사건 중심성과 외상 후 스트레스 장애 및 외상 후 성장의 관계: 의도적 반추와 정서인식명확성의 이중매개효과

조영미(Young-Mi Cho),정남운(Nam-Woon Chung) 한국산학기술학회 2024 한국산학기술학회논문지 Vol.25 No.5

본 연구는 사건중심성이 외상 후 스트레스 장애(PTSD) 및 외상 후 성장(PTG)에 어떠한 영향을 미치는지 살펴보고, 사건중심성이 의도적 반추와 정서인식명확성을 통해서 외상 후 스트레스 장애(PTSD) 및 외상 후 성장(PTG)에 이르는 경로를 분석하였다. 이를 위하여 만 18세 이상의 성인 남녀 417명을 대상으로 2020년 3월 12일부터 4월 14일까지 오프라인 및 온라인을 통해 사건중심성 척도(CES), 외상 후 스트레스 증상 척도(IES-R-K), 외상 후 성장 척도(K-PTGI), 사건 관련 반추 척도(ERRI), 특질 상위 기분 척도(TMMS)를 이용하여 자기보고식 설문을 실시하였다. 본 연구의 결과는 다음과 같다. 변인들 간의 상관관계를 확인한 결과 사건중심성, 의도적 반추, 정서인식명확성, 외상 후 스트레스 장애(Posttraumatic Stress Disorder; PTSD), 외상 후 성장(Posttraumatic Growth; PTG) 간에는 모두 유의한 상관이 있었다. 사건중심성과 외상 후 스트레스 장애(Posttraumatic Stress Disorder; PTSD), 외상 후 성장(Posttraumatic Growth; PTG)의 관계에서 의도적 반추와 정서인식명확성이 각각 매개하는 두 개의 단순매개효과와 의도적 반추와 정서인식명확성이 순차적으로 매개하는 순차매개효과가 유의한 것으로 나타났다. 본 연구를 통해서 외상 관련 상담 장면에서 의도적 반추를 증진시키고 정서 인식을 촉진시킴으로써 외상 후 스트레스 장애(PTSD)를 줄이고 외상 후 성장(PTG)으로 이끄는 데에 의의가 있다. The purpose of this study was to investigate the effect of centrality of event on the symptoms of posttraumatic stress disorder(PTSD) and posttraumatic growth(PTG), and the dual mediating effect of deliberate rumination and emotional recognition clarity. Self-report questionnaires were conducted on 417 adults for the period from March 12 to April 14, 2020 to assess each variables, the Centrality of Event Scale(CES), the The Korean Version of Impact of Event Scale-Revised IES-R-K), the The Korean Version of the Posttraumatic Growth Inventory(K-PTGI), Event Related Rumination Inventory(ERRI) and Trait Meta Mood Scale(TMMS). The results of this study are as follows. A result of examining the correlation between the variables, there was a significant correlation between centrality of event , deliberate rumination, emotional recognition clarity, Posttraumatic Stress Disorder (PTSD), and Posttraumatic Growth (PTG). In the relationship between centrality of event, posttraumatic stress disorder (PTSD), and posttraumatic growth (PTG), two simple mediating effects mediated by deliberate rumination and emotional recognition clarity were found to be significant, respectively, and a sequential mediating effect mediated by deliberate rumination and emotional recognition clarity sequentially. Through this study, it is meaningful to reduce post-traumatic stress disorder(PTSD) and lead to post-traumatic growth(PTG) by promoting deliberate rumination and promoting emotional recognition clarity in trauma-related counseling scenes.

공장지역에서 주거지역으로의 대지용도 변경시 소음현황 및 관련법규

조영운(Cho Young-Woon),주문기(Ju Mun-Ki),오양기(Oh Yang-ki) 한국건축친환경설비학회 2009 한국건축친환경설비학회 학술발표대회 논문집 Vol.2009 No.10

열저항과 K-factor를 이용한 LED 조명광원의 정션온도 예측기법에 관한 연구

이호운(Ho-Woon Lee),조영진(Young-Jin cho),곽계달(Kae-Dal Kwack) 대한기계학회 2009 대한기계학회 춘추학술대회 Vol.2009 No.11

It is difficult to determine the maximum and partial junction temperature simultaneously because LED lightings are manufactured using several chips with low power rather than single chip with high power. In this study, in case of the lighting source module of the MR16 assembled lots of the LED, the method determining the maximum and partial junction temperature simultaneously with LED and simply applying to the industrial site was deduced. At this end, by using the transient measuring technique, the thermal resistance of an one-chip was analyzed in detail and the thermal resistance of the whole module was calculated by applying to the K-factor calculation method. Comparing to these techniques, thermal network techniques, by using conduction and convection thermal resistance, which can estimate the maximum and partial junction temperature of the LED chip simultaneously in which it is adhered to a module by applying the MR16 optical source module to the thermal resistance was propose.

건설 현장 CCTV 영상을 이용한 작업자와 중장비 추출 및 다중 객체 추적

조영운 ( Cho¸ Young-woon ),강경수 ( Kang¸ Kyung-su ),손보식 ( Son¸ Bo-sik ),류한국 ( Ryu¸ Han-guk ) 한국건축시공학회 2021 한국건축시공학회지 Vol.21 No.5

건설업은 업무상 재해 발생빈도와 사망자 수가 다른 산업군에 비해 높아 가장 위험한 산업군으로 불린다. 정부는 건설 현장에서 발생하는 산업 재해를 줄이고 예방하기 위해 CCTV 설치 의무화를 발표했다. 건설 현장의 안전 관리자는 CCTV 관제를 통해 현장의 잠재된 위험성을 찾아 제거하고 재해를 예방한다. 하지만 장시간 관제 업무는 피로도가 매우 높아 중요한 상황을 놓치는 경우가 많다. 따라서 본 연구는 딥러닝 기반 컴퓨터 비전 모형 중 개체 분할인 YOLACT와 다중 객체 추적 기법인 SORT을 적용하여 다중 클래스 다중 객체 추적 시스템을 개발하였다. 건설 현장에서 촬영한 영상으로 제안한 방법론의 성능을 MS COCO와 MOT 평가지표로 평가하였다. SORT는 YOLACT의 의존성이 높아서 작은 객체가 적은 데이터셋을 학습한 모형의 성능으로 먼 거리의 물체를 추적하는 성능이 떨어지지만, 크기가 큰 객체에서 뛰어난 성능을 나타냈다. 본 연구로 인해 딥러닝 기반 컴퓨터 비전 기법들의 안전 관제 업무에 보조 역할로 업무상 재해를 예방할 수 있을 것으로 판단된다. The construction industry has the highest occupational accidents/injuries and has experienced the most fatalities among entire industries. Korean government installed surveillance camera systems at construction sites to reduce occupational accident rates. Construction safety managers are monitoring potential hazards at the sites through surveillance system; however, the human capability of monitoring surveillance system with their own eyes has critical issues. A long-time monitoring surveillance system causes high physical fatigue and has limitations in grasping all accidents in real-time. Therefore, this study aims to build a deep learning-based safety monitoring system that can obtain information on the recognition, location, identification of workers and heavy equipment in the construction sites by applying multiple object tracking with instance segmentation. To evaluate the system's performance, we utilized the Microsoft common objects in context and the multiple object tracking challenge metrics. These results prove that it is optimal for efficiently automating monitoring surveillance system task at construction sites.

RFM 기법과 연관성 규칙을 이용한 개인화된 전자상거래 추천시스템

진병운(Byeong-Woon Jin),조영성(Young-Sung Cho),류근호(Keun-Ho Ryu) 한국컴퓨터정보학회 2010 韓國컴퓨터情報學會論文誌 Vol.15 No.12

이 논문은 RFM 기법과 연관성 분석을 이용한 개인화된 전자상거래 추천 시스템을 제안한다. 제안된 전자상거래 추천시스템은 사용자의 평가 자료에 의존하지 않고 묵시적인(Implicity)방법을 이용하여 고객정보와 구매이력 정보를 기반으로 RFM(Recency, Frequency, Monetary) 기법을 이용한 고객 세분화와 교차판매(cross-sell)관계를 찾는 연관성 분석을 이용한 개선된 시스템이다. 또한 고객군별 구매특성 분석을 통하여 효율적인 마케팅 전략과 고객관계관리(CRM: Customer Relationship Management)방법을 제시한다. 현업에서 사용하는 데이터 셋을 구성하여 실험 및 평가를 통해서 효용성을 입증 및 평가하여 일대일 웹 마케팅을 실현하였다. This paper proposes the recommendation system which is advanced using RFM method and Association Rules in e-Commerce. Using a implicit method which is not used user's profile for rating, it is necessary for user to keep the RFM score and Association Rules about users and items based on the whole purchased data in order to recommend the items. This proposing system is possible to advance recommendation system using RFM method and Association Rules for cross-selling, and also this system can avoid the duplicated recommendation by the cross comparison with having recommended items before. And also, it's efficient for them to build the strategy for marketing and crm(customer relationship management). It can be improved and evaluated according to the criteria of logicality through the experiment with dataset collected in a cosmetic cyber shopping mall. Finally, it is able to realize the personalized recommendation system for one to one web marketing in e-Commerce.

건설 현장 CCTV 영상에서 딥러닝을 이용한 사물 인식 기초 연구

강경수 ( Kang Kyung-su ),조영운 ( Cho Young-woon ),류한국 ( Ryu Han-guk ) 한국건축시공학회 2020 한국건축시공학회 학술발표대회 논문집 Vol.20 No.2

The construction industry has the highest occupational fatality and injury rates related to accidents of any industry. Accordingly, safety managers closely monitor to prevent accidents in real-time by installing surveillance cameras at construction sites. However, due to human cognitive ability limitations, it is impossible to monitor many videos simultaneously, and the fatigue of the person monitoring surveillance cameras is also very high. Thus, to help safety managers monitor work and reduce the occupational accident rate, a study on object recognition in construction sites was conducted through surveillance cameras. In this study, we applied to the instance segmentation to identify the classification and location of objects and extract the size and shape of objects in construction sites. This research considers ways in which deep learning-based computer vision technology can be applied to safety management on a construction site.

주거지역의 외부소음현황 및 규제기준에 관한 연구

오양기(Oh Yang-Ki),조영운(Cho Young-Woon),주문기(Chu Mun-Ki) 한국건축친환경설비학회 2010 한국건축친환경설비학회 논문집 Vol.4 No.1

Due to the expansion of residential area and redevelopment of the city, the industrial area tends to be changed into residential area. It is often the case that only a part of the industrial area is changed to residential area while the other part remains as industrial area. There are complaints and even violent activities from the residents of changed residential area against the noise sources in the remained part of industrial area. while the noise emission level of the factories in the industrial area are keeping the emission standard of noise and vibration(Article No. 8) noticed from Ministry of Environment , it sometimes still exceed the regulation scheme of residential noise environment noticed by Ministry of Land, Transport and Maritime Affairs. In these basis, this study aims to check the changed residential area has a proper noise environment and to confirm the related regulations on noise performance have appropriate standards.

아파트 건설 현장 작업자 특징 추출 및 다중 객체 추적 방법 제안

강경수 ( Kang Kyung-su ),조영운 ( Cho Young-woon ),류한국 ( Ryu Han-guk ) 한국건축시공학회 2021 한국건축시공학회 학술발표대회 논문집 Vol.21 No.1

The construction industry has the highest occupational accidents/injuries among all industries. Korean government installed surveillance camera systems at construction sites to reduce occupational accident rates. Construction safety managers are monitoring potential hazards at the sites through surveillance system; however, the human capability of monitoring surveillance system with their own eyes has critical issues. Therefore, this study proposed to build a deep learning-based safety monitoring system that can obtain information on the recognition, location, identification of workers and heavy equipment in the construction sites by applying multiple-object tracking with instance segmentation. To evaluate the system's performance, we utilized the MS COCO and MOT challenge metrics. These results present that it is optimal for efficiently automating monitoring surveillance system task at construction sites.

냉각수로 하천수를 이용하는 열교환 시스템내 Fouling 형성에 관한 연구

성순경(Sun-Kyung Sung),서상호(Sang-Ho Suh),노형운(Hyung-Woon Roh),조영일(Young-Il Cho) 대한기계학회 2003 대한기계학회 춘추학술대회 Vol.2003 No.4

Scale is formed when hard water is heated or cooled in heat transfer equipments such as heat<br/> exchangers, condensers, evaporators, cooling towers, boilers, and pipe walls. When scale deposits in a<br/> heat exchanger surface, it is traditionally called fouling. The objective of the present study is to<br/> investigate the formation of fouling in a heat exchanging system. A lab-scale heat exchanging system is<br/> built-up to observe and measure the formation of fouling experimentally. Water analyses are conducted<br/> to obtain the properties of HAN river water. In the present study a microscopic observation is<br/> conducted to visualize the process of scale formation. Hardness of HAN-river water is higher than that<br/> of tap water in Seoul.

Lab - Scale 판형열교환 시스템에서 가시화를 이용한 Fouling Mechanism 해석

성순경(Sun Kyung Sung),서상호(Sang Ho Suh),노형운(Hyung Woon Roh),조영일(Young Il Cho) 대한설비공학회 2003 대한설비공학회 학술발표대회논문집 Vol.2003 No.-