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Society 5.0: Metaverse Facilitated Human-centric “5H” Services Across Cyber-Physical-Social Spaces

IFAC-PapersOnLine 2024年第3期58卷 159-164页

作者： Xiao Wang Jun Huang QingHua Ni Zhe Wan HuaDan Xue Larry Stapleton Fei-Yue Wang Engineering Research Center of Autonomous Unmanned System Technology Ministry of Education Anhui University Hefei 230601 China Macau University of Science and Technology Macau 999078 China Beijing Normal University Beijing 100875 China Department of Radiology Peking Union Medical College Hospital Shuaifuyuan Beijing 100730 Dongcheng District China Brownsbarn Thomastown Co. Kilkenny Ireland R95D8P2 Qingdao Academy of Intelligent Industries Qingdao 266109 China State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China

Cyber-Physical-Social systems bridge the gap between social resource organization and distribution, and give birth to Society 5.0, which represents a transformative vision aimed at realizing the human-centric paradigm for more efficient and effective sustainable development. In this paper, we discuss the decentralized paradigm in fostering human needs-driven smart services, in line with Maslow’s hierarchy of needs theory. Societies 5.0 is committed to optimizing the use of natural, artificial, and social resources by enhancing democratic participation and ensuring that decision-making processes are more transparent, reliable, and aligned with the needs of the populace in sustainable ways. Moreover, our discussion extends to how Society 5.0’s principles correlate with the United Nations Sustainable Development Goals (SDGs), providing a framework that supports health, education, and poverty reduction, among other targets. This approach also aligns with the Human Development Index (HDI), reinforcing the notion that technological progress in Society 5.0 does not overshadow but rather complements and enhances human values, paving a synergistic path towards sustainable development that is both advanced and fundamentally human-centric.

关键词： Cyber-Physical-Social systems Society 5.0 Human-Centric Services Socio-technical synergistic sustainable development

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Apter: Aggregated prognosis through exponential reweighting

arXiv

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arXiv 2020年

作者： Pelckmans, K. Yang, L. Division of Systems and Control Department of Information Technology Uppsala University Sweden Sweden

This paper considers the task of learning how to make a prognosis of a patient based on his/her micro-array expression levels. The method is an application of the aggregation method as recently proposed in the literature on theoretical machine learning, and excels in its computational convenience and capability to deal with high-dimensional data. A formal analysis of the method is given, yielding rates of convergence similar to what traditional techniques obtain, while it is shown to cope well with an exponentially large set of features. Those results are supported by numerical simulations on a range of publicly available survival-micro-array datasets. It is empirically found that the proposed technique combined with a recently proposed preprocessing technique gives excellent performances. Copyright © 2020, The Authors. All rights reserved.

关键词： Clustering algorithms

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Securing isosceles triangular formations under heterogeneous sensing and mixed constraints

arXiv

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arXiv 2021年

作者： Chan, Nelson P.K. Jayawardhana, Bayu de Marina, Hector Garcia Engineering and Technology Institute Groningen University of Groningen Nijenborgh 4 Groningen9747AG Netherlands Department of Computer Architecture and Automatic Control Faculty of Physics Universidad Complutense de Madrid Madrid28040 Spain

This paper focuses on securing a triangular shape (up to translation) for a team of three mobile robots that uses heterogeneous sensing mechanism. Based on the available local information, each robot employs the popular gradient-based control law to attain the assigned individual task(s). In the current work, robots are assigned either distance and signed area task(s) or bearing task(s). We provide a sufficient condition on the gain ratio RAd between the signed area and the distance control term such that the desired formation shape, an isosceles triangle, is reached from all feasible starting positions. Numerical simulations are provided to support the theoretical *** Codes 93D99 © 2021, CC BY-NC-SA.

关键词： Robots

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Adaptive prediction-based control for an ecological cruise control system on curved and hilly roads

Adaptive prediction-based control for an ecological cruise c...

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作者： Lin, Yu-Chen Nguyen, Ha Ly Thi Balas, Valentina Emilia Lin, Tsung-Chih Kuo, I-Chun Department of Automatic Control Engineering Feng Chia University Taichung Taiwan Ph.D. Program in Electrical and Communications Engineering Feng Chia University Taichung Taiwan Automatics and Applied Software Department Aurel Vlaicu University of Arad ROU Romania Department of Electronic Engineering Feng-Chia University Taichung Taiwan Electronic Control Technology Group RD Division Automotive Research Testing Center Changhua Taiwan

This paper presents an adaptive prediction-based control scheme for developing an ecological cruise control (ECC) system when simultaneous running on the roads with the continuous curves and up-down slopes, which aims to guarantee the driving safety, riding comfort of a vehicle and enhance its fuel efficiency as well. This study is mainly divided into two parts: vehicle longitudinal speed control and vehicle lateral stability control. Firstly, based on GPS data, topographical information, and a fuel consumption model, the prediction based on approximate dynamic programming (ADP) using adaptive fuzzy neural networks (FNNs) is employed to calculate appropriate control signal required for ecological driving. Secondly, to maintain the vehicle stable on the curved road, the vehicle lateral stability control is presented utilizing sliding mode control approach. The effectiveness of the proposed ECC system, in view of stability, improved riding comfort and fuel efficiency, has been validated on the CarSim environment. © 2020 - IOS Press and the authors. All rights reserved.

关键词： Adaptive control systems

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Avian influenza viruses suppress innate immunity by inducingtrans-transcriptional readthrough via SSU72

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Cellular & Molecular Immunology 2022年第6期19卷 702-714页

作者： Yan Zhao Fengming Huang Zhen Zou Yuhai Bi Yang Yang Cong Zhang Qiang Liu Daozhen Shang Yiwu Yan Xiangwu Ju Song Mei Peng Xie Xiao Li Mingyao Tian Shuguang Tan Huijun Lu Zongsheng Han Kangtai Liu Yuqing Zhang Junbo Liang Zhu Liang Qingchao Zhang Jiahui Chang William JLiu Cong Feng Tanshi Li Michael Q.Zhang Xiaoyue Wang George FGao Yingxia Liu Ningyi Jin Chengyu Jiang State Key Laboratory of Medical Molecular Biology Institute of Basic Medical SciencesChinese Academy of Medical SciencesDepartment of BiochemistryPeking Union Medical CollegeBeijing 100005China Shenzhen Key Laboratory of Pathogen and Immunity State Key Discipline of Infectious DiseaseSecond Hospital Affiliated with Southern University of Science and TechnologyShenzhen Third People’s HospitalShenzhenGuangdong 518112China CAS Key Laboratory of Pathogenic Microbiology and Immunology Institute of MicrobiologyCenter for Influenza Research and Early-warning(CASCIRE)CAS-TWAS Center of Excellence for Emerging Infectious Diseases(CEEID)Chinese Academy of SciencesBeijing 100101China School of Life Science University of Science and Technology of ChinaHefeiAnhui 230027China Department of Automation Tsinghua UniversityBeijing 100084China Genetic Engineering Laboratory Institute of Military VeterinaryAcademy of Military Medical SciencesChangchunJilin 130062China State Key Laboratory of Biotherapy/Collaborative Innovation Center for Biotherapy West China HospitalSichuan UniversityChengduSichuan 610000China State Key Laboratory of Medical Molecular Biology Department of Biochemistry and Center for BioinformaticsInstitute of Basic Medical SciencesChinese Academy of Medical SciencesSchool of Basic MedicinePeking Union Medical CollegeBeijing 100005China National Institute for Viral Disease Control and Prevention Chinese Centers for Disease Control and PreventionBeijing 102206China Department of Emergency General Hospital of the PLAHaidian DistrictBeijing 100853China Department of Biological Sciences and Center for Systems Biology The University of Texas at DallasRichardsonTXUSA

Innate immunity plays critical antiviral roles. The highly virulent avian influenza viruses (AIVs) H5N1, H7N9, and H5N6 can betterescape host innate immune responses than the less virulent seasonal H1N1 virus. Here, we report a mechanism by whichtranscriptional readthrough (TRT)-mediated suppression of innate immunity occurs post AIV infection. By using cell lines, mouselungs, and patient PBMCs, we showed that genes on the complementary strand (“trans” genes) influenced by TRT were involved inthe disruption of host antiviral responses during AIV infection. The trans-TRT enhanced viral lethality, and TRT abolishmentincreased cell viability and STAT1/2 expression. The viral NS1 protein directly bound to SSU72, and degradation of SSU72 inducedTRT. SSU72 overexpression reduced TRT and alleviated mouse lung injury. Our results suggest that AIVs infection induce TRT byreducing SSU72 expression, thereby impairing host immune responses, a molecular mechanism acting through the NS1-SSU72-trans-TRT-STAT1/2 axis. Thus, restoration of SSU72 expression might be a potential strategy for preventing AIV pandemics.

关键词： AIV infection TRT SSU72 NS1 Immune escape

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Integration of Inertial Navigation System with Global Positioning System using Extended Kalman Filter 2

Integration of Inertial Navigation System with Global Positi...

引用

2nd International Conference on Smart systems and Inventive technology, ICSSIT 2019

作者： Allan Anbu, N. Jayaprasanth, D. PSG College of Technology Department of Instrumentation and Control Systems Engineering Coimbatore India

ISBN: (纸本)9781728121192

The Kalman filter is an optimal state estimator used in many of the engineering applications. In general, Kalman filter has two typical forms for non-linear estimation they are, the extended Kalman filter and unscented Kalman filter. This paper discusses the implementation of GPS-based Inertial navigation system (a combination of accelerometers and gyroscopes) using an extended Kalman filter (EKF). Both GPS and INS sensors are used to update the position and velocity in a land vehicle so that real time guidance and navigation tasks are performed. Due to the low sampling rate of GPS, continuous and reliable position cannot be obtained regularly. Similarly, the INS output tends to accumulate error over time which makes it unreliable. These limitations are overcome by integrating these systems due to their complementary characteristics in order to achieve long term accuracy. The method discussed involves collecting the data from GPS and INS sensors and processing them using EKF to obtain better estimates on the position and velocity. The vehicle orientation is linearized using the quaternion in the prediction and correction stages of EKF. © 2019 IEEE.

关键词： Extended Kalman filters

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Nonlinear Finite Impulse Response Estimation using Regularized Neural Networks

引用

IFAC-PapersOnLine 2021年第7期54卷 174-179页

作者： Roberto G. Ramírez-Chavarría Maarten Schoukens Instituto de Ingeniería Universidad Nacional Autónoma de México 04510 Ciudad de México México Control Systems Group Department of Electrical Engineering Eindhoven University of Technology Eindhoven The Netherlands

This work presents a new regularization scheme for identifying nonlinear finite impulse response (NFIR) models using artificial neural networks (ANN). Prior knowledge, such as the exponentially decaying nature of an impulse response, is included during the identification using a regularization approach inspired on the well-known regularized linear finite impulse response identification literature. More specifically the sensitivity of the modeled output with respect to the delayed input of the NFIR model is penalized to provide an exponentially decaying prior. The proposed method is illustrated and compared to other ANN regularization schemes on a simulation example.

关键词： Nonlinear Identification Nonlinear Finite Impulse Response Artificial Neural Network Regularization

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Finite-element-analysis models for numerical simulation of partial discharges in spherical cavities within solid dielectrics:a review and a novel method

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High Voltage 2020年第5期5卷 556-568页

作者： Johnatan M.Rodríguez-Serna Ricardo Albarracín-Sánchez Abdullahi A.Mas'ud Department of Electrical and Electronic Engineering Automatic Controland Applied PhysicsSchool of Industrial Design and Engineering(ETSIDI)Universidad Politécnica de Madrid(UPM)Ronda de Valencia 328012MadridSpain 2Department of Electrical EngineeringUniversidad de AntioquiaCalle 67 No.53-108MedellínColombia 3Department of Electrical and Electronic Engineering TechnologyJubail Industrial College31961JubailSaudi Arabia

During the last two decades,partial discharges(PDs)modelling methods have been used as a complement of insulation diagnosis systems of electrical ***-element-analysis models for simulating PDs in cavities within solid dielectric materials are reviewed and a novel model is presented,which combines the main advantages of electrostatic and electric current *** theoretical background is presented and some limitations and restrictions are discussed.A case of study was implemented for three different ageing conditions and simulation results exhibit good agreement with reported values by other authors in the *** analysis of variations of PD behaviour with ageing as a function of temperature and pressure is briefly *** is concluded that more research is needed to include physical and chemical interactions on the void surface and that the cavity surface conductivity plays a fundamental role in the PD simulations at advanced ageing conditions.

关键词： element analysis solid

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Artificial Neural Network Hysteresis Operators for the Identification of Hammerstein Hysteretic systems

引用

IFAC-PapersOnLine 2021年第7期54卷 702-707页

作者： Konstantinos Krikelis Koos van Berkel Maarten Schoukens Control Systems Group Dept. of Electrical Eng. Eindhoven University of Technology Postbus 513 5600 MB Eindhoven The Netherlands Research Department ASML Netherlands B.V. 5504 DR Veldhoven The Netherlands

This paper introduces explicit neural representations of fundamental hysteresis operators such as the play and stop operators. The hysteresis neurons are represented by recurrent artificial neural networks (ANN) using classical activation functions and are trained with gradient-based learning algorithms. The hysteresis neurons are combined into a single ANN hysteretic layer which, from a mathematical point of view, is equivalent to a classical Prandtl-Ishlinskii model expression, but has all the advantages of ANNs. One such benefit is the flexibility it offers to be combined with other ANN layers to obtain various complex model structures. In this paper, this is illustrated by combining it with a linear recurrent neural network to obtain a Hammerstein model structure, which is often considered for the characterization of systems driven by a class of smart material-based actuators. The input nonlinearity in the Hammerstein model is represented by a Prandtl-Ishlinskii ANN hysteretic layer while the linear dynamics are captured using a linear recurrent ANN representing a single-input multiple-output linear time-invariant state-space model. The identification approach of the Hammerstein model with a hysteretic layer is illustrated both numerically and experimentally.

关键词： Nonlinear System Identification Hysteresis Hammerstein Artificial Neural Networks Prandtl-Ishlinskii

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An Experimental Comparison Study between Four Different Designs of Solar Stills

SSRN

引用

SSRN 2022年

作者： Abdullah, A.S. Omara, Z.M. Younes, M.M. Alawee, Wissam H. Mohammed, Suha A. Dhahad, Hayder A. Mechanical Engineering Department Faculty of Engineering Kafrelsheikh University Kafrelsheikh33516 Egypt Mechanical Engineering Department College of Engineering Prince Sattam Bin Abdulaziz University Alkharj16273 Saudi Arabia Mechanical Power Engineering Department Faculty of Engineering Tanta University Tanta31734 Egypt Control and Systems Engineering Department University of Technology Baghdad Iraq Mechanical Engineering Department University of Technology Baghdad Iraq

In this experimental work, four different solar stills (SSs) have been tested. The SS systems are conventional SS (CSS), Double Slope SS (DSSS), Pyramid SS (PSS) and Tubular SS (TSS) to define which design will show higher performance for the testing location. To minimize the shadow effect inside the DSSS and PSS the water basin has been elevated and the performance have been compared with the CSS. Additionally, phase change material mixed with Ag Nano particles has been employed with TSS, elevated basin DSSS and elevated basin PSS. The results indicated that, the productivity rise/thermal efficiency for DSSS, PSS and TSS are 28.5%/38.3%, 66%/44% and 96.5%/48.5%, respectively. But in case of DSSS and PSS with elevated basin the productivity rise/thermal efficiency showed 40.5%/40% and 84.5%/46.7%, respectively. Finally, the productivity rise/thermal efficiency for PSS with elevated basin and PCM showed the highest values of 116.4%/51.5%. Also, environmental and economic analyses have been considered, the obtained costs of the distilled freshwater were 0.024 and 0.011 $/L for the CSS and PSS (elevated basin and PCM), respectively. The environmental parameter of elevated basin PSS with PCM-Ag and CSS was 14.7 and 6.67 tons CO2 per year, respectively. © 2022, The Authors. All rights reserved.

关键词： Distillation

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