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SSRN 2023年

作者： Langner, Felix Wang, Weimin Frahm, Moritz Hagenmeyer, Veit Energy Production and Infrastructure Center University of North Carolina at Charlotte CharlotteNC28223 United States Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Eggenstein-Leopoldshafen76344 Germany Department of Engineering Technology University of North Carolina at Charlotte CharlotteNC28223 United States

Forecast uncertainties pose a considerable challenge to model predictive controllers (MPCs) in buildings. Numerous possibilities for considering forecast uncertainties in MPCs are available, but an in-depth comparison between those is still lacking. The present paper compares two main approaches to consider uncertainties: robust and stochastic MPC. They are benchmarked against a deterministic MPC and an MPC that perfectly predicts the future. The MPCs utilize a holistic building model to reflect modern smart homes, including photovoltaic power generation and storage, thermally controlled loads, and smart appliances. Real-world data is used to identify the thermal building model. The performance of the various controllers is investigated under three different uncertainty scenarios. The results show that the stochastic MPC performs superior to the robust and deterministic MPC. However, the deterministic MPC yields sufficiently satisfying results for our holistic building model and it is easier to be implemented. © 2023, The Authors. All rights reserved.

关键词： Energy efficiency

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Vulnerability of smart iot-based automation and control devices to cyber attacks 9th

Vulnerability of smart iot-based automation and control devi...

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9th Computer Science On-line Conference, CSOC 2020

作者： Horák, Tibor Šimon, Marek Huraj, Ladislav Budjač, Roman Institute of Applied Informatics Automation and Mechatronics Faculty of Materials Science and Technology in Trnava Slovak University of Technology in Bratislava Trnava Slovakia Department of Applied Informatics University of SS. Cyril and Methodius Trnava Slovakia

ISBN: (纸本)9783030519735

In modern industrial enterprises, safety always comes first. Regardless of whether it is safety against weather conditions such as fires, floods, or it is securing the building from the intrusion of unwanted person. With these sensors, these services can also provide IoT smart security devices. In the connected world of Industry 4.0, there are way too many opportunities to take control of such devices, and so with a help of a cyber attack, computer attackers would be able, in two ways, to make the device impossible to operate. The first way is to manipulate the device, disable alarm sensors, and steal the data. The second way is to misuse the device for attacking another in a reflected way. The article illustrates the possibility of how the safety sensors can be disabled, and how this safety device can be used to attack another IoT device - the thermostat. Finally, the case study demonstrates inability of IoT-based automation and control device to send alarm notifications when a threat is detected by its sensors during the DDoS attacks. © Springer Nature Switzerland AG 2020.

关键词： Accident prevention

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The Analysis of EEG Signal and Comparison of Classification Algorithms Using Machine Learning Methods 4th

The Analysis of EEG Signal and Comparison of Classification ...

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4th Computational Methods in Systems and Software, CoMeSySo 2020

作者： Nemethova, Andrea Borkin, Dmitrii Nemeth, Martin Institute of Applied Informatics Automation and Mechatronics Slovak University of Technology in Bratislava Faculty of Materials Science and Technology in Trnava Bratislava Slovakia

ISBN: (纸本)9783030633219

In this paper we present comparison of classification models on EEG dataset to recognize the possibility of difference between right-handed and left-handed subjects. The research come out from the hypothesis, that it is possible to differentiate between different states of mind for left and right-handed people based on their EEG signal. In our research, there were used several machine learning methods like K-neighbors, support vector machines and decision tree classifier. These methods were explored to seek the difference between EEG signal of subjects using signal processing. The EEG data were obtained during reading various particular text samples with different meanings and from different areas. First chapters of this paper are devoted to the description of the experiment and data analysis with EEG signal processing. The final parts of the paper are evaluating our hypothesis from the previous parts of this paper with the use of various machine learning methods. We found correlations between left-handed people during reading the text samples. The correlations were significant while reading horror text sample. © 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Classification (of information)

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Simulation-Based Metrological Temperature Ensuring and Control of the Temperature Field in an Induction Furnace Based on Various Parameters

Simulation-Based Metrological Temperature Ensuring and Contr...

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International Conference on Computer and automation Engineering, ICCAE

作者： Jan Rybář Samuel Emebu Sayed Yousuf Sayed Sohaibullah Zarghoon Lukáš Bartalský Peter Onderčo Andrej Smetánka Radek Matušů Faculty of Mechanical Engineering Institute of Automation Informatization and Measurement Slovak University of Technology Bratislava Slovakia Department of Separation Science LUT School of Engineering Science Lappeenranta-Lahti University of Technology Lappeenranta Finland Department of Auto mechanical Engineering Faculty of Electro-Mechanic Kabul Polytechnic University Kabul Afghanistan Department of Automation and Control Engineering Faculty of Applied Informatics Tomas Bata University in Zlín Zlín Czech Republic

ISBN: (数字)9798331533816

ISBN: (纸本)9798331533823

Induction heating is widely used in industrial furnaces because of its rapid response time and high energy efficiency. To design and optimize these furnaces, computer-aided simulations are essential. This study aims to develop an accurate temperature field model for a square cross-section steel billet in an induction furnace by leveraging various parameters in COMSOL Multiphysics software. The simulation analysis incorporated temperature dynamics, considering skin depth, temperaturedependent, and constant parameters of the steel billet. The datadriven model was converted into a state-space representation utilizing MATLAB's System Identification Toolbox. This conversion facilitated the design of a Linear Quadratic Regulator (LQR) with integral gain and pole placement. Further, these controllers' performance was analyzed, and controllers were successfully implemented to regulate the temperature field of the billet from initial temperature to reference temperature, utilizing the distributed parameter system control circuit.

关键词： Billets Analytical models Temperature Accuracy Computational modeling Furnaces Mathematical models Temperature control Steel Induction heating

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Applying evolutionary algorithms successfully a guide gained from real-world applications

arXiv

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arXiv 2021年

作者： Jakob, Wilfried Karlsruhe Institute of Technology Institute for Automation and Applied Informatics Hermann-von-Helmholtz-Platz 1 Eggenstein-Leopoldshafen76344 Germany

Metaheuristics (MHs) in general and Evolutionary Algorithms (EAs) in particular are well known tools for successful optimization of difficult problems. But when is their application meaningful and how does one approach such a project as a novice? How do you avoid beginner's mistakes or use the design possibilities of a metaheuristic search as efficiently as possible? This paper tries to give answers to these questions based on 30 years of research and application of the Evolutionary Algorithm GLEAM and its memetic extension HyGLEAM. Most of the experience gathered and discussed here can also be applied to the use of other metaheuristics such as ant algorithms or particle swarm optimization. This paper addresses users with basic knowledge of MHs in general and EAs in particular who want to apply them in an optimization project. For this purpose, a number of questions that arise in the course of such a project are addressed. At the end, some non-technical project management issues are discussed, whose importance for project success is often underestimated. © 2021, CC BY-SA.

关键词： Global optimization

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Concepts for automated machine learning in smart grid applications

arXiv

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arXiv 2021年

作者： Meisenbacher, Stefan Pinter, Janik Martin, Tim Hagenmeyer, Veit Mikut, Ralf Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Hermann-von-Helmholtz-Platz 1 Eggenstein-Leopoldshafen76344 Germany

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BMEAUT at SemEval-2020 Task 2: Lexical entailment with semantic graphs 14

BMEAUT at SemEval-2020 Task 2: Lexical entailment with seman...

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14th International Workshops on Semantic Evaluation, SemEval 2020

作者： Kovács, Ádám Gémes, Kinga Kornai, Andras Recski, Gábor Dept. of Automation and Applied Informatics Budapest University of Technology and Economics Hungary SZTAKI Institute of Computer Science TU Wien Austria

ISBN: (纸本)9781952148316

In this paper we present a novel rule-based, language independent method for determining lexical entailment relations using semantic representations built from Wiktionary definitions. Combined with a simple WordNet-based method our system achieves top scores on the English and Italian datasets of the Semeval-2020 task "Predicting Multilingual and Cross-lingual (graded) Lexical Entailment" (Glavaš et al., 2020). A detailed error analysis of our output uncovers future directions for improving both the semantic parsing method and the inference process on semantic graphs. reported in this document. © 2020 14th International Workshops on Semantic Evaluation, SemEval 2020 - co-located 28th International Conference on Computational Linguistics, COLING 2020, Proceedings. All rights reserved.

关键词： Semantics

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Robust k-means method based on minimizing differentiable estimates of mean, insensitive to outliers 6

Robust k-means method based on minimizing differentiable est...

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6th International Conference Information Technology and Nanotechnology. Session Data Science, ITNT-DS 2020

作者： Shibzukhov, Zaur Kazakov, Mukhamed Dimitrichenko, Dmitriy Institute Mathematics and Informatics Moscow Pedagogical State Univercity and Vnii Go Chs Moscow Russia Institute of Applied Mathematics and Automation Kabardino-Balkarian Scientific Center Ras Nalchik Russia Institute of Applied Mathematics and Automation Kabardino-Balkarian Scientific Center Ras Nalchik Russia

The article presents a new approach to the problem of searching for cluster centers, based on minimizing differentiable estimates of the average value, insensitive to outliers. It is at the level of the initial mathematical formulation of the problem to lay the stability of the solution with respect to outliers in the data. The search for cluster centers is carried out using the Mahalanobis distance. The proposed algorithm is based on an iterative reweighting scheme. At each step, the problem of searching for cluster centers based on an algorithm with weights of examples is solved. The weights of the examples correspond to the values of the partial derivatives of a function that estimates the average value and is insensitive to outliers. The weights obtained in this way suppress the effect of emissions. Copyright © 2020 for this paper by its authors.

关键词： Iterative methods

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Departure Counting Process in a Finite-Buffer Queue with Batch Arrivals and Multiple Vacation Policy

SSRN

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SSRN 2024年

作者： Marjasz, Rafal Kempa, Wojciech M. Kovtun, Viacheslav Institute of Theoretical and Applied Informatics Polish Academy of Sciences 5 Baltycka Str. Gliwice44-100 Poland Silesian University of Technology Faculty of Applied Mathematics 23 Kaszubska Str. Gliwice44-100 Poland Vinnytsia National Technical University Faculty of Intelligent Information Technologies and Automation Department of Computer Control Systems 95 Khmelnitske Shose Str. Vinnytsia21000 Ukraine

The study investigates the departure counting process in a finite-buffer queueing system with batch arrivals and multiple vacation policy. A representation for the mixed double transform of the number of departures up to the fixed time moment is obtained in the explicit form applying analytic approach based on integral equations and linear algebra. Numerical study is attached that focuses on understanding the impact of various system parameters on the behaviour of the mean number of packets processed within a fixed time frame. Utilizing numerical experiments, the study examines the influence of vacation duration, initial buffer state, arrival intensity, and processing rate on the departure process. Results reveal significant dependencies between these parameters and the transient behaviour of the queueing system. Notably, the service speed parameter demonstrates the most substantial influence on the mean number of processed packets, followed by the arrival rate. Conversely, variations in vacation duration and initial packet count exhibit comparatively minor effects on system behaviour. Overall, the findings provide valuable insights into the dynamics of departure processes in finite-buffer queue systems with batch arrivals and multiple vacation policies, offering implications for system optimization and performance enhancement strategies. © 2024, The Authors. All rights reserved.

关键词： Integral equations

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The Analysis of EEG Signal and Finding Correlations Between Right-Handed and Left-Handed People 4th

The Analysis of EEG Signal and Finding Correlations Between ...

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4th Computational Methods in Systems and Software, CoMeSySo 2020

作者： Nemeth, Martin Nemethova, Andrea Borkin, Dmitrii Faculty of Materials Science and Technology in Trnava Slovak University of Technology in Bratislava Trnava Slovakia Institute of Applied Informatics Automation and Mechatronics Trnava Slovakia

ISBN: (纸本)9783030633219

This paper covers the initial research and analysis of the EEG signal for the purpose of designing a neural interface for identification of the mental state. Such neural interface can be beneficial in various fields of automation and industry and can also potentially serve as a safety feature for safety critical processes. In the first section of this paper we discuss the performed experiment and also the technical means for the EEG data acquisition. In following chapter, we are describing the data itself and we are also performing the basic data analysis as well as the correlation identification. Final part of this paper we are evaluating our hypothesis to finding correlations in the dataset. © 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Data acquisition

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