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Cryptanalysis of Full-Round Magpie Block Cipher

Chinese Journal of Electronics 2023年第2期32卷 217-224页

作者： YANG Yunxiao SUN Bing LIU Guoqiang College of Liberal Arts and Sciences National University of Defense Technology State Key Laboratory of Cryptology Hunan Engineering Research Center of Commercial Cryptography Theory and Technology Innovation State Key Laboratory of Information Security Institute of Information EngineeringChinese Academy of Science

Magpie is a lightweight block cipher proposed by Li et al. in Acta Electronica Sinica volumn 45,issue 10. It adopts an substitution-permutation network（SPN） structure with a block size of 64 bits and the key size of 96 bits, respectively. To achieve the consistency of the encryption and decryption, which is both hardware and software friendly, 16 bits of the key are used as control signals to select S-boxes and another 16 bits of the key are used to determine the order of the operations. As the designers claimed, the security might be improved as different keys generate different ciphers. This paper analyzes the security of Magpie, studies the difference propagation of Magpie, and finally finds that the cipher has a set of 280weak keys which makes the full-round encryption weak, and corrects the lower bound of the number of active S-boxes to 10 instead of 25 proposed by the designers. In the weak key model, the security of the cipher is reduced by the claimed 280to only 4×216.

关键词： Ciphers Force Aerospace electronics Software Hardware Encryption Security

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Modeling and Simulation of PV Parallel Arrays under Multiple Illuminations 13

Modeling and Simulation of PV Parallel Arrays under Multiple...

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13th IEEE Data Driven Control and Learning systems Conference, DDCLS 2024

作者： Xiao, Wenwen Dong, Na He, Kesen Mai, Xiaoming School of Electrical and Information Engineering Tianjin University Tianjin Key Laboratory of Intelligent Unmanned Swarm Technology and System Tianjin China

ISBN: (纸本)9798350361674

Building-integrated photovoltaics (BIPV) provide great flexibility for energy conservation and emission reduction. However, uneven illumination distribution can result in multi-peak characteristics, negatively impacting the system's efficiency. Therefore, it is crucial to establish a photovoltaic (PV) cell model that is adaptable to environmental changes. The existing wildly-used seven-parameter circuit model faces big challenges in real engineering applications due to its unmatched parameters to the ones provided by manufactures. To address this issue, this study utilizes the maximum power point matching method and investigates parameter optimizations, including photocurrent (Ipv), reverse saturation current (Io), as well as ideality factor (A). An optimized seven-parameter model is established and the output characteristics of two different kinds of PV panels are presented. To maximize the output power, it is necessary to optimize the array configuration. Based on the enhanced even-parameter model, this paper does in-depth investigations on the maximum output of the six typical structures under three typical shading patterns, which are Series-Parallel (SP), Bridge-Linked (BL), Total-Cross- Tied (TCT), Honey-Comp (HC), Long Strings (LS), and Multi Strings (MS). The research findings will contribute to the selection of the optimal structure for PV arrays under various shading scenarios. © 2024 IEEE.

关键词： Energy conservation

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Interlayer exciton dynamics of transition metal dichalcogenide heterostructures under electric fields

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Nano Research 2024年第5期17卷 4555-4572页

作者： Jian Tang Yue Zheng Ke Jiang Qi You Zhentian Yin Zihao Xie Henan Li Cheng Han Xiaoxian Zhang Yumeng Shi International Collaborative Laboratory of 2D Materials for Optoelectronics Science and Technology of Ministry of Education Institute of Microscale OptoelectronicsShenzhen UniversityShenzhen 518060China College of Electronics and Information Engineering Shenzhen UniversityShenzhen 518060China Key Laboratory of Luminescence and Optical Information Ministry of EducationInstitute of Optoelectronic TechnologyBeijing Jiaotong UniversityBeijing 100044China

Stacking single layers of atoms on top of each other provides a fundamental way to achieve novel material systems and engineer their physical properties,which offers opportunities for exploring fundamental physics and realizing next-generation optoelectronic *** the two-dimensional(2D)-stacked systems,transition metal dichalcogenide(TMDC)heterostructures are particularly attractive because they host tightly-bonded interlayer excitons which possess various novel and appealing *** interlayer excitons have drawn significant research attention and hold high potential for the application in unique optoelectronic devices,such as polarization-and wavelength-tunable single photon emitters,valley Hall transistors,and possible high-temperature *** development of these devices requires a comprehensive understanding of the fundamental properties of these interlayer excitons and the impact of electric fields on their *** this review,we summarize the recent advances on the understanding of interlayer exciton dynamics under electric fields in TMDC *** put emphasis on the electrical modulation of interlayer excitons’emission,the valley Hall transport of charge carriers after the separation of interlayer excitons by an electric field,and the correlation physics of interlayer excitons and charges under electrical doping and *** and perspectives are finally discussed for the application of TMDC heterostructures in future optoelectronics.

关键词： interlayer exciton transition metal dichalcogenide(TMDC)heterostructures circular polarization valley Hall effect strong coupling

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Enhanced MADM Strategy with Heptapartitioned Neutrosophic Distance Metrics

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Neutrosophic Sets and systems 2025年 78卷 74-96页

作者： Eassa, Mohamed Myvizhi, M. Elkholy, Mohamed Abdelhafeez, Ahmed Elbehiery, Hussam Computer Science Department Faculty of Information System and Computer Science October 6 University Giza12585 Egypt Applied Science Research Center Applied Science Private University Amman Jordan Department of Mathematics KPR Institute of Engineering and Technology Tamilnadu Coimbatore India Faculty of Computer Science& Engineering Alamein International University Egypt

In this work, a novel methodological approach to multi-attribute decision-making problems is developed and the notion of Heptapartitioned Neutrosophic Set Distance Measures (HNSDM) is introduced. By averaging the Penta-Partitioned Neutrosophic Distance Measures under particular conditional criteria, the suggested technique ranks the options. Additionally, we explore the fundamental characteristics of HNSDM and provide several illustrative theorems. The Heptapartitioned Neutrosophic Set Distance Measures are formulated based on the Hepta Neutrosophic Set. Lastly, a practical numerical example is provided to illustrate the efficacy of the suggested methodology. © 2025, University of New Mexico. All rights reserved.

关键词： Heptapartitioned Neutrosophic set Heptapartitioned Neutrosophic set and MADM strategy Heptapartitioned set Neutrosophic sine distance measure

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Investigation on the exploding foil initiators ignition enhanced by explosion-electricity coupling

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Defence technology（防务技术） 2024年第12期42卷 1-11页

作者： Songmao Zhao Haotian Jian Ke Wang Zheng Ning Peng Zhu Ruiqi Shen School of Chemistry and Chemical Engineering Nanjing University of Science and TechnologyNanjing210094China Science and Technology on Applied Physical and Chemistry Laboratory Shanxi Applied Physics and Chemistry Research InstituteXi'an710061China Micro-Nano Energetic Devices Key Laboratory Ministry of Industry and Information TechnologyNanjing210094China Xi'an Modern Chemistry Research Institute Xi'an710061China

Explosion-electricity coupling(EEC) is a technical method to induce electric energy into the plasma material produced by explosion to improve the output of *** foil initiator(EFI) which could produce plasma during electric explosion can serve as a good carrier for studying the *** investigate the enhancement ability and mechanism of EEC in EFI ignition performance,a kind of EFI chips which could realize the EEC effect was designed and fabricated to observe the characteristics of current and voltage,flyer and plasma temperature during Boron Potassium Nitrate(BPN) ignition of the *** was found that the EEC could enhance EFI ignition in terms of energy utilization,ignition contact surface,and high-temperature sustainability of plasma:firstly,the EEC prolonged the late time discharge(LTD) phase of the electric explosion,making the energy of capacitor effectively utilized;secondly,the EEC could create a larger area of ignition contact surface;last of all,the EEC effect enhanced its hightemperature sustainability by sustaining continuous energy input to *** also was found that the ignition voltage of BPN could be reduced by nearly 600 V under the condition of 0.4 μF *** research has successfully combined EEC with EFI,revealing the behavioral characteristics of EEC and demonstrating its effective enhancement of EFI *** introduces a new approach to improving EFI output,which is conducive to low-energy ignition of EFI,and expected to take the ignition technology of EFI to a new level.

关键词： Exploding foil initiator Explosion-electricity coupling Plasma Ignition mechanism Boron potassium nitrate

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Machine learning assisted prediction of dielectric temperature spectrum of ferroelectrics

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Journal of Advanced Ceramics 2023年第9期12卷 1793-1804页

作者： Jingjin He Changxin Wang Junjie Li Chuanbao Liu Dezhen Xue Jiangli Cao Yanjing Su Lijie Qiao Turab Lookman Yang Bai Beijing Advanced Innovation Center for Materials Genome Engineering University of Science and Technology BeijingBeijing 100083China Institute for Advanced Material and Technology University of Science and Technology BeijingBeijing 100083China Faculty of Materials Science and Engineering Kunming University of Science and TechnologyKunming 650093China Sichuan Province Key Laboratory of Information Materials and Devices Application College of Optoelectronic EngineeringChengdu University of Information TechnologyChengdu 610225China School of Materials Science and Technology University of Science and Technology BeijingBeijing 100083China State Key Laboratory for Mechanical Behavior of Materials Xi’an Jiaotong UniversityXi’an 710049China AiMaterials Research LLC Santa FeNM 87501USA

In material science and engineering,obtaining a spectrum from a measurement is often time-consuming and its accurate prediction using data mining can also be *** this work,we propose a machine learning strategy based on a deep neural network model to accurately predict the dielectric temperature spectrum for a typical multi-component ferroelectric system,i.e.,(Ba_(1−x−y)Ca_(x)Sr_(y))(Ti_(1−u−v−w)Zr_(u)Sn_(v)Hf_(w))O_(3).The deep neural network model uses physical features as inputs and directly outputs the full spectrum,in addition to yielding the octahedral factor,Matyonov–Batsanov electronegativity,ratio of valence electron to nuclear charge,and core electron distance(Schubert)as four key *** to the physically meaningful features,our model exhibits better performance and generalization ability in the broader composition space of BaTiO3-based solid *** the prediction accuracy is superior to traditional machine learning models that predict dielectric permittivity values at each ***,the transition temperature and the degree of dispersion of the ferroelectric phase transition are easily extracted from the predicted spectra to provide richer physical *** prediction is also experimentally validated by typical samples of(Ba_(0.85)Ca_(0.15))(Ti_(0.98–x)Zr_(x)Hf_(0.02))O_(3).This work provides insights for accelerating spectra predictions and extracting ferroelectric phase transition information.

关键词： machine learning(ML) dielectric temperature spectrum ferroelectrics phase transition information

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Radial Vibration Measurement Based on Slope-assisted BOCDA Enabled by Multi-core Fiber

Radial Vibration Measurement Based on Slope-assisted BOCDA E...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Chen, Shuyan He, Huan Zhao, Zhiyong Fu, Songnian Tang, Ming National Engineering Laboratory for Next Generation Internet Access System School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan430074 China Guangdong Provincial Key Laboratory of Photonics Information Technology School of Information Engineering Guangdong University of Technology Guangzhou510006 China

We propose a novel SA-BOCDA sensor based on multicore fiber. By subtracting the output probe powers of two symmetrical outer cores, response enhanced vibration detection is realized without frequency scanning. © ...

ISBN: (纸本)9781957171258

关键词：

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Improved Density Peaking Algorithm for Community Detection Based on Graph Representation Learning

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Computer systems science & engineering 2022年第12期43卷 997-1008页

作者： Jiaming Wang Xiaolan Xie Xiaochun Cheng Yuhan Wang Guangxi Key Laboratory of Embedded Technology and Intelligent System Guilin541006GuangxiChina School of Information Science and Engineering Guilin University of TechnologyGuilin541006GuangxiChina Department of Computer Science Middlesex UniversityLondon

There is a large amount of information in the network data that we canexploit. It is difficult for classical community detection algorithms to handle network data with sparse topology. Representation learning of network data is usually paired with clustering algorithms to solve the community detection ***, there is always an unpredictable distribution of class clusters outputby graph representation learning. Therefore, we propose an improved densitypeak clustering algorithm (ILDPC) for the community detection problem, whichimproves the local density mechanism in the original algorithm and can betteraccommodate class clusters of different shapes. And we study the communitydetection in network data. The algorithm is paired with the benchmark modelGraph sample and aggregate (GraphSAGE) to show the adaptability of ILDPCfor community detection. The plotted decision diagram shows that the ILDPCalgorithm is more discriminative in selecting density peak points compared tothe original algorithm. Finally, the performance of K-means and other clusteringalgorithms on this benchmark model is compared, and the algorithm is proved tobe more suitable for community detection in sparse networks with the benchmarkmodel on the evaluation criterion F1-score. The sensitivity of the parameters ofthe ILDPC algorithm to the low-dimensional vector set output by the benchmarkmodel GraphSAGE is also analyzed.

关键词： Representation learning data mining low-dimensional embedding community detection density peaking algorithm

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In-Service OTDR Based on Native Transmitter for TDM PON

In-Service OTDR Based on Native Transmitter for TDM PON

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CLEO: science and Innovations in CLEO 2024, CLEO: S and I 2024 - Part of Conference on Lasers and Electro-Optics

作者： Zou, Yang Dai, Xiaoxiao Cheng, Mengfan Deng, Lei Wang, Liang Yang, Qi Liu, Deming National Engineering Laboratory for Next Generation Internet Access System School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan430074 China Optics Valley Laboratory Hubei 430074 China

We proposed an in-service OTDR based on native transmitters, which achieves rate matching without adding hardware complexity by introducing DSM. It achieves a dynamic range of >10 dB and a spatial resolution of 10 ... 详细信息

关键词： Differential pulse code modulation

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High-Resolution Wideband Dual Electro-Optic Comb Spectroscopy Enabled by Tunable Optical Source

High-Resolution Wideband Dual Electro-Optic Comb Spectroscop...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： He, Huan Wei, Qingyu Zhang, Mingming Zhao, Zhiyong Fu, Songnian Tang, Ming National Engineering Laboratory for Next Generation Internet Access System School of Optical and Electronic Information Huazhong University of Science and Technology Wuhan430074 China Guangdong Provincial Key Laboratory of Photonics Information Technology School of Information Engineering Guangdong University of Technology Guangzhou510006 China

A high-resolution dual electro-optic comb spectroscopy working in quasi-integer-ratio mode is proposed. By stepwise tuning the light source wavelength, a spectral measurement with 120-kHz resolution and 24-GHz bandwid... 详细信息

ISBN: (纸本)9781957171258

关键词： Light sources

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