With the application of new technologies such as the Internet of Things, cloud computing, and big data, industrial controlsystems are increasingly becoming digitalized, networked, and intelligent, which injects vital...
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Human-centered intelligentsystems (HCIS), which are at the forefront of the AI and HCI fields, are dedicated to enhancing human experiences and interactions with technology. HCIS are designed to be intuitive, respons...
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Human-centered intelligentsystems (HCIS), which are at the forefront of the AI and HCI fields, are dedicated to enhancing human experiences and interactions with technology. HCIS are designed to be intuitive, responsive, and adaptable to human needs and preferences, aiming to empower users and foster positive interactions. By utilizing AI techniques, such as machine learning, natural language processing, and computer vision, HCIS aims to make technology more accessible and beneficial across various industries and domains.
As the carrier of information assets, the importance of accounting information systems is increasing with the development of informatization. Meanwhile, information systems are facing more security threats. How to eff...
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Unmanned Aerial Vehicles (UAVs), commonly known as drones, have experienced rapid growth and widespread adoption across military and civilian applications in recent years. This paper offers a comprehensive survey of U...
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The quality of the atmospheric environment is closely related to human health and has received widespread attention in recent years. Atmospheric environment monitors are used in both production and daily life. However...
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In an era where connectivity is ubiquitous and data flows ceaselessly, Edge IoT (Internet of Things) systems have emerged as a pivotal technological paradigm poised to revolutionize the way we interact with the digita...
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ISBN:
(纸本)9783031815720;9783031815737
In an era where connectivity is ubiquitous and data flows ceaselessly, Edge IoT (Internet of Things) systems have emerged as a pivotal technological paradigm poised to revolutionize the way we interact with the digital world. As the proliferation of IoT devices continues unabated, the traditional cloud-centric model for data processing and decision-making faces significant challenges. Edge IoT systems, by shifting computational intelligence closer to the data source, offer a compelling solution to these challenges, promising greater efficiency, lower latency, and enhanced real-time decision-making capabilities. On the other hand, the convergence of edge computing, artificial intelligence (AI), and the Internet of Things (IoT) has ushered in a new era of intelligentsystems with transformative potential across various domains. This includes the development of edge computing infrastructure, AI models optimized for edge deployment, and IoT device architectures that support real-time data processing and analysis. This paper proposes a comprehensive review on Edge computing, AI, and IoT integration for intelligentsystems. We focus on the concept of Edge-AI and its potential applications in real-time processing for Internet of Things. The paper introduces Edge-IA technology, explores commonly used networking and messaging protocols in IoT, and discusses the opportunities and challenges of Edge-IA and IoT in various industries, including agriculture and healthcare.
The design of rural landscape environment encounters the issues of irrational water resource utilization and high energy consumption in terms of sustainable agriculture and ecological preservation. As a novel approach...
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With the rapid development of sensors, wireless communication, and computing technology, Internet of Things (IoT) has gained significant research interest. In particular, increasing people-oriented applications and sy...
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Optimizing renewable energy harvesting in DC microgrid systems is achieved through the application of intelligentcontrol strategies. By integrating solar photovoltaic (PV) systems, wind energy conversion systems (WEC...
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Software reliability plays a crucial role in assessing the overall quality of software systems. Developing highly reliable software presents challenges, including ensuring usability, maintaining consistent performance...
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