Pocket3D Designing a 3D Scanner by means of a PDA 3D DIGITIZATION

Size: px
Start display at page:

Download "Pocket3D Designing a 3D Scanner by means of a PDA 3D DIGITIZATION"

Transcription

1 Pocke3D Desgnng a 3D Scanner by means of a PDA 3D DIGITIZATION Subjec: 3D Dgzaon Insrucor: Dr. Davd Fof Suden: AULINAS Josep GARCIA Frederc GIANCARDO Luca Posgraduae n: VIBOT MSc

2 Table of conens 1. Inroducon Wha s a 3D scanner? D Scanner s classfcaon Theorecal background D merology The prncple of rangulaon Laser peak deecon New mehod for obanng pon correspondences Pons on he upper and lower edges Pons on he laser srpe Calbraon mehod usng a complee quadrangle Camera localzaon (self-referencng) Implemenaon Acquson of mages, he nal seup Calbraon of he camera wh he complee quadrangle n Malab Projec under LabVIEW Projec under Mcrosof Vsual Sudo (C#) Image acquson from he camera Laser deecon algorhms, mplemenaon and esng Frs algorhm Second algorhm Camera pose esmaon Tag Deecon algorhm Camera homography esmaon Fnal Implemenaon Conclusons

3 Absrac The objecve of hs projec s o develop a laser-based rangulaon 3D scanner on a PDA (Personal Dgal Asssan). The sysem, conssng of a PDA wh a camera and a laser beam, mus be auonomous. Calbraon of he camera, laser lne deecon and rangulaon has been mplemened as a sand-alone applcaon. 1. Inroducon 3D nspecon, 3D reconsrucon and n general 3D magng are ho opcs whch more and more are appearng n he ndusry. There s a clear need for buldng 3D models of he vsble surface for a wde varey of objecs n shape, sze and ype of maeral. Applcaons requre nspecng, documenng, reproducng, or smply provdng he capably o remoely observe he represenaon of a real objec under any seleced vewpon. Owng o hese facs, 3D scannng s currenly n a fas developmen sage. Ths projec deals o a hand-held range sensor, whch s a useful ool n many suaons. Snce s manoeuvrable, s easy o selec he area o be measured whou he consran on moon mposed by a ranslaon or roaon sysem. In addon, s easy o oren he sensor relave o he surface o ge he opmal coverage (samplng) or he opmal condons for measuremen qualy. From desgn o mplemenaon, several seps mus be performed n order o acheve he fnal goal, a 3D scanner. These seps nvolve a wde range of heory, such as deecon of feaures, eppolar geomery, rangulaon or reconsrucon from 2D mages. Theory whch n par has been suded whn he maser lecures. Manly for he possbly o apply and mprove our knowledge over hs feld and also because s an ambous approach we seleced hs projec. As far as he repor srucure s concerned, chaper one sars by nroducng he concep of a 3D scanner, s funconales and s classfcaon. Second chaper presens he heorecal background, how he sysem calbraon s performed, how o deec a laser srpe n he mage, he rangulaon prncples n order o compue 3D coordnaes from 2D projecons, and how o locae he camera durng he scannng process (o generae a sngle cloud of 3D pons by regserng he paral clouds of pons). The modellng, smulaon and mplemenaon of he sysem s descrbed n secon hree Wha s a 3D scanner? A 3D scanner s a devce ha analyzes a real-world objec or envronmen o collec daa on s shape and possbly s appearance (.e. colour or exure). The colleced daa can hen be used o consruc hree dmensonal models useful for a wde varey of applcaons. These devces are used exensvely by he eneranmen ndusry n he producon of moves and vdeo games. Oher common applcaons of hs echnology nclude ndusral desgn, reverse engneerng and prooypng, compuer vson and documenaon of culural arefacs. Many dfferen echnologes can be used o buld hese 3D scannng devces; each echnology has s own lmaons, advanages and coss. The range of objecs ha can be dgzed s sll lmed: for example opcal echnologes encouner many dffcules wh shny, mrrorng or ransparen objecs

4 1.2. 3D Scanner s classfcaon There are manly hree echnologes n whch 3D scanners can be classfed: conac 3D scanners, non-conac acve 3D scanners and non-conac passve 3D scanners. Brefly, a conac scanner (Fgure 1.1) probes he subjec hrough physcal ouchng as for example a CMM (Coordnae Measurng Machne). Ths knd of scanners presens several dsadvanages such as he possbly of damagng or modfyng delcae or valuable objecs durng he scannng process or he slow processng o oban he 3D model. In fac, he movng arm has o ouch all he area of he objec o be scanned, hence akes sgnfcanly more me compared o oher scannng mehods. Ths projec s enclosed n he second group of 3D scanners: non-conac acve scanners (Fgure 1.2). Acve scanners em some knd of radaon or lgh and deec s reflecon n order o probe an objec or envronmen. Possble ypes of emssons use lgh sources, ulrasound or X-ray. Fnally, he las group s non-conac passve scanners (Fgure 1.3) whch do no em any knd of radaon by hemselves, bu nsead rely on deecng refleced amben radaon. Mos scanners of hs ype deec vsble lgh because s a readly avalable amben radaon. Oher ypes of radaon, such as nfrared could also be used. Fgure D conac scanner from Faro enerprse whch can scan objecs unl 2.4m wh a resoluon of +/-18µm. Fgure D non-conac acve scanner from Mnola enerprse. The sandard verson can scan objecs from.6 o 1.m wh a resoluon of.5mm. Fgure D non-conac passve scanner from RSI GmbH whch apples sereovson o oban he 3D pons. 2. Theorecal background 3D laser scanners are oday's mos accurae non-conac acve measurng ools. However, here are wo mporan ssues o be consdered. The former concerns he denfcaon of he geomercal parameers of he sysem, snce hey allow he equaons o be denfed and solved n order o provde he reconsruced 3D pons. The process o oban hese values s known as calbraon, and s descrbed n Secon 2.5. The second problem concerns he laser srpe deecon. I s worh regardng ha he geomerc fgures ha are reconsruced are pons, and pons are zero-dmensonal, ha s, hey do no have volume or surface. I s evden ha he sze of a laser spo s, by no means, an nfnely small pon. Insead, s an elecromagnec radaon ha can be focused down o abou 2µm usng he curren lens manufacurng echnology. Hence, seems very sensve o provde a means of deecng a sngle pon as much represenave of he laser spo as possble. The lgh energy dsrbuon of he srpe follows a Gaussan - 4 -

5 paern, hence s assumed ha a good canddae for hs represenave pon s he lgh peak of he Gaussan paern. For hs reason, he echnques or algorhms for obanng he pxel of he mage ha bes quanfy hs pon are called numercal peak deecors. The need for a projecve geomery-based calbraon procedure s clear, and several auhors have conrbuons o hs end. Wh hs approach, s no necessary o use accurae mechancal posonng pars for denfyng he laser plane/lne equaon, and hs feaure s very neresng when he calbraon n hazardous envronmens, such as underwaer applcaons, s needed D merology Merology s he scence of measuremen, embracng boh expermen and heorecal deermnaons a any level of uncerany n any feld of Scence and Technology. In parcular, 3D merology s a very neresng echnology and s beng appled n dverse felds such as ndusry, 3D medcal magng, human body measuremen or robocs. One of he approaches o 3D sensng by non-conac devces s he wdely spread acve 3D scanner devces. They are called acve, because hey change he lghng of he scene by projecng srucured lgh on. The way hey oban 3D nformaon s by usng a camera for measurng he dspary beween he projeced srucured lgh and he mage of he scene. Among he srucured lgh devces, hs projec s focused o he case of rangulaon based 3D laser scanners. Fgure 2.1 shows a op vew of he basc dagram whch bulds up such sysem. Noe ha here appear mporan conceps and quanes lke base lne, opcal axs, laser axs, angles and wh respec o he vercal, quanfyng he orenaon of he eye and laser, ec. These quanes model he geomerc aspecs of he sysem. Fgure 2.1. Basc 3D laser scanner. The eye appearng n ha square s obvously replaced by a camera n real applcaons. Noe ha, jus lke n he case of he human vson sysem, he poson and orenaon of he eye/camera s mporan for shape/deph sensng, as well as he orenaon and poson of he laser projecon. In addon, a laser srpe or spo can be narrowly focused even a grea dsances, hence provdng even more dreconaly han he fovea vson

6 2.2. The prncple of rangulaon Ths secon nroduces he prncple of rangulaon focusng s use n he laser sl scannng. Generally hs prncple s accompaned by he called correspondence problem, whch s sll unsolved n many cases. The ypcal suaon n whch such prncple s appled s shown n fgure 2.2 where a pon P n 3D space s seen by wo dfferen cameras. If he spaal relaonshp beween boh cameras s accuraely known, he poson of P can be found by s wo projecons ( p ' and p '') on he correspondng mage planes, compung he nersecon of lnes P p' and P p' '. Fgure 2.2. Trangulaon prncple usng wo cameras. The spaal relaonshp beween boh cameras can be easly found by applyng a sandard camera calbraon procedure o be chosen among he mulple exsng ones, dependng on how dsored are he capured mages. However, he bgges problem s how can P be unquely denfed n boh mage planes?.e. how sure can be saed ha boh p ' and p '' correspond o he projecon of P? Ths problem s wdely known as he correspondence problem, whch s very dffcul o solve robusly n mulple camera sysems, unless hghly defned corners are maged. Besdes, one of he echnques ha works very well for denfyng pons n 3D space s he use of Acve Vson. The erm acve means ha some well known lgh paern (ypcally laser or coded/uncoded srucured lgh) n dfferen geomeres (pons, planes, crosses, parallel bars, ec.) s projeced ono he scene, so an llumnaed pon n he 3D space s well seen by boh cameras, and hence, he 3D coordnaes of P are easly compued by rangulaon. In addon, f he lgh source geomery, ha s, s pose and scannng movemen, s well known, one of he cameras can be replaced by he lgh source and 3D nformaon can also be obaned by rangulaon. Ths procedure s wdely used by commercal and research prooype range fnders. Fgure 2.3 shows how camera 2 n fgure 2.2 has been replaced by a sweepng laser lgh source. Usng hs echnque he camera model has o be compued usng a calbraon procedure, and he lne or plane laser equaon mus be known n order o compue s nersecon wh he lne P p'

7 Fgure 2.3. Laser scanner sysem wh scannng lgh source Laser peak deecon The accuracy of a 3D reconsrucon usng laser scanners s sgnfcanly consraned by he deecon of he laser srpe n he mage. Snce he energy paern of such a srpe corresponds o a Gaussan profle, makes sense o deec he pon of maxmum lgh nensy (or peak) by compung he zero-crossng pon of he frs dervave of such Gaussan profle. However, because nose s presen n every physcal process, such as elecronc mage formaon, s no sensve o perform he dervave of he mage of he srpe n almos any suaon, unless a prevous flerng sage s done. Consderng ha srpe scannng s an nherenly row-parallel process, every row of a gven mage mus be processed ndependenly n order o compue s correspondng peak poson n he row. The opcal properes of he surface sgnfcanly deermne he performance of he laser scanner. The opmal surface ype for scannng purposes s a oally lamberan surface wh a hgh reflecon ndex. Translucd surfaces are ofen presen n our everyday lfe (ceran ypes of plasc, anmal ssue, slcon, resns, ceran rocks or mnerals, ec.). Fgure 2.5 shows how a ray of lgh behaves when mpnges such knd of surface. In a ranslucd surface, lgh reflecs as n a lamberan surface, bu goes hrough he maeral unl a ceran deph. The hgher he lgh power, he deeper he lgh peneraes nsde he maeral. In addon, he lgh scaers nsde he maeral, so ha a camera lookng a "sees" laser reflecons sourcng from nsde. Fgure 2.4 (rgh) shows a laser srpe refleced on a lamberan surface, whle fgure 2.4 (lef) shows how he reflecon on a ranslucd surface s seen by he camera. As s shown, a laser srpe mpngng on a ranslucd surface nduces a lo of undesred lgh peaks where hey are no expeced o be. In addon, f he lgh power s lowered, he nose due o he dfferen sources becomes more and more sgnfcan and hence, he reconsrucon qualy degrades

8 (a) (b) Fgure 2.4. Behavour of lgh refleced on a specular surface (a), and on a lamberan surface (b). Fgure 2.5. Behavour of lgh refleced on a ranslucd surface. Three nose sources have been found o nfluence he hree-dmensonal measuremen of camera-laser based 3D scanners: elecrcal nose, quansaon nose and speckle nose. The speckle s drecly relaed o he naure of laser lgh, whle he oher wo nose sources are nheren o he mage sensor. Speckle s due o he reduced wavelengh of lgh compared o he surface roughness and he monochromacy of laser lgh and nfluences he 3D measuremen. These hree nose sources are combned ogeher and make he observer see he consrucve and desrucve nerferences whn he laser srpe. Fgure 2.6. Laser srpe of a ranslucd (lef) and a lamberan (rgh) surface

9 2.4. New mehod for obanng pon correspondences Any se of four non-algned pons A, B, C, D on he plane can be joned par wse by sx dsnc lnes. Ths fgure s called he Complee Quadrangle and exhbs several useful properes n compuer vson applcaons. Sx of he pons defned by hs fgure are used n order o generae 3D pons for calbraon and her correspondences on he mage plane, n oher words, from hs complee quadrangle, he ransformaon marx whch maps he laser srpe pons on he mage plane o he world coordnaes ( W T I ) s calculaed Pons on he upper and lower edges Fgure 2.7 shows how he four lnes defned by pon F and pons A, P A, B, and G respecvely, confgures a pencl of lnes. Hence s sraghforward o oban her cross-rao, provded ha pon P A s known. However, P A s an unknown world 3D pon, wh only he lne ha conans beng known, ha s, only pons A, B, and G are known. Neverheless, from he fgure can be seen ha pons A, P A, B and G are all known. Snce he geomerc relaon beween pons A o G and pons A o G s projecve, he cross-rao can be compued wh pons A o G and s value can be used for compung he coordnaes of pon P A. The same procedure can be adoped beween pons D o G and D o G. By repeang he process for dfferen posons and/or orenaons of he laser srpe, can be seen ha a se of correspondences P A, P A and P B, P B can be esablshed wh hgh accuracy. Fgure 2.7. The cross-rao and he complee quadrangle

10 Pons on he laser srpe The esmaon of he 4x3 ransformaon W T I, whch maps pons on he mage plane ( I P) o pons on he laser plane ( W P), s performed from pon o pon correspondences. In subsecon 2.4.1, a mehod for obanng he nersecon pons of he laser plane wh he upper and lower lnes of he calbraon arge (P A, P B ) was exposed. However, only wo pons defne he laser srpe for each deph, as shown n fgure 2.8. I s reasonable o hnk ha he more pons per srpe he beer he parameer esmaon of W T I wll be. Lookng back o fgure 2.7, s clear ha he cross-rao of pons F, A, D and an arbrary 2D pon P L beween A and D can be obaned. Snce pons F, A and D are known, he prevously compued cross-rao can be used for calculang he coordnaes of he 3D pon P L correspondng o P L. Ths process s depced n fgure 2.9, where he pons on he lne A D are called P L. I s obvous ha a pencl of lnes L T can be defned beween pon G and pons P L, and ha hese lnes defne a se of nersecon pons P R on he lne B C. Now, for each of he lnes of he pencl L T, he nersecon wh he laser srpe P S can be obaned, and hence, he cross-rao beween pon G, P R, P S and P L can be calculaed. Fnally, snce he 3D pons G, P R and P L are known, he value of he cross-rao can be used n order o oban he se of 3D pons P S layng on he laser srpe. Fgure 2.8. The laser plane defned by upper and lower pons

11 Fgure 2.9. Pon generaon Calbraon mehod usng a complee quadrangle Once he pon correspondences have been denfed for each srpe poson, he parameers of he 2D o 3D mappng mus be esmaed. Equaon 2.1 shows he relaonshp beween pons on he mage plane I [u; v; 1] T wh 3D pons W [sx; sy; sz; s] T on he laser plane. sx sy = sz s u v 1 W T I (Eq. 2.1) As sad n 2.4, W T I s he ransformaon marx whch maps pons on he mage plane ( I P) o pons on he laser plane ( W P). Bu how can be compued. Chen and Kak [Chen87] borrowed hs resul and used a homography for modellng he geomerc relaonshp beween he laser plane and he mage plane. However, a homography relaes 2D pons on a plane o 2D pons on a second plane and does no solve he process of mappng from 2D pons o 3D pons. Wh hs am, Chen demonsraed ha a 3D coordnae sysem could be added o he laser plane, such ha pons on he laser plane expand naurally o 3D coordnaes by addng a hrd componen equal o zero o he 2D coordnaes

12 {W} World (reference) coordnae sysem {I} Image coordnae sysem {L} Laser coordnae sysem {L 2 } Bdmensonal coordnae sysem Fgure 2.1. Geomerc scheme of Chen & Kak's mehod. Where {W} s he world or reference coordnae sysem, {I} s he mage coordnae sysem, wh uns expressed n pxels, and {L} s he laser coordnae sysem. {L 2 } s a b-dmensonal coordnae sysem, where he x and y concde wh he x and y axs of {L}. As shown n equaon 2.2, he geomery of he whole sysem can be modelled by a 4x3 ransformaon W T I wh 11 degrees of freedom. Ths ransformaon allows he pons on he laser plane o be mapped o 3D coordnaes, wh respec o {W}. x y W L = TL TL z w u v = 1 1 e e 1 e e u = v 1 u v = 1 u L W 23 W H 2 I TL 21 e22 e23 TI v e32 e e (Eq. 2.2) Obvously, he parameers 11 o 34 should be esmaed as precsely as possble, n order o maxmse he accuracy of he reconsrucon. Accordng o equaon 2.2, he expressons for sx, sy, sz and s are obaned and shown n equaon 2.3. sx = sy = sz = s = u + u + u + u v + v + v + v (Eq. 2.3) Arrangng he erms and groupng, a homogeneous sysem of hree equaons wh 12 unknowns ( 11 o 43 ) s obaned, as shown n equaon u + 12 u + u + 32 v v + v u X u Y u Z v X v Y v Z X = Y = Z = (Eq. 2.4)

13 I can be seen ha one sngle pon correspondence conrbues wh 3 equaons and 12 unknowns, wh only her rao s beng sgnfcan. Hence, a leas 4 noncollnear pons are needed n order o fnd he 12 parameers. However, due o he presence of nose n he measuremen, s reasonable o ransform he problem no a leas-squares-ype parameer esmaon problem, by usng more han four nosy pon correspondences. Rewrng equaon 2.4 n a marx form, equaon 2.5 s obaned, whch s he expresson of he parameer esmaon problem, ha can be solved by compung he vecor θ ha mnmses some cos funcon of he marx equaon θ = θ = 11, 12, 13, 21,..., 43. A, where [ ] T A good esmaon usng TLS echnques can be found by compung he egenvecor correspondng o he smalles egenvalue of marx A T A. u v 1 u v 1 u v 1 u u u X Y Z v v v X Y Z X Y Z = (Eq. 2.5) Wh he parameer esmaon for each srpe poson, a se of W T I s obaned. In he case of lnear scannng, a lne can be fed o he se of parameers correspondng o each marx componen Camera localzaon (self-referencng) To buld a 3D model s necessary o regser all he 3D clouds of pons acqured durng all he acquson process. The am of he regsraon process conss on ranslae he local reference sysem of each acquson sep o he world reference sysem. Ths sep s que easy when he moon of he camera beween each sep s knowed. As s presened n [Maabosh7] here are several echnques o perform hs regsraon process bu alhough he scanned objec says over he scannng surface whou any movemen, he camera moon s free. Hence our sysem s a hand-held scanner and he camera movemen beween one acquson sep and he nex one s unknown. [Héber] presens a self-referenced hand-held range sensor soluon whch consss on a rnocular sensor confguraon as s shown n fgure 2.11, where he laser projecor projecs a consan srucured lgh ono he scanned objec. These projecons are markers whch are acqured ogeher wh he scanned objec by wo cameras whch make he rangulaon o oban he 3D coordnaes. Snce he srucured lgh projeced (a leas hree pons) s known wh reference o he rao

14 beween each pon, s possble o compue he camera moon by regserng he srucured lgh acquson from one acquson o he nex or prevous one. Fgure Trnocular sensor confguraon: Two cameras and a crosshar lgh projecor. The fxed pon projecor s no depced. Ths soluon gve us an dea abou how can we relae one acquson o he nex one n order o know he camera moon. However, our sysem s formed by one camera and one laser projecor. In [Wagner7] s presened ARToolKPlus, a successor o he popular ARToolK pose rackng lbrary. Ths lbrary has been opmzed and exended for he usage on moble devces such as smarphones, PDAs and Ulra Moble PCs (UMPCs). The echnque whch s used n hs paper consss on deec a specfc marker by paern recognon and owng o he camera calbraon, he camera can be selfreferenced by knowng he poson of he marker as can be seen n fgure Fgure Basc workflow of an AR applcaon usng fducal marker rackng. From hs echnques a self-referencng camera localzaon sysem has been performed, whch s presened n Secon

15 3. Implemenaon Ths chaper presens a schedule of he seps o perform he projec, lsng deals of mplemenaon and he soluon for he handcaps whch appeared snce he projec sared. Once he decson of acheve hs projec was aken, he frs hng o do was collec all he necessary maeral such as PDA, camera and laser beam. However, hs ask ook few weeks because he maeral was scaer beween dfferen members and places of he IUT laboraory. Hence, we sared o fulfl he bographcal research n order o hnk on how o mplemen he 3D scanner, whle, on he same me, he necessay maeral was beng recolleced. The nal Gann dagram whch organse he dfferen seps o perform durng he me lne s depced n fgure 3.1. However, several asks were rescheduled, due o he reformulaon of he projec. Ths reformulaon of he projec was done durng early December afer experencng several echncal problems, such as, mpossbly o fnd a camera for he PDA or he ncompables beween he programmng ools and he operave sysem of he PDA. Handcaps whch are well dealed n he followng secons of he documen. Fgure 3.1. Gann dagram

16 The bblographcal research began specally cenred n calbraon echnques, 3D laser scanners, laser peak deecon, he prncple of rangulaon, ec. Manly, he heorecal background presened n he prevous chaper, necessary conceps o undersand before mplemenng anyhng. The hess of Dr. Fores New Mehods for Trangulaon-Based Shape Acquson usng Laser Scanners [Fores4] was a good sarng pon because nvolves several of hs heorecal conceps and accordng o Dr. Fof we mus read Acquson of mages, he nal seup Once he bblographcal research was done several algorhms such as quadrangle calbraon, laser peak deecon or marker localzaon were mplemened on Malab, because Malab allows he user o develop que fas a prooype o check f he echnque whch s beng used works or no. A hs momen, he resuls were obanng as expeced and n order o connue was necessary o receve he maeral, a leas he laser beam. The PDA s camera a hs momen was no ye avalable and was decded o connue by acqurng pcures from a moble phone, whose camera s resoluon and characerscs are more or less equal o a PDA s camera. Fgure 3.2. A Noka 628 was used nally o acqure mages. Wh a 2mpx camera we acqure mages a 64x48px Calbraon of he camera wh he complee quadrangle n Malab As has been commened before, Malab has been he envronmen n whch he 3D scanner prooype has been developed. Afer acqurng he mages of he quadrangle (Fgure 3.3) he heorecal bass of he calbraon sysem wh he complee quadrangle was verfed. Noe ha a hs me a laser beam was also provded; only he camera was mssng. A small seup n he UIT laboraory allowed o acqure es mages (Fgure 3.3) o check he Malab algorhms mplemened so far. Fgure 3.3. Quadrangle acquson used for he camera calbraon. The calbraon scrp has been developed followng he heorecal conceps showed n secon

17 The fs sep consss on denfyng he correspondences pon for each srpe poson and esmang he parameers of he 2D o 3D mappng. The acqured mage of he quadrangle (Fgure 3.3.) s presened o he user n order o denfy he quadrangle s corners (A, B, C, D ) presened n Secon (Fgure 3.4). Table 3.1 presens he Malab code for hs nalzaon: mg = mread('mage1.bmp'); % Loads he quadrangle mage fgidx=fgidx+1; fgure(fgidx); magesc(mg); pons2d = gnpu(6); Ap = [pons2d(1,:)]'; Bp = [pons2d(2,:)]'; Cp = [pons2d(3,:)]'; Dp = [pons2d(4,:)]'; Pa = [pons2d(5,:)]'; Pb = [pons2d(6,:)]'; Table 3.1. Inalzaon of he quadrangle s corners (A, B, C, D ). Noe ha a he same me ha he user esablshes he quadrangle s corners, he s asked o nroduce he lms of he laser srpe (P A and P B ) o perform he crossrao beween pons G, P R, P S and P L presened n Secon Fgure 3.4. Quadrangle s coordnaes denfcaon. Thus, lnes A -B and C -D are calculaed and s nersecon s compued n order o fnd he coordnaes of he pon G. A specfc funcon was mplemened o perform he nersecon beween wo pon s projecons. Gp = calcinersecon(ap, Bp, Dp, Cp); Table 3.2. Compuaon of he G coordnaes. A hs pon, he 3D space coordnaes of P A and P B can be compued by he use of he cross-rao and snce he 3D pons G, P R and P L are known (Fgure 2.9), he value of he cross-rao can be used n order o oban he se of 3D pons P S layng

18 on he laser srpe. Table 3.3 presens he Malab code whch performs hs calculus: % Calculae dsances for cross rao GPb = calcdsance(gp, Pb); GB = calcdsance(gp, Bp); GC = calcdsance(gp, Cp); crao = (GPb * (GB - GC)) / (GB * (GPb - GC)); % Calculae Pb n he 3D space GB1 = calcdsance(g, B); GC1 = calcdsance(g, C); GPb1 = (crao * GB1 * GC1)/((cRao-1) * GB1 + GC1); unvecorgb1 = (B - G) / calcdsance( B, G ); Pb1 = G + GPb1 * unvecorgb1; % Calculae Pa n he 3D space GA1 = calcdsance(g, A); GD1 = calcdsance(g, D); GPa1 = (crao * GA1 * GD1)/((cRao-1) * GA1 + GD1); Pa1 = [; G(2)- GPa1]; % Fnd correspomdence for addonal pons on he laser oalponsnum = 2; ponsnum = oalponsnum-1; % Image PaPb = calcdsance(pa, Pb); unvecorpapb = (Pb - Pa) / PaPb; dsancepons = PaPb / ponsnum; % Image 3d PaPb1 = calcdsance(pa1, Pb1); unvecorpapb1 = (Pb1 - Pa1) / PaPb1; dsancepons1 = PaPb1 / ponsnum; laserponsimg = zeros(2, ponsnum-1); laserponsimg1 = zeros(2, ponsnum-1); for dx=1:ponsnum-1 laserponsimg(:, dx) = (dsancepons * dx) * unvecorpapb + Pa; laserponsimg1(:, dx) = (dsancepons1 * dx) * unvecorpapb1 + Pa1; end % Creae correspondence arrays lpimg = [Pa Pb laserponsimg]; lpimg1 = [Pa1 Pb1 laserponsimg1]; lpimg1(3, :) = 1*ones(1, 1:oalPonsNum); % add he z componen Table 3.3. Compuaon of he 3D pons P S layng on he laser srpe.! I s reasonable o hnk, ha he more pons on he laser srpe, he beer he parameer esmaon of W T I wll be

19 Once all he necessary daa has been compued he calbraon marx s obaned from he equaon 2.4 as s shown n Table 3.4: % Creae he calbraon marx m = zeros(3 * oalponsnum, 12); pidx = 1; for midx=1:3:(oalponsnum*3) m(midx, :) = [lpimg(1, pidx) lpimg(2,pidx) 1 - lpimg(1,pidx)*lpimg1(1,pidx) -lpimg(2,pidx)*lpimg1(1,pidx) - lpimg1(1,pidx)]; m(midx+1, :) = [ lpimg(1, pidx) lpimg(2,pidx) 1 - lpimg(1,pidx)*lpimg1(2,pidx) -lpimg(2,pidx)*lpimg1(2,pidx) - lpimg1(2,pidx)]; m(midx+2, :) = [ lpimg(1, pidx) lpimg(2,pidx) 1 - lpimg(1,pidx)*lpimg1(3,pidx) -lpimg(2,pidx)*lpimg1(3,pidx) - lpimg1(3,pidx)]; pidx= pidx+ 1; end Table 3.4. Compuaon of he calbraon marx m.! The Malab code o oban he calbraon marx m can be found n he Malab fle: calbraon.m Tesng he calbraon marx Few mages have been acqured wh hs nal seup n order o es he mplemened Malab algorhms. Fgure 3.5. Acqured mages o check he Malab algorhms. In ha case, he calbraon marx compued n Secon 3.2 was esed by compung he Sngular Value Decomposon (SVD) of he marx calbraon m (Table 3.5). svd(x) produces a dagonal marx S, of he same dmenson as X and wh nonnegave dagonal elemens n decreasng order, and unary marces U and V so ha X = U*S*V'. Noe ha each column of V corresponds o an egen vecor of he npu marx X. These egen vecors are sored from he bgges one o he smalles. The las egen vecor, from now, s used o ransform 2D projecon pons o 3D pons n he scene

20 [u d v]= svd(m); = [ v(1,12) v(2,12) v(3,12);... v(4,12) v(5,12) v(6,12);... v(7,12) v(8,12) v(9,12);... v(1,12) v(11,12) v(12,12) ]; Table 3.5. Compuaon of. Hence, f he user eners a seres of 2D projecons, from now hese projecons can be ransformed o he 3D pons n he scene and he marx calbraon es can be performed (Table 3.5). Then, he user s asked o selec several pons belongng o he laser srpe and he 3D reconsrucon of hese pons s performed: Fgure 3.6. Laser srpe pons selecon o perform he 3D reconsrucon. % Try reconsrucon face1 = mread('face1.bmp'); fgidx=fgidx+1;fgure(fgidx); magesc(face1); face1p2d = gnpu; face1p2d = face1p2d'; face1p2d(3,:) = ones(1, sze(face1p2d,2)); face1p3d = * face1p2d; face1p3d = [face1p3d(1,:)./ face1p3d(4,:); face1p3d(2,:)./ face1p3d(4,:); face1p3d(3,:)./ face1p3d(4,:) ]; fgidx=fgidx+1;fgure(fgidx); plo3(face1p3d(1,:), face1p3d(2,:), face1p3d(3,:), 'b.'); Table D reconsrucon of he laser srpe projecon. From fgure 3.7 he 3D reconsrucon of he laser srpe can be observed whch ndcaes ha he calbraon realsed s correc

21 Fgure 3.6. Laser srpe reconsrucon. Alhough Malab vewer s no an approprae 3D vewer, from he prevous fgure can be observed he reconsrucon of he laser srpe over he face and he pons can be recognsed f he mage s compared wh he presened n fgure Projec under LabVIEW The Naonal Insrumens LabVIEW graphcal developmen envronmen helps o creae flexble and scalable desgn, conrol, and es applcaons. Afer a bref nroducon o LabVIEW by followng he uorals we realsed ha could be a good opon o perform he PDA Scanner projec. Moreover, Dr. Fof recommends and also he use of he PDA module, exenson wh whch you can creae cusom applcaons n Wndows Moble for Pocke PC devces. Hence, he projec was desgned and when was necessary o add he Camera Capure VI (Fgure 3.7) we noced ha we had a problem. The Camera Capure VI s ncorporaed n he PDA Module and saves he mages or vdeos n whaever forma he camera applcaon on he PDA arge uses. If he PDA arge does no suppor mage and/or vdeo capably, hs VI reurns an error. The problem s ha hs VI works only on Wndows Moble 5. operang sysem and he provded PDA (Axm X5 from Dell) by he lab was Wndows Moble 22 (Table 3.7a). Fgure 3.7. Camera Capure VI (LabVew). Anoher PDA (n5 Premum from Acer) was checked (Table 3.7b), hs one workng on Wndows Moble 23 SE bu sll whou workng. Thus, he soluon a hs

Spline. Computer Graphics. B-splines. B-Splines (for basis splines) Generating a curve. Basis Functions. Lecture 14 Curves and Surfaces II

Spline. Computer Graphics. B-splines. B-Splines (for basis splines) Generating a curve. Basis Functions. Lecture 14 Curves and Surfaces II Lecure 4 Curves and Surfaces II Splne A long flexble srps of meal used by drafspersons o lay ou he surfaces of arplanes, cars and shps Ducks weghs aached o he splnes were used o pull he splne n dfferen

More information

Lecture 40 Induction. Review Inductors Self-induction RL circuits Energy stored in a Magnetic Field

Lecture 40 Induction. Review Inductors Self-induction RL circuits Energy stored in a Magnetic Field ecure 4 nducon evew nducors Self-nducon crcus nergy sored n a Magnec Feld 1 evew nducon end nergy Transfers mf Bv Mechancal energy ransform n elecrc and hen n hermal energy P Fv B v evew eformulaon of

More information

Capacity Planning. Operations Planning

Capacity Planning. Operations Planning Operaons Plannng Capacy Plannng Sales and Operaons Plannng Forecasng Capacy plannng Invenory opmzaon How much capacy assgned o each producon un? Realsc capacy esmaes Sraegc level Moderaely long me horzon

More information

A Background Layer Model for Object Tracking through Occlusion

A Background Layer Model for Object Tracking through Occlusion A Background Layer Model for Obec Trackng hrough Occluson Yue Zhou and Ha Tao Deparmen of Compuer Engneerng Unversy of Calforna, Sana Cruz, CA 95064 {zhou,ao}@soe.ucsc.edu Absrac Moon layer esmaon has

More information

MODEL-BASED APPROACH TO CHARACTERIZATION OF DIFFUSION PROCESSES VIA DISTRIBUTED CONTROL OF ACTUATED SENSOR NETWORKS

MODEL-BASED APPROACH TO CHARACTERIZATION OF DIFFUSION PROCESSES VIA DISTRIBUTED CONTROL OF ACTUATED SENSOR NETWORKS MODEL-BASED APPROACH TO CHARACTERIZATION OF DIFFUSION PROCESSES IA DISTRIBUTED CONTROL OF ACTUATED SENSOR NETWORKS Kevn L. Moore and YangQuan Chen Cener for Self-Organzng and Inellgen Sysems Uah Sae Unversy

More information

Linear Extension Cube Attack on Stream Ciphers Abstract: Keywords: 1. Introduction

Linear Extension Cube Attack on Stream Ciphers Abstract: Keywords: 1. Introduction Lnear Exenson Cube Aack on Sream Cphers Lren Dng Yongjuan Wang Zhufeng L (Language Engneerng Deparmen, Luo yang Unversy for Foregn Language, Luo yang cy, He nan Provnce, 47003, P. R. Chna) Absrac: Basng

More information

MORE ON TVM, "SIX FUNCTIONS OF A DOLLAR", FINANCIAL MECHANICS. Copyright 2004, S. Malpezzi

MORE ON TVM, SIX FUNCTIONS OF A DOLLAR, FINANCIAL MECHANICS. Copyright 2004, S. Malpezzi MORE ON VM, "SIX FUNCIONS OF A DOLLAR", FINANCIAL MECHANICS Copyrgh 2004, S. Malpezz I wan everyone o be very clear on boh he "rees" (our basc fnancal funcons) and he "fores" (he dea of he cash flow model).

More information

Mathematical Model of Data Backup and Recovery

Mathematical Model of Data Backup and Recovery 6 IJCSNS Inernaonal Journal of Compuer Scence and Nework Secury, VOL.4 No.7, July 04 Mahemacal Model of Daa Backup and Recovery Karel Burda The Faculy of Elecrcal Engneerng and Communcaon Brno Unversy

More information

An Anti-spam Filter Combination Framework for Text-and-Image Emails through Incremental Learning

An Anti-spam Filter Combination Framework for Text-and-Image Emails through Incremental Learning An An-spam Fler Combnaon Framework for Tex-and-Image Emals hrough Incremenal Learnng 1 Byungk Byun, 1 Chn-Hu Lee, 2 Seve Webb, 2 Danesh Iran, and 2 Calon Pu 1 School of Elecrcal & Compuer Engr. Georga

More information

PARTICLE FILTER BASED VEHICLE TRACKING APPROACH WITH IMPROVED RESAMPLING STAGE

PARTICLE FILTER BASED VEHICLE TRACKING APPROACH WITH IMPROVED RESAMPLING STAGE ISS: 0976-910(OLIE) ICTACT JOURAL O IMAGE AD VIDEO PROCESSIG, FEBRUARY 014, VOLUME: 04, ISSUE: 03 PARTICLE FILTER BASED VEHICLE TRACKIG APPROACH WITH IMPROVED RESAMPLIG STAGE We Leong Khong 1, We Yeang

More information

Genetic Algorithm with Range Selection Mechanism for Dynamic Multiservice Load Balancing in Cloud-Based Multimedia System

Genetic Algorithm with Range Selection Mechanism for Dynamic Multiservice Load Balancing in Cloud-Based Multimedia System ISSN : 2347-8446 (Onlne) Inernaonal Journal of Advanced Research n Genec Algorhm wh Range Selecon Mechansm for Dynamc Mulservce Load Balancng n Cloud-Based Mulmeda Sysem I Mchael Sadgun Rao Kona, II K.Purushoama

More information

HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD

HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Journal of Appled Mahemacs and Compuaonal Mechancs 3, (), 45-5 HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Sansław Kukla, Urszula Sedlecka Insue of Mahemacs,

More information

Methodology of the CBOE S&P 500 PutWrite Index (PUT SM ) (with supplemental information regarding the CBOE S&P 500 PutWrite T-W Index (PWT SM ))

Methodology of the CBOE S&P 500 PutWrite Index (PUT SM ) (with supplemental information regarding the CBOE S&P 500 PutWrite T-W Index (PWT SM )) ehodology of he CBOE S&P 500 PuWre Index (PUT S ) (wh supplemenal nformaon regardng he CBOE S&P 500 PuWre T-W Index (PWT S )) The CBOE S&P 500 PuWre Index (cker symbol PUT ) racks he value of a passve

More information

Pedro M. Castro Iiro Harjunkoski Ignacio E. Grossmann. Lisbon, Portugal Ladenburg, Germany Pittsburgh, USA

Pedro M. Castro Iiro Harjunkoski Ignacio E. Grossmann. Lisbon, Portugal Ladenburg, Germany Pittsburgh, USA Pedro M. Casro Iro Harjunkosk Ignaco E. Grossmann Lsbon Porugal Ladenburg Germany Psburgh USA 1 Process operaons are ofen subjec o energy consrans Heang and coolng ules elecrcal power Avalably Prce Challengng

More information

An Architecture to Support Distributed Data Mining Services in E-Commerce Environments

An Architecture to Support Distributed Data Mining Services in E-Commerce Environments An Archecure o Suppor Dsrbued Daa Mnng Servces n E-Commerce Envronmens S. Krshnaswamy 1, A. Zaslavsky 1, S.W. Loke 2 School of Compuer Scence & Sofware Engneerng, Monash Unversy 1 900 Dandenong Road, Caulfeld

More information

Kalman filtering as a performance monitoring technique for a propensity scorecard

Kalman filtering as a performance monitoring technique for a propensity scorecard Kalman flerng as a performance monorng echnque for a propensy scorecard Kaarzyna Bjak * Unversy of Souhampon, Souhampon, UK, and Buro Informacj Kredyowej S.A., Warsaw, Poland Absrac Propensy scorecards

More information

Analyzing Energy Use with Decomposition Methods

Analyzing Energy Use with Decomposition Methods nalyzng nergy Use wh Decomposon Mehods eve HNN nergy Technology Polcy Dvson eve.henen@ea.org nergy Tranng Week Pars 1 h prl 213 OCD/ 213 Dscusson nergy consumpon and energy effcency? How can energy consumpon

More information

Network Effects on Standard Software Markets: A Simulation Model to examine Pricing Strategies

Network Effects on Standard Software Markets: A Simulation Model to examine Pricing Strategies Nework Effecs on Sandard Sofware Markes Page Nework Effecs on Sandard Sofware Markes: A Smulaon Model o examne Prcng Sraeges Peer Buxmann Absrac Ths paper examnes sraeges of sandard sofware vendors, n

More information

A 3D Model Retrieval System Using The Derivative Elevation And 3D-ART

A 3D Model Retrieval System Using The Derivative Elevation And 3D-ART 3 Model Rereal Sysem Usng he erae leaon nd 3-R Jau-Lng Shh* ng-yen Huang Yu-hen Wang eparmen of ompuer Scence and Informaon ngneerng hung Hua Unersy Hsnchu awan RO -mal: sjl@chueduw bsrac In recen years

More information

A Hybrid AANN-KPCA Approach to Sensor Data Validation

A Hybrid AANN-KPCA Approach to Sensor Data Validation Proceedngs of he 7h WSEAS Inernaonal Conference on Appled Informacs and Communcaons, Ahens, Greece, Augus 4-6, 7 85 A Hybrd AANN-KPCA Approach o Sensor Daa Valdaon REZA SHARIFI, REZA LANGARI Deparmen of

More information

A cooperative single target tracking algorithm using binary sensor networks

A cooperative single target tracking algorithm using binary sensor networks 008 Inernaoal Symposum on Telecommuncaons A cooperave sngle arge rackng algorhm usng bnary sensor neworks Danal Aghajaran, Reza Berang Compuer Engneerng Deparmen, Iran Unversy of Scence and Technology,

More information

Revision: June 12, 2010 215 E Main Suite D Pullman, WA 99163 (509) 334 6306 Voice and Fax

Revision: June 12, 2010 215 E Main Suite D Pullman, WA 99163 (509) 334 6306 Voice and Fax .3: Inucors Reson: June, 5 E Man Sue D Pullman, WA 9963 59 334 636 Voce an Fax Oerew We connue our suy of energy sorage elemens wh a scusson of nucors. Inucors, lke ressors an capacors, are passe wo-ermnal

More information

GUIDANCE STATEMENT ON CALCULATION METHODOLOGY

GUIDANCE STATEMENT ON CALCULATION METHODOLOGY GUIDANCE STATEMENT ON CALCULATION METHODOLOGY Adopon Dae: 9/28/0 Effecve Dae: //20 Reroacve Applcaon: No Requred www.gpssandards.org 204 CFA Insue Gudance Saemen on Calculaon Mehodology GIPS GUIDANCE STATEMENT

More information

The Rules of the Settlement Guarantee Fund. 1. These Rules, hereinafter referred to as "the Rules", define the procedures for the formation

The Rules of the Settlement Guarantee Fund. 1. These Rules, hereinafter referred to as the Rules, define the procedures for the formation Vald as of May 31, 2010 The Rules of he Selemen Guaranee Fund 1 1. These Rules, herenafer referred o as "he Rules", defne he procedures for he formaon and use of he Selemen Guaranee Fund, as defned n Arcle

More information

Boosting for Learning Multiple Classes with Imbalanced Class Distribution

Boosting for Learning Multiple Classes with Imbalanced Class Distribution Boosng for Learnng Mulple Classes wh Imbalanced Class Dsrbuon Yanmn Sun Deparmen of Elecrcal and Compuer Engneerng Unversy of Waerloo Waerloo, Onaro, Canada y8sun@engmal.uwaerloo.ca Mohamed S. Kamel Deparmen

More information

The Virtual Machine Resource Allocation based on Service Features in Cloud Computing Environment

The Virtual Machine Resource Allocation based on Service Features in Cloud Computing Environment Send Orders for Reprns o reprns@benhamscence.ae The Open Cybernecs & Sysemcs Journal, 2015, 9, 639-647 639 Open Access The Vrual Machne Resource Allocaon based on Servce Feaures n Cloud Compung Envronmen

More information

12/7/2011. Procedures to be Covered. Time Series Analysis Using Statgraphics Centurion. Time Series Analysis. Example #1 U.S.

12/7/2011. Procedures to be Covered. Time Series Analysis Using Statgraphics Centurion. Time Series Analysis. Example #1 U.S. Tme Seres Analyss Usng Sagraphcs Cenuron Nel W. Polhemus, CTO, SaPon Technologes, Inc. Procedures o be Covered Descrpve Mehods (me sequence plos, auocorrelaon funcons, perodograms) Smoohng Seasonal Decomposon

More information

Time Series. A thesis. Submitted to the. Edith Cowan University. Perth, Western Australia. David Sheung Chi Fung. In Fulfillment of the Requirements

Time Series. A thesis. Submitted to the. Edith Cowan University. Perth, Western Australia. David Sheung Chi Fung. In Fulfillment of the Requirements Mehods for he Esmaon of Mssng Values n Tme Seres A hess Submed o he Faculy of Communcaons, ealh and Scence Edh Cowan Unversy Perh, Wesern Ausrala By Davd Sheung Ch Fung In Fulfllmen of he Requremens For

More information

Estimating intrinsic currency values

Estimating intrinsic currency values Cung edge Foregn exchange Esmang nrnsc currency values Forex marke praconers consanly alk abou he srenghenng or weakenng of ndvdual currences. In hs arcle, Jan Chen and Paul Dous presen a new mehodology

More information

Anomaly Detection in Network Traffic Using Selected Methods of Time Series Analysis

Anomaly Detection in Network Traffic Using Selected Methods of Time Series Analysis I. J. Compuer Nework and Informaon Secury, 2015, 9, 10-18 Publshed Onlne Augus 2015 n MECS (hp://www.mecs-press.org/) DOI: 10.5815/jcns.2015.09.02 Anomaly Deecon n Nework Traffc Usng Seleced Mehods of

More information

Auxiliary Module for Unbalanced Three Phase Loads with a Neutral Connection

Auxiliary Module for Unbalanced Three Phase Loads with a Neutral Connection CODEN:LUTEDX/TEIE-514/1-141/6 Indusral Elecrcal Engneerng and Auomaon Auxlary Module for Unbalanced Three Phase Loads wh a Neural Connecon Nls Lundsröm Rkard Sröman Dep. of Indusral Elecrcal Engneerng

More information

Using Cellular Automata for Improving KNN Based Spam Filtering

Using Cellular Automata for Improving KNN Based Spam Filtering The Inernaonal Arab Journal of Informaon Technology, Vol. 11, No. 4, July 2014 345 Usng Cellular Auomaa for Improvng NN Based Spam Flerng Faha Bargou, Bouzane Beldjlal, and Baghdad Aman Compuer Scence

More information

MULTI-WORKDAY ERGONOMIC WORKFORCE SCHEDULING WITH DAYS OFF

MULTI-WORKDAY ERGONOMIC WORKFORCE SCHEDULING WITH DAYS OFF Proceedngs of he 4h Inernaonal Conference on Engneerng, Projec, and Producon Managemen (EPPM 203) MULTI-WORKDAY ERGONOMIC WORKFORCE SCHEDULING WITH DAYS OFF Tar Raanamanee and Suebsak Nanhavanj School

More information

INTERNATIONAL JOURNAL OF STRATEGIC MANAGEMENT

INTERNATIONAL JOURNAL OF STRATEGIC MANAGEMENT IJSM, Volume, Number, 0 ISSN: 555-4 INTERNATIONAL JOURNAL OF STRATEGIC MANAGEMENT SPONSORED BY: Angelo Sae Unversy San Angelo, Texas, USA www.angelo.edu Managng Edors: Professor Alan S. Khade, Ph.D. Calforna

More information

Case Study on Web Service Composition Based on Multi-Agent System

Case Study on Web Service Composition Based on Multi-Agent System 900 JOURNAL OF SOFTWARE, VOL. 8, NO. 4, APRIL 2013 Case Sudy on Web Servce Composon Based on Mul-Agen Sysem Shanlang Pan Deparmen of Compuer Scence and Technology, Nngbo Unversy, Chna PanShanLang@gmal.com

More information

A Common Neural Network Model for Unsupervised Exploratory Data Analysis and Independent Component Analysis

A Common Neural Network Model for Unsupervised Exploratory Data Analysis and Independent Component Analysis A Common Neural Nework Model for Unsupervsed Exploraory Daa Analyss and Independen Componen Analyss Keywords: Unsupervsed Learnng, Independen Componen Analyss, Daa Cluserng, Daa Vsualsaon, Blnd Source

More information

DEPARTMENT OF ECONOMETRICS AND BUSINESS STATISTICS. Exponential Smoothing for Inventory Control: Means and Variances of Lead-Time Demand

DEPARTMENT OF ECONOMETRICS AND BUSINESS STATISTICS. Exponential Smoothing for Inventory Control: Means and Variances of Lead-Time Demand ISSN 440-77X ISBN 0 736 094 X AUSTRALIA DEPARTMENT OF ECONOMETRICS AND BUSINESS STATISTICS Exponenal Smoohng for Invenory Conrol: Means and Varances of Lead-Tme Demand Ralph D. Snyder, Anne B. Koehler,

More information

t φρ ls l ), l = o, w, g,

t φρ ls l ), l = o, w, g, Reservor Smulaon Lecure noe 6 Page 1 of 12 OIL-WATER SIMULATION - IMPES SOLUTION We have prevously lsed he mulphase flow equaons for one-dmensonal, horzonal flow n a layer of consan cross seconal area

More information

A Hybrid Method for Forecasting Stock Market Trend Using Soft-Thresholding De-noise Model and SVM

A Hybrid Method for Forecasting Stock Market Trend Using Soft-Thresholding De-noise Model and SVM A Hybrd Mehod for Forecasng Sock Marke Trend Usng Sof-Thresholdng De-nose Model and SVM Xueshen Su, Qnghua Hu, Daren Yu, Zongxa Xe, and Zhongyng Q Harbn Insue of Technology, Harbn 150001, Chna Suxueshen@Gmal.com

More information

How Much Life Insurance is Enough?

How Much Life Insurance is Enough? How Much Lfe Insurance s Enough? Uly-Based pproach By LJ Rossouw BSTRCT The paper ams o nvesgae how much lfe nsurance proecon cover a uly maxmsng ndvdual should buy. Ths queson s relevan n he nsurance

More information

APPLICATION OF CHAOS THEORY TO ANALYSIS OF COMPUTER NETWORK TRAFFIC Liudvikas Kaklauskas, Leonidas Sakalauskas

APPLICATION OF CHAOS THEORY TO ANALYSIS OF COMPUTER NETWORK TRAFFIC Liudvikas Kaklauskas, Leonidas Sakalauskas The XIII Inernaonal Conference Appled Sochasc Models and Daa Analyss (ASMDA-2009) June 30-July 3 2009 Vlnus LITHUANIA ISBN 978-9955-28-463-5 L. Sakalauskas C. Skadas and E. K. Zavadskas (Eds.): ASMDA-2009

More information

Template-Based Reconstruction of Surface Mesh Animation from Point Cloud Animation

Template-Based Reconstruction of Surface Mesh Animation from Point Cloud Animation Temlae-Based Reconsrucon of Surface Mesh Anmaon from Pon Cloud Anmaon Sang Il Park and Seong-Jae Lm In hs aer, we resen a mehod for reconsrucng a surface mesh anmaon sequence from on cloud anmaon daa.

More information

CONTROLLER PERFORMANCE MONITORING AND DIAGNOSIS. INDUSTRIAL PERSPECTIVE

CONTROLLER PERFORMANCE MONITORING AND DIAGNOSIS. INDUSTRIAL PERSPECTIVE Copyrgh IFAC 5h Trennal World Congress, Barcelona, Span CONTROLLER PERFORMANCE MONITORING AND DIAGNOSIS. INDUSTRIAL PERSPECTIVE Derrck J. Kozub Shell Global Soluons USA Inc. Weshollow Technology Cener,

More information

HEURISTIC ALGORITHM FOR SINGLE RESOURCE CONSTRAINED PROJECT SCHEDULING PROBLEM BASED ON THE DYNAMIC PROGRAMMING

HEURISTIC ALGORITHM FOR SINGLE RESOURCE CONSTRAINED PROJECT SCHEDULING PROBLEM BASED ON THE DYNAMIC PROGRAMMING Yugoslav Journal o Operaons Research Volume 19 (2009) Number 2, 281-298 DOI:10.2298/YUJOR0902281S HEURISTIC ALGORITHM FOR SINGLE RESOURCE CONSTRAINED PROJECT SCHEDULING PROBLEM BASED ON THE DYNAMIC PROGRAMMING

More information

STUDENT AFFAIRS TECHNOLOGY... WEBSTANDARDS

STUDENT AFFAIRS TECHNOLOGY... WEBSTANDARDS STUDNT AFFAIRS TCHNOLOGY WBSTANDARDS W BD V L OPM NTPROC SS F ORNW WBSI TSORMAJ ORADDI TI ONS/ UPDATS R S A R C H ga her ngcon ac s,goal s, pur pose,needs,con en &o her nf o P L A N NI NGreframes cr ea

More information

Cooperative Distributed Scheduling for Storage Devices in Microgrids using Dynamic KKT Multipliers and Consensus Networks

Cooperative Distributed Scheduling for Storage Devices in Microgrids using Dynamic KKT Multipliers and Consensus Networks Cooperave Dsrbued Schedulng for Sorage Devces n Mcrogrds usng Dynamc KK Mulplers and Consensus Newors Navd Rahbar-Asr Yuan Zhang Mo-Yuen Chow Deparmen of Elecrcal and Compuer Engneerng Norh Carolna Sae

More information

PerfCenter: A Methodology and Tool for Performance Analysis of Application Hosting Centers

PerfCenter: A Methodology and Tool for Performance Analysis of Application Hosting Centers PerfCener: A Mehodology and Tool for Performance Analyss of Applcaon Hosng Ceners Rukma P. Verlekar, Varsha Ape, Prakhar Goyal, Bhavsh Aggarwal Dep. of Compuer Scence and Engneerng Indan Insue of Technology

More information

Gestures for pointing devices in screen-based environments. Florian Weil, www.derhess.de

Gestures for pointing devices in screen-based environments. Florian Weil, www.derhess.de Gesures for ponng devces n screen-based envronmens Floran Wel, www.derhess.de December 4, 2010 Absrac Ths paper analyses gesure desgn for ponng devces n screen-based envronmens. By explorng desgn paerns

More information

A Heuristic Solution Method to a Stochastic Vehicle Routing Problem

A Heuristic Solution Method to a Stochastic Vehicle Routing Problem A Heursc Soluon Mehod o a Sochasc Vehcle Roung Problem Lars M. Hvaum Unversy of Bergen, Bergen, Norway. larsmh@.ub.no Arne Løkkeangen Molde Unversy College, 6411 Molde, Norway. Arne.Lokkeangen@hmolde.no

More information

Linear methods for regression and classification with functional data

Linear methods for regression and classification with functional data Lnear mehods for regresson and classfcaon wh funconal daa Glber Sapora Chare de Sasue Appluée & CEDRIC Conservaore Naonal des Ars e Méers 9 rue San Marn, case 44 754 Pars cedex 3, France sapora@cnam.fr

More information

A. Jagadeesan 1, T.Thillaikkarasi 2, Dr.K.Duraiswamy 3

A. Jagadeesan 1, T.Thillaikkarasi 2, Dr.K.Duraiswamy 3 Inernaonal Journal of Compuer Applcaons (0975 8887) Volume No.6, June 00 Crypographc Key Generaon from ulple omerc odales: Fusng nuae wh Irs Feaure A. Jagadeesan, T.Thllakkaras, Dr.K.Duraswamy 3 Senor

More information

Optimization of Nurse Scheduling Problem with a Two-Stage Mathematical Programming Model

Optimization of Nurse Scheduling Problem with a Two-Stage Mathematical Programming Model Asa Pacfc Managemen Revew 15(4) (2010) 503-516 Opmzaon of Nurse Schedulng Problem wh a Two-Sage Mahemacal Programmng Model Chang-Chun Tsa a,*, Cheng-Jung Lee b a Deparmen of Busness Admnsraon, Trans World

More information

Applying the Theta Model to Short-Term Forecasts in Monthly Time Series

Applying the Theta Model to Short-Term Forecasts in Monthly Time Series Applyng he Thea Model o Shor-Term Forecass n Monhly Tme Seres Glson Adamczuk Olvera *, Marcelo Gonçalves Trenn +, Anselmo Chaves Neo ** * Deparmen of Mechancal Engneerng, Federal Technologcal Unversy of

More information

A Hybrid Wind-Solar Energy System: A New Rectifier Stage Topology

A Hybrid Wind-Solar Energy System: A New Rectifier Stage Topology A Hybr n-solar Energy Sysem: A New Recfer Sage Topology Joanne Hu*, IEEE Suen Member, Alreza Bakhsha IEEE Senor Member, an Praveen K. Jan, IEEE Fellow Deparmen of Elecrcal an Compuer Engneerng Queen s

More information

Both human traders and algorithmic

Both human traders and algorithmic Shuhao Chen s a Ph.D. canddae n sascs a Rugers Unversy n Pscaaway, NJ. bhmchen@sa.rugers.edu Rong Chen s a professor of Rugers Unversy n Pscaaway, NJ and Peng Unversy, n Bejng, Chna. rongchen@sa.rugers.edu

More information

The Prediction Algorithm Based on Fuzzy Logic Using Time Series Data Mining Method

The Prediction Algorithm Based on Fuzzy Logic Using Time Series Data Mining Method The Predcon Algorhm Based on Fuzzy Logc Usng Tme Seres Daa Mnng Mehod I Aydn, M Karakose, and E Akn Asrac Predcon of an even a a me seres s que mporan for engneerng and economy prolems Tme seres daa mnng

More information

Testing techniques and forecasting ability of FX Options Implied Risk Neutral Densities. Oren Tapiero

Testing techniques and forecasting ability of FX Options Implied Risk Neutral Densities. Oren Tapiero Tesng echnques and forecasng ably of FX Opons Impled Rsk Neural Denses Oren Tapero 1 Table of Conens Absrac 3 Inroducon 4 I. The Daa 7 1. Opon Selecon Crerons 7. Use of mpled spo raes nsead of quoed spo

More information

Event Based Project Scheduling Using Optimized Ant Colony Algorithm Vidya Sagar Ponnam #1, Dr.N.Geethanjali #2

Event Based Project Scheduling Using Optimized Ant Colony Algorithm Vidya Sagar Ponnam #1, Dr.N.Geethanjali #2 Inernaonal Journal of Compuer Trends and Technology (IJCTT) Volume 18 Number 6 Dec 2014 Even Based Projec Schedulng Usng Opmzed An Colony Algorhm Vdya Sagar Ponnam #1, Dr.N.Geehanjal #2 1 Research Scholar,

More information

TECNICHE DI DIAGNOSI AUTOMATICA DEI GUASTI. Silvio Simani silvio.simani@unife.it. References

TECNICHE DI DIAGNOSI AUTOMATICA DEI GUASTI. Silvio Simani silvio.simani@unife.it. References TECNICHE DI DIAGNOSI AUTOMATICA DEI GUASTI Re Neural per l Idenfcazone d Ssem non Lnear e Paern Recognon slvo.sman@unfe. References Texbook suggesed: Neural Neworks for Idenfcaon, Predcon, and Conrol,

More information

Stable real-time AR framework for training and planning in industrial environments

Stable real-time AR framework for training and planning in industrial environments Inroducon 1 Sable real-e AR fraework for ranng and plannng n ndusral envronens Sable real-e AR fraework for ranng and plannng n ndusral envronens L. Vacche, V. Lepe, M. Ponder, G. Papagannaks, D. Thalann,

More information

Attribution Strategies and Return on Keyword Investment in Paid Search Advertising

Attribution Strategies and Return on Keyword Investment in Paid Search Advertising Arbuon Sraeges and Reurn on Keyword Invesmen n Pad Search Adversng by Hongshuang (Alce) L, P. K. Kannan, Sva Vswanahan and Abhshek Pan * December 15, 2015 * Honshuang (Alce) L s Asssan Professor of Markeng,

More information

System Dynamics models for generation expansion planning in a competitive framework: oligopoly and market power representation

System Dynamics models for generation expansion planning in a competitive framework: oligopoly and market power representation Sysem Dynamcs models for generaon expanson plannng n a compeve framework: olgopoly and marke power represenaon J.J. Sánchez, J. Barquín, E. Ceneno, A. López-Peña Insuo de Invesgacón Tecnológca Unversdad

More information

An Ensemble Data Mining and FLANN Combining Short-term Load Forecasting System for Abnormal Days

An Ensemble Data Mining and FLANN Combining Short-term Load Forecasting System for Abnormal Days JOURNAL OF SOFTWARE, VOL. 6, NO. 6, JUNE 0 96 An Ensemble Daa Mnng and FLANN Combnng Shor-erm Load Forecasng Sysem for Abnormal Days Mng L College of Auomaon, Guangdong Unversy of Technology, Guangzhou,

More information

Cost- and Energy-Aware Load Distribution Across Data Centers

Cost- and Energy-Aware Load Distribution Across Data Centers - and Energy-Aware Load Dsrbuon Across Daa Ceners Ken Le, Rcardo Banchn, Margare Maronos, and Thu D. Nguyen Rugers Unversy Prnceon Unversy Inroducon Today, many large organzaons operae mulple daa ceners.

More information

SPC-based Inventory Control Policy to Improve Supply Chain Dynamics

SPC-based Inventory Control Policy to Improve Supply Chain Dynamics Francesco Cosanno e al. / Inernaonal Journal of Engneerng and Technology (IJET) SPC-based Invenory Conrol Polcy o Improve Supply Chan ynamcs Francesco Cosanno #, Gulo Gravo #, Ahmed Shaban #3,*, Massmo

More information

Modèles financiers en temps continu

Modèles financiers en temps continu Modèles fnancers en emps connu Inroducon o dervave prcng by Mone Carlo 204-204 Dervave Prcng by Mone Carlo We consder a conngen clam of maury T e.g. an equy opon on one or several underlyng asses, whn

More information

The Multi-shift Vehicle Routing Problem with Overtime

The Multi-shift Vehicle Routing Problem with Overtime The Mul-shf Vehcle Roung Problem wh Overme Yngao Ren, Maged Dessouy, and Fernando Ordóñez Danel J. Epsen Deparmen of Indusral and Sysems Engneerng Unversy of Souhern Calforna 3715 McClnoc Ave, Los Angeles,

More information

HAND: Highly Available Dynamic Deployment Infrastructure for Globus Toolkit 4

HAND: Highly Available Dynamic Deployment Infrastructure for Globus Toolkit 4 HAND: Hghly Avalable Dynamc Deploymen Infrasrucure for Globus Toolk 4 L Q 1, Ha Jn 1, Ian Foser,3, Jarek Gawor 1 Huazhong Unversy of Scence and Technology, Wuhan, 430074, Chna quck@chnagrd.edu.cn; hjn@hus.edu.cn

More information

The Definition and Measurement of Productivity* Mark Rogers

The Definition and Measurement of Productivity* Mark Rogers The Defnon and Measuremen of Producvy* Mark Rogers Melbourne Insue of Appled Economc and Socal Research The Unversy of Melbourne Melbourne Insue Workng Paper No. 9/98 ISSN 1328-4991 ISBN 0 7325 0912 6

More information

Efficiency of General Insurance in Malaysia Using Stochastic Frontier Analysis (SFA)

Efficiency of General Insurance in Malaysia Using Stochastic Frontier Analysis (SFA) Inernaonal Journal of Modern Engneerng Research (IJMER) www.jmer.com Vol., Issue.5, Sep-Oc. 01 pp-3886-3890 ISSN: 49-6645 Effcency of General Insurance n Malaysa Usng Sochasc Froner Analyss (SFA) Mohamad

More information

(Im)possibility of Safe Exchange Mechanism Design

(Im)possibility of Safe Exchange Mechanism Design (Im)possbly of Safe Exchange Mechansm Desgn Tuomas Sandholm Compuer Scence Deparmen Carnege Mellon Unversy 5 Forbes Avenue Psburgh, PA 15213 sandholm@cs.cmu.edu XaoFeng Wang Deparmen of Elecrcal and Compuer

More information

Modeling state-related fmri activity using change-point theory

Modeling state-related fmri activity using change-point theory Modelng sae-relaed fmri acvy usng change-pon heory Marn A. Lndqus 1*, Chrsan Waugh and Tor D. Wager 3 1. Deparmen of Sascs, Columba Unversy, New York, NY, 1007. Deparmen of Psychology, Unversy of Mchgan,

More information

Currency Exchange Rate Forecasting from News Headlines

Currency Exchange Rate Forecasting from News Headlines Currency Exchange Rae Forecasng from News Headlnes Desh Peramunelleke Raymond K. Wong School of Compuer Scence & Engneerng Unversy of New Souh Wales Sydney, NSW 2052, Ausrala deshp@cse.unsw.edu.au wong@cse.unsw.edu.au

More information

Omar Shatnawi. Eks p l o a t a c j a i Ni e z a w o d n o s c Ma in t e n a n c e a n d Reliability Vo l.16, No. 4, 2014 585. 1.

Omar Shatnawi. Eks p l o a t a c j a i Ni e z a w o d n o s c Ma in t e n a n c e a n d Reliability Vo l.16, No. 4, 2014 585. 1. Arcle caon nfo: Shanaw O. Measurng commercal sofware operaonal relably: an nerdscplnary modellng approach. Esploaacja Nezawodnosc Manenance and Relably 014; 16 (4): 585 594. Omar Shanaw Measurng commercal

More information

Distribution Channel Strategy and Efficiency Performance of the Life insurance. Industry in Taiwan. Abstract

Distribution Channel Strategy and Efficiency Performance of the Life insurance. Industry in Taiwan. Abstract Dsrbuon Channel Sraegy and Effcency Performance of he Lfe nsurance Indusry n Tawan Absrac Changes n regulaons and laws he pas few decades have afeced Tawan s lfe nsurance ndusry and caused many nsurers

More information

RESOLUTION OF THE LINEAR FRACTIONAL GOAL PROGRAMMING PROBLEM

RESOLUTION OF THE LINEAR FRACTIONAL GOAL PROGRAMMING PROBLEM Revsa Elecrónca de Comuncacones y Trabajos de ASEPUMA. Rec@ Volumen Págnas 7 a 40. RESOLUTION OF THE LINEAR FRACTIONAL GOAL PROGRAMMING PROBLEM RAFAEL CABALLERO rafael.caballero@uma.es Unversdad de Málaga

More information

Fixed Income Attribution. Remco van Eeuwijk, Managing Director Wilshire Associates Incorporated 15 February 2006

Fixed Income Attribution. Remco van Eeuwijk, Managing Director Wilshire Associates Incorporated 15 February 2006 Fxed Incoe Arbuon eco van Eeuwk Managng Drecor Wlshre Assocaes Incorporaed 5 February 2006 Agenda Inroducon Goal of Perforance Arbuon Invesen Processes and Arbuon Mehodologes Facor-based Perforance Arbuon

More information

Pavel V. Shevchenko Quantitative Risk Management. CSIRO Mathematical & Information Sciences. Bridging to Finance

Pavel V. Shevchenko Quantitative Risk Management. CSIRO Mathematical & Information Sciences. Bridging to Finance Pavel V. Shevchenko Quanave Rsk Managemen CSIRO Mahemacal & Informaon Scences Brdgng o Fnance Conference Quanave Mehods n Invesmen and Rsk Managemen: sourcng new approaches from mahemacal heory and he

More information

Y2K* Stephanie Schmitt-Grohé. Rutgers Uni ersity, 75 Hamilton Street, New Brunswick, New Jersey 08901 E-mail: grohe@econ.rutgers.edu.

Y2K* Stephanie Schmitt-Grohé. Rutgers Uni ersity, 75 Hamilton Street, New Brunswick, New Jersey 08901 E-mail: grohe@econ.rutgers.edu. Revew of Economc Dynamcs 2, 850856 Ž 1999. Arcle ID redy.1999.0065, avalable onlne a hp:www.dealbrary.com on Y2K* Sephane Schm-Grohé Rugers Unersy, 75 Hamlon Sree, New Brunswc, New Jersey 08901 E-mal:

More information

ANALYSIS OF SOURCE LOCATION ALGORITHMS Part I: Overview and non-iterative methods

ANALYSIS OF SOURCE LOCATION ALGORITHMS Part I: Overview and non-iterative methods ANALYSIS OF SOURCE LOCATION ALGORITHMS Par I: Overvew and non-erave mehods MAOCHEN GE Pennsylvana Sae Unversy, Unversy Park PA 1680 Absrac Ths arcle and he accompanyng one dscuss he source locaon heores

More information

A Real-time Adaptive Traffic Monitoring Approach for Multimedia Content Delivery in Wireless Environment *

A Real-time Adaptive Traffic Monitoring Approach for Multimedia Content Delivery in Wireless Environment * A Real-e Adapve Traffc Monorng Approach for Muleda Conen Delvery n Wreless Envronen * Boonl Adpa and DongSong Zhang Inforaon Syses Deparen Unversy of Maryland, Balore Couny Balore, MD, U.S.A. bdpa1@ubc.edu,

More information

A binary powering Schur algorithm for computing primary matrix roots

A binary powering Schur algorithm for computing primary matrix roots Numercal Algorhms manuscr No. (wll be nsered by he edor) A bnary owerng Schur algorhm for comung rmary marx roos Federco Greco Bruno Iannazzo Receved: dae / Acceed: dae Absrac An algorhm for comung rmary

More information

A robust optimisation approach to project scheduling and resource allocation. Elodie Adida* and Pradnya Joshi

A robust optimisation approach to project scheduling and resource allocation. Elodie Adida* and Pradnya Joshi In. J. Servces Operaons and Informacs, Vol. 4, No. 2, 2009 169 A robus opmsaon approach o projec schedulng and resource allocaon Elode Adda* and Pradnya Josh Deparmen of Mechancal and Indusral Engneerng,

More information

Chapter 5 Instructor Notes

Chapter 5 Instructor Notes G zzon, Prncples and Applcaons of Elecrcal Engneerng Problem soluons, haper 5 haper 5 Insrucor Noes haper 5 has been reorganzed n response o a number of suggesons forwarded by users of he hrd eon of hs

More information

Ground rules. Guide to the calculation methods of the FTSE Actuaries UK Gilts Index Series v1.9

Ground rules. Guide to the calculation methods of the FTSE Actuaries UK Gilts Index Series v1.9 Ground rules Gude o he calculaon mehods of he FTSE Acuares UK Gls Index Seres v1.9 fserussell.com Ocober 2015 Conens 1.0 Inroducon... 4 1.1 Scope... 4 1.2 FTSE Russell... 5 1.3 Overvew of he calculaons...

More information

Partial Fingerprint Matching

Partial Fingerprint Matching Paral Fngerprn Machng Tsa-Yang Jea, Vraj S. Chavan, John K. Schneder and Venu Govndaraju Sae Unversy of New York a Buffalo Amhers, New York 14228, USA jea@cedar.buffalo.edu ABSTRACT Fngerprn denfcaon s

More information

Index Mathematics Methodology

Index Mathematics Methodology Index Mahemacs Mehodology S&P Dow Jones Indces: Index Mehodology Ocober 2015 Table of Conens Inroducon 4 Dfferen Varees of Indces 4 The Index Dvsor 5 Capalzaon Weghed Indces 6 Defnon 6 Adjusmens o Share

More information

Insurance. By Mark Dorfman, Alexander Kling, and Jochen Russ. Abstract

Insurance. By Mark Dorfman, Alexander Kling, and Jochen Russ. Abstract he Impac Of Deflaon On Insurance Companes Offerng Parcpang fe Insurance y Mar Dorfman, lexander Klng, and Jochen Russ bsrac We presen a smple model n whch he mpac of a deflaonary economy on lfe nsurers

More information

Preface. Frederick D. Wolf Director, Accounting and Financial Management Division

Preface. Frederick D. Wolf Director, Accounting and Financial Management Division f Preface The hallmark of a professonal audor s a commmen o connued self-developmen. As new and challengng problems and ssues confron us, we mus respond by sharpenng and expandng our echncal experse, analycal

More information

Levy-Grant-Schemes in Vocational Education

Levy-Grant-Schemes in Vocational Education Levy-Gran-Schemes n Vocaonal Educaon Sefan Bornemann Munch Graduae School of Economcs Inernaonal Educaonal Economcs Conference Taru, Augus 26h, 2005 Sefan Bornemann / MGSE Srucure Movaon and Objecve Leraure

More information

OPENING THE INTERREGIONAL TRADE BLACK BOX : THE C-INTEREG DATABASE FOR THE SPANISH ECONOMY (1995-2005)

OPENING THE INTERREGIONAL TRADE BLACK BOX : THE C-INTEREG DATABASE FOR THE SPANISH ECONOMY (1995-2005) OPENING THE INTERREGIONAL TRADE BLACK BOX : THE C-INTEREG DATABASE FOR THE SPANISH ECONOMY (1995-2005) AUTHORS: Carlos Llano Economc Analyss Deparmen. and L.R.Klen Insue-CEPREDE. Faculad de CC.EE y EE.

More information

Guidelines and Specification for the Construction and Maintenance of the. NASDAQ OMX Credit SEK Indexes

Guidelines and Specification for the Construction and Maintenance of the. NASDAQ OMX Credit SEK Indexes Gudelnes and Specfcaon for he Consrucon and Manenance of he NASDAQ OMX Cred SEK Indexes Verson as of Aprl 7h 2014 Conens Rules for he Consrucon and Manenance of he NASDAQ OMX Cred SEK Index seres... 3

More information

Capital Services and Total Factor Productivity Measurements: Impact of Various Methodologies for Belgium

Capital Services and Total Factor Productivity Measurements: Impact of Various Methodologies for Belgium Capal Servces and Toal Facor Producvy Measuremens: Impac of Varous Mehodologes for Belgum Bernadee Baour, bb@plan.be, Geer Bryon, gb@plan.be, Chanal Kegels, ck@plan.be 1 Federaal Planbureau March 2007

More information

THE USE IN BANKS OF VALUE AT RISK METHOD IN MARKET RISK MANAGEMENT. Ioan TRENCA *

THE USE IN BANKS OF VALUE AT RISK METHOD IN MARKET RISK MANAGEMENT. Ioan TRENCA * ANALELE ŞTIINłIFICE ALE UNIVERSITĂłII ALEXANDRU IOAN CUZA DIN IAŞI Tomul LVI ŞnŃe Economce 009 THE USE IN BANKS OF VALUE AT RISK METHOD IN MARKET RISK MANAGEMENT Ioan TRENCA * Absrac In sophscaed marke

More information

Design and Implementation of Speech Recognition System Based on Field Programmable Gate Array

Design and Implementation of Speech Recognition System Based on Field Programmable Gate Array Vol. 3, No. 8 Modern Appled Scence Desgn and Implemenaon of Speech Recognon Sysem Based on Feld Programmable Gae Array Haao Zhou Informaon and Communcaon Deparmen Tann Polyechnc Unversy Tann 30060, Chna

More information

Global supply chain planning for pharmaceuticals

Global supply chain planning for pharmaceuticals chemcal engneerng research and desgn 8 9 (2 0 1 1) 2396 2409 Conens lss avalable a ScenceDrec Chemcal Engneerng Research and Desgn journal homepage: www.elsever.com/locae/cherd Global supply chan plannng

More information

A GENERALIZED FRAMEWORK FOR CREDIT RISK PORTFOLIO MODELS

A GENERALIZED FRAMEWORK FOR CREDIT RISK PORTFOLIO MODELS A GENERALIZED FRAMEWORK FOR CREDIT RISK PORTFOLIO MODELS H. UGUR KOYLUOGLU ANDREW HICKMAN Olver, Wyman & Company CSFP Capal, Inc. * 666 Ffh Avenue Eleven Madson Avenue New Yor, New Yor 10103 New Yor, New

More information

CLoud computing has recently emerged as a new

CLoud computing has recently emerged as a new 1 A Framework of Prce Bddng Confguraons for Resource Usage n Cloud Compung Kenl L, Member, IEEE, Chubo Lu, Keqn L, Fellow, IEEE, and Alber Y. Zomaya, Fellow, IEEE Absrac In hs paper, we focus on prce bddng

More information

Finance and Economics Discussion Series Divisions of Research & Statistics and Monetary Affairs Federal Reserve Board, Washington, D.C.

Finance and Economics Discussion Series Divisions of Research & Statistics and Monetary Affairs Federal Reserve Board, Washington, D.C. Fnance and Economcs Dscusson Seres Dvsons of Research & Sascs and Moneary Affars Federal Reserve Board, Washngon, D.C. Prcng Counerpary Rs a he Trade Level and CVA Allocaons Mchael Pyhn and Dan Rosen 200-0

More information