The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
A visibility-culling-based geometric rendering algorithm is proposed in this paper so as to visualize large-scale particle data efficiently. In the algorithm, the particles are culled based on their visibility at two granularities. All data patches beyond the OpenGL view frustum are firstly thrown away as a coarse culling. And then, the remaining particles will be judged their visibility based on...
The problem that the mechanical fault information of wind turbine generator is weak in the voltage and current signals need to be solved, information is not conducive to the identification and extraction. According to the common algorithm, the instantaneous power and other parameters are combined well, and we exploit the characteristic of mechanical fault information which is used in the same phase...
Market abuse has attracted much attention from financial regulators around the world but it is difficult to fully prevent. One of the reasons is the lack of thoroughly studies of the market abuse strategies and the corresponding effective market abuse approaches. In this paper, the strategies of reported price manipulation cases are analysed as well as the related empirical studies. A transformation...
The nationwide air traffic flow control for the National Airspace System is a complicated large-scale optimization problem which is significant to the future development of Air Traffic Management. Based on a Link Transmission Model and dual decomposition method, the large-scale air traffic flow optimization is decomposed into smaller independent optimization subproblems and solved using parallel computing...
The distributed-memory parallel computer has become the most popular platform for the parallel acceleration of numerical simulations in scientific computing area. However, complex system characteristics and large-scale time-varying data produced on such environment present tremendous challenges for convenient data analyzing. A visualization system framework is introduced in this paper, which can be...
This paper mainly addressed the kinematics and dynamics simulation of the Slider-Crank mechanism. After proposing a mathematical model for the forward displacement of the slider-crank mechanism, the mathematical models for the forward velocity and acceleration of the slider-crank mechanism are constructed, respectively. According to the theory of statical equilibrium, the mathematical model for the...
This paper studies dynamic characteristics of a hydraulic balancer at the steady state. The vibration suppression ratio (VSR) of a single-layer hydraulic balancer is derived based on a simple planar rotator and the balancer's difficulty in completely balancing the system is presented. An improved balancer with multiple layers is studied which can greatly enhance the VSR. A mathematical model for the...
In this paper, we present a new method for modeling the nonlinear transient behavior of I/O buffers in high-speed PCB design. The proposed method expands the existing StateSpace Dynamic Neural Network (SSDNN) into a more generalized and efficient technique for modeling nonlinear behavior of I/O buffers. A Multi-Layer Perceptron (MLP) neural network with multiple hidden layers is combined with the...
Satellite control using magneto-torquers represents a control challenge combined with strong nonlinearity, variable dynamics and partial controllability. An automatic differentiation based nonlinear model predictive control (NMPC) algorithm is developed in this work to tackle these issues. Based on the previously developed formulation of NMPC, a novel variable sampling time scheme is proposed to combine...
A method to identify the degradation parameter of the defocused blur image based on genetic algorithm is proposed. In this technique, a FFT transform is performed in the frequency domain to estimate the range of defocus parameter, and then genetic algorithm is used to search in this domain to find the accurate value of the radius. We experimentally illustrate its performance; results show that the...
Computational fluid dynamics (CFD) simulations have been extensively used in many aerodynamic design optimization problems, such as wing and turbine blade shape design optimization. However, it normally takes very long time to solve such optimization problems due to the heavy computation load involved in CFD simulations, where a number of differential equations are to be solved. Some efforts have...
In this paper, the recent neural network (NN) approaches to time domain electromagnetic (EM)-based modeling are summarized. Fast and accurate passive EM models can be created using three recent methods, i.e., (equivalent circuit and neural network) EC-NN, (state space equation and neural network) SSE-NN and (equivalent circuit, state space equation and neural network) EC-SSE-NN. Those methods are...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.