Now showing items 41-60 of 73

    • Distributed TDMA scheduling in tree based wireless sensor networks with multiple data attributes and multiple sinks 

      Vasavada, Tejas Mukeshbhai (Dhirubhai Ambani Institute of Information and Communication Technology, 2018)
      Data collection is an important application of wireless sensor networks. Sensors are deployed in given region of interest. They sense physical quantity like temperature, pressure, solar radiation, speed and many others. ...
    • Downsampling of signals on graphs: an algebraic perspective 

      Vaishnav, Nileshkumar (Dhirubhai Ambani Institute of Information and Communication Technology, 2018)
      Real-world data such as weather data, seismic activity data, sensor networks data and social network data can be represented and processed conveniently using a mathematical structure called Graph. Graphs are a collection ...
    • 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 ...
    • Graph theoretic investigations of control in biological networks 

      Ravindran, Vandana (Dhirubhai Ambani Institute of Information and Communication Technology, 2018)
      Biological systems exhibit complex phenomena owing to interconnected molecular mechanisms underlying their architecture. Graph is an ideal mathematical abstraction of such systems. The abstract network along with the ...
    • Hybrid partitioning and distribution of RDF data 

      Padiya, Trupti (Dhirubhai Ambani Institute of Information and Communication Technology, 2018)
      RDF is a standard model by W3C specifically designed for data interchange on the web. RDF was established and used for the development of the semantic web. However, nowadays RDF data is being used for diverse domains and ...
    • Adaptive techniques to improve the efficiency of GaN based SSPAs (up to C Band) for geo synchronous satellites 

      Doshi, Ramesh J. (Dhirubhai Ambani Institute of Information and Communication Technology, 2018)
      In this thesis, various adaptive techniques to improve the efficiency of Solid State Power Amplifier (SSPA) for Geo Synchronous Satellite are presented. The Microwave Power Amplifiers (MPAs) being the most important ...
    • Microwave Imaging for Breast Cancer Detection using 3D Level Set based Optimization, FDTD Method and Method of Moments 

      Patel, Hardik Nayankumar (Dhirubhai Ambani Institute of Information and Communication Technology, 2019)
      Microwave imaging is emerging as new diagnostic option for breast cancer detection because of non-ionizing nature of microwave radiation and significant contrast between dielectric properties of healthy and malignant breast ...
    • Spectrum sensing for cognitive radio 

      Manharlal, Captain Kamal (Dhirubhai Ambani Institute of Information and Communication Technology, 2019)
      Due to the rapid growth of new wireless communication services and applications, need for radio frequency (RF) spectrum is continuously increasing. Most of the available RF spectrum is already been licensed to the existing ...
    • Investigation into radiation hardening techniques on differential receiver and power management unit in 0.8um CMOS for space applications 

      Kasodniya, Sanjay Kumar (Dhirubhai Ambani Institute of Information and Communication Technology, 2019)
      This report details out radiation hardening techniques, their implementation on Di erential Receiver and Power Management Unit. Dierential Receiver ASIC is designed with addressable, synchronous and asynchronous features ...
    • 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 ...
    • Investigation into a low cost low energy IoT enabled wireless sensor node for particulate matter prediction for environmental applications 

      Shah, Jalpa Bharatkumar (Dhirubhai Ambani Institute of Information and Communication Technology, 2019)
      In recent years, increased transportation, removal of trees for making buildings, establishment of new industries, are the main sources of increased pollution. Increased pollution is one of the major challenge faced by all ...
    • Microblog processing : summarization and impoliteness detection 

      Modha, Sandip Jayantilal (Dhirubhai Ambani Institute of Information and Communication Technology, 2019)
      Social Media is an excellent source for studying human interaction and behavior. Sensing social media such as Facebook and Twitter, by the smart autonomous application empower its user community with real-time information ...
    • MMIC based high power transmit/receive and receive protection switches with integrated LNAs 

      Rao, Ch. V. Narasimha (Dhirubhai Ambani Institute of Information and Communication Technology, 2019)
      The conventional high power microwave signal switching component is the Silicon/GaAs PIN diode, while the recently GaN pHEMT devices are being used for this application. GaAs FET, used as switching element as a PIN diode ...
    • Voice conversion: alignment and mapping perspective 

      Shah, Nirmesh J. (Dhirubhai Ambani Institute of Information and Communication Technology, 2019)
      Understanding how a particular speaker is producing speech, and mimicking one's voice is a difficult research problem due to the sophisticated mechanism involved in speech production. Voice Conversion (VC) is a technique ...
    • Investigating into a light-weight reconfigurable VLSI architecture for biomedical signal processing applications 

      Jain, Nupur (Dhirubhai Ambani Institute of Information and Communication Technology, 2019)
      The Body Sensor Network systems consist of signal acquisition and processing blocks along with Power Management Unit and radio transmission capabilities. The high power consumption of the radio transmission is often ...
    • 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 ...
    • Facial expression recognition: feature based approaches to deep learning techniques 

      Sujata (Dhirubhai Ambani Institute of Information and Communication Technology, 2020)
      Facial expression recognition (FER) is a problem of pattern recognition that invites the attention of computer vision researchers for the last three decades. However, the problem is still alive due to challenges such as - ...
    • Compressive sampling architecture for wideband communication 

      Prakash, Chandra (Dhirubhai Ambani Institute of Information and Communication Technology, 2020)
      This dissertation proposes a novel Compressive Sampling (CS) scheme for Sub-Nyquist Spectrum Sensing (SNSS) of spectrally sparse wideband signals. A novelty of our proposed SNSS scheme resides in the analog front-end. We ...
    • 3D shape deformations : a lie group based approach 

      Bansal, Sumukh (Dhirubhai Ambani Institute of Information and Communication Technology, 2020)
      3D shapes are ubiquitous in many fundamental tasks of computer graphics and geometry processing. For many applications, new shapes have to be generated from the existing ones, for which it it imperative to understand and ...
    • Design of spoof speech detection system : teager energy-based approach 

      Kamble, Madhu R. (Dhirubhai Ambani Institute of Information and Communication Technology, 2021)
      Automatic Speaker Verification (ASV) systems are vulnerable to various spoofing attacks, namely, Speech Synthesis (SS), Voice Conversion (VC), Replay, and Impersonation. The study of spoofing countermeasures has become ...