IoT Demonstration Platform for Education and Research

Nykyri, Mikko; Kuisma, Mikko; Kärkkäinen, Tommi J.; Hallikas, Jukka; Jäppinen, Janne; Korpinen, Katriina; Silventoinen, Pertti

doi:10.1109/indin41052.2019.8972280

Cited by 9 publications

(6 citation statements)

References 21 publications

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“…Waheed et al [25] documented that IoT facilitates organizations in building digital platforms and adopting machine learning. The prior findings of Nykyri et al [34] suggested that IoT is a set of all processes and applications of technological resources to develop platforms for acquisition and dissemination of data and information.…”

Section: Discussionmentioning

confidence: 99%

Machine Learning Adoption in Educational Institutions: Role of Internet of Things and Digital Educational Platforms

Wang

2023

Sustainability

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The ever-increasing development of information technologies has led to the adoption of advanced learning techniques. In this regard, e-learning and machine learning are two of the emerging instructional means for educational institutes. The current study investigates the role of the Internet of Things (IoT) and digital educational platforms (DEPs) in the adoption of machine learning. The present research additionally investigated the function of DEPs as mediators between IoT and machine learning adoption. The department chairs or heads of 310 departments at 91 Chinese institutions provided the information. In order to analyze the data, we used SPSS 25.0 and SEM (structural equation modeling). The results demonstrated how crucial an impact IoT has on DEPs and the uptake of machine learning. DEPs directly affect machine learning adoption and also act as mediators. The findings also support the mediating role of DEPs in the IoT and machine learning adoption link. The current study contributes to both theory and practical management by examining how IoT is helpful for achieving machine learning adoption. Based on the responses of 91 educational departments, this is a unique study of the mechanisms to achieve machine learning adoption through IoT and DEPs.

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Section: Discussionmentioning

confidence: 99%

Machine Learning Adoption in Educational Institutions: Role of Internet of Things and Digital Educational Platforms

Wang

2023

Sustainability

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“…As observed in Fig. 9, home automation projects form the most widely reported real-world applications in IoT-based curricula [33], [36], [37], [41], [42], [44], [45], [78], [80], [91], [143]. Home automation projects apply to every aspect of daily life and are colloquially characterized as Smart applications.…”

Section: B Home Automationmentioning

confidence: 99%

“…In [45], and [36], students designed a coffee pot that communicated detailed information on the amount of coffee consumption and brewing time with a user. The authors of [36] reported on graduate Electrical Engineering (EE) and MBA students developing Cafe IoT -an IoT system that acquired and displayed data from a coffee maker in the break [31], [32], [34], [38], [42], [45], [78], [109] Home Automation Smart Coffee Machines, Integrated Smart House, Smart Home Security, Smart Faucet, Smart Refrigerator, Smart Pet Access Control System, Smart Morning Mat, Smart Water Bottle, Fire and Shock Detection, Smart Water Leak System [36], [37], [41], [44], [45], [78], [80], [91], [143], [144] Connected Infrastructure Smart Parking System, Smart Transportation -Wheelchairs, Bus Stop, and Bus Networks, Smart waste collection system [37], [41], [78], [127], Connected Biomedical Devices Baby Monitoring, Smart Wearable [37], [45]- [47], [143] Educational Robots Bluetooth and Wifi Controlled robots [52], [126] FIGURE 9: Student projects covering real-world applications noted in the literature reviewed in this paper room of the university. The system tracked the break room usage using Infrared motion sensors, the power consumption of the coffee maker, and the amount of brewed coffee.…”

Section: ) Smart Coffee Machinesmentioning

confidence: 99%

Internet-of-Things Curriculum, Pedagogy, and Assessment for STEM Education: A Review of Literature

et al. 2022

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The exponentially growing Internet of Things (IoT) market presents compelling opportunities for innovators to develop and create meaningful applications affecting everyday life. This shifting IoT paradigm is placing new demands on educational institutions to train students with IoT-relevant skills. Numerous education researchers continue to document the implementation of IoT-based curriculum, pedagogy, and assessment techniques for STEM education. In this paper, we systematically reviewed this literature and identified 60 journal articles and conference papers that have reported implementing IoT curriculum and associated instructional approaches, educational technologies, and assessment strategies for K-12 and university students. The curriculum, pedagogy, and assessment strategies presented in these studies were analyzed in the context of the sensing, networking, services, and interface layers of the IoT technology paradigm. The review identifies best educational practices and synthesizes actionable strategies for educators to implement effective IoT learning experiences for students. These strategies leverage low-cost IoT hardware, open-source IoT software, active learning-based instructional approaches, and direct/indirect assessment methods. As IoT education becomes increasingly pervasive, the review and strategies provided in this paper may serve as a guide for future educational efforts.

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“…The IBM Cloud was used to host development tools and technologies for implementing the IoT devices. IBM Watson IoT Platform [ 66 ] was chosen to host IoT devices and gateways. The Node-Red server provided communication between the IoT devices and servers while using the Constrained Application Protocol (CoAP).…”

Section: Framework Implementationmentioning

confidence: 99%

Multi-Layer Blockchain-Based Security Architecture for Internet of Things

Pajooh

Rashid

Alam

et al. 2021

Sensors

100

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The proliferation of smart devices in the Internet of Things (IoT) networks creates significant security challenges for the communications between such devices. Blockchain is a decentralized and distributed technology that can potentially tackle the security problems within the 5G-enabled IoT networks. This paper proposes a Multi layer Blockchain Security model to protect IoT networks while simplifying the implementation. The concept of clustering is utilized in order to facilitate the multi-layer architecture. The K-unknown clusters are defined within the IoT network by applying techniques that utillize a hybrid Evolutionary Computation Algorithm while using Simulated Annealing and Genetic Algorithms. The chosen cluster heads are responsible for local authentication and authorization. Local private blockchain implementation facilitates communications between the cluster heads and relevant base stations. Such a blockchain enhances credibility assurance and security while also providing a network authentication mechanism. The open-source Hyperledger Fabric Blockchain platform is deployed for the proposed model development. Base stations adopt a global blockchain approach to communicate with each other securely. The simulation results demonstrate that the proposed clustering algorithm performs well when compared to the earlier reported approaches. The proposed lightweight blockchain model is also shown to be better suited to balance network latency and throughput as compared to a traditional global blockchain.

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IoT Demonstration Platform for Education and Research

Cited by 9 publications

References 21 publications

Machine Learning Adoption in Educational Institutions: Role of Internet of Things and Digital Educational Platforms

Machine Learning Adoption in Educational Institutions: Role of Internet of Things and Digital Educational Platforms

Internet-of-Things Curriculum, Pedagogy, and Assessment for STEM Education: A Review of Literature

Multi-Layer Blockchain-Based Security Architecture for Internet of Things

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