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자율운항선박 도입을 위한 수치해도 데이터 활용 해상교통분석 개선방안
황태웅,황태민,윤익현,Hwang, Taewoong,Hwang, Taemin,Youn, Ik-Hyun 해양환경안전학회 2022 해양환경안전학회지 Vol.28 No.6
The maritime traffic analysis has been conducted in various ways to solve problems arising from the complex marine environment. However, recent trends in the maritime industry, such as the development of the maritime autonomous surface ships (MASS), suggest that maritime traf ic analysis needs change. Accordingly, based on the studies conducted over the past decade for improvements, automatic identification system (AIS) data is mainly used for maritime traffic analysis. Moreover, the use of geographic information that directly af ects ship operation is relatively insufficient. Therefore, this study presented a method of using a combination of shape format data and AIS data to enhance maritime traffic analysis in preparation for the commercialization of autonomous ships. Consequently, extractable marine traffic characteristics were presented when shape format data were used for marine traffic analysis. This is expected to be used for marine traffic analysis for the introduction of autonomous ships in the future.
인구통계학적 필터링 추천을 위한 템플릿 사용자 프로파일
안형근(Hyounggeun An),이단영(Danyoung Lee),황태웅(Taewoong Hwang),고재진(Jaejin Koh) 한국정보과학회 2009 한국정보과학회 학술발표논문집 Vol.36 No.2C
고객 맞춤(customization)과 개인화(personalization) 서비스는 인터넷 상점이나 웹 정보 제공 서비스에서 중요한 성공 요인의 하나로 인식되고 있다. 고객 맞춤 서비스의 일종인 개인화 추천(personalized recommendation)은 고객 신상 정보와 인터넷 상점 내에서의 구매 행위 정보를 바탕으로 고객 취향을 반영하여 상품이나 서비스를 추천하는 것을 말하며, 학습에 의한 추천과 필터링에 의한 추천으로 나누어진다. 특히, 필터링 추천 중에서 인구통계학적 필터링의 경우 구매 정보가 없는 초기 단계에서 아주 좋은 효과를 보이나 필터링의 정확도가 낮아진다는 단점을 가지고 있다. 따라서, 본 논문에서는 초기 단계에서 효과를 보이는 인구통계학적 필터링 방법에 정확도를 높이기 위하여 개선된 필터링을 효과적으로 할 수 있는 템플릿 사용자 프로파일을 제안하고자 한다.
만성 병력 없이 호흡보조를 위해 중환자실에 입원한 소아의 특성 및 예후인자
정민영 ( Minyoung Jung ),김민지 ( Minji Kim ),이옥정 ( Ok Jeong Lee ),최아영 ( Ah Young Choi ),황태웅 ( Taewoong Hwang ),조중범 ( Joongbum Cho ) 대한천식알레르기학회(구 대한알레르기학회) 2018 Allergy Asthma & Respiratory Disease Vol.6 No.2
Purpose: Comorbidities have been considered a mortality risk factor in pediatric critical care patients. We studied the characteristics and prognostic factors of children without comorbidities who were admitted to the intensive care unit (ICU) due to respiratory failure. Methods: We reviewed the medical charts of patients (<18 years) admitted to the ICU for respiratory support in a single tertiary center between January 2006 and December 2016. Patients with comorbidities and perioperative statuses were excluded. Results: Of the 4,712 ICU patients, 73 (1.5%) were included in this study. The median age was 31 months (8-57) and 51 (69.9%) were boys. Twenty-nine patients (39.7%) presented with pneumonia, 14 (19.2%) with acute respiratory distress syndrome (ARDS), and 11 (15.1%) with obstructive airway disease. The median duration of ICU hospitalization was 5 days (2-14.5), and 45 of the 73 patients (61.6%) needed mechanical ventilation. Mortality was 13.7% (10/73). None of the patients with pneumonia or obstructive airway disease died. The most frequent cause of death was ARDS (5 of 10, 50%). In adjusted analysis, the extent of extrapulmonary organ dysfunction was significantly associated with mortality (odds ratio, 2.89; 95% confidence interval, 1.17-7.11; P=0.023). Conclusion: The mortality rate of previously healthy pediatric patients needing respiratory support in the ICU should not be negligible. Multiple organ dysfunctions might be a significant risk factor for mortality in such patients. (Allergy Asthma Respir Dis 2018;6:103-109)