• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.31 no.1
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• pp.69-78
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• 2013

Recently, as GIS industry has substantially grown up, convergence between industries such as the application coverage of surveying and cadastral information is gradually on the increase. The new approach of convergence between topographic surveying and cadastral survey is indispensable to make the change of geospatial environment ready and to maximize the utilization of National Spatial Data Infrastructure(NSDI). The purpose of this paper is to seek the way of synergistic improvement in topographic surveying and cadastral survey in comprehensive aspects of national geospatial information. First, we reviewed policy environment to clearly establish aim of convergence and promising perspective of GIS industry policy, considering NSDI. In addition, we examined current state of administration (organization, human resource, service) and institution situation. We came up with interior ability and external policy environment as well as critical success factor for the synergistic convergence by using SWOT analysis. Lastly, we developed basic perspective of convergence and improvement model and concrete scheme for stakeholder to complementary make progress. We can come to conclusion that the convergence of topographic surveying and cadastral survey should be not only carried in macro outline of successful NSDI but also committed to completion and maintenance of GIS framework.

• Journal of the Korean Association of Geographic Information Studies
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• v.14 no.4
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• pp.1-12
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• 2011

There has been the increasing concern with the safety of seven major urban infrastructure such as road, electricity, water supply, sewerage and so on due to urban expansion and new town development. However, high technology development for the common duct which can be an alternative for the safety issue has not been completed due to the law of the national security area. Existing management method of the common duct by people could not respond to the urgent accidents adequately and immediately since it is impossible for us to get access to that in case of fire or gas leak. This study suggests to the method of installing monitoring devices and processing CCTV images with a water supply in a TestLab(a variety of the USN(Ubiquitous Sensor Network) equipment was tested in the TestLab in KICT). The suggested management method of common duct facilities make it possible to do real-time monitoring and prompt access and response to an accident inside the common duct.

• International Commerce and Information Review
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• v.18 no.4
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• pp.263-281
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• 2016

The Importance of SEP (Standard Essential Patents) Procurement Operation is on the side of Governmental and Public both to accelerate the national trade negotiation competitiveness. To operate cooperative system of SEP creation and management, Government should monitor the effect and performance periodically to public sectors. and To achieve the support objectives, it should establish the virtuous circle infrastructure between R&D and economic performance on SEP. This can make the SEP enhancement to pursue the international competitiveness on Intellectual Property Rights. Especially the specific support approach to each phase of the SEP declaration matrix is essential to consolidate the possibility of SEP creation and acquisition. In this study, the concepts of SEP to accelerate the national trade negotiation competitiveness and the prior research were verified through the investigation of market trend and current state of affair analysis. Through the analysis of international and domestic situation of SEP procurement and management, We have found the results as follows. First of all, the leading conglomerates and the Government should focus on the secondary and tertiary industries to create and acquire SEPs to accomplish the effectiveness of selection and concentration. In second, the SMEs and Univ. Labs should focus on the quaternary sector of the economy to retain the competitiveness of speed and challenge on SEP related. From this study, the appropriateness of the tailored-support management model should be institutionalized, and the results implied an research in order to examine the suitability among the current SEP to enhance the competitiveness of national trade research issues.

• Korean Journal of Agricultural and Forest Meteorology
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• v.16 no.4
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• pp.403-417
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• 2014

Increased frequency of climate extremes is another face of climate change confronted by humans, resulting in catastrophic losses in agriculture. While climate extremes take place on many scales, impacts are experienced locally and mitigation tools are a function of local conditions. To address this, agrometeorological early warning systems must be place and location based, incorporating the climate, crop and land attributes at the appropriate scale. Existing services often lack site-specific information on adverse weather and countermeasures relevant to farming activities. Warnings on chronic long term effects of adverse weather or combined effects of two or more weather elements are seldom provided, either. This lecture discusses a field-specific early warning system implemented on a catchment scale agrometeorological service, by which volunteer farmers are provided with face-to-face disaster warnings along with relevant countermeasures. The products are based on core techniques such as scaling down of weather information to a field level and the crop specific risk assessment. Likelihood of a disaster is evaluated by the relative position of current risk on the standardized normal distribution from climatological normal year prepared for 840 catchments in South Korea. A validation study has begun with a 4-year plan for implementing an operational service in Seomjin River Basin, which accommodates over 60,000 farms and orchards. Diverse experiences obtained through this study will certainly be useful in planning and developing the nation-wide disaster early warning system for agricultural sector.

• Journal of the Korean Association of Geographic Information Studies
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• v.23 no.1
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• pp.1-14
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• 2020

Cities are highly susceptible to disasters due to concentration of population and infrastructure and intensive land use, and there are various factors that affect vulnerability according to regional characteristics. This study analyzed the vulnerability of the heat wave and the surface temperature extracted from Landsat 8 satellite data. Areas with high surface temperature and with high vulnerability did not match. This study overlaid the results of vulnerability analysis and the land surface temperature(LST) in order to identify causes of vulnerability. The results showed that some areas within high-density commercial and semi-residential areas were the most vulnerable, with climate exposure factors, the ratio of the vulnerable populations and residential defective areas being the main causes. Accordingly, alternatives such as green space and residential environmental improvement could be suggested. Various policies for reducing and adapting to heat wave have been established and implemented. However, it is necessary to examine the regional and spatial characteristics of the city, to accurately diagnose the cause of the heat wave, and to prepare appropriate long-term alternatives accordingly.

• Journal of the Korean Association of Geographic Information Studies
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• v.20 no.3
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• pp.12-26
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• 2017

The objective of this study was to develop a runoff analysis system of the Nakdong River watershed using the GRM (Grid-based Rainfall-runoff Model), a physically-based distributed rainfall-runoff model, and to assess the system run time performance according to Microsoft Azure VM (Virtual Machine) settings. Nakdong River watershed was divided into 20 sub-watersheds, and GRM model was constructed for each subwatershed. Runoff analysis of each watershed was calculated in separated CPU process that maintained the upstream and downstream topology. MoLIT (Ministry of Land, Infrastructure and Transport) real-time radar rainfall and dam discharge data were applied to the analysis. Runoff analysis system was run in Azure environment, and simulation results were displayed through web page. Based on this study, the Nakdong River real-time runoff analysis system, which consisted of a real-time data server, calculation node (Azure), and user PC, could be developed. The system performance was more dependent on the CPU than RAM. Disk I/O and calculation bottlenecks could be resolved by distributing disk I/O and calculation processes, respectively, and simulation runtime could thereby be decreased. The study results could be referenced to construct a large watershed runoff analysis system using a distributed model with high resolution spatial and hydrological data.

• Journal of the Korean Association of Geographic Information Studies
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• v.20 no.3
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• pp.170-180
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• 2017

This research analyzed the effect of a basic environmental facility siting on the difference in land prices using a case study of Jisan sewage disposal plant in Daegu metropolitan city. To do so, two buffer zones were generated around Jisan sewage disposal plant to 400m at an interval of 200m as a setback distance and 822 officially announced individual land prices were acquired from Korea Ministry of Land, Infrastructure and Transport(MOLIT). Paired samples t-test was performed to compare the mean difference in land prices before and after Jisan sewage disposal plant siting. Results show that the mean land price from each buffer zone was slightly increased after the siting and the difference was statistically significant. Also, the results indicate that the mean land price within 200m was lower than that between 200m and 400m before the siting while there was not different in the mean land price for both buffer zones after the siting. Because Jisan sewage disposal plant did not have a stench and a larger capacity and its surrounding areas were blended by commercial and residential uses, a sewage disposal plant siting had little effect on the fall in land prices unlike previous studies. The findings from this research will provide new reference data for local government and local people with conflicting views on the siting of a basic environmental facility.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.10
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• pp.4717-4737
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• 2017

Today, smart grids, smart homes, smart water networks, and intelligent transportation, are infrastructure systems that connect our world more than we ever thought possible and are associated with a single concept, the Internet of Things (IoT). The number of devices connected to the IoT and hence the number of traffic flow increases continuously, as well as the emergence of new applications. Although cutting-edge hardware technology can be employed to achieve a fast implementation to handle this huge data streams, there will always be a limit on size of traffic supported by a given architecture. However, recent cloud-based big data technologies fortunately offer an ideal environment to handle this issue. Moreover, the ever-increasing high volume of traffic created on demand presents great challenges for flow management. As a solution, flow aggregation decreases the number of flows needed to be processed by the network. The previous works in the literature prove that most of aggregation strategies designed for smart grids aim at optimizing system operation performance. They consider a common identifier to aggregate traffic on each device, having its independent static aggregation policy. In this paper, we propose a dynamic approach to aggregate flows based on traffic characteristics and device preferences. Our algorithm runs on a big data platform to provide an end-to-end network visibility of flows, which performs high-speed and high-volume computations to identify the clusters of similar flows and aggregate massive number of mice flows into a few meta-flows. Compared with existing solutions, our approach dynamically aggregates large number of such small flows into fewer flows, based on traffic characteristics and access node preferences. Using this approach, we alleviate the problem of processing a large amount of micro flows, and also significantly improve the accuracy of meeting the access node QoS demands. We conducted experiments, using a dataset of up to 100,000 flows, and studied the performance of our algorithm analytically. The experimental results are presented to show the promising effectiveness and scalability of our proposed approach.

• Journal of Korea Spatial Information System Society
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• v.10 no.4
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• pp.67-75
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• 2008

This study is for the effective training strategy of human resources for the u-City construction to support the u-City human resource development plan of the Ministry of Land, Transport and Maritime Affairs (MLTM). One of the biggest problems concerning u-City is the shortage of advanced human resources for the u-City constructions. The characteristic of u-City makes u-City related human resources had knowledge of various fields including IT, GIS, construction engineering, urban planning and so on. But, there are only a few programs to train u-City related human resources. Therefore, this research established the objective of the training strategy for u-City human resource development as "the training strategy of human resources for the successful u-City constructions". To achieve this objective, four different core strategies are established like followings: (1) demander-oriented education, (2) regional balanced education, (3) integration education of u-City related subjects, (4) u-City related education infrastructure development. These 4 different core strategies can be achieved from 5 sub projects like followings: (1) demand estimation of u-City human resources, (2) u-City education from selected regional core universities, (3) u-City education from u-City human resource education centers, (4) online education and (5) construction of education infrastructures. These 5 interrelated sub projects can be preconditions of the successful human resource strategy development.

• Journal of the Korean Association of Geographic Information Studies
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• v.13 no.1
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• pp.164-172
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• 2010

The objective of this research is to assess the level of urban park service provision in comparison to demand population size by region (e.g., dong) in Busan metropolitan areas. To this end, a park service provision assessment index is utilized. The index is built upon the difference between planned and actual levels of park service provision. For each region, planned level is obtained by multiplying the per capita service amount by the number of residents in that region. Actual level is estimated based on Huff model, where distance between parks and residential locations are explicitly accounted for in model building. Empirical analysis was carried out for Busan Metropolitan Area. The result shows that Gumsung-dong, Chunga-dong and Dongdaesin3-dong are well supplied with park service, while Hadan1-dong, Goejung2-dong and Joorae3-dong are under-provided when per capita service provision amount and the extent of service area are set to $6m^2$ and 1km, respectively. It is argued that those regions that suffer from under-provision need to be highlighted such that a priority is given to those areas for establishing new urban parks when renewing urban management plan.