The factors that threaten electric power information network are analyzed. Aiming at the weakness of being unable to provide numerical value of risk, this paper presents the evaluation index system, the evaluation model and method of network security based on multilevel fuzzy comprehensive judgment. The steps and method of security evaluation by the synthesis evaluation model are provided. The results show that this method is effective to evaluate the risk of electric power information network.
{"title":"Research of security risk in electric power information network","authors":"Feng Li, Jia Chen, Fei Shu, Jianye Zhang, Song Qing, Wenbin Guo","doi":"10.1109/ICCSNT.2017.8343719","DOIUrl":"https://doi.org/10.1109/ICCSNT.2017.8343719","url":null,"abstract":"The factors that threaten electric power information network are analyzed. Aiming at the weakness of being unable to provide numerical value of risk, this paper presents the evaluation index system, the evaluation model and method of network security based on multilevel fuzzy comprehensive judgment. The steps and method of security evaluation by the synthesis evaluation model are provided. The results show that this method is effective to evaluate the risk of electric power information network.","PeriodicalId":163433,"journal":{"name":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121036982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICCSNT.2017.8343470
Xiaolin Gu, Ming Huang, Xu Liang
An improved simulated annealing genetic algorithm (ISAGA) was proposed to solve the complex flexible job-shop scheduling problem (FJSP). In ISAGA, the coding method was based on the combination of working procedure coding and machine allocation coding. In the process of crossover, the improved multi-parent process crossover (IMPC) was proposed. The cloud model theory and the simulated annealing algorithm were introduced in the process of mutation. The X conditional cloud generator in cloud model theory was used to generate the mutation probability in genetic operation. The simulated annealing operation was carried out on the variability of results. In order to avoid the loss of the optimal solution, the optimal individual repository (OIR) was used to store the optimal solution in the process of crossover and mutation. Overcoming the shortcomings of genetic algorithm premature convergence and slow convergence, the experimental results indicated that the proposed algorithm could solve the FJSP effectively and efficiently.
{"title":"The improved simulated annealing genetic algorithm for flexible job-shop scheduling problem","authors":"Xiaolin Gu, Ming Huang, Xu Liang","doi":"10.1109/ICCSNT.2017.8343470","DOIUrl":"https://doi.org/10.1109/ICCSNT.2017.8343470","url":null,"abstract":"An improved simulated annealing genetic algorithm (ISAGA) was proposed to solve the complex flexible job-shop scheduling problem (FJSP). In ISAGA, the coding method was based on the combination of working procedure coding and machine allocation coding. In the process of crossover, the improved multi-parent process crossover (IMPC) was proposed. The cloud model theory and the simulated annealing algorithm were introduced in the process of mutation. The X conditional cloud generator in cloud model theory was used to generate the mutation probability in genetic operation. The simulated annealing operation was carried out on the variability of results. In order to avoid the loss of the optimal solution, the optimal individual repository (OIR) was used to store the optimal solution in the process of crossover and mutation. Overcoming the shortcomings of genetic algorithm premature convergence and slow convergence, the experimental results indicated that the proposed algorithm could solve the FJSP effectively and efficiently.","PeriodicalId":163433,"journal":{"name":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114898331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICCSNT.2017.8343741
Yizheng Wang, Li Liu
To acquire images with abundant detail features and obvious differences among weak details, an improved image enhancement method based on wavelet and adaptive fractional differential is proposed in this paper. According to differential box-counting method, the fractal dimension and the differential order can be obtained. Afterwards the fractional filter templates of removing the horizontal direction, removing the vertical direction and removing the diagonal direction are designed. For the sake of extracting more image edge information, the wavelet coefficients of time-frequency decomposition are processed by the corresponding templates, and the processed wavelet coefficients will be reconstructed and linearly superimposed to obtain the enhanced images and the edge images. The experimental results show that this improved method can preserve the low-frequency information of the image non-linearly. The ability to enhance and extract the high-frequency edge information is superior to that of Tiansi algorithm and other improved algorithms referred in this paper. The method can also determine the ideal differential order adaptively, thereby achieving the optimal enhancement effects.
{"title":"Image enhancement method based on wavelet and adaptive fractional differential","authors":"Yizheng Wang, Li Liu","doi":"10.1109/ICCSNT.2017.8343741","DOIUrl":"https://doi.org/10.1109/ICCSNT.2017.8343741","url":null,"abstract":"To acquire images with abundant detail features and obvious differences among weak details, an improved image enhancement method based on wavelet and adaptive fractional differential is proposed in this paper. According to differential box-counting method, the fractal dimension and the differential order can be obtained. Afterwards the fractional filter templates of removing the horizontal direction, removing the vertical direction and removing the diagonal direction are designed. For the sake of extracting more image edge information, the wavelet coefficients of time-frequency decomposition are processed by the corresponding templates, and the processed wavelet coefficients will be reconstructed and linearly superimposed to obtain the enhanced images and the edge images. The experimental results show that this improved method can preserve the low-frequency information of the image non-linearly. The ability to enhance and extract the high-frequency edge information is superior to that of Tiansi algorithm and other improved algorithms referred in this paper. The method can also determine the ideal differential order adaptively, thereby achieving the optimal enhancement effects.","PeriodicalId":163433,"journal":{"name":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122507700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICCSNT.2017.8343754
Li Tianfa, Xue Jiaxiang
This paper firstly introduced the principle and technological method of fuzzy self-tuning algorithm, and discussed related parameters and rules of the fuzzification, membership function, fuzzy rule and defuzzification in the fuzzy self-tuning algorithm. Then, two kinds of PID control methods were compared by the Simulink simulation platform, and the result showed that the input adaptability and anti-interference ability of fuzzy self-tuning controller of PID parameters were significantly better than those of fixed PID controller. Finally, the result was verified by the SPMIG welding test for aluminium alloy sheet with a thickness of 2mm, thus obtaining better welding effect.
{"title":"Fuzzy self-tuning control of PID parameters in SPMIG for aluminum alloy sheet","authors":"Li Tianfa, Xue Jiaxiang","doi":"10.1109/ICCSNT.2017.8343754","DOIUrl":"https://doi.org/10.1109/ICCSNT.2017.8343754","url":null,"abstract":"This paper firstly introduced the principle and technological method of fuzzy self-tuning algorithm, and discussed related parameters and rules of the fuzzification, membership function, fuzzy rule and defuzzification in the fuzzy self-tuning algorithm. Then, two kinds of PID control methods were compared by the Simulink simulation platform, and the result showed that the input adaptability and anti-interference ability of fuzzy self-tuning controller of PID parameters were significantly better than those of fixed PID controller. Finally, the result was verified by the SPMIG welding test for aluminium alloy sheet with a thickness of 2mm, thus obtaining better welding effect.","PeriodicalId":163433,"journal":{"name":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129639285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICCSNT.2017.8343681
Kunming Li, Cong Ji, Chunlin Zhong, Fei Zheng, Jun Shao
In the context of national energy-saving emission reduction strategy, the user energy efficiency has become a hot topic in academia and the business community. In order to solve the problems of large amount of data and fast changing speed in real-time transmission terminal equipment, it has strict requirement for processing timeliness. We need to introduce distributed real-time data, high-speed synchronization, acquisition and processing and analysis technology to build a real-time flow processing platform. Real-time stream processing platform uses message queue (Kafka) to receive data from different real-time sources, and the back-end uses stream processing technology (Storm) to analyze real-time data.
{"title":"Application research of energy data acquisition and analysis based on real-time stream processing platform","authors":"Kunming Li, Cong Ji, Chunlin Zhong, Fei Zheng, Jun Shao","doi":"10.1109/ICCSNT.2017.8343681","DOIUrl":"https://doi.org/10.1109/ICCSNT.2017.8343681","url":null,"abstract":"In the context of national energy-saving emission reduction strategy, the user energy efficiency has become a hot topic in academia and the business community. In order to solve the problems of large amount of data and fast changing speed in real-time transmission terminal equipment, it has strict requirement for processing timeliness. We need to introduce distributed real-time data, high-speed synchronization, acquisition and processing and analysis technology to build a real-time flow processing platform. Real-time stream processing platform uses message queue (Kafka) to receive data from different real-time sources, and the back-end uses stream processing technology (Storm) to analyze real-time data.","PeriodicalId":163433,"journal":{"name":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123931965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Considering the phenomenon that most intelligent optimization algorithms easily plunge into local optimum when solving the complex problem of overlapping community detection, LFOCDA, an overlapping community detection algorithm based on Lévy flight, is proposed in this paper. An extended modularity function has been used as the quality measurement standard of overlapping community division. During the iterative renewed process, Lévy flight has been introduced owing to the variable-step random walk characteristic, so that the algorithm has a chance to jump out of local optimum, thus expanding the search range and guiding the search closer to global optimal solution. Enormous experimental results have verified the effectiveness and adaptability of the algorithm.
{"title":"An overlapping community detection algorithm based on Lévy flight","authors":"Qijuan Sun, Guoliang Deng, Hao Chun, Qing Nian, Longjie Li, Zhixin Ma","doi":"10.1109/ICCSNT.2017.8343694","DOIUrl":"https://doi.org/10.1109/ICCSNT.2017.8343694","url":null,"abstract":"Considering the phenomenon that most intelligent optimization algorithms easily plunge into local optimum when solving the complex problem of overlapping community detection, LFOCDA, an overlapping community detection algorithm based on Lévy flight, is proposed in this paper. An extended modularity function has been used as the quality measurement standard of overlapping community division. During the iterative renewed process, Lévy flight has been introduced owing to the variable-step random walk characteristic, so that the algorithm has a chance to jump out of local optimum, thus expanding the search range and guiding the search closer to global optimal solution. Enormous experimental results have verified the effectiveness and adaptability of the algorithm.","PeriodicalId":163433,"journal":{"name":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130067126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICCSNT.2017.8343674
Zicheng Cao, Shunfang Wang, Lei Guo
In order to predict the types of membrane protein accurately, this paper firstly proposed a fusion feature representation, which contains a more comprehensive information of the original protein sequence by fusing two single feature expressions, pseudo amino acid composition (PseAAC) and dipeptide composition (DipC). Then, we proposed an improved support vector machine (SVM) method by introducing the idea of kernel function to evaluate prediction performance of the new fusion representation. In addition, we have deeply studied the influence of three different kernel functions as well as their kernel parameters on the prediction of membrane protein types. — Through experimental verification, it shows that the proposed integration representation with our improved SVM has a good performance in the prediction of membrane protein types. The final overall prediction accuracy can reach up to 89.64% under the Jackknife test method.
{"title":"Using kernel SVM for predicting membrane protein types by fusing PseAAC and DipC","authors":"Zicheng Cao, Shunfang Wang, Lei Guo","doi":"10.1109/ICCSNT.2017.8343674","DOIUrl":"https://doi.org/10.1109/ICCSNT.2017.8343674","url":null,"abstract":"In order to predict the types of membrane protein accurately, this paper firstly proposed a fusion feature representation, which contains a more comprehensive information of the original protein sequence by fusing two single feature expressions, pseudo amino acid composition (PseAAC) and dipeptide composition (DipC). Then, we proposed an improved support vector machine (SVM) method by introducing the idea of kernel function to evaluate prediction performance of the new fusion representation. In addition, we have deeply studied the influence of three different kernel functions as well as their kernel parameters on the prediction of membrane protein types. — Through experimental verification, it shows that the proposed integration representation with our improved SVM has a good performance in the prediction of membrane protein types. The final overall prediction accuracy can reach up to 89.64% under the Jackknife test method.","PeriodicalId":163433,"journal":{"name":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131585651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICCSNT.2017.8343737
Ke Ma, Kaisheng Zhang, Yuanan Zhang
In order to overcome the shortcomings of motion target range — velocity coupling in the LFMCW (Linear Frequency Modulation Continuous Wave) radar mechanism, based on the relevant theoretical research results of LFMCW radar signal processing method, combined with the actual needs of the system, a signal processing method based on multi cycle LFMCW radar “beat — Fourier spectral analysis — MID” structure is put forward, and the distance — velocity decoupling is realized. It is done from the system scheme design, acquisition circuit analysis, and algorithm theory research to the final algorithm DSP realization process. The experimental results show that this method can achieve target detection and parameter estimation, and it can improve the ranging and speed measurement accuracy, and realize the distance — velocity decoupling of LFMCW radar. As a result, it is concluded that the method proposed in this study is simple and feasible, and the measurement accuracy is high, so it can greatly improve the efficiency of radar signal processing.
{"title":"A signal processing practice method based on LFMCW radar","authors":"Ke Ma, Kaisheng Zhang, Yuanan Zhang","doi":"10.1109/ICCSNT.2017.8343737","DOIUrl":"https://doi.org/10.1109/ICCSNT.2017.8343737","url":null,"abstract":"In order to overcome the shortcomings of motion target range — velocity coupling in the LFMCW (Linear Frequency Modulation Continuous Wave) radar mechanism, based on the relevant theoretical research results of LFMCW radar signal processing method, combined with the actual needs of the system, a signal processing method based on multi cycle LFMCW radar “beat — Fourier spectral analysis — MID” structure is put forward, and the distance — velocity decoupling is realized. It is done from the system scheme design, acquisition circuit analysis, and algorithm theory research to the final algorithm DSP realization process. The experimental results show that this method can achieve target detection and parameter estimation, and it can improve the ranging and speed measurement accuracy, and realize the distance — velocity decoupling of LFMCW radar. As a result, it is concluded that the method proposed in this study is simple and feasible, and the measurement accuracy is high, so it can greatly improve the efficiency of radar signal processing.","PeriodicalId":163433,"journal":{"name":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133279679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
As the first batch of Chinese intangible culture heritage, it is imperative to finish the digital protection works of Tujia brocade. The design and development of system providing knowledge service for Tujia brocade culture are completed with advantages of good user experience and excellent performance of iOS platform. Additionally, functions of the system such as Tujia brocade knowledge browsing, knowledge retrieval, knowledge recommendation and others have been completed, which can provide a good digital platform for users to acquire cultural knowledge of Tujia brocade anytime and anywhere. The study can effectively promote the digital protection of Tujia brocade, which has important theoretical and practical significance.
{"title":"Design and implementation of knowledge service system of Tujia brocade culture based on IOS","authors":"Gang Zhao, Zhuoran Luo, Dasheng Zhao, Shuai Lu, YU Peng, Hui Zan","doi":"10.1109/ICCSNT.2017.8343677","DOIUrl":"https://doi.org/10.1109/ICCSNT.2017.8343677","url":null,"abstract":"As the first batch of Chinese intangible culture heritage, it is imperative to finish the digital protection works of Tujia brocade. The design and development of system providing knowledge service for Tujia brocade culture are completed with advantages of good user experience and excellent performance of iOS platform. Additionally, functions of the system such as Tujia brocade knowledge browsing, knowledge retrieval, knowledge recommendation and others have been completed, which can provide a good digital platform for users to acquire cultural knowledge of Tujia brocade anytime and anywhere. The study can effectively promote the digital protection of Tujia brocade, which has important theoretical and practical significance.","PeriodicalId":163433,"journal":{"name":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124972591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2017-10-01DOI: 10.1109/ICCSNT.2017.8343706
Ming Zhu, Hongbo Wang
It is difficult to detect the moving object in the video which is captured with the moving camera, and it costs a lot of time to use current method of object detection, because there is a large false rate based on the basic method of moving object detection. In this paper, we propose an improved frame-difference method, which can shorten the running time and improve the accuracy of the object detection. The results of the experiment show that after adding the improved frame-difference method, the detection speed is increased by 21.06 times, the image detection accuracy is improved about 8%. The algorithm is robust and it can be adapted to different scenes including indoor and outdoor. It could be applied to the field of artificial intelligence, such as Intelligent Driving, UAV aerial detection technology and so on.
{"title":"Fast detection of moving object based on improved frame-difference method","authors":"Ming Zhu, Hongbo Wang","doi":"10.1109/ICCSNT.2017.8343706","DOIUrl":"https://doi.org/10.1109/ICCSNT.2017.8343706","url":null,"abstract":"It is difficult to detect the moving object in the video which is captured with the moving camera, and it costs a lot of time to use current method of object detection, because there is a large false rate based on the basic method of moving object detection. In this paper, we propose an improved frame-difference method, which can shorten the running time and improve the accuracy of the object detection. The results of the experiment show that after adding the improved frame-difference method, the detection speed is increased by 21.06 times, the image detection accuracy is improved about 8%. The algorithm is robust and it can be adapted to different scenes including indoor and outdoor. It could be applied to the field of artificial intelligence, such as Intelligent Driving, UAV aerial detection technology and so on.","PeriodicalId":163433,"journal":{"name":"2017 6th International Conference on Computer Science and Network Technology (ICCSNT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129468946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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