• Title/Summary/Keyword: 결함 심각도

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Korean Nurses' Judgments of Child Sexual Abuse Situations: The Use of Vignettes (아동 성폭력 상황에 대한 한국 간호사의 판단)

  • Ko, Chung-Mee
    • Child Health Nursing Research
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    • v.12 no.1
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    • pp.122-133
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    • 2006
  • 본 연구의 목적은 아동 성폭력 상황 자체와 성폭력 가해자에 대한 간호사의 태도가 상황 판단에 미치는 영향을 규명하는데 초점을 둔다. 503명의 병원 간호사와 526명의 보건교사를 대상으로 vignette 디자인 설문조사를 실시하였다. 아동성폭력 상황 vignettes은 7가지의 특성 (성폭력 행위, 성폭력 빈도, 피해자의 연령, 피해자의 저항, 가해자의 연령, 가해자와 피해자의 교차성별, 가해자와 피해자와의 관계)을 조합하여 구성하였다. 1/4 factorial design의 결과로서 64개의 vignettes 이 도출되었으며 이 중 16개 vignettes을 무작위로 추출하여 그 vignettes에 나타난 각 성폭력 상황들의 심각정도를 표시하도록 하였다. 성폭력 가해자에 대한 문항들은 1) 가해자가 아동 성폭력을 하는 이유 2) 전형적인 성폭력 가해자3) 아동성폭력 가해자의 처벌방법에 관한 간호사의 태도를 묻는 것이었다. 자료분석은 Logistic Regression을 실시하였다. 연구결과에서 간호사들은 아동 성폭력 상황의 심각도를 판단할 때 주로 성폭력 상황에 의해 영향을 받고 아동 성폭력 가해자에 대한 개인적 태도는 거의 영향을 미치지 않는 것으로 나타났으며, 아동 성폭력 상황 특성 중 피해자의 저항, 성폭력 행위, 성폭력 빈도, 가해자의 연령, 가해자와 피해자의 교차성별 순으로 아동 성폭력상황의 심각도에 영향을 미치는 것으로 나타났다. 결론적으로, 간호사들은 아동 성폭력 상황에 직면하여 사례를 판단할 때 아동 성폭력 문제에 대한 개인의 태도에 영향을 받기보다는 사례 그 자체에 근거를 두고 판단하는 경향을 나타낸다. 본 연구 결과는 법적, 전문가적 의미에서 아동성폭력 신고자로서의 의무와 사례중재에 개입된 의료인으로서의 역할 수행에 긍정적인 면을 시사한다.

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A Cost Sensitive Part-of-Speech Tagging: Differentiating Serious Errors from Minor Errors (태깅 오류 간 중요도 차별화에 기반한 비용 의존 품사 태깅)

  • Son, Jeong-Woo;Noh, Tae-Gil;Park, Seong-Bae;Go, Jun-Ho
    • Proceedings of the Korean Information Science Society Conference
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    • 2011.06c
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    • pp.236-239
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    • 2011
  • 품사 태깅에서 오류는 같은 가중치를 가지는 것으로 간주되어 왔다. 하지만 품사 태깅의 결과를 활용하는 다른 자연어 처리 기술에 태깅 오류가 얼마나 영향을 미칠 수 있는가에 따라 품사 태깅 시 발생하는 오류가 가지는 가중치를 다르게 보아야 한다. 심각한 오류는 이를 활용하는 자연어 처리 기술의 성능 저하를 크게 야기하지만, 사소한 오류는 성능의 저하를 야기하지 않거나 그 영향이 미미하다. 본 논문에서는 품사 태깅 시, 전체적인 성능을 유지하면서 심각한 오류를 줄이는 것을 목표로 한다. 이를 위해 두 가지 점진적 손실 함수(gradient loss function)를 제안한다. 제안한 손실 함수는 심각한 오류에 사소한 오류보다 더 큰 가중치를 줌으로써 품사 태깅 모델이 심각한 오류에 더 집중하여 성능을 최적화하도록 한다. 실험에서 제안한 손실 함수를 활용한 태깅 모델은 기존의 방법에 비해 심각한 오류를 효과적으로 줄일 뿐만 아니라 전체적으로 더 높은 정확도를 보였다.

A Study on the Field Application through the Improvement of Scoring System for HACCP Evaluation Items of Cattle Farm (소 농장 HACCP 평가항목의 점수부여 체계 개선을 통한 현장 적용 연구)

  • Baek, Seung-Hee;Nam, In-Sik
    • Korean Journal of Organic Agriculture
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    • v.26 no.4
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    • pp.759-774
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    • 2018
  • This study was conducted to establish scores according to the importance levels of each HACCP evaluation item in cattle farm. The importance levels and score of each HACCP evaluation item was derived through the non-compliance rate and severity levels of hazard. In order to change the score criteria according to the importance of each HACCP evaluation item, we analyzed the importance of each HACCP evaluation item by using the portfolio mapping method according to the occurrence frequency and severity levels of hazard. The scores were classified into 3 point, 2 point, and 1 point, respectively, by classifying the importance of each category as 'high', 'middle' and 'lower'. Accordingly, we have established a now scoring system of each HACCP evaluation item through this study. Through the result of this study, the objectivity of the comparative evaluation was verified by implementing the currently used HACCP evaluation item to the cattle farm. In conclusion, Implementation of the result of this study to cattle farm may help to increase the objectivity and also improve more safety and hygienic cattle management and raw milk production.

Analysis on the Driving Safety and Investment Effect using Severity Model of Fatal Traffic Accidents (대형교통사고 심각도 모형에 의한 주행안전성 및 투자효과 분석)

  • Lim, Chang-Sik;Choi, Yang-Won
    • Journal of Korean Society of Transportation
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    • v.29 no.3
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    • pp.103-114
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    • 2011
  • In this study, we discuss a fatal accident severity model obtained from the analysis of 112 crash sites collected since 2000, and the resulting relationship between fatal accidents and roadway geometry design. From the 720 times computer simulations for improving driving safety, we then reached the following conclusions:. First, the result of cross and frequency-analyses on the car accident sites showed that 43.7% of the accidents occurred on the curved roads, 60.7% on the vertical curve section, 57.2% on the roadways with radius of curvature of 0 to 24m, 83.9% on the roads with superelevation of 0.1 to 2.0% and 49.1% on the one-way 2-lane roads; vehicle types involved are passenger vehicles (33.0%), trucks (20.5%) and buses (14.3%) in order of frequency. The results also show that the superelevation is the most influencing factor for the fatal accidents. Second, employing the Ordered Probit Model (OPM), we developed a severity model for fatal accidents being a function of on various road conditions so as to the damages can be predicted. The proposed model possibly assists the practitioners to predict dangerous roadway segments, and to take appropriate measures in advance. Third, computer simulation runs show that providing adequate superelevation on the segment where a fatal accident occurred could reduce similar fatal accidents by at least 85%. This result indicates that the regulations specified in the Rule for Road Structure and Facility Standard (description and guidelines) should be enhanced to include more specific requirement for providing the superelevation.

FMECA Procedure for Failure Analysis of Train High-Speed Circuit Breaker (전동차 고속차단기 고장 분석을 위한 FMECA 기법)

  • Kim, Sung-Ryeol;Moon, Yong-Sun;Choi, Kyu-Hyoung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.5
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    • pp.3370-3377
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    • 2015
  • FMECA(Failure Mode, Effects and Criticality Analysis) techniques to make quantitative evaluation of failure effects severity and criticality have been applied to systematic failure analysis for reliability improvement of train which should provide regular service and secure high level of safety as a mass transportation system. These FMECA techniques do not fully reflect the inherent train operation and maintenance circumstances because they are based on the FMECA standards devised for other industries such as automobile industry and FMECA standard dedicated to train industry has not been established yet. This paper analyzes FMECA standards for various industries, and suggests a FMECA technique dedicated to train industry which makes failure effect analysis and criticality analysis step by step and makes criticality analysis placing emphasis on the severity of the failure effect. The proposed technique is applied to FMECA of high-speed current breaker which is a core safety device of train using field failure data for 15 years of train maintenance. The FMECA results show that breakage of arc chute has the highest risk with 3rd severity class and 5th criticality class among all the components of high-speed circuit breaker. Damage and poor contact of electronic valve, and cylinder breakage with 3rd severity class and 4th criticality class are followed by. These results can be applied to improvement of design and maintenance process for high-speed circuit breaker of train.

A Development of Road Crack Detection System Using Deep Learning-based Segmentation and Object Detection (딥러닝 기반의 분할과 객체탐지를 활용한 도로균열 탐지시스템 개발)

  • Ha, Jongwoo;Park, Kyongwon;Kim, Minsoo
    • The Journal of Society for e-Business Studies
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    • v.26 no.1
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    • pp.93-106
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    • 2021
  • Many recent studies on deep learning-based road crack detection have shown significantly more improved performances than previous works using algorithm-based conventional approaches. However, many deep learning-based studies are still focused on classifying the types of cracks. The classification of crack types is highly anticipated in that it can improve the crack detection process, which is currently relying on manual intervention. However, it is essential to calculate the severity of the cracks as well as identifying the type of cracks in actual pavement maintenance planning, but studies related to road crack detection have not progressed enough to automated calculation of the severity of cracks. In order to calculate the severity of the crack, the type of crack and the area of the crack in the image must be identified together. This study deals with a method of using Mobilenet-SSD that is deep learning-based object detection techniques to effectively automate the simultaneous detection of crack types and crack areas. To improve the accuracy of object-detection for road cracks, several experiments were conducted to combine the U-Net for automatic segmentation of input image and object-detection model, and the results were summarized. As a result, image masking with U-Net is able to maximize object-detection performance with 0.9315 mAP value. While referring the results of this study, it is expected that the automation of the crack detection functionality on pave management system can be further enhanced.

THE RELATIONSHIP AMONG CHILD'S BEHAVIOR PROBLEMS, MATERNAL DEPRESSION, AND PARENTING STRESS (아동의 정서 및 행동 문제와 어머니의 우울증, 양육 스트레스간의 관계)

  • Lee, Young-Joon;Song, Won-Young;Choi, Yui-Gyum;Shin, Yee-Jin
    • Journal of the Korean Academy of Child and Adolescent Psychiatry
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    • v.14 no.2
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    • pp.218-228
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    • 2003
  • Objectives:This study investigated the relationship among child's behavior problems, maternal depression, and parenting stress in children with psychiatric diagnoses and their mothers, and the effect of these variables to the mothers' parenting stress. Methods:Seventy-three children(31 externalizing, 24 internalizing, 18 mixed) and their mothers were involved in this study. The mothers of three groups completed MMPI, KPI-C(Korean Personality Inventory for Children), and PSI(Parenting Stress Index). To investigate the relationships among each variables, ANOVA, Pearson correlation, stepwise regression analysis were performed. Results:There was no significant difference in maternal depression among three groups of children. In 2-Way ANOVA, main effect of maternal depression was statistically significant on depression, parent health, and relationship with spouse subfactor in parent domain, parent domain total, and overall parenting stress. But the main effect of child group was statistically significant on distractability/hyperactivity subfactor in child domain only. In regression analysis, maternal depression explained the parent domain of parenting stress most effectively, and child's hyperactivity and anxiety explained the child domain of parenting stress significantly. Conclusion:These findings suggest that it is important to intervene maternal depression to reduce the parenting stress, along with the treatment of the child's behavior problems.

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Severity of Comorbidities among Suicidal Attempters Classified by the Forms of Psychiatric Follow-up (자살시도자의 정신건강의학과 치료 연계 형태에 따른 동반질병 심각도의 차이)

  • Lee, Hyeok;Oh, Seung-Taek;Kim, Min-Kyeong;Lee, Seon-Koo;Seok, Jeong-Ho;Choi, Won-Jung;Lee, Byung Ook
    • Korean Journal of Psychosomatic Medicine
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    • v.24 no.1
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    • pp.74-82
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    • 2016
  • Objectives : Suicide attempters have impaired decision making and are at high risk of reattempt. Therefore it is important to refer them to psychiatric treatment. Especially, People with medical comorbidity are at higher risk of suicidal attempt and mortality. The aim of this study was to investigate the characteristics of suicidal attempters and to analyze the influence of the medical comorbidity on decision to receive psychiatric treatment after visit to an emergency department. Methods : One hundred and thirty two patients, who visited the emergency room of a general hospital in Gyeonggi-do between January, 2012 and December, 2012 were enrolled as the subjects of this study. After reviewing each subject's medical records retrospectively, demographic and clinical factors were analyzed. Results : Regardless of the engagement type, either via admission or outpatient clinic, the determinant factors of psychiatric treatment engagement were psychiatric diagnosis, employment status, previous psychiatric treatment history, and previous attempt history. Comparison of severity of medical comorbidity(Charlson Comorbidity Index) showed that suicide attempters who received psychiatric treatment via admission or refused the treatment tended to have higher level of medical comorbidity than who received psychiatric treatment via outpatient department. Conclusions : Our findings showed that medical comorbidity of suicide attempters affected the decision to accept psychiatric treatment. All psychiatrists should evaluate the presence and the severity of medical comorbidity of the suicide attempters and consider implementing more intervention for the medically ill attempters who are willing to discharge against advice.

Personality Trait in Panic Disorder Patient and Its Clinical Significance (공황장애 환자의 성격특성과 임상적 의의)

  • Chae, Young-Lae;Lee, Chung-Tai;Kim, Bo-Yeon;Lee, Sung-Pil;Hong, Seung-Chul;Kim, Chong-Woo;Keh, Yoon-Jung
    • Korean Journal of Psychosomatic Medicine
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    • v.3 no.2
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    • pp.139-146
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    • 1995
  • Forty patients meeting DSM-III-H criteria for panic disorder and 51 normal controls were assessed with the Personality Diagnostic Questionnaire-Revised(PDQ-R), a self-rating scale designed to assess Axis II personality disorders and traits. Results replicated previous findings of a preponderance of dependent, avoidant, and histrionic features. But our result showed other features such as paranoid, schizotypal, borderline, and antisocial traits also. Patients were divided into two groups according to the severity of their personality traits(high or low). These groups were compared in various panic symptomatology and SCL-90-R. None of the specific symptom dimensions in panic disorder, i.e. panic, anxiety, agoraphobia, social impairment, or chronicity was different between groups. Rather, high personality trait groups were found to have significantly more symptomatology in SCR-90-R than low personality groups. Result indicated that patients exhibiting a greater number of personality traits were also significantly more symptomatic. The results suggested a possible link beteween panic disorder and personality disorder. And, general factors such as depression, social or interpersonal sensitivity might provide a much better explanation of personality disorders in panic patients.

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The Relationship between Violation of Designated Lane Usage and Accident Severity on Freeways (고속도로 지정차로제 위반과 교통사고 심각도와의 관계분석: 화물차량을 대상으로)

  • Kim, Joo-Hee;Lee, Soo-Beom;Kim, Da-Hee;Hong, Ji-Yeon
    • Journal of Korean Society of Transportation
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    • v.30 no.3
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    • pp.119-127
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    • 2012
  • For traffic safety, it is imperative for motorists to secure their clear view and to maintain a similar speed with others while driving in a lane. Large-sized vehicles at lower speeds, however, are likely to increase the risk of accident when they share a lane with cars. Although to overcome this complication the Korean Road Traffic Act established rules for the safe use of roads, the reality is that the rules are seldom observed strictly. In this light, this study was designed to analyze the severity of truck-involved accidents, thereby providing justification for the need of truck-designated lanes and thus contributing to measuring road safety more precisely. A binomial logistic regression model was applied to analyze the severity of truck-involved accidents. The analysis showed that several variables affect the severity of truck-involved accidents on freeways; i.e., violation against the rule of truck-designated lanes, weather, difference between daytime and nighttime, and parking on road shoulder. Moreover, the strong enforcement will be needed to make motorists observe the rule, because a Wald statistical test showed that the violation against the rule of truck-designated lanes has the largest influence on the severity.