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Dual energy computed tomography technology is of great interest in domains such as medical imaging, security inspection and nondestructive testing. Reconstruction method is very important for Dual energy computed tomography technology. Material decomposed sinograms is the foundation of the current mainstream reconstruction methods. The present algorithms for estimating material decomposed sinograms...
In this paper, an optimal rotating speed tracking method is proposed for doubly-fed induction generator (DFIG) wind turbines. The method employs a fuzzy logic controller to capture the maximum wind power. The generator output power increment, rotating speed increment and the judgment of optimal speed direction signals are all adopted in fuzzy logical system to improve the performance of the conventional...
In this paper, an impulsive controller is designed to achieve exponentially lag synchronization for coupled uncertain unified chaotic systems with stochastic perturbation. Based on a comparison principle for stochastic impulsive systems, drive-response concept and linear matrix inequality (LMI) approach, several easily verified and realistic sufficient conditions in terms of linear matrix inequalities...
Multi-mode matching algorithm is the key to the intrusion detection's performance. The paper analyzes WM algorithm, and shows the main disadvantages of MWM algorithm. Against these defects, we come up with an improved algorithm-IMWM algorithm, which uses repeated hash to solve string prefix conflict and reduce the number of match. Considering matching windows' subsequent characters moving distance...
Computed tomography (CT) has unconquerable advantage over other imaging techniques for detecting lung nodules. The size and the growth rate of lung nodules are the most important indicators for the maglignancy of a lung cancer. Therefore, the accurate segmentation of the lung nodules is of great significance for the diagnosis of the lung cancers. In this paper, we propose a novel method for the segmentation...
The size and growth rate of lung nodules highly correlate with the chance of malignancy and they are the most important indicators for assessment of lung cancer treatment effect. Therefore, accurate segmentation of the lung nodules is greatly significant for the diagnosis and treatment of the lung cancers. In this paper, a novel method is introduced to segment juxta-pleural nodules in CT image data...
The principles of sample entropy algorithm and Lopes-Ruiz complexity are presented in this paper. Integrating sample entropy algorithm into Lopez-Ruiz complexity theory, the authors derive a novel method for studying the hydrological system complexity. The derived method is applied to the monthly mean runoff observation data for Linjiacun, Zhangjiashan and Zhangtou sites in the Weihe watershed area...
Stack filters are a class of slip window nonlinear digital filters that satisfy a weak superposition property known as the threshold decomposition and stacking property. They are suitable to parallel processing. Stack filters include many kinds of nonlinear filters in theory, being an important tool for nonlinear research. Beginning with stack filters's fundamental theory, optimization algorithms...
A combined sintering aid mixture of B2O3 and CuO for lead-free piezoelectric ceramics 0.95K0.5Na0.5NbO3-0.05BaTiO3 (KNN-BT) is introduced. The effects of the mixture sintering aids of 0.6B2O3-0.4CuO on the sintering behavior, microstructure, and electrical properties for KNN-BT are investigated. Adding 2wt% of sintering aids can effectively broaden the narrow range of sintering temperature from 20°C...
As time increasing, the dust particles of air gradually deposited in fibrous filter resulting in the variety of the inner structure of filtration media, which made collection efficiency increase. At this time, the logarithm interpenetration law was no longer valid. In this paper, the mathematics model of concentration distribution of dust particles was established according to the law of quality conservation...
In order to understand the effect of particle motion mechanism and size distribution of dust cake on growth process in fibrous media surface, the pseudo-random movement model was used and Pe number was defined as the ratio of inertia movement and diffusion movement. The impact of proportion of particle inertia movement and diffusion movement on the dust cake growth process on the fibrous media surface...
CTA technology is characterized by the higher clinically practical value in the inspection of the vascular diseases compared with other similar technologies. The bone-subtraction is the key method to improve the quality of CTA subtraction image and promotion of CTA technology. In this paper, a bone-subtraction method of the 3D CTA was proposed. The method includes a bone segmentation algorithm with...
For increasing the classification accuracy of chest DR images between normal and lesion images, and improving the deficiencies of poor generalization ability of traditional statistical theory, a kind of medical image classification method adapting small samples was proposed. In order to get the decision-making function, SVM classifier was applied to study on training set of chest DR images. The test...
Topic similarity computation model is a research hotspot in fields of information retrieval and text classification, etc. From the view of information granularity, this paper integrates traditional content topic identification with event topic identification, and presents a new topic similarity computation model, i.e., first carrying out content identification, secondly event identification. Finally,...
Based on innovation diffusion theory, social cognitive theory, the UTAUT model and empirical researches at home and abroad, and on investigation of the actual situation of China's higher education Informationaization, this paper put forward the ISCIP model. Meanwhile aimed at the early development and management practices, behaviors of the management is analyzed, according to the three factors, the...
Nowadays, the application of neural network technology in the evaluation of third party logistics (3PL) is very limited in China. The reason lies in the difficulty to find high quality training samples for neural network self-learning. This paper adopts uniform design method (UDM) to design representative, uniform and large-scale samples. And then use those samples to train the subtractive clustering...
In this paper, the proposed three-port power divider based on four stages cavity, which is different to the conventional power divider using coupled transmission line. The design and simulated results show that the novel power divider has a good performance, which are insert loss 4.77plusmn0.13 dB from 690 MHz to 2.5 GHz, and return loss less than -18 dB, respectively. In addition, the performances...
Evaluation of customer-oriented service quality (ECSQ) is an important practical measure to increase enterprises' competition capacity. In this article, a performance evaluation indexes system is established. UDM and fussy-mathematics are used to generate enough samples to train self-adaptive RBFNN. The instances of applying RBFNN to do ECSQ shows that its generalization capacity is more powerful...
At present, the application of neural network technology in our country's bank loan risk evaluation is very limited. The reason lies in the difficulty to find high quality training samples for neural network self-learning. Therefore, we adopt uniform design method (UDM) to design representative, uniformity and large-scale samples. And then we use those samples to train the self-adaptive radial basis...
Establishing the supply chain resources share system based on Internet and strengthening the information share extent is the important measure to weaken "bullwhip effect". Every development stage of supply chain information resource share system based on traditional Internet and its limited reduction effect to "bullwhip effect" is expounded. The supply chain share platform model...
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