• Korean Journal of Biological Psychiatry
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• v.6 no.1
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• pp.21-29
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• 1999

Traumatic Brain Injury(TBI) of any severity can result in broad and persisting biopsychosocial sequelae. Depression after TBI occur at a greater frequency than in the general population, with estimates approaching 25% to 50% for major depression, and 155 to 30% for dysthmia. Acute onset depressions are related to lesion location and may have their etiology in biological response of the injured brain, whereas delayed onset depressions may be mediated by psychosocial factors, suggesting psychological reactions as a possible mechanism. Anxious depressions are associated with right hemisphere lesions, whereas major depressions alone are associated with left dorsolateral frontal and left basal ganglia lesions. However, there is insufficient information to postulate a specific neuroanatomic model for TBI-related depression.

• Korean Journal of Construction Engineering and Management
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• v.19 no.3
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• pp.11-22
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• 2018

Existing efforts to reduce total egress time actually focused on reducing travel time. However, consideration to reduce perception time or response time was insufficient although the ratio of travel time is one-third of total egress time and situations which the safety cannot be ensured by only reducing travel time were aroused. Therefore, the concept of disaster information, which could reduce both perception time and response time got attention To analyze the effect of disaster information on occupant behaviour, this study identified a relationship between 10 major disaster information and 3 occupant behaviour factors in terms of reducing egress time. By referring the relationship, this study conducted an virtual egress experiment with survey on 4 cases, the elderly, intellectual disabled, hearing disabled and visual disabled, to identify disaster information which reduce total egress time effectively. Finally, by analyzing the experiment result, this study proposed the process of disaster information effect on occupant behaviour as complementing insufficient occupant behaviour to ensure the minimum level of safety and maximizing relatively high occupant behaviour to ensure enough level of safety. The results are expected to account for relationship between disaster information and occupant behaviour with more explanatory power in terms of egress time. With further studies of disaster information and group behaviour, these series of studies could provide basic references for disaster information and occupant behaviour.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.5 no.2
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• pp.166-173
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• 2002

Purpose: Recurrent abdominal pain (RAP) is common, affecting between 7% and 25% of school-aged children and young adult. This study was designed to assess the relationship between RAP and depressive trends in school-aged children. Methods: In 1999, We surveyed 1,181 elementary school children (566 boys and 615 girls) whose ages ranged from 9 to 12 years. The degree of depression was compared between the group with RAP and normal control group without RAP according to Korean Children's Depression Inventory (CDI) of Kovacs and Beck. Results: The number of the group with RAP was significantly higher in female (25.7%) than in male (18.9%). The most common site of abdominal pain was periumbilical. The mean depression score in the group with RAP was higher than that of the control group. The depression score was significantly higher in the group with RAP who has frequently pain and additional symptoms. The depression score was significantly higher in the group with RAP who prefered to play alone, did not enjoy going to school and had few friends than in the group with RAP who had a lot of friends, had active and meticulous characters. The depression scores were not significantly different according to the duration of abdominal pain, the onset time of pain, and the day of pain in the group with RAP. Conclusion: The depression score of the group with RAP was higher than that of normal group. So, there is relatively a specific association between childhood RAP and depression in school aged children. It is good for physicians to consider psychological support in the treatment of childhood RAP.

• Korean Journal of Ecology and Environment
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• v.41 no.1
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• pp.66-72
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• 2008

Total metals, soluble metals, and bioavailable metals were monitored at the sediments of urban lakes located in Seoul, Korea during spring season 2006. The metals measured were zinc, arsenic, chromium, copper, nickel, and cadmium, which are known to be toxic to human health and ecosystems. The main sources of heavy metals in the lakes were urban runoff and atmospheric deposition associated with air pollution in urban areas. Extraction by using a weak electrolyte solution (0.1 M $Ca(NO_3)_2$) was used to predict bioavailability of the metals. Among the six heavy metals studied, copper was the most bioavailable, based the weak electrolyte extraction techniques. Since metal toxicity is related to metal bioavailability, the results were consistent with the high ecotoxicity of copper, compared to other heavy metals. Overall results suggest that there was no direct relationship between total and bioavailable metal concentration, although zinc, copper and cadmium show some relationships.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2010.11a
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• pp.74-77
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• 2010

다시점 비디오 부호화기(MVC)는 다양한 블록 크기 기반의 움직임 추정과 변이 추정을 수행한다. 또한 2개 이상의 다중 참조 영상 움직임 추정 기술을 사용한다. 이 기술들을 통해 MVC는 높은 부호화 효율을 얻을 수 있지만 실제 적용하기에는 너무 높은 부호화 복잡도가 걸림돌로 작용한다. 본 논문에서는 MVC의 부호화 복잡도를 감소시키기 위하여 효율적인 참조 영상 선택 알고리즘을 제안한다. 부호화에 사용된 참조 영상들은 인접한 블록들 간에 높은 상호 연관성을 가지므로, 부호화된 이웃 블록들의 참조 영상 정보를 기반으로 현재 블록의 참조 영상을 효율적으로 선택할 수 있다. 실험을 통해 제안된 알고리즘이 부호화 시간을 기존의 MVC에 비해 최대 73.3%, 평균 57.3% 감소시키며 부호화 효율의 감소는 무시할 만한 수준임을 확인하였다.

• Proceedings of the Korea Multimedia Society Conference
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• 2002.05c
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• pp.180-185
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• 2002

본 논문에서는 키워드를 입력해 검색된 영상들을 유사한 특징을 갖는 소수의 그룹으로 그룹핑하고 각 그룹을 대표하는 대표영상을 추출하여 우선적으로 사용자에게 보여주고 필요에 따라 나머지 영상들을 단계적으로 서비스할 수 있는 방안을 제시한다. 영상 그룹핑을 위한 각 영상의 특징은 영상에 포함된 중심 객체를 사용하여 추출한다. 이를 위해 검색 키워드는 객체와 연관성이 있는 단어로 제한하여 영상을 검색하며 검색된 영상으로부터 중심 객체를 추출할 수 있는 객체 추출 방법을 활용하였다. 각 영상으로부터 추출된 중심 객체에 대한 특징 벡터는 칼라 분포를 이용한다. 영상 그룹핑은 칼라분포로 표현되는 특징공간에서의 밀집도를 조사하여 높은 밀도로 모여있는 영역별로 추출하여 동일한 그룹으로 분류하였다. 대표 영상은 분류된 그룹에서 가장 밀집도가 높은 영상으로 선택된다. 한편, 얼굴이 포함된 영상은 사전에 따로 분류하고 얼굴 크기 및 얼굴 수에 따라 영상을 그룹핑하여 각 그룹에 대한 대표 영상을 선정한다. 본 연구에서 제안한 방법은 사용자에게 모든 검색 결과를 일괄적으로 보여주는 것에 비해 보다 빠른 시간 내에 사용자가 원하는 영상을 편리하면서도 효과적으로 확인할 수 있는 방법을 제공해 줄 수 있을 것으로 기대한다.

• Journal of Internet Computing and Services
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• v.9 no.6
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• pp.141-153
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• 2008

E-learning is a new paradigm of education using Internet media. E-learning is rapidly expanding, since it is not restricted by time and space. However, due to the lack of standardization in e-learning, learning contents are developed redundantly. SCORM has been proposed to address this standardization problems. The mere learning contents are shared, the higher the reusability of contents becomes. Therefore, it is needed to develop methods or tools to help educators or content producers to create a learning course easily. In this paper, we propose an association method that could help educators or content producers to efficiently generate learning courses for a subject. The association method, a learning course generation method suggested by this paper, makes use of existing learning courses and learning contents to create new learning courses suitable to a subject. The association method analyzes statistical information of leaning objects derived from existing learning courses and measures coherence between learning objects to create a learning course. The association method suggested by this paper not only supports educators or content producers for easy generation of learning course but also offers a guideline for developing learning courses.

• Journal of Korea Port Economic Association
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• v.37 no.2
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• pp.119-131
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• 2021

Energy is an essential element in economic activity and people's lives, an important resource used by various industries, and the financialization of commodity markets has led to the growing importance of crude oil turning into the same asset as other assets. Accordingly, studies analyzing the correlation between energy prices and investor sentiment explain that investor sentiment affects oil prices through economic factors and speculation. In this study, we wanted to analyze whether the impact of the most representative changes in oil prices affects investor decision making, affecting investor sentiment, and applying wavelet consistency analysis to determine how energy prices relate to investor sentiment. Studies show that policies should be focused on policy and market changes because energy prices differ by time scale and investment sentiment should be more influential in the long term than in the short term.

• The KIPS Transactions:PartD
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• v.12D no.4 s.100
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• pp.657-662
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• 2005

The Non-Sampling Error can happen any time by means of the intended or unintended error by the interviewer or respondent, but it is very difficult to find the error in survey database because it can hardly be computed mathematically and systematically. Until now, we have found it accidentally through the simple relation between the items or through the inspection from the random field. Therefore we introduced an heuristic methodology that can detect the interviewer's error by statistical decision-making or data mining techniques with a case study. It will be helpful so as to improve the statistical duality and provide efficient field management for the supervisor.

• Proceedings of the Korea Water Resources Association Conference
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• 2016.05a
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• pp.528-528
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• 2016

신뢰성 있는 수문순환모의를 위해서 다양한 수문모형이 사용되고 있다. 그 중 대표적인 수문모형인 강우-유출 모형은 유역에 발생한 강우에 반응하는 유출특성을 평가하는데 이용된다. 강우-유출 과정은 강우량, 유출량, 도달시간 및 토양수분 등과 연관된 매개변수들의 최적화 과정을 통해서 추정된다. 하지만 동일한 강우사상이라도 다양한 매개변수들로 인하여 상당히 다른 유출패턴을 나타내기 때문에 수문순환 과정을 정확히 모의하기 위해서 강우-유출 분석시 불확실성 분석이 필수적으로 요구된다. 불확실성 분석은 통계학에서도 쉽지 않은 연구내용으로서 가장 진보된 불확실성 분석기법인 Bayesian 기법은 매개변수의 추정과 불확실성 분석을 동시에 수행할 수 있는 방법으로 매개변수들은 사후분포(posterior distribution)로 귀결되며 최종적으로 확률분포형의 형태를 가진다. 본 연구에서는 국내외적으로 널리 사용되는 단기유출 모형 HEC-1 모형에 Bayesian 기법을 연계하여 대상유역의 도달시간, 저류상수 및 CN No. 최적화 및 불확실성 평가를 수행하였다. 연구결과 Bayesian 기법을 통한 매개변수 최적화 결과는 안정적인 수렴결과를 확인하였으며, 확률강우량을 입력자료로 사용하여 산정된 빈도별 홍수수분곡선의 불확실성 분석을 통하여 향후 수공구조물의 위험도 분석 및 수자원계획 수립시 유용한 자료로 사용될 것으로 판단된다.