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In recent years, the hot spring industries experience rapid growths that dramatically increase the withdrawals of hot spring water. This study collected from 2011 to 2012 between the in situ data, monitoring data and to analyze and construct the hot springs area hydrogeological conceptual model using MODFLOW software on groundwater flow model three-dimensional simulations, in order to meet situ hydrogeological...
The ion selectivity of nanochannel due to the wall surface charges is capable of inducing strong coupling between fluidic and ionic motion within the system, which has been overlooked in the study of nanofluidics. This interaction opens up the prospect of operating nanochannel as nanoscale devices for electrokinetic energy conversion. However, the very short channel lengths make the ionic movement...
Representation of soft tissues in virtual reality environments has been focused by researchers with applications including training medical students and surgeons, treatment planning, monitoring and telesurgery. A major challenge of current modeling schemes such as Boundary Element, Finite Element, and Mass-Spring Models is to deal with volume preserving. Another challenge is the complexity of a model...
Usually the design of a monopole antenna is with symmetric on a larger ground plane for higher antenna overall efficiency. Unfortunately, in many communication devices, such as Z-wave, the overall size of the device is not only limited but also the geometry of antenna is distorted. In this paper, a monopole antenna is designed for a device with size 65mm × 38.5mm × 85mm at a frequency of 908 MHz ...
Poly-Si thin-film transistor (TFT) is the key building element for high-density 3D NAND Flash memory. Random grain boundary (GB) location and interface traps (Dit) density have been shown as the major root cause of variability [1]. However, with CNL pinned at midgap our previous model cannot adequately address experimental results - especially the cause of very low Vt TFT devices. In this work we...
Content-based vehicle retrieval in unconstrained environment plays an important role in surveillance system. However, due to large variations in viewing angle/position, illumination, and background, traditional vehicle retrieval is extremely challenging. We approach this problem in a different way by rectifying vehicles from disparate views into the same reference view and searching the vehicles based...
In this paper, we propose a robust algorithm for 3D object pose estimation from a single 2D image. The proposed pose estimation algorithm is based on modifying the traditional image projection error function to a sum of squared image projection errors weighted by their associated distances. By using an Euler angle representation, we formulate the energy minimization for the pose estimation problem...
In this paper, we propose a new geometrical two-erose-ring scattering model for the multiple-input multiple-output (MIMO) mobile-to-mobile (M2M) fading channels. In this model, the line-of-sight (LOS) and non-line-of-sight (NLOS) components are all considered. Based on the geometrical model, a reference model and the corresponding simulation model are derived. Their statistical properties such as...
A volume scattering model utilizing polarimetric SAR interferometry (PolInSAR) coherence is proposed. The new model is more adaptive and better fit for both forest and skew-oriented built-up areas. Thereby, a new model-based polarimetric decomposition scheme is developed. The advantage of the proposed method is demonstrated by E-SAR PolInSAR data. And comparison experiments show that better decomposition...
In medical imaging research, the three-dimensional (3-D) shape representation and analysis of anatomic structures using only a few parameters is an important issues, and can be applied to computer assisted diagnosis, surgical simulations, visualization, and many other medical applications. This paper proposes the representation of the shape surfaces of a simply connected 3-D object using spherical...
Successful liver surgery requires a clear understanding of the differences in liver shapes and vessel distribution in different individuals. Furthermore, in clinical medicine, there is a high demand for surgical assistance systems for individual patients. Therefore, we aim to segment the liver on the basis of the CT volume data, semi-automatically extract the vessels from the segmented livers and...
To achieve 3D kinematic analysis of artificial knee implants, 2D/3D registration technique, which uses X-ray fluoroscopic images and computer assisted design model of the knee implant, has been applied to clinical cases. In previous method, however, we had to set the initial pose of 2D/3D registration with manual operations, and that was one of the problems for practical clinical applications. In...
In this paper, based on the temperature calculation in block-level thermal model, a two-phase approach is proposed to reduce the final floorplan temperature by redistributing the white space in all the device layers and inserting the thermal vias onto the available white space. The experimental results show that our proposed approach reduces 5.5%, 11.3% and 20.5% of temperature on 100%, 110% and 120%...
In this paper, a statistical texture modeling method is proposed for medical volumes. As the shapes of the human organ are very different from one case to another, 3D volume morphing is applied to normalize all the volume datasets to a same shape for removing shape variations. In order to deal with the problems of high-dimension and small number of medial samples, we propose an effective image compression...
In medical imaging research fields, three-dimensional (3D) shape modeling and analysis of anatomic structures with fewer parameters is one of important issues, which can be used for computer assisted diagnosis, surgery simulation, visualization and many medical applications. The 3-D object shape or surface can be expressed by spherical harmonics. In this paper, we present a spherical harmonics based...
In this paper, we report our current progress results on computer assisted diagnostic (CAD) system, which consists of three units: database unit (statistical atlas of human anatomy), image processing unit (image enhancement, image segmentation, image registration), and visualization unit (volume rendering). In the database unit, we proposed a new method called generalized N-dimensional principal component...
A new method about reconstructing the finite element model of artificial knee joint is presented in this article after the research on reverse engineering (RE for short). Firstly, on the basis of the prosthesis prototype, IMAGEWARE and PRO/E are used to deal with point cloud of prototype and then prosthesis model is reconstructed; secondly, based on CT of human knee joint, distal femur (DF for short)...
Statistical shape model (SSM) is to model the shape variation of an object. In this paper, we propose an efficient shape representation method and a new 2D-PCA based statistical shape modeling. In our proposed method, we used the radii of these surface points as shape feature instead of their coordinates, and the shape is represented by a 2D matrices. We then apply 2D-PCA to construct a statistical...
Facial pose synthesis has many useful applications in practice. How to synthesize facial pose images robustly and simply is still a challenging problem. In this paper we proposed a tensor-based subspace learning method (TSL) that makes possible the synthesis of human multi-pose facial images from a single 2D image. We organize 2D multi-pose images in a tensor form and apply tensor decomposition to...
Face recognition is an important technology for managing security, human interface, and so on. Though face recognition techniques have been used in many fields, it still has several problems to be solved, such as robustness to variations of pose, illumination and expression. In this paper, we focus our research on pose-robustness and propose a pose-robust face recognition method based on 3D reconstruction...
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