Yu Ming Shen

Shape Prior-Guided Coarse-to-Fine Extraction of Overhead Transmission Line Towers from UAV LiDAR Point Clouds

Chaoliu Tong, Yu Ming Shen, Kanjian Zhang, Haikun Wei

Accurate extraction of transmission towers from Unmanned Aerial Vehicle (UAV) Light Detection and Ranging (LiDAR) point clouds is a prerequisite for overhead transmission line (OTL) acceptance. This task remains challenging because tower points are heavily entangled with ground, vegetation, conductors, and insulators, …

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A novel tree-based ensemble machine learning framework for key components segmentation of overhead transmission lines using scene prior knowledge and Shapley additive explanations

Chaoliu Tong, Yu Ming Shen, Yiming Liu, Ronglin Du et autres

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A Sensitivity-Inspired Parameter Identification Method for the Single-Diode Model of Photovoltaic Modules

Yu Ming Shen, Xiaojue Xue, Xin Chen, Chaoliu Tong et autres

Parametrization of photovoltaic (PV) modules makes an important foundation for monitoring and fault diagnosis. This work focus on the sensitivity of parameters for the single-diode model (SDM), which fills the gap in existing research. The sensitivity analysis in this work provides a …

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Tinnitus severity is related to changes in functional connectivity between precuneus and inferior temporal gyrus

Yu Chen, Caihong Fang, Jiapei Xie, Jinyi Zheng et autres

OBJECTIVE: Previous studies have reported that symptoms of tinnitus are associated with changes in brain functional connectivity (FC). Most prior work has focused on static functional connectivity (SFC), while only a few investigations have examined dynamic functional connectivity (DFC). The goal of …

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Rapid antimicrobial susceptibility testing (AST) based on in-situ time-lapse imaging of microcolonies

Siyu Meng, Yuhong Xu, Jingkai Wang, Zhiwei Zhang et autres

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Deciphering Blood-Brain Barrier Integrity in Parkinson’s Disease: A VEXI MRI Investigation

Yu Ming Shen, Yan Bai, Zhaoqing Li, Yifan Zhang et autres

Motivation: Blood-brain barrier (BBB) disruption has been observed in Parkinson's disease (PD) pathology and is considered to contribute to disease progression. However, current imaging techniques for assessing BBB integrity, such as PET and DCE, rely on contrast agents, limiting their clinical utility. …

Abnormal Multilayer Brain Network in Early-Stage Akinetic-Rigid Parkinson’s Disease

Yu Ming Shen, Yao Ge, Xinhui Wang, Yan Bai et autres

Motivation: This study uses multilayer neural network techniques to explore brain network abnormalities in early-stage Akinetic-Rigid Parkinson's Disease (AR-PD). Goal(s): AR-PD patients exhibit rapid clinical progression, necessitating early detection of abnormal brain network activity. Approach: To investigate the relationship between dynamic brain …

Modeling output characteristics of partially shaded photovoltaic modules: Incorporating transmittance for improved accuracy

Zewen Hu, Yu Ming Shen, Zengxiang He, Hongcai Chen et autres

Accurate modeling of photovoltaic (PV) modules under partial shading is essential for reliable performance prediction and system optimization, yet existing approaches often fail to capture the impact of shading materials with varying transmittance. To address this limitation, we propose a novel modeling …

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Brain functional network abnormalities in Parkinson’s disease patients at different disease stages

Wei Wei, Xinhui Wang, Chao Han, Yu Ming Shen et autres

Background: Parkinson's disease (PD) is a neurodegenerative disorder with some progressive impairment and an unclear pathogenesis. Purpose: This study aimed to use resting-state functional magnetic resonance imaging (rs-fMRI) and graph analysis approaches to compare changes in brain functional network topology in PD …

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OTTB-IQA: A No-Reference Quality Assessment Method for Overhead Transmission Tower Bolt Images

Yu Wei, Chaoliu Tong, Yu Ming Shen, Kanjian Zhang et autres

Regular inspection of the safety of the bolt components on overhead transmission towers is fundamental to ensuring the safe and stable operation of power systems. However, during unmanned aerial vehicle (UAV) inspection, factors such as posture changes and lens defocus often lead …

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Identification and Anomaly Diagnosis of Resistance in Photovoltaic Systems Via the Single-Diode Model

Xinyi Chen, Yu Ming Shen, Kanjian Zhang, Haikun Wei

The rapid growth of the photovoltaic industry requires an accurate diagnosis of faults in PV modules, particularly for impedance anomalies that affect the reliability of the system. This paper proposes an adaptive weighted framework based on the single-diode model, integrating resistance identification …

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Contrast enhancement-based no-reference image quality assessment method

Zongyuan Ge, Yu Ming Shen, Chaoliu Tong, Haikun Wei et autres

No-Reference Image Quality Assessment (NR-IQA) aims to evaluate image quality without relying on a reference image. However, in current NR-IQA research, few methods assess image quality based on contrast. This paper proposes a simple yet effective NR-IQA method, leveraging the principle that …