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 view of problem that it usually lacks of fusion depth to combine moment invariants with other extraction technology on local invariant features, this article proposes the moment invariants based on SUSAN initial edge response, which provides a sort of organic integration for moment invariants and SUSAN edge detection algorithm. The combination point is to treat SUSAN initial edge response matrix...
In this paper, we studied two kinds of image super-resolution algorithms based on MAP-The single frame and multi-frame based regularization technique. In multi-frame version the local adaptive regularized parameter derived from the local image features was introduced to improve the regularization performance, while insufficient considerate in single version. The algorithms adaptively update the parameter...
This paper studies the fundamental problems of mining association rules. Based on the summary of classical mining algorithm and the inherent defects of Apriori algorithm, some related improvements are researched. In order to avoid scanning the database multiple times, the database mapping method is changed in this research. Meanwhile, after the support of candidate item sets is get, each candidate...
This paper studies the typical scheduling problem of parallel flow shop, which is characterized by multi-product, multi-stage, parallel equipment. This paper presents heuristic different algorithm (HDA) with continuous codes representing the batch size on the every stage to enhance the ability of particle to handle constraints. The results show that HPSO is superior to optimization software and standard...
Path planning problem is one of the key contents in the research field of Geographic Information System (GIS), among which the finding of the shortest path is always a hot topic. When there is large quantity of data, the efficiency of traditional algorithms of Kth shortest paths is relatively low, and some path problems concerning big difference between the planned Kth paths under actual requirements...
Synthetic Decision Support System is combined with online analytical processing, data mining, model libraries, databases and knowledge bases. It will become one of the key technologies of data management services of Internet of Things, and it will establish the foundation for the smart city. This paper researches on the sequential pattern mining for decision support, implements the Prefix Span algorithm,...
Multi-document summary plays an increasingly important role with the exponential document growth on the web. Among many traditional multi-document summarization techniques, the latent semantic analysis (LSA) is a unique duo to its using latent semantic information instead of original feature, which results in a better performance. However, since those approaches based on LSA evaluate and select sentence...
A power self-adaptive algorithm for Vehicular Ad-hoc Networks has been proposed in the paper. The theoretical analysis are based on the Nakagami-3 model. The algorithm can automatically adjust the transmission power by sensing communication density, and meet the requirements of increasing the packets reception rate of receiving nodes and saving energy of transmitting nodes.
A Real-time Listening Based Self-adaptive Algorithm has been proposed in this paper. This algorithm is based on multi-serviced p-persistent model, it computes the collision/idle ratio according to four priorities of VANET to adjust the transmission probability with a self-adaptive strategy to enhance the channel efficiency. The algorithm improves system through reduces collision probability among...
Aircraft Landing Scheduling (ALS) plays an important role in ensuring safety and efficiency of flight operation in terminal area in the air traffic management domain. Since ALS problem is multi-constraint and large-scale, existing algorithms can hardly deal with it efficiently. This paper firstly introduces the mathematic model of ALS problem and the 1D Cellular-Automaton model for simulating aircraft...
Gabor filters are used to extract holistic feature in facial expression recognition. However, local subtle features can't be extracted effectively and it results in large amounts of data redundancy. In this paper, we proposed a novel facial expression recognition method based on the selection of local Gabor features and the extended nearest neighbor algorithm. The Gabor filter and radial encode is...
Because the implicit Runge-Kutta method is hard to use, in addition, there is the lack of precision analysis for the implicit Runge-Kutta methods, three classic four-stage implicit Runge-Kutta methods are used to compare their calculation accuracy and the sensitivity of calculation step, these results provided reference for the selection of four-stage implicit Runge-Kutta methods.
This paper presents an approach for classification which is based on the neighborhood expansion. The proposed algorithm can (1) find automatically the number of clusters, and (2) classify irregular data set. In the approach, we first defined the distance between a point and a set, then the neighborhood of a data set. The algorithm can begin with any point in the data set and expands the point to a...
The web reviews contain a lot of features of the evaluation object and express the viewpoints or attitudes of the reviewers. Therefore, analyzing them and identifying the sentiment polarity will be significantly important and valuable. This paper uses the appearing-frequency of noun words to extract the aspect words and uses some semantic rules to extract opinion words to form the aspect -- opinion...
China Open University system, as an exclusive university organization that is specialized in distance open education in China, adopts the network teaching way, and whose teaching network covered the whole country, so the system's teaching quality is increasingly attracting attention, and the teaching reform measures used to improve the teaching quality also have been taken. Apparently, utilizing data...
In this paper, an adaptive interpolation method of digital image focusing on edge information is studied. The target is multi-level zoom ensuring image quality and keeping edge information. And this method is composed of three key models. (1) Accurate edge detecting model. Edge detecting model is the basic model to describe image features and the classic Canny edge detector is applied to get accurate...
In this paper, an automatic cloud-contaminated area detection approach is studied using multi-temporal middle-spatial satellite remote sensing images. A cloud detection method using multi-temporal images based on change detection method in remote sensing image interpretation and timing information are applied. This approach is composed of three models. Firstly, image preprocessing is applied to image...
This paper proposes a semi-supervised spectral clustering algorithm combined with Bayes decision, for Low stability and accuracy of spectral clustering algorithm. This method is clustered according to color, texture and spatial characteristics of the image. It first adjusts the similarity matrix by distance learning methods based on Bayes decision to improve clustering distribution of feature vectors,...
With the continuous development and improvement of GNSS, the multi-constellation will be the main navigation mode in the future. Dilution of precision (DOP) has been widely used as an accuracy metric and for navigation and tracking systems. Properties of DOP in multi-constellation are one of the crucial elements to be studied. In this paper, theoretical analysis and simulation has been made in GDOP...
Currently localization algorithms for mobile sensor networks are mostly based on Sequential Monte Carlo method. However they appear either low sampling efficiency or demand high beacon density requirement issues to achieve high localization accuracy. Aiming to solve the problems, we proposed an improved algorithm called Genetic and Weighting Monte Carlo Localization (GWMCL) in which we apply the Genetic...
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.