• 천문학회보
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• 제41권2호
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• pp.48.3-49
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• 2016

We have five different types of observation modes with regard to the Deep Ecliptic Patrol of the Southern Sky (DEEP-South); Opposition Census (OC) for targeted photometry, Sweet Spot Survey (S1) for discovery and orbit characterization of Atens and Atiras, Ecliptic Survey (S2) for asteroid family studies and comet census, NEOWISE follow-up (NW) for near simultaneous albedo measurements in the visible bands, and Target of Opportunity (TO) observation for follow-up either for unpredictable events or targets of special interests. Different exposures with such different modes result in a wide range of background noise level, the number of background stars and the mover's projected speed in each image. The Moving Object Detection Program (MODP) utilizes multiple mosaic images being taken for the same target fields at different epochs at the three KMTNet sites. MODP employs existing software packages such as SExtractor (Source-Extractor) and SCAMP (Software for Calibrating Astrometry and Photometry); SExtractor generates object catalogs, while SCAMP conducts precision astrometric calibration, then MODP determines if a point source is moving. This package creates animated stamp images for visual inspection with MPC reports, the latter for checking whether an object is known or unknown. We evaluate the astrometric accuracy and efficiency of MODP using the year one dataset obtained from DEEP-South operations.

• 인터넷정보학회논문지
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• 제9권6호
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• pp.49-62
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• 2008

단위 취약점(atomic vulnerability)은 기존의 취약점의 표현방법이 갖는 모호성을 개선하여, 취약점을 시스템적으로 표현하기 위한 취약점의 새로운 정의이다. 단위 취약점은 취약점의 유형, 위치, 결과 등에 따라 보다 세분화하여, 취약점을 의미를 중심으로 분석하고 자 할 때 필요한 정보로서, 기존의 취약점은 몇 개의 단위 취약점 식별자의 조합으로 표현된다. 현재 가장 대표적으로 사용되는 취약점 정보인 CW(Common Vulnerability Exposure)의 경우, 취약점의 핵심적인 내용을 자연어 형태의 설명(description)을 통해 제시한다. 이러한 CVE의 설명 정보는, 정형화되어 있지 않아서 단위 취약점 분석을 위해서는 기존의 CVE 설명 정보에서 특정 단어들을 검색하여 데이터를 분류하는 자연어 검색 및 판단 기법이 필요하다. 본 논문에서는 자연어 검색 기법을 이용하여 단위 취약점 분석에 활용할 수 있는 소프트웨어를 설계하고 이를 실제 구현한 결과를 소개하고자 한다. 본 연구의 기여점은 설명위주의 취약점 표현을 정형화된 형태로 변환해 주는 소프트웨어 시스템의 개발에 있다.

• 한국컴퓨터정보학회논문지
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• 제16권6호
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• pp.155-164
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• 2011

스마트폰을 기반으로 한 앱은 병원의 의료 서비스, 은행 및 카드사의 금융서비스, 기업 및 가정의 유비쿼터스 기술 등 다양한 영역에 활용되고 있다. 이러한 서비스 환경에서 외부인에 의한 스마트폰의 불법적인 노출은 공 사적 정보의 유출을 포함한 자산의 손실이 발생한다. 이를 위한 보호 기법으로 비밀키 및 패턴 인식 기술, 정적인 단일 영상인증 기법이 적용되고 있으나 정적인 킷값의 유출 또는사진과같은영상을활용하여접근이가능하다는문제를 가지고 있다. 본 논문에서는 이러한 위험요소 및 문제로부터 스마트폰을 보호하기 위한 기술로 사용자 얼굴 인증 기술을 제안한다. 제안 기술은 사용자의 얼굴 동영상의 키 프레임을 실시간으로 추출하여 사용자를 인증하고 스마트폰의 접근을 제어한다. 인증 정보는 다수의 키 프레임으로 구성되며, 영상의 화소 및 휘도의 DC 값을 활용한 유사도 판별 알고리즘으로 사용자의 접근을 통제한다.

• 한국치위생학회지
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• 제17권5호
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• pp.721-733
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• 2017

Objectives: This study was conducted to help reduce the anxiety about dental radiation exposures of people and to provide a way to instill proper awareness of dental radiation. Methods: To fulfill the research aim, this study conducted a survey to 330 subjects who are 20 years old or over living in Seoul and Gyeonggi-do during the month of December 2016. The collected data were analyzed using frequency analysis, t-test, one-way ANOVA, Pearson's correlation coefficient and multiple regression analysis among others. Results: As a result of examining the correlation between the anxiety of dental radiography and the correlations between the variables showed that the knowledge of radiation knowledge and the need for radiography (r=0.186, p<0.01), thinking about shooting (r=0.137, p<0.05), and the effectiveness of wearing protective equipment (r=0.120, p<0.01), showing statistically significant differences. As a result of examining the factors influencing anxiety of dental radiography among adults, high awareness of the need for dental radiography (p<0.01), the more the idea of dental anxiety in dental radiography is radiography showed higher (p<0.01). Conclusions: It seems proper that adequate dental radiography requires adequate explanation about it to patients, wearing of protective equipment, and appropriate dental radiation safety education.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송∙미디어공학회 2022년도 하계학술대회
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• pp.205-208
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• 2022

Multi-exposure high dynamic range (HDR) image reconstruction, the task of reconstructing an HDR image from multiple low dynamic range (LDR) images in a dynamic scene, often produces ghosting artifacts caused by camera motion and moving objects and also cannot deal with washed-out regions due to over or under-exposures. While there has been many deep-learning-based methods with motion estimation to alleviate these problems, they still have limitations for severely moving scenes. They also require large parameter counts, especially in the case of state-of-the-art methods that employ attention modules. To address these issues, we propose a frequency domain approach based on the idea that the transform domain coefficients inherently involve the global information from whole image pixels to cope with large motions. Specifically we adopt Residual Fast Fourier Transform (RFFT) blocks, which allows for global interactions of pixels. Moreover, we also employ Depthwise Overparametrized convolution (DO-conv) blocks, a convolution in which each input channel is convolved with its own 2D kernel, for faster convergence and performance gains. We call this LFFNet (Lightweight Frequency Fusion Network), and experiments on the benchmarks show reduced ghosting artifacts and improved performance up to 0.6dB tonemapped PSNR compared to recent state-of-the-art methods. Our architecture also requires fewer parameters and converges faster in training.

• Journal of Preventive Medicine and Public Health
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• 제21권1호
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• pp.132-151
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• 1988

This study was conducted to establish the control program for preventing unfavorable health effects of nitrogen dioxide($NO_2$) exposure in homes by preparing the fundamental data for evaluation of relation-ships between $NO_2$ levels and influencing factors through measurements of indoor-outdoor $NO_2$ levels and personal $NO_2$ exposures for housewives with questionnaire survey on 172 homes in Pusan area from April to June, 1987 $NO_2$ measurements were made by using diffusion tube samplers(Palmes tube $NO_2$ sampler) for one week at 4 sites in homes ; kitchen(KIT), bedroom(BED), living room(LIV), outdoor(OUT) and near the collar of housewives(personal exposure livel, PNO). The details of questionnaire were number of household members(FAM), number of regular smokers (SMOKER), daily number of meals eaten(MEAL), type of housing units(HOUSE), location of house with distance from the heavy traffic roads as walking time(DIST), and of kitchen(KAREA), kind of cooking fuels(FUEL), cooking time of each meal(CTIME), usage of kitchen fan for cooking(FAN), type of heating facilities(HEAT) and so on of subject homes. The Obtained results were as fellows : 1) The mean $NO_2$ level was significantly higher at indoors than outdoors(p<0.01) and the kitchen $NO_2$ level was the highest with $33.7{\pm}13.6ppb$(9.5-81.5ppb). The mean personal exposure level of $NO_2$ for housewives was $20.6{\pm}8.8ppb$(3.1-46.9ppb). 2) The mean indoor $NO_2$ level was significantly higher in the group of household members above 5 than below 4(p<0.05), in detached dwellings than apartments(p<0.001), within 5 minutes of distance than over 5 minutes(p<0.001), in the group of unusing fan(p<0.001), in the group of longer cooking time(p<0.001), and it was in order of coal briquette, gas, electricity and oil by kind of cooking fuels(p<0.05). 3) Variables showing significant correlation(p<0.001) with indoor $NO_2$ level were kitchen $NO_2$ level(r=0.8677), cooking time(r=0.5921), outdoor $NO_2$ level(r=0.5192), personal $NO_2$ exposure level(r=0.4615), usage of kitchen fan(r=0.3573) and location of house(r=-0.2988) 4) As a result of multiple regression analysis, the most significant influencing variable to the kitchen $NO_2$ level was cooking time[KIT=$-0.378{\pm}11.772$(CTIME)+0.298(OUT)+3.102(FAN)], it was kitchen $NO_2$ level to the indoor $NO_2$ level[IND=6.996+0.458(KIT)+0.230(OUT)-1.127(KAREA)], and it was indoor $NO_2$ level to the personal $NO_2$ exposure level[PNO=15.562+0.729(IND)-4.542(DIST)-0.200(KIT)] 5) It was recognized that aritificial ventilation in the kitchen, suppression of unnecessary combustion and replacement of cooking fuel, as much as possible, were effective means for decreasing indoor $NO_2$ levels in homes.

• 한국환경보건학회지
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• 제34권1호
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• pp.12-19
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• 2008

We evaluated the relationship between birth weight and mercury exposure levels in Seoul, Korea, by following a cohort of pregnant women and the outcomes of their pregnancies between 2001-2005. Eighty-five pregnant women were recruited into this study after obtaining informed consent. Samples were collected at delivery from normal pregnant women who were living in the city of Seoul, Korea. Mercury concentrations in 85 sets of maternal and cord blood samples were measured using a gold-amalgam collection method. We used multiple regression analysis to analyze the effect of mercury exposure on birth weight. The mean levels of total mercury concentrations were 5.41(ppb) in maternal blood of pregnant women and 3.58(ppb) in umbilical cord blood. The mean concentration of umbilical cord blood mercury exposures was higher than the level recommended by WHO. There was a significant correlation between maternal and cord blood mercury concentrations. Mercury concentrations of umbilical cord blood was associated with birth weight. In addition, after adjusting for potential confounding factors, we found that mercury exposure may reduce the birth weight. This study suggests that exposure to mercury concentration during pregnancy contributes to the risk of low birth weight. Therefore, prenatal and environmental education for various and possible sources of mercury exposure might be necessary for the good health of babies. The finding of this study supports the construction of national policy for environmental health management.

• 한국산업보건학회지
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• 제26권1호
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• pp.64-74
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• 2016

Objectives: The purpose of this study was to investigate whether chemical exposure among workers has relevance to dyspnea using data from the $3^{rd}$ Korea Working Conditions Survey. Methods: The research subjects were 29,711 wage workers. Chemical exposures consist of four factors, (1) breathing in vapors, fumes, dust and dirt, (2) breathing in organic solvent vapors, (3) handling or touching chemicals, and (4) secondhand smoke. Multiple logistic regression analysis was performed to examine the association between chemical exposure and dyspnea in the last 12months using proc surveylogistic in SAS 9.3 statistical software excluding people who had received a diagnosis of hypertension or obesity that can affect the respiratory distress symptoms(n=27,842). Results: Chemical exposure among workers was associated with dyspnea after adjustment for demographics and job characteristics. Prevalence of dyspnea was 4.9 per 1,000 among men and 5.8 per 1,000. Compared to a total score of 0 points of chemical exposure among workers, a total score of 1, 2-3, and 4 points tended to have increased risk of dyspnea in a dose-response manner for both men (OR=1.43, 1.93, and 4.26; P-for trend=0.002) and women(OR=1.10, 2.81, and 7.70; P-for trend=0.002). Stratified analysis by duration of current job showed that the association between chemical exposure and dyspnea tended to get stronger until 15 years and then disappeared afterwards, which reflects healthy worker survivor effect. Conclusions: We observed significant association between chemical exposure and dyspnea using the data of the $3^{rd}$ Korea Working Conditions Survey. Our results warrants providing knowledge related to chemical exposure, performing prevention activities, and creating various health policies to protect workers.

• 한국식품위생안전성학회지
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• 제22권1호
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• pp.1-14
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• 2007

The term, "food safety", has traditionally been viewed as a practical science aimed at assuring the prevention acute illnesses caused by biological microorganisms, and only to a minor extent, chronic diseases cause by chronic low level exposures to natural and synthetic chemicals or pollutants. "food safety" meant to prevent microbiological agents/toxins in/on foods, due to contamination any where from "farm to Fork", from causing acute health effects, especially to the young, immune-compromised, genetically-predisposed and elderly. However, today a broader view must also include the fact that diet, perse (nutrients, vitamins/minerals, calories), as well as low level toxins and pollutant or supplemented synthetic chemicals, can alter gene expressions of stem/progenitor/terminally-differentiated cells, leading to chronic inflammation and other mal-functions that could lead to diseases such as cancer, diabetes, atherogenesis and possibly reproductive and neurological disorders. Understanding of the mechanisms by which natural or synthetic chemical toxins/toxicants, in/on food, interact with the pathogenesis of acute and chronic diseases, should lead to a "systems" approach to "food safety". Clearly, the interactions of diet/food with the genetic background, gender, and developmental state of the individual, together with (a) interactions of other endogenous/exogenous chemicals/drugs; (b) the specific biology of the cells being affected; (c) the mechanisms by which the presence or absence of toxins/toxicants and nutrients work to cause toxicities; and (d) how those mechanisms affect the pathogenesis of acute and/or chronic diseases, must be integrated into a "system" approach. Mechanisms of how toxins/toxicants cause cellular toxicities, such as mutagenesis; cytotoxicity and altered gene expression, must take into account (a) irreversible or reversal changes caused by these toxins or toxicants; (b)concepts of thresholds or no-thresholds of action; and (c) concepts of differential effects on stem cells, progenitor cells and terminally differentiated cells in different organs. This brief Commentary tries to illustrate this complex interaction between what is on/in foods with one disease, namely cancer. Since the understanding of cancer, while still incomplete, can shed light on the multiple ways that toxins/toxicants, as well as dietary modulation of nutrients/vitamins/metals/ calories, can either enhance or reduce the risk to cancer. In particular, diets that alter the embryo-fetal micro-environment might dramatically alter disease formation later in life. In effect "food safety" can not be assessed without understanding how food could be 'toxic', or how that mechanism of toxicity interacts with the pathogenesis of any disease.

• 한국환경과학회지
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• 제25권10호
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• pp.1349-1368
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• 2016

Concentrations of fine particulate matter ($PM_{2.5}$) and several of its particle constituents measured outside homes in Houston, Texas, and Los Angeles, California, were characterized using multiple regression analysis with proximity to point and mobile sources and meteorological factors as the independent variables. $PM_{2.5}$ mass and the concentrations of organic carbon (OC), elemental carbon (EC), benzo-[a]-pyrene (BaP), perylene (Per), benzo-[g,h,i]-perylene (BghiP), and coronene (Cor) were examined. Negative associations of wind speed with concentrations demonstrated the effect of dilution by high wind speed. Atmospheric stability increase was associated with concentration increase. Petrochemical source proximity was included in the EC model in Houston. Area source proximity was not selected for any of the $PM_{2.5}$ constituents' regression models. When the median values of the meteorological factors were used and the proximity to sources varied, the air concentrations calculated using the models for the eleven $PM_{2.5}$ constituents outside the homes closest to influential highways were 1.5-15.8 fold higher than those outside homes furthest from the highway emission sources. When the median distance to the sources was used in the models, the concentrations of the $PM_{2.5}$ constituents varied 2 to 82 fold, as the meteorological conditions varied over the observed range. We found different relationships between the two urban areas, illustrating the unique nature of urban sources and suggesting that localized sources need to be evaluated carefully to understand their potential contributions to $PM_{2.5}$ mass and its particle constituents concentrations near residences, which influence baseline indoor air concentrations and personal exposures. The results of this study could assist in the appropriate design of monitoring networks for community-level sampling and help improve the accuracy of exposure models linking emission sources with estimated pollutant concentrations at the residential level.