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2010 Second International Conference on Computational Intelligence and Natural Computing最新文献

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Technique of upstream signal detection in TWACS TWACS中上游信号检测技术
Wenbing Lu, Xiaowei Bi, P. Li, Bin Hu
Traditional TWACS system can realize the uplink demodulation by judging the positive and negative of sampling modulation current's accumulation. The demodulation algorithm often uses the square wave to match, but this way is lack of anti-interference ability. In this paper, according to the uplink encoding and the difference time domain, the sampling current signal can be synthesized to a sine signal nearly. Then with the help of the complex wavelet analysis and the algorithm, the synthesis sampling value can be handled and the demodulation will be realized. The simulation and experimental results indicate that the algorithm effectively improve the performance of the traditional demodulation method.
传统TWACS系统可以通过判断采样调制电流积累的正负来实现上行解调。解调算法通常采用方波匹配,但这种方式缺乏抗干扰能力。在本文中,根据上行编码和差分时域,可以将采样电流信号合成为近似正弦信号。然后利用复小波分析和算法对合成采样值进行处理,实现信号的解调。仿真和实验结果表明,该算法有效地提高了传统解调方法的性能。
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引用次数: 1
A new image fusion algorithm based on second generation wavelet transform 基于第二代小波变换的图像融合新算法
Bin Zhang, Yongguo Zheng, Weiqi Fang, Li-min Cui
A novel image fusion algorithm based on wavelet lifting scheme is presented. The lifting scheme is a new idea of constructing wavelets and has several unique advantages over conventional convolution-based wavelet transform. It allows for an in-place implementation of wavelet transform and reduces computation time and memory requirement greatly. So in this fusion algorithm, the lifting wavelet transform is employed to decompose and reconstruct images to realize fast image fusion. Meanwhile, a new local feature-based fusion rule is put forward to improve fusion quality and extract all significant features from multi-source images. Extensive experiments on the fusion of registered SPOT Panchromatic/multi-spectral images, multi-focus digital camera images,and medical MRI/CT images have been performed. Finally, visual judgment and several objective evaluation criterions are taken as the means of assessing fusion performance. The experimental results show that the new approach is very effective and is able to fuse multi-source images.
提出了一种基于小波提升方案的图像融合算法。提升方案是一种构造小波的新思路,与传统的基于卷积的小波变换相比,具有许多独特的优点。它允许小波变换的就地实现,大大减少了计算时间和内存需求。因此,在该融合算法中,采用提升小波变换对图像进行分解和重构,实现图像的快速融合。同时,提出了一种新的基于局部特征的融合规则,以提高融合质量,并从多源图像中提取所有重要特征。对配准的SPOT全色/多光谱图像、多焦数码相机图像和医学MRI/CT图像进行了大量的融合实验。最后以视觉判断和若干客观评价标准作为评价融合性能的手段。实验结果表明,该方法能够有效地融合多源图像。
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引用次数: 2
Ontology management in cloud computing 云计算中的本体管理
Yuzhe Wei, Chen Junpeng
Cloud computing is an integrated infrastructure for resource sharing and computing in distributed environment. In this paper, we propose an ontology management approach in cloud computing to provide a unique semantic ground to consumer. Ontology application can be performed based on MapReduce computation and provided to user browser or user application.
云计算是分布式环境下资源共享和计算的集成基础设施。在本文中,我们提出了一种云计算中的本体管理方法,为消费者提供一个独特的语义基础。本体应用可以基于MapReduce计算完成,提供给用户浏览器或用户应用。
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引用次数: 1
L2-L∞ filter design for a class of neutral systems with interval time-varying delay 一类具有区间时变时滞中立型系统的L2-L∞滤波器设计
Zhijin Li, Dean Zhao, W. Xia
This paper is concerned with L2-L∞ filtering for a class of neutral systems with interval time-varying delays. The objective is to design a full order filter such that the resulting filtering error system is asymptotically stable with a prescribed L2-L∞ performance satisfied. Based on Lyapunov stability theory, a delay-dependent and rate-dependent sufficient condition for the existence of filter is obtained in terms of linear matrix inequalities (LMIs). The corresponding filter design method is also proposed, while the explicit expression for the desired filter is given. A numerical example is finally included to illustrate the effectiveness of the proposed method.
研究一类具有区间时变时滞的中立型系统的L2-L∞滤波问题。目标是设计一个全阶滤波器,使所得滤波误差系统渐近稳定,并满足规定的L2-L∞性能。基于Lyapunov稳定性理论,用线性矩阵不等式(lmi)给出了滤波器存在的时滞相关和速率相关的充分条件。提出了相应的滤波器设计方法,并给出了所需滤波器的显式表达式。最后通过一个算例说明了所提方法的有效性。
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引用次数: 1
Fatigue life analysis of a special vehicle frame based on random vibration 基于随机振动的特种车架疲劳寿命分析
Fan Qin-man, Wu Yong-hai, Luan Kun
The fatigue analysis model of vehicle frame based on random vibration theory is established according to studying a new special vehicle frame. According to the stress category of predicted points and material property, the modified fatigue curve(S-N curve) is obtained. Taking the FEA analysis results of the vehicle frame as the basis of fatigue calculation, the fatigue life and the fatigue damage of the vehicle frame are calculated using vehicle vibration theory with road spectrum, meanwhile the calculation results are also discussed. The model and the analysis method adopted in this paper also have significance to fatigue analysis and anti-fatigue design of other vehicle products.
通过对某新型特种车架的研究,建立了基于随机振动理论的车架疲劳分析模型。根据预测点的应力类别和材料性能,得到修正后的疲劳曲线(S-N曲线)。以车架有限元分析结果为疲劳计算依据,运用道路谱车辆振动理论计算车架的疲劳寿命和疲劳损伤,并对计算结果进行了讨论。本文所采用的模型和分析方法对其他汽车产品的疲劳分析和抗疲劳设计也具有一定的指导意义。
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引用次数: 1
Improved BP neural network-based back analysis of displacements 基于改进BP神经网络的位移反分析
Zhang Guihua, Ma Xianmin, C. Jing
For the problems of the complex model and the slow speed in the process of the traditional back analysis of displacements, the program of BP neural network is compiled by the M language of MATLAB and is used for the back analysis of displacements. Aimed at the disadvantage of slow convergence of the traditional BP neural network, the method of adding coordinator to neural network and the normalization method are used to quicken the network training rate. The practically measured displacements are input to the trained BP network to obtain the correspondent mechanics parameters, which are then used as the calculation parameters of the finite element calculation, and the calculated displacement values are got. The difference between the calculated displacement values by the finite element analysis and the practically measured values is very slight and the maximum error doesn't exceed 5%. It shows that the method of artificial neural network is fast in model building and calculation, brief in model structure , and high in precision etc. It can be used for back analysis of displacements in engineering.
针对传统位移反分析方法模型复杂、速度慢的问题,利用MATLAB的M语言编写了BP神经网络程序,用于位移反分析。针对传统BP神经网络收敛速度慢的缺点,采用在神经网络中加入协调器的方法和归一化方法来加快网络的训练速度。将实际测量的位移输入训练好的BP网络,得到相应的力学参数,作为有限元计算的计算参数,得到位移计算值。有限元分析计算的位移值与实际实测值相差很小,最大误差不超过5%。结果表明,人工神经网络方法具有模型建立和计算速度快、模型结构简洁、精度高等优点。它可用于工程中位移的反分析。
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引用次数: 1
Optimal switch placement in distribution networks under different conditions using improved GA 基于改进遗传算法的配电网开关配置优化
Lixing Ma, Xinhui Lv, Shouzheng Wang, H. Miyajima
This paper presents an optimization methodology for placement of switches in medium-voltage loop distribution networks. The primary objective is to minimize the total cost with consideration of achieving high distribution reliability levels. In this paper, four possible states are con-sidered and discussed, and the improved genetic algorithm is adopted to determine the optimal number and locations of sectionalizing switches and interconnection switches. The feasibility and superiority of the proposed algorithm is demonstrated by application to main feeder F1 and F2 among RBTS-BUS 5 system.
本文提出了一种中压环形配电网开关布置的优化方法。主要目标是在考虑实现高配电可靠性水平的同时,使总成本最小化。本文考虑并讨论了四种可能的状态,并采用改进的遗传算法确定分节开关和互连开关的最优数量和位置。通过在RBTS-BUS - 5系统主馈线F1和F2上的应用,验证了该算法的可行性和优越性。
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引用次数: 14
Test research for effects of the cab suspension system on heavy vehicle ride Comfort 驾驶室悬架系统对重型车辆平顺性影响的试验研究
Pang Hui, L. Hongyan, Fang Zongde, Gu Yufeng, Gao Chen
The cab suspension system plays an important role in vehicle ride performance. In order to fully assess the ride comfort characteristics of a heavy vehicle with three diff erent structures of cab suspension system, Road tests under various conditions were carried out. And the vibration characteristics of the three diff erent structures of cab suspension system using front hydraulic and rear airbag with single height valve, 4-point airbag with single height valve and 4-point airbag with double height valve control were respectively analyzed. In additional, the test data was processed in frequency domain. The results show that the ride comfort of the cab suspension system of 4-point airbag with double height valve control is better than that of the other two cab suspensions.
驾驶室悬架系统对车辆的平顺性起着重要的作用。为了充分评估三种不同驾驶室悬架结构的重型车辆的平顺性,进行了不同条件下的道路试验。并分别分析了采用单高度阀前液压后气囊、单高度阀4点气囊和双高度阀控制的4点气囊三种不同结构的驾驶室悬挂系统振动特性。另外,对试验数据进行了频域处理。结果表明,双高度气阀控制的4点气囊驾驶室悬架系统的平顺性优于其他两种悬架系统。
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引用次数: 0
Applying particle swarm optimization in multiobjective optimization and hybrid optimization 粒子群算法在多目标优化和混合优化中的应用
Jian Jiao, Xianjia Wang, Liubo Zhang
Particle swarm optimization (PSO), part of the swarm intelligence family, is known to effectively solve large-scale nonlinear optimization problems. PSO has gained widespread appeal amongst researchers and has been shown to offer good performance in a variety of application domains, with potential for hybridisation and specialisation. This paper presents a overview of the basic concepts of PSO according to continuous PSO and discrete PSO. The difference between single objective PSO and multiobjective PSO is presented. At the same time an implementation of PSO in multiobjective optimization is discussed. To overcome the limitations of PSO, hybrid optimization algorithms are proposed by many scholars. Several hybrid PSO approaches are presented in this paper.
粒子群算法(PSO)是群体智能的一种,可以有效地解决大规模的非线性优化问题。粒子群在研究人员中获得了广泛的吸引力,并在各种应用领域中表现出良好的性能,具有混合和专门化的潜力。本文从连续粒子群和离散粒子群两方面综述了粒子群的基本概念。介绍了单目标粒子群算法与多目标粒子群算法的区别。同时讨论了粒子群算法在多目标优化中的实现。为了克服粒子群算法的局限性,许多学者提出了混合优化算法。本文提出了几种混合粒子群算法。
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引用次数: 2
Online querying relational data based on closure 基于闭包在线查询关系数据
Zhuang Miao, L. Jie, Jinpeng Wang, Zhou Bo
Semantic Web has promoted researches on semantic integration of heterogeneous relational databases. Ontology-based heterogeneous relational data integration is recently attracting many diverse attentions, since most of the information is still stored in relational databases. This paper focuses on the query efficiency problem of ontology-based heterogeneous relational databases querying. To improve the query efficiency, we presented an approach for semanticbased querying of relational data. Global schema is described in RDF(S) and can be abstracted as graph. SPARQL queries over global schema are executed by graph mapping. Rounder graph of global schema is generated offline by calculating the RDFS closure of the schema. Our approach has decreased time cost of online querying and improved the efficiency.
语义Web促进了异构关系数据库的语义集成研究。基于本体论的异构关系数据集成近年来引起了人们的广泛关注,因为大多数信息仍然存储在关系数据库中。本文主要研究基于本体的异构关系数据库查询的查询效率问题。为了提高查询效率,提出了一种基于语义的关系数据查询方法。全局模式是用RDF(S)描述的,可以抽象为图。全局模式上的SPARQL查询通过图映射执行。通过计算模式的RDFS闭包,脱机生成全局模式的圆形图。该方法降低了在线查询的时间成本,提高了查询效率。
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2010 Second International Conference on Computational Intelligence and Natural Computing
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