In order to reduce the layover region in traditional single-angle synthetic aperture radar (SA-SAR) image, a multi-angle synthetic aperture radar (MA-SAR) image fusion algorithm based on optimal local image index is proposed. By utilizing every two images of N SA-SAR images obtained from different observation angles under certain combination criteria to obtain a candidate image set with C2N images, the proposed algorithm calculates the local image index of every pixel of each image in the candidate image set and selects the pixel with the optimal local image index to constitute the final MA-SAR fusion image. The MA-SAR fusion image can effectively reduce the layover region in SA-SAR image. The simulation results have verified the effectiveness of the proposed algorithm.
{"title":"Multi-angle SAR Image Fusion Algorithm Based on Optimal Local Image Index","authors":"Da Ran, Fengjie Zheng, Zhiliang Li, Can-bin Yin","doi":"10.1145/3421766.3421885","DOIUrl":"https://doi.org/10.1145/3421766.3421885","url":null,"abstract":"In order to reduce the layover region in traditional single-angle synthetic aperture radar (SA-SAR) image, a multi-angle synthetic aperture radar (MA-SAR) image fusion algorithm based on optimal local image index is proposed. By utilizing every two images of N SA-SAR images obtained from different observation angles under certain combination criteria to obtain a candidate image set with C2N images, the proposed algorithm calculates the local image index of every pixel of each image in the candidate image set and selects the pixel with the optimal local image index to constitute the final MA-SAR fusion image. The MA-SAR fusion image can effectively reduce the layover region in SA-SAR image. The simulation results have verified the effectiveness of the proposed algorithm.","PeriodicalId":360184,"journal":{"name":"Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117187959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In order to meet the needs of wireless communication with high integration and software programming. Designed a high-speed UAV telemetry and telecontrol radio based on AD9361 and SOC, introduced the overall design of the radio station. It mainly includes the scheme design of the upward remote control link and the downward telemetry link, design of framing and deframing scheme for remote control data and telemetry data, design and simulation of BPSK modulation and demodulation algorithm, design and simulation of QPSK modulation and demodulation algorithm, has certain engineering application value.
{"title":"Design and simulation of a new type of high-speed UAV measurement and control radio","authors":"Luoyang Zhou, Xiaowei Dong, Jianzhong Qi","doi":"10.1145/3421766.3421832","DOIUrl":"https://doi.org/10.1145/3421766.3421832","url":null,"abstract":"In order to meet the needs of wireless communication with high integration and software programming. Designed a high-speed UAV telemetry and telecontrol radio based on AD9361 and SOC, introduced the overall design of the radio station. It mainly includes the scheme design of the upward remote control link and the downward telemetry link, design of framing and deframing scheme for remote control data and telemetry data, design and simulation of BPSK modulation and demodulation algorithm, design and simulation of QPSK modulation and demodulation algorithm, has certain engineering application value.","PeriodicalId":360184,"journal":{"name":"Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116139757","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper presents a novel design for a robotic end-effector. In particular, the design features a 4-DOF parallel gripper potential of applying for industrial automation. This gripper mainly consists of two parallelogram mechanisms and two grasp sliders, which can perform in-hand twisting action (in-hand manipulation) and in-plane horizontal and vertical transmission. Moreover, the proposed gripper adopts parallel grasping mode and can provide stable ability to maintain force closure on an object with large ranges of size. The kinematic analysis which includes position solution and velocity solution is derived. The velocity manipulability that possesses the physical significance of energy transfer efficiency is defined. A numerical example is presented to evaluate the performance of the gripper. The results indicate that the gripper can achieve horizontal transmission to supplement the workspace of the robot arm, and possess relatively better performance on in-hand manipulation and in-plane vertical transmission.
{"title":"Kinematic Analysis and Manipulability Evaluation of a 4-DOF Parallel Gripper for Dexterous Manipulation","authors":"Xiaodong Zhou, Jianfeng Li, Shiping Zuo","doi":"10.1145/3421766.3421861","DOIUrl":"https://doi.org/10.1145/3421766.3421861","url":null,"abstract":"This paper presents a novel design for a robotic end-effector. In particular, the design features a 4-DOF parallel gripper potential of applying for industrial automation. This gripper mainly consists of two parallelogram mechanisms and two grasp sliders, which can perform in-hand twisting action (in-hand manipulation) and in-plane horizontal and vertical transmission. Moreover, the proposed gripper adopts parallel grasping mode and can provide stable ability to maintain force closure on an object with large ranges of size. The kinematic analysis which includes position solution and velocity solution is derived. The velocity manipulability that possesses the physical significance of energy transfer efficiency is defined. A numerical example is presented to evaluate the performance of the gripper. The results indicate that the gripper can achieve horizontal transmission to supplement the workspace of the robot arm, and possess relatively better performance on in-hand manipulation and in-plane vertical transmission.","PeriodicalId":360184,"journal":{"name":"Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127883890","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}
Form, as a component of the product, is the key point that directly affects the visual expression of the product in product modeling design. For the product which needs to close contact with the human body, its Ergonomics Form and function have deeper interactions with each other, and the form often has the function of supporting. From the point of view of ergonomics, this paper focus on the car seat Man-machine From design, through the relevant experimental research and comfort questionnaire survey. It is found that those products which have more superior ergonomics form design, can provide users with more creature comforts.
{"title":"Application of Ergonomics Form in Car Seat Modeling Design","authors":"Ya Wen, Weiguo Yang","doi":"10.1145/3421766.3421865","DOIUrl":"https://doi.org/10.1145/3421766.3421865","url":null,"abstract":"Form, as a component of the product, is the key point that directly affects the visual expression of the product in product modeling design. For the product which needs to close contact with the human body, its Ergonomics Form and function have deeper interactions with each other, and the form often has the function of supporting. From the point of view of ergonomics, this paper focus on the car seat Man-machine From design, through the relevant experimental research and comfort questionnaire survey. It is found that those products which have more superior ergonomics form design, can provide users with more creature comforts.","PeriodicalId":360184,"journal":{"name":"Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131606162","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the past few decades, wireless indoor positioning systems, especially signal strength fingerprint technology, have become the subject of major research efforts. However, most proposed solutions require an expensive site survey to build a radio map, which can be used to match the radio signature to a specific location. In this study, we proposed a novel fingerprint-based indoor localization using weighted K-nearest neighbor and weighted signal strength, named WKNNS. We adjust the weight of samples by the strength of the signal: reduce the influence of strong signal samples, and increase the influence of weak signal samples. First, the strong signal samples were divided into multiple clusters by dividing. Then, the weak signal samples are divided into those clusters. Thus, multi-sample classification can be turned into a binary classification problem. This algorithm was applied to indoor positioning and obtained better accuracy. Compared with the traditional KNN and Bayesian algorithms, we found that the positioning accuracy of WKNNS after region division is higher than that of Bayesian algorithm. The cumulative error probability distribution of the WKNNS algorithms optimized by the reader is also higher than Bayesian algorithm. The positioning accuracy of the WKNNS algorithm based on the fingerprint conversion model is higher than that based on the signal strength fingerprint.
{"title":"Fingerprint-based Indoor Localization using Weighted K-Nearest Neighbor and Weighted Signal Intensity","authors":"Liwei Zhang, Changming Zhao, Yunshi Wang, Lei Dai","doi":"10.1145/3421766.3421813","DOIUrl":"https://doi.org/10.1145/3421766.3421813","url":null,"abstract":"In the past few decades, wireless indoor positioning systems, especially signal strength fingerprint technology, have become the subject of major research efforts. However, most proposed solutions require an expensive site survey to build a radio map, which can be used to match the radio signature to a specific location. In this study, we proposed a novel fingerprint-based indoor localization using weighted K-nearest neighbor and weighted signal strength, named WKNNS. We adjust the weight of samples by the strength of the signal: reduce the influence of strong signal samples, and increase the influence of weak signal samples. First, the strong signal samples were divided into multiple clusters by dividing. Then, the weak signal samples are divided into those clusters. Thus, multi-sample classification can be turned into a binary classification problem. This algorithm was applied to indoor positioning and obtained better accuracy. Compared with the traditional KNN and Bayesian algorithms, we found that the positioning accuracy of WKNNS after region division is higher than that of Bayesian algorithm. The cumulative error probability distribution of the WKNNS algorithms optimized by the reader is also higher than Bayesian algorithm. The positioning accuracy of the WKNNS algorithm based on the fingerprint conversion model is higher than that based on the signal strength fingerprint.","PeriodicalId":360184,"journal":{"name":"Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130760714","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 extraction of stereoscopic field footprint has always been a major problem in the field of physical evidence processing, and the application of optical measurement technology and computer technology to extract the footprint of the site has become the main trend of footprint extraction analysis. Although the existing on-site stereoscopic footprint instruments are relatively numerous, the reliability and the stability need to be tested. Therefore, the system stability test of the 3D stereoscopic footprint acquisition instrument is a prerequisite method for instrument application. By verifying the stability of the instrument's effects, obtaining a reliable method for collecting footprints with a 3D footprint acquisition instrument. And then by experimental and statistical analysis of the stability of the three-dimensional footprint left during walking with pseudo-color pictures and indentation, summarizing the phenomenon of stable features in different footprints produced by the same person and realizing the comparison and differences of the footprints of different individuals. It seems to use the three-dimensional footprint acquisition system to collect on-site footprints or even during the subsequent detection and identification applications, which is of great significance to carry out the personal identification technology based on the biometric characteristics of the three-dimensional footprint in the future.
{"title":"New Progress in the Research on the Stability of 3D Footprint Acquisition System and the Application of Personal Identification","authors":"Yi Gao","doi":"10.1145/3421766.3421773","DOIUrl":"https://doi.org/10.1145/3421766.3421773","url":null,"abstract":"The extraction of stereoscopic field footprint has always been a major problem in the field of physical evidence processing, and the application of optical measurement technology and computer technology to extract the footprint of the site has become the main trend of footprint extraction analysis. Although the existing on-site stereoscopic footprint instruments are relatively numerous, the reliability and the stability need to be tested. Therefore, the system stability test of the 3D stereoscopic footprint acquisition instrument is a prerequisite method for instrument application. By verifying the stability of the instrument's effects, obtaining a reliable method for collecting footprints with a 3D footprint acquisition instrument. And then by experimental and statistical analysis of the stability of the three-dimensional footprint left during walking with pseudo-color pictures and indentation, summarizing the phenomenon of stable features in different footprints produced by the same person and realizing the comparison and differences of the footprints of different individuals. It seems to use the three-dimensional footprint acquisition system to collect on-site footprints or even during the subsequent detection and identification applications, which is of great significance to carry out the personal identification technology based on the biometric characteristics of the three-dimensional footprint in the future.","PeriodicalId":360184,"journal":{"name":"Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133406250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the research of brain-computer interface (BCI) technology, it is difficult to recognize electroencephalogram (EEG) signals induced by different movements of a single joint. In response to this situation, this paper proposes the use of empirical mode decomposition (EMD) to obtain the intrinsic mode function (IMF), combining amplitude-frequency (AF) domain information in the IMF with the common spatial pattern (CSP) to propose the AF-CSP construction shoulder. The eigenvectors of the three types of joints imaginary EEG signals are classified and recognized by the twin support vector machine. The experimental results show that the accuracy rate of the feature vectors constructed by the AF-CSP method proposed in this paper is 89.7 percent recognized by the twin support vector machine, which proves the effectiveness of the method and can be further used in brain-computer interfaces.
{"title":"Research on Recognition of Shoulder Joint Movement Imagination Based on BCI Technology","authors":"Shan Guan, Jilong Wang, Fuwang Wang","doi":"10.1145/3421766.3421805","DOIUrl":"https://doi.org/10.1145/3421766.3421805","url":null,"abstract":"In the research of brain-computer interface (BCI) technology, it is difficult to recognize electroencephalogram (EEG) signals induced by different movements of a single joint. In response to this situation, this paper proposes the use of empirical mode decomposition (EMD) to obtain the intrinsic mode function (IMF), combining amplitude-frequency (AF) domain information in the IMF with the common spatial pattern (CSP) to propose the AF-CSP construction shoulder. The eigenvectors of the three types of joints imaginary EEG signals are classified and recognized by the twin support vector machine. The experimental results show that the accuracy rate of the feature vectors constructed by the AF-CSP method proposed in this paper is 89.7 percent recognized by the twin support vector machine, which proves the effectiveness of the method and can be further used in brain-computer interfaces.","PeriodicalId":360184,"journal":{"name":"Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130369995","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}
There is a complicated non-linear relationship between the process parameters of the needle valve body extrusion grinding and the process effect, it is difficult to establish a complete and accurate process model. Therefore, by introducing genetic algorithm to optimize and improve the ELM extreme learning machine, a complete set of needle valve body process effect prediction model is established. The historical experimental data obtained by the self-developed needle valve body squeezing and grinding equipment were used as sample data for ELM algorithm model and GA-ELM algorithm model training. The results show that the optimized model can significantly improve the prediction accuracy of the data in the sample. The actual processing experiment of the needle valve body is carried out through the process parameter data in and out of the sample, the predicted value is compared with the actual value, and the performance of the accuracy of the predicted model is tested. The comparison results show that the actual data prediction error is kept within ±4%, which basically meets the actual prediction requirements, and thus provides a theoretical basis and reference value for subsequent process optimization.
{"title":"Prediction Model of Needle Valve Body Extrusion Grinding Process Based on GA-ELM","authors":"Chenzhe Sun, Shuzhen Yang, Tao Yu","doi":"10.1145/3421766.3421887","DOIUrl":"https://doi.org/10.1145/3421766.3421887","url":null,"abstract":"There is a complicated non-linear relationship between the process parameters of the needle valve body extrusion grinding and the process effect, it is difficult to establish a complete and accurate process model. Therefore, by introducing genetic algorithm to optimize and improve the ELM extreme learning machine, a complete set of needle valve body process effect prediction model is established. The historical experimental data obtained by the self-developed needle valve body squeezing and grinding equipment were used as sample data for ELM algorithm model and GA-ELM algorithm model training. The results show that the optimized model can significantly improve the prediction accuracy of the data in the sample. The actual processing experiment of the needle valve body is carried out through the process parameter data in and out of the sample, the predicted value is compared with the actual value, and the performance of the accuracy of the predicted model is tested. The comparison results show that the actual data prediction error is kept within ±4%, which basically meets the actual prediction requirements, and thus provides a theoretical basis and reference value for subsequent process optimization.","PeriodicalId":360184,"journal":{"name":"Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"82 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124457200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the facial action unit (Facial Action Unit, AU) recognition process, due to the low occurrence probability of some AUs, the sample imbalance is serious, which severely limits the model recognition performance. Generative adversarial network GAN is an unsupervised learning method. Compared with the autoencoder and autoregressive model in the unsupervised learning method, its advantages are sufficient data fitting, higher efficiency and better generated samples. The original GAN model uses the minimum and maximum (minmax) to continuously optimize the training of the model; the conditional generation adversarial network CGAN adds conditional constraints to the model input to make the generated results controllable and prevent collapse in the model training process. GAN has been widely used in research fields such as image processing, natural language processing NLP, and real-time color correction of underwater images. This paper designs a model based on a conditional generation adversarial network to supplement the minority samples of a specific AU and improve the sample distribution space of the action unit.
在人脸动作单元(facial action unit, AU)识别过程中，由于某些人脸的出现概率较低，导致样本失衡严重，严重限制了模型的识别性能。生成对抗网络GAN是一种无监督学习方法。与无监督学习方法中的自编码器和自回归模型相比，其优点是数据拟合充分，效率更高，生成的样本质量更好。原始GAN模型采用最小最大值(minmax)对模型进行持续优化训练;条件生成对抗网络CGAN在模型输入中加入条件约束，使生成的结果可控，防止模型训练过程中的崩溃。GAN已广泛应用于图像处理、自然语言处理NLP、水下图像实时色彩校正等研究领域。本文设计了一种基于条件生成对抗网络的模型，以补充特定AU的少数样本，改善行动单元的样本分布空间。
{"title":"AU Data Augmentation Method Based on Generative Adversarial Networks","authors":"Qingdan Huang, Liqiang Pei, Yong Wang, Lian Zeng","doi":"10.1145/3421766.3421825","DOIUrl":"https://doi.org/10.1145/3421766.3421825","url":null,"abstract":"In the facial action unit (Facial Action Unit, AU) recognition process, due to the low occurrence probability of some AUs, the sample imbalance is serious, which severely limits the model recognition performance. Generative adversarial network GAN is an unsupervised learning method. Compared with the autoencoder and autoregressive model in the unsupervised learning method, its advantages are sufficient data fitting, higher efficiency and better generated samples. The original GAN model uses the minimum and maximum (minmax) to continuously optimize the training of the model; the conditional generation adversarial network CGAN adds conditional constraints to the model input to make the generated results controllable and prevent collapse in the model training process. GAN has been widely used in research fields such as image processing, natural language processing NLP, and real-time color correction of underwater images. This paper designs a model based on a conditional generation adversarial network to supplement the minority samples of a specific AU and improve the sample distribution space of the action unit.","PeriodicalId":360184,"journal":{"name":"Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"41 6 Suppl 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123682157","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}
Zhenqiang Liu, Xiangli Lin, D. Jia, Dongjun Yang, Jun Zhang, Ting Xin
Lightweighting of standard EMU (Electric Multiple Unit) electrical cabinets is an important way to achieve weight reduction of the entire vehicle. The weight of the new cabinet body is 24.3% lighter than the original cabinet by optimizing the topology structure of CR400BF standard EMU electrical cabinet and adopting the new sliding door optimization design, which provides new ideas for the weight reduction of electrical cabinets in the future.
{"title":"Research on Light Weight of the Electric Cabinet of CR400BF Standard EMU","authors":"Zhenqiang Liu, Xiangli Lin, D. Jia, Dongjun Yang, Jun Zhang, Ting Xin","doi":"10.1145/3421766.3421875","DOIUrl":"https://doi.org/10.1145/3421766.3421875","url":null,"abstract":"Lightweighting of standard EMU (Electric Multiple Unit) electrical cabinets is an important way to achieve weight reduction of the entire vehicle. The weight of the new cabinet body is 24.3% lighter than the original cabinet by optimizing the topology structure of CR400BF standard EMU electrical cabinet and adopting the new sliding door optimization design, which provides new ideas for the weight reduction of electrical cabinets in the future.","PeriodicalId":360184,"journal":{"name":"Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125905349","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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