Abstract: To ensure coherent signal processing across distributed Access Points (APs) in Cell-Free Massive Multiple-Input Multiple-Output (CF-mMIMO) systems, a fronthaul connection between the APs and ...
Abstract: This research presents an innovative FPGA implementation of a $128 \times 128$ convolution systolic array architecture, optimized for image processing applications. The core of this design ...
Abstract: In electronic assembly processes, poor soldering of IC components (QFP/SOP) is often caused by component quality issues. Traditionally, lead coplanarity defects of components are detected ...
Abstract: The rapid increment of the memory density leads to an increment of fault occurrence in memory cells. To improve the memory yield, effective memory test and repair methodologies for automatic ...
Abstract: Parallel interleaved three-level (3L) inverters (PITIs) fed flywheel energy storage systems (FESSs) enable efficient energy conversion for high-power applications. However, PITIs suffer from ...
NeuroBand is a specialized smart safety armband engineered to provide timely assistance to elderly and high-risk individuals during emergencies. Its primary goal is to mitigate the risks associated ...
Abstract: Multi-Layer Perceptron (MLP) models are the foundation of contemporary point cloud processing. However, their complex network architectures obscure the source of their strength and limit the ...
Abstract: Photovoltaic (PV) systems are frequently subject to voltage and current mismatches caused by various factors such as partial shading, differing panel tilt angles, dust accumulation, and cell ...
Abstract: Floating-point (FP) multipliers are critical components in high-performance computing systems, particularly in signal processing, graphics, and machine learning applications. However, ...
Abstract: In this article, we extend the CUDAMPILIB framework, which facilitates the programming of parallel applications for multi-node systems with one or more graphical processing units (GPUs) per ...
Abstract: The Multiply and Accumulator (MAC) in Convolution Neural Network (CNN) for image applications demands an efficient matrix multiplier. This study presents an area- and power-efficient ...
Abstract: This paper proposes a fault tolerant differential power processing (DPP) scheme for parallel-connection photovoltaic (PV) modules. The proposed DPP utilizes two switches to achieve voltage ...