{"title":"Measuring ground reaction forces of quadruped robot","authors":"N. Djelal, A. Ouanane, Isma Boudouane, A. Rezzoug","doi":"10.1109/ICATEEE57445.2022.10093750","DOIUrl":"https://doi.org/10.1109/ICATEEE57445.2022.10093750","url":null,"abstract":"the control of quadruped robot needs the measuring of the ground force reaction for better interaction with the environment. In this paper, we consider the two orthogonal components ground reaction forces of quadruped robot. The proposed system consists of two parallelepipeds elastic elements and strain gauges; the acquisition system is based on high precision analog digital converter (ADC). The Wheatstone full bridge is used for the temperature compensation. The obtained results show that the proposed system has a high sensitivity which can reach 0.0002 N/g; the repetition error can reach 0.1%.","PeriodicalId":150519,"journal":{"name":"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)","volume":"6 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":"117121346","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}
M. Damou, M. Chetioui, Slimane Gouni, A. Boudkhil, R. Bouhmidi, Bohafs Bouras
{"title":"Optimization of Multi-Ports Combline Filter Using Admittance Extraction Technique","authors":"M. Damou, M. Chetioui, Slimane Gouni, A. Boudkhil, R. Bouhmidi, Bohafs Bouras","doi":"10.1109/ICATEEE57445.2022.10093720","DOIUrl":"https://doi.org/10.1109/ICATEEE57445.2022.10093720","url":null,"abstract":"This research study proposes a new geometric dimensioning and sizing adjustment strategy of a multi-ports combline filter based on rectangular waveguide cavities and Chebyshev approximation using High Frequency Structure Simulator (HFSS) for 1.85GHz microwave bandpass applications. The optimization technique is based on introducing additional internal ports to the filter design by admittance [Y] matrix extraction in a specific way that offers the advantage to directly access each resonator’s central frequency (fc), coupling matrix (CM) coefficients and external quality factor (Qs). Extracted values allow approximating the filter specified data via simple tuning procedures. A new structure of a 4th pole Chebyshev bandpass filter is developed to resonate at 1.82GHz and present good electromagnetic response for the whole frequency band. The developed filter design can be easily adapted to other filter prototypes due to the accurate availability of the applied optimization method that allow designing other new high performance filter topologies.","PeriodicalId":150519,"journal":{"name":"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)","volume":"369 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":"124624163","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}
Chaima Chabira, H. Bakhti, M. Bentoumi, Sabir Meftah
{"title":"RNL used for the verification of the efficiency of a localization model in a real WDNs","authors":"Chaima Chabira, H. Bakhti, M. Bentoumi, Sabir Meftah","doi":"10.1109/ICATEEE57445.2022.10093092","DOIUrl":"https://doi.org/10.1109/ICATEEE57445.2022.10093092","url":null,"abstract":"Water distribution systems (WDNs) suffer from leakage problems. The latter can cause damage to infrastructure and also act on public health by the penetration of microbes of waterborne diseases transmissible through the orifices of leaks as soon as a drop in pressure occurs. For this purpose, the network managers always look for the best devices to detect and locate in time the anomaly of the networks as soon as it appears. To realize a system of detection and location of leakage a prototype circuit was realized equipped with pressure sensors and a system of acquisition based on a Digital Signal Processor (DSP). Pressure measurements for specific distances were carried out. A digital filter was applied for denoising. Pairs of pressure values before and after leakage are applied to a mathematical model for localization. We opted to use nonlinear regression (RNL) for the determination of non-measurable physical parameters based on pre-localized leak positions. Validation tests are performed to demonstrate the effectiveness of the model. In our study, a divergence of the model used was found.","PeriodicalId":150519,"journal":{"name":"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)","volume":"254 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":"129294870","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}
Sif Eddine Boudjellal, N. Boukezzoula, Abdelwahhab Boudjelal
{"title":"Deep learning model based on inceptionResnet-v2 for Finger vein recognition","authors":"Sif Eddine Boudjellal, N. Boukezzoula, Abdelwahhab Boudjelal","doi":"10.1109/ICATEEE57445.2022.10093753","DOIUrl":"https://doi.org/10.1109/ICATEEE57445.2022.10093753","url":null,"abstract":"In recent years, The pattern of finger veins is widely recognized as an effective biometric for identifying a person. The traditional finger vein identification systems are based on handcrafted features. However, Finger vein systems has been switched toward automatic features extraction due to the emergence of deep neural networks that are capable of extracting deep features. In this paper, an inceptionResnet-v2 pre-trained deep convolution neural network model is proposed for finger vein identification. We tested the performance of the proposed model on the public Finger vein databases SDUMLA, MMCBNU and FV-USM. The obtained results indicate the effectiveness and security of the proposed network as it has achieved very small errors for all data sets","PeriodicalId":150519,"journal":{"name":"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)","volume":"32 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":"128100281","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":"Robust Sliding Mode Control Design for a 3-DOF Hover System","authors":"Badis Ouahab, M. Alouane, F. Boudjema","doi":"10.1109/ICATEEE57445.2022.10093762","DOIUrl":"https://doi.org/10.1109/ICATEEE57445.2022.10093762","url":null,"abstract":"In this paper, a nonlinear robust Sliding Mode Controller with Combinatorial Reaching Law (SMC-CRL) is designed to control and stabilize a 3-DOF hover system in the presence of external disturbances (moments and aerodynamic forces). The suggested sliding mode tracking control based on combinatorial reaching law approach ensure closed-loop signal convergence in finite time using Lyapunov analysis. Tracking reference trajectories shows the efficacy of the suggested control approach. By appropriately defining the parameter of the SMC-CRL, the system state variables converge towards the system origin in finite time. The system under the proposed control methods has been proved to be asymptotically stable.","PeriodicalId":150519,"journal":{"name":"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)","volume":"82 4 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":"128161958","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":"An Automatic Diagnosis of Bearing Faults of an Induction Motor Based on FFT-ANN","authors":"Saida Dahmane, Fouad Berrabah, Mabrouk Defdaf","doi":"10.1109/ICATEEE57445.2022.10093751","DOIUrl":"https://doi.org/10.1109/ICATEEE57445.2022.10093751","url":null,"abstract":"The present paper proposes a diagnosis and monitoring method for detecting and locating bearing faults in an induction motor based on vibration signal processing. The proposed method served to combine Fast Fourier Transform as an advanced signal-processing tool with the Artificial Neural Network (ANN). This study starts in a first stage with the application of the FFT in order to extract frequencies characterizing the fault of the three vibration signals VX, VY and VZ. These frequencies will be used in a second stage as inputs of the proposed ANN to locate the bearing’s undamaged components. The features extracted in this study for training the ANN model are the fr, 2fir, 4fir, 2for and 3for. Therefore, the results generated by ANN indicate a satisfactory outcome with a higher classification rate of 98.93 %. The suggested FFT-ANN method successfully demonstrates its effectiveness, and the acquired results are completely validated by experiments carried out in the CWRU.","PeriodicalId":150519,"journal":{"name":"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)","volume":"8 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":"130040159","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}
Kouzrit Daoud, N. Bourouba, A. Brahimi, Bouzit Nacerdine, Juan Pablo Martínez
{"title":"Characterization of Binary Composite Made of Epoxy Resin and Barium Titanate in High Frequency Range","authors":"Kouzrit Daoud, N. Bourouba, A. Brahimi, Bouzit Nacerdine, Juan Pablo Martínez","doi":"10.1109/ICATEEE57445.2022.10093721","DOIUrl":"https://doi.org/10.1109/ICATEEE57445.2022.10093721","url":null,"abstract":"In this work we study the dielectric behavior of a binary composite, barium titanate (BaTiO3) and epoxy resin (RE) which is used as a matrix; the characterization of the mixture is done by time-domain spectroscopy (TDS) in a frequency range between DC and 10GHz. The composites are mixed at room temperature and under atmospheric pressure. In order to see the influence of BaTiO3 over the epoxy resin, we made different combinations. The experimental results are compared to the Lichtenecker modified Law; this model gives a good concordance with the experimental curve and it is situated between the two limits of Wiener Laws (upper and lower). This confirms the efficiency of MLL model in predicting the behavior of binary mixture. The importance of this study appears in the application of these composites in developing components in the telecommunication field.","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":"130107958","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":"Brain Tumor Classification Based Deep Transfer Learning Approaches","authors":"Oussama Bouguerra, Bilal Attallah, Youcef Brik","doi":"10.1109/ICATEEE57445.2022.10093731","DOIUrl":"https://doi.org/10.1109/ICATEEE57445.2022.10093731","url":null,"abstract":"The group Doctors without Borders is always working to improve healthcare in underdeveloped countries. By supporting doctors in the identification of brain tumors, artificial intelligence might significantly help them in their endeavors. A neurosurgeon must examine the MRI in order to detect a brain tumor, and experienced neurosurgeons are fairly scarce in third-world nations. In this study, the benchmark dataset for brain tumor detection is used to classify binary data. Our feature extraction algorithms for classification evaluate deep transfer learning with a small number of training datasets. Popular pre-trained models that perform well in image categorization include the VGG16 and VGG19 deep convolutional neural network architectures. The goal of this effort is to use information about the brain to determine whether a tumor is benign or malignant. In this work, we trained our architectures using three distinct medical image enhancement algorithms with little preprocessing in order to explore the effects on classification performance. Our readings support the idea that transfer learning produces trustworthy outcomes when applied to small datasets. The suggested system achieves 99.77% classification accuracy, outperforming state-of-the-art techniques.","PeriodicalId":150519,"journal":{"name":"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)","volume":"10 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":"132886052","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":"Improved of Electrical Performance of Floating Output Interleaved Converter applied in Photovoltaic Application","authors":"Soltana Guesmi, Wasma Hanini, M. Ghariani","doi":"10.1109/ICATEEE57445.2022.10093699","DOIUrl":"https://doi.org/10.1109/ICATEEE57445.2022.10093699","url":null,"abstract":"In this paper, an improved topology of floating interleaved boost converter is presented. Our proposed converter provides better efficiency and high voltage gain compared to another previous interleaved boost converter. This type of converter is investigated for photovoltaic applications because of the limitation in the voltage direct current in the output of photovoltaic module in the case of supplying a power load. The new topology of the boost converter has been modeled and simulated by ORCAD-PSpice simulator. The last part is dedicated to demonstrating the influence of its temperature on the response voltage of the converter.","PeriodicalId":150519,"journal":{"name":"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)","volume":"3 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":"133705532","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":"Censored Maximum Likelihood CFAR Detector in Heterogeneous Gamma-distributed Radar Clutter","authors":"Khaled Zebiri, A. Mezache","doi":"10.1109/ICATEEE57445.2022.10093694","DOIUrl":"https://doi.org/10.1109/ICATEEE57445.2022.10093694","url":null,"abstract":"In practical radar signal detection, Constant False Alarm Rate (CFAR) algorithm is of great importance for target detection embedded in a non-stationary clutter. For Gamma distributed clutter with a known shape parameter, maximum likelihood (ML) CFAR detector is investigated in this paper under type II censoring sample case. The proposed decision rule for the CML-CFAR algorithm (Censored Maximum Likelihood CFAR) is provided in terms of the ML estimations of the scale parameter. The detection performances of CML-CFAR detector are compared through Monte-Carlo simulations against those obtained by CA-CFAR (Cell averaging), ML-CFAR and OSCFAR (Order Statistic) algorithms. Several tests show the favorable and robust performance of the CML-CFAR in the presence of interfering targets.","PeriodicalId":150519,"journal":{"name":"2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE)","volume":"18 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":"115458407","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}