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2011 Fourth International Symposium on Computational Intelligence and Design最新文献

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A Particle Swarm Optimization Algorithm with Momentum Factor 一种带有动量因子的粒子群优化算法
Pub Date : 2011-10-28 DOI: 10.1109/ISCID.2011.13
Jinxia Ren, Shuai Yang
The basic particle swarm optimization algorithm updated particles velocity only by the current particles velocity, the personal best position and the excellent particle position. Considering the influence of the previous changes among the current particles velocity, in this paper, the updating formula of particles velocity was mended by appending momentum factor, an improved particle swarm optimization algorithm with momentum factor was proposed. The simulation results show that the improved algorithm has higher accuracy and quicker convergence velocity than the basic particle swarm optimization algorithm.
基本粒子群优化算法仅根据当前粒子速度、个人最佳位置和最佳粒子位置更新粒子速度。考虑到先前粒子速度变化对当前粒子速度的影响,本文通过附加动量因子对粒子速度更新公式进行修正,提出了一种改进的带有动量因子的粒子群优化算法。仿真结果表明,改进算法比基本粒子群优化算法具有更高的精度和更快的收敛速度。
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引用次数: 4
Sensor Management Based on Covariance Control Strategy for LEO Satellite Constellation 基于协方差控制策略的LEO卫星星座传感器管理
Pub Date : 2011-10-28 DOI: 10.1109/ISCID.2011.78
Bing-shan Liu, Yan Zhao, Dong-yun Yi
the problem of multi-target multi-sensor management for tracking midcourse targets using sensors located on the low-earth orbit (LEO) satellite constellation is studied. The coverage model of tracking sensor and the satellite-borne infrared sensor measurement model are reviewed. The sensor management algorithm for tracking multi-target is studied by using the covariance control strategy. The optimistic model aiming to minimize the switch of sensors during tracking period is established. Furthermore, the detailed management algorithm is presented. The numerical simulations are implemented to confirm that the proposed management algorithm is provided with the feasibility, superiority and adaptability confronted with the scenario with varying number of targets. Comparison with the algorithm based on PCRLB shows that it provides with a scheduling order which makes the sensors less relocated from the targets.
研究了利用近地轨道卫星星座传感器跟踪中段目标的多目标多传感器管理问题。综述了跟踪传感器覆盖模型和星载红外传感器测量模型。采用协方差控制策略研究了多目标跟踪的传感器管理算法。建立了以跟踪期间传感器切换次数最少为目标的乐观模型。并给出了详细的管理算法。通过数值仿真验证了所提出的管理算法在目标数量变化的情况下具有可行性、优越性和适应性。与基于PCRLB算法的比较表明,该算法提供了一种调度顺序,使传感器较少偏离目标。
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引用次数: 1
An Improved Framework of Disaster-Tolerance Oriented Adaptive Failure Detection 一种改进的容灾自适应故障检测框架
Pub Date : 2011-10-28 DOI: 10.1109/ISCID.2011.65
Xiuqing Mao, Xing-yuan Chen, Yingjie Yang, Junfeng Li
The detection of failure is a fundamental component for highly reliable systems. Taking the QoS of failure detection into consideration, a Framework of Disaster-Tolerance Oriented Adaptive Failure Detection (DTO-FDF) is presented, which adopts hierarchical modularity design and constructs the DTO-FDF and algorithm from the system view and data circulation sequence. DTO-FDF mainly includes three modules: Monitoring module, Processing module, Responding module. By monitoring and gathering the data of node, according to evaluating index and configuring policy, combining with the designed failure detection algorithm, the system judges the machine is alive or not. Based on the result of decision, the system makes the take-over response and the system migration. The framework made some benefic work for the study of failure detection module of universality and independence.
故障检测是高可靠性系统的基本组成部分。考虑到故障检测的QoS,提出了一种面向容灾的自适应故障检测框架(DTO-FDF),该框架采用分层模块化设计,从系统视图和数据循环顺序构建了DTO-FDF和算法。DTO-FDF主要包括三个模块:监控模块、处理模块、响应模块。通过对节点数据的监测和采集,根据评估指标和配置策略,结合设计的故障检测算法,判断机器是否存在。系统根据决策结果进行接管响应和系统迁移。该框架为研究具有通用性和独立性的故障检测模块做了有益的工作。
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引用次数: 0
Feather Animation Based on an Intelligence Algorithm 基于智能算法的羽毛动画
Pub Date : 2011-10-28 DOI: 10.1109/ISCID.2011.12
B. Li
A new approach for the simulation of feather based on a statistical method is presented. The feather boundary can be firstly detected according to its configuration, and then its contour shape can also be simulated on the basis of a curve-fitting technique. The components within its boundary are divided into two parts, i.e. the heavier one and the softer one. The former region may be filled with the black and white patterns depending upon the necessary information detected before. And the latter region may be represented by the two parts, i.e. the softer rachis and down. Distribution probability of the rachis curve shape is derived from the detected information so that the simulation can be realized. The softer down may be represented by the statistical method after efficiently analysis its 2D gray image information.
提出了一种基于统计方法的羽毛仿真新方法。首先根据羽毛的形态检测羽毛的边界,然后利用曲线拟合技术模拟羽毛的轮廓形状。其边界内的构件分为两部分,即较重的部分和较软的部分。根据之前检测到的必要信息,前一个区域可能被黑白图案填充。后一个区域可以由两个部分来代表,即较软的脊柱和腰部。根据检测到的信息推导出轴曲线形状的分布概率,从而实现仿真。在对其二维灰度图像信息进行有效分析后,可以用统计方法表示软绒。
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引用次数: 0
Human Activity Recognition Based on Improved Diamond Search Block-Matching Method 基于改进菱形搜索块匹配方法的人体活动识别
Pub Date : 2011-10-28 DOI: 10.1109/ISCID.2011.67
Wenjuan Qi, B. Yin, Jiaojiao Wu
A novel method to recognize human activities based on videos is proposed in this paper. These videos are captured by a camera mounted to a human body. We can estimate the activity from the changes of scenes in videos. In this paper, we use the improved diamond search block-matching method to calculate the motion vector. Then we extract key information from the motion vector filed, and design a feature descriptor to describe the motion in frames in a video which can distinguish different motions. After getting feature descriptors, we use SVM classifier to classify different motions with a machine learning method. Experimental results show that our method successfully identifies simple motion such as walking, running, going upstairs and going downstairs. And the block size and the frequency of videos have impacts on classification precision.
提出了一种基于视频的人体活动识别新方法。这些视频是由安装在人体上的摄像机拍摄的。我们可以通过视频中场景的变化来估计活动。本文采用改进的菱形搜索块匹配方法计算运动向量。然后从运动向量场中提取关键信息,并设计一个特征描述符来描述视频中帧内的运动,从而区分不同的运动。在得到特征描述符后,利用SVM分类器对不同的运动进行机器学习分类。实验结果表明,该方法能成功识别步行、跑步、上楼、下楼等简单动作。视频块大小和频次对分类精度有影响。
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引用次数: 0
Application of Improved TS Algorithm for MC-VRPTW 改进TS算法在MC-VRPTW中的应用
Pub Date : 2011-10-28 DOI: 10.1109/ISCID.2011.10
J. Ge, Xiong Ying
Based on the description of the MC-VRPTW, we construct the corresponding mathematical formulation and use the improved taboo search algorithm to solve it. Besides, the practical problem of the product oil is also simulated. We get the superior optimal distribution scheme and prove the applicability and efficiency of the proposed algorithm.
在MC-VRPTW描述的基础上,构建了相应的数学公式,并使用改进的禁忌搜索算法对其进行求解。此外,还对成品油的实际问题进行了模拟。得到了较优的分配方案,并证明了该算法的适用性和有效性。
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引用次数: 1
Ethernet-based Network Measure and Control Systems Embedded MCU 基于以太网的嵌入式单片机网络测控系统
Pub Date : 2011-10-28 DOI: 10.1109/ISCID.2011.119
Yunfeng Xu, Yan Zhang, Rui Ma
This article introduces a type of embedded MCU network measure and control system based on Ethernet, which adopts high speed MCU with kernel of 8052. Through controlling the special chip for Ethernet, the system realized the function of TCP/IP protocol. Since the system can be used as a independent system, any computer on the net can control the system or transmit order and data to the system through standard TCP/IP protocol. Equipped the system by digital temperature sensor, it can be used to measure industry field temperature and transmit the results to computer through network, and then get temperature curve. And its measure and control range are all £­10¡«£«125°C, the accuracy is ±1°C, the resolution reaches 0.1°C. This system have many advantages such as simple structure, better universal, communicating through network, flexible usage, low cost etc. It can be adapted by various of intelligent sensor and has better extend ability. It can be used in the fields of remote data acquisition, remote measurement and control and so on.
本文介绍了一种基于以太网的嵌入式单片机网络测控系统,该系统采用8052为内核的高速单片机。通过对以太网专用芯片的控制,实现了TCP/IP协议的功能。由于该系统可以作为一个独立的系统使用,因此网络上的任何一台计算机都可以通过标准的TCP/IP协议控制该系统或向该系统传输命令和数据。该系统配备数字式温度传感器,可用于工业现场温度测量,并通过网络将测量结果传输到计算机,得到温度曲线。其测控范围均为£-10 ~£- 125℃,精度为±1℃,分辨率达到0.1℃。该系统具有结构简单、通用性好、可通过网络通信、使用灵活、成本低等优点。可适应各种智能传感器,具有较好的扩展能力。它可用于远程数据采集、远程测控等领域。
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引用次数: 1
Study and Design of the Safe HIS on the Internet of Things 物联网安全HIS的研究与设计
Pub Date : 2011-10-28 DOI: 10.1109/ISCID.2011.52
Xin Bai, Hongyan Yan, Xiaojuan Zhang
In this paper, the public security techniques of the Internet of Things, including IOT-MW (Internet of Things - Middleware), encryption, decryption, secret key management, privacy homomorphism, and access control etc. especially the cryptograph query, are studied, and then the data in the HIS (Hospital Information System) are analyzed, moreover the safe HIS is designed by applying the security technologies of the Internet of Things, and it can give decision-making support to the administrator too. Finally the performance of the safe HIS is tested perfectly, so it has an extensive business prospect.
本文研究了物联网的公共安全技术,包括物联网中间件(IOT-MW)、加密、解密、密钥管理、隐私同态、访问控制等,特别是密码查询,分析了医院信息系统(HIS)中的数据,并应用物联网安全技术设计了安全的医院信息系统(HIS)。同时也可以为管理者提供决策支持。最后对安全HIS的性能进行了完善的测试,具有广泛的应用前景。
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引用次数: 5
Binocular Vision System Design and its Active Object Tracking 双目视觉系统设计及其主动目标跟踪
Pub Date : 2011-10-28 DOI: 10.1109/ISCID.2011.77
Longfei Tian, Licheng Wu, Yan Wang, Guosheng Yang
A binocular vision system having the ability of actively tracking moving objects is designed and implemented. Management software is also developed for further study. Then the crucial technologies concerned with active tracking of one moving object by such a binocular system have been studied. The general architecture is firstly analyzed, and then the realization of target detection and tracking algorithm is given. Finally, a complete corresponding mechanism in the tracking process for the two cameras in case that they track different targets is proposed and discussed.
设计并实现了一种具有主动跟踪运动物体能力的双目视觉系统。并开发了管理软件进行进一步研究。在此基础上,对双目系统主动跟踪运动目标的关键技术进行了研究。首先分析了系统的总体结构,然后给出了目标检测与跟踪算法的实现。最后,提出并讨论了两台摄像机在跟踪不同目标时的完整的跟踪机制。
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引用次数: 1
Multivarible Symbolic Regression Based on Gene Expression Programming 基于基因表达式编程的多变量符号回归
Pub Date : 2011-10-28 DOI: 10.1109/ISCID.2011.177
Ming-fang Zhu, Jian-bin Zhang, Yan-ling Ren, Yu Pan, Guanghui Zhu
This paper presents a method for multivarible symbolic regression modeling and predicting. The method based on gene expression programming, a recently proposed evolutionary computation technique. We explain in details the techniques of gene expression programming and multivarible symbolic regression with gene expression programming. Furthermore, we give an example to explain this technique, and experiment results show that the model set up by gene expression programming is better than statistiacal linear regression techniques.
本文提出了一种多变量符号回归建模与预测方法。该方法基于最近提出的一种进化计算技术——基因表达式编程。详细介绍了基因表达式编程和多变量符号回归技术。实验结果表明,利用基因表达式编程建立的模型优于统计线性回归技术。
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引用次数: 1
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2011 Fourth International Symposium on Computational Intelligence and Design
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