Browsing Electronic Systems Engineering (ESE) by Subject "Research Subject Categories::TECHNOLOGY::Electrical engineering, electronics and photonics::Electronics"
Now showing items 21-40 of 48
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ESD Design for Advanced CMOS and Analog nodes
The study of Electrostatic Discharge (ESD) reliability within Integrated Circuits (IC) is crucial due to its direct influence on electronic device performance, longevity, and functionality. As semiconductor technology ... -
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 ... -
First Principles Based Mobility Estimation of Graphene
Electron-phonon coupling (EPC) plays a vital role in detecting transport properties (e.g. mobility) of any material. First principles-based estimation of the mobility for any new material could act as a useful guideline ... -
First principles-based study of monolayer WSSe and metal interface.
The semiconductor-metal interface is universal for any electron device. Two-dimensional semiconductors have the advantages of free dangling bonds and atomically flat surfaces, making them promising materials to substitute ... -
GPU-Accelerated Quantum Transport Solver to Explore 2D Material Space for Transistor Operation
For decades, silicon has been the mainstay of the semiconductor industry. However, to preserve the electrostatic integrity of MOSFETs (metal oxide semiconductor field effect transistors), technology downscaling necessitates ... -
Hardware-based Device Identification for Systems with Commercially Off-the-shelf Components
The Identity of an electronic device is a fundamental property, that bootstraps several applications such as authentication and traceability. For the purpose of device identification, conventional methods generate a unique ... -
High-Level Synthesis of Geant4 Particle Transport Application for FPGA
Geant4 is a software toolkit that simulates particle transport in matter and is widely used in high energy, nuclear, and medical physics applications. The toolkit offers a wide range of physics models and geometry ... -
A High-Performance Hardware Accelerator for Elliptic Curve Cryptography with Curve25519 and Curve448
In modern critical infrastructures such as power grids, the security of data transmitted among diverse smart devices has become increasingly crucial with the widespread adoption of digital communication technologies while ... -
Investigation on architectural elements of network processors
Increasing network speeds have placed enormous burden on the processing requirements, and the processors are expected to carry out a variety of tasks. Network Processors (NP) is the blanket name given to the processors ... -
Investigations on Extending the Linear Modulation Range of Multilevel Inverter Fed Induction Motor Drives
Multilevel inverter topologies find extensive industrial and automobile applications due to their utilization of lower voltage-rated switches and enhanced harmonic performance. Incorporating Pulse Width Modulation (PWM) ... -
Investigations on Polygonal Voltage Space Vector Structure generation with lower order harmonic suppression using switched capacitive filter throughout modulation range for Drive Applications
Multilevel inverters (MLI) are widely used in a host of industrial applications ranging from renewable energy systems, to electric vehicles, to distributed generation. Due to the switching nature of the output voltage, MLI ... -
Investigations on Voltage Control of Stacked DC-link Series Capacitors with a Nine-Level Inverter for an Induction Motor Load
Multilevel Inverters offer several advantages over two-level inverters in applications involving medium voltage and high power levels. A variety of applications are now available for MLI technology, ranging from variable ... -
Low Power Analog Neural Network Framework with MIFGMOS
Ever since the beginning of the notion behind the term 'cloud computing,' i.e., to share the pro- cessing and storage capabilities of a centralized system, there has been a signi cant increase in the availability of raw ... -
Low Power Machine Learning Systems for Energy Efficient Edge Devices
Energy-efficient devices are essential in the world of edge computing and the tiny Machine Learning (tinyML) paradigm. Edge devices are often constrained by the available compu- tational power and hardware resource. To ... -
Microengineered Force Sensors and Haptic Feedback System for Catheter Contact Force
Minimally Invasive Surgery (MIS) pursues the highest attention in various medical procedures globally because of the reduced complicated process compared with traditional surgery, short postprocedural convalescence, and ... -
Neuromorphic Silicon Retinas: Analog and Digital Models
Silicon retinas are artificial retinal devices designed to replicate the functionality of the biological retina using silicon-based technologies. These retinas aim to address visual impairment by capturing and processing ... -
Neuromorphic Vision: Asynchronous and Sparse Processing of Event Camera Data
Modern systems, including edge computing, autonomous vehicles and robotics, face constraints, such as limited processing power and restricted battery energy, making computational efficiency a critical bottleneck for their ... -
Optimal Placement and Traffic Steering of VNFs and Edge Servers using Column Generation in Data Center Networks
Telecom Service Providers (TSPs) were traditionally dependent on physical devices to provide end-to-end communication. The services provided were high quality and stable but low in agility and hardware-dependent. As the ... -
Physics-based Approach For Efficient & Reliable Enhancement-mode AlGaN/GaN High Electron Mobility Transistor (HEMT) Technology
Power semiconductor devices have been the key to growth of power electronics market, and cover application areas ranging from mobile stations (commercial) to missile seekers (military). Continuously increasing demand for ... -
Physics-Informed Neural Network-Based Solution for the Poisson-Boltzmann Equation in an Independent Double-Gate MOSFET
Physics-Informed Neural Networks (PINNs) have emerged as a promising framework for solving partial differential equations (PDEs) by incorporating physical constraints into deep learning models. However, their convergence ...