Hands on arm based embedded system experiments using OMAP-L138 experimenter kit

2012 ◽  
Author(s):  
M. Aydin ◽  
R. Benveniste
Keyword(s):  
Embedded System ◽  
Hands On

scholarly journals Remote Laboratory Portal for Robotic and Embedded System Experiments

2013 ◽  
Vol 9 (S8) ◽  
pp. 23 ◽  
Author(s):  
Raivo Sell
Keyword(s):  
Embedded System ◽  
Engineering Education ◽  
The Internet ◽  
Remote Laboratory ◽  
Experiment System ◽  
Practical Experiment ◽  
Hands On ◽  
E Learning ◽  
Education Process

Engineering education process is heavily relying on the practical hands-on experimentation. However, todayâ??s education is involving more and more e-learning aspects and learners expect to get most of the content and activity available over the Internet. Practical experiments is not trivial to carry out over the Internet, but using novel ICT technologies and integrated solution, it is possible to offer real experimentation over the Internet. This paper describes and presents the remote practical experiment system in robotic and embedded system domain.

Teach real-time embedded system online with real hands-on labs

2009 ◽  
Vol 41 (3) ◽  
pp. 367-367 ◽  
Author(s):  
Kai Qian ◽  
Jigang Liu ◽  
Lixin Tao
Keyword(s):  
Embedded System ◽  
Real Time ◽  
Hands On

scholarly journals Hands on Wheel Classification Based on Depth Images and Neural Networks

2020 ◽  
Vol 308 ◽  
pp. 06003
Author(s):  
Jan-Christoph Schmitz ◽  
Stephan Tilgner ◽  
Kathrin Kalischewski ◽  
Daniel Wagner ◽  
Anton Kummert
Keyword(s):  
Embedded System ◽  
Class Imbalance ◽  
Computational Effort ◽  
Training Data ◽  
Steering Wheel ◽  
Depth Information ◽  
Further Training ◽  
Depth Images ◽  
Hands On ◽  
Roof Module

This paper describes a system to automatically observe if the driver has his hands on the wheel, which is important to know that he can intervene if necessary. To accomplish this an artificial neural network is used, which utilizes depth information captured by a camera in the roof module of the car. This means that the driver and the steering wheel are viewed from above. The created classification system is described. It is designed to require as little computational effort as possible, since the target application is on an embedded system in the car. A dataset is presented and the effect of a class imbalance that is incorporated in it is studied. Furthermore, it is examined which part, i.e. the depth or the intensity image, of the available data is important to achieve the best possible performance. Finally, by examining a learning curve, an experiment is made to find out whether the recording of further training data would be reasonable.

Hands-on and training on embedded system

2015 ◽  
Author(s):  
Zulzilawati Jusoh ◽  
Rosheila Darus ◽  
Mohamad Taib Miskon ◽  
Suziana Omar
Keyword(s):  
Embedded System ◽  
Hands On ◽  
And Training

scholarly journals Teaching Embedded System Design

2012 ◽  
Author(s):  
Ken Ferens
Keyword(s):  
Embedded System ◽  
System Design ◽  
Student Performance ◽  
Problem Analysis ◽  
Computer Engineering ◽  
Embedded System Design ◽  
Hands On ◽  
University Of Manitoba ◽  
The University ◽  
First Time

For the first time in the Department of Electrical and Computer Engineering at the University of Manitoba, a 100% hands-on course was implemented in the winter term of the 2011/2012 year. This course ECE 3730 Embedded System Design was introduced into the curriculum and designed specifically to correct an imbalance between computer and electrical engineering student pre-requisites; to address students studying only for the exam problem; and to directly assess student performance particularly in the CEAB attributes of Design, Investigation, Problem Analysis, and Tools.

The Research and Practice of Embedded Teaching Reform Based on CDIO

2013 ◽  
Vol 411-414 ◽  
pp. 2838-2841
Author(s):  
Guo Xiong Hu ◽  
Li Huang
Keyword(s):  
Embedded System ◽  
Engineering Education ◽  
Teaching Methods ◽  
System Construction ◽  
Basic Principles ◽  
Teaching Mode ◽  
Research And Practice ◽  
Teaching Reform ◽  
Hands On ◽  
Education Model

The CDIO (Conceive, Design, Implement and Operate) engineering education model emphasizes on learning from practices, it is a central manifestation of the principle of learning by hands on. Paper exemplify by embedded system course, focusing on 12 Basic principles of CDIO teaching mode, it states in details that from Curriculum system construction, teaching methods to teacher training etc. about reform methods. This means it is very helpful to other majors of engineering course.

Sign in / Sign up

Export Citation Format

Share Document