Noise Power Ratio (NPR) A 65-Year Old Telephone System Specification Finds New Life in Modern Wireless Applications.

Size: px
Start display at page:

Download "Noise Power Ratio (NPR) A 65-Year Old Telephone System Specification Finds New Life in Modern Wireless Applications."

Transcription

1 TUTORIL ois Powr Ratio (PR) 65-Yar Old Tlphon Systm Spcification Finds w Lif in Modrn Wirlss pplications ITRODUTIO by Walt Kstr Th concpt of ois Powr Ratio (PR) has bn around sinc th arly days of frquncy division multiplxd (FDM) tlphon systms. Th PR is simply a masur of th "quitnss" of an unusd channl in a multi-channl systm whn thr is random activity on th othrs. ois and intrmodulation distortion products fall into th unusd channl causing lss than idal prformanc. Originally usd to chc 4-Hz wid voic channls in FDM lins, th sam concpt is usful today in charactrizing multichannl widband communication systms but thr ar som important diffrncs in th modrn masurmnt tchniqus. HISTORY OF PR ois powr ratio tsting has bn usd sinc th arly days of Frquncy Division Multiplxd (FDM) communication systms. In a typical FDM systm, 4-Hz wid voic channls ar "stacd" in frquncy bins for transmission ovr coaxial, microwav, or satllit quipmnt. Th numbr of channls dpnds on th systm. group is composd of voic channls and occupis a bandwidth of 48 Hz. Similarly, a suprgroup has 60 channls and occupis a bandwidth of 40 Hz, and a mastrgroup has 300 channls and occupis a bandwidth of approximatly.3 MHz. Suprgroups and mastrgroups ar oftn combind to ma up vn highr capacity systms. For instanc, an 800-channl systm occupis a bandwidth of approximatly 8 MHz. t th rciving nd of th transmission lin, th FDM data is dmultiplxd and convrtd bac to 4-Hz individual voicband channls. Th FDM signal is thrfor composd of many individual voic channls and passs through amplifirs, rpatrs, channl bans, tc., which add nois and distortion to th signal. Early studis at Bll Tlphon Labs (Rfrnc ) ld to th conclusion that th composit signal in an FDM systm having mor than approximatly 00 channls can b approximatd by Gaussian nois having a bandwidth qual to th bandwidth of th combind FDM signal. For instanc, a 800-channl FDM signal is approximatd by Gaussian nois with a bandwidth of 8. MHz. Th "quality" of an individual voic channl is thn masurd by first assuming that thr ar random "talrs" on all channls xcpt th spcific 4-Hz channl undr tst. n individual 4- Hz channl can thrfor b masurd for "quitnss" using a narrow-band notch (bandstop) filtr and a spcially tund rcivr which masurs th nois powr insid th 4-Hz notch as shown in Figur. Rv., 0/08, WK Pag of

2 () GUSSI OISE SOURE LPF OTH FILTER TRSMISSIO SYSTEM RROWBD REEIVER (B) GUSSI OISE SOURE LPF OTH FILTER D BUFFER MEMORY D FFT PROESSOR f s RMS OISE LEVEL (db) LOWER OTH WIDTH UPPER OTH WIDTH PR OTH WIDTH FREQUEY 0.5f s Figur : ois Powr Ratio (PR) Masurmnts ois Powr Ratio (PR) masurmnts ar straightforward in an analog transmission systm (Figur ). With th notch filtr out, th rms nois powr of th signal insid th notch is masurd by th narrowband rcivr. Th notch filtr is thn switchd in, and th rsidual nois insid th notch is masurd. Th ratio of ths two radings xprssd in db is th PR. Svral notch frquncis across th nois bandwidth (low, midband, and high) ar tstd to charactriz th systm adquatly. Dtails of arly PR tst quipmnt and th masurmnts can b found in Rfrnc 4. PR masurmnts on Ds ar mad in a similar mannr, xcpt th analog rcivr is rplacd by a buffr mmory and an FFT procssor which prforms th calculations as shown in Figur B. Thr ar som cass whr th combind FDM signal is convrtd to digital with an D, transmittd, and thn convrtd bac to analog using a D at th rcivr. In this cas, th analog mthod shown in Figur is utilizd in prforming th PR tst. In a 939 articl (Rfrnc ), Holbroo and Dixon prformd an analysis of FDM systms in an ffort to dtrmin th optimum channl "loading" lvls. Thir wor ld to th fundamntal thory of multichannl nois loading. Th goal is to st th signal lvl (or "loading") to a valu which will giv th highst PR. Th PR is plottd as a function of rms nois lvl rfrrd to th pa rang of th systm. For vry low nois loading lvls, th undsird nois (in nondigital systms) is primarily thrmal nois and is indpndnt of th input nois lvl. Ovr this rgion of th curv, a -db incras in nois loading lvl causs a -db incras in PR. s th nois loading lvl is incrasd, th amplifirs and rpatrs in th systm bgin to ovrload, crating intrmodulation products which caus th nois floor of th systm to incras. s th input nois continus to incras, th ffcts of "ovrload" nois prdominat, and th PR is rducd dramatically. FDM systms ar usually opratd at a nois loading lvl a fw db blow th point of maximum PR to allow hadroom for pa busy hours. Pag of

3 Systm PR rcommndations for FDM systms wr formalizd in 966 by th ITT/IR to masur th transmission charactristics of Frquncy Division Multipl (FDM) communications lins (s Rfrnc 4). In a digital systm containing an D, th nois within th notch is primarily quantization nois whn low lvls of input nois ar applid. Howvr, for vry low amplitud signals (lss than - LSB pa-to-pa), th rsulting nois rvrts to th input-rfrrd nois of th D. For signals that xrcis svral LSBs of th D, th PR curv is linar, and quantization nois prdominats. s th nois lvl incrass, thr is a on-for-on corrspondnc btwn th nois lvl and th PR. t som lvl, howvr, "clipping" nois causd by th hard-limiting action of th D bgins to dominat. Th D hard-limiting "clipping" nois is somwhat diffrnt from th soft-limiting "ovrload" nois of an analog FDM and rsults in a "stpr" downward slop in th clipping rgion. THEORETIL PR FOR DIGITL SYSTEM Svral paprs hav bn writtn ovr th yars driving th thortical PR of an idal n-bit D (for xampl, Rfrncs 5, 6, and 7). Rfrnc 6 is th most complt, and shows th drivation for both uniformly distributd nois and Gaussian nois. Howvr, Gaussian nois is much mor rlvant to PR tsting. Th drivation is not difficult but dos involv som partial intgration. Sinc th "clipping" nois componnt not hav a closd-form solution, numrical mthods must b usd to actually comput th thortical PR numbrs. thortical curv for 0,, 4, and 6-bit Ds is shown in Figur. Undrstanding th dfinitions of th trms V O,,, and th rms loading lvl ( 0log 0 ) ar vry important in ordr to avoid confusion. PR (db) BITS 4 BITS BITS 85.40dB 5.47dB 6 BIT 74.0dB 4.79dB 4 BIT 6.7dB BIT 4.00dB D RGE ±V O V O / RMS OISE LEVEL BITS 5.56dB 3.06dB 0 BIT RMS OISE LODIG LEVEL 0log 0 () db Figur : Thortical PR for 0,, 4, and 6-bit Ds Pag 3 of

4 It is important to undrstand that ths curvs ar basd on an idal D whr th only nois is th quantization nois and th clipping nois. In practic, th actual lvl of prformanc will b lss than thortical, dpnding upon th particular D undr tst. Th D input rang is bipolar, and is ±V O full-scal (hnc V O pa-to-pa). Th input rms nois lvl is, and th nois-loading factor (also calld th crst factor) is dfind as V O /. Th valu of is thrfor th pa-signal-to-rms-nois-ratio, whr is xprssd as a numrical ratio. gain, it is important to not that a pa signal of V O implis a pa-to-pa full-scal input of V O. This can bcom a point of confusion. nothr way to put it is that a fullscal sinwav givn by v(t) V O sinωt xactly fills th D input rang. This is why V O is rfrrd to as th pa amplitud. Th rciprocal of is th rms-nois-to-pa-signal-ratio, and th rms nois loading lvl is dfind as / xprssd in db: RMS ois Loading Lvl 0log0 0 log(). Eq. Th drivation for thortical PR can b bron into two parts. Th first part drivs th thortical quantization nois powr of an idal n-bit D. Th scond part drivs th "clipping nois" powr du to th limiting action of th D. Th total nois powr is th sum of th two nois powrs. Th complt rror wavform showing th two rgions is shown in Figur 3. Th thory is basd on svral assumptions. First, th quantization rror signal is not corrlatd to th input signal. This is valid providd th signal amplitud is at last svral LSBs in amplitud and th rsolution of th D is at last 6-bits. Scond, th sampling rat is twic th input nois bandwidth. Third, th D acts as an idal limitr for out-of-rang signals. Ths thr assumptions ar valid for most practical systms and lad to a rlativly straightforward solution. (x) LIPPIG REGIO q LSB (x) x V O x LIPPIG REGIO V O 0 V O (x) ERROR (IPUT OUTPUT) Figur 3: Idal D Error Wavform Pag 4 of

5 Th quantization nois componnt (xprssd as th squar of th actual quantization nois voltag to yild nois powr), has bn shown to b (s Rfrnc, for xampl): q Q, Eq. whr q is th wight of th last significant bit (LSB). It should b notd that this is th quantization nois powr masurd ovr th full yquist bandwidth dc to f s /. If th signal bandwidth is rducd, th nois in th rducd bandwidth is proportionally lss, and a corrction factor must b addd (discussd latr in this papr). ontinuing with th drivation w now that, q V O / n. Thrfor, from Equation : Q n VO / q V O n 3. Eq. 3 Howvr, V O /, thrfor V O, and substituting for V O in Equation 3 yilds: Q n 3. Eq. 4 ow, rfr to Figur 3 for th drivation of th clipping nois powr,. Th clipping nois powr is givn by th following gnral quation: From Figur 3B, (x) (x)p(x) dx Eq. 5 x, for x > V O, and thrfor Eq. 6 V O (x V ) P(x) dx, Eq. 7 whr P(x) is th Gaussian probability dnsity function and is givn by: V O O x / P(x). Eq. 8 Pag 5 of

6 Substituting V O, and combining Equation 8 with Equation 7 yilds: dx ) (x / x Eq. 9 Th final rsults of th intgration (s ppndix for complt drivation) yilds: [ ] / () ) ( Eq. 0 Whr () is th ormal Distribution Function: dt () / t. Eq. For calculation purposs, th function [ ()] can b approximatd by th following xprssion: ) () / Eq. Th total nois, T, can now b calculatd by adding Equation 4 and Equation 0: [ ] / n Q T () ) ( 3, Eq. 3 [ ] / n T () ) ( 3. Eq. 4 T T 0log 0log PR Eq. 5 Pag 6 of

7 Figur 4 shows th thortical pa valu of PR and th corrsponding valu of for Ds having rsolutions btwn 8 and 0 bits. Th vrtical axis is PR (xprssd in db pr Equation 5). Th horizontal axis is th Gaussian nois loading lvl with rspct to th pa signal lvl, /V O, xprssd in db. BITS OPTIMUM (db) MX PR (db) D Rang ±Vo Vo / RMS ois Lvl Figur 4: Thortical Maximum PR for 8 to 0-bit Ds gain it is important to rmmbr that this is th PR obtaind whn th input signal nois occupis th full yquist bandwidth, dc to f s /. For th cas of ovrsampling, whr th signal bandwidth, BW, is lss than f s /, th corrction factor of 0log 0 [f s /( BW)], oftn rfrrd to as procss gain, must b addd to th PR givn in Equation 5: PR 0log T f 0log s. Eq. 6 BW In multi-channl high frquncy communication systms, whr thr is littl or no phas corrlation btwn channls, PR can b usd to masur th distortion and nois causd by a larg numbr of individual channls, similar to an FDM systm. notch filtr is placd btwn th nois sourc and th D, and an FFT output is usd in plac of an analog rcivr. Th width of th notch filtr is st for about 500 Hz to MHz as shown in Figur 5 for th D99 -bit 65-MSPS D. Th sampling rat is 65 MSPS, th notch is cntrd at 8 MHz, and th PR is th "dpth" of th notch. n idal D will only gnrat th thortical valu of quantization nois, howvr a practical on has additional nois componnts du to additional nois and intrmodulation distortion causd by D imprfctions. otic that th PR is about 60.8 db compard to 6.7-dB thortical. Pag 7 of

8 Maing PR masurmnts digitally rquirs that th FFT hav a sufficint numbr of sampls such that thr ar at last 5 to 50 sampls within th filtr notch. Thr ar obviously tradoffs btwn th width of th notch and th FFT siz. Howvr, th notch width should not b widr than about 0% of th nois bandwidth, or th tst rsults may not b valid. In th xampl shown in Figur 5 for th D99, th FFT siz was 6,384 which givs a frquncy rsolution of 65 MSPS/6, Hz. Sinc th notch filtr width is approximatly MHz at th bottom of th notch, approximatly 50 sampls fall within th notch. Du to th spcific rquirmnts rgarding th cntr frquncy, width, and band-stop rjction, custom-mad notch filtrs ar gnrally rquird in ordr to implmnt PR tsts on Ds. chiving good rsults is difficult using just a simpl filtr and widband nois sourc. Widband Gaussian nois gnrators, such as th oisom DG7500, ar availabl that allow th usr to custom shap th nois according to thir application. Using a combination of a Gaussian nois shaping gnrator and notch filtr mas this tst asir to implmnt. Th rsults of svral FFTs must thn b avragd in ordr to rduc th variation in th PR rsults from run to run sinc thr ar only a limitd numbr of sampls which fall insid th notch itslf. Th data shown in Figur 5 rprsnts th avrag of th PR rsults for 5 individual FFT runs. PR should b masurd at svral diffrnt frquncis across th nois bandwidth, thrby rquiring svral notch filtrs. Som dgradation will occur at th highr frquncis vry similar to th dgradation in othr D ac spcifications such as SR and SFDR. PR 60.8dB OTH ETER 8MHz OTH WIDTH 3MHz PR 60.8dB f s Figur 5: D99 -bit, 65-MSPS D PR Masurs 60.8 db (6.7 db Thortical) Pag 8 of

9 SUMMRY W hav shown how PR is usd in standard FDM systms to charactriz th nois and intrmodulation distortion of multi-channl systm whr th voic channl width is 4 Hz. It can also b usd to dtrmin th optimum signal lvl to giv maximum dynamic rang. This 65-yar old concpt is still usful today in modrn multichannl wirlss systms. Bandwidths and channl spacings ar highr, but th sam concpts still apply. In many cass, PR is a good approximation to complicatd multi-ton tsting and mbodis th spcific faturs of many applications whn tsting your systm's dynamic rang (Rfrnc 7). lthough th singl ton or two-ton sinwav signal is by far th most popular mthod for tsting Ds for widband applications, PR tsting offrs a rlativly asy mthod using a Gaussian nois input to simulat a broadband multiton signal without th nd for gnrating a larg numbr of singl ton sinwavs. REFEREES. B. D. Holbroo and J. T. Dixon, "Load Rating Thory for Multi-hannl mplifirs," Bll Systm Tchnical Journal, Vol. 8, pp , Octobr W. R. Bnntt, "Spctra of Quantizd Signals," Bll Systm Tchnical Journal, Vol. 7, pp , July W. R. Bnntt, H. E. urtis, and S. O. Ric, "Intrchannl Intrfrnc in FM and PM Systms undr oiss Loading onditions," Bll Systm Tchnical Journal, Vol. 34, pp , May M.J. Tant, Th Whit ois Boo, Marconi Instrumnts, July G.. Gray and G.W. Zoli, "Quantization and Saturation ois du to /D onvrsion," IEEE Trans. rospac and Elctronic Systms, Jan. 97, pp Frd H. Irons, "Th ois Powr Ratio Thory and D Tsting," IEEE Transactions on Instrumntation and Masurmnt, Vol. 49, o. 3, Jun 000, pp IEEE Std , IEEE Standard for Trminology and Tst Mthods for nalog-to-digital onvrtrs, IEEE, 00, ISB oisom DG7500 Digital ois Gnrator, Pag 9 of

10 PPEDIX In this appndix, w will show how to valuat th following intgral from Equation 9. x / (x ) dx. Eq. This intgral is of th form: Bx (x ) dx Eq. whr, B,. Eq. 3 Intgrating Eq. : (x ) Bx dx Bx x dx Bx x dx Bx dx Eq. 4 ow, valuat th first intgral using partial intgration: x Bx dx B Th fundamntal quation for partial intgration is: Bx Lt u x and dv Bx dx. x ( Bx) Bx dx. Eq. 5 udv uv vdu. Eq. 6 Pag 0 of

11 Thn Bx Bx Bx x dx x dx B Eq. 7 B Evaluating th scond intgral in Equation 4: B B Bx dx Eq. 8 Bx Bx Bx B x dx ( Bx) dx B Eq. 9 B B Substituting Equation 8 and 9 into Equation 4: Bx ( x ) dx B B B Bx dx B B Bx dx B B B B Bx dx B B B Bx dx Eq. 0 ow from Eq. 3, substituting, B, and into Eq. 0 : / x / dx Eq. Dfin x t, x t, dx dt Eq. Pag of

12 Thn substituting into Equation and rarranging yilds: t / / dt Eq. 3 / ( )[ () ] Eq. 4 Whr () t / dt, th ormal Distribution Function Eq. 5 opyright 009, nalog Dvics, Inc. ll rights rsrvd. nalog Dvics assums no rsponsibility for customr product dsign or th us or application of customrs products or for any infringmnts of patnts or rights of othrs which may rsult from nalog Dvics assistanc. ll tradmars and logos ar proprty of thir rspctiv holdrs. Information furnishd by nalog Dvics applications and dvlopmnt tools nginrs is blivd to b accurat and rliabl, howvr no rsponsibility is assumd by nalog Dvics rgarding tchnical accuracy and topicality of th contnt providd in nalog Dvics Tutorials. Pag of

Vector Network Analyzer

Vector Network Analyzer Cours on Microwav Masurmnts Vctor Ntwork Analyzr Prof. Luca Prrgrini Dpt. of Elctrical, Computr and Biomdical Enginring Univrsity of Pavia -mail: luca.prrgrini@unipv.it wb: microwav.unipv.it Microwav Masurmnts

More information

Question 3: How do you find the relative extrema of a function?

Question 3: How do you find the relative extrema of a function? ustion 3: How do you find th rlativ trma of a function? Th stratgy for tracking th sign of th drivativ is usful for mor than dtrmining whr a function is incrasing or dcrasing. It is also usful for locating

More information

Traffic Flow Analysis (2)

Traffic Flow Analysis (2) Traffic Flow Analysis () Statistical Proprtis. Flow rat distributions. Hadway distributions. Spd distributions by Dr. Gang-Ln Chang, Profssor Dirctor of Traffic safty and Oprations Lab. Univrsity of Maryland,

More information

by John Donald, Lecturer, School of Accounting, Economics and Finance, Deakin University, Australia

by John Donald, Lecturer, School of Accounting, Economics and Finance, Deakin University, Australia Studnt Nots Cost Volum Profit Analysis by John Donald, Lcturr, School of Accounting, Economics and Financ, Dakin Univrsity, Australia As mntiond in th last st of Studnt Nots, th ability to catgoris costs

More information

Incomplete 2-Port Vector Network Analyzer Calibration Methods

Incomplete 2-Port Vector Network Analyzer Calibration Methods Incomplt -Port Vctor Ntwork nalyzr Calibration Mthods. Hnz, N. Tmpon, G. Monastrios, H. ilva 4 RF Mtrology Laboratory Instituto Nacional d Tcnología Industrial (INTI) Bunos irs, rgntina ahnz@inti.gov.ar

More information

Adverse Selection and Moral Hazard in a Model With 2 States of the World

Adverse Selection and Moral Hazard in a Model With 2 States of the World Advrs Slction and Moral Hazard in a Modl With 2 Stats of th World A modl of a risky situation with two discrt stats of th world has th advantag that it can b natly rprsntd using indiffrnc curv diagrams,

More information

QUANTITATIVE METHODS CLASSES WEEK SEVEN

QUANTITATIVE METHODS CLASSES WEEK SEVEN QUANTITATIVE METHODS CLASSES WEEK SEVEN Th rgrssion modls studid in prvious classs assum that th rspons variabl is quantitativ. Oftn, howvr, w wish to study social procsss that lad to two diffrnt outcoms.

More information

New Basis Functions. Section 8. Complex Fourier Series

New Basis Functions. Section 8. Complex Fourier Series Nw Basis Functions Sction 8 Complx Fourir Sris Th complx Fourir sris is prsntd first with priod 2, thn with gnral priod. Th connction with th ral-valud Fourir sris is xplaind and formula ar givn for convrting

More information

Lecture 3: Diffusion: Fick s first law

Lecture 3: Diffusion: Fick s first law Lctur 3: Diffusion: Fick s first law Today s topics What is diffusion? What drivs diffusion to occur? Undrstand why diffusion can surprisingly occur against th concntration gradint? Larn how to dduc th

More information

(Analytic Formula for the European Normal Black Scholes Formula)

(Analytic Formula for the European Normal Black Scholes Formula) (Analytic Formula for th Europan Normal Black Schols Formula) by Kazuhiro Iwasawa Dcmbr 2, 2001 In this short summary papr, a brif summary of Black Schols typ formula for Normal modl will b givn. Usually

More information

Category 7: Employee Commuting

Category 7: Employee Commuting 7 Catgory 7: Employ Commuting Catgory dscription This catgory includs missions from th transportation of mploys 4 btwn thir homs and thir worksits. Emissions from mploy commuting may aris from: Automobil

More information

Far Field Estimations and Simulation Model Creation from Cable Bundle Scans

Far Field Estimations and Simulation Model Creation from Cable Bundle Scans Far Fild Estimations and Simulation Modl Cration from Cabl Bundl Scans D. Rinas, S. Nidzwidz, S. Fri Dortmund Univrsity of Tchnology Dortmund, Grmany dnis.rinas@tu-dortmund.d stphan.fri@tu-dortmund.d Abstract

More information

EFFECT OF GEOMETRICAL PARAMETERS ON HEAT TRANSFER PERFORMACE OF RECTANGULAR CIRCUMFERENTIAL FINS

EFFECT OF GEOMETRICAL PARAMETERS ON HEAT TRANSFER PERFORMACE OF RECTANGULAR CIRCUMFERENTIAL FINS 25 Vol. 3 () January-March, pp.37-5/tripathi EFFECT OF GEOMETRICAL PARAMETERS ON HEAT TRANSFER PERFORMACE OF RECTANGULAR CIRCUMFERENTIAL FINS *Shilpa Tripathi Dpartmnt of Chmical Enginring, Indor Institut

More information

Lecture 20: Emitter Follower and Differential Amplifiers

Lecture 20: Emitter Follower and Differential Amplifiers Whits, EE 3 Lctur 0 Pag of 8 Lctur 0: Emittr Followr and Diffrntial Amplifirs Th nxt two amplifir circuits w will discuss ar ry important to lctrical nginring in gnral, and to th NorCal 40A spcifically.

More information

The ACES Mission Testing Fundamental Physics with Clocks in Space. L. Cacciapuoti European Space Agency

The ACES Mission Testing Fundamental Physics with Clocks in Space. L. Cacciapuoti European Space Agency Th ACES Mission Tsting Fundamntal Physics with Clocks in Spac L. Cacciapuoti Europan Spac Agncy Atomic Clock Ensmbl in Spac La Thuil 21-28 March 2015 Rncontrs d Moriond - Gravitation 2 Th Columbus modul

More information

Basis risk. When speaking about forward or futures contracts, basis risk is the market

Basis risk. When speaking about forward or futures contracts, basis risk is the market Basis risk Whn spaking about forward or futurs contracts, basis risk is th markt risk mismatch btwn a position in th spot asst and th corrsponding futurs contract. Mor broadly spaking, basis risk (also

More information

Mathematics. Mathematics 3. hsn.uk.net. Higher HSN23000

Mathematics. Mathematics 3. hsn.uk.net. Higher HSN23000 hsn uknt Highr Mathmatics UNIT Mathmatics HSN000 This documnt was producd spcially for th HSNuknt wbsit, and w rquir that any copis or drivativ works attribut th work to Highr Still Nots For mor dtails

More information

A Note on Approximating. the Normal Distribution Function

A Note on Approximating. the Normal Distribution Function Applid Mathmatical Scincs, Vol, 00, no 9, 45-49 A Not on Approimating th Normal Distribution Function K M Aludaat and M T Alodat Dpartmnt of Statistics Yarmouk Univrsity, Jordan Aludaatkm@hotmailcom and

More information

Architecture of the proposed standard

Architecture of the proposed standard Architctur of th proposd standard Introduction Th goal of th nw standardisation projct is th dvlopmnt of a standard dscribing building srvics (.g.hvac) product catalogus basd on th xprincs mad with th

More information

Foreign Exchange Markets and Exchange Rates

Foreign Exchange Markets and Exchange Rates Microconomics Topic 1: Explain why xchang rats indicat th pric of intrnational currncis and how xchang rats ar dtrmind by supply and dmand for currncis in intrnational markts. Rfrnc: Grgory Mankiw s Principls

More information

C H A P T E R 1 Writing Reports with SAS

C H A P T E R 1 Writing Reports with SAS C H A P T E R 1 Writing Rports with SAS Prsnting information in a way that s undrstood by th audinc is fundamntally important to anyon s job. Onc you collct your data and undrstand its structur, you nd

More information

AP Calculus AB 2008 Scoring Guidelines

AP Calculus AB 2008 Scoring Guidelines AP Calculus AB 8 Scoring Guidlins Th Collg Board: Conncting Studnts to Collg Succss Th Collg Board is a not-for-profit mmbrship association whos mission is to connct studnts to collg succss and opportunity.

More information

Taking the Mystery out of the Infamous Formula, "SNR = 6.02N + 1.76dB," and Why You Should Care. by Walt Kester

Taking the Mystery out of the Infamous Formula, SNR = 6.02N + 1.76dB, and Why You Should Care. by Walt Kester ITRODUCTIO Taking the Mystery out of the Infamous Formula, "SR = 6.0 + 1.76dB," and Why You Should Care by Walt Kester MT-001 TUTORIAL You don't have to deal with ADCs or DACs for long before running across

More information

An Broad outline of Redundant Array of Inexpensive Disks Shaifali Shrivastava 1 Department of Computer Science and Engineering AITR, Indore

An Broad outline of Redundant Array of Inexpensive Disks Shaifali Shrivastava 1 Department of Computer Science and Engineering AITR, Indore Intrnational Journal of mrging Tchnology and dvancd nginring Wbsit: www.ijta.com (ISSN 2250-2459, Volum 2, Issu 4, pril 2012) n road outlin of Rdundant rray of Inxpnsiv isks Shaifali Shrivastava 1 partmnt

More information

Parallel and Distributed Programming. Performance Metrics

Parallel and Distributed Programming. Performance Metrics Paralll and Distributd Programming Prformanc! wo main goals to b achivd with th dsign of aralll alications ar:! Prformanc: th caacity to rduc th tim to solv th roblm whn th comuting rsourcs incras;! Scalability:

More information

81-1-ISD Economic Considerations of Heat Transfer on Sheet Metal Duct

81-1-ISD Economic Considerations of Heat Transfer on Sheet Metal Duct Air Handling Systms Enginring & chnical Bulltin 81-1-ISD Economic Considrations of Hat ransfr on Sht Mtal Duct Othr bulltins hav dmonstratd th nd to add insulation to cooling/hating ducts in ordr to achiv

More information

Voice Biometrics: How does it work? Konstantin Simonchik

Voice Biometrics: How does it work? Konstantin Simonchik Voic Biomtrics: How dos it work? Konstantin Simonchik Lappnranta, 4 Octobr 2012 Voicprint Makup Fingrprint Facprint Lik a ingrprint or acprint, a voicprint also has availabl paramtrs that provid uniqu

More information

Econ 371: Answer Key for Problem Set 1 (Chapter 12-13)

Econ 371: Answer Key for Problem Set 1 (Chapter 12-13) con 37: Answr Ky for Problm St (Chaptr 2-3) Instructor: Kanda Naknoi Sptmbr 4, 2005. (2 points) Is it possibl for a country to hav a currnt account dficit at th sam tim and has a surplus in its balanc

More information

The example is taken from Sect. 1.2 of Vol. 1 of the CPN book.

The example is taken from Sect. 1.2 of Vol. 1 of the CPN book. Rsourc Allocation Abstract This is a small toy xampl which is wll-suitd as a first introduction to Cnts. Th CN modl is dscribd in grat dtail, xplaining th basic concpts of C-nts. Hnc, it can b rad by popl

More information

ME 612 Metal Forming and Theory of Plasticity. 6. Strain

ME 612 Metal Forming and Theory of Plasticity. 6. Strain Mtal Forming and Thory of Plasticity -mail: azsnalp@gyt.du.tr Makin Mühndisliği Bölümü Gbz Yüksk Tknoloji Enstitüsü 6.1. Uniaxial Strain Figur 6.1 Dfinition of th uniaxial strain (a) Tnsil and (b) Comprssiv.

More information

Rural and Remote Broadband Access: Issues and Solutions in Australia

Rural and Remote Broadband Access: Issues and Solutions in Australia Rural and Rmot Broadband Accss: Issus and Solutions in Australia Dr Tony Warrn Group Managr Rgulatory Stratgy Tlstra Corp Pag 1 Tlstra in confidnc Ovrviw Australia s gographical siz and population dnsity

More information

Theoretical approach to algorithm for metrological comparison of two photothermal methods for measuring of the properties of materials

Theoretical approach to algorithm for metrological comparison of two photothermal methods for measuring of the properties of materials Rvista Invstigación Cintífica, ol. 4, No. 3, Nuva época, sptimbr dicimbr 8, IN 187 8196 Thortical approach to algorithm for mtrological comparison of two photothrmal mthods for masuring of th proprtis

More information

Long run: Law of one price Purchasing Power Parity. Short run: Market for foreign exchange Factors affecting the market for foreign exchange

Long run: Law of one price Purchasing Power Parity. Short run: Market for foreign exchange Factors affecting the market for foreign exchange Lctur 6: Th Forign xchang Markt xchang Rats in th long run CON 34 Mony and Banking Profssor Yamin Ahmad xchang Rats in th Short Run Intrst Parity Big Concpts Long run: Law of on pric Purchasing Powr Parity

More information

Production Costing (Chapter 8 of W&W)

Production Costing (Chapter 8 of W&W) Production Costing (Chaptr 8 of W&W).0 Introduction Production costs rfr to th oprational costs associatd with producing lctric nrgy. Th most significant componnt of production costs ar th ful costs ncssary

More information

The international Internet site of the geoviticulture MCC system Le site Internet international du système CCM géoviticole

The international Internet site of the geoviticulture MCC system Le site Internet international du système CCM géoviticole Th intrnational Intrnt sit of th goviticultur MCC systm L sit Intrnt intrnational du systèm CCM géoviticol Flávio BELLO FIALHO 1 and Jorg TONIETTO 1 1 Rsarchr, Embrapa Uva Vinho, Caixa Postal 130, 95700-000

More information

Gold versus stock investment: An econometric analysis

Gold versus stock investment: An econometric analysis Intrnational Journal of Dvlopmnt and Sustainability Onlin ISSN: 268-8662 www.isdsnt.com/ijds Volum Numbr, Jun 202, Pag -7 ISDS Articl ID: IJDS20300 Gold vrsus stock invstmnt: An conomtric analysis Martin

More information

CPU. Rasterization. Per Vertex Operations & Primitive Assembly. Polynomial Evaluator. Frame Buffer. Per Fragment. Display List.

CPU. Rasterization. Per Vertex Operations & Primitive Assembly. Polynomial Evaluator. Frame Buffer. Per Fragment. Display List. Elmntary Rndring Elmntary rastr algorithms for fast rndring Gomtric Primitivs Lin procssing Polygon procssing Managing OpnGL Stat OpnGL uffrs OpnGL Gomtric Primitivs ll gomtric primitivs ar spcifid by

More information

Advances in GNSS Equipment

Advances in GNSS Equipment Advancs in GNSS Equipmnt Todd Humphrys With Input From: Thomas Pany, Brnhard Ridl IFEN, Carstn Strobr UFAF Larry Young, JPL David Munton, UT/ARL 2010 IGS Workshop, Nwcastl Upon Tyn Q: What advancs in GNSS

More information

[ ] These are the motor parameters that are needed: Motor voltage constant. J total (lb-in-sec^2)

[ ] These are the motor parameters that are needed: Motor voltage constant. J total (lb-in-sec^2) MEASURING MOOR PARAMEERS Fil: Motor paramtrs hs ar th motor paramtrs that ar ndd: Motor voltag constant (volts-sc/rad Motor torqu constant (lb-in/amp Motor rsistanc R a (ohms Motor inductanc L a (Hnris

More information

WORKERS' COMPENSATION ANALYST, 1774 SENIOR WORKERS' COMPENSATION ANALYST, 1769

WORKERS' COMPENSATION ANALYST, 1774 SENIOR WORKERS' COMPENSATION ANALYST, 1769 08-16-85 WORKERS' COMPENSATION ANALYST, 1774 SENIOR WORKERS' COMPENSATION ANALYST, 1769 Summary of Dutis : Dtrmins City accptanc of workrs' compnsation cass for injurd mploys; authorizs appropriat tratmnt

More information

Introduction to Finite Element Modeling

Introduction to Finite Element Modeling Introduction to Finit Elmnt Modling Enginring analysis of mchanical systms hav bn addrssd by driving diffrntial quations rlating th variabls of through basic physical principls such as quilibrium, consrvation

More information

Keywords Cloud Computing, Service level agreement, cloud provider, business level policies, performance objectives.

Keywords Cloud Computing, Service level agreement, cloud provider, business level policies, performance objectives. Volum 3, Issu 6, Jun 2013 ISSN: 2277 128X Intrnational Journal of Advancd Rsarch in Computr Scinc and Softwar Enginring Rsarch Papr Availabl onlin at: wwwijarcsscom Dynamic Ranking and Slction of Cloud

More information

Abstract. Introduction. Statistical Approach for Analyzing Cell Phone Handoff Behavior. Volume 3, Issue 1, 2009

Abstract. Introduction. Statistical Approach for Analyzing Cell Phone Handoff Behavior. Volume 3, Issue 1, 2009 Volum 3, Issu 1, 29 Statistical Approach for Analyzing Cll Phon Handoff Bhavior Shalini Saxna, Florida Atlantic Univrsity, Boca Raton, FL, shalinisaxna1@gmail.com Sad A. Rajput, Farquhar Collg of Arts

More information

Free ACA SOLUTION (IRS 1094&1095 Reporting)

Free ACA SOLUTION (IRS 1094&1095 Reporting) Fr ACA SOLUTION (IRS 1094&1095 Rporting) Th Insuranc Exchang (301) 279-1062 ACA Srvics Transmit IRS Form 1094 -C for mployrs Print & mail IRS Form 1095-C to mploys HR Assist 360 will gnrat th 1095 s for

More information

Constraint-Based Analysis of Gene Deletion in a Metabolic Network

Constraint-Based Analysis of Gene Deletion in a Metabolic Network Constraint-Basd Analysis of Gn Dltion in a Mtabolic Ntwork Abdlhalim Larhlimi and Alxandr Bockmayr DFG-Rsarch Cntr Mathon, FB Mathmatik und Informatik, Fri Univrsität Brlin, Arnimall, 3, 14195 Brlin, Grmany

More information

An Adaptive Clustering MAP Algorithm to Filter Speckle in Multilook SAR Images

An Adaptive Clustering MAP Algorithm to Filter Speckle in Multilook SAR Images An Adaptiv Clustring MAP Algorithm to Filtr Spckl in Multilook SAR Imags FÁTIMA N. S. MEDEIROS 1,3 NELSON D. A. MASCARENHAS LUCIANO DA F. COSTA 1 1 Cybrntic Vision Group IFSC -Univrsity of São Paulo Caia

More information

LG has introduced the NeON 2, with newly developed Cello Technology which improves performance and reliability. Up to 320W 300W

LG has introduced the NeON 2, with newly developed Cello Technology which improves performance and reliability. Up to 320W 300W Cllo Tchnology LG has introducd th NON 2, with nwly dvlopd Cllo Tchnology which improvs prformanc and rliability. Up to 320W 300W Cllo Tchnology Cll Connction Elctrically Low Loss Low Strss Optical Absorption

More information

Remember you can apply online. It s quick and easy. Go to www.gov.uk/advancedlearningloans. Title. Forename(s) Surname. Sex. Male Date of birth D

Remember you can apply online. It s quick and easy. Go to www.gov.uk/advancedlearningloans. Title. Forename(s) Surname. Sex. Male Date of birth D 24+ Advancd Larning Loan Application form Rmmbr you can apply onlin. It s quick and asy. Go to www.gov.uk/advancdlarningloans About this form Complt this form if: you r studying an ligibl cours at an approvd

More information

SPECIAL VOWEL SOUNDS

SPECIAL VOWEL SOUNDS SPECIAL VOWEL SOUNDS Plas consult th appropriat supplmnt for th corrsponding computr softwar lsson. Rfr to th 42 Sounds Postr for ach of th Spcial Vowl Sounds. TEACHER INFORMATION: Spcial Vowl Sounds (SVS)

More information

Development of Financial Management Reporting in MPLS

Development of Financial Management Reporting in MPLS 1 Dvlopmnt of Financial Managmnt Rporting in MPLS 1. Aim Our currnt financial rports ar structurd to dlivr an ovrall financial pictur of th dpartmnt in it s ntirty, and thr is no attmpt to provid ithr

More information

User-Perceived Quality of Service in Hybrid Broadcast and Telecommunication Networks

User-Perceived Quality of Service in Hybrid Broadcast and Telecommunication Networks Usr-Prcivd Quality of Srvic in Hybrid Broadcast and Tlcommunication Ntworks Michal Galtzka Fraunhofr Institut for Intgratd Circuits Branch Lab Dsign Automation, Drsdn, Grmany Michal.Galtzka@as.iis.fhg.d

More information

Section 7.4: Exponential Growth and Decay

Section 7.4: Exponential Growth and Decay 1 Sction 7.4: Exponntial Growth and Dcay Practic HW from Stwart Txtbook (not to hand in) p. 532 # 1-17 odd In th nxt two ction, w xamin how population growth can b modld uing diffrntial quation. W tart

More information

SPREAD OPTION VALUATION AND THE FAST FOURIER TRANSFORM

SPREAD OPTION VALUATION AND THE FAST FOURIER TRANSFORM RESEARCH PAPERS IN MANAGEMENT STUDIES SPREAD OPTION VALUATION AND THE FAST FOURIER TRANSFORM M.A.H. Dmpstr & S.S.G. Hong WP 26/2000 Th Judg Institut of Managmnt Trumpington Strt Cambridg CB2 1AG Ths paprs

More information

FACULTY SALARIES FALL 2004. NKU CUPA Data Compared To Published National Data

FACULTY SALARIES FALL 2004. NKU CUPA Data Compared To Published National Data FACULTY SALARIES FALL 2004 NKU CUPA Data Compard To Publishd National Data May 2005 Fall 2004 NKU Faculty Salaris Compard To Fall 2004 Publishd CUPA Data In th fall 2004 Northrn Kntucky Univrsity was among

More information

I. INTRODUCTION. Figure 1, The Input Display II. DESIGN PROCEDURE

I. INTRODUCTION. Figure 1, The Input Display II. DESIGN PROCEDURE Ballast Dsign Softwar Ptr Grn, Snior ighting Systms Enginr, Intrnational Rctifir, ighting Group, 101S Spulvda Boulvard, El Sgundo, CA, 9045-438 as prsntd at PCIM Europ 0 Abstract: W hav dvlopd a Windows

More information

June 2012. Enprise Rent. Enprise 1.1.6. Author: Document Version: Product: Product Version: SAP Version: 8.81.100 8.8

June 2012. Enprise Rent. Enprise 1.1.6. Author: Document Version: Product: Product Version: SAP Version: 8.81.100 8.8 Jun 22 Enpris Rnt Author: Documnt Vrsion: Product: Product Vrsion: SAP Vrsion: Enpris Enpris Rnt 88 88 Enpris Rnt 22 Enpris Solutions All rights rsrvd No parts of this work may b rproducd in any form or

More information

Planning and Managing Copper Cable Maintenance through Cost- Benefit Modeling

Planning and Managing Copper Cable Maintenance through Cost- Benefit Modeling Planning and Managing Coppr Cabl Maintnanc through Cost- Bnfit Modling Jason W. Rup U S WEST Advancd Tchnologis Bouldr Ky Words: Maintnanc, Managmnt Stratgy, Rhabilitation, Cost-bnfit Analysis, Rliability

More information

Intermediate Macroeconomic Theory / Macroeconomic Analysis (ECON 3560/5040) Final Exam (Answers)

Intermediate Macroeconomic Theory / Macroeconomic Analysis (ECON 3560/5040) Final Exam (Answers) Intrmdiat Macroconomic Thory / Macroconomic Analysis (ECON 3560/5040) Final Exam (Answrs) Part A (5 points) Stat whthr you think ach of th following qustions is tru (T), fals (F), or uncrtain (U) and brifly

More information

Hardware Modules of the RSA Algorithm

Hardware Modules of the RSA Algorithm SERBIAN JOURNAL OF ELECTRICAL ENGINEERING Vol. 11, No. 1, Fbruary 2014, 121-131 UDC: 004.3`142:621.394.14 DOI: 10.2298/SJEE140114011S Hardwar Moduls of th RSA Algorithm Vlibor Škobić 1, Branko Dokić 1,

More information

Fleet vehicles opportunities for carbon management

Fleet vehicles opportunities for carbon management Flt vhicls opportunitis for carbon managmnt Authors: Kith Robrtson 1 Dr. Kristian Stl 2 Dr. Christoph Hamlmann 3 Alksandra Krukar 4 Tdla Mzmir 5 1 Snior Sustainability Consultant & Lad Analyst, Arup 2

More information

Dehumidifiers: A Major Consumer of Residential Electricity

Dehumidifiers: A Major Consumer of Residential Electricity Dhumidifirs: A Major Consumr of Rsidntial Elctricity Laurn Mattison and Dav Korn, Th Cadmus Group, Inc. ABSTRACT An stimatd 19% of U.S. homs hav dhumidifirs, and thy can account for a substantial portion

More information

1754 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 6, NO. 5, MAY 2007

1754 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 6, NO. 5, MAY 2007 1754 IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 6, NO. 5, MAY 007 On th Fasibility of Distributd Bamforming in Wirlss Ntworks R. Mudumbai, Studnt Mmbr, IEEE, G. Barriac, Mmbr, IEEE, and U. Madhow,

More information

5 2 index. e e. Prime numbers. Prime factors and factor trees. Powers. worked example 10. base. power

5 2 index. e e. Prime numbers. Prime factors and factor trees. Powers. worked example 10. base. power Prim numbrs W giv spcial nams to numbrs dpnding on how many factors thy hav. A prim numbr has xactly two factors: itslf and 1. A composit numbr has mor than two factors. 1 is a spcial numbr nithr prim

More information

CPS 220 Theory of Computation REGULAR LANGUAGES. Regular expressions

CPS 220 Theory of Computation REGULAR LANGUAGES. Regular expressions CPS 22 Thory of Computation REGULAR LANGUAGES Rgular xprssions Lik mathmatical xprssion (5+3) * 4. Rgular xprssion ar built using rgular oprations. (By th way, rgular xprssions show up in various languags:

More information

Cloud and Big Data Summer School, Stockholm, Aug., 2015 Jeffrey D. Ullman

Cloud and Big Data Summer School, Stockholm, Aug., 2015 Jeffrey D. Ullman Cloud and Big Data Summr Scool, Stockolm, Aug., 2015 Jffry D. Ullman Givn a st of points, wit a notion of distanc btwn points, group t points into som numbr of clustrs, so tat mmbrs of a clustr ar clos

More information

Research Progress in Acoustical Application to Petroleum Logging and Seismic Exploration

Research Progress in Acoustical Application to Petroleum Logging and Seismic Exploration Snd Ordrs of Rprints at rprints@bnthamscinc.nt Th Opn Acoustics Journal 23 6 - Opn Accss Rsarch Progrss in Acoustical Application to Ptrolum Logging and Sismic Exploration Lin Fa * Li Wang Yuan Zhao 2

More information

On the moments of the aggregate discounted claims with dependence introduced by a FGM copula

On the moments of the aggregate discounted claims with dependence introduced by a FGM copula On th momnts of th aggrgat discountd claims with dpndnc introducd by a FGM copula - Mathiu BARGES Univrsité Lyon, Laboratoir SAF, Univrsité Laval - Hélèn COSSETTE Ecol Actuariat, Univrsité Laval, Québc,

More information

Factorials! Stirling s formula

Factorials! Stirling s formula Author s not: This articl may us idas you havn t larnd yt, and might sm ovrly complicatd. It is not. Undrstanding Stirling s formula is not for th faint of hart, and rquirs concntrating on a sustaind mathmatical

More information

Version 1.0. General Certificate of Education (A-level) January 2012. Mathematics MPC3. (Specification 6360) Pure Core 3. Final.

Version 1.0. General Certificate of Education (A-level) January 2012. Mathematics MPC3. (Specification 6360) Pure Core 3. Final. Vrsion.0 Gnral Crtificat of Education (A-lvl) January 0 Mathmatics MPC (Spcification 660) Pur Cor Final Mark Schm Mark schms ar prpard by th Principal Eaminr and considrd, togthr with th rlvant qustions,

More information

The price of liquidity in constant leverage strategies. Marcos Escobar, Andreas Kiechle, Luis Seco and Rudi Zagst

The price of liquidity in constant leverage strategies. Marcos Escobar, Andreas Kiechle, Luis Seco and Rudi Zagst RACSAM Rv. R. Acad. Cin. Sri A. Mat. VO. 103 2, 2009, pp. 373 385 Matmática Aplicada / Applid Mathmatics Th pric of liquidity in constant lvrag stratgis Marcos Escobar, Andras Kichl, uis Sco and Rudi Zagst

More information

IBM Healthcare Home Care Monitoring

IBM Healthcare Home Care Monitoring IBM Halthcar Hom Car Monitoring Sptmbr 30th, 2015 by Sal P. Causi, P. Eng. IBM Halthcar Businss Dvlopmnt Excutiv scausi@ca.ibm.com IBM Canada Cloud Computing Tigr Tam Homcar by dfinition 1. With a gnsis

More information

Category 11: Use of Sold Products

Category 11: Use of Sold Products 11 Catgory 11: Us of Sold Products Catgory dscription T his catgory includs missions from th us of goods and srvics sold by th rporting company in th rporting yar. A rporting company s scop 3 missions

More information

FEASIBILITY STUDY OF JUST IN TIME INVENTORY MANAGEMENT ON CONSTRUCTION PROJECT

FEASIBILITY STUDY OF JUST IN TIME INVENTORY MANAGEMENT ON CONSTRUCTION PROJECT FEASIBILITY STUDY OF JUST IN TIME INVENTORY MANAGEMENT ON CONSTRUCTION PROJECT Patil Yogndra R. 1, Patil Dhananjay S. 2 1P.G.Scholar, Dpartmnt of Civil Enginring, Rajarambapu Institut of Tchnology, Islampur,

More information

A Theoretical Model of Public Response to the Homeland Security Advisory System

A Theoretical Model of Public Response to the Homeland Security Advisory System A Thortical Modl of Public Rspons to th Homland Scurity Advisory Systm Amy (Wnxuan) Ding Dpartmnt of Information and Dcision Scincs Univrsity of Illinois Chicago, IL 60607 wxding@uicdu Using a diffrntial

More information

Fundamentals: NATURE OF HEAT, TEMPERATURE, AND ENERGY

Fundamentals: NATURE OF HEAT, TEMPERATURE, AND ENERGY Fundamntals: NATURE OF HEAT, TEMPERATURE, AND ENERGY DEFINITIONS: Quantum Mchanics study of individual intractions within atoms and molculs of particl associatd with occupid quantum stat of a singl particl

More information

Policies for Simultaneous Estimation and Optimization

Policies for Simultaneous Estimation and Optimization Policis for Simultanous Estimation and Optimization Migul Sousa Lobo Stphn Boyd Abstract Policis for th joint idntification and control of uncrtain systms ar prsntd h discussion focuss on th cas of a multipl

More information

Package Information Datasheet for Mature Altera Devices

Package Information Datasheet for Mature Altera Devices Packag Information Datasht for Matur Altra Dvics DS-PKG-16.8 This datasht provids packag and thrmal rsistanc information for matur Altra dvics. Packag information includs th ordring cod rfrnc, packag acronym,

More information

Key Management System Framework for Cloud Storage Singa Suparman, Eng Pin Kwang Temasek Polytechnic {singas,engpk}@tp.edu.sg

Key Management System Framework for Cloud Storage Singa Suparman, Eng Pin Kwang Temasek Polytechnic {singas,engpk}@tp.edu.sg Ky Managmnt Systm Framwork for Cloud Storag Singa Suparman, Eng Pin Kwang Tmask Polytchnic {singas,ngpk}@tp.du.sg Abstract In cloud storag, data ar oftn movd from on cloud storag srvic to anothr. Mor frquntly

More information

Chapter 7. Fastenings. Contents. Lawrence A. Soltis

Chapter 7. Fastenings. Contents. Lawrence A. Soltis Fastnings Lawrnc A. Soltis Chaptr 7 Contnts Nails 7 Withdrawal Rsistanc 7 Latral Rsistanc 7 5 Spiks 7 8 Stapls 7 8 Drift Bolts 7 9 Wood Scrws 7 9 Withdrawal Rsistanc 7 9 Latral Rsistanc 7 1 Lag Scrws 7

More information

2SD1898 / 2SD1733 V CEO 80V I C 1.0A. Datasheet. NPN 1.0A 80V Middle Power Transistor. Outline. Features

2SD1898 / 2SD1733 V CEO 80V I C 1.0A. Datasheet. NPN 1.0A 80V Middle Power Transistor. Outline. Features NPN.0 80V Middl Powr Transistor Datasht Faturs Paramtr V CEO ) Suitabl for Middl Powr Drivr 2) Complmntary PNP Typs : 2SB260 / 2SB8 3) Low V CE(sat) V CE(sat) = 0.4V Max. (I C /I B =500m/20m) 4) Lad Fr/RoHS

More information

A Project Management framework for Software Implementation Planning and Management

A Project Management framework for Software Implementation Planning and Management PPM02 A Projct Managmnt framwork for Softwar Implmntation Planning and Managmnt Kith Lancastr Lancastr Stratgis Kith.Lancastr@LancastrStratgis.com Th goal of introducing nw tchnologis into your company

More information

METHODS FOR HANDLING TIED EVENTS IN THE COX PROPORTIONAL HAZARD MODEL

METHODS FOR HANDLING TIED EVENTS IN THE COX PROPORTIONAL HAZARD MODEL STUDIA OECONOMICA POSNANIENSIA 204, vol. 2, no. 2 (263 Jadwiga Borucka Warsaw School of Economics, Institut of Statistics and Dmography, Evnt History and Multilvl Analysis Unit jadwiga.borucka@gmail.com

More information

A Multi-Heuristic GA for Schedule Repair in Precast Plant Production

A Multi-Heuristic GA for Schedule Repair in Precast Plant Production From: ICAPS-03 Procdings. Copyright 2003, AAAI (www.aaai.org). All rights rsrvd. A Multi-Huristic GA for Schdul Rpair in Prcast Plant Production Wng-Tat Chan* and Tan Hng W** *Associat Profssor, Dpartmnt

More information

Theoretical aspects of investment demand for gold

Theoretical aspects of investment demand for gold Victor Sazonov (Russia), Dmitry Nikolav (Russia) Thortical aspcts of invstmnt dmand for gold Abstract Th main objctiv of this articl is construction of a thortical modl of invstmnt in gold. Our modl is

More information

Real-Time Evaluation of Email Campaign Performance

Real-Time Evaluation of Email Campaign Performance Singapor Managmnt Univrsity Institutional Knowldg at Singapor Managmnt Univrsity Rsarch Collction L Kong Chian School Of Businss L Kong Chian School of Businss 10-2008 Ral-Tim Evaluation of Email Campaign

More information

CARE QUALITY COMMISSION ESSENTIAL STANDARDS OF QUALITY AND SAFETY. Outcome 10 Regulation 11 Safety and Suitability of Premises

CARE QUALITY COMMISSION ESSENTIAL STANDARDS OF QUALITY AND SAFETY. Outcome 10 Regulation 11 Safety and Suitability of Premises CARE QUALITY COMMISSION ESSENTIAL STANDARDS OF QUALITY AND SAFETY Outcom 10 Rgulation 11 Safty and Suitability of Prmiss CQC Rf 10A 10A(1) Lad Dirctor / Lad Officr Rspons Impact Liklihood Lvl of Concrn

More information

Methods for quantitative relaxation parameter mapping: measuring T 1 and T 2

Methods for quantitative relaxation parameter mapping: measuring T 1 and T 2 thods for quantitativ rlaxation paramtr mapping: masuring T and T 2 ISR April 8 th 29 Hawaii Paul S Tofts Chair in Imaging Physics, Brighton and Sussx dical School, BN 9PX, UK : p.s.tofts@bsms.ac.uk w:

More information

Sharp bounds for Sándor mean in terms of arithmetic, geometric and harmonic means

Sharp bounds for Sándor mean in terms of arithmetic, geometric and harmonic means Qian t al. Journal of Inqualitis and Applications (015) 015:1 DOI 10.1186/s1660-015-0741-1 R E S E A R C H Opn Accss Sharp bounds for Sándor man in trms of arithmtic, gomtric and harmonic mans Wi-Mao Qian

More information

Category 1: Purchased Goods and Services

Category 1: Purchased Goods and Services 1 Catgory 1: Purchasd Goods and Srvics Catgory dscription T his catgory includs all upstram (i.., cradl-to-gat) missions from th production of products purchasd or acquird by th rporting company in th

More information

Important Information Call Through... 8 Internet Telephony... 6 two PBX systems... 10 Internet Calls... 3 Internet Telephony... 2

Important Information Call Through... 8 Internet Telephony... 6 two PBX systems... 10 Internet Calls... 3 Internet Telephony... 2 Installation and Opration Intrnt Tlphony Adaptr Aurswald Box Indx C I R 884264 03 02/05 Call Duration, maximum...10 Call Through...7 Call Transportation...7 Calls Call Through...7 Intrnt Tlphony...3 two

More information

http://www.wwnorton.com/chemistry/tutorials/ch14.htm Repulsive Force

http://www.wwnorton.com/chemistry/tutorials/ch14.htm Repulsive Force ctivation nrgis http://www.wwnorton.com/chmistry/tutorials/ch14.htm (back to collision thory...) Potntial and Kintic nrgy during a collision + + ngativly chargd lctron cloud Rpulsiv Forc ngativly chargd

More information

Problem Set 6 Solutions

Problem Set 6 Solutions 6.04/18.06J Mathmatics for Computr Scic March 15, 005 Srii Dvadas ad Eric Lhma Problm St 6 Solutios Du: Moday, March 8 at 9 PM Problm 1. Sammy th Shar is a fiacial srvic providr who offrs loas o th followig

More information

REPORT' Meeting Date: April 19,201 2 Audit Committee

REPORT' Meeting Date: April 19,201 2 Audit Committee REPORT' Mting Dat: April 19,201 2 Audit Committ For Information DATE: March 21,2012 REPORT TITLE: FROM: Paul Wallis, CMA, CIA, CISA, Dirctor, Intrnal Audit OBJECTIVE To inform Audit Committ of th rsults

More information

Probabilistic maintenance and asset management on moveable storm surge barriers

Probabilistic maintenance and asset management on moveable storm surge barriers Probabilistic maintnanc an asst managmnt on movabl storm surg barrirs Patrick Wbbrs Ministry of Transport, Public Works an Watr Managmnt Civil Enginring Division A n a l y s O n r h o u F a a l k a n s

More information

Projections - 3D Viewing. Overview Lecture 4. Projection - 3D viewing. Projections. Projections Parallel Perspective

Projections - 3D Viewing. Overview Lecture 4. Projection - 3D viewing. Projections. Projections Parallel Perspective Ovrviw Lctur 4 Projctions - 3D Viwing Projctions Paralll Prspctiv 3D Viw Volum 3D Viwing Transformation Camra Modl - Assignmnt 2 OFF fils 3D mor compl than 2D On mor dimnsion Displa dvic still 2D Analog

More information

TEMPERATURE COMPENSATION OF A THERMAL FLOW SENSOR BY USING TEMPERATURE COMPENSATION NETWORK. *Corresponding author: sima@tatiuc.edu.

TEMPERATURE COMPENSATION OF A THERMAL FLOW SENSOR BY USING TEMPERATURE COMPENSATION NETWORK. *Corresponding author: sima@tatiuc.edu. National Confrnc on Postgraduat sarch (NCON-PG) 2009 st Octobr 2009, UMP Confrnc Hall, Malaysia Cntr for Graduat Studis, Univrsiti Malaysia Pahang Editors: M.M. Noor; M.M. ahman and K. Kadirgama EMPEAUE

More information

Continuity Cloud Virtual Firewall Guide

Continuity Cloud Virtual Firewall Guide Cloud Virtual Firwall Guid uh6 Vrsion 1.0 Octobr 2015 Foldr BDR Guid for Vam Pag 1 of 36 Cloud Virtual Firwall Guid CONTENTS INTRODUCTION... 3 ACCESSING THE VIRTUAL FIREWALL... 4 HYPER-V/VIRTUALBOX CONTINUITY

More information

IHE IT Infrastructure (ITI) Technical Framework Supplement. Cross-Enterprise Document Workflow (XDW) Trial Implementation

IHE IT Infrastructure (ITI) Technical Framework Supplement. Cross-Enterprise Document Workflow (XDW) Trial Implementation Intgrating th Halthcar Entrpris 5 IHE IT Infrastructur (ITI) Tchnical Framwork Supplmnt 10 Cross-Entrpris Documnt Workflow (XDW) 15 Trial Implmntation 20 Dat: Octobr 13, 2014 Author: IHE ITI Tchnical Committ

More information