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SSRN 2022年

作者： Hussain, Dilawar Asghar, Zaheer Zeeshan, Ahmed Alsulami, Hamed Band, Shahab S. Mosavi, Amir Department of Mathematics & Statistics FBAS International Islamic University Islamabad IslamabadH-10 Pakistan Centre for Mathematical Sciences Pakistan Institute of Engineering and Applied Sciences Nilore Islamabad45650 Pakistan Centre for Physics and Applied Mathematics Pakistan Institute of Engineering and Applied Sciences Nilore Islamabad45650 Pakistan -Research Group Department of Mathematics Faculty of Science King Abdulaziz University P.O. Box 80203 Jeddah21589 Saudi Arabia Future Technology Research Center National Yunlin University of Science and Technology Yunlin Douliou64002 Taiwan John von Neumann Faculty of Informatics Obuda University Budapest Hungary Institute of Information Engineering Automation and Mathematics Slovak University of Technology in Bratislava Bratislava Slovakia

In this communication, authors ambition is to investigate the sensitivity of heat flux at solid liquid interface of Falkner-Skan (FS) flow of Casson fluid on a moving wedge. Alongside, authors intended to develop an empirical model in terms of involving parameters. Sensitivity analysis is an essential toll in engineering and manufacturer process to examine the effect of different input factors and reduces the experimental cost and save valuable time. The FS flow in this case is observed under the influence of induced magnetic field. The mathematical model of the flow experiments are adopted from El-Dabe et al. [1] which was solved numerically by using computational software MATLAB and achieved reliable solutions- validated by comparing the numerical results with published results. Researchers and scientists have used a variety of empirical methods to investigate the sensitivity of the output variables. The most effective method for determining the relationship between input parameters and output responses is the correlation development method. A data set is extracted for wall heat flux and Sherwood number at random points, and finally by using RSM the correlation of input parameter and output responses are developed. The statistical results of ANOVA are presented in tabular form by using RSM. © 2022, The Authors. All rights reserved.

关键词： Sensitivity analysis

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Improving neural conversational models with entropy-based data filtering

arXiv

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arXiv 2019年

作者： Csaky, Richard Purgai, Patrik Recski, Gabor Department of Automation and Applied Informatics Budapest University of Technology and Economics Apollo.AI

Current neural network-based conversational models lack diversity and generate boring responses to open-ended utterances. Priors such as persona, emotion, or topic provide additional information to dialog models to aid response generation, but annotating a dataset with priors is expensive and such annotations are rarely available. While previous methods for improving the quality of open-domain response generation focused on either the underlying model or the training objective, we present a method of filtering dialog datasets by removing generic utterances from training data using a simple entropy-based approach that does not require human supervision. We conduct extensive experiments with different variations of our method, and compare dialog models across 17 evaluation metrics to show that training on datasets filtered this way results in better conversational quality as chat-bots learn to output more diverse responses. Copyright © 2019, The Authors. All rights reserved.

关键词： Entropy

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Optimized pwm technique for overmodulation region in vector controlled high speed drives

Optimized pwm technique for overmodulation region in vector ...

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International Exhibition and Conference for Power Electronics, Intelligent Motion, Renewable Energy and Energy Management, PCIM Europe 2018

作者： Stump, Péter Halász, Sándor Budapest University of Technology and Economics Department of Automation and Applied Informatics Hungary

ISBN: (纸本)9783800746460

Optimized PWM algorithms for the overmodulation region are presented and applied in a vector controlled high speed drive, where the pulse ratio is a small number. The optimization is done to minimize the loss-factor, which indicates the harmonic losses of the AC machine. A technique, to express the fundamental current waveform from the measured distorted current, is introduced. © VDE VERLAG GMBH · Berlin · Offenbach.

关键词： Pulse width modulation

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Evaluating Ensemble Post-Processing for Wind Power Forecasts

arXiv

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arXiv 2020年

作者： Phipps, Kaleb Lerch, Sebastian Andersson, Maria Mikut, Ralf Hagenmeyer, Veit Ludwig, Nicole Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Germany Department of Economics Karlsruhe Institute of Technology Germany Department of Management and Engineering Division of Energy Systems Linköping University Sweden Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Germany Excellence Machine Learning University of Tübingen Germany

Capturing the uncertainty in probabilistic wind power forecasts is challenging, especially when uncertain input variables, such as the weather, play a role. Since ensemble weather predictions aim to capture the uncertainty in the weather system, they can be used to propagate this uncertainty through to subsequent wind power forecasting models. However, as weather ensemble systems are known to be biased and underdispersed, meteorologists post-process the ensembles. This postprocessing can successfully correct the biases in the weather variables but has not been evaluated thoroughly in the context of subsequent forecasts, such as wind power generation forecasts. Copyright © 2020, The Authors. All rights reserved.

关键词： Electric power generation

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Introduction to MATLAB

Advanced Textbooks in Control and Signal Processing

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Advanced Textbooks in Control and Signal Processing 2019年 1-27页

作者： Keviczky, László Bars, Ruth Hetthéssy, Jenő Bányász, Csilla Institute for Computer Science and Control Hungarian Academy of Sciences Budapest Hungary Department of Automation and Applied Informatics Budapest University of Technology and Economics Budapest Hungary

MATLAB™ is an interactive environment for scientific and engineering calculations, simulations, and data visualization. MATLAB™ provides a powerful platform to solve mathematical and engineering problems related to matrix algebra, differential equations, etc. MATLAB is especially effective in solving control problems. SIMULINK provides block-oriented simulation. The chapter gives a short introduction to MATLAB and SIMULINK. © Springer Nature Singapore Pte Ltd. 2019.

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Modeling and simulation of sector-coupled networks: A gas-power benchmark

arXiv

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arXiv 2020年

作者： Fokken, E. Mühlpfordt, T. Faulwasser, T. Göttlich, S. Kolb, O. Department of Mathematics University of Mannheim Institute for Automation and Applied Informatics Karlsruhe Institute of Technology Institute for Energy Systems Energy Efficiency and Energy Economics TU Dortmund University

In this contribution, we aim at presenting a gas-to-power benchmark problem that can be used for the simulation of electricity and gas networks in a time-dependent environment. Based on realistic data from the IEEE database and the GasLib suite, we describe the full set up of the underlying equations and motivate the choice of parameters. The simulation results demonstrate the applicability of the proposed approach and also allow for a clear visualization of gas-power conversion. Copyright © 2020, The Authors. All rights reserved.

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Asynchronous filling by luminous robots

arXiv

引用

arXiv 2019年

作者： Hideg, Attila Lukovszki, Tamás Department of Automation and Applied Informatics Budapest University of Technology and Economics Budapest Hungary Faculty of Informatics Eötvös Loránd University Budapest Hungary

In this work we investigate this problem in the asynchronous model by luminous robots. In this model a light is attached to the robots, which serves as externally visible bits stored in that light encoded by a color. First, we present an algorithm solving the asynchronous Filling problem with robots having 1 hop visibility range, O(log ∆) bits of persistent storage, and ∆ + 3 colors, where ∆ is the maximum degree of the graph. Then we show, how the number of colors can be reduced to O(1) at the cost of the running time. After this we show, how the running time can be improved by robots with visibility range of 2 hops, O(log ∆) bits of persistent memory, and ∆ + 3 colors. We show, that in the fully synchronous case, the running time of this algorithm is O(n). Finally, we show how to extend our asynchronous solution to the k-Door case, k ≥ 2, by using ∆ + k + 3 colors. Finally, we present simulation results that match very well the theoretical bounds. Copyright © 2019, The Authors. All rights reserved.

关键词： Color

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Application of statistical modeling and participatory computing for private blockchains 18

Application of statistical modeling and participatory comput...

引用

18th International Multidisciplinary Scientific Geoconference, SGEM 2018

作者： Jánoky, László Viktor Levendovszky, János Ekler, Péter Budapest University of Technology and Economics Department of Automation and Applied Informatics Hungary Budapest University of Technology and Economics Department of Networked Systems and Services Hungary

ISBN: (纸本)9786197408355

With the steady rise of interest in blockchain and related technologies, researchers are making efforts to solve the remaining open questions in this field. One of the open problems is to achieve and maintain some desired characteristics of a private blockchain as far as the block generation rate is concerned. This problem is routed in statistical modeling. In this work, we will apply the results of participatory computing to build private blockchains and to resolve this issue. Private blockchains are important in cases when enforcing limited write access, while maintaining public readability and undeniability. One example could be the collection of publicly important data (e.g. environmental information, agricultural data) from a set of trusted sources (i.e. research stations). By applying participatory systems to blockchain technologies, there are a fixed number of participants in a group, who are in need for a private blockchain. Each participant has a number of clients, whom they provide service for. The participants use the resources of their clients to "build" the blockchain, i.e. the clients provide the proof-of-work required to append new blocks to the chain. In this paper we provide a mathematical model of this process and by statistical analysis we demonstrate how to achieve the desired block generation rate by evaluating its p.d.f. Our approach is based on modeling the random behavior of blockchains as well as the typical client behavior. © SGEM2018.

关键词： Blockchain

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A survey on text-based modeling in model evolution and management

Periodica polytechnica Electrical engineering and computer s...

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Periodica polytechnica Electrical engineering and computer science 2019年第1期63卷 51-65页

作者： Somogyi, Ferenc A. Asztalos, Mark Department of Automation and Applied Informatics Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics Magyar Tudósok krt. 2. BudapestH-1117 Hungary

Model-driven software engineering methodologies like model-driven engineering aim to improve the productivity of software development by using graph-based models as the main artifacts during development, and generating the source code from these models. The models are usually displayed and edited using a graphical notation. However, they can also be described using a textual notation. This has some advantages and disadvantages compared to the graphical approach. For example, while editing the model, we can better focus on the details instead of a broad overview. Similarly to source code, models evolve rapidly during development. Handling and managing the evolution of models is an important task in model-driven methodologies and is an active research area today. However, there exist few research on text-based modeling approaches, compared to graph-based ones. This paper introduces the text-based modeling research field based on existing literature, and presents the state-of-the-art of the field related to model evolution and management. Our goal is to identify challenges and directions for future research in this field. The main topics covered are model differencing and merging, and the synchronization of the textual and graphical notations. © 2018 budapest university of technology and economics. All Rights Reserved.

关键词： Surveys

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A Secure Healthcare 5.0 System Based on Blockchain technology Entangled with Federated Learning Technique

arXiv

引用

arXiv 2022年

作者： Rehman, Abdur Abbas, Sagheer Khan, M.A. Ghazal, Taher M. Adnan, Khan Muhammad Mosavi, Amir School of Computer Science National College of Business Administration and Economics Lahore54000 Pakistan Riphah School of Computing and Innovation Faculty of Computing Riphah International university Pakistan School of Information Technology Skyline University College University City Sharjah Sharjah1797 United Arab Emirates Selangor Bangi43600 Malaysia Department of Software Gachon University Seongnam13120 Korea Republic of Institute of Information Engineering Automation and Mathematics Slovak University of Technology in Bratislava Bratislava81107 Slovakia John von Neumann Faculty of Informatics Obuda University Budapest1034 Hungary Faculty of Civil Engineering TU-Dresden Dresden01062 Germany

In recent years, the global Internet of Medical Things (IoMT) industry has evolved at a tremendous speed. Security and privacy are key concerns on the IoMT, owing to the huge scale and deployment of IoMT networks. Machine learning (ML) and blockchain (BC) technologies have significantly enhanced the capabilities and facilities of healthcare 5.0, spawning a new area known as "Smart Healthcare." By identifying concerns early, a smart healthcare system can help avoid long-term damage. This will enhance the quality of life for patients while reducing their stress and healthcare costs. The IoMT enables a range of functionalities in the field of information technology, one of which is smart and interactive health care. However, combining medical data into a single storage location to train a powerful machine learning model raises concerns about privacy, ownership, and compliance with greater concentration. Federated learning (FL) overcomes the preceding difficulties by utilizing a centralized aggregate server to disseminate a global learning model. Simultaneously, the local participant keeps control of patient information, assuring data confidentiality and security. This article conducts a comprehensive analysis of the findings on blockchain technology entangled with federated learning in healthcare. 5.0. The purpose of this study is to construct a secure health monitoring system in healthcare 5.0 by utilizing a blockchain technology and Intrusion Detection System (IDS) to detect any malicious activity in a healthcare network and enables physicians to monitor patients through medical sensors and take necessary measures periodically by predicting diseases. The proposed system demonstrates that the approach is optimized effectively for healthcare monitoring. In contrast, the proposed healthcare 5.0 system entangled with FL Approach achieves 93.22% accuracy for disease prediction, and the proposed RTS-DELM-based secure healthcare 5.0 system achieves 96.18% accuracy for the e

关键词： Blockchain

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