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Proceedings of the 2019 International Conference on Artificial Intelligence, Robotics and Control最新文献

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Measurement Model of Smart Factory Technology in Manufacturing Fields based on IIoT and CPS 基于工业物联网和CPS的制造领域智能工厂技术测量模型
Proceedings of the 2019 International Conference on Artificial Intelligence, Robotics and Control Pub Date : 2019-12-14 DOI: 10.1145/3388218.3388226
C. Yoon
{"title":"Measurement Model of Smart Factory Technology in Manufacturing Fields based on IIoT and CPS","authors":"C. Yoon","doi":"10.1145/3388218.3388226","DOIUrl":"https://doi.org/10.1145/3388218.3388226","url":null,"abstract":"Smart factory in manufacturing industry has driven as a critical manufacturing industry policy in the 4th industrial revolution. Manufacturing industry has also built its smart technology environment appropriate for its manufacturing fields in order to improve its production activity and competitiveness. Its smart factory is very crucial for its innovative production and business activities, and for the efficient advancement of its performance. For managing and upgrading smart factory, an objective measurement framework has to be developed to reasonably gauge a smart factory technology of manufacturing fields. The trends of smart factory technology have generally been researched as major technologies such as IIoT and CPS. This research develops a measurement framework for the smart factory technology of manufacturing fields based on IIoT and CPS technologies. The measurement model for a smart factory technology consists of IIoT and CPS measurement domains. Each measurement domain has three or four measurement factors with twelve or sixteen measurement items. Hence, this study presents a measurement model that can gauge the smart factory technology of manufacturing fields with two measurement domains, seven measurement factors, and twenty-eight measurement items in a smart factory technology perspective.","PeriodicalId":345276,"journal":{"name":"Proceedings of the 2019 International Conference on Artificial Intelligence, Robotics and Control","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129046225","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}
引用次数: 3
Estimation of Obstacle Contact Force and Position for Robots in Task Space 任务空间中机器人障碍物接触力和位置的估计
Proceedings of the 2019 International Conference on Artificial Intelligence, Robotics and Control Pub Date : 2019-12-14 DOI: 10.1145/3388218.3388219
H. Kawasaki, Tetuya Mouri, S. Ueki, Toshitake Yanagawa, Haruo Nagayama
{"title":"Estimation of Obstacle Contact Force and Position for Robots in Task Space","authors":"H. Kawasaki, Tetuya Mouri, S. Ueki, Toshitake Yanagawa, Haruo Nagayama","doi":"10.1145/3388218.3388219","DOIUrl":"https://doi.org/10.1145/3388218.3388219","url":null,"abstract":"This paper presents a disturbance observer for robots that can estimate obstacle contact force and position in relation to the environment. The disturbance observer operates in task space, eliminating the need to measure accelerations. The global exponential convergence of the estimated disturbances to the true values was proven based on Lyapunov's theory. An experiment using a tree-pruning robot which has the possibility of colliding with tree branches is presented to show the effectiveness of the proposed disturbance observer.","PeriodicalId":345276,"journal":{"name":"Proceedings of the 2019 International Conference on Artificial Intelligence, Robotics and Control","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126733879","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}
引用次数: 0
Efficient Traffic Signal Control for Multi-phase Intersections 多相交叉口的有效交通信号控制
Proceedings of the 2019 International Conference on Artificial Intelligence, Robotics and Control Pub Date : 2019-12-14 DOI: 10.1145/3388218.3388223
F. Bouriachi, B. Tolbi, K. Saidi, O. K. Kloucha
{"title":"Efficient Traffic Signal Control for Multi-phase Intersections","authors":"F. Bouriachi, B. Tolbi, K. Saidi, O. K. Kloucha","doi":"10.1145/3388218.3388223","DOIUrl":"https://doi.org/10.1145/3388218.3388223","url":null,"abstract":"In this paper, we present an efficient traffic signal control strategy for multi-phase intersections. This strategy is used to determine the signal timing for fully actuated traffic control, keeping effective phases times on each cycle. The obtund values can be used to estimate the delay of vehicles. We show that the proposed strategy can be formulated as a nonlinear programming problem, solved by continuous genetic algorithm. We illustrate the proposed control strategy with several traffic scenarios based on real data collected from an existing complex multi-phase intersection in Algiers, Algeria. The experiment results show that the traffic signal plan obtained by the proposed control approach outperforms those currently used traffic signal control strategies under various demand scenarios.","PeriodicalId":345276,"journal":{"name":"Proceedings of the 2019 International Conference on Artificial Intelligence, Robotics and Control","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130206769","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}
引用次数: 0
The Use of Word2vec Model in Sentiment Analysis: A Survey Word2vec模型在情感分析中的应用综述
Proceedings of the 2019 International Conference on Artificial Intelligence, Robotics and Control Pub Date : 2019-12-14 DOI: 10.1145/3388218.3388229
Samar Al-Saqqa, A. Awajan
{"title":"The Use of Word2vec Model in Sentiment Analysis: A Survey","authors":"Samar Al-Saqqa, A. Awajan","doi":"10.1145/3388218.3388229","DOIUrl":"https://doi.org/10.1145/3388218.3388229","url":null,"abstract":"Sentiment analysis is an area that gains wide interest from research because of its importance and advantages in various fields. Different approaches and techniques are used to classify the sentiment of texts. Word embedding is one of the effective methods that represent aspects of word meaning and help to improve sentiment classification accuracy. Word2vec is well-known and widely used in learning word embedding that includes two models: Skip-Gram (SG) model and Continuous Bag-of-Words model (CBOW). Some of the studies use one of these models and other studies use both of them. In this survey, we highlight the latest studies on using the Word2vec model for sentiment analysis and its role in improving sentiment classification accuracy.","PeriodicalId":345276,"journal":{"name":"Proceedings of the 2019 International Conference on Artificial Intelligence, Robotics and Control","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123642827","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}
引用次数: 29
Multiple Waypoint Mobile Robot Path Planning Using Neighborhood Search Genetic Algorithms 基于邻域搜索遗传算法的多路点移动机器人路径规划
Proceedings of the 2019 International Conference on Artificial Intelligence, Robotics and Control Pub Date : 2019-12-14 DOI: 10.1145/3388218.3388225
D. Maddi, A. Sheta, A. Mahdy, H. Turabieh
{"title":"Multiple Waypoint Mobile Robot Path Planning Using Neighborhood Search Genetic Algorithms","authors":"D. Maddi, A. Sheta, A. Mahdy, H. Turabieh","doi":"10.1145/3388218.3388225","DOIUrl":"https://doi.org/10.1145/3388218.3388225","url":null,"abstract":"In this paper, we present a Neighborhood Search Genetic Algorithms (NSGAs) for mobile robot path planning. GAs have been used successfully in a variety of path planning problem because they can search the space of all possible paths and provide the optimal one. The convergence process of GAs might be lengthy compared to traditional search techniques that depend on local search methods. We propose a hybrid approach that allows GAs to combine both the advantages of GAs and local search algorithms. GAs will create a multiple waypoint path allowing a mobile robot to navigate through static obstacles and finding the optimal path in order to approach the target location without collision. The proposed NSGAs has been examined over four different path planning case studies with varying complexity. The performance of the enhanced GA has been compared with A-star algorithm (A*) standard GA, particle swarm optimization (PSO) algorithm. The obtained results show that the proposed approach is able to get good results compared to other algorithms.","PeriodicalId":345276,"journal":{"name":"Proceedings of the 2019 International Conference on Artificial Intelligence, Robotics and Control","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128912713","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}
引用次数: 1
Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence 从人工智能的角度分析信息物理系统
Proceedings of the 2019 International Conference on Artificial Intelligence, Robotics and Control Pub Date : 2019-08-21 DOI: 10.1145/3388218.3388222
Eric M. S. P. Veith, Lars Fischer, Martin Tröschel, Astrid Nieße
{"title":"Analyzing Cyber-Physical Systems from the Perspective of Artificial Intelligence","authors":"Eric M. S. P. Veith, Lars Fischer, Martin Tröschel, Astrid Nieße","doi":"10.1145/3388218.3388222","DOIUrl":"https://doi.org/10.1145/3388218.3388222","url":null,"abstract":"Principles of modern cyber-physical system (CPS) analysis are based on analytical methods that depend on whether safety or liveness requirements are considered. Complexity is abstracted through different techniques, ranging from stochastic modelling to contracts. However, both distributed heuristics and Artificial Intelligence (AI)-based approaches as well as the user perspective or unpredictable effects, such as accidents or the weather, introduce enough uncertainty to warrant reinforcement-learning-based approaches. This paper compares traditional approaches in the domain of CPS modelling and analysis with the AI researcher perspective to exploring unknown complex systems.","PeriodicalId":345276,"journal":{"name":"Proceedings of the 2019 International Conference on Artificial Intelligence, Robotics and Control","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126885926","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}
引用次数: 14
Proceedings of the 2019 International Conference on Artificial Intelligence, Robotics and Control 2019年人工智能、机器人与控制国际会议论文集
Proceedings of the 2019 International Conference on Artificial Intelligence, Robotics and Control Pub Date : 1900-01-01 DOI: 10.1145/3388218
{"title":"Proceedings of the 2019 International Conference on Artificial Intelligence, Robotics and Control","authors":"","doi":"10.1145/3388218","DOIUrl":"https://doi.org/10.1145/3388218","url":null,"abstract":"","PeriodicalId":345276,"journal":{"name":"Proceedings of the 2019 International Conference on Artificial Intelligence, Robotics and Control","volume":"27 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":"134320642","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}
引用次数: 1
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