MOS Field-Effect Transistors (MOSFETs) Review

Size: px
Start display at page:

Download "MOS Field-Effect Transistors (MOSFETs) Review"

Transcription

1 MOS Feld-Effect Transstors (MOSFETs Revew 4.1 evce Structure and Physcal Operaton Fgure 4.1 shows the physcal structure of the n-channel enhancement-type MOSFET. Fgure 4.1 Physcal structure of the enhancement-type NMOS transstor: (a perspectve vew; (b cross-secton. Typcally L = 0.1 to 3 mm, W = 0. to 100 mm, and the thckness of the oxde layer (tox s n the range of to 50 nm. The transstor s fabrcated on a p-type substrate. The notaton n + ndcates heavenly doped n-type regons. A thn layer of slcon doxde (SO of thckness tox (typcally -50nm whch s an excellent nsulator s grown on the surface substrate, coverng the area between source and dran. Next metal s deposted to from a 4 termnal devce: Termnals are labeled Source (S, Gate (G, ran ( and Body (B. Note that ths confguraton forms back to back dodes. Wth no bas voltage appled to the gate, the back to back dodes prevent current conducton from dran to source when a voltage VS s appled. Next consder the stuaton shown n Fgure 4. Fgure 4. The enhancement-type NMOS transstor wth a postve voltage appled to the gate. An n channel s nduced at the top of the substrate beneath the gate.

2 Postve voltage appled at vgs causes the free holes (postve charge to be repelled from the regon of the substrate under the gate. These holes are push downward nto the substrate, creatng a carrer depleton regon (depleton regon s populated by negatve charge due to the neutralzng holes that have been pushed down. In addton, the postve gate voltage attracts electrons from the n + wells, creatng an n regon (channel connectng the source and dran. Thus current can flow through ths nduced regon. The MOSFET of fgure 4. s referred to as a n-channel MOSFET (Note ann-channel MOSFET s formed n a p-type substrate. The value of vgs at whch a suffcent number of moble electrons accumulate n the channel regon to form a conductng channel s called the threshold voltage and s denoted as (Vt. Vt ranges between 0.5 to 1.0V. Havng nduced a channel and applyng a postve voltage vs, between the dran and source (Fgure 4.3 causes a current to flow through the nduced channel. Fgure 4.3 An NMOS transstor wth vgs > Vt and wth a small vs appled. The devce acts as a resstance whose value s determned by vgs. Specfcally, the channel conductance s proportonal to vgs Vt and thus s proportonal to (vgs Vt vs. Note that the depleton regon s not shown (for smplcty. Current s carred by free electrons from source to dran, thus by conventon current flow s from dran to source. The magntude of depends on the densty of electrons n the channel, whch depends on vgs>vt. As vgs exceeds Vt, the channel ncreases and the resstance across the channel s reduced (or conductance ncreases. In fact, the conductance of the channel s proporton to the excess gate voltage (vgs-vt, also known as the effectve voltage or overdrven voltage. Thus the current ncreases and s proportonal to (vgs-vt and vs (Fgure 4.4.

3 Fgure 4.4 The vs characterstcs of the MOSFET n Fg. 4.3 when the voltage appled between dran and source, vs, s kept small. The devce operates as a lnear resstor whose value s controlled by vgs. From Fgure 4.4 t s seen that the resstance s nfnte when vgs<vt and ts value decreases as vgs exceeds Vt. Increasng vgs above Vt enhances the channel, hence the name enhancementmode operaton and enhancement-type MOSFET. Fgure 4.5 llustrates the operaton of the NMOS transstor as vs s ncreased. For ths purpose vgs let be held constant. Fgure 4.5 Operaton of the enhancement NMOS transstor as vs s ncreased. The nduced channel acqures a tapered shape, and ts resstance ncreases as vs s ncreased. Here, vgs s kept constant at a value > Vt. As we travel along the channel from source to dran, the voltage ncreases from 0 to vs. The voltage between the gate and source s vgs, whle the voltage between the gate and dran s vgs-vs. The channel depth depends on ths voltage, thus the channel s no longer of unform depth. As vs s ncreased the channel becomes more tapered and ts resstance ncreases correspondngly.

4 Thus the - vs curve does not contnue as a straght lne but bends as shown n Fgure 4.6 Fgure 4.6 The dran current versus the dran-to-source voltage vs for an enhancement-type NMOS transstor operated wth vgs > Vt. When vg=vt or vgs - vs = Vt or vs= vgs Vt: the channel depth at the dran end decreases to almost zero, and the channel s sad to be pnched off. Increasng vs beyond ths pont has lttle effect (theoretcally on the channel shape and the current remans constant. The transstor s turned off when vgs < Vt (cutoff regon. When vgs > Vt, the transstor s on. The transstor s sad to be n the trode regon when vs< vgs Vt. The transstor s sad to be n the saturaton regon when vs>= vgs Vt. (Note: Saturaton n BJT means somethng completely dfferent from that n a MOSFET. The saturaton mode of BJT s analogous to the trode regon of the MOSFET. The saturaton regon of the MOSFET corresponds to the actve mode of BJT Relatonshp between -vs. The relatonshp between -vs based on the frst order approxmaton s: W 1 ncox ( vgs Vt vs vs L (Trode regon 1 W nc ox ( vgs Vt L (Saturaton regon or 1 K ( vgs Vt vs vs (Trode regon (Eq1 1 K ( vgs Vt (Saturaton regon (Eq

5 W where K s a constant K n Cox. L C ox s capactance per unt gate defned as C ox ox / tox, where ox s the permttvty of the slcon oxde and t ox s the oxde thckness determned by the process technology. n s the moblty of the electrons n the channel called surface moblty. It s a physcal parameter that depends on the process technology. L s the channel length and W s the channel wdth. The rato of W/L s know as the aspect rato of the MOSFET. The L and the W are selected by the crcut desgner to obtan desred v characterstc. Note when vs s small (Eq1 becomes K( v V v GS t S. Ths lnear relatonshp was dscussed n Fgure 4.4 and represents the operaton of the MOS transstor as a lnear resstance as vs 1 r ( ( 1 S K VGS Vt K VOV where V OV V GS t V, and VOV s referred to as the gate-to-source overdrve voltage Crcut Symbol The crcut symbols for an NMOS transstor are shown n Fgure Fgure 4.10 (a Crcut symbol for the n-channel enhancement-type MOSFET. (b Modfed crcut symbol wth an arrowhead on the source termnal to dstngush t from the dran and to ndcate devce polarty (.e., n channel. (c Smplfed crcut symbol to be used when the source s connected to the body or when the effect of the body on devce operaton s unmportant. The polarty of the transstor s determned by the arrow. Crcut symbol a: Arrow at the body (B ndcates a p-type substrate (body, thus NMOS transstor. Crcut symbol b: Although a MOSFET s symmetrcal devce, t s often useful n crcut desgn to desgnate one termnal as the source and the other as the dran. To acheve ths crcut symbol b s used. The arrow s placed on the source termnal and ndcates an NMOS transstor. Crcut symbol c: The source s connected to the body.

6 4.. The -vs Characterstc. Fgure 4.11 shows an n-channel enhancement-type MOSFET wth voltages vgs and vs appled. Fgure 4.11b shows 3 dstnct regons of operatons: The transstor s turned off when vgs < Vt. (cutoff regon. When vgs > Vt, the transstor s on. The transstor s sad to be n the trode regon when vs< vgs Vt. The transstor s sad to be n the saturaton regon when vs>= vgs Vt. Fgure 4.11 (a An n-channel enhancement-type MOSFET wth vgs and vs appled and wth the normal drectons of current flow ndcated. (b The vs characterstcs for a devce wth k n (W/L = 1.0 ma/v. The saturaton regon of the FET s used to operate as an amplfer. For operaton as a swtch, the cutoff and trode regons are utlzed. In saturaton mode, the MOSFET provdes a dran current whose value s ndependent of the dran voltage vs and s determned by the gate voltage vgs accordng to the square law relatonshp (.e. K / ( v V. A sketch s shown n Fgure 4.1. ( GS t Fgure 4.1 The vgs characterstc for an enhancement-type NMOS transstor n saturaton (Vt = 1 V, k n W/L = 1.0 ma/v.

7 The large sgnal crcut equvalent model based on ( K / ( vgs Vt s shown n Fgure Fgure 4.13 Large-sgnal equvalent-crcut model of an n-channel MOSFET operatng n the saturaton regon Fnte Output Resstance n Saturaton The large sgnal model of Fgure 4.13 ndcates that n saturaton s ndependent of vs. Ths mples that the resstance lookng nto the dran s nfnte. However, ths s based on the premse that once the channel s pnched off at the draned end and further ncreases n vs have no effect on the channel s shape. However ncreasng vs n saturaton mode, the channel pnch-off pont s moved slghtly away from the dran toward the source (Fgure The channel length s n effect reduced from L to L-L, a phenomenon known as channel-length modulaton. Fgure 4.15 Increasng vs beyond vssat causes the channel pnch-off pont to move slghtly away from the dran, thus reducng the effectve channel length (by L. Snce s nversely proportonal to the channel length, ncreases wth vs. 1 W nc ox ( vgs Vt L To account for the dependence of on vs 1 W ( nc ox vgs Vt (1 vs L where s a process-technology parameter wth dmensons V -1.

8 A typcal set of -vs characterstcs showng the effect of channel-length modulaton s shown n Fgure Fgure 4.16 Effect of vs on n the saturaton regon. The MOSFET parameter VA depends on the process technology and, for a gven process, s proportonal to the channel length L. To account for the dependence of on vs the large sgnal model ncludes an output resstance ro, as shown n Fgure Fgure 4.17 Large-sgnal equvalent crcut model of the n-channel MOSFET n saturaton, ncorporatng the output resstance ro. The output resstance models the lnear dependence of on vs and s gven by Eq. (4.. The output resstance s defned as where I r 0 W ( V L 1 I V I 1 nc ox GS Vt A V A 1

9 4.1.7 The p-channel MOSFET. A p-channel enhancement-type MOSFET (PMOS, operates n the same manner as the n-channel devce except that vgs and vs are negatve and the threshold voltage Vt s negatve. Also, the current enters the source termnal and leaves through the dran termnal. For PMOS transstor The transstor s turned off when vgs > Vt (cutoff regon. The transstor s on when vgs < Vt. The transstor s sad to be n the trode regon when vs> vgs Vt. The transstor s sad to be n the saturaton regon when vs<= vgs Vt. The relatonshp between -vs for the PMOS transstor s the same as the NMOS transstor: where K 1 K ( vgs Vt vs vs 1 K( vgs Vt 1 GS Vt K ( v p C ox W L (1 v S (Trode regon (Saturaton regon. For PMOS vgs, Vt, and vs are all negatve. (Saturaton regon [channel length modulaton] The crcut symbols for a PMOS transstor are shown n Fgure Fgure 4.18 (a Crcut symbol for the p-channel enhancement-type MOSFET. (b Modfed symbol wth an arrowhead on the source lead. (c Smplfed crcut symbol for the case where the source s connected to the body. (d The MOSFET wth voltages appled and the drectons of current flow ndcated. Note that vgs and vs are negatve and flows out of the dran termnal.

10 4..5 The Role of the Substrate Body Effect In many applcatons the source termnal S s connected to the substrate (or body termnal B. In such a case the substrate does not play any role n crcut operaton. If there s voltage dfference between the source and the body VSB then ths changes the threshold voltage Vt. Specfcally, t has been shown that ncreasng the reverse substrate bas voltage VSB results n an ncrease n Vt as V V V t to ( f SB f where Vto s the threshold voltage for VSB=0 f s a physcal parameter (typcally f =0.6V s known as the body-effect parameter and s a fabrcaton-process parameter Ths phenomenon s known as body effect. The Juncton Feld Effect Transstor (JFET As wth other FET types, the JFET s avalable n polartes: n-channel and p-channel. The basc structure of a n channel JFET s shown n Fgure 5.. The p-channel can be fabrcated smply by reversng all the semconductor types. The n regon s the channel and the p-type regons are electrcally connected together the gate. Thus the JFET s a 3 termnal devce. When vgs=0v, the applcaton of vs causes current to flow from the dran to the source. When a negatve vgs s appled, the depleton regon of the gate-channel juncton wdens and the channel becomes correspondngly narrower; thus the channel resstance ncreases and the current decreases for a gven vs. One way to thnk of a JFET s as a resstance whose value s controlled by vgs. If vgs s ncreased n the negatve drecton, eventually a value s reached at whch the depleton regon occupes the entre channel. The channel has n effect dsappeared (.e. the channel s pnched, as shown n Fgure 5.7.

11 The JFET characterstcs are dsplayed n Fgure 5.10 and Fgure 5.14, for threshold voltage Vt=Vp=-4V, ISS=8mA. Although Fgure 5.10, shows to be ndependent of vs n the saturaton regon, ths s an deal stuaton. In fact JFETs also suffer from channel-length modulaton. For JFETs the threshold voltage s usually called the pnch-off voltage and s denoted by Vp, thus Vp=Vt. For n-channel JFET Vp s negatve.

12 The JFET characterstcs can be descrbed by the same equatons used for MOSFETs. The n-channel transstor s turned off (cutoff regon when vgs <= Vp. When 0 >= vgs > Vp, and vs s postve the transstor s on. The transstor s sad to be n the trode regon when vs< vgs Vp. The transstor s sad to be n the saturaton regon (pnch-off when vs>= vgs Vp The equatons relatng and the appled voltages are 1 K ( vgs VP vs vs (Trode regon 1 K ( vgs VP (Saturaton regon 1 GS VP K ( v (1 vs (Saturaton regon [channel length modulaton] where K I SS / V. The current ISS s the dran current when vgs=0v. P

13 4.3 MOSFET Crcuts at C To keep the C analyss smple the followng assumptons Neglect channel-length modulaton, (assume =0 Example 4.5 etermne the voltages at all nodes and currents through all branches. Let Vt=1V and ma/v. Assume =0 W K n Cox =1 L Fgure 4.3 (a Crcut for Example 4.5. (b The crcut wth some of the analyss detals shown. Example 4.6 esgn the crcut so that the transstor operates n saturaton wth I = 0.5mA and V=3V. What s the largest value that R can have whle mantanng saturaton regon. Assume =0 Fgure 4.4 Crcut for Example 4.6.

14 Example 4.7 The NMOS and PMOS transstors are matched K n C ox W L p C ox W L =1 ma/v. Vtn=-Vtp=1V. Assume =0 for both devces. Fnd the dran currents N and P as well as the voltage vo for vi = 0V, -.5V and.5v. Fgure 4.5 Crcuts for Example 4.7. Example 4.9 esgn a crcut to establsh I=0.5mA. Vt=1V, supply 15V. K n C ox W L =1 ma/v. Assume =0. Use power Fgure 4.31 Crcut for Example 4.9.

15 4.6 Small Sgnal Operaton and Models Consder the crcut n Fgure 4.34 Fgure 4.34 Conceptual crcut utlzed to study the operaton of the MOSFET as a small-sgnal amplfer. The C current I s found by settng vgs=0. Thus 1 K( vgs Vt Here, we have neglected the channel-length modulaton (.e. =0. The C voltage V s V V R I To ensure the saturaton regon V VGS Vt In addton, the total voltage at the dran wll have an AC sgnal supermposed on V. Thus V has to be suffcently greater than V V to allow for the requred sgnal swng. ( GS t Next consder the stuaton wth the nput sgnal vgs appled. v V v GS The total current becomes K( VGS vgs Vt K( VGS Vt K( VGS Vt vgs K( vgs The frst term on the RHS can be recognzed as the C bas current I. The second term s a current component that s drectly proportonal to the nput sgnal vg. The thrd term s a current component that s proportonal to the square of the nput sgnal vg. Assume that vgs s kept small such that the second term s much greater that the thrd term. 1 K( VGS Vt vgs K ( vgs resultng v ( V V gs GS gs GS t If ths small-sgnal condton s satsfed, we can neglect the thrd term and can be expressed as

16 where and the MOSFET transconductance gm s Substtutng K for g I /( VGS Vt n m d I GS d K( V V v m v gs g yelds K t gs ( VGS t V I g m K ( VGS Vt VGS Vt Fgure 4.35 presents a graphcal nterpretaton of the small-sgnal operaton The total voltage at v s Thus V V v R V I v d V v R d ( I d R d g m v gs R The small sgnal voltage gan s vd Av v gs g A graphcal llustraton of the voltages s shown n Fgure m R Fgure 4.35 Small-sgnal operaton of the enhancement MOSFET amplfer.

17 Fgure 4.36 Total nstantaneous voltages vgs and v for the crcut n Fg Small Sgnal Equvalent Models From the above analyss, small sgnal models for the FET transstor are shown n Fgure Fgure 4.37 Small-sgnal models for the MOSFET: (a neglectng the dependence of on vs n saturaton (the channel-length modulaton effect; and (b ncludng the effect of channel-length modulaton, modeled by output resstance ro = VA /I.

18 Fgure 4.37b ncludes the effect of the channel-length modulaton whch s modeled by the output resstance ro. 1 V A r0 I I The T Equvalent Model. The development of the T equvalent model s shown n Fgure Fgure 4.39b adds a second current source n seres (ths does not change the termnal currents and s equvalent to Fgure 4.39a. Then node X s joned to the gate termnal G n Fgure 4.39c (ths connecton also does not change the termnal currents and s equvalent to Fgure 4.39a. Next the controlled source between node X and S can be replaced by a resstance 1/gm as shown n Fgure 4.39d. Fgure 4.39d s referred to as the T model. Fgure 4.40 shows varous T models whch nclude the effect of the channel-length modulaton. Fgure 4.39 evelopment of the T equvalent-crcut model for the MOSFET. For smplcty, ro has been omtted but can be added between and S n the T model of (d.

19 Fgure 4.40 (a The T model of the MOSFET augmented wth the dran-to-source resstance ro. (b An alternatve representaton of the T model Modelng the Body Effect The body effect occurs n a MOSFET when the source s not ted to the substrate. Thus the sgnal voltage between the body (B and source (S vbs gves rse to a dran current component whch can be modeled as gmvbs, where the body transconductance s defned as g mb g m where f V SB The small sgnal model ncludng the body effect s shown n Fgure 4.41 Fgure 4.41 Small-sgnal equvalent-crcut model of a MOSFET n whch the source s not connected to the body.

The circuit shown on Figure 1 is called the common emitter amplifier circuit. The important subsystems of this circuit are:

The circuit shown on Figure 1 is called the common emitter amplifier circuit. The important subsystems of this circuit are: polar Juncton Transstor rcuts Voltage and Power Amplfer rcuts ommon mtter Amplfer The crcut shown on Fgure 1 s called the common emtter amplfer crcut. The mportant subsystems of ths crcut are: 1. The basng

More information

Section C2: BJT Structure and Operational Modes

Section C2: BJT Structure and Operational Modes Secton 2: JT Structure and Operatonal Modes Recall that the semconductor dode s smply a pn juncton. Dependng on how the juncton s based, current may easly flow between the dode termnals (forward bas, v

More information

Linear Circuits Analysis. Superposition, Thevenin /Norton Equivalent circuits

Linear Circuits Analysis. Superposition, Thevenin /Norton Equivalent circuits Lnear Crcuts Analyss. Superposton, Theenn /Norton Equalent crcuts So far we hae explored tmendependent (resste) elements that are also lnear. A tmendependent elements s one for whch we can plot an / cure.

More information

Chapter 6 Inductance, Capacitance, and Mutual Inductance

Chapter 6 Inductance, Capacitance, and Mutual Inductance Chapter 6 Inductance Capactance and Mutual Inductance 6. The nductor 6. The capactor 6.3 Seres-parallel combnatons of nductance and capactance 6.4 Mutual nductance 6.5 Closer look at mutual nductance Oerew

More information

8.5 UNITARY AND HERMITIAN MATRICES. The conjugate transpose of a complex matrix A, denoted by A*, is given by

8.5 UNITARY AND HERMITIAN MATRICES. The conjugate transpose of a complex matrix A, denoted by A*, is given by 6 CHAPTER 8 COMPLEX VECTOR SPACES 5. Fnd the kernel of the lnear transformaton gven n Exercse 5. In Exercses 55 and 56, fnd the mage of v, for the ndcated composton, where and are gven by the followng

More information

Faraday's Law of Induction

Faraday's Law of Induction Introducton Faraday's Law o Inducton In ths lab, you wll study Faraday's Law o nducton usng a wand wth col whch swngs through a magnetc eld. You wll also examne converson o mechanc energy nto electrc energy

More information

An Alternative Way to Measure Private Equity Performance

An Alternative Way to Measure Private Equity Performance An Alternatve Way to Measure Prvate Equty Performance Peter Todd Parlux Investment Technology LLC Summary Internal Rate of Return (IRR) s probably the most common way to measure the performance of prvate

More information

The OC Curve of Attribute Acceptance Plans

The OC Curve of Attribute Acceptance Plans The OC Curve of Attrbute Acceptance Plans The Operatng Characterstc (OC) curve descrbes the probablty of acceptng a lot as a functon of the lot s qualty. Fgure 1 shows a typcal OC Curve. 10 8 6 4 1 3 4

More information

Multiple stage amplifiers

Multiple stage amplifiers Multple stage amplfers Ams: Examne a few common 2-transstor amplfers: -- Dfferental amplfers -- Cascode amplfers -- Darlngton pars -- current mrrors Introduce formal methods for exactly analysng multple

More information

(6)(2) (-6)(-4) (-4)(6) + (-2)(-3) + (4)(3) + (2)(-3) = -12-24 + 24 + 6 + 12 6 = 0

(6)(2) (-6)(-4) (-4)(6) + (-2)(-3) + (4)(3) + (2)(-3) = -12-24 + 24 + 6 + 12 6 = 0 Chapter 3 Homework Soluton P3.-, 4, 6, 0, 3, 7, P3.3-, 4, 6, P3.4-, 3, 6, 9, P3.5- P3.6-, 4, 9, 4,, 3, 40 ---------------------------------------------------- P 3.- Determne the alues of, 4,, 3, and 6

More information

SPEE Recommended Evaluation Practice #6 Definition of Decline Curve Parameters Background:

SPEE Recommended Evaluation Practice #6 Definition of Decline Curve Parameters Background: SPEE Recommended Evaluaton Practce #6 efnton of eclne Curve Parameters Background: The producton hstores of ol and gas wells can be analyzed to estmate reserves and future ol and gas producton rates and

More information

Bob York. Transistor Basics - MOSFETs

Bob York. Transistor Basics - MOSFETs Bob York Transistor Basics - MOSFETs Transistors, Conceptually So far we have considered two-terminal devices that are described by a current-voltage relationship I=f(V Resistors: Capacitors: Inductors:

More information

+ + + - - This circuit than can be reduced to a planar circuit

+ + + - - This circuit than can be reduced to a planar circuit MeshCurrent Method The meshcurrent s analog of the nodeoltage method. We sole for a new set of arables, mesh currents, that automatcally satsfy KCLs. As such, meshcurrent method reduces crcut soluton to

More information

"Research Note" APPLICATION OF CHARGE SIMULATION METHOD TO ELECTRIC FIELD CALCULATION IN THE POWER CABLES *

Research Note APPLICATION OF CHARGE SIMULATION METHOD TO ELECTRIC FIELD CALCULATION IN THE POWER CABLES * Iranan Journal of Scence & Technology, Transacton B, Engneerng, ol. 30, No. B6, 789-794 rnted n The Islamc Republc of Iran, 006 Shraz Unversty "Research Note" ALICATION OF CHARGE SIMULATION METHOD TO ELECTRIC

More information

Chapter 31B - Transient Currents and Inductance

Chapter 31B - Transient Currents and Inductance Chapter 31B - Transent Currents and Inductance A PowerPont Presentaton by Paul E. Tppens, Professor of Physcs Southern Polytechnc State Unversty 007 Objectves: After completng ths module, you should be

More information

Chapter 12 Inductors and AC Circuits

Chapter 12 Inductors and AC Circuits hapter Inductors and A rcuts awrence B. ees 6. You may make a sngle copy of ths document for personal use wthout wrtten permsson. Hstory oncepts from prevous physcs and math courses that you wll need for

More information

PSYCHOLOGICAL RESEARCH (PYC 304-C) Lecture 12

PSYCHOLOGICAL RESEARCH (PYC 304-C) Lecture 12 14 The Ch-squared dstrbuton PSYCHOLOGICAL RESEARCH (PYC 304-C) Lecture 1 If a normal varable X, havng mean µ and varance σ, s standardsed, the new varable Z has a mean 0 and varance 1. When ths standardsed

More information

What is Candidate Sampling

What is Candidate Sampling What s Canddate Samplng Say we have a multclass or mult label problem where each tranng example ( x, T ) conssts of a context x a small (mult)set of target classes T out of a large unverse L of possble

More information

Calculation of Sampling Weights

Calculation of Sampling Weights Perre Foy Statstcs Canada 4 Calculaton of Samplng Weghts 4.1 OVERVIEW The basc sample desgn used n TIMSS Populatons 1 and 2 was a two-stage stratfed cluster desgn. 1 The frst stage conssted of a sample

More information

v a 1 b 1 i, a 2 b 2 i,..., a n b n i.

v a 1 b 1 i, a 2 b 2 i,..., a n b n i. SECTION 8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS 455 8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS All the vector spaces we have studed thus far n the text are real vector spaces snce the scalars are

More information

Ring structure of splines on triangulations

Ring structure of splines on triangulations www.oeaw.ac.at Rng structure of splnes on trangulatons N. Vllamzar RICAM-Report 2014-48 www.rcam.oeaw.ac.at RING STRUCTURE OF SPLINES ON TRIANGULATIONS NELLY VILLAMIZAR Introducton For a trangulated regon

More information

Comparison of Control Strategies for Shunt Active Power Filter under Different Load Conditions

Comparison of Control Strategies for Shunt Active Power Filter under Different Load Conditions Comparson of Control Strateges for Shunt Actve Power Flter under Dfferent Load Condtons Sanjay C. Patel 1, Tushar A. Patel 2 Lecturer, Electrcal Department, Government Polytechnc, alsad, Gujarat, Inda

More information

Safety instructions VEGAVIB VB6*.GI*******

Safety instructions VEGAVIB VB6*.GI******* Safety nstructons VEGAVIB VB6*.GI******* Kosha 14-AV4BO-0107 Ex td A20, A20/21, A21 IP66 T** 0044 Document ID: 48578 Contents 1 Area of applcablty... 3 2 General nformaton... 3 3 Techncal data... 3 4 Applcaton

More information

Causal, Explanatory Forecasting. Analysis. Regression Analysis. Simple Linear Regression. Which is Independent? Forecasting

Causal, Explanatory Forecasting. Analysis. Regression Analysis. Simple Linear Regression. Which is Independent? Forecasting Causal, Explanatory Forecastng Assumes cause-and-effect relatonshp between system nputs and ts output Forecastng wth Regresson Analyss Rchard S. Barr Inputs System Cause + Effect Relatonshp The job of

More information

benefit is 2, paid if the policyholder dies within the year, and probability of death within the year is ).

benefit is 2, paid if the policyholder dies within the year, and probability of death within the year is ). REVIEW OF RISK MANAGEMENT CONCEPTS LOSS DISTRIBUTIONS AND INSURANCE Loss and nsurance: When someone s subject to the rsk of ncurrng a fnancal loss, the loss s generally modeled usng a random varable or

More information

How To Calculate The Accountng Perod Of Nequalty

How To Calculate The Accountng Perod Of Nequalty Inequalty and The Accountng Perod Quentn Wodon and Shlomo Ytzha World Ban and Hebrew Unversty September Abstract Income nequalty typcally declnes wth the length of tme taen nto account for measurement.

More information

Calculating the high frequency transmission line parameters of power cables

Calculating the high frequency transmission line parameters of power cables < ' Calculatng the hgh frequency transmsson lne parameters of power cables Authors: Dr. John Dcknson, Laboratory Servces Manager, N 0 RW E B Communcatons Mr. Peter J. Ncholson, Project Assgnment Manager,

More information

A Design Method of High-availability and Low-optical-loss Optical Aggregation Network Architecture

A Design Method of High-availability and Low-optical-loss Optical Aggregation Network Architecture A Desgn Method of Hgh-avalablty and Low-optcal-loss Optcal Aggregaton Network Archtecture Takehro Sato, Kuntaka Ashzawa, Kazumasa Tokuhash, Dasuke Ish, Satoru Okamoto and Naoak Yamanaka Dept. of Informaton

More information

HÜCKEL MOLECULAR ORBITAL THEORY

HÜCKEL MOLECULAR ORBITAL THEORY 1 HÜCKEL MOLECULAR ORBITAL THEORY In general, the vast maorty polyatomc molecules can be thought of as consstng of a collecton of two electron bonds between pars of atoms. So the qualtatve pcture of σ

More information

Rotation Kinematics, Moment of Inertia, and Torque

Rotation Kinematics, Moment of Inertia, and Torque Rotaton Knematcs, Moment of Inerta, and Torque Mathematcally, rotaton of a rgd body about a fxed axs s analogous to a lnear moton n one dmenson. Although the physcal quanttes nvolved n rotaton are qute

More information

HALL EFFECT SENSORS AND COMMUTATION

HALL EFFECT SENSORS AND COMMUTATION OEM770 5 Hall Effect ensors H P T E R 5 Hall Effect ensors The OEM770 works wth three-phase brushless motors equpped wth Hall effect sensors or equvalent feedback sgnals. In ths chapter we wll explan how

More information

NOTE: The Flatpak version has the same pinouts (Connection Diagram) as the Dual In-Line Package. *MR for LS160A and LS161A *SR for LS162A and LS163A

NOTE: The Flatpak version has the same pinouts (Connection Diagram) as the Dual In-Line Package. *MR for LS160A and LS161A *SR for LS162A and LS163A BCD DECADE COUNTERS/ 4-BIT BINARY COUNTERS The LS160A/ 161A/ 162A/ 163A are hgh-speed 4-bt synchronous counters. They are edge-trggered, synchronously presettable, and cascadable MSI buldng blocks for

More information

21 Vectors: The Cross Product & Torque

21 Vectors: The Cross Product & Torque 21 Vectors: The Cross Product & Torque Do not use our left hand when applng ether the rght-hand rule for the cross product of two vectors dscussed n ths chapter or the rght-hand rule for somethng curl

More information

Laddered Multilevel DC/AC Inverters used in Solar Panel Energy Systems

Laddered Multilevel DC/AC Inverters used in Solar Panel Energy Systems Proceedngs of the nd Internatonal Conference on Computer Scence and Electroncs Engneerng (ICCSEE 03) Laddered Multlevel DC/AC Inverters used n Solar Panel Energy Systems Fang Ln Luo, Senor Member IEEE

More information

THE METHOD OF LEAST SQUARES THE METHOD OF LEAST SQUARES

THE METHOD OF LEAST SQUARES THE METHOD OF LEAST SQUARES The goal: to measure (determne) an unknown quantty x (the value of a RV X) Realsaton: n results: y 1, y 2,..., y j,..., y n, (the measured values of Y 1, Y 2,..., Y j,..., Y n ) every result s encumbered

More information

DEFINING %COMPLETE IN MICROSOFT PROJECT

DEFINING %COMPLETE IN MICROSOFT PROJECT CelersSystems DEFINING %COMPLETE IN MICROSOFT PROJECT PREPARED BY James E Aksel, PMP, PMI-SP, MVP For Addtonal Informaton about Earned Value Management Systems and reportng, please contact: CelersSystems,

More information

Loudspeaker Voice-Coil Inductance Losses: Circuit Models, Parameter Estimation, and Effect on Frequency Response

Loudspeaker Voice-Coil Inductance Losses: Circuit Models, Parameter Estimation, and Effect on Frequency Response 44 JOURAL OF THE AUDIO EGIEERIG SOCIETY, VOL. 50, O. 6, 00 JUE Loudspeaker Voce-Col Inductance Losses: Crcut Models, Parameter Estmaton, and Effect on Frequency Response W. Marshall Leach, Jr., Professor

More information

Lecture 3: Force of Interest, Real Interest Rate, Annuity

Lecture 3: Force of Interest, Real Interest Rate, Annuity Lecture 3: Force of Interest, Real Interest Rate, Annuty Goals: Study contnuous compoundng and force of nterest Dscuss real nterest rate Learn annuty-mmedate, and ts present value Study annuty-due, and

More information

Damage detection in composite laminates using coin-tap method

Damage detection in composite laminates using coin-tap method Damage detecton n composte lamnates usng con-tap method S.J. Km Korea Aerospace Research Insttute, 45 Eoeun-Dong, Youseong-Gu, 35-333 Daejeon, Republc of Korea yaeln@kar.re.kr 45 The con-tap test has the

More information

Lecture #21. MOS Capacitor Structure

Lecture #21. MOS Capacitor Structure Lecture #21 OUTLINE The MOS apactor Electrotatc Readng: oure Reader EE130 Lecture 21, Slde 1 MOS apactor Structure MOS capactor (croectonal vew _ TE x EE130 Lecture 21, Slde 2 Typcal MOS capactor and trantor

More information

Finite Math Chapter 10: Study Guide and Solution to Problems

Finite Math Chapter 10: Study Guide and Solution to Problems Fnte Math Chapter 10: Study Gude and Soluton to Problems Basc Formulas and Concepts 10.1 Interest Basc Concepts Interest A fee a bank pays you for money you depost nto a savngs account. Prncpal P The amount

More information

FINANCIAL MATHEMATICS. A Practical Guide for Actuaries. and other Business Professionals

FINANCIAL MATHEMATICS. A Practical Guide for Actuaries. and other Business Professionals FINANCIAL MATHEMATICS A Practcal Gude for Actuares and other Busness Professonals Second Edton CHRIS RUCKMAN, FSA, MAAA JOE FRANCIS, FSA, MAAA, CFA Study Notes Prepared by Kevn Shand, FSA, FCIA Assstant

More information

Recurrence. 1 Definitions and main statements

Recurrence. 1 Definitions and main statements Recurrence 1 Defntons and man statements Let X n, n = 0, 1, 2,... be a MC wth the state space S = (1, 2,...), transton probabltes p j = P {X n+1 = j X n = }, and the transton matrx P = (p j ),j S def.

More information

Project Networks With Mixed-Time Constraints

Project Networks With Mixed-Time Constraints Project Networs Wth Mxed-Tme Constrants L Caccetta and B Wattananon Western Australan Centre of Excellence n Industral Optmsaton (WACEIO) Curtn Unversty of Technology GPO Box U1987 Perth Western Australa

More information

VRT012 User s guide V0.1. Address: Žirmūnų g. 27, Vilnius LT-09105, Phone: (370-5) 2127472, Fax: (370-5) 276 1380, Email: info@teltonika.

VRT012 User s guide V0.1. Address: Žirmūnų g. 27, Vilnius LT-09105, Phone: (370-5) 2127472, Fax: (370-5) 276 1380, Email: info@teltonika. VRT012 User s gude V0.1 Thank you for purchasng our product. We hope ths user-frendly devce wll be helpful n realsng your deas and brngng comfort to your lfe. Please take few mnutes to read ths manual

More information

where the coordinates are related to those in the old frame as follows.

where the coordinates are related to those in the old frame as follows. Chapter 2 - Cartesan Vectors and Tensors: Ther Algebra Defnton of a vector Examples of vectors Scalar multplcaton Addton of vectors coplanar vectors Unt vectors A bass of non-coplanar vectors Scalar product

More information

Section 5.4 Annuities, Present Value, and Amortization

Section 5.4 Annuities, Present Value, and Amortization Secton 5.4 Annutes, Present Value, and Amortzaton Present Value In Secton 5.2, we saw that the present value of A dollars at nterest rate per perod for n perods s the amount that must be deposted today

More information

CHAPTER 5 RELATIONSHIPS BETWEEN QUANTITATIVE VARIABLES

CHAPTER 5 RELATIONSHIPS BETWEEN QUANTITATIVE VARIABLES CHAPTER 5 RELATIONSHIPS BETWEEN QUANTITATIVE VARIABLES In ths chapter, we wll learn how to descrbe the relatonshp between two quanttatve varables. Remember (from Chapter 2) that the terms quanttatve varable

More information

Risk-based Fatigue Estimate of Deep Water Risers -- Course Project for EM388F: Fracture Mechanics, Spring 2008

Risk-based Fatigue Estimate of Deep Water Risers -- Course Project for EM388F: Fracture Mechanics, Spring 2008 Rsk-based Fatgue Estmate of Deep Water Rsers -- Course Project for EM388F: Fracture Mechancs, Sprng 2008 Chen Sh Department of Cvl, Archtectural, and Envronmental Engneerng The Unversty of Texas at Austn

More information

SIMPLE LINEAR CORRELATION

SIMPLE LINEAR CORRELATION SIMPLE LINEAR CORRELATION Smple lnear correlaton s a measure of the degree to whch two varables vary together, or a measure of the ntensty of the assocaton between two varables. Correlaton often s abused.

More information

Module 2 LOSSLESS IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur

Module 2 LOSSLESS IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur Module LOSSLESS IMAGE COMPRESSION SYSTEMS Lesson 3 Lossless Compresson: Huffman Codng Instructonal Objectves At the end of ths lesson, the students should be able to:. Defne and measure source entropy..

More information

Institute of Informatics, Faculty of Business and Management, Brno University of Technology,Czech Republic

Institute of Informatics, Faculty of Business and Management, Brno University of Technology,Czech Republic Lagrange Multplers as Quanttatve Indcators n Economcs Ivan Mezník Insttute of Informatcs, Faculty of Busness and Management, Brno Unversty of TechnologCzech Republc Abstract The quanttatve role of Lagrange

More information

Lecture 2: Single Layer Perceptrons Kevin Swingler

Lecture 2: Single Layer Perceptrons Kevin Swingler Lecture 2: Sngle Layer Perceptrons Kevn Sngler kms@cs.str.ac.uk Recap: McCulloch-Ptts Neuron Ths vastly smplfed model of real neurons s also knon as a Threshold Logc Unt: W 2 A Y 3 n W n. A set of synapses

More information

Module 2. AC to DC Converters. Version 2 EE IIT, Kharagpur 1

Module 2. AC to DC Converters. Version 2 EE IIT, Kharagpur 1 Module 2 AC to DC Converters erson 2 EE IIT, Kharagpur 1 Lesson 1 Sngle Phase Fully Controlled Rectfer erson 2 EE IIT, Kharagpur 2 Operaton and Analyss of sngle phase fully controlled converter. Instructonal

More information

Implementation of Deutsch's Algorithm Using Mathcad

Implementation of Deutsch's Algorithm Using Mathcad Implementaton of Deutsch's Algorthm Usng Mathcad Frank Roux The followng s a Mathcad mplementaton of Davd Deutsch's quantum computer prototype as presented on pages - n "Machnes, Logc and Quantum Physcs"

More information

The Full-Wave Rectifier

The Full-Wave Rectifier 9/3/2005 The Full Wae ectfer.doc /0 The Full-Wae ectfer Consder the followng juncton dode crcut: s (t) Power Lne s (t) 2 Note that we are usng a transformer n ths crcut. The job of ths transformer s to

More information

7.5. Present Value of an Annuity. Investigate

7.5. Present Value of an Annuity. Investigate 7.5 Present Value of an Annuty Owen and Anna are approachng retrement and are puttng ther fnances n order. They have worked hard and nvested ther earnngs so that they now have a large amount of money on

More information

Answer: A). There is a flatter IS curve in the high MPC economy. Original LM LM after increase in M. IS curve for low MPC economy

Answer: A). There is a flatter IS curve in the high MPC economy. Original LM LM after increase in M. IS curve for low MPC economy 4.02 Quz Solutons Fall 2004 Multple-Choce Questons (30/00 ponts) Please, crcle the correct answer for each of the followng 0 multple-choce questons. For each queston, only one of the answers s correct.

More information

TECHNICAL NOTES 4 VIBRATING SCREENS

TECHNICAL NOTES 4 VIBRATING SCREENS TECHNICAL NOTES 4 VIBRATING SCREENS Copyrght R P Kng 2000 SIZE CLASSIFICATION It s always necessary to control the sze characterstcs of partculate materal that s fed to process equpment that separates

More information

Lecture 3: Annuity. Study annuities whose payments form a geometric progression or a arithmetic progression.

Lecture 3: Annuity. Study annuities whose payments form a geometric progression or a arithmetic progression. Lecture 3: Annuty Goals: Learn contnuous annuty and perpetuty. Study annutes whose payments form a geometrc progresson or a arthmetc progresson. Dscuss yeld rates. Introduce Amortzaton Suggested Textbook

More information

Analysis of Reactivity Induced Accident for Control Rods Ejection with Loss of Cooling

Analysis of Reactivity Induced Accident for Control Rods Ejection with Loss of Cooling Analyss of Reactvty Induced Accdent for Control Rods Ejecton wth Loss of Coolng Hend Mohammed El Sayed Saad 1, Hesham Mohammed Mohammed Mansour 2 Wahab 1 1. Nuclear and Radologcal Regulatory Authorty,

More information

How Sets of Coherent Probabilities May Serve as Models for Degrees of Incoherence

How Sets of Coherent Probabilities May Serve as Models for Degrees of Incoherence 1 st Internatonal Symposum on Imprecse Probabltes and Ther Applcatons, Ghent, Belgum, 29 June 2 July 1999 How Sets of Coherent Probabltes May Serve as Models for Degrees of Incoherence Mar J. Schervsh

More information

1 Example 1: Axis-aligned rectangles

1 Example 1: Axis-aligned rectangles COS 511: Theoretcal Machne Learnng Lecturer: Rob Schapre Lecture # 6 Scrbe: Aaron Schld February 21, 2013 Last class, we dscussed an analogue for Occam s Razor for nfnte hypothess spaces that, n conjuncton

More information

CHAPTER 14 MORE ABOUT REGRESSION

CHAPTER 14 MORE ABOUT REGRESSION CHAPTER 14 MORE ABOUT REGRESSION We learned n Chapter 5 that often a straght lne descrbes the pattern of a relatonshp between two quanttatve varables. For nstance, n Example 5.1 we explored the relatonshp

More information

THE DISTRIBUTION OF LOAN PORTFOLIO VALUE * Oldrich Alfons Vasicek

THE DISTRIBUTION OF LOAN PORTFOLIO VALUE * Oldrich Alfons Vasicek HE DISRIBUION OF LOAN PORFOLIO VALUE * Oldrch Alfons Vascek he amount of captal necessary to support a portfolo of debt securtes depends on the probablty dstrbuton of the portfolo loss. Consder a portfolo

More information

Inter-Ing 2007. INTERDISCIPLINARITY IN ENGINEERING SCIENTIFIC INTERNATIONAL CONFERENCE, TG. MUREŞ ROMÂNIA, 15-16 November 2007.

Inter-Ing 2007. INTERDISCIPLINARITY IN ENGINEERING SCIENTIFIC INTERNATIONAL CONFERENCE, TG. MUREŞ ROMÂNIA, 15-16 November 2007. Inter-Ing 2007 INTERDISCIPLINARITY IN ENGINEERING SCIENTIFIC INTERNATIONAL CONFERENCE, TG. MUREŞ ROMÂNIA, 15-16 November 2007. UNCERTAINTY REGION SIMULATION FOR A SERIAL ROBOT STRUCTURE MARIUS SEBASTIAN

More information

1. Measuring association using correlation and regression

1. Measuring association using correlation and regression How to measure assocaton I: Correlaton. 1. Measurng assocaton usng correlaton and regresson We often would lke to know how one varable, such as a mother's weght, s related to another varable, such as a

More information

Interlude: Interphase Mass Transfer

Interlude: Interphase Mass Transfer Interlude: Interphase Mass Transfer The transport of mass wthn a sngle phase depends drectly on the concentraton gradent of the transportng speces n that phase. Mass may also transport from one phase to

More information

IMPACT ANALYSIS OF A CELLULAR PHONE

IMPACT ANALYSIS OF A CELLULAR PHONE 4 th ASA & μeta Internatonal Conference IMPACT AALYSIS OF A CELLULAR PHOE We Lu, 2 Hongy L Bejng FEAonlne Engneerng Co.,Ltd. Bejng, Chna ABSTRACT Drop test smulaton plays an mportant role n nvestgatng

More information

1 Battery Technology and Markets, Spring 2010 26 January 2010 Lecture 1: Introduction to Electrochemistry

1 Battery Technology and Markets, Spring 2010 26 January 2010 Lecture 1: Introduction to Electrochemistry 1 Battery Technology and Markets, Sprng 2010 Lecture 1: Introducton to Electrochemstry 1. Defnton of battery 2. Energy storage devce: voltage and capacty 3. Descrpton of electrochemcal cell and standard

More information

Solution: Let i = 10% and d = 5%. By definition, the respective forces of interest on funds A and B are. i 1 + it. S A (t) = d (1 dt) 2 1. = d 1 dt.

Solution: Let i = 10% and d = 5%. By definition, the respective forces of interest on funds A and B are. i 1 + it. S A (t) = d (1 dt) 2 1. = d 1 dt. Chapter 9 Revew problems 9.1 Interest rate measurement Example 9.1. Fund A accumulates at a smple nterest rate of 10%. Fund B accumulates at a smple dscount rate of 5%. Fnd the pont n tme at whch the forces

More information

Texas Instruments 30X IIS Calculator

Texas Instruments 30X IIS Calculator Texas Instruments 30X IIS Calculator Keystrokes for the TI-30X IIS are shown for a few topcs n whch keystrokes are unque. Start by readng the Quk Start secton. Then, before begnnng a specfc unt of the

More information

RESEARCH ON DUAL-SHAKER SINE VIBRATION CONTROL. Yaoqi FENG 1, Hanping QIU 1. China Academy of Space Technology (CAST) yaoqi.feng@yahoo.

RESEARCH ON DUAL-SHAKER SINE VIBRATION CONTROL. Yaoqi FENG 1, Hanping QIU 1. China Academy of Space Technology (CAST) yaoqi.feng@yahoo. ICSV4 Carns Australa 9- July, 007 RESEARCH ON DUAL-SHAKER SINE VIBRATION CONTROL Yaoq FENG, Hanpng QIU Dynamc Test Laboratory, BISEE Chna Academy of Space Technology (CAST) yaoq.feng@yahoo.com Abstract

More information

On some special nonlevel annuities and yield rates for annuities

On some special nonlevel annuities and yield rates for annuities On some specal nonlevel annutes and yeld rates for annutes 1 Annutes wth payments n geometrc progresson 2 Annutes wth payments n Arthmetc Progresson 1 Annutes wth payments n geometrc progresson 2 Annutes

More information

total A A reag total A A r eag

total A A reag total A A r eag hapter 5 Standardzng nalytcal Methods hapter Overvew 5 nalytcal Standards 5B albratng the Sgnal (S total ) 5 Determnng the Senstvty (k ) 5D Lnear Regresson and albraton urves 5E ompensatng for the Reagent

More information

Can Auto Liability Insurance Purchases Signal Risk Attitude?

Can Auto Liability Insurance Purchases Signal Risk Attitude? Internatonal Journal of Busness and Economcs, 2011, Vol. 10, No. 2, 159-164 Can Auto Lablty Insurance Purchases Sgnal Rsk Atttude? Chu-Shu L Department of Internatonal Busness, Asa Unversty, Tawan Sheng-Chang

More information

SUPPLIER FINANCING AND STOCK MANAGEMENT. A JOINT VIEW.

SUPPLIER FINANCING AND STOCK MANAGEMENT. A JOINT VIEW. SUPPLIER FINANCING AND STOCK MANAGEMENT. A JOINT VIEW. Lucía Isabel García Cebrán Departamento de Economía y Dreccón de Empresas Unversdad de Zaragoza Gran Vía, 2 50.005 Zaragoza (Span) Phone: 976-76-10-00

More information

PERRON FROBENIUS THEOREM

PERRON FROBENIUS THEOREM PERRON FROBENIUS THEOREM R. CLARK ROBINSON Defnton. A n n matrx M wth real entres m, s called a stochastc matrx provded () all the entres m satsfy 0 m, () each of the columns sum to one, m = for all, ()

More information

Response Coordination of Distributed Generation and Tap Changers for Voltage Support

Response Coordination of Distributed Generation and Tap Changers for Voltage Support Response Coordnaton of Dstrbuted Generaton and Tap Changers for Voltage Support An D.T. Le, Student Member, IEEE, K.M. Muttaq, Senor Member, IEEE, M. Negnevtsky, Member, IEEE,and G. Ledwch, Senor Member,

More information

Chapter 7: Answers to Questions and Problems

Chapter 7: Answers to Questions and Problems 19. Based on the nformaton contaned n Table 7-3 of the text, the food and apparel ndustres are most compettve and therefore probably represent the best match for the expertse of these managers. Chapter

More information

Fuzzy Regression and the Term Structure of Interest Rates Revisited

Fuzzy Regression and the Term Structure of Interest Rates Revisited Fuzzy Regresson and the Term Structure of Interest Rates Revsted Arnold F. Shapro Penn State Unversty Smeal College of Busness, Unversty Park, PA 68, USA Phone: -84-865-396, Fax: -84-865-684, E-mal: afs@psu.edu

More information

) of the Cell class is created containing information about events associated with the cell. Events are added to the Cell instance

) of the Cell class is created containing information about events associated with the cell. Events are added to the Cell instance Calbraton Method Instances of the Cell class (one nstance for each FMS cell) contan ADC raw data and methods assocated wth each partcular FMS cell. The calbraton method ncludes event selecton (Class Cell

More information

BERNSTEIN POLYNOMIALS

BERNSTEIN POLYNOMIALS On-Lne Geometrc Modelng Notes BERNSTEIN POLYNOMIALS Kenneth I. Joy Vsualzaton and Graphcs Research Group Department of Computer Scence Unversty of Calforna, Davs Overvew Polynomals are ncredbly useful

More information

1. Fundamentals of probability theory 2. Emergence of communication traffic 3. Stochastic & Markovian Processes (SP & MP)

1. Fundamentals of probability theory 2. Emergence of communication traffic 3. Stochastic & Markovian Processes (SP & MP) 6.3 / -- Communcaton Networks II (Görg) SS20 -- www.comnets.un-bremen.de Communcaton Networks II Contents. Fundamentals of probablty theory 2. Emergence of communcaton traffc 3. Stochastc & Markovan Processes

More information

Interest Rate Forwards and Swaps

Interest Rate Forwards and Swaps Interest Rate Forwards and Swaps Forward rate agreement (FRA) mxn FRA = agreement that fxes desgnated nterest rate coverng a perod of (n-m) months, startng n m months: Example: Depostor wants to fx rate

More information

Number of Levels Cumulative Annual operating Income per year construction costs costs ($) ($) ($) 1 600,000 35,000 100,000 2 2,200,000 60,000 350,000

Number of Levels Cumulative Annual operating Income per year construction costs costs ($) ($) ($) 1 600,000 35,000 100,000 2 2,200,000 60,000 350,000 Problem Set 5 Solutons 1 MIT s consderng buldng a new car park near Kendall Square. o unversty funds are avalable (overhead rates are under pressure and the new faclty would have to pay for tself from

More information

Marginal Benefit Incidence Analysis Using a Single Cross-section of Data. Mohamed Ihsan Ajwad and Quentin Wodon 1. World Bank.

Marginal Benefit Incidence Analysis Using a Single Cross-section of Data. Mohamed Ihsan Ajwad and Quentin Wodon 1. World Bank. Margnal Beneft Incdence Analyss Usng a Sngle Cross-secton of Data Mohamed Ihsan Ajwad and uentn Wodon World Bank August 200 Abstract In a recent paper, Lanjouw and Ravallon proposed an attractve and smple

More information

MODELING MEMORY ERRORS IN PIPELINED ANALOG-TO-DIGITAL CONVERTERS

MODELING MEMORY ERRORS IN PIPELINED ANALOG-TO-DIGITAL CONVERTERS MODELING MEMORY ERRORS IN PIPELINED ANALOG-TO-DIGITAL CONVERTERS John P. Keane, Paul J. Hurst, and Stephen H. Lews Dept. of Electrcal and Computer Eng. Unversty of Calforna, Davs, CA 9566, USA. emal: jpkeane@eee.org

More information

Minimal Coding Network With Combinatorial Structure For Instantaneous Recovery From Edge Failures

Minimal Coding Network With Combinatorial Structure For Instantaneous Recovery From Edge Failures Mnmal Codng Network Wth Combnatoral Structure For Instantaneous Recovery From Edge Falures Ashly Joseph 1, Mr.M.Sadsh Sendl 2, Dr.S.Karthk 3 1 Fnal Year ME CSE Student Department of Computer Scence Engneerng

More information

Description of the Force Method Procedure. Indeterminate Analysis Force Method 1. Force Method con t. Force Method con t

Description of the Force Method Procedure. Indeterminate Analysis Force Method 1. Force Method con t. Force Method con t Indeternate Analyss Force Method The force (flexblty) ethod expresses the relatonshps between dsplaceents and forces that exst n a structure. Prary objectve of the force ethod s to deterne the chosen set

More information

Quantization Effects in Digital Filters

Quantization Effects in Digital Filters Quantzaton Effects n Dgtal Flters Dstrbuton of Truncaton Errors In two's complement representaton an exact number would have nfntely many bts (n general). When we lmt the number of bts to some fnte value

More information

ESTABLISHING TRADE-OFFS BETWEEN SUSTAINED AND MOMENTARY RELIABILITY INDICES IN ELECTRIC DISTRIBUTION PROTECTION DESIGN: A GOAL PROGRAMMING APPROACH

ESTABLISHING TRADE-OFFS BETWEEN SUSTAINED AND MOMENTARY RELIABILITY INDICES IN ELECTRIC DISTRIBUTION PROTECTION DESIGN: A GOAL PROGRAMMING APPROACH ESTABLISHIG TRADE-OFFS BETWEE SUSTAIED AD MOMETARY RELIABILITY IDICES I ELECTRIC DISTRIBUTIO PROTECTIO DESIG: A GOAL PROGRAMMIG APPROACH Gustavo D. Ferrera, Arturo S. Bretas, Maro O. Olvera Federal Unversty

More information

Performance Analysis of Energy Consumption of Smartphone Running Mobile Hotspot Application

Performance Analysis of Energy Consumption of Smartphone Running Mobile Hotspot Application Internatonal Journal of mart Grd and lean Energy Performance Analyss of Energy onsumpton of martphone Runnng Moble Hotspot Applcaton Yun on hung a chool of Electronc Engneerng, oongsl Unversty, 511 angdo-dong,

More information

Shielding Equations and Buildup Factors Explained

Shielding Equations and Buildup Factors Explained Sheldng Equatons and uldup Factors Explaned Gamma Exposure Fluence Rate Equatons For an explanaton of the fluence rate equatons used n the unshelded and shelded calculatons, vst ths US Health Physcs Socety

More information

http://www.springer.com/0-387-25742-x

http://www.springer.com/0-387-25742-x http://www.sprnger.com/0-387-25742-x Chapter 2 FAULT AND FAULT MODELLING 2.1 Introducton The rse of system-on-chp (SOC) technology has dramatcally boosted the mportance of analog crcutry, movng t more

More information

AN APPOINTMENT ORDER OUTPATIENT SCHEDULING SYSTEM THAT IMPROVES OUTPATIENT EXPERIENCE

AN APPOINTMENT ORDER OUTPATIENT SCHEDULING SYSTEM THAT IMPROVES OUTPATIENT EXPERIENCE AN APPOINTMENT ORDER OUTPATIENT SCHEDULING SYSTEM THAT IMPROVES OUTPATIENT EXPERIENCE Yu-L Huang Industral Engneerng Department New Mexco State Unversty Las Cruces, New Mexco 88003, U.S.A. Abstract Patent

More information

Design Issues for Low Power Integrated Thermal Flow Sensors with Ultra-Wide Dynamic Range and Low Insertion Loss

Design Issues for Low Power Integrated Thermal Flow Sensors with Ultra-Wide Dynamic Range and Low Insertion Loss Mcromachnes 01, 3, 95-314; do:10.3390/m30095 Artcle OPEN ACCESS mcromachnes ISSN 07-666X www.mdp.com/journal/mcromachnes Desgn Issues for Low Power Integrated Thermal Flow Sensors wth Ultra-Wde Dynamc

More information

Time Domain simulation of PD Propagation in XLPE Cables Considering Frequency Dependent Parameters

Time Domain simulation of PD Propagation in XLPE Cables Considering Frequency Dependent Parameters Internatonal Journal of Smart Grd and Clean Energy Tme Doman smulaton of PD Propagaton n XLPE Cables Consderng Frequency Dependent Parameters We Zhang a, Jan He b, Ln Tan b, Xuejun Lv b, Hong-Je L a *

More information

The Mathematical Derivation of Least Squares

The Mathematical Derivation of Least Squares Pscholog 885 Prof. Federco The Mathematcal Dervaton of Least Squares Back when the powers that e forced ou to learn matr algera and calculus, I et ou all asked ourself the age-old queston: When the hell

More information

A DYNAMIC CRASHING METHOD FOR PROJECT MANAGEMENT USING SIMULATION-BASED OPTIMIZATION. Michael E. Kuhl Radhamés A. Tolentino-Peña

A DYNAMIC CRASHING METHOD FOR PROJECT MANAGEMENT USING SIMULATION-BASED OPTIMIZATION. Michael E. Kuhl Radhamés A. Tolentino-Peña Proceedngs of the 2008 Wnter Smulaton Conference S. J. Mason, R. R. Hll, L. Mönch, O. Rose, T. Jefferson, J. W. Fowler eds. A DYNAMIC CRASHING METHOD FOR PROJECT MANAGEMENT USING SIMULATION-BASED OPTIMIZATION

More information