• Title/Summary/Keyword: density function

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Jackknife Kernel Density Estimation Using Uniform Kernel Function in the Presence of k's Unidentified Outliers

  • Woo, Jung-Soo;Lee, Jang-Choon
    • Journal of the Korean Data and Information Science Society
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    • v.6 no.1
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    • pp.85-96
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    • 1995
  • The purpose of this paper is to propose the kernel density estimator and the jackknife kernel density estimator in the presence of k's unidentified outliers, and to compare the small sample performances of the proposed estimators in a sense of mean integrated square error(MISE).

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Halo interactions in the Horizon run 4 simulation

  • L'Huillier, Benjamin;Park, Changbom;Kim, Juhan
    • The Bulletin of The Korean Astronomical Society
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    • v.39 no.2
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    • pp.46-46
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    • 2014
  • Interactions such as mergers and flybys play a fundamental role in shaping galaxy morphology. We used the Horizon Run 4 cosmological N-body simulations to study the frequency and the type of halo interactions as a function of the environment, the separation p, the mass ratio q, and the target halo mass. We defined targets as haloes more massive than 10^11 Msun/h, and a target is interacting if it is located within the virial radius of a neighbour halo more massive than 0.4 times the target mass. We find that the interaction rate as a function of time has a universal shape for different halo mass and large-scale density, with an increase and saturation. Larger density yield steeper slopes and larger final interaction rates, while larger masses saturate later. Most interactions happen at large-scale density contrast ${\delta}$ about 10^3, regardless of the redshift. We also report the existence of two modes of interactions in the (p,q) plane, reflecting the nature (satellite or main halo) of the target halo. These two trends strongly evolve with redshift, target mass, and large-scale density. Interacting pairs have similar spins parameters and aligned spins, with radial trajectories, and prograde encounters for non-radial trajectories. The satellite trajectories become less and less radial as time proceed. This effect is stronger for higher-mass target, but independent of the large-scale density.

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ECG Denoising by Modeling Wavelet Sub-Band Coefficients using Kernel Density Estimation

  • Ardhapurkar, Shubhada;Manthalkar, Ramchandra;Gajre, Suhas
    • Journal of Information Processing Systems
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    • v.8 no.4
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    • pp.669-684
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    • 2012
  • Discrete wavelet transforms are extensively preferred in biomedical signal processing for denoising, feature extraction, and compression. This paper presents a new denoising method based on the modeling of discrete wavelet coefficients of ECG in selected sub-bands with Kernel density estimation. The modeling provides a statistical distribution of information and noise. A Gaussian kernel with bounded support is used for modeling sub-band coefficients and thresholds and is estimated by placing a sliding window on a normalized cumulative density function. We evaluated this approach on offline noisy ECG records from the Cardiovascular Research Centre of the University of Glasgow and on records from the MIT-BIH Arrythmia database. Results show that our proposed technique has a more reliable physical basis and provides improvement in the Signal-to-Noise Ratio (SNR) and Percentage RMS Difference (PRD). The morphological information of ECG signals is found to be unaffected after employing denoising. This is quantified by calculating the mean square error between the feature vectors of original and denoised signal. MSE values are less than 0.05 for most of the cases.

Effects of element composition in soil samples on the efficiencies of gamma energy peaks evaluated by the MCNP5 code

  • Ba, Vu Ngoc;Thien, Bui Ngoc;Loan, Truong Thi Hong
    • Nuclear Engineering and Technology
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    • v.53 no.1
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    • pp.337-343
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    • 2021
  • In this work, self-absorption correction factor related to the variation of the composition and the density of soil samples were evaluated using the p-type HPGe detector. The validated MCNP5 simulation model of this detector was used to evaluate its Full Energy Peak Efficiency (FEPE) under the variation of the composition and the density of the analysed samples. The results indicates that FEPE calculation of low gamma ray is affected by the composition and the density of soil samples. The self-absorption correction factors for different gamma-ray energies which was fitted as a function of FEPEs via density and energy and fitting parameters as polynomial function for the logarithm neper of gamma ray energy help to calculate quickly the detection efficiency of detector. Factor Analysis for the influence of the element composition in analysed samples on the FEPE indicates the FEPE distribution changes from non-metal to metal groups when the gamma ray energy increases from 92 keV to 238 keV. At energies above 238 keV, the FEPE primarily depends only on the metal elements and is significantly affected by aluminium and silicon composition in soil samples.

A Study on the Availability Modelling and Assessment with Failure Density Function of Major Equipment for a Sewage Treatment Plant (하수처리장 주요 기자재의 고장확률밀도함수를 이용한 가용도 모델링 및 평가에 관한 연구)

  • Lee, Hong-Cheol;Kwak, Pilljae;Lee, Hyundong;Hwang, In-Ju
    • Journal of Korean Society of Environmental Engineers
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    • v.35 no.11
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    • pp.763-768
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    • 2013
  • The simulation investigation on the availability with failure density function of major equipment for a sewage treatment plant has been carried out. This study focuses on the availability of the plant and criticality with equipment module induced by component layout and its failure function. The equipment classification of sewage treatment plant and its failure function are established. Also solution methodologies are introduced as Monte-Carlo simulation method and event algorithm for uncertainty problem. The availability in the case of serial connection of equipment with all exponential function is calculated as around 50.4%. In other case of parallel combination with back up equipment, the availability showed over 80.1%. The criticality that a ffects availability showed high value over 77% in the dehydration and concentration process of sludge.

The Tire Damage Classification by Pulse Interval Time Density Function of Ultrasonic Wave Envelope on Driving (주행 중 타이어 손상에 의해 발생하는 초음파 포락선 신호의 펄스 간격 시간밀도함수에 의한 손상 분별)

  • Shin, Seong-Geun;Kang, Dae-Soo
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.11 no.3
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    • pp.41-46
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    • 2011
  • The tire damage classification method is researched by periodicity detection of ultrasonic envelope signals to occur at the driving vehicle tire. Because periodic signals is generated by rotations of the damaged tire, it should convert to pulse for using the density function. After time intervals of pulses are represented by the density function, the dominant periodicity is detected. The threshold to make a pulse is calculated by moving average of envelope signals. The result of time density function in case of one damage material, the first peak's time is equals to tire's rotation period, 162ms and 102ms, about the speed of 50km/h and 80km/h. In case of more than one damage material, the sum of each peak's time is equals to tire's rotation period about the speed.

The Change of the Important Blood Factors According to the Recovery of Motor Function with Ischemic Stroke Patients (허혈성 뇌졸중 환자의 운동기능회복에 따른 중요 혈액인자들의 변화)

  • Kim, Myung-Chul
    • Journal of Korean Physical Therapy Science
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    • v.15 no.2
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    • pp.1-13
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    • 2008
  • Background: This study had been carried out with 18 ischemic stroke patients as its object for about eight months from October, 2006 to May, 2007 in order to observe the recovery of motor function and the change of important blood factors according to the different quantitative exercises. Methods: Subjects were assigned randomly either experimental group (n=19) or the control group (n=19), when the study began the halfway on this study dropout 20 patients, and final subjects remained experimental group's 9 patients and control group's 9 patients. Both groups received thermotherapy and functional electrical stimulation (FES), also taken different quantitative exercise therapy (experimental group 180 minutes, control group 80 minutes). Subjects were assessed for upper and lower extremities motor function Fugl-Meyer Scale; FMS), blood test (white blood count; WBC, low density lipoprotein -cholesterol; LDL-C, high density lipoprotein-cholesterol; HDL-C, Troponin) during pretest, after 2 months, after 3 months. Results: The results of this study were as follows; 1. FMS has no statistically significant difference with intergroup(p>.05). But there was a statistically significant difference with each groups (p<.05). 2. WBC has no statistically significant difference with intergroup (p>.05). But there was a statistically significant difference in control group (p<.05), without experimental group (p>.05). 3. LDL-C has no statistically significant difference with intergroup (p>.05). But there was a statistically significant difference in control group (p<.05), without experimental group (p>.05). 4. HDL-C has no statistically significant difference with intergroup (p<.05). But there was a statistically significant difference with each groups (p>.05). 5. Troponin Ⅰ has no statistically significant difference with intergroup (p>.05). Also there was no statistically significant difference with each groups (p>.05). Conclusion: These findings suggest that different quantitative exercises has no effect on FMS, LDL-C, HDL-C, WBC, Troponin Ⅰ with ischemic stroke patients. But the treatment period that there's less correlation between the recovery of motor function and the different quantitative exercise, also less correlation between the change of important blood factors and the different quantitative exercises with ischemic stroke patients.

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Estimation of ecological flow rate for Zacco platypus based on habitat suitability index considering probability density function (확률밀도함수를 고려한 서식처 적합도 지수에 의한 피라미 생태유량 산정)

  • Jang, Kyeung Ho;Park, Young Ki;Kang, Jae Il;Kim, Min Hwan
    • Journal of Korea Water Resources Association
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    • v.51 no.3
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    • pp.207-219
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    • 2018
  • In this study, the ecological flow rate of the Zacco playtypus habitat was simulated based on the Instream Flow Incremental Methodology (IFIM) in reachs of urban and natural stream using the habitat suitability index (HSI) of the probability density function (PDF). To apply this method, PHABSIM model was used in this study. However, in this study, the HSI of the probability density function was developed by adjusting the parameters of the PDF based on Kang (2010) HSI. As a result, the normal distribution is closest to the ecological flow rate of the Kang (2010) in the urban stream. However, the two-parameter log-pearson distribution tended to be the closest in the natural stream. The ecological flow rate was simulated by the HSI and the reach of stream with the PDF. Based on the comparison of simulation results, we propose an ecological flow rate estimation method using probabilistic method.

Geothermal Potential Mapping in Jeju Island Using Fuzzy Logic Based Data Integration (퍼지기반 공간통합에 의한 제주도의 지열 부존 잠재력 탐사)

  • Baek Seung-Gyun;Park Maeng-Eon
    • Korean Journal of Remote Sensing
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    • v.21 no.2
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    • pp.99-111
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    • 2005
  • A fuzzy logic based data integration was applied for geothermal potential mapping in Jeju Island. Several data sets, such as geological map, the density of drainage system, the distribution density of cinder cones, density of lineaments, aerial survey map for total magnetic intensity and total gamma ray, were collected as thematic map for the integration. Fuzzy membership function for all thematic maps were compared to the locations of the spa, which were used as ground-truth control points. The older geology, the lower density of drainage, cinder cones and lineaments, and the lower intensity of magnetic and gamma ray were showed the higher fuzzy membership function values, respectively. After integrating all thematic maps, the results of gamma operator with the gamma value of 0.75 was the highest success rate, and new geothermal potential zone is prospected in western north part of Jeju Island.