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2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop最新文献

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Finite Element Analyses for Radial Piezoelectric Mode Laminated Transducer 径向压电型层压换能器的有限元分析
Pub Date : 2008-12-01 DOI: 10.1109/KAMW.2008.4810552
Dong Tianxiao, Wang Likun, Q. Lei, Wu Weiwei, Wang Gang
A novel laminated piezoelectric transducer was mainly composed of the piezoelectric ceramics, metal bolt, rubber gasket, copper electrode, waterproof layer and output cable. The transducer finite-element modeling was built, separately in the air and water, with ANSYS10.0 to calculate the resonance frequency, conductance, transmitting voltage response and directivity. The simulation showed that the laminated structure effectively improved the sensitivity of the piezoelectric transducer. The maximum transmitting voltage respond of the laminated piezoelectric transducer can achieve more than 155 dB, compared with a traditional design by approximately 10%.
一种新型叠层式压电换能器主要由压电陶瓷、金属螺栓、橡胶垫片、铜电极、防水层和输出电缆组成。利用ANSYS10.0软件分别在空气和水中建立了换能器有限元模型,计算了换能器的谐振频率、电导、发射电压响应和指向性。仿真结果表明,叠层结构有效地提高了压电换能器的灵敏度。该压电换能器的最大发射电压响应可达到155 dB以上,比传统设计提高了约10%。
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引用次数: 0
Decision Making Before the Location Model of Distribution Center 配送中心选址前的决策模型
Pub Date : 2008-12-01 DOI: 10.1109/KAMW.2008.4810620
Lianhong Ding, Peng Shi, Bingwu Liu
Appropriate locations for distribution centers benefit both distribution centers and their clients. Many location models of distribution centers base on the assumption that the companies that the distribution center serves are known. Few literatures touch on the issue that if the right companies have been found as the service objects for the distribution center. This paper believes the better way is to find the right service clients first, and then, build location model based on it. And this paper focuses on the identification of the service clients and other decisions can be made based on the identification result. In order to find the right clients for distribution centers a network which can reflects the transport relationships among companies is created first. Then the companies that should share logistics service are identified through community detection method. The companies belonging to a same community of the network may become the right service clients for a distribution center.
配送中心的合适位置对配送中心和客户都有利。许多配送中心选址模型都是基于配送中心服务对象已知的假设。很少有文献涉及到配送中心是否找到了合适的服务对象。本文认为,较好的方法是首先找到合适的服务客户,然后在此基础上建立定位模型。本文重点研究了服务客户的识别,并根据识别结果进行其他决策。为了为配送中心找到合适的客户,首先要建立一个能够反映公司之间运输关系的网络。然后通过社区检测的方法,确定了需要共享物流服务的公司。属于同一网络社区的公司可能成为配送中心的合适服务客户。
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引用次数: 0
Optimization System Design for One-Dimensional Cutting-Stock Problem 一维下料问题的优化系统设计
Pub Date : 2008-12-01 DOI: 10.1109/KAMW.2008.4810631
C. Shukun, Zhao Fang, Ai Changsheng, Dong Ke
At present, aiming at the flourish development of the domestic plastic industry, and the actuality of the traditional mass production using single cutting method in project. Based on analyzing one-dimensional stock cutting optimizing mathematical model and linear programming technique, this paper puts forward a kind of optimizing tactic to one-dimensional stock arrange scheme which can realizes stock optimizing cutting well. Practice shows it can reduce the original material consume and be propitious to improve economical gain, also cut down the environmental pollution of cutting scrap.
目前,针对国内塑料工业蓬勃发展的现状,以及工程中采用单一切割法进行传统批量生产的现状。在分析一维料排优化数学模型和线性规划技术的基础上,提出了一种一维料排方案的优化策略,可以很好地实现料排优化切割。实践表明,该方法可以减少原材料的消耗,有利于提高经济效益,也减少了切削废料对环境的污染。
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引用次数: 0
Triangular Norms on a Bounded Posets 有界偏集上的三角范数
Pub Date : 2008-12-01 DOI: 10.1109/KAMW.2008.4810415
Zhang Kun-lun, Li Dong-hai
In this presented note, triangular norms are studied in the general setting of bounded partially ordered sets(posets). The sets of idempotent elements, zero divisors and nilpotent elements associated to a t-norm are introduced and related to each other. The Archimedean of t-norms is discussed, in particular its relationship to the diagonal inequality.
本文研究了有界偏序集(poset)一般集合中的三角模。引入了与t范数相关的幂等元素、零因子和幂零元素的集合,并将它们相互联系起来。讨论了t模的阿基米德定理,特别是它与对角不等式的关系。
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引用次数: 0
Passive Vehicle Suspension System Design Using Evolutionary Algorithm 基于进化算法的被动车辆悬架系统设计
Pub Date : 2008-12-01 DOI: 10.1109/KAMW.2008.4810483
Yi-Pin Kuo, N. Pai, Jui-Sheng Lin, Ching-Yang Yang
This paper describes a methodology to determine a set of optimum nonlinear system parameters for a passive suspension system (PSS) by using the evolutionary algorithms so that the best performance of the system can be achieved. The selected fitness functions are based on the desired performance such as sprung mass acceleration, suspension deflection, and tire deflection. A dynamic step-size operator is incorporated in the evolutionary algorithm for fine-tuning the mutation process. The simulation results show that the proposed method can provide better ride comfort and road holding ability in comparison with the commonly used passive suspension system.
本文介绍了一种利用进化算法确定被动悬架系统最优非线性系统参数的方法,以使系统达到最佳性能。所选择的适应度函数是基于期望的性能,如簧载质量加速度,悬架挠度和轮胎挠度。在进化算法中引入动态步长算子对突变过程进行微调。仿真结果表明,与常用的被动悬架系统相比,该方法具有更好的平顺性和道路持稳性。
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引用次数: 2
Fuzzy Sliding-Model Control for Synchronization of an Uncertain Duffing-Holmes System 不确定Duffing-Holmes系统同步的模糊滑模控制
Pub Date : 2008-12-01 DOI: 10.1109/KAMW.2008.4810435
Chao-Lin Kuo, N. Pai, Shen-Min Liang, Su-Hau Hu
In this study, a robust algorithm with a fuzzy sliding model controller (FSMC) is used to synchronization of a Duffing-Holmes system. The robust algorithm is an output factor of the fuzzy sliding model controller. The control rules of FSMC are based on the Lyapunov stability theorem. The objective of synchronization is to study a master-and-slave system to be synchronized with both uncertainties and disturbances added in the slave system. Simulation results show the effectiveness of the proposed method.
本文将模糊滑模控制器(FSMC)用于Duffing-Holmes系统的鲁棒同步。鲁棒算法是模糊滑模控制器的一个输出因子。FSMC的控制规则基于李雅普诺夫稳定性定理。同步的目标是研究一个主从系统在不确定性和干扰同时存在的情况下进行同步。仿真结果表明了该方法的有效性。
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引用次数: 2
A Clustering Algorithm to Construct a Hierarchical Network Structure with Global Stability for Mobile Ad Hoc Networks 基于聚类算法构建具有全局稳定性的移动自组网分层网络结构
Pub Date : 2008-12-01 DOI: 10.1109/KAMW.2008.4810711
Jing Wu, Guo-chang Gu, G. Hou
In MANETs, the scalability problem has been solved by the clustering mechanism. However, current clustering algorithms consider on the network stability only in terms of some metrics affecting innercluster structure's stability, and neglect some metrics affecting intercluster structure's stability which are more favorable to global stability. To solve this problem, a clustering algorithm is proposed in this paper. It gives a comprehensive measurement on stability metrics of the innercluster structure and the intercluster structure. For a better comprehension of our algorithm, an explanatory example is given. To compare the performance of our algorithm to that of clustering algorithms with clusterheads, we simulate the structural adjusting times and network overheads during the process of the cluster formation and maintenance. The conclusion shows that our algorithm is more favorable to the stability of the global hierarchical structure and reduces network overheads a lot, which improves the global network performance.
在manet中,集群机制解决了可扩展性问题。然而,目前的聚类算法只考虑影响簇内结构稳定性的一些指标,而忽略了影响簇间结构稳定性的一些更有利于全局稳定性的指标。为了解决这一问题,本文提出了一种聚类算法。对簇内结构和簇间结构的稳定性指标进行了综合测量。为了更好地理解我们的算法,给出了一个解释性的例子。为了比较该算法与具有簇头的聚类算法的性能,我们模拟了簇形成和维护过程中的结构调整时间和网络开销。结果表明,该算法更有利于全局分层结构的稳定性,大大降低了网络开销,提高了全局网络的性能。
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引用次数: 1
Research on Improved DV-HOP Localization Algorithm Based on Weighted Least Square Method 基于加权最小二乘法的改进DV-HOP定位算法研究
Pub Date : 2008-12-01 DOI: 10.1109/KAMW.2008.4810605
Xie Chuan
Localization of sensor nodes is the foundation of the entire wireless sensor network. The article introduces the localization process of sensor nodes of DV-HOP algorithm. Based on this, it proposes an improved DV-HOP algorithm which based on weighted least square method. The new algorithm introduced a weighted method related with hops to differentiate the anchor node influence, and proposed a new method of determining location of the node. The simulation results show that the proposed improvements can greatly enhance the localization accuracy of the nodes.
传感器节点的定位是整个无线传感器网络的基础。介绍了DV-HOP算法中传感器节点的定位过程。在此基础上,提出了一种改进的基于加权最小二乘法的DV-HOP算法。该算法引入了一种与跳数相关的加权方法来区分锚节点的影响,提出了一种确定锚节点位置的新方法。仿真结果表明,所提出的改进方法可以大大提高节点的定位精度。
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引用次数: 14
LPP-HOG: A New Local Image Descriptor for Fast Human Detection LPP-HOG:一种新的快速人体检测局部图像描述子
Pub Date : 2008-12-01 DOI: 10.1109/KAMW.2008.4810570
Qing Jun Wang, Ru Bo Zhang
LPP (locality preserving projection), as a linear version of manifold learning algorithm, has attracted considerable interests in recent years. For real time applications, the response time is required to be as short as possible. In this paper, a new local image descriptor-LPP-HOG (histograms of oriented gradients) for fast human detection is presented. We employ HOG features extracted from all locations of a grid on the image as candidates of the feature vectors. LPP is applied to these HOG feature vectors to obtain the low dimensional LPP-HOG vectors. The selected LPP-HOG feature vectors are used as an input of linear SVM to classify the given input into pedestrian/non-pedestrian. We also present results showing that using these descriptors in human detection application results in increased accuracy and faster matching.
LPP (locality preserving projection)作为流形学习算法的一种线性版本,近年来引起了人们的广泛关注。对于实时应用程序,响应时间需要尽可能短。本文提出了一种新的局部图像描述符——定向梯度直方图(histograms of oriented gradients, lpp - hog)。我们使用从图像上网格的所有位置提取的HOG特征作为特征向量的候选。对这些HOG特征向量进行LPP处理,得到低维LPP-HOG向量。选取的LPP-HOG特征向量作为线性支持向量机的输入,将给定的输入分类为行人/非行人。我们还展示了在人体检测应用中使用这些描述符可以提高准确性和更快的匹配速度。
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引用次数: 28
Web 2.0 And Social Learning in a Digital Economy 数字经济中的Web 2.0和社会学习
Pub Date : 2008-12-01 DOI: 10.1109/KAMW.2008.4810691
Shaohua He, Peilin Wang
The paper provides background theory related to learning and Web 2.0 technologies and describes an innovative application of them to increase people's awareness of Web 2.0 technologies. It is to find answers for two questions: (1) is Web 2.0 technologies appropriate in supporting social learning? And (2) how Web 2.0 supports the process of social learning? Based on the four components of Boisot's SLC, the paper explores characteristics of Web 2.0 technologies and the relationship between social learning and Web 2.0 technologies, which demonstrates that Web 2.0 technologies are able to support social learning. E-learning 2.0 is the application of Web 2.0 in learning, its tenets are creating and delivering personalized, social and lifelong learning through web platforms utilizing Web 2.0 principles and technologies. Therefore, it analyzes blog and wiki resources for e-learning 2.0, ChinesePod, and collaboration systems to demonstrate how Web 2.0 technologies are shaping social learning.
本文提供了有关学习和Web 2.0技术的背景理论,并描述了它们的创新应用,以提高人们对Web 2.0技术的认识。它是为了找到两个问题的答案:(1)Web 2.0技术是否适合支持社会学习?(2) Web 2.0如何支持社会学习过程?基于Boisot SLC的四个组成部分,本文探讨了Web 2.0技术的特点以及社会学习与Web 2.0技术之间的关系,证明了Web 2.0技术能够支持社会学习。E-learning 2.0是Web 2.0在学习中的应用,其宗旨是利用Web 2.0原则和技术,通过网络平台创造和提供个性化、社会化和终身学习。因此,本文分析了电子学习2.0、ChinesePod和协作系统的博客和wiki资源,以展示Web 2.0技术如何塑造社会学习。
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引用次数: 21
期刊
2008 IEEE International Symposium on Knowledge Acquisition and Modeling Workshop
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