{"title":"Medical Image Segmentation Used Unsupervised Convolutional Neural Network","authors":"Lalaoui Lahouaoui, Djaalab Abdelhak","doi":"10.1109/ICATEEE57445.2022.10093743","DOIUrl":"https://doi.org/10.1109/ICATEEE57445.2022.10093743","url":null,"abstract":"Segmenting skin lesions is a crucial step in computer-aided melanoma diagnosis, but it is also a highly difficult task because of the imprecise lesion boundaries and varied lesion textures. We describe a deep fully convolutional network-based, totally automatic technique for skin lesion segmentation (FCNs). In order to extend ConvNets for tasks requiring medical picture segmentation, this work provides unsupervised domain adaption techniques employing adversarial learning. By combining the prior knowledge stored by the shallow network with the deep FCNs, we are able to show that our newly built network may increase accuracy for lesion segmentation. Our approach is robust and does not require extensive parameter tuning or data augmentation. The experimental findings demonstrate the method's considerable potential for efficient model generalization.","PeriodicalId":150519,"journal":{"name":"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122365880","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}
{"title":"Suitability of Electric Motors and Conventional Control Techniques for Electric Vehicle Applications","authors":"Guichi Amar, Ghadbane Ismail, Bouzid Riad","doi":"10.1109/ICATEEE57445.2022.10093716","DOIUrl":"https://doi.org/10.1109/ICATEEE57445.2022.10093716","url":null,"abstract":"This article discusses the suitability of conventional speed control techniques for controlling the motor speed of an electric vehicle and takes induction motor control using direct torque control (DTC) technique as a case study. The main advantage of this technique is the simplicity of the hardware implementation in low cost platforms and precision in achieving any speed setpoint while the resistance torque variation. To expose the induction motor to the real challenges that arise in the electric vehicles, the speed control algorithm is tested under the New European Driving Cycle (NEDC) while imposing a resistive torque that emulates that of the real electric vehicle. The whole system is simulated under very challenging conditions in the PSIM platform , then the algorithm is implemented in the DSP TMS320F28335 platform to confirm its effectiveness in the real environment. The obtained results confirm that the direct torque control technique can be very useful in the speed control of electric vehicle induction motor.","PeriodicalId":150519,"journal":{"name":"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128534184","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}
{"title":"Real Time Object Detection With Drone Using Deep Learning Algorithm","authors":"Mahdjoubi Issame, Abdelhafid Benyounes","doi":"10.1109/ICATEEE57445.2022.10093104","DOIUrl":"https://doi.org/10.1109/ICATEEE57445.2022.10093104","url":null,"abstract":"In that work, a type of an unmanned aerial vehicle (UAV) called quadrotor with an object detection system is the subject that we will talk about. The main objectives of our work is the detection of chosen objects from the quadrotor. For that, there are two parts presented, the first one, a detailed description of the mathematical effects that applied to the structure of our system and how we implemented our system with showing all the parts, and we used the PID controller to stabilize the system. In the second part, we will talk about artificial intelligence generally and deep learning specifically and we will show how exactly the detection happen using the right technics and algorithms with Yolov5 and which version we will use. Finally we will make a real test with the real time showing our prototype working in the field.","PeriodicalId":150519,"journal":{"name":"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133543820","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}
Belkahla Yasmine, Taieb-Brahimi Abdelhalim, Moussaoui Said
{"title":"Eddy Current Nondestructive Testing using Surface Impedance Boundary Condition and Efficient Global Optimization Algorithm","authors":"Belkahla Yasmine, Taieb-Brahimi Abdelhalim, Moussaoui Said","doi":"10.1109/ICATEEE57445.2022.10093745","DOIUrl":"https://doi.org/10.1109/ICATEEE57445.2022.10093745","url":null,"abstract":"An eddy current nondestructive testing using the Surface Impedance Boundary Condition (SIBC) and Efficient Global Optimization (EGO) is presented in this article. We solve the direct problem of a conducting hollow cylinder comprising a groove, with a finite element method using femm package software. We use the SIBC condition to represent the tube with defects. We compute the sensor impedance variations and use them as input for the inverse problem. We use the EGO algorithm for defect characterization. The main goal of this work is to improve computation time when evaluating cost functions in inversion algorithms. Simulation results show the efficiency of the proposed fit in terms of computation time and accuracy of estimating geometric parameters.","PeriodicalId":150519,"journal":{"name":"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122192053","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}
{"title":"3D Simulation of the Electric Field of Cap and PinInsulatorusingComsolMultiphysics","authors":"Oussama Ghermoul, Hani Benguesmia, L. Benyettou","doi":"10.1109/ICATEEE57445.2022.10093758","DOIUrl":"https://doi.org/10.1109/ICATEEE57445.2022.10093758","url":null,"abstract":"Thedesignofhighvoltageinsulatorneedsanextensiveresearchonth edistributionsofelectricfieldandelectric potential. In this paper, a 3D model of the cap and pin1512L insulator was created with and without pollution withthe pollution having multiple values of relative permittivity tosee the impact it makes on these distributions. AutoCAD 2018software was used to model the insulator then later imported tothe software COMSOL Multiphysics 5.6 a software based onthefinite elementmethodtosimulate thiswork.","PeriodicalId":150519,"journal":{"name":"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121240014","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}
{"title":"Lattice Constant Prediction of Complex Cubic Peroveskite A2BCO6 using Extreme Learning Machine","authors":"Bouzateur Inas, Bennacer Hamza, Ouali Mohamed Assam, Ladjal Mohamed, Ziane Mohamed Issam, Hadjab Moufdi","doi":"10.1109/ICATEEE57445.2022.10093696","DOIUrl":"https://doi.org/10.1109/ICATEEE57445.2022.10093696","url":null,"abstract":"Double perovskite oxides have received a lot of interest in the last ten years because of their distinctive and adaptable material properties. Among the six parameters in the cubic structure, the lattice constant is the sole changeable parameter, which plays an important role in developing materials for particular technological applications and distinctively identifies the crystal structure of the material. In this paper, the extreme learning machine (ELM) is used to correlate the lattice constant of $A_2^{ + 2}BC{O_6}$ cubic perovskite compounds, such as their ionic radii, electronegativity, oxidation state, and lattice constant. We investigated 147 compounds with lattice constants between 7.700 and 8.890Å. The prediction method has a high level of accuracy and stability and provides accurate estimates of lattice constants.","PeriodicalId":150519,"journal":{"name":"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121789792","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}
{"title":"BER and Outage Performance for Multi-hop User-Relays NOMA with Imperfect SIC and CSI","authors":"Faical Khennoufa, A. Khelil, E. Kenane","doi":"10.1109/ICATEEE57445.2022.10093755","DOIUrl":"https://doi.org/10.1109/ICATEEE57445.2022.10093755","url":null,"abstract":"This paper examines a downlink multi-hop user relays assisted non-orthogonal multiple access (NOMA). The system is used to combat channel disorders, extend the coverage area, and improve the quality of service (QoS). Both imperfect successive interference cancellation (SIC) and channel state information (CSI) are taken into consideration. Under imperfect SIC and CSI, we obtain the bit error rate (BER) and outage probability (OP) expressions for the helper user. Then, when imperfect CSI is available at all hops, we compute the end-to-end BER and OP for far user message at each hop. Theoretical analyses are validated by computer simulations. The findings indicate that the BER and OP performance deteriorate as the hops increase. Additionally, at the high signal-to-noise ratio (SNR), the erroneous SIC and CSI create an error floor and impact the BER and OP performance at all hops.","PeriodicalId":150519,"journal":{"name":"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114857536","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}
{"title":"Model Predictive Sliding Mode Control for a Class of Affine Nonlinear Systems","authors":"Khadidja Saoudi, E. Bdirina, Kamel GUESMI","doi":"10.1109/ICATEEE57445.2022.10093734","DOIUrl":"https://doi.org/10.1109/ICATEEE57445.2022.10093734","url":null,"abstract":"In this paper, a nonlinear robust control technique is proposed for a class of affine nonlinear systems. This technique tries to increase tracking control performance by combining the benefits of sliding mode control (SMC) with model predictive control (MPC), for a class of nonlinear systems, in terms of smooth control law, a zero steady-state error, a faster convergence rate, and more robustness for the closed-loop system against external disturbances and model uncertainties. Furthermore, this paper provides a comparative study with the previously mentioned control methods. The controllers SMC and Model Predictive Sliding Mode Control (MPSMC) have been tested in simulation under Matlab/Simulink environment. Simulations are carried out on a nonlinear affine benchmark to evaluate the suggested technique and demonstrate its efficacy in achieving the required control performances.","PeriodicalId":150519,"journal":{"name":"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)","volume":"180 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129398339","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}
{"title":"Design of a miniature bi-band patch antenna with asymmetrical feedline for 5G applications","authors":"H. Bakhti, M. Bentoumi, Messaoud Mayouf, A. Debbi","doi":"10.1109/ICATEEE57445.2022.10093102","DOIUrl":"https://doi.org/10.1109/ICATEEE57445.2022.10093102","url":null,"abstract":"Nowadays, the generalization of wireless communication systems and the need to miniaturize antennas to allow their integration into small objects at ultra-high frequencies is growing. At these frequencies, the antenna is the bulkiest component and its miniaturization constitutes one of the most important current challenges for designers of communicating objects. The main objective of our work is the design of a dual-band patch antenna working for fifth-generation systems. For this purpose, we designed a miniature antenna having two resonance frequencies, one around 7GHz and the other around 28GHz. For this, our work is based on a classic rectangular patch antenna. Miniaturization techniques and ground plane deformation (GDS) are used to obtain the best performance. A parametric study was performed to see the most influential parameters to achieve the desired requirements. The influence of the geometrical parameters of the antenna on the resonance frequency, bandwidth, and directivity has been taken into consideration. The results obtained showed a good performance of the designed antenna.","PeriodicalId":150519,"journal":{"name":"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131008248","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}
Yasser Damine, S. Sbaa, N. Bessous, A. C. Megherbi
{"title":"Comparative Study Between EEMD-MED and VMD-MED Techniques Dedicated to Bearing Fault Detection in Induction Motors","authors":"Yasser Damine, S. Sbaa, N. Bessous, A. C. Megherbi","doi":"10.1109/ICATEEE57445.2022.10093687","DOIUrl":"https://doi.org/10.1109/ICATEEE57445.2022.10093687","url":null,"abstract":"To improve defect detection in rotating electrical machines (REMs), many techniques are used in this field. Bearing defects can be damaged the REMs. This paper compares Ensemble Empirical Mode Decomposition combined with Minimum Entropy Deconvolution (EEMD-MED) to variational mode decomposition with MED (VMD-MED) to detect bearing defects. First, VMD divides the signal into IMFs. In addition, the components with significant kurtosis values were selected for reconstruction. To enhance fault detection, the MED was performed on the reconstructed signal. Meanwhile, EEMD decomposes the bearing signal into IMF components. IMFs of higher kurtosis values were selected for reconstruction, and MED was applied. A final step is to compare the analysis of the results obtained to determine the best technique for detecting defects in bearings. This work is based on experimental results, which allow us to compare the two methods.","PeriodicalId":150519,"journal":{"name":"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114758110","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}