Shuffle operation on trajectories is useful in modeling parallel composition of words and languages. In this work, a new class of P systems with shuffle operation is presented. Such a system has language-objects and s...
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Shuffle operation on trajectories is useful in modeling parallel composition of words and languages. In this work, a new class of P systems with shuffle operation is presented. Such a system has language-objects and shuffle-operation rules in its regions. It can be used as a language generator; specifically it is used to generate languages from sets of languages. Some comparison results are obtained, which show that the power of shuffle operation is enlarged in the framework of P systems.
Randić et al. proposed a famous spectral graphical representation of DNA sequences, and claimed that it avoids loss of information. In this paper we build two mathematical models for this graphical representation and ...
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Randić et al. proposed a famous spectral graphical representation of DNA sequences, and claimed that it avoids loss of information. In this paper we build two mathematical models for this graphical representation and prove that the claim is correct, and that it also avoids degeneracy. Moreover, we propose a new method to do similarity analysis of DNA sequences based on the spectral representation. The method adopts M value to characterize a graphical representation and uses 24-component vector as descriptor. The approach is illustrated on the complete coding sequence of beta-globin genes from 7 different species.
The rapidly evolving wireless communications environment and 3G, where the standard are constantly created and modified, has given rise to the integration of GPS (Global Positioning System) and GSM (Global System for ...
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The rapidly evolving wireless communications environment and 3G, where the standard are constantly created and modified, has given rise to the integration of GPS (Global Positioning System) and GSM (Global System for Mobile communication). This integration has been widely applied in many disciplines including Intelligent Transportation System (ITS) and Logistic Management to aid the users to locate their vehicles remotely. Further on, the fast growth of city transportation also has stimulated the development of VMS where it is recognized as one of the major components of ITS. However, this system is rarely being implemented on embedded system using DSP processor. Thus, this paper discusses design and implementation of GSM/GPRS integration in a TMS320VC6713 for Vehicle Location that permits users to communicate with their vehicles via a Short Message Service (SMS). This system provides an alternative solution to solve vehicle theft and hijacking problems where the system is able track the real-time moving car location by using cellular phone. The system performance analysis has been carried out where the executions of three functions have been measured in clock cycles.
Vehicle velocity estimation is an important aspect of intelligent transportation systems. Normally velocity is estimated using dedicated laser speed traps and Doppler radars. Recently, the use of cameras is becoming m...
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Vehicle velocity estimation is an important aspect of intelligent transportation systems. Normally velocity is estimated using dedicated laser speed traps and Doppler radars. Recently, the use of cameras is becoming more common for the purpose of traffic surveillance and smart surveillance system. It is thus the aim of this paper to propose a method for vehicle speed estimation using these existing video cameras. In this paper, we propose a vehicle speed estimation method from video analysis. The method proposed contains several steps; image preprocessing, centroid extraction and tracking. The proposed method transforms the 2D image points into a 3D virtual world to obtain actual vehicle position in 3D space. This is to account for perspective distortion commonly seen in images. Using these 3D points and measuring the time for displacement, the vehicle speed is obtained. Experimental results have shown that the proposed method gives accurate velocity estimation.
Skeleton extraction is essential for general shape representation. A typical skeletonization algorithm should obtain the ability to preserve original object's topological and hierarchical properties. However, most...
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ISBN:
(纸本)9781424463886;9780769539874
Skeleton extraction is essential for general shape representation. A typical skeletonization algorithm should obtain the ability to preserve original object's topological and hierarchical properties. However, most of current methods are high memory cost, computationally intensive, and also require complex data structures. In this paper, we propose an efficient and accurate skeletonization method for the skeleton feature points extracted from human body based on silhouette images. First, the gradient of distance transform is used to detect critical points inside the foreground. Then, we converge and simplify critical points in order to generate the most important and elegant skeleton feature points. Finally, we present an algorithm which connects the skeleton feature points and estimates the position of skeleton joints.
Randić et al. proposed a significant graphical representation for DNA sequences, which is very compact and avoids loss of information. In this paper, we build a fast algorithm for this graphical representation with ti...
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Randić et al. proposed a significant graphical representation for DNA sequences, which is very compact and avoids loss of information. In this paper, we build a fast algorithm for this graphical representation with time complexity O(n 2 ), and find another important advantage in the representation: no degeneracy. Moreover, we propose a new method to do similarity analysis of DNA sequences based on the representation. The approach adopts four elements of covariance matrix as a descriptor, and is illustrated on the first exon of beta-globin genes from 11 different species.
Based on the theory of quantum mechanics and quantum computing, a path planning method for mobile robot based on quantum genetic algorithm was presented in this paper. By using the quantum-bit with the superposition s...
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Based on the theory of quantum mechanics and quantum computing, a path planning method for mobile robot based on quantum genetic algorithm was presented in this paper. By using the quantum-bit with the superposition state to encode a route and introducing quantum genetic algorithm to optimize the cost function of path planning, the proposed method guides and realizes path optimization by introducing genetic operators including quantum crossover operator and quantum gate mutation operator with the essential characteristics of quantum. Primary experiments demonstrated that our method not only has the diversity of population, but also improves effectively the capabilities of searching and convergence.
In this paper, a novel method of fingerprint minutiae extraction on grey-scale images is proposed based on the Gabor phase field. The novelty of our approach is that the proposed algorithm is performed on the transfor...
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In this paper, a novel method of fingerprint minutiae extraction on grey-scale images is proposed based on the Gabor phase field. The novelty of our approach is that the proposed algorithm is performed on the transform domain, i.e. the Gabor phase field of the fingerprint image. This is different from most existing minutiae extraction methods, in which the minutiae are usually extracted from the binarized and thinned fingerprint image. Experimental results on benchmark data sets demonstrate that the proposed algorithm has promising performances.
The Hammerstein systems, consisting of a zero-memory nonlinearity followed by a linear dynamic function, exists universally in industrial, chemical, physical and biological systems. Thus an effective modelling method ...
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ISBN:
(纸本)9787894631046
The Hammerstein systems, consisting of a zero-memory nonlinearity followed by a linear dynamic function, exists universally in industrial, chemical, physical and biological systems. Thus an effective modelling method for Hammerstein systems is critical for both relevant scientific research and engineering applications. We propose a novel Hammerstein identification approach, in which a multi-channel mechanism is used to separate the coefficients of the linear and nonlinear blocks more completely. Compared with traditional single-channel identification algorithms, the present identification method can enhance the approximation accuracy remarkably under the weak condition on the persistent excitation (PE) condition of the inputs.
This paper deals with anisotropic diffusion in image affected by speckle. The classical SRAD can remove speckle efficiently, but blur the low-contrast edges. To solve this problem, a low-contrast edge enhancement meth...
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This paper deals with anisotropic diffusion in image affected by speckle. The classical SRAD can remove speckle efficiently, but blur the low-contrast edges. To solve this problem, a low-contrast edge enhancement method based on anisotropic diffusion for speckle reducing is present. The method extends the SRAD to a matrix anisotropic diffusion, and suppresses the diffusion across edges while encourages diffusion along edges. Experimental results showed that the proposed method can suppress the speckle and protect low-contrast edges efficiently.
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