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4th International Conference on Optics and Image Processing, ICOIP 2024

作者： Wu, Chuhan Ye, Jianfeng Miao, Jianli Wang, Yan Zhang, Fangpei Yuan, Cui Liu, Xueli Qu, Bo Liu, Yunfei Information Science Academy of China Electronics Technology Group Corporation China Key Laboratory of Photoelectronic Imaging Technology and System Ministry of Education School of Optics and Photonics Beijing Institute of Technology China

ISBN: (纸本)9781510682481

The existing optical cryptosystems always process the plaintexts into a random noise image, and the length of the key in the encryption progress is generally much longer than that of the plaintext. In this work, a Harr-wavelet-based optical cryptosystem using the convex lens is proposed. This scheme only needs recording the amplitude. The encryption key includes a series of parameters which is quite shorter than the length of the plaintext. These keys are natural inherent parameters. The Harr transform is introduced to improve the sensibilities of encryption keys and reduce the length of the ciphertexts. The ciphertext is a diffraction-pattern-like image which contains no information of plaintext. Besides, the cost of the whole optical encryption is reduced heavily. Extensive numerical simulations are carried out to verify the security, feasibility, and sensibilities of encryption keys of the proposed encryption scheme. In addition, how to properly select encryption keys is also discussed. © 2024 SPIE.

关键词： Fourier optics

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Anti-3CLpro Molecular Design Based on the Model Constrained by Specific DTIs

Anti-3CLpro Molecular Design Based on the Model Constrained ...

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2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023

作者： Lin, Xiaoli Liu, Xuan Zhang, Xiaolong School of Computer Science and Technology Wuhan University of Science and Technology Hubei Key Laboratory of Intelligent Information Processing and Real-Time Industrial System Wuhan China

ISBN: (纸本)9798350337488

Computer-aided drug design and artificial intelligence-driven drug design have accelerated drug discovery. However, how to design effective drugs that have strong interaction ability with target proteins to further improve the efficacy of drugs in treating diseases remains a key issue. This paper proposes a new target-specific drug generative model 3CLpro2mol to generate new drug molecules, which uses features of drug-target interactions (DTIs) to constrain the correlation between the drug and the target protein. To obtain as many drug-target interaction features as possible from a small amount of data, a small molecule extraction strategy is proposed to ensure the diversity of small molecules in the training samples. To improve the efficiency and accuracy of the generative model, a TOP K sampling strategy is used to generate tokens, which can improve the rationality and diversity of the generated molecules. The experimental results show that the proposed model has the potential to generate small molecules that interact better with the target protein. © 2023 IEEE.

关键词： COVID-19 DTIs generative model molecular design molecular docking

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Improvement of hydrogen permeation barrier performance by iron sulphide surface films

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International Journal of Minerals,Metallurgy and Materials 2023年第9期30卷 1792-1800页

作者： Pengpeng Bai Shaowei Li Jie Cheng Xiangli Wen Shuqi Zheng Changfeng Chen Yu Tian State Key Laboratory of Tribology Department of Mechanical EngineeringTsinghua UniversityBeijing 100084China School of Mechanical Engineering University of Science and Technology BeijingBeijing 100083China School of Mechanical Electronic&Information Engineering China University of Mining and Technology-BeijingBeijing 100083China State Key Laboratory of Heavy Oil Processing China University of PetroleumBeijing 102249China

Fe–S compounds with hexagonal crystal structure are potential hydrogen permeation barrier during H2S corrosion. Hexagonal system Fe–S films were prepared on carbon steel through corrosion and CVD deposition, and the barrier effect of different Fe–S films on hydrogen permeation was tested using electrochemical hydrogen permeation method. After that, the electrical properties of Fe–S compound during phase transformation were measured using thermoelectric measurement system. Results show that the mackinawite has no obvious barrier effect on hydrogen penetration, as a p-type semiconductor, and pyrrhotite (including troilite) has obvious barrier effect on hydrogen penetration,as an n-type semiconductor. Hydrogen permeation tests showed peak permeation performance when the surface was deposited with a continuous film of pyrrhotite (Fe_(1–x)S) and troilite. The FeS compounds suppressed hydrogen permeation by the promotion of the hydrogen evolution reaction, semiconducting inversion from p-to n-type, and the migration of ions at the interface.

关键词： hydrogen permeation barrier iron sulfide pyrrhotite semiconductor

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Machine Learning Method for Small-Amplitude Bogie Hunting Identification of High-Speed Rail Vehicles

Machine Learning Method for Small-Amplitude Bogie Hunting Id...

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2024 IEEE International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2024

作者： Guo, Jinying Shi, Huailong Wu, Pingbo Zhang, Dapeng School of Automation Chengdu University of Information Technology Chengdu China Southwest Jiaotong University State Key Laboratory of Rail Transit Vehicle System Chengdu China

ISBN: (纸本)9798350388855

Hunting stability is the foundation of the dynamic performance of high-speed trains. Due to factors such as track irregularities, the evolution of wheel-rail relationships, and degradation of vehicle suspension parameters, small-amplitude bogie hunting (SABH)was discovered in the line test of high-speed trains. To meet the higher requirements of existing high-speed trains and standard EMUs for vehicle dynamic performance, it is necessary to study the accurate and rapid identification method for SABH. The distribution differences of vibration characteristics between normal and SABH samples were compared using the Wasserstein distance. Power spectral entropy (PSE) and wavelet energy ratio (WER) have the farthest Wasserstein distance. The importance of features was ranked using MRMR and Rrelief, and the classification importance score of the autocorrelation coefficient (ACC) was the highest. Comparing the application effects of different machine learning methods in identifying SABH, the accuracy of semi-supervised and supervised learning methods is comparable for existing samples, but the unsupervised classification methods tend to misclassify the normal samples as SABH. Among semi-supervised learning methods, the random forest classifier performs the best;In supervised learning methods, decision tree classifiers perform best. Finally, the impact of the number of features on the accuracy of the classifier was analyzed, with 2-3 features being optimal. As an example, the newly obtained experimental data was labelled using semi-supervised learning methods. © 2024 IEEE.

关键词： Bogies (railroad rolling stock)

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稀疏二维突触和CMOS神经元混合神经形态硬件用于字符识别

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science Bulletin 2023年第20期68卷 2336-2343,M0005页

作者：薛思惟王水源吴天祥邸紫烨许诺孙一博曾超凡马顺利周鹏 Shanghai Key Laboratory for Future Computing Hardware and System School of MicroelectronicsFudan UniversityShanghai 200433China State Key Laboratory of ASIC and System School of Information Science and TechnologyFudan UniversityShanghai 200433China Frontier Institute of Chip and System&Qizhi Institute Fudan UniversityShanghai 200433China Hubei Yangtze Memory Laboratories Wuhan 430205China

神经形态计算能够有效处理数密集型任务.本文提出一种基于二维MoS2突触和CMOS神经元混合集成的神经形态硬件系统,可兼具二维突触器件的灵活可塑性与CMOS神经元的成熟度、可靠性.受益于混合集成,进一步提出特征提取和频率编码方式,降低... 详细信息

神经形态计算能够有效处理数密集型任务.本文提出一种基于二维MoS2突触和CMOS神经元混合集成的神经形态硬件系统,可兼具二维突触器件的灵活可塑性与CMOS神经元的成熟度、可靠性.受益于混合集成,进一步提出特征提取和频率编码方式,降低了硬件所需的突触与神经元数量;基于板级全硬件实现高准确率(98.8%)和低功耗(11.4μW)的字符识别功能.本工作为构建高面积效率和能量效率的神经形态硬件系统提供了一个可行的方案.

关键词：字符识别频率编码特征提取硬件系统神经元能量效率混合集成突触

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Research on 3D Positioning technology of UWB Single Base Station 14th

Research on 3D Positioning Technology of UWB Single Base Sta...

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14th China Satellite Navigation Conference, CSNC 2024

作者： Zhang, Jingjing Huang, Lu Su, Jia Yang, Zihan Yi, Qingwu School of Information Science and Engineering Hebei University of Science and Technology Hebei050018 China State Key Laboratory of Satellite Navigation System and Equipment Technology The 54th Research Institute of China Electronics Technology Group Corporation Hebei050081 China

ISBN: (纸本)9789819969272

In recent years, in the context of smart cities and the internet of everything, with the rapid development of the intelligent indoor environment, the demand for indoor location services in many industries has become higher and higher, and the need for real-time location of personnel has become more and more urgent. In this paper, a UWB-based circular antenna array single base station is designed for indoor space single base station 3D positioning problem, and the joint Time of Arrival (TOA)/Angle of Arrival (AOA) positioning estimation algorithm is studied. In terms of direction finding, a five-array element direction finding model is established using a uniform circular array, and the Phase Difference of Arrival (PDOA) algorithm is combined to obtain the signal arrival angle information, and TOA is used to complete the distance measurement between the base station and the label, to achieve the calculation of label location information. Also, for the consideration of improving the accuracy of angle measurement, the ambiguity resolution method of antenna array element phase difference for long baseline is proposed. Finally, the system performance was tested and verified in the experimental environments. The results show that the UWB single base station can be used to achieve indoor 3D positioning, its positioning accuracy is better than 1m. Furthermore, the technology can effectively solve problems such as the high deployment cost of multiple base stations, complicated system construction, and so on in practical applications with more excellent application and promotion value. © 2024, Aerospace information Research Institute.

关键词： Base stations

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Remote,selective,and in situ manipulation of liquid droplets on a femtosecond laser-structured superhydrophobic shape-memory polymer by near-infrared light

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science China Chemistry 2021年第5期64卷 861-872页

作者： Xue Bai Jiale Yong Chao Shan Yao Fang Xun Hou Feng Chen State Key Laboratory for Manufacturing System Engineering and Shaanxi Key Laboratory of Photonics Technology for Information School of Electronic Science and EngineeringXi’an Jiaotong UniversityXi’an 710049China

Droplet manipulation plays a significant role in the fields of biomedical detection,microfluidics,and chemical ***,it still remains a great challenge to simultaneously achieve remote,selective,and in situ droplet manipulation on the same ***,Fe_(3)O_(4)nanoparticles were doped in a shape-memory polymer(SMP)to prepare a photothermal-responsive Fe_(3)O_(4)-SMP composite which showed remarkable near-infrared(NIR)light-triggered shape-memory *** micropillar array was constructed on such Fe_(3)O_(4)-SMP composite through femtosecond laser microfabrication and fluoroalkylsilane *** surface wettability of the as-prepared surface can transform from a low-adhesive sliding state to a high-adhesive pinning state as the micropillars are deformed by ***,the deformed micropillars can stand up and restore to their original morphology under remote NIR light irradiation,resulting in the reversible and repeatable recovery of the ultralow-adhesive *** such light-triggered wettability switching,the droplets pinning on the sample surface can be remotely,selectively,and in situ ***,the superhydrophobic Fe_(3)O_(4)-SMP surface is successfully applied in lossless liquid transfer,selective droplet release,and droplet-based *** as-fabricated superhydrophobic surfaces with NIR light-controlled reversible wettability will hold great promise in the fields of liquid manipulation,lab-on-a-chip,and microfluidics.

关键词： droplet manipulation superhydrophobicity shape-memory polymer femtosecond laser light responsive

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Artificial sensory neurons and their applications

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Journal of Semiconductors 2025年第1期46卷 108-128页

作者： Jiale Shao Hongwei Ying Peihong Cheng Lingxiang Hu Xianhua Wei Zongxiao Li Huanming Lu Zhizhen Ye Fei Zhuge Faculty of Electrical Engineering and Computer Science Ningbo UniversityNingbo 315211China Ningbo Institute of Materials Technology and Engineering Chinese Academy of SciencesNingbo 315201China School of Electronic and Information Engineering Ningbo University of TechnologyNingbo 315211China State Key Laboratory of Environment-friendly Energy Materials Southwest University of Science and TechnologyMianyang 621010China Institute of Wenzhou Zhejiang UniversityWenzhou 325006China State Key Laboratory of Silicon Materials School of Materials Science and EngineeringZhejiang UniversityHangzhou 310027China Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of SciencesShanghai 200072China

With the rapid development of artificial intelligence(AI)technology,the demand for high-performance and energyefficient computing is increasingly *** limitations of the traditional von Neumann computing architecture have prompted researchers to explore neuromorphic computing as a *** computing mimics the working principles of the human brain,characterized by high efficiency,low energy consumption,and strong fault tolerance,providing a hardware foundation for the development of new generation AI *** neurons and synapses are the two core components of neuromorphic computing *** perception is a crucial aspect of neuromorphic computing,where artificial sensory neurons play an irreplaceable role thus becoming a frontier and hot topic of *** work reviews recent advances in artificial sensory neurons and their ***,biological sensory neurons are briefly ***,different types of artificial neurons,such as transistor neurons and memristive neurons,are discussed in detail,focusing on their device structures and working ***,the research progress of artificial sensory neurons and their applications in artificial perception systems is systematically elaborated,covering various sensory types,including vision,touch,hearing,taste,and ***,challenges faced by artificial sensory neurons at both device and system levels are summarized.

关键词： artificial sensory neurons artificial perception systems neuromorphic computing artificial intelligence

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Si/Si_(3)N_(4)/Ag hybrid nanocavity:a platform for enhancing light-matter interaction

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Photonics Research 2025年第3期13卷 709-720页

作者： TIANQI PENG ZHUO WANG SHULEI LI LIDAN ZHOU SHIMEI LIU YUHENG MAO MINGCHENG PANMAI WEICHEN HE SHENG LAN Guangdong Provincial Key Laboratory of Nanophotonic Functional Materials and Devices School of Optoelectronic Science and EngineeringSouth China Normal UniversityGuangzhou 510006China School of Optoelectronic Engineering Guangdong Polytechnic Normal UniversityGuangzhou 510665China State Key Laboratory of Optoelectronic Materials and Technologies School of Electronics and Information TechnologySun Yat-sen UniversityGuangzhou 510006China School of Electrical and Electronic Engineering Nanyang Technological UniversitySingapore 639798Singapore GBA Branch of Aerospace Information Research Institute Chinese Academy of SciencesGuangzhou 510700China Guangdong Provincial Key Laboratory of Terahertz Quantum Electromagnetics Guangzhou 510700China

High-index dielectric nanoparticles supporting strong Mie resonances,such as silicon(Si)nanoparticles,provide a platform for manipulating optical fields at the subwavelength ***,in general,the quality factors of Mie resonances supported by an isolated nanoparticle are not sufficient for realizing strong light-matter ***,we propose the use of dielectric-metal hybrid nanocavities composed of Si nanoparticles and silicon nitride/silver(Si_(3)N_(4)∕Ag)heterostructures to improve light-matter ***,we demonstrate that the nonlinear optical absorption of the Si nanoparticle in a Si∕Si_(3)N_(4)∕Ag hybrid nanocavity can be greatly enhanced at the magnetic dipole *** Si∕Si_(3)N_(4)∕Ag nanocavity exhibits luminescence burst at substantially lower excitation energy(~20.5 pJ)compared to a Si nanoparticle placed on a silica substrate(~51.3 pJ).The luminescence intensity is also enhanced by an order of ***,we show that strong exciton-photon coupling can be realized when a tungsten disulfide(WS2)monolayer is inserted into a Si∕Si_(3)N_(4)∕Ag *** such a system is excited by using s-polarized light,the optical resonance supported by the nanocavity can be continuously tuned to sweep across the two exciton resonances of the WS_(2)monolayer by simply varying the incident *** a result,Rabi splitting energies as large as~146.4 meV and~110 meV are observed at the A-and B-exciton resonances of the WS_(2)monolayer,satisfying the criterion for strong exciton-photon *** proposed nanocavities provide,to our knowledge,a new platform for enhancing light-matter interaction in multiple scenarios and imply potential applications in constructing nanoscale photonic devices.

关键词： manipulating optical fields si nanoparticles silicon nitride silver si n ag heterostructures Mie resonances light matter interaction mie resonancessuch silicon nanoparticles hybrid nanocavities

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Efficient Solution of Characteristic Modes Using Wideband Sherman-Morrison-Woodbury Algorithm

Efficient Solution of Characteristic Modes Using Wideband Sh...

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2024 International Applied Computational Electromagnetics Society Symposium, ACES-China 2024

作者： Meng, Hao Wang, Mingxin Chen, Xinlei Yang, Wu Lu, Weibing Nanjing University of Aeronautics and Astronautics College of Electronic and Information Engineering Nanjing China College of Electronic and Information Engineering Key Laboratory of Radar Imaging and Microwave Photonics Key Laboratory of Inlet and Exhaust System Technology Nanjing University of Aeronautics and Astronautics China State Key Laboratory of Millimeter Waves Southeast University Nanjing China Southeast University State Key Laboratory of Millimeter Waves School of Information Science and Engineering Nanjing China

ISBN: (纸本)9798350355581

In characteristic mode analysis (CMA), characteristic modes (CMs) on wideband frequency need to be solved for analyzing physical characteristics. This paper proposes an efficient method to obtain wideband CMs by solving the generalized eigenvalue problems (GEPs). In this method, the wideband Sherman-Morrison-Woodbury algorithm (WSMWA) is embedded into implicitly restarted Arnoldi method (IRAM). Numerical results show that the proposed method can save much CPU time. © 2024 IEEE.

关键词： Eigenvalues and eigenfunctions

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