Pub Date : 2016-12-01DOI: 10.1109/ICIAFS.2016.7946569
Shirantha Welikala, Chinthaka Dinesh, R. Godaliyadda, M. Ekanayake, J. Ekanayake
A Non-Intrusive Load Monitoring (NILM) method, robust even in the presence of unlearned or unknown appliances (UUAs) is presented in this paper. In the absence of such UUAs, this NILM algorithm is capable of accurately identifying each of the turned-ON appliances as well as their energy levels. However, when there is an UUA or set of UUAs are turned-ON during a particular time window, proposed NILM method detects their presence. This enables the operator to detect presence of anomalies or unlearned appliances in a household. This quality increases the reliability of the NILM strategy and makes it more robust compared to existing NILM methods. The proposed Robust NILM strategy (RNILM) works accurately with a single active power measurement taken at a low sampling rate as low as one sample per second. Here first, a unique set of features for each appliance was extracted through decomposing their active power signal traces into uncorrelated subspace components (SCs) via a high-resolution implementation of the Karhunen-Loeve (KLE). Next, in the appliance identification stage, through considering power levels of the SCs, the number of possible appliance combinations were rapidly reduced. Finally, through a Maximum a Posteriori (MAP) estimation, the turned-ON appliance combination and/or the presence of UUA was determined. The proposed RNILM method was validated using real data from two public databases: Reference Energy Disaggregation Dataset (REDD) and Tracebase. The presented results demonstrate the capability of the proposed RNILM method to identify, the turned-ON appliance combinations, their energy level disaggregation as well as the presence of UUAs accurately in real households.
{"title":"Robust Non-Intrusive Load Monitoring (NILM) with unknown loads","authors":"Shirantha Welikala, Chinthaka Dinesh, R. Godaliyadda, M. Ekanayake, J. Ekanayake","doi":"10.1109/ICIAFS.2016.7946569","DOIUrl":"https://doi.org/10.1109/ICIAFS.2016.7946569","url":null,"abstract":"A Non-Intrusive Load Monitoring (NILM) method, robust even in the presence of unlearned or unknown appliances (UUAs) is presented in this paper. In the absence of such UUAs, this NILM algorithm is capable of accurately identifying each of the turned-ON appliances as well as their energy levels. However, when there is an UUA or set of UUAs are turned-ON during a particular time window, proposed NILM method detects their presence. This enables the operator to detect presence of anomalies or unlearned appliances in a household. This quality increases the reliability of the NILM strategy and makes it more robust compared to existing NILM methods. The proposed Robust NILM strategy (RNILM) works accurately with a single active power measurement taken at a low sampling rate as low as one sample per second. Here first, a unique set of features for each appliance was extracted through decomposing their active power signal traces into uncorrelated subspace components (SCs) via a high-resolution implementation of the Karhunen-Loeve (KLE). Next, in the appliance identification stage, through considering power levels of the SCs, the number of possible appliance combinations were rapidly reduced. Finally, through a Maximum a Posteriori (MAP) estimation, the turned-ON appliance combination and/or the presence of UUA was determined. The proposed RNILM method was validated using real data from two public databases: Reference Energy Disaggregation Dataset (REDD) and Tracebase. The presented results demonstrate the capability of the proposed RNILM method to identify, the turned-ON appliance combinations, their energy level disaggregation as well as the presence of UUAs accurately in real households.","PeriodicalId":237290,"journal":{"name":"2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS)","volume":"224 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115483093","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 : 2016-12-01DOI: 10.1109/ICIAFS.2016.7946566
U. K. Renduchintala, C. Pang, S. Maddukuri, V. Aravinthan
Presently, the quality of power supplied is essential to many customers. Power quality (PQ) is a valued utility service where many customers are prepared to pay and get it. In the future, distribution system operators ought to decide, to provide their customers with distinct PQ ranges at different prices. Here, in this paper, a new control action to improve and maintain and enhance the power quality of an electrical power system is proposed in this paper. Fuzzy based distributed power flow controller (DPFC) is designed and put into action to compensate the voltage imbalances arising in a power system. This customized DPFC is an advanced FACTS device, which has its structure analogous to unified power flow controller (UPFC). DPFC comprises of both series and shunt converters, in which its three phase series converter is distributed over the transmission line as several single phase static converters ensuring high controllability and reliability at a low cost compared to an UPFC. A central controlling circuit is designed to supply reference signals to each of the individual controlling circuits of both series and shunt converters. This customized device is applied to a single machine infinite bus power system having nonlinear loads connected to it and is simulated in MATLAB/Simulink environment by using OPAL-RT 5600 Real-time digital Simulator. The results demonstrate the validation of proposed technique to enhance the power quality.
{"title":"Smooth shunt control of a fuzzy based distributed power flow controller to improve power quality","authors":"U. K. Renduchintala, C. Pang, S. Maddukuri, V. Aravinthan","doi":"10.1109/ICIAFS.2016.7946566","DOIUrl":"https://doi.org/10.1109/ICIAFS.2016.7946566","url":null,"abstract":"Presently, the quality of power supplied is essential to many customers. Power quality (PQ) is a valued utility service where many customers are prepared to pay and get it. In the future, distribution system operators ought to decide, to provide their customers with distinct PQ ranges at different prices. Here, in this paper, a new control action to improve and maintain and enhance the power quality of an electrical power system is proposed in this paper. Fuzzy based distributed power flow controller (DPFC) is designed and put into action to compensate the voltage imbalances arising in a power system. This customized DPFC is an advanced FACTS device, which has its structure analogous to unified power flow controller (UPFC). DPFC comprises of both series and shunt converters, in which its three phase series converter is distributed over the transmission line as several single phase static converters ensuring high controllability and reliability at a low cost compared to an UPFC. A central controlling circuit is designed to supply reference signals to each of the individual controlling circuits of both series and shunt converters. This customized device is applied to a single machine infinite bus power system having nonlinear loads connected to it and is simulated in MATLAB/Simulink environment by using OPAL-RT 5600 Real-time digital Simulator. The results demonstrate the validation of proposed technique to enhance the power quality.","PeriodicalId":237290,"journal":{"name":"2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129819429","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 : 2016-12-01DOI: 10.1109/ICIAFS.2016.7946575
W. Pemarathne, T. Fernando
Cable and wiring layout design is one of the complex and tiresome processes in building construction. Over the last few years engineers have proposed several systems to design cable and wiring layouts. Few of these systems designed with the emerging technologies in Artificial Intelligence (AI). This paper reviews the recently proposed cable and wiring layout design systems designed with AI. The results of the analysis have shown the evolution of cable and wiring layout designing from manual trial and error method to intelligent simulation software has proved vast improvement to this field.
{"title":"Wire and cable routings and harness designing systems with AI, a review","authors":"W. Pemarathne, T. Fernando","doi":"10.1109/ICIAFS.2016.7946575","DOIUrl":"https://doi.org/10.1109/ICIAFS.2016.7946575","url":null,"abstract":"Cable and wiring layout design is one of the complex and tiresome processes in building construction. Over the last few years engineers have proposed several systems to design cable and wiring layouts. Few of these systems designed with the emerging technologies in Artificial Intelligence (AI). This paper reviews the recently proposed cable and wiring layout design systems designed with AI. The results of the analysis have shown the evolution of cable and wiring layout designing from manual trial and error method to intelligent simulation software has proved vast improvement to this field.","PeriodicalId":237290,"journal":{"name":"2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS)","volume":"383 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122814354","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 : 2016-12-01DOI: 10.1109/ICIAFS.2016.7946526
A. Jayakody, C.I Meegama, H.U Pinnawalage, R.M.H.N Muwenwella, S.C Dalpathado
Vision impaired individuals confront unique challenges every day in their day-to-day life when navigating in unfamiliar public locations. The proposed system focuses on designing a device for vision impaired people that is comfortable, user friendly and can help with travelling independently. The solution is an audio guidance system that provides guidance through voice commands and beep sounds. In this study, authors propose an indoor navigation system that utilizes visible light communication (VLC) technology, which employs LED lights, geomagnetism technology, best path detection algorithms and obstacle detection aimed at supporting visually impaired people to overcome the positioning and navigating problems. System uses a MCU based mechanism to transmit positional information by leveraging the existing LED lights of the indoor environment. The study looks at an improved version of Dijkstra's algorithm to estimate search time and distance to find the best path for the navigation purposes. Geomagnetic sensor is used to obtain the travelling direction of the visually impaired individual to provide an extreme accurate system to take the turns accurately according to the best path and to correct the individual while traveling. Sonar sensors are used for obstacle detection which aids the individual to prevent any collisions or injury. Database optimization involves in increasing the speed and efficiency of the retrieved data and reduces the system response time.
{"title":"AVII [Assist Vision Impaired Individual]: An Intelligent Indoor Navigation System for the Vision Impaired Individuals with VLC","authors":"A. Jayakody, C.I Meegama, H.U Pinnawalage, R.M.H.N Muwenwella, S.C Dalpathado","doi":"10.1109/ICIAFS.2016.7946526","DOIUrl":"https://doi.org/10.1109/ICIAFS.2016.7946526","url":null,"abstract":"Vision impaired individuals confront unique challenges every day in their day-to-day life when navigating in unfamiliar public locations. The proposed system focuses on designing a device for vision impaired people that is comfortable, user friendly and can help with travelling independently. The solution is an audio guidance system that provides guidance through voice commands and beep sounds. In this study, authors propose an indoor navigation system that utilizes visible light communication (VLC) technology, which employs LED lights, geomagnetism technology, best path detection algorithms and obstacle detection aimed at supporting visually impaired people to overcome the positioning and navigating problems. System uses a MCU based mechanism to transmit positional information by leveraging the existing LED lights of the indoor environment. The study looks at an improved version of Dijkstra's algorithm to estimate search time and distance to find the best path for the navigation purposes. Geomagnetic sensor is used to obtain the travelling direction of the visually impaired individual to provide an extreme accurate system to take the turns accurately according to the best path and to correct the individual while traveling. Sonar sensors are used for obstacle detection which aids the individual to prevent any collisions or injury. Database optimization involves in increasing the speed and efficiency of the retrieved data and reduces the system response time.","PeriodicalId":237290,"journal":{"name":"2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122098858","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 : 2016-12-01DOI: 10.1109/ICIAFS.2016.7946525
J. P. Kulasingham, V. Vibujithan, W. A. R. Kithmini, Y. A. C. Kumara, A. C. De Silva
The P300 Speller is a Brain Computer Interface that enables communication using the EEG signal. The P300 wave is an Event Related Potential that occurs as a response to a familiar stimulus. This system can be used to aid persons who are unable to communicate via conventional methods. In this paper, the P300 Speller has been modified to allow communication in three languages: English, Sinhala and Tamil. Classification of the P300 waveform was done using an ensemble of Support Vector Machines. A mean letter classification accuracy of 83.76% and a mean P300 classification accuracy of 90.68% was achieved on our dataset.
{"title":"P300 speller for local languages using Support Vector Machines","authors":"J. P. Kulasingham, V. Vibujithan, W. A. R. Kithmini, Y. A. C. Kumara, A. C. De Silva","doi":"10.1109/ICIAFS.2016.7946525","DOIUrl":"https://doi.org/10.1109/ICIAFS.2016.7946525","url":null,"abstract":"The P300 Speller is a Brain Computer Interface that enables communication using the EEG signal. The P300 wave is an Event Related Potential that occurs as a response to a familiar stimulus. This system can be used to aid persons who are unable to communicate via conventional methods. In this paper, the P300 Speller has been modified to allow communication in three languages: English, Sinhala and Tamil. Classification of the P300 waveform was done using an ensemble of Support Vector Machines. A mean letter classification accuracy of 83.76% and a mean P300 classification accuracy of 90.68% was achieved on our dataset.","PeriodicalId":237290,"journal":{"name":"2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125616083","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 : 2016-12-01DOI: 10.1109/ICIAFS.2016.7946530
K. Rathnayake, S. A. I. P. Diddeniya, W. Wanniarachchi, W. H. K. P. Nanayakkara, H. Gunasinghe
Control of home appliances using smart technologies which is also known as home automation is a popular (industrial) research area. Many of these systems use remote controlling such as IR sensing, networking, Arduino programing etc. whereas our system uses voice controlling. Proposed system is designed to enable centralize controlling over distant household appliances. In this prototype, we built an interface demonstrating voice control using Kinect V2 as voice receiver and trained a computer system to identify set of voice commands. Then a circuit was constructed using Arduino and light bulbs that mimics actual appliances. We measured accuracy of our system. It is more than 95% when the distance between user and Kinect sensor is 4 m and when there is about 53 dB noise. Hence, the proposed method can be efficiently used with a Kinect V2 for voice controlling.
{"title":"Voice operated home automation system based on Kinect sensor","authors":"K. Rathnayake, S. A. I. P. Diddeniya, W. Wanniarachchi, W. H. K. P. Nanayakkara, H. Gunasinghe","doi":"10.1109/ICIAFS.2016.7946530","DOIUrl":"https://doi.org/10.1109/ICIAFS.2016.7946530","url":null,"abstract":"Control of home appliances using smart technologies which is also known as home automation is a popular (industrial) research area. Many of these systems use remote controlling such as IR sensing, networking, Arduino programing etc. whereas our system uses voice controlling. Proposed system is designed to enable centralize controlling over distant household appliances. In this prototype, we built an interface demonstrating voice control using Kinect V2 as voice receiver and trained a computer system to identify set of voice commands. Then a circuit was constructed using Arduino and light bulbs that mimics actual appliances. We measured accuracy of our system. It is more than 95% when the distance between user and Kinect sensor is 4 m and when there is about 53 dB noise. Hence, the proposed method can be efficiently used with a Kinect V2 for voice controlling.","PeriodicalId":237290,"journal":{"name":"2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114820385","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 : 2016-12-01DOI: 10.1109/ICIAFS.2016.7946550
R. Rupasinghe, S. G. M. P. Senanayake, D. A. Padmasiri, Mevan Ekanayake, G. Godaliyadda, J. Wijayakulasooriya
This work introduces a set of tools for motion pattern analysis in video surveillance. For a given video stream, first the motion trajectories are extracted and an affinity matrix is constructed. Then, motion pattern analysis is conducted based on Normalized Spectral Clustering. An Eigengap based methodology is proposed for determining the number of clusters. It was observed that in real life scenarios, according to human perception, the number of clusters observed is not a global constant, that it actually can take multiple values based on the level of zooming. Thus, a novel concept called ‘Modes of Clustering’ is introduced, where ‘Modes’ correspond to the multiple clustering arrangements that exist for a given scenario. The number of clusters and the arrangement of trajectories within those clusters serve as a descriptor for each such ‘Mode’. The free parameter Sigma in the standard Spectral Clustering algorithm, can be used as a tool for zooming. Accordingly, a ‘Sigma Sweep’ is introduced as a methodology for detecting the significant modes. Hence, a more detailed and accurate representation closely reflecting human perception is proposed and its applicability for video surveillance is elaborated through a case study.
{"title":"Modes of clustering for motion pattern analysis in video surveillance","authors":"R. Rupasinghe, S. G. M. P. Senanayake, D. A. Padmasiri, Mevan Ekanayake, G. Godaliyadda, J. Wijayakulasooriya","doi":"10.1109/ICIAFS.2016.7946550","DOIUrl":"https://doi.org/10.1109/ICIAFS.2016.7946550","url":null,"abstract":"This work introduces a set of tools for motion pattern analysis in video surveillance. For a given video stream, first the motion trajectories are extracted and an affinity matrix is constructed. Then, motion pattern analysis is conducted based on Normalized Spectral Clustering. An Eigengap based methodology is proposed for determining the number of clusters. It was observed that in real life scenarios, according to human perception, the number of clusters observed is not a global constant, that it actually can take multiple values based on the level of zooming. Thus, a novel concept called ‘Modes of Clustering’ is introduced, where ‘Modes’ correspond to the multiple clustering arrangements that exist for a given scenario. The number of clusters and the arrangement of trajectories within those clusters serve as a descriptor for each such ‘Mode’. The free parameter Sigma in the standard Spectral Clustering algorithm, can be used as a tool for zooming. Accordingly, a ‘Sigma Sweep’ is introduced as a methodology for detecting the significant modes. Hence, a more detailed and accurate representation closely reflecting human perception is proposed and its applicability for video surveillance is elaborated through a case study.","PeriodicalId":237290,"journal":{"name":"2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127178023","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 : 2016-12-01DOI: 10.1109/ICIAFS.2016.7946540
H. Herath, M. Jayananda
Snake robots maneuver in complex environments and exhibit large number of degrees of freedom in movement. Thus incorporating the required locomotion while ensuring simplicity and likelihood to actual serpentine motion is a challenge. This paper introduces two novel clustering sequence control mechanisms for both serial and parallel snake robots having eight cyclic configurations contributing to a serpentine gait. Four such variations for each robot were simulated and compared with each other with respect to the degree to which it mimics biological snakes and overall locomotion speed.
{"title":"Comparison of serial and parallel snake robots for lateral undulation motion using Gazebo","authors":"H. Herath, M. Jayananda","doi":"10.1109/ICIAFS.2016.7946540","DOIUrl":"https://doi.org/10.1109/ICIAFS.2016.7946540","url":null,"abstract":"Snake robots maneuver in complex environments and exhibit large number of degrees of freedom in movement. Thus incorporating the required locomotion while ensuring simplicity and likelihood to actual serpentine motion is a challenge. This paper introduces two novel clustering sequence control mechanisms for both serial and parallel snake robots having eight cyclic configurations contributing to a serpentine gait. Four such variations for each robot were simulated and compared with each other with respect to the degree to which it mimics biological snakes and overall locomotion speed.","PeriodicalId":237290,"journal":{"name":"2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115106987","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 : 1900-01-01DOI: 10.1109/ICIAFS.2016.7946560
Josefa Wivou, P. Pathirana, Ian S. Gibson, L. Udawatta
This paper presents a new concept for data capturing algorithm for golf swing, particularly, in greenside bunkers on a golf course. The captured data will be used to investigate the critical parameters of the golf swing addressing selected significant variables. Modeling and key findings will be used for extracting optimum training parameters. Results show the effectiveness of the proposed BioKin based system and it will lead to investigate the biomechanics aspects of the golf swing in combination with other determined factors.
{"title":"BioKin based system for capturing golf swing data","authors":"Josefa Wivou, P. Pathirana, Ian S. Gibson, L. Udawatta","doi":"10.1109/ICIAFS.2016.7946560","DOIUrl":"https://doi.org/10.1109/ICIAFS.2016.7946560","url":null,"abstract":"This paper presents a new concept for data capturing algorithm for golf swing, particularly, in greenside bunkers on a golf course. The captured data will be used to investigate the critical parameters of the golf swing addressing selected significant variables. Modeling and key findings will be used for extracting optimum training parameters. Results show the effectiveness of the proposed BioKin based system and it will lead to investigate the biomechanics aspects of the golf swing in combination with other determined factors.","PeriodicalId":237290,"journal":{"name":"2016 IEEE International Conference on Information and Automation for Sustainability (ICIAfS)","volume":"5 6 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":"130368165","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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