A Co-design Flow for Reconfigurable Embedded Computing System with RTOS Support

2009 ◽  
Author(s):  
Xiao-Wei Wang ◽  
Wei-Nan Chen ◽  
Ying Wang ◽  
Cheng-Lian Peng
Keyword(s):  
Computing System ◽  
Design Flow ◽  
Embedded Computing ◽  
Embedded Computing System

Rapid Embedded Programming in the Mathworks Environment

2002 ◽  
Vol 2 (3) ◽  
pp. 237-241 ◽  
Author(s):  
Daniel Burns and ◽  
Thomas G. Sugar
Keyword(s):  
Code Generation ◽  
Engineering Students ◽  
Force Feedback ◽  
Controller Design ◽  
Computing System ◽  
Embedded Computing ◽  
Loop Control ◽  
Loop Control System ◽  
Embedded Computing System ◽  
Automatic Code

New, commercially available, automatic, code-generation tools are used in teaching and lab exercises to progress from controller design, to simulation, and finally to implementation on mechanical hardware. An embedded computing system consists of a dedicated, digital, electronic-processor that controls a system that interacts with the environment. Case studies highlighting a force-feedback joystick and motor servo control with encoder feedback are presented to illustrate laboratory exercises that teach mechanical engineering students hardware-in-the-loop control system design. Using these software tools, design iterations and multiple controllers are quickly simulated and downloaded to the actual hardware.

scholarly journals Iot based Fire and Gas monitoring System

2021 ◽  
Vol 9 (VII) ◽  
pp. 3110-3117
Author(s):  
Aayush Doshi
Keyword(s):  
Data Gathering ◽  
Computing System ◽  
Wireless Data ◽  
Embedded Computing ◽  
Precision Data ◽  
Gas Leakage ◽  
Pollution Levels ◽  
Temperature Detector ◽  
Gas Detector ◽  
Embedded Computing System

In infrastructure and industrial plants the rapid growth is creating environmental issues like pollution, climate change and malfunctioning. It has a great consequence for the requirement of an operationally adaptable, efficient, cheap and smart monitoring systems. For this purpose we come up with idea to use these kind of technology i.e the Internet of Things (IoT) in form of a solution. In this paper, we suggest wireless data gathering frameworks that enable each detector node to track the changes in the behavioural pattern of gases and to identify their role in gas leakage problem, whilst at the same time trying to minimize power consumption. In the proposed device, the temperature detector (DHT 11) the gas detector (MQ2,MQ7 and MQ135) and also humidity sensors are used to determine the environment and the undesirable gas within the manufacturing plant, gauged details can be connected to the web. In addition, our research findings demonstrated substantial energy efficiency and high-precision data analysis relative to conventional protection device strategies. For monitoring the fluctuation of parameters like air pollution levels from their normal levels in this case the sensing devices are connected to the embedded computing system.

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