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Smaller, faster, lower-power analog RRAM matrix computing circuits without performance compromise

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Science China(Information Sciences) 2025年

作者： Yubiao LUO Pushen ZUO Shiqing WANG Zhong SUN Ru HUANG school of Integrated Circuits Peking University Institute for Artificial intelligence Peking University Beijing Advanced Innovation Center for Integrated Circuits

Recently, the analog matrix computing (AMC) concept has been proposed for fast, efficient matrix operations, by configuring global feedback loops with crosspoint resistive memory arrays and operational amplifiers (OAs). The implementation of a general real-valued matrix (containing both positive and negative elements) is enabled by using a set of analog inverters,which, however, is considered inefficient regarding circuit compactness, power consumption, and temporal response. Here, with the assistance of the conductance compensation (CC) strategy to take full advantage of the inherent differential inputs of OAs,new AMC circuits without analog inverters are designed. Such a design saves the area occupation and power dissipation of analog inverters, and thus turns to be smaller and lower-power. Simulation results reveal that the new circuit also shows a faster response towards the steady state, thanks to the reduction of poles in the circuit, which, again, is contributed by the elimination of analog inverters. Along with all of these benefits, extensive simulations demonstrate that the CC-AMC circuits do not compromise the computing performance in terms of relative error caused by various non-ideal factors in the circuit.

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AI-Enhanced Secure Data Aggregation for Smart Grids with Privacy Preservation

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Computers, Materials & Continua 2025年第1期82卷 799-816页

作者： Congcong Wang Chen Wang Wenying Zheng Wei Gu school of Software Nanjing University of Information Science and TechnologyNanjing210044China school of Information Science and Engineering Zhejiang Sci-Tech UniversityHangzhou310018China State Key Laboratory of Public Big Data Guizhou UniversityGuiyang550025China school of Computer Science and Technology(school of Artificial intelligence) Zhejiang Sci-Tech UniversityHangzhou310018China school of Computer Science(school of Cyber Science and Engineering) Nanjing University of Information Science and TechnologyNanjing210044China

As smart grid technology rapidly advances,the vast amount of user data collected by smart meter presents significant challenges in data security and privacy *** research emphasizes data security and user privacy concerns within smart ***,existing methods struggle with efficiency and security when processing large-scale *** efficient data processing with stringent privacy protection during data aggregation in smart grids remains an urgent *** paper proposes an AI-based multi-type data aggregation method designed to enhance aggregation efficiency and security by standardizing and normalizing various data *** approach optimizes data preprocessing,integrates Long Short-Term Memory(LSTM)networks for handling time-series data,and employs homomorphic encryption to safeguard user *** also explores the application of Boneh Lynn Shacham(BLS)signatures for user *** proposed scheme’s efficiency,security,and privacy protection capabilities are validated through rigorous security proofs and experimental analysis.

关键词： Smart grid data security privacy protection artificial intelligence data aggregation

Exit options sustain altruistic punishment and decrease the second-order free-riders, but it is not a panacea

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Science China(Information Sciences) 2025年第1期68卷 278-291页

作者： Chen SHEN Zhao SONG Lei SHI Jun TANIMOTO Zhen WANG Faculty of Engineering Sciences Kyushu University school of Statistics and Mathematics Yunnan University of Finance and Economics school of Computing Engineering and Digital Technologies Teesside University school of Artificial intelligence OPtics and Electro Nics (iOPEN) Northwestern Polytechnical University

Why do humans punish free riders at their own expense? This behavior represents an evolutionary puzzle in human societies. This study explores the role of exit strategies in fostering altruistic punishment within evolutionary game theory. We extend the traditional prisoner's dilemma model by incorporating exiters, players who opt out for a small payoff while nullifying their opponent's payoff, and altruistic punishers who cooperate and punish non-cooperators. Our findings indicate that in well-mixed populations, exiters destabilize defection but do not promote altruistic punishment. In social networks, however,exiters enable altruistic punishment via cyclic dominance among altruistic punishers, defectors, and exiters. Notably, this cyclic dominance is sensitive to exit payoffs; adjustments can lead to cyclic dominance of non-punishing cooperators, defectors, and exiters, or to a bi-stable state between these two types of cyclic dominance. These results highlight the nuanced impact of exiters on altruistic punishment, emphasizing the need for careful incentivization of exit behavior. While exiters can support altruistic punishment in networked populations, their effectiveness is not a panacea and is highly sensitive to exit payoffs, indicating limits to the voluntary participation mechanism.

关键词： evolutionary game theory altruistic punishment coexistence cyclic dominance bi-stable

A dry-electrode enabled ECG-on-Chip with arrhythmia-aware data transmission

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Science China(Information Sciences) 2025年

作者： Xinzi XU Yanxing SUO Yang ZHAO Peiyi ZHOU Xiao HAN Qiao CAI Min WANG Jiajun YUAN Liebin ZHAO Yongfu LI Guoxing WANG Yong LIAN Department of Micro-Nano Electronics and MoE Key Lab of Artificial intelligence Shanghai Jiao Tong University Pediatric AI Clinical Application and Research Center Shanghai Engineering Research Center of Intelligence Pediatrics (SERCIP) Child Health Advocacy Institute Shanghai Children's Medical Center School of MedicineShanghai Jiao Tong University Shanghai Engineering Research Center of intelligence Pediatrics (SERCIP) Xin Hua Hospital Affiliate to Shanghai Jiao Tong University School of Medicine

Early detection and treatment of cardiovascular diseases (CVDs) can be significantly enhanced through the use of flexible wearable electrocardiogram (ECG) sensors, potentially reducing CVD-related mortality. This paper introduces an ECG-on-Chip (EoC) solution tailored for flexible ECG sensors, incorporating novel features to address common challenges in wearable ECG technology. The EoC integrates a chopper-stabilized capacitively-coupled instrumentation amplifier (CS-CCIA),ensuring a high common-mode rejection ratio (CMRR) and low noise performance. Performance is further boosted via a positive feedback loop (PFL) and a programmable gain amplifier (PGA) with shared on-chip calibration logic, which enhances input impedance and minimizes gain variability to ensure consistent algorithm performance. Additionally, a secondary chopping technique is employed to further reduce noise, achieving an input-referred noise level of 454 nVrms. The embedded algorithm within the EoC is designed to extract clinically meaningful features, facilitating robust real-time arrhythmia analysis. Fabricated using a 0.18μm CMOS process, the EoC consumes 14.9μW with a supply voltage of 1.2 V. The algorithm’s efficacy has been validated over 0.4 million heartbeats, demonstrating a sensitivity of over 99.7%for R-peak detection and 98.3%for arrhythmia analysis. To demonstrate practical application, the EoC has been integrated with a commercial Bluetooth low energy (BLE)transceiver, forming a wireless arrhythmia monitoring sensor equipped with dry electrodes. This system consumes 292.04μW in arrhythmia-aware transmission mode, supporting 13 days of operation with a 30 mAh thin-film battery.

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SensFL:Privacy-Preserving Vertical Federated Learning with Sensitive Regularization

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Computer Modeling in Engineering & Sciences 2025年第1期142卷 385-404页

作者： Chongzhen Zhang Zhichen Liu Xiangrui Xu Fuqiang Hu Jiao Dai Baigen Cai Wei Wang school of Automation and intelligence Beijing Jiaotong UniversityBeijing100044China Shuohuang Railway Development Co. Ltd.National Energy GroupCangzhou062350China Beijing Key Laboratory of Security and Privacy in Intelligent Transportation School of Computer Science and TechnologyBeijing Jiaotong UniversityBeijing100044China

In the realm of Intelligent Railway Transportation Systems,effective multi-party collaboration is crucial due to concerns over privacy and data *** Federated Learning(VFL)has emerged as a promising approach to facilitate such collaboration,allowing diverse entities to collectively enhance machine learning models without the need to share sensitive training ***,existing works have highlighted VFL’s susceptibility to privacy inference attacks,where an honest but curious server could potentially reconstruct a client’s raw data from embeddings uploaded by the *** vulnerability poses a significant threat to VFL-based intelligent railway transportation *** this paper,we introduce SensFL,a novel privacy-enhancing method to against privacy inference attacks in ***,SensFL integrates regularization of the sensitivity of embeddings to the original data into the model training process,effectively limiting the information contained in shared *** reducing the sensitivity of embeddings to the original data,SensFL can effectively resist reverse privacy attacks and prevent the reconstruction of the original data from the *** experiments were conducted on four distinct datasets and three different models to demonstrate the efficacy of *** results show that SensFL can effectively mitigate privacy inference attacks while maintaining the accuracy of the primary learning *** results underscore SensFL’s potential to advance privacy protection technologies within VFL-based intelligent railway systems,addressing critical security concerns in collaborative learning environments.

关键词： Vertical federated learning privacy defenses

High-quality environmentally friendly photovoltaic CZTSSe thin films prepared by Mg doping

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Optoelectronics Letters 2025年

作者： Zhang Zihe Xue Yuming Dai Hongli Wang Luoxin Bai Xin Hu Xiaofeng Institute of New Energy intelligence Equipment， school of Integrated Circuit Science and Engineering， Tianjin University of Technology

CZTSSe thin films were prepared using the sol-gel method， and the crystal morphology of the CZTSSe films were improved by Mg doping. The prepared films were characterized using techniques such as XRD， Raman spectroscopy， SEM， and UV-Vis spectroscopy. The results showed that Mg replaced Zn in the CZTSSe lattice， forming the CMZTSSe phase. As the Mg doping concentration increased， the grain size initially increased and then decreased. After Mg doping， no additional impurities are *** the Mg doping concentration was 0.1， the film exhibited the optimal crystal morphology， narrowest peak width， largest grain size， the best light absorption properties smoothest and most compact surface， which is favorable for use as an absorber layer in solar cells.

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The effects of selenization conditions on the microstructure and optoelectronic properties of CZTSSe absorber layers prepared by the sol-gel method

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Optoelectronics Letters 2025年

作者： BAI Xin XUE Yuming DAI Hongli WANG Luoxin BAI Xinfeng HU Xiaofeng Institute of New Energy intelligence Equipment， school of Integrated Circuit Science and Engineering， Tianjin University of Technology

Cu2ZnSnSSe4（CZTSSe） thin film solar cells， with adjustable bandgap and rich elemental content， hold promise in next-gen photovoltaics. Crystalline quality is pivotal for efficient light absorption and carrier transport. During the post-selenization process， understanding crystal growth mechanisms， and improving layer quality are essential. We explored the effects of ramp rate and annealing temperature on CZTSSe films， using XRD， Raman， SEM， and UV-Vis. The optimal performance occurred at 25.25 ℃/min ramp rate and 530℃ annealing. This led to smoother surfaces， higher density， and larger grains. This condition produced a single-layer structure with large grains， no secondary phases， and a 1.14 eV bandgap， making it promising for photovoltaic applications. The study has highlighted the effect of selenization conditions on the characteristics of the CZTSSe absorber layer and has provided valuable information for developing CZTSSe thin film solar cells.

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Improved model for defect detection in photovoltaic cells based on Yolov5

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Optoelectronics Letters 2025年

作者： BAI Xinfeng XUE Yuming DAI Hongli WANG Luoxin BAI Xin HU Xiaofeng Institute of New Energy intelligence Equipment， school of Integrated Circuit Science and Engineering， Tianjin University of Technology

In order to meet the requirements of recognition speed and accuracy for complex photovoltaic (PV) cell defect detection tasks， this paper proposed an improvement strategy based on the Yolov5 network model. First， the model's ability to localize defects was enhanced by adding shallow feature inputs to strengthen the model's fusion of shallow feature information; second， the Squeeze-and-excitation (SE) attention mechanism was introduced to expand the receptive field and strengthen the dependency between feature channels; finally， a smoothing downsampling module was constructed to replace the convolutional sampling， which reduced the loss of information while retaining the important features. The experimental results show that the Yolov5 model based on this improved strategy achieved an average accuracy of 92.06% in the multiclassification defect detection task， and the average recognition speed reached 25.31 frames per second (FPS)， which took into account the requirements of performance and real-time performance， and can satisfy the needs of PV cell defect detection in industrial scenarios.

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Enhancing the performance of the absorber of Cu2ZnSn（S， Se）4 photovoltaic materials by doping Cd2+

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Optoelectronics Letters 2025年

作者： YANG Shuqi XUE Yuming DAI Hongli WANG Luoxin ZHANG Haiwei BAI Xin Institute of New Energy intelligence Equipment， school of Integrated Circuit Science and Engineering， Tianjin University of Technology

Cationic doping is considered to be an effective way to improve the efficiency of Cu2ZnSn（S，Se）4（CZTSSe） photovoltaic materials. To improve the quality of the absorption layer of the crystal film， CZTSSe film was doped with some Cd to change the ratio of Cd and Zn in the precursor solution. XRD， Raman， SEM， UV-Vis spectroscopy， and other results showed that Cd successfully replaced Zn in the crystal lattice during post-selenization. The formation of harmful Zn-related defects was reduced， the grain size and crystallinity of the films were significantly increased， and the photoelectric properties of the films such as crystal quality and structural morphology were improved. As the Cd/（Cd+Zn） ratio increased from 0 to 0.35， the band gap of CZCTSSe decreased to 1.02eV. When Cd/（Cd+Zn）=0.25， the crystallinity and grain size reached the best value， and the film surface was smooth and dense， which inhibited the formation of the second phase on the surface of *** theoretical basis and experimental results showed that proper Cd doping can promote the growth of grain， so that compact CZCTSSe films with larger grain sizes and fewer holes could be prepared.

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