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2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)最新文献

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An Approach of Fake Videos Detection Based on Haar Cascades and Convolutional Neural Network 基于Haar级联和卷积神经网络的假视频检测方法
2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2023-04-29 DOI: 10.1109/IC_ASET58101.2023.10150604
Ameni Jellali, Ines Ben Fredj, K. Ouni
{"title":"An Approach of Fake Videos Detection Based on Haar Cascades and Convolutional Neural Network","authors":"Ameni Jellali, Ines Ben Fredj, K. Ouni","doi":"10.1109/IC_ASET58101.2023.10150604","DOIUrl":"https://doi.org/10.1109/IC_ASET58101.2023.10150604","url":null,"abstract":"Because deep fakes might skew our impression of the truth, we need to come up with a method for better spotting them. This paper proposes a new forensic technique to detect manipulated facial images from videos. It is based on CNNs architecture that can distinguish possible face manipulations in the “real-and-fake-face-detection” dataset offered by Kaggle. The results obtained highlight comparable performances with the state-of-the-art methods. It showed an accuracy of approximately 99 % for this binary classification into fake or real faces. Then to validate this model we added a human face detection technique using the Haar Cascade method to this model in order to detect the manipulated videos from Deep Fake Detection Challenge (DFDC) dataset and we achieve an accuracy of 91 correct predictions out of 100 total videos.","PeriodicalId":272261,"journal":{"name":"2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130541225","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
Effects of the Electrical Polarizations on the Thermal Response of FinFET Nanotransistors 电极化对FinFET纳米晶体管热响应的影响
2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2023-04-29 DOI: 10.1109/IC_ASET58101.2023.10151359
Haifa Bahri, F. Nasri, N. Jaba
{"title":"Effects of the Electrical Polarizations on the Thermal Response of FinFET Nanotransistors","authors":"Haifa Bahri, F. Nasri, N. Jaba","doi":"10.1109/IC_ASET58101.2023.10151359","DOIUrl":"https://doi.org/10.1109/IC_ASET58101.2023.10151359","url":null,"abstract":"FinFET is the result of MOSFET miniaturization. Because of this technology, thermal effects have appeared, on which we have focused. Significantly, phonon transport in semiconductor materials is a crucial problem. However, this miniaturization includes several issues, such as SCE short-channel effects. The challenge for nanoscale transistors is to reduce these parasitic effects to increase the switching speed of a logic gate. This paper presents a comprehensive study of the gate length effects on the electrothermal response of FinFETs. In addition, the work shows the simulation of a 20 nm and 10 nm FinFET device. Finally, the paper discusses an electrothermal model utilized for describing the operation of FinFET devices in different dimensions using numerical simulation. In this paper, we present the investigation of self-heating effect (SHE) characteristics in FinFETs through the COMSOL simulation. The calibration is performed by fitting the $I_{D}-V_{D}$ curve based on the experimental data.","PeriodicalId":272261,"journal":{"name":"2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125568338","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
Evaluation of Edge Detection Algorithms Performance 边缘检测算法性能评价
2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2023-04-29 DOI: 10.1109/IC_ASET58101.2023.10151250
Touka Hafsia, Asma Belhaj, H. Tlijani, K. Nouri
{"title":"Evaluation of Edge Detection Algorithms Performance","authors":"Touka Hafsia, Asma Belhaj, H. Tlijani, K. Nouri","doi":"10.1109/IC_ASET58101.2023.10151250","DOIUrl":"https://doi.org/10.1109/IC_ASET58101.2023.10151250","url":null,"abstract":"Analysis and Interpretation of contents and environments is one of the main objectives of the computer vision field. This task is very necessary for various application domains, especially object recognition and its features extraction, and its motion analysis in a 3D environment. For that, the purpose of image edge detection is very essential to separate the object in the image and read its contents. One of these visual data is a combination of edges. Edge extraction is an important step in all processes of identifying and locating objects. In this work, five edge extraction algorithms are studied to find the best and worst performance of these techniques on the digital images of type. tiff and. jpg.","PeriodicalId":272261,"journal":{"name":"2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126655362","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
Fraud Detection of Electricity Consumption Using Robust Exponential and Holt-Winters Smoothing Method 基于稳健指数和冬至平滑方法的电力消费欺诈检测
2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2023-04-29 DOI: 10.1109/IC_ASET58101.2023.10150645
Dalila Azzouguer, A. Sebaa, D. Hadjout, F. Martínez-Álvarez
{"title":"Fraud Detection of Electricity Consumption Using Robust Exponential and Holt-Winters Smoothing Method","authors":"Dalila Azzouguer, A. Sebaa, D. Hadjout, F. Martínez-Álvarez","doi":"10.1109/IC_ASET58101.2023.10150645","DOIUrl":"https://doi.org/10.1109/IC_ASET58101.2023.10150645","url":null,"abstract":"Non-technical losses (NTL), especially fraud detection is very important for electricity distribution enterprises. Fraud detection allows for maximizing the effective economic return for such enterprises. This paper provides an electricity fraud detection approach based on robust exponential and Holt-Winters Smoothing methods. The proposed approach is a procedure that aims to discover the fraudulent behavior of electricity consumers and goes through three crucial steps: (1) the prediction of monthly consumption, (2) the detection of abnormal consumption of electrical meters, and (3) the detection of fraud cases of economic customers. The proposed model was trained and evaluated. Its experimental validation is achieved by using a large dataset of real users from the Algerian economic sector with almost 2000 clients and 14 years of monthly electricity consumption. The proposed solution revealed good performance compared to the literature and the comparison with the models implemented in this article: SARIMA for prediction and two sigma for anomaly detection. The results show highly efficient and realistic countermeasures to fraud detection, which leads us to say that this method is robust and can enhance company profit.","PeriodicalId":272261,"journal":{"name":"2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126446807","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
Long Short-Term Memory Networks for Forecasting Demand in the Case of Automotive Manufacturing Industry 汽车制造业需求预测的长短期记忆网络
2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2023-04-29 DOI: 10.1109/IC_ASET58101.2023.10150543
Hédir Oukassi, M. Hasni, S. Layeb
{"title":"Long Short-Term Memory Networks for Forecasting Demand in the Case of Automotive Manufacturing Industry","authors":"Hédir Oukassi, M. Hasni, S. Layeb","doi":"10.1109/IC_ASET58101.2023.10150543","DOIUrl":"https://doi.org/10.1109/IC_ASET58101.2023.10150543","url":null,"abstract":"With the rising of deep learning, neural networks have shown promising results for time series forecasting. In this paper, we investigate a deep learning-based approach for the demand forecasting method: the Long Short-Term Memory (LSTM) with the so-called Seq-2-Seq encoder-decoder architecture. To assess the performance of the proposed approach, a real-world case study was conducted for a Japanese company in the automotive manufacturing industry. In addition, the performance of the LSTM-based method is compared to the usually-used AutoRegressive Integrated Moving Average (ARIMA) method via several statistical metrics such as MSE and RMSE. The numerical experiments showed that the proposed LSTM based-approach outperforms ARIMA.","PeriodicalId":272261,"journal":{"name":"2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126563983","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
Lifting of the 9/7 Wavelet Filter Bank for ECG Signal Analysis Implementation Based on FPGA Target 基于FPGA的9/7小波滤波器组心电信号分析实现
2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2023-04-29 DOI: 10.1109/IC_ASET58101.2023.10150801
Farouk Boumehrez, A. Sahour, Fouzia Maamri, Hanane Djellab
{"title":"Lifting of the 9/7 Wavelet Filter Bank for ECG Signal Analysis Implementation Based on FPGA Target","authors":"Farouk Boumehrez, A. Sahour, Fouzia Maamri, Hanane Djellab","doi":"10.1109/IC_ASET58101.2023.10150801","DOIUrl":"https://doi.org/10.1109/IC_ASET58101.2023.10150801","url":null,"abstract":"The electrocardiogram (ECG) signal is often used in healthcare as one of the most significant methods for determining the cardiac condition of a patient. It represents the variations of the electrical activity of the heart as a function of time. This paper presents the hardware Implementation OF THE Lifting 9/7 Wavelet Filter Bank ECG Signal Analysis on cyclone-II EP2C35F72C6 FPGA in Altera DE2 board using VHDL Hardware Description Language (HDL). Quartus-II version 8.1 is a synthesis software tool and ModelSim Altera WEB edition 6.4a is used as a simulator Multiply/divide operations using left/right shifters are used in contrast to standard operations with the aim of reducing time execution, the number of elementary logic, and power consumption.","PeriodicalId":272261,"journal":{"name":"2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116748337","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
Lung Cancer Detection with Machine Learning and Deep Learning: A Narrative Review 肺癌检测与机器学习和深度学习:述评
2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2023-04-29 DOI: 10.1109/IC_ASET58101.2023.10150913
Omar Khouadja, M. Naceur
{"title":"Lung Cancer Detection with Machine Learning and Deep Learning: A Narrative Review","authors":"Omar Khouadja, M. Naceur","doi":"10.1109/IC_ASET58101.2023.10150913","DOIUrl":"https://doi.org/10.1109/IC_ASET58101.2023.10150913","url":null,"abstract":"Lung cancer is the most common cancer-related cause of death worldwide. Unfortunately, current diagnostic techniques often lack sensitivity and precision, leading to delayed diagnoses and ineffective treatments. To diagnose lung cancer, doctors currently mainly rely on the clinical characteristics of their patients and imaging characteristics. However, these techniques have limitations in fully and promptly detecting lesions. Nevertheless, with the help of artificial intelligence (AI), lung cancer treatment, prognosis prediction, and diagnostics can be greatly improved. This paper provides an overview of the role that AI can play in simplifying tasks, while reducing the effort required of radiologists and increasing the accuracy of nodule detection.","PeriodicalId":272261,"journal":{"name":"2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124923176","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
Enhancement of Z-Source Inverter Controller for Improvement of Grid-tied PV systems z源逆变器控制器改进并网光伏系统
2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2023-04-29 DOI: 10.1109/IC_ASET58101.2023.10151231
Salah Anis Krim, H. Afghoul, F. Krim, Feriel Abdelmalek, Djallal Eddine Zabia, Taha Lamdjed Belahcene
{"title":"Enhancement of Z-Source Inverter Controller for Improvement of Grid-tied PV systems","authors":"Salah Anis Krim, H. Afghoul, F. Krim, Feriel Abdelmalek, Djallal Eddine Zabia, Taha Lamdjed Belahcene","doi":"10.1109/IC_ASET58101.2023.10151231","DOIUrl":"https://doi.org/10.1109/IC_ASET58101.2023.10151231","url":null,"abstract":"This paper presents a photovoltaic (PV) system using a three-phase impedance source inverter (ZSI) by optimizing PWM signals to reduce harmonics. One of the advantages of this inverter compared to traditional inverters is to have buck-boost capability. ZSI can increase the output voltage according to its structure. ZSI has the unique feature of shoot-through (ST) operation, which allows short-circuiting the switches of one leg of the inverter, thereby eliminating switching dead time to improve output performance. According to the characteristics of the ZSI, in this paper, by optimizing the PWM signals, the total harmonic distortion (THD) value is reduced and ultimately improves the power quality in the output waveform of the system. The simulation results are obtained using MATLAB/Simulink software.","PeriodicalId":272261,"journal":{"name":"2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124925626","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
Performance Investigation of Three-Stage Modular Smart Transformer with Sliding Mode Control 滑模控制三相模块化智能变压器性能研究
2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2023-04-29 DOI: 10.1109/IC_ASET58101.2023.10150708
Hiba Helali, A. Khedher
{"title":"Performance Investigation of Three-Stage Modular Smart Transformer with Sliding Mode Control","authors":"Hiba Helali, A. Khedher","doi":"10.1109/IC_ASET58101.2023.10150708","DOIUrl":"https://doi.org/10.1109/IC_ASET58101.2023.10150708","url":null,"abstract":"The Smart Transformer (ST) is an intelligent power transmission device between AC and DC grids, which facilitates the integration of renewable energy resources, electric vehicle charging stations, and energy storage batteries into the distribution grid. This paper proposes a three-stage smart transformer model comprising a Cascaded H-Bridge (CHB) rectifier for the input stage, three dual active bridge converters for the isolation stage, and a four-leg inverter for the output stage. In order to improve the dynamic performance of this model, the sliding mode control has been applied to its input and output stages, and the soft switching control has been used in the isolation stage. To investigate the performance of the ST control strategy, a series of simulations were performed under disturbances, namely, voltage drop, voltage swell, harmonics distortion, and flickers in the MATLAB environment. The obtained results confirm the robustness of the ST controller against these disturbances.","PeriodicalId":272261,"journal":{"name":"2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122498662","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
Survey on Video Streaming for UAV 无人机视频流研究进展
2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET) Pub Date : 2023-04-29 DOI: 10.1109/IC_ASET58101.2023.10150479
D. Ammous, F. Kammoun, N. Masmoudi
{"title":"Survey on Video Streaming for UAV","authors":"D. Ammous, F. Kammoun, N. Masmoudi","doi":"10.1109/IC_ASET58101.2023.10150479","DOIUrl":"https://doi.org/10.1109/IC_ASET58101.2023.10150479","url":null,"abstract":"Recently, real-time applications of video coding have grown explosively. In fact, scientific, defense and consumer applications use digital video cameras and networked computer devices to satisfy the demand. Continuous video data generation and the transmission of a rich information sequence require extensive networking capabilities. This rise has created a variety of new opportunities to significantly improve the video surveillance capabilities using the 5G of mobile technology (Fifth Generation). Thus, it is imperative to use, efficient video codecs across 5G networks to provide an excellent Users' QoE (Quality of Experience) and to secure the reception of video in real time. The purpose of the paper's first section is to offer a fundamental review of the video coding techniques currently used in cellular networks. Section 2 compares two communication technologies 5G (Fifth Generation) and 4G (Fourth Generation) and mentions differences between them.","PeriodicalId":272261,"journal":{"name":"2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122675560","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
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