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Now showing items 3381-3400 of 6415
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Mixed Norm Estimates in Dunkl Setting and Chaotic Behaviour of Heat Semigroups
(2018-01-03)This thesis is divided into three parts. In the first part we study mixed norm estimates for Riesz transforms associated with various differential operators. First we prove the mixed norm estimates for the Riesz transforms ... -
Mixing Enhancement Studies on Supersonic Elliptic Sharp Tipped Shallow (ESTS) Lobed Nozzles
(2017-11-22)Rapid mixing and spreading of supersonic jets are two important characteristics in supersonic ejectors, noise reduction in jets and fuel mixing in supersonic combustion. It helps in changing the acoustic and thermal signature ... -
An MLIR-Based High-Level Synthesis Compiler for Hardware Accelerator Design
The emergence of machine learning, image and audio processing on edge devices has motivated research towards power-efficient custom hardware accelerators. Though FPGAs are an ideal target for custom accelerators, the ... -
MOCVD Of Carbonaceous MnO Coating : Electrochemical And Charge Transport Studies
(2011-01-17)Metalorganic Chemical Vapour Deposition (MOCVD) is a versatile technique for the deposition of thin films of oxide materials as it offers advantages, such as deposition over large surface area, conformal coverage, selective ... -
Mode Coupling and Nonlinearities in Micro/Nano Electromechanical Systems
Micro and nanoelectromechanical systems have shown tremendous potential in applications ranging from sensing to obtaining ultrastable oscillators for timing. They have also opened avenues for fundamental quantum studies ... -
Mode Engineering in Micro Ring Resonators and Their Application
Silicon Photonics (SiP) has emerged as the prominent platform for Photonic Integrated Circuits (PICs). CMOS technology compatible fabrication processes, high index contrast of the waveguide core-cladding leading to sharp ... -
Mode-3 Asymptotic Analysis Around A Crack Embedded In A Ductile Functionally Graded Material
(2009-09-15)Functionally graded materials (FGMs) are composites with continuous material property variations. The distinct interfaces between the reinforcement and the matrix in classical composites are potential damage initiation ... -
Model Checking Temporal Properties of Presburger Counter Systems
Counter systems are a well-known and powerful modeling notation for specifying infnite state systems. In this thesis we target the problem of checking temporal properties of counter systems. We address three predominant ... -
Model Extraction and Active Learning
Machine learning models are increasingly being offered as a service by big companies such as Google, Microsoft and Amazon. They use Machine Learning as a Service (MLaaS) to expose these machine learning models to the ... -
Model Extraction Defense using Modified Variational Autoencoder
Machine Learning as a Service (MLaaS) exposes machine learning (ML) models that are trained on confidential datasets to users in the form of an Application Programming Interface (API). Since the MLaaS models are deployed ... -
A Model For Heat Transfer In A Honey Bee Swarm
(Indian Institute of Science, 2005-07-20)During spring, it has been observed that several thousand bees leave their hive, and settle on some object such as a tree branch. Some of the scout bees search for a suitable place where a new hive can be set up, while the ... -
Model Reference Learning Control Using ANFIS
(2012-05-25) -
Model Studies Of The Hot And Dense Strongly Interacting Matter
(2016-04-25)Ultra-relativisitic heavy ion collisions produce quark gluon plasma-a hot and dense soup of deconfined quarks and gluons akin to the early universe. We study two models in the context of these collisions namely, Polyakov ... -
Model-based Evaluation of Multiple Solutions to Grid Integration Challenges of Large-scale Renewable Power
Worldwide renewable installations are growing exponentially in the electricity mix. In a renewable-rich electricity grid, the demand, as well as the generation, varies in different time scales. It is highly complicated to ... -
Model-based Safe Deep Reinforcement Learning and Empirical Analysis of Safety via Attribution
During initial iterations of training in most Reinforcement Learning (RL) algorithms, agents perform a significant number of random exploratory steps, which in the real-world limit the practicality of these algorithms ... -
Model-Checking in Presburger Counter Systems using Accelerations
(2018-04-18)Model checking is a powerful technique for analyzing reach ability and temporal properties of finite state systems. Model-checking finite state systems has been well-studied and there are well known efficient algorithms ... -
Model-Checking Infinite-State Systems For Information Flow Security Properties
(2017-02-16)Information flow properties are away of specifying security properties of systems ,dating back to the work of Goguen and Meseguer in the eighties. In this framework ,a system is modeled as having high-level (or confidential)events ...