Division of Electrical, Electronics, and Computer Science (EECS): Recent submissions
Now showing items 261-280 of 1303
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ESD Reliability Physics and Reliability Aware Design of Advanced High Voltage CMOS & Beyond CMOS Devices
Electrostatic Discharge (ESD) reliability is one of the major reliability concerns in integrated circuits (IC), which if not addressed while designing devices and circuits, can lead to a permanent damage to the Integrated ... -
Stochastic approximation with set-valued maps and Markov noise: Theoretical foundations and applications
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 ... -
Degradation Studies on Polymeric Insulators used for EHV and UHV Transmission
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, ... -
On Reduced-State Optimal Scheduling for Decentralized Medium Access Control of Wireless Data Collection Networks
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 ... -
Investigations on Multilevel Voltage Space Vectors Generated by Stacked and Cascaded Basic Inverter Cells with Capacitor Voltage Control for Induction Motor Drives
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 ... -
Adaptively Secure Primitives in the Random Oracle Model
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 ... -
Structured Regularization Through Convex Relaxations Of Discrete Penalties
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, ... -
Integrated optic devices on thin film lithium niobate for few-mode optical communications
Mode division multiplexing is a remarkable strategy to meet the explosively increasing bandwidth requirements in optical communication systems and interconnects. This scheme harnesses the orthogonality of modes to scale ... -
Multisource Subnetwork Level Transfer in Deep CNNs Using Bank of Weight Filters
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 ... -
A Trusted-Hardware Backed Secure Payments Platform for Android
Digital payments using personal electronic devices have been steadily gaining in popularity for the last few years. While digital payments using smartphones are very convenient, they are also more susceptible to security ... -
Stationary diesel exhaust treatment by blending discharge plasma/ozone with industry wastes: a study on abatement of NOx and THC
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 ... -
Studies on Multilevel Twenty-Four Sided Polygonal Voltage Space Vector Structure Generation With a Single DC Link for Variable Speed Drive Applications
Multilevel voltage source inverters have become a widely accepted and cost-effective power converter technology for applications requiring high-power medium-voltage control. The demand of power level requirement has ... -
Risk Estimation Strategies for Speech Signal Denoising
In automatic speech recognition (ASR) systems, the recognition performance is severely affected by noise in the input speech signal [2]. One can improve the performance of ASR systems in noisy environments by denoising ... -
Adjacent Independent Row (Air) Matrices and Index Coding
An index coding problem, comprises a transmitter that has a set of independent messages and a set of receivers. Each receiver knows a subset of messages, called its side-information, and demands another subset of messages, ... -
Handling Overloads with Social Consistency
Cloud computing applications have dynamic workloads, and they often observe spikes in the incoming traffic which might result in system overloads. System overloads are generally handled by various load balancing techniques ... -
Correlation-aware Splitting Algorithms for Opportunistic Selection
Opportunistic selection is a key technique to improve the performance of wireless systems. In it, the best set of users among the available ones is selected on the basis of their instantaneous channel gains or local ... -
Signal Processing and Coding for Two-Dimensional Magnetic Recording
Many novel approaches have been proposed to improve storage densities of magnetic recording beyond the existing 1 Tb/in2. These include heat-assisted magnetic recording (HAMR), bit-patterned media (BPM) and two-dimensional ... -
Typestates and Beyond: Verifying Rich Behavioral Properties Over Complex Programs
Statically verifying behavioral properties of programs is an important research problem. An efficient solution to this problem will have visible effects over multiple domains, ranging from program development, program ... -
IO Pattern Aware Methods to Improve the Performance and Lifetime of NAND SSD
Modern SSDs can store multiple bits per transistor which enables it to have higher storage capacities. Low cost per bit of such SSDs has made it a commercial success. As of 2018, cells with an ability to store three bits ... -
Algorithms for Multilingual IR in Low Resource Languages using Weakly Aligned Corpora
Multilingual information retrieval (MLIR) methods generally rely on linguistic resources such as dictionaries, parallel corpora, etc., to overcome the language barrier. For low resource languages without these resources, ...