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34th International Scientific Symposium Metrology and Metrology Assurance, MMA 2024

作者： Dichev, Dimitar Zhelezarov, Iliya Georgiev, Borislav Pulov, Dimcho Kovachev, Hristofor Malakov, Ivo Kupriyanov, Oleksandr Dicheva, Ralitza Technical University of Gabrovo Department of Machine and Precision Engineering Gabrovo Bulgaria Technical University of Sofia Department of Automation of Discrete Production Engineering Sofia Bulgaria Ukrainian Engineering Pedagogics Academy Department of Information Computer Technologies and Mathematics Kharkiv Ukraine Technical University of Sofia Department of Precision Engineering and Measurement Instruments Sofia Bulgaria

ISBN: (纸本)9798350352832

This paper examines the challenges associated with the accuracy of angular orientation measurements of moving objects under dynamic conditions. These measurements are critical to the safety and operational efficiency of mobile objects such as ships, aircraft, drones and autonomous vehicles. Sources of error range from the motions of the objects themselves and vibrations to internal noises and changes in the environment. The paper proposes an error minimization method through the integration of mechanical pendulums, electronic sensors, and adaptive data processing algorithms, including the Kalman filter. The presented method is based on a detailed analysis of accuracy in a dynamic environment and offers innovative approaches to increase the reliability of measurements. These improvements have the potential for widespread application in a variety of industries, increasing the safety and efficiency of moving objects. © 2024 IEEE.

关键词： Kalman filters

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Designing Web Application Client Program Modules for Asynchronous Event Handling

Designing Web Application Client Program Modules for Asynchr...

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Informatics, Electronics, and Radio engineering (PIERE), International Conference Problems of

作者： Vadim O. Mokrushin Sergey P. Ilinykh Faculty of Automation and Computer Engineering Novosibirsk State Technical University Novosibirsk Russian Federation

ISBN: (数字)9798331516321

ISBN: (纸本)9798331516338

The article considers possible approaches to designing program modules in web application clients. A design approach is proposed, the use of which provides an increase in the ease of debugging programs in the development process, localization of errors and reduction of program code duplication. The proposed design approach is based on the division of responsibility between parts of the program code for the implementation of synchronous and asynchronous operations in asynchronous events. Responsibility for processing network interaction with the server and receiving data from the user through controls in the user interface should be assigned to asynchronous operations and their responsibility should be limited only to receiving data from external sources. In turn, updating the application state based on data from external sources should be limited to the responsibility of synchronous operations. The paper shows how the proposed design approach provides the above improvements and provides examples of program code.

关键词： Location awareness Codes Process control Debugging User interfaces Servers Informatics Testing

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SpikeNAS-Bench: Benchmarking NAS Algorithms for Spiking Neural Network Architecture

IEEE Transactions on Artificial Intelligence

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IEEE Transactions on Artificial Intelligence 2025年第6期6卷 1614-1625页

作者： Sun, Gengchen Liu, Zhengkun Gan, Lin Su, Hang Li, Ting Zhao, Wenfeng Sun, Biao Tianjin University School of Electrical and Information Engineering Tianjin300072 China Northwestern Polytechnical University School of Automation Xi’an710072 China Politecnico di Milano Department of Electronics Information and Bioengineering Milan20133 Italy Institute of Biomedical Engineering Chinese Academy of Medical Science & Pecking Union Medical College Tianjin300020 China Binghamton University State University of New York Department of Electrical and Computer Engineering BinghamtonNY13850 United States

In recent years, neural architecture search (NAS) has marked significant advancements, yet its efficacy is marred by the dependence on substantial computational resources. To mitigate this, the development of NAS benchmarks has emerged, offering datasets that enumerate all potential network architectures and their performances within a predefined search space. Nonetheless, these benchmarks predominantly focus on convolutional architectures, which are criticized for their limited interpretability and suboptimal hardware efficiency. Recognizing the untapped potential of spiking neural networks (SNNs)—often hailed as the third generation of neural networks due to their biological realism and computational thrift—this study introduces SpikeNAS-Bench. As a pioneering benchmark for SNN, SpikeNAS-Bench utilizes a cell-based search space, integrating leaky integrate-and-fire neurons with variable thresholds as candidate operations. It encompasses 15 625 candidate architectures, rigorously evaluated on CIFAR10, CIFAR100, and Tiny-ImageNet datasets. This article delves into the architectural nuances of SpikeNAS-Bench, leveraging various criteria to underscore the benchmark's utility and presenting insights that could steer future NAS algorithm designs. Moreover, we assess the benchmark's consistency through three distinct proxy types: zero-cost-based, early-stop-based, and predictor-based proxies. Additionally, the article benchmarks seven contemporary NAS algorithms to attest to SpikeNAS-Bench's broad applicability. We commit to providing training logs, diagnostic data for all candidate architectures, and we promise to release all code and datasets postacceptance, aiming to catalyze further exploration and innovation within the SNN domain. © 2020 IEEE.

关键词： HTTP

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Optimal view point and kinematic control for grape stem detection and cutting with an in-hand camera robot

Optimal view point and kinematic control for grape stem dete...

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IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

作者： Sotiris Stavridis Zoe Doulgeri Automation & Robotics Lab School of Electrical & Computer Engineering Aristotle University of Thessaloniki Greece

ISBN: (数字)9798350377705

ISBN: (纸本)9798350377712

In this work, a methodology to find the best view of a grape stem and approach angle in order to crop it is proposed. The control scheme is based only on a classified point cloud obtained by the in-hand camera attached to the robot’s end effector without continuous stem tracking. It is shown that the proposed controller finds and reaches the optimal view point and subsequently the stem fast and efficiently, accelerating the overall harvesting procedure. The proposed control scheme is evaluated through experiments in the lab with a UR5e robot with an in-hand RealSense camera on a mock-up vine.

关键词： Point cloud compression Robot vision systems Pipelines Crops Kinematics Cameras End effectors Reliability Intelligent robots

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Wound Tissue Classification: A Comparative Analysis of Deep Neural Network Models

Wound Tissue Classification: A Comparative Analysis of Deep ...

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International Conference on Smart Systems and Technologies (SST)

作者： Antonio Antunović Emmanuel Karlo Nyarko Damir Filko Faculty of Electrical Engineering Computer Science and Information Technology Osijek Osijek Croatia Department of Computer Engineering and Automation Faculty of Electrical Engineering Computer Science and Information Technology Osijek Osijek Croatia

ISBN: (数字)9798350386394

ISBN: (纸本)9798350386400

Wound tissue classification is an important task in medical imaging, with applications ranging from wound assessment to treatment planning. In this study, we investigated different neural network architectures and loss functions to improve the accuracy and efficiency of wound tissue classification. The study included eight different neural network architectures, including classic U-Net, MobileNet U-Net, Attention U-Net, Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net), Attention Recurrent Residual U-Net (R2AU-Net), Residual Network (ResNet-50), EfficientNet and SegFormer. Each architecture was trained separately with four different loss functions: categorical cross-entropy, weighted categorical cross-entropy, focal loss and soft dice loss. The comparative analysis revealed that the SegFormer architecture in conjunction with soft dice loss function achieved the most promising results on all classification metrics. The results of the study highlight the potential for further research in this area and emphasise the need for more comprehensive datasets to improve model performance.

关键词： Training Semantic segmentation Transformers Smart systems Robustness Distance measurement Data models Planning Decoding Residual neural networks

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Investigating the Impacts of Climate Change and Natural Disasters on the Feasibility of Power System Resilience

Investigating the Impacts of Climate Change and Natural Disa...

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2022 IEEE Power and Energy Society General Meeting, PESGM 2022

作者： Younesi, Abdollah Wang, Zongjie Wang, Liguo University of Connecticut Department of Electrical and Computer Engineering Storrs United States Harbin Institute of Technology Department of Electrical Engineering and Automation Harbin China

ISBN: (数字)9781665408233

ISBN: (纸本)9781665408233

Due to the increasing rate of high-impact low-frequency (HILF) events, power systems are more vulnerable against the destructive climate events compared to other infrastructures. From this point of view, the primary focus of this article is to investigate the vulnerability of power systems in the face of numerous types of natural disasters in terms of resilience metrics. To achieve this goal, a mesh-structured view of the power system at the transmission level is employed to model the action mechanism from different types of natural disasters on the power system. The Monte Carlo simulation method is further applied to evaluate the resilience metrics of the power system. From the perspective of resilience, the vulnerability of the system against different types of events is finally achieved in this paper. Simulation case studies on the IEEE 30-bus test system have demonstrated that the proposed modeling can not only facilitate in upgraded schemes, but also significantly decrease the amount of damages to the power system after natural extreme events. © 2022 IEEE.

关键词： Climate change

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Auxiliary Control Method for Reducing Vibration of Drive Train of Wind Turbine Caused by Primary Frequency Regulation 3

Auxiliary Control Method for Reducing Vibration of Drive Tra...

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3rd International Conference on Advanced Electrical and Energy Systems, AEES 2022

作者： Bai, Xuechen Wang, Yingwei Sun, Han University of British Columbia Department of Electrical and Computer Engineering Vancouver Canada The School of Electrical Engineering and Automation Harbin Institute of Technology Harbin China

ISBN: (纸本)9781665472081

The primary frequency regulation of the wind turbine can reduce the frequency deviation of the power system to improve the stability of the frequency. However, the primary frequency regulation increases the vibration of the WT's drive train. In this study, auxiliary damping control is proposed to mitigate the vibration of the drive train caused by primary frequency regulation. Firstly, the influence of frequency regulation on the torque of the drive train is analyzed. Then an additional damping control method is proposed, and the influence of the control parameters on the control effect is analyzed. Finally, the effectiveness of the control method is verified by simulation under different wind speeds. The results show that under the same frequency performance, the proposed method can reduce the standard deviation of the drive train torque by more than 50%. © 2022 IEEE.

关键词： Wind turbines

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Improving the Accuracy of Systems for Measuring the Angular Position of Moving Objects with an Adaptive Wiener Filter 34

Improving the Accuracy of Systems for Measuring the Angular ...

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34th International Scientific Symposium Metrology and Metrology Assurance, MMA 2024

作者： Dichev, Dimitar Zhelezarov, Iliya Georgiev, Borislav Hasanov, Hasan Libchev, Kaloyan Kupriyanov, Oleksandr Malakov, Ivo Dicheva, Ralitza Technical University of Gabrovo Department of Machine and Precision Engineering Gabrovo Bulgaria Ukrainian Engineering Pedagogics Academy Department of Information Computer Technologies and Mathematics Kharkiv Ukraine Technical University of Sofia Department of Automation of Discrete Production Engineering Sofia Bulgaria Technical University of Sofia Department of Precision Engineering and Measurement Instruments Sofia Bulgaria

ISBN: (纸本)9798350352832

This paper presents a method for increasing the accuracy of systems for measuring the angular position of moving objects by using an adaptive Wiener filter. In the context of modern technological progress, the accuracy of angular position measurements is important for numerous applications, including aviation, marine, aerospace, robotics, and medical engineering. The method is based on detailed modeling of the dynamic errors arising due to external and internal disturbances and uses the adaptive Wiener filter to correct them. The modeling results demonstrate that the proposed technique significantly reduces the noise and improves the accuracy of the measurements. The method is applicable in various industrial and scientific fields, where high accuracy of angular measurements is required, and offers a significant contribution to the development of measurement technologies and control systems of dynamic objects. © 2024 IEEE.

关键词： Wiener filtering

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Phase-Shift Algorithm for Two Nonorthogonal Interferograms

Phase-Shift Algorithm for Two Nonorthogonal Interferograms

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Informatics, Electronics, and Radio engineering (PIERE), International Conference Problems of

作者： Vladimir I. Guzhov Sergey P. Ilinykh Dmitry S. Khaidukov Faculty of Automation and Computer Engineering Novosibirsk State Technical University Novosibirsk Russian Federation

ISBN: (数字)9798331516321

ISBN: (纸本)9798331516338

The phase step method is widely used to analyze interferograms and extract the phase distribution from them. Its limitation is the large number of interferograms required for this purpose. The minimum number is three interferograms. This paper describes a general analysis algorithm that requires only two interferograms, the phase shifts between which may not be orthogonal. The idea of the paper is to obtain an additional interferogram by transforming a two-dimensional elliptical cross section that is formed by the two interferograms into a threedimensional cross section with respect to the base of some spatial cylinder. After determining the parameters of the ellipse, a projection vector parallel to the center axis of the cylinder is found. Then the two-dimensional section is projected onto a three-dimensional plane perpendicular to the center axis of the cylinder. Each of the projections of this plane onto the coordinate planes forms one of the interferograms. After obtaining three interferograms, phase demodulation was performed using a three-point algorithm. The RMS error of the phase calculation was 0.015 radians.

关键词： Vectors Informatics Demodulation

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Distributed data-driven fault detection for industrial interconnected systems with unknown topology structure ⁎

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IFAC-PapersOnLine 2024年第4期58卷 670-675页

作者： Jingjing Gao Xu Yang Xian Zhou Qing Li Jian Huang Jiarui Cui Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education School of Automation and Electrical Engineering University of Science and Technology Beijing PR China School of Computer and Communication Engineering University of Science and Technology Beijing PR China

Driven by the enhancing requirements for ensuring stable operation of complex industrial processes, this paper investigates a distributed data-driven fault detection (FD) method for industrial interconnected systems. The topology structure of the industrial interconnected system is presumed to be unknown. To this end, the input/output (I/O) data-set model for the interconnected system and the distributed input/output data-set models for the subsystems are derived first. Then, the topology structure of the interconnected system is reconstructed through data-driven realization of gap metric by utilizing the subspace Identification method. Subsequently, the distributed data-driven fault detection method with enhanced information exchange topology is developed. Finally, we validate the feasibility and efficiency of the proposed method by conducting a case study on a chemical process consisting of four continuous-stirred tank reactors (CSTRs).

关键词： Fault detection industrial interconnected systems subspace Identification method gap metric data-driven

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