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      • 0.5V Subthreshold Region Operated Ultra Low Power Passive Sigma Delta ADC in 180 NM CMOS Technology 

        Satyadev, Singh Kamlesh
        With increasing demand of IoT devices, medical devices, remote sensors; the design of low power analog interface is becoming focus. Generally, for low frequency applications the Sigma Delta ADCs are used due to their very ...
      • 1-D And 3-D Analysis Of Multi-Port Muffler Configurations With Emphasis On Elliptical Cylindrical Chamber 

        Mimani, Akhilesh (2013-08-28)
        The flow-reversal elliptical cylindrical end chamber mufflers of short length are used often in the modern day automotive exhaust systems. The conventional 1-D axial plane wave theory is not able to predict their acoustical ...
      • 1H-NMR Study of Proton Glasses - Nuclear Spin Lattice Relaxation in BPxBPI(1-x) and BPxGPI(1-x) - Effects of Disorder on the Proton Group Dynamics 

        Ramanuja, M N
        Mixed systems made from a combination of ferroelectric (FE) and antiferroelectric (AFE) compounds, exhibit various effects of disorder in different temperature regions. The kind of effects observed, depend on the technique ...
      • 2-Level Page Tables (2-LPT): A Building Block for Efficient Address Translation in Virtualized Environments 

        Baviskar, Akshay Suresh
        Efficient address translation mechanisms are gaining more and more attention as the virtual address range of the processors keeps expanding and the demand for machine virtualization increases with cloud and data center-based ...
      • 2D Compressible Viscous Flow Computations Using Acoustic Flux Vector Splitting (AFVS) Scheme 

        Ravikumar, Devaki (Indian Institute of Science, 2007-05-07)
        The present work deals with the extension of Acoustic Flux Vector Splitting (AFVS) scheme for the Compressible Viscous flow computations. Accurate viscous flow computations require much finer grids with adequate clustering ...
      • 3D Coding Of MR Images And Estimation Of Hemodynamic Response Function From fMRI Data 

        Srikanth, R (2011-05-09)
      • 3D Dosimetry using optical tomography and electronic portal images 

        Manjappa, Rakesh
        The primary goal of this thesis is to develop techniques to quantify the radiation dose distributions used in radiotherapy for cancer treatment. It aims at developing a physically profound calculation model for the transit ...
      • A 3D High Resolution Unstructured Viscous Flow Solver 

        Mishra, Asitav (2011-10-11)
      • 3D Image Reconstruction Using Optical Phase Retrieval And Cone-Beam Tomography 

        Hemanth, T (2011-11-22)
      • A 3D Lattice Model For Fracture Of Concrete : A Multiscale Approach 

        Mungule, Mahesh Parshuram (2013-09-10)
        It is quite well known that fracture behavior of concrete is complex and is influenced by several factors. Apart from material properties, geometric parameters influence fracture behavior and one notable phenomenon is size ...
      • 3D Packaging for Integration of Heterogeneous Systems 

        Nittala, Pavani Vamsi Krishna
        With several new applications getting developed around wearable technologies for Internet of Things (IoT), there has been a growing need for development of the miniaturized systems. Emerging applications in healthcare, ...
      • Ab Initio Molecular Dynamics Studies of Bronsted Acid-Base Chemistry in Aqueous Solutions 

        Tummanapelli, Anil Kumar (2018-08-11)
        Knowledge of the dissociation constants of the ionizable protons of weak acids in aqueous media is of fundamental importance in many areas of chemistry and biochemistry. The pKa value, or equilibrium dissociation constant, ...
      • Ab initio Quantum Chemical Studies on Kinetic Fractionation during the analysis of Carbonates for the Clumped Isotope Thermometry 

        Pramanik, Chirantan
        Stable and clumped isotopic compositions of molecules and minerals carry the signatures of temperatures and other physical and chemical conditions of the time of their formation. Isotopic compositions of such precipitate ...
      • Ab-initio Modeling and Designing of Materials for Thermoelectrics, Optoelectronics and High Temperature Applications 

        Samanta, Atanu
        Designing a material for a particular application requires an atomistic understanding of its properties. Recent development in first principles methods and supercomputing speeds has enabled researchers to compute materials ...
      • Absorption Flow-Cytometry for Point-of-Care Diagnostics 

        Banoth, Earu (2018-05-25)
        Medical devices are used widely at every stage of disease diagnosis and treatment. To eradicate certain infectious diseases, the development of highly sensitive diagnostic tools and techniques is essential. The work reported ...
      • Absorptive Capacity, Cluster Level Interactions, Innovation and Performance of Firms in the High-tech Manufacturing Cluster of Bengaluru 

        Deepak, C
        Researchers have identified absorptive capacity, which is a measure of dynamic capability of a firm, as one of the critical factors that drives interactions of a firm with other firms and associated institutions within and ...
      • Accelerated and Accurate Alignment of Short Reads in High Throughput Next Generation Sequencing [NGS] Platforms 

        Natarajan, Santhi
        The genome of an organism encompasses the unique set of genetic instructions for every individual in a species. The genome, in totality, guides the course of evolution, development, genetic and epigenetic growth factors ...
      • Accelerated search for thermoelectric and topological materials using first-principles and machine learning 

        Juneja, Rinkle
        In summary, we have performed first-principles calculations to study the topological phase transitions in chalcopyrite compounds as a function of hydrostatic pressure. These compounds are topological insulators in the ...
      • An Accelerator for Machine Learning Based Classifiers 

        Mohammadi, Mahnaz
        Artificial Neural Networks (ANNs) are algorithmic techniques that simulate biological neural systems. Typical realization of ANNs are software solutions using High Level Languages (HLLs) such as C, C++, etc. Such solutions ...
      • Access Path Based Dataflow Analysis For Sequential And Concurrent Programs 

        Arnab De, * (2016-09-14)
        In this thesis, we have developed a flow-sensitive data flow analysis framework for value set analyses for Java-like languages. Our analysis frame work is based on access paths—a variable followed by zero or more field ...

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