In this work, we develop an attention convolutional neural network (CNN) to segment brain tumors from Magnetic Resonance Images (MRI). Further, we predict the survival rate using various machine learning methods. We a...
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Water is an essential need for human survival and the quality of the water always affects human health. If water is contaminated its leads to severe diseases. For the same reason, we must monitor the quality of the wa...
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Nonlinearities and disturbances are two major challenges faced while designing control for vehicle anti-lock braking system. A robust disturbance observer based sliding mode controller is proposed to address these cha...
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In this paper, performance limitations of the conventional front wheel steering (FWS) system is analyzed in order to design the controller that can improve the vehicle handling and stability. By adding steering input ...
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Most of the industrial processes are employed with conventional Proportional Integral Derivative controller. To keep up with the raising trends of automation, digital controller technology is employed using a low cost...
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A controller design based on the internal model control principle is introduced as an alternative to the repetitive control structure to attenuate the periodic disturbance. Such a disturbance phenomenon is observed fo...
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In this paper, we study ensemble intelligent system for individual identification using ECG (electrocardiogram) signal by combining several time-frequency representations and CNN models. The ECG signal is a bio-signal...
ISBN:
(数字)9781728143811
ISBN:
(纸本)9781728143828
In this paper, we study ensemble intelligent system for individual identification using ECG (electrocardiogram) signal by combining several time-frequency representations and CNN models. The ECG signal is a bio-signal that measures the minute potential difference generated by heart activity through the skin of the body surface. ECG signals have an advantage in personal identification because the source of the signal is hidden inside the body and the measurement equipment is inexpensive. However the ECG signals are sensitive to noise. Time-frequency representation gives observation of frequency changes in signal over time and allows robust analysis of noise. The log-spectrogram, mel-spectrogram, spectrogram, MFCC(Mel Frequency Cepstral Coefficient), and scalogram are considered as time-frequency representations. CNN(Convolutional Neural Network) is a neural network designed to enable feature extraction and classification of images to be learned in a single structure. Xception, ResNet, and DenseNet are famous models in CNN and are used in this study. PTB (Physikalisch-Technische Bundesanstalt)-ECG database is used for experiment. The ensemble CNNs have shown higher than single CNN.
This paper presents a high-performance nonlinear control strategy for a three-phase, two-level boost Power Factor Correction (PFC) rectifier. The proposed control method aims to achieve superior performance in terms o...
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ISBN:
(数字)9798331531577
ISBN:
(纸本)9798331531584
This paper presents a high-performance nonlinear control strategy for a three-phase, two-level boost Power Factor Correction (PFC) rectifier. The proposed control method aims to achieve superior performance in terms of power factor correction, output voltage regulation, and dynamic response under various operating conditions. Utilizing advanced nonlinear control techniques, the system ensures optimal tracking of the reference signals, minimizing total harmonic distortion (THD) and improving overall efficiency. The effectiveness of the control strategy is validated through extensive simulations and experimental results, demonstrating significant improvements in the transient and steady-state performance of the rectifier. This approach provides a robust and efficient solution for PFC applications in modern power electronics systems.
A generally applicable design of non-collocated vibration absorption by a delayed resonator is proposed. It is grounded in the direct assignment of imaginary axis zeros of the transfer function between the periodic di...
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A generally applicable design of non-collocated vibration absorption by a delayed resonator is proposed. It is grounded in the direct assignment of imaginary axis zeros of the transfer function between the periodic disturbance force and the target. We show that these transmission zeros are characterized as eigenvalues of a delay differential-algebraic system. Furthermore, a stabilizing local controller is added to the setup in order to widen the range of admissible vibration frequencies. These design requirements are translated into an optimization problem of the spectral abscissa function subjected to zero location constraints. The presented approach and algorithm are validated by a simulation on a three body lumped mass-spring system.
Electric vehicles, when it is running in frequent start and stop pattern in urban road condition, significant amount of energy is wasted in wheels during braking. Instead of wasting energy, the kinetic energy can be c...
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