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A lightweight edge computing platform designed on embeded system

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A lightweight edge computing platform designed on embeded sy...

2019 IEEE International Conference on Signal, information and Data Processing, ICSIDP 2019

作者： Lin, Qin Pan, Ling Jia, Mingquan Liu, Hongwei Wu, Mingqin Zhang, Hao Zhong, Yu Key Laboratory of Agile Intelligent Computing 10th Research Institute of China Electronics Technology Group Corporation Chengdu China

ISBN: (纸本)9781728123455

Edge computing platform is a critical component to form next-generation intelligent equipment. In an effort to support new military and industrial applications with more flexible computing power, a new lightweight edge computing platform is introduced in this paper. This platform is fully based on embedded hardware, such as ARM, DSP and FPGA. Platform's management and scheduling architecture is developed using Go language to minimize code size and dependence on three-party libraries. In addition, the management and scheduling commands transmit across the platform over the Ethernet, while data transmit among computing nodes via the RapidIO network to isolate the commands and data channels. An experimental letter count application was performed to validate the feasibility of the platform and also supply optimization hint with a data throughput test. This work has the potential to reduce developer's experience in parallel and distributed systems, and then the cost and time in development of embedded intelligent equipment. © 2019 IEEE.

关键词： Edge computing

Customized Conversational Recommender Systems

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arXiv 2022年

作者： Li, Shuokai Zhu, Yongchun Xie, Ruobing Tang, Zhenwei Zhang, Zhao Zhuang, Fuzhen He, Qing Xiong, Hui Institute of Computing Technology Chinese Academy of Sciences Beijing100190 China University of Chinese Academy of Sciences Beijing100049 China WeChat Search Application Department Tencent China King Abdullah University of Science and Technology Thuwal Saudi Arabia Institute of Artificial Intelligence Beihang University Beijing100191 China Sklsde School of Computer Science Beihang University Beijing100191 China Artificial Intelligence Thrust The Hong Kong University of Science and Technology Guangzhou China The Key Lab of Intelligent Information Processing of Chinese Academy of Sciences China

Conversational recommender systems (CRS) aim to capture user's current intentions and provide recommendations through real-time multi-turn conversational interactions. As a human-machine interactive system, it is essential for CRS to improve the user experience. However, most CRS methods neglect the importance of user experience. In this paper, we propose two key points for CRS to improve the user experience: (1) Speaking like a human, human can speak with different styles according to the current dialogue context. (2) Identifying fine-grained intentions, even for the same utterance, different users have diverse finegrained intentions, which are related to users' inherent preference. Based on the observations, we propose a novel CRS model, coined Customized Conversational Recommender System (CCRS), which customizes CRS model for users from three perspectives. For human-like dialogue services, we propose multi-style dialogue response generator which selects context-aware speaking style for utterance generation. To provide personalized recommendations, we extract user's current fine-grained intentions from dialogue context with the guidance of user's inherent preferences. Finally, to customize the model parameters for each user, we train the model from the meta-learning perspective. Extensive experiments and a series of analyses have shown the superiority of our CCRS on both the recommendation and dialogue service. © 2022, CC BY-SA.

关键词： Recommender systems

A Novel RFID Authentication Protocol Based on A Block-Order-Modulus Variable Matrix Encryption Algorithm

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arXiv 2023年

作者： Wang, Yan Liu, Ruiqi Gao, Tong Shu, Feng Lei, Xuemei Wu, Yongpeng Gui, Guan Wang, Jiangzhou School of Information and Communication Engineering Hainan University Haikou570228 China Wireless and Computing Research Institute ZTE Corporation Beijing100029 China College of Electronic Science and Engineering Jilin University Changchun130012 China School of Information and Communication Engineering and Collaborative Innovation Center of Information Technology Hainan University Haikou570228 China School of Electronic and Optical Engineering Nanjing University of Science and Technology Nanjing210094 China College of Electronic Information Engineering Inner Mongolia University Hohhot010021 China Shanghai Key Laboratory of Navigation and Location Based Services Shanghai Jiao Tong University Minhang Shanghai200240 China College of Telecommunications and Information Engineering Nanjing University of Posts and Telecommunications Nanjing210003 China School of Engineering University of Kent CanterburyCT2 7NT United Kingdom

In this paper, authentication for mobile radio frequency identification (RFID) systems with low-cost tags is studied. Firstly, an adaptive modulus (AM) encryption algorithm is proposed. Subsequently, in order to enhance the security without additional storage of new key matrices, a self-updating encryption order (SUEO) algorithm is designed. Furthermore, a diagonal block local transpose key matrix (DBLTKM) encryption algorithm is presented, which effectively expands the feasible domain of the key space. Based on the above three algorithms, a novel joint AM-SUEO-DBLTKM encryption algorithm is constructed. Making full use of the advantages of the proposed joint algorithm, a two-way RFID authentication protocol, named AM-SUEO-DBLTKM-RFID, is proposed for mobile RFID systems. In addition, the Burrows-Abadi-Needham (BAN) logic and security analysis indicate that the proposed AM-SUEO-DBLTKM-RFID protocol can effectively combat various typical attacks. Numerical results demonstrate that the proposed AM-SUEO-DBLTKM algorithm can save 99.59% of tag storage over traditional algorithms. Finally, the low computational complexity as well as the low storage cost of the proposed AM-SUEO-DBLTKM-RFID protocol facilitates deployment within low-cost RFID tags. Copyright © 2023, The Authors. All rights reserved.

关键词： Authentication

Measurement of Very-High-Energy Diffuse Gamma-Ray Emissions from the Galactic Plane with LHAASO-WCDA

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Physical Review Letters 2025年第8期134卷 081002-081002页

作者： Zhen Cao F. Aharonian Axikegu Y. X. Bai Y. W. Bao D. Bastieri X. J. Bi Y. J. Bi W. Bian Key Laboratory of Particle Astrophysics & Experimental Physics Division & Computing Center Institute of High Energy Physics Chinese Academy of Sciences 100049 Beijing China University of Chinese Academy of Sciences 100049 Beijing China TIANFU Cosmic Ray Research Center Chengdu Sichuan China Dublin Institute for Advanced Studies 31 Fitzwilliam Place 2 Dublin Ireland Max-Planck-Institut for Nuclear Physics P.O. Box 103980 69029 Heidelberg Germany School of Physical Science and Technology & School of Information Science and Technology Southwest Jiaotong University 610031 Chengdu Sichuan China School of Astronomy and Space Science Nanjing University 210023 Nanjing Jiangsu China Center for Astrophysics Guangzhou University 510006 Guangzhou Guangdong China Tsung-Dao Lee Institute & School of Physics and Astronomy Shanghai Jiao Tong University 200240 Shanghai China

The diffuse Galactic gamma-ray emission is a very important tool used to study the propagation and interaction of cosmic rays in the Milky Way. In this Letter, we report the measurements of the diffuse emission from the Galactic plane—covering Galactic longitudes from 15° to 235° and latitudes from −5° to +5°, in an energy range of 1 to 25 TeV—made with the Water Cherenkov Detector Array (WCDA) of the Large High Altitude Air Shower Observatory. After the sky regions of known sources are masked, the diffuse emission is detected with 24.6σ and 9.1σ significance in the inner Galactic plane (15°

关键词： Cosmic rays

DHMM-Based Asynchronous Finite-Time Sliding Mode Control for Markovian Jumping Lur’e Systems

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Research Square

Research Square 2021年

作者： Nie, Rong Du, Wenli Li, Zhongmei Zhou, Zhao He, Shuping Key Laboratory of Smart Manufacturing in Energy Chemical Process East China University of Science and Technology Ministry of Education Shanghai200237 China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education School of Electrical Engineering and Automation Anhui University Hefei230601 China School of Electronic Information and Electrical Engineering Chengdu University Chengdu610106 China

This paper is concerned with the asynchronous problem for a class of Markovian jumping Lur’s system (MJLSs) via sliding mode control (SMC) in continuous-time domain. Specifically, the discrete hidden Markovian model (DHMM) is employed to describe the nonsynchronization between the controller modes and the MJLSs modes. In particular, considering the nonlinearity of MJLSs, a novel Lur’e-integral-type sliding surface is constructed. In order to ensure the finite-time stability of sliding mode dynamics and the accessibility of the specified sliding surface, the asynchronous Lur’e-type SMC law of the detector mode is presented. Finally, an example of DC motor is provided to demonstrate the effectiveness of the proposed technique. © 2021, CC BY.

关键词： Sliding mode control

Terahertz Generation via Picosecond Spin-to-Charge Conversion in IrMn3/Ni−Fe Heterojunction

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Physical Review Applied 2021年第2期16卷 024058-024058页

作者： Cheng Li Bin Fang Like Zhang Qian Chen Xiangnan Xie Nuo Xu Zhongming Zeng Zhenyu Wang Liang Fang Tian Jiang Institute for Quantum Information & State Key Laboratory of High Performance Computing National University of Defense Technology Changsha 410073 China Physical Science and Engineering Division King Abdullah University of Science and Technology Thuwal 23955-6900 Saudi Arabia Suzhou Institute of Nano-Tech and Nano-Bionics CAS Suzhou 215123 China College of Electronic and Information Engineering Wuxi University Wuxi 214105 China National Innovation Institute of Defense Technology Academy of Military Sciences PLA China Beijing 100010 China Beijing Academy of Quantum Information Sciences Beijing 100193 China Beijing Institute for Advanced Studies National University of Defense Technology 100010 China

Experimental investigations of ultrafast electro-optical properties in magnetic materials manifest their great potential for emerging spintronic optoelectronic devices. Here, using time-resolved terahertz emission spectroscopy, we construct a spintronic terahertz emitter consisting of an IrMn3/Ni−Fe heterojunction. A femtosecond spin current pulse is generated in the thin film of the Ni−Fe layer when it absorbs a femtosecond laser pulse, and then the spin current is converted into a transient charge current by the metallic IrMn3 layer on picosecond timescales. We timely record the terahertz emission associated with this ultrafast conversion process by means of electro-optic sampling. Besides, the spin-to-charge conversion efficiency of the IrMn3/Ni−Fe heterojunction is determined via quantitative analysis of the spin torque ferromagnetic resonance results. We have both optically verified and electrically studied the spin-to-charge conversion of the IrMn3/Ni−Fe heterojunction. Our results enlarge the material choice range of spintronic terahertz emitters, which may promote further investigations of ultrafast spin-to-charge conversion in different heterojunction materials.

关键词： Magnetization dynamics Optical sources & detectors Optoelectronics Spin current Spin-orbit coupling Ultrafast magnetic effects Magnetic multilayers Terahertz techniques

Manipulating the hydrogen-induced insulator-metal transition through artificial microstructure engineering

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arXiv 2025年

作者： Zhou, Xuanchi Yao, Xiaohui Lu, Wentian Guo, Jinjian Ji, Jiahui Lang, Lili Zhou, Guowei Yao, Chunwei Qiao, Xiaomei Ji, Huihui Yuan, Zhe Xu, Xiaohong Key Laboratory of Magnetic Molecules and Magnetic Information Materials of Ministry of Education School of Chemistry and Materials Science Shanxi Normal University Taiyuan030031 China Research Institute of Materials Science Shanxi Key Laboratory of Advanced Magnetic Materials and Devices Shanxi Normal University Taiyuan030031 China National Key Laboratory of Materials for Integrated Circuits Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences Shanghai200050 China Interdisciplinary Center for Theoretical Physics and Information Sciences Institute of Nanoelectronic Devices and Quantum Computing Fudan University Shanghai200433 China

Hydrogen-associated filling-controlled Mottronics within electron-correlated system provides a groundbreaking paradigm to explore exotic physical functionality and phenomena. Dynamically controlling hydrogen-induced phase transitions through external fields offers a promising route for designing protonic devices in multidisciplinary fields, but faces high-speed bottlenecks owing to slow bulk diffusion of hydrogens. Here, we present a promising pathway to kinetically expedite hydrogen-related Mott transition in correlated VO2 system by taking advantage of artificial microstructure design. Typically, inclined domain boundary configuration and cR-faceted preferential orientation simultaneously realized in VO2/Al2O3 (1 1¯ 02) heterostructure significantly lower the diffusion barrier via creating an unobstructed conduit for hydrogen diffusion. As a result, the achievable switching speed through hydrogenation outperforms that of counterpart grown on widely-reported c-plane Al2O3 substrate by 2-3 times, with resistive switching concurrently improved by an order of magnitude. Of particular interest, an anomalous uphill hydrogen diffusion observed for VO2 with a highway for hydrogen diffusion fundamentally deviates from basic Fick’s law, unveiling a deterministic role of hydrogen spatial distribution in tailoring electronic state evolution. The present work not only provides a versatile strategy for manipulating ionic evolution, endowing with great potential in designing high-speed protonic devices, but also deepens the understanding of hydrogen-induced Mott transitions in electron-correlated system. © 2025, CC BY.

关键词： Microstructural evolution

DMNER: Biomedical Named Entity Recognition by Detection and Matching

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arXiv 2023年

作者： Bian, Junyi Jiang, Rongze Zhai, Weiqi Huang, Tianyang Zhou, Hong Zhu, Shanfeng School of Computer Science Fudan University Shanghai200433 China Atypon Systems LLC United Kingdom Institute of Science and Technology for Brain-Inspired Intelligence Fudan University China Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence Fudan University Ministry of Education Shanghai200433 China MOE Frontiers Center for Brain Science Fudan University Shanghai200433 China Zhangjiang Fudan International Innovation Center Shanghai200433 China Shanghai Key Lab of Intelligent Information Processing Fudan University Shanghai200433 China

Biomedical named entity recognition (BNER) serves as the foundation for numerous biomedical text mining tasks. Unlike general NER, BNER require a comprehensive grasp of the domain, and incorporating external knowledge beyond training data poses a significant challenge. In this study, we propose a novel BNER framework called DMNER. By leveraging existing entity representation models SAP-BERT, we tackle BNER as a two-step process: entity boundary detection and biomedical entity matching. DMNER exhibits applicability across multiple NER scenarios: 1) In supervised NER, we observe that DMNER effectively rectifies the output of baseline NER models, thereby further enhancing performance. 2) In distantly supervised NER, combining MRC and AutoNER as span boundary detectors enables DMNER to achieve satisfactory results. 3) For training NER by merging multiple datasets, we adopt a framework similar to DS-NER but additionally leverage ChatGPT to obtain high-quality phrases in the training. Through extensive experiments conducted on 10 benchmark datasets, we demonstrate the versatility and effectiveness of DMNER. Copyright © 2023, The Authors. All rights reserved.

关键词： Character recognition

Digitized simulation of the moving bed 3rd

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Digitized simulation of the moving bed

3rd International Symposium on Advanced Material Research, ISAMR 2019

作者： Xie, Chao-Fan Huang, Rey-Chue Xu, Lin Zhang, Fuquan Xu, Lu-Xiong I-Shou University Department of Electrical Engineering Kaohsiung Taiwan Fuqing Branch of Fujian Normal University Electronic information and Engineering Institute FuQing FuZhouFuJian China Key Laboratory of Nondestructive Testing Fuqing Branch of Fujian Normal University FuQing FuZhouFuJian China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University Fuzhou350121 China School of Software Beijing Institute of Technology Beijing100081 China

ISBN: (纸本)9783035714647

Chromatographic separation is an indispensable and important technology in the manufacturing process of chemical products and biomedicine. It uses the distribution differences of a compound in the stationary phase and mobile phase to achieve the separation of the mixture. It is of great value to study the separation process of substances by simulated moving bed chromatography. By digitally simulating the process of moving bed, we can observe the influence of parameter changes on substance analysis by chromatography, and then find out the law of substance separation, which can provide theoretical basis for scientific research of biopharmaceuticals. © 2020 Trans Tech Publications Ltd, Switzerland.

关键词： Separation