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《能源前沿(英文)》 doi: 10.1007/s11708-022-0847-3
关键词: end-to-end learning microgrids voltage profile improvement generative adversarial network
《结构与土木工程前沿(英文)》 页码 1515-1529 doi: 10.1007/s11709-022-0887-0
关键词: source-to-structure simulation FK-FEM hybrid approach underground structures point dislocation source
一种端到端语音合成中的高效解码自注意力网络 Research Article
赵伟1,2,许力1,2
《信息与电子工程前沿(英文)》 2022年 第23卷 第7期 页码 1127-1138 doi: 10.1631/FITEE.2100501
关键词: 高效解码;端到端;自注意力网络;语音合成
End-to-end delay analysis for networked systems
Jie SHEN,Wen-bo HE,Xue LIU,Zhi-bo WANG,Zhi WANG,Jian-guo YAO
《信息与电子工程前沿(英文)》 2015年 第16卷 第9期 页码 732-743 doi: 10.1631/FITEE.1400414
ZHANG Xuewen, XUAN Wei, JIANG Tao, JI Degang, YANG Yongsheng, ZHANG Dan, XIE Yingjun, MENG Zihui, ZHAO Jisheng
《医学前沿(英文)》 2007年 第1卷 第1期 页码 46-48 doi: 10.1007/s11684-007-0009-3
无线多媒体传感器网络中端对端时延资源调配的多层次跨层协议 Regular Papers-Research Articles
Hossein HADADIAN NEJAD YOUSEFI, Yousef SEIFI KAVIAN, Alimorad MAHMOUDI
《信息与电子工程前沿(英文)》 2019年 第20卷 第9期 页码 1266-1276 doi: 10.1631/FITEE.1700855
Comparison on End-of-Life strategies of WEEE in China based on LCA
Bin Lu, Xiaolong Song, Jianxin Yang, Dong Yang
《环境科学与工程前沿(英文)》 2017年 第11卷 第5期 doi: 10.1007/s11783-017-0994-7
关键词: End-of-Life Waste electrical and electronic equipment Life cycle assessment Reuse
Development and application of high-end aerospace MEMS
Weizheng YUAN
《机械工程前沿(英文)》 2017年 第12卷 第4期 页码 567-573 doi: 10.1007/s11465-017-0424-3
This paper introduces the design and manufacturing technology of aerospace microelectromechanical systems (MEMS) characterized by high performance, multi-variety, and small batch. Moreover, several kinds of special MEMS devices with high precision, high reliability, and environmental adaptability, as well as their typical applications in the fields of aeronautics and aerospace, are presented.
关键词: MEMS design and manufacture technology aeronautic and aerospace
Experimental study on pile-end post-grouting piles for super-large bridge pile foundations
Weiming GONG, Guoliang DAI, Haowen ZHANG
《结构与土木工程前沿(英文)》 2009年 第3卷 第2期 页码 228-233 doi: 10.1007/s11709-009-0019-0
关键词: self-balanced testing technique pile-end post-grouting bearing capacity grouting technology
张俊,卢秉恒
《中国工程科学》 2017年 第19卷 第3期 页码 136-141 doi: 10.15302/J-SSCAE-2017.03.019
高端制造装备是高端装备制造业快速发展的基础,本文针对航空装备、航天装备、轨道交通装备、海洋工程装备、智能制造装备等高端装备制造业的“十三五”发展趋势,分析了各领域对高端机床和高端基础制造装备提出的新需求和未来的发展重点,并结合我国制造装备行业的现状,提出了几点建议,以促进我国高端装备制造业的良性发展。
Engineering management for high-end equipment intelligent manufacturing
Shanlin YANG, Jianmin WANG, Leyuan SHI, Yuejin TAN, Fei QIAO
《工程管理前沿(英文)》 2018年 第5卷 第4期 页码 420-450 doi: 10.15302/J-FEM-2018050
The high-end equipment intelligent manufacturing (HEIM) industry is of strategic importance to national and economic security. Engineering management (EM) for HEIM is a complex, innovative process that integrates natural science, technology, management science, social science, and the human spirit. New-generation information technology (IT), including the internet, cloud computing, big data, and artificial intelligence, have made a remarkable influence on HEIM and its engineering management activities, such as product system construction, product life cycle management, manufacturing resources organization, manufacturing model innovation, and reconstruction of the enterprise ecosystem. Engineering management for HEIM is a key topic at the frontier of international academic research. This study systematically reviews the current research on issues pertaining to engineering management for HEIM under the new-generation IT environment. These issues include cross-lifecycle management, network collaboration management, task integration management of innovative development, operation optimization of smart factories, quality and reliability management, information management, and intelligent decision making. The challenges presented by these issues and potential research opportunities are also summarized and discussed.
关键词: high-end equipment intelligent manufacturing engineering management information technology
Optimization of turbine cold-end system based on BP neural network and genetic algorithm
Chang CHEN,Danmei XIE,Yangheng XIONG,Hengliang ZHANG
《能源前沿(英文)》 2014年 第8卷 第4期 页码 459-463 doi: 10.1007/s11708-014-0335-5
关键词: optimization turbine cold-end system BP neural network genetic algorithm
Optimization of cold end system of steam turbine
ZHAO Bin, LIU Ling, ZHANG Wenbing
《能源前沿(英文)》 2008年 第2卷 第3期 页码 348-353 doi: 10.1007/s11708-008-0036-z
关键词: circulation characteristic analysis optimization condenser
A hybrid method for product low-end disruptive innovation
《机械工程前沿(英文)》 2022年 第17卷 第3期 doi: 10.1007/s11465-022-0690-6
关键词: low-end disruptive innovation product design design improvement theory of inventive problem solving TRIZ trimming
Optimization of cold-end system of thermal power plants based on entropy generation minimization
《能源前沿(英文)》 2022年 第16卷 第6期 页码 956-972 doi: 10.1007/s11708-021-0785-5
关键词: cold-end system entropy generation minimization optimization economic analysis genetic algorithm (GA)
标题 作者 时间 类型 操作
Topology-independent end-to-end learning model for improving the voltage profile in microgrids-integrated
期刊论文
An end-to-end 3d seismic simulation of underground structures due to point dislocation source by using
期刊论文
End-to-end delay analysis for networked systems
Jie SHEN,Wen-bo HE,Xue LIU,Zhi-bo WANG,Zhi WANG,Jian-guo YAO
期刊论文
Effect of end-to-end invagination pancreaticojejunostomy with circle discontinuous U suture in pancreatic
ZHANG Xuewen, XUAN Wei, JIANG Tao, JI Degang, YANG Yongsheng, ZHANG Dan, XIE Yingjun, MENG Zihui, ZHAO Jisheng
期刊论文
无线多媒体传感器网络中端对端时延资源调配的多层次跨层协议
Hossein HADADIAN NEJAD YOUSEFI, Yousef SEIFI KAVIAN, Alimorad MAHMOUDI
期刊论文
Comparison on End-of-Life strategies of WEEE in China based on LCA
Bin Lu, Xiaolong Song, Jianxin Yang, Dong Yang
期刊论文
Experimental study on pile-end post-grouting piles for super-large bridge pile foundations
Weiming GONG, Guoliang DAI, Haowen ZHANG
期刊论文
Engineering management for high-end equipment intelligent manufacturing
Shanlin YANG, Jianmin WANG, Leyuan SHI, Yuejin TAN, Fei QIAO
期刊论文
Optimization of turbine cold-end system based on BP neural network and genetic algorithm
Chang CHEN,Danmei XIE,Yangheng XIONG,Hengliang ZHANG
期刊论文