Analysis of ray stability and caustic formation in a layered moving fluid medium

Size: px
Start display at page:

Download "Analysis of ray stability and caustic formation in a layered moving fluid medium"

Transcription

1 Analyss of ray stablty and aust formaton n a layered movng flud medum Davd R. Bergman * Morrstown NJ Abstrat Caust formaton ours wthn a ray skeleton as optal or aoust felds propagate n a medum wth varable refratve propertes and are unphysal, ther presene beng an artfat of the ray approxmaton of the feld, and methods of orretng the feld near a aust are well known. Dfferental geometry provdes a novel approah to alulatng aoust ntensty, assessng ray stablty and loatng austs n aoust ray traes when the propertes of medum are ompletely arbtrary by dentfyng ponts on the aust wth onjugate ponts along varous rays. The method of geodes devaton s appled to the problem of determnng ray stablty and loatng austs n -dmensonal aoust ray traes n a layered movng medum. Spefally, a general treatment of aust formaton n sound duts and n peewse ontnuous meda s presented and appled to varous dealed and realst senaros. PACS: 43..+g, 4.5.Dp, m, h Wrtten n 4, Work performed under a summer faulty fellowshp program at the Naval Researh aboratory, Washngton, D.C * E-mal address: davdrbergman@ess-ll.om

2 I INTRODUCTION The applaton of dfferental geometry to the problem of aoust ray theory offers a unque way to trae austs whh has dstnt advantages over tradtonal methods []. The equatons for the aoust rays n a layered movng flud medum an be solved n terms of depth ntegrals, the fnal result gvng horontal range and travel tme as a funton of depth and the ntal ondtons at the soure. Causts are loated by expltly varyng the range wth respet to an ntal ray parameter, usually the launh angle, and searhng for rtal ponts of ths varaton []. In paraxal proedures ths devaton s determned by a seond order lnear equaton for the Jaob feld along the ray [], [3]. The Jaob feld of the ray system s dental to the geodes devaton vetor assoated wth the dfferental geometr struture whh arses from applaton of the method of haratersts to the equatons of hydrodynams [4]. Ths relaton onnets the onjugate pont theorems of dfferental geometry [5] to the phenomena of aust formaton. Caust formaton s a dvergent artfat of ray theory ndatng a breakdown of the exstene of a unque soluton of the ray equaton between two ponts leadng to an nfnte value for the feld ampltude n the lmt of geometr opts or aousts. Whle t s feasble to desrbe the aoust feld solely n terms of normal modes or n some ases exat solutons to the feld equatons, thus bypassng the ourrene of austs, rays have many dstnt advantages over felds and modes n ts relatve smplty, oneptual tangblty and omputatonal nformaton. Furthermore, modern treatments of austs provde aurate orreton terms to the feld near a aust [6], [7], hene ther prese loaton n spae and tme s needed.

3 By analyng the Jaob equaton assoated wth the rays one gets mmedate nformaton about the fousng propertes of a gven medum nludng ray stablty.e. whether ray onverge or dverge from ther neghborng rays wth smlar ntal ondtons and aust loaton. Caust formaton an our as a result of: a the smooth behavor of the loal sound-sped profle SSP or wnd profle, b refleton from a boundary, ntal ondtons or, d the presene of jump dsontnutes n the dervatves of the SSP and wnd profle. Although the later ase d may be ruled out on physal grounds ts effet s of nterest sne peewse ontnuous envronmental parameters are sometmes used to model underwater and atmospher aoustal systems. In suh ases dsontnutes n the sound speed and veloty gradents leads to the presene of a Dra delta funton n the Jaob equaton leadng to speal boundary ondtons for mathng the Jaob felds of dfferent segments at the boundary between two regons. In ths artle a omplete treatment of ray stablty and the formaton of austs n the aoust feld propagatng n a dmensonal layered movng flud bakground s presented. II THEORY IIa RAY THEORY The ray equatons n a movng layered flud medum are well known, havng been presented n ts general form, derved from the theory of haratersts [3], [8], [9]. The Cartesan oordnates and the travel tme are expressed here n the form of a spae tme trajetory and parametered by an arbtrary parameter,. Consder a medum wth Strtly speakng ths ray parameter s an affne parameter. Ths desgnaton s requred to ensure that the rays are n fat geodess. 3

4 sound speed and one dmensonal flud veloty of the form w x w, where s depth or heght. Rays that are ntally fred n the x plane do not turn out of ther ntal osulatng plane,.e. are torson free, and onsttute an effetve two dmensonal system. The range, depth and travel tme are gven by a frst order system, x w w, w, t w, 3 n whh dot denotes dfferentaton wth respet to, os os s the ray parameter and the ntegraton onstant s hosen suh that dt / d. Presented n ths form the rays or bharahtersts are null geodess of a pseudo- Remannan manfold 3. Ths onneton has been ponted out ndependently by Whte [9] and Unruh [] and served as a prmary nspraton for the work n ths artle. IIb JACOBI EQUATION, GEODESIC DEVIATION The spreadng or stablty equaton for the system of Eqs. 3 s θ s the ntal angle between the wavefront normal and the x axs. 3 Ths s smlar to the stuaton n general relatvty where these speal urves desrbe the trajetory of photons n a urved spae tme. 4

5 d Y d KY 5 n whh, K 3. 6 The quantty K measures the stablty of the ray system along a gven ray, labeled by. The ndvdual terms n Eq. 6 dretly affet the onvergene of neghborng rays n a predtable way. Equaton 5 has a general soluton, Y k 3 d k, 8 wth ntegraton onstants k and k set to math the ntal ondtons. To model sound from a pont soure the approprate ntal ondtons are Y and Y, where and δθ s an arbtrary ntal devaton n ray launh angle. Geometrally the devaton, Y, s tangent to the wavefront and gves a loal measure of the deformaton of the wavefront. Equaton 5 s the Jaob equaton of the ray system defned by Eqs - 3. From the nterpretaton of rays as null geodess t follows that K s a dret measure of the urvature of the manfold defned by the method of haratersts and Eq 5 s the equaton of geodes devaton, [5], []. For two dmensonal aousts problems Y an be used to alulate the ntensty of the aoust feld from the onservaton law 5

6 I Y nˆ tˆ onstant, n whh nˆ tˆ s the projeton of the ray tangent, tˆ, onto the wavefront normal, nˆ [], [3]. II CAUSTICS AND CONJUGATE POINTS A aust s the lous of ponts determned by solutons of the equaton Y. Solvng ths equaton gves,, the value of the ray parameter affne parameter at the aust loaton n terms of the ray s ntal ondtons. Insertng ths value nto the ray oordnates then gves the aust as a urve n spae, x,,,, parametered by the ntal ondtons of the ray. Based on the omments of the preedng seton, at these ponts the ntensty beomes nfnte. Ths dvergent artfat sgnals a breakdown n the valdty of ray theory and s orreted for by feld expansons near the aust. From the pont of vew of dfferental geometry the vanshng of an otherwse nontrval devaton vetor, Y, at two ponts along a geodes ndates a breakdown n the unqueness of solutons to the geodes equaton 4. Whle the general soluton gven n Eq 8 along wth the approprate ntal ondtons an be used to generate Yλ and ts behavor studed dretly, muh useful nformaton an be obtaned by studyng the Eq 5. There are three lmtng ases for whh a soluton to Eq 5 an be found n terms of ordnary funtons along wth a smple geometr nterpretaton. These ases, labeled I, II and III are desrbed by K = onstant >, K = and K onstant < respetvely. Defnng K, the soluton to Eq 5 n eah ase s 4 For a more omplete presentaton of the onjugate pont theorems, geodes devaton and Jaob theory the reader s referred to Referene [5]. 6

7 Asn Y A B, 9 Asnh n whh A, B and φ are ntegraton onstants. An example of a manfold orrespondng to eah ase s: sphere K = onstant >, plane K = and pseudo-sphere K onstant <. In ase I the devaton vetor has perod eros sgnalng the onset of onjugate ponts on an atual sphere or globe ths would orrespond to the North and South poles whh are passed perodally as one travels along any longtude. A hgher value of K produes a hgher frequeny of onjugate pont formaton. onseutve onjugate ponts, measured n unts of λ, s gven by The perod between / K. In the other two ases onjugate ponts wll not form. When the urvature depends on poston we an say the followng: f K onjugate ponts wll never form along the ray, f K onjugate ponts wll form along the ray as long as t obeys the ondtons of ompleteness 5. Inompleteness an our when an absorbng boundary s present n the envronment, n whh ase the ray may smply termnate before the aust gets a hane to form, or beause the soluton to Eq -3 s not well defned for all λ. A smple example of the latter ase ours for the SSP. The exat soluton for the rays s well known n ths ase [4] and an be used to verfy that the fnal value of s fnte for any ray launhed at an angle / / from a soure plaed at a fnte value of and landng at f. Of partular mportane are ases when, due to the onavty of 5 A geodes s omplete f ts ponts exst for all,. 7

8 the envronmental parameters, rays beome trapped between vertal turnng ponts. These trapped rays wll, deally, propagate forever n the horontal dreton as they osllate n the vertal dreton. If K > everywhere along the ray the onjugate pont theorem states that the perod n λ between onseutve onjugate ponts obeys the relaton K K, where Kmn K KMax. It s presely ths senaro that / / Max mn we onsder n the next seton. III APPICATION TO SMOOTH and w SOUND DUCTS The formalsm of seton II s appled to an envronment wth a smoothly varyng 6 SSP and horontal urrent or wnd, eah a funton of depth,. To better understand the effets of the envronment on the aoust feld onsder Eq. 5 n detal. Eah term n Eq. 6 has a dstnt effet on the feld desrbed as follows 7. The last term,, governs the fousng propertes of the medum aused by an nhomogeneous sound speed. A ray propagatng n a regon wth wll eventually enounter onjugate ponts, whle rays propagatng n regons where wll dverge from one another. The seond term, proportonal to w, s always negatve ausng ray dvergene. The frst term, w, wll ause fousng of aoust rays when and w are the same sgn. When both and w depend on depth the term wt n K ouples the sound-speed gradent to the flud-veloty gradent. Consder a smple stuaton n whh a wavegude s reated by a sound-speed profle wth everywhere and above below the wavegude axs. Furthermore let the 6 Here we mean, w, and all dervatves are ontnuous. 7 Ths desrpton appears n Ref [] and s added here for ompleteness. In the followng desrpton an overall fator of s gnored. 8

9 flud veloty satsfy w and w everywhere n the wavegude. For aoust rays wth, there s a separaton of neghborng rays above the wavegude axs and an enhaned onvergene of rays below the wavegude axs. When the bakground flud moton s weak and slowly varyng, the leadng-order terms n Eq. 6 are w envronmental parameters., ndatng that the domnant effets are due to the onavty of the The sound-speed and wnd gradents affet the bendng and twstng of the aoust rays. In general rays may be unbound or bound dependng on how the envronmental parameters vary wth poston. A ommon example of ths s gven by the Munk profle whh reates a natural sound dut or hannel [5]. From the omments of the prevous paragraph t s lear that duted regons may be reated n the atmosphere or oean by the onavty of ether the wnd or sound-speed. Consder an envronment wth smooth and w suh that at some depth, : w, and w. These ondtons defne a sound dut wave gude at, near whh / and w w w /. Furthermore, sne w, a pont soure plaed on the sound dut axs, =, wll launh two speal rays desrbed by ntal ondtons p = ±, whh travel along the sound hannel axs n the ± x dretons. These two rays are desrbed exatly by: t, = and x x w t. The exat soluton to Eqs - 3 for quadrat and w and arbtrary ntal ondtons nvolve nomplete ellpt ntegrals. An exat soluton to equaton 5 may be developed along the sound hannel axs thus allowng a paraxal desrpton of the near axs rays n terms of ordnary funtons, Eq. 9. Evaluatng the setonal urvature, K, along the rays on the sound hannel axs gves the followng onstant 9

10 K w, for rght/left axs rays. Fgure llustrates sample ray fans about the sound hannel axs - 36 o to +36 o, n 6 o nrements for ~ and w ~ b. Column A/B llustrates rays fred to the left/rght aganst/wth the wnd. The rows a to e orrespond to nreasng values of the parameter b =,.,.4,.8 and respetvely. In all 5 ases the flow s subson. The rghtward ray fan has enhaned onvergene due to the presene of the wnd whle the leftward ray fan shows the opposte effet. As the onavty of w s nreased the ray fans suffer more severe aberraton untl at b = the austs n the left ray fan are ompletely destroyed and rays near the axs begn to dverge lnearly. At b = the onvergene n the left ray fan s ompletely destroyed. A detaled applaton of equaton allows one to predt exatly where the tps of the aust urves on the dut axs our when, / / x n b. Fgure ompares the onvergene and dvergene ones for b = and b =, for other values of b the one boundares depend senstvely on the ndvdual ray oordnates. A strkng feature of ths behavor s that t s ompletely determned by the onavty of the wnd profle and not at all by the loal Mah number n fat for the above example the soure s plaed n a statonary regon, w = m/s, and the onavty n w ompletely destroys the aust struture for p = - and b =. Hene, n general even very weak but rapdly hangng wnds an wreak havo on the stablty of rays n a sound dut. To onnet these analyses to a more realst example onsder a senaro n the oean n whh a sound dut s desrbed by the Munk profle along wth an osllatng urrent: D a e D and w we sn d, n whh

11 D d / d, and / tan, where λ s a haraterst wavelength of the urrent varatons not the affne parameter 8. The urrent, w, s fxed so the ondtons desrbed n the prevous example hold. From these profles 4d and w w /. The SSP s held fxed wth d = 5m, = 5m/s and ε =. an exaggerated Munk profle. From Eq. the free parameters of the wnd profle may be fxed n suh a way that K = n one dreton of the wavegude. Ths has been done here by hoosng α =.m - and alulatng w for some hoe of λ. Fgure 3 shows wnd profles for b λ = d w = 6.63m/s, λ = d w = 4.6m/s and d λ = d/ w =.69m/s along wth the SSP a. Fgure 4 shows a sample ray trae of the near axs rays for the hoe n Fg. 3b and pont soure plaed at = 5m. Ray fans for a pont soure on the wavegude axs launhed nto and aganst the urrent show mmense dsparty. Clearly these urrents are neglgble ompared to the loal sound speed of 5m/s and produe mnor orreton to travel tmes along rays near the wave gude axs. In spte of ths the ombned fousng propertes of and w on the axs ause serous hanges n the full aoust feld ndatng that these mnor urrents annot be gnored n ntensty alulatons. Fgure 5 shows the exat same ray traes as n Fg. 4 wth the flud speed nreased by a fator of. Ths nrease n ampltude auses K < along the wavegude. Comparng Fg. 4 to Fg. 5 one an learly see the ntal exponental rate of dvergene for rays near the axs n Fg. 5 as ompared to the lnear dvergene llustrated n Fg Ths urrent profle s hosen for llustratve purposes sne t s easy to mplement and demonstrates the profound effet that a small urrent an have on ray stablty. Smlar profles desrbe flud flow n Ekman layers, for example see Ref [6]. Stratfed urrents of ths form have been observed n the Indan oean durng monsoon season, see Ref [7].

12 IV PIECEWISE CONTINUOUS PROFIES, GENERA TREATMENT Consder a peewse model of an oean or atmospher envronment n whh the medum s dvded n depth nto a fnte number of regons, see Fg. 6. Ray segments are ndexed n order of nreasng ray parameter wthout referene to the orrespondng regon. The Jaob feld s a funton of affne parameter evaluated along the ray path. Eah ray segment n spae orresponds to an nrement of affne parameter. The SSP and wnd profle take the form N N N, N N N D w D D w D w w wth and D w D w. The frst and seond dervatves of and w are N N N N N N D w D D w D w w N N N N

13 w w N N D w D D wn DN w D respetvely, n whh f f f. Equaton 5 s solved n eah regon wth the urvature term determned by the Heavsde funtons Θ appearng n the above expressons. The boundary ondtons at eah ourrene of an nterfae determne the onstants of ntegraton for the Jaob feld n terms of the ntal ondtons. The Jaob feld s ontnuous and the dsontnuty n Y s determned by ntegratng Eq. 5 along the ray as t passes aross a boundary. Two dstnt ways of analyng ths problem arse that requre a slghtly dfferent treatment. In the frst ase t s assumed that Eq. 5 may be solved to gve Y and boundary ondtons are appled to ponts along the axs as desrbed n Fg. In the seond ase t s assumed that the soluton s n the form Y gven by Eq. 8. Boundary ondtons are appled at a depth where an nterfae dfferent layers ours. IVa CASE, BOUNDARY CONDITIONS IN λ Passng from one regon to another n spae orresponds to boundary pont along the λ axs, see Fg. 7. The frst boundary ondton s Y B Y B. Integratng Eq. 5 aross a boundary leads to the followng ondton on the dsontnuty n Y, Y Y QY, 3 B B B Q, 4 B B B B 3

14 where the subsrpt B means evaluated at the boundary and, are the dsontnutes n the flud veloty and sound speed respetvely at the boundary. Sne Y s a soluton to a seond order equaton the values of Y and Y ompletely B B determne the soluton along the -th segment of the ray. One the rays are mathed up the parameter value, tme of flght and range for eah segment are found usng solutons to the ray equaton. IVb CASE, BOUNDARY CONDITIONS IN f We frst express the soluton Y k f k g, where g and 3 d. ayers are ndexed aordng to heght along the axs from bottom to top, the soluton n eah regon beng Y k f k g. A gven ray,, wll pass through one regon more than one, perhaps an nfnte number of tmes. The bare soluton along eah of these segments s the same but the onstants of ntegraton wll be dfferent. Applyng boundary ondtons at a layer nterfae, wth Y Y, gves the oeffents f the Y n terms of those of Y. k k,, D f g D f g q f f q f f g D D g g q g f g f g q k f g k,, 5 n whh g, q D Q and the denttes f f D f g f B g g and evaluated at the boundary have been used to smplfy as many terms as possble. The 4

15 oeffents of Y along any ray segment are expressed n terms of the ntal ondtons by repeated applaton of Eq. 5. IV EXAMPE Peewse lnear profles are partularly easy to deal wth sne the rays and devaton vetor may be expressed n losed form n terms of ordnary funtons. The effet of the jump dsontnutes that these profles produe n K on the aoust feld desrbed n the last setons s llustrated here for two ases where sound from a pont soure plaed n a homogeneous statonary medum, = onstant, w = for > s ndent on an nhomogeneous half spae: ase A, /, w = and ase B, = onstant, w w /, for. The rays n eah nhomogeneous half are well known. The devaton vetor for < s Y A and for Y A for ase A, B B Y A osh B snh, n whh w, for ase B. Fgure 9 llustrates a ray fan and austs for ase A wth = and =. The aust urve n the homogeneous spae s gven by p, x 4 p 6 or smply x 7 8 5

16 for the aust urve n the upper half spae [8]. The aust urve n the lower porton of spae s determned by the roots of the followng equaton for p 6 4 b p bb p b p a 8 n whh b and a x for fxed s. The aust as a parametered urve x p, p 3 p 3 x, p p p p. 9 p A usp forms n the lower half spae whh an be loated by fndng values of ntal launh angles for whh the tangent vetor of the aust urve vanshes. Dfferentatng Eq. 9 gves the followng for the aust tangent p p 3 3 p 3/ p dx, a dp d dp pp p 5/ p p. b Both vansh when p 3 3. Ths usp wll always exst n the nhomogeneous spae as long as. Ray traes and austs are shown for a soure plaed at m n 6

17 Fgure 9. The austs, appearng on top of the ray trae, were derved from the solutons presented here. One an see the development of the usp n the lower half spae. The tal of the aust approahes ero as x. In the lmtng ase where the soure n plaed on the x axs the usp moves rght up to the soure and the tal merges wth the x axs. Both ases, A and B, desrbed above produe a usp n the nhomogeneous half spae. In ase B ths only ours for rays launhed n the same dreton as the wnd whle those launhed n the opposte dreton eventually turn n the dreton of the wnd and do not return to the homogeneous regon. Applyng that same proedure on Yλ for ase B leads to a very lengthy expresson for the aust urve whh s omtted here n the nterest of brevty. V DISCUSSION AND CONCUSION In ths artle a new method of determnng aust formaton n layered meda s presented. The method presented here generales to three dmensonal ray trang and four dmensonal spae-tme ray trang wth SSP and wnd dependng on all three Cartesan oordnates and tme []. A sgnfant feature of the applaton to layered meda s the exstene of a soluton to the devaton equaton Jaob equaton, Eq. 8. Ths soluton may be nluded wth the standard range and travel tme ntegrals used n oean and atmospher aousts towards onstrutng a full ray theoret verson of the aoust feld. The applaton dsussed here s ts use n determnng austs as parametered urves n spae and judgng ray stablty whh has dstnt advantages to other approahes n ts oneptual tangblty and omputatonal use. The author has 7

18 mplemented Eq. 5 n a numer dynam ray trae proedure wth the result that omputaton tme was redued ompared to the tehnque of numerally dfferentatng the ray paths. From the dentfaton of the stablty parameter K wth the Gaussan urvature the onjugate pont theorems provde mmedate omputatonal value and oneptual nsghts nto the behavor of austs. ACKNOWEDGEMENTS The author thanks the Offe of Naval Researh and the Ameran Soety for Engneerng Eduaton for hostng a summer faulty fellowshp at the Naval Researh aboratory NR n Washngton DC for the summer 4, durng whh tme most of ths work were ompleted. REFERENCES [] D. R. Bergman, Applaton of Dfferental Geometry to Aoust: Development of a Generaled Paraxal Ray-Trae Proedure from Geodes Devaton, NR/MR/ , Naval Researh aboratory, Washngton DC, January 8, 5 [] Y. A. Kravtsov and Y. Orlov, Causts, Catastrophes and Wave Felds, nd ed., Sprnger, New York, 999 [3] V. Cerveny, Sesm Ray Theory, Cambrdge Unversty Press, Cambrdge, [4] R. Courant and D. Hlbert, Methods of Mathematal Physs, Vol. II, John Wley & Sons, New York, 96 [5] S. Kobayash and K. Nomu, Foundatons of Dfferental Geometry, Vol. II, John Wley & Sons, New York, 963 8

19 [6] D. udwg, Unform Asymptot Expansons at a Caust, Comm. Pure and Appled Math., Vol. XIX, p [7] M. M. Boone and E. A. Vermaas, A new ray-trang algorthm for arbtrary nhomogeneous and movng meda, nludng austs, J. Aoust. So. Am., 9 4, Pt., p [8] R. W. Whte, Aoust Ray Trang n Movng Inhomogeneous Fluds, J. Aoust. So. Am. 53, No. 6, p [9] R. J. Thompson, :Ray Theory for an Inhomogeneous Movng Medum, J. Aoust. So. Am. 5, No. 5 Part, p [] W. G. Unruh, Expermental blak hole evaporaton?, Phys. Rev. ett. 46, [] M. Spvak, A Comprehensve Introduton to Dfferental Geometry Volume Fve, Thrd Edton, Publsh or Persh, INC. Houston, Texas,999 [] E. S. Eby and. T. Ensten, General Spreadng oss Equaton, etter to the Edtor, J. Aoust. So. Am. 965 [3] D. Blokhntev, The Propagaton of Sound n an Inhomogeneous and Movng Medum I, J. Aoust. So. Am., Vol. 8, No., p [4] ] I. Tolstoy and C. S. Clay, Oean Aousts, Theory and Experment n Underwater Sound, MGraw-Hll, New York, 966 [5] W. H. Munk, Sound hannel n an exponentally stratfed oean wth applaton to SOFAR, J. Aoust. So. Am. 55, p [6] G. F. Spooner, Stablty of Free Surfae Ekman ayers, Journal of Physal Oeanography, Vol. 3, No. 4, p

20 [7] M. Tomak and J. S. Godfrey, Regonal Oeanography, Pergamon, New York, 994 [8]. M. Brekhovskkh, Waves n ayered Meda, Aadem Press, New York 96

21 FIGURE CAPTIONS. Sample ray fans for and w quadrat profles desrbed n the text for a pont soure plaed at =. Column A/B orresponds to rays launhed aganst/wth the flow of the flud whle the rows a e orrespond to nreasng values of b =,.,.4,.8,... Maps of the onvergene/dvergene ones and urves of ero urvature determned by the seton urvature, K, for a ase a and b ase e of fgure. The bold lnes are urves of ero urvature. These ones depend on the soure plaement. D 3. a Canonal Munk profle, e D, D = - d/d wth 5m/s, 5m d and.. b through d Osllatng urrent w we sn d, α =.m - and b β = π/d and w = 6.63m/s, β = π/d and w =.69m/s, d β = 4π/d and w = 4.6m/s. 4. Ray fans from a pont soure plaed n an oean envronment, desrbed by SSP and urrent form fg 3 a and b, at = 5m, wave gude axs. a aganst the urrent, wth the urrent, note the onjugate ponts along the wavegude axs n. b Enlarged lose up of the rays n fg a near the soure showng the ntal lnear dvergene. Note the aust formaton n a and b whh does not our n fg., Ae. Ths s due to the fat that far from the wavegude axs the onavty of w hanges. d Enlarged verson of for easy vewng.

22 5. Same stuaton as n fgure 4 wth the exepton that w = m/s whh nreases the onavty. The effet of ths on fgure s an nreased number of onjugate ponts and fg b learly llustrates ntal exponental dvergene. 6. Example of an envronment wth peewse lnear and w along wth a sample ray. The medum s dvded horontally, eah horontal seton labeled as Regon, =,, et. Eah pee of the ray whh rosses two onseutve boundares between layers s labeled segment, =,, et. 7. Sample plot of the devaton vetor, Y, as a funton of affne parameter, λ, for a peewse lnear SSP and w =. In ths ase the devaton vetor depends lnearly on λ along eah segment of the ray. The dotted lnes separate ndvdual segments. 8. Ray fan ndent on an nhomogeneous half spae desrbed n seton IV EXAMPE. The omplete ray fan n both the homogeneous and nhomogeneous regons s llustrated. The aust, dsplayed n bold, was plotted from the exat soluton presented n ths seton.

23 a A B b d e - 5 Depth Depth - - Range - 5 Range Fgure 3

24 5 b K > K < Depth K < K < K > K > K < Range 5 a Depth K > K > Range Fgure 4

25 a b -4 w w d w..5. Fgure 3 5

26 5 a 4 5k 4k b k d 5k 5 Fgure 4 6

27 5 a 4 5 5k 4k b 4 5k 5 5 5k d Fgure 5 7

28 Regon 6 segment segment 8 segment 5 Regon 5 5 Range Fgure 6 8

29 Y Y 7 Y Y 6 C C B Fgure 7 9

30 x Fgure 8 3

The Simulation of Electromagnetic Suspension System Based on the Finite Element Analysis

The Simulation of Electromagnetic Suspension System Based on the Finite Element Analysis 308 JOURNAL OF COMPUTERS, VOL. 8, NO., FEBRUARY 03 The Smulaton of Suspenson System Based on the Fnte Element Analyss Zhengfeng Mng Shool of Eletron & Mahanal Engneerng, Xdan Unversty, X an, Chna Emal:

More information

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

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

More information

Interval uncertain optimization of structures using Chebyshev meta-models

Interval uncertain optimization of structures using Chebyshev meta-models 0 th World Congress on Strutural and Multdsplnary Optmzaton May 9-24, 203, Orlando, Florda, USA Interval unertan optmzaton of strutures usng Chebyshev meta-models Jngla Wu, Zhen Luo, Nong Zhang (Tmes New

More information

Path Following Control of a Spherical Robot Rolling on an Inclined Plane

Path Following Control of a Spherical Robot Rolling on an Inclined Plane Sensors & ransduers, Vol., Speal Issue, May 3, pp. 4-47 Sensors & ransduers 3 by IFSA http://www.sensorsportal.om Path Followng Control of a Spheral Robot Rollng on an Inlned Plane ao Yu, Hanxu Sun, Qngxuan

More information

Connectivity in Fuzzy Soft graph and its Complement

Connectivity in Fuzzy Soft graph and its Complement IOSR Journal of Mathemats (IOSR-JM) e-issn: 2278-5728, p-issn: 2319-765X. Volume 1 Issue 5 Ver. IV (Sep. - Ot.2016), PP 95-99 www.osrjournals.org Connetvty n Fuzzy Soft graph and ts Complement Shashkala

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

Hermite Splines in Lie Groups as Products of Geodesics

Hermite Splines in Lie Groups as Products of Geodesics Hermte Splnes n Le Groups as Products of Geodescs Ethan Eade Updated May 28, 2017 1 Introducton 1.1 Goal Ths document defnes a curve n the Le group G parametrzed by tme and by structural parameters n the

More information

Research on Neural Network Model Based on Subtraction Clustering and Its Applications

Research on Neural Network Model Based on Subtraction Clustering and Its Applications Avalable onlne at www.senedret.om Physs Proeda 5 (01 ) 164 1647 01 Internatonal Conferene on Sold State Deves and Materals Sene Researh on Neural Networ Model Based on Subtraton Clusterng and Its Applatons

More information

Matrix-Matrix Multiplication Using Systolic Array Architecture in Bluespec

Matrix-Matrix Multiplication Using Systolic Array Architecture in Bluespec Matrx-Matrx Multplaton Usng Systol Array Arhteture n Bluespe Team SegFault Chatanya Peddawad (EEB096), Aman Goel (EEB087), heera B (EEB090) Ot. 25, 205 Theoretal Bakground. Matrx-Matrx Multplaton on Hardware

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

S1 Note. Basis functions.

S1 Note. Basis functions. S1 Note. Bass functons. Contents Types of bass functons...1 The Fourer bass...2 B-splne bass...3 Power and type I error rates wth dfferent numbers of bass functons...4 Table S1. Smulaton results of type

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

Progressive scan conversion based on edge-dependent interpolation using fuzzy logic

Progressive scan conversion based on edge-dependent interpolation using fuzzy logic Progressve san onverson based on edge-dependent nterpolaton usng fuzzy log P. Brox brox@mse.nm.es I. Baturone lum@mse.nm.es Insttuto de Mroeletróna de Sevlla, Centro Naonal de Mroeletróna Avda. Rena Meredes

More information

Parallelism for Nested Loops with Non-uniform and Flow Dependences

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

More information

A 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

Session 4.2. Switching planning. Switching/Routing planning

Session 4.2. Switching planning. Switching/Routing planning ITU Semnar Warsaw Poland 6-0 Otober 2003 Sesson 4.2 Swthng/Routng plannng Network Plannng Strategy for evolvng Network Arhtetures Sesson 4.2- Swthng plannng Loaton problem : Optmal plaement of exhanges

More information

Cluster ( Vehicle Example. Cluster analysis ( Terminology. Vehicle Clusters. Why cluster?

Cluster (  Vehicle Example. Cluster analysis (  Terminology. Vehicle Clusters. Why cluster? Why luster? referene funton R R Although R and R both somewhat orrelated wth the referene funton, they are unorrelated wth eah other Cluster (www.m-w.om) A number of smlar ndvduals that our together as

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

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

Optimal shape and location of piezoelectric materials for topology optimization of flextensional actuators

Optimal shape and location of piezoelectric materials for topology optimization of flextensional actuators Optmal shape and loaton of pezoeletr materals for topology optmzaton of flextensonal atuators ng L 1 Xueme Xn 2 Noboru Kkuh 1 Kazuhro Satou 1 1 Department of Mehanal Engneerng, Unversty of Mhgan, Ann Arbor,

More information

Measurement and Calibration of High Accuracy Spherical Joints

Measurement and Calibration of High Accuracy Spherical Joints 1. Introduton easurement and Calbraton of Hgh Auray Spheral Jonts Ale Robertson, Adam Rzepnewsk, Alexander Sloum assahusetts Insttute of Tehnolog Cambrdge, A Hgh auray robot manpulators are requred for

More information

Introduction to Seismology Spring 2008

Introduction to Seismology Spring 2008 MIT OpenCourseWare http://ow.mit.edu 1.510 Introdution to Seismology Spring 008 For information about iting these materials or our Terms of Use, visit: http://ow.mit.edu/terms. 1.510 Leture Notes 3.3.007

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

Semi-analytic Evaluation of Quality of Service Parameters in Multihop Networks

Semi-analytic Evaluation of Quality of Service Parameters in Multihop Networks U J.T. (4): -4 (pr. 8) Sem-analyt Evaluaton of Qualty of Serve arameters n Multhop etworks Dobr tanassov Batovsk Faulty of Sene and Tehnology, ssumpton Unversty, Bangkok, Thaland bstrat

More information

Color Texture Classification using Modified Local Binary Patterns based on Intensity and Color Information

Color Texture Classification using Modified Local Binary Patterns based on Intensity and Color Information Color Texture Classfaton usng Modfed Loal Bnary Patterns based on Intensty and Color Informaton Shvashankar S. Department of Computer Sene Karnatak Unversty, Dharwad-580003 Karnataka,Inda shvashankars@kud.a.n

More information

Structure from Motion

Structure from Motion Structure from Moton Structure from Moton For now, statc scene and movng camera Equvalentl, rgdl movng scene and statc camera Lmtng case of stereo wth man cameras Lmtng case of multvew camera calbraton

More information

A Fast Way to Produce Optimal Fixed-Depth Decision Trees

A Fast Way to Produce Optimal Fixed-Depth Decision Trees A Fast Way to Produe Optmal Fxed-Depth Deson Trees Alreza Farhangfar, Russell Grener and Martn Znkevh Dept of Computng Sene Unversty of Alberta Edmonton, Alberta T6G 2E8 Canada {farhang, grener, maz}@s.ualberta.a

More information

A Semi-parametric Approach for Analyzing Longitudinal Measurements with Non-ignorable Missingness Using Regression Spline

A Semi-parametric Approach for Analyzing Longitudinal Measurements with Non-ignorable Missingness Using Regression Spline Avalable at http://pvamu.edu/aam Appl. Appl. Math. ISSN: 93-9466 Vol., Issue (June 5), pp. 95 - Applatons and Appled Mathemats: An Internatonal Journal (AAM) A Sem-parametr Approah for Analyzng Longtudnal

More information

A DATA ANALYSIS CODE FOR MCNP MESH AND STANDARD TALLIES

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

More information

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

Multiscale Heterogeneous Modeling with Surfacelets

Multiscale Heterogeneous Modeling with Surfacelets 759 Multsale Heterogeneous Modelng wth Surfaelets Yan Wang 1 and Davd W. Rosen 2 1 Georga Insttute of Tehnology, yan.wang@me.gateh.edu 2 Georga Insttute of Tehnology, davd.rosen@me.gateh.edu ABSTRACT Computatonal

More information

TAR based shape features in unconstrained handwritten digit recognition

TAR based shape features in unconstrained handwritten digit recognition TAR based shape features n unonstraned handwrtten dgt reognton P. AHAMED AND YOUSEF AL-OHALI Department of Computer Sene Kng Saud Unversty P.O.B. 578, Ryadh 543 SAUDI ARABIA shamapervez@gmal.om, yousef@s.edu.sa

More information

Computing Volumes of Solids Enclosed by Recursive Subdivision Surfaces

Computing Volumes of Solids Enclosed by Recursive Subdivision Surfaces EUROGRAPHI 97 / D. Fellner and L. zrmay-kalos (Guest Edtors) olume 6, (997), Number 3 omputng olumes of olds Enlosed by Reursve ubdvson urfaes Jörg Peters and Ahmad Nasr Abstrat The volume of a sold enlosed

More information

Harmonic Coordinates for Character Articulation PIXAR

Harmonic Coordinates for Character Articulation PIXAR Harmonc Coordnates for Character Artculaton PIXAR Pushkar Josh Mark Meyer Tony DeRose Bran Green Tom Sanock We have a complex source mesh nsde of a smpler cage mesh We want vertex deformatons appled to

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

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

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

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

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

Bit-level Arithmetic Optimization for Carry-Save Additions

Bit-level Arithmetic Optimization for Carry-Save Additions Bt-leel Arthmet Optmzaton for Carry-Sae s Ke-Yong Khoo, Zhan Yu and Alan N. Wllson, Jr. Integrated Cruts and Systems Laboratory Unersty of Calforna, Los Angeles, CA 995 khoo, zhanyu, wllson @sl.ula.edu

More information

A Novel Dynamic and Scalable Caching Algorithm of Proxy Server for Multimedia Objects

A Novel Dynamic and Scalable Caching Algorithm of Proxy Server for Multimedia Objects Journal of VLSI Sgnal Proessng 2007 * 2007 Sprnger Sene + Busness Meda, LLC. Manufatured n The Unted States. DOI: 10.1007/s11265-006-0024-7 A Novel Dynam and Salable Cahng Algorthm of Proxy Server for

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

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

Link Graph Analysis for Adult Images Classification

Link Graph Analysis for Adult Images Classification Lnk Graph Analyss for Adult Images Classfaton Evgeny Khartonov Insttute of Physs and Tehnology, Yandex LLC 90, 6 Lev Tolstoy st., khartonov@yandex-team.ru Anton Slesarev Insttute of Physs and Tehnology,

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

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

Solitary and Traveling Wave Solutions to a Model. of Long Range Diffusion Involving Flux with. Stability Analysis

Solitary and Traveling Wave Solutions to a Model. of Long Range Diffusion Involving Flux with. Stability Analysis Internatonal Mathematcal Forum, Vol. 6,, no. 7, 8 Soltary and Travelng Wave Solutons to a Model of Long Range ffuson Involvng Flux wth Stablty Analyss Manar A. Al-Qudah Math epartment, Rabgh Faculty of

More information

Solving two-person zero-sum game by Matlab

Solving two-person zero-sum game by Matlab Appled Mechancs and Materals Onlne: 2011-02-02 ISSN: 1662-7482, Vols. 50-51, pp 262-265 do:10.4028/www.scentfc.net/amm.50-51.262 2011 Trans Tech Publcatons, Swtzerland Solvng two-person zero-sum game by

More information

Some Advanced SPC Tools 1. Cumulative Sum Control (Cusum) Chart For the data shown in Table 9-1, the x chart can be generated.

Some Advanced SPC Tools 1. Cumulative Sum Control (Cusum) Chart For the data shown in Table 9-1, the x chart can be generated. Some Advanced SP Tools 1. umulatve Sum ontrol (usum) hart For the data shown n Table 9-1, the x chart can be generated. However, the shft taken place at sample #21 s not apparent. 92 For ths set samples,

More information

Improved Accurate Extrinsic Calibration Algorithm of Camera and Two-dimensional Laser Scanner

Improved Accurate Extrinsic Calibration Algorithm of Camera and Two-dimensional Laser Scanner JOURNAL OF MULTIMEDIA, VOL. 8, NO. 6, DECEMBER 013 777 Improved Aurate Extrns Calbraton Algorthm of Camera and Two-dmensonal Laser Sanner Janle Kong, Le Yan*, Jnhao Lu, Qngqng Huang, and Xaokang Dng College

More information

Scalable Parametric Runtime Monitoring

Scalable Parametric Runtime Monitoring Salable Parametr Runtme Montorng Dongyun Jn Patrk O Nel Meredth Grgore Roşu Department of Computer Sene Unversty of Illnos at Urbana Champagn Urbana, IL, U.S.A. {djn3, pmeredt, grosu}@s.llnos.edu Abstrat

More information

FUZZY SEGMENTATION IN IMAGE PROCESSING

FUZZY SEGMENTATION IN IMAGE PROCESSING FUZZY SEGMENTATION IN IMAGE PROESSING uevas J. Er,, Zaldívar N. Danel,, Roas Raúl Free Unverstät Berln, Insttut für Inforat Tausstr. 9, D-495 Berln, Gerany. Tel. 0049-030-8385485, Fax. 0049-030-8387509

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

Inverse-Polar Ray Projection for Recovering Projective Transformations

Inverse-Polar Ray Projection for Recovering Projective Transformations nverse-polar Ray Projecton for Recoverng Projectve Transformatons Yun Zhang The Center for Advanced Computer Studes Unversty of Lousana at Lafayette yxz646@lousana.edu Henry Chu The Center for Advanced

More information

Wishing you all a Total Quality New Year!

Wishing you all a Total Quality New Year! Total Qualty Management and Sx Sgma Post Graduate Program 214-15 Sesson 4 Vnay Kumar Kalakband Assstant Professor Operatons & Systems Area 1 Wshng you all a Total Qualty New Year! Hope you acheve Sx sgma

More information

Post-Processing of Air Entrainment on NASIR Flow Solver Results for Skimming Flow over Stepped Chutes

Post-Processing of Air Entrainment on NASIR Flow Solver Results for Skimming Flow over Stepped Chutes Proeedngs of the 9th WSEAS Internatonal Conferene on Automat Control, Modelng & Smulaton, Istanbul, Turke, Ma 7-9, 7 Post-Proessng of Ar Entranment on NASIR Flow Solver Results for Skmmng Flow over Stepped

More information

A Study on the uncertainty and sensitivity in numerical simulation of parametric roll

A Study on the uncertainty and sensitivity in numerical simulation of parametric roll Downloaded from orbt.dtu.dk on: Nov, 8 A Study on the unertanty and senstvty n numeral smulaton of parametr roll Cho, Ju Hyuk; Nelsen, Ulrk Dam; Jensen, Jørgen Junher Publshed n: Proeedngs of the th Internatonal

More information

REGISTRATION OF TERRESTRIAL LASER SCANNER DATA USING IMAGERY INTRODUCTION

REGISTRATION OF TERRESTRIAL LASER SCANNER DATA USING IMAGERY INTRODUCTION EGISTATION OF TEESTIAL LASE SCANNE DATA USING IMAGEY Khall Al-Manasr, Ph.D student Clve S. Fraser, Professor Department of Geomats Unversty of Melbourne Vtora 3010 Australa k.al-manasr@pgrad.unmelb.edu.au.fraser@unmelb.edu.au

More information

On the End-to-end Call Acceptance and the Possibility of Deterministic QoS Guarantees in Ad hoc Wireless Networks

On the End-to-end Call Acceptance and the Possibility of Deterministic QoS Guarantees in Ad hoc Wireless Networks On the End-to-end Call Aeptane and the Possblty of Determnst QoS Guarantees n Ad ho Wreless Networks S. Srram T. heemarjuna Reddy Dept. of Computer Sene Dept. of Computer Sene and Engneerng Unversty of

More information

Machine Learning 9. week

Machine Learning 9. week Machne Learnng 9. week Mappng Concept Radal Bass Functons (RBF) RBF Networks 1 Mappng It s probably the best scenaro for the classfcaton of two dataset s to separate them lnearly. As you see n the below

More information

Minimize Congestion for Random-Walks in Networks via Local Adaptive Congestion Control

Minimize Congestion for Random-Walks in Networks via Local Adaptive Congestion Control Journal of Communatons Vol. 11, No. 6, June 2016 Mnmze Congeston for Random-Walks n Networks va Loal Adaptve Congeston Control Yang Lu, Y Shen, and Le Dng College of Informaton Sene and Tehnology, Nanjng

More information

A MPAA-Based Iterative Clustering Algorithm Augmented by Nearest Neighbors Search for Time-Series Data Streams

A MPAA-Based Iterative Clustering Algorithm Augmented by Nearest Neighbors Search for Time-Series Data Streams A MPAA-Based Iteratve Clusterng Algorthm Augmented by Nearest Neghbors Searh for Tme-Seres Data Streams Jessa Ln 1, Mha Vlahos 1, Eamonn Keogh 1, Dmtros Gunopulos 1, Janwe Lu 2, Shouan Yu 2, and Jan Le

More information

y and the total sum of

y and the total sum of Lnear regresson Testng for non-lnearty In analytcal chemstry, lnear regresson s commonly used n the constructon of calbraton functons requred for analytcal technques such as gas chromatography, atomc absorpton

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

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

ABHELSINKI UNIVERSITY OF TECHNOLOGY Networking Laboratory

ABHELSINKI UNIVERSITY OF TECHNOLOGY Networking Laboratory ABHELSINKI UNIVERSITY OF TECHNOLOGY Networkng Laboratory Load Balanng n Cellular Networks Usng Frst Poly Iteraton Johan an Leeuwaarden Samul Aalto & Jorma Vrtamo Networkng Laboratory Helsnk Unersty of

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

Reading. 14. Subdivision curves. Recommended:

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

More information

Optimization Methods: Integer Programming Integer Linear Programming 1. Module 7 Lecture Notes 1. Integer Linear Programming

Optimization Methods: Integer Programming Integer Linear Programming 1. Module 7 Lecture Notes 1. Integer Linear Programming Optzaton Methods: Integer Prograng Integer Lnear Prograng Module Lecture Notes Integer Lnear Prograng Introducton In all the prevous lectures n lnear prograng dscussed so far, the desgn varables consdered

More information

BioTechnology. An Indian Journal FULL PAPER. Trade Science Inc.

BioTechnology. An Indian Journal FULL PAPER. Trade Science Inc. [Type text] [Type text] [Type text] ISSN : 0974-74 Volume 0 Issue BoTechnology 04 An Indan Journal FULL PAPER BTAIJ 0() 04 [684-689] Revew on Chna s sports ndustry fnancng market based on market -orented

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

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

Steganalysis of DCT-Embedding Based Adaptive Steganography and YASS

Steganalysis of DCT-Embedding Based Adaptive Steganography and YASS Steganalyss of DCT-Embeddng Based Adaptve Steganography and YASS Qngzhong Lu Department of Computer Sene Sam Houston State Unversty Huntsvlle, TX 77341, U.S.A. lu@shsu.edu ABSTRACT Reently well-desgned

More information

The Codesign Challenge

The Codesign Challenge ECE 4530 Codesgn Challenge Fall 2007 Hardware/Software Codesgn The Codesgn Challenge Objectves In the codesgn challenge, your task s to accelerate a gven software reference mplementaton as fast as possble.

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 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

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

A Flexible Solution for Modeling and Tracking Generic Dynamic 3D Environments*

A Flexible Solution for Modeling and Tracking Generic Dynamic 3D Environments* A Flexble Soluton for Modelng and Trang Gener Dynam 3D Envronments* Radu Danesu, Member, IEEE, and Sergu Nedevsh, Member, IEEE Abstrat The traff envronment s a dynam and omplex 3D sene, whh needs aurate

More information

Angle-Independent 3D Reconstruction. Ji Zhang Mireille Boutin Daniel Aliaga

Angle-Independent 3D Reconstruction. Ji Zhang Mireille Boutin Daniel Aliaga Angle-Independent 3D Reconstructon J Zhang Mrelle Boutn Danel Alaga Goal: Structure from Moton To reconstruct the 3D geometry of a scene from a set of pctures (e.g. a move of the scene pont reconstructon

More information

AVideoStabilizationMethodbasedonInterFrameImageMatchingScore

AVideoStabilizationMethodbasedonInterFrameImageMatchingScore Global Journal of Computer Sene and Tehnology: F Graphs & vson Volume 7 Issue Verson.0 Year 207 Type: Double Blnd Peer Revewed Internatonal Researh Journal Publsher: Global Journals In. (USA) Onlne ISSN:

More information

Pattern Classification: An Improvement Using Combination of VQ and PCA Based Techniques

Pattern Classification: An Improvement Using Combination of VQ and PCA Based Techniques Ameran Journal of Appled Senes (0): 445-455, 005 ISSN 546-939 005 Sene Publatons Pattern Classfaton: An Improvement Usng Combnaton of VQ and PCA Based Tehnques Alok Sharma, Kuldp K. Palwal and Godfrey

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

Surface and Volume Discretization of Functionally Based Heterogeneous Objects

Surface and Volume Discretization of Functionally Based Heterogeneous Objects Surfae and Volume Dsretzaton of Funtonally Based Heterogeneous Objets Elena Kartasheva Insttute for Mathematal Modelng Russan Aademy of Sene Mosow, Russa ekart@mamod.ru Oleg Fryaznov Insttute for Mathematal

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

Bilateral Mesh Denoising

Bilateral Mesh Denoising Outlne Blateral Meh Denong S. Flehman, I. Dror,, D. Cohen-Or Tel Avv Unverty Preented by Derek Bradley Motvaton Prevou ork Blateral Meh Denong Image Proeng Bakground Blateral Image Flterng Tranformng from

More information

Image Representation & Visualization Basic Imaging Algorithms Shape Representation and Analysis. outline

Image Representation & Visualization Basic Imaging Algorithms Shape Representation and Analysis. outline mage Vsualzaton mage Vsualzaton mage Representaton & Vsualzaton Basc magng Algorthms Shape Representaton and Analyss outlne mage Representaton & Vsualzaton Basc magng Algorthms Shape Representaton and

More information

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

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

More information

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

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

More information

Line Clipping by Convex and Nonconvex Polyhedra in E 3

Line Clipping by Convex and Nonconvex Polyhedra in E 3 Lne Clppng by Convex and Nonconvex Polyhedra n E 3 Václav Skala 1 Department of Informatcs and Computer Scence Unversty of West Bohema Unverztní 22, Box 314, 306 14 Plzeò Czech Republc e-mal: skala@kv.zcu.cz

More information

We P9 16 Eigenray Tracing in 3D Heterogeneous Media

We P9 16 Eigenray Tracing in 3D Heterogeneous Media We P9 Eigenray Traing in 3D Heterogeneous Media Z. Koren* (Emerson), I. Ravve (Emerson) Summary Conventional two-point ray traing in a general 3D heterogeneous medium is normally performed by a shooting

More information

Sequential search. Building Java Programs Chapter 13. Sequential search. Sequential search

Sequential search. Building Java Programs Chapter 13. Sequential search. Sequential search Sequental search Buldng Java Programs Chapter 13 Searchng and Sortng sequental search: Locates a target value n an array/lst by examnng each element from start to fnsh. How many elements wll t need to

More information

Efficient automatic correction and segmentation based 3D visualization of magnetic resonance images

Efficient automatic correction and segmentation based 3D visualization of magnetic resonance images Lousana State Unverst LSU Dgtal Commons LSU Dotoral Dssertatons Graduate Shool 5 Effent automat orreton and segmentaton based 3D vsualzaton of magnet resonane mages Mkhal V. Mlhenko Lousana State Unverst

More information

Very simple computational domains can be discretized using boundary-fitted structured meshes (also called grids)

Very simple computational domains can be discretized using boundary-fitted structured meshes (also called grids) Structured meshes Very smple computatonal domans can be dscretzed usng boundary-ftted structured meshes (also called grds) The grd lnes of a Cartesan mesh are parallel to one another Structured meshes

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

Sorting Review. Sorting. Comparison Sorting. CSE 680 Prof. Roger Crawfis. Assumptions

Sorting Review. Sorting. Comparison Sorting. CSE 680 Prof. Roger Crawfis. Assumptions Sortng Revew Introducton to Algorthms Qucksort CSE 680 Prof. Roger Crawfs Inserton Sort T(n) = Θ(n 2 ) In-place Merge Sort T(n) = Θ(n lg(n)) Not n-place Selecton Sort (from homework) T(n) = Θ(n 2 ) In-place

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

Microprocessors and Microsystems

Microprocessors and Microsystems Mroproessors and Mrosystems 36 (2012) 96 109 Contents lsts avalable at SeneDret Mroproessors and Mrosystems journal homepage: www.elsever.om/loate/mpro Hardware aelerator arhteture for smultaneous short-read

More information

Bottom-Up Fuzzy Partitioning in Fuzzy Decision Trees

Bottom-Up Fuzzy Partitioning in Fuzzy Decision Trees Bottom-Up Fuzzy arttonng n Fuzzy eson Trees Maej Fajfer ept. of Mathemats and Computer Sene Unversty of Mssour St. Lous St. Lous, Mssour 63121 maejf@me.pl Cezary Z. Janow ept. of Mathemats and Computer

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

Problem Definitions and Evaluation Criteria for Computational Expensive Optimization

Problem Definitions and Evaluation Criteria for Computational Expensive Optimization Problem efntons and Evaluaton Crtera for Computatonal Expensve Optmzaton B. Lu 1, Q. Chen and Q. Zhang 3, J. J. Lang 4, P. N. Suganthan, B. Y. Qu 6 1 epartment of Computng, Glyndwr Unversty, UK Faclty

More information