• The Journal of the Korea Contents Association
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• v.15 no.10
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• pp.150-159
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• 2015

This study attempted to test the scale effect of MAUP, particularly focusing on the spatial autocorrelation of sex crime, correlations among neighborhood structural variables, and causal mechanism leading to sex crime. Analysis results of nation-wide Eup-Myon-Dong and Si-Gun-Gu data discovered that the spatial autocorrelation, correlations among independent variables, and determinant coefficient of multiple regression of Si-Gun-Gu level were generally bigger and stronger than those of Eup-Myon-Dong, which appeared to be due to the averaging effect. Regarding the causal effect to sex crime, two interesting results were found: First, the ratio of non-apartment residency lowered sex crime at both levels contrary to the hypothesis. Second, the ratio of food and lodging increased sex crime only at Eup-Myon-Dong level. These suggested that future research need to perform more detailed analyses dividing data into subsets such as urban vs. rural and/or economically advantaged vs. disadvantaged areas.

• Korean Journal of Ecology and Environment
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• v.52 no.2
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• pp.151-160
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• 2019

The study of spiders that function as predators in agroecosystem can broaden the understanding of agroecosystems. This study investigated the effect of heterogeneity at different spatial scales on richness and abundance of spiders in upland and paddy fields. We collected 48 samples using pitfall traps at upland and paddy fields, respectively. The total species richness of spiders estimated by sample- and coverage-based rarefaction and extrapolation curves. The total species richness was high in the upland fields at the total study sites, whereas the average species richness per study site was high in the paddy fields. We confirmed that the diversity enhancement of spiders was influenced by the structural complexity of habitat at field-scale, and crop diversity at broader scale.

• Journal of the Korean Institute of Landscape Architecture
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• v.33 no.3 s.110
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• pp.1-17
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• 2005

오늘날 지속가능한 발전의 주요 목적으로서 환경의 효과적 보호와 신중한 자연자원의 이용이 강조된다. 이와 같은 목적들을 성취하기 위해서 종합적인 경관 정보가 필수적이다. 한국의 경우, 도시화는 전통적인 농촌 경관 변화, 산림 손실과 단편화 등 많은 환경 문제를 야기했다. 특히 산림이 높은 생물 다양성 가치를 갖고 있는 한국으로서는 산림 손실과 단편화는 생태관점에서 보면 아주 치명적이다. 현재 개인 또는 공공 부분 개발 프로젝트를 위한 환경 영향 평가의 일부분으로 시각 경관 영향 평가가 요구된다. 그러나 이런 시각 경관 영향 평가는 단지 전체 경관의 일부분의 경관 정보만을 제공하고, 특히 현재 경관 평가에서는 경관의 생물 다양성 가치를 평가하지 않는다. 본 연구는 이와 같은 문제점들을 극복하고 한국 상황에 맞는 지속가능한 경관 계획을 위한 필수적인 종합 경관 정보를 제공하기 위해서, 경관 특성과 생물 다양성 가치 평가를 위한 생태 이질성 지수를 결합한 진보된 경관 특성 평가 방법론을 제시하는데 그 목적이 있다. 이 방법론을 통해 경관 특성 평가에서 12가지 경관 특성 유형(type)을 분류하였고 그것의 분포, 경관 특성적 형태, 경관 특성에 부정적인 영향을 줄 수 있는 개발 압력 등을 분석하고 서술하였다. 분석 결과, 주택과 산업 단지 개발, 농지 형질 패턴 변경, 수변 공간 개발 등이 주요 개발 압력으로 나타났다. 경관 생태 이질성 평가 결과에서는 도시근교 지역과 농촌 경관 특성 유형 지역에서 잠재적 생물 다양성 가치가 높았다. 산림 지역 경관 특성 유형에서는 잠재적 생물 다양성 가치가 중간 수치로 나온 반면 도시 경관 특성 유형에서의 잠재적 생물 다양성 가치는 아주 낮았다. 비록 제한된 데이터와 경관 생태 이질성 지수 사용으로 인한 문제점들(스케일 종속적, 변화 패턴이 예측하기 힘든 지수, 자의적인 분류시 다른 결과 발생, 더 종합적인 생물 다양성 잠재력을 평가하기 위해서는 더 많은 다른 경관 생태 지수 필요 등)이 제기되었지만, 이 연구에서 제시된 진보된 경관 특성 평가 방법론을 통해 얻은 종합적인 경관 정보가 지속가능한 경관계획을 할 때 어떻게 잘 활용되어질 수 있는지 예로써 증명하였다. 그 결과 진보된 경관 특성 평가 방법론이 지속가능한 경관 계획을 위한 수단으로 사용될 수 있을 것으로 사료된다.

• Journal of the Korean Institute of Landscape Architecture
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• v.34 no.4 s.117
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• pp.69-83
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• 2006

Nature rehabilitation has become a major theme in river management in South Korea. An analysis and evaluation of the landscape is a crucial step to select the suitable tracts for developing or conserving land use in the process of landscape planning. The purpose of this paper is to establish a hierarchical procedure for the setting of the landscape units on the various scales at which field biologists performed their observations and to select the preserves through by a suitability model for synthesizing the ecological empirical, and biophysical data. An evaluation process needs to be performed according to the landscape scales: site, local, and regional scales, at which the environmental data were collected, analyzed, and synthesized. Introducing of three level scales was crucially necessary for evaluating the various multi level ecological data for zoning of preserves in river corridors. The evaluation level at different scales are hierarchically established into three phases. The first evaluation phase can be performed by the long length units defined by the ranges of stream widths at regional scale. Secondly, each of these long units can be divided into two or more segments according to its landscape homogeneity at local level. Finally the segments at the last phase can be designated according to the location of the reservoir weirs and bridges at site level. The conceptual model components are adopted for collecting, evaluating, and interpreting the biological and abiotic data at site level. Three preserves are selected, having high potentials for being intensely managed as the Ecological Education Areas in the river. Despite a lot of assumption the results are expected to facilitate discussion and decision making about which frameworks of evaluation are desirable and adaptable for integrating the ecological data into the rehabilitation design process in South Korea.

• Journal of Korean Society for Geospatial Information Science
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• v.24 no.1
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• pp.25-33
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• 2016

In order to visualize point based Location-Based Social Network Services(LBSNS) data on multi-scaled tile map effectively, it is necessary to apply tile-based clustering method. Then determinating reasonable numbers and size of tiles is required. However, there is no such criteria and the numbers and size of tiles are modified based on data type and the purpose of analysis. In other words, researchers' subjectivity is always involved in this type of study. This is when Modifiable Areal Unit Problem(MAUP) occurs, that affects the results of analysis. Among LBSNS, geotagged Twitter data were chosen to find the influence of MAUP in scale effects perspective. For this purpose, the degree of spatial autocorrelation using spatial error model was altered, and change of distributions was analyzed using Morna's I. As a result, positive spatial autocorrelation showed in the original data and the spatial autocorrelation was decreased as the value of spatial autoregressive coefficient was increasing. Therefore, the intensity of the spatial autocorrelation of Twitter data was adjusted to five levels, and for each level, nine different size of grid was created. For each level and different grid sizes, Moran's I was calculated. It was found that the spatial autocorrelation was increased when the aggregation level was being increased and decreased in a certainpoint. Another tendency was found that the scale effect of MAUP was decreased when the spatial autocorrelation was high.

• Journal of Biomedical Engineering Research
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• v.21 no.4
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• pp.333-338
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• 2000

In this paper, an automated segmentation algorithm is proposed for MR brain images using T1-weighted, T2-weighted, and PD images complementarily. The proposed segmentation algorithm is composed of 3 step. In the first step, cerebrum images are extracted by putting a cerebrum mask upon the three input images. In the second step, outstanding clusters that represent inner tissues of the cerebrum are chosen among 3-dimensional(3D) clusters. 3D clusters are determined by intersecting densely distributed parts of 2D histogram in the 3D space formed with three optimal scale images. Optimal scale image is made up of applying scale space filtering to each 2D histogram and searching graph structure. Optimal scale image best describes the shape of densely distributed parts of pixels in 2D histogram and searching graph structure. Optimal scale image best describes the shape of densely distributed parts of pixels in 2D histogram. In the final step, cerebrum images are segmented using FCM algorithm with its initial centroid value as the outstanding clusters centroid value. The proposed cluster's centroid accurately. And also can get better segmentation results from the proposed segmentation algorithm with multi spectral analysis than the method of single spectral analysis.

• Journal of IKEEE
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• v.9 no.2 s.17
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• pp.152-160
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• 2005

A prescaler is an essential building block for PLL-based frequency synthesizers and must satisfy high-speed and low-power characteristics. The design of D-flip flips used in the prescaler implementation is thus critical. Conventional TSPC D-flip flops suffer from glitches, unbalanced propagation delay, and unnecessary charge/discharge at internal nodes in precharge phase, which results in increased power consumption. In this paper a new dynamic D-flip flop is proposed to overcome these problems. Glitches are minimized using discharge suppression scheme, speed is improved by making balanced propagation delay, and low power consumption is achieved by removing unnecessary discharge. The proposed D-flip flop is employed in designing a 128/129 dual-modulus prescaler using $0.18{\mu}m$ CMOS process parameters. The designed prescaler operates up to 5GHz while conventional one can operate up to 4.5GHz under same conditions. It consumes 0.394mW at 4GHz that is a 34% improved result compared with conventional one.

• Journal of the Korea Organic Resources Recycling Association
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• v.15 no.3
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• pp.97-105
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• 2007

This study was conducted to compare the performances of acidogenic fermentation and hydrogen fermentation using bench-scale leaching-bed reactors for organic solid waste. Acidogenic fermenters were operated with dilution rates (D) of 2.0, 3.0 and $4.0d^{-1}$ after employing anaerobic sludge and hydrogen fermenters were operated with D of 2.0, 4.0 and $6.0d^{-1}$ after employing heat-treated anaerobic sludge. The highest chemical oxygen demand (COD) conversion efficiency (56.2%) was obtained in acidogenic fermentation with D of $3.0d^{-1}$. Only volatile fatty acid (VFA) was produced as a metabolite. On the other hand, hydrogen fermentation did not show higher COD conversion efficiency (49.3%) than acidogenic fermentation, but it produced hydrogen gas (5.1% of total COD) which was a clean and environmentally friendly fuel with a high energy yield. Therefore, either acidogenic fermentation or hydrogen fermentation could be applied to organic solid waste depending on the purpose of treatment, which could maximize the economics of anaerobic treatment.

• Journal of the Korean Society of Combustion
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• v.10 no.3
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• pp.17-24
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• 2005

A sub-millimeter scale catalytic combustor with a simple plate-shaped combustion chamber was fabricated. A porous ceramics support coated with platinum catalyst was placed in the chamber. The combustor has a gallium arsenide window on the top that is transparent to infrared ray. The temperature distribution in the combustion chamber was measured using infrared thermal imager while hydrogen-air premixture is steadily supplied to the combustor. The area where the catalytic reaction took place broaden for higher flow rate and lower equivalence ratio made activated area in the combustion chamber broaden. The amount of coated platinum catalyst did not affect the reaction. Stop of reaction, which is similar to flame quenching of conventional combustion, was investigated. Large content of heat generation and broad activated area are essential criteria to prevent stop of reaction that has a bad effect on the combustor performance.

• Proceedings of the Korea Multimedia Society Conference
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• 2003.11a
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• pp.144-149
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• 2003

본 논문은 그레이 스케일 인쇄 영상의 저작권을 보호할 수 있는 워터마킹 기법에 관한 연구이다. 기존의 인쇄영상 워터마크 기법은 순서 디더링(ordered dithering)을 이용하는 까닭에 인쇄 영상의 화질 감소가 발생한다. 본 연구에서는 영상 하프토닝 기법중 오류 확산(error diffusion) 알고리즘을 이용하여 화질을 개선한 영상내에 워터마크를 삽입한다. 제안된 알고리즘은 Hagit이 제안한 순서 디더링 셀 집합을 사용한 워터마크를 오류확산 하프토닝 이미지에 삽입함으로 영상의 시각적인 화질 감소가 없을 뿐만 아니라, 프린터와 스캐너에 의한 영상의 변형에도 워터마크의 삽입과 추출이 가능하다. 제안된 알고리즘으로 워터마킹하는 경우 스캐너와 프린터의 기기적인 특성에서 나타나는 잡음과 회전에도 강한 워터마크를 삽입하고 추출할 수 있다.