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5th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2011

作者： Alegre, Enrique García-Ordás, María Teresa González-Castro, Víctor Karthikeyan, S. Dep. of Electrical Systems and Automatic Engineerings Univ. of León Spain Dep. of Electrical and Computer Engineering Univ. of California Santa Barbara United States

ISBN: (纸本)9783642212567

Two new textural descriptor, named N Concentric Squares Resized (NCSR) and N Concentric Squares Histogram (NCSH), have been proposed. These descriptors were used to classify 472 images of alive spermatozoa heads and 376 images of dead spermatozoa heads. The results obtained with these two novel descriptors have been compared with a number of classical descriptors such as Haralick, Pattern Spectrum, WSF, Zernike, Flusser and Hu. The feature vectors computed have been classified using kNN and a backpropagation Neural Network. The error rate obtained for NCSR with N = 11 was of 23.20% outperforms the rest of descriptors. Also, the area under the ROC curve (AUC) and the values observed in the ROC curve indicates the performance of the proposed descriptor is better than the others texture description methods. © Springer-Verlag Berlin Heidelberg 2011.

关键词： Image classification

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The performance potential of superconducting linear and planar motors 17

The performance potential of superconducting linear and plan...

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17th International Conference of the European Society for Precision engineering and Nanotechnology, EUSPEN 2017

作者： Koolmees, H.B. De Bruyn, B.J.H. Vermeulen, J.P.M.B. Jansen, J.W. Lomonova, E.A. Eindhoven University of Technology Dep. of Mechanical Engineering Control Systems Technology - Mechatronic Systems Design Netherlands Eindhoven University of Technology Dep. of Electrical Engineering Electromechanics and Power Electronics Netherlands

ISBN: (纸本)9780995775107

Electromagnetic motors currently used in lithography systems are pushed to their limit and it is challenging to increase acceleration without introducing additional disturbances. Superconductors could provide an improvement in magnetic flux density and/or current density compared to the permanent magnets and copper coils currently used. The improvement potential of three superconducting (SC) alternatives is analysed in this paper. The achievable magnetic flux density with SC electromagnets and SC bulk magnets is derived and the (alternating) current density in a SC coil is presented as a function of cooling power. All three are analysed for a range of cryogenic temperatures. An increase in magnetic flux density of a factor of three is computed at a temperature of 30 K and the same increase in current density is found at 50 K with equal cooling power compared to copper coils. As a result, superconductivity is expected to provide a significant improvement with respect to magnetic flux density and/or current density in a motor application.

关键词： Linear motors

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Decoupled feedforward-feedback periodic event-triggered control for disturbance rejection ⁎

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IFAC-PapersOnLine 2020年第2期53卷 2708-2713页

作者： Ernesto Aranda-Escolástico María Guinaldo José Luis Guzmén Sebastián Dormido Dep. of Software and Systems Engineering UNED Dep. of Computer Sciences and Automatic Control UNED Dep. of Informatics ceiA3 CIESOL University of Almería

In this paper, feedforward and feedback controllers are studied considering decoupled periodic event-triggering mechanisms for output and disturbance sensors. Stability and robustness conditions for linear systems are obtained considering transportation delays and actuator saturation following the Lyapunov-Krasovskii procedure. A numerical example shows that the proposed control strategy reduces the communication between sensors and controller significantly, while the system performance is not deteriorated.

关键词： Event-triggered control feedforward control Lyapunov stability time delay disturbance rejection saturation

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E2GK: Evidential evolving Gustafsson-Kessel algorithm for data streams partitioning using belief functions

E2GK: Evidential evolving Gustafsson-Kessel algorithm for da...

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11th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2011

作者： Serir, Lisa Ramasso, Emmanuel Zerhouni, Noureddine Automatic Control and Micro-Mechatronic Systems Dep. FEMTO-ST Institute UMR CNRS 6174 - UFC/ ENSMM/ UTBM Besançon25000 France

ISBN: (纸本)9783642221514

A new online clustering method, called E2GK (Evidential Evolving Gustafson-Kessel) is introduced in the theoretical framework of belief functions. The algorithm enables an online partitioning of data streams based on two existing and efficient algorithms: Evidantial c-Means (ECM) and Evolving Gustafson-Kessel (EGK). E2GK uses the concept of credal partition of ECM and adapts EGK, offering a better interpretation of the data structure. Experiments with synthetic data sets show good performances of the proposed algorithm compared to the original online procedure. © 2011, Springer-Verlag Berlin Heidelberg.

关键词： Uncertainty analysis

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An evidential evolving prognostic approach and its application to PRONOSTIA's data streams

An evidential evolving prognostic approach and its applicati...

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2012 Annual Conference of the Prognostics and Health Management Society, PHM 2012

作者： Serir, Lisa Ramasso, Emmanuel Zerhouni, Noureddine Automatic Control and Micro-Mechatronic Systems Dep. FEMTO-ST Institute UMR CNRS 6174 - UFC / ENSMM / UTBM Besançon25000 France

ISBN: (纸本)9781936263059

The research activity in the PHM community is in full bloom and many efforts are being made to develop more realistic and reliable methodologies. However, there still exist very few real-world applications due to the complexity of the systems of interest. Nonlinear dynamical systems identification and behavior prediction are difficult problems encountered in prognosis. The difficulty in switching from theory to practice can partially be explained by the existence of different kinds of uncertainty at each step of the implementation that must be taken into account with the appropriate tools. In this paper, we propose an evolving multi-modeling approach for the detection, the adaptation and the combination of local models in order to analyze complex systems behavior. It relies on belief functions in order to take into consideration the uncertainty related to the available data describing the system as well as the uncertainty generated by the nonlinearity of the system. The information of doubt explicitly represented in the belief functions framework is exploited to properly segment the data and take into account the uncertainty related to the transitions between the operating regions. The proposed algorithm is validated on a data provided by PRONOSTIA platform.

关键词： Nonlinear dynamical systems

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E2GK-pro: An evidential evolving multimodeling approach for systems behavior prediction

E2GK-pro: An evidential evolving multimodeling approach for ...

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2011 Annual Conference of the Prognostics and Health Management Society, PHM 2011

作者： Serir, Lisa Ramasso, Emmanuel Zerhouni, Noureddine FEMTO-ST Institute UMR CNRS 6174-UFC/ENSMM/UTBM Automatic Control and Micro-Mechatronic Systems Dep. Besançon25000 France

ISBN: (纸本)9781936263035

Nonlinear dynamic systems identification and nonlinear dynamic behavior prediction are important tasks in several areas of industrial applications. Multiple works proposed multimodel-based approaches to model nonlinear systems. Multimodeling permits to blend different model types together to form hybrid models. It advocates the use of existing, well known model types within the same model structure. Recently, a multimodeling strategy based on belief functions theory was developed based on a fuzzy rule based system. We propose a different approach of this latter taking advantage of new efficient evidential clustering algorithms for the determination of the local models and the assessment of the global model. In particular, we propose an online procedure based on the Evidential Evolving Gustafsson-Kessel (E2GK) algorithm that ensures an evolving partitioning of the data into clusters that correspond to operating regions of the global system. Thus the estimation of the local models is dynamically performed by upgrading and modifying their parameters while the data arrive. Each local model is weighted by a belief mass provided by E2GK, and the global model (multimodel) is a combination of all the local models.

关键词： Clustering algorithms

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Assessment of diabetics with various degrees of autonomic neuropathy using power spectral analysis

Assessment of diabetics with various degrees of autonomic ne...

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2012 International Conference on Biomedical engineering and Biotechnology, iCBEB 2012

作者： Chiu, Chuang-Chien Kuo, Yi-Jiun Liau, Ben-Yi Yeh, Shoou-Jeng Dep. of Automatic Control Engineering Feng Chia University Taichung Taiwan Dep. of Biomedical Engineering Hungkuang University Taichung Taiwan Section of Neurology and Neurophysiology Taichung Cheng-Ching General Hospital Taichung Taiwan

ISBN: (纸本)9780769547060

n this study, we investigate the feasibility of using power spectral density (PSD) analysis to assess the healthy subjects and diabetics with mild, moderate and severe autonomic neuropathy. Continuous cerebral blood flow velocity (CBFV) was measured using transcranial Doppler ultrasound (TCD), and continuous arterial blood pressure (ABP) was measured using Finapres device under supine and hyperventilation conditions. Four groups of subjects were recruited in this study including 11 healthy adults (56.4±8.1 years), 15 diabetics with mild autonomic neuropathy (50.8±15.7 years), 21 diabetics with moderate autonomic neuropathy (61.8±9.0 years), and 25 diabetics with severe autonomic neuropathy (61.4±10.0 years). According to the results of PSD, it can be speculated that while the diabetic autonomic neuropathy of a patient becomes more serious, the function of cerebral auto regulation (CA) tends to be more imbalance. In conclusion, sympathetic activity was different on diabetics with autonomic neuropathy from supine to hyperventilation by the analysis of power spectrum. Sympathetic activity was increased to reduce CBFV from supine to hyperventilation. Due to hyperventilation make oxygen increase in the brain, cerebral auto regulation can make sympathetic activity increased. Therefore, power spectral analysis can be a useful tool to investigate autonomic neuropathy in diabetics. © 2012 IEEE.

关键词： Power spectral density

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An overview on Multimedia Big Data Analytics 8

An overview on Multimedia Big Data Analytics

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8th International Conference on Electrical engineering and Informatics, ICEEI 2021

作者： Khaleel, Firas Layth Tikrit University The Faculty of Petroleum Processes Engineering Dep. of Petroleum Systems and Control Engineering Salah Din Tikrit Iraq

ISBN: (纸本)9781665405560

today, multimedia database management is the most important for the new generation and specifically in big data issues for instant saving, calling and modifying operations for many types of documents as text, video and audio. A huge number of previous researches have been done in the multimedia subject, such as index and storage of multimedia data. However, very few resources on this research work that how to manage a large size of data, as future work. In this paper, suggestion of new method that describes the general model of any kinds of the multimedia database management system, that's lead to a decrease of seeking time/ increase speed time when we have to find for particular data type such as portable data format (PDF). Finally, this study concludes with potential future work for applying the current model to improve the result of usability, management the accessibility and effectiveness of multimedia in big data © 2021 IEEE.

关键词： Database systems

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Data-driven predictive current control for synchronous motor drives 12

Data-driven predictive current control for synchronous motor...

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12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020

作者： Carlet, Paolo Gherardo Favato, Andrea Bolognani, Saverio Dorfler, Florian University of Padova Electric Drives Laboratory Dep. of Industrial Engineering Padova Italy Eth Zurich Automatic Control Laboratory Zurich8092 Switzerland

ISBN: (纸本)9781728158266

Data-driven control techniques have become increasingly popular in recent years due to the availability of massive amounts of data and several advances in data science. These control design methods bypass the system identification step and directly exploit collected data to construct the controller. In this paper, we investigate the application of data-driven methods to the control of electric motor drives, and specifically to the design of current controllers for three-phase synchronous permanent magnet motor drives. Two of the most promising data-driven algorithms are presented, namely the Subspace Predictive control algorithm and the Data-Enabled Predictive control algorithm. The theory behind these techniques is first reviewed in the optimization-based control framework. Standard algorithms are slightly modified to fulfill the requirements of the specific application, and then simulated in the MATLAB Simulink environment. Some key aspects of real-time implementation are studied, providing a proof-of-concept demonstration of the applicability of these algorithms. The data-driven design is proposed for three different topologies of synchronous motors, proving the flexibility of the approach. © 2020 IEEE.

关键词： Model predictive control

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Manipulation of bio-particles by electrokinetics

Manipulation of bio-particles by electrokinetics

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2004 ASME International Mechanical engineering Congress and Exposition, IMECE

作者： Chu, Kuang-Han Liu, Cheng-Hsien Micro-Systems and Control Laboratory Dep. of Power Mechanical Engineering Taiwan Institute of MicroElectroMechanical System National Tsing-Hua University Taiwan

We propose and develop a new bio-particles manipulation device that has the similar size order as targeted bio-objects and is a non-contact approach to bio-objects using AC electrokinetics. We use micro pyramid array made by MEMS KOH anisotropic etch in our design. Simulation results using CFD-ACE+ and ANSYS show extremely high electric field around micro pyramids for our concept proof. Experimental results successfully demonstrate the feature of micro-object manipulation for our device. In this paper, we will present the design, fabrication, modeling, simulation, and testing results of our manipulation device using electrokinetic force. Copyright © 2004 by ASME.

关键词： Kinematics

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