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A high-speed true random number generator based on Ag/SiNx/n-Si memristor

Frontiers of physics 2024年第1期19卷 241-250页

作者： Xiaobing Yan Zixuan Zhang Zhiyuan Guan Ziliang Fang Yinxing Zhang Jianhui Zhao Jiameng Sun Xu Han Jiangzhen Niu Lulu Wang Xiaotong Jia Yiduo Shao Zhen Zhao Zhenqiang Guo Bing Bai Institute of Life Science and Green Development Key Laboratory of Brain-Like Neuromorphic Devices and Systems of Hebei ProvinceCollege of Electron and Information EngineeringHebei UniversityBaoding 071002China

The intrinsic variability of memristor switching behavior can be used as a natural source of randomness,this variability is valuable for safe applications in hardware,such as the true random number generator(TRNG).However,the speed of TRNG is still be further ***,we propose a reliable Ag/SiNx/n-Si volatile memristor,which exhibits a typical threshold switching device with stable repeat ability and fast switching *** volatile-memristor-based TRNG is combined with nonlinear feedback shift register(NFSR)to form a new type of high-speed dual output ***,the bit generation rate reaches a high speed of 112 kb/*** addition,this new TRNG passed all 15 National Institute of Standards and technology(NIST)randomness tests without post-processing steps,proving its performance as a hardware security *** work shows that the SiNx-based volatile memristor can realize TRNG and has great potential in hardware network security.

关键词： volatile memristor true random number generator(TRNG) delay time threshold switching device

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Highly elastic and degradable vitrimeric elastomers using polycondensation

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Chinese Chemical Letters 2024年第3期35卷 434-438页

作者： Yue Liu Yongshuang Huang Chao Li Guifu Si Min Chen Institutes of Physical Science and Information Technology Key Laboratory of Structure and Functional Regulation of Hybrid Materials of Ministry of EducationAnhui UniversityHefei 230601China CAS Key Laboratory of Soft Matter Chemistry Department of Polymer Science and EngineeringUniversity of Science and Technology of ChinaHefei 230026China

Introducing covalently crosslinked network to polymer matrix can merge the advantages in reprocessing and durability of *** this contribution,a series of high-performance vitrimeric elastomers were achieved via *** topological structures of polymers were tuned by varying the feeding ratios of bisacetoacetate,hex–substituted bisacetoacetate,bisamine and tris(2-aminoethyl)*** these structural manipulations,the vitrimeric elastomers presented great elastic recovery properties(strain recovery value up to 80%)benefiting from the introduction of long chain ***,the elastomers exhibited excellent reprocessing property,water vapor/oxygen barrier and adhesive ***,the elastomers could be degraded into monomer under acid conditions which enabled the elastomer synthesis again in closed loop recycling *** ease of the polycondensation in this work to prepare highly elastic and recyclable vitrimeric elastomers demonstrated exciting opportunities for the synthesis of sustainable polymers.

关键词： Polycondensation Vitrimeric elastomers Highly elastic Degradable polymers

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A Tibetan Sentence Boundary Disambiguation Model Considering the Components on information on Both Sides of Shad

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Tsinghua science and technology 2023年第6期28卷 1085-1100页

作者： Fenfang Li Hui Lv Yiming Gao Dolha Yan Li Qingguo Zhou School of Information Science and Engineering Lanzhou UniversityLanzhou 730000China Key Laboratory of China’s National Linguistic Information Technology Northwest Minzu UniversityLanzhou 730030China

Sentence Boundary Disambiguation(SBD)is a preprocessing step for natural language *** text into sentences is essential for Deep Learning(DL)and pretraining language *** punctuation marks may involve ambiguity about the sentences’beginnings and ***,the ambiguous punctuation marks must be distinguished,and the sentence structure must be correctly encoded in language *** study proposed a component-level Tibetan SBD approach based on the DL *** models can reduce the error amplification caused by word segmentation and part-of-speech *** most SBD methods have only considered text on the left side of punctuation marks,this study considers the text on both *** this study,465669 Tibetan sentences are adopted,and a Bidirectional Long Short-Term Memory(Bi-LSTM)model is used to perform *** experimental results show that the F1-score of the Bi-LSTM model reached 96%,the most efficient among the six *** are performed on low-resource languages such as Turkish and Romanian,and high-resource languages such as English and German,to verify the models’generalization.

关键词： Sentence Boundary Disambiguation(SBD) punctuation marks ambiguity Bidirectional Long Short-Term Memory(Bi-LSTM)model

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Detecting Double Mixed Compressed Images Based on Quaternion Convolutional Neural Network

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Chinese Journal of Electronics 2024年第3期33卷 657-671页

作者： Hao WANG Jinwei WANG Xuelong HU Bingtao HU Qilin YIN Xiangyang LUO Bin MA Jinsheng SUN Department of Automation Nanjing University of Science and Technology Engineering Research Center of Digital Forensics Ministry of Education Department of Computer and Software Nanjing University of Information Science and Technology School of Management Nanjing University of Posts and Telecommunications Department of Computer Science and Engineering Guangdong Province Key Laboratory of Information Security Technology Sun Yat-sen University State Key Laboratory of Mathematical Engineering and Advanced Computing Qilu University of Technology

Detection of color images that have undergone double compression is a critical aspect of digital image *** the existence of various methods capable of detecting double Joint Photographic Experts Group(JPEG) compression,they are unable to address the issue of mixed double compression resulting from the use of different compression *** particular,the implementation of Joint Photographic Experts Group 2000(JPEG2000)as the secondary compression standard can result in a decline or complete loss of performance in existing *** tackle this challenge of JPEG+JPEG2000 compression,a detection method based on quaternion convolutional neural networks(QCNN) is *** QCNN processes the data as a quaternion,transforming the components of a traditional convolutional neural network(CNN) into a quaternion *** relationships between the color channels of the image are preserved,and the utilization of color information is ***,the method includes a feature conversion module that converts the extracted features into quaternion statistical features,thereby amplifying the evidence of double *** results indicate that the proposed QCNN-based method improves,on average,by 27% compared to existing methods in the detection of JPEG+JPEG2000 compression.

关键词： Color image forensics JPEG JPEG2000 Mixed double compression Quaternion convolutional neural network

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Security of quantum key distribution with virtual mutually unbiased bases

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science China(Physics,Mechanics & Astronomy) 2024年第7期67卷 13-21页

作者： Hong-Wei Li Chen-Peng Hao Zhi-Jiang Chen Li Gong Yi-Fei Lu Yang Wang Jia-Ji Li Chun-Mei Zhang Rong Wang Zhen-Qiang Yin Qing-Yu Cai Henan Key Laboratory of Quantum Information and Cryptography SSF IEUZhengzhou 450000China Institute of Quantum Information and Technology Nanjing University of Posts and TelecommunicationsNanjing 210003China Department of Physics University of Hong KongHong Kong 999077China Key Laboratory of Quantum Information University of Science and Technology of ChinaHefei 230026China School of Information and Communication Engineering Hainan UniversityHaikou 570228China

In a perfect quantum key distribution(QKD)protocol,quantum states should be prepared and measured with mutually unbiased bases(MUBs).However,in a practical QKD system,quantum states are generally prepared and measured with imperfect MUBs using imperfect devices,possibly reducing the secret key rate and transmission *** analyze the security of a QKD system with imperfect MUBs,we propose virtual MUBs to characterize the quantum channel against collective attack,and analyze the corresponding secret key rate under imperfect state preparation and measurement *** generally,we apply the advantage distillation method for analyzing the security of QKD with imperfect MUBs,where the error tolerance and transmission distance can be sharply *** analysis method can be applied to benchmark and standardize a practical QKD system,elucidating the security analysis of different QKD protocols with imperfect devices.

关键词： quantum key distribution mutually unbiased bases advantage distillation

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Teachers cooperation:team-knowledge distillation for multiple cross-domain few-shot learning

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Frontiers of Computer science 2023年第2期17卷 91-99页

作者： Zhong JI Jingwei NI Xiyao LIU Yanwei PANG School of Electrical and Information Engineering Tianjin UniversityTianjin 300072China Science and Technology on Electro-Optical Information Security Control Laboratory Tianjin 300308China Tianjin Key Laboratory of Brain-Inspired Intelligence Technology Tianjin 300072China

Although few-shot learning(FSL)has achieved great progress,it is still an enormous challenge especially when the source and target set are from different domains,which is also known as cross-domain few-shot learning(CD-FSL).Utilizing more source domain data is an effective way to improve the performance of ***,knowledge from different source domains may entangle and confuse with each other,which hurts the performance on the target ***,we propose team-knowledge distllation networks(TKD-Net)to tackle this problem,which explores a strategy to help the cooperation of multiple ***,we distill knowledge from the cooperation of teacher networks to a single student network in a meta-learning *** incorporates task-oriented knowledge distillation and multiple cooperation among teachers to train an efficient student with better generalization ability on unseen ***,our TKD-Net employs both response-based knowledge and relation-based knowledge to transfer more comprehensive and effective *** experimental results on four fine-grained datasets have demonstrated the effectiveness and superiority of our proposed TKD-Net approach.

关键词： cross-domain few-shot learning meta-learning knowledge distillation multiple teachers

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Convenient synthesis and delivery of a megabase-scale designer accessory chromosome empower biosynthetic capacity

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细胞研究（英文版） 2024年第4期34卷 309-322页

作者： Yuan Ma Shuxin Su Zongheng Fu Chu Zhou Bin Qiao Yi Wu Ying-Jin Yuan Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering(Ministry of Education) School of Chemical Engineering and TechnologyTianjin UniversityTianjinChina Frontiers Research Institute for Synthetic Biology Tianjin UniversityTianjinChina Frontiers Science Center for Synthetic Biology and Key Laboratory of Systems Bioengineering(Ministry of Education) School of Chemical Engineering and TechnologyTianjin UniversityTianjinChina

Synthetic biology confers new functions to hosts by introducing exogenous genetic elements,yet rebuilding complex traits that are based on large-scale genetic information remains ***,we developed a CRISPR/Cas9-mediated haploidization method that bypasses the natural process of *** on the programmed haploidization in yeast,we further developed an easy-to-use method designated HAnDy(Haploidization-based DNA Assembly and Delivery in yeast)that enables efficient assembly and delivery of large DNA,with no need for any fussy in vitro *** HAnDy,a de novo designed 1.024 Mb synthetic accessory chromosome(synAC)encoding 542 exogenous genes was parallelly assembled and then directly transferred to six phylogenetically diverse *** synAC significantly promotes hosts'adaptations and increases the scope of the metabolic network,which allows the emergence of valuable *** approach should facilitate the assembly and delivery of large-scale DNA for expanding and deciphering complex biological functions.

关键词： designer empower accessory biosynthetic capacity chromosome convenient delivery megabase-scale synthesis

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Thermochromic Smart Windows with Ultra-High Solar Modulation and Ultra-Fast Responsive Speed Based on Solid–Liquid Switchable Hydrogels

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Research 2024年第4期2024卷 2-13页

作者： Guangjun Zhu Gang Xu Yu Zhang Guo Lu Xuan Cai Wei Zhang Wei She Changwen Miao State Key Laboratory of High Performance Civil Engineering Materials Southeast UniversityNanjing 211189China School of Materials Science and Engineering Southeast UniversityNanjing 211189China Jiangsu Key Laboratory of Advanced Metallic Materials Southeast UniversityNanjing 211189China School of Civil Engineering and Architecture Shandong University of Science and TechnologyQingdao 266590China Wuhan National Laboratory for Optoelectronics School of Optical and Electronic InformationHuazhong University of Science and TechnologyWuhan 430074China

Thermo-responsive hydrogels can dynamically modulate incident light,providing a broad prospect for development of smart windows,which are of pivotal importance for energy conservation in ***,these hydrogels normally exhibit slow response speed and tend to contract over extended phase transition,compromising structural integrity of smart *** this study,a solid–liquid switchable thermochromic hydrogel,denoted as SL-PNIPAm,was synthesized by cross-linking PNIPAm with AMEO through dynamic imine *** to its distinctive solid–liquid transformation characteristics,SL-PNIPAm demonstrates rapid response time(within 5 s)and retains structural integrity without undergoing shrinkage during heating/cooling and freezing/thawing cycles.

关键词： bonds linking freezing

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Emergency multi-mode transportation path optimization based on modified customized non-dominated sorting genetic algorithmⅡ 8

Emergency multi-mode transportation path optimization based ...

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8th International Conference on Traffic engineering and Transportation System, ICTETS 2024

作者： Guo, Chunxian Lei, Hongtao Zhu, Cheng Zhang, Weiming National Key Laboratory of Information Systems and Engineering National University of Defense Technology Changsha China

ISBN: (数字)9781510686298

ISBN: (纸本)9781510686281

Based on multi-mode transportation, emergency supplies transportation with flexibility and robustness can effectively cope with various uncertain factors such as road congestion, enabling efficient and safe transportation of emergency supplies in complex conditions. This paper establishes an optimization model for emergency supplies multi-mode transportation routes with dual objectives of time and cost, and designs a Modified Customized Non-dominated Sorting Genetic Algorithm II (MCNSGA-II) for solving the optimization model. In the solution method, a feasible solution is constructed using an evolutionary solution framework and a two-stage encoding method. The Dijkstra algorithm is used to reconnect illegal paths, and a mutation strategy is introduced to escape from local optima. Through case analysis, MCNSGA-II can achieve better results compared to NSGA-II and SPEA-II algorithms. © 2024 SPIE.

关键词： Traffic congestion

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Multi-Intent Learning for Multi-Modal Recommendation 4

Multi-Intent Learning for Multi-Modal Recommendation

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4th International Conference on Electronic information engineering and Computer Communication, EIECC 2024

作者： Kong, Mengfan Luo, Aimin National University of Defense Technology National Key Laboratory of Information Systems Engineering Changsha China

ISBN: (纸本)9798331534622

Recommendation systems play an increasingly important role in social platforms, providing users with personalized content services. With the explosive growth of multi-modal contents, traditional recommendation systems based solely on interaction data can no longer meet user needs. In recent years, many researchers have attempted to integrate multi-modal features into recommendation system. Meanwhile, user intent determines whether users will interact with items or not. Intent modeling is crucial for capturing user preferences and explaining recommendation results. Recommendation system based on interaction data model user intents at a coarse-grained level, because the information contained in user IDs and item IDs is too limited. In contrast, multi-modal features can reflect finer-grained user preferences from a semantic perspective. To address this issue, we propose a Multi-Intent Learning method for Multi-Modal Recommendation (MIMM). Specifically, we design a Modality-Specific Intent Graph Convolution Network to disentangle user and item intents from different modalities and filter out self-supervision signals at the semantic level. Finally, a cross-modality intent contrastive learning task is introduced to align user intents across different modality. Experiments on real-world dataset demonstrate the effectiveness of our MIMM. © 2024 IEEE.

关键词： Self-supervised learning

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