{"title":"Field-Oriented Control Based on Nonlinear Techniques for Wind Energy Conversion Systems","authors":"H. Gasmi, H. Benbouhenni, N. Bizon, S. Mendaci","doi":"10.1109/ECAI58194.2023.10194068","DOIUrl":"https://doi.org/10.1109/ECAI58194.2023.10194068","url":null,"abstract":"This work represents the modeling, control, comparison, and simulation of the doubly fed induction generator (DFIG) based wind energy conversion system. In order to control the reactive and active power, synergetic control and super twisting algorithm are suggested. These two methods are used to overcome the problems of field-oriented control (FOC). So, it is necessary to conduct a comparative study between the two proposed strategies to know the best way to control the generator. Therefore, Matlab software is used to perform this comparison, where the focus is on current quality, ripple reduction ratio, power, dynamic response, robustness, and degree of complexity. According to the observations, the super-twisting algorithm outperforms the synergetic control in terms of minimizing harmonic current distortion and significantly reducing ripples in reactive and active power, which also granted acceptable solidity towards parametric variations.","PeriodicalId":391483,"journal":{"name":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"113 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128162268","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":"Remaining Useful Life Prediction Method for the Rolling Element of an Electrical Machine Using Linear Regression Analysis of the Vibration Signal of a Faulted Bearing","authors":"Syed Safdar Hussain, S. S. H. Zaidi","doi":"10.1109/ECAI58194.2023.10194134","DOIUrl":"https://doi.org/10.1109/ECAI58194.2023.10194134","url":null,"abstract":"The anticipation of potential failures and provision of early warning signals are enabled by predictive maintenance, playing a vital role in ensuring the optimal performance and reliability of electromechanical systems. In this context, the research presents an effective and efficient approach for predicting bearing faults, focusing on the analysis of vibration signals from rolling elements, particularly bearings. By applying linear regression analysis, the vibration signal from each bearing sample is transformed into the frequency domain, enabling the calculation of the area under the curve. To estimate the remaining useful life (RUL) of the bearing, the research utilizes linear regression analysis, where the slope of the regression line serves as a crucial indicator. A positive slope suggests accelerated wear or imminent failure, indicating a decrease in the RUL as the independent variable increases.By proactively detecting and resolving potential faults, industries can effectively minimize costs linked to unexpected downtime, urgent repairs, and component replacements. Notably, the study utilizes benchmark data sourced from the NASA prognostics data archive.","PeriodicalId":391483,"journal":{"name":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114695794","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}
Maria-Elena Stanciu, R. Teodorescu, G. Iordachescu, D. Visan
{"title":"Transmission Techniques in Data Acquisition Systems using Arduino and ESP32","authors":"Maria-Elena Stanciu, R. Teodorescu, G. Iordachescu, D. Visan","doi":"10.1109/ECAI58194.2023.10193921","DOIUrl":"https://doi.org/10.1109/ECAI58194.2023.10193921","url":null,"abstract":"The purpose of this work is to present three methods of data transmission using two acquisition boards (ESP32 Node MCU and Arduino UNO) and two design platforms (Labview and Blynk). With the help of temperature, brightness, and humidity sensors, the acquisition boards can acquire data regarding the environmental parameters within a plant cultivation framework. The ESP32 Node MCU acquisition board achieves data transmission through serial communication and via Blynk, while the Arduino UNO acquisition board achieves data transmission through serial communication and via Labview. Data acquired using the two boards (Arduino and ESP32) and through the three methods (serial, via Blynk and via Labview), are compared in order to highlight the performance of each in terms of transmission speed, complexity, costs and user accessibility. It was demonstrated that coupling the Arduino board with the Labview platform greatly enhances the user interface, making it on par with an interface achieved by the ESP32 board via the modern Blynk on-line server. The methods presented in this paper can be applied as didactical aids in many university laboratories.","PeriodicalId":391483,"journal":{"name":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114991397","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}
Dalal Zellouma, H. Benbouhenni, N. Bizon, Y. Bekakra
{"title":"A New Field-Oriented Control for Induction Motor Drive Using a Synergetic-Super Twisting Algorithm","authors":"Dalal Zellouma, H. Benbouhenni, N. Bizon, Y. Bekakra","doi":"10.1109/ECAI58194.2023.10193989","DOIUrl":"https://doi.org/10.1109/ECAI58194.2023.10193989","url":null,"abstract":"In this work, a new field-oriented control (FOC) is proposed to control the induction motor drives. The FOC method stands out because of its use, simplicity, and fast dynamic speed. However, there are disadvantages to this strategy. One of its disadvantages is that there are ripples in the torque, flux, and levels at present. In addition, the current has a high total harmonic distortion value in comparison to non-linear control. The super-twisting algorithm and synergetic control are strategies of non-linear control, a novel solution is offered to address these issues and enhance the performance and effectiveness of this approach to total harmonic distortion, which is proposed and employed in the conventional FOC strategy to minimize the ripples of current, torque, and total harmonic distortion. To simulate the proposed strategy of IM drive, Matlab software has been used. Comparison results between the suggested control and a traditional FOC technique can illustrate the proposed control greatly improved performance and robustness.","PeriodicalId":391483,"journal":{"name":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123191052","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}
Moola Vamsi Krishna Reddy, N. R. Reddy, Pinnepalli Naveen Kumar, Ramireddy Praneeth Kumar Reddy, M. Sarada, Avireni Srinivasulu
{"title":"Modified Low Power High Speed Approximate Adders For Energy Efficient Arithmetic Applications","authors":"Moola Vamsi Krishna Reddy, N. R. Reddy, Pinnepalli Naveen Kumar, Ramireddy Praneeth Kumar Reddy, M. Sarada, Avireni Srinivasulu","doi":"10.1109/ECAI58194.2023.10193956","DOIUrl":"https://doi.org/10.1109/ECAI58194.2023.10193956","url":null,"abstract":"The suggested circuits are crucial for increasing the effectiveness of circuit design in approximate computing since they are related to the design of approximate full adders for energy-efficient arithmetic applications. Adders, which are essential to computing machines, are composed of the building blocks of arithmetic circuitry. Digital signal processing applications commonly use arithmetic circuits, based on MOSFET technology. Using the Cadence Virtuoso tool and 45 nm CMOS technology, the suggested new designs are simulated. The proposed innovative circuits are examined and evaluated using Cadence Software for latency, power consumption, and mistakes.","PeriodicalId":391483,"journal":{"name":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115536438","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 Efficient Mixed Integer Nonlinear Program Model for Optimal Positions of Pressure Reducing Valves in Water Distribution Systems","authors":"Pham Duc Dai","doi":"10.1109/ECAI58194.2023.10193914","DOIUrl":"https://doi.org/10.1109/ECAI58194.2023.10193914","url":null,"abstract":"Water loss happens in all water distribution systems (WDSs). To deal with such the problems, pressure management strategy should be applied to lessen the water leakage flow. The optimal pressure management is formulated to minimize the total of excessive pressures in all demand supplying nodes. In mathematical formulation, it is a mixed-integer nonlinear program (MINLP). The existing MINLP model having been used until now for optimizing PRV locations is proven to be hard for MINLP algorithms based gradient methods and therefore is only suitable for small-scale WDSs with a limited number of demand patterns. In this paper, an efficient non-smooth constraints are proposed to model whether PRVs are installed on links for the optimal PRV localization problem. Since these constraints can be approximated by relaxed forms of complementarity inequalities, high quality MINLP solution can be achieved in a reasonable computation time. To demonstrate the efficacy of our new modeling approach, comparison of the performance of the newly formulated MINLP with the existing one for solving optimal PRV locating problems for a real WDS are taken. The results have shown that with our new MINLP model, better MINLP solution can be attained even for WDSs with multiple demand patterns.","PeriodicalId":391483,"journal":{"name":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122562445","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 Modern Paradigm for Effective Software Development: Feature Toggle Systems","authors":"Cosmin-Ioan Roşu, Mihai Togan","doi":"10.1109/ECAI58194.2023.10193936","DOIUrl":"https://doi.org/10.1109/ECAI58194.2023.10193936","url":null,"abstract":"Feature management represents the strongest method in supporting continuous integration and continuous delivery. It is a method of modifying characteristics of an application while on production, without reaching the code. Developers can create functions commutations by creating a decision point which will decide the way the system would then be running. In other words, these commutations permits fast and easy delivering of context sensitive software. The main aspects of a system that manages these feature toggles would be the ability to flip the state in real time, furthermore the segmentation of user base by offering a context and lastly the ability to modify values involved in some kind of operations, from outside the system. Through an evaluation of these key features, this analysis aims to provide insights into the suitability and effectiveness of each system for managing feature toggles in software development scenarios. Moreover, in addition to the comparative analysis, this paper aims to propose a custom solution that addresses the identified challenges and limitations of existing systems. Our custom implementation is designed to enhance the management of feature toggles, offering improved organization and streamlined processes. By detailing the main resources utilized in our custom system, including environments, projects, feature toggles, and client SDKs, we present a novel approach that aims to simplify and optimize feature toggle management.","PeriodicalId":391483,"journal":{"name":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129661189","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 Lightweight Image Cryptography Approach via Invertible Transformation","authors":"Tanisha Gupta, A. Sharma, A. Selwal","doi":"10.1109/ECAI58194.2023.10194010","DOIUrl":"https://doi.org/10.1109/ECAI58194.2023.10194010","url":null,"abstract":"Image security is a critical issue in the recent era of multimedia applications. Mostly, there has been an exponential growth in image data communication among various parties. Due to exchange of confidential image data via communication channels, the attackers may intercept the communication channel that led to serious security breaches. In this manner, the confidential data in the digital images may be illegally misused by the unauthorized adversaries. To counter these attacks, one of the viable solutions is to apply image cryptography algorithms for secure communication between sender and receiver. The existing image cryptography methods exhibit a trade-off between security and performance. In this paper, we expound a lightweight image cryptography algorithm for the encryption of digital images. Our approach makes use of simple linear bitwise operator along with various encryption keys that is shared between sender and receiver. The proposed approach is efficient in terms of complexity and highly secure to send data among different users. The method exhibits a, mean square error (MSE) of 13218.83, peak signal-to-noise ratio (PSNR) of 7.364 and signal-to-noise ratio (SNR) of 16.864 respectively.","PeriodicalId":391483,"journal":{"name":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130307025","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}
Alin Bobeica, Ioan-Catalin Dragoi, H. Coanda, D. Coltuc
{"title":"Adapting the PPVO framework for Audio Reversible Data Hiding","authors":"Alin Bobeica, Ioan-Catalin Dragoi, H. Coanda, D. Coltuc","doi":"10.1109/ECAI58194.2023.10194212","DOIUrl":"https://doi.org/10.1109/ECAI58194.2023.10194212","url":null,"abstract":"Pixel-based pixel value ordering (PPVO) represents an efficient solution for low bit-rate and high-fidelity reversible data hiding in digital images. The main novelty of this approach is the selection between two distinct prediction values for each potential host pixel. This paper maintains and refines this feature and adapts it for audio reversible data hiding. For each audio sample value, three possible prediction values are considered: a simple average of neighboring samples around the current position and two weighted averages. Differences between neighboring samples are used to select between the two weighted predictors from the three possibilities. The PPVO framework is then used to select the final predictor for each individual sample from the two remaining predictors. The data embedding algorithm is also adapted to allow for multi-bit embedding, which better exploits the prediction error histogram of audio sample values. Experimental are provided, the proposed PPVO-based approach outperforms other existing audio reversible data hiding scheme, most notably at medium bit-rates.","PeriodicalId":391483,"journal":{"name":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129984929","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":"Application of Harris Hawks Optimization in Single Objective Optimal Power Flow","authors":"M. Al-Kaabi, V. Dumbrava, M. Eremia","doi":"10.1109/ECAI58194.2023.10194019","DOIUrl":"https://doi.org/10.1109/ECAI58194.2023.10194019","url":null,"abstract":"One of the most important issues in power systems that should be considered for the best planning, operation, and energy management is optimal power flow (OPF). Numerous metaheuristic optimization techniques have been proposed to address OPF issues. Recently developed is a meta-heuristic technique known as Harris Hawks Optimization (HHO), which was inspired by the behavior of Harris Hawks. Finding the best objective functions, including fuel cost, emissions, active power losses, and voltage deviation across all buses, is the main focus of this work. The real power of generators (with the exception of the swing bus generator), voltage magnitude at the PQ bus, source VAR compensations, and tap changer setting at the transformers are the control variables that must be set in order to achieve the best objective function. IEEE 57-bus power test is the standard grid that has been used by Harris Hawks Optimization (HHO) to demonstrate its superiority and efficacy in power system applications. The objective function comparison results showed the superiority of Harris Hawks Optimization (HHO) in providing better solutions than known algorithms described in the literature.","PeriodicalId":391483,"journal":{"name":"2023 15th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116467226","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}