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13th Asia-Pacific International Symposium on Electromagnetic Compatibility and Technical Exhibition, APEMC 2022

作者： Xing, Jiaqi Liang, Xinglei Fan, Yudi Zhang, Ling Li, Da Li, Er-Ping Zhejiang University College of Information Science & Electronic Engineering ZJU-UIUC Institute The Zhejiang Key Lab. of Advanced Micro/Nano Electronic Devices Smart Systems and Applications Hangzhou China

ISBN: (数字)9781665416719

ISBN: (纸本)9781665416719

In this paper, a double-layer structured absorptive material for solving the electromagnetic radiation problems in chip-packages is proposed. This low-profile absorber structure is composed of two flat layers where the lower layer is made of absorbing material with high relative permittivity, while the upper layer is made of material with low relative permittivity to better meet the requirements of wide impedance matching. This structure is firstly designed based on theories and full-wave simulations. Then it is fabricated and applied to different absorbing materials working in the frequency range of 20-40GHz to suppress the radiation in a practical chip-package model. Finally, the effectiveness and universality of this structure are verified through measurements of the radiation suppression effect with different absorbing material settings. © 2022 IEEE.

关键词： Electromagnetic compatibility

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Coupling Path Identification of Conducted EMI in a High-Voltage Discharging Circuit Using Near-Field Scanning 15

Coupling Path Identification of Conducted EMI in a High-Volt...

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15th International Conference on microwave and Millimeter Wave Technology, ICMMT 2023

作者： Xie, Yu-Ting Zhang, Ling Chen, Jun-Hui Li, Da Yang, Zhen-Zhong Li, Er-Ping Zhejiang University The Zhejiang Key Lab. of Advanced Micro/Nano Electronic Devices Smart Systems and Applications College of Information Science and Electronic Engineering Hangzhou China China Academy of Engineering Physics Institute of Electronic Engineering Mianyang China

ISBN: (纸本)9798350338874

Electromagnetic interference (EMI) problems are common and can severely affect the normal function of high-voltage discharge circuits. This paper investigates the EMI issue in a dual-channel high-voltage discharge system, where the high-voltage discharging current of one circuit causes the false triggering of the other low-voltage triggering circuit. To effectively analyze the EMI coupling path, the near-field scanning (NFS) technique is adopted to capture and visualize the current flow path in the discharging process. A useful subtraction method is proposed to eliminate the radiated EMI from the high-voltage discharging current and better visualize the conducted EMI current. According to the NFS results after the subtraction process, the conducted EMI current coupling path can be straightforwardly obtained, and the corresponding mitigation approaches are demonstrated to solve the EMI problem effectively. © 2023 IEEE.

关键词： Timing circuits

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Single link tracking scheme based on UWB localization

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Journal of systems engineering and Electronics 2009年第6期20卷 1207-1212页

作者： Xiao Zhu Xiong Hailiang Yu Quan Yi Kechu State Key Lab. of Integrated Service Networks Xidian Univ. Xi'an 710071 P. R. China School of Electronic Science and Engineering National Univ. of Defense Technology Changsha 410073 P. R. China Inst. of China Electronics Equipment System Engineering Corporation Beijing 100039 P. R. China

To investigate the low-complex and high-precise tracking method, a novel single link tracking scheme based on UWB localization is proposed. Two antenna arrays are settled at the fixed station （FS） to receive the UWB signal from mobile terminal （MT）, one FS is enough for the proposed scheme to track the MT. The UWB multipath detection algorithm for time difference of arrival （TDOA） estimation is presented and TDOA is thus adopted to estimate angle of arrival （AOA）, avoiding the synchronization and complicated beamforming for AOA. The impacts of localization errors, concluding multipath and non-line-of-sight （NLOS） errors are simulated for the proposed track scheme. It is demonstrated that the simulation curve can match the real target moving, and the feasibility of the proposed scheme is proved.

关键词： ultra-wide band localization single-link tracking angle of arrival estimation.

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A vision chip architecture for image recognition based on improved convolutional neural network

A vision chip architecture for image recognition based on im...

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IEEE Conference on Electron Devices and Solid-State Circuits

作者： Jijia Guo Xin'an Wang Jipan Huang Yue Tang Boyang Song Jipeng Liu Haifang Lu Zhiqiang Yang The Key Laboratory of Integrated Micro-system Science and Engineering Applications Peking University Shenzhen Graduate School Shenzhen China

ISBN: (纸本)9781509018314

In this paper, we propose a novel architecture of vision chip based on CNN (convolutional neural network) and improve the traditional LeNet-S algorithm. From the results of the experiment and performance, the accuracy of the proposed chip with LeNet-S increased to 97.29%. According to the characteristic of deep pipeline among independent layers of CNN, a 3-stage pipeline CCE (Convolutional Computing Element) is designed and also introduce the logical data flow in CCE array in detail. Finally the data compression and decompression circuit are added to the vision system to reduce the bandwidth of off-chip memory which is the highest cost in data transmission. The storage reduction is nearly to 30%, depending on the image processed.

关键词： Decision support systems Conferences Electron devices Solid state circuits Hafnium

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DeePMD-kit v3: A Multiple-Backend Framework for Machine Learning Potentials

arXiv

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arXiv 2025年

作者： Zeng, Jinzhe Zhang, Duo Peng, Anyang Zhang, Xiangyu He, Sensen Wang, Yan Liu, Xinzijian Bi, Hangrui Li, Yifan Cai, Chun Zhang, Chengqian Du, Yiming Zhu, Jia-Xin Mo, Pinghui Huang, Zhengtao Zeng, Qiyu Shi, Shaochen Qin, Xuejian Yu, Zhaoxi Luo, Chenxing Ding, Ye Liu, Yun-Pei Shi, Ruosong Wang, Zhenyu Bore, Sigbjørn Løland Chang, Junhan Deng, Zhe Ding, Zhaohan Han, Siyuan Jiang, Wanrun Ke, Guolin Liu, Zhaoqing Lu, Denghui Muraoka, Koki Oliaei, Hananeh Singh, Anurag Kumar Que, Haohui Xu, Weihong Xu, Zhangmancang Zhuang, Yong-Bin Dai, Jiayu Giese, Timothy J. Jia, Weile Xu, Ben York, Darrin M. Zhang, Linfeng Wang, Han School of Artificial Intelligence and Data Science Unversity of Science and Technology of China Hefei China AI for Science Institute Beijing100080 China DP Technology Beijing100080 China Academy for Advanced Interdisciplinary Studies Peking University Beijing100871 China State Key Lab of Processors Institute of Computing Technology Chinese Academy of Sciences Beijing100871 China University of Chinese Academy of Sciences Beijing China Baidu Inc. Beijing China Department of Computer Science University of Toronto TorontoON Canada Department of Chemistry Princeton University PrincetonNJ08540 United States University of Chinese Academy of Sciences Beijing100871 China State Key Laboratory of Physical Chemistry of Solid Surfaces iChEM College of Chemistry and Chemical Engineering Xiamen University Xiamen361005 China College of Integrated Circuits Hunan University Changsha410082 China State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Center for Smart Materials and Device Integration School of Material Science and Engineering Wuhan University of Technology Wuhan430070 China College of Science National University of Defense Technology Changsha410073 China Hunan Key Laboratory of Extreme Matter and Applications National University of Defense Technology Changsha410073 China ByteDance Research Beijing100098 China Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences Ningbo315201 China College of Materials Science and Opto-Electronic Technology University of Chinese Academy of Sciences Beijing100049 China Key Laboratory of Theoretical and Computational Photochemistry of Ministry of Education College of Chemistry Beijing Normal University Beijing100875 China Department of Geosciences Princeton University PrincetonNJ08544 United States Department of Applied Physics and Applied Mathematics Columbia University New YorkNY10027 United States IKKEM Fujian Xiamen361005 China Graduate

In recent years, machine learning potentials (MLPs) have become indispensable tools in physics, chemistry, and materials science, driving the development of software packages for molecular dynamics (MD) simulations and related applications. These packages, typically built on specific machine learning frameworks such as TensorFlow, PyTorch, or JAX, face integration challenges when advanced applications demand communication across different frameworks. The previous TensorFlow-based implementation of DeePMD-kit exemplified these limitations. In this work, we introduce DeePMD-kit version 3, a significant update featuring a multi-backend framework that supports TensorFlow, PyTorch, JAX, and PaddlePaddle backends, and demonstrate the versatility of this architecture through the integration of other MLPs packages and of Differentiable Molecular Force Field. This architecture allows seamless backend switching with minimal modifications, enabling users and developers to integrate DeePMD-kit with other packages using different machine learning frameworks. This innovation facilitates the development of more complex and interoperable workflows, paving the way for broader applications of MLPs in scientific research. Copyright © 2025, The Authors. All rights reserved.

关键词： Molecular dynamics

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A novel reuse technology of extended finite state machine at the transaction level based on UVM

A novel reuse technology of extended finite state machine at...

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2014 3rd International Conference on Electrical and Electronics engineering(ICEEE 2014)

作者： Zheng Xie Xin'an Wang Zhibin Lian Shanshan Yong Key Lab of Integrated Micro System Science Engineering and Application Shenzhen Graduate School of Peking University

The reuse of verification code and methodology is a major factor providing significant acceleration of the overall verification efficiency. The verification system reusability is supported by a flexible user interface, environment structure, testbench design, and verification methodology. In this contribution, we proposed a novel reuse technology of extended finite state machine at the transaction level to simultaneously implement scenario generator, scenario coverage collector, and reference model. Associated with the Application Program Interface(API) function library based on Universal Verification Methodology(UVM), an extended finite state machine was recorded by the state machine component in Verification Expert system(VES) toolbox to generate specific code automatically. The APIs are encapsulated in the UVM library as a part of reuse resource that can reduce the amount of code greatly, provide clear architecture for functional debugging, and produce test cases automatically.

关键词： verification reuse extended finite state machine UVM

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Development of a Mind-controlled Android Racing Game using a Brain Computer Interface(BCI)

Development of a Mind-controlled Android Racing Game using a...

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2014 4th IEEE International Conference on Information science and Technology

作者： Guobin Wu Zheng Xie Xin'an Wang Key Lab of Integrated Micro System Science Engineering and Application Shenzhen Graduate School of Peking University

Brain computer interface(BCI) is to provide a direct communication or control channel between human's brain and external devices. Recently, with the development of BCI, several research institutions and organizations have developed some games that are interacted with BCI to enrich user's experience. However, most of these games are only used in computers and just focus on the realization of direction strategies. To meet the potential increasing Android smartphone users' needs and explore interacting game processes with people's mental states, this paper designs an Android 3D racing game controlled by mental states like attention and meditation. In this application, with the feedbacks of a Bluetooth BCI called Mindset, the racing car's speed and part of game scenarios can be in the charge of user's mental states.

关键词： BCI Development of a Mind-controlled Android Racing Game using a Brain Computer Interface

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A Novel Four-Port Calibration Method for High Frequency On-Wafer S-parameter Measurement 15

A Novel Four-Port Calibration Method for High Frequency On-W...

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15th International Conference on microwave and Millimeter Wave Technology, ICMMT 2023

作者： Zhou, Jiefeng Zhang, Ling Chen, Junhui Li, Da Zhou, Ding Li, Er-Ping Zhejiang University College of Information Science and Electronic Engineering The Zhejiang Key Lab. of Advanced Micro/Nano Electronic Devices Smart Systems and Applications Hangzhou China High-Speed and High-Frequency Lab Huawei Technologies Co. Ltd Dongguan China

ISBN: (纸本)9798350338874

This paper proposes a novel four-port calibration method for on-wafer S-parameter measurement. Crosstalk terms can seriously deteriorate the measurement accuracy of high-frequency on-wafer systems. The proposed method can consider all error and crosstalk terms in on-wafer measurement using two ground-signal-signal-ground (GSSG) probes and ensure high calibration accuracy. Only six calibration standards are required to complete the four-port calibration by this method. The proposed method is verified by full-wave simulations up to 100 GHz. The simulation and calibration results are in great agreement, which proves the correctness and reliability of the proposed method. © 2023 IEEE.

关键词： Calibration

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MAC layer intelligent split-stream scheme for alleviating congestion in ad hoc networks

MAC layer intelligent split-stream scheme for alleviating co...

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2010 IEEE International Conference on Wireless Information Technology and systems, ICWITS 2010

作者： Wu, Chun Shao, Fei Wang, Lifeng Southwest University of Science and Technology Mianyang 621000 China State Key Lab. of Integrated Service Networks Xidian University Xi'an 710071 China Institute of China Electronic System Engineering Corporation Beijing 100141 China

ISBN: (纸本)9781424470914

Ad hoc networks, which are multi-hop and autonomous decentralized networks, have broad perspective in military communication, emergency communication, sensor networks and so on. Enhancing the performance of Ad hoc networks is one of the important objectives in the design of networks while congestion is a significant contributor that leads to network performance degradation. Many different congestion control strategies in transport layer, network layer, MAC layer and even cross-layer have been widely researched. Jian Liu et al. bring forward ATCP to improve traditional TCP congestion control in ad hoc networks [1]. Reference [2] proposes a MAC layer congestion control mechanism which mainly uses the congestion window to control the MAC's sending rate in 802.11 WLANs. D. Kliazovich and F. Granelli [3] research a crosslayer congestion control scheme, in which transport layer's data stream is adjust by the information of link layer, such as bandwidth and delay. The essential reason causing congestion is that user data rate exceeds link data transmit rate capability. Most of the congestion control strategies research how to control user data rate properly to achieve the goal. However, in this paper we investigate MAC layer intelligent split-stream scheme to improve data transmit rate capability for alleviating congestion in Ad hoc networks. In a practical Ad hoc network, due to terrain and interference, link qualities of the paths to some nodes are quite good while those to others are relatively bad. Single node conventionally selects good path expecting great performance of itself. However, multi-nodes all select good path often cause severe competition at MAC, which eventually lead to performance degradation of the whole network. © 2010 IEEE.

关键词： Ad hoc networks

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Development of a mind-controlled Android racing game using a brain computer interface (BCI)

Development of a mind-controlled Android racing game using a...

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International Conference on Information science and Technology (ICIST)

作者： Guobin Wu Zheng Xie Xin'an Wang Key Lab of Integrated Micro System Science Engineering and Application Shenzhen Graduate School of Peking University Shenzhen China

Brain computer interface (BCI) is to provide a direct communication or control channel between human's brain and external devices. Recently, with the development of BCI, several research institutions and organizations have developed some games that are interacted with BCI to enrich user's experience. However, most of these games are only used in computers and just focus on the realization of direction strategies. To meet the potential increasing Android smartphone users' needs and explore interacting game processes with people's mental states, this paper designs an Android 3D racing game controlled by mental states like attention and meditation. In this application, with the feedbacks of a Bluetooth BCI called Mindset, the racing car's speed and part of game scenarios can be in the charge of user's mental states.

关键词： Games Bluetooth Androids Humanoid robots Smart phones Message systems Payloads

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