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CLEO: Science and Innovations in CLEO 2024, CLEO: S and I 2024 - Part of Conference on Lasers and Electro-Optics

作者： Roberts, Henry C. Waseem, Aadil Wicker, Scott A. Abudayyeh, Hamza Kim, Dong Seob Liu, Zhida Randolph, Steven Li, Xiaoqin Li, Xiuling Department of Electrical and Computer Engineering Microelectronics Research Center The University of Texas at Austin 10100 Harry Ransom Trail AustinTX78758 United States Department of Physics Center for Complex Quantum Systems Center for Dynamics Control of Materials Texas Materials Institute The University of Texas at Austin 2515 Speedway AustinTX78712 United States Center for Nanophase Materials Sciences Oak Ridge National Laboratory Oak RidgeTN37830 United States

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 development of hBN-based integrated quantum technologies. © Optica Publishing Group 2024

关键词： Single crystals

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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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2024 Conference on Lasers and Electro-Optics, CLEO 2024

作者： Roberts, Henry C. Waseem, Aadil Wicker, Scott A. Abudayyeh, Hamza Kim, Dong Seob Liu, Zhida Randolph, Steven Li, Xiaoqin Li, Xiuling Department of Electrical and Computer Engineering Microelectronics Research Center The University of Texas at Austin 10100 Harry Ransom Trail AustinTX78758 United States Department of Physics Center for Complex Quantum Systems Center for Dynamics and Control of Materials Texas Materials Institute The University of Texas at Austin 2515 Speedway AustinTX78712 United States Center for Nanophase Materials Sciences Oak Ridge National Laboratory Oak RidgeTN37830 United States

ISBN: (纸本)9781957171395

关键词： Aluminum nitride

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Effect of Dy2O3 on the phase formation and electrical properties of Tl-1223 HTS

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Fizika Nizkikh Temperatur 2025年第1期51卷 59-63页

作者： Metskhvarishvili, I.R. Menelaou, Melita Lobzhanidze, T.E. Dgebuadze, G.N. Surmanidze, D.L. Bendeliani, B.G. Gabunia, V.M. Metskhvarishvili, M.R. Jishiashvili, D.A. Ilia Vekua Sukhumi Institute of Physics and Technology Laboratory of Cryogenic Technique and Technologies Georgia Tbilisi0186 Georgia Georgian Technical University Faculty of Informatics and Control Systems Department of Microprocessor and Measurement Systems Tbilisi0175 Georgia Department of Mechanical Engineering and Materials Science and Engineering Cyprus University of Technology Limassol3036 Cyprus Ivane Javakhishvili Tbilisi State University Faculty of Exact and Natural Sciences Department of Chemistry Tbilisi0179 Georgia Petre Melikishvili Institute of Physical and Organic Chemistry the Iv. Javakhishvili Tbilisi State University Tbilisi0186 Georgia "Talga" Institute of Georgian Technical University Tbilisi0186 Georgia V. Chavchanidze Institute of Cybernetics the Georgian Technical University Tbilisi0186 Georgia

TlBa2Ca2Cu3DyxO8+δ superconductor samples (x = 0–0.075) were prepared by a two-step solid-state reaction technique to investigate the impact of Dy2O3 (dysprosium sesquioxide) addition on the formation and the transport properties of the Tl-1223 phase. The samples were analyzed using X-ray powder diffraction, ac susceptibility, and high-harmonics temperature dependence to study the effects of Dy2O3 on phase formation, superconducting transition temperature Tc, and the intergrain critical current density Jc. XRD results revealed that the prepared samples are nearly single-phases Tl-1223 with a tetragonal structure. Tc is not suppressed as Dy content increased, while Jc increased up to x = 0.025, then decreased with a further increase in x. Our findings show that the presence of dysprosium sesquioxide promotes the high-Tc phase and enhances the transport critical current densities. © I. R. Metskhvarishvili, Melita Menelaou, T. E. Lobzhanidze, G. N. Dgebuadze, D. L. Surmanidze, B. G. Bendeliani, V. M. Gabunia, M. R. Metskhvarishvili, and D. A. Jishiashvili, 2025.

关键词： X ray powder diffraction

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Effects of Increased Catheter Contact Force on the Ablation Impedance in the Radiofrequency Catheter Ablation of Cardiac Arrhythmias 3

Effects of Increased Catheter Contact Force on the Ablation ...

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3rd IEEE Eurasia Conference on biomedical engineering, Healthcare and Sustainability, ECbioS 2021

作者： Masnok, Kriengsak Watanabe, Nobuo Biofluid Science and Engineering Laboratory Functional Control Systems Graduate School of Engineering and Science Shibaura Institute of Technology Saitama Japan Department of Bio-Science and Engineering College of Systems Engineering and Science Shibaura Institute of Technology Saitama Japan

ISBN: (纸本)9781728193045

Catheter contact force is well known as one of the factors which has a strong positive correlation with lesion formation. We hypothesized that the catheter contact force substantially affects the ablation impedance variation during radiofrequency (RF) catheter cardiac ablation, due to its direct effect on the electrical current output from the RF generator. However, such a hypothesis needs to be validated through further investigation. Therefore, the purpose of this study was to understand the effect of the catheter contact force related to the contact angle on the ablation impedance in the radiofrequency catheter cardiac ablation process. Thus, we developed a special in vitro experimental system that enables to precisely set the catheter contact angle to the heart tissue's surface. The catheter ablation test was held at five different contact angles to the heart tissue surface. A RF current was delivered at each angle at contact force values of 2, 4, 6, 10, 15, 20, 30, and 40 gf. RF catheter ablation examination was repeated six times each for the five levels of contact angles and eight levels of contact forces. Then, the maximum impedance and average impedance during the ablation process for each condition were recorded. The results revealed that the catheter contact force has a significant correlation with ablation impedance. When the contact force was increased, the different impedance between the maximum impedance and average impedance also increased. The percentage of contact area also has a significant correlation with the ablation impedance. When the percentage of contact area was increased, the different impedance between the maximum and the average impedance also increased. However, the ablation impedance did not have a significant difference with each catheter contact angle. The present study showed a significant impact of the catheter contact force on the ablation impedance in RF catheter ablation systems. © 2021 ECbioS 2021. All rights reserved.

关键词： Contact angle

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A Machine Learning Classifier for Detection of Performance Issues in Industrial Closed-Loop PID controllers

A Machine Learning Classifier for Detection of Performance I...

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International Conference on control, Decision and Information Technologies (CoDIT)

作者： Mehmet Yağcı Krister Forsman Jari M. Böling Neste Oyj Turku Finland Laboratory of Process and Systems Engineering Åbo Akademi University Turku Finland Perstorp AB Perstorp Sweden Department of Chemical Engineering NTNU Throndheim Norway Department of Mechanical and Materials Engineering University of Turku Turku Finland

ISBN: (数字)9798350373974

ISBN: (纸本)9798350373981

The tight production objectives and dynamically evolving conditions within industries necessitate the diligent monitoring and evaluation of control assets’ operational health. During the past decades, a lot of data-driven methods, using fundamentals of signal processing and process control or machine learning, have been developed to detect performance issues in control loops. One of those, machine learning based methods, has also become popular in recent years. However, the complexity of algorithms used, incapability of predicting more than “good” or “bad” or need for process excitations limits the practical use of these methods in large industrial scale. In this paper, an easy-to-use classifier has been developed which is based on only routine industrial closed-loop data available and common for many control systems. The developed classifier is able to classify the control loops as acceptable, aggressive tuning, sluggish tuning, stiction and external disturbance, which account for almost all common and major problems experienced in closed-loop PID controllers. The features calculated and given to the classifier are immensely easy-to-obtain metrics based on histograms of control error, auto-correlation function, and impulse response. The developed classifier has an 88% training and 85% test accuracy. The classifier has also been tested with a set of industrial loops assessed extensively by process control engineers and able to predict the true class of 88% of the loops, with a 3% false negative rate.

关键词： Training Measurement Process control Signal processing algorithms Machine learning Production Signal processing Prediction algorithms Tuning Monitoring

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Suboptimal Bayesian Filters for Markov Jump Linear systems with Unknown Noise Covariance

Suboptimal Bayesian Filters for Markov Jump Linear Systems w...

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International Conference on control and Automation (ICCA)

作者： Shuang Gao Xiaoli Luan Biao Huang Shunyi Zhao Haiying Wan Fei Liu Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Jiangnan University Wuxi China Department of Chemical and Materials Engineering University of Alberta Edmonton AB Canada

ISBN: (数字)9798350354409

ISBN: (纸本)9798350354416

The quality of measurements plays a crucial role in industrial processes. This paper proposes a novel suboptimal filter for Markov jump linear systems (MJLSs) that deals with the challenge of unknown measurement covariance. To limit the number of feasible mode sequences, variational Bayesian (VB) inference is employed to approximate the posterior Gaussian mixture distribution. This is achieved by representing it as a product of Gaussian and categorical distribution, aiming to minimize the Kullback-Leibler (KL) divergence. The resultant recursion turns out to be a new suboptimal Bayesian estimator, adept at simultaneously estimating system states, modal state, and measurement noise covariance, all within a unified probabilistic framework. The target tracking example is presented to illustrate that the proposed method is a competitive alternative to existing suboptimal estimation methods.

关键词： Linear systems Maximum likelihood detection Target tracking Accuracy Noise Nonlinear filters Bayes methods

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Reconfiguring confined magnetic colloids with tunable fluid transport behavior

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National Science Review 2021年第5期8卷 147-157页

作者： Zhizhi Sheng Mengchuang Zhang Jing Liu Paolo Malgaretti Jianyu Li Shuli Wang Wei Lv Rongrong Zhang Yi Fan Yunmao Zhang Xinyu Chen Xu Hou State Key Laboratory of Physical Chemistry of Solid Surfaces College of Chemistry and Chemical EngineeringXiamen University Collaborative Innovation Center of Chemistry for Energy Materials Xiamen University Department of Physics Research Institute for Biomimetics and Soft MatterFujian Provincial Key Laboratory for Soft Functional Materials ResearchJiujiang Research InstituteCollege of Physical Science and TechnologyXiamen University Max Planck Institute for Intelligent Systems IV Institute for Theoretical Physics University of Stuttgart Department of Mechanical Engineering McGill University Department of Biomedical Engineering McGill University Tan Kah Kee Innovation Laboratory

Collective dynamics of confined colloids are crucial in diverse scenarios such as self-assembly and phase behavior in materials science, microrobot swarms for drug delivery and microfluidic control. Yet,fine-tuning the dynamics of colloids in microscale confined spaces is still a formidable task due to the complexity of the dynamics of colloidal suspension and to the lack of methodology to probe colloids in confinement. Here, we show that the collective dynamics of confined magnetic colloids can be finely tuned by external magnetic fields. In particular, the mechanical properties of the confined colloidal suspension can be probed in real time and this strategy can be also used to tune microscale fluid transport. Our experimental and theoretical investigations reveal that the collective configuration characterized by the colloidal entropy is controlled by the colloidal concentration, confining ratio and external field strength and direction. Indeed, our results show that mechanical properties of the colloidal suspension as well as the transport of the solvent in microfluidic devices can be controlled upon tuning the entropy of the colloidal suspension. Our approach opens new avenues for the design and application of drug delivery, microfluidic logic, dynamic fluid control, chemical reaction and beyond.

关键词： confined magnetic colloids entropy pressure threshold fluid transport liquid gating technology

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Surrogate Empowered Sim2Real Transfer of Deep Reinforcement Learning for ORC Superheat control

arXiv

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arXiv 2023年

作者： Lin, Runze Luo, Yangyang Wu, Xialai Chen, Junghui Huang, Biao Xie, Lei Su, Hongye State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou310027 China Department of Chemical and Materials Engineering University of Alberta EdmontonABT6G 2G6 Canada Huzhou Key Laboratory of Intelligent Sensing and Optimal Control for Industrial Systems School of Engineering Huzhou University Huzhou313000 China Department of Chemical Engineering Chung-Yuan Christian University Taoyuan32023 Taiwan

The Organic Rankine Cycle (ORC) is widely used in industrial waste heat recovery due to its simple structure and easy maintenance. However, in the context of smart manufacturing in the process industry, traditional model-based optimization control methods are unable to adapt to the varying operating conditions of the ORC system or sudden changes in operating modes. Deep reinforcement learning (DRL) has significant advantages in situations with uncertainty as it directly achieves control objectives by interacting with the environment without requiring an explicit model of the controlled plant. Nevertheless, direct application of DRL to physical ORC systems presents unacceptable safety risks, and its generalization performance under model-plant mismatch is insufficient to support ORC control requirements. Therefore, this paper proposes a Sim2Real transfer learning-based DRL control method for ORC superheat control, which aims to provide a new simple, feasible, and user-friendly solution for energy system optimization control. Experimental results show that the proposed method greatly improves the training speed of DRL in ORC control problems and solves the generalization performance issue of the agent under multiple operating conditions through Sim2Real transfer. Copyright © 2023, The Authors. All rights reserved.

关键词： Reinforcement learning

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Oxidation of emerging organic contaminants by in-situ H_(2)O_(2) fenton system

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Green Energy & Environment 2024年第3期9卷 417-434页

作者： Yuqin Ni Chuxiang Zhou Mingyang Xing Yi Zhou State Environmental Protection Key Lab of Environmental Risk Assessment and Control on Chemical Processes School of Resources&Environmental EngineeringEast China University of Science and TechnologyShanghai200237China Key Laboratory for Advanced Materials and Institute of Fine Chemicals National Engineering Laboratory for Industrial Wastewater TreatmentSchool of Chemistry and Molecular EngineeringEast China University of Science and Technology130 Meilong RoadShanghai200237China Department of Applied Natural Sciences Technische Hochschule LubeckMonkhofer Weg 23923562 LubeckGermany

The existence and risk of emerging organic contaminants(EOCs)have been under consideration and paid much effort to degrade these *** system is one of the most widely used technologies to solve this *** original Fenton system relies on the hydroxyl radicals produced by Fe(Ⅱ)/H_(2)O_(2) to oxidize the organic ***,the application of the Fenton system is limited by its low iron cycling efficiency and the high risks of hydrogen peroxide transportation and *** introduction of external energy(including light and electricity etc.)can effectively promote the Fe(Ⅲ)/Fe(Ⅱ)cycle and the reduction of oxygen to produce hydrogen peroxide in *** review introduces three in-situ Fenton systems,which are electro-Fenton,Photo-Fenton,and chemical *** mechanism,influencing factors,and catalysts of these three in-situ Fenton systems in degrading EOCs are discussed *** review strengthens the understanding of Fenton and in-situ Fenton systems in degradation,offering further insight into the real application of the in-situ Fenton system in the removal of EOCs.

关键词： In-situ H_(2)O_(2)production Fenton Emerging organic contaminants Photocatalysis Electrocatalysis

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Soil Moisture Estimation for Large-scale Agro-hydrological systems with Model Mismatch

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IFAC-PapersOnLine 2024年第14期58卷 176-183页

作者： Zhuangyu Liu Xiaoli Luan Jinfeng Liu Shunyi Zhao Fei Liu Haiying Wan Key Laboratory of Advanced Process Control for Light Industry Jiangnan University Wuxi 214122 China Department of Chemical & Materials Engineering University of Alberta Edmonton AB T6G 1H9 Canada

Developing a precise irrigation control strategy is essential for improving water use efficiency, and this requires accurate soil moisture information. However, certain challenges associated with state estimation must be addressed when dealing with large-scale fields. For instance, a vast farmland may be composed of different types of soil, making it challenging to obtain accurate parameters. Consequently, model mismatch becomes inevitable for agro-hydrological systems. In this study, we focus on addressing the issue of state estimation under such circumstance. A high dimensional nonlinear system is obtained by discretizing a 3D polar Richards equation that characterizes water movement dynamics. The proposed approach represents model mismatch as unknown inputs (UIs) relative to the state equations. To reduce computational complexity, a recursive expectation-maximization (EM) approach is modified from the existing batch EM algorithm to identify the UIs. The extended Kalman filter (EKF) is applied to calculate the posterior expectation of the states. Furthermore, an appropriate set of sensors is chosen to ensure complete observability of the system. The simulation results demonstrate the efficacy of the proposed estimation method.

关键词： 3D agro-hrdological system recursive EM algorithm EKF sensor placement

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