2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C)最新文献_第5页

Teaching the snowball effect on polymer electrolyte fuel cells through visual abstract 通过可视化的抽象讲解聚合物电解质燃料电池的雪球效应

2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C) Pub Date : 2022-08-04 DOI: 10.1109/RI2C56397.2022.9910276

Farinaz Nemati, R. Gavagsaz-Ghoachani, M. Phattanasak

{"title":"Teaching the snowball effect on polymer electrolyte fuel cells through visual abstract","authors":"Farinaz Nemati, R. Gavagsaz-Ghoachani, M. Phattanasak","doi":"10.1109/RI2C56397.2022.9910276","DOIUrl":"https://doi.org/10.1109/RI2C56397.2022.9910276","url":null,"abstract":"With the growth of population and industrialization of societies, the need for energy has increased. Due to the limited resources of non-renewable energy and the creation of various types of pollution, they should be replaced. Nowadays, renewable energy systems have been considered due to their compatibility with the environment. Polymer electrolyte fuel cells (PEMFCs) are an example of the use of renewable energy systems. PEMFCs, along with all their advantages, face the challenge of durability. The Snowball effect is a phenomenon that is followed by continuous reactions that reduce the durability of PEMFCs. The cause of this effect is the existence of various heterogeneities in fuel cells, which are controlled by water management through the current management strategy. On the other hand, efficient content training is valuable and necessary because it leads to a better understanding and, ultimately, progress in the field of fuel cells. With the spread of the Coronavirus and the virtualization of education, the need for change and diversity in education became more and more felt. Also, with the advancement of technology, it is better to use all available facilities to improve education. In this article, the effect of snowball and its solution has been easily taught by using new educational methods and visual abstracts.","PeriodicalId":403083,"journal":{"name":"2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123490937","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

IoT, AI and Digital Twin For Smart Campus 智能校园的物联网、人工智能和数字孪生

2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C) Pub Date : 2022-08-04 DOI: 10.1109/RI2C56397.2022.9910286

Tanapeak Pexyean, K. Saraubon, P. Nilsook

{"title":"IoT, AI and Digital Twin For Smart Campus","authors":"Tanapeak Pexyean, K. Saraubon, P. Nilsook","doi":"10.1109/RI2C56397.2022.9910286","DOIUrl":"https://doi.org/10.1109/RI2C56397.2022.9910286","url":null,"abstract":"The objective of this research is to Present the use of Digital Twin. Internet of Things and Intelligence Technology to Intelligently Develop The Energy Management Potential of Campuses By using Digital Twin to manage energy consumption, it enables the creation of work and life on campus, whether it is personal. Teachers and students, including those with disabilities, have a better quality of life. Living on campus is more comfortable Collect energy consumption data, organizations to manage power management systems, reduce energy consumption, simplify management in all departments, and reduce campus costs. It can transparently monitor energy consumption and use educational equipment on campus, especially cost and expenditure management, and sustainable energy consumption, as well as management. Control usage data, energy consumption results, and budget allocations related to educational institutions can create reliability in managing information about electrical energy and energy competency assessment results, and can be recorded and controlled in Digital Twin that can be as if it were with a control center. IoT and Cloud Computing are also integrated with AI systems embedded in state-of-the-art equipment for use in environmental management and intelligent energy management. As well as creating new energy models and management that can resolve future emergencies by controlling virtual energy within the organization from outside anytime, anywhere.","PeriodicalId":403083,"journal":{"name":"2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128457077","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

Question Classification from Thai Sentences by Considering Word Context to Question Generation 考虑词上下文的泰语句子问题分类与问题生成

2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C) Pub Date : 2022-08-04 DOI: 10.1109/RI2C56397.2022.9910313

Saranlita Chotirat, P. Meesad, H. Unger

{"title":"Question Classification from Thai Sentences by Considering Word Context to Question Generation","authors":"Saranlita Chotirat, P. Meesad, H. Unger","doi":"10.1109/RI2C56397.2022.9910313","DOIUrl":"https://doi.org/10.1109/RI2C56397.2022.9910313","url":null,"abstract":"The potential of automated question generation is role play in the multi-fields and multi-applications such as question and answering systems, examination systems, and information retrieval. Before learning the question generated, one should understand how to classify questions. This research aims to generate possible questions considering the possible question categories from question classification based on Natural Language Processing. In this research, we compared the results on Logistic Regression, Support Vector Machine, and Multinomial Naï ve Bayes, which were traditional classification models. The deep learning techniques were Convolutional Neural Networks, Bidirectional Long Short-Term Memory, combined CNN and BiLSTM models, and BERT models. The experimental results show that the preprocessing phase using Natural Language Processing could enhance question classification. The classification of the sentence to question classification attained an average micro $F_{1} -$ score of 91.40% when applied BERT model by pre-trained WangchanBERTa on simple sentences. In contrast, the satisfying score with an average micro $F_{1} -$ score of 82.07% (from 80.37% on original input) when applied to add all POS tags unigram + bigram TF-IDF by using the SVM model. The experimental results when the CNN model with GloVe on adding focusing POS tags is a satisfactory score with an average micro $F_{1} -$ score of 79.79%.","PeriodicalId":403083,"journal":{"name":"2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127273323","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

Low-cost Automatic Antenna Polarization Measurement system 低成本自动天线极化测量系统

2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C) Pub Date : 2022-08-04 DOI: 10.1109/RI2C56397.2022.9910296

Natdanai Phumirin, Kitiphon Sukpreecha, K. Phaebua, A. Boonpoonga, T. Lertwiriyaprapa

引用次数: 0

A Real-Time Unmasked Detection Using SSD-MobileNetV2 on Edge Device for the COVID-19 Pandemic 在边缘设备上使用SSD-MobileNetV2进行COVID-19大流行的实时解掩检测

2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C) Pub Date : 2022-08-04 DOI: 10.1109/RI2C56397.2022.9910264

C. Phromsuthirak, Orawan Chunhapran, Maposee Hama, P. Boonrawd, Siranee Nuchitprasitchai

引用次数: 0

Truncation Error Study in Cylindrical Near-field Measurement Technique 圆柱近场测量技术的截断误差研究

2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C) Pub Date : 2022-08-04 DOI: 10.1109/RI2C56397.2022.9910308

K. Phaebua, T. Lertwiriyaprapa, D. Torrungrueng, A. Boonpoonga

{"title":"Truncation Error Study in Cylindrical Near-field Measurement Technique","authors":"K. Phaebua, T. Lertwiriyaprapa, D. Torrungrueng, A. Boonpoonga","doi":"10.1109/RI2C56397.2022.9910308","DOIUrl":"https://doi.org/10.1109/RI2C56397.2022.9910308","url":null,"abstract":"A truncation error study in the cylindrical near-field (NF) measurement technique is proposed. The maximum angle span of the far-field (FF) radiation pattern from the bore-sight of the antenna under test (AUT) is studied. The truncated NF scan length will be varied. The cylindrical wave expansion is employed to transform the near-field to far-field (NF-FF), where the two-dimensional (2D) numerical integration is employed to calculate associated double integration in the cylindrical wave expansion. The referenced far-field radiation pattern of AUT is simulated by three-dimensional (3D) electromagnetic (EM) software. It is found that the maximum angle span of the FF radiation pattern is dependent on truncated NF scan length and AUT to probe distance. The simulated radiation patterns and the radiation patterns from numerical NF-FF transformation in the valid angle span are in good agreement. Therefore, the greater the truncated NF scans length, the higher the valid angle span of the FF radiation pattern. The actual valid angle span is a bit wider than the estimated maximum angle span, under the condition of the truncated NF scan length is two times larger than the antenna size.","PeriodicalId":403083,"journal":{"name":"2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131988109","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

CNN based Automatic Detection of Defective Photovoltaic Modules using Aerial Imagery 基于CNN的航空图像缺陷光伏组件自动检测

2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C) Pub Date : 2022-08-04 DOI: 10.1109/RI2C56397.2022.9910319

Pornthep Sarakon, Benya Lertpornsuksawat, Temsiri Sapsaman, Titan Janthori

引用次数: 0

A Square Patch Partially Reflective Surface for Improving the Antenna Gain Characteristic of Low-Cost Dual Polarized Microstrip Antenna 提高低成本双极化微带天线增益特性的方形贴片部分反射面

2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C) Pub Date : 2022-08-04 DOI: 10.1109/RI2C56397.2022.9910284

Sukanya Chudpooti, Patchadaporn Sangpet, N. Chudpooti, N. Sathitanon, N. Somjit, P. Akkaraekthalin

{"title":"A Square Patch Partially Reflective Surface for Improving the Antenna Gain Characteristic of Low-Cost Dual Polarized Microstrip Antenna","authors":"Sukanya Chudpooti, Patchadaporn Sangpet, N. Chudpooti, N. Sathitanon, N. Somjit, P. Akkaraekthalin","doi":"10.1109/RI2C56397.2022.9910284","DOIUrl":"https://doi.org/10.1109/RI2C56397.2022.9910284","url":null,"abstract":"This paper presents an improvement gain of a dual-polarized microstrip patch antenna by using the partially reflective surface (PRS). The PRS is designed from a $10 times 10$ array patches structure, which is patterned on a 0.8-mm FR-4 substrate. A-dual-port fed by two SMA connectors, which is selected to use as the source of an experiment. The square metallic patch is used to design the PRS layer. The dimension of the square patch is 5 mm $times 5$ mm. The length of the square patch is varied from 3.0mm to 4.5 mm by step of 0.5 mm to investigate the reflection coefficients, e.g., magnitude response and phase response. Based on the simulated results, a 4.5-mm square patch provides the highest reflection coefficient of 0.53. To prove the design concept, the size of a square patch of 4.5 mm is selected to fabricate and measure the radiation pattern. At an operating frequency of 3.5 GHz, the maximum gain at the zero degrees is increased from 1.2 dBi to 4.96 dBi when compared without and with PRS.","PeriodicalId":403083,"journal":{"name":"2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C)","volume":"20 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124916443","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

Metaverse for Developing Engineering Competency 开发工程能力的元空间

2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C) Pub Date : 2022-08-04 DOI: 10.1109/RI2C56397.2022.9910290

Junjiraporn Thongprasit, Pallop Piriyasurawong

{"title":"Metaverse for Developing Engineering Competency","authors":"Junjiraporn Thongprasit, Pallop Piriyasurawong","doi":"10.1109/RI2C56397.2022.9910290","DOIUrl":"https://doi.org/10.1109/RI2C56397.2022.9910290","url":null,"abstract":"The objective of this research is to develop a metaverse framework for engineering competency development. This research is divided into two phases. In the first phase, it will study and synthesize the elements of a metaverse framework for engineering competency development. The researcher has studied, analyzed, and synthesized data on various issues from related documents and research. It was then developed into a metaverse framework for engineering competency development. We found that a metaverse framework for engineering competency development comprises three components, namely: metaverse, metaverse platform, and engineering competency for future ready. Using the metaverse in engineering will help improve and develop the engineering management system. It is also useful for workforce production or engineering personnel to have appropriate performance and meet the needs of the world workforce market. So, using the metaverse to train engineers who can meet international standards and play a full role in engineering is a good way to get ready for the digital transformation that will happen in the future.","PeriodicalId":403083,"journal":{"name":"2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114885540","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

A Comparative Study of Deep Convolutional Neural Networks for Car Image Classification 深度卷积神经网络在汽车图像分类中的比较研究

2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C) Pub Date : 2022-08-04 DOI: 10.1109/RI2C56397.2022.9910270

Phuriwat Rasameekunwit, Wutthichai Puangmanee

引用次数: 0