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贾贵玺,李洪凤,齐炜
《中国工程科学》 2004年 第6卷 第11期 页码 58-62
智能多路数据采集系统实现了多路温度采集与检测,利用仪用放大器AD620进行信号放大,采用LM331型电压-频率转换器进行电量转换,采用89S52单片机进行数据采集及存储并用Visual Basic6.0实现单片机与PC机的通信;最后给出了智能多路数据采集系统在梅江小区综合办公楼生态能源示范系统的应用数据。
Sivasankari SUNDARAM,Jakka SARAT CHANDRA BABU
《能源前沿(英文)》 2015年 第9卷 第3期 页码 311-321 doi: 10.1007/s11708-015-0369-3
关键词: global horizontal irradiance (GHI) mean bias error root mean square error mean percentage error coefficient of regression Visual Basic 2010 Express
Luosi WEI, Zongxia JIAO
《机械工程前沿(英文)》 2009年 第4卷 第2期 页码 184-191 doi: 10.1007/s11465-009-0034-9
关键词: machine vision visual location solder paste printing VisionPro
A visual graphic approach for mobility analysis of parallel mechanisms
Xu PEI, Jingjun YU
《机械工程前沿(英文)》 2011年 第6卷 第1期 页码 92-95 doi: 10.1007/s11465-011-0213-3
An autonomous miniature wheeled robot based on visual feedback control
CHEN Haichu
《机械工程前沿(英文)》 2007年 第2卷 第2期 页码 197-200 doi: 10.1007/s11465-007-0033-7
关键词: measuring distance autonomous locomotion advantage navigation
基于定量属性的单目标视觉跟踪算法评价体系研究 Article
Wen-jing KANG, Chang LIU, Gong-liang LIU
《信息与电子工程前沿(英文)》 2020年 第21卷 第3期 页码 405-421 doi: 10.1631/FITEE.1900245
关键词: 视觉跟踪;性能评价;视觉属性;计算机视觉
Economic Growth Model Based on Six Basic Factors of Production—Xu Growth Rate Equation
Shou-bo Xu,Zong-yuan Huang
《工程管理前沿(英文)》 2014年 第1卷 第2期 页码 160-175 doi: 10.15302/J-FEM-2014024
关键词: six basic factors of production economic growth model Xu Growth Rate Equation
Ultrasonic emulsification: basic characteristics, cavitation, mechanism, devices and application
《化学科学与工程前沿(英文)》 2023年 第17卷 第10期 页码 1560-1583 doi: 10.1007/s11705-022-2160-4
交互式可视化标注与主动学习:实验比较 Research
Mohammad CHEGIN, Jürgen BERNARD, Jian CUI, Fatemeh CHEGINI, Alexei SOURIN, Keith Keith, Tobias SCHRECK
《信息与电子工程前沿(英文)》 2020年 第21卷 第4期 页码 524-535 doi: 10.1631/FITEE.1900549
关键词: 交互式可视化标注;主动学习;可视分析
Wei LU,Zhi-yu XIANG,Ji-lin LIU
《信息与电子工程前沿(英文)》 2015年 第16卷 第2期 页码 152-165 doi: 10.1631/FITEE.1400139
关键词: Visual odometry Panoramic landmark Landmark matching Compressed sensing Adaptive compressive feature
王爱明,穆晓曦,李艾华
《中国工程科学》 2006年 第8卷 第8期 页码 65-68
射频识别技术是一种新型自动识别技术,具有可靠性高、保密性强,方便快捷、非接触等特点。将射频识别技术应用于后勤可视化系统,可以实时获取保障对象的需求及物资供应的类型、数量和流向等信息,从而实现全时段、全方位、全过程的供应保障。介绍了射频识别系统结构及工作原理,同时研究了射频识别技术在后勤可视化系统中的应用,所提出的在运物资可视化系统是根据贴在集装箱和装备上的射频识别标签实现的。
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《医学前沿(英文)》 2015年 第9卷 第1期 页码 123-128 doi: 10.1007/s11684-014-0366-7
Guidelines for the intraoperative transesophageal echocardiography (TEE) examination have defined a detailed standard for medical professionals, particularly anesthesiologists, on how a TEE exam should proceed. Over the years, TEE has gained substantial popularity and emerged as a preferred monitoring modality to aid in perioperative management and decision making during hemodynamic instability situations or critical care settings. TEE training pathways and practice guidelines have been well established in western countries and many regions of the world. However, TEE training and practice information for anesthesiologists are lacking in China. As innovative technologies develop, other educational models have emerged to aid in obtaining competency in basic TEE exam. Hence, establishing a consensus on the ideal TEE training approach for anesthesiologists in China is urgently needed. Developing an effective curriculum that can be incorporated into an anesthesiology resident’s overall training is also necessary to provide knowledge and skills toward competency in basic TEE exam. With evolving medical system reforms and increasing demands for intraoperative hemodynamic monitoring to accommodate surgical innovations, anesthesiology professionals are increasingly obliged to perform intraoperative TEE exams in their current and future practices. To overcome obstacles and achieve significant progress in using the TEE modality to help in intraoperative management and surgical decision making, publishing basic TEE training guidelines for China’s anesthesiologists is an important endeavor.
关键词: transesophageal echocardiography guidelines training competency
论视觉知识 Perspective
Yun-he PAN
《信息与电子工程前沿(英文)》 2019年 第20卷 第8期 页码 1021-1025 doi: 10.1631/FITEE.1910001
关键词: None
《环境科学与工程前沿(英文)》 2023年 第17卷 第6期 doi: 10.1007/s11783-023-1677-1
● MSWNet was proposed to classify municipal solid waste.
关键词: Municipal solid waste sorting Deep residual network Transfer learning Cyclic learning rate Visualization
标题 作者 时间 类型 操作
Theoretical prediction and validation of global horizontal solar irradiance for a tropical climate in India
Sivasankari SUNDARAM,Jakka SARAT CHANDRA BABU
期刊论文
Research and application of visual location technology for solder paste printing based on machine vision
Luosi WEI, Zongxia JIAO
期刊论文
Economic Growth Model Based on Six Basic Factors of Production—Xu Growth Rate Equation
Shou-bo Xu,Zong-yuan Huang
期刊论文
Ultrasonic emulsification: basic characteristics, cavitation, mechanism, devices and application
期刊论文
交互式可视化标注与主动学习:实验比较
Mohammad CHEGIN, Jürgen BERNARD, Jian CUI, Fatemeh CHEGINI, Alexei SOURIN, Keith Keith, Tobias SCHRECK
期刊论文
Design of an enhanced visual odometry by building and matching compressive panoramic landmarks online
Wei LU,Zhi-yu XIANG,Ji-lin LIU
期刊论文
Essential training steps to achieving competency in the basic intraoperative transesophageal echocardiography
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期刊论文