• Title/Summary/Keyword: Data Requirement

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Storage Estimation of Irrigation Reservoir by Water Balance Analysis (물수지 분석을 통한 관개용 저수지의 저수율 추정)

  • Choi, Jin-Kyu;Son, Jae-Gwon;Koo, Ja-Woong;Kim, Young-Ju
    • Journal of Korean Society of Rural Planning
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    • v.9 no.4 s.21
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    • pp.1-7
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    • 2003
  • This study was conducted to seek the effective water management method of the irrigation reservoirs. Joongpyong reservoir was selected for the hydrologic monitoring, and investigated from May in 1999 to December in 2001. The water level and amount of outlet discharge were measured, the stage discharge equation as a rating curve was induced, and which were compared to the irrigation water requirements calculated by a daily simulation model. The water balance of Joongpyong reservoir was analyzed, mainly on the reservoir storage ratio during irrigation period. Comparing the observed storage and simulation data, the results of the simulation were well agreed with the measured data.

A Heuristic for Scheduling Production of Components at a Single Facility (단일설비 생산체제에서 부품의 일정계획에 관한 발견적 기법)

  • Gim, Bong-Jin
    • Journal of Korean Institute of Industrial Engineers
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    • v.20 no.2
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    • pp.31-38
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    • 1994
  • We consider a single-machine scheduling problem dealing with the manufacture of components for subsequent assembly into end products. Each product requires both unique components and common components, and each production requires a setup. By making some assumptions on the data and the availability of the components for assembly, Baker provides on efficient dynamic programming algorithm for obtaining the optimal schedule. In this paper we do not impose any requirement on the data, and we solve the more complicated batching and sequencing problem. We suggest a simple heuristic method that is efficient and finds solutions that are optimal or close to the optimal solution.

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Robust Nonparametric Regression Method using Rank Transformation

    • Communications for Statistical Applications and Methods
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    • v.7 no.2
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    • pp.574-574
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    • 2000
  • Consider the problem of estimating regression function from a set of data which is contaminated by a long-tailed error distribution. The linear smoother is a kind of a local weighted average of response, so it is not robust against outliers. The kernel M-smoother and the lowess attain robustness against outliers by down-weighting outliers. However, the kernel M-smoother and the lowess requires the iteration for computing the robustness weights, and as Wang and Scott(1994) pointed out, the requirement of iteration is not a desirable property. In this article, we propose the robust nonparametic regression method which does not require the iteration. Robustness can be achieved not only by down-weighting outliers but also by transforming outliers. The rank transformation is a simple procedure where the data are replaced by their corresponding ranks. Iman and Conover(1979) showed the fact that the rank transformation is a robust and powerful procedure in the linear regression. In this paper, we show that we can also use the rank transformation to nonparametric regression to achieve the robustness.

Robust Nonparametric Regression Method using Rank Transformation

  • Park, Dongryeon
    • Communications for Statistical Applications and Methods
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    • v.7 no.2
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    • pp.575-583
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    • 2000
  • Consider the problem of estimating regression function from a set of data which is contaminated by a long-tailed error distribution. The linear smoother is a kind of a local weighted average of response, so it is not robust against outliers. The kernel M-smoother and the lowess attain robustness against outliers by down-weighting outliers. However, the kernel M-smoother and the lowess requires the iteration for computing the robustness weights, and as Wang and Scott(1994) pointed out, the requirement of iteration is not a desirable property. In this article, we propose the robust nonparametic regression method which does not require the iteration. Robustness can be achieved not only by down-weighting outliers but also by transforming outliers. The rank transformation is a simple procedure where the data are replaced by their corresponding ranks. Iman and Conover(1979) showed the fact that the rank transformation is a robust and powerful procedure in the linear regression. In this paper, we show that we can also use the rank transformation to nonparametric regression to achieve the robustness.

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Development of Ultrasonic Wave Propagation Imaging System

  • Chia, Chen-Ciang;Lee, Jung-Ryul;Kim, Jong-Heon
    • Journal of the Korean Society for Nondestructive Testing
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    • v.29 no.4
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    • pp.283-292
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    • 2009
  • Laser-based ultrasonic sensing requires the probe with fixed fecal length, but this requirement is not essential in laser-based ultrasonic generation. Based on this fact, we designed a pulsed laser-based ultrasonic wave propagation imaging (UWPI) system with a tilting mirror system for rapid scanning of target, and an in-line band-pass filtering capable of ultrasoaic mode selection. 1D-temporal averaging, 2D-spatial averaging, and 3D-data structure building algorithms were developed far clearer results allowing fur higher damage detectability. The imaging results on a flat stainless steel plate were presented in movie and snapshot formats which showed the propagation of ultrasound visible as a concentric wavefield emerging from the location of an ultrasonic sensor. A hole in the plate with a diameter of 1 mm was indicated by the scattering wavefields. The results showed that this robust UWPI system is independent of focal length and reference data requirements.

An online Calibration Algorithm using binary spreading code for the CDMA-based Adaptive Antenna Array

  • Lee, Chong-Hyun
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.20 no.9
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    • pp.32-39
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    • 2006
  • In this paper, an iterative subspace-based calibration algorithm for a CDMA-based antenna array in the presence of unknown gain and phase error is presented. The algorithm does not depend on the array geometry and does not require a prior knowledge of the Directions Of Arrival (DOA) of the signals. The method requires the code sequence of a reference user only. The proposed algorithm is based on the subspace method and root finding approach, and it provides estimates of the calibration vector, the DOA and the channel impulse response, by using the code sequence of a reference user. The performance of the proposed algorithm was investigated by means of computer simulations and was verified using field data measured through a custom-built W-CDMA test-bed. The data show that experimental results match well with the theoretical calibration algorithm. Also, teh study propose an efficient algorithm using the simulated annealing technique. This algorithm overcomes the requirement of initial guessing in the subspace-based approach.

A Study of Nutritional Assessment and Dietary intake after Gastrectomy of Gastric Cancer patients (위암환자의 위절제술 후 영양상태 평가 및 식사섭취도에 관한 연구)

  • 김태현
    • Journal of Nutrition and Health
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    • v.27 no.8
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    • pp.844-855
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    • 1994
  • The purpose of this study is to investigate the nutritional status and dietary intake of gastrectomized cancer patients. For this study, from 1993. 1 to 1993. 8, 50 postoperative gastric cancer patients were selected to examine anthropometric and laboratory data(Body Weight, Body Fat, serum Albumin, Total Lympocyte count), and dietary intake related symptoms. The results were 1) All anthropometric and laboratory data were significantly deteriorated by gastrectomy(s-Albumin, TLC. Body Fat : p<0.001). Weight loss of gastrectomized patients was 8.23$\pm$3.72% from admission to discharge. 2) In many gastrectomized cancer patients, preoperative dietary intake was decreased by abdominal discomfort, indigestion, early satiety, and anorexia. 3) Postoperative energy intake was 602$\pm$158㎉, and it is correspond to 31.18$\pm$.90% of daily energy requirement(1918$\pm$236㎉). The cause of poor oral intake is mostly fear, abdominal distension and fullness, and early satiety. In consideration of the fact that an inadequate energy intake was the main cause of the decreasing nutritional status, a careful nutritional care and dietary education is necessry after gastrectomy.

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Noise Control Requirements for Airport (소음 측면에서 본 공항의 입지조건)

  • Ok, C.-K.;Joo, S.-D.
    • The Journal of the Acoustical Society of Korea
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    • v.8 no.1
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    • pp.48-58
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    • 1989
  • Airplane noise become a serious problem today. Using the noise patterns at KIMPO and CHEJU INTERNATIONAL AIRPORTS, the impact area of noise for the newly planned international airport was predicted. Contours for noise level were made by a plotter based on WECPNL estimated by a computer program with basic noise data for FAA requirement. The result was also compared with the noise control level abroad.

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Operation of the Radio Occultation Mission in KOMPSAT-5

  • Choi, Man-Soo;Lee, Woo-Kyoung;Cho, Sung-Ki;Park, Jong-Uk
    • Journal of Astronomy and Space Sciences
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    • v.27 no.4
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    • pp.345-352
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    • 2010
  • Korea multi-purpose satellite-5 (KOMPSAT-5) is a low earth orbit (LEO) satellite scheduled to be launched in 2010. To satisfy the precision orbit determination (POD) requirement for a high resolution synthetic aperture radar image of KOMPSAT-5, KOMPSAT-5 has atmosphere occultation POD (AOPOD) system which consists of a space-borne dual frequency global positioning system (GPS) receiver and a laser retro reflector array. A space-borne dual frequency GPS receiver on a LEO satellite provides position data for the POD and radio occultation data for scientific applications. This paper describes an overview of AOPOD system and operation concepts of the radio occultation mission in KOMPSAT-5. We showed AOPOD system satisfies the requirements of KOMPSAT-5 in performance and stability.

Secure Blocking + Secure Matching = Secure Record Linkage

  • Karakasidis, Alexandros;Verykios, Vassilios S.
    • Journal of Computing Science and Engineering
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    • v.5 no.3
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    • pp.223-235
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    • 2011
  • Performing approximate data matching has always been an intriguing problem for both industry and academia. This task becomes even more challenging when the requirement of data privacy rises. In this paper, we propose a novel technique to address the problem of efficient privacy-preserving approximate record linkage. The secure framework we propose consists of two basic components. First, we utilize a secure blocking component based on phonetic algorithms statistically enhanced to improve security. Second, we use a secure matching component where actual approximate matching is performed using a novel private approach of the Levenshtein Distance algorithm. Our goal is to combine the speed of private blocking with the increased accuracy of approximate secure matching.