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Research on the Application of Integrating Engineering Thermodynamics and Heat Transfer Knowledge with Diesel Engine Knowledge in Military Academy Teaching Based on Data Analysis 认领 引用
1
作者 Fan Zeng Wenjie Wang Zuo Zhou 《Journal of Contemporary Educational Research》 2026年第1期68-74,共7页
Aiming at the characteristics of naval power engineering students in military academies who have a relatively weak theoretical foundation but focus on skill development,this study integrates the essential fundamental ... Aiming at the characteristics of naval power engineering students in military academies who have a relatively weak theoretical foundation but focus on skill development,this study integrates the essential fundamental theoretical knowledge of engineering thermodynamics and heat transfer with the corresponding professional knowledge of diesel engines.It quantifies their correlation through SPSS data analysis and proposes a teaching model“guided by fault phenomena and maintenance cases,supported by visualization and simulation.”The article elaborates on the knowledge point connection method based on data analysis,including descriptive statistics,correlation analysis,and regression modeling,and applies it in combination with the trinity teaching process of“case guidance,project assessment,and practical operation reinforcement.”The results show that this integrated method can effectively reduce the difficulty of theoretical learning,stimulate students’interest,enhance fault diagnosis and practical abilities,and provide data support and an effective path for cultivating high-quality technical and skilled marine power engineering talents. 展开更多
关键词 Higher vocational teaching Engineering thermodynamics Heat transfer Diesel engine Data analysis Teaching application
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Research on data assimilation for turbulence model constants via airfoil wind tunnel experiments 认领 引用 被引量：1
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作者 Junwei Yang Lingting Meng +1 位作者 Xiangjun Wang Hua Yang 《Theoretical & Applied Mechanics Letters》 EI CAS CSCD 2026年第2期42-56,共15页
Data assimilation algorithms have been demonstrated to increase the accuracy of predictions in airfoil flow fields.However,slight changes in airfoil geometry and Reynolds number(Re)variations could lead to differences... Data assimilation algorithms have been demonstrated to increase the accuracy of predictions in airfoil flow fields.However,slight changes in airfoil geometry and Reynolds number(Re)variations could lead to differences in aerodynamic characteristics and stall behavior,consequently affecting assimilation outcomes.Hence,this research uses the ensemble Kalman filter(EnKF)algorithm.The aerodynamic characteristics of two wind turbine airfoils obtained through wind tunnel experiments were investigated under varying degrees of stall by recalibrating the constants in the(S-A)model.The impacts of the airfoil thickness,Re variation,and Gurney flap installation on the assimilation results were subsequently examined.Verifying the applicability of the constants obtained via data assimilation under varying conditions might offer opportunities to reduce the demand for computational resources.The assimilation results indicate that at a Re on the order of magnitude of 105,the original model tends to delay flow separation as the Re increases.Consequently,the recalibrated constant Cb1 generally decreases with increasing Re.Despite belonging to the same airfoil family,discrepancies in the flow separation behavior predicted by the original model resulted in variations in the recalibrated constants.The constants derived from the thinner airfoil induce premature flow separation in the thicker YA-30 airfoil under stall conditions.When assimilated constants are applied to flow field calculations under analogous stall conditions,constants from another condition may demonstrate an optimization effect and substitute the self-assimilated constants,provided that simulations using default constants for both conditions consistently exhibit an experimental separation trend.However,practical implementation requires caution due to the risk of overadjustment. 展开更多
关键词 Wind turbine airfoil Pressure distribution Data assimilation Spalart-Allmaras model Applicability
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Data Augmentation:A Multi-Perspective Survey on Data,Methods,and Applications 认领 引用
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作者 Canlin Cui Junyu Yao Heng Xia 《Computers, Materials & Continua》 SCIE EI 2025年第12期4275-4306,共32页
High-quality data is essential for the success of data-driven learning tasks.The characteristics,precision,and completeness of the datasets critically determine the reliability,interpretability,and effectiveness of su... High-quality data is essential for the success of data-driven learning tasks.The characteristics,precision,and completeness of the datasets critically determine the reliability,interpretability,and effectiveness of subsequent analyzes and applications,such as fault detection,predictive maintenance,and process optimization.However,for many industrial processes,obtaining sufficient high-quality data remains a significant challenge due to high costs,safety concerns,and practical constraints.To overcome these challenges,data augmentation has emerged as a rapidly growing research area,attracting considerable attention across both academia and industry.By expanding datasets,data augmentation techniques improve greater generalization and more robust performance in actual applications.This paper provides a comprehensive,multi-perspective review of data augmentation methods for industrial processes.For clarity and organization,existing studies are systematically grouped into four categories:small sample with low dimension,small sample with high dimension,large sample with low dimension,and large sample with high dimension.Within this framework,the review examines current research from both methodological and application-oriented perspectives,highlighting main methods,advantages,and limitations.By synthesizing these findings,this review offers a structured overview for scholars and practitioners,serving as a valuable reference for newcomers and experienced researchers seeking to explore and advance data augmentation techniques in industrial processes. 展开更多
关键词 Data-driven data augmentation big data industrial application
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A Resilient BIRCH-Based Smart Framework for Real-Time IoT Data Clustering 认领 引用
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作者 Prabhat Das Dibya Jyoti Bora +2 位作者 Sajal Saha Cheng-Chi Lee Hirak Mazumdar 《Computer Modeling in Engineering & Sciences》 SCIE EI 2026年第4期864-898,共35页
Real-time data processing is essential in the evolving landscape of IoT applications,ensuring efficiency,reliability,and adaptability.However,conventional clustering algorithms often face difficulties in managing high... Real-time data processing is essential in the evolving landscape of IoT applications,ensuring efficiency,reliability,and adaptability.However,conventional clustering algorithms often face difficulties in managing highfrequency,continuous IoT data streams due to limited adaptability and high computational overhead.To address these challenges,this study proposes a resilient adaptation of the BIRCH(Balanced Iterative Reducing and Clustering using Hierarchies)algorithm,tailored specifically for streaming IoT data.The enhanced approach dynamically recalculates clusters and determines the optimal number of clusters using the KneeLocator method.Unlike the original batchoriented BIRCH,the modified version processes data incrementally,enabling continuous adaptation to changing data distributions.The proposed method was validated on benchmark IoT datasets and compared against K-Means,DBSCAN,standard BIRCH,and other state-of-the-art streaming-based clustering algorithms.Results consistently show that the modified BIRCH outperforms existing approaches in execution speed,memory efficiency,scalability,and clustering accuracy.In addition,the algorithm has been deployed within a web-based application featuring interactive visualization and anomaly detection,highlighting its practical relevance for smart city and industrial IoT scenarios.To promote reproducibility and future research,the complete framework and source code have been made publicly available. 展开更多
关键词 IoT applications clustering algorithms smart city applications real-time data processing industrial IoT real-time clustering
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Large artificial intelligence models for coal mining:Development,applications and challenges 认领 引用 被引量：1
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作者 Guofa Wang Yi Luo +2 位作者 Lingkai Yang Dandan Wang Jian Cheng 《International Journal of Minerals,Metallurgy and Materials》 SCIE EI CAS CSCD 2026年第7期2300-2312,共13页
Large-scale artificial intelligence(AI)models are increasingly shaping safety,efficiency,and sustainability in the mining industry.This paper reviews the development,applications,and challenges of domain-specific larg... Large-scale artificial intelligence(AI)models are increasingly shaping safety,efficiency,and sustainability in the mining industry.This paper reviews the development,applications,and challenges of domain-specific large AI models in coal mining.These models integrate heterogeneous multimodal data—text,images,video,audio,design data,point clouds,and time series—within multi-layered architectures encompassing infrastructure,data resources,algorithms,application services,and security.Application platforms supporting knowledge services,visual analysis,and intelligent scheduling demonstrate practical improvements in operational decision-making.Despite these advances,deployment faces challenges including fragmented data,limited labeled datasets,few-/zero-shot scenarios,industryspecific adaptation,robustness and interpretability,weak causal reasoning,edge computing limitations,cost-benefit trade-offs,and compatibility issues.Overcoming these barriers requires coordinated progress in data governance,model design and industry standardization. 展开更多
关键词 large artificial intelligence models domain-specific large language models multimodal data coal mining applications
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Mountain Science Data Center in IMHE 认领 引用
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《Journal of Mountain Science》 SCIE CSCD 2026年第3期F0002-F0002,共1页
The Mountain Science Data Center(MSDC),founded in 2021 under the Institute of Mountain Hazards and Environment(IMHE),Chinese Academy of Sciences,manages the entire lifecycle of mountain science data.It integrates data... The Mountain Science Data Center(MSDC),founded in 2021 under the Institute of Mountain Hazards and Environment(IMHE),Chinese Academy of Sciences,manages the entire lifecycle of mountain science data.It integrates data from diverse sources,including debris flows,landslides,soils,ecology,geology,natural resources,basic geographic information,and socio-economic data.The center provides comprehensive services,including data collection,processing,analysis tools,modeling,and application support,offering reliable data backing for numerous research projects within the institute.Data management and services are accessible via the Mountain Science Data Center Portal(http://gffzz69a63cefd7d14bf7sv95b6n9xwcn96v0q.ffgz.tsg.suse.edu.cn/),ensuring long-term,stable,and trustworthy access to facilitate scientific research and institutional development. 展开更多
关键词 application supportoffering soils natural resources debris flows geology debris flowslandslidessoilsecologygeologynatural mountain science data center landslides
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Research on Innovative Paths and Practical Optimization of Big Data Analysis and Processing in Geological Survey Engineering 认领 引用
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作者 GAO Xingda 《外文科技期刊数据库（文摘版）工程技术》 2026年第7期113-117,共5页
Geological survey engineering is advancing toward intelligence, refinement and full-domain coverage. Traditional survey data processing methods can no longer meet the demands of processing massive, heterogeneous multi... Geological survey engineering is advancing toward intelligence, refinement and full-domain coverage. Traditional survey data processing methods can no longer meet the demands of processing massive, heterogeneous multi-source survey data, making big data technology a vital support for technological innovation and efficiency improvement in geological survey engineering. Centered on the full-process data application of geological survey engineering, this paper focuses on innovative approaches to big data analysis and processing technologies, system construction methods and engineering application improvement strategies. Relying on the full-chain application scenarios of survey data, it explores the deep integration mode of digital-intelligent technologies and traditional geological surveys, and establishes a big data processing system compatible with modern geological survey engineering. By integrating multi-source heterogeneous geological data, innovating intelligent analysis algorithms, optimizing engineering workflows and building an integrated data platform, geological survey data has transformed from decentralized storage and single-dimensional analysis to centralized governance, intelligent mining and precise application. This transformation significantly improves data utilization efficiency, analysis accuracy and engineering service capacity, providing technical support and operational references for high-quality development in mineral exploration, geological disaster prevention, engineering construction and other fields. 展开更多
关键词 Geological Survey Engineering Big Data Analysis Data Processing Innovative Paths Practical Optimization Digital-Intelligent Application
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Research on the Integrated Application of Building Information Modeling (BIM) and Digital Twin Technology 认领 引用
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作者 JI Peng 《外文科技期刊数据库（文摘版）工程技术》 2026年第2期150-154,共5页
This study focuses on the integration of Building Information Modeling (BIM) and digital twin technology, aiming to thoroughly analyze the fundamental principles underlying their convergence, major challenges encounte... This study focuses on the integration of Building Information Modeling (BIM) and digital twin technology, aiming to thoroughly analyze the fundamental principles underlying their convergence, major challenges encountered, specific implementation steps, and future development prospects. The paper first elucidates the core concepts of both technologies: BIM enables seamless integration of geometric shapes and diverse information, while digital twins allow real-time adaptation and precise correspondence between physical and virtual worlds. It further highlights how the complementary advantages of these technologies yield enhanced synergistic effects when combined—a collaboration approach of paramount significance. During widespread adoption, practical challenges have emerged, including inconsistent data standards, substantial operational costs, and a shortage of professionals proficient in both technologies. Addressing these issues, the research team meticulously examined critical integration points, detailing methods for consolidating heterogeneous data models, leveraging IoT-based real-time data collection and updates, and developing a robust twin platform capable of supporting complex analytical capabilities. 展开更多
关键词 Building Information Modeling Digital Twin Integrated Application Smart Building Operations and Maintenance Data Fusion
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Application system and data description of the China Seismo-Electromagnetic Satellite 认领 引用 被引量：17
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作者 JianPing Huang XuHui Shen +8 位作者 XueMin Zhang HengXin Lu Qiao Tan Qiao Wang Rui Yan Wei Chu YanYan Yang DaPeng Liu Song Xu 《Earth and Planetary Physics》 CAS 2018年第6期444-454,共11页
The China Seismo-Electromagnetic Satellite, launched into orbit from Jiuquan Satellite Launch Centre on February 2 nd, 2018, is China's first space satellite dedicated to geophysical exporation. The satellite carr... The China Seismo-Electromagnetic Satellite, launched into orbit from Jiuquan Satellite Launch Centre on February 2 nd, 2018, is China's first space satellite dedicated to geophysical exporation. The satellite carries eight scientific payloads including high-precision magnetometers to detect electromagnetic changes in space, in particular changes associated with global earthquake disasters. In order to encourage and facilitate use by geophysical scientists of data from the satellite's payloads, this paper introduces the application systems developed for the China Seismo-Electromagnetic Satellite by the Institute of Crustal Dynamics, China Earthquake Administration;these include platform construction, data classification, data storage, data format, and data access and acquisition. 展开更多
关键词 China Seismo-Electromagnetic Satellite application system geophysical field data classification
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China Argo project:progress in China Argo ocean observations and data applications 认领 引用 被引量：13
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作者 LIU Zenghong WU Xiaofen +4 位作者 XU Jianping LI Hong LU Shaolei SUN Chaohui CAO Minjie 《Acta Oceanologica Sinica》 SCIE CAS CSCD 2017年第6期1-11,共11页
This paper reviews the current achievements of the China Argo project. It considers aspects of both the construction of the Argo observing array, float technology, and the quality control and sharing of its data. The ... This paper reviews the current achievements of the China Argo project. It considers aspects of both the construction of the Argo observing array, float technology, and the quality control and sharing of its data. The developments of associated data products and data applications for use in the fields of ocean, atmosphere, and climate research are discussed, particularly those related to tropical cyclones （typhoons）, ocean circulation, mesoscale eddies, turbulence, oceanic heat/salt storage and transportation, water masses, and operational oceanic/atmospheric/climatic forecasts and predictions. Finaliy, the challenges and opportunities involved in the long-term maintenance and sustained development of the China Argo ocean observation network are outlined. Discussion also focuses on the necessity for increasing the number of floats in the Indian Ocean and for expanding the regional Argo observation network in the South China Sea, together with the importance of promoting the use of Argo data by the maritime countries of Southeast Asia and India. 展开更多
关键词 China Argo ocean observation float development Argo data data application
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Data analysis guidelines for single‑cell RNA‑seq in biomedical studies and clinical applications 认领 引用 被引量：21
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作者 Min Su Tao Pan +14 位作者 Qiu‑Zhen Chen Wei‑Wei Zhou Yi Gong Gang Xu Huan‑Yu Yan Si Li Qiao‑Zhen Shi Ya Zhang Xiao He Chun‑Jie Jiang Shi‑Cai Fan Xia Li Murray J.Cairns Xi Wang Yong‑Sheng Li 《Military Medical Research》 SCIE CAS CSCD 2023年第4期529-553,共25页
The application of single-cell RNA sequencing(scRNA-seq)in biomedical research has advanced our understanding of the pathogenesis of disease and provided valuable insights into new diagnostic and therapeutic strategie... The application of single-cell RNA sequencing(scRNA-seq)in biomedical research has advanced our understanding of the pathogenesis of disease and provided valuable insights into new diagnostic and therapeutic strategies.With the expansion of capacity for high-throughput scRNA-seq,including clinical samples,the analysis of these huge volumes of data has become a daunting prospect for researchers entering this field.Here,we review the workflow for typical scRNA-seq data analysis,covering raw data processing and quality control,basic data analysis applicable for almost all scRNA-seq data sets,and advanced data analysis that should be tailored to specific scientific questions.While summarizing the current methods for each analysis step,we also provide an online repository of software and wrapped-up scripts to support the implementation.Recommendations and caveats are pointed out for some specific analysis tasks and approaches.We hope this resource will be helpful to researchers engaging with scRNA-seq,in particular for emerging clinical applications. 展开更多
关键词 Single-cell RNA-sequencing(scRNA-seq) Data analysis Biomedical research Clinical applications
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THEORY AND APPLICATION OF FRACTIONAL STEP CHARACTERISTIC FINITE DIFFERENCE METHOD IN NUMERICAL SIMULATION OF SECOND ORDER ENHANCED OIL PRODUCTION 认领 引用 被引量：1
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作者 袁益让 程爱杰 +1 位作者 羊丹平 李长峰 《Acta Mathematica Scientia》 SCIE CSCD 2015年第6期1547-1565,共19页
A kind of second-order implicit fractional step characteristic finite difference method is presented in this paper for the numerically simulation coupled system of enhanced （chemical） oil production in porous media.... A kind of second-order implicit fractional step characteristic finite difference method is presented in this paper for the numerically simulation coupled system of enhanced （chemical） oil production in porous media. Some techniques, such as the calculus of variations, energy analysis method, commutativity of the products of difference operators, decomposition of high-order difference operators and the theory of a priori estimates are introduced and an optimal order error estimates in l^2 norm is derived. This method has been applied successfully to the numerical simulation of enhanced oil production in actual oilfields, and the simulation results ate quite interesting and satisfactory. 展开更多
关键词 enhanced （chemical） oil production three-dimensional porous coupled system second-order implicit characteristic fractional step differences optimal order l^2 estimate application in actual oilfields
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An Application of a Multi-Tier Data Warehouse in Oil and Gas Drilling Information Management 认领 引用 被引量：2
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作者 张宁生 王志伟 《Petroleum Science》 CAS 2004年第4期1-5,共5页
Expenditure on wells constitute a significant part of the operational costs for a petroleum enterprise, where most of the cost results from drilling. This has prompted drilling departments to continuously look for way... Expenditure on wells constitute a significant part of the operational costs for a petroleum enterprise, where most of the cost results from drilling. This has prompted drilling departments to continuously look for ways to reduce their drilling costs and be as efficient as possible. A system called the Drilling Comprehensive Information Management and Application System (DCIMAS) is developed and presented here, with an aim at collecting, storing and making full use of the valuable well data and information relating to all drilling activities and operations. The DCIMAS comprises three main parts, including a data collection and transmission system, a data warehouse (DW) management system, and an integrated platform of core applications. With the support of the application platform, the DW management system is introduced, whereby the operation data are captured at well sites and transmitted electronically to a data warehouse via transmission equipment and ETL (extract, transformation and load) tools. With the high quality of the data guaranteed, our central task is to make the best use of the operation data and information for drilling analysis and to provide further information to guide later production stages. Applications have been developed and integrated on a uniform platform to interface directly with different layers of the multi-tier DW. Now, engineers in every department spend less time on data handling and more time on applying technology in their real work with the system. 展开更多
关键词 drilling information management multi-tier data warehouse information processing application system
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High Resolution Land Cover Datasets Integration and Application Based on Landsat and GlobCover Data from 1975 to 2010 in Siberia 认领 引用
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作者 LIU Tingxiang ZHANG Shuwen +3 位作者 XU Xinliang BU Kun NING Jia CHANG Liping 《Chinese Geographical Science》 SCIE CSCD 2016年第4期429-438,共10页
Land cover is recognized as one of the fundamental terrestrial datasets required in land system change and other ecosystem related researches across the globe. The regional differentiation and spatial-temporal variati... Land cover is recognized as one of the fundamental terrestrial datasets required in land system change and other ecosystem related researches across the globe. The regional differentiation and spatial-temporal variation of land cover has significant impact on regional natural environment and socio-economic sustainable development. Under this context, we reconstructed the history land cover data in Siberia to provide a comparable datasets to the land cover datasets in China and abroad. In this paper, the European Space Agency(ESA) Global Land Cover Map(GlobCover), Landsat Thematic Mapper(TM), Enhanced Thematic Mapper(ETM), Multispectral Scanner(MSS) images, Google Earth images and other additional data were used to produce the land cover datasets in 1975 and 2010 in Siberia. Data evaluation show that the total user′s accuracy of land cover data in 2010 was 86.96%, which was higher than ESA GlobCover data in Siberia. The analysis on the land cover changes found that there were no big land cover changes in Siberia from 1975 to 2010 with only a few conversions between different natural forest types. The mainly changes are the conversion from deciduous needleleaf forest to deciduous broadleaf forest, deciduous needleleaf forest to mixed forest, savannas to deciduous needleleaf forest etc., indicating that the dominant driving factor of land cover changes in Siberia was natural element rather than human activities at some extent, which was very different from China. However, our purpose was not just to produce the land cover datasets at two time period or explore the driving factors of land cover changes in Siberia, we also paid attention on the significance and application of the datasets in various fields such as global climate change, geopolitics, cross-border cooperation and so on. 展开更多
关键词 land cover change Landsat data integration data application Siberia
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Clinical applications of artificial intelligence in robotic urologic surgery 认领 引用 被引量：1
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作者 Shady Saikali Runzhuo Ma +1 位作者 Vipul Patel Andrew Hung 《Asian Journal of Urology》 CAS CSCD 2025年第2期139-142,共4页
The integration of artificial intelligence(AI)into the realm of robotic urologic surgery represents a remarkable paradigm shift in the field of urology and surgical healthcare.AI,with its advanced data analysis and ma... The integration of artificial intelligence(AI)into the realm of robotic urologic surgery represents a remarkable paradigm shift in the field of urology and surgical healthcare.AI,with its advanced data analysis and machine learning capabilities,has not only expedited the evolution of robotic surgical procedures but also significantly improved diagnostic accuracy and surgical outcomes. 展开更多
关键词 robotic surgical procedures data analysis artificial intelligence ai clinical applications artificial intelligence robotic urologic surgery machine learning
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On Application of Big Data Mining in Earthquake Precursor Observation 认领 引用
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作者 Wang Xiuying Zhang Ling Zhang Congcong 《Earthquake Research in China》 CSCD 2015年第4期452-458,共7页
Research and application of big data mining,at present,is a hot issue. This paper briefly introduces the basic ideas of big data research, analyses the necessity of big data application in earthquake precursor observa... Research and application of big data mining,at present,is a hot issue. This paper briefly introduces the basic ideas of big data research, analyses the necessity of big data application in earthquake precursor observation,and probes certain issues and solutions when applying this technology to work in the seismic-related domain. By doing so,we hope it can promote the innovative use of big data in earthquake precursor observation data analysis. 展开更多
关键词 Big data Earthquake precursor observation data hidden information Data mining Seismic-related research application
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Particle Swarm Optimization: Advances, Applications, and Experimental Insights 认领 引用 被引量：8
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作者 Laith Abualigah 《Computers, Materials & Continua》 SCIE EI 2025年第2期1539-1592,共54页
Particle Swarm Optimization(PSO)has been utilized as a useful tool for solving intricate optimization problems for various applications in different fields.This paper attempts to carry out an update on PSO and gives a... Particle Swarm Optimization(PSO)has been utilized as a useful tool for solving intricate optimization problems for various applications in different fields.This paper attempts to carry out an update on PSO and gives a review of its recent developments and applications,but also provides arguments for its efficacy in resolving optimization problems in comparison with other algorithms.Covering six strategic areas,which include Data Mining,Machine Learning,Engineering Design,Energy Systems,Healthcare,and Robotics,the study demonstrates the versatility and effectiveness of the PSO.Experimental results are,however,used to show the strong and weak parts of PSO,and performance results are included in tables for ease of comparison.The results stress PSO’s efficiency in providing optimal solutions but also show that there are aspects that need to be improved through combination with algorithms or tuning to the parameters of the method.The review of the advantages and limitations of PSO is intended to provide academics and practitioners with a well-rounded view of the methods of employing such a tool most effectively and to encourage optimized designs of PSO in solving theoretical and practical problems in the future. 展开更多
关键词 Particle swarm optimization(PSO) optimization algorithms data mining machine learning engineer-ing design energy systems healthcare applications robotics comparative analysis algorithm performance evaluation
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Research and Application Progress of Agricultural Big Data Technology and Resources 认领 引用
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作者 林坡 马友华 +1 位作者 王强 王静 《Agricultural Science & Technology》 CAS 2017年第5期907-913,共7页
With the development of Internet of things, cloud computing, mobile Inter- net, the scale of the data shows an alarming growth trend. Agricultural information is an important part of modern agricultural construction, ... With the development of Internet of things, cloud computing, mobile Inter- net, the scale of the data shows an alarming growth trend. Agricultural information is an important part of modern agricultural construction, and the development of a- gricultural industry is becoming more and more deeply with the application of infor- mation technology. This paper reviewed the concept and characteristic of big data, development history of big data at home and abroad, and emphatically expounded the connotation of agricultural big data, development status of agricultural big data at home and abroad, as well as the applications of agricultural big data technology, agriculture big data resources and agricultural big data in various fields. 展开更多
关键词 Agricultural big data Technology Resources Application
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Inference and optimal design on step-stress partially accelerated life test for hybrid system with masked data 认领 引用 被引量：1
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作者 SHI Xiaolin LU Pu SHI Yimin 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2018年第5期1089-1100,共12页
Under Type-Ⅱ progressively hybrid censoring, this paper discusses statistical inference and optimal design on stepstress partially accelerated life test for hybrid system in presence of masked data. It is assumed tha... Under Type-Ⅱ progressively hybrid censoring, this paper discusses statistical inference and optimal design on stepstress partially accelerated life test for hybrid system in presence of masked data. It is assumed that the lifetime of the component in hybrid systems follows independent and identical modified Weibull distributions. The maximum likelihood estimations(MLEs)of the unknown parameters, acceleration factor and reliability indexes are derived by using the Newton-Raphson algorithm. The asymptotic variance-covariance matrix and the approximate confidence intervals are obtained based on normal approximation to the asymptotic distribution of MLEs of model parameters. Moreover,two bootstrap confidence intervals are constructed by using the parametric bootstrap method. The optimal time of changing stress levels is determined under D-optimality and A-optimality criteria.Finally, the Monte Carlo simulation study is carried out to illustrate the proposed procedures. 展开更多
关键词 hybrid system step-stress partially accelerated life test Type-Ⅱ progressively hybrid censored and masked data statistical inference optimal test plan
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Key technology of ship product data exchange based on STEP 认领 引用
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作者 SHI Dong-yan YANG Jing-tong +1 位作者 QIU Chang-hua XUE Kai 《Journal of Marine Science and Application》 2005年第2期50-55,共6页
In this paper, in order to implement the share and exchange of the ship product data, a new kind of global function model is established. By researching on the development and trend of the application of ship STEP (st... In this paper, in order to implement the share and exchange of the ship product data, a new kind of global function model is established. By researching on the development and trend of the application of ship STEP (standard for the exchange of product model data) standards, the AIM (application interpreted model) of AP216 is developed and improved as an example, aiming at the characteristics and practical engineering of ship industry in our country. The data exchange interfaces are formed based on STEP in the CAD/CAM for the ship by all function modules and shared databases under the global function model. The share and exchange of all information and data are solved in the design, manufacture and all life-cycle of ship products among different computer application systems. The research work makes foundation for the ship industry informatization. 展开更多
关键词 STEP application protocol （AP） application interpreted model （AIM） SDAl ship product data exchange
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