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Entropy evolution law of general quadratic state in a laser channel

Frontiers of physics 2025年第2期20卷 169-175页

作者： Xiang-Guo Meng Bao-Long Liang Jian-Ming Liu Xu-Cong Zhou School of Basic Medical Sciences Shandong Second Medical UniversityWeifang 261053China Shandong Provincial Key Laboratory of Optical Communication Science and Technology School of Physical Science and Information EngineeringLiaocheng UniversityLiaocheng 252059China

Using the integration within ordered products,we obtain the analytical density-operator evolution of the general quadratic state ρ_(0)in a laser channel,which always maintains the same form as the initial density operator ρ_(0).Introducing the differential representation of the von-Neumann entropy and two important resemble formulas,we analytically and numerically investigate the entropy evolution of the state ρ_(0)in a laser channel,which is determined by not only the competition of the gain and loss of the laser channel,but also the coefficients α,β of the initial quadratic state.

关键词： general quadratic state laser channel quantum entropy operator ordering integration within ordered product

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Metal flow hysteresis behavior and shape control strategy during porthole die extrusion of micro heat pipe

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Chinese Journal of Aeronautics 2023年第7期36卷 268-281页

作者： Yongda LIU Jie XU Xiaoliang WANG Debin SHAN Bin GUO Key Laboratory of Micro-Systems and Micro-Structures Manufacturing of Ministry of Education Harbin Institute of TechnologyHarbin 150080China School of Materials Science and Engineering Harbin Institute of TechnologyHarbin 150001China

The shape control strategy of micro grooves is still unclear and challenging during the porthole die extrusion of grooved micro heat pipe(MHP).Through the simulation and experiment of porthole die extrusion of a MHP profile,the metal flow hysteresis behavior within micro features and the effect of ram speed and extrusion temperature on it and the resulting forming integrity was ***,Taguchi design and variance analysis(ANOVA)were introduced to determine their influence magnitude on the metal flow uniformity calculated by simulation *** main findings are given *** metal flow hysteresis derives from part feature size *** negligible friction-affected area during conventional extrusion severely slows down the metal flow within micro features during the MHP profile extrusion,which is due to the surge in the area ratio of the friction-affected area to the region in which it is *** ram speed nor extrusion temperature can change the distribution of the friction-affected ***,increasing ram speed multiplies the metal flow hysteresis and severely reduces the forming integrity,whereas extrusion temperature has little *** this strategy,batch extrusion of the profile with microgrooved width of 0.27±0.02 mm was achieved in industrialized conditions.

关键词： Micro heat pipe Microforming Size effect Porthole die extrusion Metal flow Forming integrity Microstructure

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Large-scale high uniform optoelectronic synapses array for artificial visual neural network

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Microsystems & Nanoengineering 2025年第1期11卷 247-256页

作者： Fanqing Zhang Chunyang Li Zhicheng Chen Haiqiu Tan Zhongyi Li Chengzhai Lv Shuai Xiao Lining Wu Jing Zhao State Key Laboratory of Explosion Science and Safety Protection Beijing Institute of TechnologyMinistry of Education100081 BeijingChina School of Mechatronical Engineering Beijing Institute of Technology100081 BeijingChina Beijing Advanced Innovation Center for Intelligent Robots and Systems Beijing Institute of Technology100081 BeijingChina Laser Micro/Nano Fabrication Laboratory School of Mechanical EngineeringBeijing Institute of Technology100081 BeijingChina School of Mechanical Engineering Beijing Institute of Technology100081 BeijingChina

Recently,the biologically inspired intelligent artificial visual neural system has aroused enormous ***,there are still significant obstacles in pursuing large-scale parallel and efficient visual memory and *** this study,we demonstrate a 28×28 synaptic devices array for the artificial visual neuromorphic system,within the size of 0.7×0.7 cm 2,which integrates sensing,memory,and processing *** highly uniform floating-gate synaptic transistors array were constructed by the wafer-scale grown monolayer molybdenum disulfide with Au nanoparticles(NPs)acting as the electrons capture *** synaptic plasticity behaviors have been achieved owing to the switchable electronic storage *** excellent optical/electrical coordination capabilities were implemented by paralleled processing both the optical and electrical signals the synaptic array of 784 devices,enabling to realize the badges and letters writing and erasing ***,the established artificial visual convolutional neural network(CNN)through optical/electrical signal modulation can reach the high digit recognition accuracy of 96.5%.Therefore,our results provide a feasible route for future large-scale integrated artificial visual neuromorphic system.

关键词： optoelectronic synapses monolayer molybdenum disulfide artificial visual neural system convolutional neural network artificial visual neuromorphic systemwithin artificial visual neural network floating gate transistors synaptic plasticity

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Long-term stress relaxation behaviors and mechanisms of 2219 Al-Cu alloy under various temperatures and initial stresses

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Journal of Materials science & technology 2024年第13期180卷 174-192页

作者： Hechuan Song Hanjun Gao Qingdong Zhang Xiaomin Zhou Boyang Zhang School of Mechanical Engineering University of Science and Technology BeijingBeijing 100083China Shunde Innovation School University of Science and Technology BeijingFoshan 528399China State Key Laboratory of Virtual Reality Technology and Systems&School of Mechanical Engineering and Automation Beihang UniversityBeijing 100191China Anhui Hengli Additive Manufacturing Technology Co. Ltd.Wuhu 241200China

Large 2219 Al-Cu alloy aerospace integral components suffer from long-term stress relaxation aging(SRA)due to complex temperature and stress loads during aging treatment/forming and service process,which makes it difficult to ensure their appropriate residual stress and excellent mechanical and service ***,the research is limited to a thorough understanding of macroscopic and microscopic features and underlying mechanisms of the long-term SRA under multivariable aging ***-fore,this study investigated macroscopic and microscopic features of long-term SRA under different tem-peratures(120 ℃ to 190 ℃),initial stress levels(100 MPa to 250 MPa)and durations(0 h to 50 h)through stress relaxation curves,metallographic traits,Vickers hardness,tensile performance,disloca-tions and phases of *** the basis of experimental outcomes,the comprehensive mecha-nisms beneath SRA were unraveled through dislocation theory,multiphase strengthening mechanisms and thermodynamics,where the interplays of stress relaxation behavior with age-hardening response were taken into *** results showed elevations in the rate of stress reduction as the tem-perature and initial stress *** an initial stress greater than the yield stress of alloy,a marked in-crease in stress relaxation was found,and the mechanisms transform from the intragranular motion of dislocations and diffusion of grain boundaries to the intragranular and intergranular motion of disloca-tions and migration of grain *** stress reduction rate rose sharply when the temperature exceeded 175 ℃,and the dislocation movement mechanisms transform from gliding to climbing of *** relaxation is in nature progressive transformation of strain from elastic into a permanently inelastic state via the motion of dislocations,leading to the decrease of movable dislocations and the increase of immovable dislocations with more stable *** age hardening i

关键词： 2219 aluminum alloys Stress relaxation aging Residual stresses Microstructures Dislocations Mechanisms

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Adaptive Channel Assignment for Wireless Mesh Networks Based on Multi-Intelligent Body Reinforcement Learning 7

Adaptive Channel Assignment for Wireless Mesh Networks Based...

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7th IEEE International Conference on Electronic information and Communication technology, ICEICT 2024

作者： Su, Hang Ye, Fang Su, Chunxia Sun, Xue Harbin Engineering University Key Laboratory of Advanced Marine Communication and Information Technology College of Information and Communication Engineering Harbin China Harbin Engineering University National Key Laboratory of Underwater Acoustic Technology College of Information and Communication Engineering Harbin China Suzhou University of Science and Technology School of Electronic and Information Engineering Suzhou China

ISBN: (纸本)9798350384437

With the popularity of emerging applications and the diversification of IoT device needs, wireless mesh networks (WMN) have been recognized as an effective way to solve "last mile"coverage. In the scenario where the network environment status is unknown, an adaptive channel allocation algorithm based on multi-agent reinforcement learning is proposed to solve the problem that static channel allocation in wireless mesh network cannot adapt well to traffic changes in the network environment, resulting in the degradation of link communication quality. Map the channel allocation problem as a multi-agent reinforcement learning process. The state space based on multiple factors such as interference and load is established, and the relationship between exploration and utilization in the algorithm is balanced by using the improved greedy action selection mechanism, and the return function based on link satisfaction is designed to guide the channel selection to improve the quality of link communication. The simulation results show that the proposed algorithm can effectively adapt to the dynamic changes of traffic and source nodes in the network to ensure the quality of user service. © 2024 IEEE.

关键词： MESH networking

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Reliable Fetal Health Assessment through Ensemble Techniques in Machine Learning 5

Reliable Fetal Health Assessment through Ensemble Techniques...

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5th International Conference on Data Intelligence and Cognitive Informatics, ICDICI 2024

作者： Rajkumar, M. Madhan, E.S. Karthikeyan, D. Gopal, Mohanraj Nithish, G. Vellore Institute of Technology School of Computer Science Engineering and Information Systems Vellore Campus Tamil Nadu India Vellore Institute of Technology School of Computer Science and Engineering Tamil Nadu Vellore632014 India Vellore Institute of Technology School of Computer Science Engineering and Information Systems Vellore Campus Tamil Nadu India Vellore Institute of Technology School of Computer Science Engineering and Information Systems Tamil Nadu Vellore632104 India Vellore Institute of Technology Vellore Campus Tamil Nadu India

ISBN: (纸本)9798350389609

Ensuring the well-being of foetuses during pregnancy is crucial for preventing child and maternal mortality, aligning with the United Nations' Sustainable Development Goals. Utilizing a dataset of 2126 records from Cardiotocography (CTG) exams, obtained from the Kaggle repository, the study employs machine learning ensemble techniques, specifically stacking with 10x10 validations, to increase the classification of fetal health's precision and dependability. To address class imbalance, the dataset is resampled to 150%, and filter-based feature selection using the chi-squared statistical test is applied. Base models, including Decision Trees (C4.5), Random Forest (100 trees), Logistic Regression, and Sequential Minimal Optimization (SMO), are utilized. With the help of the Weka Machine Learning software tool, the ensemble model, after hyper parameter tuning and employing diverse techniques, with 98.68% accuracy, the model effectively classifies fetal health, indicating robust performance across various evaluation metrics. © 2024 IEEE.

关键词： Electronic health record

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Securing the Future after Pager Bombs:Lifecycle Protection of Smart Devices via Blockchain Intelligence

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IEEE/CAA Journal of Automatica Sinica 2024年第12期11卷 2355-2358页

作者： Fei Lin Qinghua Ni Jing Yang Juanjuan Li Nan Zheng Levente Kovács Radu Prodan Mariagrazia Dotoli Qing-Long Han Fei-Yue Wang the Department of Engineering Science Faculty of Innovation EngineeringMacao University of Science and TechnologyMacao 999078China the State Key Laboratory of Multimodal Artificial Intelligence Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China the School of Artificial Intelligence University of Chinese Academy of SciencesBei-jing 100049China IEEE Obuda University John von Neumann Faculty of InformaticsBecsi Str.96/bH-1034 BudapestHungary the Institute of Information Technology University of Klagenfurt9020 Klagenfurt am WortherseeAustria the Department of Electrical and Information Engineering Polytechnic of Bari70126 BariItaly the School of Science Computing and Engineering TechnologiesSwinburne University of TechnologyMelbourne VIC 3122Australia the State Key Laboratory for Management and Control of Complex Systems Chinese Academy of SciencesBeijing 100190

THE Lebanese wireless device explosion incident has drawn widespread attention,involving devices such as pagers,walkie-talkies,and other common devices[1].This event has revealed and highlighted the security vulnerabilities in global supply chains from raw material manufacturing and distribution to the usage of devices and equipment,signaling the onset of a new wave of"supply chain warfare"[2].

关键词： Smart cycle chains

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Density waves of vortex fluids on a sphere

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Communications in Theoretical Physics 2025年第4期77卷 159-166页

作者： Yanqi Xiong Zhijun Zou Liang Luo Key Laboratory of Hunan Province on Information Photonics and Freespace Optical Communications School of Physics and Electronic ScienceHunan Institute of Science and TechnologyYueyang 414006China Graduate School of China Academy of Engineering Physics Beijing 100193China

We aim to find one highly nontrivial example of the solutions to the vortex fluid dynamical equation on the unit sphere(S^(2))and compare it with the numerical *** the rigid rotating steady solution for vortex fluids on S^(2)is already known to us,we consider the perturbations above *** decomposing the perturbation of the vortex number density and vortex charge density into spherical harmonics,we find that the perturbations are propagating *** be precise,the velocities for different single-mode vortex number density waves are all the same,while the velocities for single-mode vortex charge density waves depend on the degree of the spherical harmonics l,which is a signal of the existence of ***,we find that there is a beat phenomenon for the positive(or negative)vortex density *** simulation based on the canonical equations for the point vortex model agrees perfectly with our theoretical calculations.

关键词： quantum vortex 2D sphere superfluid density wave dispersion ome

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Cryptanalysis of Full-Round Magpie Block Cipher

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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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A Hypergraph Framework Based on Neighborhood and Category Association Relationships for Session-Based Recommendation

A Hypergraph Framework Based on Neighborhood and Category As...

引用

2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, 2023 International Conference on Pervasive Intelligence and Computing, 2023 International Conference on Cloud and Big Data Computing, 2023 International Conference on Cyber science and technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023

作者： Liu, Dengfeng Wang, Yitong Cai, Fei National University of Defense Technology Science and Technology on Information Systems Engineering Laboratory Changsha China Beijing Big Data Center Beijing China

ISBN: (纸本)9798350304602

Session-based recommendation aims to generate personalized recommendations based on user behaviors within a browsing session. The traditional graph neural network (GNN) methods focus on modeling pair-wise relationships but ignore neighborhood and category relationships which is crucial for improving the accuracy of recommendations. This paper proposes a hypergraph framework based on neighborhood and category association relationships for session-based recommendation (HLNCA). In detail, we first construct a hypergraph that can acquire the neighborhood and category association relationships among items;then aggregate hyperedge representation to obtain the neighborhood and category relationships of nodes;and finally obtain the users' preference through the attention mechanism to calculate the predicted score of items in the candidate set according to the preference. The proposed HL-NCA model outperforms baseline models in terms of Recall@20 and MRR@20 evaluation metrics. © 2023 IEEE.

关键词： Behavioral research

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