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Oil spills is a major threat to ocean ecosystems. The capability of synthetic aperture radar (SAR) sensors to detect oil spills over the sea surface is established and proven. Oil spills appear as dark spots in SAR images. However, dark formations can be caused by a number of phenomena (e.g., manmade actions, geological conditions, and meteorological and hydrological effects). The current researches...
In a memory structure shared by multiple processors based on Multiprocessor Systems on Chip (MPSoC), the efficiency of memory bus access becomes the bottleneck of the overall system efficiency. This paper presents a low-latency SDARM controller structure integrated in MPSoC, which controls the off-chip SDRAM memory. Consecutive same row optimization and odd-even bank optimization are used to eliminate...
Elements of Support Vector Machine was applied to the fault diagnosis of gear system, and the two-class algorithms for 3 individual fault modes, which are No Fault Gear Mode, Crack of Dedendum Mode and Tooth Surface Abrasion Mode respectively, are well developed and set up. Through the training and testing simulation data samples and the signal samples from gear oscillation, these 3 different types...
It is very important to detect the reference point effectively and accurately, especially in nonminutiae based fingerprint matching and fingerprint classification. In this paper, an effective algorithm based on block level for fingerprint reference point detection is proposed to simplify detection process and improve accuracy of the position of the point. The method is simple in the preprocessing...
Anomaly detection in computer networks tries to detect traffic deviation from the normal model. Traditionally, feature-based one-class classifiers are the main components of anomaly detection systems. The performance of this anomaly detection system largely depends on the result of the feature selection. dissimilarity representations describe an object by its dissimilarities to a set of target class...
Haplotype reconstruction based on aligned SNP fragments is to infer a pair of haplotypes from localized polymorphism data got through short genome fragment assembly. For this problem, one of important computational models is the minimum fragment removal (MFR) model. This model constructs a pair of haplotypes by deleting minimum fragments from the data set so that left fragments can be classified into...
Wikipedia (Wiki) is a collaborative on-line encyclopedia, where Web users are able to share their knowledge about a certain topic. How to make use of the rich knowledge in the Wiki is a big challenge. In this paper we propose a method to construct domain ontology from the Chinese Wiki automatically. The main idea in this paper is based on the entry segmenting and feature text (FT) extracting, where...
Hierarchical document classification refers to assigning one or more suitable categories from a hierarchical category space to a document. This paper proposes a new hierarchical document classification method based on a backtracking algorithm. Utilizing the relationships between categories in category tree, a suitable threshold for every category is found to determine whether a document could be classified...
Fingerprint segmentation is the important step of image preprocessing in an automatic fingerprint identification system and usually aimed to exclude background regions to reduce the time of subsequent processing and avoid detecting false features. In this paper, a hybrid algorithm based on linear classifiers for the segmentation of fingerprints is presented. The propose algorithm uses a block-wise...
Classification has an important role in data mining, but the individual classifier has its limited applicable field, so combining the classified output of multiple classifiers to get much more accuracy is very valuable. There are many combination algorithms such as product, sum, median and vote rules. But these integration algorithms always have not good capability in different datasets. So in this...
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