Patents by Inventor Narasimhan Kannan

Narasimhan Kannan has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20080220499
    Abstract: The present invention relates to an extracellular enzyme protease obtained by growing the culture of Pseudomonas aeruginosa MCM B-327 isolated from vermiculture pit soil and deposited in MTCC, IMTECH, Chandigarh with designation MTCC 5270, in production medium of pH 7.0; containing soybean meal and tryptone as raw materials, at 30° C. for 72 h. The organism was also able to produce protease using different agricultural products/byproducts as protein sources. The partially purified non-collagenolytic, calcium independent protease with molecular weight 60 kDa has activity in pH range of 6.0-11.0 and temperature range of 25-65° C.; stability in pH range of 6.0-10.0 and temperature 25-45° C. The protease activity was retained for 8 months when stored at ambient temperature. Ammonium sulphate precipitated enzyme was able to completely dehair animal skins and hides without chemicals like lime, sodium sulphide and calcium.
    Type: Application
    Filed: October 31, 2007
    Publication date: September 11, 2008
    Inventors: Smita Shrikant Nilegaonkar, Vasudeo Pandharinath Zambare, Pradnya Pralhad Kanekar, Prashant Kamalakar Dhakephalkar, Seema Shreepad Sarnaik, Narasimhan Kannan Chandra Babu, Baddipudi Ramaniah, Rama Rajaram, Thirumalachari Ramasami, Yegnisettipalli Krishnaiah Saikumari, Padmanabhan Balaram
  • Patent number: 5371807
    Abstract: A text classification system and method that can be used by an application for classifying natural language text input into a computer system having a domain specific knowledge base that includes a knowledge base having a plurality of categories. The text classification system classifies input natural language input text by first parsing the natural language input text into a first list of recognized keywords. This list is then used to deduce further facts from the natural language input text which are then compiled into a second list. Next, a numeric similarity score for each one of the plurality of categories in the knowledge base is calculated which indicates how similar one of the plurality of categories is to the natural language input text. A dynamic threshold is then applied to determine which ones of the plurality of categories are most similar to the recognized keywords of the natural language input text.
    Type: Grant
    Filed: March 20, 1992
    Date of Patent: December 6, 1994
    Assignee: Digital Equipment Corporation
    Inventors: Michael S. Register, Narasimhan Kannan