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Electrical impedance tomography (EIT), as a relatively new medical imaging method, has desirable advantages of being inexpensive, safe, non-invasive and portable. Complementary to existing methods, it is expected to reconstruct accurate images of impedance changes from the sensor arrays surrounding the boundary. One of the approaches to producing an accurately reconstructed image of the object in question is the inclusion of prior information combined with the structure property and the conductivity contribution information of the object. In this research, structural model is researched, the mesh of the human thorax is automatically refined and a sensitivity matrix incorporating the structural information is calculated. On accomplishment of the conjugate gradient(CG) algorithm, the lung ventilation images are reconstructed, the visualization results and the sensitivity distributions of the structural model make significant improvements in image quality. In addition to the imaging of the overall resistivity distribution within the thorax, the relative resistivity changes traced with the ventilation are analyzed, the acidic activities can be figured out in the ventilation periods.

This study has presented a new classifier - the Partial Least Squares (PLS) classifier including linear and nonlinear based on the Partial Least-Squares Regression theory, then explained the classification algorithm and process of this new classifier, and finally, them have been applied to classify Landsat TM remote sensing data. Results of PLS linear classifier showed that there exist many classify mistake among six kinds of land use types. On the contrary, the nonlinear classifier based on Gaussian kernel function got better classification result, the overall classification accuracy is 79.297% and overall Kappa statistics is 0.74213. So, to remote sensing classification, the nonlinear PLS classifier is basic feasible, however, it is necessary for us to improve its algorithms or learning process further.

Many fundamental and hot band absorption lines of 28 Si 35 Cl + , 28 Si 37 Cl + , 29 Si 35 Cl + , and 30 Si 35 Cl + have been detectedbetween 630 and 700 cm −1 in a SiCl 4 /He discharge using diode laser velocity modulation spectroscopy. The datahave been fitted to give seven mass independent coefficients U kl . The derived spectroscopic constants for 28 Si 35 Cl + include ω e = 678.24316(18) cm −1 and B e = 0.2870288(14) cm −1 . The equilibrium internuclear distance is r e =1.9439105(46) A. The equilibrium dissociation energy calculated from Dunham's expanded Morse potential is D e =49 431(57) cm −1 .