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0.5V Subthreshold Region Operated Ultra Low Power Passive Sigma Delta ADC in 180 NM CMOS Technology
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
(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
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 ... -
2D Compressible Viscous Flow Computations Using Acoustic Flux Vector Splitting (AFVS) Scheme
(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 Dosimetry using optical tomography and electronic portal images
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
(2011-10-11) -
A 3D Lattice Model For Fracture Of Concrete : A Multiscale Approach
(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
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
(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 Modeling and Designing of Materials for Thermoelectrics, Optoelectronics and High Temperature Applications
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
(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 ... -
Accelerated and Accurate Alignment of Short Reads in High Throughput Next Generation Sequencing [NGS] Platforms
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
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
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
(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 ... -
Accurate and Efficient Algorithms for Star Sensor Based Micro-Satellite Attitude and Attitude Rate Estimation
(2018-04-18)This dissertation addresses novel techniques in determining gyroless micro-satellite attitude and attitude rate. The main objective of this thesis is to explore the possibility of using commercially available low cost ... -
Accurate Computational Algorithms For Hyperbolic Conservation Laws
(2010-10-08)The numerics of hyperbolic conservation laws, e.g., the Euler equations of gas dynamics, shallow water equations and MHD equations, is non-trivial due to the convective terms being highly non-linear and equations being ... -
Accurate Estimation of Frequency and Phasor for Wide Area Monitoring and Control
Traditionally, monitoring and control functions in large power systems were based on measurements obtained locally. While small disturbances have their impact con ned locally to the area of disturbance, large disturbances ...