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  • Open Access

    ARTICLE

    DSC-RTDETR: An Improved RTDETR Based Crack Detection on Concrete Surface

    Yan Zhou, Hengyang Wu*

    Journal on Artificial Intelligence, Vol.7, pp. 381-396, 2025, DOI:10.32604/jai.2025.071674 - 20 October 2025

    Abstract Crack Detection is crucial for ensuring the safety and durability of buildings. With the advancement of deep learning, crack detection has increasingly adopted convolutional neural network (CNN)-based approaches, achieving remarkable progress. However, current deep learning methods frequently encounter issues such as high computational complexity, inadequate real-time performance, and low accuracy. This paper proposes a novel model to improve the performance of concrete crack detection. Firstly, the You Only Look Once (YOLOv11) backbone replaces the original Real-Time Detection Transformer (RTDETR) backbone, reducing computational complexity and model size. Additionally, the Dynamic Snake Convolution (DSConv) has been introduced More >

  • Open Access

    ARTICLE

    Design of a Multichannel Dynamic Temperature Measurement System for Developing Thermal Management System of New Energy Vehicles

    Wei Li1, Shusheng Xiong2,*, Xiaojun Zhou1, Wei Shi3

    Energy Engineering, Vol.117, No.5, pp. 301-314, 2020, DOI:10.32604/EE.2020.011506 - 07 September 2020

    Abstract A multichannel temperature measurement system based on LabVIEW and modular instruments with general purpose input/output interface is described. External simple electronic components, such as analog switches arrays, sampling resistors and voltage reference are used to expand the analog input channel of the instrument. The interface circuit for 3-wire resistance temperature device powered by the voltage reference was designed and constructed. The feasibility of filtering algorithm based on moving average filter and the data conversion method by direct computation of the polynomial are verified in LabVIEW. A comparison test with the commercial temperature measurement instrument is… More >

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