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Radial Basis Function(RBF) mesh deformation method has been widely used in CFD simulations with moving boundaries due to its high robustness and accuracy. The original implementation of the RBF mesh deformation method in OpenFOAM(a widely used CFD software) is purely serial with relatively low computational performance. To reduce the time cost of the mesh motion in large-scale simulations, this paper...
In this paper, parallel multilevel characteristic basis function method (MLCBFM) has been hybridized with the randomized pseudo-skeleton approximation method (RSPA) and randomized singular value decomposition (rSVD) method, for the analysis of the scattering from electrically large rough surfaces. MLCBFM defines the Characteristic Basis Functions (CBFs) on a larger domain and thereby achieves a higher...
It has been demonstrated in the literature on Characteristic Basis Function Method (CBFM) that higher compression rate can be achieved by using larger blocks while carrying out domain decomposition in the context of CBFM [1]. However, the increased degrees of freedom (DOFs) in large domains make the generation of the Characteristic Basis Functions (CBFs) very time- and memory-consuming for the following...
Due to the independent sleep/wake scheduling of nodes in asynchronous wireless sensor networks (WSNs), a sender should send the same packet several times to make sure all the neighbor nodes can receive the packet in a broadcast process. Moreover, the order of the neighbor nodes receiving the packet has effect on the performance of broadcast. In this letter, we focus on the dynamics in the process...
Convolutional Neural Networks (CNNs) have substantially advanced the state-of-the-art accuracies of object recognition, which is the core function of a myriad of modern multimedia processing techniques such as image/video processing, speech recognition, and natural language processing. GPU-based accelerators gained increasing attention because a large amount of highly parallel neurons in CNN naturally...
Recently, due to the low accuracy of GPS in indoor environment, many indoor positioning techniques have been researched to provide location-based service for visitors in public buildings such as museums, galleries, etc. But many indoor positioning techniques cannot distinguish human's moving patterns and external infrastructures are needed to improve accuracy. In this paper, a Fuzzy Pedestrian Dead...
As we all know, the accuracy of GPS become worse indoors due to the satellite signal attenuation. However, people spend most of his or her time in the indoor environment and the location-based service is needed in the indoor environment. Hence, many indoor positioning techniques have been researched to provide location-based service for visitors in public buildings such as museums, galleries, etc...
Equipped with magnetic field sensor and accelerometer, smartphones offer a novel method for visitors in indoor environments (for example museums). However, this kind of method suffers from accumulated errors over time and high cost of external infrastructures. In this paper, we develop an innovative and low-cost indoor navigation system using various sensors in smartphone. This system consists of...
In recent decades, indoor positioning techniques have been researched to support automatic guidance for visitors in public buildings such as museums, galleries, etc. The exhibition goods nearby could be introduced by a smartphone after the location of the visitor has been acquired. This paper presents an indoor positioning scheme utilizing smartphones equipped with inertial and magnetic sensors. The...
A practical analysis procedure for estimation of the wind-induced root mean square acceleration response and the human comfort condition of tall buildings is presented in this paper. The modal wind-force time history curves and the corresponding power spectrum curves are first determined through analysis of the wind-pressure coefficient data obtained from the aerodynamic wind-tunnel model test and...
For vision SLAM, most of the current work focuses on employing point features as landmarks, few take advantage of lines. In this paper, an effective EKF-based monocular SLAM approach using vertical straight lines is proposed. The vertical straight line is represented with the inverse-depth form which allows an efficient and accurate representation of its depth uncertainty and can also increase the...
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