• 제목/요약/키워드: Random measure.

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개선된 퍼지 클러스터 알고리즘을 이용한 블라인드 비선형 채널등화에 관한 연구 (A Study on Blind Nonlinear Channel Equalization using Modified Fuzzy C-Means)

  • 박성대;한수환
    • 한국멀티미디어학회논문지
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    • 제10권10호
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    • pp.1284-1294
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    • 2007
  • 본 논문에서는 개선된 퍼지 클러스터(Modified Fuzzy C-Means: MFCM) 알고리즘을 이용하여 블라인드 비선형 채널등화기를 구현하였다. 이를 위해 제안된 MFCM은 기존의 유클리디언 거리 값 대신 Bayesian Likelihood 목적함수(fitness function)를 이용하여 채널의 출력으로 수신된 데이터들로부터 비선형 채널의 최적의 채널 출력 상태 값(optimal channel output states)을 추정한다. 이렇게 구해진 채널 출력 상태 값들로 비선형 채널의 이상적 채널 상태(desired channel states) 벡터를 구성하고 이를 Radial Basis Function(RBF) 등화기의 중심(center)으로 활용하여 송신된 데이터 심볼을 찾아낸다. 실험에서는 무작위 이진 신호에 가우스 잡음을 추가한 데이터를 사용하여 하이브리드 유전자 알고리즘 (genetic algorithm(GA) merged with simulated annealing (SA): GASA)과 그 성능을 비교하였으며, 제안된 MFCM을 이용한 등화기가 GASA를 사용한 것 보다 상대적으로 정확도와 속도 면에서 우수함을 보였다.

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정규혼합분포를 이용한 ROC 분석 (ROC Curve Fitting with Normal Mixtures)

  • 홍종선;이원용
    • 응용통계연구
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    • 제24권2호
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    • pp.269-278
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    • 2011
  • 스코어 변수의 민감도와 특이도와의 관계로 표현한 ROC 곡선을 더욱 정확한 진단을 위하여 분포함수와 공변량을 고려한 연구가 많이 진행되었다. 공변량을 고려하는 회귀분석 방법을 사용하였으며 이때 분포함수를 정규분포로 가정하거나 잔차의 분포함수를 추정하여 ROC 분석을 하였다. 본 연구는 분포함수가 주어지지 않으며 진단에 영향을 주는 공변량을 모르는 일반적인 상황에서 논의하였다. 확률변수인 스코어와 두 개의 보모집단으로 구성된 신용평가 자료에 적합한 분포함수를 추정하기 위하여 여러 개의 정규분포가 혼합된 정규혼합분포를 사용하여 ROC 분석을 한다. 고전적인 비모수적이고 경험적인 ROC 곡선에 적합한지를 파악하기 위하여 AUC 통계량을 사용하여 비교하며, 본 연구에서 제안한 정규혼합분포를 이용한 ROC 곡선이 다른 방법으로 구한 ROC 곡선보다 적합함을 보였다.

총채널 불확실도를 적용한 원전 노심출구온도의 운전가능 판정기준 (Operating Criteria of Core Exit Temperature in Nuclear Power Plant with using Channel Statistical Allowance)

  • 성제중;윤덕주;하상준
    • 한국안전학회지
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    • 제29권6호
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    • pp.166-171
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    • 2014
  • Nuclear power plants are equipped with the reactor trip system (RTS) and the engineered safety features actuation system (ESFAS) to improve safety on the normal operation. In the event of the design basis accident (DBA), a various of post accident monitor(PAM)systems support to provide important details (e.g. Containment pressure, temperature and pressure of reactor cooling system and core exit temperature) to determine action of main control room (MCR). Operator should be immediately activated for the accident mitigation with the information. Especially, core exit temperature is a critical parameter because the operating mode converts from normal mode to emergency mode when the temperature of core exit reaches $649^{\circ}C$. In this study, uncertainty which was caused by exterior environment, characteristic of thermocouple/connector and accuracy of calibrator/indicator was evaluated in accordance with ANSI-ISA 67.04. The square root of the sum of square (SRSS) methodology for combining uncertainty terms that are random and independent was used in the synthesis. Every uncertainty that may exist in the hardware which is used to measure the core exit temperature was conservatively applied and the associative relation between the elements of uncertainty was considered simultaneously. As a result of uncertainty evaluation, the channel statistical allowance (CSA) of single channel of core exit temperature was +1.042%Span. The range of uncertainty, -0.35%Span ($-4.05^{\circ}C$) ~ +2.08%Span($24.25^{\circ}C$), was obtained as the operating criteria of core exit temperature.

비선형 블라인드 채널등화를 위한 퍼지 클러스터 알고리즘의 성능개선 (Performance Improvement on Fuzzy C-Means Algorithm for Nonlinear Blind Channel Equalization)

  • 박성대;한수환
    • 한국지능정보시스템학회:학술대회논문집
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    • 한국지능정보시스템학회 2007년도 한국지능정보시스템학회
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    • pp.382-388
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    • 2007
  • 본 논문에서는 비선형 블라인드 채널등화기의 구현을 위하여 개선된 퍼지 클러스터(Modified Fuzzy C-Means: MFCM) 알고리즘을 제안한다. 제안된 MFCM은 기존의 유클리디언 거리 값 대신 Bayesian Likelihood 목적함수(fitness function)를 이용하여 비선형 채널의 출력으로 수신된 데이터들로부터 최적의 채널 출력 상태값(optimal channel output states)을 추정한다. 이렇게 추정된 채널 출력 상태 값들로 비선형 채널의 이상적인 채널 상태(desired channel states) 벡터들을 구성하고 이를 Radial Basis Function(RBF) 등화기의 중심(center)으로 활용함으로써 송신된 데이터 심볼을 찾아낸다. 실험에서는 무작위 이진 신호에 가우스 노이즈를 추가한 데이터를 사용하여 하이브리드 유전자 알고리즘 (GA merged with simulated annealing (SA): GASA)과 그 성능을 비교 하였으며, 제안된 MFCM을 이용한 등화기가 GASA를 활용한 것 보다 상대적으로 정확도와 속도 면에서 우수함을 보였다.

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정밀 마찰측정을 위한 이중 캔틸레버 구조 마찰시험기의 설계에 관한 연구 (A Study on the Design of a Double Cantilever Structure Friction Tester for Precision Friction Measurement)

  • 강원빈;김현준
    • Tribology and Lubricants
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    • 제34권4호
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    • pp.125-131
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    • 2018
  • A precision tribometer consisting of a cantilever was designed to measure frictional forces in the micro-Newton range. As frictional forces are measured based on the bending of the cantilever, vibration of the cantilever is the most significant factor affecting the quality of the friction measurement. Therefore, improved design of the tribometer with double cantilevers and a connecting plate that united the two cantilevers mechanically was suggested. For the verification of the modified design of the tribometer, numerical analysis and experiments were conducted. Examination using the finite element method revealed that the tribometer with a double cantilever and a connecting plate exhibited faster damping characteristics than the tribometer with a single cantilever. In the experiment, effectiveness of the double cantilever and connecting plate for vibration reduction was also confirmed. Vibration of the tribometer with double cantilever decreased eight times faster than that of the tribometer with a single cantilever. The faster damping of the double cantilever design is attributed to the mechanical interaction at the contacting surfaces between the cantilever and the connecting plate. Tribotesting using the tribometer with a single cantilever resulted in random fluctuation of frictional forces due to the stick-slip behavior. However, using the tribometer with a double cantilever and connecting plate for the tribotest gave relatively uniform and steady measurement of frictional forces. Increased stiffness owing to using a double cantilever and mechanical damping of the connecting plate were responsible for the stable friction signal.

Exploiting Patterns for Handling Incomplete Coevolving EEG Time Series

  • Thi, Ngoc Anh Nguyen;Yang, Hyung-Jeong;Kim, Sun-Hee
    • International Journal of Contents
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    • 제9권4호
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    • pp.1-10
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    • 2013
  • The electroencephalogram (EEG) time series is a measure of electrical activity received from multiple electrodes placed on the scalp of a human brain. It provides a direct measurement for characterizing the dynamic aspects of brain activities. These EEG signals are formed from a series of spatial and temporal data with multiple dimensions. Missing data could occur due to fault electrodes. These missing data can cause distortion, repudiation, and further, reduce the effectiveness of analyzing algorithms. Current methodologies for EEG analysis require a complete set of EEG data matrix as input. Therefore, an accurate and reliable imputation approach for missing values is necessary to avoid incomplete data sets for analyses and further improve the usage of performance techniques. This research proposes a new method to automatically recover random consecutive missing data from real world EEG data based on Linear Dynamical System. The proposed method aims to capture the optimal patterns based on two main characteristics in the coevolving EEG time series: namely, (i) dynamics via discovering temporal evolving behaviors, and (ii) correlations by identifying the relationships between multiple brain signals. From these exploits, the proposed method successfully identifies a few hidden variables and discovers their dynamics to impute missing values. The proposed method offers a robust and scalable approach with linear computation time over the size of sequences. A comparative study has been performed to assess the effectiveness of the proposed method against interpolation and missing values via Singular Value Decomposition (MSVD). The experimental simulations demonstrate that the proposed method provides better reconstruction performance up to 49% and 67% improvements over MSVD and interpolation approaches, respectively.

A study on object recognition using morphological shape decomposition

  • Ahn, Chang-Sun;Eum, Kyoung-Bae
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 1999년도 춘계종합학술대회
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    • pp.185-191
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    • 1999
  • Mathematical morphology based on set theory has been applied to various areas in image processing. Pitas proposed a object recognition algorithm using Morphological Shape Decomposition(MSD), and a new representation scheme called Morphological Shape Representation(MSR). The Pitas's algorithm is a simple and adequate approach to recognize objects that are rotated 45 degree-units with respect to the model object. However, this recognition scheme fails in case of random rotation. This disadvantage may be compensated by defining small angle increments. However, this solution may greatly increase computational complexity because the smaller the step makes more number of rotations to be necessary. In this paper, we propose a new method for object recognition based on MSD. The first step of our method decomposes a binary shape into a union of simple binary shapes, and then a new tree structure is constructed which ran represent the relations of binary shapes in an object. finally, we obtain the feature informations invariant to the rotation, translation, and scaling from the tree and calculate matching scores using efficient matching measure. Because our method does not need to rotate the object to be tested, it could be more efficient than Pitas's one. MSR has an intricate structure so that it might be difficult to calculate matching scores even for a little complex object. But our tree has simpler structure than MSR, and easier to calculated the matchng score. We experimented 20 test images scaled, rotated, and translated versions of five kinds of automobile images. The simulation result using octagonal structure elements shows 95% correct recognition rate. The experimental results using approximated circular structure elements are examined. Also, the effect of noise on MSR scheme is considered.

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Effect of UV Irradiation and Rebamipide on the Blood Flow and Viability of Rabbit Skin Flap

  • Suh, Eung-Joo;Choi, Hyoung-Chul;Sohn, Uy-Dong;Ha, Jeoung-Hee;Lee, Kwang-Youn;Kim, Won-Joon
    • The Korean Journal of Physiology and Pharmacology
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    • 제1권5호
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    • pp.581-589
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    • 1997
  • This study was undertaken to examine the effects of ultraviolet light (UVL) and rebamipide on the cutaneous blood flow and tissue survival on rabbit skin flap. In a random bipedicle flap, Laser Doppler Flowmetry (LDF) was employed to measure the blood flow of flap (BFF). Wound Margin Strength (WMS) measured by force transducer and Light microscophy were used for evaluation of tissue viability. Single exposure to UVL increased the BFF gradually for more than 15 hours, and decreased the vasoconstrictor effect of intravenous phenylephrine. The UVL-induced increase in BFF regressed after 18 hours of irradiation, and this regression was tended to be enhanced by intradermal injection of L-NAME, a nitric oxide synthase (NOS) inhibitor, but the regression was significantly reversed by acetylcholine, an endothelial constitutive NOS (cNOS) activator and L-arginine, an NO precusor. Rebamipide, a novel antiulcer agent known to scavenge the hydroxyl radical, abruptly reversed the spontaneous regression of the UVL- induced increase in BFF by the same manner as L-arginine. In ischemic skin flap, rebamipide increased the BFF abruptly by the same manner as sodium nitroprusside (SNP), an NO doner, while N-acetylcystein (NAC), a free radical scavenger, gradually increase the BFF. The rebamipide-induced increase in BFF was sustained at the level of the SNP-induced increase in BFF during the late period of experiment. Rebamipide increased the WMS of skin flaps and prevented the tissue necrosis in comparison with L-NAME. Based on these results, it is concluded that in rabbit skin, UVL irradiation increases the BFF by NO release, and rebamipide exerts a protective effect on the viability of ischemic skin flaps by either or both the increase in BFF by NO release and free radical scavenger effect.

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Reactor Neutron Activation Analysis by a Single Comparator Method

  • Lee, Chul
    • Nuclear Engineering and Technology
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    • 제5권2호
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    • pp.137-149
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    • 1973
  • 중성자 방사화 및 방사능 계측에 관계하는 핵데타를 세밀히 연구검토하여 망간을 불순물로 함유하고 있는 철선을 단일비교체로 한 중성자 방사화분석법을 발전시켰다. 유효반응 단면적의 변화를 원자로 내부 스펙트럽의 열외 중성자의 비율과 같은 스펙트럼 지표 및 그 외 다른 변수의 함수로 검토하였으며 조사위치에서 중성자 스펙트럽의 변위로 생기는 오차를 토의하였다. 각원소의 이미 아는양을 취하여 단일비교체와 함께 조사한 다음 본법에 의해서 그 함량을 산출하여서 원래 취한 양과 비교하였다. 그 결과 우연오차는 일반적인 비교법으로 얻은 오차보다 크지 않았으나 계통적 오차는 대략 20%이내였다. 본법을 모나자이트 중에 함유된 14개 희토류 원소의 정량과 표준배추시료 중에 있는 다른 7개의 원소정량에 적용하였다. 그 결과 분석치는 만족할만한 재현성을 나타내었으며 종래의 비교법으로 얻을 수 있는 정도의 정착성으로 이들 원소를 분석할 수 있었다.

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Do Low Self-Esteem and High Stress Lead to Burnout Among Health-Care Workers? Evidence From a Tertiary Hospital in Bangalore, India

  • Johnson, Avita R.;Jayappa, Rakesh;James, Manisha;Kulnu, Avono;Kovayil, Rajitha;Joseph, Bobby
    • Safety and Health at Work
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    • 제11권3호
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    • pp.347-352
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    • 2020
  • Background: Low self-esteem can be an issue among health-care workers due to the hierarchical medical system. Health-care workers are also in a high pressure environment that can lead to stress and burnout. This study was conducted to estimate the proportion of health-care workers with low self-esteem, high stress, and burnout and the factors associated with these in a private hospital in Bangalore city. Methods: This cross-sectional study included a random sample of health-care workers of various cadres - doctors, nurses, nursing aides, technicians, and workers in ancillary departments such as laundry, dietary, central sterile supply department, and pharmacy, with probability proportional to size. Rosenberg Scale for Self-esteem, Cohen's Perceived Stress Scale, and Shirom-Melamed Burnout Measure were used as study tools. Results: Among the 306 health-care workers, there were high levels of low self-esteem (48.4%), stress (38.6%), and burnout (48.7%), with the lowest levels being among doctors. Those aged younger than 30 years had significantly lower self-esteem and greater stress. Conclusions: Health-care workers with low self-esteem were nearly thrice more likely to suffer high stress, Odds Ratio (OR) = 2.84 (1.36-5.92), and those who were stressed had more than three times higher chance of experiencing burnout, OR = 3.6 (2.02-6.55). Path analysis showed that low self-esteem among health-care workers had a direct effect on burnout, as well as an indirect effect through stress (mediator variable). This study indicates the need for screening and counseling for low self-esteem, stress, and burnout as part of a periodic medical examination of all cadres of health workers.