Science China Information Sciences最新文献_第6页

A 56 Gb/s DAC-DSP-based transmitter with adaptive retiming clock optimization using inverse-PR-based PD achieving 8-UI converge time in 28-nm CMOS 基于 DAC-DSP 的 56 Gb/s 发射器，采用基于反 PR 的 PD 进行自适应重定时时钟优化，在 28-nm CMOS 中实现 8-UI 收敛时间

IF 8.8 2区计算机科学

Science China Information Sciences Pub Date : 2024-07-17 DOI: 10.1007/s11432-024-4072-9

Shubin Liu, Chenxi Han, Xiaoteng Zhao, Yuhao Zhang, Shixin Li, Hongzhi Liang, Lihong Yang, Zhangming Zhu

引用次数: 0

A 10-GS/s 8-bit 2× time interleaved hybrid ADC with λ/4 reference T-Line sharing technique 采用 λ/4 基准 T 线共享技术的 10-GS/s 8 位 2× 时间交错混合 ADC

IF 8.8 2区计算机科学

Science China Information Sciences Pub Date : 2024-07-16 DOI: 10.1007/s11432-024-4082-9

Zhangming Zhu, Jun Chang, Hongzhi Liang, Ruixue Ding, Shubin Liu

引用次数: 0

A CSP-based retraining framework for motor imagery based brain-computer interfaces 基于 CSP 的运动图像脑机接口再训练框架

IF 8.8 2区计算机科学

Science China Information Sciences Pub Date : 2024-07-16 DOI: 10.1007/s11432-024-4081-x

Xue Jiang, Lubin Meng, Xinru Chen, Dongrui Wu

引用次数: 0

Tuning the ferroelectricity of Hf0.5Zr0.5O2 with alloy electrodes 用合金电极调节 Hf0.5Zr0.5O2 的铁电性

IF 8.8 2区计算机科学

Science China Information Sciences Pub Date : 2024-07-15 DOI: 10.1007/s11432-023-3932-2

Keqin Liu, Bingjie Dang, Zhiyu Yang, Teng Zhang, Zhen Yang, Jinxuan Bai, Zelun Pan, Ru Huang, Yuchao Yang

{"title":"Tuning the ferroelectricity of Hf0.5Zr0.5O2 with alloy electrodes","authors":"Keqin Liu, Bingjie Dang, Zhiyu Yang, Teng Zhang, Zhen Yang, Jinxuan Bai, Zelun Pan, Ru Huang, Yuchao Yang","doi":"10.1007/s11432-023-3932-2","DOIUrl":"https://doi.org/10.1007/s11432-023-3932-2","url":null,"abstract":"Tuning ferroelectricity of Hf0.5Zr0.5O2 is crucial for facilitating its practical applications in various fields, including in-memory and neuromorphic computing. Previous studies have revealed that the electrodes have a significant influence on ferroelectricity, and changing electrode materials can realize different but discrete ferroelectric polarization values. Here, we introduce an alloy-electrode method, in order to achieve gradual and accurate modulation of ferroelectric polarization, especially useful for matching the polarization charges at the interface of ferroelectric insulators and ferroelectric semiconductors. Au and W electrodes are chosen as baselines for realizing weak and strong ferroelectric polarization, where the intermediate states can be achieved by adjusting the ratio of metals in the Au-W alloy. To demonstrate the generality of this approach, the Cu-W alloy electrode is also realized for tuning ferroelectric polarization. The effect of alloy electrodes on device leakage current, endurance, and retention is evaluated. In addition, the temperature stability of ferroelectric capacitors is tested, where limited changes in both remnant polarization and coercive voltages are observed, showing the great potential of the ferroelectric hafnium oxide. Such gradual modulation of ferroelectric polarization could facilitate the application of Hf0.5Zr0.5O2 in in-memory and neuromorphic computing.","PeriodicalId":21618,"journal":{"name":"Science China Information Sciences","volume":"55 1","pages":""},"PeriodicalIF":8.8,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141740295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A column-shared histogramming TDC with pixel-to-pixel coincidence detection and compact analog counters for Flash LiDAR sensor 用于闪存激光雷达传感器的列共享直方图 TDC，具有像素到像素重合检测功能和紧凑型模拟计数器

IF 8.8 2区计算机科学

Science China Information Sciences Pub Date : 2024-07-10 DOI: 10.1007/s11432-024-4079-x

Haoran Wu, Kaiming Nie, Jiangtao Xu, Qinglong Lin, Yingying Jiao

引用次数: 0

State estimation for delayed switched positive systems: delayed radius approach 延迟开关正系统的状态估计：延迟半径法

IF 8.8 2区计算机科学

Science China Information Sciences Pub Date : 2024-07-04 DOI: 10.1007/s11432-023-3980-0

Weizhong Chen, Zhongyang Fei, Xudong Zhao, Zheng-Guang Wu

{"title":"State estimation for delayed switched positive systems: delayed radius approach","authors":"Weizhong Chen, Zhongyang Fei, Xudong Zhao, Zheng-Guang Wu","doi":"10.1007/s11432-023-3980-0","DOIUrl":"https://doi.org/10.1007/s11432-023-3980-0","url":null,"abstract":"In this paper, an interval estimation scheme is developed for delayed switched positive systems (DSPS) with mode-dependent average dwell time switching. A lossless zonotopic estimation approach is proposed for the delayed intersection zonotope with the positive generator matrix. First, considering the existence of asynchronism between the system mode and the correction matrix mode, the mismatched intersection zonotope is constructed for DSPS to verify the consistency between the system model and outputs. Then, by utilizing the introduced radius definitions, the ℓ∞ performance is addressed to optimize the size of delayed intersection zonotopes. Subsequently, we present a joint-design approach of switching signals and the mode-dependent correction matrix by constructing positive generator matrix-based delayed radius functions. Furthermore, guaranteed nonnegative state bounds are derived for the considered DSPS based on the proposed lossless zonotopic estimation criteria. Finally, detailed simulations are conducted to validate the feasibility and superiority of the developed methods.","PeriodicalId":21618,"journal":{"name":"Science China Information Sciences","volume":"1 1","pages":""},"PeriodicalIF":8.8,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141784756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

HEN: a novel hybrid explainable neural network based framework for robust network intrusion detection HEN：基于混合可解释神经网络的新型鲁棒网络入侵检测框架

IF 8.8 2区计算机科学

Science China Information Sciences Pub Date : 2024-06-28 DOI: 10.1007/s11432-023-4067-x

Wei Wei, Sijin Chen, Cen Chen, Heshi Wang, Jing Liu, Zhongyao Cheng, Xiaofeng Zou

{"title":"HEN: a novel hybrid explainable neural network based framework for robust network intrusion detection","authors":"Wei Wei, Sijin Chen, Cen Chen, Heshi Wang, Jing Liu, Zhongyao Cheng, Xiaofeng Zou","doi":"10.1007/s11432-023-4067-x","DOIUrl":"https://doi.org/10.1007/s11432-023-4067-x","url":null,"abstract":"With the rapid development of network technology and the automation process for 5G, cyber-attacks have become increasingly complex and threatening. In response to these threats, researchers have developed various network intrusion detection systems (NIDS) to monitor network traffic. However, the incessant emergence of new attack techniques and the lack of system interpretability pose challenges to improving the detection performance of NIDS. To address these issues, this paper proposes a hybrid explainable neural network-based framework that improves both the interpretability of our model and the performance in detecting new attacks through the innovative application of the explainable artificial intelligence (XAI) method. We effectively introduce the Shapley additive explanations (SHAP) method to explain a light gradient boosting machine (LightGBM) model. Additionally, we propose an autoencoder long-term short-term memory (AE-LSTM) network to reconstruct SHAP values previously generated. Furthermore, we define a threshold based on reconstruction errors observed during the training phase. Any network flow that surpasses the specified threshold is classified as an attack flow. This approach enhances the framework’s ability to accurately identify attacks. We achieve an accuracy of 92.65%, a recall of 95.26%, a precision of 92.57%, and an F1-score of 93.90% on the dataset NSL-KDD. Experimental results demonstrate that our approach generates detection performance on par with state-of-the-art methods.","PeriodicalId":21618,"journal":{"name":"Science China Information Sciences","volume":"125 1","pages":""},"PeriodicalIF":8.8,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141515954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Explainable-AI-based two-stage solution for WSN object localization using zero-touch mobile transceivers 利用零接触移动收发器，为 WSN 物体定位提供基于可解释人工智能的两阶段解决方案

IF 8.8 2区计算机科学

Science China Information Sciences Pub Date : 2024-06-28 DOI: 10.1007/s11432-023-3968-9

Kai Fang, Junxin Chen, Han Zhu, Thippa Reddy Gadekallu, Xiaoping Wu, Wei Wang

{"title":"Explainable-AI-based two-stage solution for WSN object localization using zero-touch mobile transceivers","authors":"Kai Fang, Junxin Chen, Han Zhu, Thippa Reddy Gadekallu, Xiaoping Wu, Wei Wang","doi":"10.1007/s11432-023-3968-9","DOIUrl":"https://doi.org/10.1007/s11432-023-3968-9","url":null,"abstract":"Artificial intelligence technology is widely used in the field of wireless sensor networks (WSN). Due to its inexplicability, the interference factors in the process of WSN object localization cannot be effectively eliminated. In this paper, an explainable-AI-based two-stage solution is proposed for WSN object localization. In this solution, mobile transceivers are used to enlarge the positioning range and eliminate the blind area for object localization. The motion parameters of transceivers are considered to be unavailable, and the localization problem is highly nonlinear with respect to the unknown parameters. To address this, an explainable AI model is proposed to solve the localization problem. Since the relationship among the variables is difficult to fully include in the first-stage traditional model, we develop a two-stage explainable AI solution for this localization problem. The two-stage solution is actually a comprehensive consideration of the relationship between variables. The solution can continue to use the constraints unused in the first-stage during the second-stage, thereby improving the performance of the solution. Therefore, the two-stage solution has stronger robustness compared to the closed-form solution. Experimental results show that the performance of both the two-stage solution and the traditional solution will be affected by numerical changes in unknown parameters. However, the two-stage solution performs better than the traditional solution, especially with a small number of mobile transceivers and sensors or in the presence of high noise. Furthermore, we have also verified the feasibility of the proposed explainable-AI-based two-stage solution.","PeriodicalId":21618,"journal":{"name":"Science China Information Sciences","volume":"16 1","pages":""},"PeriodicalIF":8.8,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141515953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Learning in games: a systematic review 游戏中的学习：系统回顾

IF 8.8 2区计算机科学

Science China Information Sciences Pub Date : 2024-06-28 DOI: 10.1007/s11432-023-3955-x

Rong-Jun Qin, Yang Yu

{"title":"Learning in games: a systematic review","authors":"Rong-Jun Qin, Yang Yu","doi":"10.1007/s11432-023-3955-x","DOIUrl":"https://doi.org/10.1007/s11432-023-3955-x","url":null,"abstract":"Game theory studies the mathematical models for self-interested individuals. Nash equilibrium is arguably the most central solution in game theory. While finding the Nash equilibrium in general is known as polynomial parity arguments on directed graphs (PPAD)-complete, learning in games provides an alternative to approximate Nash equilibrium, which iteratively updates the player’s strategy through interactions with other players. Rules and models have been developed for learning in games, such as fictitious play and no-regret learning. Particularly, with recent advances in online learning and deep reinforcement learning, techniques from these fields greatly boost the breakthroughs in learning in games from theory to application. As a result, we have witnessed many superhuman game AI systems. The techniques used in these systems evolve from conventional search and learning to purely reinforcement learning (RL)-style learning methods, gradually getting rid of the domain knowledge. In this article, we systematically review the above techniques, discuss the trend of basic learning rules towards a unified framework, and recap applications in large games. Finally, we discuss some future directions and make the prospect of future game AI systems. We hope this article will give some insights into designing novel approaches.","PeriodicalId":21618,"journal":{"name":"Science China Information Sciences","volume":"176 1","pages":""},"PeriodicalIF":8.8,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141515955","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-path navigation method using solar panel-reflected solar oscillations for Earth satellites 利用太阳电池板反射的太阳振荡为地球卫星提供多路径导航方法

IF 8.8 2区计算机科学

Science China Information Sciences Pub Date : 2024-06-27 DOI: 10.1007/s11432-023-4064-6

Yuqing Yang, Haonan Yang, Xiaolin Ning, Weiren Wu, Jiancheng Fang

引用次数: 0