Abstract:Complementary DNA (cDNA) microarray is one of the most recent and important technology for exploring the genome. cDNA microarray Image analysis aims to measure the intensity for each spot in the scanned image and this intensity represents the amount of a specific gene in the studied cell. This paper presents a new algorithm that achieves an automated way for applying grid in the cDNA microarray images through the determination of spots position in the cDNA microarray and calculating the mean of every raw and column in the microarray image and the result will be a fast automated system for applying addressing (grid) on the microarray image without any human interaction and this automated system starts from the step that follow the sub microarray image cropping.

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WWW has undergone three generations from information web to social web to semantic web. It has started its journey towards the fourth generation which expects wisdom from the web and so termed as the wisdom web. In present era, where computers and internet has become inseparable parts of our life, user wants the Web to sense their requirements and interests and serve the contents accordingly. Search engines play major role in information extraction and delivery and present models of search engines are still struggling for providing personalized information to the users. This work is an extension of authors earlier published article on next generation of WWW where the idea for change in search engine model was coined. In this work author presents knowledge oriented personalized search engine framework which can provide personalized contents to its users. This framework provides a direction for the next generation of WWW and contributes towards wisdom web.

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