Search


PDF Archive search engine
Last database update: 27 July at 03:23 - Around 76000 files indexed.


Show results per page

Results for «nearest»:


Total: 200 results - 0.071 seconds

Fallout 3 Wasteland Checklist 100%

F ALLOUT 3 W ASTELAND C HECKLIST By Logea  Version 1.2  February 21, 2018 Part I  Main Areas Name:__________________________________________  Main quests, listed under the nearest area in story order  Some main quests can be skipped with a speech check and completed later Build:_________________________________________ Playthrough:___________________________________  Side quests that are not listed on the Pip Boy.

https://www.pdf-archive.com/2018/02/21/fallout-3-wasteland-checklist/

21/02/2018 www.pdf-archive.com

Fallout 3 Wasteland Checklist v2.1 99%

F ALLOUT 3 W ASTELAND C HECKLIST By Logea  Version 2.1  February 22, 2018 Part I  Main Areas Name:__________________________________________  Main quests, listed under the nearest area in story order  Some main quests can be skipped with a speech check and completed later Build:_________________________________________ Playthrough:___________________________________  Side quests that are not listed on the Pip Boy.

https://www.pdf-archive.com/2018/02/22/fallout-3-wasteland-checklist-v2-1/

22/02/2018 www.pdf-archive.com

KMeansRE 94%

In particular, we’ll thoroughly discuss about the essentials of the k-means clustering procedure as well as K-Means Clustering Algorithm Fundamentals In general, k-means algorithm provides a solution to the trivial classification problem by splitting up a certain dataset into k - clusters, each one containing a number of the most similar data items (or just “observations”) arranged into a cluster based on a minima distance to the nearest “mean”, which, in turn, is being a “prototype” of the following cluster.

https://www.pdf-archive.com/2016/12/13/kmeansre/

13/12/2016 www.pdf-archive.com

MAT143Sc8.1pdf 94%

6̅% = 17% (to nearest whole percent) = 16.7% (to the nearest tenth of a percent) = 16.67% (to the nearest hundredth of a percent) = 16.667% (to the nearest thousandth of a percent).

https://www.pdf-archive.com/2016/05/19/mat143sc8-1pdf/

19/05/2016 www.pdf-archive.com

Collaborative recommendation 90%

-1- Agenda  Collaborative Filtering (CF) – – – – – – – – – – – Pure CF approaches User-based nearest-neighbor The Pearson Correlation similarity measure Memory-based and model-based approaches Item-based nearest-neighbor The cosine similarity measure Data sparsity problems Recent methods (SVD, Association Rule Mining, Slope One, RF-Rec, …) The Google News personalization engine Discussion and summary Literature -2- Collaborative Filtering (CF)  The most prominent approach to generate recommendations – used by large, commercial e-commerce sites – well-understood, various algorithms and variations exist – applicable in many domains (book, movies, DVDs, ..)  Approach – use the "wisdom of the crowd"

https://www.pdf-archive.com/2015/11/05/collaborative-recommendation/

05/11/2015 www.pdf-archive.com

WUS inventory sheet 86%

Converting pounds (lb) to weight units (u) As the definition of weight unit (u) goes, it suffice to divide the weight in pounds (lb) by four and round to the nearest integer.

https://www.pdf-archive.com/2018/08/27/wus-inventory-sheet/

27/08/2018 www.pdf-archive.com

May 2012 Newsletter 83%

¼ handicap index Register a team of 2 players Members AED 250 (per person for all 10 matches) Guests AED 500 (per person for all 10 matches) Includes 1 house beverage voucher per person per event Weekly prizes for nearest the pin and lowest pairs score 10 matches with your 8 best scores to count Grand final for the top 8 teams on the 8th October Summer Open 2012 Saturday, 16th June 8 am and 2 pm Shotgun Start Tournament Format Summer Open 2012 • • • • • • Individual Full Handicap Stableford Golfers play using their full handicap index The tournament is open to Amateur golfers only Entries will be taken on a first come first serve basis 8am and 2pm Shotgun Start Closing date for entries – 9th June Entry Fees • • • • Members:

https://www.pdf-archive.com/2012/04/26/may-2012-newsletter/

26/04/2012 www.pdf-archive.com

DAVID LIVINGSTON CRAWLER HAULER 80%

TO SERVE YOU, CALL FOR YOUR NEAREST LOCATION 800/978-7223 Proposal ID:

https://www.pdf-archive.com/2016/10/11/david-livingston-crawler-hauler/

11/10/2016 www.pdf-archive.com

Large Breed Dog Rescue Walks 2012 Flyer 80%

www.largebreeddogrescue.com Kent Walks 2012 How to Get There MOTE PARK, MAIDSTONE JESKYNS COUNTRY PARK, COBHAM CAPSTONE COUNTRY PARK, GILLINGHAM School Lane Entrance, South Side Nearest Postcode ME15 8DU Henhurst Road Nearest Postcode DA12 3AN Capstone Road (next to Ski Centre) Nearest Postcode ME7 3JH Orange arrow shows the meeting point Turn west off Willington Street into School Lane and the car park is a short distance along on the right.

https://www.pdf-archive.com/2011/12/15/large-breed-dog-rescue-walks-2012-flyer/

15/12/2011 www.pdf-archive.com

Large Breed Dog Rescue Walks 2012 Flyer 79%

@LBDRescue http://twitter.com/#!/LBDRescue Kent Walks 2012 How to Get There MOTE PARK, MAIDSTONE JESKYNS COUNTRY PARK, COBHAM CAPSTONE COUNTRY PARK, GILLINGHAM School Lane Entrance, South Side Nearest Postcode ME15 8DU Henhurst Road Nearest Postcode DA12 3AN Capstone Road (next to Ski Centre) Nearest Postcode ME7 3JH Orange arrow shows the meeting point Turn west off Willington Street into School Lane and the car park is a short distance along on the right.

https://www.pdf-archive.com/2011/12/16/large-breed-dog-rescue-walks-2012-flyer/

16/12/2011 www.pdf-archive.com

An omnidirectional image unwrapping approach ID221 78%

To overcome this problem we present an improvement of this technique using nearest-neighbor interpolation method.

https://www.pdf-archive.com/2014/02/19/an-omnidirectional-image-unwrapping-approach-id221/

19/02/2014 www.pdf-archive.com

InstagramFiltersReport 77%

We therefore the following features have the most impact on filter or 100 nearest points, whichever is higher.

https://www.pdf-archive.com/2016/07/01/instagramfiltersreport/

01/07/2016 www.pdf-archive.com

Waddow Cottage Welcome Information 77%

Saunders’ Lane, Preston, Lancashire, PR4 5SB Nearest hospital:

https://www.pdf-archive.com/2018/04/27/waddow-cottage-welcome-information/

27/04/2018 www.pdf-archive.com

QPP Syphilis Campaign 77%

QU EE N S L A N D P O SI T IV E P E OP L E SIN C E 1 9 8 9 Your doctor can provide a test, or find your nearest sexual health service here:

https://www.pdf-archive.com/2016/10/31/qpp-syphilis-campaign/

31/10/2016 www.pdf-archive.com

JULIAN DAY - Disco Demolition - A 77%

Hold two mallets in right hand, alternating hitting the end of the bar nearest to you:

https://www.pdf-archive.com/2016/02/02/julian-day-disco-demolition-a/

02/02/2016 www.pdf-archive.com

Basic Math - 2007 - F2 (1) 76%

Estimate 521 to the nearest hundreds and 29 to the nearest tens.

https://www.pdf-archive.com/2017/09/07/basic-math-2007-f2-1/

07/09/2017 www.pdf-archive.com

NVG589FixerWriteup-READMEE!!! 75%

Make sure that you are plugged in to your router with an ethernet cable NOT in the slot  nearest the cable jack.  3.

https://www.pdf-archive.com/2016/06/11/nvg589fixerwriteup-readmee/

11/06/2016 www.pdf-archive.com

ECO TREKS GOA enrolment form 75%

I am aware that only first aid is available on camp site and in case of any injury or sickness, I am ready to take medical treatment from doctor / attendant, if available on camp site and /or from the nearest available medical centre / hospital.

https://www.pdf-archive.com/2014/03/06/eco-treks-goa-enrolment-form/

06/03/2014 www.pdf-archive.com

Guide du festivalier 2017 EN 75%

The nearest cash machine to Moon is located at avenue de la Gare 1, 3963 Crans-Montana and the nearest to Cry d’Er – Club d’Altitude is located at Rue Centrale 33, 3963 Crans-Montana.

https://www.pdf-archive.com/2017/04/04/guide-du-festivalier-2017-en/

04/04/2017 www.pdf-archive.com

Shipping UPS 74%

To find the location nearest you, please visit the 'Find Locations' Quick link at ups.com.

https://www.pdf-archive.com/2017/08/21/shipping-ups/

21/08/2017 www.pdf-archive.com

User Manual 74%

iLoveCoffee07  Confirm password – must match Password exactly  Birthday – use the calendar menu to select  Weight – users weight in pounds rounded to nearest whole number o Example:

https://www.pdf-archive.com/2016/12/12/user-manual/

12/12/2016 www.pdf-archive.com

CampaignBook-Screen 73%

+“Disable Sensor Net” @ Reshuffle 2) Nearest Enemy 4 2 Select Maneuver Increase your agility value by 1.

https://www.pdf-archive.com/2016/02/15/campaignbook-screen/

15/02/2016 www.pdf-archive.com

CCM agreement and consent form 72%

___________________________ Consent of Legal Guardian, Patient Advocate or Nearest Relative if patient is unable to sign Consent of Practitioner or Caregiver if patient is unable to sign Name of Legal Guardian, Patient Advocate, Nearest Relative or Other:

https://www.pdf-archive.com/2016/11/30/ccm-agreement-and-consent-form/

30/11/2016 www.pdf-archive.com

dissertation 71%

  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

Old-Dessauer-SYW-15mm 70%

If all of a steady cavalry unit’s combat opponents retreat, it may make an attack move to contact the nearest eligible, visible enemy unit in reach.

https://www.pdf-archive.com/2014/05/13/old-dessauer-syw-15mm/

13/05/2014 www.pdf-archive.com