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14th International Conference on Synchrotron Radiation Instrumentation, SRI 2021

作者： Voegeli, Wolfgang Liang, Xiaoyu Shirasawa, Tetsuroh Arakawa, Etsuo Hyodo, Kazuyuki Kudo, Hiroyuki Yashiro, Wataru Department of Physics Tokyo Gakugei University 4-1-1 Nukuikita-Machi Tokyo184-8501 Japan Tohoku University 2-1-1 Katahira Aoba-ku Sendai Miyagi980-8577 Japan National Metrology Institute of Japan National Institute of Advanced Industrial Science and Technology 5-2-2107 1-1-1 Higashi Tsukuba Ibaraki305-8565 Japan Photon Factory Institute of Materials Structure Science KEK 1-1 Oho Tsukuba Ibaraki305-0801 Japan Faculty of Engineering Information and Systems University of Tsukuba Tsukuba305-8573 Japan Tohoku University 2-1-1 Katahira Aoba-ku Sendai Miyagi980-8577 Japan Department of Applied Physics School of Engineering The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-8656 Japan

A multi-beam X-ray optics that can image a sample from different directions in a large angular range simultaneously without sample rotation is reported. It consists of 28 thin silicon crystals that are arranged in a σ-polarization diffraction geometry so that the diffracted X-rays from an incident white synchrotron radiation beam pass through the sample. A tomogram of a simple test sample was calculated from projection images recorded with the optics, showing that an alignment accuracy sufficient for X-ray tomography can be achieved. © Published under licence by IOP Publishing Ltd.

关键词： Polarization

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Depth-Map-Based Augmented Reality Holographic Stereogram: Method and Verification

SSRN

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SSRN 2022年

作者： Liu, Yunpeng Jing, Tao Lei, Ming Hu, Hairong Chen, Zhuo Lin, Min Li, Pei Jiang, Xiaoyu Yan, Xingpeng Department of Information Communication Army Academy of Armored Forces Beijing100072 China China Defense Science and Technology Information Center Beijing100037 China Department of Basic Education Army Academy of Armored Forces Beijing100072 China R & D Center for Intelligent Control and Advanced Manufacturing Research Institute of Tsinghua University in Shen Zhen Shen Zhen518057 China Department of Artificial Intelligence College of Information Systems Engineering Strategic Support Force Information Engineering University Zhengzhou450001 China

In this paper, a perspective image fusion algorithm of real-world and artificial scenes based on depth maps is proposed and applied to holographic printing to realize augmented reality display of holographic stereograms. The basic principle of the fusion algorithm is introduced, and the perspective image fusion with correct occlusion relation is implemented theoretically. Under the condition of sampling only once, an image generation algorithm with adjustable depth of artificial scenes is proposed and implemented. We use effective perspective image segmentation and mosaicking method for optical experiments, and verify the effectiveness of the proposed method. © 2022, The Authors. All rights reserved.

关键词： Three dimensional displays

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Learning Dictionaries from Physical-Based Interpolation for Water Network Leak Localization

arXiv

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arXiv 2023年

作者： Irofti, Paul Romero-Ben, Luis Stoican, Florin Puig, Vicenç Department of Computer Science Faculty of Mathematics and Computer Science University of Bucharest 010014 Romania The Institute for Logic and Data Science Popa Tatu 18 Bucharest010805 Romania The Institut de Robòtica i Informàtica Industrial CSIC-UPC Llorens i Artigas 4-6 Barcelona08028 Spain The Universitat Politècnica de Catalunya Campus de Terrassa Gaia Building Rambla Sant Nebridi 22 Terrassa Barcelona08222 Spain The Deptartment of Automation Control and Systems Engineering Politehnica University of Bucharest 060042 Romania

This article presents a leak localization methodology based on state estimation and learning. The first is handled by an interpolation scheme, whereas dictionary learning is considered for the second stage. The novel proposed interpolation technique exploits the physics of the interconnections between hydraulic heads of neighboring nodes in water distribution networks. Additionally, residuals are directly interpolated instead of hydraulic head values. The results of applying the proposed method to a well-known case study (Modena) demonstrated the improvements of the new interpolation method with respect to a state-of-the-art approach, both in terms of interpolation error (considering state and residual estimation) and posterior localization. Copyright © 2023, The Authors. All rights reserved.

关键词： Interpolation

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Black phosphorus-based van der Waals heterostructures for mid-infrared light-emission applications

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Light(science & Applications) 2020年第1期9卷 922-929页

作者： Xinrong Zong Huamin Hu Gang Ouyang Jingwei Wang Run Shi Le Zhang Qingsheng Zeng Chao Zhu Shouheng Chen Chun Cheng Bing Wang Han Zhang Zheng Liu Wei Huang Taihong Wang Lin Wang Xiaolong Chen Department of Electrical and Electronic Engineering Southern University of Science and Technology518055 ShenzhenChina Key Laboratory of Flexible Electronics(KLOFE)&Institute of Advanced Materials(IAM) Jiangsu National Synergetic Innovation Center for Advanced Materials(SICAM)Nanjing Tech University(Nanjing Tech)30 South Puzhu Road211816 NanjingChina Key Laboratory of Low-Dimensional Quantum Structures and Quantum Control of Ministry of Education and Key Laboratory for Matter Microstructure and Function of Hunan ProvinceHunan Normal University410081 ChangshaChina Department of Materials Science and Engineering Southern University of Science and Technology518055 ShenzhenChina Center for Programmable Materials School of Materials Science and Engineering Nanyang Technological University Singapore 639798Singapore Institute of Microscale Optoelectronics Collaborative Innovation Centre for Optoelectronic Science&TechnologyKey Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong ProvinceCollege of Physics and Optoelectronic EngineeringShenzhen Key Laboratory of Micro-Nano Photonic Information TechnologyGuangdong Laboratory of Artificial Intelligence and Digital Economy(SZ)Shenzhen University518060 ShenzhenChina Frontiers Science Center for Flexible Electronics(FSCFE) Shaanxi Institute of Flexible Electronics(SIFE)&Shaanxi Institute of Biomedical Materials and Engineering(SIBME)Northwestern Polytechnical University(NPU)127 West Youyi Road710072 Xi’anChina

Mid-infrared(MIR)light-emitting devices play a key role in optical communications,thermal imaging,and material analysis ***-dimensional(2D)materials offer a promising direction for next-generation MIR devices owing to their exotic optical properties,as well as the ultimate thickness *** importantly,van der Waals heterostructures-combining the best of various 2D materials at an artificial atomic level-provide many new possibilities for constructing MIR light-emitting devices of large tuneability and high ***,we introduce a simple but novel van der Waals heterostructure for MIR light-emission applications built from thin-film BP and transition metal dichalcogenides(TMDCs),in which BP acts as an MIR light-emission *** BP–WSe_(2) heterostructures,an enhancement of~200% in the photoluminescence intensities in the MIR region is observed,demonstrating highly efficient energy transfer in this heterostructure with type-Ⅰ band *** BP-MoS_(2) heterostructures,a room temperature MIR light-emitting diode(LED)is enabled through the formation of a vertical PN heterojunction at the *** work reveals that the BP-TMDC heterostructure with efficient light emission in the MIR range,either optically or electrically activated,provides a promising platform for infrared light property studies and applications.

关键词： light phosphorus constructing

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Utility coupling promotes cooperation in multiplayer snowdrift games on interdependent simplicial networks

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The European Physical Journal Special Topics 2023年第4期233卷 831-842页

作者： Wang, Juan Guo, Shiqiang Xia, Chengyi Perc, Matjaž Tianjin Key Laboratory for Control Theory and Complicated Industry Systems Tianjin University of Technology Tianjin People’s Republic of China School of Electrical Engineering and Automation Tianjin University of Technology Tianjin People’s Republic of China School of Artificial Intelligence Tiangong University Tianjin People’s Republic of China Faculty of Natural Sciences and Mathematics University of Maribor Maribor Slovenia Alma Mater Europaea Maribor Slovenia Complexity Science Hub Vienna Vienna Austria Department of Physics Kyung Hee University Seoul Republic of Korea

Real-world social networks often contain not only one-to-one pairwise interactions, but also multi-person group interactions involving more than two individuals. To reveal the important role of such group interactions (i.e., higher order topology) for the evolution of cooperation, we here use interdependent simplicial network topologies, where the evolutionary interactions, governed by the snowdrift game, are thus explored beyond pairwise links. We also consider utility coupling between two network layers in an uncorrelated interdependence. Systematic Monte Carlo simulations lead us to two main conclusions. First, we find that the level of cooperation can be elevated by increasing the utility coupling value. And second, cooperation tends to decline when we increase the number of 2-simplex interactions. However, despite the later result, the overall cooperation level on both interdependent networks is still higher than that on any isolated network. We hope that these results will inspire future research on cooperation among unrelated individuals in higher order networks.

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Specification description and verification of multitask hybrid systems in the OTS/CafeOBJ method

arXiv

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arXiv 2020年

作者： Nakamura, Masaki Sakakibara, Kazutoshi Ogata, Kazuhiro Department of Information Systems Engineering Faculty of Engineering Toyama Prefectural University Toyama Japan Japan Advanced Institute of Science and Technology Ishikawa Japan

To develop IoT and/or CSP systems, we need consider both continuous data from physical world and discrete data in computer systems. Such a system is called a hybrid system. Because of density of continuous data, it is not easy to do software testing to ensure reliability of hybrid systems. Moreover, the size of the state space increases exponentially for multitask systems. Formal descriptions of hybrid systems may help us to verify desired properties of a given system formally with computer supports. In this paper, we propose a way to describe a formal specification of a given multitask hybrid system as an observational transition system in CafeOBJ algebraic specification language and verify it by the proof score method based on equational reasoning implemented in CafeOBJ interpreter. Copyright © 2020, The Authors. All rights reserved.

关键词： Hybrid systems

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Telescope Array Surface Detector Energy and Arrival Direction Estimation Using Deep Learning 37

Telescope Array Surface Detector Energy and Arrival Directio...

引用

37th International Cosmic Ray Conference, ICRC 2021

作者： Kalashev, O.E. Ivanov, D. Kuznetsov, M.Yu. Rubtsov, G.I. Sako, T. Tsunesada, Y. Zhezher, Y.V. Abbasi, R.U. Abe, M. Abu-Zayyad, T. Allen, M. Arai, Y. Barcikowski, E. Belz, J.W. Bergman, D.R. Blake, S.A. Buckland, I. Cady, R. Cheon, B.G. Chiba, J. Chikawa, M. Fujii, T. Fujisue, K. Fujita, K. Fujiwara, R. Fukushima, M. Fukushima, R. Furlich, G. Gonzalez, R. Hanlon, W. Hayashi, M. Hayashida, N. Hibino, K. Higuchi, R. Honda, K. Ikeda, D. Inadomi, T. Inoue, N. Ishii, T. Ito, H. Ivanov, D. Iwakura, H. Jeong, H.M. Jeong, S. Jui, C.C.H. Kadota, K. Kakimoto, F. Kalashev, O. Kasahara, K. Kasami, S. Kawai, H. Kawakami, S. Kawana, S. Kawata, K. Kido, E. Kim, H.B. Kim, J.H. Kim, J.H. Kim, M.H. Kim, S.W. Kimura, Y. Kishigami, S. Kubota, Y. Kurisu, S. Kuzmin, V. Kuznetsov, M. Kwon, Y.J. Lee, K.H. Lubsandorzhiev, B. Lundquist, J.P. Machida, K. Matsumiya, H. Matsuyama, T. Matthews, J.N. Mayta, R. Minamino, M. Mukai, K. Myers, I. Nagataki, S. Nakai, K. Nakamura, R. Nakamura, T. Nakamura, T. Nakamura, Y. Nakazawa, A. Nonaka, T. Oda, H. Ogio, S. Ohnishi, M. Ohoka, H. Oku, Y. Okuda, T. Omura, Y. Ono, M. Onogi, R. Oshima, A. Ozawa, S. Park, I.H. Potts, M. Pshirkov, M.S. Remington, J. Rodriguez, D.C. Rubtsov, G.I. Ryu, D. Sagawa, H. Sahara, R. Saito, Y. Sakaki, N. Sako, T. Sakurai, N. Sano, K. Sato, K. Seki, T. Sekino, K. Shah, P.D. Shibasaki, Y. Shibata, F. Shibata, N. Shibata, T. Shimodaira, H. Shin, B.K. Shin, H.S. Shinto, D. Smith, J.D. Sokolsky, P. Sone, N. Stokes, B.T. Stroman, T.A. Suzawa, T. Takagi, Y. Takahashi, Y. Takamura, M. Takeda, M. Takeishi, R. Taketa, A. Takita, M. Tameda, Y. Tanaka, H. Tanaka, K. Tanaka, M. Tanoue, Y. Thomas, S.B. Thomson, G.B. Tinyakov, P. Tkachev, I. Tokuno, H. Tomida, T. Troitsky, S. Tsuda, R. Uchihori, Y. Udo, S. Uehama, T. Urban, F. Wong, T. Yada, K. Yamamoto, M. Yamazaki, K. Yang, J. Yashiro, K. Yoshida, F. Yoshioka, Y. Zhezher, Y. Zundel, Z. Institute for Nuclear Research of the Russian Academy of Sciences Moscow117312 Russia Moscow Institute for Physics and Technology 9 Institutskiy per. Moscow Region Dolgoprudny141701 Russia Novosibirsk State University Pirogova 2 Novosibirsk630090 Russia High Energy Astrophysics Institute Department of Physics and Astronomy University of Utah Salt Lake CityUT84112-0830 United States Service de Physique Théorique Université Libre de Bruxelles Boulevard du Triomphe CP225 Brussels1050 Belgium Institute for Cosmic Ray Research University of Tokyo Chiba Kashiwa277-8582 Japan Graduate School of Science Osaka City University Osaka Osaka558-0022 Japan Nambu Yoichiro Institute of Theoretical and Experimental Physics Osaka City University Osaka Osaka558-8585 Japan Department of Physics Loyola University Chicago ChicagoIL United States The Graduate School of Science and Engineering Saitama University Saitama Saitama Japan High Energy Astrophysics Institute Department of Physics and Astronomy University of Utah Salt Lake CityUT United States Graduate School of Science Osaka City University Osaka Osaka Japan Department of Physics The Research Institute of Natural Science Hanyang University Seongdong-gu Seoul Korea Republic of Department of Physics Tokyo University of Science Chiba Noda Japan Institute for Cosmic Ray Research University of Tokyo Chiba Kashiwa Japan The Hakubi Center for Advanced Research Graduate School of Science Kyoto University Kitashirakawa-Oiwakecho Sakyo-ku Kyoto Japan Todai Institutes for Advanced Study University of Tokyo Chiba Kashiwa Japan Information Engineering Graduate School of Science and Technology Shinshu University Nagano Nagano Japan Faculty of Engineering Kanagawa University Kanagawa Yokohama Japan Interdisciplinary Graduate School of Medicine and Engineering University of Yamanashi Yamanashi Kofu Japan Academic Assembly School of Science and Technology Institute of Engineering Shinshu University

A novel ultra-high-energy cosmic rays energy and arrival direction reconstruction method for Telescope Array surface detector is presented. The analysis is based on a deep convolutional neural network using detector signal time series as the input and the network is trained on a large Monte-Carlo dataset. This method is compared in terms of statistical and systematic energy and arrival direction determination errors with the standard Telescope Array surface detector event reconstruction procedure. © Copyright owned by the author(s).

关键词： Deep neural networks

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Network model for magnetic higher-order topological phases

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Physical Review Research 2024年第4期6卷 043167-043167页

作者： Hui Liu Ali G. Moghaddam Daniel Varjas Ion Cosma Fulga IFW Dresden and Würzburg-Dresden Cluster of Excellence ct.qmat Helmholtzstrasse 20 01069 Dresden Germany Department of Physics Stockholm University AlbaNova University Center 106 91 Stockholm Sweden Department of Physics Institute for Advanced Studies in Basic Sciences (IASBS) Zanjan 45137-66731 Iran Research Center for Basic Sciences & Modern Technologies (RBST) Institute for Advanced Studies in Basic Science (IASBS) Zanjan 45137-66731 Iran Computational Physics Laboratory Physics Unit Faculty of Engineering and Natural Sciences Tampere University FI-33014 Tampere Finland Max Planck Institute for the Physics of Complex Systems Nöthnitzer Strasse 38 01187 Dresden Germany Department of Theoretical Physics Institute of Physics Budapest University of Technology and Economics Műegyetem rkp. 3. H-1111 Budapest Hungary

We propose a network-model realization of magnetic higher-order topological phases (HOTPs) in the presence of the combined space-time symmetry C4T—the product of a fourfold rotation and time-reversal symmetry. We show that the system possesses two types of HOTPs. The first type, analogous to Floquet topology, generates a total of eight corner modes at 0 or π eigenphase, while the second type, hidden behind a weak topological phase, yields a unique phase with eight corner modes at ±π/2 eigenphase (after gapping out the counterpropagating edge states), arising from the product of particle-hole and phase-rotation symmetry. By using a bulk Z4 topological index (Q), we found both HOTPs have Q=2, whereas Q=0 for the trivial and the conventional weak topological phase. Together with a Z2 topological index associated with the reflection matrix, we are able to fully distinguish all phases. Our work motivates further studies on magnetic topological phases and symmetry-protected 2π/n boundary modes, as well as suggesting that such phases may find their experimental realization in coupled-ring-resonator networks.

关键词： Phononic crystals Topological phases of matter Floquet systems Network Models

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NTIRE 2023 Quality Assessment of Video Enhancement Challenge

NTIRE 2023 Quality Assessment of Video Enhancement Challenge

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2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2023

作者： Liu, Xiaohong Min, Xiongkuo Sun, Wei Zhang, Yulun Zhang, Kai Timofte, Radu Zhai, Guangtao Gao, Yixuan Cao, Yuqin Kou, Tengchuan Dong, Yunlong Jia, Ziheng Li, Yilin Wu, Wei Hu, Shuming Deng, Sibin Xiao, Pengxiang Chen, Ying Li, Kai Zhao, Kai Yuan, Kun Sun, Ming Cong, Heng Wang, Hao Fu, Lingzhi Zhang, Yusheng Zhang, Rongyu Shi, Hang Xu, Qihang Xiao, Longan Ma, Zhiliang Agarla, Mirko Celona, Luigi Rota, Claudio Schettini, Raimondo Huang, Zhiwei Li, Ya'nan Wang, Xiaotao Lei, Lei Liu, Hongye Hong, Wei Chuang, Ironhead Lin, Allen Guan, Drake Chen, Iris Lou, Kae Huang, Willy Tasi, Yachun Kao, Yvonne Fan, Haotian Kong, Fangyuan Zhou, Shiqi Liu, Hao Lai, Yu Chen, Shanshan Wang, Wenqi Wu, Haoning Chen, Chaofeng Zhu, Chunzheng Guo, Zekun Zhao, Shiling Yin, Haibing Wang, Hongkui Meftah, Hanene Brachemi Fezza, Sid Ahmed Hamidouche, Wassim Déforges, Olivier Shi, Tengfei Mansouri, Azadeh Motamednia, Hossein Bakhtiari, Amir Hossein Aznaveh, Ahmad Mahmoudi Shanghai Jiao Tong University China Eth Zürich Switzerland University of Würzburg Germany Department of Tao Technology Alibaba Group China Kuaishou Technology China Interactive Entertainment Group of Netease Inc Guangzhou China Transsion China Hefei University of Technology China Department of Informatics Systems and Communication University of Milano - Bicocca Italy Xiaomi Inc. China China Ji Liang University China FreeTech Advanced Research Center KKCompany Taiwan ByteDance China Mgtv China Fuzhou University China Shopee Information Technology Co. Ltd. S-Lab Nanyang Technological University Singapore Hunan University China Hangzhou Dianzi University China Insa Rennes Cnrs Ietr - Umr 6164 Rennes France National Higher School of Telecommunications and Ict Oran Algeria Buaa Department of Electrical and Computer Engineering Faculty of Engineering Kharazmi University Tehran Iran High Performance Computing Laboratory School of Computer Science Institute for Research in Fundamental Sciences Tehran Iran Cyberspace Research Institute Shahid Beheshti University Tehran Iran

ISBN: (纸本)9798350302493

This paper reports on the NTIRE 2023 Quality Assessment of Video Enhancement Challenge, which will be held in conjunction with the New Trends in Image Restoration and Enhancement Workshop (NTIRE) at CVPR 2023. This challenge is to address a major challenge in the field of video processing, namely, video quality assessment (VQA) for enhanced videos. The challenge uses the VQA Dataset for Perceptual Video Enhancement (VDPVE), which has a total of 1211 enhanced videos, including 600 videos with color, brightness, and contrast enhancements, 310 videos with deblurring, and 301 deshaked videos. The challenge has a total of 167 registered participants. 61 participating teams submitted their prediction results during the development phase, with a total of 3168 submissions. A total of 176 submissions were submitted by 37 participating teams during the final testing phase. Finally, 19 participating teams submitted their models and fact sheets, and detailed the methods they used. Some methods have achieved better results than baseline methods, and the winning methods have demonstrated superior prediction performance. © 2023 IEEE.

关键词： Image enhancement

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Artificial intelligence performance evaluation for URLLC of industrial IoT applications: A review, open challenges and future directions

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Physical Communication 2025年 72卷

作者： Abdinasir Hirsi Lukman Audah Adeb Salh Mohammed Alhartomi Zhili Sun Ahmed Hammoodi Salman Ahmed Advanced Telecommunication Research Center (ATRC) Faculty of Electrical and Electronic Engineering Universiti Tun Hussein Onn Malaysia Malaysia Faculty of Engineering Jamhuriya University of Science and Technology Mogadishu Somalia Faculty of Engineering Technology Universiti Tun Hussein Onn Malaysia Parit Raja Malaysia Faculty of Information and Communication Technology University Tunku Abdul Rahman (UTAR) Kampar 31900 Malaysia Department of Electrical Engineering University of Tabuk Tabuk 71491 Saudi Arabia Institute of Communication Systems (ICS) School of Computer Science and Electronic Engineering Faculty of Physical Science and Engineering University of Surrey UK Renewable Energy Research Centre Department University of Anbar Ramadi Iraq VLSI and Embedded Technology (VEST) Focus Group Faculty of Electrical and Electronic Engineering Universiti Tun Hussein Onn Malaysia Malaysia

The integration of fifth-generation/sixth-generation (5G/6G) ultra-reliable low-latency communication (URLLC) with industrial Internet of Things (IIoT) applications is revolutionizing Industry 4.0, and enhancing IIoT performance through artificial intelligence (AI) simulations. The critical need for low latency and high reliability in IIoT devices can be effectively addressed by leveraging AI techniques, optimizing data processing, and making decisions in real time. Traditional methods achieve some level of efficiency and safety, but AI offers significant improvements in decision-making, safety, quality prediction, and employee adoption. Integrating AI into IIoT applications enhances industrial workflows, while presenting opportunities and challenges. Machine learning (ML) and deep learning (DL) algorithms enable industrial applications to operate efficiently and intelligently. This paper outlines the requirements for reliable and low-latency communication links between IIoT devices and primary research areas where AI algorithms can be employed, such as fault diagnosis, intelligent anomaly detection, edge computing, network performance, and intrusion detection systems in IIoT applications. Special attention is paid to the role of AI techniques in enhancing IIoT system performance and efficiency, highlighting its advantages, applications, and challenges. The current state-of-the-art challenges and future directions of AI in IIoTs are discussed, providing insights for further research. Potential areas for further research include developing new techniques, integrating 5G/6G technologies, autonomous decision-making, self-optimization, addressing mission-critical applications, and shifting AI processing to the edge. This comprehensive review will benefit academics, researchers, professionals in AI and IIoT, and industries seeking to leverage AI technologies to enhance IIoT performance and efficiency.

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