B
Bhawani Shankar Chowdhry
Researcher at Mehran University of Engineering and Technology
Publications - 205
Citations - 1291
Bhawani Shankar Chowdhry is an academic researcher from Mehran University of Engineering and Technology. The author has contributed to research in topics: Wireless sensor network & Computer science. The author has an hindex of 14, co-authored 173 publications receiving 790 citations. Previous affiliations of Bhawani Shankar Chowdhry include Yahoo! & Indian Institute of Chemical Technology.
Papers
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Journal ArticleDOI
Mobile DDR IO Standard Based High Performance Energy Efficient Portable ALU Design on FPGA
TL;DR: This work is making energy efficient ALU using the most energy efficient LVCMOS IO standard for the highest frequency of i7 processor and making this ALU portable using MOBILE DDR IO standard in place of default LVCmOS33 IO standard which the authors use in traditional ALU.
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MedChatBot: An UMLS based Chatbot for Medical Students
TL;DR: The development of a chatbot for medical students, that is based on the open source AIML based Chatterbean, is described, customized to convert natural language queries into relevant SQL queries.
Proceedings Article
Internet of Things (IoT) enabled smart animal farm
Muhammad Hunain Memon,Wanod Kumar,Azam Rafique Memon,Bhawani Shankar Chowdhry,Muhammad Aamir,Pardeep Kumar +5 more
TL;DR: This paper develops an IoT based smart animal farm that should provide feed and water as required, exhaust the excess of biogas which is produced by the animals' waste, and detect fire in the farm.
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IoTs Enable Active Contour Modeling Based Energy Efficient and Thermal Aware Object Tracking on FPGA
Sayed Hyder Abbas Musavi,Bhawani Shankar Chowdhry,Tanesh Kumar,Bishwajeet Pandey,Wanod Kumar +4 more
TL;DR: This work has designed IoTs enable power efficient and thermal aware frame buffer to store the frames and uses that frame to detect changes in object position and embedding a 128-bit IPv6 address into frame buffer.
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MUHAFIZ: IoT-Based Track Recording Vehicle for the Damage Analysis of the Railway Track
TL;DR: This work proposed, Muhafiz, a prototype that is an automated and portable TRV with a novel design based on axle-based acceleration methodology for rail track fault diagnosis that is 87% more efficient than the traditional push trolley-based TRV mechanism.