2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)最新文献

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Effects of Sensing & Control Errors on Quality of Adaptation in Networked Systems 传感和控制误差对网络系统自适应质量的影响
2020 International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2020-01-01 DOI: 10.1109/COMSNETS48256.2020.9027396
K. Ravindran, Arun Adiththan
{"title":"Effects of Sensing & Control Errors on Quality of Adaptation in Networked Systems","authors":"K. Ravindran, Arun Adiththan","doi":"10.1109/COMSNETS48256.2020.9027396","DOIUrl":"https://doi.org/10.1109/COMSNETS48256.2020.9027396","url":null,"abstract":"The adaptation logic of a networked system “S” is anchored on two functional elements: I) Sensing of observable system state and outputs by direct measurements; ii) Inference of hard-to-observe system state and environment parameters using model-based estimates. These observed system data is then used in a model-aided computation of the control actions to steer the output of “S” towards a desired operating level. Observational errors in the measurement and estimation processes (i) and (ii) impact the quality of adaptation attained by “S”. In a rate-adaptive video transport system (BAVT) for e.g., bandwidth estimation errors lead to incorrect allocation of video send rates to the sources, which can affect the rate stability & convergence during congestion recovery. Given that sensing & control errors arise due to imprecise and/or incomplete knowledge about the state and environment of “S”, a model-based treatment of the errors allows assessing their impact on the system behavior. We describe a software cybernetics framework to deal with the sensing & control errors during system operations (with a case-study of BAVT).","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125311768","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}
引用次数: 0
Experimental Test-Bed Implementation of Hybrid Opportunistic Routing Design for Low Power, Lossy Wireless Sensor Network 低功耗、有损无线传感器网络混合机会路由设计的实验试验台实现
2020 International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2020-01-01 DOI: 10.1109/COMSNETS48256.2020.9027351
J. Thyagarajan, K. Suganthi
{"title":"Experimental Test-Bed Implementation of Hybrid Opportunistic Routing Design for Low Power, Lossy Wireless Sensor Network","authors":"J. Thyagarajan, K. Suganthi","doi":"10.1109/COMSNETS48256.2020.9027351","DOIUrl":"https://doi.org/10.1109/COMSNETS48256.2020.9027351","url":null,"abstract":"The past decade has witnessed numerous Routing design proposals for wireless multi-hop network specifically for Wireless Sensor Network (WSN) and recently its allied Low Power, Lossy Networks (LLN) in the era of Internet of Things (IoT). However, experimentation using sensor motes in real test-bed is limited as majority cater to simulation analysis. This work proposes and implements a Hybrid Opportunistic Routing (OR) design for Low Power, Lossy WSN. The routing protocol adopts opportunistic mode of forwarding as the first and last resort to improve end-to-end packet delivery ratio. The protocol switches to unicast mode for successive transmissions by relying on trust-worthy forwarder(s) until link-level transmission error occurs. The OR phases such as candidate selection, prioritization and coordination are carried out on the fly in a completely distributed online manner by eligible forwarders. These forwarder(s) computes its priority order based on cross-layered routing metrics in a fuzzy manner and collaborate via timer coordination with differentiated Back-off Exponent (BE) parameters assignment for packet forwarding. The real test-bed experimentation using IEEE 802.15.4 compliant SENSEnuts platform recorded the lossy-link characteristics during range test measurements. The proposed hybrid OR showed improvement in end-to-end delivery rate with increase in hops and number of forwarding candidates per level compared to level based unicast routing.","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"79 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124735353","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}
引用次数: 0
Machine Learning & Concept Drift based Approach for Malicious Website Detection 基于机器学习和概念漂移的恶意网站检测方法
2020 International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2020-01-01 DOI: 10.1109/COMSNETS48256.2020.9027485
Siddharth Singhal, Utkarsh Chawla, R. Shorey
{"title":"Machine Learning & Concept Drift based Approach for Malicious Website Detection","authors":"Siddharth Singhal, Utkarsh Chawla, R. Shorey","doi":"10.1109/COMSNETS48256.2020.9027485","DOIUrl":"https://doi.org/10.1109/COMSNETS48256.2020.9027485","url":null,"abstract":"The rampant increase in the number of available cyber attack vectors and the frequency of cyber attacks necessitates the implementation of robust cybersecurity systems. Malicious websites are a significant threat to cybersecurity. Miscreants and hackers use malicious websites for illegal activities such as disrupting the functioning of the systems by implanting malware, gaining unauthorized access to systems, or illegally collecting personal information. We propose and implement an approach for classifying malicious and benign websites given their Uniform Resource Locator (URL) as input. Using the URL provided by the user, we collect Lexical, Host-Based, and Content-Based features for the website. These features are fed into a supervised Machine Learning algorithm as input that classifies the URL as malicious or benign. The models are trained on a dataset consisting of multiple malicious and benign URLs. We have evaluated the accuracy of classification for Random forests, Gradient Boosted Decision Trees and Deep Neural Network classifiers. One loophole in the use of Machine learning for detection is the availability of the same training data to the attackers. This data is exploited by the miscreants to alter the features associated with the Malicious URLs, which will be classified as benign by the supervised learning algorithms. Further, owing to the dynamic nature of the malicious websites, we also propose a paradigm for detecting and countering these manually induced concept drifts.","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126015988","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}
引用次数: 16
Findings from an experimental study of student behavioral patterns using smartphone sensors 这是一项利用智能手机传感器对学生行为模式进行实验研究的结果
2020 International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2020-01-01 DOI: 10.1109/COMSNETS48256.2020.9027496
Dimple Shah, A. Upasini, Kalyan Sasidhar
{"title":"Findings from an experimental study of student behavioral patterns using smartphone sensors","authors":"Dimple Shah, A. Upasini, Kalyan Sasidhar","doi":"10.1109/COMSNETS48256.2020.9027496","DOIUrl":"https://doi.org/10.1109/COMSNETS48256.2020.9027496","url":null,"abstract":"Smartphones have become an integral part of our lives. People of various age groups use these devices in different ways for different purposes. Early studies to understand smart-phone usage patterns were conducted through traditional methods such as manual logging, personal interviews or questionnaire. Particularly for the Indian context, there is very little literature on such studies and those that have attempted have been through traditional methods. With the emergence of mobile sensing which involves using the embedded sensors in mobile/smartphones, automatic, continuous and passive sensing has become a very easy and unobtrusive form of data collection. Therefore, in this work, we report findings of our experimental study on mobile phone use and other behavior, particularly by the student community at our institute. We analyze continuous sensing data collected from smartphones of 47 students over 45 days and infer their usage styles comprising of the total duration of mobile phone use per day, the most commonly used applications and the duration of their usage. As a goal for motivating social well-being, we also deduce the student physical activity levels, social interaction levels, and sleep duration using the built-in sensors. We believe our findings contribute to providing a broader understanding of technology use among students.","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124845035","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}
引用次数: 2
Anticipatory QoE Mechanisms for 5G Data Analytics 5G数据分析的预期QoE机制
2020 International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2020-01-01 DOI: 10.1109/COMSNETS48256.2020.9027358
R. Vidhya, P. Karthik, S. Jamadagni
{"title":"Anticipatory QoE Mechanisms for 5G Data Analytics","authors":"R. Vidhya, P. Karthik, S. Jamadagni","doi":"10.1109/COMSNETS48256.2020.9027358","DOIUrl":"https://doi.org/10.1109/COMSNETS48256.2020.9027358","url":null,"abstract":"3GPP which is working on the 5G specification is also working on the NWDAF (Network Data Analytics Function) which is used for data collection and data analytics in a centralized manner in the 5G Core. The 5G Network elements and/or the OAM (Operations and Network Management) can decide how to use the data analytics provided by NWDAF to improve the overall system performance. The way NWDAF is used is left to the imagination of the operators, but some of the use cases belong to one or several domains, e.g. QoS, traffic steering, network dimensioning. In this paper, we show how to use the NWDAF to address QoE issues. QoS is evaluated by monitoring KPIs, but this alone is insufficient for addressing QoE *issues as KPIs does not necessarily address QoE. We show that the anticipatory AI functionality will help address QoE in a mobile video streaming use case.","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"52 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130450978","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}
引用次数: 4
Non-invasive modeling of heart rate and blood pressure from a photoplethysmography by using machine learning techniques
2020 International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2020-01-01 DOI: 10.1109/COMSNETS48256.2020.9027457
Govinda Rao Nidigattu, Govardhan Mattela, Sayan Jana
{"title":"Non-invasive modeling of heart rate and blood pressure from a photoplethysmography by using machine learning techniques","authors":"Govinda Rao Nidigattu, Govardhan Mattela, Sayan Jana","doi":"10.1109/COMSNETS48256.2020.9027457","DOIUrl":"https://doi.org/10.1109/COMSNETS48256.2020.9027457","url":null,"abstract":"Cardiovascular diseases(CVD) is one of the major causes of deaths in the world, which may damage the endothelium cells which may lead to atherosclerosis and cardiac arrhythmias. Blood pressure is an important parameter and indicator in cardiovascular disease, patients with CVD who have multiple risk factors such as hypertension, stress, and obesity have been increasing. Therefore, it is important in the field of cardiovascular disease prevention to predict those at risk of cardiovascular diseases in the general population. Electrocardiogram is not suitable for wearable devices and PPG is a non-invasive, inexpensive, and convenient diagnostic tool for monitoring of heart and blood pressure. Here, we present a PPG (photoplethysmography) based non-invasive detection of heart rate and blood pressure, containing 1260 segments from 140 subjects an age range of 20 – 50 years. Data acquisition was carried out using the standard operating procedures. The present study investigates the photoplethysmography signal filtering of various noise removal, extraction of PPG morphological features and its derivatives which contain a blood circulatory system information, and finally derived forty five diagnostic engineered features. A novel signal processing technique was applied to extract salient pulse wave for heart rate and blood pressure detection. The subset of optimal features was extracted using feature extraction methods in relation to the physiology of heart rate and blood pressure processes. Prediction of heart rate, systolic blood pressure and diastolic blood pressure with the root mean squared error (RMSE) of 4.3 beats per minute, 5.7 mmHg and 5.5 mmHg between Sphygmomanometer and PPG from 10-fold cross-validation method.","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130602633","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}
引用次数: 9
A Decoupling Property in Low-Resolution MIMO-OFDM Systems and its Applications 低分辨率MIMO-OFDM系统的解耦特性及其应用
2020 International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2020-01-01 DOI: 10.1109/COMSNETS48256.2020.9027341
N. Prasad, Xiao-Feng Qi
{"title":"A Decoupling Property in Low-Resolution MIMO-OFDM Systems and its Applications","authors":"N. Prasad, Xiao-Feng Qi","doi":"10.1109/COMSNETS48256.2020.9027341","DOIUrl":"https://doi.org/10.1109/COMSNETS48256.2020.9027341","url":null,"abstract":"We consider a multi-user multi-antenna system in which a base-station (BS) equipped with numerous antennas communicates simultaneously with multiple users over a frequency selective wideband channel using orthogonal frequency division multiplexing (OFDM). The BS employs low resolution Analog-to-Digital-Converters (ADCs) in the Uplink and low resolution Digital-to-Analog-Converters (DACs) in the downlink. Given infinite resolution (ideal) quantization it is well known that OFDM enables transforming the time-domain channel afflicted by inter-symbol interference into a bank of parallel channels in the frequency domain, such that the noise across those channels is uncorrelated. We refer to the latter property as the decoupling property. We show that under a mild assumption, this decoupling property can also hold for arbitrary quantization resolution and for both uplink and downlink. Our result implies that the optimal linear minimum mean squared error (MMSE) equalizer for a system employing coarse quantization with $N$ subcarriers can be obtained with an $O(N)$ complexity instead of the hitherto assumed $O(N^{3})$ prohibitive complexity. We also show that this complexity can be further reduced via interpolation schemes devised using theory of Laurent polynomial matrices.","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124679264","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}
引用次数: 1
Predicting Human Response in Feature Binding Experiment Using EEG Data 利用脑电数据预测特征绑定实验中的人类反应
2020 International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2020-01-01 DOI: 10.1109/COMSNETS48256.2020.9027381
Syesha Girdher, Anubha Gupta, Snehlata Jaswal, Vinayak S. Naik
{"title":"Predicting Human Response in Feature Binding Experiment Using EEG Data","authors":"Syesha Girdher, Anubha Gupta, Snehlata Jaswal, Vinayak S. Naik","doi":"10.1109/COMSNETS48256.2020.9027381","DOIUrl":"https://doi.org/10.1109/COMSNETS48256.2020.9027381","url":null,"abstract":"The ability to predict future human responses via analysis of electroencephalogram (EEG) signals is an active area of research from the viewpoint of understanding human brain and behavior, brain computer interface (BCI) applications, and neuro-rehabilitation of patients suffering with neurological symptoms and disorders. In this work, we predict human responses via analysis of EEG signals of healthy young adults collected during an experiment of visual feature binding. The subjects were asked to detect changes in color-shape binding of four objects shown in two successive screens with a gap of 1500 ms. The behavioral experiment comprised 96 trials as EEG data was collected simultaneously from a 21-electrode machine. The EEG data was pre-processed and artifacts were removed using independent component analysis (ICA). Feature reduction was carried out using principal component analysis (PCA) and linear discriminant analysis (LDA). A number of machine learning classifiers were trained on the EEG data of 15 subjects to predict the response of the subject in the color-shape binding experiment. Results are promising and show that EEG signal analysis can help in building relevant tools for the neuro-rehabilitation of subjects suffering with impairments in visual feature binding or tools for BCI applications.","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134213727","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}
引用次数: 3
An Intelligent Triphase Rule-Based Wheel Slip Controller with Slip Estimation for Heavy Vehicles 基于规则的重型车辆轮滑估计智能三相控制器
2020 International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2020-01-01 DOI: 10.1109/COMSNETS48256.2020.9027428
Karthik Ramakrushnan, Akhil Challa, Harshal Patil, S. Subramanian, Gunasekaran Vivekanandan, S. Sivaram
{"title":"An Intelligent Triphase Rule-Based Wheel Slip Controller with Slip Estimation for Heavy Vehicles","authors":"Karthik Ramakrushnan, Akhil Challa, Harshal Patil, S. Subramanian, Gunasekaran Vivekanandan, S. Sivaram","doi":"10.1109/COMSNETS48256.2020.9027428","DOIUrl":"https://doi.org/10.1109/COMSNETS48256.2020.9027428","url":null,"abstract":"Wheel slip regulation (WSR) is an approach to achieve anti-lock braking, where the parameter, wheel slip ratio, is made to operate around a reference value. WSR algorithms can be rule-based or model-based. Model-based solutions require real-time information on vehicle parameters including tire model parameters that increases the challenge in their real-world implementation. Hence, this work proposes a novel triphase rule-based WSR algorithm for Heavy Commercial Road Vehicles, that employ an electro-pneumatic brake system. Since the direct measurement of wheel slip is not feasible, estimates from an Extended Kalman Filter are used to monitor and regulate slip. A real-time reference adaptation scheme is proposed to detect low friction road surfaces. The proposed algorithm is evaluated in a Hardware-in-Loop experimental setup, and shown to adapt to the road surface, prevent wheel lock, and reduce braking distance up to 19 % compared to the case without control.","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133714414","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}
引用次数: 5
BER Analysis of Reconfigurable Intelligent Surface Assisted Downlink Power Domain NOMA System 可重构智能表面辅助下行功率域NOMA系统的误码率分析
2020 International Conference on COMmunication Systems & NETworkS (COMSNETS) Pub Date : 2020-01-01 DOI: 10.1109/COMSNETS48256.2020.9027303
Vetrivel Chelian Thirumavalavan, T. S. Jayaraman
{"title":"BER Analysis of Reconfigurable Intelligent Surface Assisted Downlink Power Domain NOMA System","authors":"Vetrivel Chelian Thirumavalavan, T. S. Jayaraman","doi":"10.1109/COMSNETS48256.2020.9027303","DOIUrl":"https://doi.org/10.1109/COMSNETS48256.2020.9027303","url":null,"abstract":"The use of software controlled passive Reconfigurable Intelligent Surface (RIS) in wireless communications has attracted many researchers in recent years. RIS has a certain degree of control over the scattering and reflection characteristics of the electromagnetic waves, compared to the conventional communications in which the received signal is degraded due to the uncontrollable scattering of the transmitted signal and its interaction with the objects in propagating medium. Further, in RIS assisted communications, the phases of the multiple incoming signals can be controlled to enable constructive addition of multiple signals from different channel paths to improve Signal to Noise Ratio (SNR). On the other hand, Non-Orthogonal Multiple Access (NOMA) provides massive connectivity and low latency. The power domain variant NOMA uses superposition coded symbols with different powers for different user symbols. In this paper, a novel RIS assisted downlink NOMA system is proposed by combining the merits of both RIS and NOMA to improve the reliability of the system. Analytical expressions are derived for the Bit Error Rate (BER) performance of the proposed RIS assisted power domain NOMA system. The BER performance of the proposed system is analyzed using the numerical simulation results. It is observed that the proposed system has better performance than the conventional NOMA system.","PeriodicalId":265871,"journal":{"name":"2020 International Conference on COMmunication Systems & NETworkS (COMSNETS)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131982945","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}
引用次数: 66
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