Rapid and low-cost context-switch through embedded processor customization for real-time and control applications

2006 ◽  
Author(s):  
Xianarong Zhou ◽  
P. Petrov
Keyword(s):  
Real Time ◽  
Low Cost ◽  
Embedded Processor ◽  
Control Applications ◽  
Context Switch ◽  
And Control

Toward Seamless Interoperability Between Real-Time Drilling Management and Control Applications

2019 ◽  
Author(s):  
Eric Cayeux ◽  
Benoît Daireaux ◽  
Nejm Saadallah ◽  
Sergey Alyaev
Keyword(s):  
Real Time ◽  
Control Applications ◽  
And Control

Embedded Processors Nios II-Based LCD Display System Design

2014 ◽  
Vol 513-517 ◽  
pp. 2199-2202 ◽  
Author(s):  
Li Li Tang ◽  
Shao Jun Yao ◽  
Wei Huang ◽  
Jing Wang
Keyword(s):  
Low Cost ◽  
Soft Core ◽  
Embedded Processor ◽  
Interface Circuit ◽  
Hardware Interface ◽  
Development Processes ◽  
Machine Interface ◽  
Software And Hardware ◽  
And Control ◽  
Embedded Applications

Altera's Nios soft core embedded processor, with its low cost, flexible design, etc., has been widely used in embedded applications, while LCD is also increasingly used in a variety of instrumentation and control system as a man-machine interface and display modules. This paper presents a LCD screen of the software and hardware design based on a soft-core Nios embedded processor, introducing hardware interface circuit and software development processes which control the LCD screen, and the corresponding procedures.

scholarly journals Utilization of programmable cameras for web-based sensing and control of daylight in buildings

2021 ◽  
Vol 2042 (1) ◽  
pp. 012114
Author(s):  
Dongjun Mah ◽  
Michael Kim ◽  
Athanasios Tzempelikos
Keyword(s):  
Real Time ◽  
Computational Efficiency ◽  
Low Cost ◽  
Visual Environment ◽  
Rear Side ◽  
Web Based ◽  
Computer Screen ◽  
And Control ◽  
Sky Conditions ◽  
Camera Sensors

Abstract The concept of integrating programmable low-cost cameras into the office infrastructure and BMS for real-time, web-based sensing and control of the luminous environment in buildings is presented in this study. Experiments were conducted to evaluate the potential of predicting the luminance field perceived by an office occupant using a programmable calibrated HDR camera installed at the rear side of a computer monitor or on the wall behind the occupant, for a variety of sky conditions and shading options. The generated luminance maps using Python scripts with OpenCV packages were further processed to extract daylighting and glare metrics using Evalgare. The results showed that: (i) among the different camera resolutions that were compared, the 330x330 resolution was selected as the best option to balance between accurate capturing of visual environment and comfort and computational efficiency; (ii) a camera sensor embedded on the rear side of a computer screen could capture interior visual conditions consistently similarly to those viewed by the occupant, except for sunny conditions without proper shading protection. This prototype study paves the way for luminance monitoring and daylight control using programmable low-cost camera sensors embedded into the office infrastructure.

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