Data-Driven Monitoring and Optimization of Classroom Usage in a Smart Campus

Sutjarittham, Thanchanok; Gharakheili, Hassan Habibi; Kanhere, Salil S.; Sivaraman, Vijay

doi:10.1109/ipsn.2018.00050

Cited by 21 publications

(12 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…• Classroom attendance. Different student monitoring systems have been proposed, which make use of IoT and artificial intelligence to control student classroom attendance [106] and their access to sport facilities [107]. • Remote health monitoring.…”

mentioning

confidence: 99%

Towards Next Generation Teaching, Learning, and Context-Aware Applications for Higher Education: A Review on Blockchain, IoT, Fog and Edge Computing Enabled Smart Campuses and Universities

2019

View full text Add to dashboard Cite

Smart campuses and smart universities make use of IT infrastructure that is similar to the one required by smart cities, which take advantage of Internet of Things (IoT) and cloud computing solutions to monitor and actuate on the multiple systems of a university. As a consequence, smart campuses and universities need to provide connectivity to IoT nodes and gateways, and deploy architectures that allow for offering not only a good communications range through the latest wireless and wired technologies, but also reduced energy consumption to maximize IoT node battery life. In addition, such architectures have to consider the use of technologies like blockchain, which are able to deliver accountability, transparency, cyber-security and redundancy to the processes and data managed by a university. This article reviews the state of the start on the application of the latest key technologies for the development of smart campuses and universities. After defining the essential characteristics of a smart campus/university, the latest communications architectures and technologies are detailed and the most relevant smart campus deployments are analyzed. Moreover, the use of blockchain in higher education applications is studied. Therefore, this article provides useful guidelines to the university planners, IoT vendors and developers that will be responsible for creating the next generation of smart campuses and universities.

show abstract

mentioning

confidence: 99%

Towards Next Generation Teaching, Learning, and Context-Aware Applications for Higher Education: A Review on Blockchain, IoT, Fog and Edge Computing Enabled Smart Campuses and Universities

2019

View full text Add to dashboard Cite

show abstract

“…[79] presents an ontology for an IoT-enabled smart classroom to deal with semantic interoperability issues. [109] studied instrument smart campus with monitoring sensors to measure classroom attendance without endangering student privacy. [133] used AI to predict attendance, and performing optimal allocation of rooms to courses so as to minimize space wastage.…”

Section: ) Smart Learningmentioning

confidence: 99%

A Systematic Review on Technologies and Applications in Smart Campus: A Human-Centered Case Study

Zhang

Yip

et al. 2022

IEEE Access

View full text Add to dashboard Cite

show abstract

“…In University of New South Wales (Australia), Sutjarittham et al [47] proposed a beam-counter based system to measure attendance and developed an optimization algorithm for allocating courses to rooms based on the collected data. The method was tested in 9 real classrooms over a period of 12 weeks, showing that using attendance rather than enrollments results in potential savings of 52% in room cost.…”

Section: E Role Of Occupantsmentioning

confidence: 99%

Smart Campuses: Extensive Review of the Last Decade of Research and Current Challenges

et al. 2021

View full text Add to dashboard Cite

Novel intelligent systems to assist the energy transition and improve sustainability and people's life can be deployed at different scales, ranging from a house to an entire region. University campuses are an interesting intermediate size (big enough to matter and small enough to be tractable) for research, development, test and training on the integration of smartness at all levels, which led to the emergence of the concept of "smart campus" over the last few years. This review article proposes an extensive analysis of the scientific literature on smart campuses from the last decade (2010-2020). The 182 selected publications are distributed into seven categories of smartness: smart building, smart environment, smart mobility, smart living, smart people, smart governance and smart data. The main open questions and challenges regarding smart campuses are presented at the end of the review and deal with sustainability and energy transition, acceptability and ethics, learning models, open data policies and interoperability. The present work was carried out within the framework of the Energy Network of the Regional Leaders Summit (RLS-Energy) as part of its multilateral research efforts on smart regions.

show abstract

Data-Driven Monitoring and Optimization of Classroom Usage in a Smart Campus

Cited by 21 publications

References 11 publications

Towards Next Generation Teaching, Learning, and Context-Aware Applications for Higher Education: A Review on Blockchain, IoT, Fog and Edge Computing Enabled Smart Campuses and Universities

Towards Next Generation Teaching, Learning, and Context-Aware Applications for Higher Education: A Review on Blockchain, IoT, Fog and Edge Computing Enabled Smart Campuses and Universities

A Systematic Review on Technologies and Applications in Smart Campus: A Human-Centered Case Study

Smart Campuses: Extensive Review of the Last Decade of Research and Current Challenges

Contact Info

Product

Resources

About