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This paper introduces PVID, an interactive application for performing parameter identification of both complete (5-parameter) and simplified (4-parameter) single-diode photovoltaic (PV) models. Two equations are presented that allow to perform on-line 4-parameter identification without exploiting iterative methods. They are useful, for example, to support a maximum power point tracking (MPPT) algorithm...
In this paper we present a method for the detection of wrong feature correspondences in a local feature based object detection system. Common visual objects in different images share not only similar local features but also a similar spatial layout of their features. We will utilize this fact in order to distinguish between correct and wrong feature correspondences. The spatial feature layout will...
This paper presents an algorithmic approach for improving the performance of many types of stochastic dynamical simulations. The approach is to redesign existing algorithms that use sparse matrix-vector products (SPMV) with single vectors to instead use a more efficient kernel, the generalized SPMV (GSPMV), which computes with multiple vectors simultaneously. In this paper, we show how to redesign...
Motivated by iterative regularization procedure based on total variation, we develop concretely a new iterative regularization procedure for Vese-Osher image decomposition model. The new algorithm improves significantly the quality of restoration when Vese-Osher standard model is used to real textured image denoising. The new algorithm is very simple, and we implement the method by the semi-implicit...
We present an approach for the localization of passive receiver nodes in a communication network. In our settings the positions of the nodes are unknown. The only source of information is the time when environmental sound or ultrasound signals are received. The discrete signals occur at unknown positions and times, but they can be distinguished. The clocks of the receivers are synchronized, so the...
The eikonal partial differential equation is solved using a modified level set algorithm which is then transformed into a proposed field programmable gate array implementation. The numerical method for isotropic material eikonal hardware engines is extended to angle dependent anisotropic media in two dimensions. This new method transforms the eigenvalue iteration into a process which executes in constant...
Understanding the genotype-phenotype association is a fundamental problem in genetics. A major open problem in mapping complex traits is identifying a set of interacting genetic variants (such as single nucleotide polymorphisms or SNPs) that influence disease susceptibility. Logic regression (LR) is a statistical approach that has been proposed to model interactions of SNPs. Several LR-based association...
IFS Fractal Algorithms has been well applied in the field of plant simulation, but branch simulation is still considered as a tough point until now. By investigating the true morphological structure of Cunninghamia Lanceolata, draw method is discussed respectively form three aspects of trunk, branch and leaf. One method of creating branch by using Cunninghamia Lanceolata branch structure parameter...
This paper presents a novel compensation of rolling friction for ball screw driven stage. Recent years, many kinds of friction models based on complicated equations are studied. However, it is difficult to treat friction models based on equations. The reasons are that precise modeling which represents the real friction characteristic and parameter tuning are difficult. In this paper, a model based...
To overcome the inefficiency of the traditional numerical methods that implement the anisotropic diffusion model for image denoising, a novel lattice Boltzmann model of anisotropic diffusion is presented in this paper. In the model, the diffusion rate is adapted to the image itself and independently set for each direction of diffusion. The mass accumulation is calculated through a weighted summation...
This paper presents two combustor modeling approaches for real time turbofan engine model. The two approaches are called Integral Approach and Hybrid Approach. Integral Approach resorts to the effect of mass and energy storage in a volume to establish the pressure and temperature differential equations. Whereas Hybrid Approach considers only the effect of mass storage in a volume to achieve pressure...
GPUs (Graphics Processing Units) have become one of the main co-processors that contributed to desktops towards high performance computing. Together with multi-core CPUs, a powerful heterogeneous execution platform is built for massive calculations. To improve application performance and explore this heterogeneity, a distribution of workload in a balanced way over the PUs (Processing Units) plays...
Real-time simulation and fast prototyping with power electronics, critical loads, and control systems have prompted recent interest in accurate electrical terminal models of photovoltaic (PV) panels and array systems. Advancement in computing technologies have allowed the prototyping of novel apparatus to be investigated in a virtual system under wide range of realistic conditions repeatedly, safely,...
Flood control decisions are often involved with quantitative and qualitative criteria. In this paper, a fuzzy model is presented for flood control operations. Based on dual comparison, two models computing relative membership grades with qualitative and quantitative criteria are established, respectively. Subjective preference and iterative weights integrated method is proposed for weight-assessment...
Oil reservoir simulators depend on numerical solvers to solve reservoir algebraic equations which represent the reservoir characteristics. Conjugate Gradient (CG) method is one of the most popular iterative linear solvers used. Parallelizing CG is then an essential step to increase the performance of the simulator using it. In this paper, we introduce an automatic parallel computational loading balancing...
The problem of target tracking in the presence of glint is investigated in the paper. Traditional interactive multiple model filters for tracking with target glint were first summarized and then simplified multiple model filters were developed in full detail according to a Gaussian assumption in the interactive multiple model structure. Novel iterated filters based on unscented Kalman filter and extended...
This paper applies the Radial Basis function (RBF) collocation method to compute the eddy current magnetic field coupled with conductor movement. Because of the linear characteristic of the RBF collocation matrix equation, the unknown magnetic vector potential could be easily decoupled and directly expressed in moving coordinate systems without model recast. This offers a great convenience to deal...
Fast and efficient algorithms are paramount in any real-time multimodal interactive simulation involving soft deformable objects. To achieve real time computational rates, it is expedient to adaptively refine the simulation mesh in the vicinity of the interaction region instead of using a uniformly refined mesh. While appealing, such an approach is difficult to implement as the system of linear algebraic...
Four turbulence models including three k-?? related turbulence models (standard k-?? model, RNG k-?? model and realizable k-?? model) and v2-f turbulence model are performed for axisymmetric confined jets and the results are compared with the experimental data. As a source to evaluate the numerical results, the physical model consists of a sudden pipe expansion section, with an expansion ratio of...
A novel real-time receding horizon control (RHC) strategy is presented for nonlinear discrete-time systems with quadratic criteria for fast controller response. First, the original problem is reduced to the nonlinear-quadratic regulator design for an off-line system by a novel successive approximation approach (SAA) based on vector iteration. By introducing an adjoint vector to compensate the separated...
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