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Biomarkers and neuromodulation techniques in substance use disorders

Bioelectronic Medicine 2020年第1期6卷 1页

作者： Habelt, Bettina Arvaneh, Mahnaz Bernhardt, Nadine Minev, Ivan Department of Psychiatry and Psychotherapy Medical Faculty Carl Gustav Carus Technische Universität Dresden Dresden Germany Department of Automatic Control and Systems Engineering University of Sheffield Sheffield United Kingdom

Addictive disorders are a severe health concern. Conventional therapies have just moderate success and the probability of relapse after treatment remains high. Brain stimulation techniques, such as transcranial Direct Current Stimulation (tDCS) and Deep Brain Stimulation (DBS), have been shown to be effective in reducing subjectively rated substance craving. However, there are few objective and measurable parameters that reflect neural mechanisms of addictive disorders and relapse. Key electrophysiological features that characterize substance related changes in neural processing are Event-Related Potentials (ERP). These high temporal resolution measurements of brain activity are able to identify neurocognitive correlates of addictive behaviours. Moreover, ERP have shown utility as biomarkers to predict treatment outcome and relapse probability. A future direction for the treatment of addiction might include neural interfaces able to detect addiction-related neurophysiological parameters and deploy neuromodulation adapted to the identified pathological features in a closed-loop fashion. Such systems may go beyond electrical recording and stimulation to employ sensing and neuromodulation in the pharmacological domain as well as advanced signal analysis and machine learning algorithms. In this review, we describe the state-of-the-art in the treatment of addictive disorders with electrical brain stimulation and its effect on addiction-related neurophysiological markers. We discuss advanced signal processing approaches and multi-modal neural interfaces as building blocks in future bioelectronics systems for treatment of addictive disorders. © 2020, The Author(s).

关键词： Closed loop systems

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Complex-Variable Sliding-Mode control of Instantaneous Complex Energy and Power for Grid-Tied Inverter*

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IFAC-PapersOnLine 2023年第2期56卷 451-457页

作者： Gerardo Tapia-Otaegui Sebastián Gómez Jorge Jorge A. Solsona Ana Susperregui M. Itsaso Martínez Claudio A. Busada University of the Basque Country UPV/EHU Dept. of Automatic Control and Systems Engineering Faculty of Engineering-Gipuzkoa 20018 Donostia Spain Instituto de Investigaciones en Ingeniería Eléctrica (CONICET-UNS) and Dpto. de Ingeniería Eléctrica y de Computadoras-Universidad Nacional del Sur 8000 Bahía Blanca Argentina

A complex-variable sliding-mode control (SMC) algorithm is proposed to govern inverters interfacing renewable energy sources (RESs) with the electrical grid. It is conceived to control the instantaneous energy stored in the passive components of the system and its rate of change, as well as the instantaneous reactive energy and power exchanged with the grid. The stability of the resulting closed-loop system is analyzed, and tuning of the designed SMC algorithm is also tackled. In addition, the design and tuning of a nonlinear observer estimating the renewable power supplied to the DC link are addressed. The overall control scheme obtained by combining the proposed complex-variable SMC algorithm with such observer is assessed in simulation, demonstrating its outstanding tracking performance and high robustness in presence of large parameter variations.

关键词： Complex variables energy control inverters observers power control renewable energy systems robustness stability analysis sliding-mode control

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Design and Development of a Bracelet to Monitor Vital signs of COVID-19 Patients

Design and Development of a Bracelet to Monitor Vital signs ...

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International Conference on engineering Technology and their Applications (IICETA)

作者： Hasan K. Naji Nicolae Goga Ammar J. M. Karkar Haider Abdullah Ali Mandana Falahi Abdullah Taher Huri Al-Rawi Doctoral School of Automatic Control and Computers University POLITEHNICA of Bucharest Bucharest Romania Faculty of Engineering in Foreign Languages University POLITEHNICA of Bucharest Bucharest Romania Molecular Dynamics Group University of Groningen Groningen Netherlands IT research and development centre University of Kufa Najaf Iraq Faculty of Automatic Control and Computers University POLITEHNICA of Bucharest Bucharest Romania University POLITEHNICA of Bucharest Bucharest Romania Resident doctor Al-Karkh general hospital Baghdad Iraq

ISBN: (数字)9781665472159

ISBN: (纸本)9781665472166

COVID-19, which stands for Coronavirus disease 2019, is an infection caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), first reported in December 2019 in Wuhan, China. The new coronavirus has spread rapidly around the world, causing extensive deaths, and turning into a new global public health crisis. This paper proposes a prototype system to assist medical staff in identifying and monitoring COVID-19 symptoms by measuring vital signs. This study aims to help prevent hospitalization of patients in the ICU by continuously monitoring the patient’s vital signs, which allows medical staff to diagnose the patient’s health at the appropriate time. The use of sensors has grown in many areas over the past decade, especially in wearable healthcare devices. In this paper, the hardware components, and the design structure of the bracelet have been presented. The bracelet is responsible for measuring and transferring vital signs like body temperature, oxygen saturation, and heart rate to the Base control Unit. The Max 30100 and DS18B20 sensors are used to read the vital signs of the patient and transmit them to the microcontroller inside the bracelet. The microcontroller will send vital signs data to the Raspberry Pi to analyse, process, save, and display. The design and implementation of this bracelet have been done by developing a 3D printed model after examining several models on people of different ages.

关键词： COVID-19 Temperature measurement Solid modeling Shape Microcontrollers Wearable computers Prototypes

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Complex-Valued Sliding-Mode control for DFIG Synchronization to Non-Ideal Grids*

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IFAC-PapersOnLine 2023年第2期56卷 2746-2752页

作者： Ana Susperregui M. Itsaso Martínez Gerardo Tapia-Otaegui Jorge A. Solsona Sebastián Gómez Jorge Claudio A. Busada University of the Basque Country UPV/EHU Dept. of Automatic Control and Systems Engineering Faculty of Engineering-Gipuzkoa 20018 Donostia Spain Instituto de Investigaciones en Ingeniería Eléctrica (CONICET-UNS) and Dpto. de Ingeniería Eléctrica y de Computadoras-Universidad Nacional del Sur 8000 Bahía Blanca Argentina

Even if the electrical grid is subject to constrained disturbances, doubly-fed induction generator (DFIG)-based wind turbines should be able to synchronize their stator voltage with that of the grid to ensure a smooth connection to the electric power system. In order to face the synchronization task under simultaneously unbalanced and harmonically distorted grid voltages, a complex-valued sliding-mode control (SMC) algorithm, naturally chatter-free and phase-locked loop (PLL)-independent, is proposed. By accomplishing a stationary reference frame-based design, decomposition into positive- and negative-sequences and harmonic components is not required. The finite-time convergence of such algorithm is analytically demonstrated when subject to both parametric and unmodeled uncertainties, as well as disturbances. Simulation over a 2-MW DFIG model has been carried out in order to validate the performance and robustness of the suggested control structure under unbalanced and harmonically distorted grid voltage, variable speed wind profile, substantial parameter deviations and grid frequency variation.

关键词： Complex variables harmonics induction generators renewable energy systems robustness sliding-mode control synchronization voltage imbalances wind

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Software Implementation of a Smart Bracelet Prototype to Monitor Vital Signs, Locate, and Track COVID-19 Patients in Quarantine Zone

Software Implementation of a Smart Bracelet Prototype to Mon...

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Blockchain, Smart Healthcare and Emerging Technologies (SmartBlock4Health), IEEE International Conference on

作者： Hasan K. Naji Nicolae Goga Ammar J. M. Karkar Haider Abdullah Ali Mandana Falahi Iuliana Marin Popa Ramona-Cristina Doctoral School of Automatic Control and Computers University POLITEHNICA of Bucharest Bucharest Romania Faculty of Engineering in Foreign Languages University POLITEHNICA of Bucharest Bucharest Romania Molecular Dynamics Group University of Groningen Groningen Netherlands Department of electronic and communication engineering IT research and development centre University of Kufa Najaf Iraq Faculty of Automatic Control and Computers University POLITEHNICA of Bucharest Bucharest Romania Department of Computer Engineering Techniques Madenat Alelem University Collage Baghdad Iraq University POLITEHNICA of Bucharest Bucharest Romania

ISBN: (纸本)9781665460156

This paper describes the design and software implementation of a wearable prototype that allows users to monitor the vital signs of COVID-19 patients in quarantine areas. This prototype consists of two parts, the bracelet, andthe Base control unit (BCU). The bracelet is built with ESP8266 and sensors as main components, as well as the battery and other parts needed to fulfill the system's purpose (monitoring the vital signs of COVID-19 patients). At the same time, the Raspberry Pi (SCB) single board computer and GSM/GPRS/HAT are the main components of the Basic control Unit (BCU). The current work describes the main parts of the pseudocode, as well as the activity diagram for the microcontroller and Raspberry Pi. This paper describes the mechanism of sending alert messages, whereby the system's ability to configure two types of alert messages; (1) physician Messages (these Messages will be sent to the physicianassociated with the patient if one or more vital signs reach a critical value; these messages contain all measurements of a patient's vital signs); (2) Authorize messages (these messages will be sent if the quarantine rules are violated; the patient's location will be sent to the authorized person as a Google Mapslink). Also, this paper describes the graphical user interface for communication, management,. and interaction between the users of the system.

关键词： COVID-19 Microcontrollers Prototypes Medical services Sensor systems Real-time systems Sensors

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control Strategy for a Quadrotor Based on a Memetic Shuffled Frog Leaping Algorithm

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computers, Materials & Continua 2021年第6期67卷 4081-4100页

作者： Nour Ben Ammar Hegazy Rezk Soufiene Bouallègue Research Laboratory in Automatic Control(LARA) National Engineering School of Tunis(ENIT)University of Tunis EL MANARLe BelvédèreTunis1002Tunisia College of Engineering at Wadi Addawaser Prince Sattam Bin Abdulaziz UniversityAl-Kharj11911Saudi Arabia Department of Electrical Engineering Faculty of EngineeringMinia UniversityMinia61517Egypt High Institute of Industrial Systems of Gabès(ISSIG) University of GabèsGabès6011Tunisia

This work presents a memetic Shuffled Frog Leaping Algorithm(SFLA)based tuning approach of an Integral Sliding Mode controller(ISMC)for a quadrotor type of Unmanned Aerial Vehicles(UAV).Based on the Newton–Euler formalism,a nonlinear dynamic model of the studied quadrotor is firstly established for control design *** the main parameters of the ISMC design are the gains of the sliding surfaces and signum functions of the switching control law,which are usually selected by repetitive and time-consuming trials-errors based procedures,a constrained optimization problem is formulated for the systematically tuning of these unknown *** time-domain operating constraints,such an optimization-based tuning problem is effectively solved using the proposed SFLA metaheuristic with an empirical comparison to other evolutionary computation-and swarm intelligence-based algorithms such as the Crow Search Algorithm(CSA),Fractional Particle Swarm Optimization Memetic Algorithm(FPSOMA),Ant Bee Colony(ABC)and Harmony Search Algorithm(HSA).Numerical experiments are carried out for various sets of algorithms’parameters to achieve optimal gains of the sliding mode controllers for the altitude and attitude dynamics *** studies revealed that the SFLA is a competitive and easily implemented algorithm with high performance in terms of robustness and non-premature *** results verified that the proposed metaheuristicsbased approach is a promising alternative for the systematic tuning of the effective design parameters in the integral sliding mode control framework.

关键词： Quadrotor modeling integral sliding mode control gains tuning advanced metaheuristics memetic algorithms shuffled frog leaping algorithm

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H observer-based control for fuzzy Hadamard fractional-order systems

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Computational and Applied Mathematics 2025年第4期44卷 1-14页

作者： Rhaima, Mohamed Gassara, Hamdi Mchiri, Lassaad El Hajjaji, Ahmed Ben Makhlouf, Abdellatif Department of Statistics and Operations Research College of Science King Saud University Riyadh Saudi Arabia Laboratory of Sciences Techniques of Automatic Control and Computer Engineering National School of Engineering of Sfax University of Sfax Sfax Tunisia Panthéon-Assas University Paris II Paris France Modeling Information and Systems Laboratory University of Picardie Jules Verne UFR of Sciences Amiens France Department of Mathematics Faculty of Sciences Sfax University Sfax Tunisia

While the $$H_\infty $$ observer-based control has found widespread application in the literature for integer-order systems, researchers have shown less interest in addressing the same issue within the fractional-order framework. In this context, this study delves into the application of $$H_\infty $$ observer-based control for the Hadamard fractional-order system (HFOS) described by the Takagi–Sugeno fuzzy models (TSFM). Using Lyapunov approach and by employing a matrix decoupling technique, LMI based conditions ensuring the existence of an observer and controller, are proposed. To minimize the impact of disturbances on the controlled output, $$H_\infty $$ optimization technique is used. The validity of our approach is substantiated through an example, underscoring the robustness and reliability of our proposed findings.

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An energy-aware clustering/routing a∗algorithm for wireless sensor networks 14

An energy-aware clustering/routing a∗algorithm for wireless...

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14th International Conference on Computer engineering and systems, ICCES 2019

作者： Elsaka, Nilly El-Shennawy, Nada Fahmy, Mahmoud M. Computers and Automatic Control Faculty of Engineering Tanta Egypt

ISBN: (纸本)9781728152608

Wireless sensor networks (WSNs) have gained researchers attraction over the recent years because it supports lot of applications as combat field management and disaster surveillance. Wireless sensors have the problem of dissipating more energy in the communication process, so we need to prolong the network lifetime by using an efficient method to minimize consuming sensors' energy in both routing and clustering process. In this paper, an energy-aware clustering/routing protocol based on A ∗ mechanism is developed. The algorithm is evaluated using MATLAB. Its performance is compared with CBCCP and LEACH protocols in terms of number of sending packets, the number of dead nodes and sum of network nodes energy. The results show the proposed algorithm superiority over the two compared algorithms. © 2019 IEEE.

关键词： Routing protocols

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SPARSE REPRESENTATIONS OF DYNAMICAL NETWORKS: A COPRIME FACTORIZATION APPROACH

arXiv

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arXiv 2022年

作者： Sabău, Serban Sperila, Andrei Oara, Cristian Jadbabaie, Ali Electrical and Computer Engineering Department Stevens Institute of Technology HobokenNJ07030 United States Faculty of Automatic Control and Computers "Politehnica" University of Bucharest Sector 6 060042 Romania CambridgeMA02139 United States

We study a class of dynamical networks modeled by linear and time-invariant systems which are described by state-space realizations. For these networks, we investigate the relations between various types of factorizations which preserve the structure of their component subsystems’ interconnection. In doing so, we provide tractable means of shifting between different types of sparsity-preserving representations and we show how to employ these factorizations to obtain distributed implementations for stabilizing and possibly stable controllers. By formulating all these results for both discrete- and continuous-time systems, we develop specialized distributed implementations that, up to this point, were only available for networks modeled as discrete-time *** Codes 93A14, 93B99, 93C05 © 2022, CC BY.

关键词： Continuous time systems

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GETAE: Graph Information Enhanced Deep Neural Network Ensemble ArchitecturE for Fake News Detection

arXiv

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arXiv 2024年

作者： Truica, Ciprian-Octavian Apostol, Elena-Simona Marogel, Marius Paschke, Adrian Computer Science and Engineering Department Faculty of Automatic Control and Computers National University of Science and Technology Politehnica Bucharest Splaiul Independentei 313 Bucharest060042 Romania Academy of Romanian Scientists Ilfov 3 Bucharest050044 Romania Department of Mathematics and Computer Science Freie Universität Berlin Arnimallee 14 Berlin14195 Germany Fraunhofer Institute for Open Communication Systems Kaiserin-Augusta-Allee 31 Berlin10589 Germany

In today’s digital age, fake news has become a major problem that has serious consequences, ranging from social unrest to political upheaval. To address this issue, new methods for detecting and mitigating fake news are required. In this work, we propose to incorporate contextual and network-aware features into the detection process. This involves analyzing not only the content of a news article but also the context in which it was shared and the network of users who shared it, i.e., the information diffusion. Thus, we propose GETAE, Graph Information Enhanced Deep Neural Network Ensemble ArchitecturE for Fake News Detection, a novel ensemble architecture that uses textual content together with the social interactions to improve fake news detection. GETAE contains two Branches: the Text Branch and the Propagation Branch. The Text Branch uses Word and Transformer Embeddings and a Deep Neural Network based on feed-forward and bidirectional Recurrent Neural Networks ([Bi]RNN) for learning novel contextual features and creating a novel Text Content Embedding. The Propagation Branch considers the information propagation within the graph network and proposes a Deep Learning architecture that employs Node Embeddings to create novel Propagation Embedding. GETAE Ensemble combines the two novel embeddings, i.e., Text Content Embedding and Propagation Embedding, to create a novel Propagation-Enhanced Content Embedding which is afterward used for classification. The experimental results obtained on two real-world publicly available datasets, i.e., Twitter15 and Twitter16, prove that using this approach improves fake news detection and outperforms state-of-the-art models. © 2024, CC BY-NC-ND.

关键词： Graph embeddings

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