• Title/Summary/Keyword: Integrated Modeling

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System Development for the Estimation of Pollutant Loads on Reservoir (저수지 유역의 오염부하 산정 시스템 개발)

  • Sim, Sun-Bo;Lee, Yo-Sang;Go, Deok-Gu
    • Journal of Korea Water Resources Association
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    • v.31 no.1
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    • pp.35-44
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    • 1998
  • An integrated system of GIS and water quality model was suggested including the pollutant loads from the watershed. The developed system consists of two parts. First part is the GIS module. The geographic information system of the study area was built to provide the information on landuse and several surface factors concerning the overland flow processes of water and pollutants. Second part is the modeling modules which include storm event pollutant load model(SEPLM)., non-storm event pollutant load model(NSPLM), and river water quality simulation model(RWQSM). Models can calculate the pollutant load from the study area. The databases and models are linked through the interface modules resided in the overall system, which incorporate the graphical display modules and the operating scheme for the optimal use of the system. The developed system was applied to the Chungju multi-purpose reservoir to estimate the pollutant load during the four selected rainfall events between 1991 and 1993,. based upon monthly basis and seasonal basis in drought flow, low flow, normal flow and wet flow.

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Performance of NCAR Regional Climate Model in the Simulation of Indian Summer Monsoon (NCAR 지역기후모형의 인도 여름 몬순의 모사 성능)

  • Singh, Gyan Prakash;Oh, Jai-Ho
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.12 no.3
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    • pp.183-196
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    • 2010
  • Increasing human activity due to rapid economic growth and land use change alters the patterns of the Asian monsoon, which is key to crop yields in Asia. In this study, we tested the performance of regional climate model (RegCM3) by simulating important components of Indian summer monsoon, including land-ocean contrast, low level jet (LLJ), Tibetan high and upper level Easterly Jet. Three contrasting rain years (1994: excess year, 2001: normal year, 2002: deficient year) were selected and RegCM3 was integrated at 60 km horizontal resolution from April 1 to October 1 each year. The simulated fields of circulations and precipitation were validated against the observation from the NCEP/NCAR reanalysis products and Global Precipitation Climatology Centre (GPCC), respectively. The important results of RegCM3 simulations are (a) LLJ was slightly stronger and split into two branches during excess rain year over the Arabian Sea while there was no splitting during normal and deficient rain years, (b) huge anticyclone with single cell was noted during excess rain year while weak and broken into two cells in deficient rain year, (c) the simulated spatial distribution of precipitation was comparable to the corresponding observed precipitation of GPCC over large parts of India, and (d) the sensitivity experiment using NIMBUS-7 SMMR snow data indicated that precipitation was reduced mainly over the northeast and south Peninsular India with the introduction of 0.1 m of snow over the Tibetan region in April.

Intelligent integration of Ontology and Multi-agents Coordination Mechanism in Ubiquitous Decision Support System Portal (유비쿼터스 환경에서 다중 의사결정지원을 위한 지능형 온톨로지 통합 및 다중에이전트 관리 시스템 : u-Fulfillment 도메인 중심)

  • Lee, Hyun-Jung;Lee, Kun-Chang;Sohn, M-Ye M.
    • Journal of Intelligence and Information Systems
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    • v.14 no.1
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    • pp.47-66
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    • 2008
  • This study is aimed at proposing a new type of ubiquitous decision support system (u-DSS) portal which is embedded with two important mechanisms like an intelligent ontology management module (i-OMM) and multi-agent coordination mechanism (MACM). The proposed portal provides timely decision support to the involved decision entities (represented as agents) by taking advantage of the two mechanisms embedded on the portal. The most important virtue of the proposed portal is that it can resolve two problems such as semantic discordance and data confliction which are occurring very often in an ubiquitous computing environment. Frequent requests of revising the already established decision information due to the rapid changes in decision entities' requirements require the extremely flexible and intelligent u-DSS vehicle like theproposed mechanism. In this sense, the i-OMM is designed to provide support to solving the semantic discordance in the way that the i-OMM virtually integrates ontology view (IOV) to integrate heterogeneous ontology among the agents engaged inubiquitous commerce situations. Then the i-OMM sends the IOV to the MACM to resolve the conflicts among the involved agents. The proposed u-DSS portal was applied to the u-fulfillment problem in which all the involved decisionagents need their own requirements to be satisfied seamlessly and timely. The experimental results show that the proposed u-DSS portal is very robust and promising in the field of u-DSS and context modeling.

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The Effects of Functional Capacity and Depression on the Life Satisfaction among the Elderly: Focused on the Mediating Effects of Spirituality (노인의 기능적 능력과 우울이 삶의 만족도에 미치는 영향: 영성의 매개효과를 중심으로)

  • Park, Sunae;Hur, Junsoo
    • 한국노년학
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    • v.37 no.1
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    • pp.125-149
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    • 2017
  • The purpose of this study is to analyse the mediating effects of spirituality on the relationship between functional capacity and depression among the elderly. The conceptual framework was based on the integrated theory by Brief et al.(1993) to life satisfaction. The sample was collected through convenience sampling of 413 elderly persons who were 65 years of age or older drawn from senior welfare centers, community senior centers, and religious institutions in Seoul, Incheon, and Gyeonggi Province. Data analysis was performed using Structural Equation Modeling(SEM). The main findings of the present study are as following: First, spirituality had the mediated effects on which depression and IADL influenced life satisfaction. Particularly, existential spirituality on life satisfaction had larger effect size than religious spirituality. Second, the results showed that religious spirituality had positive effects on existential spirituality. These findings demonstrate that the development and implementation of programs geared for fostering religious spirituality and existential spirituality of senior citizens are needed to improve life satisfaction in the field of social welfare. To this end, the foundation of spiritual practice in the field of social work with older people should be constructed through a spirituality-related system and professional training.

A Study on Development of Teaching & Learning Materials related to Coding for Convergence Education Integrating Mathematics and Information (수학·정보 융합교육을 위한 코딩과 연계한 교수학습 자료 개발 연구)

  • Shin, Gicheol;Suh, Boeuk
    • Journal of Science Education
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    • v.43 no.1
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    • pp.17-42
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    • 2019
  • This study, as an attempt to integrate mathematics and information for convergence education, was conducted to develop teaching-learning materials on mathematics education combined with coding education, which has recently been emphasized. We chose the subject of digital signature for coding education, and used SageMath as a coding program. In this study, we overview mathematics used in the elliptic curve digital signature algorithm, one of the many methods for digital signature, and developed the teaching-learning materials on the algorithm for mathematics education integrated with information education based on coding. The elliptic curve digital signature algorithm utilized in transactions of Bitcoin, which many people recently are interested in, is a good example, showing students that mathematics is applied to problem-solving in the real world and provides an optimal environment for implementation by coding. Accordingly, we expect that a class on algorithm will provide a specific teaching-learning program to achieve the goal of integrated mathematics education. By comprehensively considering the opinions of mathematicians, mathematics teachers and mathematics education experts, we expect that the teaching-learning program will be realized as a meaningful class in science high schools, high school's math clubs, and 'number theory' class in colleges.

Review on the Recent Membrane Technologies for Pressure Retarded Osmosis (압력지연삼투를 위한 최근 분리막 기술에 관한 총설)

  • Jeon, Sungsu;Patel, Rajkumar;Kim, Jong Hak
    • Membrane Journal
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    • v.31 no.4
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    • pp.253-261
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    • 2021
  • Solutions to water pollution, global warming, and climate change have been currently discussed. Pressure retarded osmosis (PRO) using a difference in salt concentration between two fluids is proposed to meet the demand for clean water and produce eco-friendly energy. Although PRO has been researched continuously, it has not been commercialized yet due to limitations such as lack of technology and the high price of membranes. Meanwhile, the membrane is one of the most significant parts of the PRO engine and salinity gradient power (SGP) technology. Research continues to technologically develop graphene oxide membranes and nanocomposite membranes used in salinity gradient power generation. Studies on efficient membranes, solvents, and solutes are active to enable high energy efficiency of the osmotic heat engine even at low temperatures of waste. Studies have been conducted on reducing internal concentration polarization and increasing power density by using membranes with balanced permeability and selectivity. In this review, dealing with these studies, we discuss the types of PRO membranes, theoretical modeling of technologies through efficient membranes, and other technologies to develop the process efficiency.

Practical Numerical Model for Wave Propagation and Fluid-Structure Interaction in Infinite Fluid (무한 유체 영역에서의 파전파 해석 및 유체-구조물 상호작용 해석을 위한 실용적 수치 모형)

  • Cho, Jeong-Rae;Han, Seong-Wook;Lee, Jin Ho
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.34 no.6
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    • pp.427-435
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    • 2021
  • An analysis considering the fluid-structure interaction is required to strictly evaluate the seismic behavior of facilities such as, environmental facilities and dams, that store fluids. Specifically, in the case of an infinite domain in the upstream direction, such as a dam-reservoir system, this should be carefully considered. In this study, we proposed a practical numerical model for both wave propagation and fluid-structure interaction analyses of an infinite domain, for a system with a semi-infinite domain such as a dam-reservoir system. This method was applicable to the time domain, and enabled accurate boundary analysis. For an infinite fluid domain, a small number of mid-point integrated acoustic finite elements were applied instead of a general acoustic finite element, and a viscous boundary was imposed on the outermost boundary. The validity and accuracy of the proposed method were secured by comparing analytic solutions of a reservoir having infinite domain, with the parametric analysis results, for the number of elements and the size of the modeling region. Furthermore, the proposed method was compared with other fluid-structure interaction methods using additional mass.

Managing the Reverse Extrapolation Model of Radar Threats Based Upon an Incremental Machine Learning Technique (점진적 기계학습 기반의 레이더 위협체 역추정 모델 생성 및 갱신)

  • Kim, Chulpyo;Noh, Sanguk
    • The Journal of Korean Institute of Next Generation Computing
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    • v.13 no.4
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    • pp.29-39
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    • 2017
  • Various electronic warfare situations drive the need to develop an integrated electronic warfare simulator that can perform electronic warfare modeling and simulation on radar threats. In this paper, we analyze the components of a simulation system to reversely model the radar threats that emit electromagnetic signals based on the parameters of the electronic information, and propose a method to gradually maintain the reverse extrapolation model of RF threats. In the experiment, we will evaluate the effectiveness of the incremental model update and also assess the integration method of reverse extrapolation models. The individual model of RF threats are constructed by using decision tree, naive Bayesian classifier, artificial neural network, and clustering algorithms through Euclidean distance and cosine similarity measurement, respectively. Experimental results show that the accuracy of reverse extrapolation models improves, while the size of the threat sample increases. In addition, we use voting, weighted voting, and the Dempster-Shafer algorithm to integrate the results of the five different models of RF threats. As a result, the final decision of reverse extrapolation through the Dempster-Shafer algorithm shows the best performance in its accuracy.

A Latent Growth Modeling of the Longitudinal Changes of Students' Perception about Schools (학교에 대한 학생인식의 종단적 변화 연구 : 잠재성장모형의 접근)

  • Kim, Soo Jung;Lee, Yunsoo;Song, Miryoung;Song, Ji Hoon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.6
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    • pp.275-285
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    • 2020
  • This study aimed to track changes in students' perception about schools over time, to analyze how participation in the Education Welfare Priority Support Project(hereafter "the Project") explains the changes, and to determine how the results of changes affect students' learning engagement, self-confidence, and peer relationship. Data were collected from 103 schools nation-wide(51 elementary and 52 middle schools) from 2015, 2016 and 2017 from 820, 911, and 837 students, respectively. The data were analyzed by applying a latent growth model with two stages: unconditional and conditional. The findings are that first, the perception about schools by the students who participated in the Project increased over time; and second, that the improvement of students' perception of schools has a positive influence on their learning engagement, self-confidence, and peer relationship. In the future, it was suggested that programs aimed at improving positive perception about schools should be provided to all students led by teachers, and a customized integrated support program should be arranged to students in need of intensive support by the educational welfare specialists.

Simulations of Summertime Surface Ozone Over the Korean Peninsula Under IPCC SRES A2 and B1 Scenarios (IPCC SRES A2와 B1 시나리오에 따른 한반도지역의 여름철 지표 오존의 수치모의)

  • Hong, Sung-Chul;Choi, Jin-Young;Song, Chang-Keun;Hong, You-Deog;Lee, Suk-Jo;Lee, Jae-Bum
    • Journal of Korean Society for Atmospheric Environment
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    • v.29 no.3
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    • pp.251-263
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    • 2013
  • The surface ozone concentrations changes were investigated in response to climate change over the Korean peninsula for summertime using the global-regional one way coupled Integrated Climate and Air quality Modeling System (ICAMS). The future simulations were conducted under the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emissions Scenarios (SRES) A2 and B1 scenarios. The modeling system was applied for four 10-year simulations: 1996~2005 as a present-day case, 2016~2025, 2046~2055, and 2091~2100 as future cases. The results in this study showed that the mean surface ozone concentrations increased up to 0.5~3.3 ppb under the A2, but decreased by 0.1~10.9 ppb under the B1 for the future, respectively. However, its increases were lower than an increase of the average daily maximum 8-hour (DM8H) surface ozone concentrations which was projected to increase by 2.8~6.5 ppb under the A2. The DM8H surface ozone concentrations seem to be therefore far more affected by the climate and emissions changes than mean values. The probability of exceeding 60 ppb was projected to increase by 6~19% under the A2. In the case of B1, its changes were presented with an increase of 2.9% in the 2020s but no occurrence in the 2100s due to the effect of the reduced emissions. Future projection on surface ozone concentrations was generally shown to have almost the similar trend as the emissions of $NO_x$ and NMVOC.