• Title/Summary/Keyword: 성능평가계수

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Development and Verification of Evaluation Technique for High Voltage Capacitance Bridge (고전압 전기용량 브리지 평가 기술 개발 및 검증)

  • Kim, Yoon-Hyoung;Han, Sang-Gil;Jung, Jae-Kap;Han, Sang-Ok
    • Proceedings of the KIEE Conference
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    • 2009.07a
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    • pp.2059_2060
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    • 2009
  • 본 연구에서는 표준 용량기와 표준 저항을 이용하여 전기용량 브리지의 손실계수와 커패시턴스 비를 측정하여 전기용량 브리지를 평가하는 방법을 개발하였다. 이를 적용하면 기존의 해외 인증기관에서 성능평가를 의뢰했을 때 소요되는 교정기간을 단축하고, 교정 비용을 감소시킬 수 있다. 또한 현장에서 사용되고 있는 장비를 해외 인증기관에 교정 의뢰할 경우 그 기간 동안 장비를 사용할 수 없는 문제를 해결할 수 있다. 측정 범위는 손실계수의 경우 $1{\times}10^{-6}{\sim}7.5{\times}10^{-3}$의 범위까지 광범위하게 측정하였고, 커패시턴스 비는 $C_N{\times}0.1{\sim}C_N{\times}10^3$�劉沮� 측정하였다. 이로부터 제조사에서 제공하고 있는 전기용량 브리지의 성능을 확인이 가능하게 되었다.

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Comparison of Correction Coefficients for the Non-uniformity of Pixel Response in Satellite Camera Electronics (위성카메라 전자부의 화소간 응답불균일성 보정계수의 비교검토)

  • Kong, Jong-Pil;Lee, Song-Jae
    • Korean Journal of Remote Sensing
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    • v.27 no.2
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    • pp.89-98
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    • 2011
  • Four kinds of gain and offset correction coefficients that are used to correct the nonuniformity between pixels are discussed. And their correction performance has been compared by performing image correction. using the correction coefficients calculated, on the real image data obtained from a newly fabricated camera electronics system. The performance of the correction coefficients depends in general on the number of the light input levels used to obtain the reference image. The result shows that, as expected obviously, when only two light input levles are used to obtain the reference image, even though its correction coefficients are relatively easily calculated, the correction performance is relatively poor. And with the number of light inputs increased to a value of larger than two, the correction performance is improved. It is noted, however, no Significant performance difference is found between the different correction coefficients employed.

A Study on Development of Performance Evaluation Model for Life-Cycle Management of River Facilities (하천시설 생애주기관리를 위한 배수통문 성능평가모델 개발)

  • Yoon, Kwang Seok;Kim, Sooyoung
    • Proceedings of the Korea Water Resources Association Conference
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    • 2018.05a
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    • pp.420-420
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    • 2018
  • 하천법에서 정의하고 있는 하천시설은 시설은 제방과 수문을 포함하여 20여종에 달한다. 이 중 하천유지 보수 매뉴얼(국토교통부, 2016)에서 정한 유지관리 대상은 총 14종이며, 국가 및 지방하천 정비와 유지관리에 4대강살리기사업 완료 시점인 2012년 이후 연간 약 1.3조원의 예산을 투입하고 있다. 연간 막대한 예산이 투입되어 관리되고 있는 하천관리의 효율성을 제고하기 위해 하천시설에 대한 생애주기관리기법적용 연구가 진행 중이며 이를 위해서는 하천시설의 성능에 대한 정확한 평가가 선행되어야 한다. 본 연구에서는 배수통문에 대한 성능평가모델을 산정하는 방법을 제시하였다. 우선적으로 배수통문의 설치년도와 시설물안전등급을 조사하고 등급별 평균사용연수를 산정하고 시설물 성능예측 기본식의 계수를 산정하여 성능평가모델 산정식을 도출하였다. 배수통문 성능평가모델 산정식과 등급별 평균 사용연수를 비교하여 산정식의 적용성을 검증하였다. 본 연구를 통해 하천시설의 사용연수에 따른 성능을 개략적으로 예측하여 유지관리예산 투입의 우선 순위를 결정하는데 기초자료로 활용이 가능하다고 판단된다.

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Design and Performance Evaluation of Fiber Optic Gyro with Digital Closed-loop Processing (디지털 폐루프 신호처리를 적용한 광섬유 자이로 설계 및 성능평가)

  • 도재철;정경호
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.34 no.9
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    • pp.97-103
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    • 2006
  • This paper described the design and performance evaluation of fiber optic gyro using digital closed-loop processing. For the feedback to null the gyro input rate, digital serrodyne modulation was employed, and for scale factor stabilization, the control circuits of modulation amplitude and optical power are implemented. Performance tests show that prototype fiber optic gyro has bias stability of 0.34 deg/hr, scale factor non-lineality of about 100ppm, and maximum measurement range of ${\pm}500$ deg/sec.

The Effect of Initial Weight, Learning Rate and Regularized Coefficient on Generalization Performance (신경망 학습의 일반화 성능향상을 위한 초기 가중값과 학습률 그리고 계수조정의 효과)

  • Yoon YeoChang
    • Proceedings of the Korea Information Processing Society Conference
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    • 2004.11a
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    • pp.493-496
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    • 2004
  • 본 연구에서는 신경망 학습의 중요한 평가 척도로써 고려될 수 있는 일반화 성능과 학습속도를 개선시키기 위한 방안으로써 초기 가중값과 학습률과 같은 주요 인자들을 이용한 신경망 학습 영향을 살펴본다. 특히 초기 가중값과 학습률을 고정시킨 후 새롭게 조정된 계수들을 점차적으로 변화시키는 새로운 인자 결합방법을 이용하여 신경망 학습량과 학습속도를 비교해 보고 계수조정을 통한 개선된 학습 영향을 살펴본다. 그리고 단순한 예제를 이용한 실증분석을 통하여 신경망 모형의 일반화 성능과 학습 속도 개선을 위한 각 인자들의 개별 효과와 결합 효과를 살펴보고 그 개선 방안을 제시한다.

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Named Entity Recognition for Patent Documents Based on Conditional Random Fields (조건부 랜덤 필드를 이용한 특허 문서의 개체명 인식)

  • Lee, Tae Seok;Shin, Su Mi;Kang, Seung Shik
    • KIPS Transactions on Software and Data Engineering
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    • v.5 no.9
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    • pp.419-424
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    • 2016
  • Named entity recognition is required to improve the retrieval accuracy of patent documents or similar patents in the claims and patent descriptions. In this paper, we proposed an automatic named entity recognition for patents by using a conditional random field that is one of the best methods in machine learning research. Named entity recognition system has been constructed from the training set of tagged corpus with 660,000 words and 70,000 words are used as a test set for evaluation. The experiment shows that the accuracy is 93.6% and the Kappa coefficient is 0.67 between manual tagging and automatic tagging system. This figure is better than the Kappa coefficient 0.6 for manually tagged results and it shows that automatic named entity tagging system can be used as a practical tagging for patent documents in replacement of a manual tagging.

Applying Different Similarity Measures based on Jaccard Index in Collaborative Filtering

  • Lee, Soojung
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.5
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    • pp.47-53
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    • 2021
  • Sparse ratings data hinder reliable similarity computation between users, which degrades the performance of memory-based collaborative filtering techniques for recommender systems. Many works in the literature have been developed for solving this data sparsity problem, where the most simple and representative ones are the methods of utilizing Jaccard index. This index reflects the number of commonly rated items between two users and is mostly integrated into traditional similarity measures to compute similarity more accurately between the users. However, such integration is very straightforward with no consideration of the degree of data sparsity. This study suggests a novel idea of applying different similarity measures depending on the numeric value of Jaccard index between two users. Performance experiments are conducted to obtain optimal values of the parameters used by the proposed method and evaluate it in comparison with other relevant methods. As a result, the proposed demonstrates the best and comparable performance in prediction and recommendation accuracies.

Design Evaluation of the Post-installed Anchor considering Effective Embedded Depth and Concrete Strength (유효 묻힘 깊이와 콘크리트 강도를 고려한 후설치 앵커의 설계식 평가)

  • Hur, Moo-Won;Chae, Kyoung-Hun;Won, Jae-Sik;Park, Tae-Won
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.25 no.3
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    • pp.13-20
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    • 2021
  • Post-installed anchor is a structural material that connects structural and non-structural members to existing concrete members. However, there are cases where rebar interception and construction error occur at the site. In that case, measures are needed to prevent performance degradation of the rear-installation anchors. In this study, in order to evaluate the performance of torsional control expandable post-installed anchors for compressive strength and effective depth of the reference concrete was tested. The results of the most commonly used tests of M10 and M20 showed that had variable coefficients within 15%, satisfying the reliability presented in KCI(2017). It was also confirmed that the depth of the buried and the strength of concrete affect the strength of the pavement. Based on the results of the existing similar studies and the results of this study, the design equation of the post-installed anchor was proposed and the results were compared with the existing design.

Jaccard Index Reflecting Time-Context for User-based Collaborative Filtering

  • Soojung Lee
    • Journal of the Korea Society of Computer and Information
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    • v.28 no.10
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    • pp.163-170
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    • 2023
  • The user-based collaborative filtering technique, one of the implementation methods of the recommendation system, recommends the preferred items of neighboring users based on the calculations of neighboring users with similar rating histories. However, it fundamentally has a data scarcity problem in which the quality of recommendations is significantly reduced when there is little common rating history. To solve this problem, many existing studies have proposed various methods of combining Jaccard index with a similarity measure. In this study, we introduce a time-aware concept to Jaccard index and propose a method of weighting common items with different weights depending on the rating time. As a result of conducting experiments using various performance metrics and time intervals, it is confirmed that the proposed method showed the best performance compared to the original Jaccard index at most metrics, and that the optimal time interval differs depending on the type of performance metric.