• 산업기술연구
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• 제20권B호
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• pp.213-218
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• 2000

The nearest neighbor query is an important operation widely used in multimedia databases for finding the object that is most similar to a given query object. Most of techniques for processing nearest neighbor queries employ multidimensional indexes for effective indexing of objects. However, the performance of previous multidimensional indexes, which use N-dimensional rectangles or spheres for representing the capsule of the object cluster, deteriorates seriously as the number of dimensions gets higher. This paper proposes a new index structure based singular value decomposition resolving this problem and the query processing method using it. We also verify the superiority of our approach through performance evaluation by performing extensive experiments.

• 한국초전도ㆍ저온공학회논문지
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• 제24권4호
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• pp.78-83
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• 2022

REBCO coated conductors are widely used for HTS power application, high magnetic field magnet application, and etc. A thermal stability of the REBCO conductor is essential for the operation of HTS-based device, and thermal conductivities of the conductor are relevant parameters for modeling cryogenic heat transfer. REBCO conductors consist of a REBCO layer, copper layers for electrical stabilization and a hastelloy substrate. At cryogenic temperature, thermal conductivity of copper and silver strongly depend on the purity of the material and the intensity of the magnetic field. In this study, thermal conductivities of the laminated composite structure of REBCO conductor are evaluated by using the thermal network model and the multidimensional heat conduction analysis. As a result, the thermal network model is applicable to REBCO conductors configured in series or parallel alone and multidimensional heat conduction analysis is necessary for complex cases of series and parallel configuration.

• 대한가정학회지
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• 제44권11호
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• pp.67-78
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• 2006

Self-concept is a multi-dimensional characteristic including self-image and self-evaluation. Self-image is the descriptive side of self-concept and is composed of the real self-image and the ideal self-image. Self-evaluation is the appraisable side self-concept and is composed of the internal self-concept, external self-concept and total score of self-concept. The purposes of this study were to determine the correlation of self-image and self-evaluation and to identify the effects of self-image and self-evaluation on consumption value. The data were collected from 237 college women residing in Gwangju using a questionnaire to investigate real/ideal self-image, self-evaluation and consumption value. The results were analyzed with factor analysis, Pearson's correlation and multiple regression analysis using statistical program SPSS 10.0. The results of this research were as follows. 1. The real self-image and ideal self-image had a significant correlation with internal self-concept, external self-concept and total score of self-concept. It was ensured that self-image and self-evaluation are one side of the multidimensional self-concept. 2. The real/ideal self-image and internal/external self-evaluation had a significant influence on consumption value. The real self-image and external self-evaluation were the most important variables explaining the consumption value.

• International Journal of Contents
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• 제7권3호
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• pp.13-18
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• 2011

Oriental medicine statistics are essential in research planning, research evaluation, and policy decision based on objective data. However, integrated administration of such statistics is not presently possible in the oriental medicine field, which has been slow in incorporating information communication technology. In an effort to address this problem, the Korea Institute of Oriental Medicine (KIOM) developed an oriental medicine statistical system in 2009, and the system has been offered in the traditional medicine information portal of OASIS. However, according to a 2010 survey targeting OASIS users, those surveys reported that needs for a system where various statistical data can be extracted via an interactive approach to multidimensional data. As a result of an analysis of the functions of the existing system, it was found that it is necessary to array and arithmetically analyze Stats Value, Drill Up & Drill Down, and Pivot. To this end, the existing DB schema should be redesigned. Based on our analysis result, we redesigned the database into a structure that is applicable to the reverse pivot algorithm. We used J2EE/JSP and a Flex framework to design and develop an oriental medicine statistical system that can provide multidimensional statistical data. Considering that the improved oriental medicine statistical system is planned to be offered by OASIS of KIOM, utilization and value of oriental medicine statistical data are expected to be enhanced.

• 한국멀티미디어학회논문지
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• 제6권5호
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• pp.909-920
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• 2003

CRM을 위해서는 다차원 분석이 가능한 OLAP (On-Line Analysis Processing)기술을 적 용한 방법 그리고 데이타 마이닝을 이용한 방법들이 각광 받고 있다. 고객 데이터 중에서 웹 로그 데이터를 실시간에 다차원 분석을 하기 위해서는 OLAP을 사용해야 한다. 그러나 OLAP을 적용하게 되면 웹 로그 데이터 자체가 가지고 있는 특성에 의해 희박성이 발생되고, 사전 집계 연산을 수행 할 시 데이터의 폭발(Explosion)현상이 일어난다. 이는 저장공간의 낭비 뿐 아니라 다차원 질의 시 성능 저하를 발생 시킨다. 본 논문에서는 웹 로그 데이터의 희박성에 대한 체계적인 접근을 위해 희박성을 발생시키는 원인과 2,3 차원의 희박성 형태들에 대해 밝혀보고, 이러한 분석을 기반으로 성능 평가를 위한 테스트 데이터 모델과 질의 모델을 설계하였다. 그리고 희박성 처리를 위해 청크 방식을 사용한 MOLAP시스템을 구현해 보고, 이 시스템과 MS SQL 2000 Analysis Services, Oracle Express의 성능을 평가 및 분석 해보았다. 이는 웹 로그 데이터내의 희박성을 효율적으로 처리할 수 있는 저장구조와 인덱스 방식을 발견하는데 토대가 될 수 있다.

• 한국정보과학회논문지:데이타베이스
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• 제28권4호
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• pp.632-642
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• 2001

최근접 질의(nearest neighbor query)는 멀티미디어 데이타베이스에서 주어진 질의 객체와 가장 유사한 객체를 찾기 위한 매우 중요한 연산으로 사용된다. 대부분의 최근접 질의 처리 기법들은 객체의 효과 적인 인덱싱을 위하여 다차원 인덱스(multidimensional index)를 사용한다. 그러나 N차원 사각형 혹은 원을 사용하여 객체 클러스터의 캡슐 표현하는 기존의 다차원 인덱스들은 타원 수가 높아짐에 따라 검색 성능이 크게 떨어진다. 본 논문에서는 이러한 단순한 캡슐 표현 방식이 최근접 질의 처리의 성능을 저하시키는 주요 원인임을 지적하고, (1) 클러스터에 적합한 새로운 축 시스템(axis system)의 채택, (2) 원과 사각형의 조합 에 의한 다양한 캡슐 형태의 표현. (3) 아웃 라이어(outlier)의 별도 관리 등의 해결 방안을 제안한다. 또한, 이러한 개념들을 채택하는 인덱싱 구조를 제시하고. 이를 이용하는 최근접 질의 처리 방안을 제안한다. 끝으 로, 다양한 실험에 의한 성능 평가를 통하여 제안된 기법의 우수성을 검증한다.

• 대한가정학회지
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• 제33권4호
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• pp.157-172
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• 1995

The purpose of this study was to develop a measurement model for evaluation of residential environment in low-income families. Residential environment means the housing unit itself and neighborhoods and community characteristics. Based on the previous research on housing environment, six factors (comfortable environment in indoor and outdoor, facilities environment in complex and community, sociopsychological environment, management and economic environment) were selected to evaluate residential environment and to provided a foundation for exploring the multidimensional factors of this research. As s confirmatory study, an Analysis of Linear Structural Relationships(LISREL) was utilized to develop the model. Despite of some measurement errors, the goodness of fit of an overall model was acceptable. Facilities environment in complex and sociopsychological environment were the most important factors in residential environmental evaluation of the low income families. the findings showed that housing policies and programs to improve the quality of homes in low-income families seemed to be beneficial to improve residential satisfaction of the residents.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 1989년도 추계학술발표회 발표논문초록집; 이화여자대학교, 서울; 23 Sep. 1989
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• pp.30-39
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• 1989

일반적으로 cluster의 수가 미정인 상황하에서의 clustering문제는 semistructured문제로 알려져 있다. clustering문제를 구조화하는데 있어서 해의 품질평가(evaluation of solution quality)가 필수적이나 각 응용분야에 널리 적용될 수 있는 척도는 아직까지 개발되어있지 못한 상태이다. 그 주된 원인은 cluster해에 대한 개념적 차원에서의 평가기준은 제시되어있으나 척도의 구현에 있어서는 제시된 개념들이 명확하게 적용될 정도의 수준으로는 구체화되지 못한데에 기인한다고 할 수 있다. 본 연구의 목적은 개체차원이 다차원으로 확장된 clustering문제를 대상으로하는 clustering문제의 척도개발에 있다.

• 동아시아경상학회지
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• 제7권2호
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• pp.21-30
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• 2019

Purpose - In this work, we categorize the 21 shopping items which foreign tourists purchase in South Korea and monitor the level of dissimilarity (or similarity) between each item by utilizing distance matrix, and both hierarchical and k-means cluster analyses, respectively, based on several purpose of visit attributes in 2017. In addition, multidimensional scaling (MDS) method is applied for mining visual appearance of proximities among shopping items based on purpose of visit attributes. Research design and methodology - This study is carried out in 2017 by Ministry of Culture, Sports and Tourism and conduct a face-to-face survey of foreign tourists from 20 countries who purchase shopping items in South Korea. CLUSTER, PROXIMITIES and ALSCAL modules in IBM SPSS 23.0 are used to perform this work. Results - We ascertain that 21 shopping items can be classified into five similar groups which have homogeneous traits by going through two-step cluster analysis. We can position homogeneous places of cluster and shopping items joining each cluster. Conclusions - We can relatively assess patterns and characteristics of each shopping item, come by useful information in activating shopping tour based on the actual state of recognition of foreign tourists and practically apply to each tourism industry on underlying results.

• 대한후두음성언어의학회지
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• 제29권1호
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• pp.5-8
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• 2018

Patients who have the head and neck cancer are usually treated by surgery, radiation therapy, chemotherapy, or combinations of them. These treatments can induce variable degree of aspiration with dysphagia. The type and severity of aspiration depends on the size and location of the original tumor, the structures involved, and the treatment modality used for treatment. The management of aspiration after the head and neck cancer's treatment begins with an accurate evaluation for the cause and mechanism of aspiration through modified barium swallow (MBS) and fiberoptic endoscopic examination of swallowing (FEES). Then, the clinician can use postures, maneuvers, and exercises to treat the swallow disorder and to help the patient achieve optimal function. To achieve optimal swallowing without aspiration, multidimensional rehabilitation by various medical personnel is definitely necessary.