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Kartalol: A New Deep Neural Network Framework Based on Transfer Learning for Iris Segmentation and Localization Task: New Dataset for Iris Segmentation

SSRN

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SSRN 2022年

作者： Khiarak, Jalil Nourmohammadi Oskouei, Amin Golzari Nasab, Samaneh Salehi Jaryani, Farhang Moafinejad, Seyed Naeim Pourmohamad, Rana Amini, Yasin Noshad, Morteza Institute of Control and Computation Engineering Warsaw University of Technology Warsaw Poland Department of Computer Engineering Faculty of Electrical and Computer Engineering University of Tabriz Iran School of Engineering Lorestan University Aleshtar Campus Aleshtar Iran Malek-Ashtar University of Technology Department of Physics Shahid Beheshti University Tehran Iran School of Computing Informatics and Decision Systems Engineering Arizona State University AZ United States Faculty of Electrical and Computer Engineering University of Kharazmi Iran Stanford University United States

Iris segmentation and localization in unconstrained environments is challenging due to long distances, illumination variations, limited user cooperation, and moving subjects. Some existing methods in the literature, each of which has somehow mitigated some of the mentioned issues. In this paper, motivated by these weaknesses, we propose a framework that employs a deep neural network-based approach to iris segmentation and localization. The proposed framework is based on a U-Net architecture that has been initialized with a pre-trained MobileNetV2 model. In addition, we have collected 1000 images to study the detectors in iris recognition scenarios better. The provided dataset (KartalOl) is available free for the research community. In the proposed framework, to better generalizability, we fine-tune the MobileNetV2 model on the provided data for NIR-ISL 2021 from the CASIA-Iris-Asia, CASIA-Iris-M1, and CASIA-Iris-Africa and our dataset. Also, data augmentation technics are applied on images. We chose the binarization threshold for the binary masks by iterating over the images in the provided dataset. The proposed framework is trained and tested in CASIA-Iris-Asia, CASIA-Iris-M1, CASIA-Iris-Africa, along the KartalOl dataset. The experimental results highlight that our method surpasses state-of-the-art methods on mobile-based benchmarks. The codes and evaluation results are publicly available at https://***/Jalilnkh/KartalOl-NIR-ISL2021031301. © 2022, The Authors. All rights reserved.

关键词： Deep neural networks

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An Improved Method for Approximating the Infinite-horizon Value Function of the Discrete-time Switched LQR Problem

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IFAC-PapersOnLine 2023年第2期56卷 4138-4143页

作者： Tan Hou Yuanlong Li Zongli Lin Department of Automation Shanghai Jiao Tong University Shanghai 200240 China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai 200240 China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai 200240 China Charles L. Brown Department of Electrical and Computer Engineering University of Virginia P.O. Box 400743 Charlottesville VA 22904-4743 U.S.A.

This paper considers the problem of approximating the infinite-horizon value function of the discrete-time switched LQR problem. In particular, we propose a new value iteration method to generate a sequence of monotonically decreasing functions that converges exponentially to the value function. This method facilitates us to use coarse approximations resulting from faster but less accurate algorithms for further value iteration, and thus, our method is capable of achieving a better approximation for a given computation time compared with the existing methods. Two numerical examples are presented in this paper to illustrate the effectiveness of our method.

关键词： Switched linear systems optimal control switched LQR problem

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Aluminum Nitride Ring Resonator-Coupled Spin Defects in Hexagonal Boron Nitride for Integrated Quantum Photonics

Aluminum Nitride Ring Resonator-Coupled Spin Defects in Hexa...

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Conference on Lasers and Electro-Optics (CLEO)

作者： Henry C. Roberts Aadil Waseem Scott A. Wicker Hamza Abudayyeh Dong Seob Kim Zhida Liu Steven Randolph Xiaoqin Li Xiuling Li Department of Electrical and Computer Engineering Microelectronics Research Center The University of Texas at Austin Austin TX USA Department of Physics and Center for Complex Quantum Systems Center for Dynamics and Control of Materials and Texas Materials Institute The University of Texas at Austin Austin TX USA Center for Nanophase Materials Sciences Oak Ridge National Laboratory Oak Ridge TN USA

We report a new approach to generate waveguide-coupled emission from deterministically implanted boron vacancy spin defects in hBN using single-crystal AlN-on-sapphire ring resonators. This facilitates the eventual de... 详细信息

ISBN: (纸本)9798350369311

关键词： Boron Waveguide lasers Ring lasers Optical ring resonators Electro-optical waveguides Photonics Aluminum nitride

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Design and experimental implementation of multi-loop LQR, PID, and LQG controllers for the trajectory tracking control of twin rotor MIMO system 3rd

Design and experimental implementation of multi-loop LQR, PI...

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3rd International Conference on Intelligent Communication, control and Devices, ICICCD 2018

作者： Valluru, Sudarshan K. Singh, Madhusudan Ayush Dharavath, Abhiraj Department of Electrical Engineering Incubation Center for Control Dynamical Systems and Computation Delhi Technological University New DelhiDelhi110042 India

ISBN: (纸本)9789811386176

One DOF (degree of freedom) Twin Rotor multi-input multi-output system (TRMS) is one of the benchmarked dynamical systems which has striking comparability with Helicopter. Design of controllers for such complex air vehicle is a daunting task as it has inherent nonlinearities and cross-coupling between its main and tail rotors. Therefore, it is an interesting laboratory benchmarked control problem, to test the performance of various controllers. The control techniques focused in this paper are the experimental implementation of multi-loop controllers such as Linear Quadratic Regulator (LQR), linear proportional integral derivative (L-PID), and Linear Quadratic Gaussian (LQG) controllers on TRMS system to verify the performance of these controllers. © Springer Nature Singapore Pte Ltd. 2020.

关键词： controllers

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Fixed-Time Virtual Inertia control for Frequency Stability in Islanded Mgs

Fixed-Time Virtual Inertia Control for Frequency Stability i...

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IEEE Industry Applications Society Annual Meeting (IAS)

作者： Mohamed Zaery Hossam Ali Syed Muhammad Amrr S.M. Suhail Hussain Vijay Vittal Mohammad A. Abido K.A.CARE Energy Research & Innovation Center King Fahd University of Petroleum and Minerals (KFUPM) Dhahran Saudi Arabia Department of Electrical Engineering Faculty of Energy Engineering Aswan University Aswan Egypt School of Electrical Arizona State University Computer and Energy Engineering Tempe AZ USA Control & Instrumentation Engineering Department King Fahd University of Petroleum and Minerals (KFUPM) Dhahran Saudi Arabia Interdisciplinary Research Center for Sustainable Energy Systems King Fahd University of Petroleum and Minerals Dhahran Saudi Arabia Electrical Engineering Department King Fahd University of Petroleum and Minerals (KFUPM) Dhahran Saudi Arabia SDAIA-KFUPM Joint Research Center for Artificial Intelligence King Fahd University of Petroleum & Minerals (KFUPM) Dhahran Saudi Arabia

ISBN: (数字)9798350372717

ISBN: (纸本)9798350372724

This paper introduces a novel control strategy, Fixed-time Virtual Inertia (Fxt-VI), designed to enhance frequency stability in islanded microgrids (MGs) that typically lack synchronous generation. Unlike traditional power systems, which rely on physical inertia, MGs necessitate inertia emulation due to the integration of fluctuating renewable energy sources. A key feature of the proposed Fxt-VI control strategy is its ability to quickly resolve frequency deviations within a predefined time frame, regardless of the initial system conditions. This ensures accelerated and predictable stabilization times. A thorough analysis using Lyapunov-based method is developed to validate the stability of the designed control strategy within a fixed time. Simulations in an islanded microgrid setup, including various energy sources such as thermal, wind, solar power plants, and energy storage systems, demonstrate the efficacy of the proposed Fxt-VI controller. Moreover, this paper provides a comparative evaluation of the proposed FxT-VI controller in relation to robust $\mathrm{H}-\infty$ and optimal PI controllers. The results show that it not only achieves quicker stabilization but also maintains lower frequency deviations compared to traditional methods, as assessed through specific performance metrics.

关键词： Time-frequency analysis Renewable energy sources Simulation Microgrids Power system stability Stability analysis Time factors Thermal stability Frequency control Power generation

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Design of switching state-feedback controllers for linear systems subject to asymmetric saturations *

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IFAC-PapersOnLine 2023年第2期56卷 3265-3270页

作者： Adrián Ruiz Damiano Rotondo Bernardo Morcego Research Center for Supervision Safety and Automatic Control Universitat Politècnica de Catalunya (UPC) Rambla Sant Nebridi 22 08222 Terrassa Spain Department of Electrical and Computer Engineering (IDE) University of Stavanger (UiS) Kristine Bonnevies vei 22 4021 Stavanger Norway

This paper considers the problem of controlling a linear system affected by asymmetrical input saturation. The proposed solution is based on using a linear matrix inequality (LMI)-based methodology to find the gains of a switching state-feedback controller. The main difference and contribution when compared to existing approaches is that the switching rule is chosen based on the closed-loop performance that each of the non-saturating controller gains can achieve when used with the current value of the state vector. Although the main focus of the paper is on time-invariant systems, the possible extension to linear parameter-varying (LPV) systems is discussed. An illustrative example is used to show the main features of the proposed approach.

关键词： Linear systems Saturation Linear matrix inequalities (LMIs)

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A quantum algorithm to simulate Lindblad master equations

arXiv

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arXiv 2024年

作者： Borras, Evan Marvian, Milad Center for Quantum Information and Control University of New Mexico AlbuquerqueNM87131 United States Department of Physics and Astronomy University of New Mexico AlbuquerqueNM87131 United States Department of Electrical & Computer Engineering University of New Mexico AlbuquerqueNM87131 United States

We present a quantum algorithm for simulating a family of Markovian master equations that can be realized through a probabilistic application of unitary channels and state preparation. Our approach employs a second-order product formula for the Lindblad master equation, achieved by decomposing the dynamics into dissipative and Hamiltonian components and replacing the dissipative segments with randomly compiled, easily implementable elements. The sampling approach eliminates the need for ancillary qubits to simulate the dissipation process and reduces the gate complexity in terms of the number of jump operators. We provide a rigorous performance analysis of the algorithm. We also extend the algorithm to time-dependent Lindblad equations, generalize the noise model when there is access to limited ancillary systems, and explore applications beyond the Markovian noise model. A new error bound, in terms of the diamond norm, for second-order product formulas for time-dependent Liouvillians is provided that might be of independent interest. Copyright © 2024, The Authors. All rights reserved.

关键词： Hamiltonians

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Experimental validation of fully informed particle swarm optimization tuned multi-loop L-PID controllers for stabilization of gantry crane system 3rd

Experimental validation of fully informed particle swarm opt...

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3rd International Conference on Intelligent Communication, control and Devices, ICICCD 2018

作者： Valluru, Sudarshan K. Singh, Madhusudan Dobhal, Daksh Kartikeya, Kumar Kaur, Manpreet Goel, Arnav Department of Electrical Engineering Incubation Center for Control Dynamical Systems and Computation Delhi Technological University New DelhiDelhi110042 India

ISBN: (纸本)9789811386176

Linear PID controllers are commonly used as an electrical component to decrease the error between anticipated set value and actual measured values for control of various benchmarked systems. The Multi-Loop Linear PID (ML-PID) controller, gives a robust and efficient performance in most of the situations. This paper presents the implementation of linear PID controller to stabilize and control the Gantry Crane System. Optimal performance is obtained for a few specific combinations of the proportional, integral, and derivative gains, which makes it essential to tune these values through Optimization techniques. The Fully Informed Particle Swarm Optimizer (FIPSO) is used to tune the gain values of the ML-PID controlled Gantry Crane System. These values are validated experimentally, and obtained results prove that the FIPSO tuned multi-loop linear PID controller quickly stabilizes the system subjected to external disturbances. © Springer Nature Singapore Pte Ltd. 2020.

关键词： controllers

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Robust control of Feeding Speed in Coal Seam Drilling Process Considering Borehole Friction

Robust Control of Feeding Speed in Coal Seam Drilling Proces...

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Chinese Automation Congress (CAC)

作者： Xiao Liu Luefeng Chen Chengda Lu Haipeng Fan Min Wu Witold Pedrycz School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems School of Automation China University of Geosciences Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China Department of Electrical and Computer Engineering University of Alberta Edmonton AB Canada Systems Research Institute Polish Academy of Sciences Warsaw Poland Department of Computer Engineering Istinye University Istanbul Turkey

ISBN: (数字)9798350368604

ISBN: (纸本)9798350368611

During the coal seam drilling process, the drill string is subject to compressive deformation, compounded by unpredictable variations in formation hardness and borehole wall friction, leading to challenges in maintaining a stable feeding speed. This paper presents a novel approach by introducing uncertain parameters to describe the effects of formation hardness and borehole wall friction. Drill string axial movement model is modeled as a polyhedral system based on a lumped parameter representation. To meet industrial performance requirements, we design a robust $H_{\infty}$ controller to achieve consistent feeding speed control. Our simulation results demonstrate the controller's effectiveness in ensuring system stability despite fluctuations in formation hardness and drill string friction.

关键词： Drilling Robust control Friction Simulation Geology Velocity control Stability criteria Process control Coal Output feedback

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On Enlarging the Domain of Attraction for Linear Systems Subject to Asymmetric Actuator Saturation

On Enlarging the Domain of Attraction for Linear Systems Sub...

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IEEE Conference on Decision and control

作者： Wenxin Lai Yuanlong Li Zongli Lin Department of Automation Shanghai Jiao Tong University Shanghai China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai China Charles L. Brown Department of Electrical and Computer Engineering University of Virginia Charlottesville VA U.S.A.

In this paper, we revisit the problem of enlarging the domain of attraction for linear systems with asymmetric actuator saturation. We partition the state space into several regions according to the sign of each input and rewrite the linear system subject to asymmetric actuator saturation as an equivalent switched system, each subsystem of which is associated with one partition of the state space and is a linear system subject to symmetric actuator saturation. Based on this equivalent representation of the system, we present a Lyapunov function, which is composed of a set of quadratic functions associated with matrices that are not required to be positive definite. We establish sufficient conditions for regional stability and, based on them, formulate optimization problems to enlarge the estimate of the domain of attraction. Simulation results illustrate the effectiveness of the proposed approach.

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