• Informatization Policy
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• v.23 no.2
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• pp.35-53
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• 2016

This paper attempts to present critical issues of the information society and an alternative research addressing the challenges of ensuring that ICT is applied in ways that are enabling and responsive to social contexts in which people live their lives. Drawing the question of why insights arising from the mainstream vision are rarely useful in policies, the study highlights some developmental paradigms linked to ICT. It explores how ICT is seen as a means to development, and elaborates on the limitations of how current issues are related to the quality of life. The results indicate that ICT reduces quality of life while economic growth entails the opposite. The research framework here involves some meaningful components of cultural residues: independence, risk-taking, government responsibility by mapping how the level of ICT is distributed in the topology of values around the world. Moving to the next phase, ICT policy design and implementation need to be set up practically in a broad perspective that can be pursued by those concerned with social and technological innovation.

• Korean Journal of Agricultural and Forest Meteorology
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• v.12 no.1
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• pp.63-73
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• 2010

A comprehensive mapping project for agroclimatic zoning in South Korea will end by April 2010, which has required 4 years, a billion won (ca. 0.9 million US dollars) and 22 experts from 7 institutions to complete it. The map database from this project may be categorized into primary, secondary and analytical products. The primary products are called "high definition" digital climate maps (HD-DCMs) and available through the state of the art techniques in geospatial climatology. For example, daily minimum temperature surfaces were prepared by combining the climatic normals (1971-2000 and 1981-2008) of synoptic observations with the simulated thermodynamic nature of cold air by using the raster GIS and microwave temperature profiling which can quantify effects of cold air drainage on local temperature. The spatial resolution of the gridded climate data is 30m for temperature and solar irradiance, and 270m for precipitation. The secondary products are climatic indices produced by statistical analysis of the primary products and includes extremes, sums, and probabilities of climatic events relevant to farming activities at a given grid cell. The analytical products were prepared by driving agronomic models with the HD-DCMs and dates of full bloom, the risk of freezing damage, and the fruit quality are among the examples. Because the spatial resolution of local climate information for agronomic practices exceeds the current weather service scale, HD-DCMs and the value-added products are expected to supplement the insufficient spatial resolution of official climatology. In this lecture, state of the art techniques embedded in the products, how to combine the techniques with the existing geospatial information, and agroclimatic zoning for major crops and fruits in South Korea will be provided.

• Journal of the Korean Association of Geographic Information Studies
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• v.6 no.3
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• pp.33-42
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• 2003

As airborne laser scanning technique is developed with high vertical accuracy recently, there come many studies on DEM(digital elevation model creation, building extraction, flood risk mapping and 3D virtual city modeling. This study applied point comparative method, contour comparative method and digital map with scale 1/5,000 to calculate RMSE of DEM in according to resolution that was constructed using rawdata being acquired by airborne laser scanning. As a result, point comparative method showed lower DEM standard error than contour comparative method, it is a reason that contour comparative method was not carried out detailed grid calculation for point comparative method. Also, digital map with scale 1/5,000 showed higher DEM standard error than point comparative method and contour comparative method in below 25.4m that is average horizontal distance among contour line, and showed similar result with contour comparative method in over 25.4m.

• Korean Journal of Agricultural and Forest Meteorology
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• v.4 no.3
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• pp.133-140
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• 2002

Site-specific minimum temperature forecasts are critical in a short-term decision making procedure for preventive measures as well as a long-term strategy such as site selection in fruits industry. Nocturnal cold air pools frequently termed in mountainous areas under anticyclonic systems are very dangerous to the flowering buds in spring over Korea, but the spatial resolution to detect them exceeds the current weather forecast scale. To supplement the insufficient spatial resolution of official forecasts, we developed a GIS - assisted frost risk assesment scheme for using in mountainous areas. Daily minimum temperature data were obtained from 6 sites located in a 2.1 by 2.1 km area with complex topography near the southern edge of Sobaek mountains during radiative cooling nights in spring 2001. A digital elevation model with a 10 m spatial resolution was prepared for the entire study area and the cold air inflow was simulated for each grid cell by counting the number of surrounding cells coming into the processing cell. Primitive temperature surfaces were prepared for the corresponding dates by interpolating the Korea Meteorological Administration's automated observational data with the lapse rate correction. The cell temperature values corresponding to the 6 observation sites were extracted from the primitive temperature surface, and subtracted from the observed values to obtain the estimation error. The errors were regressed to the flow accumulation at the corresponding cells, delineating a statistically significant relationship. When we applied this relationship to the primitive temperature surfaces of frost nights during April 2002, there was a good agreement with the observations, showing a feasibility of site-specific frost warning system development in mountainous areas.

• Journal of the Korea Society of Computer and Information
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• v.24 no.10
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• pp.65-70
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• 2019

In recently, ship trajectory data consisting of ship position, speed, course, and so on can be obtained from the Automatic Identification System device with which all ships should be equipped. These data are gathered more than 2GB every day at a crowed sea port and used for analysis of ship traffic statistic and patterns. In this study, we propose a method to process ship trajectory data efficiently with distributed computing resources using MapReduce algorithm. In data preprocessing phase, ship dynamic and static data are integrated into target dataset and filtered out ship trajectory that is not of interest. In mapping phase, we convert ship's position to Geohash code, and assign Geohash and ship MMSI to key and value. In reducing phase, key-value pairs are sorted according to the same key value and counted the ship traffic number in a grid cell. To evaluate the proposed method, we implemented it and compared it with IALA waterway risk assessment program(IWRAP) in their performance. The data processing performance improve 1 to 4 times that of the existing ship trajectory analysis program.

• Journal of Environmental Health Sciences
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• v.45 no.5
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• pp.487-496
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• 2019

Objective: The purpose of this study was to create soil contamination maps using QGIS (Quantum Geographic Information System) and suggest selection methods for soil pollution sources for preferential investigation in a soil contamination survey. Method: Data from soil contamination surveys over five years in Gyeonggi-do Province, South Korea (2013-2017) were used for making soil contamination maps and analyzing the density of survey points. By analyzing points exceeding the concern level of soil contamination, soil pollutant sources for priority management were identified and selection methods for preferred survey points were suggested through a study of the model area. Results: A soil contamination survey was conducted at 1,478 points over five years, with the largest number of surveys conducted in industrial complex and factory areas. Soil contamination maps for copper, zinc, nickel, lead, arsenic, fluoride, and total petroleum hydrocarbons were made, and most of the survey points were found to be below concern level 1 for soil contamination. The density of the survey points is similar to that of densely populated areas and factory areas. The analysis results of points exceeding the criteria showed that soil pollutant sources for priority management were areas where ore and scrap metals were used and stored, traffic-related facilities areas, industrial complex and factory areas, and areas associated with waste and recycling. According to the study of the model area, the preferred survey points were traffic-related facilities with 15 years or more since their construction and factories with a score of 10 or more for soil contamination risk. Conclusion: Soil contamination surveys should use GIS for even regional distribution of survey points and for the effective selection of preferred survey points. This study may be used as guidelines to select points for a soil contamination survey.

• Investigative Magnetic Resonance Imaging
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• v.13 no.2
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• pp.127-136
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• 2009

Purpose : Functional magnetic resonance imaging (fMRI) was used to assess the temporal response of neural activation in healthy subjects while they performed the Iowa Gambling Test (IGT), which utilizes decisions involving ambiguity and risk. The IGT was divided into five blocks of 20 trials; analysis showed that activity in the medial prefrontal cortex (mPFC) moves gradually from the dorsal to the ventral mPFC over the course of the IGT. These findings suggest that cognitive division of the mPFC, including the dorsal portion of the anterior cingulated cortex (ACC), plays a major role in ambiguous decision making and that the aspect of the IGT corresponding to risky decision making is associated with significant activity within the corticolimbic network strongly implicated in emotion and reinforcement. Our results also suggest that decisions made under ambiguity and decisions made under risk situations can be further divided into sub-phases based on the neural network involved.

• Journal of Digital Convergence
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• v.12 no.7
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• pp.133-145
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• 2014

Recently, Hospital information systems have the large databases by wide range offices for hospital management, health care to improve the quality of care. However, hospital information systems for information security measures are insufficient. Therefore, when we construct the hospital information system, we have to audit the information security measures for them, and we have to manage the ISMS(Information Security Management System) to maintain the information protection level through the risk managements. In this paper, we suggested the hospital information security audit model for the protection of health information privacy by the current hospital information systems, information security management system(ISMS), and hospital information security requirements and threats. We derived the check items compared with ISO27799 reflected the characteristics of the hospital. We classified the security domains as the physical, technical, administrative domain, and derived the check items for information security. We also designed the check lists by mapping the ISO27799 risk management process to improve the security and efficiency simultaneously. Our model by the five-point scale survey of IT experts was verified the suitability with the average of 4.91 points.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.476-476
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• 2011

베트남은 자연재해로 인해 매년 평균 750명 이상의 사망자가 발생하고 있으며, 경제적인 피해 또한 한해 GDP의 1.5%에 달하고 있다. 저먼워치(Germanwatch)의 2010년 세계기후위험지수(Global Climate Risk Index, GCRI)의 전 지구적 기후재난에 관한 국가별 순위 조사에서 베트남은 4위에 기록되었다. 베트남의 자연재해는 상당 비중이 풍수해에 집중 되어 전체 재해의 86%를 차지하고 있고, 이는 대부분 해안 지대와 강 유역의 홍수 및 범람에서 비롯된 것이다. 베트남 전체인구의 약 70%가 상습적 홍수와 범람 발생 지역인 해안가에 거주하고 있어 재난에 예방 및 복구 관리에 대한 국가 차원의 방안이 시급한 실정이다. 본 연구에서는 과거 30년간의 풍수해 관련 재해에 대한 기록상 추이를 통해 공간적으로 재난에 취약한 지역적 분포를 살펴보고, 그 지역의 지리적 특성을 분석하여 재해에 관한 종합적 고찰을 하였다. 벨기에 루뱅대학 부설 재난역학연구센터(Centre for Research on the Epidemiology of Disasters, CRED)의 EM-DAT를 이용하여 과거 기록상의 개괄적인 재해양상에 관한 추이를 살펴본 결과 대부분의 재난은 풍수해에 집중이 되어 있음을 분석하였고, 베트남 풍수해조정기관인 홍수및폭풍조정중앙위원회(Central Committee for Flood and Storm Control, CCFSC)의 최근 30년간 풍수해에 관련된 통계 자료를 정리하여 상습적 재난 피해지역을 지도상에 표시하였다. 이 때 지구지도제작운영위원회(International Steering Committee for Global Mapping, ISCGM)의 D_WGS_1984 Datum을 바탕으로 한 베트남 shape file을 이용하여 풍수해에 따른 인명피해, 경제적 손실, 발생횟수 등에 관한 사항을 일반화 시켜 재난 취약지역을 지리적으로 분석하였다. Thanh hoa, Quang nam, Binh Dinn, Camau성이 풍수해와 관련된 재난에 취약하게 노출되어 있음을 도출하였다. 재난에 상대적으로 취약한 이들 지역에 대한 현재의 재난 관리는 어떻게 이루어지고 있는지에 관해 현재의 풍수해관리 사업단의 조직적 구조와 그 기능 및 역할을 살펴보고, 국제적 원조 사례를 분석하여 상습적으로 재난의 위험 지역에 대한 지속적인 관리와 복구를 어떻게 이루어 나갈 것인지에 대한 방안 및 제언에 관하여 논의하고자 한다. 베트남의 재난 관리에 관한 지리적인 종합 분석은 기존 양상의 재해에 대한 방안을 구축하는 데 대한 제언뿐만 아니라 기후변화와 관련된 재난을 예측하고 관리 방안을 설정하는 데 기초 자료를 제공할 수 있을 것이다.

• Journal of the Korean Society for Library and Information Science
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• v.56 no.1
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• pp.253-275
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• 2022

Niklas Luhmann is one of the most contentious and difficult theorist in sociology but follow-up studies on his theory gradually increase for recent 10 years. The purpose of this study is to observe how follow-up studies use the difficult concepts of Luhmann. Unlike previous studies, this study adopted a keyword rather than an article as the unit of analysis because keywords are linguistic constructs that can make concepts observable. The study analyzed co-occurrence of keywords in 139 articles retrieved from social sciences category in Web of Science DB. The key findings were following: the most important keywords were the name of Luhmann(Niklas Luhmann) and theory(social systems); keywords were grouped into 4 clusters(social systems theory, systems theory, legal system and political system, the significant of Luhmann's theory from the viewpoint of the history of social theory); topic terms were systems theory, communication, Autopoiesis, risk, legal system, functional differentiation, environment, social theory, sociological theory, structural coupling, systems and evolution. The significance of the study is following: the study gives keywords as useful access point for beginners of Luhmann's theory; the study proves that content analysis by keywords network can be applied to trend analysis of difficult theoretical researches.