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

Performance Comparison of Lightweight CNN Models for Drone Collision Avoidance Dataset 无人机避碰数据集轻量级CNN模型性能比较

2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2023-05-09 DOI: 10.1109/ECTI-CON58255.2023.10153233

Rifqi Nabila Zufar, D. Banjerdpongchai

{"title":"Performance Comparison of Lightweight CNN Models for Drone Collision Avoidance Dataset","authors":"Rifqi Nabila Zufar, D. Banjerdpongchai","doi":"10.1109/ECTI-CON58255.2023.10153233","DOIUrl":"https://doi.org/10.1109/ECTI-CON58255.2023.10153233","url":null,"abstract":"Collision Avoidance System (CAS) is important for drone safety. CAS consists of three steps e.g., obstacle sensing, collision prediction, and collision avoidance. Collision prediction enables drones to gain information, process information, and estimate whether the object has a risk of collision. Convolution Neural Network (CNN) is one of the methods that can be employed for collision prediction. However, CNN is a method that needs a large data in the training. Dario Pedro et al. provided a dataset called the CoLANet dataset that consists of VDOs of collision drones. Subsequently, they proposed a new algorithm called Neural Network Pipeline which has a Convolution Neural Network (CNN) part to extract the feature from a couple of images. CNN extracts images by using MobileNetV2 as a pre-trained model. They chose MobileNetV2 due to training performance from another dataset. This paper aims to assess the performance of lightweight CNN models using the CoLANet dataset. The models will be trained on the Keras library with parameters of fewer than ten million. The models will be validated by Confusion Matrix and Receiver Operating Characteristics. In conclusion, we examine which pre-trained CNN model has the best performance and suggest ongoing work.","PeriodicalId":340768,"journal":{"name":"2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"106 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":"117223216","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

Forex Price Trend Prediction using Convolutional Neural Network 基于卷积神经网络的外汇价格趋势预测

2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2023-05-09 DOI: 10.1109/ECTI-CON58255.2023.10153142

Warakorn Luangluewut, P. Thiennviboon

{"title":"Forex Price Trend Prediction using Convolutional Neural Network","authors":"Warakorn Luangluewut, P. Thiennviboon","doi":"10.1109/ECTI-CON58255.2023.10153142","DOIUrl":"https://doi.org/10.1109/ECTI-CON58255.2023.10153142","url":null,"abstract":"Foreign exchange (Forex) currency trading is an attractive investment. Real profits from the Forex trading, like stock trading, come from differences between buying prices and selling prices, which can be recognized by exchange rate trends. Our goal is to predict a trend direction from the most recent set of exchange rates using a simple deep learning model. The Forex price time series is converted to an image which is used as an input of a convolution neural network. Uptrend/downtrend labels of Forex prices were recognized using Martingale strategy. The model was trained using EUR/USD 2013 and 2015 open price data. For testing performances, initial 26-minute samples of uptrend/ downtrend events from EUR/USD 2016-2018 and 2020 open price data were used and 93% accuracy is achieved. To show trading benefits, a simple trading algorithm was simulated using our model and common trend indicators for EUR/USD 2013/2015-2018/2020 and GBP/USD 2020. In most cases, the trading algorithm using our model gained profits about 6% – 422% higher than those using other techniques. Therefore, our proposed model, if used correctly, may provide substantial profits in Forex trading.","PeriodicalId":340768,"journal":{"name":"2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"44 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":"126957155","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

Colorectal Tissue Image Classification Across Datasets 跨数据集的结直肠组织图像分类

2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2023-05-09 DOI: 10.1109/ECTI-CON58255.2023.10153365

S. Plumworasawat, Napa Sae-Bae

{"title":"Colorectal Tissue Image Classification Across Datasets","authors":"S. Plumworasawat, Napa Sae-Bae","doi":"10.1109/ECTI-CON58255.2023.10153365","DOIUrl":"https://doi.org/10.1109/ECTI-CON58255.2023.10153365","url":null,"abstract":"This work studies the performance of the pretrained models to classify colorectal tissues and the effectiveness of tissue image classification models when it is applied across different datasets that may exhibit different color characteristics. In particular, the study is conducted on three pre-trained CNN models, ResNet50, VGG19, and EfficientNetB3, where they are used as to extract a feature vector of the image patch. Then the multi-layer perceptron-based neural network is used to perform the task of multiclass classification. The result shows that the best accuracy to classify the colorectal histopathological images was achieved by the ResNet model with 93.87% test accuracy on the Kather-texture2016 image dataset. And for the accuracy of the classification model when it is trained in the public dataset and applied to the local datasets, the normalized color image test dataset showed the best accuracy rate at 80.69% when compared to raw images and grayscale images among the local datasets. This result suggests that the pre-trained classification models could be useful for tissue image classification tasks across various laboratory sources and image color adjustment could help enhance the recognition performance even further of the image classification model. Therefore, consideration for image color correction would be needed to preserve the recognition performance of the model if the pre-trained tissue image classification model is to be used off-the-shelf across laboratories.","PeriodicalId":340768,"journal":{"name":"2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"15 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":"122689658","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

Small Signal Model and Stability Analysis of LCL Grid Connected Inverter under Weak Grids 弱电网条件下LCL并网逆变器的小信号模型及稳定性分析

2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2023-05-09 DOI: 10.1109/ECTI-CON58255.2023.10153173

Pratchaya Pathomchaiwat, B. Neammanee, Jirawut Benjanarasut

{"title":"Small Signal Model and Stability Analysis of LCL Grid Connected Inverter under Weak Grids","authors":"Pratchaya Pathomchaiwat, B. Neammanee, Jirawut Benjanarasut","doi":"10.1109/ECTI-CON58255.2023.10153173","DOIUrl":"https://doi.org/10.1109/ECTI-CON58255.2023.10153173","url":null,"abstract":"The problem with connecting LCL grid connected inverters (LCL-GCI) to weak grids is that inverter operation is often unstable. And another problem is that it is difficult to analyze the stability of the LCL-GCI due to the nonlinearity of the system. Therefore, this paper presents a small signal model of LCL-GCI for analysis of inverter stability. The model is derived from the state space method to linearize the model around its operating point, used to carry out the poles of the LCL-GCI system to determine the system stability with a change of its parameters including weak grids conditions. A change of LCL-GCI and the grids parameters effects the stability of the system especially a weak grid conditions the grids impedance is increasing. The simulation shows the movement of system pole in s-plane demonstrates the system stability when LCL-GCI parameters and grid impedance are changed. Although the LCL-GCI is unstable under weak grids, the improvement parameter methods by increase LCL filter parameter and reduce the controller gain can bring the system stable again.","PeriodicalId":340768,"journal":{"name":"2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"190 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":"122858421","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

Developing and Implementing a Real-Time Mass Health Screening System: MFU.Pass 开发和实施实时群众健康筛查系统:MFU。通过

2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2023-05-09 DOI: 10.1109/ECTI-CON58255.2023.10153305

Vittayasak Rujivorakul

引用次数: 0

An Experimental Study of Performance Enhancement of Medium-Frequency Small Loop Antennas for Through-the-Earth at 350 kHz 350 kHz中频小环天线穿地性能增强实验研究

2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2023-05-09 DOI: 10.1109/ECTI-CON58255.2023.10153298

Suphawit Julthochai, P. Khamsalee, R. Wongsan

{"title":"An Experimental Study of Performance Enhancement of Medium-Frequency Small Loop Antennas for Through-the-Earth at 350 kHz","authors":"Suphawit Julthochai, P. Khamsalee, R. Wongsan","doi":"10.1109/ECTI-CON58255.2023.10153298","DOIUrl":"https://doi.org/10.1109/ECTI-CON58255.2023.10153298","url":null,"abstract":"This paper presents an experimental investigation into enhancing the performance of medium frequency small loop antennas for Through-the-Earth (TTE) communication at an operating frequency of 350 kHz. The proposed small loop antenna is designed to have a 1/50 wavelength for use in cave environments. The experimental setup comprises a transmitter system with a signal generator and an earth-grounded antenna, and a receiver system with a small loop antenna and a spectrum analyzer, which is tested by transmitting signals from the transmitter to the receiver at a surface testing location. To enhance the performance of the receiver antenna, we investigate the effect of increasing the number of antennas, from one to two and four elements, to determine the optimal array arrangement. The experimental results are evaluated based on received power and antenna impedance. Our findings indicate that using a 4x1 vertical array antenna with small loop antennas induces the highest currents from the earth and improves signal power reception by up to 11.6 dB compared to a single small loop antenna.","PeriodicalId":340768,"journal":{"name":"2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"4 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":"122062240","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

Design of Ultra-Wideband Antipodal Vivaldi Antenna with different shapes of Parasitic Patch 不同形状寄生贴片的超宽带对映维瓦尔第天线设计

2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2023-05-09 DOI: 10.1109/ECTI-CON58255.2023.10153316

Chanikarn Wanna, N. Chudpooti, W. Thaiwirot

引用次数: 0

Parameters Influence on MPPT Efficiency for Single-Phase Grid-Connected Photovoltaic System 参数对单相并网光伏系统MPPT效率的影响

2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2023-05-09 DOI: 10.1109/ECTI-CON58255.2023.10153203

U. Prasatsap, N. Nernchad, S. Srita, T. Kaewchum, C. Termritthikun, S. Somkun

引用次数: 0

From Characters to Chaos: On the Feasibility of Attacking Thai OCR with Adversarial Examples 从字符到混沌:用对抗性实例攻击泰语OCR的可行性

2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2023-05-09 DOI: 10.1109/ECTI-CON58255.2023.10153157

Chissanupong Jiamsuchon, Jakapan Suaboot, Norrathep Rattanavipanon

{"title":"From Characters to Chaos: On the Feasibility of Attacking Thai OCR with Adversarial Examples","authors":"Chissanupong Jiamsuchon, Jakapan Suaboot, Norrathep Rattanavipanon","doi":"10.1109/ECTI-CON58255.2023.10153157","DOIUrl":"https://doi.org/10.1109/ECTI-CON58255.2023.10153157","url":null,"abstract":"Recent advances in deep neural networks (DNNs) have significantly enhanced the capabilities of optical character recognition (OCR) technology, enabling its adoption to a wide range of real-world applications. Despite this success, DNN-based OCR is shown to be vulnerable to adversarial attacks, in which the adversary can influence the DNN model’s prediction by carefully manipulating input to the model. Prior work has demonstrated the security impacts of adversarial attacks on various OCR languages. However, to date, no studies have been conducted and evaluated on an OCR system tailored to the Thai language. To bridge this gap, this work presents a feasibility study of performing adversarial attacks on a specific Thai OCR application – Thai License Plate Recognition (LPR). Moreover, we propose a new type of adversarial attacks based on the semi-targeted scenario and show that this scenario is highly realistic in LPR applications. Our experimental results show the feasibility of our attacks as they can be performed on a commodity computer desktop with over 90% attack success rate.","PeriodicalId":340768,"journal":{"name":"2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)","volume":"3 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":"115851220","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

Design and Invention of a Low-Cost Motor Driver for the wheeled Robot 轮式机器人低成本电机驱动器的设计与发明

2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) Pub Date : 2023-05-09 DOI: 10.1109/ECTI-CON58255.2023.10153382

Nitas Suriyakan, Ekkawit Wangkanklang

引用次数: 0