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"This is a must-read how-to guide if you are planning to embark on a scholarly digitisation project. Tailored to the specifications of the British Library’s EAP (Endangered Archives Programme) projects, it is full of sound, practical advice about planning and carrying out a successful digitisation project in potentially challenging conditions. From establishing the scope of the project, via practical considerations about equipment, work routines, staffing, and negotiating local politics, to backing up your data and successfully completing your work, Remote Capture walks you through every stage. Bursting with helpful hints, advice and experiences from people who have completed projects everywhere around the globe from Latin America to Africa to Asia, this book offers a taste of the challenges you might encounter and the best ways to find solutions.With a particular focus on the process of digitisation, whether using a camera or a scanner, Remote Capture is invaluable reading for anybody considering such a project. It will be particularly useful to those who apply for an EAP grant, but the advice in these pages is necessary for anyone wondering how to go about digitising an archive."

English literature. --- endangered archives --- guide --- endangered archives programme --- scholarly digitisation project --- eap --- archive digitisation --- british library --- Aperture --- Copy stand --- Hard disk drive --- Histogram --- Shutter speed

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"This is a must-read how-to guide if you are planning to embark on a scholarly digitisation project. Tailored to the specifications of the British Library’s EAP (Endangered Archives Programme) projects, it is full of sound, practical advice about planning and carrying out a successful digitisation project in potentially challenging conditions. From establishing the scope of the project, via practical considerations about equipment, work routines, staffing, and negotiating local politics, to backing up your data and successfully completing your work, Remote Capture walks you through every stage. Bursting with helpful hints, advice and experiences from people who have completed projects everywhere around the globe from Latin America to Africa to Asia, this book offers a taste of the challenges you might encounter and the best ways to find solutions.With a particular focus on the process of digitisation, whether using a camera or a scanner, Remote Capture is invaluable reading for anybody considering such a project. It will be particularly useful to those who apply for an EAP grant, but the advice in these pages is necessary for anyone wondering how to go about digitising an archive."

English literature. --- endangered archives --- guide --- endangered archives programme --- scholarly digitisation project --- eap --- archive digitisation --- british library --- Aperture --- Copy stand --- Hard disk drive --- Histogram --- Shutter speed --- endangered archives --- guide --- endangered archives programme --- scholarly digitisation project --- eap --- archive digitisation --- british library --- Aperture --- Copy stand --- Hard disk drive --- Histogram --- Shutter speed

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This book presents recent research results related to various applications of computer vision methods in the widely understood contexts of automation and robotics. As the current progress of image analysis applications may be easily observed in various areas of everyday life, it becomes one of the most essential elements of development of Industry 4.0 solutions. Some of the examples, partially discussed in individual chapters, may be related to the visual navigation of mobile robots and drones, monitoring of industrial production lines, non-destructive evaluation and testing, monitoring of the IoT devices or the 3D printing process and the quality assessment of manufactured objects, video surveillance systems, and decision support in autonomous vehicles.

History of engineering & technology --- machine vision --- defect inspection --- image registration --- feature region --- contour point distribution --- edge gradient direction --- augmented reality --- calibration --- head mounted displays --- optical see-through display --- computer vision --- infrared pedestrian detection --- encoder-decoder --- attention --- convolutional neural network --- deep learning --- domain adaptation --- semantic segmentation --- generative adversarial networks --- convolutional neural networks --- aerial imagery --- image processing --- fertilizers --- distribution --- monitoring --- component association --- part recognition --- feature descriptor --- histogram --- feature subset selection --- industrial objects --- sorting --- k-NN algorithm --- transparent plastic granulate --- recycling --- air nozzles --- additive manufacturing --- 3D prints --- surface quality assessment --- image analysis --- combined metrics --- structural similarity --- video analysis --- visual inspection and diagnostics --- industrial and robotic vision systems

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The use of scientific computing tools is currently customary for solving problems at several complexity levels in Applied Sciences. The great need for reliable software in the scientific community conveys a continuous stimulus to develop new and better performing numerical methods that are able to grasp the particular features of the problem at hand. This has been the case for many different settings of numerical analysis, and this Special Issue aims at covering some important developments in various areas of application.

structured matrices --- numerical methods --- time fractional differential equations --- hierarchical splines --- finite difference methods --- null-space --- highly oscillatory problems --- stochastic Volterra integral equations --- displacement rank --- constrained Hamiltonian problems --- hyperbolic partial differential equations --- higher-order finite element methods --- continuous geometric average --- spectral (eigenvalue) and singular value distributions --- generalized locally Toeplitz sequences --- Volterra integro–differential equations --- B-spline --- discontinuous Galerkin methods --- adaptive methods --- Cholesky factorization --- energy-conserving methods --- order --- collocation method --- Poisson problems --- time harmonic Maxwell’s equations and magnetostatic problems --- tree --- multistep methods --- stochastic differential equations --- optimal basis --- finite difference method --- elementary differential --- gradient system --- curl–curl operator --- conservative problems --- line integral methods --- stochastic multistep methods --- Hamiltonian Boundary Value Methods --- limited memory --- boundary element method --- convergence --- analytical solution --- preconditioners --- asymptotic stability --- collocation methods --- histogram specification --- local refinement --- Runge–Kutta --- edge-preserving smoothing --- numerical analysis --- THB-splines --- BS methods --- barrier options --- stump --- shock waves and discontinuities --- mean-square stability --- Volterra integral equations --- high order discontinuous Galerkin finite element schemes --- B-splines --- vectorization and parallelization --- initial value problems --- one-step methods --- scientific computing --- fractional derivative --- linear systems --- Hamiltonian problems --- low rank completion --- ordinary differential equations --- mixed-index problems --- edge-histogram --- Hamiltonian PDEs --- matrix ODEs --- HBVMs --- floating strike Asian options --- Hermite–Obreshkov methods --- generalized Schur algorithm --- Galerkin method --- symplecticity --- high performance computing --- isogeometric analysis --- discretization of systems of differential equations

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This book presents recent research results related to various applications of computer vision methods in the widely understood contexts of automation and robotics. As the current progress of image analysis applications may be easily observed in various areas of everyday life, it becomes one of the most essential elements of development of Industry 4.0 solutions. Some of the examples, partially discussed in individual chapters, may be related to the visual navigation of mobile robots and drones, monitoring of industrial production lines, non-destructive evaluation and testing, monitoring of the IoT devices or the 3D printing process and the quality assessment of manufactured objects, video surveillance systems, and decision support in autonomous vehicles.

History of engineering & technology --- machine vision --- defect inspection --- image registration --- feature region --- contour point distribution --- edge gradient direction --- augmented reality --- calibration --- head mounted displays --- optical see-through display --- computer vision --- infrared pedestrian detection --- encoder-decoder --- attention --- convolutional neural network --- deep learning --- domain adaptation --- semantic segmentation --- generative adversarial networks --- convolutional neural networks --- aerial imagery --- image processing --- fertilizers --- distribution --- monitoring --- component association --- part recognition --- feature descriptor --- histogram --- feature subset selection --- industrial objects --- sorting --- k-NN algorithm --- transparent plastic granulate --- recycling --- air nozzles --- additive manufacturing --- 3D prints --- surface quality assessment --- image analysis --- combined metrics --- structural similarity --- video analysis --- visual inspection and diagnostics --- industrial and robotic vision systems --- machine vision --- defect inspection --- image registration --- feature region --- contour point distribution --- edge gradient direction --- augmented reality --- calibration --- head mounted displays --- optical see-through display --- computer vision --- infrared pedestrian detection --- encoder-decoder --- attention --- convolutional neural network --- deep learning --- domain adaptation --- semantic segmentation --- generative adversarial networks --- convolutional neural networks --- aerial imagery --- image processing --- fertilizers --- distribution --- monitoring --- component association --- part recognition --- feature descriptor --- histogram --- feature subset selection --- industrial objects --- sorting --- k-NN algorithm --- transparent plastic granulate --- recycling --- air nozzles --- additive manufacturing --- 3D prints --- surface quality assessment --- image analysis --- combined metrics --- structural similarity --- video analysis --- visual inspection and diagnostics --- industrial and robotic vision systems