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The principle and algorithm of Empirical mode decomposition (EMD) and ensemble empirical mode decomposition (EEMD) is introduced, and two methods are respectively used to analyze simulated signal and engine's vibration signals. Based on EEMD, the signal can be efficiently decomposed into a finite number of intrinsic mode functions (IMFs) by adding white noise, and the problem of mode mixing in frequency...
In this paper we are using Devanagari script OCR for recognition. The handwritten data set is created by us and for printed characters we have used ISM font. Here we are using gradient and curvature based feature extraction method. We have compared Nearest Neighbor, K-Nearest Neighbor, Euclidian Distance-based K-NN, Cosine Similarity -based K-NN, Condensed Nearest Neighbor, Reduced Nearest neighbor,...
The important meaning of the optical fiber fusion defect recognition was introduced based on wavelet packet technique. Detecting the optical fiber fusion point by using the UltraPAC system, aiming at the defect feature, the method of analyzing and extracting the defect eigenvalue by using wavelet packet analysis and pattern recognition by making use of the wavelet neural network is discussed. This...
based on the review and summarization of the video retrieval background and related work, this paper studies the key technologies of video retrieval. On this basis, according to the overall system design requirements, it designs a content-based video retrieval system and briefly describes the functions each module achieved. The system is divided into video pre-processing and video query subsystems,...
The problem of recognizing multiple object classes in natural images has proven to be a difficult challenge for compute vision. It is reasonable to look to biology for inspiration, a novel multiclass object recognition algorithm based on a biologically inspired model named ST model is proposed. ST model is based on the theory of biological neurology, which calculates object features that exhibit position...
Relation Extraction is an important research field in Information Extraction. In this paper, we present a novel mixed model to extract relation between named entities in Chinese, which combines the merits of both feature based method and tree kernel based method. Feature based method captures the language information of the text, while, the tree kernel based method shows the structured information...
Locating the vehicle license plate plays an important role in the vehicle license plate automatic recognition system, At present license plate gray feature and texture feature were considered in the most license plate location methods, however, these methods have weak adaptability in different environment. To solve these problems, license plate location based on singular value feature is proposed...
In this paper a multi-resolution analysis based on Independent Component Analysis (ICA) for face recognition is examined. We extract image features of facial images from various wavelet transforms (Haar, Daubechies, Coiflet, Symlet, Biothogonal and Reverse Biorthogonal) by decomposing face image in subbands 1 to 8. These features are analyzed by ICA and Euclidean distance measure. A series of experiments...
A new blind geometric robust watermarking scheme is presented based on singular value decomposition (SVD) and discrete wavelet transform (DWT). In the scheme, the host image is decomposed with n-level DWT and the low frequency sub-band is divided into nonoverlapping blocks. SVD is applied to every block. The watermark is embedded into the low frequency DWT coefficients by modifying the largest singular...
This paper describes an adaptive grid-point detector for the feature detection task in a pseudo-random structured light pattern. In the algorithm, a local entropy map is firstly constructed to evaluate the distribution of the projected pattern elements in the captured image. A mask in the shape of a cross is then used for the preliminary detection of grid-point candidates. With reference to the entropy...
A model for the electronic properties of two dimensional nano-tori has been constructed. To this end, the Schrodinger equation has been approximately solved for the entire system, and the average number of electrons has been studied. The electron spread proved to have important implications in these structure's field emission properties, further studied using the one dimensional Wentzel - Kramers...
Under the competition pressure and driven by the technology development, the number of value-added services will increase very rapidly to improve the ARPU (average revenue per user) of the telecom industries. That makes the feature interaction (FI) problem more serious in the emerging telecom system. Besides, to make the creation of a feature easier, service design is open to the third party in a...
As a fundamental and critical component of music information retrieval (MIR) systems, automatically classifying music by genre is a challenging problem. The traditional approaches which solely depending on low-level audio features may not be able to obtain satisfactory results. In recent years, the social tags have emerged as an important way to provide information about resources on the web. So,...
Aimed at the influence of illumination and posture changed to the human ear recognition, isometric mapping (Isomap) algorithm of manifold is applied to the feature extraction stage of human ear recognition. The results of experiment indicate that using Isomap algorithm in the human ear recognition, can reduce the influence on rate when the posture and illumination changed, and improve the recognition...
Text classification has gained booming interest over the past few years. In this paper we look at the main approaches that have been taken towards text classification. The key text classification techniques including text model, feature selection methods and text classification algorithms are discussed. This work focus on the implementation of a text classification system based on Mutual Information...
Potential barrier parameter induced bistable stochastic resonance (BSR) was studied in this paper. Based on the former stochastic resonance study, potential well parameter b was investigated to explore the parameter-induced stochastic resonance characteristics. A bluetooth stack-based wireless sensor network (WSN) was adopted to obtain the experimental data for parameter-induced stochastic resonance...
Content-based image retrieval is an important research area in digital libraries and multimedia databases. In this paper, we present a novel image retrieval method based on improved Hough transform. First, we developed a new general method of acceleration of the convergence of the Hough transform based. It works on an improvement of the image analysis speed as well as the space undersampling of the...
Motivated by the fact that a class has its own optimal feature vector discriminating itself from the other classes, we propose a new feature extraction algorithm for face recognition. In the scheme of the proposed class-dependent LDA (CDLDA), the evaluation criterion discriminating the samples of one class from those of the other classes is proposed. Different linear transformation spaces are constructed...
In order to realize Remote Monitoring of wheelchair's user and Home environment, ZigBee-based network intelligent wheelchair system has been designed by using Wireless Sensor Networks, intelligent wheelchair, and communication modules. The system works on the existing TD-SCDMA network. This paper introduces the working principle, hardware and software designing. The design of sensor nodes, network...
In order to develop an automatic and rapid detection method for enumeration of total bacteria in juice, biomimetic pattern recognition and machine vision were employed. The characteristic data, such as shape, texture and color features, were acquired by using the machine vision technology from bacteria images in varieties of juice. Based on multi-weight higher order neuron network, the recognition...
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