scholarly journals High accuracy, Low Power Spread Spectrum Clock Generator to Reduce EMI for Automotive Applications

2014 ◽  
Vol 3 (6) ◽  
pp. 404-409
Author(s):  
Dongsoo Lee ◽  
Jinwook Choi ◽  
Seongjin Oh ◽  
SangYun Kim ◽  
Kang-Yoon Lee
Keyword(s):  
Low Power ◽  
Spread Spectrum ◽  
High Accuracy ◽  
Clock Generator ◽  
Automotive Applications

scholarly journals A Machine Vision Approach for Bioreactor Foam Sensing

2021 ◽  
pp. 247263032110088
Author(s):  
Jonas Austerjost ◽  
Robert Söldner ◽  
Christoffer Edlund ◽  
Johan Trygg ◽  
David Pollard ◽  
...  
Keyword(s):  
Machine Learning ◽  
Machine Vision ◽  
State Of The Art ◽  
Low Cost ◽  
High Accuracy ◽  
Consumer Electronics ◽  
Learning System ◽  
Automotive Applications ◽  
Fine Grained

Machine vision is a powerful technology that has become increasingly popular and accurate during the last decade due to rapid advances in the field of machine learning. The majority of machine vision applications are currently found in consumer electronics, automotive applications, and quality control, yet the potential for bioprocessing applications is tremendous. For instance, detecting and controlling foam emergence is important for all upstream bioprocesses, but the lack of robust foam sensing often leads to batch failures from foam-outs or overaddition of antifoam agents. Here, we report a new low-cost, flexible, and reliable foam sensor concept for bioreactor applications. The concept applies convolutional neural networks (CNNs), a state-of-the-art machine learning system for image processing. The implemented method shows high accuracy for both binary foam detection (foam/no foam) and fine-grained classification of foam levels.

A 3.5 GHz Spread-Spectrum Clock Generator With a Memoryless Newton-Raphson Modulation Profile

2012 ◽  
Vol 47 (5) ◽  
pp. 1199-1208 ◽  
Author(s):  
Sewook Hwang ◽  
Minyoung Song ◽  
Young-Ho Kwak ◽  
Inhwa Jung ◽  
Chulwoo Kim
Keyword(s):  
Spread Spectrum ◽  
Clock Generator ◽  
Newton Raphson
Sign in / Sign up

Export Citation Format

Share Document