Influence of Integration Schemes and Maneuvers on the Initial Alignment and Calibration of AUVs: Observability and Degree of Observability Analyses

Article Computer Science, Hardware & Architecture

Green IoT for Eco-Friendly and Sustainable Smart Cities: Future Directions and Opportunities

Faris A. Almalki et al.

Summary: The development of IoT and smart cities has brought changes and challenges. Green IoT can address environmental issues and make smart cities more sustainable and eco-friendly.

MOBILE NETWORKS & APPLICATIONS (2023)

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Article Multidisciplinary Sciences

Adaptive transfer alignment method based on the observability analysis for airborne pod strapdown inertial navigation system

Weina Chen et al.

Summary: This paper proposes an adaptive transfer alignment method based on observability analysis to improve the navigation accuracy of airborne pods. By analyzing the observability of each state variable in the electronic system and using a transfer alignment filter algorithm with adaptive adjustment factor, the influence of weakly observable state variables on the entire filter is reduced, thus improving the estimation accuracy of transfer alignment.

SCIENTIFIC REPORTS (2022)

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Review Computer Science, Information Systems

Green internet of things using UAVs in B5G networks: A review of applications and strategies

S. H. Alsamhi et al.

Summary: Recent advances in Unmanned Aerial Vehicles (UAVs) have shown great potential in enhancing quality of life, smartness of cities, and overall economic efficiency. IoT requires efficient collaboration between devices, but many consume significant energy during data transmission. UAV technology plays a crucial role in achieving sustainable and reliable Industry 4.0 by transmitting data and improving collaboration efficiency between devices.

AD HOC NETWORKS (2021)

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Article Engineering, Electrical & Electronic

An Approach for DVL-Aided SINS In-Motion Alignment Based on Observability Analysis

Peijia Liu et al.

Summary: This paper proposes a DVL-aided SINS in-motion alignment approach based on observability, utilizing an improved observability analysis method to enhance alignment accuracy. The study explores methods such as trajectory design and observability incentives to further improve alignment accuracy.

IEEE SENSORS JOURNAL (2021)

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Article Computer Science, Artificial Intelligence