2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)最新文献_第2页

Data-Acquiring Mooring Buoys Using Sensor Network with Sleep Mode Power Management System 基于传感器网络的系泊浮标数据采集与睡眠模式电源管理系统

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688560

Jessica Velasco, N. Arago, M. V. Padilla, Glenn C. Virrey, Jomar M. Calacag, Eunice Mae A. Camagong, Ericka E. Contreras, Krizza Mae V. Magpile, Jennard Whesley T. Quilatan, L. K. Tolentino

{"title":"Data-Acquiring Mooring Buoys Using Sensor Network with Sleep Mode Power Management System","authors":"Jessica Velasco, N. Arago, M. V. Padilla, Glenn C. Virrey, Jomar M. Calacag, Eunice Mae A. Camagong, Ericka E. Contreras, Krizza Mae V. Magpile, Jennard Whesley T. Quilatan, L. K. Tolentino","doi":"10.1109/ICMNWC52512.2021.9688560","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688560","url":null,"abstract":"This study presents the use of a wireless data acquisition system and the power management system for the development of mooring buoys. The Data Acquisition System is a system for controlling more than one group of sensors and reporting the findings of each sensor through microcontroller. The Power Management System oversees controlling the electrical system of the buoy. The main task is to ensure the electrical system of the buoy is safe and efficient. The proposed study consists of seven sensors gathering different parameters namely: air temperature, air pressure, relative humidity, wind speed, rainfall, solar radiation, water temperature, and salinity profile. For more precise data, three (3) moored buoys are stationed one kilometer from the shore and apart each other to collect information from different areas of the deployment area. It gathers climate characteristics of different areas, which records data accurately. The construction of the device consists of a tower, a polystyrene, and a rope. Its tower has beacon light that serves as an indicator and solar panels as the primary energy source of the buoy. The buoy carries approximately 15 to 20 kilograms of load, and it sustain three (3) solar panels and a 12-V battery. This device has a long battery life and uses idle mode between continuous samples to conserve power. Sleep mode is activated if the information gathered following 15 minutes of samples are consistent, and the power starts again after an additional 15 minutes. The buoys for weather monitoring were deployed under the CGSS-CCP of the Philippine Coast Guard. The results are transmitted to the base station and analyzed by the forecasting system.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132937956","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

A Metamaterial Inspired Frequency Reconfigurable Koch Snowflake Fractal Antenna for Wi-Fi/Wi-MAX/WLAN/C/X band Communications 用于Wi-Fi/Wi-MAX/WLAN/C/X波段通信的超材料启发频率可重构科赫雪花分形天线

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688474

Ramalakshmi Gudla, P. Mallikarjuna Rao

引用次数: 0

Sentimental Analysis Based on Cold-Start Recommendation with Deep Neural Learning (SACNN): A Novel Approach for Travel Recommendation in Pandemic 基于情感分析的冷启动推荐和深度神经学习(SACNN):一种新的流行病旅行推荐方法

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688450

Jasmine Samraj, N. Menaka

{"title":"Sentimental Analysis Based on Cold-Start Recommendation with Deep Neural Learning (SACNN): A Novel Approach for Travel Recommendation in Pandemic","authors":"Jasmine Samraj, N. Menaka","doi":"10.1109/ICMNWC52512.2021.9688450","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688450","url":null,"abstract":"Travelling is always being a usual thing where people travel for particular reasons such as business meetings, vacation, medical emergencies, and get-together parties, etc. But travelling in the covid-19 situation has been a concern, where there are lots of restrictions are allotted in various cities to control the pandemic situation. To control the pandemic among the user during travelling and to obtain easy information access ‘travel recommendation correlated with social media is used. In the proposed system the system analyzes the user’s social media accounts to gather information and updates the travel history. Hereby, when a new user surfs for any travel updates the server undergoes a validation process and suggests accordingly. For recommendation purposes, the proposed system introduces a new novel mechanism named ‘Sentimental Analysis Based Cold-start recommendation with Deep Neural Learning (SACNN)’. In this method, all the recent travel and covid-19 related details are stored and saved for user check. Further, the system for security enables a fake identification classifier to detect fake information in social media. The proposed theory will provide better accuracy rate than the existing other performances.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"36 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117019802","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

Exploring Ecosystem of Free Illegal Live Streaming Services and Its Price on Legitimate Services 探索免费非法直播服务的生态系统及其在合法服务上的价格

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688551

Kiran Kumar Jakkur Patalappa, Supriya Maganahalli Chandramouli

{"title":"Exploring Ecosystem of Free Illegal Live Streaming Services and Its Price on Legitimate Services","authors":"Kiran Kumar Jakkur Patalappa, Supriya Maganahalli Chandramouli","doi":"10.1109/ICMNWC52512.2021.9688551","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688551","url":null,"abstract":"In recent years’ online content viewing has substantially increased and marked as entertainment lifeline. There is a tremendous increase in number of viewers watching online streaming services along with traditional linear TV broadcast (Satellite / Cable / Terrestrial) services. As there is a surge in viewership, this demand has invited many free illegal live streaming services to capitalize on original copyrighted content. Monetization through these free illegal live streaming services is made by coupling the content with unnecessary advertisements, malicious programs like user tracking etc. Illegal live streaming services increases during high value event like sports (cricket, soccer, tennis, etc.) where the demand for viewing will be high. This paper highlights on two categories, first, exploring the internals of the ecosystem that has been used for streaming live illegal services. This is visualized by referring to various illegal streaming websites particularly sports. Second, exploring and justifying evidence of user tracking elements via methods like fingerprinting, cookies, third party HTTP request embedded within illegal streaming websites. Further illegal live streaming and legitimate streaming services are compared to quantify the evidence on the depth of user tracking techniques adopted by illegal live streaming services. Aggregator websites that provide space to host illegal live streaming services fail to identify sites that targets on user tracking apart from content streaming. Despite recent advancements in browser extensions in detecting intrusions, malicious software and blocking unnecessary ad’s, users of illegal live streaming services are vulnerable to misleading ads, malicious scams followed by user tracking. This paper concludes with methods to gather, extract information from different illegal streaming websites, and visualize the presence of malicious programs in the context of tracking the user.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124689784","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

Retinal Blood Vessels Segmentation of Diabetic Retinopathy 糖尿病视网膜病变的视网膜血管分割

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688408

R. Alaguselvi, Kalpana Murugan

{"title":"Retinal Blood Vessels Segmentation of Diabetic Retinopathy","authors":"R. Alaguselvi, Kalpana Murugan","doi":"10.1109/ICMNWC52512.2021.9688408","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688408","url":null,"abstract":"Now a day Diabetic Retinopathy (DR) could be a common eye infection in diabetic patients. Because DR is a type of diabetes that can cause vision loss, it is critical to ensure early detection and legitimate treatment. The Location of these injuries plays a critical part in early determination of DR. This work proposes a differential evolution algorithm and robotized injury discovery conspire which comprises of the four primary Pre-processing, candidate injury detection, and post-processing are the steps involved in vessel extraction and optic plate expulsion. The optic circle and the blood vessels are smothered to encourage preparing. Curvelet change is utilized for dim injury improvement and Matched filter is utilized for shinning injury improvement. To determine the best values for the parameters and portion the candidate areas, an ANFIS method calculation is used. The diabetic retinopathy images were collected from DRIVE the ANFIS (Adaptive Neuro Fuzzy Interference system) strategy is analyzed utilizing the measurements of Precision. In comparison to the results of the Mixture model-based clustering, Logistic regression classifier algorithm, the proposed method for detection of retinal blood vessel segmentation had a recognition accuracy value of 98.5 percent. Using the ANFIS method, the Logistic regression classifier algorithm outperformed the Mixture model-based clustering in detecting diabetic retinopathy. Micro aneurysm detection, one of the first symptoms of Diabetic Retinopathy, can be predicted and compared in future work. This detection technique is useful for diabetic patients.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128285646","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

A Simple Approach for Scripting in Air and Display using Computer Vision 用计算机视觉编写空中脚本和显示的简单方法

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688554

Bhargav D V, Mayura Nandan M R, Kowshik Bharadwaj P V, R. P

{"title":"A Simple Approach for Scripting in Air and Display using Computer Vision","authors":"Bhargav D V, Mayura Nandan M R, Kowshik Bharadwaj P V, R. P","doi":"10.1109/ICMNWC52512.2021.9688554","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688554","url":null,"abstract":"Online teaching-learning platforms have become an integral part of life, during and post Covid-19 pandemic. In this regard, many teaching-learning accessories have been developed for use. AirPad, the work presented in this article is an application that helps draw one’s imagination on screen by just capturing the motion of object of interest with a camera in air. Computer vision is concerned with the extraction of meaningful information from image data. Continued explorations on computer vision are often concerned with the development of computer algorithms for specific applications. Computer vision is a field of artificial intelligence that works on enabling computers to see, identify and process images in the same way as human vision does, and then provide the appropriate output. Three important tasks involved during computer vision processing are: 1) Detection 2) Tracking 3) Recognition. Computer vision algorithms are utilized to perform the task. The preferred language used is Python due to its exhaustive libraries and easy to use syntax, but can be implemented in any OpenCV supported language. Present work uses PyQt5 which is a python interface for Qt library. It is one of the most used modules in building GUI apps in Python, and that’s due to its simplicity. Following features have been implemented in the present work: i. Functions to draw square, rectangle and circle. ii. Testing Tab to ensure proper traction of object of interest in each frame. iii. Export the work in multiple formats like images and pdf. The user requires a laptop with webcam and a virtual pen which could be a finger to use the application and enjoy its features.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129316863","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

Traffic Prediction System using IoT in Smart City Perspective 基于物联网的智慧城市交通预测系统

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688355

S. D L, Keshava Prasanna, Vishwas Desai, Sakshi Agarwal, V. M. M. Shetty, Rakesh A S

{"title":"Traffic Prediction System using IoT in Smart City Perspective","authors":"S. D L, Keshava Prasanna, Vishwas Desai, Sakshi Agarwal, V. M. M. Shetty, Rakesh A S","doi":"10.1109/ICMNWC52512.2021.9688355","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688355","url":null,"abstract":"The development of sensors and their integration with the environment enables us to build smarter applications that suit modern city needs. A Road network is the backbone of any country’s development structure. The free flow of traffic on the highways is vital for better mobility and transportation. These problems necessitate the development of smarter technologies focused on the Internet of Things, which recognize real-time data in the monitored area and analyze urban transportation flow in a smart city road. For a variety of road users, including commuters, private vehicle drivers, and the public transportation system, reliable traffic flow information is critical. This data would aid passengers in choosing the best mode of transportation, improving road flows, reducing noise, and reducing traffic congestion. The proposed system provides solutions to these problems partly. This system predicts the congestion in the road traffic and provides information ahead of time. The importance of traffic congestion prediction has grown in tandem with the rapid development of Smart Transportation Networks for convenient transportation. This paper illustrates a smart traffic management infrastructure based on Internet of Things (IoT), traffic is predicted using KNN algorithm and information is projected to smart devices through Android application. The outcome is smart predictive system with suggested alternates. The system can be further enhanced by installing display panels integrated with cloud computing at key places that shows alternate routes with time constraints. Also the performance and accuracy of application can be tested with different machine learning algorithms.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129584033","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

Low Cost and Portable Automatic Athlete’s Timing System 低成本便携式运动员自动计时系统

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688495

Nazia Abdul Majeed, Venkatesh C., Punith, Varun S. Shetty, Suraj

{"title":"Low Cost and Portable Automatic Athlete’s Timing System","authors":"Nazia Abdul Majeed, Venkatesh C., Punith, Varun S. Shetty, Suraj","doi":"10.1109/ICMNWC52512.2021.9688495","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688495","url":null,"abstract":"For an athlete practicing is a key thing that increases there performance. Assistance devices are very beneficial to maintain or improve the performance of the athlete. During track of training sessions, the coach might not track or guide each and every athlete. The coach may be unable to evaluate an athletes performance precisely is a primary problem. Secondarily imported devices, sensors are expensive; and all the training centers and educational institutions, possibly will not afford these devices. Available timing systems cost thousands of dollars due to the expenses on the sensors and components. Appointing a coach for every athlete is also not possible. The proposed system device indirectly solves the problem of disabled athletes. The developed system is a portable, smart, wireless assistance device that detects elapsed time of an athlete to start and stop line in a racing track arena automatically. When the athlete passes from the starting line and reaches the ending line; the timer system with the help of the sensors will display the elapsed time. This system design has a very easy installation process and is fully automatic; also manual interfacing with the system is not required.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116092298","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

HyLo: Implementation of LoRaWAN in an Automated Hydroponics System LoRaWAN在自动水培系统中的实现

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688540

Karlo S. Tolentino Lean, B. Rachelle, Marie V. Ebbay Nikka, G. M. Wendel, Q. S. A. Kim Rafael, M. T. Rem Raymond, Allen M. Madrigal Gilfred, L. J. Romeo, Quijano Jay Fel, G. P. Cherry, S. Jessica

{"title":"HyLo: Implementation of LoRaWAN in an Automated Hydroponics System","authors":"Karlo S. Tolentino Lean, B. Rachelle, Marie V. Ebbay Nikka, G. M. Wendel, Q. S. A. Kim Rafael, M. T. Rem Raymond, Allen M. Madrigal Gilfred, L. J. Romeo, Quijano Jay Fel, G. P. Cherry, S. Jessica","doi":"10.1109/ICMNWC52512.2021.9688540","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688540","url":null,"abstract":"Global warming is one of the characteristics of climate change; the impacts of global warming make it more difficult to plant in an uncontrolled environment. Traditional farming methods need producers to have high-quality soil and a lot of space and water. On the other hand, the yield does not correspond to or meet the demands of the consumers. As a result, it is important to employ a farming approach that has a reduced cost factor need and to preserve and manage critical factors such as light, water level temperature, and humidity. This article discusses HyLo, a smart vertical hydroponics farming system that eliminates the need for soil. Instead of underground soil, this approach cultivates crops by exposing their roots to a combination of solutions and water in the form of vertical nutrient film technique (NFT) pipes. Vertical farming is advantageous in terms of space and plant layout, and it is also successful when used in conjunction with hydroponics. The evolution of technology in terms of automation and data transmission resulted in the evolution of smart hydroponics, since detection, correction, and monitoring of key parameters are all present. Additionally, it was combined with the LoRaWAN technology, which enables long-range, low-power data transmission over a wide area network (WAN). The number of leaves and circumference of lettuce grown in the suggested hydroponics system were compared to those grown in the traditional system. The results indicated that the suggested hydroponics arrangement produced more lettuce leaves and a larger diameter than the traditional configuration.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123793227","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

Fusion of Brain MR Images for Tumor Analysis using Bi-Level Stationary Wavelet Transform 基于双水平平稳小波变换的脑磁共振图像融合肿瘤分析

2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC) Pub Date : 2021-12-03 DOI: 10.1109/ICMNWC52512.2021.9688369

Hareesh K N, M. N. Eshwarappa

{"title":"Fusion of Brain MR Images for Tumor Analysis using Bi-Level Stationary Wavelet Transform","authors":"Hareesh K N, M. N. Eshwarappa","doi":"10.1109/ICMNWC52512.2021.9688369","DOIUrl":"https://doi.org/10.1109/ICMNWC52512.2021.9688369","url":null,"abstract":"The objective of image fusion is to merge the information of two or more images to get a fused image having more distinct features for image analysis. It is very important to know the features of a brain tumor in the early stage before metastasis to save the life of a patient. Images captured at different time of same scene gives different information. Fusion of such images may be more informative for better analysis by human and even by artificial intelligent system. In recent studies the different image fusion methods have been developed both in spatial and transform domain. The fused image obtained by considering spatial domain method will have spatial distortions and due to which loss of information may happen. Such spatial distortions may be overcome by using wavelet transformation-based fusion. This paper is about the fusion of T1, T2 weighted and Flair brain magnetic resonance imaging (MRI) images using 2-level Stationary Wavelet Transformation (SWT). The image obtained after fusion is evaluated with the Entropy, Mutual Information and Fusion Symmetry and compared with the previous work done by another researcher. Experimental results show that the Entropy is improved which in turn have more information compared to the image having low entropy.","PeriodicalId":186283,"journal":{"name":"2021 IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114270235","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