automatic or semi-automatic recognition of selected emotions using Machine Learning (ML) algorithms requires practical, fast and accurate implementation of the steps involved in acquiring the actual signals (e.g. spee...
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ISBN:
(数字)9798331527563
ISBN:
(纸本)9798331527570
automatic or semi-automatic recognition of selected emotions using Machine Learning (ML) algorithms requires practical, fast and accurate implementation of the steps involved in acquiring the actual signals (e.g. speech, facial expression, posture and body movements), recording them in the form of an optimal feature vector/matrix, correctly interpreting the above data and reproducing and generalising this process within the ML system. Depending on the accuracy and speed required and the degree of its ‘invasiveness’ (e.g. by attaching sensors to the user’s body), single or multi-modal interpretations of biometric signals associated with different groups of emotions are possible. This group of studies, despite their relative non-invasiveness, requires the caution prescribed by the Artificial Intelligence (AI) Act and RODO Act and the possibility of being replaced (if necessary) by alternatives. This article aims to analyse the opportunities and risks associated with this group of technologies, with a particular focus on directions for further development.
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 spr...
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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.
In recent decades, data from different industrial processes and machinery are usually collected and monitored thanks to new technologies. One of the main objectives is to explore and extract knowledge from the collect...
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Independent smart cars are one of the applications of generic technology sets used to improve vehicle independence driving features, partially or completely. Often, real solutions refer to some mobile robot technologi...
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This paper presents a Hardware-in-the-loop (HIL) simulation methodology for teleoperating the cable-driven manipulator system. This system includes a joystick device, designated as a delta robot, used for controlling ...
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ISBN:
(数字)9798350386073
ISBN:
(纸本)9798350386080
This paper presents a Hardware-in-the-loop (HIL) simulation methodology for teleoperating the cable-driven manipulator system. This system includes a joystick device, designated as a delta robot, used for controlling the manipulator by the HIL simulation technique in the teleoperation system. First of all, the kinematic mathematics of multiple Degrees of freedom (DOF) manipulator is verified with the HIL simulation method. Furthermore, the teleoperation algorithm is employed to guarantee the simultaneous utilization of the two workspaces. Besides, the joystick device is connected to the manipulator on Matlab Simulink 2022b to generate the communication protocol for teleoperation control. Finally, the effectiveness of the HIL simulation method is evaluated by some experiments on the teleoperated cable-driven manipulator system.
In this research paper,an improved strategy to enhance the performance of the DC-link voltage loop regulation in a Doubly Fed Induction Generator(DFIG)based wind energy system has been *** proposed strategy used the r...
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In this research paper,an improved strategy to enhance the performance of the DC-link voltage loop regulation in a Doubly Fed Induction Generator(DFIG)based wind energy system has been *** proposed strategy used the robust Fractional-Order(FO)Proportional-Integral(PI)control *** FOPI control contains a non-integer order which is preferred over the integer-order control owing to its *** offers extra flexibility in design and demonstrates superior outcomes such as high robustness and *** optimal gains of the FOPI controller have been determined using a recent Manta Ray Foraging Optimization(MRFO)*** the optimization process,the FOPI controller’s parameters are assigned to be the decision variables whereas the objective function is the error racking that to be *** prove the superiority of the MRFO algorithm,an empirical comparison study with the homologous particle swarm optimization and genetic algorithm is *** obtained results proved the superiority of the introduced strategy in tracking and control performances against various conditions such as voltage dips and wind speed variation.
We present a novel efficient method to control the end- effector of robotic manipulators without solving the inverse kinematics problem in the presence of the hard bound on the joint space motion. The basic Proportio...
We present a novel efficient method to control the end- effector of robotic manipulators without solving the inverse kinematics problem in the presence of the hard bound on the joint space motion. The basic Proportional–Integral-Derivative (PID) controller is combined with a nonlinear law to track the position and control the joint move within physical limits. To provide the adaptive ability of such the controller, a neural control signal is integrated to compensate for the internal and external disturbances in the robot dynamic. Stability of the closed-loop system is guaranteed by Lyapunov constraints. The proposed controller is validated in intensive simulation results.
This paper proposes a method to reduce the energy consumption of an industrial disassembly process implemented on a production line by using an energy-efficient secondary disassembly process. In the case of defective ...
This paper proposes a method to reduce the energy consumption of an industrial disassembly process implemented on a production line by using an energy-efficient secondary disassembly process. In the case of defective products, the flow directs the simple product with priority to be disassembled in workstation (WS) 7. Therefore, all defective products are redirected to WS7. The disassembly of all simple products in WS7 is problematic for two reasons: the power consumption of WS7 is high compared to the other workstations, additionally there is an increased possibility of bottlenecks in the production line due to the high disassembly time. The proposed solution to reduce the possibility of deadlock and reduce power consumption is to redirect the defective products to the flexible cell (FC). Handling robots located in neighboring stations will participate collaboratively in the disassembly process. The control structure ensures that the two robots "meet" in the boundary plane of WS3 with WS4 and disassemble each component through collaborative tasks. Collaborative control of disassembly is thought of as a solution to the global "fluidization" of production, removing the bottleneck, from the overall flow, but also as an ingenious solution to reduce energy consumption.
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-orde...
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.
The research on Unmanned Aerial Vehicles(UAV)has intensified considerably thanks to the recent growth in the fields of advanced automaticcontrol,artificial intelligence,and *** this paper,a Grey Wolf Optimization(GWO...
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The research on Unmanned Aerial Vehicles(UAV)has intensified considerably thanks to the recent growth in the fields of advanced automaticcontrol,artificial intelligence,and *** this paper,a Grey Wolf Optimization(GWO)algorithm is proposed and successfully applied to tune all effective parameters of Fast Terminal Sliding Mode(FTSM)controllers for a quadrotor UAV.A full control scheme is first established to deal with the coupled and underactuated dynamics of the *** for altitude,attitude,and position dynamics become separately designed and *** work around the repetitive and time-consuming trial-error-based procedures,all FTSM controllers’parameters for only altitude and attitude dynamics are systematically tuned thanks to the proposed GWO *** a hard and complex tuning task is formulated as a nonlinear optimization problem under operational *** performance and robustness of the GWO-based control strategy are compared to those based on homologous metaheuristics and standard terminal sliding mode *** simulations are carried out to show the effectiveness and superiority of the proposed GWO-tuned FTSM controllers for the altitude and attitude dynamics’stabilization and *** statistical analyses revealed that the GWO algorithm is more competitive with high performance in terms of fastness,non-premature convergence,and research exploration/exploitation capabilities.
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