Pub Date : 2018-10-01DOI: 10.1109/ICTC.2018.8539694
J. Ko, Kyeongrok Kim, Jae-Hyun Kim
A golf shot pattern analyzer, which can derive a golf ball speed, a launch angle, and a spin, measures parameters using a high frequency radar or a high speed camera. But it is difficult to measure a carry distance of golf ball moving several tens of meters. Therefore, the carry distance of golf ball is calculated by various variables such as an initial velocity of golf ball, a launch angle, a spin rate, etc. In this paper, we calculate the carry distance of golf ball based on an Artificial Neural Network (ANN). The ANN model uses five dependent variables (club speed, attack angle, golf ball speed, launch angle, and spin rate) as input variables. A structure of the ANN model consists of one input layer, four hidden layers, and one output layer. Hidden nodes of the hidden layer are composed of 10, 20, 20, and 20 nodes, respectively. A Root Mean Square Error (RMSE) is used for performance evaluation and the RMSE of the ANN model is 0.8.
{"title":"A Design and Implementaion of Carry Distance Prediction Model using Artificial Neural Network","authors":"J. Ko, Kyeongrok Kim, Jae-Hyun Kim","doi":"10.1109/ICTC.2018.8539694","DOIUrl":"https://doi.org/10.1109/ICTC.2018.8539694","url":null,"abstract":"A golf shot pattern analyzer, which can derive a golf ball speed, a launch angle, and a spin, measures parameters using a high frequency radar or a high speed camera. But it is difficult to measure a carry distance of golf ball moving several tens of meters. Therefore, the carry distance of golf ball is calculated by various variables such as an initial velocity of golf ball, a launch angle, a spin rate, etc. In this paper, we calculate the carry distance of golf ball based on an Artificial Neural Network (ANN). The ANN model uses five dependent variables (club speed, attack angle, golf ball speed, launch angle, and spin rate) as input variables. A structure of the ANN model consists of one input layer, four hidden layers, and one output layer. Hidden nodes of the hidden layer are composed of 10, 20, 20, and 20 nodes, respectively. A Root Mean Square Error (RMSE) is used for performance evaluation and the RMSE of the ANN model is 0.8.","PeriodicalId":417962,"journal":{"name":"2018 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"23 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":"121405904","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.2018.8539667
Taeheum Na, Hoyong Ryu, Taeyeon Kim, Jaehyung Park, Sangjin Hong, Pyungkoo Park
Due to the increasing popularity and the need for cloud computing systems, new paradigms and models such as fog and edge computing have recently emerged. The researches on mobile edge computing, including 5G, are focused on virtual network function placement for communication performance. Mobility studies of heterogeneous networks have been carried out in network mobility (NEMO), vehicular ad hoc networks (VANET), and telematics technology. Mobile gateways play an important role in communication between things/mobile users and networks. However, mobile gateways have a difficulty on maintaining the communication link in a wireless environment due to obstacles and unstable connections with devices. In this paper proposes a dynamic load balancing approach in order that the multi-network mobile gateway (MNMG) distributes its traffic to one of several heterogeneous networks. For high utilization of networks, the MNMG distributes traffic dynamically by reflecting each network state. To evaluate the performance of the proposed approach, experiments is performed on real commercial networks consisting of the MNMG with the proposed load balancing were used in Korea, Thailand and India.
{"title":"Dynamic Load Balancing Mechanism in Mobile Gateway with Heterogeneous Network","authors":"Taeheum Na, Hoyong Ryu, Taeyeon Kim, Jaehyung Park, Sangjin Hong, Pyungkoo Park","doi":"10.1109/ICTC.2018.8539667","DOIUrl":"https://doi.org/10.1109/ICTC.2018.8539667","url":null,"abstract":"Due to the increasing popularity and the need for cloud computing systems, new paradigms and models such as fog and edge computing have recently emerged. The researches on mobile edge computing, including 5G, are focused on virtual network function placement for communication performance. Mobility studies of heterogeneous networks have been carried out in network mobility (NEMO), vehicular ad hoc networks (VANET), and telematics technology. Mobile gateways play an important role in communication between things/mobile users and networks. However, mobile gateways have a difficulty on maintaining the communication link in a wireless environment due to obstacles and unstable connections with devices. In this paper proposes a dynamic load balancing approach in order that the multi-network mobile gateway (MNMG) distributes its traffic to one of several heterogeneous networks. For high utilization of networks, the MNMG distributes traffic dynamically by reflecting each network state. To evaluate the performance of the proposed approach, experiments is performed on real commercial networks consisting of the MNMG with the proposed load balancing were used in Korea, Thailand and India.","PeriodicalId":417962,"journal":{"name":"2018 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"52 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113972431","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.2018.8539655
Jung-Bin Kim, C. Sin
This paper investigates the impact of mutual coupling (MC) on the performance of direction of arrival (DoA) estimation based on multiple signal classification (MUSIC) algorithm with uniform linear array (ULA). Among various schemes for compensating MC, two widely used ones are compared in the sense of root mean squire error (RMSE); The one is estimating the mutual coupling coefficients and the other is ignoring boundary antennas of ULA. It is shown that the former one is superior to the later in low signal-to-noise ratio (SNR) regimes and/or a number of samples is small, but vice versa as SNR and/or the number of samples increase.
{"title":"Impact of Mutual Coupling on Performance of DoA Estimation using MUSIC","authors":"Jung-Bin Kim, C. Sin","doi":"10.1109/ICTC.2018.8539655","DOIUrl":"https://doi.org/10.1109/ICTC.2018.8539655","url":null,"abstract":"This paper investigates the impact of mutual coupling (MC) on the performance of direction of arrival (DoA) estimation based on multiple signal classification (MUSIC) algorithm with uniform linear array (ULA). Among various schemes for compensating MC, two widely used ones are compared in the sense of root mean squire error (RMSE); The one is estimating the mutual coupling coefficients and the other is ignoring boundary antennas of ULA. It is shown that the former one is superior to the later in low signal-to-noise ratio (SNR) regimes and/or a number of samples is small, but vice versa as SNR and/or the number of samples increase.","PeriodicalId":417962,"journal":{"name":"2018 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"123 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":"122653317","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.2018.8539643
Dongwan Ryoo, Kyung-Kyu Kang, Changjoon Park
In this paper, we design hazing based on a physical modeling and propose a method to dehaze by efficiently estimating the transmission amount from fog images. He [9] proposed a single image visibility restoration method using dark channel prior (DCP). Among many algorithms, this DCP algorithm is known to have good performance in various fog images. However, this method requires matting processing, which requires a large amount of computation to refine the block type of the transmission amount. In this paper, we propose an improved image visibility restoration algorithm that estimates the transmission amount using a hybrid-type multi-filter based on edge intensity information to more accurately remove haze at the boundary. Through the experiment of a proposed algorithm, we show that haze is effectively eliminated without using matting processing. In particular, the algorithm is more effective at the boundary region.
{"title":"Haze Simulation Based on a Physical Modeling and Improved Image Visibility Restoration","authors":"Dongwan Ryoo, Kyung-Kyu Kang, Changjoon Park","doi":"10.1109/ICTC.2018.8539643","DOIUrl":"https://doi.org/10.1109/ICTC.2018.8539643","url":null,"abstract":"In this paper, we design hazing based on a physical modeling and propose a method to dehaze by efficiently estimating the transmission amount from fog images. He [9] proposed a single image visibility restoration method using dark channel prior (DCP). Among many algorithms, this DCP algorithm is known to have good performance in various fog images. However, this method requires matting processing, which requires a large amount of computation to refine the block type of the transmission amount. In this paper, we propose an improved image visibility restoration algorithm that estimates the transmission amount using a hybrid-type multi-filter based on edge intensity information to more accurately remove haze at the boundary. Through the experiment of a proposed algorithm, we show that haze is effectively eliminated without using matting processing. In particular, the algorithm is more effective at the boundary region.","PeriodicalId":417962,"journal":{"name":"2018 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"65 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":"122737310","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.2018.8539680
Jongsung Kim, Myung-Gyu Kim
In this paper, an cost-effective, highly accurate 3D articulated human motion analysis system is proposed. In the proposed system, a single low-cost RGB-D sensor captures a color image and depth one of human motion. Then, a deep learning-based 2D motion analysis process accurately estimates intermediate 2D articulated human motion from the color image. Finally, a color-to-depth warping-based 3D motion transform process effectively compute final 3D articulated human motion from the depth image. The proposed system is cost-effective but highly accurate. Experimental results show that the proposed system outperforms the commercial system using the same RGB-D sensor when compared in terms of accuracy.
{"title":"3D Articulated Human Motion Analysis System Using a Single Low-Cost RGB-D Sensor","authors":"Jongsung Kim, Myung-Gyu Kim","doi":"10.1109/ICTC.2018.8539680","DOIUrl":"https://doi.org/10.1109/ICTC.2018.8539680","url":null,"abstract":"In this paper, an cost-effective, highly accurate 3D articulated human motion analysis system is proposed. In the proposed system, a single low-cost RGB-D sensor captures a color image and depth one of human motion. Then, a deep learning-based 2D motion analysis process accurately estimates intermediate 2D articulated human motion from the color image. Finally, a color-to-depth warping-based 3D motion transform process effectively compute final 3D articulated human motion from the depth image. The proposed system is cost-effective but highly accurate. Experimental results show that the proposed system outperforms the commercial system using the same RGB-D sensor when compared in terms of accuracy.","PeriodicalId":417962,"journal":{"name":"2018 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"34 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":"124144633","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.2018.8539642
Manuel Eugenio Morocho-Cayamcela, W. Lim
A fully operative and efficient 5G network cannot be complete without the inclusion of artificial intelligence (AI) routines. Existing 4G networks with all-IP (Internet Protocol) broadband connectivity are based on a reactive conception, leading to a poorly efficiency of the spectrum. AI and its subcategories like machine learning and deep learning have been evolving as a discipline, to the point that nowadays this mechanism allows fifth-generation (5G) wireless networks to be predictive and proactive, which is essential in making the 5G vision conceivable. This paper is motivated by the vision of intelligent base stations making decisions by themselves, mobile devices creating dynamically-adaptable clusters based on learned data rather than pre-established and fixed rules, that will take us to a improve in the efficiency, latency, and reliability of the current and real-time network applications in general. An exploration of the potential of AI-based solution approaches in the context of 5G mobile and wireless communications technology is presented, evaluating the different challenges and open issues for future research.
{"title":"Artificial Intelligence in 5G Technology: A Survey","authors":"Manuel Eugenio Morocho-Cayamcela, W. Lim","doi":"10.1109/ICTC.2018.8539642","DOIUrl":"https://doi.org/10.1109/ICTC.2018.8539642","url":null,"abstract":"A fully operative and efficient 5G network cannot be complete without the inclusion of artificial intelligence (AI) routines. Existing 4G networks with all-IP (Internet Protocol) broadband connectivity are based on a reactive conception, leading to a poorly efficiency of the spectrum. AI and its subcategories like machine learning and deep learning have been evolving as a discipline, to the point that nowadays this mechanism allows fifth-generation (5G) wireless networks to be predictive and proactive, which is essential in making the 5G vision conceivable. This paper is motivated by the vision of intelligent base stations making decisions by themselves, mobile devices creating dynamically-adaptable clusters based on learned data rather than pre-established and fixed rules, that will take us to a improve in the efficiency, latency, and reliability of the current and real-time network applications in general. An exploration of the potential of AI-based solution approaches in the context of 5G mobile and wireless communications technology is presented, evaluating the different challenges and open issues for future research.","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":"126157206","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.2018.8539429
Jindoo Jeong, Youngmee Shin, Il-Woo Lee
Photovoltaic (PV) representing clean renewable energy is increasingly attracting attention by the Republic of Korea government's announcement of the renewable energy 3020 implementation plan. Monitoring of the PV climate information is essential to achieve sustainably high performance ratio of the PV plant through the efficient maintenance and to support stable grid connection of the PV plant through the prediction of the solar power generation. In this paper, in order to investigate the usefulness of the LoRa communication for monitoring the climate information of the PV power plant, a test about communication range is performed with a LoRa transceiver which is composed of the Arduino board and the RaspberryPi module in the terms of hardware, and which is implemented with a commercial protocol of the communication converter in the terms of software. It is shown from test results that the communication range for the transmission of the PV climate information reaches 1.3 km in the vicinity of Daddeok Research Complex in Daejon.
{"title":"Long-Range Transmission of Photovoltaic Climate Information through the LoRa Radio","authors":"Jindoo Jeong, Youngmee Shin, Il-Woo Lee","doi":"10.1109/ICTC.2018.8539429","DOIUrl":"https://doi.org/10.1109/ICTC.2018.8539429","url":null,"abstract":"Photovoltaic (PV) representing clean renewable energy is increasingly attracting attention by the Republic of Korea government's announcement of the renewable energy 3020 implementation plan. Monitoring of the PV climate information is essential to achieve sustainably high performance ratio of the PV plant through the efficient maintenance and to support stable grid connection of the PV plant through the prediction of the solar power generation. In this paper, in order to investigate the usefulness of the LoRa communication for monitoring the climate information of the PV power plant, a test about communication range is performed with a LoRa transceiver which is composed of the Arduino board and the RaspberryPi module in the terms of hardware, and which is implemented with a commercial protocol of the communication converter in the terms of software. It is shown from test results that the communication range for the transmission of the PV climate information reaches 1.3 km in the vicinity of Daddeok Research Complex in Daejon.","PeriodicalId":417962,"journal":{"name":"2018 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"73 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":"126408818","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.2018.8539494
N. Teerasuttakorn, K. Nuanyai, Alireza Zamani, A. Schmeink, S. Chantaraskul
Nowadays, the demand for data usage on mobile phones is increasing dramatically. In addition, smartphones with powerful multimedia capabilities have become popular. All these factors are enhancing the amount of data traffic in mobile communication systems. As a result, the users could experience increasing interference to their desired data transmission. In this paper, the techniques for enhanced Inter-Cell Interference Coordination (eICIC) in Heterogeneous Networks (HetNets) such as 4G and 5G mobile systems are studied. The Cell Range Expansion (CRE) and Almost Blank Subframe (ABS), which are the core techniques under eICIC are focused in this work. Simulation model adapted based on Vienna LTE downlink system simulation is used to verify the system performance under the implementation of CRE and ABS mechanisms. System performance in terms of cell association user fairness, SINR differences, average throughput and throughput CDF (Cumulative Distribution Function) is fully investigated while varying the major CRE and ABS configurations i.e. CRE bias value and ABS ratio. The simulation results for the system under different traffic load situations are also studied.
{"title":"Study of Almost Blank Subframe Configurations for Traffic offload in HetNets","authors":"N. Teerasuttakorn, K. Nuanyai, Alireza Zamani, A. Schmeink, S. Chantaraskul","doi":"10.1109/ICTC.2018.8539494","DOIUrl":"https://doi.org/10.1109/ICTC.2018.8539494","url":null,"abstract":"Nowadays, the demand for data usage on mobile phones is increasing dramatically. In addition, smartphones with powerful multimedia capabilities have become popular. All these factors are enhancing the amount of data traffic in mobile communication systems. As a result, the users could experience increasing interference to their desired data transmission. In this paper, the techniques for enhanced Inter-Cell Interference Coordination (eICIC) in Heterogeneous Networks (HetNets) such as 4G and 5G mobile systems are studied. The Cell Range Expansion (CRE) and Almost Blank Subframe (ABS), which are the core techniques under eICIC are focused in this work. Simulation model adapted based on Vienna LTE downlink system simulation is used to verify the system performance under the implementation of CRE and ABS mechanisms. System performance in terms of cell association user fairness, SINR differences, average throughput and throughput CDF (Cumulative Distribution Function) is fully investigated while varying the major CRE and ABS configurations i.e. CRE bias value and ABS ratio. The simulation results for the system under different traffic load situations are also studied.","PeriodicalId":417962,"journal":{"name":"2018 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"111 3S 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":"126440136","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.2018.8539555
{"title":"ICTC 2018 Technical Paper Sessions","authors":"","doi":"10.1109/ictc.2018.8539555","DOIUrl":"https://doi.org/10.1109/ictc.2018.8539555","url":null,"abstract":"","PeriodicalId":417962,"journal":{"name":"2018 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"6 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":"130005510","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.2018.8539438
Sooyoung Jang, Mikyong Han
The needs for training agent with high dimensional continuous action spaces will increase as the robot hardware such as robotic arms and humanoid robots are becoming more and more sophisticated. However, it is difficult and time-consuming task. To tackle the problem, we combine reward shaping and curriculum learning. More specifically, the rewards are provided to the agent for every step it takes and the difficulty of the problem gradually increases depending on the agent learning. Both reward function and curriculum are designed to make the agent achieve its objective. The simulation results demonstrate that the proposed scheme outperforms the comparisons.
{"title":"Combining Reward Shaping and Curriculum Learning for Training Agents with High Dimensional Continuous Action Spaces","authors":"Sooyoung Jang, Mikyong Han","doi":"10.1109/ICTC.2018.8539438","DOIUrl":"https://doi.org/10.1109/ICTC.2018.8539438","url":null,"abstract":"The needs for training agent with high dimensional continuous action spaces will increase as the robot hardware such as robotic arms and humanoid robots are becoming more and more sophisticated. However, it is difficult and time-consuming task. To tackle the problem, we combine reward shaping and curriculum learning. More specifically, the rewards are provided to the agent for every step it takes and the difficulty of the problem gradually increases depending on the agent learning. Both reward function and curriculum are designed to make the agent achieve its objective. The simulation results demonstrate that the proposed scheme outperforms the comparisons.","PeriodicalId":417962,"journal":{"name":"2018 International Conference on Information and Communication Technology Convergence (ICTC)","volume":"21 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":"129424256","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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