• Korean Journal of Health Education and Promotion
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• 제3권1호
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• pp.21-37
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• 2001

Over the past few decades, dramatic socioeconomic developments have resulted in the change of epidemiological transition from infectious to chronic diseases as leading causes of death in Korea$^{1)}$ . Behavioral factors, particularly smoking, diet and activity patterns, alcohol consumptions are among the most prominent contributors to mortality.(omitted)

• 대한예방의학회:학술대회논문집
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• 대한예방의학회 1998년도 제50차 추계 학술대회 연제집
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• pp.317-318
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• 1998

• 감성과학
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• 제11권4호
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• pp.629-636
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• 2008

현재 진행되고 있는 대부분의 로봇 연구는 특정한 목적을 수행함에 있어서 기능적으로 안정적이고 원활한 움직임을 보이는 것과 더불어 사용자가 원하는 정보를 적절하게 전달하는 것에 초점을 맞춰 진행하고 있다. 본 논문에서는 로봇의 작업수행 상태가 아닌 외부로부터 입력 값이 없는 대기상태의 행동패턴을 제시하여 보다 자연스러운 인간-로봇 상호작용을 제시하고자 하였다. 로봇의 대기상태 행동패턴을 디자인함에 있어서 비디오 판독 방법을 선택하였고, 실제 서비스업에 종사하는 10명의 사람들을 비디오로 녹화하여 사람들과 상호작용이 없는 대기상태의 반복적인 행동패턴을 관찰하였다. 각각의 비디오 데이터로부터 총 21개의 반복적 행동을 기록하였고, 비슷한 항목들을 통합하여 최종적으로 11개의 행동패턴을 추출하였다. 추출된 패턴들 가운데 6개의 대표적인 행동들을 EEEX라는 로봇에 적합하도록 인코딩 작업을 하였고, 이것들이 사람들에게 올바르게 인식되는지를 확인하기 위하여 검증실험을 수행하였다. 사람들은 대부분의 로봇 행동패턴을 실험에서 의도한 바와 같이 인식하였으나 로봇의 하드웨어 특성상 몸과 팔의 움직임에서 약간의 혼동 요소가 있었다. 추후 실험을 통해 EEEX를 대형 마트의 입구에 실제로 배치하여 대기 중에 중립행동을 보일 때와 보이지 않을 때의 손님의 관심도 차이를 조사해보고자 한다.

• 한국건설관리학회논문집
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• 제19권1호
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• pp.21-31
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• 2018

고령자 가구의 급격한 증가는 전 세계적 추세이며 의료비 등 사회적 비용 또한 급격히 증가할 것으로 예상된다. 치매와 같은 노인성 기능 질환의 경우 고령자의 일상생활 활동 (ADL) 패턴을 상시적으로 모니터링하고 평소와 다르거나 비정상적인 패턴이 발생하는 경우 이를 치매 조기진단의 근거로 활용할 수 있다. 그러나 사생활 침해의 우려가 큰 기존의 직접적 센싱 방식과 달리 간접적 센싱 방식 (Non-intrusive approach)을 활용하여 재실자의 최소한의 정보 (Coarse-grained data)만을 수집하고, 이를 통해 활동 정보를 추출하는 연구는 거의 이루어지지 않았다. 또한 추출된 활동 및 활동패턴을 이해하기 위해 활동의 맥락적 정보를 시각화하는 방법 또한 추가적인 연구가 필요하다. 이를 위해 본 연구에서는 재실자의 정보 중 시 공간 데이터 로그만을 활용하여 재실자의 수행 활동을 추출하고 컨텍스트화 된 행동 정보를 공간-활동 지도 (Space-Activity Map)로 시각화한다. 본 연구는 재실자의 일상생활 활동 패턴을 추출하는 데 기반이 되는 연구로서, 향후 고령자를 위한 상시적인 건강 모니터링 기술의 도입에 기여할 수 있다.

• 한국지능시스템학회논문지
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• 제7권4호
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• pp.9-17
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• 1997

본 논문에서는 유해 물질에 인간보다 더욱 민감하게 반응하는 어류의 움직임을 분석하여 수질의 상태를 감시하는 시스템에 대하여 기술한다. 자동수질감시 시스템(Water Quality Inspection System, WQIS)은 CCD 카메라를 이용하여 컬러 영상을 획득하고, 획득된 영상에서 어류들의 영역을 분할한다음, 몇개의 이전 프레임과 현재 프레임에서 얻어진 각각의 어류들의 위치를 이용하여 어류의 움직임을 묘사한다. 본 논문에서는 어류 행동 패턴을 반영하는 다섯 가지 유형의 특징을 정의하였다. 부유성(floatness), 회피성(fledness), 군집성(clusterness), 확산성(diffusiveness), 이동성(mobility), 이와같은 어류의 행동 패턴을 반영하는 특징들을 이용하여 퍼지 추론을 수행하고 그 결과에 따라서 현재 유해물질이 유입되고 있는지 여부를 판단한다. 본 논문에서 기술되는 WQIS은 호수 관리, 폐수 관리, 하천 관리 등과 같은 분야에 적용되어 오염물질의 유입과 같은 환경사고를 사전에 예방하는 데 사용될 수 있으리라 본다.

• 간호행정학회지
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• 제19권1호
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• pp.28-38
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• 2013

Purpose: Human factor is one of the major causes of medication errors. The purpose of this study was to identify nurses' perception and experience of medication errors, examine the relationship of Dominance, Influence, Steadiness, Conscientiousness (DISC) behavior patterns and medication errors by nurses. Methods: A descriptive survey design with a convenience sampling was used. Data collection was done using self-report questionnaires answered by 308 nurses from one university hospital and two general hospitals. Results: The most frequent DISC behavioral style of nurses was influence style (41.9%), followed by steadiness style (23.7%), conscientiousness style (20.4%), and dominance style (14.0%). Differences in the perception and experience level of medication errors by nurses' behavioral pattern were not statistically significant. However, nurses with conscientiousness style had the lowest scores for in experience of medication errors and the highest scores for perception of medication errors. Conclusion: The results of this study show that identification of the behavior pattern of nurses and application of this education program can prevent medication errors by nurses in hospitals.

• 한국멀티미디어학회논문지
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• 제20권2호
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• pp.404-419
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• 2017

This study is to examine how middle and high school students vary in terms of good and bad usage of online games and how these factors have varying effects on their use of the internet as a whole. My focus is to study their behavioral patterns individually while playing internet-based online games. The results are as follows: First, 260 out of 390 subjects used the internet. Male students who are high school students with siblings, or preschool time game users were revealed to play online games more often rather than female students who are middle school students with no siblings, or non-preschool time game users. Secondly, the analysis of differences of good and bad usage of online games revealed that there is a significant correlation between gender and beginning age. Lastly, a thorough analysis of the average difference in terms of following the online game shutdown found that there is no significant correlation among the sub-groups. However, an analysis of the difference of the problematic game usage has shown that there is a significant difference in the heavy user group. This findings means that the students who don't follow the online game shutdown spend more time than those who do.

• 지역사회간호학회지
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• 제22권4호
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• pp.365-376
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• 2011

Purpose: The purpose of this study was to investigate the patterns of smoking relapse and to identify risk factors related to smoking relapse among those successful in smoking cessation at the smoking cessation clinics of public health centers. Methods: Data were collected from 1,705 six-month quitters and analyzed by the Kaplan-Meier analysis and the Cox proportional hazard model. Results: The rate of smoking relapse was 38.2% in 1 year, 44.4% in 2 years, and 47.8% in 5 years. The vast majority of relapse (62.3%) occurred within the first six months after quitting. The risk factors related to smoking relapse were age (HR 1.964: 95% CI 1.545, to 2.497), nicotine dependence (HR 1.293: 95% CI 1.087 to 1.539), problem drinking (HR 1.497: 95% CI 1.116 to 2.008), behavioral therapy type (HR 1.398: 95% CI 1.193 to 1.638), and nicotine replacement therapy type (HR 1.363: 95% CI 1.077 to 1.724). Conclusion: For reducing smoking relapse, it is necessary to develop a smoking relapse prevention program for the first six months after quitting and to strengthen behavioral therapy in the course of smoking cessations clinics.

• BMB Reports
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• 제55권5호
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• pp.238-243
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• 2022

Autism or autism spectrum disorder (ASD) is a behavioral syndrome characterized by persistent deficits in social interaction, and repetitive patterns of behavior, interests, or activities. The gene encoding Methyl-CpG binding protein 2 (MeCP2) is one of a few exceptional genes of established causal effect in ASD. Although genetically engineered mice studies may shed light on how MeCP2 loss affects synaptic activity patterns across the whole brain, such studies are not considered practical in ASD patients due to the overall level of impairment, and are technically challenging in mice. For the first time, we show that hippocampal MeCP2 knockdown produces behavioral abnormalities associated with autism-like traits in rats, providing a new strategy to investigate the efficacy of therapeutics in ASD. Ketamine, an N-Methyl-D-aspartate (NMDA) blocker, has been proposed as a possible treatment for autism. Using the MeCP2 knockdown rats in conjunction with a rat model of valproic acid (VPA)-induced ASD, we examined gene expression and ASD behaviors upon ketamine treatment. We report that the core symptoms of autism in MeCP2 knockdown rats with social impairment recovered dramatically following a single treatment with ketamine.

• Journal of Information Technology Applications and Management
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• 제26권1호
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• pp.21-38
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• 2019

This study starts from the question, "Are people of the age 60 and over equally 'old?' "As the aging population has rapidly become a global issue, it is a timely question to think about whether it is appropriate to classify people aged 60 and over as senior citizens monolithically based on their chronological age. Thanks to the advancement of medical technology and ever-increasing life expectancy, there may be more differences than we thought in terms of cognitive and behavioral patterns among the elderly population. In order to further investigate this question, this study focuses on technology acceptance behavior of 132 participants over the age of 60 towards a wearable healthcare device. The results show that there were interesting behavioral differences among participants depending on their cognitive capabilities. More specifically, participants with high cognitive capability (Superagers) consider the usefulness and the social aspects (social norm and image) of using wearable healthcare technology. Whereas for those with relatively low cognitive capability (non-Superagers), usefulness of using the technology was not a significant factor, and they mainly considered social norm and image. Our findings imply that the current monolithic application of chronological age to classify the elderly population should be carefully reconsidered because people aged over 60 years old may not always share homogeneous cognitive and behavioral patterns.