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Ontology Alignment using Biologically-inspired Optimisation Algorithms

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ISBN: 9783866449367 Year: Pages: XIV, 220 p. DOI: 10.5445/KSP/1000030761 Language: ENGLISH
Publisher: KIT Scientific Publishing
Subject: Business and Management
Added to DOAB on : 2019-07-30 20:02:02
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It is investigated how biologically-inspired optimisation methods can be used to compute alignments between ontologies. Independent of particular similarity metrics, the developed techniques demonstrate anytime behaviour and high scalability. Due to the inherent parallelisability of these population-based algorithms it is possible to exploit dynamically scalable cloud infrastructures - a step towards the provisioning of Alignment-as-a-Service solutions for future semantic applications.

Wind Turbine Power Optimization Technology

Authors: ---
ISBN: 9783039289332 / 9783039289349 Year: Pages: 138 DOI: 10.3390/books978-3-03928-934-9 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2020-06-09 16:38:57
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Wind turbines are one of the most promising renewable energy technologies, and this motivates fertile research activity about developments in power optimization. This topic covers a wide range of aspects, from the research on aerodynamics and control design to the industrial applications about on-site wind turbine performance control and monitoring. This Special Issue collects seven research papers about several innovative aspects of the multi-faceted topic of wind turbine power optimization technology. The seven research papers deal respectively with the aerodynamic optimization of wind turbine blades through Gurney flaps; optimization of blade design for large offshore wind turbines; control design optimization of large wind turbines through the analysis of the competing objectives of energy yield maximization and fatigue loads minimization; design optimization of a tension leg platform for floating wind turbines; innovative methods for the assessment of wind turbine optimization technologies operating on site; optimization of multiple wake interactions modeling through the introduction of a mixing coefficient in the energy balance method; and optimization of the dynamic stall control of vertical-axis wind turbines through plasma actuators. This Special Issue presents remarkable research activities in the timely subject of wind turbine power optimization technology, covering various aspects. The collection is believed to be beneficial to readers and contribute to the wind power industry.

Advanced Approaches Applied to Materials Development and Design Predictions

Authors: --- --- --- --- et al.
ISBN: 9783039284122 9783039284139 Year: Pages: 164 DOI: 10.3390/books978-3-03928-413-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: General and Civil Engineering --- Technology (General)
Added to DOAB on : 2020-04-07 23:07:09
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This thematic issue on advanced simulation tools applied to materials development and design predictions gathers selected extended papers related to power generation systems, presented at the XIX International Colloquium on Mechanical Fatigue of Metals (ICMFM XIX), organized at University of Porto, Portugal, in 2018. In this issue, the limits of the current generation of materials are explored, which are continuously being reached according to the frontier of hostile environments, whether in the aerospace, nuclear, or petrochemistry industry, or in the design of gas turbines where efficiency of energy production and transformation demands increased temperatures and pressures. Thus, advanced methods and applications for theoretical, numerical, and experimental contributions that address these issues on failure mechanism modeling and simulation of materials are covered. As the Guest Editors, we would like to thank all the authors who submitted papers to this Special Issue. All the papers published were peer-reviewed by experts in the field whose comments helped to improve the quality of the edition. We also would like to thank the Editorial Board of Materials for their assistance in managing this Special Issue.

Smart Sensors for Structural Health Monitoring

Authors: --- ---
ISBN: 9783039217588 9783039217595 Year: Pages: 342 DOI: 10.3390/books978-3-03921-759-5 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-12-09 11:49:16
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Smart sensors are technologies designed to facilitate the monitoring operations. For instance, power consumption can be minimized through on-board processing and smart interrogation algorithms, and state detection enhanced through collaboration between sensor nodes. Applied to structural health monitoring, smart sensors are key enablers of sparse and dense sensor networks capable of monitoring full-scale structures and components. They are also critical in empowering operators with decision making capabilities. The objective of this Special Issue is to generate discussions on the latest advances in research on smart sensing technologies for structural health monitoring applications, with a focus on decision-enabling systems. This Special Issue covers a wide range of related topics such as innovative sensors and sensing technologies for crack, displacement, and sudden event monitoring, sensor optimization, and novel sensor data processing algorithms for damage and defect detection, operational modal analysis, and system identification of a wide variety of structures (bridges, transmission line towers, high-speed trains, masonry light houses, etc.).

Keywords

optical crack growth sensor --- digital sampling moiré --- 2D crack growth --- calibration --- concrete crack --- feature extraction --- mapping construction --- fuzzy classification --- rotary ultrasonic array --- bending stiffness --- damage identification --- environmental noise --- bridge --- test vehicle --- structural impact monitoring --- sensors distribution optimization --- NSGA-II --- energy analysis of wavelet band --- principal component analysis --- transmission tower --- settlement --- wind force --- acceleration --- modal frequencies --- sudden event monitoring --- wireless smart sensors --- demand-based nodes --- event-triggered sensing --- data fusion --- patch antenna --- sensor --- structural health monitoring --- crack identification --- resonant frequency --- damage identification --- sensor optimization --- Virtual Distortion Method (VDM) --- Particle Swarm Optimization (PSO) algorithm --- sensitivity --- structural health monitoring --- piezoelectric wafer active sensors --- active sensing --- passive sensing --- damage detection --- acoustic emission --- uniaxial stress measurement --- structural steel members --- amplitude spectrum --- phase spectrum --- shear-wave birefringence --- acoustoelastic effect --- damage detection --- smartphones --- steel frame --- shaking table tests --- wavelet packet decomposition --- low-velocity impacts --- strain wave --- impactor stiffness --- data processing --- feature selection --- impact identification --- crack --- strain --- distributed dense sensor network --- structural health monitoring --- fibre bundle --- reflective optical sensor --- tip clearance --- turbine --- aero engine --- principal component analysis --- space window --- time window --- damage detection --- length effect --- stress detection --- electromagnetic oscillation --- steel strand --- concrete structures --- SHM --- stretching method --- model updating --- displacement sensor --- helical antenna --- resonant frequency --- perturbation theory --- normal mode --- wheel minor defect --- high-speed train --- online wayside detection --- Bayesian blind source separation --- FBG sensor array

Intelligent Optimization Modelling in Energy Forecasting

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ISBN: 9783039283644 9783039283651 Year: Pages: 262 DOI: 10.3390/books978-3-03928-365-1 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Computer Science
Added to DOAB on : 2020-04-07 23:07:09
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Accurate energy forecasting is important to facilitate the decision-making process in order to achieve higher efficiency and reliability in power system operation and security, economic energy use, contingency scheduling, the planning and maintenance of energy supply systems, and so on. In recent decades, many energy forecasting models have been continuously proposed to improve forecasting accuracy, including traditional statistical models (e.g., ARIMA, SARIMA, ARMAX, multi-variate regression, exponential smoothing models, Kalman filtering, Bayesian estimation models, etc.) and artificial intelligence models (e.g., artificial neural networks (ANNs), knowledge-based expert systems, evolutionary computation models, support vector regression, etc.). Recently, due to the great development of optimization modeling methods (e.g., quadratic programming method, differential empirical mode method, evolutionary algorithms, meta-heuristic algorithms, etc.) and intelligent computing mechanisms (e.g., quantum computing, chaotic mapping, cloud mapping, seasonal mechanism, etc.), many novel hybrid models or models combined with the above-mentioned intelligent-optimization-based models have also been proposed to achieve satisfactory forecasting accuracy levels. It is important to explore the tendency and development of intelligent-optimization-based modeling methodologies and to enrich their practical performances, particularly for marine renewable energy forecasting.

Keywords

short-term load forecasting --- weighted k-nearest neighbor (W-K-NN) algorithm --- comparative analysis --- empirical mode decomposition (EMD) --- particle swarm optimization (PSO) algorithm --- intrinsic mode function (IMF) --- support vector regression (SVR) --- short term load forecasting --- crude oil price forecasting --- time series forecasting --- hybrid model --- complementary ensemble empirical mode decomposition (CEEMD) --- sparse Bayesian learning (SBL) --- multi-step wind speed prediction --- Ensemble Empirical Mode Decomposition --- Long Short Term Memory --- General Regression Neural Network --- Brain Storm Optimization --- substation project cost forecasting model --- feature selection --- data inconsistency rate --- modified fruit fly optimization algorithm --- deep convolutional neural network --- multi-objective grey wolf optimizer --- long short-term memory --- fuzzy time series --- LEM2 --- combination forecasting --- wind speed --- electrical power load --- crude oil prices --- time series forecasting --- improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) --- kernel learning --- kernel ridge regression --- differential evolution (DE) --- artificial intelligence techniques --- energy forecasting --- condition-based maintenance --- asset management --- renewable energy consumption --- Gaussian processes regression --- state transition algorithm --- five-year project --- forecasting --- Markov-switching --- Markov-switching GARCH --- energy futures --- commodities --- portfolio management --- active investment --- diversification --- institutional investors --- energy price hedging --- metamodel --- ensemble --- individual --- regression --- interpolation

Multi-Objective and Multi-Attribute Optimisation for Sustainable Development Decision Aiding

Authors: --- ---
ISBN: 9783039211425 9783039211432 Year: Pages: 394 DOI: 10.3390/books978-3-03921-143-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Computer Science
Added to DOAB on : 2019-12-09 11:49:15
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Optimization is considered as a decision-making process for getting the most out of available resources for the best attainable results. Many real-world problems are multi-objective or multi-attribute problems that naturally involve several competing objectives that need to be optimized simultaneously, while respecting some constraints or involving selection among feasible discrete alternatives. In this Reprint of the Special Issue, 19 research papers co-authored by 88 researchers from 14 different countries explore aspects of multi-objective or multi-attribute modeling and optimization in crisp or uncertain environments by suggesting multiple-attribute decision-making (MADM) and multi-objective decision-making (MODM) approaches. The papers elaborate upon the approaches of state-of-the-art case studies in selected areas of applications related to sustainable development decision aiding in engineering and management, including construction, transportation, infrastructure development, production, and organization management.

Keywords

port scheduling --- berth-quay crane joint scheduling --- optimization study --- hybrid mathematical model --- multi-objective decision-making (MODM) --- sustainability --- vibration suppression --- single-cylinder engine --- multi-objective evolutionary algorithms --- dynamic analysis --- crank–slider --- ecological building --- clay blocks --- compacted clay --- straw bales --- cost calculation --- group decision making --- hesitant fuzzy set --- hospital evaluation --- linguistic hesitant fuzzy set and Standard variance --- bi-objective optimization --- heuristics --- discrete time/cost trade-off --- project scheduling --- Rough Hamy aggregator --- sustainable traffic --- Rough BWM --- Rough WASPAS --- construction --- roundabout --- optimization --- genetic algorithm --- artificial neural network --- apple --- drying --- rehydration --- renewable energy --- technology selection problem --- sustainable energy evaluation --- sustainable energy developments --- sustainable developments --- hierarchical SWARA --- MULTIMOORA --- multiple criteria decision making (MCDM) --- Multiple Attribute Decision Making (MADM) --- ranking --- healthcare facility --- location-allocation problem --- multiple objective optimization --- bi-level programming --- particle swarm optimization (PSO) --- cleaner production (CP) --- extended Tomada de Decisão Interativa Multicritério (TODIM) --- probabilistic linguistic term sets (PLTSs) --- hybrid multi-criteria decision making (MCDM) --- gold mines --- conceptual framework --- organizations --- sustainability --- sustainability hierarchy --- Total Interpretive Structural Modeling (TISM) --- sustainable transport --- public transport --- emission of pollutants --- travel times --- bus pass --- MCDM --- critical information infrastructures --- fuzzy --- AHP --- WSM --- WASPAS --- MCDM --- hybrid --- management --- grey --- SWARA --- TOPSIS-GM --- ARAS-G --- Geomean --- energy efficiency --- comfort of use of buildings --- historic buildings --- sustainable development --- surface transport --- innovation in transport --- policy measures --- sustainable transport policy --- multiple criteria decision aid --- hybrid expert system --- bat algorithm --- particle swarm optimization algorithm --- multi-purpose system --- water resource management --- project --- construction --- contractor --- multiple-criteria decision-making --- AHP --- sustainable solution --- choice --- expert --- building investment project --- risk --- assessment --- verbal analysis --- multiple-attribute decision-making (MADM) --- multi-objective decision-making (MODM) --- optimization --- engineering --- management --- sustainable development

Additive Manufacturing: Alloy Design and Process Innovations

Authors: ---
ISBN: 9783039283521 / 9783039283538 Year: Pages: 372 DOI: 10.3390/books978-3-03928-353-8 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2020-06-09 16:38:57
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Additive manufacturing (AM) is one of the manufacturing processes that warrants the attention of industrialists, researchers and scientists, because of its ability to produce materials with a complex shape without theoretical restrictions and with added functionalities. There are several advantages to employing additive manufacturing as the primary additive manufacturing process. However, there exist several challenges that need to be addressed systematically. A couple such issues are alloy design and process development. Traditionally alloys designed for conventional cast/powder metallurgical processes were fabricated using advanced AM processes. This is the wrong approach considering that the alloys should be coined based on the process characteristics and meta-stable nature of the process. Hence, we must focus on alloy design and development for AM that suits the AM processes. The AM processes, however, improve almost every day, either in terms of processing capabilities or processing conditions. Hence, the processing part warrants a section that is devoted to these advancements and innovations. Accordingly, the present Special Issue (book) focuses on two aspects of alloy development and process innovations. Here, 45 articles are presented covering different AM processes including selective laser melting, electron beam melting, laser cladding, direct metal laser sintering, ultrasonic consolidation, wire arc additive manufacturing, and hybrid manufacturing. I believe that this Special Issue bears is vital to the field of AM and will be a valuable addition.

Keywords

concrete --- slag --- valorization --- cement --- circular economy --- wire feeding additive manufacturing --- wire lateral feeding --- macro defects --- side spatters --- selective laser melting --- numerical analysis --- thermal behaviour --- AlSi10Mg alloy --- design --- disc brake --- 3D metal printing --- direct metal laser sintering --- thermal stress analysis --- radial grooves --- nickel alloys --- Hastelloy X alloy --- additive manufacturing --- microstructure --- scanning electron microscopy (SEM) --- laser powder bed fusion (LPBF) --- selective laser melting --- titanium alloy --- heat treatment --- microstructure --- microhardness measurement --- arc additive manufacturing --- Al–5Si alloy --- pulse frequency --- arc current --- microstructure --- porosity --- 2219 aluminum alloy --- constitutive model --- microstructural evolution --- continuous dynamic recrystallization --- hot deformation --- selective laser melting --- amorphous alloy --- finite element analysis --- residual stress --- 2219 aluminum alloy --- intermediate thermo-mechanical treatment --- storage energy --- CuAl2 phase --- grain refinement --- selective laser melting --- GH4169 --- temperature and stress fields --- simulation --- model --- selective laser melting --- divisional scanning --- residual stress --- deformation --- thermal conductivity --- tensile strength --- inoculation --- gray cast iron --- additive manufacturing --- selective laser melting --- AlSi10Mg --- Al6061 --- SLM process parameters --- performance characteristics --- AlSi10Mg --- multi-laser manufacturing --- selective laser melting --- microstructure --- mechanical property --- additive manufacturing --- metal powders --- powder flowability --- powder properties --- aluminum --- water absorption --- laser cladding deposition --- 12CrNi2 alloy steel powder --- substrate preheating --- microstructure and properties --- residual stress --- ultrafast laser --- femtosecond --- ablation --- scanning --- additive surface structuring --- hydrophobicity --- parts design --- additive manufacturing --- fused filament fabrication --- fatigue --- Taguchi --- ABS --- additive manufacturing --- selective laser melting --- AlSi10Mg --- Al6061 --- SLM process parameters --- quality of the as-built parts --- aluminum alloys --- selective laser melting (SLM) --- mechanical properties --- selective laser melting --- H13 tool steel --- process parameters --- scanning strategy --- support strategy --- porosity reduction --- selective laser melting --- Ti6Al4V alloy --- martensitic transformation --- texture evolution --- mechanical properties --- M300 mold steel --- elastic abrasive --- PSO-BP neural network algorithm --- parameter optimization --- WxNbMoTa --- refractory high-entropy alloy --- laser cladding deposition --- rapid solidification --- bulk metallic glasses --- selective laser melting --- Cu50Zr43Al7 --- mechanical properties --- Ti-6Al-4V --- wear --- additive manufacturing --- properties --- in-process temperature in MPBAM --- analytical modeling --- high computational efficiency --- molten pool evolution --- laser power absorption --- latent heat --- scanning strategy --- powder packing --- graphene nano-sheets (GNSs) --- epoxy solder --- intermetallic compound (IMC) --- laser powder bed fusion --- additive manufacturing --- aluminum --- composition --- mechanical properties --- localized inductive heating --- hot stamping steel blanks --- tailored properties --- magnetizer --- selective laser melting --- AlSi10Mg alloy --- dynamic properties --- impact --- crystallographic texture --- Additive manufacturing --- selective laser melting --- volumetric heat source --- thermal capillary effects --- melt pool size --- selective laser melting --- Inconel 718 --- crystallographic texture --- subgranular dendrites --- epitaxial growth --- 3D printing --- continuous carbon fiber --- thermosetting epoxy resin --- mechanical properties --- Powder bed --- fatigue --- Hot Isostatic Pressure --- Electron Beam Melting --- stability lobe diagram --- milling --- process-damping --- dynamic characteristics --- thin-walled weak rigidity parts --- Al–Si --- selective laser melting (SLM) --- microstructure --- mechanical properties --- selective laser melting --- microstructure --- defects --- Inconel 718 --- laser energy density --- selective laser melting --- molten pool dynamic behavior --- equivalent processing model --- workpiece scale --- nickel-based superalloy --- numerical simulation --- metallic glasses --- composite materials --- interfaces --- additive manufacturing --- ultrasonic bonding --- 3D printing --- Al–Mg–Si alloy --- quenching rate --- microstructures --- mechanical properties --- paint bake-hardening --- precipitates --- additive manufacturing --- powder bed fusion --- selective laser melting --- regular mixing --- ball milling --- flowability --- Ti-6Al-4V --- microstructure --- element segregation --- laves phase --- vanadium --- laser cladding --- arc additive manufacture --- Al–Mg alloy --- Mg content --- microstructure --- mechanical properties --- n/a

Additive Manufacturing: Alloy Design and Process Innovations

Authors: ---
ISBN: 9783039284146 / 9783039284153 Year: Pages: 352 DOI: 10.3390/books978-3-03928-415-3 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2020-06-09 16:38:57
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Abstract

Additive manufacturing (AM) is one of the manufacturing processes that warrants the attention of industrialists, researchers and scientists, because of its ability to produce materials with a complex shape without theoretical restrictions and with added functionalities. There are several advantages to employing additive manufacturing as the primary additive manufacturing process. However, there exist several challenges that need to be addressed systematically. A couple such issues are alloy design and process development. Traditionally alloys designed for conventional cast/powder metallurgical processes were fabricated using advanced AM processes. This is the wrong approach considering that the alloys should be coined based on the process characteristics and meta-stable nature of the process. Hence, we must focus on alloy design and development for AM that suits the AM processes. The AM processes, however, improve almost every day, either in terms of processing capabilities or processing conditions. Hence, the processing part warrants a section that is devoted to these advancements and innovations. Accordingly, the present Special Issue (book) focuses on two aspects of alloy development and process innovations. Here, 45 articles are presented covering different AM processes including selective laser melting, electron beam melting, laser cladding, direct metal laser sintering, ultrasonic consolidation, wire arc additive manufacturing, and hybrid manufacturing. I believe that this Special Issue bears is vital to the field of AM and will be a valuable addition.

Keywords

concrete --- slag --- valorization --- cement --- circular economy --- wire feeding additive manufacturing --- wire lateral feeding --- macro defects --- side spatters --- selective laser melting --- numerical analysis --- thermal behaviour --- AlSi10Mg alloy --- design --- disc brake --- 3D metal printing --- direct metal laser sintering --- thermal stress analysis --- radial grooves --- nickel alloys --- Hastelloy X alloy --- additive manufacturing --- microstructure --- scanning electron microscopy (SEM) --- laser powder bed fusion (LPBF) --- selective laser melting --- titanium alloy --- heat treatment --- microstructure --- microhardness measurement --- arc additive manufacturing --- Al–5Si alloy --- pulse frequency --- arc current --- microstructure --- porosity --- 2219 aluminum alloy --- constitutive model --- microstructural evolution --- continuous dynamic recrystallization --- hot deformation --- selective laser melting --- amorphous alloy --- finite element analysis --- residual stress --- 2219 aluminum alloy --- intermediate thermo-mechanical treatment --- storage energy --- CuAl2 phase --- grain refinement --- selective laser melting --- GH4169 --- temperature and stress fields --- simulation --- model --- selective laser melting --- divisional scanning --- residual stress --- deformation --- thermal conductivity --- tensile strength --- inoculation --- gray cast iron --- additive manufacturing --- selective laser melting --- AlSi10Mg --- Al6061 --- SLM process parameters --- performance characteristics --- AlSi10Mg --- multi-laser manufacturing --- selective laser melting --- microstructure --- mechanical property --- additive manufacturing --- metal powders --- powder flowability --- powder properties --- aluminum --- water absorption --- laser cladding deposition --- 12CrNi2 alloy steel powder --- substrate preheating --- microstructure and properties --- residual stress --- ultrafast laser --- femtosecond --- ablation --- scanning --- additive surface structuring --- hydrophobicity --- parts design --- additive manufacturing --- fused filament fabrication --- fatigue --- Taguchi --- ABS --- additive manufacturing --- selective laser melting --- AlSi10Mg --- Al6061 --- SLM process parameters --- quality of the as-built parts --- aluminum alloys --- selective laser melting (SLM) --- mechanical properties --- selective laser melting --- H13 tool steel --- process parameters --- scanning strategy --- support strategy --- porosity reduction --- selective laser melting --- Ti6Al4V alloy --- martensitic transformation --- texture evolution --- mechanical properties --- M300 mold steel --- elastic abrasive --- PSO-BP neural network algorithm --- parameter optimization --- WxNbMoTa --- refractory high-entropy alloy --- laser cladding deposition --- rapid solidification --- bulk metallic glasses --- selective laser melting --- Cu50Zr43Al7 --- mechanical properties --- Ti-6Al-4V --- wear --- additive manufacturing --- properties --- in-process temperature in MPBAM --- analytical modeling --- high computational efficiency --- molten pool evolution --- laser power absorption --- latent heat --- scanning strategy --- powder packing --- graphene nano-sheets (GNSs) --- epoxy solder --- intermetallic compound (IMC) --- laser powder bed fusion --- additive manufacturing --- aluminum --- composition --- mechanical properties --- localized inductive heating --- hot stamping steel blanks --- tailored properties --- magnetizer --- selective laser melting --- AlSi10Mg alloy --- dynamic properties --- impact --- crystallographic texture --- Additive manufacturing --- selective laser melting --- volumetric heat source --- thermal capillary effects --- melt pool size --- selective laser melting --- Inconel 718 --- crystallographic texture --- subgranular dendrites --- epitaxial growth --- 3D printing --- continuous carbon fiber --- thermosetting epoxy resin --- mechanical properties --- Powder bed --- fatigue --- Hot Isostatic Pressure --- Electron Beam Melting --- stability lobe diagram --- milling --- process-damping --- dynamic characteristics --- thin-walled weak rigidity parts --- Al–Si --- selective laser melting (SLM) --- microstructure --- mechanical properties --- selective laser melting --- microstructure --- defects --- Inconel 718 --- laser energy density --- selective laser melting --- molten pool dynamic behavior --- equivalent processing model --- workpiece scale --- nickel-based superalloy --- numerical simulation --- metallic glasses --- composite materials --- interfaces --- additive manufacturing --- ultrasonic bonding --- 3D printing --- Al–Mg–Si alloy --- quenching rate --- microstructures --- mechanical properties --- paint bake-hardening --- precipitates --- additive manufacturing --- powder bed fusion --- selective laser melting --- regular mixing --- ball milling --- flowability --- Ti-6Al-4V --- microstructure --- element segregation --- laves phase --- vanadium --- laser cladding --- arc additive manufacture --- Al–Mg alloy --- Mg content --- microstructure --- mechanical properties --- n/a

Advanced Mobile Robotics: Volume 1

Author:
ISBN: 9783039219162 9783039219179 Year: Pages: 468 DOI: 10.3390/books978-3-03921-917-9 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: General and Civil Engineering --- Technology (General)
Added to DOAB on : 2020-04-07 23:07:09
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Mobile robotics is a challenging field with great potential. It covers disciplines including electrical engineering, mechanical engineering, computer science, cognitive science, and social science. It is essential to the design of automated robots, in combination with artificial intelligence, vision, and sensor technologies. Mobile robots are widely used for surveillance, guidance, transportation and entertainment tasks, as well as medical applications. This Special Issue intends to concentrate on recent developments concerning mobile robots and the research surrounding them to enhance studies on the fundamental problems observed in the robots. Various multidisciplinary approaches and integrative contributions including navigation, learning and adaptation, networked system, biologically inspired robots and cognitive methods are welcome contributions to this Special Issue, both from a research and an application perspective.

Keywords

path planning --- lane change --- excellent driver model --- neural networks --- autonomous vehicle --- remotely operated vehicle --- ocean current --- cable disturbance modeling --- lumped parameter method --- sliding mode observer --- 4WS4WD vehicle --- force control --- MPC --- PSO --- path tracking --- negative-buoyancy --- tri-tilt-rotor --- autonomous underwater vehicle (AUV) --- immersion and invariance --- object mapping --- Geometric Algebra --- Differential Evolution --- non-inertial reference frame --- centrifugal force --- turning model LIP --- trajectory planning --- space robot --- hybrid bionic robot --- chameleon --- end effector --- hybrid robot --- curve fitting --- fair optimisation --- trajectory interpolation --- piezoelectric actuator --- high step-up ratio --- high efficiency --- small size --- micro mobile robot --- biomimetic robot --- micro air vehicle --- flapping --- drag-based system --- dragonfly --- snake-like robot --- singularity analysis --- system design --- dynamical model --- nonlinear differentiator --- robotic drilling --- sliding mode control --- drilling end-effector --- fault diagnosis --- quadcopter UAV --- fault-tolerant control --- sliding mode observer --- Thau observer --- smart materials --- actuators --- robots --- electro-rheological fluids --- magneto-rheological fluids --- shape memory alloys --- medical devices --- rehabilitation system --- LOS --- motion camouflage control --- parallel navigation --- missile control system --- target tracking --- variable speed --- high-speed target --- snake robots --- head-raising --- shape-fitting --- phase-shifting --- spiral curve --- servo valve --- pneumatics --- position control --- cart --- robot --- step climbing --- transportation --- stopper --- climbing robot --- safety recovery mechanism --- cable detection --- dynamic coupling analysis --- path planning --- mobile robots --- curvature constraints --- state constraints --- extend procedure --- G3-continuity --- car-like kinematics --- obstacle avoidance system --- harmonic potential field --- curvature constraint --- non-holonomic mobile robot --- computing time --- inverse kinematics --- joint limit avoidance --- kinematic singularity --- manipulator --- obstacle avoidance --- potential field --- service robot --- graph representation --- similarity measure --- mobile robot --- static environments --- path planning --- multi-objective optimization --- NSGA-II --- evolutionary operators --- mobile robot --- coalmine --- exploration --- robotics --- ATEX --- safety --- methane --- quadruped robot --- stability criterion --- dynamic gait --- glass façade cleaning robot --- wall climbing robot --- biped mechanism --- data association --- 3D-SLAM --- localization --- mapping --- disturbance-rejection control --- extended state observer (ESO) --- hover mode --- transition mode --- negative buoyancy --- quad-tilt rotor --- autonomous underwater vehicle (AUV) --- Rodrigues parameters --- UAV --- variable spray --- prescription map translation --- PID algorithm --- grip planning --- biped climbing robots --- collision avoidance --- grip optimization --- dynamic environment --- closed-loop detection --- sparse pose adjustment (SPA) --- inertial measurement unit (IMU) --- simultaneous localization and mapping (SLAM) --- non-singular fast-terminal sliding-mode control --- industrial robotic manipulator --- external disturbance --- dynamic uncertainty --- adaptive control law --- exoskeleton --- load carriage --- muscle activities --- human–robot interaction --- discomfort --- actuatorless --- alpine ski --- human–robot interaction --- mechanism --- passive skiing turn --- skiing robot --- predictable trajectory planning --- geodesic --- constrained motion --- mobile robot --- jumping robot --- hopping robot --- continuous hopping --- single actuator --- self-reconfigurable robot --- cleaning robot --- Tetris-inspired --- polyomino tiling theory --- coverage path planning --- area decomposition --- multi-criteria decision making --- design and modeling --- kinematics --- kinematic identification --- monocular vision --- action generation --- robot motion --- undiscovered sensor values --- differential wheeled robot --- powered exoskeleton --- motion sensor --- machine learning --- unmanned aerial vehicle --- pesticide application --- deposition uniformity --- droplets penetrability --- control efficacy --- working efficiency --- subgoal graphs --- reinforcement learning --- hierarchical path planning --- uncertain environments --- mobile robots --- deep reinforcement learning --- mobile manipulation --- robot learning --- intelligent mobile robot --- pallet transportation --- master-slave --- compact driving unit --- high-gain observer --- snake robot --- series elastic actuator --- SEA --- Robot Operating System --- ROS --- non-prehensile manipulation --- manipulation planning --- contact planning --- manipulation action sequences --- robot --- obstacle avoidance --- facial and gender recognition --- q-learning --- Q-networks --- reinforcement learning --- gait cycle --- biped robots --- minimally invasive surgery robot --- inverse kinematics --- dialytic elimination --- Newton iteration --- curvilinear obstacle --- douglas–peuker polygonal approximation --- opposite angle-based exact cell decomposition --- path planning --- mobile robot --- UAV --- auto-tuning --- machine learning --- iterative learning --- extremum-seeking --- altitude controller --- enemy avoidance --- reinforcement learning --- decision making --- hardware-in-the-loop simulation --- unmanned aerial vehicles --- path planning --- multiple mobile robots --- artificial fish swarm algorithm --- expansion logic strategy --- sample gathering problem --- mobile robots --- mathematical modeling --- numerical evaluation --- centralized architecture --- optimization --- fault recovery --- reinforcement learning --- gait adaptation --- legged robot --- bio-inspired robot --- human–machine interactive navigation --- mobile robot --- topological map --- regional growth --- trajectory planning --- position/force cooperative control --- hierarchical planning --- object-oriented --- symmetrical adaptive variable impedance --- biologically-inspired --- self-learning --- formation control --- mobile robots --- loop closure detection --- convolutional neural network --- spatial pyramid pooling --- dynamic neural networks --- mobile robot navigation --- gesture recognition --- behaviour dynamics --- real-time action recognition --- formation of robots --- non-holonomic robot --- stability analysis --- Lyapunov-like function --- target assignment --- goal exchange --- path following --- switching control --- swarm-robotics --- rendezvous consensus --- robot navigation --- victim-detection --- unmanned surface vessel --- path following --- integral line-of-sight --- finite-time currents observer --- radial basis function neural networks --- input saturation --- n/a

Advanced Mobile Robotics: Volume 2

Author:
ISBN: 9783039219445 9783039219452 Year: Pages: 498 DOI: 10.3390/books978-3-03921-945-2 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: General and Civil Engineering --- Technology (General)
Added to DOAB on : 2020-04-07 23:07:09
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Abstract

Mobile robotics is a challenging field with great potential. It covers disciplines including electrical engineering, mechanical engineering, computer science, cognitive science, and social science. It is essential to the design of automated robots, in combination with artificial intelligence, vision, and sensor technologies. Mobile robots are widely used for surveillance, guidance, transportation and entertainment tasks, as well as medical applications. This Special Issue intends to concentrate on recent developments concerning mobile robots and the research surrounding them to enhance studies on the fundamental problems observed in the robots. Various multidisciplinary approaches and integrative contributions including navigation, learning and adaptation, networked system, biologically inspired robots and cognitive methods are welcome contributions to this Special Issue, both from a research and an application perspective.

Keywords

path planning --- lane change --- excellent driver model --- neural networks --- autonomous vehicle --- remotely operated vehicle --- ocean current --- cable disturbance modeling --- lumped parameter method --- sliding mode observer --- 4WS4WD vehicle --- force control --- MPC --- PSO --- path tracking --- negative-buoyancy --- tri-tilt-rotor --- autonomous underwater vehicle (AUV) --- immersion and invariance --- object mapping --- Geometric Algebra --- Differential Evolution --- non-inertial reference frame --- centrifugal force --- turning model LIP --- trajectory planning --- space robot --- hybrid bionic robot --- chameleon --- end effector --- hybrid robot --- curve fitting --- fair optimisation --- trajectory interpolation --- piezoelectric actuator --- high step-up ratio --- high efficiency --- small size --- micro mobile robot --- biomimetic robot --- micro air vehicle --- flapping --- drag-based system --- dragonfly --- snake-like robot --- singularity analysis --- system design --- dynamical model --- nonlinear differentiator --- robotic drilling --- sliding mode control --- drilling end-effector --- fault diagnosis --- quadcopter UAV --- fault-tolerant control --- sliding mode observer --- Thau observer --- smart materials --- actuators --- robots --- electro-rheological fluids --- magneto-rheological fluids --- shape memory alloys --- medical devices --- rehabilitation system --- LOS --- motion camouflage control --- parallel navigation --- missile control system --- target tracking --- variable speed --- high-speed target --- snake robots --- head-raising --- shape-fitting --- phase-shifting --- spiral curve --- servo valve --- pneumatics --- position control --- cart --- robot --- step climbing --- transportation --- stopper --- climbing robot --- safety recovery mechanism --- cable detection --- dynamic coupling analysis --- path planning --- mobile robots --- curvature constraints --- state constraints --- extend procedure --- G3-continuity --- car-like kinematics --- obstacle avoidance system --- harmonic potential field --- curvature constraint --- non-holonomic mobile robot --- computing time --- inverse kinematics --- joint limit avoidance --- kinematic singularity --- manipulator --- obstacle avoidance --- potential field --- service robot --- graph representation --- similarity measure --- mobile robot --- static environments --- path planning --- multi-objective optimization --- NSGA-II --- evolutionary operators --- mobile robot --- coalmine --- exploration --- robotics --- ATEX --- safety --- methane --- quadruped robot --- stability criterion --- dynamic gait --- glass façade cleaning robot --- wall climbing robot --- biped mechanism --- data association --- 3D-SLAM --- localization --- mapping --- disturbance-rejection control --- extended state observer (ESO) --- hover mode --- transition mode --- negative buoyancy --- quad-tilt rotor --- autonomous underwater vehicle (AUV) --- Rodrigues parameters --- UAV --- variable spray --- prescription map translation --- PID algorithm --- grip planning --- biped climbing robots --- collision avoidance --- grip optimization --- dynamic environment --- closed-loop detection --- sparse pose adjustment (SPA) --- inertial measurement unit (IMU) --- simultaneous localization and mapping (SLAM) --- non-singular fast-terminal sliding-mode control --- industrial robotic manipulator --- external disturbance --- dynamic uncertainty --- adaptive control law --- exoskeleton --- load carriage --- muscle activities --- human–robot interaction --- discomfort --- actuatorless --- alpine ski --- human–robot interaction --- mechanism --- passive skiing turn --- skiing robot --- predictable trajectory planning --- geodesic --- constrained motion --- mobile robot --- jumping robot --- hopping robot --- continuous hopping --- single actuator --- self-reconfigurable robot --- cleaning robot --- Tetris-inspired --- polyomino tiling theory --- coverage path planning --- area decomposition --- multi-criteria decision making --- design and modeling --- kinematics --- kinematic identification --- monocular vision --- action generation --- robot motion --- undiscovered sensor values --- differential wheeled robot --- powered exoskeleton --- motion sensor --- machine learning --- unmanned aerial vehicle --- pesticide application --- deposition uniformity --- droplets penetrability --- control efficacy --- working efficiency --- subgoal graphs --- reinforcement learning --- hierarchical path planning --- uncertain environments --- mobile robots --- deep reinforcement learning --- mobile manipulation --- robot learning --- intelligent mobile robot --- pallet transportation --- master-slave --- compact driving unit --- high-gain observer --- snake robot --- series elastic actuator --- SEA --- Robot Operating System --- ROS --- non-prehensile manipulation --- manipulation planning --- contact planning --- manipulation action sequences --- robot --- obstacle avoidance --- facial and gender recognition --- q-learning --- Q-networks --- reinforcement learning --- gait cycle --- biped robots --- minimally invasive surgery robot --- inverse kinematics --- dialytic elimination --- Newton iteration --- curvilinear obstacle --- douglas–peuker polygonal approximation --- opposite angle-based exact cell decomposition --- path planning --- mobile robot --- UAV --- auto-tuning --- machine learning --- iterative learning --- extremum-seeking --- altitude controller --- enemy avoidance --- reinforcement learning --- decision making --- hardware-in-the-loop simulation --- unmanned aerial vehicles --- path planning --- multiple mobile robots --- artificial fish swarm algorithm --- expansion logic strategy --- sample gathering problem --- mobile robots --- mathematical modeling --- numerical evaluation --- centralized architecture --- optimization --- fault recovery --- reinforcement learning --- gait adaptation --- legged robot --- bio-inspired robot --- human–machine interactive navigation --- mobile robot --- topological map --- regional growth --- trajectory planning --- position/force cooperative control --- hierarchical planning --- object-oriented --- symmetrical adaptive variable impedance --- biologically-inspired --- self-learning --- formation control --- mobile robots --- loop closure detection --- convolutional neural network --- spatial pyramid pooling --- dynamic neural networks --- mobile robot navigation --- gesture recognition --- behaviour dynamics --- real-time action recognition --- formation of robots --- non-holonomic robot --- stability analysis --- Lyapunov-like function --- target assignment --- goal exchange --- path following --- switching control --- swarm-robotics --- rendezvous consensus --- robot navigation --- victim-detection --- unmanned surface vessel --- path following --- integral line-of-sight --- finite-time currents observer --- radial basis function neural networks --- input saturation --- n/a

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