Pub Date : 2020-09-01DOI: 10.1109/ICDSBA51020.2020.00016
Chenghui Yang, Hongjie Bao, Wanqiu Ma, Lianlian Wang
Based on the analysis of the special status of the northwest region, this paper summarizes the methods of poverty reduction in the northwest region, especially in rural areas, and analyzes the advantages and disadvantages of various poverty reduction programs in combination with the specific measures of the rural revitalization strategy.
{"title":"Analysis on the Rural Poverty Alleviation of Northwest Ethnic Groups under the Rural Revitalization Strategy","authors":"Chenghui Yang, Hongjie Bao, Wanqiu Ma, Lianlian Wang","doi":"10.1109/ICDSBA51020.2020.00016","DOIUrl":"https://doi.org/10.1109/ICDSBA51020.2020.00016","url":null,"abstract":"Based on the analysis of the special status of the northwest region, this paper summarizes the methods of poverty reduction in the northwest region, especially in rural areas, and analyzes the advantages and disadvantages of various poverty reduction programs in combination with the specific measures of the rural revitalization strategy.","PeriodicalId":354742,"journal":{"name":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115779870","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 : 2020-09-01DOI: 10.1109/ICDSBA51020.2020.00051
Tingjun Li, Haining Yang, Kai Fang, Haiming Wang, Shijia Yi, Na Li, Hua Xin
The maglev train system is complex, involving motion control, maglev control, wireless communication, fault detection and many other aspects, it is particularly important to keep the information exchange between the parts of the system stable. In view of this, a maglev train communication protocol based on ring buffer between mobile and radio control unit (MRCU) and vehicle secure computer (VSC) is proposed in this paper. The storage space is effectively saved and the probability of data loss is reduced by using the ring buffer, because the buffer can be used in cycles and new received data can be stored behind the unprocessed data. Simultaneously, each frame in the designed communication protocol can contain the data between MRCU and VSC as completely as possible without making mistakes in communication process. This paper firstly introduces the hardware connection scheme between MRCU and VSC of maglev train, then, on this basis, designs the communication protocol, and explains how to use ring buffer to decode frame. Finally, feasibility of the communication protocol is proved by field debugging and testing.
{"title":"Research on Communication Interface for Maglev Vehicle Operation Control Based on Ring Buffer","authors":"Tingjun Li, Haining Yang, Kai Fang, Haiming Wang, Shijia Yi, Na Li, Hua Xin","doi":"10.1109/ICDSBA51020.2020.00051","DOIUrl":"https://doi.org/10.1109/ICDSBA51020.2020.00051","url":null,"abstract":"The maglev train system is complex, involving motion control, maglev control, wireless communication, fault detection and many other aspects, it is particularly important to keep the information exchange between the parts of the system stable. In view of this, a maglev train communication protocol based on ring buffer between mobile and radio control unit (MRCU) and vehicle secure computer (VSC) is proposed in this paper. The storage space is effectively saved and the probability of data loss is reduced by using the ring buffer, because the buffer can be used in cycles and new received data can be stored behind the unprocessed data. Simultaneously, each frame in the designed communication protocol can contain the data between MRCU and VSC as completely as possible without making mistakes in communication process. This paper firstly introduces the hardware connection scheme between MRCU and VSC of maglev train, then, on this basis, designs the communication protocol, and explains how to use ring buffer to decode frame. Finally, feasibility of the communication protocol is proved by field debugging and testing.","PeriodicalId":354742,"journal":{"name":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122664501","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 : 2020-09-01DOI: 10.1109/ICDSBA51020.2020.00084
Jibo Li, Sanguo Li, Weining Ni
Electromagnetic wave and mud pressure wave data transmission technology cannot achieve a large amount of data uploading transmission rate in downhole, which cannot meet the transmission requirement of logging while drilling (LWD) data and geosteering service data. A new while-drilling data transmission system through micro-chip memory releasing was introduced in this paper. Plenty of micro-chip memories were installed in cavity of the releasing device, and were injected measurement data of LWD according to instructions, then were released to annulus regularly or irregularly, the memories will be carried to the surface by mud flow, so the stored data was transmitted to ground. A downhole releasing device is designed to releasing memories, flow channel of which is a decisive factor of this technology. Numerical simulation method is used to analyze flow field in data memory releasing device flow channel, the results of which show that outlet flow pressure will not damage borehole stability.
{"title":"Flow Field Analysis in Data Memory Releasing Device","authors":"Jibo Li, Sanguo Li, Weining Ni","doi":"10.1109/ICDSBA51020.2020.00084","DOIUrl":"https://doi.org/10.1109/ICDSBA51020.2020.00084","url":null,"abstract":"Electromagnetic wave and mud pressure wave data transmission technology cannot achieve a large amount of data uploading transmission rate in downhole, which cannot meet the transmission requirement of logging while drilling (LWD) data and geosteering service data. A new while-drilling data transmission system through micro-chip memory releasing was introduced in this paper. Plenty of micro-chip memories were installed in cavity of the releasing device, and were injected measurement data of LWD according to instructions, then were released to annulus regularly or irregularly, the memories will be carried to the surface by mud flow, so the stored data was transmitted to ground. A downhole releasing device is designed to releasing memories, flow channel of which is a decisive factor of this technology. Numerical simulation method is used to analyze flow field in data memory releasing device flow channel, the results of which show that outlet flow pressure will not damage borehole stability.","PeriodicalId":354742,"journal":{"name":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122941154","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 flexspline of a harmonic reducer in an industrial robot has two failure modes. In this paper, using the commercial software Ansys, the problem of flexspline strength is investigated through the boundary condition setting and the static and buckling computation. Meanwhile, the torsion critical load of the flexspline was measured by setting up a torsional test device. The research results show that the flexsplines with different structures have different failure modes, and they can be checked by strength computation.
{"title":"Research on Flexspline Strength of Harmonic Reducer for Industrial Robot","authors":"Zelu Zhang, Jingjun Gu, Jing Tan, Dishan Huang, Tong Tong","doi":"10.1109/ICDSBA51020.2020.00063","DOIUrl":"https://doi.org/10.1109/ICDSBA51020.2020.00063","url":null,"abstract":"The flexspline of a harmonic reducer in an industrial robot has two failure modes. In this paper, using the commercial software Ansys, the problem of flexspline strength is investigated through the boundary condition setting and the static and buckling computation. Meanwhile, the torsion critical load of the flexspline was measured by setting up a torsional test device. The research results show that the flexsplines with different structures have different failure modes, and they can be checked by strength computation.","PeriodicalId":354742,"journal":{"name":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133693774","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 : 2020-09-01DOI: 10.1109/ICDSBA51020.2020.00074
Yao Zhang
In this paper, a rowing machine is designed according to rowing action. Then, on the one hand, motion simulation is finished by using SolidWorks to obtain its displacement and velocity, and verify the size of each rod of the rowing machine. On the other hand, static simulation is finished by using SolidWorks to obtain its stress during one cycle and then optimize the diameter of the handrail for ensuring the comfort and safety. The results show that the motion simulation curve is basically consistent with the motion analytical curve of the rowing machine, it verifies rationality of the optimal parameters. The rowing machine can drive the coordinated movement of the upper limbs, lower limbs, waist and abdomen, and back joints of the human body, which is consistent with the traditional rowing movement. It achieves the purpose of training and fitness. Moreover, the speed of the pedal and tailstock remain basically unchanged and no sharp acceleration or deceleration exist, so the rowing machine meets the uniform speed requirements of traditional rowing action and the comfort of use.The maximum stress of the rowing machine appears on the rod L1. It is less than the yield stress of stainless steel AISI-304.
{"title":"Motion and Static Simulation of Rowing Machine","authors":"Yao Zhang","doi":"10.1109/ICDSBA51020.2020.00074","DOIUrl":"https://doi.org/10.1109/ICDSBA51020.2020.00074","url":null,"abstract":"In this paper, a rowing machine is designed according to rowing action. Then, on the one hand, motion simulation is finished by using SolidWorks to obtain its displacement and velocity, and verify the size of each rod of the rowing machine. On the other hand, static simulation is finished by using SolidWorks to obtain its stress during one cycle and then optimize the diameter of the handrail for ensuring the comfort and safety. The results show that the motion simulation curve is basically consistent with the motion analytical curve of the rowing machine, it verifies rationality of the optimal parameters. The rowing machine can drive the coordinated movement of the upper limbs, lower limbs, waist and abdomen, and back joints of the human body, which is consistent with the traditional rowing movement. It achieves the purpose of training and fitness. Moreover, the speed of the pedal and tailstock remain basically unchanged and no sharp acceleration or deceleration exist, so the rowing machine meets the uniform speed requirements of traditional rowing action and the comfort of use.The maximum stress of the rowing machine appears on the rod L1. It is less than the yield stress of stainless steel AISI-304.","PeriodicalId":354742,"journal":{"name":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130446380","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 : 2020-09-01DOI: 10.1109/ICDSBA51020.2020.00011
Hongyan Zhang, Shouming Ren, Chenlei Xie, Y. Zhong, Cuiyan Yuan
Building electricity data which is the basis of building energy consumption statistics comes from metering sensors scattered around the building, and the data obtained by metering sensors drifts partially. The cost of manually checking these data is very high. In response to this problem, this paper studies a method based on genetic algorithm (GA) optimization that combines Support Vector Machine (SVM) and Kalman filter (KF) to calibrate electricity consumption data. Training samples and test samples are obtained by preprocessing and normalizing the collected electricity consumption data. The support vector machine model is obtained from the training samples, and the electricity consumption data is predicted by the test sample data. Finally, the Kalman filter is used to track and calibrate the drift value to obtain the calibration electricity consumption data, and compare simulation experiments with other methods. The results show that the method has reached 91.88% of the agreed coefficient of regression prediction for the data, indicating that the algorithm is more accurate in calibrating the electricity consumption data, and has a certain guiding role in the verification of energy consumption data.
{"title":"Research on Calibration Method of Electricity Data Based on GA_SVM-KF","authors":"Hongyan Zhang, Shouming Ren, Chenlei Xie, Y. Zhong, Cuiyan Yuan","doi":"10.1109/ICDSBA51020.2020.00011","DOIUrl":"https://doi.org/10.1109/ICDSBA51020.2020.00011","url":null,"abstract":"Building electricity data which is the basis of building energy consumption statistics comes from metering sensors scattered around the building, and the data obtained by metering sensors drifts partially. The cost of manually checking these data is very high. In response to this problem, this paper studies a method based on genetic algorithm (GA) optimization that combines Support Vector Machine (SVM) and Kalman filter (KF) to calibrate electricity consumption data. Training samples and test samples are obtained by preprocessing and normalizing the collected electricity consumption data. The support vector machine model is obtained from the training samples, and the electricity consumption data is predicted by the test sample data. Finally, the Kalman filter is used to track and calibrate the drift value to obtain the calibration electricity consumption data, and compare simulation experiments with other methods. The results show that the method has reached 91.88% of the agreed coefficient of regression prediction for the data, indicating that the algorithm is more accurate in calibrating the electricity consumption data, and has a certain guiding role in the verification of energy consumption data.","PeriodicalId":354742,"journal":{"name":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"180 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124514201","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 : 2020-09-01DOI: 10.1109/ICDSBA51020.2020.00094
Yi Zhang, Yong Hu, Xiaolin Hu, Bin Xing
This paper implements the construction of three-dimensional point cloud map based on RGB-D SLAM, and takes the three-dimensional point cloud information output by SLAM system as the input of Octomap, generates octree map and performs three-dimensional projection transformation, which converts point cloud map into two-dimensional raster map for path planning research. In order to solve the problem of secondary obstacle avoidance and the problem of emergency stop caused by no local optimal solution in local path planning, a new path planning algorithm for mobile robot based on dynamic object trajectory prediction is presented, and the best path is selected by combining the reinforcement learning algorithm, Sarsa, to avoid dynamic obstacles effectively. On the basis of using RGB-D camera to locate pedestrians in real time, Kalman filter algorithm is used to predict the global coordinates of pedestrians in the next moment. Then a new reward and punishment mechanism is designed to realize the dynamic obstacle avoidance based on the improved Sarsa algorithm, so that the mobile robot can leave the radiation circle of pedestrian prediction coordinates as soon as possible and avoid the pedestrian walking path.
{"title":"Path Planning for Mobile Robot Based on RGB-D SLAM and Pedestrian Trajectory Prediction","authors":"Yi Zhang, Yong Hu, Xiaolin Hu, Bin Xing","doi":"10.1109/ICDSBA51020.2020.00094","DOIUrl":"https://doi.org/10.1109/ICDSBA51020.2020.00094","url":null,"abstract":"This paper implements the construction of three-dimensional point cloud map based on RGB-D SLAM, and takes the three-dimensional point cloud information output by SLAM system as the input of Octomap, generates octree map and performs three-dimensional projection transformation, which converts point cloud map into two-dimensional raster map for path planning research. In order to solve the problem of secondary obstacle avoidance and the problem of emergency stop caused by no local optimal solution in local path planning, a new path planning algorithm for mobile robot based on dynamic object trajectory prediction is presented, and the best path is selected by combining the reinforcement learning algorithm, Sarsa, to avoid dynamic obstacles effectively. On the basis of using RGB-D camera to locate pedestrians in real time, Kalman filter algorithm is used to predict the global coordinates of pedestrians in the next moment. Then a new reward and punishment mechanism is designed to realize the dynamic obstacle avoidance based on the improved Sarsa algorithm, so that the mobile robot can leave the radiation circle of pedestrian prediction coordinates as soon as possible and avoid the pedestrian walking path.","PeriodicalId":354742,"journal":{"name":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"171 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117311037","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 : 2020-09-01DOI: 10.1109/ICDSBA51020.2020.00037
Lulu Zhang, Shimin Zhao, Hu Liu, Weilong Wang, Jiajian Wang
In order to effectively escalator working status, ensure safe operation and prevent failure, this paper proposes an escalator monitoring method based on hidden Markov (HMM) model. This article focuses on taking the main axis of the escalator as an example, classifying its vibration intensity, using the HMM model to predict its state, realizing fault warning, and ensuring the safe operation of the escalator.
{"title":"Intelligent Monitoring Method of Escalator Based on HMM Model","authors":"Lulu Zhang, Shimin Zhao, Hu Liu, Weilong Wang, Jiajian Wang","doi":"10.1109/ICDSBA51020.2020.00037","DOIUrl":"https://doi.org/10.1109/ICDSBA51020.2020.00037","url":null,"abstract":"In order to effectively escalator working status, ensure safe operation and prevent failure, this paper proposes an escalator monitoring method based on hidden Markov (HMM) model. This article focuses on taking the main axis of the escalator as an example, classifying its vibration intensity, using the HMM model to predict its state, realizing fault warning, and ensuring the safe operation of the escalator.","PeriodicalId":354742,"journal":{"name":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115449000","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 : 2020-09-01DOI: 10.1109/ICDSBA51020.2020.00081
Chengfang Zhang
The traditional convolutional dictionary-learning algorithm not only realizes the global sparse representation by imposing constraints on the image □0 or □1 norm, but also allows all possible movements of the local dictionary. However, selected atoms may be concentrated in certain areas of the image, while other atoms may be very sparse. Therefore, when using a traditionally-learned convolution dictionary, global sparseness alone is not sufficient to represent the entire image structure, and the resulting fusion image suffers from partial detail damage. For the above-mentioned convolutional sparse coding problem, this paper presents a greedy strategy based on the constraint 1_("0," ∞) problem to obtain a convolution dictionary(CDL-GMT), and applies the learned convolutional sparse dictionary to infrared and visible-light image fusion. This method attempts to impose constraints on sparsity locally, while considering the global structure. Experimental results prove the method to be superior to others in subjective and objective evaluation.
{"title":"Convolutional Dictionary Learning Using Global Matching Tracking (CDL-GMT): Application to Visible-Infrared Image Fusion","authors":"Chengfang Zhang","doi":"10.1109/ICDSBA51020.2020.00081","DOIUrl":"https://doi.org/10.1109/ICDSBA51020.2020.00081","url":null,"abstract":"The traditional convolutional dictionary-learning algorithm not only realizes the global sparse representation by imposing constraints on the image □0 or □1 norm, but also allows all possible movements of the local dictionary. However, selected atoms may be concentrated in certain areas of the image, while other atoms may be very sparse. Therefore, when using a traditionally-learned convolution dictionary, global sparseness alone is not sufficient to represent the entire image structure, and the resulting fusion image suffers from partial detail damage. For the above-mentioned convolutional sparse coding problem, this paper presents a greedy strategy based on the constraint 1_(\"0,\" ∞) problem to obtain a convolution dictionary(CDL-GMT), and applies the learned convolutional sparse dictionary to infrared and visible-light image fusion. This method attempts to impose constraints on sparsity locally, while considering the global structure. Experimental results prove the method to be superior to others in subjective and objective evaluation.","PeriodicalId":354742,"journal":{"name":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116706581","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 : 2020-09-01DOI: 10.1109/ICDSBA51020.2020.00017
Yelin Zhong, Caihong He, Jiaqi Tang
Food safety is not only related to the vital interests of the public, but also related to the long-term stability of the country. First, the source and characteristics of big data in the food industry are combed, in this paper. Then, the pretreatment process of big data for smart food safety is described, and its parallel computing model is introduced. At last, the application contexts of smart food safety are provided.
{"title":"Research on the Application of Big Data in Smart Food Safety","authors":"Yelin Zhong, Caihong He, Jiaqi Tang","doi":"10.1109/ICDSBA51020.2020.00017","DOIUrl":"https://doi.org/10.1109/ICDSBA51020.2020.00017","url":null,"abstract":"Food safety is not only related to the vital interests of the public, but also related to the long-term stability of the country. First, the source and characteristics of big data in the food industry are combed, in this paper. Then, the pretreatment process of big data for smart food safety is described, and its parallel computing model is introduced. At last, the application contexts of smart food safety are provided.","PeriodicalId":354742,"journal":{"name":"2020 4th Annual International Conference on Data Science and Business Analytics (ICDSBA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125804727","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：