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2012 IEEE International Conference on Computer Science and Automation Engineering最新文献

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Multi-media data mining technology for the systematic framework 以多媒体数据挖掘技术为系统框架
Pub Date : 2012-06-22 DOI: 10.1109/ICSESS.2012.6269531
Wanliang Fu
The paper makes an analysis for the requirement of the multimedia technology in today's information environment. A common process for systematic framework, general organization and the mining process for the multimedia database are introduced. Besides, a description of the traits for the different kinds of the media that can be mined is made and a basic method of the multi-media data mining is provided. A discussion has been made on the future challenges of the multi-media data-mining technology.
本文分析了当今信息环境对多媒体技术的要求。介绍了多媒体数据库系统框架的一般流程、总体组织和挖掘过程。此外,对可挖掘的各类媒体的特点进行了描述,给出了多媒体数据挖掘的基本方法。讨论了多媒体数据挖掘技术未来面临的挑战。
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引用次数: 2
Testing transitive trust algorithms for use in information quality assessment 测试用于信息质量评估的传递信任算法
Pub Date : 2012-06-22 DOI: 10.1109/ICSESS.2012.6269579
M. Šajna
Information quality (IQ) in the World Wide Web is stagnant; thus there is a constant need for IQ assessment techniques. Our research works towards a model, which would employ community-driven personalization with the help of trust metrics. This paper presents results from a series of experiments, which have proven the feasibility and suitability of two transitive trust algorithms for our research. Furthermore, we have benchmarked their effectiveness in the test environment.
万维网的信息质量(IQ)停滞不前;因此,对智商评估技术的需求是持续的。我们的研究致力于建立一个模型,该模型将在信任指标的帮助下采用社区驱动的个性化。本文给出了一系列实验结果,证明了两种传递信任算法的可行性和适用性。此外,我们已经在测试环境中对它们的有效性进行了基准测试。
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引用次数: 0
An efficient algorithm for mining closed weighted frequent pattern over data streams 一种有效的数据流封闭加权频繁模式挖掘算法
Pub Date : 2012-06-22 DOI: 10.1109/ICSESS.2012.6269428
Wang Jie, Zeng Yu
Weighted frequent pattern mining is suggested to discover more important frequent pattern by considering different weights of each item, and closed frequent pattern mining can reduces the number of frequent patterns and keep sufficient result information. In this paper, we propose an efficient algorithm DS_CWFP to mine closed weighted frequent pattern mining over data streams. We present an efficient algorithm based on sliding window and can discover closed weighted frequent pattern from the recent data. A new efficient DS_CWFP data structure is used to dynamically maintain the information of transactions and also maintain the closed weighted frequent patterns has been found in the current sliding window. Three optimization strategies are present. The detail of the algorithm DS_CWFP is also discussed. Experimental studies are performed to evaluate the good effectiveness of DS_CWFP.
建议采用加权频繁模式挖掘,通过考虑每个项目的不同权重来发现更重要的频繁模式,封闭式频繁模式挖掘可以减少频繁模式的数量并保留足够的结果信息。本文提出了一种有效的数据流封闭加权频繁模式挖掘算法DS_CWFP。提出了一种基于滑动窗口的有效算法,可以从近期数据中发现封闭加权频繁模式。采用一种新的高效的DS_CWFP数据结构来动态维护事务信息,同时维护当前滑动窗口中发现的封闭加权频繁模式。提出了三种优化策略。本文还详细讨论了DS_CWFP算法。实验验证了DS_CWFP的良好效果。
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引用次数: 3
Wireless sensor networks routing protocol based on ant colony algorithm 基于蚁群算法的无线传感器网络路由协议
Pub Date : 2012-06-22 DOI: 10.1109/ICSESS.2012.6269430
Guo Xiangping, Jin Ying, Hu Ronglin, Chen Liqing
In the paper, we provide a novel routing algorithm (ANRP), which is based on Ant Colony System. The aim of the ANRP is to solve the problem of limited energy for wireless sensor network routing process. It is able to achieve better load balance and prolong the network lifetime. ANRP combines the ratio of the residual energy and the total energy with the distance of any two nodes, which is used as the control factor of the decision probability. Furthermore, in the incremental equation of pheromone, it also considers data packets length and the hop-size between source node and destination node. In this way, NARP can search the optimize path from the source node to destination node and balances the energy consumption for WSNs. Simulation results demonstrate that NARP has better performance than AODV.
本文提出了一种新的基于蚁群系统的路由算法。该算法旨在解决无线传感器网络路由过程中能量有限的问题。它可以实现更好的负载平衡,延长网络生命周期。ANRP将剩余能量与总能量之比与任意两个节点的距离相结合,作为决策概率的控制因子。此外,在信息素增量方程中,还考虑了数据包长度和源节点与目的节点之间的跳数大小。这样,NARP可以搜索到从源节点到目的节点的最优路径,并平衡wsn的能耗。仿真结果表明,NARP比AODV具有更好的性能。
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引用次数: 3
Improved algorithm for UPnP discovery in smart space 智能空间中UPnP发现的改进算法
Pub Date : 2012-06-22 DOI: 10.1109/ICSESS.2012.6269518
Zhi Wang, Jizhong Zhao
The current UPnP service discovery algorithm can cause severe drops with response message rate when applied in pervasive computing environments with large scale of services. The deficiency lies in the instantaneous transmission of all response messages and the independent random selection of the transmission delay so that the response messages collide and congest. To reduce the congestion, a refined algorithm is developed which is based on unchanged the root device's discovery protocol, control point using multiple adaptive maximum query time (MX), to ensure that devices in the environment can be discovered. The simulation verifies that the refined algorithm gives better performance in the response message's drop ratio.
当前的UPnP服务发现算法在应用于大规模服务的普适性计算环境时,会造成响应消息率的严重下降。其不足之处在于所有响应消息的传输都是瞬时的,并且传输延迟的独立随机选择,使得响应消息发生碰撞和拥挤。为了减少拥塞,提出了一种基于根设备发现协议不变的改进算法,控制点使用多个自适应最大查询时间(MX)来保证环境中的设备能够被发现。仿真结果表明,改进后的算法在响应消息的丢包率方面具有较好的性能。
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引用次数: 2
Embedded lowlight image quality measure 嵌入式低光照图像质量测量
Pub Date : 2012-06-22 DOI: 10.1109/ICSESS.2012.6269463
Yongjuan Pan, Jin Wang
Based on the research on embedded camera user's attention level, a novel blind image quality ranking and poor appearance detection algorithm for low lighting environment are proposed for the first time. Different from the traditional algorithms, the proposed one mixed model composed of detecting lowlight, grading blur degree and noise level, and figuring out the under- or over-exposure. It reaches the real time performance even on low level embedded devices with the detail feedback of quality score. The experiments show the proposed method performs well and is consistent with human perception.
在研究嵌入式摄像机用户注意力水平的基础上,首次提出了一种新的低光照环境下的盲图像质量排序和不良外观检测算法。与传统算法不同的是,提出了一种由低光检测、模糊度分级和噪声等级分级以及曝光不足和曝光过度计算组成的混合模型。通过质量评分的详细反馈,即使在低水平的嵌入式设备上也能达到实时性能。实验结果表明,该方法具有良好的性能,符合人类感知。
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引用次数: 0
Crime detection using Latent Semantic Analysis and hierarchical structure 基于潜在语义分析和层次结构的犯罪侦查
Pub Date : 2012-06-22 DOI: 10.1109/ICSESS.2012.6269474
Canyu Wang, Xuebi Guo, Hao Han
We make efforts to help the investigator discover the hidden conspirators. In the criminal cases, the investigators or the police have to make full use of the messages or spoken documents data that they record in files. Thus, mining the latent information from messages is vital to them. In Information Retrieval area, Latent Semantic Analysis (LSA) is an important method for query matching which can discover the underlying semantic relation or similarity between words and topics. We introduce a network hierarchical structure to analyze the original message network, making the analysis conveniently as well as ensuring the connectivity of the inner network connection of all the conspirators. For this purpose, we use LSA to measure the similarities between topics and Crime Prototype Vector, and the similarities will be used as the weights of the paths in the network hierarchies and calculate the suspicious degrees.
我们努力帮助调查人员发现隐藏的阴谋家。在刑事案件中,侦查人员或警察必须充分利用他们在档案中记录的信息或口头文件数据。因此,从消息中挖掘潜在信息对他们来说至关重要。在信息检索领域,潜在语义分析(LSA)是一种重要的查询匹配方法,它可以发现词与主题之间潜在的语义关系或相似度。我们引入网络层次结构对原始消息网络进行分析,既方便了分析,又保证了所有共谋者内部网络连接的连通性。为此,我们使用LSA来度量主题与犯罪原型向量之间的相似度,并将相似度用作网络层次中路径的权重,并计算可疑度。
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引用次数: 2
Research of data mashup based on Google Map and top-k ranking 基于Google Map和top-k排名的数据混搭研究
Pub Date : 2012-06-22 DOI: 10.1109/ICSESS.2012.6269486
Wenjiang Hu, Fuxin Zhao, Yongbing Gao, Tingting Zhao
As an important feature of Web 2.0, mashup technology can improve data value by integrating data and services. Google Map provides a series of services of map data provided , processed ,published, making application of Google Map technology conform the development trend of the times. In this paper, Google Map is as a platform combined with a reasonable top-k ranking method which are able to build a application mode that can process map data, provide user a reasonable order according to the need and provide reasonable choose suggestion.
作为Web 2.0的一个重要特性,mashup技术可以通过集成数据和服务来提高数据价值。谷歌地图提供地图数据提供、处理、发布等一系列服务,使谷歌地图技术的应用符合时代发展趋势。本文以Google Map为平台,结合合理的top-k排序方法,构建一种能够处理地图数据,根据需要为用户提供合理排序,并提供合理选择建议的应用模式。
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引用次数: 1
Distribute localization for wireless sensor networks using particle swarm optimization 基于粒子群算法的无线传感器网络分布定位
Pub Date : 2012-06-22 DOI: 10.1109/ICSESS.2012.6269478
Jialiang Lv, Huanqing Cui, Ming Yang
Localization is one the key technologies of wireless sensor networks, and the problem of localization is always formulate as an optimization problem. Particle swarm optimization (PSO) is easy to implement and requires moderate computing resources, which is feasible for localization of sensor network. To improve the efficiency and precision of PSO-based localization methods, this paper proposes a distributed PSO-based method. Based on the probabilistic distribution of ranging error, it presents a new objective function to evaluate the fitness of particles. Moreover, it tries to localize as many unknown nodes as possible in a more accurate search space. Simulation results show that the proposed method outperforms previous proposed algorithms.
定位是无线传感器网络的关键技术之一,定位问题通常被表述为优化问题。粒子群算法具有实现简单、计算资源适中的特点,对传感器网络的定位是可行的。为了提高基于pso的定位方法的效率和精度,提出了一种基于pso的分布式定位方法。基于测距误差的概率分布,提出了一种新的目标函数来评价粒子的适应度。此外,它试图在更精确的搜索空间中定位尽可能多的未知节点。仿真结果表明,该方法优于已有的算法。
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引用次数: 10
Research of a scheduling and load balancing scheme based on large-scale distributed systems 基于大规模分布式系统的调度与负载均衡方案研究
Pub Date : 2012-06-22 DOI: 10.1109/ICSESS.2012.6269503
Zhenbin Yan, Wenzheng Li
Load-balancing is an important technology for improving performance of distributed system. We are based on the analysis of distributed process communication protocol, then we design a load balancing solution for the automation deployment and monitoring system , in order to solve the big communication load problem when the control center directly send messages to the large number of clients and the bottleneck that the number of client controlled by center cannot beyond the upper limit of the machine port, we design a resource scheduling strategy and puts forward the concept of communication layer proxy, then using two methods the subnet mask algorithm and consistency hash algorithm to realize the communication layer proxy. Through the experimental results show that the plan effective solve this two questions and with a good load uniformity and a little damage of remapping.
负载均衡是提高分布式系统性能的一项重要技术。在分析分布式进程通信协议的基础上,设计了自动化部署监控系统的负载均衡解决方案,以解决控制中心直接向大量客户端发送消息时通信负载大的问题和中心控制的客户端数量不能超过机器端口上限的瓶颈问题。设计了一种资源调度策略,提出了通信层代理的概念,并采用子网掩码算法和一致性哈希算法两种方法实现了通信层代理。通过实验结果表明,该方案有效地解决了这两个问题,并且具有较好的负载均匀性和较小的重映射损伤。
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引用次数: 3
期刊
2012 IEEE International Conference on Computer Science and Automation Engineering
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