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2010 2nd International Workshop on Intelligent Systems and Applications最新文献

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Mining Frequent Patterns from Software Defect Repositories for Black-Box Testing 从软件缺陷存储库中挖掘用于黑盒测试的频繁模式
Pub Date : 2010-05-22 DOI: 10.1109/IWISA.2010.5473578
Ning Li, Zhanhuai Li, Lijun Zhang
Software defects are usually detected by inspection,black-box testing or white-box testing. Current software defect mining work focuses on mining frequent patterns without distinguishing these different kinds of defects, and mining with respect to defect type can only give limited guidance on software development due to overly broad classification of defect type. In this paper, we present four kinds of frequent patterns from defects detected by black-box testing (called black-box defect) based on a kind of detailed classification named ODC-BD (Orthogonal Defect Classification for Blackbox Defect). The frequent patterns include the top 10 conditions (data or operation) which most easily result in defects or severe defects, the top 10 defect phenomena which most frequently occur and have a great impact on users, association rules between function modules and defect types. We aim to help project managers, black-box testers and developers improve the efficiency of software defect detection and analysis using these frequent patterns. Our study is based on 5023 defect reports from 56 large industrial projects and 2 open source projects.
软件缺陷通常通过检查、黑盒测试或白盒测试来检测。当前的软件缺陷挖掘工作关注于挖掘频繁的模式,而没有区分这些不同类型的缺陷,并且由于缺陷类型的分类过于宽泛,关于缺陷类型的挖掘只能对软件开发提供有限的指导。本文基于一种名为ODC-BD (Orthogonal defect classification for Blackbox defect)的详细分类方法,给出了黑盒测试中检测到的缺陷(称为黑盒缺陷)的四种常见模式。频繁模式包括最容易导致缺陷或严重缺陷的前10个条件(数据或操作)、最频繁发生且对用户影响最大的前10个缺陷现象、功能模块之间的关联规则和缺陷类型。我们的目标是帮助项目经理、黑盒测试人员和开发人员使用这些频繁的模式来提高软件缺陷检测和分析的效率。我们的研究是基于来自56个大型工业项目和2个开源项目的5023个缺陷报告。
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引用次数: 9
An Optimal Strategy of Fault-Tolerant Routing Based on Inhomogeneous Directional de Bruijn Graph 基于非齐次方向de Bruijn图的容错路由优化策略
Pub Date : 2010-05-22 DOI: 10.1109/IWISA.2010.5473314
Chuiwei Lu, Chao Gao, Honghua Wu, Zhao-hai Zhang, Junhua He
routing failure problem seriously declines the stability and working efficiency of P2P network. We find less routing failure are caused by malicious attacks, but most routing failure result from several reasons, such as high join/leave rate of nodes, inhomogeneous distribution of nodes, and performance deference among nodes. The paper proposed an improved de Bruijn graph, which own region aggregate and inhomogeneous characteristics, and well match the practical internet circumstance. We use the graph to descript the P2P network structure, which highly weaken the conditions that will lead to routing failure. Theoretic deduction implies that the strategy has many available merits, and can effectively deal with routing failure.
路由失效问题严重影响了P2P网络的稳定性和工作效率。我们发现,恶意攻击导致的路由失败较少,但大多数路由失败是由节点的高加入/离开率、节点的不均匀分布和节点之间的性能差异等原因造成的。本文提出了一种改进的de Bruijn图,该图具有区域聚集性和非同质性的特点,很好地符合实际的网络环境。我们使用图来描述P2P网络结构,这大大削弱了导致路由失败的条件。理论推导表明,该策略具有许多可用的优点,能够有效地处理路由故障。
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引用次数: 0
A Fabric Defect Detection System Based on Image Recognition 基于图像识别的织物疵点检测系统
Pub Date : 2010-05-22 DOI: 10.1109/IWISA.2010.5473549
Jingmiao Zhang, Xianzun Meng
It is a newer research hotspot using digital image recognition technology to solve the fabric defect in textile enterprises in recent years. Adopting image-recognition technology, through the fabric digital image preprocessing and recognition,measured the fabric defects, stored the related information in order to achieve fabric defect detection automatic, improved the efficiency of defect detection. Fabric defect detection system mainly included three parts: The first, the fabric image acquisition, pre-processing part. The second, the identifier, measurement and storage defect of fabric defect. The third, control mechanism automatically accomplished defect location and identifier. Simulation experiment analysis shows that the time consumption using in image processing algorithms can meet the real-time detection requirements.
利用数字图像识别技术解决纺织企业织物疵点是近年来较新的研究热点。采用图像识别技术,通过对织物数字图像进行预处理和识别,测量织物疵点,存储相关信息,实现织物疵点检测的自动化,提高了疵点检测的效率。织物疵点检测系统主要包括三个部分:第一,织物图像采集、预处理部分。二是织物疵点的识别、测量和保管。控制机制自动完成缺陷定位和识别。仿真实验分析表明,图像处理算法所使用的时间能够满足实时检测的要求。
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引用次数: 3
Field Emission Property Studies and Fabrication of Diode FED with Improved Cold-Cathode Emitter 改进冷阴极发射极二极管场发射特性研究及制备
Pub Date : 2010-05-22 DOI: 10.1109/IWISA.2010.5473504
Yu-kui Li, W. Xing, Baoning Gao
Using the soda-lime glass as substrate, the improved printed cold-cathode emitters were prepared for the field emission display device. The indium-tin-oxide film over the substrate surface was divided into discrete indium-tin-oxide stripes. With the screen-printing process, the two parallel silver electrodes were fabricated on one indium-tin-oxide stripes and the carbon nanotube was prepared over the silver electrode surface. It was found that the carbon nanotube on the edge of cathode electrode would emit more electrons. For preventing the damage of carbon nanotube cathode, the previous silver slurry baking process was adopted. Then, the baked silver slurry layer and the printed carbon nanotube pastes would be simultaneous sintered. The detailed fabrication and vacuum-packaging process for the whole display device were also given. The fully-sealed display device possessed better field emission property and high display brightness for the green phosphor, whose fabrication process was simple and low-cost.
以钠石灰玻璃为衬底,制备了用于场发射显示器件的改进印刷冷阴极发射体。衬底表面的氧化铟锡薄膜被划分成离散的氧化铟锡条纹。采用丝网印刷工艺,在一个氧化铟锡条纹上制备了两个平行的银电极,并在银电极表面制备了碳纳米管。研究发现,在阴极电极边缘的碳纳米管会发射出更多的电子。为了防止碳纳米管阴极的损坏,采用了原有的银浆焙烧工艺。然后,将焙烧后的银浆层与打印出来的碳纳米管糊体同时烧结。给出了整个显示器件的详细制作和真空封装工艺。该全密封显示器件对绿色荧光粉具有较好的场发射性能和较高的显示亮度,制作工艺简单,成本低。
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引用次数: 0
Parametric Pattern-Making Modeling Based on Constraint and Graph 基于约束和图的参数化制版建模
Pub Date : 2010-05-22 DOI: 10.1109/IWISA.2010.5473466
Yi Xiu, Zhen-kai Wan, Wenlu Cao
Parametric pattern-making technology has based on procedural process for past decades in the field of GCAD. This paper presents a new method of parametric pattern-making technology. This method firstly finds out the constraint relations among geometric entities by analyzing the rules and sequences of geometric entities in pattern-making operation and confirms the local and whole well-constraint in pattern with geometric constraint principle, secondly represents the geometric constraints in pattern as a constraint graph and depicts the data structure of constraint graph with adjacent table, finally builds a parametric pattern-making model. The solving algorithm of the model implements the entity-edited and size-driven function. The experiments show the model is feasible and effective.
在过去几十年的GCAD领域中,参数化制图技术是基于程序过程的。提出了一种新的参数化制模技术。该方法首先通过分析几何实体在图案制作过程中的规则和顺序,找出几何实体之间的约束关系,利用几何约束原理确定图案中的局部井约束和整体井约束,然后将图案中的几何约束表示为约束图,并用邻接表描述约束图的数据结构,最后建立参数化的图案制作模型。模型求解算法实现了实体编辑和尺寸驱动功能。实验证明了该模型的可行性和有效性。
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引用次数: 2
Image Registration by Curvature Shape Representation and Genetic Algorithm 曲率形状表示与遗传算法的图像配准
Pub Date : 2010-05-22 DOI: 10.1109/IWISA.2010.5473457
Xiang Zhang, Changjiang Zhang
A new feature point extraction method for the image feature point matching is proposed. The proposed method is based on the corner detection method with curvature scale space (CSS). This method can accurately extract the image corner points in different positions and directions. In order to accurately match the corner points of two images, an overall restricted condition, which combines angle difference, gray level difference, relative distance and normalized correlation coefficient of the two matched corner points, is used to improve the matching accuracy. Finally, genetic algorithm is used to obtain the optimal registration parameters. The optimal registration parameters are used to accurately match the two images. The experimental results show that the proposed method can accurately match the images and better than traditional image registration method.
针对图像特征点匹配问题,提出了一种新的特征点提取方法。该方法基于曲率尺度空间(CSS)的角点检测方法。该方法可以准确提取不同位置和方向的图像角点。为了精确匹配两幅图像的角点,采用一种综合了两个匹配角点的角度差、灰度差、相对距离和归一化相关系数的整体限制条件来提高匹配精度。最后,采用遗传算法获得最优配准参数。利用最优配准参数对两幅图像进行精确匹配。实验结果表明,该方法能准确匹配图像,优于传统的图像配准方法。
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引用次数: 0
Residual-Balanced Spanning Tree Problem of Topology-Aware ALM 拓扑感知ALM的残差平衡生成树问题
Pub Date : 2010-05-22 DOI: 10.1109/IWISA.2010.5473348
Jianqun Cui, Keming Jia, Libing Wu
Topology-aware application layer multicast takes the real underlying physical network connections into consideration while constructing multicast tree. The aim is to shorten end-to-end data forwarding delay, but it may lead to some end systems with high bandwidth close to the source node need to provide data forwarding service for many sub-nodes, and finally become the bottleneck of the multicast tree. To balance the requirement mentioned above, we propose a more comprehensive problem model MDDLRB (Minimum Delay, Degree-Limited Residual-Balanced) to construct application layer multicast spanning tree. Furthermore, to solve the MDDLRB problem, we present a heuristic algorithm based on delay increment and equilibrium optimization strategy. The simulation results show that the algorithm can get a better system performance.
拓扑感知应用层组播在构造组播树时考虑了底层物理网络的真实连接。目的是为了缩短端到端的数据转发延迟,但这可能导致一些靠近源节点的高带宽端系统需要为许多子节点提供数据转发服务,最终成为组播树的瓶颈。为了平衡上述需求,我们提出了一个更全面的问题模型MDDLRB (Minimum Delay, Degree-Limited Residual-Balanced)来构建应用层组播生成树。针对MDDLRB问题,提出了一种基于延迟增量和均衡优化策略的启发式算法。仿真结果表明,该算法能获得较好的系统性能。
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引用次数: 0
Research on Ship Spare Parts Inventory Based on Selective Maintenance 基于选择性维修的船舶备件库存研究
Pub Date : 2010-05-22 DOI: 10.1109/IWISA.2010.5473709
Bin Zhou, Shi-dong Fan, Da Li
According to selective maintenance theory, this paper attempts to discuss the ship spare parts inventory based on different maintenance models to minimize cost of the spare parts in the context of safe operation of the ship. For the equipment which adopts corrective maintenance, a multi-period stochastic storage model strategy is applied to solve the optimal inventory. Then, this paper take a certain time, periodic interval and lead time into account to obtain the best inventory for the equipments of periodical maintenance. The last, the grey prediction method is utilized to the equipment of condition-based maintenance in order to solve the best inventory.
本文试图根据选择性维修理论,在船舶安全运行的前提下,探讨基于不同维修模式的船舶备件库存问题,以使备件成本最小化。对于采用纠错维修的设备,采用多周期随机存储模型策略求解最优库存问题。然后,考虑一定的时间、周期间隔和交货期,得到周期维修设备的最佳库存。最后,将灰色预测方法应用到状态维修设备中,求解出最优库存。
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引用次数: 1
System Dynamics of Chronic Hepatitis B - Modeling the Virus and Immune System of Chronic Hepatitis B 慢性乙型肝炎的系统动力学——模拟慢性乙型肝炎病毒和免疫系统
Pub Date : 2010-05-22 DOI: 10.1109/IWISA.2010.5473320
Changjiang Long, Huan Qi, Wan Peng
The pathogenesis of chronic hepatitis B is very complex, Systems biology can help us understand it by considering the body, virus and immune system as a whole. Mathematical model including HBV, hepatocytes and the immune system was established in this paper describing the interaction of virus and immune system. The model considered not only the side that hepatitis B virus can evoke the immune system, but also the other side that hepatitis B virus can suppress the immune function by leading a high death rate of hepatitis B virus-specific Cytotoxic T lymphocytes (CTLs). The condition why the immune system fails to eliminate the virus is explained by an inequality. Four kinds of chronic hepatitis, including acute-turn-chronic hepatitis, chronic hepatitis without acute phase, recurring hepatitis and chronic hepatitis (infected at birth) were simulated to show the natural history of chronic hepatitis.
慢性乙型肝炎的发病机制非常复杂,系统生物学可以帮助我们从机体、病毒和免疫系统的整体角度来理解它。本文建立了包括HBV、肝细胞和免疫系统在内的数学模型,描述了病毒与免疫系统的相互作用。该模型不仅考虑了乙型肝炎病毒激活免疫系统的一面,也考虑了乙型肝炎病毒通过导致乙型肝炎病毒特异性细胞毒性T淋巴细胞(ctl)的高死亡率而抑制免疫功能的另一面。免疫系统不能消灭病毒的原因可以用一个不等式来解释。模拟急性转慢性肝炎、无急性期慢性肝炎、复发性肝炎和出生时感染的慢性肝炎4种慢性肝炎的自然病程。
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引用次数: 0
The Synthetic Assessment Modeling of Ships' Oil Spill Risk Based on Fuzzy Neural Network 基于模糊神经网络的船舶溢油风险综合评价模型
Pub Date : 2010-05-22 DOI: 10.1109/IWISA.2010.5473392
Xin Cao, Shi-dong Fan
The paper firstly emphasizes the importance of synthetic risk assessment of ships' oil spill risk and then puts forwards that neglecting environmental hazards and management deficiencies is the congenital defect of current research. The paper builds assessment model of ships′ oil spill risk based on fuzzy neural network which relates to two emphases, namely, index system and coupling assessment model. The relevant maritime data is inputted into the network, and by training, the structure and parameters of network are optimized, so we can achieve effective safety evaluation.
本文首先强调了船舶溢油风险综合风险评估的重要性,然后提出忽视环境危害和管理缺陷是目前研究的先天缺陷。本文建立了船舶评估模型;基于模糊神经网络的溢油风险研究涉及两个重点,即指标体系和耦合评价模型。将相关海事数据输入到网络中,通过训练对网络的结构和参数进行优化,从而实现有效的安全评价。
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引用次数: 3
期刊
2010 2nd International Workshop on Intelligent Systems and Applications
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