Estimation of the EMI Filter Circuitry from the Insertion Loss Characteristics

Size: px
Start display at page:

Download "Estimation of the EMI Filter Circuitry from the Insertion Loss Characteristics"

Transcription

1 RADIOENGINEERING, VOL. 19, NO., JUNE Estmaton of the EMI Flter Crcutry from the Inserton Loss Characterstcs Zdeněk KEJÍK 1, Jří DŘÍNOVSKÝ, Václav RŮŽEK 3 Dept. of Rado Electroncs, Brno Techncal Unversty, Purkyňova 118, Brno, Czech Republc 1 xkejk01@stud.feec.vutbr.cz, drno@feec.vutbr.cz, 3 xruzek00@stud.feec.vutbr.cz Abstract. The paper deals wth the EMI flter models for the calculaton of the nserton loss characterstcs. The nserton loss s n fact the basc EMI flter property. Unfortunately t s not easy to precsely defne and measure ths parameter n a wde frequency range due to varablty of termnatng mpedances. The uncertanty of the potental mpedance termnaton really complcates the measurements and also comparson of the performance of flters. A model wth spurous components s ntroduced n ths paper. The procedure model desgn s also added up. The spurous components make together wth the real ones form resonant crcuts. The resonance frequences make breakages n the nserton loss characterstc. Ther resonance frequences were dentfed by the analyss of equvalent crcuts of the flter for dfferent measurng systems. The calculaton of the values of spurous components, based on knowledge of resonance frequences, s mentoned at the end of the paper. Keywords Inserton loss, EMI flter, current compensated nductor, spurous component, MNVM, Modfed Nodal Voltage Method. 1. Introducton The basc property of an EMI flter s usually descrbed by the nserton loss characterstc. That characterstc s typcally frequency dependent and t refers to the attenuaton of the EMI flter. The measurement of nserton loss s complcated by several aspects. The confguraton of the nput and output termnals of an EMI flter s changed through several types of measurement setups and ths fact complcates the measurement tself. Techncal standards dstngush several types of measurement setups accordng to nterferng sgnals, whch penetrate through the power supply network. The symmetrc part of the nserton loss defnes attenuaton of the symmetrcal nterferng sgnals whch are drectly superposed on the useful sgnal. A generator of harmonc sgnal and a measurng recever wth symmetrcal output and nput, respectvely, are necessary for the symmetrcal measurements. It s also possble to use transformers for sgnal transformaton. Measurement setup wth these transformers s depcted n Fg. 1b). The asymmetrc part of the nserton loss defnes the attenuaton of the spurous sgnals whch could be produced by spurous ground capactors of the whole system. Durng the measurement of the asymmetrcal nserton loss, the nput termnals L 1 and N 1 are connected to each other same as the output termnals L and N. Ths stuaton s shown n Fg. 1a). u 1 u 1 G G 1 L1 N L Flter 1 N 1:1 1:1 L1 L Flter N N1 1 SA u SA Fg. 1. Possble nserton loss measurng systems: a) asymmetrcal; b) symmetrcal. L1 L Flter G N N SA u c) Another problem s represented by non-defned mpedance u 1 termnatons at the nput and output sdes of the 1 flter. The mpedance of the power supply network s connected to the nput termnals of the EMI flter. The current mpedance value of the power supply network depends on the type of the power network, current load and also on the operatng frequency of the test sgnal. The output of the flter s generally loaded wth mpedance whch s usually unknown and not steady n the tme doman. Dfferent termnatng mpedances could be used for the measurement of the nserton loss of the flter accordng to the harmonzed techncal standard ČSN CISPR 17 [1]. Ths standard dstngushes several methods: the frst approach wth 50 Ω mpedances at the nput and output termnals of the flter; the approxmate method for the EMI flters wth 0.1 Ω at the nput and 100 Ω at the output and vce versa. Anyway, none of the mentoned methods corresponds to the realty. It s possble to assert, based on the exstng research, that the standard method gves optmstc results compared to the realty and the approxmate method produces pessmstc results []. It s not possble to produce a lot of physcal measurement systems wth a huge number of termnatng u a) b)

2 314 Z. KEJÍK, J. DŘÍNOVSKÝ, V. RŮŽEK, ESTIMATION OF THE EMI FILTER CIRCUITRY FROM THE INSERTION LOSS... mpedances and several test setups for precse testng, due to techncal lmts. Ths s the motvaton for creaton of precse models of EMI flters. These models wll be able to compute nserton loss characterstcs for a lot of dfferent termnatng mpedances and dfferent measurement setups. The proposed model wll be usable for dentfyng the worst case performance of the flter. The worst-case represents dentfcaton of the lowest nserton loss of the flter. It s possble to prefabrcate the worst case test setup and confrm the results by measurements.. Flter Model Based on Real Crcutry The man am of creatng the model s ts usablty n dfferent test systems (asymmetrc, symmetrc, etc.). For that reason the bascs of the model are based on real crcutry of an EMI flter. Other ways for computaton of EMI flter models, for example synthess of nserton loss characterstc, are unusable n dfferent measurement systems and mpedance condtons. The basc crcutry of EMI flter s shown n Fg. a). Ths basc crcutry has to be enlarged by spurous components of the flter [3]. The enlarged EMI flter model s depcted n Fg. b). Ths model can be called the realstc model of the flter. followng equatons [4]: I L1 = Y 11 U L1 + Y 1 U N1 + Y 13 U L + Y 14 U N, (1) I N1 = Y 1 U L1 + Y U N1 + Y 3 U L + Y 4 U N, () I L = Y 31 U L1 + Y 3 U N1 + Y 33 U L + Y 34 U N, (3) I N = Y 41 U L1 + Y 4 U N1 + Y 43 U L + Y 44 U N (4) where Y XY are the components of the admttance matrx Y of the tested EMI flter; the meanng of the currents and voltages s clear from Fg. 3. The set of equatons (1) to (4) can be easly rewrtten nto the followng matrx form: I = Y U (5) where I s the vector of unknown currents; U s the vector of varable voltages and Y s the admttance matrx of the EMI flter. Fg. 3. The EMI flter as a sx-pole. Nearly all EMI flters contan a current compensated nductor, whch complcates a model based on the crcutry of the flter. It s necessary to add up the mutual coeffcent of nducton of the current compensated nductor. The Modfed Nodal Voltage Method (MNVM) could be used to solve the crcutry [5]. Frstly, the admttance matrx has to be made up from the flter crcutry but wthout the current compensated nductor. Secondly, the admttance matrx s extended by two lnes and columns whch refer to the rest of the crcut (about the current compensated nductor) accordng to the followng equatons: U ab = jωl 1 I 1 + jωmi, (6) U cd = jωmi 1 + jωl I. (7) Each of the quantte s descrbed by Fg. 3. The mutual coeffcent of nducton s put together wth both nherent coeffcents of nducton (L 1 and L ) by: M = k L 1 L (8) Fg.. Basc model of the Schurter flter and ts enlarged crcutry. It s possble to descrbe the model of an EMI flter mathematcally as a sx-pole crcut accordng to the knowledge of the admttance parameters Y. The mathematcal descrpton could be made n agreement wth Fg. 3 and the where k represents the couplng coeffcent. The values of the nherent coeffcents of nducton L 1 and L are commonly the same for most of EMI flters (L = L 1 = L ). These mathematcal operatons and formulas can be rewrtten nto matrxes whch are descrbed n detals n [4]. Also the pvot condensaton of fnal matrxes are descrbed there and the formulas for calculaton of the nserton loss n dfferent measurement setups are determned.

3 RADIOENGINEERING, VOL. 19, NO., JUNE Reduced Equvalent Crcutres for EMI flters The real model of an EMI flter wth connecton termnals for the asymmetrc system s depcted n Fg. 4a). Fg. 4b) shows the same crcutry after reducton for the asymmetrc measurng system. The capactor C x wth ts spurous components are shorted out by the nput termnaton. Ths capactor s not taken nto account n the reduced equvalent crcutry, because there s no nfluence of ths component. The parng components for the real model wth ndex 1 or are marked n the reduced model wth no ndex number because they are dentcal, for example L p1 = L p = L p, or C p1 = C p = C p, etc. The current compensated nductor s connected n both longtudnal legs wth ts spurous component, too. Hence, all of components n the longtudnal legs due to the drect connectons L 1 /L and N 1 /N are connected parallelly. It s possble to wrte the converson equatons for the equvalent components for reduced model of the asymmetrc measurng system as C lpn = C lp, (9) R lpn = R lp. (10) The nductors whch make the current compensated nductor are also connected parallelly. Generally, t s possble to consder that both nductors have same nherent coeffcent of nducton. It means that through both nductors flows the same currents n the same drecton. Ths stuaton s depcted n Fg. 6a). The voltage over the current compensated nductors s gven by the followng relaton: U ab = U cd = jωli + jωmi = jωli(1 + k). (11) The current compensated nductor s practcable to replace by the equvalent nductor accordng to next formula: L pn = L p (1 + k). (1) The transverse leg contans the capactor C y and ts own spurous components R ys and L ys whch make two seral resonant crcuts n the asymmetrcal system. These two resonant crcuts are n fact connected parallelly. So, the components n the equvalent crcut should have these values: C yn = C y, (13) L ysn = L ys, (14) R ysn = R ys. (15) Model for the symmetrcal measurng system, whch s depcted n Fg. 5a), has also smlar crcutry. Fg. 5b) shows Fg. 4. Real model of Schurter flter n asymmetrcal system a); reduced equvalent model n asymmetrcal system b). the reduced equvalent model for the symmetrcal measurng system. Ths crcutry s extended by the nput leg compared to the asymmetrcal case. Ths leg conssts of the capactor C x and spurous components R xs and L xs. There are no parng components. These spurous components have to be ncluded n the equvalent model wth no changes and ther values as well. The current compensated nductor L p wth ts spurous components (C lp and R lp ) make the longtudnal leg. Ths leg represents two parallel resonance crcuts whch are connected to each other serally n the symmetrcal system. The values of the equvalent components could be determned by the followng equatons for the symmetrc measurng system: C lpn = C pn (16) R lpn = R lp. (17) The sngle nductors whch both create the current compensated nductor are connected accordng to Fg. 5b). The currents whch flow through them have the same values but opposte drectons. The voltages over current compensated nductor could be calculated by the followng formula: U ab = U cd = jωli + jωm( I) = jωli(1 k) (18) and the current compensated nductor should be replaced by an equvalent nductor wth the value: L pn = L p (1 k). (19) The output transverse leg n the symmetrcal system s composed of the seral combnaton of the followng components: C yn = C y, (0) L ysn = L ys, (1) R ysn = R ys. ()

4 316 Z. KEJÍK, J. DŘÍNOVSKÝ, V. RŮŽEK, ESTIMATION OF THE EMI FILTER CIRCUITRY FROM THE INSERTION LOSS... The four-pole descrpton s used n the reduced equvalent models. The models are dfferent for dfferent measurng systems, therefore t s necessary to produce several dfferent models. The connecton wth real models s not lost because the components of the equvalent crcuts were calculated by precse transformaton formulas. The formula (5) s more elementary than n the sx-pole models, so PC calculatons are faster and also the requrements put on the PC performance are lower. Fg. 5. Real model of Schurter flter n symmetrcal system a), reduced equvalent model n symmetrcal system b). Fg. 6. The connecton of the current compensated nductor n asymmetrcal system a) and n the symmetrcal system b). Now, the EMI flter could be descrbed as a four-pole crcut. Ths s the beneft for the generally formulated models and measurng systems. The usual measurng systems defne flters as four-pole crcuts. Such a flter could be defned by a smple mathematcal apparatus based on the admttance parameters. The basc mathematcal relatonshps are: I 1 = Y 11 U 1 + Y 1 U, (3) 4. Fndng Spurous Components from the Inserton Loss Characterstc The beneft of the reduced equvalent crcuts was not only n the reduced relaton formula for the calculaton of the nserton loss of the flter. Reduced crcutry s now more transparent and t s now possble to see the new relatonshps between the components and the nserton loss characterstc. Fg. 7 shows the mentoned equvalent crcuts for asymmetrc and symmetrc measurng systems. It s obvous that both crcuts contan several resonant crcuts. Each resonant crcut s collected by one component of flter and some spurous components. Each resonant crcut resonates on the resonant frequency whch could be calculated by the Thompson s formula. L and C n the Thompson s formula represent the concrete components of the resonance crcut. The resonance frequences make breakages n the nserton loss characterstc. I = Y 1 U 1 + Y U. (4) These equatons could also be defned n the matrx form (5). The exact formulaton for the nserton loss could be defned as follows [6]: L[dB] = 0 log Y 1 Y 1 Y 1 (Y S +Y L ) (Y 11+Y S ) (Y L +Y ) Y 1 (Y S +Y L ) (5) where Y S s the admttance connected to the nput termnal of the EMI flter (source), Y L s the admttance connected to the output clams (load), Y 11, Y 1, Y 1 and Y are the admttance parameters of the flter. All these parameters make up the admttance by matrx Y. Fg. 7. The reduced equvalent crcuts for the asymmetrc a) and symmetrc b) measurng systems. The result of smulaton of Schurter flter as an example s depcted n Fg. 8. Smulaton was executed wth the value of spurous components, whch was chosen accordng to the expected range of these spurous components [7]. The chosen values of spurous components are gven n Tab. 1. The standard test method wth 50 Ω nput and output mpedances was used n ths case. The components of the flter were set accordng to the data sheet and the spurous components were chosen randomly n the expected range.

5 RADIOENGINEERING, VOL. 19, NO., JUNE Spurous element Chosen value C lp [F] 1.00 e 15 R lp [Ω] 1.00 e 7 L xs [H] 1.00 e 10 R xs [Ω] 5.00 e 3 L ys [H] 1.00 e 10 R ys [Ω] 1.00 e 3 Tab. 1. Chosen value of spurous components used for smulaton. resonant frequency whch s defned by the Thomson s formula wll dffer a lot. The dfference between these two frequences for asymmetrcal and symmetrcal system can be defned exactly. The followng formula defnes the resonant frequency of the L p and C lp crcut n the symmetrcal crcut f the resonance frequency s known n the asymmetrcal system: 1 + k f lps = f lpa 1 k. (6) If the resonant frequency s known n the symmetrc system, t s possble to calculate the resonant frequency for the asymmetrcal system: f lpa = f lps 1 k 1 + k. (7) Fg. 8. Smulaton of the nserton loss of the Schurter flter n asymmetrc and symmetrc measurng systems. Fg. 8 shows the nserton loss characterstcs n the asymmetrc and also symmetrc measurng system. The characterstc for the symmetrc system has three resonance frequences, but the asymmetrc one has only two. The dfferent number of the resonance crcuts s caused by the dfferent connecton of the EMI flter n the measurng setups. Identfcaton of each resonant crcut and ts resonant frequency s necessary for the potental use of the Thompson s formula. The leg wth the capactor C y s n the same poston n both systems. The resonant frequency f cy of the resonant crcut C y, L ys and R ys s same for both measurng modes (asymmetrcal and symmetrcal). By comparson of (13) and (14) for the asymmetrcal system wth (0) and (1) for symmetrcal system, the proof for that asserton s determned. The resonant frequences are not the same n case of the current compensated nductor n dfferent measurng systems. Ths nductor s composed by the L p and spurous components C lp and R lp. The nfluence of the couplng coeffcent s dfferent n these systems and the values of the equvalent nductors are not the same accordng to (1) for the asymmetrc system and (19) for the symmetrc system. The current compensated nductor s composed from two dfferent nductors whch are wnded up usually on the same torod core. One can assume that the coeffcent of nducton reaches the hgher values between 0.9 and 1 whch refers to the tght couplng. The dfference between the equvalent nductons accordng to (1) and (19) s sgnfcant. The The experence mentoned above can be used n the dentfcaton of resonant frequences of ndvdual resonant crcuts wth C y, L p and spurous components. The remanng resonance crcut based on the C x capactor wth spurous L xs and R xs components s dsplayed only n the symmetrcal system. Each resonant frequency was matched to the exact resonant crcut. After that, the Thomson s formula can be used for calculatng the C lp, L ys and L xs components. Fg. 9 compares the results of smulaton of the Schurter nserton loss characterstcs n the symmetrc measurng system. The performance n two dfferent mpedance systems s compared: 50 Ω standard method and approxmaton method when the nput mpedance was set on the 100 Ω and output mpedance was 0.1 Ω. The resonant frequences have the same values n ths case. It s obvous from ths example that the R lp, R ys and R xs components only nhbted the resonance crcuts. The resonant crcuts could be strongly nhbted, so the frequency responses are not vsble. Ths fact really complcates the usage of ths method. The bggest nfluence of the nhbted resstors s easly vsble around the resonant frequency on a concrete resonance crcut. Ths experence could be used n optmzng the values of spurous resstors, e.g. by partcle swarm optmzaton (PSO) [8]. The optmzaton tself could have only one dmenson accordng to the knowledge of resonant frequences of each crcut, where the optmzed component has the man nfluence. It s possble to defne the part of the nserton loss characterstc for that optmzaton n ths case. Ths experence s the precondton for the successful creaton of models of EMI flters. Fgs. 10 and 11 show comparson of the measurement characterstc and the optmzed characterstc of the Schurter flter n both measurng systems. A certan correspondence between the characterstcs s evdent. PSO optmzaton was used. In the measured data, breakages of the nserton loss characterstc were searched. The ponts where the breakages appeared were prvleged. Optmzaton was based on the breakages. Drect dentfcaton of the reactve spurous component was mpossble, because the measured characterstcs had dffcult shapes.

6 318 Z. KEJÍK, J. DŘÍNOVSKÝ, V. RŮŽEK, ESTIMATION OF THE EMI FILTER CIRCUITRY FROM THE INSERTION LOSS... Spurous element Optmzed value C lp [F] 1.00 e 17 R lp [Ω] 3.19 e 3 L xs [H] 8.3 e 9 R xs [Ω] 4.01 L ys [H] 1.00 e 7 R ys [Ω] 1.87 Tab.. Optmzed values of spurous components acqured by PSO. 5. Conclusons Fg. 9. Smulaton of the nserton loss of the Schurter flter n the symmetrcal measurng system for dfferent mpedance condtons. Fg. 10. Comparson of measurement characterstc and optmzed characterstc of the Schurter flter n asymmetrcal measurng system. Fg. 11. Comparson of measurement characterstc and optmzed characterstc of the Schurter flter n symmetrcal measurng system. Some of the breakages were suppressed or not contaned because of the frequency range of measurement. Optmzed values of spurous components acqured by PSO are wrtten n Tab.. The descrpton of the model creaton was mentoned n the begnnng of the paper. The models were based on real crcutry of EMI flters and also ncluded the current compensated nductor. The spurous components of EMI flter, whch degrade the nserton loss n the hgh frequency range, were also added up. The sx-pole mathematc descrpton was used for the model concretzaton and the modfed nodal voltage method was used, too. The basc equatons were extended for the current compensated nductor descrpton. Ths led to requrement of a bgger matrx. Pvot condensaton was used for matrx reducton to the 4 4 dmenson. The equvalent crcuts for the asymmetrcal and symmetrcal measurng systems were used for better orentaton n the nserton loss characterstcs. The equvalent crcuts were based on real crcutry of the tested EMI flter. The nfluence of the nput and termnaton was also taken nto account for both systems under test. Same values of the par components were consdered. The advantage of the equvalent crcuts s n the four-pole confguraton, whch corresponds to the basc measurng setups. The fnal calculaton of the nserton loss characterstcs s easer and faster. The relatonshp between the equvalent crcuts and the nserton loss characterstcs were ntroduced at the end of the artcle. Th the smlartes of both measurng systems were dscussed. The matchng between the resonant crcuts and the exact resonant frequenes were shown n addton. After ths dentfcaton, t s possble to calculate the values of the reactve spurous components accordng to the knowledge of the resonance frequency by the Thompson s formula. The confrontaton wth the measured characterstcs was shown at the end of the paper. Spurous components of EMI flter were acqured by PSO, whch was based on breakages found n measured data. The measured and the optmzed characterstcs are not completely smlar. Ths may be caused by spurous elements of the whole measurement system, especally n hgher frequency range. These components were not nvolved n the used model. The future work wll be focused on creaton of more accurate models of the whole measurement system based on physcal measurement.

7 RADIOENGINEERING, VOL. 19, NO., JUNE Acknowledgements Ths paper has been prepared as a part of the soluton of the grant no. 10/07/0688 Advanced mcrowave structures on non-conventonal substrates of the Czech Scence Foundaton, grant no. 10/09/P15 Advanced EMI flters Inserton Loss Performance Analyses n System wth Uncertan Impedance Termnaton of the Czech Scence Foundaton, grant no. GD10/08/H07 Advanced method, structures and components of electronc wreless communcaton of the Czech Scence Foundaton and wth support of the research plan MSM Advanced Electronc Communcaton Systems and Technologes (ELCOM). References [1] ČSN CISPR 17: Methods of Measurement of the Suppresson Characterstcs of Passve Rado Interference Flters and Suppresson Components. Czech Techncal Standard. Prague: Czech Normalzaton Insttute, pages. (n Czech). [] Schaffner, Swtzerland. Usng 50 Ω Attenuaton Curves to: Compare Flter Performances; Select Second Sources; Do Incomng Inspecton. (applcaton note). [Onlne] Cted Avalable at pdf/ techncal nformatons/. [3] DŘÍNOVSKÝ, J., OLIVA, L. Modelng of performance of EMI flter. In Zvůle 007. Brno (Czech Republc): FEEC BUT, 007, p (n Czech). [4] DŘÍNOVSKÝ, J., SVAČINA, J., RAIDA, Z. Smple models of EMI flters for low frequency range. Radoengneerng, 008, vol. 17, no. 3, p [5] BIOLEK, D. Solvng Electrcal Crcuts. Prague: BEN, 004. (n Czech). [6] DŘÍNOVSKÝ, J., SVAČINA, J. Estmaton of EMI flter performance for the worst-case system. Radoengneerng, 006, vol. 15, no. 4, p [7] TIHANYI, L. Electromagnetc Compatblty n Power Electroncs. The IEEE Press, 004. [8] ROBINSON, J., RAHMAT-SAMII,Y. Partcle swarm optmzaton n electromagnetcs. IEEE Transactons on Antennas and Propagaton, 004, vol. 5, no., p About Authors... Zdeněk KEJÍK was born n Valtce, Czech Republc. He receved hs M.Sc. degree n electroncs and communcaton from the Brno Unversty of Technology, Czech Republc, n 009. Hs research nterests nclude selected topcs of EMI flters, ther desgn and measurement. Currently, he has been workng towards PhD. degree at Department of Rado Electroncs, Brno Unversty of Technology. Jří DŘÍNOVSKÝ was born n Ltomyšl, Czech Republc, n He receved the M.Sc. and Ph.D. degrees n electroncs and communcaton from the Brno Unversty of Technology, Czech Republc, n 003 and 007, respectvely. Hs Ph.D. thess was awarded by Eml Škoda Award n 007. Snce 006 he has been an assstant professor n electroncs and communcaton at the Dept. of Rado Electroncs, Brno Unversty of Technology. Hs research actvtes nclude selected topcs of EMC, EMI measurements, and EMS testng. He s also nterested n specalzed problems of radofrequency and mcrowave measurements. Snce 008, he has been leadng the Radoelectronc measurements course n master degree study program and snce 009 he has been leadng the Electromagnetc compatblty course n bachelor study program at the Faculty of Electrcal Engneerng and Communcaton, Brno Unversty of Technology. He s a member of IEEE. Václav RŮŽEK was born n Tábor, Czech Republc, n He receved hs M.Sc. from the Brno Unversty of Technology, Brno, Czech Republc, n 009. Hs research nterests nclude EMC, pre-complance EMS testng and AVR mcrocontrollers.

"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

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

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

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

+ + + - - 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

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

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

Frequency Selective IQ Phase and IQ Amplitude Imbalance Adjustments for OFDM Direct Conversion Transmitters

Frequency Selective IQ Phase and IQ Amplitude Imbalance Adjustments for OFDM Direct Conversion Transmitters Frequency Selectve IQ Phase and IQ Ampltude Imbalance Adjustments for OFDM Drect Converson ransmtters Edmund Coersmeer, Ernst Zelnsk Noka, Meesmannstrasse 103, 44807 Bochum, Germany edmund.coersmeer@noka.com,

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

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

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

A Secure Password-Authenticated Key Agreement Using Smart Cards

A Secure Password-Authenticated Key Agreement Using Smart Cards A Secure Password-Authentcated Key Agreement Usng Smart Cards Ka Chan 1, Wen-Chung Kuo 2 and Jn-Chou Cheng 3 1 Department of Computer and Informaton Scence, R.O.C. Mltary Academy, Kaohsung 83059, Tawan,

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

On the Optimal Control of a Cascade of Hydro-Electric Power Stations

On the Optimal Control of a Cascade of Hydro-Electric Power Stations On the Optmal Control of a Cascade of Hydro-Electrc Power Statons M.C.M. Guedes a, A.F. Rbero a, G.V. Smrnov b and S. Vlela c a Department of Mathematcs, School of Scences, Unversty of Porto, Portugal;

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

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

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

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

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

Traffic-light a stress test for life insurance provisions

Traffic-light a stress test for life insurance provisions MEMORANDUM Date 006-09-7 Authors Bengt von Bahr, Göran Ronge Traffc-lght a stress test for lfe nsurance provsons Fnansnspetonen P.O. Box 6750 SE-113 85 Stocholm [Sveavägen 167] Tel +46 8 787 80 00 Fax

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

Study on Model of Risks Assessment of Standard Operation in Rural Power Network

Study on Model of Risks Assessment of Standard Operation in Rural Power Network Study on Model of Rsks Assessment of Standard Operaton n Rural Power Network Qngj L 1, Tao Yang 2 1 Qngj L, College of Informaton and Electrcal Engneerng, Shenyang Agrculture Unversty, Shenyang 110866,

More information

A hybrid global optimization algorithm based on parallel chaos optimization and outlook algorithm

A hybrid global optimization algorithm based on parallel chaos optimization and outlook algorithm Avalable onlne www.ocpr.com Journal of Chemcal and Pharmaceutcal Research, 2014, 6(7):1884-1889 Research Artcle ISSN : 0975-7384 CODEN(USA) : JCPRC5 A hybrd global optmzaton algorthm based on parallel

More information

IDENTIFICATION AND CORRECTION OF A COMMON ERROR IN GENERAL ANNUITY CALCULATIONS

IDENTIFICATION AND CORRECTION OF A COMMON ERROR IN GENERAL ANNUITY CALCULATIONS IDENTIFICATION AND CORRECTION OF A COMMON ERROR IN GENERAL ANNUITY CALCULATIONS Chrs Deeley* Last revsed: September 22, 200 * Chrs Deeley s a Senor Lecturer n the School of Accountng, Charles Sturt Unversty,

More information

RELIABILITY, RISK AND AVAILABILITY ANLYSIS OF A CONTAINER GANTRY CRANE ABSTRACT

RELIABILITY, RISK AND AVAILABILITY ANLYSIS OF A CONTAINER GANTRY CRANE ABSTRACT Kolowrock Krzysztof Joanna oszynska MODELLING ENVIRONMENT AND INFRATRUCTURE INFLUENCE ON RELIABILITY AND OPERATION RT&A # () (Vol.) March RELIABILITY RIK AND AVAILABILITY ANLYI OF A CONTAINER GANTRY CRANE

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

An Isolated Feedback Circuit for a Flyback Charging Circuit

An Isolated Feedback Circuit for a Flyback Charging Circuit Proceedngs of the 007 WSEAS Int. Conference on Crcuts, Systems, Sgnal and Telecommuncatons, Gold Coast, Australa, January 17-19, 007 35 An Isolated Feedback Crcut for a Flyback Chargng Crcut LI JIE, HUAG

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

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

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

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

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

An Analysis of Central Processor Scheduling in Multiprogrammed Computer Systems

An Analysis of Central Processor Scheduling in Multiprogrammed Computer Systems STAN-CS-73-355 I SU-SE-73-013 An Analyss of Central Processor Schedulng n Multprogrammed Computer Systems (Dgest Edton) by Thomas G. Prce October 1972 Techncal Report No. 57 Reproducton n whole or n part

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

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

A Study on Secure Data Storage Strategy in Cloud Computing

A Study on Secure Data Storage Strategy in Cloud Computing Journal of Convergence Informaton Technology Volume 5, Number 7, Setember 00 A Study on Secure Data Storage Strategy n Cloud Comutng Danwe Chen, Yanjun He, Frst Author College of Comuter Technology, Nanjng

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

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

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

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

An interactive system for structure-based ASCII art creation

An interactive system for structure-based ASCII art creation An nteractve system for structure-based ASCII art creaton Katsunor Myake Henry Johan Tomoyuk Nshta The Unversty of Tokyo Nanyang Technologcal Unversty Abstract Non-Photorealstc Renderng (NPR), whose am

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

Intra-year Cash Flow Patterns: A Simple Solution for an Unnecessary Appraisal Error

Intra-year Cash Flow Patterns: A Simple Solution for an Unnecessary Appraisal Error Intra-year Cash Flow Patterns: A Smple Soluton for an Unnecessary Apprasal Error By C. Donald Wggns (Professor of Accountng and Fnance, the Unversty of North Florda), B. Perry Woodsde (Assocate Professor

More information

Feature selection for intrusion detection. Slobodan Petrović NISlab, Gjøvik University College

Feature selection for intrusion detection. Slobodan Petrović NISlab, Gjøvik University College Feature selecton for ntruson detecton Slobodan Petrovć NISlab, Gjøvk Unversty College Contents The feature selecton problem Intruson detecton Traffc features relevant for IDS The CFS measure The mrmr measure

More information

Support Vector Machines

Support Vector Machines Support Vector Machnes Max Wellng Department of Computer Scence Unversty of Toronto 10 Kng s College Road Toronto, M5S 3G5 Canada wellng@cs.toronto.edu Abstract Ths s a note to explan support vector machnes.

More information

An Interest-Oriented Network Evolution Mechanism for Online Communities

An Interest-Oriented Network Evolution Mechanism for Online Communities An Interest-Orented Network Evoluton Mechansm for Onlne Communtes Cahong Sun and Xaopng Yang School of Informaton, Renmn Unversty of Chna, Bejng 100872, P.R. Chna {chsun,yang}@ruc.edu.cn Abstract. Onlne

More information

The Development of Web Log Mining Based on Improve-K-Means Clustering Analysis

The Development of Web Log Mining Based on Improve-K-Means Clustering Analysis The Development of Web Log Mnng Based on Improve-K-Means Clusterng Analyss TngZhong Wang * College of Informaton Technology, Luoyang Normal Unversty, Luoyang, 471022, Chna wangtngzhong2@sna.cn Abstract.

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

Face Verification Problem. Face Recognition Problem. Application: Access Control. Biometric Authentication. Face Verification (1:1 matching)

Face Verification Problem. Face Recognition Problem. Application: Access Control. Biometric Authentication. Face Verification (1:1 matching) Face Recognton Problem Face Verfcaton Problem Face Verfcaton (1:1 matchng) Querymage face query Face Recognton (1:N matchng) database Applcaton: Access Control www.vsage.com www.vsoncs.com Bometrc Authentcaton

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

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

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

Extending Probabilistic Dynamic Epistemic Logic

Extending Probabilistic Dynamic Epistemic Logic Extendng Probablstc Dynamc Epstemc Logc Joshua Sack May 29, 2008 Probablty Space Defnton A probablty space s a tuple (S, A, µ), where 1 S s a set called the sample space. 2 A P(S) s a σ-algebra: a set

More information

A Novel Methodology of Working Capital Management for Large. Public Constructions by Using Fuzzy S-curve Regression

A Novel Methodology of Working Capital Management for Large. Public Constructions by Using Fuzzy S-curve Regression Novel Methodology of Workng Captal Management for Large Publc Constructons by Usng Fuzzy S-curve Regresson Cheng-Wu Chen, Morrs H. L. Wang and Tng-Ya Hseh Department of Cvl Engneerng, Natonal Central Unversty,

More information

Brigid Mullany, Ph.D University of North Carolina, Charlotte

Brigid Mullany, Ph.D University of North Carolina, Charlotte Evaluaton And Comparson Of The Dfferent Standards Used To Defne The Postonal Accuracy And Repeatablty Of Numercally Controlled Machnng Center Axes Brgd Mullany, Ph.D Unversty of North Carolna, Charlotte

More information

Application of Multi-Agents for Fault Detection and Reconfiguration of Power Distribution Systems

Application of Multi-Agents for Fault Detection and Reconfiguration of Power Distribution Systems 1 Applcaton of Mult-Agents for Fault Detecton and Reconfguraton of Power Dstrbuton Systems K. Nareshkumar, Member, IEEE, M. A. Choudhry, Senor Member, IEEE, J. La, A. Felach, Senor Member, IEEE Abstract--The

More information

Design and Development of a Security Evaluation Platform Based on International Standards

Design and Development of a Security Evaluation Platform Based on International Standards Internatonal Journal of Informatcs Socety, VOL.5, NO.2 (203) 7-80 7 Desgn and Development of a Securty Evaluaton Platform Based on Internatonal Standards Yuj Takahash and Yoshm Teshgawara Graduate School

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

An Empirical Study of Search Engine Advertising Effectiveness

An Empirical Study of Search Engine Advertising Effectiveness An Emprcal Study of Search Engne Advertsng Effectveness Sanjog Msra, Smon School of Busness Unversty of Rochester Edeal Pnker, Smon School of Busness Unversty of Rochester Alan Rmm-Kaufman, Rmm-Kaufman

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

Data Mining from the Information Systems: Performance Indicators at Masaryk University in Brno

Data Mining from the Information Systems: Performance Indicators at Masaryk University in Brno Data Mnng from the Informaton Systems: Performance Indcators at Masaryk Unversty n Brno Mkuláš Bek EUA Workshop Strasbourg, 1-2 December 2006 1 Locaton of Brno Brno EUA Workshop Strasbourg, 1-2 December

More information

Analysis and Modeling of Buck Converter in Discontinuous-Output-Inductor-Current Mode Operation *

Analysis and Modeling of Buck Converter in Discontinuous-Output-Inductor-Current Mode Operation * Energy and Power Engneerng, 3, 5, 85-856 do:.436/ee.3.54b63 Publshed Onlne July 3 (htt://www.scr.org/journal/ee) Analyss and Modelng of Buck Converter n Dscontnuous-Outut-Inductor-Current Mode Oeraton

More information

A DATA MINING APPLICATION IN A STUDENT DATABASE

A DATA MINING APPLICATION IN A STUDENT DATABASE JOURNAL OF AERONAUTICS AND SPACE TECHNOLOGIES JULY 005 VOLUME NUMBER (53-57) A DATA MINING APPLICATION IN A STUDENT DATABASE Şenol Zafer ERDOĞAN Maltepe Ünversty Faculty of Engneerng Büyükbakkalköy-Istanbul

More information

A Performance Analysis of View Maintenance Techniques for Data Warehouses

A Performance Analysis of View Maintenance Techniques for Data Warehouses A Performance Analyss of Vew Mantenance Technques for Data Warehouses Xng Wang Dell Computer Corporaton Round Roc, Texas Le Gruenwald The nversty of Olahoma School of Computer Scence orman, OK 739 Guangtao

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

FREQUENCY OF OCCURRENCE OF CERTAIN CHEMICAL CLASSES OF GSR FROM VARIOUS AMMUNITION TYPES

FREQUENCY OF OCCURRENCE OF CERTAIN CHEMICAL CLASSES OF GSR FROM VARIOUS AMMUNITION TYPES FREQUENCY OF OCCURRENCE OF CERTAIN CHEMICAL CLASSES OF GSR FROM VARIOUS AMMUNITION TYPES Zuzanna BRO EK-MUCHA, Grzegorz ZADORA, 2 Insttute of Forensc Research, Cracow, Poland 2 Faculty of Chemstry, Jagellonan

More information

An alternate point-wise scheme for Electric Field Integral Equations

An alternate point-wise scheme for Electric Field Integral Equations An alternate pont-wse scheme for Electrc Feld Integral Equatons Gabrele Rosat, Juan R. Mosg Laboratory of Electromagnetcs and Acoustcs (LEMA) Ecole Polytechnque Fédérale de Lausanne (EPFL), CH-05 Lausanne,

More information

INVESTIGATION OF VEHICULAR USERS FAIRNESS IN CDMA-HDR NETWORKS

INVESTIGATION OF VEHICULAR USERS FAIRNESS IN CDMA-HDR NETWORKS 21 22 September 2007, BULGARIA 119 Proceedngs of the Internatonal Conference on Informaton Technologes (InfoTech-2007) 21 st 22 nd September 2007, Bulgara vol. 2 INVESTIGATION OF VEHICULAR USERS FAIRNESS

More information

Vision Mouse. Saurabh Sarkar a* University of Cincinnati, Cincinnati, USA ABSTRACT 1. INTRODUCTION

Vision Mouse. Saurabh Sarkar a* University of Cincinnati, Cincinnati, USA ABSTRACT 1. INTRODUCTION Vson Mouse Saurabh Sarkar a* a Unversty of Cncnnat, Cncnnat, USA ABSTRACT The report dscusses a vson based approach towards trackng of eyes and fngers. The report descrbes the process of locatng the possble

More information

Time Value of Money Module

Time Value of Money Module Tme Value of Money Module O BJECTIVES After readng ths Module, you wll be able to: Understand smple nterest and compound nterest. 2 Compute and use the future value of a sngle sum. 3 Compute and use the

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

Using Series to Analyze Financial Situations: Present Value

Using Series to Analyze Financial Situations: Present Value 2.8 Usng Seres to Analyze Fnancal Stuatons: Present Value In the prevous secton, you learned how to calculate the amount, or future value, of an ordnary smple annuty. The amount s the sum of the accumulated

More information

Analysis of Energy Consumption Performance towards Optimal Radioplanning of Wireless Sensor Networks in Heterogeneous Indoor Environments

Analysis of Energy Consumption Performance towards Optimal Radioplanning of Wireless Sensor Networks in Heterogeneous Indoor Environments 852 P. L. ITURRI, L. AZPILICUETA, J. A. NAZABAL, C. FERNÁNDEZ-VALDIVIELSO, J. SORET, F. FALCONE, ANALYSIS OF ENERGY.. Analyss of Energy Consumpton Performance towards Optmal Radoplannng of Wreless Sensor

More information

Properties of Indoor Received Signal Strength for WLAN Location Fingerprinting

Properties of Indoor Received Signal Strength for WLAN Location Fingerprinting Propertes of Indoor Receved Sgnal Strength for WLAN Locaton Fngerprntng Kamol Kaemarungs and Prashant Krshnamurthy Telecommuncatons Program, School of Informaton Scences, Unversty of Pttsburgh E-mal: kakst2,prashk@ptt.edu

More information

Laws of Electromagnetism

Laws of Electromagnetism There are four laws of electromagnetsm: Laws of Electromagnetsm The law of Bot-Savart Ampere's law Force law Faraday's law magnetc feld generated by currents n wres the effect of a current on a loop of

More information

Fuzzy Set Approach To Asymmetrical Load Balancing In Distribution Networks

Fuzzy Set Approach To Asymmetrical Load Balancing In Distribution Networks Fuzzy Set Approach To Asymmetrcal Load Balancng n Dstrbuton Networks Goran Majstrovc Energy nsttute Hrvoje Por Zagreb, Croata goran.majstrovc@ehp.hr Slavko Krajcar Faculty of electrcal engneerng and computng

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

Traffic State Estimation in the Traffic Management Center of Berlin

Traffic State Estimation in the Traffic Management Center of Berlin Traffc State Estmaton n the Traffc Management Center of Berln Authors: Peter Vortsch, PTV AG, Stumpfstrasse, D-763 Karlsruhe, Germany phone ++49/72/965/35, emal peter.vortsch@ptv.de Peter Möhl, PTV AG,

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

Credit Limit Optimization (CLO) for Credit Cards

Credit Limit Optimization (CLO) for Credit Cards Credt Lmt Optmzaton (CLO) for Credt Cards Vay S. Desa CSCC IX, Ednburgh September 8, 2005 Copyrght 2003, SAS Insttute Inc. All rghts reserved. SAS Propretary Agenda Background Tradtonal approaches to credt

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

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

Analysis of Premium Liabilities for Australian Lines of Business

Analysis of Premium Liabilities for Australian Lines of Business Summary of Analyss of Premum Labltes for Australan Lnes of Busness Emly Tao Honours Research Paper, The Unversty of Melbourne Emly Tao Acknowledgements I am grateful to the Australan Prudental Regulaton

More information

Realistic Image Synthesis

Realistic Image Synthesis Realstc Image Synthess - Combned Samplng and Path Tracng - Phlpp Slusallek Karol Myszkowsk Vncent Pegoraro Overvew: Today Combned Samplng (Multple Importance Samplng) Renderng and Measurng Equaton Random

More information

5.74 Introductory Quantum Mechanics II

5.74 Introductory Quantum Mechanics II MIT OpenCourseWare http://ocw.mt.edu 5.74 Introductory Quantum Mechancs II Sprng 9 For nformaton about ctng these materals or our Terms of Use, vst: http://ocw.mt.edu/terms. 4-1 4.1. INTERACTION OF LIGHT

More information

SPECIALIZED DAY TRADING - A NEW VIEW ON AN OLD GAME

SPECIALIZED DAY TRADING - A NEW VIEW ON AN OLD GAME August 7 - August 12, 2006 n Baden-Baden, Germany SPECIALIZED DAY TRADING - A NEW VIEW ON AN OLD GAME Vladmr Šmovć 1, and Vladmr Šmovć 2, PhD 1 Faculty of Electrcal Engneerng and Computng, Unska 3, 10000

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

s-domain Circuit Analysis

s-domain Circuit Analysis S-Doman naly -Doman rcut naly Tme doman t doman near rcut aplace Tranform omplex frequency doman doman Tranformed rcut Dfferental equaton lacal technque epone waveform aplace Tranform nvere Tranform -

More information

Descriptive Models. Cluster Analysis. Example. General Applications of Clustering. Examples of Clustering Applications

Descriptive Models. Cluster Analysis. Example. General Applications of Clustering. Examples of Clustering Applications CMSC828G Prncples of Data Mnng Lecture #9 Today s Readng: HMS, chapter 9 Today s Lecture: Descrptve Modelng Clusterng Algorthms Descrptve Models model presents the man features of the data, a global summary

More information

Forecasting the Demand of Emergency Supplies: Based on the CBR Theory and BP Neural Network

Forecasting the Demand of Emergency Supplies: Based on the CBR Theory and BP Neural Network 700 Proceedngs of the 8th Internatonal Conference on Innovaton & Management Forecastng the Demand of Emergency Supples: Based on the CBR Theory and BP Neural Network Fu Deqang, Lu Yun, L Changbng School

More information

How To Know The Components Of Mean Squared Error Of Herarchcal Estmator S

How To Know The Components Of Mean Squared Error Of Herarchcal Estmator S S C H E D A E I N F O R M A T I C A E VOLUME 0 0 On Mean Squared Error of Herarchcal Estmator Stans law Brodowsk Faculty of Physcs, Astronomy, and Appled Computer Scence, Jagellonan Unversty, Reymonta

More information

Section 5.3 Annuities, Future Value, and Sinking Funds

Section 5.3 Annuities, Future Value, and Sinking Funds Secton 5.3 Annutes, Future Value, and Snkng Funds Ordnary Annutes A sequence of equal payments made at equal perods of tme s called an annuty. The tme between payments s the payment perod, and the tme

More information

Conversion between the vector and raster data structures using Fuzzy Geographical Entities

Conversion between the vector and raster data structures using Fuzzy Geographical Entities Converson between the vector and raster data structures usng Fuzzy Geographcal Enttes Cdála Fonte Department of Mathematcs Faculty of Scences and Technology Unversty of Combra, Apartado 38, 3 454 Combra,

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

STANDING WAVE TUBE TECHNIQUES FOR MEASURING THE NORMAL INCIDENCE ABSORPTION COEFFICIENT: COMPARISON OF DIFFERENT EXPERIMENTAL SETUPS.

STANDING WAVE TUBE TECHNIQUES FOR MEASURING THE NORMAL INCIDENCE ABSORPTION COEFFICIENT: COMPARISON OF DIFFERENT EXPERIMENTAL SETUPS. STADIG WAVE TUBE TECHIQUES FOR MEASURIG THE ORMAL ICIDECE ABSORPTIO COEFFICIET: COMPARISO OF DIFFERET EXPERIMETAL SETUPS. Angelo Farna (*), Patrzo Faust (**) (*) Dpart. d Ing. Industrale, Unverstà d Parma,

More information

Logical Development Of Vogel s Approximation Method (LD-VAM): An Approach To Find Basic Feasible Solution Of Transportation Problem

Logical Development Of Vogel s Approximation Method (LD-VAM): An Approach To Find Basic Feasible Solution Of Transportation Problem INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH VOLUME, ISSUE, FEBRUARY ISSN 77-866 Logcal Development Of Vogel s Approxmaton Method (LD- An Approach To Fnd Basc Feasble Soluton Of Transportaton

More information

Research Article Enhanced Two-Step Method via Relaxed Order of α-satisfactory Degrees for Fuzzy Multiobjective Optimization

Research Article Enhanced Two-Step Method via Relaxed Order of α-satisfactory Degrees for Fuzzy Multiobjective Optimization Hndaw Publshng Corporaton Mathematcal Problems n Engneerng Artcle ID 867836 pages http://dxdoorg/055/204/867836 Research Artcle Enhanced Two-Step Method va Relaxed Order of α-satsfactory Degrees for Fuzzy

More information

Actuator forces in CFD: RANS and LES modeling in OpenFOAM

Actuator forces in CFD: RANS and LES modeling in OpenFOAM Home Search Collectons Journals About Contact us My IOPscence Actuator forces n CFD: RANS and LES modelng n OpenFOAM Ths content has been downloaded from IOPscence. Please scroll down to see the full text.

More information

A system for real-time calculation and monitoring of energy performance and carbon emissions of RET systems and buildings

A system for real-time calculation and monitoring of energy performance and carbon emissions of RET systems and buildings A system for real-tme calculaton and montorng of energy performance and carbon emssons of RET systems and buldngs Dr PAAIOTIS PHILIMIS Dr ALESSADRO GIUSTI Dr STEPHE GARVI CE Technology Center Democratas

More information

An Evaluation of the Extended Logistic, Simple Logistic, and Gompertz Models for Forecasting Short Lifecycle Products and Services

An Evaluation of the Extended Logistic, Simple Logistic, and Gompertz Models for Forecasting Short Lifecycle Products and Services An Evaluaton of the Extended Logstc, Smple Logstc, and Gompertz Models for Forecastng Short Lfecycle Products and Servces Charles V. Trappey a,1, Hsn-yng Wu b a Professor (Management Scence), Natonal Chao

More information