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27th International Conference on Knowledge Based and Intelligent Information and Engineering Sytems, KES 2023

作者： Stanczyk, Urszula Department of Graphics Computer Vision and Digital Systems Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Akademicka 2A Gliwice44-100 Poland

Decision reducts and rules belong to forms used for the representation of knowledge learnt from input data while using a rough set approach in the exploration stage. As with any patterns that capture properties of data, the size is considered as the most important indicator of their quality, as a more general and concise description allows for improved understanding and simplified interpretation. The size of a reduct is given by its cardinality, and for a rule it is a number of included conditions, both referred to as lengths. These lengths undergo transformations along with data transformations, so such processing as discretisation leads to changed characteristics of existing patterns and through them also reducts and rules. The paper presents research with contributions in the observations focused on the influence of supervised and unsupervised discretisation on properties of attributes, induced decision reducts, and rules, offering a deeper insight into relations among them. © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0)

关键词： Data exploration decision reduct decision rule discretisation knowledge representation rough set theory transformation

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Should supervised discretisation always be trusted unreservedly? On combining characteristics of supervised and unsupervised discretisation algorithms in two-step processing 27

Should supervised discretisation always be trusted unreserve...

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27th International Conference on Knowledge Based and Intelligent Information and Engineering Sytems, KES 2023

作者： Stanczyk, Urszula Baron, Grzegorz Department of Graphics Computer Vision and Digital Systems Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Akademicka 2A Gliwice44-100 Poland

The paper presents a description of the research methodology dedicated to a two-step discretisation process applied to the input numeric data, with combining the characteristics of selected supervised and unsupervised algorithms, which leads to extended processing of some attributes in train and test sets. The methodology was illustrated with the investigations carried out in the domain of stylometric analysis of texts, for two datasets prepared for the task of binary authorship attribution. The several variants of transformed input data obtained were subjected to exploration using two selected machine learning methods capable of inducing knowledge from both continuous and categorical forms, namely the PART and J48 classifiers. The results from the experiments indicate that, as can be expected, supervised transformations of data work well enough, however, they do not always return the best outcome. The two-step processing of some attributes shows sufficient promise to warrant a closer study, as opposed to always unconditionally relying only on supervised algorithms as outperforming all other approaches. © 2023 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0)

关键词： Authorship attribution Data representation Pattern recognition Stylometry Supervised discretisation Unsupervised discretisation

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Complete OCR Solution for Image Analysis of World War 2 Documents 21

Complete OCR Solution for Image Analysis of World War 2 Docu...

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21st RoEduNet Conference on Networking in Education and Research, RoEduNet 2022

作者： Gradinaru, Mihai Negru, Andrei Boiangiu, Costin-Anton Tarba, Nicolae Voncila, Mihai-Lucian Deaconescu, Razvan Adrian Politehnica University Faculty of Automatic Control and Computers Computer Science and Engineering Department Bucharest Romania

ISBN: (数字)9781665455282

ISBN: (纸本)9781665455282

The field of Optical Character Recognition (OCR) consists of techniques that are mainly focused on document image analysis. Aside from generating significant speedups of everyday procedures, OCR has a considerable role in the preservation of historical sources of information. Most of the World War 2 (WW2) documents are of great importance, especially with applications in virtual archives, museums, and research. The situation asks for an efficient, yet not aggressive, transcribing method using OCR tools. This paper describes an approach in the context of the given problem. The focus is oriented towards extracting the information from documents affected by their age, but with simpler structures, mainly split into paragraphs, such as letters and military reports. The approach is based on combining the results of multiple OCR engines, with the final objective of achieving better performance compared to the individual performance of each engine. © 2022 IEEE.

关键词： Engines

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Low-cost air pollution monitoring systems

Low-cost air pollution monitoring systems

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International Conference on System Theory, control, and Computing (ICSTCC)

作者： Silvian-Marian Petrică Ioana Făgărășan Iulia Stamatescu Nicoleta Arghira Radu-Nicolae Pietraru Faculty of Automatic Control and Computer Science Politehnica of Bucharest Bucharest Romania

ISBN: (数字)9798350364293

ISBN: (纸本)9798350364309

Recently, discussions on air pollution have escalated due to its harmful impact on human health. More and more often we meet a remarkable interest in air quality monitoring, the society we are living in is increasingly approaching methods of acquiring and installing weather and air quality monitoring stations in different locations, whether we are talking about urban or rural areas. While traditional air quality monitoring systems are slightly outdated and they have limitations in providing real-time data at a reasonable cost, technological advances such as the Internet of Things (IoT) offer promising solutions for efficient monitoring in terms of costs, time and energy consumption. Thus, currently smart cities manage to successfully integrate both hardware and software devices to establish complete air quality monitoring systems. This paper proposes an extensive state-of-the-art and a synthesis on the environmental parameters and the air quality index obtained through certain current methods of air quality *** overcome today’s pollution monitoring systems drawbacks, the air quality index (AQI) was defined according to EU and World Health Organization standards. The AQI was computed based on three different databases in a proposed online application for pollution monitoring and analysis. The calculation method of AQI with existing monitoring systems was compared with current standards AQI for a clear and uniform view of air quality.

关键词： Costs Smart cities Soft sensors Standards organizations Air quality Air pollution Indexes Internet of Things Monitoring Standards

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Three-Dimensional Analysis of the Retinal Vessels 21st

Three-Dimensional Analysis of the Retinal Vessels

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21st Polish control Conference, PCC 2023

作者： Bieda, Robert Jaskot, Krzysztof Jaworski, Marcin Faculty of Automatic Control Electronics and Computer Science Department of Automatic Control and Robotics Silesian University of Technology ul. Akademicka 16 room 625 Gliwice44-100 Poland OPTOMED Ophthalmological Center for Children and Adults Chorzów Poland

ISBN: (纸本)9783031351723

The article is an introduction to quantitative analysis retinal blood vessels. The analysis uses an active contouring system to isolate blood vessels obtained by scanning with an Angio-OTC device. It should bring possibility to make therapeutic decisions and determine the treatment prognosis that are based on the results of quantitative analysis of neovascular changes. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Blood vessels

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Reinforcement Learning-Based Output Stabilization control for Nonlinear Systems With Generalized Disturbances 25

Reinforcement Learning-Based Output Stabilization Control fo...

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25th IEEE International Conference on Industrial Technology, ICIT 2024

作者： Tang, Zezhi Rossiter, J Anthony Dong, Yi Panoutsos, George University Of Sheffield Department Of Automatic Control And Systems Engineering SheffieldS13JD United Kingdom University Of Southampton Department Of Electronics And Computer Science Southampton United Kingdom

ISBN: (纸本)9798350340266

This paper proposes a new disturbance observer (DO)-based reinforcement learning (RL) control approach for nonlinear systems with unmatched (generalized) disturbances. While a nonlinear disturbance observer (NDO) is utilized to measure the plant uncertainties, disturbances can exist in the plant via distinct channels from those of the control signals;so-called mismatched disturbances are theoretically difficult to attenuate within the channel of the system's states. A generalized disturbance observer-based compensator is implemented to address the uncertainty cancellation problem by removing the influence of uncertainties from the output channels. Con-currently, a composite actor-critic RL scheme is utilized for approximating the optimal control policy as well as the ideal value function pertaining to the compensated system by solving a Hamilton-Jacobi-Bellman (HJB) equation for both online and offline iterations simultaneously. Stability analysis verifies the convergence of the proposed framework. Simulation results are included to illustrate the effectiveness of the proposed scheme. © 2024 IEEE.

关键词： Nonlinear systems

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The Informativity Approach: To Data-Driven Analysis and control

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IEEE control Systems 2023年第6期43卷 32-66页

作者： Van Waarde, Henk J. Eising, Jaap Camlibel, M. Kanat Trentelman, Harry L. Bernoulli Institute for Mathematics Computer Science and Artificial Intelligence University of Groningen 9747 AG Netherlands Automatic Control Laboratory ETH Zürich Zürich8092 Switzerland University of Groningen Groningen9700 AB Netherlands

Roughly speaking, systems and control theory deals with the problem of making a concrete physical system behave according to certain desired specifications. To achieve this desired behavior, the system can be interconnected with a physical device, called a controller. The problem of finding a mathematical description of such a controller is called the control design problem. © 1991-2012 IEEE.

关键词： controllers

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control structures with anticipative action for thermoenergetic processes

Control structures with anticipative action for thermoenerge...

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International Conference on System Theory, control, and Computing (ICSTCC)

作者： Crina Torous Dumitru Popescu Severus Constantin Olteanu Faculty of Automatic Control and Computer Science University Politehnica of Bucharest Romania

ISBN: (数字)9798350364293

ISBN: (纸本)9798350364309

The paper aims at bringing enhancements for the control of thermo-energetic processes by proposing anticipative action in order to reduce the perturbation effects in the process. Our contribution is organized in three connected sections. After a short introduction, in the first section, the dynamic model of the transfer energy between agent and product is estimated based on thermal balance equations, to explore the static and dynamic evolution of the process and to design the control system algorithms. In the second section, the nominal digital system is designed based on dynamic model and the imposed performances for the close loop system are validated through simulation. In the final section, the cascade and feedforward structures are designed respectively. The performances based on anticipative action, guarantee the invariance of the system, being validated in a simulation environment. The simulation results confirm the effectiveness of this research and the possibility of transferring these results towards the industrial heat processes. Finally, the conclusions and perspectives are given.

关键词： Automation Adaptive systems Heuristic algorithms Process control control systems Mathematical models Temperature control Feedforward systems Heat transfer Thermal energy

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Research on SDN traffic anomaly detection technology based on knowledge graph 5

Research on SDN traffic anomaly detection technology based o...

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5th International Conference on Artificial Intelligence and computer science, AICS 2023

作者： Li, Suyang Bai, Xiaojun Wang, Shenhang School of Computer Science and Engineering Xi’an Technological University Shaanxi Xi’an710021 China Beijing Aerospace Automatic Control Institution Beijing100076 China

ISBN: (纸本)9781510668621

SDN (Software Defined Networking) is a novel network architecture that allows for flexible configuration and centralized control of resources. However, it also presents new fault problems, particularly in high data volumes and complex topologies where traditional anomaly detection algorithms often need to be revised. To address this issue, we propose a knowledge graph-based approach to SDN fault detection. By leveraging the interpretability and expressiveness of knowledge graphs and the SDN controller’s global information, we construct and continuously update a knowledge graph that enables real-time monitoring and analysis of the network state. Finally, we detect and diagnose the abnormal conditions in the network through graph inference. The experimental results indicate that the knowledge graph-based SDN fault detection algorithm demonstrates high accuracy and efficiency, effectively enhancing SDN networks’ operational stability and security. © 2023 SPIE.

关键词： Anomaly detection

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Ante-Hoc Generation of Task-Agnostic Interpretation Maps

Ante-Hoc Generation of Task-Agnostic Interpretation Maps

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2023 IEEE/CVF Conference on computer Vision and Pattern Recognition Workshops, CVPRW 2023

作者： Akash Guna, R.T. Benitez, Raul Sikha, O.K. Amrita School of Engineering Department of Computer Science and Engineering Coimbatore India Universitat Politècnica de Catalunya BarcelonaTech Departament of Automatic Control Spain

ISBN: (纸本)9798350302493

Existing explainability approaches for convolutional neural networks (CNNs) are mainly applied after training (post-hoc) which is generally unreliable. Ante-hoc explainers trained simultaneously with the CNN are more reliable. However, current ante-hoc explanation methods mainly generate inexplicit concept-based explanations tailored to specific tasks. To address these limitations, we propose a task-agnostic ante-hoc framework that can generate interpretation maps to visually explain any CNN. Our framework simultaneously trains the CNN and a weighting network - an explanation generation module. The generated maps are self-explanatory, eliminating the need for manual identification of concepts. We demonstrate that our method can interpret classification, facial landmark detection, and image captioning tasks. We show that our framework is explicit, faithful, and stable through experiments. To the best of our knowledge, this is the first ante-hoc CNN explanation strategy that produces visual explanations generic to CNNs for different tasks. © 2023 IEEE.

关键词： computer vision

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