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2010 Third International Symposium on Knowledge Acquisition and Modeling最新文献

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Innovation strategies of firms in industrial clusters and role of government in knowledge service 产业集群中企业的创新战略和政府在知识服务中的作用
Pub Date : 2010-11-29 DOI: 10.1109/KAM.2010.5646236
Zhongzhi Pan, Wei Liu
Innovation strategies of firms in industrial clusters will change at different stages of the lifecycle of industrial cluster. Innovation ability and organizational forms of firms in cluster also evolve with the development of industrial clusters. Government policies and regulations contribute to cluster growth and technical innovation. But the role of government in cluster development also differs at different stages of cluster lifecycle.
产业集群内企业的创新战略会在产业集群生命周期的不同阶段发生变化。产业集群中企业的创新能力和组织形式也会随着产业集群的发展而变化。政府政策和法规有助于产业集群的发展和技术创新。但在产业集群生命周期的不同阶段,政府在产业集群发展中的作用也有所不同。
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引用次数: 0
Multiple robots data association with fault diagnosis in explosion test 多机器人数据与爆炸试验故障诊断的关联
Pub Date : 2010-11-29 DOI: 10.1109/KAM.2010.5646147
Surong Dong, H. Zhou
In ground explosion test, due to the high temperature and pressure as well as the high shock wave current, it is required to be assisted by multiple robots to collect the data and survey the dangerous environment. A method making use of robot sensors to survey the test ground environment data and tracking propagation of shock wave through mobile robots is presented. Besides, an approach of multiple sensors data association is used to track diffraction propagation of shock waves at multi-explosive points. Due to the explosion shake, the measurement devices are easy to have faults, influencing the accuracy of measurement, therefore, to make use of robots implement the fault diagnosis is another important task. An explosion tunnel measurement system is taken as an example, by setting up a fault tree to assist the fault diagnosis. In addition, the process of knowledge base building is illustrated in the example.
在地面爆炸试验中,由于高温高压和高冲击波电流,需要多个机器人辅助进行数据采集和危险环境调查。提出了一种利用机器人传感器测量试验场环境数据并跟踪冲击波在移动机器人中的传播的方法。此外,采用多传感器数据关联的方法跟踪激波在多个爆炸点的衍射传播。由于爆炸震动,测量装置容易发生故障,影响测量精度,因此,利用机器人实现故障诊断是另一项重要任务。以某爆炸隧道测量系统为例,通过建立故障树来辅助故障诊断。并通过实例说明了知识库的建立过程。
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引用次数: 0
Personalized integration of web-resources based on topic-maps 基于主题地图的网络资源个性化整合
Pub Date : 2010-11-29 DOI: 10.1109/KAM.2010.5646155
Chengling Zhao, W. Zhou, Yanqin Wu
With the development of information technology and network information resources. The integration, exchange and retrieval of web-resource has become a problem that all the web-resources service system must be resolved. While the topic-map offers a solution to the integration of a large number of web-resources. This paper introduces the topic-map that is mainly used for describing knowledge structures and techniques associated with the theoretical basis of the topic maps. It analyzes the advantages of topic-map used in integration of web-resources and constructed a topic-map based model about web-resources service system.
随着信息技术和网络信息资源的发展。网络资源的整合、交换和检索已成为所有网络资源服务系统必须解决的问题。而主题地图则为大量网络资源的整合提供了一个解决方案。本文介绍了主题图,主题图主要用于描述与主题图理论基础相关的知识结构和技术。分析了主题地图在网络资源集成中的优势,构建了基于主题地图的网络资源服务系统模型。
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引用次数: 2
Improved differential evolution based BP neural network for prediction of groundwater table 基于改进差分演化的BP神经网络地下水位预测
Pub Date : 2010-11-29 DOI: 10.1109/KAM.2010.5646232
Jihong Qu, Yuepeng Li, Juan Zhou
Groundwater table often shows complex nonlinear characteristic. Back Propagation (BP) neural network is increasingly used to predict groundwater table. However man-made selecting the structure of BP neural network has blindness and expends much time, so differential evolution (DE) algorithm was adopted to automatically search BP neural network weight matrix and threshold matrix. In order to improve the convergence of DE algorithm, a chaotic sequence based on logistic map was introduced to self-adaptively adjust mutation factor. Furthermore, a self-adapting crossover probability factor was presented to improve the population's diversity and the ability of escaping from the local optimum. Study case shows that, compared with groundwater level prediction model based on traditional BP neural network, the new prediction model based on DE and BP neural network can greatly improve the convergence speed and prediction precision.
地下水位往往表现出复杂的非线性特征。BP神经网络在地下水位预测中的应用越来越广泛。但人工选择BP神经网络结构具有盲目性,且耗时长,因此采用差分进化算法自动搜索BP神经网络权矩阵和阈值矩阵。为了提高遗传算法的收敛性,引入了一种基于逻辑映射的混沌序列自适应调整突变因子。在此基础上,提出了一种自适应交叉概率因子,以提高种群的多样性和逃离局部最优的能力。研究实例表明,与基于传统BP神经网络的地下水位预测模型相比,基于DE和BP神经网络的预测模型可以大大提高收敛速度和预测精度。
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引用次数: 1
The new way of configuration management of network devices under mutable environment 可变环境下网络设备配置管理的新方法
Pub Date : 2010-11-29 DOI: 10.1109/KAM.2010.5646314
Feng Zheng, Z. Cui
Network Environment keeps stable usually, but under some extreme cases, the network environment changes regularly. The campus network located at classrooms is a typical case. The right of classroom internet access has been changed according to curriculum schedule. Thus, the network managers have to re-configure the network devices frequently for permitting or forbidding student computers access internet. In this paper, the protocol of telnet was discussed and an idea of network devices automatic configuration based on Telnet, script language and database was prompted. The experiment program of the configuration management of network devices system based on Rujie switches was introduced in detail.
网络环境通常是稳定的,但在某些极端情况下,网络环境也会发生规律性的变化。校园网设在教室是一个典型的例子。根据课程安排,课堂上网权限发生了变化。因此,网络管理员必须经常重新配置网络设备,以允许或禁止学生计算机访问互联网。本文讨论了telnet协议,提出了一种基于telnet、脚本语言和数据库的网络设备自动配置的思想。详细介绍了基于如洁交换机的网络设备配置管理系统的实验程序。
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引用次数: 2
A Bayes-based method for trust valuation in electronic commerce 基于贝叶斯的电子商务信任评估方法
Pub Date : 2010-11-29 DOI: 10.1109/KAM.2010.5646263
Zhibing Wang, Changyun Li, Junfeng Man
With the development of the Internet, electronic commerce has shown a rapid increase, in the open dynamic Internet how to establish a complete model for trust valuation, objectively representing the credits of trading parties and improving the security of online trade, has become the key issue. To solve the problem of behavior credit in e-trade, this paper presents a trust valuation method based on the behavior pattern showed in the process of e-trade. With this method, a Bayesian model for assessment is presented, composed of nodes of behavior pattern matching levels and nodes of credibility attributes; and the grade of the consumption credit index and that of the sale credit index can be inferred. The effectiveness of this method has been verified by an actual electronic trading platform.
随着互联网的发展,电子商务呈现出快速增长的态势,在开放动态的互联网环境下,如何建立完整的信任估值模型,客观地代表交易各方的信用,提高网上交易的安全性,成为关键问题。为了解决电子交易中的行为信用问题,本文提出了一种基于电子交易过程中行为模式的信任评估方法。利用该方法,提出了由行为模式匹配层次节点和可信度属性节点组成的贝叶斯评价模型;由此可以推断出消费信用指数和销售信用指数的等级。通过实际的电子交易平台验证了该方法的有效性。
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引用次数: 1
Self-optimizing for the Structure of CMAC neural network CMAC神经网络结构的自优化
Pub Date : 2010-11-29 DOI: 10.1109/KAM.2010.5646268
Weiwei Yu, K. Madani, C. Sabourin
CMAC neural network has been widely applied on the real-time control of the nonlinear systems, such as robot control, aerocraft control and etc. However, the required memory size increases exponentially with the input dimension of CMAC, it may conduct to serious computational challenges in its on-line application. In this paper, experimental protocol is used for illustrating how the structure of CMAC influence the approximation qualities and required memory size. It is found that an optimal structure carrying the minimum modeling error could be achieved. The self-optimizing algorithm is then developed to adjust the structure of CMAC neural network in order to accomplish the minimum modeling error with minimum required memory size, without increase the structure complexness of the network.
CMAC神经网络已广泛应用于非线性系统的实时控制,如机器人控制、飞行器控制等。然而,随着CMAC输入维数的增加,所需的内存容量呈指数增长,这可能会给CMAC在线应用带来严重的计算挑战。本文采用实验协议来说明CMAC结构对近似质量和所需内存大小的影响。结果表明,该方法可以得到建模误差最小的最优结构。在不增加网络结构复杂度的前提下,利用自优化算法对CMAC神经网络的结构进行调整,使其在不增加网络结构复杂度的情况下,以最小的内存要求实现最小的建模误差。
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引用次数: 2
Study of payment scheduling optimization with generalized precedence relations in the progress payment model 进度支付模型中具有广义优先关系的支付调度优化研究
Pub Date : 2010-11-29 DOI: 10.1109/KAM.2010.5646275
Nansheng Pang, Y. Zhang, Hui-li Huang
Based on the consideration of the client and the contractor's joint project profit, a compromise thought that both the client and the contractor deviate from their respective ideal solutions by an equal percentage is proposed, an optimization model of payment scheduling with generalized precedence relations in the progress payment model is constructed. Ultimately, an example is given to demonstrate the effectiveness and practicality of the optimal model.
在考虑发包方和承包方共同的工程利润的基础上,提出了发包方和承包方偏离各自理想方案比例相等的妥协思想,构造了进度支付模型中具有广义优先关系的付款调度优化模型。最后通过实例验证了该优化模型的有效性和实用性。
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引用次数: 0
Real-time video surveillance system for piggery based on H.264 and embedded system 基于H.264和嵌入式系统的猪舍实时视频监控系统
Pub Date : 2010-11-29 DOI: 10.1109/KAM.2010.5646277
Zhu Weixing, Liu Xiangping
A real-time video surveillance system for piggery was designed to overcome the disadvantages of traditional observation methods for behavior of pigs. In this system, embedded system technology, H.264 video encoding technology and network communication technology were combined for real-time monitoring the behavior of pigs. According to directional centre-biased motion vector distribution and the characteristic that the motion in the horizontal direction is more impetuous than vertical direction in the surveillance video for piggery, thin diamond search (TDS) algorithm was proposed in this paper. The algorithm is based on thin diamond search pattern, and has the feature of fast speed while maintaining high precision of diamond search algorithm. The experimental results showed that the computation complexity and coding time of video coding are reduced in the TDS algorithm, so that the real-time performance of the surveillance video was improved significantly. This study provides a convenient way and low-cost method for remote monitoring of animal behavior. Therefore, the system has a wide application prospect in intelligent precision breeding industry.
为了克服传统猪场行为观察方法的不足,设计了猪场实时视频监控系统。本系统结合嵌入式系统技术、H.264视频编码技术和网络通信技术,实现了猪的行为实时监控。根据猪舍监控视频中运动矢量的定向中心偏置分布和水平方向运动比垂直方向运动更剧烈的特点,提出了薄菱形搜索算法(TDS)。该算法基于薄菱形搜索模式,在保持菱形搜索算法精度的同时,具有速度快的特点。实验结果表明,TDS算法降低了视频编码的计算复杂度和编码时间,从而显著提高了监控视频的实时性。本研究为动物行为的远程监测提供了一种便捷、低成本的方法。因此,该系统在智能精密养殖行业具有广阔的应用前景。
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引用次数: 0
A novel data redundancy scheme for de-duplication storage system 一种用于重复数据删除存储系统的数据冗余方案
Pub Date : 2010-11-29 DOI: 10.1109/KAM.2010.5646152
Zhou Zhengda, Zhou Jingli
As the amount of digital data growing explosively, data deduplication becomes an attractive technique for conserving the storage and network requirement. However, the tradeoff between redundancy for data availability and data duplicate elimination for storage utilization becomes an issue in the deduplication storage system. To address the issue, we proposed a novel data redundancy scheme to improve the data availability for the deduplication storage system. The key idea is to optimize the system-level availability by assigning an optimal replication degree for the individual data chunk based on its commonality in the data set. We present the design and implementation of the prototype of the high availability storage system and evaluate the feasibility and effectiveness of the optimization approach. The evaluation experiments demonstrated the approach is practical and effective.
随着数字数据量的爆炸式增长,重复数据删除成为一种有吸引力的技术,以节省存储和网络需求。但是,在重复数据删除存储系统中,需要权衡数据冗余对可用性的影响和消除数据重复对存储利用率的影响。为了解决这个问题,我们提出了一种新的数据冗余方案,以提高重复数据删除存储系统的数据可用性。关键思想是通过根据数据集中的共性为单个数据块分配最佳复制程度来优化系统级可用性。我们给出了高可用性存储系统原型的设计和实现,并评估了优化方法的可行性和有效性。评价实验证明了该方法的实用性和有效性。
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引用次数: 3
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2010 Third International Symposium on Knowledge Acquisition and Modeling
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