• 제목/요약/키워드: sampling Method

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디지털 빔포밍을 위한 다차 샘플링 방법의 실험적 고찰 (Experimental Considration of Multi-order Sampling for Digital Beamforming)

  • 나병윤;정목근
    • 대한의용생체공학회:의공학회지
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    • 제19권2호
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    • pp.105-112
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    • 1998
  • 본 논문에서는 RF초음파 신호의 포락선 검출을 위하여 제안된 다차 샘플링 방법의 성능을 실험데이터를 이용하여 Quadrature 샘플링 및 2차 샘플링 방법과 비교하였다. Quadrature 샘플링의 결과 영상과 비교해볼 때 2차 샘플링의 결과 영상은 많은 오차를 보이고 있다. 그러나 다차 샘플링 결과, 특히 5차 샘플링 결과는 매우 우수한 포락선 검출 결과를 보여주고 있다. 이러한 다차 샘플링 방법을 사용하면 보다 경제적이고 우수한 성능의 디지털 빔포밍 시스템의 구현이 가능하다.

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A Study of Circular Sampling in Finite Population

  • Hae-Yong Lee
    • Communications for Statistical Applications and Methods
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    • 제3권3호
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    • pp.161-168
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    • 1996
  • This paper describes a sampling method, which can be used instead of the simple random sampling without replacement(SRSWOR). This method, circular sampling, assumes that the sampling units of the population are arranged in circular format, and randomly selects as many as samples of contiguous units. Therefore this method gathers information quicker and easier than STSWOR. In certain circumstances, the reliability of this method is better than that of STSWOR. And of circular sampling would be applied to nonprobability could be determined. methods, the reliability of the sample results in terms of probability could be determined.

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Unbiased Balanced Half-Sample Variance Estimation in Stratified Two-stage Sampling

  • Kim, Kyu-Seong
    • Journal of the Korean Statistical Society
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    • 제27권4호
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    • pp.459-469
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    • 1998
  • Balanced half sample method is a simple variance estimation method for complex sampling designs. Since it is simple and flexible, it has been widely used in large scale sample surveys. However, the usual BHS method overestimate the true variance in without replacement sampling and two-stage cluster sampling. Focusing on this point , we proposed an unbiased BHS variance estimator in a stratified two-stage cluster sampling and then described an implementation method of the proposed estimator. Finally, partially BHS design is explained as a tool of reducing the number of replications of the proposed estimator.

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디지털 빔포밍을 위한 다차 샘플링 방법의 실험적 고찰 (Experimental consideration of multi -order sampling or digital beamforming)

  • 나병윤;정목근;안영복
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1997년도 추계학술대회
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    • pp.563-566
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    • 1997
  • In this paper, several bandwidth sampling methods were compared in which contains "multi-order sampling", which was proposed or envelope detections in RF ultrasonic signals by a computer simulation and on experiment quadrature sampling method. The second-order sampling method were compared with it. As a conclusion, a multi-order sampling method, especially 5th order sampling method showed quite good envelope detection property. This means that more economical and quite good performance digital beamforming system can be built by adopting this new bandwidth sampling method.

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임분재적(林分材積) 추정(推定)에 관(關)한 연구(硏究) (Study on the Estimate of Stand Volume in the Pitch Pine Forest)

  • 이여하
    • 한국산림과학회지
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    • 제18권1호
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    • pp.1-7
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    • 1973
  • 본시험(本試驗)은 리기다소나무 인공단순림(인공단순림)에 있어서 임분재적추정(林分材積推定)을 단급법(單級法) 단순임의추출법(單純任意抽出法) 복합비추정법(複合比推定法) 분리비추정법(分離比推定法) 표준목비추정법(標準木比推定法)등의 방법(方法)으로 조사비교(調査比較)한 것이다. 비추정(比推定)에 의하여 얻은 결과(結果)는 표(表) 8과 같아 실제임분재적(實際林分材積)이 추정임분재적내(推定林分材積內)에 포함(包含)되어 있는 것은 단순임의추출법(單純任意抽出法)과 복합비추정법(複合比推定法)뿐이다. 단순임의추출법(單純任意抽出法)이 좋은 결과(結果)를 갖어온 것은 임분(林分)의 구성상태(構成狀態)가 단순동령림(單純同齡林)이기 때문이라 추측(推測)된다. 추정시(推定時) 측정(測定)이나 계산(計算)이 간편한것은 (1) 단급법(單級法) (2) 단순임의추출법(單純任意抽出法) (3) 표준목비추정법(標準木比推定法) (4) 분리비추정법(分離比推定法) (5) 복합비추정법(複合比推定法)의 순(順)으로 되어 정도면(精度面)이나 실제임분(實際林分) 재적(材積) 측정시(測定時) 시간경비(時間經費) 노력(勞力)을 비교적(比較的) 적게 들이고 측정(測定)할수 있는 방법(方法)은 적어도 인공일제림(人工一齊林)에서는 단순임의추출법(單純任意抽出法)이 가장 좋은 결과(結果)를 가져왔다고 본다.

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A NUETROSOPHIC SINGLE ACCEPTANCE SAMPLING PLAN WITH QUALITY PARAMETERS

  • S. JAYALAKSHMI;M. GOPINATH
    • Journal of applied mathematics & informatics
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    • 제42권1호
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    • pp.179-187
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    • 2024
  • In the Quality Control and inspection processes, the use of attribute sampling strategies is crucial. In this study, we incorporate the neutrosophic fuzzy acceptance sampling plan method to present a fresh approach to attribute sampling plans. Utilizing the benefits of neutrosophic fuzzy sets, the proposed sampling plan method models and assesses the acceptance standards for attribute sampling. We compare the suggested method to already-in-use attribute sampling techniques plans with new attribute six sigma sampling techniques plan is proposed in order to verified its efficacy. The outcomes show the neutrosophic fuzzy acceptance sampling plan's superiority in terms of its capacity to manage uncertainties, account for ambiguity, and produce more precise quality evaluation outputs.

비용 효율적 표준지 조사를 위한 표본추출방법 비교 사례연구: 임의추출법, 계통추출법, 선상추출법을 중심으로 (A Comparative Case Study on Sampling Methods for Cost-Effective Forest Inventory: Focused on Random, Systematic and Line Sampling)

  • 박주원;조승완;김동근;정건휘;김보미;우희성
    • 한국산림과학회지
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    • 제109권3호
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    • pp.291-299
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    • 2020
  • 본 연구는 경상북도 봉화군 춘양면 애당리 수확 벌채 지역을 대상으로 다양한 표본추출방법을 적용하여 재적을 산출한 후 실제 벌채량 및 설계서상의 재적 값과의 비교를 통해 보다 정확하고 비용 효율적인 표본추출방법을 제시하고자 수행하였다. 연구에 사용된 표본추출방법으로는 1) 임의추출법, 2) 계통추출법, 3) 선상추출법을 적용하였으며, 각 표본추출방법별로 이동시간, 추정된 재적평균의 표본 오차율, 조사시간, 조사원 규모, 시간당 임금, 표본점 개수 등을 이용하여 표본추출방법에 대한 산림조사의 비용 효율성을 분석하였다. 각 표본추출방법별로 10개의 표본점을 추출하였으며, Bootstrap 기법을 이용하여 표본 강도의 타당성을 검증하였다. 분석결과, 선상추출법이 임의 및 계통추출법보다 실측된 재적 값과의 재적 편차가 상대적으로 가장 적은 것으로 나타났고, 산림 조사 비용 측면에서는 목표 표준오차율에 상관없이 임의추출법을 활용한 산림조사가 조사비용이 가장 낮은 것으로 나타났다. 본 연구결과에 따르면, 선상추출법과 임의추출법을 통한 산림조사 방법이 계통추출법을 이용한 방법보다 비용 효율적이며 재적의 정확도가 높은 것으로 나타났다. 하지만 사례 연구의 특성상, 연구에서 분석된 결과의 일반화에는 한계가 있어, 향후 국내의 다양한 지역을 대상으로 동일한 방법의 연구가 진행된다면, 국내 산림의 환경적 특성을 반영한 표본추출방법이 제시될 것으로 기대된다.

Uncertainty Analysis of Concrete Structures Using Modified Latin Hypercube Sampling Method

  • Yang, In-Hwan
    • International Journal of Concrete Structures and Materials
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    • 제18권2E호
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    • pp.89-95
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    • 2006
  • This paper proposes a modified method of Latin Hypercube sampling to reduce the variance of statistical parameters in uncertainty analysis of concrete structures. The proposed method is a modification of Latin Hypercube sampling method. This analysis method uses specifically modified tables of random permutations of ranked numbers. In addition, the Spearman coefficient is used to make modified tables. Numerical analysis is carried out to predict the uncertainty of axial shortening in prestressed concrete bridge. Statistical parameters obtained from modified Latin Hypercube sampling method and conventional Latin Hypercube sampling method are compared and evaluated by a numeric analysis. The results show that the proposed method results in a decrease in the variance of statistical parameters. This indicates the method is efficient and effective in the uncertainty analysis of complex structural system such as prestressed concrete bridges.

A Probabilistic Sampling Method for Efficient Flow-based Analysis

  • Jadidi, Zahra;Muthukkumarasamy, Vallipuram;Sithirasenan, Elankayer;Singh, Kalvinder
    • Journal of Communications and Networks
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    • 제18권5호
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    • pp.818-825
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    • 2016
  • Network management and anomaly detection are challenges in high-speed networks due to the high volume of packets that has to be analysed. Flow-based analysis is a scalable method which reduces the high volume of network traffic by dividing it into flows. As sampling methods are extensively used in flow generators such as NetFlow, the impact of sampling on the performance of flow-based analysis needs to be investigated. Monitoring using sampled traffic is a well-studied research area, however, the impact of sampling on flow-based anomaly detection is a poorly researched area. This paper investigates flow sampling methods and shows that these methods have negative impact on flow-based anomaly detection. Therefore, we propose an efficient probabilistic flow sampling method that can preserve flow traffic distribution. The proposed sampling method takes into account two flow features: Destination IP address and octet. The destination IP addresses are sampled based on the number of received bytes. Our method provides efficient sampled traffic which has the required traffic features for both flow-based anomaly detection and monitoring. The proposed sampling method is evaluated using a number of generated flow-based datasets. The results show improvement in preserved malicious flows.

Low-discrepancy sampling for structural reliability sensitivity analysis

  • Cao, Zhenggang;Dai, Hongzhe;Wang, Wei
    • Structural Engineering and Mechanics
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    • 제38권1호
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    • pp.125-140
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    • 2011
  • This study presents an innovative method to estimate the reliability sensitivity based on the low-discrepancy sampling which is a new technique for structural reliability analysis. Two advantages are contributed to the method: one is that, by developing a general importance sampling procedure for reliability sensitivity analysis, the partial derivative of the failure probability with respect to the distribution parameter can be directly obtained with typically insignificant additional computations on the basis of structural reliability analysis; and the other is that, by combining various low-discrepancy sequences with the above importance sampling procedure, the proposed method is far more efficient than that based on the classical Monte Carlo method in estimating reliability sensitivity, especially for problems of small failure probability or problems that require a large number of costly finite element analyses. Examples involving both numerical and structural problems illustrate the application and effectiveness of the method developed, which indicate that the proposed method can provide accurate and computationally efficient estimates of reliability sensitivity.