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11th RSI International Conference on Robotics and mechatronics, ICRoM 2023

作者： Vaseghi, Yas Behara, Behnaz Delrobaei, Mehdi K. N. Toosi University of Technology Faculty of Electrical Engineering Department of Systems and Control Tehran Iran K. N. Toosi University of Technology Faculty of Electrical Engineering Department of Biomedical Engineering Tehran Iran K. N. Toosi University of Technology Faculty of Electrical Engineering Department of Mechatronics Tehran Iran

ISBN: (纸本)9798350308105

The Internet of Medical Things (IoMT) offers a promising solution to improve patient health and reduce human error. Wearable smart infusion pumps that accurately administer medication and integrate with electronic health records are an example of technology that can improve healthcare. They can even alert healthcare professionals or remote servers during operational failure, preventing distressing incidents. However, as the number of connected medical devices increases, the risk of cyber threats also increases. Wearable medication devices based on IoT attached to patients' bodies are prone to significant cyber threats. Being connected to the Internet exposes these devices to potential harm, which could disrupt or degrade device performance and harm patients. To ensure patient safety and well-being, it is crucial to establish secure data authentication for internet-connected medical devices. It is also important to note that the wearability option of such devices might downgrade the computational resources, making them more susceptible to security risks. This paper implements a security approach to a wearable infusion pump. We discuss practical challenges in implementing security-enabled devices and propose initial solutions to mitigate cyber threats. © 2023 IEEE.

关键词： Wearable technology

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Transmission Dynamics and Optimal control Strategy to Mitigate the Spread of Novel Coronavirus: The Case of Iran 30

Transmission Dynamics and Optimal Control Strategy to Mitiga...

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30th International Conference on Electrical engineering, ICEE 2022

作者： Shadi, Reza Fakharian, Ahmad Khaloozadeh, Hamid Islamic Azad University Faculty of Electrical Biomedical and Mechatronics Engineering Qazvin Branch Qazvin Iran K.N. Toosi University of Technology Department of Systems and Control Engineering Tehran Iran

ISBN: (纸本)9781665480871

The outbreak of the novel coronavirus (COVID-19) is currently considered a great challenge to the health of human society. In this study, since the COVID-19 vaccines are currently being developed, a vaccine allocation as an effective pharmaceutical strategy to immunize people against disease is being considered. To this end, a new extended SIR-type model including vaccination compartment and reinfection transmission to predict disease behavior in Iran has been formulated. The mathematical analysis of the model is investigated to verify that the proposed model is well-posed epidemiologically. The biological parameters are evaluated via a nonlinear least-square fitting approach. Finally, to investigate the impact of preventive pharmaceutical measures on flattening the curve of the COVID-19 incidence in Iran, the optimal control strategy is applied. The results of numerical simulations and the optimal control analysis illustrate that the combined implementation of time-dependent measures has a drastic impact on disease burden reduction. © 2022 IEEE.

关键词： COVID-19

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Mathematical Modeling of the Novel Coronavirus Pandemic in Iran: A Model With Vaccination 8

Mathematical Modeling of the Novel Coronavirus Pandemic in I...

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8th International Conference on control, Instrumentation and Automation, ICCIA 2022

作者： Shadi, Reza Fakharian, Ahmad Khaloozadeh, Hamid Qazvin Branch Islamic Azad University Faculty of Electrical Biomedical and Mechatronics Engineering Qazvin Iran K.N. Toosi University of Technology Department of Systems and Control Engineering Tehran Iran

ISBN: (纸本)9781665495691

The novel coronavirus (COVID-19) is a major health threat caused by a virus called Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). COVID-19 can cause acute respiratory illness, which is deadly in some people. Epidemio-logically, vaccination is the safest and most effective approach to gaining immunity and fighting against viral diseases. In this paper, the extended compartmental SEIR model, considering vaccination as a pharmaceutical intervention, to assess the behavior of the COVID-19 outbreak in Iran is proposed. Initially, some mathematical analysis of the model, including positivity, boundedness, the basic reproduction number, and herd immunity is investigated. In order to validate the proposed model, the biological parameters of the model are estimated based on real-confirmed cases in Iran at a specified interval of time. Finally, to examine the concept of flattening the curve of the disease outbreak, the impacts of physical distancing and vaccination on mitigating the burden of the epidemic are compared graphically. © 2022 IEEE.

关键词： Vaccines

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An Approach to eye-brain-computer interface development 5

An Approach to eye-brain-computer interface development

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5th International Youth Conference on Radio Electronics, Electrical and Power engineering, REEPE 2023

作者： Kondaurov, Leonid R. Baykova, Ekaterina A. Dmitriev, Alexander N. Boeva, Elizaveta S. Romanova, Ekaterina A. Haddad, Nekoula Bauman Moscow State Technical University Department of Biomedical Engineering Moscow Russia Bauman Moscow State Technical University Department of Information Processing and Control Systems Moscow Russia

ISBN: (纸本)9798350399523

Existing brain-computer interface (BCI) technologies used to improve the quality of life or rehabilitation of patients with motor disorders have a number of drawbacks, such as recorded signal instability during long-term use due to habituation, as well as relatively low information transfer rate. A possible alternative is the use of hybrid BCIs, particularly those based on an eyetracker. However, their widespread distribution for home use application limits the cost of such a complex. This paper describes an approach to developing an eye-brain-computer interface prototype. To test the developed prototype of eye-brain-computer interface (EBCI) complex an experimental study was performed involving 3 healthy subjects with synchronous EEG and an eyetracker signal recording. Stimulus frequency and target stimulus coordinates were varied. Evoked potential P300 parameters and eyetracker spatial errors during fixations on the monitor's reference points, as well as EEG and eyetracker synchronization accuracy were evaluated. As a result, P300 of typical shape was identified in 3 subjects. It was concluded that it is possible to use EBCI and further modify the synchronization algorithm. © 2023 IEEE.

关键词： Eye tracking

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Application of Machine Learning Models for Predicting Students' Performance in Mathematics: A K-Fold Approach

Application of Machine Learning Models for Predicting Studen...

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2024 International Conference on Science, engineering and Business for Driving Sustainable Development Goals, SEB4SDG 2024

作者： Ale, Felix Ikpaya, Ikpaya D. Danyan, Ilesanmi Opateye, Goodness O. Onwodi, Gregory Agboola, Olufemi O. National Space Research & Development Agency Department of Engineering & Space Systems Abuja Nigeria National Space Research & Development Agency Ground Station & Mission Control Abuja Nigeria Achievers University Department of Mechanical & Mechatronics Engineering Owo Nigeria National Open University of Nigeria Department of Computer Science Abuja Nigeria

ISBN: (纸本)9798350358155

Mathematics plays a pivotal role in science, technology and engineering. It is one of the compulsory subjects to gain admission into a higher institution in Nigeria. Considering its importance, students' performance has been a significant concern for most educators, government, parents and guardians. This study aims to predict students' performance in mathematics using the K-fold approach to support effective decision-making and policy implementation on mathematics. The primary dataset was collected from 192 senior secondary schools, and one mathematics student was randomly selected from five Senior Secondary Schools in Bwari Area Council, Abuja, and used as a sample. Students' Mathematics Achievement Test (SMAT) was used as the instrument to collect data. The data was processed and modelled using the Python Programming language. Thus, five machine learning models were trained and evaluated to overcome overfitting using four-, five - -, and six-fold K-Fold cross-validation techniques. Five folds performed best for all the models except for the Support Vector Regressor, which performed best with six folds. The evaluation of the models showed that the Light Gradient Boosting Model outperformed others with a Mean Absolute Error of 12.642 and a Root Mean Square Error of 15.894. The models were significantly influenced by the students' personal study time, friends' assistance, and the parents' educational background. It is therefore recommended that academic researchers, educational authorities in Nigeria, and relevant stakeholders use and improve on this model to predict the students' scores and assist them in achieving great performance in mathematics. © 2024 IEEE.

关键词： Mean square error

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Ultrasoft,sensitive fiber-like sensor by assembly of bacterial cellulose(BC)nanofibrils and BC molecules for biocompatible strain sensing

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Nano Research 2023年第3期16卷 4067-4076页

作者： Si Meng Yuyan Zhang Nihuan Wu Cheng Peng ZhiYao Huang Zhengjie Lin Cheng Qi Zhou Liu Tiantian Kong College of Chemistry and Environmental Engineering Shenzhen UniversityShenzhen 518000China Department of Biomedical Engineering School of MedicineShenzhen UniversityShenzhen 518000China D Printing Clinical Translational and Regenerative Medicine Center Shenzhen Qianhai Shekou Free Trade Zone HospitalShenzhen 518067China College of Mechatronics and Control Engineering Shenzhen UniversityShenzhen 518000China Department of Urology Inst Translat MedThe First Affiliated Hospital of Shenzhen UniversityShenzhen Second People’s HospitalShenzhen 518000China

The development of implantable bioelectronics is driven by emerging applications including continuous health monitoring and human-machine *** mechanical mismatch between implanted bioelectronics and tissues not only compromises device accuracy,but also causes interference with tissues *** address this issue,it is necessary to develop ultrasoft and biocompatible fiber strain sensor with proper stretchability and ***,we fabricate a bacterial cellulose-based sensing fiber which possesses the stretchability and elastic modulus(~102 kPa)close to those of soft *** addition,such fiber has high sensitivity to tiny tensile force/strain(8.8×10^(−3)N/2.5%)and low cell *** excellent properties make the bacterial cellulose(BC)-based sensing fiber an excellent candidate of implantable bioelectric devices for monitoring subtle motions of *** demonstrate this by applying it for continuous monitoring of human pulse and bullfrog ***(BC/oxBC)@PANI(ox=oxidized and PANI=polyaniline)fibers can further be woven into an array sensor and serve more complex sensing functions,such as multipoint force perception and shape recognition as demonstrated.

关键词： bioelectronics fiber bacteria cellulose spinning sensor

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Design of Robust controller for Tail-Sitter VTOL Aircraft 8

Design of Robust Controller for Tail-Sitter VTOL Aircraft

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8th IEEE International Conference on engineering Technologies and Applied Sciences, ICETAS 2023

作者： Husain, Suha S. Rasheed, Luay T. Mahmod, Rawnaq A. Hamza, Ekhlas K. Noaman, Noaman M. Humaidi, Amjad Jaleel University of Technology Department of Construction and Projects Baghdad Iraq University of Technology Control and Systems Eng. Department Baghdad Iraq Training & Energy Researches Office Ministry of Electricity Baghdad Iraq University of Technology Department of Mechatronics Engineering Bahrain University of Technology Control and Systems Eng. Dept. Baghdad Iraq

ISBN: (纸本)9798350327090

In this study, a robust controller design using an Integral Sliding Mode control (ISMC) approach for controlling the roll motion during the Vertical Take-off and Landing of Unmanned Air Vehicles (VTOL-UAV) is introduced. First, the mathematical model of the VTOL-UAV system is derived, and then the ISMC design is carried out via the system's states. The proposed controller design for controlling the VTOL-UAV system comprises two parts. The first handled the nominal term of the system, while the second tackled and mitigated the effects perturbations from the first instant. The computer simulation has been carried out to demonstrate the ISMC's robustness and its ability to reduce the chattering effect in the control signal. Furthermore, a performance comparison between the proposed controller and other controllers in the literature has been conducted. © 2023 IEEE.

关键词： controllers

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Design of RISE control for Respiratory System 8

Design of RISE Control for Respiratory System

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8th IEEE International Conference on engineering Technologies and Applied Sciences, ICETAS 2023

ISBN: (纸本)9798350327090

In this study, a new control strategy is presented and proposed, which is the Robust Integral of the Sign of Error (RISE). The RISE control strategy is designed to track the airway pressure in the mechanical ventilate process. The respiratory model is designed by combining a blower hose model and a single compartmental lung system with nonlinear lung compliance. For comparison purposes, the Sliding Mode control (SMC) strategy is designed and compared to the proposed control mechanism. RISE controller generates a smooth function;therefore, RISE is able to avoid the chattering phenomenon caused by the discontinuous part of the SMC. In addition, RISE control provides better performance than SMC and fewer tracking error. © 2023 IEEE.

关键词： Sliding mode control

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Observer-Based control of Second-Order Multi-vehicle systems in Bearing-Persistently Exciting Formations 63

Observer-Based Control of Second-Order Multi-vehicle Systems...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Tang, Zhiqi Fidan, Baris Johansson, Karl H. Martensson, Jonas Hamel, Tarek Kth Royal Institute of Technology Division of Decision and Control Systems School of Electrical Engineering and Computer Science StockholmSE-10044 Sweden University of Waterloo Mechanical and Mechatronics Engineering Department ON Canada I3S-UCA Cnrs France

ISBN: (纸本)9798350316339

This paper proposes an observer-based formation tracking control approach for multi-vehicle systems with second-order motion dynamics, assuming that vehicles' relative or global position and velocity measurements are unavailable. It is assumed that all vehicles are equipped with sensors capable of sensing the bearings relative to neighboring vehicles and only one leader vehicle has access to its global position. Each vehicle estimates its absolute position and velocity using relative bearing measurements and the estimates of neighboring vehicles received over a communication network. A distributed observer-based controller is designed, relying only on bearing and acceleration measurements. This work further explores the concept of the Bearing Persistently Exciting (BPE) formation by proposing new algorithms for bearing-based localization and state estimation of second-order systems in centralized and decentralized manners. It also examines conditions on the desired formation to guarantee the exponential stability of distributed observer-based formation tracking controllers. In support of our theoretical results, some simulation results are presented to illustrate the performance of the proposed observers as well as the observer-based tracking controllers. © 2024 IEEE.

关键词： Acceleration measurement

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A Multi-Player Potential Game Approach for Sensor Network Localization with Noisy Measurements 63

A Multi-Player Potential Game Approach for Sensor Network Lo...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Xu, Gehui Chen, Guanpu Fidan, Baris Hong, Yiguang Qi, Hongsheng Parisini, Thomas Johansson, Karl H. Kth Royal Institute of Technology Division of Decision and Control Systems School of Electrical Engineering and Computer Science Stockholm100 44 Sweden University of Waterloo Department of Mechanical and Mechatronics Engineering WaterlooONN2L 3G1 Canada Tongji University Department of Control Science and Engineering shanghai201804 China Shanghai Research Institute for Intelligent Autonomous Systems Shanghai201210 China Key Laboratory of Systems and Control Academy of Mathematics and Systems Science Beijing China University of Chinese Academy of Sciences School of Mathematical Sciences Beijing China Aalborg University Department of Electronic Systems Denmark Imperial College London Department of Electrical and Electronic Engineering LondonSW7 2AZ United Kingdom University of Trieste Department of Engineering and Architecture Italy

ISBN: (纸本)9798350316339

Sensor network localization (SNL) is a challenging problem due to its inherent non-convexity and the effects of noise in inter-node ranging measurements and anchor node position. We formulate a non-convex SNL problem as a multiplayer non-convex potential game and investigate the existence and uniqueness of a Nash equilibrium (NE) in both the ideal setting without measurement noise and the practical setting with measurement noise. We first show that the NE exists and is unique in the noiseless case, and corresponds to the precise network localization. Then, we study the SNL for the case with errors affecting the anchor node position and the inter-node distance measurements. Specifically, we establish that in case these errors are sufficiently small, the NE exists and is unique. It is shown that the NE is an approximate solution to the SNL problem, and that the position errors can be quantified accordingly. Based on these findings, we apply the results to case studies involving only inter-node distance measurement errors and only anchor position information inaccuracies. © 2024 IEEE.

关键词： Nash equilibrium

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