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5th International Conference on Intelligent Systems Design and Applications (ISDA'05)最新文献

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Indexing and retrieval medical images based on 2/spl times/2 DCT and IDS compression 基于2/ sp1次/2 DCT和IDS压缩的医学图像索引与检索
K. A. Saadi, A. Zemouri, Z. Brahimi, H. Meraoubi
Although digital images indexing and querying techniques have extensively been studied for the last years, few systems are dedicated to medical images today while the need for content-based analysis and retrieval tools increases with the growth of digital medical image databases. In this paper, we present a content based medical images indexing and retrieval technique (CBIR) using the 2/spl times/2 discrete cosine transform and information dominance strategy (IDS) compression. The extraction of the feature vectors is based on a 4/spl times/4 DCT model proposed in the literature. These features are directly generated from the 2/spl times/2 DCT coefficients reorganized in subbands and the search process is carried out: by' calculating cosine distance measure between the signatures of the query image and those stored in the database. The developed 2/spl times/2 DCT approach is expected to be very useful for a targeted seeking.
尽管数字图像索引和查询技术在过去几年中得到了广泛的研究,但今天很少有系统专门用于医学图像,而随着数字医学图像数据库的增长,对基于内容的分析和检索工具的需求也在增加。本文提出了一种基于内容的医学图像索引与检索技术(CBIR),该技术采用2/ sp1次/2离散余弦变换和信息优势策略(IDS)压缩。特征向量的提取基于文献中提出的4/spl times/4 DCT模型。这些特征是由在子带中重组的2/spl times/2 DCT系数直接生成的,并通过计算查询图像的特征与数据库中存储的特征之间的余弦距离度量来进行搜索过程。开发的2/ sp1次/2 DCT方法预计对目标找井非常有用。
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引用次数: 2
New evolutionary approach to the GCP: a premature convergence and an evolution process character GCP的新演化方法:早熟收敛与演化过程特征
P. Myszkowski
This paper presents a new approach to the graph coloring problem (GCP) which utilizes information about conflict localization in a given coloring. In this context a partial fitness function (pff) and its usage to specialize genetic operators and phenotypic measure of diversity in population are described. Particular attention is given to the investigation of the influence of the population size and the usage of genetic operators on the character of the evolution, especially influence leading to a premature convergence in the evolution process. Experiments based on benchmark DIMACS graphs are presented.
本文提出了一种利用给定着色中的冲突定位信息来解决图着色问题的新方法。在这种情况下,部分适应度函数(pff)及其用于专门化遗传算子和种群多样性的表型测量的描述。重点研究了种群大小和遗传算子的使用对进化特性的影响,特别是对导致进化过程过早收敛的影响。给出了基于基准DIMACS图的实验。
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引用次数: 2
Welfare economy on belief in data mining - a rough set theoretical approach 福利经济的信仰数据挖掘——粗糙集理论方法
T. Matsuhisa
We investigate a pure exchange economy under uncertainty with emphasis on the logical point of view from data base theory; the traders are assumed to have a multi-modal logic of belief and to make their decision under uncertainty represented by rough sets. We propose a generalized notion of expectations equilibrium for the economy, and we show the fundamental welfare theorem: An allocation in the economy is ex-ante Pareto optimal if and only if it is an expectations equilibrium allocation in belief for some initial endowment with respect to some price system.
本文从数据库理论的逻辑角度考察了不确定条件下的纯交换经济;假设交易者具有多模态的信念逻辑,并在粗糙集表示的不确定性下进行决策。我们提出了经济中期望均衡的一个广义概念,并证明了基本福利定理:经济中的分配是事前帕累托最优的当且仅当它是相对于某个价格系统的某个初始禀赋的信念期望均衡分配。
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引用次数: 1
Using fuzzy probabilistic neural network for fault detection in MEMS 模糊概率神经网络在MEMS故障检测中的应用
R. Asgary, K. Mohammadi
There are different methods for detecting digital faults in electronic and computer systems. But for analog faults, there are some problems. This kind of faults consists of many different and parametric faults, which can not be detected by digital fault detection methods. One of the proposed methods for analog fault detection is neural networks. Fault detection is actually a pattern recognition task. Faulty and fault free data are different patterns which must be recognized. In this paper we use a probabilistic neural network for fault detection in MEMS. A fuzzy system is used to improve performance of the network. Finally different network results are compared.
在电子和计算机系统中,检测数字故障有不同的方法。但对于模拟故障,存在一些问题。这类故障由许多不同的参数故障组成,数字故障检测方法无法检测到。神经网络是目前提出的模拟故障检测方法之一。故障检测实际上是一种模式识别任务。故障数据和无故障数据是必须识别的不同模式。本文将概率神经网络应用于微机电系统的故障检测。采用模糊系统来提高网络的性能。最后对不同的网络结果进行了比较。
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引用次数: 5
Bookmark shared system using agent systems 书签共享系统使用代理系统
Y. Nagai, K. Inoue
Recently, collaborative filtering is proposed as an information gathering technology of the WWW in the network. Collaborative filtering is a technology that recommends information on the Web page for an arbitrary user who wants to acquire recommendation information based on many users' evaluation and retrieval histories. In this paper, the bookmark shared system that filters bookmark information collaboratively is described. Especially, we explain the details of the bookmark shared system using agent systems and it's collaborative filtering on the distributed environment. In a concrete agent modeling, the multiagent does a simple communication to notify the profile update, and the retrieval processing is done by a mobile agent. As a result, the profile management on the distributed environment is facilitated, and it is possible to construct collaborative filtering system that can decrease the communication frequency in the retrieval processing.
近年来,协同过滤作为万维网在网络中的一种信息采集技术被提出。协同过滤是一种为任意用户推荐网页上的信息的技术,该用户希望根据许多用户的评价和检索历史来获取推荐信息。本文介绍了一种书签共享系统,该系统能够对书签信息进行协同过滤。详细介绍了基于代理系统的书签共享系统及其在分布式环境下的协同过滤。在具体代理建模中,多代理通过简单的通信来通知概要文件更新,而检索处理由移动代理完成。从而为分布式环境下的概要文件管理提供了便利,并为构建协同过滤系统提供了可能,从而降低了检索过程中的通信频率。
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引用次数: 0
Proposal of a neuro-fuzzy model of a WWW server 一个WWW服务器的神经模糊模型的提出
K. Zatwarnicki
This paper presents the ways of designing simulation models of Web servers. At the beginning queuing network models are introduced, those models are generally known and often used in the initial phase of research on particular technical solutions. Next, an entirely new approach to the issue discussed is presented - neuro-fuzzy models, thanks to which, it is possible to automate the process of designing simulation models. The results of comparative tests of these two models are presented. Based on these results it can be concluded that neuro-fuzzy models are accurate and can be used in simulation research.
本文介绍了Web服务器仿真模型的设计方法。首先介绍排队网络模型,这些模型通常是已知的,并且经常用于特定技术解决方案的初始研究阶段。接下来,提出了一种全新的方法来解决所讨论的问题-神经模糊模型,由于它,可以自动化设计仿真模型的过程。给出了两种模型的对比试验结果。结果表明,神经模糊模型是准确的,可以用于仿真研究。
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引用次数: 3
Parallel telemetric data warehouse balancing algorithm 并行遥测数据仓库平衡算法
M. Gorawski, Robert Chechelski
One of the most important requirements of data warehouses is query response time. Amongst all methods of improving query performance, parallel processing (especially in shared nothing class) is one of the giving practically unlimited system's scaling possibility. The key problem in a parallel data warehouses is data allocation between system nodes. The problem is growing when nodes have different computational characteristics. In this paper we present an algorithm of balancing parallel data warehouse built on mentioned architecture. Balancing is realized by setting dataset size stored in each node. We exploited some well known data allocation schemas using space filling curves: Hilbert and Peano. Our conception is verified by a set of tests and its analysis.
数据仓库最重要的需求之一是查询响应时间。在所有提高查询性能的方法中,并行处理(特别是在无共享类中)实际上是提供无限系统扩展可能性的方法之一。并行数据仓库的关键问题是系统节点之间的数据分配。当节点具有不同的计算特征时,问题就越来越严重。本文在此基础上提出了一种平衡并行数据仓库的算法。平衡是通过设置存储在每个节点的数据集大小来实现的。我们利用了一些著名的数据分配模式,使用空间填充曲线:Hilbert和Peano。我们的设想通过一系列试验和分析得到了验证。
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引用次数: 5
Applying SVD on item-based filtering 将奇异值分解应用于基于项的过滤
M. Vozalis, K. Margaritis
In this paper we examine the use of a matrix factorization technique called singular value decomposition (SVD) in item-based collaborative filtering. After a brief introduction to SVD and some of its previous applications in recommender systems, we proceed with a full description of our algorithm, which uses SVD in order to reduce the dimension of the active item's neighborhood. The experimental part of this work first locates the ideal parameter settings for the algorithm, and concludes by contrasting it with plain item-based filtering which utilizes the original, high dimensional neighborhood. The results show that a reduction in the dimension of the item neighborhood is promising, since it does not only tackle some of the recorded problems of recommender systems, but also assists in increasing the accuracy of systems employing it.
在本文中,我们研究了一种称为奇异值分解(SVD)的矩阵分解技术在基于项目的协同过滤中的应用。在简要介绍了SVD及其之前在推荐系统中的一些应用之后,我们继续对我们的算法进行全面描述,该算法使用SVD来降低活动项目的邻域维数。本工作的实验部分首先确定了算法的理想参数设置,并将其与利用原始高维邻域的普通基于项的滤波进行了对比。结果表明,降低项目邻域的维度是有希望的,因为它不仅解决了推荐系统的一些记录问题,而且还有助于提高使用它的系统的准确性。
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引用次数: 53
Clustering algorithms for bank customer segmentation 银行客户细分的聚类算法
D. Zakrzewska, J. Murlewski
Market segmentation is one of the most important area of knowledge-based marketing. In banks, it is really a challenging task as data bases are large and multidimensional. In the paper we consider cluster analysis, which is the methodology, the most often applied in this area. We compare clustering algorithms in cases of high dimensionality with noise. We discuss using three algorithms: density based DBSCAN, k-means and based on it two-phase clustering process. We compare algorithms concerning their effectiveness and scalability. Some experiments with exemplary bank data sets are presented.
市场细分是知识营销的一个重要领域。在银行中,这确实是一项具有挑战性的任务,因为数据库庞大且多维。在本文中,我们考虑聚类分析,这是最常用的方法,在这一领域。我们比较了高维和噪声情况下的聚类算法。我们讨论了使用三种算法:基于密度的DBSCAN, k-means和基于它的两阶段聚类过程。我们比较了算法的有效性和可扩展性。给出了一些典型银行数据集的实验。
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引用次数: 56
Fuzzy flight control system for helicopter intelligence in hover 直升机悬停智能模糊飞行控制系统
M. Lower, B. Szlachetko, Dariusz Król
This paper relates to a fuzzy flight control system in spot hovering for a single-rotor helicopter PZL Kania. The model of the fuzzy control system was developed on the basis of computer simulation experiments done by the expert's analysis (pilot's knowledge). The helicopter's mathematical model and its fuzzy flight control system were simulated using Matlab software package. In a series of numerous computer simulations the operation of the fuzzy control system was investigated and the system itself was tuned up. Simulation tests have been performed for the helicopter both in fixed hovering, and in hovering with disturbances. Disturbances were related to a gust of wind or to an accidental motion of one of the rudders. Obtained results give the good promise for building the Web simulator.
本文研究了PZL卡尼亚单旋翼直升机现场悬停模糊飞行控制系统。在专家分析(飞行员知识)的基础上进行计算机仿真实验,建立了模糊控制系统的模型。利用Matlab软件包对直升机的数学模型和模糊飞控系统进行了仿真。在一系列的计算机模拟中,研究了模糊控制系统的运行情况,并对系统进行了调整。对直升机进行了固定悬停和有干扰悬停的仿真试验。扰动与一阵风或其中一个舵的偶然运动有关。所得结果为构建Web模拟器提供了良好的前景。
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引用次数: 18
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5th International Conference on Intelligent Systems Design and Applications (ISDA'05)
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