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Evolution and contributions of internet of medical things aided emergency COVID-19 health monitoring and quarantine management

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AIP Conference Proceedings 2023年第1期2603卷

作者： Shahanawaj Ahamad Melanie Elizabeth Lourens Shvets Yuriy Yurievich Chandra Kumar Dixit Ruchi Kalra Swaminathan Ramamurthy Department of Information and Computer Sciences College of Computer Science and Engineering University of Hail Hail City Saudi Arabia Department of Human Resources Management Durban University of Technology South Africa Department of Economical Development Institute of Control of Science Trapeznikov. RAS Financial University under the Government of Russion Federation Russia Department of Physics Dr. Shakuntala Misra National Rehabilitation University Lucknow 226017 Uttar Pradesh India IIS (Deemed to Be University) Jaipur 302 020 Rajasthan India Department of Home Science Guru Nanak College Sri Muktsar Sahib 152026 Punjab India Department of Electronics and Communication Engineering Saveetha school of Engineering Chennai 602105 Tamilnadu India

The present global situation of COVID-19 pandemic has broke through regional, revolutionary, philosophical, spiritual, social, and educational barriers. By utilizing an interconnection of network, an Internet of Things enabled medical system is useful for regular monitoring of COVID-19 patients. It also aids in improving patient experience and reducing re-hospitalizations. The arrival of the IoT has effect on reducing healthcare costs and enhancing the treatment outcome of affected patients. As a result, the goal of this study is to analyze and emphasize the overall applicability of the well-established IoT concept by providing a conceptual outlay to combat the COVID-19 pandemic.

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Toward HAZOP 4.0 Approach for Managing the Complexities of the Hazard and Operability of an Industrial Polymerization Reactor

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IFAC-PapersOnLine 2020年第2期53卷 13593-13600页

作者： R. Mokhtarname A.A. Safavi L. Urbas F. Salimi M.M. Zerafat N. Harasi Advanced Control Laboratory School of Electrical and Computer Engineering Shiraz University Shiraz Iran Mechanical Science and Eng. Dep. Technische Universität Dresden Dresden Germany ADEPP Academy France Nano-chemical Eng. Dep. Shiraz University Shiraz Iran

Conventional HAZOP is a collaborative and multidisciplinary activity to identify the hazards associated to operability of the chemical processes. Then the consequences and required safeguards of each potential deviation or failure are assessed qualitatively one by one. It is performed with the assumption of "one failure at the time" for the process parameters. Furthermore, process complexities such as multiple failures, domino effects, time and amplitude dependent deviations etc. are avoided to keep the HAZOP brainstorming sessions systematic and effective. Therefore, the quality and outcomes of HAZOP study are relatively subjective and depend on the experience and competency of the HAZOP team. This simplified approach cannot fully cover the hazard identification and risk assessment of the complex processes such as polymerization. Furthermore, the incident investigations show that almost all major accidents have occurred due to multiple failures or domino effects. This paper aims at developing a practical methodology in the context of "Industry 4.0" and particularly illustrate how dynamic simulation liberates the HAZOP team from the simplification assumptions such as one failure at the time or neglecting the domino effects during the lifecycle of the complex processes. An industrial styrene bulk free radical polymerization process has been chosen as the case study to depict the applicability of the proposed method. In continuation of this research, the dynamic simulation integrated with Artificial Intelligence (AI) algorithms and Multivariable Process Monitoring (MPM) together with virtual collaboration tools will be invoked towards a more practical and effective HAZOP 4.0 platform. Such a platform can be the foundation of the further Process Safety Management (PSM) elements such as "Operating manuals", "Training and Competency management", "Condition monitoring and predictive maintenance", "Management of Change", "Pre-Start-up Safety Review", etc.

关键词： Dynamic HAZOP Dynamic Simulation Polymerization Plant Process Complexity HAZOP 4.0

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A New Approach for Face Anti-Spoofing Using Handcrafted and Deep Network Features

A New Approach for Face Anti-Spoofing Using Handcrafted and ...

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2019 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2019

作者： Das, Polash Kumar Hu, Bin Liu, Chang Cui, Kaixin Ranjan, Prabhat Xiong, Gang School of Electronic and Information Engineering South China University of Technology Guangzhou China State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Science Beijing China College of Computer Science Sichuan University Chengdu China Cloud Computing Center Chinese Academy of Science Dongguan China

ISBN: (纸本)9781728128535

In biometrics, face recognition methods are achieving momentum with recent progress in the computer vision(CV). Face recognition is widely used in the identification of an individual's identity. Unfortunately, in recent research work has revealed this face biometrics system is unprotected to spoofing attacks using by very low price instrument such as printed 2D photos attack, 3D masking attack and taking videos using smart devices (reply attack). Therefore, a Liveness Attack Detection (LAD) approach is needed to improve the high-quality security of face recognition system. Most of the earlier worked LAD methods for face anti-spoofing methods have highlight on using the handcrafted features, which are developed by expert knowledge of researcher. As example Gabor filter, Histogram of Oriented Gradients, local ternary pattern, and the Local Binary Pattern. Because of that, the extracted features consider limited factors of the problem, yielding a capture accuracy that is very low and changes with the point of presentation in attack face images. The deep learning method has developed in the computer vision research community, which is proven to be suitable for automatically training. In this article, we approach to mix or combine the handcrafted features and deep neural network features to design the discriminant face spoofing detection. The handcrafted features were based on LBP analysis. We examine the features information from the brightness and the chrominance channels using LBP descriptor. In deep features, we present an approach based on pre-trained convolutional neural network VGG-16 model using static features to recognize video and printed(2D) photo attacks. By attaching this two types of image features on our dataset and public databases, we get good results to identify real and attack images feature, called hybrid features, which has better discrimination ability to understand spoofing image feature. © 2019 IEEE.

关键词： Local binary pattern

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Wavelength Conversion Efficiency Enhancement in Modal Phase Matched χ(2) Nonlinear Waveguides

arXiv

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arXiv 2021年

作者： Kang, Dongpeng Zhang, Weiqi Helmy, Amr S. Yu, Siyuan Tan, Liying Ma, Jing School of Astronautics National Key Laboratory of Science and Technology on Tunable Laser Harbin Institute of Technology 92 West Dazhi Street Harbin150001 China The Edward S. Rogers Department of Electrical and Computer Engineering Centre for Quantum Information and Quantum Control University of Toronto 10 King’s College Road TorontoONM5S 3G4 Canada

Modal phase matching (MPM) is a widely used phase matching technique in AlxGa1−xAs and other χ(2) nonlinear waveguides for efficient wavelength conversions. The use of a non-fundamental spatial mode compensates the material dispersion but also reduces the spatial overlap of the three interacting waves and therefore limits the conversion efficiency. In this work, we develop a technique to increase the nonlinear overlap by modifying the material nonlinearity, instead of the traditional method of optimizing the modal field profiles. This could eliminate the limiting factor of low spatial overlap inherent to MPM and significantly enhance the conversion efficiency. Among the design examples provided, this technique could increase the conversion efficiency by a factor of up to ∼290 in an AlxGa1−xAs waveguide. We further show that this technique is applicable to all χ(2) material systems that utilize MPM for wavelength conversion. © 2021, CC BY.

关键词： Optical frequency conversion

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Dense r-robust formations on lattices

Dense r-robust formations on lattices

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Luis Guerrero-Bonilla David Saldaña Vijay Kumar Division of Decision and Control Systems in the School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Stockholm Sweden Autonomous and Intelligent Robotics Laboratory (AIRLab) Lehigh University Bethlehem PA USA GRASP Laboratory University of Pennsylvania

ISBN: (数字)9781728173955

ISBN: (纸本)9781728173962

Robot networks are susceptible to fail under the presence of malicious or defective robots. Resilient networks in the literature require high connectivity and large communication ranges, leading to high energy consumption in the communication network. This paper presents robot formations with guaranteed resiliency that use smaller communication ranges than previous results in the literature. The formations can be built on triangular and square lattices in the plane, and cubic lattices in the three-dimensional space. We support our theoretical framework with simulations.

关键词： Lattices Robot kinematics Communication networks Robustness Robot sensing systems Energy consumption

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A New Active Disturbance Rejection controller Design Based on Fractional Extended State Observer

A New Active Disturbance Rejection Controller Design Based o...

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第三十八届中国控制会议

作者： Pengchong Chen Ying Luo Weijia Zheng Zhiqiang Gao Department of Mechanical Science and Engineering Huazhong University of Science and Technology Center for Advanced Control Technologies Department of Electrical and Computer Engineering Cleveland State University

An improved active disturbance rejection controller based on the fractional order extended state observer（FOESO）is proposed in this *** the proposed FOESO,a second order plant model is converted into a cascaded fractional order integrator(1/s,0<α<1).Thus,a stable closed-loop feedback control system with enough phase margin for stability can be realized using a simple proportional ***,the open-loop phase-frequency characteristic of the system is flat around the gain crossover frequency,namely,the system is robust to loop gain ***,without the differential action in the designed controller,the control system achieves the robustness to high-frequency noise.

关键词： Fractional order extended state observer fractional order active disturbance rejection robust noise

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Visual Simulation of Multiple Fluids in computer Graphics： A State-of-the-Art Report

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Journal of computer science & Technology 2018年第3期33卷 431-451页

作者： Bo Ren Xu-Yun Yang Ming C. Lin Nils Thuerey Matthias Teschner Chenfeng Li College of Computer and Control Engineering Nankai University Tianjin 300071 China Department of Computer Science University of Maryland College Park MD 20742 U.S.A Department of Informatics Technical University of Munich Munich 80333 Germany Department of Computer Science University of Freiburg Freiburg 79098 Germany College of Engineering Swansea University Swansea SA28PP U.K.

Realistic animation of various interactions between multiple fluids, possibly undergoing phase change, is a challenging task in computer graphics. The visual scope of multi-phase multi-fluid phenomena covers complex tangled surface structures and rich color variations, which can greatly enhance visual effect in graphics applications. Describing such phenomena requires more complex models to handle challenges involving the calculation of interactions, dynamics and spatial distribution of multiple phases, which are often involved and hard to obtain real-time performance. Recently, a diverse set of algorithms have been introduced to implement the complex multi-fluid phenomena based on the governing physical laws and novel discretization methods to accelerate the overall computation while ensuring numerical stability. By sorting through the target phenomena of recent research in the broad subject of multiple fluids, this state-of-the-art report summarizes recent advances on multi-fluid simulation in computer graphics.

关键词： physical simulation multiple fluids computer graphics

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Masked GAN for unsupervised depth and pose prediction with scale consistency

arXiv

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arXiv 2020年

作者： Zhao, Chaoqiang Yen, Gary G. Sun, Qiyu Zhang, Chongzhen Tang, Yang The Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology Shanghai200237 China The School of Electrical and Computer Engineering Oklahoma State University StillwaterOK74075 United States

Previous work has shown that adversarial learning can be used for unsupervised monocular depth and visual odometry (VO) estimation, in which the adversarial loss and the geometric image reconstruction loss are utilized as the mainly supervisory signals to train the whole unsupervised framework. However, the performance of the adversarial framework and image reconstruction is usually limited by occlusions and the visual field changes between frames. This paper proposes a masked generative adversarial network (GAN) for unsupervised monocular depth and ego-motion estimation. The MaskNet and Boolean mask scheme are designed in this framework to eliminate the effects of occlusions and impacts of visual field changes on the reconstruction loss and adversarial loss, respectively. Furthermore, we also consider the scale consistency of our pose network by utilizing a new scale-consistency loss, and therefore, our pose network is capable of providing the full camera trajectory over a long monocular sequence. Extensive experiments on the KITTI dataset show that each component proposed in this paper contributes to the performance, and both our depth and trajectory predictions achieve competitive performance on the KITTI and Make3D datasets. Copyright © 2020, The Authors. All rights reserved.

关键词： Generative adversarial networks

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XML privacy preserving model based on dynamic context

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International Journal of Performability engineering 2018年第12期14卷 3206-3219页

作者： Wang, Meijuan Huang, Song Zheng, Changyou Li, Hui College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics Nanjing210016 China Command and Control Engineering College Army Engineering University of PLA Nanjing210007 China

The development of cloud computing has brought about rapid changes in the data application environment. The contradiction between the availability of data fusion and privacy protection is increasing. Traditional information security focuses on hiding attributes, while big data privacy protection pays more attention to access control and data using methods. As a semi-structured representation model, XML data is an ideal carrier for heterogeneous data exchange and unstructured data storage. This paper deeply studies several problems involved in user’s individual access process for XML data privacy preserving, and proposes prior knowledge as dynamic context. Based on the innovative privacy bipartite graph and the XML document semantic encoding, we propose the XML data privacy preserving model DCPPM and the algorithm KCQ to resist reasoning attack. The scheme to preventive response of the real-time inference attack in the actual operation process is realized. Finally, the example verification and experimental data show that the proposed model can effectively protect the safe use of private data and sensitive data in real time, which has certain theoretical and practical significance. © 2018 Totem Publisher, Inc. All rights reserved.

关键词： XML

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Event-Triggered control for Consensus of Multi-Agent Systems with Nonlinear Output and Directed Topologies

Event-Triggered Control for Consensus of Multi-Agent Systems...

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第三十八届中国控制会议

作者： Xinlei Yi Shengjun Zhang Tao Yang Junfeng Wu Karl H.Johansson School of Electrical Engineering and Computer Science KTH Royal Institute of Technology The Department of Electrical Engineering University of North Texas The College of Control Science and Engineering Zhejiang University

We propose a distributed event-triggered control law to solve the consensus problem for multi-agent systems with nonlinear output. Under the condition that the underlying digraph is strongly connected, we establish sufficient conditions on the nonlinear output function and initial states to guarantee that the event-triggered controller realizes consensus. Then the results are extended to the case where the underlying directed graph contains a directed spanning tree. These theoretical results are illustrated by numerical simulations.

关键词： Consensus Event-triggered control Multi-agent systems Nonlinear output

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