• 제목/요약/키워드: candidate model

검색결과 985건 처리시간 0.024초

DEA 모형을 활용한 광주 광산업체 효율성 평가에 관한 연구 (A Study on Evaluating the Efficiency of the Photonics Industry in Gwangju Using a DEA Model)

  • 조건;정경호
    • 품질경영학회지
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    • 제39권2호
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    • pp.244-255
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    • 2011
  • In this study, we try to evaluate the efficiency of the photonics industry using a data envelopment analysis(DEA) model. We first develope four stage procedures for selecting proper input and output variables which consist of selecting the first candidate variables from literature survey, selecting the second candidate variables through experts' discussion, measuring the partial efficiency of the selected variables based on Tofallis' profiling, and clustering some variables through the rank correlation analysis of partial efficiency proposed by Min and Kim(l998). With this procedure, we select 4 input variables(capital, number of employee, R&D cost, operating cost) and 2 output variables(sales, growth of sales) and then utilize CCR and BCC model to measure efficiencies of 26 photonics companies in Gwangju. Moreover, we perform the reference group analysis to figure out what causes inefficiencies and to provide the desirable values for input and output variables at which inefficient photonics companies become efficient. Finally, we classify 26 photonics companies into three groups such as optical communications, optical applications, and optical sources, and perform the Kruskal-Wallis test to check if there exist some differences between efficiencies of three groups.

Structural model updating of the Gageocho Ocean Research Station using mass reallocation method

  • Kim, Byungmo;Yi, Jin-Hak
    • Smart Structures and Systems
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    • 제26권3호
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    • pp.291-309
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    • 2020
  • To study oceanic and meteorological problems related to climate change, Korea has been operating several ocean research stations (ORSs). In 2011, the Gageocho ORS was attacked by Typhoon Muifa, and its structural members and several observation devices were severely damaged. After this event, the Gageocho ORS was rehabilitated with 5 m height to account for 100-yr extreme wave height, and the vibration measurement system was equipped to monitor the structural vibrational characteristics including natural frequencies and modal damping ratios. In this study, a mass reallocation method is presented for structural model updating of the Gageocho ORS based on the experimentally identified natural frequencies. A preliminary finite element (FE) model was constructed based on design drawings, and several of the candidate baseline FE models were manually built, taking into account the different structural conditions such as corroded thickness. Among these candidate baseline FE models, the most reasonable baseline FE model was selected by comparing the differences between the identified and calculated natural frequencies; the most suitable baseline FE model was updated based on the identified modal properties, and by using the pattern search method, which is one of direct search optimization methods. The mass reallocation method is newly proposed as a means to determine the equivalent mass quantities along the height and in a floor. It was found that the natural frequencies calculated based on the updated FE model was very close to the identified natural frequencies. In conclusion, it is expected that these results, which were obtained by updating a baseline FE model, can be useful for establishing the reference database for jacket-type offshore structures, and assessing the structural integrity of the Gageocho ORS.

신뢰도 평가에서 제한된 데이터를 이용한 와이블분포 모형화 기법 (A Weibull Model Building Technique for Reliability Assessment with Limited failure Data)

  • 김광원
    • 대한전기학회논문지:전력기술부문A
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    • 제55권3호
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    • pp.109-115
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    • 2006
  • The Weibull distribution is a good candidate for accurate probabilistic model with its rich shape-forming ability and relatively simple CDF(cumulative distribution function). If there are sufficient information to get convincible mean and variance for a probabilistic event, reliable parameters of the Weibull distribution can be determined uniquely. However, sufficient information is not given as usual. There needs more deliberate model building method for that case. This Paper presents an effective parameter estimation technique for Weibull distribution with limited failure data.

Small Target Detecting and Tracking Using Mean Shifter Guided Kalman Filter

  • Ye, Soo-Young;Joo, Jae-Heum;Nam, Ki-Gon
    • Transactions on Electrical and Electronic Materials
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    • 제14권4호
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    • pp.187-192
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    • 2013
  • Because of the importance of small target detection in infrared images, many studies have been carried out in this area. Using a Kalman filter and mean shift algorithm, this study proposes an algorithm to track multiple small moving targets even in cases of target disappearance and appearance in serial infrared images in an environment with many noises. Difference images, which highlight the background images estimated with a background estimation filter from the original images, have a relatively very bright value, which becomes a candidate target area. Multiple target tracking consists of a Kalman filter section (target position prediction) and candidate target classification section (target selection). The system removes error detection from the detection results of candidate targets in still images and associates targets in serial images. The final target detection locations were revised with the mean shift algorithm to have comparatively low tracking location errors and allow for continuous tracking with standard model updating. In the experiment with actual marine infrared serial images, the proposed system was compared with the Kalman filter method and mean shift algorithm. As a result, the proposed system recorded the lowest tracking location errors and ensured stable tracking with no tracking location diffusion.

히스토그램 분포 모델링 기반 TFT-LCD 결함 검출 (TFT-LCD Defect Detection based on Histogram Distribution Modeling)

  • 구은혜;박길흠;이종학;류강수;김정준
    • 한국멀티미디어학회논문지
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    • 제18권12호
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    • pp.1519-1527
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    • 2015
  • TFT-LCD automatic defect inspection system for detecting defects in place of the visual tester does pre-processing, candidate defect pixel detection, and recognition and classification through a blob analysis. An over-detection result of defects acts as an undue burden of blob analysis for recognition and classification. In this paper, we propose defect detection method based on the histogram distribution modeling of TFT-LCD image to minimize over-detection of candidate defective pixels. Primary defect candidate pixels are detected estimating the skewness of the luminance distribution histogram of the background pixels. Based on the detected defect pixels, the defective pixels other than noise pixels are detected using the distribution histogram model of the local area. Experimental results confirm that the proposed method shows an excellent defect detection result on the image containing the various types of defects and the reduction of the degree of over-detection as well.

CoMP Transmission for Safeguarding Dense Heterogeneous Networks with Imperfect CSI

  • XU, Yunjia;HUANG, Kaizhi;HU, Xin;ZOU, Yi;CHEN, Yajun;JIANG, Wenyu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권1호
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    • pp.110-132
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    • 2019
  • To ensure reliable and secure communication in heterogeneous cellular network (HCN) with imperfect channel state information (CSI), we proposed a coordinated multipoint (CoMP) transmission scheme based on dual-threshold optimization, in which only base stations (BSs) with good channel conditions are selected for transmission. First, we present a candidate BSs formation policy to increase access efficiency, which provides a candidate region of serving BSs. Then, we design a CoMP networking strategy to select serving BSs from the set of candidate BSs, which degrades the influence of channel estimation errors and guarantees qualities of communication links. Finally, we analyze the performance of the proposed scheme, and present a dual-threshold optimization model to further support the performance. Numerical results are presented to verify our theoretical analysis, which draw a conclusion that the CoMP transmission scheme can ensure reliable and secure communication in dense HCNs with imperfect CSI.

인게이지먼트 관점에서 선거전략의 후보자 몰입에 관한 정치 인게이지먼트 모델(PEI)연구 - 제 18대 대통령 선거에서 대학생들이 후보자를 선택한 기준을 중심으로 (A Research on Political Engagement Index(PEI) Model about Election Strategy's Immersion in Candidate in Perspective of Engagement -Focusing on university students standard of selecting candidate in election for 18th president)

  • 김만기;김규현
    • 디지털융복합연구
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    • 제11권8호
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    • pp.1-10
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    • 2013
  • 정치캠페인에서 유권자들의 표심(share of mind)을 읽는 중요성이 증가함에도 불구하고 인게이지먼트(engagement)를 정치캠페인 관점에서 분석한 연구가 없다. 따라서 본 연구의 목적은 인게이지먼트적 관점에서 정치캠페인의 후보자 몰입(immersion)에 대한 질적지표인 정치인게이지먼트 지수(Political Engagement Index : PEI)산출을 통해 정치광고홍보 전략을 위한 과학적 자료를 제공하고자 한다. 이를 위해 2012년 12월 19일 제 18대 대통령선거에 출마했던 A, B 두 후보자를 대상으로 삼았다. 설문지 응답 대상은 이번 대선에서 이외로 투표 참여율 낮은 젊은 층에게 설문하였다. 본 연구는 광고, 홍보, 정치여론과 시청률 등의 정량적 평가를 뛰어 넘어 질적 내용분석이 갖는 제한점을 보완하고자 하는 정성적 평가이다. 평가속성은 8개 유목에 PEI는 0~100점 사이에 분포하도록 설계하여 PEI 가 50 이상이면 보통 이상의 몰입, 50 이하면 보통 이하의 몰입도 의미하도록 했다. 본 연구의 모형은 정치캠페인전략의 방법론적 연구발전에 기여하게 될 것이다. 또한 향후 각 정치캠페인의 선거전략에서 이를 마이크로 타깃팅으로 활용할 수 있을 것이다.

지면 투과 레이더(GPR) 기반의 지뢰 탐지 시스템을 위한 표적 후보 검출 기법 (A Preprocessing Method for Ground-Penetrating-Radar based Land-mine Detection System)

  • 공혜정;김성대;김민주;한승훈
    • 전자공학회논문지
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    • 제50권4호
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    • pp.171-181
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    • 2013
  • 최근 금속을 포함하여 다양한 재질의 지뢰를 탐지할 수 있는 지면 투과 레이더 (Ground Penetrating Radar, GPR)가 지뢰 탐지 분야에서 주목 받고 있으며 지면 투과 레이더를 이용한 지뢰 탐지 기술이 활발하게 연구되고 있다. 본 논문에서는 1차원 지면 투과 레이더 배열을 이용하여 지뢰가 존재할 가능성이 높은 후보 지점을 검출하는 방법을 제안하였다. 제안 기법은 먼저 지면 투과 레이더에 수신되는 신호 세기의 비선형적 감쇠 특성을 반영하여, 지연 시간에 따른 지면 투과 레이더 응답 신호의 세기를 효과적으로 나타낼 수 있는 회귀 모델을 추정하였다. 이를 토대로 지면 투과 레이더 응답 신호를 분석해보면, 토양 신호들은 주로 회귀 모델의 근처에 밀집되어 있고, 지뢰일 가능성이 있는 후보 신호들은 회귀 모델로부터 멀리 떨어져서 분포하는 특성을 보인다. 이러한 사실을 기반으로, 지면 투과 레이더의 측정값과 회귀 모델의 예측 값에 대한 예측 오차를 계산하여 토양 신호로부터 지뢰일 가능성이 있는 후보 신호들을 분리하였다. 후보 신호에는 잡음과 표적 신호가 섞여 있으므로 표적 신호가 갖는 고유한 기하학적 특성을 이용하여 최종적으로 표적 신호를 검출하였다. 성능 검증을 위해 실내 환경에서 획득한 지면 투과 레이더 데이터를 이용하여 실험을 수행한 결과, 제안하는 전처리 기법의 지뢰 탐지율 대비 오경보율이 낮은 것을 확인할 수 있었다.

트리거와 점진적 갱신기법을 이용한 연관규칙 탐사의 능동적 후보항목 관리 모델 (An Active Candidate Set Management Model on Association Rule Discovery using Database Trigger and Incremental Update Technique)

  • 황정희;신예호;류근호
    • 한국정보과학회논문지:데이타베이스
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    • 제29권1호
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    • pp.1-14
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    • 2002
  • 연관규칙 탐사는 지지도와 신뢰도를 바탕으로 연관성 있는 강한 항목들을 탐사한다. 탐사된 연관규칙은 장바구니 분석 등과 같이 전자 상거래 및 대형 소매점 등의 판매 패턴에 대한 분석에 유용하게 적용될 수 있다. 이와 같은 연관규칙 탐사는 대규모로 축적되어 트랜잭션 데이터를 대상으로 하는 기법으로서 대규모 데이터에 대한 반복적 스캔연산을 수반한다. 그러므로 매우 높은 연산 부하를 안고 있으며 이로 인해 동적 환경에서 실시간 제한사항을 탐사에 대한 시도를 하지 못하고 있다. 따라서 이 논문에서는 연관규칙 탐사의 비 실시간적 제한사항을 위하여 트리거와 점진적 갱신 기법을 이용한 능동적 후보항목 관리 모델을 제안하였다. 아울러 제안 모델을 구현하기 위해 점진적 갱신 기법을 이용한 능동적 후보항목 관리 모델을 제한하였다. 아울러 제안 모델을 구현하기 위해 점진적 갱신 연산의 구현 모델을 제시하고 이의 구현 및 실험을 통해 성능 특성을 분석하였다.

Administration of red ginseng regulates microRNA expression in a mouse model of endometriosis

  • Lee, Jae Hoon;Park, Ji Hyun;Won, Bo Hee;Im, Wooseok;Cho, SiHyun
    • Clinical and Experimental Reproductive Medicine
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    • 제48권4호
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    • pp.337-346
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    • 2021
  • Objective: Red ginseng (RG) exerts anti-inflammatory, anti-proliferative, and immunomodulatory effects on endometriosis through the regulation of microRNA (miRNA) expression. It may also ameliorate endometriosis by affecting the expression of multiple miRNAs simultaneously, rather than acting on a single miRNA at a given time. Since studies on the overall effects of RG on endometriosis via the regulation of miRNA expression are lacking, the current study aimed to explore the global effect of RG on miRNA expression in a mouse model of endometriosis. Methods: To establish the mouse model, the uterine horn of donor mice was implanted into the lateral side of the recipients' peritoneum, followed by vehicle or RG treatment for 8 weeks. Results: To confirm the effects of RG on the established mouse model, the size of the implanted uterus was measured; it was found to be lower in mice from the RG group than in mice from the control group. miRNA expression profiles in the implanted uterus of the mouse model of endometriosis after vehicle or RG administration were analyzed using microarray technology. Thereafter, seven candidate miRNAs and 125 candidate genes (miRNA targets) were identified through a bioinformatics analysis. Conclusion: The present findings suggest that RG regulates the expression of multiple miRNAs and mRNAs, thereby alleviating endometriosis in a mouse model of the disease.