Flexray is inclusive solution to managing communication between multiple ECUs (Electronic Control Units) in the vehicles. The Flexray protocol specifies versatile message identifiers that can be mapped to specific control information categories. Communications may occur at a maximum recommended rate of 10 Mbit/sec. FlexRay is a nextgeneration automotive control and communication protocol projected for safety-critical automotive applications such as Xby-Wire system, where electronic connections will replace the mechanical linkages. In this paper, we have presented a review, how the Flexray is expanding its area of working and applications in automotive Electronics.

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In this paper, efforts are made to detect the areas such as vegetation, water, soil, built-up area etc. from the satellite images. Landsat 7 ETM+ satellite is used for data set of images. It gives multispectral image with low resolution and panchromatic image with high resolution. For detecting the features of the urban area we require both spatial and spectral information in image. Hence these both images are first fused using different methods. Resultant fused image is then used for classification in various areas. Decision tree algorith m is used to divide the image in various classes. Various indexes such as NDVI, NDWI, SA VI and NDBI are used as decision tree rules. Some modification is done in the NOBI formula. The final results of decision tree algorithm using original and modified NDBI are compared and it was found that the decision tree algorithm using modified NDBI gives more accurate results.

Digital Elevation Models (DEMs) are commonly used to map important topographic parameters such as Vegetation, Slope etc. However the quality of such DEMs depend upon various parameters like Source accuracy, Terrain roughness, Interpolation etc. In many cases errors in this model are neither measured nor estimated. In this paper a highly precise & accurate Cartosat-1 satellite image is used to acquire topographic information. This image is used to evaluate DEM which can later compared with toposheet to check accuracy of generated Model. This paper presents a framework for evaluation of DEM from Cartosat-1. It shows that the quality of DEM can be enhanced by using high resolution satellite data which provide both improved spatial resolution and increased accuracy in all aspects.

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