{"title":"Let's Predict Who Will Move to a New Job","authors":"Rania MKHININI GAHAR, Adel Hidri, Minyar Sassi Hidri","doi":"10.1109/IC_ASET58101.2023.10150675","DOIUrl":"https://doi.org/10.1109/IC_ASET58101.2023.10150675","url":null,"abstract":"Any company's human resources department faces the challenge of predicting whether an applicant will search for a new job or stay with the company. In this paper, we discuss how machine learning (ML) is used to predict who will move to a new job. First, the data is pre-processed into a suitable format for ML models. To deal with categorical features, data encoding is applied and several MLA (ML Algorithms) are performed including Random Forest (RF), Logistic Regression (LR), Decision Tree (DT), and eXtreme Gradient Boosting (XGBoost). To improve the performance of ML models, the synthetic minority oversampling technique (SMOTE) is used to retain them. Models are assessed using decision support metrics such as precision, recall, F1-Score, and accuracy.","PeriodicalId":272261,"journal":{"name":"2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"178 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":"126071926","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":"Skin Lesion Segmentation Based on Modified U-NET Architecture","authors":"Hanene Sahli, A. B. Slama, Mounir Sayadi","doi":"10.1109/IC_ASET58101.2023.10150888","DOIUrl":"https://doi.org/10.1109/IC_ASET58101.2023.10150888","url":null,"abstract":"Skin tumor presents supreme pathologies worldwide. Premature discovery of some diseases is important act to rescue the human life. Through medical inspections, due to the existing similarity between lesions, it is not a simple duty to examine and visualize such lesions. Scientific progresses in the practice of deep learning approaches have employed for identifying skin harms. In recent decades, convolutional neural networks “CNN” has establish encouraging procedures to accomplish current condition of knowledge results in diver's applications of clinical imaging. Yet, owing to the need of understanding of long distance spatial relations situated in used images, CNN competences are deemed limited. For image classification, the lately projected Vision Transformer used a completely self-attention focused architecture that picks up long-term spatial relations to emphasis on the image's appropriate portions. To attain improved performance, current transformer-focused networks necessitate large-scale images. Since medical imaging databases are little, implementing unadulterated transformers to medical image examination is complicated. To expand the restoration of comprehensive skin lesion information, numerous segmentation techniques based on (ISIC 2018) datasets have lately been j oint with CNN methods in the usual image field. This work offers a computerized based on Trans- U-Net model to segment skin lesion, which will help in the skin cancer diagnosis. The results demonstrate that the combined Trans-U -Net surpasses other testing methods with a Recall of 92.34 %, Accuracy of 91.52 %, Precison of 90.54 % and dice coefficient of 90.74 %.","PeriodicalId":272261,"journal":{"name":"2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"8 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":"116516923","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}
Rahul R. Kumar, G. Cirrincione, M. Taherzadeh, H. Henao
{"title":"Open Rotor Phase Fault Detection in Wound-Rotor Induction Machines Using Signal Texture and Shallow Neural Networks","authors":"Rahul R. Kumar, G. Cirrincione, M. Taherzadeh, H. Henao","doi":"10.1109/IC_ASET58101.2023.10151214","DOIUrl":"https://doi.org/10.1109/IC_ASET58101.2023.10151214","url":null,"abstract":"Studies related to fault detection in induction motors have taken a next step as machine learning techniques are becoming popular as the industries adapt to Industry 4.0 and make provisions for Industry 5.0. In relation to that, this paper proposes a texture-based feature estimation coupled with a shallow neural network for detection of open rotor phase in wound rotor induction machines using only 3-phase current signals. After signal conditioning of the acquired experimental data and calculation of contrast definitions (texture-based), optimized shallow multi-layer perceptron neural networks have emerged to be the best classification model with respect to its other neural variants. The model selection has been done based on overall architecture, classification accuracy, confidence in probability predictions, time complexity and least number of trainable parameters.","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":"129922309","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":"Data Augmentation for Convolutional Neural Network DeepFake Image Detection","authors":"Ameni Jellali, I. Fredj, K. Ouni","doi":"10.1109/IC_ASET58101.2023.10150803","DOIUrl":"https://doi.org/10.1109/IC_ASET58101.2023.10150803","url":null,"abstract":"We need to develop a technique for better identifying deepfakes because they can distort our perception of reality. This study offers a brand-new forensic technique for spotting falsified facial photos. We made advantage of the Kaggle- provided “real-and - fake- facial-detection” dataset. We are able to distinguish between probable facial alterations based on CNN's design. Thanks to data augmentation approaches, the results exhibit performances that are equivalent to those of previous works. The proposed approach fared better for this binary categorization into fake or real faces than the other cutting-edge studies. Our accuracy is close to 99 percent.","PeriodicalId":272261,"journal":{"name":"2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"15 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":"127761828","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":"Deadbeat Internal Model Control for Temperature of Electric Furnace","authors":"Imen Saidi, N. Touati","doi":"10.1109/IC_ASET58101.2023.10150571","DOIUrl":"https://doi.org/10.1109/IC_ASET58101.2023.10150571","url":null,"abstract":"In this paper, a deadbeat internal model control structure is proposed. This structure is applied to control the temperature inside the electric furnace. The results of numerical simulations have shown the effectiveness of the proposed structure. The deadbeat internal model control has ensured good performance of the study system as compared to the classic internal model control. In fact, the temperature was stable, accurate and has a short response time with zero transients.","PeriodicalId":272261,"journal":{"name":"2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"2015 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":"128032549","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":"Detection and Recognition of Objects in Real Time Using an Intelligent Camera by a Delta Robot","authors":"Naji Guedri, Boulbaba Guedri, Rached Gharbi","doi":"10.1109/IC_ASET58101.2023.10150750","DOIUrl":"https://doi.org/10.1109/IC_ASET58101.2023.10150750","url":null,"abstract":"Developing robots and making them autonomous based on artificial intelligence through computer vision to distinguish objects and make decisions in real time is one of the important things in the field of industry to improve the efficiency of industrial robots and make them smarter. In this article, we have developed an intelligent algorithm in Python language that recognizes 2D objects and sends the information to the robot. This data concerns the size, color, shape and position in the surface. The program can recognize multiple shapes in a single image. All the experiments carried out in this research have given very good results with an error percentage of 0.2 % and thanks to the smart camera connected to the Delta robot. The experimental results obtained show the effectiveness and validity of our work. Numerous experiments demonstrate the effectiveness of the model. The video is available here: https://sites.google.com/view/dalta-smart-camera/accueil","PeriodicalId":272261,"journal":{"name":"2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"39 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":"130136438","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":"A GNSS Measurement Study Based on RTK and PPK Methods","authors":"M. Jemai, M. A. Loghmari, M. Naceur","doi":"10.1109/IC_ASET58101.2023.10151238","DOIUrl":"https://doi.org/10.1109/IC_ASET58101.2023.10151238","url":null,"abstract":"This paper presents and evaluates two emerging methods to ensure accurate height measurements under critical conditions. The tests carried out are related to Jack Up Vessel (JUV) foundation height accuracy, and consists in making the appropriate measures in order to achieve a precise installation of an Offshore Wind Farm (OWF), based on Real-Time Kinematic (RTK) and Post-Processed Kinematic (PPK) methods. It is important to note that the OWF project is located far from the coastline, not always in the standard working range of RTK, which makes our task even more complex and restrictive. Again, it is well known in geographic positioning, that the accuracy of vertical coordinates is always more difficult to achieve than the horizontal ones, which explain the complexity of our task to define a precise height measurement of the wind turbines. For the purposes of this study, we use a Global Navigation Satellite System (GNSS) unit referred by DGPS5 (AsteRx-U), a GA830 antenna and Trimble Business Center (TBC) V5.10 software program to make post-processing. To reach a centimeter level of precision, all measures will be evaluated according to the tolerance specification of ±2.5 cm. Based on the test results and analysis, we will show the influence of the baseline lengths to achieve precise measurements and the contribution of the PPK method outside the RTK working range.","PeriodicalId":272261,"journal":{"name":"2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"6 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":"115186692","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":"Voltage and Frequency Regulation in PV Integrated Distribution System Using Plugin Electric Vehicles with FL-SRF based V2G Technology","authors":"H. Kumar, Abdul Gafoor Shaik","doi":"10.1109/IC_ASET58101.2023.10151048","DOIUrl":"https://doi.org/10.1109/IC_ASET58101.2023.10151048","url":null,"abstract":"The intermittent behavior of renewable energy sources and the increasing prevalence of electric vehicle charging can adversely affect the voltage and frequency in the local distribution networks. The issues can be addressed by introducing an effective bi-directional power flow control with Plugin Electric Vehicles (PEVs), This paper presents a novel methodology to improve the voltage and frequency profile of Distributed Network integrated with Solar Photovoltaic (PV) & PEVs using a Fuzzy Logic - Synchronous Reference Frame (FLSRF) based control algorithm in Vehicle-to-Grid (V2G) technology. The novelty of the proposed control includes a PEV feed-forward block to adapt to the changes in charging and discharging currents. The control technique also considers the changes in grid voltage, load current, and DC link voltage to output the gating pulses for the converter. The performance of proposed control technique has been established by simulating the changes in load and PEVs availability in the MATLAB environment in accordance with IEEE 1547–2018 standards related to distributed energy resources interfacing.","PeriodicalId":272261,"journal":{"name":"2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"137 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":"115093849","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}
Amina Soltani, Hela El Mannai, Mohamed Naceur Sabeur
{"title":"A New Hyperspectral Image Classification Method Based on Extended Wavelets Transform","authors":"Amina Soltani, Hela El Mannai, Mohamed Naceur Sabeur","doi":"10.1109/IC_ASET58101.2023.10151243","DOIUrl":"https://doi.org/10.1109/IC_ASET58101.2023.10151243","url":null,"abstract":"In the past few years, more machine learning frameworks have been applied to hyperspectral image classification tasks and they have achieved good results. Most classification methods often ignore the correlation between local spatial features. They treat each pixel vector independently. In this paper, a new hyperspectral image classification method is proposed in which both spatial and spectral information is caried out by using wavelets transform. In this method, 1D wavelets transform is applied to the spectral dimension of the HSI to reduce spectral dimensionnality. Then, 2D wavelets transform is used to extract the edge texture and spatial information of the hyperspectral image. Finally, spectral and spatial features are fused to classify the images using support vector machine (SVM) classifier. Experiments are carried out on the Indian Pines dataset and the obtained results show the effectiveness of our proposed approach compared with conventional approaches for HSI classification.","PeriodicalId":272261,"journal":{"name":"2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"3 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":"116918116","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":"Study and Analysis of 2-Phase DAB DC-DC Converter for Fuel Cell Applications","authors":"Abdelkarim Aouiti, Abdessami Soyed, F. Bacha","doi":"10.1109/IC_ASET58101.2023.10151037","DOIUrl":"https://doi.org/10.1109/IC_ASET58101.2023.10151037","url":null,"abstract":"This research paper studies a DC/DC converter known as the double active bridge (DAB) converter which operates at high frequency. This converter has a broad range of applications, especially for fuel cell (FC) and hybrid and electric vehicle applications. An inverter and rectifier make up the converter; which are galvanically isolated through a high frequency planar transformer. This last is utilized in extend to adapt voltages and to isolate the ports. A Single-Phase Shift (SPS) technique has been employed in favor of providing control signals for the Mosfet devices of the output bridge with respect to those of the input bridge. This phase shift angle (PSA) has been introduced for the sake of controlling the transferred power. The major strength of this converter is the compactness of its components due to the high frequency operation. In addition to that, it has an important voltage amplification with a broad voltage scale and it promotes a significant efficiency. A clear and detailed study of the DAB converter is presented in this work. Using Matlab/Simulink software, simulations were conducted for a variable PSA in order to validate its operation. Finally, detailed analysis and discussions has been carried out.","PeriodicalId":272261,"journal":{"name":"2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"34 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":"123534098","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}