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This paper presents the issue of capacity variable routing in Satellite-HAP system networks with multicasting capabilities, for different traffic types, with the objective of minimizing the short term traffic load oscillations and reacting to the long term changes of the traffic loads. This is realized by learning from the past and using it to influence the current decision. Some of the major QOS...
Most wavelet filters that constructed based on Daubechies compactly-supported wavelet construction theory have nonlinear phase and irrational number coefficients. Nonlinear phase may cause distortion in image processing, and irrational filter coefficients will cause much inconvenience for wavelet applications on computer, especially for embedded processor applications. With thought of the theory of...
With the development of Internet, the efficient network management of heterogeneous network devices from different vendors becomes more and more difficult. The Network Configuration Protocol (NETCONF) is presented as a new solution. But it can't be widely used in current networks soon because most devices are based on Simple Network Management Protocol (SNMP) and Command Line Interface (CLI). Therefore...
WiMAX is a technology based on IEEE 802.16 standard that enables the delivery of last mile wireless broadband access as an alternative to wired access such as cable or DSL. WiMAX can provide mobile wireless broadband connectivity without the requirement for direct line-of-sight with a base station. With the development of wireless network, WiMAX has the characteristics of long transmission distance,...
Semantic Web applications meet a serious problem in practice: the shortage of semantic data (ontologies). Since the vast majority of data are still stored in relational databases, they are unavailable for the most next generation Web applications, such as Semantic Digital Libraries. Therefore, it becomes one of core challenges of Semantic Web whether applications can automatically retrieve semantic...
For multi-signal separation and frequency tracking problems, this paper conducted a study and simulation of PAST and Root-MUSIC algorithm, and then pointed out that: due to the signal noise and subspace approach method of PAST algorithm, the solutions may contain many disturbance items. The original Root-MUSIC algorithm can not effectively eliminate the disturbance. This paper presents an improved...
In this paper we consider the approximate controllability for a class of semilinear delayed control systems described by a semigroup formulation with boundary control and nonlinear perturbations appearing in boundary conditions. Sufficient conditions for approximate controllability are established provided the approximate controllability of corresponding linear systems.
A new network for fuzzy-neural system was proposed based on the analysis and comparison of existing methods, which could be easy to distill the fuzzy rules. The network structure was adjusted by FBP(Fuzzy Back Propagation) learning algorithm to acquire network parameters and variable weights. By aiming at disadvantage of IP algorithm on rule-optimization, the Improved Iterative Pruning Neural Network...
The purpose of this paper was to model the daily stem water content with neural network. The output voltage of stem water content sensor changed as time series. In order to ensure the accuracy of the model, coefficients sc and eg must be adjusted with the RBF NN input vector changed. The dimensions of input vectors were grouped from 2, 4, 5 separately. After being grouped, observed data were input...
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,...
Genetic Algorithms (GA) are search and optimization algorithms and as such are used for minimizing or maximizing a given function and if possible finding its most suitable solution. They can be used for finding a solution to problems that are difficult to solve with traditional optimization techniques, including problems that are not well defined or difficult to be mathematically modeled, such as...
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...
A intelligent monitor and control system on multi-factor of aquaculture environment based on wireless sensor networks is designed adopting BP neural networks. The system uses wireless sensor nodes to detect a variety of water quality parameters transmitted to the on-site monitoring host computer through sink node wirelessly. The control module consists of fuzzy controller and decoupling neural network...
A fuzzy sliding mode controller based on radial basis function neural network (RBFNN) for permanent magnet synchronous machine (PMSM) is investigated in this paper, in which direct torque control (DTC) concept, variable structure control and space vector modulation (SVM) are integrated to achieve high performance. Fuzzy logic is used to adjust the gain of the corrective control of the sliding mode...
In this paper, an efficient scheduling algorithm based on critical path suitable for dependent tasks (DAG scheduling) in grid computing has been presented. With the object to shorten the makespan greatly, a new approach for constructing the task list has been developed, and an efficient processor selection procedure has also been developed.
Illumination and expression variation are the major challenges in the face recognition. This paper presents comparative analysis of two normalization techniques namely, DCT in Log domain and 2-point normalization method.. The DCT is employed to compensate for illumination variations in the logarithm domain. Since illumination variation lies mainly in the low frequency band, an appropriate number of...
A method aimed at minimizing image noise while optimizing contrast of image subtle features based on nonsubsampled contourlet transform is presented in this paper. Nonsubsampled contourlet transform, which is a shift-invariant version of the contourlet transform, has better performance in representing image edges than separable wavelet for its anisotropy, directionality and shift-invariance, and is...
Fault diagnosis for wireless sensor is very important to ensure signal acquisition precision. Radial basis function (RBF) neural network has strong classification ability. However, the selection of the connection weights, the hidden centers and the widths has an important influence on the classification performance of the RBF neural network in the learning process of RBF neural network. Thus, ant...
This paper deals with the tracking control of robot manipulators. Proposed is a class of new SM-NPID-like tracking controllers consisting of a linear combination of the linear sliding mode control, proportional control, derivative control, nonlinear control shaped by a nonlinear function of position errors, linear integral control driven by differential feedback, and nonlinear integral control driven...
Grid computing is increasingly being viewed as the next phase of distributed computing. Built on pervasive Internet standards, grid computing enables organizations to share computing and information resources across department and organizational boundaries in a secure, highly efficient manner. Grid computing originates in e-Science and its early development was driven to a large extent by the requirements...
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