Stochastic approximation algorithms produce estimates of a desired solution using noisy real world data. Introduced by Robbins and Monro, in 1951, stochastic approximation techniques have been instrumental in the asymptotic ...

Web-based applications and distributed systems are ubiquitous and indispensable today. These systems use multiple parallel machines for greater functionality, and efficient and reliable computation. At the same time they ...

High voltage insulators used in overhead power transmission systems are of key im- portance for safe, reliable, and effcient operation of transmission line in transferring huge amount of electrical power. Conventionally, ...

The convolutional neural networks (CNNs) have become the most successful models for many pattern recognition problems in the areas of computer vision, speech, text and others. One concern about CNNs has always been their ...

Increased usage of fossil fuels, especially diesel, has made a large impact on the environment in the form of rise in global temperature, increased acidity in the rain water, decreased yield in vegetation and numerous ...

Representation of graphs as the intersection graphs of geometric objects has a long history. The objective is to a nd a collection of \simple" sets S such that a given graph G is its intersection graph. We are interested ...

In the Internet of Things (IoT), devices such as sensors and actuators will almost invariably be connected to the Internet via wireless networks. The sensor and actuator devices in such systems will be resource challenged ...

Motivation. Empirical risk minimization(ERM) is a popular framework for learning predictive models from data, which has been used in various domains such as computer vision, text processing, bioinformatics, neuro-biology, ...

Induction motor drives (IMD) require a DC-AC inverter system to obtain variable frequency operation. Generally, IMD uses conventional 2-level inverters. The conventional 2-level inverter has its pole switching between zero ...

Adaptive security embodies one of the strongest notions of security that allows an adversary to corrupt parties at any point during protocol execution and gain access to its internal state. Since it models reallife situations ...