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      • KCI등재

        계사 및 우사 내 암모니아 및 황화수소 노출농도 평가

        박지훈,석지원,이상아,권오훈,이경숙,허용,윤충식,Park, Jihoon,Seok, Jiwon,Lee, Sangah,Kwon, Ohhun,Lee, Kyungsuk,Heo, Yong,Yoon, Chungsik 한국환경보건학회 2015 한국환경보건학회지 Vol.41 No.5

        Objectives: There are many hazardous agents at livestock farms. In particular, gases can be detrimental to both workers and animals. This study evaluated ammonia and hydrogen sulfide concentrations in broiler hen barns and beef cattle barns according to sampling location and height. Methods: Three broiler hen barns and three beef cattle barns were selected for gas monitoring in this study. Ammonia and hydrogen sulfide concentrations were measured using a direct-reading instrument which could measure the target gases simultaneously. Gas monitoring was conducted at human breathing height and animal breathing height at three points in each livestock farm. Results: Ammonia concentrations at the broiler hen barns ranged from 3.3 to 12.5 ppm by sampling location and height, but hydrogen sulfide was not detected. In the beef cattle barns, ammonia ranged from 3.1 to 16.3 ppm and low concentrations of hydrogen sulfide were detected at some animal breathing heights. The gas concentrations detected at each livestock farm were significantly higher in the animal breathing zones than in human breathing zones (p<0.0001). Conclusions: We found a difference in gas concentrations between human breathing zones and animal breathing zones. Gas monitoring should be conducted to improve the related environment considering both workers' and animals' health and safety.

      • KCI등재

        RCP4.5 시나리오에 따른 IDF 곡선 분석: 우리나라 30개 저수지를 대상으로

        박지훈,강문성,송인홍,황순호,송정헌,Park,Jihoon,Kang,Moon Seong,Song,Inhong,Hwang,Soon Ho,Song,Jung-Hun 한국방재학회 2013 한국방재학회논문집 Vol.13 No.6

        본 연구의 목적은 우리나라 30개 저수지의 미래 IDF (Intensity-Duration-Frequency) 곡선을 산정하여 기후변화로 인한 영향을 분석하는 것이다. RCP (Representative Concentration Pathways) 시나리오를 기반으로 하는 미래 강수자료에 내재하는 계통적 오차를 분위사상법을 이용하여 보정하였고, 미래를 3기간(2025s: 2011~2040, 2055s: 2041~2070, and 2085s: 2071~2100)으로 나누어 미래 강수량의 변화를 분석하였다. 강수자료의 최적 분포형과 매개변수 추정 방법으로 Gumbel 분포와 확률가중모멘트법을 선정하였다. 한강유역, 금강유역, 영산강유역의 강우강도는 현재 1990s 기간에 비해 미래 2085s 기간에 크게 증가하였고, 낙동강유역의 강우강도는 현재 1990s 기간에 비해 미래 2025s 기간에 크게 증가하는 것으로 분석되었다. 본 연구에서 새롭게 도출한 IDF 곡선은 기후변화를 구조물 설계에 반영함으로써 농업용 저수지의 안정성을 증진시킬 수 있을 것이라 사료된다. The main objective of this study is to evaluate the impact of climate change on Intensity-Duration-Frequency (IDF) curves for the selected 30-Reservoirs in South Korea. A bias inherent in future precipitation data based on Representative Concentration Pathways (RCP) scenario was corrected by a quantile mapping method. The trends in future precipitation changes were analyzed for the three different time periods (correspond to 2025s: 2011~2040, 2055s: 2041~2070, and 2085s: 2071~2100). Gumbel distribution was selected as the probability distribution and parameters were estimated by probability weighted moment method. Rainfall intensity of Han, Geum and Yeongsan river watersheds was greatly increased in 2085s period than 1990s period. Rainfall intensity of Nakdong river watershed appeared to increase sharply in 2025s period than 1990s period. The newly developed IDF curve might enhance the stability of agricultural reservoirs through considering climate change impact into structure design process.

      • KCI등재

        분위사상법을 이용한 RCP 기반 미래 극한강수량 편의보정 ; 우리나라 20개 관측소를 대상으로

        박지훈,강문성,송인홍,Park, Jihoon,Kang, Moon Seong,Song, Inhong 한국농공학회 2012 한국농공학회논문집 Vol.54 No.6

        The objective of this study was to correct the bias of the Representative Concentration Pathways (RCP)-based future precipitation data using a quantile mapping method. This method was adopted to correct extreme values because it was designed to adjust simulated data using probability distribution function. The Generalized Extreme Value (GEV) distribution was used to fit distribution for precipitation data obtained from the Korea Meteorological Administration (KMA). The resolutions of precipitation data was 12.5 km in space and 3-hour in time. As the results of bias correction over the past 30 years (1976~2005), the annual precipitation was increased 16.3 % overall. And the results for 90 years (divided into 2011~2040, 2041~2070, 2071~2100) were that the future annual precipitation were increased 8.8 %, 9.6 %, 11.3 % respectively. It also had stronger correction effects on high value than low value. It was concluded that a quantile mapping appeared a good method of correcting extreme value.

      • KCI등재

        분위사상법을 적용한 RCP 시나리오 기반 시군별 홍수 위험도 평가

        박지훈,강문성,송인홍,Park, Jihoon,Kang, Moon Seong,Song, Inhong 한국농공학회 2013 한국농공학회논문집 Vol.55 No.4

        The main objective of this study was to evaluate Representative Concentration Pathways (RCP) scenarios-based flood risk at a Si-Gun level. A bias correction using a quantile mapping method with the Generalized Extreme Value (GEV) distribution was performed to correct future precipitation data provided by the Korea Meteorological Administration (KMA). A series of proxy variables including CN80 (Number of days over 80 mm) and CX3h (Maximum precipitation during 3-hr) etc. were used to carry out flood risk assessment. Indicators were normalized by a Z-score method and weighted by factors estimated by principal component analysis (PCA). Flood risk evaluation was conducted for the four different time periods, i.e. 1990s, 2025s, 2055s, and 2085s, which correspond to 1976~2005, 2011~2040, 2041~2070, and 2071~2100. The average flood risk indices based on RCP4.5 scenario were 0.08, 0.16, 0.22, and 0.13 for the corresponding periods in the order of time, which increased steadily up to 2055s period and decreased. The average indices based on RCP8.5 scenario were 0.08, 0.23, 0.11, and 0.21, which decreased in the 2055s period and then increased again. Considering the average index during entire period of the future, RCP8.5 scenario resulted in greater risk than RCP4.5 scenario.

      • KCI등재

        농촌유역 물순환 해석을 위한 웹기반 자료 전처리 및 모형 연계 기법 개발

        박지훈,강문성,송정헌,전상민,김계웅,류정훈,Park, Jihoon,Kang, Moon Seong,Song, Jung-Hun,Jun, Sang Min,Kim, Kyeung,Ryu, Jeong Hoon 한국농공학회 2015 한국농공학회논문집 Vol.57 No.5

        Establishment of appropriate data in certain formats is essential for agricultural water cycle analysis, which involves complex interactions and uncertainties such as climate change, social & economic change, and watershed environmental change. The main objective of this study was to develop web-based Data processing and Model linkage Techniques for Agricultural Water-Resource analysis (AWR-DMT). The developed techniques consisted of database development, data processing technique, and model linkage technique. The watershed of this study was the upper Cheongmi stream and Geunsam-Ri. The database was constructed using MS SQL with data code, watershed characteristics, reservoir information, weather station information, meteorological data, processed data, hydrological data, and paddy field information. The AWR-DMT was developed using Python. Processing technique generated probable rainfall data using non-stationary frequency analysis and evapotranspiration data. Model linkage technique built input data for agricultural watershed models, such as the TANK and Agricultural Watershed Supply (AWS). This study might be considered to contribute to the development of intelligent watercycle analysis by developing data processing and model linkage techniques for agricultural water-resource analysis.

      • 연탄 화력발전소 보일러에서 다탄종 연소가 슬래깅 발생에 미치는 영향

        박지훈,유호선,Park, Jihoon,Yoo, Hoseon 한국플랜트학회 2022 플랜트 저널 Vol.18 No.1

        In this study, I analyzed the effect of slagging caused by blending bituminous coal and subbituminous coal while maintaining the generator output, combustion conditions, and ventilation conditions for 870MW thermal power plant designed with bituminous coal. Accordingly I proposed an acceptable method of blending coal method. the blending ratio of sub-bituminous coal was adjusted to 10%, 20%, 40%, 60%, 80%, etc. to confirm ultimate analysis, proximate analysis, ash fusion temperature change, slagging indices, etc. Proper blending coal conditions are blending with sub-bituminous coal at 40% or less, ratio of base component to acid component(B/A) is 0.4 or less or 1 or more, total alkali(TA) is 3.5 or less, fusion slagging index(Rfs) is 1,345℃ or more, and ash content is 13% or less in ultimate analysis, the ash content in proximate analysis is 15% or less, and the initial deformation temperature(IDT) should be at least 1,200℃ or more

      • KCI등재

        해상초계기 주요 항공전자장비 신뢰도 성장 분석 및 운용가용도 시뮬레이션

        박지훈,마정목,Park, Jihoon,Ma, Jungmok 한국군사과학기술학회 2020 한국군사과학기술학회지 Vol.23 No.2

        Failure of essential avionic equipments have a significant impact on the operations and safety of P-3 maritime patrol aircraft. Therefore, avionic equipments of P-3 are required to have higher reliability. Based on the field failure data, this paper studies the reliability growth of essential avionic equipments in P-3 using Duane model. Additionally, a simulation model is built and implemented for identifying the operational availability according to the field failure data of avionic equipments.

      • KCI등재

        CMIP5 GCMs과 추정 방법에 따른 우리나라 기준증발산량 평가

        박지훈,조재필,이은정,정임국,Park, Jihoon,Cho, Jaepil,Lee, Eun-Jeong,Jung, Imgook 한국농촌계획학회 2017 농촌계획 Vol.23 No.4

        The main objective of this study was to assess reference evapotranspiration based on multiple GCMs (General Circulation Models) and estimation methods. In this study, 10 GCMs based on the RCP (Representative Concentration Pathway) 4.5 scenario were used to estimate reference evapotranspiration. 54 ASOS (Automated Synoptic Observing System) data were constructed by statistical downscaling techniques. The meteorological variables of precipitation, maximum temperature and minimum temperature, relative humidity, wind speed, and solar radiation were produced using GCMs. For the past and future periods, we estimated reference evapotranspiration by GCMs and analyzed the statistical characteristics and analyzed its uncertainty. Five methods (BC: Blaney-Criddle, HS: Hargreaves-Samani, MK: Makkink, MS: Matt-Shuttleworth, and PM: Penman-Monteith) were selected to analyze the uncertainty by reference evapotranspiration estimation methods. We compared the uncertainty of reference evapotranspiration method by the variable expansion and analyzed which variables greatly influence reference evapotranspiration estimation. The posterior probabilities of five methods were estimated as BC: 0.1792, HS: 0.1775, MK: 0.2361, MS: 0.2054, and PM: 0.2018. The posterior probability indicated how well reference evapotranspiration estimated with 10 GCMs for five methods reflected the estimated reference evapotranspiration using the observed data. Through this study, we analyzed the overall characteristics of reference evapotranspiration according to GCMs and reference evapotranspiration estimation methods The results of this study might be used as a basic data for preparing the standard method of reference evapotranspiration to derive the water management method under climate change.

      • 실내 위치 측위를 통한 D2D 통신 성공 확률 (Opportunity Probability) 측정 및 예측

        한규원(Kyuwon Han),남혜린(Hyelin Nam),박지훈(Jihoon Park),성명훈(Meonghoon Seong),김성륜(Seong-Lyun Kim) 한국통신학회 2022 한국통신학회 학술대회논문집 Vol.2022 No.2

        본 논문에서는 실내 측위를 진행하고, 그 결과를 바탕으로 D2D 통신 성공 확률인 Opportunity probability (OP)를 예측 및 측정하여 그 값을 비교하는 실험을 소개한다. 실내 측위를 위해서 스마트폰의 관성 측위 센서와 이를 보정하기 위한 딥러닝 네트워크, 그리고 WiFi RTT를 융합한 측위 기법이 사용되었다. 그 결과 OP값을 중위값 90% 이상으로 예측하는 데 성공하였다.

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