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2024 International Conference on Computational Intelligence and Communication System, CCICS 2024

作者： Li, Yue Huang, Boyang Xiao, Xiaobing Liu, Anjiang Jin, Xing Electric Power Research Institute Guizhou Power Grid Guizhou Province Guiyang China

Incorporating renewable energy solutions into the power grid is essential for facilitating a shift in energy sources. Ensuring the effectiveness and dependability of communication technologies within smart distribution grids is vital, as these grids serve as the link between end users and the central station, thereby contributing to the grid's stable functioning and the effective dissemination of energy. This study introduces a framework for communication that tackles the challenges associated with the integration of multi-source, heterogeneous data in smart distribution grids. The framework leverages multi-source heterogeneous data fusion and capitalizes on edge computing to efficiently process and consolidate data from diverse sensors and devices. An optimal weight allocation algorithm is proposed to mitigate data redundancy and to improve the energy efficiency of communication. The paper demonstrates, through theoretical examination and empirical tests, the proposed system's enhanced communication capabilities, especially in terms of data transmission effectiveness and energy usage optimization. The discussion highlights the advantages of smart distribution networks over conventional communication methods and offers insights for further advancements in communication technologies within this sector. © Published under licence by IOP Publishing Ltd.

关键词： Communication technology data fusion algorithms Edge computing Multi-source heterogeneous data fusion Smart distribution grid

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Smart Service Methods and Systems Based on Innovation and Entrepreneurship Platforms

Smart Service Methods and Systems Based on Innovation and En...

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2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems, ICITEICS 2024

作者： Junhua, Rao Shandong Institute of Commerce and Technology Shandong Jinan China

ISBN: (纸本)9798350382693

In today's rapid development of high technology, the use of scientific and technological means to make the development of innovation and entrepreneurship platform better has made a trend, in order to more adapt to the current development, create a smart innovation and entrepreneurship platform, so that the efficiency of the innovation and entrepreneurship platform is improved, and the innovation and entrepreneurship platform follows. In the innovation and entrepreneurship platform, it is very important to collect, analyze and process the information of the living organisms in the innovation and entrepreneurship platform, so as to achieve the efficient realization of the innovation and entrepreneurship platform. Iterative algorithms cannot accurately collect and analyze information problems in innovation and entrepreneurship platforms. Therefore, this paper proposes a data fusion algorithm for intelligent service methods and system analysis. First, computer technology is used to collect Internet information, and indicators is divided according to smart service methods and system requirements to reduce interference factors in smart service methods and systems. Then, computer technology forms the smart service method and system scheme of the innovation and entrepreneurship platform smart service method and system results, and comprehensively analyzes the smart service method and system results. MATLAB simulation shows that under certain evaluation criteria, the data fusion algorithm is better than the iterative algorithm for the intelligent service method and system accuracy, smart service method and system reliability of the innovation and entrepreneurship platform. © 2024 IEEE.

关键词： computer technology data fusion algorithms Innovation and entrepreneurship platform Smart service methods and systems

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Design of dynamic load balancing algorithm for heterogeneous clusters based on energy consumption

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ENERGY REPORTS 2021年 7卷 684-695页

作者： Ye, Lunqiang Southwest Minzu Univ Informat & Educ Technol Ctr Chengdu 610225 Sichuan Peoples R China

In order to reduce energy waste and improve the dynamic load balancing of heterogeneous clusters, sensor technology is introduced into the Internet of Things technology to build a channel transmission model for heterogeneous clusters. Then use the dynamic weighting method to configure the output channel to complete the decomposition of the channel characteristics. In addition, based on the establishment of the channel fuzzy recombination structure model, the noise interference suppression method is used to suppress the multipath interference of heterogeneous cluster communication channels, and the equalization of the channel output is controlled by the baud interval equalization sampling method. At the same time, through the fuzzy balance configuration and spatial balance scheduling process, the dynamic load balancing processing of heterogeneous clusters is realized. The simulation results show that the method proposed in this paper has better balance for the load scheduling of heterogeneous clusters and reduces the bit error rate of the output signal. More importantly, the output balance and adaptive control capabilities of heterogeneous clusters have also been improved. (C) 2021 Published by Elsevier Ltd.

关键词： Internet of Things Heterogeneous clusters Node sensors Dynamic load Balancing algorithms data fusion algorithms

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Experimental Comparison of Orientation Estimation algorithms in Motion Tracking for Rehabilitation

Experimental Comparison of Orientation Estimation Algorithms...

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9th IEEE International Symposium on Medical Measurements and Applications (IEEE MeMeA)

作者： Daponte, Pasquale De Vito, Luca Riccio, Maria Sementa, Carmine Univ Sannio Dept Engn Benevento Italy

ISBN: (纸本)9781479929214

This paper presents the experimental comparison of data fusion algorithms for human motion tracking in rehabilitation, using Inertial Measurement Units. Three algorithms for orientation estimation, taken from the scientific literature in the field, have been selected and their capability of accurately tracking the angle of a selected joint has been evaluated. In particular, two phases of experimental analysis have been carried out. The former, in laboratory, was directed to verify the capability of the algorithms of tracking a fixed angle range. In the latter, carried out in a rehabilitation center, the results obtained by the considered algorithms have been compared with those provided by a vision-based motion tracking system.

关键词： biomechanics biomedical measurement inertial systems medical signal processing object tracking patient rehabilitation sensor fusion Inertial Measurement Units data fusion algorithms experimental analysis experimental comparison fixed angle range human motion tracking orientation estimation algorithms rehabilitation center vision-based motion tracking system Algorithm design and analysis Estimation Kalman filters Magnetometers Quaternions Sensors Vectors Algorithm design and analysis inertial systems Rehabilitation Centers biomedical measurement Telerehabilitation magnetometers medical signal processing Quaternion Kalman filters Sensor fusion Biomechanics data fusion Rehabilitation Sensors Human motion

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Ion Sensors - The Need of Behavioral Modeling for WARMER Project

Ion Sensors - The Need of Behavioral Modeling for WARMER Pro...

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Conference on Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2008

作者： Ogrodzki, Jan Warsaw Univ Technol Inst Elect Syst PL-00665 Warsaw Poland

ISBN: (纸本)9780819473585

Several theoretical considerations are known dedicated to mathematical modeling of physical phenomena in ion-selective membranes. They yield full theory of ions complexation in ionophoric membranes. However all these works give results which are not sufficiently simple and do not explain sufficiently accurate a behavior of the sensors. To provide simultaneously accurate and simple model of the ion sensor we must turn to behavioral description instead of the physical one. In this paper several behavioral approaches to modeling of potentiometric sensors are presented. These models are dedicated to WARMER project This project is focused on development of automatic testers for environmental water monitoring. The testers consist of a sensor header, A/D conversion and data processor executing a data fusion program. This program realizes a data fusion algorithm based on a calibration-measurement method or a data-fusion method. All these methods make use of the sensor model. The project accepts only models sufficiently accurate and having sufficiently small number of parameters. Among different models an optimal trade-off has been performed.

关键词： water monitoring potentiometric sensors behavioral modeling data fusion algorithms

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