نتایج جستجو برای: intake manifold model

تعداد نتایج: 2226208  

2016
Jonas N. Myhre Michael Kampffmeyer Robert Jenssen

In this work we present two examples of how a manifold learning model can represent the complexity of shape variation in images. Manifold learning techniques for image manifolds can be used to model data in sparse manifold regions. Additionally, they can be used as generative models as they can often better represent or learn structure in the data. We propose a method of estimating the underlyi...

Journal: :Computer Methods in Applied Mechanics and Engineering 2013

Journal: :Australian Journal of Physics 1974

2008
Julia H. Buckland Mrdjan Jankovic J. W. Grizzle J. S. Freudenberg

Feedforward A/F control in turbocharged gasoline engines with variable valve timing requires knowledge of exhaust manifold pressure, Pe. Physical conditions in the manifold make measurement costly, compelling manufacturers to implement some form of on-line estimation. Processor limitations and the calibration process, however, put constraints on estimator complexity. This paper assesses the fea...

2008
John C. Baez

For any subgroup G ⊆ O(n), define a G-manifold to be an n-dimensional Riemannian manifold whose holonomy group is contained in G. Then a G-manifold where G is the Standard Model gauge group is precisely a Calabi–Yau manifold of 10 real dimensions whose tangent spaces split into orthogonal 4and 6-dimensional subspaces, each preserved by the complex structure and parallel transport. In particular...

2006
Benny Paul

This paper discusses the predicted flow structure inside the cylinder with threedimensional modeling of incylinder flow field with 225 spiral port having three different entry angles (20,32.5 and 45) and at 3000 rpm. Swirl velocities and turbulence inside the cylinder during suction and compression stroke under motoring conditions have been compared. The turbulence is modeled using RNG k-ε mode...

Journal: :Siam Journal on Imaging Sciences 2022

We show that deep ReLU neural network classifiers can see a low-dimensional Riemannian manifold structure on data. Such comes via the \sl local data matrix, variation of Fisher information where role model parameters is taken by variables. obtain foliation domain, and we dataset which trained lies leaf, whose dimension bounded number classification labels. validate our results with some experim...

جلالی فراهانی, سارا, صبور, سیامک, فرین, نازیلا, پیروزپناه, سعید, طالبان, فروغ اعظم, عطری, مرتضی, مهدیپور, پروین, هوشیارراد, آناهیتا, کریمیان خسروشاهی, نادر ,

  Background: Inadequate folate intake could be associated with increased breast cancer risk. The aim of the present study was to assess the folate intake by designed Food Frequency Questionnaire (FFQ) using plasma folate concentration.   Methods: This analytic cross-sectional study was conducted to evaluate the validity of the semi-quantitative FFQ (136 items) in 152 women with confirmed breas...

In this paper, technique for order of preference by similarity to ideal solution(TOPSIS) method is used to find the best compromising design of intake manifold for a 3-cylinder engine considering mean value of torque, torque at 3500 rpm, mean value of brake mean specific consumption (BSFC) and BSFC at 3500 rpmas four objective functions. To calculate the objective functions, engine simulation i...

Journal: :Journal of Differential Equations 1998

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