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In this paper, by analyzing the deficiency and insufficient of subjects-selection in traditional graduate design, put forward to reform the process of subjects-selection in graduate thesis by application of web, propose an constructive programs of bidirectional subjects-selection system for graduation thesis. Bidirectional subjects-selection system for graduation thesis emphasizes the students-centered...
Spectrum sensing is one of the most basic issues in cognitive radio (CR), upon which the other operations to increase the spectrum utilization could be carried out. Therefore, an accurate, reliable and real-time method to detect the unused spectrum and available bands is required urgently. To fulfill the needs, several schemes have been introduced, among which the multitaper method (MTM) for nonparametric...
In this paper, a robust design method of optimization is used in the swing block four-bar linkage design by optimizing the robustness of both the system objective function and constraint functions. Comparing the solution of the traditional optimization and the solution of the robust optimal design, the robust design parameter displays a significant stability in performance when the value of the crank...
Rapid growth in sharing information using internet technologies laid the threats of copyright protection for digital multimedia contents. One of the remedy for intellectual property protection is Watermarking. This paper deals with numerous available digital video watermarking techniques and raised the issue of quality and size of watermarked video. Through experimental study, it has been shown that...
Some registration approaches can fail when percentage of outliers is too high in remote images. We introduce, in this paper, a new approach to improve the robustness of feature extration for automatic image registration. This method is based on long-edge correlation and consistency check. Long-edge correlation extracts a long edge as reference curve in order to increase the percentage of common feature...
A new method integrating reduced model and mixed design variables is proposed and applied in the lightweight design of a bus skeleton for the purpose of mass reduction without loss in structural performance. A whole skeleton model and a reduced model are built. All parts except chassis and floor assembly are reduced out using static reduction method. Reduced model is verified with finite element analysis...
Despite many of the same properties between standard median filter (SM) and Pseudo-median filter (PM), SM can remove impulses completely but PM not. However, PM can be more efficiently calculated which is very important for processing data online in WSN. In order to synthesize the advantages of performance of PM and SM, an improved method combined the advances of PM and SM is proposed in this paper...
Detecting a high-quality moving object with good robustness in computer vision system has important significance for follow-up task. Researching on the traditional algorithm, this paper proposes a background reconstruction algorithm based on a modified k-means clustering and the Single Gaussian model which could provide an accurate background image through a sequence of scene images with foreground...
This paper presents a novel approach for embedding a binary watermark into video frames based on the temporal difference and discrete wavelet transform (DWT). We embed a binary watermark in the most activity region which is obtained by the temporal difference in the approximate band at the first level of discrete wavelet transform (DWT) decomposition of video frames. Experimental results demonstrate...
In this paper, an efficient watermarking algorithm for color image is proposed based on HSI color space and Discrete Wavelet Transform (DWT). The color image is firstly converted from RGB to HSI format to obtain the intensity component. Then sub-blocks of intensity are divided and sorted according to the human visual system (HVS) characteristic. Finally, the scrambled binary watermark, which is achieved...
In the future, in e-commerce, the main actors will be the intelligent agents, who will dramatically reduce online shopping by human factors because of their reactive, proactive and social characteristics. Internet technology nowadays determines us to be less prepared to control and sanction the increasing number of users and of those service providers who have a doubtful behavior. The model developed...
In this paper, a novel algorithm called Receding Horizon Kalman Particle Filter (RHKPF) has been proposed and is applied to our improved fingerprint-based WLAN vehicle positioning system. The RHKPF is a particle filter that the optimal importance density is approximated by incorporating the most current measurement through a Receding Horizon Kalman Filter (RHKF), for that the RHKF is believed to be...
This paper analyzes the basic method of digital video image processing, studies the vehicle license plate recognition system based on image processing in intelligent transport system, presents a character recognition approach based on neural network perceptron to solve the vehicle license plate recognition in real-time traffic flow. Experimental results show that the approach can achieve better positioning...
In this paper, a novel fuzzy support vector machine based image watermarking scheme is proposed.Since the application of support vector machine in the process of watermarking technology is only a simple classification of the image. However,the fuzzy support vector machines by selecting the appropriate degree of membership to reflect the different importance of the different sample points. In this...
An improved monocular vision method is studied for intelligent vehicle to detect the preceding car in the structural road environment. Through identifying the edges of the car, the object is detected; the false object is eliminated and the eligible object expressed as a 2-D model is acquired. Then the location of object in the next frame is predicted by Kalman filter, and the object is detected near...
One of the biggest shortcomings in the traditional mobile public information system is lack of a reasonable mechanism for data mining, which can not be reasonably classification of the publish information and scientific analysis of the public feedback information. In order to compensate for this shortfall, we describe a public service information and public feedback-based intelligent mobile public...
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...
Segmentation is an important step in medical image analysis. This process is crucial but challenging due to inhomogeneneity in intensity of images. In addition, the images are often corrupted by noise and with contrast edges. There are some approaches aiming to cope with this kind of images such as: region growing, region competition, watershed segmentation, global thresholding, and active contour...
In this paper, we will present a cathode film with a configuration of spaced and densely populated small CNT clusters. Depending on the particular process to be described here and the desired application, randomly located clusters ranging from 1-2 μm in size with densities > 106/cm2 to single or a few CNTs with densities > 107/cm2 can be fabricated. Combined with optimal growth conditions, these...
In the past decades, the main focus of optimization studies including multi-objective optimization was placed on finding the global optimum or Pareto-optimal solutions. However, in practical engineering, users may not always be interested in finding the so-called global best solutions, particularly when these Pareto-optimal solutions are quite sensitive to the variable perturbations, which cannot...
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