Design Formulas for Broadband Concentric Circular-Loops Antennas
|
|
- Eric Copeland
- 6 years ago
- Views:
Transcription
1 ADVACED ELECTROMAGETICS, VOL 4, O, JUE 25 Dsg Fomulas Boadad Coctc Ccula-Loops Atas Sam M Al Hamd * ad Ashaf A Osma 2 l Vall Uvst, Suda 2 Folsom CA, USA * cospodg autho: alhamd66@hotmalcom Astact Ths pap psts a smpl mulas dsgg oadad coctc ccula-loops atas (CCLAs) Th loop dmsos wdst adwdth a dvd ad xpssd tms of dv loop soac fquc Th aalss addsss CCLAs wth ad wthout goud plas saosth dvd mulas a usd to dsg multpl CCLAs Fo xampl, a 3-lmts CCLA of a maxmum adus of 634 cm ca dsgd to opat wth a voltag stadg wav ato (VSWR) < 2 ov th fquc ad wth factoal adwdth of 69% wth a mmum dctvt of 39 db Addoatoall, a 4-lmts CCLA of maxmum adus of 5 cm ca dsg to opat th fquc ad xtdg m 825 MHz to 99 MHz (factoal adwdth of 83%) wth a VSWR < 2 ad dctvt hgh tha 52 db ov th t ad Futhmo, th aalss shows that a 3-lmts CCLA ackd wth a coductg goud pla mpovs th factoal adwdth to 96% ad dctvt to 95 db ov th ad of tst Th aaltcal sults o dsgd atas a valdatd wth smulato sults otad usg th A-SOF ata smulato softwa A xcllt agmt s osvd tw aaltcal ad A-SOF smulatos sults Idx Tms: Aas, oadad atas, goud pla, loop atas Itoducto Th ccula loop ata has attactd xtsv sach du to ts staghtwad aalss xpaso of th cut as a Fou ss, as wll as ts smpl gomt [- 5] It s kow that th maxmum dctvt of a sgl solatd ccula loop ata s aout 45 db ad has a aow mpdac adwdth wth a flcto coffct gat tha -6dB wh th loop s fd a 5 Ω l Th dctvt ad/o voltag stadg wav ato chaactstcs of a loop ata ca mpovd usg a mult-tu loop sstm o ackg th loop wth a flctotp coductg ods Yag-Uda aa of ccula loops ca dsgd hgh dctvt tha that of a sgl loop dpdg o aa lmts um ad lmts spacg [] Such a aa of two lmts ca optmzd to gv a dctvt of 8 db [2] Rsach has show that wh ccula loop ata s ackd wth plaa flctos, th dctvt ca ach db [6,7] B S Hoo t al [8] hav show that wh stg coctc g(s) wth loop lmt, th th loop ata mpdac adwdth ca mpovd R L L t al [9] hav aalzd a dsct squa mult-loop ata sstm of lmts wh t was show that a VSWR < 2 adwdth of 6% s otad wh = 7 O th oth had, H akao t al [] dmostatd that th adwdth of ccula polazato ca sgfcatl casd wh a paastc loop s std sd a loop ata S Hamd t al [, 2] hav show that th psc of a coductg od of voluto tp flctos a a loop ata ca mpov oth ata dctvt ad VSWR Ev though xtsv sach s coductd o loop ata aas ad sstms as Yag-Uda ad log podc aas, sldom pulshd wok o coctc loop aa cofguato ca ud O 958, Schll t al [3] potd o a coctc aa of th-w loops wth th ccumfcs g multpl tgs of th wavlgth Each loop s gzd popl though fd pas appld o ach loop wh th ata was usd adato patt sthss pupos Th ado fquc dtfcato (RFID) sstms th UHF ads (84 MHz 96 MHz) hav ud a cosdal attto ctl ma sachs th vaous applcatos [4-2] Th RFID sstm cossts of a tag, ad ata, ad a pocssg ut Th dsd chaactstc of th ad ata whch plas a sgfcat ol th RFID sstm pmaca [2]: compact sz, dctoal wth hgh ga, ccula polazato, good mpdac match, as to tgat, ad low cost Futhmo, t s qud that ths chaactstcs to stal wth a wd ag of fqucs Th loop ata cofguato dmostats all of th amtod chaactstcs ad hc t ca pojctd as good caddat of a RFID ad ata Ma sachs hav potd o usg loop atas RFID sstm dsg as ad ata a-fld ad fa-fld applcatos [5-8] Th aov ltatu dcat that a pop loop ata dsg wth mult-loops sstm wth o wthout a coductg ods ca gatl hac ata adwdth ad dctvt Th ojctv of ths pap s to pst smpl mulas that ca usd to dsg a oadad CCLA Two scaos a cosdd th dscusso: ) A CCLA wthout a goud pla ad 2) A CCLA ackd wth a goud pla Gal dsg paamts oth cass a xpssd tms of a ata soac fquc Th ata chaactstcs a aalzd thotcall usg th wllkow ccula loop atas tho ad coaxal aa of ccula loop atas aalss pstd [2] Th poposd mthodolog s mplod to dsg vaous multlmt ata ad dv th chaactstcs Aaltcal sults show attactv dsgs that a sutal oadad fquc ag ad adquat uvsal UHF RFID applcatos To futh valdat th poposd tchqu, th A-SOF ata smulato s mplod to
2 poduc ata dsg chaactstcs umcall A xcllt agmt tw aaltcal ad umcal smulatos s osvd Th ata gomt ad thotcal dvlopmt a dscussd scto 2 Th dsg tchqu s pstd scto 3, ad umcal sults a dscussd scto 4 A f cocluso s povdd scto 5 2 Thotcal Dvlopmt Th gomt of th polm s show Fg Th adus of loop ( =, 2,, ) s ad ach loop s mad of a pfctl coductg th w of adus a Loop s xctd a dlta voltag souc at φ = A xp(jωt) tm covto s assumd thoughout ths pap ad s suppssd covc 2 Th Cut Dstuto ad Iput Impdac Th cut o ach loop ca xpadd Fou ss as [ - 4] = = jφ ( φ ) = I = I I cos I φ Ecg th ouda codtos o th sufac of ach loop, a sstm of la quatos a otad as Z I = V (2) Loop # # # I(φ ) I(φ ) I(φ ) V δ(φ ) x Fgu : Gomt of th polm Wh V s th xctato matx wth lmts V I s th cut coffct matx to dtmd ad ts lmts a I Z s th galzd mpdac matx Sc th loops a ccula ad coaxal, th lmts of Z ca otad usg th sam aalss as [2] ad [7] wth th lmts hghts aov x- pla a d =, ad j, wh (j =, 2,, ) Solvg (2) cut coffcts th I = z j = j V j R = (, θ, φ) =, 2, 3,, () (3) j a th lmts of th matx Y, wh ( Z ) Y (4) = Th mpdac at th put tmals of ach loop ca otad m () ad (3) as Z = I V ( φ = ) = j V j j= = 22 Th Fa-Flds ad Dctvt Th Fa-fld xpssos CCLA ca otad m that of a aa of ccula loops documtd [2] susttutg axal lmts spacg d =, th E + η cosθ θ j I s 2 β φ = = E φ η 2 + η 2 V [ J ( u ) + J ( u )] β I = + = = ( u ) + [ J ( u ) J ( u )] + J j j β I cos φ Wh β s th wav um ad u = β sθ Assum P s th put pow ad o losss, th th dctvt s 2 2 ( Eθ + Eφ ) ηp (5) (7) 2 D = (8) 3 Th Dsg Fomulas Ou goal s to pst smpl mulas that ca usd to dsg CCLA atas wth a wdst possl fquc ad VSWR< 2 Th ata s assumd to dv though o of th loops whl oths a paastc lmts, sc w a skg a smpl stuctu If th dv lmt s loop, th V = V ad V j = all j Th loops a of th ws of thckss paamts Ω = l( / a ) Ud ths codtos, (3) ad (5) spctvl, duc to ad I = V (9) j 2 = + j j Z () = Th VSWR asd o a 5 Ω l ca otad m + VSWR = ( Z 5) ( Z + 5) ( 5) ( + 5) Z Z () (6) 46
3 Th ata adwdth VSWR< 2 ca computd usg (4), () ad () 3 Th CCLA Th dsg stps th oadad CCLA ca summazd as llows: ) Th dsg stats wth a sgl soat ccula loop ata (A#) of adus Ths ata s dv 5 Ω l at th soac fquc f o Th thckss paamt th loop s Ω = ad at th soac fquc, s otad as 4) A 4-lmts CCLA (A#4) s otad addg a thd paastc loop wth adus > + to A#3 Smlal as aov, th adwdth VSWR< 2 s computd usg (9) - () A#4 as a fucto of 2 th ag > + kpg +, ad at th pvous valus wth Ω = all lmts I ths cas, th valu that gvs st adwdth A#4 s = 2 83 as cla m Fg 4 ad ca wtt as = 283c (5) + = (2) c Wh c s th spd of lght f spac 2) A paastc loop wth adus < s addd to A# to ota a 2-lmts CCLA (A#2) To dtm th valu of maxmum possl adwdth, th adwdth VSWR < 2 s computd A#2 usg (9) - () as a fucto of th ag < takg Ω = oth lmts Th vaato of adwdth agast s dsplad Fg 2 Th adus maxmum adwdth ca ud m Fg 2 as = 774 I tms of f o = 774c (3) Fgu 3: Vaato of th adwdth of a 3-lmt CCLA wth + Fgu 4: Vaato of th adwdth of a 4-lmt CCLA wth +2 Fgu 2: Vaato of th adwdth of a 2-lmt CCLA wth - 3) A scod paastc loop wth adus + > s addd to th A#2 to ota a 3-lmts CCLA (A#3) Th adwdth VSWR< 2 s -computd usg (9) - () A#3 as a fucto of + th ag + > wth Ω = all th lmts ad kpg ad at th pvous valus Th vaato of adwdth agast + s dsplad Fg 3 I ths cas, th valu + that gvs st adwdth A#3 s + = 96 as ca s m Fg 3, th + = 96c (4) 5) Mo lmts ca addd wth ad lss tha o gat tha a smla ma as 2) to 4) Howv, th st adwdth usg ths tchqu s dtmd mal th fst u lmts of ad,, +, Addtoal lmts ma usd to mpov th VSWR aoud ct fquc o cas th dctvt Th out lmt gvs adwdth > 6% th ag 9 < < 4 as show Fg4 Lag cass th sz ad dctvt of th ata So, ca adjustd accodg to th sz, dctvt, ad adwdth qumts Addg mo lmts ma mpov th dctvt wth th qud adwdth Howv, ths wll cas th sz of th ata 6) Th ct fquc of th ata ca skwd to th ght o lft scalg th dmsos of th ata to th qud fquc Th pocdu dscd th aov stps ) to 6) dcats that wh a lmt s addd ach stp, (9) () a usd to -calculat th cut dstuto, put mpdac, 47
4 VSWR ad adwdth Ths s cssa caus ths paamts dpds o th um of lmts ad th dmsos Vaous CCLAs a dsgd st adwdths usg th dsg pocdu lstd ) to 6) stps Th optmal adwdth atas wth dmsos latv to th dv lmt a summazd Tal Th adwdth = 4, 5, ad 6 lmts a al th sam as show Tal, whch dcats that th s o sgfcat mpovmt th VSWR wh xcds 4 lmts Th computd VSWR th fst fv atas Tal a plottd Fg 5 as a fucto of latv fquc f/f o Th VSWR a sgl loop s also supmposd to compa wth mult-lmt ata havo Th VSWR = 2 l s addd to Fg 5 to dcat dsd opatg ads Tal : Szs of dfft CCLA st adwdths Rad of th lmts latv to that of th BW dv lmt (/ ) wh = c /f o ad (%) Ω = -2 / - / / + / +2 / +3 / dlctc costat of ths dlctc s ε at mcowav fqucs Wh th sd of th goud pla W satsfs oth of th codtos: W > 5 ad W > 5d, wh s th adus of th out loop, t ca cosdd appoxmatl ft wth spct to th loops [7] I ths cas th mag tho ca appld ad th sstm of la quatos gov th cut coffcts (2) a Z Z ss ms Z Z sm mm I I s m + V = V (6) wh s th loops ad m mags of th loops Sc ss mm ms ms m s Z = Z, Z = Z ad I = I, th (6) ducs to ss sm s ( Z Z ) I = V (7) ss sm Th lmts of Z ad Z ca otad usg th sam pocdu llowd Z (2) wth d = d th loops ad d = d th mags Oc I s s dtmd m (7), th chaactstcs of th CCLA ackd wth a goud pla ca otad Th fa-flds compots ths cas ca otad supmposg flds m th loops ad th mags Fgu 5: Compaso of VSWR st adwdth of dfft CCLAs wth that of a sgl loop Th thckss paamt ach loop s Ω = 32 Th CCLA Backd wth a Goud Pla Wh th CCLA s ackd wth a pfctl coductg goud pla as show Fg 6, th goud pla wll affct th cut dstuto ad th ata chaactstcs W assum that th goud pla s a squa shap of sd W ad th spacg tw t ad th CCLA s d A spac of a hocom dlctc ca std tw th goud pla ad CCLA to suppot th stuctu of th ata Th Fgu 6: Gomt of th CCLA ackd wth a coductg goud pla Th fa-flds compots m th loops ad th mags 48
5 ca otad a smla ma as (6)ad (7), th CCLA aov th goud pla th fa-flds compots a H θ j s j s ( β d cosθ ) β I J ( u ) ( β d cosθ ) H φ j β I [ J ( u ) J ( u )] cos φ + jcosθ s = + = = ( β d cosθ ) [ J ( u ) + J ( u )] sφ (8) j β I (9) = = + + wh u = β sθ Th dctvt ad VSWR of th CCLA ackd wth a goud pla ca otad m (8) ad () usg (6) (9) spctvl Th aalss shows that a 3-lmts CCLA ackd wth a goud pla as show Fg 6 ca gv a oadad chaactstcs wth hgh dctvt I ths cas, th ad a 2, ad ad d s th ata hght aov th goud pla Takg as a dv lmt, th ad th st adwdth a: CCLAs a dscussd 4 CCLA Boadad UHF Applcatos Th CCLA ca dsgd fa-fld RFID applcatos as a ad ata Rfg to Fg 5, th 4-lmts CCLA gvs a factoal adwdth of 83% wth th ag 96 < f/f o <, whl 3-lmt CCLA gvs a factoal adwdth of 69% Ths atas ca dsgd to cov all th fquc ads UHF RFID applcatos, whch a xtdd m 84 MHz to 96 MHz B choosg f o = 9 MHz, th fquc ad satsfs VSWR < 2 4-lmts ata s 825 MHz < f < 99 MHz Th adus of th dv lmt at 9 MHz m (2) s = 53 cm ad th oth lmts ca computd usg (3) - (5) Th ad th dfft CCLAs th st adwdth (BW) a summazd Tal 2 wth th mmum dctvt D m ach ad Tal 2: Dfft CCLAs th UHF RFID ads D m (db) BW (MHz) Rad of th lmts cm(thckss paamt all lmts sω = ) = c, = 832, 2 = 678 d = 38 (2) Th VSWR th CCLA of dmsos gv (2) s show Fg 7 as a fucto of omalzd fquc f/f o dfft thckss paamts Th thckss paamts of th loops hav a sgfcat ffct o th VSWR ad adwdth of th CCLA as ca s m Fg 7 Small chags th thckss paamt ma sults a sgfcat adwdth vaato Fgu 8: VSWR ad dctvt of oadad CCLAs Fgu 7: VSWR 3-lmt CCLAs ackd wth a goud pla Th hght aov th pla s d = umcal Rsults Ths scto psts sults wth dscusso CCLAs th UHF ad mcowav fquc ads usg th mulato otad th pvous sctos Both th adwdth ad th adato chaactstcs dfft Th VSWR ad dctvt 2-, 3- ad 4-lmts CCLA a computd ad dsplad Fg 8 as a fucto of fquc Th sults th 3-lmts cas usg A-SOF softwa s also otad ad dsplad Fg 8 to chck th aaltcal sults Both th aaltcal sults ad that m A-SOF a xcllt agmt Futhmo, Fg 8 shows that th adwdth of th 3- ad 4-lmts atas covs th whol UHF RFID fquc ad (84-96) MHz 49
6 ad th mmum dctvts ths ad th 3-lmts ad 4-lmts atas a aout 39 db ad 52 db spctvl Th dctvt 4-lmts CCLA ca casd ov 6 db adjustg th sz of th out lmt I fact, th adus of th out lmt has a wd ag of chocs asd o th qud dctvt, ata sz, ad adwdth as show Fg 9 Moov, Fg 9 shows that, th dctvt s al stal th ad (84-96) MHz valus of xtdg m 7 cm to 22 cm Fo th ag 26 cm < < 3 cm, th dctvt at 96 MHz dcass to lss tha 3 db whl t s aov 38 db at 84 MHz Fgu 9: Th ffct of +2 o th dctvt ad adwdth of 4-lmts CCLA Fgs ad spctvl Th gal shap of th patt oth atas s smla to that of th soat sgl loop ata Howv, th am-wdth of th 3- lmts ata s wd tha that of 4-lmts Th halfpow am-wdth (HPBW) ad th maxmum dctvt (D) th wad dcto oth atas ad th dmsos a show Tal 3 Tal 3: Radato patts of 3- ad 4-lmts CCLA at 9 MHz HPBW Rad of th lmts D (db) plas (cm) φ = φ = CCLA Backd wth Goud Pla at Mcowav Fqucs Th paamts ad dmsos dsgg a 3-lmts CCLA ackd wth a ft coductg goud pla a dtmd scto 32 Rfg to Fg 7, ths ata gvs a factoal adwdth of 96% wth th ag 926 < f/f o < 22 B choosg f o = 245 GHz, th fquc ag MHz VSWR < 2 ca otad as 227 GHz < f <275 GHz Fom (2), th adus of th dv lmt at 245 GHz s =95 mm ad th oth lmts a: - =6 mm, -2 =32 mm ad d = 22 mm Th dctvt, VSWR ad th adato patt of th ata a dsplad Fgs 2 ad 3 spctvl Th sults th VSWR usg A-SOF softwa a also otad ad dsplad Fg 2 to chck th aaltcal sults Th aaltcal sults ad that m A-SOF a xcllt agmt Fgu : Radato patts of th 3-lmts CCLA at 9 MHz Fgu 2: Dctvt ad VSWR th 3-lmts CCLA ackd wth goud pla wth -2 = 32 mm, - = 6 mm, = 95 mm, d = 22 mm, ad Ω = 98 Fgu : Radato patts of th 4-lmts CCLA at 9 MHz Th adato patts at 9 MHz 3-lmts ad 4- lmts CCLA of dmso gv Tal 2 a dsplad Th CCLA ackd wth goud pla gvs a stal dctvt of aout 95 db ov th t adwdth of tst Usg th codtos dscussd scto 32, th goud pla of sd W = 265cm ca cosdd as a ft goud pla to th loops It s ovous that th adato patt of th CCLA ackd wth a goud pla to udctoal as show Fg 3 Th HPBW th pla of φ = s 779 ad th pla φ = 9 s 673 Th adwdth VSWR < 2 ad dmsos of th CCLA ackd wth a goud pla at 245 GHz ad 58 GHz a show Tal 4 5
7 Fgu 3: Radato patts th 3-lmt CCLA ackd wth goud pla wth β = ad d = 384 Tal 4: 3-Elmts CCLAs ackd wth goud plas BW f Dmsos (mm) o RAGE (GHz) (GHZ) -2 - d W Coclusos Thotcal mulatos that ca usd to dsg oadad coctc ccula-loop atas a pstd ths pap Th mulatos a mplod to dsg vaous CCLAs wth ad wthout goud plas at UHF ad mcowav fquc ads Fo th CCLAs wthout goud pla, a factoal adwdth of 83% ca otad VSWR < 2 wth dctvt hgh tha 52 db th t adwdth Th CCLA ackd wth a ft coductg goud pla ca dsgd to opat a wd ad of factoal adwdth of 96% ad dctvt of 95 db wth th t ad of tst Th A-SOF ata smulato softwa s usd to valdat aaltcal sults wh a xcllt agmt tw aaltcal ad smulatd sults s osvd Th ma fatus of th CCLAs, that th a smpl, low cost, ad ca dsgd to cov th uvsal fquc ad UHF RFID applcatos Rfcs [] G S Smth, loop atas, Ata Egg Hadook, R C Johso ad H Jask, Eds w Yok: McGaw-Hll, ch 5, 27 [2] S Ito, Iagak, ad T Skguch, Ivstgato of th aa of ccula-loop atas, IEEE Tas Atas Popagat 4: , 97 [3] R W P Kg, Th loop ata tasmsso ad cpto, I Ata Tho, Pat I, Coll, R E ad Zuck, F J w Yok: McGaw-Hll, 969 [4] R W P Kg ad G S Smth, Ata Matt: Fudamtals, Tho ad Applcatos, Camdg, MA: MIT pss, pp , 98 [5] C A Balas, Ata Tho, Aalss, ad Dsg, w Yok: Hap ad Row, ch 5, 982 [6] A Shoamash, ad L Shaf, Chaactstcs of ccula loop ata aov a losslss goud pla, IEEE Tas Atas Popagat AP-29: , 98 [7] H A Hjas, S D Gd, ad K W Wht, Effct of a ft goud pla o adatd msso of a ccula loop ata, IEEE Tas Elctomag Compat EMC-36: , 994 [8] B S Hoo, L Bugj, ad J H Facs, Mult-ad tal loop ata wth std coctc gs mol tmals, Poc, IEEE Atas ad Popagat It Smposum, pp , 27 [9] R L L, G DJa, J Laska, ad M M Ttzs Ivstgato of cculal polazd loop atas wth paastc lmt adwdth hacmt, IEEE Tas Atas Popagat AP-53: , 25 [] H akao, M Fukasawa, ad J Yamauch, Dsct multloop, modfd multloop, ad plat-loop atasmultfquc ad wd-ad VSWR chaactstcs, IEEE Tas Atas Popagat AP-5: , 22 [] S M A Hamd ad M A H Aas, Radato m a ccula loop ata placd coaxall latv to a coductg od of voluto, IEEE Tas Atas Popagat AP-6: , 22 [2] S M A Hamd ad S O Bash, Chaactstcs of a ccula loop th psc of a coaxal coductg BOR attachd to a plaa Rflcto, IEEE Atas ad Wlss Popagat Ltts 2: , 23 [3] A C Schll ad E L Bouch, A coctc loop aa, Poc WESCO, pp 22-28, 958 [4] Z Ch, X Qg ad H L Chug, A uvsal UHF RFID ad ata, IEEE Tas Mcowav Tho ad Tchqus 57: , 29 [5] X Qg, C K Goh ad Z Ch, A oadad UHF a-fld RFID ata, IEEE Tas Atas Popagat AP-58: , 2 [6] X L ad J Lao, E-shapd sgmtd ad ata a-fld UHF RFID applcatos, Pogss I Elctomagtcs Rsach 4: , 2 [7] S Fa, S Zhg, Y Ca, Y Y, Y Hu, ad J Yag, Dsg of a ovl wdad loop ata wth paastc soatos, Pogss I Elctomagtcs Rsach Ltts 37: 47-54, 23 [8] Y L, Z X ad X C, Compact loop ata a-fld ad fa-fld UHF RFID applcatos, Pogss I Elctomagtcs Rsach C 37: 7-82, 23 [9] P Wag, G W, J L, Y Huag, L Yag ad Q Zhag, Wdad cculal polazd UHF RFID ad ata wth hgh ga ad wd axal ato amwdths, Pogss I Elctomagtcs Rsach 29: , 22 [2] X La, J Ouag ad P Yag, A cculal polazd compact ata UHF ad RFID ad, Pogss I Elctomagtcs Rsach Ltts 42: 9-27, 23 [2] J Udd, M B I Raz, M A Hasa, A od, M I Iahm ad M A M Al, UHF RFID ata achtctus ad applcatos, Sctfc Rsach ad Essas 5(): 33-5, 2 5
Compact Tripple U-Shaped Slot Loaded Circular Disk Patch Antenna for Bluetooth and WLAN Application
9 VOL.6, NO., MACH Compact ppl U-Shapd Slot Loadd Ccula Dsk Patch Ata fo Blutooth ad WLAN Applcato J. A. Asa, Auag Msha, N. P. Yadav, P. Sgh, B.. Vshvakama Dpatmt of Elctocs & Commucato Uvsty of Allahabad,
More informationCBSE , ˆj. cos CBSE_2015_SET-1. SECTION A 1. Given that a 2iˆ ˆj. We need to find. 3. Consider the vector equation of the plane.
CBSE CBSE SET- SECTION. Gv tht d W d to fd 7 7 Hc, 7 7 7. Lt,. W ow tht.. Thus,. Cosd th vcto quto of th pl.. z. - + z = - + z = Thus th Cts quto of th pl s - + z = Lt d th dstc tw th pot,, - to th pl.
More informationSIMULTANEOUS METHODS FOR FINDING ALL ZEROS OF A POLYNOMIAL
Joual of athmatcal Sccs: Advacs ad Applcatos Volum, 05, ags 5-8 SIULTANEUS ETHDS FR FINDING ALL ZERS F A LYNIAL JUN-SE SNG ollg of dc Yos Uvsty Soul Rpublc of Koa -mal: usopsog@yos.ac. Abstact Th pupos
More informationSchool of Aerospace Engineering Origins of Quantum Theory. Measurements of emission of light (EM radiation) from (H) atoms found discrete lines
Ogs of Quatu Thoy Masuts of sso of lght (EM adato) fo (H) atos foud dsct ls 5 4 Abl to ft to followg ss psso ν R λ c λwavlgth, νfqucy, cspd lght RRydbg Costat (~09,7677.58c - ),,, +, +,..g.,,.6, 0.6, (Lya
More informationCBSE SAMPLE PAPER SOLUTIONS CLASS-XII MATHS SET-2 CBSE , ˆj. cos. SECTION A 1. Given that a 2iˆ ˆj. We need to find
BSE SMLE ER SOLUTONS LSS-X MTHS SET- BSE SETON Gv tht d W d to fd 7 7 Hc, 7 7 7 Lt, W ow tht Thus, osd th vcto quto of th pl z - + z = - + z = Thus th ts quto of th pl s - + z = Lt d th dstc tw th pot,,
More informationDevelopment of indirect EFBEM for radiating noise analysis including underwater problems
csnk 03 It. J. Naval cht. Oca E. 03 5:39~403 http://dx.do.o/0.478/ijnoe-03-04 Dvlopmt of dct EFBEM fo adat os aalyss clud udwat poblms Hyu-Wu Kwo Su-Yoo Ho ad J-Hu So 3 Rsach Isttut of Ma Systms E RIMSE
More informationk of the incident wave) will be greater t is too small to satisfy the required kinematics boundary condition, (19)
TOTAL INTRNAL RFLTION Kmacs pops Sc h vcos a coplaa, l s cosd h cd pla cocds wh h X pla; hc 0. y y y osd h cas whch h lgh s cd fom h mdum of hgh dx of faco >. Fo cd agls ga ha h ccal agl s 1 ( /, h hooal
More informationHandout 7. Properties of Bloch States and Electron Statistics in Energy Bands
Hdout 7 Popts of Bloch Stts d Elcto Sttstcs Eg Bds I ths lctu ou wll l: Popts of Bloch fuctos Podc boud codtos fo Bloch fuctos Dst of stts -spc Elcto occupto sttstcs g bds ECE 407 Spg 009 Fh R Coll Uvst
More informationInternational Journal of Advanced Scientific Research and Management, Volume 3 Issue 11, Nov
199 Algothm ad Matlab Pogam fo Softwa Rlablty Gowth Modl Basd o Wbull Od Statstcs Dstbuto Akladswa Svasa Vswaatha 1 ad Saavth Rama 2 1 Mathmatcs, Saaatha Collg of Egg, Tchy, Taml Nadu, Ida Abstact I ths
More informationStatics. Consider the free body diagram of link i, which is connected to link i-1 and link i+1 by joint i and joint i-1, respectively. = r r r.
Statcs Th cotact btw a mapulato ad ts vomt sults tactv ocs ad momts at th mapulato/vomt tac. Statcs ams at aalyzg th latoshp btw th actuato dv tous ad th sultat oc ad momt appld at th mapulato dpot wh
More informationNew bounds on Poisson approximation to the distribution of a sum of negative binomial random variables
Sogklaaka J. Sc. Tchol. 4 () 4-48 Ma. -. 8 Ogal tcl Nw bouds o Posso aomato to th dstbuto of a sum of gatv bomal adom vaabls * Kat Taabola Datmt of Mathmatcs Faculty of Scc Buaha Uvsty Muag Chobu 3 Thalad
More informationChapter 2 Reciprocal Lattice. An important concept for analyzing periodic structures
Chpt Rcpocl Lttc A mpott cocpt o lyzg podc stuctus Rsos o toducg cpocl lttc Thoy o cystl dcto o x-ys, utos, d lctos. Wh th dcto mxmum? Wht s th tsty? Abstct study o uctos wth th podcty o Bvs lttc Fou tsomto.
More informationReliability of time dependent stress-strength system for various distributions
IOS Joural of Mathmatcs (IOS-JM ISSN: 78-578. Volum 3, Issu 6 (Sp-Oct., PP -7 www.osrjourals.org lablty of tm dpdt strss-strgth systm for varous dstrbutos N.Swath, T.S.Uma Mahswar,, Dpartmt of Mathmatcs,
More informationLecture 7 Diffusion. Our fluid equations that we developed before are: v t v mn t
Cla ot fo EE6318/Phy 6383 Spg 001 Th doumt fo tutoal u oly ad may ot b opd o dtbutd outd of EE6318/Phy 6383 tu 7 Dffuo Ou flud quato that w dvlopd bfo a: f ( )+ v v m + v v M m v f P+ q E+ v B 13 1 4 34
More informationToday s topics. How did we solve the H atom problem? CMF Office Hours
CMF Offc ous Wd. Nov. 4 oo-p Mo. Nov. 9 oo-p Mo. Nov. 6-3p Wd. Nov. 8 :30-3:30 p Wd. Dc. 5 oo-p F. Dc. 7 4:30-5:30 Mo. Dc. 0 oo-p Wd. Dc. 4:30-5:30 p ouly xa o Th. Dc. 3 Today s topcs Bf vw of slctd sults
More information3.4 Properties of the Stress Tensor
cto.4.4 Proprts of th trss sor.4. trss rasformato Lt th compots of th Cauchy strss tsor a coordat systm wth bas vctors b. h compots a scod coordat systm wth bas vctors j,, ar gv by th tsor trasformato
More informationIntroduction to logistic regression
Itroducto to logstc rgrsso Gv: datast D { 2 2... } whr s a k-dmsoal vctor of ral-valud faturs or attrbuts ad s a bar class labl or targt. hus w ca sa that R k ad {0 }. For ampl f k 4 a datast of 3 data
More informationHomework 1: Solutions
Howo : Solutos No-a Fals supposto tst but passs scal tst lthouh -f th ta as slowss [S /V] vs t th appaac of laty alty th path alo whch slowss s to b tat to obta tavl ts ps o th ol paat S o V as a cosquc
More informationSOME IMPUTATION METHODS IN DOUBLE SAMPLING SCHEME FOR ESTIMATION OF POPULATION MEAN
aoal Joual of Mod Egg Rsach (JMER) www.jm.com ol. ssu. Ja-F 0 pp-00-07 N: 9- OME MPUTATON METHOD N DOUBLE AMPLNG HEME FOR ETMATON OF POPULATON MEAN ABTRAT Nada gh Thaku Kalpaa adav fo Mahmacal ccs (M)
More informationLecture Y4: Computational Optics I
Phooc ad opolcoc chologs DPMS: Advacd Maals Udsadg lgh ma acos s cucal fo w applcaos Lcu Y4: Compuaoal Opcs I lfos Ldoks Room Π, 65 746 ldok@cc.uo.g hp://cmsl.maals.uo.g/ldoks Rflco ad faco Toal al flco
More informationNumerical Method: Finite difference scheme
Numrcal Mthod: Ft dffrc schm Taylor s srs f(x 3 f(x f '(x f ''(x f '''(x...(1! 3! f(x 3 f(x f '(x f ''(x f '''(x...(! 3! whr > 0 from (1, f(x f(x f '(x R Droppg R, f(x f(x f '(x Forward dffrcg O ( x from
More informationD. Bertsekas and R. Gallager, "Data networks." Q: What are the labels for the x-axis and y-axis of Fig. 4.2?
pd by J. Succ ECE 543 Octob 22 2002 Outl Slottd Aloh Dft Stblzd Slottd Aloh Uslottd Aloh Splttg Algoths Rfc D. Btsks d R. llg "Dt twoks." Rvw (Slottd Aloh): : Wht th lbls fo th x-xs d y-xs of Fg. 4.2?
More informationAnouncements. Conjugate Gradients. Steepest Descent. Outline. Steepest Descent. Steepest Descent
oucms Couga Gas Mchal Kazha (6.657) Ifomao abou h Sma (6.757) hav b pos ol: hp://www.cs.hu.u/~msha Tch Spcs: o M o Tusay afoo. o Two paps scuss ach w. o Vos fo w s caa paps u by Thusay vg. Oul Rvw of Sps
More informationBoyce/DiPrima 9 th ed, Ch 7.6: Complex Eigenvalues
BocDPm 9 h d Ch 7.6: Compl Egvlus Elm Dffl Equos d Boud Vlu Poblms 9 h do b Wllm E. Boc d Rchd C. DPm 9 b Joh Wl & Sos Ic. W cosd g homogous ssm of fs od l quos wh cos l coffcs d hus h ssm c b w s ' A
More informationLoad Equations. So let s look at a single machine connected to an infinite bus, as illustrated in Fig. 1 below.
oa Euatons Thoughout all of chapt 4, ou focus s on th machn tslf, thfo w wll only pfom a y smpl tatmnt of th ntwok n o to s a complt mol. W o that h, but alz that w wll tun to ths ssu n Chapt 9. So lt
More informationCOMPLEX NUMBERS AND ELEMENTARY FUNCTIONS OF COMPLEX VARIABLES
COMPLEX NUMBERS AND ELEMENTARY FUNCTIONS OF COMPLEX VARIABLES DEFINITION OF A COMPLEX NUMBER: A umbr of th form, whr = (, ad & ar ral umbrs s calld a compl umbr Th ral umbr, s calld ral part of whl s calld
More informationPart I- Wave Reflection and Transmission at Normal Incident. Part II- Wave Reflection and Transmission at Oblique Incident
Apl 6, 3 Uboudd Mda Gudd Mda Chap 7 Chap 8 3 mls 3 o 3 M F bad Lgh wavs md by h su Pa I- Wav Rlo ad Tasmsso a Nomal Id Pa II- Wav Rlo ad Tasmsso a Oblqu Id Pa III- Gal Rlao Bw ad Wavguds ad Cavy Rsoao
More informationBinary Choice. Multiple Choice. LPM logit logistic regresion probit. Multinomial Logit
(c Pogsa Porchawssul, Faculty of Ecoomcs, Chulalogor Uvrsty (c Pogsa Porchawssul, Faculty of Ecoomcs, Chulalogor Uvrsty 3 Bary Choc LPM logt logstc rgrso probt Multpl Choc Multomal Logt (c Pogsa Porchawssul,
More informationDual adaptive control of mechanical arm
Itatoal Joual of Avac Rsach Comput Egg & chology (IJARCE Volum 6 Issu 9 Sptmb 07 ISSN: 78 33 Dual aaptv cotol of mchacal am Bgtao Lu Jx Pu Jg Lu Abstact Amg at th fctoal foc a th molg o caus by th chag
More informationPhys Nov. 3, 2017 Today s Topics. Continue Chapter 2: Electromagnetic Theory, Photons, and Light Reading for Next Time
Phys 31. No. 3, 17 Today s Topcs Cou Chap : lcomagc Thoy, Phoos, ad Lgh Radg fo Nx Tm 1 By Wdsday: Radg hs Wk Fsh Fowls Ch. (.3.11 Polazao Thoy, Jos Macs, Fsl uaos ad Bws s Agl Homwok hs Wk Chap Homwok
More informationNoise in electronic components.
No lto opot5098, JDS No lto opot Th PN juto Th ut thouh a PN juto ha fou opot t: two ffuo ut (hol fo th paa to th aa a lto th oppot to) a thal at oty ha a (hol fo th aa to th paa a lto th oppot to, laka
More informationIFYFM002 Further Maths Appendix C Formula Booklet
Ittol Foudto Y (IFY) IFYFM00 Futh Mths Appd C Fomul Booklt Rltd Documts: IFY Futh Mthmtcs Syllbus 07/8 Cotts Mthmtcs Fomul L Equtos d Mtcs... Qudtc Equtos d Rmd Thom... Boml Epsos, Squcs d Ss... Idcs,
More information( V ) 0 in the above equation, but retained to keep the complete vector identity for V in equation.
Cuvlna Coodnats Outln:. Otogonal cuvlna coodnat systms. Dffntal opatos n otogonal cuvlna coodnat systms. Dvatvs of t unt vctos n otogonal cuvlna coodnat systms 4. Incompssbl N-S quatons n otogonal cuvlna
More informationEdge Product Cordial Labeling of Some Cycle Related Graphs
Op Joua o Dsct Mathmatcs, 6, 6, 68-78 http://.scp.o/joua/ojdm ISSN O: 6-7643 ISSN Pt: 6-7635 Ed Poduct Coda Lab o Som Cyc Ratd Gaphs Udaya M. Pajapat, Ntta B. Pat St. Xav s Co, Ahmdabad, Ida Shaksh Vaha
More informationDiffraction. Diffraction: general Fresnel vs. Fraunhofer diffraction Several coherent oscillators Single-slit diffraction. Phys 322 Lecture 28
Chapt 10 Phys 3 Lctu 8 Dffacton Dffacton: gnal Fsnl vs. Faunhof dffacton Sval cohnt oscllatos Sngl-slt dffacton Dffacton Gmald, 1600s: dffacto, dvaton of lght fom lna popagaton Dffacton s a consqunc of
More informationELEC9721: Digital Signal Processing Theory and Applications
ELEC97: Digital Sigal Pocssig Thoy ad Applicatios Tutoial ad solutios Not: som of th solutios may hav som typos. Q a Show that oth digital filts giv low hav th sam magitud spos: i [] [ ] m m i i i x c
More informationReview of Vector Algebra
apt HPTE EIEW OF ETO LGE vw of cto lgba.. cto.. Dfto of a cto Dfto: vcto s a uatt tat posss bot magtu a cto a obs t paalllogam law of ao. ommutatv: D D Ut vcto:.. Scala Pouct Dot Pouct cos W a t magtu
More informationVISUALIZATION OF TRIVARIATE NURBS VOLUMES
ISUALIZATIO OF TRIARIATE URS OLUMES SAMUELČÍK Mat SK Abstact. I ths pap fcs patca st f f-f bcts a ts sazat. W xt appach f g cs a sfacs a ppa taat s bas z a -sp xpsss. O a ga s t saz g paatc s. Th sazat
More informationIn the name of Allah Proton Electromagnetic Form Factors
I th a of Allah Poto Elctoagtc o actos By : Maj Hazav Pof A.A.Rajab Shahoo Uvsty of Tchology Atoc o acto: W cos th tactos of lcto bas wth atos assu to b th gou stats. Th ct lcto ay gt scatt lastcally wth
More informationThe far field calculation: Approximate and exact solutions. Persa Kyritsi November 10th, 2005 B2-109
Th fa fl calculao: Appoa a ac oluo Pa K Novb 0h 005 B-09 Oul Novb 0h 005 Pa K Iouco Appoa oluo flco fo h gou ac oluo Cocluo Pla wav fo Ic fl: pla wav k ( ) jk H ( ) λ λ ( ) Polaao fo η 0 0 Hooal polaao
More informationDepartment of Mathematics and Statistics Indian Institute of Technology Kanpur MSO202A/MSO202 Assignment 3 Solutions Introduction To Complex Analysis
Dpartmt of Mathmatcs ad Statstcs Ida Isttut of Tchology Kapur MSOA/MSO Assgmt 3 Solutos Itroducto To omplx Aalyss Th problms markd (T) d a xplct dscusso th tutoral class. Othr problms ar for hacd practc..
More informationThe Odd Generalized Exponential Modified. Weibull Distribution
Itatoal Mathmatcal oum Vol. 6 o. 9 943-959 HIKARI td www.m-ha.com http://d.do.og/.988/m.6.6793 Th Odd Galzd Epotal Modd Wbull Dstbuto Yassm Y. Abdlall Dpatmt o Mathmatcal Statstcs Isttut o Statstcal Studs
More informationCounting the compositions of a positive integer n using Generating Functions Start with, 1. x = 3 ), the number of compositions of 4.
Coutg th compostos of a postv tgr usg Gratg Fuctos Start wth,... - Whr, for ampl, th co-ff of s, for o summad composto of aml,. To obta umbr of compostos of, w d th co-ff of (...) ( ) ( ) Hr for stac w
More informationControl Systems. Lecture 8 Root Locus. Root Locus. Plant. Controller. Sensor
Cotol Syt ctu 8 Root ocu Clacal Cotol Pof. Eugo Schut hgh Uvty Root ocu Cotoll Plat R E C U Y - H C D So Y C C R C H Wtg th loo ga a w a ttd tackg th clod-loo ol a ga va Clacal Cotol Pof. Eugo Schut hgh
More informationDiffraction. Diffraction: general Fresnel vs. Fraunhofer diffraction Several coherent oscillators Single-slit diffraction. Phys 322 Lecture 28
Chapt 10 Phys 3 Lctu 8 Dffacton Dffacton: gnal Fsnl vs. Faunhof dffacton Sval cohnt oscllatos Sngl-slt dffacton Dffacton Gmald, 1600s: dffacto, dvaton of lght fom lna popagaton Dffacton s a consqunc of
More informationChapter 6. pn-junction diode: I-V characteristics
Chatr 6. -jucto dod: -V charactrstcs Tocs: stady stat rsos of th jucto dod udr ald d.c. voltag. ucto udr bas qualtatv dscusso dal dod quato Dvatos from th dal dod Charg-cotrol aroach Prof. Yo-S M Elctroc
More informationALPHABET. 0Letter Practice
ALPHABET 0Ltt Pat Ltt Pat - Aa A A A A a a a Cl A s A a a A A Cl a s A a k Aa a Cut ut th ltt s a glu thm th ght st. Catal A Las a 2014 Lau Thms.msthmsstasus.m a a A a A A Ltt Pat - B B B B B Cl B s m
More informationCHAPTER-4 A BROAD CLASS OF ADDITIVE ERROR CODING, CHANNELS AND LOWER BOUND ON THE PROBABILITY OF ERROR FOR BLOCK CODES USING SK- METRIC
CHATER-4 A ROAD CLASS OF ADDITIVE ERROR CODING CHANNELS AND LOWER OUND ON THE ROAILITY OF ERROR FOR LOCK CODES USING SK- METRIC Th ctts f ths Chat a basd m fllwg ublshd a: Gau A Shama D A ad Class f Addtv
More informationExistence of Nonoscillatory Solutions for a Class of N-order Neutral Differential Systems
Vo 3 No Mod Appd Scc Exsc of Nooscaoy Souos fo a Cass of N-od Nua Dffa Sysms Zhb Ch & Apg Zhag Dpam of Ifomao Egg Hua Uvsy of Tchoogy Hua 4 Cha E-ma: chzhbb@63com Th sach s facd by Hua Povc aua sccs fud
More informationLecture 1: Empirical economic relations
Ecoomcs 53 Lctur : Emprcal coomc rlatos What s coomtrcs? Ecoomtrcs s masurmt of coomc rlatos. W d to kow What s a coomc rlato? How do w masur such a rlato? Dfto: A coomc rlato s a rlato btw coomc varabls.
More informationRectification and Depth Computation
Dpatmnt of Comput Engnng Unvst of Cafona at Santa Cuz Rctfcaton an Dpth Computaton CMPE 64: mag Anass an Comput Vson Spng 0 Ha ao 4/6/0 mag cosponncs Dpatmnt of Comput Engnng Unvst of Cafona at Santa Cuz
More informationAn Analysis of a Double-layer Electromagnetic Shield for a Universal Contactless Battery Charging Platform
A Aalyss of a Doubl-lay Elcomagc Shld fo a Uvsal Coaclss Bay Chagg Plafom Absac A pad doubl-lay plaa sucu s mployd o shld h lcomagc EM fld a h boom of a uvsal chagg plafom. Th doubl-lay cosss of a lay
More informationENGG 1203 Tutorial. Difference Equations. Find the Pole(s) Finding Equations and Poles
ENGG 03 Tutoial Systms ad Cotol 9 Apil Laig Obctivs Z tasfom Complx pols Fdbac cotol systms Ac: MIT OCW 60, 6003 Diffc Equatios Cosid th systm pstd by th followig diffc quatio y[ ] x[ ] (5y[ ] 3y[ ]) wh
More informationCourse 10 Shading. 1. Basic Concepts: Radiance: the light energy. Light Source:
Cour 0 Shadg Cour 0 Shadg. Bac Coct: Lght Sourc: adac: th lght rg radatd from a ut ara of lght ourc or urfac a ut old agl. Sold agl: $ # r f lght ourc a ot ourc th ut ara omttd abov dfto. llumato: lght
More informationGliderol Panel Glide Sectional Overhead Garage Door
Gd P Gd S Ovd Gg D PANELGLIDE Fm dd mufu Gd Gg Ds ms u v gg ds s vd Gd P-Gd Gg D, v, g qu gg d mufud fm g sg gvsd s. Usg v pg p ssm d bd suu pg d suspdd z fm g P-Gd s d s fu us f dv f pkg. P-Gd s ds mufud
More informationsignal amplification; design of digital logic; memory circuits
hatr Th lctroc dvc that s caabl of currt ad voltag amlfcato, or ga, cojucto wth othr crcut lmts, s th trasstor, whch s a thr-trmal dvc. Th dvlomt of th slco trasstor by Bard, Bratta, ad chockly at Bll
More informationNuclear Chemistry -- ANSWERS
Hoor Chstry Mr. Motro 5-6 Probl St Nuclar Chstry -- ANSWERS Clarly wrt aswrs o sparat shts. Show all work ad uts.. Wrt all th uclar quatos or th radoactv dcay srs o Urau-38 all th way to Lad-6. Th dcay
More informationCh. 6 Free Electron Fermi Gas
Ch. 6 lcto i Gas Coductio lctos i a tal ov fl without scattig b io cos so it ca b cosidd as if walitactig o f paticls followig idiac statistics. hfo th coductio lctos a fqutl calld as f lcto i gas. Coductio
More informationBayesian Shrinkage Estimator for the Scale Parameter of Exponential Distribution under Improper Prior Distribution
Itratoal Joural of Statstcs ad Applcatos, (3): 35-3 DOI:.593/j.statstcs.3. Baysa Shrkag Estmator for th Scal Paramtr of Expotal Dstrbuto udr Impropr Pror Dstrbuto Abbas Najm Salma *, Rada Al Sharf Dpartmt
More informationE F. and H v. or A r and F r are dual of each other.
A Duality Thom: Consid th following quations as an xampl = A = F μ ε H A E A = jωa j ωμε A + β A = μ J μ A x y, z = J, y, z 4π E F ( A = jω F j ( F j β H F ωμε F + β F = ε M jβ ε F x, y, z = M, y, z 4π
More informationA study on Ricci soliton in S -manifolds.
IO Joual of Mathmatc IO-JM -IN: 78-578 p-in: 9-765 olum Iu I Ja - Fb 07 PP - wwwojoualo K dyavath ad Bawad Dpatmt of Mathmatc Kuvmpu vtyhaaahatta - 577 5 hmoa Kaataa Ida Abtact: I th pap w tudy m ymmtc
More informationand integrated over all, the result is f ( 0) ] //Fourier transform ] //inverse Fourier transform
NANO 70-Nots Chapt -Diactd bams Dlta uctio W d som mathmatical tools to dvlop a physical thoy o lcto diactio. Idal cystals a iiit this, so th will b som iiitis lii about. Usually, th iiit quatity oly ists
More information4.4 Linear Dielectrics F
4.4 Lina Dilctics F stal F stal θ magntic dipol imag dipol supconducto 4.4.1 Suscptiility, mitivility, Dilctic Constant I is not too stong, th polaization is popotional to th ild. χ (sinc D, D is lctic
More informationChp6. pn Junction Diode: I-V Characteristics II
Ch6. Jucto od: -V Charactrstcs 147 6. 1. 3 rvato Pror 163 Hols o th quas utral -sd For covc s sak, df coordat as, - Th, d h d' ' B.C. 164 1 ) ' ( ' / qv L P qv P P P P L q d d q J '/ / 1) ( ' ' 같은방법으로
More informationProfessor Wei Zhu. 1. Sampling from the Normal Population
AMS570 Pofesso We Zhu. Samplg fom the Nomal Populato *Example: We wsh to estmate the dstbuto of heghts of adult US male. It s beleved that the heght of adult US male follows a omal dstbuto N(, ) Def. Smple
More informationDigital Image Processing
Impa Cog odo Dpatmt of Ectca ad Ectoc Egg Dgta Imag Pocssg PART IMAGE ENHANCEMENT Acadmc sposb D. Taa STATHAKI Room 8 Et. 469 Ema: t.statha@mpa.ac.u http://www.commsp..c.ac.u/~taa/ . Pmas. Spata doma mthods
More information= y and Normed Linear Spaces
304-50 LINER SYSTEMS Lectue 8: Solutos to = ad Nomed Lea Spaces 73 Fdg N To fd N, we eed to chaacteze all solutos to = 0 Recall that ow opeatos peseve N, so that = 0 = 0 We ca solve = 0 ecusvel backwads
More informationA Stochastic Approximation Iterative Least Squares Estimation Procedure
Joural of Al Azhar Uvrst-Gaza Natural Sccs, 00, : 35-54 A Stochastc Appromato Itratv Last Squars Estmato Procdur Shahaz Ezald Abu- Qamar Dpartmt of Appld Statstcs Facult of Ecoomcs ad Admstrato Sccs Al-Azhar
More informationComputer Aided Design and Simulation of a Multiobjective Microstrip Patch Antenna for Wireless Applications
(IJACSA) Itratoal Joural of Advacd Computr Scc ad Applcatos, Computr Add Dsg ad Smulato of a Multobjctv Mcrostrp Patch Ata for Wrlss Applcatos Chtra Sgh 1* ad R. P. S. Gagwar 1, Dpartmt of Elctrocs & Commucato
More informationExtinction Ratio and Power Penalty
Application Not: HFAN-.. Rv.; 4/8 Extinction Ratio and ow nalty AVALABLE Backgound Extinction atio is an impotant paamt includd in th spcifications of most fib-optic tanscivs. h pupos of this application
More informationUnbalanced Panel Data Models
Ubalacd Pal Data odls Chaptr 9 from Baltag: Ecoomtrc Aalyss of Pal Data 5 by Adrás alascs 4448 troducto balacd or complt pals: a pal data st whr data/obsrvatos ar avalabl for all crosssctoal uts th tr
More informationStructure and Features
Thust l Roll ans Thust Roll ans Stutu an atus Thust ans onsst of a psly ma a an olls. Thy hav hh ty an hh loa apats an an b us n small spas. Thust l Roll ans nopoat nl olls, whl Thust Roll ans nopoat ylnal
More informationConvolution of Generated Random Variable from. Exponential Distribution with Stabilizer Constant
Appld Mamacal Scc Vol 9 5 o 9 78-789 HIKARI Ld wwwm-acom p://dxdoog/988/am5559 Covoluo of Gad Radom Vaabl fom Expoal Dbuo w Sablz Coa Dod Dvao Maa Lufaa Oaa ad Maa Aa Dpam of Mamac Facul of Mamac ad Naual
More informationCHAPTER 4. FREQUENCY ESTIMATION AND TRACKING
CHPTER 4. FREQUENCY ESTITION ND TRCKING 4.. Itroducto Estmtg mult-frquc susodl sgls burd os hs b th focus of rsrch for qut som tm [68] [58] [46] [64]. ost of th publshd rsrch usd costrd ft mpuls rspos
More informationToday s topic 2 = Setting up the Hydrogen Atom problem. Schematic of Hydrogen Atom
Today s topic Sttig up th Hydog Ato pobl Hydog ato pobl & Agula Motu Objctiv: to solv Schödig quatio. st Stp: to dfi th pottial fuctio Schatic of Hydog Ato Coulob s aw - Z 4ε 4ε fo H ato Nuclus Z What
More informationThe angle between L and the z-axis is found from
Poblm 6 This is not a ifficult poblm but it is a al pain to tansf it fom pap into Mathca I won't giv it to you on th quiz, but know how to o it fo th xam Poblm 6 S Figu 6 Th magnitu of L is L an th z-componnt
More information2011 HSC Mathematics Extension 1 Solutions
0 HSC Mathmatics Etsio Solutios Qustio, (a) A B 9, (b) : 9, P 5 0, 5 5 7, si cos si d d by th quotit ul si (c) 0 si cos si si cos si 0 0 () I u du d u cos d u.du cos (f) f l Now 0 fo all l l fo all Rag
More informationCERTAIN RESULTS ON TIGHTENED-NORMAL-TIGHTENED REPETITIVE DEFERRED SAMPLING SCHEME (TNTRDSS) INDEXED THROUGH BASIC QUALITY LEVELS
Intnatonal Rsach Jounal of Engnng and Tchnology (IRJET) -ISSN: 2395-0056 Volum: 03 Issu: 02 Fb-2016 www.jt.nt p-issn: 2395-0072 CERTAIN RESULTS ON TIGHTENED-NORMAL-TIGHTENED REPETITIVE DEFERRED SAMPLING
More informationObjectives of Multiple Regression
Obectves of Multple Regresso Establsh the lear equato that best predcts values of a depedet varable Y usg more tha oe eplaator varable from a large set of potetal predctors {,,... k }. Fd that subset of
More informationRails for Switches and Sensors L Selectable, No Hole (Shape A, B and C) / Slotted Holes (Shape C)
Rails fo witchs an nsos lctal, o ol (hap, an ) / lott ols (hap ) Rails fo witchs an nsos onfigual, o ol (hap, an ) Qatus: luminum ail lank. ol machining is qui fo mounting. o hol machin poucts, f to P.8.
More informationMeasuring dielectric properties at the nanoscale using Electrostatic Force Microscopy
Masug dlctc popts at th aoscal usg Elctostatc Foc Mcoscopy R. Ao, C. Rdl,,3, G. A. Schwatz 4, G. Lévêqu, A. Algía 3,4, Ph. Todjma 5, N. E. Isaloff 6, M. Ramoda 7 ad J. Colmo,3,4 IES, UMR CNRS 54, Uvsté
More informationA NEW GENERALIZATION OF THE EXPONENTIAL-GEOMETRIC DISTRIBUTION
Jou of Sttstcs: Advcs Thoy d Actos Voum 7 Num Pgs 5-48 A NW GNRAIZATION OF TH PONNTIA-GOMTRIC DISTRIBUTION M. NASSAR d N. NADA Dtmt of Mthmtcs Fcuty of Scc A Shms Uvsty Ass Co 566 gyt -m: m_ss_999@yhoo.com
More informationsuch that for 1 From the definition of the k-fibonacci numbers, the firsts of them are presented in Table 1. Table 1: First k-fibonacci numbers F 1
Scholas Joual of Egeeg ad Techology (SJET) Sch. J. Eg. Tech. 0; (C):669-67 Scholas Academc ad Scetfc Publshe (A Iteatoal Publshe fo Academc ad Scetfc Resouces) www.saspublshe.com ISSN -X (Ole) ISSN 7-9
More informationOrder Statistics from Exponentiated Gamma. Distribution and Associated Inference
It J otm Mth Scc Vo 4 9 o 7-9 Od Stttc fom Eottd Gmm Dtto d Aoctd Ifc A I Shw * d R A Bo G og of Edcto PO Bo 369 Jddh 438 Sd A G og of Edcto Dtmt of mthmtc PO Bo 469 Jddh 49 Sd A Atct Od tttc fom ottd
More informationASYMPTOTIC AND TOLERANCE 2D-MODELLING IN ELASTODYNAMICS OF CERTAIN THIN-WALLED STRUCTURES
AYMPTOTIC AD TOLERACE D-MODELLIG I ELATODYAMIC OF CERTAI THI-WALLED TRUCTURE B. MICHALAK Cz. WOŹIAK Dpartmt of tructural Mchacs Lodz Uvrsty of Tchology Al. Poltrchk 6 90-94 Łódź Polad Th objct of aalyss
More informationGTOC9: Results from the National University of Defense Technology
GTOC9: Rsults om th Natoal Uvsty o Ds Tchology Yazhog Luo *, Yuh Zhu, Ha Zhu, Zh Yag, Shua Mou, J Zhag, Zhjag Su, ad Ju Lag Collg o Aospac Scc ad Egg, Natoal Uvsty o Ds Tchology, Chagsha 4173, Cha Abstact:
More informationENGI 4421 Propagation of Error Page 8-01
ENGI 441 Propagato of Error Page 8-01 Propagato of Error [Navd Chapter 3; ot Devore] Ay realstc measuremet procedure cotas error. Ay calculatos based o that measuremet wll therefore also cota a error.
More informationElectromagnetics: The Smith Chart (9-6)
Elctomagntcs: Th Smth Chat (9-6 Yoonchan Jong School of Elctcal Engnng, Soul Natonal Unvsty Tl: 8 (0 880 63, Fax: 8 (0 873 9953 Emal: yoonchan@snu.ac.k A Confomal Mappng ( Mappng btwn complx-valud vaabls:
More informationPart 4b Asymptotic Results for MRR2 using PRESS. Recall that the PRESS statistic is a special type of cross validation procedure (see Allen (1971))
art 4b Asymptotc Results for MRR usg RESS Recall that the RESS statstc s a specal type of cross valdato procedure (see Alle (97)) partcular to the regresso problem ad volves fdg Y $,, the estmate at the
More informationMath Tricks. Basic Probability. x k. (Combination - number of ways to group r of n objects, order not important) (a is constant, 0 < r < 1)
Math Trcks r! Combato - umbr o was to group r o objcts, ordr ot mportat r! r! ar 0 a r a s costat, 0 < r < k k! k 0 EX E[XX-] + EX Basc Probablt 0 or d Pr[X > ] - Pr[X ] Pr[ X ] Pr[X ] - Pr[X ] Proprts
More informationIntroduction to logistic regression
Itroducto to logstc rgrsso Gv: datast D {... } whr s a k-dmsoal vctor of ral-valud faturs or attrbuts ad s a bar class labl or targt. hus w ca sa that R k ad {0 }. For ampl f k 4 a datast of 3 data pots
More informationFast periodic interpolation method for periodic unit cell problems
AP1-69 1 Fast odc tolato thod fo odc ut cll obls Shaoj L Studt Mb IEEE Dk A. Va Od Studt Mb IEEE ad Vtal Loak So Mb IEEE Abstact A fast odc tolato thod (FPIM) s std fo adl cout flds a ut cll of a ftl odc
More informationLECTURE 6 TRANSFORMATION OF RANDOM VARIABLES
LECTURE 6 TRANSFORMATION OF RANDOM VARIABLES TRANSFORMATION OF FUNCTION OF A RANDOM VARIABLE UNIVARIATE TRANSFORMATIONS TRANSFORMATION OF RANDOM VARIABLES If s a rv wth cdf F th Y=g s also a rv. If w wrt
More informationGalaxy Photometry. Recalling the relationship between flux and luminosity, Flux = brightness becomes
Galaxy Photomty Fo galaxis, w masu a sufac flux, that is, th couts i ach pixl. Though calibatio, this is covtd to flux dsity i Jaskys ( Jy -6 W/m/Hz). Fo a galaxy at som distac, d, a pixl of sid D subtds
More informationPhysics 202, Lecture 5. Today s Topics. Announcements: Homework #3 on WebAssign by tonight Due (with Homework #2) on 9/24, 10 PM
Physics 0, Lctu 5 Today s Topics nnouncmnts: Homwok #3 on Wbssign by tonight Du (with Homwok #) on 9/4, 10 PM Rviw: (Ch. 5Pat I) Elctic Potntial Engy, Elctic Potntial Elctic Potntial (Ch. 5Pat II) Elctic
More informationBayesian Credibility for Excess of Loss Reinsurance Rating. By Mark Cockroft 1 Lane Clark & Peacock LLP
By Cly o c o Lo Rc Rg By M Coco L Cl & Pcoc LLP GIRO coc 4 Ac Th pp c how o v cly wgh w po- pc-v o c o lo c. Th po co o Poo-Po ol ch wh po G o. Kywo c o lo c g By cly Poo Po G po Acowlg cl I wol l o h
More informationCIVL 7/ D Boundary Value Problems - Axisymmetric Elements 1/8
CIVL 7/8 -D Bounday Valu Poblms - xsymmtc Elmnts /8 xsymmtc poblms a somtms fd to as adally symmtc poblms. hy a gomtcally th-dmnsonal but mathmatcally only two-dmnsonal n th physcs of th poblm. In oth
More informationTHE EXPONENTIATED GENERALIZED FLEXIBLE WEIBULL EXTENSION DISTRIBUTION
Fudmtl Joul of Mthmtcs d Mthmtcl Sccs Vol. 6 Issu 6 Pgs 75-98 Ths pp s vll ol t http://www.fdt.com/ Pulshd ol Octo 6 THE EXPONENTIATED GENERAIZED FEXIBE WEIBU EXTENSION DISTRIBUTION ABDEFATTAH MUSTAFA
More informationThe Geometric Proof of the Hecke Conjecture
The Geometc Poof of the Hecke Cojectue Kada Sh Depatmet of Mathematc Zhejag Ocea Uvety Zhouha Cty 6 Zhejag Povce Cha Atact Begg fom the eoluto of Dchlet fucto ug the e poduct fomula of two fte-dmeoal vecto
More informationFairing of Parametric Quintic Splines
ISSN 46-69 Eglad UK Joual of Ifomato ad omputg Scece Vol No 6 pp -8 Fag of Paametc Qutc Sples Yuau Wag Shagha Isttute of Spots Shagha 48 ha School of Mathematcal Scece Fuda Uvesty Shagha 4 ha { P t )}
More information