Accurate and fast detection of typical fittings is the prerequisite of condition monitoring and fault diagnosis. At present, most successful fitting detectors are anchor-based, which are challenging to meet the requirements of edge deployment. In this paper, we propose a novel anchor-free method called HRM-CenterNet. Firstly, the lightweight MobileNetV3 is introduced into CenterNet to extract multi-scale features of different layers. In addition, the lightweight receptive field enhancement module is proposed for the deep layer features to further enhance the characterization power of global features and generate more accurate heatmaps. Finally, the high-resolution feature fusion network with iterative aggregation is designed to reduce the loss of spatial semantic information in subsampling and further improve the accuracy of small and occlusion objects. Experiments are carried out on the TFITS and PASCAL VOC datasets. The results show that the size of the network is more than 60% lower than that of CenterNet. Compared with other detectors, our method achieves comparable accuracy with all accurate models at a much faster speed and meets the performance requirements of real-time detection.
Abstract. The purpose of this study is to explore the engineering problem finding ability of high school students of road and bridge engineering. Students were categorized and evaluated qualitatively based on school and gender of respondent. Results indicate that the most consistent predictor of creativity in engineering problem finding scenarios was the number of advanced science classes. The qualitative results showed striking differences in the responses from students. Results show educators need to become more aware of the importance of problem finding in engineering and better encourage the development of problem finding skills among their students.
To improve conference management and realize self-served control by users, this paper proposes a specific design of tablet-based control software on video conference, incorporating demands of video conference systems in State Grid Corporation of China (SGCC). The software has been designed and implemented with studies on the system structure and key technologies as the bedrock. With in-depth analysis on various operations’ frequencies, streamlined interface, and exquisite designs, the software enables users to independently control regular conferences without on-site professional technicians. Moreover, it meets different demands for different scenarios, such as for public conference room and normalized management.
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