DSpace at IIIT-Delhi: Recent submissions

  • Network analysis of neuro-cognitive processes: studying mcgurk effect using EEG data 
    Malik, Manasi; Bagler, Ganesh (Advisor); Banerjee, Arpan (Advisor) (IIITD-Delhi, 2019-05-31)
    We perceive the world around us through multiple senses. Perception of different senses is linked to different regions in the brain. Integration of the perception of objects through multiple senses enables the brain to ...
  • Multimodal fake news detection on online social 
    Dabas, Karan; Kumaraguru, Ponnurangam (Advisor); Chakraborty, Tanmoy (Advisor); Shah, Rajiv Ratn (Advisor) (IIITD-Delhi, 2018-04-18)
    The rapid growth in the amount of fake news on instant messaging platforms and social media is a very serious concern in our society. Moreover, the ubiquitous availability of smartphones, affordable network infrastructure, ...
  • Semi supervised accent invariant speech recognition 
    Venkadeswaran, Aravaida Kumaran; Anand, Saket (Advisor) (IIITD-Delhi, 2019-04-28)
    Automatic Speech Recognition which is aimed at enabling a more natural form of human-machine interaction has been an area of research for decades now and many breakthroughs have been made in this eld. The performance of ...
  • Studying functional brain networks arising during stroop and trail-making tests using EEG signals 
    Singh, Lakshya; Singh, Aryan; Gupta, Anubha (Advisor) (IIITD-Delhi, 2019-04-14)
    In the eld of cognitive neuroscience and biomedical engineering, there has been an increasing interest in the eld of study of functional brain networks. This allows us to have a better understanding of it's responses to ...
  • Camera and RADAR sensor fusion for vehicular applications 
    Mondal, Arpan; Ram, Shobha Sundar (Advisor); Anand, Saket (Advisor) (IIITD-Delhi, 2018-07-09)
    This report is a brief literature study for applications of sensor fusion for making a robust and cheap advanced driver assistance service. We would mainly look into fusion of vision and RADAR, and look into various ...
  • Image forensics 
    Jain, Anubhav; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIITD-Delhi, 2018-01-09)
    Digital alterations have become a common trend on social media websites as well as in the entertainment industry, with magazine printing altered images of celebrities to make them look more attractive. Advancements in ...
  • Enabling data communication over solar PV cells 
    Zaman, Arshan; Singh, Shivam; Mitra, Abhijit (Advisor); Srivastava, Anand (Advisor); Visweswaran, G S (Advisor) (IIIT-Delhi, 2019-07-10)
    As the telecom services evolve towards 5G, service providers are exploring innovative technologies which are easier to deploy, provide high data rate communication and enable dense network connectivity at a low cost. Visual ...
  • SiegeBreaker : multi-client support 
    Sagar, Himanshu; Chakravarty, Sambuddho (Advisor) (IIIT-Delhi, 2018-11)
    Decoy Routing, the use of routers (rather than end hosts) as proxies, shows great promise as an anti-censorship mechanism. To use a Decoy Router, the user sends specially crafted packets, apparently to an uncensored website. ...
  • PickMe : task allocation in mobile crowdsensing 
    Bajaj, Garvita; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2018)
    I am eternally grateful to a lot of people who, in no particular order, have helped me get through the tough times during the course of this dissertation. I have no words to thank my lovely parents who have always taught ...
  • Identifying and mitigating cross-platform phone number abuse on social channels 
    Gupta, Srishti; Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2019-01)
    Online Social Networks (OSNs) have become a huge aspect of modern society. Social network usage is on a rise, with over 2 billion people using it across the globe, and the surge is only expected to increase. Online Social ...
  • Deep dictionary learning 
    Singhal, Vanika; Majumdar, Angshul (Advisor) (IIIT-Delhi, 2019-08)
    Currently there are three basic frameworks in deep learning - stacked autoencoders (SAE), deep belief network (DBN) and convolutional neural network (CNN); SAE and DBN can be applied to arbitrary inputs but CNN can only ...
  • End-to-end performance analysis of MIMO-OFDM based wireless transceivers in the presence of hardware impairments 
    Aggarwal, Parag; Bohara, Vivek Ashok (Advisor) (IIIT-Delhi, 2019-05)
    Wireless communication systems based on multi-antenna multi-carrier modulation techniques such as multi-input-multi-output (MIMO) orthogonal frequency division multiplexing (OFDM) have become the state-of-art method for a ...
  • Vision assisted guidance techniques for quadrotor landing 
    Gautam, Alvika; Sujit, PB (Advisor); Saripalli, Srikanth (Advisor) (IIIT-Delhi, 2019-05)
    Rotary vehicles like quadrotors, have become an essential part of many applications like mapping, object delivery, tracking, patrolling, and communication relay, etc. A key requirement for these applications is that the ...
  • Enforcing privacy for location based services 
    Saxena, Anuj Shanker; Goyal, Vikram (Advisor); Bera, Debajyoti (Advisor) (IIIT-Delhi, 2019-04)
    The ubiquity of mobile devices has led to the deployment of many mobile applications for providing different types of services, like internet access, route recommendation, cab finder, nearby friends, etc. Some of these ...
  • Understanding the role of active scans for their better utilization in large-scale wifi networks 
    Jaisinghani, Dheryta; Naik, Vinayak (Advisor); Kaul, Sanjit Krishnan (Advisor) (IIIT-Delhi, 2019-04)
    A WiFi client needs to discover access points (APs) in its vicinity before it can establish a WiFi connection and initiate a data transfer. Discovery is also essential for a client to stay connected to an AP deemed best ...
  • Analytical techniques towards identification of human brain functional networks 
    Aggarwal, Priya; Gupta, Anubha (Advisor) (IIIT-Delhi, 2018-12)
    Human brain is a large scale complex network of different but functionally coupled brain regions. These functionally coupled brain regions together form functional brain networks (fBNs). Identification of these networks ...
  • Detecting anomalous energy consumption in buildings using smart meter data 
    Lone, Haroon Rashid; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2018-12)
    Buildings consume 50% of the total available electrical energy. Studies show that up to 20% of the energy gets waste due to several reasons such as appliance misconfigurations, faults, and abnormal user behavior. The ...
  • Forensics enabled secure mobile computing system for enterprises 
    Govindaraj, Jayaprakash; Gupta, Gaurav (Advisor); Chang, Donghoon (Advisor) (IIIT-Delhi, 2018-05)
    The enterprises are facing constant security threats with the emergence of new mobile computing devices like smartphones, smartwatches, and wearables. The existing digital forensic enabled security solutions are not able ...
  • Indexing and query processing in RDF quad-stores 
    Leeka, Jyoti; Bedathur, Srikanta (Advisor) (IIIT-Delhi, 2017-12)
    RDF data management has received a lot of attention in the past decade due to the widespread growth of Semantic Web and Linked Open Data initiatives. RDF data is expressed in the form of triples (as Subject - Predicate - ...
  • Unraveling representations for face recognition : from handcrafted to deep learning 
    Goswami, Gaurav; Singh, Richa (Advisor); Vatsa, Mayank (Advisor) (IIIT-Delhi, 2018-11)
    Automatic face recognition in unconstrained environments is a popular and challenging research problem. With the improvements in recognition algorithms, focus has shifted from addressing various covariates individually to ...

Search Repository

Browse

My Account