• Title/Summary/Keyword: 신뢰도 가중

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Development of Measurement and Evaluation Technique for Software Quality in Maintenance Phase (유지보수단계에서의 소프트웨어 품질측정과 평가기법 개발)

  • Jang, Young-Sook;Kwon, Young-Sik
    • 한국IT서비스학회:학술대회논문집
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    • 2003.05a
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    • pp.523-530
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    • 2003
  • 소프트웨어에 대한 인식과 중요성이 대두되고 있으나 아직 소프트웨어 품질에 대한 우리의 관심은 부족한 실정이며, 저질 소프트웨어로 인한 유지보수 업무의 부담과 비용을 가중시키는 것이 현실이다. 따라서 국제표준화 규격인 IS0/1EC 9126에서 제시하고 있는 소프트웨어 품질특성 기능성, 신뢰성, 사용성, 효율성, 보수성 및 이식성을 중심으로 유지보수단계에서의 소프트웨어 품질을 어떻게 측정하고 평가하는 방안과 기법을 제시하고자 한다.

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Visual Object Tracking Using Multiple Object Models (다수 객체 모델을 이용한 객체 추적 기법)

  • Kim, Han-Ul;Kim, Chang-Su
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2015.11a
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    • pp.104-105
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    • 2015
  • 본 논문에서는 다수 객체 모델을 통해 잘못된 객체 모델 갱신의 영향을 줄이고 객체 추적의 정확도를 향상시키기 위한 방법을 제안한다. 객체 모델 집합은 다수의 객체 모델과 대응하는 가중치들로 정의된다. 각 델과의 유사도 가중 합을 고려 하여 객체 위치를 추정하고, 각 모델의 추정 신뢰도를 계산하여 가중치를 갱신한다. 실험 결과를 통해 제안하는 기법이 오클루젼, 밝기 변화로 인하여 객체 외형이 왜곡되었을 때 추적 성능을 크게 개선함을 보이고 기존 기법들보다 더 정확한 추적 결과를 제공함을 확인한다.

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A Study on Power System State Estimation Using PSO (PSO를 이용한 전력계통의 상태추정에 관한 연구)

  • Park, Sung-Jin;Jeong, Hee-Myung;Park, June-Ho;Lee, Hwa-Seok
    • Proceedings of the KIEE Conference
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    • 2007.11b
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    • pp.196-198
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    • 2007
  • 전력계통에서 상태추정은 신뢰도 높은 제어를 위해 매우 중요한 역할을 한다. 최근에는 상태추정 문제를 위해 가중최소자승법과 fast decoupled 방법이 많이 쓰이고 있다. 그러나 이런 알고리즘들은 지역해로 수렴하기 쉬운 단점이 있다. 이런 문제점을 극복하기 위해 PSO와 같은 heuristic한 방법을 이용한다. 본 논문에서는 전력계통에서 상태추정의 최적해를 구하기 위한 방법으로 PSO 알고리즘을 제안한다. 제안한 PSO알고리즘의 유용함을 증명하기 위해 IEEE-118모선 시스템에 적용해 보고, 그 결과로부터 전력계통의 상태 추정에 PSO 알고리즘의 적용가능성을 증명하였다.

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Parameter Estimation and Confidence Limits for the Log-Gumbel Distribution (대수(對數)-Gumbel 확률분포함수(確率分布函數)의 매개변수(媒介變數) 추정(推定)과 신뢰한계(信賴限界) 유도(誘導))

  • Heo, Jun Haeng
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.13 no.4
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    • pp.151-161
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    • 1993
  • The log-Gumbel distribution in real space is defined by transforming the conventional log-Gumbel distribution in log space. For this model, the parameter estimation techniques are applied based on the methods of moments, maximum likelihood and probability weighted moments. The asymptotic variances of estimator of the quantiles for each estimation method are derived to find the confidence limits for a given return period. Finally, the log-Gumbel model is applied to actual flood data to estimate the parameters, quantiles and confidence limits.

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Parameter Estimation and Confidence Limits for the WeibulI Distribution (Weibull 확률분포함수(確率分布函數)의 매개변수(媒介變數) 추정(推定)과 신뢰한계(信賴限界) 유도(誘導))

  • Heo, Jun Haeng
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.13 no.4
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    • pp.141-150
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    • 1993
  • For the three parameter Weibull distribution, the parameter estimation techniques are applied and the asymptotic variances of the quantile to obtain the confidence limits for a given return period are derived. Three estimation techniques are used for these purposes: the methods of moments, maximum likelihood and probability weighted moments. The three parameter Weibull distribution as a flood frequency model is applied to actual flood data.

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Noise Reduction Algorithm of Salt-and-Pepper Using Reliability-based Weighted Mean Filter (복원화소의 신뢰도 기반 가중 평균 필터를 활용한 Salt-and-Pepper 잡음 제거 알고리즘)

  • Kim, Donghyung
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.17 no.2
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    • pp.1-11
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    • 2021
  • Salt and pepper is a type of impulse noise. It may appear due to an error in the image transmission process and image storage memory. This noise changes the pixel value at any position in the image to 0 (in case of pepper noise) or 255 (in case of salt noise). In this paper, we present an algorithm for SAP noise reduction. The proposed method consists of three steps. In the first step, the location of the SAP noise is detected, and in the second step, the pixel value of the detected location is restored using a weighted average of the surrounding pixel values. In the last step, a reliability matrix around the reconstructed pixels is constructed, and additional correction is performed with a weighted average using this. As a result of the experiment, the proposed method appears to have similar or higher objective and subjective image quality than previous methods for almost all SAP noise ratios.

Forward Vehicle Tracking Based on Weighted Multiple Instance Learning Equipped with Particle Filter (파티클 필터를 장착한 가중된 다중 인스턴스학습을 이용한 전방차량 추적)

  • Park, Keunho;Lee, Joonwhoan
    • Journal of the Korean Institute of Intelligent Systems
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    • v.25 no.4
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    • pp.377-385
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    • 2015
  • This paper proposes a novel forward vehicle tracking algorithm based on the WMIL(Weighted Multiple Instance Learning) equipped with a particle filter. In the proposed algorithm Haar-like features are used to train a vehicle object detector to be tracked and the location of the object are obtained from the recognition result. In order to combine both the WMIL to construct the vehicle detector and the particle filter, the proposed algorithm updates the object location by executing the propagation, observation, estimation, and selection processes involved in particle filter instead of finding the credence map in the search area for every frame. The proposed algorithm inevitably increases the computation time because of the particle filter, but the tracking accuracy was highly improved compared to Ababoost, MIL(Multiple Instance Learning) and MIL-based ones so that the position error was 4.5 pixels in average for the videos of national high-way, express high-way, tunnel and urban paved road scene.

Effect of Improved Runoff Module in SWAT on Water Quality Simulation (SWAT 모형의 유출해석모듈 개선이 수질모의에 미치는 영향)

  • Kim, Nam-Won;Shin, Ah-Hyun;Lee, Jeong-Woo
    • Journal of Korea Water Resources Association
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    • v.42 no.4
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    • pp.297-307
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    • 2009
  • For reliable water quality simulation by semi distributed model, accurate daily runoff simulation should have preceded. In this study, newly developed channel routing method which is nonlinear storage method is combination of Muskingum routing method and variable storage routing method and temporally weighted average curve number method were applied for effect analysis of water quality simulation. Developed modules, which are added in SWAT models and simulation, were conducted for the Chungju dam watershed. The simulation result by each module applied effect. As a result of analysis contribute water quality modeling, nonlinear storage method is more effective than temporally weighted average curve number method. Nutrient loading discharge was affected by development of runoff delaying from improvement of channel routing, because of characteristics of nonpoint source pollution.

A Study on Counterfeit Electronic Parts Identification and Verification Methods to Improve the Reliability of Weapons Systems in Mass Production Phase (양산단계 무기체계 신뢰성 향상을 위한 위조 전자부품 식별 및 검증 방안에 대한 연구)

  • Kim, Byung-Jun
    • The Journal of the Korea institute of electronic communication sciences
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    • v.15 no.4
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    • pp.617-624
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    • 2020
  • Due to the rapid development of science technology and the main characteristics of the defense industry, such as long development period, design complexity, high possibility of discontinuing parts due to long life cycle, and small quantity production, it can cause increasing of the inflow possibility of counterfeit electronic parts and deteriorating the reliability of weapons systems. This paper presents the specific criteria for the identification of electronic parts to be verified for mass produced weapons systems after the development is completed, and the identification and verification methods for the inflow of counterfeit electronic components.

A Design of Hop-by-Hop based Reliable Congestion Control Protocol for WSNs (무선 센서 네트워크를 위한 Hop-by-Hop 기반의 신뢰성 있는 혼잡제어 기법 설계)

  • Heo Kwan;Kim Hyun-Tae;Ra In-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.6
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    • pp.1055-1059
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    • 2006
  • In Wireless Sensor Networks(WSNs), a sensor node broadcasts the acquisited sensing data to neighboring other nodes and it makes serious data duplication problem that increases network traffic loads and data loss. This problem is concerned with the conflict condition for supporting both the reliability of data transfer and avoidance of network congestion. To solve the problem, a reliable congestion control protocol is necessary that considers critical factors affecting on data transfer reliability such as reliable data transmission, wireless loss, and congestion loss for supporting effective congestion control in WSNs. In his paper, we proposes a reliable congestion protocol, called HRCCP, based on hop-hop sequence number, and DSbACK by minimizing useless data transfers as an energy-saved congestion control method.