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Graphics Shaders: Theory and Practice is intended for a second course in computer graphics at the undergraduate or graduate level, introducing shader programming in general, but focusing on the GLSL shading language. While teaching how to write programmable shaders, the authors also teach and reinforce the fundamentals of computer graphics. The second edition has been updated to incorporate changes in the OpenGL API (OpenGL 4.x and GLSL 4.x0) and also has a chapter on the new tessellation shaders, including many practical examples. 

The book starts with a quick review of the graphics pipeline, emphasizing features that are rarely taught in introductory courses, but are immediately exposed in shader work. It then covers shader-specific theory for vertex, tessellation, geometry, and fragment shaders using the GLSL 4.x0 shading language. The text also introduces the freely available glman tool that enables you to develop, test, and tune shaders separately from the applications that will use them. The authors explore how shaders can be used to support a wide variety of applications and present examples of shaders in 3D geometry, scientific visualization, geometry morphing, algorithmic art, and more. 

Features of the Second Edition: 

    Written using the most recent specification releases (OpenGL 4.x and GLSL 4.x0) including code examples brought up-to-date with the current standard of the GLSL language. 
    More examples and more exercises 
    A chapter on tessellation shaders 
    An expanded Serious Fun chapter with examples that illustrate using shaders to produce fun effects 
    A discussion of how to handle the major changes occurring in the OpenGL standard, and some C++ classes to help you manage that transition 

The authors thoroughly explain the concepts, use sample code to describe details of the concepts, and then challenge you to extend the examples. They provide sample source code for many of the books examples at www.cgeducation.org


robots --- CIM (computer integrated manufacturing) --- TPS (technische productiesystemen) --- Artificial intelligence. Robotics. Simulation. Graphics --- FPA (flexibele productieautomatisering) --- productieautomatisering --- 681.3*J6 --- #KVIV:BB --- Productietechnologie (uitvoerend : eiland-niveau) 658.514 --- automatisering --- bedrijfseconomie --- montagetechnieken --- ontwerpen --- productie --- 621.9-52 --- CAD computer aided design --- CIM computer integrated manufacturing --- DNC direct numerical control --- FPA flexibele productieautomatisering --- flexibele fabricage --- montage --- productieplanning --- productieprocessen --- toegepaste mechanica --- werkplaatstechniek --- 621.7/.9-52 --- 681.5 --- Automatisering --- Produktiesystemen --- Besturingstechniek --- CIM --- Logistiek --- Montage --- Ontwerpen --- Planning --- Productie --- fpa --- produktieautomatisering --- Computer-aided engineering: computer-aided design; CAD; computer-aided manufacturing; CAM --- (zie ook: industriële automatisering) --- 681.3*J6 Computer-aided engineering: computer-aided design; CAD; computer-aided manufacturing; CAM

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681.3*I29 --- #KVIV --- Productietechnologie (uitvoerend : eiland-niveau) 658.514 --- 681.5 --- Automatisering --- Robotica --- robotica --- automatisering --- besturingssystemen --- fpa --- hanteerrobot --- industriële robot --- Robotics: manipulators; propelling mechanisms; sensors (Artificial intelli- gence) --- (zie ook: automatisering) --- Industriële toepassingen --- Robots --- Sensoren --- Industriële toepassingen. --- Robots. --- Sensoren. --- 681.3*I29 Robotics: manipulators; propelling mechanisms; sensors (Artificial intelli- gence)

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658.51 --- #TWER:FMS --- 681.3*I29 --- robots --- besturingssystemen --- sensoren --- effectoren --- productieprocessen --- Organization of production --- Robotics: manipulators; propelling mechanisms; sensors (Artificial intelli- gence) --- #KVIV --- #BIBC:T1999 --- industriële robot --- fpa --- 681.3*I29 Robotics: manipulators; propelling mechanisms; sensors (Artificial intelli- gence) --- 658.51 Organization of production --- Industrial robotics --- CAM --- AUTOMATION --- Monograph --- Automation. --- Automatic factories --- Automatic production --- Computer control --- Engineering cybernetics --- Factories --- Industrial engineering --- Mechanization --- Assembly-line methods --- Automatic control --- Automatic machinery --- CAD/CAM systems --- Robotics --- Automation

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The Special Issue “Assessment and Nonlinear Modeling of Wave, Tidal, and Wind Energy Converters and Turbines” contributes original research to stimulate the continuing progress of the offshore renewable energy (ORE) field, with a focus on state-of-the-art numerical approaches developed for the design and analysis of ORE devices. Particularly, this collection provides new methodologies, analytical/numerical tools, and theoretical methods that deal with engineering problems in the ORE field of wave, wind, and current structures. This Special Issue covers a wide range of multidisciplinary aspects, such as the 1) study of generalized interaction wake model systems with elm variation for offshore wind farms; 2) a flower pollination method based on global maximum power point tracking strategy for point-absorbing type wave energy converters; 3) performance optimization of a Kirsten–Boeing turbine using a metamodel based on neural networks coupled with CFD; 4) proposal of a novel semi-submersible floating wind turbine platform composed of inclined columns and multi-segmented mooring lines; 5) reduction of tower fatigue through blade back twist and active pitch-to-stall control strategy for a semi-submersible floating offshore wind turbine; 6) assessment of primary energy conversion of a closed-circuit OWC wave energy converter; 7) development and validation of a wave-to-wire model for two types of OWC wave energy converters; 8) assessment of a hydrokinetic energy converter based on vortex-induced angular oscillations of a cylinder; 9) application of wave-turbulence decomposition methods on a tidal energy site assessment; 10) parametric study for an oscillating water column wave energy conversion system installed on a breakwater; 11) optimal dimensions of a semisubmersible floating platform for a 10 MW wind turbine; 12) fatigue life assessment for power cables floating in offshore wind turbines.

History of engineering & technology --- off-shore wind farms (OSWFs) --- wake model --- wind turbine (WT) --- Extreme Learning Machine (ELM) --- wind power (WP) --- large-eddy simulation (LES) --- point-absorbing --- wave energy converter (WEC) --- maximum power point tracking (MPPT) --- flower pollination algorithm (FPA) --- power take-off (PTO) --- hill-climbing method --- Kirsten–Boeing --- vertical axis turbine --- optimization --- neural nets --- Tensorflow --- ANSYS CFX --- metamodeling --- FOWT --- multi-segmented mooring line --- inclined columns --- semi-submersible --- AFWT --- floating offshore wind turbine (FOWT) --- pitch-to-stall --- blade back twist --- tower fore–aft moments --- negative damping --- blade flapwise moment --- tower axial fatigue life --- wave energy --- oscillating water column --- tank testing --- valves --- air compressibility --- air turbine --- wave-to-wire model --- energy harnessing --- energy converter --- flow-induced oscillations --- vortex-induced vibration --- flow–structure interaction --- hydrodynamics --- vortex shedding --- cylinder wake --- tidal energy --- site assessment --- wave-current interaction --- turbulence --- integral length scales --- wave-turbulence decomposition --- OWC --- wave power converting system --- parametric study --- caisson breakwater application --- floating offshore wind turbines --- frequency domain model --- semisubmersible platform --- 10 MW wind turbines --- large floating platform --- platform optimization --- wind energy --- floating offshore wind turbine --- dynamic analysis --- fatigue life assessment --- flexible power cables --- Daguragu / Kalkaringi / Wave Hill (Central NT SE52-08)

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The Special Issue “Assessment and Nonlinear Modeling of Wave, Tidal, and Wind Energy Converters and Turbines” contributes original research to stimulate the continuing progress of the offshore renewable energy (ORE) field, with a focus on state-of-the-art numerical approaches developed for the design and analysis of ORE devices. Particularly, this collection provides new methodologies, analytical/numerical tools, and theoretical methods that deal with engineering problems in the ORE field of wave, wind, and current structures. This Special Issue covers a wide range of multidisciplinary aspects, such as the 1) study of generalized interaction wake model systems with elm variation for offshore wind farms; 2) a flower pollination method based on global maximum power point tracking strategy for point-absorbing type wave energy converters; 3) performance optimization of a Kirsten–Boeing turbine using a metamodel based on neural networks coupled with CFD; 4) proposal of a novel semi-submersible floating wind turbine platform composed of inclined columns and multi-segmented mooring lines; 5) reduction of tower fatigue through blade back twist and active pitch-to-stall control strategy for a semi-submersible floating offshore wind turbine; 6) assessment of primary energy conversion of a closed-circuit OWC wave energy converter; 7) development and validation of a wave-to-wire model for two types of OWC wave energy converters; 8) assessment of a hydrokinetic energy converter based on vortex-induced angular oscillations of a cylinder; 9) application of wave-turbulence decomposition methods on a tidal energy site assessment; 10) parametric study for an oscillating water column wave energy conversion system installed on a breakwater; 11) optimal dimensions of a semisubmersible floating platform for a 10 MW wind turbine; 12) fatigue life assessment for power cables floating in offshore wind turbines.

off-shore wind farms (OSWFs) --- wake model --- wind turbine (WT) --- Extreme Learning Machine (ELM) --- wind power (WP) --- large-eddy simulation (LES) --- point-absorbing --- wave energy converter (WEC) --- maximum power point tracking (MPPT) --- flower pollination algorithm (FPA) --- power take-off (PTO) --- hill-climbing method --- Kirsten–Boeing --- vertical axis turbine --- optimization --- neural nets --- Tensorflow --- ANSYS CFX --- metamodeling --- FOWT --- multi-segmented mooring line --- inclined columns --- semi-submersible --- AFWT --- floating offshore wind turbine (FOWT) --- pitch-to-stall --- blade back twist --- tower fore–aft moments --- negative damping --- blade flapwise moment --- tower axial fatigue life --- wave energy --- oscillating water column --- tank testing --- valves --- air compressibility --- air turbine --- wave-to-wire model --- energy harnessing --- energy converter --- flow-induced oscillations --- vortex-induced vibration --- flow–structure interaction --- hydrodynamics --- vortex shedding --- cylinder wake --- tidal energy --- site assessment --- wave-current interaction --- turbulence --- integral length scales --- wave-turbulence decomposition --- OWC --- wave power converting system --- parametric study --- caisson breakwater application --- floating offshore wind turbines --- frequency domain model --- semisubmersible platform --- 10 MW wind turbines --- large floating platform --- platform optimization --- wind energy --- floating offshore wind turbine --- dynamic analysis --- fatigue life assessment --- flexible power cables --- Daguragu / Kalkaringi / Wave Hill (Central NT SE52-08)