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2007 International Aegean Conference on Electrical Machines and Power Electronics, vol.2

作者： M. Albu V. Horga M. Ratoi C. Botan Electrical Engineering Faculty Gheorghe AsachiE2809C Technical University Iasi Romania Automatic Control and Computer Science Faculty Gheorghe AsachiE2809C Technical University Iasi Romania

The paper presents the results referring to the dc link voltage control of an induction generator/PWM converter system. This system can be used for the renewable energy sources in isolated areas. The voltage control i... 详细信息

关键词： Voltage control Induction generators Pulse width modulation converters control systems Power systems Wind turbines Analog-digital conversion Static power converters Capacitors Rectifiers

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Full-pose Trajectory Tracking of Overactuated Multi-Rotor Aerial Vehicles with Limited Actuation Abilities

TechRxiv

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TechRxiv 2023年

作者： Hamandi, Mahmoud Al-Ali, Ismail Seneviratne, Lakmal Franchi, Antonio Zweiri, Yahya The Department of Aerospace Engineering Khalifa University of Science and Technology Abu Dhabi United Arab Emirates The Department of Mechanical Engineering Khalifa University Abu Dhabi United Arab Emirates Khalifa University of Science and Technology Abu Dhabi United Arab Emirates The Robotics and Mechatronics Lab Faculty of Electrical Engineering Mathematics and Computer Science University of Twente Enschede Netherlands The Department of Computer Control and Management Engineering Sapienza University of Rome Rome00185 Italy LAAS CNRS Université de Toulouse Toulouse31000 France Khalifa University Abu Dhabi United Arab Emirates Center for Artificial Intelligence and Robotics New York University Abu Dhabi Saadiyat Island Abu Dhabi129188 United Arab Emirates

This paper presents a novel optimization-based full-pose trajectory tracking method to control overactuated multirotor aerial vehicles with limited actuation abilities. The proposed method allocates feasible control inputs to track a reference trajectory, while ensuring the tracking of the reference position, and while tracking the closest feasible attitude. The optimization simultaneously searches for a feasible trajectory and corresponding feasible control inputs from the infinite possible solutions, while ensuring smooth control inputs. The proposed real-time algorithm is tested in extensive simulation on multiple platforms with fixed and actuated propellers. The simulation experiments show the ability of the proposed approach to exploit the complex set of feasible forces and moments of overactuated platforms while allocating smooth feasible control inputs. © 2023, CC BY.

关键词： Trajectories

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Local Feature Based Mammographic Tissue Pattern Modelling and Breast Density Classification

Local Feature Based Mammographic Tissue Pattern Modelling an...

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2011 4th International Conference on Biomedical engineering and Informatics(第四届生物医学工程与信息学国际会议 BMEI 2011)

作者： Zhili Chen Erika Denton Reyer Zwiggelaar Faculty of Information and Control Engineering Shenyang Jianzhu University Shenyang 110168 P. R. C Deparment of Breast Imaging Norfolk and Norwich University Hospital Norwich NR4 7UY UK Department of Computer Science Aberystwyth University Aberystwyth SY23 3DB UK

It has been shown that there is a strong correlation between breast tissue density/patterns and the risk of developing breast cancer. Thus, modelling mammographic tissue patterns is important for quantitative analysis of breast density and computeraided mammographic risk assessment. In this paper, we first review different local feature based texture representation algorithms, where images are represented as occurrence histograms over a dictionary of local features. Subsequently, we use these approaches to model mammographic tissue patterns based on local tissue appearances in mammographic images. We investigate the performance of different breast tissue representations for breast denstiy classification. The evaluation is based on the full MIAS database using BIRADS ground truth. The obtained classification results are comparable with existing work, which indicates the potential capability of local feature based texture representation in mammographic tissue pattern analysis.

关键词： mammographic tissue patterns texture analysis breast density classification

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Analysis of oxygen saturation detection method on intelligent mobile devices

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Ruan Jian Xue Bao/Journal of Software 2015年 26卷 165-176页

作者： Chen, Yi-Neng Deng, Xiao-Ming He, Yue Lu, Lu Tian, Feng Wang, Feng Dai, Guo-Zhong Wang, Hong-An Beijing Key Laboratory of Human-Computer Interaction nstitute of Software The Chinese Academy of Sciences Beijing100190 China School of Computer and Control Engineering University of Chinese Academy of Sciences Beijing100049 China Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming650093 China

With the fast development of mobile devices and great concern on health surveillance, it is becoming increasingly popular to collect, analyze, and interpret people's health-related data by using intelligent mobile devices in their daily life. Oxygen saturation is an important physiological parameter referring to the concentration of oxygen in the blood, and prolonged low oxygen levels may lead to respiratory or cardiac arrest. Previous oxygen saturation detection methods require infrared light, however most of the off-the-shelf mobile devices lack such infrared light transmitter and receiver modules. This paper presents a novel oxygen saturation estimation method emplying a RGB camera and visible light in most of mobile devices. By applying of traditional optical oxygen saturation estimation model to mobile devices, and analyzing its problem for those devices, this study proposes a new oxygen saturation estimation model on intelligent mobile devices and offers an approach to solve the baseline drift problem in mobile cameras. Experiments demonstrate the effectiveness of the proposed method and its potentials in many oxygen saturation based researches such as daily-activity based healthcare with mobile devices. © Copyright 2015, Institute of Software, the Chinese Academy of sciences. All rights reserved.

关键词： Cameras

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Interpreting Industrial IoT Data Streams Through Fuzzy Querying With Hysteretic Fuzzy Sets on Apache Kafka

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IEEE Transactions on Fuzzy Systems 2024年第8期32卷 4671-4684页

作者： Bożena Małysiak-Mrozek Bartłomiej Ryba Marek Molęda Che-Lun Hung Witold Pedrycz Weiping Ding Dariusz Mrozek Department of Distributed Systems and Informatic Devices Silesian University of Technology Gliwice Poland Department of Applied Informatics Silesian University of Technology Gliwice Poland Institute of Biomedical Informatics National Yang Ming Chiao Tung University Taipei City Taiwan Department of Electrical and Computer Engineering University of Alberta Edmonton AB Canada Department of Measurements and Control Systems Silesian University of Technology Gliwice Poland Research Center of Performance and Productivity Analysis Istinye University Istanbul Türkiye School of Artificial Intelligence and Computer Science Nantong University Nantong China Faculty of Data Science City University of Macau Macau China

In industrial settings, querying data streams from Internet of Things (IoT) devices benefits from utilizing elastic criteria to enhance the interpretability of the current state of the monitored environment. Fuzzy sets provide this elasticity, enabling the aggregation and representation of similar values in a human-comprehensible manner. However, many sensor signals exhibit temporal oscillations, leading to varying interpretations of the signal based on its current trend (rising or falling). This hysteresis in signal (and subsequently of the production device) interpretation inspired us to introduce this phenomenon into data stream processing, resulting in the novel concept of hysteretic fuzzy sets. This article demonstrates how fuzzy searching and grouping can be applied to IoT sensor signals in flexible Big Data stream processing on Apache Kafka. We illustrate the impact of data stream querying with KSQL queries involving fuzzy sets (encompassing fuzzy filtering of data stream events, fuzzy transformation of data stream attributes, fuzzy grouping, and joining) on the flexibility of executed operations and computational resources utilized by the Kafka processing engine. Finally, our experiments with hysteretic fuzzy sets while analyzing sensor signals in power plants demonstrate that this novel approach effectively reduces the number of alarms while monitoring the state of the production machine.

关键词： Streams Fuzzy sets Internet of Things Big Data Monitoring Production Real-time systems

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A Wavelet Packet Transform Based Deep Feature Transfer Learning Method for Bearing Fault Diagnosis Under Different Working Conditions

SSRN

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SSRN 2022年

作者： Yu, Xiao Liang, Zhongting Wang, Youjie Yin, Hongshen Liu, Xiaowen Yu, Wanli Huang, Yanqiu IOT Perception Mine Research Center China University of Mining and Technology Xuzhou221000 China School of Information and Control Engineering China University of Mining and Technology Xuzhou221000 China School of Electrical and Power Engineering China University of Mining and Technology Xuzhou221000 China Institute of Electrodynamics and Microelectronics University of Bremen Bremen28359 Germany Faculty of Electrical Engineering Mathematics and Computer Science University of Twente Enschede 7522NH Netherlands

Deep learning has achieved significant advances in the fault diagnosis of rotating machinery. However, it still suffers many challenges such as various working conditions and insufficient effective data samples. Signal time-frequency analysis and feature transfer learning methods can help solve these problems. Combining WPT and MK-MMD, this paper proposes a ResNet-based deep transfer diagnosis model for bearing faults. Firstly, this paper uses WPT to perform time-frequency analysis vibration signals to construct a wavelet packet transform time-frequency feature map (WPT-TFFM). Then, it designs a multi-group parallel ResNet network structure to extract the depth features of WPT-TFFM. It further applies MK-MMD to evaluate the distribution difference between the depth features of the source and target domain data. This work conducts comparative experiments on two test rigs under different working loads and speeds. The results reveal that the proposed method offers excellent fault diagnosis capability for working condition transfer tasks. © 2022, The Authors. All rights reserved.

关键词： Failure analysis

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Extended Horizon Predictive control for Software Defined Networked Microgrids

SSRN

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SSRN 2024年

作者： Guzmán, Ricardo Pérez Rivera, Marco Araya, Baldomero Gómez, Juan S. Salgueiro, Yamisleydi Restrepo, Carlos Wheeler, Patrick You, Minglei Sumner, Mark Department of Computer Science Faculty of Engineering Universidad de Talca Curicó Maule 3341717 Chile Power Electronics Machines and Control Research Group Faculty of Engineering University of Nottingham NottinghamNG7 2GT United Kingdom Laboratorio de Conversión de Energías y Electrónica de Potencia LCEEP Dirección de Investigación Universidad de Talca Curicó Maule 3341717 Chile Department of Electrical Engineering Faculty of Engineering Universidad de Talca Curicó Maule 3341717 Chile Department of Engineering Sciences The Energy Transformation Center Universidad Andrés Bello Santiago-Chile Santiago de Chile8370035 Chile Department of Industrial Engineering Faculty of Engineering Universidad de Talca Curicó Maule 3341717 Chile

This paper presents a model-based predictive control implementation (FCS-MPC) with extended horizon prediction to address the resiliency problem and voltage/frequency deviations for hierarchical microgrids. The proposed framework integrates Software-Defined Networking (SDN) as a set of microservices, where prediction models enable effective coordination and enhance system reliability by including communication constraints. The control strategy considers the variability of communication latency and packet loss to adjust the shared references based on the secondary control’s spatial and temporal correlation. The system is subjected to four test case scenarios to analyze the impact of communications in distributed generation, plugand-play capabilities, and load fluctuations on the microgrid. The proposed SDN-based framework enables the resolution of slow dynamic responses to parameter variations, by exploiting the advantages of FCS-MPC. The prediction block in the proposed secondary control outperforms traditional communication methods in terms of latency, recovery time, and packet loss among distributed energy resources, improving hierarchical microgrid performance. © 2024, The Authors. All rights reserved.

关键词： Software defined networking

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Nearest-Better Network for Fitness Landscape Analysis of Continuous Optimization Problems

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IEEE Transactions on Evolutionary Computation 2024年

作者： Diao, Yiya Li, Changhe Zeng, Sanyou Yang, Shengxiang Coello, Carlos A. Coello China University of Geosciences School of Automation Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Ministry of Education Engineering Research Center of Intelligent Technology for Geo-Exploration Wuhan China Anhui University of Sciences and Technology School of Artificial Intelligence Hefei China China University of Geosciences School of Mechanical Engineering and Electronic Information Wuhan China De Montfort University School of Computer Science and Informatics LeicesterLE1 9BH United Kingdom Department of Computer Science CINVESTAV-IPN 07360 Mexico Tecnologico de Monterrey Faculty of Excellence The School of Engineering and Sciences N.L. Monterrey Mexico

Fitness landscape analysis (FLA) is quite important in evolutionary computation. In this paper, we propose a novel FLA method, the nearest-better network (NBN), which uses the nearest-better relationship to simplify the original fitness landscape of continuous optimization problems. We introduce an efficient algorithm to calculate NBN for continuous problems. We also propose four numerical measurements and a 3D visualization method based on NBN. Experiments show that compared to the other main FLA methods, the four numerical measurements proposed here can effectively measure the four intended features: neutrality, ruggedness, modality, and basin of attraction, respectively, and common features of the fitness landscape can be maintained in 3D NBN visualization, regardless of the scale of the problem. NBN also provides a view of how algorithms search in high-dimensional problems with the help of the 3D NBN visualization. © 1997-2012 IEEE.

关键词： Optimization algorithms

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Optimal Pricing Strategies Based on Time Delay in Multi-Service Networks

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IFAC Proceedings Volumes 2001年第3期34卷 105-110页

作者： Fude Jin Yuanwei Jing Zhianhua Zhou G.M. Dimirovske K. Sohraby Institute of Control Science School of Information Science & Engineering Northeastern University Shenyang Liaoning 110006 P.R. of CHINA +86-24/2389-3138 Inst. of Automation & Systems Engg. Faculty of EE SSs. Cyril & Methodius University Karpos 2 B.B. P.D.Box 574:MK-1000 Skopje Rep.of Macedonia Fax# +90-216/327-9631 Dept. of Computer Science & Telecommunications University of Missouri-Kansas Kansas City M064110 USA

The problem of the pricing equilibrium in multi-service priority-based networks isstudied by using Stackelberg game theory. Some concepts of the game theory were revisited first. Then, the existing results on two-user, twolevel Nash problem was reviewed briefly. Following this background, a new one-leader, two-level, two-user incentive Stackelberg strategy was derived and proved by employing the time delay involved.

关键词： Communication networks game theory incentives optimal systems priority Stackelberg game

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Developing a denoising filter for electron microscopy and tomography data in the cloud

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Biophysical Reviews 2012年第3期4卷 223-229页

作者： Starosolski, Zbigniew Szczepanski, Marek Wahle, Manuel Rusu, Mirabela Wriggers, Willy Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology 44-100 Gliwice Akademicka 16 Poland School of Biomedical Informatics University of Texas Health Science Center Houston TX 77030 7000 Fannin St. UCT 600 United States Department of Pediatric Radiology Texas Children's Hospital Houston TX 77030 6621 Fannin St. United States Department of Biomedical Engineering Rutgers The State University of New Jersey Piscataway NJ 08854 599 Taylor Road United States Department of Physiology and Biophysics and Institute for Computational Biomedicine Weill Medical College of Cornell University NY NY 10065 1300 York Ave. United States D. E. Shaw Research NY NY 10036 120 West 45th Street United States

The low radiation conditions and the predominantly phase-object image formation of cryo-electron microscopy (cryo-EM) result in extremely high noise levels and low contrast in the recorded micrographs. The process of single particle or tomographic 3D reconstruction does not completely eliminate this noise and is even capable of introducing new sources of noise during alignment or when correcting for instrument parameters. The recently developed Digital Paths Supervised Variance (DPSV) denoising filter uses local variance information to control regional noise in a robust and adaptive manner. The performance of the DPSV filter was evaluated in this review qualitatively and quantitatively using simulated and experimental data from cryo-EM and tomography in two and three dimensions. We also assessed the benefit of filtering experimental reconstructions for visualization purposes and for enhancing the accuracy of feature detection. The DPSV filter eliminates high-frequency noise artifacts (density gaps), which would normally preclude the accurate segmentation of tomography reconstructions or the detection of alpha-helices in single-particle reconstructions. This collaborative software development project was carried out entirely by virtual interactions among the authors using publicly available development and file sharing tools. © 2012 International Union for Pure and Applied Biophysics (IUPAB) and Springer.

关键词： cryo-EM Digital paths Filtering Helix detection Remote collaboration Supervised classification

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