• 제목/요약/키워드: Selection Analysis

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Efficient Key Detection Method in the Correlation Electromagnetic Analysis Using Peak Selection Algorithm

  • Kang, You-Sung;Choi, Doo-Ho;Chung, Byung-Ho;Cho, Hyun-Sook;Han, Dong-Guk
    • Journal of Communications and Networks
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    • 제11권6호
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    • pp.556-563
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    • 2009
  • A side channel analysis is a very efficient attack against small devices such as smart cards and wireless sensor nodes. In this paper, we propose an efficient key detection method using a peak selection algorithm in order to find the advanced encryption standard secret key from electromagnetic signals. The proposed method is applied to a correlation electromagnetic analysis (CEMA) attack against a wireless sensor node. Our approach results in increase in the correlation coefficient in comparison with the general CEMA. The experimental results show that the proposed method can efficiently and reliably uncover the entire 128-bit key with a small number of traces, whereas some extant methods can reveal only partial subkeys by using a large number of traces in the same conditions.

Research On The Relevance Between Mixed-use Complex and User Behaviour Based On Three-dimensional Spatial Analysis

  • Zhendong Wang;Yihan Pan;Yi Lu;Xihui Zhou
    • 국제초고층학회논문집
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    • 제12권1호
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    • pp.83-91
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    • 2023
  • Under the dual pressure of population growth and land shortage, threedimensional development is the inevitable choice for cities in China. In such a scenario, a mixed-use complex has considerable potential in its realization and research. Based on space syntax and the three-dimensional visibility graph analysis, this paper describes the spatial and functional layout of the Shanghai Super Brand Mall and studies the relationship between spatial visibility and user behaviour through linear regression analysis and correlation analysis. This paper studies three different types of user behaviour, namely, path selection, staying selection, and store selection, and finds that spatial visibility and accessibility have different effects on user behaviour depending on the type and purpose of the activity. This paper reveals the influence of spatial and functional layout on user behaviour and puts forward the corresponding design strategy under the three-dimensional environment.

IP분석에 의한 온천관광지 선택속성 평가 연구 (A Study on the Evaluation of Selection Attributes of Spa Destination by IPA)

  • 김시중
    • 한국경제지리학회지
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    • 제12권2호
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    • pp.159-178
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    • 2009
  • 본 연구는 중요도-성취도 분석에 의한 온천관광지의 선택속성에 대한 중요도 및 성취도 평가 그리고 선택속성 중요도의 차이 분석에 목적이 있었다. 연구대상인 유성 온천관광지 방문객을 대상으로 온천관광지 선택속성에 대한 실증분석을 실시하였으며, 분석결과는 다음과 같다. 첫째, 32개 선택속성에 대한 요인분석결과 5개 요인('온천 및 부대시설', '온천관광지 주변여건', '친절 추천의사', '온천수' 및 '온천비용')이 추출되었다. 둘째, 온천관광지의 선택속성별 중요도 및 성취도에 대한 평균값의 차이에 대한 검정 결과, 통계적으로 유의하였으며, '온천 및 부대시설' 요인, '친절 추천의사' 요인, '온천비용' 요인, '온천관광지 주변여건' 및 '온천수'의 순위로 평균값의 차이가 큰 것으로 나타났다. 셋째, IP분석에 의한 온천관광지 선택속성 평가결과, I사분면('지속적 노력필요')에 9개, II사분면('과잉노력 지양')에 4개, III사분면('우선시정 필요')에 7개 그리고 IV사분면('저 우선순위')에 12개의 선택속성이 위치하고 있는 것으로 나타났다.

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패밀리 레스토랑 쌀 메뉴 선택속성의 중요요인과 만족요인의 관계 (Relationships Between Importance and Satisfaction of Rice-based Menu Selection Attributes of Family Restaurants)

  • 구자혁;이상건;윤유식
    • 한국지역사회생활과학회지
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    • 제19권4호
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    • pp.497-507
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    • 2008
  • This study investigated relationships between the importance and satisfaction of rice-based menu selection attributes at family restaurants. For data collection, a total of 250 copies of questionnaires were distributed to 4-year college students who had an experience of a rice-based menu at casual dining restaurants, and finally 221 surveys (88.4%) among them were analyzed by using SPSS Win ver. 11.5. Twenty selection attributes were used to test the level of importance and satisfaction for rice-based menu. The factor analysis identified six dimensions of the importance of rice-based menu selection attributes; variety of items, menu information, recommendation & atmosphere, food quality, preferred menu, and price. Also, five dimensions of satisfaction were identified as nutrition & taste, menu information, preferred menu & atmosphere, variety of items, and cooking. Canonical correlation analysis revealed that preferred menu factor of importance was highly correlated with preferred menu and restaurant atmosphere factor of satisfaction of rice-based menu selection. The managerial implications of these results for rice-base menu selection attributes are as follows: There seems to be a need to develop a variety of rice-based menus, because rice-based menus tend to be considered as an additional menu, not a main course. Aggressive marketing and communication strategies are necessary to position rice-based menu as a main course for college students and as a major maket segment to family restaurants.

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소비자의 의류상점선택기준에 따른 시장세분화와 마케팅전략 (Market Segmentation and Marketing Strategy According to Apparel Retail Store Selection Criteria of Consumer)

  • 이선재;장은영
    • 한국의류학회지
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    • 제16권4호
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    • pp.471-484
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    • 1992
  • The purpose of this study was 1) to find out Market segmentation possibilities according to consumer's store selection factors by analysis of Consumer's attitude and oriteria of apparel store selection, 2) to provide marketing strategies of segment marker for apparel stores Research problems were as follows. 1) To find out the important factors of consumer's store selection and to segment markets according to their factors. 2) To find out consumer characteristics (demographic variables, clothing life factors, cloth-ing purchase behaviors) according to segment markets. 3) To find out preference store types and preference factors according to segment markets. 4) To provide marketing mix strategy for retail apparel store sales. The subjects selected for the final analysis were 586 female college students, housewives, and workers living in Seoul. A questionnaire was developed in order to measure consumer's selection criteria of apparel store, consumer characteristics and preferred store types and preferential factors. The results of this study were as follows: 1. There were 8 factors of consumer's store selection such that: the high quality, convenience, store atmosphere, economy, dependency commercials, store patronage, the conformity, product assortment. the result of cluster analysis based on these 8 factors of store selection verified that market was able to be segmented as four different market, which were the store loyalty group, the aligned economical group, the assortment pursuing group, the store fame dependent group. 2. There were significant differences among four groups, for 4 variables related to consumer's characteristics such as demographic characteristics (sex, age, job, level of education, the living quarters, marrige or unmarrige), clothing life factors, clothing evaluating criteria, and favorite fashion information sources. 3. There were significant differences among four groups for 2 variable related to store preference such as preference types of store and preference factors of store.

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업종별 물류단지 입지 선정을 위한 실증적 연구 (A Study on the Factor Analysis of Distribution Center Location Selection by Industry)

  • 오선일;조광희;강경식
    • 대한안전경영과학회지
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    • 제14권3호
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    • pp.207-220
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    • 2012
  • Nowadays, logistics parks are no longer simply storage areas but rather the center of corporate supply activities. As the importance of logistics increases, so does the value of logistics related facilities. Unlike the past, in which the sole purpose of logistics services was the spatial movement of materials through transportation, modern logistics are required to carry out functions such as timely adjustment and swift adaptation to changing patterns, and this leads to the emphasis on forming logistics parks. Logistics parks make profits using the efficiency of time and space. Such logistics parks play an important role in a corporation creating operating profits as well as acting as a method of alternative investment for individuals. Logistics parks no longer simply store materials, but have become a place that plays an important role in various areas of corporate and individual activities, and thus the analysis of the selection of the location of logistics parks and the related characteristics is extremely important. There are many existing studies on the selection of locations of logistics parks but work on the factors related to location selection by industry seem lacking. As such, in the course of this study we have used preceeding studies to draft a questionnaire on which selection factors affect the selection of logistics park location in different industries and conducted empirical analysis of the questionnaire results to uncover the factors that affect the selection of the locations of logistics parks in different industries.

초등융합영재 선발요소의 상관관계 및 그룹 차이 분석 (Analysis of Correlation and Group Difference for Selection of Elementary Fusion Gifted Students)

  • 민미경;김갑수
    • 정보교육학회논문지
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    • 제22권4호
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    • pp.491-500
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    • 2018
  • 4차 산업혁명시대에 필요한 인재는 특정 학문에 종속되는 것이 아니라 여러 학문들을 융합할 수 있어야 한다. 초등학생들의 경우에 다양한 변화의 가능성이 있기 때문에 융합적인 사고를 갖는 것이 중요하다. 따라서 초등학교 영재를 선발할 때에도 융합 영재 학생들을 선발하고 있다. 본 연구에서는 융합 영재 학생들을 선발할 때에 창의적인 문제 해결력, 서류 평가, 면접 요소들이 학생 선발에 어떤 영향을 미치는지 알아본다. 연구 결과 창의적 문제해결력이 선발에 미치는 영향력이 가장 높다. 5학년의 경우에는 창의적인 문제 해결력과 서류 평가가 선발에 영향을 미치고, 4학년의 경우에는 창의적인 문제 해결력과 면접이 선발에 영향을 미치고. 여학생들은 창의적인 문제해결력과 서류 평가가 선발에 영향을 미친다는 것을 알 수 있었다. 그룹별로 차이를 분석한 결과, 성별에서는 서류 평가에서 성별로 차이가 있었고, 학년별 유의미한 차이점이 없다는 것을 알 수 있었다.

노선선정을 위한 GSIS와 전문가체계의 연계 (Linkage of GSIS and Expert System for Route Selection)

  • 이형석;배상호;강준묵
    • 한국측량학회지
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    • 제19권2호
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    • pp.137-146
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    • 2001
  • 도로의 노선선정에 필요한 지형공간정보의 분석 및 처리에 따른 효율성을 증진시키기 위해서는 지형공간정보체계의 분석기능이 필요하다. 또한 합리적인 노선 선정을 위해서는 각 노선을 정량적으로 평가할 수 있는 기법으로 전문가의 지식과 경험을 필요로 하는 체계의 연계성이 이루어져야 한다. 본 연구에서는 지형공간정보체계의 위치정보 구축과 분석과정을 통한 노선선정모형을 제시하고 전문가 체계를 연계한 노선선정체계를 개발하였다. 개발한 체계는 세 단계 계층 기반의 객체지향기법을 적용한 도형 사용자 접속 환경의 윈도우용 체계로서 조건에 따른 노선선형을 제시할 수 있도록 사용과 유지관리를 손쉽게 하였다. 지형공간정보체계를 이용하여 노선선정에 필요한 다양한 정보를 데이터베이스에 구축하고 3차원 지형 분석을 실시하여 대상지역의 특성을 효과적으로 파악하였으며, 영향권 및 중첩 분석과 위치정보연산을 통해 통제지역을 추출하였다. 노선선정체계를 통해 입력된 시종점간에 3개의 비교노선을 선정할 수 있었다. 따라서 본 개발 체계를 실제 대상지역에 적용하여 구체적인 비교 평가를 시도함으로써 노선선정체계의 적용 가능성을 입증하고자 하였다.

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Simultaneous outlier detection and variable selection via difference-based regression model and stochastic search variable selection

  • Park, Jong Suk;Park, Chun Gun;Lee, Kyeong Eun
    • Communications for Statistical Applications and Methods
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    • 제26권2호
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    • pp.149-161
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    • 2019
  • In this article, we suggest the following approaches to simultaneous variable selection and outlier detection. First, we determine possible candidates for outliers using properties of an intercept estimator in a difference-based regression model, and the information of outliers is reflected in the multiple regression model adding mean shift parameters. Second, we select the best model from the model including the outlier candidates as predictors using stochastic search variable selection. Finally, we evaluate our method using simulations and real data analysis to yield promising results. In addition, we need to develop our method to make robust estimates. We will also to the nonparametric regression model for simultaneous outlier detection and variable selection.

DEA/AHP 모형을 이용한 R&D 프로젝트 선정모형 및 Web 기반 R&D 프로젝트 선정시스템 개발 (Development of R&D Project Selection Model and Web-based R&D Project Selection System using Hybrid DEA/AHP Model)

  • 이덕주;배성식;강진수
    • 대한산업공학회지
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    • 제32권1호
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    • pp.18-28
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    • 2006
  • Some issues which should be considered in an R&D project selection problem are as follows: First, quantitative analysis on the efficiencies of R&D projects is required to guarantee objective validity in the evaluation of the projects. For this reason, the methodology for selecting R&D projects should be based on mathematical models that perform quantitative analysis. Second, in general there are ordinal factors like Likert-scale in the data for evaluating R&D projects. Previous researches, however, couldn't suggest explicit methods incorporating these ordinal factors into models. Third, for the R&D project selection problems with limited resources like budget, it is necessary to decide the perfect ranking of the all projects. This paper develops a mathematical model that can be applicable to the problems of selecting R&D projects with the previous features. In this paper, we improve the original DEA model for evaluating efficiency to incorporate ordinal factors and suggest a new model which can decide the perfect ranking of all projects by merging the improved DEA model and AHP method. Furthermore a web-based R&D project selection system using the DEA/AHP model suggested in this paper is developed and illustrated.