检索结果-内蒙古大学图书馆

Generalized collaboration networks in software systems: a case study of Linux kernels

中国高等学校学术文摘·计算机科学 2009年第3期3卷 421-426页

作者： Shiwen SUN Chengyi XIA Zhenhai CHEN Junqing SUN Zengqiang CHEN Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology Tianjin 300191 China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300191 66366th Troops PLA Tangshan 064100 China Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology Tianjin 300191 ChinaKey Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin 300191 C Department of Automation Nankai University Tianjin 300071 China

The collaboration relationships between header files in the source code of Linux kernels are analyzed by constructing a weighted Header File Collaboration Network (HFCN): each node represents a header file; two nodes are connected if corresponding header files are both included in the same source file at least once; also the link weight is assigned to evaluate the intensity of co-inclusion of two header files. Through using appropriate non-weighted and weighted quantities, structural properties of two kinds of HFCN networks(HFCN-Ⅰ and HFCN-Ⅱ) are characterized and analyzed. The study of Linux kernels from the view-point of complex networks can provide a better description of the organizational principles and evolving mechanism of complex software systems.

关键词： complex network generalized collaboration network Linux kernel header file collaboration network (HFCN) topological properties weighted quantities

来源：评论

学校读者我要写书评

暂无评论

An Improved Fitness Evaluation Mechanism with Memory in Spatial Prisoner's Dilemma Game on Regular Lattices

引用

Communications in Theoretical Physics 2013年第3期59卷 257-262页

作者：王娟刘丽娜董恩增王莉 Tianjin Key Laboratory for Control Theory and Complicated Industry Systems Tianjin University of Technology School of Electrical and Electronic Engineering Tianjin University of Technology Key Laboratory of Computer Vision and System(Ministry of Education) Tianjin University of Technology

To deeply understand the emergence of cooperation in natural,social and economical systems,we present an improved fitness evaluation mechanism with memory in spatial prisoner's dilemma game on regular *** our model,the individual fitness is not only determined by the payoff in the current game round,but also by the payoffs in previous round bins.A tunable parameter,termed as the memory strength(μ),which lies between 0 and 1,is introduced into the model to regulate the ratio of payoffs of current and previous game rounds in the individual fitness *** μ = 0,our model is reduced to the standard prisoner's dilemma game;while μ = 1 represents the case in which the payoff is totally determined by the initial strategies and thus it is far from the realistic *** numerical simulations indicate that the memory effect can substantially promote the evolution of *** μ < 1,the stronger the memory effect,the higher the cooperation level,but μ = 1 leads to a pathological state of cooperation,but can partially enhance the cooperation in the very large temptation *** current results are of great significance for us to account for the role of memory effect during the evolution of cooperation among selfish players.

关键词： Prisoner's dilemma game fitness evaluation memory effect regular lattice

来源：评论

学校读者我要写书评

暂无评论

Data Secure Transmission Model Based on Compressed Sensing and Digital Watermarking Technology

引用

Wuhan University Journal of Natural Sciences 2014年第6期19卷 505-511页

作者： WANG Chundong BAI Yi MO Xiuliang Key Laboratory of Computer Vision and System Ministry of Education/Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology

Since the Internet of Things（IoT） secret information is easy to leak in data transfer,a data secure transmission model based on compressed sensing（CS） and digital watermarking technology is proposed here. Firstly, for node coding end, the digital watermarking technology is used to embed secret information in the conventional data carrier. Secondly, these data are reused to build the target transfer data by the CS algorithm which are called observed signals. Thirdly, these signals are transmitted to the base station through the wireless channel. After obtaining these observed signals, the decoder reconstructs the data carrier containing privacy information. Finally, the privacy information is obtained by digital watermark extraction algorithm to achieve the secret transmission of signals. By adopting the watermarking and compression sensing to hide secret information in the end of node code, the algorithm complexity and energy consumption are reduced. Meanwhile, the security of secret information is *** simulation results show that the method is able to accurately reconstruct the original signal and the energy consumption of the sensor node is also reduced significantly in consideration of the packet loss.

关键词： the Internet of Things(IoT) data security com pressed sensing(CS) digital watermarking information privacy

来源：评论

学校读者我要写书评

暂无评论

International Journal of Digital Content Technology and its ...

引用

International Journal of Digital Content Technology and its Applications 2012年第1期6卷 439-445页

作者： Zhang, Hua Wang, Xiaoye Xiao, Yingyuan Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology 300191 Tianjin China Key Laboratory of Computer Vision and System Tianjin University of Technology 300191 Tianjin China

Traffic flow information has the space-time correlation property. So we need to analyze similarity not only on time, but also on space. The previous similarity studies are less concern the space of the traffic flow information. In this paper we consider distance factor when calculating similarity and finally represent a standard formula to calculate the similarity. The experiment results illuminate that this method can well reflect the similarity of traffic flow between urban crossings, and similarity is inversely proportional to distance.

关键词： Traffic control

来源：评论

学校读者我要写书评

暂无评论

Identification of image-spam based on SIFT image matching algorithm

引用

Journal of Information and Computational Science 2010年第14期7卷 3153-3160页

作者： Wang, Chundong Yang, Hua Chen, Yinghui Sun, Li Zhou, Yan Wang, Huaibin Key Laboratory of Computer Vision and System Tianjin University of Technology Tianjin 300191 China Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology Tianjin 300191 China

In the paper, a method is proposed for efficient identification of Image-spam using the simplified Scale Invariant Feature Transform (SIFT) algorithm. It firstly strengthens the feature of image-spam email picture by Symmetric Neighborhood Filters(SNF). In addition, we improved the SIFT algorithm by reducing the dimensions of feature vectors from 128 to 40, which can obviously save the time cost of identifying a regular E-mail or a spam image-based E-mail. And the method is demonstrated successfully by simulation experiment based MATLAB7.0 for its high accuracy and rapid speed in detection. Copyright © 2010 Binary Information Press.

关键词： Electronic mail

来源：评论

学校读者我要写书评

暂无评论

Noncoherent detection of satellite-based AIS signal with phase offset compensation

引用

Sensors and Transducers 2014年第3期166卷 128-134页

作者： Ma, Shexiang Fang, Ting Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin China Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology Tianjin China

Considering the existence of large Doppler frequency shift, fast time-varying channels and multiple user interference and other serious problems in the satellite-based AIS system, a noncoherent detection method called phase adaptive algorithm is proposed. For AIS signals, utilizing the characteristic of the energy distribution under the Laurent decomposition of PAM waveform, matched filter is evaluated without whitening filter on the main component. This can effectively avoid the influence of the correlation length on the performance of detection. And the complexity of the system is significantly reduced. The cost function of decoding is given based on maximum likelihood criterion in the algorithm. Multiple symbols as the observation window are decoded at the same time. Meanwhile, phase adaptive compensation is employed in the decoding process. Simulation results show that this method has good detection performance. The BER is close to the ideal coherent detection when the size of observation window is 10 symbols, and is superior to the traditional differential decoding. At the same time, the algorithm has a higher robust and is also applicable to the conditions of multiple user co-channel interference. © 2014 IFSA Publishing, S. L.

关键词： Satellites

来源：评论

学校读者我要写书评

暂无评论

Research of feature selection and comparison in AdaBoost based object detection system

引用

Journal of Computational Information systems 2013年第22期9卷 8947-8954页

作者： Ju, Yucui Zhang, Hua Xue, Yanbing Key Laboratory of Computer Vision and System Tianjin University of Technology Tianjin 300191 China Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology Tianjin 300191 China

Selecting appropriate features for object representation to get high detection rate is quite challenging in object detection system. AdaBoost based object detection framework proposed by Viola and Jones is a milestone in object detection area. The problem of their work is high false alarm rate in complicated environment. To solve this problem, in this paper, HAAR features, MB-LBP features and HOG features are selected to be used in AdaBoost algorithm to compare the result of different features. We propose the ways to construct the weak classifier of MB-LBP and HOG features, so that the two features can apply to AdaBoost algorithm. We do experiments on indoor landmark detection which have different illumination and shape deformation caused by different views. Experiment shows that HAAR features have a higher detection rate and a higher false alarm rate, MB-LBP features can obtain a lower false alarm rate and a lower detection rate and HOG features can not only have high detection rate but also a lower false alarm rate. © 2013 Binary Information Press.

关键词： Adaptive boosting

来源：评论

学校读者我要写书评

暂无评论

Situation assessment of network security based on T-S fuzzy neural network

引用

Journal of Computational Information systems 2015年第16期11卷 5999-6006页

作者： Wang, Chundong Yue, Li Du, Chenyang Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin China Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology Tianjin China

A network security situation assessment model based on T-S fuzzy neural network was proposed in this paper. In the model the whole situation of the network has four child situations: threat situation, fragile situation, stable situation and disaster situation. Then the threat situation assessment was taken as an example to describe T-S fuzzy neural network modeling and learning algorithm in detail. Finally, the analytic hierarchy process (AHP) was used to decide the relative weight of each child situation. After fusing the results of the four child situations, we could get the whole situation of the network. It proves that the method is feasible and effective by building a simulation attack experiment. The situation assessment method in this paper not only fully considers the situational factors of network but also evaluates the network situation reasonably. © 2015 by Binary Information Press

关键词： Analytic hierarchy process

来源：评论

学校读者我要写书评

暂无评论

Data streams classification method handling concept drifts

引用

Journal of Information and Computational Science 2014年第15期11卷 5427-5435页

作者： Wang, Xiaoye Hao, Yapei Zhang, Tao Chen, Bingjie Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology Tianjin China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin China

This paper presented a classification algorithm which could find the concept drifts from the data streams, called Incremental Updated Discriminant Eigenspace (IUDE). The algorithm constructs the eigenspace model of the data streams based on the algorithm of LDA (linear discriminant analysis). It handles the Gradual Concept Drifts by incremental update the Discriminant eigenspace. And at the same times, it uses the Mean Square Error (MSE) to handle the Abrupt Concept Drifts. The 1-nearest neighbour (1-NN) method classifies the new data streams. The experiment result shows that it is better flexibility over concept drifts than traditional approaches. Copyright © 2014 Binary Information Press.

关键词： Mean square error

来源：评论

学校读者我要写书评

暂无评论

Effect of Growing Size of Interaction Neighbors on the Evolution of Cooperation in Spatial Snowdrift Game

引用

Communications in Theoretical Physics 2012年第4期57卷 541-546页

作者：张娟娟王娟孙世温王莉王震夏承遗 Key Laboratory of Computer Vision and System(Ministry of Education)and Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology School of Automation Tianjin University of Technology School of Software Technology Dalian University of Technology

In this paper,we study the influence of the size of interaction neighbors(k) on the evolution of cooperation in the spatial snowdrift *** first,we consider the effects of noise K and cost-to-benefit ratio r,the simulation results indicate that the evolution of cooperation depends on the combined action of noise and cost-to-benefit *** a lower r,the cooperators are multitudinous and the cooperation frequency ultimately increases to 1 as the increase of ***,for a higher r,the defectors account for the majority of the game and dominate the game if the noise is large *** we mainly investigate how k influences the evolution of cooperation by varying the noise in *** find that the frequency of cooperators is closely related to the size of neighborhood and cost-to-benefit ratio *** the case of lower r,the augmentation of k plays no positive role in promoting the cooperation as compared with that of k = 4,while for higher r the cooperation is improved for a growing size of *** last,based on the above discussions,we explore the cluster-forming mechanism among the *** current results are beneficial to further understand the evolution of cooperation in many natural,social and biological systems.

关键词： spatial snowdrift game interaction neighborhood emergence of cooperation regular lattice

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：