• 제목/요약/키워드: Weighting analysis

검색결과 663건 처리시간 0.024초

터널 붕괴 위험도 분석을 위한 영향인자 가중치 산정에 관한 연구 (A study on the weighting of influence factors for tunnel collapse risk analysis)

  • 김정흠
    • 한국터널지하공간학회 논문집
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    • 제26권4호
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    • pp.315-326
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    • 2024
  • 본 연구에서는 터널 붕괴 위험도를 종합적이고 다각적인 관점에서 평가하기 위해 델파이 기법과 AHP (analytic hierarchy process) 기법을 사용하였다. 영향인자 정립은 문헌조사, 선행 연구 및 전문가 집단의 브레인스토밍 과정을 통해 총 5개의 상위분류체계를 구축하였다. 21명의 전문가 패널을 구성하여 총 3차의 델파이 조사 과정을 통해 전문가 판단과정에서 오류 및 편향을 방지하여 신뢰성을 향상시켰다. 최종적으로 전문가 답변에 대한 CVR (content validity ration) 및 COV (coefficient of variation) 분석을 수행하여 총 14개의 영향인자를 도출하였다. 이후 AHP 기법을 적용하여 각 영향인자의 상대적 중요도를 평가하고 최종 복합 가중치를 산정하였다. 지보 및 보강 시행시기가 가장 높은 우선순위를 가지며, 지하수 유입량, 절리면 상태, 지보패턴수준, 보조공법이 그 뒤를 이었다. 이러한 연구 결과를 통해 터널붕괴 위험에 영향을 미치는 주요 요인들을 파악하고, 이를 토대로 터널 안전성을 향상시키는 전략을 수립하는데 도움이 될 것으로 기대된다.

A novel classification approach based on Naïve Bayes for Twitter sentiment analysis

  • Song, Junseok;Kim, Kyung Tae;Lee, Byungjun;Kim, Sangyoung;Youn, Hee Yong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권6호
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    • pp.2996-3011
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    • 2017
  • With rapid growth of web technology and dissemination of smart devices, social networking service(SNS) is widely used. As a result, huge amount of data are generated from SNS such as Twitter, and sentiment analysis of SNS data is very important for various applications and services. In the existing sentiment analysis based on the $Na{\ddot{i}}ve$ Bayes algorithm, a same number of attributes is usually employed to estimate the weight of each class. Moreover, uncountable and meaningless attributes are included. This results in decreased accuracy of sentiment analysis. In this paper two methods are proposed to resolve these issues, which reflect the difference of the number of positive words and negative words in calculating the weights, and eliminate insignificant words in the feature selection step using Multinomial $Na{\ddot{i}}ve$ Bayes(MNB) algorithm. Performance comparison demonstrates that the proposed scheme significantly increases the accuracy compared to the existing Multivariate Bernoulli $Na{\ddot{i}}ve$ Bayes(BNB) algorithm and MNB scheme.

국민건강영양조사 자료의 복합표본설계효과와 통계적 추론 (Complex sample design effects and inference for Korea National Health and Nutrition Examination Survey data)

  • 정진은
    • Journal of Nutrition and Health
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    • 제45권6호
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    • pp.600-612
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    • 2012
  • Nutritional researchers world-wide are using large-scale sample survey methods to study nutritional health epidemiology and services utilization in general, non-clinical populations. This article provides a review of important statistical methods and software that apply to descriptive and multivariate analysis of data collected in sample surveys, such as national health and nutrition examination survey. A comparative data analysis of the Korea National Health and Nutrition Examination Survey (KNHANES) was used to illustrate analytical procedures and design effects for survey estimates of population statistics, model parameters, and test statistics. This article focused on the following points, method of approach to analyze of the sample survey data, right software tools available to perform these analyses, and correct survey analysis methods important to interpretation of survey data. It addresses the question of approaches to analysis of complex sample survey data. The latest developments in software tools for analysis of complex sample survey data are covered, and empirical examples are presented that illustrate the impact of survey sample design effects on the parameter estimates, test statistics, and significance probabilities (p values) for univariate and multivariate analyses.

토픽 모형 및 사회연결망 분석을 이용한 한국데이터정보과학회지 영문초록 분석 (Analysis of English abstracts in Journal of the Korean Data & Information Science Society using topic models and social network analysis)

  • 김규하;박철용
    • Journal of the Korean Data and Information Science Society
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    • 제26권1호
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    • pp.151-159
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    • 2015
  • 이 논문에서는 텍스트마이닝 (text mining) 기법을 이용하여 한국데이터정보과학회지에 게재된 논문의 영어초록을 분석하였다. 먼저 다양한 방법을 통해 단어-문서 행렬 (term-document matrix)을 생성하고 이를 사회연결망 분석 (social network analysis)을 통해 시각화하였다. 또한 토픽을 추출하기 위한 방법으로 LDA (latent Dirichlet allocation)와 CTM (correlated topic model)을 사용하였다. 토픽의 수, 단어-문서 행렬의 생성방법에 따라 엔트로피 (entropy)를 통해 토픽 추출 모형들의 성능을 비교하였다.

차량 D 단 소음의 음질 인덱스 및 등급화 구축 (Construction of the Sound Quality Index and Grade at Automotive Level D Noise)

  • 윤태건;박상길;심현진;이정윤;오재응
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2005년도 추계 학술대회논문집(수송기계편)
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    • pp.186-189
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    • 2005
  • Since human listening is very sensitive to sound, a subjective index of a sound quality is required. Therefore, in the analysis for each situation, the sound evaluation is composed with sound quality factor. Many researchers spends their effort to make a more reliable and more accurate of sound in term of sound quality index for various system noise. In this study a reliable index is constructed and analyzed using correlation analysis, regression analysis and weighting factor for each sound quality factor. We have made the sound quality index that agrees with more than human subjective sensitivity which apply to various sound quality metrics. Also we applied a 'grade' metric to jury for sound evaluation, analyzed relation between sound duality index and sound quality grade. Then we will judge the sound quality level according to the sound quality grade scheme.

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원격탐사와 지구정보시스템을 이용한 충주지역의 사면안정분석 (Analysis of Slope Stability by Using Remote Sensing and GIS Around Chungju Area)

  • 신현준;이영훈;민경덕;원중선;김윤종
    • 자원환경지질
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    • 제29권5호
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    • pp.615-622
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    • 1996
  • Slope stability analysis was conducted using remote sensing and Geoscientific Information System (GIS) as a part of natural hazard assessment around Chungju area. Landsat TM band 5 and 7 which contain more information about geological structure and geography are chosen and processed to analyse regional geological structure. Through image processing technique such as PCA, HFF, edge detection and enhancement, regional lineament can be mapped and identified. The lineament density map is constructed based on summed length of lineaments per unit area and the study area can be divided into 7 structural domains. Various factors of slope stability analysis such as geology, slope aspect, degree of slope, landcover, water shed as well as characterized structural domain are constructed as a database of GIS. Rating and weighting of each factor for slope stability analysis is decided by considering environmental geological characteristics of study area. Spatial analysis of regional slope stability is examined through overlaying technique of the GIS. The result of areal distribution of slope stability shows that the most unstable area is all over Jaeogae-ni, Hyangsan-ni and Mt. Daedun.

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유한요소해석을 이용한 차량용 시트 백 프레임의 최적설계 (Optimal Design of Automotive Seat Back Frame Using Finite Element Analysis)

  • 신현호;강희용;양성모
    • 자동차안전학회지
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    • 제11권4호
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    • pp.57-62
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    • 2019
  • The seat back frame of the vehicle is subjected to load on the passenger behavior. Because of steel material, it is necessary to optimize the frame considering lightweight and safety. In this paper, finite element analysis is used for the optimal design of the seat back frame. First, a lightweight material is applied to reduce the weight of the seat back frame. Secondly, the design position of the pipe part fastened in the seat back frame was selected by considering the strength against the load generated by the occupant. Third, the shape of the side frame was derived by performing the phase optimization analysis for the AFT load condition. And we have compared the initial model with the optimal model to verify the light weighting and safety. As a result, the optimal design model of the seat back frame satisfying the weight reduction and safety has been proposed.

소아환자에서 교정분석을 위한 콘빔CT 촬영시 유효선량에 관한 연구 (Effective dose of cone-beam computed tomography for orthodontic analysis in pediatric patient)

  • 김은경
    • 대한치과의사협회지
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    • 제53권8호
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    • pp.558-568
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    • 2015
  • Objective: The objectives of this study were to measure pediatric organ and effective doses of cone-beam computed tomography (CBCT) for orthodontic analysis and to compare them to those of panoramic and lateral cephalometric radiography, the conventional radiography for orthodontic analysis. Materials and Methods: Alphard VEGA for CBCT, Planmeca Proline XC for panoramic radiography and Orthophos CD for cephalometric radiography were used for this study. Thermoluminescent dosimeter (TLD) chips were located at 24 anatomic sites of 10-year-old anthropomorphic phantom and exposed during CBCT (C-mode; $200{\times}179mm$ FOV), panoramic and lateral cephalometric radiographic procedures at the clinical exposure settings for 10-year-old patient. Pediatric organ and effective doses were measured and calculated using ICRP 2007 tissue weighting factors. Results: Effective doses of CBCT, panoramic radiography and lateral cephlometric radiography in pediatric clinical exposure settings were $292.5{\mu}Sv$, $19.3{\mu}Sv$, and $4.4{\mu}Sv$ respectively. The thyroid gland contributed most significantly to the effective dose in all the radiographic procedures. Conclusion: Effective dose of CBCT was about 12 times to conventional radiographic procedures for orthodontic analysis in pediatric patient. The use of CBCT for orthodontic analysis should be fully justified over conventional radiography and dose optimization to decrease thyroid dose is needed in pediatric patients.

Fault Detection of a Proposed Three-Level Inverter Based on a Weighted Kernel Principal Component Analysis

  • Lin, Mao;Li, Ying-Hui;Qu, Liang;Wu, Chen;Yuan, Guo-Qiang
    • Journal of Power Electronics
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    • 제16권1호
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    • pp.182-189
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    • 2016
  • Fault detection is the research focus and priority in this study to ensure the high reliability of a proposed three-level inverter. Kernel principal component analysis (KPCA) has been widely used for feature extraction because of its simplicity. However, highlighting useful information that may be hidden under retained KPCs remains a problem. A weighted KPCA is proposed to overcome this shortcoming. Variable contribution plots are constructed to evaluate the importance of each KPC on the basis of sensitivity analysis theory. Then, different weighting values of KPCs are set to highlight the useful information. The weighted statistics are evaluated comprehensively by using the improved feature eigenvectors. The effectiveness of the proposed method is validated. The diagnosis results of the inverter indicate that the proposed method is superior to conventional KPCA.

Global Busan City Brand Image Development Strategy - SWOT/AHP analysis -

  • LEE, Changhwan;RA, Heeryang;OH, Youngsam;LEE, Chunsu
    • 동아시아경상학회지
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    • 제9권3호
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    • pp.115-124
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    • 2021
  • Purpose - An empirical analysis of various opinions of experts to build Busan's global city image. Based on this, we provide strategy establishment metrics using opportunities, strengths, and threats to build Busan's global city image. Research design, data and methodology - SWOT-AHP analysis are used in terms of methodology, and this study is based on experts' reviews and answers. In addition, AHP analysis is performed based on SWOT analysis to derive the result values for important priority factors. Result - As a result of the prioritization of SWOT-AHP results, a matrix of strategic development directions for Busan city brand building can be presented. As a result of the composite weighting, the factors related to opportunity were ranked as important. In addition, matrices on SO strategy, ST strategy, WO strategy, and WT strategy were derived. Conclusion - This study is an interdisciplinary study from the economic aspect, international management and international marketing aspect, administrative aspect, and architectural engineering aspect. Through this, the image of a global city of Busan that can overcome COVID-19 and cope with the 4th industry in the future will be built, and Busan will be able to build a global international city image by commercially attracting the 2030 World Expo.