2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)最新文献_第2页

A DTMOS-based temperature sensor with an inaccuracy of ±0.25°C (3σ) from −20°C to 85°C 基于dtmos的温度传感器，在−20°C到85°C范围内误差为±0.25°C (3σ)

2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2023-05-09 DOI: 10.1109/ECTI-CON58255.2023.10153275

Rom Khanpeth, M. Kongpoon, A. Thanachayanont

引用次数: 0

A Construction of Non-touch Warning Gloves for Performance of Building Electrical Technician 建筑电气技术人员工作无触性警告手套的制作

2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2023-05-09 DOI: 10.1109/ECTI-CON58255.2023.10153295

Tharathip Phurahong, Settasuk Kwuanphet, Theerawat Tibeye

引用次数: 0

Rice Diseases Detection and Localization with Only Image-Level Disease Training Labels 基于图像级疾病训练标签的水稻病害检测与定位

2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2023-05-09 DOI: 10.1109/ECTI-CON58255.2023.10153146

J. Thanawiparat, T. Kasetkasem, T. Patrapornnant, S. Patarapuwadol

{"title":"Rice Diseases Detection and Localization with Only Image-Level Disease Training Labels","authors":"J. Thanawiparat, T. Kasetkasem, T. Patrapornnant, S. Patarapuwadol","doi":"10.1109/ECTI-CON58255.2023.10153146","DOIUrl":"https://doi.org/10.1109/ECTI-CON58255.2023.10153146","url":null,"abstract":"In this paper, we propose a new approach for the detection and classification of rice diseases that combines the use of deep learning and level set methods. Our approach aims to improve the performance of rice disease classification and object detection by using an efficient image processing technique with deep learning. The proposed method will be evaluated based on Mean Average Precision (mAP), Accuracy, Precision, Recall, and F1-score. The results indicate that our proposed method improved the performance for most of the 16 classes of rice diseases and also it was able to improve performance even when using a small amount of labeled data. We also found that our proposed algorithm produced segmentation maps with significantly smaller computational time and the use of bias field estimation helped in the segmentation of complicated foreground objects in images by modifying unnecessary details. Overall, this research has the potential to be a valuable tool in the field of agriculture, where early and accurate detection of rice diseases is crucial for preventing the spread of the disease and maintaining crop yields.","PeriodicalId":340768,"journal":{"name":"2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"10 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":"123929201","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

Vertical plasma drift velocity of F2 layer inferred from ionosonde compared with IRI-2016 Model Over Chumphon, Thailand 泰国春丰地区F2层等离子体垂直漂移速度与IRI-2016模式的比较

2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2023-05-09 DOI: 10.1109/ECTI-CON58255.2023.10153281

Chanjinda Taesuwan, Sakkrapop Khuangsatung, N. Wichaipanich, K. Hozumi

引用次数: 0

Development of train positioning and dead reckoning system using GPS 基于GPS的列车定位航位推算系统的开发

2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2023-05-09 DOI: 10.1109/ECTI-CON58255.2023.10153136

Wisute Ongcunaruck, Witthawas Pongyart, Kamphon Rattanakijkamol

引用次数: 0

Integration of Machine Learning and Kalman Filter Approach for Fingerprint Indoor Positioning 基于机器学习和卡尔曼滤波的指纹室内定位方法

2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2023-05-09 DOI: 10.1109/ECTI-CON58255.2023.10153162

Thanasit Rithanasophon, C. Wannaboon

{"title":"Integration of Machine Learning and Kalman Filter Approach for Fingerprint Indoor Positioning","authors":"Thanasit Rithanasophon, C. Wannaboon","doi":"10.1109/ECTI-CON58255.2023.10153162","DOIUrl":"https://doi.org/10.1109/ECTI-CON58255.2023.10153162","url":null,"abstract":"Fingerprint-based indoor positioning systems are simple and widely used to determine the location of a device inside a building or other enclosed area. However, the accuracy and reliability are still a major concern due to the turbulence in the environment and the presence of noise in the data. This paper presents a machine learning integrated with Kalman filter approach for improving the accuracy of fingerprint-based indoor positioning systems. The proposed approach combines the power of machine learning techniques for feature extraction and classification with the noise-filtering capabilities of the Kalman filter. Implementation is achieved by a real-world dataset collected from multiple Bluetooth low energy access points. The experiment results indicate that the proposed approach significantly improves the accuracy of fingerprint-based indoor positioning compared to traditional machine learning approaches. This study also offers a potential of cost-effective and high accuracy algorithm for the indoor positioning applications.","PeriodicalId":340768,"journal":{"name":"2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"43 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":"129966643","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

Common-mode and Differential-mode Equivalent Circuits for EMI Analysis in Boost Converter 用于升压变换器电磁干扰分析的共模和差模等效电路

2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2023-05-09 DOI: 10.1109/ECTI-CON58255.2023.10153361

Chainarong Wanklad, P. Pairodamonchai

引用次数: 0

Study on the Lightning Location System using Time Difference of Arrival Technique 基于到达时差技术的闪电定位系统研究

2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2023-05-09 DOI: 10.1109/ECTI-CON58255.2023.10153201

Somboon Manuch, T. Chaiyatham, N. Phansiri, Adisit Opachat, Pawarut Kongsombatsuk, W. Khanngern

{"title":"Study on the Lightning Location System using Time Difference of Arrival Technique","authors":"Somboon Manuch, T. Chaiyatham, N. Phansiri, Adisit Opachat, Pawarut Kongsombatsuk, W. Khanngern","doi":"10.1109/ECTI-CON58255.2023.10153201","DOIUrl":"https://doi.org/10.1109/ECTI-CON58255.2023.10153201","url":null,"abstract":"Lightning locator is used to increase the efficiency of the lightning alarm system and analyze the intensity of lightning for evaluating the risk of a lightning protection system. The time difference of arrival (TDoA) technique is widely used for locating of lightning due to its high accuracy. Also, number of stations for installing the sensor is less than the other methods. However, at least 4 stations are required for calculation. Therefore, the selection of stations of sensor is very important because it affects accuracy, directly. This paper proposes the study on selection of sensors for calculation in order to locate the lightning strike. Because the TDoA is based on time difference, the window time and arrangement of sensors are considered for sensor selection. The window times is the difference of time stamp of each sensor when the lightning is detected. So that, the lowest window time of 4 sensors is applied. In addition, arrangement of sensors based on closed loop pattern can give the lowest window time. In this work, the installation of 6 networked lightning detection stations is applied for testing by 4 cases. Moreover, to ensure the proposed idea, not only difference of window time, but also the arrangement of sensors as closed loop and unclosed loop is simulated. As shown in the results, they are found that the accuracy tends to decrease when the window time increases. Also, the error highly changes when the lightning strike occurs out of loop while window time increases.","PeriodicalId":340768,"journal":{"name":"2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"7 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":"128772854","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

Load Flow Analysis of Unbalanced Radial Distribution System Influence of COVID-19 Lockdowns and Electric Vehicles Charging Demand 不平衡径向配电系统对新冠肺炎疫情防控和电动汽车充电需求影响的潮流分析

2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2023-05-09 DOI: 10.1109/ECTI-CON58255.2023.10153224

B. Boribun, Phaiboon Boupha, Nopparat Thammawongsa, Nuttapong Bootthanu

引用次数: 0

Improving a text classifier using text augmentation: road traffic content from Twitter 使用文本增强改进文本分类器:来自Twitter的道路交通内容

2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2023-05-09 DOI: 10.1109/ECTI-CON58255.2023.10153191

Thawatchai Raksachat, Rathachai Chawuthai

引用次数: 0