Orthogonal Ramanujan Sums, its properties and Applications in Multiresolution Analysis

Signal processing community has recently shown interest in Ramanujan sums which was defined by S.Ramanujan in 1918. In this paper we have proposed Orthog- onal Ramanujan Sums (ORS) based on Ramanujan sums. In this paper we present two novel application of ORS. Firstly a new representation of a finite length signal is given using ORS which is defined as Orthogonal Ramanujan Periodic Transform.Secondly ORS has been applied to multiresolution analysis and it is shown that Haar transform is a spe- cial case

Technique for proficiently yielding Deep-Web Interfaces Using Smart Crawler

Now a days, world web has most famous because of web as well as internet increased development and its effect is that there are more requirements of the techniques that are used to improve the effectiveness of locating the deep-web interface. A technique called as a web crawler that surfs the World Wide Web in automatic manner. This is also called as Web crawling or spidering. In proposed system, initial phase is Smart Crawler works upon site-based scanning for mediatory pages by implementing search engines. It prevents the traffic that colliding with huge amount of pages. Accurate outcomes are taken due to focus upon crawl. Ranking of websites is done on the basis of arrangements on the basis of the priority valuable individuals and quick in-site finding through designing most suitable links with an adaptive link-ranking. There is always trying to search the deep web databases that doesn’t connected with any of the web search tools. They are continuous insignificantly distributed as well as they are constantly modifying. This issue is overcome by implementing two crawlers such as generic crawlers and focused crawlers. Generic crawlers aggregate every frame that may be found as well as it not concentrate over a particular subject. Focused crawlers such as Form-Focused Crawler (FFC) and Adaptive Crawler for Hidden-web Entries (ACHE) may continuous to find for online databases on a specific subject. FFC is designed to work with connections, pages as well as from classifiers for focused crawling of web forms and it is extended through adding ACHE with more components for filtering and adaptive link learner. This system implements Naive Bayes classifier instead of SVM for searchable structure classifier (SFC) and a domain-specific form classifier (DSFC). Naive Bayes classifiers in machine learning are a bunch of clear probabilistic classifiers determine by implementing Bayes theorem with solid (gullible) freedom assumptions from the components. In proposed system we contribute a novel module user login for selection of authorized user who may surf the particular domain on the basis of provided data the client and that is also used for filtering the results. In this system additionally implemented the concept of pre-query as well as post-query. Pre-query works only with the form and with the pages that included it and Post-query is utilizes data collected outcomes from form submissions

Hexacyanoferrate(III) as a Primary Standard for the Determination of Sb(III) in Bicarbonate Medium

216-21

Design and Analysis of Double layer Microstrip patch antenna

Volume 2 Issue 1 (January 2014

A case of partial anonychia with a review of literature

Anonychia (absence of the nails) from birth is a rare congenital anomaly. It may occur as an isolated sign, which is very rare or be accompanied by other defects of the digits and other structures. Of these abnormalities, the most frequent are some hypoplastic nails, absence of distal phalanges etc, this is incomplete anonychia. The mode of inheritance of most of these disorders has not yet been established with certainty. Very few cases of anonychia with the above mentioned disorders have been reported but this is probably the first report of a case of anonychia along with congenital absence of umbilicus.&nbsp

Wireless Controlled Door-Bell

Now-a- day\u27s wireless control of appliance is in practice, because of its advantage like no wire is needed, multiple controlling is less complicated. The controlling range of wireless doorbell is 100M. As the wireless doorbell is wireless based project, it is divided into two major section i.e. transmitter and receiver. Transmitter: This transmitter section is designed around oscillator transistor (BF194B) T2 followed by two transistor (BC148) T1 and T3. Transistor T2 generate special radio frequency determined by trimmer (variable capacitor) and coil. Transistor T1 is used as pulse generator. The output from transistor T3 is given to emitter of transistor T2 in order to get radio frequency from its collector. Trimmer VC1 is used to adjust the transmitter frequency. Receiver: The receiver section is further divided into two main sections i.e. RF amplifier section and bell trigger section. An aerial is used to receive the transmitted frequency from remote which is further amplified by amplifier and trigger circuit. The whole receiver circuit utilizes seven transistors

Study of Microstrip filters

Volume 2 Issue 1 (January 2014