期刊文献+
共找到3,266篇文章
< 1 2 164 >
每页显示 20 50 100
Big Model Strategy for Bridge Structural Health Monitoring Based on Data-Driven, Adaptive Method and Convolutional Neural Network (CNN) Group 被引量:1
1
作者 Yadong Xu Weixing Hong +3 位作者 Mohammad Noori Wael A.Altabey Ahmed Silik Nabeel S.D.Farhan 《Structural Durability & Health Monitoring》 EI 2024年第6期763-783,共21页
This study introduces an innovative“Big Model”strategy to enhance Bridge Structural Health Monitoring(SHM)using a Convolutional Neural Network(CNN),time-frequency analysis,and fine element analysis.Leveraging ensemb... This study introduces an innovative“Big Model”strategy to enhance Bridge Structural Health Monitoring(SHM)using a Convolutional Neural Network(CNN),time-frequency analysis,and fine element analysis.Leveraging ensemble methods,collaborative learning,and distributed computing,the approach effectively manages the complexity and scale of large-scale bridge data.The CNN employs transfer learning,fine-tuning,and continuous monitoring to optimize models for adaptive and accurate structural health assessments,focusing on extracting meaningful features through time-frequency analysis.By integrating Finite Element Analysis,time-frequency analysis,and CNNs,the strategy provides a comprehensive understanding of bridge health.Utilizing diverse sensor data,sophisticated feature extraction,and advanced CNN architecture,the model is optimized through rigorous preprocessing and hyperparameter tuning.This approach significantly enhances the ability to make accurate predictions,monitor structural health,and support proactive maintenance practices,thereby ensuring the safety and longevity of critical infrastructure. 展开更多
关键词 Structural Health Monitoring(SHM) BRIDGES big model Convolutional Neural Network(CNN) Finite Element Method(FEM)
在线阅读 下载PDF
The Interdisciplinary Research of Big Data and Wireless Channel: A Cluster-Nuclei Based Channel Model 被引量:24
2
作者 Jianhua Zhang 《China Communications》 SCIE CSCD 2016年第S2期14-26,共13页
Recently,internet stimulates the explosive progress of knowledge discovery in big volume data resource,to dig the valuable and hidden rules by computing.Simultaneously,the wireless channel measurement data reveals big... Recently,internet stimulates the explosive progress of knowledge discovery in big volume data resource,to dig the valuable and hidden rules by computing.Simultaneously,the wireless channel measurement data reveals big volume feature,considering the massive antennas,huge bandwidth and versatile application scenarios.This article firstly presents a comprehensive survey of channel measurement and modeling research for mobile communication,especially for 5th Generation(5G) and beyond.Considering the big data research progress,then a cluster-nuclei based model is proposed,which takes advantages of both the stochastical model and deterministic model.The novel model has low complexity with the limited number of cluster-nuclei while the cluster-nuclei has the physical mapping to real propagation objects.Combining the channel properties variation principles with antenna size,frequency,mobility and scenario dug from the channel data,the proposed model can be expanded in versatile application to support future mobile research. 展开更多
关键词 channel model big data 5G massive MIMO machine learning CLUSTER
在线阅读 下载PDF
The Big Five Model in Relation to Job Performance:A New Look at Organizational Psychology 被引量:1
3
作者 Bafetis Alexandros Michael Galanakis 《Psychology Research》 2023年第1期1-8,共8页
The Big Five Theory is often regarded as psychology’s most influential personality theoretical approach.The goal of this study is to examine the role of the Big Five Theory in the workplace,especially which personali... The Big Five Theory is often regarded as psychology’s most influential personality theoretical approach.The goal of this study is to examine the role of the Big Five Theory in the workplace,especially which personality qualities are more likely to predict work success.Which traits should companies emphasize throughout the hiring and selection processes?How can businesses use the Big Five personality model to locate employees that are more productive,efficient,and devoted to the organization’s goals?A detailed assessment of existing recent research addresses the aforementioned issues.Following a review of many current articles on the subject,it was established that using this model had a positive influence on individual and group performance,working relationships,manager work performance,and workplace innovation. 展开更多
关键词 organizational psychology PERSONALITY big Five model job performance
在线阅读 下载PDF
Why the Big Bang Model Cannot Describe the Observed Universe Having Pressure and Radiation 被引量:2
4
作者 Abhas Mitra 《Journal of Modern Physics》 2011年第12期1436-1442,共7页
It has been recently shown that, since in general relativity (GR), given one time label t, one can choose any other time label t → t*= f(t), the pressure of a homogeneous and isotropic fluid is intrinsically zero (Mi... It has been recently shown that, since in general relativity (GR), given one time label t, one can choose any other time label t → t*= f(t), the pressure of a homogeneous and isotropic fluid is intrinsically zero (Mitra, Astrophys. Sp. Sc. 333, 351, 2011). Here we explore the physical reasons for the inevitability of this mathematical result. The essential reason is that the Weyl Postulate assumes that the test particles in a homogeneous and isotropic spacetime undergo pure geodesic motion without any collisions amongst themselves. Such an assumed absence of collisions corresponds to the absence of any intrinsic pressure. Accordingly, the “Big Bang Model” (BBM) which assumes that the cosmic fluid is not only continuous but also homogeneous and isotropic intrinsically corresponds to zero pressure and hence zero temperature. It can be seen that this result also follows from the relevant general relativistic first law of thermodynamics (Mitra, Found. Phys. 41, 1454, 2011). Therefore, the ideal BBM cannot describe the physical universe having pressure, temperature and radiation. Consequently, the physical universe may comprise matter distributed in discrete non-continuous lumpy fashion (as observed) rather than in the form of a homogeneous continuous fluid. The intrinsic absence of pressure in the “Big Bang Model” also rules out the concept of a “Dark Energy”. 展开更多
关键词 General RELATIVITY big Bang model Dark Energy COSMOLOGY Fractal UNIVERSE
暂未订购
Data Modeling and Data Analytics: A Survey from a Big Data Perspective 被引量:1
5
作者 André Ribeiro Afonso Silva Alberto Rodrigues da Silva 《Journal of Software Engineering and Applications》 2015年第12期617-634,共18页
These last years we have been witnessing a tremendous growth in the volume and availability of data. This fact results primarily from the emergence of a multitude of sources (e.g. computers, mobile devices, sensors or... These last years we have been witnessing a tremendous growth in the volume and availability of data. This fact results primarily from the emergence of a multitude of sources (e.g. computers, mobile devices, sensors or social networks) that are continuously producing either structured, semi-structured or unstructured data. Database Management Systems and Data Warehouses are no longer the only technologies used to store and analyze datasets, namely due to the volume and complex structure of nowadays data that degrade their performance and scalability. Big Data is one of the recent challenges, since it implies new requirements in terms of data storage, processing and visualization. Despite that, analyzing properly Big Data can constitute great advantages because it allows discovering patterns and correlations in datasets. Users can use this processed information to gain deeper insights and to get business advantages. Thus, data modeling and data analytics are evolved in a way that we are able to process huge amounts of data without compromising performance and availability, but instead by “relaxing” the usual ACID properties. This paper provides a broad view and discussion of the current state of this subject with a particular focus on data modeling and data analytics, describing and clarifying the main differences between the three main approaches in what concerns these aspects, namely: operational databases, decision support databases and Big Data technologies. 展开更多
关键词 DATA modelING DATA ANALYTICS modelING LANGUAGE big DATA
暂未订购
A New Efficient Obstacle Avoidance Control Method for Cars Based on Big Data and Just-in-Time Modeling 被引量:1
6
作者 Tatsuya Kai 《Journal of Computer and Communications》 2018年第11期12-22,共11页
This paper provides a new obstacle avoidance control method for cars based on big data and just-in-time modeling. Just-in-time modeling is a new kind of data-driven control technique in the age of big data and is used... This paper provides a new obstacle avoidance control method for cars based on big data and just-in-time modeling. Just-in-time modeling is a new kind of data-driven control technique in the age of big data and is used in various real systems. The main property of the proposed method is that a gain and a control time which are parameters in the control input to avoid an encountered obstacle are computed from a database which includes a lot of driving data in various situations. Especially, the important advantage of the method is small computation time, and hence it realizes real-time obstacle avoidance control for cars. From some numerical simulations, it is showed that the new control method can make the car avoid various obstacles efficiently in comparison with the previous method. 展开更多
关键词 big Data JUST-IN-TIME modelING CARS OBSTACLE AVOIDANCE Control
暂未订购
A New Model of China-US Big Power Relations: A Symbolic Sign in Foreign Affairs
7
作者 Siyuan Huang 《International Relations and Diplomacy》 2016年第6期371-377,共7页
To cope with the current crisis and tensions full-filled China-US relationship, Chinese President Xi Jinping put forward the concept of building a new model of China-US big power relations, which the US agrees. Yet th... To cope with the current crisis and tensions full-filled China-US relationship, Chinese President Xi Jinping put forward the concept of building a new model of China-US big power relations, which the US agrees. Yet the new model won a heated discussion. In China this new model was evaluated positively and optimistically, while in the US it was perceived as a strategic challenge or even a threat. In the present article, the author proposes that this new model of China-US big power relations is more like a symbolic sign in foreign affairs rather than a strategic challenge or a threat or an effective and workable mechanism at this moment, and meanwhile analyses this view from diachronic and semiotic perspectives. The analyses reveal that the new model functions as a symbolic sign, signifying to the world that conceptually the two big powers have a good and harmonious relationship. 展开更多
关键词 a new model of China-US big power relations a symbolic sign diachronic perspective semioticperspective
在线阅读 下载PDF
Big Data in Chinese Government Governance: Analysis of Decision-Making Model Innovation and Practice
8
作者 Peng Wang Bin Lu 《Journal of Computer and Communications》 2018年第12期129-142,共14页
The 19th National Congress of the Communist Party of China has put forward higher requirements for Chinese government governance. The government governance has developed to a higher stage. Meanwhile, it faces more cha... The 19th National Congress of the Communist Party of China has put forward higher requirements for Chinese government governance. The government governance has developed to a higher stage. Meanwhile, it faces more challenges, like lack of top-level design and information sharing. To develop a government governance decision-making innovation model, we should make good use of big data to mine in the grassroots government data management network. Both the characteristics of the times and the experience of the practice have proven that big data can empower government governance and promote the construction of a service-oriented government. 展开更多
关键词 big Data GOVERNMENT GOVERNANCE model INNOVATION
在线阅读 下载PDF
“伏羲农场”:智慧农业技术集成创新的实践探索与思考 被引量:7
9
作者 张玉成 张晓博 +7 位作者 高树琴 郑聪聪 张景尧 文亚 李禄军 王卓 李铁 赵洪龙 《中国科学院院刊》 北大核心 2025年第2期301-309,共9页
将人工智能技术深度融入农业生产实践,是提高农业生产效率、保障国家粮食安全的有效途径,也是给农业生产插上科技翅膀的重要举措。为了实现人工智能技术和产品落地应用,并形成智慧农业生产体系,最有效的方式是在不同类型农业生态区建立... 将人工智能技术深度融入农业生产实践,是提高农业生产效率、保障国家粮食安全的有效途径,也是给农业生产插上科技翅膀的重要举措。为了实现人工智能技术和产品落地应用,并形成智慧农业生产体系,最有效的方式是在不同类型农业生态区建立具有一定种植规模的智慧农场示范样板,形成成套的技术体系和可复制的推广范式,这也是检验并优化人工智能赋能农业生产效果的最高效的方式。文章分析了发达国家典型智慧农场的建设经验,以及我国智慧农场发展的现状,着重探讨了我国“伏羲农场”智慧农业生产体系构建的内容、实施路径和应用实践;最后,对进一步高质量构建以“伏羲农场”为代表的我国特色智慧农场生产体系提出建议。 展开更多
关键词 人工智能 智慧农场 大模型 大数据 新农人
原文传递
加强多元化食物生产系统植物工厂的人工智能创新 被引量:4
10
作者 龚化勤 景海春 +10 位作者 谭鑫 王宪辉 张玉成 林荣呈 杨名宇 林双 谢华玲 杨艳萍 叶世堂 李鹏 匡廷云 《中国科学院院刊》 北大核心 2025年第2期338-349,共12页
我国大食物安全面临日益严峻且复杂的多重挑战,粮食供需紧平衡、消费结构升级与资源约束交织。植物工厂是农业生产的高级形式,是摆脱“靠天吃饭”,应对灾害、战备、面向太空的多元化食物生产系统。然而,高成本极大地限制了植物工厂的应... 我国大食物安全面临日益严峻且复杂的多重挑战,粮食供需紧平衡、消费结构升级与资源约束交织。植物工厂是农业生产的高级形式,是摆脱“靠天吃饭”,应对灾害、战备、面向太空的多元化食物生产系统。然而,高成本极大地限制了植物工厂的应用和发展。人工智能的快速兴起将为植物工厂的创新发展与拓展应用带来新的契机。文章陈述了发展智慧植物工厂,建立多元化食物供给生产系统的战略意义,分析了植物工厂高成本的主要瓶颈在于一次性建筑投入大与折旧费用高,适生作物缺乏深度发掘与品种匮乏,生产过程高能耗与劳力成本,以及应用场景与产业模式狭窄等;指出人工智能在多元化食物生产、辅助育种、光源能源优化、精细环境控制、生产决策和任务管理等方面的创新优势,结合科学规划和政策引导,将打造多元化食物生产系统植物工厂的新生态。 展开更多
关键词 智慧植物工厂 适生作物品种 LED照明 精准环境控制 人工智能大模型
原文传递
Evaluation of Nutrient Components and Nutritive Quality of Larimichthys crocea(Big Yellow Croaker)in Different Aquaculture Models
11
作者 Zhong Aihua Chu Zhangjie +1 位作者 Dai Luyi Wang Xiaojun 《Animal Husbandry and Feed Science》 CAS 2014年第6期296-299,318,共5页
To ascertain the nutrient components and nutritive quality of the flesh of big yellow croaker in three culture conditions ( traditional cage, offshore cage and cage-free), basic nutritional components,amino acid,fat... To ascertain the nutrient components and nutritive quality of the flesh of big yellow croaker in three culture conditions ( traditional cage, offshore cage and cage-free), basic nutritional components,amino acid,fatty acid and mineral elements were determined. The results indicated that crude protein in flesh of the big yellow croaker in cage-free culture was higher than that in offshore cage and much higher than that in traditional cage ( P 〈0.05). Crude fat of the croaker cul- tured in the traditional cage was twice as high as that in cage-free culture, while that in the offshore cage was in the middle. Proline content in the cage-free culture was much higher than that in the offshore cage, and also than that in the traditional cage (P 〈 0.05 ). There was no significant difference in the content of alanine, methionine and tryptophan ( P 〈 0.05). Contents of other amino acids had no significant difference between the cage-free culture and offshore cage, but were much lower in the traditional cage (P 〈 0.05 ). Top six fatty acids were 9-Hexadecenoic acid, palmitic acid,9-Octadecenoic acid, Octadecauoic acid, DHA and EPA. The palmitic acid content was the highest in cage-free culture and in traditional cage, 9-Octadeeenoic acid content was the highest in offshore cage. Content of unsaturat- ed fatty acids in cage-free culture, offshore cage and traditional cage was 63.60,66.32,57.67, respectively, and polyunsaturated fatty acid was 29.10, 28.57, and 24.40. Content of DHA in cage-free culture was significantly higher than that in the offshore and traditional cage. Content of zinc had no significant difference in three culture models. Content of phosphorus had no significant difference between that in cage-free culture and offshore cage, was lower in the traditional cage. The cage-free cultured croakers had the highest content of calcium and phosphorus. Content of selenium was about the same between the offshore cage and the traditional cage stocking, higher in the cage-free culture. This research has considerable application value for identifying quality and sources of the big yellow croakers. 展开更多
关键词 Culture model Larimichthys crocea big yellow croaker) Fish nutrient Quality evaluation
在线阅读 下载PDF
生成式人工智能重塑国际中文教育数智化创新之分析 被引量:4
12
作者 杜敏 郑东晓 《吉林大学社会科学学报》 北大核心 2025年第1期225-233,240,共10页
生成式人工智能的出现给国际中文教育带来机遇和挑战。生成式人工智能具有强大的语言理解能力,能够根据用户的提示词创建生成多种类型的数据,用于国际中文教育的招生、教学、管理、测试等方方面面。生成式人工智能可使国际中文教育数字... 生成式人工智能的出现给国际中文教育带来机遇和挑战。生成式人工智能具有强大的语言理解能力,能够根据用户的提示词创建生成多种类型的数据,用于国际中文教育的招生、教学、管理、测试等方方面面。生成式人工智能可使国际中文教育数字资源生产自动化,要打造国际中文教育专属的生成式人工智能,汇聚国际中文教育的数据资源,建设嵌入各类应用软件的生成式人工智能助手。“可汗学院”与“多邻国”的人工智能语言学习案例,促使生成式人工智能在国际中文教育领域应用的提速进行。 展开更多
关键词 生成式人工智能 国际中文教育 数智技术 大语言模型
原文传递
基于新型中医人工智能可解释推理模型的眩晕辨证诊断
13
作者 江启煜 孙晓生 罗晓牧 《中华中医药学刊》 北大核心 2025年第5期21-27,I0004-I0007,共11页
目的创新性地提出了一种能够直观利用中医诊断学知识推理的智能辨证模型以及零临床样本机器学习训练方法,并以眩晕病辨证进行实例分析。方法在基于Transformer的双向编码器(Bidirectional encoder representations from transformers,Be... 目的创新性地提出了一种能够直观利用中医诊断学知识推理的智能辨证模型以及零临床样本机器学习训练方法,并以眩晕病辨证进行实例分析。方法在基于Transformer的双向编码器(Bidirectional encoder representations from transformers,Bert)深度学习大语言模型的基础上提出新的推理算法,以建立新型智能诊断推理模型。根据《中医内科学》眩晕病肝阳上亢、气血亏虚等6种证型的辨证要点,通过随机函数生成每类证型各400例辨证样本句子序列,直接让模型学习诊断学知识。以5折交叉法对新模型和随机森林模型进行预测对比,以准确率(Accuracy)、F1值(F1-score)、受试者工作特征曲线(Receiver operating characteristic curve,ROC曲线)、精确率-召回率曲线(Precision-recall curve,P-R曲线)等指标评价模型对各种证型的预测性能。同时通过新模型自动输出的辨证推理图直观展示算法对中医辨证思维的模拟推理过程,根据模型推理过程中产生的症状和概率组合数据,计算并绘制证型-概率密度分布图、症状-证型关联聚类热图、证型-证型Pearson相关性分析图,进一步验证辨证结果的可靠性。结果新模型使用5折交叉法测试的平均总体Accuracy以及F1值分别为0.990和0.971,在所有证型中肝肾阴虚的Accuracy(0.975)以及F1值(0.923)最低。ROC曲线和P-R曲线显示新模型预测能力较差的是肝肾阴虚证和肝阳上亢证,而随机森林预测能力较差的是气血亏虚证。证型-概率密度分布图、症状-证型关联聚类热图的数据分布与新模型的推理结论相符,证型-证型Pearson相关性图显示模型所诊断的主证型与其余证型负相关且相关系数的P值小于0.01,表明模型推理过程中对证型的区分性良好。结论基于新型中医智能诊断推理模型,能够进行眩晕智能辨证并根据中医辨证思维展示推理过程,可能有助于解决当前中医人工智能诊断领域的瓶颈难题。 展开更多
关键词 人工智能 可解释性 眩晕 辨证 中医诊断 推理 深度学习 大语言模型 中医 大模型
原文传递
草类植物种子学实验课大实验模式设计与实践 被引量:1
14
作者 韩云华 胡小文 +2 位作者 刘亚洁 余玲 王彦荣 《草业科学》 北大核心 2025年第1期260-265,共6页
课程大实验教学模式可有效融合课程知识点,提升教学的系统性。草类植物种子学实验课是草业科学专业的一门专业核心课,为解决草类植物种子学实验课内容分散、系统性不强的问题,在课程大实验教学理论的指导下,兰州大学草类植物种子学实验... 课程大实验教学模式可有效融合课程知识点,提升教学的系统性。草类植物种子学实验课是草业科学专业的一门专业核心课,为解决草类植物种子学实验课内容分散、系统性不强的问题,在课程大实验教学理论的指导下,兰州大学草类植物种子学实验教学团队从课程内容更新、教学方式革新、考核方式完善和教师能力提升等方面进行了调整和优化,取得了良好的教学效果,可作为类似实验课程的改革范例。 展开更多
关键词 种子学实验 课程大实验 教学模式 教学改革 教学设计 教学方式 教学效果
在线阅读 下载PDF
人工智能赋能大数据实验课程改革与实践 被引量:1
15
作者 王晓燕 黄岚 +1 位作者 王岩 邹淑雪 《计算机教育》 2025年第7期91-97,共7页
针对当前高等教育领域中传统教育模式向智能化、个性化模式转型过程中存在的问题与状况,分析如何有效地将人工智能技术与大数据实验课程相结合,特别是在大数据实训这门课程中,提出并阐述通过融合人工智能工具与大模型技术来提升教学质... 针对当前高等教育领域中传统教育模式向智能化、个性化模式转型过程中存在的问题与状况,分析如何有效地将人工智能技术与大数据实验课程相结合,特别是在大数据实训这门课程中,提出并阐述通过融合人工智能工具与大模型技术来提升教学质量和学生学习体验的观点。 展开更多
关键词 人工智能 KAPIV 大语言模型 大数据
在线阅读 下载PDF
数据要素驱动农业高质量发展的作用机理——基于4个典型案例的探索性分析
16
作者 冯献 李瑾 +1 位作者 崔凯 张怀波 《中国农业大学学报》 北大核心 2025年第9期319-335,共17页
为厘清数据要素驱动农业高质量发展的作用机理,在理论辨析基础上,基于4个典型案例的探索性分析,探究数据要素驱动农业高质量发展实践的技术逻辑和应用逻辑,总结农业数据要素开发利用的实现机制以及面临的核心挑战。研究发现:1)数据要素... 为厘清数据要素驱动农业高质量发展的作用机理,在理论辨析基础上,基于4个典型案例的探索性分析,探究数据要素驱动农业高质量发展实践的技术逻辑和应用逻辑,总结农业数据要素开发利用的实现机制以及面临的核心挑战。研究发现:1)数据要素驱动农业高质量发展的技术逻辑在于构建“数据-模型-算法”三位一体的智能决策体系,破解“生产决策科学性”和“资源配置最优化”两大核心命题;2)应用逻辑在于数据要素与农业全系统、全流程的深度渗透,通过释放乘数效应重构农业产业链协同机制;3)推动农业全产业链数据要素开发利用,需首先解决高质量数据的获取问题,继而从技术适配性、经济性、推广性等方面建立差异化适配机制;4)针对实践中面临的数据开放共享不够、供给质量不高、应用价值挖掘不足等问题,建议加强农业数据治理体系、采集体系、标准体系、技术体系以及应用场景建设,深挖数据要素化价值,推动农业高质量发展。 展开更多
关键词 数据要素 农业高质量发展 农业大数据 农业大模型 智慧农业
原文传递
World-Universe Model—Alternative to Big Bang Model 被引量:1
17
作者 Vladimir S. Netchitailo 《Journal of High Energy Physics, Gravitation and Cosmology》 2020年第1期133-158,共26页
This manuscript provides a comparison of the Hypersphere World-Universe Model (WUM) with the prevailing Big Bang Model (BBM) of the Standard Cosmology. The performed analysis of BBM shows that the Four Pillars of the ... This manuscript provides a comparison of the Hypersphere World-Universe Model (WUM) with the prevailing Big Bang Model (BBM) of the Standard Cosmology. The performed analysis of BBM shows that the Four Pillars of the Standard Cosmology are model-dependent and not strong enough to support the model. The angular momentum problem is one of the most critical problems in BBM. Standard Cosmology cannot explain how Galaxies and Extra Solar systems obtained their substantial orbital and rotational angular momenta, and why the orbital momentum of Jupiter is considerably larger than the rotational momentum of the Sun. WUM is the only cosmological model in existence that is consistent with the Law of Conservation of Angular Momentum. To be consistent with this Fundamental Law, WUM discusses in detail the Beginning of the World. The Model introduces Dark Epoch (spanning from the Beginning of the World for 0.4 billion years) when only Dark Matter Particles (DMPs) existed, and Luminous Epoch (ever since for 13.8 billion years). Big Bang discussed in Standard Cosmology is, in our view, transition from Dark Epoch to Luminous Epoch due to Rotational Fission of Overspinning Dark Matter (DM) Supercluster’s Cores. WUM envisions Matter carried from the Universe into the World from the fourth spatial dimension by DMPs. Ordinary Matter is a byproduct of DM annihilation. WUM solves a number of physical problems in contemporary Cosmology and Astrophysics through DMPs and their interactions: Angular Momentum problem in birth and subsequent evolution of Galaxies and Extrasolar systems—how do they obtain it;Fermi Bubbles—two large structures in gamma-rays and X-rays above and below Galactic center;Diversity of Gravitationally-Rounded Objects in Solar system;some problems in Solar and Geophysics [1]. WUM reveals Inter-Connectivity of Primary Cosmological Parameters and calculates their values, which are in good agreement with the latest results of their measurements. 展开更多
关键词 big Bang model Four Pillars of Standard Cosmology ANGULAR MOMENTUM Problem Black Holes Hypersphere World-Universe model Multicomponent DARK MATTER Macroobjects Structure Law of Conservation of ANGULAR MOMENTUM Medium of the World Inter-Connectivity of Primary Cosmological Parameters The Beginning of the World DARK EPOCH Rotational Fission Luminous EPOCH Macroobject Shell model DARK MATTER Core Gravitational Burst Intergalactic Plasma Microwave Background Radiation Far-Infrared Background Radiation Emergent Phenomena CODATA
在线阅读 下载PDF
数据生态视角下科研大数据治理成熟度模型构建与评估研究 被引量:1
18
作者 韩春花 许海云 +3 位作者 孙杰 佟泽华 王雅洁 邢敬培 《情报理论与实践》 北大核心 2025年第4期22-34,共13页
[目的/意义]科研大数据治理成熟度测度是科研大数据治理的核心内容之一,其评估理论与实践的缺乏是当前科研大数据的“割裂”“沉睡”“休眠”的症结之一。构建数据生态视角下科研大数据治理成熟度评估模型,以优化科研大数据治理成熟度... [目的/意义]科研大数据治理成熟度测度是科研大数据治理的核心内容之一,其评估理论与实践的缺乏是当前科研大数据的“割裂”“沉睡”“休眠”的症结之一。构建数据生态视角下科研大数据治理成熟度评估模型,以优化科研大数据治理成熟度评估方法。[方法/过程]基于数据生态理论的视角,构建科研大数据治理成熟度模型(MM-SRBDG),研建由8个核心域、29个能力域、101个过程域构成的科研大数据治理成熟度指标体系,构建“专家打分法(E)—木桶原理法(C)—AHP法”相结合的综合评估方法(E-C-A综合评估法),并结合实际案例进行综合评估和系统性分析。[结果/结论]MM-SRBDG系统化地阐释了科研大数据治理成熟度的构成维度,形成了科研大数据治理成熟度研究的系统性治理的新视角与新范式。MM-SRBDG的治理成熟度指标体系具有系统性和纵深性,构建的针对不同维度差异性评价的成熟度综合评估方法,可为科研大数据治理成熟度评估提供理论依据和实践参考,助力科研大数据治理水平提升。 展开更多
关键词 科研大数据治理 成熟度评估 指标体系 数据生态 E-C-A综合评估法
原文传递
基于大数据分析的物流配送路线优化模型构建 被引量:1
19
作者 马浩 李泽 《物流科技》 2025年第4期25-27,共3页
在大数据技术不断发展的背景下,我国物流行业面临着全新的优化契机。文章引入物流管理理论、大数据分析技术和物流信息技术等方面的知识,对基于大数据分析物流配送路线优化模型的构建流程进行了详细说明,包括数据的采集与处理、模型的... 在大数据技术不断发展的背景下,我国物流行业面临着全新的优化契机。文章引入物流管理理论、大数据分析技术和物流信息技术等方面的知识,对基于大数据分析物流配送路线优化模型的构建流程进行了详细说明,包括数据的采集与处理、模型的构建原则和框架设计、多目标优化模型设计、模型设计与参数选择等,同时通过实际案例应用对模型效果进行验证,探讨其优点和局限并据此对今后的研究方向及改进措施提出展望。 展开更多
关键词 物流配送 路线优化 大数据分析 模型构建 物流信息技术
在线阅读 下载PDF
基于区块链的大模型数据监管体系设计 被引量:2
20
作者 李守伟 张嘉政 +1 位作者 何海波 陈明辉 《信息安全研究》 北大核心 2025年第8期682-692,共11页
大模型(large model,LM)在自然语言处理、图像、语音识别等领域展现出巨大潜力,成为推动科技革命与社会进步的关键力量.但大模型技术的广泛应用带来了数据隐私风险、数据合规性监管、数据监管活跃性与智能化等挑战.旨在探讨如何利用区... 大模型(large model,LM)在自然语言处理、图像、语音识别等领域展现出巨大潜力,成为推动科技革命与社会进步的关键力量.但大模型技术的广泛应用带来了数据隐私风险、数据合规性监管、数据监管活跃性与智能化等挑战.旨在探讨如何利用区块链技术设计和构建一个有效的大模型数据监管体系促进其健康发展,以应对海量数据应用于大模型所带来的挑战.分析了国内外大模型发展的趋势和现状,指出了大模型数据监管面临的主要挑战,包括数据隐私问题、数据合规性、监管机构难以有效监督等.针对这些挑战提出一种基于区块链技术的数据监管体系设计方案,通过隐私保护、共识算法、激励机制和智能合约4个互相联动的模块实现对大模型数据从原生元数据到输入大模型训练,直至训练后反馈的全周期数据监管.最后总结了区块链技术在大模型数据监管中的应用前景,并对未来大模型数据监管的发展趋势进行了展望. 展开更多
关键词 大模型 区块链 大模型数据监管 大数据 隐私保护 数据安全
在线阅读 下载PDF
上一页 1 2 164 下一页 到第
使用帮助 返回顶部