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E-Health and Bioengineering Conference

作者： Virginia Sandulescu Sally Andrews David Ellis Radu Dobrescu Oscar Martinez-Mozos Dept. of Automatic Control and Industrial Informatics Politehnica University of Bucharest Bucharest Romania Affiliation School of Social Sciences Nottingham Trent University Nottingham UK Affiliation Department of Psychology Lancaster University Lancaster UK Affiliation School of Computer Science University of Lincoln Lincoln UK

ISBN: (纸本)9781467375467

The paper describes the steps involved in designing and implementing a mobile app for real time monitoring of mental stress using voice features and machine learning techniques. The app is easy to use and completely non-invasive. It is called StressID and it is available in the Google Play store. With the use of a server application presenting a web interface, interested parties may remotely monitor the stress states detected by the mobile app, enlarging the number of use case scenarios.

关键词： stress SVM voice features mobile app

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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 5

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

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5th IEEE International Conference on Modern Electrical and Energy System, MEES 2023

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

ISBN: (纸本)9798350359787

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

关键词： Electric loads

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Hybrid heuristic and mathematical programming in oil pipelines networks

Hybrid heuristic and mathematical programming in oil pipelin...

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Congress on Evolutionary Computation

作者： J.M. de la Crnz García J.L. Risco Martín A. Herrán González P. Fernández Blanco Dept. of Computer Architecture and Automatic Control Universidad Complutense Madrid Spain C.E.S. Felipe II Ing. Téc. en Informática de Sistemas Aranjuez Spain Universidad Complutense Madrid Spain C.E.S. Felipe II Ing. Téc. en lnformática de Sistemas Aranjuez Spain

We solve the problem of the distribution of petroleum products through oil pipelines networks. This problem is modeled and solved using two techniques: A heuristic method, a multiobjective evolutionary algorithm and mathematical programming. In the multiobjective evolutionary algorithm, several objective functions are defined to express the goals of the solutions as well as the preferences among them. Some constraints are included as hard objective functions and some are evaluated through a repairing function to avoid infeasible solutions. In the mathematical programming approach the multiobjective optimization is solved using the constraint method in mixed integer linear programming. Some constraints of the mathematical model are nonlinear, so they are linearized. The results obtained with both methods for three concrete networks are presented. They are compared with a hybrid solution, where we use the results obtained by mathematical programming as the seed of the evolutionary algorithm.

关键词： Mathematical programming Intelligent networks Petroleum Pipelines Packaging Refining computer architecture automatic control Concrete Evolutionary computation

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An integrated multifunction DC/DC converter for PV generation systems

An integrated multifunction DC/DC converter for PV generatio...

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Lin Ma Kai Sun Remus Teodorescu Josep M. Guerrero Xinmin Jin Department of Energy Technology Aalborg University Aalborg Denmark School of Electrical Engineering Beijing Jiao Tong University Beijing China State Key Lab of Power Systems Tsinghua University Beijing China Dept. of Automatic Control Systems and Computer Engineering Universitat Politecnica de Catalunya Barcelona Spain

Due to the stochastic characteristic of photovoltaic (PV) generation, energy storage devices are indispensable to smooth the power flow and provide the electric energy with high quality. In this paper, an integrated DC/DC converter is proposed to realize high performance interfaces for PV array, battery and load. This converter consists of a boost converter for the PV array and a buck/boost converter for the battery, which can realize multifunction including power generation, charge and discharge. The grid-connected and stand-alone operation modes of this converter are analyzed. From this analysis, the control strategies are developed for both modes. A coordination scheme is proposed for the power balance at the stand-alone mode. Simulation and experiments verify the practical feasibility and effectiveness of this multi-function converter.

关键词： Batteries Arrays DC-DC power converters Voltage control Inverters Load flow

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Multi-level negative selection algorithm and its application to network intrusion detection

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Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University 2005年第4期39卷 582-584页

作者： Pan, Feng Ding, Yun-Fei Wang, Wei-Nong Dept. of Computer Science and Eng. Shanghai Jiaotong Univ. Shanghai 200030 China Dept. of Automatic Control and Systems Eng. Univ. of Sheffield Sheffield S102TN United Kingdom

This paper brought forward a new immune algorithm, multi-level negative selection algorithm. Compared with Forrest's negative selection algorithm, it enhances detector generation efficiency in essence. This algorithm integrates clonal selection process into negative selection process. Based on the analysis, this algorithm was applied to network intrusion detection and has a very good result.

关键词： Security of data

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Multi-agent based virtual learning environment. A socio-cultural approach

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WSEAS Transactions on Information Science and Applications 2007年第1期4卷 30-35页

作者： Moisil, Ioana Pah, Iulian Barbat, Boldur Popa, Emil Marin Faculty of Engineering Computer Science and Automatic Control Dept. Lucian Blaga University of Sibiu Blvd. Victoriei No. 10 Sibiu Romania Faculty of Sciences - Economic Informatics Lucian Blaga University of Sibiu Blvd. Victoriei No. 10 Sibiu Romania Faculty of Sociology and Social Work Babes-Bolyai University of Cluj Napoca Cluj Napoca Romania

In our paper we are proposing a complex model of the student (learner) in a virtual educational environment, supported by a multi-agent system. The whole system is centered on the student and it mainly takes into account Vygotsky's socio-cultural theory that states that social interaction plays a fundamental role in the development of cognition. The model is part of a larger project - DANTE - Socio-Cultural Models implemented through multi-agent architecture for e-learning - that has as main objective the development of a student centred framework for the virtual educational universe that facilitates collaborative learning. The virtual educational world is inhabited by agents: human agents and artificial agents that interact. Agents can be mediating agents, semiotic agents or social agents;they can be intelligent software entities or simple ones, like interface agents.

关键词： Multi agent systems

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Multiagent reinforcement learning based on negotiation in general-sum games

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Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University 2005年第SUPPL.期39卷 108-112页

作者： Zhang, Hua-Xiang Zhao, Tong Huang, Shang-Teng Information and Management School Shandong Normal Univ. Ji'nan 250014 China Dept. of Automatic Control Qingdao Univ. of Science and Technology Qingdao 266061 China Dept. of Computer Science and Eng. Shanghai Jiaotong Univ. Shanghai 200030 China

In general-sum games, multiagent cooperation has no global objective, and only individual rationality is concerned. Agent's learning is based on the assumption of opponents' policies, and this assumption may be wrong. By defining the global objective of agents, a novel multiagent reinforcement learning algorithm was proposed. All agents selected negotiated policies during learning, and punished those agents deviating from negotiated policies to ensure the execution of these policies. It was proved that the learned Q values on each stage games converge under certain restrictions. An example was given to analyze the proven result.

关键词： Multi agent systems

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Modelling and Identification with Rational Orthogonal Basis Functions

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IFAC Proceedings Volumes 2000年第15期33卷 445-455页

作者： Paul Van den Hof Bo Wahlberg Peter Heuberger Brett Ninness Jozsef Bokor Tomás Oliveira e Silva Department of Applied Physics Delft University of Technology Lorentzweg 1 2628 CJ Delft The Netherlands S3 - Automatic Control Royal Institute of Technology S-100 44 Stockholm Sweden. Department of Electrical and Computer Engineering The University of Newcastle Callaghan NSW 2308 Australia. Computer and Automation Research Institute Hungarian Academy of Sciences Kende u. 13-17 H-1502 Budapest Hungary Dept. Electrónica e Telecommunicações University of Aveiro 3810-183 Aveiro Portugal

Decomposing dynamical systems in terms of orthogonal expansions enables the modelling/approximation of a system with a finite length expansion. By flexibly tuning the basis functions to underlying system characteristics, the rate of convergence of these expansions can be drastically increased, leading to highly accurate models (small bias) being represented by few parameters (small variance). Additionally algorithmic and numerical aspects are favourable. A recently developed general theory for basis construction will be presented, that is a generalization of the classical Laguerre theory. The basis functions are applied in problems of identification, approximation, realization, uncertainty modelling, and adaptive filtering, particularly exploiting the property that basis function models are linearly parametrized. Besides powerful algorithms, they also provide useful analysis tools for understanding the underlying identification/approximation algorithms.

关键词： System identification orthogonal basis functions series expansions model reduction parametrization

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Optimization of Neural Networks using Swarm Intelligence Techniques for Achieving Energy Efficiency in Smart Building architecture

Optimization of Neural Networks using Swarm Intelligence Tec...

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Cognitive Robotics and Intelligent Systems (ICC - ROBINS), International Conference on

作者： M. Karthick Raja Makhbuba Shermatova Mohammed Saleh Al Ansari Shokhjakhon Abdufattokhov Vuda Sreenivasa Rao I. Infant Raj Department of Computer Science and Engineering Sri Eshwar College of Engineering Coimbatore Civil Engineering and Architecture Department Turin Polytechnic University in Tashkent Tashkent Uzbekistan College of Engineering Department of Chemical Engineering University of Bahrain Bahrain Automatic Control and Computer Engineering Dept Turin Polytechnic University Dept of Information Technologies Tashkent Intl. University of Education Tashkent Uzbekistan Department of Computer Science and Engineering Koneru Lakshmaiah Education Fou. Green Fields Vaddeswaram A.P India Department of Computer Science and Engineering K. Ramakrishnan College of Engineering Trichy Tamil Nadu India

ISBN: (数字)9798350372748

ISBN: (纸本)9798350372755

The increasing prevalence of smart building architectures, driven by the integration of Internet of Things (IoT) devices and automation systems, has led to a surge in energy consumption. This research explores the application of swarm intelligence techniques as an innovative approach to optimize neural networks, aiming to strike a balance between maintaining the desired performance levels and minimizing energy consumption. The study investigates the integration of swarm-based optimization algorithms, such as Particle Swarm Optimization (PSO) into the training and operation of neural networks. These algorithms enable the networks to dynamically adapt and optimize their parameters in response to changing environmental conditions and user requirements. The research focuses on developing a comprehensive framework that considers the specific challenges posed by smart building architectures, including real-time data processing, sensor integration, and adaptive control. The proposed approach aims to achieve optimal neural network configurations that minimize energy consumption while ensuring reliable and responsive operation of smart building systems. The results demonstrate the potential of swarm intelligence to significantly improve the energy efficiency of neural network-enabled smart building architectures, providing a promising avenue for sustainable and intelligent infrastructure. The proposed model has an accuracy of 98.23% which is 7.64% higher than that of the traditional approaches.

关键词： Training Energy consumption Smart buildings architecture Heuristic algorithms Neural networks Energy efficiency

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Modeling Demand for Inventory Management of Slow-Moving Items in Case of Reporting Errors

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IFAC Proceedings Volumes 2004年第4期37卷 27-32页

作者： Alexandre Dolgui Anatoly Pashkevich Maxim Pashkevich Scientific Methods for Industrial Management Dept. (MSGI) Industrial Engineering and Computer Sciences Center (G2I) Ecole de Mines de Saint Etienne 158 Cours Fauriel 42023 Saint Etienne France Robotic Laboratory Department of Automatic Control Belarusian State University of Informatics and Radioelectronics 6 P.Brovka St. Minsk 220027 Belarus Department of Mathematical Modeling and Data Analysis Faculty of Applied Mathematics and Computer Science Belarusian State University Skarina Av. 4 Minsk 220050 Belarus

The paper is devoted to the problem of modeling demand for inventory management of slow-moving items in the case of reporting errors. It is proposed a generalization of the beta-binomial demand model that takes into account possible reporting errors in the learning sample. For the new model, there are developed identification and forecasting algorithms that provide consistent estimators of the model parameters and mean square optimal forecasts. The efficiency of the proposed approach is illustrated by an application example for slow-moving car parts.

关键词： inventory control error correction statistical inference parameter estimation prediction methods

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