• Title/Summary/Keyword: 전략패턴

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Design And Realization For Efficiently Storing Microarray Data Using Structural Similarity (구조적 유사성을 이용한 마이크로어레이 데이터의 효율적인 저장을 위한 기법의 설계 및 구현)

  • Yun, Jong-Han;Shin, Dong-Kyu;Shin, Dong-Il
    • Proceedings of the Korean Information Science Society Conference
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    • 2008.06c
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    • pp.230-235
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    • 2008
  • 생명정보 대량 획득기술의 하나인 마이크로어레이(microarray)는 DNA와 각종 유적자 연구에 사용되는 도구로서 확립되면서, 생명정보학(bioinformatics)분야의 발전에 크게 기여하였다. 그러나 마이크로어레이는 생명정보학분야의 핵심기술 중 하나로 발전하였음에도 불구하고 마이크로어레이 실험으로 생성되는 데이터는 형태가 다양하고 매우 복잡한 형태를 갖기 때문에 데이터의 공유나 저장에서 많은 어려움을 겪는 것이 사실이다. 따라서 마이크로어레이 실험결과 분석을 위한 최소한의 컨텐츠가 정의되고 표준화 되었다. MIAME 데이터, MAGE-OM/ML과 같은 표준화된 공개 저장소는 전문 생물학 연구단체에게 과거부터 지금까지 주요 관심사가 되어왔다. 하지만 많은 공개저장소의 설립되었지만 마이크로어레이 데이터의 구조적 특징을 고려하여 효과적인 설계를 하지 않은 것이 사실이다. 본 논문은 표준을 따르는 동시에 마이크로어레이 데이터의 구조적 빈발 패턴이 반복되는 계층적 특징을 반영하는 전략을 제안한다. 이를 통하여 복잡한 데이터의 구조를 객체들의 빈발 패턴을 파악하여 그 계층을 줄임으로서 복잡도를 줄일 수 있었다. 이 과정에서 관계형 데이터베이스 기반의 공개저장소의 성능에 영향을 주는 관계 테이블(join-table)의 숫자는 줄어든다. 이에 따라, 성능은 개선된다. 이 전략을 통하여 생성된 테이블의 숫자는 원본 데이터를 단순 매핑시켜 저장하는 방법에 비하여 약 31%줄어든다. 결국 MAGE-ML 데이터의 저장과 로딩 시간은 이 논문에서 제시하는 전략을 적용하지 않은 방법에 비해 60%에서 65%를 줄일 수 있었다.

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A Study on Decision Factors in Selecting a Device at the Point of Smart Phone Purchase: Comparing the Perceptions between the First Buyers and Existing Buyers (스마트 폰 구매에 있어 기기 선택 결정요인에 관한 연구: 최초구매자와 재 구매자 인식 비교를 중심으로)

  • Song, In-Kuk
    • The KIPS Transactions:PartD
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    • v.19D no.1
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    • pp.121-126
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    • 2012
  • The study aims to identify and classify the decision factors in selecting a device, to measure buyers' perception for the factors at the point of smart phone purchase, and finally to propose the business strategies based on those purchase pattern changes. The research performs to not only investigate the decision factors through literature reviews, but also draw the device selection factors directly from buyers. The findings illustrated how the perceptions between the first buyers and existing buyers have been changes. The analyses will practically contribute as the references when the business strategy and policy are planned by smart phone related companies and the government.

Data Mining for CRM

  • 조성준
    • Proceedings of the Korea Database Society Conference
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    • 2001.06a
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    • pp.85-105
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    • 2001
  • o 대량의 데이터베이스로부터 탐색과 분석을 통하여 의미 있는 패턴이나 규칙을 찾아내는 과정 o 분류, 추정, 예측, 유사통합, 군집화, 기술 o 가설검정, 지식발견 (중략)

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A Note on Patterns in the Elementary Mathematics Education (초등수학교육에서의 패턴에 관한 소고)

  • Kang Sin po
    • Journal of Elementary Mathematics Education in Korea
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    • v.5 no.1
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    • pp.1-18
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    • 2001
  • This note includes that repeating patterns, knowledge of odd and even numbers, and the patterns in processing and learning addition facts. The potential to mathematical development of repeating patterns is Idly realized if the unit of repeat is recognized. Through the partition of numbers greater then 9 into two equal sets and into sets of 2s, It is necessary the teaching of children's knowledge of odd and even numbers. Being taught derivation strategies through patterns in numbers, we suggest that the teaching seguence to accelerate development of children's learning of additions facts.

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Design of Purchasing Pattern Classification System Using Nural Network and Multiple-Level Association Rules (신경망과 다단계 연관규칙을 이용한 구매 패턴 분류 시스템의 설계)

  • Lee, Jong-Min;Jung, Hong
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2000.05a
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    • pp.203-206
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    • 2000
  • 신경망을 이용해 고객집단을 분류하고 고객의 특성에 따라 세분화된 고객들에 대해 다단계 연관규칙을 적용해서 고객의 상품 구매패턴을 찾아 줌으로써 마케팅 전략 결정을 지원하는 구매패턴분류 시스템을 설계한다. 고객분류를 위한 신경망 시스템은 다층 퍼셉트론에 역전파 알고리즘을 이용한다. 주소, 구매금액, 구매횟수, 고객 구분, 상긴 등과 같은 고객정보를 입력층에 입력변수로 지정하고, 이에 따른 우량/일반고객을 출력변수로 지정한 후 신경망을 학습시키면, 실제의 우량/일반의 간과 예측되는 우량/일반의 값의 차이론 최소화시키면서 모형을 형성시켜 나가게 된다. 구매패턴 분류 시스템은 다단계 연관규칙을 이용한다. 고객분류 서브시스템을 통해 고객집단이 세분화되면 각각의 고객집단에 대해 TID와 품목 트랜잭션을 입력으로 cumulate 알고리즘과 개념계층을 이용해 일반화 과정을 수행하면서 빈발 항목을 찾게 되고 이론 근거로 항목간의 연관규칙을 찾아내게 된다.

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A Study on Pattern Recognition with Self-Organized Supervised Learning (자기조직화 교사 학습에 의한 패턴인식에 관한 연구)

  • Park, Chan-Ho
    • The Journal of Information Technology
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    • v.5 no.2
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    • pp.17-26
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    • 2002
  • On this paper, we propose SOSL(Self-Organized Supervised Learning) and it's architecture SOSL is hybrid type neural network. It consists of several CBP (Component Back Propagation) neural networks, and a modified PCA neural networks. CBP neural networks perform supervised learning procedure in parallel to clustered and complex input patterns. Modified PCA networks perform it's learning in order to transform dimensions of original input patterns to lower dimensions by clustering and local projection. Proposed SOSL can effectively apply to neural network learning with large input patterns results in huge networks size.

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Case Analysis of Verbal Interaction of Science-Gifted Elementary Students in Their Science Classes (초등 과학영재 수업에서의 언어적 상호작용 사례 분석)

  • Kim, Dong-Hyun;Kim, Hyo-Nam
    • Journal of The Korean Association For Science Education
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    • v.31 no.8
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    • pp.1145-1157
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    • 2011
  • The purpose of this study was to analyze and extract the features of verbal interactions between teacher and science-gifted students in their classes. For the purpose of this study, authors observed 27 elementary science classes for the science gifted of three elementary teachers. To analyze the verbal interactions in the classes, the authors have adopted the theoretical background, which was based on Sinclair & Coulthard's Initiative-Response-Feedback pattern. Verbal interactions in the classes were analyzed by Kim's framework, which modified Jeong's framework. IRF patterns were derived from the verbal interactions of science classes for the science gifted. As a result, authors obtained some important features in IRF pattern. The most commonly used IRF pattern was the teacher's managerial question-student's short answer pattern, which was due to the regional policy for the science gifted. The teacher's delayed feedback as well as the teacher's question was meaningful for student's thinking ability. If elementary teachers consider the pattern, the strategy should be applied, which is depending on student levels and levels of contents. But three teachers did not show the characteristic verbal interaction regarded as a pattern strategy. In the future, inservice programs about verbal interaction are needed for the science gifted classes.

Real-time ULTC control strategy using the dynamic movement capability of LDC variables of artificial neural network (인공신경회로망의 LDC 변수 동적이동 능력을 이용한 실시간 ULTC 제어전략)

  • 고윤석;김호용;이기서;배영철
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.21 no.2
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    • pp.541-551
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    • 1996
  • This study develops the real time ULTC(Under Load Tap Changer) control strategy with LDC setting values moved dynamically using artificial neural networks. The suggested strategy can improve the ULTC voltage compensation capability by building 2 types of neural networks, ANNs and ANNg. ANNs recognizes the uncompensated MTr sending voltage change caused by the receiving voltage variation. And ANNg dynamically determines the most appropriate ULTC setting valtage chanbe caused by the receiving voltage variation. And ANNg dynamically determines the most appropriate ULTC setting values by recognizing the voltage level obtained from ANNs, and the section load pattern for each time period. In order to evaluate the suggested approach, the ULTC voltage compensation strategy are simulated on a 8 feeder distribution system. Artificial neural networks developed in this study are implemented in FORTRAN language on PC 386.

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A Estimation Model of The Fuel Consumption Based on The Vehicle Speed Pattern (차량 속도패턴에 따른 연료소모량 관계식 산정)

  • Won, Min-Su;Gang, Gyeong-Pyo;Kim, Jeong-Wan
    • Journal of Korean Society of Transportation
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    • v.29 no.4
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    • pp.65-71
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    • 2011
  • It is practically hard to measure vehicle fuel consumption required to evaluate the energy-related governmental policies and traffic management strategies; the existing methods are too simplified due to the limited field data available. Existing methods are even unable to reflect the amount of fuel consumed when vehicles accelerate and decelerate, and such technical limitations have reduced the quality of the policy evaluation. This study proposes a new fuel consumption model that simultaneously considers the effects of both cruising speed and acceleration/deceleration of vehicles. A new fuel consumption model was developed based on the simulation data generated by AVL Cruise, a vehicle simulation program. The estimated by the proposed model was compared against the one from the existing method. Comparison results showed that the proposed model provided much reliable estimate (fuel consumption) than the other did.

The Growth of Private Enterprises in the 1990s and Regional Development in China (1990년대 중국 사영기업의 성장과 지역발전)

  • Lee, Won-Ho
    • Journal of the Economic Geographical Society of Korea
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    • v.8 no.2
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    • pp.285-299
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    • 2005
  • The economic reform in China since 1978 has been increasingly sped up and deepened. The recent development of private enterprises, especially, has significant economic and political implications, whereas its regional differentiation has considerable impacts on both the development potential of certain regions and overall regional growth pattern. This study aims to understand the regional pattern of private enterprise growth as well as the institutional change which has structured the growth process. The development of private enterprises turned out to be closely tied to the marketization strategy of dual-track system and policy needs to reduce the unemployment level in both urban and 겨ral China. The regional pattern of the private enterprise growth can be characterized as ever-increasing spatial differentiation. Based on the basic statistical analysis results, it is argued that the private enterprise growth is closed related with the marketization level of the regional economy. Therefore, the strategy of developing private sector will be more important in shaping the regional development path as well as potential.

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