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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.

https://www.pdf-archive.com/2012/11/04/wideband-spice-compatible-modeling-of-packages-schmidt-szalowski-nxp-slides-with-notes/

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

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