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

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Design of a Small Self-propelled Potato Pickup Machine 小型自走式土豆采摘机的设计
Shilin Zhang, Lin Chen, Zhixin He, Lingfeng Li
{"title":"Design of a Small Self-propelled Potato Pickup Machine","authors":"Shilin Zhang, Lin Chen, Zhixin He, Lingfeng Li","doi":"10.1145/3512826.3512842","DOIUrl":"https://doi.org/10.1145/3512826.3512842","url":null,"abstract":"Abstract: In view of the situation that the potatoes need to be picked up manually in the segmented harvest, a small self-propelled potato pickup machine that can replace picking potatoes by hand is designed. In this paper, we analyze the influence of structural parameters such as the picking device and conveying device of potato pickup machine on the picking effect; then we use the DEM software to simulate the picking process and conveying process; finally, we choose the optimal structural parameters. The machine is driven by a motor, with a high pickup rate, fast operation speed, compact structure, and lightweight, which is suitable for small plots of planting in hilly areas in the southwest of China.","PeriodicalId":270295,"journal":{"name":"Proceedings of the 2022 3rd International Conference on Artificial Intelligence in Electronics Engineering","volume":"29 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":"132298662","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}
引用次数: 0
LSTM-based Modelling for Coagulant Dosage Prediction in Wastewater Treatment Plant 基于lstm的污水处理厂混凝剂投加量预测模型
Xusheng Fang, Zhengang Zhai, Renhao Xiong, Li Zhang, Bingtao Gao
{"title":"LSTM-based Modelling for Coagulant Dosage Prediction in Wastewater Treatment Plant","authors":"Xusheng Fang, Zhengang Zhai, Renhao Xiong, Li Zhang, Bingtao Gao","doi":"10.1145/3512826.3512847","DOIUrl":"https://doi.org/10.1145/3512826.3512847","url":null,"abstract":"The dosage of coagulant plays a critical role in ensuring effluent quality, however the complexity of the coagulant chemical theory and affected by many factors (turbidity, pH, conductivity, flow rate, etc.) that it is difficult to determine the optimal dosage effectively. Optimization of coagulant dosage in wastewater treatment is becoming more critical as water quality standards become increasingly stringent. In previous studies, usually build a prediction model only use current water quality parameters that the water quality parameters of previous time sequence were ignored, result in the prediction accuracy is not satisfactory. In this paper, not only current water quality parameters have been taken into account during the modeling, but also historical time-series water quality feature data also considered. For this purpose, a long short term memory (LSTM) model is applied, that is effectively solved the problem of long-term dependencies of recurrent neural network. We collected real sewage treatment plant data for experiments, thorough empirical studies based upon the dataset, and we use R2, RMSE and MAPE as evaluation metrics, experimental result demonstrate that based on LSTM algorithm model can outperform state-of-the-art prediction accuracy compared other algorithm model.","PeriodicalId":270295,"journal":{"name":"Proceedings of the 2022 3rd International Conference on Artificial Intelligence in Electronics Engineering","volume":"52 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":"128873225","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}
引用次数: 2
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