• Korean Journal of Environment and Ecology
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• v.16 no.2
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• pp.188-194
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• 2002

Assessment institution of urban ecosystem is divided into ‘Urban Planning Act’and ‘Environmental Management Act’in Korea. The assessment institution of urban planning is divided into ‘Standard of land development approval’and ‘Environmental assessment of urban planning’. The institution of environmental management is divided into ‘Environmental impact assessment’and ‘Advance environmental assessment’. Assessment institution of urban ecosystem is progressed very slowly, because of development oriented policy. And so there are many problems that objective assessment method is not invented except ‘Degree of growing tree number per unit area’and ‘Degree of human disturbance of vegetation’, and insufficiency of conservation measures or post evaluation, etc. Activation of assessment institution of urban ecosystem is necessary followed countermeasures in Korea. (1) Development of objective assessment method for urban ecosystem as biotope map, (2) Appointment of censer-vation zone or consideration of damage for high value in conservation, (3) Parallel establishment of development and ecosystem conservation plan, and enforcing post evaluation

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.2
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• pp.111-116
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• 2009

In this paper, we propose a phase offset estimation algorithm which is based on turbo coded digital broadcasting system. The phase estimator is an estimator outside turbo code decoder using LMS (Least Mean Square) algorithm to estimate the phase of next state. While the conventional LMS algorithm with a fixed step size is easy implemented, it has weak points that are difficult the channel estimation and tracking in the multipath environment. To resolve this problem, we propose new phase offset estimation method with a variable step size LMS (VS-LMS). Additionally, we propose a scheme which consists of a conventional LMS. The performance is verified by computer simulation according to a fixed phase offset and a increased phase offset, the proposed algorithm improve the bit error rate performance than the conventional algorithm.

• Journal of the Korean association of regional geographers
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• v.21 no.3
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• pp.583-592
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• 2015

As the increase of an environmental disease has become a social problem after industrialization, academic interest in a spatial difference and characteristics of an environmental disease is on rise. The purpose of this study is to analyze the spatial distribution and characteristics of an environmental disease using the data provided by National Health Insurance Corporation in 2009. This research is focusing on atopic dermatitis among a variety of environmental diseases and shows the map that atopic dermatitis patients are distributed. Also, The Local Moran's I show how spatial autocorrelation of atopic dermatitis patients are distributed. First, the distribution of atopic dermatitis patients show the spatial difference. Second, 42 places including the western part of Incheon are hot spots of atopic dermatitis. Third, 39 places including Danyang are cold spot of atopic dermatitis. Forth, Jeju-si and Seogwipo-si are unusually hot spot of atopic dermatitis. These results have important implications that further research need to be done in public health geography.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.10
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• pp.4807-4813
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• 2012

Since the existing methods of segmenting target objects from various images mainly use 2-dimensional features, they have several constraints due to the shortage of 3-dimensional information. In this paper, we therefore propose a new method of accurately segmenting target objects from three dimensional stereoscopic images using 2D and 3D feature clustering. The suggested method first estimates depth features from stereo images by using a stereo matching technique, which represent the distance between a camera and an object from left and right images. It then eliminates background areas and detects foreground areas, namely, target objects by effectively clustering depth and color features. To verify the performance of the proposed method, we have applied our approach to various stereoscopic images and found that it can accurately detect target objects compared to other existing 2-dimensional methods.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.47 no.6
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• pp.82-90
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• 2010

In this paper, A new stereo matching method based on reliability space is proposed to acquire 3D information from 2D image. In conventional stereo matching methods, speed is sacrificed to achieve high accuracy. To increase the matching speed while maintaining a high accuracy, this paper proposes this stereo matching method. It first makes the disparity space image for comparing all of the pixels on the stereo images. Then it produce reliability space through analyzing this value. and, By comparing the reliability space according to disparity, it makes disparity map. Moreover, the parts that make regional boundary errors are corrected by classifying the boundary of each region with the reference to color edge. The performance of the proposed stereo matching method is verified by various experiments. As a result, calculation cost is reduced by 30.6%, while the image quality of proposed method has similar performance with the existing method.

• Korean Journal of Remote Sensing
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• v.33 no.5_2
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• pp.751-762
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• 2017

A crop information system can provide information regarding crop distribution, crop growth conditions, crop yield in various forms such as monitoring, forecasting, estimation or analysis. This paper presents the design and construction of a crop information system based on data collected in Korea, USA, and China. Therein, climate data including temperature, precipitation,solar radiation are used to evaluate the impact on crop growth, NDVI (Normalized Difference Vegetation Index) data is used in crop monitoring, and crop map data is utilized for the management of crop distribution. The system has achieved three prominent results: 1) Providing information with high frequency, 2) Automatically creating the report through the analysis of the data, 3) The users to easily approach the system and retrieve the information.

• Journal of the Institute of Electronics and Information Engineers
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• v.54 no.1
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• pp.88-95
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• 2017

In this paper, we present a saliency detection method using entropy weight and Weber contrast in the wavelet transform domain. Our method is based on the commonly exploited conventional algorithms that are composed of the local bottom-up approach and global top-down approach. First, we perform the multi-level wavelet transform for the CIE Lab color images, and obtain global saliency by adding the local Weber contrasts to the corresponding low-frequency wavelet coefficients. Next, the local saliency is obtained by applying Gaussian filter that is weighted by entropy of wavelet high-frequency subband. The final saliency map is detected by non-lineally combining the local and global saliencies. To evaluate the proposed saliency detection method, we perform computer simulations for two image databases. Simulations results show the proposed method represents superior performance to the conventional algorithms.

• Journal of Life Science
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• v.16 no.2 s.75
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• pp.219-224
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• 2006

Inter-simple sequence repeat (ISSR) analysis were used to assess genetic diversity among 18 genotypes of watermelon (Citrullus lanatus Thunb.) including breeding lines and commercial varieties. The 21 ISSR primers selected from 100 primers were showed the amplification of 105 reproducible fragments ranging from about 200 bp to 5000 bp. A total of 58 DNA fragments were polymorphic with an average 2.7 polymorphic bands per primer. The polymorphic primers were divided into 18 anchored primers and 3 non anchored primers. All of the anchored primers were di-nucleotide repeat motif, and was more polymorphic than non anchored primers. Eighteen watermelon genotypes were classified into two large groups. Clustering was in some accordance with the division of fruit shape into 18 watermelon. Therefore, ISSR markers may be suitable for variety discrimination and for constructing a linkage map of watermelon.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.16 no.6 s.97
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• pp.615-621
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• 2005

In this paper, a model for simulating synthetic aperture radar(SAR) images of earth surfaces. The earth surfaces include forest area, rice crop field, other agricultural fields, grass field, road, and water surface. At first, the backscattering models are developed for bare soil surfaces, water surfaces, short vegetation fields such as rice fields and grass field, other agriculture areas, and forest areas. Then, the SAR images are generated from the digital elevation model(DEM) and digital terrain map. The DTM includes ten parameters, such as soil moisture, surface roughness, canopy height, leaf width, leaf length, leaf density, branch length, branch density, trunk length, and trunk density, if applicable. The scattering models are verified with measurements, and applied to generate an SAR image for an area.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.26 no.5
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• pp.475-483
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• 2008

The purpose of this study is to figure out the research trend of surveying in Korea through the analyses of research field and the published year of surveying related papers in journals and theses of master and Ph. D. The papers and theses published since 1957 were collected and analyzed to find out the major research topics and trends with time. The analyses of research trends in terms of time showed certain correlation between research areas, for example, remote sensing is highly correlated with GIS (98%), GPS correlated with GIS(95%). Through the regression analysis, it was found that the trends of the most fields were well-fitted with a third-order polynomial except the field of Geodesy. Furthermore, it was predicted that the number of studies in general surveying, photogrammetry, remote sensing and land information will be increasing while those in GPS, GIS, digital map and Geodesy will be decreasing.