Pub Date : 2023-03-22DOI: 10.1109/ECTIDAMTNCON57770.2023.10139336
Die Hu, Danaitun Pongpatcharatrontep, Somhatai Timsard, Achara Khamaksorn
The widespread usage of the Internet and the abrupt outbreak of the COVID-19 pandemic have compelled higher education institutes (HEIs) worldwide to shift their academic and administrative affairs online. These unprecedented changes have caused issues in relation to trust, identity authentication, and stakeholder engagement that cripple HEIs' effective digitalisation of educational practices. Additionally, the ecosystem of HEIs has become more complex because it involves various heterogeneous information systems and the diverse demands of decentralised stakeholders, such as lecturers, students, and alumni. To address these emerging problems, blockchain has become a potentially disruptive technology that can facilitate practical innovation and provide opportunities for the re-engineering of traditional HEIs. Therefore, the aim of this study is to consolidate the fragmented knowledge of blockchain applications in higher education based on the current literature of related research domains, blockchain benefits, and additional challenges for future studies. The paper consists of a systematic literature review following the PRISMA guidelines and an analysis of 79 peer-reviewed articles published between January 2018 and December 2022 by making an extensive literature search of Scopus, Taylor and Francis Online, and Web of Science databases. The results illustrate that blockchain is being explored and utilised to create new interventions to promote the sharing, securing, and management of data and knowledge and to enhance the coordination and trust between internal and external stakeholders of HEIs. This paper contributes to the stimulation of the awareness and interest of researchers and practitioners to leverage blockchain technology in their future work in order to facilitate the digital transformation of higher education.
互联网的广泛使用和新冠肺炎疫情的突然爆发，迫使世界各地的高等教育机构(HEIs)将学术和行政事务转移到网上。这些前所未有的变化引发了与信任、身份认证和利益相关者参与相关的问题，削弱了高等教育机构对教育实践的有效数字化。此外，高等教育的生态系统变得更加复杂，因为它涉及各种异构的信息系统，以及分散的利益相关者(如讲师、学生和校友)的不同需求。为了解决这些新出现的问题，区块链已成为一项潜在的颠覆性技术，可以促进实际创新，并为传统高等教育机构的重新设计提供机会。因此，本研究的目的是根据目前相关研究领域的文献，区块链的好处以及未来研究的其他挑战，巩固区块链在高等教育中应用的碎片化知识。该论文根据PRISMA指南进行了系统的文献综述，并通过对Scopus、Taylor and Francis Online和Web of Science数据库进行了广泛的文献检索，分析了2018年1月至2022年12月期间发表的79篇同行评议文章。结果表明，区块链正在被探索和用于创建新的干预措施，以促进数据和知识的共享、保护和管理，并加强高等教育机构内部和外部利益相关者之间的协调和信任。本文有助于激发研究人员和从业者在未来工作中利用区块链技术的意识和兴趣，以促进高等教育的数字化转型。
{"title":"Blockchain Applications in Higher Education: A Systematic Literature Review","authors":"Die Hu, Danaitun Pongpatcharatrontep, Somhatai Timsard, Achara Khamaksorn","doi":"10.1109/ECTIDAMTNCON57770.2023.10139336","DOIUrl":"https://doi.org/10.1109/ECTIDAMTNCON57770.2023.10139336","url":null,"abstract":"The widespread usage of the Internet and the abrupt outbreak of the COVID-19 pandemic have compelled higher education institutes (HEIs) worldwide to shift their academic and administrative affairs online. These unprecedented changes have caused issues in relation to trust, identity authentication, and stakeholder engagement that cripple HEIs' effective digitalisation of educational practices. Additionally, the ecosystem of HEIs has become more complex because it involves various heterogeneous information systems and the diverse demands of decentralised stakeholders, such as lecturers, students, and alumni. To address these emerging problems, blockchain has become a potentially disruptive technology that can facilitate practical innovation and provide opportunities for the re-engineering of traditional HEIs. Therefore, the aim of this study is to consolidate the fragmented knowledge of blockchain applications in higher education based on the current literature of related research domains, blockchain benefits, and additional challenges for future studies. The paper consists of a systematic literature review following the PRISMA guidelines and an analysis of 79 peer-reviewed articles published between January 2018 and December 2022 by making an extensive literature search of Scopus, Taylor and Francis Online, and Web of Science databases. The results illustrate that blockchain is being explored and utilised to create new interventions to promote the sharing, securing, and management of data and knowledge and to enhance the coordination and trust between internal and external stakeholders of HEIs. This paper contributes to the stimulation of the awareness and interest of researchers and practitioners to leverage blockchain technology in their future work in order to facilitate the digital transformation of higher education.","PeriodicalId":38808,"journal":{"name":"Transactions on Electrical Engineering, Electronics, and Communications","volume":"19 1","pages":"188-193"},"PeriodicalIF":0.0,"publicationDate":"2023-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74012377","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}
It is well known that art and ancient artifacts play a part in creating inspiration and ideas to create inspiration and to continue to develop knowledge of art, including concepts in the perspective of the visual arts. This is mainly due to the visual structure that people can generally see from the image displayed or appearance, whether it's structures, statues, sculptures, workpieces, or various other forms. The uses and benefits of technology in relation to the study of ancient artifacts, art, or buildings are many. There are many tools and technologies that come to help with the study, recording, research, or extension of the concept and origin of past art objects. In a variety of steps and processes, a variety of technologies have helped to create benefits in a variety of steps and processes through the techniques of computer programs or processing from a variety of tools. There are steps that give rise to the appearance that is based on the original structure, like the process of creating 3D structures using the process of photogrammetry. It is a technological process that brings a variety of images into the processing of shapes, colors, light, and position and creates a structure according to real objects. Its unique feature is the appearance of millions of point-colored specks that form its structure. It is a feature derived from the digital process and from real historical works that creates works that will inspire the viewer in another way derived from ancient art that is conveyed through the style of digital art. In addition, the application of broadcasting and presenting with a new form of technology, especially the use of virtual reality (V.R.) media tools for the transmission of work, creates a dimension in how to present work to people in a spectacular way with the characteristics and strengths of V.R.. is the creation of a link between users and media to experience the same virtual world. Therefore, bringing such point cloud work to the audience is another way of transferring digital technology, art, and history together. It is conveyed from a different perspective, which helps to increase the perception of value and access to the aesthetics and beauty of this valuable piece.
{"title":"Learning to use of the structure of base 3d structures and point cloud structures from ancient artifact constructions in visual arts experience via virtual reality tool","authors":"Jirawat Sookkaew, Apiwat Puntatong, Wisoot Kaenmueang","doi":"10.1109/ECTIDAMTNCON57770.2023.10138937","DOIUrl":"https://doi.org/10.1109/ECTIDAMTNCON57770.2023.10138937","url":null,"abstract":"It is well known that art and ancient artifacts play a part in creating inspiration and ideas to create inspiration and to continue to develop knowledge of art, including concepts in the perspective of the visual arts. This is mainly due to the visual structure that people can generally see from the image displayed or appearance, whether it's structures, statues, sculptures, workpieces, or various other forms. The uses and benefits of technology in relation to the study of ancient artifacts, art, or buildings are many. There are many tools and technologies that come to help with the study, recording, research, or extension of the concept and origin of past art objects. In a variety of steps and processes, a variety of technologies have helped to create benefits in a variety of steps and processes through the techniques of computer programs or processing from a variety of tools. There are steps that give rise to the appearance that is based on the original structure, like the process of creating 3D structures using the process of photogrammetry. It is a technological process that brings a variety of images into the processing of shapes, colors, light, and position and creates a structure according to real objects. Its unique feature is the appearance of millions of point-colored specks that form its structure. It is a feature derived from the digital process and from real historical works that creates works that will inspire the viewer in another way derived from ancient art that is conveyed through the style of digital art. In addition, the application of broadcasting and presenting with a new form of technology, especially the use of virtual reality (V.R.) media tools for the transmission of work, creates a dimension in how to present work to people in a spectacular way with the characteristics and strengths of V.R.. is the creation of a link between users and media to experience the same virtual world. Therefore, bringing such point cloud work to the audience is another way of transferring digital technology, art, and history together. It is conveyed from a different perspective, which helps to increase the perception of value and access to the aesthetics and beauty of this valuable piece.","PeriodicalId":38808,"journal":{"name":"Transactions on Electrical Engineering, Electronics, and Communications","volume":"36 1","pages":"517-523"},"PeriodicalIF":0.0,"publicationDate":"2023-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81105431","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 : 2023-03-22DOI: 10.1109/ECTIDAMTNCON57770.2023.10139766
Emil Novakov, J. Thiriet
The European project Asean Factori 4.0 aims to develop the teaching of modern automation technologies as part of the Industry 4.0 concept. This paper proposes to use the automation hardware platforms developed in the project framework for research and development purposes. In particular, it proposes to use cellular radio frequency communication technologies to exchange data between the PLC and the sensors and actuators system. It shows that NB IoT technologies are suitable for this type of application and in particular for low energy consumption. It introduces the concept of a virtual PLC as well.
{"title":"Leveraging Asean Factori 4.0 Project Platforms and NB-IoT Cellular Communications for Research and Development Activities","authors":"Emil Novakov, J. Thiriet","doi":"10.1109/ECTIDAMTNCON57770.2023.10139766","DOIUrl":"https://doi.org/10.1109/ECTIDAMTNCON57770.2023.10139766","url":null,"abstract":"The European project Asean Factori 4.0 aims to develop the teaching of modern automation technologies as part of the Industry 4.0 concept. This paper proposes to use the automation hardware platforms developed in the project framework for research and development purposes. In particular, it proposes to use cellular radio frequency communication technologies to exchange data between the PLC and the sensors and actuators system. It shows that NB IoT technologies are suitable for this type of application and in particular for low energy consumption. It introduces the concept of a virtual PLC as well.","PeriodicalId":38808,"journal":{"name":"Transactions on Electrical Engineering, Electronics, and Communications","volume":"23 1","pages":"385-388"},"PeriodicalIF":0.0,"publicationDate":"2023-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78154958","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 : 2023-03-22DOI: 10.1109/ECTIDAMTNCON57770.2023.10139358
Youjuan Shen, Teeraporn Saeheaw
The poultry market demand is expected to be higher by 2050 compared to 2010. However, Geese farmers lack scientific Knowledge leading to low survival rates and poor product quality. This research aims to improve customer satisfaction by i) identifying problems in geese farms and ii) using Customer Knowledge Management to design a research framework. Demographic analysis, Text Mining, Kano questionnaire, and Arrow diagramming are used to gather customer data and identify critical areas. The proposed solution is to enhance geese farmers' Knowledge using the Community of Practice.
{"title":"Using Customer Knowledge for Geese Farm Improvement","authors":"Youjuan Shen, Teeraporn Saeheaw","doi":"10.1109/ECTIDAMTNCON57770.2023.10139358","DOIUrl":"https://doi.org/10.1109/ECTIDAMTNCON57770.2023.10139358","url":null,"abstract":"The poultry market demand is expected to be higher by 2050 compared to 2010. However, Geese farmers lack scientific Knowledge leading to low survival rates and poor product quality. This research aims to improve customer satisfaction by i) identifying problems in geese farms and ii) using Customer Knowledge Management to design a research framework. Demographic analysis, Text Mining, Kano questionnaire, and Arrow diagramming are used to gather customer data and identify critical areas. The proposed solution is to enhance geese farmers' Knowledge using the Community of Practice.","PeriodicalId":38808,"journal":{"name":"Transactions on Electrical Engineering, Electronics, and Communications","volume":"117 1","pages":"120-125"},"PeriodicalIF":0.0,"publicationDate":"2023-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80003897","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 : 2023-03-22DOI: 10.1109/ECTIDAMTNCON57770.2023.10139372
Wannaporn Pornjaded, K. Wongsuphasawat, Murali Raman, Wongdyan Pundee, Werner Kurotschka, Phakkharawat Sittiprapaporn
With increasing demand for health and wellness products, it is imperative for providers to adopt strong leadership skills to effectively educate consumers on product facts, communicate professionally, gain the customers' acceptance, and provide customer-centric services to avoid misuse and misinformation. The goal of this research is to study approaches to developing communication skills and acceptability among health and wellness product providers in anti-aging science. A qualitative research method of in-depth interviews with a Delphi technique approach was used to gather insights from 17 purposively selected experts with a Diamond or above ranking and with at least 5 years of experience in Amway business, as Amway was one of the best-known examples of health and wellness product provider companies in the industry. The results were assessed using content analysis, determining the prioritized development methods. It was found that content preparation and broad knowledge, mentor coaching and evaluation, and learning concise and understandable communication tactics were the top 3 approaches to achieving communication skills as a leadership trait. Meanwhile, updating knowledge on a regular basis, having mentors as role models, communicating with proofs, and not answering randomly if uncertain were the top 3 approaches to developing acceptability. This study provides crucial insights into the creation of future effective and more widely accepted communicators as leaders for health and wellness product promotion in the anti-aging industry.
{"title":"Approach to Develop Communication Skills and Acceptability in Health and Wellness Product Provider in Anti-Aging Science","authors":"Wannaporn Pornjaded, K. Wongsuphasawat, Murali Raman, Wongdyan Pundee, Werner Kurotschka, Phakkharawat Sittiprapaporn","doi":"10.1109/ECTIDAMTNCON57770.2023.10139372","DOIUrl":"https://doi.org/10.1109/ECTIDAMTNCON57770.2023.10139372","url":null,"abstract":"With increasing demand for health and wellness products, it is imperative for providers to adopt strong leadership skills to effectively educate consumers on product facts, communicate professionally, gain the customers' acceptance, and provide customer-centric services to avoid misuse and misinformation. The goal of this research is to study approaches to developing communication skills and acceptability among health and wellness product providers in anti-aging science. A qualitative research method of in-depth interviews with a Delphi technique approach was used to gather insights from 17 purposively selected experts with a Diamond or above ranking and with at least 5 years of experience in Amway business, as Amway was one of the best-known examples of health and wellness product provider companies in the industry. The results were assessed using content analysis, determining the prioritized development methods. It was found that content preparation and broad knowledge, mentor coaching and evaluation, and learning concise and understandable communication tactics were the top 3 approaches to achieving communication skills as a leadership trait. Meanwhile, updating knowledge on a regular basis, having mentors as role models, communicating with proofs, and not answering randomly if uncertain were the top 3 approaches to developing acceptability. This study provides crucial insights into the creation of future effective and more widely accepted communicators as leaders for health and wellness product promotion in the anti-aging industry.","PeriodicalId":38808,"journal":{"name":"Transactions on Electrical Engineering, Electronics, and Communications","volume":"167 1","pages":"399-402"},"PeriodicalIF":0.0,"publicationDate":"2023-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87167982","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 : 2023-03-22DOI: 10.1109/ECTIDAMTNCON57770.2023.10139437
Pranajit Kumar Das, S. Pumrin
Diabetic retinopathy is a common retina disease caused by diabetes, which is increasing rapidly worldwide along with diabetic Mellitus. It is very difficult to diagnose in the beginning as it is asymptomatic, which leads to blindness. Presently, there are about 422 million diabetes patients, and it is projected that the number will be 552 million in 2030, as per a report from the World Health Organization. With the advancement in Artificial Intelligence, Deep Learning, and Computer Vision fields, many CNN-powered models have been developed for the detection and classification of DR using color fundus images. Early diagnosis of DR will increase recovery and decrease the possibility of vision loss threats. In this study, we aim to classify Diabetic Retinopathy in two stages, diseased versus healthy images. Three different pre-trained CNN models, namely, VGG16, InceptionV3, and MobileNet were deployed through transfer learning. Messidor and Messidor-2, two publicly available datasets are used in the training and testing of these CNN models. In terms of classification accuracy, the highest result of 84% was obtained using InceptionV3, whereas MobileNet and VGG16 shows 83% and 78% accuracy, respectively. The Highest 86 % precision for the healthy class and 88% sensitivity for the diseased class is shown by VGG16.
{"title":"CNN Transfer Learning for Two Stage Classification of Diabetic Retinopathy using Fundus Images","authors":"Pranajit Kumar Das, S. Pumrin","doi":"10.1109/ECTIDAMTNCON57770.2023.10139437","DOIUrl":"https://doi.org/10.1109/ECTIDAMTNCON57770.2023.10139437","url":null,"abstract":"Diabetic retinopathy is a common retina disease caused by diabetes, which is increasing rapidly worldwide along with diabetic Mellitus. It is very difficult to diagnose in the beginning as it is asymptomatic, which leads to blindness. Presently, there are about 422 million diabetes patients, and it is projected that the number will be 552 million in 2030, as per a report from the World Health Organization. With the advancement in Artificial Intelligence, Deep Learning, and Computer Vision fields, many CNN-powered models have been developed for the detection and classification of DR using color fundus images. Early diagnosis of DR will increase recovery and decrease the possibility of vision loss threats. In this study, we aim to classify Diabetic Retinopathy in two stages, diseased versus healthy images. Three different pre-trained CNN models, namely, VGG16, InceptionV3, and MobileNet were deployed through transfer learning. Messidor and Messidor-2, two publicly available datasets are used in the training and testing of these CNN models. In terms of classification accuracy, the highest result of 84% was obtained using InceptionV3, whereas MobileNet and VGG16 shows 83% and 78% accuracy, respectively. The Highest 86 % precision for the healthy class and 88% sensitivity for the diseased class is shown by VGG16.","PeriodicalId":38808,"journal":{"name":"Transactions on Electrical Engineering, Electronics, and Communications","volume":"6 1","pages":"443-447"},"PeriodicalIF":0.0,"publicationDate":"2023-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87382580","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 : 2023-03-22DOI: 10.1109/ECTIDAMTNCON57770.2023.10139424
S. Mekruksavanich, Ponnipa Jantawong, Apiwat Witayarat, A. Jitpattanakul
The Internet of Vehicles (IoV) is an architecture of the intelligent transportation system that combines automotive, transportation, and information exchange to increase road safety. The categorization of roadways not only improves the passenger's comfort and safety but also provides autonomous cars with safe navigation paths. In this paper, we present an identification method based on movement data from smart glasses (electroocu-lography, acceleration, and angular velocity) to categorize four kinds of roads often experienced: highway, city road, highway, undeveloped region, and housing estate. We developed a deep pyramidal residual network that automatically recovers spatial-temporal data and efficiently identifies road kinds. We performed experiments to evaluate deep learning models utilizing a publicly available benchmark dataset, including sensor data acquired from intelligent eyewear. Experimentally, we discovered that the suggested 1D-PyramidNet model obtained the most incredible interpretation with the most increased accuracy (92.23%) and outperformed all other deep learning models.
车联网(Internet of Vehicles, IoV)是一种智能交通系统架构，它将汽车、交通和信息交换相结合，以提高道路安全。道路的分类不仅提高了乘客的舒适性和安全性，而且为自动驾驶汽车提供了安全的导航路径。本文提出了一种基于智能眼镜运动数据(电眼图、加速度和角速度)的识别方法，对高速公路、城市道路、高速公路、欠发达地区和住宅小区四种常见道路进行分类。我们开发了一种能自动恢复时空数据并有效识别道路类型的深度金字塔残差网络。我们利用公开可用的基准数据集(包括从智能眼镜获取的传感器数据)进行了实验，以评估深度学习模型。实验中，我们发现建议的1D-PyramidNet模型获得了最令人难以置信的解释，准确率最高(92.23%)，并且优于所有其他深度学习模型。
{"title":"Deep Learning Approaches for Classification of Road Types Using Wearable Sensors Embedded in Smart Glasses","authors":"S. Mekruksavanich, Ponnipa Jantawong, Apiwat Witayarat, A. Jitpattanakul","doi":"10.1109/ECTIDAMTNCON57770.2023.10139424","DOIUrl":"https://doi.org/10.1109/ECTIDAMTNCON57770.2023.10139424","url":null,"abstract":"The Internet of Vehicles (IoV) is an architecture of the intelligent transportation system that combines automotive, transportation, and information exchange to increase road safety. The categorization of roadways not only improves the passenger's comfort and safety but also provides autonomous cars with safe navigation paths. In this paper, we present an identification method based on movement data from smart glasses (electroocu-lography, acceleration, and angular velocity) to categorize four kinds of roads often experienced: highway, city road, highway, undeveloped region, and housing estate. We developed a deep pyramidal residual network that automatically recovers spatial-temporal data and efficiently identifies road kinds. We performed experiments to evaluate deep learning models utilizing a publicly available benchmark dataset, including sensor data acquired from intelligent eyewear. Experimentally, we discovered that the suggested 1D-PyramidNet model obtained the most incredible interpretation with the most increased accuracy (92.23%) and outperformed all other deep learning models.","PeriodicalId":38808,"journal":{"name":"Transactions on Electrical Engineering, Electronics, and Communications","volume":"52 1","pages":"493-497"},"PeriodicalIF":0.0,"publicationDate":"2023-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87638458","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 : 2023-03-22DOI: 10.1109/ECTIDAMTNCON57770.2023.10139770
Mujalin Polchan, Ampai Pukao, Tapana Cheunban, Somnuek Sinthupuan
Waste classification is an important problem for environmental management at the university because the amount of waste is in line with the number of students. Maejo University has a vision of being a green university; therefore, it places importance on waste management, starting with the process of separating waste into 10 types of 4 trash bins, which are: the blue bin is general waste, the yellow bins are recycling bins, the green bins are wet and biodegradable, and the red bins are hazardous. The inspection of each type of waste bin was studied by comparing five prototype models with the pre-train model, consisting of MobileNetV2, InceptionV3, ResNet34, VGG16, and CNN, to develop a mobile application. It was found that the MobileNetV2 model had the highest validation results. Then, the mobile application was used to inspect the waste, and the amount of waste was sorted from the largest to the smallest, namely, green bins for wet waste, yellow bins for general waste, blue bins for recyclables, and red bins for hazardous waste.
{"title":"Waste Management System using Waste Classification on Mobile Application","authors":"Mujalin Polchan, Ampai Pukao, Tapana Cheunban, Somnuek Sinthupuan","doi":"10.1109/ECTIDAMTNCON57770.2023.10139770","DOIUrl":"https://doi.org/10.1109/ECTIDAMTNCON57770.2023.10139770","url":null,"abstract":"Waste classification is an important problem for environmental management at the university because the amount of waste is in line with the number of students. Maejo University has a vision of being a green university; therefore, it places importance on waste management, starting with the process of separating waste into 10 types of 4 trash bins, which are: the blue bin is general waste, the yellow bins are recycling bins, the green bins are wet and biodegradable, and the red bins are hazardous. The inspection of each type of waste bin was studied by comparing five prototype models with the pre-train model, consisting of MobileNetV2, InceptionV3, ResNet34, VGG16, and CNN, to develop a mobile application. It was found that the MobileNetV2 model had the highest validation results. Then, the mobile application was used to inspect the waste, and the amount of waste was sorted from the largest to the smallest, namely, green bins for wet waste, yellow bins for general waste, blue bins for recyclables, and red bins for hazardous waste.","PeriodicalId":38808,"journal":{"name":"Transactions on Electrical Engineering, Electronics, and Communications","volume":"6 1","pages":"229-233"},"PeriodicalIF":0.0,"publicationDate":"2023-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82532723","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 : 2023-03-22DOI: 10.1109/ECTIDAMTNCON57770.2023.10139561
Natthpon Ounyoung, N. Mettripun
In this research, we propose a method for classifying 4 types of pineapple fiber woven fabrics which are pure pineapple fiber woven fabrics, manual-connected pure pineapple fiber woven fabrics, machine-connected pure pineapple fiber woven fabrics, and blended pineapple fiber-cotton textile fabric. Each type can refer to the quality and price of these fabrics. The proposed technique is based on transfer learning of the Convolutional Neural Network (CNN). Transfer learning can be separated into 3 steps which are modifying the pretrained network, model training, and assessing the model. The Resnet50 was selected to be our transfer learning network. Finally, the experimental result shows that the classification performance in terms of class accuracy is 95.83 % on average.
{"title":"Classification of Pineapple Fiber Woven Fabrics Based on Convolutional Neural Network","authors":"Natthpon Ounyoung, N. Mettripun","doi":"10.1109/ECTIDAMTNCON57770.2023.10139561","DOIUrl":"https://doi.org/10.1109/ECTIDAMTNCON57770.2023.10139561","url":null,"abstract":"In this research, we propose a method for classifying 4 types of pineapple fiber woven fabrics which are pure pineapple fiber woven fabrics, manual-connected pure pineapple fiber woven fabrics, machine-connected pure pineapple fiber woven fabrics, and blended pineapple fiber-cotton textile fabric. Each type can refer to the quality and price of these fabrics. The proposed technique is based on transfer learning of the Convolutional Neural Network (CNN). Transfer learning can be separated into 3 steps which are modifying the pretrained network, model training, and assessing the model. The Resnet50 was selected to be our transfer learning network. Finally, the experimental result shows that the classification performance in terms of class accuracy is 95.83 % on average.","PeriodicalId":38808,"journal":{"name":"Transactions on Electrical Engineering, Electronics, and Communications","volume":"16 1","pages":"389-392"},"PeriodicalIF":0.0,"publicationDate":"2023-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84760453","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 : 2023-03-22DOI: 10.1109/ECTIDAMTNCON57770.2023.10139328
L. Hrdina, Miroslav Čulík, J. Petrov, S. Mišák, L. Prokop
This article deals with the technical design and economics of operation of a hydrogen production source with intended use in transport in a selected location in the Czech Republic, specifically in the Moravian-Silesian region. The design of the technical solution includes in particular the energy balance of hydrogen production and also the design of the sources needed for its production. The design considers the use of electricity from photovoltaics and wind farms in combination with supply from the national grid. The specific solution envisages the production of hydrogen in a 5 MW electrolyser located in the area of a filling station designed for rail transport, in addition to buses and trucks. The whole project is then assessed in terms of investment and operating costs, which determine the resulting economic evaluation.
{"title":"Technical and Economic Evaluation of Hydrogen Production Sources for Use in Transport","authors":"L. Hrdina, Miroslav Čulík, J. Petrov, S. Mišák, L. Prokop","doi":"10.1109/ECTIDAMTNCON57770.2023.10139328","DOIUrl":"https://doi.org/10.1109/ECTIDAMTNCON57770.2023.10139328","url":null,"abstract":"This article deals with the technical design and economics of operation of a hydrogen production source with intended use in transport in a selected location in the Czech Republic, specifically in the Moravian-Silesian region. The design of the technical solution includes in particular the energy balance of hydrogen production and also the design of the sources needed for its production. The design considers the use of electricity from photovoltaics and wind farms in combination with supply from the national grid. The specific solution envisages the production of hydrogen in a 5 MW electrolyser located in the area of a filling station designed for rail transport, in addition to buses and trucks. The whole project is then assessed in terms of investment and operating costs, which determine the resulting economic evaluation.","PeriodicalId":38808,"journal":{"name":"Transactions on Electrical Engineering, Electronics, and Communications","volume":"74 1","pages":"284-289"},"PeriodicalIF":0.0,"publicationDate":"2023-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91087373","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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