Browsing Division of Interdisciplinary Research by Title
Now showing items 1-20 of 566
-
2D Piezotronics: Performance to Functionality
In the pursuit of interactive electronic devices, there is a need for smart materials which can serve multiple functionalities. 2D (two-dimensional) layered materials have gained attention in semiconductor technology because ... -
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, ... -
Absorptive Capacity, Cluster Level Interactions, Innovation and Performance of Firms in the High-tech Manufacturing Cluster of Bengaluru
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 ... -
Abstractions and Optimizations for Data-driven Applications Across Edge and Cloud
Modern data driven applications have a novel set of requirements. Advances in deep neural networks (DNN) and computer vision (CV) algorithms have made it feasible to extract meaningful insights from large-scale deployments ... -
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 ... -
Accelerating Estimation of Perfusion Maps in Contrast X-ray Computed Tomography using Many-core CPUs and GPUs
X-ray Computed Tomography (CT) perfusion imaging is a non-invasive medical imaging modality that has been established as a fast and economical method for diagnosing cerebrovascular diseases such as acute ischemia, sub-arachnoid ... -
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 ... -
Acoustic Source Localization Using Time Delay Estimation
(2009-08-19)The angular location of an acoustic source can be estimated by measuring an acoustic direction of incidence based solely on the noise produced by the source. Methods for determining the direction of incidence based on sound ... -
Activity-travel behavior modeling of pilgrims in mass religious gatherings
The number of participants in mass gatherings like Kumbh Mela is ever increasing. Simulations for pre-event crowd modeling, risk assessment, and control planning can help set up robust crowd management and control mechanisms. ... -
Adaptive charging techniques for Li-ion battery using Reinforcement Learning
Li-ion batteries have become a promising technology in recent years and are used everywhere from low-end devices like mobile phones to high-end ones like electric vehicles. In most applications, the discharge of a battery ... -
Adaptive Fault Tolerance Strategies for Large Scale Systems
(2018-03-07)Exascale systems of the future are predicted to have mean time between node failures (MTBF) of less than one hour. At such low MTBF, the number of processors available for execution of a long running application can widely ... -
Adaptive Grid Meta Scheduling - A QoS Perspective
(2011-09-06) -
Advanced Architectures for Cascaded Raman Fiber Lasers
Fiber lasers have exhibited significant expansion in their diverse applications within the fields of communications, industrial operations, defence, and the medical sector. They require a rare earth doped element as ... -
Advancements in Microcantilever Sensor Technology: Gas Sensing Application
Micro and nanoelectromechanical systems (M&NEMS) have great potential in sensor technologies, which are used for detecting mass or gas, measuring force and acceleration, and in applications related to memory storage and ... -
Advances in Architecturing of Large-Scale Photovoltaics: Packaging and Incidence Angle Agnostic Hierarchical Nanostructures
Encapsulant of Graphene embedded polymer that exhibits low permeability to moisture and oxygen were used as a packaging material for OPVDs. Graphene-Surlyn encapsulated and unencapsulated devices were stored both in ambient ... -
Advances in High Dynamic Range Imaging Using Deep Learning
Natural scenes have a wide range of brightness, from dark starry nights to bright sunlit beaches. Our human eyes can perceive such a vast range of illumination through various adaptation techniques, thus allowing us to ... -
Advances in Microfluidic Impedance Cytometry for Electromechanical Characterization of Cells
Single-cell analysis is extremely important for discovering unique characteristics of individual cells, identifying cell populations of interest, and understanding their behaviour during disease conditions. With the advent ... -
Algorithmic Approaches For Protein-Protein Docking And quarternary Structure Inference
(2011-02-14)Molecular interaction among proteins drives the cellular processes through the formation of complexes that perform the requisite biochemical function. While some of the complexes are obligate (i.e., they fold together while ... -
Algorithms for Estimating Integrals in High Dimensional Spaces
Sampling, estimation and integration in high dimensional continuous spaces is required in diverse areas ranging from modeling multi-particle physical systems and optimization to inference from data. When the number of ... -
Algorithms For Geospatial Analysis Using Multi-Resolution Remote Sensing Data
(2014-02-28)Geospatial analysis involves application of statistical methods, algorithms and information retrieval techniques to geospatial data. It incorporates time into spatial databases and facilitates investigation of land cover ...