Search Results - "Wu, Jiaoyi"
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Surface Morphology Analysis of Laser Shock Peened 20CrMnTi Steel: A Statistical Evaluation
Published in Metals (Basel ) (01-10-2023)“…Surface morphology impacts material performance and durability significantly. To gain a deeper understanding of the impact of laser shock peening (LSP)…”
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Fabrication of flexible nitrogen-doped graphene micro-supercapacitors by laser-induced self-made precursors
Published in Carbon Letters (01-07-2024)“…With the wide application of portable wearable devices, a variety of electronic energy storage devices, including micro-supercapacitors (MSCs), have attracted…”
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A self-powered and self-sensing knee negative energy harvester
Published in iScience (15-03-2024)“…Wearable devices realize health monitoring, information transmission, etc. In this study, the human-friendliness, adaptability, reliability, and economy (HARE)…”
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Intelligent Identification of Wear Mechanism via On-line Ferrograph Images
Published in Chinese journal of mechanical engineering (01-03-2014)“…Condition based maintenance(CBM) issues a new challenge of real-time monitoring for machine health maintenance. Wear state monitoring becomes the bottle-neck…”
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A Self‐Sensing and Self‐Powered Wearable System Based on Multi‐Source Human Motion Energy Harvesting
Published in Small (Weinheim an der Bergstrasse, Germany) (01-07-2024)“…Wearable devices play an indispensable role in modern life, and the human body contains multiple wasted energies available for wearable devices. This study…”
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The nexus of intelligent transportation: A lightweight Bi-input fusion detection model for autonomous-rail rapid transit
Published in Engineering applications of artificial intelligence (01-01-2025)“…Autonomous-rail Rapid Transit (ART) possesses various advantages in intelligent transportation, but it does not effectively recognize road conditions caused…”
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Driver vigilance detection for high-speed rail using fusion of multiple physiological signals and deep learning
Published in Applied soft computing (01-07-2022)“…With the popularity of high-speed rail in China and with faster operation speeds, the safety of railways has also received more attention. This paper proposes…”
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A self-powered and self-sensing driver behavior detection system for smart transportation
Published in Nano energy (01-04-2024)“…With the increasing significance of smart transportation in China, there is a growing interest in the urbanization process to ensure its safe operation. This…”
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Tribological investigations of boride layers on Ti6Al4V at room and elevated temperatures
Published in Industrial lubrication and tribology (28-07-2023)“…Purpose This paper aims to improve the wear resistance of titanium alloy using a high-hardness boride layer, which was fabricated on Ti6Al4V by a…”
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Accuracy-improved ultrasonic phase algorithm for measuring lubricant film thickness
Published in International journal of mechanical sciences (15-04-2024)“…•The effect of first reflected wave is ignored.•Phase of Remaining reflection coefficient has higher sensitivity.•The proposed algorithm has stronger…”
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Multisensor information integration for online wear condition monitoring of diesel engines
Published in Tribology international (01-02-2015)“…A diesel engine bench test was performed, and the online visual ferrograph (OLVF) and performance monitoring sensors were used to evaluate engine wear. The…”
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A self-powered smart wave energy converter for sustainable sea
Published in Mechanical systems and signal processing (01-11-2024)“…•A self-powered smart point-absorber wave energy converter is designed.•The kinematic and dynamic models of the system with the flywheel are established.•The…”
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Wear Condition Monitoring and Working Pattern Recognition of Piston Rings and Cylinder Liners Using On-Line Visual Ferrograph
Published in Tribology transactions (04-07-2014)“…This study applies stepped loading and stepped velocity approaches to simulate the actual working conditions of gasoline engines. Accelerated wear tests were…”
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14
Analysis of Text Emotion Based on Logistic Regression Model
Published in 2022 IEEE 5th International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) (18-11-2022)“…In recent years, text clustering technology, as an unsupervised learning method in the field of machine learning, has become one of the most concerned…”
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