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The Journal of Machine Learning Research 2014年第1期15卷

作者： Kevin Murphy Bernhard Schölkopf Fredrik Lindsten Michael I. Jordan Thomas B. Schön Google Department of Engineering University of Cambridge Cambridge UK and Division of Automatic Control Linköping University Linköping Sweden Computer Science Division and Department of Statistics University of California Berkeley CA Department of Information Technology Uppsala University Uppsala Sweden

Particle Markov chain Monte Carlo (PMCMC) is a systematic way of combining the two main tools used for Monte Carlo statistical inference: sequential Monte Carlo (SMC) and Markov chain Monte Carlo (MCMC). We present a new PMCMC algorithm that we refer to as particle Gibbs with ancestor sampling (PGAS). PGAS provides the data analyst with an off-the-shelf class of Markov kernels that can be used to simulate, for instance, the typically high-dimensional and highly autocorrelated state trajectory in a state-space model. The ancestor sampling procedure enables fast mixing of the PGAS kernel even when using seemingly few particles in the underlying SMC sampler. This is important as it can significantly reduce the computational burden that is typically associated with using SMC. PGAS is conceptually similar to the existing PG with backward simulation (PGBS) procedure. Instead of using separate forward and backward sweeps as in PGBS, however, we achieve the same effect in a single forward sweep. This makes PGAS well suited for addressing inference problems not only in state-space models, but also in models with more complex dependencies, such as non-Markovian, Bayesian nonparametric, and general probabilistic graphical models.

关键词： Bayesian inference non-Markovian models particle Markov chain Monte Carlo sequential Monte Carlo state-space models

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Modelling 3D magnetic networks in a realistic solar atmosphere

arXiv

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arXiv 2019年

作者： Gent, Frederick A. Snow, Ben Fedun, Viktor Erdélyi, Robertus Academy of Finland ReSoLVE Centre of Excellence Department of Computer Science Aalto University FI-02150 Finland College of Engineering Mathematics and Physical Sciences University of Exeter EX4 4QF United Kingdom School of Mathematics Statistics and Physics Newcastle University NE1 7RU United Kingdom School of Mathematics and Statistics University of Sheffield S3 7RH United Kingdom Plasma Dynamics Group Department of Automatic Control and Systems Engineering University of Sheffield S1 3JD United Kingdom Department of Astronomy Eötvös Loránd University Pázmány Péter sétány 1/A Budapest H-1117 Hungary

The magnetic network extending from the photosphere (solar radius ' R) to lower corona (R + 10 Mm) plays an important role in the heating mechanisms of the solar atmosphere. Here we further develop the models with realistic open magnetic flux tubes of the authors in order to model more complicated configurations. Closed magnetic loops, and combinations of closed and open magnetic flux tubes are modelled. These are embedded within a stratified atmosphere, derived from observationally motivated semi-empirical and data-driven models subject to solar gravity and capable of spanning from the photosphere up into the chromosphere and lower corona. Constructing a magnetic field comprising self-similar magnetic flux tubes, an analytic solution for the kinetic pressure and plasma density is derived. Combining flux tubes of opposite polarity it is possible to create a steady background magnetic field configuration modelling a solar atmosphere exhibiting realistic stratification. The result can be applied to SOHO/MDI and SDO/HMI and other magnetograms from the solar surface, upon which photospheric motions can be simulated to explore the mechanism of energy transport. We demonstrate this powerful and versatile method with an application to Helioseismic and Magnetic Imager data. Copyright © 2019, The Authors. All rights reserved.

关键词： 3D modeling

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Disrupted bandcount doubling in an AC-DC boost PFC circuit modeled by a time varying map

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Journal of Physics: Conference Series 2016年第1期692卷

作者： Viktor Avrutin Zhanybai T. Zhusubaliyev Abdelali El Aroudi Danièle Fournier-Prunaret Germain Garcia Erik Mosekilde Institute for Systems Theory and Automatic Control University of Stuttgart Stuttgart Germany Department of Computer Science Southwest State University Kursk Russia Department of Electronics Electrical Engineering Automatic Control Universitat Rovira i Virgili Tarragona Spain INSA LAAS-CNRS Université de Toulouse Toulouse France INSA LAAS-CNRS Université de Toulouse Toulouse France Department of Physics The Technical University of Denmark Lyngby Denmark

Power factor correction converters are used in many applications as AC-DC power supplies aiming at maintaining a near unity power factor. Systems of this type are known to exhibit nonlinear phenomena such as sub-harmonic oscillations and chaotic regimes that cannot be described by traditional averaged models. In this paper, we derive a time varying discretetime map modeling the behavior of a power factor correction AC-DC boost converter. This map is derived in closed-form and is able to faithfully reproduce the system behavior under realistic conditions. In the chaotic regime the map exhibits a sequence of bifurcation similar to a bandcount doubling cascade on the low frequency. However, the observed scenario appears in some sense incomplete, with some gaps in the bifurcation diagram, whose appearance to our knowledge has never been reported before. We show that these gaps are caused by high frequency oscillations.

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2-D GCANet Applied to Denoise 1-D EEG Signals in Online Remote Teaching Scenarios

Journal of Network Intelligence

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Journal of Network Intelligence 2023年第4期8卷 1289-1302页

作者： Huang, Ting-Qing Wang, Chuan-Sheng Chen, Zhao-Qi Zhang, Fu-Quan Meng, Xiang-Long Grau, Antoni Chen, Yang Huang, Jing-Wei College of Computer and Control Engineering Minjiang University Fuzhou University Town No. 200 Xiyuangong Road Fuzhou China Department of Automatic Control Technical Polytechnic University of Catalonia Autonomous Region of Catalonia Barcelona Spain College of Computer and Big Data Fuzhou University Fuzhou University Town No. 2 Wulong Jiangbei Avenue Fuzhou China Digital Media Art Key Laboratory of Sichuan Province Sichuan Conservatory of Music No. 2 Wannianchang Street Chenghua District Sichuan Province Chengdu City China Fuzhou Technology Innovation Center of intelligent Manufacturing information System Minjiang University Fuzhou University Town NO. 200 Xiyuangong Road Fuzhou China Fujian Province University No. 599 Quanxiu Road Juyuanzhou Ecological Civilization District Fujian Province Fuzhou City China College of Electronic Engineering Shandong University of Science and Technology No. 579 Qianwangang Road Huangdao District Qingdao China School of Mechanical and Automotive Engineering Fujian University of Technology No. 33 Xuefu South Road University New District Fujian Province Fuzhou City China

When EEG signals are used to assess the level of student engagement in online teaching tasks, they are often interfered by noise. It is a challenge to effectively remove these noises. Currently, deep learning methods have been applied to the field of EEG denoising. However, existing methods still have some problems. The denoised signals still have obvious noise residue, or the original EEG signals are damaged, and the model fitting speed is too slow. Image dehazing, as a typical denoising task in the field of image enhancement, has achieved great success in recent years. Therefore, inspired by advanced models in this field, we introduce CNN into EEG denoising tasks. In this paper, we take GCANet, an excellent image enhancement model, as an example. The dilated convolutions and gate fusion subnetworks included in GCANet enable more efficient EEG signal denoising. The results demonstrate that the proposed model effectively reduces noise while preserving essential features. Furthermore, in comparison to other state-of-the-art models, our proposed model exhibits enhanced robustness and faster convergence, as evidenced by achieving lower loss values after five epochs. Its good performance provides a new development idea for the field of EEG denoising. © 2023, Taiwan Ubiquitous Information CO LTD. All rights reserved.

关键词： Image enhancement

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Heat distribution in the deep drawing device components working by high temperatures

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IOP Conference Series: Materials Science and engineering 2018年第1期393卷

作者： M Tropp F Brumerčík J Šteininger P Weis A Glowacz Univerzity of Žilina Faculty of Mechanical Engineering Department of Design and Mechanical Elements Univerzitná 1 Žilina 010 26 Slovakia AGHUniversity of Science and Technology Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering Department of Automatic Control and Robotics Al. A. Mickiewicza 30 30-059 Kraków Poland

The subject of the article is a simulation of heat affected components of a device for deep drawing by extreme conditions in vacuum by high temperatures required for forming of crystallization containers made from thin molybdenum sheets. The simulation is focused on the distribution of heat in particular components in relation with their shape. There are presented the design of working components and the boundary conditions of transient thermal simulations with the results.

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Reading Retardation or Linguistic Deficit? III: a Further Examination of Response Strategies in a Reading Test Completed by Hearing‐impaired Children

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Journal of Research in Reading 1983年第1期6卷 19-28页

作者： Beggs, W.D.A. Breslaw, P.I. W.D. Alan Beggs is a Research Fellow now working in the Blind Mobility Research Unit within the Department of Psychology at Nottingham. He obtained his first degree in Psychology from Queens University Belfast and holds a PhD from the University of Nottingham. His interests and publications have covered perceptual illusions the control of voluntary movement information processing in reading eye movements in reading clumsiness and auditory spatial knowledge in the deaf. Dr Beggs' address is Blind Mobility Research Unit Department of Psychology University of Nottingham University Park Nottingham NG7 2RD UK. W.D.A. BEGGS Blind Mobility Research Unit Department of Psychology University of Nottingham University Park Nottingham NG7 2RD UK. P.I. BRESLAW Department of Psychology University of Nottingham University Park Nottingham NG7 2RD UK. Paul I. Breslaw was a Research Assistant in the Department of Psychology at the University of Nottingham for a number of years until 1981. During that period he contributed to research projects in the automatic generation of variables in computer controlled experiments the study of on-line techniques for eye-movement recording during reading problem solving and paced aiming and the development of communicative competence in deaf children. He holds a BSc from the University of Sussex and an MPhil from Nottingham. He has recently turned his attention exclusively to computer science and runs his own software consultancy for real time and robot applications in psychology and engineering. He may be contacted at the Department of Psychology University of Nottingham University Park Nottingham NG7 2RD UK.

Concludes that the measurement of reading ability in the deaf by the Picture Assisted Reading Test is hampered by the strategies used by students attempting to complete the test. (FL)

关键词： Hearing Impairments Language Processing Language Proficiency Reading Ability Reading Difficulties Reading Research Reading Tests Remedial Reading Response Style (Tests) Secondary Education Student Reaction Testing ProblemsReading Strategies Picture Assisted Reading Test

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An artificial vision solution for reusing discarded parts resulted after a manufacturing process

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IOP Conference Series: Materials Science and engineering 2016年第2期145卷

作者： V Cohal A Cohal Tehnical University 'Gh. Asachi' of Iaşi - Romania Faculty of Machine Manufacturing and Industrial Management Department of Machine Manufacturing Technology Blvd. Mangeron No. 59A 700050 Iasi Romania Tehnical University 'Gh. Asachi' of Iaşi - Romania Faculty of Automatic Control and Computer Engineering Department of Automatic Control and Applied Informatics Blvd. Mangeron No. 27 700050 Iasi Romania

The profit of a factory can be improved by reusing the discarded components produced. This paper is based on the case of a manufacturing process where rectangular metallic sheets of different sizes are produced. Using an artificial vision system, the shapes and the sizes of the produced parts can be determined. Those sheets which do not respect the requirements imposed are labeled as discarded. Instead of throwing these parts, a decision algorithm can analyze if another metallic sheet with smaller dimensions can be obtained from these. Two methods of decision are presented in this paper, considering the restriction that the sides of the new sheet has to be parallel with the axis of the coordinate system. The coordinates of each new part obtained from a discarded sheet are computed in order to be delivered to a milling machine. Details about implementing these algorithms (image processing and decision respectively) in the MATLAB environment using Image Processing Toolbox are given.

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Exergoeconomics in the sanitary-ware industry to reduce energy and water consumptions

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AIP Conference Proceedings 2019年第1期2190卷

作者： Carlos Cuviella-Suárez Jorge Juan Blanes Peiró David Borge-Diez Antonio Colmenar-Santos 1Department of Electrical Electronic and Control Engineering UNED. Juan del Rosal 12 – University City. 28040 Madrid – Spain 2Department of Electrical and Systems and Automatic Engineering. University of León School of Industrial and Computer Engineering Campus of Vegazana s/n 24071 León Spain

Ceramic sanitary-ware manufacturing is an industrial sector within the ceramic field that globally demands more than 100,000 TJ of primary energy and 21,000 dam3 of water per year. This research aims to quantify the reachable level of improvement within this industrial field by application of thermal engineering through the different thermal processes along the manufacturing line and the way to apply it to recover the water of the process and reduce the total consumption of primary energy. Advanced exergetic analysis has been the selected technique applied to all thermal sub-processes that comprise the overall process. The novelty of this research lays on the application of heat recovery through the different thermal processes to minimize the global consumption of both, energy and water for the specific field of the sanitary-ware manufacturing where no research has been approached in this regard. This research shows that 20% of the inlet exergy in a conventional factory is recoverable and the way to achieve it by an optimized factory which saves 3% of primary energy and 100% of the flushing water for molds.

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Design and capabilities of the Munich Cognitive Automobile

Design and capabilities of the Munich Cognitive Automobile

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IEEE Symposium on Intelligent Vehicle

作者： Matthias Goebl Matthias Althoff Martin Buss Georg Farber Falk Hecker Bernd Heissing Sven Kraus Robert Nagel Fernando Puente Leon Florian Rattei Martin Russ Michael Schweitzer Michael Thuy Cheng Wang Hans Joachim Wuensche Technische Universität München Institute for Real-Time Computer Systems München Germany Technische Universität München Institute for Automatic Control Engineering(LSR) München Germany Department of Aerospace Engineering LRT 13 University of Armed Forces Neubiberg Neubiberg Germany Technische Universität München Institute for vehicle technology 85748 Garching Germany Technische Universität München Institute for vehicle technology Garching Germany Lehrstuhl für Kommunikationsnetze Technische Universität München München Germany Fachgebiet Verteilte Messsysteme Technische Universität München München Germany

This paper presents the design of the cognitive automobile in Munich. The focus of the capabilities shown here is the navigation on highways and rural roads. The emphasis on higher speed requires early detection of far field objects, so a multi focal active vision with gaze control is essential. For increased robustness lidar range sensors are combined with vision using an object fusion approach. An elaborate safety concept and a verification stage ensure a safe behavior of the vehicle in all situations. A communication system enables the vehicle to perform cooperative perception and action together with similar intelligent vehicles.

关键词： Vehicles

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Preface

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Lecture Notes in computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2003年 2632卷 v页

作者： Fonseca, Carlos M. Fleming, Peter J. Zitzler, Eckart Deb, Kalyanmoy Thiele, Lothar University of the Algarve Centre for Intelligent Systems Campus de Gambelas Faro Portugal University of Sheffield Department of Automatic Control and Systems Engineering Mappin Street Sheffield United Kingdom Swiss Federal Institute of Technology Department of Electrical Engineering Computer Engineering and Networks Laboratory Gloriastrabe 35 Zurich Switzerland Indian Institute of Technology Department of Mechanical Engineering Kanpur Genetic Algorithms Laboratory Kanpur India

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