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      • KCI등재

        학교 범죄 위험성 평가를 위한 체크리스트 개발 연구 - 국내·외 학교시설 CPTED 평가지표 분석을 중심으로 -

        황성은,김진욱,유용흠,Hwang, Sung-Eun,Kim, Jin Wook,Yoo, Yong-Heum 한국교육시설학회 2016 敎育施設 Vol.23 No.1

        This research aims to securement of crime prevention for school violence and invasion from outside etc. For crime prevention efficiency secure, It has purpose for school current state comprehension and prevention essential elements deduction autonomously etc. Furthermore, school facility crime dangerousness evaluation checklist is looked for autonomous monitoring tools. This checklist made from analysis of frequency, importance and check availability of 6 native and foreign existing CPTED evaluation's 360 indexes. Then, 81 indexes was derived from analysis, and that indexs verified through focus group interview. Finally, total 47 articles checklist emerged with general details, external school, internal school, and school administrative managements. Through this checklist, school can select essential elements of the preferential crime prevention autonomously, and so it is expected to prompt improvement of crime dangerousness elements, school violence and reduction of crime rate.

      • KCI등재

        Symptom Aggravation in Restless Legs Syndrome during Menstrual Cycle

        황성은,신용원,정기영 대한수면연구학회 2019 Journal of sleep medicine Vol.16 No.2

        Objectives: The purpose of this study is to confirm restless legs syndrome (RLS) symptom aggravation during menstrual period and verify factors related to symptom aggravation. Methods: A total of 20 premenopausal female RLS patients were classified into two groups according to symptom aggravation during menstrual period (menstrual RLS group and non-menstrual RLS group). They answered a questionnaire including duration and quantity of menstruation, other medical conditions, and premenstrual syndrome symptoms. Laboratory tests including iron panel and hemoglobin levels were done. Results: Six out of 20 patients (30%) complained of symptom aggravation during menstrual period. RLS symptoms were aggravated by 40±33.47% compared to non-menstrual period in menstrual RLS group. One patient was taking additional medication for aggravated symptoms. Menstrual duration, quantity of menstrual bleeding showed no difference between menstrual RLS and non-menstrual RLS groups. On laboratory tests, two patients from non-menstrual RLS group were diagnosed with iron deficiency anemia. Serum iron levels, total iron binding capacity, serum iron saturation, and serum ferritin levels did not show difference between the two groups, while hemoglobin levels were significantly lower (13.8 vs. 12.4 g/dL) in non-menstrual RLS group (p=0.044). Conclusions: RLS symptoms aggravate during menstrual period in 30% of premenopausal RLS patients. Low ferritin levels were not related to menstrual RLS symptom aggravation. Further study is required to verify other factors such as hormonal fluctuations.

      • KCI등재

        보성 표준기상관측소자료를 활용한 국지예보모델 대기경계층 유형 비교 연구

        황성은,김병택,이영태,신승숙,김기훈 한국지구과학회 2021 한국지구과학회지 Vol.42 No.5

        Different physical processes, according to the atmospheric boundary layer types, were used in the Local Data Assimilation and Prediction System (LDAPS) of the Unified Model (UM) used by the Korea Meteorological Administration (KMA). Therefore, it is important to verify the atmospheric boundary layer types in the numerical model to improve the accuracy of the models performance. In this study, the atmospheric boundary layer types were verified using observational data. To classify the atmospheric boundary layer types, summer intensive observation data from radiosonde, flux observation instruments, Doppler wind Light Detection and Ranging(LIDAR) and ceilometer were used. A total number of 201 observation data points were analyzed over the course 61 days from June 18 to August 17, 2019. The most frequent types of differences between LDAPS and observed data were type 1 in LDAPS and type 2 in observed(each 53 times). And type 3 difference was observed in LDAPS and type 5 and 6 were observed 24 and 15 times, respectively. It was because of the simulation performance of the Cloud Physics such as that associated with the simulation of decoupled stratocumulus and cumulus cloud. Therefore, to improve the numerical model, cloud physics aspects should be considered in the atmospheric boundary layer type classification. 대한민국 기상청에서 사용하고 있는 UM (Unified Model, UM) 모델의 국지예측시스템(Local Data Assimilation and Prediction System, LDAPS)은 수치모델 모의 시 대기경계층 유형에 따라 물리과정을 다르게 계산하기 때문에 이과정을 검증하는 것은 모델의 정확도 향상에 중요하다. 따라서, 본 연구에서는 수치모델의 대기경계층 유형을 관측자료를 기반으로 검증하였다. 관측자료를 기반으로 대기경계층 유형을 분류하기 위해서 보성 표준기상관측소에서 수행한 여름철 집중관측자료(라디오존데, 플럭스관측장비, 도플러 라이다, 운고계)를 활용하였으며, 2019년 6월 18일 부터 8월 17 일 까지 61일 동안에 총 201회의 관측자료를 분석하였다. 또한 관측자료와 수치모델 결과가 다른 경우를 보면, 관측자료를 기반으로 한 대기경계층 유형 분류 결과에서 2유형으로 분류되는 사례가 수치모델에서는 1유형으로 분류된 사례가 53회로 가장 많이 나타났다. 그 다음으로는 관측자료를 기반으로 한 대기경계층 유형 분류 결과에서 5유형과 6유형으로 분류되는 사례가 수치모델에서는 3유형으로 분류된 사례가 많이 나타났다(각각 24회, 15회). 관측결과와 수치모델모의 결과가 일치하지 않은 사례는 모두 층적운 접합 여부 및 적운 모의 등 수치모델의 구름물리 부분의 모의 성능에기인하여 발생한 것이라고 분석된다. 따라서, 대기경계층 유형 분류의 구름물리과정의 모의 정확도를 개선하면 수치모델 성능이 향상 될 것으로 판단된다.

      • 아파트 주동 출입구의 물리적 요소가 거주자 범죄불안감에 미치는 영향 분석 연구

        황성은 대한건축학회 2021 대한건축학회 학술발표대회 논문집 Vol.41 No.1

        The purpose of study is analyzing fear-of-crime according to physical factors of apartment entrance, and presenting that affecting factors about fear-of-crime. For that, study established whole 7 physical factors about aspects of CPTED for applying apartment entrance, and analyzed results of survey about fear-of-crime for 395 peoples of 369 apartment complexes. In conclusion, residents who lived in apartment which had been secured factors such as ① pillar of apartment gate, ② design factors(colored and etc.), ③ vehicle access control, ④ installation of CCTV, ⑤ installation of lights, ⑥ securing straight line of human traffic up to elevator hall affected to reduce fear-of-crime

      • KCI등재

        A Study of Comparison of Temperature Seasons and Biotic Seasons in Jeonnam Region

        황성은,류찬수 조선대학교 기초과학연구원 2013 조선자연과학논문집 Vol.6 No.2

        Korea, which is located in the middle-latitude area of the northern hemisphere, has four seasons. These seasons can be classified based on their months, mean temperatures, biology and natural phenomena. In this study, climatic changes were identified by biotic and temperature seasons, changing trends were compared by season, and the appropriateness of the biotic phenomena for the biotic season classification was examined. The data for this study included the mean temperatures, and biology · phenomenon observation dates, which had been observed for 38 years from the ASOSs in seven Gwangju and Jeonnam regions. Limitations were found in the classification of the temperature and biotic seasons. Especially in the case of the biotic season based on a single life, the points of the first sighting and the initial sound fluctuated so much that the accuracy of the results was not guaranteed. Therefore, the life species had to be selected subject to detailed verification and accurate specifications, and to be applied to the meteorological phenomena. In addition, there were lives in the standard biology that could no longer be observed because of environmental pollution and climatic change, which indicates the need to protect the existing standard biology.

      • KCI등재후보

        주파수 여과에 따른 단어 및 문장인지도

        황성은,장현숙,이지연,김유경 한국청각언어재활학회 2011 Audiology and Speech Research Vol.7 No.1

        Filtered speech can cause significant speech-recognition difficulties in hearing–impaired and CAPD patients. This study measured recognition performance for low- and high-passed filtered monosyllables and sentences, to be included in assessing peripheral or central auditory function. Two lists of Korean monosyllables (H-lists and KS-MW-lists) were filtered at each of five low-pass cutoffs (500, 800, 1,200, 1,500, or 1,700 Hz) or each of five high-pass cutoffs (1,700, 2,100, 2,500, 3,000, or 4,000 Hz). The Korean Standard-Sentence Lists-Adult was filtered at each of seven low-pass cutoffs (250, 350, 500, 800, 1,200, 1,500, or 1,700 Hz) or each of six high-pass cutoffs (1,700, 2,100, 2,500, 3,000, 4,000, or 6,000 Hz). Word and sentence recognition tests were studied in 20 adults, ages of 20~27 (mean=22.7), having normal hearing sensitivity. The results showed: first, with filtered monosyllables, percent-correct recognition decreased significantly by lowering the cutoff frequency in low-pass conditions or raising the cutoff in high-pass conditions. There were no significant recognition-performance differences between H list and KS lists in both low- and high-pass conditions, except at 500 Hz and 800 Hz low-pass cutoffs conditions; the cross frequencies of H list and KS list were 1,531 Hz (78.95%) and 1,516 Hz (76.08%), respectively. Second, recognition of low-pass filtered sentences decreased significantly (from 100% to 6.00%) by lowering the cutoff from 1,200 Hz to 250 Hz. Recognition of high-pass filtered sentences decreased significantly (from 100% to 27.15%) by raising the cutoff from 2,500 Hz to 6,000 Hz. Third, comparing filtered-word to the filtered-sentence recognition performance, showed higher accuracy with sentences than with words, probably because of increased sentence redundancy. The results showed that frequency cutoff and type of speech material affect recognition of filtered speech. For words and sentences, these low- and high-pass cutoffs parameters could be relevant in the evaluation of peripheral and central auditory function.

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