• Spatial Information Research
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• v.11 no.2
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• pp.101-117
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• 2003

High resolution satellite image analysis has been recognized as an effective technique for monitoring local land-cover and atmospheric changes. In this study, a new high resolution map for land-cover was generated using both high-resolution IKONOS image and conventional land-use mapping. Fuzzy classification method was applied to classify land-cover, with minimum operator used as a tool for joint membership functions. In separateness analysis, the values were not great for all bands due to discrepancies in spectral reflectance by seasonal variation. The land-cover map generated in this study revealed that conifer forests and farm land in the ground and tidal flat and beach in the ocean were highly changeable. The kappa coefficient was 0.94% and the overall accuracy of classification was 95.0%, thus suggesting a overall high classification accuracy. Accuracy of classification in each class was generally over 90%, whereas low classification accuracy was obtained for classes of mixed forest, river and reservoir. This may be a result of the changes in classification, e.g. reclassification of paddy field as water area after water storage or mixed use of several classification class due to similar spectral patterns. Seasonal factors should be considered to achieve higher accuracy in classification class. In conclusion, firstly, IKONOS image are used to generated a new improved high resolution land-cover map. Secondly, IKONOS image could serve as useful complementary data for decision making when combined with GIS spatial data to produce land-use map.

• Journal of Korea Game Society
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• v.9 no.4
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• pp.3-10
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• 2009

Recently, various ways are being explored for enhancing the fun of computer games and lengthening the life cycle of them. This paper proposes the more active game environment by reflecting the decision that is made by collecting and analyzing user's behavioral data. The game results and traveling information of user is using for dynamic map creation. For experiment of the proposed method, we created games using the XNA Framework and confirmed the game environment which changing properly according to the user's game play.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.19 no.5
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• pp.11-17
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• 2016

The purposes of this research are to estimate area of greenable roof and to monitor maintaining of green roofs using World-View 2 images. The contents of this research are development of World-View 2 application technologies for estimation of green roof area and development of monitoring and maintaining of green roofs using World-View 2 images. The available green roof areas in Gwangjin-gu Seoul, a case for this study, were estimated using digital maps and World-View 2 images. The available green roof area is approximately 12.17% ($2,153,700m^2$) of the total area, and the roof vegetation accounts for 0.46% ($80,660m^2$) of the total area. For verification of the extracted roof vegetation, Vworld 3D Desktop map service was applied. The study results may be used as a decision-making tool by the government and local governments in determining the feasibility of green roof projects. In addition, the project implementer may periodically monitor to see whether roof greening has maintained for efficient management of projects, and a vast amount of World-View 2 images may be regularly used before and after the projects to contribute to sharing of satellite images information.

• The Journal of the Korea Contents Association
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• v.11 no.4
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• pp.414-427
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• 2011

The Means-end theory has successfully been applied in academics circles and is one of the qualitative methodologies, aiming at classifying into groups based on the specific values that they pursue. The more specific purposes of this study is to identify the relationship between the levels of abstraction and HVM(Hierarchical Value Map) and to identify the statistical changes in frequency activated cell and ladders among A-C-V. And lastly, to suggest the HVM according to the levels of abstraction. The subjects of this study includes the 100 hikers who joined the hiking at least once a year for 2007. The results of analysis show that as the level of abstraction goes up, the HVM itself is depicted more simple and the loss of information is also occurred. Consequently, the decision of levels of abstraction is should be made on the basis of objective validity.

• Proceedings of the KSRS Conference
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• 2004.10a
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• pp.264-267
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• 2004

In identifying flood vulnerable areas, three methods are generally deployed: the geomorphology method which is based on topographic features; the past evidence method based on observed data of past actual floods; and, prediction of flood areas through hydrologic models. This study aims to improve the prediction model of the geomorphology method through the application of fuzzy method in GIS modeling. The generally used GIS method of superimposing thematic map layers assumes crisp boundaries of the layers, which results in either risk-averse solutions or risk-taking solutions. The introduction of fuzzy concepts to processing of evaluation criteria (DEM, slope, aspect) solves this problem. As the result of applying the fuzzy method to a test site in the west Nak-Dong river, similar flood vulnerable areas were predicted as when using the conventional Boolean criteria. The resulting map, however, showed varying degree of uncertainty of flooding in these areas. This extra information is deemed to be valuable in taking phased actions during flood response, leading to a more effective and timely decision-making.

• Journal of Korean Academy of Nursing Administration
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• v.15 no.4
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• pp.571-580
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• 2009

Purpose: The purpose of this study was to explore roles of cancer care coordinator's by developing job description, job specification and job process map using dynamic job analysis. Method: The development process consisted of three stages of vertical job analysis and three stages of horizontal job analysis by modifying Song(1997)'s dynamic job analysis. Focus group interview was used to validate the content of the job analysis. Results: Cancer care coordinator's job description was categorized into six major categories, fourteen intermediate categories and one hundred forty specific jobs. Major categories are professional nursing practice, consultation and counsel, coordination and collaboration, education, research and leadership. Cancer care coordinator's job specification included master's degree with over five years of clinical experience preferably relevant clinical area, professional knowledge on pathophysiology of cancer, case management and cost control, competency for communication and counselling skills and clinical decision making. Cancer care coordinator's job process map was framed with time(horizontal) and activities(vertical). Conclusion: The Outcomes of this study will guide to develop possible areas of oncology advanced practice nurses in hospital setting and facilitate the use of oncology nurse practitioners by developing care coordinator roles in cancer care.

• Journal of Sensor Science and Technology
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• v.6 no.2
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• pp.123-130
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• 1997

In this paper, we present an original stereo vision system which comprises two process: 1. An image segmentation algorithm based on new concept called declivity and using automatic thresholds. 2. A new stereo matching algorithm based on an optimal path search. This path is obtained by dynamic programming method which uses the threshold values calculated during the segmentation process. At present, a complete depth map of indoor scene only needs about 3 s on a Sun workstation IPX, and this time will be reduced to a few tenth of second on a specialised architecture based on several DSPs which is currently under consideration.

• Journal of Korea Spatial Information System Society
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• v.5 no.2 s.10
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• pp.33-53
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• 2003

This study presents the system to develop the web-based pro-environmental road planning and evaluation system in order to support the decision making for the land development. It was found that the proposed system can display the analysis result 3 dimensionally based on digital map and it can be applied to document development towards efficient operations.

• Journal of Institute of Control, Robotics and Systems
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• v.21 no.11
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• pp.1017-1026
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• 2015

Infrared (IR) target detection is one of the key technologies in Automatic Target Detection/Recognition (ATD/R) for military applications. However, IR sensors have limitations due to the weather sensitivity and atmospheric effects. In recent years, sensor information fusion study is an active research topic to overcome these limitations. SAR sensor is adopted to sensor fusion, because SAR is robust to various weather conditions. In this paper, a Boolean Map Visual Theory-Morphology (BMVT-M) method is proposed to detect targets in SAR and IR images. Moreover, we suggest the IR and SAR image registration and decision level fusion algorithm. The experimental results using OKTAL-SE synthetic images validate the feasibility of sensor fusion-based target detection.

• Journal of the Korea Society of Computer and Information
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• v.16 no.11
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• pp.245-253
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• 2011

Due to the imprudent spending of the fossil fuels, the environment was contaminated seriously and the exhaustion problems of the fossil fuels loomed large. Therefore people become taking a great interest in alternative energy resources which can solve problems of fossil fuels. The wind power energy is one of the most interested energy in the new and renewable energy. However, the plants of wind power energy and the traditional power plants should be balanced between the power generation and the power consumption. Therefore, we need analysis and prediction to generate power efficiently using wind energy. In this paper, we have performed a research to predict power generation patterns using the wind power data. Prediction approaches of datamining area can be used for building a prediction model. The research steps are as follows: 1) we performed preprocessing to handle the missing values and anomalous data. And we extracted the characteristic vector data. 2) The representative patterns were found by the MIA(Mean Index Adequacy) measure and the SOM(Self-Organizing Feature Map) clustering approach using the normalized dataset. We assigned the class labels to each data. 3) We built a new predicting model about the wind power generation with classification approach. In this experiment, we built a forecasting model to predict wind power generation patterns using the decision tree.