期刊文献+
任意字段
题名或关键词
题名
关键词
摘要
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息
共找到9,579篇文章
< 1 2 … 250 >
每页显示 20 50 100
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
显示方式：
Exploration on the Construction of Intelligent Big Data Platform of Ningxia Solar Photovoltaic Industry based on NB-IoT 认领 引用
1
作者 Huijun Wang Weiying Chong 《Journal of Electronic Research and Application》 2025年第1期295-301,共7页
As China’s first new energy comprehensive demonstration zone,Ningxia’s solar photovoltaic(PV)industry has developed rapidly,but it still faces shortcomings in terms of intelligence and digitalization.This study focu... As China’s first new energy comprehensive demonstration zone,Ningxia’s solar photovoltaic(PV)industry has developed rapidly,but it still faces shortcomings in terms of intelligence and digitalization.This study focuses on the application and construction of an intelligent big data platform based on Narrowband Internet of Things(NB-IoT)technology within Ningxia’s solar PV industry.It explores the application trends of digital technology in the energy sector,particularly in the PV industry under the backdrop of energy reform,analyzes the technological development status of the smart energy field both domestically and internationally,and details the research methods and design components of the platform(including the photovoltaic base data platform,outdoor mobile application,remote data system,and back-office management system).The study discusses the opportunities and challenges Ningxia’s PV industry faces and proposes a construction pathway.It provides a theoretical foundation and technical support for the digital transformation of Ningxia’s PV industry,facilitating industrial upgrading and sustainable development.Although the current research is limited to the proposed design scheme,it establishes a basis for future empirical research and platform development. 展开更多
关键词 Ningxia Solar photovoltaic NB-IoT Intelligent big data platform Digital transformation
暂未订购 下载PDF
The data platform of national special environment and disaster field observation stations based on grid environment 认领 引用
2
作者 YaoNan Zhang BaoShan Zhang +3 位作者 Yu Lu MeiRong Gao JianFang Kang XueRu Zhao 《Research in Cold and Arid Regions》 2009年第2期185-191,共7页
The Data Platform of Resource and Environment—whose data mainly come from field observation stations,spatial observations,and internet service institutions—is the base of data analysis and model simulation in geosci... The Data Platform of Resource and Environment—whose data mainly come from field observation stations,spatial observations,and internet service institutions—is the base of data analysis and model simulation in geoscience research in China.Among this integrated data platform,the tasks of the data platform of field observation stations are principally data collection,management,assimilation,and share service.Taking into consideration the distributing characteristics of the data sources and the service objects,the authors formulated the framework of the field observation stations' data platform based on the grid technology and designed its operating processes.The authors have further defined and analyzed the key functions and implementing techniques for each module.In a Linux operating system,validation tests for the data platform's function on data replication,data synchronization,and unified data service have been conducted under an environment that of the simulating field stations. 展开更多
关键词 resource environment data platform grid technology Linux operating system
暂未订购 下载PDF
Analysis and Enlightenment of Big Data Platform for Adverse Drug Reaction Supervision in China and the United States 认领 引用
3
作者 Chang Senhao Chang Yingnan +1 位作者 Gong Jingran Chen Yuwen 《Asian Journal of Social Pharmacy》 2023年第3期213-220,共8页
Objective To introduce the relevant big data platforms of FDA regulatory sciences and to provide reference for the construction of big data platform for China’s regulatory science under the“14th five-year plan”to d... Objective To introduce the relevant big data platforms of FDA regulatory sciences and to provide reference for the construction of big data platform for China’s regulatory science under the“14th five-year plan”to deepen the reform of medical and health system.Methods A comparative analysis was made on China’s big data for regulatory science after studying the development process,operation mode,practical significance and characteristics of the big data platform for FDA regulatory science,which would help China to establish a perfect big database.Results and Conclusion The construction of big data platform for China’s regulatory science is not comprehensive compared with that in the United States.It is necessary to build data platforms in line with China’s national conditions through efforts in law,talents,standards,and other aspects. 展开更多
关键词 adverse drug reaction regulatory science big data platform US FDA life cycle
暂未订购 下载PDF
Blockchain Technology and Simulation Case Analysis to Construct a Big Data Platform for Urban Intelligent Transportation 认领 引用 被引量：1
4
作者 GONG Yan LIAO Jin‑hua 《Journal of Highway and Transportation Research and Development(English Edition)》 2019年第4期77-87,共11页
The traditional architecture of an urban intelligent transportation data network has a hierarchical distribution.In this architecture,organizations independently manage and upload data,thereby making data sharing diff... The traditional architecture of an urban intelligent transportation data network has a hierarchical distribution.In this architecture,organizations independently manage and upload data,thereby making data sharing difficult to achieve.To solve this problem,a big data platform of urban intelligent transportation was built in this paper by using blockchain technology.In this platform,block data are used as the core,thereby removing the centralized data management of each organization.This method also completely changes the modes of data acquisition,processing,analysis,and storage and fully realizes platformbased large data sharing,decentralization,and distributed computing of the multi-source system of urban intelligent transportation.The big data platform of urban intelligent transportation based on blockchain technology should also solve several key problems,including the unification of data from different sources,the unified supervision and operation of data,and the compatibility with other advanced technologies.To solve these problems,the key technologies for large data platforms were evaluated from a technical perspective.These technologies include the unified technology of each node,the supervision and operation of multitechnology sharing,and the technology compatibility with vehicle networking and vehicle-road collaboration.By taking the problem of traffic flow data loss in road networks under haze as a simulation case scenario,the application of block chain technology was described.By taking some road networks in Beijing as examples,the simulation results show that under the traditional intelligent transportation data network framework,given the limitations of equipment installation layouts and subordinate management organizations,the coverage of road networks for data acquisition is greatly affected by the objective environment,which may lead to data loss.The data acquisition system should also run independently,thereby preventing data sharing at the bottom of the network.The big data platform architecture of urban intelligent transportation based on blockchain technology addresses the limitations of various organizations,realizes data sharing in urban intelligent transportation,and solves the data loss problem under the traditional network architecture. 展开更多
关键词 transportation engineering big data platform blockchain technology urban intelligent transportation data simulation case
暂未订购 下载PDF
Accuracy improvement of the traditional rolling force and torque model powered by an industrial data platform 认领 引用
5
作者 WANG Quansheng JIAO Sihai 《Baosteel Technical Research》 CAS 2022年第2期1-9,共9页
The calculation results of the rolling force and torque model based on Orowan's differential equation numerical solution method do not fit with the industrial measurements very well.In particular,a quite large dev... The calculation results of the rolling force and torque model based on Orowan's differential equation numerical solution method do not fit with the industrial measurements very well.In particular,a quite large deviation on the torque model was found.On the basis of analyzing the shortcomings of the existing method,an improved rolling force and torque model algorithm aided by the Process Integrated Data Application System platform is proposed.Accordingly,the calculation accuracy of the rolling torque model is improved.The improved models are verified by 1711136 records of a data platform.The improved models are also based on Orowan's differential equation.Two coefficients,namely,friction factor and forward slip,are recognized as the crucial factors to be determined from industrial measurements to improve the accuracy.Therefore,the proposed method is a hybrid method that can be used to deeply understand the rolling process and improve the model's accuracy by combining traditional plastic mechanics and data-driving global optimization algorithms.This paper proposes a new approach to studying theoretical rolling deformation models powered by the industrial data platform. 展开更多
关键词 data platform rolling force torque numerical method hybrid strategy
暂未订购 下载PDF
Biomedical Data in China:Policy,Accumulation,Platform Construction,and Applications 认领 引用
6
作者 Jing-Chen Zhang Jing-Wen Sun +4 位作者 Xiao-Meng Liu Jin-Yan Liu Wei Luo Sheng-Fa Zhang Wei Zhou 《Chinese Medical Sciences Journal》 CAS CSCD 2025年第1期9-17,I0003,共9页
Biomedical data is surging due to technological innovations and integration of multidisciplinary data,posing challenges to data management.This article summarizes the policies,data collection efforts,platform construc... Biomedical data is surging due to technological innovations and integration of multidisciplinary data,posing challenges to data management.This article summarizes the policies,data collection efforts,platform construction,and applications of biomedical data in China,aiming to identify key issues and needs,enhance the capacity-building of platform construction,unleash the value of data,and leverage the advantages of China's vast amount of data. 展开更多
关键词 biomedical data data management database data sharing data resources data platform
暂未订购 下载PDF
Research on Railway 5G-R Comprehensive Data Transmission Platform and Security Strategy 认领 引用
7
作者 ZUO Zihui LIU Shipeng +2 位作者 ZHANG Ziliang ZHANG Hongchuan ZHENG Mingda 《Chinese Railways》 2025年第1期37-43,共7页
5G-R is the main type of next-generation mobile communication system for railways,offering highly reliable broadband data transmission services for intelligent railway operations.In the light of meeting the bearing de... 5G-R is the main type of next-generation mobile communication system for railways,offering highly reliable broadband data transmission services for intelligent railway operations.In the light of meeting the bearing demands of the 5G-R network,a comprehensive data transmission platform is proposed.This platform enables unified accession for various data service systems and applies Software Defined Network(SDN)technology for dynamic routing selection and high-effective data forwarding.Based on shared key lightweight access authentication technology,two-way identity authentication is performed for mobile terminals and network-side devices,ensuring the legitimacy verification of heterogeneous terminals within the application domain. 展开更多
关键词 5G-R comprehensive data transmission platform intelligent railway Software Defined Network(SDN) access authentication
暂未订购 下载PDF
Mobile Internet Big Data Platform in China Unicom 认领 引用 被引量：13
8
作者 Wenliang Huang Zhen Chen +3 位作者 Wenyu Dong Hang Li Bin Cao Junwei Cao 《Tsinghua Science and Technology》 SCIE EI CAS 2014年第1期95-101,共7页
China Unicorn, the largest WCDMA 3G operator in China, meets the requirements of the historical Mobile Internet Explosion, or the surging of Mobile Internet Traffic from mobile terminals. According to the internal sta... China Unicorn, the largest WCDMA 3G operator in China, meets the requirements of the historical Mobile Internet Explosion, or the surging of Mobile Internet Traffic from mobile terminals. According to the internal statistics of China Unicom, mobile user traffic has increased rapidly with a Compound Annual Growth Rate （CAGR） of 135%. Currently China Unicorn monthly stores more than 2 trillion records, data volume is over 525 TB, and the highest data volume has reached a peak of 5 PB. Since October 2009, China Unicom has been developing a home-brewed big data storage and analysis platform based on the open source Hadoop Distributed File System （HDFS） as it has a long-term strategy to make full use of this Big Data. All Mobile Internet Traffic is well served using this big data platform. Currently, the writing speed has reached 1 390 000 records per second, and the record retrieval time in the table that contains trillions of records is less than 100 ms. To take advantage of this opportunity to be a Big Data Operator, China Unicom has developed new functions and has multiple innovations to solve space and time constraint challenges presented in data processing. In this paper, we will introduce our big data platform in detail. Based on this big data platform, China Unicom is building an industry ecosystem based on Mobile Internet Big Data, and considers that a telecom operator centric ecosystem can be formed that is critical to reach prosperity in the modern communications business. 展开更多
关键词 big data platform China Unicorn 3G wireless network Hadoop Distributed File System （HDFS） mobilenternet network forensic data warehouse HBase
暂未订购 下载PDF
Multi-Source Heterogeneous Data Fusion Analysis Platform for Thermal Power Plants 认领 引用
9
作者 Jianqiu Wang Jianting Wen +1 位作者 Hui Gao Chenchen Kang 《Journal of Architectural Research and Development》 2025年第6期24-28,共5页
With the acceleration of intelligent transformation of energy system,the monitoring of equipment operation status and optimization of production process in thermal power plants face the challenge of multi-source heter... With the acceleration of intelligent transformation of energy system,the monitoring of equipment operation status and optimization of production process in thermal power plants face the challenge of multi-source heterogeneous data integration.In view of the heterogeneous characteristics of physical sensor data,including temperature,vibration and pressure that generated by boilers,steam turbines and other key equipment and real-time working condition data of SCADA system,this paper proposes a multi-source heterogeneous data fusion and analysis platform for thermal power plants based on edge computing and deep learning.By constructing a multi-level fusion architecture,the platform adopts dynamic weight allocation strategy and 5D digital twin model to realize the collaborative analysis of physical sensor data,simulation calculation results and expert knowledge.The data fusion module combines Kalman filter,wavelet transform and Bayesian estimation method to solve the problem of data time series alignment and dimension difference.Simulation results show that the data fusion accuracy can be improved to more than 98%,and the calculation delay can be controlled within 500 ms.The data analysis module integrates Dymola simulation model and AERMOD pollutant diffusion model,supports the cascade analysis of boiler combustion efficiency prediction and flue gas emission monitoring,system response time is less than 2 seconds,and data consistency verification accuracy reaches 99.5%. 展开更多
关键词 Thermal power plant Multi-source heterogeneous data Data fusion analysis platform Edge computing
暂未订购 下载PDF
Interactive Generalization on Large-Scale Topographical Map Supported by a Database Platform 认领 引用
10
作者 CAI Zhongiang WU Hehai +1 位作者 DU Qingyun LIAO Chujiang 《Geo-Spatial Information Science》 EI 2003年第4期17-26,共10页
This paper makes astudy on the interactive digital gener-alization,where map generalizationcan be divided into intellective reason-ing procedure and operational proce-dure,which are done by human andcomputer,respectiv... This paper makes astudy on the interactive digital gener-alization,where map generalizationcan be divided into intellective reason-ing procedure and operational proce-dure,which are done by human andcomputer,respectively.And an inter-active map generalization environmentfor large scale topographic map is thendesigned and realized.This researchfocuses on:①the significance of re-searching an interactive map generali-zation environment,②the features oflarge scale topographic map and inter-active map generalization,③the con-struction of map generalization-orien-ted database platform. 展开更多
关键词 large scale topographic map interactive generalization data platform
暂未订购 下载PDF
China promotes the construction of data infrastructure and data standards 认领 引用
11
《China Standardization》 2026年第3期8-8,共1页
The National Data Administration announced the establishment of the“data infrastructure technology community”and launched the“data standard semantic service platform”on April 28,which aims to accelerate the nation... The National Data Administration announced the establishment of the“data infrastructure technology community”and launched the“data standard semantic service platform”on April 28,which aims to accelerate the national data infrastructure and data standardization process during the 15th Five-Year Plan period(2026-2030). 展开更多
关键词 national data administration data standards data standard semantic service platform data infrastructure data infrastructure technology community data standardization process
暂未订购 下载PDF
Design, Development and Application of Northeast Asia Resources and Environment Scientific Expedition Data Platform 认领 引用
12
作者 王卷乐 朱立君 +1 位作者 杨懿 张玲 《Journal of Resources and Ecology》 CSCD 2011年第3期266-271,共6页
Northeast Asia is a key area for Earth system studies, global change frontier science research and regional sustainable development research. It has a complex ecological environment, a variety of climatic zones and ty... Northeast Asia is a key area for Earth system studies, global change frontier science research and regional sustainable development research. It has a complex ecological environment, a variety of climatic zones and typical human-Earth relationships. This paper outlines a data resources integration system fulfilling the data accumulation and management requirements of the Northeast Asia Resources and Environment Scientific Expedition. The data resources integration system has three subsystems：（i） data resources collection and management standards and specifications system, （ii） data classification system and （iii） a data management and publication software platform. The data resources collection and management standard and specification system has 23 specifications,divided into three types. They are： （i） data collection and processing specification type,（ii） data analysis and archiving specification and （iii） data management and sharing specification. The data resources classification system has four classes, 25 sub classes and 128 data elements. The data management and publication software platform has five function models：（i） data catalogue search model, （ii） metadata management model, （iii） data publication and virtualization model, （iv） data view model and （v） data download model. Based on the designed data integration system a prototype system has been developed and is supported by computer and Web GIS technologies. So far 144 datasets have been integrated into this data system. As more data are accumulated and integrated, it will play an important role in future scientific expedition data application and analysis. 展开更多
关键词 resources and environment integrated science expedition data platform Northeast Asia
暂未订购 下载PDF
State of data platforms for connected vehicles and infrastructures 认领 引用 被引量：9
13
作者 Kai Li Lim Jake Whitehead +1 位作者 Dongyao Jia Zuduo Zheng 《Communications in Transportation Research》 EI 2021年第1期100-110,共11页
The continuing expansion of connected and electro-mobility products and services has led to their ability to rapidly generate very large amounts of data,leading to a demand for effective data management solutions.This... The continuing expansion of connected and electro-mobility products and services has led to their ability to rapidly generate very large amounts of data,leading to a demand for effective data management solutions.This is further catalysed through the need for society to make informed policies and decisions that can properly support their emerging growth.While data systems and platforms exist,they are often proprietary,being only compatible to the products that they are designed for.Given the products and services generate energy and spatial-temporal data that can often correlate,a lack of interoperability between these systems would impede decision making,as data from each system must be considered independently.By studying currently available data platforms and frameworks,this paper weighs the problems that these products address,and identifies necessary gaps for a more cohesive platform to exist.This is performed through a top-down approach,whereby broader vehicle-toeverything approaches are first studied,before moving to the components that could comprise a data platform to integrate and ingest these various data feeds.Finally,potential design considerations for a data platform is presented,along with examples of application bene. 展开更多
关键词 Connected mobility Vehicular networks Data platforms Electric vehicles
RiskTree: Decision trees for asset and process risk assessment quantification in big data platforms 认领 引用 被引量：1
14
作者 Haomou Zhan Jiawei Yang +5 位作者 Zhenyang Guo Jin Cao Dong Zhang Xingwen Zhao Wei You Hui Li 《Security and Safety》 2024年第3期8-28,共21页
Currently, big data platforms are widely applied across various industries. These platforms are characterized by large scale, diverse forms, high update frequency, and rapid data flow, making it challenging to directl... Currently, big data platforms are widely applied across various industries. These platforms are characterized by large scale, diverse forms, high update frequency, and rapid data flow, making it challenging to directly apply existing risk quantification methods to them. Additionally, the composition of big data platforms varies among enterprises due to factors such as industry, economic capability, and technical proficiency. To address this, we first developed a risk quantification assessment process tailored to different types of big data platforms, taking into account relevant laws, regulations, and standards. Subsequently,we developed RiskTree, a risk quantification system for big data platforms, which supports automated detection of configuration files, traffic, and vulnerabilities. For situations where automated detection is not feasible or permitted, we provide a customized questionnaire system to collect assets and data processing procedures. We utilize a knowledge graph(KG)to integrate and analyze the collected data. Finally, we apply a random forest algorithm to compute risk index weights, risk values, and risk levels, enabling the quantification of risks on big data platforms. To validate the proposed process, we conducted experiments on an educational big data platform. The results demonstrate that the risk index system presented in this paper objectively and comprehensively reflects the risks faced by big data platforms. Furthermore, the proposed risk assessment process not only effectively identifies and quantifies risks but also provides highly interpretable evaluation results. 展开更多
关键词 Big data platform Quantitative risk assessment Machine learning Big data platform Quantitative risk assessment Machine learning
AraceaeDB: a functional genomics database of the Araceae family with a focus on konjac glucomannan biosynthesis in Amorphophallus konjac corms 认领 引用 被引量：1
15
作者 Sen Chen Yan Huang +8 位作者 DengGuo Tang ZhiJian Long Lucas Gutiérrez Rodríguez LingMin Tian Min Zeng BoYa Wang Xin Zhao ShangLian Hu Ying Cao 《Horticulture Research》 SCIE CSCD 2025年第10期1-13,共13页
Amorphophallus konjac,as a significant representative of the Araceae family,demonstrates considerable potential for applications in medicine,healthcare,food,industry,and bioenergy due to its rich content of konjac glu... Amorphophallus konjac,as a significant representative of the Araceae family,demonstrates considerable potential for applications in medicine,healthcare,food,industry,and bioenergy due to its rich content of konjac glucomannan(KGM).However,the synthetic pathway of KGM remains largely unclear.Although genomic sequencing has been completed for various representative Araceae plants,including Amorphophallus konjac,a comprehensive data platform for deep analysis and exploration of the functions of these genes is lacking.In the current work,genomic and transcriptomic data from multiple Araceae species were integrated,and a database,AraceaeDB(http://gffzzd23e414724ae4567hxkk05xwxcfcw69vf.ffgz.tsg.suse.edu.cn/),was constructed specifically for analyzing and comparing gene functions in Araceae plants.The gene functions in the database were annotated in detail,and their ortholog groups were identified and classified into different functional modules based on their expression patterns across various transcriptomic datasets.Multiple functional genomics analysis tools were developed,including OrthoGroup analysis,BLAST search,co-expression analysis,KEGG/GO enrichment analysis,and the JBrowse visualization tool.Moreover,the database incorporates several medicinally significant bioactive compounds traditionally important in the Araceae family,providing target prediction capabilities for these compounds.Furthermore,the major biosynthetic pathway of KGM has been successfully elucidated through these database resources,and a key gene AkCSL3 has been identified.It has been further confirmed that overexpression of AkCSL3 can significantly increase the content of KGM,suggesting its potential crucial role in the polymerization process of glucomannan in konjac corms. 展开更多
关键词 amorphophallus konjaca amorphophallus konjacas comprehensive data platform genomic sequencing konjac glucomannan functional genomics konjac glucomannan kgm howeverthe deep analysis exploration functions genes
暂未订购 下载PDF
Pelvic Floor Dysfunction Databases:Evolution,Current Landscape,and Future Development 认领 引用
16
作者 Jing-Yu Zhang An-Ran Wang +3 位作者 Shuo Liang Hong-Hui Shi Lan Zhu Si-Zhu Wu 《Chinese Medical Sciences Journal》 CAS CSCD 2025年第4期295-308,I0004,共14页
Pelvic floor dysfunction(PFD),including conditions such as stress urinary incontinence,pelvic organ prolapse,and fecal incontinence,significantly affects women's quality of life and their physical and mental healt... Pelvic floor dysfunction(PFD),including conditions such as stress urinary incontinence,pelvic organ prolapse,and fecal incontinence,significantly affects women's quality of life and their physical and mental health.With advancement of digital medicine,the systematic collection of data and the high-quality development of database platforms have increasingly become central pillars of PFD research and management.We systematically review the developmental stages of PFDrelated databases.We then conduct a comparative analysis of representative international and domestic platforms,examining key aspects including organizational structures and construction models,data sources and integration strategies,core functionalities,data quality control and standardization,data security and access management,and research applications.Finally,based on the current status of PFD database development both globally and in China,we offer recommendations to strengthen data infrastructure and guide future directions.The findings may serve as a valuable reference for the optimization of PFD databases worldwide. 展开更多
关键词 pelvic floor dysfunction disease registry database data platform disease research
暂未订购 下载PDF
Preliminary build and application of a data analysis platform for coiled tubing steel strips 认领 引用
17
作者 ZHANG Haozhen ZHANG Chuanguo WANG Pengjian 《Baosteel Technical Research》 CAS 2022年第3期19-26,共8页
To solve the problems in the quality control and improvement of coiled tubing steel strips production, such as scattered and inefficient production data, difficult performance fluctuation factor analysis, complex mult... To solve the problems in the quality control and improvement of coiled tubing steel strips production, such as scattered and inefficient production data, difficult performance fluctuation factor analysis, complex multivariate statistical analysis, and low accuracy and difficulty in mechanical property prediction, an industrial data analysis platform for coiled tubing steel strips production has been preliminarily developed.As the premise and foundation of analysis, industrial data collection, storage, and utilization are realized by using multiple big data technologies.With Django as the agile development framework, data visualization and comprehensive analyses are achieved.The platform has functions including overview survey, stability analysis, comprehensive analysis(such as exploratory data analysis, correlation analysis, and multivariate statistics),precise steel strength prediction, and skin-passing process recommendation.The platform is helpful for production overviewing and prompt responding, laying a foundation for an in-depth understanding of product characteristics and improving product performance stability. 展开更多
关键词 coiled tubing steel strips industrial big data data analysis platform prediction
暂未订购 下载PDF
Platform technology of Web services-oriented DCS data exchanging 认领 引用 被引量：1
18
作者 JIN Qi-bing ZHAO Da-li SHAO Wei-long 《通讯和计算机（中英文版）》 2008年第5期56-60,共5页
To solve the problem of information interdiction among various kinds of DCS and systems of MIS and ERP, through using a kind of universal Web services object＇s encapsulation technique, a Web services-oriented DCS dat... To solve the problem of information interdiction among various kinds of DCS and systems of MIS and ERP, through using a kind of universal Web services object＇s encapsulation technique, a Web services-oriented DCS data exchanging platform is constructed, and the functional architecture and Key Enabling Technologies of the platform are introduced in detail. Accordingly, the enterprise information integration across different platforms and languages is realized, and an open, unified application integration environment is provided for the heterogeneous control systems and management systems. 展开更多
关键词 Web服务器 DCS 数据交换 平台技术
暂未订购 下载PDF
The Design and Implementation of Multi-user Data Sharing Platform for Remote Monitoring System Based on Virtual Instruments 认领 引用
19
作者 Ma GuoSheng Xia XiaoBo 《International Journal of Technology Management》 2014年第8期79-82,共4页
Remote data monitoring system which adopts virtual instrument usually applies data sharing, acquisition and remote transmission technology via internet. It is able to finish concurrent data acquisition and processing ... Remote data monitoring system which adopts virtual instrument usually applies data sharing, acquisition and remote transmission technology via internet. It is able to finish concurrent data acquisition and processing for multi-user and multi-task and also build a personalized virtual testing environment for more people but with fewer instruments. In this paper, we＇ 11 elaborate on the design and implementation of information sharing platform through a typical example of how to build multi-user concurrent virtual testing environment based on the virtnal software LabVIEW. 展开更多
关键词 Virtual Testing Environment Data Sharing Platform Concurrent Data Acquisition and Transmission Data Redundancy
暂未订购 下载PDF
基于多模态人工智能技术的中西医结合炎症性肠病大数据平台及专病队列的构建 认领 引用 被引量：1
20
作者 沈照峰 张梦媛 +1 位作者 朱磊 沈洪 《中医杂志》 CSCD 北大核心 2026年第8期888-895,共8页
目的构建基于多模态人工智能(AI)技术的中西医结合大数据平台与专病队列,为开展高质量中医药循证研究提供方法学支撑与数据基础。方法以炎症性肠病(IBD)为研究对象,参考国内外专病队列数据库构建模式,依托江苏省中医优势病种诊疗大数据... 目的构建基于多模态人工智能(AI)技术的中西医结合大数据平台与专病队列,为开展高质量中医药循证研究提供方法学支撑与数据基础。方法以炎症性肠病(IBD)为研究对象,参考国内外专病队列数据库构建模式,依托江苏省中医优势病种诊疗大数据平台,制定中医优势病种研究核心数据集,整合江苏省11家三级甲等中医院多源异构数据,搭建中西医结合IBD医疗大数据平台;应用自然语言处理(NLP)、机器学习等AI技术,对真实世界数据进行深度治理(包括抽取、转换、脱敏、加密、清洗、映射、人工标注),实现专病数据的标准化、结构化、归一化;建立动态患者筛选入组、数据采集与随访管理体系,形成IBD专病队列;采用光学字符识别(OCR)结合霍夫变换直线提取法实现肠镜报告文本识别与提取,利用卷积神经网络(CNN)模型对舌象、肠镜图片进行特征分析与量化。结果初步制定了中西医结合IBD专病数据元标准,完成了36890条IBD全量诊疗记录数据治理,实现了中西医数据的标准化映射、整合与质控,构建了多模态IBD大数据平台(14424人次);建立了包含1781例IBD患者的专病队列;开发了AI辅助的中医预测模型。结论形成了一套可推广的中西医结合多模态IBD大数据平台及专病队列建设技术框架,实现了中西医真实世界数据的深度融合,可为中医药循证研究提供高质量的数据支撑。 展开更多
关键词 炎症性肠病 医疗大数据 大数据平台 专病队列 人工智能
暂未订购 下载PDF
已选0条
引用分析
参考文献
引证文献
 统计分析
检索结果
已选文献
上一页 1 2 … 250 下一页 到第 页
在线咨询 使用帮助 返回顶部 意见反馈