• KIPS Transactions on Software and Data Engineering
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• v.11 no.6
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• pp.255-266
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• 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
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• v.27 no.6
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• pp.30-38
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• 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
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• v.11 no.10
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• pp.1992-1998
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• 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
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• v.19 no.6
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• pp.11-21
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• 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
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• v.13 no.6
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• pp.319-328
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• 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
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• v.19 no.2
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• pp.69-76
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• 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
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• v.41 no.2
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• pp.151-171
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• 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
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• v.26 no.3
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• pp.11-20
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• 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.

• Journal of Convergence for Information Technology
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• v.11 no.9
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• pp.173-181
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• 2021

The purpose of this study is to prove the existence of the meridians by analyzing the effect of bloodletting cupping on Back-Shu Points and venesection on sabonghyeul, which are treatments for gastrointestinal and circulatory diseases with Ryodoraku. We selected the charts of 30 patients who received the treatment such as bloodletting cupping on Back-Shu Points and venesection on sabonghyeul for gastrointestinal and circulatory diseases. First, the Ryodoraku test was conducted in a stable state. After taking a rest on the bed, he performed a venesection on sabonghyeul. And bloodletting cupping on Back-Shu Points was performed with prone position. After all the procedures were completed, Ryodoraku test was performed again. And the result was compared with previous test status. By bloodletting cupping on Back-Shu Points and venesection on sabonghyeul, the deviation between the current value of the right F5 (gallbladder)· H4 (small intestine)· H6 (large intestine) (p<.05, p<.05, p<.001), left H5 (triple energizer) (p<.05) and the average current of 24 source points was significantly decreased. The difference between the left and right currents at the site of F3 (kidney) showed a significant increase (p<.005). It can be proved the existence of meridians that Bloodletting cupping on Back-Shu Points and venesection on sabonghyeul showed significant changes in the F5 (gallbladder), H4 (small intestine), H6 (large intestine), F3 (kidney), H5 (triple energizer) in digestive and circulatory symptoms by Ryodoraku test.

• Science of Emotion and Sensibility
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• v.26 no.3
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• pp.149-160
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• 2023

This study develops a time-varying system-based noncontact fabric sensor that can measure cerebral blood-flow signals to explore the possibility of brain blood-signal detection and emotional evaluation. The textile sensor was implemented as a coil-type sensor by combining 30 silver threads of 40 deniers and then embroidering it with the computer machine. For the cerebral blood-flow measurement experiment, subjects were asked to attach a coil-type sensor to the carotid artery area, wear an electrocardiogram (ECG) electrode and a respiration (RSP) measurement belt. In addition, Doppler ultrasonography was performed using an ultrasonic diagnostic device to measure the speed of blood flow. The subject was asked to wear Meta Quest 2, measure the blood-flow change signal when viewing the manipulated image visual stimulus, and fill out an emotional-evaluation questionnaire. The measurement results show that the textile-sensor-measured signal also changes with a change in the blood-flow rate signal measured using the Doppler ultrasonography. These findings verify that the cerebral blood-flow signal can be measured using a coil-type textile sensor. In addition, the HRV extracted from ECG and PLL signals (textile sensor signals) are calculated and compared for emotional evaluation. The comparison results show that for the change in the ratio because of the activation of the sympathetic and parasympathetic nervous systems due to visual stimulation, the values calculated using the textile sensor and ECG signals tend to be similar. In conclusion, a the proposed time-varying system-based coil-type textile sensor can be used to study changes in the cerebral blood flow and monitor emotions.