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Intelligent unmanned systems: important achievements and applications of new generation artificial intelligence Editorial

Cheng Wu, Tao Zhang

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 5,   Pages 649-651 doi: 10.1631/FITEE.2030000

Abstract: Over the years, humans have created various types of unmanned systems.Unmanned systems are a variety of systems de-veloped to work without human inputs, but the highest levelof “unmanned” systems is man-machine integration.industrial robots, space robots, marine robots, and unmanned workshop/intelligent factories.unmanned systems.”
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Development and Key Technologies of Maritime Unmanned Systems

Qiu Zhiming, Meng Xiangyao, Ma Yan, Chen Yi, Feng Wei

Strategic Study of CAE 2023, Volume 25, Issue 3,   Pages 74-83 doi: 10.15302/J-SSCAE-2023.03.005

Abstract:

Maritime unmanned system are crucial for future intelligent and unmannedanalyzes the development status of maritime unmanned systems and corresponding technologies in ChinaThe challenges and trends for the development of maritime unmanned systems are summarized and keyMoreover, development pathways of maritime unmanned systems in key directions are explored and countermeasuresto promote the sustained, steady, and rapid development of maritime unmanned systems are recommended

Keywords： maritime unmanned systems     cluster intelligent     cross-domain collaboration     key technologies    

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Smart systems engineering contributing to an intelligent carbon-neutral future: opportunities, challenges

Frontiers of Chemical Science and Engineering 2022, Volume 16, Issue 6,   Pages 1023-1029 doi: 10.1007/s11705-022-2142-6

Abstract: This communication paper provides an overview of multi-scale smart systems engineering (SSE) approachesand their applications in crucial domains including materials discovery, intelligent manufacturing,major focus of this interdisciplinary field is on the design, operation and management of multi-scale systems

Keywords： machine learning     modeling     material     industrial applications     environment    

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Intelligent Mining Technology for an Underground Metal Mine Based on Unmanned Equipment Review

Jian-guo Li, Kai Zhan

Engineering 2018, Volume 4, Issue 3,   Pages 381-391 doi: 10.1016/j.eng.2018.05.013

Abstract: mining, including intelligent and unmanned control technologies for rock-drilling jumbos, down-the-holeThree basic platforms are used for intelligent and unmanned mining: the positioning and navigation platformplatforms of intelligent and unmanned mining were carried out in the mine.The experiment focused on the intelligent scraper, which can achieve autonomous intelligent driving byThe results show that unmanned mining can promote mining technology in China to an intelligent level

Keywords： Underground     Autonomous     Communication     Navigation     Intelligent    

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Progress and Consideration of High Precision Road Navigation Map

Liu Jingnan,Wu Hangbin,Guo Chi,Zhang Hongmin,Zuo Wenwei,Yang Cheng

Strategic Study of CAE 2018, Volume 20, Issue 2,   Pages 99-105 doi: 10.15302/J-SSCAE-2018.02.015

Abstract: development of the Internet, an increasing number of new industries such as "Internet Plus" intelligenttransportation and unmanned systems based on location-based services have been gradually developed.

Keywords： high precision road navigation map     “Internet Plus” intelligent transportation     unmanned systems     crowdsourcing    

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Current trends in the development of intelligent unmanned autonomous systems Review

Tao ZHANG,Qing LI,Chang-shui ZHANG,Hua-wei LIANG,Ping LI,Tian-miao WANG,Shuo LI,Yun-long ZHU,Cheng WU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 1,   Pages 68-85 doi: 10.1631/FITEE.1601650

Abstract: Intelligent unmanned autonomous systems are some of the most important applications of artificial intelligenceThe development of such systems can significantly promote innovation in AI technologies.This paper introduces the trends in the development of intelligent unmanned autonomous systems by summarizingvehicles, unmanned aerial vehicles, service robots, space robots, marine robots, and unmanned workshops/intelligent plants.

Keywords： Intelligent unmanned autonomous system     Autonomous vehicle     Artificial intelligence     Robotics     Development    

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Intelligent Layout Optimization Systems of Truss Structure

Li Hao,Hu Yunchang,Cao Hongfeng

Strategic Study of CAE 2003, Volume 5, Issue 2,   Pages 75-79

Abstract:

Intelligent layout optimization system of truss structures, based on fuzzy, neural network, and chaosThis system takes on intelligent and adaptive.

Keywords： layout optimization     intelligent     optimization systems     adaptive    

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Power system reconfiguration and loss minimization for a distribution systems using “Catfish PSO” algorithm

K Sathish KUMAR,S NAVEEN

Frontiers in Energy 2014, Volume 8, Issue 4,   Pages 434-442 doi: 10.1007/s11708-014-0313-y

Abstract: One of the very important ways to save electrical energy in the distribution system is network reconfiguration for loss reduction. Distribution networks are built as interconnected mesh networks; however, they are arranged to be radial in operation. The distribution feeder reconfiguration is to find a radial operating structure that optimizes network performance while satisfying operating constraints. The change in network configuration is performed by opening sectionalizing (normally closed) and closing tie (normally opened) switches of the network. These switches are changed in such a way that the radial structure of networks is maintained, all of the loads are energized, power loss is reduced, power quality is enhanced, and system security is increased. Distribution feeder reconfiguration is a complex nonlinear combinatorial problem since the status of the switches is non-differentiable. This paper proposes a new evolutionary algorithm (EA) for solving the distribution feeder reconfiguration (DFR) problem for a 33-bus and a 16-bus sample network, which effectively ensures the loss minimization.

Keywords： distribution system reconfiguration (DFR)     power loss reduction     catfish particle swarm optimization (catfish    

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Reconfigurable manufacturing systems: Principles, design, and future trends

Yoram KOREN, Xi GU, Weihong GUO

Frontiers of Mechanical Engineering 2018, Volume 13, Issue 2,   Pages 121-136 doi: 10.1007/s11465-018-0483-0

Abstract:

Reconfigurable manufacturing systems (RMSs), which possess the advantages of both dedicated seriallines and flexible manufacturing systems, were introduced in the mid-1990s to address the challengesThe principal goal of an RMS is to enhance the responsiveness of manufacturing systems to unforeseenFinally, we propose future research directions, and deliberate on how recent intelligent manufacturing

Keywords： reconfigurable manufacturing systems     responsiveness     intelligent manufacturing    

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Particle swarm optimization model to predict scour depth around a bridge pier

Shahaboddin SHAMSHIRBAND, Amir MOSAVI, Timon RABCZUK

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 4,   Pages 855-866 doi: 10.1007/s11709-020-0619-2

Abstract: Therefore, this paper aims to develop new equations using particle swarm optimization as a metaheuristic

Keywords： scour depth     bridge design and construction     particle swarm optimization     computational mechanics     artificial    

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Toward autonomous mining: design and development of an unmanned electric shovel via point cloud-based

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0686-2

Abstract: With the proposal of intelligent mines, unmanned mining has become a research hotspot in recent yearsIn this study, an unmanned electric shovel (UES) is developed, and key robotization processes consisting

Keywords： autonomous excavation     unmanned electric shovel     point cloud     excavation trajectory planning    

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A survey of the pursuit–evasion problem in swarm intelligence Review

Zhenxin MU, Jie PAN, Ziye ZHOU, Junzhi YU, Lu CAO,junzhi.yu@ia.ac.cn,yujunzhi@pku.edu.cn,caolu_space2015@163.com

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 8,   Pages 1093-1116 doi: 10.1631/FITEE.2200590

Abstract: Then we provide an overview of the research on ; problems in biological systems and .This survey provides new insights into the design of multi-agent and multi-robot systems to complete

Keywords： Swarm behavior     Pursuit–     evasion     Artificial systems     Biological model     Collective motion    

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A Brief Review of Rock-Filled Concrete Dams and Prospects for Next-Generation Concrete Dam Construction Technology Review

Feng Jin, Duruo Huang, Michel Lino, Hu Zhou

Engineering 2024, Volume 32, Issue 1,   Pages 100-106 doi: 10.1016/j.eng.2023.09.020

Abstract:

Over the past few decades, one of the most significant advances in dam construction has been the invention of the rock-filled concrete (RFC) dam, which is constructed by pouring high-performance selfcompacting concrete (HSCC) to fill the voids in preplaced large rocks.   The innovative use of large rocks in dam construction provides engineers with a material that requires less cement consumption and hydration heat while enhancing construction efficiency and environmental friendliness.   However, two fundamental scientific issues related to RFC need to be addressed: namely, the pouring compactness and the effect of large rocks on the mechanical and physical properties of RFC.   This article provides a timely review of fundamental research and innovations in the design, construction, and quality control of RFC dams.   Prospects for next-generation concrete dams are discussed from the perspectives of environmental
friendliness, intrinsic safety, and labor savings.

Keywords： Rock-filled concrete dam     Pouring compactness     Effect of large rocks     Intelligent quality control     Unmanned    

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Crack detection of the cantilever beam using new triple hybrid algorithms based on Particle Swarm Optimization

Amin GHANNADIASL; Saeedeh GHAEMIFARD

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 9,   Pages 1127-1140 doi: 10.1007/s11709-022-0838-9

Abstract: the inverse analysis of the crack detection problems using triple hybrid algorithms based on Particle SwarmOptimization (PSO); these hybrids are Particle Swarm Optimization-Genetic Algorithm-Firefly Algorithm(PSO-GA-FA), Particle Swarm Optimization-Grey Wolf Optimization-Firefly Algorithm (PSO-GWO-FA), andParticle Swarm Optimization-Genetic Algorithm-Grey Wolf Optimization (PSO-GA-GWO).

Keywords： crack     cantilever beam     triple hybrid algorithms     Particle Swarm Optimization    

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Dynamic Target Tracking of Unmanned Aerial Vehicles Under Unpredictable Disturbances

Yanjie Chen,Yangning Wu,Limin Lan,Hang Zhong,Zhiqiang Miao,Hui Zhang,Yaonan Wang,

Engineering doi: 10.1016/j.eng.2023.05.017

Abstract: This study proposes an image-based visual servoing (IBVS) method based on a velocity observer for an unmanned

Keywords： Unmanned aerial vehicle     Visual servoing     Velocity observer     Target tracking    

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Title Author Date Type Operation

Intelligent unmanned systems: important achievements and applications of new generation artificial intelligence

Cheng Wu, Tao Zhang

Journal Article

Development and Key Technologies of Maritime Unmanned Systems

Qiu Zhiming, Meng Xiangyao, Ma Yan, Chen Yi, Feng Wei

Journal Article

Smart systems engineering contributing to an intelligent carbon-neutral future: opportunities, challenges

Journal Article

Intelligent Mining Technology for an Underground Metal Mine Based on Unmanned Equipment

Jian-guo Li, Kai Zhan

Journal Article

Progress and Consideration of High Precision Road Navigation Map

Liu Jingnan,Wu Hangbin,Guo Chi,Zhang Hongmin,Zuo Wenwei,Yang Cheng

Journal Article

Current trends in the development of intelligent unmanned autonomous systems

Tao ZHANG,Qing LI,Chang-shui ZHANG,Hua-wei LIANG,Ping LI,Tian-miao WANG,Shuo LI,Yun-long ZHU,Cheng WU

Journal Article

Intelligent Layout Optimization Systems of Truss Structure

Li Hao,Hu Yunchang,Cao Hongfeng

Journal Article

Power system reconfiguration and loss minimization for a distribution systems using “Catfish PSO” algorithm

K Sathish KUMAR,S NAVEEN

Journal Article

Reconfigurable manufacturing systems: Principles, design, and future trends

Yoram KOREN, Xi GU, Weihong GUO

Journal Article

Particle swarm optimization model to predict scour depth around a bridge pier

Shahaboddin SHAMSHIRBAND, Amir MOSAVI, Timon RABCZUK

Journal Article

Toward autonomous mining: design and development of an unmanned electric shovel via point cloud-based

Journal Article

A survey of the pursuit–evasion problem in swarm intelligence

Zhenxin MU, Jie PAN, Ziye ZHOU, Junzhi YU, Lu CAO,junzhi.yu@ia.ac.cn,yujunzhi@pku.edu.cn,caolu_space2015@163.com

Journal Article

A Brief Review of Rock-Filled Concrete Dams and Prospects for Next-Generation Concrete Dam Construction Technology

Feng Jin, Duruo Huang, Michel Lino, Hu Zhou

Journal Article

Crack detection of the cantilever beam using new triple hybrid algorithms based on Particle Swarm Optimization

Amin GHANNADIASL; Saeedeh GHAEMIFARD

Journal Article

Dynamic Target Tracking of Unmanned Aerial Vehicles Under Unpredictable Disturbances

Yanjie Chen,Yangning Wu,Limin Lan,Hang Zhong,Zhiqiang Miao,Hui Zhang,Yaonan Wang,

Journal Article