Modified Hough Transform for Road Lane Colorization to Prevent Accidents

Lane coloration is becoming popular in real time vehicular ad-hoc network. This research work focus on providing better performance in lane coloration algorithm by using CLAHE to enhance the input image and also by modifying the Hough transform using the dynamic thresholding to detect curve lanes. Main emphasis is to improve the result of lane coloration algorithm when fog, noise or any other factor is present in the images. The methods developed so far are working efficiently and giving good results in case when the straight lane road images are there. But problem is that they fail or not give efficient results when there are curved lane road images. The experiments results for the road images have shown the significant improvement of the proposed technique over the available one. DOI: 10.17762/ijritcc2321-8169.15010

Desirable properties for XML update mechanisms

The adoption of XML as the default data interchange format and the standardisation of the XPath and XQuery languages has resulted in significant research in the development and implementation of XML databases capable of processing queries efficiently. The ever-increasing deployment of XML in industry and the real-world requirement to support efficient updates to XML documents has more recently prompted research in dynamic XML labelling schemes. In this paper, we provide an overview of the recent research in dynamic XML labelling schemes. Our motivation is to define a set of properties that represent a more holistic dynamic labelling scheme and present our findings through an evaluation matrix for most of the existing schemes that provide update functionality