Although three-dimensional space NRxx(3D-NRxx) method[1] has some useful numerical properties and is valid for big Knudson number, its high computational cost results limited applications. Based on the idea of limitting three-dimensional space Boltzmann equation on two-dimensional space[2], we apply 3D-NRxx method on two-dimensional space, to get two-dimensional NRxx(2D-NRxx) method. In order t...

Recently, a new technique called 2-dimensional principal component analysis (2DPCA) was proposed for face representation and recognition. The main idea behind 2DPCA is that it is based on 2D matrices as opposed to the standard PCA, which is based on 1D vectors. Although 2DPCA obtains higher recognition accuracy than PCA, a vital unresolved problem of 2DPCA is that it needs many more coefficient...

Porosity is one of the key parameters associated with oil reservoirs. Determination of this petrophysical parameter is an essential step in reservoir characterization. Among different linear and nonlinear prediction tools such as multi-regression and polynomial curve fitting, artificial neural network has gained the attention of researchers over the past years. In the present study, two-dimensi...

A novel and uniform framework for face verification is presented in this paper. First of all, a 2-directional 2-dimensional feature extraction method is adopted to extract client-specific template — 2D discrimant projection matrix. Then the face skin color information is utilized as an additive feature to enhance decision making strategy that makes use of not only 2D grey feature but also 2D sk...

We report a comprehensive study of the two-phonon intervalley (2D) Raman mode in graphene monolayers, motivated by recent reports of asymmetric 2D-mode line shapes in freestanding graphene. For photon energies in the range 1.53-2.71 eV, the 2D-mode Raman response of freestanding samples appears as bimodal, in stark contrast with the Lorentzian approximation that is commonly used for supported m...

The task of three-dimensional (3D) human pose estimation from a single image can be divided into two parts: (1) Two-dimensional (2D) human joint detection from the image and (2) estimating a 3D pose from the 2D joints. Herein, we focus on the second part, i.e., a 3D pose estimation from 2D joint locations. The problem with existing methods is that they require either (1) a 3D pose dataset or (2...

OBJECTIVE To compare the determination of stroke volume (SV) and cardiac output (CO) using 2-dimensional (2D) versus 3-dimensional (3D) transesophageal echocardiography (TEE). DESIGN Prospective observational study. SETTING Tertiary care university hospital. PARTICIPANTS 35 patients without structural valve abnormalities undergoing isolated coronary artery bypass grafting. INTERVENTIONS...

BACKGROUND The shape of right ventricular outflow tract (RVOT) has been assumed to be circular. The aim of this study was to assess RVOT morphology using 3-dimensional transesophageal echocardiography (3D TEE). METHODS AND RESULTS This prospective study included 114 patients who underwent 3D TEE. Two-dimensional (2D) TEE measured maximum and minimum RVOT diameters (RVOTD max and min) during a...

the purpose of this paper is the generalization of structure factor for rods by polygon section in two dimensional phononic crystals. if we use the plane wave expansion method (pwe) for the propagation of acoustic waves in 2d phononic crystals, structure factor will be an important quantity. in order to confirm the obtained relations, we have calculated the band structure for xy and z vibration...

Motivated by recent experimental synthesis of a semiconducting metal-organic graphene analogue (J. Am. Chem. Soc., 2014, 136, 8859), i.e., Ni3(2,3,6,7,10,11-hexaiminotriphenylene)2 [Ni3(HITP)2], a new Kagome lattice, Cu3(HITP)2, is designed by substituting the coordination of Ni by Cu. Such substitution results in interesting changes in electronic properties of the M3(HITP)2 bulk and two-dimens...