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SID International Symposium Digest of Technical Papers, 2023

作者： Zhang, Jingyang Huang, Wei Liu, Zhaojun Department of Electronic and Electrical Engineering Southern University of Science and Technology Guangdong Shenzhen518055 China A State Key Laboratory of ASIC and System Shanghai Institute of Intelligent Electronics and Systems School of Microelectronics Fudan University Shanghai200433 China

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. © 2023, John Wiley and Sons Inc. All rights reserved.

关键词： Gallium nitride

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TERMS: Task management policies to achieve high performance for mixed workloads using surplus resources

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Journal of Parallel and Distributed Computing 2022年第0期170卷 74-85页

作者： Yu, Jinyu Tong, Wei Lv, Pengze Feng, Dan Wuhan National Laboratory for Optoelectronics Key Laboratory of Information Storage System Engineering Research Center of Data Storage Systems and Technology School of Computer Science and Technology Huazhong University of Science and Technology Ministry of Education of China Hubei Wuhan China

Resource contentions and performance interferences can lead to workload performance degradation in mixed-workload deployment clusters. Previous work guarantees the resource requirements of latency-sensitive tasks and reduces performance losses to batch jobs by reclaiming surplus resources from over-provisioned tasks. While the fragmentation of resources leads to a mismatch between provisioned resources and task requirements, resulting in high operation overheads and losses of task fairness. This paper proposes TERMS, the task management policies based on task relevance, resource distribution, and task fairness to achieve efficient and low-cost task management. TERMS mainly includes three types of management policies. The task scheduling policy can schedule new tasks according to task relevance. Task selection strategies select tasks for resource provisioning and task resumption based on resource requirements and task fairness. If necessary, the node selection strategy can be used to choose befitting target nodes based on task relevance and node resource information for task migration when eliminating straggler tasks. Evaluation results show that TERMS can further improve the performance of latency-sensitive services and batch jobs, reduce management overheads, and avoid operation failures. © 2022 Elsevier Inc.

关键词： Scheduling

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An Initial Perturbation Method for the Multiscale Singular Vector in Global Ensemble Prediction

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Advances in Atmospheric sciences 2024年第3期41卷 545-563页

作者： Xin LIU Jing CHEN Yongzhu LIU Zhenhua HUO Zhizhen XU Fajing CHEN Jing WANG Yanan MA Yumeng HAN School of Atmospheric Sciences Nanjing University of Information Science&TechnologyNanjing 210044China Chinese Academy of Meteorological Sciences Beijing 100081China CMA Earth System Modeling and Prediction Centre(CEMC) Beijing 100081China Key Laboratory of Earth System Modeling and Prediction of China Meteorological Administration Beijing 100081China Tianjin Meteorological Observatory Tianjin 300074China China Meteorological Administration Xiong’an Atmospheric Boundary Layer Key Laboratory Hebei 071799China

Ensemble prediction is widely used to represent the uncertainty of single deterministic Numerical Weather Prediction(NWP) caused by errors in initial conditions(ICs). The traditional Singular Vector(SV) initial perturbation method tends only to capture synoptic scale initial uncertainty rather than mesoscale uncertainty in global ensemble prediction. To address this issue, a multiscale SV initial perturbation method based on the China Meteorological Administration Global Ensemble Prediction system(CMA-GEPS) is proposed to quantify multiscale initial uncertainty. The multiscale SV initial perturbation approach entails calculating multiscale SVs at different resolutions with multiple linearized physical processes to capture fast-growing perturbations from mesoscale to synoptic scale in target areas and combining these SVs by using a Gaussian sampling method with amplitude coefficients to generate initial perturbations. Following that, the energy norm,energy spectrum, and structure of multiscale SVs and their impact on GEPS are analyzed based on a batch experiment in different seasons. The results show that the multiscale SV initial perturbations can possess more energy and capture more mesoscale uncertainties than the traditional single-SV method. Meanwhile, multiscale SV initial perturbations can reflect the strongest dynamical instability in target areas. Their performances in global ensemble prediction when compared to single-scale SVs are shown to(i) improve the relationship between the ensemble spread and the root-mean-square error and(ii) provide a better probability forecast skill for atmospheric circulation during the late forecast period and for short-to medium-range precipitation. This study provides scientific evidence and application foundations for the design and development of a multiscale SV initial perturbation method for the GEPS.

关键词： multiscale uncertainty singular vector initial perturbation global ensemble prediction system

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An oxide-based heterojunction optoelectronic synaptic device with wideband and rapid response performance

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Journal of Materials science & technology 2022年第28期123卷 159-167页

作者： Chunmei Li Jinyong Wang Dongyang Li Nasir Ilyas Zhiqiang Yang Kexin Chen Peng Gu Xiangdong Jiang Deen Gu Fucai Liu Yadong Jiang Wei Li School of Optoelectronic Science and Engineering University of Electronic Science and Technology of ChinaChengdu 611731China State Key Laboratory of Electronic Thin Films and Integrated Devices University of Electronic Science and Technology of ChinaChengdu 611731China Key Laboratory of Information Materials of Sichuan Province and School of Preparatory Education Southwest Minzu UniversityChengdu 610041China

With the rapid development of science and technology,the emergence of new application scenarios,such as robots,driverless vehicles and smart city,puts forward high requirements for artificial visual *** synaptic devices have attracted much attention due to their advantages in sensing,memory and computing *** this work,via band structure engineering and heterostructure designing,a heterojunction optoelectronic synaptic device based on Cu doped with n-type SrTiO_(3)(Cu:STO)film combined with p-type CuAlO_(2)(CAO)thin film was *** is found surprisingly that the optoelectronic device based on Cu:STO/CAO p-n heterojunction exhibits a rapid response of 2 ms,and that it has a wideband response from visible to near-infrared(NIR)***,a series of important synaptic functions,including excitatory postsynaptic current(EPSC),paired-pulse facilitation(PPF),shortterm potentiation(STP)to long-term potentiation(LTP)transition,learning experience behavior and image sharpening,have been successfully simulated on the *** importantly,the performance of the device remains still stable and reliable after several months which were stored at room temperature and atmospheric *** on these advantages,the optoelectronic synaptic devices demonstrated here provide great potential in the new generation of artificial visual systems.

关键词： Cu:STO/CAO heterojunction Optoelectronic synaptic devices Vis to NIR wideband Rapid response Artificial visual system

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A 28-nm 10.4-fJ/b Cryogenic embedded DRAM with 3T1C Gain Cell and MBIST at 4-Kelvin 21

A 28-nm 10.4-fJ/b Cryogenic embedded DRAM with 3T1C Gain Cel...

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21st International system-on-Chip Design Conference, ISOCC 2024

作者： Zheng, Jiapei Nie, Xinkai Zhi, Zhenghang Tang, Zhidong Liu, Qi Kou, Xufeng Chen, Chixiao Fudan University State Key Lab of Integrated Chips and Systems Frontier Institute of Chip and System Shanghai China ShanghaiTech University School of Information Science and Technology Shanghai China

ISBN: (纸本)9798350377088

Quantum error correction is essential for achieving large-scale quantum computing. Large-scale quantum state detection requires low-power embedded memory that can operate at 4K. Embedded Dynamic Random Access Memory is a strong candidate for cryogenic memory, offering high density and low power consumption. In this paper, we propose a cryogenic eDRAM using a 28nm CMOS process, which utilizes a 3T1C gain cell structure. Considering the short lifespan of the readout data, the refresh function of eDRAM is eliminated. Additionally, it integrates Memory Built-In Self-Test circuits for various testing purposes. We measured the performance of the eDRAM at 4K and achieved a read power of 4.9fJ/b and a write power of 15.9fJ/b. The median retention time reached 4.8ms, and the bandwidth reached 61.4Gb/s. © 2024 IEEE.

关键词： Quantum computers

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Double Acceleration of Distributed Nesterov Gradient Descent Algorithms by Exploiting Momentum 22

Double Acceleration of Distributed Nesterov Gradient Descent...

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22nd IEEE International Conference on Industrial Informatics, INDIN 2024

作者： Yi, Xin Yi, Jing-Wen Chai, Li School of Information Science and Engineering Wuhan University of Science and Technology Wuhan430081 China State Key Laboratory of Industrial Control Technology College of Control Science and Engineering Zhejiang University Hangzhou310027 China

ISBN: (纸本)9798331527471

It is well known that adding the momentum term can accelerate the convergence rate of optimization algorithms. In this paper, the momentum term is exploited to double accelerate the distributed Nesterov gradient descent algorithm without increasing the communication burden, and a novel momentum-based distributed Nesterov gradient descent (DNGD-M) algorithm is proposed. Using the method of inequality transformation, the convergence problem of the DNGD-M algorithm is converted into the stability problem of the extended system. Then, by analyzing the state transition matrix of the extended system, the convergence conditions of the proposed algorithm and the corresponding ranges of parameter values are obtained. Finally, numerical experiments are provided to verify the effectiveness of the proposed algorithm. © 2024 IEEE.

关键词： Optimization algorithms

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Ultrasonic phase extraction method for co-cable identification in coherent optical transmission systems

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Chinese Optics Letters 2024年第10期22卷 6-12页

作者： Hao Zhou Wen Zuo Yaojun Qiao Yan Zhao Bing Ye Chenglin Bai Hengying Xu State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and TelecommunicationsBeijing 100876China State Key Laboratory of Mobile Network and Mobile Multimedia Technology WDM System DepartmentZTE CorporationBeijing 100020China School of Physics Science and Information Engineering Liaocheng UniversityLiaocheng 252000China

An ultrasonic phase extraction method is proposed for co-cable identification without modifying transceivers in coherent optical transmission *** extract the ultrasonic phase,we apply an improved residual frequency offset compensation algorithm,an optimized unwrapping algorithm for mitigating phase noise induced by phase ambiguity between digital signal processing(DSP)blocks,and an averaging operation for improving the phase *** a 64-GBaud dualpolarization quadrature phase shift keying(DP-QPSK)simulation system,the phase sensitivity of the proposed method reaches 0.03 rad using lasers with 100-kHz linewidth and a 60-kHz ultrasonic source,with only 400 k-points(kpts)stored *** verified by an experiment under the same transmission conditions,the sensitivity reaches 0.39 rad,with 3 kpts of data stored and no averaging due to the equipment *** results have shown this method provides a better choice for low-cost and real-time co-cable identification in integrated sensing and communication optical networks.

关键词： co-cable identification optical fiber sensing integrated sensing and communication

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Infrared small target detection based on spatial attention density peaks searching

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Optoelectronics Letters 2025年第2期21卷 90-96页

作者： RAO Junmin LU Siyu LIU Shijian LI Fanming CAS Key Laboratory of Infrared System Detection and Imaging Technology Shanghai Institute of Technical PhysicsShanghai 200083China University of Chinese Academy of Sciences Beijing 100049China Shanghai Institute of Technical Physics Chinese Academy of SciencesShanghai 200083China School of Information Science and Technology ShanghaiTech UniversityShanghai 201210China

The detection of small targets poses a significant challenge for infrared search and tracking (IRST) systems,as they must strike a delicate balance between accuracy and *** this paper,we propose a detection algorithm based on spatial attention density peaks searching (SADPS) and an adaptive window selection ***,the difference-of-Gaussians (DoG) filter is introduced for preprocessing raw infrared ***,the image is processed by ***,an adaptive window selection scheme is applied to obtain window templates for the target scale ***,the small target feature is used to enhance the target and suppress the ***,the true targets are segmented through a *** experimental results show that compared with the seven state-of-the-art small targets detection baseline algorithms,the proposed method not only has better detection accuracy,but also has reasonable time consumption.

关键词： template searching Infrared

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Overcoming the Limits of Cross-Sensitivity:Pattern Recognition Methods for Chemiresistive Gas Sensor Array

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Nano-Micro Letters 2024年第12期16卷 285-341页

作者： Haixia Mei Jingyi Peng Tao Wang Tingting Zhou Hongran Zhao Tong Zhang Zhi Yang Key Lab Intelligent Rehabil&Barrier Free Disable(Ministry of Education) Changchun UniversityChangchun 130022People’s Republic of China Shanghai Key Laboratory of Intelligent Sensing and Detection Technology School of Mechanical and Power EngineeringEast China University of Science and TechnologyShanghai 200237People’s Republic of China National Key Laboratory of Advanced Micro and Nano Manufacture Technology Department of Micro/Nano ElectronicsSchool of Electronic Information and Electrical EngineeringShanghai Jiao Tong UniversityShanghai 200240People’s Republic of China State Key Laboratory of Integrated Optoelectronics College of Electronic Science and EngineeringJilin UniversityChangchun 130012People’s Republic of China

As information acquisition terminals for artificial olfaction,chemiresistive gas sensors are often troubled by their cross-sensitivity,and reducing their cross-response to ambient gases has always been a difficult and important point in the gas sensing *** recognition based on sensor array is the most conspicuous way to overcome the cross-sensitivity of gas *** is crucial to choose an appropriate pattern recognition method for enhancing data analysis,reducing errors and improving system reliability,obtaining better classification or gas concentration prediction *** this review,we analyze the sensing mechanism of crosssensitivity for chemiresistive gas *** further examine the types,working principles,characteristics,and applicable gas detection range of pattern recognition algorithms utilized in gas-sensing ***,we report,summarize,and evaluate the outstanding and novel advancements in pattern recognition methods for gas *** the same time,this work showcases the recent advancements in utilizing these methods for gas identification,particularly within three crucial domains:ensuring food safety,monitoring the environment,and aiding in medical *** conclusion,this study anticipates future research prospects by considering the existing landscape and *** is hoped that this work will make a positive contribution towards mitigating cross-sensitivity in gas-sensitive devices and offer valuable insights for algorithm selection in gas recognition applications.

关键词： Pattern recognition Sensor array Chemiresistive gas sensor Cross-sensitivity Artificial olfactory

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Variable-order fractional derivative rutting depth prediction of asphalt pavement based on the RIOHTrack full-scale track

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science China(information sciences) 2023年第5期66卷 196-214页

作者： Yu WANG Jiaojiao YAN Wei HUANG Leszek RUTKOWSKI Jinde CAO School of Mathematics Southeast University Jiangsu Provincial Key Laboratory of Networked Collective Intelligence Southeast University Intelligent Transportation System Research Center Southeast University Systems Research Institute of the Polish Academy of Sciences Institute of Computer Science AGH University of Science and Technology Information Technology Institute University of Social Sciences Yonsei Frontier Lab Yonsei University

Rutting deformation is typical damage to asphalt pavement and can be quantitatively described as the time-varying mechanical deformation feature of the asphalt mixture during the creep process. First,a nonlinear viscoelastic creep model is established based on the Caputo variable-order fractional *** fractional order in this model is not fixed and is defined as a time-varying function. The time-dependent mechanical properties of asphalt mixtures are efectively reflected. Based on the modified Burgers model, the variable-order function is revised to a linear form. Second, the variable-order fractional Burgers rutting model is obtained by fitting the test data of the RIOHTrack full-scale track. The Levenberg-Marquardt optimization algorithm is used to analyze the test data and the corresponding parameters to obtain more accurate and applicable variable-order fractional rutting mechanics and empirical models for diferent asphalt pavement structures. Finally, according to the classification of the pavement structure, structures III and VI are taken as examples. The rutting prediction and comparison results of several representative pavement structures are obtained to verify that the proposed rutting prediction model can also accurately predict all road sections of RIOHTrack. The new model is also compared with the rutting model of the mechanistic-empirical pavement design guide, the fractional-order Burgers rutting model, and the modified Burgers rutting model. The fitting results are evaluated using the determination coefficient R2. The results show that the variable-order fractional Burgers rutting model proposed in this study exhibits a better fit and is more applicable to describe the rutting deformation of asphalt pavement.

关键词： RIOHTrack full-scale track Caputo fractional derivative variable-order fractional modified Burgers model rutting prediction

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