A low-cost, free-software platform with hard real-time performance for control engineering education

2018 ◽  
Vol 27 (2) ◽  
pp. 406-418 ◽  
Author(s):  
Andrés M. González-Vargas ◽  
Juan M. Serna-Ramirez ◽  
Carlos Fory-Aguirre ◽  
Alejandro Ojeda-Misses ◽  
John M. Cardona-Ordoñez ◽  
...  
Keyword(s):  
Engineering Education ◽  
Real Time ◽  
Low Cost ◽  
Free Software ◽  
Software Platform ◽  
Control Engineering ◽  
Time Performance ◽  
Hard Real Time

scholarly journals Design and implementation of water level control for two coupled tank as a simple and low cost apparatus in automatic control engineering education

2019 ◽  
Vol 1153 ◽  
pp. 012149
Author(s):  
Reza Fauzi Iskandar ◽  
Baktiaji Bahari ◽  
Cut Vira ◽  
Faiz Auliya Ramadhan ◽  
Mochamad Roffa Firdaus ◽  
...  
Keyword(s):  
Automatic Control ◽  
Engineering Education ◽  
Water Level ◽  
Low Cost ◽  
Level Control ◽  
Control Engineering ◽  
Design And Implementation

scholarly journals Hierarchical Scheduling for Real-Time Periodic Tasks in Symmetric Multiprocessing

2021 ◽  
Author(s):  
Tom Springer ◽  
Peiyi Zhao
Keyword(s):  
Real Time ◽  
Response Times ◽  
Periodic Tasks ◽  
Global Scheduling ◽  
Hierarchical Scheduling ◽  
Time Performance ◽  
Performance Guarantees ◽  
Partitioned Scheduling ◽  
Hard Real Time ◽  
Time Periodic

In this paper, we present a new hierarchical scheduling framework for periodic tasks in symmetric multiprocessor (SMP) platforms. Partitioned and global scheduling are the two main approaches used by SMP based systems where global scheduling is recommended for overall performance and partitioned scheduling is recommended for hard real-time performance. Our approach combines both the global and partitioned approaches of traditional SMP-based schedulers to provide hard real-time performance guarantees for critical tasks and improved response times for soft real-time tasks. Implemented as part of VxWorks, the results are confirmed using a real-time benchmark application, where response times were improved for soft real-time tasks while still providing hard real-time performance.

scholarly journals IOTFlood: hardware and software platform using internet of things to monitor floods in real time

2021 ◽  
Vol 16 (4) ◽  
pp. 1
Author(s):  
Francisco Vital Da Silva Júnior ◽  
Mônica Ximenes Carneiro Da Cunha ◽  
Marcílio Ferreira De Souza Júnior
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Monitoring System ◽  
Research Design ◽  
Open Source Software ◽  
Low Cost ◽  
Sensor Data ◽  
Software Platform ◽  
Web Interface ◽  
Iot Platform

Floods are responsible for a high number of human and material losses every year. Monitoring of river levels is usually performed with radar and pre-configured sensors. However, a major flood can occur quickly. This justifies the implementation of a real-time monitoring system. This work presents a hardware and software platform that uses Internet of Things (IoTFlood) to generate flood alerts to agencies responsible for monitoring by sending automatic messages about the situation of rivers. Research design involved laboratory and field scenarios, simulating floods using mockups, and later tested on the Mundaú River, state of Alagoas, Brazil, where flooding episodes have already occurred. As a result, a low-cost, modular and scalable IoT platform was achieved, where sensor data can be accessed through a web interface or smartphone, without the need for existing infrastructure at the site where the IOTFlood solution was installed using affordable hardware, open source software and free online services for the viewing of collected data.

scholarly journals Emulation-Based Virtual Laboratories: A Low-Cost Alternative to Physical Experiments in Control Engineering Education

2011 ◽  
Vol 54 (1) ◽  
pp. 48-55 ◽  
Author(s):  
Graham C. Goodwin ◽  
Adrian M. Medioli ◽  
Willy Sher ◽  
Ljubo B. Vlacic ◽  
James S. Welsh
Keyword(s):  
Engineering Education ◽  
Low Cost ◽  
Control Engineering ◽  
Physical Experiments ◽  
Virtual Laboratories

A SOFTWARE ENGINEERING DESIGN TOOL FOR MODELING HARD REAL-TIME PERFORMANCE

1996 ◽  
Vol 06 (02) ◽  
pp. 179-200
Author(s):  
K.J. FOWLER
Keyword(s):  
Engineering Design ◽  
Real Time ◽  
Object Oriented ◽  
Design Tool ◽  
Digital Systems ◽  
Spare Capacity ◽  
Design Change ◽  
Time Performance ◽  
Monotonic Analysis ◽  
Hard Real Time

Hard real-time digital systems are a small but important segment of the installed software base because of failure impact. Deadline feasibility can be optimally determined in this domain through rate monotonic analysis, but performance is difficult to predict unless design change effects on spare capacity are measured. We measure units of concurrency as formal aggregations of reusable modules. In this manner, object-oriented construction can be compatible with hard real-time response requirements.

scholarly journals Machine-learning-based children’s pathological gait classification with low-cost gait-recognition system

2021 ◽  
Author(s):  
Linghui Xu ◽  
Jiansong Chen ◽  
Fei Wang ◽  
Yuting Chen ◽  
Wei Yang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Real Time ◽  
Plantar Pressure ◽  
Recognition Accuracy ◽  
Low Cost ◽  
Gait Recognition ◽  
Recognition System ◽  
Experimental Results ◽  
Time Performance ◽  
Pathological Gait

Abstract Background: Pathological gaits of children may lead to terrible diseases, such as osteoarthritis or scoliosis. By monitoring the gait pattern of a child, proper therapeutic measures can be recommended to avoid the terrible consequence. However, low-cost systems for pathological gait recognition of children automatically have not been on market yet. Our goal was to design a low-cost gait-recognition system for children with only pressure information.Methods: In this study, we design a pathological gait-recognition system (PGRS) with an 8 × 8 pressure-sensor array. An intelligent gait-recognition method (IGRM) based on machine learning and pure plantar pressure information is also proposed in static and dynamic sections to realize high accuracy and good real-time performance. To verifying the recognition effect, a total of seventeen children were recruited in the experiments wearing PGRS to recognize three pathological gaits (toe in, toe out, and flat) and normal gait. Children are asked to walk naturally on level ground in the dynamic section or stand naturally and comfortably in the static section. The evaluation of the performance of recognition results included stratified 10-fold cross-validation with recall, precision, and a time cost as metrics.Results: The experimental results show that all of the IGRMs have been identified with a practically applicable degree of average accuracy either in the dynamic or static section. Experimental results indicate that the IGRM has 92.41% and 97.79% recognition accuracy respectively in the static and dynamic sections. And we find methods in the static section have less recognition accuracy due to the unnatural gesture of children when standing.Conclusions: In this study, a low-cost PGRS has been verified and realize feasibility, highly average precision, and good real-time performance of gait recognition. The experimental results reveal the potential for the computer supervision of non-pathological and pathological gaits in the plantar-pressure patterns of children and for providing feedback in the application of gait-abnormality rectification.

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