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Classification of medical data is an important task in the prediction of any disease. It even helps doctors in their diagnosis decisions. Ensemble classifier is to generate a set of classifiers instead of one classifier for the classification of a new object, hoping that the combination of answers of multiple classification results in better performance. Tuberculosis (TB) is a disease caused by bacteria...
In this paper, we propose a non-data-aided (NDA) signal-noise ratio (SNR) estimation algorithm for quadrature amplitude modulation (QAM) signals in additive white Gauss noise (AWGN) channel using Fuzzy logic interface. The NDA SNR estimation algorithm for QAM signals is derived based on a statistical ratio of observables over a block of data. It was shown that SNR can be effectively calculated by...
This paper first analyzes two major methods that create the model of VR, proposes that fabric is suitable for virtual display. Then a fabric display system in virtual reality environments based on web is designed. The system uses 3DS MAX to achieve fusion of fabric's image and display scene's image. And then a VRML file (*.wrl format) is exported from 3DS MAX. The system adopts B/S structure, uses...
Voting algorithms are used in a wide area of control systems from real-time and safety-critical control systems to pattern recognition, image processing and human organization systems in order to arbitrating among redundant results of processing in redundant hardware modules or software versions. From a point of view, voting algorithms can be categorized to agreement-based voters like plurality and...
The advantages of wavelets and their promising features in various application have attracted a lot of interest and effort in recent years. In this article, the notion of two-directional biorthogonal finitely supported trivariate wavelet packets with multi-scale is developed. Their properties is investigated by virtue of algebra theory, time-frequency analysis method and functional analysis method...
In this paper, with the globally-accepted lunar gravitation field models LP165P and GLGM-2, character of the lunar gravitation field models were analyzed based on kaula theory. Then, making use of LP165P models truncated to 70 orders and degrees, the free running time span of lunar satellite of 100 km height were given. Last, a maneuver method for orbit height keeping is presented for 100 km height...
The artificial neural networks (ANNs) have been applied to various hydrologic problems recently. This research demonstrates a temporal approach by applying Jordan and Elman network for rainfall-runoff modeling for the upper area of Wardha River in India. The model is developed by processing online data over time using recurrent connections. Methodologies and techniques of the two models are presented...
In this paper, the non-uniform discrete Fourier transform (NDFT) is utilized to randomly select sampling points in frequency domain, which could make the embedding points private. Furthermore, to improve security two different chaotic maps is used. One chaotic map is used to choose the NDFT domain embedding points for making them unpredictable; the other is used to encrypt the watermark to be embedding...
By the intermittent test, we studied the acid fermentation rule after mixing excess sludge and distiller's grains. The results showed that the control sample and by the proportion of 0.2g/gTS, 0.4g/gTS, 0.6g/gTS added distiller's grains to the 4 reactors, the maximums of SCOD reached 775.83mg/L, 1136.92 mg/L, 1427.77mg/L and 2609.48mg/L, the TS loss ratios were 12.00%, 15.69%, 16.92% and 19.25%. With...
Constructivism as a guide, combined with the characteristics of physical education and practical needs, design “Independence, interaction and innovation” sports network teaching platform which breaking the traditional concepts and methods of teaching, providing students with independent study and learning environment platform. play a positive role in enriching teaching resources, promoting teaching...
The color vision systems require a first step of classifying pixels in a given image into a discrete set of color classes. In this paper we introduce a new method of algorithm partitioning, and color image segmentation based on similarities or dissimilarities of the pixels. We consider fuzzy segmentation with Markov, and normalized cut method. Experiments show these different processes used an effective...
HVS theory plays important role in the application of digital image watermarking technique. When inserting watermarking, the visual masking feature of HVS could be fully used to design digital watermarking algorithm with good perceived performance. When extracting watermarking from the damaged image, human's visual feature could be combined to recover the damaged image so as to obtain better effect...
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