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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 ...
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. ...
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 ...
Unified Control based Adaptable Converters with a Fractional Harmonic Inter Converter Signalling channel for Dynamic tracking of PCC and Managing Multiple Converters Connected in Parallel in a Microgid
The increasing demand of energy over the past few years as well as the growing environmental
concerns have forced the mankind to look out for non conventional sources of
energy such as solar, wind etc. Consequently a ...
Safe Operating Area Reliability of AlGaN/GaN High Electron Mobility Transistors (HEMTs)
Gallium Nitride (GaN) based high electron mobility transistors (HEMTs) are extensively
considered for power switching and RF applications by the virtue of their unique
properties. However, despite of its attractive ...
Quantum-Drift-Diffusion Formalism Based Compact Model For Low Effective Mass Channel MOSFET
With the passage of time the semiconductor research community around the globe has progressed from a nearly four decades of dominating Silicon research to look for newer transistor materials, in the pursuit of more operating ...
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 ...
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 ...
Atom-to-circuit Modeling Strategy for 2d Transistors
Two-dimensional materials are now being considered as viable options for CMOS (complementary metal-oxide-semiconductor) technology extension due to their diverse electronic and opto-electronic properties. However, introduction ...