The purpose of this paper is to study the topological relations of four simple regions. We extend 4-intersection matrix model to 16-intersections matrix model to represent the spatial relations of four simple regions,...
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Well scalability is an important requirement for RFID systems, how to alleviate workload of the backend server so as to deal with large scale tags becomes a challenging research object. Index inner table used in RFID ...
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Well scalability is an important requirement for RFID systems, how to alleviate workload of the backend server so as to deal with large scale tags becomes a challenging research object. Index inner table used in RFID reader can efficiently utilize calculation capacity and storage space of a reader to construct a filter which can sift authentication applications from tags, thus, alleviate workload of the backend server and resist replay attack from an adversary. In this paper, revised index inner table is proposed, then modified structure and filter algorithm, update and sorting algorithm, eraser algorithm of index inner table can be applied in different filter modes according to various factual application environments.
In this paper, one-dimensional (1D) nonlinear beam equations of the form utt - uxx + uxxxx + mu = f (u) with Dirichlet boundary conditions are considered, where the nonlinearity f is an analytic, odd function and f(u)...
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In this paper, one-dimensional (1D) nonlinear beam equations of the form utt - uxx + uxxxx + mu = f (u) with Dirichlet boundary conditions are considered, where the nonlinearity f is an analytic, odd function and f(u) = O(u3). It is proved that for all m ∈ (0, M*] R (M* is a fixed large number), but a set of small Lebesgue measure, the above equations admit small-amplitude quasi-periodic solutions corresponding to finite dimensional invariant tori for an associated infinite dimensional dynamical system. The proof is based on an infinite dimensional KAM theory and a partial Birkhoff normal form technique.
Special physical character and strictly limited resources in tags make RFID systems being confronted with many security problems, mobile reader brings higher design requirements for RFID protocols. In this paper, a li...
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Special physical character and strictly limited resources in tags make RFID systems being confronted with many security problems, mobile reader brings higher design requirements for RFID protocols. In this paper, a lightweight RFID authentication protocol for mobile reader is proposed, this protocol only requires O(1) work to identify and authenticate a tag in the server and is suitable for the low-cost RFID systems. The security and performance of the proposed protocol are analyzed as well.
With the rapid development of Internet, information provided by the Internet has shown explosive growth. In the face of massive and constantly updated information on the Internet, how the user can fast access to more ...
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Robust and automatic thresholding of gray level images has been commonly used in the field of pattern recognition and computer vision for objects detecting,tracking and *** Otsu scheme,a widely used image thresholding...
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ISBN:
(纸本)9781627483766
Robust and automatic thresholding of gray level images has been commonly used in the field of pattern recognition and computer vision for objects detecting,tracking and *** Otsu scheme,a widely used image thresholding technique,provides approving results for segmenting a gray level image with only one modal distribution in gray level ***,it provides poor results if the histogram of a gray level is *** enhancing the performance of the Otsu algorithm further,in this work,an improved median-based Otsu image thresholding algorithm is *** extensive tests are performed and the experiments show that our method obtain more satisfactory results than the original Otsu thresholding algorithm.
Meshed surfaces are ubiquitous in digital geometry processing and computer graphics. The set of attributes associated with each vertex such as the vertex locations, curvature, temperature, pressure or saliency, can be...
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Meshed surfaces are ubiquitous in digital geometry processing and computer graphics. The set of attributes associated with each vertex such as the vertex locations, curvature, temperature, pressure or saliency, can be recognized as data living on mani- fold surfaces. So interpolation and approximation for these data are of general interest. This paper presents two approaches for mani- fold data interpolation and approximation through the properties of Laplace-Beltrami operator （Laplace operator defined on a mani- fold surface）. The first one is to use Laplace operator minimizing the membrane energy of a scalar function defined on a manifold. The second one is to use bi-Laplace operator minimizing the thin plate energy of a scalar function defined on a manifold. These two approaches can process data living on high genus meshed surfaces. The approach based on Laplace operator is more suitable for manifold data approximation and can be applied manifold data smoothing, while the one based on bi-Laplace operator is more suit- able for manifold data interpolation and can be applied image extremal envelope computation. All the application examples demon- strate that our procedures are robust and efficient.
Robust and automatic thresholding of gray level images has been commonly used in the field of pattern recognition and computer vision for objects detecting, tracking and recognizing. The Otsu scheme, a widely used ima...
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Robust and automatic thresholding of gray level images has been commonly used in the field of pattern recognition and computer vision for objects detecting, tracking and recognizing. The Otsu scheme, a widely used image thresholding technique, provides approving results for segmenting a gray level image with only one modal distribution in gray level histogram. However, it provides poor results if the histogram of a gray level is non-bimodal. For enhancing the performance of the Otsu algorithm further, in this work, an improved median-based Otsu image thresholding algorithm is presented. Finally extensive tests are performed and the experiments show that our method obtain more satisfactory results than the original Otsu thresholding algorithm.
The utilization of expert knowledge to construct Bayesian Network (BN) is one of the key issues of uncertain inference. In this paper the learning procedure of BN is simplified by applying data dependencies in relatio...
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The utilization of expert knowledge to construct Bayesian Network (BN) is one of the key issues of uncertain inference. In this paper the learning procedure of BN is simplified by applying data dependencies in relational database, which help to remove extraneous attributes and build the initial network structure. The final classification model named FM-NB inherits the simplicity of Naive Bayes (NB) and the ability to maintain inter-dependencies among attributes of Tree augmented NB(TAN). The inter-dependencies are expressed by Functional dependencies (FDs) and Local Multivalued dependencies (LMVDs), which relaxed the precondition about attribute sets of Multivalued dependency (MVD) and solved the problem related to conditional independence of Embedded Multivalued dependencies (EMVDs). Experimental results are presented to show the effectiveness and efficiency of the proposed approach.
Convex evidence theory model is the only method to fuse ordered proposition, in this paper we proposed a novel convex evidence theory model based on Gaussian function, we modified Gaussian function and used it to comb...
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Convex evidence theory model is the only method to fuse ordered proposition, in this paper we proposed a novel convex evidence theory model based on Gaussian function, we modified Gaussian function and used it to combine mass function of ordered propositions, we presented the calculation of the parameters of this function, and proposed a more accurate method to find the most likely true proposition. Theoretical analysis and experimental results demonstrate that the proposed method has lower time complexity and higher accuracy in some cases than existing methods.
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