Faculty Publications
Permanent URI for this communityhttps://idr.nitk.ac.in/handle/123456789/18736
Publications by NITK Faculty
Browse
Search Results
Item Capturing important information from an audio conversation(Institute of Electrical and Electronics Engineers Inc., 2017) Roshan, S.; Vinay Kumar, S.; Kumar, M.A conversation between people can involve exchange of important information. Often in an ongoing conversation, someone has to manually keep on taking notes of important points. This is a tedious process and can involve errors. In today's era of technology, there is a need for an automated process for extracting important information from a conversation, with minimal manual efforts. In this paper, we propose methods of transcribing a conversation between two people. We will consider two major modes of conversation-when the conversation is happening over a phone call, and when the conversation is happening in person. In addition to transcribing a conversation, this paper will also suggest ways to extract important parts of a conversation. We will extract important information from a conversation, using three different approaches-noun phrase extraction, named entity extraction and open information extraction method. Since current mobile operating systems provide limited support for transcribing a phone call, we will suggest ways of transcribing a call, and extracting important information from it. © 2017 IEEE.Item Performance evaluation of web browsers in iOS platform(Institute of Electrical and Electronics Engineers Inc., 2017) Roshan, S.; Vinay Kumar, S.; Kumar, M.The number of mobile users have grown tremendously in the past few years. Nowadays, mobile phones are not just used for the purpose of making calls, rather they have become an important modern gadget which helps people in various aspects of their lives. With this increase, a lot of time on mobile is spent in browsing the internet websites through mobile web browsers. Hence, mobile web browsers actually play an important role in the mobile market, and in the lives of the users. In this paper, we have analyzed the performance of six web browsers present in the iOS platform. These web browsers are selected based on their market share in the iOS platform and their popularity. We have evaluated them on different parameters such as browser features, speed, security, performance benchmark tests, plugin support and video streaming. We propose the best web browser based on each parameter used for performance evaluation. Also, we recommend the best web browser based on the overall performance evaluation. © 2017 IEEE.