Pub Date : 2021-08-01DOI: 10.1109/ICCEAI52939.2021.00075
Guiyi Yang, Zhengyou Wang, Shanna Zhuang
Feature extraction in pedestrian detection is a challenging problem due to the different sizes of pedestrians and occlusion in pedestrians. Currently, Feature Pypyramid Networks(FPN) structure is usually used in pedestrian detection networks for feature extraction but aiming at the characteristics of pedestrian detection tasks it may not be effective in extracting important layer feature information. Therefore, this paper proposes a module based on PFN structure with parallel feature fusion named PFF-FPN. PFF-FPN uses three different FPNs to extract feature and fuses the corresponding layer feature to reinforce the focused layer feature information. In pedestrian detection task PFF-FPN can be adapted to different network frameworks and it also gets a good performance.
{"title":"PFF-FPN: A Parallel Feature Fusion Module Based on FPN in Pedestrian Detection","authors":"Guiyi Yang, Zhengyou Wang, Shanna Zhuang","doi":"10.1109/ICCEAI52939.2021.00075","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00075","url":null,"abstract":"Feature extraction in pedestrian detection is a challenging problem due to the different sizes of pedestrians and occlusion in pedestrians. Currently, Feature Pypyramid Networks(FPN) structure is usually used in pedestrian detection networks for feature extraction but aiming at the characteristics of pedestrian detection tasks it may not be effective in extracting important layer feature information. Therefore, this paper proposes a module based on PFN structure with parallel feature fusion named PFF-FPN. PFF-FPN uses three different FPNs to extract feature and fuses the corresponding layer feature to reinforce the focused layer feature information. In pedestrian detection task PFF-FPN can be adapted to different network frameworks and it also gets a good performance.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129497378","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}
Different micro-topography will have different effects on wind flow, which makes the characteristics of hilly terrain wind field and its structural wind-induced effect more complicated. This paper presented the characteristics of wind field near various special microtopography in an eastern coastal area with numerical simulation. It was demonstrated that Micro-topography has a great influence on wind field: there will be a phenomenon near the top of the mountain that wind speed increases locally and then flows back, which will be weakened by the shielding effect of the mountain in front; There will be obvious wind acceleration effect in the windward pass, on the contrary, there will be wind deceleration effect in the downwind pass; The variation law of wind speed and wind speed ratio along the slope track is similar to the Slope gradient, when the gradient changes, the wind speed will fluctuate.
{"title":"Numerical simulation of wind field characteristics under micro-terrain","authors":"Qihai Jin, Wenbo Bai, Weijia Wang, Yunyi Luo, Dongdong Yang, Fu-bin Chen","doi":"10.1109/ICCEAI52939.2021.00028","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00028","url":null,"abstract":"Different micro-topography will have different effects on wind flow, which makes the characteristics of hilly terrain wind field and its structural wind-induced effect more complicated. This paper presented the characteristics of wind field near various special microtopography in an eastern coastal area with numerical simulation. It was demonstrated that Micro-topography has a great influence on wind field: there will be a phenomenon near the top of the mountain that wind speed increases locally and then flows back, which will be weakened by the shielding effect of the mountain in front; There will be obvious wind acceleration effect in the windward pass, on the contrary, there will be wind deceleration effect in the downwind pass; The variation law of wind speed and wind speed ratio along the slope track is similar to the Slope gradient, when the gradient changes, the wind speed will fluctuate.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126588716","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 : 2021-08-01DOI: 10.1109/ICCEAI52939.2021.00090
Xinyu Qi, Zhijun Fang, Shuqun Yang, Heng Zhou
To solve the problem of poor robustness of multiview geometric visual odometry in a dynamic environment, we propose a visual odometry method base on deep learning that combines depth estimation and geometric pose determination. First, we remove the time-consuming dense optical flow prediction network in GeoNet. We propose a method for image reconstruction at one frame interval to solve large displacement between moving objects. Second, we propose a way to find the best pixel to solve the problem of pixel occlusion in the image. Third, to further solve the uneven illumination of the image and the degradation of image quality, we propose an adaptive histogram equalization based on limited contrast to enhance the image. A large number of experimental demonstrations have been carried out on the KITTI public dataset. The experimental results show that our network reduces the time cost and complexity on the general evaluation index. It has a significant improvement compared with GeoNet and has achieved more accurate in-depth and position prediction results.
{"title":"Visual Odometry integrated with Self-Supervised Monocular Depth Estimation","authors":"Xinyu Qi, Zhijun Fang, Shuqun Yang, Heng Zhou","doi":"10.1109/ICCEAI52939.2021.00090","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00090","url":null,"abstract":"To solve the problem of poor robustness of multiview geometric visual odometry in a dynamic environment, we propose a visual odometry method base on deep learning that combines depth estimation and geometric pose determination. First, we remove the time-consuming dense optical flow prediction network in GeoNet. We propose a method for image reconstruction at one frame interval to solve large displacement between moving objects. Second, we propose a way to find the best pixel to solve the problem of pixel occlusion in the image. Third, to further solve the uneven illumination of the image and the degradation of image quality, we propose an adaptive histogram equalization based on limited contrast to enhance the image. A large number of experimental demonstrations have been carried out on the KITTI public dataset. The experimental results show that our network reduces the time cost and complexity on the general evaluation index. It has a significant improvement compared with GeoNet and has achieved more accurate in-depth and position prediction results.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127424535","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 : 2021-08-01DOI: 10.1109/ICCEAI52939.2021.00047
Jiahua Wu, H. Lee
There are two stages in bottom-up human pose estimation method, joint detection and joint candidate grouping. Optimizing grouping algorithms can significantly improve the performance of pose estimation. In this paper, we introduce body center, a center point of person instance, and anchor point, a corresponding assistant position point, for the task of grouping. The anchor point is the center of joint and body center, which can help joint grouping to the corresponding person instance like an anchor. The body center and anchor point can be predicted simultaneously with the joint candidate by the same backbone. So, this new grouping method can fully exploit the features extracted by the step of joint detection. On the COCO keypoints dataset, the proposed method performs on par with the existing state-of-the-art bottom-up method in accuracy.
{"title":"A New Bottom-up Human Pose Estimation Method by Body Center and Anchor Points","authors":"Jiahua Wu, H. Lee","doi":"10.1109/ICCEAI52939.2021.00047","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00047","url":null,"abstract":"There are two stages in bottom-up human pose estimation method, joint detection and joint candidate grouping. Optimizing grouping algorithms can significantly improve the performance of pose estimation. In this paper, we introduce body center, a center point of person instance, and anchor point, a corresponding assistant position point, for the task of grouping. The anchor point is the center of joint and body center, which can help joint grouping to the corresponding person instance like an anchor. The body center and anchor point can be predicted simultaneously with the joint candidate by the same backbone. So, this new grouping method can fully exploit the features extracted by the step of joint detection. On the COCO keypoints dataset, the proposed method performs on par with the existing state-of-the-art bottom-up method in accuracy.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130344989","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}
To compare the feasibility of the distal radiopaque marker, the length of the distal radiopaque marker of the microcatheter, the shaping ability and stability of the head end of the microcatheter, and provide reference for its application in endovascular therapy of cerebrovascular diseases. Seven types of commonly used microcatheter heads were used for X-ray fluoroscopy on Siemens digital flat panel angiography machine, and the fluoroscopy of the distal radiopaque marker was observed. Six samples from each brand were selected to measure the distance between the head end of the microcatheter and the distal development ring, and the difference in length was compared. Six microcatheters of each brand were selected for steam fumigation and shaping according to the instructions. Thereafter, the endovascular treatment process of intracranial aneurysms was simulated to compare their shaping ability and stability after plasticity. After fluoroscopy on the digital flat panel angiography machine, the distal markers of Echelon-14 and Prowler-14 were highly recognizable by naked eyes. In the distance detection test between the head end of each microcatheter and the distal radiopaque marker, the distance between the head end of the Presgo-14 microcatheter and the distal radiopaque marker was the shortest (0.492 mm), while the Echelon-10 microcatheter was the longest (0.866 mm). In the endovascular treatment experiment of steam fumigation shaping simulated intracranial aneurysms, Headway-17 microcatheter had the best shaping ability and stability after shaping, and Presgo series microcatheter had similar shaping retention ability to Echelon series microcatheter. All types of microcatheters have their own characteristics. Extensive understanding of the characteristics of different brands of microcatheters will facilitate their better application in nerve endovascular treatment.
{"title":"Study on the Performance of Microcatheter Commonly Used in Nerve Endovascular Treatment","authors":"Wei Li, Zhe Qu, Suisui Zhang, Hongyi Yuan, Youxiang Li, Huijian Ge","doi":"10.1109/ICCEAI52939.2021.00106","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00106","url":null,"abstract":"To compare the feasibility of the distal radiopaque marker, the length of the distal radiopaque marker of the microcatheter, the shaping ability and stability of the head end of the microcatheter, and provide reference for its application in endovascular therapy of cerebrovascular diseases. Seven types of commonly used microcatheter heads were used for X-ray fluoroscopy on Siemens digital flat panel angiography machine, and the fluoroscopy of the distal radiopaque marker was observed. Six samples from each brand were selected to measure the distance between the head end of the microcatheter and the distal development ring, and the difference in length was compared. Six microcatheters of each brand were selected for steam fumigation and shaping according to the instructions. Thereafter, the endovascular treatment process of intracranial aneurysms was simulated to compare their shaping ability and stability after plasticity. After fluoroscopy on the digital flat panel angiography machine, the distal markers of Echelon-14 and Prowler-14 were highly recognizable by naked eyes. In the distance detection test between the head end of each microcatheter and the distal radiopaque marker, the distance between the head end of the Presgo-14 microcatheter and the distal radiopaque marker was the shortest (0.492 mm), while the Echelon-10 microcatheter was the longest (0.866 mm). In the endovascular treatment experiment of steam fumigation shaping simulated intracranial aneurysms, Headway-17 microcatheter had the best shaping ability and stability after shaping, and Presgo series microcatheter had similar shaping retention ability to Echelon series microcatheter. All types of microcatheters have their own characteristics. Extensive understanding of the characteristics of different brands of microcatheters will facilitate their better application in nerve endovascular treatment.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131837202","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 : 2021-08-01DOI: 10.1109/ICCEAI52939.2021.00069
B. Fan, Shiyou Zhang, Ye-hwa Chen, Yi Zhang, Zhangsheng Deng
This study aims to solve the problem of lateral motion control so that the fire robot accurately tracks the desired speed and desired path, so as to realize autonomous driving of the fire robot, reduce the casualties of firefighters in firefighting, and further improve the intelligence of firefighting. According to the use scenario of the fire robot, and comprehensive consideration of lightweight and energy saving, the mechanical structure of its chassis is designed, and the sliding mode variable structure and the radial basis function (RBF) neural network are combined to design the lateral motion controller on this basis. The control expression of the controller is derived. In order to verify the robustness of the controller, this study uses the ADAMS/Simulink co-simulation system, using different driving speeds to simulate and verify the controller under a typical route. The lateral controller studied in this paper plays an important role in the path tracking of fire robot.
{"title":"Lateral control design of intelligent chassis for fire robot","authors":"B. Fan, Shiyou Zhang, Ye-hwa Chen, Yi Zhang, Zhangsheng Deng","doi":"10.1109/ICCEAI52939.2021.00069","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00069","url":null,"abstract":"This study aims to solve the problem of lateral motion control so that the fire robot accurately tracks the desired speed and desired path, so as to realize autonomous driving of the fire robot, reduce the casualties of firefighters in firefighting, and further improve the intelligence of firefighting. According to the use scenario of the fire robot, and comprehensive consideration of lightweight and energy saving, the mechanical structure of its chassis is designed, and the sliding mode variable structure and the radial basis function (RBF) neural network are combined to design the lateral motion controller on this basis. The control expression of the controller is derived. In order to verify the robustness of the controller, this study uses the ADAMS/Simulink co-simulation system, using different driving speeds to simulate and verify the controller under a typical route. The lateral controller studied in this paper plays an important role in the path tracking of fire robot.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130483442","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 : 2021-08-01DOI: 10.1109/ICCEAI52939.2021.00061
Ming-xiong Guo, Zhengyou Wang, Shanna Zhuang
With the promotion of information technology, network security issues have received more and more attention. As the most unique and widely used biological feature, human face is the primary verification method that people choose. But it has also become the preferred target of criminals. Based on the research and analysis of algorithms that have performed well in recent years, this paper proposes a dual-convolution multi-scale feature extraction network that combines central differential convolution and depth separable convolution. At the same time, we also added traditional manual feature LBP to Improve the robustness of the network. The proposed network mainly for high -definition photo and video replay attacks.
{"title":"Feature Extraction of Dual-convolutional Network with LBP for Face Anti-Spoofing","authors":"Ming-xiong Guo, Zhengyou Wang, Shanna Zhuang","doi":"10.1109/ICCEAI52939.2021.00061","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00061","url":null,"abstract":"With the promotion of information technology, network security issues have received more and more attention. As the most unique and widely used biological feature, human face is the primary verification method that people choose. But it has also become the preferred target of criminals. Based on the research and analysis of algorithms that have performed well in recent years, this paper proposes a dual-convolution multi-scale feature extraction network that combines central differential convolution and depth separable convolution. At the same time, we also added traditional manual feature LBP to Improve the robustness of the network. The proposed network mainly for high -definition photo and video replay attacks.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134240331","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 thesis thoroughly analyses the developing situation of China's automotive industry, conducts researches and innovations on such aspects as technical standards, Beidou technology, the construction of governments' and enterprises' vehicle management platforms, and vehicle management through taking the example of the vehicle digital management of china's large-scale central energy enterprises and structures applications covering vehicle asset management, operation monitoring, cost management, data analysis and integration of vehicle pile network, which can realize the digital management for over 200,000 vehicles of these enterprises, helping accelerate their development. The research and application of this case is of great reference significance and value for promoting the future development of this industry.
{"title":"Research and Application of Digital Management of Vehicles Based on The New Generation of Information Technology","authors":"Haohan Hu, Kuanrong Li, Jian Zhao, Ying Wang, Bao-hua Shan, Naichao Wu","doi":"10.1109/ICCEAI52939.2021.00031","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00031","url":null,"abstract":"The thesis thoroughly analyses the developing situation of China's automotive industry, conducts researches and innovations on such aspects as technical standards, Beidou technology, the construction of governments' and enterprises' vehicle management platforms, and vehicle management through taking the example of the vehicle digital management of china's large-scale central energy enterprises and structures applications covering vehicle asset management, operation monitoring, cost management, data analysis and integration of vehicle pile network, which can realize the digital management for over 200,000 vehicles of these enterprises, helping accelerate their development. The research and application of this case is of great reference significance and value for promoting the future development of this industry.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125701492","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 : 2021-08-01DOI: 10.1109/ICCEAI52939.2021.00085
Xu Xin-ai, Wang Li-na, Qi Chun-ying
In order to obtain a higher-precision “data structure” teaching quality evaluation result, according to the characteristics of the “data structure” teaching quality evaluation. A “data structure” teaching quality evaluation model based on the combination of principal component analysis and support vector machine is designed and applied to specific examples. The experimental results confirm that the established model has obtained high-precision evaluation results in the “data structure” teaching quality evaluation level, which can provide valuable information for improving the teaching quality evaluation of “data structure” and related courses.
{"title":"Teaching Quality Evaluation of “Data Structure” Courses Based on Principal Component Analysis and Support Vector Machine","authors":"Xu Xin-ai, Wang Li-na, Qi Chun-ying","doi":"10.1109/ICCEAI52939.2021.00085","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00085","url":null,"abstract":"In order to obtain a higher-precision “data structure” teaching quality evaluation result, according to the characteristics of the “data structure” teaching quality evaluation. A “data structure” teaching quality evaluation model based on the combination of principal component analysis and support vector machine is designed and applied to specific examples. The experimental results confirm that the established model has obtained high-precision evaluation results in the “data structure” teaching quality evaluation level, which can provide valuable information for improving the teaching quality evaluation of “data structure” and related courses.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125159016","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 : 2021-08-01DOI: 10.1109/ICCEAI52939.2021.00107
Wang Chenxu, Tang Wenqian, Chen Haobin
Using life events scale, self-transcendence scale and meaning in life scale, 1019 college students were investigated to explore the relationship between self-transcendence wisdom, negative life events and meaning in life. The results showed that there was a significant negative correlation between negative life events and self-transcendence wisdom, and a significant negative correlation between meaning in life and wisdom. The relationship between negative life events and self-transcendence wisdom was moderated by meaning in life as a moderating variable.
{"title":"The Effect of Negative Life Events on Self-transcendence Wisdom: The Moderating Role of Meaning in Life","authors":"Wang Chenxu, Tang Wenqian, Chen Haobin","doi":"10.1109/ICCEAI52939.2021.00107","DOIUrl":"https://doi.org/10.1109/ICCEAI52939.2021.00107","url":null,"abstract":"Using life events scale, self-transcendence scale and meaning in life scale, 1019 college students were investigated to explore the relationship between self-transcendence wisdom, negative life events and meaning in life. The results showed that there was a significant negative correlation between negative life events and self-transcendence wisdom, and a significant negative correlation between meaning in life and wisdom. The relationship between negative life events and self-transcendence wisdom was moderated by meaning in life as a moderating variable.","PeriodicalId":331409,"journal":{"name":"2021 International Conference on Computer Engineering and Artificial Intelligence (ICCEAI)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117108207","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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