this paper presents recent time-frequency analysis technique called Hilbert Huang Transform (HHT) used for non-stationary and nonlinear signals. this technique is applied in combination with a patternrecognition meth...
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ISBN:
(纸本)9781467366731
this paper presents recent time-frequency analysis technique called Hilbert Huang Transform (HHT) used for non-stationary and nonlinear signals. this technique is applied in combination with a patternrecognition method to detect defects in induction motor. Studied defects in our case are one broken rotor bar, two broken rotor bars and broken ring on the rotor. the aim of this study is to improve the classification results of these different rotor faults. the classification results obtained by using the HHT method and those obtained by using the temporal signals are compared.
Document analysis and understanding (DAU) systems aim nor only at the recognition of text and document structures but also at the extraction of relevant information out of a scanned document, Depending on the class of...
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ISBN:
(纸本)0818678984;0818678992
Document analysis and understanding (DAU) systems aim nor only at the recognition of text and document structures but also at the extraction of relevant information out of a scanned document, Depending on the class of a document, information to be extracted may be defined in advance in syntactic structures af well as in semantic structures. fn this paper, we present a system for detecting such information and transforming it into a semantic representation. the basic component is a pattern matcher which incorporates geometric positions to detect phrases in the document, By defining a Levenshtein distance, the component reacts more generously in order to be error-tolerant against OCR failures.
One of the fundamental issues of human and computational cognitive psychology is pattern or shape recognition. Various applications in image processing and computer vision rely on skeleton-like shape features A possib...
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ISBN:
(纸本)9781479915439;9781479915460
One of the fundamental issues of human and computational cognitive psychology is pattern or shape recognition. Various applications in image processing and computer vision rely on skeleton-like shape features A possible technique for extracting these feautures is thinning. Although the majority of 2D thinning algorithms work on digital pictures sampled on the conventional square grid, the role of some non-conventional grids, like the hexagonal and triangular grid, are of increasing importance as well. In this paper we propose numerous topolgy preserving parallel thinning algorithms that work on the triangular grid.
this paper proposes a novel, laser-based localization method for the autonomous mobile robot in transformer substations. Iterative closet point (ICP) algorithm has been widely used in current laser localization system...
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ISBN:
(纸本)9781509032280
this paper proposes a novel, laser-based localization method for the autonomous mobile robot in transformer substations. Iterative closet point (ICP) algorithm has been widely used in current laser localization system for locating the mobile robot. However, after initialization, current localization system cannot finish positioning without human assistance. there is a growing interest in finding an effective way to improve the stability and correctness of laser system. We describe a method that combines the patternrecognition with laser localization system. Robot positioning in feature map is to search the relative distance and orientation to landmarks.
In this paper, we propose a new probability model, ‘asymmetric Gaussian(AG),’ which can capture spatially asymmetric distributions. It is also extended to mixture of AGs. the values of its parameters can be determin...
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Enhancers are sequences in the genome that regulate gene expression and are usually located far from transcription start sites. Enhancers regulate gene expression by interacting with promoters. therefore, the recognit...
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ISBN:
(纸本)9781450372244
Enhancers are sequences in the genome that regulate gene expression and are usually located far from transcription start sites. Enhancers regulate gene expression by interacting with promoters. therefore, the recognition of the association between enhancers and promoters is an important issue in the study of enhancer regulation. At present, computational methods to recognize the association between enhancers and promoters are mainly realized by designing machine learning methods based on the biological signals on the genome sequence. these recognition methods ignore evaluating the classification power of features, resulting in limited recognition performance. In this paper, the classification power of the feature signals near enhancers and promoters in the genome sequence was evaluated, and the features with strong classification power were picked up. this was conducive to improving the recognition accuracy. the correlation between enhancers and promoters was recognized by the random forest method. Compared withthe five main recognition methods, the accuracy of the recognition method in this paper is higher.
In this paper the problem of pattern classification for inputs with missing values is considered. A general fuzzy min-max (GFMM) neural network utilizing hyperbox fuzzy sets as a representation of data cluster prototy...
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In this paper the problem of pattern classification for inputs with missing values is considered. A general fuzzy min-max (GFMM) neural network utilizing hyperbox fuzzy sets as a representation of data cluster prototypes is used. It is shown how a classification decisions can be carried out on a subspace of a high dimensional input data. No substitution scheme for missing values (approach quite commonly used) is utilized. the result is a classification procedure that reduces a number of viable class alternatives on the basis of available information rather than attempting to produce one winning class without supporting evidence. A number of simulation results for well known data sets are provided to illustrate the properties and performance of the proposed approach.
the topic of initializing and controlling the formation of robots in a multi-agent system has become a core swarm robotics research problem as formation control is very useful for cooperative tasks. In this paper we p...
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ISBN:
(纸本)9781728193311
the topic of initializing and controlling the formation of robots in a multi-agent system has become a core swarm robotics research problem as formation control is very useful for cooperative tasks. In this paper we propose a hybrid method for formation control of non-holonomic mobile robots fusing controller behaviours with virtual structure. the proposed method is ideal for applications like search and rescue operations. the method is tested and evaluated in some simulation experiments and it proved to perform better for random shapes as well as polygonal shapes and convex hulls than behaviour based approaches and it was observed that converging time is independent of the shape complexity. the method also provides an easy method to design new pattern shapes. the results show that the proposed method improves in accuracy, formation controlling mechanism, applicability and variation of shapes.
We describe a high-speed patternrecognition system using Evolvable Hardware (EHW), which can change its own hardware structure by genetic learning in order to adapt best to the environment. the purpose of the system ...
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Dynamic changes of the wetland in Qinghai-Tibet Plateau were analyzed by using images of the TM (thematic Mapper) in 1990, the ETM+ (Enhanced thematic Mapper Plus) in 2000 and the CBERS (China and Brazil Earth Resourc...
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ISBN:
(纸本)9781424447138
Dynamic changes of the wetland in Qinghai-Tibet Plateau were analyzed by using images of the TM (thematic Mapper) in 1990, the ETM+ (Enhanced thematic Mapper Plus) in 2000 and the CBERS (China and Brazil Earth Resource Satellite) in 2006 as the main data source in this paper. And through man- computer interactive visual interpretation the wetland data of different periods in Qinghai- Tibet Plateau was obtained. the results show that the existing wetland area is about 131894.18 km2 in Qinghai-Tibet Plateau. the total area of the wetland decreased significantly in the first and then increased obviously over the past 16 years and lake wetland has the most distinct changes. At the same time, except for lake, the patch shape of other landscape elements has been becoming more and more complicated. the degradation trend of the wetland in Qinghai- Tibet Plateau is not optimistic.
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