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.
In this paper, a current sensorless maximum power point tracking (MPPT) algorithm for a low-cost PV array controller is proposed. In order to reduce the cost on controllers and sensors, the PV array controller is based on controlling turn-on time of the interleaved flyback converter and DC bus output is designed. The controller only samples the input voltage without the need for a current sensor,...
Considering the limit that marginal fisher analysis(MFA) can't take advantage of the discriminant information in the training samples, this paper proposed a semi-supervised dimensionality reduction based on kernel marginal fisher analysis and sparsity preserving. The new algorithm firstly gets the sparse reconstruction of the samples. Secondly it uses the samples with labels to construct the intra-class...
Distributed and Parallel algorithms have attracted a vast amount of interest and research in recent decades, to handle large-scale data set in real-world applications. In this paper, we focus on a parallel implementation of KD-Tree based outlier detection method to deal with large-scale data set. As one of the state-of-the-art outlier detection methods, KD-Tree based has been approved to be an effective...
Many optimization problems in the scientific research and engineering practice can be modeled as multi-objective optimization problems. Effective algorithms for them is of not only important in scientific research, but also valuable in applications. In this paper, a new genetic algorithm for multi-objective optimization problems based on uniform design called BUMOGA is proposed combined with uniform...
To move the sample points towards the optimality according to an attraction-repulsion mechanism, an improved heuristic is proposed. Firstly, the constrained optimization problem is transformed into an unconstrained optimization problem by external point method. Secondly, the formula of the particle charge is re-defined to decrease the amount of calculation and improve the efficiency. Then the formula...
Image segmentation is a key technique of image processing and computer vision field. However, facing with large amount of image segmentation methods, the qualitative and quantitative evaluation of algorithms is very significant. This paper states the thoughts of high resolution RS image segmentation methods evaluation and tests it by evaluating four typical image segmentation algorithms based on features...
The pulse waveform characteristic point detection is important for non-invasively detecting cardiovascular parameters. A novel designed algorithm based on wavelet transform (WT) is developed. For some pulse waveforms, characteristic points exactly correspond to the zero-crossing of a wavelet with one vanishing moment, while the others incompletely correspond to. And characteristic points also correspond...
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.