Pub Date : 1900-01-01DOI: 10.23919/ELINFOCOM.2018.8330659
Eal Kim, Suhyeon Im, O-Joun Lee, H. Park, Hyeonjoon Moon, J. T. Kwak
In this study, we propose a deep learning method to segment plants in images. The deep learning method is composed of a contracting path and expanding path. The contracting path learns high level feature representation of images and the expanding path interprets the high level features and generates segmentation maps. The proposed method is trained and validated, via five-fold cross validation, using images of radish seedlings. The method achieved 99.15% accuracy and 0.9790 Dice coefficient, suggesting that deep learning could play a significant role in processing and analyzing plant images.
{"title":"Deep convolution and up-convolution network for plant segmentation","authors":"Eal Kim, Suhyeon Im, O-Joun Lee, H. Park, Hyeonjoon Moon, J. T. Kwak","doi":"10.23919/ELINFOCOM.2018.8330659","DOIUrl":"https://doi.org/10.23919/ELINFOCOM.2018.8330659","url":null,"abstract":"In this study, we propose a deep learning method to segment plants in images. The deep learning method is composed of a contracting path and expanding path. The contracting path learns high level feature representation of images and the expanding path interprets the high level features and generates segmentation maps. The proposed method is trained and validated, via five-fold cross validation, using images of radish seedlings. The method achieved 99.15% accuracy and 0.9790 Dice coefficient, suggesting that deep learning could play a significant role in processing and analyzing plant images.","PeriodicalId":413646,"journal":{"name":"2018 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"81 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":"133076042","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: 10.23919/ELINFOCOM.2018.8330548
Ryoongbin Lee, Suhyeon Kim, Sangwan Kim, Sihyun Kim, Junil Lee, E. Park, Hyun-Min Kim, Kitae Lee, Byung-Gook Park
In this paper, performance degradation of Si1−xGex gate-all-around (GAA) Field-Effect Transistor (FET) depending on interface trap position was investigated through TCAD simulations. Interface traps were located at three different points along the channel. Parameters such as hole mobility and energy band were analyzed to understand the effects of partially generated interface traps by unstable GeOx.
{"title":"Simulation study on influence of interface trap position in Sii-xGex Gate-All-Around (GAA) field-effect transistor","authors":"Ryoongbin Lee, Suhyeon Kim, Sangwan Kim, Sihyun Kim, Junil Lee, E. Park, Hyun-Min Kim, Kitae Lee, Byung-Gook Park","doi":"10.23919/ELINFOCOM.2018.8330548","DOIUrl":"https://doi.org/10.23919/ELINFOCOM.2018.8330548","url":null,"abstract":"In this paper, performance degradation of Si1−xGex gate-all-around (GAA) Field-Effect Transistor (FET) depending on interface trap position was investigated through TCAD simulations. Interface traps were located at three different points along the channel. Parameters such as hole mobility and energy band were analyzed to understand the effects of partially generated interface traps by unstable GeOx.","PeriodicalId":413646,"journal":{"name":"2018 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"101 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":"116334703","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: 10.23919/ELINFOCOM.2018.8330650
Min Sub Kim, Il Hyung Jung, Kimoon Han, Jae Yong Lee, Byung Chul Kim
MPTCP is a very promising protocol for improving throughput and reliability for a multi-interface device. However, the throughput of MPTCP is unexpectedly degraded when the characteristics of subflows, such as bandwidth or delay, are different because of HoL blocking at the MPTCP receiver buffer. Therefore, in order to solve this problem, in this paper, we monitor the receiver's reordering buffer to detect the HoL blocking phenomenon and to retransmit the problematic HoL (Head of Line) packet using the fast path. During bufferbloat, the data transmission of the long-RTT path is suppressed and the path re-activation timing is monitored by transmitting the probe packet pairs. Simulation results show that the proposed algorithm not only improves performance degradation due to long-RTT path in bufferbloat situation but also reduces data transmission time.
MPTCP是一种非常有前途的协议，可以提高多接口设备的吞吐量和可靠性。然而，当子流的带宽或延迟等特征由于MPTCP接收端缓冲区的HoL阻塞而不同时，MPTCP的吞吐量会意外地降低。因此，为了解决这一问题，本文通过监控接收端的重排序缓冲区来检测HoL阻塞现象，并使用快速路径重传有问题的HoL (Head of Line)数据包。在bufferbloat期间，抑制长rtt路径的数据传输，并通过发送探测包对来监控路径重新激活时间。仿真结果表明，该算法不仅改善了缓冲区膨胀情况下由于长rtt路径导致的性能下降，而且减少了数据传输时间。
{"title":"Performance enhancement of MPTCP having a bufferbloat path using retransmission of HoL blocking packets","authors":"Min Sub Kim, Il Hyung Jung, Kimoon Han, Jae Yong Lee, Byung Chul Kim","doi":"10.23919/ELINFOCOM.2018.8330650","DOIUrl":"https://doi.org/10.23919/ELINFOCOM.2018.8330650","url":null,"abstract":"MPTCP is a very promising protocol for improving throughput and reliability for a multi-interface device. However, the throughput of MPTCP is unexpectedly degraded when the characteristics of subflows, such as bandwidth or delay, are different because of HoL blocking at the MPTCP receiver buffer. Therefore, in order to solve this problem, in this paper, we monitor the receiver's reordering buffer to detect the HoL blocking phenomenon and to retransmit the problematic HoL (Head of Line) packet using the fast path. During bufferbloat, the data transmission of the long-RTT path is suppressed and the path re-activation timing is monitored by transmitting the probe packet pairs. Simulation results show that the proposed algorithm not only improves performance degradation due to long-RTT path in bufferbloat situation but also reduces data transmission time.","PeriodicalId":413646,"journal":{"name":"2018 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"75 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":"116338542","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: 10.23919/ELINFOCOM.2018.8330683
Wan Choi, Hyosoon Kwon, Woohee Park, Jin Hyuk Park, Su Bin Lee, S. Heo
Previous robot-mediated gait training has been proven several limitations such as pointless repeated motion training, decreased presence, etc. In this research, adult stroke patients were participated in robot-mediated gait training accompanied with virtual reality program. The results indicated virtual reality system could contribute to muscle strength and balance ability.
{"title":"Effects of robot-mediated gait training combined with virtual reality system","authors":"Wan Choi, Hyosoon Kwon, Woohee Park, Jin Hyuk Park, Su Bin Lee, S. Heo","doi":"10.23919/ELINFOCOM.2018.8330683","DOIUrl":"https://doi.org/10.23919/ELINFOCOM.2018.8330683","url":null,"abstract":"Previous robot-mediated gait training has been proven several limitations such as pointless repeated motion training, decreased presence, etc. In this research, adult stroke patients were participated in robot-mediated gait training accompanied with virtual reality program. The results indicated virtual reality system could contribute to muscle strength and balance ability.","PeriodicalId":413646,"journal":{"name":"2018 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"54 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":"116347743","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: 10.23919/ELINFOCOM.2018.8330666
Ki‐Chan Woo, Tae-Woo Kim, Seon-Kwang Hwang, Mi-Jeong Kim, Byung‐Do Yang
This paper proposes a fast-transient coarse-fine digital low-dropout regulator (D-LDO). The conventional D-LDO operates a coarse shift-register and a comparator at a fast clock in coarse mode when an overshoot or undershoot voltage occurs, for a fast-transient response. After coarse mode, it operates a fine shift-register at a slow clock for low power consumption in fine mode. However, the comparator operates at a fast clock for a low ripple voltage. The proposed D-LDO reduces the response time to a half of the conventional D-LDO, by using the proposed double edge-triggered comparator and by shifting the shift-register at the double edges of clocks. As a result, it reduces the overshoot and undershoot voltages. It also reduces the power consumption of the comparator in fine mode by using a slow clock instead of a fast clock. But, it still has a low ripple voltage due to the proposed comparator with a completion signal. The proposed D-LDO was implemented using a 65nm CMOS process. In the simulation, the settling time is reduced to 340ns from 880ns of the conventional D-LDO. The overshoot and undershoot voltages are reduced to 23mV and 37mV from 129mV and 127mV, respectively. The ripple voltage is 1.5mV and the current efficiency is 99.94%.
{"title":"A fast-transient digital LDO using a double edge-triggered comparator with a completion signal","authors":"Ki‐Chan Woo, Tae-Woo Kim, Seon-Kwang Hwang, Mi-Jeong Kim, Byung‐Do Yang","doi":"10.23919/ELINFOCOM.2018.8330666","DOIUrl":"https://doi.org/10.23919/ELINFOCOM.2018.8330666","url":null,"abstract":"This paper proposes a fast-transient coarse-fine digital low-dropout regulator (D-LDO). The conventional D-LDO operates a coarse shift-register and a comparator at a fast clock in coarse mode when an overshoot or undershoot voltage occurs, for a fast-transient response. After coarse mode, it operates a fine shift-register at a slow clock for low power consumption in fine mode. However, the comparator operates at a fast clock for a low ripple voltage. The proposed D-LDO reduces the response time to a half of the conventional D-LDO, by using the proposed double edge-triggered comparator and by shifting the shift-register at the double edges of clocks. As a result, it reduces the overshoot and undershoot voltages. It also reduces the power consumption of the comparator in fine mode by using a slow clock instead of a fast clock. But, it still has a low ripple voltage due to the proposed comparator with a completion signal. The proposed D-LDO was implemented using a 65nm CMOS process. In the simulation, the settling time is reduced to 340ns from 880ns of the conventional D-LDO. The overshoot and undershoot voltages are reduced to 23mV and 37mV from 129mV and 127mV, respectively. The ripple voltage is 1.5mV and the current efficiency is 99.94%.","PeriodicalId":413646,"journal":{"name":"2018 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"36 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":"117080795","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: 10.23919/ELINFOCOM.2018.8330590
R. Yamamoto, S. Ohzahata, Toshihiko Kato
Recently, the growth of communication services and technology make networks essential for our daily life, and mobile user terminals such as a smartphone becomes a major communication tool to access the Internet for obtaining information. Moreover, local information services with geo-fencing can provide adaptive information provisioning to users entering specific pre-defined area according to the user location. However, these services are still trapped in the conventional client/server-oriented services, which generally has lower adaptability to the immediate information dissemination such as traffic information on VANET. As concerns this, this paper proposes a novel information localization method for geo-fencing data dissemination with ad hoc communication.
{"title":"Adaptive geo-fencing with local storage architecture on ad hoc networks","authors":"R. Yamamoto, S. Ohzahata, Toshihiko Kato","doi":"10.23919/ELINFOCOM.2018.8330590","DOIUrl":"https://doi.org/10.23919/ELINFOCOM.2018.8330590","url":null,"abstract":"Recently, the growth of communication services and technology make networks essential for our daily life, and mobile user terminals such as a smartphone becomes a major communication tool to access the Internet for obtaining information. Moreover, local information services with geo-fencing can provide adaptive information provisioning to users entering specific pre-defined area according to the user location. However, these services are still trapped in the conventional client/server-oriented services, which generally has lower adaptability to the immediate information dissemination such as traffic information on VANET. As concerns this, this paper proposes a novel information localization method for geo-fencing data dissemination with ad hoc communication.","PeriodicalId":413646,"journal":{"name":"2018 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"441 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":"125764500","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: 10.23919/ELINFOCOM.2018.8330591
Eung-Kyeu Kim, Byunghyun Jang
In this paper, we propose a dection method of the leukocyte motions in a microvessel and show a measurement result of the leukocyte velocities. we use the constraint that the leukocytes move along the blood vessel wall contours and detect the leukocyte motions using the spatiotemporal image analysis method. The generated spatiotemporal image is processed by a special orientation-selective filter and subsequent grouping processes newly developed for this application. The subsequent grouping processes select and group the leukocyte trace segments among all the segments obtained by simple thresholding and skeletonizing operations. The leukocyte velocities are estimated from the obtained trace segments by grouping when threshold at three hundred.
{"title":"Detection and measurement of leukocyte motions in a microvessel","authors":"Eung-Kyeu Kim, Byunghyun Jang","doi":"10.23919/ELINFOCOM.2018.8330591","DOIUrl":"https://doi.org/10.23919/ELINFOCOM.2018.8330591","url":null,"abstract":"In this paper, we propose a dection method of the leukocyte motions in a microvessel and show a measurement result of the leukocyte velocities. we use the constraint that the leukocytes move along the blood vessel wall contours and detect the leukocyte motions using the spatiotemporal image analysis method. The generated spatiotemporal image is processed by a special orientation-selective filter and subsequent grouping processes newly developed for this application. The subsequent grouping processes select and group the leukocyte trace segments among all the segments obtained by simple thresholding and skeletonizing operations. The leukocyte velocities are estimated from the obtained trace segments by grouping when threshold at three hundred.","PeriodicalId":413646,"journal":{"name":"2018 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"36 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":"129571479","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: 10.23919/ELINFOCOM.2018.8330607
Shuxiang Song, Sangwook Park, J. Paik
This paper presents a dual region based cross-channel registration for the dual color-filter aperture (DCA) image. Despite a DCA image contains depth information, disparity calculation between its color channels is a complex problem. The proposed registration method consists of four steps: (1) dual region division, (2) disparity map generation using Cross-Channel Normalized Gradient (CCNG), (3) disparity refinement using simple linear iterative clustering(SLIC) superpixel and (4) reconstruction aligned color channel using inpainting. Experiment result shows that the proposed method performs significant for DCA image registration and depth estimation.
{"title":"Dual region based color channel registration for multiple color filtered aperture image","authors":"Shuxiang Song, Sangwook Park, J. Paik","doi":"10.23919/ELINFOCOM.2018.8330607","DOIUrl":"https://doi.org/10.23919/ELINFOCOM.2018.8330607","url":null,"abstract":"This paper presents a dual region based cross-channel registration for the dual color-filter aperture (DCA) image. Despite a DCA image contains depth information, disparity calculation between its color channels is a complex problem. The proposed registration method consists of four steps: (1) dual region division, (2) disparity map generation using Cross-Channel Normalized Gradient (CCNG), (3) disparity refinement using simple linear iterative clustering(SLIC) superpixel and (4) reconstruction aligned color channel using inpainting. Experiment result shows that the proposed method performs significant for DCA image registration and depth estimation.","PeriodicalId":413646,"journal":{"name":"2018 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"159 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":"126910331","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: 10.23919/ELINFOCOM.2018.8330588
Hyunguk Choi, QuangVinh Dinh, M. Jeon
Multi-target tracking in a camera network is one of the fastest growing fields. Re-identification is one of the most important and challenging parts of multi-target multi-camera tracking. In this paper, we introduce an approach to overcome illumination change problems. The proposed framework uses convolutional neural networks to extract features and then computes relationship matrices based on connectivity between the features. The framework is trained to avoid the ambiguity of objects that are seriously affected by illumination changes. The relationship matrix is calculated by feature matrices based on multiple brightness, which is learned by considering all the brightness cases. Experimental evaluation shows that the proposed method outperforms state-of the art competitors.
{"title":"Robust relationship learning to illumination in a camera network","authors":"Hyunguk Choi, QuangVinh Dinh, M. Jeon","doi":"10.23919/ELINFOCOM.2018.8330588","DOIUrl":"https://doi.org/10.23919/ELINFOCOM.2018.8330588","url":null,"abstract":"Multi-target tracking in a camera network is one of the fastest growing fields. Re-identification is one of the most important and challenging parts of multi-target multi-camera tracking. In this paper, we introduce an approach to overcome illumination change problems. The proposed framework uses convolutional neural networks to extract features and then computes relationship matrices based on connectivity between the features. The framework is trained to avoid the ambiguity of objects that are seriously affected by illumination changes. The relationship matrix is calculated by feature matrices based on multiple brightness, which is learned by considering all the brightness cases. Experimental evaluation shows that the proposed method outperforms state-of the art competitors.","PeriodicalId":413646,"journal":{"name":"2018 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"59 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":"127977719","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: 10.23919/ELINFOCOM.2018.8330637
Euncheol Kang, Il-Seok Oh
Recently the computer vision and machine learning research communities pay a great attention to the leaf image recognition problem. Our literature survey focusing on the user interaction aspect reveals that two schemes of image acquisition have been used, one with strong constraint and the other with no constraint. The strong constraint interaction asks users to capture images by placing a leaf on a uniform background such as white paper while the unconstrained interaction allows any form of image capturing. The former one gets a high performance sacrificing the user convenience while the latter one provides a great convenience sacrificing the recognition performance. Our scheme is weakly constrained in the middle of two extremes. The proposed interaction scheme only asks users to center the leaf on smartphone camera screen. The leaf may be on the tree or off the tree. When the leaf is picked off the tree, it is recommended to place it against rather uniform background such as sky, soil, or tree bark. By fine-tuning the pre-trained CNNs (Convolutional Neural Network), we obtained a practical performance, 96.08% top-1 and 99.81% top-5 accuracies. The dataset is publicly open and the recognition system is released as an Android App.
{"title":"Weak constraint leaf image recognition based on convolutional neural network","authors":"Euncheol Kang, Il-Seok Oh","doi":"10.23919/ELINFOCOM.2018.8330637","DOIUrl":"https://doi.org/10.23919/ELINFOCOM.2018.8330637","url":null,"abstract":"Recently the computer vision and machine learning research communities pay a great attention to the leaf image recognition problem. Our literature survey focusing on the user interaction aspect reveals that two schemes of image acquisition have been used, one with strong constraint and the other with no constraint. The strong constraint interaction asks users to capture images by placing a leaf on a uniform background such as white paper while the unconstrained interaction allows any form of image capturing. The former one gets a high performance sacrificing the user convenience while the latter one provides a great convenience sacrificing the recognition performance. Our scheme is weakly constrained in the middle of two extremes. The proposed interaction scheme only asks users to center the leaf on smartphone camera screen. The leaf may be on the tree or off the tree. When the leaf is picked off the tree, it is recommended to place it against rather uniform background such as sky, soil, or tree bark. By fine-tuning the pre-trained CNNs (Convolutional Neural Network), we obtained a practical performance, 96.08% top-1 and 99.81% top-5 accuracies. The dataset is publicly open and the recognition system is released as an Android App.","PeriodicalId":413646,"journal":{"name":"2018 International Conference on Electronics, Information, and Communication (ICEIC)","volume":"275 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":"114107587","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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