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arXiv 2024年

作者： Yu, Yifei Wang, Shaocong Zhang, Woyu Zhang, Xinyuan Wu, Xiuzhe He, Yangu Yang, Jichang Zhang, Yue Lin, Ning Wang, Bo Chen, Xi Wang, Songqi Zhang, Xumeng Qi, Xiaojuan Wang, Zhongrui Shang, Dashan Liu, Qi Cheng, Kwang-Ting Liu, Ming Department of Electrical and Electronic Engineering The University of Hong Kong Hong Kong Hong Kong ACCESS – AI Chip Center for Emerging Smart Systems InnoHK Centers Hong Kong Science Park Hong Kong Hong Kong Institute of Mind The University of Hong Kong Hong Kong Hong Kong Key Lab of Fabrication Technologies for Integrated Circuits Institute of Microelectronics Chinese Academy of Sciences Beijing100029 China Laboratory of Microelectronic Devices and Integrated Technology Institute of Microelectronics Chinese Academy of Sciences Beijing100029 China University of Chinese Academy of Sciences Beijing100049 China Frontier Institute of Chip and System Fudan University Shanghai200433 China Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Hong Kong Hong Kong

Human beings construct perception of space by integrating sparse observations into massively interconnected synapses and neurons, offering a superior parallelism and efficiency. Replicating this capability in AI finds wide applications in medical imaging, AR/VR, and embodied AI, where input data is often sparse and computing resources are limited. However, traditional signal reconstruction methods on digital computers face both software and hardware challenges. On the software front, difficulties arise from storage inefficiencies in conventional explicit signal representation. Hardware obstacles include the von Neumann bottleneck, which limits data transfer between the CPU and memory, and the limitations of CMOS circuits in supporting parallel processing. We propose a systematic approach with software-hardware co-optimizations for signal reconstruction from sparse inputs. Software-wise, we employ neural field to implicitly represent signals via neural networks, which is further compressed using low-rank decomposition and structured pruning. Hardware-wise, we design a resistive memory-based computing-in-memory (CIM) platform, featuring a Gaussian Encoder (GE) and an MLP Processing Engine (PE). The GE harnesses the intrinsic stochasticity of resistive memory for efficient input encoding, while the PE achieves precise weight mapping through a Hardware-Aware Quantization (HAQ) circuit. We demonstrate the system’s efficacy on a 40nm 256Kb resistive memory-based in-memory computing macro, achieving 31.5×, 35.5×, and 47.2× energy efficiency improvements and 10.8×, 38.8×, and 6.2× parallelism improvements without compromising reconstruction quality in tasks like 3D CT sparse reconstruction, novel view synthesis, and novel view synthesis for dynamic scenes. This work advances the AI-driven signal restoration technology and paves the way for future efficient and robust medical AI and 3D vision applications. Copyright © 2024, The Authors. All rights reserved.

关键词： Signal reconstruction

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P-66: Simulation and Optimization of In-Situ Integration Ultraviolet HEMT-LED Enabled by P-GaN Selective Epitaxy Growth

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SID Symposium Digest of Technical Papers 2023年第1期54卷

作者： Jingyang Zhang Wei Huang Zhaojun Liu Department of Electronic and Electrical Engineering Southern University of Science and Technology Shenzhen Guangdong China 518055 A State Key Laboratory of ASIC and System Shanghai Institute of Intelligent Electronics & Systems School of Microelectronics Fudan University Shanghai China 200433

Based on previous work, the ultraviolet HEMT-LED we fabricated by selective epitaxy growth, this paper further performed simulation to explore the most appropriate p-GaN selection size. P-GaN grown by Selective Epitaxy Growth (SEG) can not only be employed as a junction termination to reduce the electric field crowding of the gate of HEMT, but also form an active region by contacting with 2-dimentional electron gas (2DEG). The simulation results provide an effective reference for the design of p-GaN grown by SEG, and further pave the way for the realization of the idea of integration through the selection of growth methods.

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Annual business and news:: Beginning the 31st year of the Journal of Guidance, Control, and Dynamics

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JOURNAL OF GUIDANCE CONTROL AND DYNAMICS 2008年第1期31卷 1-1页

作者： Schmidt, George T. Aeronautics and Astronautics Massachusetts Institute of Technology (MIT) AIAA Institute of Electrical and Electronics Engineers Russian Federation Academy of Navigation and Motion Control Department of Mechanical and Aerospace Engineering and Engineering Mechanics University of Missouri-Rolla(UMR) Lockheed Electronics Company Center for Space Research University of Texas Austin United States Wright Laboratory Eglin Air Force Base UMR AIAA Guidance Navigation and Control Technical Committee American Automatic Control Council Lockheed Martin Aeronautics Company Palmdale CA United States C4ISR and Unmanned Air Vehicle (UAV) Programs for Air Vehicle Sciences and Systems Accreditation Board Engineering and Technology Inc./Aeronautical National Technical Committee on Guidance Navigation and Control Department of Mechanical and Aerospace Engineering University at Buffalo State University of New York (SUNY) AIAA Technical Committee on GN and C Air Vehicles Directorate Air Force Research Laboratory (AFRL) Wright-Patterson Air Force Base Space Access and Hypersonic Vehicle Guidance and Control Group Control Science Center of Excellence AFRL AIAA Technical Committee on Guidance Navigation and Control Department of Mechanical and Aeronautical Engineering University of California (UC) Davis United States Boeing Company Modernized Flight Control System for the Apache Longbow AIAA Institute of Electrical and Electronics Engineers AHS Jet Propulsion Laboratory California Institute of Technology Boeing Company Flight Sciences and Advanced Design Group Guidance Navigation and Control (GN and C) Systems Engineer Distributed Space Systems NASA Goddard Space Flight Center (GSFC) AIAA GN and C Technical Committee Department of Aerospace Engineering and Engineering Mechanics University of Texas Austin United States Institute of Navigation American Astronautical Society AIAA Guidance Navigation (GN and C) and Control Technical Committee Department of Aerospace Engineering Iowa State University Iowa

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MK-92 FIRE-CONTROL system

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NAVAL ENGINEERS JOURNAL 1979年第4期91卷 69-76页

作者： RYAN, FN BERLIN, J Mr. Floyd N. Ryan graduated from Frostburg State College and has performed graduate studies in Technology of Management at American University and University of Southern California. He is presently Executive Director of the Surface Missile Systems Sub-Group in the Naval Sea Systems Command. He was previously Deputy Project Manager of the MK-92 FCS/MK-75 Gun Project Deputy Systems Engineering Manager in the AEGIS Project and Surface Missile Systems Branch Head in the Naval Ordnance Systems Command. His earlier experience with the Department of the Navy included the Engineering Interface Management Office in the Bureau of Ships the Foreign Ship Systems Engineering Office and Switching Systems Design Office at RCA Service Company and he served for four years in the U.S. Navy as an Electronic Technician Petty Officer. In addition to ASNE he is a member of the Association of Scientists and Engineers and is the Executive Director (NAVSEA) for the 1978-79 term. In addition to several outstanding performance awards and citations for achievement Mr. Ryan received the Navy Meritorious Civilian Service Award for exceptional contribution to the development of the AEGIS Weapon System. Mr. Jack Berlin received his Bachelor's degree in Electrical Engineering from the City College of New York and his M.S. degree in Electrical Engineering from Columbia University. He spent eight years in the Radar and Microwave Electronics Section of the Naval Material Laboratory. Subsequently. he has had extensive experience in Radar and Fire Control Systems. This has included responsibility for the design and field evaluation of the GFCS MK 87 Radar. From 1972 to 1973 he was the Sperry Program Manager for the Fire Control System (FCS) MK 92. His current assignment is Assistant Manager for New Developments of Missile and Gun Fire Control Systems for the U.S. Navy. He is a member of the Tau Beta Pi and Eta Kappa Nu Honorary Societies.

The MK 92 Fire Control system (FCS) & a new, integrated, highly reliable and light-weight U.S. Navy Fire Control system for missile and gun control. This system, which is in production for the FFG, PCG, PGG and PHM Ship Classes, provides the detection and automation required for modern naval warfare. Search radar data & presented at a very high rate at the operator's console, a highly integrated man-machine interface. Utilization of monopulse and “track-while-scan” techniques result in multiple target tracking capability. The system console(s) offer a self-contained command and control capability and, in addition, standard digital computer channels provide the versatile interface with the ship's command and control, integrating the complete engagement process. Error cancellation techniques are employed to obtain high performance accuracy even under severe environmental conditions. The low manning requirement for both operation and maintenance is a key system attribute for all applications. Comprehensive “at-sea” evaluations, performed by the U.S. Navy, demonstrated successful system operation in all modes of surveillance, multi-target tracking and simultaneous missile and gun engagements. The “at-sea” performance record of the FCS MK 92 was cited by the Chief of Naval Operations to have established new standards for Naval Surface Weapons systems.

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Dynamic neural network with memristive CIM and CAM for 2D and 3D vision

arXiv

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arXiv 2024年

作者： Zhang, Yue Zhang, Woyu Wang, Shaocong Lin, Ning Yu, Yifei He, Yangu Wang, Bo Jiang, Hao Lin, Peng Xu, Xiaoxin Qi, Xiaojuan Wang, Zhongrui Zhang, Xumeng Shang, Dashan Liu, Qi Cheng, Kwang-Ting Liu, Ming Department of Electrical and Electronic Engineering The University of Hong Kong Hong Kong Key Laboratory of Microelectronic Devices & Integrated Technology Institute of Microelectronics Chinese Academy of Sciences Beijing100049 China ACCESS – AI Chip Center for Emerging Smart Systems InnoHK Centers Hong Kong Science Park Hong Kong Institute of the Mind The University of Hong Kong Hong Kong Key Lab of Fabrication Technologies for Integrated Circuits Chinese Academy of Sciences Beijing100049 China State Key Laboratory of Integrated Chips and Systems Frontier Institute of Chip and System Fudan University Shanghai200433 China University of Chinese Academy of Sciences Beijing100049 China College of Computer Science and Technology Zhejiang University Zhejiang310027 China Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Hong Kong

The brain is dynamic, associative and efficient. It reconfigures by associating the inputs with past experiences, with fused memory and processing. In contrast, AI models are static, unable to associate inputs with past experiences, and run on digital computers with physically separated memory and processing. We propose a hardware-software co-design, a semantic memory-based dynamic neural network (DNN) using memristor. The network associates incoming data with the past experience stored as semantic vectors. The network and the semantic memory are physically implemented on noise-robust ternary memristor-based Computing-In-Memory (CIM) and Content-Addressable Memory (CAM) circuits, respectively. We validate our co-designs, using a 40nm memristor macro, on ResNet and PointNet++ for classifying images and 3D points from the MNIST and ModelNet datasets, which not only achieves accuracy on par with software but also a 48.1% and 15.9% reduction in computational budget. Moreover, it delivers a 77.6% and 93.3% reduction in energy consumption. © 2024, CC BY.

关键词： Memristors

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system engineering STATE-OF-ART EQUAL TO MODERN WARSHIP design

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NAVAL ENGINEERS JOURNAL 1978年第2期90卷 130-136页

作者： ECKHART, M USN (RET.) The Authoris currently Chief Scientist in the Autonetics Marine Systems Division Rockwell International concentrating in Digital Simulation Applications in System Engineering. A graduate of the U. S. Naval Academy in 1945 he served in various surface assignments until 1950. Subsequent thereto after being designated an Engineering Duty Officer (ED) he had Type Commander Staff Laboratory ESO and Naval Shipyard assignments until 1962 when he became the Miltary Chairman Electrical Science at the U. S. Naval Academy. In 1965 he became the Head Electrical/Electronics Design Branch Bureau of Ships remaining in this assignment until 1967 when he assumed the responsibilities of Director Ship Concept Design Division Naval Ship Engineering Center. Upon retiring from the U. S. Naval Service in 1970 he joined Rockewell International and the following year became the Manager of the Integration Programs Group involved in Model—Based Systems Analysis EM Effectiveness Submarine Control and Ship Data Miltiplexing. His education includes a BS degree from the U. S. Naval Academy a BS degree in Electrical Engineering received from Massachusetts Institute of Technology in 1949 and a MS degree in Electrical Engineering received from The George Washington University in 1967. A former ASNE Council Member he has been active in ASNE at both the National and Local Section levels since 1967.

The general systems engineering state—of—the—art has not been equal to the functional diversity of modern multimission warships, nor to the more complex system relationships that are characteristically involved in their design. Resultant dependence upon qualitative assessments of higher level relationships in warship definition and design has been and is a critical impediment to the Navy's corporate purposes, both in prosecuting its vital rebuilding campaign and in dealing with the technological pace of naval warfare. A design methodology development, first reported on ASNE Day 74, has provided the basis for removing this impediment. The threshold criterion of system engineering, quantification, and correlation of total system design objectives, can be satisfied for warship definition and design. Further, the basic elements of an exploitive system engineering practice have been developed sufficiently to confirm their validity. This work is interpreted in terms of the system engineering structure that can be expected to emerge; first, because it can be done, and second, because its payoffs are so urgently needed by the Navy.

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Enhancement of sensing performance for yeast cell using tapered optical fibre

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AIP Conference Proceedings 2024年第1期2898卷

作者： Norhafizah Burham Nur Nadia Bachok Naimah Mat Isa Norhana Arsad Photonics Technology Laboratory Department of Electrical Electronic and Systems Engineering Faculty of Engineering and Built Environment Universiti Kebangsaan Malaysia 43600 UKM Bangi Selangor Malaysia Integrated Microelectronics System and Applications (IMSaA) School of Electrical Engineering College of Engineering Universiti Teknologi MARA 40450 Shah Alam Selangor Malaysia School of Electrical Engineering College of Engineering Universiti Teknologi MARA 40450 Shah Alam Selangor Malaysia

This paper demonstrates a simple optical sensor to sense yeast cells using a multimode tapered fibre optic. The sensitivity of various yeast cell concentrations is analysed by comparing two devices which are a spectrometer and an optical power meter. The experiment starts with tapering the optical fibre using a Vytran glass processing workstation to achieve waist diameter and length of 40 µm and 20 mm. Various yeast concentrations of 5% – 25% were used to observe the maximum absorption peak and sensitivity using the optical power meter and spectrometer. The result shows that the maximum absorption wavelength for yeast is 650 nm at 5% concentration. The sensitivity of detecting yeast is 0.005 a.u/% and 0.8931 dBm/% and was analysed by plotting the absorbance peak and output power meter. The growth and sensitivity of live yeast cells can be detected and monitored using an optical sensor and can be applied for food technology applications.

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Two-dimensional materials for future information technology: status and prospects

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Science China(Information Sciences) 2024年第6期67卷 1-147页

作者： Hao QIU Zhihao YU Tiange ZHAO Qi ZHANG Mingsheng XU Peifeng LI Taotao LI Wenzhong BAO Yang CHAI Shula CHEN Yiqi CHEN Hui-Ming CHENG Daoxin DAI Zengfeng DI Zhuo DONG Xidong DUAN Yuhan FENG Yu FU Jingshu GUO Pengwen GUO Yue HAO Jun HE Xiao HE Jingyi HU Weida HU Zehua HU Xinyue HUANG Ziyang HUANG Ali IMRAN Ziqiang KONG Jia LI Qian LI Weisheng LI Lei LIAO Bilu LIU Can LIU Chunsen LIU Guanyu LIU Kaihui LIU Liwei LIU Sheng LIU Yuan LIU Donglin LU Likuan MA Feng MIAO Zhenhua NI Jing NING Anlian PAN Tian-Ling REN Haowen SHU Litao SUN Yue SUN Quanyang TAO Zi-Ao TIAN Dong WANG Hao WANG Haomin WANG Jialong WANG Junyong WANG Wenhui WANG Xingjun WANG Yeliang WANG Yuwei WANG Zhenyu WANG Yao WE... Department of Applied Physics The Hong Kong Polytechnic University Key Laboratory for Micro-Nano Physics and Technology of Hunan Province College of Materials Science and EngineeringHunan University College of Integrated Circuits Zhejiang University Shenzhen Geim Graphene Center Shenzhen Key Laboratory of Layered Materials for Value-Added ApplicationsTsinghua-Berkeley Shenzhen Institute & Institute of Materials ResearchTsinghua Shenzhen International Graduate SchoolTsinghua University State Key Laboratory of Extreme Photonics and Instrumentation College of Optical Science and EngineeringInternational Research Center for Advanced PhotonicsZijingang CampusZhejiang University National Key Laboratory of Materials for Integrated Circuits Shanghai Institute of Microsystem and Information TechnologyChinese Academy of Sciences CAS Key Laboratory of Nanophotonic Materials and Devices & Key Laboratory of Nanodevices and Applications i-LabSuzhou Institute of Nano-Tech and Nano-Bionics (SINANO)Chinese Academy of Sciences College of Chemistry and Chemical Engineering Hunan University Key Laboratory of Quantum State Construction and Manipulation (Ministry of Education) Department of PhysicsRenmin University of China School of Integrated Circuits Beijing National Research Center for Information Science and Technology (BNRist)Tsinghua University School of Electronic Science and Engineering Nanjing University The State Key Discipline Laboratory of Wide Band Gap Semiconductor Technology Shaanxi Joint Key Laboratory of GrapheneSchool of MicroelectronicsXidian University Key Laboratory of Artificial Micro- and Nano-Structures of Ministry of Education School of Physics and TechnologyWuhan University School of Integrated Circuits Huazhong University of Science and Technology Center for Nanochemistry (CNC) Beijing Science and Engineering Center for NanocarbonsBeijing National Laboratory for Molecular SciencesCollege of Chemistry and Molecular EngineeringPeking University State Key Laboratory for Artificial Microstruct

Over the past 70 years, the semiconductor industry has undergone transformative changes,largely driven by the miniaturization of devices and the integration of innovative structures and materials. Two-dimensional(2D) materials like transition metal dichalcogenides(TMDs) and graphene are pivotal in overcoming the limitations of silicon-based technologies, offering innovative approaches in transistor design and functionality, enabling atomic-thin channel transistors and monolithic 3D integration. We review the important progress in the application of 2D materials in future information technology, focusing in particular on microelectronics and optoelectronics. We comprehensively summarize the key advancements across material production, characterization metrology, electronic devices, optoelectronic devices, and heterogeneous integration on silicon. A strategic roadmap and key challenges for the transition of 2D materials from basic research to industrial development are outlined. To facilitate such a transition, key technologies and tools dedicated to 2D materials must be developed to meet industrial standards, and the employment of AI in material growth, characterizations, and circuit design will be essential. It is time for academia to actively engage with industry to drive the next 10 years of 2D material research.

关键词： two-dimensional (2D) materials information technology production technology standardization of characterization microelectronic devices optoelectronic devices multi-functional integration

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Echo state graph neural networks with analogue random resistor arrays

arXiv

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arXiv 2021年

作者： Wang, Shaocong Li, Yi Wang, Dingchen Zhang, Woyu Chen, Xi Dong, Danian Wang, Songqi Zhang, Xumeng Lin, Peng Gallicchio, Claudio Xu, Xiaoxin Liu, Qi Cheng, Kwang-Ting Wang, Zhongrui Shang, Dashan Liu, Ming Department of Electrical and Electronic Engineering The University of Hong Kong Hong Kong Key Laboratory of Microelectronic Devices & Integrated Technology Institute of Microelectronics Chinese Academy of Sciences Beijing100029 China ACCESS - AI Chip Center for Emerging Smart Systems InnoHK Centers Hong Kong Science Park Hong Kong University of Chinese Academy of Sciences Beijing100049 China Frontier Institute of Chip and System Fudan University Shanghai 200433 China College of Computer Science and Technology Zhejiang University Zhejiang310027 China Department of Computer Science University of Pisa Largo B. Pontecorvo 3 Pisa56127 Italy Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Hong Kong

Recent years have witnessed an unprecedented surge of interest, from social networks to drug discovery, in learning representations of graph-structured data. However, graph neural networks, the machine learning models for handling graph-structured data, face significant challenges when running on conventional digital hardware, including von Neumann bottleneck incurred by physically separated memory and processing units, slowdown of Moore's law due to transistor scaling limit, and expensive training cost. Here we present a novel hardware-software co-design, the random resistor array-based echo state graph neural network, which addresses these challenges. The random resistor arrays not only harness low-cost, nanoscale and stackable resistors for highly efficient in-memory computing using simple physical laws, but also leverage the intrinsic stochasticity of dielectric breakdown to implement random projections in hardware for an echo state network that effectively minimizes the training cost thanks to its fixed and random weights. The system demonstrates state-of-the-art performance on both graph classification using the MUTAG and COLLAB datasets and node classification using the CORA dataset, achieving 34.2×, 93.2×, and 570.4× improvement of energy efficiency and 98.27%, 99.46%, and 95.12% reduction of training cost compared to conventional graph learning on digital hardware, respectively, which may pave the way for the next generation AI system for graph learning. Copyright © 2021, The Authors. All rights reserved.

关键词： Graphic methods

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ARCHITECTURE AND NETWORKING ISSUES IN SATELLITE systems FOR PERSONAL COMMUNICATIONS

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INTERNATIONAL JOURNAL OF SATELLITE COMMUNICATIONS 1994年第1期12卷 33-44页

作者： ANANASSO, F CAROSI, M Received the Electronics and Electrical Communications Degree from the University of Rome in 1973 after which he joined Selenia S.p.A (Rome) as a microwave designer in the Development Laboratory. He was involved in several military and civilian projects concerning microwave subsystems for Radar Avionics and Satellite Communications equipment. In 1981 he joined Telespazio S.p.A. (Rome) as Section Chief in the Space and Advanced Programs Division with responsibilities related to satellite payload and digital transmission channel design. In 1987 he was appointed Associate Professor of Digital Signal Processing at the University of Rome Tor Vergata Electronics Engineering Department. In 1990 he again joined Telespazio where he is now Director of the Advanced Studies and Experimentations Division. He has performed a number of studies for National and International Organizations including ESA EUTELSAT INMARSAT and INTELSAT is author of a Radio Systems book a Chapter (‘Digital transmission channel’) of the ‘Satellite Communication System Design’ book by Plenum Publishing (1993) and over 80 technical papers on communication systems and technology. Received the Electronics and Electrical Communications Degree from the University ‘La Sapienza’ of Rome Italy in 1987. From 1987 to 1990 he worked as a Research Engineer in the INFOCOM department of the University ‘La Sapienza’ of Rome carrying out research on design and performance evaluation of multiple access protocols particularly in the metropolitan area network and in the satellite fields. Since 1990 he has been working in the System Studies and Payload group of Telespazio S.p.A. Rome Italy. He is currently involved in projects sponsored by the European Space Agency and by INMARSAT for communications systems via satellite for mobiles both at study and R&D level. Mr Carosi is a member of the IEEE Communication Society.

The paper expands on some specific aspects of personal communications via satellite, often-although not necessarily-envisaging extensive use of 'small' satellites, using orbits not necessarily coinciding with the geostationary one (36,000 km), but rather at 1000-11,000 km altitude. One key point to be borne in mind is the issue of internetworking between satellite and terrestrial systems. Network integration should be carefully implemented in order to comply with ITU future public land mobile telecommunication systems (FPLMTS) requirements, also accepted in the European Telecommunication Standards Institute (ETSI) universal mobile telecommunication systems (UMTS). In addition to some insight into the technology of small satellites and associated orbits, architectures and networking aspects of most relevant systems providing personal communication services (PCS) are addressed in some detail, and potential applications highlighted. Frequency spectrum allocation is addressed in the light of the 1992 World Administrative Radio Conference (WARC-92), taking into account also multiple access problems and regulatory issues such as Federal Communications Commission (FCC) licensing and spectrum sharing debates. Some remarks on critical technologies and cost conclude the paper.

关键词： PERSONAL COMMUNICATIONS SMALL SATELLITES NETWORKING FREQUENCY SPECTRUM

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