利于特征提取和疵点检测,提出了基于轮廓波变换的织物疵点图像消噪新方法。综合考虑轮廓波方向子带能量的大小与织物疵点图像轮廓细节之间的关系,对Donoho多尺度分解阈值进行修正,改进了Donoho多尺度分解阈值对图像细节"过扼杀"的缺点。实验结果表明,对织物疵点图像进行基于轮廓波变换改进阈值消噪时,该方法更好地保留了织物疵点图像的轮廓细节,峰值信噪比显著提高。采用改进的轮廓波Donoho多尺度分解阈值消噪后的图像,可以更好地应用于织物疵点图像的特征提取和疵点识别。     

基于Gabor滤波器组的织物疵点检测方法

给出了基于Gabor滤波器组的织物疵点检测方法。在分析Gabor滤波器时频特性的基础上,针对素色坯布织物疵点图像,设计了椭圆形多尺度多方向的Gabor滤波器组,并应用该滤波器组在频域对织物疵点图像进行滤波处理,对滤波后的多幅图像进行融合与分割处理,将疵点从织物背景中分割出来,从而实现了疵点的检测。实验结果证明了该方法的有效性。     

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)

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