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Correction to: Global existence and stability of Nicholson blowflies model with harvesting and random effect

Nonlinear Dynamics 2022年第4期108卷 4629-4629页

作者： Abbas, Syed Niezabitowski, Michal Grace, Said R. School of Basic Sciences Indian Institute of Technology Mandi Mandi India Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice Poland Department of Engineering Mathematics Faculty of Engineering Cairo University Giza Egypt

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Retinal Disorder Diagnosis Based on Hybrid Deep Learning Models

SSRN

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SSRN 2022年

作者： Sedik, Ahmed El-Hag, Noha A. El-Hoseny, Heba M. El-Banby, Ghada M. Khalaf, Ashraf A.M. Abd El-Samie, Fathi E. El-Shafai, Walid Department of the Robotics and Intelligent Machines Faculty of Artificial Intelligence Kafrelsheikh University Egypt Menoufia University Egypt Department of Electronics and Electrical Communication Engineering Al-Obour High Institute for Engineering and Technology Egypt Department of Industrial Electronics and Control Engineering Faculty of Electronic Engineering Menoufia University Menouf32952 Egypt Deptartment of Electronics and Electrical Communication Engineering Faculty of Electronic Engineering Menoufia University Menouf32952 Egypt Department of Information Technology College of Computer and Information Sciences Princess Nourah Bint Abdulrahman University Riyadh84428 Saudi Arabia Security Engineering Lab Computer Science Department Prince Sultan University Riyadh11586 Saudi Arabia

Anomaly detection from medical images is badly needed for automated diagnosis. For example, medical images obtainedwith several modalities such as magnetic resonance (MR) and confocal microscopy need to be classified for anomaly *** MR images may contain tumors that need to be detected with anomaly detection techniques. In MR imaging, braintumors are represented as areas composed of abnormal cells that need to be detected. In addition, confocal microscopy can be used for retinal imaging. Hence, there is a need to apply classification techniques for diagnosing diseases of the eye such as Diabetic Retinopathy (DR), which leads to exudates in different regions of the retina. The detection of exudates is necessary for the diagnosis of DR. In this paper, two models are presented for the classification of MR and retinal images. Much research has been done in this area, but it did not achieve high accuracy of classification in an acceptable time. In addition, the previous models did not consider both types of image modalities considered in this paper. The suggested models are Convolutional Neural Network (CNN) and Convolutional Long Short-Term Memory (Conv-LSTM). They are used to classify © 2022, The Authors. All rights reserved.

关键词： Ophthalmology

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Evaluation of Path States of Large IoT Networks Using Locally and Remotely controlled Measurements

Evaluation of Path States of Large IoT Networks Using Locall...

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IFIP Networking Conference

作者： Agnieszka Chodorek Robert R. Chodorek Faculty of Electrical Engineering Automatic Control and Computer Science Kielce University of Technology Kielce Poland Department of Telecommunications The AGH University of Science and Technology Kraków Poland

ISBN: (数字)9783903176287

ISBN: (纸本)9781728167107

The state of network paths is of great importance for the quality and reliability of the transmission of information coming from the IoT devices. Changing network conditions cause the state of a single path to be highly unpredictable, especially when large-scale IoT networks, connecting thousands of specialized devices, are in use. The solution to this problem is to perform trials in a real environment, with the use of real hardware. The rationalization of the design, the implementation and the exploitation of the process will be the main benefit of this approach. In this demonstration, a testbed infrastructure for the estimation of the state of path parameters in wired and wireless networks is presented. The estimation is based mainly on active measurements performed with the use of the Probing Packet Trains method. The key elements of the testbed infrastructure are locally and remotely controlled energy-efficient single-board computers, working under the control of the Linux operating system, which are equipped with software able to track (in manual or automatic mode) changing conditions of a given transmission path.

关键词： Estimation Internet of Things Monitoring Performance evaluation Servers Manuals Bandwidth

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Cyber4OT dataset: Network traces for cyber-security vulnerability evaluation in industrial control systems

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SoftwareX 2025年 31卷

作者： Krzysztof Cabaj Sebastian Plamowski Patryk Chaber Maciej Ławryńczuk Piotr Marusak Robert Nebeluk Andrzej Wojtulewicz Krzysztof Zarzycki Institute of Computer Science Faculty of Electronics and Information Technology Warsaw University of Technology ul. Nowowiejska 15/19 00-665 Warsaw Poland Institute of Control and Computation Engineering Faculty of Electronics and Information Technology Warsaw University of Technology ul. Nowowiejska 15/19 00-665 Warsaw Poland

The article introduces the Cyber4OT dataset containing network traces concerning normal and simulated attacker-hostile activity in an Industrial control System (ICS) environment. As many as 96 traces contain over 4.25 million packets and have over 385 MB capacity. The simulated attacks have been performed on a dedicated laboratory testbed. The testbed mimics industrial plants’ Information Technology (IT) and Operational Technology (OT) infrastructure. The testbed deliberately uses continuous and binary control processes of fast and slow dynamics. Industrial Programmable Logic controllers (PLCs) are used to control the processes. A dedicated industrial network provides the communication between the ICS equipment, Supervisory control and Data Acquisition (SCADA) system and Human Machine Interface (HMI) panels. The communication is configured to test multiple communication protocols, including the standard industrial Modbus protocol. The entire industrial infrastructure is connected to an external office network. Since the infrastructure and its components are typical of industrial solutions, the described dataset collected using such a realistic testbed could be beneficial for a broad scope of researchers to evaluate the vulnerability of ICSs to cyber attacks using classical and artificial intelligence methods.

关键词： Dataset Network security Network attacks Industrial control systems SCADA PLC

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Polish Language Modelling Based on Deep Learning Methods and Techniques

Polish Language Modelling Based on Deep Learning Methods and...

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Signal Processing Algorithms, Architectures, Arrangements and Applications (SPA)

作者： Piotr Kłosowski Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Gliwice Poland

ISBN: (纸本)9781728139906

The article presents an example of deep learning methods application for language modelling in Polish. Language modelling helps to predict a sequence of recognized words or characters, and it can be used for improving speech processing and speech recognition. However, currently the field of language modelling is shifting from statistical language modelling methods to neural networks and deep learning methods. There are still many difficult problems to solve in natural language modelling. Nevertheless, deep learning methods achieve the most modern results for some specific language modelling problems. In this paper are presented the most interesting natural language modelling tasks, such as word-based and character-based language modelling, in which deep learning methods achieve some progress. New research results presented in this paper, in reference to previous articles, are focused on how to develop a character-based language model using a recurrent neural network and deep machine learning techniques. The use of both language modelling methods at the same time allow to develop hybrid language models that are characterized by even better properties and can greatly improve speech recognition. The presented results relate to the modelling of the Polish language but the achieved research results and conclusions can also be applied to language modelling application for other languages.

关键词： Speech recognition Deep learning Data models Computational modeling Load modeling Context modeling Natural languages

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Test Case Generation From Web Usage Information

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Procedia computer science 2021年 181卷 913-920页

作者： Jorge Esparteiro Garcia Ana C.R. Paiva Anca-Maria Bizoi Instituto Politécnico de Viana do Castelo Rua Escola Industrial e Comercial de Nun’Álvares 4900-347 Viana do Castelo Portugal INESC TEC Faculty of Engineering University of Porto Rua Dr. Roberto Frias s/n 4200-465 Porto Portugal Faculty of Automatic Control and Computer Science University Politehnica of Bucharest Splaiul Independentei 313 Bucharest Romania

In the context of SaaS (Software as a Service) where software has to be up and running 7 days a week and 24 hours a day, keeping the requirements specification and related test cases up to date can be difficult. Managing requirements in this context has additional challenges that need to be taken into account, for instance, re-prioritize requirements continuously and identify/update new dependencies among them. When requirements change, related test cases need to be updated accordingly. We claim that extracting and analyzing the usage of the SaaS can help to maintain requirements and test cases updated and contribute to improve the overall quality of the services provided. This paper presents an extension to REQAnalytics. REQAnalytics is a recommendation system that collects information about the usage of a SaaS and generates recommendations to improve the SaaS provided. The evolution involves extending the analysis performed over the sequences of functionalities (requirements) and refining the data provided for Software Requirements Specification, with the purpose of helping the requirements engineers in the requirement maintenance activities, and to improve the overall quality of the services. Furthermore, the extension presented in this paper is able to generate test cases in a regression testing context.

关键词： Requirements engineering test cases web usage recommender systems

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Identification of information technology security issues specific to industrial control systems 13th

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13th International Conference on Dependability and Complex Systems, DepCoS-RELCOMEX 2018

作者： Rogowski, Dariusz Faculty of Automatic Control Electronics and Computer Science Institute of Informatics Silesian University of Technology Akademicka 16 Gliwice44-100 Poland Institute of Innovative Technologies EMAG Leopolda 31 Katowice40-189 Poland

ISBN: (纸本)9783319914459

The paper presents current cybersecurity issues in industrial automation and control systems (IACS). It also reviews the state of the art in literature, standards and frameworks used to evaluate and certify industrial control devices. Nowadays the Common Criteria (CC) security assurance methodology is commonly used for the vast majority of information technology (IT) products but not for IACS components. The paper proposes a security evaluation method of IACS to be based on the CC approach. The CC standard has not been used in industry so far and this is why it became the main motivation of the author’s doctoral research work in that field. The implementation of CC security requirements can enhance the "safety" of functional features in control devices by adding "security" measures typical of IT products. The paper delivers input information to the first stage of the author’s research whose goal is the identification of design needs and requirements for building the security evaluation method. As a result, in the next stage, the evaluation method can be built according to the model of a control system and to the criteria taken from the CC standard adjusted to IACS needs. Coupling both "security" and "safety" for industrial control systems is a promising way of using the CC assurance methodology for a new kind of devices. © Springer International Publishing AG, part of Springer Nature 2019.

关键词： Accident prevention

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Evolving the very act of reading with socio-collaborative dimensions - Ar-annotations over physical books

UPB Scientific Bulletin, Series C: Electrical Engineering an...

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UPB Scientific Bulletin, Series C: Electrical Engineering and computer science 2020年第2期82卷 3-14页

作者： Stănică, Iulia-Cristina Moldoveanu, Alin Alabbasi, Hesham Adnan Moldoveanu, Florica Grădinaru, Alexandru Dascălu, Maria Morar, Anca Asavei, Victor Rădoi, Mireille Faculty of Automatic Control and Computer Science University POLITEHNICA of Bucharest Romania Department of Engineering in Foreign Language University POLITEHNICA of Bucharest Romania Computer Science Department College of Education Mustansiriyah University Iraq Central University Library of Bucharest "Carol I" Romania

Revitalizing reading and modernizing books have become important issues today, when technology is everywhere around us. New means are needed to make reading and physical books attractive to all people, regardless of age, hobbies or occupation. Our current paper presents an innovative project called Lib2Life which creates a mobile application that can improve books by adding annotations and social capabilities to them. © 2020, Politechnica University of Bucharest. All rights reserved.

关键词： Annotation Digital reading Digitization

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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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Preface

Lecture Notes in Networks and Systems

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Lecture Notes in Networks and Systems 2024年 1076 LNNS卷 v-vii页

作者： Biele, Cezary Kacprzyk, Janusz Kopeć, Wieslaw Możaryn, Jakub Owsiński, Jan W. Romanowski, Andrzej Sikorski, Marcin National Information Processing Institute Warszaw Poland Polish Academy of Sciences Systems Research Institute Warsaw Poland Polish-Japanese Academy of Information Technology Warsaw Poland Institute of Automatic Control and Robotics Faculty of Mechatronics Warsaw University of Technology Warsaw Poland Institute of Applied Computer Science Faculty of Electrical Electronic Computer and Control Engineering Lódż University of Technology LODZ Poland Department of Applied Informatics in Management Faculty of Management and Economics Gdańsk University of Technology Gdańsk Poland

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