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2008 First International Conference on Intelligent Networks and Intelligent Systems最新文献

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Scheduling Uncertain Data Broadcast in Mobile Computing Environment 移动计算环境下不确定数据广播调度
Huajie Xu, Guohui Li, Jianqiang Du
With the increasing popularity of wireless sensor network and GPS technologies, uncertain data as a new type of data bring new challenge for the data processing methods. Data broadcasting is an effective means for data dissemination in mobile computing environment. Definition of the mean uncertainty ratio of data is presented and a broadcasting scheme UDBS is proposed for uncertain data dissemination. Simulation results show that UDBS can reduce the uncertainty of the broadcasted uncertain data effectively at the cost of minor increase in data access time, in the cases of single broadcast channel and multiple broadcast channels.
随着无线传感器网络和GPS技术的日益普及,不确定数据作为一种新型数据,对数据处理方法提出了新的挑战。数据广播是移动计算环境下数据传播的有效手段。给出了数据平均不确定比的定义,提出了一种用于不确定数据传播的广播方案UDBS。仿真结果表明,在单频道广播和多频道广播的情况下,UDBS可以有效地降低广播不确定数据的不确定性,而数据访问时间的增加幅度较小。
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引用次数: 0
A MAP Based Route Optimization Scheme for Mobile Networks 基于MAP的移动网络路由优化方案
Tianhan Gao, Nan Guo, Zhiliang Zhu
Network mobility (NEMO) basic support protocol (NBS) enables mobile networks to work well under Internet, but leads to pinball routing problem. A MAP based route optimization scheme (MROS) is proposed to provide route optimization and reduce mobility management overhead for mobile networks. MROS uses MAP which is a mobility management technique in HMIPv6 to construct a hierarchical mobile network, MNpsilas registration cost is reduced with regional management. Moreover, a route optimization scheme is also introduced by MROS to eliminate pinball routing with regard to NBS.
网络移动性(NEMO)基本支持协议(NBS)使移动网络能够在Internet环境下正常工作,但同时也导致了弹球路由问题。提出了一种基于MAP的路由优化方案,为移动网络提供路由优化和降低移动管理开销。MROS采用HMIPv6中的移动管理技术MAP构建分层移动网络,通过区域管理降低了MNpsilas的注册成本。此外,还引入了一种路由优化方案,以消除NBS中的弹球路由。
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引用次数: 1
Predicting the Fineness of Raw Mill Finished Products on the Basis of KPCA-SVM 基于KPCA-SVM的粗磨成品细度预测
Shu Yunxing, Yun Shiwei, Ge Bo
Combining kernel principal component analysis (KPCA) and support vector machines (SVM) in this study, we set up a KPCA-SVM model to predict the fineness of raw mill finished products. We conducted nonlinear feature extraction from the technological parameter samples of the raw mill by means of KPCA and obtained the feature principal components that are easier for regression operations. Thus, the number of input space dimensions that can lower the SVM was met. Then we conducted training by using the least squares support vector machines (LS-SVM). Finally, our computation results proved that the model proposed in this study can effectively predict the fineness of raw mill finished products.
本研究将核主成分分析(KPCA)与支持向量机(SVM)相结合,建立了核主成分-支持向量机(KPCA -SVM)模型来预测磨矿成品细度。利用KPCA对原磨机的工艺参数样本进行非线性特征提取,得到了便于回归操作的特征主成分。从而满足降低支持向量机的输入空间维数。然后利用最小二乘支持向量机(LS-SVM)进行训练。最后,计算结果表明,本文提出的模型能够有效地预测粗磨成品细度。
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引用次数: 0
An Efficient Data Source Replicas Consistency Mechanism in Global Enterprise Firms 一种有效的全球企业数据源副本一致性机制
Ching-shun Hsieh, Shao-Shin Hung, Hui-ling Lin, Chin-Hsien Tseng, Jyh-Jong Tsay
Supply chain management (GSCM) making the interactions between applications much easier, but the service delay and unstable network will block the whole business process. Replicated services are a good choice to resolve this problem. The transparency of information become increasingly important in the GSCM as a result of using caching, middleware and distributed database replication etc. technologies to improve the correctness of replicas in business operations. An efficient real-time replicas updating mechanism was proposed to maintain consistent and correct logistic and market information which was shared by all kinds of application systems in transnational enterprises. However, it is difficult for enterprise copies with local or remote original data source (ODS) object partial dependency relationships to maintain their consistency correctness and availableness. With these models, optimization of the correct copy inputs and switching time of each activity in a recursive routing are calculated to obtain the minimum total cost of the project. Finally, our results can be expanded for enterprise database replicas with correctness maintenance abilities.
供应链管理(GSCM)使应用程序之间的交互变得更加容易,但服务延迟和网络不稳定会阻碍整个业务流程。复制服务是解决这个问题的一个很好的选择。由于使用缓存、中间件和分布式数据库复制等技术来提高业务操作中副本的正确性,信息的透明度在GSCM中变得越来越重要。提出了一种高效的实时副本更新机制,以保持跨国企业各类应用系统共享的物流和市场信息的一致性和正确性。然而,具有本地或远程原始数据源(ODS)对象部分依赖关系的企业副本很难保持其一致性、正确性和可用性。利用这些模型,计算递归路径中每个活动的正确复制输入和切换时间的优化,以获得项目的最小总成本。最后,我们的结果可以扩展到具有正确性维护能力的企业数据库副本。
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引用次数: 0
Development of an Autonomous Mobile Robot with an Arm as a Teaching Material 以臂为教材的自主移动机器人的研制
S. Kurebayashi, H. Nishigaya, H. Murofushi, K. Eguchi
We describe a control board for an autonomous mobile robot with an arm as a teaching material we have developed and evaluation of it.Using our control board and programming language ldquoDolittlerdquo in technology education, we thought that students could learn systems that work with mechanics, electricity and computers through integrating manufacturing and programming. So we established a curriculum for junior high school students to learn systems we wanted to teach with an autonomous mobile robot with an arm as a teaching material. In this paper, we will report a conducted test to evaluate our lessons in a junior high school. As a result, our technology education curriculum satisfies requirements for students that have more incentive to learn the concept of systems.
我们描述了一种带有手臂的自主移动机器人的控制板,作为我们开发的教材和对它的评价。使用我们的控制板和编程语言,我们认为学生可以通过集成制造和编程来学习机械、电力和计算机的系统。所以我们为初中生建立了一个课程,让他们学习我们想要教的系统,用一个有手臂的自主移动机器人作为教材。在这篇论文中,我们将报告一个在初中进行的测试来评估我们的课程。因此,我们的技术教育课程满足了学生更有动力学习系统概念的要求。
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引用次数: 0
Snail Identification Based on Fourier Transformation 基于傅里叶变换的蜗牛识别
H. Donghong, Chen Wei, Wang Hao, Zhang Ling, Wang Ying
Based on the monitoring of satellite remote sensing images, a lot of big progresses have been made in environment analysis and researches about the Schistosome snail breeding ground and the distribution of snails in marshland. This paper focuses on the identification of the Schistosome snail individual goals. Based on the image segmentation by maximum inter-variance, the objects, including snails, are segmented from the background. The radius functions of the typical snails are calculated by scanning the boundary of the object with 8-neighborhood following method. By matching the waveform of Fourier transformation, the snail targets are identified. In the laboratory environment, the recognizing rate can reach over 90% and it has robust in rotation, scaling and translation.
在卫星遥感影像监测的基础上,对沼泽地血吸虫繁殖地和蜗牛分布的环境分析和研究取得了很大进展。本文主要对血吸虫螺的个体目标进行鉴定。基于最大内方差的图像分割方法,从背景中分割出包括蜗牛在内的目标。采用8邻域跟随法扫描目标边界,计算典型蜗牛的半径函数。通过傅里叶变换的波形匹配,识别出蜗牛目标。在实验环境下,该方法的识别率可达90%以上,具有旋转、缩放、平移等鲁棒性。
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引用次数: 0
Local 3D Map Building Based on Projection of Virtual Height Line 基于虚拟高程线投影的局部三维地图构建
Pub Date : 2008-11-01 DOI: 10.1109/APCCAS.2008.4746397
Huahua Chen, Minhui Dong
3D map building is an important task of autonomous land vehicle (ALV) for obstacle detection, path planning. Traditional methods using stereo vision usually relies on dense disparity map obtained by stereo matching, and 3D map is built based on the disparity map. Traditional methods are sensitive to mismatch pixels in disparity map, and dense stereo matching increases lots of unnecessary computation. This paper proposes a novel 3D map building method based on projection of virtual height line (VHL). Unlike traditional methods, the proposed needn't obtain the disparity map, so it reduces the computation cost and can be highly real-time. Simulation and experimental result is given to show that the built 3D map reflects the actual scene basically and meets the need of ALV navigation.
三维地图构建是自动驾驶汽车障碍物检测、路径规划的重要任务。传统的立体视觉方法通常依赖于立体匹配得到的密集视差图,并基于视差图构建三维地图。传统的方法对视差图中的不匹配像素比较敏感,密集的立体匹配增加了大量不必要的计算。提出了一种基于虚拟高程线投影的三维地图生成方法。与传统方法不同的是,该方法不需要获取视差图,降低了计算量,具有较高的实时性。仿真和实验结果表明,所建立的三维地图基本反映了实际场景,满足了自动驾驶汽车导航的需要。
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引用次数: 3
Self-Healing Key Distribution with Limited Group Membership Property 具有有限组成员属性的自修复密钥分发
Ting Yuan, Jianqing Ma, Yiping Zhong, Shiyong Zhang
Self-healing key distribution enables users in a large and dynamic group to establish session keys for secure group communication over an unreliable network. The main property of self-healing key distribution is that the users are capable of recovering lost session keys on their own, without requesting additional transmissions from the group manager. In this paper, we propose a self-healing key distribution scheme for unreliable networks with constrained bandwidth resources. Our scheme has the limited group membership property that there exists an upper bound on the number of members in the group. We show that our scheme has a better tradeoff between storage and communication overhead than some previous schemes.
自修复密钥分发使大型动态组中的用户能够建立会话密钥,以便在不可靠的网络上进行安全的组通信。自修复密钥分发的主要特性是,用户能够自行恢复丢失的会话密钥,而无需向组管理器请求额外的传输。本文针对带宽资源受限的不可靠网络,提出了一种自愈密钥分发方案。该方案具有有限组成员性质,即组成员个数存在上界。我们证明了我们的方案比以前的一些方案在存储和通信开销之间有更好的权衡。
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引用次数: 8
A Distributed Index Based Multi-Resolution Data Storage Architecture in Wireless Sensor Networks 基于分布式索引的无线传感器网络多分辨率数据存储体系结构
Liu Yan, Liu Kai, Ta Weiliang, Xu Ying
We propose a distributed index based multi-resolution storage architecture (DIMSA) for data storage and retrieval at multiple levels of detail in wireless sensor networks. The proposed scheme could automatically retrieve subsets of the data in correspondence to the user defined level of detail to save energy. In addition, DIMSA deploys attribute allocation scheme to further reduce energy consumption in the condition that some attributes are included in many events. In this condition, traditional data-centric storage schemes consumes more energy because the values for these attributes have to be replicated and stored at different places in the network for each individual event. A distributed index scheme is also proposed to avoid query flooding and extra data transmission. Analysis and simulations are conducted to evaluate the performance of the proposed scheme. The results show that DIMSA outperforms the traditional data-centric storage scheme like GHT.
提出了一种基于分布式索引的多分辨率存储架构(DIMSA),用于无线传感器网络中多层次细节的数据存储和检索。该方案可以根据用户定义的详细程度自动检索数据子集,从而节省能量。此外,DIMSA还部署了属性分配方案,在多个事件中包含某些属性的情况下,进一步降低了能耗。在这种情况下,传统的以数据为中心的存储方案消耗更多的能量,因为必须为每个单独的事件复制这些属性的值并将其存储在网络中的不同位置。为了避免查询泛滥和额外的数据传输,提出了分布式索引方案。通过分析和仿真来评估该方案的性能。结果表明,DIMSA优于传统的以数据为中心的存储方案(如GHT)。
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引用次数: 7
Target Detecting Based on Improved WVD-HT for Radio Frequency Interference to UWB-SAR 基于改进WVD-HT的超宽带sar射频干扰目标检测
Chunjian Xie, Kai Zhang, Kuisheng Feng, Chenjiang Guo, Jiadong Xu
Ultra-wideband synthetic aperture radar is interfered by ground clutter and artificial jamming. In many cases the targetpsilas scatter signal can be approximated as linear frequency modulated signals. Time-frequency Distribution, such as Winger-Ville distribution, provides a direct and effective analysis method of the time-frequency structures of linear frequency modulated signals. Meanwhile, the cross terms of the Winger-Ville distribution can be smoothed through the smoothed pseudo Winger-Ville distribution. Combine Hough transform the time-frequency concentration is improved and better precision of parameter estimation will be obtained. Target detecting and parameter estimation by the smoothed pseudo Winger-Ville distribution and Hough transform for frequency-modulated jamming are simulated in this paper. The method proved to be efficient for target detecting and parameter estimation of ultra-wideband synthetic aperture radar.
超宽带合成孔径雷达受到地杂波和人工干扰的干扰。在许多情况下,目标散射信号可以近似为线性调频信号。Winger-Ville分布等时频分布为线性调频信号的时频结构提供了一种直接有效的分析方法。同时,可以通过平滑的伪Winger-Ville分布对Winger-Ville分布的交叉项进行平滑处理。结合霍夫变换提高了时频集中,获得了较好的参数估计精度。本文对调频干扰中基于平滑伪Winger-Ville分布和Hough变换的目标检测和参数估计进行了仿真。该方法对超宽带合成孔径雷达的目标检测和参数估计是有效的。
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引用次数: 2
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2008 First International Conference on Intelligent Networks and Intelligent Systems
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