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As cutting-edge technology, cluster wells can substantially enhance wells production and oil recovery. Rotating Magnet Ranging System (RMRS) is critical technology to ensure precise ranging and accurate interconnecting target of complex structure wells. The magnetic signal of RMRS is a sinusoidal signal of frequency-varying, narrow band, and its intensity attenuates rapidly with cube of the propagation...
In this paper, we introduce a clustering algorithm for intrusion detection based on WaveCluster algorithm and an entropy-based characteristics screening algorithm. WaveCluster algorithm has a low time complexity when the data are low-dimensional, but on the contrary, the actual network data are high-dimensional. So we reduce the dimension of the network data using characteristics screening before...
The marine radio navigation system generally works in the MW and SW, to make use of the ground wave for navigation and positioning. The calculation on ground wave signal field strength is the theoretical basis of the whole system design, which decides the working area, the sensitivity of receiver and the dynamic range of the system. For the problem of the complex calculation on ground wave attenuation...
Consensus RNA secondary structure and helices are always required from several homologous sequences as the development of non-coding RNA. The problem can be solved by comparative sequence analysis methods, in which nearly all the algorithms are based on multiple sequence alignment. However, there are no effective models combining similarity and secondary structure. So far multiple sequence alignment...
The genome-wide disease association is a major interest of current genomics research. However, these works are limited by the high cost of genotyping large number of single nucleotide polymorphisms (SNPs). Therefore, it is essential to choose a small subset of informative SNPs (tagSNPs) to represent the rest of the SNPs. To find the minimum set of tagSNPs, we propose a new method that combines the...
Multiple-instance learning is a special machine learning algorithm between supervised learning and unsupervised learning, which has been used in medicine design, image retrieval and other research fields, and attained good performance. Diverse Density (DD) algorithm is a typical multiple- instance learning method. Due to the character of sparse positive instances, when classifying the bags which include...
In this paper a new framework for personal identity verification using 3-D geometry of the face is introduced. Initially, 3-D facial surfaces are represented by curves extracted from facial surfaces (facial curves). Two alternative facial curves are examined in this research: iso-depth and iso-geodesic curves. Iso-depth curves are produced by intersecting a facial surface with parallel planes perpendicular...
In this paper, a new nondominated sorting particle swarm optimisation (NSPSO), is proposed, that combines the operations (fast ranking of non-dominated solutions, crowding distance ranking and elitist strategy of combining parent population and offspring population together) of a known MOGA NSGA-II and the other advanced operations (selection and mutation operations) with a single particle swarm optimiser...
Rushes editing, which enables the computer to edit the film like a professional film cutter based on the noisy and redundant footage, is an active topic in multimedia semantic analysis. The most critical problem of rushes editing is how to generate an effective, efficient, and robust descriptor for the footage content analysis. This paper proposes a novel non-linear dimensionality reduction algorithm...
The main contribution of this paper is an algorithm for integrating motion planning and simultaneous localization and mapping (SLAM). We propose an effective navigation method and take into account not only the specific exploration situation, but also the uncertainty estimation of localization and mapping. In our method, both the navigation cost and the system uncertainty constitute an objective function...
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