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2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE)最新文献

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A novel model for credit structure of Overseas Merger and Acquisition 一种新的海外并购信用结构模型
Pub Date : 2010-09-20 DOI: 10.1109/ICACTE.2010.5578958
Yikang Li, Ke Liu, Xiaoliu Shen, Z. Tan
In order to reduce the financial risks of Oversea Merger and Acquisition, and determine the best loan credit structure model for Overseas Merger and Acquisition project, a novel loans credit evaluation model of Overseas Merger and Acquisition project based on Analytic Hierarchy Process was proposed in this paper. During the implementation period of Overseas Merger and Acquisition, a comprehensive loans credit structure evaluation model of Overseas Merger and Acquisition project, which model has the weighted factors, has been established by both Analytic Hierarchy Process and risk indicators at all levels in this paper. Compared with the traditional methods, the evaluation model based on this method has better performance in reducing the overseas investment risk for bank.
为了降低海外并购的财务风险,确定海外并购项目的最佳贷款信用结构模型,提出了一种基于层次分析法的海外并购项目贷款信用评价模型。在海外并购实施期间,本文运用层次分析法和各级风险指标,建立了具有加权因子的海外并购项目贷款信用结构综合评价模型。与传统方法相比,基于该方法的评价模型在降低银行海外投资风险方面具有更好的效果。
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引用次数: 0
Virtual frequency meter 虚拟频率计
Pub Date : 2010-09-20 DOI: 10.1109/ICACTE.2010.5579711
Zhang Xiao-jun
The electronic counter could measure the frequency, period and phase difference by combining the intelligent virtual instrument technology. And expanded the measurement by using of the interpolation technology. It included hardware and software. Hardware included the MCU, PLD, signal shaping circuit. Software included man-machine interface, communications, data processing module. The frequency was up to 16MHz, and can accurately measure the signal period and phase.
电子计数器结合智能虚拟仪器技术,可以测量频率、周期和相位差。并利用插值技术扩展了测量范围。它包括硬件和软件。硬件部分包括单片机、可编程控制器、信号整形电路。软件包括人机界面、通讯、数据处理等模块。频率可达16MHz,能准确测量信号周期和相位。
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引用次数: 1
Optimal design of single-stage cylindrical spur gear reduction gearbox based on Matlab 基于Matlab的单级圆柱直齿轮减速器优化设计
Pub Date : 2010-09-20 DOI: 10.1109/ICACTE.2010.5579453
Taotao Li, Z. Zhang, Zhumin Yang, Dingfang Chen, Xiaoliang Zheng
Considering center distance and gear facewidth, establishing the optimized objective function and constraint equation of properties, while optimizing the data by utilizing the Matlab optimization tool box, it is discovered that, through analysis of the outcomes compared with the original design data, the optimized objective value has reduced by 24.77%, and the centre distance by 15%, in contrast to the initially set.
考虑中心距和齿轮面宽,建立优化后的目标函数和性能约束方程,利用Matlab优化工具箱对数据进行优化,结果与原始设计数据对比分析发现,优化后的目标值与初始设置相比降低了24.77%,中心距降低了15%。
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引用次数: 0
A faster algorithm for gene-duplication problem based on rSPR local search 基于rSPR局部搜索的快速基因复制算法
Pub Date : 2010-09-20 DOI: 10.1109/ICACTE.2010.5579138
Jian Zhang, Daming Zhu
The gene-duplication problem is to infer a species tree from a collection of gene trees. As we know, this problem is NP-hard and thus requires efficient heuristics. Existing heuristics for this problem performs a stepwise search of the tree space which consists of all potential species trees. Each step in heuristics is guided by an exact solution to an instance of local search problem. The local search problem is to find an optimal species tree in the tree space. Computing the mapping for gene trees and a species tree is a necessary step in the local search problem. In this paper, we give an improved algorithm to determine the mapping between gene trees and a species tree in the gene-duplication problem based on the rooted subtree pruning and regrafting (rSPR) operation. This algorithm eliminates some redundant calculations and is faster than former algorithms.
基因复制问题是从一组基因树中推断出一个物种树。正如我们所知,这个问题是np困难的,因此需要有效的启发式。现有的启发式算法对由所有可能的物种树组成的树空间进行逐步搜索。启发式算法的每一步都以局部搜索问题实例的精确解为指导。局部搜索问题是在树空间中找到最优的物种树。计算基因树和物种树的映射是局部搜索问题的必要步骤。本文提出了一种基于根子树修剪和再嫁接(rSPR)操作的基因复制问题中确定基因树与物种树映射关系的改进算法。该算法消除了一些冗余计算,并且比以前的算法更快。
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引用次数: 0
A sift-based method for image mosaic 一种基于筛选的图像拼接方法
Pub Date : 2010-09-20 DOI: 10.1109/ICACTE.2010.5579170
Meiqun Jiang, Jingxin Hong, Q. Liao, Shengluan Huang
This paper proposes a mosaic algorithm based on SIFT(Scale Invariant Feature Trasform). Keypoints and their descriptors are exacted by SIFT, which ensures the algorithm robust to translation, rotation, noise and scalling. Then proposed matching algorithm is used to match the keypoints. First, rough match pairs are obtained by Nearest Neighbor algorithm. Second, match rate information of the neighbor keypoints and the global information are calculated to update the match precision, so each keypoint matching rate spreads to its neighborhood, which eliminates a large number of mismatches to achieve the exact match. Third, RANSAC is applied to obtain the transformation matrix. Finally, two images are stitched by linear weighted fusion algorithm. The experiment results confirm the feasibility and improvement of our model.
提出了一种基于SIFT(Scale Invariant Feature transform)的拼接算法。通过SIFT提取关键点及其描述符,保证了算法对平移、旋转、噪声和调用的鲁棒性。然后用提出的匹配算法对关键点进行匹配。首先,采用最近邻算法获得粗糙匹配对;其次,计算相邻关键点的匹配率信息和全局信息,更新匹配精度,使每个关键点的匹配率向其邻域扩散,消除大量不匹配,实现精确匹配;第三,利用RANSAC算法得到变换矩阵。最后,采用线性加权融合算法对两幅图像进行拼接。实验结果证实了该模型的可行性和改进性。
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引用次数: 4
Application of segmentation based on optical flow for gait recognition 基于光流分割在步态识别中的应用
Pub Date : 2010-09-20 DOI: 10.1109/ICACTE.2010.5579286
Sun Xiaoying, Zhang Qiuhong, Xu Yanqun
The quality of human silhouettes has a direct effect on gait recognition performance. This paper proposes a robust gait representation scheme to suppress the influence of silhouette incompleteness. By means of dividing human body area in a video sequence into several sub-areas, representing each sub-area through an ellipse whose parameters can be calculated from the corresponding motion information extracted from optical flow field, a new body structure model called multi-linked ellipse model is established. In the recognition stage, the parameters of model are finally used to achieve gait recognition based on dynamic time warping technology. Experimental results prove the higher performance of the method.
人体轮廓的质量直接影响步态识别的性能。本文提出了一种鲁棒的步态表示方案,以抑制轮廓不完整对步态的影响。将视频序列中的人体区域划分为若干个子区域,每个子区域用椭圆表示,每个子区域的参数可由光流场中提取的相应运动信息计算得到,从而建立了一种新的人体结构模型——多链接椭圆模型。在识别阶段,最后利用模型参数实现基于动态时间规整技术的步态识别。实验结果证明了该方法具有较高的性能。
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引用次数: 4
Service-oriented personalized potal platform with QoS guarantee 具有QoS保障的面向服务的个性化门户平台
Pub Date : 2010-09-20 DOI: 10.1109/ICACTE.2010.5579384
Ge Kaikai, Zhao Wenbin, Zhang Xintong
As a new form of software, the technique and standard of web services are grown to perfection day by day. However, application of web services is restricted by complex factors such as lack of user interface and effective QoS guarantee. As a result, it hasn't been used widely, which makes it necessary to provide an excellent platform to share web services resource the common people. Furthermore, since many available web services provide overlapping or identical function, considering different Quality of Service (QoS), an effective evaluation algorithm is urgently needed to screen out the desirable one. This paper describes implementation of a service-oriented portal platform. It aims at making the public able to set up a personalized portal page, which is composed of a set of web services application. And all the services are published in the form of portlet. Furthermore, our platform is supported by an autonomously developed service coordination bus. It is equipped with an effective and objective QoS evaluation model based on Bayesian network, and enables system to coordinate the dynamical execution of services.
web服务作为一种新的软件形式,其技术和标准日益完善。然而,web服务的应用受到缺乏用户界面和有效的QoS保证等复杂因素的制约。因此,它没有得到广泛的应用,这就需要提供一个优秀的平台来共享web服务资源。此外,由于许多可用的web服务提供重叠或相同的功能,考虑到不同的服务质量(QoS),迫切需要一种有效的评估算法来筛选出理想的服务。本文描述了一个面向服务的门户平台的实现。它旨在使公众能够建立个性化的门户页面,该页面由一组web服务应用程序组成。所有的服务都以portlet的形式发布。此外,我们的平台由自主开发的服务协调总线支持。该系统具有有效、客观的基于贝叶斯网络的QoS评价模型,使系统能够协调服务的动态执行。
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引用次数: 2
Dual-tree complex wavelet analysis and its application in defect detection of workpiece for cross wedge rolling 双树复小波分析及其在楔横轧工件缺陷检测中的应用
Pub Date : 2010-09-20 DOI: 10.1109/ICACTE.2010.5579227
Zhixin Chen, Chenglin Wang, Z. Hu, Shikun Xie
Aiming to miss-detection of internal tiny flaw of workpiece for cross wedge rolling, it is proposed a new ultrasonic signal testing method based on dual-tree complex wavelet transform (DT-CWT). By constructing new dual-tree complex wavelet bases, and by taking advantage of near shift-invariance of DT-CWT, it can improve common wavelet analysis methods for ultrasonic signal testing based on real orthogonal discrete wavelet transform. Experiments indicate that the method can extract weak defect feature and its results demonstrate the validity of the proposed method.
针对楔横轧过程中工件内部微小缺陷的漏检问题,提出了一种基于双树复小波变换(DT-CWT)的超声信号检测方法。通过构造新的双树复小波基,利用DT-CWT的近移不变性,改进了基于实正交离散小波变换的超声信号检测常用小波分析方法。实验结果表明,该方法能够有效地提取弱缺陷特征,验证了该方法的有效性。
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引用次数: 1
Security of library information system under the network environment 网络环境下图书馆信息系统的安全
Pub Date : 2010-09-20 DOI: 10.1109/ICACTE.2010.5579675
Yuan Zhen
Under the network environment, security of library information system(LISS) is an important topic for all managers. This paper analyzes main categories of security of library information system and puts forward efficient means of protecting this system. The paper finally points out the significance of security of library information system.
在网络环境下,图书馆信息系统的安全是摆在所有管理者面前的重要课题。分析了图书馆信息系统安全的主要类别,提出了有效的保护措施。最后指出了图书馆信息系统安全的重要意义。
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引用次数: 2
Wireless communication reliability prediction based on Support Vector Regression 基于支持向量回归的无线通信可靠性预测
Pub Date : 2010-09-20 DOI: 10.1109/ICACTE.2010.5579094
Pan Qun, Wang Lin, Zhuang Yan-bin
The Support Vector Regression method have complete statistical learning theory basis and excellent performance on small samples. Based on the introduction of support vector regression method, the paper introduced Support Vector Machine (SVM) into wireless communication network reliability prediction. Using support vector regression method, the reliability prediction model of wireless communication network was established. Verification of actual data and comparison with BP neural network method shows that the model has feasibility and superiority in the reliability prediction of wireless communication network.
支持向量回归方法具有完备的统计学习理论基础和良好的小样本性能。在引入支持向量回归方法的基础上,将支持向量机(SVM)引入到无线通信网络可靠性预测中。采用支持向量回归方法,建立了无线通信网络可靠性预测模型。实际数据的验证以及与BP神经网络方法的比较表明,该模型在无线通信网络可靠性预测中具有可行性和优越性。
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引用次数: 1
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2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE)
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