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IEEE Photonics Journal 2023年 1-10页

作者： Li, Maolin Ling, Peng Wen, Shangsheng Chen, Xiandong Wen, Fei School of Automation Science and Engineering South China University of Technology Guangzhou Guangdong China Department of Electrical and Computer Engineering Texas A&M University College Station TX USA

Optical camera communication (OCC) has been widely employed in various applications as a flexible and cost-effective means of communication both on land and underwater. However, the performance of the OCC system through the water-air interface has not been thoroughly investigated. In this paper, we explore the performance of the OCC system in a water-air environment and propose a bubble-wave-mitigation algorithm to pre-process the captured frames of received video. Moreover, we propose a transformer-based neural network to demodulate the transmitted signal, mitigating the deterioration in transmission performance caused by inter-symbol interference (ISI). The experimental results demonstrate that a robust transmission can be achieved in the water-air environment by applying our proposed algorithms and neural network demodulator. Author

关键词： Cost effectiveness

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On interoperability of Datacentre and the Energy market in the Nordic Region 32

On interoperability of Datacentre and the Energy market in t...

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32nd IEEE International Symposium on Industrial Electronics, ISIE 2023

作者： Yang, Chen-Wei Galkin, Nikolai Vyatkin, Valeriy Luleå Tekniska Universitet Computer and Space Engineering Department of Computer Science Sweden Aalto University Department of Electrical Engineering and Automation Espoo Finland

ISBN: (纸本)9798350399714

Data centres are emerging as the essential backbone infrastructure for the booming information age and are becoming a sizable consumer of the energy system. Green and modular data centre are a new class of data centres which could participate in the reserve energy market due to their renewable energy flexibility. This paper investigates the interoperability of the data centre (in IEC 61850) with the energy market (in EDIEL) by means of a protocol translating aggregator node. Interoperability is demonstrated in a case study where EDIEL documents (specifically the reserve allocation document) are sent to the aggregator node prototyped on a Beaglebone microdevice with SOAP web services for IEC 61850 translation. © 2023 IEEE.

关键词： Smart power grids

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Data-Driven Human Factors Enabled Digital Twin 49

Data-Driven Human Factors Enabled Digital Twin

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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Kolesnikov, Mikhail V. Atmojo, Udayanto Dwi Vyatkin, Valeriy Aalto University Department of Electrical Engineering and Automation Espoo Finland Lulea Tekniska Universitet Department of Computer Science Computer and Space Engineering Sweden

ISBN: (纸本)9798350331820

This paper presents a methodology for increasing human-centric production systems flexibility using human factors-enabled digital twins. The paper includes an analysis of the relevant projects that incorporate human-related data collection and processing. The proposed system is capable of collecting human factors-related data from various sources and then use a decision-making algorithm to schedule the tasks according to assessed human operator conditions in real-time. The formed Digital Twin is able to depict the condition of the labourer and production system status in real-time using Visual Components simulation environment. Shown results prove that existing production systems are capable of adapting to the changing condition of the worker flexibly, optimising workflow, distributing tasks with AGVs and cobots, and applying changes in workplace ergonomics to achieve better safety and performance of the worker. © 2023 IEEE.

关键词： Decision making

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Capillary Property of Entangled Porous Metallic Wire materials and Its Application in Fluid Buffers:Theoretical Analysis and Experimental Study

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Defence Technology（防务技术） 2024年第1期31卷 400-416页

作者： Yu Tang Yiwan Wu Hu Cheng Rong Liu Engineering Research Center for Metal Rubber School of Mechanical Engineering and AutomationFuzhou UniversityFuzhou 350156China AECC Guizhou Liyang Aviation Power Co. LTDGuiyang 550014China College of Computer and Information Sciences Fujian Agriculture and Forestry UniversityFuzhou 350156China

Strong impact does serious harm to the military industries so it is necessary to choose reasonable cushioning material and design effective buffers to prevent the impact of *** on the capillary property entangled porous metallic wire materials(EPMWM),this paper designed a composite buffer which uses EPMWM and viscous fluid as cushioning materials under the low-speed impact of the recoil force device of weapon equipment(such as artillery,mortar,etc.).Combined with the capillary model,porosity,hydraulic diameter,maximum pore diameter and pore distribution were used to characterize the pore structure characteristics of *** calculation model of the damping force of the composite buffer was *** low-speed impact test of the composite buffer was *** parameters of the buffer under low-speed impact were identified according to the model,and the nonlinear model of damping force was *** test results show that the composite buffer with EPMWM and viscous fluid can absorb the impact energy from the recoil movement effectively,and provide a new method for the buffer design of weapon equipment(such as artillery,mortar,etc.).

关键词： Entangled porous metallic wire materials Capillary property Viscousfluid Low-speed impact Damping force

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Improving Dendritic Neuron Model With Dynamic Scale-Free Network-Based Differential Evolution

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IEEE/CAA Journal of Automatica Sinica 2022年第1期9卷 99-110页

作者： Yang Yu Zhenyu Lei Yirui Wang Tengfei Zhang Chen Peng Shangce Gao College of Automation&College of Artificial Intelligence Nanjing University of Posts and TelecommunicationsNanjing 210023China Faculty of Engineering University of ToyamaToyama-shi 930-8555Japan Faculty of Electrical Engineering and Computer Science Ningbo UniversityNingbo 315211China Department of Automation School of Mechatronic Engineering and AutomationShanghai UniversityShanghai 200444China

Some recent research reports that a dendritic neuron model(DNM)can achieve better performance than traditional artificial neuron networks(ANNs)on classification,prediction,and other problems when its parameters are well-tuned by a learning ***,the back-propagation algorithm(BP),as a mostly used learning algorithm,intrinsically suffers from defects of slow convergence and easily dropping into local ***,more and more research adopts non-BP learning algorithms to train *** this paper,a dynamic scale-free network-based differential evolution(DSNDE)is developed by considering the demands of convergent speed and the ability to jump out of local *** performance of a DSNDE trained DNM is tested on 14 benchmark datasets and a photovoltaic power forecasting *** meta-heuristic algorithms are applied into comparison,including the champion of the 2017 IEEE Congress on Evolutionary Computation(CEC2017)benchmark competition effective butterfly optimizer with covariance matrix adapted retreat phase(EBOwithCMAR).The experimental results reveal that DSNDE achieves better performance than its peers.

关键词： Artificial neuron networks(ANNs) dendrite neuron network differential evolution(DE) scale-free network

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Design Pattern for Industrial Control Applications Based on One-Line IEC 61499 Adapter Connections 49

Design Pattern for Industrial Control Applications Based on ...

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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Jhunjhunwala, Pranay Ovsiannikova, Polina Vyatkin, Valeriy Aalto University Department of Electrical Engineering and Automation Espoo Finland Lulea Tekniska Universitet Department of Computer Science Computer and Space Engineering Sweden

ISBN: (纸本)9798350331820

IEC 61499 is an emerging standard for distributed automation which requires well-defined design practises to improve development efficiency. In this paper, we extend the one-line engineering design pattern and provide step-by-step guidelines on its implementation keeping in mind key features of Industry 4.0. The one-line design pattern simplifies the modification of the application structure and the addition of new components to the system without disrupting the existing control application. It also enables easy fault identification and debugging of the system. The design pattern was developed and validated in three different use cases that demonstrated the applicability of the pattern. © 2023 IEEE.

关键词： Program debugging

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LLM-Powered Multi-Actor System for Intelligent Analysis and Visualization of IEC 61499 Control Systems 50

LLM-Powered Multi-Actor System for Intelligent Analysis and ...

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50th Annual Conference of the IEEE Industrial Electronics Society, IECON 2024

作者： Xavier, Midhun Laikh, Tatiana Patil, Sandeep Vyatkin, Valeriy Department of Computer Science Electrical and Space Engineering Lulea Tekniska Universitet Sweden Department of Electrical Engineering and Automation Aalto University Espoo Finland

ISBN: (纸本)9781665464543

This paper introduces an innovative multiactor framework that harnesses the potential of LLMs to augment the functionalities of ICS. By integrating conversational AI technologies, this framework significantly improves human-machine interactions, enabling sophisticated analysis and visualization of intricate data sets. The core of the system comprises specialized LLM actors that interact through a LangGraph-based multiactor framework, addressing various aspects of IEC 61499 control systems including PLC code analysis, SQL query execution, and data visualization. This integration enables operators to interact with the control system using natural language, significantly reducing technical barriers and enhancing the accessibility and usability of complex industrial systems. © 2024 IEEE.

关键词： Control system analysis

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Instance Selection Techniques for Large Volumes of Data 24th

Instance Selection Techniques for Large Volumes of Data

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24th International Conference on Intelligent Data engineering and Automated Learning, IDEAL 2023

作者： Cubillos, Marco Antonio Peña Ballesteros, Antonio Javier Tallón Department of Electronic Computer Systems and Automation Engineering International University of Andalusia Huelva Spain

ISBN: (纸本)9783031482311

Instance selection (IS) serves as a vital preprocessing step, particularly in addressing the complexities associated with high-dimensional problems. Its primary goal is the reduction of data instances, a process that involves eliminating irrelevant and superfluous data while maintaining a high level of classification accuracy. IS, as a strategic filtering mechanism, addresses these challenges by retaining essential instances and discarding hindering elements. This refinement process optimizes classification algorithms, enabling them to excel in handling extensive datasets. In this research, IS offers a promising avenue to strengthen the effectiveness of classification in various real-world applications. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Data mining

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Multiple Attention Network for Facial Expression Recognition 20th

Multiple Attention Network for Facial Expression Recognition

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20th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2023

作者： Feng, Wenyu Fei, Zixiang Zhou, Wenju Fei, Minrui School of Mechatronic Engineering and Automation Shanghai University Shanghai200444 China School of Computer Engineering and Science Shanghai University Shanghai200444 China

ISBN: (纸本)9789819970247

Facial expression recognition (FER) has become increasingly important in the field of human-computer interaction. This paper proposes an improved method with attention mechanism to improve FER performance. Our approach is grounded in two crucial observations. Firstly, as multiple categories share similar underlying facial characteristics, distinguishing between them may be subtle. Secondly, recognizing facial expressions demands a comprehensive approach by encoding high-order interactions among localized features from multiple facial regions simultaneously. To address these challenges, we introduce our MAN model consisting of three key components: Multi-branch stack Residual Network (MRN), Transitional Attention Network (TAN), and Appropriate Cascade Structure (ACS). The TAN learns objectives to maximize class separability, while the MRN deploys attention heads to focus on various facial regions and generate attention maps. Additionally, the ACS module provides a more reasonable construction method for the model. Comprehensive experiments on three publicly available datasets (AffectNet, RAF-DB, and CK+) consistently achieves better expression recognition performance. Compared to the ResNet network, our approach yielded an improved accuracy of 3.3%, 3.2%, 4.1% and 1.8% on the Affectnet7 dataset, Affectnet8 dataset, RAF-DB dataset, and CK+ dataset, respectively. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.

关键词： Human computer interaction

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Using Mixed Reality for Development of Instruction for Industrial Unit Maintenance 24

Using Mixed Reality for Development of Instruction for Indus...

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24th IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2023

作者： Denisov, Maxim O. Yakovina, Irina N. Burov, Ilya O. Novosibirsk State Technical University Dept. of Automation and Computer Engineering Novosibirsk Russia

ISBN: (纸本)9798350336870

In modern complex manufacturing always rely on skilled workers. But training new specialists in complex tasks is an actual problem. In virtual simulation training can be done multiple times and without life risk. Nevertheless, training on the computer is not the same as in the physical world. Blend both ways of training can Mixed Reality. In this paper one of the variants of developing application-instruction for industrial unit maintenance in the form of Mixed Reality application is shown in detail. Used instruments and platforms, where key components were created, are presented. Software structure of the application is described as well as implementation of The State Machine design pattern. This pattern was adapted for application needs, code snippets are shown. The application software was written in the C sharp programming language. The instruction is an immersive training for future specialists. Operator is following the steps of the instructions using the user interface - main virtual panel. Virtual panel design prototype, its features and realization in application are demonstrated. To create an interface related design task was solved including functional components. The connection between essential components is described. Operator's work in application is also demonstrated. © 2023 IEEE.

关键词： Machine design

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