Pub Date : 2018-10-01DOI: 10.1109/ICTC.2018.8539628
Seong-Ho Park, I. Jung, Hyun-Chool Shin
We analyzed the electroencephalogram (EEG) spectral distribution during anesthesia. Especially, the spectral characteristics of alpha band(8~12Hz) at the frontal head were investigated. Using skewness and kurtosis, the asymmetry of spectral distribution was quantified. A set of EEG data from 10 subjects was obtained during general anesthesia with Propofol (dose rate of 12mg/kg/h). We observed distinct changes in spatial distribution of EEG spectrum near loss and recovery of consciousness. Also, spectral asymmetry was quantitatively measured in terms of skewness and kurtosis. These findings can be used for developing measures of the depth of anesthesia.
{"title":"Spectral asymmetry of EEG signals in transition from conscious to unconscious state","authors":"Seong-Ho Park, I. Jung, Hyun-Chool Shin","doi":"10.1109/ICTC.2018.8539628","DOIUrl":"https://doi.org/10.1109/ICTC.2018.8539628","url":null,"abstract":"We analyzed the electroencephalogram (EEG) spectral distribution during anesthesia. Especially, the spectral characteristics of alpha band(8~12Hz) at the frontal head were investigated. Using skewness and kurtosis, the asymmetry of spectral distribution was quantified. A set of EEG data from 10 subjects was obtained during general anesthesia with Propofol (dose rate of 12mg/kg/h). We observed distinct changes in spatial distribution of EEG spectrum near loss and recovery of consciousness. Also, spectral asymmetry was quantitatively measured in terms of skewness and kurtosis. These findings can be used for developing measures of the depth of anesthesia.","PeriodicalId":417962,"journal":{"name":"2018 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124079244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/ICTC.2018.8539635
Seongjoon Kang, S. Bahk
Dual connectivity is very important for gradual transition from LTE to 5G. Release 12 of the 3GPP specification introduced DC scheme, but what advantage we can get from DC is not evaluated yet. In this paper, we simulate the DC schemes (LTE – LTE DC, LTE-mmWave DC, mmWave – mmWave DC) using newly modified network simulator (NS3) for 5G and evaluate the DC gains in terms of throughput and delay. We demonstrate the DC would increase the throughput under the fast switching scheme and decrease the end-to-end delay a lot.
{"title":"Analysis of Dual Connectivity Gain in Terms of Delay and Throughput","authors":"Seongjoon Kang, S. Bahk","doi":"10.1109/ICTC.2018.8539635","DOIUrl":"https://doi.org/10.1109/ICTC.2018.8539635","url":null,"abstract":"Dual connectivity is very important for gradual transition from LTE to 5G. Release 12 of the 3GPP specification introduced DC scheme, but what advantage we can get from DC is not evaluated yet. In this paper, we simulate the DC schemes (LTE – LTE DC, LTE-mmWave DC, mmWave – mmWave DC) using newly modified network simulator (NS3) for 5G and evaluate the DC gains in terms of throughput and delay. We demonstrate the DC would increase the throughput under the fast switching scheme and decrease the end-to-end delay a lot.","PeriodicalId":417962,"journal":{"name":"2018 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126579218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/ICTC.2018.8539682
Hyeon-Jae Noh, Jungeun Lee, H. Yang
Spectrum sharing for radar and communications can maximize the utilization of frequency resource. Though several studies have considered the coexistence and joint transmission to accomplish the missions of radar target detection and wireless communications simultaneously, none of the previous studies have considered feasible scenarios. In this paper, we consider a feasible scenario under which all the multiple antennas at the base station are used for joint transmission of radar beams and communications signals. With a careful consideration of the channel models, a beam synthesis algorithm is reviewed for the shared antenna utilization for both radar and communications. Numerical evaluation is provided to investigate the trade-off between the radar and communications performance.
{"title":"Beam Synthesis under Feasible Scenarios for Radar and Communications Combined Systems","authors":"Hyeon-Jae Noh, Jungeun Lee, H. Yang","doi":"10.1109/ICTC.2018.8539682","DOIUrl":"https://doi.org/10.1109/ICTC.2018.8539682","url":null,"abstract":"Spectrum sharing for radar and communications can maximize the utilization of frequency resource. Though several studies have considered the coexistence and joint transmission to accomplish the missions of radar target detection and wireless communications simultaneously, none of the previous studies have considered feasible scenarios. In this paper, we consider a feasible scenario under which all the multiple antennas at the base station are used for joint transmission of radar beams and communications signals. With a careful consideration of the channel models, a beam synthesis algorithm is reviewed for the shared antenna utilization for both radar and communications. Numerical evaluation is provided to investigate the trade-off between the radar and communications performance.","PeriodicalId":417962,"journal":{"name":"2018 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117342384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/ICTC.2018.8539578
Osama Alluhaibi, Manish Nair, Amjed Hazzaa, Aza Mihbarey, Jiangzhou Wang
Millimeter wave (mmWave) systems are one of the proposed solutions for the fifth generation (5G) mobile network. However, mmWave system experiences strong path loss due to higher frequencies. To solve this problem, such a system demands a narrow beampattern to reduce the loss of the mmWave signal energy due to the high path loss. One of the significant challenges to be addressed before their deployment is designing three dimensional (3D) beamforming algorithms, which are required to be directional. In this paper, we first propose two 3D beamforming algorithms with aim of tracking users in both the azimuth and elevation planes. Our proposed beamforming algorithms operates based on the principles of singular value decomposition (SVD) and particle swarm optimization (PSO). Furthermore, these beam-forming algorithms are designed to have limited or negligible side lobes, which cause less interference to the other users operating in the same cell. In order to achieve this objective, Kaiser Bessel (KB) filter is adopted which helps in mitigating side lobes in the synthesized beampattern. Based on our analysis, we gain some valuable insights. The proposed algorithms are shown to perform well in achieving considerable capacity and lower side lobs.
{"title":"3D Beamforming for 5G Millimeter Wave Systems Using Singular Value Decomposition and Particle Swarm Optimization Approaches","authors":"Osama Alluhaibi, Manish Nair, Amjed Hazzaa, Aza Mihbarey, Jiangzhou Wang","doi":"10.1109/ICTC.2018.8539578","DOIUrl":"https://doi.org/10.1109/ICTC.2018.8539578","url":null,"abstract":"Millimeter wave (mmWave) systems are one of the proposed solutions for the fifth generation (5G) mobile network. However, mmWave system experiences strong path loss due to higher frequencies. To solve this problem, such a system demands a narrow beampattern to reduce the loss of the mmWave signal energy due to the high path loss. One of the significant challenges to be addressed before their deployment is designing three dimensional (3D) beamforming algorithms, which are required to be directional. In this paper, we first propose two 3D beamforming algorithms with aim of tracking users in both the azimuth and elevation planes. Our proposed beamforming algorithms operates based on the principles of singular value decomposition (SVD) and particle swarm optimization (PSO). Furthermore, these beam-forming algorithms are designed to have limited or negligible side lobes, which cause less interference to the other users operating in the same cell. In order to achieve this objective, Kaiser Bessel (KB) filter is adopted which helps in mitigating side lobes in the synthesized beampattern. Based on our analysis, we gain some valuable insights. The proposed algorithms are shown to perform well in achieving considerable capacity and lower side lobs.","PeriodicalId":417962,"journal":{"name":"2018 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131165710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/ICTC.2018.8539580
Shengjie Ma, Hyukjoon Lee, Hong Cheng
Traditional low-cost GPS installed on vehicles and other equipment has a tolerance of tens of meters. With the help of auxiliary devices and/or methodologies such as Differential GPSs (DGPSs), Assisted GPSs (AG-PSs), Real-Time Kinematic (RTK), computer vision and etc., the positioning accuracy of GPS receivers increased a lot, but a certain amount of cost increased at the same time. In this paper, we propose a new cooperative vehicular localization scheme for improving the accuracy of GPS fixes based on Vehicle-to-vehicle (V2V) communication. The proposed scheme first estimates the distances between neighboring vehicles using WLS-DD scheme [1] and uses a machine learning technique called Constrained Self-Organizing Map (C-SOM) with a set of GPS fixes collected over time to generate the final estimates of GPS locations with much lower errors. We present simulation results that demonstrate the superior performance of the proposed Constrained-SOM.
{"title":"A Positioning Accuracy Enhancement Method Based on Inter-Vehicular Communication and Self-Organizing Map","authors":"Shengjie Ma, Hyukjoon Lee, Hong Cheng","doi":"10.1109/ICTC.2018.8539580","DOIUrl":"https://doi.org/10.1109/ICTC.2018.8539580","url":null,"abstract":"Traditional low-cost GPS installed on vehicles and other equipment has a tolerance of tens of meters. With the help of auxiliary devices and/or methodologies such as Differential GPSs (DGPSs), Assisted GPSs (AG-PSs), Real-Time Kinematic (RTK), computer vision and etc., the positioning accuracy of GPS receivers increased a lot, but a certain amount of cost increased at the same time. In this paper, we propose a new cooperative vehicular localization scheme for improving the accuracy of GPS fixes based on Vehicle-to-vehicle (V2V) communication. The proposed scheme first estimates the distances between neighboring vehicles using WLS-DD scheme [1] and uses a machine learning technique called Constrained Self-Organizing Map (C-SOM) with a set of GPS fixes collected over time to generate the final estimates of GPS locations with much lower errors. We present simulation results that demonstrate the superior performance of the proposed Constrained-SOM.","PeriodicalId":417962,"journal":{"name":"2018 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131450171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/ICTC.2018.8539506
Hyunjae Park, Young-June Choi
In these days, concept of IoT is widely spread from individual devices to large industrial systems. However, data handling from IoT devices is on developing stage. Delivering large amount of data to server which mainly operates data analysis is required and it becomes a burden to network. Our work has focused on reducing volume of data to transmit with data approximation in the domain of time series data. We suggest a data representation method which separates data into specific data point and piecewise approximation values. In addition, we show the difference between raw data and reduced data in distance and in time series classification accuracy.
{"title":"Two component data representation using piecewise approximation and specific points for IoT","authors":"Hyunjae Park, Young-June Choi","doi":"10.1109/ICTC.2018.8539506","DOIUrl":"https://doi.org/10.1109/ICTC.2018.8539506","url":null,"abstract":"In these days, concept of IoT is widely spread from individual devices to large industrial systems. However, data handling from IoT devices is on developing stage. Delivering large amount of data to server which mainly operates data analysis is required and it becomes a burden to network. Our work has focused on reducing volume of data to transmit with data approximation in the domain of time series data. We suggest a data representation method which separates data into specific data point and piecewise approximation values. In addition, we show the difference between raw data and reduced data in distance and in time series classification accuracy.","PeriodicalId":417962,"journal":{"name":"2018 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132877026","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/ICTC.2018.8539601
HyunYong Lee, Byung-Tak Lee
For stable and successful use of grid-connected PV (photovoltaic) plants, it is quite necessary to know the expected power from PV plants in advance. However, forecasting PV output power accurately is difficult in practical cases where uncertainties are unavoidable. In this paper, we propose a confidence-aware forecasting system that produces a point forecast together with its confidence information. Our system classifies forecast outputs into confident forecasts and non-confident forecasts using the confidence information. Then, the confident forecast is used directly and the non-confident forecast is replaced by its lower bound, which is desirable for conservative scheduling of existing power plants. Through the experiments, we show that MAPE (maximum absolute percentage error) of the confident forecasts and the non-confident forecasts are 9.8% and 21.5%, respectively. We also show that the lower bound is lower than actual value in over 95% of the non-confident forecasts. The results show that our approach is good to classify forecasts into confident forecasts and non-confident forecasts and to produce effective lower bounds.
{"title":"Bayesian Deep Learning-based Confidence-aware Solar Irradiance Forecasting System","authors":"HyunYong Lee, Byung-Tak Lee","doi":"10.1109/ICTC.2018.8539601","DOIUrl":"https://doi.org/10.1109/ICTC.2018.8539601","url":null,"abstract":"For stable and successful use of grid-connected PV (photovoltaic) plants, it is quite necessary to know the expected power from PV plants in advance. However, forecasting PV output power accurately is difficult in practical cases where uncertainties are unavoidable. In this paper, we propose a confidence-aware forecasting system that produces a point forecast together with its confidence information. Our system classifies forecast outputs into confident forecasts and non-confident forecasts using the confidence information. Then, the confident forecast is used directly and the non-confident forecast is replaced by its lower bound, which is desirable for conservative scheduling of existing power plants. Through the experiments, we show that MAPE (maximum absolute percentage error) of the confident forecasts and the non-confident forecasts are 9.8% and 21.5%, respectively. We also show that the lower bound is lower than actual value in over 95% of the non-confident forecasts. The results show that our approach is good to classify forecasts into confident forecasts and non-confident forecasts and to produce effective lower bounds.","PeriodicalId":417962,"journal":{"name":"2018 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128399783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/ICTC.2018.8539515
Bongho Lee, Kyutae Yang, Sung-Ik Park, H. Kim, Soonchoul Kim
In ATSC 3.0 capable of mobile services, the functionality of service following is required when the user moves around the shadow area or travels to the adjacent broadcast network. This paper proposes a scheme of ATSC 3.0 service following by the definition of service following description format and the delivery and consumption behavior. With this proposed scheme, the user is able to continue the tuned service with keeping his eyes on the road wherever he enters the low signal strength area or travels to the edge of the broadcast zone.
{"title":"A Study on the ATSC 3.0 Service Following","authors":"Bongho Lee, Kyutae Yang, Sung-Ik Park, H. Kim, Soonchoul Kim","doi":"10.1109/ICTC.2018.8539515","DOIUrl":"https://doi.org/10.1109/ICTC.2018.8539515","url":null,"abstract":"In ATSC 3.0 capable of mobile services, the functionality of service following is required when the user moves around the shadow area or travels to the adjacent broadcast network. This paper proposes a scheme of ATSC 3.0 service following by the definition of service following description format and the delivery and consumption behavior. With this proposed scheme, the user is able to continue the tuned service with keeping his eyes on the road wherever he enters the low signal strength area or travels to the edge of the broadcast zone.","PeriodicalId":417962,"journal":{"name":"2018 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134110118","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/ICTC.2018.8539499
C. Jeong, Mooseop Kim, Hyung-Cheol Shin
Pedestrian counting in videos is an active computer vision research topic that has wide ranging application. Existing pedestrian counting methods predominantly use features extracted from the foreground following subtraction of the background. However, accurately locating the foreground in real environments is difficult, and background subtraction is computationally expensive. The keypoint approach, which counts pedestrians without background subtraction, is limited owing to lack of sufficient features and no consideration for stationary pedestrians. This letter proposes an accurate keypoint-based pedestrian counting method. As no single keypoint detector can yield optimal counting results under all conditions, such as image resolution, frame rate, and illumination, we combine complementary keypoint detectors to enrich the features and thereby enhance pedestrian counting results. In addition, the proposed method considers stationary pedestrians by analyzing static keypoints information. Information loss during vector quantization is also reduced by applying soft assignment during feature extraction. The results of experiments conducted on public databases indicate that the proposed method outperforms the state-of-the-art methods on realistic outdoor and indoor public datasets.
{"title":"Soft assignment and multiple keypoint analysis-based pedestrian counting method","authors":"C. Jeong, Mooseop Kim, Hyung-Cheol Shin","doi":"10.1109/ICTC.2018.8539499","DOIUrl":"https://doi.org/10.1109/ICTC.2018.8539499","url":null,"abstract":"Pedestrian counting in videos is an active computer vision research topic that has wide ranging application. Existing pedestrian counting methods predominantly use features extracted from the foreground following subtraction of the background. However, accurately locating the foreground in real environments is difficult, and background subtraction is computationally expensive. The keypoint approach, which counts pedestrians without background subtraction, is limited owing to lack of sufficient features and no consideration for stationary pedestrians. This letter proposes an accurate keypoint-based pedestrian counting method. As no single keypoint detector can yield optimal counting results under all conditions, such as image resolution, frame rate, and illumination, we combine complementary keypoint detectors to enrich the features and thereby enhance pedestrian counting results. In addition, the proposed method considers stationary pedestrians by analyzing static keypoints information. Information loss during vector quantization is also reduced by applying soft assignment during feature extraction. The results of experiments conducted on public databases indicate that the proposed method outperforms the state-of-the-art methods on realistic outdoor and indoor public datasets.","PeriodicalId":417962,"journal":{"name":"2018 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134364384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/ICTC.2018.8539375
Yared Zerihun Bekele, Young-June Choi
To accommodate the massive connectivity of Internet-of-Things (IoT) such as a smart meter application for cellular networks, 3GPP has standardized Machine Type Communication (MTC) and cellular IoT. The data transmission of such IoT exhibits a time-controlled and an event-driven feature which delivers short messages with low data rate but supports massive connectivity. In MTC and its advanced system including eMTC and 5G-NR, legacy data and IoT data share radio resource; thus, any existing scheduler can handle both types of data separately. In this paper, we prove that existing schedulers that favor instantaneous channel quality do not work effectively for IoT data. Based on this property, we suggest a modified First Maximum Expansion (m-FME) algorithm that removes channel feedback. Through simulation, we confirm that m-FME outperforms existing schedulers.
{"title":"Scheduling for Machine Type Communications in LTE Systems","authors":"Yared Zerihun Bekele, Young-June Choi","doi":"10.1109/ICTC.2018.8539375","DOIUrl":"https://doi.org/10.1109/ICTC.2018.8539375","url":null,"abstract":"To accommodate the massive connectivity of Internet-of-Things (IoT) such as a smart meter application for cellular networks, 3GPP has standardized Machine Type Communication (MTC) and cellular IoT. The data transmission of such IoT exhibits a time-controlled and an event-driven feature which delivers short messages with low data rate but supports massive connectivity. In MTC and its advanced system including eMTC and 5G-NR, legacy data and IoT data share radio resource; thus, any existing scheduler can handle both types of data separately. In this paper, we prove that existing schedulers that favor instantaneous channel quality do not work effectively for IoT data. Based on this property, we suggest a modified First Maximum Expansion (m-FME) algorithm that removes channel feedback. Through simulation, we confirm that m-FME outperforms existing schedulers.","PeriodicalId":417962,"journal":{"name":"2018 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132924969","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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