• Journal of the Korean Association of Geographic Information Studies
• /
• v.8 no.2
• /
• pp.136-144
• /
• 2005

GIS analyzes various topographic feature in three dimensions using triangulated irregular network (TIN). This paper proposed a method that can analyze topographic features effectively in three dimensions. Method developed in this study can calculate earth-volume, the inundation volume, storage volume etc, effectively. We could reduce error than existing volume calculation methods in computing volume in addition to water level's change about each. Also, the develop method can improve accuracy in measuring the storage of reservoirs. Main result of this paper id to develop a efficient calculation method using contour and elevation data on digital map.

• Journal of Applied Biological Chemistry
• /
• v.57 no.4
• /
• pp.337-340
• /
• 2014

In the present study, water extracts of Acanthopanax divaricatus var, albeofructus and Eleutherococcus divaricatus var. chiisanensis were prepared and their antioxidant and anti-inflammatory effects were compared. The water extract of Acanthopanax divaricatus var, albeofructus showed significantly higher activity in total polyphenol and flavonoid contents, while there were no significant differences in ABTS/DPPH radical scavenging activities and ferric reducing antioxidant power. However, the water extract of Eleutherococcus divaricatus var. chiisanensis at the highest dose showed significantly lower capacity in nitric oxide production than that of Acanthopanax divaricatus var, albeofructus. Taken together, there were differences between Acanthopanax divaricatus var, albeofructus and Eleutherococcus divaricatus var. chiisanensis in total polyphenol/flavonoid contents and anti-inflammatory effect, however, the antioxidant effect was almost similar.

• Ecology and Resilient Infrastructure
• /
• v.4 no.2
• /
• pp.115-121
• /
• 2017

This study estimated potential natural vegetation in Gayasan National Park through the occurrence probability distribution by using geographic information system (GIS). in Gayasan National Park. Correlation and factor analysis were analyzed to estimate probability distribution. The presence of the Gaya National Park Vegetation survey results showed that 128 communities were distributed. The analyzed relationship between actual vegetation and distribution factors such as elevation, aspect, slope, topographic index, annual mean temperature, warmth index and potential evapotranspiration in Gayasan national park. The probability distribution of potential natural vegetation communities at least 0.3 odds were the advent of Pinus densiflora communities with the highest 55.80%, Quercus mongolica community is 44.05%, 0.09% is Quercus acutissima communities, Quercus variabilis communities are found to be 0.06%. If you want to limit the factors that affect the distribution of vegetation by factors presented in this study, the potential natural vegetation of the Gaya National Park was expected to appear in Quercus mongolica community (43.1%) and Pinus densiflora communities (56.9%).

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2011.05a
• /
• pp.256-259
• /
• 2011

Smart phones mixed with mobile devices and computers are biggest change of information technology and user-installed applications of them provide various information and services which were only possible on PC and Internet in the past. They are expected to be used by ten million people in 2011 and people with disabilities can get easily information and location of disabled facilities using them. In this paper, we design a mobile information service system for person with disabilities, which provides various information and location of disabled facilities. We build information of disabled facilities using acquisition information through existing web sites and provide location based service with user's location.

• The Korean Journal of Applied Statistics
• /
• v.26 no.1
• /
• pp.93-109
• /
• 2013

Geostatistical data or point-referenced data have the information on the monitoring stations of interest where the observations are measured. Practical geostatistical data are obtained from a wide variety of observational monitoring networks that are mainly operated by the Korean government. When we analyze geostatistical data and predict the expectations at unobservable locations, we can improve the reliability of the prediction by utilizing some relevant spatial data obtained from different observational monitoring networks and blend them with the measurements of our main interest. In this paper, we consider the hierarchical spatial linear model that enables us to link spatial variables from different resources but with similar patterns and guarantee the precision of the prediction. We compare the proposed model to a classical linear regression model and simple kriging in terms of some information criteria and one-leave-out cross-validation. Real application deals with Sulfur Dioxide($SO_2$) measurements from the urban air pollution monitoring network and wind speed data from the surface observation network.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.16 no.9
• /
• pp.1997-2002
• /
• 2012

Smart phones mixed with mobile devices and computers are biggest change of information technology and user-installed applications of them provide various information and services which were only possible on PC and Internet in the past. They are expected to be used by thirty million people in 2012 and people with disabilities can get easily information and location of disabled facilities using them. In this paper, we design a mobile information service system for person with disabilities, which provides various information and location of disabled facilities. We build information of disabled facilities using acquisition information through existing web sites and provide location based service with user's location. We also implement and service the proposed system and we show efficiency of our system.

• Journal of Korean Society for Geospatial Information Science
• /
• v.1 no.1 s.1
• /
• pp.171-180
• /
• 1993

Concern about nonpoint source pollution associated with urban storm water has led to the development of new tools for better water quality planning. This paper presents an application of a geographic information system (GIS) for urban water quality study. The GIS was used to manage land use data for nonpoint source pollution modeling and to aggregate pollutant loadings within various types of geographic units. An empirical water quality model was used to estimate pollutant loadings based primarily on land use. A land use coverage was created by updating an old coverage through interpretation of recent photography. This land use coverage was also used to record all pollutant loadings for each land use polygon. Storm sewer maps were digitized and interpreted to create a coverage of storm sewer basins and sub-basins. By overlaying pollutant loadings with the sewer sub-basin layer, aggregated pollutant loadings for major sewer outfalls were calculated. Based on the loading information, critical areas of excessive pollutant loadings were located and the effectiveness of Best Management Practices (BMPs) to control pollutant loadings were evaluated.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.20 no.4
• /
• pp.39-54
• /
• 2017

Between 1998 and 2010, the computerization of underground facilities was completed in 84 cities. Since 2011, new pipelines have been laid or existing pipelines have been maintained, renovated, and renewed. To measure the exact location and depth of the exposure pipe, a map of underground facilities was created before filling the ground. This method is based on the time when the underground facilities of the National Geographic Information Institute Regulation No. 134 of the National Geographic Information Office revised in 2010 were drafted. The process of the drone taking the video is based on a theoretical basis of ground control points. The method works by removing all ground control points located outside of the error range and re-processing it for calculating the best result. Furthermore, using a drone-based spontaneous measuring method allows workers to obtain a high accuracy underground facilities map in error bound. The proposed method could be used as a new way to standardize the processing.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.17 no.2
• /
• pp.72-81
• /
• 2014

As big data are one of main issues in the recent days, the interests on their technologies are also increasing. Among several technological bases, this study focuses on data visualization and R based on open source. In general, the term of data visualization can be summarized as the web technologies for constructing, manipulating and displaying various types of graphic objects in the interactive mode. R is an operating environment or a language for statistical data analysis from basic to advanced level. In this study, a web application with these technological aspects and components is newly implemented and exemplified with data visualization for geo-based open data provided by public organizations or government agencies. This application model does not need users' data building or proprietary software installation. Futhermore it is designed for users in the geo-spatial application field with less experiences and little knowledges about R. The results of data visualization by this application can support decision making process of web users accessible to this service. It is expected that the more practical and various applications with R-based geo-statistical analysis functions and complex operations linked to big data contribute to expanding the scope and the range of the geo-spatial application.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.20 no.4
• /
• pp.24-38
• /
• 2017

The awareness and demand for technological elements in the field of cloud computing and their application models have increased. Cloud-based service information systems are being expanded for use in many applications. Advancements in information technology are directly related to spatial information. PaaS is an important platform for implementing a substantial cloud ecosystem to develop geo-based application services. For this reason, it is necessary to analyze the PaaS cloud technology prior to the development of SaaS. The PaaS cloud supports sharing of related extensions, database operations and management, and application development and deployment. The development of geo-spatial information systems or services based on PaaS in ranging the domestic and overseas range is in the initial stages of both research and application. In this study, state-of-the-art cloud computing is reviewed and a conceptual design for geo-based applications is presented. The proposed model is based on container methods, which are the core elements of PaaS cloud technology based on open source. It is thought that these technologies contribute to the applicability and scalability of the geo-spatial information industry that addresses cloud computing. It is expected that the results of this study will provide a technological base for practical service implementation and experimentation for geo-based applications.