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This book is to presents and evaluates a way of modelling and optimizing nonlinear RFID Network Planning (RNP) problems using artificial intelligence techniques. It uses Artificial Neural Network models (ANN) to bind together the computational artificial intelligence algorithm with knowledge representation an efficient artificial intelligence paradigm to model and optimize RFID networks. This effort leads to proposing a novel artificial intelligence algorithm which has been named hybrid artificial intelligence optimization technique to perform optimization of RNP as a hard learning problem. This hybrid optimization technique consists of two different optimization phases. First phase is optimizing RNP by Redundant Antenna Elimination (RAE) algorithm and the second phase which completes RNP optimization process is Ring Probabilistic Logic Neural Networks (RPLNN). The hybrid paradigm is explored using a flexible manufacturing system (FMS) and the results are compared with well-known evolutionary optimization technique namely Genetic Algorithm (GA) to demonstrate the feasibility of the proposed architecture successfully.
Artificial intelligence --- Industrial applications. --- Telecommunication. --- Artificial intelligence. --- Engineering economy. --- Communications Engineering, Networks. --- Artificial Intelligence. --- Engineering Economics, Organization, Logistics, Marketing. --- Economy, Engineering --- Engineering economics --- Industrial engineering --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Telecommunications --- Communication --- Information theory --- Telecommuting --- Electrical engineering. --- Engineering economics. --- Electric engineering --- Engineering
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Mechatronics. --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems
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Mechatronics is a multidisciplinary branch of engineering combining mechanical, electrical and electronics, control and automation, and computer engineering fields. The main research task of mechatronics is design, control, and optimization of advanced devices, products, and hybrid systems utilizing the concepts found in all these fields. The purpose of this special issue is to help better understand how mechatronics will impact on the practice and research of developing advanced techniques to model, control, and optimize complex systems. The special issue presents recent advances in mechatronics and related technologies. The selected topics give an overview of the state of the art and present new research results and prospects for the future development of the interdisciplinary field of mechatronic systems.
Technology & Engineering / Robotics --- Technology --- Applied science --- Arts, Useful --- Science, Applied --- Useful arts --- Science --- Industrial arts --- Material culture --- Technology & Engineering --- Robotics
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This book is to presents and evaluates a way of modelling and optimizing nonlinear RFID Network Planning (RNP) problems using artificial intelligence techniques. It uses Artificial Neural Network models (ANN) to bind together the computational artificial intelligence algorithm with knowledge representation an efficient artificial intelligence paradigm to model and optimize RFID networks. This effort leads to proposing a novel artificial intelligence algorithm which has been named hybrid artificial intelligence optimization technique to perform optimization of RNP as a hard learning problem. This hybrid optimization technique consists of two different optimization phases. First phase is optimizing RNP by Redundant Antenna Elimination (RAE) algorithm and the second phase which completes RNP optimization process is Ring Probabilistic Logic Neural Networks (RPLNN). The hybrid paradigm is explored using a flexible manufacturing system (FMS) and the results are compared with well-known evolutionary optimization technique namely Genetic Algorithm (GA) to demonstrate the feasibility of the proposed architecture successfully.
Industrial economics --- Telecommunication technology --- Applied physical engineering --- Mass communications --- Artificial intelligence. Robotics. Simulation. Graphics --- RFID (radio frequentiële identificatie) --- tekstverwerking --- KI (kunstmatige intelligentie) --- industriële marketing --- ingenieurswetenschappen --- communicatietechnologie --- AI (artificiële intelligentie)
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This book presents improved numerical techniques and applied computer-aided simulations as a part of emerging trends in mechatronics in all areas related to complex fluids, with particular focus on using a combination of modeling, theory, and simulation to study systems that are complex due to the rheology of fluids (i.e., ceramic pastes, polymer solutions and melts, colloidal suspensions, emulsions, foams, micro-/nanofluids, etc.) and multiphysics phenomena in which the interactions of various effects (thermal, chemical, electric, magnetic, or mechanical) lead to complex dynamics. The areas of applications span materials processing, manufacturing, and biology.
Mathematical physics --- Fluid mechanics --- Applied physical engineering --- superclaus proces --- theoretische fysica --- wiskunde --- ingenieurswetenschappen --- fysica --- vloeistoffen --- Data processing. --- Mathematical models.
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This book provides an in-depth understanding of the fundamental scientific principles and technologies used in the design of modern computer-controlled machines and processes. It emphasizes the synergies in the design process and explores the challenges and opportunities for integrating diverse engineering disciplines. The book consists of six chapters that cover a wide range of topics related to mechatronics and control system engineering. Overall, the book is an excellent resource for professionals, engineers, researchers, and students who want to gain a comprehensive understanding of the trans-disciplinary field of mechatronics and control systems engineering.
Methodology of economics --- Applied physical engineering --- Engineering sciences. Technology --- Production management --- Business management --- Business economics --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- financieel management --- superclaus proces --- automatisering --- productie --- KI (kunstmatige intelligentie) --- ingenieurswetenschappen --- Mechatronics. --- Artificial intelligence. --- Industrial engineering. --- Automation. --- Production engineering. --- Artificial Intelligence. --- Industrial Automation. --- Industrial and Production Engineering. --- Control theory. --- AI (artificiële intelligentie)
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This book provides a concise introduction to the behavior of mechanical structures and testing their stochastic stability under the influence of noise. It explains the physical effects of noise and in particular the concept of Gaussian white noise. In closing, the book explains how to model the effects of noise on mechanical structures, and how to nullify / compensate for it by designing effective controllers.
Stochastic processes. --- Random processes --- Probabilities --- Vibration. --- Statistical physics. --- Vibration, Dynamical Systems, Control. --- Statistical Physics and Dynamical Systems. --- Physics --- Mathematical statistics --- Cycles --- Mechanics --- Sound --- Statistical methods
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This book covers the tunnel boring machine (TBM) performance classifications, empirical models, statistical and intelligent-based techniques which have been applied and introduced by the researchers in this field. In addition, a critical review of the available TBM performance predictive models will be discussed in details. Then, this book introduces several predictive models i.e., statistical and intelligent techniques which are applicable, powerful and easy to implement, in estimating TBM performance parameters. The introduced models are accurate enough and they can be used for prediction of TBM performance in practice before designing TBMs. .
Engineering geology. --- Engineering—Geology. --- Foundations. --- Hydraulics. --- Mathematical physics. --- Geotechnical engineering. --- Probabilities. --- Applied mathematics. --- Engineering mathematics. --- Statistics . --- Geoengineering, Foundations, Hydraulics. --- Theoretical, Mathematical and Computational Physics. --- Geotechnical Engineering & Applied Earth Sciences. --- Probability Theory and Stochastic Processes. --- Applications of Mathematics. --- Statistical Theory and Methods. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Engineering --- Engineering analysis --- Mathematical analysis --- Probability --- Statistical inference --- Combinations --- Chance --- Least squares --- Mathematical statistics --- Risk --- Engineering, Geotechnical --- Geotechnics --- Geotechnology --- Engineering geology --- Physical mathematics --- Physics --- Flow of water --- Water --- Fluid mechanics --- Hydraulic engineering --- Jets --- Architecture --- Building --- Structural engineering --- Underground construction --- Caissons --- Earthwork --- Masonry --- Soil consolidation --- Soil mechanics --- Walls --- Civil engineering --- Geology, Economic --- Flow --- Distribution --- Details --- Geology --- Tunneling --- Equipment and supplies.
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