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Green Energy, Computing and Sustainable Technology (GECOST), International Conference on

作者： Ing Ming Chew W. K. Wong Filbert H. Juwono Teck Chai Tiong Department of Electrical and Computer Engineering Curtin University Malaysia Miri Malaysia Computer Science Program University of Southampton Malaysia Nusajaya Malaysia Department of Electrical and Computer Engineering Curtin University Malaysia Miri Sarawak Malaysia

ISBN: (纸本)9781665486644

This paper aims to analyze the determinant parameters of Genetic Algorithm (GA) analysis for the optimized control performance of a closed control loop. The determinant parameters of GA optimization analysis cover population size (nPop), mutation rate (mu) and iteration (iter.) are analyzed and justified. The control terminology covers the Proportional-Integral-Derivative (PID) controller, a prestigious solution for industrial control applications. Besides, the research proposed stability analysis to determine the upper and lower limit settings for the optimization analysis. The research has begun with model identification, stability analysis and is followed by determining the controller tunings. The performance indexes are applied to compare the response performance of GA with deterministic controller tunings. Analysis results and discussion shows that GA with proper determinant parameters’ settings are performing better than other tuning methods in the closed loop control performance.

关键词： Analytical models Terminology Sociology Process control Stability analysis Performance analysis Statistics

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Q-Learning-Based Multi-Objective Global Path Planning for UGV Navigation*

Q-Learning-Based Multi-Objective Global Path Planning for UG...

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IEEE Latin American Robotics Symposium, LARS

作者： Hiago O. B. Batista Thayron M. Hudson Kevin B. de Carvalho Alexandre S. Brandão Department of Electrical Engineering Graduate Program in Computer Science Núcleo de Especialização em Robótica (NERo) Universidade Federal de Viçosa Viçosa - MG Brazil

ISBN: (数字)9798331508807

ISBN: (纸本)9798331508814

This paper presents an offline path planning strategy for unmanned ground vehicles (UGVs) using Q-learning. The proposed method addresses path optimization in warehouse-like environments, where tasks involve item pickup and delivery to specific locations. The Q-learning algorithm trains an agent to determine the most efficient routes, with validation conducted in an $8 \times 5$ meter workspace equipped with an Optitrack motion capture system. The workspace was discretized into a $16 \times 10$ grid, allowing the Q-learning to effectively navigate through complex obstacle-laden scenarios. Experimental results indicate that the Q-learning approach outperforms traditional methods such as Dijkstra, A-star, and Breadth-First Search in terms of path length, number of turns, planning time, and overall success rate; being up to 7 times faster to plan a path and reducing the number of bends by up to 41%. The Q-learning based paths feature more linear segments, which contribute to energy savings and improved navigational efficiency. Future work will explore applications in heterogeneous multi-agent systems and enhancements in training time and agent collaboration.

关键词： Training Meters Q-learning Navigation Path planning Motion capture Planning Robots Optimization Multi-agent systems

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Anomalous vortex Hall effect in a ferromagnet/superconductor heterostructure

arXiv

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arXiv 2025年

作者： Sun, Weideng Swatek, Przemyslaw Fan, Yihong Yun, Hwanhui Lyu, Deyuan Mkhoyan, K. Andre Wang, Jian-Ping Qiu, Gang Department of Electrical and Computer Engineering University of Minnesota Twin Cities MinneapolisMN55455 United States Department of Chemical Engineering and Materials Science University of Minnesota Twin Cities MinneapolisMN55455 United States Korea Research Institute of Chemical Technology Daejeon34114 Korea Republic of

The coexistence of superconductivity and ferromagnetism is a fascinating and complex phenomenon in condensed matter physics, as these two states are typically mutually exclusive due to their competing spin configurations. However, the interplay between these two orders through the proximity effect has been a subject of intense research as it opens up possibilities for novel technological applications. Here, we report the coexistence of superconductivity and ferromagnetism in superconducting δ-TaN/ferromagnetic CoFeB heterostructures grown by facing-target sputtering. Superconducting states are comprehensively investigated, with evidence of strong correlation between the superconducting and ferromagnetic order parameters. In particular, we observed an anomalous Hall signal without the presence of the magnetic field in the mixed state of the superconducting transition near the critical temperature. Systematic characterizations of the Hall resistance under varying temperatures and magnetic fields attribute this behavior to the vortex Hall effect (VHE), whereby superconducting vortices in the mixed state undergo transverse motions near the critical temperature. Unlike previously reported VHEs in conventional type-II superconductors, the anomalous VHE in TaN is induced by the stray field in the underlying CoFeB layers. The concurrency of strong spin-orbit coupling, the superconductivity in the TaN layer, and the highly spin-polarized ferromagnetic ordering in the CoFeB layer offers new insights into proximity-induced vortex dynamics and the design of novel superconducting spintronic devices. Copyright © 2025, The Authors. All rights reserved.

关键词： Magnetic fields

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The Impact of Nickel Doping on Metal-Oxide Network in Solution-Processed Indium Zinc Oxide Transistors

SSRN

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SSRN 2023年

作者： Kim, In Ho Kim, Se Jin Kim, Sung-Jin An, Tae Kyu Jeong, Yong Jin Department of Materials Science and Engineering Korea National University of Transportation Chungju27469 Korea Republic of College of Electrical and Computer Engineering Chungbuk National University Cheongju28644 Korea Republic of Department of Polymer Science and Engineering Korea National University of Transportation Chungju27469 Korea Republic of

Solution-processed nickel zinc oxide (IZO) thin-film transistors (TFTs) are of great interest as core elements for future display technology based on the low-cost manufacture. In this study, we suggest a solution-based doping process of the IZO semiconductors with a resource-friendly Ni carrier suppressor, instead of Ga, and investigated the effects of Ni on their transistor operation. Owing to similar size of Ni2+ to Zn2+, an appropriate concentration of Ni partially substituted Zn sites and the strong bonding force of Ni with O reduces hydroxide groups on the surface bonded to Zn, whereas excess Ni addition rather inhibited the formation of smooth thin film. The resulting Ni-doped IZO TFT devices from an optimized Ni concentration exhibited higher performances with significantly reduced off-state currents while maintaining high on-state currents, compared to IZO TFTs. This approach enriches the current family of solution-processed metal oxide semiconductors by providing another option for resource-friendly carrier suppressor, which can contribute to the inexpensive and simple solution process for fabricating TFTs. © 2023, The Authors. All rights reserved.

关键词： Thin film transistors

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Ion irradiation induced crystalline disorder accelerates interfacial phonon conversion and reduces thermal boundary resistance

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Physical Review B 2024年第16期109卷 165421-165421页

作者： Thomas W. Pfeifer Henry Aller Eric R. Hoglund Ethan A. Scott John A. Tomko Habib Ahmad Alan Doolittle Ashutosh Giri Khalid Hattar Alan J. H. McGaughey Patrick E. Hopkins Department of Mechanical and Aerospace Engineering University of Virginia Charlottesville Virginia 22904 USA Department of Mechanical Engineering Carnegie Mellon University Pittsburgh Pennsylvania 15213 USA Department of Materials Science and Engineering University of Virginia Charlottesville Virginia 22904 USA Sandia National Laboratories Albuquerque New Mexico 87185 USA School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta Georgia 30332 USA Center for Advanced Electronics & Photovoltaic Engineering IIUI Islamabad Department of Mechanical Industrial and Systems Engineering University of Rhode Island Kingston Rhode Island 02881 USA Department of Nuclear Engineering University of Tennessee Knoxville Tennessee 37996 USA Department of Physics University of Virginia Charlottesville Virginia 22904 USA

Traditional understanding of the thermal boundary resistance (TBR) across solid-solid interfaces posits that the vibrational densities of states overlap between materials dictates interfacial energy transport, with phonon scattering occurring at the interface. Using atomistic simulations, we show a mechanism for control of TBR; point defects near an interface can lead to both short- and midrange disorder, accelerating the conversion of vibrational energy between bulk and interfacial modes, ultimately reducing the TBR. We experimentally demonstrate this reduction through ion irradiation of gallium nitride and subsequently measuring the TBR across Al/GaN interfaces.

关键词： Crystal defects Defects Irradiation effects Lattice dynamics Phonons Thermal boundary conductance Vibrational states Interfaces Semiconductor compounds Transducers Ion implantation Molecular dynamics Thermoreflectance

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Growth windows of epitaxial NbxN films on c-plane sapphire and their structural and superconducting properties

arXiv

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arXiv 2022年

作者： Wright, John G. Xing, Huili G. Jena, Debdeep Department of Materials Science and Engineering Cornell University IthacaNY14853 United States Department of Materials Science and Engineering Kavli Institute for Nanoscale Science School of Electrical and Computer Engineering Cornell University IthacaNY14853 United States

NbN films are grown on c-plane sapphire substrates by molecular beam epitaxy. The structural and superconducting properties of the film are characterized to demonstrate that growth parameters such as substrate temperature and active nitrogen flux effect the structural phase of films, and thereby the superconducting critical temperature. Four phases of NbN are identified for films grown in different conditions. In a novel finding, we demonstrate that atomically flat and highly crystalline β-Nb2N films can be grown at substrate temperatures of 1100 ◦C or higher, and that the superconducting critical temperature of phase pure β-Nb2N films is 0.35 K Copyright © 2022, The Authors. All rights reserved.

关键词： Niobium compounds

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Interferometry Among Strongly Driven Quasiparticles with Distinct Dynamical and Geometrical Phases

Interferometry Among Strongly Driven Quasiparticles with Dis...

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2024 Conference on Lasers and Electro-Optics, CLEO 2024

作者： O'Hara, Seamus Costello, Joe Tian, Qi Wu, Qile West, Ken Pfeiffer, Loren Sherwin, Mark Wu, Liang Department of Physics Institute of Terahertz Science and Technology University of California Santa Barbara Santa BarbaraCA93106 United States Intelligence Community Post-Doctoral Research Fellowship Program PhiladelphiaPA19104 United States Department of Physics University of Pennsylvania PhiladelphiaPA19104 United States Department of Electrical and Computer Engineering Princeton University PrincetonNJ08542 United States

ISBN: (纸本)9781957171395

In this proceeding, we present polarization data of sidebands emitted from strongly driven quasiparticles, demonstrate the dependence of these data on various parameters of the external driving field, and describe the data using an analytical expression, dependent on driving field parameters and the effective Hamiltonian of the system. We propose using this method on spin-momentum locked systems, such as altermagnets, to observe and reconstruct sidebands which are influenced by the topology of individual bands. © Optica Publishing Group 2024 © 2024 The Author(s)

关键词： Topology

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Active Beam Steering of Terahertz Waves with Phase Change-based Metasurfaces

Active Beam Steering of Terahertz Waves with Phase Change-ba...

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Conference on Lasers and Electro-Optics (CLEO)

作者： Riad Yahiaoui Zizwe A. Chase Zhixiang Huang Xi Wang Thomas A. Searles Department of Electrical & Computer Engineering University of Illinois at Chicago Chicago IL USA Department of Materials Science and Engineering University of Delaware Newark DE USA

We demonstrate active control of THz beams with a phase change material, VO 2 , patterned into a metasurface microcavity. We experimentally confirm simulations showing up to 35 degree deflection at 300 GHz.

ISBN: (数字)9781957171050

ISBN: (纸本)9781665466660

关键词： Phase change materials Beam steering Electro-optic deflectors Lasers and electrooptics Metasurfaces Microcavities Laser beams

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Predicting Human Activity with LSTM Face Detection on Server Surveillance System

Predicting Human Activity with LSTM Face Detection on Server...

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International Conference on Artificial Intelligence in Information and Communication (ICAIIC)

作者： Alexander Nurenie Yaya Heryadi Lukas Wayan Suparta Yulyani Arifin Computer Science Department BINUS Graduate Program – Doctor of Computer Science Bina Nusantara University Indonesia Cognitive Engineering Research Group (CERG) Universitas Katolik Indonesia Atma Jaya Indonesia Department of Electrical Engineering Faculty of Industrial Technology Institut Teknologi Nasional Yogyakarta Indonesia

Surveillance server technology was growth with new technology, effective, extra new features, human friendly, and human deals with big amount data, can't view and collect the data in the short time, and took time to analyze, playback video/picture to determine machine, human, vehicle or environment issues or performance, Surveillance Server Systems now which has the ability to face recognition, face detection, human detection, motion detection, license plate recognition, The authors perform this study that still new this research has never been done before to determine the efficacy of the LSTM in predicting human behavior (Long Short Term Memory) Face Detection on Server surveillance system, by taking log view data with a total of 91501 Face detection data downloaded from 10/18/2022~11/9/2022, the data will be processed using Python programming and training so that it can be used to predict the future regarding human activities that vary utilizing time series prediction LSTM include the number of daily activities, the highest and lowest numbers of days, and the maximum and minimum numbers of days. from the results of this study it was found to help to find out the days with the lowest number of humans and the days with the highest number of human activities, so that the owner can predict with sequence of the data the service would be provided when human activity is high in certain area or certain day, it can also can find out the maximum or minimum amount human counting day by day, and compare able some different date and location, the author will continue to do more in-depth research the others data related with prediction with deep learning server surveillance machine system interaction with human, vehicle behavior in the future studies.

关键词： Training Surveillance Time series analysis programming Behavioral sciences Servers Face detection

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arXiv

引用

arXiv 2025年

作者： Zhang, Tianyi Krayev, Andrey Yang, Tilo H. Mao, Nannan Hoang, Lauren Wang, Zhien Liu, Hongwei Peng, Yu-Ren Zhu, Yunyue Isotta, Eleonora Kira, Maria E. Righi, Ariete Pimenta, Marcos A. Chueh, Yu-Lun Pop, Eric Mannix, Andrew J. Kong, Jing Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA02139 United States HORIBA Scientific NovatoCA94949 United States Department of Electrical Engineering Stanford University StanfordCA94305 United States Department of Materials Science and Engineering National Tsing Hua University Hsinchu30013 Taiwan Max Planck Institute for Sustainable Materials Dusseldorf40237 Germany Departamento de Física Universidade Federal de Minas Gerais Av. Antônio Carlos 6627 Pampulha Minas Gerais Belo Horizonte31270-901 Brazil Department of Materials Science & Engineering Stanford University StanfordCA94305 United States

Two-dimensional (2D) Janus transition metal dichalcogenides (TMDs) are promising candidates for various applications in non-linear optics, energy harvesting, and catalysis. These materials are usually synthesized via chemical conversion of pristine TMDs. Nanometer-scale characterization of the obtained Janus materials’ morphology and local composition is crucial for both the synthesis optimization and the future device applications. In this work, we present a cross-correlated atomic force microscopy (AFM) and tip-enhanced Raman spectroscopy (TERS) study of Janus MoSeS and Janus MoSSe monolayers synthesized by the hydrogen plasma-assisted chemical conversion of MoSe2 and MoS2, respectively. We demonstrate how the choice of the growth substrate and the starting TMD affects the morphology of the resulting Janus material. Furthermore, by employing TERS imaging, we demonstrate the presence of nanoscale islands (~20 nm across) of MoSe2- MoSeS (MoS2-MoSSe) vertical heterostructures originating from the bilayer nanoislands in the precursor monolayer crystals. The understanding of the origins of nanoscale defects in Janus TMDs revealed in our study can help with further optimization of the Janus conversion process towards uniform and wrinkle-/crack-free Janus materials. Moreover, our work shows that cross-correlated AFM and TERS imaging is a powerful and accessible method for studying nanoscale composition and defects in Janus TMD monolayers. Copyright © 2025, The Authors. All rights reserved.

关键词： Layered semiconductors

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