• Title/Summary/Keyword: Over-Sampling

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A New Development of Large Diameter Sampler and Its Applicability (대구경 Sampler의 개발 및 적용성에 관한 연구)

  • 한영철
    • Proceedings of the Korean Geotechical Society Conference
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    • 1999.10a
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    • pp.331-336
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    • 1999
  • A great deal of attention has been given in recent years to large diameter specimen for evaluation of soft soil characteristics, and many studies and developments of the apparatus for obtaining large diameter undisturbed soil samples are in progress attempting to minimize the disturbance of samples for precise strength and consolidation tests in the laboratory. This paper introduces a new large diameter sampler(over 300mm diameter), which can take prefectly undisturbed sampling at any depths applying a new sampling technique. By comparing the results of consolidation tests it is shown that the samples obtained by this new apparatus are of a superior quality to that of samples obtained by conventional sampler(Nx, 75mm dia.) at the same depths.

Development and Comparisons of Bayesian Acceptance Sampling Plans for the Exponential Lifetime Distribution (지수 수명분포에 대한 Bayesian 합격판정 샘플링계획의 개발 및 비교에 관한 연구)

  • Jeong, Hyun-Seok;Jin, Hwi-Chul;Yum, Bong-Jin
    • Journal of Korean Institute of Industrial Engineers
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    • v.20 no.1
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    • pp.15-25
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    • 1994
  • The Bayesian approach to reliability acceptance sampling has several advantages over the non-Bayesian approach. For instance, the former usually requires less amount of testing time and smaller sample sizes than the latter. In this article, a Bayesian acceptance sampling plan(ASP) based on a failure-free period life test is developed under the assumption of exponential lifetime distribution, and is compared with the corresponding Bayesian hybrid ASP in terms of the expected completion time. It is found that the proposed ASP tends to have a smaller expected completion time than the Bayesian hybrid ASP as the prior assessment of the reliability of a lot becomes optimistic, and vice versa. Tables of failure-free period Bayesian ASP's are also included.

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Stochastic control approach to reliability of elasto-plastic structures

  • Au, Siu-Kui
    • Structural Engineering and Mechanics
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    • v.32 no.1
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    • pp.21-36
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    • 2009
  • An importance sampling method is presented for computing the first passage probability of elasto-plastic structures under stochastic excitations. The importance sampling distribution corresponds to shifting the mean of the excitation to an 'adapted' stochastic process whose future is determined based on information only up to the present. A stochastic control approach is adopted for designing the adapted process. The optimal control law is determined by a control potential, which satisfies the Bellman's equation, a nonlinear partial differential equation on the response state-space. Numerical results for a single-degree-of freedom elasto-plastic structure shows that the proposed method leads to significant improvement in variance reduction over importance sampling using design points reported recently.

Intersymbol Interferences Due to Mismatched Roll-off Factors and Sampling-Time Jitter in a Gaussian Noise Channel

  • Park, Seung Keun;Mok, Jin Dam;Na, Sang Sin
    • The Journal of the Acoustical Society of Korea
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    • v.16 no.2E
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    • pp.47-54
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    • 1997
  • This paper presents two results on intersymbol interferences in baseband digital communication over an additive white Gaussian noise channel-the interferences due to mismatched square-root raised-cosine filters, in which the filters have different roll-off factors, and / or due to sampling-time jitter. The result for the mismatched filters is that even the jitter-free sampling causes intersymbol interference and it is negligibly small for a wide range of signal-to-noise ratio up to 10dB, for the roll-off factor ranging from 0.2 to 0.5, the mismatch loss being within 0.1dB from the optimum at around 10-6 .For jitter interference an approximation formula for the bit error probability is derived in case of the matched filters, which shows how the roll-off factors and the amount of jitter affect the system performance. The formula is reasonably accurate.

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Estimation of River Pollution Index Using Landsat Imagery over Tamsui River, Taiwan

  • Wang, Ying Hsuan;Sohn, Hong-Gyoo
    • Ecology and Resilient Infrastructure
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    • v.5 no.2
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    • pp.88-93
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    • 2018
  • In-situ water quality sampling is used for accurate water quality assessment. However, in-situ water quality sampling offers limited samples and requires much time and intensive labors. Remote sensing approach has recently applied for water quality assessment. It has shown the advantage of offering a synoptic view but also more efficient and economical. In this study, we utilized Landsat Imagery to estimate the water quality of the Tamsui River basin, considered as one of the most important rivers located in the north of Taiwan. In order to monitor water quality of Tamsui River basin, a linear regression relation between the value of spectral radiance and four water quality parameters are investigated with 38 water sampling stations. Through the regression model, we could estimate river pollution index (RPI) from the predicted value of four water quality parameters. By using RPI, we can examine the pollution level of Tamsui River. The accuracy of RPI conversion of this study ranged from 32.2% to 68.2%.

Economic-Statistical Design of VSI Run Rules Charts (VSI 런-규칙 관리도의 경제적-통계적 설계)

  • Kang, Bun-Kyu;Lim, Tae-Jin
    • Journal of Korean Society for Quality Management
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    • v.38 no.2
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    • pp.190-201
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    • 2010
  • This research proposes a method for designing VSI (Variable Sampling Interval) control charts with supplementary run rules. The basic idea is to apply various run rules and the VSI scheme to a control chart in order to increase the sensitivity. The sampling process of the VSI run rules chart is constructed by Markov chain approach. A procedure for designing the VSI run rules chart is proposed based on Lorenzen and Vance's model. Sensitivity study shows that the VSI run rules charts outperform the FSI (Fixed Sampling Interval) run rules charts for wide range of process mean shifts. A major advantage of the VSI run rules chart over other charts such as CUSUM, EWMA, and adaptive charts is it's simplicity in implementation. Some useful guidelines are proposed based on the sensitivity study.

A Simple Proposition for Improving Industrial Hygiene Air Sampling Methods

  • Paik, Samuel Y.;Zalk, David M.
    • Safety and Health at Work
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    • v.10 no.3
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    • pp.389-392
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    • 2019
  • When conducting an exposure assessment, the primary goal of the industrial hygienist is to fully characterize the worker's exposure during a work shift to compare it with an occupational exposure limit. This applies regardless of the duration of the work activity as an activity that is relatively short in duration can still present exposure in excess of the occupational exposure limit even when normalized over an 8-hr shift. This goal, however, is often impeded by the specification of a minimum sample volume in the published sampling method, which may prevent the sample from being collected or submitted for analysis. Removing the specification of minimum sample volume (or adjusting it from a requirement to a recommendation), in contrast, allows for a broader assessment of jobs that consist of short-duration and high-exposure activities and also eliminates the unnecessary practice of running sampling pumps in clean air to collect a specified, minimum volume.

Work Measurement of Dietetic Staff through Work Sampling Methodology in School Foodservice Systems (워크샘플링에 의한 학교급식 전담직원의 직무분석)

  • 양일선;이영은;차진아;유태용;정라나
    • Journal of Nutrition and Health
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    • v.35 no.2
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    • pp.263-271
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    • 2002
  • The purpose of this study was to determine the standard work time of dietetic staff through work sampling methodology in school flood service systems. Work measurement through work sampling methodology was conducted in five conventional, five commissary and five joint management flood service systems over two consecutive weeks in October 1999. Statistical analysis was performed on the SAS/Win 6.12 package program for Kruskal-Wallis test and multiple comparison. Observed data were satisfied with a confidence level of 95% and a confidence interval of $\pm$ 0.05. The results of this study can be summarized as follows. The actual time spent by dietetic staff members in conventional, commissary, joint-management flood servile systems was 2,394, 2,521 and 2,110 minutes per week, respectively. Transportation time of each flood service systeml and ILO allowance rate (11%) was applied. Thus, the standard work time per week of dietetic staff members in conventional, commissary, joint-management flood service systems was 2,746.14, 2,861.58 and 2,520.81 minutes, respectively. The standardized index was 1.04, 1.08 and 0.95 men in conventional, commissary, and joint-management flood service systems, respectively. Regardless of the school flood service system, those with "the duty of cooking and distribution management" had the longest labor time, while those with "duty of nutritional education" had the shortest labor time.

Timing Synchronization with Channel Impulse Response in OFDM Systems (채널 임펄스 응답을 이용한 OFDM 시스템 시간 동기)

  • Kang, Eun-Su;Han, Dong-Seog
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.44 no.7 s.361
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    • pp.53-58
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    • 2007
  • OFDM (orthogonal frequency division multiplexing) is an effective modulation technique for high speed transmission over fading channels. However, it has a high bit error rate in the receiver if there is an error on frame synchronization because of phase rotation. A coherent OFDM system has to acquire exact timing synchronization of fraction and integer sampling positions. When a sampling offset exist the performance of a receiver will be degraded severely. In this paper, we propose an algorithm that acquires the fractional sampling offset in OFDM systems. This scheme compares the channel impulse responses with the early and late sampled signals having 0.5 sample offset from the estimated sampling positions by correlation with the received and training samples. Its performance is verified by computer simulations in multipath channels.

Decision Tree Induction with Imbalanced Data Set: A Case of Health Insurance Bill Audit in a General Hospital (불균형 데이터 집합에서의 의사결정나무 추론: 종합 병원의 건강 보험료 청구 심사 사례)

  • Hur, Joon;Kim, Jong-Woo
    • Information Systems Review
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    • v.9 no.1
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    • pp.45-65
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    • 2007
  • In medical industry, health insurance bill audit is unique and essential process in general hospitals. The health insurance bill audit process is very important because not only for hospital's profit but also hospital's reputation. Particularly, at the large general hospitals many related workers including analysts, nurses, and etc. have engaged in the health insurance bill audit process. This paper introduces a case of health insurance bill audit for finding reducible health insurance bill cases using decision tree induction techniques at a large general hospital in Korea. When supervised learning methods had been tried to be applied, one of major problems was data imbalance problem in the health insurance bill audit data. In other words, there were many normal(passing) cases and relatively small number of reduction cases in a bill audit dataset. To resolve the problem, in this study, well-known methods for imbalanced data sets including over sampling of rare cases, under sampling of major cases, and adjusting the misclassification cost are combined in several ways to find appropriate decision trees that satisfy required conditions in health insurance bill audit situation.