DESIGN OF VERTICAL ALIGNMET

Size: px
Start display at page:

Download "DESIGN OF VERTICAL ALIGNMET"

Transcription

1 DESIN OF VERTICAL ALINMET Longtudnal gradent : max 0,5% (max see the assgnment paper) Markng of longtudnal gradent n drecton of chanage: + [%].. ascent n the drecton of chanage [%].. descent n the drecton of chanage Resultng gradent m (must be verfed at each pont of the road values of mmax for hlly terran): M S 2 category S 6,5 and S 7,5... M Mmax 8,5% category S 9,5 and S 11,5... M M max 7,5% permtted mnmum value... M Mmn 0,3% recommended mnmum value... M Mmn 0,5% DESIN OF VERTICAL ALINMENT LONITUDINAL PROFILE (1 : / 100) Process of plottng the frst phase - see fg. 0100: axs (black) vertcal and horzontal (ncludng the descrpton of the chanage every 100 m 0.1; ;...) choce of reference plane (at least 8 m below the lowest ntersected contour lne respect the scale!!!) plottng the terran lne n ponts every 10 m determne the elevaton of each pont by nterpolaton from 2

2 dmensons n fg whch are measured perpendcularly to the contour lnes: dmenson B measured to the lower contour lne dmenson C measured to the hgher contour lne example from fg. 0110: terran elevaton [m] = lower contour lne + [B / (B + C)] Fg (determnng the elevaton of a pont at the centre lne n the plan)

3 Fg (longtudnal profle frst phase of plottng) plottng vertces of elevaton polygon at frst (example n fg. 0120) accordng to the followng prncples: ponts A and B have the same elevaton as the terran lne

4 vertcal algnment desgned wthout gradent lost (example of poor desgn n fg. 0130) fll (embankment) = vertcal algnment terran 10 m cut (excavaton) = terran vertcal algnment 6 m (wthout the need of geologcal assessment) other vertces (PVI1, PVI2,...) choose reasonably (take nto account the maxmum flls and cuts to balance the earthworks) Fg (desgn of elevaton polygon and vertcal curves) Fg (poor vertcal algnment desgn wth gradent lost and wthout possblty of full dranage)

5 read coordnates of vertces PVI of elevaton polygon: PVI = [chanage (St); elevaton (H)] [St] = km (5 decmal places) [H] = m (2 decmal places) calculate longtudnal gradents between each 2 vertces and +1 (at least 2 decmal places!!!) % H St 1 1 H St 10 H 1 St H 1 St verfy between all vertces PVI and PVI+1 : 0,5% max Vertcal curves vertcal curves are parabolc (dstorted): sag curve (concave) radus Rs crest curve (convex) radus Rc (stoppng sght Rc Rc,mn) add the mnmum rad of vertcal curves to the techncal report: Rc,mn... accordng to V from fg and fg (the smallest possble for stoppng sght) Rs,mn... accordng to V from fg and fg (the smallest allowed) Rs,mn and Rc,mn must be respected n the desgn!

6 Fg (scheme of crest curves) Fg (mnmum rad of crest curves) Fg (scheme of sag curves) Fg (mnmum rad of sag curves)

7 Insert and calculate vertcal curves (dmensons accordng to fg. 0180): Fg (vertcal curve basc dmensons) Fg (vertcal curve termnology)

8 Recommended procedure select t calculate Rs(c) accordng to the followng formulas: a) One-sded gradents (fg and fg. 0200) t R s(c) 1 R t 1 s(c) Fg a fg (vertcal curve one-sded gradents) b) Opposte drecton gradents (fg. 0210) t R s(c) 1 R t 1 s(c) Fg (vertcal curve opposte drecton gradents)

9 verfy (for all vertcal curves): R or R c R c, mn s R s,mn Rs or Rc desgn the greatest possble Formula for vertcal coordnate y of any pont of vertcal curve: 2 2 x t y ymax 2 R 2 R s(c) Process of plottng the second phase fg. 0100, fg and fg. 0250: Markng of gradents and vertcal algnment (ncludng chanage of all ponts A, BVC, PVI, EVC, B) fll n all the values accordng to the examples n fg. 0100, fg and fg Markng of horzontal algnment: Pay attenton to dfferent schemes for left-sded (fg. 0220) and rght-sded (fg. 0230) horzontal curve Descrpton of horzontal curves (R, c, L fg. 0240), transton curves (L, A fg. 0250), straght secton (L fg. 0250) and 6 ponts (A, TS, SC, CS, ST, B fg and fg. 0250) s(c) Fg (scheme for leftsded curve) Fg (scheme for rghtsded curve)

10 Fg (longtudnal profle example of central part)

11 Fg (longtudnal profle example of the end part)

12 Preparaton for cross-sectons, descrpton of vertcal axs (fg. 0100) measure terran elevaton (wth an accuracy of 2 decmal places) fll n accordng to the example n fg. 0250: In ponts A, BVC, PVI, EVC, B In ponts TS, SC, CS, ST In all ponts every 20 m Elaboraton of longtudnal profle 2 optons: (On graph paper) On a computer n CAD Colours n longtudnal profle fg. 0100: 1. black: vertcal and horzontal axs man chanage every 100 m (0.0; 0.4;...) base lne terran lne elevatons terran lne 2. red everythng else

VISUAL SELECTION OF SURFACE FEATURES DURING THEIR GEOMETRIC SIMULATION WITH THE HELP OF COMPUTER TECHNOLOGIES

VISUAL SELECTION OF SURFACE FEATURES DURING THEIR GEOMETRIC SIMULATION WITH THE HELP OF COMPUTER TECHNOLOGIES UbCC 2011, Volume 6, 5002981-x manuscrpts OPEN ACCES UbCC Journal ISSN 1992-8424 www.ubcc.org VISUAL SELECTION OF SURFACE FEATURES DURING THEIR GEOMETRIC SIMULATION WITH THE HELP OF COMPUTER TECHNOLOGIES

More information

R s s f. m y s. SPH3UW Unit 7.3 Spherical Concave Mirrors Page 1 of 12. Notes

R s s f. m y s. SPH3UW Unit 7.3 Spherical Concave Mirrors Page 1 of 12. Notes SPH3UW Unt 7.3 Sphercal Concave Mrrors Page 1 of 1 Notes Physcs Tool box Concave Mrror If the reflectng surface takes place on the nner surface of the sphercal shape so that the centre of the mrror bulges

More information

Introduction to Geometrical Optics - a 2D ray tracing Excel model for spherical mirrors - Part 2

Introduction to Geometrical Optics - a 2D ray tracing Excel model for spherical mirrors - Part 2 Introducton to Geometrcal Optcs - a D ra tracng Ecel model for sphercal mrrors - Part b George ungu - Ths s a tutoral eplanng the creaton of an eact D ra tracng model for both sphercal concave and sphercal

More information

3D vector computer graphics

3D vector computer graphics 3D vector computer graphcs Paolo Varagnolo: freelance engneer Padova Aprl 2016 Prvate Practce ----------------------------------- 1. Introducton Vector 3D model representaton n computer graphcs requres

More information

UNIT 2 : INEQUALITIES AND CONVEX SETS

UNIT 2 : INEQUALITIES AND CONVEX SETS UNT 2 : NEQUALTES AND CONVEX SETS ' Structure 2. ntroducton Objectves, nequaltes and ther Graphs Convex Sets and ther Geometry Noton of Convex Sets Extreme Ponts of Convex Set Hyper Planes and Half Spaces

More information

Compiler Design. Spring Register Allocation. Sample Exercises and Solutions. Prof. Pedro C. Diniz

Compiler Design. Spring Register Allocation. Sample Exercises and Solutions. Prof. Pedro C. Diniz Compler Desgn Sprng 2014 Regster Allocaton Sample Exercses and Solutons Prof. Pedro C. Dnz USC / Informaton Scences Insttute 4676 Admralty Way, Sute 1001 Marna del Rey, Calforna 90292 pedro@s.edu Regster

More information

Scan Conversion & Shading

Scan Conversion & Shading Scan Converson & Shadng Thomas Funkhouser Prnceton Unversty C0S 426, Fall 1999 3D Renderng Ppelne (for drect llumnaton) 3D Prmtves 3D Modelng Coordnates Modelng Transformaton 3D World Coordnates Lghtng

More information

Scan Conversion & Shading

Scan Conversion & Shading 1 3D Renderng Ppelne (for drect llumnaton) 2 Scan Converson & Shadng Adam Fnkelsten Prnceton Unversty C0S 426, Fall 2001 3DPrmtves 3D Modelng Coordnates Modelng Transformaton 3D World Coordnates Lghtng

More information

USING GRAPHING SKILLS

USING GRAPHING SKILLS Name: BOLOGY: Date: _ Class: USNG GRAPHNG SKLLS NTRODUCTON: Recorded data can be plotted on a graph. A graph s a pctoral representaton of nformaton recorded n a data table. t s used to show a relatonshp

More information

TEST-05 TOPIC: OPTICS COMPLETE

TEST-05 TOPIC: OPTICS COMPLETE Q. A boy s walkng under an nclned mrror at a constant velocty V m/s along the x-axs as shown n fgure. If the mrror s nclned at an angle wth the horzontal then what s the velocty of the mage? Y V sn + V

More information

REFRACTION. a. To study the refraction of light from plane surfaces. b. To determine the index of refraction for Acrylic and Water.

REFRACTION. a. To study the refraction of light from plane surfaces. b. To determine the index of refraction for Acrylic and Water. Purpose Theory REFRACTION a. To study the refracton of lght from plane surfaces. b. To determne the ndex of refracton for Acrylc and Water. When a ray of lght passes from one medum nto another one of dfferent

More information

Research on laser tracker measurement accuracy and data processing. Liang Jing IHEP,CHINA

Research on laser tracker measurement accuracy and data processing. Liang Jing IHEP,CHINA Research on laser tracker measurement accuracy and data processng Lang Jng IHEP,CHINA 214.1 1 Outlne 1. Accuracy test experment for laser tracker In the transversal drecton In the longtudnal drecton In

More information

Product Information. XY compensation unit with spring return AGE-F

Product Information. XY compensation unit with spring return AGE-F Product Informaton AGE-F AGE-F Flat. Flexble. Compact. Compensaton unt for applcatons n assembly, loadng, and unloadng of machnes and workpece carrers. The use of AGE-F makes t possble to safely grp and

More information

Local and Global Accessibility Evaluation with Tool Geometry

Local and Global Accessibility Evaluation with Tool Geometry 19 Local and Global Accessblty Evaluaton wth Tool Geometry Jnnan Wang 1, Chell A. Roberts 2 and Scott Danelson 3 1 Arzona State Unversty, wangn@asu.edu 2 Arzona State Unversty, chell.roberts@asu.edu 2

More information

Lecture #15 Lecture Notes

Lecture #15 Lecture Notes Lecture #15 Lecture Notes The ocean water column s very much a 3-D spatal entt and we need to represent that structure n an economcal way to deal wth t n calculatons. We wll dscuss one way to do so, emprcal

More information

Slide 1 SPH3UW: OPTICS I. Slide 2. Slide 3. Introduction to Mirrors. Light incident on an object

Slide 1 SPH3UW: OPTICS I. Slide 2. Slide 3. Introduction to Mirrors. Light incident on an object Slde 1 SPH3UW: OPTICS I Introducton to Mrrors Slde 2 Lght ncdent on an object Absorpton Relecton (bounces)** See t Mrrors Reracton (bends) Lenses Oten some o each Everythng true or wavelengths

More information

6.854 Advanced Algorithms Petar Maymounkov Problem Set 11 (November 23, 2005) With: Benjamin Rossman, Oren Weimann, and Pouya Kheradpour

6.854 Advanced Algorithms Petar Maymounkov Problem Set 11 (November 23, 2005) With: Benjamin Rossman, Oren Weimann, and Pouya Kheradpour 6.854 Advanced Algorthms Petar Maymounkov Problem Set 11 (November 23, 2005) Wth: Benjamn Rossman, Oren Wemann, and Pouya Kheradpour Problem 1. We reduce vertex cover to MAX-SAT wth weghts, such that the

More information

Parallelism for Nested Loops with Non-uniform and Flow Dependences

Parallelism for Nested Loops with Non-uniform and Flow Dependences Parallelsm for Nested Loops wth Non-unform and Flow Dependences Sam-Jn Jeong Dept. of Informaton & Communcaton Engneerng, Cheonan Unversty, 5, Anseo-dong, Cheonan, Chungnam, 330-80, Korea. seong@cheonan.ac.kr

More information

A high precision collaborative vision measurement of gear chamfering profile

A high precision collaborative vision measurement of gear chamfering profile Internatonal Conference on Advances n Mechancal Engneerng and Industral Informatcs (AMEII 05) A hgh precson collaboratve vson measurement of gear chamferng profle Conglng Zhou, a, Zengpu Xu, b, Chunmng

More information

Outline. Self-Organizing Maps (SOM) US Hebbian Learning, Cntd. The learning rule is Hebbian like:

Outline. Self-Organizing Maps (SOM) US Hebbian Learning, Cntd. The learning rule is Hebbian like: Self-Organzng Maps (SOM) Turgay İBRİKÇİ, PhD. Outlne Introducton Structures of SOM SOM Archtecture Neghborhoods SOM Algorthm Examples Summary 1 2 Unsupervsed Hebban Learnng US Hebban Learnng, Cntd 3 A

More information

Algorithm To Convert A Decimal To A Fraction

Algorithm To Convert A Decimal To A Fraction Algorthm To Convert A ecmal To A Fracton by John Kennedy Mathematcs epartment Santa Monca College 1900 Pco Blvd. Santa Monca, CA 90405 jrkennedy6@gmal.com Except for ths comment explanng that t s blank

More information

Airport Engineering Lectures

Airport Engineering Lectures Basc Concepts I-4 Landng & Take-off Operatons Landng & Take-off Operatons 1. Landng. 2. Take Off. Runway Length Regulaton Requrements (FAR 25 & 21) 1 I-5 Runway Length Factors affectng R/W length Components:

More information

The Greedy Method. Outline and Reading. Change Money Problem. Greedy Algorithms. Applications of the Greedy Strategy. The Greedy Method Technique

The Greedy Method. Outline and Reading. Change Money Problem. Greedy Algorithms. Applications of the Greedy Strategy. The Greedy Method Technique //00 :0 AM Outlne and Readng The Greedy Method The Greedy Method Technque (secton.) Fractonal Knapsack Problem (secton..) Task Schedulng (secton..) Mnmum Spannng Trees (secton.) Change Money Problem Greedy

More information

2x x l. Module 3: Element Properties Lecture 4: Lagrange and Serendipity Elements

2x x l. Module 3: Element Properties Lecture 4: Lagrange and Serendipity Elements Module 3: Element Propertes Lecture : Lagrange and Serendpty Elements 5 In last lecture note, the nterpolaton functons are derved on the bass of assumed polynomal from Pascal s trangle for the fled varable.

More information

The Research of Ellipse Parameter Fitting Algorithm of Ultrasonic Imaging Logging in the Casing Hole

The Research of Ellipse Parameter Fitting Algorithm of Ultrasonic Imaging Logging in the Casing Hole Appled Mathematcs, 04, 5, 37-3 Publshed Onlne May 04 n ScRes. http://www.scrp.org/journal/am http://dx.do.org/0.436/am.04.584 The Research of Ellpse Parameter Fttng Algorthm of Ultrasonc Imagng Loggng

More information

Cable optimization of a long span cable stayed bridge in La Coruña (Spain)

Cable optimization of a long span cable stayed bridge in La Coruña (Spain) Computer Aded Optmum Desgn n Engneerng XI 107 Cable optmzaton of a long span cable stayed brdge n La Coruña (Span) A. Baldomr & S. Hernández School of Cvl Engneerng, Unversty of Coruña, La Coruña, Span

More information

A DATA ANALYSIS CODE FOR MCNP MESH AND STANDARD TALLIES

A DATA ANALYSIS CODE FOR MCNP MESH AND STANDARD TALLIES Supercomputng n uclear Applcatons (M&C + SA 007) Monterey, Calforna, Aprl 15-19, 007, on CD-ROM, Amercan uclear Socety, LaGrange Par, IL (007) A DATA AALYSIS CODE FOR MCP MESH AD STADARD TALLIES Kenneth

More information

GIS: data processing Example of spatial queries. 3.1 Spatial queries. Chapter III. Geographic Information Systems: Data Processing

GIS: data processing Example of spatial queries. 3.1 Spatial queries. Chapter III. Geographic Information Systems: Data Processing GIS: data processng Chapter III Geographc Informaton Systems: Data Processng 3.1 Spatal queres 3.2 Introducton to Spatal Analyss 3.3 Spatal ndexng 3.4 Updatng 3.5 Conclusons 3.1 Spatal queres 1. Example

More information

Parallel matrix-vector multiplication

Parallel matrix-vector multiplication Appendx A Parallel matrx-vector multplcaton The reduced transton matrx of the three-dmensonal cage model for gel electrophoress, descrbed n secton 3.2, becomes excessvely large for polymer lengths more

More information

Geo-spatial Information Science 13(3): Volume 13, Issue 3 DOI /s September Article ID: (2010)

Geo-spatial Information Science 13(3): Volume 13, Issue 3 DOI /s September Article ID: (2010) Geo-spatal Informaton Scence 13(3):157-165 Volume 13, Issue 3 DOI 10.1007/s11806-010-0334-6 September 2010 Artcle ID: 1009-5020(2010)03-157-09 Document code: A Transformaton Method of Exteror Orentaton

More information

Complex Numbers. Now we also saw that if a and b were both positive then ab = a b. For a second let s forget that restriction and do the following.

Complex Numbers. Now we also saw that if a and b were both positive then ab = a b. For a second let s forget that restriction and do the following. Complex Numbers The last topc n ths secton s not really related to most of what we ve done n ths chapter, although t s somewhat related to the radcals secton as we wll see. We also won t need the materal

More information

Support Vector Machines

Support Vector Machines /9/207 MIST.6060 Busness Intellgence and Data Mnng What are Support Vector Machnes? Support Vector Machnes Support Vector Machnes (SVMs) are supervsed learnng technques that analyze data and recognze patterns.

More information

Alufix Expert D Design Software #85344

Alufix Expert D Design Software #85344 238 ALUFIX SOFTWARE Alufx Expert 2014 3D Desgn Software #85344 Alufx Expert software makes automatc desgns for fxtures wth correspondng partlsts. You choose the system and defne clampng ponts. The software

More information

Learning the Kernel Parameters in Kernel Minimum Distance Classifier

Learning the Kernel Parameters in Kernel Minimum Distance Classifier Learnng the Kernel Parameters n Kernel Mnmum Dstance Classfer Daoqang Zhang 1,, Songcan Chen and Zh-Hua Zhou 1* 1 Natonal Laboratory for Novel Software Technology Nanjng Unversty, Nanjng 193, Chna Department

More information

Dynamic wetting property investigation of AFM tips in micro/nanoscale

Dynamic wetting property investigation of AFM tips in micro/nanoscale Dynamc wettng property nvestgaton of AFM tps n mcro/nanoscale The wettng propertes of AFM probe tps are of concern n AFM tp related force measurement, fabrcaton, and manpulaton technques, such as dp-pen

More information

FIBARO WALL PLUG OPERATING MANUAL FGBWHWPE-102/FGBWHWPF-102 CONTENTS

FIBARO WALL PLUG OPERATING MANUAL FGBWHWPE-102/FGBWHWPF-102 CONTENTS OPERATING MANUAL EN FIBARO WALL PLUG FGBWHWPE-102/FGBWHWPF-102 CONTENTS #1: Descrpton and features 3 #2: Parng the accessory 4 #3: Reset 5 #4: Functonalty 6 v1.0 #5: W-F 8 #6: Confgurable parameters 9

More information

ON SOME ENTERTAINING APPLICATIONS OF THE CONCEPT OF SET IN COMPUTER SCIENCE COURSE

ON SOME ENTERTAINING APPLICATIONS OF THE CONCEPT OF SET IN COMPUTER SCIENCE COURSE Yordzhev K., Kostadnova H. Інформаційні технології в освіті ON SOME ENTERTAINING APPLICATIONS OF THE CONCEPT OF SET IN COMPUTER SCIENCE COURSE Yordzhev K., Kostadnova H. Some aspects of programmng educaton

More information

Shape Representation Robust to the Sketching Order Using Distance Map and Direction Histogram

Shape Representation Robust to the Sketching Order Using Distance Map and Direction Histogram Shape Representaton Robust to the Sketchng Order Usng Dstance Map and Drecton Hstogram Department of Computer Scence Yonse Unversty Kwon Yun CONTENTS Revew Topc Proposed Method System Overvew Sketch Normalzaton

More information

TN348: Openlab Module - Colocalization

TN348: Openlab Module - Colocalization TN348: Openlab Module - Colocalzaton Topc The Colocalzaton module provdes the faclty to vsualze and quantfy colocalzaton between pars of mages. The Colocalzaton wndow contans a prevew of the two mages

More information

Lobachevsky State University of Nizhni Novgorod. Polyhedron. Quick Start Guide

Lobachevsky State University of Nizhni Novgorod. Polyhedron. Quick Start Guide Lobachevsky State Unversty of Nzhn Novgorod Polyhedron Quck Start Gude Nzhn Novgorod 2016 Contents Specfcaton of Polyhedron software... 3 Theoretcal background... 4 1. Interface of Polyhedron... 6 1.1.

More information

A Binarization Algorithm specialized on Document Images and Photos

A Binarization Algorithm specialized on Document Images and Photos A Bnarzaton Algorthm specalzed on Document mages and Photos Ergna Kavalleratou Dept. of nformaton and Communcaton Systems Engneerng Unversty of the Aegean kavalleratou@aegean.gr Abstract n ths paper, a

More information

Accessibility Analysis for the Automatic Contact and Non-contact Inspection on Coordinate Measuring Machines

Accessibility Analysis for the Automatic Contact and Non-contact Inspection on Coordinate Measuring Machines Proceedngs of the World Congress on Engneerng 008 Vol I Accessblty Analyss for the Automatc Contact and Non-contact Inspecton on Coordnate Measurng Machnes B. J. Álvarez, P. Fernández, J. C. Rco and G.

More information

On Some Entertaining Applications of the Concept of Set in Computer Science Course

On Some Entertaining Applications of the Concept of Set in Computer Science Course On Some Entertanng Applcatons of the Concept of Set n Computer Scence Course Krasmr Yordzhev *, Hrstna Kostadnova ** * Assocate Professor Krasmr Yordzhev, Ph.D., Faculty of Mathematcs and Natural Scences,

More information

Modeling Concave Globoidal Cam with Swinging Roller Follower: A Case Study

Modeling Concave Globoidal Cam with Swinging Roller Follower: A Case Study Modelng Concave Globodal Cam wth Swngng Roller Follower: A Case Study Nguyen Van Tuong, and Premysl Pokorny Abstract Ths paper descrbes a computer-aded desgn for desgn of the concave globodal cam wth cylndrcal

More information

Contours Planning and Visual Servo Control of XXY Positioning System Using NURBS Interpolation Approach

Contours Planning and Visual Servo Control of XXY Positioning System Using NURBS Interpolation Approach Inventon Journal of Research Technology n Engneerng & Management (IJRTEM) ISSN: 2455-3689 www.jrtem.com olume 1 Issue 4 ǁ June. 2016 ǁ PP 16-23 Contours Plannng and sual Servo Control of XXY Postonng System

More information

Harvard University CS 101 Fall 2005, Shimon Schocken. Assembler. Elements of Computing Systems 1 Assembler (Ch. 6)

Harvard University CS 101 Fall 2005, Shimon Schocken. Assembler. Elements of Computing Systems 1 Assembler (Ch. 6) Harvard Unversty CS 101 Fall 2005, Shmon Schocken Assembler Elements of Computng Systems 1 Assembler (Ch. 6) Why care about assemblers? Because Assemblers employ some nfty trcks Assemblers are the frst

More information

3-Wheel Swerve Drive - The Trouble with Tribots

3-Wheel Swerve Drive - The Trouble with Tribots 3-Wheel Swerve Drve - The Trouble wth Trbots Clem McKown - FRC Team 1640 17-August-2014 Executve Summary FRC's 2013 change n robot permeter rules (to 112 nch maxmum overall permeter from the earler maxmum

More information

Assembler. Building a Modern Computer From First Principles.

Assembler. Building a Modern Computer From First Principles. Assembler Buldng a Modern Computer From Frst Prncples www.nand2tetrs.org Elements of Computng Systems, Nsan & Schocken, MIT Press, www.nand2tetrs.org, Chapter 6: Assembler slde Where we are at: Human Thought

More information

Dimensions of spline spaces over non-rectangular T-meshes

Dimensions of spline spaces over non-rectangular T-meshes Adv Comput Math DOI 0.007/s0444-06-946-4 Dmensons of splne spaces over non-rectangular T-meshes Chao Zeng Meng Wu 2 Fang Deng Jansong Deng Receved: 23 July 205 / Accepted: 9 Aprl 206 Sprnger Scence+Busness

More information

Feature Estimation and Registration of Point Clouds in Reverse Engineering

Feature Estimation and Registration of Point Clouds in Reverse Engineering Amercan Journal of Mechancal and Materals Engneerng 017; 1(4): 83-87 http://www.scencepublshnggroup.com/j/ajmme do: 10.11648/j.ajmme.0170104.15 Feature Estmaton and Regstraton of Pont Clouds n Reverse

More information

A mathematical programming approach to the analysis, design and scheduling of offshore oilfields

A mathematical programming approach to the analysis, design and scheduling of offshore oilfields 17 th European Symposum on Computer Aded Process Engneerng ESCAPE17 V. Plesu and P.S. Agach (Edtors) 2007 Elsever B.V. All rghts reserved. 1 A mathematcal programmng approach to the analyss, desgn and

More information

Any Pair of 2D Curves Is Consistent with a 3D Symmetric Interpretation

Any Pair of 2D Curves Is Consistent with a 3D Symmetric Interpretation Symmetry 2011, 3, 365-388; do:10.3390/sym3020365 OPEN ACCESS symmetry ISSN 2073-8994 www.mdp.com/journal/symmetry Artcle Any Par of 2D Curves Is Consstent wth a 3D Symmetrc Interpretaton Tadamasa Sawada

More information

Classifier Selection Based on Data Complexity Measures *

Classifier Selection Based on Data Complexity Measures * Classfer Selecton Based on Data Complexty Measures * Edth Hernández-Reyes, J.A. Carrasco-Ochoa, and J.Fco. Martínez-Trndad Natonal Insttute for Astrophyscs, Optcs and Electroncs, Lus Enrque Erro No.1 Sta.

More information

VECTOR - RASTER CONVERSION

VECTOR - RASTER CONVERSION PERIODICA POLYTECHNlCA SER. CIVIL ENG. VOL. 39, NO. 2, PP. 135-142 (1995) VECTOR - RASTER CONVERSION Tran Quoc HUNG Department of Photogrammetry Techncal Unversty of Budapest H-1521 Budapest, Hungary E-mal:

More information

Load Balancing for Hex-Cell Interconnection Network

Load Balancing for Hex-Cell Interconnection Network Int. J. Communcatons, Network and System Scences,,, - Publshed Onlne Aprl n ScRes. http://www.scrp.org/journal/jcns http://dx.do.org/./jcns.. Load Balancng for Hex-Cell Interconnecton Network Saher Manaseer,

More information

PARTITIONING POSITIONAL AND NORMAL SPACE FOR FAST OCCLUSION DETECTION

PARTITIONING POSITIONAL AND NORMAL SPACE FOR FAST OCCLUSION DETECTION Proceedngs of DETC 3 ASME 23 Desgn Engneerng Techncal Conferences and Computers and Informaton n Engneerng Conference Chcago, Illnos USA, September 2-6, 23 DETC23/DAC-48779 PARTITIONING POSITIONAL AND

More information

The example below contains two doors and no floor level obstacles. Your panel calculator should now look something like this: 2,400

The example below contains two doors and no floor level obstacles. Your panel calculator should now look something like this: 2,400 Step 1: A r c h t e c t u r a l H e a t n g o begn wth you must prepare a smple drawng for each room n whch you wsh to nstall our Heat Profle Skrtng Heatng System. You certanly don't need to be Pcasso,

More information

Circuit Analysis I (ENGR 2405) Chapter 3 Method of Analysis Nodal(KCL) and Mesh(KVL)

Circuit Analysis I (ENGR 2405) Chapter 3 Method of Analysis Nodal(KCL) and Mesh(KVL) Crcut Analyss I (ENG 405) Chapter Method of Analyss Nodal(KCL) and Mesh(KVL) Nodal Analyss If nstead of focusng on the oltages of the crcut elements, one looks at the oltages at the nodes of the crcut,

More information

CSE 326: Data Structures Quicksort Comparison Sorting Bound

CSE 326: Data Structures Quicksort Comparison Sorting Bound CSE 326: Data Structures Qucksort Comparson Sortng Bound Steve Setz Wnter 2009 Qucksort Qucksort uses a dvde and conquer strategy, but does not requre the O(N) extra space that MergeSort does. Here s the

More information

Distribution Analysis

Distribution Analysis Chapter II Dstrbuton Analyss D... (Absolute and Relatve Frequences) Let X be a characterstc possessng the attrbutesa, =,,..., k. The absolute frequency of the attrbutea, =,,..., k s defned as follows:

More information

MIKE ZERO: Creating 2D Bathymetries. Bathymetry Editor & Mesh Generator. Scientific Documentation

MIKE ZERO: Creating 2D Bathymetries. Bathymetry Editor & Mesh Generator. Scientific Documentation MIKE ZERO: Creatng D Bathymetres Bathymetry Edtor & Mesh Generator Scentfc Documentaton MIKE 7 DHI headquarters Agern Allé 5 DK-97 Hørsholm Denmark +45 456 9 Telephone +45 456 9333 Support +45 456 99 Telefax

More information

AADL : about scheduling analysis

AADL : about scheduling analysis AADL : about schedulng analyss Schedulng analyss, what s t? Embedded real-tme crtcal systems have temporal constrants to meet (e.g. deadlne). Many systems are bult wth operatng systems provdng multtaskng

More information

Accounting for the Use of Different Length Scale Factors in x, y and z Directions

Accounting for the Use of Different Length Scale Factors in x, y and z Directions 1 Accountng for the Use of Dfferent Length Scale Factors n x, y and z Drectons Taha Soch (taha.soch@kcl.ac.uk) Imagng Scences & Bomedcal Engneerng, Kng s College London, The Rayne Insttute, St Thomas Hosptal,

More information

A Range Image Refinement Technique for Multi-view 3D Model Reconstruction

A Range Image Refinement Technique for Multi-view 3D Model Reconstruction A Range Image Refnement Technque for Mult-vew 3D Model Reconstructon Soon-Yong Park and Mural Subbarao Electrcal and Computer Engneerng State Unversty of New York at Stony Brook, USA E-mal: parksy@ece.sunysb.edu

More information

IP Camera Configuration Software Instruction Manual

IP Camera Configuration Software Instruction Manual IP Camera 9483 - Confguraton Software Instructon Manual VBD 612-4 (10.14) Dear Customer, Wth your purchase of ths IP Camera, you have chosen a qualty product manufactured by RADEMACHER. Thank you for the

More information

Double Layer Tensegrity Grids

Double Layer Tensegrity Grids Acta Poltechnca Hungarca Vol. 9, No. 5, 0 Double Laer Tensegrt Grds Tatana Olejnkova Department of Appled Mathematcs, Cvl Engneerng Facult Techncal Unverst of Košce Vsokoškolská, 0 00 Košce, Slovaka e-mal:

More information

CHAPTER 2 DECOMPOSITION OF GRAPHS

CHAPTER 2 DECOMPOSITION OF GRAPHS CHAPTER DECOMPOSITION OF GRAPHS. INTRODUCTION A graph H s called a Supersubdvson of a graph G f H s obtaned from G by replacng every edge uv of G by a bpartte graph,m (m may vary for each edge by dentfyng

More information

An Approach in Coloring Semi-Regular Tilings on the Hyperbolic Plane

An Approach in Coloring Semi-Regular Tilings on the Hyperbolic Plane An Approach n Colorng Sem-Regular Tlngs on the Hyperbolc Plane Ma Louse Antonette N De Las Peñas, mlp@mathscmathadmueduph Glenn R Lago, glago@yahoocom Math Department, Ateneo de Manla Unversty, Loyola

More information

DECISION HELP SYSTEM SUPPORTED DATA-MINING METHOD

DECISION HELP SYSTEM SUPPORTED DATA-MINING METHOD DECISION HELP SYSTEM SUPPORTED DATA-MINING METHOD Péter Tamás, Norbert Szakály Budapest Unversty of Technology and Economcs Mechancal engneerng Faculty Department of Mechatroncs, Optcs and Engneerng Informatcs

More information

Routability Driven Modification Method of Monotonic Via Assignment for 2-layer Ball Grid Array Packages

Routability Driven Modification Method of Monotonic Via Assignment for 2-layer Ball Grid Array Packages Routablty Drven Modfcaton Method of Monotonc Va Assgnment for 2-layer Ball Grd Array Pacages Yoch Tomoa Atsush Taahash Department of Communcatons and Integrated Systems, Toyo Insttute of Technology 2 12

More information

Snakes-based approach for extraction of building roof contours from digital aerial images

Snakes-based approach for extraction of building roof contours from digital aerial images Snakes-based approach for extracton of buldng roof contours from dgtal aeral mages Alur P. Dal Poz and Antono J. Fazan São Paulo State Unversty Dept. of Cartography, R. Roberto Smonsen 305 19060-900 Presdente

More information

Form-factors Josef Pelikán CGG MFF UK Praha.

Form-factors Josef Pelikán CGG MFF UK Praha. Form-factors 1996-2016 Josef Pelkán CGG MFF UK Praha pepca@cgg.mff.cun.cz http://cgg.mff.cun.cz/~pepca/ FormFactor 2016 Josef Pelkán, http://cgg.mff.cun.cz/~pepca 1 / 23 Form-factor F It ndcates the proporton

More information

Improvement of Spatial Resolution Using BlockMatching Based Motion Estimation and Frame. Integration

Improvement of Spatial Resolution Using BlockMatching Based Motion Estimation and Frame. Integration Improvement of Spatal Resoluton Usng BlockMatchng Based Moton Estmaton and Frame Integraton Danya Suga and Takayuk Hamamoto Graduate School of Engneerng, Tokyo Unversty of Scence, 6-3-1, Nuku, Katsuska-ku,

More information

Welcome to the Three Ring %CIRCOS: An Example of Creating a Circular Graph without a Polar Axis

Welcome to the Three Ring %CIRCOS: An Example of Creating a Circular Graph without a Polar Axis PharmaSUG 2018 - Paper DV14 Welcome to the Three Rng %CIRCOS: An Example of Creatng a Crcular Graph wthout a Polar Axs Jeffrey Meyers, Mayo Clnc ABSTRACT An nternal graphcs challenge between SAS and R

More information

VOXEL BASED SEGMENTATION OF LARGE AIRBORNE TOPOBATHYMETRIC LIDAR DATA

VOXEL BASED SEGMENTATION OF LARGE AIRBORNE TOPOBATHYMETRIC LIDAR DATA The Internatonal Archves of the Photogrammetry, Remote Sensng and Spatal Informaton Scences, Volume XLII-1/W1, 2017 VOXEL BASED SEGMENTATION OF LARGE AIRBORNE TOPOBATHYMETRIC LIDAR DATA R. Boerner,, L.

More information

Programming Assignment Six. Semester Calendar. 1D Excel Worksheet Arrays. Review VBA Arrays from Excel. Programming Assignment Six May 2, 2017

Programming Assignment Six. Semester Calendar. 1D Excel Worksheet Arrays. Review VBA Arrays from Excel. Programming Assignment Six May 2, 2017 Programmng Assgnment Sx, 07 Programmng Assgnment Sx Larry Caretto Mechancal Engneerng 09 Computer Programmng for Mechancal Engneers Outlne Practce quz for actual quz on Thursday Revew approach dscussed

More information

Reading. 14. Subdivision curves. Recommended:

Reading. 14. Subdivision curves. Recommended: eadng ecommended: Stollntz, Deose, and Salesn. Wavelets for Computer Graphcs: heory and Applcatons, 996, secton 6.-6., A.5. 4. Subdvson curves Note: there s an error n Stollntz, et al., secton A.5. Equaton

More information

Assignment # 2. Farrukh Jabeen Algorithms 510 Assignment #2 Due Date: June 15, 2009.

Assignment # 2. Farrukh Jabeen Algorithms 510 Assignment #2 Due Date: June 15, 2009. Farrukh Jabeen Algorthms 51 Assgnment #2 Due Date: June 15, 29. Assgnment # 2 Chapter 3 Dscrete Fourer Transforms Implement the FFT for the DFT. Descrbed n sectons 3.1 and 3.2. Delverables: 1. Concse descrpton

More information

Chapter 26: Geometrical Optics

Chapter 26: Geometrical Optics Answers to Even-Numbered Conceptual Questons 2. Three mages are formed of object B. One extends from ( 3 m, 1 m) to ( 3 m, 2 m) to ( 4 m, 2 m). Another mage forms an L from (3 m, 1 m) to (3 m, 2 m) to

More information

9. BASIC programming: Control and Repetition

9. BASIC programming: Control and Repetition Am: In ths lesson, you wll learn: H. 9. BASIC programmng: Control and Repetton Scenaro: Moz s showng how some nterestng patterns can be generated usng math. Jyot [after seeng the nterestng graphcs]: Usng

More information

Solutions to Programming Assignment Five Interpolation and Numerical Differentiation

Solutions to Programming Assignment Five Interpolation and Numerical Differentiation College of Engneerng and Coputer Scence Mechancal Engneerng Departent Mechancal Engneerng 309 Nuercal Analyss of Engneerng Systes Sprng 04 Nuber: 537 Instructor: Larry Caretto Solutons to Prograng Assgnent

More information

Hierarchical clustering for gene expression data analysis

Hierarchical clustering for gene expression data analysis Herarchcal clusterng for gene expresson data analyss Gorgo Valentn e-mal: valentn@ds.unm.t Clusterng of Mcroarray Data. Clusterng of gene expresson profles (rows) => dscovery of co-regulated and functonally

More information

Biostatistics 615/815

Biostatistics 615/815 The E-M Algorthm Bostatstcs 615/815 Lecture 17 Last Lecture: The Smplex Method General method for optmzaton Makes few assumptons about functon Crawls towards mnmum Some recommendatons Multple startng ponts

More information

NUMERICAL SOLVING OPTIMAL CONTROL PROBLEMS BY THE METHOD OF VARIATIONS

NUMERICAL SOLVING OPTIMAL CONTROL PROBLEMS BY THE METHOD OF VARIATIONS ARPN Journal of Engneerng and Appled Scences 006-017 Asan Research Publshng Network (ARPN). All rghts reserved. NUMERICAL SOLVING OPTIMAL CONTROL PROBLEMS BY THE METHOD OF VARIATIONS Igor Grgoryev, Svetlana

More information

Subspace clustering. Clustering. Fundamental to all clustering techniques is the choice of distance measure between data points;

Subspace clustering. Clustering. Fundamental to all clustering techniques is the choice of distance measure between data points; Subspace clusterng Clusterng Fundamental to all clusterng technques s the choce of dstance measure between data ponts; D q ( ) ( ) 2 x x = x x, j k = 1 k jk Squared Eucldean dstance Assumpton: All features

More information

Visual Curvature. 1. Introduction. y C. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2007

Visual Curvature. 1. Introduction. y C. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2007 IEEE onf. on omputer Vson and Pattern Recognton (VPR June 7 Vsual urvature HaRong Lu, Longn Jan Lateck, WenYu Lu, Xang Ba HuaZhong Unversty of Scence and Technology, P.R. hna Temple Unversty, US lhrbss@gmal.com,

More information

A Gradient Difference based Technique for Video Text Detection

A Gradient Difference based Technique for Video Text Detection A Gradent Dfference based Technque for Vdeo Text Detecton Palaahnakote Shvakumara, Trung Quy Phan and Chew Lm Tan School of Computng, Natonal Unversty of Sngapore {shva, phanquyt, tancl }@comp.nus.edu.sg

More information

The Evaluation and Correction of the Reconstructed NURBS Surface Smoothing and Accuracy

The Evaluation and Correction of the Reconstructed NURBS Surface Smoothing and Accuracy Sensors & Transducers 2013 by IFSA http://www.sensorsportal.com The Evaluaton and Correcton of the Reconstructed NURBS Surface Smoothng and Accuracy Shgang WANG, Janzhou ZHANG, Yong YAN School of Mechatroncs

More information

VFH*: Local Obstacle Avoidance with Look-Ahead Verification

VFH*: Local Obstacle Avoidance with Look-Ahead Verification 2000 IEEE Internatonal Conference on Robotcs and Automaton, San Francsco, CA, Aprl 24-28, 2000, pp. 2505-25 VFH*: Local Obstacle Avodance wth Look-Ahead Verfcaton Iwan Ulrch and Johann Borensten The Unversty

More information

A Gradient Difference based Technique for Video Text Detection

A Gradient Difference based Technique for Video Text Detection 2009 10th Internatonal Conference on Document Analyss and Recognton A Gradent Dfference based Technque for Vdeo Text Detecton Palaahnakote Shvakumara, Trung Quy Phan and Chew Lm Tan School of Computng,

More information

Interpolation of the Irregular Curve Network of Ship Hull Form Using Subdivision Surfaces

Interpolation of the Irregular Curve Network of Ship Hull Form Using Subdivision Surfaces 7 Interpolaton of the Irregular Curve Network of Shp Hull Form Usng Subdvson Surfaces Kyu-Yeul Lee, Doo-Yeoun Cho and Tae-Wan Km Seoul Natonal Unversty, kylee@snu.ac.kr,whendus@snu.ac.kr,taewan}@snu.ac.kr

More information

Solving some Combinatorial Problems in grid n-ogons

Solving some Combinatorial Problems in grid n-ogons Solvng some Combnatoral Problems n grd n-ogons Antono L. Bajuelos, Santago Canales, Gregoro Hernández, Ana Mafalda Martns Abstract In ths paper we study some problems related to grd n-ogons. A grd n-ogon

More information

Sixth-Order Difference Scheme for Sigma Coordinate Ocean Models

Sixth-Order Difference Scheme for Sigma Coordinate Ocean Models 064 JOURNAL OF PHYSICAL OCEANOGRAPHY VOLUME 7 Sxth-Order Dfference Scheme for Sgma Coordnate Ocean Models PETER C. CHU AND CHENWU FAN Department of Oceanography, Naval Postgraduate School, Monterey, Calforna

More information

Real-time Scheduling

Real-time Scheduling Real-tme Schedulng COE718: Embedded System Desgn http://www.ee.ryerson.ca/~courses/coe718/ Dr. Gul N. Khan http://www.ee.ryerson.ca/~gnkhan Electrcal and Computer Engneerng Ryerson Unversty Overvew RTX

More information

11. HARMS How To: CSV Import

11. HARMS How To: CSV Import and Rsk System 11. How To: CSV Import Preparng the spreadsheet for CSV Import Refer to the spreadsheet template to ad algnng spreadsheet columns wth Data Felds. The spreadsheet s shown n the Appendx, an

More information

APPLICATION OF A COMPUTATIONALLY EFFICIENT GEOSTATISTICAL APPROACH TO CHARACTERIZING VARIABLY SPACED WATER-TABLE DATA

APPLICATION OF A COMPUTATIONALLY EFFICIENT GEOSTATISTICAL APPROACH TO CHARACTERIZING VARIABLY SPACED WATER-TABLE DATA RFr"W/FZD JAN 2 4 1995 OST control # 1385 John J Q U ~ M Argonne Natonal Laboratory Argonne, L 60439 Tel: 708-252-5357, Fax: 708-252-3 611 APPLCATON OF A COMPUTATONALLY EFFCENT GEOSTATSTCAL APPROACH TO

More information

Course Introduction. Algorithm 8/31/2017. COSC 320 Advanced Data Structures and Algorithms. COSC 320 Advanced Data Structures and Algorithms

Course Introduction. Algorithm 8/31/2017. COSC 320 Advanced Data Structures and Algorithms. COSC 320 Advanced Data Structures and Algorithms Course Introducton Course Topcs Exams, abs, Proects A quc loo at a few algorthms 1 Advanced Data Structures and Algorthms Descrpton: We are gong to dscuss algorthm complexty analyss, algorthm desgn technques

More information

Calibration Method for 2-Dimensional Laser Scanner Attached on a Robot Vehicle

Calibration Method for 2-Dimensional Laser Scanner Attached on a Robot Vehicle Proceedngs of the 17th World Congress The Internatonal Federaton of Automatc Control Seoul, Korea, July 6-11, 8 Calbraton Method for -Dmensonal Laser Scanner Attached on a Robot Vehcle Oscar C. Barawd,

More information

cos(a, b) = at b a b. To get a distance measure, subtract the cosine similarity from one. dist(a, b) =1 cos(a, b)

cos(a, b) = at b a b. To get a distance measure, subtract the cosine similarity from one. dist(a, b) =1 cos(a, b) 8 Clusterng 8.1 Some Clusterng Examples Clusterng comes up n many contexts. For example, one mght want to cluster journal artcles nto clusters of artcles on related topcs. In dong ths, one frst represents

More information

Electrical analysis of light-weight, triangular weave reflector antennas

Electrical analysis of light-weight, triangular weave reflector antennas Electrcal analyss of lght-weght, trangular weave reflector antennas Knud Pontoppdan TICRA Laederstraede 34 DK-121 Copenhagen K Denmark Emal: kp@tcra.com INTRODUCTION The new lght-weght reflector antenna

More information