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정남수,이정재,Jung, Nam-Su,Lee, Jeong-Jae 한국농공학회 2006 한국농공학회논문집 Vol.48 No.1
In the evaluation of rural amenities, its properties are related with social, cultural, and environmental elements. In this study, Information Measure Model (IMM) and Cultural Property Priority Assessment Model (CPPAM) were developed adapting information measure model with text based surveying data. To apply developed model not only general properties but also specific surveyed data, Specific Information Gathering and Utilizing System (SIGUS) was constructed using the data in Dusan World encyclopedia. IMM shows priorities of cultural property by information in national-designated cultural properties. And CPPAM applied in surveying data in 2004 by Rural Resources Development Institute.
Development of a Sustainable Regional Economic Growth Model (SREG) Using Multiplier Theory
정남수,Jung, Nam-Su The Korean Society of Agricultural Engineers 2007 한국농공학회논문집 Vol.49 No.1
This paper develops a Sustainable Regional Economic Growth Model (SREG) which estimates the relation of labor population change and employment increase in each occupation and maximum limits and minimum requirements of employment increase by labor population change in a specified region using multiplier theory. To develop the proposed model, sustainable regional economic growth is defined as a steady increase of labor population over a long term period and the limit of employment increase is defined as the estimated labor population change in the region with no need for commutation from the surrounded areas. Developed model was applied to 67 county in Pennsylvania State and the results revealed that the investment in infrastructure occupations, such as transportation, warehousing, utilities, information, communication, and other public utilities, maximizes the effects for increasing employment, whereas finance, insurance, and real estate occupations have minimum effects for increasing employment. Calculated minimum requirements of occupations show that infra-structure occupations is a critical factor for labor population change and maximum limits of occupations show that agriculture and finance occupations are difficult to increase independently.
농촌지역 실버타운의 수요예측을 위한 노인인구이동 모형의 개발
정남수,이정재,김한중,윤성수,Jung, Nam-Su,Lee , Jeong-Jae,Kim , Han-Joong,Yoon , Seong-Su 한국농공학회 2004 한국농공학회논문집 Vol.46 No.2
An areal elderly migration model (AEMM) was developed to assess the demand of rural development projects targeted towards elderly people. The AEMM was developed with adaptation of the gravity model to represent spatial interaction regarding amenities. Areal characteristics were classified for estimating the amenities from the perspective of net migration. From 1990 to 2000, data were acquired from USCB, PASDA, PAHEALTH, PADCNR, PFBC, and NCDC in 67 Pennsylvania counties for analysis and application. The results revealed that elderly migration can be explained not only by areal characteristics but also by spatial interaction considering the population, distances, and amenities of surrounding areas.
정남수,최원,이호재,김한중,이정재,김종옥,Jung , Nam-Su,Choi, Won,Lee, Ho-Jae,Kim , Han-Joong,Lee , Jeong-Jae,Kim, Jong-Ok 한국농공학회 2004 한국농공학회논문집 Vol.46 No.5
Methodologies of the finite element and boundary element are combined to achieve an efficient and accurate analysis model of frame structure containing shear wall. This model analyzes the frame by employing the finite element method and the shear wall by boundary element method. This study is applicable to a specific situation, where the boundary element is surrounded by finite elements. By employing FE dominant method in which boundary stiffness matrix is transformed into finite element stiffness matrix, boundary element and finite element method are combined to analyze frame structure with walls.
정남수 ( Nam Su Jung ),이지민 ( Ji Min Lee ),이정재 ( Jeong Jae Lee ) 한국농촌계획학회 2004 농촌계획 Vol.10 No.2
According to the growing concerns of the public with efficiency and effects of regional policies, their assessment works have become an important issue. Up to now, several studies have been carried out on economic effects of policies using conventional cost/benefit analysis, while there have been few studies on assessment of amenity oriented policies. From the above consideration, this study tried to develop An Annual Expenditure Assessment Model (AEAM) for amenity-oriented policy-making in rural area. As a pre-work for model development, the hierarchical indices system for rural development and the classification system of expenditure were designed. Being based on high significant relationship between rural amenities and local government expenditure, a linear optimization model for maximization of regional amenity was constructed. Through a case study of Sunchang-gun, Chonbuk-province, the model applicability was ascertained.
기술논문 : 농촌경관자원 조사의 문제점 및 개선방안 연구 -2008 농촌어메니티 100선을 중심으로-
정남수 ( Nam Su Jung ),정호현 ( Ho Hyun Jung ) 한국농촌계획학회 2010 농촌계획 Vol.16 No.4
As rural landscape is considered important elements of rurality, there are many concerns about management and conservation. Rural development administration have performed rural amenity resources survey project in South Korea from 2005 for verifying states and efficient management of rural amenity. There are some problems about ambiguous definition of rural landscape range and data overlap. In this research, we reviewed rural amenity resources survey focusing rural landscape and analysized elements of 50 complex landscape resources in 2008 rural amenity selection 100. Finally, we suggested landscape viewpoint resource table in place of rural landscape because it can minimize data overlap in survey project.
연구보문 : 사회과학 ; 정밀농업을 위한 지식기반형 작물추천 모델 개발
정남수 ( Nam Su Jung ),김창호 ( Chang Ho Kim ),오태석 ( Tae Seok Oh ),홍창기 ( Chang Ki Hong ),장우석 ( Woo Seok Jang ) 한국국제농업개발학회 2013 韓國國際農業開發學會誌 Vol.25 No.1
본 연구에서는 정밀농업 구현을 위해 필수적인 요소인 토양과 기후 그리고 위치요인을 데이터로 구축한 후 이를 수치화하여 최고점수제를 이용하는 지식기반형 작물추천모델을 개발 하였다. 작물추천시스템에서 사용한 요인은 토양과 기후 그리고 위치정보이다. 토양의 경우에는 흙토람 자료 중 작물적지 선정에 80%이상 활용되는 토성, 침식등급, 배수등급, 경사, 자갈함량, pH를 선정하였다. 기후요인은 기상청의 5년간 누적데이터를 기초로 하여 작물생육에 필수적인 기온과 강수량 그리고 일조시간 등을 사용하였다. 위치정보는 한국토지정보시스템과 수치지형도를 가공하여 사용하였다. 예시작물은 농촌진흥청에서 추천한 옥수수, 유채, 갈대, 수박, 고추, 토마토, 양파, 감자, 고구마, 구기자 10개 작물로 하였으며, 향후 작물추천 수요가 증가할 것으로 예상되는 제천, 무안, 원주, 함안 4개 지역을 포괄적으로 시뮬레이션 하였다. 분석결과 평균점수는 고추가 75.5점으로 가장 높았으며 고구마가 61.2점으로 가장 낮았다. 작물별 식재면적에 제약이 있다고 가정하고 2차 시뮬레이션을 실시하여 경남 함안시의 7만 필지를 별도설정하고 분석한 결과 고구마가 39,190필지에서 가장 높은 점수를 받았으며 면적으로는 27.014 ㎢이었다. 지식기반형 작물추천시스템은 작물의 적지를 선정하는 항목과 가중치가 검증되지 않았다는 한계를 가지고 있으나, 이에 대한 보완이 이루어지고, 농산물유통부분을 고려하여 실제 정보수요자에게 제공하면 영농현장에서 활용 가능할 것으로 판단한다. In this research, a Knowledge-based Crop Recommendation Model(KCRM) was developed considering essential components of precision agriculture such as soil, climate, and locational information in Geographical Information System(GIS). KCRM adapt top score system using numerical value of selected factors affecting to crop growing and harvest. In case of soil, we analyzed data in Heuktoram developed and serviced by Rural Development Administration(RDA) and extracted saturn, erosion classes, drainage class, slope, and gravel content which are served more than 80% as factors for selecting suitable crop. In case of climate, temperature, precipitation, and the duration hour of sunshine are used which are essential to crop growth based on 5 year cumulative data of Korea Meteorological Administration(KMA). Locational data was acquired using digital map of Korea Land Information System(KLIS). Ten target crop were selected as corn, rape, reed, watermelon, red pepper, tomato, onion, potato, sweet potato, and chinese matrimony vine which are suggested by RDA in upland field. Four target region were selected as Jaecheon, Muan, Wonju, and Haman considered as regions where crop selection demand will be increased by four-river refurbishment project. Simulation results with no restriction show that red pepper was the higest score as 75.5 and sweet potato was the lowest score as 61.2 in average. In second simulation, We supposed the situation of planned cultivation in each crop can not planted exceeding 70,000 parcels. Simulation results sampled in Haman with size restriction show that sweet potato was the top crop acquire highest score in sampled field.