dm dt = 1 V The number of moles in any volume is M = CV, where C = concentration in M/L V = liters. dcv v

Size: px
Start display at page:

Download "dm dt = 1 V The number of moles in any volume is M = CV, where C = concentration in M/L V = liters. dcv v"

Transcription

1 Mg: Pcess Aalyss: Reac ae s defed as whee eac ae elcy lue M les ( ccea) e. dm he ube f les ay lue s M, whee ccea M/L les. he he eac ae beces f a hgeeus eac, ( ) d Usually s csa aqueus eeal pcesses eac, s whch ca be -. Reacs ay ly ccu he suface (heegeeus); he, whee A S suface aea. F a eac: R pp dr p dp d, A S dm Sce hese eacas eac la bass (ccea): les R eed p les P (la bass): ( ) dx, ( ) dp ( ) dr p whee ceffce, whch eas ccea chages ae always:

2 X la ccea. We hae aleady see, whch says he ae f eac s ppal he au f aalable eac (Fs Ode). sle f :, peusly dm, s beces dm. hs s ly f fs de eac ad has us e -. Le L l L S e -. dm l e dm l L L le e epeaue epeaue wll affec. F EES 4 (hecal Pcesses l): whee A csa E aca eegy R gas csa epeaue Kel Ad l( ) l( A) Ae E R E, whch sles: R,

3 whee E E dl( ) ( ) R R E d R d E l( ) R E E l( ) l( ) R R E ( ) l R E R des ay ce ae defed. he, ( ) ' ( ) ( ) e whee has bee defed as.4 f ay applcas bu s suffce hee ae p ha a fs de ay be deeed f a a e epeaue s w ad he he epeaue s specfed. plee M Ms eacs B-Eeal Pcesses ae eesble ad deled as fs de: R P dr Sles RR e Mass Balaces ae equed f ay pcess aalyss as a f(): IN OU hages whee chages ae ypcally gwh, deah, accuula, ec. cpleely ed Flw, c., Flw, c., lue

4 F ay speces wh : IN OU A Decay Reac d d Ne: pleely Med a ccea s sae eeywhee. Us: L h, g L, L, d g L h L h g h g L g h L h g L g L h h g L ( L) ( L) Ne: ge ass us egae e e, ad h - Slg -seady sae: IN OU A Decay Reac d Reaagg ( ) F d dy y K Slu y ye K e Mapula d e e ( ) ( ) 4

5 A : Oupu ccea s fuc f ae csa ad dee e f fs de eac -- l f gwh eac? Ms hae se dea abu g: Mg Mdels: ype () Plug Flw ype () plee M ype () bas ype () ad () Plug Flw: Pcue a lg ppe: Obusly, ey lle ee f ay lecules ecep he dec. Mass Balace: IN - OU Accuula (eglec ulza, gwh, ec.) d Aeage IN OU chage f wh espec ly X he dec α α d α d α α d d α 5

6 f (Dea f al ad fal sae) α d α α bu A, whee d sae scale α α d Ad α α α α α s ly e ly f α α α α whch sply eas plug flw eas hee s NO chage wh e bewee pu ad upu. A spe wuld appea wh e as c. / wh ze g ly asla. plee M: A cpleely ed a eas ha ce a chage (dye) s pu a a, g ccus saaeusly ad he ccea s equal a all ps he a. Oe.M. a: M cpleely ed whee flw M les (ass) lue M a a all ps s ey slu 6

7 Mass Balace, a : IN - OU Accuula d ( ) d, csa - M d (N eac, ly g) l M f.m..: M e (.e.) Pl as f(): M/ M/(.7) e Wha s s pbable f ay lecule f slug M? H.: Whch slce f wuld be lages? Mulple plee M Reacs D f as: 7

8 (a) We wll hadle lues a facs f al (b) I s sla fee-bdy daga Mass Balace : ( ) d As befe: M e M (a ) ( ) d d ( ) d M e Reaagg: d M e F: dy d Py whee P M ad e Slu: y e Pd e Pd 8

9 e M e M e e hs slu beces f.m..: M e! ( ) ().. θ / Wha wuld yeld f esus θ? Resdece e: hape 9 -- begg 9..4 wha wuld cues l le f () / esus θ. We w ca pedc efflue ccea f ehe plug flw cpleely ed dels as a fuc f e. sdeg a eac f M as: Mass Balace: IN - OU Accuula Decay Reac d hs equa was sled f as: e e Leg : e e 9

10 A, f seady sae slu whee d : F as: whch ges fac ulza f,, ad. Decay F Ne: () F cease, us be egae. () Reebe f s egae eas educ f. If s pse eas pduc f. F s ppse fs glace. F plug flw wh eac a seady sae: IN OU Reac (Decay) Accuula Splfes α α α α dd d α α d d d α ( ) α α Neglecg secd de us α d d α

11 d d A d d e L a deee equed f ge % eal: ay ube f as Ne: whch wll sle ehe f s ge. Say w as sees wh dffee lue,, ad wh decay eac: Mass Balace a seady sae: 4 4 Peus equa Plug Flw wh eac s sple fs de slu (deal eae),,, /4 /4 /

12 Mass Balace a seady sae: sdeg w as wh decay eac cludg ecycle wh uequal lues, :, q, q, (/) (/) Mass Balace a seady sae: IN OU q ( q) q q q q whee q ecycle a Mass Balace a seady sae:

13 ( ) ( ) q q q q q q q q q q

β A Constant-G m Biasing

β A Constant-G m Biasing p 2002 EE 532 Anal IC Des II Pae 73 Cnsan-G Bas ecall ha us a PTAT cuen efeence (see p f p. 66 he nes) bas a bpla anss pes cnsan anscnucance e epeaue (an als epenen f supply lae an pcess). Hw h we achee

More information

Lecture 4. Electrons and Holes in Semiconductors

Lecture 4. Electrons and Holes in Semiconductors ecue 4 lec ad Hle i Semicduc I hi lecue yu will lea: eeai-ecmbiai i emicduc i me deail The baic e f euai gveig he behavi f elec ad hle i emicduc Shcley uai Quai-eualiy i cducive maeial C 35 Sig 2005 Faha

More information

district department or positionnumber e fa Vr Ar 4 tj qj home phone tut t ounty Elections Official of Filing of Candidacy by Decleration ORS

district department or positionnumber e fa Vr Ar 4 tj qj home phone tut t ounty Elections Official of Filing of Candidacy by Decleration ORS F f ddy f p SEL ev 6 RS 49 h f e f pub ed d y be pubhed epdued p e ype peby bk k ub f ffe fude dde e 4v4L 6 hw e hud ppe b e e u fx b 7 f AUS p d dep pube e fa f Pde V A 4 q k 6 S4 8 W9 f ede 4 9f e L

More information

Lecture 4. Electrons and Holes in Semiconductors

Lecture 4. Electrons and Holes in Semiconductors Lecue 4 lec ad Hle i Semicduc I hi lecue yu will lea: Geeai-ecmbiai i emicduc i me deail The baic e f euai gveig he behavi f elec ad hle i emicduc Shckley uai Quai-eualiy i cducive maeial C 35 Sig 2005

More information

Square law expression is non linear between I D and V GS. Need to operate in appropriate region for linear behaviour. W L

Square law expression is non linear between I D and V GS. Need to operate in appropriate region for linear behaviour. W L MOS Feld-Effec Trassrs (MOSFETs ecure # 4 MOSFET as a Amplfer k ( S Square law express s lear bewee ad. Need perae apprprae reg fr lear behaur. Cpyrgh 004 by Oxfrd Uersy Press, c. MOSFET as a Amplfer S

More information

EMA5001 Lecture 3 Steady State & Nonsteady State Diffusion - Fick s 2 nd Law & Solutions

EMA5001 Lecture 3 Steady State & Nonsteady State Diffusion - Fick s 2 nd Law & Solutions EMA5 Lecue 3 Seady Sae & Noseady Sae ffuso - Fck s d Law & Soluos EMA 5 Physcal Popees of Maeals Zhe heg (6) 3 Noseady Sae ff Fck s d Law Seady-Sae ffuso Seady Sae Seady Sae = Equlbum? No! Smlay: Sae fuco

More information

_ J.. C C A 551NED. - n R ' ' t i :. t ; . b c c : : I I .., I AS IEC. r '2 5? 9

_ J.. C C A 551NED. - n R ' ' t i :. t ; . b c c : : I I .., I AS IEC. r '2 5? 9 C C A 55NED n R 5 0 9 b c c \ { s AS EC 2 5? 9 Con 0 \ 0265 o + s ^! 4 y!! {! w Y n < R > s s = ~ C c [ + * c n j R c C / e A / = + j ) d /! Y 6 ] s v * ^ / ) v } > { ± n S = S w c s y c C { ~! > R = n

More information

6. Cascode Amplifiers and Cascode Current Mirrors

6. Cascode Amplifiers and Cascode Current Mirrors 6. Cascde plfes and Cascde Cuent Ms Seda & Sth Sec. 7 (MOS ptn (S&S 5 th Ed: Sec. 6 MOS ptn & ne fequency espnse ECE 0, Fall 0, F. Najabad Cascde aplfe s a ppula buldn blck f ICs Cascde Cnfuatn CG stae

More information

The Buck Resonant Converter

The Buck Resonant Converter EE646 Pwer Elecrnics Chaper 6 ecure Dr. Sam Abdel-Rahman The Buck Resnan Cnverer Replacg he swich by he resnan-ype swich, ba a quasi-resnan PWM buck cnverer can be shwn ha here are fur mdes f pera under

More information

Continuous Time Markov Chains

Continuous Time Markov Chains Couous me Markov chas have seay sae probably soluos f a oly f hey are ergoc, us lke scree me Markov chas. Fg he seay sae probably vecor for a couous me Markov cha s o more ffcul ha s he scree me case,

More information

Lecture 3 summary. C4 Lecture 3 - Jim Libby 1

Lecture 3 summary. C4 Lecture 3 - Jim Libby 1 Lecue su Fes of efeece Ivce ude sfoos oo of H wve fuco: d-fucos Eple: e e - µ µ - Agul oeu s oo geeo Eule gles Geec slos cosevo lws d Noehe s heoe C4 Lecue - Lbb Fes of efeece Cosde fe of efeece O whch

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

APPLICATION OF A Z-TRANSFORMS METHOD FOR INVESTIGATION OF MARKOV G-NETWORKS

APPLICATION OF A Z-TRANSFORMS METHOD FOR INVESTIGATION OF MARKOV G-NETWORKS Joa of Aed Mahema ad Comaoa Meha 4 3( 6-73 APPLCATON OF A Z-TRANSFORMS METHOD FOR NVESTGATON OF MARKOV G-NETWORKS Mha Maay Vo Nameo e of Mahema Ceohowa Uey of Tehoogy Cęohowa Poad Fay of Mahema ad Come

More information

ANSWERS TO ODD NUMBERED EXERCISES IN CHAPTER 2

ANSWERS TO ODD NUMBERED EXERCISES IN CHAPTER 2 Joh Rley Novembe ANSWERS O ODD NUMBERED EXERCISES IN CHAPER Seo Eese -: asvy (a) Se y ad y z follows fom asvy ha z Ehe z o z We suppose he lae ad seek a oado he z Se y follows by asvy ha z y Bu hs oads

More information

Technical Appendix for Inventory Management for an Assembly System with Product or Component Returns, DeCroix and Zipkin, Management Science 2005.

Technical Appendix for Inventory Management for an Assembly System with Product or Component Returns, DeCroix and Zipkin, Management Science 2005. Techc Appedx fo Iveoy geme fo Assemy Sysem wh Poduc o Compoe eus ecox d Zp geme Scece 2005 Lemm µ µ s c Poof If J d µ > µ he ˆ 0 µ µ µ µ µ µ µ µ Sm gumes essh he esu f µ ˆ > µ > µ > µ o K ˆ If J he so

More information

Notes on Inductance and Circuit Transients Joe Wolfe, Physics UNSW. Circuits with R and C. τ = RC = time constant

Notes on Inductance and Circuit Transients Joe Wolfe, Physics UNSW. Circuits with R and C. τ = RC = time constant Nes n Inducance and cu Tansens Je Wlfe, Physcs UNSW cus wh and - Wha happens when yu clse he swch? (clse swch a 0) - uen flws ff capac, s d Acss capac: Acss ess: c d s d d ln + cns. 0, ln cns. ln ln ln

More information

( t) Steady Shear Flow Material Functions. Material function definitions. How do we predict material functions?

( t) Steady Shear Flow Material Functions. Material function definitions. How do we predict material functions? Rle f aeial Funins in Rhelgial Analysis Rle f aeial Funins in Rhelgial Analysis QUALIY CONROL QUALIAIVE ANALYSIS QUALIY CONROL QUALIAIVE ANALYSIS mpae wih he in-huse daa n qualiaive basis unknwn maeial

More information

The Poisson Process Properties of the Poisson Process

The Poisson Process Properties of the Poisson Process Posso Processes Summary The Posso Process Properes of he Posso Process Ierarrval mes Memoryless propery ad he resdual lfeme paradox Superposo of Posso processes Radom seleco of Posso Pos Bulk Arrvals ad

More information

CS344: Introduction to Artificial Intelligence

CS344: Introduction to Artificial Intelligence C344: Iroduco o Arfcal Iellgece Puhpa Bhaacharyya CE Dep. IIT Bombay Lecure 3 3 32 33: Forward ad bacward; Baum elch 9 h ad 2 March ad 2 d Aprl 203 Lecure 27 28 29 were o EM; dae 2 h March o 8 h March

More information

Neutron Slowing Down Distances and Times in Hydrogenous Materials. Erin Boyd May 10, 2005

Neutron Slowing Down Distances and Times in Hydrogenous Materials. Erin Boyd May 10, 2005 Neu Slwig Dw Disaces ad Times i Hydgeus Maeials i Byd May 0 005 Oulie Backgud / Lecue Maeial Neu Slwig Dw quai Flux behavi i hydgeus medium Femi eame f calculaig slwig dw disaces ad imes. Bief deivai f

More information

Maximum likelihood estimate of phylogeny. BIOL 495S/ CS 490B/ MATH 490B/ STAT 490B Introduction to Bioinformatics April 24, 2002

Maximum likelihood estimate of phylogeny. BIOL 495S/ CS 490B/ MATH 490B/ STAT 490B Introduction to Bioinformatics April 24, 2002 Mmm lkelhood eme of phylogey BIO 9S/ S 90B/ MH 90B/ S 90B Iodco o Bofomc pl 00 Ovevew of he pobblc ppoch o phylogey o k ee ccodg o he lkelhood d ee whee d e e of eqece d ee by ee wh leve fo he eqece. he

More information

2. The units in which the rate of a chemical reaction in solution is measured are (could be); 4rate. sec L.sec

2. The units in which the rate of a chemical reaction in solution is measured are (could be); 4rate. sec L.sec Kineic Pblem Fm Ramnd F. X. Williams. Accding he equain, NO(g + B (g NOB(g In a ceain eacin miue he ae f fmain f NOB(g was fund be 4.50 0-4 ml L - s -. Wha is he ae f cnsumpin f B (g, als in ml L - s -?

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

Parts Manual. EPIC II Critical Care Bed REF 2031

Parts Manual. EPIC II Critical Care Bed REF 2031 EPIC II Critical Care Bed REF 2031 Parts Manual For parts or technical assistance call: USA: 1-800-327-0770 2013/05 B.0 2031-109-006 REV B www.stryker.com Table of Contents English Product Labels... 4

More information

Maximum Likelihood Estimation

Maximum Likelihood Estimation Mau Lkelhood aon Beln Chen Depaen of Copue Scence & Infoaon ngneeng aonal Tawan oal Unvey Refeence:. he Alpaydn, Inoducon o Machne Leanng, Chape 4, MIT Pe, 4 Saple Sac and Populaon Paaee A Scheac Depcon

More information

Copyright Birkin Cars (Pty) Ltd

Copyright Birkin Cars (Pty) Ltd E GROU TWO STEERING AND EDAS - R.H.D Aemble clue : K360 043AD STEERING OUMN I u: - : K360 04A STEERING RAK :3 K360 045A EDA OX K360043AD STEERING O UMN Tl eque f embl f u: - mm Alle Ke 3mm Se 6mm Alle

More information

The ray paths and travel times for multiple layers can be computed using ray-tracing, as demonstrated in Lab 3.

The ray paths and travel times for multiple layers can be computed using ray-tracing, as demonstrated in Lab 3. C. Trael me cures for mulple reflecors The ray pahs ad rael mes for mulple layers ca be compued usg ray-racg, as demosraed Lab. MATLAB scrp reflec_layers_.m performs smple ray racg. (m) ref(ms) ref(ms)

More information

Chapter 3: Vectors and Two-Dimensional Motion

Chapter 3: Vectors and Two-Dimensional Motion Chape 3: Vecos and Two-Dmensonal Moon Vecos: magnude and decon Negae o a eco: eese s decon Mulplng o ddng a eco b a scala Vecos n he same decon (eaed lke numbes) Geneal Veco Addon: Tangle mehod o addon

More information

Partial Molar Properties of solutions

Partial Molar Properties of solutions Paral Molar Properes of soluos A soluo s a homogeeous mxure; ha s, a soluo s a oephase sysem wh more ha oe compoe. A homogeeous mxures of wo or more compoes he gas, lqud or sold phase The properes of a

More information

Reliability Analysis. Basic Reliability Measures

Reliability Analysis. Basic Reliability Measures elably /6/ elably Aaly Perae faul Πelably decay Teporary faul ΠOfe Seady ae characerzao Deg faul Πelably growh durg eg & debuggg A pace hule Challeger Lauch, 986 Ocober 6, Bac elably Meaure elably:

More information

Some Different Perspectives on Linear Least Squares

Some Different Perspectives on Linear Least Squares Soe Dfferet Perspectves o Lear Least Squares A stadard proble statstcs s to easure a respose or depedet varable, y, at fed values of oe or ore depedet varables. Soetes there ests a deterstc odel y f (,,

More information

RAMIFICATIONS of POSITION SERVO LOOP COMPENSATION

RAMIFICATIONS of POSITION SERVO LOOP COMPENSATION RAMIFICATIONS f POSITION SERO LOOP COMPENSATION Gerge W. Yunk, P.E. Lfe Fellw IEEE Indural Cnrl Cnulg, Inc. Fnd du Lac, Wcn Fr many year dural pg er dre dd n ue er cmpena he frward p lp. Th wa referred

More information

11. HAFAT İş-Enerji Power of a force: Power in the ability of a force to do work

11. HAFAT İş-Enerji Power of a force: Power in the ability of a force to do work MÜHENDİSLİK MEKNİĞİ. HFT İş-Eneji Pwe f a fce: Pwe in he abiliy f a fce d wk F: The fce applied n paicle Q P = F v = Fv cs( θ ) F Q v θ Pah f Q v: The velciy f Q ÖRNEK: İŞ-ENERJİ ω µ k v Calculae he pwe

More information

Physics 201 Lecture 15

Physics 201 Lecture 15 Phscs 0 Lecue 5 l Goals Lecue 5 v Elo consevaon of oenu n D & D v Inouce oenu an Iulse Coens on oenu Consevaon l oe geneal han consevaon of echancal eneg l oenu Consevaon occus n sses wh no ne eenal foces

More information

Least Squares Fitting (LSQF) with a complicated function Theexampleswehavelookedatsofarhavebeenlinearintheparameters

Least Squares Fitting (LSQF) with a complicated function Theexampleswehavelookedatsofarhavebeenlinearintheparameters Leas Squares Fg LSQF wh a complcaed fuco Theeampleswehavelookedasofarhavebeelearheparameers ha we have bee rg o deerme e.g. slope, ercep. For he case where he fuco s lear he parameers we ca fd a aalc soluo

More information

On Probability Density Function of the Quotient of Generalized Order Statistics from the Weibull Distribution

On Probability Density Function of the Quotient of Generalized Order Statistics from the Weibull Distribution ISSN 684-843 Joua of Sac Voue 5 8 pp. 7-5 O Pobaby Dey Fuco of he Quoe of Geeaed Ode Sac fo he Webu Dbuo Abac The pobaby dey fuco of Muhaad Aee X k Y k Z whee k X ad Y k ae h ad h geeaed ode ac fo Webu

More information

Active Load. Reading S&S (5ed): Sec. 7.2 S&S (6ed): Sec. 8.2

Active Load. Reading S&S (5ed): Sec. 7.2 S&S (6ed): Sec. 8.2 cte La ean S&S (5e: Sec. 7. S&S (6e: Sec. 8. In nteate ccuts, t s ffcult t fabcate essts. Instea, aplfe cnfuatns typcally use acte las (.e. las ae w acte eces. Ths can be ne usn a cuent suce cnfuatn,.e.

More information

Example

Example hapte Exaple.6-3. ---------------------------------------------------------------------------------- 5 A single hllw fibe is placed within a vey lage glass tube. he hllw fibe is 0 c in length and has a

More information

5-1. We apply Newton s second law (specifically, Eq. 5-2). F = ma = ma sin 20.0 = 1.0 kg 2.00 m/s sin 20.0 = 0.684N. ( ) ( )

5-1. We apply Newton s second law (specifically, Eq. 5-2). F = ma = ma sin 20.0 = 1.0 kg 2.00 m/s sin 20.0 = 0.684N. ( ) ( ) 5-1. We apply Newon s second law (specfcally, Eq. 5-). (a) We fnd he componen of he foce s ( ) ( ) F = ma = ma cos 0.0 = 1.00kg.00m/s cos 0.0 = 1.88N. (b) The y componen of he foce s ( ) ( ) F = ma = ma

More information

Algebra 2A. Algebra 2A- Unit 5

Algebra 2A. Algebra 2A- Unit 5 Algeba 2A Algeba 2A- Ui 5 ALGEBRA 2A Less: 5.1 Name: Dae: Plymial fis O b j e i! I a evalae plymial fis! I a ideify geeal shapes f gaphs f plymial fis Plymial Fi: ly e vaiable (x) V a b l a y a :, ze a

More information

Consider two masses m 1 at x = x 1 and m 2 at x 2.

Consider two masses m 1 at x = x 1 and m 2 at x 2. Chapte 09 Syste of Patcles Cete of ass: The cete of ass of a body o a syste of bodes s the pot that oes as f all of the ass ae cocetated thee ad all exteal foces ae appled thee. Note that HRW uses co but

More information

Copyright Birkin Cars (Pty) Ltd

Copyright Birkin Cars (Pty) Ltd e f u:- 5: K360 98AA RADIATOR 5: K360 053AA SEAT MOUNTING GROU 5:3 K360 06A WIER MOTOR GROU 5:4 K360 0A HANDRAKE 5:5 K360 0A ENTRE ONSOE 5:6 K360 05AA RO AGE 5:7 K360 48AA SARE WHEE RADE 5:8 K360 78AA

More information

R th is the Thevenin equivalent at the capacitor terminals.

R th is the Thevenin equivalent at the capacitor terminals. Chaper 7, Slun. Applyng KV Fg. 7.. d 0 C - Takng he derae f each erm, d 0 C d d d r C Inegrang, () ln I 0 - () I 0 e - C C () () r - I 0 e - () V 0 e C C Chaper 7, Slun. h C where h s he Theenn equalen

More information

Stillma. Uun. B. Al.'ca ha. already her cargo. - CALENDAR. Island Notes. ua.. Eo'" e"'lej- - :" THE PAOIPXC P. C ADVERTISER CO. i&tilistmtnts.

Stillma. Uun. B. Al.'ca ha. already her cargo. - CALENDAR. Island Notes. ua.. Eo' e'lej- - : THE PAOIPXC P. C ADVERTISER CO. i&tilistmtnts. B E PF B E PEE ED PBED B E PP P DEE D P F B F E F BBEE E F z z Q F E F F F G G F F D D PY B E D B B Pxx BE D B B Q D PY x E D E P D F BE D E E D E E FFE DE D P F BE D D P P G F P F Bx P B B B G FE E PY

More information

and ALiTO SOLO LOWELL, MICHIGAN, THURSDAY, AUGUST 9, 1928 First Results of the 1928 Nationwide Presidential Poll

and ALiTO SOLO LOWELL, MICHIGAN, THURSDAY, AUGUST 9, 1928 First Results of the 1928 Nationwide Presidential Poll E E XXX E Y! D 22 5 Q G Y G Y D G G q - YEE 24-? G Y E x - E Q- E 7// < D D D G E G D - 2 ; - j E ; (z ; 4 2 z 5 q z: G $7 z: $5 z: $3 E G DY G 9 928 54 Y! 8! GEG : : ; j: D - DY DY G z D zz!!!-! G E DDED

More information

Suppose we have observed values t 1, t 2, t n of a random variable T.

Suppose we have observed values t 1, t 2, t n of a random variable T. Sppose we have obseved vales, 2, of a adom vaable T. The dsbo of T s ow o belog o a cea ype (e.g., expoeal, omal, ec.) b he veco θ ( θ, θ2, θp ) of ow paamees assocaed wh s ow (whee p s he mbe of ow paamees).

More information

h D t del d ddl ddl el del d < d

h D t del d ddl ddl el del d < d > Z Z d : d h D d, Z d d / d W < ^ d d d ' e W E e > ^ d d / & d e ^ < e Z d e & D d e h s d : ^ d e d ' D ' h ' ' ' d / / ' h ^ ^ ' d / / ' & ' h D ' ' ' d W ' h ' ' ' d ' D ' ' > ' h ' ' ' e D /' /EZh

More information

IMPROVING LINEARITY AND SENSITIVITY IN LOW NOISE AMPLIFIERS

IMPROVING LINEARITY AND SENSITIVITY IN LOW NOISE AMPLIFIERS Pceed f he 6h WSEAS eaal Cfeece Appled fac ad Cuca Eluda eece Auu 8-0 006 pp6-0 MPON LNEATY AND SENSTTY N LOW NOSE AMPLES EDA ALEJANDO ANDADE ONZÁLEZ MAO EYES AYALA JOSÉ ALEDO TADO MÉNDEZ Elecc Depae Mepla

More information

-HYBRID LAPLACE TRANSFORM AND APPLICATIONS TO MULTIDIMENSIONAL HYBRID SYSTEMS. PART II: DETERMINING THE ORIGINAL

-HYBRID LAPLACE TRANSFORM AND APPLICATIONS TO MULTIDIMENSIONAL HYBRID SYSTEMS. PART II: DETERMINING THE ORIGINAL UPB Sc B See A Vo 72 I 3 2 ISSN 223-727 MUTIPE -HYBRID APACE TRANSORM AND APPICATIONS TO MUTIDIMENSIONA HYBRID SYSTEMS PART II: DETERMININ THE ORIINA Ve PREPEIŢĂ Te VASIACHE 2 Ace co copeeă oă - pce he

More information

Online Open Access publishing platform for Management Research. Copyright 2010 All rights reserved Integrated Publishing association

Online Open Access publishing platform for Management Research. Copyright 2010 All rights reserved Integrated Publishing association Ole Ope cce pblhg plaf f Maagee Reeach Cpgh 00 ll gh eeed Iegaed Pblhg aca Reeach cle ISSN 9 3795 c e f wegh dea eae effcec ad Idef pdc chage Fahad Hezadeh Lf l Paa Reza N Depae f Maheac Scece ad Reeach

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

Fault Tolerant Computing. Fault Tolerant Computing CS 530 Reliability Analysis

Fault Tolerant Computing. Fault Tolerant Computing CS 530 Reliability Analysis Probably /4/6 CS 5 elably Aaly Yahwa K. Malaya Colorado Sae very Ocober 4, 6 elably Aaly: Oule elably eaure: elably, avalably, Tra. elably, T M MTTF ad (, MTBF Bac Cae Sgle u wh perae falure, falure rae

More information

CAT. NO /irtl,417~ S- ~ I ';, A RIDER PUBLICATION BY H. A. MIDDLETON

CAT. NO /irtl,417~ S- ~ I ';, A RIDER PUBLICATION BY H. A. MIDDLETON CAT. NO. 139-3 THIRD SUPPLEMENT I /irtl,417~ S- ~ I ';,... 0 f? BY H. A. MIDDLETON.. A RIDER PUBLICATION B36 B65 B152 B309 B319 B329 B719 D63 D77 D152 DA90 DAC32 DAF96 DC70 DC80 DCC90 DD6 DD7 DF62 DF91

More information

2015 Sectional Physics Exam Solution Set

2015 Sectional Physics Exam Solution Set . Crrec answer: D Ne: [quan] denes: uns quan WYSE cadec Challenge 05 Secnal Phscs Ea SOLUTION SET / / / / rce lengh lengh rce enu ass lengh e a) / ass ass b) energ c) wrk lengh e pwer energ e d) (crrec

More information

Mechanics Physics 151

Mechanics Physics 151 Mechancs Physcs 5 Lecure 0 Canoncal Transformaons (Chaper 9) Wha We Dd Las Tme Hamlon s Prncple n he Hamlonan formalsm Dervaon was smple δi δ Addonal end-pon consrans pq H( q, p, ) d 0 δ q ( ) δq ( ) δ

More information

CLAIM No, HOLE No, FOOTAGE

CLAIM No, HOLE No, FOOTAGE DIAMND DRILLING ARNLD TWNSHIP! Ad REPRT N; WRK PERFRMED BY: Wm Lk CLAIM N HLE N FTAGE L 63 A82 553 DATE NTE Ag/82 ) NTES! ) #2983 A IN! ~S) L 6/3 A CMA L C /v Pbem Pge The g pge hs dme hd pbem whe sed

More information

CIRCUITS AND ELECTRONICS. The Impedance Model

CIRCUITS AND ELECTRONICS. The Impedance Model 6.00 UTS AND EETONS The medance Mode e as: Anan Agawa and Jeffey ang, couse maeas fo 6.00 cus and Eeconcs, Sng 007. MT OenouseWae (h://ocw.m.edu/), Massachuses nsue of Technoogy. Downoaded on [DD Monh

More information

IrrItrol Products 2016 catalog

IrrItrol Products 2016 catalog l Ps Valves 205, 200 an 2500 eies Valves M Pa Nmbe -205F 1" n-line E Valve w/ FC - se 2500 eies 3* -200 1" E n-line Valve w/ FC F x F 3-200F 1" n-line Valve w/ FC F x F -2500 1" E Valve w/ FC F x F -2500F

More information

8. Queueing systems lect08.ppt S Introduction to Teletraffic Theory - Fall

8. Queueing systems lect08.ppt S Introduction to Teletraffic Theory - Fall 8. Queueg sysems lec8. S-38.45 - Iroduco o Teleraffc Theory - Fall 8. Queueg sysems Coes Refresher: Smle eleraffc model M/M/ server wag laces M/M/ servers wag laces 8. Queueg sysems Smle eleraffc model

More information

In order to ensure that an overall development in service by those. of total. rel:rtins lo the wapris are

In order to ensure that an overall development in service by those. of total. rel:rtins lo the wapris are AhAY ggkhu e evue he eve us wch my be eese s esu eucs ese mbes buges hve bee ke cvu vs. Css e vse e' he w m ceges cec ec css. Dec Dgqs_1q W qge5ee.pe_s_ v V cuss ke ecy 1 hc huse ees. bse cu wc esb shmes.

More information

1 Constant Real Rate C 1

1 Constant Real Rate C 1 Consan Real Rae. Real Rae of Inees Suppose you ae equally happy wh uns of he consumpon good oday o 5 uns of he consumpon good n peod s me. C 5 Tha means you ll be pepaed o gve up uns oday n eun fo 5 uns

More information

A.dr.rwarded to foreiirti count rie will be f 7 SOperann.. rsri--.-j- -.?- .JULY. 12, lsiii).,11,111. yc:tl crst.iif. lit. J. lor Sale... Kb l.

A.dr.rwarded to foreiirti count rie will be f 7 SOperann.. rsri--.-j- -.?- .JULY. 12, lsiii).,11,111. yc:tl crst.iif. lit. J. lor Sale... Kb l. E E b g b E x Y b p p g b 2 x $ p 2 p p 6 p x b b p x p pp 5 b x b p Y Yg g pg 2 Dp g pb? xp p g G 2 p p x D D p 59 E 9pp b b x xp D p p? 8 5 2 pp E x z b x? p p Z 2 p p x p 9 p x p p EE E EY E G E p EQ

More information

ASHLA UO MUJJlGl PAL c OUtT. filing for office of Q 50t 5 1 Coo I 5 OS. Filing of Candidacy by Declaration ORS

ASHLA UO MUJJlGl PAL c OUtT. filing for office of Q 50t 5 1 Coo I 5 OS. Filing of Candidacy by Declaration ORS F ddy p EL v 6 GR 49 7h pub d d y b pubhd pdud p yp p by bk k ub ud dd L hw hud pp b d u K LR L V R AHLA U MUG PAL U dp p ub L 6 HwA qq u A L d dd u v zp d H b A U uy d Y q w A @ 9 Y x dd P B qq AHLP UD

More information

Cyclone. Anti-cyclone

Cyclone. Anti-cyclone Adveco Cycloe A-cycloe Lorez (963) Low dmesoal aracors. Uclear f hey are a good aalogy o he rue clmae sysem, bu hey have some appealg characerscs. Dscusso Is he al codo balaced? Is here a al adjusme

More information

12781 Velp Avenue. West County B Rural Residential Development

12781 Velp Avenue. West County B Rural Residential Development U PL & EET E 28 Vel ee eded 2 P.. ) LL EET T E 2) PPVE E ) ET E ) e e e e eded eebe 2 Plg & g eeg b) Bldg Pe e: eebe ) PUBL FU ( -E TE): g be bg bee e Plg & g eel ll be de ll be e. 5) UEETFEEBK: ) be ll

More information

VIII Dynamics of Systems of Particles

VIII Dynamics of Systems of Particles VIII Dyacs of Systes of Patcles Cete of ass: Cete of ass Lea oetu of a Syste Agula oetu of a syste Ketc & Potetal Eegy of a Syste oto of Two Iteactg Bodes: The Reduced ass Collsos: o Elastc Collsos R whee:

More information

LECTURE 12. Special Solutions of Laplace's Equation. 1. Separation of Variables with Respect to Cartesian Coordinates. Suppose.

LECTURE 12. Special Solutions of Laplace's Equation. 1. Separation of Variables with Respect to Cartesian Coordinates. Suppose. 50 LECTURE 12 Special Solutions of Laplace's Equation 1. Sepaation of Vaiables with Respect to Catesian Coodinates Suppose è12.1è èx; yè =XèxèY èyè is a solution of è12.2è Then we must have è12.3è 2 x

More information

Copyright Birkin Cars (Pty) Ltd

Copyright Birkin Cars (Pty) Ltd WINDSREEN AND WIERS Aemble clue I u: - 7.1 7. 7.3 7. 7.5 K3601 15A K3601 1AA K3601 151AA K3601 18AA K360115AA K3601 08AA WINDSREEN WASHER WIER INKAGE ASSEMY WINDSREEN MOUNTING RAKETS WINDSREEN ASSEMY WIER

More information

AGENDA REPORT. Payroll listing conforms to the approved budget except as noted and has been paid WILLIAM A HUSTON CITY MANAGER

AGENDA REPORT. Payroll listing conforms to the approved budget except as noted and has been paid WILLIAM A HUSTON CITY MANAGER Age e 4 AGEDA RERT Reewe ge Fce Dec EETG DATE Al 2 2 T FR A A T T AAGER AEA ARED KG FAE DRETR BET RATFAT F AR AR The cl h e he e f Gee e ec 728 eee he e f f T Reeele Agec blg h e ccce wh he e bge ce e

More information

Faraday s Law. Faraday s Law. Faraday s Experiments. Faraday s Experiments. Magnetic Flux. Chapter 31. Law of Induction (emf( emf) Faraday s Law

Faraday s Law. Faraday s Law. Faraday s Experiments. Faraday s Experiments. Magnetic Flux. Chapter 31. Law of Induction (emf( emf) Faraday s Law Faaday s Law Faaday s Epeiments Chapte 3 Law of nduction (emf( emf) Faaday s Law Magnetic Flu Lenz s Law Geneatos nduced Electic fields Michael Faaday discoeed induction in 83 Moing the magnet induces

More information

Theory of Mechanoluminescence of coloured alkali halide crystals using pressure steps

Theory of Mechanoluminescence of coloured alkali halide crystals using pressure steps They f Mechaluecece f clue alkal hale cyal ug eue e Muzzal Aha Bha, R.K. aua, Shab Aha, Deae f Phyc, RDVV, Jabalu (a, Deae f Phyc, Jaa Mlla laa, ew Delh (a \ ABSTRACT The heecal aach he ML uce by he alca

More information

Let s celebrate! UNIT. 1 Write the town places. 3 Read and match. school. c 1 When s your birthday? Listen, check and practise the dialogues.

Let s celebrate! UNIT. 1 Write the town places. 3 Read and match. school. c 1 When s your birthday? Listen, check and practise the dialogues. UNIT L clb! Sud Bk pg W h w plc. l c h m c u chl g w m m l p p c p k 7 b 8 l y. L, chck d pc h dlgu. Rd d mch. c Wh yu bhdy? Wh d h flm? Wh p wuld yu lk? Hw much h dg? Wuld yu lk g h pk? D yu lk c? 7 Wh

More information

Solution to Review Problems for Midterm II

Solution to Review Problems for Midterm II Soluion o Review Problems for Miderm II MATH 3860 001 Correcion: (i) should be y () ( + )y () + ( + )y() = e (1 + ). Given ha () = e is a soluion of y () ( + )y () + ( + )y() = 0. You should do problems

More information

, University. 1and. y T. since. g g

, University. 1and. y T. since. g g UADPhilEc, Dp. f Ecmics,, Uivsi f Ahss Lcu: Nichlas J. hcaakis Dcmb 2 Ec Advacd Maccmic h I: Mdul : Gwh G ad Ccls Basic wh mah im vaiabls. 2. Disc vaiabls Scks (a a pi f im,.. labu fc) ad Flws ( i a pid

More information

P a g e 5 1 of R e p o r t P B 4 / 0 9

P a g e 5 1 of R e p o r t P B 4 / 0 9 P a g e 5 1 of R e p o r t P B 4 / 0 9 J A R T a l s o c o n c l u d e d t h a t a l t h o u g h t h e i n t e n t o f N e l s o n s r e h a b i l i t a t i o n p l a n i s t o e n h a n c e c o n n e

More information

14. Poisson Processes

14. Poisson Processes 4. Posso Processes I Lecure 4 we roduced Posso arrvals as he lmg behavor of Bomal radom varables. Refer o Posso approxmao of Bomal radom varables. From he dscusso here see 4-6-4-8 Lecure 4 " arrvals occur

More information

". :'=: "t',.4 :; :::-':7'- --,r. "c:"" --; : I :. \ 1 :;,'I ~,:-._._'.:.:1... ~~ \..,i ... ~.. ~--~ ( L ;...3L-. ' f.':... I. -.1;':'.

. :'=: t',.4 :; :::-':7'- --,r. c: --; : I :. \ 1 :;,'I ~,:-._._'.:.:1... ~~ \..,i ... ~.. ~--~ ( L ;...3L-. ' f.':... I. -.1;':'. = 47 \ \ L 3L f \ / \ L \ \ j \ \ 6! \ j \ / w j / \ \ 4 / N L5 Dm94 O6zq 9 qmn j!!! j 3DLLE N f 3LLE Of ADL!N RALROAD ORAL OR AL AOAON N 5 5 D D 9 94 4 E ROL 2LL RLLAY RL AY 3 ER OLLL 832 876 8 76 L A

More information

Solution. The straightforward approach is surprisingly difficult because one has to be careful about the limits.

Solution. The straightforward approach is surprisingly difficult because one has to be careful about the limits. ose ad Varably Homewor # (8), aswers Q: Power spera of some smple oses A Posso ose A Posso ose () s a sequee of dela-fuo pulses, eah ourrg depedely, a some rae r (More formally, s a sum of pulses of wdh

More information

Old Fashioned Descriptive Statistics You should come into the course already knowing these

Old Fashioned Descriptive Statistics You should come into the course already knowing these Cmpuaal Publc ealh Sac Fmula (Pa ) Ve: Mach 007 Old Fahed Decpve Sac Yu huld cme he cu aleady kwg he Sac Paamee P Emae Fmula Iepea Ne / Dcu Sum f quae σ df ( x x) N eay epea. Mea μ x x x A meaue f ceal

More information

ECEN474/704: (Analog) VLSI Circuit Design Spring 2018

ECEN474/704: (Analog) VLSI Circuit Design Spring 2018 EEN474/704: (Anal) LSI cut De S 08 Lectue 8: Fequency ene Sa Pale Anal & Mxed-Sal ente Texa A&M Unety Annunceent & Aenda HW Due Ma 6 ead aza hate 3 & 6 Annunceent & Aenda n-suce A Fequency ene Oen-cut

More information

7 Wave Equation in Higher Dimensions

7 Wave Equation in Higher Dimensions 7 Wave Equaion in Highe Dimensions We now conside he iniial-value poblem fo he wave equaion in n dimensions, u c u x R n u(x, φ(x u (x, ψ(x whee u n i u x i x i. (7. 7. Mehod of Spheical Means Ref: Evans,

More information

( m is the length of columns of A ) spanned by the columns of A : . Select those columns of B that contain a pivot; say those are Bi

( m is the length of columns of A ) spanned by the columns of A : . Select those columns of B that contain a pivot; say those are Bi Assgmet /MATH 47/Wte Due: Thusday Jauay The poblems to solve ae umbeed [] to [] below Fst some explaatoy otes Fdg a bass of the colum-space of a max ad povg that the colum ak (dmeso of the colum space)

More information

Centroid is the point where the resultant of distributed force system is assumed to act and generate the same dynamic results.

Centroid is the point where the resultant of distributed force system is assumed to act and generate the same dynamic results. DYNMI ORE NLYSIS If he cceler f g lks echs re rug wh csderble u f ler d/r gulr ccelers, er frces re geered d hese er frces ls us be erce b he drg r s dd he frces eered b he eerl ld r wrk he echs des. S,

More information

Name of the Student:

Name of the Student: Engneeng Mahemacs 05 SUBJEC NAME : Pobably & Random Pocess SUBJEC CODE : MA645 MAERIAL NAME : Fomula Maeal MAERIAL CODE : JM08AM007 REGULAION : R03 UPDAED ON : Febuay 05 (Scan he above QR code fo he dec

More information

Mass-Spring Systems Surface Reconstruction

Mass-Spring Systems Surface Reconstruction Mass-Spng Syses Physally-Based Modelng: Mass-Spng Syses M. Ale O. Vasles Mass-Spng Syses Mass-Spng Syses Snake pleenaon: Snake pleenaon: Iage Poessng / Sae Reonson: Iage poessng/ Sae Reonson: Mass-Spng

More information

Lagrangian & Hamiltonian Mechanics:

Lagrangian & Hamiltonian Mechanics: XII AGRANGIAN & HAMITONIAN DYNAMICS Iouco Hamlo aaoal Pcple Geealze Cooaes Geealze Foces agaga s Euao Geealze Momea Foces of Cosa, agage Mulples Hamloa Fucos, Cosevao aws Hamloa Dyamcs: Hamlo s Euaos agaga

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

Midterm Exam. Tuesday, September hour, 15 minutes

Midterm Exam. Tuesday, September hour, 15 minutes Ecoomcs of Growh, ECON560 Sa Fracsco Sae Uvers Mchael Bar Fall 203 Mderm Exam Tuesda, Sepember 24 hour, 5 mues Name: Isrucos. Ths s closed boo, closed oes exam. 2. No calculaors of a d are allowed. 3.

More information

2/20/2013. Topics. Power Flow Part 1 Text: Power Transmission. Power Transmission. Power Transmission. Power Transmission

2/20/2013. Topics. Power Flow Part 1 Text: Power Transmission. Power Transmission. Power Transmission. Power Transmission /0/0 Topcs Power Flow Part Text: 0-0. Power Trassso Revsted Power Flow Equatos Power Flow Proble Stateet ECEGR 45 Power Systes Power Trassso Power Trassso Recall that for a short trassso le, the power

More information

Speech, NLP and the Web

Speech, NLP and the Web peech NL ad he Web uhpak Bhaacharyya CE Dep. IIT Bombay Lecure 38: Uuperved learg HMM CFG; Baum Welch lecure 37 wa o cogve NL by Abh Mhra Baum Welch uhpak Bhaacharyya roblem HMM arg emac ar of peech Taggg

More information

Overview. Review Superposition Solution. Review Superposition. Review x and y Swap. Review General Superposition

Overview. Review Superposition Solution. Review Superposition. Review x and y Swap. Review General Superposition ylcal aplace Soltos ebay 6 9 aplace Eqato Soltos ylcal Geoety ay aetto Mechacal Egeeg 5B Sea Egeeg Aalyss ebay 6 9 Ovevew evew last class Speposto soltos tocto to aal cooates Atoal soltos of aplace s eqato

More information

Chapter 3 Applications of resistive circuits

Chapter 3 Applications of resistive circuits Chapte 3 pplcat f ete ccut 3. (ptal) eal uce mel, maxmum pwe tafe 3. mplfe mel ltage amplfe mel, cuet amplfe mel 3.3 Op-amp lea mel, etg p-amp, etg p-amp, ummg a ffeece p-amp 3.4-3.5 (ptal) teal p-amp

More information

ÖRNEK 1: THE LINEAR IMPULSE-MOMENTUM RELATION Calculate the linear momentum of a particle of mass m=10 kg which has a. kg m s

ÖRNEK 1: THE LINEAR IMPULSE-MOMENTUM RELATION Calculate the linear momentum of a particle of mass m=10 kg which has a. kg m s MÜHENDİSLİK MEKANİĞİ. HAFTA İMPULS- MMENTUM-ÇARPIŞMA Linea oenu of a paicle: The sybol L denoes he linea oenu and is defined as he ass ies he elociy of a paicle. L ÖRNEK : THE LINEAR IMPULSE-MMENTUM RELATIN

More information

THE ROYAL STATISTICAL SOCIETY GRADUATE DIPLOMA

THE ROYAL STATISTICAL SOCIETY GRADUATE DIPLOMA THE ROYAL STATISTICAL SOCIETY 3 EXAMINATIONS SOLUTIONS GRADUATE DIPLOMA PAPER I STATISTICAL THEORY & METHODS The Socety provdes these solutos to assst caddates preparg for the examatos future years ad

More information

Section 3.5 Nonhomogeneous Equations; Method of Undetermined Coefficients

Section 3.5 Nonhomogeneous Equations; Method of Undetermined Coefficients Secion 3.5 Nonhomogeneous Equaions; Mehod of Undeermined Coefficiens Key Terms/Ideas: Linear Differenial operaor Nonlinear operaor Second order homogeneous DE Second order nonhomogeneous DE Soluion o homogeneous

More information

Physics 207 Lecture 16

Physics 207 Lecture 16 Physcs 07 Lectue 6 Goals: Lectue 6 Chapte Extend the patcle odel to gd-bodes Undestand the equlbu of an extended object. Analyze ollng oton Undestand otaton about a fxed axs. Eploy consevaton of angula

More information

Notes 04 largely plagiarized by %khc

Notes 04 largely plagiarized by %khc Noes 04 largely plagiarized by %khc Convoluion Recap Some ricks: x() () =x() x() (, 0 )=x(, 0 ) R ț x() u() = x( )d x() () =ẋ() This hen ells us ha an inegraor has impulse response h() =u(), and ha a differeniaor

More information

Radian Measure CHAPTER 5 MODELLING PERIODIC FUNCTIONS

Radian Measure CHAPTER 5 MODELLING PERIODIC FUNCTIONS 5.4 Radian Measue So fa, ou hae measued angles in degees, with 60 being one eolution aound a cicle. Thee is anothe wa to measue angles called adian measue. With adian measue, the ac length of a cicle is

More information

Exponential Generating Functions - J. T. Butler

Exponential Generating Functions - J. T. Butler Epoetal Geeatg Fuctos - J. T. Butle Epoetal Geeatg Fuctos Geeatg fuctos fo pemutatos. Defto: a +a +a 2 2 + a + s the oday geeatg fucto fo the sequece of teges (a, a, a 2, a, ). Ep. Ge. Fuc.- J. T. Butle

More information

Real-Time Systems. Example: scheduling using EDF. Feasibility analysis for EDF. Example: scheduling using EDF

Real-Time Systems. Example: scheduling using EDF. Feasibility analysis for EDF. Example: scheduling using EDF EDA/DIT6 Real-Tme Sysems, Chalmers/GU, 0/0 ecure # Updaed February, 0 Real-Tme Sysems Specfcao Problem: Assume a sysem wh asks accordg o he fgure below The mg properes of he asks are gve he able Ivesgae

More information