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Predicting grain size-dependent superplastic properties in friction stir processed ZK30 magnesium alloy with machine learning methods

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Journal of Magnesium and Alloys 2024年第5期12卷 1931-1943页

作者： Farid Bahari-Sambran Fernando Carreno C.M.Cepeda-jiménez Alberto Orozco-Caballero Physical Metallurgy Department CENIM-CSICAv.Gregorio del Amo 828040 MadridSpain Department of Mechanical Engineering Chemistry and Industrial DesignPolytechnic University of MadridRonda de Valencia 328012MadridSpain

The aim of this work is to predict,for the first time,the high temperature flow stress dependency with the grain size and the underlaid deformation mechanism using two machine learning models,random forest(RF)and artificial neural network(ANN).with that purpose,a ZK30 magnesium alloy was friction stir processed(FSP)using three different severe conditions to obtain fine grain microstructures(with average grain sizes between 2 and 3μm)prone to extensive superplastic *** three friction stir processed samples clearly deformed by grain boundary sliding(GBS)deformation mechanism at high *** maximum elongations to failure,well over 400% at high strain rate of 10^(-2)s^(-1),were reached at 400℃ in the material with coarsest grain size of 2.8μm,and at 300℃ for the finest grain size of 2μ***,the superplastic response decreased at 350℃ and 400℃ due to thermal instabilities and grain coarsening,which makes it difficult to assess the operative deformation mechanism at such *** work highlights that the machine learning models considered,especially the ANN model with higher accuracy in predicting flow stress values,allow determining adequately the superplastic creep behavior including other possible grain size scenarios.

关键词： Machine learning Artificial intelligence Magnesium alloys Superplasticity Friction stir processing Grain coarsening

Harnessing the power of immersive virtual reality-visualization and analysis of 3D earth science data sets

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Geo-Spatial Information Science 2019年第4期22卷 237-250,I0002页

作者： Jiayan Zhao Jan Oliver wallgrün Peter C.LaFemina jim Normandeau Alexander Klippel Department of Geography The Pennsylvania State UniversityUniversity ParkPAUSA Department of Geosciences The Pennsylvania State UniversityUniversity ParkPAUSA UNAVCO Geodetic Infrastructure UNAVCOIncBoulderCOUSA

The availability and quantity of remotely sensed and terrestrial geospatial data sets are on the ***,these data sets have been analyzed and quarried on 2D desktop computers;however,immersive technologies and specifically immersive virtual reality(iVR)allow for the integration,visualization,analysis,and exploration of these 3D geospatial data *** can deliver remote and large-scale geospatial data sets to the laboratory,providing embodied experiences of field sites across the earth and *** describe a workflow for the ingestion of geospatial data sets and the development of an iVR workbench,and present the application of these for an experience of Iceland’s Thrihnukar volcano where we:(1)combined satellite imagery with terrain elevation data to create a basic reconstruction of the physical site;(2)used terrestrial LiDAR data to provide a geo-referenced point cloud model of the magmatic-volcanic system,as well as the LiDAR intensity values for the identification of rock types;and(3)used Structure-from-Motion(SfM)to construct a photorealistic point cloud of the inside *** workbench provides tools for the direct manipulation of the georeferenced data sets,including scaling,rotation,and translation,and a suite of geometric measurement tools,including length,area,and *** developments will be inspired by an ongoing user study that formally evaluates the workbench’s mature components in the context of fieldwork and analyses activities.

关键词： Immersive virtual reality earth science data visualization workflow virtual fieldwork volcano

Underground storage tank blowout analysis:Stability prediction using an artificial neural network

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Journal of Safety Science and Resilience 2023年第4期4卷 366-379页

作者： Nhat Tan Duong Van Qui Lai jim Shiau Rungkhun Banyong Suraparb Keawsawasvong Faculty of Civil Engineering Ho Chi Minh City University of Technology(HCMUT)VNU-HCMHo Chi Minh CityVietnam School of Engineering University of Southern QueenslandToowoomba 4350QLDAustralia Research Unit in Sciences and Innovative Technologies for Civil Engineering Infrastructures Department of Civil EngineeringThammasat School of EngineeringThammasat UniversityPathumthani 12120Thailand

Most geotechnical stability research is linked to“active”failures,in which soil instability occurs due to soil self-weight and external surcharge *** contrast,research on passive failure is not common,as it is predominately caused by external loads that act against the soil *** earlier active trapdoor stability investigation using the Terzaghi’s three stability factor approach was shown to be a feasible method for evaluating cohesive-frictional soil ***,this technical note aims to expand“active”trapdoor research to assess drained circular trapdoor passive stability(blowout condition)in cohesive-frictional soil under axisymmetric *** numerical finite element limit analysis(FELA)simulations,soil cohesion,surcharge,and soil unit weight effects are considered using three stability factors(Fc,Fs,and Fγ),which are all associated with the cover-depth ratio and soil internal friction *** upper-bound(UB)and lower-bound(LB)results are presented in design charts and tables,and the large dataset is further studied using an artificial neural network(ANN)as a predictive model to produce accurate design *** proposed passive trapdoor problem under axisymmetric conditions is significant when considering soil blowout stability owing to faulty underground storage tanks or pipelines with high internal pressures.

关键词： Blowout Passive stability Trapdoor Stability factors Limit analysis

Spiking neural P systems with neuron division and budding

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Science China(Information Sciences) 2011年第8期54卷 1596-1607页

作者： P■UN Gheorghe PREZ-jimNEZ Mario J. Department of Computer Science and Artificial Intelligence University of Sevilla Avda Reina Mercedes s/n 41012 Sevilla Spain Institute of Mathematics of the Romanian Academy PO Box 1-764 014700 Bucuresti Romania

Spiking neural P systems are a class of distributed and parallel computing models inspired by spiking *** this work,the features of neuron division and neuron budding are introduced into the framework of spiking neural P systems,which are processes inspired by neural stem cell division. with neuron division and neuron budding,a spiking neural P system can generate exponential work space in polynomial time as the case for P systems with active *** this way,spiking neural P systems can efficiently solve computationally hard problems by means of a space-time tradeoff,which is illustrated with an efficient solution to SAT problem.

关键词： natural computing membrane computing spiking neural P system neuron division

Understanding China's Economic Growth from a Regional Policy Perspective

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China & world Economy 2023年第3期31卷 1-26页

作者： Jiashun Huang jim Huangnan Shen Zhiyan Sun School of Public Affairs and Institute of Intellectual Property University of Science and Technology of China Department of Applied Economics School of ManagementFudan UniversityChina Department of Development Strategy and Regional Economy Development Research Center of the State CouncilChina

There has been ongoing interest in China's economic *** were the drivers of China's economic growth in past years?what policies were used to promote China's economic growth?Although different lenses may be used to understand and explain China's economic growth,this paper draws on historical,theoretical,and empirical perspectives to discuss the nexus between China's regional policies and economic ***,we review the evolution of China's regional policy and the policy's changing emphasis in different development stages,from balanced,unbalanced,and coordinated development to synergistic *** we construct a theoretical model to illustrate the impact of regional policy on the local economy and conduct an empirical examination with a case study of regional policy using regression discontinuity *** paper analyzes the concept of regional policy and the underpinning logic of economic growth and presents practical approaches to formulate a better regional policyframework.

关键词： economic growth spatial distribution regional governance regional polic

Comprehensive Information Security Evaluation Model Based on Multi-Level Decomposition Feedback for IoT

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Computers, Materials & Continua 2020年第10期65卷 683-704页

作者： Jinxin Zuo Yueming Lu Hui Gao Ruohan Cao Ziyv Guo jim Feng School of Cyberspace Security Beijing University of Posts and TelecommunicationsBeijing100876China School of Information and Communication Engineering Beijing University of Posts and Telecommunica-tionsBeijing100876China Key Laboratory of Trustworthy Distributed Computing and Service(BUPT) Ministry of EducationBeijing100876China Amphenol Global Interconnect Systems San JoseCA 95131USA

The development of the Internet of Things(IoT)calls for a comprehensive in-formation security evaluation framework to quantitatively measure the safety score and risk(S&R)value of the network *** this paper,we summarize the architecture and vulnerability in IoT and propose a comprehensive information security evaluation model based on multi-level decomposition *** evaluation model provides an idea for information security evaluation of IoT and guides the security decision maker for dynamic ***,we establish an overall evaluation indicator system that includes four primary indicators of threat information,asset,vulnerability,and management,*** also includes eleven secondary indicators of system protection rate,attack detection rate,confidentiality,availability,controllability,identifiability,number of vulnerabilities,vulnerability hazard level,staff organization,enterprise grading and service continuity,***,we build the core algorithm to enable the evaluation model,wherein a novel weighting technique is developed and a quantitative method is proposed to measure the S&R ***,in order to better supervise the performance of the proposed evaluation model,we present four novel indicators includes residual risk,continuous conformity of residual risk,head-to-tail consistency and decrease ratio,*** results show the advantages of the proposed model in the evaluation of information security for IoT.

关键词： IoT information security quantitative evaluation safety score residual risk

NOMA-Based Cooperative Relaying Transmission for the Industrial Internet of Things

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Computers, Materials & Continua 2022年第12期73卷 6513-6534页

作者： Yinghua Zhang Rui Cao Lixin Tian Rong Dai Zhennan Cao jim Feng Dawning Information Industry Co. Ltd.Beijing100193China Dawning Information Industry Chengdu Co. Ltd.Chengdu610041China Amphenol Global Interconnect Systems San JoseCA95131US

with the continuous maturity of the fifth generation(5G)communications,industrial Internet of Things(IIoT)technology has been widely applied in fields such as smart *** smart factories,5G-based production line monitoring can improve production efficiency and reduce costs,but there are problems with limited monitoring coverage and insufficient wireless spectrum resources,which restricts the application of IIoT in the construction of smart *** response to these problems,we propose a hybrid spectrum access mechanism based on Non-Orthogonal Multiple Access(NOMA)cooperative relaying transmission to improve the monitoring coverage and spectrum *** there are a large number of production lines that need to be monitored in smart factories,it is difficult to realize real-time monitoring of all production lines due to insufficient wireless ***,we divide the production lines into high priority and low priority,and introduce cognitive radio technology to increase the number of monitoring production *** order to better describe the wireless fading channel environment in the factory,the two-wave with diffuse power(TwDP)channel is discussed to simulate the real factory environment and the outage probability of the secondary production line data transmission is derived in the proposed *** with the traditional mechanism,the proposed transmission mechanism can ensure the continuity of the secondary transmission,greatly reduce the outage probability of the secondary transmission,and improve the efficiency of the monitoring of the production lines.

关键词： Relay IIoT outage probability NOMA TwDP beam-forming

Turning goals into results

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作者： jim Krane.

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Turning goals into results