Pub Date : 2009-05-23DOI: 10.1109/IWISA.2009.5073104
Baiting Zhao, Xijun Chen, Qingshuang Zeng
This paper is concerned with fault diagnosis for the precision test turntable (PTT). Using rough set theory combine with neural network, a forward greedy reduce algorithm based on rough set is presented to pre-process the raw fault information. By calculating the dependence and significance of the condition, the core attributes are gained and finally the reduction of the raw fault information is obtained. The worst case of computational complexity of reduction and the total computational times of the algorithm are presented. The reduced decision table will be used by the neural network as the training samples. Rough set method can effectively decrease the dimension of the information space. In this algorithm, the training samples for the neural network can be reduced dramatically, and the training time of the network is decreased. The method can detect the composed faults while keeping good robustness, and can reduce the false alarm rate and the missing alarm rate of the fault diagnosis system effectively.
{"title":"Rough Sets Based Hybrid Intelligent Fault Diagnosis for Precision Test Turntable","authors":"Baiting Zhao, Xijun Chen, Qingshuang Zeng","doi":"10.1109/IWISA.2009.5073104","DOIUrl":"https://doi.org/10.1109/IWISA.2009.5073104","url":null,"abstract":"This paper is concerned with fault diagnosis for the precision test turntable (PTT). Using rough set theory combine with neural network, a forward greedy reduce algorithm based on rough set is presented to pre-process the raw fault information. By calculating the dependence and significance of the condition, the core attributes are gained and finally the reduction of the raw fault information is obtained. The worst case of computational complexity of reduction and the total computational times of the algorithm are presented. The reduced decision table will be used by the neural network as the training samples. Rough set method can effectively decrease the dimension of the information space. In this algorithm, the training samples for the neural network can be reduced dramatically, and the training time of the network is decreased. The method can detect the composed faults while keeping good robustness, and can reduce the false alarm rate and the missing alarm rate of the fault diagnosis system effectively.","PeriodicalId":6327,"journal":{"name":"2009 International Workshop on Intelligent Systems and Applications","volume":"146 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76742723","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 : 2009-05-23DOI: 10.1109/IWISA.2009.5072778
Haihui Wang, Junhua Zhang, K. Xiang, Liu Yang
A classification of remote sensing data by using several classifiers and neural networks is presented in this paper. The application was conducted using a scene about agricultural areas, and it contains several agricultural classes. Several classification methods were compared and tested over a multispectral scene containing agricultural classes using a data base, and the Hybrid Learning Vector Quantization neural network approaches are used to classify multispectral TM images. The main result obtained in this paper is that the neural network considered here provides a satisfying effect for the classification of agricultural multispectral images, and it means that this neural network architecture may be considered as a good alternative to the classical Bayesian method, especially when processing hyper-spectral data where several hundreds of spectral bands have to be considered together.
{"title":"Classification of Remote Sensing Agricultural Image by Using Artificial Neural Network","authors":"Haihui Wang, Junhua Zhang, K. Xiang, Liu Yang","doi":"10.1109/IWISA.2009.5072778","DOIUrl":"https://doi.org/10.1109/IWISA.2009.5072778","url":null,"abstract":"A classification of remote sensing data by using several classifiers and neural networks is presented in this paper. The application was conducted using a scene about agricultural areas, and it contains several agricultural classes. Several classification methods were compared and tested over a multispectral scene containing agricultural classes using a data base, and the Hybrid Learning Vector Quantization neural network approaches are used to classify multispectral TM images. The main result obtained in this paper is that the neural network considered here provides a satisfying effect for the classification of agricultural multispectral images, and it means that this neural network architecture may be considered as a good alternative to the classical Bayesian method, especially when processing hyper-spectral data where several hundreds of spectral bands have to be considered together.","PeriodicalId":6327,"journal":{"name":"2009 International Workshop on Intelligent Systems and Applications","volume":"201 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76977185","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 : 2009-05-23DOI: 10.1109/IWISA.2009.5072831
Lei Zhang, Yongliang Xie
This paper describes the development of a vision inspection sensor system for the automation of laser welding processes in heavy industries. The system consists of PC based vision camera and stripe type laser diode. Its structure, basic principle of this system and the mathematic model and error analysis are also deascribed. A mathematic model is established in order to analyse the influence on sensor error from the geometric parameters. The simulation results are shown the relationship between error and coordinate of image points. Finally, the experiments results illustrate the mismatch size, weld slope, convexity , concavity, overthickness. Undercut and the bead width of the weld for the butt joint. And the feasibility and effectiveness of automatic visual inspection sensor are proved.
{"title":"Development of Automatic Visual Inspection Sensor in Robotic Tailored Blank Welding","authors":"Lei Zhang, Yongliang Xie","doi":"10.1109/IWISA.2009.5072831","DOIUrl":"https://doi.org/10.1109/IWISA.2009.5072831","url":null,"abstract":"This paper describes the development of a vision inspection sensor system for the automation of laser welding processes in heavy industries. The system consists of PC based vision camera and stripe type laser diode. Its structure, basic principle of this system and the mathematic model and error analysis are also deascribed. A mathematic model is established in order to analyse the influence on sensor error from the geometric parameters. The simulation results are shown the relationship between error and coordinate of image points. Finally, the experiments results illustrate the mismatch size, weld slope, convexity , concavity, overthickness. Undercut and the bead width of the weld for the butt joint. And the feasibility and effectiveness of automatic visual inspection sensor are proved.","PeriodicalId":6327,"journal":{"name":"2009 International Workshop on Intelligent Systems and Applications","volume":"24 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78063658","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 : 2009-05-23DOI: 10.1109/IWISA.2009.5073056
Hongmei Xue
According to the request of the application environment of long distance and multi-spot temperature system, the author proposes the method of forceful actuation temperature monitoring about the 1-wire bus's field. By designing one driving circuit with proper rate of drop-down and drop-up, the driving force of the temperature monitoring can be enhanced greatly so as to support the multi-spot temperature monitoring in a longer distance, a bigger space and simultaneously realize the separation between the monitoring pattern and the searching pattern. In this way, we can avoid the occurrence of monitoring chaotic situations because of the lose of sensors thus guarantee the monitoring network's reliability, stability and intelligence, enabling the 1- wire bus monitor to be applied in a bigger scope.
{"title":"Research on Application of 1-Wire Bus Technology in Long Distance and Multi-Spot Temperature Monitoring","authors":"Hongmei Xue","doi":"10.1109/IWISA.2009.5073056","DOIUrl":"https://doi.org/10.1109/IWISA.2009.5073056","url":null,"abstract":"According to the request of the application environment of long distance and multi-spot temperature system, the author proposes the method of forceful actuation temperature monitoring about the 1-wire bus's field. By designing one driving circuit with proper rate of drop-down and drop-up, the driving force of the temperature monitoring can be enhanced greatly so as to support the multi-spot temperature monitoring in a longer distance, a bigger space and simultaneously realize the separation between the monitoring pattern and the searching pattern. In this way, we can avoid the occurrence of monitoring chaotic situations because of the lose of sensors thus guarantee the monitoring network's reliability, stability and intelligence, enabling the 1- wire bus monitor to be applied in a bigger scope.","PeriodicalId":6327,"journal":{"name":"2009 International Workshop on Intelligent Systems and Applications","volume":"185 5 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78323019","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 : 2009-05-23DOI: 10.1109/IWISA.2009.5073239
Xing-jia Yao, Xian-bin Su, L. Tian
For the variable speed operation of large scale wind turbine, the vibrations become key problem that can not be ignored. In this paper, the active vibration control based on Neural Network PID control strategy was researched. Firstly, PID control algorithm was analyzed. Then, the PID control based on Neural Network was described especially BP Network and its algorithm. In the end, this control method was verified using simulation and prototype test. Keywords-Control; PID; Neural Network; Bladed I.INTRODUCTION The more complicated of controlled system, the higher of people requirements, further, people need control system could adapt to uncertainty, time-varying objects and environment ability. Traditional control method based on exact model can hardly meet the requirements. Control is defined as concept including decision, planning and learning ability. The neural network is paid more and more attention because of these advantages mentioned above. The control diagram of wind turbine is shown in Figure 1.
{"title":"Wind Turbine Control Strategy at Lower Wind Velocity Based on Neural Network PID Control","authors":"Xing-jia Yao, Xian-bin Su, L. Tian","doi":"10.1109/IWISA.2009.5073239","DOIUrl":"https://doi.org/10.1109/IWISA.2009.5073239","url":null,"abstract":"For the variable speed operation of large scale wind turbine, the vibrations become key problem that can not be ignored. In this paper, the active vibration control based on Neural Network PID control strategy was researched. Firstly, PID control algorithm was analyzed. Then, the PID control based on Neural Network was described especially BP Network and its algorithm. In the end, this control method was verified using simulation and prototype test. Keywords-Control; PID; Neural Network; Bladed I.INTRODUCTION The more complicated of controlled system, the higher of people requirements, further, people need control system could adapt to uncertainty, time-varying objects and environment ability. Traditional control method based on exact model can hardly meet the requirements. Control is defined as concept including decision, planning and learning ability. The neural network is paid more and more attention because of these advantages mentioned above. The control diagram of wind turbine is shown in Figure 1.","PeriodicalId":6327,"journal":{"name":"2009 International Workshop on Intelligent Systems and Applications","volume":"5 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75129613","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 : 2009-05-23DOI: 10.1109/IWISA.2009.5072901
Xiaoli Hao, R. Lin, Fu Duan
In order to deal with space correlation of image information, a new image segmentation algorithm based on granular matrix model is proposed. Firstly, we define granular matrix model, which is used to build knowledge granular of an image. Secondly, we introduce classifying error precision to the model, and construct granular layers of an image by it. Thirdly, for the need of segmentation precision, we choose unit granular layer and realize reduction by granular matrix. Finally, implementing the combination of the similar regions and the image segmentation is accomplished. In order to certify the new algorithm, it is applied to image segmentation tests. The results indicate that it is more suitable for actual need, which not only reduce complexity of space and time, but also provide new thoughts in image process. Keywords-image segmentation; granular computing; variable precision
{"title":"Image Segmentation Algorithm of Variable Precision Based on Granular Matrix Model","authors":"Xiaoli Hao, R. Lin, Fu Duan","doi":"10.1109/IWISA.2009.5072901","DOIUrl":"https://doi.org/10.1109/IWISA.2009.5072901","url":null,"abstract":"In order to deal with space correlation of image information, a new image segmentation algorithm based on granular matrix model is proposed. Firstly, we define granular matrix model, which is used to build knowledge granular of an image. Secondly, we introduce classifying error precision to the model, and construct granular layers of an image by it. Thirdly, for the need of segmentation precision, we choose unit granular layer and realize reduction by granular matrix. Finally, implementing the combination of the similar regions and the image segmentation is accomplished. In order to certify the new algorithm, it is applied to image segmentation tests. The results indicate that it is more suitable for actual need, which not only reduce complexity of space and time, but also provide new thoughts in image process. Keywords-image segmentation; granular computing; variable precision","PeriodicalId":6327,"journal":{"name":"2009 International Workshop on Intelligent Systems and Applications","volume":"21 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75221646","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 : 2009-05-23DOI: 10.1109/IWISA.2009.5073094
Xianjin Fang, Jingzhao Li, Longshu Li
In order to quicken the affinity maturation process of detector population and improve the efficiency of network intrusion detection, this paper describes detailed vaccine operator, algorithm of adaptive extracting vaccine and Immune Evolutionary Algorithm (IEA), and then design a novel artificial immune model and algorithm for network intrusion detection which integrates Negative Selection Algorithm (NSA) with IEA. This model can also satisfy three requirements of distributed, self-organizing and lightweight. The network intrusion detection experiments based on the novel model and algorithm are designed to compare with Kim’s artificial immune model for network intrusion detection which is based on Clonal Selection Algorithm (CSA) and NSA. Experimental results show that the novel model and its algorithm quickens the affinity maturation process of detector population and stably increases the detection rate along with increasing evolutionary generation; but in Kim’s conceptual mode, the affinity maturation process of detector population takes more time, the detection rate falls into a little degradation and maintains invariant for a long time.
{"title":"Restudying the Artificial Immune Model for Network Intrusion Detection","authors":"Xianjin Fang, Jingzhao Li, Longshu Li","doi":"10.1109/IWISA.2009.5073094","DOIUrl":"https://doi.org/10.1109/IWISA.2009.5073094","url":null,"abstract":"In order to quicken the affinity maturation process of detector population and improve the efficiency of network intrusion detection, this paper describes detailed vaccine operator, algorithm of adaptive extracting vaccine and Immune Evolutionary Algorithm (IEA), and then design a novel artificial immune model and algorithm for network intrusion detection which integrates Negative Selection Algorithm (NSA) with IEA. This model can also satisfy three requirements of distributed, self-organizing and lightweight. The network intrusion detection experiments based on the novel model and algorithm are designed to compare with Kim’s artificial immune model for network intrusion detection which is based on Clonal Selection Algorithm (CSA) and NSA. Experimental results show that the novel model and its algorithm quickens the affinity maturation process of detector population and stably increases the detection rate along with increasing evolutionary generation; but in Kim’s conceptual mode, the affinity maturation process of detector population takes more time, the detection rate falls into a little degradation and maintains invariant for a long time.","PeriodicalId":6327,"journal":{"name":"2009 International Workshop on Intelligent Systems and Applications","volume":"311 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75265547","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 : 2009-05-23DOI: 10.1109/IWISA.2009.5072727
Miao Zhang
Travel time study is basis to other traffic information service. Lots of factors like the intersection delay, the interference of non-motor vehicles and pedestrians affect the urban arterial traffic flow, making it displays much more complicated characteristics than the one of freeway. There are lots of efforts towards urban arterial route travel time forecasting methods; in this study, an ANFIS (Adaptive Neuro-Fuzzy Inference System) based real-time arterial route travel time prediction method is proposed, and tested using field data on arterial route segments in Shanghai, which covers both normal and failure conditions of detectors. Experiment results were then evaluated by a set of criteria. Results show that this approach has very good performance if being well trained with a large amount of data, even encountering incomplete information (detector failure), which validates the promising accuracy and robust of this approach. A sensitivity analysis of model inputs then carried out. Because the training procedure is usually costly, the direct citywide implantation of this approach might not be feasible; however, with necessary improvement of training strategy, the proposed approach shall be even more satisfying. Keywords-ANFIS, Travel Time, Arterial Route
{"title":"An On-Line Arterial Route Travel Time Prediction Application Using ANFIS","authors":"Miao Zhang","doi":"10.1109/IWISA.2009.5072727","DOIUrl":"https://doi.org/10.1109/IWISA.2009.5072727","url":null,"abstract":"Travel time study is basis to other traffic information service. Lots of factors like the intersection delay, the interference of non-motor vehicles and pedestrians affect the urban arterial traffic flow, making it displays much more complicated characteristics than the one of freeway. There are lots of efforts towards urban arterial route travel time forecasting methods; in this study, an ANFIS (Adaptive Neuro-Fuzzy Inference System) based real-time arterial route travel time prediction method is proposed, and tested using field data on arterial route segments in Shanghai, which covers both normal and failure conditions of detectors. Experiment results were then evaluated by a set of criteria. Results show that this approach has very good performance if being well trained with a large amount of data, even encountering incomplete information (detector failure), which validates the promising accuracy and robust of this approach. A sensitivity analysis of model inputs then carried out. Because the training procedure is usually costly, the direct citywide implantation of this approach might not be feasible; however, with necessary improvement of training strategy, the proposed approach shall be even more satisfying. Keywords-ANFIS, Travel Time, Arterial Route","PeriodicalId":6327,"journal":{"name":"2009 International Workshop on Intelligent Systems and Applications","volume":"30 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75570294","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 : 2009-05-23DOI: 10.1109/IWISA.2009.5073138
Zhengchi Liu, M. Lai
Based on the financing system among upstream supplier enterprises, third-party financing warehouses, manufacturers and banks, a model is established respectively for the minimum production cost or the maximum loan amount. Further analysis is made towards the impact of the storage cost parameter to the delivery strategies for suppliers, which provides recommendations for suppliers to choose the best delivery strategy to achieve maximum utility.
{"title":"Study on Optimal Delivery Strategy Based on the Third-Party Storage Cost","authors":"Zhengchi Liu, M. Lai","doi":"10.1109/IWISA.2009.5073138","DOIUrl":"https://doi.org/10.1109/IWISA.2009.5073138","url":null,"abstract":"Based on the financing system among upstream supplier enterprises, third-party financing warehouses, manufacturers and banks, a model is established respectively for the minimum production cost or the maximum loan amount. Further analysis is made towards the impact of the storage cost parameter to the delivery strategies for suppliers, which provides recommendations for suppliers to choose the best delivery strategy to achieve maximum utility.","PeriodicalId":6327,"journal":{"name":"2009 International Workshop on Intelligent Systems and Applications","volume":"29 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76314228","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 : 2009-05-23DOI: 10.1109/IWISA.2009.5073098
Shujing Zhou, Li Liu, Chao Wu, Yancang Li
To management the risk of International Project Contracting where the chance and risk are accreted and the risk is bigger than the domestic engineering, the paper sets up the comprehensive evaluation system and a model of risk assessment by using the unascertained set for evaluating the risk of the international project contracting. Finally, the practicality and feasibility of the model are illustrated by the engineering practice.
{"title":"Risk Assessment of International Project Contracting Based on Unascertained Set","authors":"Shujing Zhou, Li Liu, Chao Wu, Yancang Li","doi":"10.1109/IWISA.2009.5073098","DOIUrl":"https://doi.org/10.1109/IWISA.2009.5073098","url":null,"abstract":"To management the risk of International Project Contracting where the chance and risk are accreted and the risk is bigger than the domestic engineering, the paper sets up the comprehensive evaluation system and a model of risk assessment by using the unascertained set for evaluating the risk of the international project contracting. Finally, the practicality and feasibility of the model are illustrated by the engineering practice.","PeriodicalId":6327,"journal":{"name":"2009 International Workshop on Intelligent Systems and Applications","volume":"42 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2009-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74696186","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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