Grangeat-Type Helical Half-Scan CT Algorithm for Reconstruction of a Short Object. Seung Wook Lee a, b and Ge Wang a. Department of Radiology

Size: px
Start display at page:

Download "Grangeat-Type Helical Half-Scan CT Algorithm for Reconstruction of a Short Object. Seung Wook Lee a, b and Ge Wang a. Department of Radiology"

Transcription

1 Granga-Typ Hlical Half-Scan CT Algorihm for Rconsrucion of a Shor Objc Sung Wook L a, b and G Wang a a CT/Micro-CT Lab. Dparmn of Radiology Dparmn of Biomdical Enginring Univrsiy of Iowa Iowa Ciy, IA, USA b Dparmn of Nuclar and Quanum Enginring Kora Advancd Insiu of Scinc and Tchnology Dajon, 0-0, Souh Kora Corrsponding Addrss Sung Wook L and G Wang CT/Micro-CT Laboraory Dparmn of Radiology Univrsiy of Iowa Iowa ciy, IA, USA Tl -6-0 Fax swl@c.radiology.uiowa.du g@c.radiology.uiowa.du //00 : PM

2 ABSTRACT Currnly, con-bam CT and Micro-CT scannrs ar undr rapid dvlopmn for major biomdical applicaions. Half-scan conbam imag rconsrucion algorihms assum only par of a scanning urn, and ar advanagous in rms of mporal rsoluion and imag arifacs. Whil h xising half-scan con-bam algorihms ar in h Fldkamp framwork, w hav publishd a halfscan algorihm in h Granga framwork for a circular rajcory. In his papr, w xnd our prvious work o a hlical cas wihou daa runcaion. W modify h Granga's formula for uilizaion and simaion of Radon daa. Spcifically, w cagoriz ach characrisic poin in h Radon spac ino singly, doubly, riply sampld, and shadow rgions rspcivly. A smooh wighing sragy is dsignd o compnsa for daa for rdundancy and inconsisncy. In h hlical half-scan cas, h concps of projcd rajcoris and ransiion poins on mridian plans ar inroducd o guid h dsign of wighing funcions. Thn, h shadow rgion is rcovrd via linar inrpolaion afr smooh wighing. Th Shpp-Logan phanom is usd o vrify h corrcnss of h formulaion, and dmonsra h mris of h Granga-yp half-scan algorihm. Our Granga-yp hlical half-scan algorihm is no only valuabl for quaniaiv and/or dynamic biomdical applicaions of CT and micro-ct, bu also srv as an inrmdia sp owards solving h long objc problm. Ky words: half-scan, Granga-yp rconsrucion, con-bam CT, hlical CT, rconsrucion Running il: L and Wang: Hlical Half-scan Granga formula //00 : PM

3 Sung Wook L and G Wang: Hlical Half-Scan Granga 6 I. INTRODUCTION Sixn-slic hlical compurizd omography CT scannrs ar alrady commrcially availabl. C-arm sysms and svral micro-ct sysms ar also basd on con-bam acquisiion and rconsrucion -. Prooyps of h con-bam sysms wr rcnly rpord. Wih rapid incrmn in h numbr of dcor rows, h concp of con-bam CT or volumric CT will bcom mor and mor popular. Nw applicaions ar mad possibl by hs nw fas volumric imaging chnologis, such as for cardiac and lung xaminaions, CT angiography, and inrvnional procdurs 6,. In hos applicaions, high mporal rsoluion is on of h mos imporan rquirmns. 8 0 Half-scan chniqus wr dvlopd o improv h mporal rsoluion for axial and spiral CT imags 8,. Whil half-scan con-bam algorihms in h Fldkamp framwork hav rlaivly long hisory 0-, h half-scan conbam algorihms hav bn rcnly dvlopd in h Granga framwork for h circular scanning gomry by our Laboraory as wll by Noo and Huschr indpndnly,. Th diffrnc bwn hs rsuls is subsanial. Tha is, our work is in h rbinning framwork, whil h formulaion by Noo and Huschr is in h filrd backprojcion forma This rsarch is a naural xnsion of our half-scan algorihm from circular o hlical scanning gomry o solv h shor objc problm, which assums ha h objc is complly covrd by h X-ray con bam from any sourc posiion. Evn hough h gomry for daa runcaion along h axial dircion is h mos pracical, rsarch wih h shor objc gomry is no only valuabl on is own, such as for micro-ct imaging of sphrical sampls, bu also ssnial as an inrmdia sp oward solving h long objc problm,8. 0 This papr is organizd as follows. In Scion II.A h Granga algorihm is brifly rviwd for complnss. In II.B, h rbinning quaions for a hlical rajcory ar inroducd. In II.C, h hlical half-scan Granga formula is dscribd. In II.D, h wighing funcions ar drivd. In II.E, h inrpolaion mhod usd in his sudy is xplaind. In II.F, h implmnaion procdur is summarizd. In Scion III, h rsuls ar prsnd and discussd. Finally, In Scion VI, h papr is concludd. //00 : PM

4 Sung Wook L and G Wang: Hlical Half-Scan Granga II. MATERIALS AND METHODS A. GRANGEAT FRAMEWORK 6 A.. GRANGEAT'S DERIVATION For con-bam CT, i is insrumnal o connc con-bam daa o D Radon daa. Smih, Tuy and Granga indpndnly sablishd such conncions,,0. Granga s formulaion is gomrically araciv and bcoms popular. Hr, w rviw Granga's drivaion procss. I largly follows h noaions dfind in. In con-bam gomry as in Fig., h D Radon ransform a h characrisic poin C is dfind by 8 Rf n / / 0 f n, r, rdrd, 0 which mans h plan ingraion of h gray riangl wih on of h vrics bing h sourc poin S. Th plan is normal o h vcor n. Any poin on h plan is rprsnd wih h polar coordina r, on islf. A con-bam projcion is h lin ingraion from S o any poin A on h dcor plan and is mahmaically rprsnd by 0 Xf n f n, r, dr. As you can noic, hr is r in Eq., which prvns us from using h masurd con-bam projcion. To limina his, h firs drivaiv wih rspc o is applid o Eq. and w hav 6 Rf n / / 0 f n, r, rdrd. 8 To firs ordr, w hav h following rlaion a any poin on h plan, n, r, : d r cos d, whr is h angl bwn SO and SC. 0 By subsiuing d d, d d r cos w hav //00 : PM

5 Sung Wook L and G Wang: Hlical Half-Scan Granga Rf / f n, r, dr d. 6 cos / 0 Hr, r is canclld ou and h con bam projcion can b dircly uilizd as Rf / Xf n, d cos / 6 Th wo angular variabls, and can b changd o h variabls on h dcor plan, s and, wih h following gomrical rlaionships. s SO an 8 SC D an 8 Diffrniaing h wo yilds 0 SO ds d 0 cos d SA cos d Finally, w hav SO Rf n Xf s n, d cos s SA A.. CONE-BEAM DATA TO DERIVATIVE DATA IN THE RADON DOMAIN 6 Fig. is ransformd o Fig. o show h gomrical rlaionship bwn h dcor plan and h mridian plan in h Radon domain. Accordingly, Eq. can b rwrin as 8 Rf n Rf n cos s cos s SO X SA whr Xf s n,, n w D f Xf s n,, n d s n,, n d, is h dcor valu, which is dfind by h disanc s from h dcor O cnr O along h lin prpndicular o on h dcor plan D D D xnding an angl from h //00 : PM D C

6 Sung Wook L and G Wang: Hlical Half-Scan Granga SO x -axis, h disanc bwn h sourc and h dcor cnr, SA h disanc bwn h sourc and an D arbirary poin mridian plan A along, and h angl bwn SOD and SC. Givn a characrisic poin C on a in h Radon domain, h plan orhogonal o h vcor n is drmind. Thn, h M inrscion poins of h plan wih h sourc rajcory a can b found, and h dcor plans D spcifid, on which h lin ingraion ough o b prformd. L C dno h inrscion of h dcor plan D 6 D wih h ray ha coms from S and gos hrough C. Th posiion CD can b dscribd by a vcor sn D. To compu h drivaiv of Radon valu a C, h lin ingraion is prformd along, which is orhogonal o h 8 vcor sn D. Onc h firs drivaiv of Radon is calculad, h original funcion f can b rconsrucd wih h 0 following D Radon invrsion formula:, / x f d 8 Rf [ x n n ] sin d. / 0 B. REBINNING EQUATIONS FOR A HELICAL TRAJECTORY Th gomry for a hlical half-scan is shown in Fig., whr x, yz, is h rfrnc coordina sysm, y', z' dnos a mridian plan a from h x-axis, and h sourc vrx,, rangs from 0 o m. If h hlical 6 pich is dnod by h, h sourc rajcory can b paramrizd as a SO cos, SO sin, h z0. 8 To compu h drivaiv of h Radon valu a n, w nd firs calcula h lin ingraion poin C D on a dcor plan, hrough which a lin ingraion is prformd along h lin normal o OC D. Thr is a 0 gomrical rlaionship bwn h characrisic poin words, w can find s,, from,,.,, and h lin ingraion poin s,,. In ohr Th D Radon valu a a characrisic poin,, following quaion: is h ingraion of an objc on a plan saisfying h n x. 6 //00 : PM

7 Sung Wook L and G Wang: Hlical Half-Scan Granga Th inrscion of h plan wih h sourc rajcory is found by rplacing x wih a o solv n a whr n sin cos, sin sin, cos dnos h characrisic poin, and a R cos, R sin, h z h sourc posiion. Th quaion can b wrin as: 0 R cos sin cos R sin sin sin h z0 cos 0 R sin cos cos sin sin h z0 cos 8 6 Whil w can calcula h lin ingraion poin analyically in a circular rajcory cas, w can only do i numrically in a hlical rajcory cas. Onc w acquir, w hav lin ingraion poin, s on h dcor plan, D 8 whr. Th quaions ar xprssd as : co an sin, 0 h z0 cos sin s. 0 cos Thrfor, h Radon valu a h characrisic poin dfind by,, can b calculad by h ingraion along h lin rprsnd by, s, according o Eqs C. GRANGEAT-TYPE HELICAL HALF-SCAN FORMULA 6 Wih a circular half-scan, hr ar hr yps of rgions: shadow, singly and doubly sampld rgions, rspcivly. Wih a hlical half-scan, in addiion o hos hr yps of rgions, hr may b riply sampld rgions as wll. Thy ar schmaically illusrad in Fig.. Hnc, h Granga-yp hlical half-scan formula mus b in h following forma: 8 Rf n g g R f n, g whr g dno h wighing funcions, g is a group idnifir o b xplaind in dail lar, and //00 : PM

8 Sung Wook L and G Wang: Hlical Half-Scan Granga 6 SO f n Xf s,, d. cos s SA R g Th form is basically h sam as ha wih a circular half-scan rajcory bu hr wighing funcions and corrsponding Radon valus ar ndd for ach characrisic poin, whil w only nd wo wighing funcions in a circular half-scan cas. In Eq., h valu of h group idnifir g is drmind according o h following criria 6 g =, 0,,, 8, m. whr and ar angnial vrics and will b xplaind in dail in Sc D.. This mans ha h calculad 0 Radon daa mus blong o on of h hr groups dpnding on h saisfy. Rgarding h wighing funcions, hy mus g g. If w assum ha hr is no moion or daa inconsisncy during h scan, w can simply avrag Radon daa from diffrn vrics. In his cas, h wighing funcions bcom disconinuous. Howvr, in ral siuaions, moion ffcs and daa inconsisncy should b akn ino accoun. Thn, h disconinuous wighing funcions could 6 caus arifacs. Thrfor, h smooh wighing funcions ar ndd for saisfacory imag qualiy. Th nx scion will b dvod for his purpos. 8 D. WEIGHTING FUNCTIONS //00 : PM

9 Sung Wook L and G Wang: Hlical Half-Scan Granga Th concps of projcd rajcory and ransiion poins ar ndd bfor our wighing funcions ar dsignd. Hnc, w firs inroduc hm in D. and D.. Thn, w dsign h wighing funcions in D.. D.. PROJECTED TRAJECTORY ON A MERIDIAN PLANE AT Th projcd rajcory on a mridian plan a is usful for dsign of h wighing funcions. Svral projcd 6 rajcoris on diffrn mridian plans ar shown in Fig.. Th sourc rajcory of Eq. is firs ransformd 8 from x, y, z o x', y', z' coordina sysms, as shown in Fig.. Thrfor, for a givn mridian plan a projcd rajcory on his plan is dscribd as, h y SOsin. z h z0 0 Dashd lins in Fig. 6a rprsn h plans normal o h mridian plan. Th ingraion rsuls on h plans corrsponding o ach lin mus b qual o h Radon valu a,,. In h Granga framwork, h drivaiv of Radon daa is calculad from h dcor plans as dnod by h colord lins associad wih h inrscd vrx poins. Gomrically, hr can b maximally hr inrscion poins. For a givn,, h numbr of inrscing poins drmins h dgr of rdundancy and dpnds on. 6 D.. TRANSITION POINTS ON THE PROJECTED TRAJECTORY Evry projcd rajcory has wo nd poins xprssd by 8 y, z SOsin0,0 z0, 6 y, z SOsin m, h m z0. 0 For a givn on a mridian plan, hr may b plans normal o and angn o h projcd rajcory. Th angnial poins can b analyically spcifid by //00 : PM

10 Sung Wook L and G Wang: Hlical Half-Scan Granga 8 y, z SOsin, h z0, 8 y, z SOsin, h z0, whr, ar calculad in h following: A projcd rajcory on a mridian plan is drmind as y SOsin, 0 6 z h z 0. To xprss as a funcion of z, w obain 8 z z0 h, subsiu Eq. ino Eq. 0, and hav 0 z z0 y SOsin. h Thn, w compu h drivaiv and s i o h slop of h colord lin: dy z z SO cos 0 co dz h h. In ohr words, z hcos h SO co z0. Thn, w hav 6 cos h SO co. 6 //00 : PM

11 Sung Wook L and G Wang: Hlical Half-Scan Granga Th soluion of his quaion is maningful only whn 0 m, rsuling in up o wo soluions: and. I is assumd ha vrics in Subscion C. is grar han if i xiss. Rcall ha hs and ar usd for grouping In rms of h abov nd poins and angnial poins, w can find h ransiion poins as follows: 6 8, whr y, z sin, cos. As shown in Fig. 6a, w can idnify h yp of a rgion according o h 0 following cririon:, indicaing a doubly sampld rgion;, a singly sampld rgion;, a doubly sampld rgion. D.. SMOOTH WEIGHTING FUNCTIONS Wighing funcions ar dsignd in rfrnc o,,,, which ar funcions of and. Mahmaically spaking, hr ar up o wo possibiliis whn w hav nihr nor, which ar 6 and. Similarly, hr ar up o six cass whn w hav only ihr or. Furhrmor, hr ar up o wny four cass whn w hav boh and. Howvr, all h samns ar no maningful afr our cas-by- 8 cas inspcion. I is found ha hr xis only lvn cass acually. For xampl, in absnc of and, w always hav h cas of, and nvr hav h cas of. Similarly, i is impossibl o hav h 0 cass of and in absnc of. Thos lvn cass ar: i in absnc of and ; ii in absnc ; iii in absnc of ; iv in //00 : PM

12 Sung Wook L and G Wang: Hlical Half-Scan Granga 0 absnc of ; v in absnc of ; vi ; vii ; ix ; x ; xi. ; viii In addiion o our gomric analysis on projcd rajcoris on h mridian plan, w did xclusiv numrical simulaion o confirm ha hr ar only h abov lvn maningful cass. For all h,, w calculad h ransiion poins, sord h valus, and dcidd which on of h mahmaically possibl hiry wo 6 cass i blongs o. Onc a spcific cas was found, w s h flag for ha cas on. Afr his kind of numrical 8 vrificaion, w liminad h cass ha nvr happnd. Also, w rpad h simulaion wih rspc o rprsnaiv combinaions of imaging paramrs, including h sourc-o-origin disanc, hlical pich and con m angl. Finally, i was confirmd ha hr ar indd only h abov lvn cass ha ar fasibl. 0 For ach of hos maningful cass, smooh wighing funcions ar dsignd in rms of,,, 6. Th wo gnral rquirmns ar ha h sum of h wighs for ach characrisic poin b on, and h wigh profil along h dircion b coninuous. To furhr undrsand h dsigning procssing, som rprsnaiv illusraions ar considrd hlpful. Fig. 6b rprsns h cas whr hr is nihr nor for givn,, and only group xiss. Thrfor,, and and ar s o zro. Fig. 6c corrsponds o h cas whr hr is on angnial poin, and wo groups ar availabl. Th rajcory from o blongs o group, whil ha from o blongs o group. Th wighing funcion for group,, is dsignd o chang gradually from o 0 along h projcd rajcory from o, whil h wighing funcion for group,, 8 incrass from 0 o in h sam inrval, and says consan bwn and. is s o zro sinc hr is 0 no group. Of cours, h sum of h wighing funcions should b mad on. Fig. 6d illusras h cas whr hr ar wo angnial poins, and w hav group bwn and, group bwn and, and group bwn and. Th wighing funcion for h group,, should b on bwn o, and smoohly chang from o 0 along h projcd rajcory from o. Th wighing funcion for h group,, should smoohly chang from 0 o along h rajcory from o, and b 0 bwn and. Th //00 : PM

13 Sung Wook L and G Wang: Hlical Half-Scan Granga wighing funcion for h group,, is dsignd o smoohly incras from 0 a unil i rachs h middl poin bwn and, and dcras o 0 a. Som rprsnaiv disribuions of h wighing funcions ar includd in Fig.. Th wighing funcions ar formulad as follows, kyd o ach of h fasibl cass: i in absnc of and : 6, 0, 8 0. ii in absnc : 0 cos, 0, sin,, 0 iii in absnc of : 6 0, sin, //00 : PM

14 Sung Wook L and G Wang: Hlical Half-Scan Granga, cos, 0 iv in absnc of : sin,, 6 cos, 0, 8 0 v in absnc of : 0, cos, 0, sin, 0 vi 6 //00 : PM

15 Sung Wook L and G Wang: Hlical Half-Scan Granga 0, 0, sin, sin,, cos, 6 cos, 0, 8 0, 0 vii cos, 0, 0, sin,, 6 //00 : PM

16 Sung Wook L and G Wang: Hlical Half-Scan Granga cos, 0, 0, sin, viii, 6 cos, / 0, / 8 0, 0, 0 sin, / sin, / 0, 0, 0, / cos, / 6 //00 : PM

17 Sung Wook L and G Wang: Hlical Half-Scan Granga, ix 0, sin,,, 6,, 8, cos, 0 0, x 0, sin, / sin, / //00 : PM

18 Sung Wook L and G Wang: Hlical Half-Scan Granga 6 0,, cos, / 0, / 0,, 6 cos, / cos, / 8, xi 0, cos, / cos, /, 0, //00 : PM

19 Sung Wook L and G Wang: Hlical Half-Scan Granga 0, / cos, /, 0, sin, / 6 sin, / 0, 8 E. INTERPOLATION 0 As w did in h circular scanning cas,, in his sudy w coninu using h linar inrpolaion sragy o sima missing daa. Th boundaris of h shadow zon wr numrically drmind. Thn, h shadow zons wr linarly inrpolad along h dircion using h masurd boundary valus. To dmonsra his inrpolaion ida graphically, Fig. 8 shows h drivaivs of Radon daa wih no inrpolaion and wih linar inrpolaion, rspcivly. F. IMPLEMENTATION PROCEDURE 6 To summariz, h Granga-yp half-scan algorihm can b implmnd in h following sps: Spcify a characrisic poin,, whr h drivaiv of Radon daa can b calculad; 8 Calcula and ; //00 : PM

20 Sung Wook L and G Wang: Hlical Half-Scan Granga 8 Calcula,,, ; Calcula smooh wighing funcions,,,,,, and,, ; Drmin lin ingraion poins for h givn characrisic poin according o h rbinning Eqs. 8-0; 6 Calcula h drivaivs of Radon daa using Eqs., and sor hm according o hir group mmbrship as drmind by Eq. ; 6 Apply h wighing funcions o h drivaiv of Radon daa using Eq. ; 8 Rpa Sps - unil all h masurabl characrisic poins ar don; 8 Esima h Radon daa in h shadow zon using h linar inrpolaion mhod in his sudy; 0 Us h wo sag paralll-bam backprojcion algorihm as dfind by Eq. o rconsruc an imag volum. 0 No ha rsuls from sps - can b pr-calculad and sord for compuaional fficincy. Similarly, h rbinning cofficins from Sp can b found bforhand. 6 III. RESULTS AND DISCUSSIONS W dvlopd a sofwar simulaor in h IDL Languag Rsarch Sysms Inc., Bouldr, Colorado for Grangayp imag rconsrucion. In h implmnaion of h Granga-yp formula, h numrical diffrniaion was prformd wih a buil-in funcion basd on -poin Lagrangian inrpolaion. Th sourc-o-origin disanc was s o. Th numbr of dcors pr con-bam projcion was 6 by 8 6. Th siz of h D dcor plan was. by.. Th hlical pich was. Th full-con angl was abou 0 dgr. Th scan rang was from 0 o m. Th numbr of projcions was 0. Th numbr of mridian plans 0 was 80. Th numbrs of radial and angular sampls wr 6 and 60, rspcivly. Each rconsrucd imag volum had dimnsions of. by. by., and conaind 6 by 6 by 6 voxls. On migh us h sam numbr of projcions abov and blow ach and vry slic so ha all slics hav h sam imag qualiy. Our prfrrd approach uss an asymmric numbr of slics abov and blow h slic xcp for h z=0 slic. If w us h symmric half-scan hlical Fldkamp, which has symmric projcions for any z //00 : PM

21 Sung Wook L and G Wang: Hlical Half-Scan Granga 6 locaion, all slics would hav similar imag qualiy. Howvr, i mans ha ach slic is rconsrucd in a diffrn im window. Th primary purpos of our work is o dvlop half-scan algorihms in h Granga framwork wih suprior mporal characrisics mporal rsoluion and mporal consisncy; h lar rquirs ha a whol volum of inrs is rconsrucd wih projcions in h sam im window and lss imag arifacs which is achivd by appropria daa handling in h shadow zon. Th rason ha w us h asymmric projcions is o mainain his mporal consisncy. W can also us half-scan hlical Fldkamp mhods in h sam way. 8 0 Th D Shpp-Logan phanom was usd in h numrical simulaion as shown in Tabl. Fig. shows h drivaivs of Radon daa of h Shpp-Logan phanom, h wighing funcions for ach group, and h combind daa. Fig. 0 prsns ypical rconsrucd slics of h Shpp-Logan phanom. Wih h hlical half-scan Fldkamp mhod Fig. 0a and h hlical half-scan Granga and zro-padding mhod Fig. 0 b, h low innsiy drop was srious away from h cnr plan. Howvr, his yp of arifacs was ssnially liminad wih h hlical half-scan Granga and linar inrpolaion mhod Fig. 0c. IV. DISCUSSIONS AND CONCLUSION 6 In h wriing priod of our firs draf, i cam o our anion ha Noo and Huschr rcnly publishd a half-scan con-bam rconsrucion papr in an SPIE confrnc. Th similariy bwn our work and hir papr is ha 8 boh h groups considrd h half-scan con-bam rconsrucion using h Granga mhod. Howvr, hir work is in h filrd backprojcion framwork 6, whil ours is in h rbinning framwork. 0 6 W bliv ha boh halfscan algorihms ar complmnary. I sms ha daa filling mchanism is mor flxibl in our rbinning framwork. Noo and Huschr suggsd ha h paralll-bam approximaion of con-bam projcion daa b usd o sima missing daa, which is don in h spaial domain. This kind of spaial domain procssing is also allowd in our framwork. In addiion o h spaial domain approximaion, h Radon domain simaion, such as linar inrpolaion, splin inrpolaion and knowldg-basd inrpolaion, can b don in our framwork as wll. Howvr, in h filrd backprojcion framwork, ach fram of con-bam projcion daa can b procssd as soon as i is acquird, a dsirabl propry for pracical implmnaion. Clarly, a sysmaic comparison of h wo algorihms is worh of furhr invsigaion. //00 : PM

22 Sung Wook L and G Wang: Hlical Half-Scan Granga 0 Th hlical scanning gomry sudid in his papr is o solv h shor objc problm, which assums ha h objc is complly covrd by h X-ray con bam from any sourc posiion. Evn hough rsarch wih h shor objc gomry is valuabl on is own, such as for micro-ct imaging of sphrical sampls, h gomry for daa runcaion along h axial dircion is h mos pracical. Thrfor, h xnsion of our Granga-yp hlical half-scan CT work o h long objc cas is an imporan fuur opic. 6 In conclusion, w hav formulad a Granga-yp half-scan algorihm in h hlical scanning cas o solv 8 h shor objc problm. Th smooh half-scan wighing funcions hav bn dsignd o compnsa for daa rdundancy and inconsisnc. Numrical simulaion rsuls hav vrifid h corrcnss of our formulaion, and 0 dmonsrad h mris of our algorihm. W bliv ha h Granga-yp half-scan algorihm is promising for quaniaiv and dynamic biomdical applicaions of CT and micro-ct. ACKNOWLEDGEMENT W would lik o hank Dr. Dominic J. Huschr and Dr. Frdric Noo for mailing us hir SPIE papr. This work was suppord in par by h NIH gran R0 DC00 and EB0068. //00 : PM

23 L and Wang: Half-scan Granga formula REFERENCES S. W. L and G. Wang, "A Granga-yp half-scan algorihm for con-bam CT," Md. Phys. 0, D. W. Holdsworh, "Micro-CT in small animal and spcimn imaging," Trnds in Biochnology 0, S-S 00. G. Wang, "Micro-CT scannrs for biomdical applicaions: an ovrviw," Adv. Imaging 6, R. Ning, X. Tang, D. Conovr, and R. Yu, "Fla panl dcor-basd con bam compud omography wih a circl-plus-wo-arcs daa acquisiion orbi: Prliminary phanom sudy," Md. Phys. 0, K. Taguchi, "Tmporal rsoluion and h valuaion of candida algorihms for four-dimnsional CT," Md. Phys. 0, W. A. Kalndr, Compud omography: Fundamnals, Sysm Tchnology, Imag Qualiy, Applicaions Publicis MCD Vrlag, Munich, 000. G. Wang, C. R. Crawford, and W. A. Kalndr, "Mulirow dcor and con-bam spiral/hlical CT," IEEE Trans. Md. Imaging, D. L. Parkr, "Opimal shor scan convoluion rconsrucion for fanbam CT," Md. Phys., - 8. C. R. Crawford and K. F. King, "Compud omography scanning wih simulanous pain ranslaion," Md. Phys., G. T. Gullbrg and G. L. Zng, "A con-bam filrd backprojcion rconsrucion algorihm for cardiac singl phoon mission compud omography," IEEE Trans. Md. Imaging, -0. G. Wang, Y. Liu, T. H. Lin, and P. C. Chng, "Half-scan con-bam x-ray microomography formula," Scanning 6, 6-0. S. Zhao and G. Wang, "Fldkamp-yp con-bam omography in h wavl framwork," IEEE Trans. Md. Imaging, //00 : PM

24 Sung Wook L and G Wang: Hlical Half-Scan Granga Y. Liu, H. Liu, Y. Wang, and G. Wang, "Half-scan con-bam CT fluoroscopy wih mulipl x-ray sourcs," Md. Phys. 8, F. Noo and D. J. Huschr, "Imag rconsrucion from con-bam daa on a circular shor-scan," Proc. SPIE 68, 0-. P. Granga, "Mahmaical framwork of con bam D rconsrucion via h firs drivaiv of h Radon ransform," in Mahmaical Mhods in Tomography, Lcur nos in Mahmaics, did by G. T. Hrman, A. K. Louis, and F. Narr Springr Vrlag, Brlin,, M. Dfris and R. Clack, "A Con-bam rconsrucion algorihm using shif-varian filring and con-bam backprojcion," IEEE. Trans. Md. Imaging, 86-. Y. Wng, G. L. Zng, and G. T. Gullbrg, "A rconsrucion algorihm for hlical con-bam SPECT," IEEE Trans Nucl Sci 0, H. Kudo, F. Noo, and M. Dfris, "Con-bam filrd-backprojcion algorihm for runcad hlical daa," Phys. Md. Biol., B. D. Smih, "Imag rconsrucion from con-bam projcions: Ncssary and sufficin condiions and rconsrucion mhods," IEEE Trans Md Imaging MI-, H. K. Tuy, "An invrsion formula for con-bam rconsrucion," SIAM J. Appl. Mah., 6-8. C. Jacobson, Ph.D. dissraion Thsis, Linkoping Univrsiy, 6. S. R. Dans, Th Radon ransform and som of is applicaions Wily-Inrscinc, Nw York, 8. F. Narr, Th Mahmaics of Compurizd Tomography Sociy for Indusrial and Applid Mahmaics, Philadlphia, 86. S. W. L, G. Cho, and G. Wang, "Arifacs associad wih implmnaion of h Granga formula," Md. Phys., //00 : PM

25 Sung Wook L and G Wang: Hlical Half-Scan Granga F. Noo, M. Dfris, R. Clackdoyl, and H. Kudo, "Imag rconsrucion from fan-bam projcions on lss han a shor scan," Phys. Md. Biol., //00 : PM

26 L and Wang: Half-scan Granga formula TABLE CAPTIONS Tabl. Paramrs of h phanoms usd in our numrical simulaion. a, b, c dno h smi-axs of llipsoids, x, y, z h cnr coordinas of ach llipsoid, and h sam as in Fig.. Th acual dnsiy a a posiion is drmind by summing h dnsiis of h llipsoids covring ha poin. FIGURE CAPTIONS Figur. Granga's con bam gomry. Th con bam projcion and h firs drivaiv of Radon ransform ar linkd. Figur. Mridian and dcor plans. a Rlaionship bwn mridian and dcor plans, b mridian plan, and c dcor plan. Figur. Hlical Half-scan gomry. Figur. Classificaion of h Radon spac. a Shadow rgion, b singly sampld rgion, c doubly sampld rgion, and d riply sampld rgion. Figur. Projcd rajcoris on mridian plans of 0, h 0, and i 0. a 0, b 0, c 0, d 0, 0, f 0, g Figur 6. Transiion poins for dsign of h wighing funcions on mridian plans. a Paramrs of h projcd rajcory on a mridian plan, b cas i, c cas ii, and d cas viii. Figur. a-d Rgion map and wighing funcions for mridian plan a 0, -h 0, and i-l 0. ai Rgion map: h brighs is for riply sampld zons and h darks shadow zon. bfj Th firs wighing disribuion, cgk h scond wighing disribuion, and dhl h hird wighing disribuion. Figur 8. Firs drivaiv Radon daa of h D Shpp-Logan phanom afr daa filling. a zro padding, b linar inrpolaion. Figur. Firs drivaiv Radon daa of h D Shpp-Logan phanom a 0 for a group, b group, and c group. df Wighing funcions for ach group and g combind daa. //00 : PM

27 Sung Wook L and G Wang: Hlical Half-Scan Granga Figur 0. Rconsrucd imags of h D Shpp-Logan phanom. a Hlical half-scan Fldkamp, b Granga-yp hlical half-scan rconsrucion wih zro-padding, b Granga-yp hlical half-scan rconsrucion wih linar inrpolaion. Th sam projcion rang has bn usd o rconsruc h imag volum in h sam im window. Firs row: vrical slic a y=0.; scond row: vrical slic a x=-0.06; and hird row: ransvrs slic a z=0.. Th conras rang is [.00,.0]. //00 : PM

28 Phanom a b c x y z θ ϕ Dnsiy Shpp-Logan Tabl.

29

30

31

32

33 z y a b c d f g h i Figur

34

35

36

37

38

On the Derivatives of Bessel and Modified Bessel Functions with Respect to the Order and the Argument

On the Derivatives of Bessel and Modified Bessel Functions with Respect to the Order and the Argument Inrnaional Rsarch Journal of Applid Basic Scincs 03 Aailabl onlin a wwwirjabscom ISSN 5-838X / Vol 4 (): 47-433 Scinc Eplorr Publicaions On h Driais of Bssl Modifid Bssl Funcions wih Rspc o h Ordr h Argumn

More information

Midterm exam 2, April 7, 2009 (solutions)

Midterm exam 2, April 7, 2009 (solutions) Univrsiy of Pnnsylvania Dparmn of Mahmaics Mah 26 Honors Calculus II Spring Smsr 29 Prof Grassi, TA Ashr Aul Midrm xam 2, April 7, 29 (soluions) 1 Wri a basis for h spac of pairs (u, v) of smooh funcions

More information

4.1 The Uniform Distribution Def n: A c.r.v. X has a continuous uniform distribution on [a, b] when its pdf is = 1 a x b

4.1 The Uniform Distribution Def n: A c.r.v. X has a continuous uniform distribution on [a, b] when its pdf is = 1 a x b 4. Th Uniform Disribuion Df n: A c.r.v. has a coninuous uniform disribuion on [a, b] whn is pdf is f x a x b b a Also, b + a b a µ E and V Ex4. Suppos, h lvl of unblivabiliy a any poin in a Transformrs

More information

Elementary Differential Equations and Boundary Value Problems

Elementary Differential Equations and Boundary Value Problems Elmnar Diffrnial Equaions and Boundar Valu Problms Boc. & DiPrima 9 h Ediion Chapr : Firs Ordr Diffrnial Equaions 00600 คณ ตศาสตร ว ศวกรรม สาขาว ชาว ศวกรรมคอมพ วเตอร ป การศ กษา /55 ผศ.ดร.อร ญญา ผศ.ดร.สมศ

More information

Spring 2006 Process Dynamics, Operations, and Control Lesson 2: Mathematics Review

Spring 2006 Process Dynamics, Operations, and Control Lesson 2: Mathematics Review Spring 6 Procss Dynamics, Opraions, and Conrol.45 Lsson : Mahmaics Rviw. conx and dircion Imagin a sysm ha varis in im; w migh plo is oupu vs. im. A plo migh imply an quaion, and h quaion is usually an

More information

An Indian Journal FULL PAPER. Trade Science Inc. A stage-structured model of a single-species with density-dependent and birth pulses ABSTRACT

An Indian Journal FULL PAPER. Trade Science Inc. A stage-structured model of a single-species with density-dependent and birth pulses ABSTRACT [Typ x] [Typ x] [Typ x] ISSN : 974-7435 Volum 1 Issu 24 BioTchnology 214 An Indian Journal FULL PAPE BTAIJ, 1(24), 214 [15197-1521] A sag-srucurd modl of a singl-spcis wih dnsiy-dpndn and birh pulss LI

More information

Let s look again at the first order linear differential equation we are attempting to solve, in its standard form:

Let s look again at the first order linear differential equation we are attempting to solve, in its standard form: Th Ingraing Facor Mhod In h prvious xampls of simpl firs ordr ODEs, w found h soluions by algbraically spara h dpndn variabl- and h indpndn variabl- rms, and wri h wo sids of a givn quaion as drivaivs,

More information

H is equal to the surface current J S

H is equal to the surface current J S Chapr 6 Rflcion and Transmission of Wavs 6.1 Boundary Condiions A h boundary of wo diffrn mdium, lcromagnic fild hav o saisfy physical condiion, which is drmind by Maxwll s quaion. This is h boundary condiion

More information

Boyce/DiPrima 9 th ed, Ch 2.1: Linear Equations; Method of Integrating Factors

Boyce/DiPrima 9 th ed, Ch 2.1: Linear Equations; Method of Integrating Factors Boc/DiPrima 9 h d, Ch.: Linar Equaions; Mhod of Ingraing Facors Elmnar Diffrnial Equaions and Boundar Valu Problms, 9 h diion, b William E. Boc and Richard C. DiPrima, 009 b John Wil & Sons, Inc. A linar

More information

CSE 245: Computer Aided Circuit Simulation and Verification

CSE 245: Computer Aided Circuit Simulation and Verification CSE 45: Compur Aidd Circui Simulaion and Vrificaion Fall 4, Sp 8 Lcur : Dynamic Linar Sysm Oulin Tim Domain Analysis Sa Equaions RLC Nwork Analysis by Taylor Expansion Impuls Rspons in im domain Frquncy

More information

A THREE COMPARTMENT MATHEMATICAL MODEL OF LIVER

A THREE COMPARTMENT MATHEMATICAL MODEL OF LIVER A THREE COPARTENT ATHEATICAL ODEL OF LIVER V. An N. Ch. Paabhi Ramacharyulu Faculy of ahmaics, R D collgs, Hanamonda, Warangal, India Dparmn of ahmaics, Naional Insiu of Tchnology, Warangal, India E-ail:

More information

Applied Statistics and Probability for Engineers, 6 th edition October 17, 2016

Applied Statistics and Probability for Engineers, 6 th edition October 17, 2016 Applid Saisics and robabiliy for Enginrs, 6 h diion Ocobr 7, 6 CHATER Scion - -. a d. 679.. b. d. 88 c d d d. 987 d. 98 f d.. Thn, = ln. =. g d.. Thn, = ln.9 =.. -7. a., by symmry. b.. d...6. 7.. c...

More information

UNSTEADY FLOW OF A FLUID PARTICLE SUSPENSION BETWEEN TWO PARALLEL PLATES SUDDENLY SET IN MOTION WITH SAME SPEED

UNSTEADY FLOW OF A FLUID PARTICLE SUSPENSION BETWEEN TWO PARALLEL PLATES SUDDENLY SET IN MOTION WITH SAME SPEED 006-0 Asian Rsarch Publishing work (ARP). All righs rsrvd. USTEADY FLOW OF A FLUID PARTICLE SUSPESIO BETWEE TWO PARALLEL PLATES SUDDELY SET I MOTIO WITH SAME SPEED M. suniha, B. Shankr and G. Shanha 3

More information

2.1. Differential Equations and Solutions #3, 4, 17, 20, 24, 35

2.1. Differential Equations and Solutions #3, 4, 17, 20, 24, 35 MATH 5 PS # Summr 00.. Diffrnial Equaions and Soluions PS.# Show ha ()C #, 4, 7, 0, 4, 5 ( / ) is a gnral soluion of h diffrnial quaion. Us a compur or calculaor o skch h soluions for h givn valus of h

More information

Lecture 1: Numerical Integration The Trapezoidal and Simpson s Rule

Lecture 1: Numerical Integration The Trapezoidal and Simpson s Rule Lcur : Numrical ngraion Th Trapzoidal and Simpson s Rul A problm Th probabiliy of a normally disribud (man µ and sandard dviaion σ ) vn occurring bwn h valus a and b is B A P( a x b) d () π whr a µ b -

More information

Boyce/DiPrima 9 th ed, Ch 7.8: Repeated Eigenvalues

Boyce/DiPrima 9 th ed, Ch 7.8: Repeated Eigenvalues Boy/DiPrima 9 h d Ch 7.8: Rpad Eignvalus Elmnary Diffrnial Equaions and Boundary Valu Problms 9 h diion by William E. Boy and Rihard C. DiPrima 9 by John Wily & Sons In. W onsidr again a homognous sysm

More information

Microscopic Flow Characteristics Time Headway - Distribution

Microscopic Flow Characteristics Time Headway - Distribution CE57: Traffic Flow Thory Spring 20 Wk 2 Modling Hadway Disribuion Microscopic Flow Characrisics Tim Hadway - Disribuion Tim Hadway Dfiniion Tim Hadway vrsus Gap Ahmd Abdl-Rahim Civil Enginring Dparmn,

More information

Lecture 2: Current in RC circuit D.K.Pandey

Lecture 2: Current in RC circuit D.K.Pandey Lcur 2: urrn in circui harging of apacior hrough Rsisr L us considr a capacior of capacianc is conncd o a D sourc of.m.f. E hrough a rsisr of rsisanc R and a ky K in sris. Whn h ky K is swichd on, h charging

More information

Wave Equation (2 Week)

Wave Equation (2 Week) Rfrnc Wav quaion ( Wk 6.5 Tim-armonic filds 7. Ovrviw 7. Plan Wavs in Losslss Mdia 7.3 Plan Wavs in Loss Mdia 7.5 Flow of lcromagnic Powr and h Poning Vcor 7.6 Normal Incidnc of Plan Wavs a Plan Boundaris

More information

General Article Application of differential equation in L-R and C-R circuit analysis by classical method. Abstract

General Article Application of differential equation in L-R and C-R circuit analysis by classical method. Abstract Applicaion of Diffrnial... Gnral Aricl Applicaion of diffrnial uaion in - and C- circui analysis by classical mhod. ajndra Prasad gmi curr, Dparmn of Mahmaics, P.N. Campus, Pokhara Email: rajndraprasadrgmi@yahoo.com

More information

The transition:transversion rate ratio vs. the T-ratio.

The transition:transversion rate ratio vs. the T-ratio. PhyloMah Lcur 8 by Dan Vandrpool March, 00 opics of Discussion ransiion:ransvrsion ra raio Kappa vs. ransiion:ransvrsion raio raio alculaing h xpcd numbr of subsiuions using marix algbra Why h nral im

More information

DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS. Assoc. Prof. Dr. Burak Kelleci. Spring 2018

DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS. Assoc. Prof. Dr. Burak Kelleci. Spring 2018 DEPARTMENT OF ELECTRICAL &ELECTRONICS ENGINEERING SIGNALS AND SYSTEMS Aoc. Prof. Dr. Burak Kllci Spring 08 OUTLINE Th Laplac Tranform Rgion of convrgnc for Laplac ranform Invr Laplac ranform Gomric valuaion

More information

5. An object moving along an x-coordinate axis with its scale measured in meters has a velocity of 6t

5. An object moving along an x-coordinate axis with its scale measured in meters has a velocity of 6t AP CALCULUS FINAL UNIT WORKSHEETS ACCELERATION, VELOCTIY AND POSITION In problms -, drmin h posiion funcion, (), from h givn informaion.. v (), () = 5. v ()5, () = b g. a (), v() =, () = -. a (), v() =

More information

The Optimal Timing of Transition to New Environmental Technology in Economic Growth

The Optimal Timing of Transition to New Environmental Technology in Economic Growth h Opimal iming of ransiion o Nw Environmnal chnology in Economic Growh h IAEE Europan Confrnc 7- Spmbr, 29 Vinna, Ausria Akira AEDA and akiko NAGAYA yoo Univrsiy Background: Growh and h Environmn Naural

More information

Institute of Actuaries of India

Institute of Actuaries of India Insiu of Acuaris of India ubjc CT3 Probabiliy and Mahmaical aisics Novmbr Examinaions INDICATIVE OLUTION Pag of IAI CT3 Novmbr ol. a sampl man = 35 sampl sandard dviaion = 36.6 b for = uppr bound = 35+*36.6

More information

A MATHEMATICAL MODEL FOR NATURAL COOLING OF A CUP OF TEA

A MATHEMATICAL MODEL FOR NATURAL COOLING OF A CUP OF TEA MTHEMTICL MODEL FOR NTURL COOLING OF CUP OF TE 1 Mrs.D.Kalpana, 2 Mr.S.Dhvarajan 1 Snior Lcurr, Dparmn of Chmisry, PSB Polychnic Collg, Chnnai, India. 2 ssisan Profssor, Dparmn of Mahmaics, Dr.M.G.R Educaional

More information

CPSC 211 Data Structures & Implementations (c) Texas A&M University [ 259] B-Trees

CPSC 211 Data Structures & Implementations (c) Texas A&M University [ 259] B-Trees CPSC 211 Daa Srucurs & Implmnaions (c) Txas A&M Univrsiy [ 259] B-Trs Th AVL r and rd-black r allowd som variaion in h lnghs of h diffrn roo-o-laf pahs. An alrnaiv ida is o mak sur ha all roo-o-laf pahs

More information

4.3 Design of Sections for Flexure (Part II)

4.3 Design of Sections for Flexure (Part II) Prsrssd Concr Srucurs Dr. Amlan K Sngupa and Prof. Dvdas Mnon 4. Dsign of Scions for Flxur (Par II) This scion covrs h following opics Final Dsign for Typ Mmrs Th sps for Typ 1 mmrs ar xplaind in Scion

More information

EXERCISE - 01 CHECK YOUR GRASP

EXERCISE - 01 CHECK YOUR GRASP DIFFERENTIAL EQUATION EXERCISE - CHECK YOUR GRASP 7. m hn D() m m, D () m m. hn givn D () m m D D D + m m m m m m + m m m m + ( m ) (m ) (m ) (m + ) m,, Hnc numbr of valus of mn will b. n ( ) + c sinc

More information

UNIT #5 EXPONENTIAL AND LOGARITHMIC FUNCTIONS

UNIT #5 EXPONENTIAL AND LOGARITHMIC FUNCTIONS Answr Ky Nam: Da: UNIT # EXPONENTIAL AND LOGARITHMIC FUNCTIONS Par I Qusions. Th prssion is quivaln o () () 6 6 6. Th ponnial funcion y 6 could rwrin as y () y y 6 () y y (). Th prssion a is quivaln o

More information

Voltage v(z) ~ E(z)D. We can actually get to this wave behavior by using circuit theory, w/o going into details of the EM fields!

Voltage v(z) ~ E(z)D. We can actually get to this wave behavior by using circuit theory, w/o going into details of the EM fields! Considr a pair of wirs idal wirs ngh >, say, infinily long olag along a cabl can vary! D olag v( E(D W can acually g o his wav bhavior by using circui hory, w/o going ino dails of h EM filds! Thr

More information

Chapter 3: Fourier Representation of Signals and LTI Systems. Chih-Wei Liu

Chapter 3: Fourier Representation of Signals and LTI Systems. Chih-Wei Liu Chapr 3: Fourir Rprsnaion of Signals and LTI Sysms Chih-Wi Liu Oulin Inroducion Complx Sinusoids and Frquncy Rspons Fourir Rprsnaions for Four Classs of Signals Discr-im Priodic Signals Fourir Sris Coninuous-im

More information

EE 434 Lecture 22. Bipolar Device Models

EE 434 Lecture 22. Bipolar Device Models EE 434 Lcur 22 Bipolar Dvic Modls Quiz 14 Th collcor currn of a BJT was masurd o b 20mA and h bas currn masurd o b 0.1mA. Wha is h fficincy of injcion of lcrons coming from h mir o h collcor? 1 And h numbr

More information

7.4 QUANTUM MECHANICAL TREATMENT OF FLUCTUATIONS *

7.4 QUANTUM MECHANICAL TREATMENT OF FLUCTUATIONS * Andri Tokmakoff, MIT Dparmn of Chmisry, 5/19/5 7-11 7.4 QUANTUM MECANICAL TREATMENT OF FLUCTUATIONS * Inroducion and Prviw Now h origin of frquncy flucuaions is inracions of our molcul (or mor approprialy

More information

Charging of capacitor through inductor and resistor

Charging of capacitor through inductor and resistor cur 4&: R circui harging of capacior hrough inducor and rsisor us considr a capacior of capacianc is conncd o a D sourc of.m.f. E hrough a rsisr of rsisanc R, an inducor of inducanc and a y K in sris.

More information

CHAPTER CHAPTER14. Expectations: The Basic Tools. Prepared by: Fernando Quijano and Yvonn Quijano

CHAPTER CHAPTER14. Expectations: The Basic Tools. Prepared by: Fernando Quijano and Yvonn Quijano Expcaions: Th Basic Prpard by: Frnando Quijano and Yvonn Quijano CHAPTER CHAPTER14 2006 Prnic Hall Businss Publishing Macroconomics, 4/ Olivir Blanchard 14-1 Today s Lcur Chapr 14:Expcaions: Th Basic Th

More information

Lagrangian for RLC circuits using analogy with the classical mechanics concepts

Lagrangian for RLC circuits using analogy with the classical mechanics concepts Lagrangian for RLC circuis using analogy wih h classical mchanics concps Albrus Hariwangsa Panuluh and Asan Damanik Dparmn of Physics Educaion, Sanaa Dharma Univrsiy Kampus III USD Paingan, Maguwoharjo,

More information

whereby we can express the phase by any one of the formulas cos ( 3 whereby we can express the phase by any one of the formulas

whereby we can express the phase by any one of the formulas cos ( 3 whereby we can express the phase by any one of the formulas Third In-Class Exam Soluions Mah 6, Profssor David Lvrmor Tusday, 5 April 07 [0] Th vrical displacmn of an unforcd mass on a spring is givn by h 5 3 cos 3 sin a [] Is his sysm undampd, undr dampd, criically

More information

Double Slits in Space and Time

Double Slits in Space and Time Doubl Slis in Sac an Tim Gorg Jons As has bn ror rcnly in h mia, a am l by Grhar Paulus has monsra an inrsing chniqu for ionizing argon aoms by using ulra-shor lasr ulss. Each lasr uls is ffcivly on an

More information

CHAPTER. Linear Systems of Differential Equations. 6.1 Theory of Linear DE Systems. ! Nullcline Sketching. Equilibrium (unstable) at (0, 0)

CHAPTER. Linear Systems of Differential Equations. 6.1 Theory of Linear DE Systems. ! Nullcline Sketching. Equilibrium (unstable) at (0, 0) CHATER 6 inar Sysms of Diffrnial Equaions 6 Thory of inar DE Sysms! ullclin Skching = y = y y υ -nullclin Equilibrium (unsabl) a (, ) h nullclin y = υ nullclin = h-nullclin (S figur) = + y y = y Equilibrium

More information

S.Y. B.Sc. (IT) : Sem. III. Applied Mathematics. Q.1 Attempt the following (any THREE) [15]

S.Y. B.Sc. (IT) : Sem. III. Applied Mathematics. Q.1 Attempt the following (any THREE) [15] S.Y. B.Sc. (IT) : Sm. III Applid Mahmaics Tim : ½ Hrs.] Prlim Qusion Papr Soluion [Marks : 75 Q. Amp h following (an THREE) 3 6 Q.(a) Rduc h mari o normal form and find is rank whr A 3 3 5 3 3 3 6 Ans.:

More information

A Condition for Stability in an SIR Age Structured Disease Model with Decreasing Survival Rate

A Condition for Stability in an SIR Age Structured Disease Model with Decreasing Survival Rate A Condiion for abiliy in an I Ag rucurd Disas Modl wih Dcrasing urvival a A.K. upriana, Edy owono Dparmn of Mahmaics, Univrsias Padjadjaran, km Bandung-umng 45363, Indonsia fax: 6--7794696, mail: asupria@yahoo.com.au;

More information

Chapter 12 Introduction To The Laplace Transform

Chapter 12 Introduction To The Laplace Transform Chapr Inroducion To Th aplac Tranorm Diniion o h aplac Tranorm - Th Sp & Impul uncion aplac Tranorm o pciic uncion 5 Opraional Tranorm Applying h aplac Tranorm 7 Invr Tranorm o Raional uncion 8 Pol and

More information

AR(1) Process. The first-order autoregressive process, AR(1) is. where e t is WN(0, σ 2 )

AR(1) Process. The first-order autoregressive process, AR(1) is. where e t is WN(0, σ 2 ) AR() Procss Th firs-ordr auorgrssiv procss, AR() is whr is WN(0, σ ) Condiional Man and Varianc of AR() Condiional man: Condiional varianc: ) ( ) ( Ω Ω E E ) var( ) ) ( var( ) var( σ Ω Ω Ω Ω E Auocovarianc

More information

Lecture 4: Laplace Transforms

Lecture 4: Laplace Transforms Lur 4: Lapla Transforms Lapla and rlad ransformaions an b usd o solv diffrnial quaion and o rdu priodi nois in signals and imags. Basially, hy onvr h drivaiv opraions ino mulipliaion, diffrnial quaions

More information

ERROR ANALYSIS A.J. Pintar and D. Caspary Department of Chemical Engineering Michigan Technological University Houghton, MI September, 2012

ERROR ANALYSIS A.J. Pintar and D. Caspary Department of Chemical Engineering Michigan Technological University Houghton, MI September, 2012 ERROR AALYSIS AJ Pinar and D Caspary Dparmn of Chmical Enginring Michigan Tchnological Univrsiy Houghon, MI 4993 Spmbr, 0 OVERVIEW Exprimnaion involvs h masurmn of raw daa in h laboraory or fild I is assumd

More information

3(8 ) (8 x x ) 3x x (8 )

3(8 ) (8 x x ) 3x x (8 ) Scion - CHATER -. a d.. b. d.86 c d 8 d d.9997 f g 6. d. d. Thn, = ln. =. =.. d Thn, = ln.9 =.7 8 -. a d.6 6 6 6 6 8 8 8 b 9 d 6 6 6 8 c d.8 6 6 6 6 8 8 7 7 d 6 d.6 6 6 6 6 6 6 8 u u u u du.9 6 6 6 6 6

More information

The Science of Monetary Policy

The Science of Monetary Policy Th Scinc of Monary Policy. Inroducion o Topics of Sminar. Rviw: IS-LM, AD-AS wih an applicaion o currn monary policy in Japan 3. Monary Policy Sragy: Inrs Ra Ruls and Inflaion Targing (Svnsson EER) 4.

More information

Modelling of three dimensional liquid steel flow in continuous casting process

Modelling of three dimensional liquid steel flow in continuous casting process AMME 2003 12h Modlling of hr dimnsional liquid sl flow in coninuous casing procss M. Jani, H. Dyja, G. Banasz, S. Brsi Insiu of Modlling and Auomaion of Plasic Woring Procsss, Faculy of Marial procssing

More information

1. Inverse Matrix 4[(3 7) (02)] 1[(0 7) (3 2)] Recall that the inverse of A is equal to:

1. Inverse Matrix 4[(3 7) (02)] 1[(0 7) (3 2)] Recall that the inverse of A is equal to: Rfrncs Brnank, B. and I. Mihov (1998). Masuring monary policy, Quarrly Journal of Economics CXIII, 315-34. Blanchard, O. R. Proi (00). An mpirical characrizaion of h dynamic ffcs of changs in govrnmn spnding

More information

On the Speed of Heat Wave. Mihály Makai

On the Speed of Heat Wave. Mihály Makai On h Spd of Ha Wa Mihály Maai maai@ra.bm.hu Conns Formulaion of h problm: infini spd? Local hrmal qulibrium (LTE hypohsis Balanc quaion Phnomnological balanc Spd of ha wa Applicaion in plasma ranspor 1.

More information

Impulsive Differential Equations. by using the Euler Method

Impulsive Differential Equations. by using the Euler Method Applid Mahmaical Scincs Vol. 4 1 no. 65 19 - Impulsiv Diffrnial Equaions by using h Eulr Mhod Nor Shamsidah B Amir Hamzah 1 Musafa bin Mama J. Kaviumar L Siaw Chong 4 and Noor ani B Ahmad 5 1 5 Dparmn

More information

Routing in Delay Tolerant Networks

Routing in Delay Tolerant Networks Rouing in Dlay Tolran Nworks Primary Rfrnc: S. Jain K. Fall and R. Para Rouing in a Dlay Tolran Nwork SIGCOMM 04 Aug. 30-Sp. 3 2004 Porland Orgon USA Sudn lcur by: Soshan Bali (748214) mail : sbali@ic.ku.du

More information

Nikesh Bajaj. Fourier Analysis and Synthesis Tool. Guess.? Question??? History. Fourier Series. Fourier. Nikesh Bajaj

Nikesh Bajaj. Fourier Analysis and Synthesis Tool. Guess.? Question??? History. Fourier Series. Fourier. Nikesh Bajaj Guss.? ourir Analysis an Synhsis Tool Qusion??? niksh.473@lpu.co.in Digial Signal Procssing School of Elcronics an Communicaion Lovly Profssional Univrsiy Wha o you man by Transform? Wha is /Transform?

More information

Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall.

Copyright 2012 Pearson Education, Inc. Publishing as Prentice Hall. Chapr Rviw 0 6. ( a a ln a. This will qual a if an onl if ln a, or a. + k an (ln + c. Thrfor, a an valu of, whr h wo curvs inrsc, h wo angn lins will b prpnicular. 6. (a Sinc h lin passs hrough h origin

More information

I) Title: Rational Expectations and Adaptive Learning. II) Contents: Introduction to Adaptive Learning

I) Title: Rational Expectations and Adaptive Learning. II) Contents: Introduction to Adaptive Learning I) Til: Raional Expcaions and Adapiv Larning II) Conns: Inroducion o Adapiv Larning III) Documnaion: - Basdvan, Olivir. (2003). Larning procss and raional xpcaions: an analysis using a small macroconomic

More information

Transfer function and the Laplace transformation

Transfer function and the Laplace transformation Lab No PH-35 Porland Sa Univriy A. La Roa Tranfr funcion and h Laplac ranformaion. INTRODUTION. THE LAPLAE TRANSFORMATION L 3. TRANSFER FUNTIONS 4. ELETRIAL SYSTEMS Analyi of h hr baic paiv lmn R, and

More information

fiziks Institute for NET/JRF, GATE, IIT JAM, JEST, TIFR and GRE in PHYSICAL SCIENCES MATEMATICAL PHYSICS SOLUTIONS are

fiziks Institute for NET/JRF, GATE, IIT JAM, JEST, TIFR and GRE in PHYSICAL SCIENCES MATEMATICAL PHYSICS SOLUTIONS are MTEMTICL PHYSICS SOLUTIONS GTE- Q. Considr an ani-symmric nsor P ij wih indics i and j running from o 5. Th numbr of indpndn componns of h nsor is 9 6 ns: Soluion: Th numbr of indpndn componns of h nsor

More information

On Ψ-Conditional Asymptotic Stability of First Order Non-Linear Matrix Lyapunov Systems

On Ψ-Conditional Asymptotic Stability of First Order Non-Linear Matrix Lyapunov Systems In. J. Nonlinar Anal. Appl. 4 (213) No. 1, 7-2 ISSN: 28-6822 (lcronic) hp://www.ijnaa.smnan.ac.ir On Ψ-Condiional Asympoic Sabiliy of Firs Ordr Non-Linar Marix Lyapunov Sysms G. Sursh Kumar a, B. V. Appa

More information

Discussion 06 Solutions

Discussion 06 Solutions STAT Discussion Soluions Spring 8. Th wigh of fish in La Paradis follows a normal disribuion wih man of 8. lbs and sandard dviaion of. lbs. a) Wha proporion of fish ar bwn 9 lbs and lbs? æ 9-8. - 8. P

More information

Arturo R. Samana* in collaboration with Carlos Bertulani*, & FranjoKrmpotic(UNLP-Argentina) *Department of Physics Texas A&M University -Commerce 07/

Arturo R. Samana* in collaboration with Carlos Bertulani*, & FranjoKrmpotic(UNLP-Argentina) *Department of Physics Texas A&M University -Commerce 07/ Comparison of RPA-lik modls in Nurino-Nuclus Nuclus Procsss Aruro R. Samana* in collaboraion wih Carlos Brulani* & FranjoKrmpoicUNLP-Argnina *Dparmn of Physics Txas A&M Univrsiy -Commrc 07/ 0/008 Aomic

More information

Phys463.nb Conductivity. Another equivalent definition of the Fermi velocity is

Phys463.nb Conductivity. Another equivalent definition of the Fermi velocity is 39 Anohr quival dfiniion of h Fri vlociy is pf vf (6.4) If h rgy is a quadraic funcion of k H k L, hs wo dfiniions ar idical. If is NOT a quadraic funcion of k (which could happ as will b discussd in h

More information

Section. Problem Representation. Substation. Protection Device. protection equipments. Substation. Client. EPDS divided in blocks connected by

Section. Problem Representation. Substation. Protection Device. protection equipments. Substation. Client. EPDS divided in blocks connected by HIERARCHICAL MULTIPLE CRITERIA OPTIMIZATION OF MAINTENANCE ACTIVITIES ON POWER DISTRIBUTION NETWORKS Problm Rprsaion EPDS comprising: Subsaions, primary nworks, scondary, nworks; Fdrs (cabls, lins, pols,

More information

symmetric/hermitian matrices, and similarity transformations

symmetric/hermitian matrices, and similarity transformations Linar lgbra for Wirlss Communicaions Lcur: 6 Diffrnial quaions, Grschgorin's s circl horm, symmric/hrmiian marics, and similariy ransformaions Ov Edfors Dparmn of Elcrical and Informaion Tchnology Lund

More information

SOLUTIONS. 1. Consider two continuous random variables X and Y with joint p.d.f. f ( x, y ) = = = 15. Stepanov Dalpiaz

SOLUTIONS. 1. Consider two continuous random variables X and Y with joint p.d.f. f ( x, y ) = = = 15. Stepanov Dalpiaz STAT UIUC Pracic Problms #7 SOLUTIONS Spanov Dalpiaz Th following ar a numbr of pracic problms ha ma b hlpful for compling h homwor, and will lil b vr usful for suding for ams.. Considr wo coninuous random

More information

Final Exam : Solutions

Final Exam : Solutions Comp : Algorihm and Daa Srucur Final Exam : Soluion. Rcuriv Algorihm. (a) To bgin ind h mdian o {x, x,... x n }. Sinc vry numbr xcp on in h inrval [0, n] appar xacly onc in h li, w hav ha h mdian mu b

More information

Asymptotic Solutions of Fifth Order Critically Damped Nonlinear Systems with Pair Wise Equal Eigenvalues and another is Distinct

Asymptotic Solutions of Fifth Order Critically Damped Nonlinear Systems with Pair Wise Equal Eigenvalues and another is Distinct Qus Journals Journal of Rsarch in Applid Mahmaics Volum ~ Issu (5 pp: -5 ISSN(Onlin : 94-74 ISSN (Prin:94-75 www.usjournals.org Rsarch Papr Asympoic Soluions of Fifh Ordr Criically Dampd Nonlinar Sysms

More information

Economics 302 (Sec. 001) Intermediate Macroeconomic Theory and Policy (Spring 2011) 3/28/2012. UW Madison

Economics 302 (Sec. 001) Intermediate Macroeconomic Theory and Policy (Spring 2011) 3/28/2012. UW Madison Economics 302 (Sc. 001) Inrmdia Macroconomic Thory and Policy (Spring 2011) 3/28/2012 Insrucor: Prof. Mnzi Chinn Insrucor: Prof. Mnzi Chinn UW Madison 16 1 Consumpion Th Vry Forsighd dconsumr A vry forsighd

More information

Transient Performance Analysis of Serial Production Lines

Transient Performance Analysis of Serial Production Lines Univrsiy of Wisconsin Milwauk UWM Digial Commons Thss and Dissraions Augus 25 Transin Prformanc Analysis of Srial Producion Lins Yang Sun Univrsiy of Wisconsin-Milwauk Follow his and addiional works a:

More information

FIRST-ORDER SYSTEMS OF ORDINARY DIFFERENTIAL EQUATIONS I: Introduction and Linear Systems

FIRST-ORDER SYSTEMS OF ORDINARY DIFFERENTIAL EQUATIONS I: Introduction and Linear Systems FIRST-ORDER SYSTEMS OF ORDINARY DIFFERENTIAL EQUATIONS I: Inroducion and Linar Sysms David Lvrmor Dparmn of Mahmaics Univrsiy of Maryland 9 Dcmbr 0 Bcaus h prsnaion of his marial in lcur will diffr from

More information

Effect of sampling on frequency domain analysis

Effect of sampling on frequency domain analysis LIGO-T666--R Ec sampling n rquncy dmain analysis David P. Nrwd W rviw h wll-knwn cs digial sampling n h rquncy dmain analysis an analg signal, wih mphasis n h cs upn ur masurmns. This discussin llws h

More information

A HAMILTON-JACOBI TREATMENT OF DISSIPATIVE SYSTEMS

A HAMILTON-JACOBI TREATMENT OF DISSIPATIVE SYSTEMS Europan Scinific Journal Ocobr 13 diion vol9, No3 ISSN: 1857 7881 (Prin) - ISSN 1857-7431 A AMILTON-JACOBI TREATMENT OF DISSIPATIVE SYSTEMS Ola A Jarab'ah Tafila Tchnical Univrsiy, Tafila, Jordan Khald

More information

Consider a system of 2 simultaneous first order linear equations

Consider a system of 2 simultaneous first order linear equations Soluon of sysms of frs ordr lnar quaons onsdr a sysm of smulanous frs ordr lnar quaons a b c d I has h alrna mar-vcor rprsnaon a b c d Or, n shorhand A, f A s alrady known from con W know ha h abov sysm

More information

ANSWERS TO EVEN NUMBERED EXERCISES IN CHAPTER 11

ANSWERS TO EVEN NUMBERED EXERCISES IN CHAPTER 11 8 Jun ANSWERS TO EVEN NUMBERED EXERCISES IN CHAPTER SECTION : INCENTIVE COMPATABILITY Exrcis - Educaional Signaling A yp consulan has a marginal produc of m( ) = whr Θ = {,, 3} Typs ar uniformly disribud

More information

Ma/CS 6a Class 15: Flows and Bipartite Graphs

Ma/CS 6a Class 15: Flows and Bipartite Graphs //206 Ma/CS 6a Cla : Flow and Bipari Graph By Adam Shffr Rmindr: Flow Nwork A flow nwork i a digraph G = V, E, oghr wih a ourc vrx V, a ink vrx V, and a capaciy funcion c: E N. Capaciy Sourc 7 a b c d

More information

AN INTRODUCTION TO FOURIER ANALYSIS PROF. VEDAT TAVSANOĞLU

AN INTRODUCTION TO FOURIER ANALYSIS PROF. VEDAT TAVSANOĞLU A IRODUCIO O FOURIER AALYSIS PROF. VEDA AVSAOĞLU 994 A IRODUCIO O FOURIER AALYSIS ABLE OF COES. HE FOURIER SERIES ---------------------------------------------------------------------3.. Priodic Funcions-----------------------------------------------------------------------3..

More information

Lecture 1: Growth and decay of current in RL circuit. Growth of current in LR Circuit. D.K.Pandey

Lecture 1: Growth and decay of current in RL circuit. Growth of current in LR Circuit. D.K.Pandey cur : Growh and dcay of currn in circui Growh of currn in Circui us considr an inducor of slf inducanc is conncd o a DC sourc of.m.f. E hrough a rsisr of rsisanc and a ky K in sris. Whn h ky K is swichd

More information

Smoking Tobacco Experiencing with Induced Death

Smoking Tobacco Experiencing with Induced Death Europan Journal of Biological Scincs 9 (1): 52-57, 2017 ISSN 2079-2085 IDOSI Publicaions, 2017 DOI: 10.5829/idosi.jbs.2017.52.57 Smoking Tobacco Exprincing wih Inducd Dah Gachw Abiy Salilw Dparmn of Mahmaics,

More information

Poisson process Markov process

Poisson process Markov process E2200 Quuing hory and lraffic 2nd lcur oion proc Markov proc Vikoria Fodor KTH Laboraory for Communicaion nwork, School of Elcrical Enginring 1 Cour oulin Sochaic proc bhind quuing hory L2-L3 oion proc

More information

A Simple Procedure to Calculate the Control Limit of Z Chart

A Simple Procedure to Calculate the Control Limit of Z Chart Inrnaional Journal of Saisics and Applicaions 214, 4(6): 276-282 DOI: 1.5923/j.saisics.21446.4 A Simpl Procdur o Calcula h Conrol Limi of Z Char R. C. Loni 1, N. A. S. Sampaio 2, J. W. J. Silva 2,3,*,

More information

Logistic equation of Human population growth (generalization to the case of reactive environment).

Logistic equation of Human population growth (generalization to the case of reactive environment). Logisic quaion of Human populaion growh gnralizaion o h cas of raciv nvironmn. Srg V. Ershkov Insiu for Tim aur Exploraions M.V. Lomonosov's Moscow Sa Univrsi Lninski gor - Moscow 999 ussia -mail: srgj-rshkov@andx.ru

More information

Revisiting what you have learned in Advanced Mathematical Analysis

Revisiting what you have learned in Advanced Mathematical Analysis Fourir sris Rvisiing wh you hv lrnd in Advncd Mhmicl Anlysis L f x b priodic funcion of priod nd is ingrbl ovr priod. f x cn b rprsnd by rigonomric sris, f x n cos nx bn sin nx n cos x b sin x cosx b whr

More information

Modeling and Experimental Investigation on the Internal Leakage in a CO2 Rotary Vane Expander

Modeling and Experimental Investigation on the Internal Leakage in a CO2 Rotary Vane Expander urdu Univrsiy urdu -ubs Inrnaional Comprssor Enginring Confrnc School of chanical Enginring 2008 odling and Exprimnal Invsigaion on h Inrnal Lakag in a CO2 Roary Van Expandr Bingchun Yang Xi an Jiaoong

More information

Midterm Examination (100 pts)

Midterm Examination (100 pts) Econ 509 Spring 2012 S.L. Parn Midrm Examinaion (100 ps) Par I. 30 poins 1. Dfin h Law of Diminishing Rurns (5 ps.) Incrasing on inpu, call i inpu x, holding all ohr inpus fixd, on vnuall runs ino h siuaion

More information

Azimuthal angular correlations between heavy flavour decay electrons and charged hadrons in pp collisions at s = 2.76 TeV in ALICE

Azimuthal angular correlations between heavy flavour decay electrons and charged hadrons in pp collisions at s = 2.76 TeV in ALICE Azimuhal angular corrlaions bwn havy flavour dcay lcrons and chargd hadrons in pp collisions a s = 2.76 TV in ALICE DEEPA THOMAS FOR THE ALICE COLLABORATION INTERNATIONAL SCHOOL OF SUBNUCLEAR PHYSICS ERICE,

More information

10. If p and q are the lengths of the perpendiculars from the origin on the tangent and the normal to the curve

10. If p and q are the lengths of the perpendiculars from the origin on the tangent and the normal to the curve 0. If p and q ar h lnghs of h prpndiculars from h origin on h angn and h normal o h curv + Mahmaics y = a, hn 4p + q = a a (C) a (D) 5a 6. Wha is h diffrnial quaion of h family of circls having hir cnrs

More information

Mundell-Fleming I: Setup

Mundell-Fleming I: Setup Mundll-Flming I: Sup In ISLM, w had: E ( ) T I( i π G T C Y ) To his, w now add n xpors, which is a funcion of h xchang ra: ε E P* P ( T ) I( i π ) G T NX ( ) C Y Whr NX is assumd (Marshall Lrnr condiion)

More information

Circuits and Systems I

Circuits and Systems I Circuis and Sysms I LECTURE #3 Th Spcrum, Priodic Signals, and h Tim-Varying Spcrum lions@pfl Prof. Dr. Volan Cvhr LIONS/Laboraory for Informaion and Infrnc Sysms Licns Info for SPFirs Slids This wor rlasd

More information

Reliability Analysis of a Bridge and Parallel Series Networks with Critical and Non- Critical Human Errors: A Block Diagram Approach.

Reliability Analysis of a Bridge and Parallel Series Networks with Critical and Non- Critical Human Errors: A Block Diagram Approach. Inrnaional Journal of Compuaional Sin and Mahmais. ISSN 97-3189 Volum 3, Numr 3 11, pp. 351-3 Inrnaional Rsarh Puliaion Hous hp://www.irphous.om Rliailiy Analysis of a Bridg and Paralll Sris Nworks wih

More information

Economics 302 (Sec. 001) Intermediate Macroeconomic Theory and Policy (Spring 2011) 4/25/2011. UW Madison

Economics 302 (Sec. 001) Intermediate Macroeconomic Theory and Policy (Spring 2011) 4/25/2011. UW Madison conomics 302 (Sc. 001) Inrmdia Macroconomic Thory and Policy (Spring 2011) 4/25/2011 Insrucor: Prof. Mnzi Chinn Insrucor: Prof. Mnzi Chinn UW Madison 21 1 Th Mdium Run ε = P * P Thr ar wo ways in which

More information

Chapter 5 The Laplace Transform. x(t) input y(t) output Dynamic System

Chapter 5 The Laplace Transform. x(t) input y(t) output Dynamic System EE 422G No: Chapr 5 Inrucor: Chung Chapr 5 Th Laplac Tranform 5- Inroducion () Sym analyi inpu oupu Dynamic Sym Linar Dynamic ym: A procor which proc h inpu ignal o produc h oupu dy ( n) ( n dy ( n) +

More information

Effects of ion motion on linear Landau damping

Effects of ion motion on linear Landau damping Effcs of ion moion on linar Landau damping Hui Xu 1**, Zhng-Ming Shng 2,3,4, Xiang-Mu Kong 1, Fu-Fang Su 1 1 Shandong Provincial Ky Laboraory of Lasr Polarizaion and Informaion Tchnology, Dparmn of Physics,

More information

B) 25y e. 5. Find the second partial f. 6. Find the second partials (including the mixed partials) of

B) 25y e. 5. Find the second partial f. 6. Find the second partials (including the mixed partials) of Sampl Final 00 1. Suppos z = (, y), ( a, b ) = 0, y ( a, b ) = 0, ( a, b ) = 1, ( a, b ) = 1, and y ( a, b ) =. Thn (a, b) is h s is inconclusiv a saddl poin a rlaiv minimum a rlaiv maimum. * (Classiy

More information

14.02 Principles of Macroeconomics Problem Set 5 Fall 2005

14.02 Principles of Macroeconomics Problem Set 5 Fall 2005 40 Principls of Macroconomics Problm S 5 Fall 005 Posd: Wdnsday, Novmbr 6, 005 Du: Wdnsday, Novmbr 3, 005 Plas wri your nam AND your TA s nam on your problm s Thanks! Exrcis I Tru/Fals? Explain Dpnding

More information

WEIBULL FUZZY PROBABILITY DISTRIBUTION FOR RELIABILITY OF CONCRETE STRUCTURES

WEIBULL FUZZY PROBABILITY DISTRIBUTION FOR RELIABILITY OF CONCRETE STRUCTURES Enginring MECHANICS, Vol. 17, 2010, No. 5/6, p. 363 372 363 WEIBULL FUZZY PROBABILITY DISTRIBUTION FOR RELIABILITY OF CONCRETE STRUCTURES Zdněk Karpíšk*, Pr Šěpánk**, Pr Jurák* Basd on h fuzzy probabiliy

More information

Integrity Control in Nested Certificates

Integrity Control in Nested Certificates Ingriy onrol in Nsd s $OEHUW/HYLDQG08IXNdD OD\DQ %R D]LoL8QLYHUVLW\'HSDUWPHQWRI&RPSXWHU(QJLQHHULQJ Bbk, Isanbul 80815, Turky lvi@boun.du.r caglayan@boun.du.r Absrac Nsd crificas [3,4] ar proposd as crificas

More information

Ratio-Product Type Exponential Estimator For Estimating Finite Population Mean Using Information On Auxiliary Attribute

Ratio-Product Type Exponential Estimator For Estimating Finite Population Mean Using Information On Auxiliary Attribute Raio-Produc T Exonnial Esimaor For Esimaing Fini Poulaion Man Using Informaion On Auxiliar Aribu Rajsh Singh, Pankaj hauhan, and Nirmala Sawan, School of Saisics, DAVV, Indor (M.P., India (rsinghsa@ahoo.com

More information

Physics 160 Lecture 3. R. Johnson April 6, 2015

Physics 160 Lecture 3. R. Johnson April 6, 2015 Physics 6 Lcur 3 R. Johnson April 6, 5 RC Circui (Low-Pass Filr This is h sam RC circui w lookd a arlir h im doma, bu hr w ar rsd h frquncy rspons. So w pu a s wav sad of a sp funcion. whr R C RC Complx

More information

Nonlocal Symmetries and Exact Solutions for PIB Equation

Nonlocal Symmetries and Exact Solutions for PIB Equation Commun. Thor. Phys. 58 01 331 337 Vol. 58 No. 3 Spmbr 15 01 Nonlocal Symmris and Exac Soluions for PIB Equaion XIN Xiang-Png 1 MIAO Qian 1 and CHEN Yong í 1 1 Shanghai Ky Laboraory of Trusworhy Compuing

More information

C From Faraday's Law, the induced voltage is, C The effect of electromagnetic induction in the coil itself is called selfinduction.

C From Faraday's Law, the induced voltage is, C The effect of electromagnetic induction in the coil itself is called selfinduction. Inducors and Inducanc C For inducors, v() is proporional o h ra of chang of i(). Inducanc (con d) C Th proporionaliy consan is h inducanc, L, wih unis of Hnris. 1 Hnry = 1 Wb / A or 1 V sc / A. C L dpnds

More information