Pub Date : 2022-05-15DOI: 10.1109/SIU55565.2022.9864979
Z. Çakir, Elif Tuğçe Ceran
In this paper, a federated learning setup in which multiple devices capable of harvesting energy from the environment train a machine learning model based on the intermittent availability of the energy and channel is studied. The main focus is on developing an algorithm that achieves the same convergence as state-of-the-art federated learning methods in a scenario with an error-prone channel and intermittent energy availability. We propose a federated learning algorithm that schedules distributed clients and weighting their local gradients according to the energy and channel profiles of each client. The performance of the proposed algorithm has been demonstrated with the experiments.
{"title":"Federated Learning with Channel and Energy Aware Scheduling","authors":"Z. Çakir, Elif Tuğçe Ceran","doi":"10.1109/SIU55565.2022.9864979","DOIUrl":"https://doi.org/10.1109/SIU55565.2022.9864979","url":null,"abstract":"In this paper, a federated learning setup in which multiple devices capable of harvesting energy from the environment train a machine learning model based on the intermittent availability of the energy and channel is studied. The main focus is on developing an algorithm that achieves the same convergence as state-of-the-art federated learning methods in a scenario with an error-prone channel and intermittent energy availability. We propose a federated learning algorithm that schedules distributed clients and weighting their local gradients according to the energy and channel profiles of each client. The performance of the proposed algorithm has been demonstrated with the experiments.","PeriodicalId":115446,"journal":{"name":"2022 30th Signal Processing and Communications Applications Conference (SIU)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123112910","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 : 2022-05-15DOI: 10.1109/SIU55565.2022.9864817
Özdenur Uçar, Yakup Genç
Handwritten character generation is a popular topic with a variety of applications. Many methods of character generation have been proposed in the literature, but few of these methods focus on preserving the writer’s style while producing handwritten characters. Representing handwriting styles involves the challenge of representing both the style of each character and the overall style of the writer. In this study, unlike the studies in the literature, it is tried to produce the characters of the person that we have not seen yet by extracting the handwriting style of the person with limited data. While producing handwritten characters, spline curves of the characters were used as input, as well as handwritten images. In the developed method, a multitasking learning network is proposed by using the Conditional Variable Autoencoder (CVAE) model, which is one of the deep learning methods. In the experiments carried out, three different models were compared and the performance of the Conditionally Variable Autoencoder (CVAE) network trained with spline curves gave better results compared to other models.
{"title":"Style-driven Handwritten Character Generation","authors":"Özdenur Uçar, Yakup Genç","doi":"10.1109/SIU55565.2022.9864817","DOIUrl":"https://doi.org/10.1109/SIU55565.2022.9864817","url":null,"abstract":"Handwritten character generation is a popular topic with a variety of applications. Many methods of character generation have been proposed in the literature, but few of these methods focus on preserving the writer’s style while producing handwritten characters. Representing handwriting styles involves the challenge of representing both the style of each character and the overall style of the writer. In this study, unlike the studies in the literature, it is tried to produce the characters of the person that we have not seen yet by extracting the handwriting style of the person with limited data. While producing handwritten characters, spline curves of the characters were used as input, as well as handwritten images. In the developed method, a multitasking learning network is proposed by using the Conditional Variable Autoencoder (CVAE) model, which is one of the deep learning methods. In the experiments carried out, three different models were compared and the performance of the Conditionally Variable Autoencoder (CVAE) network trained with spline curves gave better results compared to other models.","PeriodicalId":115446,"journal":{"name":"2022 30th Signal Processing and Communications Applications Conference (SIU)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124272584","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 : 2022-05-15DOI: 10.1109/SIU55565.2022.9864879
Sercan Külcü, Sedat Görmüs
The IETF 6TiSCH protocol aims to create reliable, stable, low-power and controllable latency IoT networks by allocating time slot and frequency channel resources between nodes in a planned manner. Smart and directional antennas increase the network performance due to their advantages such as transmitting over longer distances and being less subject to interference. Smart antennas can transmit/receive stronger in a certain direction, and ignore transmissions from undesired directions. However, due to the narrow coverage of the smart antenna, it is more difficult for nodes to synchronize with the network and recognize their neighbors compared to traditional omnidirectional antennas. In this study, a new message packet is defined for the 6TiSCH protocol and a mechanism is proposed for the nodes to recognize their neighbors before synchronization to the network. After running extensive tests, it is seen that the network synchronization time improved.
{"title":"Improving Synchronization Time in 6TiSCH Networks with Smart Antennas","authors":"Sercan Külcü, Sedat Görmüs","doi":"10.1109/SIU55565.2022.9864879","DOIUrl":"https://doi.org/10.1109/SIU55565.2022.9864879","url":null,"abstract":"The IETF 6TiSCH protocol aims to create reliable, stable, low-power and controllable latency IoT networks by allocating time slot and frequency channel resources between nodes in a planned manner. Smart and directional antennas increase the network performance due to their advantages such as transmitting over longer distances and being less subject to interference. Smart antennas can transmit/receive stronger in a certain direction, and ignore transmissions from undesired directions. However, due to the narrow coverage of the smart antenna, it is more difficult for nodes to synchronize with the network and recognize their neighbors compared to traditional omnidirectional antennas. In this study, a new message packet is defined for the 6TiSCH protocol and a mechanism is proposed for the nodes to recognize their neighbors before synchronization to the network. After running extensive tests, it is seen that the network synchronization time improved.","PeriodicalId":115446,"journal":{"name":"2022 30th Signal Processing and Communications Applications Conference (SIU)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116884613","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 : 2022-05-15DOI: 10.1109/SIU55565.2022.9864668
Sevgi Nur Bilgin Aktas, Pinar Uluer, Buket Coşkun, Elif Toprak, D. Erol, H. Kose-Bagci, T. Zorcec, B. Robins, A. Landowska
This paper proposes a physiological signal-based stress detection approach for children with autism spectrum disorder (ASD) to be used in social and assistive robot intervention. Electrodermal activity (EDA) and blood volume pulse (BVP) signals are collected with an E4 smart wristband from children with ASD in different countries. The peak count and signal amplitude features are derived from EDA signal and used in order to detect the stress of children based on the previously provided reference baselines. Furthermore, a comparison has been made with the stress values determined using low frequency (LF) and high frequency (HF) values extracted from BVP signal.
{"title":"Stress Detection of Children With ASD Using Physiological Signals","authors":"Sevgi Nur Bilgin Aktas, Pinar Uluer, Buket Coşkun, Elif Toprak, D. Erol, H. Kose-Bagci, T. Zorcec, B. Robins, A. Landowska","doi":"10.1109/SIU55565.2022.9864668","DOIUrl":"https://doi.org/10.1109/SIU55565.2022.9864668","url":null,"abstract":"This paper proposes a physiological signal-based stress detection approach for children with autism spectrum disorder (ASD) to be used in social and assistive robot intervention. Electrodermal activity (EDA) and blood volume pulse (BVP) signals are collected with an E4 smart wristband from children with ASD in different countries. The peak count and signal amplitude features are derived from EDA signal and used in order to detect the stress of children based on the previously provided reference baselines. Furthermore, a comparison has been made with the stress values determined using low frequency (LF) and high frequency (HF) values extracted from BVP signal.","PeriodicalId":115446,"journal":{"name":"2022 30th Signal Processing and Communications Applications Conference (SIU)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117220892","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 : 2022-05-15DOI: 10.1109/SIU55565.2022.9864988
Sefa Küçük, Bahri Abaci, Murat Dede, S. E. Yüksel, Mete Yilmaz
In this paper, we aim to detect and observe the mucilage formations in the Sea of Marmara by means of Sentinel-2A satellite data. For this purpose, we produce mucilage index maps by utilizing the relationship between the spectral bands of Sentinel-2A. Sentinel-2A has four 10m fine bands and six 20m coarse bands. To compute the mucilage index, the spectral bands must have the same spatial resolution. Although the Sentinel-2A does not have a panchromatic band, the spatial resolution of the 20m bands can be increased to 10m thanks to its four fine bands. Based on the results of this analysis, we utilize seven of the existing image fusion approaches to enhance the spatial resolution of 20m bands to 10m. We monitor changes in mucilage formations over time with the mucilage maps acquired by using fused images through the mucilage index.
{"title":"Analysis and Detection of Mucilage Bloom from Multispectral Satellite Images","authors":"Sefa Küçük, Bahri Abaci, Murat Dede, S. E. Yüksel, Mete Yilmaz","doi":"10.1109/SIU55565.2022.9864988","DOIUrl":"https://doi.org/10.1109/SIU55565.2022.9864988","url":null,"abstract":"In this paper, we aim to detect and observe the mucilage formations in the Sea of Marmara by means of Sentinel-2A satellite data. For this purpose, we produce mucilage index maps by utilizing the relationship between the spectral bands of Sentinel-2A. Sentinel-2A has four 10m fine bands and six 20m coarse bands. To compute the mucilage index, the spectral bands must have the same spatial resolution. Although the Sentinel-2A does not have a panchromatic band, the spatial resolution of the 20m bands can be increased to 10m thanks to its four fine bands. Based on the results of this analysis, we utilize seven of the existing image fusion approaches to enhance the spatial resolution of 20m bands to 10m. We monitor changes in mucilage formations over time with the mucilage maps acquired by using fused images through the mucilage index.","PeriodicalId":115446,"journal":{"name":"2022 30th Signal Processing and Communications Applications Conference (SIU)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121131142","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 : 2022-05-15DOI: 10.1109/SIU55565.2022.9864888
Ezgi Kupcuoglu Yasin, H. Ş. Bilge
Today, image quality has become an important factor in many areas. Especially in the field of medical imaging, high-resolution images are needed. In this study, EDSR (Enhanced Deep Residual Networks for Single Image Super-Resolution) and DCSCN (Fast and Accurate Image Super-Resolution by Deep Convolutional Neural Network with Skip Connection and Network in Network) methods were trained using the ultrasound dataset and the results were compared, considering the need for high resolution images in the medical field.
如今，图像质量已成为许多领域的重要因素。特别是在医学成像领域，需要高分辨率的图像。本研究针对医学领域对高分辨率图像的需求，利用超声数据集对EDSR (Enhanced Deep Residual Networks for Single Image superresolution)和DCSCN (Fast and Accurate Image superresolution by Deep Convolutional Neural Network with Skip Connection and Network In Network)方法进行训练，并对结果进行比较。
{"title":"Implementation of Single Image Super-Resolution Methods on Ultrasound Images","authors":"Ezgi Kupcuoglu Yasin, H. Ş. Bilge","doi":"10.1109/SIU55565.2022.9864888","DOIUrl":"https://doi.org/10.1109/SIU55565.2022.9864888","url":null,"abstract":"Today, image quality has become an important factor in many areas. Especially in the field of medical imaging, high-resolution images are needed. In this study, EDSR (Enhanced Deep Residual Networks for Single Image Super-Resolution) and DCSCN (Fast and Accurate Image Super-Resolution by Deep Convolutional Neural Network with Skip Connection and Network in Network) methods were trained using the ultrasound dataset and the results were compared, considering the need for high resolution images in the medical field.","PeriodicalId":115446,"journal":{"name":"2022 30th Signal Processing and Communications Applications Conference (SIU)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125858082","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 : 2022-05-15DOI: 10.1109/SIU55565.2022.9864693
M. Simsek, Tamer Ergun, Hüseyin Temuçin
Today, many internet-based applications, especially e-commerce and banking applications, require the transfer of personal data and sensitive data such as credit card information, and in this process, all operations are carried out over the Internet. Users frequently perform these transactions, which require high security, on web sites they access via web browsers. This makes the browser one of the most basic software on the Internet. The security of the communication between the user and the website is provided with SSL certificates, which is used for server authentication. Certificates issued by Certificate Authorities (CA) that have passed international audits must meet certain conditions. The criteria for the issuance of certificates are defined in the Baseline Requirements (BR) document published by the Certificate Authority/Browser (CA/B) Forum, which is accepted as the authority in the WEB Public Key Infrastructure (WEB PKI) ecosystem. Issuing the certificates in accordance with the defined criteria is not sufficient on its own to establish a secure SSL connection. In order to ensure a secure connection and confirm the identity of the website, the certificate validation task falls to the web browsers with which users interact the most. In this study, a comprehensive SSL certificate public key infrastructure (SSL Test Suite) was established to test the behavior of web browsers against certificates that do not comply with BR requirements. With the designed test suite, it is aimed to analyze the certificate validation behaviors of web browsers effectively.
{"title":"SSL Test Suite: SSL Certificate Test Public Key Infrastructure","authors":"M. Simsek, Tamer Ergun, Hüseyin Temuçin","doi":"10.1109/SIU55565.2022.9864693","DOIUrl":"https://doi.org/10.1109/SIU55565.2022.9864693","url":null,"abstract":"Today, many internet-based applications, especially e-commerce and banking applications, require the transfer of personal data and sensitive data such as credit card information, and in this process, all operations are carried out over the Internet. Users frequently perform these transactions, which require high security, on web sites they access via web browsers. This makes the browser one of the most basic software on the Internet. The security of the communication between the user and the website is provided with SSL certificates, which is used for server authentication. Certificates issued by Certificate Authorities (CA) that have passed international audits must meet certain conditions. The criteria for the issuance of certificates are defined in the Baseline Requirements (BR) document published by the Certificate Authority/Browser (CA/B) Forum, which is accepted as the authority in the WEB Public Key Infrastructure (WEB PKI) ecosystem. Issuing the certificates in accordance with the defined criteria is not sufficient on its own to establish a secure SSL connection. In order to ensure a secure connection and confirm the identity of the website, the certificate validation task falls to the web browsers with which users interact the most. In this study, a comprehensive SSL certificate public key infrastructure (SSL Test Suite) was established to test the behavior of web browsers against certificates that do not comply with BR requirements. With the designed test suite, it is aimed to analyze the certificate validation behaviors of web browsers effectively.","PeriodicalId":115446,"journal":{"name":"2022 30th Signal Processing and Communications Applications Conference (SIU)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126058076","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 : 2022-05-15DOI: 10.1109/SIU55565.2022.9864698
Armagan Demirkol, H. Akyürek, Özgür Özdemir
In this study, sound speed estimation method in layered medium has been developed to be used in photoacoustic tomography imaging applications. To this aim, a linear model has been developed using Snell’s law between the the sound speeds of the two-layered medium and the arrival times of the acoustic wave from source which is located in the bottom layer to the transducers. The least squares method was used to solve the linear system. The accuracy of the developed method was tested using the data obtained with the k-Wave software.
{"title":"Sound Speed Estimation Method for Photoacoustic Imaging Systems in Layered Medium","authors":"Armagan Demirkol, H. Akyürek, Özgür Özdemir","doi":"10.1109/SIU55565.2022.9864698","DOIUrl":"https://doi.org/10.1109/SIU55565.2022.9864698","url":null,"abstract":"In this study, sound speed estimation method in layered medium has been developed to be used in photoacoustic tomography imaging applications. To this aim, a linear model has been developed using Snell’s law between the the sound speeds of the two-layered medium and the arrival times of the acoustic wave from source which is located in the bottom layer to the transducers. The least squares method was used to solve the linear system. The accuracy of the developed method was tested using the data obtained with the k-Wave software.","PeriodicalId":115446,"journal":{"name":"2022 30th Signal Processing and Communications Applications Conference (SIU)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125368147","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 : 2022-05-15DOI: 10.1109/SIU55565.2022.9864940
Mustafa Kocakulak, Nurettin Acır
Hand-based biometric traits have been widely used in recognition systems. Dynamic region of interest extraction is an important preprocessing step for these systems to avoid recognition performance degradation. In this study, a dynamic region of interest extraction method that can be used for palm vein, palmprint, and dorsal hand vein has been proposed using Google’s MediaPipe Hands framework. Since 3 biometric traits focus on nearly the same region that contains biometric information on the images, this study aims to show that the proposed extraction method can be utilized for these traits on mobile biometric applications. This method has been implemented on IIT Delhi Touchless Palmprint Database and 93% accuracy was obtained. The average processing time per image for ROI extraction was recorded as 2.64 seconds. With this study, a paradigm for future studies on hand biometrics has been created and the required processing time for a dynamic extraction has been reduced considerably.
{"title":"Dynamic ROI Extraction for Palmprints using MediaPipe Hands","authors":"Mustafa Kocakulak, Nurettin Acır","doi":"10.1109/SIU55565.2022.9864940","DOIUrl":"https://doi.org/10.1109/SIU55565.2022.9864940","url":null,"abstract":"Hand-based biometric traits have been widely used in recognition systems. Dynamic region of interest extraction is an important preprocessing step for these systems to avoid recognition performance degradation. In this study, a dynamic region of interest extraction method that can be used for palm vein, palmprint, and dorsal hand vein has been proposed using Google’s MediaPipe Hands framework. Since 3 biometric traits focus on nearly the same region that contains biometric information on the images, this study aims to show that the proposed extraction method can be utilized for these traits on mobile biometric applications. This method has been implemented on IIT Delhi Touchless Palmprint Database and 93% accuracy was obtained. The average processing time per image for ROI extraction was recorded as 2.64 seconds. With this study, a paradigm for future studies on hand biometrics has been created and the required processing time for a dynamic extraction has been reduced considerably.","PeriodicalId":115446,"journal":{"name":"2022 30th Signal Processing and Communications Applications Conference (SIU)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122203723","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 : 2022-05-15DOI: 10.1109/SIU55565.2022.9864878
Ayse Irem Topcu, B. U. Töreyin
Optical Character Recognition (OCR) is the process of extracting the texts from the images by means of some special programs and transferring them to the computer environment. OCR quality directly affects the quality of most natural language processing processes. Many applications such as text classification, information extraction, text summarization with texts extracted from images are used in daily life. Therefore, detecting and correcting incorrectly translated texts after OCR is a topic that researchers are working on with many methods today. In this study, it is aimed to apply and observe the results on the dataset presented in the International Conference on Document Analysis and Recognition (ICDAR) 2019 OCR Post Error Detection and Correction competition, using the latest neural machine translation methods to find and correct post-OCR text errors.
{"title":"Neural Machine Translation Approaches for Post-OCR Text Processing","authors":"Ayse Irem Topcu, B. U. Töreyin","doi":"10.1109/SIU55565.2022.9864878","DOIUrl":"https://doi.org/10.1109/SIU55565.2022.9864878","url":null,"abstract":"Optical Character Recognition (OCR) is the process of extracting the texts from the images by means of some special programs and transferring them to the computer environment. OCR quality directly affects the quality of most natural language processing processes. Many applications such as text classification, information extraction, text summarization with texts extracted from images are used in daily life. Therefore, detecting and correcting incorrectly translated texts after OCR is a topic that researchers are working on with many methods today. In this study, it is aimed to apply and observe the results on the dataset presented in the International Conference on Document Analysis and Recognition (ICDAR) 2019 OCR Post Error Detection and Correction competition, using the latest neural machine translation methods to find and correct post-OCR text errors.","PeriodicalId":115446,"journal":{"name":"2022 30th Signal Processing and Communications Applications Conference (SIU)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117000667","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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