Remote-controlled Laboratories of Experimental Physics: Measuring the Stiffness of a Spring

Journal Title: Transactions on Machine Learning and Artificial Intelligence - Year 2017, Vol 5, Issue 4

Abstract

In modern ELearning, students and scientists will be able to access Web portals for scientific computer and data infrastructures, thus accessing large collections of data and digital objects using metadata, knowledge management techniques, and specific data services. Students will apply existing scalable Web and grid technologies to access and share scientific data, using educational and computing resources to run scientific Practical exercises. Such an approach will allow the creation of enriched interactive through a real devices and real remote mechanisms that interactively support the exploration of scientific phenomena. Advanced repository and collaboration services will allow students to remotely and securely upand download science and engineering learning objects. Elab is essentially created to realize experiments by interacting with real devices that are real remote mechanisms, through an appropriate telecommunications platform, equipped with a dedicated management system and a number of software interfaces and material. Our works is aiming to: Measurement of the rigidity of a spring. This method translator pedagogical experiences and turn them into reality at an affordable, expand research sources to students.

Authors and Affiliations

AL Sabri Ahmed, Khazri Yassine, Moussetad Mohamed, Akensous Youness, Fahli Ahmed

Keywords

Related Articles

Gamification for Arabic Natural Language Processing: Ideas into Practice

Gamification is a novel IT development that focuses on how to address the use of games and apply game design techniques in a nongaming context. Recently, it has significantly attracted several researchers’ attention conc...

Survey and Comparative Study on Agile Methods in Software Engineering

Today‘s business environment is very much dynamic, and organizations are constantly changing their software requirements to adjust with new environment. They also demand for fast delivery of software products as well as...

Fuzzy Rough Classification Models for Network Intrusion Detection

In recent years advancements in communication technology have led to a wide range of Internet services. While an overwhelming number of Internet users have shown interest in such services, incidences of cyber-attacks by...

Stress Management in Primary Caregivers: A Health Challenge

Technology based advances in healthcare are leading to social changes that, in turn, will require innovative responses from health systems. Mainly due to these advances, life expectancy grows so, the aging of world popul...

Comparison of Predictive Models for Transferring Stroke In-Patients to Intensive Care Unit

The cost for Intensive Care Unit (ICU) resources is extremely high and it affects healthcare budget that provides quality healthcare service for patients. Thus, the need for a predictive model for the decision to transfe...

Download PDF file
  • EP ID EP308580
  • DOI 10.14738/tmlai.54.3187
  • Views 70
  • Downloads 0

How To Cite

AL Sabri Ahmed, Khazri Yassine, Moussetad Mohamed, Akensous Youness, Fahli Ahmed (2017). Remote-controlled Laboratories of Experimental Physics: Measuring the Stiffness of a Spring. Transactions on Machine Learning and Artificial Intelligence, 5(4), 231-239. https://europub.co.uk/articles/-A-308580