Rakesh Kumar Singh, P.Senthilkumaran and Kehar Singh * Department of Physics Indian Institute of Technology Hauz Khas, New Delhi ABSTRACT

Size: px
Start display at page:

Download "Rakesh Kumar Singh, P.Senthilkumaran and Kehar Singh * Department of Physics Indian Institute of Technology Hauz Khas, New Delhi ABSTRACT"

Transcription

1 distriution in the fol plne of lens illuminted y Fresnel diffrtion of singulr em; Effet of spheril errtion nd defousing Rkesh Kumr Singh, P.Senthilkumrn nd Kehr Singh * Deprtment of Physis Indin Institute of Tehnology Huz Khs, New Delhi 6 ABSTRACT Fresnel diffrtion of ortex infeted em (singulr em) is foused using lens suffering from spheril errtion nd defousing. The resulting intensity distriution in the fol plne of the lens hs een plotted nd its fetures disussed for two lues of the topologil hrge of the ortex nd for three lues of the Fresnel numer. Keywords: Singulr em, Diffrtion, Fresnel numer, Spheril errtion. INTRODUCTION A em whih possesses n isolted point where mplitude eomes zero nd phse undefined, is lled singulr em nd suh n isolted point is lled singulr point. The suffiient riterion for phse singulrity is tht sum of phse hnge round the singulr point must e integrl multiple of 2π. Wefront of singulr em is found to possess helil shpe or system of m helioids, nested on the sme xis. Here the integer m is topologil hrge [, 2]. Seprtion etween onsequent oils of helioids equls 2πm nd etween neighoring helioids 2π. Singulr ems with point ortex n e generted experimentlly y spirl phse grting or y omputer generted hologrms [2, 3]. Propgtion dynmis of optil orties in singulr ems hs een sujet of onsiderle interest reently. Optil orties find pplitions in mny fields suh s in optil sptil filtering, optil testing, optil tweezers, quntum ryptogrphy, ommunitions, high resolution spetrosopy, mirosopy, semiondutor ptterning, nd nonliner optis. In trpping nd mnipultion of smll ojets [8], em oers ertin distne etween perture nd fousing system. Therefore we he onsidered illumintion of lens, in presene of spheril errtion nd defousing, y Fresnel pttern of singulr em. We he onsidered singulr em with two lues of the topologil hrge nd geometry with Fresnel numers,, nd OPTICAL VORTEX Optil ortex is point phse defet. A em infeted y point ortex n e mthemtilly represented s U ( θ, z) = U exp( imθ ikz ) () The mplitude rition U in eq. () n e of ny form with the ondition tht the mplitude hs to e zero t the singulr point. The phse of the we front hs singulrity t point round whih the line integrl ψ. dl = ± 2mπ (2) ICOL-25 where Ψ = mθ must neessrily e n integrl multiple of 2π, for the phse to e single lued. This integer m is lled topologil hrge of the ortex. The totl topologil hrge of gien field onfigurtion is dynmilly onsered quntity euse under norml onditions orties pper nd dispper in pirs in n optil field. A ophsl we front, ontining ortex hs the form of one or multistrt helil surfe round the dislotion xis. The hndedness of the helil surfe deides the polrity of the topologil hrge []. * Corresponding uthor s E-mil:kehrs@physis.iitd.ernet.in Proeedings of Interntionl Conferene on Optis & Optoeletronis, 2-5 De. 25, IRDE, Dehrdun, INDIA

2 3. DIFFRACTION OF A SINGULAR BEAM BY A CIRCULAR APERTURE In trpping nd mnipultion deies, singulr em is usully pssed through finite perture efore fousing. In our study we he used Fresnel-Kirhhoff diffrtion formul to lulte field distriution t different plnes [4-7]. Consider unit mplitude singulr em t z = s U ( θ,) = exp( imθ ) (3) Upon propgtion, the mplitude t the ortex ore eomes null due to the destrutie interferene of seondry wes t the ortex ore. One n lulte diffrted field of eq. (3) y irulr perture t z plne y using the integrl, 2π i N 2 2 U ( ρ, φ, z) = exp ( i kz) exp ( i ρ N ) U exp ( imθ ) exp ( i ρ N i Nρ ρ θ φ ρ dρ dθ π ) exp [ 2 os ( )] (4) In eq. (4) ρ, θ, nd ρ, φ re polr oordintes on the perture nd the osertion plne respetiely. Here ρ nd ρ re normlized y the rdius ' of the irulr perture. N, the Fresnel numer, is defined s N = π' 2 / λ z. Eqution (4) gies the omplex mplitude distriution in the Fresnel field of singulr em diffrted y the irulr perture. Nture nd profile of this diffrted field depends on the Fresnel numer N nd topologil hrge m. With n inrese in the lue of N, resultnt field eomes more osilltory nd Fresnel rings re osered in the intensity pttern. 4. FOCUSING BY LENS The em fter diffrtion t the irulr perture is inident on the lens of rdius ' nd the intensity profile is lulted in the fol plne (Fig. 3) y using integrl 5. Sine Fresnel diffrtion field hnges with N, the intensity profile in the fol plne depends on the position nd size of the lens. Field distriution in the fol plne is gien [7] y ' ' / 2π in f 2 ν U( ν, ϕ, f ) = exp( i kf) exp i U( ρ, φ, z)exp[ iν ρ os( φ ϕ)] ρ dρ dφ (5) π 4N f where N f = π' 2 / λ f nd ν = (2π / λ)(' / f) r f. Here r f is the rdil oordinte nd ν nd φ re polr oordintes in the fol plne of the lens. Cirulr perture Lens Fol plne z f Fig. 3: Singulr em diffrted y irulr perture nd foused using lens fflited with spheril errtion In presene of spheril errtion ( A ) nd defousing ( ), nd for ' =, field distriution on the fol plne is s Ad gien y 2π i N 2 f ν 4 2 U( ν, ϕ, f ) = exp( ikf ) exp( i ) U( ρ, φ, z) exp{ i2π ( As ρ + Ad ρ )} exp[ iν ρ os( φ ϕ)] ρ dρ dφ π 4N f (6) profile in the fol plne of n errtion-free lens illuminted y Fresnel field of irulr perture for different omintions of Fresnel numer nd topologil hrge m = nd 2 is shown in Figs.4 & 4 respetiely. In Fig. 4, ures, nd represent results for Fresnel numer N=,, nd 5 respetiely. These two figures re used s referene to ompre results of errted system with errtion free system for lens whih is illuminted y Fresnel field of the singulr em. In Figs. 5-, we he onsidered the se of errrted system (spheril errtion A s ) in presene of defousing for different omintions of Fresnel numer nd topologil hrge. In Figs. 5-7, defousing prmeter is A d =.5 nd the spheril errtion oeffiient A s ries s ().5 (). nd (). for different omintions of Fresnel numer nd topologil hrge m = nd 2. In Figs.8 -, we took A d =. nd ried A s s (). ().5 nd (). for different omintions of N nd m. ICOL-25 Proeedings of Interntionl Conferene on Optis & Optoeletronis, 2-5 De. 25, IRDE, Dehrdun, INDIA

3 Fig. 4 s. rdil distne t the fol plne of lens illuminted y Fresnel field of singulr em: () N= () N= () N=5. Topologil hrge 4 m =, 4 m = Fig.5 s. rdil distne in the presene of spheril errtion () A s =.5 () A s =. & () A s =. in the presene of defousing (A d =.5) for N =. Topologil hrge 5 m =, 5 m = 2 ICOL-25 Fig.6 s. rdil distne in the presene of spheril errtion () A s =.5 () A s =. & () A s =. in the presene of defousing (A d =.5) for N =. Topologil hrge 6 m =, 6 m = 2 Proeedings of Interntionl Conferene on Optis & Optoeletronis, 2-5 De. 25, IRDE, Dehrdun, INDIA

4 Fig.7 s. rdil distne in the presene of spheril errtion () A s =.5 () A s =. & () A s =. in the presene of defousing (A d =.5) for N = 5. Topologil hrge 7 m =, 7 m = Fig.8 s. rdil distne in the presene of spheril errtion () A s =. () A s =.5 & () A s =. in the presene of defousing (A d =.) for N =. Topologil hrge 8 m =, 8 m = 2 ICOL-25 Fig.9 s. rdil distne in presene of spheril errtion () A s =. () A s =.5 & () As =. in presene of defousing (A d =.) for N =. Topologil hrge 9 m =, 9 m = 2 Proeedings of Interntionl Conferene on Optis & Optoeletronis, 2-5 De. 25, IRDE, Dehrdun, INDIA

5 Fig. s. rdil distne in presene of spheril errtion: () A s =. () A s =.5 & () A s =. in the presene of defousing (A d =.) for N=5. Topologil hrge m =, m = d Fig. s. rdil distne t the fol plne of n errtion free system in presene of defousing: () A d =.25 () A d =.5 () A d =.75 (d) A d =. for N =. Topologil hrge m =, m = 2 ICOL-25 Fig.2 s. rdil distne t the fol plne of n errtion free system in presene of defousing :() A d =.25 () A d =.5 () A d =.75 (d) A d =. for N=5. Topologil hrge 2 m =, 2 m = 2 Proeedings of Interntionl Conferene on Optis & Optoeletronis, 2-5 De. 25, IRDE, Dehrdun, INDIA

6 profile for n errtion free system in the presene of defousing is shown in Figs. & 2 for N = nd 5 with m = nd 2. Cures (), (), (), nd (d) represent the lue of defousing oeffiient (A d ) =.25,.5,.75, nd. respetiely. 5. DISCUSSION In Fig. 4, the intensity profiles for different lues of N nd m re shown when the lens is errtion free. This figure seres s referene to study the effet of spheril errtion in the lens. As the spheril errtion oeffiient is inresed, there is spreding of right ring in ddition to the hnge in the size of the drk ore. It is possile to lne the spheril errtion y introduing pproprite defousing so tht the effet of spheril errtion n e minimized. This lning ours when A d = A s for n optil system [5] when the inident em hs well-defined phse distriution. We studied this ehior in the presene of optil orties nd omputed the intensity profile when oth spheril errtion nd defousing re present simultneously. Fig.5 shows tht suh lning is possile when A d =.5 nd A s = +.5 in se of m = (ure ). Results were lso otined for Fresnel numers nd 5, nd re presented in Figs. 6 nd 7. It is found tht for topologil hrge m = 2 nd Fresnel numer N =, sme type of lning is possile. We lulted results for A d =. for different N nd m nd results re gien in Figs.8-. From these figures it is ler tht the profiles tend towrds the errtion free se when A d = A s. From Figs. nd 2, it seems tht there is present fol shift in the se of Fresnel numer 5 for topologil hrge m = 2. Mgnitude of this shift is found to inrese with derese in the Fresnel numer nd n inrese in the topologil hrge. Also t lower N nd lrge m, lning of spheril errtion with defousing does not our for A d = A s. Further study of this ehior is under inestigtion. For numeril elution of the integrl, we used impulse response funtion method with due onsidertion of the windowing effet. 6. CONCLUSION In this pper we he plotted intensity profiles t the fol plne for errted system in the presene of defousing nd spheril errtion for different omintions of topologil hrge nd Fresnel numer. From these results we n see the hnge in intensity grdient t the fol plne s ffeted y the presene of errtion. Hene trpping pity of drk ore em (singulr em) will e ffeted y n errted system. We he shown tht spheril errtion lning is possile y pproprite defousing, for diffrtion of singulr ems, in some ses. ACKNOWLEDGEMENT Rkesh Kumr Singh thnkfully knowledges the finnil support s JRF (Sntion No. 9/86 (656) 23) from the Counil of Sientifi nd Industril Reserh Indi (CSIR). REFERENCES I.V.Bsistiy, M. S. Soskin nd M. V. Vsnetso, Optil wefront dislotions nd their properties Opt. Commun. 9, (995). 2 M.W.Beijersergen, R.P.C.Coerwinkel, M.Kristensen, J.P.Woerdmn, Helil wefront lser ems produed with spirl phse plte Opt. Commun. 2, (994). 3 N.R.Hekenerg, R.MDuff, C.P.Smith nd A.G.White, Genertion of optil phse singulrities y omputergenerted hologrms Opt.Lett. 7, (992). 4 J.W.Goodmn, Introdution to Fourier optis MGrw Hill, New York (968). 5 V.N.Mhjn, Zernike nnulr polynomils for imging systems with nnulr pupils J.Opt.So.Am.7, (98). 6 J.J.Stmnes, Wes in fol regions Adm Hillger (986). 7 M.Gu nd X. S. Gn, Fresnel diffrtion y irulr plne we with optil phse singulrities nd its effet on the intensity distriution in the fol plne of lens Optik, 5, 5-66 (997). 8 K.T. Ghgn nd G. A. Swrtzlnder, Optil ortex trpping of prtiles Opt. Lett. 2, (996). ICOL-25 Proeedings of Interntionl Conferene on Optis & Optoeletronis, 2-5 De. 25, IRDE, Dehrdun, INDIA

Fig.1. Let a source of monochromatic light be incident on a slit of finite width a, as shown in Fig. 1.

Fig.1. Let a source of monochromatic light be incident on a slit of finite width a, as shown in Fig. 1. Answer on Question #5692, Physics, Optics Stte slient fetures of single slit Frunhofer diffrction pttern. The slit is verticl nd illuminted by point source. Also, obtin n expression for intensity distribution

More information

GENG2140 Modelling and Computer Analysis for Engineers

GENG2140 Modelling and Computer Analysis for Engineers GENG4 Moelling n Computer Anlysis or Engineers Letures 9 & : Gussin qurture Crete y Grn Romn Joles, PhD Shool o Mehnil Engineering, UWA GENG4 Content Deinition o Gussin qurture Computtion o weights n points

More information

COMPUTATION AND VISUALIZATION OF REACHABLE DISTRIBUTION NETWORK SUBSTATION VOLTAGE

COMPUTATION AND VISUALIZATION OF REACHABLE DISTRIBUTION NETWORK SUBSTATION VOLTAGE 24 th Interntionl Conferene on Eletriity Distriution Glsgow, 12-15 June 2017 Pper 0615 COMPUTATION AND VISUALIZATION OF REACHABLE DISTRIBUTION NETWORK SUBSTATION VOLTAGE Mihel SANKUR Dniel ARNOLD Lun SCHECTOR

More information

[Prakash* et al., 5(8): August, 2016] ISSN: IC Value: 3.00 Impact Factor: 4.116

[Prakash* et al., 5(8): August, 2016] ISSN: IC Value: 3.00 Impact Factor: 4.116 [Prksh* et l 58: ugust 6] ISSN: 77-9655 I Vlue: Impt Ftor: 6 IJESRT INTERNTIONL JOURNL OF ENGINEERING SIENES & RESERH TEHNOLOGY SOME PROPERTIES ND THEOREM ON FUZZY SU-TRIDENT DISTNE Prveen Prksh* M Geeth

More information

Duality in linear interval equations

Duality in linear interval equations Aville online t http://ijim.sriu..ir Int. J. Industril Mthemtis Vol. 1, No. 1 (2009) 41-45 Dulity in liner intervl equtions M. Movhedin, S. Slhshour, S. Hji Ghsemi, S. Khezerloo, M. Khezerloo, S. M. Khorsny

More information

Distance Computation between Non-convex Polyhedra at Short Range Based on Discrete Voronoi Regions

Distance Computation between Non-convex Polyhedra at Short Range Based on Discrete Voronoi Regions Distne Computtion etween Non-onvex Polyhedr t Short Rnge Bsed on Disrete Voronoi Regions Ktsuki Kwhi nd Hiroms Suzuki Deprtment of Preision Mhinery Engineering, The University of Tokyo 7-3-1 Hongo, Bunkyo-ku,

More information

CS 241 Week 4 Tutorial Solutions

CS 241 Week 4 Tutorial Solutions CS 4 Week 4 Tutoril Solutions Writing n Assemler, Prt & Regulr Lnguges Prt Winter 8 Assemling instrutions utomtilly. slt $d, $s, $t. Solution: $d, $s, nd $t ll fit in -it signed integers sine they re 5-it

More information

SMALL SIZE EDGE-FED SIERPINSKI CARPET MICROSTRIP PATCH ANTENNAS

SMALL SIZE EDGE-FED SIERPINSKI CARPET MICROSTRIP PATCH ANTENNAS Progress In Eletromgnetis Reserh C, Vol. 3, 195 22, 28 SMALL SIZE EDGE-FED SIERPINSKI CARPET MICROSTRIP PATCH ANTENNAS W.-L. Chen nd G.-M. Wng Rdr Engineering Deprtment Missile Institute of Air Fore Engineering

More information

Power Transmittance of a Laterally Shifted Gaussian Beam through a Circular Aperture

Power Transmittance of a Laterally Shifted Gaussian Beam through a Circular Aperture Poer Trnsmittnce of Lterlly Shifted Gussin Bem through Circulr Aperture Triq Shmim Khj 1 nd Syed Azer Rez 1 1. Deprtment of Electricl Engineering, Lhore University of Mngement Sciences, DHA, Lhore 5479,

More information

Width and Bounding Box of Imprecise Points

Width and Bounding Box of Imprecise Points Width nd Bounding Box of Impreise Points Vhideh Keikh Mrten Löffler Ali Mohdes Zhed Rhmti Astrt In this pper we study the following prolem: we re given set L = {l 1,..., l n } of prllel line segments,

More information

Introduction to Algebra

Introduction to Algebra INTRODUCTORY ALGEBRA Mini-Leture 1.1 Introdution to Alger Evlute lgeri expressions y sustitution. Trnslte phrses to lgeri expressions. 1. Evlute the expressions when =, =, nd = 6. ) d) 5 10. Trnslte eh

More information

Lecture 12 : Topological Spaces

Lecture 12 : Topological Spaces Leture 12 : Topologil Spes 1 Topologil Spes Topology generlizes notion of distne nd loseness et. Definition 1.1. A topology on set X is olletion T of susets of X hving the following properties. 1. nd X

More information

Lecture 8: Graph-theoretic problems (again)

Lecture 8: Graph-theoretic problems (again) COMP36111: Advned Algorithms I Leture 8: Grph-theoreti prolems (gin) In Prtt-Hrtmnn Room KB2.38: emil: iprtt@s.mn..uk 2017 18 Reding for this leture: Sipser: Chpter 7. A grph is pir G = (V, E), where V

More information

2. What are the types of diffraction and give the differences between them? (June 2005, June 2011)

2. What are the types of diffraction and give the differences between them? (June 2005, June 2011) UNIT-1 b DIFFRACTION Diffrction:A) Distinction between Fresnel nd Frunhofer diffrction, B) diffrction due to single slit, N-slits,C) Diffrction grting experiment. 1 A) Distinction between Fresnel nd Frunhofer

More information

Cameras. Importance of camera models

Cameras. Importance of camera models pture imges mesuring devie Digitl mers mers fill in memor ith olor-smple informtion D hrge-oupled Devie insted of film film lso hs finite resolution grininess depends on speed IS 00 00 6400 sie 35mm IMAX

More information

Tight triangulations: a link between combinatorics and topology

Tight triangulations: a link between combinatorics and topology Tight tringultions: link between ombintoris nd topology Jonthn Spreer Melbourne, August 15, 2016 Topologil mnifolds (Geometri) Topology is study of mnifolds (surfes) up to ontinuous deformtion Complited

More information

Additional Measurement Algorithms in the Overhauser Magnetometer POS-1

Additional Measurement Algorithms in the Overhauser Magnetometer POS-1 Additionl Mesurement Algorithms in the Overhuser Mgnetometer POS-1 O.V. Denisov, A.Y. Denisov, V.A. Spunov (QM Lortory of Url Stte Tehnil University, Mir 19, Ekterinurg, 620002, Russi) J.L. Rsson (Royl

More information

Single-Layer Trunk Routing Using 45-Degree Lines within Critical Areas for PCB Routing

Single-Layer Trunk Routing Using 45-Degree Lines within Critical Areas for PCB Routing SASIMI 2010 Proeedings (R3-8) Single-Lyer Trunk Routing Using 45-Degree Lines within Critil Ares for PCB Routing Kyosuke SHINODA Yukihide KOHIRA Atsushi TAKAHASHI Tokyo Institute of Tehnology Dept. of

More information

10.2 Graph Terminology and Special Types of Graphs

10.2 Graph Terminology and Special Types of Graphs 10.2 Grph Terminology n Speil Types of Grphs Definition 1. Two verties u n v in n unirete grph G re lle jent (or neighors) in G iff u n v re enpoints of n ege e of G. Suh n ege e is lle inient with the

More information

[SYLWAN., 158(6)]. ISI

[SYLWAN., 158(6)]. ISI The proposl of Improved Inext Isomorphi Grph Algorithm to Detet Design Ptterns Afnn Slem B-Brhem, M. Rizwn Jmeel Qureshi Fulty of Computing nd Informtion Tehnology, King Adulziz University, Jeddh, SAUDI

More information

Journal of Combinatorial Theory, Series A

Journal of Combinatorial Theory, Series A Journl of Comintoril Theory, Series A 0 (0) Contents lists ville t SiVerse SieneDiret Journl of Comintoril Theory, Series A www.elsevier.om/lote/jt Spheril tiling y ongruent pentgons Hongho Go, Nn Shi,

More information

Error Numbers of the Standard Function Block

Error Numbers of the Standard Function Block A.2.2 Numers of the Stndrd Funtion Blok evlution The result of the logi opertion RLO is set if n error ours while the stndrd funtion lok is eing proessed. This llows you to rnh to your own error evlution

More information

Final Exam Review F 06 M 236 Be sure to look over all of your tests, as well as over the activities you did in the activity book

Final Exam Review F 06 M 236 Be sure to look over all of your tests, as well as over the activities you did in the activity book inl xm Review 06 M 236 e sure to loo over ll of your tests, s well s over the tivities you did in the tivity oo 1 1. ind the mesures of the numered ngles nd justify your wor. Line j is prllel to line.

More information

The Nature of Light. Light is a propagating electromagnetic waves

The Nature of Light. Light is a propagating electromagnetic waves The Nture of Light Light is propgting electromgnetic wves Index of Refrction n: In mterils, light intercts with toms/molecules nd trvels slower thn it cn in vcuum, e.g., vwter The opticl property of trnsprent

More information

A METHOD FOR CHARACTERIZATION OF THREE-PHASE UNBALANCED DIPS FROM RECORDED VOLTAGE WAVESHAPES

A METHOD FOR CHARACTERIZATION OF THREE-PHASE UNBALANCED DIPS FROM RECORDED VOLTAGE WAVESHAPES A METHOD FOR CHARACTERIZATION OF THREE-PHASE UNBALANCED DIPS FROM RECORDED OLTAGE WAESHAPES M.H.J. Bollen, L.D. Zhng Dept. Eletri Power Engineering Chlmers University of Tehnology, Gothenurg, Sweden Astrt:

More information

Abstract. Calculation of mirror profile The theory underlying the calculation of the mirror profiles is described below.

Abstract. Calculation of mirror profile The theory underlying the calculation of the mirror profiles is described below. A New Clss of Mirrors for Wide-Angle Imging Mm V. Srinivsn Centre for Visul Sienes, Reserh Shool of Biologil Sienes, Austrlin Ntionl Universit, PO Bo 475, Cnerr, ACT 261, Austrli Astrt Conventionl mirrors

More information

Doubts about how to use azimuth values from a Coordinate Object. Juan Antonio Breña Moral

Doubts about how to use azimuth values from a Coordinate Object. Juan Antonio Breña Moral Douts out how to use zimuth vlues from Coordinte Ojet Jun Antonio Breñ Morl # Definition An Azimuth is the ngle from referene vetor in referene plne to seond vetor in the sme plne, pointing towrd, (ut

More information

Optoelectronics and optoelectronic devices. Designing and manufacturing aspherical polystyrene lenses for the terahertz region

Optoelectronics and optoelectronic devices. Designing and manufacturing aspherical polystyrene lenses for the terahertz region Semiondutor Physis, Quntum Eletronis & Optoeletronis, 2018. V. 21, N 1. P. 83-88. Optoeletronis nd optoeletroni devies Designing nd mnufturing spheril polystyrene lenses for the terhertz region A. Shevhik-Sheker¹,*,

More information

COMP108 Algorithmic Foundations

COMP108 Algorithmic Foundations Grph Theory Prudene Wong http://www.s.liv..uk/~pwong/tehing/omp108/201617 How to Mesure 4L? 3L 5L 3L ontiner & 5L ontiner (without mrk) infinite supply of wter You n pour wter from one ontiner to nother

More information

McAfee Web Gateway

McAfee Web Gateway Relese Notes Revision C MAfee We Gtewy 7.6.2.11 Contents Aout this relese Enhnement Resolved issues Instlltion instrutions Known issues Additionl informtion Find produt doumenttion Aout this relese This

More information

Improving the Effectiveness of Self-Organizing Map Networks Using a Circular Kohonen Layer

Improving the Effectiveness of Self-Organizing Map Networks Using a Circular Kohonen Layer Improving the Effetiveness of Self-Orgnizing Mp Networks Using Cirulr Kohonen Lyer M.Y. King *, U.R. Kulkrni, M. Goul, A. Philippkis, R.T. Chi, & E. Turbn Division of Computer Informtion Systems Deprtment

More information

CMPUT101 Introduction to Computing - Summer 2002

CMPUT101 Introduction to Computing - Summer 2002 CMPUT Introdution to Computing - Summer 22 %XLOGLQJ&RPSXWHU&LUFXLWV Chpter 4.4 3XUSRVH We hve looked t so fr how to uild logi gtes from trnsistors. Next we will look t how to uild iruits from logi gtes,

More information

Research Article Determining Sensor Locations in Wireless Sensor Networks

Research Article Determining Sensor Locations in Wireless Sensor Networks Interntionl Journl of Distriuted Sensor Networks Volume 2015, Artile ID 914625, 6 pges http://dx.doi.org/10.1155/2015/914625 Reserh Artile Determining Sensor Lotions in Wireless Sensor Networks Zimo Li

More information

Review from Thursday. Computer Animation II. Grid acceleration. Debugging. Computer-Assisted Animation. Final project

Review from Thursday. Computer Animation II. Grid acceleration. Debugging. Computer-Assisted Animation. Final project Computer Animtion II Orienttion interpoltion Dynmis Some slides ourtesy of Leonrd MMilln nd Jon Popoi Reiew from Thursdy Interpoltion Splines Artiulted odies Forwrd kinemtis Inerse Kinemtis Optimiztion

More information

Math 227 Problem Set V Solutions. f ds =

Math 227 Problem Set V Solutions. f ds = Mth 7 Problem Set V Solutions If is urve with prmetriztion r(t), t b, then we define the line integrl f ds b f ( r(t) ) dr dt (t) dt. Evlute the line integrl f(x,y,z)ds for () f(x,y,z) xosz, the urve with

More information

Light. Light is a Particle. Light can travel through the vacuum of space, but waves can t travel in a vacuum. So light must be a particle!

Light. Light is a Particle. Light can travel through the vacuum of space, but waves can t travel in a vacuum. So light must be a particle! Light Light is Wve Light is refrted in lenses. Light diffrting round two fingers (look lose) uses s of drkness: destrutive interferene. Light must e wve! Light is Prtile Light n trvel through the vuum

More information

IMAGE COMPRESSION USING HIRARCHICAL LINEAR POLYNOMIAL CODING

IMAGE COMPRESSION USING HIRARCHICAL LINEAR POLYNOMIAL CODING Rsh Al-Tmimi et l, Interntionl Journl of Computer Siene nd Mobile Computing, Vol.4 Issue.1, Jnury- 015, pg. 11-119 Avilble Online t www.ijsm.om Interntionl Journl of Computer Siene nd Mobile Computing

More information

THE THEORY AND APPLICATION OF STRUCTURED LIGHT PHOTOGRAMMETRY WITH KNOWN ANGLE

THE THEORY AND APPLICATION OF STRUCTURED LIGHT PHOTOGRAMMETRY WITH KNOWN ANGLE THE THEOR AD APPICATIO OF TRUCTURED IGHT PHOTOGRAMMETR WITH KOW AGE i in * Hou Wengung hng Holing hool o Remote ensing nd Inormtion Engineering Wuhn Universit 9 uou Rod Wuhn Chin - li6@gmil.om -houwengung99@6.om

More information

Tooth profile design for the manufacture of helical gear sets with small numbers of teeth

Tooth profile design for the manufacture of helical gear sets with small numbers of teeth Interntionl Journl of Mhine Tools & Mnufture 45 (5) 5 54 www.elsevier.om/lote/ijmtool Tooth profile design for the mnufture of helil ger sets with smll numbers of teeth Chien-F Chen, Chung-Biu Tsy b, *

More information

SOFTWARE-BUG LOCALIZATION WITH GRAPH MINING

SOFTWARE-BUG LOCALIZATION WITH GRAPH MINING Chpter 17 SOFTWARE-BUG LOCALIZATION WITH GRAPH MINING Frnk Eihinger Institute for Progrm Strutures nd Dt Orgniztion (IPD) Universit-t Krlsruhe (TH), Germny eihinger@ipd.uk.de Klemens B-ohm Institute for

More information

Physics 152. Diffraction. Difrraction Gratings. Announcements. Friday, February 2, 2007

Physics 152. Diffraction. Difrraction Gratings. Announcements. Friday, February 2, 2007 ics Fri Feb.02. Announcements Diffrction Difrrction Grtings Fridy, Februry 2, 2007 Help sessions: W 9-10 pm in NSC 118 Msteringics WU #5 due Mondy WU #6 due Wednesdy http://www.voltnet.com/ldder/ A bem

More information

Lesson 4.4. Euler Circuits and Paths. Explore This

Lesson 4.4. Euler Circuits and Paths. Explore This Lesson 4.4 Euler Ciruits nd Pths Now tht you re fmilir with some of the onepts of grphs nd the wy grphs onvey onnetions nd reltionships, it s time to egin exploring how they n e used to model mny different

More information

Inter-domain Routing

Inter-domain Routing COMP 631: NETWORKED & DISTRIBUTED SYSTEMS Inter-domin Routing Jsleen Kur Fll 2016 1 Internet-sle Routing: Approhes DV nd link-stte protools do not sle to glol Internet How to mke routing slle? Exploit

More information

Before We Begin. Introduction to Spatial Domain Filtering. Introduction to Digital Image Processing. Overview (1): Administrative Details (1):

Before We Begin. Introduction to Spatial Domain Filtering. Introduction to Digital Image Processing. Overview (1): Administrative Details (1): Overview (): Before We Begin Administrtive detils Review some questions to consider Winter 2006 Imge Enhncement in the Sptil Domin: Bsics of Sptil Filtering, Smoothing Sptil Filters, Order Sttistics Filters

More information

Containers: Queue and List

Containers: Queue and List Continers: Queue n List Queue A ontiner in whih insertion is one t one en (the til) n eletion is one t the other en (the he). Also lle FIFO (First-In, First-Out) Jori Cortell n Jori Petit Deprtment of

More information

OPTICS. (b) 3 3. (d) (c) , A small piece

OPTICS. (b) 3 3. (d) (c) , A small piece AQB-07-P-106 641. If the refrctive indices of crown glss for red, yellow nd violet colours re 1.5140, 1.5170 nd 1.518 respectively nd for flint glss re 1.644, 1.6499 nd 1.685 respectively, then the dispersive

More information

Triple/Quadruple Patterning Layout Decomposition via Novel Linear Programming and Iterative Rounding

Triple/Quadruple Patterning Layout Decomposition via Novel Linear Programming and Iterative Rounding Triple/Qudruple Ptterning Lyout Deomposition vi Novel Liner Progrmming nd Itertive Rounding Yio Lin, Xioqing Xu, Bei Yu, Ross Bldik nd Dvid Z. Pn ECE Dept., University of Texs t Austin, Austin, TX USA

More information

Outline. Motivation Background ARCH. Experiment Additional usages for Input-Depth. Regular Expression Matching DPI over Compressed HTTP

Outline. Motivation Background ARCH. Experiment Additional usages for Input-Depth. Regular Expression Matching DPI over Compressed HTTP ARCH This work ws supported y: The Europen Reserh Counil, The Isreli Centers of Reserh Exellene, The Neptune Consortium, nd Ntionl Siene Foundtion wrd CNS-119748 Outline Motivtion Bkground Regulr Expression

More information

Computational geometry

Computational geometry Leture 23 Computtionl geometry Supplementl reding in CLRS: Chpter 33 exept 33.3 There re mny importnt prolems in whih the reltionships we wish to nlyze hve geometri struture. For exmple, omputtionl geometry

More information

Parallelization Optimization of System-Level Specification

Parallelization Optimization of System-Level Specification Prlleliztion Optimiztion of System-Level Speifition Luki i niel. Gjski enter for Emedded omputer Systems University of liforni Irvine, 92697, US {li, gjski} @es.ui.edu strt This pper introdues the prlleliztion

More information

Spectral Analysis of MCDF Operations in Image Processing

Spectral Analysis of MCDF Operations in Image Processing Spectrl Anlysis of MCDF Opertions in Imge Processing ZHIQIANG MA 1,2 WANWU GUO 3 1 School of Computer Science, Northest Norml University Chngchun, Jilin, Chin 2 Deprtment of Computer Science, JilinUniversity

More information

MATH 2530: WORKSHEET 7. x 2 y dz dy dx =

MATH 2530: WORKSHEET 7. x 2 y dz dy dx = MATH 253: WORKSHT 7 () Wrm-up: () Review: polr coordintes, integrls involving polr coordintes, triple Riemnn sums, triple integrls, the pplictions of triple integrls (especilly to volume), nd cylindricl

More information

Lily Yen and Mogens Hansen

Lily Yen and Mogens Hansen SKOLID / SKOLID No. 8 Lily Yen nd Mogens Hnsen Skolid hs joined Mthemticl Myhem which is eing reformtted s stnd-lone mthemtics journl for high school students. Solutions to prolems tht ppered in the lst

More information

CS 551 Computer Graphics. Hidden Surface Elimination. Z-Buffering. Basic idea: Hidden Surface Removal

CS 551 Computer Graphics. Hidden Surface Elimination. Z-Buffering. Basic idea: Hidden Surface Removal CS 55 Computer Grphis Hidden Surfe Removl Hidden Surfe Elimintion Ojet preision lgorithms: determine whih ojets re in front of others Uses the Pinter s lgorithm drw visile surfes from k (frthest) to front

More information

Measuring and interpreting point spread functions to determine confocal microscope resolution and ensure quality control

Measuring and interpreting point spread functions to determine confocal microscope resolution and ensure quality control Mesuring nd interpreting point spred funtions to determine onfol mirosope resolution nd ensure qulit ontrol Rihrd W Cole 1, Tushre Jinds 2 & Clire M Brown 2,3 1 Wdsworth Center, New York Stte Deprtment

More information

The Development of a Method for Visually Simulating Clouds for Outdoor Views

The Development of a Method for Visually Simulating Clouds for Outdoor Views The Development of Method for Visully Simulting Clouds for Outdoor Views The development of CG nimted prodution support tool for umulonimbus loud simultion bsed on prtiles Tsuks KIKUCHI*, Akir OKAZAKI**

More information

Chapter 4 Fuzzy Graph and Relation

Chapter 4 Fuzzy Graph and Relation Chpter 4 Fuzzy Grph nd Reltion Grph nd Fuzzy Grph! Grph n G = (V, E) n V : Set of verties(node or element) n E : Set of edges An edge is pir (x, y) of verties in V.! Fuzzy Grph ~ n ( ~ G = V, E) n V :

More information

Can Pythagoras Swim?

Can Pythagoras Swim? Overview Ativity ID: 8939 Mth Conepts Mterils Students will investigte reltionships etween sides of right tringles to understnd the Pythgoren theorem nd then use it to solve prolems. Students will simplify

More information

High-Resolution Electron Microscopy Images of Defects in Mg- and Li-stabilized ff'-aluminas

High-Resolution Electron Microscopy Images of Defects in Mg- and Li-stabilized ff'-aluminas 572 At Cryst. (1979). A35, 572-580 High-Resolution Eletron Mirosopy Imges of Defets in Mg- nd Li-stilized ff'-lumins By JAN-OLOV BOVIN Inorgni Chemistry 2, Chemil Centre, University of Lund, PO Box 740,

More information

Agilent Mass Hunter Software

Agilent Mass Hunter Software Agilent Mss Hunter Softwre Quick Strt Guide Use this guide to get strted with the Mss Hunter softwre. Wht is Mss Hunter Softwre? Mss Hunter is n integrl prt of Agilent TOF softwre (version A.02.00). Mss

More information

An Approach to Filter the Test Data for Killing Multiple Mutants in Different Locations

An Approach to Filter the Test Data for Killing Multiple Mutants in Different Locations Interntionl Journl of Computer Theory nd Engineering, Vol. 5, No. 2, April 2013 An Approh to Filter the Test Dt for Killing Multiple Mutnts in Different Lotions Ngendr Prtp Singh, Rishi Mishr, Silesh Tiwri,

More information

Selecting the Most Highly Correlated Pairs within a Large Vocabulary

Selecting the Most Highly Correlated Pairs within a Large Vocabulary Seleting the Most Highl Correlted Pirs within Lrge Voulr Koji Umemur Deprtment of Computer Siene Toohshi Universit of Tehnolog umemur@tutistutjp Astrt Ourene ptterns of words in douments n e epressed s

More information

6.3 Volumes. Just as area is always positive, so is volume and our attitudes towards finding it.

6.3 Volumes. Just as area is always positive, so is volume and our attitudes towards finding it. 6.3 Volumes Just s re is lwys positive, so is volume nd our ttitudes towrds finding it. Let s review how to find the volume of regulr geometric prism, tht is, 3-dimensionl oject with two regulr fces seprted

More information

COSC 6374 Parallel Computation. Dense Matrix Operations

COSC 6374 Parallel Computation. Dense Matrix Operations COSC 6374 Prllel Computtion Dense Mtrix Opertions Edgr Griel Fll Edgr Griel Prllel Computtion Edgr Griel erminology Dense Mtrix: ll elements of the mtrix ontin relevnt vlues ypilly stored s 2-D rry, (e.g.

More information

Motion Simulation of Cycloidal Gears, Cams, and Other Mechanisms

Motion Simulation of Cycloidal Gears, Cams, and Other Mechanisms Motion Simultion of Cyloidl Gers, Cms, nd Other Mehnisms Shih-Ling (Sid) Wng Deprtment of Mehnil Engineering North Crolin A&T Stte University Greensboro, NC 27411 Tel (336)334-7620, Fx (336)334-7417, wng@nt.edu

More information

Fault tree conversion to binary decision diagrams

Fault tree conversion to binary decision diagrams Loughorough University Institutionl Repository Fult tree onversion to inry deision digrms This item ws sumitted to Loughorough University's Institutionl Repository y the/n uthor. Cittion: ANDREWS, J.D.

More information

Key words: Fuzzy linear programming, fuzzy triangular, fuzzy trapezoidal, fuzzy number, modified S-curve function, fuzzy simplex method.

Key words: Fuzzy linear programming, fuzzy triangular, fuzzy trapezoidal, fuzzy number, modified S-curve function, fuzzy simplex method. Irqi Journl of Sttistil Siene () The Fourth Sientifi Conferene of the College of Computer Siene & Mthemtis pp [-] Trnsformtion Liner Memership Funtion y Using the Modified S- Curve Shorish Omer dull Dr.

More information

Fundamentals of Engineering Analysis ENGR Matrix Multiplication, Types

Fundamentals of Engineering Analysis ENGR Matrix Multiplication, Types Fundmentls of Engineering Anlysis ENGR - Mtri Multiplition, Types Spring Slide Mtri Multiplition Define Conformle To multiply A * B, the mtries must e onformle. Given mtries: A m n nd B n p The numer of

More information

Adjacency. Adjacency Two vertices u and v are adjacent if there is an edge connecting them. This is sometimes written as u v.

Adjacency. Adjacency Two vertices u and v are adjacent if there is an edge connecting them. This is sometimes written as u v. Terminology Adjeny Adjeny Two verties u nd v re djent if there is n edge onneting them. This is sometimes written s u v. v v is djent to nd ut not to. 2 / 27 Neighourhood Neighourhood The open neighourhood

More information

Approximate Joins for Data Centric XML

Approximate Joins for Data Centric XML Approximte Joins for Dt Centri XML Nikolus Augsten 1, Mihel Böhlen 1, Curtis Dyreson, Johnn Gmper 1 1 Fulty of Computer Siene, Free University of Bozen-Bolzno Dominiknerpltz 3, Bozen, Itly {ugsten,oehlen,gmper}@inf.uniz.it

More information

Clinopyroxene. Pyroxene. Clinopyroxene. Compositional Groups

Clinopyroxene. Pyroxene. Clinopyroxene. Compositional Groups Cpx - or Cli Monolini Composition sed on 3 end memer omponents CSiO 3 - wollstonite MgSiO 3 - linoensttite FeSiO 3 - linoferrosilite Cpx generl formul Augite C,Mg,Fe,Al) 2 (Si, Al) 2 O 6 Common px hedenergite

More information

Analysis of Computed Diffraction Pattern Diagram for Measuring Yarn Twist Angle

Analysis of Computed Diffraction Pattern Diagram for Measuring Yarn Twist Angle Textiles nd Light ndustril Science nd Technology (TLST) Volume 3, 2014 DO: 10.14355/tlist.2014.0301.01 http://www.tlist-journl.org Anlysis of Computed Diffrction Pttern Digrm for Mesuring Yrn Twist Angle

More information

APPLICATIONS OF INTEGRATION

APPLICATIONS OF INTEGRATION Chpter 3 DACS 1 Lok 004/05 CHAPTER 5 APPLICATIONS OF INTEGRATION 5.1 Geometricl Interprettion-Definite Integrl (pge 36) 5. Are of Region (pge 369) 5..1 Are of Region Under Grph (pge 369) Figure 5.7 shows

More information

Section 5.3 : Finding Area Between Curves

Section 5.3 : Finding Area Between Curves MATH 9 Section 5. : Finding Are Between Curves Importnt: In this section we will lern just how to set up the integrls to find re etween curves. The finl nswer for ech emple in this hndout is given for

More information

UTMC APPLICATION NOTE UT1553B BCRT TO INTERFACE PSEUDO-DUAL-PORT RAM ARCHITECTURE INTRODUCTION ARBITRATION DETAILS DESIGN SELECTIONS

UTMC APPLICATION NOTE UT1553B BCRT TO INTERFACE PSEUDO-DUAL-PORT RAM ARCHITECTURE INTRODUCTION ARBITRATION DETAILS DESIGN SELECTIONS UTMC APPLICATION NOTE UT1553B BCRT TO 80186 INTERFACE INTRODUCTION The UTMC UT1553B BCRT is monolithi CMOS integrte iruit tht provies omprehensive Bus Controller n Remote Terminl funtions for MIL-STD-

More information

Last Time? Ray Casting II. Explicit vs. Implicit? Assignment 1: Ray Casting. Object-Oriented Design. Graphics Textbooks

Last Time? Ray Casting II. Explicit vs. Implicit? Assignment 1: Ray Casting. Object-Oriented Design. Graphics Textbooks Csting II Lst Time? Csting / Tring Orthogrphi Cmer epresenttion (t) = origin + t * diretion -Sphere Intersetion -lne Intersetion Impliit vs. Epliit epresenttions MIT EECS 6.837, Cutler nd Durnd 1 MIT EECS

More information

Tiling Triangular Meshes

Tiling Triangular Meshes Tiling Tringulr Meshes Ming-Yee Iu EPFL I&C 1 Introdution Astrt When modelling lrge grphis senes, rtists re not epeted to model minute nd repetitive fetures suh s grss or snd with individul piees of geometry

More information

Calculus Differentiation

Calculus Differentiation //007 Clulus Differentition Jeffrey Seguritn person in rowot miles from the nerest point on strit shoreline wishes to reh house 6 miles frther down the shore. The person n row t rte of mi/hr nd wlk t rte

More information

CS553 Lecture Introduction to Data-flow Analysis 1

CS553 Lecture Introduction to Data-flow Analysis 1 ! Ide Introdution to Dt-flow nlysis!lst Time! Implementing Mrk nd Sweep GC!Tody! Control flow grphs! Liveness nlysis! Register llotion CS553 Leture Introdution to Dt-flow Anlysis 1 Dt-flow Anlysis! Dt-flow

More information

Depth and Transient Imaging with Compressive SPAD Array Cameras Supplementary Material

Depth and Transient Imaging with Compressive SPAD Array Cameras Supplementary Material Depth nd Trnsient Imging with Compressive SPAD Arry Cmers Supplementry Mteril Qilin Sun Xiong Dun Yifn Peng Wolfgng Heidrih King Adullh University of Siene nd Tehnology In this supplement we present dditionl

More information

Orientation & Quaternions. CSE169: Computer Animation Instructor: Steve Rotenberg UCSD, Spring 2016

Orientation & Quaternions. CSE169: Computer Animation Instructor: Steve Rotenberg UCSD, Spring 2016 Orienttion & Quternions CSE69: Computer Animtion Instrutor: Steve Rotenberg UCSD, Spring 6 Orienttion Orienttion We will define orienttion to men n objet s instntneous rottionl onfigurtion Think of it

More information

Multi-dimensional Selectivity Estimation Using Compressed Histogram Information*

Multi-dimensional Selectivity Estimation Using Compressed Histogram Information* Multi-dimensionl Seletivity Estimtion Using Compressed Histogrm Informtion* Ju-Hong Lee Deo-Hwn Kim Chin-Wn Chung À Deprtment of Informtion nd Communition Engineering À Deprtment of Computer Siene Kore

More information

B. Definition: The volume of a solid of known integrable cross-section area A(x) from x = a

B. Definition: The volume of a solid of known integrable cross-section area A(x) from x = a Mth 176 Clculus Sec. 6.: Volume I. Volume By Slicing A. Introduction We will e trying to find the volume of solid shped using the sum of cross section res times width. We will e driving towrd developing

More information

Math 35 Review Sheet, Spring 2014

Math 35 Review Sheet, Spring 2014 Mth 35 Review heet, pring 2014 For the finl exm, do ny 12 of the 15 questions in 3 hours. They re worth 8 points ech, mking 96, with 4 more points for netness! Put ll your work nd nswers in the provided

More information

Area & Volume. Chapter 6.1 & 6.2 September 25, y = 1! x 2. Back to Area:

Area & Volume. Chapter 6.1 & 6.2 September 25, y = 1! x 2. Back to Area: Bck to Are: Are & Volume Chpter 6. & 6. Septemer 5, 6 We cn clculte the re etween the x-xis nd continuous function f on the intervl [,] using the definite integrl:! f x = lim$ f x * i )%x n i= Where fx

More information

Math 17 - Review. Review for Chapter 12

Math 17 - Review. Review for Chapter 12 Mth 17 - eview Ying Wu eview for hpter 12 1. Given prmetric plnr curve x = f(t), y = g(t), where t b, how to eliminte the prmeter? (Use substitutions, or use trigonometry identities, etc). How to prmeterize

More information

II. THE ALGORITHM. A. Depth Map Processing

II. THE ALGORITHM. A. Depth Map Processing Lerning Plnr Geometric Scene Context Using Stereo Vision Pul G. Bumstrck, Bryn D. Brudevold, nd Pul D. Reynolds {pbumstrck,brynb,pulr2}@stnford.edu CS229 Finl Project Report December 15, 2006 Abstrct A

More information

COMMON FRACTIONS. or a / b = a b. , a is called the numerator, and b is called the denominator.

COMMON FRACTIONS. or a / b = a b. , a is called the numerator, and b is called the denominator. COMMON FRACTIONS BASIC DEFINITIONS * A frtion is n inite ivision. or / * In the frtion is lle the numertor n is lle the enomintor. * The whole is seprte into "" equl prts n we re onsiering "" of those

More information

Robust internal multiple prediction algorithm Zhiming James Wu, Sonika, Bill Dragoset*, WesternGeco

Robust internal multiple prediction algorithm Zhiming James Wu, Sonika, Bill Dragoset*, WesternGeco Roust internl multiple preition lgorithm Zhiming Jmes Wu, Sonik, Bill Drgoset*, WesternGeo Summry Multiple ttenution is n importnt t proessing step for oth mrine n ln t. Tehniques for surfe- rpily in the

More information

Paradigm 5. Data Structure. Suffix trees. What is a suffix tree? Suffix tree. Simple applications. Simple applications. Algorithms

Paradigm 5. Data Structure. Suffix trees. What is a suffix tree? Suffix tree. Simple applications. Simple applications. Algorithms Prdigm. Dt Struture Known exmples: link tble, hep, Our leture: suffix tree Will involve mortize method tht will be stressed shortly in this ourse Suffix trees Wht is suffix tree? Simple pplitions History

More information

Photovoltaic Panel Modelling Using a Stochastic Approach in MATLAB &Simulink

Photovoltaic Panel Modelling Using a Stochastic Approach in MATLAB &Simulink hotovolti nel Modelling Using Stohsti Approh in MATLAB &Simulink KAREL ZALATILEK, JAN LEUCHTER eprtment of Eletril Engineering University of efene Kouniov 65, 61 City of Brno CZECH REUBLIC krelzpltilek@unoz,

More information

THE DYNAMIC MODELING OF A SUBSYSTEM FOR THE UPPER SUPPORTING STRUCTURE OF A BUCKET WHEEL EXCAVATOR

THE DYNAMIC MODELING OF A SUBSYSTEM FOR THE UPPER SUPPORTING STRUCTURE OF A BUCKET WHEEL EXCAVATOR ANNALS of Fulty Engineering Hunedor Interntionl Journl of Engineering Tome XIV [06] Fsiule [Februry] ISSN: 584-665 [print; online] ISSN: 584-67 [CD-Rom; online] free-ess multidisiplinry publition of the

More information

Profile Based Sub-Image Search in Image Databases

Profile Based Sub-Image Search in Image Databases Profile Bsed Su-Imge Serh in Imge Dtses Vishwkrm Singh 1, Amuj K. Singh 2 Deprtment of Computer Siene, University of Cliforni, Snt Brr, USA 1 vsingh@s.us.edu, 2 muj@s.us.edu Astrt Su-imge serh with high

More information

Application of FEA to Image-based Models of Electrical Trees with Uniform Conductivity

Application of FEA to Image-based Models of Electrical Trees with Uniform Conductivity IEEE Trnstions on Dieletris nd Eletril Insultion Vol. 22, No. 3; June 2015 1537 Applition of FEA to Imge-sed Models of Eletril Trees with Uniform Condutivity Simon M. Rowlnd 1, Roger Shurh 1,2, Mihlis

More information

Section 2.3 Functions. Definition: Let A and B be sets. A function (mapping, map) f from A to B, denoted f :A B, is a subset of A B such that

Section 2.3 Functions. Definition: Let A and B be sets. A function (mapping, map) f from A to B, denoted f :A B, is a subset of A B such that Setion 2.3 Funtions Definition: Let n e sets. funtion (mpping, mp) f from to, enote f :, is suset of suh tht x[x y[y < x, y > f ]] n [< x, y 1 > f < x, y 2 > f ] y 1 = y 2 Note: f ssoites with eh x in

More information

Convex Hull Algorithms. Convex hull: basic facts

Convex Hull Algorithms. Convex hull: basic facts CG Leture D Conve Hull Algorithms Bsi fts Algorithms: Nïve, Gift wrpping, Grhm sn, Quik hull, Divide-nd-onquer Lower ound 3D Bsi fts Algorithms: Gift wrpping, Divide nd onquer, inrementl Conve hulls in

More information

and vertically shrinked by

and vertically shrinked by 1. A first exmple 1.1. From infinite trnsltion surfe mp to end-periodi mp. We begin with n infinite hlf-trnsltion surfe M 0 desribed s in Figure 1 nd n ffine mp f 0 defined s follows: the surfe is horizontlly

More information

Graphing Conic Sections

Graphing Conic Sections Grphing Conic Sections Definition of Circle Set of ll points in plne tht re n equl distnce, clled the rdius, from fixed point in tht plne, clled the center. Grphing Circle (x h) 2 + (y k) 2 = r 2 where

More information

EXPONENTIAL & POWER GRAPHS

EXPONENTIAL & POWER GRAPHS Eponentil & Power Grphs EXPONENTIAL & POWER GRAPHS www.mthletics.com.u Eponentil EXPONENTIAL & Power & Grphs POWER GRAPHS These re grphs which result from equtions tht re not liner or qudrtic. The eponentil

More information

A Fast Delay Analysis Algorithm for The Hybrid Structured Clock Network

A Fast Delay Analysis Algorithm for The Hybrid Structured Clock Network A Fst Dely Anlysis Algorithm for The Hyrid Strutured Clok Network Yi Zou 1, Yii Ci 1,Qing Zhou 1,Xinlong Hong 1, Sheldon X.-D. Tn 2 1 Deprtment of Computer Siene nd Tehnology, Tsinghu University, Beijing,

More information