2022 9th International Conference on Electrical and Electronics Engineering (ICEEE)最新文献_第9页

Robust Tuning of PID Controller Using Differential Evolution Algorithm Based on FPGA 基于FPGA的差分进化PID控制器鲁棒整定

2022 9th International Conference on Electrical and Electronics Engineering (ICEEE) Pub Date : 2022-03-29 DOI: 10.1109/ICEEE55327.2022.9772529

Ozan Yalcin, Abdulkadir Canli, Ali Riza Yilmaz, B. Erkmen

引用次数: 2

An Improved Approach for Small Object Detection in Hyperspectral Images 一种改进的高光谱图像小目标检测方法

2022 9th International Conference on Electrical and Electronics Engineering (ICEEE) Pub Date : 2022-03-29 DOI: 10.1109/ICEEE55327.2022.9772535

O. Ozdil, Yunus Emre Esin, Safak Ozturk

{"title":"An Improved Approach for Small Object Detection in Hyperspectral Images","authors":"O. Ozdil, Yunus Emre Esin, Safak Ozturk","doi":"10.1109/ICEEE55327.2022.9772535","DOIUrl":"https://doi.org/10.1109/ICEEE55327.2022.9772535","url":null,"abstract":"Due to the fact hyperspectral cameras have low spatial resolution values, small target detection becomes a challenging task. In this study, a new method was proposed to detect small targets with high performance values. For target detection algorithms, it is very important to extract the accurate statistical informations of the image. In particular, accurate background information is very important for the Generalized Likelihood Ratio Test (GLRT). In order to extract these statistics correctly, the number of pixels of the image should not be too many or too few. For this reason, the hyperspectral image passed through the preprocessing steps and the image is divided into small tiles depending on the target dimensions to be detected. The target detection algorithm is performed separately on each of the tile components. In this way, the number of pixels from which the background information of the image is extracted is limited. Then, the target detection results obtained from the small pieces are combined and a general result map is obtained. The tests were performed on 3 different targets in 2 different images. When the results were evaluated, it was observed that the detection performance values obtained using the proposed method were higher than the detection performance values obtained using the GLRT algorithm on the whole image.","PeriodicalId":375340,"journal":{"name":"2022 9th International Conference on Electrical and Electronics Engineering (ICEEE)","volume":"241 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122465732","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

An Effective Hybrid Stochastic Gradient Descent Arabic Sentiment Analysis with Partial-Order Microwords and Piecewise Differentiation 一种有效的半阶微词和分段微分混合随机梯度下降阿拉伯语情感分析

2022 9th International Conference on Electrical and Electronics Engineering (ICEEE) Pub Date : 2022-03-29 DOI: 10.1109/iceee55327.2022.9772566

Fawaz S. Al-Anzi

引用次数: 1

Time Attendance Using FELE Face Identification Algorithms 考勤使用FELE人脸识别算法

2022 9th International Conference on Electrical and Electronics Engineering (ICEEE) Pub Date : 2022-03-29 DOI: 10.1109/ICEEE55327.2022.9772596

M. Munlin

{"title":"Time Attendance Using FELE Face Identification Algorithms","authors":"M. Munlin","doi":"10.1109/ICEEE55327.2022.9772596","DOIUrl":"https://doi.org/10.1109/ICEEE55327.2022.9772596","url":null,"abstract":"Time attendance system has been used to check-in and check-out of employees in organizations for many years. Biometric technique such as the fingerprint scanner is among the popular and widely used in the past and present. Nowadays, face recognition techniques have been employed to identify the faces such as eigen face, fisher face and local binary patterns histograms (LBPH). These techniques provide acceptable results but may not accurate enough due to a number of false positive cases. Therefore, this paper proposes a better face identification technique to reduce the false positive cases. The method presents the combination of the above three existing algorithms to produce the more accurate result for time attendance by means of the actual experiment. The experiment is carried out using the 30 employees face each with 50 images with a total of 1,500 images as a face database. The testing process contains real faces of 20 employees and 5 non-employees. These faces are tested against the Eigenface, Fisherface, LBPH and the proposed method Fisherface, Eigenface, LBPH Extension (FELE) algorithms. We present and compare the results among these four techniques in term of the false positive, accuracy and precision. It has been shown that the FELE has an accuracy of 100% and outperforms other methods in all categories.","PeriodicalId":375340,"journal":{"name":"2022 9th International Conference on Electrical and Electronics Engineering (ICEEE)","volume":"21 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125541719","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 Framework of Prompting Intelligent System for Academic Advising Using Recommendation System Based on Association Rules 基于关联规则推荐系统的学术咨询智能提示系统框架

2022 9th International Conference on Electrical and Electronics Engineering (ICEEE) Pub Date : 2022-03-29 DOI: 10.1109/ICEEE55327.2022.9772526

Sami Alghamdi, O. Sheta, Mohmmed S. Adrees

{"title":"A Framework of Prompting Intelligent System for Academic Advising Using Recommendation System Based on Association Rules","authors":"Sami Alghamdi, O. Sheta, Mohmmed S. Adrees","doi":"10.1109/ICEEE55327.2022.9772526","DOIUrl":"https://doi.org/10.1109/ICEEE55327.2022.9772526","url":null,"abstract":"A recommendation or a suggestion system is a branch of information filtering systems that aims to anticipate a user's liking of a specific product. The recommendation system mainly suggests a list of recommendations in an industry, using one of two methods: collaborative filtering or content-based filtering. In this paper, we propose an intelligent recommender system that aims to facilitate the process of academic advising. Our framework is built on a combination of association rules mining and a content-based filtering approach. Apriori algorithm (a well-known algorithm for mining frequent product sets and relevant association rule) is used to extract association rules, depending on the assumption that the space is (student x course), where number of students is greater than 100 and the number courses is less than 55 courses. The extracted rules are used as inference rules to present semantic knowledge to the results, where accuracy is improved. A list of recommended courses is offered after using Jaccard similarity coefficient to measure the similarity between courses.","PeriodicalId":375340,"journal":{"name":"2022 9th International Conference on Electrical and Electronics Engineering (ICEEE)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121797962","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

Integrated Modeling of the Modes of High Voltage Long Distance Electricity Transmission Lines 高压长距离输电线路模式的集成建模

2022 9th International Conference on Electrical and Electronics Engineering (ICEEE) Pub Date : 2022-03-29 DOI: 10.1109/iceee55327.2022.9772600

Yu. N. Bulatov, A. Kryukov, K. Suslov

引用次数: 2

Cyberattack Detection in Large-Scale Smart Grids using Chebyshev Graph Convolutional Networks 基于切比雪夫图卷积网络的大规模智能电网网络攻击检测

2022 9th International Conference on Electrical and Electronics Engineering (ICEEE) Pub Date : 2021-12-25 DOI: 10.1109/ICEEE55327.2022.9772523

Osman Boyaci, M. Narimani, K. Davis, E. Serpedin

{"title":"Cyberattack Detection in Large-Scale Smart Grids using Chebyshev Graph Convolutional Networks","authors":"Osman Boyaci, M. Narimani, K. Davis, E. Serpedin","doi":"10.1109/ICEEE55327.2022.9772523","DOIUrl":"https://doi.org/10.1109/ICEEE55327.2022.9772523","url":null,"abstract":"As a highly complex and integrated cyber-physical system, modern power grids are exposed to cyberattacks. False data injection attacks (FDIAs), specifically, represent a major class of cyber threats to smart grids by targeting the measurement data's integrity. Although various solutions have been proposed to detect those cyberattacks, the vast majority of the works have ignored the inherent graph structure of the power grid measurements and validated their detectors only for small test systems with less than a few hundred buses. To better exploit the spatial correlations of smart grid measurements, this paper proposes a deep learning model for cyberattack detection in large-scale AC power grids using Chebyshev Graph Convolutional Networks (CGCN). By reducing the complexity of spectral graph filters and making them localized, CGCN provides a fast and efficient convolution operation to model the graph structural smart grid data. We numerically verify that the proposed CGCN based detector surpasses the state-of-the-art model by 7.86% in detection rate and 9.67% in false alarm rate for a large-scale power grid with 2848 buses. It is notable that the proposed approach detects cyberattacks under 4 milliseconds for a 2848-bus system, which makes it a good candidate for real-time detection of cyberattacks in large systems.","PeriodicalId":375340,"journal":{"name":"2022 9th International Conference on Electrical and Electronics Engineering (ICEEE)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125243526","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: 7