Browsing by Author "Roshan, S."

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    Capturing important information from an audio conversation
    (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.
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    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.
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    Model selection among log-normal, Weibull, Gamma and generalized exponential distributions
    (2018) Roshan, S.; Mohan, B.R.; Kumar, M.; Vandanapu, N.
    We conduct discrimination among four important life distributions - Log-Normal distribution, Weibull distribution, Gamma distribution and Generalized Exponential distribution. In this paper, we have assumed that the data is coming from either of these four distributions. For the purpose of analyzing lifetime data in the field of reliability analysis, these distributions have been extensively used. Even though adequate amount of research work has been done which focuses on discriminating between two or three distributions, enough work has not been done in choosing among more than three distributions. We have used three goodness of fit tests, namely, KS test, AIC test and BIC test to choose the best fitting model. The task of choosing the right model becomes difficult when we have to discriminate among closely fitting models. We have used probability of correct selection to further validate the results of the discrimination process. The probability of correct selection is calculated using asymptotic distributions. For illustration, we have analyzed two real life data sets. � 2017 IEEE.
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    Performance evaluation of web browsers in iOS platform
    (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.
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    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.
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    Project spear: Reporting human trafficking using crowdsourcing
    (2017) Roshan, S.; Vinay, Kumar, S.; Kumar, M.
    Human trafficking is a severe crime which is prevailing in the society. It is hard to track and report incidents of human trafficking to the concerned authorities, due to the complex nature of this crime. This paper introduces a crowdsourcing approach to report incidents of human trafficking, using a mobile application. Crowdsourcing is the practice of obtaining information from a large number of people. Information about human trafficking incidents reported using this mobile application is forwarded to the concerned authorities of the country where the crime has been reported. A user can also upload crime scene photos and provide details of the crime location using Global Positioning System. The mobile application introduced in this paper currently focuses on top ten countries which have the highest rates of human trafficking in the world, while very basic support for the rest of the countries. Since the process of reporting human trafficking incidents to the authorities can be complex, time consuming and dangerous, the mobile application allows users to stay anonymous. The aim of this mobile application is to create huge impact in the fight against human trafficking, by using the collective power of the crowd to report incidents of human trafficking. Also, a section of the mobile application is dedicated to educating the user about basic knowledge of human trafficking, its types and measures taken by various governments to fight against it. � 2017 IEEE.
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    Project spear: Reporting human trafficking using crowdsourcing
    (Institute of Electrical and Electronics Engineers Inc., 2017) Roshan, S.; Vinay Kumar, S.; Kumar, M.
    Human trafficking is a severe crime which is prevailing in the society. It is hard to track and report incidents of human trafficking to the concerned authorities, due to the complex nature of this crime. This paper introduces a crowdsourcing approach to report incidents of human trafficking, using a mobile application. Crowdsourcing is the practice of obtaining information from a large number of people. Information about human trafficking incidents reported using this mobile application is forwarded to the concerned authorities of the country where the crime has been reported. A user can also upload crime scene photos and provide details of the crime location using Global Positioning System. The mobile application introduced in this paper currently focuses on top ten countries which have the highest rates of human trafficking in the world, while very basic support for the rest of the countries. Since the process of reporting human trafficking incidents to the authorities can be complex, time consuming and dangerous, the mobile application allows users to stay anonymous. The aim of this mobile application is to create huge impact in the fight against human trafficking, by using the collective power of the crowd to report incidents of human trafficking. Also, a section of the mobile application is dedicated to educating the user about basic knowledge of human trafficking, its types and measures taken by various governments to fight against it. © 2017 IEEE.