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International Conference on Mechanical, Control and Computer engineering (ICMCCE)

作者： Qiang Qu Hongtao Yu ruiyang Huang National Digital Switching System Engineering & Technological R&D Center Zhengzhou China

The following topics are dealt with: feature extraction; control system synthesis; learning (artificial intelligence); production engineering computing; three-term control; design engineering; optimisation; pattern cl... 详细信息

关键词： Handheld computers Security Event detection Process control

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Hardware Acceleration resource Allocation Mechanism for VNF

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Procedia Computer Science 2018年 131卷 746-755页

作者： Hongwei Fan Yuxiang Hu Shaojun Zhang Quan ren National Digital Switching System Engineering & Technological R&D Center Kim Street No. 7 Zhengzhou 450000 China

Improving the performance for VNF (Virtualized Network Function) by hardware acceleration is a hot research topic in SdN/NFV architecture. After introducing the acceleration resource for VNF, how to implement uniform deployment and allocation of the acceleration resources is an urgent problem to be solved. Thus in this paper, a unified deployment architecture of acceleration resource for VNF is proposed firstly. On the basis of architecture, the problem of acceleration resource allocation is modeled. By analyzing the influence of acceleration resource for VNF on deployment of service chains, we propose the evaluation index of acceleration resource allocation algorithm for VNF. Finally, we design a two-stage acceleration resource allocation algorithm to solve the problem. The experimental results show that the proposed algorithm can rationally allocate acceleration resources to nodes in the entire network and improve the efficiency of acceleration resource utilization.

关键词： SdN/NFV Virtualized Network Function Hardware Acceleration resource Allocation

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dynamic Phase Enabled Topological Mode Steering in Composite Su-Schrieffer-Heeger Waveguide Arrays

arXiv

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arXiv 2024年

作者： Tang, Min Pang, Chi Saggau, Christian N. dong, Haiyun Lee, Ching Hua Thomale, ronny Klembt, Sebastian Fulga, Ion Cosma Van den Brink, Jeroen Vaynzof, Yana Schmidt, Oliver G. Wang, Jiawei Ma, Libo Leibniz Institute for Solid State and Materials Research Dresden Helmholtzstraße 20 Dresden01069 Germany Key Laboratory of Photochemistry Institute of Chemistry Chinese Academy of Sciences Beijing100190 China Department of Physics National University of Singapore Singapore117551 Singapore Institut für Theoretische Physik und Astrophysik Universität Würzburg Würzburg97074 Germany Technische Physik Physikalisches Institut Wilhelm Conrad Roentgen-Research Center for Complex Material System Universität Würzburg Würzburg D-97074 Germany Institute for Theoretical Physics Technische Universität Dresden Dresden01069 Germany Technical University of Dresden Nöthnitzer Str. 61 Dresden01187 Germany TU Chemnitz Chemnitz09126 Germany TU Chemnitz Chemnitz09107 Germany School of Science TU Dresden Dresden01062 Germany School of Electronic and Information Engineering Harbin Institute of Technology Guangdong Shenzhen518055 China

Topological boundary states localize at interfaces whenever the interface implies a change of the associated topological invariant encoded in the geometric phase. The generically present dynamic phase, however, which is energy and time dependent, has been known to be non-universal, and hence not to intertwine with any topological geometric phase. Using the example of topological zero modes in composite Su-Schrieffer-Heeger (c-SSH) waveguide arrays with a central defect, we report on the selective excitation and transition of topological boundary mode based on dynamic phase-steered interferences. Our work thus provides a new knob for the control and manipulation of topological states in composite photonic devices, indicating promising applications where topological modes and their bandwidth can be jointly controlled by the dynamic phase, geometric phase, and wavelength in on-chip topological devices. Copyright © 2024, The Authors. All rights reserved.

关键词： Topology

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Estimating Aboveground Carbon dynamic of China Using Optical and Microwave remote-Sensing datasets from 2013 to 2019

Journal of Remote Sensing

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Journal of remote Sensing 2023年第1期3卷 19-34页

作者： Zhongbing Chang Lei Fan Jean-Pierre Wigneron Ying-Ping Wang Philippe Ciais Jérôme Chave rasmus Fensholt Jing MChen Wenping Yuan Weimin Ju Xin Li Fei Jiang Mousong Wu Xiuzhi Chen Yuanwei Qin Frédéric Frappart Xiaojun Li Mengjia Wang Xiangzhuo Liu Xuli Tang Sanaa Hobeichi Mengxiao Yu Mingguo Ma Jianguang Wen Qing Xiao Weiyu Shi dexin Liu Junhua Yan Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems South China Botanical GardenChinese Academy of SciencesGuangzhou 510650China University of Chinese Academy of Sciences Beijing 100049China Chongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station School of Geographical SciencesSouthwest UniversityChongqing 400715China INRAE UMR1391 ISPAUniversite de BordeauxF-33140 Villenave d’OrnonFrance CSIRO Oceans and Atmosphere AspendaleVIC 3195Australia Laboratoire des Sciences du Climat et de l’Environnement CEA/CNRS/UVSQ/Universite Paris SaclayGif-sur-YvetteFrance Laboratoire Evolution et Diversite Biologique Universite Paul SabatierToulouseFrance Department of Geosciences and Natural Resource Management University of CopenhagenCopenhagenDenmark Department of Geography and Program in Planning University of TorontoTorontoON M5S 3G3Canada College of Geographical Science Fujian Normal UniversityFuzhou 3500007FujianChina School of Atmospheric Sciences Sun Yat-sen UniversityZhuhai 519082GuangdongChina Southern Marine Science and Engineering Guangdong Laboratory Zhuhai 519000GuangdongChina Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology International Institute for Earth System ScienceNanjing UniversityNanjing 210023China Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application Nanjing 210023China Institute of Tibetan Plateau Research Chinese Academy of SciencesBeijing 100101China CAS Center for Excellence in Tibetan Plateau Earth Sciences Chinese Academy of SciencesBeijing 100101China Department of Microbiology and Plant Biology Center for Spatial AnalysisUniversity of OklahomaNormanOKUSA LEGOS Universite de ToulouseCNESCNRSIRDUPS-14 avenue Edouard Belin31400 ToulouseFrance State Key Laboratory of Remote Sensing Science Faculty of Geographical ScienceBeijing Normal UniversityBeijing 100875China Climate Change Research Centre University of N

Over the past 2 to 3 decades,Chinese forests are estimated to act as a large carbon sink,yet the magnitude and spatial patterns of this sink differ considerably among *** 3 microwave(L-and X-band vegetation optical depth[VOd])and 3 optical(normalized difference vegetation index,leaf area index,and tree cover)remote-sensing vegetation products,this study compared the estimated live woody aboveground biomass carbon(AGC)dynamics over China between 2013 and *** results showed that tree cover has the highest spatial consistency with 3 published AGC maps(mean correlation value r=0.84),followed by L-VOd(r=0.83),which outperform the other *** AGC estimation model was proposed to combine all indices to estimate the annual AGC dynamics in China during 2013 to *** performance of the AGC estimation model was good(root mean square error=0.05 Pg C and r^(2)=0.90 with a mean relative uncertainty of 9.8% at pixel scale[0.25°]).results of the AGC estimation model showed that carbon uptake by the forests in China was about+0.17 Pg C year^(-1) from 2013 to *** the regional level,provinces in southwest China including Guizhou(+22.35 Tg C year^(-1)),Sichuan(+14.49 Tg C year^(-1)),and Hunan(+11.42 Tg C year^(-1))provinces had the highest carbon sink rates during 2013 to *** of the carbon-sink regions have been afforested recently,implying that afforestation and ecological engineering projects have been effective means for carbon sequestration in these regions.

关键词： estimation remote microwave

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Knowledge distillation for Machine Translation

Knowledge Distillation for Machine Translation

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2018 2nd International Conference on Computer Science and Intelligent Communication(CSIC 2018)

作者： Zhen Li dan Qu Chaojie Xie Xuejuan Wei National Digital Switching System Engineering & Technological R&D Center P.R.China

Encoder-to-decoder is a newly architecture for Neural Machine Translation(NMT). Convolutional Neural Network(CNN) based on this framework has gained significant success in NMT task. Challenges remain in the practical use of CNN model, which is in need of bilingual sentence pairs for training and each bilingual data is designed for CNN translation model needing retraining. Although some successful performance has been reported, it is an important research direction to avoid model overfitting caused by the scarcity of parallel corpus. The paper introduces a simple and efficient knowledge distillation method for regularization to solve CNN training overfitting problems by transferring the knowledge of source model to adapted model on low-resource languages in NMT task. The experiment on English-Czech dataset result shows that our model solve the over fitting problem, get better generalization, and improve the performance of a low-resource languages translation task.

关键词： Neural Machine Translation (NMT) Convolutional Neural Network (CNN) knowledge distillation encoder-decoder low-resource

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An Equivalent Scheduling Strategy for Cyberspace Mimicry defense Based on Security Priority

An Equivalent Scheduling Strategy for Cyberspace Mimicry Def...

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International Conference on Advanced Mechatronic systems (ICAMechS)

作者： Ke Song SHuai Wei WenJian Zhang LiBo Tan NDSC National Digital Switching System Engineering & Technological R&D Center Zhengzhou China

With the continuous development and popularization of network equipment and services, people's dependence on cyberspace is becoming stronger and stronger, and the importance of network security is becoming more and more prominent. Mimic defense is based on the system architecture of dynamic heterogeneous redundancy. data is sent to multiple heterogeneous functional equivalents through the input agents, and then the response of heterogeneous functional equivalents is judged according to a certain arbitration policy by the output agent. The abnormal output of a functional equivalent can be effectively eliminated, enabling the system to achieve intrusion prevention against unknown system vulnerabilities or backdoors. This paper analyzes the effect of the isomorphism of functional equivalents on system security, and proposes a mimic method based on the equivalence of mimicry maximization. Experiments have shown that the effectiveness of security defense can be significantly improved.

关键词： Security Computer architecture Cyberspace redundancy Software dynamic scheduling Optimal scheduling

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N-fold Superposition: Improving Neural Networks by reducing the Noise in Feature Maps

arXiv

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arXiv 2018年

作者： Liu, Yang Qu, Qiang Gao, Chao National Digital Switching System Engineering & Technological R&D Center Zhengzhou450002 China

Considering the use of Fully Connected (FC) layer limits the performance of Convolutional Neural Networks (CNNs), this paper develops a method to improve the coupling between the convolution layer and the FC layer by reducing the noise in Feature Maps (FMs). Our approach is divided into three steps. Firstly, we separate all the FMs into n blocks equally. Then, the weighted summation of FMs at the same position in all blocks constitutes a new block of FMs. Finally, we replicate this new block into n copies and concatenate them as the input to the FC layer. This sharing of FMs could reduce the noise in them apparently and avert the impact by a particular FM on the specific part weight of hidden layers, hence preventing the network from overfitting to some extent. Using the Fermat Lemma, we prove that this method could make the global minima value range of the loss function wider, by which makes it easier for neural networks to converge and accelerates the convergence process. This method does not significantly increase the amounts of network parameters (only a few more coefficients added), and the experiments demonstrate that this method could increase the convergence speed and improve the classification performance of neural networks. Copyright © 2018, The Authors. All rights reserved.

关键词： Image classification

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A Timeout Threshold Estimation Algorithm Based on Equivalent Proportional Execution Time

A Timeout Threshold Estimation Algorithm Based on Equivalent...

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International Conference on Advanced Mechatronic systems (ICAMechS)

作者： Bo Zhao Shengzhao Ye Chong Wang Senjie Lin National Digital Switching System Engineering & Technological R&D Center NDSC Zhengzhou China

A timeout threshold estimation algorithm is proposed which apply in mimic defense systems to reduce the waiting time when timeout is happened. It is inspired by the fact that there is a linear relationship in task execution time of a set of heterogeneous executors in mimic defense systems. Experiment results show that our algorithm can generate a specific timeout threshold for each task with high computational efficiency and is particularly suitable for the scene in which the number of arriving tasks changes drastically.

关键词： Task analysis Mathematical model Estimation Field programmable gate arrays Prediction algorithms data processing Servers

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Medical Additive Manufacturing: From a Frontier technology to the research and development of Products

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engineering 2020年第11期6卷 1217-1221页

作者： Guixing Qiu Wenjiang ding Wei Tian Ling Qin Yu Zhao Lianmeng Zhang Jian Lu daijie Chen Guangyi Yuan Chengtie Wu Bingheng Lu ruxu du Jimin Chen Mo Elbestawi Zhongwei Gu dichen Li Wei Sun Yuanjin Zhao Jie He dadi Jin Bin Liu Kai Zhang Jianmo Li Kam WLeong dewei Zhao dingjun Hao Yingfang Ao Xuliang deng Huilin Yang ShaoKeh Hsu Yingqi Chen Long Li Jianping Fan Guohui Nie Yun Chen Hui Zeng Wei Chen Yuxiao Lai Department of Orthopedics Peking Union Medical College HospitalChinese Academy of Medical Science 8 Peking Union Medical CollegeBejjing 100730.China National Engineering Research Center of Light Alloys Net Forming&State Key Laboratony of Metal Matrix Composite Shanghai Jiao Tong UniversityShanghai 200240China Notional Engineering Research Center of Mg Materials and Applicarions and School of Materials Science 8r Engineering.Shanghai Jlao Tong University Shanghai 200240China Department of Spine Surgery Beijing Jishuitan HospitalBeijing 100035China Center for Troanslational Medicine Research and Development Institute of Biomedical and Health EngineeringShenzhen Insitute of Advanced Technology.Chinese Academy of SciencesShenzhen 518055China Guangdong Engineering Laboratony of Biomaterials Additive Manufacturing Guangdong 518055China Musculoskeletal Research Laboratory of the Department of Orthopedics 8 Traumatology and Innovative Orthopedic Biomaterial and Drug Translational Research Laboratory Li Ka Shing Institute of Health SciencesThe Chinese University of Hong KongHong Kong 999077.China State Key Laboratory of Advanced Technology for Materials Synthesis and Processing Wuhan University of TechnologyWuhan 430070China Center for Advanced Structural Materials City University of Hong Kong Shenzhen Research InstiuteShenzhen 518057.China Hong Kong Branch of National Precious Metals Material Engineering Research Center Department of Material Science and EngineeringCity Untiversity of Hong KongHong Kong 999077.China Department of Mechanical Engineering ity Untiversity of Hong Kong.Hong Kong 9977 China School of Pharmacy.Shanghai Jiao Tong University Shanghai 200240China China State Instute of Pharmaceutical Industry Shanghai Institute of Pharmaceutical IndustryShonghai 201203China Shanghai Innovation Instinute for Materials Shanghai 200444.China State Key Laboratory of High-Performance Ceramies and Superfine Microstructure Shanghai Institute of CeramicsChinese Acadermy 0f SciencesShanghai 200050Ch

*** and development(r&d)and the challenges of raw materials for medical additive manufacturing raw materials for medical additive manufacturing have a wide range of commonalities that are also seen in many other fields,making them an important basis in the field of three-dimensional(3d)*** and challenges related to material types,powder properties,formability,viscoelasticity,and so forth also share common *** example,many metal materials are used in the field of aviation,while metals,polymers,and inorganic materials are used in the field of *** most widely used materials in biomedicine are *** homogeneous and non-homogeneous composites are also available for 3d printing,and impose an additional challenge in additive manufacturing;the use of heterogeneous composites in 3d printing is particularly challenging.

关键词： composites printing additive

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Effect of super-fast freezing before rigor mortis on quality of bovine M. longissimus lumborum

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Meat Science 2025年 228卷 109880页

作者： Jiqiang Li Huizhen Wang rongrong Liang Yanwei Mao Xiaoyin Yang Xin Luo Lixian Zhu Yimin Zhang Lab of Beef Processing and Quality Control College of Food Science and Engineering Shandong Agricultural University Tai'an Shandong 271018 China National R&D Center for Beef Processing Technology Tai'an Shandong 271018 China International Joint Research Lab (China and Greece) of Digital Transformation as an Enabler for Food Safety and Sustainability Tai'an Shandong 271018 China Shandong Provincial Key Laboratory of Quality Safety Monitoring for Animal Products and Veterinary Drug Innovation Tai'an Shandong 271018 China

In order to explore the effects of super-fast freezing (SFF) on beef quality, conventional chilling (CC, 0 ± 2 °C) and very fast chilling (VFC, hot-boned beef loins chilled at −30 °C and then stored at 0 ± 2 °C to bring the temperature down to 0 °C within 5 h post-mortem ) were used as controls to investigate the effects of three SFF treatments (−30 °C until the core temperature decreased to −3 °C (SFF–I), −7 °C (SFF–II) and −10 °C (SFF–III), and then stored at 0 ± 2 °C until 24 h post-mortem ) on beef tenderness, meat color, water holding capacity, and other related indicators. The results showed that both SFF and VFC improved the tenderness of beef at the early stage of storage compared with CC, and of these SFF–II and SFF–III were the most effective. The SFF has the potential to reduce the cooking loss but increases the purge loss of beef. In addition, SFF has a negative effect on the meat color, but the a * value is still within the acceptable range of consumers. After being treated by SFF, the rate of beef glycolysis was delayed post-mortem . In addition, SFF treatment did not cause a large degree of shortening of sarcomere, but disrupted the muscle fiber structure, contributing to the improvement of muscle tenderness. The results indicate that pre-rigor beef muscles can be deeply frozen, which will not cause obvious shortening with proper freezing and thawing procedures.

关键词： Beef Energy metabolism Microstructure Super-fast freezing Tenderness

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