• Journal of Applied Biological Chemistry
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• v.59 no.3
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• pp.239-242
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• 2016

A novel Nicotinoyl fused peptide, Nicotinoyl-LVH, was synthesized by solid phase peptide synthesis method, purified, and tested in cultured skin cells. Nicotinoyl-LVH enhanced the expression level of collagen mRNA and its fragments in fibroblasts. These data show that this novel Nicotinoyl peptide is a promising biomaterial in the anti-aging functional cosmetic market.

• KIEE International Transactions on Power Engineering
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• v.3A no.2
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• pp.100-108
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• 2003

This paper presents the design and performance results of a pair of 6-kA high-temperature superconducting (HTS)-copper current leads, in which, over a short length at the warm end (e.g.,77K) of each HTS section, comprised of paralleled Bi-2223/Ag-Au tapes, is operated in the current-sharing mode. Because of their reliance on vapor cooling, the leads are applicable only to liquid helium cooled superconducting magnets such as those used in high-energy Physics accelerators and fusion machines. The experimental measurements have demonstrated that key performance data of the new 6-kA HTS-Copper leads agree reasonably well with those expected from design.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.714-717
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• 2011

스마트그리드(Smart Grid)는 기존의 단방향 전력망인 자동화 검침 장치(Automated Meter Reading, AMR)에서 발전하여 양방향으로 실시간 정보를 교환하는 '지능형 전력망'이다. 스마트그리드 환경에서는 수요 반응(Demand Response) 서비스를 이용하여 전력 사용을 효과적으로 분산 할 수 있다. 하지만 보안에 대한 대비가 충분하지 않을 시에는 데이터의 삽입, 변조에 의해 시스템이 오용될 수 있다. 본 논문에서는 스마트 미터의 검침 값이 네트워크를 통해 전력정보처리시스템(Meter Data Management System, MDMS)까지 전달되는 과정에서 데이터 변조의 발생여부를 탐지할 수 있는 방법을 제안한다. 본 논문의 탐지 방법을 통해 신뢰성 있는 수요 반응 서비스를 제공할 수 있으며, 이는 효율적인 전력 사용을 유도할 것으로 기대된다.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.770-773
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• 2011

스마트그리드는 기존의 전력망 환경에 정보통신 기술을 접목하여 발전소와 사용자가 실시간으로 정보를 교환하며, 사용 과금 및 전력공급의 효율성을 증대시키는 기술이다. 스마트그리드는 전력관리소인 MDMS(Meter Data Management System)와 각 가정에 연결되어있는 스마트미터와의 통신을 통해 전력데이터를 수집하게 되는데, 각 가정의 디바이스들은 전력사용량을 사용한 만큼 스마트미터에게 정보를 전송하여 스마트미터에서는 그 정보를 MDMS에게 전송하는 방식을 사용하고 있다. 이는 네트워크를 활용하여 전송하고 있기 때문에 기존의 보안위협 및 스마트그리드환경에서의 추가적인 보안위협이 예상된다. 따라서 본 논문에서는 각 가정에서 측정한 전력데이터 값을 안전하게 전송하기 위해 디바이스를 OTP를 기반으로 안전하게 인증하는 기술에 대하여 제안하였다.

• Journal of The Korean Society of Emergency Medicine
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• v.29 no.5
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• pp.399-407
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• 2018

Objective: Regionalization is one of the principal subjects for the advancement of rural emergency medical service systems in South Korea. This study shows the characteristics of interhospital transfer and status of the incidence of three major emergency disorders (acute myocardial infarction [AMI], acute stroke, and severe trauma) in one local province. Methods: A retrospective study was conducted for patients with three major emergency disorders who visited emergency medical facilities in one local province from January 2013 to December 2015, on the basis of the National Emergency Department Information System (NEDIS) data. Results: The incidence of three major emergency disorders had increased annually. Patients with each of these disorders tended to choose distinguishing methods of visiting emergency medical facilities. AMI patients tended to visited emergency medical facilities using private cars or on foot, while severe trauma patients usually visited by 119 ambulance, and acute stroke patients used 119 ambulance and private car in similar amounts. Overall, 65% of AMI patients were treated in intraregional medical facilities, but about 70% of acute stoke and severe trauma patients were transferred outside of the region. Conclusion: Because each of these disorders has an individual characteristic, it is difficult to expect a solution for the problems associated with emergency disorders just by assuring the availability of medical resources. Based on regionalization, a policy to provide the optimal treatment for those emergency disorders should be developed by planning public medical service systems based on the individual characteristics of emergency disorders, the standardized transfer plans of emergency patients and the assurance for mobilization and sharing of confined medical resources.

• Korean Journal of Remote Sensing
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• v.37 no.5_2
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• pp.1295-1305
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• 2021

Satellite-derived ocean color products are required to effectively monitor clear open ocean and coastal water regions for various research fields. For this purpose, accurate correction of atmospheric effect is essential. Currently, the Geostationary Ocean Color Imager (GOCI)-II ground segment uses the reanalysis of meteorological fields such as European Centre for Medium-Range Weather Forecasts (ECMWF) or National Centers for Environmental Prediction (NCEP) to correct gas absorption by water vapor and ozone. In this process, uncertainties may occur due to the low spatiotemporal resolution of the meteorological data. In this study, we develop water vapor absorption correction model for the GK-2 combined GOCI-II atmospheric correction using Advanced Meteorological Imager (AMI) total precipitable water (TPW) information through radiative transfer model simulations. Also, we investigate the impact of the developed model on GOCI products. Overall, the errors with and without water vapor absorption correction in the top-of-atmosphere (TOA) reflectance at 620 nm and 680 nm are only 1.3% and 0.27%, indicating that there is no significant effect by the water vapor absorption model. However, the GK-2A combined water vapor absorption model has the large impacts at the 709 nm channel, as revealing error of 6 to 15% depending on the solar zenith angle and the TPW. We also found more significant impacts of the GK-2 combined water vapor absorption model on Rayleigh-corrected reflectance at all GOCI-II spectral bands. The errors generated from the TOA reflectance is greatly amplified, showing a large error of 1.46~4.98, 7.53~19.53, 0.25~0.64, 14.74~40.5, 8.2~18.56, 5.7~11.9% for from 620 nm to 865 nm, repectively, depending on the SZA. This study emphasizes the water vapor correction model can affect the accuracy and stability of ocean color products, and implies that the accuracy of GOCI-II ocean color products can be improved through fusion with GK-2A/AMI.

• Korean Journal of Remote Sensing
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• v.39 no.6_3
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• pp.1779-1790
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• 2023

Satellite-based fog detection algorithms are being developed to detect fog in real-time over a wide area, with a focus on the Korean Peninsula (KorPen). The GEO-KOMPSAT-2A/Advanced Meteorological Imager (GK2A/AMI, GK2A) satellite offers an excellent temporal resolution (10 min) and a spatial resolution (500 m), while GEO-KOMPSAT-2B/Geostationary Ocean Color Imager-II (GK2B/GOCI-II, GK2B) provides an excellent spatial resolution (250 m) but poor temporal resolution (1 h) with only visible channels. To enhance the fog detection level (10 min, 250 m), we developed a fused GK2AB fog detection algorithm (FDA) of GK2A and GK2B. The GK2AB FDA comprises three main steps. First, the Korea Meteorological Satellite Center's GK2A daytime fog detection algorithm is utilized to detect fog, considering various optical and physical characteristics. In the second step, GK2B data is extrapolated to 10-min intervals by matching GK2A pixels based on the closest time and location when GK2B observes the KorPen. For reflectance, GK2B normalized visible (NVIS) is corrected using GK2A NVIS of the same time, considering the difference in wavelength range and observation geometry. GK2B NVIS is extrapolated at 10-min intervals using the 10-min changes in GK2A NVIS. In the final step, the extrapolated GK2B NVIS, solar zenith angle, and outputs of GK2A FDA are utilized as input data for machine learning (decision tree) to develop the GK2AB FDA, which detects fog at a resolution of 250 m and a 10-min interval based on geographical locations. Six and four cases were used for the training and validation of GK2AB FDA, respectively. Quantitative verification of GK2AB FDA utilized ground observation data on visibility, wind speed, and relative humidity. Compared to GK2A FDA, GK2AB FDA exhibited a fourfold increase in spatial resolution, resulting in more detailed discrimination between fog and non-fog pixels. In general, irrespective of the validation method, the probability of detection (POD) and the Hanssen-Kuiper Skill score (KSS) are high or similar, indicating that it better detects previously undetected fog pixels. However, GK2AB FDA, compared to GK2A FDA, tends to over-detect fog with a higher false alarm ratio and bias.

• Journal of Korean Academy of Nursing
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• v.46 no.6
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• pp.804-812
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• 2016

Purpose: This research was done to identify the hospital arrival rate and factors related to prehospital delay in arriving at an emergency medical center within the golden time after symptom onset in patients with acute myocardial infarction (AMI). Methods: Data used in the research was from the National Emergency Department Information System of the National Emergency Medical Center which reported that in 2014, 9,611 patients went to emergency medical centers for acute myocardial infarction. Prehospital time is the time from onset to arrival at an emergency medical center and is analyzed by subdividing arrival and delay based on golden time of 2 hour. Results: After onset of acute myocardial infarction, arrival rate to emergency medical centers within the golden time was 44.0%(4,233), and factors related to prehospital delay were gender, age, region of residence, symptoms, path to hospital visit, and method of transportation. Conclusion: Results of this study show that in 2014 more than half of AMI patients arrive at emergency medical centers after the golden time for proper treatment of AMI. In order to reduce prehospital delay, new policy that reflects factors influencing prehospital delay should be developed. Especially, public campaigns and education to provide information on AMI initial symptoms and to enhance utilizing EMS to get to the emergency medical center directly should be implemented for patients and/or caregivers.

• KIPS Transactions on Computer and Communication Systems
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• v.1 no.3
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• pp.119-124
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• 2012

As an energy network infrastructure, which is capable of integrating energy related services such as AMR/AMI, Smart Grid, and Smart Water Grid, the Smart Utility Network (SUN) enables a paradigm shift from user-oriented networks to device-oriented networks. The SUN has some similarities to sensor networks in application and network requirements. Therefore it is required to investigate and analyze thoroughly existing related work in advance to design new network protocols for SUN. In this paper we analyze service requirements and design considerations for SUN and then present a design guideline of new network protocols for SUN by investigating existing low power protocols, data aggregation methods, and in-network storages.

• Annual Conference on Human and Language Technology
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• 2021.10a
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• pp.264-269
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• 2021

상호참조해결은 주어진 문서에서 상호참조해결의 대상이 될 수 있는 멘션을 추출하고, 같은 개체를 의미하는 멘션 쌍 또는 집합을 찾는 자연어처리 작업이다. 하나의 멘션 내에 멘션이 될 수 있는 다른 단어를 포함하는 중첩 멘션은 순차적 레이블링으로 해결할 수 없는 문제가 있다. 본 논문에서는 이러한 문제를 해결하기 위해 멘션의 시작 단어의 위치를 여는 괄호('('), 마지막 위치를 닫는 괄호(')')로 태깅하고 이 괄호들을 예측하는 멘션 탐지 모델과 멘션 탐지 모델에서 예측된 멘션을 바탕으로 포인터 네트워크를 이용하여 같은 개체를 나타내는 멘션을 군집화하는 상호참조해결 모델을 제안한다. 실험 결과, 4개의 영어 대화 데이터셋에서 멘션 탐지 모델은 F1-score (Light) 94.17%, (AMI) 90.86%, (Persuasion) 92.93%, (Switchboard) 91.04%의 성능을 보이고, 상호참조해결 모델에서는 CoNLL F1 (Light) 69.1%, (AMI) 57.6%, (Persuasion) 71.0%, (Switchboard) 65.7%의 성능을 보인다.