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정재운,장정렬,정지연,최강원,임병진,김상돈,김갑순,윤광식,Jung, Jae-Woon,Jang, Jeong-Ryeol,Jung, Ji-Yeon,Choi, Kang-Won,Lim, Byung-Jin,Kim, Sang-Don,Kim, Kap-Soon,Yoon, Kwang-Sik 한국관개배수위원회 2011 한국관개배수논문집 Vol.18 No.1
The HSPF (Hydrological Simulation Program-Fortran) model was applied to Mangyeong river watershed to examine its applicability through calibration using monitoring data. For the model application, digital maps were constructed for watershed boundary, land-use, Digital Elevation Model of Mangyeong river watershed using BASINS (Better Assessment Science for Intergrating point and Nonpoint Sources) program. The observed runoff was 1976.4mm while the simulated runoff was 1913.4mm from 2007 to 2008. The model results showed that the simulated runoff was in a good agreement with the observed data and indicated reasonable applicability of the model. In terms of water quality, trends of the observed value were in a good agreement with simulated value despite its model performance lower than expected. However, its reliability and performance were with the expectation considering complexity of the watershed, pollutant sources and land use intermixed in the watershed. Overall, we identified application of HSPF model as reliable evidence by model performance.
Deployment of Cloud Computing in Logistics Industry
정재운,김현수,Jung, Jae Un,Kim, Hyun Soo The Society of Digital Policy and Management 2014 디지털융복합연구 Vol.12 No.2
클라우드 컴퓨팅(클라우드)은 물류정보시스템이 갖는 취약점(표준화할 수 없는 복잡 다양한 방식, 지리적 산재 및 매끄럽지 못한 연계성 등)의 보완 및 물류의 혁신적 활동을 지원할 수 있는 안성맞춤의 기술로 여겨진다. 이러한 의미에서 본 연구는 물류산업에 특화된 클라우드 활용 방안을 연구하고자 하였다. 이를 위해 물류분야의 클라우드 관련 최신 동향 분석, 물류산업에서 필요로 하는 클라우드와 플랫폼, 도입 방안에 대한 분석을 진행하였다. 본 연구는 후속연구에서 물류분야에 특화된 클라우드의 개발 방향을 설정하고, 보다 구체화된 클라우드를 개발하는 데 시사점을 제공한다. Cloud computing(cloud) is a good candidate for complementing weaknesses of logistics information systems(heterogeneous processes not able to be standardized, geographically scattered and seamed connectivity, etc.) and for supporting innovative activities of logistics. In this sense, we aimed to study deployment strategies of clouds specified in the logistics industry. To achieve our research goal, we reviewed up-to-date logistics clouds researches and analysis of clouds; platforms and deployment strategies for logistics. This study contributes to follow-up researches for establishing a development direction of logistics specific clouds and developing more concrete clouds for logistics.
정재운,윤광식,주석훈,최우영,이용운,류덕희,이수웅,장남익,Jung, Jae-Woon,Yoon, Kwang-Sik,Joo, Seuk-Hun,Choi, Woo-Young,Lee, Yong-Woon,Rhew, Doug-Hee,Lee, Su-Woong,Chang, Nam-Ik 한국농공학회 2009 한국농공학회논문집 Vol.51 No.6
In this study, pollutant loads delivery ratio by flow duration in Hwangryoung A watershed was estimated. The delivery ratio was estimated with measured data by Ministry of Environment(MOE) and the regression equation based on geomorphic parameters. Eight day interval flow data measured by the MOE were converted to daily flow to calculate daily load and flow duration curve by correlating data of neighboring station which has daily flow data. Regression equation developed by previous study was tested to study watershed and found to be satisfactory. The delivery ratios estimated by two methods were compared. For the case of Biochemical oxygen demand(BOD), the delivery ratios of low flow condition were 7.6 and 15.5% by measured and regression equation, respectively. Also, the delivery ratios of Total phosphorus(T-P) for normal flow condition were 13.3 and 6.3% by measured and regression equation, respectively.
An Improvement of Coherence and Validity between CLD and SFD of System Dynamics
정재운,김현수,Jung, Jae Un,Kim, Hyun Soo The Society of Digital Policy and Management 2014 디지털융복합연구 Vol.12 No.6
시스템 다이내믹스(SD)는 복잡계 이론 중의 하나로서 사회과학 분야에서 동태적 문제의 분석 및 정책(전략) 개발을 위한 컴퓨터 기반의 시뮬레이션 연구방법론으로 많은 관심을 받아 왔다. 하지만 지난 50여 년간 다양한 분야에서 이 방법론으로 만들어진 모형 중에는 아직 검증이 제대로 되지 않은 채 시스템다이내믹스의 구성이론을 대표하는 모형으로 활용되는 사례들이 있다. 이에 본 연구에서는 SD의 이론을 설명하는 데 자주 활용되는 인구 동태학 모형을 대상으로 인과적 피드백 구조와 지배적 피드백 루프의 추론 오류를 증명하고, 인과지도(causal loop diagram)와 저량-유량 다이어그램(stocks-and-flows diagram) 간의 일관성 강화 전략을 통해 기존 모형의 타당성을 개선하였다. 본 연구의 결과는 기존 시스템다이내믹스의 이론적 발전과 시스템다이내믹스를 활용한 정책 연구모형의 타당성 강화에 기여한다. System Dynamics(SD) is one of the complexity theories that has attracted attention as a computer-aided simulation methodology to analyze a dynamic problem and to develop a policy(strategy) in social science. Though there are properly unproven cases in research models which were developed in various fields by SD methodology during the last five decades, they are utilized as models to represent SD sub-theories. For this reason, this study targeted the population dynamics model which was frequently utilized to explain SD fundamentals and it proved errors of reasoning a structure of the existing causal and dominant feedback loop. Consequently, we presented a strategy to strengthen the coherence between CLD(causal loop diagram) and SFD(stocks-and-flows diagram) for improving validity of the existing model. The findings of this study contribute to the advancement of the existing SD and to the reinforcement of validation for policy research models of SD.
정재운,Jung, Jae Un The Society of Digital Policy and Management 2018 디지털융복합연구 Vol.16 No.8
최근 고급 예측모형 연구에 웹 검색 정보가 활용되고 있다. 세계 웹 검색시장에서 구글이 절대적 우위를 점하고 있지만, 국내 웹 검색시장에서는 네이버가 절대적 우위를 보이고 있다. 이러한 특성을 토대로 본 연구는 예측모형을 활용하여 구글과 네이버의 한국어 검색 정보에 대한 유용성을 비교해 보고자 한다. 이를 위해 ARIMA 모형을 활용하여 세 가지의 한국 청년실업률 예측 시계열 모형을 개발하였다. 모형1은 한국 청년실업률 데이터만 사용하였으며, 모형2와 3은 모형1에 네이버와 구글의 검색어 정보를 각각 추가하였다. 모형 훈련기간에서는 모형1보다 모형2와 3이 더 우수한 예측력을 보였다. 모형2와 3은 서로 다른 검색어 정보와 상관관계를 보였으며, 예측기간 1과 2에서 모형3이 가장 좋은 성능을 보였다. 예측기간 2에서는 모형 3만 유의미한 예측결과를 나타내었다. 이 비교 연구는 네이버와 구글 검색엔진을 이용한 한국어 웹 검색 정보의 유용성을 이해하는 데 도움을 준다. Recently, web search query information has been applied in advanced predictive model research. Google dominates the global web search market in the Korean market; however, Naver possesses a dominant market share. Based on this characteristic, this study intends to compare the utility of the Korean web search query information of Google and Naver using predictive models. Therefore, this study develops three time-series predictive models to estimate the youth unemployment rate in Korea using the ARIMA model. Model 1 only used the youth unemployment rate in Korea, whereas Models 2 and 3 added the Korean web search query information of Naver and Google, respectively, to Model 1. Compared to the predictability of the models during the training period, Models 2 and 3 showed better fit compared with Model 1. Models 2 and 3 correlated different query information. During predictive periods 1 (continuous with the training period) and 2 (discontinuous with the training period), Model 3 showed the best performance. During predictive period 2, only Model 3 exhibited a significant prediction result. This comparative study contributes to a general understanding of the usefulness of Korean web query information using the Naver and Google search engines.
정재운,장정렬,최강원,임병진,이영재,강재홍,박혜린,조소현,Jung, Jae-Woon,Jang, Jeong-Ryeol,Choi, Kang-Won,Lim, Byung-Jin,Lee, Young-Jae,Kang, Jae-Hong,Park, Hye-Lin,Cho, So-Hyun 한국관개배수위원회 2010 한국관개배수논문집 Vol.17 No.2
For efficient water quality management of Saemangeum lake, it is very important to accurately analyze discharged load characteristics using investigated pollution sources data from Saemangeum watershed. Investigation of pollution sources was conducted from 2003 to 2007. In this study, pollution sources are largely classified into human population, livestock, industry, and land use. Discharged loads of BOD, T-N and T-P from classified pollution sources were calculated by Korea TMDL (Total Maximum Daily Load) technical guideline. The calculated results showed that the major sources of BOD and T-N were land use, human population, livestock, and industry in order. However, the major sources of T-P were livestock, land use, human population, and industry in order. Our results clearly show that pollution sources of the priority management for water quality enhancement in the Saemangeum lake has represented land use and livestock.
비가림 조건에서 시비에 대한 논담수 중 총질소 및 총인 농도 반응
정재운,최우정,윤광식,김한용,곽진협,임상선,장남익,허유정,Jung, Jae-Woon,Choi, Woo-Jung,Yoon, Kwang-Sik,Kim, Han-Yong,Kwak, Jin-Hyeob,Lim, Sang-Sun,Chang, Nam-Ik,Huh, Yu-Jeong 한국관개배수위원회 2007 한국관개배수논문집 Vol.14 No.1
Temporal changes in total nitrogen (T-N) and phosphorus (T-P) concentrations in paddy floodwater in response to fertilization under rain-shielding pot and small-scaled field conditions were investigated. On the basis of the changing patterns, suggestions for the use of fertilization factors, such as days after fertilization, in developing models for the estimation of T-N and T-P loads from paddy fields were made. Total N concentration was susceptible to fertilization, showing a peak concentration right after fertilization followed by a decreasing pattern with the elapse of days after fertilization. The decreasing pattern of T-N concentration followed the first- order kinetics, indicating that the models are likely to be an exponential equation using days after fertilization as an independent variable. Comparison between the pot and field experiments conducted with soils different in soil fertility revealed that indigenous soil N concentration significantly affected T-N concentration, and this suggests that soil N status can be used as the second variable for the models. Meanwhile, temporal changes in T-P concentration did not respond to P fertilization as sensitively as T-N. In combination with other published results, our study suggests that rainfall intensity and other factors associated with farming activities that are likely to cause disturbance of soil particles containing P may be used as possible variables for the models.
하천수내 TOC 농도 추정을 위한 단순회귀모형과 다중회귀모형의 개발과 평가
정재운 ( Jae Woon Jung ),조소현 ( So Hyun Cho ),최진희 ( Jin Hee Choi ),김갑순 ( Kapsoon Kim ),정수정 ( Soo Jung Jung ) 한국물환경학회 2013 한국물환경학회지 Vol.29 No.5
The objective of this study is to develop and evaluate simple and multiple regression models for Total Organic Carbon (TOC) concentration estimation in stream flow. For development (using water quality data in 2012) and evaluation (using water quality data in 2011) of regression models, we used water quality data from downstream of Yeongsan river basin during 2011 and 2012, and correlation analysis between TOC and water quality parameters was conducted. The concentrations of TOC were positively correlated with Chemical Oxygen Demand (COD), Biochemical Oxygen Demand (BOD), TN (Total Nitrogen), Water Temperature (WT) and Electric Conductivity (EC). From these results, simple and multiple regression models for TOC estimation were developed as follows : TOC=0.5809×BOD+3.1557, TOC=0.4365×COD+1.3731. As a result of the application evaluation of the developed regression models, the multiple regression model was found to estimate TOC better than simple regression models.