• Journal of the Korean Geotechnical Society
• /
• v.40 no.3
• /
• pp.33-39
• /
• 2024

Inspecting cracks to determine a structure's condition is crucial for accurate safety diagnosis. However, visual crack inspection methods can be subjective and are dependent on field conditions, thereby resulting in low reliability. To address this issue, this study automates the detection of concrete cracks in image data using ResNet, FPN, and the Mask R-CNN components as the backbone, neck, and head of a convolutional neural network. The performance of the proposed model is analyzed using the intersection over the union (IoU). The experimental dataset contained 1,203 images divided into training (70%), validation (20%), and testing (10%) sets. The model achieved an IoU value of 95.83% for testing, and there were no cases where the crack was not detected. These findings demonstrate that the proposed model realized highly accurate detection of concrete cracks in image data.

• Journal of the Korean Society of Child Welfare
• /
• no.56
• /
• pp.253-281
• /
• 2016

The purpose of this study was to verify the clinical utility of th Korea Child Behavior Checklist 16-18(K-CBCL 6-18) in diagnosing ADHD among children with psychological disorders in child welfare institutions. The participants were 509 elementary school children(309 boys and 200 girls) who lived in child welfare institutions. They were assessed using the Korean ADHD Rating Scale(K-ARS) and K-CBCL 6-18. Only five scales of the K-CBCL 6-18 related with attention were used for analysis: syndrom total, externalizing total, aggressive behavior, attention problems and DSM-oriented ADHD scales. The results were as follows. First, K-ARS and K-CBCL 6-18 had significantly positive correlations with all five scales. Second, as a result of a t-test on the ADHD and the non-ADHD groups, which were divided using K-ARS, the mean scores of ADHD group were significantly higher than the non-ADHD group for all five scales of the K-CBCL 6-18. The hit rate of all five scales of the K-CBCL 6-18 was 60 to 70 percent. The syndrom total and externalizing total scales had high sensitivity, whereas the aggressive behavior, attention problems, and the DSM-oriented ADHD scales had high specificity. In addition, all scales had high positive predictive values. Third, as the result of a t-test on the ADHD group and the emotional disorder group, there were significant difference in the mean scores of the attention problems and the DSM-oriented ADHD scales. The attention problems and the DSM-oriented ADHD scales had a similar percentage of hit rate, high specificity and low sensitivity. Especially, the DSM-oriented ADHD scale revealed higher specificity than the attention problems scale. The results of this study suggested that the five scales related to attention of the K-CBCL 6-18 are useful in diagnosing ADHD in child welfare institutions.

• KIPS Transactions on Software and Data Engineering
• /
• v.11 no.6
• /
• pp.255-266
• /
• 2022

The quality control of coarse aggregate among aggregates, which are the main ingredients of concrete, is currently carried out by SPC(Statistical Process Control) method through sampling. We construct a smart factory for manufacturing innovation by changing the quality control of coarse aggregates to inspect the coarse aggregates based on this image by acquired images through the camera instead of the current sieve analysis. First, obtained images were preprocessed, and HED(Hollistically-nested Edge Detection) which is the filter learned by deep learning segment each object. After analyzing each aggregate by image processing the segmentation result, fineness modulus and the aggregate shape rate are determined by analyzing result. The quality of aggregate obtained through the video was examined by calculate fineness modulus and aggregate shape rate and the accuracy of the algorithm was more than 90% accurate compared to that of aggregates through the sieve analysis. Furthermore, the aggregate shape rate could not be examined by conventional methods, but the content of this paper also allowed the measurement of the aggregate shape rate. For the aggregate shape rate, it was verified with the length of models, which showed a difference of ±4.5%. In the case of measuring the length of the aggregate, the algorithm result and actual length of the aggregate showed a ±6% difference. Analyzing the actual three-dimensional data in a two-dimensional video made a difference from the actual data, which requires further research.

• Journal of the Korea institute for structural maintenance and inspection
• /
• v.27 no.6
• /
• pp.30-38
• /
• 2023

As the number of old buildings subject to safety inspection increases, the burden on designated institutions and management entities that are responsible for safety management is increasing. Accordingly, when selecting buildings subject to safety inspection, appropriate safety inspection standards and appropriate technology are essential. The current safety inspection standards for old buildings give low scores when it is difficult to confirm damage such as cracks in structural members due to finishing materials. This causes the evaluation results to be underestimated regardless of the actual safety status of the structure, resulting in an increase in the number of aging buildings subject to safety inspection. Accordingly, this study proposed a thermal imaging technique, a non-destructive and non-contact inspection, to detect cracks inside finishing materials. A concrete specimen was produced to observe cracks inside the finishing material using a thermal imaging camera, and thermal image data was measured by exciting a heat source on the concrete surface and cracked area. As a result of the measurement, it was confirmed that it was possible to observe cracks inside the finishing material with a width of 0.3mm, 0.5mm, and 0.7mm, but it was difficult to determine the cracks due to uneven temperature distribution due to surface peeling and peeling of the wallpaper. Accordingly, as a result of performing data analysis by deriving the amplitude and phase difference of the thermal image data, clear crack measurement was possible for 0.5mm and 0.7mm cracks. Based on this study, we hope to increase the efficiency of field application and analysis through the development of technology using big data-based deep learning in the diagnosis of internal crack damage in finishing materials.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.11 no.10
• /
• pp.1992-1998
• /
• 2007

It is important to obtain conn cytodiagnosis to classify background, cytoplasm, and nucleus from the diagnostic image. This study mose an algorithm that detects and classifies carcinoma cells of the uterine cervix in Pap smear using features of cervical cancer. It applies Median filter and Gaussian filter to get noise-removed nucleus area and also applies Kapur method in binarization of the resultant image. We apply 8-directional contour tracking algorithm and stretching technique to identify and revise clustered cells that often hinder to obtain correct analysis. The resulted nucleus area has distinguishable features such as cell size, integration rate, and directional coefficient from normal cells so that we can detect and classify carcinoma cells successfully. The experiment results show that the performance of the algorithm is competitive with human expert.

• Journal of Digital Convergence
• /
• v.19 no.6
• /
• pp.11-21
• /
• 2021

The aim of this study is to examine the effectiveness of learning by running an extracurricular program to make effective learning of unfamiliar and difficult programming education possible for students in the humanities. Analysis of learning-related data for one semester of lectures that were collected from 70 humanities students in departments A and B, data collected from a creative convergence app development contest extracurricular program, and data obtained through a questionnaire show that extracurricular program activities affect academic performance. The results of the core competency diagnosis test for students that was conducted before and after participating in the curriculum showed that core competencies improved for both A and B departments after participating in the curriculum. This study shows that extracurricular program activities can help individuals improve their abilities, while also providing customized guidance to reclusive students to improve their academic performance. By carrying out customized coaching for each department to develop apps related to the major field rather than general apps, we hope for improvements in ability to solve problems by converging with the major field, computational thinking, and creative thinking, in the future.

• Journal of Korea Entertainment Industry Association
• /
• v.13 no.6
• /
• pp.319-328
• /
• 2019

One of the most important things for hospital managements is understanding the patients' needs. The aim of this study is to analyse the priorities of the factors influencing patients' choice for hospital with analytic hierarchy process (AHP), which can derive the relative importances of factors. With understanding the factors that influencing patients' choice for hospital, the proper methods to improve hospital reputation and health care quality could be determined. Among 12 factors, speciality of hospital, number of departments, staff kindness, doctor-patient communication, and patients' visit time were relatively more important and higher priority. Whereas, public transport accessibilities, hospital equipments, and parking lots were relatively less important and lower priority. These results could be used to improve hospital reputation and health care quality effectively. Therefore, the hospitals in Gwangju should consider the factors that influencing patients' choice and improve policies for hospital marketing strategies for better hospital reputations and health care quality.

• Anxiety and mood
• /
• v.19 no.2
• /
• pp.69-76
• /
• 2023

Objective : This study aimed to find out whether the Minnesota Multiphasic Personality Inventory-2-Restructured Form (MMPI-2-RF) scales are useful in distinguishing social anxiety disorder, panic disorder, and major depressive disorder. Methods : The study sample included 118 patients: 33 with social anxiety disorder, 53 with major depressive disorder, and 32 with panic disorder. Participants were classified according to the diagnosis indicated on their medical records. MMPI-2-RF scores were derived from MMPI-2 protocols. Results : The results of multivariate analysis of variance showed that the elevated scales were consistent with the diagnostic and clinical characteristics of each diafnostic group. Logistic regression analyses identified several scales that were useful in differentiating the diagnostic groups. The higher Cognitive Complaints (COG) scale significantly differentiated major depressive disorder from the other groups. The higher Self-Doubt (SFD) scale and Somatic Complaints (RC1) scale were useful in differentiating social anxiety disorder and panic disorder respectively. The lower Cynicism (RC3) scale was also useful in differentiating social anxiety disorder. Other scales that were useful in distinguishing between pairs of groups were also identified. Conclusion : The results of this study suggest that the MMPI-2-RF scales can be useful for discriminating anxiety disorders.

• 대한공업교육학회지
• /
• v.41 no.2
• /
• pp.151-171
• /
• 2016

The purpose of this study is to verify the effect of Interdisciplinary course for improving the competency of collegiate Interpersonal & Cooperative Skills, Resources-Information-Technology Processing & Application and Communication. The course proved to be effective based on the result for examination of difference between the experimental group of 43 students who took the interdisciplinary course and the control group of 44 students who did not take that course of the second semester of H university in 2015. The study applied the method of Paired-sample T-Test to investigate the difference of Interpersonal & Cooperative Skills, Resources-Information-Technology Processing & Application and Communication and their sub-skills between the two participant groups. As a result, Interdisciplinary course had an effect on improvement of Interpersonal & Cooperative Skills and it's sub skills; however, it had no effect on improvement of Resources-Information-Technology Processing & Application and Communication competency and their sub-skills. The results provide theoretical and practical implications for the interdisciplinary course and core competence of college students. They suggest that interdisciplinary course design should be more careful to improve students' competency on Resources-Information-Technology Processing & Application and Communication competency than before.

• Journal of the Korea institute for structural maintenance and inspection
• /
• v.26 no.3
• /
• pp.11-20
• /
• 2022

The main purpose of this study is to investigate the applicability of the shear wave tomography technology as a non-destructive testing method to evaluate the debonding between the track concrete layer (TCL) and the hydraulically stabilized based course (HSB) of concrete slab tracks for the Korea high-speed railway system. A commercially available multi-channel shear wave measurement device (MIRA) is used to evaluate debonding defects in full-scaled mock-up test specimen that was designed and constructed according to the Rheda 200 system. A part of the mock-up specimen includes two artificial debonding defects with a length and a width of 400mm and thicknesses of 5mm and 10mm, respectively. The tomography images obtained by a MIRA on the surface of the concrete specimens are effective for visualizing the debonding defects in concrete. In this study, a simple image processing method is proposed to suppress the noisy signals reflected from the embedded items (reinforcing steel, precast sleeper, insert, etc.) in TCL, which significantly improves the readability of debonding defects in shear wave tomography images. Results show that debonding maps constructed in this study are effective for visualizing the spatial distribution and the depths of the debondiing defects in the railway concrete slab specimen.