Remote lab implementation on an embedded web server

Alexander, Prokhorov; Radhakrishnan, N.

doi:10.1109/iccpct.2015.7159525

Cited by 11 publications

(5 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Anotherimplicationoftheabovepreliminaryfindingsisintheroleoflow-costdataloggers,which aregettingcheaperandmorepowerfulastechnologyadvances,incollectingdatafromlocalphysics experiments.Theseauthenticdatacanthenbeusedtodoinquiryonlinewithcognitivesupportlike whatonedoesinavirtuallaboraremotelab.However,paststudiesrarelylookintohowtodesign cognitivetoolstosupportinquirywithauthenticdata.Gettingmoreconsciousofthedevelopmentof affordabledataloggers,researchersarestartingtolookintohowremotelabscantakeadvantageof theseloggersinbothremoteandlocallabs (e.g.,Lustigetal.,2018;Cvjetkovic&Stankovic,2016;Salzmann et al, 2015;Alexander & Radhakrishnan, 2015;Magdum & Patane, 2016). But more researcheffortsmustbemadetoadaptmodelingtoolsfrompastresearchtosupportinquirywith authenticdatathatcanbecollectedfromaffordabledevicesatschoolorathome.…”

Section: Discussionmentioning

confidence: 99%

Online Scaffolding for Data Modeling in Low-Cost Physical Labs

Wong

Chao

Chang

et al. 2019

International Journal of Distance Education Technologies

View full text Add to dashboard Cite

There has been an ongoing debate of which physical labs or virtual labs are better. To resolve this issue, a remote lab provides an online lab that can do real experiments to obtain real data from a distant physical lab. Instead of relying on a remote lab, this article suggests that students collect experimental data locally with low-cost data loggers and then model the data with a web tool that provides scaffold support like a remote lab or virtual lab. In this study, 32 tenth-grade students ran physics labs and collected data with NXT, smartphones, and digital video recorder. This study investigates how a web tool assists in data visualization, hypothesis generation, hypothesis testing, and regulation of the discovery process. Results indicated the students became more sensitive in applying strategies of parameter tuning and backtracking. Questionnaire responses indicated the students found such physical labs to be satisfying.

show abstract

Section: Discussionmentioning

confidence: 99%

Online Scaffolding for Data Modeling in Low-Cost Physical Labs

Wong

Chao

Chang

et al. 2019

International Journal of Distance Education Technologies

View full text Add to dashboard Cite

show abstract

“…This, however, cannot be used by the teacher during classes, because several simultaneous accesses are expected. Other laboratories are focused on the development of low-cost remote experimentation [39]- [41], but are not integrated into a RLMS that provides features such as authentication, LMS integration, federation or queue and reserve management, that guarantee scalability. All these systems focus on reducing the infrastructure required for laboratory deployment, and sometimes even provide the capability of balancing load among several instances of the same laboratory.…”

Section: Related Workmentioning

confidence: 99%

“…These laboratories, while still being a good alternative for providing physical decoupling, are not extremely cost-efficient, because the laboratory hardware to user relationship is one to one. From an architectural point of view, laboratories [36]- [38] present a centralized distribution focused solely on the specific experiment itself, while laboratories [39]- [41] have been designed on a distributed architecture focused on cost reduction to favor scalability. This work proposes an architecture focused on scalability that allows the deployment of the desired number of instances of experimentation at a low cost, in order to provide simultaneous access to large student numbers and not hinder the experimentation capability.…”

Section: Related Workmentioning

confidence: 99%

Improving the Scalability and Replicability of Embedded Systems Remote Laboratories Through a Cost-Effective Architecture

et al. 2019

View full text Add to dashboard Cite

Online remote laboratories are a particularly promising tool for effective STEM education. They offer online universal access to different hardware devices in which students can experiment and can test and improve their knowledge. However, most of them have two significant limitations. First, given that most of them are developed as, or evolve from single-user proofs of concept, they have no scalability provisions other than full laboratory replication. And second, when this is done, cost efficiency is often neglected. This paper presents the requirements for the creation of a novel remote laboratory architecture focused on, but not limited to, embedded systems experimentation. An architecture, based on Redis (an open source, in-memory data structure store, which is often used as database, cache or message broker), a modular design, and hardware-sharing techniques, is proposed in order to achieve the combined requirements of high scalability and cost efficiency. This mixed hardware-software architecture serves as a basis for the development of remote laboratories, especially those focused on microcontroller-based systems experimentation and embedded devices experimentation. From a user perspective the architecture is webbased, and has provisions to be easily adaptable to different Learning Management Systems and different hardware embedded devices. A new microcontroller-oriented remote laboratory based on the architecture has been developed, with the aim of providing valid evaluation data, and has been used in a real environment. The architecture and the resulting remote laboratory have been compared with other state of the art remote laboratories and their architectures. Results suggest that the proposed architecture does indeed meet the main requirements, which are scalability through replicability and cost efficiency. Furthermore, similarly to previous architectures, it promotes usability, universal access, modularity and reliability. INDEX TERMS Remote laboratory, scalability, embedded system, online experimentation, architecture. JAVIER GARCÍA-ZUBÍA (M'08-SM'11) received the Ph.D. degree in computer science from the University of Deusto, Spain. He is currently a Full Professor with the Faculty of Engineering, University of Deusto. He is the Leader of the WebLab-Deusto Research Group. His research interests include remote laboratory design, implementation, and evaluation. DIEGO LÓPEZ-DE-IPIÑA received the Ph.D. degree from the University of Cambridge, in 2002. Responsible for several modules in the B.Sc. and M.Sc. degrees in computer engineering, he is interested in pervasive computing, the IoT, semantic service middleware, open linked data, and social data mining. He is currently an Associate Professor and a Principal Researcher with the MORElab Group, Faculty of Engineering, University of Deusto. He is taking and has taken part in several big consortium-based research European (EDI, GreenSoul, WeLive, SIM-PATICO, IES CITIES, or GOLAB) and Spanish projects, and has more than

show abstract

“…There are presented extensions of this concept, which allow designers to implement the remote laboratory on a single-board computer (SBC), but still it requires to run a full-featured operating system, e.g. Linux [3]. Such an operating system requires a large amount of hardware resources and energy.…”

Section: Related Research and Available Solutionsmentioning

confidence: 99%

Remote Programming and Reconfiguration System for Embedded Devices

Michalec¹,

Wojczuk²,

Brzoza-Woch³

et al. 2019

Proceedings of the 2019 Federated Conference on Computer Science and Information Systems

View full text Add to dashboard Cite

This article presents a concept of a system which can be utilized as a remote management add-on for embedded devices. It can be applied to resource-constrained wireless sensors and IoT nodes based on a general purpose microcontroller unit or a field programmable gate array (FPGA) chip. The proposed solution facilitates remote firmware update, management, and operation monitoring. Thanks to the utilization of standard protocols and interfaces, the proposed system is very flexible and it can be easily customized for multiple modern microcontrollers or programmable logic chips. The presented system can be an efficient solution for fast prototyping and it can be an alternative to a time-consuming process of bootloader development for ad hoc devices. It can also be applied to remote laboratory access for educational purposes. A proof of concept prototype implementation has been successfully developed and evaluated. The implementation is available on a free license and utilizes a commonly available and inexpensive hardware platform.

show abstract

Remote lab implementation on an embedded web server

Cited by 11 publications

References 8 publications

Online Scaffolding for Data Modeling in Low-Cost Physical Labs

Online Scaffolding for Data Modeling in Low-Cost Physical Labs

Improving the Scalability and Replicability of Embedded Systems Remote Laboratories Through a Cost-Effective Architecture

Remote Programming and Reconfiguration System for Embedded Devices

Contact Info

Product

Resources

About