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Evolving granular neural network for semi-supervised data stream classification

Evolving granular neural network for semi-supervised data st...

2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010

作者： Leite, Daniel Costa, Pyramo Gomide, Fernando Department of Computer Engineering and Automation Faculty of Electrical and Computer Engineering University of Campinas Sao Paulo Brazil Graduate Program in Electrical Engineering Catholic University of Minas Gerais Brazil

ISBN: (纸本)9781424469178

In this paper we introduce an adaptive fuzzy neural network framework for classification of data stream using a partially supervised learning algorithm. The framework consists of an evolving granular neural network capable of processing nonstationary data streams using a one-pass incremental algorithm. The granular neural network evolves fuzzy hyperboxes and uses nullnorm based neurons to classify data. The learning algorithm performs structural and parametric adaptation whenever environment changes are reflected in input data. It needs no prior statistical knowledge about data and classes. Computational experiments show that the fuzzy granular neural network is robust against different types of concept drift, and is able to handle unlabeled examples efficiently. © 2010 IEEE.

关键词： Learning algorithms

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On the Use of Quality Flags for Digital Transformers in the Sampled Values Protocol IEC 61850 25

On the Use of Quality Flags for Digital Transformers in the ...

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25th IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2024

作者： Plotnikov, Igor V. Ponomarev, Stanislav V. Faculty of Automation and Computer Engineering Novosibirsk State Technical University Novosibirsk Russia Faculty of Radio Engineering and Electronics Novosibirsk State Technical University Novosibirsk Russia

ISBN: (纸本)9798350389234

This work is devoted to a detailed description of the quality flags of the Sampled Values protocol of the IEC 61850 standard for digital current and voltage transformers. The relevance of this article is due to the fact that the quality flags are not strictly and in detail described in the standard itself, therefore, manufacturers of equipment for digital current and voltage transformers fill in the quality flags if there are problems with data or device at their own discretion. The first part provides information on the structure of interaction between elements of a digital measuring system, describes the advantages of using quality flags in digital data transmission protocols relative to traditional transformers. In the second part, special attention is paid to the interpretation of quality flags in the IEC 61850 standard and the lack of a clear formulation of their applicability in real devices. The third part offers new interpretation of these quality flags with an example of use based on the developed measuring system. At the end of the article, evidence of the correct operation of the described quality flags is provided using a test bench and equipment for analyzing the Sampled Values protocol. © 2024 IEEE.

关键词： Distribution transformers

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Statistical Interconnect Crosstalk Noise Model and Analysis for Process Variations

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Chinese Journal of Electronics 2015年第1期24卷 83-87页

作者： LI Jianwei DONG Gang WANG Zeng YE Xiaochun Faculty of Automation and Information Engineering Xi'an University of Technology State Key Laboratory of Computer Architecture Institute of Computing TechnologyChinese Academy of Sciences Microelectronics Institute Xidian University College of Physics Sicence Qingdao University

When operating frequency is over several gigahertz, the effect of inductance plays an important role and should be included for accurate and speed crosstalk noise analysis. And for new generation IC(Integrated circuit) design tools, the crosstalk noise analysis tools should consider the influence of process variations. In this paper, we propose coupled RLC crosstalk noise distributed parameter model with capacitive load termination. And we develop the framework that how to use the crosstalk noise model for process variations. Our results show that compare with HSPICE, the critical data errors of proposed model are within 1% and the relative errors occurred between calculated values for process variations and HSPICE Monte Carlo simulation values are less than 5%. The key features of the new model include:(1) The impact of inductance on crosstalk noise is considered;(2) The model can be used for process variations analysis;(3) The model reflect the effects of load capacitance directly;(4) The numerical inversion of Laplace transform is introduced for improving speed. So the proposed model meets the needs of future IC design both in speed and accuracy.

关键词： Crosstalk noise Interconnect Inductance Process variation Statistical

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Development of a Software Complex for Energy Facilities Based on an Embedded Linux System 25

Development of a Software Complex for Energy Facilities Base...

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25th IEEE International Conference of Young Professionals in Electron Devices and Materials, EDM 2024

作者： Osyko, Georgii S. Ponomarev, Stanislav V. Faculty of Automation and Computer Engineering Novosibirsk State Technical University Novosibirsk Russia Faculty of Radio Engineering and Electronics Novosibirsk State Technical University Novosibirsk Russia

ISBN: (纸本)9798350389234

Supervisory Control and Data Acquisition is the main and currently remains the most promising method of automated control of complex dynamic systems. In this article the development of a software package installed on embedded Linux-based systems for managing and monitoring energy facilities is discussed. The main part of the article consists of 3 sections. The first section describes the structural diagrams of the entire software package. The UML diagrams of individual software modules designed for processing and transferring data to other devices are presented. The second section describes the structure and appearance of the web interface, describes possible scenarios for user interaction with the interface. At the end, the results of testing performed using a specially created test bench are presented. The entire software base of the developed complex was implemented by the authors of this article. The developed software package has unique characteristics in terms of functionality in conditions of limited resources, and therefore is fully suitable for managing energy facilities based on embedded systems. © 2024 IEEE.

关键词： Embedded software

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Reliability indicators analysis for the cam box module of industrial knitting machines 49

Reliability indicators analysis for the cam box module of in...

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49th International Universities Power engineering Conference, UPEC 2014

作者： Iudean, Dan Munteanu, Radu Dan Zaharia, Valentin Dobra, Mirela Faculty of Electrical Engineering Technical University of Cluj-Napoca Romania Faculty of Automation and Computer Science Technical University of Cluj-Napoca Romania

ISBN: (纸本)9781479965571

This paper studies the reliability of an industrial knitting machine, emphasizing the reliability value and the reliability indicators: failure rate and MTBF (Mean Time Between Failures). This study has been conducted on an industrial knitting machine and has duration of 4500 hours (approximately 6 months), after which preventive maintenance operations are planned. This study analyses the behavior of the reliability, failure rate and of the MTBF depending on the functioning environment and of the temperature to which the knitting machine was subjected. The last part presents an analysis of the top ten components that are most likely to malfunction. © 2014 IEEE.

关键词： Mean time between failures

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Steganography in YUV color space

Steganography in YUV color space

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2007 IEEE International Workshop on Robotic and Sensor Environments, ROSE 2007

作者： Stanescu, Daniela Stratulat, Mircea Groza, Voicu Ghergulescu, Ioana Borca, Daniel Computer and Software Engineering Department University Politehnica Faculty of Automation and Computers 2 Parvan st Timisoara Romania

Steganography means hiding data within data. Exploiting human eye sensitivity on luminance versus chrominance, this article presents a method of hiding messages in digital images based on YUV format and its derivative... 详细信息

ISBN: (纸本)1424415276

关键词： Steganography

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Spike detection and sorting using PARAFAC2 method 36

Spike detection and sorting using PARAFAC2 method

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2014 36th Annual International Conference of the IEEE engineering in Medicine and Biology Society, EMBC 2014

作者： Just, T. Weis, M. Husar, P. Technische Universität Ilmenau Faculty of Computer Science and Automation Institute of Biomedical Engineering and Informatics Ilmenau Germany

ISBN: (纸本)9781424479290

In this contribution we introduce the Parallel Factor 2 (PARAFAC2) analysis as a novel method for the simultaneous detection and classification of neural action potentials. In order to measure these action potentials (spike signals), stem cell derived neuronal cells are cultivated on the surface of a Micro Electrode Array (MEA). Here, the neuronal cells produce ion currents, which can be measured as extracellular electric potentials. Whenever a cell or a group of cells produces ion currents, either spontaneously or evoked by a stimulus, a spike signal can be measured by the electrodes of the MEA. Stimulated cells produce spikes and groups of spikes (bursts) which propagate in space over the MEA. In the recorded data, different source types (e.g., cells which respond directly to external stimuli and cells which are triggered by other neural cells) are characterized by different spike shapes. The proposed PARAFAC2 method is able to separate these spike shapes (sources) in time, frequency and space (channels) enabling an improved performance in noisy scenarios. Furthermore, PARAFAC2 allows for a causality analysis on the measured spike signals (i.e. the identification of different signal paths). Thereby, the PARAFAC2 decomposition is able to exploit the multi-dimensional structure of the MEA data. © 2014 IEEE.

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Information System for Seismic Monitoring of Industrial Explosions at Mining Enterprises 3

Information System for Seismic Monitoring of Industrial Expl...

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3rd IEEE International Conference on Problems of Informatics, Electronics and Radio engineering, PIERE 2024

作者： Goshko, Elena Yu. Kharlamov, Alexey S. Novosibirsk State Technical University Faculty of Automation and Computer Engineering Novosibirsk Russia Kemerovo region Prokopyevsk Russia

ISBN: (纸本)9798331516321

Blasting operations carried out at mining enterprises and in construction have a negative seismic impact on the production environment of enterprises and other protected objects. As the pit depth increases, the slope angle of the ledges and sides increases, which increases the likelihood of collapses as a result of seismic impacts of blasting *** information system SIBGEO-AM - seismic monitoring of industrial explosions at mining enterprises, created by SIGI LLC, is described. The seismic monitoring system includes a network of seismic stations installed along the perimeter of the quarry excavation, and a computer program designed to automate the process of collecting, data processing, analyzing, presenting, viewing and storing seismic monitoring results. Examples of records of typical seismic impacts of industrial explosions are given. Algorithms of filtration, selection of events, calculation of seismic impact force in the epicenter of the explosion on the side of the quarry are shown. © 2024 IEEE.

关键词： Quarries

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Study on optimization of multi-UAV nucleic acid sample delivery paths in large cities under the influence of epidemic environment

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Journal of Ambient Intelligence and Humanized Computing 2023年第6期14卷 7593-7620页

作者： Han, Yuhang Xiang, Hongyu Cao, Jianing Yang, Xiaohua Pan, Nan Huang, Linhai Mechanical Engineering Faculty of Civil Aviation and Aeronautics Kunming University of Science and Technology Yunnan China Computer Science and Technology Metrology Center Yunnan Power Grid Co. Ltd. Yunnan China Computer Science and Technology Faculty of Information Engineering and Automation Kunming University of Science and Technology Yunnan China

In the context of global novel coronavirus infection, we studied the distribution problem of nucleic acid samples, which are medical supplies with high urgency. A multi-UAV delivery model of nucleic acid samples with time windows and a UAV (Unmanned Aerial Vehicle) dynamics model for multiple distribution centers is established by considering UAVs’ impact cost and trajectory cost. The Golden Eagle optimization algorithm (SGDCV-GEO) based on gradient optimization and Corsi variation is proposed to solve the model by introducing gradient optimization and Corsi variation strategy in the Golden Eagle optimization algorithm. Performance evaluation by optimizing test functions, Friedman and Nemenyi test compared with Golden Jackal Optimization (GJO), Hunter-Prey Optimization (HPO), Pelican Optimization Algorithm (POA), Reptile Search Algorithm (RSA) and Golden Eagle Optimization (GEO), the convergence performance of SGDCV-GEO algorithm was demonstrated. Further, the improved RRT (Rapidly-exploring Random Trees) algorithm is used in the UAV path planning, and the pruning process and logistic chaotic mapping strategy are introduced in the path generation method. Finally, simulation experiments are conducted based on 8 hospitals and 50 randomly selected communities in the Pudong district of Shanghai, southern China. The experimental results show that the developed algorithm can effectively reduce the delivery cost and total delivery time compared with simulated annealing algorithm (SA), crow search algorithm (CSA), particle swarm algorithm (PSO), and taboo search algorithm (TS), and the developed algorithm has good uniformity, robustness, and high convergence accuracy, which can be effectively applied to the multi-UAV nucleic acid sample delivery path optimization in large cities under the influence of an epidemic environment. © 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： COVID-19

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Bad channel detection in EEG recordings

Bad channel detection in EEG recordings

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作者： Komosar, Milana Fiedler, Patrique Haueisen, Jens Institute of Biomedical Engineering and Informatics Faculty of Computer Sciences and Automation Technische Universität Ilmenau Ilmenau Germany

Electroencephalography (EEG) is widely used in clinical applications and basic research. Dry EEG opened the application area to new fields like self-application during gaming and neurofeedback. While recording, the signals are always affected by artefacts. Manual detection of bad channels is the gold standard in both gel-based and dry EEG but is time-consuming. We propose a simple and robust method for automatic bad channel detection in EEG. Our method is based on the iterative calculation of standard deviations for each channel. Statistical measures of these standard deviations serve as indications for bad channel detection. We compare the new method to the results obtained from the manually identified bad channels for EEG recordings. We analysed EEG signals during resting state with eyes closed and datasets with head movement. The results showed an accuracy of 99.69 % for both gel-based and dry EEG for resting state EEG. The accuracy of our new method is 99.38 % for datasets with the head movement for both setups. There was no significant difference between the manual gold standard of bad channel identification and our iterative standard deviation method. Therefore, the proposed iterative standard deviation method can be used for bad channel detection in resting state and movement EEG recordings. © 2022 The Author(s), published by De Gruyter.

关键词： Electroencephalography

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