• Sleep Medicine and Psychophysiology
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• v.11 no.1
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• pp.37-43
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• 2004

Objective: The purpose of this paper is to study the possible differences in clinical and polysomnographic findings, depending on the presence or absence of subjective complaints of abnormal sleep behavior, in patients with RWA on polysomnography. Method: We reviewed patient records and polysomnographic data of patients referred to the Sleep Laboratory at Seoul National University Hospital from June 1996 through October 2002. We defined the manifest RBD group (n=32) as patients having both complaints of abnormal sleep behavior and RWA on polysomnography. The latent RBD group (n=20) consisted of patients who exhibited RWA on polysomnography but did not complain of abnormal sleep behavior. The clinical characteristics and polysomnographic findings between the two groups were compared and analyzed. Results: Fifty-two subjects had RWA, as detected by polysomnography (42 males and 10 females, mean age of $55.1{\pm}19.1\;years$). Subjects in the manifest RBD group were significantly older than those in the latent RBD group ($61.59{\pm}13.5$ vs. $44.70{\pm}2.76\;years$, independent t-test, p<0.01). More subjects in the manifest RBD group exhibited abnormal REM behavior on polysomnography than did subjects in the latent RBD group (81.3 vs. 50.0%, Fisher's exact test, p<0.05). No significant differences between the groups were found in the prevalence of brain disorders and primary sleep disorders, gender proportion, and sleep architecture. Conclusion: No difference in sleep architecture was found between the manifest and the latent RBD groups. Only age and the presence of abnormal sleep behavior on polysomnography differentiated the two groups. We suggest that RWA on polysomnography without complaints of abnormal sleep behavior may be early manifestation of manifest RBD. Attention to RWA on polysomnography is necessary to help prevent full-blown RBD from developing.

• Korean Journal of Culture and Social Issue
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• v.23 no.4
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• pp.475-495
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• 2017

The present study aimed to understand young adult women's disordered eating symptoms with materialism and pathological celebrity worship. Specifically, we hypothesized that pathological celebrity worship and internalization of sociocultural attitudes towards appearance would mediate the relationship between materialism and disordered eating symptoms among young adult women. A total of 601 female college students participated in this study. As hypothesized, we found that materialism predicted pathological celebrity worship and increased internalization of sociocultural attitudes towards appearance, which in turn, led to a higher level of disordered eating symptoms. Our findings suggest that young adult women's disordered eating behaviors should be understood as a sociocultural phenomenon rather than as an individual woman's personal issue.

• Annual Conference of KIPS
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• 2014.04a
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• pp.724-726
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• 2014

본 논문에서는 범죄 발생 전 빠른 상황판단과 효과적인 의사결정을 위한 방법으로 이상 행동을 분류, 분석하여 이상행동 패턴을 발견하고 이에 따라 발생 전 상황을 예상할 수 있는 예측하는 모델을 제시하였다. 이러한 행동분석과 패턴예측 모델은 CCTV로 부터 수집된 데이터를 단계별 DB를 통해 빠르고 정확한 분석할 수 있고, 과거에 축적 및 분석된 데이터를 유사한 상황에 직면했을 때 사전에 예방하기 위한 유용한 도구로 활용이 가능할 것이다.

• Journal of Korean Home Economics Education Association
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• v.27 no.1
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• pp.67-83
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• 2015

The purpose of this study was to explore the levels of ethical consumptions and related variables on ethics of adolescents as consumers. This subjects were 552 middle and high school students. The research results are summarized as follows. 1. The scores to measure ethical consumptions level of the adolescents was ranged from 2.87 to 3.08, which were relatively low. 2. The ethical consumptions(fair-trade product consumption, donation and giving, local consumption and eco-friendly consumption) in demographic variables were found to have significant differences depending on their religion, perceived social class, father's education and mother's education. 3. The result of hierarchical regression analysis indicated that consumer education experience, the eco-friendly values, materialism, saving, experiencing mass media on affecting the fair-trade product consumption. The major variables affecting the ethical consumptions in the donation and giving were materialism, consumer education experience, experiencing mass media and the eco-friendly values. The significant variables affecting the local consumption were the eco-friendly values, consumer education experience, materialism, experiencing mass media and saving. The major variables affecting the eco-friendly consumption were the eco-friendly values materialism.

• Journal of the Korean Data and Information Science Society
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• v.27 no.1
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• pp.1-8
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• 2016

In the recently, violent crime and accidental crime has been generated continuously. Consequently, people anxiety has been heightened. The Closed Circuit Television (CCTV) has been used to ensure the security and evidence for the crimes. However, the video captured from CCTV has being used in the post-processing to apply to the evidence. In this paper, we propose a flexible multi-level models for estimating whether dangerous behavior and the environment and context for pedestrians. The situation analysis builds the knowledge for the pedestrians tracking. Finally, the decision step decides and notifies the threat situation when the behavior observed object is determined to abnormal behavior. Thereby, tracking the behavior of objects in a multi-region, it can be seen that the risk of the object behavior. It can be predicted by the behavior prediction of crime.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.4
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• pp.505-516
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• 2018

The purpose of the present study was to examine the mediating effect of self-concealment on the relationship between self-critical perfectionism and disordered eating behavior. Toward this aim, 348 participants responded to the measures of self-critical perfectionism, self-concealment and disordered eating behavior. Correlation analysis revealed that self-critical perfectionism was positively correlated with self-concealment and disordered eating behavior. In addition, self-concealment was positively correlated with disordered eating behavior. Structural equations analysis found that the relationship between self-critical perfectionism and disordered eating behavior had a significant partial mediating effect on self-concealment, meaning that self-critical perfectionism increased disordered eating behavior through high levels of self-concealment. This finding suggests that individuals who place high standards on themselves, and feature fear of negative evaluation from others, are at greater risk for disordered eating behavior. Based on this finding, we discussed suggestions for future research and clinical implications.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2023.11a
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• pp.211-214
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• 2023

본 연구의 목적은 안전행동과 사고 발생을 예측하고 관리하기 위해 안전성향검사 도구를 개발하고 타당도를 검증하는 것이었다. 안전 심리 분야에서 근로자의 안전 행동에 영향을 미치는 주요 변인으로 안전 리더십과 안전 문화에 대한 연구들이 많이 진행되어 왔다. Lewin에 따르면 Behavior = Person * Environment으로 환경은 물리적 환경(기계, 장비 등)과 심리-사회적(psyco-social) 환경(안전 리더십/문화)으로 구분할 수 있다. 하지만 국내의 경우 근로자 개인 특성이 안전 수행에 미치는 영향에 대한 연구는 부족하였다. 개인 특성 중 일관되게 행동에 영향을 미칠 수 있는 변인이 성격이고, Lee 등(2018)은 개인 성격이 안전/불안전 행동에 영향을 미칠 확률은 35% 이상이며, 불안전 행동으로 한정해 보면 50% 이상이라고 하였다. 그리고 불안전한 행동으로 인한 사고는 비교적 소수의 직원에 의해 발생한다고 하였다(Clarke & Robertson 2008). 따라서 안전/불안전 행동을 예측할 수 있는 성격 특성을 검증하여, 직원 선발이나 재직자 코칭에 활용한다면 산업 재해 예방에 도움이 될 수 있다

• Korean Security Journal
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• no.43
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• pp.99-120
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• 2015

This research aimed at analyzing health behavior of private security guards applying planned behavioral theory. In order to achieve the above purpose, this research conducted purposive sampling on the security guards who live in Seoul Gyeonggi region. Excluding unfaithful response and abnormal outlier, material of 187 persons was used for analysis. As the concrete analysis method, multiple regression analysis and logistic regression analysis to presume exploratory factory analysis(EFA), Polyserial Exploratory Factor Analysis(EFA), Polyserial correlation analysis, and causal relationship between each variable. The result can be summarized as follows. First, attachment, attitude subjective standard on behavior, perceived behavioral control appeared to positively influence affirmative(+) effect on health behavior continuance will. Second, attachment had no meaningful influence attitude toward behavior. Third, attachment had affirmative(+) influence on health behavior continuance will. Fourth, perceived behavioral control had affirmative(+) influence on realization of health behavior, possibility of practising health behavior increased by about 62.9% when perceived behavioral control increased by 1 unit.

• Environmental Analysis Health and Toxicology
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• v.24 no.4
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• pp.321-332
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• 2009

본 연구의 목적은 다이아지논(Diazinon; O, O-diethyl O-[6-methyl-2 (1-methylethyl)-4-pyrimidinyl] phosphorothioate)에 노출된 모델 생물체(송사리)의 행동변화와 관련된 분자생물학적 기전 규명을 통하여 비정상적 행동의 모니터링을 위한 생물지표(biomarker)를 개발하는데 있다. 이를 위해 우선 suppression subtractive hybridization (SSH) 및 DNA microarray 기법을 활용하여 다양한 유전자를 스크리닝하였다. 다이아지논에 노출시킨 송사리에서 발현의 차이가 나는 상향 조절된 유전자 97개 (알려지지 않은 유전자 27개 포함)와 하향 조절된 유전자 99개 (알려지지 않은 유전자 60개 포함)를 동정 하였고 이들 중 이상행동과 관련되는 것으로 보이는 유전자 10개 (상향조절 5개, 하향조절 5개)를 선발하였다. 이들 중에서 primer 제작이 잘된 beta-1, Orla C3-1, parvalbumin 및 apolipoprotein E을 선발하여 그 유전자 발현을 real-time PCR 기법을 사용하여 정량적으로 모니터링 하였다. Orla C3-1, parvalbumin 및 apolipoprotein E는 고농도의 다이아지논 처리(1000 ppb; 24 h)에서 그 발현이 억제됨이 관찰되었다. 다이아지논 처리 시 신경질환 (알츠하이머 병 및 다운신드롬)에 관련된 apolipoprotein E와 근육세포의 유연화에 작용하는 parvalbumin 등의 발현억제는 송사리의 인지능력 교란 및 근육세포의 경직 등을 각각 유도하여 송사리의 비정상적 행동을 야기하는 것으로 판단되었다. 따라서 이들 생물지표는 신경독성물질에 의한 송사리 및 기타 어류의 이상행동의 변화의 감지에 활용될 수 있을 것으로 사료된다.

• Journal of the Korea Society of Computer and Information
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• v.27 no.10
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• pp.1-9
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• 2022

In this paper, we propose the Deep Learning-Based Companion Animal Abnormal Behavior Detection Service, which using video and sensor data. Due to the recent increase in households with companion animals, the pet tech industry with artificial intelligence is growing in the existing food and medical-oriented companion animal market. In this study, companion animal behavior was classified and abnormal behavior was detected based on a deep learning model using various data for health management of companion animals through artificial intelligence. Video data and sensor data of companion animals are collected using CCTV and the manufactured pet wearable device, and used as input data for the model. Image data was processed by combining the YOLO(You Only Look Once) model and DeepLabCut for extracting joint coordinates to detect companion animal objects for behavior classification. Also, in order to process sensor data, GAT(Graph Attention Network), which can identify the correlation and characteristics of each sensor, was used.