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Beamforming and fronthaul compression design for intelligent reflecting surface aided cloud radio access Research Article
Yu ZHANG, Xuelu WU, Hong PENG, Caijun ZHONG, Xiaoming CHEN,yzhang@zjut.edu.cn,ph@zjut.edu.cn,caijunzhong@zju.edu.cn,chen_xiaoming@zju.edu.cn
Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 1, Pages 31-46 doi: 10.1631/FITEE.2100307
Keywords: Cloud radio access network (C-RAN) Intelligent reflecting surface (IRS) Transmit beamforming Fronthaul
Xiong-bin PENG, Guo-fang GONG, Hua-yong YANG, Hai-yang LOU, Wei-qiang WU, Tong LIU
Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 10, Pages 1624-1634 doi: 10.1631/FITEE.1601104
Keywords: Large-scale reflecting telescope Quantitative feedback theory Electro-hydraulic position control system
Development Strategy of Intelligent Ship Engineering Technology
Lang Shuyan, Zeng Xiaoguang, Zhang Min
Strategic Study of CAE 2019, Volume 21, Issue 6, Pages 27-32 doi: 10.15302/J-SSCAE-2019.06.005
With the rapid development of emerging technologies, intelligent shipIn this study, we introduced the technical classification of intelligent ships, summarized the currentdevelopment status of intelligent ship technology in China and abroad, studied the characteristics ofFurthermore, we suggest that China should pay equal attention to R & D and application of the intelligent
Keywords: ship intelligention intelligent ship technology intelligent ship
Intelligent Products and Equipment Led by New-Generation Artificial Intelligence
Tan Jianrong, Liu Zhenyu, Xu Jinghua
Strategic Study of CAE 2018, Volume 20, Issue 4, Pages 35-43 doi: 10.15302/J-SSCAE-2018.04.007
Intelligent products and equipment is the value carrier, technologicalprerequisite and material base of intelligent manufacturing and service.The intelligent products and equipment refers to two dialectical aspects: on the one hand, commercializationof intelligent technology, turning intelligence technology into products, which is mainly reflectedmanufacturing equipment, intelligent production, and intelligent management.
Keywords: intelligent products and equipment knowledge engineering intelligent state sensing intelligent variationadaptation intelligent knowledge learning intelligent control decision
New technology foresight method based on intelligent knowledge management
Lingling ZHANG, Siting HUANG
Frontiers of Engineering Management 2020, Volume 7, Issue 2, Pages 238-247 doi: 10.1007/s42524-019-0062-z
Keywords: technology foresight intelligent knowledge management technological online platform
Intelligent Forecasting Mode and Approach of Mid and Long Term Intelligent Hydrological Forecasting
Chen Shouyu,Guo Yu,Wang Dagang
Strategic Study of CAE 2006, Volume 8, Issue 7, Pages 30-35
Intelligent calculating tools such as fuzzy optimization approaches, BP neural network and geneticorganically synthesizes fuzzy optimal selection, BP neural network and genetic algorithm and establishes intelligentThe results are highly promising and show that the operation speed, precision and stability of intelligent
Keywords: fuzzy optimal selection BP neural network genetic algorithm intelligent forecasting mode mid and longterm intelligent hydrological forecasting
Cell surface protein engineering for high-performance whole-cell catalysts
Hajime Nakatani,Katsutoshi Hori
Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 1, Pages 46-57 doi: 10.1007/s11705-017-1609-3
Keywords: cell surface engineering surface display whole-cell catalysts bioprocess
Intelligent Petroleum Engineering Perspective
Mohammad Ali Mirza, Mahtab Ghoroori, Zhangxin Chen
Engineering 2022, Volume 18, Issue 11, Pages 27-32 doi: 10.1016/j.eng.2022.06.009
Data-driven approaches and AI algorithms are promising enough to be relied on even more than physics-based methods; their main feed is data which is the fundamental element of each phenomenon. These algorithms learn from data and unveil unseen patterns out of it. The petroleum industry as a realm where huge volumes of data are generated every second is of great interest to this new technology. As the oil and gas industry is in the transition phase to oilfield digitization, there has been an increased drive to integrate data-driven modeling and machine learning algorithms in different petroleum engineering challenges. ML has been widely used in different areas of the industry. Many extensive studies have been devoted to exploring AI applicability in various disciplines of this industry; however, lack of two main features is noticeable. Most of the research is either not practical enough to be applicable in real-field challenges or limited to a specific problem and not generalizable. Attention must be given to data itself and the way it is classified and stored. Although there are sheer volumes of data coming from different disciplines, they reside in departmental silos and are not accessible by consumers. In order to derive as much insight as possible out of data, the data needs to be stored in a centralized repository from where the data can be readily consumed by different applications.
Keywords: Artificial intelligence Machine learning Intelligent reservoir engineering Text mining Intelligentgeoscience Intelligent drilling engineering
Intelligent Manufacturing of Special Equipment Based on Intelligent Connection
Liu Sanjiang, Chen Zuzhi, Shi Kun, Li Guanghai
Strategic Study of CAE 2020, Volume 22, Issue 6, Pages 143-150 doi: 10.15302/J-SSCAE-2020.06.019
Keywords: special equipment intelligent manufacturing intelligent connection parallel development
Intelligent Drilling and Completion: A Review Review
Gensheng Li,Xianzhi Song,Shouceng Tian,Zhaopeng Zhu,
Engineering 2022, Volume 18, Issue 11, Pages 33-48 doi: 10.1016/j.eng.2022.07.014
Keywords: Intelligent drilling and completion Artificial intelligence Intelligent application scenarios Literature
An Exploration of Surface Integrity Remanufacturing for Aeroengine Components
Qiao Xiang,Yong He,Ting-hong Hou
Frontiers of Engineering Management 2016, Volume 3, Issue 2, Pages 107-114 doi: 10.15302/J-FEM-2016025
Keywords: aeroengine component surface integrity remanufacturing surface integrity remanufacturing
Review on mechanism and process of surface polishing using lasers
Arun KRISHNAN, Fengzhou FANG
Frontiers of Mechanical Engineering 2019, Volume 14, Issue 3, Pages 299-319 doi: 10.1007/s11465-019-0535-0
Keywords: laser polishing surface roughness process parameters mechanism
Tool path strategy and cutting process monitoring in intelligent machining
Ming CHEN, Chengdong WANG, Qinglong AN, Weiwei MING
Frontiers of Mechanical Engineering 2018, Volume 13, Issue 2, Pages 232-242 doi: 10.1007/s11465-018-0469-y
Intelligent machining is a current focus in advanced manufacturing technology, and is characterizedA central technology of intelligent machining—the cutting process online monitoring and optimizationmachining, cranio-maxillofacial surgery, and hydraulic servo valve deburring are introduced as examples of intelligentResults show that intelligent tool path optimization and cutting process online monitoring are efficient
Keywords: intelligent machining tool path strategy process optimization online monitoring
Satellite scheduling engine: The intelligent solver for future multi-satellite management
Frontiers of Engineering Management 2022, Volume 9, Issue 4, Pages 683-688 doi: 10.1007/s42524-022-0222-4
Title Author Date Type Operation
Beamforming and fronthaul compression design for intelligent reflecting surface aided cloud radio access
Yu ZHANG, Xuelu WU, Hong PENG, Caijun ZHONG, Xiaoming CHEN,yzhang@zjut.edu.cn,ph@zjut.edu.cn,caijunzhong@zju.edu.cn,chen_xiaoming@zju.edu.cn
Journal Article
Yin Haifan: Significant Enhancement of the 5g Network Coverage with Reconfiguruble Intelligent Surface
26 Oct 2021
Conference Videos
feedback controller design and test for an electro-hydraulic position control system in a large-scale reflecting
Xiong-bin PENG, Guo-fang GONG, Hua-yong YANG, Hai-yang LOU, Wei-qiang WU, Tong LIU
Journal Article
Development Strategy of Intelligent Ship Engineering Technology
Lang Shuyan, Zeng Xiaoguang, Zhang Min
Journal Article
Intelligent Products and Equipment Led by New-Generation Artificial Intelligence
Tan Jianrong, Liu Zhenyu, Xu Jinghua
Journal Article
New technology foresight method based on intelligent knowledge management
Lingling ZHANG, Siting HUANG
Journal Article
Intelligent Forecasting Mode and Approach of Mid and Long Term Intelligent Hydrological Forecasting
Chen Shouyu,Guo Yu,Wang Dagang
Journal Article
Cell surface protein engineering for high-performance whole-cell catalysts
Hajime Nakatani,Katsutoshi Hori
Journal Article
Intelligent Petroleum Engineering
Mohammad Ali Mirza, Mahtab Ghoroori, Zhangxin Chen
Journal Article
Intelligent Manufacturing of Special Equipment Based on Intelligent Connection
Liu Sanjiang, Chen Zuzhi, Shi Kun, Li Guanghai
Journal Article
Intelligent Drilling and Completion: A Review
Gensheng Li,Xianzhi Song,Shouceng Tian,Zhaopeng Zhu,
Journal Article
An Exploration of Surface Integrity Remanufacturing for Aeroengine Components
Qiao Xiang,Yong He,Ting-hong Hou
Journal Article
Review on mechanism and process of surface polishing using lasers
Arun KRISHNAN, Fengzhou FANG
Journal Article
Tool path strategy and cutting process monitoring in intelligent machining
Ming CHEN, Chengdong WANG, Qinglong AN, Weiwei MING
Journal Article