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2009 Fourth International Conference on Internet Computing for Science and Engineering最新文献

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A Clustering Algorithm Based on Grid Partition of Space-Filling Curve 基于空间填充曲线网格划分的聚类算法
Hongbo Xu, Zhongxiao Hao, Qi-long Han
In spatial data mining, clustering is one of useful techniques for discovering interesting data in the underlying data objects. The k-means algorithm is probably the most widely applied clustering method. But a major drawback of k-means algorithm is that it is difficult to determine the parameter k to represent natural cluster, and it is only suitable for concave spherical clusters. Therefore, the paper presents an efficient clustering algorithm for large spatial databases. It combines the hierarchical approach with the grid partition. The hierarchical approach is applied to find the genuine clusters by repeatedly combining together these blocks. Hilbert curve is a continuous path which passes through every point in a space once to form a one-one correspondence between the coordinates of the points and the one-dimensional sequence numbers of the points on the curve. The goal of using Hilbert curve is to preserve the distance of that points which are close in space and represent similar data should be stored close together in the linear order. This kind of mapping also can minimize the disk access effort and provide high speed for clustering. The simulation shows that the clustering algorithm can have shorter execution time than k-means algorithms for the large databases. Moreover, the algorithm can deal with clusters with arbitrary shapes in which the k-means algorithm can not discover.
在空间数据挖掘中,聚类是在底层数据对象中发现感兴趣数据的有用技术之一。k-means算法可能是应用最广泛的聚类方法。但k-means算法的一个主要缺点是难以确定表示自然聚类的参数k,并且只适用于凹球形聚类。为此,本文提出了一种适用于大型空间数据库的高效聚类算法。它将分层方法与网格划分相结合。通过将这些块重复组合在一起,采用分层方法找到真正的簇。希尔伯特曲线是一条连续的路径,它通过空间中的每一点一次,使点的坐标与曲线上点的一维序列号之间形成一一对应关系。使用希尔伯特曲线的目的是为了保持空间中接近的点之间的距离,并表示相似的数据应按线性顺序紧密地存储在一起。这种映射还可以最大限度地减少磁盘访问工作,并为集群提供高速。仿真结果表明,对于大型数据库,聚类算法的执行时间比k-means算法短。此外,该算法还可以处理k-means算法无法发现的任意形状的聚类。
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引用次数: 2
GPRS Based Guard Robot Alarm System Design 基于GPRS的警卫机器人报警系统设计
Maohai Li, Lining Sun, Qing-Cheng Huang, Z. Cai, Songhao Piao
This paper presents a practical approach to design guard robot alarm system using GPRS technology. GPRS offers an interesting communications infrastructure for remotely accessing, controlling and interacting with robots in an integrated and highly portable manner, particularly in recent years the GPRS network provides wireless access of internet for mobile phone which becomes the most important and common terminal equipment. Therefore, in this paper the alarm information is designed to send to the user’s mobile phone, and add man-made intervention to the system, thus achieves a more convenient and reliable alarm system. The system mainly consists of two parts: detection of abnormal and dangerous situation in domestic environment and sending the alarm information as MMS form to the user’s phone via GPRS networks. Finally experiments show that the alarm system can accurately send alarm information to the user’s mobile phone. The system is low-cost, flexible, reliable, and can be widely used.
本文介绍了一种利用GPRS技术设计警卫机器人报警系统的实用方法。GPRS网络为机器人的远程访问、控制和交互提供了一种集成的、高度便携的通信基础设施,特别是近年来,GPRS网络为移动电话提供了无线互联网接入,成为最重要和最常见的终端设备。因此,本文将报警信息发送到用户的手机上,并在系统中加入人为干预,从而实现更加方便可靠的报警系统。该系统主要由两部分组成:对家庭环境中的异常危险情况进行检测,并通过GPRS网络将报警信息以彩信的形式发送到用户的手机。最后实验表明,该报警系统能够准确地将报警信息发送到用户的手机上。该系统成本低、灵活可靠,可广泛应用。
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引用次数: 2
Software Evolution Method Considering Software Historical Behavior 考虑软件历史行为的软件演化方法
Qian Zhao, Huiqiang Wang, Guangsheng Feng, Xu Lu
The goal of software evolution research is to use the history of a software system to analyze its present state and to predict its future development, which made people can better use and management software In this paper, a process of changing normal software into autonomic software is described, which add autonomic attribute in software. Relationship and operation of components for software evolution is defined and the process of software evolution mechanism is depicted in this paper. A software evolution method considering software historical behavior is proposed for maintaining the dependability of software in a stable and non-reduced level. The simulated results produced by the designed experiment show that the method is validity in maintaining and increasing the dependability of software.
软件进化研究的目标是利用软件系统的历史来分析软件的现状,预测软件的未来发展,使人们能够更好地使用和管理软件。本文描述了一个将普通软件转变为自主软件的过程,在软件中加入自主属性。定义了软件演化中各组成部分的关系和作用,描述了软件演化机制的过程。提出了一种考虑软件历史行为的软件演化方法,使软件的可靠性保持在稳定和不降低的水平。设计的仿真实验结果表明,该方法在维护和提高软件可靠性方面是有效的。
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引用次数: 1
Publish/Subscribe Driven Matching Algorithm 发布/订阅驱动匹配算法
Min Song, Zhe Zhang, Guisheng Yin, Hongbin Wang, J. Ni
The characteristics of publish/subscribe technology are of asynchronism and loosely coupled. This phenomenon makes producers and consumers are de-communicated in temporal and spatial domains during processing. It requires develop a dynamic integration in today’s large-scale, distributed information system. This paper introduces a Semantic Integration Data Model (SIDM) for publish/subscribe systems, within which model subscription module is designed. The model contains a matching algorithm which combines both publishing-driven and subscription-driven matching algorithms. Our experiments show that this matching algorithm has high efficiency for matching.
发布/订阅技术的特点是异步和松耦合。这一现象使得生产者和消费者在加工过程中在时间和空间上失去了联系。它要求在当今大规模、分布式的信息系统中发展动态集成。本文介绍了面向发布/订阅系统的语义集成数据模型(SIDM),并在该模型中设计了订阅模块。该模型包含一个匹配算法,该算法结合了发布驱动和订阅驱动的匹配算法。实验表明,该匹配算法具有较高的匹配效率。
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引用次数: 0
A R-tree-based Fine Directional Query Filtering 基于r树的精细定向查询过滤
Ze-bao Zhang, Jianpei Zhang, Ruo-yu Li, Jing Yang
there have little work on processing joins with direction predicates, the research work on processing of spatial joins has primarily focused on topological and distance relations. The processing of direction relation queries is essentially a traversing process. A new fine query filtering method based on R-tree presented in this paper. A fine filtering step added in the middle of the traditional 2-stage query model. The improved method could decrease the size of candidate set in the filter step, and thus it can reduce the workload of the refine step. The validity of method is be proved by theoretical analysis. The improved methods only achieve the 40% calculation cost of original method. Results fully prove the validity of this method. Finally, it uses real world datasets to prove the validity. The experiment results show that performance evaluation of the proposed method performs well with respect to both I/O-and CPU-time.
关于方向谓词连接处理的研究很少,空间连接处理的研究主要集中在拓扑关系和距离关系上。方向关系查询的处理本质上是一个遍历过程。提出了一种新的基于r树的精细查询过滤方法。在传统的两阶段查询模型中间添加了一个精细的过滤步骤。改进后的方法减小了滤波步骤中候选集的大小,从而减少了细化步骤的工作量。理论分析证明了该方法的有效性。改进方法的计算成本仅为原方法的40%。结果充分证明了该方法的有效性。最后,使用真实世界的数据集来证明算法的有效性。实验结果表明,该方法在I/ o和cpu时间方面都有良好的性能评价。
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引用次数: 1
Survey on Formal Verification Methods for Digital IC 数字集成电路形式化验证方法研究
Jianhua Wang, Jingbo Shao, Yingmei Li, Jinfeng Ding
This paper presents a survey of the state-of-art of formal verification technique. The expression models for formal verification are introduced and analyzed. The characteristics of each model are expounded. Moreover, the typical model checking techniques are studied. Equivalence checking and property checking are introduced. The development trend for formal verification is discussed.
本文介绍了形式验证技术的研究现状。介绍并分析了形式化验证的表达式模型。阐述了各模型的特点。并对典型的模型校核技术进行了研究。介绍了等价性检验和性质检验。讨论了形式验证的发展趋势。
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引用次数: 4
A High-Level Fuzzy Timed Petri-Net-Based Approach 基于高级模糊定时petri网的方法
Xin Liu, Guisheng Yin, Ziying Zhang
In order to deal with the uncertain temporal knowledge of the complex real-time system and to improve the existed uncertain temporal knowledge expression and inference algorithm, a new kind of high-level fuzzy timed Petri nets was proposed based on fuzzy timed Petri nets (FTN). The uncertain temporal of the complex real-time can be quantitatively described and the time possibility can be analyzed after temporal constraint was added to resources and transitions of FTN. Finally, a case study was given to illustrate the usage of this approach. The temporal phenomena and laws of real-time system can be described more overall with HFTN. It is suitable for complex real-time system modeling and analysis.
为了处理复杂实时系统的不确定时间知识,改进现有的不确定时间知识表达和推理算法,在模糊时间Petri网(FTN)的基础上提出了一种新的高级模糊时间Petri网。在FTN的资源和转移中加入时间约束后,可以定量描述复杂实时的不确定时间,分析时间可能性。最后,给出了一个案例研究来说明这种方法的使用。HFTN可以更全面地描述实时系统的时间现象和规律。它适用于复杂的实时系统建模和分析。
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引用次数: 1
A New Energy-Efficient Routing Algorithm Based on Ant Colony System for Wireless Sensor Networks 一种基于蚁群系统的无线传感器网络节能路由算法
Songzhu Xia, Su Wu, Jun Ni
Due to the limited availability of energy within network nodes, energy-efficient routing mechanism is one of the most critical issues in wireless sensor networks. In this paper, we propose a multi-path routing algorithm with energy-aware based on ant colony system. The algorithm introduces three improved rules: Ant Marginalization Rule, State Transition Rule and Global Pheromone Update Rule to solve the problems of local convergence, local optimization and multi-path for transferring data respectively. It can avoid using up the energy of nodes on the optimal path while preserving network connectivity. Compared with traditional routing methods, simulation results demonstrate that the algorithm can help save energy and prolong the lifetime of the network.
由于网络节点的可用能量有限,高效节能的路由机制是无线传感器网络中最关键的问题之一。本文提出了一种基于蚁群系统的能量感知多路径路由算法。该算法引入了蚁群边缘化规则、状态转移规则和全局信息素更新规则三种改进规则,分别解决了数据的局部收敛、局部优化和多路径传输问题。它可以在保证网络连通性的同时,避免耗尽最优路径上节点的能量。仿真结果表明,与传统的路由方法相比,该算法能够有效地节省网络能量,延长网络的生命周期。
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引用次数: 8
Notice of Violation of IEEE Publication PrinciplesAn Efficient Mining Algorithm for Top-k Strongly Correlated Item Pairs 一种高效的Top-k强相关项对挖掘算法
Qiang Li, Yongshi Zhang
This paper presents an efficient method, which finds top-k strongly correlated item pairs from transaction database, without generating any candidate sets. To reduce execution time, the proposed method uses a correlogram matrix based approach to compute support count of all item sets in a single scan over the database. From the correlogram matrix the correlation values of all the item pairs are computed and top-k correlated pairs are extracted very easily. The simplified logic structure makes the implementation of the proposed method more attractive. Experiments were taken with real and synthetic datasets and the performance of the proposed method was compared with its other counterparts.
本文提出了一种从事务数据库中找到top-k强相关项对的有效方法,该方法不产生任何候选集。为了减少执行时间,该方法使用基于相关图矩阵的方法来计算数据库单次扫描中所有项目集的支持计数。从相关图矩阵中计算出所有项目对的相关值,并很容易地提取出top-k相关对。简化的逻辑结构使该方法的实现更具吸引力。在真实数据集和合成数据集上进行了实验,并与其他方法进行了性能比较。
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引用次数: 1
Privacy Preserving Association Rules Mining Based on Data Disturbance and Inquiry Limitation 基于数据干扰和查询限制的隐私保护关联规则挖掘
Wei Li, Jie Liu
Privacy is an important issue in data mining and knowledge discovery. In this paper, we use the randomized response technology to conduct association rule mining. We propose a privacy preserving association rule mining algorithm which is called DDIL based on data disturbance and inquiry limitation. Applying DDIL on the data set, the original data can be disturbed and hidden and the degree of privacy-preserving is improved effectively. Specially, a high effective method of generating frequent items from transformed data sets is proposed. Our experiments demonstrate that when the random parameters are chosen suitably, our methods are effective and provide acceptable values in practice for balancing privacy and accuracy.
隐私是数据挖掘和知识发现中的一个重要问题。本文采用随机响应技术进行关联规则挖掘。基于数据干扰和查询限制,提出了一种保护隐私的关联规则挖掘算法DDIL。在数据集上应用DDIL,可以对原始数据进行干扰和隐藏,有效地提高了隐私保护程度。特别提出了一种从变换后的数据集生成频繁项的高效方法。我们的实验表明,当选择合适的随机参数时,我们的方法是有效的,并且在实践中提供了可接受的值来平衡隐私和准确性。
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引用次数: 5
期刊
2009 Fourth International Conference on Internet Computing for Science and Engineering
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