통행(Trip)은 다양한 공간과 시간 속에 존재하는 사회경제활동에 참여하기 위하여 파생적으로 발생된 부산물이다. 따라서 교통 시설물 계획 및 설계 등에 중요한 기초자료가 되는 통행수요(Travel Demand)의 신뢰를 향상하기 위해서는 사회경제활동의 부산물인 통행보..
Kernel: In machine learning, kernel methods are a class of algorithms for pattern analysis, whose best ... Regression: In statistical modeling, regression analysis is a set of statistical processes for estimating ... In its simplest form, the kernel trick means transforming data into another dimension that has a clear
Parameter estimates (beta values) and t-statistic images were calculated for each subject. ... Gaussian kernel smoothed the normalized echo-planar imaging data. ... The images were spatially normalized, spatially smoothed with a Gaussian kernel of 10mm and temporally
본 논문에서는 요소를 사용하지 않은 수치해석기법인 무요소법 중에서 다중해상도(multi-resolution)특성이 내재되어 있는 Reproducing Kernel Particle Method ... high scale component of von Mises stress
indicates the rugh stress gradient region without posterio디 estimation
estimates of capture frequency and checked seasonal differences in daily activity patterns by analyzing ... We described the daily activity patterns of Formosan sika deer in each season by analyzing kernel density
흰뺨검둥오리의 행동권 분석은 GIS용 SHP 파일과 ArcGIS 9.x Animal Movement Extension을 이용하였으며, 커널밀도측정법(Kernel Density Estimation ... We analyzed the tracking location data using ArcGIS 9.x and calculated Kernel Density Estimation (KDE
청둥오리 행동권 분석은 GIS용 SHP 파일과 ArcGIS 9.0 Animal Movement Extension을 이용하였으며, 커널밀도측정법(Kernel Density Estimation ... We analyzed the tracking location data using ArcGIS 9.0 and calculated Kernel Density Estimation (KDE
Mean home range sizes of the 14 frequently observed kestrels were estimated using two different methods ... (minimum convex polygon (MCP) method and fixed kernel (FK) method): 34.49 ㏊(2.74–163.96 ㏊) by 100% MCP ... The mean home range size was larger for males than for females estimated at 51.50 ㏊(15.04–163.96 ㏊) and
The final phases of these particles were estimated as a mixture of and . ... prepared by SOL-GEL method, so-called GSP (Gel supported precipitation) process, were investigated for kernel
The frequency domain Volterra kernels, which correspond io linear, quadratic, and cubic transfer functions ... The error is defined by the difference between the observed output and the estimated output which is ... Volterra model guarantees enough accuracy and convergence and the estimated coefficients have a good
표준 편차 값이 인 Gaussian smoothing kernel을 이용하여 샘플들의 평균인 의 값을 구한다. ... Robust Estimation of the Fundamental Matrix I. ... Robot Vision Project Assignment #2 (Robust Estimation of Epipolar Geometry) P1.
This paper estimates management efficiency of the citrus farms using non-parametric DEA. ... With a Kernel density function, we depict the management efficiency distribution of citrus farms over
density estimation), LoCoH(local nearest-neighbor convex-hull). ... KDE 분석에서 띠폭에 해당하는 h값을 1000m, CVh, LSCVh로 달리하여 KDE 등치선을 생성하였을 때, 핵심지역에 해당하는(Kernel 50% 이상) 면적은 33.3km2 ... japonensis) in Cheorwon, Korea by using analysis techniques which are MCP(minimum convex polygon), KDE(kernel
In particular, the temporal allocation factor for the ozone modeling at point sources was estimated based ... speciation of source profiles according to the source classification code within the sparse matrix operator kernel