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2018 5th International Conference on Systems and Informatics (ICSAI)最新文献

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Zhang Matrix Found as an Exception with its Time-Dependent Pseudoinverse Unsolvable by Getz-Masden Dynamic System 在Getz-Masden动力系统中发现了一个例外,其时间相关的伪逆是不可解的
Pub Date : 2018-11-01 DOI: 10.1109/ICSAI.2018.8599426
Yunong Zhang, Guangyuan Shi, Jian Li, Guofu Wu, Zhiyuan Qi
Two classes of time-dependent matrices are proposed and investigated in this paper in terms of their pseudoinverses solving. On one hand, the pseudoinverse of Getz-Masden matrix can be solved by Getz-Masden dynamic system (GMDS) effectively and accurately. On the other hand, the GMDS can not solve for the pseudoinverse of Zhang matrix, as found and shown in this paper. Besides, for the purpose of obtaining the discrete-time GMDS and illustrating the phenomena, Euler forward formula and four-point ZeaD (Zhang et al discretization) formula are adopted to discretize the continuous-time GMDS. After getting the two discrete-time GMDS models, the solving situations of Getz-Masden matrix and Zhang matrix are compared.
本文提出并研究了两类时变矩阵的拟逆解。一方面,Getz-Masden动力系统(GMDS)可以有效、准确地求解Getz-Masden矩阵的伪逆;另一方面,GMDS不能解出张氏矩阵的伪逆,这在本文中得到了证明。此外,为了得到离散时间GMDS并说明现象,我们采用欧拉正演公式和四点ZeaD (Zhang等人的离散化)公式对连续时间GMDS进行离散化。在得到两种离散GMDS模型后,比较了Getz-Masden矩阵和Zhang矩阵的求解情况。
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引用次数: 3
An Improved Least Trimmed Square Hausdorff Distance Finger Vein Recognition 改进的最小裁剪正方形Hausdorff距离手指静脉识别
Pub Date : 2018-11-01 DOI: 10.1109/ICSAI.2018.8599439
Guanghua Chen, Qinghua Dai, Xiao Tang, Zihao Xu
In order to solve the problem of poor accuracy and matching speed in finger vein recognition, an improved Least Trimmed Square Hausdorff Distance (LTS-HD) finger vein recognition based on weighted matching point algorithm is proposed in this paper. The incremental neighborhood search method is used to achieve matching acceleration for Least Trimmed Square Hausdorff Distance algorithm firstly, and the optimal matching weights for different types of matching points is searched by Particle Swarm Optimization, at the same time, the particle box exclusion mechanism is applied to avoid premature convergence so as to achieve global particle optimization. On this basis, the directional matching points which can effectively characterize the vein pattern information are extracted, and the optimal weights of vein matching point is calculated after introducing the weights and model optimization. At last, the improved Least Trimmed Square Hausdorff Distance algorithm is used to achieve finger vein recognition by introducing the optimal weights. Compared with other algorithms, the results show that the proposed algorithm has a significant improvement in the objective indicators such as matching speed and accuracy.
针对手指静脉识别精度差、匹配速度慢的问题,提出了一种改进的基于加权匹配点算法的最小裁剪平方豪斯多夫距离(LTS-HD)手指静脉识别方法。首先采用增量邻域搜索法实现最小二乘Hausdorff距离算法的匹配加速,然后采用粒子群算法搜索不同类型匹配点的最优匹配权值,同时采用粒子盒排斥机制避免过早收敛,实现全局粒子优化。在此基础上,提取出能够有效表征脉网信息的方向匹配点,并引入权值和模型优化,计算出脉网匹配点的最优权值。最后,通过引入最优权值,采用改进的最小裁剪平方豪斯多夫距离算法实现手指静脉识别。结果表明,与其他算法相比,本文算法在匹配速度和匹配精度等客观指标上有显著提高。
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引用次数: 3
The Location of Partial Discharge Source in the Power Transformer with UHF Sensors 带超高频传感器的电力变压器局部放电源的定位
Pub Date : 2018-11-01 DOI: 10.1109/ICSAI.2018.8599407
Naifan Xue, Junjie Yang
This paper discusses the theory of the location of the partial discharge and carries out a PD experiment with a real power transformer. Five Ultra high frequency (UHF) sensors are used to detect the PD source. The location of the PD source can be analyzed and calculated by establishing a power transformer model and collecting the electromagnetic signals generated from the PD source. A comparison between the actual PD source and the estimated location is also made. Time difference of arrival (TDOA) of distinct signals collected by different sensors can be used to search for the PD location. Distance equations are formulated based on the geometrical relationship and the 2-norm theory. To determine the time difference, first peak method is used in the power transformer model.
本文讨论了局部放电的定位原理,并在实际电力变压器上进行了局部放电实验。使用5个UHF (Ultra high frequency)传感器检测PD源。通过建立电力变压器模型,采集PD源产生的电磁信号,可以对PD源的位置进行分析计算。对实际PD源和估计位置进行了比较。利用不同传感器采集到的不同信号的到达时间差(TDOA)来搜索PD位置。根据几何关系和二范数理论建立了距离方程。在电力变压器模型中,采用首峰法确定时间差。
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引用次数: 1
Improved Mult-bit Adaptive Quantization algorithm for Physical Layer Security based on Channel Charscteristics 基于信道特征的物理层安全改进多比特自适应量化算法
Pub Date : 2018-11-01 DOI: 10.1109/ICSAI.2018.8599367
You Wu, Haifei Xia, Chen Cheng
Wireless channel has many characteristics such as reciprocity, time variation, spatial uniqueness, etc. This paper extracted secret key from its noisy radio channel measurements at two nodes by exploiting the reciprocity of wireless channel in time division system. Therefore, the secret key could be generated with the channel estimation to overcome the drawback of the key pre-distribution mechanism. Aiming at solving the problem that the multibit adaptive quantization scheme to achieve low key generation consistency probability, the paper proposes m-windows filtering mechanism to preprocess channel eigenvalues. The simulation results show that the improved algorithm achieves higher key agreement rate and key generation rate, especially when the signal to noise ratio is low, reduce the key inconsistency rate particularly noticeable.
无线信道具有互易性、时变性、空间唯一性等特点。利用时分系统中无线信道的互易性,从两个节点的噪声无线信道测量中提取密钥。因此,可以利用信道估计来生成密钥,克服了密钥预分发机制的缺点。针对多比特自适应量化方案无法实现低密钥生成一致性概率的问题,提出了m窗滤波机制对信道特征值进行预处理。仿真结果表明,改进后的算法实现了更高的密钥一致性和密钥生成率,特别是在信噪比较低的情况下,密钥不一致性的降低尤为显著。
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引用次数: 3
An Improved Segmentation for Raw G-Band Chromosome Images 一种改进的原始g带染色体图像分割
Pub Date : 2018-11-01 DOI: 10.1109/ICSAI.2018.8599328
I. Yilmaz, Jie Yang, Emrecan Altinsoy, Lei Zhou
Karyotyping is one of the most common procedure in cytogenetics to identify and evaluate the presence of genetic defects or disorders. Developing an automatic analysis algorithm for this procedure was studied by numerous other researchers before. One of the fundamental parts of this process is the segmentation of chromosomes, which is followed by classification. Despite recent improvements in deep neural networks and image classification, high-quality segmentation is essential to achieve accurate classification results. Still, automatic segmentation and extrication of touching and overlapping chromosomes are current problems. In the light of the above, this paper is intended to present an automatic segmentation and separation of G-band human chromosomes. we have tried to present an algorithm to overcome all the difficulties such as accurate thresholding, separation of touching and overlapping chromosomes. Unlike previous studies, we are also focusing on issues that may increase the segmentation quality beyond the separation of overlapping chromosomes. In this work, we present an end-to-end segmentation of chromosome images. This process includes noise removal and rejection of unwanted objects, separating fore and background, a binary watershed approach to divide intuitively and easily detectable clusters, finding a geodesic path between chromosomes in remaining clusters and finally disentangling of overlapped and complex clusters. We also built a user interface and let a little human intervention to detect unnoticed clusters. We have tested the proposed method on 145 chromosome images that contain 6678 chromosomes and 6532 (97.8%) of them have been correctly extracted.
核型是细胞遗传学中最常用的方法之一,用于鉴定和评估遗传缺陷或疾病的存在。为这一过程开发一种自动分析算法之前已经有许多其他研究人员进行了研究。这个过程的一个基本部分是染色体的分割,然后是分类。尽管最近在深度神经网络和图像分类方面有所改进,但高质量的分割对于获得准确的分类结果至关重要。然而,自动分割和提取接触和重叠染色体是目前的问题。有鉴于此,本文拟提出一种自动分割和分离人类g带染色体的方法。我们试图提出一种算法来克服所有的困难,如准确的阈值,分离触摸和重叠染色体。与以往的研究不同,我们还将重点放在可能提高重叠染色体分离之外的分割质量的问题上。在这项工作中,我们提出了染色体图像的端到端分割。该过程包括去除噪声和拒绝不需要的对象,分离前和背景,二元分水岭方法来直观地划分和容易检测的簇,在剩余的簇中找到染色体之间的测地线路径,最后解开重叠和复杂的簇。我们还构建了一个用户界面,让一些人为干预来检测未被注意的集群。我们对145张包含6678条染色体的图像进行了测试,正确提取了6532条(97.8%)染色体。
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引用次数: 18
Dimensionality reduction via adjusting data distribution density 通过调整数据分布密度降低维数
Pub Date : 2018-11-01 DOI: 10.1109/ICSAI.2018.8599374
Wen Wang, Weiguo Shen, Yaxin Sun, Bin Chen, Rong Zhu
Dimensionality reduction is an important processing step for pattern recognition. Designing a new optimization goal is a popular method to improve the effect of the dimensionality decrease method. In this paper, we noted that the distribution density of data was not considered in the most classifiers, which may have a negative impact on the classifier. To overcome the above problem, a new optimization goal is designed under the distribution density of the data. In this optimization goal, the sample with smaller density owns larger impact for the optimization result, and then the density of sample could be adjusted to nearly the same in the low dimensional space. The experiments performed verified the proposed method in terms of classification performance.
降维是模式识别的重要处理步骤。设计新的优化目标是提高降维法效果的常用方法。在本文中,我们注意到大多数分类器没有考虑数据的分布密度,这可能会对分类器产生负面影响。为了克服上述问题,在数据分布密度下设计了新的优化目标。在该优化目标中,样本密度越小,对优化结果的影响越大,从而可以在低维空间中将样本密度调整到接近相同。实验结果验证了该方法的分类性能。
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引用次数: 1
Research and Implementation of Cross-site Scripting Defense Method Based on Moving Target Defense Technology 基于移动目标防御技术的跨站点脚本防御方法研究与实现
Pub Date : 2018-11-01 DOI: 10.1109/ICSAI.2018.8599463
Ping Chen, Han Yu, Min Zhao, Jinshuang Wang
The root cause of cross-site scripting(XSS) attack is that the JavaScript engine can’t distinguish between the JavaScript code in Web application and the JavaScript code injected by attackers. Moving Target Defense (MTD) is a novel technique that aim to defeat attacks by frequently changing the system configuration so that attackers can’t catch the status of the system. This paper describes the design and implement of a XSS defense method based on Moving Target Defense technology. This method adds a random attribute to each unsafe element in Web application to distinguish between the JavaScript code in Web application and the JavaScript code injected by attackers and uses a security check function to verify the random attribute, if there is no random attribute or the random attribute value is not correct in a HTML (Hypertext Markup Language) element, the execution of JavaScript code will be prevented. The experiment results show that the method can effectively prevent XSS attacks and have little impact on the system performance.
跨站脚本(XSS)攻击的根本原因是JavaScript引擎无法区分Web应用程序中的JavaScript代码和攻击者注入的JavaScript代码。移动目标防御(MTD)是一种新颖的技术,其目的是通过频繁改变系统配置,使攻击者无法捕获系统的状态来挫败攻击。本文介绍了一种基于移动目标防御技术的跨站防御方法的设计与实现。该方法为Web应用程序中的每个不安全元素添加一个随机属性,以区分Web应用程序中的JavaScript代码和攻击者注入的JavaScript代码,并使用安全检查功能对随机属性进行验证,如果HTML(超文本标记语言)元素中没有随机属性或随机属性值不正确,则会阻止JavaScript代码的执行。实验结果表明,该方法能有效防止XSS攻击,对系统性能影响较小。
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引用次数: 4
Low-carbon Comprehensive Benefit Analysis of Integrated Energy Service Provider Under Bundled Cooperation Mode 捆绑合作模式下综合能源服务商低碳综合效益分析
Pub Date : 2018-11-01 DOI: 10.1109/ICSAI.2018.8599333
Yang Song, Lei Wang, Xinhe Zhang, Lei Ma, Xing Li
In view of the participation of integrated energy service providers in carbon emission trading, a bundled cooperative mechanism between integrated energy service providers and control enterprises is designed. With power generation enterprises as representatives, the cost efficiency of integrated energy service providers in bundled cooperation has been analyzed. The low-carbon comprehensive benefits of integrated energy service providers are defined by emission reduction profit, and a new type energy-saving project investment decision model with the aim of maximizing low-carbon comprehensive benefits is established. The case study verifies the promotion of the increase in the planning capacity of new energy-saving projects and the improvement of the profit of integrated energy service providers by carbon value. The differences in the bundled cooperation between integrated energy service providers and different types of power generation enterprises have been analyzed.
针对综合能源服务商参与碳排放权交易的情况,设计了综合能源服务商与控制企业的捆绑合作机制。以发电企业为代表,分析了能源综合服务商在捆绑合作中的成本效率。以减排利润定义综合能源服务商的低碳综合效益,建立了以低碳综合效益最大化为目标的新型节能项目投资决策模型。案例研究验证了碳价值对新增节能项目规划能力的提高和综合能源服务商利润的提高的促进作用。分析了综合能源服务提供商与不同类型发电企业捆绑合作的差异。
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引用次数: 1
Predicting Sales Performance Based on Polarity Sentiments of Online Reviews and Manifold Dynamics Method 基于在线评论极性情绪和流形动力学方法的销售业绩预测
Pub Date : 2018-11-01 DOI: 10.1109/ICSAI.2018.8599295
Zixin Dou, Yongjun Hu, Peng Cheng, Lijuan Huang, Jiuzhen Liang, Hailian Xiao
Online reviews provide consumers with information about products and services that may affect their purchasing decisions. As such, the customer attitude in the reviews play a important role to product sales. In this study, new sentiment prediction method is presented to enhance the forecasting accuracy by utilizing review dual-sentiments and employing non- linear manifold dynamics algorithm. Not only this method can extract and separate the polarity sentiment factors from the content of each online review, but also can remove the seasonality of products and mix the different types’ data. Extensive experimental results validate the effectiveness of our proposed method.
在线评论为消费者提供了有关产品和服务的信息,这些信息可能会影响他们的购买决定。因此,顾客在评论中的态度对产品的销售起着重要的作用。本文提出了一种新的情感预测方法,利用回顾双情感和非线性流形动力学算法来提高预测精度。该方法不仅可以从每条在线评论的内容中提取和分离极性情感因素,而且可以去除产品的季节性,混合不同类型的数据。大量的实验结果验证了该方法的有效性。
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引用次数: 2
Application Research on Virtualized Desktop Technology in Private Colleges and Universities of Art and Design 虚拟桌面技术在民办艺术设计院校中的应用研究
Pub Date : 2018-11-01 DOI: 10.1109/ICSAI.2018.8599321
S. Johnson, Lirong Zhang, Jun Zheng, Yuanchen Liu, Guorui Li, X. Wu, Kaimin Shen
Desktop flexibility and security is an important requirement for the operation, management and maintenance of desktop technology in Colleges and universities, which directly reflects the quality and level of information construction in Colleges and universities. By analyzing the effectiveness of traditional desktop technology, this paper clarifies the special performance requirements of desktop technology in art and design colleges and universities, designs a desktop component centralized management mode based on virtualization technology, and constructs a virtual desktop based on FlexPod architecture using vGPU technology. Application platform. The application of this platform greatly reduces the complexity of IT management on the basis of improving desktop performance, and provides a reference model for the application of virtualized desktop technology in national art and design colleges.
桌面的灵活性和安全性是高校对桌面技术运行、管理和维护的重要要求,它直接反映了高校信息化建设的质量和水平。本文通过分析传统桌面技术的有效性,明确了艺术设计类高校对桌面技术的特殊性能要求,设计了一种基于虚拟化技术的桌面组件集中管理模式,并利用vGPU技术构建了基于FlexPod架构的虚拟桌面。应用程序平台。该平台的应用在提高桌面性能的基础上大大降低了IT管理的复杂性,为虚拟桌面技术在全国艺术设计院校的应用提供了参考模型。
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引用次数: 1
期刊
2018 5th International Conference on Systems and Informatics (ICSAI)
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