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}
Artificial intelligence is changing the world. The application of the artificial intelligence in logistics has brought a significant reduction in labor costs and huge increase in logistics efficiency. Artificial intelligence will lead the logistics industry truly enter the era of intelligent logistics. Warehousing is one of the most important function of logistics, so the intelligent level of warehousing has great effects on the construction and promotion of intelligent logistics. This article aims to study the applications of artificial intelligence in logistics warehousing, and analyze the limiting factors of artificial intelligence applied in the construction of intelligent warehousing, finally briefly conclude its general situation and prospects of future development.
{"title":"Research on the Artificial Intelligence Applied in Logistics Warehousing","authors":"Xinke Du","doi":"10.1145/3421766.3421798","DOIUrl":"https://doi.org/10.1145/3421766.3421798","url":null,"abstract":"Artificial intelligence is changing the world. The application of the artificial intelligence in logistics has brought a significant reduction in labor costs and huge increase in logistics efficiency. Artificial intelligence will lead the logistics industry truly enter the era of intelligent logistics. Warehousing is one of the most important function of logistics, so the intelligent level of warehousing has great effects on the construction and promotion of intelligent logistics. This article aims to study the applications of artificial intelligence in logistics warehousing, and analyze the limiting factors of artificial intelligence applied in the construction of intelligent warehousing, finally briefly conclude its general situation and prospects of future development.","PeriodicalId":360184,"journal":{"name":"Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"99 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":"114699829","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}
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}
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}
To clarify the problems of aviation radar in heat dissipation, optimize the overall operational capability of radar equipment, and improve the safety of aviation radar equipment, under the premise of studying the structure of the radar heat dissipation system, by analyzing the operation of the radar heat dissipation system and the motor of the front-end prototype structure, the main reasons for heat dissipation faults are deeply analyzed. The method of statistical process control is utilized to predict the performance of the front-end motor and remind maintenance personnel to monitor the radar heat dissipation system in real-time. At the same time, by using the improved particle swarm optimization (PSO) algorithm model, the factors and kernel functions of the support vector machine (SVM) are optimized, and the regression accuracy of the SVM is improved. Furthermore, the motor failure prediction model is established, thereby ensuring the efficient and safe operating state of the radar system. The results show: (1) the failure of the radar motor is the major cause of heat dissipation faults; (2) compared to other algorithms, the efficiency of the PSO algorithm is improved by 30%, but the accuracy rate drops by 5%; (3) the applications of forewarning model for front-end prototype under statistical process control (SPC) can reduce the workload of maintenance personnel by 50%. The simulation results show that the combined method of SPC and SVM can predict the failure of the powering devices in radar heat dissipation systems. Besides, if the classification and regression models are combined, the difference between the predicted voltage and the true voltage will be smaller, and the accuracy will be higher. The above results provide a theoretical basis for the research of radar heat dissipation system and motor failure, which ensures the overall safety of the radar system and provides the necessary guarantee for the crew and the aviation command system.
{"title":"The Performance of Radar Heat Dissipation System under Particle Swarm Optimization Algorithm and Structural Design of Front-end Prototype","authors":"Zhen Wang, Jinwen Zhou","doi":"10.1145/3421766.3421810","DOIUrl":"https://doi.org/10.1145/3421766.3421810","url":null,"abstract":"To clarify the problems of aviation radar in heat dissipation, optimize the overall operational capability of radar equipment, and improve the safety of aviation radar equipment, under the premise of studying the structure of the radar heat dissipation system, by analyzing the operation of the radar heat dissipation system and the motor of the front-end prototype structure, the main reasons for heat dissipation faults are deeply analyzed. The method of statistical process control is utilized to predict the performance of the front-end motor and remind maintenance personnel to monitor the radar heat dissipation system in real-time. At the same time, by using the improved particle swarm optimization (PSO) algorithm model, the factors and kernel functions of the support vector machine (SVM) are optimized, and the regression accuracy of the SVM is improved. Furthermore, the motor failure prediction model is established, thereby ensuring the efficient and safe operating state of the radar system. The results show: (1) the failure of the radar motor is the major cause of heat dissipation faults; (2) compared to other algorithms, the efficiency of the PSO algorithm is improved by 30%, but the accuracy rate drops by 5%; (3) the applications of forewarning model for front-end prototype under statistical process control (SPC) can reduce the workload of maintenance personnel by 50%. The simulation results show that the combined method of SPC and SVM can predict the failure of the powering devices in radar heat dissipation systems. Besides, if the classification and regression models are combined, the difference between the predicted voltage and the true voltage will be smaller, and the accuracy will be higher. The above results provide a theoretical basis for the research of radar heat dissipation system and motor failure, which ensures the overall safety of the radar system and provides the necessary guarantee for the crew and the aviation command system.","PeriodicalId":360184,"journal":{"name":"Proceedings of the 2nd International Conference on Artificial Intelligence and Advanced Manufacture","volume":"18 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":"121845482","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 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}
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}
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}
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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：