Pub Date : 2018-08-01DOI: 10.1109/ICAMECHS.2018.8506868
Xiangjun Li, Dong Zhang
This paper puts forward an energy management strategy to control the output of the hundred megawatt-level battery energy storage stations (BESS), thus to increase the ability of the large scale BESS for autonomous distribution of real time power. Based on the strategy of multi-agent particle swarm optimization, the real time power of the power converter system (PCS) has been calculated. Meanwhile, the layered structure consisting of main-agent, sub area agent, and PCS agent for the BESS are developed. The measured data of the wind power station is used to carry out a simulation analysis for large scale wind farm and BESS hybrid generation systems. It is verified that the control strategy can adaptively allocate the real time total demand of BESS and keep the state of charge for each unit of BESS at a proper level.
{"title":"Coordinated Control and Energy Management Strategies for Hundred Megawatt-level Battery Energy Storage Stations Based on Multi-agent Theory","authors":"Xiangjun Li, Dong Zhang","doi":"10.1109/ICAMECHS.2018.8506868","DOIUrl":"https://doi.org/10.1109/ICAMECHS.2018.8506868","url":null,"abstract":"This paper puts forward an energy management strategy to control the output of the hundred megawatt-level battery energy storage stations (BESS), thus to increase the ability of the large scale BESS for autonomous distribution of real time power. Based on the strategy of multi-agent particle swarm optimization, the real time power of the power converter system (PCS) has been calculated. Meanwhile, the layered structure consisting of main-agent, sub area agent, and PCS agent for the BESS are developed. The measured data of the wind power station is used to carry out a simulation analysis for large scale wind farm and BESS hybrid generation systems. It is verified that the control strategy can adaptively allocate the real time total demand of BESS and keep the state of charge for each unit of BESS at a proper level.","PeriodicalId":325361,"journal":{"name":"2018 International Conference on Advanced Mechatronic Systems (ICAMechS)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124818484","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 : 2018-08-01DOI: 10.1109/ICAMECHS.2018.8507136
A. Yanou
This paper proposes a design method of on-demand type feedback controller based on generalized minimum variance control by using implicit self-tuning control. Coprime factorization approach can extend controller such as generalized minimum variance control (GMVC), generalized predictive control (GPC) and so on. The extended controller includes additional parameter, which can re-design the characteristic of the extended controller. On the other hand, the closed-loop characteristic by the extended controller maintains original one. Although strong stability systems can be obtained by the extended controller in order to design safe systems, focusing on feedback signal, the extended controller can also adjust the magnitude of the feedback signal. That is, the proposed controller can be designed so that the magnitude of the feedback signal becomes zero in the case that the control object is achieved. In other words the feedback signal by the proposed controller can appear on demand of achieving the control object. Therefore this paper proposes on-demand type feedback controller using implicit self-tuning control for plant uncertainty. A numerical example is shown in order to check the characteristic of the proposed method.
{"title":"On-Demand Type Feedback Controller by Implicit Self-Tuning Control","authors":"A. Yanou","doi":"10.1109/ICAMECHS.2018.8507136","DOIUrl":"https://doi.org/10.1109/ICAMECHS.2018.8507136","url":null,"abstract":"This paper proposes a design method of on-demand type feedback controller based on generalized minimum variance control by using implicit self-tuning control. Coprime factorization approach can extend controller such as generalized minimum variance control (GMVC), generalized predictive control (GPC) and so on. The extended controller includes additional parameter, which can re-design the characteristic of the extended controller. On the other hand, the closed-loop characteristic by the extended controller maintains original one. Although strong stability systems can be obtained by the extended controller in order to design safe systems, focusing on feedback signal, the extended controller can also adjust the magnitude of the feedback signal. That is, the proposed controller can be designed so that the magnitude of the feedback signal becomes zero in the case that the control object is achieved. In other words the feedback signal by the proposed controller can appear on demand of achieving the control object. Therefore this paper proposes on-demand type feedback controller using implicit self-tuning control for plant uncertainty. A numerical example is shown in order to check the characteristic of the proposed method.","PeriodicalId":325361,"journal":{"name":"2018 International Conference on Advanced Mechatronic Systems (ICAMechS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123960166","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 : 2018-08-01DOI: 10.1109/ICAMECHS.2018.8507098
Cheng Zeng, S. Xiang
Controlling complex systems to desired states is a very important issue in science and engineering. In the paper, we consider a new class of control systems based on non-cooperative adaptive games which can give some light on this kind of complex systems. It involves a hierarchal decision making structure: one leader and multiple followers. Given any strategy of the leader, the followers can form a non-cooperative adaptive game which may reach a Nash equilibrium. We can study the leader's observability of such an equilibrium which has not be investigated before. It seems to be a new direction of adaptive games from the perspective of control and beyond the frameworks of both the traditional control theory and game theory. More importantly, the resulting adaptive profile is shown to have some nice stability and convergence properties, for example, an asymptotic Nash equilibrium can be reached.
{"title":"Observability of non-cooperative adaptive games","authors":"Cheng Zeng, S. Xiang","doi":"10.1109/ICAMECHS.2018.8507098","DOIUrl":"https://doi.org/10.1109/ICAMECHS.2018.8507098","url":null,"abstract":"Controlling complex systems to desired states is a very important issue in science and engineering. In the paper, we consider a new class of control systems based on non-cooperative adaptive games which can give some light on this kind of complex systems. It involves a hierarchal decision making structure: one leader and multiple followers. Given any strategy of the leader, the followers can form a non-cooperative adaptive game which may reach a Nash equilibrium. We can study the leader's observability of such an equilibrium which has not be investigated before. It seems to be a new direction of adaptive games from the perspective of control and beyond the frameworks of both the traditional control theory and game theory. More importantly, the resulting adaptive profile is shown to have some nice stability and convergence properties, for example, an asymptotic Nash equilibrium can be reached.","PeriodicalId":325361,"journal":{"name":"2018 International Conference on Advanced Mechatronic Systems (ICAMechS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126207550","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 : 2018-08-01DOI: 10.1109/ICAMECHS.2018.8506939
Changan Jiang, S. Ueno
Recently, dielectric elastomer actuator (DEA) has been paid more attention because of its prominent characteristics such as high response, large stretch rate, lightweight etc. However, DEA has hysteresis that may lead the system to exhibit inaccuracies or oscillations and even instability. In this paper, a novel parallel compensation control system is designed for tube-type DEA to compensate the effect of hysteresis. In details, a modified play-type Prandtl-Ishlinskii hysteresis model is built to describe the tube-type DEA. Then, based on properties between play and stop hysteresis operators, a parallel compensator is constructed by using stop hysteresis operator. For rejecting the effect of input disturbance and plant perturbation, disturbance observer (DOB) is designed. To guarantee the tracking performance of the system, a tracking controller is also designed. Finally, simulation results verify the effectiveness of the proposed method.
{"title":"Parallel Compensation control for Tube-type Dielectric elastomer actuator","authors":"Changan Jiang, S. Ueno","doi":"10.1109/ICAMECHS.2018.8506939","DOIUrl":"https://doi.org/10.1109/ICAMECHS.2018.8506939","url":null,"abstract":"Recently, dielectric elastomer actuator (DEA) has been paid more attention because of its prominent characteristics such as high response, large stretch rate, lightweight etc. However, DEA has hysteresis that may lead the system to exhibit inaccuracies or oscillations and even instability. In this paper, a novel parallel compensation control system is designed for tube-type DEA to compensate the effect of hysteresis. In details, a modified play-type Prandtl-Ishlinskii hysteresis model is built to describe the tube-type DEA. Then, based on properties between play and stop hysteresis operators, a parallel compensator is constructed by using stop hysteresis operator. For rejecting the effect of input disturbance and plant perturbation, disturbance observer (DOB) is designed. To guarantee the tracking performance of the system, a tracking controller is also designed. Finally, simulation results verify the effectiveness of the proposed method.","PeriodicalId":325361,"journal":{"name":"2018 International Conference on Advanced Mechatronic Systems (ICAMechS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126907916","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 : 2018-08-01DOI: 10.1109/ICAMECHS.2018.8506885
Guang Jin, M. Deng
In this paper, robust nonlinear forced vibration control method based on operator theory for a flexible plate with piezoelectric actuators is proposed. In the interest of control effect from the piezoelectric actuators to a flexible plate determine the optimal position, the FEM(Finite Element Method) is used. The hysteresis nonlinearity of the piezoelectric actuators is expressed using P-I(Prandtl-Ishlinskii) model. The model of flexible plate is shown. In order to guarantee the stability of a nonlinear control system, the method of guarantee the stability based on the operator theory which is one of the nonlinear control system design approaches is shown. And an operator based method for removal of the disturbance is proposed. Finally, the validity of the designed control system by the simulation results is shown.
{"title":"Robust Nonlinear Forced Vibration Control of a Flexible Plate Based on Operator Theory","authors":"Guang Jin, M. Deng","doi":"10.1109/ICAMECHS.2018.8506885","DOIUrl":"https://doi.org/10.1109/ICAMECHS.2018.8506885","url":null,"abstract":"In this paper, robust nonlinear forced vibration control method based on operator theory for a flexible plate with piezoelectric actuators is proposed. In the interest of control effect from the piezoelectric actuators to a flexible plate determine the optimal position, the FEM(Finite Element Method) is used. The hysteresis nonlinearity of the piezoelectric actuators is expressed using P-I(Prandtl-Ishlinskii) model. The model of flexible plate is shown. In order to guarantee the stability of a nonlinear control system, the method of guarantee the stability based on the operator theory which is one of the nonlinear control system design approaches is shown. And an operator based method for removal of the disturbance is proposed. Finally, the validity of the designed control system by the simulation results is shown.","PeriodicalId":325361,"journal":{"name":"2018 International Conference on Advanced Mechatronic Systems (ICAMechS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121597955","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 : 2018-08-01DOI: 10.1109/ICAMECHS.2018.8507116
Yiqun Zhang, Y. Liu, P. Cai
As an important segment in construction, the constructional quality of masonry engineering has a significant influence on the overall project quality. But because masonry structure construction work is heavy, which involves many construction teams, and all of which are manual operation, there always are quality problems caused by the such technical errors as the masonry “construction joint”, “mortar joint”, material waste and reserved hole not meeting the designated position demands. BIM technology can not only solve the existing technical problems of masonry engineering by deepening the design of block arrangement in advance, but also be used for timely typesetting and error correction, as well as drawing to guide field construction, in case of problems during construction. Together with the feedback on construction problems, dynamic management of the whole construction process ensures masonry project quality. At the same time, the automatic statistics counting function of the block quantity of BIM can carry out fine management of field masonry materials and reduce waste, so as to provide a basis for cost budget. From the above, it is not hard to see that BIM technology plays an important role in quality control and cost control of masonry engineering.
{"title":"Research on masonry structure layout design based on BIM technology*","authors":"Yiqun Zhang, Y. Liu, P. Cai","doi":"10.1109/ICAMECHS.2018.8507116","DOIUrl":"https://doi.org/10.1109/ICAMECHS.2018.8507116","url":null,"abstract":"As an important segment in construction, the constructional quality of masonry engineering has a significant influence on the overall project quality. But because masonry structure construction work is heavy, which involves many construction teams, and all of which are manual operation, there always are quality problems caused by the such technical errors as the masonry “construction joint”, “mortar joint”, material waste and reserved hole not meeting the designated position demands. BIM technology can not only solve the existing technical problems of masonry engineering by deepening the design of block arrangement in advance, but also be used for timely typesetting and error correction, as well as drawing to guide field construction, in case of problems during construction. Together with the feedback on construction problems, dynamic management of the whole construction process ensures masonry project quality. At the same time, the automatic statistics counting function of the block quantity of BIM can carry out fine management of field masonry materials and reduce waste, so as to provide a basis for cost budget. From the above, it is not hard to see that BIM technology plays an important role in quality control and cost control of masonry engineering.","PeriodicalId":325361,"journal":{"name":"2018 International Conference on Advanced Mechatronic Systems (ICAMechS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129079857","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 : 2018-08-01DOI: 10.1109/ICAMECHS.2018.8506987
Xiangbo Kong, Zelin Meng, Lin Meng, Hiroyuki Tomiyama
The proportion of the elderly persons in the world is constantly on the rise, and fall accidents have become a serious problem, especially for those who live alone. Currently, fall detection has attracted a lot of research attention and machine learning (ML) has shown promising performance in this task due to their strengths in person recognition. However, many existing methods using RGB images as the training data, resulting in the main information to be lost, or do not appropriately consider the effect of light, resulting in weak generalizability of the fall detection. Moreover, traditional methods pose a risk of leakage of personal privacy. This paper proposes a fall detection IoT system based on depth camera and fast Fourier transform (FFT) to overcome these problems. We first use depth camera to get the skeleton images of a person who is standing or falling down. We then get the characteristic quantity of these images and train them by ML to get the training model. Finally, we use FFT to encrypt images and detect the fall. We constructe a training database that includes 1131 images, and the experimental evaluation of the images demonstrates that our algorithm is effective for detecting falls and maintain privacy.
{"title":"A Privacy Protected Fall Detection IoT System for Elderly Persons Using Depth Camera","authors":"Xiangbo Kong, Zelin Meng, Lin Meng, Hiroyuki Tomiyama","doi":"10.1109/ICAMECHS.2018.8506987","DOIUrl":"https://doi.org/10.1109/ICAMECHS.2018.8506987","url":null,"abstract":"The proportion of the elderly persons in the world is constantly on the rise, and fall accidents have become a serious problem, especially for those who live alone. Currently, fall detection has attracted a lot of research attention and machine learning (ML) has shown promising performance in this task due to their strengths in person recognition. However, many existing methods using RGB images as the training data, resulting in the main information to be lost, or do not appropriately consider the effect of light, resulting in weak generalizability of the fall detection. Moreover, traditional methods pose a risk of leakage of personal privacy. This paper proposes a fall detection IoT system based on depth camera and fast Fourier transform (FFT) to overcome these problems. We first use depth camera to get the skeleton images of a person who is standing or falling down. We then get the characteristic quantity of these images and train them by ML to get the training model. Finally, we use FFT to encrypt images and detect the fall. We constructe a training database that includes 1131 images, and the experimental evaluation of the images demonstrates that our algorithm is effective for detecting falls and maintain privacy.","PeriodicalId":325361,"journal":{"name":"2018 International Conference on Advanced Mechatronic Systems (ICAMechS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130597148","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 : 2018-08-01DOI: 10.1109/ICAMECHS.2018.8507111
Ye Chen, Guangdong Tian, Fangwu Ma, Yongfeng Pu
The optimization of the offshore platform scheme has been recognized as one of the most significant phases in the construction of the offshore platform, because it determines the direction of the optimal design of the offshore platform structure. However, to select the optimal one among several schemes, a comprehensive evaluation of the estimated values of multiple attributes must be performed, which is difficult because the estimation of attributes is inaccurate and the evaluation needs to be combined with the expert's preference. This paper proposes a framework combining Analytic Hierarchy Process (AHP) with Grey Relational Analysis (GRA) to solve the problem of optimization of offshore platform scheme. An AHP is presented to determine the weight of each evaluation criterion. Then, using GRA to determine the best of the four to-be-evaluated schemes. Conducting a case study to verify the performance of the proposed method. The results show that the proposed multi -attribute decision theory can decide the best design alternative.
{"title":"Alternative Selection of Sea Platform Considering Multi-perspective Indices","authors":"Ye Chen, Guangdong Tian, Fangwu Ma, Yongfeng Pu","doi":"10.1109/ICAMECHS.2018.8507111","DOIUrl":"https://doi.org/10.1109/ICAMECHS.2018.8507111","url":null,"abstract":"The optimization of the offshore platform scheme has been recognized as one of the most significant phases in the construction of the offshore platform, because it determines the direction of the optimal design of the offshore platform structure. However, to select the optimal one among several schemes, a comprehensive evaluation of the estimated values of multiple attributes must be performed, which is difficult because the estimation of attributes is inaccurate and the evaluation needs to be combined with the expert's preference. This paper proposes a framework combining Analytic Hierarchy Process (AHP) with Grey Relational Analysis (GRA) to solve the problem of optimization of offshore platform scheme. An AHP is presented to determine the weight of each evaluation criterion. Then, using GRA to determine the best of the four to-be-evaluated schemes. Conducting a case study to verify the performance of the proposed method. The results show that the proposed multi -attribute decision theory can decide the best design alternative.","PeriodicalId":325361,"journal":{"name":"2018 International Conference on Advanced Mechatronic Systems (ICAMechS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122231312","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 : 2018-08-01DOI: 10.1109/ICAMECHS.2018.8507102
Fengyang Han, Runmin Li, D. Qian
Short-term wind speed forecasting plays an important role in the daily power system operation. Therefore, this paper presents a novel model based on spiking neural network (SNN) used spike response model (SRM). Further, to achieve both smaller training errors and higher precision forecasting, the basic SpikeProp learning algorithm is improved by adaptively adjusting the learning rate and adding momentum items. Then, this paper selects the actual sampling data from a wind farm to verify the effectiveness and advantages of the proposed model.
{"title":"Short-term Wind Speed Forecasting Model Based on Spiking Neural Network","authors":"Fengyang Han, Runmin Li, D. Qian","doi":"10.1109/ICAMECHS.2018.8507102","DOIUrl":"https://doi.org/10.1109/ICAMECHS.2018.8507102","url":null,"abstract":"Short-term wind speed forecasting plays an important role in the daily power system operation. Therefore, this paper presents a novel model based on spiking neural network (SNN) used spike response model (SRM). Further, to achieve both smaller training errors and higher precision forecasting, the basic SpikeProp learning algorithm is improved by adaptively adjusting the learning rate and adding momentum items. Then, this paper selects the actual sampling data from a wind farm to verify the effectiveness and advantages of the proposed model.","PeriodicalId":325361,"journal":{"name":"2018 International Conference on Advanced Mechatronic Systems (ICAMechS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124933036","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 : 2018-08-01DOI: 10.1109/ICAMECHS.2018.8507034
Shengjun Wen, Tongwei Liang, Peixue Wang
In this paper, a sensorless technology based on adaptive estimation is presented for the full-speed range control of a permanent magnet synchronous motor, where the traditional mechanical sensor is replaced by estimating the motor position and speed. The motor initial position is detected by using a rotating high frequency voltage injection method, and the motor speed is estimated by adjustable model method. The error of the rotor initial position is smaller than 0.2 % and the rotor speed estimation error is controlled within 0.7%.
{"title":"Adaptive position estimation and control for permanent magnet synchronous motor","authors":"Shengjun Wen, Tongwei Liang, Peixue Wang","doi":"10.1109/ICAMECHS.2018.8507034","DOIUrl":"https://doi.org/10.1109/ICAMECHS.2018.8507034","url":null,"abstract":"In this paper, a sensorless technology based on adaptive estimation is presented for the full-speed range control of a permanent magnet synchronous motor, where the traditional mechanical sensor is replaced by estimating the motor position and speed. The motor initial position is detected by using a rotating high frequency voltage injection method, and the motor speed is estimated by adjustable model method. The error of the rotor initial position is smaller than 0.2 % and the rotor speed estimation error is controlled within 0.7%.","PeriodicalId":325361,"journal":{"name":"2018 International Conference on Advanced Mechatronic Systems (ICAMechS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126436786","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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