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章 云,梅雪松
《中国工程科学》 2013年 第15卷 第1期 页码 87-92
针对机床主轴在线自动平衡控制问题,阐述了高速主轴不平衡识别方法和在线自动平衡技术国内外现状,分析了喷液式在线自动平衡装置原理,设计了喷液式平衡系统,并通过高速主轴实验对该系统的有效性进行了验证。研究结果表明,主轴经过平衡后,不平衡量振动值由1.60 mm/s降至0.34 mm/s,主轴失衡振动得到了有效抑制。
Online gasoline blending with EPA Complex Model for predicting emissions
Stefan JANAQI, Mériam CHÈBRE, Guillaume PITOLLAT
《工程管理前沿(英文)》 2018年 第5卷 第2期 页码 214-226 doi: 10.15302/J-FEM-2017022
关键词: emissions reformulated gasoline online control global optimization
《工程管理前沿(英文)》 页码 563-576 doi: 10.1007/s42524-022-0198-0
关键词: Internet hospitals physicians’ online counseling online reputation offline reputation
A. CHITRA,S. HIMAVATHI
《能源前沿(英文)》 2015年 第9卷 第1期 页码 22-30 doi: 10.1007/s11708-014-0339-1
关键词: neural networks back propagation (BP) rotor resistance estimators vector control induction motor
Online control of biofilm and reducing carbon dosage in denitrifying biofilter: pilot and full-scale
Xiuhong Liu, Hongchen Wang, Qing Yang, Jianmin Li, Yuankai Zhang, Yongzhen Peng
《环境科学与工程前沿(英文)》 2017年 第11卷 第1期 doi: 10.1007/s11783-017-0895-9
关键词: Reclaimed water treatment Denitrifying biofilter Carbon dosage Backwash control
水下滑翔机航向控制 Article
You LIU, Qing SHEN, Dong-li MA, Xiang-jiang YUAN
《信息与电子工程前沿(英文)》 2017年 第18卷 第7期 页码 898-914 doi: 10.1631/FITEE.1601735
《工程管理前沿(英文)》 页码 499-516 doi: 10.1007/s42524-022-0221-5
关键词: online supermarkets split-order consolidation time–space network genetic algorithm
Zhen Xiang, Yingyan Yu
《医学前沿(英文)》 2019年 第13卷 第1期 页码 24-31 doi: 10.1007/s11684-019-0679-7
关键词: immune checkpoint blockade sensitivity resistance data mining
《环境科学与工程前沿(英文)》 2023年 第17卷 第12期 doi: 10.1007/s11783-023-1752-7
● Online learning models accurately predict influent flow rate at wastewater plants.
关键词: Wastewater prediction Data stream Online learning Batch learning Influent flow rates
Online recognition of drainage type based on UV-vis spectra and derivative neural network algorithm
《环境科学与工程前沿(英文)》 2021年 第15卷 第6期 doi: 10.1007/s11783-021-1430-6
• UV-vis absorption analyzer was applied in drainage type online recognition.
关键词: Drainage online recognition UV-vis spectra Derivative spectrum Convolutional neural network
Quality and readability of online information resources on insomnia
null
《医学前沿(英文)》 2017年 第11卷 第3期 页码 423-431 doi: 10.1007/s11684-017-0524-9
The internet is a major source for health information. An increasing number of people, including patients with insomnia, search for remedies online; however, little is known about the quality of such information. This study aimed to evaluate the quality and readability of insomnia-related online information. Google was used as the search engine, and the top websites on insomnia that met the inclusion criteria were evaluated for quality and readability. The analyzed websites belonged to nonprofit, commercial, or academic organizations and institutions such as hospitals and universities. Insomnia-related websites typically included definitions (85%), causes and risk factors (100%), symptoms (95%), and treatment options (90%). Cognitive behavioral therapy for insomnia (CBT-I) was the most commonly recommended approach for insomnia treatment, and sleep drugs are frequently mentioned. The overall quality of the websites on insomnia is moderate, but all the content exceeded the recommended reading ease levels. Concerns that must be addressed to increase the quality and trustworthiness of online health information include sharing metadata, such as authorship, time of creation and last update, and conflicts of interest; providing evidence for reliability; and increasing the readability for a layman audience.
关键词: insomnia internet readability information quality health literacy cognitive behavioral therapy treatment
ZHANG Hengliang, XIE Danmei, XIONG Yangheng, SUN Kunfeng
《能源前沿(英文)》 2007年 第1卷 第3期 页码 322-326 doi: 10.1007/s11708-007-0047-1
A prototype online database-enabled design framework for wind analysis/design of low-rise buildings
Dae Kun KWON,Ahsan KAREEM,Deepak KUMAR,Yukio TAMURA
《结构与土木工程前沿(英文)》 2016年 第10卷 第1期 页码 121-130 doi: 10.1007/s11709-015-0329-3
关键词: wind loads low-rise building pressure measurement aerodynamics building design structural response building codes information technology (IT)
提高在线模型识别平台效率的多目标最优实验设计框架 Article
Arun Pankajakshan, Conor Waldron, Marco Quaglio, Asterios Gavriilidis, Federico Galvanin
《工程(英文)》 2019年 第5卷 第6期 页码 1049-1059 doi: 10.1016/j.eng.2019.10.003
自动化和数字化方面的最新进展使得物理设备与其对应的虚拟设备紧密集成,从而促进了实时建模与多个过程的自动优化。此类系统提供了丰富且不断更新的数据环境,使得系统随着时间的推移做出决策,并将过程推向最优目标成为可能。在许多制造过程中,为了实现整体最优过程,必须同时评估与过程性能和成本有关的多个目标函数。本文提出了一个多目标最优实验设计框架,用于提高在线模型识别平台的效率。所提出的框架能够灵活权衡实验设计解决方案,这些解决方案可以在线计算(即在执行实验期间)。将该框架应用于流动反应器中动力学模型在线识别的案例研究,并确定了微反应器中苯甲酸(benzoic acid, BA)和乙醇酯化的动力学模型。
一种对工业过程复杂液体进行非接触原态在线实时监测方法 Article
段宁, 降林华, 徐夫元, 张歌
《工程(英文)》 2018年 第4卷 第3期 页码 392-397 doi: 10.1016/j.eng.2018.05.005
无法对工业过程大量存在的复杂液体在线实时监测导致资源消耗和污染产生过多的现象十分普遍。本文介绍一种对高强包裹性和高盐多组分液体中目标物质进行非接触原态在线实时监测的方法,该方法的原理是建立液体中目标物质浓度(C)、不同浓度目标物质色空间坐标(L*, a*, b*) 和最大吸收波长(λmax)三者之间的关系,利用最佳波长λT下高精度扫描式检测系统表达的液体光强信息直接测定流动液体中目标物质的瞬时浓度。与传统分析方法和现有在线分析方法不同,这种方法无需对样品进行任何预处理(过滤、稀释、定容、氧化/还原、添加显色剂等),可实现测试样品的原态化在线实时监测。将一家大型电解锰企业陈化液(Fe3+浓度0.5~18 mg•L-1, 锰离子35~39 g•L-1,硫酸铵90~110 g•L-1)胶体化过程中三价铁离子浓度的实测结果与离线实验室测试结果相比,二者相对误差小于2%。
标题 作者 时间 类型 操作
Online gasoline blending with EPA Complex Model for predicting emissions
Stefan JANAQI, Mériam CHÈBRE, Guillaume PITOLLAT
期刊论文
Investigating the effect of online and offline reputation on the provision of online counseling services
期刊论文
A modified neural learning algorithm for online rotor resistance estimation in vector controlled induction
A. CHITRA,S. HIMAVATHI
期刊论文
Online control of biofilm and reducing carbon dosage in denitrifying biofilter: pilot and full-scale
Xiuhong Liu, Hongchen Wang, Qing Yang, Jianmin Li, Yuankai Zhang, Yongzhen Peng
期刊论文
Split-order consolidation optimization for online supermarkets: Process analysis and optimization models
期刊论文
Screening responsive or resistant biomarkers of immune checkpoint inhibitors based on online databases
Zhen Xiang, Yingyan Yu
期刊论文
Online machine learning for stream wastewater influent flow rate prediction under unprecedented emergencies
期刊论文
Online recognition of drainage type based on UV-vis spectra and derivative neural network algorithm
期刊论文
Research and development of a high-quality thermal-stress online monitoring model for the 600 MW turbine
ZHANG Hengliang, XIE Danmei, XIONG Yangheng, SUN Kunfeng
期刊论文
A prototype online database-enabled design framework for wind analysis/design of low-rise buildings
Dae Kun KWON,Ahsan KAREEM,Deepak KUMAR,Yukio TAMURA
期刊论文
提高在线模型识别平台效率的多目标最优实验设计框架
Arun Pankajakshan, Conor Waldron, Marco Quaglio, Asterios Gavriilidis, Federico Galvanin
期刊论文