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Articles 1 - 6 of 6
Full-Text Articles in Computer Engineering
A Self Organization-Based Optical Flow Estimator With Gpu Implementation, Manish Shiralkar
A Self Organization-Based Optical Flow Estimator With Gpu Implementation, Manish Shiralkar
All Dissertations
This work describes a parallelizable optical flow estimator that uses a modified batch version of
the Self Organizing Map (SOM). This gradient-based estimator handles the ill-posedness in motion
estimation via a novel combination of regression and a self organization strategy.
The aperture problem is explicitly modeled using an algebraic framework
that partitions motion estimates obtained from regression into two sets, one (set Hc) with estimates
with high confidence and another (set Hp) with low confidence estimates. The self organization step
uses a uniquely designed pair of training set (Q=Hc) and the initial weights set …
Fpga Based Timing Module And Optical Communication Card Design For Spallation Neutron Source, Biswa Singh
Fpga Based Timing Module And Optical Communication Card Design For Spallation Neutron Source, Biswa Singh
All Theses
The Timing Module and Optical Communication Card (OCC) are used for acquisition of neutron event data by the instrument systems at the Spallation Neutron Source (SNS) neutron scattering facility. The instrument systems produce a very large flux of neutrons of varying energies over a short time period through the spallation process. The Timing Module and OCC require high-bandwidth communication to ensure high-speed data movement to the memory in the data collection system without loss of neutron data. The existing implementations use a standard PCI-X bus interface to transfer the data between the cards and the host computer. The data processing …
Acceleration Of Spiking Neural Networks On Single-Gpu And Multi-Gpu Systems, Venkittaraman Vivek Pallipuram Krishnamani
Acceleration Of Spiking Neural Networks On Single-Gpu And Multi-Gpu Systems, Venkittaraman Vivek Pallipuram Krishnamani
All Theses
There has been a strong interest in modeling a mammalian brain in order to study the architectural and functional principles of the brain and offer tools to neuroscientists and medical researchers for related studies. Artificial Neural Networks (ANNs) are compute models that try to simulate the structure and/or the functional behavior of neurons and process information using the connectionist approach to computation. Hence, the ANNs are the viable options for such studies.
Of many classes of ANNs, Spiking Neuron Network models (SNNs) have been employed to simulate mammalian brain, capturing its functionality and inference capabilities. In this class of neuron …
Traffic Analysis Of Anonymity Systems, Ryan Craven
Traffic Analysis Of Anonymity Systems, Ryan Craven
All Theses
This research applies statistical methods in pattern recognition to test the privacy capabilities of a very popular anonymity tool used on the Internet known as Tor.
Using a recently developed algorithm known as Causal State Splitting and Reconstruction (CSSR), we can create hidden Markov models of network processes proxied through Tor. In contrast to other techniques, our CSSR extensions create a minimum entropy model without any prior knowledge of the underlying state structure. The inter-packet time delays of the network process, preserved by Tor, can be symbolized into ranges and used to construct the models.
After the construction of training …
Acceleration Of Biomolecular Simulations Using Fpga-Based Reconfigurable Computing, Ananth Nallamuthu
Acceleration Of Biomolecular Simulations Using Fpga-Based Reconfigurable Computing, Ananth Nallamuthu
All Theses
A paradigm shift is occurring in the way compute-intensive scientific applications are developed. Thanks to advancements in commercially viable hybrid architectures for High-Performance Computing (HPC), the focus has shifted from improving performance by merely scaling algorithms on von Neumann computing nodes to fully exploiting additional computational capabilities provided by accelerators such as FPGAs (Field Programmable Gate Arrays) and GPGPUs (General Purpose Graphical Processing Units).
Computational chemists use Molecular Dynamics (MD) simulations like LAMMPS (Large Scale Atomic Molecular Massively Parallel Systems) and NAMD (NAnoscale Molecular Dynamics) to simulate biomolecular behaviour such as protein folding and small molecule docking to proteins. MD …
Timing Side-Channel Attacks On Ssh, Harikrishnan Bhanu
Timing Side-Channel Attacks On Ssh, Harikrishnan Bhanu
All Theses
In most secure communication standards today, additional latency is kept to a minimum to preserve the Quality-of-Service. As a result, it is possible to mount side-channel attacks using timing analysis. In this thesis we discuss the viability of these attacks, and demonstrate them by inferring Hidden Markov Models of protocols. These Hidden Markov Models can be used to both detect protocol use and infer information about protocol state. We create experiments that use Markov models to generate traffic and show that we can accurately reconstruct models under many circumstances. We analyze what occurs when timing delays have enough jitter that …