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Jesus was a Patch 100%

Jesus was a "Patch"?

https://www.pdf-archive.com/2016/11/03/jesus-was-a-patch/

03/11/2016 www.pdf-archive.com

MiniSimUserGuide-v17 99%

With its partnerships with NHTSA and other agencies, NADS has developed some of the most realistic vehicle driving simulations available anywhere in the world.

https://www.pdf-archive.com/2016/03/05/minisimuserguide-v17/

05/03/2016 www.pdf-archive.com

Energy-Saving-Residential-Buildings 99%

In fact, we are interested in how to deal with all user behavior aspects so that these computer simulations can provide a realistic framework for testing alternative policies for energy saving.

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%

These operational-strategic scale simulations draw upon open source analysis of Russia’s post-Cold War Zapad Exercises, reflecting new thinking on warfare to create the operational threat against which Western players contend.

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

2012 devinli biophysj 96%

Here, we combine protein engineering, single-molecule force spectroscopy, and steered molecular dynamics simulations to systematically investigate the mechanical response of a small globular protein GB1.

https://www.pdf-archive.com/2012/12/13/2012-devinli-biophysj/

13/12/2012 www.pdf-archive.com

Energy-Saving-Controllers 95%

Due to the high costs of live research, performance simulations have become a widely accepted method of assessment for the quality of energy and environmental impact strategies.

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%

Il a une longue expérience de mise en place et de conduite de simulations de négociations européennes dans les domaines communautaire et de la Politique étrangère et de sécurité commune, tant au niveau universitaire que pour des fonctionnaires de diverses administrations.

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 tried to keep the gain as low as  possible while still matching path during simulations.     Steering Controller 1    b a K = mL ( Caf - Car )  ΔΨ ss​ = k( δ FF​ = δ rad​ = K la xla C af K - C la af maU x 2 LCar - b)  2​ ΔΨ ss​ + k(L + KU​ x​)  (e​m​ + X​la ΔΨ ) + δ FF    The control effort is dictated by combination proportional and feedforward controller.

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%

To facilitate the use of this device in different simulations and studied, a phasor model is established and used to analyse the impact of this device using matlab/Simulink software.

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%

The current project completed the measurement campaign, provided a use-case analysis, and refined the design and associated simulations for the kiloton-scale detector.

https://www.pdf-archive.com/2017/11/23/remote-reactor-monitoring-784480/

23/11/2017 www.pdf-archive.com

14 P 219-sanjay Mar16 94%

Bulletin of Electrical Engineering and Informatics ISSN:

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%

Hull University War Studies Society is a pioneer regarding interactive crisis simulations.

https://www.pdf-archive.com/2017/05/03/baltic-crisis-simulation-2017-concept-paper/

03/05/2017 www.pdf-archive.com

Report performance analysis AC 92%

The custom type boundary condition is used in this simulations.

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