Pub Date : 2023-11-30DOI: 10.3390/engproc2023055033
Jen-Ying Shih, Tsai-Hsiu Lin
: In response to the rapid development of the global economy and FinTech innovation, Taiwan’s government has continuously promoted digital transformation policies for the financial industry and encouraged the industry to strengthen infrastructure constructions and upgrade innovative financial services and patents. Novel ideas are proposed to create a new situation and make banks invincible but it is questionable if such innovations necessarily bring competitiveness or business performance. To answer this question, we analyzed market competition using the PR test and data envelopment analysis (DEA) to study the operational efficiency of banks. K-means were also used to segment banks into three groups, Leader, Chaser, and Laggard. The data included financial (business performance) and patent data (innovation) of Taiwan’s banks from 2013 to 2020. The research results revealed that the market competition in the Leader group was the most intense. Quasi-public banks were relatively inefficient in creating revenue, while private banks were more efficient. The Chaser group showed the most apparent changes in operational efficiency from 2013 to 2020. The banks in the Laggard group needed to strengthen the relative efficiency of revenue, and financial innovation needed to be individualized in this competitive market group.
{"title":"Following the Leader’s Innovation or Leading Follower’s Innovation: Taiwan’s Banking Industry Analysis","authors":"Jen-Ying Shih, Tsai-Hsiu Lin","doi":"10.3390/engproc2023055033","DOIUrl":"https://doi.org/10.3390/engproc2023055033","url":null,"abstract":": In response to the rapid development of the global economy and FinTech innovation, Taiwan’s government has continuously promoted digital transformation policies for the financial industry and encouraged the industry to strengthen infrastructure constructions and upgrade innovative financial services and patents. Novel ideas are proposed to create a new situation and make banks invincible but it is questionable if such innovations necessarily bring competitiveness or business performance. To answer this question, we analyzed market competition using the PR test and data envelopment analysis (DEA) to study the operational efficiency of banks. K-means were also used to segment banks into three groups, Leader, Chaser, and Laggard. The data included financial (business performance) and patent data (innovation) of Taiwan’s banks from 2013 to 2020. The research results revealed that the market competition in the Leader group was the most intense. Quasi-public banks were relatively inefficient in creating revenue, while private banks were more efficient. The Chaser group showed the most apparent changes in operational efficiency from 2013 to 2020. The banks in the Laggard group needed to strengthen the relative efficiency of revenue, and financial innovation needed to be individualized in this competitive market group.","PeriodicalId":504392,"journal":{"name":"2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139201527","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}
Pub Date : 2023-11-30DOI: 10.3390/engproc2023055038
Kenji Sato
{"title":"Application of Geospatial Data to Architectural Design Education","authors":"Kenji Sato","doi":"10.3390/engproc2023055038","DOIUrl":"https://doi.org/10.3390/engproc2023055038","url":null,"abstract":"","PeriodicalId":504392,"journal":{"name":"2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139200236","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}
Pub Date : 2023-11-29DOI: 10.3390/engproc2023055018
Rinchen Gyeltshen, Shinichi Miyazato
{"title":"Effectiveness of Small Amount of Surface Penetrant against Chloride Ion Penetration","authors":"Rinchen Gyeltshen, Shinichi Miyazato","doi":"10.3390/engproc2023055018","DOIUrl":"https://doi.org/10.3390/engproc2023055018","url":null,"abstract":"","PeriodicalId":504392,"journal":{"name":"2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability","volume":"53 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139210757","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}
Pub Date : 2023-11-29DOI: 10.3390/engproc2023055027
Liza Lee, Han-Ju Ho
{"title":"Engagement with Music Technology in Special Educational Settings for Children with Disabilities","authors":"Liza Lee, Han-Ju Ho","doi":"10.3390/engproc2023055027","DOIUrl":"https://doi.org/10.3390/engproc2023055027","url":null,"abstract":"","PeriodicalId":504392,"journal":{"name":"2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability","volume":"76 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139212055","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}
Pub Date : 2023-11-29DOI: 10.3390/engproc2023055031
Li-Xian Chen, Shih-Wen Su, Yen-Yun Chen, Chia-Hung Liao, Shyan-Ming Yuan
{"title":"A Comparison of Online and Offline Digital Gameplay Activities in Promoting Computational Thinking in K-12 Education","authors":"Li-Xian Chen, Shih-Wen Su, Yen-Yun Chen, Chia-Hung Liao, Shyan-Ming Yuan","doi":"10.3390/engproc2023055031","DOIUrl":"https://doi.org/10.3390/engproc2023055031","url":null,"abstract":"","PeriodicalId":504392,"journal":{"name":"2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability","volume":"7 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139212567","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}
Pub Date : 2023-11-29DOI: 10.3390/engproc2023055020
Jiangjiang Yan, Ruochen Huang, Wuliang Yin
{"title":"Estimation and Implication of Time-Varying Reproduction Numbers during the COVID-19 Pandemic in the UK","authors":"Jiangjiang Yan, Ruochen Huang, Wuliang Yin","doi":"10.3390/engproc2023055020","DOIUrl":"https://doi.org/10.3390/engproc2023055020","url":null,"abstract":"","PeriodicalId":504392,"journal":{"name":"2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139210324","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}
: We examine the effects of different process parameter settings on variations in melt-filling pressure, viscosity index, and part weight based on the use of real-time pressure sensor readings of the inside of the injection melt flow path. In the experiment, widely used polypropylene materials and round-shaped molded parts are selected as the molding and study object. At the same time, pressure sensors are used at different positions to perform data acquisition to enable research into the variation process of the melt-filling pressure, allowing for a viscosity index equation to simultaneously calculate viscosity indexes and observe weight variations in the samples. The obtained data will be a basis for setting up smart manufacturing in the future. The research showed the following: (i) the installation of the real-time pressure sensing modules allowed the variation process of the melt-filling pressure to be monitored along a path from the injection barrel to the mold cavity; (ii) the viscosity index was subject to changing the melt temperature, the injection speed, and the V/P switch-over point of the screw; and (iii) the melt temperature change had a considerable impact on part weight and changes in the injection speed had a relatively significant impact on viscosity variation.
{"title":"Prediction and Property Characterization of Injection Machining Parts Using Analysis for Relationship between Melt-Filling Pressure Measurement and Calculation Viscosity Index","authors":"Chin-Chun Lee, Hsin‐Shu Peng, Po-Wei Huang, Kai-Fu Liew, Dian-Ru Wu, Wei-Jie Su","doi":"10.3390/engproc2023055025","DOIUrl":"https://doi.org/10.3390/engproc2023055025","url":null,"abstract":": We examine the effects of different process parameter settings on variations in melt-filling pressure, viscosity index, and part weight based on the use of real-time pressure sensor readings of the inside of the injection melt flow path. In the experiment, widely used polypropylene materials and round-shaped molded parts are selected as the molding and study object. At the same time, pressure sensors are used at different positions to perform data acquisition to enable research into the variation process of the melt-filling pressure, allowing for a viscosity index equation to simultaneously calculate viscosity indexes and observe weight variations in the samples. The obtained data will be a basis for setting up smart manufacturing in the future. The research showed the following: (i) the installation of the real-time pressure sensing modules allowed the variation process of the melt-filling pressure to be monitored along a path from the injection barrel to the mold cavity; (ii) the viscosity index was subject to changing the melt temperature, the injection speed, and the V/P switch-over point of the screw; and (iii) the melt temperature change had a considerable impact on part weight and changes in the injection speed had a relatively significant impact on viscosity variation.","PeriodicalId":504392,"journal":{"name":"2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139214648","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}
Pub Date : 2023-11-29DOI: 10.3390/engproc2023055028
Yu-Hsuan Huang, Chien-Hsiung Chen, Yo-Wen Liang
: The surge in e-commerce and the COVID-19 pandemic has dramatically driven the demand for home appliances. However, this surge has also resulted in a proportional increase in electrical accidents. Furthermore, the current product manual does not provide users with intuitive and timely information. Virtual reality (VR) can deliver effective learning information with its exceptional simulation capabilities and immersive content. Thus, we explored the application of VR to enhance home appliances’ display and user experience for user demand to deliver the manuals on the appliances and promote safe uses. A purposive sampling technique was employed, and 12 target users participated in the in-depth interviews. In the study, the VR application of the home appliance product experience and learning showed positive outcomes. The results can be used as a reference for future design. According to the users’ feedback, we summarized and proposed eight future design directions for enhancing the virtual home appliance experience.
{"title":"Research on User Experience and Needs of Virtual Reality Learning Home Appliances","authors":"Yu-Hsuan Huang, Chien-Hsiung Chen, Yo-Wen Liang","doi":"10.3390/engproc2023055028","DOIUrl":"https://doi.org/10.3390/engproc2023055028","url":null,"abstract":": The surge in e-commerce and the COVID-19 pandemic has dramatically driven the demand for home appliances. However, this surge has also resulted in a proportional increase in electrical accidents. Furthermore, the current product manual does not provide users with intuitive and timely information. Virtual reality (VR) can deliver effective learning information with its exceptional simulation capabilities and immersive content. Thus, we explored the application of VR to enhance home appliances’ display and user experience for user demand to deliver the manuals on the appliances and promote safe uses. A purposive sampling technique was employed, and 12 target users participated in the in-depth interviews. In the study, the VR application of the home appliance product experience and learning showed positive outcomes. The results can be used as a reference for future design. According to the users’ feedback, we summarized and proposed eight future design directions for enhancing the virtual home appliance experience.","PeriodicalId":504392,"journal":{"name":"2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139211723","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}
Pub Date : 2023-11-29DOI: 10.3390/engproc2023055029
Quy Tan Ha, T. Thi, Ngoc Tuyet Le Nguyen, Hoang Nhut Huynh, A. T. Tran, Hong Duyen Trinh Tran, Trung Nghia Tran
: As an alternate non-destructive analytical modality for monitoring from pre-harvest to post-storage, optical imaging with near-infrared wavelength is used to forecast the quality of numerous fruits. In the near-infrared spectrum, bio-chemicals are identified and measured with light by penetrating deeply into food components. In addition, apples and other fruits with a high water content benefit from water absorption capabilities. The optical approaches are efficient, inexpensive, and environmentally beneficial. This study is performed to examine the setup of reflection imaging to pick the near-infrared wavelength and optimize the distance between the detector and the light source. Molecular Optical Simulation Environment (MOSE) and Monte Carlo multi-layered programs (MCML) were used to simulate the light propagation in a model of apple tissue to select the appropriate wavelength for evaluating food quality in experiments and optimize the position of the reflected signal receiver. As a consequence, the 700–900 nm wavelength has great promise for use in assessing food quality, particularly apple quality. One centimeter is the optimal distance between the detector and the light source. The data may be used to organize an experiment and create an evaluation tool for determining the quality of fruits using optical methods, particularly apples.
{"title":"Near-Infrared Wavelength Selection and Optimizing Detector Location for Apple Quality Assessment Using Molecular Optical Simulation Environment (MOSE) Software","authors":"Quy Tan Ha, T. Thi, Ngoc Tuyet Le Nguyen, Hoang Nhut Huynh, A. T. Tran, Hong Duyen Trinh Tran, Trung Nghia Tran","doi":"10.3390/engproc2023055029","DOIUrl":"https://doi.org/10.3390/engproc2023055029","url":null,"abstract":": As an alternate non-destructive analytical modality for monitoring from pre-harvest to post-storage, optical imaging with near-infrared wavelength is used to forecast the quality of numerous fruits. In the near-infrared spectrum, bio-chemicals are identified and measured with light by penetrating deeply into food components. In addition, apples and other fruits with a high water content benefit from water absorption capabilities. The optical approaches are efficient, inexpensive, and environmentally beneficial. This study is performed to examine the setup of reflection imaging to pick the near-infrared wavelength and optimize the distance between the detector and the light source. Molecular Optical Simulation Environment (MOSE) and Monte Carlo multi-layered programs (MCML) were used to simulate the light propagation in a model of apple tissue to select the appropriate wavelength for evaluating food quality in experiments and optimize the position of the reflected signal receiver. As a consequence, the 700–900 nm wavelength has great promise for use in assessing food quality, particularly apple quality. One centimeter is the optimal distance between the detector and the light source. The data may be used to organize an experiment and create an evaluation tool for determining the quality of fruits using optical methods, particularly apples.","PeriodicalId":504392,"journal":{"name":"2023 IEEE 5th Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability","volume":"21 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139210247","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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