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arXiv 2021年

作者： Zhong, Zixin Cheung, Wang Chi Tan, Vincent Y.F. Department of Computing Science University of Alberta Canada Department of Industrial Systems and Management National University of Singapore Singapore Institute of Operations Research and Analytics National University of Singapore Singapore Department of Mathematics National University of Singapore Singapore Department of Electrical and Computer Engineering National University of Singapore Singapore

We study the Pareto frontier of two archetypal objectives in multi-armed bandits, namely, regret minimization (RM) and best arm identification (BAI) with a fixed horizon. It is folklore that the balance between exploitation and exploration is crucial for both RM and BAI, but exploration is more critical in achieving the optimal performance for the latter objective. To this end, we design and analyze the BOBW-LIL’UCB(γ) algorithm. Complementarily, by establishing lower bounds on the regret achievable by any algorithm with a given BAI failure probability, we show that (i) no algorithm can simultaneously perform optimally for both the RM and BAI objectives, and (ii) BOBW-LIL’UCB(γ) achieves order-wise optimal performance for RM or BAI under different values of γ. Our work elucidates the trade-off more precisely by showing how the constants in previous works depend on certain hardness parameters. Finally, we show that BOBW-LIL’UCB outperforms a close competitor UCBα (Degenne et al., 2019) in terms of the time complexity and the regret on diverse datasets such as MovieLens and Published Kinase Inhibitor Set. © 2021, CC BY.

关键词： Economic and social effects

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Optimization of the Separation Equipment in the Aerospace Unmanned System

Optimization of the Separation Equipment in the Aerospace Un...

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2019 IEEE International Conference on Unmanned systems, ICUS 2019

作者： Yue, Wang Shaowei, Feng Wei, He Jie, Wu Ran, Zhang Ruoquan, Li China Academy of Launch Vehicle Technology Research and Development Center Beijing China China Academy of Launch Vehicle Technology Beijing Institute of Astronautical Systems Engineering Beijing China

ISBN: (纸本)9781728137926

The strap-on launch vehicle is widely adopted in order to increase the launching capability of the launch vehicle, especially in the unmanned system. The connect and separation equipment between the core and the booster is one of the most key techniques in the aerospace unmanned system. In this paper, the mechanical property of the astronautic separation equipment is researched based on the different axial stiffness in tension and compression characteristics, which could be simulated as the bi-linear spring model. With the single degree of freedom analytical schematic model, every design parameter that affects the separation equipment's stiffness is researched, which can optimize the astronautic separation equipment's mechanical property. This method can provide a reference and a basis for the aerospace unmanned system design. © 2019 IEEE.

关键词： Launch vehicles

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Prediction of shock wave configurations in compression ramp ows

arXiv

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arXiv 2020年

作者： Hu, Yan-Chao Zhou, Wen-Feng Yang, Yan-Guang Tang, Zhi-Gong Qin, Zhao-Hu Hypervelocity Aerodynamics Institute China Aerodynamics Research and Development Centre Mianyang621000 State Key Laboratory for Turbulence and Complex Systems and Department of Mechanics College of Engineering Peking University Beijing100871 China China Aerodynamics Research and Development Centre Mianyang621000

Here, we provide a theoretical framework revealing that a steady compression ramp ow must have the minimal dissipation of kinetic energy, and can be demonstrated using the least action principle. For a given inow Mach number M0 and ramp angle, the separation angle s manifesting ow system states can be determined based on this theory. Thus, both the shapes of shock wave configurations and pressure peak ppeak behind reattachment shock waves are predictable. These theoretical predictions agree excellently with both experimental data and numerical simulations, covering a wide range of M0 and In addition, for a large separation, the theory indicates that s only depends on M0 and, but is independent of the Reynolds number Re and wall temperature Tw. These facts suggest that the proposed theoretical framework can be applied to other ow systems dominated by shock waves, which are ubiquitous in aerospace engineering. Copyright © 2020, The Authors. All rights reserved.

关键词： Shock waves

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Corrigendum to “Multi population-based chaotic differential evolution for multi-modal and multi-objective optimization problems” Appl. Soft Comput. 132 (2023) 109909

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Applied Soft Computing 2025年 169卷

作者： Hafiz Tayyab Rauf Jiechao Gao Ahmad Almadhor Ali Haider Yu-Dong Zhang Fadi Al-Turjman Centre for Smart Systems AI and Cybersecurity Staffordshire University Stoke-on-Trent United Kingdom Department of Computer Science University of Virginia USA Department of Computer Engineering and Networks College of Computer and Information Sciences Jouf University Sakaka 72388 Saudi Arabia Department of Computer Science University of Gujrat Gujrat Pakistan School of Informatics University of Leicester Leicester LE1 7RH UK Research Center for AI and IoT Faculty of Engineering University of Kyrenia Mersin 10 Turkey Artificial Intelligence Engineering Dept. AI and Robotics Institute Near East University Mersin 10 Turkey

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Corrigendum to ‘Toward a Blind Image Quality Evaluator in the Wild by Learning beyond Human Opinion Scores’ Pattern Recognition. Volume 137 (2023) 109296

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Pattern Recognition 2023年 139卷

作者： Zhihua Wang Zhi-Ri Tang Jianguo Zhang Yuming Fang Research Institute of Trustworthy Autonomous Systems and Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen China Department of Computer Science City University of Hong Kong Hong Kong Peng Cheng Laboratory School of Information Management Jiangxi University of Finance and Economics Nanchang China

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Design of biorefineries towards carbon neutrality: A critical review

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Bioresource Technology 2023年 369卷 128256页

作者： Culaba, Alvin B. Mayol, Andres Philip San Juan, Jayne Lois G. Ubando, Aristotle T. Bandala, Argel A. Concepcion II, Ronnie S. Alipio, Melchizedek Chen, Wei-Hsin Show, Pau Loke Chang, Jo-Shu Department of Mechanical Engineering De La Salle University 2401 Taft Avenue Manila0922 Philippines Center for Engineering Sustainable Development Research De La Salle University 2401 Taft Avenue Manila0922 Philippines Department of Manufacturing Engineering and Management De La Salle University 2401 Taft Avenue Manila0922 Philippines Department of Industrial and Systems Engineering De La Salle University 2401 Taft Avenue Manila0922 Philippines Thermomechanical Analysis Laboratory De La Salle University Laguna Campus LTI Spine Road Laguna Blvd. Laguna Binan4024 Philippines Department of Electronics and Computer Engineering De La Salle University 2401 Taft Avenue Manila0922 Philippines Department of Aeronautics and Astronautics National Cheng Kung University Tainan701 Taiwan Research Center for Smart Sustainable Circular Economy Tunghai University Taichung407 Taiwan Department of Mechanical Engineering National Chin-Yi University of Technology Taichung411 Taiwan Zhejiang Provincial Key Laboratory for Subtropical Water Environment and Marine Biological Resources Protection Wenzhou University Wenzhou325035 China Department of Sustainable Engineering Saveetha School of Engineering SIMATS Chennai602105 India Department of Chemical and Environmental Engineering University of Nottingham Malaysia 43500 Semenyih Selangor Darul Ehsan Malaysia Department of Chemical and Materials Engineering Tunghai University Taichung407 Taiwan Department of Chemical Engineering National Cheng Kung University Tainan701 Taiwan

The increase in worldwide demand for energy is driven by the rapid increase in population and exponential economic development. This resulted in the fast depletion of fossil fuel supplies and unprecedented levels of greenhouse gas in the atmosphere. To valorize biomass into different bioproducts, one of the popular and carbon–neutral alternatives is biorefineries. This system is an appropriate technology in the circular economy model. Various research highlighted the role of biorefineries as a centerpiece in the carbon–neutral ecosystem of technologies of the circular economy model. To fully realize this, various improvements and challenges need to be addressed. This paper presents a critical and timely review of the challenges and future direction of biorefineries as an alternative carbon–neutral energy source. © 2022 Elsevier Ltd

关键词： Fossil fuels

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Mechanical and Dynamic Properties of Banana Fiber-Reinforced Polyester Composites: A Multi-Analytical Characterization Study

Engineering Reports

引用

engineering Reports 2025年第6期7卷

作者： G. Sathish Kumar R. Sridhar A. Parthiban S. Sivabalan T. Sathish Jayant Giri J. Isaac Joshua Ramesh Lalvani Ahmad O. Hourani Nidhal Becheikh Boutheyna Belhaj Bettaieb Department of Mechanical Engineering Vels Institute of Science Technology & Advanced Studies Chennai India Department of Mechanical Engineering Saveetha School of Engineering SIMATS Chennai Tamil Nadu India Department of Mechanical Engineering Yeshwantrao Chavan College of Engineering Nagpur Maharashtra India Division of Research and Development Lovely Professional University Phagwara Punjab India Faculty of Mechanical Engineering Arba Minch Institute of Technology Arba Minch University Arba Minch Ethiopia Hourani Center for Applied Scientific Research Al-Ahliyya Amman University Amman Jordan Mining Research Center Northern Border University Arar Saudi Arabia Engineering School (ENIG) RL Processes Energetic Environment and Electric Systems (PEESE) University of Gabes Gabes Tunisia

The principal objective of this investigation is to assess the damping properties of polyester composites reinforced with short banana fibers. The analysis includes evaluating mechanical characteristics, conducting free vibration examinations, measuring damping efficiency (tan δ), and utilizing Scanning Electron Microscopy (SEM). A comprehensive examination assesses Tensile Strength, Flexural Strength, Impact Strength, Hardness, free vibration attributes, damping coefficients, and SEM imagery from the fractured tensile sample surface. The composite samples are fabricated using a hand layup procedure with randomly arranged 10 mm-long fibers. Banana fiber content varies at 5, 10, 15, and 20 wt.%. Experimental results demonstrate a direct relationship between fiber quantity and improvements in Tensile Strength, Flexural Strength, Impact Strength, Hardness, Natural Frequency, and Damping ratio. Composites containing 15 wt.% banana fibers show the most significant improvements across various temperature and frequency ranges. Simultaneously, the presence of fibers reduces peak values in the damping curves (tan δ). The most notable improvement occurs in composites with 15 wt.% banana fibers, exhibiting characteristics similar to 100% polyester. This empirical study identifies a clear association between increasing fiber content and enhanced natural frequency and damping properties of the composite material.

关键词： damping factor (tan δ) and SEM mechanical properties natural fiber polyester resin

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Retraction notice to “Intelligent-based ensemble deep learning model for security improvement in real-time wireless communication” [Optik 271 (2022) 170123]

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Optik 2025年 334卷

作者： S. Zhen R. Surender Gaurav Dhiman K. Radha Rani K.M. Ashifa Faheem Ahmad Reegu Independent Researcher China Department of Electronics & Communication Engineering SRM Institute of Science and Technology Ramapuram Campus Chennai India University Centre for Research and Development Department of Computer Science and Engineering Chandigarh University Gharuan Mohali 140413 India Department of Computer Science and Engineering Graphic Era Deemed to be University Dehradun 248002 India Department of Electrical and Computer Engineering Lebanese American University Byblos Lebanon Department of EEE R.V. R & J.C. College of Engineering Chowdavaram Guntur Andhra Pradesh 522019 India Faculty of Economics Administrative and Social Sciences Istanbul Nisantasi University Turkey College of Computer Science and Information Technology Jazan University 45142 Saudi Arabia

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Machine learning for improved current-density reconstruction from two-dimensional vector magnetic images

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Physical Review Applied 2025年第3期23卷 034035-034035页

作者： Niko R. Reed Danyal Bhutto Matthew J. Turner Declan M. Daly Sean M. Oliver Jiashen Tang Kevin S. Olsson Nicholas Langellier Mark J.H. Ku Department of Physics University of Maryland College Park Maryland USA Quantum Technology Center University of Maryland College Park Maryland USA Joint Quantum Institute University of Maryland College Park Maryland USA Department of Biomedical Engineering Boston University Boston Massachusetts USA A. A. Martinos Center for Biomedical Imaging Massachusetts General Hospital Charlestown Massachusetts USA Department of Electrical and Computer Engineering University of Maryland College Park Maryland USA The MITRE Corporation McLean Virginia 22102 USA Intelligence Community Postdoctoral Research Fellowship Program University of Maryland College Park Maryland 20742 USA Department of Physics Harvard University Cambridge Massachusetts USA Present address: VideaHealth Inc. Boston MA. Department of Materials Science and Engineering University of Delaware Newark Delaware 19716 USA Department of Physics and Astronomy University of Delaware Newark Delaware 19716 USA Present address: Northrop Grumman Mission Systems Linthicum Maryland 21090 USA.

The reconstruction of electrical current densities from magnetic field measurements is an important technique with applications in materials science, circuit design, quality control, plasma physics, and biology. Analytic reconstruction methods exist for planar currents, but break down in the presence of high-spatial-frequency noise or large standoff distance, restricting the types of systems that can be studied. Here, we demonstrate the use of a deep convolutional neural network for current density reconstruction from two-dimensional images of vector magnetic fields acquired by a quantum diamond microscope . Trained network performance significantly exceeds analytic reconstruction for data with high noise or large standoff distances. This machine learning technique can perform quality inversions on lower-signal-to-noise-ratio data, significantly reducing the data collection time and permitting reconstructions of weaker and three-dimensional current sources.

关键词： Signal to noise ratio

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Status of the operations of CALET for 7.5 years on the International Space Station 38

Status of the operations of CALET for 7.5 years on the Inter...

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38th International Cosmic Ray Conference, ICRC 2023

作者： Tamura, T. Akaike, Y. Kobayashi, K. Adriani, O. Asano, K. Asaoka, Y. Berti, E. Bigongiari, G. Binns, W.R. Bongi, M. Brogi, P. Bruno, A. Cannady, N. Castellini, G. Checchia, C. Cherry, M.L. Collazuol, G. de Nolfo, G.A. Ebisawa, K. Ficklin, A.W. Fuke, H. Gonzi, S. Guzik, T.G. Hams, T. Hibino, K. Ichimura, M. Ioka, K. Ishizaki, W. Israel, M.H. Kasahara, K. Kataoka, J. Kataoka, R. Katayose, Y. Kato, C. Kawanaka, N. Kawakubo, Y. Kohri, K. Krawczynski, H.S. Krizmanic, J.F. Maestro, P. Marrocchesi, P.S. Messineo, A.M. Mitchell, J.W. Miyake, S. Moiseev, A.A. Mori, M. Mori, N. Motz, H.M. Munakata, K. Nakahira, S. Nishimura, J. Okuno, S. Ormes, J.F. Ozawa, S. Pacini, L. Papini, P. Rauch, B.F. Ricciarini, S.B. Sakai, K. Sakamoto, T. Sasaki, M. Shimizu, Y. Shiomi, A. Spillantini, P. Stolzi, F. Sugita, S. Sulaj, A. Takita, M. Tamura, T. Terasawa, T. Torii, S. Tsunesada, Y. Uchihori, Y. Vannuccini, E. Wefel, J.P. Yamaoka, K. Yanagita, S. Yoshida, A. Yoshida, K. Zober, W.V. Kanagawa University Faculty of Engineering Department of Applied Physics 3-27-1 Rokkakubashi Kanagawa-ku Yokohama Japan Department of Physics University of Florence Via Sansone 1 Sesto Fiorentino50019 Italy INFN Sezione di Firenze Via Sansone 1 Sesto Fiorentino50019 Italy Waseda Research Institute for Science and Engineering Waseda University 17 Kikuicho Shinjuku Tokyo162-0044 Japan JEM Utilization Center Human Spaceflight Technology Directorate Japan Aerospace Exploration Agency 2-1-1 Sengen Ibaraki Tsukuba305-8505 Japan Institute for Cosmic Ray Research The University of Tokyo 5-1-5 Kashiwa-no-Ha Kashiwa Chiba277-8582 Japan Via Madonna del Piano 10 Sesto Fiorentino50019 Italy Department of Physical Sciences Earth and Environment University of Siena via Roma 56 Siena53100 Italy INFN Sezione di Pisa Polo Fibonacci Largo B. Pontecorvo 3 Pisa56127 Italy Department of Physics McDonnell Center for the Space Sciences Washington University One Brookings Drive St. LouisMO63130-4899 United States Heliospheric Physics Laboratory NASA GSFC GreenbeltMD20771 United States Center for Space Sciences and Technology University of Maryland Baltimore County 1000 Hilltop Circle BaltimoreMD21250 United States Astroparticle Physics Laboratory NASA GSFC GreenbeltMD20771 United States Center for Research and Exploration in Space Sciences and Technology NASA GSFC GreenbeltMD20771 United States Department of Physics and Astronomy Louisiana State University 202 Nicholson Hall Baton RougeLA70803 United States Department of Physics and Astronomy University of Padova Via Marzolo 8 Padova35131 Italy INFN Sezione di Padova Via Marzolo 8 Padova35131 Italy Institute of Space and Astronautical Science Japan Aerospace Exploration Agency 3-1-1 Yoshinodai Chuo Kanagawa Sagamihara252-5210 Japan Kanagawa University 3-27-1 Rokkakubashi Kanagawa Kanagawa Yokohama221-8686 Japan Faculty of Science and Technology Graduate School of Science a

The CALorimetric Electron Telescope (CALET) has successfully been carrying out cosmic-ray observations on the International Space Station since October, 2015. CALET directly measures the cosmic-ray electron spectrum in the energy range of 1 GeV to 20 TeV with a 2 % energy resolution above 30 GeV. In addition, the instrument can measure the spectrum of gamma rays well into the TeV range, and the spectra of protons and nuclei up to a PeV. The scientific operations are implemented by taking into account orbital variations of geomagnetic rigidity cutoff. Scheduled command sequences are used to control the CALET observation modes on orbit. The high-energy (>10 GeV) trigger mode is always active for maintaining maximum exposure to high-energy electrons and other high-energy shower events. Also, around the ISS orbit, calibration data acquisition by, for example, recording pedestal and penetrating particle events, a low-energy electron trigger mode operating at high geomagnetic latitude, a low-energy gamma-ray trigger mode operating at low geomagnetic latitude, and an ultra-heavy trigger mode, are scheduled. As of June 30, 2023, the total observation time is 2818 days with a live time fraction of the total time around 86 %. Nearly 1.86 billion events are collected with the high-energy trigger. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Cosmology

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