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Modeling of Measuring Transducers for Relay Protection Systems of Electrical Installations.
Sensors (Basel)
January 2025
Department of Economics and Management, Russian University of Cooperation, 420034 Kazan, Russia.
The process of establishing relay protection and automation (RPA) settings for electric power systems (EPSs) entails complex calculations of operating modes. Traditionally, these calculations are based on symmetrical components, which require the building of equivalent circuits of various sequences. This approach can lead to errors both when identifying the operating modes and when modeling the RPA devices.
View Article and Find Full Text PDFResearch on the Sensitivity Enhancement Method of Inductive Conductivity Sensors Based on Impedance Matching.
Sensors (Basel)
January 2025
College of Electrical and Information Engineering, Hunan University, Changsha 410082, China.
This paper presents the design and performance evaluation of an inductive conductivity sensor with a double tuning impedance matching network to enhance sensitivity and improve linearity. The sensor's equivalent circuit model is analyzed and verified through simulation, and impedance matching is shown to significantly increase the sensor's output signal, particularly at low conductivity measurements. Double tuning impedance matching expands the frequency response range and optimizes power transfer efficiency, achieving a higher power factor across a broader frequency range.
View Article and Find Full Text PDFSparse Convolution FPGA Accelerator Based on Multi-Bank Hash Selection.
Micromachines (Basel)
December 2024
Institute of Information Science, Beijing Jiaotong University, Beijing 100044, China.
Reconfigurable processor-based acceleration of deep convolutional neural network (DCNN) algorithms has emerged as a widely adopted technique, with particular attention on sparse neural network acceleration as an active research area. However, many computing devices that claim high computational power still struggle to execute neural network algorithms with optimal efficiency, low latency, and minimal power consumption. Consequently, there remains significant potential for further exploration into improving the efficiency, latency, and power consumption of neural network accelerators across diverse computational scenarios.
View Article and Find Full Text PDFAn ultra-wideband thin metamaterial linear cross-polarization conversion.
Sci Rep
January 2025
Electrical Engineering Department, Tarbiat Modares University, Tehran, Iran.
This article presents the design of a novel ultra-wideband, thin metamaterial linear cross-polarization converter (CPC) operating at microwave frequencies. The CPC consists of two concentric deformed rings on a dielectric substrate backed by a metallic surface. It demonstrates co-polarization and cross-polarization reflection coefficients below - 11 and above - 1.
View Article and Find Full Text PDFEntropies in Electric Circuits.
Entropy (Basel)
January 2025
Electronics Engineering Department (DEEL), Energy, Power and Integrated Circuits (EPIC), Escola d'Enginyeria de Barcelona Est (EEBE), Universitat Politècnica de Catalunya-BarcelonaTech (UPC), Av. d'Eduard Maristany, 16 Edifici A Campus Besòs, 08029 Barcelona, Spain.
The present study examines the relationship between thermal and configurational entropy in two resistors in parallel and in series. The objective is to introduce entropy in electric circuit analysis by considering the impact of system geometry on energy conversion in the circuit. Thermal entropy is derived from thermodynamics, whereas configurational entropy is derived from network modelling.
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