Dian-Hong Wang, Tao Sun, Xin Zhou, Zhuangzhuang Tian, Jianyu Guo, Meng Li, Fan Li, Jia Man, Jianyong Li
In view of the importance of the analysis and research of heavy truck driving big data and the urgent need for a simple and easy-to-use visual platform to display information, a set of heavy truck big data management system based on Vue and element UI is developed. The back-end of the system uses springboot technology to integrate the storage, processing and analysis functions of big data related technologies. The front-end is designed through Vue framework and element UI components, and finally develops a heavy truck background visual management system based on big data. The system has the functions of displaying real-time data of specified vehicles and querying any historical data of specified vehicles. It has the advantages of high concurrency and convenient maintenance.
{"title":"Research and development of heavy truck big data management system based on Vue and element UI","authors":"Dian-Hong Wang, Tao Sun, Xin Zhou, Zhuangzhuang Tian, Jianyu Guo, Meng Li, Fan Li, Jia Man, Jianyong Li","doi":"10.1145/3548608.3559320","DOIUrl":"https://doi.org/10.1145/3548608.3559320","url":null,"abstract":"In view of the importance of the analysis and research of heavy truck driving big data and the urgent need for a simple and easy-to-use visual platform to display information, a set of heavy truck big data management system based on Vue and element UI is developed. The back-end of the system uses springboot technology to integrate the storage, processing and analysis functions of big data related technologies. The front-end is designed through Vue framework and element UI components, and finally develops a heavy truck background visual management system based on big data. The system has the functions of displaying real-time data of specified vehicles and querying any historical data of specified vehicles. It has the advantages of high concurrency and convenient maintenance.","PeriodicalId":201434,"journal":{"name":"Proceedings of the 2022 2nd International Conference on Control and Intelligent Robotics","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132057592","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}
OpenStreetMap (OSM), as a typical representative of crowdsourced geographic information data, covers a large amount of open source geographic information data, which provides freely editable world-class geographic data for realizing information mining, analysis and visualization of geospatial data. Based on the geographic information data from the official website of OSM, this paper uses Python's geographic information data processing technology, geospatial data visualization technology and layer overlay method based on vector data analysis algorithm to realize visualization and information annotation of various types of geospatial data, providing reliable data processing, visualization and analysis methods for domestic resource exploration, transportation, epidemic prevention and control and other fields.
{"title":"Exploring Geospatial Data Visualization Based on Python","authors":"Nan Hu, Xianwei Meng, Hui Liu, Yuchun Li","doi":"10.1145/3548608.3559322","DOIUrl":"https://doi.org/10.1145/3548608.3559322","url":null,"abstract":"OpenStreetMap (OSM), as a typical representative of crowdsourced geographic information data, covers a large amount of open source geographic information data, which provides freely editable world-class geographic data for realizing information mining, analysis and visualization of geospatial data. Based on the geographic information data from the official website of OSM, this paper uses Python's geographic information data processing technology, geospatial data visualization technology and layer overlay method based on vector data analysis algorithm to realize visualization and information annotation of various types of geospatial data, providing reliable data processing, visualization and analysis methods for domestic resource exploration, transportation, epidemic prevention and control and other fields.","PeriodicalId":201434,"journal":{"name":"Proceedings of the 2022 2nd International Conference on Control and Intelligent Robotics","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130184429","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}
Jun Chen, Binghu Song, Xiaopeng Li, Liang Feng, Yujia Zhai
In view of the current problems of time-consuming and poor effect of intelligent management and control of power material warehousing, this paper puts forward the research method of intelligent management and control platform of power material warehousing based on Web. First, combined with web technology, this paper constructs the ERP management model of power material warehousing, improves the ERP management function of power material intelligent warehousing, optimizes the information processing algorithm of power material warehousing, and optimizes the structure and function of the platform. The processing steps of the intelligent management and control platform for power material warehousing are simplified. Finally, the experiment proves that the intelligent management and control platform for power material warehousing based on Web can realize the management of massive warehousing information more quickly in the actual application process, and its running time is shortened by more than 4h, which has high practicability.
{"title":"Research on intelligent management and control platform of power material storage based on Web","authors":"Jun Chen, Binghu Song, Xiaopeng Li, Liang Feng, Yujia Zhai","doi":"10.1145/3548608.3559245","DOIUrl":"https://doi.org/10.1145/3548608.3559245","url":null,"abstract":"In view of the current problems of time-consuming and poor effect of intelligent management and control of power material warehousing, this paper puts forward the research method of intelligent management and control platform of power material warehousing based on Web. First, combined with web technology, this paper constructs the ERP management model of power material warehousing, improves the ERP management function of power material intelligent warehousing, optimizes the information processing algorithm of power material warehousing, and optimizes the structure and function of the platform. The processing steps of the intelligent management and control platform for power material warehousing are simplified. Finally, the experiment proves that the intelligent management and control platform for power material warehousing based on Web can realize the management of massive warehousing information more quickly in the actual application process, and its running time is shortened by more than 4h, which has high practicability.","PeriodicalId":201434,"journal":{"name":"Proceedings of the 2022 2nd International Conference on Control and Intelligent Robotics","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134091277","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 traditional university financial management model has problems such as low efficiency and high cost, which cannot meet the requirements of the development trend of the current era. Major universities are exploring the reform of financial management model one after another. At present, the budgeting of colleges and universities in our country is still at a low level, and the budgeting is not detailed enough. Moreover, there is no corresponding monitoring and early warning mechanism in budget implementation, resulting in poor budget execution. In order to realize the classification and management of audit issues, this paper uses NLP, artificial intelligence, data mining technology, and financial audit theory with a cross-disciplinary thinking, and proposes a feature fusion short text classification algorithm based on BiLSTM neural network, and examines the effectiveness of the algorithm. Experimental verification. The experiment verifies the effectiveness of the feature fusion short text classification algorithm based on BiLSTM neural network, and proves the effectiveness of the intelligent financial audit system designed in this paper.
{"title":"Research on University Intelligent Financial Audit System Based on Data Mining","authors":"Y. Qin","doi":"10.1145/3548608.3559325","DOIUrl":"https://doi.org/10.1145/3548608.3559325","url":null,"abstract":"The traditional university financial management model has problems such as low efficiency and high cost, which cannot meet the requirements of the development trend of the current era. Major universities are exploring the reform of financial management model one after another. At present, the budgeting of colleges and universities in our country is still at a low level, and the budgeting is not detailed enough. Moreover, there is no corresponding monitoring and early warning mechanism in budget implementation, resulting in poor budget execution. In order to realize the classification and management of audit issues, this paper uses NLP, artificial intelligence, data mining technology, and financial audit theory with a cross-disciplinary thinking, and proposes a feature fusion short text classification algorithm based on BiLSTM neural network, and examines the effectiveness of the algorithm. Experimental verification. The experiment verifies the effectiveness of the feature fusion short text classification algorithm based on BiLSTM neural network, and proves the effectiveness of the intelligent financial audit system designed in this paper.","PeriodicalId":201434,"journal":{"name":"Proceedings of the 2022 2nd International Conference on Control and Intelligent Robotics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131059872","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 characteristic of surface pollution on insulators is the crucial factor in causing flashover. A natural pollution accumulation platform that contains porcelain, glass and double-umbrella insulators is built to study the Equivalent Salt Deposit Density (ESDD) and Non Soluble Deposit Density (NSDD) characteristics as well as particle size distribution characteristics on such insulators. The tests indicate that: The glass insulator has higher ESDD and NSDD than the porcelain insulator both on upper surface and lower surface, the double-umbrella insulator also has higher ESDD and NSDD than the porcelain insulator on the upper surface while that on the lower surface is similar. As for the pollution particle size distribution, it can be affected by the insulator's aerodynamic shape, but the influence of the insulator's material can be ignored.
{"title":"Experimental Study on the Characteristic of Insulators' Surface Pollution Distribution under Natural Pollution","authors":"Kuanghua Liu, Qiang Gao","doi":"10.1145/3548608.3559222","DOIUrl":"https://doi.org/10.1145/3548608.3559222","url":null,"abstract":"The characteristic of surface pollution on insulators is the crucial factor in causing flashover. A natural pollution accumulation platform that contains porcelain, glass and double-umbrella insulators is built to study the Equivalent Salt Deposit Density (ESDD) and Non Soluble Deposit Density (NSDD) characteristics as well as particle size distribution characteristics on such insulators. The tests indicate that: The glass insulator has higher ESDD and NSDD than the porcelain insulator both on upper surface and lower surface, the double-umbrella insulator also has higher ESDD and NSDD than the porcelain insulator on the upper surface while that on the lower surface is similar. As for the pollution particle size distribution, it can be affected by the insulator's aerodynamic shape, but the influence of the insulator's material can be ignored.","PeriodicalId":201434,"journal":{"name":"Proceedings of the 2022 2nd International Conference on Control and Intelligent Robotics","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133694358","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}
According to the migration theory of Yang Dongfang material content proposed by the author and taking material content as indicator, this article determined the transportation process of material content by ocean current, and obtained the moving trajectory of ocean current, where the ocean current was defined as Yang Dongfang Ocean Current. Taking Pb content as indicator, this article presented the migration process of Pb content in the waters of Jiaozhou Bay under the transportation of ocean current and the moving trajectory of ocean current. Based on the migration theory of Yang Dongfang material content, the results indicated that the ocean current in open sea brought high Pb content to Jiaozhou Bay and left the moving trajectory inside Jiaozhou Bay as the Pb content decreased. The author established a block diagram to elaborate it. Moreover, the results further revealed that the unit water body followed the ocean current from the mouth of the bay along the nearshore waters in the bay and then returned to the mouth of the bay in a counterclockwise direction. Then, under the combined action of ocean current and tides, the unit water body showed a zigzag-shaped movement from east to north and then to the west along the nearshore waters. The center of this bay was almost unaffected by the unit water body. The unit water body took the center of the bay as the center of the circle, and moved in a zigzag shape along the edge. Therefore, the author proposed the movement mechanism of Yang Dongfang Ocean Current, revealed the moving of Yang Dongfang Ocean Current and depicted the submarine geomorphy, such as Jiaozhou Bay. Applying the movement mechanism of Yang Dongfang Ocean Current, this article presented the moving trajectory, direction and position of Yang Dongfang Ocean Current. Similarly, in the southern hemisphere, the pathway and position of the Yang Dongfang Ocean Current remained the same while the direction of the current was opposite. A block diagram was also built to elaborate it.
{"title":"The modeling system of the Ocean Current","authors":"Dongfang Yang, Xiaoju Zhang, S. Manickam","doi":"10.1145/3548608.3559291","DOIUrl":"https://doi.org/10.1145/3548608.3559291","url":null,"abstract":"According to the migration theory of Yang Dongfang material content proposed by the author and taking material content as indicator, this article determined the transportation process of material content by ocean current, and obtained the moving trajectory of ocean current, where the ocean current was defined as Yang Dongfang Ocean Current. Taking Pb content as indicator, this article presented the migration process of Pb content in the waters of Jiaozhou Bay under the transportation of ocean current and the moving trajectory of ocean current. Based on the migration theory of Yang Dongfang material content, the results indicated that the ocean current in open sea brought high Pb content to Jiaozhou Bay and left the moving trajectory inside Jiaozhou Bay as the Pb content decreased. The author established a block diagram to elaborate it. Moreover, the results further revealed that the unit water body followed the ocean current from the mouth of the bay along the nearshore waters in the bay and then returned to the mouth of the bay in a counterclockwise direction. Then, under the combined action of ocean current and tides, the unit water body showed a zigzag-shaped movement from east to north and then to the west along the nearshore waters. The center of this bay was almost unaffected by the unit water body. The unit water body took the center of the bay as the center of the circle, and moved in a zigzag shape along the edge. Therefore, the author proposed the movement mechanism of Yang Dongfang Ocean Current, revealed the moving of Yang Dongfang Ocean Current and depicted the submarine geomorphy, such as Jiaozhou Bay. Applying the movement mechanism of Yang Dongfang Ocean Current, this article presented the moving trajectory, direction and position of Yang Dongfang Ocean Current. Similarly, in the southern hemisphere, the pathway and position of the Yang Dongfang Ocean Current remained the same while the direction of the current was opposite. A block diagram was also built to elaborate it.","PeriodicalId":201434,"journal":{"name":"Proceedings of the 2022 2nd International Conference on Control and Intelligent Robotics","volume":"167 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132201497","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}
Channel estimation is a crucial step in communication, and its result will directly affect communication effects and efficiency, especially for cell-free massive MIMO. Cell-free massive MIMO makes channel estimation more frequent, and sending a large number of pilots greatly increases resource consumption. At the same time, the scale of base station antennas is also increasing day by day. Traditional channel estimation algorithms cannot guarantee the estimation effect when the number of pilots is small. This paper proposes a method for channel estimation using the conditional generation network after denoising the pilots using the N2V algorithm. The simulation results show that there is still a good channel estimation effect when the number of pilots is small and the antenna scale is large.
{"title":"Channel Estimation for Cell-Free Massive MIMO Using Conditional GAN","authors":"Jingru Wang, Dianjun Chen, Xuebin Sun","doi":"10.1145/3548608.3559282","DOIUrl":"https://doi.org/10.1145/3548608.3559282","url":null,"abstract":"Channel estimation is a crucial step in communication, and its result will directly affect communication effects and efficiency, especially for cell-free massive MIMO. Cell-free massive MIMO makes channel estimation more frequent, and sending a large number of pilots greatly increases resource consumption. At the same time, the scale of base station antennas is also increasing day by day. Traditional channel estimation algorithms cannot guarantee the estimation effect when the number of pilots is small. This paper proposes a method for channel estimation using the conditional generation network after denoising the pilots using the N2V algorithm. The simulation results show that there is still a good channel estimation effect when the number of pilots is small and the antenna scale is large.","PeriodicalId":201434,"journal":{"name":"Proceedings of the 2022 2nd International Conference on Control and Intelligent Robotics","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115873111","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 improve the combat effectiveness in the scenario of defensing UAV swarm, and impair the control quality of UAV swarm multi-agent system, this paper proposes some guidance for electromagnetic intervention control strategy. The model of electromagnetic intervention based on probabilities is established successfully. The electromagnetic intervention effect to the UAV swarm control quality is discussed with analytical tools, such as algebraic graph theory, matrix theory, and control theory. The part of works put forward three corollaries and make some intervention strategies to the intervention side. The results of simulation confirm the three corollaries.
{"title":"Investigation on UAV swarm Defense based on electromagnetic intervention control","authors":"Mingyu Nan, Yifan Zhu, Tao Wang, Yanfeng Wang","doi":"10.1145/3548608.3561127","DOIUrl":"https://doi.org/10.1145/3548608.3561127","url":null,"abstract":"In order to improve the combat effectiveness in the scenario of defensing UAV swarm, and impair the control quality of UAV swarm multi-agent system, this paper proposes some guidance for electromagnetic intervention control strategy. The model of electromagnetic intervention based on probabilities is established successfully. The electromagnetic intervention effect to the UAV swarm control quality is discussed with analytical tools, such as algebraic graph theory, matrix theory, and control theory. The part of works put forward three corollaries and make some intervention strategies to the intervention side. The results of simulation confirm the three corollaries.","PeriodicalId":201434,"journal":{"name":"Proceedings of the 2022 2nd International Conference on Control and Intelligent Robotics","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116027257","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}
As people's awareness of sports health continues to increase, the risk of related sports injuries is also increasing. Nearly 70% of running depth enthusiasts have experienced or are suffering from running injuries, and the incidence of knee pain is about 30%. Therefore, the detection of knee joint health is of great significance. However, the traditional wearable sensor monitoring the health of the human knee joint has disadvantages such as the need for medical equipment assistance and difficulty in operation by non-medical personnel. In response to this situation, this article designed a non-contact real-time monitoring of the health of the human knee joint based on deep learning. system. The results show that the non-contact system can monitor the state of motion that is highly in line with the real situation. Comparing the evaluation effect of the traditional medical knee joint scoring scale, the non-contact system evaluation result achieved a performance with an error of 5.95%, which finally verified the practical value of the non-contact human knee joint health monitoring system.
{"title":"Research on Non-contact Monitoring Method of Human Knee Joint Movement State","authors":"Yunwei Li","doi":"10.1145/3548608.3559234","DOIUrl":"https://doi.org/10.1145/3548608.3559234","url":null,"abstract":"As people's awareness of sports health continues to increase, the risk of related sports injuries is also increasing. Nearly 70% of running depth enthusiasts have experienced or are suffering from running injuries, and the incidence of knee pain is about 30%. Therefore, the detection of knee joint health is of great significance. However, the traditional wearable sensor monitoring the health of the human knee joint has disadvantages such as the need for medical equipment assistance and difficulty in operation by non-medical personnel. In response to this situation, this article designed a non-contact real-time monitoring of the health of the human knee joint based on deep learning. system. The results show that the non-contact system can monitor the state of motion that is highly in line with the real situation. Comparing the evaluation effect of the traditional medical knee joint scoring scale, the non-contact system evaluation result achieved a performance with an error of 5.95%, which finally verified the practical value of the non-contact human knee joint health monitoring system.","PeriodicalId":201434,"journal":{"name":"Proceedings of the 2022 2nd International Conference on Control and Intelligent Robotics","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116483673","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}
As an important instrument in minimally invasive surgery, the performance of ultrasonic scalpel is decisive for surgical results and surgical safety. Firstly, the modal analysis of the original ultrasonic scalpel is carried out with the help of ANSYS Workbench finite element analysis platform, and the natural frequency and vibration mode of the ultrasonic scalpel in 40khz-70khz are obtained. According to formula C= λ f. The size of the scalpel is optimized, and the size length is optimized to be an integral multiple of the half wavelength, so that the maximum amplitude of the scalpel occurs at the knife head. Secondly, the modal analysis and harmonic response analysis of the optimized ultrasonic scalpel are carried out. The natural frequency mode, displacement amplitude and stress amplitude curves of each frequency are analyzed. Finally, the optimized scalpel size, working frequency and amplitude amplification ratio are determined. The results show that the output amplitude of the optimized scalpel head increases three times and the maximum stress point decreases to half of the original. The amplitude amplification ratio is increased from 1:2 to 1:9, which increases the working efficiency of ultrasonic scalpel.
{"title":"Optimization experiment of ultrasonic scalpel based on finite element analysis","authors":"Fangrui Li, Tongyu Wang","doi":"10.1145/3548608.3559214","DOIUrl":"https://doi.org/10.1145/3548608.3559214","url":null,"abstract":"As an important instrument in minimally invasive surgery, the performance of ultrasonic scalpel is decisive for surgical results and surgical safety. Firstly, the modal analysis of the original ultrasonic scalpel is carried out with the help of ANSYS Workbench finite element analysis platform, and the natural frequency and vibration mode of the ultrasonic scalpel in 40khz-70khz are obtained. According to formula C= λ f. The size of the scalpel is optimized, and the size length is optimized to be an integral multiple of the half wavelength, so that the maximum amplitude of the scalpel occurs at the knife head. Secondly, the modal analysis and harmonic response analysis of the optimized ultrasonic scalpel are carried out. The natural frequency mode, displacement amplitude and stress amplitude curves of each frequency are analyzed. Finally, the optimized scalpel size, working frequency and amplitude amplification ratio are determined. The results show that the output amplitude of the optimized scalpel head increases three times and the maximum stress point decreases to half of the original. The amplitude amplification ratio is increased from 1:2 to 1:9, which increases the working efficiency of ultrasonic scalpel.","PeriodicalId":201434,"journal":{"name":"Proceedings of the 2022 2nd International Conference on Control and Intelligent Robotics","volume":"134 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122064710","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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