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arXiv 2023年

作者： Feng, Fan Liang, Chen Chen, Dongdong Du, Ke Yang, Runjia Lu, Chang Chen, Shumin He, Wenting Xu, Pingyong Chen, Liangyi Tao, Louis Mao, Heng Center for Bioinformatics National Laboratory of Protein Engineering and Plant Genetic Engineering School of Life Sciences Peking University Beijing100871 China GBA Institute of Collaborative Innovation Guangzhou510300 China LMAM School of Mathematical Sciences Peking University Beijing100871 China School of Software and Microelectronics Peking University Beijing100871 China State Key Laboratory of Membrane Biology Beijing Key Laboratory of Cardiometabolic Molecular Medicine Institute of Molecular Medicine Center for Life Sciences College of Future Technology Peking University Beijing100871 China School of Instrumentation and Optoelectronic Engineering Beihang University Beijing100191 China Key Laboratory of RNA Biology Institute of Biophysics Chinese Academy of Sciences Beijing100101 China National Laboratory of Biomacromolecules Institute of Biophysics Chinese Academy of Sciences Beijing100101 China PKU-IDG/McGovern Institute for Brain Research Beijing100871 China Beijing Academy of Artificial Intelligence Beijing100871 China Center for Quantitative Biology Peking University Beijing100871 China Beijing Advanced Innovation Center for Imaging Theory and Technology Capital Normal University Beijing100871 China

This article presents an approach for space-variant Shack-Hartmann wavefront reconstruction based on image moment theory. We derive the relation between the moment of a pair of subimages and the local transformation coefficients. A special solution is obtained from this relation using the square guide 'star'. Our moment-based wavefront reconstruction has reduced computational complexity compared to the iteration-based algorithm. We execute image restorations using both the tiling strategy with 5 × 5 PSFs and the conventional strategy with a global average PSF. Our approach is supported by visual and quantitative evaluations. © 2023, CC BY-NC-SA.

关键词： Adaptive optics

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Comments on Privacy-preserving Yoking proof with key exchange in the three-party setting

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International Journal of Network Security 2019年第2期21卷 355-358页

作者： Cheng, Qingfeng Zhang, Xinglong State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Henan Province450001 China

In 2017, Tian, Yang and Mu presented a new three-party key exchange protocol YPKE in radio frequency identification environment, which is based on the HMQV protocol. They claimed that the proposed YPKE protocol in the three-party setting meets user privacy and session key security. In this comment, we point out that the YPKE protocol still has some weaknesses. Our results show that the proposed YPKE protocol cannot provide perfect forward secrecy, and also cannot resist impersonation attack. At the same time, the YPKE protocol is lack of the security of ephemeral private key leakage and unknown key-share, which the original HMQV protocol can achieve. © 2019 Femto Technique Co., Ltd.

关键词： Radio frequency identification (RFID)

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Physical Model-Assisted Hybrid Neural Network Enabling High Spatial Resolution Distributed High-Temperature Sensing With Single-Crystal Fiber

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IEEE Transactions on Instrumentation and Measurement 2025年 74卷

作者： Xu Liu Kaidi Cai Siqi Guo Bo Liu Research Center for Computing Sensing Zhejiang Laboratory Hangzhou Zhejiang China College of Optical and Electronic Technology China Jiliang University Hangzhou Zhejiang China International Research Center for Advanced Photonics the State Key Laboratory of Extreme Photonics and Instrumentation and the College of Optical Science and Engineering Zhejiang University Hangzhou Zhejiang China

Raman distributed high-temperature sensing (DHTS) offers unique advantages, particularly in addressing crosstalk issues of the traditional point sensors, as well as the challenges associated with the multipoint deployment of sensors and complex wiring in temperature field measurements. However, due to the limitations of the system hardware, achieving ultrahigh spatial resolution (SR) in distributed high-temperature sensing systems remains challenging, thereby hindering the acquisition of dense temperature data required for comprehensive temperature field measurements. To break through these intrinsic hardware limitations and challenges, we proposed a hybrid neural network model combined with the convolution neural network (CNN) and bidirectional long short-term memory (Bi-LSTM) for the DHTS system with the specialty yttrium aluminum garnet (YAG) single-crystal fiber (SCF). Based on experimental data acquired from room temperature to high temperature of $1400~^{\circ } $ C, the SR was shown to improve significantly, and further validation through point heat source experiments demonstrated a maximum enhancement in SR of 4.43 cm. The hybrid model of the CNN and Bi-LSTM effectively achieves both denoising and SR enhancement. In addition, the optimized hybrid model can reconstruct high-fidelity signal traces that align closely with the experimental system. Furthermore, the system is capable of processing and reconstructing frame-by-frame signals, enabling high-speed temperature response capabilities.

关键词： Temperature sensors Sensors Temperature measurement Spatial resolution Optical fiber sensors Optical fiber networks Raman scattering Convolution Bandwidth Optical sensors

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A dynamic network change detection method using network embedding 4th

A dynamic network change detection method using network embe...

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4th International Conference on Cloud computing and Security, ICCCS 2018

作者： Sun, Tong Liu, Yan China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9783030000059

Dynamic networks are ubiquitous. Detecting dynamic network changes is helpful to understand the network development trend and discover network anomalies in time. It is a research hotspot at present. The structure of the network in the real world is very complex, the current feature learning method is difficult to capture a variety of network connectivity patterns, and the definition of efficient network features requires a large number of neighborhood knowledge and computational costs. In order to overcome this limitation, this paper presents a method of dynamic network change detection using network embedding, which automates the whole process by using feature extraction as a embedding problem, and carries out dynamic network change detection by analyzing the distribution of nodes in space after network embedding processing. We use this method to simulate dynamic network and real dynamic network datasets to prove the validity of this method. © Springer Nature Switzerland AG 2018.

关键词： Network embeddings

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Achieving Efficient Alkaline Hydrogen Evolution Reaction on Long-Range Ni Sites in Ru Clusters-Immobilized Ni3n Array Catalyst

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SSRN 2022年

作者： Gao, Xiaorui Zang, Wenjie Li, Xin Qian, Bin Zheng, Lirong Kou, Zongkui School of Electronic and Information Engineering Changshu Institute of Technology Changshu 215500 China Department of Materials Science and Engineering University of California-Irvine IrvineCA92697 United States School of Physical & Mathematical Sciences Nanyang Technological University 637371 Singapore Beijing Synchrotron Radiation Facility Institute of High Energy Physics Chinese Academy of Sciences Beijing100049 China State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of Technology Wuhan430070 China

Hydrogen (H2) production from alkaline water electrocatalysis is economically appealing yet significantly hindered by the sluggish H2O adsorption and H* binding kinetics on active sites during hydrogen evolution reaction (HER). Herein, we interfacially immobilize Ru clusters on the hierarchical nickel nitride (Ru-Ni3N) nanosheet arrays via the filling of Ru3+ species into the metal vacancies of nickel hydroxide precursors and the subsequent controllable nitridation. The optimized Ru-Ni3N shows the outstanding HER performance, affording a 30-fold rise in the intrinsic activity of Ni sites, a outperforming-Pt/C overpotential at ≥125 mA cm-2 while remaining a robust stability. We further establish by a combined study of density functional theory (DFT) calculations with experimental analyses that long-range Ni sites around Ru sites act as active sites via the electron delocalization, remarkably weakening the H2O adsorption and H* binding barriers for enhancing the alkaline HER kinetics. Moreover, it also demonstrates an excellent pH-universal HER and overall water splitting performance. © 2022, The Authors. All rights reserved.

关键词： Electrocatalysts

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A Self-Powered Nanogenerator for the Electrical Protection of Integrated Circuits from Trace Amounts of Liquid

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Nano-Micro Letters 2020年第1期12卷 54-62页

作者： Zhuang Hui Ming Xiao Daozhi Shen Jiayun Feng Peng Peng Yangai Liu Walter WDuley YNorman Zhou Beijing Key Laboratory of Materials Utilization of Nonmetallic Minerals and Solid Wastes National Laboratory of Mineral MaterialsSchool of Materials Science and TechnologyChina University of GeosciencesBeijing 100083People’s Republic of China Department of Mechanics and Mechatronics Engineering Centre for Advanced Materials JoiningUniversity of WaterlooWaterlooON N2L 3G1Canada School of Mechanical Engineering and Automation Beihang UniversityBeijing 100191People’s Republic of China Waterloo Institute of Nanotechnology University of WaterlooWaterlooON N2L 3G1Canada Institute for Quantum Computing University of WaterlooWaterlooON N2L 3G1Canada State Key Laboratory of Advanced Welding and Joining Harbin Institute of TechnologyHarbin 150001People’s Republic of China Department of Physics and Astronomy University of WaterlooWaterlooON N2L 3G1Canada

With the increase in the use of electronic devices in many different environments,a need has arisen for an easily implemented method for the rapid,sensitive detection of liquids in the vicinity of electronic *** this work,a high-performance power generator that combines carbon nanoparticles and TiO2 nanowires has been fabricated by sequential electrophoretic deposition(EPD).The opencircuit voltage and short-circuit current of a single generator are found to exceed 0.7 V and 100μA when 6μL of water was *** generator is also found to have a stable and reproducible response to other *** output voltage of 0.3 V was obtained after 244,876,931,and 184μs,on exposure of the generator to 6μL of water,ethanol,acetone,and methanol,*** fast response time and high sensitivity to liquids show that the device has great potential for the detection of small quantities of *** addition,the simple easily implemented sequential EPD method ensures the high mechanical strength of the *** compact,reliable device provides a new method for the sensitive,rapid detection of extraneous liquids before they can impact the performance of electronic circuits,particularly those on printed circuit board.

关键词： Self-powered generator Sub-millisecond response Liquid protection

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HHL Analysis and Simulation Verification Based on Origin Quantum Platform

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Journal of Physics: Conference Series 2021年第1期2113卷

作者： Xiaonan Liu Lina Jing Lin Han Jie Gao State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou 450001 China Henan Supercomputing Center Zhengzhou University Zhengzhou 450001 China

Solving large-scale linear equations is of great significance in many engineering fields, such as weather forecasting and bioengineering. The classical computer solves the linear equations, no matter adopting the elimination method or Kramer's rule, the time required for solving is in a polynomial relationship with the scale of the equation system. With the advent of the era of big data, the integration of transistors is getting higher and higher. When the size of transistors is close to the order of electron diameter, quantum tunneling will occur, and Moore's Law will not be followed. Therefore, the traditional computing model will not be able to meet the demand. In this paper, through an in-depth study of the classic HHL algorithm, a small-scale quantum circuit model is proposed to solve a 2×2 linear equations, and the circuit diagram and programming are used to simulate and verify on the Origin Quantum Platform. The fidelity under different parameter values reaches more than 90%. For the case where the matrix to be solved is a sparse matrix, the quantum algorithm has an exponential speed improvement over the best known classical algorithm.

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Truth discovery on categorical multi-valued attributes with source relations 4

Truth discovery on categorical multi-valued attributes with ...

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4th IEEE International Conference on Computer and Communications, ICCC 2018

作者： Zheng, Yan Luo, Junyong Yin, Meijuan Yang, Wen China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China

ISBN: (纸本)9781538683392

In the era of big data, a mass of data fusion applications need to obtain accurate and complete attribute information about various objects. Most existing truth discovery methods are for single-valued attributes, which will be invalid for multi-valued attributes. They are usually based on the assumption that the data sources are independent of each other. It is not in line with the reality that related relationship occurs between them. Since multi-valued attributes are at large discrete, this paper proposes a truth discovery method incorporating the qulity and the correlations of data sources, namely Categorical Multi-Truths Finder algorithm (CMTF), which iteratively derives the accuracy and the recall rate of data source along with the truth set for each attribute. The experimental results show that CMTF outperforms the state-of-the-art. © 2018 IEEE.

关键词： Data fusion

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A binary translation backend registers allocation algorithm based on priority 5th

A binary translation backend registers allocation algorithm ...

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5th International Conference on Geo-Spatial Knowledge and Intelligence, GSKI 2017

作者： Wang, Jun Pang, Jianmin Fu, Liguo Shan, Zheng Yue, Feng Zhang, Jiahao State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450001 China

ISBN: (纸本)9789811308956

As most binary translation systems don’t consider the difference of register requirements of basic blocks, which brings redundant memory access instructions caused by unnecessary registers overflow. To solve this problem, a binary translation backend registers allocation algorithm based on priority (BTBRAP) is proposed. Firstly, local global register is allocated statically to reduce the global register maintenance overhead, according to the statistical features of registers on the source platform. Then, the number of every register requested in basic blocks is determined, according to the relationship between intermediate representation and the source platform registers. So the priority of registers allocation is obtained. Conclusively, allocate the registers dynamically based on the priority to reduce the registers overflow. As the test results of nbench, representative recursive programs and SPEC2006 show, the algorithm effectively reduces the redundant memory access of local code, and improves the program performance with an average increase of 7.94%. © Springer Nature Singapore Pte Ltd. 2018.

关键词： Software testing

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A Novel Timing-based Network Covert Channel Detection Method

A Novel Timing-based Network Covert Channel Detection Method

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2019 International Conference on Artificial Intelligence Technologies and Applications, ICAITA 2019

作者： Lu, Shoupu Chen, Zhifeng Fu, Guangxin Li, Qingbao State Key Laboratory of Mathematical Engineering and Advanced Computing Henan Province Zhengzhou450001 China Henan University of Economics and Law Henan Province Zhengzhou450000 China P.O.Box 5111 Beijing China

Network stealth events are endless, and covert timing channel is one of the most difficult means to prevent. In order to further improve the detection rate of covert timing channel, several typical network covert timing channel construction algorithms are analyzed. On the basis of the above analysis, a detection method based on IPDs multidimensional features was proposed in this paper. IPDs of covert timing channels from three dimensions: shape, change rule and data statistics are analyzed. Respectively, polarization feature, autocorrelation feature, clustering feature are proposed, and the three features are unified into a model. The threshold method is used to determine whether the channel to be detected is a normal channel. Experiments show that the method can detect the existing covert timing channel with less time cost and compared with the traditional detection method has a certain rate of improvement. © 2019 IOP Publishing Ltd. All rights reserved.

关键词： Timing circuits

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