Results 61 to 70 of about 4,797 (186)
The Analyzes of PDOP Factors for a Zigbee Ground – Based Augmentation Systems
Polish Maritime Research, 2017 This paper presents the analysis of PDOP factors for a ZigBee ground - based augmentation systems. It presents the idea of such a system followed by the results of assessment of application in Gdansk Marina.
Janowski Artur, Rapinski Jacek
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Boundary effects optimization of ZigBee wireless location based on BP neural network
Gong-kuang zidonghua, 2014 By analyzing distribution law of localization error in underground wireless network localization area based on ZigBee technology, namely localization nodes will offset from outside to the inside of the network at the boundary, so the localization error ...
WEI Wenhui, GUO Ye
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Access Control in Healthcare IoT: A Comprehensive Survey
Engineering Reports, Volume 8, Issue 4, April 2026.This survey analyses access control mechanisms in Healthcare IoT, reviewing traditional and emerging models, identifying security and privacy challenges, and highlighting open research issues. It provides a comparative perspective to support the design of secure, scalable, and patient‐centric healthcare IoT systems.
Aleena Nazir +3 more
wiley +1 more source
Research on the network of rotating rate of spinning frame
The Journal of Engineering, 2019 For the operation of the spinning frame in the spinning mill, Hall sensors are used to test the running rate of each axis of the spinning frame. In order to centrally monitor the operation of the spinning frame, analyse the production site environment ...
Xiaohui Chen +2 more
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Food Science &Nutrition, Volume 14, Issue 4, April 2026.This review addresses a critical gap in Chinese Baijiu aging research: the neglect of physical properties in cellar storage environments. Current studies emphasize microorganisms, CO2, and base liquor interactions, yet lack systematic consideration of environmental dynamics.
Jin Li +4 more
wiley +1 more source
Research on energy-saving power system of office building lighting based on Internet of Things
The Journal of Engineering, 2019 In order to solve the problem of lighting waste in developing countries and backward areas, an application of Internet of Things technology, combined with edge computing, is proposed to achieve intelligent lighting system for office buildings. The system
Yangping Zheng, Jia Qu, Hongtao Yu
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An Ecosystem to Develop Multi‐Agent Systems in Real‐World IoT Applications
Software: Practice and Experience, Volume 56, Issue 4, Page 339-356, April 2026.ABSTRACT Software agents and multi‐agent systems are critical components in the development of distributed autonomous systems, as they exhibit a wide range of “intelligence,” from reactive behaviors to advanced reasoning and planning. Integrating these capabilities into multi‐agent systems enables distributed artificial intelligence, a programming ...
Davide Carnemolla +3 more
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Reliable broadcast in ZigBee networks [PDF]
2005 Second Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, 2005. IEEE SECON 2005., 2005 ZigBee is a new industrial standard for ad hoc networks based on IEEE 802.15.4. It is used for low data rate wireless networks and sensor networks. The data broadcast algorithms for ZigBee networks have been recently studied in (21), where the major task is to reduce the number of rebroadcast nodes.
Gang Ding +4 more
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CAAI Transactions on Intelligence Technology, Volume 11, Issue 2, Page 447-463, April 2026.ABSTRACT Intelligent and adaptive defence systems that can quickly thwart changing cyberthreats are becoming more and more necessary in the dynamic and data‐intensive Internet of things (IoT) environment. Using the NSL‐KDD benchmark dataset, this paper presents an improved anomaly detection system that combines an optimised sequential neural network ...
Seong‐O Shim +4 more
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An Overview of Deep Learning Techniques for Big Data IoT Applications
International Journal of Communication Systems, Volume 39, Issue 4, 10 March 2026.Reviews deep learning integration with cloud, fog, and edge computing in IoT architectures. Examines model suitability across IoT applications, key challenges, and emerging trends Provides a comparative analysis to guide future deep learning research in IoT environments.
Gagandeep Kaur +2 more
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