Proceedings of the 2022 3rd International Conference on Artificial Intelligence in Electronics Engineering最新文献

{"title":"Research on the Application of Concurrent Design Method to Develop Smart Vehicles","authors":"Wei Shu, Fuliang Sun, Yueen Li","doi":"10.1145/3512826.3512841","DOIUrl":"https://doi.org/10.1145/3512826.3512841","url":null,"abstract":"Facing the design and development of complex products, the traditional design innovation model cannot complete the design problem well. The main reason is that there are many factors in the design process, but the process design process cannot solve the intricate problems. In this case, need to rely on the mode of concurrent design and development. Design innovation is not only a process of creating new things, but also a process of reducing design risks in the face of the market. This study is an application research of cross-functional groups in the process of complex product design, the main method on using examples of smart wheelchair development. As a result, the development of smart wheelchair products involves many elements. By adopting a cross-functional group approach, various elements can be taken into account to the utmost extent, and the design theme is very concentrated. This method can accelerate the product development process and reduce product development risks. This method is suitable for enterprise applications and it is an effective complement to traditional design methods.","PeriodicalId":270295,"journal":{"name":"Proceedings of the 2022 3rd International Conference on Artificial Intelligence in Electronics Engineering","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125941931","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}

{"title":"Current Study and Innovative Ideas of Online Monitoring Technology of Tool Wear","authors":"Runping Shi, He Huang","doi":"10.1145/3512826.3512845","DOIUrl":"https://doi.org/10.1145/3512826.3512845","url":null,"abstract":"Abstract: Online tool monitoring is an inevitable requirement for the development of intelligent manufacturing systems. The existing problem of the non-image tool wear direct measurement method is Low accuracy and low efficiency. The common problem of the non-image tool wear indirect monitoring method is the complexity, inconvenience and narrow application. The image monitoring method cannot adapt to the harsh environment of the machining site, and there is also the problem of the organic combination of machine vision systems and machine tools. A new visual measurement system can be constructed by combining two types of digital image-based tool wear monitoring methods, replacing the flank image with the cutting edge contour, and replacing the texture information of machining surface with the roughness of that. With the theoretically feasible and mature hardware technology, it can realize efficient and accurate on-line monitoring of tools at the machining site.","PeriodicalId":270295,"journal":{"name":"Proceedings of the 2022 3rd International Conference on Artificial Intelligence in Electronics Engineering","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126256401","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}

{"title":"Sentiment Analysis with Deep Learning Models: A Comparative Study on a Decade of Sinhala Language Facebook Data","authors":"Gihan Weeraprameshwara, Vihanga Jayawickrama, Nisansa de Silva, Yudhanjaya Wijeratne","doi":"10.1145/3512826.3512829","DOIUrl":"https://doi.org/10.1145/3512826.3512829","url":null,"abstract":"The relationship between Facebook posts and the corresponding reaction feature is an interesting subject to explore and understand. To achieve this end, we test state-of-the-art Sinhala sentiment analysis models against a data set containing a decade worth of Sinhala posts with millions of reactions. For the purpose of establishing benchmarks and with the goal of identifying the best model for Sinhala sentiment analysis, we also test, on the same data set configuration, other deep learning models catered for sentiment analysis. In this study we report that the 3 layer Bidirectional LSTM model achieves an F1 score of 84.58% for Sinhala sentiment analysis, surpassing the current state-of-the-art model; Capsule B, which only manages to get an F1 score of 82.04%. Further, since all the deep learning models show F1 scores above 75% we conclude that it is safe to claim that Facebook reactions are suitable to predict the sentiment of a text.","PeriodicalId":270295,"journal":{"name":"Proceedings of the 2022 3rd International Conference on Artificial Intelligence in Electronics Engineering","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126146049","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}

{"title":"The Front Warehouse Model of the \"Missfresh\" E-commerce Company Under the Background of Artificial Intelligence","authors":"Xudong Wu","doi":"10.1145/3512826.3512834","DOIUrl":"https://doi.org/10.1145/3512826.3512834","url":null,"abstract":"Abstract: With the development of cutting-edge technologies such as artificial intelligence, Internet of things, big data and cloud computing, the fresh e-commerce and logistics distribution industry will usher in a comprehensive intelligent era. The fresh e-commerce market based on the Internet has developed unprecedentedly. Facing the pain points of easy loss of fresh products, low degree of standardization and fierce competition, the \"Missfresh\" company adopts the innovative logistics mode of front warehouse. It uses artificial intelligence technology to carry out big data analysis in combination with customer demand, consumption habits and transportation line conditions, which is helpful to rationalize the location of front warehouse and improve efficiency. Through the SWOT method, this paper analyzes the mode of front warehouse. Then carry out quantitative analysis through analytic hierarchy process. Finally, it puts forward the countermeasures to optimize the front warehouse mode.","PeriodicalId":270295,"journal":{"name":"Proceedings of the 2022 3rd International Conference on Artificial Intelligence in Electronics Engineering","volume":"151 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123767804","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}

{"title":"Research on the Application of Fall Detection Technology Based on the Security Field of the Smart Care for the Elderly","authors":"Zhiwen Chen, Yong Ji, Yuanhong Ren","doi":"10.1145/3512826.3512832","DOIUrl":"https://doi.org/10.1145/3512826.3512832","url":null,"abstract":"Abstract. The security of the elderly in an aging society has become a social problem attracting much attention, among which the problem of secondary injury caused by the fall has attracted wide concern of researchers. The application of fall detection combined with artificial intelligence technology has become an important application in the security field of smart care for the elderly. After analyzing and judging the human body features, this paper found out that the combination of human skeleton and fall detection technology could be used to identify the fall behavior and link it with the alarm system to solve the security problem of smart care for the elderly. The experimental results showed that the recognition rate of fall detection was increased by 2% after adding optimization of genetic algorithm factors and contrast calculation of prediction frame length in the process of human feature target detection.","PeriodicalId":270295,"journal":{"name":"Proceedings of the 2022 3rd International Conference on Artificial Intelligence in Electronics Engineering","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116692899","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}

{"title":"Design and Test of a Tractor-Type Cotton Stalk Returning to Field and Residual Film Recovery Combined Operation Machine","authors":"Yongxin Jiang, Shulin Hou, Li Zhang, Xuan Liu","doi":"10.1145/3512826.3512837","DOIUrl":"https://doi.org/10.1145/3512826.3512837","url":null,"abstract":"In order to improve the quality and efficiency of the cotton industry and control the serious problem of residual film pollution in cotton fields, it is imperative to carry out mechanized residual film recovery. However, there are many problems with residual film recovery equipment. Among them, the most important solution is to solve the low rate of residual film pick-up and film rod winding operation. Machine operation problems such as low efficiency. This paper studies and designs the 4JSM-2.1 cotton straw returning to the field and residual film recovery combined operation machine. The key working parts of the machine are the post-throwing straw crushing part, the telescopic arc-shaped tooth residual film cleaning roller and the film unloading roller. The post-throwing straw returning method is used during operation to make the surface to be collected as clean as possible. Solve the problem of film rod winding, and then pick up the mulch film through the residual film cleaning roller, and the film unloading device will rotate the mulch film on the roller to the film collecting box. The pick-up rate of residual film is the main index to evaluate the performance of the combined operation machine for straw returning to the field and residual film recovery. The field test is carried out by using the orthogonal test analysis method based on the operating speed of the machine, the rotating speed of the residual film cleaning drum and the depth of the ripper teeth. Analyze the influence of the ratio of different parameters on the pick-up rate of the residual film, obtain the significance of the influence of each factor and the order of priority, and obtain the optimal level combination, so as to obtain the best working parameter ratio relationship of the machine, that is, the residual film The speed of the film cleaning drum is 57r/min, the working speed of the machine is 6km/h, and the pick-up rate of the residual film reaches 87% when the soil loosening tooth enters the soil depth of 50mm. It reaches the design value of the machine and the national standard (80%), which is better than the existing straw returning to the field and the official measurement of the residual film recovery combined operation machine has increased by 4%, verifying that the machine can meet the requirements of residual film recovery operation and can be used in actual production.","PeriodicalId":270295,"journal":{"name":"Proceedings of the 2022 3rd International Conference on Artificial Intelligence in Electronics Engineering","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116075852","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}

{"title":"A Novel Semismooth Newton Algorithm for PCA-Twin Support Vector Machine","authors":"Mingzhu Cui, L. Fan","doi":"10.1145/3512826.3512828","DOIUrl":"https://doi.org/10.1145/3512826.3512828","url":null,"abstract":"TWSVM is an algorithm model with good classification performance in machine learning. By finding two non-parallel hyperplanes, the model makes any hyperplane as close as possible to one kind of data and as far as possible to the other kind of data. In order to alleviate the influence of quadratic coefficient on the operation time during iteration, PCA dimensionality reduction algorithm is added in this paper. The semismooth newton algorithm is applied to solve dimensionality reduction L2-CSVM and L2-TWSVM. The results show that the proposed algorithm can not only significantly reduce the computational complexity, but also improve the training accuracy.","PeriodicalId":270295,"journal":{"name":"Proceedings of the 2022 3rd International Conference on Artificial Intelligence in Electronics Engineering","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122759962","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}

{"title":"Mine drilling robot with remote control and self-balance","authors":"Shenmin Zhang","doi":"10.1145/3512826.3512831","DOIUrl":"https://doi.org/10.1145/3512826.3512831","url":null,"abstract":"Gas Outburst has always been one of the main factors causing major safety accidents in coal mines, seriously threatening the life and safety of construction personnel and greatly reducing the production efficiency of coal mines. In order to solve the above problems, based on the size of underground tunnel, the intelligent anti-jamming coal mine drilling robot puts forward an idea for unloading gas technology of coal mine through its innovative communication mode, ingenious self-balance Algorithm and intelligent anti-jamming system. In this project, a mine drilling robot with remote control and self-balance is designed. The robot uses crawler chassis to realize remote control by means of Mesh Network Remote Control, esp8266WiFi communication module and 2.4G communication module, the machine body of the drilling robot can be levelled by the self-balance system, and the special anti-sticking system of the product can solve the common sticking problems in the drilling process and ensure the smooth unloading of gas in the drilling. In the control aspect, the drilling robot chassis has the infrared ranging module, may unify the special self-balance algorithm to carry on the adjustment to the electric push rod around, causes the robot to maintain the stable state when the work; The anti-sticking system adopts the impedance control method and PID algorithm to control the feed mechanism and the rotary mechanism to solve the problem of sticking in the drilling construction. The robot can simulate all construction procedures of drilling, reduce the labor intensity of operators, improve the safety of drilling, and lay a solid foundation for further industrialization of drilling robot.","PeriodicalId":270295,"journal":{"name":"Proceedings of the 2022 3rd International Conference on Artificial Intelligence in Electronics Engineering","volume":"202 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133575699","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}

{"title":"Artificial Intelligence and the Evolution of Global Value Chains in the Context of Intelligent Manufacturing","authors":"Sheng Liu, Xiuying Chen, Yiting Chen","doi":"10.1145/3512826.3512833","DOIUrl":"https://doi.org/10.1145/3512826.3512833","url":null,"abstract":"Abstract. With the accelerated integration of artificial intelligence technology in the intelligent manufacturing process and the international production division networks, its impact on the evolution of the global value chain needs further in-depth study. This paper examines the effects, heterogeneity and mechanism of the artificial intelligence on the dynamic evolution of global value chains. The study found that the development of artificial intelligence is conducive to promoting the upgrading of the division of labor in the global value chain, and the robustness test also confirms this finding. This role is more prominent in the samples of developed economies. Furthermore, artificial intelligence technology can promote the global value chain by improving the human capital accumulation and strengthening innovation capabilities. In the context of new infrastructure construction and digital economy transformation, this article provides implications for deepening the integration of innovation chain and industrial chain, and promoting high-quality development with the new generation of information technologies.","PeriodicalId":270295,"journal":{"name":"Proceedings of the 2022 3rd International Conference on Artificial Intelligence in Electronics Engineering","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125546678","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}

{"title":"Design and Test of Potato Soil Separation Device Based on Potato Harvester","authors":"X. Feng, Lin Chen, Mengting Li, J. Xiang","doi":"10.1145/3512826.3512843","DOIUrl":"https://doi.org/10.1145/3512826.3512843","url":null,"abstract":"Abstract: In order to solve the problem of poor separation effect of soil and potato during mechanical harvest of potato in sticky soil, a potato soil separation device with lateral laying of potato was designed. The amplitude of shaking wheel, linear velocity of lifting chain and length of lifting chain were used as test factors, and the rate of potato damage and the effect of clay separation were used as test indexes to conduct interactive tests. The test results show that the length of one-stage lifting chain is 2.9-3.8 m, the one-stage vibrator is 26-46 mm, the speed of one-stage lifting chain is 1.2-1.75 m/s, and the length of two-stage lifting chain is 2-2.5 m. At this time, the rate of damaging potato is the lowest, the rate of damaging potato is 1.2-1.5%, and the separation effect range is 97.3%-97.8%. The rate of damaging potato is lower than the industry standard and meets the operation requirements.","PeriodicalId":270295,"journal":{"name":"Proceedings of the 2022 3rd International Conference on Artificial Intelligence in Electronics Engineering","volume":" 17","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120830015","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}