2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)最新文献

Phishing for Legitimacy: The Use of SSL Certificates to Ensnare Internet Users 网络钓鱼的合法性:使用SSL证书诱骗互联网用户

2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA) Pub Date : 2022-11-23 DOI: 10.1109/ICECTA57148.2022.9990241

Mohammed Awad, Aisha El Allam, Khouloud Salameh, Reem Al Mazrouei

引用次数: 0

Design and Analysis of Ultra-Wideband Koch Fractal Microstrip Patch Antenna 超宽带科赫分形微带贴片天线的设计与分析

2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA) Pub Date : 2022-11-23 DOI: 10.1109/ICECTA57148.2022.9990522

Amjad Omar, Amal Alnuaimi, F. Alhammadi, Mouza Bin Thaleth, Ali. S. AlNuaimi, Mousa I. Hussein

引用次数: 0

Application of CNNs in Home Security cnn在家庭安防中的应用

2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA) Pub Date : 2022-11-23 DOI: 10.1109/ICECTA57148.2022.9990490

Ramaprasad Poojary, Roma Raina, S. Krishanmurthy

引用次数: 0

Voiced Features and Artificial Neural Network to Diagnose Parkinson’s Disease Patients 语音特征与人工神经网络诊断帕金森病患者

2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA) Pub Date : 2022-11-23 DOI: 10.1109/ICECTA57148.2022.9990334

R. Islam, E. Abdel-Raheem, M. Tarique

引用次数: 1

Controller Design and Analysis for Octorotor UAVs 旋翼无人机控制器设计与分析

2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA) Pub Date : 2022-11-23 DOI: 10.1109/ICECTA57148.2022.9990041

Mohamad Alansari, Ahmed M. Elshamy, Ahmed Abughali, Khalid Alhammadi

引用次数: 0

Online Microwave Assisted Coalescence of Binary Water Drops in Crude Oil 原油中二元水滴的在线微波辅助聚结

2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA) Pub Date : 2022-11-23 DOI: 10.1109/ICECTA57148.2022.9990404

I. Adeyemi, N. Kharoua, M. Méribout, Khalid Alhammadi, L. Khezzar

引用次数: 0

Subject Authentication using Textural Features of Recurrence Plot 基于递归图纹理特征的主体认证

2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA) Pub Date : 2022-11-23 DOI: 10.1109/ICECTA57148.2022.9990081

T. Alotaiby, S. Alshebeili, Gaseb Alotibi, Gaith Alotaibi

{"title":"Subject Authentication using Textural Features of Recurrence Plot","authors":"T. Alotaiby, S. Alshebeili, Gaseb Alotibi, Gaith Alotaibi","doi":"10.1109/ICECTA57148.2022.9990081","DOIUrl":"https://doi.org/10.1109/ICECTA57148.2022.9990081","url":null,"abstract":"Increasing dependence on online transactions combined with continuing developments in information systems have led to a demand for accurate, reliable subject identity authentication systems. Various biometric-based technologies for identify authentication have already been proposed, including face, retina, and fingerprint recognition. However, this study, proposes an authentication system based on textural features extracted from the recurrence plot (RP) of three physiological signals:Photoplethysmography(PPG), Electrocardiogram (ECG) and Capnograms (CO$_{mathbf{2}}$). The signals are divided into segments from which a recurrence plot is generated. From there, textural features are extracted to form feature vectors subsequently fed into classifiers for user identity authentication. These classifiers are random forest (RF), naïve Bayes (NB), linear discriminant analysis (LDA), and support vector machine (SVM). This work also investigates the fusing feature vectors of different physiological signals into a single feature vector. The most promising results using feature vectors of individual signal: PPG, ECG, and CO$_{mathbf{2}}$, were obtained using RF classifier with segment lengths of 5.5 and 18 seconds; this approach achieved an average accuracy of 98.74%, 98.36%, and 98.41%, respectively. The fused features of the three signals also provided very promising results using an RF classifier, with an average accuracy of 99% and 99.31% using segment lengths of 2 and 15 seconds.","PeriodicalId":337798,"journal":{"name":"2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121054260","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

Hybrid CNN-LSTM Speaker Identification Framework for Evaluating the Impact of Face Masks 基于混合CNN-LSTM的人脸识别框架

2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA) Pub Date : 2022-11-23 DOI: 10.1109/ICECTA57148.2022.9990138

Mohamed Bader, I. Shahin, A. Ahmed, N. Werghi

{"title":"Hybrid CNN-LSTM Speaker Identification Framework for Evaluating the Impact of Face Masks","authors":"Mohamed Bader, I. Shahin, A. Ahmed, N. Werghi","doi":"10.1109/ICECTA57148.2022.9990138","DOIUrl":"https://doi.org/10.1109/ICECTA57148.2022.9990138","url":null,"abstract":"Following the declaration of COVID-19 as a worldwide pandemic, hindering a multitude number of lives, face mask exploitation has become extremely crucial to barricade the emanation of the virus. The masks available in the market are of various sorts and materials and tend to affect the speaker’s vocal characteristics. As a result, optimum communication may be hampered. In the proposed framework, a speaker identification model has been employed. Also, the speech corpus has been captured. Then, the spectrograms were obtained and passed through a two-stage pre-processing. The first stage includes the audio samples. In contrast, the second stage has targeted the spectrograms. Afterward, the generated spectrograms were passed into a hybrid Convolutional Neural Network- Long Short-Term Memory (CNN-LSTM) model to perform the classification. Our proposed framework has shown its capability to identify speakers while they are wearing face masks. Moreover, the system has been evaluated on the collected dataset, where it has attained 92.7%, 92.62%, 87.71%, and 88.26% in terms of accuracy, precision, recall, and F1-score, respectively. The acquired findings are still preliminary and will be refined further in the future by data expansion and the employment of numerous optimization approaches.","PeriodicalId":337798,"journal":{"name":"2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115290297","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: 2

Sudoku Binary Codes and Signaling Schemes for the Applications of Radar and Wireless Communications 雷达和无线通信中应用的数独二进制码和信令方案

2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA) Pub Date : 2022-11-23 DOI: 10.1109/ICECTA57148.2022.9990043

M. G. Hussain, R. Narayanan

引用次数: 0

Effectuating Communication for the Deaf and Hard-of-Hearing: An Ethnographic Review 聋人与听力障碍者有效沟通:民族志评论

2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA) Pub Date : 2022-11-23 DOI: 10.1109/ICECTA57148.2022.9990196

S. S. Kamath, Andrina Martin, Ramaprasad Poojary

{"title":"Effectuating Communication for the Deaf and Hard-of-Hearing: An Ethnographic Review","authors":"S. S. Kamath, Andrina Martin, Ramaprasad Poojary","doi":"10.1109/ICECTA57148.2022.9990196","DOIUrl":"https://doi.org/10.1109/ICECTA57148.2022.9990196","url":null,"abstract":"The Deaf and Hard-of-Hearing constitute a significant populace, raising the need for technology, which is becoming ubiquitous in the world, to become more accessible for them. This paper enlists recent efforts and research popular in the accessibility sphere for the DHH and asks research questions based on the review. The DHH Demographic are scattered around the world, and while there exists an International Sign Language, people tend to utilize their regional versions of the Sign Language, impeding solidarity. Systems, representations, and interpretations of the different Sign Languages are divergent. Hence, this paper examines research done solely in the sphere of different renditions of the Sign Language. This paper also discerns certain challenges and suggests how technology can work towards accurate interpretation and communication for the DHH. The use of Computer Vision and Deep Learning Algorithms is especially prevalent in current research, and this paper focuses on identifying some novel frameworks and procedures which have varied and deep applications in the accessibility sphere, not just for the DHH. The purpose of this review paper is to understand current research methods and encourage collaboration of version-specific researchers to further and ameliorate research.","PeriodicalId":337798,"journal":{"name":"2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)","volume":"405 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121789048","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