Pub Date : 2023-05-09DOI: 10.1109/ECTI-CON58255.2023.10153282
Pantree Khompittaya, K. Chooruang, Suttipat Srisuk
This paper presents an ultra low-power RMS-to-DC converter circuit for biomedical. The circuit comprises of absolute value circuit and RMS-to-DC converter with feedback. The circuit employs low power CMOS technology that operate in subthreshold region. We found that the purpose circuit can work very well at low voltage of ± 0.3V and low power consumption at 75.18 pW. The HSPICE simulation results were in a great agreement with the theoretical prediction.
{"title":"An Ultra Low-Power RMS-to-DC Converter for Biomedical Application","authors":"Pantree Khompittaya, K. Chooruang, Suttipat Srisuk","doi":"10.1109/ECTI-CON58255.2023.10153282","DOIUrl":"https://doi.org/10.1109/ECTI-CON58255.2023.10153282","url":null,"abstract":"This paper presents an ultra low-power RMS-to-DC converter circuit for biomedical. The circuit comprises of absolute value circuit and RMS-to-DC converter with feedback. The circuit employs low power CMOS technology that operate in subthreshold region. We found that the purpose circuit can work very well at low voltage of ± 0.3V and low power consumption at 75.18 pW. The HSPICE simulation results were in a great agreement with the theoretical prediction.","PeriodicalId":340768,"journal":{"name":"2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127777939","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}
In this paper, we use transfer learning technique to train a custom Thai Buddha amulet coin classifier. The trained model is deployed on a server allowing a dedicated mobile application to request for class prediction results. The trained model achieves good accuracy using relatively small training image dataset. It is important to note that the primary objective of this work is not to evaluate the authenticity and quality of an amulet, but rather to create a prototype system that can be used as a tool to classify types of amulets.
{"title":"Development of Mobile Application for Thai Buddha Amulet Classification","authors":"Pakorn Ubolkosold, Chaiyut Wuwanich, Tanawat Thuamthet, Sahussawat Kittiwatmethi, Phurit Duangmanee, Wongsakorn Jiraworapitak, Thummathus Boonlerd","doi":"10.1109/ECTI-CON58255.2023.10153284","DOIUrl":"https://doi.org/10.1109/ECTI-CON58255.2023.10153284","url":null,"abstract":"In this paper, we use transfer learning technique to train a custom Thai Buddha amulet coin classifier. The trained model is deployed on a server allowing a dedicated mobile application to request for class prediction results. The trained model achieves good accuracy using relatively small training image dataset. It is important to note that the primary objective of this work is not to evaluate the authenticity and quality of an amulet, but rather to create a prototype system that can be used as a tool to classify types of amulets.","PeriodicalId":340768,"journal":{"name":"2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"4 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130506372","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}
The purpose of this article is to study the effect of different temperatures on the clearing of dry pressboard insulation and compare the effects of different temperatures on the process of impregnating pressboard with transformer oil mixed with nanoparticles. In this research, a conducting magnetite ($Fe_{3}O_{4}$) nanoparticle with a size not exceeding 50 nm is selected, and the concentration of nanoparticles used in this research is 0.01% of the volume of transformer oil. In addition, Span 80 surfactants or emulsifiers have been selected to improve the compatibility of transformer oil mixed with nanoparticles. In this research article, the electrical properties of pressboard insulators are tested with an AC voltage and the lightning impulse voltage test on both the positive and negative poles according to international standards. The test results showed that by drying pressboard insulation at 105°C and then impregnating pressboard insulation in transformer oil mixed with nanoparticles at 80°C, the pressboard insulation was dielectrically strong for AC voltage and had the best lightning impulse voltage.
{"title":"Experimental Investigation of the Effect of Different Temperatures on Pressboard Impregnated with Transformer Oil-Based Nanofluids","authors":"Chinnapat Suriyasakulpong, Jirapong Jittrechao, Nutcha Chanvijit, Nattaphong Soobun, Kiattisak Chaosuan, Tanakorn Nuiphukhiao, Apichat Tubtimsai, P. Muangpratoom","doi":"10.1109/ECTI-CON58255.2023.10153231","DOIUrl":"https://doi.org/10.1109/ECTI-CON58255.2023.10153231","url":null,"abstract":"The purpose of this article is to study the effect of different temperatures on the clearing of dry pressboard insulation and compare the effects of different temperatures on the process of impregnating pressboard with transformer oil mixed with nanoparticles. In this research, a conducting magnetite ($Fe_{3}O_{4}$) nanoparticle with a size not exceeding 50 nm is selected, and the concentration of nanoparticles used in this research is 0.01% of the volume of transformer oil. In addition, Span 80 surfactants or emulsifiers have been selected to improve the compatibility of transformer oil mixed with nanoparticles. In this research article, the electrical properties of pressboard insulators are tested with an AC voltage and the lightning impulse voltage test on both the positive and negative poles according to international standards. The test results showed that by drying pressboard insulation at 105°C and then impregnating pressboard insulation in transformer oil mixed with nanoparticles at 80°C, the pressboard insulation was dielectrically strong for AC voltage and had the best lightning impulse voltage.","PeriodicalId":340768,"journal":{"name":"2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130347300","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 : 2023-05-09DOI: 10.1109/ECTI-CON58255.2023.10153205
S. Tiacharoen
The bat algorithm (BA) is a heuristic optimization method based on the loudness and the rate of ultrasonic bursts. It has been simulated bats use echolocation for foraging. It has been proven that this algorithm has a good ability to search for the global optimum, but it suffers from slow searching speed in the last iterations. This paper proposes a recover fractional Lévy flight bat algorithm (rFLFBA) to improve BA by adjusting the inertia weight of velocity update instead of fractional Lévy flight from fractional Lévy flight bat algorithm (FLFBA). rFLFBA is deployed as learning method for artificial neural networks (ANNs) to increase the efficiencies in avoiding the local minima problem and the slow convergence rate of bat algorithms. The results are compared with a Particle Swarm optimization and Gravitational Search Algorithm (PSOGSA), Grey Wolf optimizer (GWO), and FLFBA learning methods for ANNs. The resulting classification rate of ANNs trained with GWO, PSOGSA, and FLFBA is also examined. The simulation results show that rFLFBA better than GWO and PSOGSA for training ANNs in terms of convergence curve. It is also proven that an ANN trained with rFLFBA has better accuracy than one trained with FLFBA.
{"title":"Recover Fractional Lévy Flight Bat Algorithm for Optimization in Artificial Neural Networks Model","authors":"S. Tiacharoen","doi":"10.1109/ECTI-CON58255.2023.10153205","DOIUrl":"https://doi.org/10.1109/ECTI-CON58255.2023.10153205","url":null,"abstract":"The bat algorithm (BA) is a heuristic optimization method based on the loudness and the rate of ultrasonic bursts. It has been simulated bats use echolocation for foraging. It has been proven that this algorithm has a good ability to search for the global optimum, but it suffers from slow searching speed in the last iterations. This paper proposes a recover fractional Lévy flight bat algorithm (rFLFBA) to improve BA by adjusting the inertia weight of velocity update instead of fractional Lévy flight from fractional Lévy flight bat algorithm (FLFBA). rFLFBA is deployed as learning method for artificial neural networks (ANNs) to increase the efficiencies in avoiding the local minima problem and the slow convergence rate of bat algorithms. The results are compared with a Particle Swarm optimization and Gravitational Search Algorithm (PSOGSA), Grey Wolf optimizer (GWO), and FLFBA learning methods for ANNs. The resulting classification rate of ANNs trained with GWO, PSOGSA, and FLFBA is also examined. The simulation results show that rFLFBA better than GWO and PSOGSA for training ANNs in terms of convergence curve. It is also proven that an ANN trained with rFLFBA has better accuracy than one trained with FLFBA.","PeriodicalId":340768,"journal":{"name":"2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130845630","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 : 2023-05-09DOI: 10.1109/ECTI-CON58255.2023.10153195
Walarcheth Thongrailuck, Witthawas Pongyart
This paper presents an application of Field Programmable Analog Array (FPAA) in the implementation of an energy-based controller to control the voltage of a buckboost converter. The converter is a non-linear and non-minimum phase system with variable structure, which is an interesting topic in control engineering. The non-linear controller obtained using the port-Hamiltonian approach exhibits impressive performance. However, parasitic resistance in the inductor and other components brings steady state error in the output. To solve this issue, an outer loop with an integrator is added. The use of an FPAA makes it easier to implement the developed controller compared to using a microcontroller because the controller can be directly synthesized by connecting the analog blocks.
{"title":"Implementation of Energy based Controller for Buck Boost Converter using FPAA","authors":"Walarcheth Thongrailuck, Witthawas Pongyart","doi":"10.1109/ECTI-CON58255.2023.10153195","DOIUrl":"https://doi.org/10.1109/ECTI-CON58255.2023.10153195","url":null,"abstract":"This paper presents an application of Field Programmable Analog Array (FPAA) in the implementation of an energy-based controller to control the voltage of a buckboost converter. The converter is a non-linear and non-minimum phase system with variable structure, which is an interesting topic in control engineering. The non-linear controller obtained using the port-Hamiltonian approach exhibits impressive performance. However, parasitic resistance in the inductor and other components brings steady state error in the output. To solve this issue, an outer loop with an integrator is added. The use of an FPAA makes it easier to implement the developed controller compared to using a microcontroller because the controller can be directly synthesized by connecting the analog blocks.","PeriodicalId":340768,"journal":{"name":"2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115289070","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 : 2023-05-09DOI: 10.1109/ECTI-CON58255.2023.10153277
P. Vanichchanunt, Tanakorn Tanmalaporn, Chatchai Suthamvijit, Suebphong Noisri, L. Wuttisittikulkij, Witthawas Pongyart, Sukritta Paripurana
The railway signaling system is an important part of the rail systems that is used for railway traffic control and safety. At present, most of railway signaling labs rely on physical models and devices which require large space and regular maintenance. Emerging of Virtual Reality (VR) offers more flexibility to many applications including education, training, and testing since its operations are based on software and visualization. Using VR allows installation, updating, adjustment and maintenance to be performed more easily and effectively with effective cost, time, and space requirement. This paper aims to develop a virtual reality lab for training in railway signaling and control. The VR lab of railway signaling simulation consists of two stations, trains, tracks, a virtual dashboard and signaling posts including point machines. All models used in this paper are created by Blender which is a free software tool for 3D modeling. The VR environment of the lab is created by Unity which is a software platform for VR development. The functions of all developed models are programed using C# language. The basic route setting and the usage of subsidiary signal e.g., call-on and shut signal are demonstrated in this paper. The test results ensure the capability of the developed VR lab for training the target groups including students, engineers, and train drivers.
{"title":"Virtual Reality for Railway Signaling System Training","authors":"P. Vanichchanunt, Tanakorn Tanmalaporn, Chatchai Suthamvijit, Suebphong Noisri, L. Wuttisittikulkij, Witthawas Pongyart, Sukritta Paripurana","doi":"10.1109/ECTI-CON58255.2023.10153277","DOIUrl":"https://doi.org/10.1109/ECTI-CON58255.2023.10153277","url":null,"abstract":"The railway signaling system is an important part of the rail systems that is used for railway traffic control and safety. At present, most of railway signaling labs rely on physical models and devices which require large space and regular maintenance. Emerging of Virtual Reality (VR) offers more flexibility to many applications including education, training, and testing since its operations are based on software and visualization. Using VR allows installation, updating, adjustment and maintenance to be performed more easily and effectively with effective cost, time, and space requirement. This paper aims to develop a virtual reality lab for training in railway signaling and control. The VR lab of railway signaling simulation consists of two stations, trains, tracks, a virtual dashboard and signaling posts including point machines. All models used in this paper are created by Blender which is a free software tool for 3D modeling. The VR environment of the lab is created by Unity which is a software platform for VR development. The functions of all developed models are programed using C# language. The basic route setting and the usage of subsidiary signal e.g., call-on and shut signal are demonstrated in this paper. The test results ensure the capability of the developed VR lab for training the target groups including students, engineers, and train drivers.","PeriodicalId":340768,"journal":{"name":"2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129482667","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 : 2023-05-09DOI: 10.1109/ECTI-CON58255.2023.10153239
Pikkanate Angaphiwatchawal, Arnon Teawnarong, S. Chaitusaney, N. Chattranont, T. Menaneatra, Nipawat Phetriang, Chutimon Lertmanokul, Nantiporn Nateprapai
The number of electric vehicles (EVs) tends to increase steadily on a global scale. This causes the challenges in energy market for EVs in terms of electricity costs and technical effects on distribution systems. This paper proposes a centralized market platform managed by a distribution system operator (DSO) to determine the appropriate and appealing electricity costs for charging an EV without violating the power system’s limits: bus voltage level, line capacity, and transformer loading limits. To complete the operations of the centralized market platform, the EV power and the bidding price from each EV owner who wishes to participate in the centralized market platform are collected through a single auction. The electricity costs for charging an EV are calculated by taking into account the maximum EV power as determined by the DSO so that the power system’ limits are not violated. This paper modifies and employs a Thailand-typical 380-V distribution test system during off-peak and peak hours for the case study. The results show that during off-peak hours, the electricity costs for charging an EV range between 2.40 and 2.50 THB/kWh, while during peak hours, the electricity costs range between 3.50 and 5.40 THB/kWh. The decrease in EV charging costs will encourage EV owners to utilize their EVs.
{"title":"Centralized Market Platform for Electric Vehicles in Residential Distribution Systems","authors":"Pikkanate Angaphiwatchawal, Arnon Teawnarong, S. Chaitusaney, N. Chattranont, T. Menaneatra, Nipawat Phetriang, Chutimon Lertmanokul, Nantiporn Nateprapai","doi":"10.1109/ECTI-CON58255.2023.10153239","DOIUrl":"https://doi.org/10.1109/ECTI-CON58255.2023.10153239","url":null,"abstract":"The number of electric vehicles (EVs) tends to increase steadily on a global scale. This causes the challenges in energy market for EVs in terms of electricity costs and technical effects on distribution systems. This paper proposes a centralized market platform managed by a distribution system operator (DSO) to determine the appropriate and appealing electricity costs for charging an EV without violating the power system’s limits: bus voltage level, line capacity, and transformer loading limits. To complete the operations of the centralized market platform, the EV power and the bidding price from each EV owner who wishes to participate in the centralized market platform are collected through a single auction. The electricity costs for charging an EV are calculated by taking into account the maximum EV power as determined by the DSO so that the power system’ limits are not violated. This paper modifies and employs a Thailand-typical 380-V distribution test system during off-peak and peak hours for the case study. The results show that during off-peak hours, the electricity costs for charging an EV range between 2.40 and 2.50 THB/kWh, while during peak hours, the electricity costs range between 3.50 and 5.40 THB/kWh. The decrease in EV charging costs will encourage EV owners to utilize their EVs.","PeriodicalId":340768,"journal":{"name":"2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128364577","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 : 2023-05-09DOI: 10.1109/ECTI-CON58255.2023.10153280
S. Wisetphanichkij
This paper proposes a linear range enhancement circuit for Linear Variable Differential Transformer (LVDT). The nonlinear is compensated with a signal obtained from an inverse hyperbolic tangent function circuit and with the appropriate gain settings within the circuit. The efficiency of the proposed circuit depends on the accuracy of the signal obtained by the inverse hyperbolic tangent function circuit. The simulation results with Pspice® program demonstrate the efficiency of the proposed circuit for enhancing the linear operating distance of the transducer. Under a relative error a(%) of 2.2%, the linear operating range is improved from ± 9mm to ± 35mm for LVDT Kn=250(kn=0.1) at ± 37mm full stroke length, which is much wider compared to the signal obtained from the transducer before the improvement.
{"title":"Near Full Stroke Length Linear Range Enhancement Circuit for Linear Variable Differential Transformer (LVDT)","authors":"S. Wisetphanichkij","doi":"10.1109/ECTI-CON58255.2023.10153280","DOIUrl":"https://doi.org/10.1109/ECTI-CON58255.2023.10153280","url":null,"abstract":"This paper proposes a linear range enhancement circuit for Linear Variable Differential Transformer (LVDT). The nonlinear is compensated with a signal obtained from an inverse hyperbolic tangent function circuit and with the appropriate gain settings within the circuit. The efficiency of the proposed circuit depends on the accuracy of the signal obtained by the inverse hyperbolic tangent function circuit. The simulation results with Pspice® program demonstrate the efficiency of the proposed circuit for enhancing the linear operating distance of the transducer. Under a relative error a(%) of 2.2%, the linear operating range is improved from ± 9mm to ± 35mm for LVDT Kn=250(kn=0.1) at ± 37mm full stroke length, which is much wider compared to the signal obtained from the transducer before the improvement.","PeriodicalId":340768,"journal":{"name":"2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128624557","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 : 2023-05-09DOI: 10.1109/ECTI-CON58255.2023.10153134
Satida Sookpong, Sasin Phimsiri, Teepakorn Tosawadi, Pakcheera Choppradit, V. Suttichaya, Chaitat Utintu, Ek Thamwiwatthana
Corrosion is one of the biggest problems that can lead to fatal disasters in the industry. Investigate corrosion and perform timely maintenance on the asset to prevent corrosion issues. However, the investigation of the inspector onsite can lead to a time-consuming and dangerous problem. For that reason, corrosion detection from offshore asset images is necessary. This paper proposes the implementation of a segmentation technique for automatically detecting corrosion damage on oil and gas offshore critical assets. We compare three semantic segmentation architectures, namely UNET, PSPNet, and vision transformer. The image data was collected by unmanned aerial vehicles (UAV). The experiment also compared the full-image dataset and sliced-image dataset with 512 × 512 pixels of the image. The results are calculated using the F1 score and IoU score of the predicted and annotated mask. The experiment shows that ViT-Adapter trained with a full-image dataset receives the best IoU score and F1 score, which are 0.8964 and 0.9451, respectively. However, the specialist inspector prefers the result from the slicing experiment since the slicing prediction offers a more precise corrosion mask.
{"title":"Comparison of Corrosion Segmentation Techniques on Oil and Gas Offshore Critical Assets","authors":"Satida Sookpong, Sasin Phimsiri, Teepakorn Tosawadi, Pakcheera Choppradit, V. Suttichaya, Chaitat Utintu, Ek Thamwiwatthana","doi":"10.1109/ECTI-CON58255.2023.10153134","DOIUrl":"https://doi.org/10.1109/ECTI-CON58255.2023.10153134","url":null,"abstract":"Corrosion is one of the biggest problems that can lead to fatal disasters in the industry. Investigate corrosion and perform timely maintenance on the asset to prevent corrosion issues. However, the investigation of the inspector onsite can lead to a time-consuming and dangerous problem. For that reason, corrosion detection from offshore asset images is necessary. This paper proposes the implementation of a segmentation technique for automatically detecting corrosion damage on oil and gas offshore critical assets. We compare three semantic segmentation architectures, namely UNET, PSPNet, and vision transformer. The image data was collected by unmanned aerial vehicles (UAV). The experiment also compared the full-image dataset and sliced-image dataset with 512 × 512 pixels of the image. The results are calculated using the F1 score and IoU score of the predicted and annotated mask. The experiment shows that ViT-Adapter trained with a full-image dataset receives the best IoU score and F1 score, which are 0.8964 and 0.9451, respectively. However, the specialist inspector prefers the result from the slicing experiment since the slicing prediction offers a more precise corrosion mask.","PeriodicalId":340768,"journal":{"name":"2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125580363","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}
This study aimed to create a mobile application to promote and guide the cultural tourism attraction Phra That Nine Choms in Chiang Rai Province, Thailand. The critical information about Phra That Nine Choms is gathered and analyzed to identify the problem and user requirements. The operation of the mobile application is designed using a use case diagram, class diagram, and sequence diagram. The Java programming language creates the mobile application through the Eclipse program, Android SDK, and JAVA JDK development tools. 95 Thai and foreign tourists tested the resulting application. Their satisfaction was evaluated through a questionnaire and analyzed. The interpreting results showed that the mobile application is suitable for providing travel recommendations and can serve as a guide for future development to support tourism activities, particularly for cultural and local attractions.
本研究旨在创造一个手机应用程式，以推广和指导泰国清莱省的文化旅游景点Phra That Nine Choms。收集和分析Phra That Nine Choms的关键信息，以确定问题和用户需求。使用用例图、类图和序列图来设计移动应用程序的操作。Java编程语言通过Eclipse程序、Android SDK和Java JDK开发工具创建移动应用程序。95名泰国和外国游客测试了最终的应用程序。他们的满意度通过问卷进行评估和分析。解读结果表明，移动应用程序适合提供旅游推荐，可以作为未来发展的指南，以支持旅游活动，特别是文化和当地景点。
{"title":"Chiang Rai Phra That Nine Choms Attraction Promoting Mobile Application for Cultural Tourism","authors":"Kamonlak Chaidee, Kanchana Boontasri, E. Chaidee, Wiwat Wongchai, Suphakorn Phamon, Suruswadee Preedee","doi":"10.1109/ECTI-CON58255.2023.10153256","DOIUrl":"https://doi.org/10.1109/ECTI-CON58255.2023.10153256","url":null,"abstract":"This study aimed to create a mobile application to promote and guide the cultural tourism attraction Phra That Nine Choms in Chiang Rai Province, Thailand. The critical information about Phra That Nine Choms is gathered and analyzed to identify the problem and user requirements. The operation of the mobile application is designed using a use case diagram, class diagram, and sequence diagram. The Java programming language creates the mobile application through the Eclipse program, Android SDK, and JAVA JDK development tools. 95 Thai and foreign tourists tested the resulting application. Their satisfaction was evaluated through a questionnaire and analyzed. The interpreting results showed that the mobile application is suitable for providing travel recommendations and can serve as a guide for future development to support tourism activities, particularly for cultural and local attractions.","PeriodicalId":340768,"journal":{"name":"2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122743547","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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