This article has researched on the new comparator design technical, including Four kinds of improving method. 1. A new energy-efficient ring oscillator collapse-based comparator named edge-pursuit comparator changes the comparison energy and adjusts the performance automatically without control, which decrease the unnecessary energy consumption. 2. A comparator with a dynamic bias pre-amplifier and compares it with current technologies in terms of energy consumption and input referred noise voltage. 3. A new type of low-power, high speed dynamic comparator, gm-enhanced, applies the separated gate-biasing cross-coupled transistors, the comparator becomes faster and have less consumption. 4.A floating reservoir capacitor called FIA is presented, which improves gm/ID to decreases the noise and reuses the current to achieve 7 times energy-efficiency improvement than the previous technology, SA latch. The cases above are studied step by step. Moreover, the rules and formular of the cases are derived to find their character, which will benefit to applying in the different requirement.
{"title":"A review of four types of comparators","authors":"Shijie He, Yuyao Liu, Pei-Fong Lu","doi":"10.1117/12.2640503","DOIUrl":"https://doi.org/10.1117/12.2640503","url":null,"abstract":"This article has researched on the new comparator design technical, including Four kinds of improving method. 1. A new energy-efficient ring oscillator collapse-based comparator named edge-pursuit comparator changes the comparison energy and adjusts the performance automatically without control, which decrease the unnecessary energy consumption. 2. A comparator with a dynamic bias pre-amplifier and compares it with current technologies in terms of energy consumption and input referred noise voltage. 3. A new type of low-power, high speed dynamic comparator, gm-enhanced, applies the separated gate-biasing cross-coupled transistors, the comparator becomes faster and have less consumption. 4.A floating reservoir capacitor called FIA is presented, which improves gm/ID to decreases the noise and reuses the current to achieve 7 times energy-efficiency improvement than the previous technology, SA latch. The cases above are studied step by step. Moreover, the rules and formular of the cases are derived to find their character, which will benefit to applying in the different requirement.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128582064","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}
We introduce the AT-GCN (Adaptive Threshold filtering Graph Convolutional Neural network model). AT-GCN is a recommendation model based on graph structure. Compared with the commonly used graph structure recommendation model, AT-GCN can effectively solve the problem of edge representation and information transfer, and improve the recommendation effect. In the experimental part, several groups of experiments were carried out on AT-GCN, and the above conclusions were finally verified by the experimental results.
{"title":"Recommender system based on adaptive threshold filtering GCN","authors":"Meng Qiao, Hairen Gui, Ke Tang","doi":"10.1117/12.2639323","DOIUrl":"https://doi.org/10.1117/12.2639323","url":null,"abstract":"We introduce the AT-GCN (Adaptive Threshold filtering Graph Convolutional Neural network model). AT-GCN is a recommendation model based on graph structure. Compared with the commonly used graph structure recommendation model, AT-GCN can effectively solve the problem of edge representation and information transfer, and improve the recommendation effect. In the experimental part, several groups of experiments were carried out on AT-GCN, and the above conclusions were finally verified by the experimental results.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125473276","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}
Short videos on the Internet are growing exponentially, and the number of videos uploaded every day is huge; people also involve a lot of video data in real life. People can retrieve and view all kinds of videos, but it also brings a lot of problems. On the one hand, the accumulation of a large number of videos makes people unable to find the videos they want quickly, and the repeated scenes in the videos will also waste people's time and energy; on the other hand, a large amount of video data also brings enormous pressure to storage. Aiming at the problems of inaccurate selection of key frames and how to select video frame features in existing video summarization models, this paper proposes a multi-feature-based video summarization generation model (DME-VSNet), which extracts multiple features of video frames. Including importance score, image memory strength and image entropy. Aiming at the problem of inaccurate video shot segmentation, this model proposes a video shot segmentation algorithm based on TransNet network, which divides the original video into several short shots through shot boundaries; the model inputs the above three features into the proposed The video frame score is obtained in the MLP architecture, and the key frame is selected by the score to generate a video summary. The effectiveness of the video shot segmentation method based on TransNet network and the overall model based on convolutional neural network is verified by comparative experiments. The experimental results show that the evaluation results of the video summaries generated by the three features are better.
{"title":"Research on video summarization method based on convolutional neural network","authors":"Ke-xin Zheng, Xiang Chen","doi":"10.1117/12.2639224","DOIUrl":"https://doi.org/10.1117/12.2639224","url":null,"abstract":"Short videos on the Internet are growing exponentially, and the number of videos uploaded every day is huge; people also involve a lot of video data in real life. People can retrieve and view all kinds of videos, but it also brings a lot of problems. On the one hand, the accumulation of a large number of videos makes people unable to find the videos they want quickly, and the repeated scenes in the videos will also waste people's time and energy; on the other hand, a large amount of video data also brings enormous pressure to storage. Aiming at the problems of inaccurate selection of key frames and how to select video frame features in existing video summarization models, this paper proposes a multi-feature-based video summarization generation model (DME-VSNet), which extracts multiple features of video frames. Including importance score, image memory strength and image entropy. Aiming at the problem of inaccurate video shot segmentation, this model proposes a video shot segmentation algorithm based on TransNet network, which divides the original video into several short shots through shot boundaries; the model inputs the above three features into the proposed The video frame score is obtained in the MLP architecture, and the key frame is selected by the score to generate a video summary. The effectiveness of the video shot segmentation method based on TransNet network and the overall model based on convolutional neural network is verified by comparative experiments. The experimental results show that the evaluation results of the video summaries generated by the three features are better.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127931061","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}
With the rapid development of the Internet of Things, the problem of channel noise restriction has become increasingly prominent. In the application process, the SNR is too low. In order to solve the above problems, an adaptive digital filtering method of noise in Internet of Things communication channel is designed. Extract the network spread spectrum factor, extend the original signal to a higher bandwidth transmission, improve the communication channel noise detection mode, forward the received source signal to the destination and amplify, realize the design of adaptive digital filtering method. Experimental results: The signal to noise ratio of the self-adaptive digital filtering method of the Internet of Things communication channel noise in this paper is 2.903dB and 2.866dB more than the mean of the other two methods, indicating that the self-adaptive digital filtering method of the Internet of Things communication channel noise in this design is more effective.
{"title":"Adaptive digital filtering method for communication channel noise in Internet of Things","authors":"Fanzhi Meng","doi":"10.1117/12.2639660","DOIUrl":"https://doi.org/10.1117/12.2639660","url":null,"abstract":"With the rapid development of the Internet of Things, the problem of channel noise restriction has become increasingly prominent. In the application process, the SNR is too low. In order to solve the above problems, an adaptive digital filtering method of noise in Internet of Things communication channel is designed. Extract the network spread spectrum factor, extend the original signal to a higher bandwidth transmission, improve the communication channel noise detection mode, forward the received source signal to the destination and amplify, realize the design of adaptive digital filtering method. Experimental results: The signal to noise ratio of the self-adaptive digital filtering method of the Internet of Things communication channel noise in this paper is 2.903dB and 2.866dB more than the mean of the other two methods, indicating that the self-adaptive digital filtering method of the Internet of Things communication channel noise in this design is more effective.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"12258 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129162089","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}
This paper introduces six innovative designs of comparators proposed in recent years. The original intention to propose these improvements mainly focuses on the indexes including speed, area, power and offset, which measure the performance of comparators. Several newly proposed techniques are effective in designs. An improved DOC (dynamic-offsetcancellation) could increase speed and save area; Floating inverter pre-amplifier (FIA) can realize maximizing energy efficiency and reducing noise; Importing on-chip inductors in regenerative comparators has been verified reaching attractive goals successfully. Modifying structures and transistor type is also a feasible approach. After optimization, dynamic bias latch-type improves its predecessor’s performance in energy and noise; N-parallel paths could be applied to improve driving capability of latch; A novel voltage comparator termed an edge-race comparator (ERC) outperforms the conventional edition---the edge-pursuit comparator (EPC).
{"title":"The research on several innovative comparators","authors":"Yuqi Tu, Ruizhe Zhang, Xiaorui Zhang","doi":"10.1117/12.2640506","DOIUrl":"https://doi.org/10.1117/12.2640506","url":null,"abstract":"This paper introduces six innovative designs of comparators proposed in recent years. The original intention to propose these improvements mainly focuses on the indexes including speed, area, power and offset, which measure the performance of comparators. Several newly proposed techniques are effective in designs. An improved DOC (dynamic-offsetcancellation) could increase speed and save area; Floating inverter pre-amplifier (FIA) can realize maximizing energy efficiency and reducing noise; Importing on-chip inductors in regenerative comparators has been verified reaching attractive goals successfully. Modifying structures and transistor type is also a feasible approach. After optimization, dynamic bias latch-type improves its predecessor’s performance in energy and noise; N-parallel paths could be applied to improve driving capability of latch; A novel voltage comparator termed an edge-race comparator (ERC) outperforms the conventional edition---the edge-pursuit comparator (EPC).","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124360925","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}
A communication system for remote communication is designed. The system uses FPGA as the main control unit and pulse position modulation PPM as the basic modulation mode. Aiming at the problem that frame synchronization can not be realized in PPM communication, this design adopts the way of adding frame head frame tail structure and inserting protection gap to ensure information synchronization. In addition, the four-phase clock synchronization extraction method is used in the synchronous demodulation of PPM signal at the receiving end, which effectively reduces the error rate of FPGA in the working process, and greatly simplifies the design of the whole system. In this design, the encoding of PPM will use Gray code mapping to reduce the bit error rate. Finally, the system achieves a faster communication rate, and the BER of the actual test is low.
{"title":"Design of pulse position modulation system based on programmable logic device","authors":"Yuting Liu","doi":"10.1117/12.2640750","DOIUrl":"https://doi.org/10.1117/12.2640750","url":null,"abstract":"A communication system for remote communication is designed. The system uses FPGA as the main control unit and pulse position modulation PPM as the basic modulation mode. Aiming at the problem that frame synchronization can not be realized in PPM communication, this design adopts the way of adding frame head frame tail structure and inserting protection gap to ensure information synchronization. In addition, the four-phase clock synchronization extraction method is used in the synchronous demodulation of PPM signal at the receiving end, which effectively reduces the error rate of FPGA in the working process, and greatly simplifies the design of the whole system. In this design, the encoding of PPM will use Gray code mapping to reduce the bit error rate. Finally, the system achieves a faster communication rate, and the BER of the actual test is low.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132191856","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}
Huiji Zheng, Sicong Yu, Xinyuan Qiu, Xiaolong Cui, Li Zhu
Age of Information(AoI) is a novel metric to measure freshness of data in status update scenarios proposed by academia in recent years. Real-time applications need to transmit data packets for status update to the target node as soon as possible. However, due to the data density, the limited computing capacity of edge devices and the influence of the environment, the problems of intensive computation and high delay are caused. Mobile edge computing (MEC) is a new computing mode that extends cloud computing power closer to the user, where computing offloading and other technologies promise to solve those problems. We mainly studies the AoI optimization in MEC networks, in which data freshness and offloading strategy play an important role. Firstly, we propose the average AoI minimization problem for MEC network scenarios, and propose a multi-agent deep reinforcement learning(DRL) algorithm called Federated Multi-Agent Actor-Critic (Fed-MAAC). Federated learning is used to train agents to improve algorithm performance and data security. At the same time, we conducted experiments in gym, a popular simulation environment in reinforcement learning, and compared Fed-MAAC with baseline algorithm. The simulation results show that this algorithm is superior to other algorithms in average AoI optimization performance.
信息时代(Age of Information, AoI)是近年来学术界提出的一种衡量状态更新场景中数据新鲜度的新指标。实时应用需要将状态更新的数据包尽快发送到目标节点。然而，由于数据密度大、边缘设备计算能力有限以及环境的影响，导致了计算量大、时延高的问题。移动边缘计算(MEC)是一种新的计算模式，它将云计算能力扩展到更接近用户的地方，其中计算卸载和其他技术有望解决这些问题。本文主要研究MEC网络中的AoI优化问题，其中数据新鲜度和卸载策略在AoI优化中起着重要作用。首先，我们提出了MEC网络场景下的平均AoI最小化问题，并提出了一种多智能体深度强化学习(DRL)算法，称为联邦多智能体Actor-Critic (Fed-MAAC)。联邦学习用于训练代理，以提高算法性能和数据安全性。同时，我们在强化学习中流行的模拟环境gym中进行实验，并将Fed-MAAC与基线算法进行比较。仿真结果表明，该算法在平均AoI优化性能上优于其他算法。
{"title":"Average age of information optimization in Mobile Edge Computing Networks","authors":"Huiji Zheng, Sicong Yu, Xinyuan Qiu, Xiaolong Cui, Li Zhu","doi":"10.1117/12.2639193","DOIUrl":"https://doi.org/10.1117/12.2639193","url":null,"abstract":"Age of Information(AoI) is a novel metric to measure freshness of data in status update scenarios proposed by academia in recent years. Real-time applications need to transmit data packets for status update to the target node as soon as possible. However, due to the data density, the limited computing capacity of edge devices and the influence of the environment, the problems of intensive computation and high delay are caused. Mobile edge computing (MEC) is a new computing mode that extends cloud computing power closer to the user, where computing offloading and other technologies promise to solve those problems. We mainly studies the AoI optimization in MEC networks, in which data freshness and offloading strategy play an important role. Firstly, we propose the average AoI minimization problem for MEC network scenarios, and propose a multi-agent deep reinforcement learning(DRL) algorithm called Federated Multi-Agent Actor-Critic (Fed-MAAC). Federated learning is used to train agents to improve algorithm performance and data security. At the same time, we conducted experiments in gym, a popular simulation environment in reinforcement learning, and compared Fed-MAAC with baseline algorithm. The simulation results show that this algorithm is superior to other algorithms in average AoI optimization performance.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"383 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133385653","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}
In recent years, how to identify the most influential nodes has become the forefront of network science. Considering the influence of community structure and neighbor nodes within the second order on node influence diffusion, this paper proposes an influence maximization algorithm based on community structure (IMCS). Firstly, the CPM algorithm is used to detect the community of the network to obtain the community structure of network. Then, select the nodes belonging to multiple communities in the community and some potential nodes in each community to form a candidate node set. Finally, use the improved Prob-Degree algorithm to screen all seed nodes. Experimental data show that compared with Prob-degree, CoFIM and DD, the algorithm proposed in this paper has relatively good overall performance in Oregon network, and there are seed node intervals with relatively good performance in other networks too.
{"title":"Influence maximization algorithm based on community structure","authors":"Wei Liu, Canbang Zhang, Meng-ran He","doi":"10.1117/12.2639185","DOIUrl":"https://doi.org/10.1117/12.2639185","url":null,"abstract":"In recent years, how to identify the most influential nodes has become the forefront of network science. Considering the influence of community structure and neighbor nodes within the second order on node influence diffusion, this paper proposes an influence maximization algorithm based on community structure (IMCS). Firstly, the CPM algorithm is used to detect the community of the network to obtain the community structure of network. Then, select the nodes belonging to multiple communities in the community and some potential nodes in each community to form a candidate node set. Finally, use the improved Prob-Degree algorithm to screen all seed nodes. Experimental data show that compared with Prob-degree, CoFIM and DD, the algorithm proposed in this paper has relatively good overall performance in Oregon network, and there are seed node intervals with relatively good performance in other networks too.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115233199","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}
The demand of aeroengine for non-contact telemetry information transmission is very urgent. Based on the analysis of the characteristics of aeroengine telemetry information transmission system, the rotor disk and stator disk suitable for nearfield communication under high centrifugal load are designed in this paper. In order to ensure the stable transmission of telemetry information under large angular displacement between rotor disk and stator disk, a loop-shaped antenna with centrosymmetric characteristics is designed and installed on stator for receiving telemetry information. The designed circular antenna is fabricated and measured. The measurement results show that the circular receiving antenna has good reflection coefficient in the range of 1-4GHz, and its performance can fully meet the needs of aeroengine telemetry information transmission.
{"title":"Design of receiving antenna for aero-engine telemetry information transmission system","authors":"Ze Li, Yunfang Ouyang, Zhou Huang, Quanxin Zhang","doi":"10.1117/12.2639365","DOIUrl":"https://doi.org/10.1117/12.2639365","url":null,"abstract":"The demand of aeroengine for non-contact telemetry information transmission is very urgent. Based on the analysis of the characteristics of aeroengine telemetry information transmission system, the rotor disk and stator disk suitable for nearfield communication under high centrifugal load are designed in this paper. In order to ensure the stable transmission of telemetry information under large angular displacement between rotor disk and stator disk, a loop-shaped antenna with centrosymmetric characteristics is designed and installed on stator for receiving telemetry information. The designed circular antenna is fabricated and measured. The measurement results show that the circular receiving antenna has good reflection coefficient in the range of 1-4GHz, and its performance can fully meet the needs of aeroengine telemetry information transmission.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126848218","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}
In recent years, with the rapid development of science and technology, the progress of fiber optic sensing technology is also relatively significant. In this paper, we design a circuit that can be used to amplify and detect weak signal photoelectric detection and processing by amplifying the differential input and zeroing the output, expanding the adjustable secondary, and doing a good job of power conversion, low-pass filtering and data acquisition, and then use the relevant software to carry out simulation experiments, showing that the designed circuit can effectively detect the nW-level optical signal The circuit is widely used because of its good overall linearity and anti-interference capability.
{"title":"Analysis of detection of weak signals in distributed fiber grating sensing systems","authors":"Ruili Chang","doi":"10.1117/12.2639133","DOIUrl":"https://doi.org/10.1117/12.2639133","url":null,"abstract":"In recent years, with the rapid development of science and technology, the progress of fiber optic sensing technology is also relatively significant. In this paper, we design a circuit that can be used to amplify and detect weak signal photoelectric detection and processing by amplifying the differential input and zeroing the output, expanding the adjustable secondary, and doing a good job of power conversion, low-pass filtering and data acquisition, and then use the relevant software to carry out simulation experiments, showing that the designed circuit can effectively detect the nW-level optical signal The circuit is widely used because of its good overall linearity and anti-interference capability.","PeriodicalId":336892,"journal":{"name":"Neural Networks, Information and Communication Engineering","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124111194","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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