• Communications for Statistical Applications and Methods
• /
• v.4 no.1
• /
• pp.33-39
• /
• 1997

Tsutakawa(1988) proposed a mixed model for using empirical Bayes method to study the geographic variability in mortality rates of a disease. In particular cases of the analysis in mortality rate, we need to consider the effect of time. If observed data are collected annually for the time period, then time effect will be emphasized. Here, an extended model for estimating the geographic effect and the mortality rates of the disease with time effect is proposed.

• The KIPS Transactions:PartD
• /
• v.18D no.1
• /
• pp.57-66
• /
• 2011

Recently, the necessity of new methods of spatial data integration and analysis in CRM has been increased since it is acknowledged that about eighty percent of all data stored in corporate databases has a spatial component. But conventional CRM systems are either incapable of managing spatial data or are not user-friendly when doing so. This paper has designed and implemented spatially-enabled integration management system that can manage consistently both enterprise and spatial data through a legacy CRM system and object-oriented database and additionally support spatial analysis and map visualization for a gCRM. Through implementation, it is demonstrated that the proposed system can facilitate effectively spatial data management and analysis in a legacy CRM system.

• The Journal of Information Systems
• /
• v.31 no.2
• /
• pp.217-238
• /
• 2022

Purpose This study aims to develop a work-related injury and illness monitoring geographic information system that analyzes and visualizes the types of work-related injury and illness based on workers' compensation insurance big data. Design/methodology/approach Using the developed system, we explained the process of monitoring the areas of the applied workplace, medical care application, index, and medical care institution. We also showed examples of analyzing the index and medical care institution area. By applying the system, we can intuitively recognize the current status of workers' compensation insurance and confirm the basic information necessary for managing the current status of workers' compensation insurance. Findings We generated more helpful information by combining workers' compensation insurance data and designated medical care institution data. We were able to apply the severity score and the vulnerability index of work-related injury and illness to the system as a demonstration. To efficiently manage workers' compensation insurance, it was necessary to integrate workers' compensation insurance and designated medical care institution data, as well as the data from various sources.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.12 no.2
• /
• pp.11-22
• /
• 2009

Recently the integration and development of ST(Spatial Technology) and forest geographic information have been used very efficiently for the forest administration. However, even though many application system related to forest information have been developed and improved, there are still paper based inventories management and hand work for data construction and upgrade. In this study the forest information warehouse, which is mapped and managed at work-site operations, was constructed based GIS technology so that the standardization and consistency of current data could be acquired in real time. In addition, these thematic maps were conducted on high resolution satellite images and managed in web based forest information data warehouse form and finally shared through Internet for the very first-line administration officials. This study shows that the forest information standardization service of municipal governments very first time in the Korea and provides the unified decision making support and enterprise formed forest database so that is expected to be the very successful sample to suggest the prototype of national forest spatial data infrastructure.

• Spatial Information Research
• /
• v.11 no.3
• /
• pp.213-226
• /
• 2003

With the increasing demand of processing massive geographic data, conventional GISs based on the single processor architecture appear to be problematic. Especially, performing complex GIS operations on the massive geographic data is very time consuming and even impossible. This is due to the processor speed development does not keep up with the data volume to be processed. In the field of GIS, this PC clustering is one of the emerging technology for handling massive geographic data effectively. In this study, a MPI(Message Passing Interface)-based parallel processing approach was conducted to implement the existing raster GIS operations that typically requires massive geographic data sets in order to improve the processing capabilities and performance. Specially for this research, four types of raster CIS operations that Tomlin(1990) has introduced for systematic analysis of raster GIS operation. A data decomposition method was designed and implemented for selected raster GIS operations.

• Journal of KIISE:Computing Practices and Letters
• /
• v.15 no.3
• /
• pp.201-205
• /
• 2009

This paper addresses issues to efficiently collect and aggregate data of sources within a local and adjacent region in geographic routing for wireless sensor networks. We first introduce the concept of a local sink which collects and aggregates data form source nodes in the region and delivers the aggregated data to a global sink. We also design a model to determine an optimal location of the local sink and propose a mechanism to collect data through the local sink. Simulation results show that the proposed mechanism with the local sink is more efficient in terms of the energy and the data delivery ratio than the existing mechanism without the local sink in a geographic routing.

• Journal of Korea Spatial Information System Society
• /
• v.11 no.4
• /
• pp.65-73
• /
• 2009

With the rapid development of computer, information and communication technologies, the production and distribution of digital contents among various kinds of networks have become more common. In such environment, we need to store and to manage efficiently a large volume of geograpruc data because the amount of geographic data grows faster and faster. In this paper, as a key solution to manage efficiently such a huge amount of geograpruc data, we adopt the mechanism which compresses only the difference between original and updated data with high compression ratio. By transferring highly compressed updated part only instead of the entire of geographic data, we can reduce the network traffic during the download of contents and service.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.7 no.4
• /
• pp.46-56
• /
• 2004

As economic cooperation and exchanges between North and South Korea have been glowing much more than before, the demand for geographic information on North Korea is recently increasing. In fact, there is no specific method to be provided with geographic information on North Korea. In this regard, the study searched a method to collect geographic information on North Korea by using the high spatial resolution satellite image. In order to produce its best result, the study collected the geographic information on the case study area and ensured the location accuracy. This study produced total 52 items of geographic information on North Korea. Horizontal and vertical errors of stereo image, which are 4.6m and 0.9m respectively, showed high accuracy. In addition, even though the horizontal error of single image is 9m, which is bigger than that of stereo image, there is no doubt that it can be used as basic data for North Korean studies and related projects.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.11 no.2
• /
• pp.108-120
• /
• 2008

This paper discusses the prediction of deforestation areas using probability models from forest census database, Geographic information system (GIS) database and the land cover database. The land cover data was analyzed using remotely-sensed (RS) data of the Landsat TM data from 1989 to 2001. Over the analysis period of 12 years, the deforestation area was about 40ha. Most of the deforestation areas were attributable to road construction and residential development activities. About 80% of the deforestation areas for residential development were found within 100m of the road network. More than 20% of the deforestation areas for forest road construction were within 100m of the road network. Geographic factors and vegetation change detection (VCD) factors were used in probability models to construct deforestation occurrence map. We examined the size effect of area partition as training area and validation area for the probability models. The Bayes model provided a better deforestation prediction rate than that of the regression model.

• Proceedings of the IEEK Conference
• /
• 2004.08c
• /
• pp.723-728
• /
• 2004

Recently, because of the extensive use of geographic information in the various fields, the requirement for the easy circulation and utilization of the various geographic information among the individuals, organizations, societies and countries is raised. In order to support the interoperability of the heterogeneous geographic information in the various fields, OGC(Open GIS Consortium) proposed the GML(Geography Markup Language) specification that defines the XML encoding rule about the heterogeneous geographic information. In addition, ISO/TC 211 adopted the GML specification to make it as the international standard. Therefore, in this paper, we first analyzed the GML 3.0 specification in detail that can support the interoperability of the heterogeneous geographic information. And then we suggested and applied the mapping rule that define the encoding method to improve the encoding process easily and efficiently. Finally, we designed and implemented the GML 3.0 encoding system using the mapping rule to encode the geographic information that was constructed in spatial databases into the GML 3.0 document. Especially, we used ZEUS as a spatial database system to test our encoding system in this paper.