• 대한공간정보학회지
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• 제18권3호
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• pp.11-19
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• 2010

최근 들어 우리나라에서는 지역적인 돌발 및 집중강우패턴으로 인해 산사태 등의 자연재해발생이 증가하고 있다. 이에 따라 산사태를 모니터링하고 관리하기 위하여 최신의 3차원 측량장비인 LiDAR 등으로 취득한 고정밀 고밀도의 수치고도자료를 이용하여 산사태지역에서의 변위탐지와 모니터링을 위한 지면변위 연구가 시도되고 있다. 그러나 대용량의 LiDAR 데이터를 처리하는 상업용 소프트웨어는 고가이며, 산사태 분석과 같은 특화된 업무에 적용하기에 무리가 있다. 또한 산사태와 관련된 다양한 공간정보를 다수의 이용자가 쉽게 접근하여 직관적으로 활용할 수 있는 방안이 없는 실정이다. 따라서 본 연구에서는 시계열 LiDAR 데이터를 처리하여 산사태를 분석할 수 있으며, 해당 지역에서의 지형 및 산사태 관련정보를 다수의 사용자에게 직관적으로 서비스할 수 있는 응용프로그램을 개발하였다. 또한 사례연구를 통해 연구지역에 대한 산사태 현황을 분석할 수 있었으며, 3차원 기반의 산사태 및 지형정보를 직관적으로 서비스할 수 있음을 제시하였다.

• 한국산학기술학회논문지
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• 제13권1호
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• pp.370-381
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• 2012

다기준 의사결정 연구는 평가기준이 상이한 다수의 선호도로부터 최선의 대안을 찾는 방법으로 실시간 재난 탐지, 센서를 이용한 서식 모니터링 등의 응용환경에서 활용되어 왔다. 최근 유효시간 데이터 스트림 응용환경에서 각 객체들이 개개의 유효시간을 가지므로, 기존의 슬라이딩 윈도우보다 다기준 의사결정 방법, 즉 스카이라인 질의 수행에 더 많은 연산이 필요한다. 본 연구에서는 유효시간 데이터 스트림에서 스카이라인 질의를 수행하는 TI-Sky 알고리즘을 제시한다. 실시간 환경에서 새로운 객체가 생성되고 소멸되기까지 유효한 객체들을 관리하고 스카이라인 질의를 수행하기 위해 파티션단위의 시간 지배관계를 제시한다. 객체의 생성과 유효시간, 지배관계에 따라 시간지배관계를 갱신하며 다양한 방법으로 사멸객체를 제거하여 수행성능을 향상 시켰다. 실험을 통해 TI-Sky가 다양한 데이터 상에서 기존 연구보다 뛰어난 성능으로 스카이라인 질의를 수행하는 것을 증명하였다.

• 한국정보기술학회논문지
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• 제16권12호
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• pp.1-11
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• 2018

최근 온라인 쇼핑 유통시장의 규모는 지속적이고 빠르게 성장하고 있기 때문에 고객 행동평가분석을 통한 맞춤형 쇼핑서비스가 매우 중요해지고 있다. 하지만 기존의 분석 방식은 소비자의 프로파일 및 행동에 대한 분석 데이터만을 제공하고, 디스크기반 마이닝 탐사로 인해 실시간 분석의 한계가 존재했다. 그러므로 실시간 처리 및 분석이 필요한 웹 서비스와 같은 분야에 기존 방식을 적용하기에는 정확성의 문제와 시스템 성능 문제가 존재한다. 본 연구에서는 실시간으로 발생되는 웹 클릭 로그 스트림을 분석하고 특정 상품에 대한 집중도를 분석하여 상품 구매 의지가 있는 관심고객을 찾아내며, 이를 바탕으로 전체 고객 대상이 아닌 관심고객 중심의 상품 프로모션을 진행할 수 있는 시스템을 구현하고 이들의 효율성과 정확성을 검증한다.

• 한국지구과학회지
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• 제42권5호
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• pp.504-513
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• 2021

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 이 과정을 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 17일 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 수치모델 모의 결과가 일치하지 않은 사례는 모두 층적운 접합 여부 및 적운 모의 등 수치모델의 구름물리 부분의 모의 성능에 기인하여 발생한 것이라고 분석된다. 따라서, 대기경계층 유형 분류의 구름물리과정의 모의 정확도를 개선하면 수치모델 성능이 향상 될 것으로 판단된다.

• Journal of Korean Biological Nursing Science
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• 제9권2호
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• pp.125-134
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• 2007

Purpose: To examine knowledge and attitudes of nurses on post-operative pain, and to find the factors that hinder pain management by the nurses. Method: Data was collected using a questionnaire from all the nurses working in the surgical units and intensive care units in a hospital in Seoul between March 12 and 22, 2007. Data was analyzed with descriptive statistics, t-test, $x^2$ test, and Pearson Coefficient Correlation. Result: The average knowledge score on pain was $9.33{\pm}1.55$, and that for analgesics was $6.89{\pm}2.00$. There was a significant difference in knowledge of analgesics in terms of career(p=0.012), present work place(p=0.024) and education(p=0.042). The knowledge on pain etiology was significantly different in career. Around 61.1% of respondents answered that they would administer analgesics immediately if patients complaint pain, and 94.1% re-administer analgesics if the VAS score is over 5.69.3% thought that their knowledge was adequate for pain management. The attitudes of pain management were significantly different in career. Conclusion: We found that a further improvement on nurses' knowledge on pain management and analgesics is necessary. This study also suggests a need for professional education for nurses on post-operative pain management.

• 한국화재소방학회:학술대회논문집
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• 한국화재소방학회 2012년도 춘계학술발표회 초록집
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• pp.190-193
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• 2012

The tools that classify the severity of patients based on the prediction of mortality include APACHE, SAPS, and MPM. Theses tools rely crucially on the evaluation of patients' general clinical status on the first date of their admission to ICU. Nursing activities are one of the most crucial factors influencing on the quality of treatment that patients receive and one of the contributing factors for their prognosis and safety. The purpose of this study was to identify the goodness-of-fit of CPSCS of critical patient severity classification system(CPSCS) and Glasgow coma scale(GCS) and the clinical usefulness of its death rate prediction. Data were collected from the medical records of 187 neurological patients who were admitted to the ICU of C University Hospital. The data were analyzed through $x^2$ test, t-test, Mann-Whitney, Kruskal-Wallis, goodness-of-fit test, and ROC curve. In accordance with patients' general and clinical characteristics, patient mortality turned out to be statistically different depending on ICU stay, endotracheal intubation, central venous catheter, and severity by CPSCS. Homer-Lemeshow goodness-of-fit tests were CPSCS and GCS and the results of the discrimination test using the ROC curve were $CPSCS_0$,.734, $GCS_0$,.583, $CPSCS_{24}$,.734, $GCS_{24}$,.612, $CPSCS_{48}$,.591, $GCS_{48}$,.646, $CPSCS_{72}$,.622, and $GCS_{72}$,.623. Logistic regression analysis showed that each point on the CPSCS score signifies1.034 higher likelihood of dying. Applied to neurologically ill patients, early CPSCS scores can be regarded as a useful tool.

• Perspectives in Nursing Science
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• 제14권1호
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• pp.10-20
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• 2017

Purpose: The aim of this study was to explore the patients' perspectives on nursing students' clinical practices in the wards, and to investigate their willingness for allowing students to practice on them. Methods: This was a descriptive study. 116 inpatients were recruited from the S University Hospital. A 60-item questionnaire was applied to collect the data. The participants were 19 years and older with sound judgement, and were not in special or intensive care units. Data analysis was done in SPSS/WIN 22.0 using descriptive statistics, Fishers exact test, and the ANOVA test. the participant answered to questionnaire from April 29th 2016 to May 10th. Results: 40 participants (34.5%) stated they would allow students' practice, while 72 (61.2%) said they would allow only under staff supervision. 5 participants (4.3%) stated they would not allow whatsoever. The 3 most allowed were emotional support, oral care, and vital signs measurement while the 3 least allowed were gastric feeding, intravenous catheterization, and urinary catheterization. Conclusion: Patients were more inclined to allow students to practice on them when a member of the medical team was present. A fair number of participants said they would be more inclined to allow students' practice if they felt the student was competent; hence, reinforcing simulation sessions is vital in enhancing students' competency and ultimately practice allowance.

• 상하수도학회지
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• 제35권6호
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• pp.477-487
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• 2021

Due to the global climate change, Korean peninsula is has been experiencing flooding and drought severely. It is hard difficult to manage water resources sustainably, because due to intensive precipitation in short periods and severe drought has increased in Korea. Reused water from the wastewater treatment plant (WWTP) could be a sustainable and an alternative water source near the urban areas. In order to understand the patterns of water reuse in Korea, annual water reuses data according to the times and regional governments were investigated from 2008 to 2019. The reused water from WWTP in Korea has been mainly used for river maintenance flow and industrial use, while agricultural use of water reuse has decreased with time. Metropolitan cities in Korea such as Seoul, Busan, Daegu, Ulsan, and Incheon have been mainly used reused reusing water for river maintenance flow. Industrial water reuse has been limitedly applied recently for the planned industrial districts in Pohang, Gumi, Paju, and Asan. By using the collected annual water reuse data from the domestic sewerage statistics of sewerage, the optimistic and pessimistic future estimations of for future annual water reuse were suggested from 2020 to 2040 on a five year interval for every five years.

• 한국환경과학회지
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• 제31권9호
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• pp.735-741
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• 2022

Global warming affects forests and their ecology. Diversity in the forest is a buffer that reduces the damage due to global warming. Mixed forests are ecologically more valuable as versatile habitats and are effective in preventing landslides. In Korea, most forests were created by simple afforestation with trees of evergreen species. Typically, evergreen trees are shallow-rooted, and deciduous trees are deep-rooted. Mixed forest tree roots grip the soil effectively, which reduces the occurrence of landslides. Therefore, improving the distribution of tree types is essential to reduce damage due to global warming. For this improvement, the investigation of tree types of the forest is needed. However, determining the tree type distribution of forests that are spread over wide areas is labor-intensive and time-consuming. This study suggests effective methods for determining the distribution of tree types in a forest that is spread across a relatively wide area. Using normalized difference vegetation index and RGB images from unmanned aerial vehicles, each evergreen and deciduous tree, and grassland area can be distinguished. The distinguished image determines the distribution of tree type. This method is effective compared to directly determining the tree type distribution in the forest by the use of manpower. The data from these methods could be applied to plan a mixed forest or to prepare for future damage due to global warming.

• Journal of Yeungnam Medical Science
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• 제41권3호
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• pp.213-219
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• 2024

Background: Aortic valve replacement (AVR) has recently been performed at many centers using a minimally invasive approach to reduce postoperative mortality, morbidity, and pain. Most previous reports on minimally invasive AVR (MiAVR) have mainly focused on aortic stenosis, and those exclusively dealing with aortic regurgitation (AR) are few. The purpose of this study was to investigate early surgical results and review our experience with patients with chronic severe AR who underwent AVR via right anterior mini-thoracotomy (RAT). Methods: Data were retrospectively collected in this single-center study. Eight patients who underwent RAT AVR between January 2020 and January 2024 were enrolled. Short-term outcomes, including the length of hospital stay, in-hospital mortality, postoperative complications, and echocardiographic data, were analyzed. Results: No in-hospital mortalities were observed. Postoperative atrial fibrillation occurred temporarily in three patients (37.5%). However, none required permanent pacemaker implantation or renal replacement therapy. The median values of ventilator time, length of intensive care unit stay, and hospital stay were 17 hours, 34.5 hours, and 9 days, respectively. Preoperative and postoperative measurements of left ventricular ejection fraction were similar. However, the left ventricular end systolic and diastolic diameters significantly decreased postoperatively from 42 mm to 35.5 mm (p=0.018) and 63 mm to 51 mm (p=0.012), respectively. Conclusion: MiAVR via RAT is a safe and reproducible procedure with acceptable morbidity and complication rates in patients with chronic severe AR. Despite some limitations such as a narrow surgical field and demanding learning curve, MiAVR is a competent method for AR.