The relationships between exhaust temperature and its influencing factors,especially the EGR rate,are analyzed and a new algorithm for estimating exhaust temperature is worked out by means of the combination of modeling and statistical fitting.

The adhesive characteristics of tires in cornering with braking are the bottlenecks in the research of entire car performance. So on the basis of the tire mechanical models founded by predecessors and numerous experimental data, a tire mechanical model set up by using statistical fitting methods.

Effects of the airplane postures on antenna pattern are modified. Analysis results of constant γ models,exponent model and four probability distributions are compared with data. It shows that γ model with index n and Weibull distribution,K distribution agree with the measured data and their statistical fitting parameters are also given.

A simple formula is obtained using the method of statistical fitting for calculating the back scattering coefficient of rain media in millimeter (mm) wave band.

Applications to topics in community evolution, species packing and the statistical fitting of species abundance data are mentioned.

Then all vertebral measurements were standardized relative to each other, and means and standard deviations were calculated using a statistical fitting procedure derived from volume and medial area.

We discuss statistical fitting of the model elements in Section 7.

Thus, we transform the problem of pattern classification to one of statistical fitting of a probabilistic model.

There exist abundant multi_metal grains in over 5 000 m deep sea floor.In order to exploit the deep_sea floor mineral,we have taken some deep_sea floor pictures for study.Fig 1 shows a typical picture.There are dark metal grains pixels (the target objects),and grayer sands pixels (the background objects).Point light source is necessarily used when we take pictures for it is very dark in deep_sea floor.However,it causes serious non_uniform illumination in these pictures,which enlarges errors when measuring grain's...

There exist abundant multi_metal grains in over 5 000 m deep sea floor.In order to exploit the deep_sea floor mineral,we have taken some deep_sea floor pictures for study.Fig 1 shows a typical picture.There are dark metal grains pixels (the target objects),and grayer sands pixels (the background objects).Point light source is necessarily used when we take pictures for it is very dark in deep_sea floor.However,it causes serious non_uniform illumination in these pictures,which enlarges errors when measuring grain's radius and calculating mental conservation. [FK(W27。40ZQ] Three simple methods are developed in this paper for removing the non_uniform exposure effects.(1) Local enhacement and filtering.By setting appropriate parameters in the filter,we can force the brightness and contrastness of pixels in a local window into appointed target mean grey and contrast value.As a result,the brightness and contrastness will be improved in insufficient exposure area,partly reducing non_illumination effects.(2)Substracting the source image from the background image,which merely consist of sands pixels by extracting the local maximum grey value.It is not easy to decide the local window size to make it appropriate for not only being large enough to contain at least one pixel of metal grain and one pixel of sands but also being small enough to make the intensity of the point light source distributed approximately equivalent inside this local window.Generally,it changes with the size and density of metal grains in digital image.After image substracting,most of the effects of non_uniform illumination have been removed from the deep_sea floor pictures.(3)Statistical fitting grey distribution and stretching.First we calculate the local maximum and minimum grey value all over the image using the above second method,then fit two planar cubic equations with these statistical data,and then based on the fitted data all over the image,stretch the gray value pixel by pixel. Theoretically,the third method integrates the advantages of the second one,and can completely remove the effects of non_illumination from the image.For analyzing and comparing the transformation of grey value before and after each processing step,we give the trendlines of grey value of pixels in line 263,which reflects the one_dimentional grey and contrastness distribution characteristic in these pictures.From the trendlines,we can draw a conclution that the last approach is more effective than the other two in removing point light source exposure effect from deep_sea floor pictures.In a word,though we do not make use of the ideal model of point light source in the whole experiment,we have also solved the problems.The approaches employed here demonstrate the effectiveness and practical significance.

Based on the active absolute calibration of airborne radar,clutter characteristics of typical terrain (plain,hill,mountain and compound terrain) are measured at L band HH polarization.Effects of the airplane postures on antenna pattern are modified.Analysis results of constant γ models,exponent model and four probability distributions are compared with data.It shows that γ model with index n and Weibull distribution,K distribution agree with the measured data and their statistical fitting parameters...

Based on the active absolute calibration of airborne radar,clutter characteristics of typical terrain (plain,hill,mountain and compound terrain) are measured at L band HH polarization.Effects of the airplane postures on antenna pattern are modified.Analysis results of constant γ models,exponent model and four probability distributions are compared with data.It shows that γ model with index n and Weibull distribution,K distribution agree with the measured data and their statistical fitting parameters are also given.

On the basis of the tire experimental results, using statistical fitting methods in this paper set up a tire mechanical model. The model could be used in the simulating calculation of vehicle in cornering with braking.The fitting result was at the approach to the practical situation and the calculation of the model was simple. It provided an efficient way when modeling difficult with theory utilized the modeling of the data statistics.