Pub Date : 2018-03-26DOI: 10.23919/ICACT.2018.8323912
M. Balaji, S. A. Chaudhry
Wireless Sensor Networks (WSN) exhibit enormous potential in the realization of Cyber-Physical System (CPS) and Internet of Things (IoT) because of their suitability for a large number of applications in healthcare, agriculture, education, aviation, weather forecast, military, smart homes, manufacturing and many other domains. One of the established applications of WSN is localization of moving objects, which is integral part of monitoring, surveillance, intrusion detection and target tracking. For localizing a moving object in WSNs, generally, a set of location-aware static WSN nodes are used to localize the mobile nodes or moving target using a specific localization algorithm. RSSI and Trilateration based location identification is a well-known traditional method which needs distance calculation prior to localization. Many researchers have modified the traditional trilateration method to better suit their application or in general. In this paper we present, a modified trilateration method, which uses our application specific cooperative technique with better choice of beacon node placement to improve distance calculation method. The distance values are then used to expedite the trilateration process. The proposed technique has been simulated and compared with the traditional method. The results show that our proposed technique consumes less energy and ensures faster and complete localization through the deployed sensor nodes.
{"title":"A cooperative trilateration technique for object localization","authors":"M. Balaji, S. A. Chaudhry","doi":"10.23919/ICACT.2018.8323912","DOIUrl":"https://doi.org/10.23919/ICACT.2018.8323912","url":null,"abstract":"Wireless Sensor Networks (WSN) exhibit enormous potential in the realization of Cyber-Physical System (CPS) and Internet of Things (IoT) because of their suitability for a large number of applications in healthcare, agriculture, education, aviation, weather forecast, military, smart homes, manufacturing and many other domains. One of the established applications of WSN is localization of moving objects, which is integral part of monitoring, surveillance, intrusion detection and target tracking. For localizing a moving object in WSNs, generally, a set of location-aware static WSN nodes are used to localize the mobile nodes or moving target using a specific localization algorithm. RSSI and Trilateration based location identification is a well-known traditional method which needs distance calculation prior to localization. Many researchers have modified the traditional trilateration method to better suit their application or in general. In this paper we present, a modified trilateration method, which uses our application specific cooperative technique with better choice of beacon node placement to improve distance calculation method. The distance values are then used to expedite the trilateration process. The proposed technique has been simulated and compared with the traditional method. The results show that our proposed technique consumes less energy and ensures faster and complete localization through the deployed sensor nodes.","PeriodicalId":228625,"journal":{"name":"2018 20th International Conference on Advanced Communication Technology (ICACT)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115314572","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 : 2018-03-23DOI: 10.23919/ICACT.2018.8323926
Yong Ju Lee, K. Lee
Recently, medical records are shared to online for a purpose of medical research and expert opinion. There is a problem with sharing the medical records. If someone knows the subject of the record by using various methods, it can result in an invasion of the patient's privacy. To solve the problem, it is important to carefully address the tradeoff between data sharing and privacy. For this reason, de-identification techniques are applicable to address the problem. However, de-identified data has a risk of re-identification. There are two problems with using de-identification techniques. First, de-identification techniques may damage data utility although it may decrease a risk of re-identification. Second, de-identified data can be re-identified from inference using background knowledge. The objective of this paper is to analyze the probability of re-identification according to inferable quasi-identifiers. We analyzed factors, inferable quasi-identifiers, which can be inferred from background knowledge. Then, we estimated the probability of re-identification from taking advantage of the factors. As a result, we determined the effect of the re-identification according to the type and the range of inferable quasi-identifiers. This paper contributes to a decision on de-identification target and level for protecting patient's privacy through a comparative analysis of the probability of re-identification according to the type and the range of inference.
{"title":"What are the optimum quasi-identifiers to re-identify medical records?","authors":"Yong Ju Lee, K. Lee","doi":"10.23919/ICACT.2018.8323926","DOIUrl":"https://doi.org/10.23919/ICACT.2018.8323926","url":null,"abstract":"Recently, medical records are shared to online for a purpose of medical research and expert opinion. There is a problem with sharing the medical records. If someone knows the subject of the record by using various methods, it can result in an invasion of the patient's privacy. To solve the problem, it is important to carefully address the tradeoff between data sharing and privacy. For this reason, de-identification techniques are applicable to address the problem. However, de-identified data has a risk of re-identification. There are two problems with using de-identification techniques. First, de-identification techniques may damage data utility although it may decrease a risk of re-identification. Second, de-identified data can be re-identified from inference using background knowledge. The objective of this paper is to analyze the probability of re-identification according to inferable quasi-identifiers. We analyzed factors, inferable quasi-identifiers, which can be inferred from background knowledge. Then, we estimated the probability of re-identification from taking advantage of the factors. As a result, we determined the effect of the re-identification according to the type and the range of inferable quasi-identifiers. This paper contributes to a decision on de-identification target and level for protecting patient's privacy through a comparative analysis of the probability of re-identification according to the type and the range of inference.","PeriodicalId":228625,"journal":{"name":"2018 20th International Conference on Advanced Communication Technology (ICACT)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128272878","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 : 2018-03-23DOI: 10.23919/ICACT.2018.8323672
Anh H. Dang, W. Kameyama
Deep reinforcement learning has been successfully used to train artificial intelligent (AI) agents to outperform humans in many tasks as well as to enhance the capability in robotic automation. In this paper, we propose a framework to train an AI agent to use scalable vector graphic (SVG) editor to draw SVG images. Hence, the objective of this AI agent is to draw SVG images that are similar as much as possible to their target raster images. We find that it is crucial to distinguish the action space into two sets and apply a different exploration policy on each set during the training process. Evaluations show that our proposed dual-exploration policy greatly stabilizes the training process and increases the accuracy of the AI agent. SVG images produced by the proposed AI agent also have superior quality compared to popular raster-to-SVG conversion software.
{"title":"SvgAI — Training artificial intelligent agent to use SVG editor","authors":"Anh H. Dang, W. Kameyama","doi":"10.23919/ICACT.2018.8323672","DOIUrl":"https://doi.org/10.23919/ICACT.2018.8323672","url":null,"abstract":"Deep reinforcement learning has been successfully used to train artificial intelligent (AI) agents to outperform humans in many tasks as well as to enhance the capability in robotic automation. In this paper, we propose a framework to train an AI agent to use scalable vector graphic (SVG) editor to draw SVG images. Hence, the objective of this AI agent is to draw SVG images that are similar as much as possible to their target raster images. We find that it is crucial to distinguish the action space into two sets and apply a different exploration policy on each set during the training process. Evaluations show that our proposed dual-exploration policy greatly stabilizes the training process and increases the accuracy of the AI agent. SVG images produced by the proposed AI agent also have superior quality compared to popular raster-to-SVG conversion software.","PeriodicalId":228625,"journal":{"name":"2018 20th International Conference on Advanced Communication Technology (ICACT)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122608161","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 : 2018-03-23DOI: 10.23919/ICACT.2018.8323716
Mohammad A. Almogbel, Anh H. Dang, W. Kameyama
Vehicle driver's ability to maintain optimal performance and attention is essential to ensure the safety of the traffic. Electroencephalography (EEG) signals have been proven to be effective in evaluating human's cognitive state under specific tasks. In this paper, we propose the use of deep learning on EEG signals to detect the driver's cognitive workload under high and low workload tasks. Data used in this research are collected throughout multiple driving sessions conducted on a high fidelity driving simulator. Preliminary experimental results conducted on only 4 channels of EEG show that the proposed system is capable of accurately detecting the cognitive workload of the driver with an enormous potential for improvement.
{"title":"EEG-signals based cognitive workload detection of vehicle driver using deep learning","authors":"Mohammad A. Almogbel, Anh H. Dang, W. Kameyama","doi":"10.23919/ICACT.2018.8323716","DOIUrl":"https://doi.org/10.23919/ICACT.2018.8323716","url":null,"abstract":"Vehicle driver's ability to maintain optimal performance and attention is essential to ensure the safety of the traffic. Electroencephalography (EEG) signals have been proven to be effective in evaluating human's cognitive state under specific tasks. In this paper, we propose the use of deep learning on EEG signals to detect the driver's cognitive workload under high and low workload tasks. Data used in this research are collected throughout multiple driving sessions conducted on a high fidelity driving simulator. Preliminary experimental results conducted on only 4 channels of EEG show that the proposed system is capable of accurately detecting the cognitive workload of the driver with an enormous potential for improvement.","PeriodicalId":228625,"journal":{"name":"2018 20th International Conference on Advanced Communication Technology (ICACT)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126994167","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 : 2018-02-01DOI: 10.23919/ICACT.2018.8323817
Jinhyung Oh, Jong Ho Kim, Youngjun Chong
The radio duct phenomenon is one of the factors that explain the radio interference between neighbouring countries. When the signal transmitted from the coast passes through the sea surface, the attenuation of the signal is relatively reduced due to the ducting phenomenon, and the received signal is affected to be interfered with the receiver in the coastal area of the neighbouring country. The ducting phenomenon is caused by the refractive index reversal of the high-level atmospheric information, and the amount of interference varies depending on the depth and slope of the duct due to the atmospheric refractive index. In this paper, we analyse the atmospheric refractive index in a specific region and explain the occurrence of duct phenomenon through path loss simulation related to the region.
{"title":"Analysis of path loss about radio duct phenomenon with atmospheric refractive index information","authors":"Jinhyung Oh, Jong Ho Kim, Youngjun Chong","doi":"10.23919/ICACT.2018.8323817","DOIUrl":"https://doi.org/10.23919/ICACT.2018.8323817","url":null,"abstract":"The radio duct phenomenon is one of the factors that explain the radio interference between neighbouring countries. When the signal transmitted from the coast passes through the sea surface, the attenuation of the signal is relatively reduced due to the ducting phenomenon, and the received signal is affected to be interfered with the receiver in the coastal area of the neighbouring country. The ducting phenomenon is caused by the refractive index reversal of the high-level atmospheric information, and the amount of interference varies depending on the depth and slope of the duct due to the atmospheric refractive index. In this paper, we analyse the atmospheric refractive index in a specific region and explain the occurrence of duct phenomenon through path loss simulation related to the region.","PeriodicalId":228625,"journal":{"name":"2018 20th International Conference on Advanced Communication Technology (ICACT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122307987","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 : 2018-02-01DOI: 10.23919/ICACT.2018.8323733
Rico Valentino, W. Jung, Young-Bae Ko
Providing many beneficial characteristics, Unmanned Aerial Vehicles (UAVs) have become extremely popular in terms of their utilization in everyday life and military system. As they have bigger and more advanced tasks as time goes by, clusters of small UAVs are preferred rather than one single large UAV since they offer bigger coverage area, higher flexibility, and even more reliability. However, the drone system has limited computing power and energy resource which makes it a challenge how to utilize this system to have a long operation time. In this paper, we propose an opportunistic computational offloading system which borrows computing power from other drones cluster to help finishing tasks on a specified cluster. When there is a drone cluster having a lot of computing tasks exists with another cluster in the communication range that has enough computing resources or in the idle state, our proposed scheme will make a cluster head to opportunistically decide to do offloading or not by considering various costs. The proposed scheme aims to increase the drone's lifetime and also to shorten the response time.
{"title":"Opportunistic computational offloading system for clusters of drones","authors":"Rico Valentino, W. Jung, Young-Bae Ko","doi":"10.23919/ICACT.2018.8323733","DOIUrl":"https://doi.org/10.23919/ICACT.2018.8323733","url":null,"abstract":"Providing many beneficial characteristics, Unmanned Aerial Vehicles (UAVs) have become extremely popular in terms of their utilization in everyday life and military system. As they have bigger and more advanced tasks as time goes by, clusters of small UAVs are preferred rather than one single large UAV since they offer bigger coverage area, higher flexibility, and even more reliability. However, the drone system has limited computing power and energy resource which makes it a challenge how to utilize this system to have a long operation time. In this paper, we propose an opportunistic computational offloading system which borrows computing power from other drones cluster to help finishing tasks on a specified cluster. When there is a drone cluster having a lot of computing tasks exists with another cluster in the communication range that has enough computing resources or in the idle state, our proposed scheme will make a cluster head to opportunistically decide to do offloading or not by considering various costs. The proposed scheme aims to increase the drone's lifetime and also to shorten the response time.","PeriodicalId":228625,"journal":{"name":"2018 20th International Conference on Advanced Communication Technology (ICACT)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130386455","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 : 2018-02-01DOI: 10.23919/ICACT.2018.8323865
Kéba Gueye, Ngartabe Kag-Teube, S. Ouya, Davy Edgard Moussavou
This article proposes a system of universal access to quality and low cost care based on sensors for the continuous monitoring of physiological parameters. Surveillance is essential for patients with chronic diseases such as high blood pressure (hbp) with a mortality rate of 24% in the country and diabetes in rural areas of Senegal lacking medical specialists. A micro-computer system based on raspberry pi is used. Nurses in rural areas can use to collect biometric information captured by sensors such as high blood pressure, blood sugar, electrocardiogram (ECG) and body temperature of the patient. If one of the patient's biometric parameters exceeds normal, the nurse sends a message to a specialist physician in their area.
{"title":"Proposal for a universal access solution to care in rural areas: Case of Senegal","authors":"Kéba Gueye, Ngartabe Kag-Teube, S. Ouya, Davy Edgard Moussavou","doi":"10.23919/ICACT.2018.8323865","DOIUrl":"https://doi.org/10.23919/ICACT.2018.8323865","url":null,"abstract":"This article proposes a system of universal access to quality and low cost care based on sensors for the continuous monitoring of physiological parameters. Surveillance is essential for patients with chronic diseases such as high blood pressure (hbp) with a mortality rate of 24% in the country and diabetes in rural areas of Senegal lacking medical specialists. A micro-computer system based on raspberry pi is used. Nurses in rural areas can use to collect biometric information captured by sensors such as high blood pressure, blood sugar, electrocardiogram (ECG) and body temperature of the patient. If one of the patient's biometric parameters exceeds normal, the nurse sends a message to a specialist physician in their area.","PeriodicalId":228625,"journal":{"name":"2018 20th International Conference on Advanced Communication Technology (ICACT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130620179","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 : 2018-02-01DOI: 10.23919/ICACT.2018.8323827
Sangkeun Yoo, Yong-Woon Kim, Hoon Choi
This paper proposes an assessment framework for smart manufacturing in terms of the extent of Information & Communication Technologies (ICT) adoption to manufacturing process. For an assessment framework, this paper establishes assessment principles and identifies activities of manufacturing process to be assessed. In addition, maturity levels of smart manufacturing are defined in this paper. Each level has different characteristics and different extent of ICT adoption in manufacturing process. Based on an assessment reference model, this paper gives a way of creating assessment indicators for each activities per each maturity levels. With answers to questionnaires/indicators, smart manufacturing can be assessed and expressed as a maturity level.
{"title":"An assessment framework for smart manufacturing","authors":"Sangkeun Yoo, Yong-Woon Kim, Hoon Choi","doi":"10.23919/ICACT.2018.8323827","DOIUrl":"https://doi.org/10.23919/ICACT.2018.8323827","url":null,"abstract":"This paper proposes an assessment framework for smart manufacturing in terms of the extent of Information & Communication Technologies (ICT) adoption to manufacturing process. For an assessment framework, this paper establishes assessment principles and identifies activities of manufacturing process to be assessed. In addition, maturity levels of smart manufacturing are defined in this paper. Each level has different characteristics and different extent of ICT adoption in manufacturing process. Based on an assessment reference model, this paper gives a way of creating assessment indicators for each activities per each maturity levels. With answers to questionnaires/indicators, smart manufacturing can be assessed and expressed as a maturity level.","PeriodicalId":228625,"journal":{"name":"2018 20th International Conference on Advanced Communication Technology (ICACT)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130634924","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 : 2018-02-01DOI: 10.23919/ICACT.2018.8323779
Jung Hoon Kim, Minseo Kim, T. Yang, I. Kim, Jun Seo, Summoo Kang
This Study is about automatic reading of text for visually disabled persons or children. Usually, they often have difficulty reading letters even if they understand and know the language. Though this research, Using QR code and text compression algorithm SMAZ and TTS, it is possible to develop a system that automatically reads storybooks, location information guides, etc. to improve the learning effect of children and improve the living quality of visually disabled people.
{"title":"Compressed QR code-based mobile voice guidance service for the visually disabled","authors":"Jung Hoon Kim, Minseo Kim, T. Yang, I. Kim, Jun Seo, Summoo Kang","doi":"10.23919/ICACT.2018.8323779","DOIUrl":"https://doi.org/10.23919/ICACT.2018.8323779","url":null,"abstract":"This Study is about automatic reading of text for visually disabled persons or children. Usually, they often have difficulty reading letters even if they understand and know the language. Though this research, Using QR code and text compression algorithm SMAZ and TTS, it is possible to develop a system that automatically reads storybooks, location information guides, etc. to improve the learning effect of children and improve the living quality of visually disabled people.","PeriodicalId":228625,"journal":{"name":"2018 20th International Conference on Advanced Communication Technology (ICACT)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123871251","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 : 2018-02-01DOI: 10.23919/ICACT.2018.8323861
Pengfei Yang, Daolu Zha, Xi Jin
A pipelined division arithmetic for fixed operation using user-defined floating point is proposed in this paper. Division operation is difficult in fixed operation, the dividend A is firstly converted into user-defined floating point, then the inverse is implemented in the invertor unit. B/A will complete with a fixed multiplication. Linear approximation theory and Newton-Raphson iteration are used in invertor unit. The major advanced of this arithmetic is that it easily combines with fixed operation, we can proposed user-defined floating point according to the range of dividend A and the accuracy can easily acquire. In this paper, invertor unit for A range to [0.5, 2) with 23 decimal bits is designed. It is compiled and implemented both on FPGA and Synopsys Design Compiler.
{"title":"A pipelined division for fixed operation using user-defined floating point","authors":"Pengfei Yang, Daolu Zha, Xi Jin","doi":"10.23919/ICACT.2018.8323861","DOIUrl":"https://doi.org/10.23919/ICACT.2018.8323861","url":null,"abstract":"A pipelined division arithmetic for fixed operation using user-defined floating point is proposed in this paper. Division operation is difficult in fixed operation, the dividend A is firstly converted into user-defined floating point, then the inverse is implemented in the invertor unit. B/A will complete with a fixed multiplication. Linear approximation theory and Newton-Raphson iteration are used in invertor unit. The major advanced of this arithmetic is that it easily combines with fixed operation, we can proposed user-defined floating point according to the range of dividend A and the accuracy can easily acquire. In this paper, invertor unit for A range to [0.5, 2) with 23 decimal bits is designed. It is compiled and implemented both on FPGA and Synopsys Design Compiler.","PeriodicalId":228625,"journal":{"name":"2018 20th International Conference on Advanced Communication Technology (ICACT)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124079031","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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