This paper presents the mathematical model for multi-stage distribution substation planning. In order to decide the substation-planning scheme in each stage simultaneously, this work put forward a new method for getting initial feasible solution. The initial feasible solution makes load points in every stage into consideration by classifying new substations into several classes. Based on the initial feasible solution, we present Hop field neural network to calculate each substation's planning scheme in every stage simultaneously. The energy function of the neural network and calculation algorithm are given in this paper. A real multi-stage planning example is also given, and the comparison between the calculated scheme and the scheme that is done by power institution shows that the presented algorithm is effective.
{"title":"New Multi-stage Distribution Substation Planning Algorithm Based on Multilayer Hopfield Neural Network","authors":"Yanan Cui, Suli Yan, Weixin Gao, Nan Tang","doi":"10.1109/ISCID.2011.37","DOIUrl":"https://doi.org/10.1109/ISCID.2011.37","url":null,"abstract":"This paper presents the mathematical model for multi-stage distribution substation planning. In order to decide the substation-planning scheme in each stage simultaneously, this work put forward a new method for getting initial feasible solution. The initial feasible solution makes load points in every stage into consideration by classifying new substations into several classes. Based on the initial feasible solution, we present Hop field neural network to calculate each substation's planning scheme in every stage simultaneously. The energy function of the neural network and calculation algorithm are given in this paper. A real multi-stage planning example is also given, and the comparison between the calculated scheme and the scheme that is done by power institution shows that the presented algorithm is effective.","PeriodicalId":294370,"journal":{"name":"International Symposium on Computational Intelligence and Design","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127986676","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}
Based on problem which side-looking SAR can't image in flight direction with azimuth resolution, an linearity array antenna forward-looking SAR system is studied. According to the spatial geometry and the model of echo signal, extended nonlinear chirp scaling algorithm is proposed for forward-looking SAR. The phase compensation factors and realized steps of algorithm are given. The mage is achieved by using the ENLCS algorithm proposed in this paper. The imaging effect is analyzed, and the Simulation results demonstrate the validity of the algorithm.
{"title":"Improved ENLCS Imaging Algorithm for Air-borne Forward-Looking SAR","authors":"Lianyin Gong, Zhulin Zong, Jianshu Cao","doi":"10.1109/ISCID.2011.134","DOIUrl":"https://doi.org/10.1109/ISCID.2011.134","url":null,"abstract":"Based on problem which side-looking SAR can't image in flight direction with azimuth resolution, an linearity array antenna forward-looking SAR system is studied. According to the spatial geometry and the model of echo signal, extended nonlinear chirp scaling algorithm is proposed for forward-looking SAR. The phase compensation factors and realized steps of algorithm are given. The mage is achieved by using the ENLCS algorithm proposed in this paper. The imaging effect is analyzed, and the Simulation results demonstrate the validity of the algorithm.","PeriodicalId":294370,"journal":{"name":"International Symposium on Computational Intelligence and Design","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122117329","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 : 1900-01-01DOI: 10.1109/ISCID.2019.00029
Zhiqin Jia, Jian Zhang
Based on CNKI and Web of Science, this paper uses the methods of bibliometric, social network analysis, Co-word Analysis and data visualization to analyze the trends in the volume of publications, the organization, high-frequency keywords and their relevance, and explore the research hotspots and development trends in this field. Through the analysis of the development process of foreign research, we can find the change in international influence of domestic research.
{"title":"Research Progress and Development Trend Evolution of Recommendation System","authors":"Zhiqin Jia, Jian Zhang","doi":"10.1109/ISCID.2019.00029","DOIUrl":"https://doi.org/10.1109/ISCID.2019.00029","url":null,"abstract":"Based on CNKI and Web of Science, this paper uses the methods of bibliometric, social network analysis, Co-word Analysis and data visualization to analyze the trends in the volume of publications, the organization, high-frequency keywords and their relevance, and explore the research hotspots and development trends in this field. Through the analysis of the development process of foreign research, we can find the change in international influence of domestic research.","PeriodicalId":294370,"journal":{"name":"International Symposium on Computational Intelligence and Design","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120936555","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}
In the process of hypothermic chemotherapy, the small difference of the liquor temperature would make a direct influence on the treatment effect of the sick. Therefore, it requires that the thermal medicine filler has higher precision of temperature control. The diversity of individual patient and their conditions causes that the control process could not establish an accurate mathematical model. By this reason, the combination of intelligent fuzzy control algorithm and the traditional PID control algorithm could give full play to their advantages, solve problems better and even achieve an accurate effect of temperature control.
{"title":"Research on the Application of the Fuzzy Adaptive PID to the Thermal Medicine Filler","authors":"Jie Zhao, Xinghui Zhang, Z. Gu, Xinzhong Zhao","doi":"10.1109/ISCID.2011.181","DOIUrl":"https://doi.org/10.1109/ISCID.2011.181","url":null,"abstract":"In the process of hypothermic chemotherapy, the small difference of the liquor temperature would make a direct influence on the treatment effect of the sick. Therefore, it requires that the thermal medicine filler has higher precision of temperature control. The diversity of individual patient and their conditions causes that the control process could not establish an accurate mathematical model. By this reason, the combination of intelligent fuzzy control algorithm and the traditional PID control algorithm could give full play to their advantages, solve problems better and even achieve an accurate effect of temperature control.","PeriodicalId":294370,"journal":{"name":"International Symposium on Computational Intelligence and Design","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115350002","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}
The railroad is the major arteries of China’s national economy and social development. The development of interior design is an important aspect of improving the quality of railway transportation services. The interior system of train has three major characters: integrity, orderliness and dynamic. The three major characters restrict and accelerate affect each other. We can improve the interior system design of the railway passenger car effectively if we attach great importance to them and make rational use of them.
{"title":"Research on the Characters of Interior System of Railway Passenger Car","authors":"B. Zhang, Yanqun Wang","doi":"10.1109/ISCID.2009.70","DOIUrl":"https://doi.org/10.1109/ISCID.2009.70","url":null,"abstract":"The railroad is the major arteries of China’s national economy and social development. The development of interior design is an important aspect of improving the quality of railway transportation services. The interior system of train has three major characters: integrity, orderliness and dynamic. The three major characters restrict and accelerate affect each other. We can improve the interior system design of the railway passenger car effectively if we attach great importance to them and make rational use of them.","PeriodicalId":294370,"journal":{"name":"International Symposium on Computational Intelligence and Design","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122078698","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}
due to the geometric constraints and dynamic constraints between the train and track, there exist several factors influencing the levitation control when the train is running on the curve track. These would make the system unstable and sometimes it's dangerous without an effective control strategy. In this paper, based on state feedback method, according to analysis on acceleration and current feedback, a new control algorithm is presented, considering the two-point levitation model. Simulation results show that load disturbance is restrained on the same condition, and it proves effective.
{"title":"Research on Rejecting Load Disturbance for Levitation System of Maglev Train","authors":"Siqing Lei, L. She","doi":"10.1109/ISCID.2011.84","DOIUrl":"https://doi.org/10.1109/ISCID.2011.84","url":null,"abstract":"due to the geometric constraints and dynamic constraints between the train and track, there exist several factors influencing the levitation control when the train is running on the curve track. These would make the system unstable and sometimes it's dangerous without an effective control strategy. In this paper, based on state feedback method, according to analysis on acceleration and current feedback, a new control algorithm is presented, considering the two-point levitation model. Simulation results show that load disturbance is restrained on the same condition, and it proves effective.","PeriodicalId":294370,"journal":{"name":"International Symposium on Computational Intelligence and Design","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124524802","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}
Association rules mining is an important branch of data mining research, which affords interesting relations between items of data sets. Minimum support degree is an important reference value in association rules mining and its threshold is usually given by user. The problem of how to determine the threshold when data mining is not researched until nowadays. So a selection mining support degree algorithm is put forwarded in this paper, and it has important significance in practical application.
{"title":"Selection of Minimum Support Degree with Rate of Frequent Items","authors":"Haiyan Zhou, Xiaobing Chen, Yunyang Yan","doi":"10.1109/ISCID.2009.65","DOIUrl":"https://doi.org/10.1109/ISCID.2009.65","url":null,"abstract":"Association rules mining is an important branch of data mining research, which affords interesting relations between items of data sets. Minimum support degree is an important reference value in association rules mining and its threshold is usually given by user. The problem of how to determine the threshold when data mining is not researched until nowadays. So a selection mining support degree algorithm is put forwarded in this paper, and it has important significance in practical application.","PeriodicalId":294370,"journal":{"name":"International Symposium on Computational Intelligence and Design","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125301507","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}
Ship heading sliding mode tracking control algorithm was investigated based on the minimum parameter learning algorithm of Radial Basis Function (RBF) neural network. RBF neural network has been used to approach the uncertainty function of ship nonlinear motion system and unknown external interference. In consideration that the RBF neural network weights is difficult to adjust quickly, the minimum parameter learning algorithm of RBF neural network was used in this paper to design a single estimated parameter instead of neural network adjustment weights. Finally, by means of Lyapunov stability theory, the tracking control law of ship heading was deduced by RBF Neural network. The above controller's solving speed of an adaptive law is faster than traditional neural network control algorithm with less parameters. By this way, the controller's structure is more simple and therefore easier to be implemented and achieved in application.
{"title":"Application of Neural Network Minimum Parameter Learning Algorithm in Ship's Heading Tracking Control","authors":"Renqiang Wang, Yuelin Zhao, Keyin Miao","doi":"10.1109/ISCID.2016.1039","DOIUrl":"https://doi.org/10.1109/ISCID.2016.1039","url":null,"abstract":"Ship heading sliding mode tracking control algorithm was investigated based on the minimum parameter learning algorithm of Radial Basis Function (RBF) neural network. RBF neural network has been used to approach the uncertainty function of ship nonlinear motion system and unknown external interference. In consideration that the RBF neural network weights is difficult to adjust quickly, the minimum parameter learning algorithm of RBF neural network was used in this paper to design a single estimated parameter instead of neural network adjustment weights. Finally, by means of Lyapunov stability theory, the tracking control law of ship heading was deduced by RBF Neural network. The above controller's solving speed of an adaptive law is faster than traditional neural network control algorithm with less parameters. By this way, the controller's structure is more simple and therefore easier to be implemented and achieved in application.","PeriodicalId":294370,"journal":{"name":"International Symposium on Computational Intelligence and Design","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128928742","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}
In this paper, a novel and effective algorithm is proposed for noise reduction and contrast enhancement in low light images based on luminance map and haze removal model. The proposed method is divided into two steps: i) A combined denoising method using the improved guided filtering based on gradient information and median filtering is proposed to obtain the initial denoised image. ii) Considering that an inverted low light image presents quite similar to a haze image, the haze removal model is used to enhance the denoised low light image.The luminance component L is extracted to obtain the transmission map with the adaptive weight from the inverted denoised image which is applied to Lab color space. Then the classical quad-tree subdivision is utilized to estimate the atmospheric light, and then the de-hazed image is recovered by the haze removal model. At last, we can get the final enhanced image by inverting the de-hazed image back. The experimental results show that the proposed algorithm reduces the noise and enhances the contrast of the low light image more effectively and robustly than the conventional and the state-of-the-art algorithms
{"title":"Low Light Image Enhancement Based on Luminance Map and Haze Removal Model","authors":"Wei Xie, Xu Long, Zhigang Tu, Jin Yu, Ke Xu","doi":"10.1109/ISCID.2017.146","DOIUrl":"https://doi.org/10.1109/ISCID.2017.146","url":null,"abstract":"In this paper, a novel and effective algorithm is proposed for noise reduction and contrast enhancement in low light images based on luminance map and haze removal model. The proposed method is divided into two steps: i) A combined denoising method using the improved guided filtering based on gradient information and median filtering is proposed to obtain the initial denoised image. ii) Considering that an inverted low light image presents quite similar to a haze image, the haze removal model is used to enhance the denoised low light image.The luminance component L is extracted to obtain the transmission map with the adaptive weight from the inverted denoised image which is applied to Lab color space. Then the classical quad-tree subdivision is utilized to estimate the atmospheric light, and then the de-hazed image is recovered by the haze removal model. At last, we can get the final enhanced image by inverting the de-hazed image back. The experimental results show that the proposed algorithm reduces the noise and enhances the contrast of the low light image more effectively and robustly than the conventional and the state-of-the-art algorithms","PeriodicalId":294370,"journal":{"name":"International Symposium on Computational Intelligence and Design","volume":"2012 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128206371","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}
The paper proposed a clustering method of decade observation data based on k-means algorithm, which adjusted the weight influence to similarity function by the missing values handling and scaling of range fields. This paper discussed the way to select initial cluster centers and the process of calculating cluster centers and assigning records to clusters. The test indicated the k-means algorithm had effective clustering result.
{"title":"Meteorological Data Analyze Base on K-means Algorithm","authors":"Jinghua Huang, Zhenchong Wang, Mei Yuan, Y. Bao","doi":"10.1109/ISCID.2009.164","DOIUrl":"https://doi.org/10.1109/ISCID.2009.164","url":null,"abstract":"The paper proposed a clustering method of decade observation data based on k-means algorithm, which adjusted the weight influence to similarity function by the missing values handling and scaling of range fields. This paper discussed the way to select initial cluster centers and the process of calculating cluster centers and assigning records to clusters. The test indicated the k-means algorithm had effective clustering result.","PeriodicalId":294370,"journal":{"name":"International Symposium on Computational Intelligence and Design","volume":"17 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113936381","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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