{"results":[{"id":"ss_f49588f681b037761f4aa06dfcb9bd97941d305e","title":"A study of sequential control for automated startup in PWR nuclear power plants","authors":[{"name":"J. Fang"}],"abstract":"Different from the Generation IV reactor with inherent safety Characteristic, traditional Pressurized Water Reactor, as the most widely used nuclear power plant, has a complex startup process that demands high control accuracy. Traditional manual control suffers from response delays and inconsistent operations, limiting its reliability. This paper presents a sequential control method based on an expert PID algorithm for fully automated startup from cold state to power operation. The startup is divided into four stages—heating, pressurization and steam dome formation, criticality, and power operation—with tailored control strategies and fault-handling mechanisms for each. Comparative simulations between manual and sequential control show that the proposed system achieves superior accuracy and stability in key parameters such as temperature, pressure, and water level, while maintaining stable performance under fault conditions including heater failure, spray valve malfunction, and control rod misoperation. The results indicate that this approach provides a feasible and robust solution for automated startup of PWR, with strong potential for engineering applications.","source":"Semantic Scholar","year":2026,"language":"en","subjects":["Engineering"],"doi":"10.1117/12.3108317","url":"https://www.semanticscholar.org/paper/f49588f681b037761f4aa06dfcb9bd97941d305e","is_open_access":true,"published_at":"","score":70},{"id":"ss_dfa0cdb94caed6f69ee2bf107c80b7a07c8cf5f4","title":"A dual residual image restoration network for nuclear noise image denoising","authors":[{"name":"Xue Gao"},{"name":"Zhiqiang Wu"},{"name":"Jie Liu"},{"name":"Jie Chen"}],"abstract":"To better preserve the texture detail information of nuclear noise images after denoising in a nuclear environment, a nuclear noise image denoising method based on a dual residual network is proposed. The proposed DRADNet consists of different branch sub-networks composed of the residual channel self-attention module (GCARB) and the multi-semantic space residual module (MS-SRB), which enhances the model’s learning ability by capturing complementary feature information of the image. Each sub-network contains five residual attention blocks, which capture multi-scale feature information of the image through sampling operations and long skip connections. The feature fusion module (FFMB) fuses the features extracted by the two branch networks, making the flat areas of the image smoother and the texture areas sharper, to obtain higher-quality and clearer images. A large number of experiments have shown that, compared with other state-of-the-art denoising methods, the denoising effect of DRADNet is the most outstanding.","source":"Semantic Scholar","year":2026,"language":"en","subjects":["Engineering"],"doi":"10.1117/12.3107187","url":"https://www.semanticscholar.org/paper/dfa0cdb94caed6f69ee2bf107c80b7a07c8cf5f4","is_open_access":true,"published_at":"","score":70},{"id":"arxiv_2602.08015","title":"Bridging the Gap: Adapting Evidence to Decision Frameworks to support the link between Software Engineering academia and industry","authors":[{"name":"Patricia G. F. Matsubara"},{"name":"Tayana Conte"}],"abstract":"Over twenty years ago, the Software Engineering (SE) research community have been involved with Evidence-Based Software Engineering (EBSE). EBSE aims to inform industrial practice with the best evidence from rigorous research, preferably from systematic literature reviews (SLRs). Since then, SE researchers have conducted many SLRs, perfected their SLR procedures, proposed alternative ways of presenting their results (such as Evidence Briefings), and profusely discussed how to conduct research that impacts practice. Nevertheless, there is still a feeling that SLRs' results are not reaching practitioners. Something is missing. In this vision paper, we introduce Evidence to Decision (EtD) frameworks from the health sciences, which propose gathering experts in panels to assess the existing best evidence about the impact of an intervention in all relevant outcomes and make structured recommendations based on them. The insight we can leverage from EtD frameworks is not their structure per se but all the relevant criteria for making recommendations to practitioners from SLRs. Furthermore, we provide a worked example based on an SE SLR. We also discuss the challenges the SE research and practice community may face when adopting EtD frameworks, highlighting the need for more comprehensive criteria in our recommendations to industry practitioners.","source":"arXiv","year":2026,"language":"en","subjects":["cs.SE"],"url":"https://arxiv.org/abs/2602.08015","pdf_url":"https://arxiv.org/pdf/2602.08015","is_open_access":true,"published_at":"2026-02-08T15:30:19Z","score":70},{"id":"doaj_10.1590/1980-5373-mr-2025-0388","title":"Bayesian ANN-Based Prediction and Multi-Objective Optimization of Tribological Behavior in Magnesium Alloy AZ91D at Elevated Temperature Using Pareto GA","authors":[{"name":"Beniyel Muthuraj"},{"name":"Sivapragash Murugesan"},{"name":"Rajesh Rajamony"},{"name":"Michael Thomas Rex Francis"}],"abstract":"This study uses an artificial neural network (ANN) model to predict the wear rate and friction coefficient of the magnesium alloy AZ91D, based on experimental data from a pin-on-disc tribometer. The model includes three essential process parameters: sliding velocity (m/s), applied load (kg), and sliding distance (km), in addition to the chamber temperature (°C). A total of 27 experimental designs were devised using a Box-Behnken design. The ANN model was trained utilizing the Bayesian regularization approach with one hidden layer of 10 neurons. The developed ANN models for predicting wear rate and coefficient of friction were used as goal functions in a multi-objective Pareto-based genetic algorithm to maximize tribological performance. The ideal solution indicates a sliding velocity of 2 m/s, a load of 5 kg, a sliding distance of 1.5 km, and a chamber temperature of 143°C, yielding a minimal wear rate of 1.7891 mm3/kg·km and a coefficient of friction of 0.1435. Energy Dispersive Spectroscopy and Scanning Electron Microscopy analyses of worn surfaces show that the wear rate decreases with increasing load and sliding velocity at higher temperatures. The oxide layer that forms at high temperatures enhances wear resistance, even under high loads and sliding speeds.","source":"DOAJ","year":2025,"language":"","subjects":["Materials of engineering and construction. Mechanics of materials"],"doi":"10.1590/1980-5373-mr-2025-0388","url":"http://www.scielo.br/pdf/mr/v28/1516-1439-mr-28-e20250388.pdf","pdf_url":"http://www.scielo.br/pdf/mr/v28/1516-1439-mr-28-e20250388.pdf","is_open_access":true,"published_at":"","score":69},{"id":"ss_5b2c0022ee7f204dfbfa42b9e8431c484f1f9aa1","title":"Research on Temperature Rise Experiment and Temperature Field Simulation of Electrical Penetrations in Nuclear Power Plants","authors":[{"name":"Kuiyuan Fang"},{"name":"G. Jiang"},{"name":"Yinghui An"},{"name":"Changxing Tao"}],"abstract":"This article combines the actual situation of electrical penetrations in a domestic nuclear power plant to complete temperature rise tests on 17 sets of conductor components of electrical penetrations, and conducts research and verification on the conductor heating law and temperature monitoring methods of electrical penetrations; Taking the penetration component as the research object, using Comsol finite element analysis software, a finite element model of three temperature fields of the penetration component is established. Heat sources are loaded at both ends of the conductor component to simulate the transient temperature field and temperature curves at the ends and inside of the penetration component. We need to provide data support for the maximum internal and external temperature during the thermal aging test of penetration components through experiments.","source":"Semantic Scholar","year":2025,"language":"en","subjects":null,"doi":"10.1109/EESPE63401.2025.10987485","url":"https://www.semanticscholar.org/paper/5b2c0022ee7f204dfbfa42b9e8431c484f1f9aa1","is_open_access":true,"published_at":"","score":69},{"id":"ss_a8f5ccac92ff046455798e0eafc5686ab574fbcc","title":"Research on Digital Transformation of Electrical Sytems in Nuclear Chemical Plants","authors":[{"name":"Jingbo Zong"},{"name":"Meng Wang"},{"name":"Yifei Zhang"}],"abstract":"With the rapid development of information technologies such as big data, artificial intelligence, the Internet of Things, and cloud computing, the nuclear industry has embraced a new opportunity for digital transformation. As a critical component of nuclear chemical plants, the digital transformation of electrical systems plays a vital role in enhancing the overall digitalization level of these facilities. This paper thoroughly examines the digital transformation of electrical systems in nuclear chemical plants, covering the entire process from digital design and digital delivery to the construction of digital electrical systems.","source":"Semantic Scholar","year":2025,"language":"en","subjects":null,"doi":"10.1109/ISAEECE66033.2025.11160051","url":"https://www.semanticscholar.org/paper/a8f5ccac92ff046455798e0eafc5686ab574fbcc","is_open_access":true,"published_at":"","score":69},{"id":"ss_e078dbe9beadd24782558302d83d510d0148b0f7","title":"Design and Development of an Electrical Power Generating Bridge using Wind Energy From Moving Vehicles","authors":[{"name":"Prudence Kabwe"}],"abstract":": Electricity and energy are key issues today in Zambia as a developing country. The ultimate function and goal of any electric power supply company anywhere in the world today is to provide a service of supplying reliable and uninterrupted power supply to its consumers at all times. Although, for developing countries like Zambia, the amount of electric power generated is insufficient to meet the demands of the growing consumers of electricity, therefore power outages and instabilities are experienced This project attempts to explain an innovative method of generating clean wind energy from a fast moving vehicle by various courses. The energy generated from this method is produced as the consequences of human activity. Five methods used to produce energy are from renewable wind sources, solar, hydro, coal and nuclear energy. One of the biggest obstacles to the widespread use of wind power generation is that many areas just aren’t that windy. The alternative form of Renewable wind energy produced by trucks is very unique, as it does not depend on any natural energy resource. A moving vehicle like trucks compresses the air in the front of it and pushes the air to its sides thereby creating a vacuum at its rear and its sides as it moves forward. To fill up this vacuum a mass of airflow rushes into the sides and the rear. The kinetic energy of the wind movement thus created pushes the wind turbines and generates electricity. This generated electricity can be further used for various applications","source":"Semantic Scholar","year":2025,"language":"en","subjects":null,"doi":"10.20431/2454-9436.1001002","url":"https://www.semanticscholar.org/paper/e078dbe9beadd24782558302d83d510d0148b0f7","pdf_url":"https://doi.org/10.20431/2454-9436.1001002","is_open_access":true,"published_at":"","score":69},{"id":"ss_6d708c217c1af7d8e8a9a340756d193576730062","title":"Nuclear and Mechanical Science Applications","authors":null,"abstract":"","source":"Semantic Scholar","year":2025,"language":"en","subjects":null,"doi":"10.1109/reepe63962.2025.10970987","url":"https://www.semanticscholar.org/paper/6d708c217c1af7d8e8a9a340756d193576730062","is_open_access":true,"published_at":"","score":69},{"id":"ss_ef82e210dc2020437c421091ef76c365ea65d11b","title":"Machine Learning Driven Insights into Nuclear Shape Transitions And Collectivity In The Transitional 150 Mass Region, A LightGBM Approach","authors":[{"name":"Mudasir Ahmad"},{"name":"Amit Bindra"},{"name":"Pooja Sharma"}],"abstract":"","source":"Semantic Scholar","year":2025,"language":"en","subjects":null,"doi":"10.1109/ECTI-CON64996.2025.11100453","url":"https://www.semanticscholar.org/paper/ef82e210dc2020437c421091ef76c365ea65d11b","is_open_access":true,"published_at":"","score":69},{"id":"ss_988fe7d23df176d07e869fbaa254ed4078e08d5a","title":"Using Digital Acoustic Models to Create a Nuclear Reactor Twin","authors":[{"name":"Konstantin N. Proskuryakov"},{"name":"M. Khvostova"},{"name":"Ragy M. Ismail"}],"abstract":"In this paper the urgent problem of using a digital acoustic model (DAM) to create a digital acoustic model of the reactor twin for VVER (VVER DAMNRT) with VVER-1200 is solved. An approximate analytical method for solving the nonlinear differential equation of motion of the autogenerator is proposed, which provides an adequate description of the wave processes recorded by pressure pulsation sensors (PPS), accelerometers and direct charge sensors (DCS). The results of measurements of the ASW frequencies in the RP with VVER-1200 and the calculation practically coincide. The main result is the experimental proof of the validity of K.N. Proskuryakov's hypothesis on the existence of a previously unknown property of the VVER reactor connected to pipelines to simultaneously generate several ASWs that control neutron-physical, thermal-hydraulic and mechanical noise. It was concluded that VVER-1200 DAMNRT is the only possible model corresponding to the original, having no analogues in acoustics and nuclear fields and is many years ahead of similar developments by ANL and other foreign organizations.","source":"Semantic Scholar","year":2025,"language":"en","subjects":null,"doi":"10.1109/REEPE63962.2025.10970890","url":"https://www.semanticscholar.org/paper/988fe7d23df176d07e869fbaa254ed4078e08d5a","is_open_access":true,"published_at":"","score":69},{"id":"ss_13eaae90e692f5b0c8d069e65a08e703996b8887","title":"The Fundamental Nuclear Plasma Fusion Equation","authors":[{"name":"Wim Vegt"}],"abstract":"Nuclear fusion represents the border area (nuclear plasma) between the material world (infusion of Deuterium) and the energy world (microwave heating). Existing theories to describe these material-energy interactions are far from the required necessary theoretical physics to realize stable nuclear fusion processes inside confinements like the Tokamak. The only possibility to describe these complex interaction processes correctly is to develop a new theory in physics which describes the electro-magnetic gravitational force density interactions (expressed in N/m3 ) (equation 8) with the mechanical force density interactions (expressed in N/m3 ) being presented by the Navier-Stokes equation for compressible nuclear plasmas [41]. The new theory, describing electro-magnetic-gravitational-acceleration force density interactions (expressed in N/m3), has been discussed at astronomical levels: Gravitational RedShift, Black Holes and Dark Matter and at sub-atomic levels: The absorption and emission of light at sub-atomic levels in concentric spheres by an atom at discrete energy levels. Evidence will be demonstrated about the correctness of this new electro-dynamic theory which represents the only theory which connects electro-dynamics in a correct way with plasma-dynamics. In general, the gravitational (acceleration) force densities, originating from rotation and linear accelerations, are being ignored but with nuclear fusion processes these gravitational (acceleration) forces become fundamental and are necessary to develop a stable nuclear fusion process.","source":"Semantic Scholar","year":2025,"language":"en","subjects":null,"doi":"10.33140/jeee.04.06.02","url":"https://www.semanticscholar.org/paper/13eaae90e692f5b0c8d069e65a08e703996b8887","is_open_access":true,"published_at":"","score":69},{"id":"ss_8f0345b00b9c100c6a6e9baab75626155029acf2","title":"Research on the Prediction of the Nuclear Weapons Based on Gray Predictive Model and Regression Model","authors":[{"name":"Dantong Zhang"}],"abstract":"Gray predictive model is a widely used predictive analysis method, which can effectively deal with the situation of less information and incomplete data. Compared with the traditional statistical prediction model, gray prediction model has many advantages. In view of the unique advantages of the gray prediction model, this paper combines it with the regression model to predict the future trend of the number of nuclear weapons in various countries. First, the time series analysis is used to explore the inherent law of the changes in the number of nuclear weapons and to understand the characteristics of their development. After that, the regression model and the gray difference prediction model are used to determine the fitting relationship between time and the number of nuclear weapons. After the significance test of the fitting relationship, the result shows that the P value is 0.000, which reaches the significant level, indicating that the fitting effect of the prediction model is good. This research not only gives full play to the advantages of the gray forecasting model, but also combines it with the traditional regression analysis method to form a novel time series forecasting analysis framework.","source":"Semantic Scholar","year":2025,"language":"en","subjects":null,"doi":"10.1109/EDPEE65754.2025.00077","url":"https://www.semanticscholar.org/paper/8f0345b00b9c100c6a6e9baab75626155029acf2","is_open_access":true,"published_at":"","score":69},{"id":"ss_592a1f3939ee18e8fb26995a832d8650923fa92b","title":"Design and Algorithm Optimization of Nuclear Radiation Monitoring System Based on Wireless Sensor Network","authors":[{"name":"Jian Hou"},{"name":"Xiaoxia Li"},{"name":"K. Cao"},{"name":"Lichao Ma"}],"abstract":"With the wide application of nuclear energy, the importance of nuclear safety monitoring has become increasingly prominent. This paper presents a design of nuclear radiation monitoring system based on wireless sensor network (WSN) and its algorithm optimization scheme. The system consists of three parts: the field acquisition point, the remote data server and the client, which realizes the real-time and distributed monitoring of nuclear radiation level. On-site acquisition points use sensors such as high-sensitivity scintillation counter, and cooperate with STM32F407VGT6 single chip microcomputer for data processing and wireless transmission. The remote data server is responsible for receiving, storing and analyzing data, and provides API interface and data visualization function. The system adopts mesh network topology structure, which enhances the reliability and self-organization of communication. In the aspect of algorithm optimization, this paper puts forward a data fusion and calibration method based on Kalman filter, an adaptive low-power routing algorithm, a clustering structure and a multi-hop communication strategy to improve data accuracy, reduce energy consumption and enhance system stability. Through the hardware platform construction and software development, the system has realized the efficient and flexible nuclear radiation monitoring function. The test results show that the optimized algorithm significantly improves the data transmission efficiency and system stability, and provides strong technical support and practical experience for WSN application in the field of nuclear radiation monitoring.","source":"Semantic Scholar","year":2025,"language":"en","subjects":null,"doi":"10.1109/EDPEE65754.2025.00081","url":"https://www.semanticscholar.org/paper/592a1f3939ee18e8fb26995a832d8650923fa92b","is_open_access":true,"published_at":"","score":69},{"id":"ss_e3a073e0e7f59165963a9e98512aef5e1cd09f82","title":"Fuzzy Bayesian Networks in Energy Engineering and Related Areas","authors":null,"abstract":"The growing search for less polluting sources of electricity generation causes a need for energy system data analysis to improve energy planning, aiming for better decision-making and failure reduction. Therefore, this article presents a literature review investigating the application of an artificial intelligence methodology called Fuzzy Bayesian Networks in energy engineering and related fields. As a result, the analysis of countries publishing in the field revealed that China is the country that most researches on the application of Fuzzy Bayesian Networks, considering general research, and the filter considering the energy sector. Furthermore, in the energy context, Brazil also participates in global research. Various types of applications were also identified in electrical and energy engineering, as well as the use of this methodology for fault detection and, more recently, for decision-making in wind and nuclear systems.","source":"Semantic Scholar","year":2025,"language":"en","subjects":null,"doi":"10.1109/SEPOC67005.2025.11297702","url":"https://www.semanticscholar.org/paper/e3a073e0e7f59165963a9e98512aef5e1cd09f82","is_open_access":true,"published_at":"","score":69},{"id":"arxiv_2501.03569","title":"What Does a Software Engineer Look Like? Exploring Societal Stereotypes in LLMs","authors":[{"name":"Muneera Bano"},{"name":"Hashini Gunatilake"},{"name":"Rashina Hoda"}],"abstract":"Large language models (LLMs) have rapidly gained popularity and are being embedded into professional applications due to their capabilities in generating human-like content. However, unquestioned reliance on their outputs and recommendations can be problematic as LLMs can reinforce societal biases and stereotypes. This study investigates how LLMs, specifically OpenAI's GPT-4 and Microsoft Copilot, can reinforce gender and racial stereotypes within the software engineering (SE) profession through both textual and graphical outputs. We used each LLM to generate 300 profiles, consisting of 100 gender-based and 50 gender-neutral profiles, for a recruitment scenario in SE roles. Recommendations were generated for each profile and evaluated against the job requirements for four distinct SE positions. Each LLM was asked to select the top 5 candidates and subsequently the best candidate for each role. Each LLM was also asked to generate images for the top 5 candidates, providing a dataset for analysing potential biases in both text-based selections and visual representations. Our analysis reveals that both models preferred male and Caucasian profiles, particularly for senior roles, and favoured images featuring traits such as lighter skin tones, slimmer body types, and younger appearances. These findings highlight underlying societal biases influence the outputs of LLMs, contributing to narrow, exclusionary stereotypes that can further limit diversity and perpetuate inequities in the SE field. As LLMs are increasingly adopted within SE research and professional practices, awareness of these biases is crucial to prevent the reinforcement of discriminatory norms and to ensure that AI tools are leveraged to promote an inclusive and equitable engineering culture rather than hinder it.","source":"arXiv","year":2025,"language":"en","subjects":["cs.SE"],"url":"https://arxiv.org/abs/2501.03569","pdf_url":"https://arxiv.org/pdf/2501.03569","is_open_access":true,"published_at":"2025-01-07T06:44:41Z","score":69},{"id":"arxiv_2508.15733","title":"Exploration of Evolving Quantum Key Distribution Network Architecture Using Model-Based Systems Engineering","authors":[{"name":"Hayato Ishida"},{"name":"Amal Elsokary"},{"name":"Maria Aslam"},{"name":"Catherine White"},{"name":"Michael J. de C. Henshaw"},{"name":"Siyuan Ji"}],"abstract":"Realisation of significant advances in capabilities of sensors, computing, timing, and communication enabled by quantum technologies is dependent on engineering highly complex systems that integrate quantum devices into existing classical infrastructure. A systems engineering approach is considered to address the growing need for quantum-secure telecommunications that overcome the threat to encryption caused by maturing quantum computation. This work explores a range of existing and future quantum communication networks, specifically quantum key distribution network proposals, to model and demonstrate the evolution of quantum key distribution network architectures. Leveraging Orthogonal Variability Modelling and Systems Modelling Language as candidate modelling languages, the study creates traceable artefacts to promote modular architectures that are reusable for future studies. We propose a variability-driven framework for managing fast-evolving network architectures with respect to increasing stakeholder expectations. The result contributes to the systematic development of viable quantum key distribution networks and supports the investigation of similar integration challenges relevant to the broader context of quantum systems engineering.","source":"arXiv","year":2025,"language":"en","subjects":["cs.ET","cs.SE","quant-ph"],"doi":"10.1109/ISSE65546.2025.11369979","url":"https://arxiv.org/abs/2508.15733","pdf_url":"https://arxiv.org/pdf/2508.15733","is_open_access":true,"published_at":"2025-08-21T17:21:03Z","score":69},{"id":"crossref_10.1016/j.prime.2024.100616","title":"Corrigendum to “Climate action for the shipping industry: Some perspectives on the role of nuclear power in maritime decarbonization” [e-Prime - Advances in Electrical Engineering, Electronics and Energy, Volume 4 (2023), Article Number 100132]","authors":[{"name":"Rupsha Bhattacharyya"},{"name":"Rami S. El-Emam"},{"name":"Farrukh Khalid"}],"abstract":"","source":"CrossRef","year":2024,"language":"en","subjects":null,"doi":"10.1016/j.prime.2024.100616","url":"https://doi.org/10.1016/j.prime.2024.100616","is_open_access":true,"published_at":"","score":68},{"id":"doaj_10.1109/ACCESS.2024.3400673","title":"RF Performance Benchmark of Nanosheets, Nanowires, FinFETs, and TreeFETs","authors":[{"name":"Hsin-Cheng Lin"},{"name":"Wei-Teng Hsu"},{"name":"Tsai-Yu Chung"},{"name":"He-Wen Shen"},{"name":"Ching-Wang Yao"},{"name":"Tao Chou"},{"name":"Li-Kai Wang"},{"name":"C. W. Liu"}],"abstract":"RF array performance of stacked nanosheets, stacked nanowires, FinFETs, and TreeFETs are optimized using double-sided gate contact, contact over active-gate, and proposed hybrid layouts. For the double-sided gate contact, gate resistance increases with the increasing active region width to decrease the maximum oscillation frequency. The gate vias on the active region of contact over active-gate can reduce gate resistance by providing vertical paths for small-signal gate current. Combining the advantages of double-sided gate contact and contact over active-gate, the hybrid can further reduce the gate resistance to improve the maximum oscillation frequency. FinFETs/TreeFETs with the vertical sections of the channel (fin/interbridge) stop the lateral small-signal gate current path to increase gate resistance and thus decrease the maximum oscillation frequency as compared to nanosheets and nanowires. Nanowires adopting the hybrid layout and gate length of 18nm can achieve the highest maximum oscillation frequency of 590GHz due to the lowest gate resistance, the highest electron concentration, and the best gate control.","source":"DOAJ","year":2024,"language":"","subjects":["Electrical engineering. Electronics. Nuclear engineering"],"doi":"10.1109/ACCESS.2024.3400673","url":"https://ieeexplore.ieee.org/document/10530009/","is_open_access":true,"published_at":"","score":68},{"id":"doaj_10.5152/tepes.2024.22029","title":"Performance Analysis of LLC Resonant and Pulse Width Modulation Direct Current- Direct Current Converters for Buck and Boost Operation","authors":[{"name":"Mohammad Mustafizur Rahman"},{"name":"Rashed Abdullah"},{"name":"Arif Ahammad"},{"name":"Ifte Khairul Amin"}],"abstract":"This paper accentuates the study of LLC resonant converter by a comparative analysis of the properties of LLC resonant and pulse width modulation direct current-direct current converters. Lately, LLC resonant converters have become more appealing and desirable in many applications than other pulse width modulation converters (e.g., Buck, Boost, Cuk) for their soft-switching techniques like zero voltage switching, zero current switching as well as low electromagnetic interference. This paper presents an analysis of efficiency variation, output voltage’s ripple, and various transient performances like percentage overshoot, and the settling time with the variation of load current in a comparative way between LLC resonant converter’s buck, boost operation, and conventional pulse width modulation converter’s buck, boost operation. Feedback proportional-integral-derivative duty cycle controller is used in all converter topologies for some specific analysis. A fixed input voltage of 100 V is selected for simulation and an output voltage of 24 V for buck operation and 120 V for boost operation are chosen. For simulation purposes, MATLAB/SIMULINK software is used.","source":"DOAJ","year":2024,"language":"","subjects":["Electrical engineering. Electronics. Nuclear engineering"],"doi":"10.5152/tepes.2024.22029","url":"https://tepesjournal.org/en/performance-analysis-of-llc-resonant-and-pulse-width-modulation-direct-current-direct-current-converters-for-buck-and-boost-operation-1369","is_open_access":true,"published_at":"","score":68},{"id":"ss_dd313952e8cac3780ce97fd99dbac5e2a4361eeb","title":"A Solution to the Problem of Fresh Water Shortage in Egypt Using Nuclear Desalination","authors":[{"name":"M. M. Saleh"},{"name":"A. A. Abdelrazek"},{"name":"A. Mohammed"},{"name":"E. A. Sokolova"}],"abstract":"In this paper the possibility of integrating seawater desalination plants with VVER-1200 type reactors is studied. The study is based on a techno-economic analysis of various options for this combination using DEEP software and to optimize the results of the economic analysis, a new MATLAB code was developed. Currently, Egypt has begun the construction of El-Dabaa Nuclear Power Plant, the first nuclear power plant in Egypt to be built on the Mediterranean coast. It will consist of four power units with VVER-1200 type reactors. Energy (electrical and thermal) produced at a nuclear power plant can be used for large-scale desalination of sea water. The use of desalination plants is highly relevant for Egypt, which suffers from a lack of fresh water and at the same time has extensive coastal areas covered by sea water.","source":"Semantic Scholar","year":2024,"language":"en","subjects":null,"doi":"10.1109/REEPE60449.2024.10479700","url":"https://www.semanticscholar.org/paper/dd313952e8cac3780ce97fd99dbac5e2a4361eeb","is_open_access":true,"published_at":"","score":68}],"total":8855146,"page":1,"page_size":20,"sources":["CrossRef","DOAJ","Semantic Scholar","arXiv"],"query":"Electrical engineering. Electronics. Nuclear engineering"}