2021 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA)最新文献_第2页

Research on Lane Change Strategy considering Driver’s Personalized Driving Behavior 考虑驾驶员个性化驾驶行为的变道策略研究

2021 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA) Pub Date : 2021-05-01 DOI: 10.1109/AIEA53260.2021.00074

Yi Wang, Bo Deng, Yang Ou, Zhe Li, Jie Fan

引用次数: 1

A Multi-station Integration Scheduling Algorithm based on Improved Particle Swarm Optimization 基于改进粒子群优化的多工位集成调度算法

2021 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA) Pub Date : 2021-05-01 DOI: 10.1109/AIEA53260.2021.00055

Liangliang Zhu, Chupeng Xiao, Jiaji Liu, Meng Yu, Chunyan Zhang, S. Bian

引用次数: 0

On the influence of AI technology on accounting industry and its Countermeasures 人工智能技术对会计行业的影响及对策

2021 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA) Pub Date : 2021-05-01 DOI: 10.1109/AIEA53260.2021.00053

Shuyao Guo

引用次数: 0

Novel Reducts in Pythagorean Fuzzy β-covering Approximation Spaces 毕达哥拉斯模糊β覆盖近似空间中的新约简

2021 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA) Pub Date : 2021-05-01 DOI: 10.1109/AIEA53260.2021.00033

Zaibin Chang, Junchao Wei, Xuezhen Dai

引用次数: 0

Preparation of hydrochlorothiazide tablets for 3D printing and effects of adhesives on the printability of printed tablets 3D打印用氢氯噻嗪片的制备及胶粘剂对打印片可打印性的影响

2021 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA) Pub Date : 2021-05-01 DOI: 10.1109/aiea53260.2021.00026

Jiaxin Zhou

{"title":"Preparation of hydrochlorothiazide tablets for 3D printing and effects of adhesives on the printability of printed tablets","authors":"Jiaxin Zhou","doi":"10.1109/aiea53260.2021.00026","DOIUrl":"https://doi.org/10.1109/aiea53260.2021.00026","url":null,"abstract":"Purpose: This study aims to explore the influence of binders on the quality of three-dimensional (3D)-printed tablets using extrusion-based freeforming technology and develop tablets containing 10 mg of the active pharmaceutical ingredient hydrochlorothiazide (HCT).Method: Six binders were examined by charactering excipient tablets, including their appearance, diameter, thickness, hardness, weight, and density. Tablets containing 10 mg HCT and a suitable binder were printed, and the printing paste containing HCT was tested. The mass variation, drug content and content uniformity, drug disintegration time, in vitro dissolution, and stability of printed HCT tablets were investigated.Results: Binders directly influenced the printability of the printing paste and the characterization of 3D-printed tablets. Hydroxypropyl methylcellulose at 8 % concentration was better than other binders when excipient tablets were prepared by 3D printing. The drug content of 3D-printed 10 mg HCT tablets was 98.69 % ± 1.80 % of the target dose, the drug content uniformity was 5.27. The drug was stable after one month when stored at 25°C±2 °C with 60 % ± 10 % relative humidity.Conclusions: Tablets with accurate dosage can be prepared using 3D printing technology. Binders affected the quality of 3D- printed tablets by influencing the properties of the printing paste.","PeriodicalId":223292,"journal":{"name":"2021 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125811360","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

Transmission method of e-ticket based on RFSIM 基于RFSIM的电子客票传输方法

2021 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA) Pub Date : 2021-05-01 DOI: 10.1109/AIEA53260.2021.00035

Qinghua Wang, Renxuan Fu, Yanhua Hu, Xinzhou Ma

引用次数: 0

Method for Detecting Water Content of Comb-shaped Capacitor Electrode Coating 梳状电容器电极镀层含水量的检测方法

2021 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA) Pub Date : 2021-05-01 DOI: 10.1109/AIEA53260.2021.00046

Xiangming Hu, A. Zhang, Junqin Wang

{"title":"Method for Detecting Water Content of Comb-shaped Capacitor Electrode Coating","authors":"Xiangming Hu, A. Zhang, Junqin Wang","doi":"10.1109/AIEA53260.2021.00046","DOIUrl":"https://doi.org/10.1109/AIEA53260.2021.00046","url":null,"abstract":"Rapid and non-destructive testing method carries great significance for the detection of water content in electrode coating. Based on the planar comb capacitance method, this paper develops a water content detection capacitance sensor for comb-shaped electrode coating, analyzes the detection structure and working principle of comb-shaped capacitance sensor, uses MAXWELL software to simulate the actual conditions, and finally determines the basic parameters of moisture sensor for comb-shaped capacitance electrode coating. By measuring the coating water content of low-hydrogen alkaline electrode J707 with two different sizes, the correlation between the capacitance value of the comb-shaped capacitance sensor and the coating water content is studied. The results show that the theoretical analysis is in good agreement with the results measured by the comb-shaped capacitance sensor; when the coating water content is less than 2.3%, coating water content presents a relatively good linear relationship with the capacitance value of the comb-shaped sensor. It is feasible to determine the water content of the electrode coating by detecting capacitance value of the electrode coating, and the sensor detection accuracy and error meet the requirements of engineering applications.","PeriodicalId":223292,"journal":{"name":"2021 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129418787","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

Real-time modeling of variable bus load structure based on wind power permeability 基于风电透气性的变负荷结构实时建模

2021 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA) Pub Date : 2021-05-01 DOI: 10.1109/AIEA53260.2021.00050

Tongtong Yan, Yuxin Zhao

{"title":"Real-time modeling of variable bus load structure based on wind power permeability","authors":"Tongtong Yan, Yuxin Zhao","doi":"10.1109/AIEA53260.2021.00050","DOIUrl":"https://doi.org/10.1109/AIEA53260.2021.00050","url":null,"abstract":"This paper focuses on the influence of wind power permeability on the accuracy of bus load model and the real-time modeling of variable bus load structure. Firstly, a generalized comprehensive load model including doubly-fed wind turbine (DFIG) is established under the daily load curve of the bus with wind power connected to the substation, and the small disturbance parameter identification method is used to identify the parameters of the model; Based on the model accuracy evaluation method based on the similarity of values and trends, the results are evaluated, the wind power permeability is introduced, and the relationship between the wind power permeability and the model accuracy is described; the wind power permeability value at the point where the accuracy of the model drops sharply. As a demarcation point, two load models under different wind power penetration rates are established. One is the generalized load model that takes into account the connection of wind turbines, and the other is the traditional load model that ignores the connection of wind turbines; Continuous parameter identification of the variable structure load model under the same daily load curve again; simulation results show that the relationship between wind power permeability and model accuracy is generally inversely proportional, and the traditional load model can still describe the bus well even when the wind power permeability is low Load characteristics.","PeriodicalId":223292,"journal":{"name":"2021 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123466873","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

Research on Sentiment Analysis and Entity Recognition of COVID-19 Based on Multi-task Sentiment Analysis Model in Artificial Intelligence 基于人工智能多任务情感分析模型的COVID-19情感分析与实体识别研究

2021 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA) Pub Date : 2021-05-01 DOI: 10.1109/AIEA53260.2021.00054

Xudong Zhang, Ziping Xu

{"title":"Research on Sentiment Analysis and Entity Recognition of COVID-19 Based on Multi-task Sentiment Analysis Model in Artificial Intelligence","authors":"Xudong Zhang, Ziping Xu","doi":"10.1109/AIEA53260.2021.00054","DOIUrl":"https://doi.org/10.1109/AIEA53260.2021.00054","url":null,"abstract":"Text sentiment analysis is an important branch of artificial intelligence. After the outbreak of COVID-19, a lot of highly emotional texts were flooded on the Internet. In the task of entity-level sentiment analysis for major public health events, there is often a lack of large-scale labeled corpus and a mature model that can effectively deal with medical and health texts. A multi-task sentiment analysis model based on BERT was proposed, which combined sentiment analysis and entity recognition. This model is used to extract sentiment information of Weibo comments related to COVID-19 and judge whether the entities in the text are targeted by emotions. The composition layer was constructed by combining the emotional information and entity information, and the loss function was designed to integrate the multi-task into the same model. More than 5000 Weibo text data about COVID-19 were preprocessed and annotated to form an entity-level corpus. Finally, several common methods were used to compare with the proposed method. Several comparison indexes were used to evaluate the model. The experimental results showed that the proposed model had better overall performance than other models.","PeriodicalId":223292,"journal":{"name":"2021 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121345373","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

Design and Manufacture for Braking Testing Device Based on Servo Control System 基于伺服控制系统的制动试验装置的设计与制造

2021 International Conference on Artificial Intelligence and Electromechanical Automation (AIEA) Pub Date : 2021-05-01 DOI: 10.1109/aiea53260.2021.00008

Zhang Dong, Xu Xiaoguang, Zhou Yi, Deng Shaojun

引用次数: 0