ELECTRONICS AND COMMUNICATION ENGINEERING (FORMERLY ELECTRONICS & COMPUTER ENGINEERING): Recent submissions

  • 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, ...
  • A Hybrid Approach for Intrusion Detection in Streaming Data using Data Mining Techniques 
    Maheshwari, Swati (Department of Computer Science and Engineering,IITR., 2016-05)
    With the increase in the dependence on Internet for transactions and communications, ensuring security has become a necessity. Intrusion Detection System (IDS) is one of the important software or hardware devices in ...
  • EFFICIENT INCENTIVE-BASED ROUTING IN DTN USING COALITIONAL GAME THEORY 
    S, Deepak (Department of Computer Science and Engineering,IITR., 2016-05)
    Delay Tolerant Networks(DTNs) differ from the traditional Ad-hoc networks in its main characteristic function. DTNs are opportunistic networks in which there exists no complete end to end paths between the nodes. In view ...
  • PREDICTION BASED SEAM CARVING FOR VIDEO RETARGETING 
    Kaur, Harpreet (Department of Computer Science and Engineering,IITR., 2016-05)
    Image Retargeting is content aware image resizing which takes into account the resizing of image according to the resolution of display screen but without distorting salient content of image and without the loss of ...
  • HUMAN ACTION RECOGNITION USING RGB-DEPTH VIDEOS 
    Yadav, Ajay (Department of Computer Science and Engineering,IITR., 2016-05-27)
    Being able to detect and recognize human activities is essential for several applications, including personal assistive robotics.Many approaches have been discussed in the past. Normally 2D data has been used in past. ...
  • Temporal Video Scene Segmentation 
    Kumar, Manoj (Computer Science and Engineering,IITR., 2016-05)
    This Dissertation report discusses one of the computer vision problem, which is implemented using various video and image processing techniques from last two decades that is “TEMPORAL VIDEO SCENE SEGMENTATION”. From last ...
  • EXPERIMENTAL ANALYSIS OF MULTI-AGENT PLANNING DOMAINS WITH CONCURRENT ACTIONS 
    Dixit, Manish Kumar (Computer Science and Engineering,IITR., 2016-05)
    This research explores multi-agent planning where agents are not same. Unlike real world problem, most classical planner solves on a basic assumption that all agents are same. However, in most of the practical cases, Agents ...
  • Sign Language Dynamic Gestures Recognition using Depth Data 
    Goyal, Mudit (Computer Science and Engineering,IITR., 2016-05)
    In this report we have proposed a framework for sign language dynamic gestures recognition from depth sequences. For feature representation two different set of features are extracted. First one is gradient local auto ...
  • SENTIMENT ANALYSIS AND INTERPLAY STUDY USING NEWS HEADLINES AND TWEETS 
    Lathwal, Balkar (Computer Science and Engineering,IITR., 2016-05)
    Every individuals and/or organizations need to know about people‟s feelings about their product and services provided by them during making any decision. If organizations or individuals have the information about sentiment ...
  • Heuristics based Sensitive Pattern Hiding on Hadoop MapReduce Framework 
    Behal, Nishitha (Computer Science and Engineering,IITR., 2016-05)
    In recent times, data mining has gained immense application because of the ability with which it can extract previously unknown and potentially useful information from raw data. Frequent Pattern Mining is a subfield of ...
  • DEFECTS PREDICTION IN APPS USING USER REVIEWS AND RATINGS 
    Tagra, Ankur (Computer Science and Engineering,IITR., 2016-05)
    In the current digital era approximately 2 million applications (a.k.a. apps) are present on app store which allow users to give ratings and reviews. App developers face serious challenges in getting user feedback. Every ...