General examples of problems that can and cannot be solved with MapReduce have been discussed in a number of sources but the requirements for effective use of MapReduce are not clear. This paper takes the appro
Algorithm for estimating the voice quality with an analysis of the characteristics of effective packet loss based on wavelet transform [Algoritm ocenki kachestva peredachi rechi s analizom harakteristik jeffektivnyh poter' paketov na osnove vejvlet-preobrazovanija]...
At the same time, the scoring data of nodes were downloaded and the hub genes were identified by weighting algorithm in the Cytoscape. Next, univariate Cox regression analysis was run to judge the prognostic value of PRGs and P < 0.05 is considered to be a meaningful result. The R ...
43. However, few studies have used the network-based approach to examine training effects for the conceptual integration of multi-dimensional components that comprise empathic communication42,43. Therefore, using a graph theory approach for the Ising model-based empathic communication network, this study...
the Monge–Ampère (MA) equation, for which we present a general method of determining the location and number of required boundary conditions. We solve the systems of ODEs using explicit one-step methods (Euler, Runge-Kutta) and spline interpolation. Reformulation of the Monge–Ampère equation ...
The characteristics of the different blocks which are optimized using the ADS optimization routine are IIP3, 1 dB compression point (P-1 dB), and noise figure (NF). The optimization algorithm is based on an iterative optimizer named Gradient optimizer. It uses the gradient search method and the...
For the first time, an efficient algorithm is developed to accurately calculate the spheroidal functions. Based on it, the MATLAB code with high accuracy and efficiency is developed to analyze the propagation characteristics of confocal waveguide. The calculated results and the QPF results are ...
Aci et al. (2010) applied a hybrid classification combining K-Nearest Neighbor (KNN) method, Bayesian method with genetic algorithm to generate a new dataset based on the given data, and used the newly expanded dataset to better classify the original dataset. Kubota et al. (2008) proposed a...
Pore structure of oil and gas reservoirs[M]. Beijing:Science Press. (in Chinese) Google Scholar MAO H H, WANG F H, CHEN C K, et al., 2012. Research and analysis of several CT image segmentation algorithm[J]. Computer and Digital Engineering, 40(1):101-103, 108. (in Chinese ...
Spatial clustering characteristics of networks To analyze the spatial clustering features, we initially employ the Concor Algorithm (Iterative Correlation Convergence) within the Ucinet software for cluster analysis of the urban innovation correlation network. This analysis effectively partitions the urban innov...