Pub Date : 2018-10-01DOI: 10.1109/ICCAIS.2018.8570416
Liang Ma, Yadong Zhang, Xiaomin Wang
The safety-critical discrete operation system is safety-critical, discrete and flow driven. The application of dispatching command system and process control system reduces the work intensity. However, information isolation and human operation may lead to insecurity, inefficiency and high cost. In order to ensure production safety, reduce attrition and increase efficiency, firstly, based on the unified multi-dimensional information integration platform, a broader safety-critical management-control integration (SCMCI) theory was put forward. Then, the hierarchical information interlocking (HII) model of SCMCI was established. Finally, the principles, rules and constraints of SCMCI model were proposed. SCMCI technology can realize automatic management of operation planning, automatic execution of control system, and automatic feedback of execution status. The SCMCI technology has been used in production operations management of metro rolling stock base to validate the feasibility of structure, model and algorithm.
{"title":"Management-Control Integration for Safety-Critical Integration for Safety-Critical Discrete Operation System","authors":"Liang Ma, Yadong Zhang, Xiaomin Wang","doi":"10.1109/ICCAIS.2018.8570416","DOIUrl":"https://doi.org/10.1109/ICCAIS.2018.8570416","url":null,"abstract":"The safety-critical discrete operation system is safety-critical, discrete and flow driven. The application of dispatching command system and process control system reduces the work intensity. However, information isolation and human operation may lead to insecurity, inefficiency and high cost. In order to ensure production safety, reduce attrition and increase efficiency, firstly, based on the unified multi-dimensional information integration platform, a broader safety-critical management-control integration (SCMCI) theory was put forward. Then, the hierarchical information interlocking (HII) model of SCMCI was established. Finally, the principles, rules and constraints of SCMCI model were proposed. SCMCI technology can realize automatic management of operation planning, automatic execution of control system, and automatic feedback of execution status. The SCMCI technology has been used in production operations management of metro rolling stock base to validate the feasibility of structure, model and algorithm.","PeriodicalId":223618,"journal":{"name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126317054","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 : 2018-10-01DOI: 10.1109/iccais.2018.8570528
{"title":"The Seventh International Conference on Control Animation and Information Sciences","authors":"","doi":"10.1109/iccais.2018.8570528","DOIUrl":"https://doi.org/10.1109/iccais.2018.8570528","url":null,"abstract":"","PeriodicalId":223618,"journal":{"name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"38 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114043847","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 : 2018-10-01DOI: 10.1109/ICCAIS.2018.8570333
Yuan Huang, S. Chong, T. Song, J. Lee
In over-the-horizon radar (OTHR) applications, one target can generate multiple detections due to the multiple signal propagation paths through the ionosphere. Traditional joint multiple detection data association algorithms suffer from the high computational load when they are applied to OTHR. Different from the traditional joint multiple detection data association structures, a novel scheme is developed based on the modulated clutter measurement density. When a measurement cell, which contains one or more measurements, is associated to a track, the proposed scheme considers not only the possibility that this measurement cell is generated by clutter but also the possibility that this measurement cell is generated from other targets. Using the modulated clutter measurement density, a single target data association structure can be applied to multitarget data association. The simulation results show that the proposed algorithm is much more computationally efficient compared to the traditional joint multiple detection joint data association structures.
{"title":"Multi-path Data Association for Over-the-Horizon Radar Using Linear Multitarget Integrated Probabilistic Data Association","authors":"Yuan Huang, S. Chong, T. Song, J. Lee","doi":"10.1109/ICCAIS.2018.8570333","DOIUrl":"https://doi.org/10.1109/ICCAIS.2018.8570333","url":null,"abstract":"In over-the-horizon radar (OTHR) applications, one target can generate multiple detections due to the multiple signal propagation paths through the ionosphere. Traditional joint multiple detection data association algorithms suffer from the high computational load when they are applied to OTHR. Different from the traditional joint multiple detection data association structures, a novel scheme is developed based on the modulated clutter measurement density. When a measurement cell, which contains one or more measurements, is associated to a track, the proposed scheme considers not only the possibility that this measurement cell is generated by clutter but also the possibility that this measurement cell is generated from other targets. Using the modulated clutter measurement density, a single target data association structure can be applied to multitarget data association. The simulation results show that the proposed algorithm is much more computationally efficient compared to the traditional joint multiple detection joint data association structures.","PeriodicalId":223618,"journal":{"name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130096823","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 : 2018-10-01DOI: 10.1109/ICCAIS.2018.8570421
Mingli Lu, Shuo Cheng, Weijian Qing, Jinliang Cong, Jian Shi
Cell migration is an important process in normal tissue, organ or entire organism development and disease. This paper proposes an ant algorithm based on cardinality estimation for clustered cells state and number estimator simultaneously. Cardinality prediction and updating model based on the existence probability of pheromone field are derived for effectively estimating the number of cells. In order to separate clusters cells, an ant work model based on the pheromone gradient information is developed to guide ants movement towards center of interested cells. Experiment results show that our algorithm could automatically track clustered cells in various scenarios, and, it is more accurate than other popular tracking methods.
{"title":"A Novel Ant-Based Multiple Cells Tracking Approach with Cardinality Estimation","authors":"Mingli Lu, Shuo Cheng, Weijian Qing, Jinliang Cong, Jian Shi","doi":"10.1109/ICCAIS.2018.8570421","DOIUrl":"https://doi.org/10.1109/ICCAIS.2018.8570421","url":null,"abstract":"Cell migration is an important process in normal tissue, organ or entire organism development and disease. This paper proposes an ant algorithm based on cardinality estimation for clustered cells state and number estimator simultaneously. Cardinality prediction and updating model based on the existence probability of pheromone field are derived for effectively estimating the number of cells. In order to separate clusters cells, an ant work model based on the pheromone gradient information is developed to guide ants movement towards center of interested cells. Experiment results show that our algorithm could automatically track clustered cells in various scenarios, and, it is more accurate than other popular tracking methods.","PeriodicalId":223618,"journal":{"name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128712076","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 : 2018-10-01DOI: 10.1109/ICCAIS.2018.8570328
Yi Yang, Deqiang Han, J. Dezert
Multiple classifier fusion belongs to the decision-level information fusion, which has been widely used in many pattern classification applications, especially when the single classifier is not competent. However, multiple classifier fusion can not assure the improvement of the classification accuracy. The diversity among those classifiers in the multiple classifier system (MCS) is crucial for improving the fused classification accuracy. Various diversity measures for MCS have been proposed, which are mainly based on the average sample-wise classification consistency between different member classifiers. In this paper, we propose to define the diversity between member classifiers from a different standpoint. If different member classifiers in an MCS are good at classifying different classes, i.e., there exist expert-classifiers for each concerned class, the improvement of the accuracy of classifier fusion can be expected. Each classifier has a ranking of classes in term of the classification accuracies, based on which, a new diversity measure is implemented using the ranking distance. A larger average ranking distance represents a higher diversity. The new proposed diversity measure is used together with each single classifier's performance on training samples to design and optimize the MCS. Experiments, simulations, and related analyses are provided to illustrate and validate our new proposed diversity measure.
{"title":"A Ranking Distance Based Diversity Measure for Multiple Classifier Systems","authors":"Yi Yang, Deqiang Han, J. Dezert","doi":"10.1109/ICCAIS.2018.8570328","DOIUrl":"https://doi.org/10.1109/ICCAIS.2018.8570328","url":null,"abstract":"Multiple classifier fusion belongs to the decision-level information fusion, which has been widely used in many pattern classification applications, especially when the single classifier is not competent. However, multiple classifier fusion can not assure the improvement of the classification accuracy. The diversity among those classifiers in the multiple classifier system (MCS) is crucial for improving the fused classification accuracy. Various diversity measures for MCS have been proposed, which are mainly based on the average sample-wise classification consistency between different member classifiers. In this paper, we propose to define the diversity between member classifiers from a different standpoint. If different member classifiers in an MCS are good at classifying different classes, i.e., there exist expert-classifiers for each concerned class, the improvement of the accuracy of classifier fusion can be expected. Each classifier has a ranking of classes in term of the classification accuracies, based on which, a new diversity measure is implemented using the ranking distance. A larger average ranking distance represents a higher diversity. The new proposed diversity measure is used together with each single classifier's performance on training samples to design and optimize the MCS. Experiments, simulations, and related analyses are provided to illustrate and validate our new proposed diversity measure.","PeriodicalId":223618,"journal":{"name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128883567","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 : 2018-10-01DOI: 10.1109/ICCAIS.2018.8570551
Lifan Sun, Yayuan Zhang, Zhumu Fu, Guoqianhg Zheng, Zishu He, J. Pu
Multi-sensor systems are able to obtain various measurement data, but their accuracy and reliability are difficult to be guaranteed, thus the decision-makings using these data are likely contrary to the facts. In view of this, an approach to multi-sensor decision fusion based on improved Jousselme evidence distance is proposed in the framework of D-S evidence theory. By rationally dividing the similarity Jaccard coefficient matrix, the evidences about conflicted sensor node are described accurately and their weights are reallocated by correction. This facilitates the final decision fusion. Numerical experimental results demonstrate that the proposed decision fusion approach based on the improved Jousselme distance achieves better performance than some existed approaches and largely reduces the uncertainty of the fused decision. To sum up, our approach not only recognizes the evidence about conflicted sensor node rapidly, but also has less risk of decision-makings.
{"title":"An Approach to Multi-Sensor Decision Fusion Based on the Improved Jousselme Evidence Distance","authors":"Lifan Sun, Yayuan Zhang, Zhumu Fu, Guoqianhg Zheng, Zishu He, J. Pu","doi":"10.1109/ICCAIS.2018.8570551","DOIUrl":"https://doi.org/10.1109/ICCAIS.2018.8570551","url":null,"abstract":"Multi-sensor systems are able to obtain various measurement data, but their accuracy and reliability are difficult to be guaranteed, thus the decision-makings using these data are likely contrary to the facts. In view of this, an approach to multi-sensor decision fusion based on improved Jousselme evidence distance is proposed in the framework of D-S evidence theory. By rationally dividing the similarity Jaccard coefficient matrix, the evidences about conflicted sensor node are described accurately and their weights are reallocated by correction. This facilitates the final decision fusion. Numerical experimental results demonstrate that the proposed decision fusion approach based on the improved Jousselme distance achieves better performance than some existed approaches and largely reduces the uncertainty of the fused decision. To sum up, our approach not only recognizes the evidence about conflicted sensor node rapidly, but also has less risk of decision-makings.","PeriodicalId":223618,"journal":{"name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127855347","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 : 2018-10-01DOI: 10.1109/ICCAIS.2018.8570521
Zhixin Li, Desheng Wen, Zongxi Song
Fourier Ptychography (FP) is a new method for long-distance, sub-diffraction imaging. However, due to the coherence of laser-illumination and the scattering of the objects' surface, there will be obvious laser speckle noise in measured images. In this work, we reconstruct the high-resolution image following two steps: the first step is to recover the Fourier spectrum using truncated amplitude flow algorithm, and the second step is to enhance the noisy recovered images using denoisers during reconstruction. It's demonstrated that this method can effectively suppress speckle noise, improve PSNR about 7dB and improve SSIM about 0.2 compared with other algorithms.
{"title":"Speckle Reduction for Long Distance Fourier Ptychography Using Truncated Amplitude Flow and Filtering","authors":"Zhixin Li, Desheng Wen, Zongxi Song","doi":"10.1109/ICCAIS.2018.8570521","DOIUrl":"https://doi.org/10.1109/ICCAIS.2018.8570521","url":null,"abstract":"Fourier Ptychography (FP) is a new method for long-distance, sub-diffraction imaging. However, due to the coherence of laser-illumination and the scattering of the objects' surface, there will be obvious laser speckle noise in measured images. In this work, we reconstruct the high-resolution image following two steps: the first step is to recover the Fourier spectrum using truncated amplitude flow algorithm, and the second step is to enhance the noisy recovered images using denoisers during reconstruction. It's demonstrated that this method can effectively suppress speckle noise, improve PSNR about 7dB and improve SSIM about 0.2 compared with other algorithms.","PeriodicalId":223618,"journal":{"name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132096059","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 : 2018-10-01DOI: 10.1109/ICCAIS.2018.8570615
Yan Gao, Lian-chuan Ma, Yuan Cao
In order to improve the safety and reliability of the safety computer of the next generation train operation control system, the safety computer using the structure of 2-vote-2 is playing an increasingly important role, and the requirements for the performance and reliability are getting higher and higher. As a real-time system, the synchronization problem of the safety computer is the key to achieving reliability. Therefore, this paper focuses on the analysis and studies on the synchronization problems of the 2-vote-2 safety computer. First of all, the structure of the 2-vote-2 safety computer is analyzed and the synchronization mechanism is designed. A new hierarchical synchronization mechanism is proposed, the bidirectional timing supervision monitor is set up between different levels to achieve the synchronization process of the 2-vote-2 safety computer. Based on this, system software uses task cycle scheduling control and dual-module communication to process the input, calculation and output tasks, synchronize in each task point of the control cycle and achieve the task synchronization. The system's model is built by UPPAAL which based on timed automata, the model is verified and the verification results showed that the designed hierarchical synchronization mechanism conformed to the requirements of design specifications.
{"title":"The Research of Hierarchical Synchronization Mechanism About 2-Vote-2 Safety Computer","authors":"Yan Gao, Lian-chuan Ma, Yuan Cao","doi":"10.1109/ICCAIS.2018.8570615","DOIUrl":"https://doi.org/10.1109/ICCAIS.2018.8570615","url":null,"abstract":"In order to improve the safety and reliability of the safety computer of the next generation train operation control system, the safety computer using the structure of 2-vote-2 is playing an increasingly important role, and the requirements for the performance and reliability are getting higher and higher. As a real-time system, the synchronization problem of the safety computer is the key to achieving reliability. Therefore, this paper focuses on the analysis and studies on the synchronization problems of the 2-vote-2 safety computer. First of all, the structure of the 2-vote-2 safety computer is analyzed and the synchronization mechanism is designed. A new hierarchical synchronization mechanism is proposed, the bidirectional timing supervision monitor is set up between different levels to achieve the synchronization process of the 2-vote-2 safety computer. Based on this, system software uses task cycle scheduling control and dual-module communication to process the input, calculation and output tasks, synchronize in each task point of the control cycle and achieve the task synchronization. The system's model is built by UPPAAL which based on timed automata, the model is verified and the verification results showed that the designed hierarchical synchronization mechanism conformed to the requirements of design specifications.","PeriodicalId":223618,"journal":{"name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122370025","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}
Traffic Engineering (TE) is an important mechanism for Internet service providers (ISPs) seeking to optimize network performance and traffic delivery. The routing optimization plays a key role in TE, which finds efficient routes to meet the desired network performance needs. Although SDN is attractive for its efficiency in TE, before the overall implementation, backward compatibility is very important for the network evolvement. To support the compatibility for hybrid SDN, in the prior literature, Fibbing- a method of achieving flexibility and robustness by centralized control based on distributed routing has been proposed. In Fibbing architecture, routers are enabled to calculate their own forwarding tables based on the new topology, by introducing virtual nodes and links into the original topology. In this paper, after the topology augmentation process, a Merger-Backward (MB) merging algorithm is proposed to reduce the size of the augmented topology and the network overhead. Results show that the proposed MB algorithm can merge more fake nodes and take shorter time to compute the augmented topology than Merger-Forward (MF) to some extent especially when the topology is large.
{"title":"Fibbing Based Topology Augmentation in Hybrid SDN","authors":"Yuxue Hu, Mei Song, Xiaoshi Fang, Yinglei Teng, Yong Zhang, Chao Cheng, Zhengchao Chen","doi":"10.1109/ICCAIS.2018.8570665","DOIUrl":"https://doi.org/10.1109/ICCAIS.2018.8570665","url":null,"abstract":"Traffic Engineering (TE) is an important mechanism for Internet service providers (ISPs) seeking to optimize network performance and traffic delivery. The routing optimization plays a key role in TE, which finds efficient routes to meet the desired network performance needs. Although SDN is attractive for its efficiency in TE, before the overall implementation, backward compatibility is very important for the network evolvement. To support the compatibility for hybrid SDN, in the prior literature, Fibbing- a method of achieving flexibility and robustness by centralized control based on distributed routing has been proposed. In Fibbing architecture, routers are enabled to calculate their own forwarding tables based on the new topology, by introducing virtual nodes and links into the original topology. In this paper, after the topology augmentation process, a Merger-Backward (MB) merging algorithm is proposed to reduce the size of the augmented topology and the network overhead. Results show that the proposed MB algorithm can merge more fake nodes and take shorter time to compute the augmented topology than Merger-Forward (MF) to some extent especially when the topology is large.","PeriodicalId":223618,"journal":{"name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128358082","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 : 2018-10-01DOI: 10.1109/ICCAIS.2018.8570494
A. J. Bautista, S. Wane
Robotics is heralded as an integral part of precision farming, the application of technology to aid the solution of the burdening food shortage. However, robotics is quite intimidating to some students and a challenging subject to handle for professors, particularly as the vehicles used in agriculture can be rather large and powerful. The objective of this research is to develop an interactive teaching tool that can be used to learn the fundamentals of robotics and autonomous navigation as a springboard to the larger agricultural robots. This paper discusses the results of using a robot, named ATLAS due to its use of GPS navigation. Various behaviors that the robot can accomplish were included, such as following a wall surface, and navigating to a target waypoint or set of waypoints. Some real projects developed by students who used the ATLAS robot in their study are also presented. Furthermore, this paper can be used by different educational institutions as an alternative teaching approach in handling robotics subject.
{"title":"ATLAS Robot:A Teaching Tool for Autonomous Agricultural Mobile Robotics","authors":"A. J. Bautista, S. Wane","doi":"10.1109/ICCAIS.2018.8570494","DOIUrl":"https://doi.org/10.1109/ICCAIS.2018.8570494","url":null,"abstract":"Robotics is heralded as an integral part of precision farming, the application of technology to aid the solution of the burdening food shortage. However, robotics is quite intimidating to some students and a challenging subject to handle for professors, particularly as the vehicles used in agriculture can be rather large and powerful. The objective of this research is to develop an interactive teaching tool that can be used to learn the fundamentals of robotics and autonomous navigation as a springboard to the larger agricultural robots. This paper discusses the results of using a robot, named ATLAS due to its use of GPS navigation. Various behaviors that the robot can accomplish were included, such as following a wall surface, and navigating to a target waypoint or set of waypoints. Some real projects developed by students who used the ATLAS robot in their study are also presented. Furthermore, this paper can be used by different educational institutions as an alternative teaching approach in handling robotics subject.","PeriodicalId":223618,"journal":{"name":"2018 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"234 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122623265","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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