نتایج جستجو برای: mfa tio2uv

تعداد نتایج: 858  

2006
Yosuke Uto Yoshihiko Nankaku Tomoki Toda Akinobu Lee Keiichi Tokuda

This paper describes the voice conversion based on the Mixtures of Factor Analyzers (MFA) which can provide an efficient modeling with a limited amount of training data. As a typical spectral conversion method, a mapping algorithm based on the Gaussian Mixture Model (GMM) has been proposed. In this method two kinds of covariance matrix structures are often used : the diagonal and full covarianc...

ژورنال: طب کار 2014

Background: One of the most main jobs in the automotive industries is assembly that its activities include hand motions, navigation of pieces and using controlled forces for joining of them together. Awkward posture is one of the most important risk factors in incidence of musculoskeletal disorders. There are different methods to assess those factors. This study was conducted to illustrate the ...

1997
Hairong Qi Wesley E. Snyder Griff L. Bilbro

Anisotropic diffusion is a powerful method for image feature extraction in which blurring is allowed to occur except at edges. Mean field annealing (MFA) is an image optimization technique which is used to find the best estimation of a blurred, noisy corrupted image. In this paper, we will show that MFA is versatile enough to be used for image feature extraction as well. Furthermore, the two ma...

سهرابی, زهرا, صالحی, زهرا, صالحی, کبری,

Abstract Background & Aim: Maternal-Fetal Attachment (MFA) is one of the most important components in achieving motherhood identity. One of the recommended interventions in this regard is to consider fetal movement. Therefore, the present study evaluated the effect of education of fetal movement counting during the second and the third trimesters of pregnancy on MFA in first-time pregnant wome...

2010
Xuewen Chen Ana P. Alonso Doug K. Allen Jennifer L. Reed Yair Shachar-Hill

Genome-based Flux Balance Analysis (FBA) and steady-state isotopic-labeling-based Metabolic Flux Analysis (MFA) are complimentary approaches to predicting andmeasuring the operation and regulation ofmetabolic networks. Here, genome-derivedmodels of Escherichia coli (E. coli)metabolismwere used for FBA and C-MFA analyses of aerobic and anaerobic growths of wild-type E. coli (K-12 MG1655) cells. ...

Journal: :Neural computation 2014
Sagi Perel Andrew B. Schwartz Valérie Ventura

Corticomotoneuronal cells (CMN), located predominantly in the primary motor cortex, project directly to alpha motoneuronal pools in the spinal cord. The effects of CMN spikes on motoneuronal excitability are traditionally characterized by visualizing postspike effects (PSEs) in spike-triggered averages (SpTA; Fetz, Cheney, & German, 1976; Fetz & Cheney, 1980; McKiernan, Marcario, Karrer, & Chen...

The Economic Load Dispatch (ELD) problems in power generation systems are to reduce the fuel cost by reducing the total cost for the generation of electric power. This paper presents an efficient Modified Firefly Algorithm (MFA), for solving ELD Problem. The main objective of the problems is to minimize the total fuel cost of the generating units having quadratic cost functions subjected to lim...

1994
Ismail Haritaoglu Cevdet Aykanat

A new Mean Field Annealing MFA formulation is proposed for the mapping problem for mesh connected architectures The proposed MFA heuristic exploits the conventional routing scheme used in mesh in terconnection topologies to introduce an e cient encoding scheme An e cient implementation scheme which decreases the complexity of the proposed algorithm by asymptotical factors is also developed Expe...

2010
Ivana LUKÁČOVÁ Jana BORŽÍKOVÁ

The aim of this paper is to analyse the dynamic properties of a Model Free Adaptive (MFA) Control, Model Predictive Control (MPC) and Proportional–Integral–Derivative (PID) Control. Usually the PID-Control as standard control method is still used in industry. From more advanced control methods MPC is used the most frequently. Properties of the MFA controller, MPC controller and the classic PID ...

2013
Hervé Abdi Lynne J. Williams

Multiple factor analysis (MFA, also called multiple factorial analysis) is an extension of principal component analysis (PCA) tailored to handle multiple data tables that measure sets of variables collected on the same observations, or, alternatively, (in dual-MFA) multiple data tables where the same variables are measured on different sets of observations. MFA proceeds in two steps: First it c...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید