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Decision making module based on stochastic magnetic tunnel junctions

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Science China(Physics,Mechanics & Astronomy) 2025年第1期Mechanics & Astronomy) .卷 202-209页

作者： Yifan Miao Li Zhao Yajun Zhang Zhe Yuan center for advanced Quantum Studies and Department of Physics Beijing Normal University Institute for Nanoelectric Devices and Quantum Computing Fudan University Interdisciplinary center for Theoretical Physics and Information Sciences Fudan University

In biological neural systems, noise is ubiquitous but does not affect the correct decisions made in the complex cognitive ***-making in biological neural system is typically achieved by accumulating input information over a period of *** by recent developments in neurosciences, we design a decision-making module based on spintronic devices, utilizing superparamagnetic tunnel junctions as artificial neurons. The feasibility of this decision-making module is verified through circuit simulations. Taking a multi-layer perceptron as an example, the module significantly improves the accuracy of the perceptron in the handwritten digit recognition task. Furthermore, the spintronic decision-making module offers advantages over the conventional pooling methods, such as adaptive decision time, high performance and the absence of analog-to-digital conversion. The decision-making module is flexible to be integrated into artificial neural networks and provides a general yet effective solution to enhance performance against device noise.

关键词： neuromorphic computing spintronics magnetic tunnel junction neural networks

Robustness evaluation method for unmanned aerial vehicle swarms based on complex network theory

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Chinese Journal of Aeronautics 2020年第1期33卷 352-364页

作者： Xiaohong WANG Yuan ZHANG Lizhi WANG Dawei LU Guoqi ZENG School of Reliability and systems Engineering Beihang UniversityBeijing 100083China unmanned system Institute Beihang UniversityBeijing 100083China Key Laboratory of advanced Technology of Intelligent unmanned Flight system of Ministry of Industry and Information Technology Beijing 100083China

unmanned Aerial Vehicle(UAV)swarms have been foreseen to play an important role in military applications in the future,wherein they will be frequently subjected to different disturbances and destructions such as attacks and equipment ***,a sophisticated robustness evaluation mechanism is of considerable importance for the reliable functioning of the UAV ***,their complex characteristics and irregular dynamic evolution make them extremely challenging and uncertain to evaluate the robustness of such a *** this paper,a complex network theory-based robustness evaluation method for a UAV swarming system is *** method takes into account the dynamic evolution of UAV swarms,including dynamic reconfiguration and information *** paper analyzes and models the aforementioned dynamic evolution and establishes a comprehensive robustness metric and two evaluation *** robustness evaluation method and algorithms considering dynamic reconfiguration and information correlation are ***,the validity of the proposed method is verified by conducting a case study *** results can further provide some guidance and reference for the robust design,mission planning and decision-making of UAV swarms.

关键词： Complex networks Dynamic reconfiguration Information correlation Robustness evaluation unmanned Aerial Vehicles(UAV)

Metabolic reprogramming: a new option for the treatment of spinal cord injury

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Neural Regeneration Research 2025年第4期20卷 1042-1057页

作者： Jiangjie Chen Jinyang Chen Chao Yu Kaishun Xia Biao Yang Ronghao Wang Yi Li Kesi Shi Yuang Zhang Haibin Xu Xuesong Zhang Jingkai Wang Qixin Chen Chengzhen Liang Department of Orthopedics The Second Affiliated Hospital of Zhejiang University School of MedicineHangzhouZhejiang ProvinceChina Orthopedics Research Institute of Zhejiang University Zhejiang UniversityHangzhouZhejiang ProvinceChina Key Laboratory of Motor system Disease Research and Precision Therapy of Zhejiang Province HangzhouZhejiang ProvinceChina Clinical Research center of Motor system Disease of Zhejiang Province HangzhouZhejiang ProvinceChina Qiandongnan Prefecture People’s Hospital KailiGuizhou ProvinceChina Department of Orthopedics Fourth Medical CenterChinese PLA General HospitalBeijingChina

Spinal cord injuries impose a notably economic burden on society,mainly because of the severe after-effects they *** the ongoing development of various therapies for spinal cord injuries,their effectiveness remains ***,a deeper understanding of metabolism has opened up a new therapeutic opportunity in the form of metabolic *** this review,we explore the metabolic changes that occur during spinal cord injuries,their consequences,and the therapeutic tools available for metabolic *** spinal cord metabolism is characterized by independent cellular metabolism and intercellular metabolic ***,spinal cord injury results in metabolic disorders that include disturbances in glucose metabolism,lipid metabolism,and mitochondrial *** metabolic disturbances lead to corresponding pathological changes,including the failure of axonal regeneration,the accumulation of scarring,and the activation of *** rescue spinal cord injury at the metabolic level,potential metabolic reprogramming approaches have emerged,including replenishing metabolic substrates,reconstituting metabolic couplings,and targeting mitochondrial therapies to alter cell *** available evidence suggests that metabolic reprogramming holds great promise as a next-generation approach for the treatment of spinal cord *** further advance the metabolic treatment of the spinal cord injury,future efforts should focus on a deeper understanding of neurometabolism,the development of more advanced metabolomics technologies,and the design of highly effective metabolic interventions.

关键词： axons glycolysis metabolic reprogramming metabolism mitochondria neural regeneration neuroprotection oxidative phosphorylation spinal cord injury therapy

An approach for formation design and flight performance prediction based on aerodynamic formation unit:Energy-saving considerations

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Chinese Journal of Aeronautics 2024年第3期37卷 77-91页

作者： Nanxuan QIAO Tielin MA Xiangsheng WANG Jie WANG Jingcheng FU Pu XUE School of Aeronautic Science and Engineering Beihang UniversityBeijing 100191China Institute of unmanned system Beihang UniversityBeijing 100191China Key Laboratory of advanced Technology of Intelligent unmanned Flight system Ministry of Industry and Information TechnologyBeijing 100191China School of Transportation Science and Engineering Beihang UniversityBeijing 102206China beijing Institute of Space Long March Vehicle Beijing 100076China

The performance improvement of swarm drones through aerodynamic shape optimization may be challenging due to folded size constraints imposed by the specific launch ***,fixed-wing aircraft swarms can benefit from formation flight in terms of energy *** study introduces the concept of the"aerodynamic formation unit",which consists of two or three aircraft that form an inseparable unit of the *** the unmanned Aerial Vehicle(UAV)distribution and wingtip vortex interference in the formation,two typical aerodynamic formation units are optimized by the variable-fidelity aerodynamic optimization method based on space *** aerodynamic characteristics of the formation UAVs that affect flight performance,such as lift-to-drag ratio(L/D ratio)and static stability are analyzed by Computational Fluid Dynamics(CFD)*** L/D ratio(cruising condition)of the following aircraft can be increased by 22.8%and 57.5%in the optimal units that involve two and three aircraft ***,this study conducts several CFD simulations for multi-aircraft formations formed by the units,which show that the average L/D ratio of the formation can be improved by more than 19%.These results verify the feasibility and effectiveness of the"aerodynamic formation unit"concept and the optimization framework for formation parameters.

关键词： Formation flight CFD Aerodynamic formation unit Wingtip vortices Foldable tandem-wing aircraft

unmanned aerial vehicle swarm mission reliability modeling and evaluation method oriented to systematic and networked mission

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Chinese Journal of Aeronautics 2021年第2期34卷 466-478页

作者： Lizhi WANG Xuejiao ZHAO Yuan ZHANG Xiaohong WANG Tielin MA Xia GAO unmanned system Institute Beihang UniversityBejing 100083China School of Reliability and systems Engineering Beihang UniversityBeijing 100083China Digital Twinning and system Engineering Research center Yunnan Innovation InstituteBeihang UniversityBejing 650233China Key Laboratory of advanced Technology of Intelligent unmanned Flight system of M inistry of Industry and Information Technology Beijing 100083China School of Astronautics Beihang UniversityBejing 100083China

With the development of unmanned Aerial Vehicle(UAV) system autonomy, network communication technology and group intelligence theory, mission execution in the form of a UAV swarm will be an important realization of future applications. Traditional single-UAV mission reliability modeling methods have been unable to meet the requirements of UAV swarm mission reliability modeling. Therefore, the UAV swarm mission reliability modeling and evaluation method is proposed. First, aimed at the interdependence among the multiple layers, a multi-layer network model of a UAV swarm is established. At the same time, based on the system having the following characteristics—using a mission chain to complete the mission and applying the connectivity of the mission network—the mission network model of a UAV swarm is established. Second, vulnerability and connectivity are selected as two indicators to reflect the reliability of the mission, and aimed at random attack and deliberate attack, vulnerability and connectivity evaluation methods are proposed. Finally, the validity and accuracy of the constructed model are verified through simulations,and the model and selected indicators can meet the reliability requirements of the UAV swarm mission. In this way, this study provides quantitative reference for UAV-swarm-related decisionmaking work and supports the development of UAV-swarm-related work.

关键词： Complex networks Connectivity Mission reliability unmanned Aerial Vehicles(UAV) Vulnerability

Diffusion mechanism simulation of cloud manufacturing complex network based on cooperative game theory

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Journal of systems Engineering and Electronics 2018年第2期29卷 321-335页

作者： GENG Chao QU Shiyou XIAO Yingying WANG Mei SHI Guoqiang LIN Tingyu XUE Junjie JIA Zhengxuan Economics and Management School Harbin Institute of Technology at Weihai beijing Complex Product advanced Manufacturing Engineering Research center Beijing Simulation Center State Key Laboratory of Intelligent Manufacturing system Technology Beijing Institute of Electronic System Engineering Science and Technology on Space system Simulation Laboratory Beijing Simulation Center

Cloud manufacturing is a specific implementation form of the "Internet + manufacturing" strategy. Why and how to develop cloud manufacturing platform(CMP), however, remains the key concern of both platform operators and users. A microscopic model is proposed to investigate advantages and diffusion forces of CMP through exploration of its diffusion process and mechanism. Specifically, a three-stage basic evolution process of CMP is innovatively proposed. Then, based on this basic process, a more complex CMP evolution model has been established in virtue of complex network theory, with five diffusion forces identified. Thereafter, simulations on CMP diffusion have been conducted. The results indicate that, CMP possesses better resource utilization,user satisfaction, and enterprise utility. Results of simulation on impacts of different diffusion forces show that both the time required for CMP to reach an equilibrium state and the final network size are affected simultaneously by the five diffusion forces. All these analyses indicate that CMP could create an open online cooperation environment and turns out to be an effective implementation of the "Internet + manufacturing" strategy.

关键词： complex network cloud manufacturing innovation diffusion network effect Gale-Shapley algorithm cooperative game theory

An SDN/NFV Based Framework for Management and Deployment of Service Based 5G Core Network

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China Communications 2018年第10期15卷 86-98页

作者： Lu Ma Xiangming Wen Luhan Wang Zhaoming Lu Raymond Knopp beijing Key Laboratory of Network system Architecture and Convergence Beijing University of Posts and Telecommunications Beijing 100876 China beijing advanced Innovation center for Future Internet Technology Beijing 100124 China Communication system Department EURECOM Biot 06410 France

The traffic explosion and the rising of diverse requirements lead to many challenges for traditional mobile network architecture on flexibility, scalability, and deployability. To meet new requirements in the 5 G era, service based architecture is introduced into mobile networks. The monolithic network elements(e.g., MME, PGW, etc.) are split into smaller network functions to provide customized services. However, the management and deployment of network functions in service based 5 G core network are still big challenges. In this paper, we propose a novel management architecture for 5 G service based core network based on NFV and SDN. Combined with SDN, NFV and edge computing, the proposed framework can provide distributed and on-demand deployment of network functions, service guaranteed network slicing, flexible orchestration of network functions and optimal workload allocation. Simulations are conducted to show that the proposed framework and algorithm are effective in terms of reducing network operating cost.

关键词： service based architecture 5G core network SDN NFV workload allocation

Analysis of overload-based cascading failure in multilayer spatial networks

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Chinese Physics B 2020年第9期29卷 404-414页

作者： Min Zhang Xiao-Juan Wang Lei Ji Mei Song Zhong-Hua Liao School of Science Beijing University of Posts and TelecommunicationsBeijing 100876China School of Electronic Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China beijing Complex Product advanced Manufacturing Engineering Research center Beijing Simulation CenterBeijing 100854China State Key Laboratory of Intelligent Manufacturing system Technology Beijing Institute of Electronic System EngineeringBeijing 100854China

Many complex networks in real life are embedded in space and most infrastructure networks are interdependent,such as the power system and the transport *** this paper,we construct two cascading failure models on the multilayer spatial *** our research,the distance l between nodes within the layer obeys the exponential distribution P(l)~exp(-l/ζ),and the length r of dependency link between layers is defined according to node *** entropy approach is applied to analyze the spatial network structure and reflect the difference degree between *** metrics,namely dynamic network size and dynamic network entropy,are proposed to evaluate the spatial network robustness and *** the cascading failure process,the spatial network evolution is analyzed,and the numbers of failure nodes caused by different reasons are also counted,***,we discuss the factors affecting network *** demonstrate that the larger the values of average degree,the stronger the network *** the length r decreases,the network performs *** the probability p is small,asζdecreases,the network robustness becomes more *** p is large,the network robustness manifests better performance asζ*** results provide insight into enhancing the robustness,maintaining the stability,and adjusting the difference degree between nodes of the embedded spatiality systems.

关键词： cascading failure multilayer network load distribution spatial network entropy

Research on flame classification and recognition based on object detection and similarity fusion

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The Journal of China Universities of Posts and Telecommunications 2021年第5期28卷 59-67页

作者： He Xin Zhou Junhua Liao Zhonghua Zhai Xiang Sun Siyuan School of Electronic Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China beijing Complex Product advanced Manufacturing Engineering Research center Beijing Simulation CenterBeijing 100854China State Key Laboratory of Intelligent Manufacturing system Technology Beijing Institute of Electronic System EngineeringBeijing 100854China

The color, shape, and other appearance characteristics of the flame emitted by different flame engines are different. In order to make a preliminary judgment on the category of the device to which it belongs through studying exterior characteristics of the flame, this paper uses the flame of matches, lighters, and candles to simulate different types of flames. It is hoped that the flames can be located and classified by detecting the characteristics of flames using the object detection algorithm. First, different types of fire are collected for the dataset of experiments. The mmDetection toolbox is then used to build several different object detection frameworks, in which the dataset can be trained and tested. The object detection model suitable for this kind of problem is obtained through the evaluation index analysis. The model is ResNet50-based faster-region-convolutional neural network(Faster R-CNN), whose mean average-precision(mAP) is 93.6%. Besides, after clipping the detected flames through object detection, a similarity fusion algorithm is used to aggregate and classify the three types of flames. Finally, the color components are analyzed to obtain the red, green, blue(RGB) color histograms of the three flames.

关键词： flame classification object detection similarity fusion