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UPB Scientific Bulletin, Series C: Electrical Engineering and computer science 2021年第4期83卷 29-40页

作者： Costache, Alexandru Popescu, Dan Faculty of Automatic Control and Computer Science University POLITEHNICA of Bucharest Romania Faculty of Automatic Control and Computer Science University POLITEHNICA of Bucharest Romania

In this paper we present an approach for facial expression recognition in images depicting persons of different ages, genders and ethnicities. We propose "emotion sketches" which are simplified representations of facial expressions, so that classification can be done regardless of the physical characteristics of persons portrayed in the analyzed images. Emotion sketches are based on facial landmarks identified in static images. The paper describes the process of obtaining the emotion sketches and validates the approach by training and testing three neural networks on them. We present and comment our experimental results. © 2021, Politechnica University of Bucharest. All rights reserved.

关键词： Face recognition

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ELSA: Euler-Lagrange Skeletal Animations - Novel and Fast Motion Model Applicable to VR/AR Devices 21st

ELSA: Euler-Lagrange Skeletal Animations - Novel and Fast Mo...

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21st International Conference on Computational science, ICCS 2021

作者： Wereszczyński, Kamil Michalczuk, Agnieszka Foszner, Pawel Golba, Dominik Cogiel, Michal Staniszewski, Michal Department of Computer Graphics Vision and Digital Systems Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Akademicka 2A Gliwice44-100 Poland KP Labs Gliwice Poland

ISBN: (纸本)9783030779764

Euler Lagrange Skeletal Animation (ELSA) is the novel and fast model for skeletal animation, based on the Euler Lagrange equations of motion and configuration and phase space notion. Single joint’s animation is an integral curve in the vector field generated by those PDEs. Considering the point in the phase space belonging to the animation at current time, by adding the vector pinned to this point and multiplied by the elapsed time, one can designate the new point in the phase space. It defines the state, especially the position (or rotation) of the joint after this time elapses. Starting at time 0 and repeating this procedure N times, there is obtained the approximation, and if the N→ ∞ the integral curve itself. Applying above, to all joint in the skeletal model constitutes ELSA. © 2021, Springer Nature Switzerland AG.

关键词： Animation

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Optimal Multi-Target Path Planing control for Multiple Mobile Robot System

Optimal Multi-Target Path Planing Control for Multiple Mobil...

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2023 International Conference on System science and Engineering, ICSSE 2023

作者： Vu, Van-Phong Nguyen, Tu-Gia-Thinh Nguyen, Xuan-Sang Le, Van-Tung Ngo, Van-Thuyen Pham, Duc-Hung Uyen, Hoang Kim Ho Chi Minh City University of Technology and Education Department of Automatic Control Ho Chi Minh city Viet Nam Hung Yen University of Technology and Education Faculty of Electrical and Electronic Engineering Hung Yen Viet Nam Da Nang University of Science and Technology Faculty of Electronics and Telecommunication Engineering Da Nang Viet Nam

ISBN: (纸本)9798350322941

In this paper, the problems related to cooperative control for the multiple mobile robot system (MMRS) is presented. The LIDAR sensor is employed to obtain the 2D map of the indoor space. The formation control and the leader-following algorithm are applied to control the MMRS moving in a specific formation. Additionally, this paper considers the scenario that the MMRS has to move to several targets in the indoor space with many obstacles. Therefore, the indoor travelling salesman problem-based Ant Colony Optimization (ACO) is studied in this work to determine the optimal moving path of the MMRS. To prove the effectiveness and merit of the proposed methods, the simulation results are provided in this article. © 2023 IEEE.

关键词： Ant colony optimization

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Classification of skin lesions using morpho-granulometry features derived from color clusters

Classification of skin lesions using morpho-granulometry fea...

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

作者： Gigi Tăbăcaru Simona Moldovanu Marian Barbu Department of Automatic Control and Electrical Engineering Faculty of Automation Computers Electrical Engineering and Electronics "Dunarea de Jos" University of Galati Galati Romania Computer Science and Information Technology Faculty of Automation Computers Electrical Engineering and Electronics The Modelling & Simulation Laboratory "Dunarea de Jos" University of Galati Galati Romania

ISBN: (数字)9798350364293

ISBN: (纸本)9798350364309

The skin lesion can be thought of as a biological system, so the morpho-granulometry of significant color clusters found in skin lesions is one of the elements that reproduce in a natural way the structure of the lesion, this novelty is highlighted in this study. Important features of skin lesions can be modulated by fusing neural networks (NN) and machine learning (ML). By choosing the nevus and melanoma classes, the primary goal was accomplished, and three databases were used to test the methodology. The characteristics based on morpho-granulometry allowed for the identification of microstructure within the images, which can be very helpful in characterizing the biological system. Based on random forest (RF) and extreme gradient boosting (XGboost) classifiers, this work aimed to improve the classification performance of important feature selection. The selected features from three free image databases with three NNs were classified. In a binary classification of nevus vs. melanoma, the results showed that the pattern recognition neural network (PRNN), according to the PH2 database, provided an accuracy of 0.923 and an F1-score of 0.876. The classification is interpretable if it is not validated. In our study, the best results were verified with a logistic regression (LR) classifier.

关键词： Accuracy Recurrent neural networks Image color analysis Melanoma Biological systems Artificial neural networks Feature extraction Skin Lesions Classification tree analysis

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A Deep Learning Approach For Faults Recognition of Dissolved Oxygen Sensor in Wastewater Treatment Plants

A Deep Learning Approach For Faults Recognition of Dissolved...

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International Conference on Emerging Technologies and Factory Automation (ETFA)

作者： Liliana Maria Ghinea Mihaela Miron Harsha Ratnaweera Department of Automatic Control and Electrical Engineering Department Faculty of Automation Computers Electrical Engineering and Electronics Galați Romania Department of Computer Science and Information Technology Faculty of Automation Computers Electrical Engineering and Electronics Galați Romania Faculty of Science and Technology Norwegian University of Life Sciences Oslo Norway

Fault diagnosis in wastewater treatment plants (WWTPs) is important to protect communities and ecosystems from toxic elements discharged into water. In this sense, fault identification of sensors plays an important role as they are the key components of the water plants control, especially because environmental legislation is very strict when referring to failures or anomalies in WWTPs. This paper analyzes the performances of two Deep Learning models, a Feedforward Neural Network (FFNN) and a 1D Convolution Neural Network (1DCNN) for identifying five operating states of the dissolved oxygen (DO) sensor: normal and faulty (bias, stuck, spike and precision degradation faults). The experiments were conducted on the Benchmark Simulator Model No 2 (BSM2) developed by the IWA Task Group. The performance of the Deep Learning (DL) classifiers was evaluated via accuracy, precision, recall, and F1-score metrics. The best overall classification accuracy was obtained by FFNN, 98.32% for training and 98.30% for testing.

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Bin Packing Scheduling Algorithm with Energy Constraints in Cloud Computing 17

Bin Packing Scheduling Algorithm with Energy Constraints in ...

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17th IEEE International Conference on Intelligent computer Communication and Processing, ICCP 2021

作者： Tudosoiu, Marius-Florinel Pop, Florin University Politehnica of Bucharest Faculty of Automatic Control and Computer Science Romania National Institute for Research and Development in Informatics - ICI Bucharest Romania

ISBN: (纸本)9781665409766

Cloud computing systems are the backbone of our technology needs in everyday life and are one of the major electric energy consumers globally. Any improvement that can be added to the energy efficiency of these vast systems constitutes a big gain worldwide in our never-ending battle with climate change and pollution. This paper proposes a new algorithm for task scheduling in Cloud systems based on the bin packing algorithm using a greedy implementation in conjunction with an optimization algorithm for resource task execution. By executing tasks in as much time as possible without impacting customer experience too much due to latency and by using resources at close to 100% in order to use the minimum number of servers we can achieve on average a 3.79% increase in energy efficiency. On top of that, our algorithm is robust to extreme variations of incoming task deadline distributions. © 2021 IEEE.

关键词： Energy efficiency

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Security Issues in Software-Defined Networking (SDN) Environments

Security Issues in Software-Defined Networking (SDN) Environ...

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Roedunet International Conference (RoEduNet)

作者： Khirota Gorgees Yalda Diyar Jamal Hamad Nicolae Tapus Ibrahim Taner Okumus Faculty of Automatic Control and Computer Science Politehnica University of Bucharest Bucharest Romania IT department Soran Technical college Erbil Polytechnic University Kurdistan Region Erbil Iraq Computer Engineering Faculty of engineering Kahramanmaras Sutcu Imam University Kahramanmaras Turkey

ISBN: (数字)9798331540388

ISBN: (纸本)9798331540395

Software-Defined Networking (SDN) represents a significant shift in network architecture, providing exceptional programmability, flexibility, and simplified management. However, this paradigm shift introduces a unique set of security challenges that must be addressed to fully realize the potential of SDN. This paper examines the security issues in SDN environments, detailing the threats and vulnerabilities at various layers of the SDN architecture, including the control plane, data plane, and application plane. Through an extensive review of current literature, critical security challenges such as controller attacks, data plane breaches, and vulnerabilities in inter-plane communications are identified. Existing security solutions and mitigation strategies, such as authentication and authorization mechanisms, encryption techniques, and intrusion detection systems, are also explored. Furthermore, the paper discusses recent advances and emerging trends in SDN security, offering insights into ongoing research and future directions. The findings underscore the importance of robust security measures in ensuring the reliability and integrity of SDN deployments, providing a foundation for future innovation and development in this dynamic field.

关键词： Technological innovation Prevention and mitigation Intrusion detection Distributed databases Organizations Robustness Encryption Security Software defined networking computer crime

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Modern Web Application for Image Annotation Using Web Technologies 13

Modern Web Application for Image Annotation Using Web Techno...

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13th International Conference on electronics, computers and Artificial Intelligence, ECAI 2021

作者： Dinca, Alexandru Angelescu, Nicoleta Popescu, Dan University POLITEHNICA of Bucharest Faculty of Automatic Control and Computer Science Bucharest Romania Valahia University of Targoviste Faculty of Electrical Engineering Information Technology Targoviste Romania

ISBN: (纸本)9781665425346

The evolution of web technologies has brought to the fore new solutions for content management and distribution. The development of these new technologies has managed to lay the foundations of a strong web industry and work environments that can have ramifications to any field of work present in modern society. Web developers regularly use and build powerful software modules, based on new technologies and with which they can develop powerful applications. In this paper, we present a web application, built according to the new standards, which aims to develop an accessible platform used for annotating and saving images. © 2021 IEEE.

关键词： Image annotation

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Linqstat-based Touch Sensor Keyboard for Physical Access Security

Linqstat-based Touch Sensor Keyboard for Physical Access Sec...

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International Conference on Semiconductor

作者： Cristian-Ovidiu Opriş Theodor Andrei Pruteanu Andrei Drăgulinescu Ana-Maria Drăgulinescu Petru-Lucian Milea Electronic Technology and Reliability Department POLITEHNICA Bucharest Bucharest Romania Faculty of Automatic Control and Computer Science POLITEHNICA Bucharest Bucharest Romania Telecommunications Department POLITEHNICA Bucharest Bucharest Romania

ISBN: (数字)9798350352078

ISBN: (纸本)9798350352085

With the purpose of increasing the security of physical access in restricted areas, the paper proposes the use of the Linqstat material for a touch sensor keyboard consisting of 19 keys with the possibility of expansion for later versions, model that is missing from the specialized literature. The advantage of this type of sensor is that it can also be applied to a curved surface, with the necessary calibration. The construction method of the keyboard including the touch sensor is presented. First, a neural network (NN) is used to locate the touch on the keyboard, then a second method detects each pressed key individually.

关键词： Keyboards Tactile sensors Artificial neural networks Calibration Security

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Vibration Mitigation of Hybrid Oscillating Water Column-Floating Offshore Wind Turbine Using ANFIS-Based Airflow control 16th

Vibration Mitigation of Hybrid Oscillating Water Column-Floa...

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16th APCA International Conference on automatic control and Soft Computing, controlO 2024

作者： M’zoughi, Fares Aboutalebi, Payam Ahmad, Irfan Rouch, Tahereh Bagheri Garrido, Izaskun Garrido, Aitor J. De La Sen, Manuel Automatic Control Group—ACG Institute of Research and Development of Processes—IIDP Department of Automatic Control and Systems Engineering Faculty of Engineering of Bilbao—EIB/BIE University of the Basque Country—UPV/EHU Po Rafael Moreno no. 3 Bilbao48013 Spain Automatic Control Group—ACG Institute of Research and Development of Processes IIDP Department of Electricity and Electronics Faculty of Science and Technology University of the Basque Country—UPV/EHU Bo Sarriena s/n Leioa48080 Spain

ISBN: (纸本)9783031817236

This paper introduces a novel approach to model and stabilize a Floating Offshore Wind Turbine (FOWT) by employing Oscillating Water Columns (OWC) as an active structural control system. The innovative concept involves designing a new floating barge-like platform with integrated OWCs on opposite sides of the platform to mitigate undesired oscillations of the system. These OWCs counteract the bending forces caused by wind on the tower and waves on the barge platform. To synchronize the opposing forces with the system’s tilting, a proposed Adaptive Neuro-Fuzzy Inference System-based airflow control strategy is employed. Through manipulation of the barge platform’s pitch angle, the ANFIS airflow control system adjusts the valves on either side, opening one and closing the other accordingly. Simulation results, compared with a standard FOWT demonstrate the effectiveness of the ANFIS airflow control. It is shown to be superior in reducing platform pitching and the fore-aft translation of the tower top. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Active Structural control Air Valve Airflow control ANFIS Barge Platform Floating Offshore Wind Turbine Oscillating Water Column

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