• 한국안전학회지
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• 제24권6호
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• pp.7-12
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• 2009

This study focuses on the classification of fire equipments for certification based on the risk evaluation. In general, known statistics on fire equipment-related accidents needs to be used for risk evaluation. When statistics is not available, however, expected frequency and severity of accident for individual equipment can be taken into account in evaluating the related risks. Based on the level of inherent risks, each equipment is then classified into three categories for certification. For equipments that risk evaluation is not possible, characteristics of those products such as reliability are considered for classification. Once classified, each equipment is assigned an appropriate certification module.

• 한국인터넷방송통신학회논문지
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• 제22권6호
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• pp.113-119
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• 2022

소프트웨어 결함 예측 작업 시 단순히 결함 유무만을 예측하는 이진 분류 모델에 비해 결함의 심각도 범주를 예측하는 다중 분류 모델은 훨씬 유용하게 사용될 수 있다. 소수의 심각도 기반 결함 예측 모델들이 제안되었지만 딥러닝 기법을 사용한 분류기는 없었다. 본 논문은 3개, 5개의 은닉층을 갖고 은닉층 노드수가 고정된 구조와 변화하는 구조의 MLP 모델들을 제작하였다. 모델 평가 실험 결과 기존 기계학습 모델들 중 가장 좋은 성능을 보인 MLPs보다 MLP 기반 딥러닝 모델들은 Accuracy와 AUC 모두 유의미하게 더 우수한 성능을 보였다. 특히 노드수 고정 구조에서는 은닉 층수 3, 배치사이즈 32, 노드수 64인 모델 구조가 가장 좋은 성능을 보였다.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.823-830
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• 2022

The risk of project execution increases due to the enlargement and complexity of Engineering, Procurement, and Construction (EPC) plant projects. In the fourth industrial revolution era, there is an increasing need to utilize a large amount of data generated during project execution. The design is a key element for the success of the EPC plant project. Although the design cost is about 5% of the total EPC project cost, it is a critical process that affects the entire subsequent process, such as construction, installation, and operation & maintenance (O&M). This study aims to develop a system using machine-learning (ML) techniques to predict risks and support decision-making based on big data generated in an EPC project's design and construction stages. As a result, three main modules were developed: (M1) the design cost estimation module, (M2) the design error check module, and (M3) the change order forecasting module. M1 estimated design cost based on project data such as contract amount, construction period, total design cost, and man-hour (M/H). M2 and M3 are applications for predicting the severity of schedule delay and cost over-run due to design errors and change orders through unstructured text data extracted from engineering documents. A validation test was performed through a case study to verify the model applied to each module. It is expected to improve the risk response capability of EPC contractors in the design and construction stage through this study.

• International Journal of Automotive Technology
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• 제7권6호
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• pp.757-762
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• 2006

Reliability of automotive parts has been one of the most interesting fields in the automotive industry. Especially, a small DC motor was issued because of the increasing adoption for passengers' safety and convenience. For several years, small DC motors have been studied and some problems of a life test method were found out. The field condition was not considered enough in the old life test method. It also needed a lot of test time. For precise life estimation and accelerated life test, new life test procedure was developed based on measured field condition. The vibration condition on vehicle and latent force on fan motor shaft were measured and correlated with each other. We converted the acceleration data into the load data and calculated the equivalent load from integrated value. We found the relationship which can be used for accelerated life test without changing the severity by using different loading factors.

• 말소리와 음성과학
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• 제10권4호
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• pp.173-177
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• 2018

Purpose: The primary goal of this study was to discover whether the articulatory diadochokinesis (sequential motionrate, SMR) collected using the Motor Speech Disorder Assessment (MSDA) software module can diagnose dysarthria and determine its severity. Methods: Two subject groups, one with spastic dysarthria (n=26) and a control group of speakers (n=30) without neurological disease, were set up. From both groups, the SMR was collected by MSDA at a time, and then analyzed using descriptive statistics. Results: For the parameters of syllable rate, jitter, and the mean syllable length (MSL) at the front and back, the control group displayed better results than the dysarthria patients. Conclusions: At the level of articulatory diadochokinesis, the results showed that the use of MSDA software in clinical practice was generally suitable for quickly recording the parameters of syllable rate, jitter, and mean syllable length.

• 대한불안의학회지
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• 제13권2호
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• pp.123-131
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• 2017

Objective : The PTSD Checklist (PCL) is a self-report screen for posttraumatic stress disorder (PTSD) that can be scored for both diagnostic assessment and symptom severity measurement. The most recent revision of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) contains a number of changes to the definition of PTSD, and the aim of this study was to assess the psychometric properties of the Korean version of the PCL for the DSM-5 (PCL-5-K). Methods : The participants were 204 Korean veterans of the Vietnam War who completed the PCL-5-K, the Mini Mental Status Examination (MMSE), PTSD module of Structured Clinical Interview for DSM-5, Research Version (SCID5-RV PTSD module), Korean version of Impact of Event Scale-Revised (IES-R-K) and Combat Exposure Scale (CES-K). Results : The PCL-5-K demonstrated good internal consistency (${\alpha}=0.972$) and test-retest reliability (r=0.96); the suggested cut-off score for PTSD diagnosis was ${\geq}37$ with 0.88 sensitivity and 0.96 specificity. The PCL-5-K scale correlated highly with the IES-R-K and CES-K. Factor analysis identified only one factor. Conclusion : Among elderly Korean veterans of the Vietnam War, the PCL-5-K demonstrated similar psychometric qualities to those of both the original PCL and subsequent versions. It is expected that the PCL-5-K will be a useful PTSD screening tool.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2013년도 추계학술대회 논문집
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• pp.338-345
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• 2013

Induction motors play an increasing importance in industrial manufacturing. Therefore, the state monitoring systems also have been considering as the key in dealing with their negative effect by absorbing faulty symptoms in motors. There are numerous proposed systems in literature, in which, several kinds of signals are utilized as the input. To solve the multiple faults problem of induction motors, like the proposed system, the vibration signals is good candidate. In this study, a new signal processing scheme was utilized, which transforms the time domain vibration signal into the spatial domain as an image. Then the spatial features of converted image then have been extracted by applying the dominant neighbourhood structure (DNS) algorithm. In addition, these feature vectors were evaluated to obtain the fruitful dimensions, which support to discriminate between states of motors. Because of reliability, the conventional one-against-all (OAA) multi-class support vector machines (MCSVM) have been utilized in the proposed system as classifier module. Even though examined in severity levels of signal-to-noise ratio (SNR), up to 15dB, the proposed system still reliable in term of two criteria: true positive (TF) and false positive (FP). Furthermore, it also offers better performance than five state-of-the-art systems.

• 한국전산구조공학회논문집
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• 제37권1호
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• pp.49-56
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• 2024

구조물의 동적 해석 자동화는 구조 통합 시스템에서 중요한 역할을 한다. 해석 결과에 따른 신속한 대피 또는 경고 조치가 신속하게 이루어지도록 해석 모듈은 짧은 실시간에 해석 결과를 출력해야 한다. 구조 해석법으로 세계적으로 가장 많이 사용되는 방법은 유한요소법이다. 유한요소법이 널리 사용되는 이유 중 하나는 사용의 편리다. 그러나 사용자가 유한요소망을 입력해야 하는데 요소망의 요소 수는 계상량과 정비례하고 요소망의 적절성은 에러와 연관된다. 본 연구는 시간 영역 동적 해석에서 전 단계 해석 결과를 사용하여 계산된 대표 변형률 값으로 오차를 평가하고, 요소 세분화는 절점 이동인 r-법과 요소 분할인 h-법의 조합으로 효율적으로 계산하는 적응적 요소망 형성 전략을 제시한다. 적용한 캔틸레버보와 간단한 프레임 예제를 통하여 적절한 요소망 형성, 정확성, 그리고 연산 효율성을 검증하였다. 이 방법의 간단함이 지진 하중, 풍하중, 비선형 해석 등에 의한 복잡한 구조 동적 해석에도 효율적으로 사용될 수 있는 것을 보여 준다.

• 대한지역사회영양학회지
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• 제16권6호
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• pp.771-781
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• 2011

The objective of this study was to assess the reliability and validity of food security measures, which was developed based on the US household food security survey module (US HFSSM) with content validity in the Korean population. The reliability and validity were assessed by internal consistency, construct validity and criterion-related validity. The study included 446 households. Among those, 46.2% were households with children. The proportion of food insecure households was 33.3%. Among those, 35.4% and 64.6% households were food insecure with hunger and without hunger, respectively. The Cronbach's alpha coefficients were 0.84 and the infit value by the Rasch model analysis ranged from 0.68 to 1.43. The scale item response curves by food insecurity severity explained well the nature and characteristics of food security, indicating the highest proportion of "yes" for the items on diet quality, followed by those with diet quantity. The result of criterion-related validity showed that food insecurity status was significantly related in a dose-response manner with the household income level, food expenditure, subjective health state, subjects' educational level. Household food security status was also related to dietary diversity regarding protein foods, fruits and fruit juice, and milk and dairy product. These findings suggest that the food security instrument is reliable and valid and would be used to assess food security status in the Korean population.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• 제24권2호
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• pp.145-153
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• 2021

Purpose: Children treated for Hirschsprung disease (HD) are adversely affected by fecal incontinence and soiling. This can be detrimental to their physical, psychosocial quality of life (QoL) and impacts the normal functioning of their family. QoL studies in HD are predominantly from developed countries. We measured general quality of life, impact on family and functional bowel status using validated questionnaires in HD children in a developing country. Methods: Patients with HD, treated in a tertiary paediatric institution in India between 2010 and 2017, were identified. Patients and/or their proxy completed the Pediatric Quality of Life and Family Impact Module questionnaires. Functional outcomes were assessed using Rintala's score. Results: A 86 children and their parents participated in the study. Majority had rectosigmoid disease (67.4%) and underwent Soave's endoanal pull through (74.4%). A 21% of patients had low Rintala score indicating poor functional bowel outcomes. Only 11% of children had poor QoL scores. Family functioning outcomes were also severely affected in the same subgroup of patients. There was statistically significant correlation between Rintala score and QoL scores (p-value<0.001). Disease severity, type of surgery, and duration of follow-up did not have a statistically significant impact on the QoL. Conclusion: QoL in children with HD was comparable to the general population. Bowel dysfunction affects a notable number of children and was the most significant determinant of poor QoL.