• 영재교육연구
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• 제21권4호
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• pp.1033-1053
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• 2011

본 연구는 역사적 발견을 이루어낸 과학자 가운데 멘델(Mendel, Gregor Johann, 1822-1884)의 과학적 사고과정을 활용하여 과학영재교육프로그램을 개발하고, 이 프로그램을 학습한 학생들의 문제발견 및 가설설정 능력의 변화를 측정하여, 프로그램의 효과성을 검증하는데 목적을 두었다. 이를 위해 먼저, 멘델이 유전법칙을 확립하는 과정에서 나타낸 과학적 사고과정을 분석하여 특징적 탐구요소를 추출하였다. 추출된 탐구요소 가운데 문제발견과 가설설정을 적용한 프로그램으로서 완두를 활용한 모의실험탐구중심의 과학영재교육프로그램을 개발하였다. 개발한 과학영재교육프로그램은 대학교 부설 과학영재교육원 소속 중학교 1, 2학년 학생 19명(남학생 11명, 여학생 8명)을 대상으로 적용되었다. 적용한 결과, 학생들은 문제발견 능력의 하위요소 융통성, 정교성, 독창성이 신장되었고, 가설설정 능력의 논리성도 신장되었다. 이에 개발된 과학영재교육프로그램은 중학교 과학영재로 선발된 학생들의 문제발견 및 가설 설정 능력을 향상시키는데 효과가 있는 것으로 고찰되었다.

• 대한정형도수물리치료학회지
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• 제17권1호
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• pp.35-44
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• 2011

Background: This study was to suggest the process of making strategy for effective intervention and evaluation on functional problems of the frozen shoulder patient applied International Classification of Functioning Disability and Health (ICF) Tools. Methods: The patient was 48years old woman with right shoulder adhesive capsulitis and calcific tendinitis. In first phase, therapists could list the information relating to functional problems used by the ICF Core set and then could confirm the interaction among the problems using the ICF assessment sheet. In second phase, therapist is needed to make the hypothesis and hypothesis testing and then set a primary functional goals and therapeutic goals in detail after prioritizing the problems to be managed based on the problem list. Lastly, after setting the confirmed problems as the purpose of intervention through the hypothesis testing, therapist could do some intervention after making a plan to solve these problems. Results: This report illustrates how to apply the process based on ICF concept into physical therapy practice. The decided hypothesis and goal that are to solve the problems the client faced were remarkably meaningful. Conclusions: Clinical decision making for the most effective intervention requires that therapists use the clinical reasoning process based on ICF concept.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권4호
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• pp.1193-1215
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• 2021

The measurement of the key product quality index plays an important role in improving the production efficiency and ensuring the safety of the enterprise. Since the actual working conditions and parameters will inevitably change to some extent with time, such as drift of working point, wear of equipment and temperature change, etc., these will lead to the degradation of the quality variable prediction model. To deal with this problem, the selective integrated moving windows based principal component regression (SIMV-PCR) is proposed in this study. In the algorithm of traditional moving window, only the latest local process information is used, and the global process information will not be enough. In order to make full use of the process information contained in the past windows, a set of local models with differences are selected through hypothesis testing theory. The significance levels of both T - test and χ² - test are used to judge whether there is identity between two local models. Then the models are integrated by Bayesian quality estimation to improve the accuracy of quality variable prediction. The effectiveness of the proposed adaptive soft measurement method is verified by a numerical example and a practical industrial process.

• 응용통계연구
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• 제13권2호
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• pp.515-523
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• 2000

본 논문에서는 변화점 문제(change-point problem)에 대한 통계적 방법들을 사용하여 에지를 검출하고자 한다. 이를 위해 $n\timesn$ 부분영상을 선택하고 선택된 영상이 농도값에서 유의한 차이가 있는 두 개의 영역으로 분할하는 경계에 대응되는 에지점(edge point)을 포함하는지에 대해 가설 검정을 한다. 에지 검출에 사용되는 통계적 방법은 이표본 Kolmogorov-Smirnov 검정에 기초해서 얻은 제안된 방법과 기존의 우도비(likelihood ratio)방법,비모수적인 Wolfe-Schechtman 방법 등이다. 위 방법들의 성능을 평가하기 위해 접음영상과 잡음없는 영상에 대해 실험을 실시하고 비교 분석한다.

• Communications for Statistical Applications and Methods
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• 제14권2호
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• pp.443-457
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• 2007

This paper deals with the problem of testing the existence of change in mean and estimating the change-point using nonparametric bootstrap technique. A test statistic using Gombay and Horvath (1990)'s functional form is applied to derive a test statistic and nonparametric change-point estimator with bootstrapping idea. Achieved significance level of the test is calculated for the proposed test to show the evidence against the null hypothesis. MSE and percentiles of the bootstrap change-point estimators are given to show the distribution of the proposed estimator in simulation.

• 품질경영학회지
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• 제22권2호
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• pp.166-176
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• 1994

Some rank score tests are proposed for testing the equality of all sampling distribution functions against ordered location-scale alternatives in k-sample problem. Under the null hypothesis and a contiguous sequence of ordered location-scale alternatives, the asymptotic properties of the proposed test statistics are investigated. Also, the asymptotic local powers are compared with each others. The results show that the proposed tests based on the Hettmansperger-Norton type statistic are more powerful than others for the general ordered location-scale alternatives. However, the Shiraishi's tests based on the sum of two Bartholomew's rank analogue statistics are robust.

• Communications for Statistical Applications and Methods
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• 제2권2호
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• pp.166-175
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• 1995

When a neutral particle beam(NPB) aimed at the object and receive a small number of neutron signals at the detector without any errors, it obeys Poisson law. Under the two assumptions that neutral particle scattering distribution and aiming errors have a circular Gaussian distributions that neutral particle scattering distribution and aiming errors have a circular Gaussian distribution respectively, an exact probability distribution of neutral particles vecomes a Poisson-power function distribution. We study and prove some properties, such as limiting distribution, unimodality, stochastical ordering, computational recursion fornula, of this distribution. We also prove monotone likelihood ratio(MLR) property of this distribution. Its MLR property can be used to find a criteria for the hypothesis testing problem.

• Communications for Statistical Applications and Methods
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• 제6권3호
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• pp.893-900
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• 1999

We use statistical tests which are useful for two-sample problem for detecting edges in gray-level images. An edge is detected by examining changes in gray-level value between adjacent pixel neighborhoods. Some experimental results show that nonparametric detectors such as Mann-Whitney test median test and Kolmogorov-Smirnov test perform effectively in both noisy and noise-free images while parametric T test is sensitive to noise.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권5호
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• pp.1317-1340
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• 2024

With the rapid development of information technology, people's demands on precise indoor positioning are increasing. Wireless sensor network, as the most commonly used indoor positioning sensor, performs a vital part for precise indoor positioning. However, in indoor positioning, obstacles and other uncontrollable factors make the localization precision not very accurate. Ultra-wide band (UWB) can achieve high precision centimeter-level positioning capability. Inertial navigation system (INS), which is a totally independent system of guidance, has high positioning accuracy. The combination of UWB and INS can not only decrease the impact of non-line-of-sight (NLOS) on localization, but also solve the accumulated error problem of inertial navigation system. In the paper, a fused UWB and INS positioning method is presented. The UWB data is firstly clustered using the Fuzzy C-means (FCM). And the Z hypothesis testing is proposed to determine whether there is a NLOS distance on a link where a beacon node is located. If there is, then the beacon node is removed, and conversely used to localize the mobile node using Least Squares localization. When the number of remaining beacon nodes is less than three, a robust extended Kalman filter with M-estimation would be utilized for localizing mobile nodes. The UWB is merged with the INS data by using the extended Kalman filter to acquire the final location estimate. Simulation and experimental results indicate that the proposed method has superior localization precision in comparison with the current algorithms.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2002년도 하계학술대회 논문집 D
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• pp.2096-2098
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• 2002

In this paper, the optimal evasive maneuver strategies for typical subsonic ASM(anti-ship missile) to reach its target ship with high survivability against CIWS(close in weapon system) are studied. The optimal evasive maneuver input is defined by the homing command optimizing the cost function which takes aiming errors of CIWS into account. The optimization problem for the effective evasive maneuver is formulated based on a simple missile dynamics model and a CIWS model. By means of solving the problem, a multiple hypotheses testing method is proposed. Since this method requires generation of too many hypotheses, the hypothesis-pruning technique is adopted. The solution shows that the optimal evasive maneuver is a bang-bane shaped command whose frequency is varied by the aimpoint determination strategy in CIWS.