• Proceedings of the Korean Information Science Society Conference
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• 2001.10b
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• pp.7-9
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• 2001

의료 분야에서의 데이터는 특성상 여러 측면을 복합적으로 고려해야 할 뿐만 아니라, 다른 분야에서의 데이터 성격과는 다르게 원인과 그 원인에 대한 해결책을 바로 찾아내기가 쉽지 않다. 본 연구에서는 불임환자들에 대한 검사기록 및 임신결과가 기록된 데이터를 이용하여 베이지안망 분류기를 생성하고 이를 통해 가임여부를 결정짓는 중요 항목 들간의 의존성을 조건확률로 나타내고 비교하였다. 또한 휴리스틱망, 나이브베이지안망 분류기를 생성하여 성능을 비교하였다. 결과적으로 총수정란수는 최상급수정란이식수에 강한 영향을 갖는다는 사전지식의 타당함을 입증할 수가 있었으며, 또한 성숙난자수가 총수정란수에 강한 영 향을 미치고 화학적임신과 임상적임신과 학습은 서로 독립이라는 가설에 대하여 전자의 경우는 간접적인 의존성을 갖고, 후자의 경우는 화학적 결과가 임상적 결과에 강한 의존성이 존재함을 밝혀낼 수 있었다. 분류기간의 성능에서는 자동생성된 베이지안망이 가장 우수한 정확도를 가짐을 측정할 수 있었다.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.25 no.3
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• pp.267-275
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• 2012

In this study, crack growth in a center-cracked plate is predicted under mode I variable amplitude loading, and the result is validated by experiment. Huang's model is employed to describe crack growth with acceleration and retardation due to the variable loading effect. Experiment is conducted with Al6016-T6 plate, in which the load is applied, and crack length is measured periodically. Particle Filter algorithm, which is based on the Bayesian approach, is used to estimate model parameters from the experimental data, and predict the crack growth of the future in the probabilistic way. The prediction is validated by the run-to-failure results, from which it is observed that the method predicts well the unique behavior of crack retardation and the more data are used, the closer prediction we get to the actual run-to-failure data.

• Journal of the Korean Association of Geographic Information Studies
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• v.8 no.2
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• pp.117-124
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• 2005

In order to decrease the area damaged by forest fires and to prevent the occurrence of forest fires, we are making an effort to improve prevention measures for forest fires. This study was conducted to forecast risk regions where forest fires occur based on the factors of forest type and topographic characteristics and predict hazard regions where forest fires is expanded to large-scale forest fire based on the forest type characteristics in Uiseong-Gun. The results of classification of forest fire risk and hazard regions using GIS indicate 4% of the total areas in Uiseong-Gun.

• Science of Emotion and Sensibility
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• v.27 no.3
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• pp.15-26
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• 2024

This study aimed to predict psychopathology based on personality measures via supervised machine learning methodology. We implemented the Singer-Loomis Type Deployment Inventory (SLTDI) for psychological typology and the Korean version of the Revised Symptom Checklist 90 (KSCL-95) for psychopathology. A total of 521 Korean adults from across the country participated in the online survey. Statistical analyses including correlation, k-means cluster analysis, classification, and regression-based decoding were performed. Results revealed four differentiated clusters on the spectrum of clinical severity. Moreover, SLTDI could distinguish between hypothesis-driven and data-driven clusters by chance. KSCL-95's three subcategories, as well as its validity, were accurately classified. Regression-based decoding results showed that their typology data significantly predicted social desirability, depression, anxiety, obsessive-compulsive disorder, PTSD, schizophrenia, stress vulnerability, and interpersonal sensitivity significantly. Overall, these findings suggest that personality tests could be utilized to screen for the severity of psychopathology and to implement prevention and early intervention strategies.

• Korean Journal of Psychosomatic Medicine
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• v.27 no.1
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• pp.69-76
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• 2019

Objectives : The purpose of this study was to examine the prevalence and clinical characteristics of nonsuicidal self-injury (NSSI), and its association with suicide attempts among clinically depressed adolescents in Korea. Methods : In total, 113 depressed adolescents aged 12-18 years in South Korea were enrolled in this study. We assessed sociodemographic and clinical characteristics including suicidality and non-suicidal self-injury (NSSI) using various self-reported scales and semi-structured interview for diagnosis of psychiatric disorders. Demographic and clinical characteristics of the subjects were compared between NSSI and non-NSSI groups. We examined significant predictors of suicide attempts using logistic regression analysis. Results : Among 113 depressed participants, 48 (42.1%) adolescents were classified into the NSSI group. In the NSSI group, there were significantly more females, showed higher depression, higher state-anxiety, and more suicide ideation. The most predictive factors of suicide attempts were history of NSSI, observed suicide/NSSI behaviors of their family or friends, and total state anxiety score. Conclusions : NSSI is more common problem among clinically depressed adolescents and history of NSSI is a significant predictor of present suicide attempts. To include the assessment of NSSI for clinically depressed adolescent may be crucial for intervention programs for high risk adolescents of suicide in Korea.

• The Journal of the Korea Contents Association
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• v.15 no.11
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• pp.263-273
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• 2015

The purpose of this study was to investigate an effect of resilience of clinical nurses on their job stress and burnout. A convenience sample of 166 subjects were recruited from one general hospital. The mean score of resilience, job stress, burnout were 2.48, 4.00, and 2.98 respectively. The relation between resilience and burnout was effected with the negative correlation. The explanation power of resilience of clinical nurses on burnout was 24.8%. In conclusion, we found that resilience decreased clinical nurse's burnout. From this result, we suggest resilience improvement programs for clinical nurses will be developed and implemented.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.9
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• pp.4380-4387
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• 2013

The purpose of this study was to investigate the level of clinical competence and influencing factors of clinical competence in nursing students. Convenience sample of 197 subjects were recruited from two colleges in D city. The survey was conducted from March 2nd to 21th 2011. The data was collected by questionnaires and was analyzed with SPSS statistics 21.0. The mean score of clinical competence was 3.96. Significant positive correlation among clinical thinking disposition, problem solving ability, major satisfaction, satisfaction with clinical practice, clinical competence were found. It was found that the effect of clinical thinking disposition, completion of logic course, problem solving ability on clinical competence was 27.2% and clinical thinking disposition influence on clinical competence in nursing students. The study findings suggest that to develop the effective learning program with achievement level of clinical competency for nursing students.

• Korean Journal of Clinical Laboratory Science
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• v.50 no.4
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• pp.470-476
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• 2018

Facial motor evoked potential (FMEP) by multi-pulse transcranial electrical stimulation (mpTES) can complement free-running electromyography (EMG) and direct facial nerve stimulation to predict the functional integrity of the facial nerve during cerebello-pontine angle (CPA) tumor surgery. The purpose of this paper is to examine the standardized test methods and the usefulness of FMEP as a predictor of facial nerve function and to minimize the incidence of facial paralysis as an aftereffect of surgery. TES was delivered through electrode Mz (cathode) - M3/M4 (anode), and extracranially direct distal facial muscle excitation was excluded by the absence of single pulse response (SPR) and by longer onset latency (more than 10 ms). FMEP from the orbicularis oris (o.oris) and the mentalis muscle simultaneously can improve the accuracy and success rate compared with FMEP from the o.oris alone. Using the methods described, we can effectively predict facial nerve outcomes immediately after surgery with a reduction of more than 50% of FMEP amplitude as a warning criterion. In conclusion, along with free-running EMG and direct facial nerve stimulation, FMEP is a useful method to reduce the incidence of facial paralysis as a sequela during CPA tumor surgery.

• Journal of the Korean Data and Information Science Society
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• v.26 no.3
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• pp.695-706
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• 2015

The purpose of this study was to examine the relationship among self-leadership, critical thinking disposition, satisfaction of clinical practice and clinical practice competency of nursing students. Participants were 199 baccalaureate nursing students (3rd and 4th grades) in 2 cities. The data was collected by questionnaires and were analyzed with the SPSS/Win 21.0 program, using descriptive statistics, Pearson's correlation coefficient and multiple regression. Significant positive correlations were among self-leadership, critical thinking disposition, satisfaction of clinical practice and clinical practice competency. The regression model explained 30.4% of satisfaction of clinical practice. The significant predictors of satisfaction of clinical practice were clinical experience, satisfaction of major, self-leadership and critical thinking disposition. The regression model explained 23.7% of clinical practice competency. Health status, self-leadership and critical thinking disposition were factors influencing clinical practice competency. It should strengthen self-leadership and encourage critical thinking disposition to improve nursing students' satisfaction of clinical practice and clinical practice competency.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.11-11
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• 2021

2018년부터 삼척지역에는 전파강수관측소(X-band 이중편파레이더)가 설치되어 현업 운영 중에 있다. 해당 지역은 영동지역은 산지로 둘러싸여 있어 지형적인 여건으로 지상강우관측망과 기존 대형 강우레이더로도 정확한 강우관측에 한계가 있었다. 설치 이후 전파강수관측소의 품질관리와 최적 관측전략 수립, 분포형 비차등위상차 기반의 강우추정 기법의 적용으로 정량적 추정강우의 정확도가 확보되어 75m의 고해상도 격자강우 정보가 제공되고 있다. 본 연구에서는 이러한 전파강수관측소의 정량적 추정강우를 홍수예보에 활용하기 위해서 강우기반의 하천 수위 예측 기법인 하천흐름계산도표를 개발하였다. 하천흐름계산도표가 개발된 지역은 삼척 전파강수관측소의 관측 반경에 포함되는 삼척오십천 유역이며, 해당지역은 수변공원으로 조성되어 있어 시민의 접근이 용이하여 하천 수위 급상승으로 인해 피해가능성이 높은 지역이다. 2019년과 2020년 호우사례를 대상으로 개발된 하천흐름계산도표에 전파강수관측소의 정량적 추정강우를 적용하여 하천수위 상승 예측성을 평가하였다. 또한 비교대상으로 강우관측소 강우자료와 환경부 대형 강우레이더 강우자료의 적용결과를 함께 비교하였다. 비차등 위상차 기반의 강우추정 기법을 적용하여 산정된 삼척 전파강수관측소의 정량강우는 기존의 강우추정 결과(SRI, CMP_HFC)보다 강우추정 정확도가 향상된 것을 확인하였다. 특히, 10km 관측 반경을 기준으로 분석하면 정확도가 상대적으로 높았다. 삼척 전파강수관측소 추정강우를 하천흐름 계산도표에 적용한 결과, 2020년 9월 7일 호우에 의해 삼척오십천 유역에서 관심수위 초과(10:20), 주의수위 초과(11:20)가 발생하였는데, 삼척 전파강수관측소 추정강우가 관심수위 초과 1시간 50분 전에 수위상승을 예측하였고, 주의수위 초과 30분전에 수위상승을 예측하였다. 이를 통해 개발된 하천흐름계산도표와 삼척 전파강수관측소의 홍수예보 활용 가능성을 확인하였다.