• Title/Summary/Keyword: 다중대응분석

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K-평균 군집분석을 활용한 다중대응분석의 재해석

  • 김경희;최용석
    • Proceedings of the Korean Statistical Society Conference
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    • 2001.11a
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    • pp.175-178
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    • 2001
  • 다원분할표에서 범주들의 대응관계를 그래프적으로 보여주는 다중대응분석(multiple correspondence analysis)은 주결여성(principal inertia)이 총결여성(total inertia)에서 차지하는 비율이 전반적으로 낮아 설명력(goodness-of-fit)이 낮은 2차원의 대응분석그림을 얻게 된다. 이를 극복하기 위해 Benzecri의 공식을 사용하면 낮은 주결여성을 높이고 새로운 2차원 대응분석그림을 얻을 수 있다. 그러나 이 새로운 대응분석그림도 범주들의 대응관계를 명확히 보여주지는 못한다(Greenacre and Blasius, 1994, chapter 10). 앤드류 플롯(Andrews plot)을 이용하여 범주들의 군집화(clustering)로 다중대응분석을 재해석 하고자 하나 범주의 수가 많은 경우 해석상 어려움이 따른다. 본 소고에서 이와 같은 경우 K-평균 군집분석을 활용하여 다중대응분석의 해석을 용이하게 하고자 한다.

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Quantification and Graphical Method for DNA Fingerprinting (유전자검사자료의 통계분석을 위한 수량화 및 그래프 방법)

  • 박미라
    • The Korean Journal of Applied Statistics
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    • v.15 no.1
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    • pp.85-105
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    • 2002
  • To explore the relationships among frequencies for sets of alleles, within or between loci, is one of the first analyses in population genetic study. The general question is whether the frequency of a set of alleles is the same as the product of each of the separate allele frequencies. For two alleles of a single locus, Hardy-Weinberg equilibrium is tested and for an allele from each of two loci, linkage disequilibrium is tested. However, it is more useful if we can quantify and graphically represent this information. In this study, we suggest graphical methods to find associations between alleles. We also analyze the STR data of Korean population as an illustration.

INFLUENCE FUNCTIONS IN MULTIPLE CORRESPONDENCE ANALYSIS (다중 대응 분석에서의 영향 함수)

  • Hong Gie Kim
    • The Korean Journal of Applied Statistics
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    • v.7 no.1
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    • pp.69-74
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    • 1994
  • Kim (1992) derived influence functions of rows and columns on the eigenvalues obtained in correspondence analysis (CA) of two-way contingency tables. As in principal component analysis, the eigenvalues are of great importance in CA. The goodness of a two dimensional correspondence plot is determined by the ratio of the sum of the two largest eigenvalues to the sum of all the eigenvalues. By investigating those rows and columns with high influence, a correspondence plot may be improved. In this paper, we extend the influence functions of CA to multiple correspondence analysis (MCA), which is a CA of multi-way contigency tables. An explicit formula of the influence function is given.

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A Study on the Detection of Infringement Threats Using Multiple Cybersecurity AI Models and Visualization of Response Based on ELK (다중 사이버 보안 AI 모델을 이용한 침해위협 탐지와 ELK 기반 대응 시각화에 대한 연구)

  • In-Jae Lee;Chan-Woong Park;Oh-Jun Kwon;Jae-Yoon Jung;Chae-Eun Kim
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.11a
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    • pp.799-800
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    • 2023
  • 최근 많은 기업체들은 점점 고도화되고 있는 사이버 공격 위협에 대응하기 위해 다양한 보안 솔루션 도입 및 종합적인 네트워크 보안 분석을 수행하고 있다. 하지만 보안 영역에 많은 자원과 예산을 투입할 여력이 없는 중소형 업체들은 특히 침해위협 탐지와 대응 결과시각화에 대한 어려움을 겪고 있다. 이에 따라 본 연구에서는 다중 사이버 보안 AI 모델구현을 통해 다각도의 사이버 침해위협 발생 가능성을 예측하고, 추가적으로 오픈소스 기반의 ELK 플랫폼을 통한 대응 결과 시각화를 구현하고자 한다.

Effect of Preventive and Prepared Fire Administration on Response Fire Administration (예방소방행정과 대비소방행정이 대응소방행정에 미치는 영향)

  • Lee, Wonjoo;Lim, Jae Hoon;Moon, Kwang Min
    • Fire Science and Engineering
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    • v.34 no.2
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    • pp.120-130
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    • 2020
  • This study aimed to provide an empirical analysis of the effect of preventive fire administration (PVFA) and prepared fire administration (PPFA) on response fire administration (RPFA) in fire service organizations in Korea. To this end, panel data was collected from 16 metropolitan councils from the period of 2008 to 2018 and statistically analyzed using PVFA, PPFA, and RPFA. The independent variables were PVFA and PPFA, while the dependent variable was RPFA. The analysis of the current situation of the specific target for firefighting (STFF), public use facilities, proof of completion of safety families for public use facilities, and special fire inspection were sub-variables of PVFA. Fire safety education (FSE) and the mobilization for fire suppression (MFS) were sub-variables of PPFA and RPFA, respectively. In the results, STFF and FSE had a significant positive influence on the MFS. This study will contribute to the basic research regarding the investigation of the effectivity of fire service organizations in Korea.

Study on the Management Plan for the Preparation of Chemical Terrorism in Multi-use Facilities (다중이용시설 화학테러에 대비한 관리방안 연구)

  • Yoon, Seong Yong;Kim, Si-Kuk;Hong, Sungchul
    • Fire Science and Engineering
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    • v.33 no.2
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    • pp.68-78
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    • 2019
  • In modern society, the paradigm of terrorism is shifting to the form of soft targets focusing on an unspecified number of people, which is different from previous terrorist tendencies, and frequent attacks using chemicals. Therefore, this study analyzed the evacuation environment and characteristics, manual analysis of a terror response manual, and the domestic chemical management status of multi-use facilities, and proposed the following management measures for chemical terror prevention in multi-use facilities. First, a multi-use facility guideline for prompt onsite response is proposed. Second, an improvement plan is suggested through the analysis of the manual for counter terrorism. Third, integrated management is proposed through the selection of chemicals available for terrorism. Through this, it is expected that an additional improvement plan will be prepared for countermeasures against chemical terrorism in multi-use facilities. In the future, it will be necessary to analyze the problems through cases of foreign countries and take customized countermeasures.

Analysis of employee's characteristic using data visualization (데이터 시각화를 이용한 취업자 특성분석)

  • Cho, Jang Sik
    • Journal of the Korean Data and Information Science Society
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    • v.25 no.4
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    • pp.727-736
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    • 2014
  • The fundamental concerns of this paper are to analyze the effects of some characteristics on the employment of new college graduated students in viewpoint of data visualization. We use individual and department characteristic data of K-university graduated students in 2010. We apply multiple correspondence analysis, decision tree analysis, association rules and social network analysis for data visualization. The results of the analysis are summarized as follows. First, an analysis of the determinants of employment shows that GPA, department category, age and number of majors, recruiting time affect the employment rate. Second, higher GPA and natural category of department positively affect the employment rate. Finally, low age, single major and early recruiting time also positively affect the employment rate.

A Realtime Malware Detection Technique Using Multiple Filter (다중 필터를 이용한 실시간 악성코드 탐지 기법)

  • Park, Jae-Kyung
    • Journal of the Korea Society of Computer and Information
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    • v.19 no.7
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    • pp.77-85
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    • 2014
  • Recently, several environment damage caused by malicious or suspicious code is increasing. We study comprehensive response system actively for malware detection. Suspicious code is installed on your PC without your consent, users are unaware of the damage. Also, there are need to technology for realtime processing of Big Data. We must develope advanced technology for malware detection. We must analyze the static, dynamic of executable file for fundamentally malware detection in recently and verified by a reputation for verification. It is need to judgment of similarity for realtime response with big data. In this paper, we proposed realtime detection and verification technology using multiple filter. Our malware study suggests a new direction of realtime malware detection.

Design and Implementation of Local Forest Fire Monitoring and Situational Response Platform Using UAV with Multi-Sensor (무인기 탑재 다중 센서 기반 국지 산불 감시 및 상황 대응 플랫폼 설계 및 구현)

  • Shin, Won-Jae;Lee, Yong-Tae
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.10 no.6
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    • pp.626-632
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    • 2017
  • Since natural disaster occurs increasingly and becomes complicated, it causes deaths, disappearances, and damage to property. As a result, there is a growing interest in the development of ICT-based natural disaster response technology which can minimize economic and social losses. In this letter, we introduce the main functions of the forest fire management platform by using images from an UAV. In addition, we propose a disaster image analysis technology based on the deep learning which is a key element technology for disaster detection. The proposed deep learning based disaster image analysis learns repeatedly generated images from the past, then it is possible to detect the disaster situation of forest-fire similar to a person. The validity of the proposed method is verified through the experimental performance of the proposed disaster image analysis technique.

Effect and Performance Analysis of Multipath Environments on VDES Systems (다중경로 환경이 VDES 시스템에 미치는 영향 및 성능분석)

  • Ryu, Hyung-Jick;Kim, Hye-Jin;Kim, Wong-Yong;Park, Kae-Myoung;Kim, Jun-Tae;Yoo, Jin-Ho
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2019.05a
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    • pp.19-21
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    • 2019
  • In this paper, we introduce VDES system and multipath channel model for maritime wireless digital communication. And we studied the influence of multipath for bit-error ratio performance by computer simulation. Next we propose time-domain adaptive equalizer to treat the influence of multipath, and review the simulation result for necessity of applying the adaptive equalizer.

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