{"title":"Towards Creating Exotic Remote Sensing Datasets using Image Generating AI","authors":"Mohamed Abduljawad, Abdullah Alsalmani","doi":"10.1109/ICECTA57148.2022.9990245","DOIUrl":"https://doi.org/10.1109/ICECTA57148.2022.9990245","url":null,"abstract":"Over the past few years, neural networks have been used more often to solve long lasting challenges. Remote sensing and data classification were some of the fields that have widely depended on this continuously developing technology. In this context, remote sensing data related to places with harsh conditions have been missing, especially the ones related to SAR imagery. Such conditions include deserts, glaciers, and icebergs, where lots of people have lost their lives in, due to the lack of efficient methods of searching and finding these people in such critical timing. Training AI models on similar scenarios to fasten the process can be beneficial, but the lack of data is an obstacle in the way of development such models. In this paper, we propose using image generating AI systems to generate remote sensing datasets that are difficult to collect using normal imagery, thus creating more efficient image classification systems that can be used in scenarios such as locating missing people. Several AI models are discussed in this paper: Dall-E 2, Stable Diffusion and Midjourney, where they are found to vary a lot in terms of the generated images, that could be because of the architecture of the model, and the data they trained on. The overall performance of the AI models is promising. Dall-E 2 performed the best in our tests, followed by Stable Diffusion, and finally Midjourney. This research could open the door to using such models in generating lots of datasets, which might solve crucial problems.","PeriodicalId":337798,"journal":{"name":"2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)","volume":"21 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":"126500132","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":"Abnormal Phase Scintillation Observed From GLONASS Signals","authors":"A. Darya, M. Shaikh, I. Fernini, Hamid AlNaimiy","doi":"10.1109/ICECTA57148.2022.9990125","DOIUrl":"https://doi.org/10.1109/ICECTA57148.2022.9990125","url":null,"abstract":"In this work, we analyze the phase scintillation index observed from the GPS, GLONASS, Galileo, and BeiDou satellite constellations, for a continuous period of three years. Our analysis reveals an elevated level of L1 phase scintillation observed from most GLONASS satellites, and none of the other GNSS constellations during the same period. This is of particular interest as the abnormality was observed during a solar minimum period, and from satellites labeled as healthy. Our observations were verified with data from four different receivers located in different regions. The goal of this study is to highlight these abnormal phase scintillations from GLONASS satellites as they may adversely affect the reliability and integrity of the GLONASS positioning service, especially during periods of heightened geomagnetic activity.","PeriodicalId":337798,"journal":{"name":"2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)","volume":"9 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":"126173543","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":"Reliability Investigation of Long Photovoltaic String Generators under Electrical Fault Scenarios","authors":"Belqasem Aljafari","doi":"10.1109/ICECTA57148.2022.9990141","DOIUrl":"https://doi.org/10.1109/ICECTA57148.2022.9990141","url":null,"abstract":"Long string photovoltaic generators are the most commonly adopted connection architecture in PV systems. But, these generators are prone to electrical faults that can cause severe power losses, system damage and failure. In this paper, the effect of various electrical faults such as short-circuit fault, line-ground fault, bypass diode faults and mismatch fault on the long string have been investigated. Also, the performance of the string with increasing strength of the electrical faults has been studied. The electrical faults have been studied for a long string of twenty series connected modules in the MATLAB environment and the performance analysis has been done based on the power, voltage and current outputs, power losses, fill factor, efficiency and power-voltage curves analysis. It has been found that the series strings are highly vulnerable to line-ground and short-circuit faults whereas mismatch faults can create temporary losses in the system. The maximum losses in the PV string have been calculated as SO%, 100%, SO% and 86.70% under short-circuit, line-ground, bypass diode and mismatch faults.","PeriodicalId":337798,"journal":{"name":"2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)","volume":"226 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":"134629712","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}
Mahdi Debouza, R. Errouissi, H. Shareef, Mohammed Al Razehi
{"title":"Design of Robust Feedback Control Together with Anti-Windup Compensator in Natural Frame for Three-Phase Grid-Tied Inverters with LCL Filter","authors":"Mahdi Debouza, R. Errouissi, H. Shareef, Mohammed Al Razehi","doi":"10.1109/ICECTA57148.2022.9990370","DOIUrl":"https://doi.org/10.1109/ICECTA57148.2022.9990370","url":null,"abstract":"The design and experimental validation of a robust feedback controller for three-phase grid-tied inverters using LCL filter are presented in this paper. The proposed controller is developed in the natural reference frame to deal with normal and abnormal grid voltage conditions. The objective of the proposed controller is to achieve the goals of stabilization, accurate tracking of sinusoidal references, and asymptotic disturbance rejection. These goals are fulfilled by considering an existing dynamic/stabilizing compensator, which was proposed for a class of perturbed linear systems with sinusoidal disturbances. This compensator guarantees accurate sinusoidal reference tracking under fixed-frequency sinusoidal disturbances. However, during the saturation of control input, the transient response can be deteriorated due to the resonant build-up and can even destroy the closed-loop stability. To overcome this issue, the dynamic compensator is modified, in this paper, to incorporate an anti-windup scheme, where the gain is determined using absolute stability tools including the circle criterion. The proposed controller demonstrated a strong ability to ensure exact tracking of the sinusoidal current reference and reject sinusoidal disturbances with a good transient response even when the momentarily controller saturates.","PeriodicalId":337798,"journal":{"name":"2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)","volume":"95 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":"121391667","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}
I. Adeyemi, M. Méribout, L. Khezzar, N. Kharoua, Khalid Alhammadi
{"title":"Influence of Constant Wave and Pulsatile Electric Field on Water Droplets Coalescence in Crude Oil Emulsions","authors":"I. Adeyemi, M. Méribout, L. Khezzar, N. Kharoua, Khalid Alhammadi","doi":"10.1109/ICECTA57148.2022.9990233","DOIUrl":"https://doi.org/10.1109/ICECTA57148.2022.9990233","url":null,"abstract":"In this study, the coalescence of water droplets in crude oil under electric field was assessed numerically. The impact of different electrical field waveforms on the separation performance was evaluated. The pulsatile electric fields studied include sinusoidal, square wave, saw-tooth wave and triangular waves. In addition, the effect of several process conditions and emulsion properties on coalescence were assessed. The effect of electric potential (0-30kV), crude oil viscosity (10.6-212mPa.s), interfacial tension (20-250mN/m) and flow inlet velocity (10-100mm/s) under electric field application was investigated. The order of coalescence time followed: constant wave $sim$ square wave < sinusoidal wave < saw-tooth wave $sim$ triangular wave. The lowest performance for the coalescence was 160ms for saw-tooth and triangular waves. The energy consumed increased from 204. 8mJ to 5. 12J with the elevation of the applied electric potential from 2kV to 20kV. However, the consumed coalescence energy reduced to 2. SSJ at 30kV from 5. 12J at 20kV.","PeriodicalId":337798,"journal":{"name":"2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)","volume":"64 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":"128703426","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":"Speed Control of Induction Motors Using V/f Control Method","authors":"Anil Liyanage, M. Nagrial, A. Hellany, J. Rizk","doi":"10.1109/ICECTA57148.2022.9990374","DOIUrl":"https://doi.org/10.1109/ICECTA57148.2022.9990374","url":null,"abstract":"This research paper is about controlling the speed of induction motors by combining voltage and frequency methods. The proposed variable speed drive consists of a rectifier section, filter section and inverter section. In addition, a three-phase voltage inverter with power IGBTs and sinusoidal pulse width modulation are used to vary both voltage/frequencies to achieve an efficient speed control method for three-phase induction motors. This research paper describes the principal operation of components used for the v/f control method. Moreover, MATLAB simulation results in different segments and characteristic curves are also obtained.","PeriodicalId":337798,"journal":{"name":"2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)","volume":"50 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":"123258574","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":"Speech Denoising with Maximal Overlap Discrete Wavelet Transform","authors":"Iman Khalil Alak, S. Ozaydin","doi":"10.1109/ICECTA57148.2022.9990250","DOIUrl":"https://doi.org/10.1109/ICECTA57148.2022.9990250","url":null,"abstract":"In this paper, the effectiveness of the maximum overlapping discrete wavelet transform (MODWT) method on denoising the speech signal is tested and examined. Ensuring the intelligibility of the speech signal in noisy environments by separating it from the noise is a widely researched topic today. On the other hand, being able to recover the original speech from the noisy signal with minimal distortion is a challenge due to the difficulties in removing the background noise. Numerous factors in environmental noise environments can interfere with the signal. In this study, the performance of some discrete wavelets transform methods is experimentally analyzed using different wavelet filters. The analysis program was carried out in the MATLAB environment. As the input noise speech signal, speech sounds containing different environmental background noises (train, car, station, plane, etc.) were analyzed. During the tests, these noisy input signals were filtered out from the speech signal by wavelet analysis. The input noisy speech signal is decomposed into wavelet coefficients with different thresholding methods. The reconstructed speech was compared by measuring the signal-to-noise ratio (SNR) values between the noisy input signal and the smoothed output signals. The scientific contributions of the study include a detailed comparative analysis of the performances of various wavelet methods against different background environmental noises.","PeriodicalId":337798,"journal":{"name":"2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)","volume":"50 2 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":"126106416","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":"Effects of Matching Short Current Density for Dual Junction Lead Salts TPV Device at 1400 C⁰","authors":"M. Khodr, P. McCann","doi":"10.1109/ICECTA57148.2022.9990347","DOIUrl":"https://doi.org/10.1109/ICECTA57148.2022.9990347","url":null,"abstract":"Thermophotovoltaic (TPV) device that can be efficiently used to convert thermally stored energy in molted silicon at 1400 C0 cells to electrical energy has been studied. The device utilizes Pb0.8 Sr0.2 Se/ Pb0.81 Sn0.19 Se /Pb0.8 Sr0.2 Se IV-VI material in a multiple quantum well configuration two junction device structure. Using quantum well calculations and including strain effects the interband optical transition energy gaps (well widths) were calculated to be 450 meV(3.5nm), and 343 meV(4.9nm), for the top and bottom junctions, respectively. We calculated the short current density, output electric power density and efficiency for each junction as a function of device thickness. The overall maximum electric power density and efficiency for the device was 3.46 W/cm2 and 26.7% at device thickness of 6.0 $mu$m; however the short current density for both junctions was not matched. In order to do this and stabilize the device performance, we optimized the junction layers n and p thickness values. As a result, the device maximum output electrical power and efficiency dropped to 3.05 W/cm2 and 16.89% at device thickness values of 3.65 and 9.95 $mu$m. At these values, the matched short circuit current density is 11.55 A/cm2. It is shown that multiple quantum well single junction design for the above material system suffice to obtain better efficiency and output electric power compared to designs using the same bulk material system.","PeriodicalId":337798,"journal":{"name":"2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)","volume":"1 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":"115599190","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":"Spam Detection Techniques Recapped","authors":"S. Kishore, M. Awad, Ahmed Al-Zubidy","doi":"10.1109/ICECTA57148.2022.9990450","DOIUrl":"https://doi.org/10.1109/ICECTA57148.2022.9990450","url":null,"abstract":"This paper examines the modern defensive measures that deal with the global spam traffic over the Internet. Much of the review consists of cross-referencing recently published material on the subject matter and including the relatively new and promising methods and frameworks alongside them; unimplemented approaches with promising end results in other fields are also referenced and summarized. The highlighted defensive measures primarily cover the individual End-User tier of the Internet and the Domain Name System (DNS).","PeriodicalId":337798,"journal":{"name":"2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)","volume":"24 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":"125361267","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":"Optimize Oil Field Electrification To Minimize Power Consumption","authors":"Prashveen Prasad, Saad Balhasan","doi":"10.1109/ICECTA57148.2022.9990248","DOIUrl":"https://doi.org/10.1109/ICECTA57148.2022.9990248","url":null,"abstract":"Pressure is the energy of the reservoir. After years of production, the reservoir pressure will decline, and there comes a stage when it will not be sufficient to lift the oil to the surface. Artificial lift systems like electrical submersible pumps (ESPs) are utilized to provide adequate pressure to lift the oil to the surface by substituting the declining reservoir pressure. However, the power consumption of ESP is relatively high. The analysis is done for a well with high Gas Oil Ratio (GOR), and this paper aims to minimize electricity usage and Capital Expenditure (CAPEX) by modifying the ESP design or by utilizing the latest technology like Advanced Gas Handlers (AGH). The breakdown power and the required number of stages of ESP are analyzed for a range of depths and inner diameters. It was observed that the more profound the depth, the higher the power consumption and the required number of stages. It was noticed that the wider the pump, the lower the power consumed and the number of ESP stages. When the depth is less, the presence of gas will be high, so Advanced Gas Handlers (AGHs) are utilized to prevent gas locking in the pump. The ESP design was optimized by considering the intermediate depth and the largest possible inner diameter to reduce the number of stages and the motor’s horsepower. The cost associated with ESP has declined for a single well, and there is a tremendous CAPEX reduction for a reservoir with hundred wells. The novelty of this paper is that it helps to determine the optimum parameters, i.e., whether to utilize the latest technology or modify the ESP design to minimize power consumption and CAPEX for gassy wells.","PeriodicalId":337798,"journal":{"name":"2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)","volume":"1 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":"123928024","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}