Pub Date : 2018-11-01DOI: 10.1109/ICASS.2018.8651950
N. Sabri, A. Tlemçani, A. Chouder
Fault supervision in stand-alone photovoltaic system is one of the most important task to increase the reliability, efficiencies and safety. This paper proposes a fault detection and identification of a stand-alone photovoltaic system based on feed forward Artificial Neural Network (ANN). The input network consist simply of current and voltage for PV, Battery and load. Two consequent ANN are developed respectively, for detection and diagnosis using a real data issued from experimental stand-alone photovoltaic system installed at LREA in the University of Médéa, Algeria. The results show a high rate of good classification for both detection and diagnosis network, which reveals the effectiveness of the proposed method.
{"title":"Intelligent fault supervisory system applied on stand-alone photovoltaic system","authors":"N. Sabri, A. Tlemçani, A. Chouder","doi":"10.1109/ICASS.2018.8651950","DOIUrl":"https://doi.org/10.1109/ICASS.2018.8651950","url":null,"abstract":"Fault supervision in stand-alone photovoltaic system is one of the most important task to increase the reliability, efficiencies and safety. This paper proposes a fault detection and identification of a stand-alone photovoltaic system based on feed forward Artificial Neural Network (ANN). The input network consist simply of current and voltage for PV, Battery and load. Two consequent ANN are developed respectively, for detection and diagnosis using a real data issued from experimental stand-alone photovoltaic system installed at LREA in the University of Médéa, Algeria. The results show a high rate of good classification for both detection and diagnosis network, which reveals the effectiveness of the proposed method.","PeriodicalId":358814,"journal":{"name":"2018 International Conference on Applied Smart Systems (ICASS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128804238","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 : 2018-11-01DOI: 10.1109/ICASS.2018.8651993
Hamza Benyezza, M. Bouhedda, Khaoula Djellout, Amina Saidi
Information and communication technology has contributed to the development of many sectors, particularly in the agricultural sector through the effective transfer and exchange of information across multiple media, such as the Internet. In this context and in this paper an IOT platform based on ThingSpeak and Arduino is developed and tested where the goal is the farmer will be able to control the irrigation by using a pc or smartphone from anywhere and anytime, to monitoring the water parameter and reduce his efforts and also to optimize the use of water.the results test show the success of the system idea.
{"title":"Smart Irrigation System Based Thingspeak and Arduino","authors":"Hamza Benyezza, M. Bouhedda, Khaoula Djellout, Amina Saidi","doi":"10.1109/ICASS.2018.8651993","DOIUrl":"https://doi.org/10.1109/ICASS.2018.8651993","url":null,"abstract":"Information and communication technology has contributed to the development of many sectors, particularly in the agricultural sector through the effective transfer and exchange of information across multiple media, such as the Internet. In this context and in this paper an IOT platform based on ThingSpeak and Arduino is developed and tested where the goal is the farmer will be able to control the irrigation by using a pc or smartphone from anywhere and anytime, to monitoring the water parameter and reduce his efforts and also to optimize the use of water.the results test show the success of the system idea.","PeriodicalId":358814,"journal":{"name":"2018 International Conference on Applied Smart Systems (ICASS)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134112647","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 : 2018-11-01DOI: 10.1109/ICASS.2018.8652037
Abdelaziz Ouadah, A. Hadjali, Fahima Nader
With the rapid development of Cloud Computing and Service Oriented Computing, the processes of selecting web services which gives the same functionality with different quality of service (QoS) become an important issue. To deal with the large number of candidates, Skyline method is used frequently to find the most pertinent Web services that are not dominated by any other service; whenever, i) the number of Skyline Web Services cannot be controlled. ii) Skyline doesn’t allow assigning importance weights to QoS attributes. In this paper we propose an efficient framework to handle the above drawbacks. K-representative Skyline is used to reduce the research space giving users a summary about the full Skyline Web Services. For weighting QoS attributes we propose an enhanced version of Fuzzy AHP method based on natural language and asking fewer efforts to users. To Rank-order pertinent Skyline Web Services we adapt an improved version of Promethee leveraging the outranking relationships between every Skyline Web services. The experimental evaluation performed on QWS dataset illustrates that our framework can better elicitate the user preferences and retrieve the best ranked K-Representative Skyline Web Services.
随着云计算和面向服务计算的快速发展，如何选择具有不同服务质量(QoS)却具有相同功能的web服务成为一个重要问题。为了处理大量的候选服务，经常使用Skyline方法来查找不受任何其他服务支配的最相关的Web服务;无论何时，i) Skyline Web服务的数量无法控制。ii) Skyline不允许为QoS属性分配重要性权重。在本文中，我们提出了一个有效的框架来处理上述缺陷。以k为代表的Skyline用于减少研究空间，为用户提供有关完整Skyline Web服务的摘要。对于QoS属性的权重，提出了一种基于自然语言的改进模糊层次分析法，减少了用户的工作量。为了对相关的Skyline Web服务进行排序，我们采用了Promethee的改进版本，利用每个Skyline Web服务之间的优先排序关系。在QWS数据集上进行的实验评估表明，我们的框架可以更好地激发用户偏好并检索排名最高的K-Representative Skyline Web Services。
{"title":"A Hybrid MCDM Framework for Efficient Web Services Selection Based on QoS","authors":"Abdelaziz Ouadah, A. Hadjali, Fahima Nader","doi":"10.1109/ICASS.2018.8652037","DOIUrl":"https://doi.org/10.1109/ICASS.2018.8652037","url":null,"abstract":"With the rapid development of Cloud Computing and Service Oriented Computing, the processes of selecting web services which gives the same functionality with different quality of service (QoS) become an important issue. To deal with the large number of candidates, Skyline method is used frequently to find the most pertinent Web services that are not dominated by any other service; whenever, i) the number of Skyline Web Services cannot be controlled. ii) Skyline doesn’t allow assigning importance weights to QoS attributes. In this paper we propose an efficient framework to handle the above drawbacks. K-representative Skyline is used to reduce the research space giving users a summary about the full Skyline Web Services. For weighting QoS attributes we propose an enhanced version of Fuzzy AHP method based on natural language and asking fewer efforts to users. To Rank-order pertinent Skyline Web Services we adapt an improved version of Promethee leveraging the outranking relationships between every Skyline Web services. The experimental evaluation performed on QWS dataset illustrates that our framework can better elicitate the user preferences and retrieve the best ranked K-Representative Skyline Web Services.","PeriodicalId":358814,"journal":{"name":"2018 International Conference on Applied Smart Systems (ICASS)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134522159","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 : 2018-11-01DOI: 10.1109/ICASS.2018.8651972
A. Yahiou, A. Bayadi, B. Babes
The present work has the purpose of eliminating these transient inrush currents. So this paper presents a data acquisition system based on dSPACE board 1104, and a laboratory setup experiment to measure the sympathetic inrush current. Moreover, a control switching to mitigate the sympathetic inrush current in a 2 kVA transformer will be developed and applied experimentally in the laboratory and also in the simulations. This control strategy is performed by considering the residual flux at the opening instant of related circuit-breaker. A comparative study is carried out showing the validity of the mitigation technique.
{"title":"Point on Voltage Wave Switching for Sympathetic Inrush Current Reduction.","authors":"A. Yahiou, A. Bayadi, B. Babes","doi":"10.1109/ICASS.2018.8651972","DOIUrl":"https://doi.org/10.1109/ICASS.2018.8651972","url":null,"abstract":"The present work has the purpose of eliminating these transient inrush currents. So this paper presents a data acquisition system based on dSPACE board 1104, and a laboratory setup experiment to measure the sympathetic inrush current. Moreover, a control switching to mitigate the sympathetic inrush current in a 2 kVA transformer will be developed and applied experimentally in the laboratory and also in the simulations. This control strategy is performed by considering the residual flux at the opening instant of related circuit-breaker. A comparative study is carried out showing the validity of the mitigation technique.","PeriodicalId":358814,"journal":{"name":"2018 International Conference on Applied Smart Systems (ICASS)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131846044","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 : 2018-11-01DOI: 10.1109/ICASS.2018.8652023
Zeghdi Zoubir, B. Linda, Abdelmalek Samir, Larabi Abdelkader, Khechiba Kamel
The present paper deals with the introduction of Artificial Intelligent Systems “Neural Networks (ANNs)” in a new power control scheme of wind turbine associated with Doubly Fed Induction Machine. These Neural Networks will be replacing the four fuzzy logic controllers that exist in the process and trained by using the database of this latter. So, the conceived neural network controllers are used to regulate the power flowing between the stator of the DFIG and the power network. The performances of the proposed ANNs controllers added to our system were tested and compared with two other previously proposed techniques based on Proportional-Integral (PI) and Fuzzy Logic (FL) controllers. The simulation test was carried out by means of computational simulations in Matlab/Simulink environment. The obtained results show that the proposed controller exhibits better behavior in terms of settling time, overshoot, robustness with respect to machine parameters variation, and good tracking references.
{"title":"Artificial Neural Networks (ANNs) - Based Robust Tracking Control for DFIG integrated in WECS","authors":"Zeghdi Zoubir, B. Linda, Abdelmalek Samir, Larabi Abdelkader, Khechiba Kamel","doi":"10.1109/ICASS.2018.8652023","DOIUrl":"https://doi.org/10.1109/ICASS.2018.8652023","url":null,"abstract":"The present paper deals with the introduction of Artificial Intelligent Systems “Neural Networks (ANNs)” in a new power control scheme of wind turbine associated with Doubly Fed Induction Machine. These Neural Networks will be replacing the four fuzzy logic controllers that exist in the process and trained by using the database of this latter. So, the conceived neural network controllers are used to regulate the power flowing between the stator of the DFIG and the power network. The performances of the proposed ANNs controllers added to our system were tested and compared with two other previously proposed techniques based on Proportional-Integral (PI) and Fuzzy Logic (FL) controllers. The simulation test was carried out by means of computational simulations in Matlab/Simulink environment. The obtained results show that the proposed controller exhibits better behavior in terms of settling time, overshoot, robustness with respect to machine parameters variation, and good tracking references.","PeriodicalId":358814,"journal":{"name":"2018 International Conference on Applied Smart Systems (ICASS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133867578","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 : 2018-11-01DOI: 10.1109/ICASS.2018.8652034
A. Hentout, Allal Tiberkak, Abderraouf Maoudj, Lotfi Berkat, Abdelkrim Abeb
This paper describes the use of the Radio Frequency IDentification (RFID) technology to search for objects (products) by a set of Automated Guided Vehicles (AGV) evolving inside a 2D grid workspace cluttered with static obstacles (warehouse, etc For this aim, a number of RFID tags are deployed in order to be exploited by the robots carrying out their tasks. In addition, an interaction mechanism based on virtual pheromones to control the robots is described. Furthermore, a stigmergic search for objects of interest is presented; this indirect interaction mechanism is used to control the robots moving inside their workspace while spreading and reading pheromones. The simulation results show the effectiveness of the proposed approach and the minimization of the overall number of visited nodes.
{"title":"Virtual pheromone-based approach for objects searching in RFID-based cyber-physical robotic systems","authors":"A. Hentout, Allal Tiberkak, Abderraouf Maoudj, Lotfi Berkat, Abdelkrim Abeb","doi":"10.1109/ICASS.2018.8652034","DOIUrl":"https://doi.org/10.1109/ICASS.2018.8652034","url":null,"abstract":"This paper describes the use of the Radio Frequency IDentification (RFID) technology to search for objects (products) by a set of Automated Guided Vehicles (AGV) evolving inside a 2D grid workspace cluttered with static obstacles (warehouse, etc For this aim, a number of RFID tags are deployed in order to be exploited by the robots carrying out their tasks. In addition, an interaction mechanism based on virtual pheromones to control the robots is described. Furthermore, a stigmergic search for objects of interest is presented; this indirect interaction mechanism is used to control the robots moving inside their workspace while spreading and reading pheromones. The simulation results show the effectiveness of the proposed approach and the minimization of the overall number of visited nodes.","PeriodicalId":358814,"journal":{"name":"2018 International Conference on Applied Smart Systems (ICASS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128831521","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 : 2018-11-01DOI: 10.1109/ICASS.2018.8651967
M. Abbaci, M. O. Zmirli
In recent years, many blackouts around the world have had an effect on the reliability of voltage sources in power grids. This is due to two events, firstly the liberalization of electricity markets with an increase in cross-border flows, secondly, the increasing penetration rate of renewable sources such as wind turbines and photovoltaic cells. An important tool for improving the analysis and protection of the electricity grid is the technology of synchrophasor. The subject consists of improving the performance of synchrophasor for monitoring large electricity networks. In addition, it deals with the characteristics of a new phasor estimation algorithm. This paper presents a new phasor estimation method using the modified Cooley-Tukey Fast Fourier Transform (CTFFT) algorithm based on Generalized Discrete Fourier Transform (GDFT). To validate the proposed method, the obtained simulation results are compared with the Discrete Fourier Transform (DFT) estimation algorithm.
{"title":"Performance Evaluation of PMU using Modified Cooley-Tukey Algorithm Based on GDFT","authors":"M. Abbaci, M. O. Zmirli","doi":"10.1109/ICASS.2018.8651967","DOIUrl":"https://doi.org/10.1109/ICASS.2018.8651967","url":null,"abstract":"In recent years, many blackouts around the world have had an effect on the reliability of voltage sources in power grids. This is due to two events, firstly the liberalization of electricity markets with an increase in cross-border flows, secondly, the increasing penetration rate of renewable sources such as wind turbines and photovoltaic cells. An important tool for improving the analysis and protection of the electricity grid is the technology of synchrophasor. The subject consists of improving the performance of synchrophasor for monitoring large electricity networks. In addition, it deals with the characteristics of a new phasor estimation algorithm. This paper presents a new phasor estimation method using the modified Cooley-Tukey Fast Fourier Transform (CTFFT) algorithm based on Generalized Discrete Fourier Transform (GDFT). To validate the proposed method, the obtained simulation results are compared with the Discrete Fourier Transform (DFT) estimation algorithm.","PeriodicalId":358814,"journal":{"name":"2018 International Conference on Applied Smart Systems (ICASS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128515599","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 : 2018-11-01DOI: 10.1109/ICASS.2018.8652027
K. Benaggoune, H. Mouss, A. A. Abdessemed, M. Bensakhria
Prognostic and Health Management of multi-components systems is a challenging task, where different types of dependencies may exist. To tackle the complexity of such system, many distributed approaches are proposed. They deal with structural and functional dependencies and suppose that components are independent, which is not the case in reality. The transition of one component to more degraded states may affect other dependent components. In this paper we address the problem of prognosing components under stochastic dependence, we propose a prognostic based agent function in which a set of agents interact and coordinate to estimate the component remaining useful life with degradation interactions in a distributed manner. The simulation of an example taken from the literature is done on jade frame work, the results indicate that the precision of the component RUL is enhanced.
{"title":"Agent-based prognostic function for multicomponents system with stochastic dependence","authors":"K. Benaggoune, H. Mouss, A. A. Abdessemed, M. Bensakhria","doi":"10.1109/ICASS.2018.8652027","DOIUrl":"https://doi.org/10.1109/ICASS.2018.8652027","url":null,"abstract":"Prognostic and Health Management of multi-components systems is a challenging task, where different types of dependencies may exist. To tackle the complexity of such system, many distributed approaches are proposed. They deal with structural and functional dependencies and suppose that components are independent, which is not the case in reality. The transition of one component to more degraded states may affect other dependent components. In this paper we address the problem of prognosing components under stochastic dependence, we propose a prognostic based agent function in which a set of agents interact and coordinate to estimate the component remaining useful life with degradation interactions in a distributed manner. The simulation of an example taken from the literature is done on jade frame work, the results indicate that the precision of the component RUL is enhanced.","PeriodicalId":358814,"journal":{"name":"2018 International Conference on Applied Smart Systems (ICASS)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115845841","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 : 2018-11-01DOI: 10.1109/ICASS.2018.8652055
M. Deriche, Ahmed Hafaifab, Kamel Mohammedia
Solar photovoltaic technology produced electricity by conversion of solar radiation, it is the raison why this technology is friendly to the environment, in the daytime solar PV technology does not consume fossil energy that produces CO2 emissions, but it consumes energy in the phase of extraction of the raw material, manufacturing, transportation and installation...etc. this paper aims to investigate the energy requirement (consumption) of PV modules and Balance of the systems (BOS) and calculated the energy pay-back time and CO2 emission profit of monocrystalline photovoltaic system.
{"title":"EPBT and CO2 emission from solar PV monocrystaline silicon","authors":"M. Deriche, Ahmed Hafaifab, Kamel Mohammedia","doi":"10.1109/ICASS.2018.8652055","DOIUrl":"https://doi.org/10.1109/ICASS.2018.8652055","url":null,"abstract":"Solar photovoltaic technology produced electricity by conversion of solar radiation, it is the raison why this technology is friendly to the environment, in the daytime solar PV technology does not consume fossil energy that produces CO2 emissions, but it consumes energy in the phase of extraction of the raw material, manufacturing, transportation and installation...etc. this paper aims to investigate the energy requirement (consumption) of PV modules and Balance of the systems (BOS) and calculated the energy pay-back time and CO2 emission profit of monocrystalline photovoltaic system.","PeriodicalId":358814,"journal":{"name":"2018 International Conference on Applied Smart Systems (ICASS)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114349177","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 : 2018-11-01DOI: 10.1109/ICASS.2018.8651989
H. Fethia, Tlemçani Abdelhalim, Abbadi Amel, M. Ahmed, B. M. Seghir
The absence of a deterministic algorithm able to solve, in an optimal way and in a reasonable calculation time, combinatorial optimization problems, is the reason to move towards approximate algorithms of research called metaheuristics. This paper discusses the application of DTC on PM synchronous motor in closed loop and presents a comparative study between classical and meta-heuristic algorithms to tune the Proportional Integrator rotor speed gain, in order to resolve problems associated with conventional Proportional Integrator speed controller which is often characterized by an overshoot during start up. Complete simulation model for direct torque control of PMSMincorporating the proposed speed controller is developed in Matlab/Simulink software. Its simulated performances are then compared to those of a classical Proportional Integrator controller
{"title":"Tuning gain of PI controller based on Meta-heuristic techniques","authors":"H. Fethia, Tlemçani Abdelhalim, Abbadi Amel, M. Ahmed, B. M. Seghir","doi":"10.1109/ICASS.2018.8651989","DOIUrl":"https://doi.org/10.1109/ICASS.2018.8651989","url":null,"abstract":"The absence of a deterministic algorithm able to solve, in an optimal way and in a reasonable calculation time, combinatorial optimization problems, is the reason to move towards approximate algorithms of research called metaheuristics. This paper discusses the application of DTC on PM synchronous motor in closed loop and presents a comparative study between classical and meta-heuristic algorithms to tune the Proportional Integrator rotor speed gain, in order to resolve problems associated with conventional Proportional Integrator speed controller which is often characterized by an overshoot during start up. Complete simulation model for direct torque control of PMSMincorporating the proposed speed controller is developed in Matlab/Simulink software. Its simulated performances are then compared to those of a classical Proportional Integrator controller","PeriodicalId":358814,"journal":{"name":"2018 International Conference on Applied Smart Systems (ICASS)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126375326","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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