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Energy Aware Synthesis of Accelerators on a Network of HyperCells
With supply voltage no longer scaling down at the same rate as transistor feature size, keeping power dissipation to practical levels while maximizing performance is becoming a challenge in future computing systems. ...
Enhancement of Small Signal Stability in Power Systems: Novel Approaches
The modern power system is a highly nonlinear system that operates in a constantly changing environment. Power system, need to maintain more or less flat voltage profile across the grid and maintain stability for small and ...
Analysis and Control of Cascades in Complex Networks
Our modern societies are best described as complex systems consisting of a large number of interacting components. Understanding the nature of these interactions is crucial, not only for gaining insights, but also for ...
On Applications of 3D-Warping and An Analysis of a RANSAC Heuristic
In recent years communication of the scene geometry is gaining importance. With development of technologies such as head mounted displays and Augmented Reality (AR) the need for efficient 3D scene communication is becoming ...
Investigations on the Corona Degradation of Polymeric Insulating Samples
Insulators play an important role in the reliability and safe operation of EHV/UHV transmission lines. Recently several utilities in the country and elsewhere are using polymeric insulators for the high voltage transmission ...
Efficient Algorithms for Learning Restricted Boltzmann Machines
The probabilistic generative models learn useful features from unlabeled data which can be used for subsequent problem-specific tasks, such as classification, regression or information retrieval. The RBM is one such important ...
Robust Risk Minimization under Label Noise
In the setting of supervised learning, one learns a classi fier from training data consisting of
patterns and the corresponding labels. When labels of the examples in training data have errors,
it is referred to as label ...
Design of Authentication and Privacy Schemes for a Generic Social Network
In social networks, people (also known as actors) are often connected to each other in order to share the
information. With the advancement in the information technology, social networks have in
influenced actors
of ...
Hypergraph Network Models: Learning, Prediction, and Representation in the Presence of Higher-Order Relations
The very thought about “relating” objects makes us assume the relation would be “pairwise”, and
not of a “higher-order” — involving possibly more than two of them at a time. Yet in reality,
higher-order relations do exist ...
Investigations on Generation of 30-Sided Polygonal Voltage Space Vector Structures Using a Single DC-link for Induction Motor Drives
A conventional 2-level inverter is the most prevalent DC-AC converter used to drive an induction motor. A conventional 2-level inverter produces a hexagonal voltage space vector structure. To extract maximum voltage from ...