IIIT-Delhi Institutional Repository

Browsing Year-2020 by Issue Date

Browsing Year-2020 by Issue Date

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  • Predicting deep learning architecture 
    Chauhan, Arushi; Vatsa, Mayank (Advisor); Singh, Richa (Advisor) (IIIT-Delhi, 2020-06-02)
    Convolutional neural networks are being extensively used in real world applications like image and video classification, natural language processing, medical image analysis, recommender systems etc. where previously machine ...
  • Filter-based reinforcement learning for adaptive optimal control of continuous-time dynamical systems 
    Kaur, Avneet; Bharti, Moh; Roy, Sayan Basu (Advisor); Banerjee, Shilpak (Advisor) (IIIT-Delhi, 2020-06-02)
    The Report describes the Linear Quadratic Regulator(LQR) and the study of the linear systems on different types of systems i.e single agent and multi-agent systems.Different approaches are available for creating an optimal ...
  • K-center problems 
    Ahuja, Yajur; Das, Syamantak (Advisor) (IIIT-DElhi, 2020-06-03)
    We consider a generalization of the classical K-center problem with capacities, demands, and outliers. The capacitated K-center problem adds a constraint to the original K-center problem of every vertex having a capacity ...
  • Taboos in Education 
    Tomar, Yash; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2020-06-03)
    Taboo is prohibition or restriction by social custom. So generally teaching a taboo topic is not easy for a teacher as well a student might feel hesitated to ask doubts for the taboo topics.We aim to study can VR help ...
  • Scalable and accurate detection of semantic clones 
    Agarwal, Navdha; Purandare, Rahul (Advisor) (IIIT-Delhi, 2020-06-03)
    Code clone detection plays an important role in software maintenance and evolution. There are many new applications emerging that rely on clones detected across software systems, and hence to address this, many code clone ...
  • Shepherding large swarms with visibility constraints 
    Bhatia, Vedant; Sujit, PB (Advisor) (IIIT-Delhi, 2020-06-04)
    The shepherding problem is a problem setting in the multi-agent systems domain. The primary aim is to guide or ‘shepherd’ a swarm of unwilling agents to a destination, with the help of autonomous agents. We explore this ...
  • Knowledge graph construction from text 
    Saini, Vipul; Mutharaju, Vijaya Raghava (Advisor); Chakraborty, Tanmoy (Advisor) (IIIT-Delhi, 2020-06-05)
    Knowledge graphs have become quite popular and their utility is increasing at a very fast rate. There exist numerous extensive knowledge graphs that contain information on a plethora of topics. With new information ...
  • Developing an objective measure for research publications 
    Jain, Shubhi; Singh, Pushpendra (Advisor) (IIIT-Delhi, 2020-06-05)
    Using the publicly available data-sets and the surveys, we aim to design a web-portal that would be able to provide insights into venues that are considered important for research as well as information of researchers ...
  • Online bipartite matching 
    Aggarwal, Aayush; Das, Syamantak (Advisor) (IIIT Delhi, 2020-06-06)
    We are given a bipartite graph G(R, S, E) (|R| = |S|), where R denotes the set of requests and S being the set of servers. The requests R (given by an adversary) arrive sequentially along with their distances to each of ...
  • Ontology learning from text 
    Sachdeva, Nikhil; Mutharaju, Vijaya Raghava (Advisor) (IIIT-Delhi, 2020-06-08)
    Ontology Learning is the semi-automatic and automatic extraction of ontology from a natural language text, using text-mining and information extraction. Each ontology primarily represents some concepts and their corresponding ...
  • Memory-efficient filter based policy iteration zero sum two player differential game for adaptive LQR 
    Singh, Mandeep; Roy, Sayan Basu (Advisor) (IIIT-Delhi, 2020-07)
    A memory efficient filter based iterative algorithm is proposed for a two-player zero sum linear differential game problem arising in the control of process systems affected by disturbances.The objective in such a scenario ...
  • Signals matter: understanding popularity and impact of users on stack overflow 
    Shah, Daksh; Kumaraguru, Ponnurangam (Advisor) (IIIT- Delhi, 2020-12)
    Stack Overflow, a Q&A site on programming, awards reputation points and badges (game elements) to users on performing various actions. Situating our work in Digital Signaling Theory, we investigate the role of these game ...
  • Social media data analysis - NaMo app 
    Rajpal, Rohan; Kumaraguru, Ponnurangam (Advisor) (IIIT- Delhi, 2020-12)
    This project aims to characterize the role of the NaMo app in shaping political discourse on social media. The Narendra Modi app, or the NaMo app, is the official app ofthe Prime Minister of India. It has an inbuilt social ...
  • Emoji analysis: a study on the use of skin tone modifiers on social media 
    Bansal, Tanmay; Kumaraguru, Ponnurangam (Advisor) (IIIT- Delhi, 2020-12)
    In 2015, Unicode introduced five different skin tone modifiers, that could be applied to the existing emojis that denoted humans. In this project, we analyze how people pose certain personalities using emoji skin colour ...
  • Analysis and modelling of disfluency and as units for automatic scoring of L2 speakers 
    Mohan, Gandharv; Sharma, Akash; Shah, Rajiv Ratn (Advisor) (IIIT-Delhi, 2020-12)
    In this project, we attempt to understand how dis uencies in speech can be used in providing feedback for automated oral pro ciency scores in the context of spontaneous speech for L2 learn- ers of English. Our aim is to ...
  • Characterization of novel short proteins in the human microbiome 
    Mrinal; Gautam, Prutyay; Ray, Arjun (Advisor) (IIIT-Delhi, 2020-12)
    The project is based on applying Machine Learning tools and di erent analysis techniques to identify which protein features in metagenomes sampled from Human and Non-Human (other mammal species) microbiomes help them impart ...

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