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Ssengers’ behavioral mapping, was obtained by observation. The second portion, the
Ssengers’ behavioral mapping, was obtained by observation. The second part, the result of visibility analysis, was compiled by the authors by using the open-source computer software depthMapX. Conflicts of Interest: The authors declare no conflict of interest.
ArticleDetection and Identification of Expansion Joint Gap of Road bridges by Machine Finding out Employing Line-Scan Camera ImagesIn Bae Kim 1,2 , Jun Sang Cho 2 , Goang Seup Zi 1, , Beom Seok Cho 3 , Seon Min Lee 3 and Hyoung Uk Kim2School of Civil, Environmental and Architectural Engineering, Korea University, 145 Anam-ro, Seongbukgu, Seoul 02841, Korea; [email protected] R D Division, Korea Expressway Corporation, Hwaseong 18489, Korea; [email protected] AI Research Division, CNSI, Seoul 05262, Korea; [email protected] (B.S.C.); [email protected] (S.M.L.); [email protected] (H.U.K.) Correspondence: [email protected]; Tel.: +82-2-3290-Citation: Kim, I.B.; Cho, J.S.; Zi, G.S.; Cho, B.S.; Lee, S.M.; Kim, H.U. Detection and Identification of Expansion Joint Gap of Road Bridges by Machine Mastering Working with Line-Scan Camera Photos. Appl. Syst. Innov. 2021, 4, 94. https://doi.org/ ten.3390/asi4040094 Academic Editor: Lu Bragan Received: 18 October 2021 Accepted: 16 November 2021 Published: 18 NovemberAbstract: Not too long ago, the lack of expansion joint gaps on highway bridges in Korea has been increasing. In particular, with the raise within the number of days throughout the summer heatwave, the narrowing from the expansion joint gap causes symptoms which include expansion joint damage and pavement blow-up, which threaten traffic safety and structural safety. As a result, in this study, we developed a machine vision (M/V)-technique-based inspection technique that could monitor the expansion joint gap through image evaluation though driving at high speed (one hundred km/h), replacing the current manual system that makes use of an inspector to inspect the expansion joint gap. To fix the error elements of image analysis that happened throughout the trial application, a machine studying system was used to enhance the accuracy of measuring the gap amongst the expansion joint device. Consequently, the expansion gap identification accuracy was Safranin Protocol enhanced by 27.five , from 67.5 to 95.0 , along with the use with the technique reduces the survey time by more than 95 , from an typical of around 1 h/bridge (current manual inspection technique) to around three min/bridge. We assume, SB 271046 Description inside the future, upkeep practitioners can contribute to preventive maintenance that prepares countermeasures prior to difficulties happen. Keywords and phrases: bridge; expansion joint; joint gap; smart bridge maintenance equipment; sensor; structural overall health monitoring; line-scan camera; machine vision; machine learning1. Introduction The Korea Expressway Corporation is an institution that builds and maintains expressways in Korea, and the number of highway bridges in use reached about 9800 as of 2020. Lately, the number of narrow expansion joint gap occurrences has been growing. It enhanced the most in 2018, when the amount of days of summer time heat waves was the greatest (see Figure 1, Table 1). If such a lack of expansion joint gap occurs, it may adversely have an effect on the structural behavior from the bridge and can be a significant threat to website traffic safety [1]. Thinking about the characteristics of your climate of Korea, which has four distinct seasons, we are able to see that the value of maintenance and the function of the bridge expansion joint responding to temperature changes amongst the cold and hot seasons is growing really hig.

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Author: haoyuan2014