Now showing items 59-78 of 87

    • Modeling performance and power matrix of disparate computer systems using machine learning techniques (Modeling Compiler Systems Selection) 

      Mankodi, Amit (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)
      In the last couple of decades, there has been an exponential growth in the processor,cache, and memory features of computer systems. These hardware featuresplay a vital role in determining the performance and power of a ...
    • Multi-modal design of an intelligent transportation system 

      Chaturvedi, Manish Shivshankar (Dhirubhai Ambani Institute of Information and Communication Technology, 2016)
      An Intelligent Transportation System (ITS) plays a major role in generating ne grained vehicular tra c information for city wide or larger region. The real time tra c informa-tion is used to optimize tra c movement in a ...
    • New techniques for spatial resolution enhancement of hyperspectral images 

      Patel, Rakeshkumar Chandulal (Dhirubhai Ambani Institute of Information and Communication Technology, 2014)
      Vision plays a central role for human perception and interpretation of the world. With the beginning of the space age during late 1950s presented opportunities for remote sensing of earth resources [1]. Multispectral sensors ...
    • Novel approaches for spectral unmixing of hyperspectral data 

      Bhatt, Jignesh Shashikant (Dhirubhai Ambani Institute of Information and Communication Technology, 2014)
      This thesis addresses the problem of spectral unmixing of remotely sensed hyperspectral data. The spectral unmixing has the objective of quantifying the reectance properties of di_erent materials on the earth. Complete ...
    • Novel techniques for auto-inpainting in heritage reconstruction 

      Gajanan, Padalkar Milind (Dhirubhai Ambani Institute of Information and Communication Technology, 2016)
      Digital reconstruction of ruined historic monuments and heritage sites can help in visualizing how these may have existed in the past. Also, such a process requires no physical alteration to the existing monuments. This ...
    • On curve reconstruction in Riemannian Manifolds: ordering motion frames 

      Shah, Pratik (Dhirubhai Ambani Institute of Information and Communication Technology, 2012)
      In this work we generalize the computational geometric curve reconstruction approach to curves embedded in Riemannian manifolds. We prove that the minimum spanning tree, given a sufficiently dense sample, correctly ...
    • On designing DNA codes and their applications 

      Limbachiya, Dixita (Dhirubhai Ambani Institute of Information and Communication Technology, 2019)
      Bio-computing uses the complexes of biomolecules such as DNA (Deoxyribonucleic acid), RNA (Ribonucleic acid) and proteins to perform the computational processes for encoding and processing the data. In 1994, L. Adleman ...
    • On heterogeneous distributed storage systems: bounds and code constructions 

      Gopal, Krishna (Dhirubhai Ambani Institute of Information and Communication Technology, 2019)
      In Distributed Storage Systems (DSSs), usually, data is stored using encoded packets on different chunk servers. In this thesis, we have considered heterogeneous DSSs in which each node may store a different number of ...
    • On large scale near-independent blind source separation 

      Choithram, Dharmani Bhaveshkumar (Dhirubhai Ambani Institute of Information and Communication Technology, 2015)
      The thesis addresses Blind Source Separation (BSS) in Large Scale (LS) and near-Independent (nI) sources scenario. The large scale in BSS imply number of unknown sources ranging from 15 to 140, so that the corresponding ...
    • Peer-to-peer communication in mobile social network 

      Narmawala, Zunnun A. Raoof (Dhirubhai Ambani Institute of Information and Communication Technology, 2016)
      Peer-to-peer opportunistic communication between mobile devices carried by humanswithout using any infrastructure is largely unexploited. As these devices are carried byhumans, their encounter pattern depends on human ...
    • Privacy and accountability in cloud computation and storage 

      Gajera, Hardik (Dhirubhai Ambani Institute of Information and Communication Technology, 2021)
      Cloud computing is a cost-effective computing paradigm for convenient, ondemand data access to a shared pool of configurable computing resources such as networks, servers, storage, applications, and services. While providing ...
    • QoS-aware Task Allocation and Scheduling in Cloud-Fog-Edge Architecture with Proactive Migration Strategy 

      Joshi, Nikita (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      The vision of the Internet of Things (loT) is made possible by advancements in sensor technologies, smart devices, wearable gadgets, and communication paradigms. IoT Service Providers (loSPs) provide loT services such as ...
    • Resource Utilization for Raw Data Query Processing : Optimizing Required Resources & Maximizing Utilization of Existing Resources 

      Patel, Mayankkumar Lalabhai (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      Scientific experiments and modern applications generate large amount of dataevery day. Many such applications store the data in raw format initially, as theschema is not known. The traditional database management system ...
    • Secure and efficient dealing with node capture attack in wireless sensor networks 

      Agrawal, Sarita (Dhirubhai Ambani Institute of Information and Communication Technology, 2017)
      Wireless Sensor Networks (WSN) have found enormous applications in various areas of day-to-day life such as in health-care, battle-field surveillance and disaster management. The communication amongst the sensor nodes ...
    • Set labelling vertices and study of auxiliary graphs 

      Jadeja, Mahipal Prithvisinh (Dhirubhai Ambani Institute of Information and Communication Technology, 2018)
      Given a set of nonempty subsets of some universal set, their intersection graph is defined as the graph with one vertex for each set and two vertices are adjacent precisely when their representing sets have non-empty ...
    • Signal processing methods for robust heart rate estimation from multimodal physiological signals 

      Rankawat, Shalini A. (Dhirubhai Ambani Institute of Information and Communication Technology, 2017)
      Cardiovascular diseases are the major cause of world-wide mortality. Heart rate (HR) and heart rate variability (HRV) are important health parameters to monitor functioning of heart of cardiac patients. Multimodal physiological ...
    • Similarity preserving dimensionality reduction for image data 

      Shikkenawis, Gitam (Dhirubhai Ambani Institute of Information and Communication Technology, 2016)
      Data collection and storage capabilities have increased manifold in last few decades,leading to information overload. Number of variables used to represent each data observation is called dimension of the data and dealing ...
    • Some new methods for multi-resolution image fusion 

      Upla, Kishorkumar Parsottambhai (Dhirubhai Ambani Institute of Information and Communication Technology, 2016)
      It is always an interest of a mankind to explore the various resources of the earth such as minerals, agriculture, forestry, geology, ocean etc., Before the invention of the remote sensing, in order to analyze the various ...
    • Some New Techniques for Motion-free Super-resolution 

      Gajjar, Prakashchandra Purushottamdas (Dhirubhai Ambani Institute of Information and Communication Technology, 2010)
      Digital image processing has exhibited a tremendous growth during past decades in termsof both the theoretical developments and applications. At present, image processing andcomputer vision are the leading technologies in ...
    • Spatial and spectral regularization in unmixing of remotely sensed data 

      Patel, Jignesh Rameshchandra (Dhirubhai Ambani Institute of Information and Communication Technology, 2021)
      The hyperspectral imaging opens the broad possibilities for remote sensing data analysis with it’s rich spectral information. However, this has a trade-off with limited spatial details due to the presence of several hardware ...