DOCTORAL THESES (E & C): Recent submissions

  • KEYPHRASE EXTRACTION AND ENRICHMENT FOR NEWS MEDIA 
    Jain, Nikita (Department of Computer Science and Engineering,IITR., 2016)
    As newswire data is growing continuously at a very fast pace, the need for techniques generating instantly digestible and concise format news information is emerging. My research goal in dissertation thesis is to ...
  • TREND ANALYSIS OF STREAMING AIR QUALITY DATA OF FOUR TIER I CITIES IN INDIA 
    Yadav, Alka (Department of Computer Science and Engineering,IITR., 2016)
    Time series data mining refers to the process of extracting relevant information from time series data. Trend analysis of time series data refers to a set of techniques which help to reveal hidden patterns in time series ...
  • IMAGE QUALITY MEASUREMENT THROUGH STRUCTURAL SIMILARITY BASED ON HIGH ORDER MOMENTS 
    Kour, Swarnjeet (Computer Science and Engineering,IITR., 2016)
    Image quality assessment means estimating the quality of an image. Image quality is a characteristic of an image that measures the perceived image degradation. The quality of image gets affected due to the noise or ...
  • MINIMIZING THE RESPONSE TIME OF VIDEO STREAMING USING CLOUDLET 
    Kewal, Amit (Department of Computer Science and Engineering,IITR., 2016)
    Since last decade Mobile Cloud Computing has gained a great importance not only for the small, medium but also for large sized enterprises. Mobile Cloud Computing is one of the most important technology on which many IT ...
  • Content Based Image Retrieval Based On Color And Texture Features Using KNN Classifier 
    Suman, Sanjeev (Department of Computer Science and Engineering,IITR., 2016)
    Content based image retrieval (CBIR) is a technique to retrieve desired images from large databases against a query image on the basis of some similarity between features extracted from images itself. Here content based ...
  • BRAIN TUMOR SEGMENTATION USING REGION SPLIT AND MERGE TECHNIQUE 
    Thampi, Amala (Department of Computer Science and Engineering,IITR., 2016)
    Brain tumor segmentation involves detecting the presence of tumor in the available brain scan image which is obtained from any neuroimaging machine. The main goal of any tumor segmentation algorithm is to automatically ...
  • AN AUTOMATIC PERSONALIZED PHOTO RECOMMENDATION SYSYTEM BASED ON IMAGE VISUAL QUALITY AND USER PREFERENCES 
    Arya, Sweta (Department of Computer Science and Engineering,IITR., 2016)
    This paper presents an automatic personalized photo recommender system which recommends photos from a large collection. Our proposed system recommends photos based on userpreferences about aesthetics and visual quality ...
  • Relocation Adaptable Kite: A Scheme to Support Mobility in Named Data Networking 
    Monika (Department of Computer Science and Engineering,IITR., 2016-05)
    Mobile node like smart phone can move at any speed 5 m/s walking speed or in a car at speed 30 m/s. Network and Applications should be intelligent enough to adopt data rate and Interest rate according to any speed and ...
  • INFRASTRUCTURE BASED POSITION VERIFICATION TECHNIQUE FOR VANETs 
    Jain, Yashika (Department of Computer Science and Engineering,IITR., 2016-06)
    VANET has been an interesting research area for years. It is a technology that uses moving cars as the nodes to create a mobile network. VANET comprises of two types of communications, V2I and V2V, accompanied by wireless ...
  • Improved Speech Recognition on Maps Application Over Indian Regional Dialects 
    Srivastava, Gaurav (Department of Computer Science and Engineering,IITR., 2016-06)
    Speech recognition on various applications is widely used but none of them support Indian regional dialects. American or British dialect of English language is supported by speech engine for voice recognition .In this ...
  • A DEMOGRAPHY BASED ANALYSIS OF USERS' SENTIMENTS ON TWITTER DATA 
    Geeta (Department of Computer Science and Engineering,IITR., 2016-05)
    In recent times the popularity of social media has gone up greatly. Due to the great number of people using these platforms and going vocal with their thoughts these can be used to determine public opinion. In this report, ...
  • BEHAVIOUR ANALYSIS OF SOCIALLY MOTIVATED AGENTS 
    Garg, Tarun (Department of Computer Science and Engineering,IITR., 2016-05)
    Inclusion of multiple autonomous agents in the complex systems is highly increasing day to day. Multi Agent Sytems(MAS) are systems that involves a number of collabrative elements, known as agents. Agents are computing ...
  • Analysis of Users’ Interest Based on Twitter Messages 
    Mangal, Nimita (Department of Computer Science and Engineering,IITR., 2016-05)
    Online Social Media now become a part of human life. Twitter is the most famous micro blogging site that is used by major portion of crowd in the world. This site provides us the opportunity to interact with more number ...
  • Boolean Functions Suitable for Strong Cipher Systems 
    Malik, Sonia (Department of Computer Science and Engineering,IITR., 2016-05)
    Cryptography is one of the important areas in computer science. For strong cipher systems Boolean functions and s-boxes with required cryptographic properties need to be developed. Many attacks on cipher systems consist ...
  • MULTISTAGE CLASSIFICATION FOR ARRHYTHMIA RISK PREDICTION 
    Goel, Bharat (Department of Computer Science and Engineering,IITR., 2016-05)
    Arrhythmia is the most common cardiovascular disease (CVD) taking a toll of approximately 10 million cases per year in India. ECG analysis is the most prominent way of detecting the Arrhythmia abnormalities. ECG being ...
  • Agent Base Modeling And Simulation Of Financial Market 
    Sharma, Abhijeet (Department of Computer Science and Engineering,IITR., 2013-04)
    Forecasting of economy has been difficult over the last 200 years. Financial market( economy) is a complex system. Which is composed of many small elements which act locally but react globally on whole system. Many ...
  • Reliability Analysis of Mixing Tree for Automated Sample preparation on Digital Microfluidic Biochips 
    Kumar, Rupesh (Department of Computer Science and Engineering,IITR., 2016-05)
    Sample Preparation is the most necessary step in biochemical applications. Various biochemical reactants are mixed together to produce mixture with target concentration. Many algorithms have been proposed for reactant ...
  • Balancing Energy Consumption in Intra-Vehicular Wireless Network (IVWN) of Automated Cars 
    Meena, Surendra (Department of Computer Science and Engineering,IITR., 2016-05)
    As the demand of comfort and automation in vehicular systems increases, several hundreds of devices (sensors, actuators, etc.) are being placed in newer automotive systems. With the increase in wiring cables connections ...
  • Arrow Based Region of Interest Segmentation in Biomedical Images 
    Alam, Naved (Department of Computer Science and Engineering,IITR., 2016-06)
    Biomedical images are often complex, and contain several regions that are annotated using arrows. Annotated arrow detection is a critical precursor to region-ofinterest (ROI) labelling, which is useful in content-based ...
  • Text Detection in Videos Using Super Resolution 
    Danish, Mohd (Department of Computer Science and Engineering,IITR., 2016-06)
    Text in images and videos contain useful information for automatic annotation, indexing, and structuring of images and videos. Extraction of this information involves detection, localization, tracking, extraction, ...