• Journal of Korea Multimedia Society
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• v.17 no.4
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• pp.458-465
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• 2014

In this paper, we propose a strategy to distribute the energy consumption over the network. The proposed strategy is based on geographic routing. We use a smart base station that maintains the residual energy and location information of sensor nodes and selects a head node and an anchor node using this information. A head node gathers and aggregates data from the sensor nodes in a target region that interests the user. An anchor node then transmits the data that was forwarded from the head node back to the smart base station. The smart base station extends network lifetime by selecting an optimal head node and an optimal anchor node. We simulate the proposed protocol and compare it with the LEACH protocol in terms of energy consumption, the number of dead nodes, and a distribution map of dead node locations.

• Journal of Korean Society for Geospatial Information Science
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• v.4 no.2 s.8
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• pp.149-159
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• 1996

It's required such information as location, size, distribution and abundance of wetlands as well as categorization of adjacent land-uses to manage effectively and to make wise planning decisions about resources of coastal area. Wetland inventory derived from the technology of Geographic Information System and remote sensing is inexpensive compared to the data based on conventional field data collection and cartographic methods. Furthermore, wetland inventory may prove to be useful references in the wetland management.

• Korean Journal of Remote Sensing
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• v.2 no.1
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• pp.23-33
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• 1986

The Universal Soil Loss Equation (USLE) has been applied to the microcomputer based Geographic Information System (GIS) data planes to model a soil erosion map for a county. The conventional method applied by US Soil conservation Service (SCS) has been tedious and time consuming process on a mainframe computer which yields a multisectioned, hard to interprete, line printer map of the each county's soil loss. The new approach proved to be an economical and efficient tool for the natural resource managers in their decision malting in land conservation practice. They can simulate the variety of conservation practices and assess the cost and benefit without physically implementing the conservation measures.7he new approach also can produce all the other graphical and statistical reports.

• Korean Journal of Remote Sensing
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• v.8 no.1
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• pp.45-58
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• 1992

The study is aimed at extraction of the groundwater potential area using the Geographic Information System. The study was to develop techniques of the thematic mapping such as slope map, geologic map, soil map and suitability mapping for grotential area. There thematic maps were combined and weightages were given to produce suitability map for groundwater potential area. The results of this study are as follows. 1) The 78% of cased wells have releation to lineament coincided with the appraisement point of the suitability map. 2) The 9 sites of 18 test sites produced over than 200 m$^3$/day. The with the highest appraisement point of the suitability map. 3) Suitability map is effective to extract groundwater potential area which can not be extracted from the remotely sensed data. The developed suitability mapping techniques are expected to do as an important tool for exploration and development of the newable and unnewable resources such as groundwater, petroleum etc.

• Proceedings of the KSRS Conference
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• 2004.10a
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• pp.245-248
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• 2004

In this paper, we propose a framework for synchronization of spatial data between mobile devices and a server by using SyncML(Synchronization Markup Language) that is standard specification for synchronization protocol. We used GML (Geographic Markup Language) to support interoperability of spatial data between various data sources. We also used metadata and catalog service to access and integrate distributed spatial data, considering relationships of spatial data and non-spatial data.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2006.05a
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• pp.101-105
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• 2006

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2003.04a
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• pp.629-636
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• 2003

• KCID journal
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• v.3 no.2
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• pp.102-107
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• 1996

• Journal of the Korean Association of Geographic Information Studies
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• v.10 no.4
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• pp.153-167
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• 2007

Dokdo research has been worked in various fields. However, the continuous accumulation and systematic management of Dokdo research data on marine science haven't been made. In particular, a systematic database system hasn't been established for the research data on marine environment and ecosystem in Dokdo and its surrounding sea. Therefore, GIS database construction on a spatial basis is required for the systematic management and efficient use of Dokdo marine research data, and a marine data model on a GIS basis is needed on the design stage to build the database. In this study, we collected previous observed marine data, and classified them as three groups, such as a framework data group on a GIS basis, a research data group and a thematic data group, according to the data types and characteristics. Moreover, the attributes of each research data were designed to be connected to GIS framework data. The result of the study to build an integrated GIS data model may be useful for developing a management system for marine research data observed in other sea as well as Dokdo.

• Journal of the Korean Association of Geographic Information Studies
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• v.3 no.3
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• pp.20-30
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• 2000

Average annual NDVI values from the NOAA/NASA Pathfinder AVHRR Land Data Sets from 1982 to 1994 showed comprehensive systematic displacement patterns in Asia. Inter-annual growing season data, however, did not show such systematic patterns. The most likely cause for the abrupt displacements, which appear especially in 1982, 1989 and 1990, may be changes in satellite sensors, although global warming, El Ni$\tilde{n}$o-Southern Oscillation events, changes in processing algorithms, and changes in land-use patterns in various parts of Asia may also play some role. The results suggest that researchers must be extremely careful in their inter-annual global change research, since direct use of the raw data could cause unexpected results. Growing-season NDVI shows decreases throughout most of Southeast Asia and modest gains in northern China and some parts in India, which could be related to land-use and land-cover changes.