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.
For quadrotor UAV is a kind of under-actuated system with multiple inputs and strong coupling, manual optimization of PID control parameter for the quadrotor aircraft is time-consuming, and it is difficult to achieve good control effect. Therefore, the fuzzy radial basis function (RBF) neural network PID control system for a quadrotor UAV based on particle swarm optimization (PSO) is designed to realize...
Topological properties having priority and invariance play an important part in cognition. This paper introduces a novel attention selection model of Pulse Coupled Neural Network (PCNN)-based topological properties and quaternion. In our model, using Unit-linking PCNN hole-filter expresses the connectivity, an important topological property, in attention selection. Using this novel model can obtain...
To improve the accuracy and sensitivity of the breast tumor classification based on ultrasound images, a computer-aided classification algorithm is proposed using the Affinity Propagation (AP) clustering. Five morphologic features and three texture features are extracted from each breast ultrasound image. The AP clustering with an empirical value of "preference" is used as the primary classification...
Electricity demand forecasting is an important index to make power development plan and dispatch the loading of generating units in order to meet system demand. In order to improve the accuracy of the forecasting, we apply the feedforward neural network for electricity demand forecasting. Inspired by the idea of artificial fish swarm algorithm, in this paper we proposed one hybrid evolutionary algorithm...
We consider the problem of estimating the parameters of distributed signals with electromagnetic vector sensors. In this paper, we consider situations where the sources are distributed not only in space with deterministic angular signal density, but also in polarization with partially polarized components. A distributed signals general model with polarization sensitive sensor array (PSADIS-model)...
Safety stock, a very important composing of the stock management, which is significant for reducing the cost and increasing interests for an enterprise, is the base of the setting of enterprise's stocks, so it is crucial for stock management to presume a rational and exact SS. In this paper, introducing fractal theory, a new method based on the fractal collage theorem and the iterative process of...
A computerized classification based on morphologic and texture features is proposed to increase the accuracy of the ultrasonic diagnosis of breast tumors. Firstly, tumor boundaries are obtained with the gray-level threshold segmentation algorithm and the dynamic programming method. Then five morphologic features and two texture features are extracted. Finally, an artificial neural network with the...
Measurement of visual quality is of fundamental importance to some image processing applications. And the perceived image distortion of any image strongly depends on the local features, such as edges, flats and textures. Since edges often convey much information of an image, we propose a novel algorithm for image quality assessment based on the edge and contrast similarity between the distorted image...
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.