Remote laboratory environment suitable for video stream management

Darko Fuduric and Mario Žagar

System suitable for remote video stream capturing and transmission is proposed. Hardware and software architecture suitable for these functions is discussed. Different possible parameter sets according to the existing requirements are proposed. Compatibility with existing networks and laboratory framework environment is mandatory, so common TCP/IP stack layer is used. Remote laboratory based on embedded systems and video stream monitoring of these systems is selected for practical work evaluation. It is suitable for teaching microcontroller fundamentals, providing automatic exercise work scoring and tracking users’ actions and results through practical work.

Remote Laboratory Java Server for Data Exchange with Matlab Automation Server

Pavol Bisták

This paper describes the control of real laboratory systems via Internet that is often called remote control laboratory. Remote laboratories are becoming a standard part of education and research. The principle of this remote laboratory is based on Matlab and COM technology for data exchange within the Windows operating system. Usually a control algorithm runs on a PC with Matlab that controls the real plant. This is the server side. For the purpose of a remote control a Java client server application has been developed. It covers communication and offers an user friendly interface for control of the remote plant and visualisation of measured data.

Automated User Support in Remote Experimentation Laboratories

Michael Callaghan, Jim Harkin, Martin McGinnity and Liam Maguire

Increasingly web based distance education courses are on offer augmented by the provision of remote experimentation laboratories.Developments in recent years have addressed many of these issues as this constant innovation has necessitated educational institutions and other training providers to continually reassess the content and delivery of engineering curricula in the context of this developing field. However autonomous learning environments by their very nature offer minimal educator assistance, and from a student’s perspective, it is inevitable that at some stage of the experimental process, context specific help will be required. This paper seeks to address this issue in relation to the practical aspect of web based engineering related courses and presents an intelligent help system to support students in the practical use of autonomous learning environments for remote experimentation.