2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM)最新文献_第4页

Research on Bank Credit Risk Assessment Model based on artificial intelligence algorithm 基于人工智能算法的银行信用风险评估模型研究

2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM) Pub Date : 2022-06-01 DOI: 10.1109/ISAIAM55748.2022.00032

Shengkai Jin

{"title":"Research on Bank Credit Risk Assessment Model based on artificial intelligence algorithm","authors":"Shengkai Jin","doi":"10.1109/ISAIAM55748.2022.00032","DOIUrl":"https://doi.org/10.1109/ISAIAM55748.2022.00032","url":null,"abstract":"With the rapid development of China's economy and the generation of over-consumption concept, major banks are facing serious credit risk problems therefore, it is especially important to establish a scientific and effective risk assessment model for the healthy development of their banks. Based on artificial intelligence algorithm, this paper constructs an integrated classification model through Stacking, combined with SMOTE (Synthetic Minority Over-Sampling Technique) oversampling method, to analyze and evaluate the risk of customer credit, which can help banks to effectively identify potential credit default customers and reduce the loss of banks. The data in this paper are obtained from LendingClub. Firstly, the Stacking model integration method is used. The results show that integrated model has the characteristics of high accuracy and high robustness with the Stacking model integrated method. The accuracy score of the integrated model is 0.83, and the stability score is 1.00. At the same time, SMOTE oversampling method is used to optimize and improve the problem of unbalanced raw data, which reduces the overfitting phenomenon and enables the model to identify more defaulted customers and improve the prediction effect on a few defaulted customers.","PeriodicalId":382895,"journal":{"name":"2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124636587","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

Path Planning of Follow-up Transport Robot Based on Machine Vision 基于机器视觉的后续运输机器人路径规划

2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM) Pub Date : 2022-06-01 DOI: 10.1109/ISAIAM55748.2022.00016

Xinyi Sun, Haiyi Sun, Xinlu Wang, Ning Li

引用次数: 0

Research on the construction of virtual simulation resource system for vocational education based on deep learning 基于深度学习的职业教育虚拟仿真资源系统构建研究

2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM) Pub Date : 2022-06-01 DOI: 10.1109/ISAIAM55748.2022.00019

Xinmou Huang

引用次数: 1

Cold Chain Logistics Sterilizer Based on Plasma Technology: Flipping Mechanism and Intelligent System Design 基于等离子体技术的冷链物流消毒器:翻转机理与智能系统设计

2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM) Pub Date : 2022-06-01 DOI: 10.1109/ISAIAM55748.2022.00036

Ruobin Li, Hanqing Zhou, Junping Ji, Jiulong Li, Chang Ge

引用次数: 0

Motion Pattern Recognition of Lower Limb Exoskeleton Based on SAPSO-SVM 基于SAPSO-SVM的下肢外骨骼运动模式识别

2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM) Pub Date : 2022-06-01 DOI: 10.1109/ISAIAM55748.2022.00034

Z. Liang, Yali Liu, Qiuzhi Song, Dehao Wu

引用次数: 0

China's fight against poverty in the US Twitter perspective: A corpus-based analysis of critical discourse 美国推特视角下的中国反贫困:基于语料库的批评话语分析

2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM) Pub Date : 2022-06-01 DOI: 10.1109/ISAIAM55748.2022.00038

Xinwei Song

{"title":"China's fight against poverty in the US Twitter perspective: A corpus-based analysis of critical discourse","authors":"Xinwei Song","doi":"10.1109/ISAIAM55748.2022.00038","DOIUrl":"https://doi.org/10.1109/ISAIAM55748.2022.00038","url":null,"abstract":"Since China launched the war on poverty eradication, the fight against poverty has become an object of international attention. However, what is the image of China's poverty eradication campaign among American people on Twitter? This paper uses crawler technology to obtain data about China's poverty eradication on Twitter, constructs own “corpus”, and explores the American people's attitudes toward China's poverty eradication from an empirical perspective by using indexed rows, matching networks and other corpus analysis tools, and combining the characteristics of Twitter as an interactive and observable location. The study finds that American people's attitudes, interpretations and discourse constructions toward China's poverty eradication are positive attitudes toward China's poverty eradication efforts, considering them to be related to “rural revitalization” and “prosperity and strength”. But most of them also have negative attitudes, linking them to human rights and the China-US competition. In addition, the American people also connects China's poverty eradication efforts to India and Pakistan, reflecting the connection between the common challenges of poverty alleviation in the world.","PeriodicalId":382895,"journal":{"name":"2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132511164","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

Interactive design of intelligent gates for users' “smooth” experience 智能门的交互设计，让用户体验“顺畅”

2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM) Pub Date : 2022-06-01 DOI: 10.1109/ISAIAM55748.2022.00044

Yi Wang, Xiaoyan Wang, Yixiao Xuan, Jianghe Xu

{"title":"Interactive design of intelligent gates for users' “smooth” experience","authors":"Yi Wang, Xiaoyan Wang, Yixiao Xuan, Jianghe Xu","doi":"10.1109/ISAIAM55748.2022.00044","DOIUrl":"https://doi.org/10.1109/ISAIAM55748.2022.00044","url":null,"abstract":"The technology of smart turnstiles is gradually becoming mature. While accepting the services provided by smart turnstiles, people begin to pay more attention to the comfort of the use of turnstiles. Through the observation of user behavior, the behavior characteristics of passers-by when passing through the smart gates were observed and classified, and the user's interactive feedback requirements of the smart gates were deduced. The phenomenon of congestion in the gate passage. In order to ensure the smooth experience of the passage, the smooth experience evaluation model is introduced, and an interactive design of intelligent turnstiles oriented to the user's comfortable experience is proposed. Taking the design practice of an airport self-service security check intelligent gate as an example, the smooth experience model was applied to the gate interaction design. Conclusion It is found that the gate interaction design proposed in this paper is more in line with the operation logic of passers-by and ergonomics, which reduces the error rate of passers-by when they use the identity verification area of the airport self-service security gate to a certain extent, and improves the smooth experience of passing and traffic efficiency.","PeriodicalId":382895,"journal":{"name":"2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123663685","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

Data Modeling of Intelligent High-Voltage Switch Operating Mechanism 智能高压开关操动机构的数据建模

2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM) Pub Date : 2022-06-01 DOI: 10.1109/ISAIAM55748.2022.00027

Xiyuan Li, Yanghua Que, Siyuan Dai, Chun-Liang Lin, Xin Guan

{"title":"Data Modeling of Intelligent High-Voltage Switch Operating Mechanism","authors":"Xiyuan Li, Yanghua Que, Siyuan Dai, Chun-Liang Lin, Xin Guan","doi":"10.1109/ISAIAM55748.2022.00027","DOIUrl":"https://doi.org/10.1109/ISAIAM55748.2022.00027","url":null,"abstract":"The operating state of the high-voltage switch operating mechanism is closely related to the safety and stability of the power system. Due to problems such as poor contact and damage to components during the use of the high-voltage switch operating mechanism, various faults and accidents are often caused. The intelligent high-voltage switch highly integrates a variety of sensors in the operating mechanism box of the circuit breaker, which can easily and quickly obtain the sensing data in the operating mechanism box. In this paper, a data monitoring model is established for the actual data requirements of a large number of online monitoring to monitor the working state of the high-voltage switch operating mechanism, and an online monitoring IED model for the high-voltage switch operating mechanism is established to monitor the data contained in the logic nodes in the model. In order to realize the online fault intelligent diagnosis of the operating mechanism, this paper also combines the artificial neural network and the PID algorithm to optimize the driving motor control system of the operating mechanism to automatically complete the fault detection. In conclusion, it is hoped that monitoring equipment data and diagnosing equipment faults through the IED model will lay a solid foundation for the realization of smart grid.","PeriodicalId":382895,"journal":{"name":"2022 2nd International Symposium on Artificial Intelligence and its Application on Media (ISAIAM)","volume":"37 7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125735841","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