Multi-objective optimization for sensor placement: An integrated combinatorial approach with reduced order model and Gaussian process
We develop a novel sensor placement method that maximizes monitoring performance
while minimizing deployment cost. Our method integrates a reduced order model and multi …
while minimizing deployment cost. Our method integrates a reduced order model and multi …
Iot-based vibration sensor data collection and emergency detection classification using long short term memory (lstm)
In this paper, we used a vibration sensor known as G-Link 200 to collect real time vibration
data. The sensor is connected through the internet gateway and Long Short Term Memory …
data. The sensor is connected through the internet gateway and Long Short Term Memory …
Generative adversarial network based scalable on-chip noise sensor placement
The relentless efforts towards power reduction of integrated circuits have led to the
prevalence of near-threshold computing paradigms. With the significantly reduced noise …
prevalence of near-threshold computing paradigms. With the significantly reduced noise …
Power management for multicore processors via heterogeneous voltage regulation and machine learning enabled adaptation
X Zhan, J Chen… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This work is based on the vision that the ultimate power integrity and efficiency may be best
achieved via a heterogeneous chain of voltage processing starting from onboard switching …
achieved via a heterogeneous chain of voltage processing starting from onboard switching …
Full-Chip Voltage Prediction via Graph Attention Based Neural Networks
Y Li, P Zhou - 2023 IEEE 15th International Conference on …, 2023 - ieeexplore.ieee.org
Power supply noise has been a rising threat to the normal functioning of a microprocessor in
the form of voltage emergence. The state-of-the-art commercial chips detect such …
the form of voltage emergence. The state-of-the-art commercial chips detect such …
[图书][B] Generative Adversarial Networks in Resource Constrained Environment
J Liu - 2020 - search.proquest.com
Abstract Generative Adversarial Networks (GANs) with the ability to generate samples
following almost any implicit distribution have been successfully applied to a number of …
following almost any implicit distribution have been successfully applied to a number of …
A cross-layer framework for temporal power and supply noise prediction
In modern microprocessor and SoC designs, supply noise margin has been significantly
reduced due to the continuously decreasing supply voltage level. On the other hand, with …
reduced due to the continuously decreasing supply voltage level. On the other hand, with …
Deep Learning for Spatial Supply Noise Estimation in a Processor Chip
To detect voltage emergency caused by supply voltage fluctuation, people have proposed
linear models to estimate the supply noise at a hotspot based on the readings of limited on …
linear models to estimate the supply noise at a hotspot based on the readings of limited on …
Design and cad of noise sensors for on-die supply voltage emergency detection
P Zhou - 2016 13th IEEE International Conference on Solid …, 2016 - ieeexplore.ieee.org
Power supply fluctuation can be potential threat to the correct operations of microprocessors,
in the form of voltage emergency that happens when supply voltage drops below a certain …
in the form of voltage emergency that happens when supply voltage drops below a certain …
[PDF][PDF] Proactive Supply Noise Mitigation and Design
陳俊 - 2020 - ir.library.osaka-u.ac.jp
With the scaling down of the technology node, both power consumption, and supply noise
are continuously increasing in modern VLSI designs. The emergent power supply noise …
are continuously increasing in modern VLSI designs. The emergent power supply noise …