Commercial and Industrial Internet of Things Applications with the Raspberry Pi

Culic, Ioana; Radovici, Alexandru; Rusu, Cristián

doi:10.1007/978-1-4842-5296-3

Cited by 4 publications

(4 citation statements)

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“…The host is the next component of the designed platform of automatic identification. An inexpensive Raspberry Pi minicomputer (by Raspberry Pi Foundation, Cambridge, GB) is a perfect choice for the server for data acquisition and system management [14]. Of course, it is possible to use more sophisticated embedded systems, e.g., Intel development boards that are based on one of field programming gate array (FPGA) chips, as well as a typical personal computer PC.…”

Section: Conception Of Research Platformmentioning

confidence: 99%

“…Moreover, it is also worth choosing a data exchange protocol between the server and the node (RWD with microcontroller module) that does not cause too many problems in operation. For example, MQTT or HTTPS [2,[14][15][16] are often used. The decisive factor in choosing a development environment is also the level of support for a given software, as well as the possible access to datasheets and library descriptions.…”

Section: Conception Of Research Platformmentioning

confidence: 99%

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Test Platform for Developing Processes of Autonomous Identification in RFID Systems with Proximity-Range Read/Write Devices

2023

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The subject of a distributed RFID system with proximity-range read/write devices (RWD) is considered in this paper. Possible work scenarios were presented in the scope of industrial implementations and were then tested in a dedicated laboratory set. The development system is based on a high-frequency RWD integrated with a Wi-Fi microcontroller unit to create an Internet of things connected with a server (for data exchanging, user interface, etc.) via a wireless local area network. In practical applications, in order to increase the interrogation zone (IZ), there is a tendency to use one RWD with significant output power equipped with a multiplexer for managing several antennas located in the operational space. Such a solution is often economically unprofitable and even impossible to implement, especially in the case of the need to create the large IZ. Responding to market demand, the authors propose a distributed system developed on the basis of several cheap RFID reader modules and a few freely available hardware/software tools. They created the fully functional RFID platform and confirmed its usefulness in static and dynamic systems of object identification.

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Section: Conception Of Research Platformmentioning

confidence: 99%

Section: Conception Of Research Platformmentioning

confidence: 99%

Test Platform for Developing Processes of Autonomous Identification in RFID Systems with Proximity-Range Read/Write Devices

2023

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“…At the same time, the growing market of the Internet of Things, also in the consumer sector, has led to a constantly growing number of providers of suitable hardware and software. This offers the potential to create simple and costeffective solutions tailored to specific requirements [5].…”

Section: /1mentioning

confidence: 99%

A Versatile IoT-Approach to Process Data Acquisition

Behrens¹,

Krimm²,

Koß³

et al. 2021

Esaform 2021

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The acquisition and evaluation of process data in production engineering holds great potential. This allows detecting faulty processes at an early stage and processes to be optimized even more efficiently. However, the use of technologies for data acquisition in the manufacturing industry is far less widespread than the mentioned potential implies. This paper presents an Internet of Things approach by means of which production environments can be retrofitted easily and cost-effectively.

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“…In recent decades, virtual reality (VR) related techniques [ 3 , 4 ] have been extensively exploited in a plethora of applications [ 5 ] ranging from industrial manufacturing [ 6 ], healthcare [ 7 ], entertainment [ 8 , 9 ], and education [ 10 , 11 ]. Meanwhile, different types of Internet of things (IoT) have also been deployed in practice [ 12 ], e.g., commercial and industrial scenarios [ 13 , 14 ], medical assistance [ 15 ], and smart cities [ 16 ]. Both of them have shown their capacity and potential value in multidisciplinary tasks.…”

Section: Introductionmentioning

confidence: 99%

Virtual Reality and Internet of Things-Based Music Online Learning via the Graph Neural Network

Lian

Zhou

Han³

et al. 2022

Computational Intelligence and Neuroscience

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Virtual reality and the Internet of Things have shown their capability in a variety of tasks. However, their availability in online learning remains an unresolved issue. To bridge this gap, we propose a virtual reality and Internet of Things-based pipeline for online music learning. The one graph network is used to generate an automated evaluation of learning performance which traditionally was given by the teachers. To be specific, a graph neural network-based algorithm is employed to identify the real-time status of each student within an online class. In the proposed algorithm, the characteristics of each student collected from the multisensors deployed on their bodies are taken as the input feature for each node in the presented graph neural network. With the adoption of convolutional layers and dense layers as well as the similarity between each pair of students, the proposed approach can predict the future circumstance of the entire class. To evaluate the performance of our work, comparison experiments between several state-of-the-art algorithms and the proposed algorithm were conducted. The result from the experiments demonstrated that the graph neural network-based algorithm achieved competitive performance (sensitivity 91.24%, specificity 93.58%, and accuracy 89.79%) over the state-of-the-art.

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Commercial and Industrial Internet of Things Applications with the Raspberry Pi

Cited by 4 publications

References 0 publications

Test Platform for Developing Processes of Autonomous Identification in RFID Systems with Proximity-Range Read/Write Devices

Test Platform for Developing Processes of Autonomous Identification in RFID Systems with Proximity-Range Read/Write Devices

A Versatile IoT-Approach to Process Data Acquisition

Virtual Reality and Internet of Things-Based Music Online Learning via the Graph Neural Network

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