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Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0698-y
Keywords: minimally invasive surgery hand−eye calibration intuitive control surgical robot dual quaternion
Soundscape of classical Chinese garden
YUAN Xiaomei, WU Shuoxian
Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 2, Pages 172-178 doi: 10.1007/s11709-008-0026-6
Keywords: observation classical phenomena intuitive soundscape
An intuitive general rank-based correlation coefficient Research Articles
Divya PANDOVE, Shivani GOEL, Rinkle RANI
Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 6, Pages 699-711 doi: 10.1631/FITEE.1601549
Keywords: General rank-based correlation coefficient Multivariate analysis Predictive metric Spearman’s rank correlation coefficient
WHEAT STRIPE RUST AND INTEGRATION OF SUSTAINABLE CONTROL STRATEGIES IN CHINA
Frontiers of Agricultural Science and Engineering 2022, Volume 9, Issue 1, Pages 37-51 doi: 10.15302/J-FASE-2021405
Keywords: sustainable disease control / integrated control Puccinia striiformis / Triticum aestivum
A systematic review of current and emergent manipulator control approaches
Syed Ali AJWAD,Jamshed IQBAL,Muhammad Imran ULLAH,Adeel MEHMOOD
Frontiers of Mechanical Engineering 2015, Volume 10, Issue 2, Pages 198-210 doi: 10.1007/s11465-015-0335-0
Keywords: robot control robust and nonlinear control adaptive control intelligent control industrial manipulators
Emerging contaminant control: From science to action
Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 6, doi: 10.1007/s11783-022-1559-y
Keywords: Emerging contaminants Priority pollutants PPCPs POPs Control policy
Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 2, Pages 237-250 doi: 10.1007/s11705-021-2058-6
Keywords: nonlinear model predictive control black-box modeling continuous-time system identification machinelearning industrial applications of process control
Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense Feature Article
Yixin Zhu, Tao Gao, Lifeng Fan, Siyuan Huang, Mark Edmonds, Hangxin Liu, Feng Gao, Chi Zhang, Siyuan Qi, Ying Nian Wu, Joshua B. Tenenbaum, Song-Chun Zhu
Engineering 2020, Volume 6, Issue 3, Pages 310-345 doi: 10.1016/j.eng.2020.01.011
Recent progress in deep learning is essentially based on a “big data for small tasks” paradigm, under which massive amounts of data are used to train a classifier for a single narrow task. In this paper, we call for a shift that flips this paradigm upside down. Specifically, we propose a “small data for big tasks” paradigm, wherein a single artificial intelligence (AI) system is challenged to develop “common sense,” enabling it to solve a wide range of tasks with little training data. We illustrate the potential power of this new paradigm by reviewing models of common sense that synthesize recent breakthroughs in both machine and human vision. We identify functionality, physics, intent, causality, and utility (FPICU) as the five core domains of cognitive AI with humanlike common sense. When taken as a unified concept, FPICU is concerned with the questions of “why” and “how,” beyond the dominant “what” and “where” framework for understanding vision. They are invisible in terms of pixels but nevertheless drive the creation, maintenance, and development of visual scenes. We therefore coin them the “dark matter” of vision. Just as our universe cannot be understood by merely studying observable matter, we argue that vision cannot be understood without studying FPICU. We demonstrate the power of this perspective to develop cognitive AI systems with humanlike common sense by showing how to observe and apply FPICU with little training data to solve a wide range of challenging tasks, including tool use, planning, utility inference, and social learning. In summary, we argue that the next generation of AI must embrace “dark” humanlike common sense for solving novel tasks.
Keywords: Computer vision Artificial intelligence Causality Intuitive physics Functionality Perceived intent
Precision control system of two-DOF stage with linear ultrasonic motor
ZHANG Hanlei, SHI Yunlai, ZHAO Chunsheng
Frontiers of Mechanical Engineering 2008, Volume 3, Issue 4, Pages 421-425 doi: 10.1007/s11465-008-0063-9
Keywords: settling position accuracy PI control control algorithm orthogonal
A hybrid LQR-PID control design for seismic control of buildings equipped with ATMD
Amir Hossein HEIDARI, Sadegh ETEDALI, Mohamad Reza JAVAHERI-TAFTI
Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 1, Pages 44-57 doi: 10.1007/s11709-016-0382-6
Keywords: seismic control tuned mass dampers cuckoo search PID controller LQR controller
Frontiers in Energy 2022, Volume 16, Issue 6, Pages 943-955 doi: 10.1007/s11708-021-0793-5
Keywords: weak grids voltage source (VS) control wind turbine (WT) stabilization control wind farm inertial
Model-based nonlinear control of hydraulic servo systems: Challenges, developments and perspectives
Jianyong YAO
Frontiers of Mechanical Engineering 2018, Volume 13, Issue 2, Pages 179-210 doi: 10.1007/s11465-018-0464-3
Keywords: hydraulic servo system adaptive control robust control nonlinear friction disturbance compensation repetitivecontrol noise alleviation constraint control
HEMIPTERAN-TRANSMITTED PLANT VIRUSES: RESEARCH PROGRESS AND CONTROL STRATEGIES
Frontiers of Agricultural Science and Engineering 2022, Volume 9, Issue 1, Pages 98-109 doi: 10.15302/J-FASE-2021389
Keywords: control strategies / feeding / immunity / insect vector / microorganism / plant virus
Frontiers of Medicine 2023, Volume 17, Issue 1, Pages 85-92 doi: 10.1007/s11684-021-0917-7
Keywords: malaria transmission control elimination China atlas
Investigation on Network Control for Control and Manipulating System of the Vehicle and Construction
Li Yunhua,Yang Guilin
Strategic Study of CAE 2005, Volume 7, Issue 9, Pages 25-29
This paper surveys the development history and the relative key technology of the control and manipulatingand synthesis based on network control by field-bus control.bridge in the Shanghai suspension magnetic railway as example, the design method and control strategyof the network control system based on the configuration of the field bus control system and PC104 airborneindustrial control computer are discussed.
Keywords: construction machinery control manipulation network control
Title Author Date Type Operation
Development of a novel hand−eye calibration for intuitive control of minimally invasive surgical robot
Journal Article
An intuitive general rank-based correlation coefficient
Divya PANDOVE, Shivani GOEL, Rinkle RANI
Journal Article
A systematic review of current and emergent manipulator control approaches
Syed Ali AJWAD,Jamshed IQBAL,Muhammad Imran ULLAH,Adeel MEHMOOD
Journal Article
An integrated approach for machine-learning-based system identification of dynamical systems under control: application towards the model predictive control of a highly nonlinear reactor system
Journal Article
Dark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense
Yixin Zhu, Tao Gao, Lifeng Fan, Siyuan Huang, Mark Edmonds, Hangxin Liu, Feng Gao, Chi Zhang, Siyuan Qi, Ying Nian Wu, Joshua B. Tenenbaum, Song-Chun Zhu
Journal Article
Precision control system of two-DOF stage with linear ultrasonic motor
ZHANG Hanlei, SHI Yunlai, ZHAO Chunsheng
Journal Article
A hybrid LQR-PID control design for seismic control of buildings equipped with ATMD
Amir Hossein HEIDARI, Sadegh ETEDALI, Mohamad Reza JAVAHERI-TAFTI
Journal Article
Analysis and stabilization control of a voltage source controlled wind farm under weak grid conditions
Journal Article
Model-based nonlinear control of hydraulic servo systems: Challenges, developments and perspectives
Jianyong YAO
Journal Article
Achievements of the national malaria control and elimination program in the People’s Republic of China
Journal Article