Computer modelling and visualization of the geological data is currently a topical research area. Due to the diverse types and forms of the geological data, it's usually difficult to form unified rules for 3D modelling. In this paper, the author describes a 3D visualization system which built for visualization modelling with the data obtained in the geological survey. In addition, the author focuses on his ideas about how to implement the 3D modelling and visual interpretation of the multi-source detection data.
{"title":"Building a 3D Visualization System for the Geological Survey","authors":"Xiangyu Yu, Yixian Xu","doi":"10.1109/ICISCE.2015.148","DOIUrl":"https://doi.org/10.1109/ICISCE.2015.148","url":null,"abstract":"Computer modelling and visualization of the geological data is currently a topical research area. Due to the diverse types and forms of the geological data, it's usually difficult to form unified rules for 3D modelling. In this paper, the author describes a 3D visualization system which built for visualization modelling with the data obtained in the geological survey. In addition, the author focuses on his ideas about how to implement the 3D modelling and visual interpretation of the multi-source detection data.","PeriodicalId":356250,"journal":{"name":"2015 2nd International Conference on Information Science and Control Engineering","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133936790","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}
Zhinong Zhong, Ning Jing, Y. Gao, M. N. Jha, A. Kassab, H. Assilzadeh
That oil spills are quickly reliably detected and the oil spill information is distributed to related users or emergency responders in real-time is very important in oil spill response and contingency planning. Laser Fluorosensors, such as the Scanning Laser Environmental Airborne Fluorosensor (SLEAF) sensor operated by Environment Canada, are among the most appropriate sensors for oil spill surveillance. In this paper, a reliable classification scheme is proposed for oil spill detection based on SLEAF data. Event-driven architecture can automatically notify and push information to related users, so it is suitable for developing active real-time information distribution system, such as emergency response system. Since oil spill information is spatially related information, a geospatial-based publish/subscribe model, which extends the function of general publish/subscribe model in event-driven system and can process geospatial subscriptions and events, is proposed. At last, based on the oil spill detection methods, even-driven architecture and geospatial-based publish/subscribe model, an active real-time system for oil spill detection and information distribution has been implemented.
{"title":"An Active Real-Time System for Oil Spill Detection and Information Distribution","authors":"Zhinong Zhong, Ning Jing, Y. Gao, M. N. Jha, A. Kassab, H. Assilzadeh","doi":"10.1109/ICISCE.2015.33","DOIUrl":"https://doi.org/10.1109/ICISCE.2015.33","url":null,"abstract":"That oil spills are quickly reliably detected and the oil spill information is distributed to related users or emergency responders in real-time is very important in oil spill response and contingency planning. Laser Fluorosensors, such as the Scanning Laser Environmental Airborne Fluorosensor (SLEAF) sensor operated by Environment Canada, are among the most appropriate sensors for oil spill surveillance. In this paper, a reliable classification scheme is proposed for oil spill detection based on SLEAF data. Event-driven architecture can automatically notify and push information to related users, so it is suitable for developing active real-time information distribution system, such as emergency response system. Since oil spill information is spatially related information, a geospatial-based publish/subscribe model, which extends the function of general publish/subscribe model in event-driven system and can process geospatial subscriptions and events, is proposed. At last, based on the oil spill detection methods, even-driven architecture and geospatial-based publish/subscribe model, an active real-time system for oil spill detection and information distribution has been implemented.","PeriodicalId":356250,"journal":{"name":"2015 2nd International Conference on Information Science and Control Engineering","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132001495","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 order to solve the problem of garbage treatment effectively, a control method is proposed based on Takagi-Sugeno (T-S) fuzzy neural network model after analyzing the characteristics of garbage incinerators system and the main factors affecting combustion. A T-S fuzzy neural network model for garbage incinerators control is established which utilizes BP learning algorithm for data training. Then a simulation research is carried out to verify the feasibility and superiority. Results show that the T-S fuzzy neural network control can well track the input in a relative short time. The contrast analysis with conventional PID control and fuzzy control is done to show a better performance under the fuzzy neural network control. The fuzzy neural network control method can adapt to the complex garbage incineration process, which makes it high application value.
{"title":"Fuzzy Neural Network Control of the Garbage Incinerator","authors":"Yu Xiao-hong, Yang Zhu-zhong, Yang Tao","doi":"10.1109/ICISCE.2015.62","DOIUrl":"https://doi.org/10.1109/ICISCE.2015.62","url":null,"abstract":"In order to solve the problem of garbage treatment effectively, a control method is proposed based on Takagi-Sugeno (T-S) fuzzy neural network model after analyzing the characteristics of garbage incinerators system and the main factors affecting combustion. A T-S fuzzy neural network model for garbage incinerators control is established which utilizes BP learning algorithm for data training. Then a simulation research is carried out to verify the feasibility and superiority. Results show that the T-S fuzzy neural network control can well track the input in a relative short time. The contrast analysis with conventional PID control and fuzzy control is done to show a better performance under the fuzzy neural network control. The fuzzy neural network control method can adapt to the complex garbage incineration process, which makes it high application value.","PeriodicalId":356250,"journal":{"name":"2015 2nd International Conference on Information Science and Control Engineering","volume":"28 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114165193","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}
A novel ultra wide micro strip balun based on the conventional balun (the micro strip-double parallel line) is proposed in this paper. The new design has been simulated and validated by measurement. Measured results of about -4.5dB insert loss and 180o phase gap have been achieved across the bandwidth from 3GHz to 50 GHz, the size is about 10mm *7mm.
{"title":"Design of a Novel Ultra Wide Band Balance Microstrip Balun","authors":"Zhongpu Li, Jinxian Liu","doi":"10.1109/ICISCE.2015.160","DOIUrl":"https://doi.org/10.1109/ICISCE.2015.160","url":null,"abstract":"A novel ultra wide micro strip balun based on the conventional balun (the micro strip-double parallel line) is proposed in this paper. The new design has been simulated and validated by measurement. Measured results of about -4.5dB insert loss and 180o phase gap have been achieved across the bandwidth from 3GHz to 50 GHz, the size is about 10mm *7mm.","PeriodicalId":356250,"journal":{"name":"2015 2nd International Conference on Information Science and Control Engineering","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114818240","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}
This paper presents a novel particle swarm optimization algorithm with an intelligent weighting mechanism, which is termed as weighted particle swarm optimization (WPSO) for short. The intelligent weighting mechanism is developed based on an effectiveness index to improve performance on a diverse set of problems and enhance the ability of local search infeasible region. Three search techniques, a non-uniform mutation operator, a differential mutation operator, and a local random search procedure are used to mutate the global best position and combined to get a further improved solution by using the weighted average. The performance of WPSO is tested on a set of well-known optimization benchmark functions and the optimization results are compared with four reported optimization methods in terms of solution quality and convergence speed. The experimental results demonstrate superior performance of the WPSO in solving optimization problems compared with other optimization methods.
{"title":"A Novel Particle Swarm Optimization Algorithm with Intelligent Weighting Mechanism","authors":"Cong Hao, Youqing Wang, Jianyong Tuo","doi":"10.1109/ICISCE.2015.19","DOIUrl":"https://doi.org/10.1109/ICISCE.2015.19","url":null,"abstract":"This paper presents a novel particle swarm optimization algorithm with an intelligent weighting mechanism, which is termed as weighted particle swarm optimization (WPSO) for short. The intelligent weighting mechanism is developed based on an effectiveness index to improve performance on a diverse set of problems and enhance the ability of local search infeasible region. Three search techniques, a non-uniform mutation operator, a differential mutation operator, and a local random search procedure are used to mutate the global best position and combined to get a further improved solution by using the weighted average. The performance of WPSO is tested on a set of well-known optimization benchmark functions and the optimization results are compared with four reported optimization methods in terms of solution quality and convergence speed. The experimental results demonstrate superior performance of the WPSO in solving optimization problems compared with other optimization methods.","PeriodicalId":356250,"journal":{"name":"2015 2nd International Conference on Information Science and Control Engineering","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115735576","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}
Multiphase level set model is sensitive to initial contour curve and has huge computation in the process of the multiple objects' segmentation. This paper presents a novel Image segmentation method for multiphase scenario, which initialize the multiphase level set function by coarse image segmentation using fuzzy C-means clustering algorithm and apply graph cut algorithm to acquire multiphase output image. The method effectively reduces the sensitivity of the multiphase level set algorithm to initial contour and is easier to gain the multiphase output image by graph cut algorithm. At the same time, because of using the graph cut algorithm, the multiphase level set function quickly converge to the minimum energy value with small amount of calculation and high computational efficiency. The experiments show that this method has better segmentation effect and higher efficiency of image segmentation.
{"title":"An Image Segmentation Method by Combining Fuzzy C-Means Clustering and Graph Cuts Optimization for Multiphase Level Set Algorithms","authors":"Lin Song, M. Gao, Sa Wang, Shuxia Wang","doi":"10.1109/ICISCE.2015.141","DOIUrl":"https://doi.org/10.1109/ICISCE.2015.141","url":null,"abstract":"Multiphase level set model is sensitive to initial contour curve and has huge computation in the process of the multiple objects' segmentation. This paper presents a novel Image segmentation method for multiphase scenario, which initialize the multiphase level set function by coarse image segmentation using fuzzy C-means clustering algorithm and apply graph cut algorithm to acquire multiphase output image. The method effectively reduces the sensitivity of the multiphase level set algorithm to initial contour and is easier to gain the multiphase output image by graph cut algorithm. At the same time, because of using the graph cut algorithm, the multiphase level set function quickly converge to the minimum energy value with small amount of calculation and high computational efficiency. The experiments show that this method has better segmentation effect and higher efficiency of image segmentation.","PeriodicalId":356250,"journal":{"name":"2015 2nd International Conference on Information Science and Control Engineering","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116052414","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}
CGEA (Convergence Gradients Expectation Ant algorithm) is proposed in this paper, which can get the optimal path quickly by precomputing the Convergence grads expectation of improved ant algorithm. QoS metrics of link can be measured by expectation function and the optimal path can be got efficiently by comparing the convergence grads.
{"title":"One Multi-constraint QoS Routing Algorithm CGEA Based on Ant Colony System","authors":"Ben-Lai Liang, J. Yu","doi":"10.1109/ICISCE.2015.193","DOIUrl":"https://doi.org/10.1109/ICISCE.2015.193","url":null,"abstract":"CGEA (Convergence Gradients Expectation Ant algorithm) is proposed in this paper, which can get the optimal path quickly by precomputing the Convergence grads expectation of improved ant algorithm. QoS metrics of link can be measured by expectation function and the optimal path can be got efficiently by comparing the convergence grads.","PeriodicalId":356250,"journal":{"name":"2015 2nd International Conference on Information Science and Control Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122897328","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}
It is a big challenge to establish a dynamic access control model to secure applications in open and dynamic environment. The dynamic feature of an access control system is sometimes related with that of applications of open environment. This paper analyzes first the reason that causes the dynamic change of access control systems and then proposes a five-level access control architecture which describes the relation between access control systems and applications, and also distinguishes two kinds of actions that may cause changes of the access control components and resources, respectively. This paper uses Role-based Access Control (RBAC) as a reference access control model and Web services as the example of applications so as to propose a special dynamic access control model. To give a formal representation of the two kind actions, this paper also proposes a dynamic description logic-based formalism.
{"title":"A Multi-level Dynamic Access Control Model and Its Formalization","authors":"Yanjie Zhou, Li Ma, Min Wen","doi":"10.1109/ICISCE.2015.14","DOIUrl":"https://doi.org/10.1109/ICISCE.2015.14","url":null,"abstract":"It is a big challenge to establish a dynamic access control model to secure applications in open and dynamic environment. The dynamic feature of an access control system is sometimes related with that of applications of open environment. This paper analyzes first the reason that causes the dynamic change of access control systems and then proposes a five-level access control architecture which describes the relation between access control systems and applications, and also distinguishes two kinds of actions that may cause changes of the access control components and resources, respectively. This paper uses Role-based Access Control (RBAC) as a reference access control model and Web services as the example of applications so as to propose a special dynamic access control model. To give a formal representation of the two kind actions, this paper also proposes a dynamic description logic-based formalism.","PeriodicalId":356250,"journal":{"name":"2015 2nd International Conference on Information Science and Control Engineering","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124160466","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}
Simultaneous position and force tracking are two critical factors in teleportation systems to achieve transparency. In this paper, a new control scheme is proposed to guarantee asymptotic position and force tracking in teleportation systems with disturbances. To this end, two sliding mode controllers are designed for the master and the slave robots respectively and are incorporated into the 4-channel teleportation framework. In order to demonstrate the validity of the proposed control scheme, the performance of the overall teleportation control system is rigorously proved and analyzed in a mathematical way. The analysis results show that the designed teleportation control scheme can simultaneously achieve asymptotic position and force tracking performance of the master and the slave robots.
{"title":"Design and Analysis of Position/Force Control in Teleoperation Systems with Disturbances","authors":"Xia Liu, Yong Chen","doi":"10.1109/ICISCE.2015.159","DOIUrl":"https://doi.org/10.1109/ICISCE.2015.159","url":null,"abstract":"Simultaneous position and force tracking are two critical factors in teleportation systems to achieve transparency. In this paper, a new control scheme is proposed to guarantee asymptotic position and force tracking in teleportation systems with disturbances. To this end, two sliding mode controllers are designed for the master and the slave robots respectively and are incorporated into the 4-channel teleportation framework. In order to demonstrate the validity of the proposed control scheme, the performance of the overall teleportation control system is rigorously proved and analyzed in a mathematical way. The analysis results show that the designed teleportation control scheme can simultaneously achieve asymptotic position and force tracking performance of the master and the slave robots.","PeriodicalId":356250,"journal":{"name":"2015 2nd International Conference on Information Science and Control Engineering","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125930532","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 consideration of the difficulty to install speed sensor result from special high temperature working environment of submersible motor, in this paper, a method of sliding mode model reference adaptive observer(SMMRAS) is used to estimate the speed of sensor less vector controlled submersible motor. This method combines variable structure control with model reference adaptive system (MRAS) to improve the accuracy of speed identification, and testability and speediness capability of the system are proved by Yaupon theory. The model of the speed-sensor less vector control system of induction motor is built by MatLab/Simulink. Theoretical analysis and the MATLAB simulation results show that the proposed method used in the system for speed identification has rapid response, and the static and dynamic performance is also perfect.
{"title":"Sliding Mode MRAS Speed Sensorless Vector Control for Submersible Motor","authors":"Shan Bai, He Wang","doi":"10.1109/ICISCE.2015.208","DOIUrl":"https://doi.org/10.1109/ICISCE.2015.208","url":null,"abstract":"In consideration of the difficulty to install speed sensor result from special high temperature working environment of submersible motor, in this paper, a method of sliding mode model reference adaptive observer(SMMRAS) is used to estimate the speed of sensor less vector controlled submersible motor. This method combines variable structure control with model reference adaptive system (MRAS) to improve the accuracy of speed identification, and testability and speediness capability of the system are proved by Yaupon theory. The model of the speed-sensor less vector control system of induction motor is built by MatLab/Simulink. Theoretical analysis and the MATLAB simulation results show that the proposed method used in the system for speed identification has rapid response, and the static and dynamic performance is also perfect.","PeriodicalId":356250,"journal":{"name":"2015 2nd International Conference on Information Science and Control Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129852154","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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