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Determining Functional Parameters of Hybrid Catalysts for Sustainable Energy Storage and Conversion Applications
Generating global-scale sustainable energy systems and preserving our environment for the future at the same time are the biggest challenges. Therefore, the search for diverse energy sources which will reduce our dependency ... -
Deterministic dynamic race detection across program versions
Dynamic race detectors operate by analyzing execution traces of programs to detect races in multithreaded programs. As the thread interleavings influence these traces, the sets of races detected across multiple runs of ... -
Deterministic parsing algorithm for classes beyond CFLs
Deterministic parsing strategies for subclasses of the so-called mildly context-sensitive languages are proposed. Mildly context-sensitive languages are generated by k-level grammars and have parsing algorithms of time ... -
Deterministic Scheduling Of Parallel Discrete And Batch Processors
(2009-03-03)Scheduling concerns the allocation of limited resources to tasks over time. In manufacturing systems, scheduling is nothing but assigning the jobs to the available processors over a period of time. Our research focuses on ... -
Deterministic Two Stage Clonal Expansion Model of Breast Cancer Epidemiology and its Utility for Optimal Screening Policies in India
Breast cancer (BC) has emerged as public health issue in India in last two decades sur-passing cervix cancer. Mortality from breast cancer is 30-40% higher than maternal causes. Breast cancer 5 year survival rates are ... -
Devanagari Online Handwritten Character Recognition
In this thesis, a classifier based on local sub-unit level and global character level representations of a character, using stroke direction and order variations independent features, is developed for recognition of ... -
Developement Of Aluminium Foam : An Experimental And Numerical Study
(2010-07-06)Metal foams are lightweight structures and have large use in many components acting as impact energy absorbers. They have exceptional mechanical, thermal and acoustic properties. The design or selection of foam for packaging ... -
Developing A Dialogue Based Knowledge Acquisition Method For Automatically Acquiring Expert Knowledge To Diagnose Mechanical Assemblies
(2013-06-20)Mechanical assembly is an important step during product realization, which is an integrative process that brings together the parts of the assembly, the people performing the assembly and the various technologies that are ... -
Developing a tunable, adaptive plasmid selection system to screen Aminoacyl-tRNA synthetase variants
The genetic code refers to a set of rules used by living organisms to translate information encoded within the genetic material (DNA/mRNA sequences) into proteins. All organisms generally encode 22 proteinogenic or canonical ... -
Developing an Analytical Model to Predict Customer Churn for Customer Satisfaction (CS) and Customer Loyalty (CL) with respect to Automobile After Sales Service Centres (AASSC)
Customer Satisfaction has always been a key to success for any automobile after sales service centre (AASSC). To retain customer satisfaction (CS) and customer loyalty (CL), it is crucial for any AASSC to track the important ... -
Developing Decision Support for Electric Vehicle (EV) Adoption & Charging Infrastructure Planning
Majorly reliant on petroleum products, the transportation sector accounts for 25% of the global energy demand and 23% of carbon dioxide emissions. Among all the modes of transportation, road vehicles are the primary sources ... -
"Developing Device Quality Vanadium Dioxide Thin Films for Infrared Applications"
(2018-01-04)Vanadium oxides are being used as the thermal sensing layer because of their applications in infrared detectors. They have high temperature coefficient of resistance, favorable electrical resistance and compatibility with ... -
Developing Experimental Approaches to Gain Physical Insights into High Electric Field and Hot Electron Reliability of AlGaN/GaN HEMTs
Next-generation power conversion systems, designed to achieve environmental and economic sustainability, are required to be efficient and smaller in size. Advances in silicon-based power devices, which are the major driving ... -
Developing Frameworks for Evaluating Sustainable Transportation Measures in terms of Quality of Life
The transportation system is one of the main pillars impacting Quality of Life (QOL) as it fulfills people's basic needs by providing access to daily activities. Rapid urbanization, with more people migrating to urban areas ... -
Developing SCR Plate Catalysts for Sustainable NOx Reduction in High Dust Thermal Power Plants
The primary aim of this research is to address NOx emission reductions from high ash/dust environments of coal-driven thermal power plants prevalent in India and other regions using low-grade coal with significant fly ash ... -
Development and application of a new method for detection of structural equivalence in graphs
This thesis mainly concerns the isomorphism problem encountered in computerized structural synthesis of kinematic chains. The contributions of the thesis to the study of structural aspects of linkages are the following. 1. ... -
Development and Application of Fiber Optic Sensors for Structural and Flight Testing of Aircraft
Structural testing deals with sensing of health parameters such as strain, temperature, vibration, etc. of different structures like aircrafts, ships, bridges, dams, buildings, etc. and it is important from the viewpoint ... -
Development and Application of Kinetic Meshless Methods for Euler Equations
(Indian Institute of Science, 2005-10-17)Meshless methods are a relatively new class of schemes for the numerical solution of partial differential equations. Their special characteristic is that they do not require a mesh but only need a distribution of points ... -
Development and application of multi-photon microscopy in neuroscience and nanoscience
Neuroscience is at crossroads. Several interdisciplinary optical developments centred around nonlinear optical processes helps in better understanding of brain function at sub-micron and millisecond precision. Traditional ... -
Development and application of sequence-based approaches for recognition and functional characterization of protein kinases
Protein kinases, the third most populous protein family, are a major class of enzymes that regulate a wide range of cellular processes by phosphorylating multiple cellular proteins. There are many conserved sequence motifs ...