Experiences With IoT and AI in a Smart Campus for Optimizing Classroom Usage

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

doi:10.1109/jiot.2019.2902410

Cited by 84 publications

(59 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Advanced preventive and wellness models can track and assist citizens without physical constraints, such as remote patient monitoring and telehealth, electronic healthcare records systems, robotics and healthcare automation, and IoT-powered preventive healthcare [113]. A smart (public) university campus can be managed by using IoT devices for classroom management, an on-campus cashless payment system, and smart security [114]. IoT automates the operation of smart campuses and makes the teaching and learning process smooth so that stakeholders can focus on learning activities [115].…”

Section: Iot Service Orchestration With Smart Governmentmentioning

confidence: 99%

Success Factors Influencing Citizens’ Adoption of IoT Service Orchestration for Public Value Creation in Smart Government

Chohan

2020

IEEE Access

View full text Add to dashboard Cite

Digitization and lightning expansions in digital technology have made it possible to collect data on almost anything, making it easier to quantify and integrate the collected data. The diffusion of IoT technologies has fostered the government-citizen relationship, creating a powerful argument for public value creation. Thus, IoT service orchestration can influence the development and trustworthiness of intention to use behavior. This study aims to explore the success factors of IoT service orchestration to create public value in smart government by integrating ISST and cognitive trust into TAM. Based on the literature and research outcomes, a comprehensive IoT-based Public Value Model (IoT-PVM) was developed to provide a complete picture of system success. This conceptual model is validated analytically through a quantitative method using PLS-SEM. The findings highlight that IoT service orchestration can enable the government to deliver public value, just as public trust has a parental role in building citizens' positive behavior intentions towards the use of IoT in e-government services. The model explains 71.8% variance in perceived ease of use, 59.7% in public trust, 62.6% in perceived usefulness, 61.9% in usage behavior intention, and 69.8% of public value creation. The study results and discussion offer valuable insights regarding the public value creation of IoTempowered public services and also contribute to academic research literature and are practically helpful for policymakers for designing IoT service orchestration and making government smarter, more transparent, and responsive to citizens.

show abstract

Section: Iot Service Orchestration With Smart Governmentmentioning

confidence: 99%

Success Factors Influencing Citizens’ Adoption of IoT Service Orchestration for Public Value Creation in Smart Government

Chohan

2020

IEEE Access

View full text Add to dashboard Cite

show abstract

“…However, the analyses in this study use different configuration of sensors and develop several indicators to visualize the data of space use more descriptively. IoT for space use management in academic environments is investigated in a study by mathematical optimization of classroom allocation [ 6 ]. They inferred a 10% potential reduction in room costs by using a combination of the real and predicted number of occupants.…”

Section: Academic Buildings and Iot-based Smart Toolsmentioning

confidence: 99%

“…Such fluctuations are becoming more common with recent trends in student lifestyle and greater access to online materials, lectures, etc. [ 6 ]. Moreover, circumstances such as Covid-19 pandemic could significantly change the number of participants and the space use pattern in academic buildings.…”

Section: Introductionmentioning

confidence: 99%

Application of Internet of Things in academic buildings for space use efficiency using occupancy and booking data

Azizi

Nair

Rabiee

et al. 2020

Building and Environment

View full text Add to dashboard Cite

Environmental sustainability in academic buildings can be improved with management interventions such as improving space use efficiency supported by large data from the Internet of Things (IoT). Due to the potentials, the interest in the use of IoT tools for facility management is high among universities. However, empirical studies on this topic are scarce. To address the knowledge gap in this area, this study proposes and examines a process model with steps to measure space use and to improve space use efficiency by IoT tools in academic buildings. The applicability of the model is investigated in 8 lecture halls in a university building by using occupancy and booking data from IoT tools. Four space use indicators are developed to visualize the data and quantify space use, and based on them, the strategies and interventions for space use efficiency are proposed and discussed.

show abstract

“…In the context of smart digital campus networks, many research studies have been proposed to design and build smart digital campus networks with the appropriate technologies (e.g., traffic profiling, prediction of student attendance, etc.) to move towards digital education [1]- [5]. However, none of these works target service and resource-aware traffic management and optimization.…”

Section: Related Workmentioning

confidence: 99%

“…Staff and students are empowered with smart services, which boost efficiency for learning, collaborating, creating, and sharing. Many research studies [1]- [5] and industrial companies, such as Cisco [6], Campus Management Corp [7], Deloitte [8], and Ruckus [9] have revolutionized how to design, build and manage smart campus networks to move towards digital education.…”

Section: Introductionmentioning

confidence: 99%

Service and Resource Aware Flow Management Scheme for an SDN-Based Smart Digital Campus Environment

2020

View full text Add to dashboard Cite

Recently, campuses have been embracing smart digital technologies in order to boost the efficiency of education and creativity. Thus, massive heterogeneous flows are generated as a result of multitude simultaneous access from several heterogeneous devices. This is putting pressure on campuses to make better management of their constrained resources and to ensure the required Quality of Service (QoS). In this paper, we propose a multi-flow management scheme over a software-defined smart digital campus network, named Service and Resource Aware Flow Management (SRAFM). Our approach offers a unified fully-programmable architecture, a distributed end-host-based flow characterization plane, and a centralized software-defined optimization model to efficiently manage heterogeneous flows. Network functionalities, including QoS aware routing and resource allocation optimization, are formulated as a mixed-integer linear programming problem. Due to its NP-hard complexity, we propose an approximation algorithm in a decomposed fashion based on Lagrangian Dual Decomposition (LDD) and subgradient methods to find an optimal solution for flow management. We evaluate our scheme from different aspects, including the number of simultaneous heterogeneous flows, QoS provisioning, characterization impacts, and network scalability. Compared to the well-known benchmarks in QoS aware routing and optimization problem, SWAY and LARAC, our simulation results conducted with a large number of flows over a smallscale network show promising performance. The proposed scheme significantly improves the cost reduction by 51% as compared to LARAC, the end-to-end delay by 21% and 34%, the bandwidth availability by 27% and 36%, and the QoS violation by 11% and 29% as compared to SWAY and LARAC, respectively. INDEX TERMS Smart digital campus, Internet of Things (IoT), Software-Defined Networking (SDN), flow characterization, Quality of Service (QoS), distributed rate allocation, and resource optimization.

show abstract

Experiences With IoT and AI in a Smart Campus for Optimizing Classroom Usage

Cited by 84 publications

References 18 publications

Success Factors Influencing Citizens’ Adoption of IoT Service Orchestration for Public Value Creation in Smart Government

Success Factors Influencing Citizens’ Adoption of IoT Service Orchestration for Public Value Creation in Smart Government

Application of Internet of Things in academic buildings for space use efficiency using occupancy and booking data

Service and Resource Aware Flow Management Scheme for an SDN-Based Smart Digital Campus Environment

Contact Info

Product

Resources

About