• 한국지리정보학회지
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• 제8권2호
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• pp.68-80
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• 2005

오늘날 도시는 이를 구성하는 공간 즉, 토지자원의 사적활용과 공공적 활용에 따라 다양한 모습을 창출하며, 그 중에서도 도시공원은 공공적 공간으로서 도시민의 공동이익을 위한 계획적 조성이 필요한 지역이다. 본 연구에서는 시민이용도를 제고할 수 있는 공원조성을 위해, 부산시역내 근린공원 현황과 개발실태를 분석하고, 수립된 개별공원의 조성계획서를 수집하여 도입시설 유형과 공원규모별, 사업진척별 비교를 통해 문제점을 도출하였다. 아울러 시민이용성에 기초한 근린공원 입안과 조성계획수립에 따른 평가에 중점을 두어 기존연구와 다른 접근을 시도하였다. 이를 통해 근린공원 지정목적인 시민의 건강과 휴양 그리고 정서생활의 향상에 기여하고 공원기능 회복을 위한 정책방안을 제시하였다. 결과를 요약하면 다음과 같다. 첫째, 부산시역내 공원은 입지적 측면에서 볼 때, 시가화구역과 접한 산지형의 공원지정이 대다수를 차지하고 있음을 알 수 있다. 둘째, 개발사업 위주의 공원조성과 도입시설의 단조로움을 들수 있다. 셋째, 공원의 양적 확보와 도입시설 획일화 경향을 보인다. 넷째, 조성계획의 사업성 미약을 들 수 있다. 마지막으로 개발사업의 공원면적 협소와 관리 부재이다.

• 한국생활과학회지
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• 제6권2호
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• pp.95-113
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• 1997

The purpose of this study was to examine prepurchase information seeking behavior and postpurchase satisfaction levels for the diet products. Ninty-one women who were living in Cheongju-city area were selected. The survey was conducted during 1996. 7. 25$\sim$8. 12, and questionnare and SAS PC program were utilized. The major findings were as follows : 1. The level of information seeking activity was found to be rather low level, 9.2/20. 2. Friend colleague neighborhood were found to be the most important information source. 3. The level of information seeking according to diet product attributes was found to be rather high, 2.5/3. 4. The level of satisfaction was found to be rather low, 1.6/3. 5. Positive relationships were found between satisfaction level and friend colleague neighborhood, and family relatives out of 6 information sources.

• 대한음성학회:학술대회논문집
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• 대한음성학회 2007년도 한국음성과학회 공동학술대회 발표논문집
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• pp.295-297
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• 2007

This study suggests a computational model to inquire the roles of phonological information and orthography information in the process of visual word recognition among the courses of language information processing and the representation types of the mental lexicon. As the result of the study, the computational model showed the phonological and orthographic neighborhood effect among language phenomena which are shown in Korean word recognition, and showed proofs which implies that the mental lexicon is represented as phonological information in the process of Korean word recognition.

• 전자공학회논문지S
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• 제34S권6호
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• pp.30-37
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• 1997

We present an efficient technique, bidirectioanl inertial maximum cost search technique, for th edetection and segmentation of circular shaped objects using the spatial information around the neighborhood of the boundary candidates. This technique searches boundary candidates using local pixdl information such as pixel value and its direction. And then to exclude pseudo-boundary caused by shadows or noises, the local contrast is defined between the clique of the boundary candidates and the cliques of the background. In order to effectively segment circular shaped boundary, the technique also uses the curvature based on trigonometirc function which determines circular shaped boundary segments. Since the proposed technique is applied to the pixel cliques instead of a pixel itself, it is proposed method can easily find out circular boundaries form iamges of the PCB containing circular shaped parts and the trees with round fruits compared to boundary detection by using the pixel information and the laplacian curvature.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2008년도 하계종합학술대회
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• pp.1017-1018
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• 2008

In this paper, we propose a method that makes use of neighborhood relationship in 2D spectrogram of separated sources toward the generalization of the binary mask in Degenerate Unmixing Estimation Technique (DUET). A new generalized mask can be consist of five to ten mask. According to the new mask, the original power of the spectrogram in each frequency-time point is assigned. The result showed a smooth and tender wave-form, indicating a high speech separation performance compared to the original method.

• 전자공학회논문지B
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• 제33B권10호
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• pp.1-11
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• 1996

In this paper, a robust receding horizon control algorithm, which can be employed for a wide class of nonlinear systems with control and state constraints, modeling errors, and disturbances, is considered. In a neighborhood of the origin, a linear feedback controlelr for the linearized system is applied. Outside this neighborhood, a receding horizon control is applied. Robust stability is proved considering the time taken to solve an optimal control problem so that the proposed algorithm can be applied as an on-line controller.

• 한국통신학회논문지
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• 제22권5호
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• pp.1107-1115
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• 1997

In this paper, we propose an error concealment method to recovre damaged block-based image coding schemes. Channel errors during transmission of image data such as bit errors or cell loss result in damaged image blocks in the reconstructed images. To recover damaged blocks is to estimate them using the correctly received or undamaged neighborhood information. In the proposed method, an overcomplete basis for a large block containing a damaged block at its center is introduced and damaged blocks are recovered by sequentially projecting the known neighborhood information onto the overcomplete basis function. Computer simulations show that the proposed algorithm outperforms the conventional method in subjectie recovery qualities as well as objective ones.

• Journal of the Korean Data and Information Science Society
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• 제28권3호
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• pp.505-513
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• 2017

최근, 더욱 상세하고 정확한 추정 결과를 위해 소지역추정(small area estimation; SAE)의 연구가 많이 진행되고 있다. 그 중 공간회귀모형 (spatial regression model)을 이용한 방법이 주를 이루고 있는데 이를 사용하기 위해서는 공간이웃 (spatial neighbor)의 정의가 필요하다. 본 연구에서는 공간이웃을 정의하는 방법으로 도로네 삼각망 (Delaunay triangulation; DT)을 소개하고 k-최근접 (k-nearest neighbor; KNN)과 비교하여 분석한다. 두 가지 공간이웃을 정의하는 방법중에서 어떤 방법으로 이웃을 정의하는 것이 효율적인지 알아보기 위해 시뮬레이션을 실시하였고, 지가 (land price)데이터를 이용하여 실 데이터를 분석하였다.

• 한국도서관정보학회지
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• 제6권
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• pp.105-140
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• 1979

This study is an attempt to present a model of the effective service area for branch library system planning in Dae Gu city as one of large urban public libraries in Korea. This model is built up through the analysis of the distribution of population and characteristics of community structure, based on the standard for the branch library system of a public library. The results are summarized as follows: 1. Under the circumstances of this country, each radius of the effective service area for branch libraries are as follows; $1{\sim}1.5km$. is adequate for the central library and major branches; 1km. for neighborhood branches; $0.5{\sim}0.8km$. for sub-branches. 2. Population within the radius of the effective service area of a given branch may range from 80,000 to 100,000 for major branches, from 50,000 to 60,000 for neighborhood branches, and from 20,000 to 30,000 for sub-branches. 3. The radius of the outer boundary for the effective service area may be between 4km. and 5km. from the heart of the city, and the inner boundary, 13.km. 4. Areas with the radius between 2km. and 3km. from the heart of the city may be selected as the most effective locations for branch libraries, and between 3km. and 4km. as the next priority. 5. The number of service areas may be 14, that is, 7 major branches(Sinam, Sinchun, Susung, Daemyung, Naedang, Dalsung, Rowon), 2 neighborhood branches (Pyungri, Nambu), and 5 sub-branches(Chimsan, Sangiuk, Bongduk, Hyomok, Dongchon)

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2010년도 추계학술발표대회
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• pp.625-628
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• 2010

This paper proposes a novel feature extraction method for unsupervised multispectral image segmentation based in one dimensional combined neighborhood differences (1D CND). In contrast with the original CND, which is applied with traditional image, 1D CND is computed on a single pixel with various bands. The proposed algorithm utilizes the sign of differences between bands of the pixel. The difference values are thresholded to form a binary codeword. A binomial factor is assigned to these codeword to form another unique value. These values are then grouped to construct the 1D CND feature image where is used in the unsupervised image segmentation. Various experiments using two LANDSAT multispectral images have been performed to evaluate the segmentation and classification accuracy of the proposed method. The result shows that 1D CND feature outperforms the spectral feature, with average classification accuracy of 87.55% whereas that of spectral feature is 55.81%.