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Jesus was a Patch 100%
http://www.popsci.com/elon-musk-says-we-could-be-simulation In short, Musk argues that it is likely that everything we know to exist, everything in the world, in our universe - is a simulation - a “matrix-like” existence.
https://www.pdf-archive.com/2016/11/03/jesus-was-a-patch/
03/11/2016 www.pdf-archive.com
MiniSimUserGuide-v17 99%
84 NADS MiniSim™ User’s Guide Page 3 Introduction Located on the University of Iowa’s Research Park, the National Advanced Driving Simulator (NADS) is committed to the goal of pursuing the state-of-the-art in driving simulation research and development.
https://www.pdf-archive.com/2016/03/05/minisimuserguide-v17/
05/03/2016 www.pdf-archive.com
Energy-Saving-Residential-Buildings 99%
Realistic user behavior modeling for energy saving in residential buildings Jorge Martinez-Gil, Georgios Chasparis, Bernhard Freudenthaler, Thomas Natschlaeger Software Competence Center Hagenberg GmbH Softwarepark 21, 4232 Hagenberg, Austria {jorge.martinez-gil, georgios.chasparis, bernhard.freudenthaler, thomas.natschlaeger}@scch.at Abstract—Due to the high costs of live research, performance simulation has become a widely accepted method of assessment for the quality of proposed solutions in this field.
https://www.pdf-archive.com/2018/05/07/energy-saving-residential-buildings/
07/05/2018 www.pdf-archive.com
00 NGW Center Seminars 27, 28 Feb 2018 98%
The Institute for Statecraft Background to the Simulation Seminars Over the past two years, a team of consultants to The Potomac Foundation in the US developed a computer assisted operational-strategic simulation for theatre war in northeastern Europe.
https://www.pdf-archive.com/2018/12/13/00-ngw-center-seminars-27-28-feb-2018/
13/12/2018 www.pdf-archive.com
wideband spice-compatible modeling of packages schmidt-szalowski nxp slides with notes 98%
A direct use of such a model in the circuit analysis is limited to linear simulations in the frequency domain and, if accurate enough, in the non-linear DC simulation.
04/11/2012 www.pdf-archive.com
timetable 29-8-2017 97%
Knippenburg (FBE) Business Process Simulation Business Process Simulation Business Process Simulation Treasury Management Project FMB 4.090 FMB 4.090 FMB 4.090 FMB 0.044 08:30 - 12:40 08:30 - 12:40 08:30 - 12:40 08:30 - 11:00 C.T.
https://www.pdf-archive.com/2017/08/29/timetable-29-8-2017/
28/08/2017 www.pdf-archive.com
2012 devinli biophysj 96%
Graham and Best (27) have identified two classes of pulling axes based on force-dependent unfolding kinetics from simulation on GB1 using a coarse-grained G o-like model.
https://www.pdf-archive.com/2012/12/13/2012-devinli-biophysj/
13/12/2012 www.pdf-archive.com
Medical Simulation App - Level EX 95%
3/31/2017 www.anesthesiologynews.com/Article/PrintArticle?articleID=40568 Technology MARCH 21, 2017 Medical Simulation App Facilitates Intubation Training Chicago—A free gaming application downloaded to mobile devices allows anesthesiologists to try their skills at a variety of airway procedures, without needing hardware.
https://www.pdf-archive.com/2017/04/25/medical-simulation-app-level-ex/
25/04/2017 www.pdf-archive.com
Energy-Saving-Controllers 95%
Framework for fast prototyping of energy-saving controllers Jorge Martinez-Gil, Georgios Chasparis, Andreas Boegl, Christa Illibauer, Bernhard Freudenthaler, Thomas Natschlaeger Software Competence Center Hagenberg GmbH Softwarepark 21, 4232 Hagenberg, Austria {jorge.martinez-gil, georgios.chasparis, andreas.boegl, christa.illibauer, bernhard.freudenthaler, thomas.natschlaeger}@scch.at Abstract—Due to the high costs of live research, performance simulation has become a widely accepted method of assessment for the quality of proposed solutions in the field of energy saving.
https://www.pdf-archive.com/2018/05/07/energy-saving-controllers/
07/05/2018 www.pdf-archive.com
Francu valodas seminars 14 15 novembri 95%
Renforcer la connaissance de l’administration lettone sur le processus de décision européen mais également leur compétence en négociation à travers un jeu de simulation du Conseil de l’UE.
https://www.pdf-archive.com/2013/10/30/francu-valodas-seminars-14-15-novembri/
30/10/2013 www.pdf-archive.com
ME 227 Midterm Report 95%
We developed the value for our gain by testing different values in simulation.
https://www.pdf-archive.com/2018/10/22/me-227-midterm-report/
22/10/2018 www.pdf-archive.com
02 26Nov15 598-1031-1-SM 95%
The phasor model has enough advantages like using the SMES without need detailed model that contains the electronic power converter and therefore minimize the simulation time.
https://www.pdf-archive.com/2016/09/25/02-26nov15-598-1031-1-sm/
25/09/2016 www.pdf-archive.com
Remote Reactor Monitoring 784480 94%
LLNL-TR-663012 Remote Reactor Monitoring A.
https://www.pdf-archive.com/2017/11/23/remote-reactor-monitoring-784480/
23/11/2017 www.pdf-archive.com
reddit resume 94%
3.28 February 2015 – December 2015 WORK EXPERIENCE Research Lab | Research Assistant—City, State August 2017 – Present • Created distinct virtual reality environments using Unity for the use of animal behavior testing and analysis • Worked closely with lab faculty to implement new data tables through MATLAB for animal behavior analysis • Used MATLAB to setup behavioral data collection and project virtual reality environments onto Android OS tablets Company | Software Engineering Intern—City, State June 2013 – August 2013 • Learned Use Case design and UML using Visual Paradigm to model embedded systems • Worked with the Raspberry Pi to get an idea of the tasks and expectations of a software engineer • Worked closely with fellow interns in organizing events and activities for other peers Restaurant | Crew Member—City, State February 2016 – September 2016 • Expanded interpersonal and communication skills through serving customers and working with peers • Drafted documents on rules and regulations to effectively enforce employee policy • Assisted in back-of-house work, such as managing inventory of ingredients as well as various kitchen prep tasks PROJECTS Platformer Game | Programmer/Designer January 2017 – June 2017 • Developed a platformer game using C# on the Unity engine in a small team of five • Coded various gameplay mechanics such as win/lose conditions, platform mechanisms, enemy AI and specific camera control elements through utilization of the Unity API • Planned and designed nine increasingly difficult levels based off gameplay physics CLASS PROJECTS Virtual Memory System | Projects in Operating Systems • Implemented a simulated virtual memory system in Java through usage of segmentation and paging • Used bit manipulation operations on virtual addresses to derive segment number, page number, and offset components • Implemented a translation look-aside buffer to process repeat addresses, effectively optimizing run-time speed Train Unloading Dock Simulator | Computer Simulation • Learned how to model elements of discrete, stochastic simulation such as server status control, discrete-type clock advancement, and multi-threaded event handling by developing a simulation program in C++ • Developed and used statistical data output such as server utilization and average idle time per entity to determine and analyze simulation accuracy, a system confidence interval, and the point of system overload SKILLS Languages:
https://www.pdf-archive.com/2017/11/29/reddit-resume/
29/11/2017 www.pdf-archive.com
14 P 219-sanjay Mar16 94%
The paper covers the process and device level simulation of MOSFETs by TCAD and the substrate current comparison in lightly and heavily doped MOS.
https://www.pdf-archive.com/2016/09/25/14-p-219-sanjay-mar16/
25/09/2016 www.pdf-archive.com
Baltic-Crisis-Simulation-2017-Concept-Paper 94%
Baltic States Crisis Simulation GREY ZONE CRISIS SIMULATION 6-7TH APRIL 2017 – UNIVERSITY OF HULL BRETT THOMAS UNIVERSITY OF HULL WAR STUDIES SOCIETY 0|Page Not for Academic Usage Table of Contents Introduction ........................................................................................................................................
https://www.pdf-archive.com/2017/05/03/baltic-crisis-simulation-2017-concept-paper/
03/05/2017 www.pdf-archive.com
Thomas Snell Curriculum Vitae Current 94%
10/2014 – 9/2018 (Planned) Numerical Simulation of Fluid Overpressure Driven Faulting and Seismicity within Low Porosity Seal and Tight Reservoir Rocks • Bachelor of Physics:
https://www.pdf-archive.com/2018/04/30/thomas-snell-curriculum-vitae-current/
30/04/2018 www.pdf-archive.com
DAB Antenne 6-Element, Entwurf nach DK7ZB, YA-Simulation 94%
Die nachfolgenden Bilder stellen die Ergebnisse der Simulation mit dem uralten, aber sehr guten DOS-Programm "YA"
https://www.pdf-archive.com/2016/06/07/dab-antenne-6-element-entwurf-nach-dk7zb-ya-simulation/
07/06/2016 www.pdf-archive.com
DAB Antenne DAB5+, Hersteller Ring, YA-Simulation 93%
Die nachfolgenden Bilder stellen die Ergebnisse der Simulation anhand der realen Abmessungen der Antenne mit dem uralten, aber sehr guten DOS-Programm "YA"
https://www.pdf-archive.com/2016/06/07/dab-antenne-dab5-hersteller-ring-ya-simulation/
07/06/2016 www.pdf-archive.com
CSB NN slides 93%
https://www.pdf-archive.com/2016/06/16/csb-nn-slides/
16/06/2016 www.pdf-archive.com
venkatraman full-time-reusme 93%
applied CFD · Computational methods · Turbulence · Thermodynamics · Heat and mass transfer · Rocket propulsion · Refrigeration and Air-Conditioning · Aircraft propulsion PROJECTS RELATED TO CFD Numerical simulation of entrainment process at the base of truncated aerospike Nozzles-Thesis.
https://www.pdf-archive.com/2017/10/04/venkatraman-full-time-reusme/
04/10/2017 www.pdf-archive.com
Report performance analysis AC 92%
Performance analysis of an air conditioner in domestic setting using CFD simulation In today’s world air conditioning is almost used everywhere for the human comfort.
https://www.pdf-archive.com/2017/05/22/report-performance-analysis-ac/
22/05/2017 www.pdf-archive.com
lamour biochem 2011 92%
Rapid Report pubs.acs.org/biochemistry Long-Time Scale Fluctuations of Human Prion Protein Determined by Restrained MD Simulations Massih Khorvash, Guillaume Lamour, and Jörg Gsponer* Centre for High-Throughput Biology and Department of Biochemistry and Molecular Biology, University of British Columbia, East Mall, Vancouver, British Columbia V6T 1Z4, Canada S Supporting Information * parameters.4 During the restrained simulation, a pseudoenergy term penalizes deviations between experimental and simulated protection factors.
https://www.pdf-archive.com/2011/11/27/lamour-biochem-2011/
27/11/2011 www.pdf-archive.com
dissertation 92%
Modelling the flight of starlings By Simon Byford ‐ sjb17u@cs.nott.ac.uk Supervised by Dr. Jason Atkin ‐ jaa@cs.nott.ac.uk School of Computer Science University of Nottingham Submitted May 2011, in partial fulfilment of the conditions of the award of the degree: BSc (Hons) Mathematics and Computer Science I hereby declare that this dissertation is all my own work, except as indicated in the text Signature: May 6th, 2011 Abstract A project was undertaken to build a software model capable of accurately simulating the flocking behaviour of starlings. After reviewing the relevant literature and studying the mechanics of flocking, such a model was carefully designed and implemented in the Java programming language. The model is capable of exhibiting a range of flocking behaviours with simulations comprising upwards of 200 individual birds. A great number of behavioural parameters are available to edit before and during simulations, where their effects can be viewed in real time. The ability to spawn virtual falcons as well as starlings introduces the notion of a predator which is an area largely unexplored in previous models. A number of interesting observations were made during the analysis phase of this project, including the fact that simulations employing metric and topological distances induce much the same flocking behaviour, and that the application can typically handle simulations comprising up to 500 individual birds before experiencing significant drops in performance. In summary, the project was deemed highly successful and a number of possible future extensions were proposed. 1 Table of contents Abstract ................................................................................................................................................... 1 1 ‐ Introduction and motivation .............................................................................................................. 5 1.1 ‐ Aims and objectives .................................................................................................................... 5 1.2 ‐ Motivation .................................................................................................................................. 6 2 ‐ Related work ...................................................................................................................................... 7 2.1 ‐ Literature .................................................................................................................................... 7 2.1.1 ‐ Flocks, Herds, and Schools: A Distributed Behavioral Model .............................................. 7 2.1.2 ‐ An empirical study of large, naturally occurring starling flocks: a benchmark in collective animal behaviour ............................................................................................................................ 8 2.1.3 ‐ Self‐organised complex aerial displays of thousands of starlings: a model ........................ 8 2.1.4 ‐ Interaction ruling animal collective behavior depends on topological rather than metric distance: Evidence from a field study ............................................................................................. 9 2.1.5 ‐ Steering Behaviors for Autonomous Characters ................................................................. 9 2.1.6 ‐ An efficient algorithm to find k‐nearest neighbours in flocking behaviour ....................... 10 2.1.7 ‐ Aerial flocking patterns of wintering starlings, Sturnus vulgaris, under different predation risk ................................................................................................................................................. 10 2.1.8 ‐ Parallel Bird Flocking Simulation ........................................................................................ 10 2.1.9 ‐ Simulating and Visualizing Natural Flocking Behaviour ..................................................... 11 2.1.10 ‐ Less related work ............................................................................................................. 11 2.2 ‐ Models ...................................................................................................................................... 12 2.2.1 ‐ Boids model ....................................................................................................................... 12 2.2.2 ‐ NetLogo Flocking model .................................................................................................... 13 2.2.3 ‐ 3D Flocking Boids II ............................................................................................................ 14 2.3 ‐ Other sources ............................................................................................................................ 14 3 ‐ Some theory ..................................................................................................................................... 15 3.1 ‐ The three urges ......................................................................................................................... 15 3.1.1 ‐ Separation .......................................................................................................................... 15 3.1.2 ‐ Alignment ........................................................................................................................... 15 3.1.3 ‐ Cohesion ............................................................................................................................ 15 3.2 ‐ Additional urges ........................................................................................................................ 16 3.2.1 ‐ Predator avoidance ............................................................................................................ 16 3.2.2 ‐ Randomness ....................................................................................................................... 16 3.2.3 ‐ Migration and obstacle avoidance ..................................................................................... 16 3.3 ‐ Combining urges ....................................................................................................................... 17 2 3.4 ‐ Steering processing chains ........................................................................................................ 18 3.4.1 ‐ Falcons ............................................................................................................................... 19 3.4.2 ‐ Starlings .............................................................................................................................. 20 3.5 ‐ Metric vs topological distance .................................................................................................. 21 4 ‐ Description of the work ................................................................................................................... 23 5 ‐ Design............................................................................................................................................... 26 5.1 ‐ Language, libraries and platform .............................................................................................. 26 5.2 ‐ Prototyping ............................................................................................................................... 27 5.3 ‐ GUI Design................................................................................................................................. 28 5.4 ‐ Class diagram ............................................................................................................................ 31 6 ‐ Implementation ............................................................................................................................... 32 6.1 ‐ Design changes ......................................................................................................................... 32 6.1.1 ‐ Awareness circle ................................................................................................................ 32 6.1.2 ‐ Save/load functionality ...................................................................................................... 33 6.1.3 ‐ Removal of viewing angle attribute ................................................................................... 33 6.1.4 ‐ Anti‐aliasing ....................................................................................................................... 33 6.1.5 ‐ FPS counter ........................................................................................................................ 34 6.1.6 ‐ Sizable window .................................................................................................................. 34 6.2 ‐ Classes ....................................................................................................................................... 35 6.2.1 ‐ AwarenessCircle ................................................................................................................. 35 6.2.2 ‐ Bird ..................................................................................................................................... 35 6.2.3 ‐ DynamicSimProperties ....................................................................................................... 36 6.2.4 ‐ FPSCounter......................................................................................................................... 36 6.2.5 ‐ Falcon ................................................................................................................................. 37 6.2.6 ‐ FlockManager .................................................................................................................... 38 6.2.7 ‐ GUIPanel ............................................................................................................................ 41 6.2.8‐ SimDims .............................................................................................................................. 42 6.2.9‐ SimulationManager ............................................................................................................ 42 6.2.10 ‐ SimulationPanel ............................................................................................................... 43 6.2.11 ‐ Starling ............................................................................................................................. 43 6.2.12 ‐ StaticSimProperties .......................................................................................................... 44 6.2.13 ‐ Window ............................................................................................................................ 44 6.3 ‐ Algorithms of interest ............................................................................................................... 46 6.3.1 ‐ Calculating the distance between birds ............................................................................. 46 3 6.3.2 ‐ Calculating the average bearing ........................................................................................ 47 6.3.3 ‐ Calculating the nearest n birds (topological distance) ...................................................... 49 6.3.4 ‐ Drawing the "awareness circle" ......................................................................................... 50 6.4 ‐ Notable problems faced ........................................................................................................... 51 6.4.1 ‐ Bias towards flocking in one particular direction .............................................................. 51 6.5 ‐ Testing ....................................................................................................................................... 52 6.5.1 ‐ “Continuous testing”.......................................................................................................... 52 6.5.2 ‐ Unit testing ........................................................................................................................ 52 7 ‐ Analysis and evaluation ................................................................................................................... 53 7.1 ‐ Analysis ..................................................................................................................................... 53 7.1.1 ‐ Tests involving starlings ..................................................................................................... 53 7.1.2 ‐ Tests involving starlings and falcons .................................................................................. 62 7.1.3 ‐ Metric vs topological distance ........................................................................................... 67 7.1.4 ‐ Performance testing .......................................................................................................... 68 7.2 ‐ Evaluation ................................................................................................................................. 70 8 ‐ Summary and further work .............................................................................................................. 74 8.1 ‐ Summary ................................................................................................................................... 74 8.2 ‐ Further work ............................................................................................................................. 75 8.2.1 ‐ 3D modelling ...................................................................................................................... 75 8.2.2 ‐ Obstacles ............................................................................................................................ 75 8.2.3 ‐ Walls................................................................................................................................... 75 8.2.4 ‐ More intelligent steering algorithms ................................................................................. 75 8.2.5 ‐ Larger scenes ..................................................................................................................... 76 8.2.6 ‐ Viewing angle attribute ..................................................................................................... 76 8.2.7 ‐ Collision penalty ................................................................................................................. 76 8.2.8 ‐ Wind ................................................................................................................................... 76 8.2.9 ‐ Separate behavioural attributes for falcons and starlings................................................. 77 8.2.10 ‐ Killing and evolution modelling ....................................................................................... 77 8.2.11 ‐ Variable speeds ................................................................................................................ 77 8.2.12 ‐ Migration urge ................................................................................................................. 78 8.2.13 ‐ Custom initial bird placement .......................................................................................... 78 8.2.14 ‐ Algorithmic optimisations ................................................................................................ 78 Appendix A – Related work ................................................................................................................... 79 Bibliography .......................................................................................................................................... 80 4
https://www.pdf-archive.com/2011/05/07/dissertation/
07/05/2011 www.pdf-archive.com
DIPECHO magazine 2013-07-27 92%
17 Oxfam – Kindergarten Simulation ................................................................................
https://www.pdf-archive.com/2013/10/17/dipecho-magazine-2013-07-27/
17/10/2013 www.pdf-archive.com