Browsing Supercomputer Education and Research Centre (SERC) by thesis submitted date"2014"
Now showing items 1-13 of 13
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Approximate Nearest Neighbour Field Computation and Applications
(2018-05-09)Approximate Nearest-Neighbour Field (ANNF\ maps between two related images are commonly used by computer vision and graphics community for image editing, completion, retargetting and denoising. In this work we generalize ... -
Clustering for Model Reduction of Circuits : Multi-level Techniques
(2017-11-22)Miniaturisation of electronic chips poses challenges at the design stage. The progressively decreasing circuit dimensions result in complex electrical behaviour that necessitates complex models. Simulation of complex circuit ... -
Development of Next Generation Image Reconstruction Algorithms for Diffuse Optical and Photoacoustic Tomography
(2018-02-15)Biomedical optical imaging is capable of providing functional information of the soft bi-ological tissues, whose applications include imaging large tissues, such breastand brain in-vivo. Biomedical optical imaging uses ... -
Development of Sparse Recovery Based Optimized Diffuse Optical and Photoacoustic Image Reconstruction Methods
(2018-01-11)Diffuse optical tomography uses near infrared (NIR) light as the probing media to re-cover the distributions of tissue optical properties with an ability to provide functional information of the tissue under investigation. ... -
Efficient Dynamic Automatic Memory Management And Concurrent Kernel Execution For General-Purpose Programs On Graphics Processing Units
(2017-04-28)Modern supercomputers now use accelerators to achieve their performance with the most widely used accelerator being the Graphics Processing Unit (GPU). However, achieving the performance potential of systems that combine ... -
Elasticity in IaaS Cloud, Preserving Performance SLAs
(2017-11-14)Infrastructure-as-a-Service(IaaS), one of the service models of cloud computing, provides resources in the form of Virtual Machines(VMs). Many applications hosted on the IaaS cloud have time varying workloads. These kind ... -
Malware Analysis using Profile Hidden Markov Models and Intrusion Detection in a Stream Learning Setting
(2018-02-18)In the last decade, a lot of machine learning and data mining based approaches have been used in the areas of intrusion detection, malware detection and classification and also traffic analysis. In the area of malware ... -
Metascheduling of HPC Jobs in Day-Ahead Electricity Markets
(2018-01-03)High performance grid computing is a key enabler of large scale collaborative computational science. With the promise of exascale computing, high performance grid systems are expected to incur electricity bills that grow ... -
Motion Based Event Analysis
(2018-05-09)Motion is an important cue in videos that captures the dynamics of moving objects. It helps in effective analysis of various event related tasks such as human action recognition, anomaly detection, tracking, crowd behavior ... -
Robust, Energy‐efficient Distributed Inference in Wireless Sensor Networks With Applications to Multitarget Tracking
The Joint Directors of Laboratories (JDL) data fusion model is a functional and comprehensive model for data fusion and inference process and serves as a common frame of reference for fusion technologies and algorithms. ... -
A Runtime Framework for Regular and Irregular Message-Driven Parallel Applications on GPU Systems
(2018-02-28)The effective use of GPUs for accelerating applications depends on a number of factors including effective asynchronous use of heterogeneous resources, reducing data transfer between CPU and GPU, increasing occupancy of ... -
Study and Design of Energy Efficient Block Cipher for Wireless Body Area Networks (WBANs)
With the advent of better health care and medical technology, as well as miniaturized devices with built-in radios, today we can see (WBANs) emerging as one of the main research topics. The sensor nodes worn by patients ... -
Variance of Difference as Distance Like Measure in Time Series Microarray Data Clustering
(2018-01-09)Our intention is to find similarity among the time series expressions of the genes in microarray experiments. It is hypothesized that at a given time point the concentration of one gene’s mRNA is directly affected by the ...