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Semantic segmentation of track image based on deep neural network

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The Journal of China Universities of Posts and Telecommunications 2020年第5期27卷 23-33页

作者： Wang Zhaoying zhou junhua Liao Zhonghua Zhai Xiang Zhang Lianping School of Electronic Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China Beijing Complex Product Advanced Manufacturing Kngineering Research Center Beijing Simulation CenterBeijing 100854China State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System EngineeringBeijing 100854China Alibaba Cloud Computing Beijing 100020China

In this paper,deep learning technology was utilited to solve the railway track recognition in intrusion detection *** railway track recognition can be viewed as semantic segmentation task which extends image processing to pixel level *** encoder-decoder architecture DeepLabv3+model was applied in this work due to its good performance in semantic segmentation *** images of the railway track collected from the video surveillance of the train cab were used as experiment dataset in this work,the following improvements were made to the *** first aspect deals with over-fitting problem due to the limited amount of training *** augmentation and transfer learning are applied consequently to rich the diversity of data and enhance model robustness during the training ***,different gradient descent methods are compared to obtain the optimal optimizer for training model *** third problem relates to data sample imbalance,cross entropy(CE)loss is replaced by focal loss(FL)to address the issue of serious imbalance between positive and negative *** of the improved DeepLabv3+model with above solutions is demonstrated by experiment results with different system parameters.

关键词： railway track recognition convolutional neural networks semantic segmentation DeepLabv3+

A DQN-Based Cache Strategy for Mobile Edge Networks

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Computers, Materials & Continua 2022年第5期71卷 3277-3291页

作者： Siyuan Sun junhua zhou Jiuxing Wen Yifei Wei Xiaojun Wang School of Electronic Engineering Beijing University of Posts and TelecommunicationsBeijing100876China State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System EngineeringBeijing100854China Ningbo Sunny Intelligent Technology Co. LTDYuyao315400China Dublin City University Dublin 9Ireland

The emerging mobile edge networks with content caching capability allows end users to receive information from adjacent edge servers directly instead of a centralized data warehouse,thus the network transmission delay and system throughput can be improved *** the duplicate content transmissions between edge network and remote cloud can be reduced,the appropriate caching strategy can also improve the system energy efficiency of mobile edge networks to a great *** paper focuses on how to improve the network energy efficiency and proposes an intelligent caching strategy according to the cached content distribution model for mobile edge networks based on promising deep reinforcement learning *** deep neural network(DNN)and Q-learning algorithm are combined to design a deep reinforcement learning framework named as the deep-Q neural network(DQN),in which the DNN is adopted to represent the approximation of action-state value function in the Q-learning *** parameters iteration strategies in the proposed DQN algorithm were improved through stochastic gradient descent method,so the DQN algorithm could converge to the optimal solution quickly,and the network performance of the content caching policy can be *** simulation results show that the proposed intelligent DQN-based content cache strategy with enough training steps could improve the energy efficiency of the mobile edge networks significantly.

关键词： Mobile edge network edge caching energy efficiency

Learning robust features by extended generative stochastic networks

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International Journal of Modeling, Simulation, and Scientific Computing 2018年第1期9卷 135-145页

作者： Da Teng Xiao Song Guanghong Gong junhua zhou School of Automation Science and Electrical Engineering Beihang University P.R.China State Key Laboratory of Intelligent Manufacturing System Technology P.R.China

Deep neural networks have achieved state-of-the-art performance on many object recognition tasks,but they are vulnerable to small adversarial *** this paper,several extensions of generative stochastic networks(GSNs)are proposed to improve the robustness of neural networks to random noise and adversarial *** results show that compared to normal GSN method,the extensions using adversarial examples,lateral connections and feedforward networks can improve the performance of GSNs by making the models more resistant to overfitting and noise.

关键词： Machine learning deep learning neural networks adversarial examples

Effect of core stability training on balance in elderly women

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Family Medicine and Community Health 2014年第4期2卷 48-52页

作者： Zhumei Shi junhua zhou College of Physical Education Ludong UniversityYantai 264025China

Objective:The study investigated the effect of core stability training on balance in elderly ***:Sixty female volunteers 61-70 years of age were divided into training(n=30)and control groups(n=30).Core stability training was given to patients in the training group,and walk-ing exercise was given to patients in the control *** function of static and dynamic balance was detected before training and 30 weeks after ***:The time of standing on one foot with eyes closed after training in the training group was significantly longer than the control group,and the stellate balance test with stretching the lower limbs straight ahead,behind,and laterally in the training group was significantly better than the control *** performance of two lower limbs during the training in the straight ahead di-rection,behind,and to the outer side in the training group was significantly better than the control *** differences also occurred when the left leg was supported on the outer rear,and the right leg was supported on the medial front and ***:Core stability training is more beneficial than walking exercises in improving balance in elderly women.

关键词： Core stability training Elderly women Balance

Biomass Template Derived Boron/Oxygen Co-Doped Carbon Particles as Advanced Anodes for Potassium-Ion Batteries

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Energy & Environmental Materials 2022年第1期5卷 344-352页

作者： Xueyu Lian Zhongti Sun Qingqing Mei Yuyang Yi junhua zhou Mark H.Rummeli Jingyu Sun College of Energy Soochow Institute for Energy and Materials InnovationS(SIEMIS)Key Laboratory of Advanced Carbon Materials and Wearable Energy Technologies of Jiangsu ProvinceSoochow UniversitySuzhou 215006China Department of Chemistry University of ManchesterManchester M139PLUK Leibniz Institute for Solid State and Materials Research Dresden P.O.Box 270116Dresden D-01171Germany Centre of Polymer and Carbon Materials Polish Academy of SciencesM.Curie-Sklodowskiej 34Zabrze 41-819Poland Institute of Environmental Technology VSB-Technical University of Ostrava17.Listopadu 15Ostrava 70833Czech Republic Beijing Graphene Institute(BGI) Beijing 100095China

Among various anode candidates for potassium-ion batteries,carbonaceous materials have attracted significant attention due to their overwhelming advantages including cost-effectiveness and environmental ***,the inferior specific capacity and the sluggish reaction kinetics hinder the further development in this ***,we report biomass templated synthesis of boron/oxygen heteroatom co-doped carbon particles(BO-CPs)via direct plasma-enhanced chemical vapor *** the combined advantages of abundant active sites,large accessible surface area,and functional groups,BO-CP anode exhibits high reversible specific capacity(426.5 mAh g^(-1)at 0.1 A g^(-1))and excellent rate performance(166.5 mAh g^(-1)at 5 A g^(-1)).The K-ion storage mechanism is probed by operando Raman spectroscopy,ex situ X-ray photoelectron spectroscopy/electrochemical impedance spectroscopy,galvanostatic intermittent titration technique measurements,and theoretical *** synergistic effect of boron and oxygen co-doping greatly facilitates the performance of carbon-based anode,wherein boron dopant improves the conductivity of carbon framework and the oxygen dopant affords ample active sites and thus harvests additional specific *** work is anticipated to propel the development of high-performance anode materials for emerging energy storage devices.

关键词： anode B/O co-doping carbon high capacity potassium-ion batteries

Control of Stray Currents in Pipeline System based on Melnikov Theory 36

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Control of Stray Currents in Pipeline System based on Melnik...

Synergistic protection of Si anode based on multi-dimensional graphitic carbon skeletons

第36届中国控制会议

作者： Peng Wang Bohu Li Guoqiang Shi junhua zhou School of Automation Science and Electrical Engineering BeiHang University Beijing Complex Product Advanced Manufacturing Engineering Research Center Beijing Simulation Center State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System Science and Technology on Space System Simulation Laboratory Beijing Simulation Center

ISBN: (纸本)9781538629185

The pipeline network interfered by the stray currents has been verified to be a complex nonlinear dynamical *** paper shows that the chaotic characteristic could be utilized in the stray currents *** prove this,this paper establishes an equivalent chaotic control *** we analyze this model by using Melnikov method and find out the condition under which the chaotic phenomenon will be *** order to get a sufficient proof for identifying the conclusion,simulation experiments are used to verify the validity of the control method.

关键词： stray currents chaos control Melnikov

来源： cnki会议评论

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Nano Research 2022年第9期15卷 8146-8155页

作者： Qitao Shi Haiming Wang junhua zhou HuyQuang Ta Jiaqi Wang Xueyu Lian Klaudia Kurtyka Barbara Trzebicka Thomas Gemming Mark H.Rümmeli Soochow Institute for Energy and Materials Innovation College of EnergyKey Laboratory of Advanced Carbon Materials and Wearable Energy Technologies of Jiangsu ProvinceSoochow UniversitySuzhou 215006China Institute for Complex Materials IFW Dresden20 Helmholtz StrasseDresden 01069Germany Centre of Polymer and Carbon Materials Polish Academy of SciencesM.Curie-Sklodowskiej 34Zabrze 41-819Poland Thomas Gemming-Institute of Environmental Technology VSB-Technical University of Ostrava17.Listopadu 15Ostrava 70833Czech Republic

Inspired by the natural corn structure,a Si@hollow graphene shell@graphene(Si@GS@G)anode material was prepared in which silicon nanoparticles were preliminarily anchored onto the surface of an elastic graphene shell and further constrained using graphene *** graphene oxide shells with abundant surficial hydrogen bonds,which were synthesized using a novel bottom-up method,were used as an intermediate material to anchor positively charged silicon nanoparticles via electrostatic attraction and achieve a rational spatial *** inner hollow graphene shell anchorage and outer graphene constraint synergistically constituted a porous and robust conductive corn-like *** as-fabricated Si@GS@G anode afforded efficient electron and ion transport pathways and improved structural stability,thereby enhancing Li+storage capability(505 mAh·g^(−1)at 10 A·g^(−1))and extending the lifespan compared to the single hollow graphene shell or graphene sheet-protected Si anode(72%capacity retention after 500 cycles).The improved kinetics of the Si@GS@G anode were investigated using electro impedance spectroscopy,galvanostatic intermittent titration,and pseudocapacitance contribution rate analysis,and the structural evolution was analyzed using ex situ electron *** study proposes a novel hollow graphene oxide shell as an activated intermediate material for designing a porous electrode structure that facilitates an enhanced electrochemical performance.

关键词： synergistic protection multi-dimensional graphitic carbons corn-like structure elastic skeleton Si/C anode

终身教育发展保障机制研究:基于国际比较的视角

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教育学术月刊 2016年第4期 67-73页

作者：周俊华高等教育出版社

美国、欧洲、韩国和日本等国家和地区在终身教育方面起步较早,已经建构了相对成熟完善的立体化终身教育框架体系。相对而言,中国终身教育起步较晚,尚处于发展阶段,大众对终身教育的认识不够深刻。借鉴国外的终身教育立法化、管理分级化... 详细信息

美国、欧洲、韩国和日本等国家和地区在终身教育方面起步较早,已经建构了相对成熟完善的立体化终身教育框架体系。相对而言,中国终身教育起步较晚,尚处于发展阶段,大众对终身教育的认识不够深刻。借鉴国外的终身教育立法化、管理分级化、实施人性化的成功经验,国内终身教育发展需要国家进行终身教育的专门立法,提高全民终身教育意识,促进区域性合作,要逐步建立区域性、全国性、国际性的学分转换体系。同时,国内终身教育需要关注弱势群体,课程设置不局限于学历教育和职业技能教育,以达到全民参与、全面提高的目的。

关键词：终身教育教育立法学习型社会全面教育

民族区域自治对陆地边疆治理的资源、问题与完善

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云南行政学院学报 2018年第5期20卷 27-33页

作者：周俊华云南大学公共管理学院云南昆明650000

我国独具特色的边疆民族构成和民族区域自治的制度内涵决定了民族区域自治制度在陆疆治理中拥有重要资源,奠定了制度基础和国家权威,在施行中构建起行之有效的陆疆治理模式,发挥着重要功能。回应实践中遇到的问题,如对"自治"和"自治权"... 详细信息

我国独具特色的边疆民族构成和民族区域自治的制度内涵决定了民族区域自治制度在陆疆治理中拥有重要资源,奠定了制度基础和国家权威,在施行中构建起行之有效的陆疆治理模式,发挥着重要功能。回应实践中遇到的问题,如对"自治"和"自治权"认识不足或滥用,边疆社会与社会整体发展水平差距较大,边疆的"外缘化"、"边疆化"倾向,边疆政治生态脆弱等,需要制度创新和发展,以适应新阶段民族发展和陆疆治理的新需求。将陆疆治理与民族区域自治有机结合,充分发挥民族区域自治对陆疆治理拥有的资源和优势,彰显其功能,是当前民族区域自治制度完善与发展的一个重要维度。

关键词：民族区域自治陆地边疆治理资源完善