Design and Analysis of On-Chip Reconfigurable SCVR With Wide Output Voltage Range for SoCs by Sunita Saini, Davinder Singh Saini, Vipin Balyan

“…The proposed converter has a maximum load current of 625 mA and a peak efficiency of 81.09%. …”
Get full text

Advanced Deep Learning Algorithms for Energy Optimization of Smart Cities by Izabela Rojek, Dariusz Mikołajewski, Krzysztof Galas, Adrianna Piszcz

“…Advanced deep learning algorithms play a key role in optimizing energy usage in smart cities, leveraging massive datasets to increase efficiency and sustainability. These algorithms analyze real-time data from sensors and IoT devices to predict energy demand, enabling dynamic load balancing and reducing waste. …”
Get full text

Modeling and Simulation of Autonomous DC Microgrid with Variable Droop Controller by Rekha P. Nair, Kanakasabapathy Ponnusamy

“…The emergence of highly efficient and cost-effective power converters, coupled with the growing diversity of DC loads, has elevated the importance of DC microgrids to a level comparable with AC microgrids in the modern power industry. …”
Get full text

Energy Management of a 1 MW Photovoltaic Power-to-Electricity and Power-to-Gas for Green Hydrogen Storage Station by Dalila Hidouri, Ines Ben Omrane, Kassmi Khalil, Adnen Cherif

“…Dynamic performance assessments were conducted under different conditions of solar radiation, temperature, and load, demonstrating the system’s adaptability. …”
Get full text

A Cooperative Control Method between OLTC and Thyristors for High Power Industrial Rectifier System by LIU Wenye, LUO Longfu, ZHANG Zhiwen, HUANG Zhao, ZHANG Xiaofeng

“…In order to realize cooperative control between OLTC and thyristors, a decouple control model was established, and then a cooperative hybrid control algorithm, combining expert arbitration strategy and fuzzy adaptive control, was designed. In addition, a time-shared control was implemented during dynamic adjustment of the system to guarantee adjustment efficiency and power quality. …”
Get full text

Vehicle Safety Enhancement System: Sensing and Communication by Huihuan Qian, Yongquan Chen, Yuandong Sun, Niansheng Liu, Ning Ding, Yangsheng Xu, Guoqing Xu, Yunjian Tang, Jingyu Yan

“…Wireless networks constructed by vehicles and infrastructures provide abundant information to share for the sake of both enhanced safety and network efficiency. …”
Get full text

PSO-ANFIS-Based Energy Management in Hybrid AC/DC Microgrid along with Plugin Electric Vehicle by V. Ashokkumar, C. B. Venkatramanan

“…With the existing control, which faced challenges such as instability and complexity, the proposed approach is aimed at simplifying control through PSO, efficient power sharing, and reduced sample requirements. …”
Get full text

Adaptive Task Scheduling in Fog Computing Using Federated DQN and K-Means Clustering by Prashanth Choppara, S. Sudheer Mangalampalli

“…The dynamic and heterogeneous of fog computing challenges such as balancing performance with variable task loads, resource constraints, and energy efficiency. …”
Get full text

LSCD-Pose: A Feature Point Detection Model for Collaborative Perception in Airports by Ruifeng Meng, Jinlei Wang, Yuanhao Huang, Zhaofeng Xue, Yihao Hu, Biao Li

“…Finally, this study proposes LSCD-Pose, a real-time detection network enhanced by lightweight shared modules, significantly reducing model size and computational load without sacrificing accuracy. …”
Get full text

Art of Engineering Inspired by Nature by saeed mashayekh faridani

“…Among many distinctive characteristics of nature there are: nature’s vivacity and evolutionary character, layered structuring and amazing load carrying system, renewability and revival and diverse complex forms and geometry. …”
Get full text

Self-Diagnostic Advanced Metering Infrastructure Based on Power-Line Communication: A Study Case in Spanish Low-Voltage Distribution Networks by Matías Ariel Kippke Salomón, José Manuel Carou Álvarez, Lucía Suárez Ramón, Pablo Arboleya

“…The findings demonstrate that a well-integrated advanced metering infrastructure system significantly improves distribution network efficiency, enabling proactive congestion detection and advanced load management techniques. …”
Get full text

Improved Sliding Mode Active Disturbance Rejection Control for Single-inductance Dual-output Buck Converter by HUANG Jinfeng, ZHOU Jie

“…ObjectiveThe single-inductance dual-output (SIDO) converter has gained increasing attention due to its reduced magnetic component count, compact size, low cost, and high efficiency. However, because both output branches share a single inductor, significant cross-coupling arises during input voltage transients and load disturbances, degrading output voltage performance. …”
Get full text

Part I: Development and Implementation of the Ten, Five, Three (TFT) Model for Resistance Training by Quincy R. Johnson

“…For instance, a published model known as the strength–endurance continuum that enhances dynamic correspondence (i.e., training specificity) in athletic populations by developing structural, metabolic, and neural capacities across a high-load, low-repetition and low-load, high-repetition range. …”
Get full text

A Unified Optimization Framework for Cost-Effective and Voltage-Stable Operation of Renewable Energy-Based Microgrids Using Mixed-Integer Nonlinear Programming by Peter Anuoluwapo Gbadega, Yanxia Sun, Olufunke Abolaji Balogun

“…Results reveal that Bus 1 consistently provides the largest share of power, supplying approximately 45% of the total demand due to its cost-efficient combination of renewable energy and CHP units. …”
Get full text

Optimization of Structures and Composite Materials: A Brief Review by André Ferreira Costa Vieira, Marcos Rogério Tavares Filho, João Paulo Eguea, Marcelo Leite Ribeiro

“…Neural networks (NNs) have revolutionized various fields, including aeronautics where it is applied in computational fluid dynamics, finite element analysis, load prediction, and structural optimization. …”
Get full text

Modelling the impact of non-pharmaceutical interventions on workplace transmission of SARS-CoV-2 in the home-delivery sector. by Carl A Whitfield, Martie van Tongeren, Yang Han, Hua Wei, Sarah Daniels, Martyn Regan, David W Denning, Arpana Verma, Lorenzo Pellis, Ian Hall, with the University of Manchester COVID-19 Modelling Group

“…Individuals in the model have different viral load trajectories based on SARS-CoV-2 in-host dynamics, which couple to their infectiousness and test positive probability over time, in order to determine the impact of testing and isolation measures.…”
Get full text