Towards a Simulator for Green Smart Campus Systems

Moraes, Priscila de Oliveira; Pisani, Flávia; Borin, Juliana Freitag

doi:10.5753/wcama.2020.11025

Cited by 3 publications

(2 citation statements)

References 29 publications

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“…Higher Educational Institutes (HEIs) are mentioned specifically under the fourth SDG, which ensures inclusive and equitable quality education while also promoting lifelong learning opportunities for all. HEIs could also contribute to the remaining SDGs through teaching, research output as well as campus initiatives, such as implementing green smart campus solutions (Moraes et al, 2020).…”

Section: Literature Reviewmentioning

confidence: 99%

A multi-attribute utility decision support tool for a smart campus—UAE as a case study

Ahmed

Saboor

Ahmad

et al. 2022

Front. Built Environ.

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The advancement in technologies in the education sector has improved living standards and acts as a sustaining factor for future development. Recently, the integration of technologies into the campus to transform it into a Smart Campus has experienced exponential growth in interest from researchers. Though various definitions of the concept of ‘Smart Campus’ have been proposed, the integration of the end users’ perception is always lacking in the concept. This study, therefore, intends to build on the theory to classify the most significant criteria that underpin the ‘Smart Campus’ by considering the institute’s stakeholders’ perceptions. A multi-step methodological approach is adopted to develop a decision support tool that allows the decision makers to invest in the optimum solution to transform a traditional campus into a smart campus. The study initially looks into the criteria and sub-criteria from the literature that defines a ‘Smart Campus’. Secondly, a survey was conducted by targeting a sample of students, faculty, administrative staff, and IT support personnel from a leading institute in the UAE region as a single case study. Thirdly, an AHP analysis was performed among different stakeholders. The findings suggested that there exists a consensus among the perception of a diverse group of participants who perceive smart security and safety, campus navigation, and adaptive learning as the most important criteria and applications to transform the traditional campus into a smart campus. Finally, the decision support tool development on the Utility function model allows the decision makers, i.e., Network Managers, IT Managers, Systems and Cloud Managers, and Senior Managers from the Finance departments, to make informed and strategic decisions in terms of the optimum solution for the transformation from a traditional campus to a smart campus.

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Section: Literature Reviewmentioning

confidence: 99%

A multi-attribute utility decision support tool for a smart campus—UAE as a case study

Ahmed

Saboor

Ahmad

et al. 2022

Front. Built Environ.

View full text Add to dashboard Cite

show abstract

“…This responsibility of the university will be achieved by making concerted efforts directly and indirectly and paying adequate attention to protecting the environment, social inclusion and comprehensive economic growth. One of the many ways universities can add value to sustainable development goals is to establish smart campus solutions (Moraes et al, 2020). Studies have shown that smart campus solutions provide technologies for achieving the following SDGs: clean water and sanitation (Kuo et al, 2018), affordable and clean energy (Weng et al, 2019;Yuliansyah et al, 2019), sustainable cities and communities (Liu et al, 2017;Subbarao et al, 2019), responsible consumption and production (Lo, 2019) and climate action (Liu et al, 2017;Rodrigues et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

A Systems Thinking Model for Transitioning Smart Campuses to Cities

Omotayo

Awuzie

Ajayi

et al. 2021

Front. Built Environ.

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The contribution of smart campuses to smart cities’ development and vice versa has been elucidated in extant literature. The micro-transfer of smart technologies and probable procurement and contracting models remain critical for such contributions to take place. This study used a systems thinking approach to establish the interrelationships existing between smart campus technologies which can be scaled towards the development of smart cities and assess the critical failure factors negating the micro-transfer of these technologies to smart city development initiatives in developing countries. To achieve its objective, the study adopted a phenomenological research design wherein qualitative data was elicited from a purposively selected sample of seven interviewees in South African Universities. The next phase of the analysis involved a thematic approach for the production of a causal loop diagram (CLD) reflecting the interrelationships between the abovementioned facets and the associated impact on the transference of knowledge and technologies from smart campuses to smart cities. This CLD was subsequently validated by a cohort of five experts. Findings from the validation phase were incorporated in an improved CLD which provided different archetypes for engendering successful transference. This study holds salient implications for universities, cities and other stakeholders seeking to engage in a quadruple helix innovative arrangement for smart campus/city development. This study concluded that smart campuses could act as living labs for future smartness of cities globally. Government funding and willingness to produce smart cities from campuses is a fundamental feature of creating smart infrastructure in cities.

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A systematic literature review on semantic models for IoT-enabled smart campus

Nagowah

Sta²,

Gobin-Rahimbux

2021

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Smart communities have recently gained much attention. Researchers have been trying to tackle a number of challenges faced by smart communities. Interoperability is one key challenge that occurs due to different systems using different knowledge representations. To solve interoperability problems, ontologies are seen as a promising solution as they provide a commonly agreed vocabulary for representing data that are understandable by stakeholders of smart communities. Smart communities make use of Internet of Things (IoT) and ubiquitous networks to support communication among objects and devices in such environments. Smart campuses are examples of smart communities. Recently, many articles related to ontologies focusing on smart communities and smart campuses in IoT environments, have been published. This paper presents a Systematic Literature Review that has been conducted using Google Scholar. 18 ontologies for smart communities/smart campuses have been identified and analyzed out of 341 articles from year 2010 to 2019. The review classifies the ontologies in terms of domain, ontologies being reused, availability online, limitations, language adopted and coverage. It additionally discusses on the standards, the level of expressiveness, the ontology development approaches and methodologies adopted by the identified ontologies. Our analysis shows that the identified ontologies have been developed based on different ontological commitments. None of them have come up with a core semantic model that models different collaborating domains in a smart campus such as smart learning, smart management, smart governance, smart room, smart health, smart library and smart parking among others and that enhances cross-domain interoperability in a such an environment. Further details on our findings are presented and discussed in the paper.

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Towards a Simulator for Green Smart Campus Systems

Cited by 3 publications

References 29 publications

A multi-attribute utility decision support tool for a smart campus—UAE as a case study

A multi-attribute utility decision support tool for a smart campus—UAE as a case study

A Systems Thinking Model for Transitioning Smart Campuses to Cities

A systematic literature review on semantic models for IoT-enabled smart campus

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