• Title/Summary/Keyword: Sampling effect

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Determination of Sampling Points Based on Curvature distribution (곡률 기반의 측정점 결정 알고리즘 개발)

  • 박현풍;손석배;이관행
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2000.11a
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    • pp.295-298
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    • 2000
  • In this research, a novel sampling strategy for a CMM to inspect freeform surfaces is proposed. Unlike primitive surfaces, it is not easy to determine the number of sampling points and their locations for inspecting freeform surfaces. Since a CMM operates with slower speed in measurement than optical measuring devices, it is important to optimize the number and the locations of sampling points in the inspection process. When a complete inspection of a surface is required, it becomes more critical. Among various factors to cause shape errors of a final product, curvature characteristic is essential due to its effect such as stair-step errors in rapid prototyping and interpolation errors in NC tool paths generation. Shape errors are defined in terms of the average and standard deviation of differences between an original model and a produced part. Proposed algorithms determine the locations of sampling points by analyzing curvature distribution of a given surface. Based on the curvature distribution, a surface area is divided into several sub-areas. In each sub-area, sampling points are located as further as possible. The optimal number of sub-areas. In each sub-area, sampling points are located as further as possible. The optimal number os sub-areas is determined by estimating the average of curvatures. Finally, the proposed method is applied to several surfaces that have shape errors for verification.

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The Effect of Transformer Leakage Inductance on the Steady State Performance of Push-pull based Converter with Continuous Current

  • Chen, Qian;Zheng, Trillion Q.;Li, Yan;Shao, Tiancong
    • Journal of Power Electronics
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    • v.13 no.3
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    • pp.349-361
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    • 2013
  • As a result of the advantages such as high efficiency, continuous current and high stability margin, push-pull converter with continuous current (PPCWCC) is competitive for battery discharge regulator (BDR) which plays an important role in power conditioning unit (PCU). Leakage inductance yields current spike in low-ripple current of PPCWCCs. The operating modes are added due to leakage inductance. Therefore the steady state performance is affected, which is embodied in the spike of low-ripple current. PPCWCCs which are suitable for BDR can be separated into three types by current spike characteristics. Three representative topologies IIs1, IIcb2 and Is3 are analyzed in order to investigate the factors on the magnitude and duration of spike. Equivalent current sampling method (ECSM) which eliminates the sampling time delay and achieves excellent dynamic performance is adopted to prevent the spike disturbance on current sampling. However, ECSM reduces the sampling accuracy and telemetry accuracy due to neglecting the spike. In this paper, ECSM used in PPCWCCs is summarized. The current sampling error is analyzed in quality and quantity, which provides the foundation for offsetting and enhancing the telemetry accuracy. Finally, current sampling error rate of three topologies is compared by experiment results, which verify the theoretical analysis.

Effect of Rocking Behavior of Isolated Nuclear Structures and Sampling Technique for Isolation-System Properties on Clearance-to-stop (면진 원전구조물의 전도거동과 면진시스템 특성에 대한 샘플링 기법이 정지거리에 미치는 영향)

  • Han, Min Soo;Hong, Kee Jeung;Cho, Sung Gook
    • Journal of the Earthquake Engineering Society of Korea
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    • v.19 no.6
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    • pp.293-302
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    • 2015
  • ASCE 4 requires that a hard stop be built around the seismic isolation system in nuclear power plants. In order to maintain the function of the isolation system, this hard stop is required to have clearance-to-stop, which should be no less than the 90th-percentile displacements for 150% Design Basis Earthquake (DBE) shaking. Huang et al. calculated clearance-to-stop by using a Latin Hypercube Sampling technique, without considering the rocking behavior of the isolated structure. This paper investigates the effects on estimation of clearance-to-stop due to 1) rocking behavior of the isolated structure and 2) sampling technique for considering the uncertainties of isolation system. This paper explains the simplified analysis model to consider the rocking behavior of the isolated structure, and the input earthquakes recorded at Diablo Canyon in the western United States. In order to more accurately approximate the distribution tail of the horizontal displacement in the isolated structure, a modified Latin Hypercube Sampling technique is proposed, and then this technique was applied to consider the uncertainty of the isolation system. Through the use of this technique, it was found that rocking behavior has no significant effect on horizontal displacement (and thus clearance-to-stop) of the isolated structure, and the modified Latin Hypercube Sampling technique more accurately approximates the distribution tail of the horizontal displacement than the existing Latin Hypercube Sampling technique.

Measuring stratification effects for multistage sampling (다단추출 표본설계의 층효율성 연구)

  • Taehoon Kim;KeeJae Lee;Inho Park
    • The Korean Journal of Applied Statistics
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    • v.36 no.4
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    • pp.337-347
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    • 2023
  • Sampling designs often use stratified sampling, where elements or clusters of the study population are divided into strata and an independent sample is chosen from each stratum. The stratification strategy consists of stratification and sample allocation, which are important issues that are repeatedly considered in survey sampling. Although a stratified multistage sample design is often used in practice, the literature tends to discuss simple sampling in terms of stratum effects or stratum efficiency. This study examines an existing stratum efficiency measure for two-stage sampling and further proposes additional stratum efficiency measures using the design effect model. The proposed measures are used to evaluate the stratification strategy of the sample design for high school students of the 4th Korean National Environmental Health Survey (KoNEHS).

Work Ethics Strengthen the Impact of Distribution Knowledge Sharing on Innovation Abilities in Small Public Accountant Firms

  • OKTAROZA, Magnaz Lestira;MAEMUNAH, Mey;HARTANTO, Rudy;PURNAMASARI, Pupung
    • Journal of Distribution Science
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    • v.20 no.7
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    • pp.35-46
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    • 2022
  • Purpose: This study examines the effect of distribution knowledge sharing on innovation ability using work ethic as a variable that strengthens this effect. Research design, data and methodology: This research was conducted on 283 auditors who work at the Small Public Accounting Firm (SPAF) in Indonesia. The research method used is a verification method with a quantitative approach. The sampling technique used is a non-probability sampling technique with a purposive sampling type. Furthermore, the data analysis technique used is PLS-SEM. Results: The results of the tests that have been carried out show that distribution knowledge sharing has a significant effect on the auditor's innovation ability. Other test results show that work ethic has a significant effect on innovation ability and work ethic strengthens the effect of distribution knowledge sharing on auditors' innovation ability. Conclusions: Auditors in Indonesia have implemented distribution knowledge sharing activities optimally followed by a maximum work ethic to encourage high innovation abilities that will be able to create new methods and ideas that can be useful for clients. This research is expected to provide distribution knowledge to auditors to be able to improve their abilities, especially in the field of auditing to increase their competence as auditors.

Digital Feedback Linerization of the Nonlinear System (비선형 시스템의 디지털 Feedback 선형화 기법)

  • 이홍기;전홍태;김찬호
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.31B no.6
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    • pp.33-42
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    • 1994
  • The sampling is inevitable in controlling the nonlinear continuous time system. This paper deals with digital feedback linearization problem which eliminates or reduces the effect of the sampling. Necessary and sufficient condition for reducing the sampling error up to O$(h^5)$ are obtained. Also, the effectiveness of our control scheme in accuracy and robustness is shown by comuter simulations.

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Small Signal Modeling of Current Mode Control (전류모드 제어의 소신호 모델링)

  • 정영석;강정일;최현칠;윤명중
    • The Transactions of the Korean Institute of Power Electronics
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    • v.3 no.4
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    • pp.338-345
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    • 1998
  • The mathematical interpretation of a practical sampler which is useful to obtain the small signal models for the peak and average current mode controls is proposed. Due to the difficulties in applying the Shannons sampling theorem to the analysis of sampling effects embedded in the current mode control, several different approaches have been reported. However, these approaches require the information of the inductor current in a discrete expression, which restricts the application of the reported method only to the peak current mode control. In this paper, the mathematical expressions of sampling effects on a current loop which can directly apply the Shannons sampling theorem are newly proposed, and applied to the modeling of the peak current mode control. By the newly derived models of a practial smapler, the models in a discrete time domain and a continuous time domain are obtained. It is expected that the derived models are useful for the control loop design of power supplies. The effectiveness of the derived models are verified through the simulation and experimental results.

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Preliminary Analysis of a Sampling and Transportation System for Leak Detection during Steam Leak Accident of a Pipe in Nuclear Power Plants (원전 내 배관의 증기 누설 사고 시 누설 탐지 포집/이송 시스템 예비 해석)

  • Choi, Dae Kyung;Choi, Choengryul;Kwon, Tae-Soon;Euh, Dong-Jin
    • Transactions of the Korean Society of Pressure Vessels and Piping
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    • v.16 no.2
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    • pp.25-34
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    • 2020
  • As leakage in nuclear power plants could cause a variety of problems, it is very critical to monitor leakage from the safety point of view. Accordingly, a new type of leak detection system is currently being developed and flow characteristics of the sampling and transportation system are investigated by using numerical analysis as a part of the development process in this study. The results showed that the steam mass fraction varied according to the effect of the gap between the insulation and piping component, transportation velocity, and material properties of porous media during the sampling and transportation process. The results of this study should be useful for understanding flow characteristics of the sampling and transportation system and its design and application.

Understanding Complex Design Features via Design Effect Models (설계효과모형을 통한 설계요소의 유용성 이해)

  • Park, Inho
    • The Korean Journal of Applied Statistics
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    • v.28 no.6
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    • pp.1217-1225
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    • 2015
  • Survey research, data is commonly collected through a sample design with complex design features that allow the relative efficiency on the precision of an estimator to be measured using the concept of the design effect compared to simple random sampling as a reference design. This concept is most useful when the design effect can be expressed as a function of various design features. We propose a design effect formula suitable under a stratified multistage sampling by generalizing Gabler et al. (1999, 2006)'s approaches for multistage sampling. Its use can either guide improvement in the design efficiency when in design stage or enable the evaluation of the adopted design features afterwards.

Study on the Effect of Training Data Sampling Strategy on the Accuracy of the Landslide Susceptibility Analysis Using Random Forest Method (Random Forest 기법을 이용한 산사태 취약성 평가 시 훈련 데이터 선택이 결과 정확도에 미치는 영향)

  • Kang, Kyoung-Hee;Park, Hyuck-Jin
    • Economic and Environmental Geology
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    • v.52 no.2
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    • pp.199-212
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    • 2019
  • In the machine learning techniques, the sampling strategy of the training data affects a performance of the prediction model such as generalizing ability as well as prediction accuracy. Especially, in landslide susceptibility analysis, the data sampling procedure is the essential step for setting the training data because the number of non-landslide points is much bigger than the number of landslide points. However, the previous researches did not consider the various sampling methods for the training data. That is, the previous studies selected the training data randomly. Therefore, in this study the authors proposed several different sampling methods and assessed the effect of the sampling strategies of the training data in landslide susceptibility analysis. For that, total six different scenarios were set up based on the sampling strategies of landslide points and non-landslide points. Then Random Forest technique was trained on the basis of six different scenarios and the attribute importance for each input variable was evaluated. Subsequently, the landslide susceptibility maps were produced using the input variables and their attribute importances. In the analysis results, the AUC values of the landslide susceptibility maps, obtained from six different sampling strategies, showed high prediction rates, ranges from 70 % to 80 %. It means that the Random Forest technique shows appropriate predictive performance and the attribute importance for the input variables obtained from Random Forest can be used as the weight of landslide conditioning factors in the susceptibility analysis. In addition, the analysis results obtained using specific sampling strategies for training data show higher prediction accuracy than the analysis results using the previous random sampling method.