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Actor–Critic Reinforcement Learning and Application in Developing Computer-Vision-Based Interface Tracking Article

Oguzhan Dogru, Kirubakaran Velswamy, Biao Huang

Engineering 2021, Volume 7, Issue 9,   Pages 1248-1261 doi: 10.1016/j.eng.2021.04.027

Abstract: tracking problem, this paper provides a detailed review of one of the most effective RL methodologies: actor–critic policy.

Keywords： Interface tracking     Object tracking     Occlusion     Reinforcement learning     Uniform manifold approximation and projection    

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Indirect adaptive fuzzy-regulated optimal control for unknown continuous-time nonlinear systems

Haiyun Zhang, Deyuan Meng, Jin Wang, Guodong Lu,gray_sun@zju.edu.cn,tinydreams@126.com,dwjcom@zju.edu.cn,lugd@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 2,   Pages 141-286 doi: 10.1631/FITEE.1900610

Abstract: scheme uses a special non-quadratic variable performance function as the reinforcement medium in the actor-criticAn adaptive structure is correspondingly constructed to configure the weighting matrix of the performanceA concurrent self-organizing learning technique is designed to adaptively update the critic weights.Based on this particular critic, an adaptive optimal feedback controller is developed as the actor with

Keywords： Indirect adaptive optimal control     Hamilton-Jacobi-Bellman equation     Fuzzy-regulated critic     Adaptiveoptimal control actor     Actor-critic structure     Unknown nonlinear systems    

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TRANSLATING THE MULTI-ACTOR APPROACH TO RESEARCH INTO PRACTICE USING A WORKSHOP APPROACH FOCUSING ON

Frontiers of Agricultural Science and Engineering 2021, Volume 8, Issue 3,   Pages 460-473 doi: 10.15302/J-FASE-2021416

Abstract: smaller multidisciplinary groups and given the opportunity to interact with representatives from eight actorThe four stages of the workshop were: (1) key actor interviews, (2) sharing proposed solutions for overcomingWorking with the actor networks was identified and emphasized as a means to overcome existing barriers

Keywords： agroecology     codesign     intercropping     knowledge sharing     participatory methods    

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Sustainable public-private partnerships: Balancing the multi-actor ecosystem and societal requirements

Pekka Leviäkangas, Yanbing YE, Oluwole Alfred OLATUNJI

Frontiers of Engineering Management 2018, Volume 5, Issue 3,   Pages 347-356 doi: 10.15302/J-FEM-2018020

Abstract:

The funding gap of public infrastructure networks (roads, railways, ports, electricity, and energy lines) can be solved partly by introducing private capital for investments, i.e., public-private partnerships (PPP). This paper introduces an integrated model of a PPP project and investigates its implications on PPP policies and strategies regarding appropriate project appraisal and selection. The model has different resolution levels, namely, project level, business ecosystem level, and market and societal levels. The integrated model suggests that investing in merely financially viable projects is insufficient to realize economically and socially sustainable and acceptable projects.

Keywords： public-private partnerships (PPP)     project appraisal and selection     integrated model     socially sustainable    

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Influence of pore structure on biologically activated carbon performance and biofilm microbial characteristics

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 6, doi: 10.1007/s11783-021-1419-1

Abstract:

• Pore structure affects biologically activated carbon performance.

Keywords： Granular activated carbon     Biologically activated carbon filter     Bacterial community structure     Porestructure    

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Hierarchical fractal structure of perfect single-layer graphene

T. Zhang, K. Ding

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 4,   Pages 371-382 doi: 10.1007/s11465-013-0279-1

Abstract:

The atomic lattice structure of perfect single-layer graphene that can actually be regarded as a kindof hierarchical fractal structure from the perspective of fractal geometry was studied for the firstThree novel and special discoveries on hierarchical fractal structure and sets were unveiled upon examinationThe interior fractal-type structure was discovered to be the fifth space-filling curve from physicalA fundamental example of a multi-fractal structure was also presented.

Keywords： hierarchical fractal structure     fractal dimension     the fifth space-filling curve     multi-fractal structure    

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Floating forest: A novel breakwater-windbreak structure against wind and wave hazards

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 5,   Pages 1111-1127 doi: 10.1007/s11709-021-0757-1

Abstract: A novel floating breakwater-windbreak structure (floating forest) has been designed for the protectionThe modular arch-shaped concrete structure is positioned perpendicularly to the direction of the prevailingThe structure below the water surface acts as a porous breakwater with wave scattering capability.

Keywords： floating structure     breakwater     windbreak     hydrodynamic     CFD    

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Bicontinuous porous membranes with micro-nano composite structure using a facile atomization-assisted

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 8,   Pages 1268-1280 doi: 10.1007/s11705-022-2143-5

Abstract: The micro-nano composite structure can endow separation membranes with special surface properties, butusing this method, a bicontinuous porous microfiltration membrane with robust micro-nano composite structureThe formation mechanism of the micro-nano composite structure was proposed.

Keywords： atomization     nonsolvent induced phase separation     bicontinuous porous structure     micro-nano compositestructure     oil-water separation    

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Smart optical-fiber structure monitoring based on granular computing

Guan LU, Dakai LIANG,

Frontiers of Mechanical Engineering 2009, Volume 4, Issue 4,   Pages 462-465 doi: 10.1007/s11465-009-0073-2

Abstract: self-diagnosing system in health monitoring has become an important direction of smart materials and structurethe requirement of damage detection by analyzing digital signals and character signals of the smart structurepaper investigates an optic fiber smart layer and presents a method for realizing optic fiber smart structureAfter the analysis, it is presumed that optic fiber smart structure monitoring based on granular computation

Keywords： smart material and structure     GrC     optical fiber sensor     rough set     clustering algorithm    

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Automated classification of civil structure defects based on convolutional neural network

Pierclaudio SAVINO, Francesco TONDOLO

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 305-317 doi: 10.1007/s11709-021-0725-9

Abstract: Today, the most commonly used civil infrastructure inspection method is based on a visual assessment conducted by certified inspectors following prescribed protocols. However, the increase in aggressive environmental and load conditions, coupled with the achievement of many structures of the life-cycle end, has highlighted the need to automate damage identification and satisfy the number of structures that need to be inspected. To overcome this challenge, this paper presents a method for automating concrete damage classification using a deep convolutional neural network. The convolutional neural network was designed after an experimental investigation of a wide number of pretrained networks, applying the transfer-learning technique. Training and validation were conducted using a database built with 1352 images balanced between “undamaged”, “cracked”, and “delaminated” concrete surfaces. To increase the network robustness compared to images in real-world situations, different image configurations have been collected from the Internet and on-field bridge inspections. The GoogLeNet model, with the highest validation accuracy of approximately 94%, was selected as the most suitable network for concrete damage classification. The results confirm that the proposed model can correctly classify images from real concrete surfaces of bridges, tunnels, and pavement, resulting in an effective alternative to the current visual inspection techniques.

Keywords： concrete structure     infrastructures     visual inspection     convolutional neural network     artificial intelligence    

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Catalyst particle shapes and pore structure engineering for hydrodesulfurization and hydrodenitrogenation

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 6,   Pages 897-908 doi: 10.1007/s11705-021-2127-x

Abstract: Catalyst particle shapes and pore structure engineering are crucial for alleviating internal diffusion

Keywords： hydrodesulfurization     hydrodenitrogenation     particle shape     pore structure    

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Vibration analysis of blade-disc coupled structure of compressor

WANG Chunjie, SONG Shunguang, ZONG Xiao

Frontiers in Energy 2008, Volume 2, Issue 3,   Pages 302-305 doi: 10.1007/s11708-008-0064-8

Abstract: While a 3D assembly model of blade-disc structure was established, a finite element model for calculatingThe vibration characteristics of the blade-disc coupling structure was calculated and analyzed usingThe modeling experiment shows that this method is feasible for analyzing the rabbet assembly structure

Keywords： blade-disc coupling     assembly     experiment     vibration     blade-disc structure    

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Construction of digital 3D magic-cube organization structure for innovation-driven manufacturing

Frontiers of Engineering Management   Pages 373-390 doi: 10.1007/s42524-022-0237-x

Abstract: This study proposes a three-dimensional (3D) magic-cube organizational structure, considering the product

Keywords： innovation     manufacturing     3D magic-cube organization structure     coordination    

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PID neural network control of a membrane structure inflation system

Qiushuang LIU, Xiaoli XU

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 4,   Pages 418-422 doi: 10.1007/s11465-010-0117-7

Abstract: The PID controller is used to control a nonlinear time-variant membrane structure inflation system.Results show that the neural network PID controller can adapt to the changes in system structure parameters

Keywords： PID     neural network     membrane structure    

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Modeling of specific structure crystallization coupling with dissolution

Yuanhui JI, Hongliang QIAN, Chang LIU, Xiaohua LU, Xin FENG, Xiaoyan JI,

Frontiers of Chemical Science and Engineering 2010, Volume 4, Issue 1,   Pages 52-56 doi: 10.1007/s11705-009-0301-7

Abstract: In this paper, the research framework for specific structure crystallization modeling has been proposedOur investigations show that the mechanisms of complex structure formation and microphase transitionformation mechanism of the porous KCl has been analyzed, which may provide a reference for the porous structure

Keywords： structure crystallization     activity coefficient     reference     KCl     dissolution    

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Title Author Date Type Operation

Actor–Critic Reinforcement Learning and Application in Developing Computer-Vision-Based Interface Tracking

Oguzhan Dogru, Kirubakaran Velswamy, Biao Huang

Journal Article

Indirect adaptive fuzzy-regulated optimal control for unknown continuous-time nonlinear systems

Haiyun Zhang, Deyuan Meng, Jin Wang, Guodong Lu,gray_sun@zju.edu.cn,tinydreams@126.com,dwjcom@zju.edu.cn,lugd@zju.edu.cn

Journal Article

TRANSLATING THE MULTI-ACTOR APPROACH TO RESEARCH INTO PRACTICE USING A WORKSHOP APPROACH FOCUSING ON

Journal Article

Sustainable public-private partnerships: Balancing the multi-actor ecosystem and societal requirements

Pekka Leviäkangas, Yanbing YE, Oluwole Alfred OLATUNJI

Journal Article

Influence of pore structure on biologically activated carbon performance and biofilm microbial characteristics

Journal Article

Hierarchical fractal structure of perfect single-layer graphene

T. Zhang, K. Ding

Journal Article

Floating forest: A novel breakwater-windbreak structure against wind and wave hazards

Journal Article

Bicontinuous porous membranes with micro-nano composite structure using a facile atomization-assisted

Journal Article

Smart optical-fiber structure monitoring based on granular computing

Guan LU, Dakai LIANG,

Journal Article

Automated classification of civil structure defects based on convolutional neural network

Pierclaudio SAVINO, Francesco TONDOLO

Journal Article

Catalyst particle shapes and pore structure engineering for hydrodesulfurization and hydrodenitrogenation

Journal Article

Vibration analysis of blade-disc coupled structure of compressor

WANG Chunjie, SONG Shunguang, ZONG Xiao

Journal Article

Construction of digital 3D magic-cube organization structure for innovation-driven manufacturing

Journal Article

PID neural network control of a membrane structure inflation system

Qiushuang LIU, Xiaoli XU

Journal Article

Modeling of specific structure crystallization coupling with dissolution

Yuanhui JI, Hongliang QIAN, Chang LIU, Xiaohua LU, Xin FENG, Xiaoyan JI,

Journal Article