• Disaster Prevention Review
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• v.15 no.2
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• pp.86-87
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• 2013

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.103-105
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• 2019

오늘날 우리나라는 기후변화로 인하여 하절기 국지성 집중호우의 발생빈도가 증가하고 있으며 이로 인해 발생하는 돌발홍수로 매년 인명피해가 발생하고 있다. 이러한 돌발홍수는 작은 지역에서 빠르게 발생하기 때문에 일반적인 홍수예보로는 대비하기 적합하지 않다. 따라서 이렇게 국지적으로 발생하는 돌발홍수를 대비하기 위해서는 최대한 빠른 시간 안에 집중호우 지역에 대한 기상정보 분석이 필수적이다. 본 논문에서는 보다 신속 정확한 기상정보 분석을 위하여 고성능컴퓨터(High Performance Computer) 기반의 홍수예보모형을 운영하는 방안을 제시하였다.

• Journal of Hospice and Palliative Care
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• v.20 no.1
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• pp.18-25
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• 2017

Purpose: Adequate control of breakthrough pain is essential for patients with cancer. Managing breakthrough pain mainly depends on understanding the concept of breakthrough pain and the proper usage of rescue medication by physicians. This study aims to assess the attitudes and practice patterns of palliative physicians in managing breakthrough pain for patients in Korea. Methods: This study was based on data from the 2014 breakthrough cancer pain survey conducted by the Korean Society for Hospice and Palliative Care. One hundred physicians participated in the online survey. Among total 33 self-reported questionnaires, twelve items were selected in this analysis. Results: Rapid onset of action is the main influencing factor in selecting rescue opioids. Oral oxycodone (65%) and parenteral morphine (27%) are commonly used. A few physicians (3%) prefer to use transmucosal fentanyl. The percentage of physicians prescribing oral oxycodone due to its rapid onset of action is just 21.5%, whereas the percentage of physicians using parenteral morphine is 81.5%. Two thirds of respondents (66%) answered that breakthrough pain is not well controlled with rescue medications. Conclusion: There is a gap between the needs of physicians in terms of the perceived difficulties of managing breakthrough cancer pain and their practice patterns selecting rescue medications.

• Journal of Korean Society of Transportation
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• v.22 no.4 s.75
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• pp.159-173
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• 2004

This study utilizes the fuzzy logic and genetic algorithm to improve the existing incident detection models by addressing the problems associated with "crisp" thresholds and model transferability (applicability). The model's major components were designed to be a set of the fuzzy inference engines, and for the self-adaptation capability the genetic algorithm was introduced in optimization(or training) of the fuzzy membership functions. This approach is often called "the hybrid of fuzzy-genetic algorithm" The model performance was tested and found to be compatible with that of the existing well-recognized models in terms of performance measures such as detection rate, false alarm rate, and detection time. This study was not an effort for simple improvement of the model performance, but an experimental attempt to incorporate new characteristics essential for the incident detection model to be universally applicable for various roadway and traffic conditions. The study results prove that the initial objective of the study was satisfied, and suggest a direction that the future research work in this area must follow.

• Proceedings of the Korean Environmental Sciences Society Conference
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• 2018.10a
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• pp.141-141
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• 2018

• Journal of Korean Society for Geospatial Information Science
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• v.16 no.3
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• pp.87-94
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• 2008

In this study, deals with selection of monitoring objects to handle emergency cases of multi-modal transfer stations and information required for emergency surveillance, recognition, verification, propagation, processing and situation closing. Furthermore, this article suggests integrated management scheme for the above information and methods which offer appropriate information required for situation handling decisions at each stage of situation changes. The transfer station which consists of facilities, passengers, and transportations has limitations in required monitoring information. So, for the situation recognition and handling strategy, case-based reasoning of the expert system was used to apply experience, knowledge, and past cases of situation handling experts. The article also suggests methods to control facilities which are operated at transfer stations and these methods can minimize spatial confusions and damages at the emergency situation. The real time situation information will be shared by proper facility controls to support services from external institutions.

• Proceedings of the KOR-BRONCHOESO Conference
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• 1987.05a
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• pp.5.2-6
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• 1987

저자들은 1978년부터 1986년까지 서울대학병원 이비인후과에 내원했던 원인불명의 돌발성 난청환자 중 추적조사가 가능하였던 60예에 대한 임상적 분석을 시행하여 다음과 같은 결과를 얻었다. 1) 60명의 환자중 45예가 입원 치료를 받았고 15예는 외래환자로 성별은 남자 36명. 여자 24명이었고 연령분포는 10대에서 50대에 걸쳐 널리 분포되었다. 2) 발생시기는 아침 기상시가 많았고 양측성인 경우는 4 예 있었다. 3) 동반증상은 이명, 이충만감, 현기증의 순으로 많았고 상기도염은 14예에서 있었다. 4) 입원치료는 prednisolone 경구투여와 저분자 dextran을 정맥주사하였고, 이중 25예는 histamine정맥주사나 heparin 피하주사를 추가로 겸용 치료하였다. 5) 청력회복의 결과는 Siegel의 분류방법을 따랐고, 입원 치료한 경우 완전회복이 6예, 부분회복이 8예, 경도호전이 9예로 23예(51.1%)에서 청력 호전이 있었다. Histamine과 heparin의 사용은 청력회복 결과를 높이지 못하였다. 외래환자의 경우는 입원치료군과 비교하는데 어려운 점이 있었으나 전체적으로 15예중 6예(40%) 에서 청력 호전이 있어서 입원 치료군이 좋은 성적을 보였다. 6) 치료의 예후에 관련된 요인으로 발병후 1주내에 치료를 시작한 경우 결과가 좋았다. 완전회복이 된 6예중 5예가 1주 내에 치료를 시작한 것이었다. 현훈이 동반된 경우는 현훈이 없는 경우보다 예후가 나빴다. 청력상이 하강형인 경우는 상승형이나 편평형보다 결과가 좋지 않았으며 내원시 고도의 심한 난청을 보인 경우는 청력회복이 거의 없었다.

• Journal of Korean Society for Geospatial Information Science
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• v.16 no.1
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• pp.23-32
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• 2008

According to recent frequent local flash flood due to climate change, the very short-term rainfall forecast using remotely sensed rainfall like radar is necessary to establish. This research is to evaluate the feasibility of GIS-based distributed model coupled with radar rainfall, which can express temporal and spatial distribution, for multipurpose dam operation during flood season. $Vflo^{TM}$ model was used as physically based distributed hydrologic model. The study area was Yongdam dam basin ($930\;km^2$) and the 3 storm events of local convective rainfall in August 2005, and the typhoon.Ewiniar.and.Bilis.collected from Jindo radar was adopted for runoff simulation. Distributed rainfall consistent with hydrologic model grid resolution was generated by using K-RainVieux, pre-processor program for radar rainfall. The local bias correction for original radar rainfall shows reasonable results of which the percent error from the gauge observation is less than 2% and the bias value is $0.886{\sim}0.908$. The parameters for the $Vflo^{TM}$ were estimated from basic GIS data such as DEM, land cover and soil map. As a result of the 3 events of multiple peak hydrographs, the bias of total accumulated runoff and peak flow is less than 20%, which can provide a reasonable base for building operational real-time short-term rainfall-runoff forecast system.

• Journal of the Institute of Electronics and Information Engineers
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• v.51 no.2
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• pp.23-29
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• 2014

The advanced traffic management system of intelligent transport systems automates the related traffic tasks such as vehicle speed, traffic volume and traffic incidents through the improved infrastructures like high definition cameras, high-performance radar sensors. For the safety of road users, especially, the automated incident detection and secondary accident prevention system is required. Normally, CCTV based image object detection and radar based object detection is used in this system. In this paper, we proposed the algorithm for real time highway incident detection system using multi surveillance cameras to mosaic video and track accurately the moving object that taken from different angles by background modeling. We confirmed through experiments that the video detection can supplement the short-range shaded area and the long-range detection limit of radar. In addition, the video detection has better classification features in daytime detection excluding the bad weather condition.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.4
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• pp.771-782
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• 2021

Regular or irregular situations such as traffic accidents, damage to road facilities, maintenance or repair work, and vehicle breakdowns occur frequently on highways. It is required to provide traffic services to drivers by promptly recognizing these regular or irregular situations, various techniques have been developed for rapidly collecting data and detecting abnormal traffic conditions to solve the problem. We propose a method that can be used for verification and demonstration of unexpected situation algorithms by establishing a system and developing algorithms for detecting unexpected situations on highways. For the detection of emergencies on expressways, a system was established by defining the expressway contingency and algorithm development, and a test bed was operated to suggest a method that can be used for verification and demonstration of contingency algorithms. In this study, a system was established by defining the unexpected situation and developing an algorithm to detect the unexpected situation on the highway, and a method that can be used verifying and demonstrating unexpected situations. It is expected to secure golden time for the injured by reducing the effectiveness of secondary accidents. Also predictable accidents can be reduced in case of unexpected situations and the detection time of unpredictable accidents.