scholarly journals An Energy-Efficient Time-Domain Analog CMOS BinaryConnect Neural Network Processor Based on a Pulse-Width Modulation Approach

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 2644-2654
Author(s):  
Masatoshi Yamaguchi ◽  
Goki Iwamoto ◽  
Yuta Nishimura ◽  
Hakaru Tamukoh ◽  
Takashi Morie
Keyword(s):  
Neural Network ◽  
Time Domain ◽  
Energy Efficient ◽  
Pulse Width ◽  
Pulse Width Modulation ◽  
Network Processor ◽  
Analog Cmos

Dynamic Dimming of Highway Lights Using Internet of Things (IoT)

2020 ◽  
Vol 17 (4) ◽  
pp. 1666-1670
Author(s):  
S. Aravind Suraj ◽  
P. Ashwin Kumar Thachat ◽  
Sayam ◽  
Visnu Dharsini
Keyword(s):  
Energy Source ◽  
Power Consumption ◽  
Energy Efficient ◽  
Pulse Width ◽  
Pulse Width Modulation ◽  
Reducing Power ◽  
Sodium Vapor ◽  
Reduce Power Consumption ◽  
The Public ◽  
Reducing Energy

Conventional highway lights use power consuming sodium vapor lamps. Replacing Sodium vapor lamps with LEDs reduce power consumption by up to 50%. Dimming the lights when not required can further reduce power consumption. The proposed system aims at reducing power consumption by analyzing the presence of vehicles using an ultrasonic sensor and dynamically adjusting the intensity of the highway lights through Pulse Width Modulation. The proposed module aims at reducing energy consumption without compromising on the safety of the public. It operates on a renewable energy source making it even more energy efficient.

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