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Research in Astronomy and Astrophysics 2024年第7期24卷 158-169页

作者： Yining Wang Rui Sun Tianyuan Deng chenghui zhao Peixuan zhao Jiayi Yang Peng Jia Huigen Liu Jilin Zhou College of Electronic Information and Optical Engineering Taiyuan University of TechnologyTaiyuan 030024China School of Astronomy&Space Science Nanjing UniversityNanjing 210093China Peng cheng Lab Shenzhen 518066China

The China Space Station Telescope(CSST)is a telescope with 2 m diameter,obtaining images with high quality through wide-field *** its first observation cycle,to capture time-domain observation data,the CSST is proposed to observe the Galactic halo across different *** data have significant potential for the study of properties of stars and ***,the density of stars in the Galactic center is high,and it is a well-known challenge to perform astrometry and photometry in such a dense star *** paper presents a deep learning-based framework designed to process dense star field images obtained by the CSST,which includes photometry,astrometry,and classifications of targets according to their light curve *** simulated CSST observation data,we demonstrate that this deep learning framework achieves photometry accuracy of 2%and astrometry accuracy of 0.03 pixel for stars with moderate brightness mag=24(i band),surpassing results obtained by traditional ***,the deep learning based light curve classification algorithm could pick up celestial targets whose magnitude variations are 1.7 times larger than magnitude variations brought by Poisson photon *** anticipate that our framework could be effectively used to process dense star field images obtained by the CSST.

关键词： techniques photometric-methods data analysis-astrometry

Generalized time-dependent generator coordinate method for induced fission dynamics

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Frontiers of physics 2024年第4期19卷 1-12页

作者： B.Li D.Vretenar T.Nikšić J.zhao P.W.zhao J.Meng State Key Laboratory of Nuclear Physics and Technology School of PhysicsPeking UniversityBeijing 100871China Physics Department Faculty of ScienceUniversity of Zagreb10000 ZagrebCroatia Center for Circuits and Systems Peng Cheng LaboratoryShenzhen 518055China

The generalized time-dependent generator coordinate method(TD-GCM)is extended to include pairing *** correlated GCM nuclear wave function is expressed in terms of time-dependent generator states and weight *** particle–hole channel of the effective interaction is determined by a Hamiltonian derived from an energy density functional,while pairing is treated dynamically in the standard BCS approximation with time-dependent pairing tensor and single-particle occupation *** the inclusion of pairing correlations,various time-dependent phenomena in open-shell nuclei can be described more *** model is applied to the description of saddle-to-scission dynamics of induced *** generalized TD-GCM charge yields and total kinetic energy distribution for the fission of 240Pu,are compared to those obtained using the standard time-dependent density functional theory(TD-DFT)approach,and with available data.

关键词： nuclear density functional theory generator coordinate method fission dynamics

Target-adaptive optical phased array lidar

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Photonics Research 2024年第5期12卷 904-911页

作者： YUNHAO FU BAISONG CHEN WENQIANG YUE MIN TAO HAOYANG zhao YINGZHI LI XUETONG LI HUAN QU XUEYAN LI XIAOLONG HU JUNFENG SONG State Key Laboratory on Integrated Optoelectronics College of Electronic Science and EngineeringJilin UniversityChangchun 130012China Peng cheng Laboratory Shenzhen 518000China

Lidar based on the optical phased array(OPA)and frequency-modulated continuous wave(FMCW)technology stands out in automotive applications due to its all-solid-state design,high reliability,and remarkable resistance to ***,while FMCW coherent detection enhances the interference resistance capabilities,it concurrently results in a significant increase in depth computation,becoming a primary constraint for improving point cloud density in such perception *** address this challenge,this study introduces a lidar solution leveraging the flexible scanning characteristics of *** proposed system categorizes target types within the scene based on RGB ***,it performs scans with varying angular resolutions depending on the importance of the *** results demonstrate that,compared to traditional scanning methods,the target-adaptive method based on semantic segmentation reduces the number of points to about one-quarter while maintaining the resolution of the primary target ***,with a similar number of points,the proposed approach increases the point cloud density of the primary target area by about four times.

关键词： optical lidar coherent

Channel-Feedback-Free Transmission for Downlink FD-RAN:A Radio Map Based Complex-Valued Precoding Network Approach

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China Communications 2024年第4期21卷 10-22页

作者： zhao Jiwei Chen Jiacheng Sun Zeyu Shi Yuhang Zhou Haibo Xuemin(Sherman)Shen School of Electronic Science and Engineering Nanjing UniversityNanjing 210023China College of Information Science and Electronic Engineering Zhejiang UniversityHangzhou 310058China Department of Mathematics and Theories Peng Cheng LaboratoryShenzhen 518000China Department of Electrical and Computer Engineering University of WaterlooWaterlooOntarioN2L 3G1Canada

As the demand for high-quality services proliferates,an innovative network architecture,the fully-decoupled RAN(FD-RAN),has emerged for more flexible spectrum resource utilization and lower network ***,with the decoupling of uplink base stations and downlink base stations in FDRAN,the traditional transmission mechanism,which relies on real-time channel feedback,is not suitable as the receiver is not able to feedback accurate and timely channel state information to the *** paper proposes a novel transmission scheme without relying on physical layer channel ***,we design a radio map based complex-valued precoding network(RMCPNet)model,which outputs the base station precoding based on user *** comprises multiple subnets,with each subnet responsible for extracting unique modal features from diverse input ***,the multimodal embeddings derived from these distinct subnets are integrated within the information fusion layer,culminating in a unified *** also develop a specific RMCPNet training algorithm that employs the negative spectral efficiency as the loss *** evaluate the performance of the proposed scheme on the public DeepMIMO dataset and show that RMCPNet can achieve 16%and 76%performance improvements over the conventional real-valued neural network and statistical codebook approach,respectively.

关键词： beamforming complex neural networks deep learning FD-RAN

Numerical study of a bi-directional in-band pumped dysprosium-doped fluoride fiber laser at 3.2μm

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Frontiers of Information Technology & Electronic Engineering 2024年第7期25卷 1017-1024页

作者： Lingjing LI Chunyang MA Nian zhao Jie PENG Bin LIU Haining JI Yuchen WANG Pinghua TANG School of Physics and Optoelectronics Xiangtan UniversityXiangtan 411105China Research Center of Circuits and Systems Peng Cheng LaboratoryShenzhen 518055China Shanghai Institute of Optics and Fine Mechanics Chinese Academy of SciencesShanghai 201899China

Dy^(3+)-doped fluoride fiber lasers have important applications in environment monitoring,real-time sensing,and polymer *** present,achieving a high-efficiency and high-power Dy^(3+)-doped fluoride fiber laser in the mid-infrared(mid-IR)region over 3μm is a scientific and technological ***,Dy^(3+)-doped fluoride fiber lasers use a unidirectional pumping method,which suffers from the drawback of high thermal loading density on the fiber tips,thus limiting power *** this study,a bi-directional in-band pumping scheme,to address the limitations of output power scaling and to enhance the efficiency of the Dy^(3+)-doped fluoride fiber laser at 3.2μm,is investigated numerically based on rate equations and propagation *** simulation results reveal that the optical‒optical efficiency of the bi-directional in-band pumped Dy^(3+)-doped fluoride fiber laser can reach 75.1%,approaching the Stokes limit of 87.3%.The potential for further improvement of the efficiency of the Dy^(3+)-doped fluoride fiber laser is also *** bi-directional pumping scheme offers the intrinsic advantage of mitigating the thermal load on the fiber tips,unlike unidirectional pumping,in addition to its high *** a result,it is expected to significantly scale the power output of Dy^(3+)-doped fluoride fiber lasers in the mid-IR regime.

关键词： Mid-infrared laser Fiber laser Bi-directional pumping

Intelligent Internet of Things with Reliable Communication and Collaboration Technologies

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China Communications 2024年第8期21卷 I0002-I0006页

作者： zhao Junhui Wu Celimuge Xu Wenjun Qi Chenhao Bu Shengrong Zhang Shuowen Zhang Qingmiao the School of Electronics and Information Engineering Beijing Jiaotong University the School of Information Engineering in East China Jiaotong University Meta-Networking Research Center the University of Electro-Communications the School of Artificial Intelligence BUPT State Key Laboratory of Networking and Switching Technology the Peng Cheng Laboratory the faculty of the School of Information Science and Engineering Southeast University Brock University the Hong Kong Polytechnic University East China Jiaotong University

The Internet of Things(IoT)connects objects to Internet through sensor devices,radio frequency identification devices and other information collection and processing devices to realize information *** is widely used in many fields,including intelligent transportation,intelligent healthcare,intelligent home and *** these fields,IoT devices connected via high-speed internet for efficient and reliable communications and faster response times.

关键词： interaction Internet IoT

Large circuit models: opportunities and challenges

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Science China(Information Sciences) 2024年第10期67卷 25-66页

作者： Lei CHEN Yiqi CHEN Zhufei CHU Wenji FANG Tsung-Yi HO Ru HUANG Yu HUANG Sadaf KHAN Min LI Xingquan LI Yu LI Yun LIANG Jinwei LIU Yi LIU Yibo LIN Guojie LUO Hongyang PAN Zhengyuan SHI Guangyu SUN Dimitrios TSARAS Runsheng WANG Ziyi WANG Xinming WEI Zhiyao XIE Qiang XU Chenhao XUE Junchi YAN Jun YANG Bei YU Mingxuan YUAN Evangeline F.Y.YOUNG Xuan ZENG Haoyi ZHANG Zuodong ZHANG Yuxiang zhao Hui-Ling ZHEN Ziyang ZHENG Binwu ZHU Keren ZHU Sunan ZOU Huawei Noah’s Ark Lab School of Integrated Circuits Peking University Faculty of Electrical Engineering and Computer Science Ningbo University Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Department of Computer Science and Engineering The Chinese University of Hong Kong School of Integrated Circuits Southeast University Huawei HiSilicon Peng cheng Laboratory School of Computer Science Peking University School of Microelectronics State Key Laboratory of Integrated Chips and System Fudan University School of Artificial Intelligence Shanghai Jiao Tong University

Within the electronic design automation(EDA) domain, artificial intelligence(AI)-driven solutions have emerged as formidable tools, yet they typically augment rather than redefine existing methodologies. These solutions often repurpose deep learning models from other domains, such as vision, text, and graph analytics, applying them to circuit design without tailoring to the unique complexities of electronic circuits. Such an “AI4EDA” approach falls short of achieving a holistic design synthesis and understanding,overlooking the intricate interplay of electrical, logical, and physical facets of circuit data. This study argues for a paradigm shift from AI4EDA towards AI-rooted EDA from the ground up, integrating AI at the core of the design process. Pivotal to this vision is the development of a multimodal circuit representation learning technique, poised to provide a comprehensive understanding by harmonizing and extracting insights from varied data sources, such as functional specifications, register-transfer level(RTL) designs, circuit netlists,and physical layouts. We champion the creation of large circuit models(LCMs) that are inherently multimodal, crafted to decode and express the rich semantics and structures of circuit data, thus fostering more resilient, efficient, and inventive design methodologies. Embracing this AI-rooted philosophy, we foresee a trajectory that transcends the current innovation plateau in EDA, igniting a profound “shift-left” in electronic design methodology. The envisioned advancements herald not just an evolution of existing EDA tools but a revolution, giving rise to novel instruments of design-tools that promise to radically enhance design productivity and inaugurate a new epoch where the optimization of circuit performance, power, and area(PPA) is achieved not incrementally, but through leaps that redefine the benchmarks of electronic systems' capabilities.

关键词： AI-rooted EDA large circuit models (LCMs) multimodal circuit representation learning circuit optimization

An energy management scheme based power-over-fiber system

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Optoelectronics Letters 2019年第6期15卷 420-423页

作者： LU Shen-ting WEI Pu HUANG Hui Department of Communication Engineering Nanjing Institute of TechnologyNanjing 211167China Global Energy Interconnection Research Institute State Grid Laboratory of Electric Power Communication Network TechnologyNanjing 210003China zhao cheng

Power-over-fiber technology provides several advantages for harsh industrial application and can potentially be widely used in electric power system. In this paper, a reliable power-over-fiber system is presented, which is able to adjust the optical power automatically corresponding to the variance of the output load. An optic-electric feedback energy management scheme is designed and experimentally verified. The static and dynamic responses of the system towards load variances are further tested. The results show that the working status of the laser can be dynamically changed according to the output load, rather than maintaining the laser at the status of high-power output, which will potentially prolong the life and enhance the reliability of the system.

关键词： fiber power scheme

GUEST EDITORIAL Intelligent Internet of Things with Reliable Communication and Collaboration Technologies

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China Communications 2024年第8期 4-8页

The Internet of Things(IoT) connects objects to Internet through sensor devices, radio frequency identification devices and other information collection and processing devices to realize information interaction. IoT is widely used in many fields, including intelligent transportation, intelligent healthcare, intelligent home and industry.

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New Generalized Transformation Method and Its Application in Higher-Dimensional Soliton Equation

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Communications in Theoretical Physics 2006年第3期45卷 447-451页

作者： BAI cheng-Lin GUO Zong-Lin zhao Hong Physical Science and Information Engineering School Lia~cheng University Liaocheng 252059 China

A new generalized transformation method is differential equation. As an application of the method, we presented to find more exact solutions of nonlinear partial choose the （3＋1）-dimensional breaking soliton equation to illustrate the method. As a result many types of explicit and exact traveling wave solutions, which contain solitary wave solutions, trigonometric function solutions, Jacobian elliptic function solutions, and rational solutions, are obtained. The new method can be extended to other nonlinear partial differential equations in mathematical physics.

关键词： new generalized transformation method, exact solution, (3+1)-dimensional breaking soliton equation, KdV equation mKdV equation cubic nonlinear Klein-Gordon equation