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arXiv 2022年

作者： Han, YuHui Fei, HongMing Lin, Han Zhang, MingDa Liu, Xin Wang, XiaoRong Cao, BinZhao Yang, YiBiao Xiao, LianTuan Department of Physics and Optoelectronics Taiyuan University of Technology Taiyuan030024 China Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education Taiyuan University of Technology Taiyuan030024 China Centre for Translational Atomaterials Faculty of Science Engineering and Technology Swinburne University of Technology HawthornVIC3122 Australia

Wavelength division multiplexing (WDM) devices are key elements of Photonic integrated circuits (PICs). Conventional WDM devices based on silicon waveguides and photonic crystals have limited transmittance due to high loss introduced by the strong backward scattering from defects. In addition, it is challenging to reduce the footprint of those devices. Here we theoretically demonstrate a WDM device in the telecommunication range based on all-dielectric silicon topological valley photonic crystal (VPC) structures. We tune its effective refractive index by tuning the physical parameters of the lattice in the silicon substrate, which can continuously tune the working wavelength range of the topological edge states, which allows designing WDM devices with different channels. The WDM device has two channels (1470 nm-1523 nm and 1548 nm-1609 nm), with contrast ratios of 22.4 dB and 24.9 dB, respectively. The principle of manipulating the working bandwidth of the topological edge states can be generally applied in designing different integratable photonic devices, thus it will find broad applications. Copyright © 2022, The Authors. All rights reserved.

关键词： Photonic devices

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Mini-drone quadrotor altitude control using characteristic ratio assignment PD tuning approach

Mini-drone quadrotor altitude control using characteristic r...

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2019 World Congress on engineering and Computer Science, WCECS 2019

作者： Chaoraingern, J. Tipsuwanporn, V. Numsomran, A. Electrical Engineering Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand Department of Instrumentation and Control Engineering Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand

ISBN: (纸本)9789881404879

This paper presents PD tuning approach using characteristic ratio assignment (CRA) method for Parrot rolling spider mini-drone quadrotor altitude control system. The aim of this study is to examine the PD controller design and parameter tuning for achieving six degrees of freedom motion control. The CRA technique has been used for determining the proper controller parameters based on the selection of the characteristic polynomial coefficients of the closed loop system conform to the specified the performance criteria. The altitude control simulations applied to Parrot rolling spider mini-drone quadrotor system so that investigated the performance of the proposed controller deign scheme. The results clearly exposed that the control system is fairly stable and out performance, likewise has the effectiveness of controller's parameters adjustability. © Newswood *** right reserved.

关键词： Altitude control

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Artificial intelligence for geoscience:Progress,challenges,and perspectives

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The Innovation 2024年第5期5卷 136-160,135页

作者： Tianjie Zhao Sheng Wang Chaojun Ouyang Min Chen Chenying Liu Jin Zhang Long Yu Fei Wang Yong Xie Jun Li Fang Wang Sabine Grunwald Bryan MWong Fan Zhang Zhen Qian Yongjun Xu Chengqing Yu Wei Han Tao Sun Zezhi Shao Tangwen Qian Zhao Chen Jiangyuan Zeng Huai Zhang Husi Letu Bing Zhang Li Wang Lei Luo Chong Shi Hongjun Su Hongsheng Zhang Shuai Yin Ni Huang Wei Zhao Nan Li Chaolei Zheng Yang Zhou Changping Huang Defeng Feng Qingsong Xu Yan Wu Danfeng Hong Zhenyu Wang Yinyi Lin Tangtang Zhang Prashant Kumar Antonio Plaza Jocelyn Chanussot Jiabao Zhang Jiancheng Shi Lizhe Wang Aerospace Information Research Institute Chinese Academy of SciencesBeijing 100094China School of Computer Science China University of GeosciencesWuhan 430078China State Key Laboratory of Mountain Hazards and Engineering Resilience Institute of Mountain Hazards and EnvironmentChinese Academy of SciencesChengdu 610299China Key Laboratory of Virtual Geographic Environment(Ministry of Education of PRC) Nanjing Normal UniversityNanjing 210023China Data Science in Earth Observation Technical University of Munich80333 MunichGermany The National Key Laboratory of Water Disaster Prevention Yangtze Institute for Conservation and DevelopmentHohai UniversityNanjing 210098China Institute of Computing Technology Chinese Academy of SciencesBeijing 100190China School of Geographical Sciences Nanjing University of Information Science and TechnologyNanjing 210044China State Key Laboratory of Soil and Sustainable Agriculture Institute of Soil ScienceChinese Academy of SciencesNanjing 210008China Soil Water and Ecosystem Sciences DepartmentUniversity of FloridaPO Box 110290GainesvilleFLUSA Materials Science Engineering Program Cooperating Faculty Member in the Department of Chemistry and Department of Physics Astronomy University of CaliforniaCaliforniaRiversideCA 92521USA Institute of Remote Sensing and Geographical Information System School of Earth and Space SciencesPeking UniversityBeijing 100871China Key Laboratory of Computational Geodynamics University of Chinese Academy of SciencesBeijing 100049China International Research Center of Big Data for Sustainable Development Goals Beijing 100094China College of Geography and Remote Sensing Hohai UniversityNanjing 211100China Department of Geography The University of Hong KongHong Kong 999077SARChina Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Nanjing 210044China School of Environmental Science and Engineering Nanjing University of Information Science&TechnologyNanjing 210044China Collaborative Inno

This paper explores the evolution of geoscientific inquiry,tracing the progression from traditional physics-based models to modern data-driven approaches facilitated by significant advancements in artificial intelligence(AI)and data collection *** models,which are grounded in physical and numerical frameworks,provide robust explanations by explicitly reconstructing underlying physical ***,their limitations in comprehensively capturing Earth’s complexities and uncertainties pose challenges in optimization and real-world *** contrast,contemporary data-driven models,particularly those utilizing machine learning(ML)and deep learning(DL),leverage extensive geoscience data to glean insights without requiring exhaustive theoretical *** techniques have shown promise in addressing Earth science-related ***,challenges such as data scarcity,computational demands,data privacy concerns,and the“black-box”nature of AI models hinder their seamless integration into *** integration of physics-based and data-driven methodologies into hybrid models presents an alternative *** models,which incorporate domain knowledge to guide AI methodologies,demonstrate enhanced efficiency and performance with reduced training data *** review provides a comprehensive overview of geoscientific research paradigms,emphasizing untapped opportunities at the intersection of advanced AI techniques and *** examines major methodologies,showcases advances in large-scale models,and discusses the challenges and prospects that will shape the future landscape of AI in *** paper outlines a dynamic field ripe with possibilities,poised to unlock new understandings of Earth’s complexities and further advance geoscience exploration.

关键词： Earth utilizing landscape

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Frailty and Other Factors Associated With Early Outcomes in Middle-to Older Age Trauma Patients: A Prospective Cohort Study

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American Journal of Geriatric Psychiatry 2024年第2期32卷 244-255页

作者： Yeh, Tian-Shin Kang, Jiunn-Horng Littlejohns, Thomas J. Wu, Chia-Chieh Chen, Jin-Hua Piravej, Krisna Chiu, Wen-Ta Lam, Carlos Department of Physical Medicine and Rehabilitation School of Medicine College of Medicine Taipei Medical University Taipei Taiwan Department of Physical Medicine and Rehabilitation Wan Fang Hospital Taipei Medical University Taipei Taiwan Department of Epidemiology and Nutrition Harvard T. H. Chan School of Public Health Harvard University Boston MA United States Department of Physical Medicine and Rehabilitation National Taiwan University Hospital Taipei Taiwan Department of Physical Medicine and Rehabilitation College of Medicine National Taiwan University Taipei Taiwan Department of Physical Medicine and Rehabilitation Taipei Medical University Hospital Taipei Taiwan Graduate Institute of Nanomedicine and Medical Engineering College of Biomedical Engineering Taipei Medical University Taipei Taiwan International Ph.D. Program in Medicine College of Medicine Taipei Medical University Taipei Taiwan Professional Master Program in Artificial Intelligence in Medicine College of Medicine Taipei Medical University Taipei Taiwan Nuffield Department of Population Health University of Oxford Oxford United Kingdom Emergency Department Wan Fang Hospital Taipei Medical University Taipei Taiwan Department of Emergency School of Medicine College of Medicine Taipei Medical University Taipei Taiwan Graduate Institute of Data Science College of Management Taipei Medical University Taipei Taiwan Institutional Research Center Office of Data Science Taipei Medical University Taipei Taiwan Biostatistics Center Department of Medical Research Wan Fang Hospital Taipei Medical University Taipei Taiwan Department of Rehabilitation Medicine Faculty of Medicine Chulalongkorn University Bangkok Thailand Department of Chula Neuroscience Center King Chulalongkorn Memorial Hospital Bangkok Thailand Graduate Institute of Injury Prevention and Control College of Public Health Taipei Medical University Taipei Taiwan AHMC Health System Alhambra CA United States

Objectives: To prospectively investigate associations of frailty and other predictor variables with functional recovery and health outcomes in middle-aged and older patients with trauma. Design: Single-center prospective cohort study. Setting: Emergency department of Wan Fang Hospital in Taiwan. Participants: Trauma patients aged 45 and older. Measurements: Frailty was assessed with the Clinical Frailty Scale (CFS). Injury mechanisms, pre-existing diseases, and fracture locations were recorded at baseline. The primary outcome was functional recovery assessed using the Barthel Index (BI). Secondary outcomes were new care needs, unscheduled return visits, and falls 3 months postinjury. Results: A total of 588 participants were included in the final analysis. For every one-point increase in the CFS, the multivariable-adjusted odds ratio (OR, 95% confidence interval [CI]) of failure to retain the preinjury BI was 1.34 (1.16–1.55);associations were consistent across levels of age and injury severities. Significant joint associations of frailty and age with poor functional recovery were observed. CFS was also associated with new care needs (OR for every one-point increase, 1.36, 95% CI, 1.17–1.58), unscheduled return visits (OR 1.26, 95% CI, 1.04–1.51), and falls (OR 1.23, 95% CI, 1.01–1.51). Other variables associated with failure to retain preinjury BI included road traffic accident and presence of hip fracture. Conclusion: Frailty was significantly associated with poor functional and health outcomes regardless of injury severity in middle-aged and older patients with trauma. Injury mechanisms and fracture locations were also significant predictors of functional recovery postinjury. © 2023 American Association for Geriatric Psychiatry

关键词： Clinical Frailty Scale Frailty functional recovery injury middle-to older age

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Novel ubiquitous configuration algorithm for power enhancement of PV array operating under partial shading conditions

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Computers and Electrical engineering 2025年 126卷

作者： Rahul Anand Bhavnesh Kumar Swaroop D Arjun Tyagi Data & AI Division Telstra Global Business Services LLP Bangalore India Department of Instrumentation and Control Engineering Netaji Subhas University of Technology New Delhi 110078 India Department of Studies in Computer Science University of Mysore Mysuru 570006 Karnataka India Department of Electrical Engineering Faculty of Technology University of Delhi Delhi 110007 India

The power-generating capacity of a photovoltaic (PV) array decreases dramatically under partial shade. Operating conditions reduce the power-generating capacity of the array and complicate MPP tracking. Reconfiguring the PV array can mitigate the partial shading effect. This paper presents a Novel Ubiquitous Configuration Algorithm (NUCA) for dynamically reconfiguring the PV array. Efficacy of the proposed algorithm has been tested on a PV array of 7 × 5 modules for mismatch in power loss, performance ratio, and fill factor. A relative comparison has also been made of the proposed configuration to the benchmark configurations, namely SP-TCT, TCT, BLHC, and BL-TCT. The PV array under NUCA has achieved a 10.8 % higher global maximum power point (GMPP) and 15.3 % lower power loss than the best-performing configuration. This completed research has been conducted in the MATLAB/Simulink environment.

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Retraction Note: Automated screening of congestive heart failure using variational mode decomposition and texture features extracted from ultrasound images

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Neural Computing and Applications 2024年第18期36卷 1-1页

作者： Raghavendra, U. Acharya, U. Rajendra Gudigar, Anjan Shetty, Ranjan Krishnananda, N. Pai, Umesh Samanth, Jyothi Nayak, Chaithra Department of Instrumentation and Control Engineering Manipal Institute of Technology Manipal University Manipal India Department of Electronics and Computer Engineering Ngee Ann Polytechnic Singapore Singapore Department of Biomedical Engineering School of Science and Technology SIM University Singapore Singapore Department of Biomedical Engineering Faculty of Engineering University of Malaya Kuala Lumpur Malaysia Department of Cardiology Kasturba Medical College and Hospital Manipal University Manipal India Department of Cardiovascular Technology School of Allied Health Sciences Manipal University Manipal India

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On Hammerstein and Wiener structure for data driven modelling in complex and nonlinear systems;A case study in smart building integrated microgrid

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AIP Conference Proceedings 2023年第1期2580卷

作者： Reza Fauzi Iskandar Edi Leksono Endra Joelianto Koko Friansa Irsyad Nashirul Haq Dept. of Eng. Physics Faculty of Industrial Technology Institut Teknologi Bandung Bandung Indonesia Engineering Physics School of Electrical Engineering Telkom University Bandung Indonesia Engineering Physics Research Group Faculty of Industrial Technology Institut Teknologi Bandung Bandung Indonesia Instrumentation and Control Research Group Faculty of Industrial Technology Institut Teknologi Bandung Bandung Indonesia Energy System Engineering Faculty of Industrial and Production Technology Institut Teknologi Sumatera Lampung Indonesia

Smart building integrated microgrid development shows attractive progress in research and application. Related structures of smart building and microgrid growth are more and more complex that requires sophisticated modeling methods. This situation may not simple, nonlinear, and distributed so difficult to obtain a related model analytically. This is an opportunity for researchers to develop a dynamic model from a data-driven modeling perspective. This paper aims to conduct a literature review and application study to map the potential and challenges of developing the Hammerstein and Wiener structure in complex and nonlinear systems modeling, as well as smart building integrated microgrid.

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Fault Tolerant Localization Based on K-means Clustering in Wireless Sensor Networks

Fault Tolerant Localization Based on K-means Clustering in W...

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IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)

作者： Soumya J Bhat K V Santhosh Department of Instrumentation and Control Engineering Centre for Cyber Physical System Manipal Institute of Technology Manipal Academy of Higher Education (MAHE) Manipal India

ISBN: (数字)9781728168289

ISBN: (纸本)9781728168296

Wireless Sensor Network (WSN) has been considered as an essential tool for many applications. Most of the applications of WSNs require the location of sensor nodes to be known. But, because of high power consumption and cost, it is not suitable to attach a GPS receiver with every node. For estimating the location of sensor nodes, localization algorithms make use of few location-aware nodes as reference nodes. But, sometimes, these reference nodes can turn faulty. They may estimate their locations wrongly due to software or hardware malfunctions. This affects the localization of the entire network. To overcome this problem, we have reported a fault tolerant localization algorithm called clustering based DV-Hop. This algorithm filters out faulty nodes using K-means clustering and majority voting methods. The performance of the algorithm is then compared with other localization algorithms. The reported algorithm shows better localization accuracies and more stable performance under faulty conditions.

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Implementing GIS for air navigation AIDS infrastructure optimization 40

Implementing GIS for air navigation AIDS infrastructure opti...

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40th Asian Conference on Remote Sensing: Progress of Remote Sensing Technology for Smart Future, ACRS 2019

作者： Khasuwan, Piyaparn Phaebua, Kittisak Chaimatanan, Supatcha Boonpoonga, Akkarat 88 Moo 9 Thung Sukala Siracha Chonburi20230 Thailand Industrial Electric and Control System Research Center Department of Teacher Training in Electrical Engineering Faculty of Technical Education Department of Electrical and Computer Engineering King Mongkut's University of Technology North Bangkok 1518 Pracharat 1 Road Wongsawang Bangsue Bangkok10800 Thailand

Air navigation aids infrastructure for civil aviation is one of the key enablers for implementation of new air navigation concept called Performance Based Navigation (PBN), which will allow more efficient use of airspace and, therefore, increase capacity to accommodate increasing air traffic. To implement PBN, the air traffic service route in the designated airspace must be covered with navigation aids infrastructure to provide adequate navigation performance to aircraft operating in such airspace. Coverage of ground-based navigation aids such as Distance Measuring Equipment (DME) depends on the conditions of the terrain around the installation site. To provide sufficient navigation coverage while being cost efficient, the location and number of the navigation aids equipment has to be optimized taking into account terrain geometry, radio propagation, airport location, and existing navigation aids network. For this reason, Geographic Information system (GIS) plays essential role in determining optimal network of navigation aids equipment. In this work, GIS platform for navigation aids infrastructure assessment and optimization is developed. The proposed platform enables cooperation between air navigation service provider and airspace users. The main goal is to support navigation aids planning with integrated and flexible tool. The platform is integrated with terrain and obstacle database, navigation aids database, and aeronautical information database (i.e. airspace boundary, air traffic services route, approach and departure procedures.). It is able to assess coverage of existing navigation aids network in 3-dimension in order to detect the coverage gaps. It also identifies obstructing obstacles or terrain. In addition, it optimizes number of additional equipment and associated installation site to satisfy required navigation performance. In this paper, architecture of the proposed GIS platform is described. Methodology to assess coverage of a given DME as well as m

关键词： Air navigation

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PoCET: a Polynomial Chaos Expansion Toolbox for Matlab

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IFAC-PapersOnLine 2020年第2期53卷 7256-7261页

作者： Felix Petzke Ali Mesbah Stefan Streif Automatic Control & System Dynamics Lab at Technische Universität Chemnitz Faculty for Electrical Engineering and Information Technology Chemnitz Germany Department of Chemical and Biomolecular Engineering University of California Berkeley CA USA

We introduce PoCET: a free and open-scource Polynomial Chaos Expansion Toolbox for Matlab, featuring the automatic generation of polynomial chaos expansion (PCE) for linear and nonlinear dynamic systems with time-invariant stochastic parameters or initial conditions, as well as several simulation tools. It offers a built-in handling of Gaussian, uniform, and beta probability density functions, projection and collocation-based calculation of PCE coefficients, and the calculation of stochastic moments from a PCE. Efficient algorithms for the calculation of the involved integrals have been designed in order to increase its applicability. PoCET comes with a variety of introductory and instructive examples. Throughout the paper we show how to perform a polynomial chaos expansion on a simple ordinary differential equation using PoCET, as well as how it can be used to solve the more complex task of optimal experimental design.

关键词： polynomial chaos simulation tools optimal experiment design optimal control

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