Search Results - (((((((kant OR cantion) OR mantis) OR wind) OR cantor) OR anne) OR shape) OR hints) algorithms.

Computational intelligence in aerospace sciences

Table of Contents: “…Guenov, Mrco Nunez, Arturo Molina-Cristóbal, Vis Sripawadkul, varun Datta and Atif Riaz ; Surrogate modeling in the service of multidisciplinary design / Stephen Powell and András Sóbester ; Multidisciplinary design optimization of aerospace transportation systems / Edmondo Minisci and Massimilliano Vasile -- Aerodynamics optimization: Aerodynamic shape design using evolutionary computation : a tutorial with examples and case studies / Domenico Quagliarella ; Multiobjective design optimization using Nash games / Jean-Antoine Désidéri and Régis Duvigneau ; Design rule extraction using multiobjective design exploration / Shigeru Obayashi -- Space trajectory design: Automated interplanetary mission planning / Jacob Englander and Bruce Conway ; On the global optimization of multigravity assist trajectories with evolutionary algorithms / Massimilliano Vasile and Edmondo Minisci, Marco Locatelli ; An incremental algorithm for the optimization of multiple gravity assist trajectories / Massimilliano Vasile, Matteo Ceriotti, Victor M. …”
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Small Unmanned Aircraft : Theory and Practice by Beard, Randal W., McLain, Timothy W., 1963-

Table of Contents: “…Cover; Contents; Preface; 1 Introduction; 1.1 System Architecture; 1.2 Design Models; 1.3 Design Project; 2 Coordinate Frames; 2.1 Rotation Matrices; 2.2 MAV Coordinate Frames; 2.3 Airspeed, Wind Speed, and Ground Speed; 2.4 The Wind Triangle; 2.5 Differentiation of a Vector; 2.6 Chapter Summary; 2.7 Design Project; 3 Kinematics and Dynamics; 3.1 State Variables; 3.2 Kinematics; 3.3 Rigid-body Dynamics; 3.4 Chapter Summary; 3.5 Design Project; 4 Forces and Moments; 4.1 Gravitational Forces; 4.2 Aerodynamic Forces and Moments; 4.3 Propulsion Forces and Moments; 4.4 Atmospheric Disturbances.…”
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Parts-feeding systems for assembly : organisation, logistics and automation

Table of Contents: “…A model for kitting operations planningRobust optimization approach to production system with failure in rework and breakdown under uncertainty: evolutionary methods; Re-layout of an assembly area: a case study at Bosch Rexroth Oil Control; A simple mechanical measurement system for the posture evaluation of wing components using the PSO and ICP algorithms; Implementation framework for a fully flexible assembly system (F-FAS); A genetic algorithm for supermarket location problem; New Kanban model for tow-train feeding system design.…”
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3D face modeling, analysis and recognition by Daoudi, Mohamed, Ph. D., Srivastava, Anuj, Veltkamp, Remco C., 1963-

Table of Contents: “…3.5.4 Extension to Facial Surfaces Shape Analysis3.6 The Dense Scalar Field (DSF); 3.7 Statistical Shape Analysis; 3.7.1 Statistics on Manifolds: Karcher Mean; 3.7.2 Learning Statistical Models in Shape Space; 3.8 Applications of Statistical Shape Analysis; 3.8.1 3D Face Restoration; 3.8.2 Hierarchical Organization of Facial Shapes; 3.9 The Iso-geodesic Stripes; 3.9.1 Extraction of Facial Stripes; 3.9.2 Computing Relationships between Facial Stripes; 3.9.3 Face Representation and Matching Using Iso-geodesic Stripes; Exercises; Glossary; References.…”
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Wavelet theory approach to pattern recognition

Table of Contents: “…Comparison with other wavelets. 7.4. Algorithm and experiments -- ch. 8. Skeletonization of ribbon-like shapes with new wavelet function. 8.1. …”
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Towards human-UAV physical interaction and fully actuated aerial vehicles by Rajappa, Sujit

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The Finite Element Method : a Practical Course. by Liu, G. R.

Table of Contents: “…3.4.3.3 On other means of construct shape functions3.4.4 Properties of the shape functions; 3.4.5 Formulation of finite element equations in local coordinate system; 3.4.6 Coordinate transformation; 3.4.7 Assembly of global FE equation; 3.4.8 Imposition of displacement constraints; 3.4.9 Solving the global FE equation; 3.5 Static analysis; 3.6 Analysis of free vibration (eigenvalue analysis); 3.7 Transient response; 3.7.1 Central difference algorithm; 3.7.2 Newmark's method (Newmark, 1959); 3.8 Remarks; 3.8.1 Summary of shape function properties.…”
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An introduction to computational engineering with Matlab by Yang, Xin-She

Table of Contents: “…Optimization in Engineering -- 12.1 Introduction -- 12.2 Bioinspired Algorithms -- 12.2.1 Genetic Algorithms -- 12.2.2 Neural Networks…”
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Java Deep Learning Projects : Implement 10 Real-World Deep Learning Applications Using Deeplearning4j and Open Source APIs. by Karim, Rezaul

Table of Contents: “…; Artificial Neural Networks; Biological neurons; A brief history of ANNs; How does an ANN learn?; ANNs and the backpropagation algorithm; Forward and backward passes; Weights and biases; Weight optimization; Activation functions.…”
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Integrated and collaborative product development environment : technologies and implementations by Li, W. D.

Table of Contents: “…Intelligent Optimisation of Process Planning; 5.1 Intelligent Optimisation Strategies for CAPP Systems; 5.2 Knowledge Representation of Process Plans; 5.2.1 Process plan representation; 5.2.2 Machining cost criteria for process plans; 5.2.3 Precedence constraints; 5.3 A Hybrid GA/SA-based Optimisation Method; 5.3.1 Overview of the algorithm; 5.3.2 Genetic algorithm -- phase 1; 5.3.3 Simulated annealing algorithm -- phase 2; 5.3.4 Constraint handling algorithm.…”
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Energy efficient technologies for sustainability : selected, peer reviewed papers from the International Conference on Energy Efficient Technologies for Sustainability (ICEETS 2013...

Table of Contents: “…Kothari -- Investigation of PMSG Fed Diode-Clamped Multilevel Inverter for Wind Energy System / R. Seyezhai -- Modeling of Photovoltaic Array and Simulation of MPPT Algorithm / R. …”
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Deep Learning with TensorFlow : Explore neural networks and build intelligent systems with Python, 2nd Edition. by Zaccone, Giancarlo

Table of Contents: “…; Artificial neural networks; The biological neurons; The artificial neuron; How does an ANN learn?; ANNs and the backpropagation algorithm; Weight optimization; Stochastic gradient descent; Neural network architectures; Deep Neural Networks (DNNs); Multilayer perceptron; Deep Belief Networks (DBNs).…”
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Model Free Adaptive Control : Theory and Applications. by Hou, Zhongsheng, Jin, Shangtai

Table of Contents: “…Traffic System; Welding Process; MW Grade Wind Turbine; Conclusions; Conclusions and Perspectives; Conclusions; Perspectives; References.…”
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Measurement while drilling (MWD) : signal analysis, optimization, and design by Chin, Wilson C.

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Seismic Data Interpretation using Digital Image Processing by Al-Shuhail, Abdullatif A., Al-Dossary, Saleh A., Mousa, Wail A.

Table of Contents: “…5.5 Two-Dimensional Second-Order Derivative Operator5.5.1 The Coherence Attribute; 5.5.2 The Dip Attribute; 5.6 The Curvature Attribute; 5.7 Curvature of the Surface; 5.7.1 Curve, Velocity, and Curvature; 5.7.2 Surface, Tangent Plane, and Norm; 5.8 Shape Operator, Normal Curvature, and Principal Curvature; 5.8.1 Normal Curvature; 5.8.2 Shape Operator; 5.8.3 The Principal Curvatures; 5.8.4 Calculation of the Principal Curvatures; 5.8.5 Summary of Calculation of Principal Curvature for a Surface; 5.9 The Randomness Attribute; 5.10 Technique for Two-Dimensional Images.…”
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Revolutionary routines : the habits of social transformation by Pedwell, Carolyn

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Hes-2019. by Forzan, Michele

Table of Contents: “…Cover -- Guest editorial -- Optimization of electroslag melting towards to titanium morphology improvement in combined Kroll process -- Optimal design methods for the uniform heating of tube ends for stress relieving -- Numerical simulation and verification of MHD-vortex -- Shape optimization of soft magnetic composite inserts for electromagnetic stirrer with traveling magnetic field -- Cold crucible melting with bottom pouring nozzle -- Calibration of laser welding model based on optimization techniques -- Optimal heat induction treatment of titanium alloys…”
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Optimization and Inverse Problems in Electromagnetism. by Salvini, Alessandro

Table of Contents: “…Cover; EDITORIAL ADVISORY BOARD; Analytical and numerical models of the magnetoacoustic tomography with magnetic induction; Application of PSO and TLBO algorithms with neural network for optimal design of electrical machines; Comparison of three space mapping techniques on electromagnetic design optimization; Optimal shape design of multi layered IPMSM using adaptive dynamic Taylor Kriging model; Design by optimization of controlled static converters with EMC filters in aeronautics.…”
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Active Spanwise Lift Control. by Dias, Joaquim Neto

Table of Contents: “…4.4 Physical Interpretation of Aerodynamic Modes -- 4.5 Effects of Varying Wing Planform on the Mode Shapes and Eigenvalues -- 4.6 Chapter Summary -- Chapter 5: Spatial Control of Spanwise Lift Distribution -- 5.1 Model Output Expansion into Mode Shapes -- 5.2 Threshold for Model Truncation -- 5.3 Spatial-Temporal Controller Synthesis -- 5.4 Shape Control Problem -- 5.5 Gust Load Alleviation Problem -- 5.6 Gust Load Alleviation Problem with Gust Estimation -- 5.7 Chapter Summary -- 5.8 Future Developments of This Methodology -- Appendix A -- References -- Index -- Supporting Materials…”
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Advanced Manufacturing Research and Intelligent Applications : Selected, Peer Reviewed Papers from the International Conference on Computational Intelligence and Advanced Manufactu...

Table of Contents: “…Experimental Investigations on Machining Micro Alloy Steel (MAS 38MnSiVS5) Using K 20 Multi Coated Carbide InsertImproving the Hardness of a Wind Turbine Gear Surface by Nitriding Process; Design of Electromechanical Engine for Zero Direct Emission; VED & ABC Analysis of Inventories for a Wind Turbine Company; Analysis on the Performance, Combustion and Emission Characteristicsof a CI Engine Fuelled with Algae Biodiesel; Reducing UT Rejections in Cr-Mo and High Mn Steels by Controlling Hydrogen and Optimising Superheat; Synthesis and Characteristic of AA6061/SiC Sand Cast Composite.…”
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