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A CRISPR/Cas12a-empowered surface plasmon resonance platform for rapid and specific diagnosis of the Omicron variant of SARS-CoV-2

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National Science Review 2022年第8期9卷 100-109页

作者： Zhi Chen Jingfeng Li Tianzhong Li Taojian Fan Changle Meng Chaozhou Li Jianlong Kang Luxiao Chai Yabin Hao Yuxuan Tang Omar A.Al-Hartomy Swelm Wageh Abdullah G.Al-Sehemi Zhiguang Luo Jiangtian Yu Yonghong Shao Defa Li Shuai Feng William J.Liu Yaqing He Xiaopeng Ma Zhongjian Xie Han Zhang Shenzhen Engineering Laboratory of Phosphorene and Optoelectronics International Collaborative Laboratory of 2D Materials for Optoelectronics Science and Technology of Ministry of Education Shenzhen Institute of Translational Medicine Department of Otolaryngology Shenzhen Second People’s Hospital the First Affiliated Hospital Institute of Microscale Optoelectronics Shenzhen University Shenzhen International Institute for Biomedical Research Shenzhen Han’s Tech Limited Company Shenzhen Metasensing Tech Limited Company Department of Physics Faculty of Science King Abdulaziz University Research Center for Advanced Materials Science (RCAMS) King Khalid University Department of Chemistry College of Science King Khalid University Zhongmin (Shenzhen) Intelligent Ecology Co.Ltd Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province College of Physics and Optoelectronic Engineering Shenzhen University Department of Laboratory Medicine Shenzhen Children’s Hospital Optoelectronics Research Center School of Science Minzu University of China NHC Key Laboratory of Biosafety National Institute for Viral Disease Control and Prevention Chinese Center for Disease Control and Prevention Research Unit of Adaptive Evolution and Control of Emerging Viruses Chinese Academy of Medical Sciences Institute of Pathogenic Organism Shenzhen Center for Disease Control and Prevention Respiratory Department Shenzhen Children’s Hospital Institute of Pediatrics Shenzhen Children’s Hospital

The outbreak of the COVID-19 pandemic was partially due to the challenge of identifying asymptomatic and presymptomatic carriers of the virus, and thus highlights a strong motivation for diagnostics with high sensitivity that can be rapidly deployed. On the other hand, several concerning SARS-Co V-2 variants,including Omicron, are required to be identified as soon as the samples are identified as ‘positive'.Unfortunately, a traditional PCR test does not allow their specific identification. Herein, for the first time,we have developed MOPCS(Methodologies of Photonic CRISPR Sensing), which combines an optical sensing technology-surface plasmon resonance(SPR) with the ‘gene scissors' clustered regularly interspaced short palindromic repeat(CRISPR) technique to achieve both high sensitivity and specificity when it comes to measurement of viral variants. MOPCS is a low-cost, CRISPR/Cas12a-systemempowered SPR gene-detecting platform that can analyze viral RNA, without the need for amplification,within 38 min from sample input to results output, and achieve a limit of detection of 15 fM. MOPCS achieves a highly sensitive analysis of SARS-Co V-2, and mutations appear in variants B.1.617.2(Delta),B.1.1.529(Omicron) and BA.1(a subtype of Omicron). This platform was also used to analyze some recently collected patient samples from a local outbreak in China, identified by the Centers for Disease control and Prevention. This innovative CRISPR-empowered SPR platform will further contribute to the fast, sensitive and accurate detection of target nucleic acid sequences with single-base mutations.

关键词： surface plasmon resonance CRISPR SARS-CoV-2 Omicron variant

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ROSIE: A ROS Adapter for a Modular Digital Twinning Framework

ROSIE: A ROS Adapter for a Modular Digital Twinning Framewor...

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IEEE International Workshop on Robot and Human Communication (ROMAN)

作者： Gianmarco Pisanelli Mariusz Tymczuk James A Douthwaite Jonathan M. Aitken James Law Advanced Manufacturing Research Centre The University of Sheffield Sheffield UK Department of Automatic Control and Systems Engineering The University of Sheffield Sheffield UK Department of Computer Science Advanced Manufacturing Research Centre The University of Sheffield Sheffield UK

ISBN: (数字)9781728188591

ISBN: (纸本)9781665406802

As robotic systems become more interactive and complex, there is a need to standardise interfaces and simplify development processes. This is particularly pertinent in the field of manufacturing, where human-robot collaboration is on the increase, but where standards and proprietary software are key barriers to deployment and *** this article we present the ROSIE Adapter, a general-purpose, modular adapter developed in ROS designed to support the creation and connection of industry-ready digital twins. Together with our previous work on the modular CSI digital-twin framework, we demonstrate how the ROSIE Adapter creates a versatile "plug-and-play" interface that simplifies the development of new robotic processes, and improves accessibility to novice users. Furthermore, the adaptor supports integration of intuitive interface devices, such as speech and augmented reality interfaces, which enable more natural collaboration. We describe the adaptor and its use in two real-world applications, demonstrate the ease of use via a three-day hackathon event, and provide results showing the faithfulness of the arising digital twins to their connected physical systems.

关键词： Adaptation models Collaboration Process control Data models Digital twins Safety Speech processing

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Time-Sensor Domain Data Decomposition and Analysis for Fault Diagnosis of Cutting Tools

Time-Sensor Domain Data Decomposition and Analysis for Fault...

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International Conference on control, Automation, Robotics and Vision (ICARCV)

作者： Yufei Gui Zi-Qiang Lang Zepeng Liu Yunpeng Zhu Hatim Laalej Department of Automatic Control and Systems Engineering The University of Sheffield Sheffield UK School of Engineering and Materials Science Queen Mary University of London London UK Advanced Manufacturing Research Centre The University of Sheffield Sheffield UK

ISBN: (纸本)9781665476881

In the present study, a novel time and sensor domain data decomposition and analysis framework is proposed to perform fault diagnosis of cutting tools. The problem of excessive computation burden existing in multi-sensor data-driven tool condition monitoring (TCM) system is resolved at the data level by compressing raw signals into a significantly smaller set of time and sensor domain data. The utilisation of the time domain components eliminates the influence of environmental noise on raw signals. Meanwhile, the introduction of the sensor domain components reveals the correlation relationship within multiple sensors. Experimental studies are conducted to verify the effectiveness of the proposed approach and illustrate the advantages of the time and sensor domain features compared with raw signal features.

关键词： Fault diagnosis Cutting tools Correlation Working environment noise Milling Robot sensing systems Robustness

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A Model-Predictive-Enabled Equivalent-Input-Disturbance Approach for Disturbance Rejection

A Model-Predictive-Enabled Equivalent-Input-Disturbance Appr...

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Industrial Cyber-Physical systems (ICPS)

作者： Yujian Zhou Jinhua She Feng Wang Makoto Iwasaki School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan China School of Engineering Tokyo University of Technology Tokyo Japan Department of Electrical and Mechanical Engineering Nagoya Institute of Technology Nagoya Japan

This paper presents a model-predictive-enabled equivalent-input-disturbance (MPEID) method for disturbance rejection. An EID estimator with a state observer estimates the effect of disturbances in a system. The disturbance estimation will not be directly added to the input channel for disturbance rejection. A cost function that considers the disturbance estimation is designed. An MPC controller calculates an optimal control input by minimizing the cost function. The stability condition of the closed-loop system is analyzed based on the Lyapunov stability theory. Simulation results show that our method has better disturbance-rejection performance than an MPC method when the control input is similar.

关键词： Simulation Estimation Optimal control Predictive models Observers Cyber-physical systems Cost function

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Measurement of Absorption Current of Polyester Coated Enameled Wires with Q(t) Meter

Measurement of Absorption Current of Polyester Coated Enamel...

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International Symposium on Electrical Insulating Materials

作者： Akinao Watanabe Masumi Fukuma Yoitsu Sekiguchi Advanced Electronic and Information Systems Course National Institute of Technology Matsue College Matsue Japan Department of Electrical Engineering and Computer Science National Institute of Technology Matsue College Matsue Japan Energy and Electronics Materials R&D Laboratories Sumitomo Electric Industries Osaka Japan

A Q(t) meter is used to measure electrical properties in insulating materials. Here, Q(t) is the integral value of circuit current with time t. It is possible to measure the Q(t) of the insulation material of a capacitor and a cable by using Q(t) meter. The current through an insulating material is divided into an instantaneous charging current, an absorption current and an equilibrium leakage current. It is considered that the absorption current is related to charge accumulation in the insulating materials. In this paper, an enameled wire (1.6 PEW) is used to prepare a cable sample, the Q(t) of the coated polyester (PEs) is measured, and extraction of absorption current components from measured Q(t) are reported.

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Parameter Design of Model Predictive control for the Displacement control of an Axial Piston Pump

Parameter Design of Model Predictive Control for the Displac...

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International Conference on Fluid Power and Mechatronics (FPM)

作者： Tsuyoshi Yamada Kazuhisa Ito Ryo Inada Shibaura Institute of Technology Graduate School of Engineering and Science Saitama Japan Department of Machinery and Control Systems Shibaura Institute of Technology Saitama Japan Hitachi Construction Machinery Co. Ltd. Advanced Development Center Tsuchiura Japan

ISBN: (数字)9798350304947

ISBN: (纸本)9798350304954

The tilt angle control of variable displacement hydraulic pumps is susceptible to changes in dynamic characteristics that depend on operating points and load pressure, and hence high control performance is hard to achieve. In this study, a variable displacement pump without a mechanical feedback mechanism is focused on and its displacement control system is designed using a model predictive control (MPC) method that can consider various design constraints. In particular, the adaptive MPC is introduced for accepting dynamic characteristics change and load pressure. The results clarified that the difference due to the variations in the model order was negligible for the steady-state deviation and settling time; however, the overshoot variation and the average of absolute tracking error could be attenuated using a higher order model for load pressure changes. Furthermore, the settling time and tracking error were considerably reduced by increasing the prediction and control horizons properly.

关键词： Pistons Adaptation models Target tracking Displacement control Pumps Hydraulic systems Trajectory

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Design and Application of a One-Stop Mobile Application Sharing Platform for Steel Enterprises

Design and Application of a One-Stop Mobile Application Shar...

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Chinese control Conference (CCC)

作者： Xinzhe Chen Luefeng Chen Jie Hu Qingfeng Yang 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 Wuhan China 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

As China's steel production accounts for an increasing share of the world's output, the intelligent transformation of the steel industry is becoming increasingly urgent. To address issues such as low levels of mobile informationization in steel enterprises and the lack of an industry-specific mobile application platform, it is of great significance to establish a shared mobile application platform for the steel industry. In this paper, the requirements of the platform were analyzed, and the platform's functions were designed. The software design of the platform was then carried out, and the entire mobile application sharing platform was developed, effectively improving the production management efficiency of steel enterprises. The results indicate that the platform can effectively meet the needs of steel enterprises and has significant engineering significance.

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A formal process of hierarchical functional requirements development for Set-Based Design

arXiv

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arXiv 2022年

作者： Sun, Minghui Chen, Zhaoyang Bakirtzis, Georgios Jafarzadeh, Hassan Fleming, Cody Coordinated Systems Lab Department of Mechanical Engineering Iowa State University AmesIA50011 United States Autonomous Systems Group Oden Institute for Computational Engineering & Sciences The University of Texas at Austin AustinTX78712 United States Advanced Control Methods Research and Advanced Engineering Ford Motor Company DearbornMI48126 United States

The design of complex systems is typically uncertain and ambiguous at early stages. Set-Based Design is a promising approach to complex systems design as it supports alternative exploration and gradual uncertainty reduction. When designing a complex system, functional requirements decomposition is a common and effective approach to progress the design incrementally. However, the current literature on Set-Based Design lacks formal guidance in functional requirements decomposition. To bridge the gap, we propose a formal process to hierarchically decompose the functional requirements for Set-Based Design. A four-step formal process is proposed to systematically define, reason, and narrow the sets, and eventually decompose the functional requirement into the sub-requirements. Such a process can be used by the individual suppliers working in parallel at multiple levels of abstraction and guarantee that the resulting system will eventually satisfy the top-level functional requirements. An example of designing a cruise control system is applied to demonstrate the feasibility of the proposed process. © 2022, CC BY.

关键词： Large scale systems

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Self-Tuning Robust Tracking control for Autonomous Underwater Vehicles

Self-Tuning Robust Tracking Control for Autonomous Underwate...

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RSI/ISM International Conference on Robotics and Mechatronics (ICROM)

作者： Nima Maghooli Fahimeh S. Tabatabaee-Nasab S. Ali A. Moosavian Department of Mechanical Engineering Center of Excellence in Robotics and Control Advanced Robotics … Automated Systems (ARAS) Laboratory K. N. Toosi University of Technology Tehran Iran

ISBN: (纸本)9781665454537

This paper addresses the control design problem for a nonlinear and nonholonomic dynamics model of an autonomous underwater vehicle. The kinematics control algorithm is a PID controller while a self-tuning control method is used for trajectory tracking. The kinetics control algorithm is based on an integral sliding mode technique that is robust against time-varying disturbances. The obtained results presented here use the Remote Environmental Monitoring UnitS (REMUS) underwater vehicle model and show the high performance of the controller. Based on the results demonstrated for the two designated trajectories, the tracking quality of self-tuning robust control, despite the significant similarity of the control input of both algorithms for x, y, and z, is much better than the sliding mode control. As a result, AUV was able to follow the desired trajectory, and tracking errors converged to zero. It is worth noting that at non-derivative points of the path (1 st trajectory), tracking errors were entirely within response quality limits (y = ±0.05[m]). The order of control efforts of the proposed control is suitable and can be implemented in the physical system.

关键词： Robust control Autonomous underwater vehicles Mechatronics Trajectory tracking Heuristic algorithms Robot kinematics Trajectory

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A Data-Driven Lifetime Prediction Method for Thermally Aged SiC MOSFET Applications

A Data-Driven Lifetime Prediction Method for Thermally Aged ...

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Prognostics and System Health Management Conference (PHM)

作者： Wenfa Kang Sen Tan Juan C. Vasquez Josep M. Guerrero Tobias Hertle Thomas Gietzold Andrew Benn Baoze Wei AAU Energy Aalborg University Aalborg Denmark Catalan Institution for Research and Advanced Studies (ICREA) Barcelona Spain Department of Electronic Engineering Technical University of Catalonia (UPC) Barcelona Spain Collins Aerospace HS Elektronik Systeme GmbH Collins Aerospace Electronic Control and Motor Systems (ECMS)

ISBN: (数字)9798350360585

ISBN: (纸本)9798350360592

Power semiconductor switches, such as Metal-Oxide Semiconductor Field-Effect Transistor (MOSFETs), are widely utilized in solid-state power controllers (SSPC) of electric vehicles, aircrafts and trains. Predictive Health Monitoring (PHM), coupled with the reliability analysis of MOSFETs, are of ut-most significance in power electronic systems. Among various PHM indicators, the ON-state resistance of MOSFETs stands out as a vital and indicative harbinger of failure. This paper introduces a data-driven methodology employing a Long-Short Term Memory (LSTM) algorithm to predict the variations of the ON-state resistance. The experimental dataset was derived from subjecting the MOSFET to power cycling under thermal stress conditions. Furthermore, the model's efficacy was scrutinized utilizing a minor fraction of the dataset for training the LSTM algorithm, showcasing robust performance. Additionally, the proposed model was validated across diverse MOSFET degradation datasets, affirming its universal applicability.

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