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检索条件"任意字段=6th IEEE International Conference on Distributed Computing in Sensor Systems"

共 6281 条记录，以下是131-140 订阅

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distributed Agent-Based Collaborative Learning in Cross-Individual Wearable sensor-Based Human Activity Recognition 17

Distributed Agent-Based Collaborative Learning in Cross-Indi...

引用

7th ieee international conference on Robotic computing (IRC)

作者： Esmaeili, Ahmad Ghorrati, Zahra Matson, Eric T. Purdue Univ Comp & Informat Technol W Lafayette IN 47907 USA

ISBN: (纸本)9798350395747

the rapid growth of wearable sensor technologies holds substantial promise for the field of personalized and context-aware Human Activity Recognition. Given the inherently decentralized nature of data sources within this domain, the utilization of multi-agent systems with their inherent decentralization capabilities presents an opportunity to facilitate the development of scalable, adaptable, and privacy-conscious methodologies. this paper introduces a collaborative distributed learning approach rooted in multi-agent principles, wherein individual users of sensor-equipped devices function as agents within a distributed network, collectively contributing to the comprehensive process of learning and classifying human activities. In this proposed methodology, not only is the privacy of activity monitoring data upheld for each individual, eliminating the need for an external server to oversee the learning process, but the system also exhibits the potential to surmount the limitations of conventional centralized models and adapt to the unique attributes of each user. the proposed approach has been empirically tested on two publicly accessible human activity recognition datasets, specifically PAMAP2 and HARth, across varying settings. the provided empirical results conclusively highlight the efficacy of inter-individual collaborative learning when contrasted with centralized configurations, both in terms of local and global generalization.

关键词： Human Activity Recognition Collaborative Learning Multi-agent systems Wearable sensors

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A Target Assignment Fusion Algorithm for distributed Multi-Target Tracking 6

A Target Assignment Fusion Algorithm for Distributed Multi-T...

引用

6th international conference on Electronic Engineering and Informatics, EEI 2024

作者： Xiong, Chao Lu, Huanzhang Hu, Moufa Zhao, Fei National University of Defense Technology National Key Laboratory of Science and Technology on Atr Hunan Changsha410073 China

ISBN: (纸本)9798350353594

this paper researches a challenging problem of distributed multi-target tracking in a network of sensors having different fields of view. To solve this, we propose a novel target assignment fusion algorithm consisting of local probability hypothesis density filtering and a target assignment fusion process. To fuse target information within different limited fields of view, we first introduce the concept of fusion possibility and calculate it in the manner of a similar weighted geometric average method. After that, this paper constructs an assignment cost matrix through a judgment strategy based on fusion possibility. Essentially, the target assignment algorithm is ably executed to allocate targets between two sensors with limited fields of view, which benefits from the correct-designed cost matrix. Finally, we combine the sequential fusion strategy to achieve a fusion process across the sensor network. Simulation experiments with a challenging scene verify the effectiveness and superiority of the proposed algorithm. In addition, the proposed algorithm only utilizes local filters' single-scan posterior intensities without a feedback mechanism, ensuring the timelessness to some extent. © 2024 ieee.

关键词： Target tracking

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Intelligent Distribution System of Social Security Subsidy based on Intelligent distributed Model 6

Intelligent Distribution System of Social Security Subsidy b...

引用

6th international conference on Inventive Computation Technologies, ICICT 2023

作者： Ye, Jingkun College of Finance and Public Administration Harbin University of Commerce Harbin150000 China

ISBN: (纸本)9798350398496

the realization of the information management of social insurance files is an inevitable requirement of the current social management. then, the intelligent distribution system of social security subsidy based on intelligent distributed model is studied. In this study, for the better implementation of the system, distributed information systems and high-density information will be integrated and analyzed. the novel data collection, processing and storage pipelines are designed and through the test, the performance is verified. © 2023 ieee.

关键词： Intelligent systems

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Duplicate Node Detection Method for Wireless sensors 6

Duplicate Node Detection Method for Wireless Sensors

引用

6th international conference on Computational Intelligence and Communication Technologies, CCICT 2024

作者： Kumar, Rinku Das, Rinco Garg, Puneet Pandita, Nitin Computer Science and Engineering SAITM Delhi NCR Gurgaon India

ISBN: (纸本)9798350374629

Wireless sensor Networks (WSNs) are altering the world through their sensing technology. With several applications in ITS, military operations, surveillance systems, and other fields, WSNs have grown to be a powerful technology. A range of sensor nodes that gather environmental data and monitor the external environment make up wireless sensor networks (WSNs). Reducing the energy consumption of sensor networks to make the operation time longer is the main goal of many researches. the main issue with energy conservation has been the depletion of the batteries powering the sensor nodes. Furthermore, because of their security features, WSNs are utilized in vital areas, such as military battlefields. this study introduces the WSN in several situations, including data collection, applications, routing, security issues, and a quick rundown of a modeling platform that may be used to WSNs. this essay contributes by outlining WSNs' significance and introducing them in a variety of operational contexts. ©2024 ieee.

关键词： sensor nodes

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Efficient Transmission and Secure Sharing of Sensing data under distributed ISAC Conditions 19

Efficient Transmission and Secure Sharing of Sensing data un...

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19th ieee international Wireless Communications and Mobile computing (ieee IWCMC)

作者： Mu, Junsheng Jing, Zexuan Cui, Yuanhao Jing, Xiaojun Zhou, Quan Ouyang, Wenjiang Beijing Univ Posts & Telecommun Sch Informat & Commun Engn Beijing Peoples R China

ISBN: (纸本)9798350333398

To solve the problems of limited computing resources and data privacy in the IoE scenario of 6G networks, this paper propose an efficient transmission and secure sharing architecture of sensing data based on federated learning. the architecture considers an integrated sensing and communication (ISAC) approach, employs knowledge distillation techniques to compress and accelerate data processing models, and implements data communication technology based on airborne computing aggregation to reduce data transmission delays and improve the efficiency of data communication and computation among nodes. To address the challenge of data sharing for large-scale heterogeneous network nodes in the integrated scenario, this paper adopts a sample expansion technology of distributed remote sensing data based on WGAN-GP to address the issue of insufficient data, and considers blockchain encryption technology to protect data privacy, thus promoting progress in data privacy sharing under distributed ISAC conditions and facilitating the construction of the 6G communication network.

关键词： Integrated sensing and communication WGANGP blockchain

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distributed Finite-Time Consensus Control of Multi-Agent systems with Communication Topology Switching 6

Distributed Finite-Time Consensus Control of Multi-Agent Sys...

引用

6th international conference on Industrial Artificial Intelligence, IAI 2024

作者： Guoliang, Wang Yaqiang, Lyu School of Information and Control Engineering Liaoning Petrochemical University Fushun China

ISBN: (纸本)9798350356618

In this paper, in the context of distributed control of heterogeneous battery energy storage systems in a droop control microgrid, based on the consensus theory of multi-agent systems, this paper proposes a distributed finite-time control strategy. Each agent in this strategy only needs to obtain its own information and neighbor information through a sparse communication network, and the topology of the communication network between the agents is time-varying, and its switching process satisfies the Markov process, which enables the multi-intelligent agent system to reach an average consensus in finite time under the condition of the limitation of the number of controllers. the theoretical analysis clearly reveals the consistency and convergence of the proposed control strategy. In addition, the proposed control strategy improves the synchronization performance over the traditional one. the effectiveness and superiority of the proposed strategy is also verified through simulation. © 2024 ieee.

关键词： Battery storage

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Trade off between Accuracy and Message Complexity for Approximate Data Aggregation 18

Trade off between Accuracy and Message Complexity for Approx...

引用

18th Annual international conference on distributed computing in sensor systems (DCOSS)

作者： Nugroho, Saptadi Weinmann, Alexander Schindelhauer, Christian Albert Ludwigs Univ Freiburg Freiburg Germany

ISBN: (纸本)9781665495127

We consider large scale Peer-to-Peer sensor Networks, which try to calculate and distribute the mean value of all sensor inputs. For this we design, simulate and evaluate distributed approximation algorithms which reduce the number of messages. the main difference of these algorithms is the underlying communication protocol which all use the random call model, where in discrete round model each node can call a random sensor node with uniform probability. the amount of data exchanged between sensor nodes and used in the calculation process affects the accuracy of the aggregation results leading to a trade-off situation. the key idea of our algorithms is to limit the sample size using the Finite Population Correction (FPC) method and collect the data using a distribution aggregation using Push-Pull Sampling, Pull Sampling, and Push Sampling communication protocols. It turns out that all methods show exponential improvement of Mean Squared Error (MSE) with the number of messages and rounds.

关键词： data aggregation sensor network message complexity approximation random call model

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Research on Dynamic Reactive Power Compensation System of distributed Photovoltaic Inverter under Complex Working Conditions 6

Research on Dynamic Reactive Power Compensation System of Di...

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6th ieee international conference on Civil Aviation Safety and Information Technology, ICCASIT 2024

作者： Zhang, Yang Dingxi Power Supply Company State Grid Gansu Electric Power Company Lanzhou China

ISBN: (纸本)9798350389418

A dynamic reactive power compensation system based on fuzzy adaptive PI control is proposed to improve the performance of distributed photovoltaic inverters in complex power grid environments. Firstly, the working principle of distributed PV grid-connected inverter and its function in reactive power regulation are analyzed. then, a new fuzzy adaptive PI control algorithm is designed, which can adjust the control parameters according to the real-time state of the power grid to realize more efficient reactive power compensation. A set of dynamic reactive power compensation system is designed, which can adjust the control parameters adaptively according to the real-time state of the power grid and realize efficient reactive power compensation. the system can maintain a good reactive power compensation effect in a wider range of power grid voltage fluctuations, and significantly improve the stability and reliability of the distributed photovoltaic system. this study provides a new solution for reactive power compensation of distributed photovoltaic inverters under complex working conditions, and has important reference value for further research in related fields. © 2024 ieee.

关键词： Proportional control systems

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Multi-sensor Data Fusion and Artificial Intelligence Feature Analysis 6

Multi-Sensor Data Fusion and Artificial Intelligence Feature...

引用

2023 ieee 6th international conference on Information systems and Computer Aided Education, ICISCAE 2023

作者： Xu, Xiaoqing Liang, Xiaowei Eurasia University School of Information Engineering Shaanxi Xi'an China Innochip Technology Simulation Department Shaanxi Xi'an China

ISBN: (纸本)9798350313444

In this paper, the basic concept, working principle, characteristics and structure, data fusion method and application range of multi-sensor information fusion are described in detail. In this paper, a new multi-sensor information fusion method is established and verified by experiments. Meanwhile, a multi-source data fusion algorithm based on single D-S evidence is proposed. the upper computer software (GUI) developed in Python allows these sensors to work together. the sensor can also store data based on time stamps. the superiority of this algorithm is proved by computer simulation. © 2023 ieee.

关键词： artificial intelligence characteristic analysis data fusion fault diagnosis system sensor

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Analysis of Pandemic Atmosphere Pollution Data Using Virtual sensors in Sao Paulo City 18

Analysis of Pandemic Atmosphere Pollution Data Using Virtual...

引用

18th Annual international conference on distributed computing in sensor systems (DCOSS)

作者： Campos, Gabriel Oliveira Villas, Leandro Aparecido da Cunha, Felipe Domingos Univ Campinas UNICAMP Inst Comp Campinas SP Brazil Pontificial Catholic Univ Minas Gerais PUC MG Dept Comp Sci Belo Horizonte MG Brazil

ISBN: (纸本)9781665495127

Virtual sensing models have been used to generate synthetic data and provide complementary information. However, with the increase in cases related to COVID-19 and the lockdown, a problematic factor is that virtual sensing models may produce different results than they should since the environment has become better with the decrease in traffic conditions and industrial production. therefore, this article will evaluate virtual sensing models for the city of Sao Paulo, using pre-pandemic and pandemic data in a lockdown scenario. As a result, we analyzed that even with these behavioral changes in the city, the pre-pandemic model produced similar results to the lockdown period model.

关键词： Virtual sensor Urban computing Internet of things Air Pollution Machine Learning Deep Learning COVID-19

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