MASTERS' THESES (CSE): Recent submissions

  • ANALYSIS AND IMPLEMENTATION OF RC4 ALGORITHM FOR STREAM CIPHERS 
    Rocky, Swagatam Roy (I I T ROORKEE, 2019-05)
    Since its public availability in 1994, RC4 has been extensively used for data – security measures. The specialty of RC4 lies within its formation – it is very easy to implement compared to other stream ciphers while ...
  • MULTI-AGENT COORDINATION USING ROBOCUP RESCUE SIMULATION 
    Bagdi, Mohit Kumar (I I T ROORKEE, 2018-12)
    Applying Multi-agent coordination techniques in RoboCup Saving model rivalries has been an important part of RoboCup and the knowledge grown during the RoboCup Rescue Simulation rivalries has enhanced coordination among ...
  • DEMAND PREDICTION FOR RECOMMENDING SPATIO- TEMPORAL DISTRIBUTION OF PILGRIM TRANSPORTATION 
    Singh, Alok (IIT ROORKEE, 2019-05)
    Taxis play an important role in transportation service. Unlike other transportation service like train, buses, etc., they provide service at your desired time and place. Taxicabs cruise for passengers at taxis stands, along ...
  • EXTRACTING INFORMATION FROM USER’S LOCALIZATION DATA 
    Singh, Vipin (I I T ROORKEE, 2018-05)
    The availability of location-tracking devices such as GPS, Cellular Networks and other devices provides the facility to log a person or device locations automatically. This creates spatio-temporal datasets of user's movement ...
  • A MULTIMODEL APPROACH WORD FAMILIARTY PREDICTION 
    Khurana, Vaishali (I I T ROORKEE, 2018-05)
    The appearance of unknown words often disturbs communication and reading. The proposed system focuses on detecting those words which are unfamiliar to the users using temporal data, Electroencephalography (EEG) and facial ...
  • INVESTIGATION HN-SPECTRA OF BOXES 
    Chauhan, Sneha (I I T ROORKEE, 2018-05)
    Internet is today’s buzz. It brings with it, many advantages and disadvantages. One such disadvantage is security. The communication done through the Internet must be secure so that no third party could read the information ...
  • ANALYSIS OF ENSEMBLE MODELS FOR AGING RELATED BUG PREDICTION IN SOFTWARE SYSTEMS 
    Sharma, Shubham (I I T ROORKEE, 2018-05)
    With the evolution of the software industry, the growing software complexity led to the increase in the number of software faults. According to the study, the software faults are responsible for many unplanned system ...
  • CONTENT ANALYSIS OF VIDEOS USING ALIGNMENT TECHNIQUES 
    Jaiswal, Shubhangi (I I T ROORKEE, 2017-11)
    In recent years, with increase in the use of Internet the multimedia contents on it have rapidly increased. Users may want to go through a video in top down manner i.e. browsing the videos, or in bottom up manner i.e. ...
  • FACE SYNTHESIS USING GENERATIVE ADVERSARIAL NETWORK 
    Sharma, Shivali (I I T ROORKEE, 2018-05)
    Generative Adversarial Networks that fall under the class of generative models, aim at taking training examples from the training set and learning the probability distribution that generates those samples. The network ...
  • IMAGE RECOGNITION USING GRAPH BASED CONVOLUTIONAL NETWORK 
    Yadav, Sheetal (I I T ROORKEE, 2018-05)
    The success behind Deep Learning have mostly relied on Convolutional Neural Network. Convolutional Neural Networks became popular because of their e - cient ability to exploit signi cant statistical properties of images, ...
  • ACTION RECOGNITION USING FEATURE FUSION 
    Sharma, Renuka (I I T ROORKEE, 2018-05)
    Action recognition seems to be a very easy task for us humans but it requires a lot of information processing in terms of recognizing patterns when it comes to computer systems. Here, we try to devise a new way of ...
  • PRIVACY PRESERVING FACE SEARCH OVER CLOUD 
    Sharma, Rajat (I I T ROORKEE, 2018-05)
    With the enormous amount of data, especially images, getting produced every minute and the ease of availability of cloud services at cheaper rates, there is an exponential increase in the amount of data being moved to the ...
  • QUANTIFIABLE APPROACH FOR EMOTION ANALYSIS OF TEXTUAL CORPUS 
    Tak, Raghu (I I T ROORKEE, 2017-11)
    To detect emotions of the writer in any textual corpus is a requirement that has been persistent in the industry. In the current phase of this research work, we are focusing only on the eight primary bipolar emotions ...
  • DETECTION OF OPINION FRAUD USING TEMPORAL APPROACH 
    Rani, Rachna (I I T ROORKEE, 2018-05)
    The social opinion for products and services advertised on online platforms such as Amazon, TripAdvisor or YouTube plays a vital role in shaping the decision of users. The products and services most liked by the users ...
  • WEB PHISHING DETECTION 
    Mishra, Akshat (I I T ROORKEE, 2018-05)
    Phishing isawayofobtainingpersonalinformationthroughillegitimatewebsitesthatare exactly sameaslegitimatewebsite.Therearemanytechniquesavailabletodetectphishing websites, butcurrenttechniquesleavemuchtobeobtained.Aprima ...
  • RESTRUCTURING IDS : A NEW PERSPECTIVE 
    Katta, Mridul (I I T ROORKEE, 2018-05)
    With Cloud and Internet among the essential pillars on which the world resides in this era. With the increasing advancements in technology, network speed and a need of greater, more reliable and feasible processing power, ...
  • EXPLORING THE IMPACT OF AGE AND GENDER ON SENTIMENT ANALYSIS 
    Gahalawat, Monika (I I T ROORKEE, 2018-05)
    Sentiment Analysis is a rapidly growing field of research due to the explosive growth in digital information, there is a need to filter out unnecessary information and get meaningful results out of this huge information. ...
  • DATA MINING FOR HUMAN HEALTH AND WELL BEING 
    H. R., Mohamed Imran H R (I I T ROORKEE, 2018-05)
    Health-care industry today generates large amount of complex data about patients, hospitals resources, disease diagnosis, electronic patient records, medical devices etc.The large amounts of data is a key resource to be ...
  • SEMANTIC SEGMENTATION OF IMAGES USING CONVOLUTIONAL NEURAL NETWORKS 
    Kaur, Manpreet (I I T ROORKEE, 2018-05)
    In this report, a di erent approach for the semantic segmentation of images is presented. It mainly focuses on the semantic analysis of images that lessen the gap between semantics and low level visual features of images. ...
  • PRIVACY PRESERVING FRAMEWORK FOR LARGE SCALE CONTENT BASED INFORMATION RETRIEVAL 
    Kartik (I I T ROORKEE, 2018-05)
    In this Internet era, multimedia content is drastically increasing over the Internet and distributed over thousands of servers. In order to nd content over the large scale database, content-based search strategies(CBIR) ...