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중규모 기상모델(MM5/KMA)과 3세대 파랑모델(WAVEWATCH-III)로 계산된 한반도 주변해역의 2002년 월평균 해상풍과 파랑 분포 특성
서장원,장유순 한국해양학회 2003 바다 Vol.8 No.3
We have analyzed the characteristics of the monthly mean sea surface winds and wind waves near the Korean marginal seas in the 2002 year on the basis of prediction results of the sea surface winds from MM5/KMA model, which is being used for the operation system at the Korea Meteorological Administration and the third generation wave model, WAVEWATCH-III. which takes the sea surface winds derived from MM5/KMA model as the initial data. Statistical comparisons have been applied with both the marine meteorological observation buoy and the TOPEX/POSEIDON satellite wave heights data to verify the model results. The correlation coefficients between the models and observation data reach up to about 60-80%, supporting that these models satisfactorily simulate the sea surface winds and wave heights even at the coastal regions except for Chilbal-Do located very close to the land. Based on these verification results, the distributions of monthly mean sea surface winds, significant wave heights, wave lengths and wave periods around the Korean marginal seas during 2002 year have been represented. 기상청에서 현업 예보용으로 사용되는 중규모 기상 모델(MM5/KMA)의 해상풍 예측 결과와 이를 입력 자료로 제 3세대 파랑 모델(WAVEWATCH-III)을 적용하여 2002년 1년 동안의 한반도 주변해역의 해상풍과 파랑 특성을 분석하였다. 모델 결과의 검증을 위해서 해양기상 관측 부이의 관측 자료와 TOPEX/POSEIDON위성의 유의 파고 자료를 이용한 통계 비교 분석을 실시하였다. 관측 값과 모델 결과 사이에 약 60-80%의 상관성을 나타내었고, 연안에 가장 근접해 위치한 칠발도의 풍향을 제외하면, 연안 지역까지의 해상풍과 파고를 본 모델에서 잘 재현하고 있다고 분석되었다. 위의 검증 결과를 토대로 2002년 한반도를 포함한 동아시아 해역의 월평균 해상풍 및 유의파고, 파장, 파주기의 분포도를 제시하였다.
NFC를 이용한 스마트폰 상의 사회 공학적 공격 방지 기법 연구
서장원,이은영,Suh, Jangwon,Lee, Eunyoung 디지털산업정보학회 2015 디지털산업정보학회논문지 Vol.11 No.2
When people stands near someone's mobile device, it can easily be seen by others. To rephrase this, attackers use human psychology to earn personal information or credit information or other. People are exposed by social engineering attacks. It is certain that we need more than just recommendation for the security to avoid social engineering attacks. This is why I proposed this paper. In this paper, I proposed an authentication technique using NFC and Hash function to stand against social engineering attack. Proposed technique result is showing that it could prevent shoulder surfing, touch event information, spyware attack using screen capture and smudge attack which relies on detecting the oily smudges left behind by user's fingers. Besides smart phone, IPad, Galaxy tab, Galaxy note and more mobile devices has released and releasing. And also, these mobile devices usage rate is increasing widely. We need to attend these matters and study in depth.
Psychometric Properties of a Short Korean Version of the Revised Obsessive Intrusion Inventory
서장원,백민정,이미소,정주리,권석만 대한신경정신의학회 2015 PSYCHIATRY INVESTIGATION Vol.12 No.3
ObjectiveaaThe Revised Obsessive Intrusion Inventory (ROII) is a 52-item scale that evaluates obsessional intrusive thoughts. The aim of the present study was to validate a short, 20-item Korean version of the ROII (ROII-20). MethodsaaOf the 1125 participants who completed the ROII-20, 895 participants completed the scale to examine the factor structure of the scale. A subgroup of these participants (n=53) completed the scale twice to determine test-retest reliability. To establish external validity, 230 participants completed the scale and other questionnaires. ResultsaaExploratory factor analyses suggested a hierarchical model comprising two higher order factors of autogenous obsessions (resulting from aggressive thoughts and sexual thoughts) and reactive obsessions (resulting from thoughts about contamination, thoughts about accidents, and thoughts about dirt). Confirmatory factor analyses supported this model. The results indicated good internal consistency and test-retest reliability. External validity was supported by relationships with obsessive-compulsive symptoms and general distress. ConclusionaaThe ROII-20 presents good psychometric properties and may be considered as a promising instrument for measuring obsessional intrusions.