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American control Conference

作者： Christos D. Korkas Simone Baldi Iakovos Michailidis Elias B. Kosmatopoulos Dept. of Electrical and Computer Engineering Democritus University of Thrace Xanthi 67100 Greece Delft Center for Systems and Control Delft University of Technology Delft 2628CD The Netherlands Informatics & Telematics Institute Center for Research and Technology Hellas (ITI-CERTH) Thessaloniki 57001 Greece

ISBN: (纸本)9781479917730

The demand-side energy management of microgrids comprising of buildings of heterogeneous nature (residential, commercial, industrial, etc.) and thus exhibiting heterogeneous occupancy pattern, requires the development of appropriate energy management systems (EMSs) that can integrate the maximum exploitation of the distributed energy resources like photovoltaic panels with the thermal comfort of the occupants. This paper presents a simulation-based optimization approach for the design of an EMS in grid-connected photovoltaic-equipped microgrids with heterogeneous buildings and occupancy schedules. The EMS optimizes a multi-objective criterion that takes into account both the energy cost and the thermal comfort of the aggregate microgrid. A three-building microgrid test case is used to demonstrate the effectiveness of the proposed approach: comparisons with alternative rule-based and optimization-based EMSs show that the proposed EMS strategy exploits the occupancy information to automatically change the energy demand of each building, resulting in improved energy cost and thermal comfort.

关键词： Energy management THERMAL COMFORT Energy costs MICRO-GRID Vehicle Occupancy multi-objective control Buildings control strategy distributed energy resources Optimal design

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Evaluations of Different Simultaneous Localization and Mapping (SLAM) Algorithms

Evaluations of Different Simultaneous Localization and Mappi...

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Annual Conference on IEEE Industrial Electronics Society

作者： Gurkan Tuna Kayhan Gulez V. Cagri Gungor T. Veli Mumcu Trakya University Department of Computer Programming Yildiz Technical University Electrical-Electronics Faculty Control and Automation Eng. Dept. Bahcesehir University Faculty of Engineering Department of Computer Engineering

ISBN: (纸本)9781467324199

Simultaneous Localization and Mapping (SLAM) algorithms with multiple autonomous robots have received considerable attention in recent years. In general, SLAM algorithms use odometry information and measurements from exteroceptive sensors of robots. The accuracy of these measurements and the performance of the corresponding SLAM algorithm directly affect the overall success of the system. This paper presents comparative performance evaluations of three Simultaneous Localization and Mapping (SLAM) algorithms using Extended Kalman Filter (EKF), Compressed Extended Kalman Filter (CEKF) and Unscented Kalman Filter (UKF). Specifically, it focuses on their SLAM performances and processing time requirements. To show the effect of CPU power on the processing time of SLAM algorithms, two notebooks and a netbook with different specifications have been used. Comparative simulation results show that processing time requirements are consistent with the computational complexities of SLAM algorithms. The results we obtained are consistent with the CPU power tests of independent organizations and show that higher processing power decreases processing time accordingly. The results also show that CEKF is more suitable for outdoor SLAM applications where there are a lot of natural and artificial features.

关键词： Simultaneous localization and mapping Navigation Visualization Power measurement Estimation MONOS devices

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Verification code recognition based on active and deep learning

arXiv

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arXiv 2019年

作者： Xu, Dongliang Wang, Bailing Du, XiaoJiang Zhu, Xiaoyan Guan, Zhitao Yu, Xiaoyan Liu, Jingyu School of Computer Science and Technology Shandong University Weihai China School of Computer Science and Technology Harbin Institute of Technology Weihai China Department of Computer and Information Sciences Temple University PhiladelphiaPA United States Computer information center Xidian University Xi'an China School of Control and Computer Engineering North China Electric Power University Beijing China Dept. of Computer Science and Technology Capital Normal University Beijing China Computer information center Intermediate People's Court Weihai China

A verification code is an automated test method used to distinguish between humans and computers. Humans can easily identify verification codes, whereas machines cannot. With the development of convolutional neural networks, automatically recognizing a verification code is now possible for machines. However, the advantages of convolutional neural networks depend on the data used by the training classifier, particularly the size of the training set. Therefore, identifying a verification code using a convolutional neural network is difficult when training data are insufficient. This study proposes an active and deep learning strategy to obtain new training data on a special verification code set without manual intervention. A feature learning model for a scene with less training data is presented in this work, and the verification code is identified by the designed convolutional neural network. Experiments show that the method can considerably improve the recognition accuracy of a neural network when the amount of initial training data is small. Copyright © 2019, The Authors. All rights reserved.

关键词： Testing

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BOTQUAS: Blockchain-based Solutions for Trustworthy Data Sharing in Sustainable and Circular Economy

BOTQUAS: Blockchain-based Solutions for Trustworthy Data Sha...

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Euromicro Conference on Software engineering and Advanced Applications (SEAA)

作者： Alberto Amico Vincenzo Apicella Devis Bianchini Alberto Butera Matteo Cesana Gabriele Digregorio Massimiliano Garda Valentina Gatteschi Corrado Innamorati Francesco Leotta Stefano Longari Maria Rosa Pizzo Pierluigi Plebani Noemi Romani Letizia Tanca Andrea Vitaletti Stefano Zanero Italtel S.p.A. Palermo Italy Italtel S.p.A. Milano Italy Dept. of Information Engineering University of Brescia Brescia Italy Politecnico di Torino Dip. di Automatica e Informatica Torino Italy Politecnico di Milano Dip. Elettronica Informazione e Bioingegneria Milan Italy Dept. of Computer Control and Management Engineering Sapienza Universita di Roma Rome Italy

ISBN: (数字)9798350380262

ISBN: (纸本)9798350380279

Monitoring business processes within complex supply chains demands efficient data collection and analytics tailored to diverse phenomena. Traditional centralized solutions face limitations in adapting to the dynamic nature of supply chains. This calls for distributed solutions which break the usual architectural assumption to have a central entity in charge of collecting, integrating and offering tools for the analysis. This project, embedded in a larger initiative called MICS, proposes an inno-vative distributed monitoring solution integrating blockchain for a trustworthy and efficient data analytics strategy that preserves data sovereignty in complex collaborative environments. Leveraging the cloud -edge continuum, the solution aims to ensure secure data exchange, adherence to agreements, and real-time analytics. Expected outcomes include an innovative federated architecture, 5G slice management solutions, an adversarial analysis of supply chain security, and a proof-of-concept implementation of the blockchain-based data flow tracking system. These developments aim to enhance the reliability, security, and efficiency of supply chain monitoring in dynamic industrial environments.

关键词： Microwave integrated circuits Data analysis Supply chains Data collection Real-time systems Software reliability Security Monitoring Faces Software engineering

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Synthetic aperture radar segmentation using wavelets and fractals

Synthetic aperture radar segmentation using wavelets and fra...

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IEEE International Conference on Systems engineering

作者： Rogers Ruck Tarr Kabrisky Brickey Meer L'Homme Smiley Hazlett Willey Department of Electrical and Computer Engineering Air Force Institute of Technology OH USA Dept. of Electr. & Comput. Eng. Air Force Inst. of Technol. Wright-Patterson AFB OH USA Aeronautical Systems Division Wright Laboratories Automatic Target Recognition Technology (WL/AARA) OH USA

It is shown that fractal dimension estimates and Gabor wavelet coefficients are valid features of segmenting high-resolution polarimetric synthetic aperture radar imagery. Results of training a radial basis function neural network using fractal dimension features, Gabor wavelet coefficients, and a combination of both fractal and Gabor wavelet features are presented. Current research into combining these two techniques both theoretically and empirically is presented. One-foot resolution polarimetric synthetic aperture radar imagery is successfully segmented into culture, tree, field, and shadow regions.< >

关键词： Fractals Neural networks Image processing Radar

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Integrated Time-Optimal Trajectory Planning and control Design for Industrial Robot Manipulator

Integrated Time-Optimal Trajectory Planning and Control Desi...

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IEEE/RSJ International Conference on Intelligent Robots and Systems

作者： Stepan S. Pchelkin Anton S. Shiriaev Anders Robertsson Leonid B. Freidovich Department of Engineering Cybernetics Norwegian University of Science and Technology NO-7491 Trondheim Norway. Department of Applied Physics and Electronics Ume? University SE-901 87 Ume? Sweden. Dept. of Automatic Control Lund University SE-221 00 Lund Sweden and is member of the LCCC Linnaeus Center and the ELLIIT Excellence Center at Lund University.

ISBN: (纸本)9781467363563

We consider planning and implementation of fast motions for industrial manipulators constrained to a given geometric path. With such a problem formulation, which is quite reasonable for many standard operation scenarios, it is intuitively clear that a feedback controller should be designed to achieve orbital stabilization of a time-optimal trajectory instead asymptotic. We propose an algorithm to convert an asymptotically stabilizing controller into an orbitally stabilizing one and check achievable performance in simulations and, more importantly, in experiments performed on a standard industrial robot ABB IRB 140 with the IRC5-system extended with an open control interface. It is verified that the proposed re-design allows significantly reduced deviations of the actual trajectories from the desired one at high speeds not only for a chosen base feedback design but also outperforming the state-of-the-art commercial implementation offered by ABB Robotics.

关键词： Motion and trajectory planning with constraints Orbital stabilization Time optimal control Industrial manipulators

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Study of the Shock Loads Effect on the Operation of Multi-Motor Electric Drives of a Rolling Mill with a Second-order Elastic Coupling

Study of the Shock Loads Effect on the Operation of Multi-Mo...

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International Conference on Modern Electrical and Energy Systems (MEES)

作者： Valerii Tytiuk Alexey Kalinin Valeriy Druzhinin Vitalii Kuznetsov Oleksii Chornyi Victor Busher Department of Electromechanics Kryvyi Rih National University Kryvyi Rih Ukraine Department of Informative Computer Systems Abylkas Saginov Karaganda Technical University NPJSC Karaganda The Republic of Kazakhstan Department of Power Engineering Karaganda Industrial University NPJSC Temirtau The Republic of Kazakhstan Department of the Electrical Engineering Ukrainian State University of Science and Technologies Dnipro Ukraine Institute of Electromechanics Energy Saving and Automatic Control Systems Kremenchuk Mykhailo Ostrogradskyi National University Kremenchuk Ukraine Dept. of Electrical Engineering and Electronics National University "Odessa Maritime Academy" Odessa Ukraine

This paper presents a study for optimizing a hot rolling mill. The paper is devoted to the study of ways to reduce the effect of shock loads of synchronous electric drives of the roughing mill group on the relative lengthening of the metal strip in the inter-stand gap of the rolling stands of the finishing mill group. The elasticity of the metal strip in the inter-stand gap of the rolling mill has a significant impact on the movement of intercoupled multi-motor electric drives of the finishing mill group. Another crucial route of exposure that influences the motion of the electric drives within the finishing mill group involves the electromagnetic connection between the drives in the roughing and finishing mill groups. The impact of the electromagnetically connected circuits is evident through the effect of shock loads from synchronous electric drives on the angular velocity of the direct current electric drives within the finishing mill group. The characteristics of the electromagnetic communication circuit are established by the power grid arrangement and equipment specifications. To assess the quality of work of electric drives of the finishing mill group, it is proposed to use the relative lengthening of the metal strip in the inter-stand gap, which is an important indirect indicator of the quality of rolling. The mathematical model of a hot rolling mill that takes into account both the elasticity of the metal strip that connects the DC electric drives of the finishing group, and the electromagnetic coupling circuit that takes into account the impact loads of synchronous electric drives of the roughing group on the example of the mill 1700 of ArcelorMittal Temirtau JSC was proposed in this paper. Using the mathematical model developed in Simulink software using the methods of planning the experiment, regression models were obtained to establish the dependence of the parameters of overexcitation of a synchronous motor on the magnitude of the voltage sag in the no

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Electro-thermal simulations to improve heater design in preconcentration membranes

Electro-thermal simulations to improve heater design in prec...

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International Workshop on Thermal Investigation of ICs and Systems (THERMINIC)

作者： R. Inglés J. Pallares I. Gràcia A. M Gué J. L. Ramirez Dept. of Electronic Electrical and Automatic Control Engineering Universitat Rovira i Virgili Tarragona Spain Department of Mechanical Engineering Universitat Rovira i Virgili Tarragona Spain Centro Nacional de Microelectronica CNM-CSIC Bellaterra Spain Centro Nacional de Microelectronica CNM-CSIC Bellaterra Bellaterra Spain Laboratoirc d'analyse et arquitecture des systemes (LAAS) CNRS Toulouse France

We have developed electro-thermal 3D transient simulations in order to design an optimized heater for preconcentration membranes. An evaluation of parameters of simulation and boundary conditions have been done. We ha... 详细信息

关键词： Biomembranes Resistance heating Resistance Temperature measurement Atmospheric modeling

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Hybrid discrete event simulation with model predictive control for semiconductor supply-chain manufacturing

Hybrid discrete event simulation with model predictive contr...

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Simulation Winter Conference

作者： H.S. Sarjoughian Dongping Huang G.W. Godding Wenlin Wang D.E. Rivera K.G. Kempf H.D. Mittelmann Arizona Center for Integrative Modeling & Simulation Computer Science & Engineering Department Arizona State University Tempe AZ USA Control Systems Engineering Laboratory Chemical & Materials Engineering Department Arizona State University Tempe AZ USA Decision Technologies Intel Corporation Chandler AZ USA Mathematics & Statistic Dept. Arizona State University Tempe AZ USA

Simulation modeling combined with decision control can offer important benefits for analysis, design, and operation of semiconductor supply-chain network systems. Detailed simulation of physical processes provides information for its controller to account for (expected) stochasticity present in the manufacturing processes. In turn, the controller can provide (near) optimal decisions for the operation of the processes and thus handle uncertainty in customer demands. In this paper, we describe an environment that synthesizes discrete-event system specification (DEVS) with model predictive control (MPC) paradigms using a knowledge interchange broker (KIB). This environment uses the KIB to compose discrete event simulation and model predictive control models. This approach to composability affords flexibility for studying semiconductor supply-chain manufacturing at varying levels of detail. We describe a hybrid DEVS/MPC environments via a knowledge interchange broker. We conclude with a comparison of this work with another that employs the Simulink/MATLAB environment.

关键词： Discrete event simulation Predictive models Predictive control Virtual manufacturing Semiconductor device manufacture Mathematical model Analytical models Manufacturing processes Optimal control Uncertainty

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Novel Design of Interactive Caption and Recognition Postures within the Wearable and Non-Vision System over Wireless Sensor Network

Novel Design of Interactive Caption and Recognition Postures...

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International Conference on Complex, Intelligent and Software Intensive Systems, CISIS

作者： W.T. Huang Chao-Nan Hung Chiu-Ching Tuan Chin-Hsing Chen Yuan-Jen Chang You-Yin Chen Department of Computer Science and Information Engineering Minghsin University of Science and Technology Taiwan R.O.C. Department of Graduate Institute of Computer and Communication Engineering National Taipei University of Technology Taiwan Department of Management Information Systems Central Taiwan University of Science and Technology Taiwan Dept. of Electr. & Control Eng. Nat. Chiao Tung Univ. Hsinchu Taiwan

In this study, we design and present the novel wearable system with the interactive posture caption and recognition functions based on the non-vision over the ZigBee wireless sensor network (ZigBee-WSN). There are two type sensors, 3-axis accelerometer and clip type, to be employed in our wearable system. These sensors are arranged on user's four limbs such that the posture information can be gathered by them. Then, the posture information is transmitted to the data-controlling center over ZigBee-WSN. Finally, this center can analyze and distinguish various postures by our proposed algorithm through the friend user's interface to express. Our presented wearable system can distinguish out 28 kinds of hand postures and 13 kinds of leg postures altogether. Moreover, under our presented ZigBee-WSN system with small size, low-power consumption, and high-reliability characteristics, the data-controlling center can simultaneously tele-monitor the real-time body interactive postures of 8 persons, when the transmitting distance is less than 18 M and the package correct transmitted rate is more than 97.5%.

关键词： Wireless sensor networks Wearable sensors ZigBee Sensor systems Accelerometers Algorithm design and analysis User interfaces Leg Real time systems Packaging

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