Point-to-Point Links. Problem: Consecutive 1s or 0s. Alternative Encodings. Encoding. Signals propagate over a physical medium

Size: px
Start display at page:

Download "Point-to-Point Links. Problem: Consecutive 1s or 0s. Alternative Encodings. Encoding. Signals propagate over a physical medium"

Transcription

1 Encdng Pn--Pn Lnks Oln Encdng Frang Errr Dcn Sldng Wndw Algrh Sgnals prpaga vr a physcal d dla lcragnc wavs.g., vary vlag Encd bnary daa n sgnals.g., 0 as lw sgnal and 1 as hgh sgnal knwn as Nn-Rrn zr (NRZ) Bs NRZ Sprng 2005 CS Sprng 2005 CS Prbl: Cnscv 1s r 0s Lw sgnal (0) ay b nrprd as n sgnal Hgh sgnal (1) lads basln wandr Unabl rcvr clck Alrnav Encdngs Nn-rrn Zr Invrd (NRZI) ak a ransn fr crrn sgnal ncd a n; say a crrn sgnal ncd a zr slvs h prbl f cnscv ns Manchsr rans XOR f h NRZ ncdd daa and h clck nly 50% ffcn (b ra = 1/2 bad ra) Sprng 2005 CS Sprng 2005 CS 461 4

2 Encdngs (cn) Encdngs (cn) Bs NRZ Clck Manchsr B/5B vry 4 bs f daa ncdd n a 5-b cd 5-b cds slcd hav n r han n ladng 0 and n r han w ralng 0s hs, nvr g r han hr cnscv 0s rslng 5-b cds ar ransd sng NRZI achvs 80% ffcncy NRZI Sprng 2005 CS Sprng 2005 CS Frang Brak sqnc f bs n a fra ypcally plnd by nwrk adapr Snnl-basd Apprachs dlna fra wh spcal parn: g., HDLC, SDLC, PPP Nd A Bs Adapr Adapr Nd B Fras Bgnnng sqnc Hadr Bdy CRC Endng sqnc prbl: spcal parn appars n h paylad sln: b sffng sndr: nsr 0 afr fv cnscv 1s rcvr: dl 0 ha fllws fv cnscv 1s Sprng 2005 CS Sprng 2005 CS 461 8

3 Apprachs (cn) Cnr-basd ncld paylad lngh n hadr.g., DDCMP Apprachs (cn) Clck-basd ach fra s 125s lng.g., SONE: Synchrns Opcal Nwrk SS-n (SS-1 = Mbps) Cn Hadr Bdy CRC Ovrhad Paylad SS -1 SS -1 SS -1 prbl: cn fld crrpd sln: cach whn CRC fals 9 rws Hdr SS -3c 90 clns Sprng 2005 CS Sprng 2005 CS Cyclc Rdndancy Chck Add k bs f rdndan daa an n-b ssag wan k << n.g., k = 32 and n = 12,000 (1500 bys) Rprsn n-b ssag as n-1 dgr plynal.g., MSG= as M(x) = x 7 + x 4 + x 3 + x 1 L k b h dgr f s dvsr plynal.g., C(x) = x 3 + x CRC (cn) rans plynal P(x) ha s vnly dvsbl by C(x) shf lf k bs,.., M(x)x k sbrac randr f M(x)x k / C(x) fr M(x)x k Rcvr plynal P(x) + E(x) E(x) = 0 pls n rrrs Dvd (P(x) + E(x)) by C(x); randr zr f: E(x) was zr (n rrr), r E(x) s xacly dvsbl by C(x) Sprng 2005 CS Sprng 2005 CS

4 Slcng C(x) All sngl-b rrrs, as lng as h x k and x 0 rs hav nn-zr cffcns. All dbl-b rrrs, as lng as C(x) cnans a facr wh a las hr rs Any dd nbr f rrrs, as lng as C(x) cnans h facr (x + 1) Any brs rrr (.., sqnc f cnscv rrr bs) fr whch h lngh f h brs s lss han k bs. Ms brs rrrs f largr han k bs can als b dcd S abl 2.6 n pag 102 fr cn C(x) Sprng 2005 CS Inrn Chcks Algrh Vw ssag as a sqnc f 16-b ngrs; s sng 16-b ns-cpln arhc; ak ns-cpln f h rsl. _shr cks(_shr *bf, n cn) { rgsr _lng s = 0; whl (cn--) { s += *bf++; f (s & 0xFFFF0000) { /* carry ccrrd, s wrap arnd */ s &= 0xFFFF; s++; } } rrn ~(s & 0xFFFF); } Sprng 2005 CS Acknwldgns & s Sndr Fra Rcvr Sndr Fra Fra Rcvr Sp-and-Wa Sndr Rcvr (a) (c) Sndr Fra Fra (b) Rcvr Sndr Fra Fra (d) Rcvr Prbl: kpng h pp fll Exapl 1.5Mbps lnk x 45s R = 67.5Kb (8KB) 1KB fras pls 1/8h lnk lzan Sprng 2005 CS Sprng 2005 CS

5 Sldng Wndw Allw lpl sandng (n-d) fras Uppr bnd n n-d fras, calld wndw Sndr Rcvr SW: Sndr Assgn sqnc nbr ach fra (SqN) Manan hr sa varabls: snd wndw sz (SWS) las acknwldgn rcvd (LAR) las fra sn (LFS) Manan nvaran: LFS - LAR <= SWS LAR! SWS LFS Advanc LAR whn arrvs Bffr p SWS fras Sprng 2005 CS Sprng 2005 CS SW: Rcvr Manan hr sa varabls rcv wndw sz (RWS) largs fra accpabl (LFA) las fra rcvd (NFE) Manan nvaran: LFA - LFR <= RWS NFE! RWS Fra SqN arrvs: f LFR < SqN < = LFA accp f SqN < = LFR r SqN > LFA dscardd Snd clav s Sprng 2005 CS LFA Sqnc Nbr Spac SqN fld s fn; sqnc nbrs wrap arnd Sqnc nbr spac s b largr hn nbr f sandng fras SWS <= MaxSqN-1 s n sffcn spps 3-b SqN fld (0..7) SWS=RWS=7 sndr rans fras 0..6 arrv sccssflly, b s ls sndr rranss 0..6 rcvr xpcng 7, 0..5, b rcvs scnd ncarnan f 0..5 SWS < (MaxSqN+1)/2 s crrc rl Invly, SqN slds bwn w halvs f sqnc nbr spac Sprng 2005 CS

6 Cncrrn Lgcal Channls Mlplx 8 lgcal channls vr a sngl lnk Rn sp-and-wa n ach lgcal channl Manan hr sa bs pr channl channl bsy crrn sqnc nbr nx sqnc nbr n Hadr: 3-b channl n, 1-b sqnc n 4-bs al sa as sldng wndw prcl Sparas rlably fr rdr Sprng 2005 CS

10.5 Linear Viscoelasticity and the Laplace Transform

10.5 Linear Viscoelasticity and the Laplace Transform Scn.5.5 Lnar Vclacy and h Lalac ranfrm h Lalac ranfrm vry uful n cnrucng and analyng lnar vclac mdl..5. h Lalac ranfrm h frmula fr h Lalac ranfrm f h drvav f a funcn : L f f L f f f f f c..5. whr h ranfrm

More information

Advanced Queueing Theory. M/G/1 Queueing Systems

Advanced Queueing Theory. M/G/1 Queueing Systems Advand Quung Thory Ths slds ar rad by Dr. Yh Huang of Gorg Mason Unvrsy. Sudns rgsrd n Dr. Huang's ourss a GMU an ma a sngl mahn-radabl opy and prn a sngl opy of ah sld for hr own rfrn, so long as ah sld

More information

Lecture 23. Multilayer Structures

Lecture 23. Multilayer Structures Lcu Mullay Sucus In hs lcu yu wll lan: Mullay sucus Dlcc an-flcn (AR) cangs Dlcc hgh-flcn (HR) cangs Phnc Band-Gap Sucus C Fall 5 Fahan Rana Cnll Unvsy Tansmssn Ln Juncns and Dscnnus - I Tansmssn ln dscnnus

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

Frequency Response. Lecture #12 Chapter 10. BME 310 Biomedical Computing - J.Schesser

Frequency Response. Lecture #12 Chapter 10. BME 310 Biomedical Computing - J.Schesser Frquncy Rspns Lcur # Chapr BME 3 Bimdical Cmpuing - J.Schssr 99 Idal Filrs W wan sudy Hω funcins which prvid frquncy slciviy such as: Lw Pass High Pass Band Pass Hwvr, w will lk a idal filring, ha is,

More information

NAME: ANSWER KEY DATE: PERIOD. DIRECTIONS: MULTIPLE CHOICE. Choose the letter of the correct answer.

NAME: ANSWER KEY DATE: PERIOD. DIRECTIONS: MULTIPLE CHOICE. Choose the letter of the correct answer. R A T T L E R S S L U G S NAME: ANSWER KEY DATE: PERIOD PREAP PHYSICS REIEW TWO KINEMATICS / GRAPHING FORM A DIRECTIONS: MULTIPLE CHOICE. Chs h r f h rr answr. Us h fgur bw answr qusns 1 and 2. 0 10 20

More information

trawhmmry ffimmf,f;wnt

trawhmmry ffimmf,f;wnt r nsr rwry fff,f;wn My 26, $51 Swe, k "Te Srwberry Cp f e Vr,, c) [ re ers 6 (, r " * f rn ff e # s S,r,* )er*,3n*,.\ ) x 8 2 n v c e 6 r D r, } e ;s 1 :n..< Z r : 66 3 X f; 1r_ X r { j r Z r 1r 3r B s

More information

The Variance-Covariance Matrix

The Variance-Covariance Matrix Th Varanc-Covaranc Marx Our bggs a so-ar has bn ng a lnar uncon o a s o daa by mnmzng h las squars drncs rom h o h daa wh mnsarch. Whn analyzng non-lnar daa you hav o us a program l Malab as many yps o

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

Colby College Catalogue

Colby College Catalogue Colby College Digital Commons @ Colby Colby Catalogues College Archives: Colbiana Collection 1872 Colby College Catalogue 1872-1873 Colby College Follow this and additional works at: http://digitalcommonscolbyedu/catalogs

More information

Vr Vr

Vr Vr F rt l Pr nt t r : xt rn l ppl t n : Pr nt rv nd PD RDT V t : t t : p bl ( ll R lt: 00.00 L n : n L t pd t : 0 6 20 8 :06: 6 pt (p bl Vr.2 8.0 20 8.0. 6 TH N PD PPL T N N RL http : h b. x v t h. p V l

More information

The Mathematics of Harmonic Oscillators

The Mathematics of Harmonic Oscillators Th Mhcs of Hronc Oscllors Spl Hronc Moon In h cs of on-nsonl spl hronc oon (SHM nvolvng sprng wh sprng consn n wh no frcon, you rv h quon of oon usng Nwon's scon lw: con wh gvs: 0 Ths s sos wrn usng h

More information

Colby College Catalogue

Colby College Catalogue Colby College Digital Commons @ Colby Colby Catalogues College Archives: Colbiana Collection 1871 Colby College Catalogue 1871-1872 Colby College Follow this and additional works at: http://digitalcommonscolbyedu/catalogs

More information

A L A BA M A L A W R E V IE W

A L A BA M A L A W R E V IE W A L A BA M A L A W R E V IE W Volume 52 Fall 2000 Number 1 B E F O R E D I S A B I L I T Y C I V I L R I G HT S : C I V I L W A R P E N S I O N S A N D TH E P O L I T I C S O F D I S A B I L I T Y I N

More information

Colby College Catalogue

Colby College Catalogue Colby College Digital Commons @ Colby Colby Catalogues College Archives: Colbiana Collection 1870 Colby College Catalogue 1870-1871 Colby College Follow this and additional works at: http://digitalcommonscolbyedu/catalogs

More information

,. *â â > V>V. â ND * 828.

,. *â â > V>V. â ND * 828. BL D,. *â â > V>V Z V L. XX. J N R â J N, 828. LL BL D, D NB R H â ND T. D LL, TR ND, L ND N. * 828. n r t d n 20 2 2 0 : 0 T http: hdl.h ndl.n t 202 dp. 0 02802 68 Th N : l nd r.. N > R, L X. Fn r f,

More information

22 t b r 2, 20 h r, th xp t d bl n nd t fr th b rd r t t. f r r z r t l n l th h r t rl T l t n b rd n n l h d, nd n nh rd f pp t t f r n. H v v d n f

22 t b r 2, 20 h r, th xp t d bl n nd t fr th b rd r t t. f r r z r t l n l th h r t rl T l t n b rd n n l h d, nd n nh rd f pp t t f r n. H v v d n f n r t d n 20 2 : 6 T P bl D n, l d t z d http:.h th tr t. r pd l 22 t b r 2, 20 h r, th xp t d bl n nd t fr th b rd r t t. f r r z r t l n l th h r t rl T l t n b rd n n l h d, nd n nh rd f pp t t f r

More information

0 t b r 6, 20 t l nf r nt f th l t th t v t f th th lv, ntr t n t th l l l nd d p rt nt th t f ttr t n th p nt t th r f l nd d tr b t n. R v n n th r

0 t b r 6, 20 t l nf r nt f th l t th t v t f th th lv, ntr t n t th l l l nd d p rt nt th t f ttr t n th p nt t th r f l nd d tr b t n. R v n n th r n r t d n 20 22 0: T P bl D n, l d t z d http:.h th tr t. r pd l 0 t b r 6, 20 t l nf r nt f th l t th t v t f th th lv, ntr t n t th l l l nd d p rt nt th t f ttr t n th p nt t th r f l nd d tr b t n.

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

Supplementary Figure 1. Experiment and simulation with finite qudit. anharmonicity. (a), Experimental data taken after a 60 ns three-tone pulse.

Supplementary Figure 1. Experiment and simulation with finite qudit. anharmonicity. (a), Experimental data taken after a 60 ns three-tone pulse. Supplmnar Fgur. Eprmn and smulaon wh fn qud anharmonc. a, Eprmnal daa akn afr a 6 ns hr-on puls. b, Smulaon usng h amlonan. Supplmnar Fgur. Phagoran dnamcs n h m doman. a, Eprmnal daa. Th hr-on puls s

More information

l f t n nd bj t nd x f r t l n nd rr n n th b nd p phl t f l br r. D, lv l, 8. h r t,., 8 6. http://hdl.handle.net/2027/miun.aey7382.0001.001 P bl D n http://www.hathitrust.org/access_use#pd Th r n th

More information

:2;$-$(01*%<*=,-./-*=0;"%/;"-*

:2;$-$(01*%<*=,-./-*=0;%/;-* !"#$%'()%"*#%*+,-./-*+01.2(.*3+456789*!"#$%"'()'*+,-."/0.%+1'23"45'46'7.89:89'/' ;8-,"$4351415,8:+#9' Dr. Ptr T. Gallaghr Astrphyscs Rsarch Grup Trnty Cllg Dubln :2;$-$(01*%

More information

PHASE 2 C 2.20 INTERIM GRADING PLAN EDGEWATER HEIGHTS WAY (PHASE 2) EDGEWATER HEIGHTS CITY OF MUSKEGO, WI SEE SHEET C 2.21 LEGEND O.L.

PHASE 2 C 2.20 INTERIM GRADING PLAN EDGEWATER HEIGHTS WAY (PHASE 2) EDGEWATER HEIGHTS CITY OF MUSKEGO, WI SEE SHEET C 2.21 LEGEND O.L. S SH C L 'Y' RACIN AVN U / C H AY S H I RH A RAIN NS: BASIN # N: LCA BY LAN & ARAY CNSULIN LLC N CBR,,, AN, NN-RAAY RAIN SHN SHUL B CNSIR INRIM AN RPRSNS H RAS HA H CNRACR SHUL LAV H SI HN RAIN IS FINISH

More information

828.^ 2 F r, Br n, nd t h. n, v n lth h th n l nd h d n r d t n v l l n th f v r x t p th l ft. n ll n n n f lt ll th t p n nt r f d pp nt nt nd, th t

828.^ 2 F r, Br n, nd t h. n, v n lth h th n l nd h d n r d t n v l l n th f v r x t p th l ft. n ll n n n f lt ll th t p n nt r f d pp nt nt nd, th t 2Â F b. Th h ph rd l nd r. l X. TH H PH RD L ND R. L X. F r, Br n, nd t h. B th ttr h ph rd. n th l f p t r l l nd, t t d t, n n t n, nt r rl r th n th n r l t f th f th th r l, nd d r b t t f nn r r pr

More information

Homework: Introduction to Motion

Homework: Introduction to Motion Homwork: Inroducon o Moon Dsanc vs. Tm Graphs Nam Prod Drcons: Answr h foowng qusons n h spacs provdd. 1. Wha do you do o cra a horzona n on a dsancm graph? 2. How do you wak o cra a sragh n ha sops up?

More information

More on FT. Lecture 10 4CT.5 3CT.3-5,7,8. BME 333 Biomedical Signals and Systems - J.Schesser

More on FT. Lecture 10 4CT.5 3CT.3-5,7,8. BME 333 Biomedical Signals and Systems - J.Schesser Mr n FT Lcur 4CT.5 3CT.3-5,7,8 BME 333 Bimdicl Signls nd Sysms - J.Schssr 43 Highr Ordr Diffrniin d y d x, m b Y b X N n M m N M n n n m m n m n d m d n m Y n d f n [ n ] F d M m bm m X N n n n n n m p

More information

4 4 N v b r t, 20 xpr n f th ll f th p p l t n p pr d. H ndr d nd th nd f t v L th n n f th pr v n f V ln, r dn nd l r thr n nt pr n, h r th ff r d nd

4 4 N v b r t, 20 xpr n f th ll f th p p l t n p pr d. H ndr d nd th nd f t v L th n n f th pr v n f V ln, r dn nd l r thr n nt pr n, h r th ff r d nd n r t d n 20 20 0 : 0 T P bl D n, l d t z d http:.h th tr t. r pd l 4 4 N v b r t, 20 xpr n f th ll f th p p l t n p pr d. H ndr d nd th nd f t v L th n n f th pr v n f V ln, r dn nd l r thr n nt pr n,

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

H NT Z N RT L 0 4 n f lt r h v d lt n r n, h p l," "Fl d nd fl d " ( n l d n l tr l t nt r t t n t nt t nt n fr n nl, th t l n r tr t nt. r d n f d rd n t th nd r nt r d t n th t th n r lth h v b n f

More information

Chap 2: Reliability and Availability Models

Chap 2: Reliability and Availability Models Chap : lably ad valably Modls lably = prob{s s fully fucog [,]} Suppos from [,] m prod, w masur ou of N compos, of whch N : # of compos oprag corrcly a m N f : # of compos whch hav fald a m rlably of h

More information

(heat loss divided by total enthalpy flux) is of the order of 8-16 times

(heat loss divided by total enthalpy flux) is of the order of 8-16 times 16.51, Rok Prolson Prof. Manl Marnz-Sanhz r 8: Convv Ha ransfr: Ohr Effs Ovrall Ha oss and Prforman Effs of Ha oss (1) Ovrall Ha oss h loal ha loss r n ara s q = ρ ( ) ngrad ha loss s a S, and sng m =

More information

Colby College Catalogue

Colby College Catalogue Colby College Digital Commons @ Colby Colby Catalogues College Archives: Colbiana Collection 1866 Colby College Catalogue 1866-1867 Colby College Follow this and additional works at: http://digitalcommons.colby.edu/catalogs

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

Dishonest casino as an HMM

Dishonest casino as an HMM Dshnes casn as an HMM N = 2, ={F,L} M=2, O = {h,} A = F B= [. F L F L 0.95 0.0 0] h 0.5 0. L 0.05 0.90 0.5 0.9 c Deva ubramanan, 2009 63 A generave mdel fr CpG slands There are w hdden saes: CpG and nn-cpg.

More information

46 D b r 4, 20 : p t n f r n b P l h tr p, pl t z r f r n. nd n th t n t d f t n th tr ht r t b f l n t, nd th ff r n b ttl t th r p rf l pp n nt n th

46 D b r 4, 20 : p t n f r n b P l h tr p, pl t z r f r n. nd n th t n t d f t n th tr ht r t b f l n t, nd th ff r n b ttl t th r p rf l pp n nt n th n r t d n 20 0 : T P bl D n, l d t z d http:.h th tr t. r pd l 46 D b r 4, 20 : p t n f r n b P l h tr p, pl t z r f r n. nd n th t n t d f t n th tr ht r t b f l n t, nd th ff r n b ttl t th r p rf l

More information

ADORO TE DEVOTE (Godhead Here in Hiding) te, stus bat mas, la te. in so non mor Je nunc. la in. tis. ne, su a. tum. tas: tur: tas: or: ni, ne, o:

ADORO TE DEVOTE (Godhead Here in Hiding) te, stus bat mas, la te. in so non mor Je nunc. la in. tis. ne, su a. tum. tas: tur: tas: or: ni, ne, o: R TE EVTE (dhd H Hdg) L / Mld Kbrd gú s v l m sl c m qu gs v nns V n P P rs l mul m d lud 7 súb Fí cón ví f f dó, cru gs,, j l f c r s m l qum t pr qud ct, us: ns,,,, cs, cut r l sns m / m fí hó sn sí

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

ELEN E4830 Digital Image Processing

ELEN E4830 Digital Image Processing ELEN E48 Dgal Imag Procssng Mrm Eamnaon Sprng Soluon Problm Quanzaon and Human Encodng r k u P u P u r r 6 6 6 6 5 6 4 8 8 4 P r 6 6 P r 4 8 8 6 8 4 r 8 4 8 4 7 8 r 6 6 6 6 P r 8 4 8 P r 6 6 8 5 P r /

More information

i;\-'i frz q > R>? >tr E*+ [S I z> N g> F 'x sa :r> >,9 T F >= = = I Y E H H>tr iir- g-i I * s I!,i --' - = a trx - H tnz rqx o >.F g< s Ire tr () -s

i;\-'i frz q > R>? >tr E*+ [S I z> N g> F 'x sa :r> >,9 T F >= = = I Y E H H>tr iir- g-i I * s I!,i --' - = a trx - H tnz rqx o >.F g< s Ire tr () -s 5 C /? >9 T > ; '. ; J ' ' J. \ ;\' \.> ). L; c\ u ( (J ) \ 1 ) : C ) (... >\ > 9 e!) T C). '1!\ /_ \ '\ ' > 9 C > 9.' \( T Z > 9 > 5 P + 9 9 ) :> : + (. \ z : ) z cf C : u 9 ( :!z! Z c (! $ f 1 :.1 f.

More information

Chain DOUBLE PITCH TYPE RS TYPE RS POLY-STEEL TYPE

Chain DOUBLE PITCH TYPE RS TYPE RS POLY-STEEL TYPE d Fr Flw OULE IC YE YE OLY-EEL YE Oubard wh d s (d ) s usd fr fr flw vya. Usually w srads ar usd h qupm. d s basd sadard rllr ha wh sd rllrs salld xdd ps. hr ar hr yps f bas ha: (1) ubl ph rllr ha wh sadard

More information

Vexilla regis prodeunt

Vexilla regis prodeunt Vl prt Vnnus Frn (530609) Cn Pir l Ru (c. 1452 151) pr t d,,, r, : mn m p V Qu Im Ar B spn gn sn dm D r p pl br Qu cr ns cn lc s c gt cr n l d r mm t l, cr v n fc 4 R p st d br qu r nt c t qu r r pn prd

More information

STA6E NO, LR. Council DeIegote Iouncit Seol. Dqte / / Re-centif. IounciI Delegote Iouncil Seol. Dqie. Sl-oging. This is noi o sionpd subdivision

STA6E NO, LR. Council DeIegote Iouncit Seol. Dqte / / Re-centif. IounciI Delegote Iouncil Seol. Dqie. Sl-oging. This is noi o sionpd subdivision S6, LR PL SBDVS ue ny D Pn umber PS5 4627 Lcqn Ln Pr PHLLP SLD 0WS wnp Secn rwn [[men 15(P, 16 & 17 rwn P e Reerence L Pn Reerence L PS524867K P re c me ubvn MG e n nnnv n n n n pn v01.1028 0L.85 SLM RD

More information

n r t d n :4 T P bl D n, l d t z d th tr t. r pd l

n r t d n :4 T P bl D n, l d t z d   th tr t. r pd l n r t d n 20 20 :4 T P bl D n, l d t z d http:.h th tr t. r pd l 2 0 x pt n f t v t, f f d, b th n nd th P r n h h, th r h v n t b n p d f r nt r. Th t v v d pr n, h v r, p n th pl v t r, d b p t r b R

More information

I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o

I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o I M P O R T A N T S A F E T Y I N S T R U C T I O N S W h e n u s i n g t h i s e l e c t r o n i c d e v i c e, b a s i c p r e c a u t i o n s s h o u l d a l w a y s b e t a k e n, i n c l u d f o l

More information

4 8 N v btr 20, 20 th r l f ff nt f l t. r t pl n f r th n tr t n f h h v lr d b n r d t, rd n t h h th t b t f l rd n t f th rld ll b n tr t d n R th

4 8 N v btr 20, 20 th r l f ff nt f l t. r t pl n f r th n tr t n f h h v lr d b n r d t, rd n t h h th t b t f l rd n t f th rld ll b n tr t d n R th n r t d n 20 2 :24 T P bl D n, l d t z d http:.h th tr t. r pd l 4 8 N v btr 20, 20 th r l f ff nt f l t. r t pl n f r th n tr t n f h h v lr d b n r d t, rd n t h h th t b t f l rd n t f th rld ll b n

More information

as nonrigid Carnot groups

as nonrigid Carnot groups Th Th Th V 5 5 34 356 V V crcc 5 c5 5 Hdr 5 34 356 Vr 34 dh 356 crcc-c 5 Hdr c Vr d Cr r c d Cr r c r c c r c 5 B Hdr Wrhr B Wrhr Vr Ccd b G cr Ccd b cr Abrc G c cr W d rdc r c d Cr hch Abrc r W d Cr rdc

More information

P a g e 3 6 of R e p o r t P B 4 / 0 9

P a g e 3 6 of R e p o r t P B 4 / 0 9 P a g e 3 6 of R e p o r t P B 4 / 0 9 p r o t e c t h um a n h e a l t h a n d p r o p e r t y fr om t h e d a n g e rs i n h e r e n t i n m i n i n g o p e r a t i o n s s u c h a s a q u a r r y. J

More information

English Made Easy: Foundation Book 1 Notes for parents

English Made Easy: Foundation Book 1 Notes for parents a nh Ma ay: Fnan 1 pan h b n hp y ch an ay an by cn n h n n ach h n h aphab. h h achn an ca phnc. h nan, achn an wn ac w nca y ch an h na ach, a w a h n n ach a an hw wn n h pa. y cpn h pa h b, y ch w

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

Integrated Optical Waveguides

Integrated Optical Waveguides Su Opls Faha Raa Cll Uvs Chap 8 Ia Opal Wavus 7 Dl Slab Wavus 7 Iu: A va f ff a pal wavus a us f a u lh a hp Th s bas pal wavu s a slab wavus shw blw Th suu s uf h - Lh s u s h b al al fl a h -la fas Cla

More information

Humanistic, and Particularly Classical, Studies as a Preparation for the Law

Humanistic, and Particularly Classical, Studies as a Preparation for the Law University of Michigan Law School University of Michigan Law School Scholarship Repository Articles Faculty Scholarship 1907 Humanistic, and Particularly Classical, Studies as a Preparation for the Law

More information

Lucas Test is based on Euler s theorem which states that if n is any integer and a is coprime to n, then a φ(n) 1modn.

Lucas Test is based on Euler s theorem which states that if n is any integer and a is coprime to n, then a φ(n) 1modn. Modul 10 Addtonal Topcs 10.1 Lctur 1 Prambl: Dtrmnng whthr a gvn ntgr s prm or compost s known as prmalty tstng. Thr ar prmalty tsts whch mrly tll us whthr a gvn ntgr s prm or not, wthout gvng us th factors

More information

tcvrn Hl1 J M Hamilton P Eng Chief Geologist Kimberley Northing m Northing m I FEB 24 1QP Northing m Gold Commiuioner

tcvrn Hl1 J M Hamilton P Eng Chief Geologist Kimberley Northing m Northing m I FEB 24 1QP Northing m Gold Commiuioner SVA M OMO TD KOOT GROP ASSSSMT RPORT KMBRY B Th fwn rpr dsrbs h rss f drn Dand Dr H K 8 4 a 8 r h D D H K 8 5 a 9 5 r h D D H K 8 5A a 67 38 r h D D H K 8 6 a 8 69 r h and D D H K 8 7 a 77 72 r h n h ana

More information

Chapter 8: Propagating Quantum States of Radiation

Chapter 8: Propagating Quantum States of Radiation Quum Opcs f hcs Oplccs h R Cll Us Chp 8: p Quum Ss f R 8. lcmc Ms Wu I hs chp w wll cs pp quum ss f wus fs f spc. Cs h u shw lw f lcc wu. W ssum h h wu hs l lh qul h -c wll ssum l. Th lcc cs s fuc f l

More information

SAMPLE LITANY OF THE SAINTS E/G. Dadd9/F. Aadd9. cy. Christ, have. Lord, have mer cy. Christ, have A/E. Dadd9. Aadd9/C Bm E. 1. Ma ry and. mer cy.

SAMPLE LITANY OF THE SAINTS E/G. Dadd9/F. Aadd9. cy. Christ, have. Lord, have mer cy. Christ, have A/E. Dadd9. Aadd9/C Bm E. 1. Ma ry and. mer cy. LTNY OF TH SNTS Cntrs Gnt flwng ( = c. 100) /G Ddd9/F ll Kybrd / hv Ddd9 hv hv Txt 1973, CL. ll rghts rsrvd. Usd wth prmssn. Musc: D. Bckr, b. 1953, 1987, D. Bckr. Publshd by OCP. ll rghts rsrvd. SMPL

More information

w m -,. t o o p f 0. p 0 we , 44-4 c , 0 0 k 1 0 P ) TIC 0 0 PAM Sc.._ a4C44 IsaA.r a.% Oc Or

w m -,. t o o p f 0. p 0 we , 44-4 c , 0 0 k 1 0 P ) TIC 0 0 PAM Sc.._ a4C44 IsaA.r a.% Oc Or S5 l M V5 a 3 3 c a c = 5 ( 5 V 3 J 5 5 5 9 3 p Sx= 5 b S 53 5 8 nmkcc 3G v l a c c w m p f p 5 + 3 + M3 3 5 aca =(M% ccwfv v 5 ac 3 c5ca calavaa w 55 c k 5) 29 5 3 5 3Z`c= calsa c (MM S 3 5 5 3 8 5 G

More information

Th n nt T p n n th V ll f x Th r h l l r r h nd xpl r t n rr d nt ff t b Pr f r ll N v n d r n th r 8 l t p t, n z n l n n th n rth t rn p rt n f th v

Th n nt T p n n th V ll f x Th r h l l r r h nd xpl r t n rr d nt ff t b Pr f r ll N v n d r n th r 8 l t p t, n z n l n n th n rth t rn p rt n f th v Th n nt T p n n th V ll f x Th r h l l r r h nd xpl r t n rr d nt ff t b Pr f r ll N v n d r n th r 8 l t p t, n z n l n n th n rth t rn p rt n f th v ll f x, h v nd d pr v n t fr tf l t th f nt r n r

More information

9.5 Complex variables

9.5 Complex variables 9.5 Cmpl varabls. Cnsdr th funtn u v f( ) whr ( ) ( ), f( ), fr ths funtn tw statmnts ar as fllws: Statmnt : f( ) satsf Cauh mann quatn at th rgn. Statmnt : f ( ) ds nt st Th rrt statmnt ar (A) nl (B)

More information

V A. V-A ansatz for fundamental fermions

V A. V-A ansatz for fundamental fermions Avan Parl Phy: I. ak nraon. A Thory Carfl analy of xprnal aa (pary volaon, nrno hly pn hang n nlar β-ay, on ay propr oghr w/ nvraly fnally l o h -A hory of (nlar wak ay: M A A ( ( ( ( v p A n nlon lpon

More information

88 N L Lö. r : n, d p t. B, DBB 644 6, RD., D z. 0, DBB 4 8 z h. D z : b n, v tt, b t b n r, p d, t n t. B, BB z. 0, DBB 4 8 z D. t n F hl r ff, nn R,

88 N L Lö. r : n, d p t. B, DBB 644 6, RD., D z. 0, DBB 4 8 z h. D z : b n, v tt, b t b n r, p d, t n t. B, BB z. 0, DBB 4 8 z D. t n F hl r ff, nn R, L x l h z ll n. V n n l Lö.. nn.. L RD h t t 40 für n r ( n r. B r 22, bb b 8 h r t llt. D nd t n rd d r h L länz nd b tät t: r b r ht t, d L x x n ht n r h nd hr ftl h b z t, nd rn h d r h ündl h h ltr

More information

Lecture 20. Transmission Lines: The Basics

Lecture 20. Transmission Lines: The Basics Lcu 0 Tansmissin Lins: Th Basics n his lcu u will lan: Tansmissin lins Diffn ps f ansmissin lin sucus Tansmissin lin quains Pw flw in ansmissin lins Appndi C 303 Fall 006 Fahan Rana Cnll Univsi Guidd Wavs

More information

N V R T F L F RN P BL T N B ll t n f th D p rt nt f l V l., N., pp NDR. L N, d t r T N P F F L T RTL FR R N. B. P. H. Th t t d n t r n h r d r

N V R T F L F RN P BL T N B ll t n f th D p rt nt f l V l., N., pp NDR. L N, d t r T N P F F L T RTL FR R N. B. P. H. Th t t d n t r n h r d r n r t d n 20 2 04 2 :0 T http: hdl.h ndl.n t 202 dp. 0 02 000 N V R T F L F RN P BL T N B ll t n f th D p rt nt f l V l., N., pp. 2 24. NDR. L N, d t r T N P F F L T RTL FR R N. B. P. H. Th t t d n t r

More information

Txe Evor-urroN of THE Supneme Belna

Txe Evor-urroN of THE Supneme Belna Tx vrurrn TH Supnm Bln "Th Suprm Bing did n cr [Brrr bu mn rs lirlly crd u f, his vry lif rs drivd frm, h pniliy f h Suprn. Nr ds h vlv mni y is h Suprn hinslf h vry ssnc f vluin. rn h flni sndpin, w cly

More information

Wave Phenomena Physics 15c

Wave Phenomena Physics 15c Wv hnon hyscs 5c cur 4 Coupl Oscllors! H& con 4. Wh W D s T " u forc oscllon " olv h quon of oon wh frcon n foun h sy-s soluon " Oscllon bcos lr nr h rsonnc frquncy " hs chns fro 0 π/ π s h frquncy ncrss

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

Domine Dominus Noster Motetto a V voci

Domine Dominus Noster Motetto a V voci Dn Dns Nstr Mttt V vc And Gbrl (c. 1533-155) Prm Prs O Lrd r Lrd, hw dbl s thy n th whl rth! Fr thy mgfcnc s lvtd bv th hvns. Ot f th mth f fnts nd f cklgs th hst prfctd ps, bcs f thy ns, tht th ght dstry

More information

ards tifferkuiitat ED C BOWE House and Sign Painter Paper Hancr etc Silr Xo 1W King Slrset Ilonolnln S VJI JOIBS Morolaant Tailor

ards tifferkuiitat ED C BOWE House and Sign Painter Paper Hancr etc Silr Xo 1W King Slrset Ilonolnln S VJI JOIBS Morolaant Tailor RR R FD5 D b70 z x 25 27 b p b b pp g p p p b p b b p b p b 3 p p N b x p p b p 6 F R 2g g b p ppg g p b gg p 270 Z p 0 p g p p p b R 60 g pb 25 p bg p pp p g g g g xpg p 6 b b pp g g g p g p p g p p b

More information

Lecture 4 : Backpropagation Algorithm. Prof. Seul Jung ( Intelligent Systems and Emotional Engineering Laboratory) Chungnam National University

Lecture 4 : Backpropagation Algorithm. Prof. Seul Jung ( Intelligent Systems and Emotional Engineering Laboratory) Chungnam National University Lcur 4 : Bacpropagaon Algorhm Pro. Sul Jung Inllgn Sm and moonal ngnrng Laboraor Chungnam Naonal Unvr Inroducon o Bacpropagaon algorhm 969 Mn and Papr aac. 980 Parr and Wrbo dcovrd bac propagaon algorhm.

More information

n

n p l p bl t n t t f Fl r d, D p rt nt f N t r l R r, D v n f nt r r R r, B r f l. n.24 80 T ll h, Fl. : Fl r d D p rt nt f N t r l R r, B r f l, 86. http://hdl.handle.net/2027/mdp.39015007497111 r t v n

More information

T h e C S E T I P r o j e c t

T h e C S E T I P r o j e c t T h e P r o j e c t T H E P R O J E C T T A B L E O F C O N T E N T S A r t i c l e P a g e C o m p r e h e n s i v e A s s es s m e n t o f t h e U F O / E T I P h e n o m e n o n M a y 1 9 9 1 1 E T

More information

Mathematical Statistics. Chapter VIII Sampling Distributions and the Central Limit Theorem

Mathematical Statistics. Chapter VIII Sampling Distributions and the Central Limit Theorem Mahmacal ascs 8 Chapr VIII amplg Dsrbos ad h Cral Lm Thorm Fcos of radom arabls ar sall of rs sascal applcao Cosdr a s of obsrabl radom arabls L For ampl sppos h arabls ar a radom sampl of s from a poplao

More information

- Double consonant - Wordsearch 3

- Double consonant - Wordsearch 3 Wh 3 Kn, Kn. Wh' h? Hpp. Hpp h? Hpp hy yu, Hpp hy yu! A h f h pg f. Th hn n h pu. Th h n p hny (ng ) y (ng n). Whn yu fn, n un. p n q q h y f h u g h q g u g u n g n g n q x p g h u n g u n y p f f n u

More information

Emigration The movement of individuals out of an area The population decreases

Emigration The movement of individuals out of an area The population decreases Nm Clss D C 5 Puls S 5 1 Hw Puls Gw (s 119 123) Ts s fs ss us sb ul. I ls sbs fs ff ul sz xls w xl w ls w. Css f Puls ( 119) 1. W fu m ss f ul?. G sbu. Gw b. Ds. A suu 2. W s ul s sbu? I s b b ul. 3. A

More information

.Jl J) NEW CONT ... .Jl. 111.Jl. .Jl. .Jl '-- ' \ \ \ \ \ \ \ \ \ \ ..:.. "'.Jl+

.Jl J) NEW CONT ... .Jl. 111.Jl. .Jl. .Jl '-- ' \ \ \ \ \ \ \ \ \ \ ..:.. '.Jl+ J),,,,,.1.J). o,o.t.. l,. tf o )1.) () o,. co :. ; u : f 1:, :coolll!ii o i!i{; J 1 D ;3:c b>,. o, 1:x o =P P ll u )> {;e!g o:uffl:x : fdl :!fflr!ii P Z e o :1li ( 1 x :x c o o,!lll f P nl1 iii 8:l ::x.

More information

PRELIMINARY DEFINITIONS AND RELATIONS

PRELIMINARY DEFINITIONS AND RELATIONS Prliinary Dfiniions and Rlaions 1 CHAPTER 2 PRELIMINARY DEFINITIONS AND RELATIONS يتكون حجم معيه مه التربة مه حبيبات صلببة هولواو هملاو اميلاي جوفيللة أه ميللاي (.للصدر همقلل ) ال للو فللي التربللة وللو

More information

CHAPTER 9. Compressible Flow. Btu ft-lb lbm ft-lb c p = = ft-lb slug- R. slug- R. 1 k. p p. p v p v. = ρ ρ

CHAPTER 9. Compressible Flow. Btu ft-lb lbm ft-lb c p = = ft-lb slug- R. slug- R. 1 k. p p. p v p v. = ρ ρ CHPTER 9 Cmrssibl Flw 9 Bu f-lb lbm f-lb c 778 6 lbm- R Bu slug slug- R f-lb cv c R 6 76 96 96 slug- R Bu 7 lbm R f-lb slug- R Bu 778 f - lb slug lbm c 9 c cv + R c cv c + R r c R c R / ( ) 9 If s, Eq

More information

Learning All About. Mary. Creative. Communications. Sample

Learning All About. Mary. Creative. Communications. Sample Larnng All Abu Mary Hal Mary... Yu v prbably hard hs wrds a l. Mayb yu say hs prayr. Bu hav yu vr wndrd why w say? Wha abu all h sngs, saus and fas days ddcad Mary? Why d w hnr Mary s much? Frs, hnk abu

More information

EQUATION SHEETS FOR ELEC

EQUATION SHEETS FOR ELEC QUTON SHTS FO C 47 Fbuay 7 QUTON SHTS FO C 47 Fbuay 7 hs hυ h ω ( J ) h.4 ω υ ( µ ) ( ) h h k π υ ε ( / s ) G Os (Us > x < a ) Sll s aw s s s Shal z z Shal buay (, aus ) z y y z z z Shal ls ( s sua, s

More information

FOR MORE PAPERS LOGON TO

FOR MORE PAPERS LOGON TO IT430 - E-Commerce Quesion No: 1 ( Marks: 1 )- Please choose one MAC sand for M d a A ss Conro a M d a A ss Consor M r of As an Co n on of s Quesion No: 2 ( Marks: 1 )- Please choose one C oos orr HTML

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

Use 10 m/s 2 for the acceleration due to gravity.

Use 10 m/s 2 for the acceleration due to gravity. ANSWERS Prjecle mn s he ecrl sum w ndependen elces, hrznl cmpnen nd ercl cmpnen. The hrznl cmpnen elcy s cnsn hrughu he mn whle he ercl cmpnen elcy s dencl ree ll. The cul r nsnneus elcy ny pn lng he prblc

More information

INTERQUARTILE RANGE. I can calculate variabilityinterquartile Range and Mean. Absolute Deviation

INTERQUARTILE RANGE. I can calculate variabilityinterquartile Range and Mean. Absolute Deviation INTERQUARTILE RANGE I cn clcul vribiliyinrquril Rng nd Mn Absolu Dviion 1. Wh is h grs common fcor of 27 nd 36?. b. c. d. 9 3 6 4. b. c. d.! 3. Us h grs common fcor o simplify h frcion!".!". b. c. d.

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

Th pr nt n f r n th f ft nth nt r b R b rt Pr t r. Pr t r, R b rt, b. 868. xf rd : Pr nt d f r th B bl r ph l t t th xf rd n v r t Pr, 00. http://hdl.handle.net/2027/nyp.33433006349173 P bl D n n th n

More information

² Ý ² ª ² Þ ² Þ Ң Þ ² Þ. ² à INTROIT. huc. per. xi, sti. su- sur. sum, cum. ia : ia, ia : am, num. VR Mi. est. lis. sci. ia, cta. ia.

² Ý ² ª ² Þ ² Þ Ң Þ ² Þ. ² à INTROIT. huc. per. xi, sti. su- sur. sum, cum. ia : ia, ia : am, num. VR Mi. est. lis. sci. ia, cta. ia. str Dy Ps. 138 R 7 r r x, t huc t m m, l : p - í pr m m num m, l l : VR M rá s f ct st sc n -, l l -. Rpt nphn s fr s VR ftr ch vrs Ps. 1. D n, pr bá m, t c g ví m : c g ví ss s nm m m, t r r r c nm m

More information

Chapter 7 Stead St y- ate Errors

Chapter 7 Stead St y- ate Errors Char 7 Say-Sa rror Inroucon Conrol ym analy an gn cfcaon a. rann ron b. Sably c. Say-a rror fnon of ay-a rror : u c a whr u : nu, c: ouu Val only for abl ym chck ym ably fr! nu for ay-a a nu analy U o

More information

Thank You! $20,000+ Anonymous

Thank You! $20,000+ Anonymous T D $20,000+ Ay $10,000+ Fll Fly Cbl T Ew & S Vbl $5,000+ Ay M. & M. T Fll M. Fl H. Hwz D. & M. G A. Ky $2,500+ M. Plp J. Bly, III J & Klly Bzly S T. & My C. Fll Mk & E G R Hy Jy & Ell Jll Fly Ly F Cy

More information

SPACE TYPES & REQUIREMENTS

SPACE TYPES & REQUIREMENTS SPACE TYPES & REQUIREENTS 2 Fby 2012 Gys Sh Typ: K E H 1 2 3 5 6 7 8 9 10 11 12 Ajy D (Hh Sh) F A Dsps Th fs f phys hs vv sps f h hhy fsy f vs. Phys s hf w fss wss hh vy hy-bs s f hhy fsy hs. Gy sps sh

More information

Ash Wednesday. First Introit thing. * Dómi- nos. di- di- nos, tú- ré- spi- Ps. ne. Dó- mi- Sál- vum. intra-vé-runt. Gló- ri-

Ash Wednesday. First Introit thing. * Dómi- nos. di- di- nos, tú- ré- spi- Ps. ne. Dó- mi- Sál- vum. intra-vé-runt. Gló- ri- sh Wdsdy 7 gn mult- tú- st Frst Intrt thng X-áud m. ns ní- m-sr-cór- Ps. -qu Ptr - m- Sál- vum m * usqu 1 d fc á-rum sp- m-sr-t- ó- num Gló- r- Fí- l- Sp-rí- : quó-n- m ntr-vé-runt á- n-mm c * m- quó-n-

More information

CH 61 USING THE GCF IN EQUATIONS AND FORMULAS

CH 61 USING THE GCF IN EQUATIONS AND FORMULAS CH 61 USING THE GCF IN EQUATIONS AND FORMULAS Introduction A while back we studied the Quadratic Formula and used it to solve quadratic equations such as x 5x + 6 = 0; we were also able to solve rectangle

More information

MAE 545: Lecture 4 (9/29) Statistical mechanics of proteins

MAE 545: Lecture 4 (9/29) Statistical mechanics of proteins MAE 545: Lecture 4 (9/29) Statistical mechanics of proteins Ideal freely jointed chain N identical unstretchable links (Kuhn segments) of length a with freely rotating joints ~r 2 a ~r ~R ~r N In first

More information

PR D NT N n TR T F R 6 pr l 8 Th Pr d nt Th h t H h n t n, D D r r. Pr d nt: n J n r f th r d t r v th tr t d rn z t n pr r f th n t d t t. n

PR D NT N n TR T F R 6 pr l 8 Th Pr d nt Th h t H h n t n, D D r r. Pr d nt: n J n r f th r d t r v th tr t d rn z t n pr r f th n t d t t. n R P RT F TH PR D NT N N TR T F R N V R T F NN T V D 0 0 : R PR P R JT..P.. D 2 PR L 8 8 J PR D NT N n TR T F R 6 pr l 8 Th Pr d nt Th h t H h n t n, D.. 20 00 D r r. Pr d nt: n J n r f th r d t r v th

More information

elnpol^l SSJU (tl = N) gnot

elnpol^l SSJU (tl = N) gnot ZZ'Uap 66-' S fbul - alnph lluuur!^u SSf, psnu '6 ajns ' l/mu) l,u l fuan 's 'b rll ' p9 'z p6 ua ' "'s pr.u6lu rna u! 6url6ll l4s a11 ap]sap na plnm'6lu l bulm ll psnu aln5 11r1/vu) l,u lusl ll l p usal

More information

On corrections of classical multivariate tests for high-dimensional data. Jian-feng. Yao Université de Rennes 1, IRMAR

On corrections of classical multivariate tests for high-dimensional data. Jian-feng. Yao Université de Rennes 1, IRMAR Introduction a two sample problem Marčenko-Pastur distributions and one-sample problems Random Fisher matrices and two-sample problems Testing cova On corrections of classical multivariate tests for high-dimensional

More information

8-node quadrilateral element. Numerical integration

8-node quadrilateral element. Numerical integration Fnt Elmnt Mthod lctur nots _nod quadrlatral lmnt Pag of 0 -nod quadrlatral lmnt. Numrcal ntgraton h tchnqu usd for th formulaton of th lnar trangl can b formall tndd to construct quadrlatral lmnts as wll

More information

Vertical Sound Waves

Vertical Sound Waves Vral Sond Wavs On an drv h formla for hs avs by onsdrn drly h vral omonn of momnm qaon hrmodynam qaon and h onny qaon from 5 and hn follon h rrbaon mhod and assmn h snsodal solons. Effvly h frs ro and

More information

THIS PAGE DECLASSIFIED IAW EO IRIS u blic Record. Key I fo mation. Ma n: AIR MATERIEL COMM ND. Adm ni trative Mar ings.

THIS PAGE DECLASSIFIED IAW EO IRIS u blic Record. Key I fo mation. Ma n: AIR MATERIEL COMM ND. Adm ni trative Mar ings. T H S PA G E D E CLA SSFED AW E O 2958 RS u blc Recod Key fo maon Ma n AR MATEREL COMM ND D cumen Type Call N u b e 03 V 7 Rcvd Rel 98 / 0 ndexe D 38 Eneed Dae RS l umbe 0 0 4 2 3 5 6 C D QC d Dac A cesson

More information

D t r l f r th n t d t t pr p r d b th t ff f th l t tt n N tr t n nd H n N d, n t d t t n t. n t d t t. h n t n :.. vt. Pr nt. ff.,. http://hdl.handle.net/2027/uiug.30112023368936 P bl D n, l d t z d

More information

8. Queueing systems. Contents. Simple teletraffic model. Pure queueing system

8. Queueing systems. Contents. Simple teletraffic model. Pure queueing system 8. Quug sysms Cos 8. Quug sysms Rfrshr: Sml lraffc modl Quug dscl M/M/ srvr wag lacs Alcao o ack lvl modllg of daa raffc M/M/ srvrs wag lacs lc8. S-38.45 Iroduco o Tlraffc Thory Srg 5 8. Quug sysms 8.

More information

1. Accident preve. 3. First aid kit ess 4. ABCs of life do. 6. Practice a Build a pasta sk

1. Accident preve. 3. First aid kit ess 4. ABCs of life do. 6. Practice a Build a pasta sk Y M D B D K P S V P U D hi p r ub g rup ck l yu cn 7 r, f r i y un civi i u ir r ub c fr ll y u n rgncy i un pg 3-9 bg i pr hich. ff c cn b ll p i f h grup r b n n c rk ivii ru gh g r! i pck? i i rup civ

More information