Fast and accurate view factor generation

Size: px
Start display at page:

Download "Fast and accurate view factor generation"

Transcription

1 FICUP An Internatonal Conference on Urban Physcs B. Beckers, T. Pco, S. Jmenez (Eds.) Quto Galápagos, Ecuador, 6 30 September 016 Fast and accurate vew factor generaton Benot Beckers 1 and Perre Beckers 1 Compègne Unversty of Technology Sorbonne Unversty Rue Roger Couttolenc, CS Compègne - France Benot.Beckers@utc.fr Unversty of Lège 7, rue des Erables, 41 Planevaux - Belgque Perre.Beckers@ulg.ac.be Keywords: Vew Factor, Ray Tracng, Unform Mesh, Radatve Heat Transfer, Stratfed Samplng. Abstract. Ths document explans how to mesh the hemsphere wth equal vew factor elements. The man characterstc of the method s the defnton of elements delmted by the two classcal sphercal coordnates (polar and azmuth angles) smlar to the geographcal longtude and lattude. Ths choce s very convenent to dentfy the localzaton of the elements on the sphere; t also smplfes a lot the determnaton of rays for ether determnstc or stratfed sampled Monte Carlo ray tracng. The generaton of the mesh s very fast and consequently well suted for ray tracng methods. The qualty of the set of rays spatally very well dstrbuted s a fundamental element of the whole process relablty. FICUP 016

2 1 Introducton The man radatve phenomena consdered n urban physcs are: lght, sound and heat. In thermal radaton, we must dstngush between exchanges that occur n short wavelengths (ncludng vsble lght) and those that take place n the long wavelengths [Beckers 011]. The objects of the urban scene only emt n long wavelengths, wth an ntensty that s proportonal to the fourth power of ther temperature. Thermal loads due to Sun are totally provded n shortwave, and ther nteracton wth the cty surfaces s ndependent of the temperatures. The fundamental dfferences between these problems come from the wave propagaton behavor and the human percepton: lght s consdered nstantaneous, sound s perceved delayed, and heat nvolves nerta [Beckers 014a]. To solve radatve problems, we dstngush two completely dfferent approaches. The frst one s usng some knd of mesh generated n CAD systems (typcally the wde used stl fles), fnte element or radosty methods [Beckers 016]; the second deals only wth dscretzed sources and uses ray tracng technques, typcally n the frame of Monte Carlo methods. In the frst approach, the problem s based on the dscretzaton of the objects nto elements or patches that wll be used to model the scene and smulate the physcal behavor. The basc ngredents are the vew factors. These are purely geometrcal parameters that descrbe how objects are seen from each other. They can be computed by algebrac or Monte Carlo ray tracng methods. The paper s manly based on [Beckers 01], where the dea of usng sphercal equal area cells was ntroduced for the frst tme. The concept of coverage ndex, ntally ntroduced n [Tregenza 1987] and enhanced n [Beckers 014b], s actually gvng valuable nformaton on the cells aspect ratos. The geometrc backgrounds of the method are fully developed n [Beckers 014a]. Vew Factor The vew factor (also called form factor) s the basc element of the radatve studes [Beckers 014a, Beckers 01, Sllon 1994]. It defnes the fracton of the total power leavng patch A that s receved by patch A j. Its defnton s purely geometrc. The angles and j relate to the drecton of the vector connectng the dfferental elements wth the vectors normal to these elements; r j s the dstance between the dfferental elements. 1 cos cos F V y y da da (1) j j (, ) j j A A A r j j Except n partcular stuatons [Howel 010], t s not possble to compute the vew factors explctly. An addtonal dffculty appears n presence of obstructons represented n the above expresson by the vsblty functon V (y, y j ). Ths functon s equal to 0 or 1 accordng to the possble presence of an obstacle that does not allow seeng an element y j from an element y. It s much easer to compute the dfferental vew factor by removng the external ntegraton that wll be taken nto account thereafter n order to acheve the evaluaton of the vew factor, usng, for nstance, Gaussan quadrature rule. The dfferental vew factor n a pont y surrounded by the element area da s gven by: cos cos F V y y da () j da (, ) Aj j j A r j j 3 FICUP 016

3 Ths expresson can be nterpreted as the result of two successve operatons known as Nusselt analogy, where we wll momentarly dsregard the vsblty term V (y, y j ) not requred for the explanaton: 1. The element s projected on the unt hemsphere centered on the pont y. Ths step s represented by the factor cos / r of relaton (). The sold angle completed by the j j element da j, whch s also the area of the sphercal polygon bult from the same element, s gven by cos j d j daj (3) r j. The sphercal polygon s orthogonally projected on the base plane da. Ths projecton corresponds to the term cos of relaton (), whch s now transformed nto: F cos d (4) da Aj j j The term j represents the sold angle or the sphercal polygon area subtended by A j. The vew factor s expressed n percents (projected area over unt dsk area by 100). 3 Computng the Vew Factor The vew factor can be calculated prncpally n two ways: algebrac methods or ray tracng methods. In the frst stuaton, the geometry of the scene has to be modeled. In the second case, we do not need the deep descrpton of the scene: t s suffcent to gve a set of smple patches or trangles lke n the stl format, whch comes from the stereolthography CAD software and s wdely used for rapd prototypng, 3D prntng and computer-aded manufacturng. So, the frst way to calculate the dfferental vew factor, shown n relatons (3) and (4), s to project t onto the hemsphere defned at the concerned pont and then to project the sphercal polygon orthogonally on the plane tangent to the surface (the dsk whch s the base of the hemsphere). Ths projecton s compared to the area of the dsk. The calculaton method s n prncple easy to mplement. Both steps are easy to perform for any shape that can be decomposed n small lne segments. Ths procedure s applcable for any parameterzed shape. The foundaton of the frst step s a central projecton on a unt sphere centered at orgn, whch conssts n dvdng the postons by ther modules: P P (5) P The second step, whch s the orthogonal projecton of P, s straghtforward provded we are workng n axes defned wth respect to the projecton plane (normal vector n). P P ( P nn ) (6) P P P whch s not Let us start wth the computaton of the vew factor of a polylne necessarly n a plane. It s shown n blue lnes n Fgure 1. To compute from pont O the vew factor of ths fgure, we have to proceed n two steps. Frst, we project t on the unt sphere 4 FICUP 016

4 represented n the fgure by ts base and two orthogonal sem-merdans, respectvely n the plane x = 0 and y = 0. Fgure 1: Vew factor: Pont to patch The sphercal projecton drawn n red s composed of great crcle arcs. In the fgure, P 1, P and P 1 are the sphercal projectons (5) of P -1, P and P +1. In a second step, we buld the orthogonal projecton of the sphercal polygon on the base of the hemsphere: plane z = 0. The crcular arcs are transformed nto ellptcal ones (wth the two lmtng cases of straght lnes or crcular arcs). In the fgure, P 1 and P are the orthogonal projectons (6) of P 1and P. To compute the vew factor, we have frst to defne the unt vectors f normal to the faces of the sphercal pyramd OP 1 P P 1 whereop 1, OP, are unt vectors computed from the apex O to the vertces of the studed contour P P P The vertces sequence of the pyramd base s defned n such a way that the sphercal polygon representng ts projecton on the sphere s always stuated on the left sde of ts boundary composed of great crcles segments. The length l of the crcular segment P 1 f OP 1 OP OP 1 OP P s gven by: arcsn 1 l OP OP (8) It s always postve because the arc length s greater than zero and less than. Because the area of a unt dsk sector of angle s equal to /, the arc length of the sphercal pyramd face OP 1 P s equal to twce ts area. The orthogonal projecton a of the face area on the base plane wth normal vector n s then gven by: (7) l a f. n (9) 5 FICUP 016

5 The vector n s normal to the surface supportng ds and on whch we calculate the vew factor. As defned n (7), the vectors f are normal to the faces of the pyramd: OP P, OPP 1 The dot products of (9) are multpled by the quanttes l, equal to the angles of the faces of the pyramd at the apex O. Ths expresson can be postve or negatve, dependng on ts orentaton gven by the dot product. If we add algebracally the expressons (9) for all the contour segments, we obtan the area of the orthogonal projecton P 1 P P 1 of the sphercal polygon, whch must be dvded by (area of the base) to obtan the relatve area: 1 1 F ds P a j l f n (10) For a shape P P P, the formula s gvng a result that depends only on the accuracy of ts evaluaton. Ths shape can be as smple as a polygon or t can be extracted from the outlne of a sold and expressed as a polylne. The precson also depends on the precson of the computaton of the obstructons. In complex stuatons, these computatons can be very heavy. If the patches do not cover the full hemsphere, the complement to 1 of the sum of ther vew factors s called sky vew factor (closure property of the vew factors). The sky vew factor s lnked to the vsble part of the vault of heaven; t s often used as desgn parameter n archtectural applcatons. When the skylne s avalable, (10) can provde an easy and fast method to compute the sky vew factor. 4 Meshng the Hemsphere Before consderng the second method used for computng the vew factors, we have frst to consder the sphercal support used to generate the rays for the castng process. There are several methods to mesh a sphere: n the frst one, t s covered wth sphercal polygons that are fgures of the sphere delmted by great crcles. In practce, these structures are based on some of the fve regular sphercal polygons. In another one, we buld elements bounded by segments of parallels and merdans. The choce of ths knd of mesh s justfed by the fact that the sphercal coordnates based on polar and azmuth angles (where the polar angle may be called co-lattude, zenth angle, normal angle, or nclnaton angle) or the geographcal coordnates are wdely used to descrbe the sphere. A drect advantage of ths choce s that the azmuthal projectons centered on the poles of these elements are fgures of the crcle bounded by arcs of concentrc crcles and rad segments [Beckers 014b, Leopard 006]. For these reasons, t s our preferred meshng method. But before addressng the problem of the hemsphere, we frst examne how to defne equal area cells wthn a dsk. The full dsk s dvded nto a central one surrounded by concentrc rngs, each one contanng a certan number of cells. For a mesh where all elements have the same area, one realzes mmedately that the sequence of cells dffers on the dfferent rngs. Let assume that N equal cells have to be defned n a unt dsk. Startng from a central dsk composed of a sngle cell and whose radus s equal to r 1 = 1/N, we easly perform the computaton n the rng surroundng t. Ths dsk s composed of n cells, so that the dsk that s the sum of the nner dsc and ths one contans (k = k 1 + n) cells (or k +1 = k + n). The radus of ths dsc s gven by r +1 = r k +1. The number of cells added to each rng s arbtrary, provded that the total amount of cells does not exceed the value N. 6 FICUP 016

6 As the fllng sequence of the successve dsks s arbtrary, we deduce that t s possble to mpose at each step an addtonal condton, for example mposng the aspect rato of the cells, ether n the rng to be nserted on the dsk (Fgure ), or on the hemsphere (Fgure 3). Ths procedure only needs a few statements n Matlab and gves the sequence of cells n the dfferent rngs, from the sphercal cap on the top of the dome to ts base. For the example of 100 mposed cells of Fgure, we have the non optmzed sequence: S (11) Fgure : D and 3D vews of 100 cells wth equal areas and aspect rato equal to 1 on the dsk In the optmzed case of Fgure 3, obtaned wth the functons developed n [Beckers 016b], we obtan the sequence: S (1) Fgure 3: 100 cells wth same areas on the dsk and aspect rato equal to 1 on the hemsphere Once the sequence of cells s defned on the dsk, t s easy to use an nverse azmuthal projecton to obtan the mesh on the sphere. In the case of azmuthal orthogonal projecton, 7 FICUP 016

7 the relatonshp between the polar angle on the unt hemsphere measured n radans and the radus n the projecton s: r sn (13) On the left sde of Fgure, we see the orthogonal projecton of the hemsphere on ts base. Here, both the areas and the aspect ratos of the projecton are equal. The drawback of ths choce s the mportant dstorton of the cells close to the base of the hemsphere. In Fgure 3, the areas of the projecton are requred to be equal whle the aspect ratos are requred to be equal to one on the hemsphere. The mportant dstorton of the cells close to the base s now removed. When we sgnfcantly ncrease the number of cells, we observe frst that the processng tme needed to generate the sequence of cells s neglgble and secondly that the man dfference between optmzed (Fgure 4, left) and non optmzed (Fgure 4, rght) stuatons s occurrng manly close to the base. Fgure 4: Comparson of the solutons for a generaton of 1000 cells 5 Generatng rays After the generaton of equal vew factor cells, t s possble to generate rays that wll allow computng vew factors of the scene elements. The rays are generated, for nstance from the orgn to each cell and traced to the scene, and the number of collsons wth the elements s accounted. The vew factor of an element s the rato between the number of mpactng rays and the total number of traced rays. If the number of traced rays s suffcent, the result tends to the exact soluton [Vujcc 006]. The frst method used to defne the rays s determnstc, for nstance, the rays pass through the center of each cell. It s the stuaton shown n the orthogonal projectons Fgure 5 & Fgure 6 of the optmzed cell sequence [ ]. In a non optmzed sequence [ ], we observe the bad aspect rato of the lower rng (Fgure 7); t s confrmed by the dagram of Fgure 8 showng the relatve coverage ndex n each rng. Ths ndex s defned as the rato of the area of the greatest nscrbed crcle and the cell area, compared to the same rato computed n a plane square and equal to /4 [Beckers 014b]. It also appears clearly that the densty of ponts s lower n the bottom of the dome (Fgure 6). The same s occurrng for the random rays of Fgure FICUP 016

8 Fgure 5: Determnstc 151 cells centers Fgure 6: Sde vew of the dome composed of 151 rays generated from equal vew factor cells Fgure 7: Mesh and determnstc rays for the non optmzed 151 cells dome Fgure 8: Equal vew factor (EVF), 151 cells mesh wthout cells aspect rato optmzaton 9 FICUP 016

9 Fgure 9: Equal vew factor (EVF) optmzed 151 cells mesh In the optmzed mesh where the cells aspects ratos on the sphere are close to 1, we obtan the new cells sequence [ ] and the coverage ndces of Fgure 9. We observe that the worse coverage ndex occurs n the rng close to the top of the dome whle t occurs n the bottom rng of the non optmzed sequence. Anyway, the optmzed sequence s better both for the mnmum value and for the average. In the second ray tracng method, the poston n each cell s defned randomly. Because all the cells are defned between two lattudes and two longtudes, ths procedure s very relable and easy to mplement. Ths method pertans to the category of stratfed sampled Monte Carlo methods. An example of ths knd of ray dstrbuton s shown on a sde vew of a dome n Fgure 10. It appears clearly that the densty of ponts s lower close to the base of the dome, whch reflects the behavor of mportance samplng methods. Fgure 10: Sde vew of a dome composed of 5000 random rays The proposed method s also the most convenent one to generate unform equal sold angle rays on the sphere. In ths case, as proposed n [Beckers 01], t s smlar to that of [Leopard 006], but accordng to the performed comparatve tests, we feel that t s faster, because t s usng a pure algebrac procedure. 30 FICUP 016

10 6 Concluson Two methods are proposed for computng the vew factors. The frst one, often called Lambert method [Beckers 014a], uses an explct formulaton of the pont to patch vew factor. It s very effcent and exact n the case of lack of obstacle between the pont and the patch. The second one s based on an orgnal method of mesh generaton on the sphere or the hemsphere. Ths knd of mesh allows usng both mportance and stratfed samplng n Monte Carlo ray tracng methods. It provdes an effcent method to compute the vew factors n complex urban envronments because due to ts geometrcal smplcty, t s naturally well suted to deal wth complex spatal confguratons. References [Beckers 011] Benot Beckers, Impact of solar energy on ctes sustanablty, PLEA th Conference on Passve and Low Energy Archtecture, Louvan-la-Neuve, Belgum, July 011. [Beckers 01] Benot Beckers, Perre Beckers, A general rule for dsk and hemsphere partton nto equal-area cells, Computatonal Geometry: Theory and Applcatons, Vol. 45, Nr. 7 01, p [Beckers 014a] Benot Beckers, Perre Beckers, Reconclaton of Geometry and Percepton n Radaton Physcs, John Wley and Sons, Inc., 19 pages, July 014. [Beckers 014b] Benot Beckers, Perre Beckers, Sky vault partton for computng daylght avalablty and shortwave energy budget on an urban scale, Lghtng Research and Technology, vol. 46 n 6, Pages , December, 014 [Beckers 016] Benot Beckers, Multscale Analyss as a Central Component of Urban Physcs Modelng, n: Computatonal Methods for Solds and Fluds, Multscale Analyss, Probablty Aspects and Model Reducton, Adnan Ibrahmbegovc (Ed.), Sprnger Internatonal Publshng, 016, Pages 1-7. [Beckers 016b] Benot Beckers, Perre Beckers, Complete set of Matlab procedures for achevng unform ray generaton, 016, Webste: [Howel 010] J.R. Howell, R. Segel, M.P. Menguc, Thermal Radaton Heat Transfer, 5 th ed., Taylor and Francs / CRC, New York, 010. [Leopard 006] Paul Leopard, A partton of the unt sphere nto regons of equal area and small dameter, Electron. Trans. Numer. Anal [Tregenza 1987] Tregenza Peter R., Subdvson of the sky hemsphere for lumnance measurements, Lghtng Research & Technology, 1987; 19: [Sllon 1994] Franços Sllon, Claude Puech, Radosty and Global Illumnaton, Morgan Kaufmann Publshers, Inc., [Vujcc 006] Mle R. Vujcc, Ncholas P. Lavery, S. G. R. Brown, Numercal Senstvty and Vew Factor Calculaton Usng the Monte Carlo Method, Proceedngs of the Insttuton of Mechancal Engneers, Part C: Journal of Mechancal Engneerng Scence 006, 0: FICUP 016

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

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

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

Cluster Analysis of Electrical Behavior

Cluster Analysis of Electrical Behavior Journal of Computer and Communcatons, 205, 3, 88-93 Publshed Onlne May 205 n ScRes. http://www.scrp.org/ournal/cc http://dx.do.org/0.4236/cc.205.350 Cluster Analyss of Electrcal Behavor Ln Lu Ln Lu, School

More information

Kiran Joy, International Journal of Advanced Engineering Technology E-ISSN

Kiran Joy, International Journal of Advanced Engineering Technology E-ISSN Kran oy, nternatonal ournal of Advanced Engneerng Technology E-SS 0976-3945 nt Adv Engg Tech/Vol. V/ssue /Aprl-une,04/9-95 Research Paper DETERMATO O RADATVE VEW ACTOR WTOUT COSDERG TE SADOWG EECT Kran

More information

An Optimal Algorithm for Prufer Codes *

An Optimal Algorithm for Prufer Codes * J. Software Engneerng & Applcatons, 2009, 2: 111-115 do:10.4236/jsea.2009.22016 Publshed Onlne July 2009 (www.scrp.org/journal/jsea) An Optmal Algorthm for Prufer Codes * Xaodong Wang 1, 2, Le Wang 3,

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

Global Illumination: Radiosity

Global Illumination: Radiosity Last Tme? Global Illumnaton: Radosty Planar Shadows Shadow Maps An early applcaton of radatve heat transfer n stables. Projectve Texture Shadows (Texture Mappng) Shadow Volumes (Stencl Buffer) Schedule

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

Smoothing Spline ANOVA for variable screening

Smoothing Spline ANOVA for variable screening Smoothng Splne ANOVA for varable screenng a useful tool for metamodels tranng and mult-objectve optmzaton L. Rcco, E. Rgon, A. Turco Outlne RSM Introducton Possble couplng Test case MOO MOO wth Game Theory

More information

For instance, ; the five basic number-sets are increasingly more n A B & B A A = B (1)

For instance, ; the five basic number-sets are increasingly more n A B & B A A = B (1) Secton 1.2 Subsets and the Boolean operatons on sets If every element of the set A s an element of the set B, we say that A s a subset of B, or that A s contaned n B, or that B contans A, and we wrte A

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

Analysis of 3D Cracks in an Arbitrary Geometry with Weld Residual Stress

Analysis of 3D Cracks in an Arbitrary Geometry with Weld Residual Stress Analyss of 3D Cracks n an Arbtrary Geometry wth Weld Resdual Stress Greg Thorwald, Ph.D. Ted L. Anderson, Ph.D. Structural Relablty Technology, Boulder, CO Abstract Materals contanng flaws lke nclusons

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

AP PHYSICS B 2008 SCORING GUIDELINES

AP PHYSICS B 2008 SCORING GUIDELINES AP PHYSICS B 2008 SCORING GUIDELINES General Notes About 2008 AP Physcs Scorng Gudelnes 1. The solutons contan the most common method of solvng the free-response questons and the allocaton of ponts for

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

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

An Accurate Evaluation of Integrals in Convex and Non convex Polygonal Domain by Twelve Node Quadrilateral Finite Element Method

An Accurate Evaluation of Integrals in Convex and Non convex Polygonal Domain by Twelve Node Quadrilateral Finite Element Method Internatonal Journal of Computatonal and Appled Mathematcs. ISSN 89-4966 Volume, Number (07), pp. 33-4 Research Inda Publcatons http://www.rpublcaton.com An Accurate Evaluaton of Integrals n Convex and

More information

Steps for Computing the Dissimilarity, Entropy, Herfindahl-Hirschman and. Accessibility (Gravity with Competition) Indices

Steps for Computing the Dissimilarity, Entropy, Herfindahl-Hirschman and. Accessibility (Gravity with Competition) Indices Steps for Computng the Dssmlarty, Entropy, Herfndahl-Hrschman and Accessblty (Gravty wth Competton) Indces I. Dssmlarty Index Measurement: The followng formula can be used to measure the evenness between

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

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

Content Based Image Retrieval Using 2-D Discrete Wavelet with Texture Feature with Different Classifiers

Content Based Image Retrieval Using 2-D Discrete Wavelet with Texture Feature with Different Classifiers IOSR Journal of Electroncs and Communcaton Engneerng (IOSR-JECE) e-issn: 78-834,p- ISSN: 78-8735.Volume 9, Issue, Ver. IV (Mar - Apr. 04), PP 0-07 Content Based Image Retreval Usng -D Dscrete Wavelet wth

More information

A Fast Content-Based Multimedia Retrieval Technique Using Compressed Data

A Fast Content-Based Multimedia Retrieval Technique Using Compressed Data A Fast Content-Based Multmeda Retreval Technque Usng Compressed Data Borko Furht and Pornvt Saksobhavvat NSF Multmeda Laboratory Florda Atlantc Unversty, Boca Raton, Florda 3343 ABSTRACT In ths paper,

More information

Machine Learning: Algorithms and Applications

Machine Learning: Algorithms and Applications 14/05/1 Machne Learnng: Algorthms and Applcatons Florano Zn Free Unversty of Bozen-Bolzano Faculty of Computer Scence Academc Year 011-01 Lecture 10: 14 May 01 Unsupervsed Learnng cont Sldes courtesy of

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

Mathematics 256 a course in differential equations for engineering students

Mathematics 256 a course in differential equations for engineering students Mathematcs 56 a course n dfferental equatons for engneerng students Chapter 5. More effcent methods of numercal soluton Euler s method s qute neffcent. Because the error s essentally proportonal to the

More information

FEATURE EXTRACTION. Dr. K.Vijayarekha. Associate Dean School of Electrical and Electronics Engineering SASTRA University, Thanjavur

FEATURE EXTRACTION. Dr. K.Vijayarekha. Associate Dean School of Electrical and Electronics Engineering SASTRA University, Thanjavur FEATURE EXTRACTION Dr. K.Vjayarekha Assocate Dean School of Electrcal and Electroncs Engneerng SASTRA Unversty, Thanjavur613 41 Jont Intatve of IITs and IISc Funded by MHRD Page 1 of 8 Table of Contents

More information

3D Virtual Eyeglass Frames Modeling from Multiple Camera Image Data Based on the GFFD Deformation Method

3D Virtual Eyeglass Frames Modeling from Multiple Camera Image Data Based on the GFFD Deformation Method NICOGRAPH Internatonal 2012, pp. 114-119 3D Vrtual Eyeglass Frames Modelng from Multple Camera Image Data Based on the GFFD Deformaton Method Norak Tamura, Somsangouane Sngthemphone and Katsuhro Ktama

More information

SLAM Summer School 2006 Practical 2: SLAM using Monocular Vision

SLAM Summer School 2006 Practical 2: SLAM using Monocular Vision SLAM Summer School 2006 Practcal 2: SLAM usng Monocular Vson Javer Cvera, Unversty of Zaragoza Andrew J. Davson, Imperal College London J.M.M Montel, Unversty of Zaragoza. josemar@unzar.es, jcvera@unzar.es,

More information

Finite Element Analysis of Rubber Sealing Ring Resilience Behavior Qu Jia 1,a, Chen Geng 1,b and Yang Yuwei 2,c

Finite Element Analysis of Rubber Sealing Ring Resilience Behavior Qu Jia 1,a, Chen Geng 1,b and Yang Yuwei 2,c Advanced Materals Research Onlne: 03-06-3 ISSN: 66-8985, Vol. 705, pp 40-44 do:0.408/www.scentfc.net/amr.705.40 03 Trans Tech Publcatons, Swtzerland Fnte Element Analyss of Rubber Sealng Rng Reslence Behavor

More information

Fast Computation of Shortest Path for Visiting Segments in the Plane

Fast Computation of Shortest Path for Visiting Segments in the Plane Send Orders for Reprnts to reprnts@benthamscence.ae 4 The Open Cybernetcs & Systemcs Journal, 04, 8, 4-9 Open Access Fast Computaton of Shortest Path for Vstng Segments n the Plane Ljuan Wang,, Bo Jang

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

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

Helsinki University Of Technology, Systems Analysis Laboratory Mat Independent research projects in applied mathematics (3 cr)

Helsinki University Of Technology, Systems Analysis Laboratory Mat Independent research projects in applied mathematics (3 cr) Helsnk Unversty Of Technology, Systems Analyss Laboratory Mat-2.08 Independent research projects n appled mathematcs (3 cr) "! #$&% Antt Laukkanen 506 R ajlaukka@cc.hut.f 2 Introducton...3 2 Multattrbute

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

Feature Reduction and Selection

Feature Reduction and Selection Feature Reducton and Selecton Dr. Shuang LIANG School of Software Engneerng TongJ Unversty Fall, 2012 Today s Topcs Introducton Problems of Dmensonalty Feature Reducton Statstc methods Prncpal Components

More information

Topology Design using LS-TaSC Version 2 and LS-DYNA

Topology Design using LS-TaSC Version 2 and LS-DYNA Topology Desgn usng LS-TaSC Verson 2 and LS-DYNA Wllem Roux Lvermore Software Technology Corporaton, Lvermore, CA, USA Abstract Ths paper gves an overvew of LS-TaSC verson 2, a topology optmzaton tool

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

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

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

Monte Carlo Integration

Monte Carlo Integration Introducton Monte Carlo Integraton Dgtal Image Synthess Yung-Yu Chuang 11/9/005 The ntegral equatons generally don t have analytc solutons, so we must turn to numercal methods. L ( o p,ωo) = L e ( p,ωo)

More information

A MOVING MESH APPROACH FOR SIMULATION BUDGET ALLOCATION ON CONTINUOUS DOMAINS

A MOVING MESH APPROACH FOR SIMULATION BUDGET ALLOCATION ON CONTINUOUS DOMAINS Proceedngs of the Wnter Smulaton Conference M E Kuhl, N M Steger, F B Armstrong, and J A Jones, eds A MOVING MESH APPROACH FOR SIMULATION BUDGET ALLOCATION ON CONTINUOUS DOMAINS Mark W Brantley Chun-Hung

More information

Monte Carlo 1: Integration

Monte Carlo 1: Integration Monte Carlo : Integraton Prevous lecture: Analytcal llumnaton formula Ths lecture: Monte Carlo Integraton Revew random varables and probablty Samplng from dstrbutons Samplng from shapes Numercal calculaton

More information

Lecture 5: Multilayer Perceptrons

Lecture 5: Multilayer Perceptrons Lecture 5: Multlayer Perceptrons Roger Grosse 1 Introducton So far, we ve only talked about lnear models: lnear regresson and lnear bnary classfers. We noted that there are functons that can t be represented

More information

Global Illumination and Radiosity

Global Illumination and Radiosity Global Illumnaton and Radosty CS535 Danel G. Alaga Department of Computer Scence Purdue Unversty Recall: Lghtng and Shadng Lght sources Pont lght Models an omndrectonal lght source (e.g., a bulb) Drectonal

More information

Study on Fuzzy Models of Wind Turbine Power Curve

Study on Fuzzy Models of Wind Turbine Power Curve Proceedngs of the 006 IASME/WSEAS Internatonal Conference on Energy & Envronmental Systems, Chalkda, Greece, May 8-0, 006 (pp-7) Study on Fuzzy Models of Wnd Turbne Power Curve SHU-CHEN WANG PEI-HWA HUANG

More information

Module Management Tool in Software Development Organizations

Module Management Tool in Software Development Organizations Journal of Computer Scence (5): 8-, 7 ISSN 59-66 7 Scence Publcatons Management Tool n Software Development Organzatons Ahmad A. Al-Rababah and Mohammad A. Al-Rababah Faculty of IT, Al-Ahlyyah Amman Unversty,

More information

AVO Modeling of Monochromatic Spherical Waves: Comparison to Band-Limited Waves

AVO Modeling of Monochromatic Spherical Waves: Comparison to Band-Limited Waves AVO Modelng of Monochromatc Sphercal Waves: Comparson to Band-Lmted Waves Charles Ursenbach* Unversty of Calgary, Calgary, AB, Canada ursenbach@crewes.org and Arnm Haase Unversty of Calgary, Calgary, AB,

More information

Private Information Retrieval (PIR)

Private Information Retrieval (PIR) 2 Levente Buttyán Problem formulaton Alce wants to obtan nformaton from a database, but she does not want the database to learn whch nformaton she wanted e.g., Alce s an nvestor queryng a stock-market

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

Load-Balanced Anycast Routing

Load-Balanced Anycast Routing Load-Balanced Anycast Routng Chng-Yu Ln, Jung-Hua Lo, and Sy-Yen Kuo Department of Electrcal Engneerng atonal Tawan Unversty, Tape, Tawan sykuo@cc.ee.ntu.edu.tw Abstract For fault-tolerance and load-balance

More information

S.P.H. : A SOLUTION TO AVOID USING EROSION CRITERION?

S.P.H. : A SOLUTION TO AVOID USING EROSION CRITERION? S.P.H. : A SOLUTION TO AVOID USING EROSION CRITERION? Célne GALLET ENSICA 1 place Emle Bloun 31056 TOULOUSE CEDEX e-mal :cgallet@ensca.fr Jean Luc LACOME DYNALIS Immeuble AEROPOLE - Bat 1 5, Avenue Albert

More information

Plane Sampling for Light Paths from the Environment Map

Plane Sampling for Light Paths from the Environment Map jgt 2009/5/27 16:42 page 1 #1 Vol. [VOL], No. [ISS]: 1 6 Plane Samplng for Lght Paths from the Envronment Map Holger Dammertz and Johannes Hanka Ulm Unversty Abstract. We present a method to start lght

More information

Dependence of the Color Rendering Index on the Luminance of Light Sources and Munsell Samples

Dependence of the Color Rendering Index on the Luminance of Light Sources and Munsell Samples Australan Journal of Basc and Appled Scences, 4(10): 4609-4613, 2010 ISSN 1991-8178 Dependence of the Color Renderng Index on the Lumnance of Lght Sources and Munsell Samples 1 A. EL-Bally (Physcs Department),

More information

Querying by sketch geographical databases. Yu Han 1, a *

Querying by sketch geographical databases. Yu Han 1, a * 4th Internatonal Conference on Sensors, Measurement and Intellgent Materals (ICSMIM 2015) Queryng by sketch geographcal databases Yu Han 1, a * 1 Department of Basc Courses, Shenyang Insttute of Artllery,

More information

MATHEMATICS FORM ONE SCHEME OF WORK 2004

MATHEMATICS FORM ONE SCHEME OF WORK 2004 MATHEMATICS FORM ONE SCHEME OF WORK 2004 WEEK TOPICS/SUBTOPICS LEARNING OBJECTIVES LEARNING OUTCOMES VALUES CREATIVE & CRITICAL THINKING 1 WHOLE NUMBER Students wll be able to: GENERICS 1 1.1 Concept of

More information

LOOP ANALYSIS. The second systematic technique to determine all currents and voltages in a circuit

LOOP ANALYSIS. The second systematic technique to determine all currents and voltages in a circuit LOOP ANALYSS The second systematic technique to determine all currents and voltages in a circuit T S DUAL TO NODE ANALYSS - T FRST DETERMNES ALL CURRENTS N A CRCUT AND THEN T USES OHM S LAW TO COMPUTE

More information

Monte Carlo Rendering

Monte Carlo Rendering Monte Carlo Renderng Last Tme? Modern Graphcs Hardware Cg Programmng Language Gouraud Shadng vs. Phong Normal Interpolaton Bump, Dsplacement, & Envronment Mappng Cg Examples G P R T F P D Today Does Ray

More information

Monte Carlo 1: Integration

Monte Carlo 1: Integration Monte Carlo : Integraton Prevous lecture: Analytcal llumnaton formula Ths lecture: Monte Carlo Integraton Revew random varables and probablty Samplng from dstrbutons Samplng from shapes Numercal calculaton

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

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

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

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

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

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

Virtual Machine Migration based on Trust Measurement of Computer Node

Virtual Machine Migration based on Trust Measurement of Computer Node Appled Mechancs and Materals Onlne: 2014-04-04 ISSN: 1662-7482, Vols. 536-537, pp 678-682 do:10.4028/www.scentfc.net/amm.536-537.678 2014 Trans Tech Publcatons, Swtzerland Vrtual Machne Mgraton based on

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

Physics 132 4/24/17. April 24, 2017 Physics 132 Prof. E. F. Redish. Outline

Physics 132 4/24/17. April 24, 2017 Physics 132 Prof. E. F. Redish. Outline Aprl 24, 2017 Physcs 132 Prof. E. F. Redsh Theme Musc: Justn Tmberlake Mrrors Cartoon: Gary Larson The Far Sde 1 Outlne Images produced by a curved mrror Image equatons for a curved mrror Lght n dense

More information

Barycentric Coordinates. From: Mean Value Coordinates for Closed Triangular Meshes by Ju et al.

Barycentric Coordinates. From: Mean Value Coordinates for Closed Triangular Meshes by Ju et al. Barycentrc Coordnates From: Mean Value Coordnates for Closed Trangular Meshes by Ju et al. Motvaton Data nterpolaton from the vertces of a boundary polygon to ts nteror Boundary value problems Shadng Space

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

PHYSICS-ENHANCED L-SYSTEMS

PHYSICS-ENHANCED L-SYSTEMS PHYSICS-ENHANCED L-SYSTEMS Hansrud Noser 1, Stephan Rudolph 2, Peter Stuck 1 1 Department of Informatcs Unversty of Zurch, Wnterthurerstr. 190 CH-8057 Zurch Swtzerland noser(stuck)@f.unzh.ch, http://www.f.unzh.ch/~noser(~stuck)

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

A COMBINED AUTOMATED GENERALIZATION MODEL OF SPATIAL ACTIVE OBJECTS

A COMBINED AUTOMATED GENERALIZATION MODEL OF SPATIAL ACTIVE OBJECTS A COMBINED AUTOMATED GENERALIZATION MODEL OF SPATIAL ACTIVE OBJECTS J. Joubran Abu Daoud, Y. Doytsher Faculty of Cvl and Envronmental Engneerng Department of Transportaton and Geo-Informaton Engneerng

More information

Review of approximation techniques

Review of approximation techniques CHAPTER 2 Revew of appromaton technques 2. Introducton Optmzaton problems n engneerng desgn are characterzed by the followng assocated features: the objectve functon and constrants are mplct functons evaluated

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

A New Approach For the Ranking of Fuzzy Sets With Different Heights

A New Approach For the Ranking of Fuzzy Sets With Different Heights New pproach For the ankng of Fuzzy Sets Wth Dfferent Heghts Pushpnder Sngh School of Mathematcs Computer pplcatons Thapar Unversty, Patala-7 00 Inda pushpndersnl@gmalcom STCT ankng of fuzzy sets plays

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

Chapter 6 Programmng the fnte element method Inow turn to the man subject of ths book: The mplementaton of the fnte element algorthm n computer programs. In order to make my dscusson as straghtforward

More information

The Shortest Path of Touring Lines given in the Plane

The Shortest Path of Touring Lines given in the Plane Send Orders for Reprnts to reprnts@benthamscence.ae 262 The Open Cybernetcs & Systemcs Journal, 2015, 9, 262-267 The Shortest Path of Tourng Lnes gven n the Plane Open Access Ljuan Wang 1,2, Dandan He

More information

Analysis of Malaysian Wind Direction Data Using ORIANA

Analysis of Malaysian Wind Direction Data Using ORIANA Modern Appled Scence March, 29 Analyss of Malaysan Wnd Drecton Data Usng ORIANA St Fatmah Hassan (Correspondng author) Centre for Foundaton Studes n Scence Unversty of Malaya, 63 Kuala Lumpur, Malaysa

More information

Programming in Fortran 90 : 2017/2018

Programming in Fortran 90 : 2017/2018 Programmng n Fortran 90 : 2017/2018 Programmng n Fortran 90 : 2017/2018 Exercse 1 : Evaluaton of functon dependng on nput Wrte a program who evaluate the functon f (x,y) for any two user specfed values

More information

Sum of Linear and Fractional Multiobjective Programming Problem under Fuzzy Rules Constraints

Sum of Linear and Fractional Multiobjective Programming Problem under Fuzzy Rules Constraints Australan Journal of Basc and Appled Scences, 2(4): 1204-1208, 2008 ISSN 1991-8178 Sum of Lnear and Fractonal Multobjectve Programmng Problem under Fuzzy Rules Constrants 1 2 Sanjay Jan and Kalash Lachhwan

More information

Analysis of Continuous Beams in General

Analysis of Continuous Beams in General Analyss of Contnuous Beams n General Contnuous beams consdered here are prsmatc, rgdly connected to each beam segment and supported at varous ponts along the beam. onts are selected at ponts of support,

More information

User Authentication Based On Behavioral Mouse Dynamics Biometrics

User Authentication Based On Behavioral Mouse Dynamics Biometrics User Authentcaton Based On Behavoral Mouse Dynamcs Bometrcs Chee-Hyung Yoon Danel Donghyun Km Department of Computer Scence Department of Computer Scence Stanford Unversty Stanford Unversty Stanford, CA

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

XV International PhD Workshop OWD 2013, October Machine Learning for the Efficient Control of a Multi-Wheeled Mobile Robot

XV International PhD Workshop OWD 2013, October Machine Learning for the Efficient Control of a Multi-Wheeled Mobile Robot XV Internatonal PhD Workshop OWD 203, 9 22 October 203 Machne Learnng for the Effcent Control of a Mult-Wheeled Moble Robot Uladzmr Dzomn, Brest State Techncal Unversty (prof. Vladmr Golovko, Brest State

More information

X- Chart Using ANOM Approach

X- Chart Using ANOM Approach ISSN 1684-8403 Journal of Statstcs Volume 17, 010, pp. 3-3 Abstract X- Chart Usng ANOM Approach Gullapall Chakravarth 1 and Chaluvad Venkateswara Rao Control lmts for ndvdual measurements (X) chart are

More information

Analysis on the Workspace of Six-degrees-of-freedom Industrial Robot Based on AutoCAD

Analysis on the Workspace of Six-degrees-of-freedom Industrial Robot Based on AutoCAD Analyss on the Workspace of Sx-degrees-of-freedom Industral Robot Based on AutoCAD Jn-quan L 1, Ru Zhang 1,a, Fang Cu 1, Q Guan 1 and Yang Zhang 1 1 School of Automaton, Bejng Unversty of Posts and Telecommuncatons,

More information

Tsinghua University at TAC 2009: Summarizing Multi-documents by Information Distance

Tsinghua University at TAC 2009: Summarizing Multi-documents by Information Distance Tsnghua Unversty at TAC 2009: Summarzng Mult-documents by Informaton Dstance Chong Long, Mnle Huang, Xaoyan Zhu State Key Laboratory of Intellgent Technology and Systems, Tsnghua Natonal Laboratory for

More information

Proper Choice of Data Used for the Estimation of Datum Transformation Parameters

Proper Choice of Data Used for the Estimation of Datum Transformation Parameters Proper Choce of Data Used for the Estmaton of Datum Transformaton Parameters Hakan S. KUTOGLU, Turkey Key words: Coordnate systems; transformaton; estmaton, relablty. SUMMARY Advances n technologes and

More information

Positive Semi-definite Programming Localization in Wireless Sensor Networks

Positive Semi-definite Programming Localization in Wireless Sensor Networks Postve Sem-defnte Programmng Localzaton n Wreless Sensor etworks Shengdong Xe 1,, Jn Wang, Aqun Hu 1, Yunl Gu, Jang Xu, 1 School of Informaton Scence and Engneerng, Southeast Unversty, 10096, anjng Computer

More information

APPLICATION OF MULTIVARIATE LOSS FUNCTION FOR ASSESSMENT OF THE QUALITY OF TECHNOLOGICAL PROCESS MANAGEMENT

APPLICATION OF MULTIVARIATE LOSS FUNCTION FOR ASSESSMENT OF THE QUALITY OF TECHNOLOGICAL PROCESS MANAGEMENT 3. - 5. 5., Brno, Czech Republc, EU APPLICATION OF MULTIVARIATE LOSS FUNCTION FOR ASSESSMENT OF THE QUALITY OF TECHNOLOGICAL PROCESS MANAGEMENT Abstract Josef TOŠENOVSKÝ ) Lenka MONSPORTOVÁ ) Flp TOŠENOVSKÝ

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

Quality Improvement Algorithm for Tetrahedral Mesh Based on Optimal Delaunay Triangulation

Quality Improvement Algorithm for Tetrahedral Mesh Based on Optimal Delaunay Triangulation Intellgent Informaton Management, 013, 5, 191-195 Publshed Onlne November 013 (http://www.scrp.org/journal/m) http://dx.do.org/10.36/m.013.5601 Qualty Improvement Algorthm for Tetrahedral Mesh Based on

More information

CMPS 10 Introduction to Computer Science Lecture Notes

CMPS 10 Introduction to Computer Science Lecture Notes CPS 0 Introducton to Computer Scence Lecture Notes Chapter : Algorthm Desgn How should we present algorthms? Natural languages lke Englsh, Spansh, or French whch are rch n nterpretaton and meanng are not

More information

Global Illumination and Radiosity

Global Illumination and Radiosity Global Illumnaton and Radosty CS535 Danel lg. Alaga Department of Computer Scence Purdue Unversty Recall: Lghtng and Shadng Lght sources Pont lght Models an omndrectonal lght source (e.g., a bulb) Drectonal

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

A NOTE ON FUZZY CLOSURE OF A FUZZY SET

A NOTE ON FUZZY CLOSURE OF A FUZZY SET (JPMNT) Journal of Process Management New Technologes, Internatonal A NOTE ON FUZZY CLOSURE OF A FUZZY SET Bhmraj Basumatary Department of Mathematcal Scences, Bodoland Unversty, Kokrajhar, Assam, Inda,

More information

Kinematics of pantograph masts

Kinematics of pantograph masts Abstract Spacecraft Mechansms Group, ISRO Satellte Centre, Arport Road, Bangalore 560 07, Emal:bpn@sac.ernet.n Flght Dynamcs Dvson, ISRO Satellte Centre, Arport Road, Bangalore 560 07 Emal:pandyan@sac.ernet.n

More information