Relevant bibliographies by topics / 3D simulator

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic '3D simulator'

Author: Grafiati
Published: 4 June 2021
Last updated: 17 February 2022

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Journal articles on the topic "3D simulator"

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Hu, Ding Jun, Ming Liu, and Lin Gong. "Study on Watercraft Driving Simulator." Advanced Materials Research 658 (January 2013): 395–98. http://dx.doi.org/10.4028/www.scientific.net/amr.658.395.

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This article describes the overall structure of the watercraft simulator. The simulator simulates the battle positions of a certain type of landing craft equipment operation, using state-of-the-art visual display and stereoscopic projection technology. Communicate with the computer simulation device through the data acquisition card (AM9110), visual 3D modeling software (3D MAX / Studio, MultiGen, etc.) to complete, three-dimensional projection system to the edge of fusion technology, and edge blending processor and projector with used to form the big-resolution three-dimensional visual field. The results show that the 225° annular three-dimensional visual field and visual field 135 ° 360 ° visual field watercrafts realistic driving simulator training and good features.
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YOSHIDA, Tomoaki, and Yoshitaka HARA. "3D Lidar Intensity Simulation for Mobile Robot Simulator." Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) 2020 (2020): 1P2—I03. http://dx.doi.org/10.1299/jsmermd.2020.1p2-i03.

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Yörük Açıkel, Birsen, Uğur Turhan, and Yavuz Akbulut. "Effect of Multitasking on Simulator Sickness and Performance in 3D Aerodrome Control Training." Simulation & Gaming 49, no. 1 (December 26, 2017): 27–49. http://dx.doi.org/10.1177/1046878117750417.

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Background. Air traffic controllers need to use their cognitive resources to cope with multiple tasks while monitoring air traffic. They are trained through advanced 3D simulators; however, they might demonstrate simulator sickness symptoms during this training. The relationship between multitasking and simulator sickness and the influence of different tasks on these variables can be investigated to inform further training practices for an efficient traffic monitoring. Purpose. The purpose of this quasi-experimental research was to explore the influence of different working positions and multitasking scenarios on simulator sickness and performance in 3D Aerodrome Control Training. Method. Thirteen undergraduate students from a civil aviation school participated in a time-series experimental design. Nausea, disorientation and oculomotor disturbances were measured before and after conducting different multitasking scenarios in an aerodrome control simulator. A 20-item simulation performance scale was also used. Performance differences and the relationship between simulator sickness and performance were addressed through parametric tests. Results. Findings revealed that tower-ground positions created higher levels of nausea. Performance scores varied in different scenarios. Simulator sickness was higher in females. Total sickness correlated negatively with performance in all scenarios. Conclusion. Certain tasks have different influences on both simulator sickness and performance. Concurrent multitasking seems to trigger simulator sickness further. The degree of simulator adaptation, test anxiety and physiological measures of the process should be considered in further research.
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Yeo, Dong Jin, Moohyun Cha, and Duhwan Mun. "Simulating ship and buoy motions arising from ocean waves in a ship handling simulator." SIMULATION 88, no. 12 (July 16, 2012): 1407–18. http://dx.doi.org/10.1177/0037549712452128.

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A ship’s real-time three-dimensional (3D) visualization system, a component of a handling simulator, is one of its most important components, since realistic and intuitive image generation play an essential role in improving the effects of education using ship navigation simulators. Ship handling simulators should have capabilities of calculating ship motions (heave, pitch, and roll) at any given sea state and display the calculated motions through a real-time 3D visualization system. The motion solver of a ship handling simulator calculates those motions in addition to maneuverings for an own ship, the main simulation target, but only provides maneuvering information about traffic ships. Therefore, it is required to simulate traffic ship and buoy motions arising from ocean waves in a ship handling simulator for realistic visualization. In this paper, the authors propose a simple dynamics model by which ship and buoy motions are calculated with the input data of wave height and discuss a method for the implementation of a ship and buoy motion calculation module. The feasibility of the proposed dynamics model and the motion calculation module has been demonstrated through the development of a prototype real-time 3D visualization system based on an open-source 3D graphics engine.
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Tai, Bruce L., Deborah Rooney, Francesca Stephenson, Peng-Siang Liao, Oren Sagher, Albert J. Shih, and Luis E. Savastano. "Development of a 3D-printed external ventricular drain placement simulator: technical note." Journal of Neurosurgery 123, no. 4 (October 2015): 1070–76. http://dx.doi.org/10.3171/2014.12.jns141867.

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In this paper, the authors present a physical model developed to simulate accurate external ventricular drain (EVD) placement with realistic haptic and visual feedbacks to serve as a platform for complete procedural training. Insertion of an EVD via ventriculostomy is a common neurosurgical procedure used to monitor intracranial pressures and/or drain CSF. Currently, realistic training tools are scarce and mainly limited to virtual reality simulation systems. The use of 3D printing technology enables the development of realistic anatomical structures and customized design for physical simulators. In this study, the authors used the advantages of 3D printing to directly build the model geometry from stealth head CT scans and build a phantom brain mold based on 3D scans of a plastinated human brain. The resultant simulator provides realistic haptic feedback during a procedure, with visualization of catheter trajectory and fluid drainage. A multiinstitutional survey was also used to prove content validity of the simulator. With minor refinement, this simulator is expected to be a cost-effective tool for training neurosurgical residents in EVD placement.
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Pennathur, S., Can K. Sandalci, Çetin K. Koç, and S. M. Goodnick. "3D Parallel Monte Carlo Simulation of GaAs MESFETs." VLSI Design 6, no. 1-4 (January 1, 1998): 273–76. http://dx.doi.org/10.1155/1998/64531.

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We have investigated three-dimensional (3D) effects in sub-micron GaAs MESFETs using a parallel Monte Carlo device simulator, PMC-3D [1]. The parallel algorithm couples a standard Monte Carlo particle simulator for the Boltzmann equation with a 3D Poisson solver using spatial decomposition of the device domain onto separate processors. The scaling properties of the small signal parameters have been simulated for both the gate width in the third dimension as well as the gate length. For realistic 3D device structures, we find that the main performance bottleneck is the Poisson solver rather than the Monte Carlo particle simulator for the parallel successive overrelaxation (SOR) scheme employed in [1]. A parallel multigrid algorithm is reported and compared to the previous SOR implementation, where considerable speedup is obtained.
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Shaoul, Josef R., Aron Behr, and George Mtchedlishvili. "Developing a Tool for 3D Reservoir Simulation of Hydraulically Fractured Wells." SPE Reservoir Evaluation & Engineering 10, no. 01 (February 1, 2007): 50–59. http://dx.doi.org/10.2118/108321-pa.

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Summary This paper describes the development and capabilities of a novel and unique tool that interfaces a hydraulic fracture model and a reservoir simulator. This new tool is another step in improving both the efficiency and consistency of connecting hydraulic fracture engineering and reservoir engineering. The typical way to model hydraulically fractured wells in 3D reservoir simulators is to approximate the fracture behavior with a modified skin or productivity index (PI). Neither method captures all the important physics of flow into and through the fracture. This becomes even more critical in cases of multiphase flow and multilayered reservoirs. Modeling the cleanup phase following hydraulic fracture treatments can be very important in tight gas reservoirs, and this also requires a more detailed simulation of the fracture. Realistic modeling of horizontal wells with multiple hydraulic fractures is another capability that is needed in the industry. This capability requires more than an approximate description of the fracture(s) in the reservoir-simulation model. To achieve all the capabilities mentioned above, a new tool was developed within a commercial lumped 3D fracture-simulation model. This new tool enables significantly more accurate prediction of post-fracture performance with a commercial reservoir simulator. The automatically generated reservoir simulator input files represent the geometry and hydraulic properties of the reservoir, the fracture, the damaged zone around the fracture, and the initial pressure and filtrate fluid distribution in the reservoir. Consistency with the fracture-simulation inputs and outputs is assured because the software automatically transfers the information. High-permeability gridblocks that capture the 2D variation of the fracture conductivity within the reservoir simulator input files represent the fracture. If the fracture width used in the reservoir model is larger than the actual fracture width, the permeability and porosity of the fracture blocks are reduced to maintain the transmissibility and porous volume of the actual fracture. Both proppant and acid fracturing are handled with this approach. To capture the changes in fracture conductivity over time as the bottomhole flowing pressure (BHFP) changes, the pressure-dependent behavior of the fracture is passed to the reservoir simulator. Local grid refinement (LGR) is used in the region of the wellbore and the fracture tip, as well as in the blocks adjacent to the fracture plane. Using small gridblocks adjacent to the fracture plane is needed for an adequate representation of the filtrate-invaded zone using the leakoff depth distribution provided by the fracture simulator. The reservoir simulator input can be created for multiphase fluid systems with multiple layers and different permeabilities. In addition, different capillary pressure and relative permeability saturation functions for each layer are allowed. Introduction Historically, there have been three basic approaches commonly used for predicting the production from hydraulically fractured wells. First, analytic solutions were most commonly used, based on an infinite-conductivity or, later, a finite-conductivity fracture with a given half-length. This approach also was extended to cover horizontal multiple fractured wells (Basquet et al. 1999). With the development of reservoir simulators, two other approaches were developed. For complicated multiwell, multilayer, multiphase simulations (i.e., full-field models), the fracture stimulation was usually approximated as a negative skin. This is the same as increasing the effective wellbore radius in the simulation model. An alternate approach, developed initially for tight gas applications, was to develop a special-purpose numeric reservoir simulator that could explicitly model the flow in the fracture and take into account the special properties of the proppant, such as the stress-dependent permeability or the possibility of non-Darcy flow. Such models typically were limited to a single-layer, single-phase (oil or gas) situation.
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Venancio Teixeira, Jônatas, and Marcelo Da Silva Hounsell. "Desenvolvimento de um Simulador 3D com Modos de Treinamento." Revista Principia - Divulgação Científica e Tecnológica do IFPB 1, no. 39 (April 17, 2018): 79. http://dx.doi.org/10.18265/1517-03062015v1n39p79-86.

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Robotics, like other courses, uses practical classes in laboratories to support the understanding of abstract theoretical concepts. Simulators are computational tools that are useful for both teaching and development, educational robotic simulators are a safe and economical alternative to conventional laboratories which otherwise would require large investments. This article presents the results of a survey of features found in educational robotic simulators, where it was verified that none of them was based on a pedagogical strategy. Then this article presents the Training Modes strategy and how it was applied in a 3D simulator. The use of this simulator proved effective in promoting the learning of introductory concepts of robotics and forward kinematics.
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Wigger, S. J., S. M. Goodnick, and M. Saraniti. "Hybrid Particle-based Full-band Analysis of Ultra-small MOS." VLSI Design 13, no. 1-4 (January 1, 2001): 125–29. http://dx.doi.org/10.1155/2001/94360.

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We report on the 2D and 3D modeling of ultra-small MOS structures using a newly developed full-band device simulator. The simulation tool is based on a novel approach, featuring a hybrid Ensemble Monte Carlo (EMC)-Cellular Automata (CA) simulation engine. In this hybrid approach charge transport is simulated using the CA in regions of momentum space where most scattering events occur and the EMC elsewhere, thus optimizing the trade-off between the fast, but memory consuming CA method and the slower EMC method. To account for the spatial distribution of the electric field and charge concentration, the hybrid EMC/CA simulator is self-consistently coupled with a 2D and 3D multi-grid Poisson solver. The solver is then used to simulate the performance of a 40 nm gate length n-MOSFET structure.
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Ambroz, M., and I. Prebil. "i3Drive, a 3D Interactive Driving Simulator." IEEE Computer Graphics and Applications 30, no. 2 (March 2010): 86–92. http://dx.doi.org/10.1109/mcg.2010.29.

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Dissertations / Theses on the topic "3D simulator"

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Bozkurt, Nesli. "2d/3d Imaging Simulator." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12610147/index.pdf.

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3D modeling of real objects has an increasing importance in numerous areas. Although many methods and solutions are already proposed for 3D data acquisition, research continuing in this area is still intense. However, a crucial drawback about 3D data extraction algorithms is their testing and validation difficulty. Additionally, obtaining calibrated 2D and 3D imaging systems is troublesome due to their high effort demand for calibration and high cost. In this thesis, a 2D/3D Imaging Simulator is proposed in order to ease development and testing of 3D data interpretations of different methods and also to generate synthetic images for miscellaneous use. Furthermore, an example application on FRGC database is explained in detail.
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Estelle, Stephen. "Optimizing 3D Printed Prosthetic Hand and Simulator." Digital Commons at Loyola Marymount University and Loyola Law School, 2019. https://digitalcommons.lmu.edu/etd/661.

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The purpose of this study is to examine the position and use of an upper extremity prosthetic simulator on non-amputees. To see how a 3D printed prosthetic simulator can be optimized to serve the user correctly and accurately. In addition, this study examines the improvement of the Hosmer 5X Prosthetic Hook with the addition of newly designed trusses on to the prosthetic, as well as utilizing a new manufacturing method known as 3D printing. These topics are important because there is no standardized prosthetic simulator for schools and research facilities to use. Off the shelf prosthetic simulator cost upwards of $2000, often too expensive for early stage research. By optimizing the Hosmer 5X Prosthetic Hook with 3D printing, this new opportunity could allow amputees, from a range of income classes, to have access to a wide variety of prosthetics that are strong enough to support everyday living activities. A low-cost prosthetic that is easily distributable and accessible can give people a chance to regain their independence by giving them different options of efficient prosthetic devices, without having to spend so much. The devices in this project were design and analyzed on SOLIDWORKS, 3D scanned on the Artec Space Spider, and surfaced on Geomagic Wrap. Key results include developing a low-cost, robust prosthetic simulator capable of operating a Hosmer 5X Prosthetic hook, as well as developing a lighter version of the Hosmer 5X Prosthetic Hook that is more cost efficient and easily obtainable to the population around the world.
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Melcer, Pavel. "3D Autoškola." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2019. http://www.nusl.cz/ntk/nusl-412569.

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This work deals with driving skills training problematics using a driving school 3D simulator, which monitors the observance of road traffic rules. Existing simulators are categorized by characteristics and described. The text contains a list of implemented rules and a summary of suitable tools. The resultant application is based on the Unreal engine and the text describes the various stages of development.
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Forsberg, Sean Michael. "NETWORK CHANNEL VISUALIZING SIMULATOR: A REAL-TIME, 3D, INTERACTIVE NETWORK SIMULATION PLATFORM." DigitalCommons@CalPoly, 2012. https://digitalcommons.calpoly.edu/theses/784.

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With a focus of always being connected, it's become typical for laptops and mobile devices to include multiple wireless network devices. Though the additional network devices have created mobility and versatility of how a user is connected, it is common for only one to be active at any given time. While likely that new mesh protocols will help maximize connectivity and power consumption by utilizing lower-power multi-hop techniques, it is still difficult to visualize these protocols due to the complexity created by each node's simple choices. Further challenges are presented by the variety of network devices which share frequency ranges with different output power, sensitivities, and antenna radiation patterns. Due to the complexity of these configurations and environments, it becomes clear that reproducible simulations are required. While several network simulators have been thoroughly tested over their many years of use, they often lack realistic handling of key factors that affect wireless networks. A few examples include cross-channel interference, propagation delays, interference caused by nodes beyond communication range, channel switching delays, and non-uniform radiation patterns. Another key limitation of these past tools is their limited methods for clearly displaying characteristics of multi-channel communication. Furthermore, these past utilities lack the graphical and interactive functions which promote the discovery of edge cases through the use of human intuition and pattern recognition. Even with their other limitations, many of these simulators are also extendable with new components and simulation abilities. As a result, a large set of protocols and other useful discoveries have been developed. While the concepts are well tested and verified, a new challenge is found when moving code from prototype to production due to code portability problems. Due to the sophistication of these creations, even small changes in code during a protocols release can have dramatic effects on its functionality. Both to encourage quicker development cycles and maintain code validation, it would be advantageous to provide simulation interfaces which directly match that of production systems. To overcome the various challenges presented and encourage the use of innate human abilities, this paper presents a novel simulation framework, Network Channel Visualizing Simulator (NCVS), with a real-time, interactive, 3D environment with clear representation and simulation of multi-channel RF communication through multiple network device types.
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Huda, Md Nurul. "3D Simulator for Wind Interferometer Data-Model Comparison." Thesis, Virginia Tech, 2019. http://hdl.handle.net/10919/95017.

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The connection between earth and space weather has numerous impacts on spacecraft, radio communications and GPS signals. Thus, predicted & modeling this region is important, yet models (both empirical and first principles) do a poor job of characterizing the variability of this region. One of the main objectives of the NASA ICON mission is to measure the variability of the ionosphere and thermosphere at low-mid latitudes. The MIGHTI instrument on ICON is a Doppler Interferometer that measures the horizontal wind speed and direction with 2 discrete MIGHTI units, separated by 90˚, mounted on the ICON Payload Interface Plate. This work focuses on building a simulation of wind interferometer data, similar to MIGHTI, using a first-principles model as the input dataset, which will be used for early validation and comparison to the MIGHTI data. Using a ray-tracing approach, parameters like O, O2, O+, O2+, T, wind, solar F10.7 index will be read for every point along every ray from the model and brightness and Line of Sight (LOS) wind will be calculated as functions of altitude and time. These data will be compared to the MIGHTI observations to both to establish the limitation of such models, and to validate the ICON data. ICON will help determine the physics of our space environment and pave the way for mitigating its effects on our technology, communications systems and society. However, ICON is yet to launch and due to the unavailability of MIGHTI data, we have selected another instrument called WINDII (Wind Imaging Interferometer) from a different mission UARS (Upper Atmosphere Research Satellite) to demonstrate the utility of this data-model comparison. Similar to MIGHTI, WINDII measures Doppler shifts from a suite of visible region airglow and measures zonal and meridian winds, temperature, and VER (Volume Emission rate) in the upper mesosphere and lower thermosphere (80 to 300 km) from observations of the Earth's airglow. We will use a similar approach discussed for MIGHTI to calculate vertical profile of Redline airglow, Wind velocity, emission rate and compare them with our simulated results to validate our algorithm. We initially thought asymmetry calculation along the Line of Sight (LOS) would be the limiting factor. We believe there are other things going on such as variability in the winds associated with natural fluctuations in the thermosphere, atmospheric waves, inputs from the sun and the atmosphere below etc., appear to be bigger factor than just asymmetry along the line of sight.
The upper Earth atmosphere host’s most of the valuable spacecraft’s and almost all the communication signals go through this portion of the atmosphere. Yet we do not understand what causes variation in the upper atmosphere. In order to answer what’s causing these changes and to understand this complicated region, NASA has developed the ICON mission. ICON we will mainly study the Ionosphere ranging from 90 to 450 km above the earth surface. In this study have developed a tool able to simulate thermospheric wind profiles, O, O2, O+, O2+ densities, Volume emission rate (VER) of green and red line airglow from measurements on the NASA Ionospheric Connection Explorer (ICON) mission from an instrument on board called MIGHTI. However, ICON is yet to launch so do not have MIGHTI to test our algorithm. We chose an instrument which is similar to MIGHTI called Wind Imaging Interferometer (WINDII), from a different mission called Upper Atmosphere Research Satellite (UARS) to test our algorithm. We initially thought asymmetry calculation along the Line of Sight (LOS) would be the limiting factor. We believe there are other things going on such as variability in the winds associated with natural fluctuations in the thermosphere, atmospheric waves, inputs from the sun and the atmosphere below etc., appear to be bigger factor than just asymmetry along the line of sight.
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Sewall, Lyle Matthew. "Dielectric Characterization: A 3D EM Simulation Approach." Thesis, Virginia Tech, 2006. http://hdl.handle.net/10919/35031.

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A new approach is presented that relies upon 3D electromagnetic simulation results to characterize the complex permittivity of homogeneous dielectric materials. By modeling the test fixture and obtaining a set of simulated S-parameters through an iterative solution process, the dielectric constant and loss tangent can be found. With further development, the 3D simulation results may be used to replace the need for complex theoretical analysis of the measurement geometry. The method is applied to an X-band rectangular waveguide setup, for which the theoretical S-parameters can be readily calculated. A Teflon sample, for which the dielectric properties are well-known, is used for all measurements and calculations. After presenting a detailed derivation to obtain the theoretical S-parameters, the Teflon sample is measured and compared to the theoretical results, from which the comparison shows great promise. An inverse solution algorithm is used to solve for the material properties from the experimental S-parameters. Low-frequency measurement of the Teflon sheet was performed by using a dielectric capacitor test fixture. The results show the effect of an air gap between the electrode and sample, producing serious errors.
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Bladlund, Sara. "Evolution of 3D User Distribution Models in Real Network Simulator." Thesis, Uppsala universitet, Signaler och System, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-139415.

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The report treats the development and evaluation of a three dimensional user distribution model for a real network simulator. The simulator is used to create realistic predictions of real networks with the use of high resolution maps including a building data base and network data and also an advanced radio model for LTE. Previously all simulations have been performed with a two dimensional user distribution, i.e. all users situated on the ground level. Since it is considered plausible that many LTE users will be indoors in buildings with multiple floors, several three dimensional user distribution models with users not only on the ground floor but also on the higher floors has been developed and implemented in the simulator. The models all account for the change in path loss and SINR to be expected and have been compared in computational time and credibility. The simulations show that by the use of such a three dimensional model there is a significant improvement at low loads but at high loads the interference becomes dominant and the results show a deterioration and approaches the results of the ordinary two dimensional model. The seventh and last model to be investigated shows a desirable computational speed that still does not compromise too much with the accuracy and detailing of the model and is therefore recommended for normal use.
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Ma, Ping. "The implementation of a 3D-object simulator using Open-GL." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2001. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp04/MQ59335.pdf.

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Kröck, Martin. "Ein schneller 3D-Simulator zur Auslegung der Leistungsregelung am Druckwasserreaktor." Berlin dissertation.de, 2007. http://www.dissertation.de/buch.php3?buch=5089.

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Sheng-Ye, Jin. "Topographic Relief Correlated Monte Carlo 3D Radiative Transfer Simulator for Forests." 京都大学 (Kyoto University), 2017. http://hdl.handle.net/2433/225763.

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Books on the topic "3D simulator"

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Hafner, Christian. The 3D electrodynamic wave simulator: 3D MMP softwareand user's guide. Chichester: Wiley, 1993.

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Henning, Bomholt Lars, ed. The 3D electrodynamic wave simulator: 3D MMP software and user's guide. Chichester, England: Wiley, 1993.

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Christopher, Lampton, and Lampton Christopher, eds. Build your own flight sim in C++: Programming a 3D flight simulator using OOP. Corte Madera, CA: Waite Group Press, 1996.

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Birkholz, Peter. 3D-artikulatorische Sprachsynthese. Berlin: Logos-Verl., 2005.

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Interactive 3D application development: Using EON professional for creating 3D visualizations. Irvine, Calif: EON Reality, 2010.

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Wu, Yung-Chun, and Yi-Ruei Jhan. 3D TCAD Simulation for CMOS Nanoeletronic Devices. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-3066-6.

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Houlding, Simon W. 3D geosciencemodeling: Computer techniques for geological characterization. Berlin: Springer-Verlag, 1994.

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Schael, Ulrich. Erweiterte Simulation für augensicheres, bildgebendes 3D Laser Radar. Aachen: Shaker, 2004.

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AutoCAD 2014: 3D modelling. Dulles, VA: Mercury Learning and Informarion, 2014.

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Form.Z 4: 3D modelling, rendering, and animation. New York: McGraw-Hill, 2003.

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Book chapters on the topic "3D simulator"

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Masuda, Taisuke, Hirofumi Owaki, Tomohiro Kawahara, and Fumihito Arai. "Bionic Simulator Based on Organ-Explant-Chip." In Hyper Bio Assembler for 3D Cellular Systems, 285–94. Tokyo: Springer Japan, 2015. http://dx.doi.org/10.1007/978-4-431-55297-0_18.

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Fujinaga, M., T. Kunikiyo, T. Uchida, K. Kamon, N. Kotani, and T. Hirao. "Three-Dimensional Integrated Process Simulator: 3D-MIPS." In Simulation of Semiconductor Devices and Processes, 143–46. Vienna: Springer Vienna, 1995. http://dx.doi.org/10.1007/978-3-7091-6619-2_33.

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Tonello, Stefano, Guido Piero Zanetti, Matteo Finotto, Roberto Bortoletto, Elisa Tosello, and Emanuele Menegatti. "WorkCellSimulator: A 3D Simulator for Intelligent Manufacturing." In Simulation, Modeling, and Programming for Autonomous Robots, 311–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34327-8_29.

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Karangelis, Grigorios, Nikolaos Zamboglou, Dimos Baltas, and Georgios Sakas. "EXOMIO: A 3D Simulator for External Beam Radiotherapy." In Eurographics, 351–62. Vienna: Springer Vienna, 2001. http://dx.doi.org/10.1007/978-3-7091-6756-4_24.

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Redpath, Richard, Jon Timmis, and Martin A. Trefzer. "Introducing a 3D Physics Simulation Plugin for the ARGoS Robot Simulator." In Towards Autonomous Robotic Systems, 269–74. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40379-3_27.

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Fujinaga, Masato, and Norihiko Kotani. "Three-Dimensional Topography Simulator: 3D-MULSS and Its Applications." In 3-Dimensional Process Simulation, 1–29. Vienna: Springer Vienna, 1995. http://dx.doi.org/10.1007/978-3-7091-6905-6_1.

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Dias, Claudinei, Marcelo da Silva Hounsell, Maurício Aronne Pillon, and Carla Diacui Medeiros Berkenbrock. "Design and Implementation of a 3D Collaborative Telerobotic Simulator." In Lecture Notes in Computer Science, 207–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23801-7_16.

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Jing, Qianfeng, Yong Yin, Wei You, Xiaoxi Zhang, and Xiaochen Li. "Realization of 3D Sound Effect System in Navigation Simulator." In Communications in Computer and Information Science, 306–18. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6502-6_27.

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Kandpal, Suresh, M. P. S. Fernando, A. S. Pradhan, P. N. Prasad, and A. K. Balasubrahmanian. "3D Kinetic Model for Simulation in Real Time for Full-Scope Simulator." In Advances in Energy Research, Vol. 2, 655–67. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2662-6_59.

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Bouaricha, Ali, and Stephan Mueller. "A portable parallel implementation of a 3D semiconductor device simulator." In Euro-Par'97 Parallel Processing, 840–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0002823.

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Conference papers on the topic "3D simulator"

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Gonza´lez, Manuel, Alberto Luaces, Daniel Dopico, and Javier Cuadrado. "A 3D Physics-Based Hydraulic Excavator Simulator." In ASME-AFM 2009 World Conference on Innovative Virtual Reality. ASMEDC, 2009. http://dx.doi.org/10.1115/winvr2009-734.

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The actuation of hydraulic excavators is a complex and not intuitive task which requires long and costly training periods, since the qualification of the operator has a significant impact in productivity and safety. Simulation-based training combined with virtual reality is becoming a competitive alternative to traditional training to reduce costs and risks in the instruction of excavator operators. Several excavator training simulators have been developed, but none of them features a dynamic model of the machine complete enough to simulate all the maneuvers performed in the daily work of real excavators. The authors have applied real-time simulation techniques from multibody system dynamics to develop a full 3D physics-based excavator simulator made up of 14 rigid bodies with 17 degrees of freedom. The simulation engine includes a custom collision detection algorithm and detailed tire force and contact force models. Terrain excavation and bucket loading and unloading are also simulated. The resulting model delivers realistic real-time behavior and can simulate common events in real excavators: slipping on slope terrains, stabilizing the machine with the blade or the outriggers, using the arm for support or impulsion to avoid obstacles, etc. The simulator console has a semi-immersive virtual reality interface that emulates the excavator cabin. The operator console imitates most of the controls of the real machine cabin using low-cost standard USB input devices: steering wheel, 2 joystiks with the standard excavator functions and 2 pedals. A tactile screen replicates the digital control panel of the excavator, which lets the operator control different machine settings. A hard shell hemispherical dome of 2 m diameter is used to project the subjective view from the operator’s position. The resulting simulator, which can run in a standard PC due to its high computational efficiency, can reproduce almost all the maneuvers performed by real excavators.
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Adil, Syed Hasan, Azrina Abd Aziz, Talha Akber, Mansoor Ebrahim, Syed Saad Azhar Ali, and Kamran Raza. "3D smart city simulator." In 2017 IEEE 3rd International Symposium in Robotics and Manufacturing Automation (ROMA). IEEE, 2017. http://dx.doi.org/10.1109/roma.2017.8231826.

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Li, Xiaolei, Kevin D. Lucas, Aaron L. Swecker, and Andrzej J. Strojwas. "Metropole-3D: a rigorous 3D topography simulator." In 23rd Annual International Symposium on Microlithography, edited by Luc Van den Hove. SPIE, 1998. http://dx.doi.org/10.1117/12.310805.

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Xiaowei, Sheng, Zheng Shutao, Han Junwei, and Hao Minghui. "A 3D Sound Simulation System for Flight Simulator." In 2010 Second International Conference on Computer Modeling and Simulation (ICCMS). IEEE, 2010. http://dx.doi.org/10.1109/iccms.2010.127.

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Achkar, Roger, Georges Abou Kassem, and Hany El Khoury. "3D Simulator Using Zorb Ball." In 2014 European Modelling Symposium (EMS). IEEE, 2014. http://dx.doi.org/10.1109/ems.2014.98.

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Sheng Xiaowei, Zheng Shutao, Han Junwei, and Hao Minghui. "Development of 3D sound simulation system for flight simulator." In 2011 3rd International Conference on Computer Research and Development (ICCRD). IEEE, 2011. http://dx.doi.org/10.1109/iccrd.2011.5763905.

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Gang Chen and Jun Yang. "Research on 3D equipment training simulator." In 2010 2nd International Conference on Computer Engineering and Technology. IEEE, 2010. http://dx.doi.org/10.1109/iccet.2010.5485626.

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Luo, Xun, Jingwen Wang, Nan Liu, Zhichen Zhao, and Yichen Zhou. "YaRep: A Personal 3D Printing Simulator." In 2014 International Conference on Virtual Reality and Visualization (ICVRV). IEEE, 2014. http://dx.doi.org/10.1109/icvrv.2014.91.

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Reiners, Dirk, Carolina Cruz-Neira, and Carsten Neumann. "Photorealistic 3D omni-directional stereo simulator." In IS&T/SPIE Electronic Imaging, edited by Margaret Dolinsky and Ian E. McDowall. SPIE, 2015. http://dx.doi.org/10.1117/12.2083643.

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Taylor, Micah, and Francis Meng. "Web-based geometric acoustic simulator." In Web3D '18: The 23rd International Conference on 3D Web Technology. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3208806.3208817.

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Reports on the topic "3D simulator"

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Yang, Xi. Quasi-3D space charge simulation. Office of Scientific and Technical Information (OSTI), April 2007. http://dx.doi.org/10.2172/902539.

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Wall, Blake, and Michael Lind. Cooperative 3D Path Optimization (C3PO) Simulation. Fort Belvoir, VA: Defense Technical Information Center, November 2015. http://dx.doi.org/10.21236/ada627595.

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Waltz, Jacob I. A new efficient approach for 3D hydrodynamics simulation. Office of Scientific and Technical Information (OSTI), April 2015. http://dx.doi.org/10.2172/1178717.

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Wang, Cheng, Chi-Wang Shu, Wenhu Han, and Jianguo Ning. High Resolution WENO Simulation of 3D Detonation Waves. Fort Belvoir, VA: Defense Technical Information Center, February 2012. http://dx.doi.org/10.21236/ada557716.

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Kim, Dong-Eun. Perception of Size Variations in 3D Virtual Garment Simulation. Ames: Iowa State University, Digital Repository, 2013. http://dx.doi.org/10.31274/itaa_proceedings-180814-461.

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Arimatsu, Kanjo, Shingo Ito, Tadashi Tsurushima, Taro Sakai, Toyoki Iguchi, Atsushi Teraji, and Naohisa Mamiya. Application of 3D Combustion Simulation (UCFM) for Production Design. Warrendale, PA: SAE International, September 2005. http://dx.doi.org/10.4271/2005-08-0459.

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Prescott, Steven, Diego Mandelli, Ramprasad Sampath, Curtis Smith, and Linyu Lin. 3D Simulation of External Flooding Events for the RISMC Pathway. Office of Scientific and Technical Information (OSTI), September 2015. http://dx.doi.org/10.2172/1244638.

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Yomoda, Nobuyuki, Masahiko Kubo, and Norihiko Watanabe. Coupling of 1D and 3D Flow Simulation Models for Engine Cooling. Warrendale, PA: SAE International, September 2005. http://dx.doi.org/10.4271/2005-08-0463.

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Park, W., Z. Chang, E. Fredrickson, G. Y. Fu, N. Pomphrey, H. R. Strauss, and L. E. Sugiyama. 3D simulation studies of tokamak plasmas using MHD and extended-MHD models. Office of Scientific and Technical Information (OSTI), January 1997. http://dx.doi.org/10.2172/304170.

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Prescott, Steven, Ramprasad Sampath, Curtis Smith, and Tony Koonce. Prototype Development Capabilities of 3D Spatial Interactions and Failures During Scenario Simulation. Office of Scientific and Technical Information (OSTI), September 2014. http://dx.doi.org/10.2172/1166044.

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