Indoor positioning is an important element in context-aware applications, especially based on the internet of things (IoT). Elderly people or people with specific needs can benefit from such applications by providing ...
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ISBN:
(纸本)9798350397499
Indoor positioning is an important element in context-aware applications, especially based on the internet of things (IoT). Elderly people or people with specific needs can benefit from such applications by providing them with an ambient assisted living (AAL). Indoor positioning system (IPS) applications can be deployed under an IoT infrastructure to provide location awareness to other applications, such as AAL solutions. However, software patterns and architectures in the context of IoT applications are still open research topics. This paper proposes a software architecture for IoT-based IPS applications to support AAL systems. We performed a systematic literature review (SLR) to identify solutions and non-functional requirements (NERs) to incorporate into the architecture of these applications. From the SLR results, we developed an architecture for IoT-based IPS applications, using Fog computing elements, to support AAL systems. We evaluate the architecture using the iFogSim simulation environment regarding latency, network usage, and energy consumption. The proposed approach was compared to a cloud-based deployment. Experimental results show that the proposed fog-based architecture significantly reduces latency, network usage, and operational costs and is suitable for real-time response scenarios. In addition, the energy consumption of cloud data centers is reduced by employing fog computing.
As the automotive industry transitions towards Software-Defined Vehicles (SDVs) with centralized computing architectures, managing functional safety becomes increasingly complex. This paper examines how AI-driven deci...
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Road surface classification is very critical in the domain of intelligent driving systems as it ensures enhanced safety and comfort in autonomous vehicles. In this paper, a transfer learning approach is proposed for e...
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Waste is causing a serious environmental problem. Waste management and circular economy offers a best alternative for preserving the environment and protecting nature resources. This paper presents an AI-based system ...
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The advent of artificial intelligence (AI) has driven an emergence in applications demanding online responses to immense amounts of data. Typically, the cloud-based deployment of these applications requires resource m...
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The integration of artificial intelligence (AI) and edge computing in healthcare is transforming patient monitoring systems, particularly within smart hospitals. These technologies enable real-time data processing, en...
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The time complexity of the Counting Sort algorithm is linear and is famous for sorting non-negative integers (0-positive). It runs well for a possible small difference between the smallest and largest number in the in...
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The rapid growth of embeddedsystems has led to the integration of artificial intelligence capabilities at the edge of computer devices. The Beagle-Bone AI and AI64 platform is a potent development board intended to m...
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Robot swarms are increasingly being applied in various domains. However, due to the inherent limitation imposed by low real-time communication bandwidth, the synchronization of environmental information among multiple...
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ISBN:
(纸本)9798350377712;9798350377705
Robot swarms are increasingly being applied in various domains. However, due to the inherent limitation imposed by low real-time communication bandwidth, the synchronization of environmental information among multiple robots remains a persistent and challenging problem in practical applications. In response to this challenge, we introduce a comprehensive framework for synchronizing occupancy grid maps (OGMs) in practical multi-robot systems that operate under communication bandwidth constraints. In our research, we elaborately design the data structure of transmitted local OGMs and employ the Hilbert space-filling curve for voxel sorting. By adopting this approach, data redundancy is effectively increased, resulting in lower information entropy for compression and significantly reducing the volume of communication data. Finally, our framework outperforms the benchmark method by reducing the average and maximum bandwidth usage by more than 10 times in high-resolution scenarios. Moreover, our method has been successfully applied in the multi-UAV autonomous navigation application, demonstrating its real-time and bandwidth-efficient nature, as well as its practical value.
This paper presents a digital twin framework as a first step towards developing digital twin-based control systems for autonomous lifting and load-handling operations. The proposed digital twin framework has been divi...
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ISBN:
(纸本)9798350315684
This paper presents a digital twin framework as a first step towards developing digital twin-based control systems for autonomous lifting and load-handling operations. The proposed digital twin framework has been divided into three main parts: a) a real-time control and simulation environment using TwinCAT 3 running on a Beckhoff embedded PC with EtherCAT Fieldbus, b) a ROS 2 interface (middleware), and c) a virtual environment using the state-of-the-art game engine software NVIDIA Isaac Sim. The investigated case study demonstrates that the proposed architecture offers scalability and forms a promising baseline for further developing a general-purpose digital twin development platform suitable for developing autonomous control systems for various mechatronics systems and applications.
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