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In this paper, an ontology-based framework of China Geographic National Conditions Monitoring (CGNCM) land cover extraction is presented. Using statistical analysis method, spectral, texture, spatial features of each land cover class are extracted from the referenced ZY-3 image acquired in summer, 2012. Stored in the form of OWL, the features of one class can be considered as the prototype of this...
This paper proposes a novel method to resolve carrier phase estimation ambiguities based on modulation symbols. The differential time delay between received channels is estimated and then ambiguous number is obtained. Any interelement spacing can be larger than half-wavelength and no redundant antennas are required in this method. Multi-phase shifting keying (MPSK) signal is detailedly analyzed as...
In the field of breast cancer diagnosis, computer-aided diagnosis (CAD) systems can provide doctors important second opinions, relying on the advanced computation ability and artificial intelligence of computing systems. The collaboration between doctors and CAD systems can help reducing the false diagnosis rate. Knowledge representation is an important chain for any artificial intelligence system,...
A compact fourth-order four-stages split-step finite-difference time-domain (SS4-FDTD) method is developed, that achieves higher computation efficiency than the previous original fourth-order SS4-FDTD by reducing the band-width of the system involved. From the stability and dispersion analysis, it can be concluded that the compact fourth-order SS4-FDTD method is also unconditionally-stable and has...
A new strategy of feature classification method for speaker recognition based on the grid-density clustering is presented. According to the concept of density-based and grid-distance-based distribution in the Mel-frequency cepstrum domain, the feature vectors of each speaker were self-adaptively classified into L clusters with less overlapped. With these convex and non-interwoven clusters, the Gaussian...
Base on the ZigBee technology, a wireless sensor networks for remote home environment monitoring and health care monitoring was built in this paper, and the applications of data fusion algorithms in system of front & back end data processing were deeply discussed. The experiment is proved that the applications of data fusion algorithm, which is a combination of Bayesian estimation and fuzzy reasoning,...
Based on two inequalities, the upper and lower bounds of the cutoff wavenumber of the lowest-order TM mode of a pentagonal waveguide family are derived. By means of taking the geometric mean value, an approximate formula to calculate the cutoff wavenumber of the lowest-order TM mode of a pentagonal waveguide family is developed. It is the function of the cross section geometric parameters of the pentagonal...
Taking the advantages of fast convergence, high ability of global optimization in artificial fish-swarm optimization algorithm, this paper optimizes the background sequence, time sequence error and the combination of them in grey model GM (1, 1). Practical examples for GDP prediction are given and the simulation results indicate that the improved model gives better prediction precision and may have...
A simplified approach to analysis of finite and curved conductor-dielectric periodic (CDP) screen is proposed. The contribution of the element in the real structure is estimated by that of the elaborately constructed virtual infinite planar CDP structure. The analytic results based on Floquet theorem are useable for the proposed approach thus high efficiency and accuracy are obtained. The calculated...
Speckle tracking is capable of searching the complete vector velocity but is susceptible to the frame-to-frame image de-correlation. With plane-wave excitation (PWE), the high frame-rate reduces the scatterer displacement and thus increases the signal correlation. Nevertheless, the lower image quality with PWE may suffer from spatial velocity gradient outside the sample volume and reduce the achievable...
In this study, we present a systematic method for early detection of mild cognitive impairment (MCI) from magnetic resonance images (MRI) using image differences and clinical features. Early detection of MCI has pivotal importance to delay or prevent the onset of Alzheimer's disease (AD). Subjects were selected from the Open Access Series of Imaging Studies (OASIS)database and included 89 MCI subjects...
This paper presents a design of power distribution automation terminal based on TMS320F2812 DSP, describes the distribution automation terminal hardware and software design, and studies to improve the system reliability and accuracy of measurement and calculation, especially the accuracy of zero-sequence current. It describes the design methods of Ethernet communication and implements the protocol...
In the paper, an image mosaic algorithm based on SURF feature matching is proposed. The algorithm uses SURF operator which has strong robustness and superior performance to extract features instead of conventional SIFT operator. The extracted features are matched by a novel matching scheme - fast bidirectional matching. Then a RANSAC algorithm is applied to eliminate outliers and obtain the transformation...
As one of the major satellite-estimated surface radiation budget (SRB) dataset, the clouds and the Earth's radiant energy system-monthly gridded radiative fluxes and clouds (CERES-FSW) data have been widely used in various applications. Although CERES/ARM validation experiment (CAVE) has performed the validation work of the input data of CERES-FSW, accuracy of the CERES-FSW data itself is still unknown...
The paper proposes to determine sentence similarities from different aspects. Based on the information people get from a sentence, objects-specified similarity, objects-property similarity, objects-behavior similarity and overall similarity are defined to determine sentence similarities from four aspects. Experiments show that the proposed method makes the sentence similarity comparison more exactly...
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