Year-2018

 

Recent Submissions

  • Singh, Vikas Vikram; HasmiI, M. S. (Advisor) (IIIT-Delhi, 2018-04-18)
  • Ummalaneni, Vahini; Hashmi, Mohammad (Advisor) (IIIT-Delhi, 2017-04-18)
    In the course of this BTP,low cost chipless RFID tags have been designed. The proposed RFID tags are fully passive devices. They do not require chip assembly or any power supply. In the previous semester, the tag studied ...
  • Agrawaal, Taneea S; Kumaraguru, Ponnurangam (Advisor) (IIIT-Delhi, 2017-07-07)
    Darknet markets, also known as cryptomarkets, are websites located on the Darknet and designed to allow the traffcking of illicit products, mainly drugs. Over the past decade, online advertising became the principal ...
  • IQBAL, MOHD SHOAIB; Ram, Shobha Sundar (Advisor) (IIIT-Delhi, 2017-11-25)
    Frontal radar imaging has been proposed as an alternate technology to cameras for through wall surveillance and law enforcement. Cameras cannot see through wall as optic frequencies do not penetrate walls. On the other ...
  • HIMANSHU; Parnami, Aman (Advisor); Naik, Vinayak (Advisor) (IIIT-Delhi, 2017-11-16)
    According to WHO, mosquito is the most dangerous specie on Earth. It causes deadly diseases like Malaria,Dengue, Chikungunya etc. Mosquitoes are infecting hundreds of millions people and causing millions of deaths each ...
  • Tiwari, Rohan; Sujit, P.B (Advisor); Sundaram, Suresh (Advisor) (IIIT-Delhi, 2018-04-18)
    The focus of our project is to develop testing conditions that involve interaction of Autonomous Vehicles with pedestrians. We aim to simulate all possible situations that could happen in real world deployment involving ...
  • Vithalkar, Amogh; Hashmi, Mohammad S (Advisor) (IIIT-Delhi, 2018-04-18)
    Radio Frequency Identification(RFID) has been gaining popularity recently over barcodes for a wide range of applications like inventory control, supply chain management, manufacturing,etc. With the increasing popularity ...
  • Sethi, Akshay; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIIT-Delhi, 2018-04-17)
    The first part of this work focuses on facial attribute prediction using a novel deep learning formulation, termed as R-Codean autoencoder. The work presents Cosine similarity based loss function in an autoencoder which ...