Innovation Potentials and Pathways Merging AI, CPS, and IoT

Klumpp, Matthias

doi:10.3390/asi1010005

Cited by 15 publications

(6 citation statements)

References 78 publications

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“…A discussion on the innovation potentials and pathways merging AI, cyber-physical systems (CPS), and IoT is provided in [18], where a technology forecast is given based on extensive descriptions and developments by field, and also based on interaction traits. According to Sudha Jamthe the junction of IoT and AI constitutes the so-called 'cognitive IoT' [19].…”

Section: F Real Time Geospatial and Location [Logistical Data] (Marinate Smooth And Under Control The Flow Of Data)mentioning

confidence: 99%

Synergy of IoT and AI in Modern Society: The Robotics and Automation Case

Tzafestas

2018

RAEJ

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The Internet of Things (IoT) is a recent revolution of the Internet which is increasingly adopted with great success in business, industry, healthcare, economic, and other sectors of modern information society. In particular, IoT supported by artificial intelligence enhances considerably the success in a large repertory of every-day applications with dominant one's enterprise, transportation, robotics, industrial, and automation systems applications. Our aim in this article is to provide a global discussion of the main issues concerning the synergy of IoT and AI, including currently running and potential applications of great value for the society. Starting with an overview of the IoT and AI fields, the article describes what is meant by the concept of 'IoT-AI synergy', illustrates the factors that drive the development of 'IoT enabled by AI', and summarizes the concepts of 'Industrial IoT' (IIoT), 'Internet of Robotic Things' (IoRT), and 'Industrial Automation IoT (IAIoT). Then, a number of case studies are outlined, and, finally, some IoT/AI-aided robotics and industrial automation applications are presented.

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Section: F Real Time Geospatial and Location [Logistical Data] (Marinate Smooth And Under Control The Flow Of Data)mentioning

confidence: 99%

Synergy of IoT and AI in Modern Society: The Robotics and Automation Case

Tzafestas

2018

RAEJ

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“…Such developed technologies benefit manufacturers with legacy infrastructure, small matters by providing a reference system to apply Industry 4.0 approaches in the food industry [18][19][20][21]. The authors conducted a study titled "Innovation Potentials and Pathways Merging AI, CPS, and IoT" and indicate that the human factor and its artificial collaboration dimensions and human perspective will be critical in AI technology application in logistics [22]. Machine learning found its application in the agriculture supply chain, divided into various phases: pre-production, production, processing, and distribution [18].…”

Section: Introductionmentioning

confidence: 99%

Sustainable Innovations in the Food Industry through Artificial Intelligence and Big Data Analytics

et al. 2021

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The agri-food sector is an endless source of expansion for nourishing a vast population, but there is a considerable need to develop high-standard procedures through intelligent and innovative technologies, such as artificial intelligence (AI) and big data. This paper addresses the research concerning AI and big data analytics in the food industry, including machine learning, artificial neural networks (ANNs), and various algorithms. Logistics, supply chain, marketing, and production patterns are covered along with food sub-sector applications for artificial intelligence techniques. It is found that utilization of AI techniques and the intelligent optimization algorithm also leads to significant process and production management. Thus, digital technologies are a boon for the food industry, where AI and big data have enabled us to achieve optimum results in realtime.

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“…This evolution promotes a digital transformation of the society by providing the citizens and professionals with advanced applications for sensing and analyzing data on the ground. Due to the recent successes and the anticipated breakthroughs in different fields, it has now become one of the most promising research areas [ 6 ]. Indeed, this fact is largely accelerated by new smartphones and communication capabilities.…”

Section: Introductionmentioning

confidence: 99%

Collaborative Working Architecture for IoT-Based Applications

Mora

Pont

Gil

et al. 2018

Sensors

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The new sensing applications need enhanced computing capabilities to handle the requirements of complex and huge data processing. The Internet of Things (IoT) concept brings processing and communication features to devices. In addition, the Cloud Computing paradigm provides resources and infrastructures for performing the computations and outsourcing the work from the IoT devices. This scenario opens new opportunities for designing advanced IoT-based applications, however, there is still much research to be done to properly gear all the systems for working together. This work proposes a collaborative model and an architecture to take advantage of the available computing resources. The resulting architecture involves a novel network design with different levels which combines sensing and processing capabilities based on the Mobile Cloud Computing (MCC) paradigm. An experiment is included to demonstrate that this approach can be used in diverse real applications. The results show the flexibility of the architecture to perform complex computational tasks of advanced applications.

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Innovation Potentials and Pathways Merging AI, CPS, and IoT

Cited by 15 publications

References 78 publications

Synergy of IoT and AI in Modern Society: The Robotics and Automation Case

Synergy of IoT and AI in Modern Society: The Robotics and Automation Case

Sustainable Innovations in the Food Industry through Artificial Intelligence and Big Data Analytics

Collaborative Working Architecture for IoT-Based Applications

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