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To obtain high property MR images, it is crucial to know the magnetic field evolution. Magnetic field monitoring with NMR probes is an effective method to record the magnetic field evolution. The existing monitoring system is based on the proton signal, so a RF shield should be utilized to eliminate the RF interference between monitoring and imaging. However, eddy current will be induced on the shield...
In the field of crop identification with remote sensing technology, current multi-temporal methods usually do not made full use of target crop's temporal features and spectral features. An improved multitemporal masking classification method was proposed for winter wheat identification in Jiaodong Peninsula. The improved method using four temporal MODIS NDVI product images and two temporal TM surface...
Using GIS technology and the slope stability algorithm, the landslide stability system realizes intellectualized slope monitor calculation. The system can call lots of mainstream limit equilibrium analysis algorithms, read charts and calculate with computer, greatly reduce the influence of errors, and improve the accuracy of the final result, provide reliable basis for monitors. The system is developed...
Intelligent video analysis, which analyzes behaviors of moving objects in the scene, determines their trajectories, morphological changes and detects abnormal behaviors by setting certain rules, is a combination of techniques such as image processing, computer vision, artificial intelligence, and so on. The very algorithm system mainly includes four parts. They are foreground extraction, object recognition,...
Based on more than 260 direct N2O emission fluxes in 93 published Chinese and English journal papers from 31 studying sites (including data from our own study), N2O emission fluxes from various land uses/covers (arable lands, forests, grasslands, swamps and marshes, riparian areas and freshwaters) were compiled and analyzed. Results showed that the annual N2O emissions fluxes ranged from 0.14 to 54...
For single-band and single-polarized SAR, its capability to monitor oil spill is limited based on image intensity. Texture features are suggested to improve accuracy of oil spill surveillance. Texture measures, extracted from GLCM (gray-level co-occurrence matrices), are analyzed, which indicates that mean, contrast, variance, entropy, and dissimilarity are effective for oil identification. SAR image...
The wide spread of worms poses serious challenges to today's Internet.Various IDSes (intrusion detection systems) have been proposed to identify or prevent such spread. These IDSes can be largely classified as signature-based or anomaly-based ones depending on what type of knowledge the system knows. Signature-based IDSes are unable to detect the outbreak of new and unidentified worms when the worms'...
Data mining is the analysis of large observational data sets to find unsuspected relationships and to summarize the data. With the development of the broadcasting and television monitoring, monitoring data in database have become more and more. People hope that these data are both understandable and useful to future work. Therefore, it is very significant to discuss the specific applications of data...
Data mining can be greatly beneficial in many areas, such as telecommunication, broadcasting, television and so on. In order to make sense of alarming data in satellite TV broadcasting monitoring system, an application approach of data mining in satellite TV broadcasting monitoring is discussed in this paper. By introducing an improved algorithm for discovering frequent episodes into satellite TV...
Landslide is a kind of genetic type of slope and has the same characteristics with slope. The major external motivation factor of landslide displacement is groundwater and it is under the control of remedial measures at the same time after its remediation. Chaotic time series of landslide displacement and its influential factors could reflect the history of landslide displacement of dynamic system,...
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