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Study on optimized algorithm for mileage wheel of magnetic flux leakage detector

IOP Conference Series: Materials Science and engineering 2017年第1期220卷

作者： L Y Sun Y B Li Y T Wu Q Y Xu Y Cai School of Control and Mechanical Engineering Tianjin Chengjian University Tianjin 300384 China State Key Lab. of Precision Measurement Technology and Instrument Tianjin University Tianjin 300072 China

Pipeline integrity is significant to safe operation of long-range pipeline. To avoid critical failure of the pipeline, which may lead to great loss of property and life, MFL_PIG is often used to detect the corrosion and leakage of the pipeline. To accurately locate the defects, mileage pulses emitted by the mileage wheel are used to and emit signal to single-chip microcomputer for position. This paper investigates the factors that may affect the precision of mileage wheel, an important part of pipeline corrosion and leakage detector (MFL_PIG), investigate its working principle and present an optimized algorithm for mileage wheel to increase the precision of detection.

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Establishment of magnetic sensors in above ground marking system

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IOP Conference Series: Materials Science and engineering 2017年第1期220卷

作者： L Y Sun Y B Li Y T Wu W P Li P Q Wu School of Control and Mechanical Engineering Tianjin Chengjian University Tianjin 300384 China State Key Lab. of Precision Measurement Technology and Instrument Tianjin University Tianjin 300072 China

Magnetic sensors used in Above Ground Markers (AGM) to measure the magnetic field signals are one of the main parts of AGM. By collecting the change of magnetic field parameter using magnetic sensors, AGM can record the precise time when MFL_PIG is passing by the AGM. In this paper, the magnetic sensors, such as induced coil and magneto-resistive sensor, are investigated in characteristics and performance of measurement. With advantages of low cost, high resolution and wide range of measurement, the induced coil is adopted in a novel AGM. The traction test, seal ability test and temperature test show that the AGM with induced coil as magnetic sensor works well under extreme condition and reacts to change the magnetic field with high sensibility.

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MDD-Enabled Two-Tier Terahertz Fronthaul in Indoor Industrial Cell-Free Massive MIMO

arXiv

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arXiv 2023年

作者： Li, Bohan Dupleich, Diego Xia, Guoqing Zhou, Huiyu Zhang, Yue Xiao, Pei Yang, Lie-Liang The School of CMS Uni. of Leicester LeicesterLE1 7RH United Kingdom Fraunhofer Institute for Integrated Circuits IIS Erlangen91058 Germany The School of Engineering Uni. of Leicester LeicesterLE1 7RH United Kingdom The Institute of Communication Measurement Technology Chengdu610095 China 5GIC 6GIC Uni. of Surrey GuildfordGU2 7XH United Kingdom The School of ECS Univ. of Southampton SouthamptonSO17 1BJ United Kingdom

To make indoor industrial cell-free massive multiple-input multiple-output (CF-mMIMO) networks free from wired fronthaul, this paper studies a multicarrier-division duplex (MDD)enabled two-tier terahertz (THz) fronthaul scheme. More specifically, two layers of fronthaul links rely on the mutually orthogonal subcarreir sets in the same THz band, while access links are implemented over sub-6G band. The proposed scheme leads to a complicated mixed-integer nonconvex optimization problem incorporating access point (AP) clustering, device selection, the assignment of subcarrier sets between two fronthaul links and the resource allocation at both the central processing unit (CPU) and APs. In order to address the formulated problem, we first resort to the low-complexity but efficient heuristic methods thereby relaxing the binary variables. Then, the overall end-to-end rate is obtained by iteratively optimizing the assignment of subcarrier sets and the number of AP clusters. Furthermore, an advanced MDD frame structure consisting of three parallel data streams is tailored for the proposed scheme. Simulation results demonstrate the effectiveness of the proposed dynamic AP clustering approach in dealing with the varying sizes of networks. Moreover, benefiting from the well-designed frame structure, MDD is capable of outperforming TDD in the two-tier fronthaul networks. Additionally, the effect of the THz bandwidth on system performance is analyzed, and it is shown that with sufficient frequency resources, our proposed two-tier fully-wireless fronthaul scheme can achieve a comparable performance to the fiber-optic based systems. Finally, the superiority of the proposed MDD-enabled fronthaul scheme is verified in a practical scenario with realistic ray-tracing simulations. © 2023, CC BY.

关键词： Heuristic methods

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Erratum: An improved point spread function for complex susceptibility-based magnetic particle imaging (2022 Meas. Sci. Technol. 33 095402)

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measurement Science and technology 2023年第7期34卷 079601-079601页

作者： Tao Jiang Wentong Yi Zhongzhou Du Wenzhong Liu School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan 430074 People’s Republic of China China-Belt and Road Joint Laboratory on Measurement and Control Technology Wuhan 430074 People’s Republic of China School of Computer and Communication Engineering Zhengzhou University of Light Industry Zhengzhou 450001 People’s Republic of China

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VSG-based PMSG Multi-machine Parallel with DC Droop control Strategy

VSG-based PMSG Multi-machine Parallel with DC Droop Control ...

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International Conference on Power Electronics and Motion control (IPEMC)

作者： Chao Qu Yu-heng Yan Feng Jiang Wei-chun Ge Yi-ning Lu Chuang Liu Tieling power supply company State Grid Liaoning Electric Power Co. Ltd. Shenyang China School of Electrical Engineering Northeast Electric Power University Jilin China Power dispatching control center State Grid Liaoning Electric Power Co. Ltd Shenyang China Ministry of science and technology communication State Grid Liaoning Electric Power Co. Ltd. Shenyang China

ISBN: (数字)9781728153018

ISBN: (纸本)9781728153025

This paper presents a control strategy for multi-machine parallel permanent magnet synchronous generator (PMSG) grid-connected system, which combines the advantages of virtual synchronous generators (VSG) and direct current transmission to achieve large-scale wind power integration. The grid-connected inverter adopts the VSG control strategy to simulate the port characteristics of the traditional synchronous generator, which can actively provide the inertia support for the system when the power system fluctuates. Based on the power-DC voltage drooping characteristics, a machine-side DC droop control strategy is constructed. This control strategy can significantly reduce the number of inverters and realize the collection and transmission of DC-type power, thereby saving economic costs and reducing the cost. Many problems caused by the internal AC collection process of wind farms. Finally, the performance and effectiveness of the proposed method are validated by the simulation results.

关键词： Inverters Synchronous generators Permanent magnets Wind turbines Power systems Voltage control Frequency synchronization

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Preface

Preface

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IEEE Workshop on Evolving and Adaptive Intelligent Systems (EAIS)

作者： Plamen Angelov Dimitar Filev Nik Kasabov José Antonio Iglesias Communication Systems Department InfoLab21 Lancaster University LA1 4WA UK Intelligent Control & Information Systems Ford Research & Advanced Engineering 2101 Village Road MD #1437 Dearborn MI 48121 USA Knowledge Engineering and Discovery Research Institute School of Computing and Informatics Sciences Auckland University of Technology 581 Great South Rd 1020 New Zealand Carlos III University of Madrid Avda. Universidad 30 28911 Leganés Spain

An important research challenge that needs to be address in the area of intelligent systems is the development of new, innovative and original methods, algorithms and implementations of systems with a high level of intelligent; that is, with a high level of flexibility and autonomy. This intelligence needs to be developed by understanding the environment in which these systems operate. However, these environments could be non-stationary, unpredictably changing and partially or completely unknown. For this reason, in order to develop an intelligent system - able to face with problems such as modeling, control, prediction, classification or data mining - in such environments, they need to be able to evolve, to self-develop, to self-organize, to self-evaluate and to self-improve. This is the cornerstone behind the Evolving and Adaptive Intelligent Systems.

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Delivering Improved Care through Remote Health Monitoring Systems by Using Microservices. Case Study: Fall Detection Encompassed into Connected Care

Delivering Improved Care through Remote Health Monitoring Sy...

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International Conference on control Systems and Computer Science (CSCS)

作者： Marilena Ianculescu Adriana Alexandru Ionuţ-Emanuel Giura Ana-Mihaela Vasilevschi Communication Digital Applications and Systems Department National Institute for Research and Development in Informatics Bucharest Romania Doctoral School of Automatic Control and Computers University Politehnica of Bucharest Bucharest Romania Counselors Department National Institute for Research and Development in Informatics Târgovişte Romania Faculty of Electrical Engineering Electronics and Information Technology Târgovişte Romania Valahia University of Târgovişte Târgovişte Romania

Based on today’s modern technologies, patient care can be provided remotely, in a connected way, being, at the same time, personalized, patient-centered and proactive. Such an approach can be achieved using Remote Health Monitoring Systems (RHMS). In case of elderly people, dramatic permanent deteriorations of their health status can be caused by falls. The seniors’ health and life style monitoring and the detection and/or prevention of falls can be done by such RHMS, an example being the RO-SmartAgeing system developed inside “Non-invasive Monitoring System and Health Assessment of the Elderly in a Smart Environment (RO-SmartAgeing)” research project. The paper presents the problem of using microservices for optimizing the architecture and functionalities of RO-SmartAgeing system, and the way in which the problems of ensuring the security of patient data can be solved.

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Conditional Adversarial Domain Adaption based on Self-attention

Journal of Network Intelligence

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Journal of Network Intelligence 2022年第1期7卷 175-188页

作者： Zhao, Li-Quan Zhang, Yu-Peng Teng, Zi-Ming Jiang, Zi-Cong Cui, Ying Kan, Zhong-Feng Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin132012 China College of information and communication Jilin University Changchun130012 China Graduate school of Information Science and Electrical Engineering Kyushu University Fukuoka819-0395 Japan Zhuhai Power Supply Bureau Guangdong Electric Power Corporation Zhuhai519000 China Jilin Power Supply Bureau Jilin Electric Power Corporation Jilin132012 China

Transfer learning is a deep learning method. It transforms knowledge in the source domain and feeds it to the target domain to improve the performance of the target domain model. The conditional adversarial domain adaption method is one of a number of transfer learning methods. It uses Resnet as the feature extraction network;however, Resnet can only determine the relationship between local features, and so its feature extraction accuracy is limited. To overcome this problem, a self-attention layer has been designed in order to determine the relationship among all features. This layer is added between the fourth layer and fifth layer of Resnet. Besides, a cross-entropy function is introduced into loss function, and a sigmoid layer is designed and used as the out layer in conditional adversarial domain adaption. These produce gradient disappearance in the deep network, and influence the discriminator training effect. To solve that problem, a least squares function is used as to design the loss function. The new type of loss function does not require the sigmoid function. Using theoretical analysis, we explain how this new loss function can be used to solve the gradient disappearance problem, thus rendering the network structure more stable. We compare our proposed method with other datasets, including Joint Adaptation Networks, adversarial domain adaptation, conditional adversarial domain adaption, Resnet-50, domain-adversarial neural network on imageCLEF-DA, Office-Home, and Office-31. Our simulation results show that the proposed conditional adversarial domain adaption based on self-attention method has the fastest convergence speed and highest accuracy the among different datasets. © 2022, Taiwan Ubiquitous Information CO LTD. All rights reserved.

关键词： Computer vision

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MAE-GAN: A Novel Strategy for Simultaneous Super-resolution Reconstruction and Denoising of Post-stack Seismic Profile

arXiv

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arXiv 2024年

作者： Yu, Wenshuo Dong, Shiqi Lu, Shaoping Dong, Xintong The College of Instrumentation and Electrical Engineering Jilin University Jilin Changchun130026 China The Key Laboratory of Modern Power System Simulation and the Control and Renewable Energy Technology Ministry of Education Jilin Jilin City132012 China Department of Communication Engineering College of Electric Engineering Northeast Electric Power University Jilin Jilin City132012 China School of Earth Sciences and Engineering Sun Yat-Sen University Guangdong Guangzhou510275 China Guangdong Zhuhai519000 China Guangdong Provincial Key Lab of Geodynamics and Geohazards Sun Yat-Sen University Guangdong Guangzhou510275 China

Post-stack seismic profiles are images reflecting containing geological structures which provides a critical foundation for understanding the distribution of oil and gas resources. However, due to the limitations of seismic acquisition equipment and data collecting geometry, the post-stack profiles suffer from low resolution and strong noise issues, which severely affects subsequent seismic interpretation. To better enhance the spatial resolution and signal-to-noise ratio of post-seismic profiles, a multi-scale attention encoder-decoder network based on generative adversarial network (MAE-GAN) is proposed. This method improves the resolution of post-stack profiles, and effectively suppresses noises and recovers weak signals as well. A multi-scale residual module is proposed to extract geological features under different receptive fields. At the same time, an attention module is designed to further guide the network to focus on important feature information. Additionally, to better recover the global and local information of post-stack profiles, an adversarial network based on a Markov discriminator is proposed. Finally, by introducing an edge information preservation loss function, the conventional loss function of the Generative Adversarial Network is improved, which enables better recovery of the edge information of the original post-stack profiles. Experimental results on simulated and field post-stack profiles demonstrate that the proposed MAE-GAN method outperforms two advanced convolutional neural network-based methods in noise suppression and weak signal recovery. Furthermore, the profiles reconstructed by the MAE-GAN method preserve more geological structures. Copyright © 2024, The Authors. All rights reserved.

关键词： Generative adversarial networks

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Modeling and Simulation Research of a Novel Artificial Skin Sensor

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Journal of Physics: Conference Series 2020年第1期1693卷

作者： Feilu Wang Yong Hu Yang Song Yufeng Chen Ruigen Ye School of Electronics and Information Engineering Anhui Jianzhu University Hefei 230601 China Key laboratory of building information acquisition and measurement control technology Anhui Jianzhu University Hefei 230601 China

In this paper, a novel artificial skin sensor model with special structure based on the flexibility of Polydimethylsiloxane (PDMS) and the piezoresistive effect of Poly Vinylidene Fluoride (PVDF) piezoelectric fiber is proposed to solve the problems of structure design and complicated manufacturing process of skin sensor sensitive units. It has excellent piezoelectric effect and can detect the external force efficiently and precisely. The finite element analysis technology is used to simulate the deformation of the novel artificial skin sensor under external force from different aspects. Firstly, the crossing-mesh sensitive unit model and the three-layer configuration with three-layer of the artificial skin sensor are designed. Secondly, the external forces are applied to the sensitive units with different diameters by finite element analysis, and the sensitive unit with optimum diameter is figured out for the novel artificial skin sensor. After that, with the optimum sensitive unit, the performance of the artificial skin sensor model with the optimum sensitive unit is specifically simulated when it's subjected to different stress. Finally, through seriously analyzing the experiment results, the mapping relationship between the deformation of the artificial skin sensor and the external force is obtained. Experiment results demonstrate that the novel artificial skin sensor has high sensitivity, not only can truly reflect the approximate linear relationship between sensor deformation and external load, but also can accurately detect the magnitude of external force applied to the sensor.

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