ID | 66867 |
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Author |
Panduman, Yohanes Yohanie Fridelin
Graduate School of Natural Science and Technology, Okayama University
Funabiki, Nobuo
Graduate School of Natural Science and Technology, Okayama University
Kaken ID
publons
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Fajrianti, Evianita Dewi
Graduate School of Natural Science and Technology, Okayama University
Fang, Shihao
Graduate School of Natural Science and Technology, Okayama University
Sukaridhoto, Sritrusta
Department of Informatic and Computer, Politeknik Elektronika Negeri Surabaya
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Abstract | In this paper, we have developed the SEMAR (Smart Environmental Monitoring and Analytics in Real-Time) IoT application server platform for fast deployments of IoT application systems. It provides various integration capabilities for the collection, display, and analysis of sensor data on a single platform. Recently, Artificial Intelligence (AI) has become very popular and widely used in various applications including IoT. To support this growth, the integration of AI into SEMAR is essential to enhance its capabilities after identifying the current trends of applicable AI technologies in IoT applications. In this paper, we first provide a comprehensive review of IoT applications using AI techniques in the literature. They cover predictive analytics, image classification, object detection, text spotting, auditory perception, Natural Language Processing (NLP), and collaborative AI. Next, we identify the characteristics of each technique by considering the key parameters, such as software requirements, input/output (I/O) data types, processing methods, and computations. Third, we design the integration of AI techniques into SEMAR based on the findings. Finally, we discuss use cases of SEMAR for IoT applications with AI techniques. The implementation of the proposed design in SEMAR and its use to IoT applications will be in future works.
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Keywords | Internet of Things
AI
integration
survey
application server platform
SEMAR
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Published Date | 2024-03-09
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Publication Title |
Information
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Volume | volume15
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Issue | issue3
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Publisher | MDPI
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Start Page | 153
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ISSN | 2078-2489
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Content Type |
Journal Article
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language |
English
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OAI-PMH Set |
岡山大学
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Copyright Holders | © 2024 by the authors.
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File Version | publisher
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DOI | |
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Related Url | isVersionOf https://doi.org/10.3390/info15030153
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License | https://creativecommons.org/licenses/by/4.0/
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Citation | Panduman, Y.Y.F.; Funabiki, N.; Fajrianti, E.D.; Fang, S.; Sukaridhoto, S. A Survey of AI Techniques in IoT Applications with Use Case Investigations in the Smart Environmental Monitoring and Analytics in Real-Time IoT Platform. Information 2024, 15, 153. https://doi.org/10.3390/info15030153
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