Ankit Kant

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Vrije Universiteit Brussel

Manuel David Masseno

Instituto Politécnico de Beja

David Seamon

Kansas State University

Vincent Blok

Wageningen University

Corey Brettschneider

Brown University

Roshan Chitrakar

Nepal College of Information Technology

Indiana University

Jazan University

Tampere University

Suez Canal University

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Papers by Ankit Kant

Dynamic Decompression For Text Files

Compression algorithms reduce the redundancy in data representation to decrease the storage requi... more Compression algorithms reduce the redundancy in data representation to decrease the storage required for that data. Lossless compression researchers have developed highly sophisticated approaches, such as Huffman encoding, arithmetic encoding, the Lempel-Ziv (LZ) family, Dynamic Markov Compression (DMC), Prediction by Partial Matching (PPM), and Burrows-Wheeler Transform (BWT) based algorithms. Decompression is also required to retrieve the original data by lossless means. A compression scheme for text files coupled with the principle of dynamic decompression, which decompresses only the section of the compressed text file required by the user instead of decompressing the entire text file. Dynamic decompressed files offer better disk space utilization due to higher compression ratios compared to most of the currently available text file formats.

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VIEWFINDER: Navigation and Aid System for the Visually Impaired

Proceedings of the 8th Indian Conference on Human Computer Interaction, 2016

This paper describes a navigation and aid system for the recently visually impaired. This system ... more This paper describes a navigation and aid system for the recently visually impaired. This system uses various data sources and a human vision inspired camera systemto provide information and recommendations to the users.The system while being primarily for navigationwill be extensible so as to aid in all aspects of the user's life.By being completely hands-free and unobtrusive it will allow for a normal experience for both the user and the people around him.