Pub Date : 2022-08-04DOI: 10.1109/RI2C56397.2022.9910325
W. Phaphan, Thanee Ananitthi, I. Abdullahi, Sthaporn Thepsumritporn
This paper is interested in creating an R language package for a mixture generalized gamma distribution as Suksaengrakcharoen and Bodhisuwan [1] introduced. In order to be easy for practical use and be highly beneficial to the applications of engineering and medical science, the R-language package consists of four functions: (1) a probability density function (2) a distribution function (3) a random generation, and (4) a parameter estimation function.
{"title":"MGGD: R Package for Mixture Generalized Gamma Distribution","authors":"W. Phaphan, Thanee Ananitthi, I. Abdullahi, Sthaporn Thepsumritporn","doi":"10.1109/RI2C56397.2022.9910325","DOIUrl":"https://doi.org/10.1109/RI2C56397.2022.9910325","url":null,"abstract":"This paper is interested in creating an R language package for a mixture generalized gamma distribution as Suksaengrakcharoen and Bodhisuwan [1] introduced. In order to be easy for practical use and be highly beneficial to the applications of engineering and medical science, the R-language package consists of four functions: (1) a probability density function (2) a distribution function (3) a random generation, and (4) a parameter estimation function.","PeriodicalId":403083,"journal":{"name":"2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C)","volume":"23 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":"128664356","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/RI2C56397.2022.9910282
Lukas Viebrock, C. Netramai
Global challenges in agriculture demand continuous innovation, nowadays mostly driven by digital farming solutions. Connected agricultural machines with telematics are already a common appearance in developed markets such as Europe and North America. However, Asia offers still largely untapped potential in the agricultural sector. Enabling telematics for complex agricultural machines such as combine harvesters offers considerable benefits but also comes with a multitude of interconnected components and interdisciplinary technologies. Unknown challenges make it difficult to assess the cost, development effort and process planning for the expansion which creates a significant market entry barrier for industrial companies. This paper provides a holistic view of technical challenges categorized into effects from the different application environment, the suitability of the connectivity hardware and the legal boundaries related to the architectural system design. Finally, all necessary analysis steps and interconnections are visualized in a generic workflow to significantly improve the decision making process.
{"title":"Optimized Architectural Adaption using a Generic Workflow for Telematics on Harvesters in Asia","authors":"Lukas Viebrock, C. Netramai","doi":"10.1109/RI2C56397.2022.9910282","DOIUrl":"https://doi.org/10.1109/RI2C56397.2022.9910282","url":null,"abstract":"Global challenges in agriculture demand continuous innovation, nowadays mostly driven by digital farming solutions. Connected agricultural machines with telematics are already a common appearance in developed markets such as Europe and North America. However, Asia offers still largely untapped potential in the agricultural sector. Enabling telematics for complex agricultural machines such as combine harvesters offers considerable benefits but also comes with a multitude of interconnected components and interdisciplinary technologies. Unknown challenges make it difficult to assess the cost, development effort and process planning for the expansion which creates a significant market entry barrier for industrial companies. This paper provides a holistic view of technical challenges categorized into effects from the different application environment, the suitability of the connectivity hardware and the legal boundaries related to the architectural system design. Finally, all necessary analysis steps and interconnections are visualized in a generic workflow to significantly improve the decision making process.","PeriodicalId":403083,"journal":{"name":"2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C)","volume":"175 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":"129503493","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/RI2C56397.2022.9910283
P. Dey, C. Sumpavakup, P. Kirawanich
This paper presents mitigation of grids’ low-frequency oscillations is carried in presence of railway traction load. In order to better deal with these low frequency oscillations, this study has considered the vehicle-grid cascade system. The numerical study of the single-machine infinite bus (SMIB) system has evaluated the influence of electric traction vehicle (ETV) by establishing overall small signal model of the grid connected vehicle. The performance of the system is compared for ETV-connected SMIB and ETV-connected SMIB equipped with linear quadratic regulator (LQR) controller. It is observed that modified SMIB power system with LQR-based control is superior to others in improving system responses with significantly reduced settling time, rise time, and peak overshoot.
{"title":"Optimal Control of Grid Connected Electric Railways to Mitigate Low Frequency Oscillations","authors":"P. Dey, C. Sumpavakup, P. Kirawanich","doi":"10.1109/RI2C56397.2022.9910283","DOIUrl":"https://doi.org/10.1109/RI2C56397.2022.9910283","url":null,"abstract":"This paper presents mitigation of grids’ low-frequency oscillations is carried in presence of railway traction load. In order to better deal with these low frequency oscillations, this study has considered the vehicle-grid cascade system. The numerical study of the single-machine infinite bus (SMIB) system has evaluated the influence of electric traction vehicle (ETV) by establishing overall small signal model of the grid connected vehicle. The performance of the system is compared for ETV-connected SMIB and ETV-connected SMIB equipped with linear quadratic regulator (LQR) controller. It is observed that modified SMIB power system with LQR-based control is superior to others in improving system responses with significantly reduced settling time, rise time, and peak overshoot.","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":"128863396","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/RI2C56397.2022.9910292
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/RI2C56397.2022.9910333
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/RI2C56397.2022.9910334
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/RI2C56397.2022.9910316
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.
{"title":"Breast Cancer Detection Based Microwave Imaging Using Single Antipodal Vivaldi Antenna","authors":"Shalermchon Tangwachirapan, Panupong Sawangsri, Pitchvara Pinitkiatisakul, P. Thongdit, W. Thaiwirot","doi":"10.1109/RI2C56397.2022.9910316","DOIUrl":"https://doi.org/10.1109/RI2C56397.2022.9910316","url":null,"abstract":"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.","PeriodicalId":403083,"journal":{"name":"2022 Research, Invention, and Innovation Congress: Innovative Electricals and Electronics (RI2C)","volume":"154 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":"127306167","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/RI2C56397.2022.9910305
Md. Nazmush Shakib Shahi, Sheikh Samit Muhaimin, M. M. Nishat, Fahim Faisal, Mohammad Saifullah Bin Motahar
With rapid influx in population, number of motor vehicles are increasing hastily which demands effective parking system in the urban areas. In this context, an VHSIC (very high-speed integrated circuit) Hardware Description Language (VHDL) based parking system is designed to propose a well-organized and automated parking system. The proposed system is equipped with separate entrance and exit gates which ensure vehicle movement in one direction inside the parking area. As a result, the traffic congestion inside and outside of the parking area is drastically reduced. In this work, Finite State Machine (FSM) is utilized where a password protected secured parking system is exhibited which does not allow any vehicle to enter without verified password. Total four sensors (two at entrance and two at exit) are used to sense the vehicles and couples of sensors are used in each gate to control the opening and closing operation of the gates. The total available space is counted according to the sensor data in real time.
{"title":"Automated Vehicle Access and Exit Control: A Smart Parking Management System using Finite State Machine in VHDL","authors":"Md. Nazmush Shakib Shahi, Sheikh Samit Muhaimin, M. M. Nishat, Fahim Faisal, Mohammad Saifullah Bin Motahar","doi":"10.1109/RI2C56397.2022.9910305","DOIUrl":"https://doi.org/10.1109/RI2C56397.2022.9910305","url":null,"abstract":"With rapid influx in population, number of motor vehicles are increasing hastily which demands effective parking system in the urban areas. In this context, an VHSIC (very high-speed integrated circuit) Hardware Description Language (VHDL) based parking system is designed to propose a well-organized and automated parking system. The proposed system is equipped with separate entrance and exit gates which ensure vehicle movement in one direction inside the parking area. As a result, the traffic congestion inside and outside of the parking area is drastically reduced. In this work, Finite State Machine (FSM) is utilized where a password protected secured parking system is exhibited which does not allow any vehicle to enter without verified password. Total four sensors (two at entrance and two at exit) are used to sense the vehicles and couples of sensors are used in each gate to control the opening and closing operation of the gates. The total available space is counted according to the sensor data in real time.","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":"130167984","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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