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2024 Conference on Lasers and Electro-Optics, CLEO 2024

作者： Sun, Run Huang, Yuyao Liu, Wencan Fu, Tingzhao Yang, Sigang Chen, Hongwei Beijing National Research Center for Information Science and Technology Department of Electronic Engineering Tsinghua University Beijing100084 China

ISBN: (纸本)9781957171395

With an ultra-compact footprint of 9×18μm2 on-chip diffractive optical logic operation units accomplish (N)AND, (N)OR, and X(N)OR utilizing a standardized structures with only 36 etching slots. It has outstanding integration capability and relaxed fabrication requirements. CLEO 2024 © Optica Publishing Group 2024 © 2024 The Author(s)

关键词： System-on-chip

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TSCompiler: efficient compilation framework for dynamic-shape models

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Science China(information Sciences) 2024年第10期67卷 67-84页

作者： Xiang LUO Chen ZHANG Chenbo GENG Yanzhi YI Jiahui HU Renwei ZHANG Zhen ZHANG Gianpietro CONSOLARO Fan YANG Tun LU Ning GU Li SHANG School of Computer Science Fudan University School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University School of Computer Science and Technology Harbin Institute of Technology Huawei Technologies Co. Ltd. Huawei Paris Research Center School of Microelectronics Fudan University

Today's deep learning models face an increasing demand to handle dynamic shape tensors and computation whose shape information remains unknown at compile time and varies in a nearly infinite range at runtime. This shape dynamism brings tremendous challenges for existing compilation pipelines designed for static models which optimize tensor programs relying on exact shape values. This paper presents TSCompiler, an end-to-end compilation framework for dynamic shape models. TSCompiler first proposes a symbolic shape propagation algorithm to recover symbolic shape information at compile time to enable subsequent optimizations. TSCompiler then partitions the shape-annotated computation graph into multiple subgraphs and fine-tunes the backbone operators from the subgraph within a hardware-aligned search space to find a collection of high-performance schedules. TSCompiler can propagate the explored backbone schedule to other fusion groups within the same subgraph to generate a set of parameterized tensor programs for fused cases based on dependence analysis. At runtime, TSCompiler utilizes an occupancy-targeted cost model to select from pre-compiled tensor programs for varied tensor shapes. Extensive evaluations show that TSCompiler can achieve state-of-the-art speedups for dynamic shape models. For example, we can improve kernel efficiency by up to 3.97× on NVIDIA RTX3090, and 10.30× on NVIDIA A100 and achieve up to five orders of magnitude speedups on end-to-end latency.

关键词： machine learning tensor compilers dynamic shape operator fusion code generation auto-tuning

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Effect of Space Environment on the Reliability of Conductive Adhesive Joints 29th

Effect of Space Environment on the Reliability of Conductive...

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29th International Conference on Computational and Experimental Engineering and Sciences, ICCES 2023

作者： Ren, Lianfeng Wu, Yanpei Zhang, Le Gao, Yi Long, Xu Academy of Space Electronic Information Technology Xi’an710100 China Research and Development Institute of Northwestern Polytechnical University in Shenzhen Shenzhen518063 China

ISBN: (纸本)9783031449468

Conductive adhesive bonding technology is widely used in the lightweight microwave components of satellite payloads. In the space environment, the conductive adhesive is subjected to the coupled action of irradiation and temperature cycling. In this paper, the 60Co γ-ray radiation test and temperature cyclic accelerated life test were carried out for the conductive adhesive joints. Subsequently, the reliability of the conductive adhesive joints for aerospace applications was investigated to examine the shear strength and electrical resistivity. The results of irradiation test show that the electrical conductivity and mechanical properties of the conductive adhesive joints are not affected when they are irradiated by © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Reliability

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Photon-Counting Spectrometers Based on Superconducting Nanowire Single-Photon Detectors

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Electromagnetic Science 2024年第3期2卷 26-41页

作者： Mingzhong Hu Jingyuan Zheng Kaiyu Cui Wei Zhang Yidong Huang Frontier Science Center for Quantum Information Beijing National Research Center for Information Science and Technology(BNRist)Department of Electronic EngineeringTsinghua UniversityBeijing 100084China Beijing Academy of Quantum Information Sciences Beijing 100193China

Optical spectrum analysis provides a wealth of information about the physical *** the development of optical spectrum analysis,sensitivity has been one of the major topics and has become essential in applications dealing with faint *** high-sensitivity optical detection technologies have been applied in optical spectrum analysis to enhance its sensitivity to single-photon *** an emerging single-photon detection technology,superconducting nanowire single-photon detectors(SNSPDs)have many impressive features such as high detection efficiency,broad operation bandwidth,small timing jitter,and so on,which make them promising for enhancing the performance of optical spectral *** schemes for photon-counting spectrometers based on SNSPDs have been *** article reviews these impressive works and prospects for the future development of this *** breakthroughs can be expected in its theories,device performance,applications,and combinations with in-sensor computing,promoting it to be a mature and versatile solution for optical spectrum analysis on ultra-faint light.

关键词： Superconducting nanowire single-photon detectors Spectrometers Single-photon detector Photon counting

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Dynamics Modeling and Parameter Identification for a Coupled-Drive Dual-Arm Nursing Robot

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Chinese Journal of Mechanical Engineering 2024年第4期37卷 243-257页

作者： Hao Lu Zhiqiang Yang Deliang Zhu Fei Deng Shijie Guo College of Electronic Information and Automation Tianjin University of Science and TechnologyTianjin 300222China Academy for Engineering&Technology Fudan UniversityShanghai 200433China Shanghai Engineering Research Center of AI&Robotics Shanghai 200433China School of Mechanical Engineering Hebei University of TechnologyTianjin 300130China

A dual-arm nursing robot can gently lift patients and transfer them between a bed and a *** its lightweight design,high load-bearing capacity,and smooth surface,the coupled-drive joint is particularly well suited for these ***,the coupled nature of the joint disrupts the direct linear relationship between the input and output torques,posing challenges for dynamic modeling and practical *** study investigated the transmission mechanism of this joint and employed the Lagrangian method to construct a dynamic model of its internal *** on this foundation,the Newton-Euler method was used to develop a dynamic model for the entire robotic arm.A continuously differentiable friction model was incorporated to reduce the vibrations caused by speed transitions to *** experimental method was designed to compensate for gravity,inertia,and modeling errors to identify the parameters of the friction *** method establishes a mapping relationship between the friction force and motor *** addition,a Fourier series-based excitation trajectory was developed to facilitate the identification of the dynamic model parameters of the robotic *** tracking experiments were conducted during the experimental validation phase,demonstrating the high accuracy of the dynamic model and the parameter identification method for the robotic *** study presents a dynamic modeling and parameter identification method for coupled-drive joint robotic arms,thereby establishing a foundation for motion control in humanoid nursing robots.

关键词： Nursing-care robot Coupled-drive joint Dynamic modeling Parameter identification

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Japanese-To-english simultaneous dubbing prototype 61

Japanese-To-english simultaneous dubbing prototype

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61st Annual Meeting of the Association for Computational Linguistics, ACL-DEMO 2023

作者： Wang, Xiaolin Utiyama, Masao Sumita, Eiichiro Advanced Translation Research and Development Promotion Center National Institute of Information and Communications Technology Japan

ISBN: (纸本)9781959429708

Live video streaming has become an important form of communication such as virtual conferences. However, for cross-language communication in live video streaming, reading subtitles degrades the viewing experience. To address this problem, our simultaneous dubbing prototype translates and replaces the original speech of a live video stream in a simultaneous manner. Tests on a collection of 90 public videos show that our system achieves a low average latency of 11.90 seconds for smooth playback. Our method is general and can be extended to other language pairs. © ACL-DEMO 2023. All rights reserved.

关键词： Video streaming

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Prediction of Processing Parameters Based on Multi-objective Bayesian Optimization Combined with Machine Learning Model for High Frequency Heat Treatment of Metals 2nd

Prediction of Processing Parameters Based on Multi-objective...

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2nd International Conference on Security and information Technologies with AI, Internet Computing and Big-data Applications, SITAIBA 2023

作者： Lin, Chih-Hsueh Tseng, Yu-Hsiang Hu, Kuo-Hsin Ho, Chia-Wei Department of Electronic Engineering National Kaohsiung University of Science and Technology Kaohsiung City Taiwan Knowledge Application Development Group Metal Industry Research and Development Center Taguig Philippines

ISBN: (纸本)9789819777853

In the process of metal processing, heat treatment is a common metal processing method, which is usually used to change the mechanical properties of metal alloys to control such as hardness, strength, toughness, ductility, and elasticity. The high-frequency heat treatment is to rapidly heat the surface of the steel with high frequency, stop the heating when it reaches the quenching temperature, and use an appropriate coolant to implement quenching. In the process of processing, it is often necessary to set processing parameters for the processed products, so as to ensure that each processed product meets the requirements. This manual setting method is not only inefficient but also needs to rely on the experience of field personnel to set parameters. Even so, the problem of artificially setting wrong parameters still occurs. Therefore, this paper applies machine learning technology to analyze the correlation between processing parameters and establishes a predictive evaluation model in combination with hyperparameter optimization, and then predicts the best processing parameters. In order to achieve the concept of intelligent production line, and can reduce the problems caused by human setting errors, thereby improving efficiency. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Quenching

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Fabrication and application prospects of Pr-Fe-B/Alnico nanocomposite alloys

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Journal of Rare Earths 2024年第9期42卷 1717-1723,I0003页

作者： Hui Liang Sajjad Ur Rehman Ruibiao Zhang Yongqiang Deng Haihua Liu Munan Yang National Rare Earth Functional Materials Innovation Center College of Rare EarthsJiangxi University of Science and TechnologyGanzhou341000China Zhejiang Tiantong Electronic Information Materials Research Institute Co. Ltd.Haining314400China

The potentials of rare earth-based nanocomposite alloys have never been realized due to strict microstructural *** to the easy demagnetization it is challenging to increase the soft magnetic phase *** avoid the easy demagnetization,Pr-Fe-B/Alnico magnets were fabricated and reported in this *** content of the Alnico phase is increased from 0 to 25 wt%,while the content of Pr element is reduced to below the sub-stoichiometry of the 2:14:1 main *** maximum magnetic energy product,which is the figure-of-merit for permanent magnets,is increased from 122 kJ/m^(3) for the standard alloy to 146 kJ/m^(3) for the alloy with 15 wt% Alnico which shows a significant improvement considering the fact that the Curie point of the magnet is also increased by~66 *** special microstructure contains distinctly and heterogeneously distributed 2:14:1 and Alnico *** dimensions of neither the 2:14:1 nor the Alnico phases meet the dimensional requirements of the nanocomposite magnets,but still the smooth demagnetization curves are noted for the *** behavior of effective anisotropy,the performance of the magnets in applied magnetic field and the magnetic interactions among the various constituent grains were quantitatively studied by reversible susceptibility,irreversible susceptibility and re coil loop *** study may provide some guiding principles for the development of nanocomposite magnetic alloys with excellent magnetic properties by using much less RE elements.

关键词： Composite alloys High performance magnets Magnetic properties Alnico alloys Rare earth magnets

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Systematic Construction and Application of Intelligent Teaching Environment in Medical Colleges 3

Systematic Construction and Application of Intelligent Teach...

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3rd IEEE International Conference on information technology, Big Data and Artificial Intelligence, ICIBA 2023

作者： Yao, Zhen Pengxi, Li Zhu, Ping Li, Wenjuan Chongqing Medical University Center for Faculty Development Chongqing China University of Electronic Science and Technology of China Information Center Sichuan China

ISBN: (纸本)9781665490788

Smarter learning plays an important role in promoting the reform of higher education and teaching. This paper first analyzes the problems of intelligent teaching in the field of medical education. On the basis of the current campus learning environment, a more systematic, comprehensive and interrelated intelligent teaching environment is constructed, and the intelligent teaching mode is explored, which provides favorable software and hardware conditions for better network teaching in medical colleges and universities in the future, and makes the intelligent teaching research in the medical field more accurate and in-depth. Teaching behavior pays more attention to the reasonable connection between theory and practice. © 2023 IEEE.

关键词： Computer aided instruction

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Photonic neuromorphic architecture for tens-of-task lifelong learning

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Light(Science & Applications) 2024年第3期13卷 519-530页

作者： Yuan Cheng Jianing Zhang Tiankuang Zhou Yuyan Wang Zhihao Xu Xiaoyun Yuan Lu Fang Sigma Laboratory Department of Electronic EngineeringTsinghua UniversityBeijing 100084China Beijing National Research Center for Information Science and Technology(BNRist) Beijing 100084China Institute for Brain and Cognitive Science Tsinghua University(THUIBCS)Beijing 100084China

Scalable,high-capacity,and low-power computing architecture is the primary assurance for increasingly manifold and large-scale machine learning *** electronic artificial agents by conventional power-hungry processors have faced the issues of energy and scaling walls,hindering them from the sustainable performance improvement and iterative multi-task *** to another modality of light,photonic computing has been progressively applied in high-efficient neuromorphic ***,we innovate a reconfigurable lifelong-learning optical neural network(L2 ONN),for highly-integrated tens-of-task machine intelligence with elaborated algorithm-hardware *** from the inherent sparsity and parallelism in massive photonic connections,L2 ONN learns each single task by adaptively activating sparse photonic neuron connections in the coherent light field,while incrementally acquiring expertise on various tasks by gradually enlarging the *** multi-task optical features are parallelly processed by multi-spectrum representations allocated with different *** evaluations on freespace and on-chip architectures confirm that for the first time,L2 ONN avoided the catastrophic forgetting issue of photonic computing,owning versatile skills on challenging tens-of-tasks(vision classification,voice recognition,medical diagnosis,etc.)with a single ***,L2 ONN achieves more than an order of magnitude higher efficiency than the representative electronic artificial neural networks,and 14×larger capacity than existing optical neural networks while maintaining competitive performance on each individual *** proposed photonic neuromorphic architecture points out a new form of lifelong learning scheme,permitting terminal/edge AI systems with light-speed efficiency and unprecedented scalability.

关键词： life neural versatile

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