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Mining important nodes in directed-weighted software network based on semi-global structure information

ICIC Express Letters 2015年第10期9卷 2859-2866页

作者： Ren, Jiadong Wu, Hongfei Yin, Tengteng Liu, Yang He, Haitao College of Information Science and Engineering Yanshan University No. 438 West Hebei Ave. Qinhuangdao China The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Yanshan University No. 438 West Hebei Ave. Qinhuangdao China

Software’s control flow graph can be treated as a complex software network, and a tiny fraction of key function nodes has considerable influence on the stability, reliability and robustness of the network. Identifying the top-k key nodes accurately and effectively has become an important topic in software engineering. In this paper, directedweighted function dependency network (DWFDN) is adopted to represent the function and relationship of function calling or dependency. The weight on a direct edge indicates the frequency of function calling. Weighted semi-global structure information (the weight, the relative position of a function node and the topological structure among its neighbor nodes) is taken into consideration in our approach. From the perspective of accumulating and propagating vulnerabilities, key function callers and function callees are mined respectively. Case studies on real software date show the utility of the approach. © 2015, ICIC International.

关键词： Software reliability

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An improved Wu-Huberman community discovery algorithm based on edge points

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ICIC Express Letters 2013年第11期7卷 2949-2955页

作者： Guo, Jingfeng Wang, Xiaolin Zuo, Mengfei Lv, Jiaguo College of Information Science and Engineering Yanshan University No. 438 Hebei Ave. Qinhuangdao 066004 China The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Yanshan University No. 438 Hebei Ave. Qinhuangdao 066004 China

There are two critical questions in the Wu-Huberman algorithm: one is picking two poles and the other is setting the threshold. By further studying the two questions, we present a method that makes the discovery of communities more precise and the scope of application of the algorithm wider. The method picks the edge nodes of two communities as two poles and finds the largest gap using the core nodes of communities, which can discover communities of arbitrary size instead of roughly the same size. © 2013 ISSN 1881-803X.

关键词： Poles

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An efficient Subspace Clustering Algorithm based on Attribute Relativity and DBSCAN

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ICIC Express Letters 2014年第6期8卷 1677-1682页

作者： Zeng, Qiang Bai, Yunyue He, Haitao Ren, Jiadong College of Information Science and Engineering Yanshan University No. 438 Hebei Ave. Qinhuangdao 066004 China The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Yanshan University No. 438 Hebei Ave. Qinhuangdao 066004 China

In the high-dimensional data traditional clustering algorithms tend to break down because of the curse of dimensionality, high cost of time, etc. This paper proposes a novel algorithm AReSUBCLU, an Effective Subspace Clustering Algorithm based on Attribute Relativity and DBSCAN. Active attribute is defined to reduce the dimension of data, and a subspace search tree which is constructed by attribute correlation matrix is defined to generate subspaces. Firstly, this method uses DBSCAN with the technique of weighted threshold to cluster on every active attribution. Secondly, the correlation matrix is constructed by computing the covariance of attributes. And the subspace search tree is constructed by the matrix which is used to measure the relativity of attributions. The set of nodes in each root branch of the tree is the interesting subspaces that the algorithm discovers. Finally, the subspace clusters are obtained through merging every cluster of active dimension with the usage of similarity of cluster. Evaluation with synthetic and real-world datasets demonstrates that AReSUBCLU has a good clustering quality, and capability of discovering subspace clusters of arbitrary shapes. © 2014 ISSN 1881-803X.

关键词： Clustering algorithms

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LoBa-Min-Min-SPA: Grid load balance using SPA

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Open Automation and Control systems Journal 2013年第1期5卷 87-95页

作者： Zhang, Zhongping Wen, Lijuan Wang, Zhiping College of Information Science and Engineering Yanshan University Qinhuangdao Hebei 066004 China Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Qinhuangdao Hebei 066004 China Foreign Language College of Dalian Jiaotong University Dalian Liaoning 116052 China

In the grid environment, there are a large number of grid resources scheduling algorithms. According to the existing Min-Min scheduling algorithm in uneven load, and low resource utilization rate, we put forward LoBa-Min-Min algorithm, which is based on load balance. This algorithm first used Min-Min algorithm preliminary scheduling, then according to the standard of reducing Makespan, the tasks on heavy-loaded resources would be assigned to resources that need less time to load balance, raise resource utilization rate, and achieve lesser completion time. We used benchmark of instance proposed by Braun et al. to prove feasibility and effectiveness of the algorithm. At Last, We introduced the SPA and gave the experimental results of Min-Min-SPA and LoBa-Min-Min-SPA. © Zhang et al.;Licensee Bentham Open.

关键词： Grid computing

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Real-time simulation of foam and sprays based on the Weber number

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Journal of Computational Information systems 2014年第7期10卷 2829-2836页

作者： Zhang, Lihui Zhang, Chao Li, Ying Lv, Mengya Tang, Yong The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province The College of Information Science and Engineering Yanshan University Qinhuangdao 066004 China Department of Information Engineering Environmental Management College of China Qinhuangdao 066004 China

In this paper, we propose a method based on the Weber number to uniformly model and simulate the foam and sprays generated by the fluid motion. We use the SPH to construct the fluid and calculate the Weber number of each particle. The fluid particles are divided into foam particles, transition particles and water particles by comparing their Weber number with a given critical value. These particles are rendered independently. For the solid-liquid interaction in fluid, we use SPH particles to mark the solid shape, and correct the changed solid particle position using a rotating equation. Finally, a more precise fluid surface illumination model is proposed, and the Fresnel reflection coefficient of this model can be gotten by the Snell law. Experiment results show that our method achieve real-time performance and the visual effect is desirable. © 2014 Binary Information Press.

关键词： Hydrodynamics

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RNA secondary structure prediction based on density-based clustering

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ICIC Express Letters 2015年第7期9卷 1965-1970页

作者： Wang, Changwu Wang, Xiuqin Wang, Baowen Liu, Wenyuan Wei, Zhenzhen Li, Yongqiang School of Information Science and Engineering Yanshan University No. 438 Hebei Ave Qinhuangdao China The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Yanshan University No. 438 Hebei Ave Qinhuangdao China Department of Information The First Hospital of Qinhuangdao No. 258 Hebei Ave Qinhuangdao China

The ribonucleic acid (RNA) secondary structure prediction has designed to characterize the ensemble of structures, instead of only computing the minimum free energy structure. Clustering methods are brought to aid in the characterization of the structure ensemble. These methods group the structures into a small number of clusters. A representative structure for each cluster is computed to characterize the central tendency for the structures in each cluster and used to predict the true secondary structure. This paper introduces a density based clustering with extensible radius dubbed ER-DBSCAN for handling varying density clustering. The basic idea of ER-DBSCAN is to use different values of radius for different densities. It starts from the highest density object towards the lowest density object, and the radius of the cluster is automatically adjusted during cluster expansion according to the density distribution and density variation. Our results indicate that ER-DBSCAN can detect and handle clusters of varying density, and cluster RNA secondary structures effectively. © 2015, ISSN 1881-803X.

关键词： RNA

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An efficient collision detection algorithm of convex polygons based on Minkowski sum

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ICIC Express Letters 2013年第2期7卷 461-464页

作者： Geng, Qingjia Guo, Xijuan Zhang, Jianfei Zhang, Buying The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province College of Information Science and Engineering Yanshan University No. 438 Hebei Ave. Qinhuangdao 066004 China College of Computer Hebei Normal University of Science and Technology No. 360 West Hebei St. Qinhuangdao 066004 China

Collision detection is a hot research topic in the field of path planning of mobile robot, virtual assembly simulation, and so on. Fast and accurate collision detection has become one of the most key technologies of restricting their development. The study method based on Minkowski sum is an effective method for accurate collision detection through accurate numerical calculations. This paper presents a new efficient collision detection algorithm of convex polygons based on Minkowski sum, which uses the minimum separation distance to detect whether two convex polygons collide or not. The algorithm's performance is also analyzed and verified by experiment in the paper. Compared with the traditional collision detection algorithms based on the Minkowski sum, the algorithm's calculation is simpler and execution performance is higher. © 2013 ISSN 1881-803X.

关键词： Motion planning

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Dynamic spectrum allocation scheme with real-time traffic and its performance optimization

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ICIC Express Letters, Part B: Applications 2015年第8期6卷 2243-2250页

作者： Shi, Guoying Jin, Shunfu Li, Yongqiang School of Information Science and Engineering Yanshan University No. 438 Hebei Avenue Qinhuangdao China Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Yanshan University No. 438 Hebei Avenue Qinhuangdao China The First Hospital of Qinhuangdao No. 258 Wenhua Road Qinhuangdao China

Aiming at relieving the shortage problem of wireless frequency resource, sec- ondary users in cognitive radio networks occupy the spectrum hole opportunistically. In cognitive radio networks, primary users have preemptive priority for the licensed spectrum, and the data transmission of a secondary user is possible to be interrupted by a primary user at any time. For the applications with real-time traffic, the interrupted data is supposed to be discarded by the system. A continuous time queueing model with potential transmission interruption is established accordingly. By using the Laplace transform, the performance measures, such as the average latency, the normalized throughput and the spectrum switching ratio, are presented. The individually and socially optimal strategies are investigated with a non-cooperative game theory, and then a pricing policy for the secondary users is proposed. Experimental results show that the dynamic spectrum allocation scheme with real-time traffic can be optimized socially. © 2015, ICIC International.

关键词： Laplace transforms

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Human Movement Detection and Gait Periodicity Analysis Using Channel State Information

Human Movement Detection and Gait Periodicity Analysis Using...

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International Conference on Mobile Ad-hoc and Sensor Networks, MSN

作者： Zijuan Liu Lin Wang Wenyuan Liu Binbin Li School of Information Science and Engineering Yanshan University The Key Laboratory for Computer Virtual Technology and System Integration of HeBei Province School of Economics and Management Yanshan University Qinhuangdao HeBei China

ISBN: (纸本)9781509056972

Under the influence of multipath effects and small scale fading, the robustness and reliability of the existing human detection methods based on radio frequency signals are easy to be impaired. In this paper, we propose a novel design that using the multi-layer filtering of channel state information (CSI) to identify moving targets in dynamic environments and analyze the gait periodicity of human. We employ an efficient CSI subcarrier feature difference to the multi-layer filtering method leveraging principal component analysis (PCA) and discrete wavelet transform (DWT) to eliminate the noises. Furthermore, we propose a profile matching mechanism for human detection and a periodicity analysis mechanism for human gait taking advantage of the above design. We evaluated it with the commodity Wi-Fi infrastructures in different environments. Experimental results indicate that our approach performs identification of human with an average accuracy of 94%.

关键词： Principal component analysis Wireless sensor networks Wireless communication Discrete wavelet transforms Feature extraction Wireless fidelity Object detection

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The study to eeg synchronization in alzheimer's disease based on new s estimator method

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Journal of Convergence Information technology 2012年第22期7卷 1-7页

作者： Wen, Dong Chen, Ruihong Key Laboratory for Computer Virtual Technology and System Integration of HeBei Province Yanshan University Qinhuangdao Hebei 066004 China Division of General Internal Medicine Xiantao First People's Hospital Xiantao Hubei 433000 China

Synchronization decay of resting state EEG has shown that cognitive dysfunction in Alzheimer's disease (AD) was relevant to a loss of functional connectivity in intermediate frequency bands. The new S estimator (NSE) proposed recently by us quantifies synchronization between neuronal signals at multiple *** paper meant to explore the behavior of synchronization of multichannel EEG in AD and healthy normal controls at rest, and preliminarily make clear the clinical significance of the NSE in AD *** (EEG) were recorded from 10 AD patients and 12 age-matched healthy normal controls (NC). NSE values were computed both across the all frequency band and separately in the delta, theta, alpha, beta (including beta1, beta2 and beta3), and gamma bands. The Mini-Mental Status Examination (MMSE) was used to assess the symptom severity of AD patients and *** values in the beta1 and beta2 bands were significantly lower in AD patients than in NC. NSE values in the alpha and beta1 bands were positively correlated with the MMSE scores in all participants (AD and NC). In AD patients, NSE values in the alpha, beta1 and beta2 bands were also positively correlated with MMSE *** results suggest that NSE values are a useful correlate of EEG synchronization in AD patients.

关键词： Synchronization

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