• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.26 no.1
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• pp.9-16
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• 2008

Korea's GIS market has been proliferating since the 1990s, but still its scale and the structure require overall rearrangements. Recently as the needs and initiatives from central and local governments go stronger to drive 'u-City(ubiquitous City)' developments, there are much more demand of spatial information from sectors like city management, construction, environment and so on. Through the merge between GIS and the advanced Information and Telecommunication Technology, the introduction of new Ubiquitous IT is swiftly changing GIS market environments, so the GIS industry is to be prepared for this trend. The pioneering developments of Ubiquitous-related GIS technologies are expected to highly boost spatial data and related industries, and the pre-occupancy of those technologies in the world would enable the expansion of overseas export market. In the context of these epoch-making chances, by looking into the actual status of GIS industry, this study is to investigate the actual accomplishments to foster the GIS industry through Korea's National GIS Master Plan. Thereby, impending issues will be discussed to provide useful problem-solving suggestions.

• Journal of Industrial Convergence
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• v.20 no.7
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• pp.57-64
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• 2022

There are various structures in the underground space, and the structures is managed as 3D data in Integrated Underground Geospatial Map Management System(IUGMMS). The worker transmits and updates the integrated map including the changed underground geospatial data to IUGMMS with the completed book submission program. However, there is a problem in that the transmission time and the update time is delayed because the size of the integrated map file is large. In this paper, we try to extract and transmit only the changed integrated map by obtaining and comparing each spatial characteristic information of the integrated map. As a result of the experiment, the transmission time of the suggestion method is short and the update time is also short than the transitional method because the suggestion method transmits only the integrated map including the changed underground geospatial data. As a result, it was possible to reduce the delay time in transmitting and updating the changed integrated map.

• International Journal of Computer Science & Network Security
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• v.23 no.3
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• pp.177-186
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• 2023

Hyperspectral imaging technology is one of the most efficient and fast-growing technologies in recent years. Hyperspectral image (HSI) comprises contiguous spectral bands for every pixel that is used to detect the object with significant accuracy and details. HSI contains high dimensionality of spectral information which is not easy to classify every pixel. To confront the problem, we propose a novel RGB channel Assimilation for classification methods. The color features are extracted by using chromaticity computation. Additionally, this work discusses the classification of hyperspectral image based on Domain Transform Interpolated Convolution Filter (DTICF) and 3D-CNN with Bi-directional-Long Short Term Memory (Bi-LSTM). There are three steps for the proposed techniques: First, HSI data is converted to RGB images with spatial features. Before using the DTICF, the RGB images of HSI and patch of the input image from raw HSI are integrated. Afterward, the pair features of spectral and spatial are excerpted using DTICF from integrated HSI. Those obtained spatial and spectral features are finally given into the designed 3D-CNN with Bi-LSTM framework. In the second step, the excerpted color features are classified by 2D-CNN. The probabilistic classification map of 3D-CNN-Bi-LSTM, and 2D-CNN are fused. In the last step, additionally, Markov Random Field (MRF) is utilized for improving the fused probabilistic classification map efficiently. Based on the experimental results, two different hyperspectral images prove that novel RGB channel assimilation of DTICF-3D-CNN-Bi-LSTM approach is more important and provides good classification results compared to other classification approaches.

• Journal of the Korean Geotechnical Society
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• v.22 no.11
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• pp.101-111
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• 2006

Slope stability analysis is a geotechnical engineering problem characterized by many sources of uncertainty. Some of them are connected to the variability of soil properties involved in the analysis. In this paper, a numerical procedure of probabilistic analysis of slope stability is presented based on Spencer's method of slices. The deterministic analysis is extended to a probabilistic approach that accounts fur the uncertainties and spatial variation of the soil parameters. The procedure is based on the first-order reliability method to compute the Hasofer-Lind reliability index and Monte-Carlo Simulation. A probabilistic stability assessment was performed to obtain the variation of failure probability with the variation of soil parameters in homogeneous and layered slopes as an example. The examples give insight into the application of uncertainty treatment to the slope stability and show the impact of the spatial variability of soil properties on the outcome of a probabilistic assessment.

• Journal of Korean Society of Rural Planning
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• v.30 no.4
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• pp.197-207
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• 2024

This study aims to find an evaluation methodology for selecting target sites for efficient promotion of rural space development projects. It examines the status of livestock farms, residential buildings, factories, and solar power facilities across 229 towns and townships in Jeollanam-do and uses basic statistical analysis, K-means clustering, and Pareto analysis to categorize sites by harmfulness and density. The basic analysis method and the K-means clustering method are useful for analyzing and interpreting data, but each method has several drawbacks: achieving statistical significance and the difficulty of determining the number of clusters. In this study, Pareto analysis produces results similar to those of basic analysis because it also highlights the most significant factors affecting the overall outcome. Pareto analysis specifically focuses on identifying and visualizing the top contributors to a problem or situation, often using the 80/20 rule, which states that approximately 80% of effects come from 20% of causes. This can be particularly useful for prioritizing areas that need improvement. The methodology proposed in this study enables straightforward and objective planning and policy decision-making for future rural space improvement projects based on rural spatial planning.

• The KIPS Transactions:PartD
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• v.11D no.4
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• pp.983-990
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• 2004

Multiple-count problem is occurred when rectangle objects span across several buckets. The CD histogram is a technique which selves this problem by keeping four sub-histograms corresponding to the four points of rectangle. Although It provides exact results with constant response time, there is still a considerable issue. Since it is based on a query window which aligns with a given grid, a number of errors nay be occurred when it is applied to real applications. In this paper, we propose selectivity estimation techniques using the generalized cumulative density histogram based on two probabilistic models : \circled1 probabilistic model which considers the query window area ratio, \circled2 probabilistic model which considers intersection area between a given grid and objects. Our method has the capability of eliminating an impact of the restriction on query window which the existing cumulative density histogram has. We experimented with real datasets to evaluate the proposed methods. Experimental results show that the proposed technique is superior to the existing selectivity estimation techniques. Furthermore, selectivity estimation technique based on probabilistic model considering the intersection area is very accurate(less than 5% errors) at 20% query window. The proposed techniques can be used to accurately quantify the selectivity of the spatial range query on rectangle objects.

• Journal of the Korean Geographical Society
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• v.29 no.3
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• pp.281-296
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• 1994

It is generally accepted that there is always a potential for crisis in the capitalist society because of the internal contradiction of capitalism. The contradiction is explicitly and implicitly expressed in space. The fundamental contradiction in capitalism, however, is controlled and mediated by the state (i.e., the capitalist state). We thus could argue that the state plays an important role in the capitalist society and in the capitalist spatial formation. It is necessary to note how and why spatial structure has developed unevenly in capitalist societies, particularly in the U.S., The general concept of uneven geographical development is understood in the context of the capitalist economic system and the role of the state. But the problem is that the capitalist state itself has a contradiction between the productive function (i.e., accumulation function) and the reproductive function (i.e., legitimation function). The compromise of the two functions is always the dilemma of the state and the state becomes the object of class struggle (e.g., political class struggle) . The research questions are as follows. First, what is the role of the state in the economic structure and what is the internal problem of the state\ulcorner Second, what is the role of the state in space economy (or in spatial structure)\ulcorner And last, what is the relation between the federal state and the local state in the U.S. and how does the relation form the urban policies and thus the urban and regional development\ulcorner The paper will be looking at how the political economy in the U.S. explains unevenly developed geographical phenomenon.

• Journal of Biosystems Engineering
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• v.41 no.3
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• pp.263-272
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• 2016

Purpose: Pulse crop damage due to wild birds is a serious problem, to the extent that the rate of damage during the period of time between seeding and the stage of cotyledon reaches 45.4% on average. This study investigated a method of fundamentally blocking birds from eating crops by conducting vinyl mulching after seeding and identifying the growing locations for beans to perform punching. Methods: Infrared (IR) sensors that could measure the temperature without contact were used to recognize the locations of soybean cotyledons below vinyl mulch. To expand the measurable range, 10 IR sensors were arranged in a linear array. A sliding mechanical device was used to reconstruct the two-dimensional spatial variance information of targets. Spatial interpolation was applied to the two-dimensional temperature distribution information measured in real time to improve the resolution of the bean coleoptile locations. The temperature distributions above the vinyl mulch for five species of soybeans over a period of six days from the appearance of the cotyledon stage were analyzed. Results: During the experimental period, cases where bean cotyledons did and did not come into contact with the bottom of the vinyl mulch were both observed, and depended on the degree of growth of the bean cotyledons. Although the locations of bean cotyledons could be estimated through temperature distribution analyses in cases where they came into contact with the bottom of the vinyl mulch, this estimation showed somewhat large errors according to the time that had passed after the cotyledon stage. The detection results were similar for similar types of crops. Thus, this method could be applied to crops with similar growth patterns. According to the results of 360 experiments that were conducted (five species of bean ${\times}$ six days ${\times}$ four speed levels ${\times}$ three repetitions), the location detection performance had an accuracy of 36.9%, and the range of location errors was 0-4.9 cm (RMSE = 3.1 cm). During a period of 3-5 days after the cotyledon stage, the location detection performance had an accuracy of 59% (RMSE = 3.9 cm). Conclusions: In the present study, to fundamentally solve the problem of damage to beans from birds in the early stage after seeding, a working method was proposed in which punching is carried out after seeding, thereby breaking away from the existing method in which seeding is carried out after punching. Methods for the accurate detection of soybean growing locations were studied to allow punching to promote the continuous growth of soybeans that had reached the cotyledon stage. Through experiments using multiple IR sensors and a sliding mechanical device, it was found that the locations of the crop could be partially identified 3-5 days after reaching the cotyledon stage regardless of the kind of pulse crop. It can be concluded that additional studies of robust detection methods considering environmental factors and factors for crop growth are necessary.

• Journal of the Korean Geographical Society
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• v.48 no.2
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• pp.259-271
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• 2013

This paper addresses the efficient facility placements to adopt a super WiFi network, taking significant considerations as the next generation 'information highway'. Since the super WiFi has a wider geographic coverage by utilizing the white spaces of TV broadcasting which are empty and available frequencies for the wireless communications, it would play an important role in releasing digital divide of the internet access for low populated or mountainous areas. The purpose of this paper is to explore systematic and efficient spatial plans for the super WiFi. For doing this, we applied optimal location covering models to Gurye-gun, Jeonlanamdo. From the application, we presented optimal locations for super WiFi facilities and significant analytical results, such as the tradeoff between the number of facilities and coverage and marginal coverage for establishing super WiFi network. The results of this research would be usefully utilized for decision makers who wish to adopt a super WiFi, to extend wireless networks in a city or build a regional infrastructure of wireless facilities.