Pub Date : 2022-08-04DOI: 10.1109/RI2C56397.2022.9910270
Phuriwat Rasameekunwit, Wutthichai Puangmanee
This paper aims to present the result of a comparative study of Deep Convolutional Neural Networks (CNN) using the AlexNet architecture to use the car image classification of a small dataset. We have proposed the experiment result from a comparative study dropout value using Cuckoo Search (CS), of the optimization techniques for a small data set solving problem of overfitting. The car images for the experiment are different in color, size, and position. As a result, the training time average of $sim 59.16$ minutes, and the model accuracy of 91.41%.
{"title":"A Comparative Study of Deep Convolutional Neural Networks for Car Image Classification","authors":"Phuriwat Rasameekunwit, Wutthichai Puangmanee","doi":"10.1109/RI2C56397.2022.9910270","DOIUrl":"https://doi.org/10.1109/RI2C56397.2022.9910270","url":null,"abstract":"This paper aims to present the result of a comparative study of Deep Convolutional Neural Networks (CNN) using the AlexNet architecture to use the car image classification of a small dataset. We have proposed the experiment result from a comparative study dropout value using Cuckoo Search (CS), of the optimization techniques for a small data set solving problem of overfitting. The car images for the experiment are different in color, size, and position. As a result, the training time average of $sim 59.16$ minutes, and the model accuracy of 91.41%.","PeriodicalId":403083,"journal":{"name":"2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C)","volume":"7 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":"114889854","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 : 2022-08-04DOI: 10.1109/RI2C56397.2022.9910284
Sukanya Chudpooti, Patchadaporn Sangpet, N. Chudpooti, N. Sathitanon, N. Somjit, P. Akkaraekthalin
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.
提出了利用部分反射面提高双极化微带贴片天线增益的方法。PRS采用$10 × 10$阵列贴片结构设计，贴片结构设计在0.8 mm FR-4基板上。a -双端口由两个SMA连接器馈电，选择作为实验源。采用方形金属贴片设计PRS层。方形贴片的尺寸为5 mm × 5 mm。方形贴片的长度从3.0mm到4.5 mm，以0.5 mm的速度变化，以研究反射系数，如幅度响应和相位响应。仿真结果表明，4.5 mm方形贴片的反射系数最高，为0.53。为了验证设计理念，选择4.5 mm大小的方形贴片制作和测量辐射方向图。在工作频率为3.5 GHz时，与无PRS和有PRS相比，零度处的最大增益从1.2 dBi增加到4.96 dBi。
{"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}
Pub Date : 2022-08-04DOI: 10.1109/RI2C56397.2022.9910334
Oraphan Amnuaysin, P. Nilsook, P. Wannapiroon
This study begins with the study of the problems and research related to remote laboratories. It then analyzes and synthesizes relevant research, examining the composition of remote laboratories. By creating a synthetic table and summarizing the results of the research, it was found that a remote laboratory consisted of 5 elements: 1. Remote access. 2. Server 3. Equipment 4. Monitoring and 5. Practice, thereby creating a learning experience. Students can access a Lab Management Platform with laboratory management tools which can support the interaction of learners and instructors. This is the result of integrating technical and teaching laboratories into learning systems in order to support remote learners. As a result of the synthesis of the laboratory management platform elements, there are 4 features: 1. Login System 2. Learning Management System 3. Booking System and 4. Interactive Communication. This study is a review of the research related to the means by which it is possible to create the correct tools and learning environment in order to develop higher education students in such a way as to prepare them for the new situations they will face in an ever-changing future in the digital economy.
{"title":"Remote Laboratory Management Platform","authors":"Oraphan Amnuaysin, P. Nilsook, P. Wannapiroon","doi":"10.1109/RI2C56397.2022.9910334","DOIUrl":"https://doi.org/10.1109/RI2C56397.2022.9910334","url":null,"abstract":"This study begins with the study of the problems and research related to remote laboratories. It then analyzes and synthesizes relevant research, examining the composition of remote laboratories. By creating a synthetic table and summarizing the results of the research, it was found that a remote laboratory consisted of 5 elements: 1. Remote access. 2. Server 3. Equipment 4. Monitoring and 5. Practice, thereby creating a learning experience. Students can access a Lab Management Platform with laboratory management tools which can support the interaction of learners and instructors. This is the result of integrating technical and teaching laboratories into learning systems in order to support remote learners. As a result of the synthesis of the laboratory management platform elements, there are 4 features: 1. Login System 2. Learning Management System 3. Booking System and 4. Interactive Communication. This study is a review of the research related to the means by which it is possible to create the correct tools and learning environment in order to develop higher education students in such a way as to prepare them for the new situations they will face in an ever-changing future in the digital economy.","PeriodicalId":403083,"journal":{"name":"2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C)","volume":"70 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":"131559608","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 : 2022-08-04DOI: 10.1109/RI2C56397.2022.9910333
A. Gholami, R. Gavagsaz-Ghoachani, M. Phattanasak
The need for improving teaching methods and shifting from conventional ones to more efficient ways has become more prominent in recent years, especially since the Coronavirus pandemic. Accordingly, the evaluation process must be improved to match the teaching methods. In the current study, a novel storytelling-based teaching and evaluation method is introduced. The method was applied to undergraduate and graduate students to examine their gained knowledge during a one-year course. During the examination, the learners investigate correlations between the course contents and the different contents provided by the teacher and try to support their correlations scientifically. Besides, a friendly relationship with the student considering their emotional, psychological, and scientific dimensions, will be established to increase the learning efficiency through this method. Bloom's taxonomy of educational objectives and affective domains of the bloom's taxonomy will be applied to the learners' responses to score their performance and investigate their scientific learning states as well as their emotional and psychological conditions. A case study of evaluation of a one-year course about microbial fuel cell as one of the renewable energy generation systems was presented in this study. The four-year analysis and the feedback received for this method indicated that its implementation results in deeper learning of the course contents. Therefore, the examination phase also acts as a part of the teaching procedure. The proposed method could be applied to other courses.
{"title":"Storytelling-Based Teaching and Evaluation Method Through Visualization in Engineering Topics","authors":"A. Gholami, R. Gavagsaz-Ghoachani, M. Phattanasak","doi":"10.1109/RI2C56397.2022.9910333","DOIUrl":"https://doi.org/10.1109/RI2C56397.2022.9910333","url":null,"abstract":"The need for improving teaching methods and shifting from conventional ones to more efficient ways has become more prominent in recent years, especially since the Coronavirus pandemic. Accordingly, the evaluation process must be improved to match the teaching methods. In the current study, a novel storytelling-based teaching and evaluation method is introduced. The method was applied to undergraduate and graduate students to examine their gained knowledge during a one-year course. During the examination, the learners investigate correlations between the course contents and the different contents provided by the teacher and try to support their correlations scientifically. Besides, a friendly relationship with the student considering their emotional, psychological, and scientific dimensions, will be established to increase the learning efficiency through this method. Bloom's taxonomy of educational objectives and affective domains of the bloom's taxonomy will be applied to the learners' responses to score their performance and investigate their scientific learning states as well as their emotional and psychological conditions. A case study of evaluation of a one-year course about microbial fuel cell as one of the renewable energy generation systems was presented in this study. The four-year analysis and the feedback received for this method indicated that its implementation results in deeper learning of the course contents. Therefore, the examination phase also acts as a part of the teaching procedure. The proposed method could be applied to other courses.","PeriodicalId":403083,"journal":{"name":"2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C)","volume":"86 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":"132232914","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 : 2022-08-04DOI: 10.1109/RI2C56397.2022.9910292
Chiranun Kamolsin, Fuangfar Pensiri, K. Ryu, P. Visutsak
To design a graphical user interface (GUI) in a computer system, the UI designer should understand all components of system, procedures, and user’s experience. Therefore, the UI designer must transform the user’s requirements into system story, procedures, and functions which will be fitted to the user’s needs. A good GUI design must be easy to see by the user e.g., “left-to-right” and “top-to-bottom” directions and the omitted usage of scroll bar for exploring the hiding part of a GUI. There are many tools used to collect the feedback and evaluate the best GUI design such as the questionnaire, the interview, the A/B testing, and the multivariate testing. In this paper, we propose the user testing method for the designing of Thai traditional weaving dashboard originated by the Royal Thai Silk Conservation Village Project, the Office of Sericulture Conservation and Standard Conformity Assessment, the Queen Sirikit Department of Sericulture, Ministry of Agriculture and Cooperatives. There are 5 variables used for the design evaluation: utility, functionality, ease of use, consistency, and satisfaction. The experimental results yield 3.927, 3.890, 4.027, 3.981, and 3.945, respectively.
{"title":"The Evaluation of GUI Design using Questionnaire and Multivariate Testing","authors":"Chiranun Kamolsin, Fuangfar Pensiri, K. Ryu, P. Visutsak","doi":"10.1109/RI2C56397.2022.9910292","DOIUrl":"https://doi.org/10.1109/RI2C56397.2022.9910292","url":null,"abstract":"To design a graphical user interface (GUI) in a computer system, the UI designer should understand all components of system, procedures, and user’s experience. Therefore, the UI designer must transform the user’s requirements into system story, procedures, and functions which will be fitted to the user’s needs. A good GUI design must be easy to see by the user e.g., “left-to-right” and “top-to-bottom” directions and the omitted usage of scroll bar for exploring the hiding part of a GUI. There are many tools used to collect the feedback and evaluate the best GUI design such as the questionnaire, the interview, the A/B testing, and the multivariate testing. In this paper, we propose the user testing method for the designing of Thai traditional weaving dashboard originated by the Royal Thai Silk Conservation Village Project, the Office of Sericulture Conservation and Standard Conformity Assessment, the Queen Sirikit Department of Sericulture, Ministry of Agriculture and Cooperatives. There are 5 variables used for the design evaluation: utility, functionality, ease of use, consistency, and satisfaction. The experimental results yield 3.927, 3.890, 4.027, 3.981, and 3.945, respectively.","PeriodicalId":403083,"journal":{"name":"2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C)","volume":"15 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":"133920995","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 : 2022-08-04DOI: 10.1109/RI2C56397.2022.9910271
Akksatcha Duangsuphasin, A. Kengpol, Preecha Rungsaksangmanee
The objective of this research is to design of a deep learning model to classify passion fruit for the ageing society. The phenomenon of an increasingly aging population affects the way of life and well-being of all societies around the world. The growing trend of the elderly leads to risks and health problems. Many substances in the passion fruit can help with sleep problems, wrinkled skin, and lower high blood pressure. Eating purple passion fruit after harvest is found to be more sour than sweet, but the longer it is stored, the sweeter it tastes. It is expected that the 4-passion fruit group, which is categorized by post-harvest period, can be classified by convolutional neural networks (CNNs), which is a network in network (NiN) architecture in the Python program. The implications of the study are that classifying the passion fruit is appropriate for an ageing society. The NiN models can generate the accuracy of a trained dataset of 96.76% and a validation dataset of 95.89%. This model is used to make computer programs that make it easy to choose passion fruit and other fruits for the fruit juice industry.
{"title":"The Design of a Deep Learning Model to Classify Passion Fruit for the Ageing Society","authors":"Akksatcha Duangsuphasin, A. Kengpol, Preecha Rungsaksangmanee","doi":"10.1109/RI2C56397.2022.9910271","DOIUrl":"https://doi.org/10.1109/RI2C56397.2022.9910271","url":null,"abstract":"The objective of this research is to design of a deep learning model to classify passion fruit for the ageing society. The phenomenon of an increasingly aging population affects the way of life and well-being of all societies around the world. The growing trend of the elderly leads to risks and health problems. Many substances in the passion fruit can help with sleep problems, wrinkled skin, and lower high blood pressure. Eating purple passion fruit after harvest is found to be more sour than sweet, but the longer it is stored, the sweeter it tastes. It is expected that the 4-passion fruit group, which is categorized by post-harvest period, can be classified by convolutional neural networks (CNNs), which is a network in network (NiN) architecture in the Python program. The implications of the study are that classifying the passion fruit is appropriate for an ageing society. The NiN models can generate the accuracy of a trained dataset of 96.76% and a validation dataset of 95.89%. This model is used to make computer programs that make it easy to choose passion fruit and other fruits for the fruit juice industry.","PeriodicalId":403083,"journal":{"name":"2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C)","volume":"10 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":"126446468","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 : 2022-08-04DOI: 10.1109/RI2C56397.2022.9910290
Junjiraporn Thongprasit, Pallop Piriyasurawong
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.
{"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}
Pub Date : 2022-08-04DOI: 10.1109/RI2C56397.2022.9910317
Narit Hnoohom, Nagorn Maitrichit, K. Wongpatikaseree, Sumeth Yuenyong, S. Mekruksavanich, A. Jitpattanakul
This paper presents an efficient approach to generate visual explanations from a ResNet 101 model for identification of medication. The blister package dataset is used to train a deep learning model built on the PyTorch framework’s ResNet 101 pre-trained model. Visual inspections and a quantitative localization benchmark demonstrate that the model approach correctly identifies the critical components of blister packs for medicine identification. A Gradient-weighted Class Activation Mapping (Grad-CAM) method is used to extract the feature map, and then the attention mechanism is utilized to extract the high-level attention maps, that emphasizes the part of the image that is significant to the target class, which can be considered as a visual representation. The experimental results indicated that the Grad-CAM achieved the better visualization and interpretation of ResNet 101 in blister package classification.
本文提出了一种从ResNet 101模型生成用于识别药物的可视化解释的有效方法。blister包数据集用于训练基于PyTorch框架的ResNet 101预训练模型构建的深度学习模型。目视检查和定量定位基准表明，该模型方法正确地识别了用于药物识别的吸塑包装的关键部件。采用梯度加权类激活映射(Gradient-weighted Class Activation Mapping, Grad-CAM)方法提取特征图，然后利用注意机制提取高级注意图，该注意图强调图像中对目标类重要的部分，可视为视觉表示。实验结果表明，Grad-CAM在吸塑包装分类中能够较好地实现ResNet 101的可视化和解译。
{"title":"Visual Explanations of ResNet 101 for Blister Package Classification","authors":"Narit Hnoohom, Nagorn Maitrichit, K. Wongpatikaseree, Sumeth Yuenyong, S. Mekruksavanich, A. Jitpattanakul","doi":"10.1109/RI2C56397.2022.9910317","DOIUrl":"https://doi.org/10.1109/RI2C56397.2022.9910317","url":null,"abstract":"This paper presents an efficient approach to generate visual explanations from a ResNet 101 model for identification of medication. The blister package dataset is used to train a deep learning model built on the PyTorch framework’s ResNet 101 pre-trained model. Visual inspections and a quantitative localization benchmark demonstrate that the model approach correctly identifies the critical components of blister packs for medicine identification. A Gradient-weighted Class Activation Mapping (Grad-CAM) method is used to extract the feature map, and then the attention mechanism is utilized to extract the high-level attention maps, that emphasizes the part of the image that is significant to the target class, which can be considered as a visual representation. The experimental results indicated that the Grad-CAM achieved the better visualization and interpretation of ResNet 101 in blister package classification.","PeriodicalId":403083,"journal":{"name":"2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C)","volume":"291 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":"122264724","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 : 2022-08-04DOI: 10.1109/RI2C56397.2022.9910307
Pichet Janpla, S. Chanthanumataporn, S. Sitthiracha
Motorcycles are commonly used as vehicles in Thailand and are also the main cause of traffic deaths. A motorcycle characteristic that causes an accident is riding on the wrong side of the road. The key parameters explaining this characteristic are speed and lateral position. In this study, the motorcycle speed is measured by a digital indicator while the lateral position is measured using white color tape, which is placed perpendicular to the motorcycle direction. The collected data shows that the speeds are between 6.59 and 21.49 km/h, and the lateral positions are between 0.52 and 0.96 m from the outermost lanes of the road. Moreover, the statistical analysis indicated that it seems most people riding on the wrong side of the road tend to ride slowly and stay as close to the edge of the footpath as possible. The results of this study could be potentially used for designing evasive maneuvers for autonomous vehicles.
{"title":"A Study of Motorcycle riding Characteristics on the wrong direction in Thailand","authors":"Pichet Janpla, S. Chanthanumataporn, S. Sitthiracha","doi":"10.1109/RI2C56397.2022.9910307","DOIUrl":"https://doi.org/10.1109/RI2C56397.2022.9910307","url":null,"abstract":"Motorcycles are commonly used as vehicles in Thailand and are also the main cause of traffic deaths. A motorcycle characteristic that causes an accident is riding on the wrong side of the road. The key parameters explaining this characteristic are speed and lateral position. In this study, the motorcycle speed is measured by a digital indicator while the lateral position is measured using white color tape, which is placed perpendicular to the motorcycle direction. The collected data shows that the speeds are between 6.59 and 21.49 km/h, and the lateral positions are between 0.52 and 0.96 m from the outermost lanes of the road. Moreover, the statistical analysis indicated that it seems most people riding on the wrong side of the road tend to ride slowly and stay as close to the edge of the footpath as possible. The results of this study could be potentially used for designing evasive maneuvers for autonomous vehicles.","PeriodicalId":403083,"journal":{"name":"2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C)","volume":"4 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":"130317835","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 : 2022-08-04DOI: 10.1109/RI2C56397.2022.9910316
Shalermchon Tangwachirapan, Panupong Sawangsri, Pitchvara Pinitkiatisakul, P. Thongdit, W. Thaiwirot
This paper presents breast cancer detection based on microwave imaging using single antipodal Vivaldi antenna. The breast cancer detection system mainly consists of antipodal Vivaldi antenna, vector network analyzer, breast phantom, and rotation platform. The artificial breast phantom is fabricated by using gelatin-oil mixture technology as fat and cancerous cell. The difference for relative permittivity and conductivity between cancerous cell and normal tissue is around 4:1 and 6:1, respectively. The process of breast cancer detection and imaging are presented. The measured results show that the cancerous cell embedded inside the breast phantom can be detected. In addition, the graphical user interface (GUI) for creating the 2D MWI is developed using MATLAB.
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