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2nd International Conference on Materials, Transportation and Environmental engineering, CMTEE 2014

作者： Chang, Long Shi, Lin Information Engineering and Automation School Kunming University of Science and Technology China Yunnan Provincical Computer Application Key Laboratory Kunming University of Science and Technology China

ISBN: (纸本)9783038352488

This paper mainly focused on 0/1 knapsack problems based on the genetic algorithm (GA). According to characteristics of the individual independence in GA, a parallel segmentation method was presented using the OpenCL technology in resolving the 0/1 knapsack problems. Moreover, the local memory was partially optimized in the statistical operation of GA. Experiment results in comparing serial and parallel algorithm implementations showed that the parallel algorithm implementation was operative and the execution time of the parallel algorithm implementation increased linearly according to the increment of problem scale. By comparing the execution time of implementations on CPU and GPU under various individuals and iterations conditions, the effects on CPU and GPU of this method were also analyzed. © (2014) Trans Tech Publications, Switzerland.

关键词： Genetic algorithms

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Integration of rule based and case based reasoning system to support decision making

Integration of rule based and case based reasoning system to...

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2014 International Conference on Issues and Challenges in Intelligent Computing Techniques, ICICT 2014

作者： Verma, Luxmi Srinivasan, S. Sapra, Varun School of Computerand Engineering ITM University Gurgaon India Department of Computer Application PDM College of Engineering Bahadurgarh India Department of Computer Science Jagannath Institute of Management Studies New Delhi India

ISBN: (纸本)9781479928996

Augmented by rule based reasoning and data mining method, case-based reasoning (CBR) has emerged as a major research area because CBR is not only a psychological theory for human knowledge, but also will be a new comer stone of the intelligent computer system technology. This paper focuses on the coalition between the research areas of Data Mining, CBR System and decision support systems (DSSs). A conceptual framework model for DSSs based on Data mining and CBR is elaborated here. The model consists of a knowledge base, case base reasoning and data mining subsystems. For our research we chose knowledge driven model because the model has capacity to self-learn, identify association between data, classifying and clustering of the data based on the characteristics, suggest recommended actions to users, all these factors incorporate intelligence into the system thus increasing the capacity of problem solving and improve suggestion accuracy. © 2014 IEEE.

关键词： Data mining

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People counting based on the analysis of the mass

People counting based on the analysis of the mass

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作者： Li, Tao Li, Dong Mei Huang, Ren Jie Zhao, Xue Zhuan The School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu 611731 China The Department of Information Engineering HeNan Radio and Television University Zhengzhou 450008 China Chengdu institute of computer application Chinese academy of science Chengdu 610041 China

ISBN: (纸本)9783038351221

In order to improve the accuracy of people counting in video surveillance, the method for people counting based on the analysis of the mass is proposed. The novel algorithm of objects tracking is designed to aim at people counting, and the people counting model is obtained by training a support vector machine (SVM) classifier with the input of the feature of mass. The experimental results show that the accuracy of counting is over 93%. © (2014) Trans Tech Publications, Switzerland.

关键词： Support vector machines

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Survivability evaluation of network combat system based on gray theory

Survivability evaluation of network combat system based on g...

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26th Chinese Control and Decision Conference, CCDC 2014

作者： Wang, Kaiyun He, Huang Peng, Jia Ying, Luo Hong, Jang Institute of Computer Application China Academy of Engineering Physics Mianyang Sichuan 621900 China College of Information Engineering Southwest University of Science and Technology Mianyang 621010 China

ISBN: (纸本)9781479937066

Survivability is an important guarantee of the combat system under network combat environment. To appraise a system properly, it's necessary to establish a valid method for evaluating the survivability. According to the characteristics of network war system, this paper studies the primary factors which have important influence on the survivability of such a system, and then abstracts these metrics to three layers, including the goal layer, the intermediate layer and the index layer. Furthermore, with the AHP (Analytic Hierarchy Process ) and gray theory, this paper proposes a way to evaluate this kind of system's survivability. As a result, some suggestions are given out to improve the system performance. In the end, we verify the validity of the method through an example. © 2014 IEEE.

关键词： Hierarchical systems

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Knowing minimum mobile device delivery context to maintain standard for m-learning in university scenario 2

Knowing minimum mobile device delivery context to maintain s...

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2014 2nd International Conference on Business and Information Management, ICBIM 2014

作者： Pal, Saurabh Choudhury, Prasenjit Mukherjee, Srabasti Nandi, Subrata Dept. of CSE IT Bengal Institute of Technology Kolkata India Dept. of Computer Application National Institute of Technology Durgapur India Dept. of Computer Application Bengal Institute of Technology Kolkata India Dept. of Computer Science and Engineering National Institute of Technology Durgapur India

ISBN: (纸本)9781479932641

Mobile devices are completely heterogonous in respect to hardware and software, thus adaptation of e-learning content is necessary for supporting the contents to get fit into as per the mobile device suitability. Knowing the various attributes and capability information of a mobile device is necessary for proper content adaptation. As there are hundreds of information which can be known about a mobile device, choosing the proper ones are absolutely necessary as per the application requirement. The present paper provides the various techniques by which information regarding a mobile device can be known and the minimum information of which is needed for content adaptation in a mobie based learning or m-learning application in a University Campus scenario with maintaining standards. © 2014 IEEE.

关键词： E-learning

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Evolution of isolated G-band bright points: size, intensity and velocity

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Research in Astronomy and Astrophysics 2014年第6期14卷 741-752页

作者： Yun-Fei Yang Jia-Ben Lin Song Feng Kai-Fan Ji Hui Deng Feng Wang Faculty of Information Engineering and Automation/Yunnan Key Laboratory of Computer Technology Application Kunming University of Science and Technology Key Laboratory of Solar Activity National Astronomical Observatories Chinese Academy of Sciences Key Laboratory of Modern Astronomy and Astrophysics Nanjing University Ministry of Education

We study the evolution pattern of isolated G-band bright points （GBPs） in terms of their size, intensity and velocity. Using a high resolution image sequence taken with the Hinode/Solar Optical Telescope （SOT）, we detect GBPs in each image by the Laplacian and Morphological Dilation algorithm, and track their evolutions by a 26-adjacent method in a three-dimensional space-time cube. For quantifying the evolution, we propose a quantification method based on lifetime normalization which aligns the different lifetimes to common stages. The quantification results show that, on average, the diameter of isolated GBPs changes from 166 to 173 km, then down to 165 km; the maximum intensity contrast changes from 1.012 to 1.027, then down to 1.011; however, the velocity changes from 1.709 to 1.593 km s-1, then up to 1.703 km s-i. The results indicate that the evolution follows a pattern such that the GBP is small, faint and fast-moving at the birth stage, becomes big, bright and slow-moving at the middle stage, then gets small, faint and fast-moving at the decay stage until disappearance. Although the differences are very small, a two-sample t-test is used to demonstrate there are significant differences in means between the distri- butions of the different stages. Furthermore, we quantify the relationship between the lifetimes of GBPs and their properties. It is found that there are positive correlations between the lifetimes and their sizes and intensities with correlation coefficients of 0.83 and 0.65, respectively; however, there is a negative correlation between the life- times and velocities with a correlation coefficient of-0.49. In summary, the longer the GBP persists, the bigger, brighter and slower it will be.

关键词： techniques： image processing -- Sun： photosphere -- methods： dataanalysis -- methods： statistical

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Research in video detection of lane curve and its application in speed alert system

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Research Journal of Applied sciences, engineering and Technology 2014年第5期7卷 957-962页

作者： Song, Maliang Liu, Xiaoyan Faculty of Information Engineering and Automation Kunming University of Science and Technology Yunnan Province 650500 China Yunnan Provincial Key Laboratory of Computer Application Technology Yunnan Province 650500 China

That vehicles travel on a curve with excessive speed tends to skid or roll over. This study presents research in video recognition technology of lane and its application in traffic early safety alert system, which improves traffic safety. In our study, we use a monocular camera to acquire the image of the road ahead. Techniques such as gray-scale transformation, filtering, edge detection and curve fitting are used for the recognition of the lane line and curve fitting. Then radius of curvature of the road ahead will be extracted and then the maximum safe speed, which is to be compared with the speed of the vehicle in safety alert system. Experiments show that this method can accurately calculate the radius of the curve ahead and timely give alert message when the vehicle's speed exceeds safe speed. © Maxwell Scientific Organization, 2014.

关键词： computer image processing Coordinate transform Monocular vision Speed alert

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Analyses of QoS-based Relay Deployment in 4G LTE-A Wireless Mobile Relay Networks

Analyses of QoS-based Relay Deployment in 4G LTE-A Wireless ...

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Asia-Pacific Conference on Communications

作者： Ben-Jye Chang Ying-Hsin Liang Shin-Shun Su department of Computer Science and Information Engineering National Yunlin University of Science and Technology Taiwan ROC. department of Multimedia Animation and Application Nankai University of Technology Taiwan ROC. department of Computer Science and Information Engineering Chaoyang University of Technology Taiwan ROC.

ISBN: (纸本)9781467366533

In 4G cellular networks: LTE/LTE-Advanced and the mobile WiMAX network, some key impact factors degrade signal transmission quality and reduce wireless service coverage significantly. The specifications of LTE-Advanced and IEEE 802.16j thus propose a relay-based scheme, namely Mobile Multihop Relay (MMR) networks, to cooperate with the existing cellular network and to guarantee QoS for requests while not obviously increasing the Relay Station (RS) deployment cost. To efficiently deploy different types of RSs becomes a critical issue. Thus, this paper first analyzes the impact factors: transmission quality, deployment price, service coverage and RS overlap index, and then models the cost-effective issue of the RS deployment as an optimization problem. The paper proposes an Adaptive Cost-based RS Deployment (ACRD) approach to form a cost function in terms of all impact factors, and then solves the optimization problem by determining the RS deployment with the least network cost as the solution. Numerical results demonstrate that ACRD outperforms the compared approaches in network cost, transmission quality, RS deployment price, service coverage, and RS overlap index. ACRD deploys more RSs on the areas with high-density populations and thus increases transmission quality and guarantees the quality of service (QoS).

关键词： Mobile multihop relay LTE-Advanced QoS RS deployment adaptive cost function

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Sensor data abstraction using flexible layered slope grid

International Journal of Control and Automation

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International Journal of Control and Automation 2014年第2期7卷 109-118页

作者： Jung, Young Jin Jeong, Seon-Phil Shin, Moon Sun Choi, Hyunmi Agency for Defense Development Korea Republic of Division of Technology and Science BNU-HKBU United International College China Dept. of Computer Engineering Konkuk University Korea Republic of Dept. of Advanced Application Environment Development KISTI Korea Republic of

An environmental monitoring application is designed to monitor and track various kinds of environmental phenomena such as water pollution and global warming. By collecting detected sensor data from the sensors installed at a target place, a monitoring system analyzes and predicts an environmental change. For smoothly answering a user query, a data abstraction model is designed to rapidly process an amount of sensor data by employing data filtering, data aggregation, and data summarization. In order to dynamically represent the different layer of sensor data in a region, we design FLSA (Flexible Layered Sensor Data Abstraction), which supports a flexible layer of SGSA (Slope Grid for Sensor Data Abstraction). When the sensor data is transmitted to a server, FLSA make some clusters to shows several layer of sensor data depending on sensor data gradient. Each cell of FLSA hasa set of SGSA to represent each sensor data layer in the cell. This layered SGSA of FLSA is useful to represent a distributed sensor data in a cell. When an abstraction model is used to environmental monitoring, there is a trade-off between faster data processing anddata representation. FLSA focuses on data representation to show detailed condition of a target place. © 2014 SERSC.

关键词： Water pollution

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An unsupervised model for classification and recognition of household appliances

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Journal of Computational Information Systems 2014年第1期10卷 403-410页

作者： Liu, Li Ding, Jiaman Zhong, Jiayu Fu, Xiaodong Lv, Yang Yunnan Provincial Key Laboratory of Computer Technology Application Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming 650500 China State-Province Joint Laboratory of Digital Home Interactive Applications School of Information Science and Technology Sun Yat-Sen University Guangzhou 510006 China

Detecting and monitoring the numerous household appliances in smart home is significant for home energy management, because the large various household appliances are complicated to identify and control. This paper proposes an intelligent unsupervised model for the classification and recognition of household appliances. The key idea in this work is to integrate appliance and activity recognition mechanism for effective management and operation within a domestic location. We first present the corresponding classification list of household appliances w. r. t their respective usage patterns and basic power factors. Then, the communication services among various appliances are established to recognize complex appliances and monitor the variation of their states. Finally, the proposed method is applicable for an inexpensive, unsupervised controlling of electrical appliances in a real-time way. Experimental results show that our method effectively provides a financially viable and easily applicable solution for gathering information and monitoring status of diverse household appliances. Copyright © 2014 Binary Information Press.

关键词： Domestic appliances

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