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2023 International Symposium of Electronics Design Automation, ISEDA 2023

作者： Liang, Yingzong Zhang, Dongrong Chen, Yanning Zhao, Dongyan Shao, Yali Wang, Kai Beijing Smart-Chip Microelectronics Technology Co. Ltd. State Grid Key Laboratory of Power Industrial Chip Reliability Technology Beijing China Zhongguancun Laboratory Beijing China

ISBN: (纸本)9798350304510

Zener diode is widely used in IC design, and its breakdown voltage is an important electrical parameter. However, since the Zener diode has been designed and optimized through the use of a design of experiment (DOE) approach based on TCAD simulations, a large amount of I-V characteristics curves are generated, and then processed by manual method for extracting the breakdown voltages, which is time consuming and error prone. In this paper, a novel numerical method is proposed, mainly including data filling, data smoothing, and anomaly detection. It is successfully applied to automatically extract the breakdown voltages with low human intervention and excellent repeatability. © 2023 IEEE.

关键词： Numerical methods

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Adaptive Mesh Refinement for Heat Transfer Problems in Electronic Devices

Adaptive Mesh Refinement for Heat Transfer Problems in Elect...

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2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023

作者： Wang, Yin-Da Zhan, Qiwei Liang, Ying-Zong Yin, Wen-Yan College of Isee Zhejiang University Hangzhou China State Grid Key Laboratory Beijing Smart-Chip Microelectronics Technology Beijing China

ISBN: (纸本)9781733509657

This paper proposes an efficient adaptive mesh refinement (AMR) algorithm for heat transfer problems in electronic devices. Such algorithm doesn't pay attention to the global error in our entire domain. Instead, a goal-oriented approach is introduced to estimate its influence on our specific metrics. In this vein, unnecessary refinement for non-contributed elements are eliminated. With the intention to elucidate this algorithm, a surface mount package is modeled to show its capability in convergence behaviors. © 2023 Applied Computational Electromagnetics Society (ACES).

关键词： Heat transfer

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Effective Neumann Boundary Condition for Boundary Layer at Ohmic Contact

Effective Neumann Boundary Condition for Boundary Layer at O...

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2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023

作者： Zhang, Nian-En Wang, Yin-Da Chi, Bo-Ming Yin, Wen-Yan College of Isee Zhejiang University Hangzhou China State Grid Key Laboratory Beijing Smart-Chip Microelectronics Technology Beijing China

ISBN: (纸本)9781733509657

The ohmic contacts in semiconductor simulation lead to thin boundary layers with sharp peaks in simulations. It stems from singular logarithmic quasi-Fermi potential function. This paper proposes an effective Neumann condition. Such a boundary condition reduces computational cost and retains rather high accuracy simultaneously. This method is tested with a PN junction and validated by the accuracy of terminal current. © 2023 Applied Computational Electromagnetics Society (ACES).

关键词： Ohmic contacts

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Optimizing Wireless Resource Allocation for Enhanced Semantic Communication System Reliability with Mismatched Background Knowledge Bases 24

Optimizing Wireless Resource Allocation for Enhanced Semanti...

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24th IEEE International Conference on Communication technology, ICCT 2024

作者： Sun, Tianhang Zhou, Yu Feng, Lei Zhou, Fanqin Xu, Kunpeng Wang, Xianhui Beijing University of Posts and Telecommunications The State Key Laboratory of Networking and Switching Technology Beijing China Beijing Smart-Chip Microelectronics Technology Company Ltd Beijing China

ISBN: (纸本)9798350363760

Semantic communication is considered as a breakthrough beyond the Shannon paradigm, with the objective of achieving maximal semantic fidelity while minimizing the utilization of communication resources. In contrast to Shannon's information theory, the fidelity of semantic communication is contingent upon shared background knowledge. Any mismatch between the background knowledge bases (KBs) of the transmitter and receiver can impede the receiver from decoding accurate semantic information. Consequently, resource allocation for semantic communication, taking into account the degree of knowledge matching, becomes a pivotal issue to ensure the reliability and efficiency of semantic transmission. In this paper, we establish a wireless semantic communication system tailored for text data transmission under conditions of mismatched background KBs. We introduce a novel metric, termed the Semantic Communication System Reliability (SCSR), which integrates semantic reliability with transmission reliability. Furthermore, we employ a deep reinforcement learning (DRL) algorithm to intelligently and dynamically allocate communication resources among users, with the ultimate goal of maximizing the system reliability of the wireless semantic communication system. Comparative experiments conducted subsequently confirm the advantages of the proposed algorithm in enhancing SCSR performance. © 2024 IEEE.

关键词： Deep reinforcement learning

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Accelerated Extraction of Parasitic Capacitance in Metal Interconnects using Floating Random Walk Method

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Applied Computational Electromagnetics Society Journal 2024年第11期39卷 970-979页

作者： Zhao, Dongyan Chen, Yanning Liu, Fang Zhao, Yang Shao, Yali Zhang, Dong Pan, Yucheng Meng, Xiangyu State Grid Key Laboratory of Power Industrial Chip Reliability Technology Beijing Smartchip Microelectronics Technology Co. Ltd. 100192 China School of Electronics and Information Technology Sun Yat-sen University 510006 China

This paper presents a novel and efficient approach for the rapid extraction of parasitic capacitance in metal interconnects of large-scale integrated circuit (IC) layouts. By conducting detailed electromagnetic field simulations, we propose a streamlined method that significantly reduces both computational complexity and runtime, making the extraction process more efficient. At the heart of this approach is the use of the floating random walk (FRW) algorithm, which precisely estimates both self-capacitance and mutual capacitance of conductors. A distinguishing feature of this method is the incorporation of error thresholds, which provide a dynamic mechanism to adjust the trade-off between extraction speed and accuracy. This flexibility allows the method to adapt to varying layout complexities while maintaining a high level of precision. Experimental results reveal that, compared to traditional electromagnetic simulation tools such as ANSYS Maxwell, the proposed method achieves up to 120 times faster capacitance extraction, with accuracy deviations contained within 20%. © ACES.

关键词： Integrated circuit layout

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TCB Intrusion Detection Method Based on Data Enhancement 10th

TCB Intrusion Detection Method Based on Data Enhancement

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10th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2024

作者： Ye, Yunlong Zhou, Lin Hu, Xiaobo Wang, Yong Department of Computer Science and Technology Shanghai University of Electric Power Shanghai China State Grid Key Laboratory of Power Industrial Chip Design and Analysis Technology Beijing Smart-Chip Microelectronics Technology Co. Ltd. Beijing China

ISBN: (纸本)9789819787456

Within the online sphere, intrusion detection technology plays an increasingly vital role in safeguarding our information security. The current research on intrusion detection mainly focuses on two aspects: machine learning and deep learning, but it cannot be ignored that data balance also affects the efficiency of intrusion detection. The vast majority of current datasets are imbalanced, and during the training process, the model ignores a few class samples, which affects the efficiency of intrusion detection. Therefore, in response to this issue, this article introduces a novel intrusion detection model that integrates Transformer and CNN-BiLSTM, leveraging WGAN-enhanced data. This model first uses Transformer for global capture, establishes global connections, then uses CNN-BiLTM to capture spatial and temporal features, and finally uses Softmax classifier for classification. The dataset used in this article is NSL-KDD. The experimental results show that after data balance processing, the accuracy of two classification tasks of TCB model reaches 92.19%, which is at least 2.24% higher than other models, and the accuracy of multi classification tasks reaches 82.94%, which is at least 1.03% higher than other models. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Network intrusion

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Fully Decoupled Branch Energy Balancing Control Method for Modular Multilevel Matrix Converter Based on Sequence Circulating Components

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CSEE Journal of Power and Energy Systems 2024年第1期10卷 235-247页

作者： Zexin Zhao Weijiang Chen Zhichang Yang Guoliang Zhao Bin Han Yunfei Xu Nianwen Xiang Shulai Wang China Electric Power Research Institute Beijing 100192China State Grid Corporation of China Beijing 100031China State Grid Smart Grid Research Institute Beijing 102209China State Key Laboratory of Advanced Power Transmission Technology Global Energy Interconnection Research InstituteBeijing 102211China Hefei University of Technology Hefei 230009China

The modular multilevel matrix converter(M3C)is a potential frequency converter for low-frequency AC ***,capacitor voltage control of high-voltage and largecapacity M3C is more difficult,especially for voltage balancing between *** solve this problem,this paper defines sequence circulating components and theoretically analyzes the influence mechanism of different sequence circulating components on branch capacitor voltage.A fully decoupled branch energy balancing control method based on four groups of sequence circulating components is *** method can control capacitor voltages of nine branches in horizontal,vertical and diagonal *** influences of both circulating current and voltage,a cross decoupled control is designed to improve control *** results are taken from a low-frequency transmission system based on PSCAD/EMTDC,and effectiveness and precision of the proposed branch energy balancing control method are verified in the case of nonuniform parameters and an unbalanced power system.

关键词： Branch energy balancing control decoupled control low-frequency AC transmission modular multilevel matrix converter(M3C) sequence circulating components

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A Physics-Informed Neural Networks Algorithm for Simulating Semiconductor Devices

A Physics-Informed Neural Networks Algorithm for Simulating ...

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2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023

作者： Cao, Bo Wang, Yin-Da Zhang, Nian-En Liang, Ying-Zong Yin, Wen-Yan Zhejiang University Collage of Informational Science and Electronic Engineering Hangzhou China Beijing Smart-Chip Microelectronics Technology State Grid Key Laboratory Beijing China

ISBN: (纸本)9781733509657

This paper proposes a physics-informed neural networks (PINNs) algorithm for simulating semiconductor devices. It is built on drift-diffusion model (DDM) framework and aiming at describing the behavior of carriers in semiconductor devices. Such algorithm is useful for the development of semiconductor devices with high performance and reliability. In our proposed PINNs algorithm, a surrogate model for coupled drift-diffusion model with artificial neural network (ANN) is built, with backpropagation algorithm used for error computation, and Adam algorithm for parameter updating. Our numerical experiments validate its accuracy as well as convergence rate. In addition, its capability for dealing with local nonlinear problems is addressed, which is a significant potential for its further extension and application. © 2023 Applied Computational Electromagnetics Society (ACES).

关键词： Neural networks

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A Lightweight Edge Network Intrusion Detection System Based on MobileVit 10th

A Lightweight Edge Network Intrusion Detection System Based ...

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10th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2024

作者： Yang, Xiaobo Hu, Xiaobo Li, Chao Zhou, Lin Wang, Yong School of Computer Science and Technology Shanghai University of Electric Power Shanghai China State Grid Key Laboratory of Power Industrial Chip Design and Analysis Technology Beijing Smart-Chip Microelectronics Technology Co. Ltd. Beijing China State Grid Digital Technology Holding Co. Beijing China

ISBN: (纸本)9789819787487

Aiming at the current problems of limited computational and storage resources in edge networks, poor robustness of traditional machine learning algorithms, and the large resource overhead required to deploy deep learning algorithms to edge networks, we proposes a lightweight intrusion detection system based on MobileViT, which can detect cyber-attack traffic in edge networks with little resource consumption. The system uses smote to balance the dataset to make the detection model more sensitive to a small number of samples, and then transforms the network traffic into a custom grey scale graph, which reduces the time of transformation and improves the accuracy of the model, which is then fed into a modified minor-MobileViT network for training, and then tested in a test set. Experimental results with relatively few model parameters show that our proposed method has good detection performance, while the model requires less storage space and has low computational overhead, making it suitable for network traffic detection and classification under edge networks. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Network intrusion

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A Equivalent Circuit for Rapid Reproduction of IGBT Transient Thermal Impedance Graph

A Equivalent Circuit for Rapid Reproduction of IGBT Transien...

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2023 International Symposium of Electronics Design Automation, ISEDA 2023

作者： Liang, Yingzong Chen, Yanning Zhao, Dongyan Shao, Yali Liu, Fang Xiao, Chao Li, Yongfu Beijing Smart-Chip Microelectronics Technology Co Ltd State Grid Key Laboratory of Power Industrial Chip Reliability Technology Beijing China State Grid Chongqing Electric Power Company Electric Power Research Institute Chongqing China

ISBN: (纸本)9798350304510

The thermal characteristics of insulated gate bipolar transistor (IGBT) module is attracted much attention, since the production consistency and reliability are affected when IGBT works in high temperature environment. Transient thermal impedance is better than steady-state thermal resistance for thermal characterization of the IGBT due to the reason that the IGBT mostly operates in pulsed current mode rather than in DC mode or continuous current mode. In this paper, a simple equivalent circuit is proposed and built in MATLAB Simulink for rapid reproduction of IGBT transient thermal impedance graph given in production datasheets. The reproduced transient thermal impedance graph can help engineers to calculate the current limit of a semiconductor device for different pulse durations. © 2023 IEEE.

关键词： Simulink

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