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A Decentralized Access control Method for Power Grid Data Sharing 4

A Decentralized Access Control Method for Power Grid Data Sh...

引用

4th Asia-Pacific conference on Communications technology and Computer Science, ACCTCS 2024

作者： Wang, Xinyan Liu, Boyu Wencui, L. Song, Ningxi Zhou, Zheng Henan Zhengzhou China Zhengzhou University Henan Zhengzhou China

ISBN: (纸本)9798350359985

With the ongoing advancement of the Internet of Things (IoT) and the daily accumulation of substantial data within systems, the implementation of access control emerges as a critical mechanism to safeguard data privacy and facilitate secure sharing. Traditional access control in storage systems is centralized, posing threats to user information security and data privacy. As blockchain is an emerging technology widely applied in the field of data privacy protection, this paper introduces a blockchain access control framework based on Decentralized Identifiers (DIDs). The paper combines blockchain technology with an identity access control solution based on distributed identity recognition applications. Additionally, it elaborately designs the interaction mechanism between DIDs and smart contracts. Finally, in our experiments, we construct a blockchain system based on the FISCO-BCOS project and assess throughput and access control efficiency. The results demonstrate the availability and effectiveness of this model. © 2024 ieee.

关键词： Smart contract

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control of propellant slosh dynamics in observation spacecraft using Model Free control and pressure sensors

Control of propellant slosh dynamics in observation spacecra...

引用

ieee conference on control technology and applications (CCTA)

作者： Zhao, Chengwei Fogel, Mike Burlion, Laurent Rutgers State Univ Dept Mech & Aerosp Engn Piscataway NJ 08854 USA

ISBN: (数字)9781665473385

ISBN: (纸本)9781665473385

The mitigation of fuel propellant sloshing on-board satellites or during space launches is of particular interest. Fuel sloshing can indeed significantly affect spacecraft motion by increasing the maneuver settling time and occasionally destabilizing them. This paper presents a novel, model-free attitude control approach that actively compensates for the sloshing disturbance. One of the main novelties consists of using pressure sensors inside the fuel tank to measure a quantity proportional to the sloshing torque. Then, using this measurement, an attitude controller can be designed not only to reject the sloshing torque but also to keep the fuel sloshing within acceptable conditions. Technically speaking, this is achieved by combining model-free control with an output to input saturation transformation (OIST) add-on.

关键词： Pressure sensors Space vehicles Torque Satellites Limiting Propulsion Pressure measurement

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Design of Robust PID controllers for SOFC Stacks

Design of Robust PID Controllers for SOFC Stacks

引用

ieee conference on control technology and applications (CCTA)

作者： Frenkel, Wiebke Kersten, Julia Husmann, Ricus Aschemann, Harald Univ Rostock Chair Mech D-18059 Rostock Germany

ISBN: (数字)9781665473385

ISBN: (纸本)9781665473385

PID controllers represent the most frequently used feedback structure, especially in industrial applications. With an appropriate design of the individual controller parameters, they guarantee both stability and a good transient behavior, and they offer a clearly interpretable structure. Problems may arise in safety-critical applications, especially if the real system is subject to model uncertainty. In this paper, a model-based PID controller is considered for the power control of a solid oxide fuel cell, where safety aspects are highly relevant. Two alternative design models, a linear model and a nonlinear Hammerstein model, are used for the control design. For both models, a PID controller parametrization is determined that meets robust performance specifications using a multiplicative output uncertainty description. Simulation results point out the benefits of the nonlinear structure based on the Hammerstein model.

关键词： Solid modeling Uncertainty control design Simulation Power control Fuel cells Solids

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Semantic Segmentation Method for Remote Sensing Urban Scenes Based on Swin-Transformer and Convolutional Neural Network 7

Semantic Segmentation Method for Remote Sensing Urban Scenes...

引用

7th ieee Information technology, Networking, Electronic and Automation control conference, ITNEC 2024

作者： Fan, Youwen College of Communication Engineering Chengdu University of Information Technology Sichuan China

ISBN: (纸本)9798350370782

The task of semantic segmentation of urban scenes in remote sensing has extensive applications in land cover mapping, urban change detection, and environmental protection. However, due to the significant intra-class heterogeneity, inter-class similarity, and the presence of small-scale objects in remote sensing urban scenes, convolutional neural networks (CNNs) often struggle to fully utilize contextual information, resulting in low segmentation accuracy, incomplete segmentation, and misclassification of similar classes. To address these issues, we propose the Swin-MDFF for semantic segmentation of remote sensing urban scenes. This method employs an encoder-decoder structure that combines Swin-Transformer and CNNs. The Swin-Transformer serves as the encoder to extract multi-scale semantic features and contextual information, while the Multi-Scale Dilated Feature Fusion (MDFF) CNNs as the decoder to aggregate multi-scale semantic features, effectively considering both local and global contextual information. This method has been tested on the Vaihingen and Potsdam datasets, outperforming mainstream networks with mean Intersection over Union (mIoU) of 84.32% and 87.82%, and mean F1-score (mF1) of 91.35% and 93.40%, respectively. The experimental results demonstrate the effectiveness of this method in the semantic segmentation of remote sensing urban scenes. © 2024 ieee.

关键词： Semantic Segmentation

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Integral sliding mode control of singularly perturbed systems

Integral sliding mode control of singularly perturbed system...

引用

ieee conference on control technology and applications (CCTA)

作者： Banza, Arnold Tshimanga Univ Melbourne Sch Elect Mech & Infrastruct Engn EMI Melbourne Vic 3010 Australia

ISBN: (数字)9781665473385

ISBN: (纸本)9781665473385

This paper presents an integral sliding mode controller (ISMC) that can handle matched and unmatched uncertainties present in singularly perturbed nonlinear systems. Fast sensor dynamics in series with the plant are explored as study case. By incorporating the knowledge of the given sensor dynamics into the SMC design and appropriate parameters tuning of the proposed controller, the main result shows that the closed loop system can converge to a small neighborhood of the origin. More precisely, by selecting a sliding surface with a convergence time constant even smaller than the time constant governing the sensor dynamics, the closed loop system is shown to be semi-globally practically input-to-state stable. Simulation results on Maglev model are presented to show the effectiveness of the proposed approach.

关键词： Sliding mode control Second order sliding mode control Singular perturbation technique Integral sliding mode control

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Application and Outlook of Artificial Intelligence Large Models in New Power System Operation control 3

Application and Outlook of Artificial Intelligence Large Mod...

引用

3rd International conference on Energy and Electrical Power Systems (ICEEPS)

作者： Liu, Han Hu, Wei Yu, Liwen Wang, Kang Guo, Chunlan Hunan Elect Power Co Ltd State Grid Informat & Commun Co Changsha Hunan Peoples R China Beijing State Grid Xintong Accenture Informat Tec Beijing Peoples R China

ISBN: (纸本)9798350375145;9798350375138

Under the background of dual carbon goals and energy Internet construction, new energy is booming, which also brings high uncertainty to the operation dispatching and optimal control of the new power system. This paper mainly reviews the artificial intelligence large model technology and its future applications in power system operation and regulation. Firstly, the demand for AI in the new power system and the current application status of AI large model technology in the power field were summarized. Then, multimodal large model technology was introduced, and the technical path of AI large model adaptation in vertical industries was explored. Finally, the application of AI large models in the operation and regulation of new power systems is discussed from the dimensions of source-transmission-distribution-usage-equipment, providing reference for the theory of power grid operation and regulation based on large models.

关键词： Artificial intelligence Multimodal large model New power system

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Brain-computer Fusion Low-quality Video Target Detection Method

Brain-computer Fusion Low-quality Video Target Detection Met...

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2024 ieee International conference on Unmanned Systems, ICUS 2024

作者： Shi, Jianting Bi, Luzheng Xu, Xinbo Fei, Weijie Feleke, Aberham Genetu School of Mechanical Engineering Beijing Institute of Technology Beijing China

ISBN: (纸本)9798350384185

Video target detection technology has made significant progress in recent years. However, in the face of low-quality video targets, traditional computer vision methods are limited by unclear features or missing information. In this paper, we propose an innovative video target detection method that combines computer vision techniques with non-invasive brain-computer interface (BCI) techniques, aiming to address the low robustness of computer vision with the high false alarm rate of BCI methods. This method combines the advantages of the two systems, combining the rapidity of computer vision technology and the high robustness and anti-interference of BCI technology. Experimental results show that the proposed method improves the detection performance of low-quality video target detection method, and achieves performance improvement compared with the single method. This paper brings new technical ideas to the field of video target detection, and also provides new possibilities for the expansion of BCI technology in practical applications. © 2024 ieee.

关键词： Computer vision

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An eBPF-empowered Congestion control System with Delay Requirements

An eBPF-empowered Congestion Control System with Delay Requi...

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2024 ieee International conference on Systems, Man, and Cybernetics, SMC 2024

作者： Pan, Wenqi Xu, Yuedong Wang, Chenhao Wu, Jun Tongji University Wenqi Pan Is with the Department of Computer Science Shanghai201804 China School of Information Science and Engineering Fudan University Shanghai200237 China School of Computer Science Fudan University Shanghai200433 China

ISBN: (纸本)9781665410205

The rapid development of new communication applications such as virtual reality and video conferencing has brought new challenges to congestion control algorithms. In particular, these applications have specific requirements in terms of delay. Meeting specific delay requirements without high throughput loss is difficult, especially in dynamic networks. In addition, it is important that the proposed congestion control algorithms can be easily deployed. In this paper, we propose a congestion control algorithm, namely TD-BBR, to meet the delay requirements of different applications. TD-BBR is built on BBR and can adapt to various network environments without high throughput loss. we employ an online algorithm based on the recursive least squares method to predict future bandwidth. We design a simple and effective algorithm to adjust the congestion window (CWND) to meet the specific delay requirements according to the value of bandwidth prediction and the distance between the current delay and the target delay. We implement a real congestion control system through extended Berkeley Packet Filter (eBPF) technology and have deployed it in the Linux kernel without recompiling the kernel. Extensive experiments show that TD-BBR can effectively meet different delay requirements in most cases, decrease the 95th percentile delay, and avoid high throughput loss compared to other congestion control algorithms © 2024 ieee.

关键词： Video conferencing

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A Design Of Intelligent Reflecting Surface Using Spidron Structure For 6G applications 10

A Design Of Intelligent Reflecting Surface Using Spidron Str...

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10th ieee International conference on Communications and Electronics (ieee ICCE)

作者： Van-Tung Nguyen Quang-Tuan Le Khac Kiem Nguyen Son Xuat Ta Hanoi Univ Sci & Technol Sch Elect & Elect Engn Hanoi 100000 Vietnam

ISBN: (纸本)9798350379808;9798350379792

Intelligent reflecting surfaces (IRSs), which are 2-D structures comprising numerous unit cells, have emerged as one of the pivotal technologies for the sixth generation (6G) of wireless communication networks. By dynamically tuning the amplitude and phase shift of each unit cell, IRSs provide an opportunity to reshape and control the reflective wave. For this reason, we can convert propagation environment into part of the network design parameters that are subject to optimization. In this paper, we presents design of an IRS using spidron structure for 6G applications. Firstly, we provide requirements of designing a new IRS in three key metrics, including unit-cell size, number of unit cell states, and IRS panel size. And then, a genetic algorithm is used for calculating the desired beam directions which are engineered with the proper phase states of each unit cell. Subsequently, a novel spidron structure is designed for 2-bit unit cell of IRS with size of 0.33 lambda x 0.33 lambda at 2.6 GHz. Thank to spidron shape, the features of IRS include light weight, wide scanning angle, and high scan resolution. For demonstration, an IRS panel with 34 x 10 cells are computationally investigated and the simulations result in a scan resolution of 10 degrees and scan angle up to +/- 60 degrees with peak gain of 22.6 dBi.

关键词： Intelligent Reflecting Surfaces Beam Scanning Varactor 6G Spidron Structure

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Study of a Hybrid Energy Storage System for Novel Wind Power Generator 3

Study of a Hybrid Energy Storage System for Novel Wind Power...

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3rd International conference on Sustainable Mobility applications, Renewables and technology, SMART 2024

作者： Yan, Wenju Hu, Jingpeng Xin, Jun Chen, Hao Wang, Yang School of Electrical Engineering China University of Mining and Technology Xuzhou221116 China

ISBN: (纸本)9798331532925

In this paper, a new independent DC microgrid hybrid energy storage system is designed, which uses a 16/18/16-type double-stator switched reluctance motor as a wind turbine generator, and in order to realise the fluctuating power smoothing of the hybrid energy storage system for wind power generation under off-grid scenario, moving average dynamic evolution control (MADEC) strategy for power allocation is proposed. This energy storage control strategy consists of two parts: the power allocation module decomposes the fluctuating power into average power components and instantaneous power components;the dynamic evolution control module controls the power flow of the energy storage system. At the same time, the fuzzy control algorithm is used to optimise the management of the energy storage unit's charge state, and the lithium battery's charging and discharging power is threshold to ensure the safe and stable operation of the energy storage system. © 2024 ieee

关键词： Windmill

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