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Machine learning-based analysis of multiple simultaneous disturbances applied on a transmission-reflection analysis based distributed sensor using a nanoparticle-doped fiber

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Photonics Research 2023年第3期11卷 364-372页

作者： LETíCIA AVELLAR ANSELMO FRIZERA HELDER ROCHA MARIANA SILVEIRA CAMILO DíAZ WILFRIED BLANC CARLOS MARQUES ARNALDO LEAL-JUNIOR Graduate Program of Electrical Engineering Federal University of Espirito SantoVitoria 29075-910Brazil Université Cote d'Azur Institut de Physique de NiceCNRS06108 Nice Cedex 2France I3N and Physics Department Universidade de AveiroCampus Universitário de SantiagoAveiro 3810-193Portugal

Photonic technology combined with artificial intelligence plays a key role in the development of the latest smart system trends,integrating cutting-edge technology with machine learning *** paper proposes a transmission-reflection analysis based system using dielectric nanoparticle-doped fiber combined with artificial intelligence to address one of the major problems in the distributed sensing approach:reducing the cost while maintaining high spatial resolution to close the gap between distributed sensors and the general *** learning-based models are designed to classify the perturbed positions when the same force is used and force regression when different forces are applied on each *** results show an accuracy of 99.43%in the position classification of multiple disturbances and an rms error of 1.53 N in the force regression,which represents 5%of the force *** addition,a smart environment using the current system is proposed,which presented 100%accuracy in identifying the positions of different persons in the *** smart environment enables remote home care of patients with high reliability,intelligent decision-making,and a predictive capability.

关键词： smart fiber positions

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Development and validation of learning media on combustion engine 6

Development and validation of learning media on combustion e...

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6th International Conference on Technology and Vocational Teachers, ICTVT 2020

作者： Badu, M.R. Widarto Uno, H.B. Dako, R.D.R. Uloli, H. Graduate Program of Mechanical Engineering Education Universitas Negeri Yogyakarta Indonesia Mechanical Engineering Education Graduate School Universitas Negeri Yogyakarta Indonesia Teknologi Pendidikan State University of Gorontalo Indonesia Department of Electrical Engineering State University of Gorontalo Indonesia Pendidikan Teknik Mesin Fakultas Teknik Universitas Negeri Gorontalo Indonesia

The research aims to develop learning media on fuel motor lesson concerning the aspects of media, material and media design. It is conducted in mechanical engineering education study program of State University of Gorontalo with the method and development of ADDIE model adopted from Lee and Owens. The research stage consists of analysis, design, development and implementation and evaluation. The development of learning media is carried out only to the stage of development and implementation. It shows that the product of interactive multimedia-based learning media on fuel motor lesson is feasible to be applied, it is based on the expert validation with the percentage of 85% (media design expert), 75% (media expert), and 87% (material expert). The average of all aspects achieved is 82.333% (very feasible) © Published under licence by IOP Publishing Ltd.

关键词： Product design

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Temporal Mode Conversion in a Waveguide by Fast Motion of its Plates

Temporal Mode Conversion in a Waveguide by Fast Motion of it...

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CLEO: Fundamental Science, CLEO:FS 2024 - Part of Conference on Lasers and Electro-Optics, CLEO 2024

作者： Solís, Diego M. Yin, Shixiong Galiffi, Emanuele Alù, Andrea Engheta, Nader Departamento de Tecnología de los Computadores y de las Comunicaciones University of Extremadura Cáceres10003 Spain City University of New York Photonics Initiative Advanced Science Research Center New York10031 United States City University of New York Physics Program Graduate Center New York10031 United States Department of Electrical and Systems Engineering University of Pennsylvania PhiladelphiaPA19104 United States

ISBN: (纸本)9781957171395

We show, semi-analytically and numerically, how the relativistic accelerated motion of a waveguide's parallel plates induces fast mode conversion including reflection, similar to the temporal interface by sudden variation of interplate distance through conductivity switching. © Optica Publishing Group 2024 © 2024 The Author(s)

关键词： Waveguides

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New perspectives of a 5G operating model

New perspectives of a 5G operating model

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International Conference on Telecommunication, Electronic and Computer engineering 2019, ICTEC 2019

作者： Suryanegara, Muhammad Graduate Program in Telecommunications Management Department of Electrical Engineering Depok Universitas Indonesia Indonesia

The way 5G operators manage infrastructure, enterprise and customers will be radically different compared to preceding generations. This paper aims to provide new perspectives on the 5G operating model by presenting a visual guide on how mobile network operators should deliver value to their prospective 5G customers. The model presented enriches the eTOM framework by elaborating on the implications of virtual network operations, the consequences of an mmWave band, the value of the non-human customer, the security concerns, the role of the content provider in a new ecosystem, and the anticipation of the next generation technological platform. © 2020 IOP Publishing Ltd. All rights reserved.

关键词： Network management

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Rational design of perfectly oriented thermally activated delayed fluorescence emitter for efficient red electroluminescence

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Science China Materials 2021年第4期64卷 920-930页

作者： Xuan Zeng Yu-Hsin Huang Shaolong Gong Xuguang Yin Wei-Kai Lee Xiao Xiao Yu Zhang Weixuan Zeng Chen-Han Lu Chang-Cheng Lee Xiu-Qin Dong Cheng Zhong Chung-Chih Wu Chuluo Yang Renmin Hospital of Wuhan University Department of ChemistryHubei Key Lab on Organic and Polymeric Optoelectronic MaterialsWuhan UniversityWuhan 430072 College of Materials Science and Engineering Shenzhen UniversityShenzhen 518060 Department of Electrical Engineering Graduate Institute of Electronics Engineering and Graduate Institute of Photonics and OptoelectronicsTaiwan UniversityTaipei 10617

How to control the dipole orientation of organic emitters is a challenge in the field of organic light-emitting diodes(OLEDs).Herein,a linear thermally activated delayed fluorescence(TADF)molecule,PhNAI-PMSBA,bearing a 1,8-naphthalimide-acridine framework was designed by a doublesite long-axis extension strategy to actively control the dipole *** horizontal ratio of emitting dipole orientation of PhNAI-PMSBA reaches 95%,substantially higher than that of isotropic emitters(67%).This unique feature is associated with the intrinsically horizontal molecular orientation of PhNAI-PMSBA and the good agreement between its transition dipole moment direction and molecular long *** PhNAI-PMSBA-based OLED achieves an ultrahigh optical outcoupling efficiency of 43.2%and thus affords one of the highest red electroluminescence with an external quantum efficiency of 22.3%and the Commission International de l’Eclairage 1931 coordinates at around(0.60,0.40).

关键词： organic light-emitting diodes thermally activated delayed fluorescence dipole orientation outcoupling efficiency

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Identifying Features for the Improvement of IoT Services: A Kano Model Approach 2

Identifying Features for the Improvement of IoT Services: A ...

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2nd International Conference on electrical, Communication and Computer engineering, ICECCE 2020

作者： Prasetyo, DImas Agung Suryanegara, Muhammad Graduate Program in Telecommunications Management Universitas Indonesia Department of Electrical Engineering Depok Indonesia

ISBN: (纸本)9781728171166

This paper aims to identify what new features need to be improved in the IoT services implemented in the Jakarta Smart City platform. We use sequential steps to construct the Kano Model and first define 10 attributes representing features as recommended improvements for the future IoT. The relevant survey was conducted among institutional users of the IoT services under the platform of the Jakarta Smart City. The findings show that 2 attributes fall into the category of Must Be, which are strongly expected by the users. These are the features that improve working productivity and efficiency and those that guarantee security and privacy. The rest of the attributes fall into the category of Indifferent, which users do not consider as significantly affecting their satisfaction in the future. © 2020 IEEE.

关键词： Internet of things

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Multi-Instance Task in Swarm Robotics: Sorting Groups of Robots or Objects into Clusters with Minimalist Controllers

Multi-Instance Task in Swarm Robotics: Sorting Groups of Rob...

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IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

作者： Adilson Krischanski Yuri K. Lopes Andre B. Leal Ricardo F. Martins Roberto S.U. Rosso Department of Computer Science Santa Catarina State University (UDESC) Joinville Brazil Graduate Program in Applied Computing (PPGCAP) UDESC Brazil Department of Electrical Engineering Santa Catarina State University (UDESC) Joinville Brazil

Relying only on behaviors that emerge from simple responsive controllers; swarms of robots have been shown capable of autonomously aggregate themselves or objects into clusters without any form of communication. We push these controllers to the limit, requiring robots to sort themselves or objects into different clusters. Based on a responsive controller that maps the current reading of a line-of-sight sensor to a pair of speeds for the robots' differential wheels, we demonstrate how multiple tasks instances can be accomplished by a robotic swarm. Using the dividing rectangles approach and physics simulation, a training step optimizes the parameters of the controller guided by a fitness function. We conducted a series of systematic trials in physics-based simulation and evaluate the performance in terms of dispersion and the ratio of clustered robots/objects. Across 20 trials where 30 robots cluster themselves into 3 groups, an average of 99.83% of them were correctly clustered into their group after 300 s. Across 50 trials where 15 robots cluster 30 objects into 3 groups, an average of 61.20%, 82.87%, and 97.73% of objects were correctly clustered into their group after 600 s, 900 s, and 1800 s, respectively. The object cluster behavior scales well while the aggregation does not, the latter due to the requirement of control tuning based on the number of robots.

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Power-based Control for Microgrids and Extreme Fast Charging Stations with Low-Harmonic Current Content in the Medium Voltage Power Grid

Power-based Control for Microgrids and Extreme Fast Charging...

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IEEE Transportation Electrification Conference and Expo (ITEC)

作者： Dener A. De L. Brandão Thiago M. Parreiras João Marcus S. Callegari Igor A. Pires Danilo I. Brandao Braz De J. Cardoso Filho Graduate Program in Electrical Engineering Universidade Federal de Minas Gerais Belo Horizonte MG Brazil Institute of Technological Sciences - Universidade Federal de Itajubá Itabira Minas Gerais Brazil Department of Electronic Engineering Universidade Federal de Minas Gerais Belo Horizonte Brazil Department of Electrical Engineering Universidade Federal de Minas Gerais Belo Horizonte Brazil

The energy and transport sectors are responsible for a large portion of the emission of polluting gases into the atmosphere. Less polluting forms of energy and the electrification of the vehicle fleets are solutions to reduce this emission. In this context, the effect of high penetrion of distributed generation resources (DERs) and extreme fast charging (XFC) stations in the power grid is more evident. This paper proposes the use of the power-based control (PBC) to manage microgrids and XFC stations connected to the medium-voltage (MV) power grid. With the proposed control, the stations can mitigate the effect of the insertion of intermittent sources on the power system. Simulation results show that the active power dispatchability is achieved at the point of common coupling (PCC) with the proposed strategy, smoothing the power demand by 41 %. In such a scenario, the current total demand distortion (TDD) in the XFC stations is 0.19% using the Zero Harmonic Distortion (ZHD) converter.

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Single-molecule localization microscopy of expanded mammalian centrioles unravels the ultrastructural constitution of distal appendages

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Biophysical journal 2023年第3S1期122卷 17a页

作者： Chang, Ting-Jui B Hsu, Jimmy C-C Yang, Tony Physics National Taiwan University Taipei City Taiwan Nano Science and Technology Program Taiwan International Graduate Program Academia Sinica Taipei City Taiwan Electrical Engineering National Taiwan University Taipei City Taiwan Electrical Engineering National Taiwan University Taipei City Taiwan Graduate Institute of Biomedical Electronics and Bioinformatics National Taiwan University Taipei City Taiwan

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Real-Time Fault Detection Scheme for Industrial Chemical Tennessee Eastman Process

Real-Time Fault Detection Scheme for Industrial Chemical Ten...

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

作者： Khadija Attouri Majdi Mansouri Mansour Hajji Abdelmalek Kouadri Kais Bouzrara Hazem Nounou Institut Superieur des Sciences Appliques et de Technologie de Kasserine Kairouan University Tunisia The Department of Electrical and Computer Engineering Program Texas A&M University at Qatar Doha Qatar Signals and Systems Laboratory Institute of Electrical and Electronics Engineering University M Hamed Bougara of Boumerdes Boumerdes Algeria The Research Laboratory of Automation Signal Processing and Image National Engineering School of Monastir Tunisia

ISBN: (数字)9798350373974

ISBN: (纸本)9798350373981

The key idea behind this study is to integrate a moving window dynamic PCA (MW-DPCA) methodology for fault detection within the Tennessee Eastman process (TEP) into a low-computational power system, the Raspberry Pi 4 card, for real-time application. Indeed, the paramount importance of real-time fault detection (FD) in intricate industrial processes presents a critical challenge. Various data-driven techniques have been developed to ensure safety, maintain operational stability, and optimize productivity in such processes. Principal Component Analysis (PCA) is a fundamental data-driven technique that utilizes dimensionality reduction to extract the most informative features from high-dimensional data, simplifying analysis and potentially revealing underlying fault patterns. However, PCA primarily focuses on static relationships and may miss crucial temporal dynamics for fault identification. This is where dynamic PCA (DPCA) excels. By incorporating lagged values of variables, DPCA captures the temporal evolution of features, enabling a more comprehensive understanding of process behavior and improving the detection of faults involving dynamic changes. In order to address the stochastic measurements, a moving average filter tool is also employed. The results obtained and the successful realization of this implementation demonstrate the adaptability of the approach and pave the way for its seamless integration into practical industrial applications.

关键词： Fault detection Power system dynamics Power system stability Feature extraction electrical fault detection Real-time systems Stability analysis Robustness Safety Principal component analysis

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