2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)最新文献_第9页

Development of a Class Materials Search System using LINE Chatbot 利用 LINE 聊天机器人开发班级材料搜索系统

2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2023-05-09 DOI: 10.1109/ECTI-CON58255.2023.10153145

Budsakorn Thaiprasert, Pannawat Chimprasert, Warunya Saeninyod, Phattanard Phattanasri, Aranee Pangarad

{"title":"Development of a Class Materials Search System using LINE Chatbot","authors":"Budsakorn Thaiprasert, Pannawat Chimprasert, Warunya Saeninyod, Phattanard Phattanasri, Aranee Pangarad","doi":"10.1109/ECTI-CON58255.2023.10153145","DOIUrl":"https://doi.org/10.1109/ECTI-CON58255.2023.10153145","url":null,"abstract":"Self-learning enables students to learn at their own pace. The process itself has changed significantly from reading textbooks to viewing ebooks on electronic devices, asking questions on online discussion boards or watching video clips from other parts of the world. The change has come with a massive increase in the amount of information available. It is time-consuming for a student to obtain the exact item of class material wanted. We developed a search system that can store relevant class materials in its own database and give suggestions when a student needs them. The system is built as a chatbot in the LINE application, using the NLP algorithm, to interact between users and the system via Artificial Intelligence technology. The system was developed for two subjects in Electrical Engineering: Signals and Systems and Control Systems. It was able to correctly interpret the users’ requests with up to 80% accuracy. It can give suggestions of class materials based on rankings given by users’ scores. This search system makes self-learning less time consuming and may provide more encouragement to students.","PeriodicalId":340768,"journal":{"name":"2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"23 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":"128024864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Chiang Rai Phra That Nine Choms Attraction Promoting Mobile Application for Cultural Tourism 清莱九宫景区推广文化旅游移动应用

2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2023-05-09 DOI: 10.1109/ECTI-CON58255.2023.10153256

Kamonlak Chaidee, Kanchana Boontasri, E. Chaidee, Wiwat Wongchai, Suphakorn Phamon, Suruswadee Preedee

引用次数: 0

Virtual Reality for Railway Signaling System Training 虚拟现实在铁路信号系统培训中的应用

2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2023-05-09 DOI: 10.1109/ECTI-CON58255.2023.10153277

P. Vanichchanunt, Tanakorn Tanmalaporn, Chatchai Suthamvijit, Suebphong Noisri, L. Wuttisittikulkij, Witthawas Pongyart, Sukritta Paripurana

{"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}

引用次数: 1

Centralized Market Platform for Electric Vehicles in Residential Distribution Systems 住宅配电系统电动汽车集中市场平台

2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2023-05-09 DOI: 10.1109/ECTI-CON58255.2023.10153239

Pikkanate Angaphiwatchawal, Arnon Teawnarong, S. Chaitusaney, N. Chattranont, T. Menaneatra, Nipawat Phetriang, Chutimon Lertmanokul, Nantiporn Nateprapai

{"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}

引用次数: 0

Image-based Thai Food Recognition and Calorie Estimation using Machine Learning Techniques 基于图像的泰国食物识别和使用机器学习技术的卡路里估计

2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2023-05-09 DOI: 10.1109/ECTI-CON58255.2023.10153183

Rattikorn Sombutkaew, O. Chitsobhuk

{"title":"Image-based Thai Food Recognition and Calorie Estimation using Machine Learning Techniques","authors":"Rattikorn Sombutkaew, O. Chitsobhuk","doi":"10.1109/ECTI-CON58255.2023.10153183","DOIUrl":"https://doi.org/10.1109/ECTI-CON58255.2023.10153183","url":null,"abstract":"A wide range of health-related innovation have been developed to serve as an alternative personal health monitoring and tracking on exercise and dietary planning. The goal is to enable individuals to keep themselves healthy and disease-free. Assessing food calories helps to assist consumers in determining their calories intake each meal, leading to a strategy that regulates the amount of food they consume, and contributing to improve a control on nutrition consumption and weight loss. In this paper, we proposed a calorie estimation system on an android mobile application. Calorie estimation is performed using a food image captured from a mobile camera and the depth image from AR core library. The food area is segmented using our finetuned Mask R-CNN with Thai food image dataset. Finally, machine learning methods including Linear Regression, Support Vector Regression, K-Nearest Neighbor, and Deep Neural Network are used to estimate the amount of food calories included in a meal of each image. As a result, Deep Neural Network offers best prediction results with the most accurate prediction, the lowest error rate and the highest R-Square score.","PeriodicalId":340768,"journal":{"name":"2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"27 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":"134003960","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Low Latency PDM-to-PCM Decoder 低延迟pdm - pcm解码器

2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2023-05-09 DOI: 10.1109/ECTI-CON58255.2023.10153161

Rithea Sum, Chanon Khongprasongsiri, W. Suwansantisuk, P. Kumhom

{"title":"Low Latency PDM-to-PCM Decoder","authors":"Rithea Sum, Chanon Khongprasongsiri, W. Suwansantisuk, P. Kumhom","doi":"10.1109/ECTI-CON58255.2023.10153161","DOIUrl":"https://doi.org/10.1109/ECTI-CON58255.2023.10153161","url":null,"abstract":"The output from a digital Micro-Electrical- Mechanical System (MEMS) microphone in the form of PDM often needs to be converted to PCM before further processing, as PCM signals are easier to analyze. The current hardware-based PDM-to-PCM converters uses cascaded integrator-comb (CIC) based and finite impulse response (FIR) filters, which result in high hardware utilization to achieve a high signal-to-noise ratio (SNR). To strike a balance between performance and power consumption, a one-dimensional convolutional neural network (1D-CNN) has been applied in a PDM-to-PCM converter. Although this method resolves the aforementioned issues, an improvement to the system latency and throughput is possible. This paper proposes a fast method for a hardware-based PDM-to-PCM converter by cascading a digital low-pass filter and an existing ID-CNN-based low-pass filter. The approximation results show that the output PCM signal has the mean absolute error (MAE) of only 0.0026 compared to the original PCM signal. The proposed method has been implemented on the Xilinx PYNQ-ZI field programmable gate array (FPGA). While there is a slight increase in hardware utilization due to an additional required hardware, the latency has improved by 61% compared to the existing ID-CNN-based PDM-to-PCM converter. This research reduces the time taken to process each PCM data from PDM in a hardware-based system.","PeriodicalId":340768,"journal":{"name":"2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"9 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":"125071965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Three-phase Self-Excited Induction Generator Operating as Single-phase Induction Generator using Static VAR Compensator 采用静态无功补偿器的三相自激感应发电机作为单相感应发电机工作

2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2023-05-09 DOI: 10.1109/ECTI-CON58255.2023.10153314

S. Yukhalang, T. Sopapirm, V. Kinnares

引用次数: 0

Exams Item Analysis, Online Examination, and Education Evaluation System Via Internet 考试项目分析，在线考试，基于互联网的教育评价系统

2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2023-05-09 DOI: 10.1109/ECTI-CON58255.2023.10153296

Kamonlak Chaidee, Kanchana Boontasri, E. Chaidee, Kittichai Punthura, Narong Kumtip, Yotsanan Pankham

{"title":"Exams Item Analysis, Online Examination, and Education Evaluation System Via Internet","authors":"Kamonlak Chaidee, Kanchana Boontasri, E. Chaidee, Kittichai Punthura, Narong Kumtip, Yotsanan Pankham","doi":"10.1109/ECTI-CON58255.2023.10153296","DOIUrl":"https://doi.org/10.1109/ECTI-CON58255.2023.10153296","url":null,"abstract":"The objective of this study is to develop an exams item bank management system on the internet. The exam item analysis system is used to determine the reliability of the exams using K-R 20 and K-R 21 formulas. The difficulty and power of discrimination values are determined using a choice analysis and percentages of high and lower groups technique. The create exams set system can be performed randomly or identified through the difficulty level. The examination can be performed online and the exam results can be immediately announced. The grading system is used to support the decision-making to evaluate learning achievement. The system’s accuracy was tested and found to be accurate compared with the hand calculation results. The system was tested with a sample group and satisfaction was assessed through questionnaires. The satisfaction of teachers and students was highest, while that of administrators was high. The developed exams item bank management system operates as a web application with a security system for supporting in learning activity.","PeriodicalId":340768,"journal":{"name":"2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"55 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":"117311072","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Development of LVDT Demodulator Circuit Based on FPAA Chip 基于FPAA芯片的LVDT解调电路的研制

2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2023-05-09 DOI: 10.1109/ECTI-CON58255.2023.10153207

K. Angkeaw, Surachai Chanchay, P. Thongdit

引用次数: 0

Trap for Deactivation of Conducting Particle in Gas-insulated Switchgear 气体绝缘开关设备中导电微粒失活的捕集器

2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2023-05-09 DOI: 10.1109/ECTI-CON58255.2023.10153243

N. Phansiri, N. Tanthanuch, B. Techaumnat

{"title":"Trap for Deactivation of Conducting Particle in Gas-insulated Switchgear","authors":"N. Phansiri, N. Tanthanuch, B. Techaumnat","doi":"10.1109/ECTI-CON58255.2023.10153243","DOIUrl":"https://doi.org/10.1109/ECTI-CON58255.2023.10153243","url":null,"abstract":"This paper presents the study of the simple particle traps for deactivation particle movement in gas insulated switchgears. The study aims to investigate the designed trap to stop the movement of the particle by using the dielectrophoretic (DEP) force in the case of moving along the dielectric surface placed on the ground electrode. Numerical calculation results show electric field distribution in the channel between high voltage and ground electrodes with and without particle trap to clarify the particle motion under the electric field. Particle traps are fabricated with silicone and polyimide. The particle deactivation performance is observed for two types of particle traps. The experimental results show that the first type of trap can deactivate 53% and 87% of all experiment conditions for aluminum and stainless-steel particle, respectively. The first type and second type can trap aluminum particles at 10% and 80%, respectively. The particle’s velocity under an electric field is an important parameter in predicting the trap performance.","PeriodicalId":340768,"journal":{"name":"2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"25 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":"127981712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0