• Journal of the Korean Institute of Traditional Landscape Architecture
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• v.38 no.1
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• pp.21-27
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• 2020

Completed in September 1796, Suwon Hwaseong Fortress is a defense facility with 49 facilities spanning 5,744m. During the Japanese occupation and the Korean War, many buildings and walls were damaged, and in 1975, it was restored to its current state through the restoration and restoration project in Suwon. Six of the entire facilities have not been restored by urbanization, of which the restoration of water spaces, including ditches buried in the ground, could be used as a place of rest and viewing for visitors. Tourists visiting Suwon Hwaseong, are satisfied with exploring the historic sites, but feel insufficient for enjoying the natural scenery around the castle. The best way to create a natural landscape in Suwon Hwaseong, where urbanization has been developed, is to create a water space to make you feel the traditional garden. Therefore, the location, shape, and functions of the unrestored water space of Hwaseong Fortress were analyzed through the analysis of 『Hwaseong Seongyeog Uigwe』 and 『Hwaseong Full Map』. The purpose of this study is to derive the traditional landscaping method by analyzing the characteristics of water space.

• Journal of Korean Society for Geospatial Information Science
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• v.22 no.2
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• pp.17-24
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• 2014

This paper proposes an automatic extraction method of control point based on Geospatial Web Service. The proposed method consists of 3 steps. 1) The first step is to acquires reference data using the Geospatial Web Service. 2) The second step is to finds candidate control points in reference data and the target image by SURF algorithm. 3) By using RANSAC algorithm, the final step is to filters the correct matching points of candidate control points as final control points. By using the Geospatial Web Service, the proposed method increases operation convenience, and has the more extensible because of following the OGC Standard. The proposed method has been tested for SPOT-1, SPOT-5, IKONOS satellite images and has been used military standard data as reference data. The proposed method yielded a uniform accuracy under RMSE 5 pixel. The experimental results proved the capabilities of continuous improvement in accuracy depending on the resolution of target image, and showed the full potential of the proposed method for military purpose.

• The Journal of the Korea Contents Association
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• v.15 no.2
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• pp.31-39
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• 2015

2D-to-3D video conversion vests 3D effects in a 2D video by generating stereoscopic views using depth cues inherent in the 2D video. This technology would be a good solution to resolve the problem of 3D content shortage during the transition period to the full ripe 3D video era. In this paper, a low-complexity depth generation method for 2D-to-3D video conversion is presented. For temporal consistency in global depth, a pattern-based depth generation method is newly introduced. A low-complexity refinement algorithm for local depth is also provided to improve 3D perception in object regions. Experimental results show that the proposed method outperforms conventional methods in terms of complexity and subjective quality.

• The Journal of the Convergence on Culture Technology
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• v.6 no.2
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• pp.239-250
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• 2020

This study was conducted to elicit the competencies of college faculties and their educational needs depending on the careers. 110 full-time professors from A college in Gyeonggi-do participated in this study from November 27 to December 7, 2018. The findings are that competencies of college faculties were found as 10 teaching competencies and 7 general competencies, and most of the competencies showed differences in importance and performance. In addition, according to the t-test and Borich needs analysis, there were differences in the educational needs of faculties depending on the three careers: a group with less than five years of experience, a group with six to ten years of experience, and a group with more than 11 years of experience. The results of this study suggest the systematic education and training program to improve the competencies of college faculties are necessary and show designing a concrete road map and training manual is needed.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.46 no.4
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• pp.132-138
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• 2009

In this paper, we propose a novel approach to improve the performance of minima controlled recursive averaging (MCRA) which is based on the second-order conditional maximum a posteriori (CMAP). From an investigation of the MCRA scheme, it is discovered that the MCRA method cannot take full consideration of the inter-frame correlation of voice activity since the noise power estimate is adjusted by the speech presence probability depending on an observation of the current frame. To avoid this phenomenon, the proposed MCRA approach incorporates the second-order CMAP criterion in which the noise power estimate is obtained using the speech presence probability conditioned on both the current observation and the speech activity decisions in the previous two frames. Experimental results show that the proposed MCRA technique based on second-order conditional MAP yields better results compared to the conventional MCRA method.

• Journal of the Korean Institute of Landscape Architecture
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• v.24 no.2
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• pp.74-85
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• 1996

The objective of this study is to investigate the influence of viewing aspects based on formal aesthetics and psychophysica approaches of the MAISAN provincial park for landscape management. Two methods are applied in this study. First, according to the field study with map the quantitative analyses of the viewshed area, visual section and scenery types were achieved, herein the visual landscape characteristics is found. Second, based upon visual preference evaluation of the relationships between the viewing aspects and visual preference scores to landscape slides were measured by questionnaires. The main conclusions obtained by the research are as follows. Visual area of MAISAN has a quite wide viewshed though itself is surrounded. The preference for the visual terminal were change by its characteristics to the visual corridors, view points, viewing types and viewing distance. Especially, the regression analysis between visual preference and viewing distance indicated Y=-3.20X\sup 2\+18.64X+20.64. In this case, viewing distance 794m from O\sub p\ is more important point for visual experience. The viewing types B·C and famous view A obtained a high visual preference score. A visual terminus are viewed along an entire RouteA, so revealed by its evolving spatial containment as to exact the full potential of its changing perspectives. Also we conducted the degree of visual influence by the shade in visual area at MAISAN and clarified viewing vantage Route and point in LSH being necessary for landscape preservation.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.48 no.5
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• pp.8-15
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• 2011

The goal of this paper is to describe how to construct an integrated simulation system that integrates limited perception-based mapping with spatial reasoning, path planning, and human motion style in order for a virtual soldier to effectively communicate with other virtual solders and/or human participants in a simulation. Virtual human research often ignores or simplifies perception by using a full map (with omniscient perception). In addition, previous research used a placement node where virtual environment designers save in advance the required information. However, this paper also shows that the human-like movement behavior can be achieved by the integrated ECA system with the mapping that supports a spatial understanding and does not require the omniscient perception.

• Korean Journal of Agricultural Science
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• v.47 no.2
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• pp.205-217
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• 2020

In this study, a deep learning-based tillage boundary detection method for autonomous tillage by a tractor was developed, which consisted of image cropping, object classification, area segmentation, and boundary detection methods. Full HD (1920 × 1080) images were obtained using a RGB camera installed on the hood of a tractor and were cropped to 112 × 112 size images to generate a dataset for training the classification model. The classification model was constructed based on convolutional neural networks, and the path boundary was detected using a probability map, which was generated by the integration of softmax outputs. The results show that the F1-score of the classification was approximately 0.91, and it had a similar performance as the deep learning-based classification task in the agriculture field. The path boundary was determined with edge detection and the Hough transform, and it was compared to the actual path boundary. The average lateral error was approximately 11.4 cm, and the average angle error was approximately 8.9°. The proposed technique can perform as well as other approaches; however, it only needs low cost memory to execute the process unlike other deep learning-based approaches. It is possible that an autonomous farm robot can be easily developed with this proposed technique using a simple hardware configuration.

• Journal of Korea Water Resources Association
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• v.43 no.4
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• pp.367-381
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• 2010

Recent urbanization and abnormal weather have induced enormous changes in the characteristics of both runoff and pollutant occurrence. Thus, sophisticated watershed modeling of water quality is required. In order to manage non point sources in a watershed, quantitative analysis should be preliminarily performed. However, it is difficult to conduct quantitative analysis since complex natural phenomenon need to be reflected in the modeling. Also, travel time analysis for pollutants and separation of point and non point sources are not easy to carry out. The objective of this study is to quantify non point sources in watershed using soil and land use map and to make the full use of the results in managing non point sources. To do this, non point sources are quantified using a watershed model, SWAT (Soil and Water Assessment Tools). The result of study conform with result of National Institute of Environmental Research.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.11C
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• pp.940-947
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• 2010

Motion Compensated Frame Interpolation(MCFI) has been used to reduce motion jerkiness for dynamic scenes and motion blurriness for LCD-panel display as post processing for high quality display. However, MCFI that directly uses the motion information often suffers from annoying artifacts such as blockiness, ghost effects, and deformed structures. So in this paper, we propose a novel edge-based adaptively weighted vector median filter as post-processing. At first, the proposed method generates an edge direction map through a sobel mask and a weighted maximum frequent filter. And then, outlier MVs are removed by average of angle difference and replaced by a median MV of $3{\times}3$ window. Finally, weighted vector median filter adjusts the weighting values based on edge direction derived from spatial coherence between the edge direction continuity and motion vector. The results show that the performance of PSNR and SSIM are higher up to 0.5 ~ 1 dB and 0.4 ~ 0.8 %, respectively.