An Automatic Noise-Figure Meter

Size: px
Start display at page:

Download "An Automatic Noise-Figure Meter"

Transcription

1 An Automatic Noie-Figure Meter Here i a project that will automatically meaure the noie figure of your preamplifier project. It ha an operating range from 3 MHz to over 400 MHz. Jim Koehler, Introduction Anyone intereted in building low-noie pre-amplifier will want to meaure the noie figure of the device. Commercial noie-figure meter, often called Preciion Automatic Noie Figure Indicator (PANFI), exit, but they are expenive even on the urplu or ued market becaue of the demand for them. There have been a few publihed contruction article in the ham literature, but they are either overly complex or don t compare to commercial tet intrument. 1 Thi article decribe the contruction of a imple verion, uitable for home contruction, but which ha many feature of the bet commercial intrument. See Photo A. Theory A good background to noie-figure meaurement i given in a Hewlett-Packard (now Agilent Technologie) Application Note: AN Thi note i available on the Agilent Web ite, and i worth reading. 2 Noie figure, in an amplifier, i a meaure of how much exce noie an amplifier add to any incoming ignal. The lower the noie figure, the le noie it add. Noie figure can be expreed in a number of way, but I prefer to think of it in term of temperature. Every paive reitive electronic component generate ome noie becaue of the random motion of charge carrier in it. The greater the temperature, the greater the motion of the charge, and therefore, the greater the random noie power generated by the component. The noie power generated by any component depend only on it temperature and the bandwidth that you are 1 Note appear on page 46. conidering; it i given by the equation: P = ktb [Eq 1] where k i Boltzmann contant, which i equal to joule / kelvin, B i the bandwidth in Hz and T i the temperature in kelvin. A perfect amplifier would add no noie to incoming ignal, but real one do. We can pecify thi exce noie in term of the temperature of a reitor at the temperature that would give that ame amount of noie. Thi temperature, called the exce noie temperature, T e, i a meaure of how good the amplifier i; the lower the exce noie temperature, the better the amplifier. The amplifier may alo be characterized by a noie figure, which i the ratio of the exce noie temperature (plu room temperature) to room temperature. ( T e +Tr ) NF = T r [Eq 2] where T r i the room temperature. Thi ratio i often expreed in db. An ideal amplifier would have a T e of zero and therefore a noie figure of 1.00, or 0.0 db. Modern noie-figure meter meaure the noie figure of an amplifier by connecting a noie ource, which can be turned off and on, to the amplifier input. A noie ource i jut that; a device with an output that i broadband noie of a known level, correponding to a reitor at ome temperature. Noie ource are characterized by their effective noie ratio, ENR, which i given by: ( Th Tr ) ENR = [Eq 3] T r 2258 June Rd Courtenay, BC V9J-1X9 Canada jark@haw.ca Photo A The front panel of the automatic noie-figure meter. May/June

2 where T h i the hot temperature that a reitor would have to produce the ame noie power a the noie ource when it i witched on. When the noie ource i witched off, it produce only the amount of noie that a reitor at room temperature, T r, would produce. Now, imagine an amplifier with a noie ource at it input and a power meter at it output to meaure the power coming out of the amplifier. When the noie ource i turned off, the power going into the amplifier will conit of the power from the noie ource at room temperature plu the amplifier exce noie power. The output power will be thi um multiplied by the amplifier amplification factor. When the noie ource i turned on, the input power to the amplifier will be the noie power of the noie ource when it i on, plu, again, the exce noie power due to the amplifier alone; the output will be thi new um again multiplied by the amplification factor of the amplifier. The ratio of the on-power to the off-power at the output of the amplifier i the Y-factor: ( T h +Te ) Y = [Eq 4] T +T ( ) r e Noie-figure meter determine T e by meauring the Y-factor and by knowing the value of T h and T r. T r i normally aumed to be 290 K, o, rearranging Equation 4, we get; ( T h 290 Y ) T e = [Eq 5] Y 1 ( ) A PANFI i therefore jut an intrument that ha a power detector to accurately meaure the output noie power of an amplifier and a mean of turning the noie ource on and off. It mut then do the mathematic to diplay the exce noie temperature either a a temperature or a a noie figure. Noie ource are motly olid tate device and mot are deigned to be turned on when they are upplied with V dc. A more detailed dicuion of how a PANFI work i given in the Appendix. Before leaving thi topic, let me make a few remark about the preciion of the meaurement. What i being meaured i the power due to wide-band noie. Noie i random and o there i ome uncertainty in meauring it power level; the level will fluctuate over time. It i a well-known fact that the accuracy with which noie power may be meaured depend on two thing: the amount of time over which the power i averaged, τ, and the bandwidth of the noie, B, itelf; the meaurement error i proportional to 1 Bτ. The fact that the accuracy depend on the bandwidth may eem a bit trange but if you think of it tatitically, the wider the bandwidth, the more ample of the noie you are taking, and hence the more accurate the average. So, to increae the accuracy, the noie power mut be averaged over longer time and/or the bandwidth of the meauring intrument mut be increaed. Commercial PANFI may average over period of a few econd and typically have meaurement bandwidth of a few MHz. Older PANFI uually operated at a fixed frequency, often 30 MHz. To ue them at any other frequency, it wa neceary to convert the ignal to thi pecific frequency. Many modern intrument have a much wider frequency range. The intrument decribed here operate over a frequency range from about 3 MHz to over 400 MHz. Block Diagram A block diagram of the intrument i hown in Figure 1. There i a wide-band amplifier with eparate input and output that may be added to the output of the device being teted to increae the ignal level. The detector i baed on the Analog Device AD8307 logarithmic detector. 3 Thi wonderful little device ha a frequency repone extending up to 500 MHz, and i linear (in logarithmic power) over 8 decade of power. The microproceor board control all apect of the device operation. In the meaurement mode, it turn on the external noie ource by upplying +28 V dc to it and, uing it internal A/D converter, meaure the ignal level detected by the AD8307. It tore thi value and then turn off the noie ource and again meaure the level detected by the AD8307. Thi meaurement i repeated 50 time over a period of about 1 econd. Then the noie figure of the device i calculated and diplayed on a 2-line, 16-character liquid Figure 1 Thi block diagram how the ection of the automatic noie-figure meter. Figure 2 The chematic diagram of the broadband amplifier how that it ue three MiniCircuit MAR-3SM monolithic amplifier. 40 May/June 2007

3 crytal diplay (LCD). The A/D converter ha a baic reolution of 1 part in 1024 (10 bit) but each of the 50 meaurement i an average of 100 A/D converion. Becaue of thi, in the abence of noie, the expected overall reolution of each ingle power determination would be about 1 part in 70,000. Ultimately, the final calculated noie figure ha an accuracy that depend motly on the accuracy of the logarithmic repone of the AD8307, and the fact that ince the ignal being meaured i random noie, it ha a limiting accuracy that depend on the bandwidth and the averaging time (in thi cae, about 1 econd). Detailed Circuit Decription The Broadband Amplifier The circuit of the broadband amplifier i hown in Figure 2. It ue three MiniCircuit MAR-3SM monolithic amplifier. 4 The overall gain i about 37 db and the circuit, if laid out properly uing trip line of the correct width, ha a bandwidth from about 3 MHz to cloe to 2 GHz. Uing dead-bug type of contruction, the bandwidth will probably be reduced, but ince the AD8307 repone tart to fall off at 500 MHz, thi won t matter. The MAR-3 amplifier i pecified to have a noie figure of about 6 db in the range from a few MHz to 2 GHz. Each tage draw about 35 ma and the total power diipated in each tage bia reitance of 200 Ω i about 1 4 W. I laid out my amplifier uing trip line and urface mount component. The 0805 ize reitor I ued were only rated at 0.1 W; therefore I ued four 51-Ω reitor to make up thi reitance. Uing dead-bug contruction, you would probably want to ue a 200 Ω, ½ W reitor or two 100 Ω, ¼ W reitor. The Detector Circuit The circuit for the detector i hown in Figure 3. The AD8307 require a upply voltage of 5 V but with a current drain of only a few ma, o a low power 78L05 regulator wa ued. The 51-Ω reitor at the input of the AD8307 hould be connected between pin 1 and 8 with a cloe to zero length lead a you can manage. I ued a urface mount verion of the AD8307 and a urface mount 0805 ize reitor located jut 1 or 2 mm from thee lead. The detector i very enitive and o the circuit hould be well hielded. I put both the detector and the wide-band amplifier in a mall box made of double-ided circuitboard material and oldered the lid on. See Photo B. The detector and amplifier are in eparate compartment in thi box. The coaxial input to and from the amplifier and to the detector have the hield braid oldered to the ide of the box. The dc upply voltage to the circuit and the detector output are fed into the box by feed-through capacitor. Photo B The broadband amplifier i built into a circuit board box mounted inide the bottom of the project cae. Figure 3 An Analog Device AD8307 logarithmic detector i the heart of the detector circuit. May/June

4 The Microproceor Module The microproceor ued wa an Atmel AVR-erie ATMega32. 5 Thi microproceor ha eight channel of A/D and 24 other pin of I/O. I like the AVR-erie of microproceor becaue of their low price, their good performance and the fact that there are ome very good development tool available for them. The ource code for thi project wa all written for the Gnu C compiler, GCC. There i a verion of thi compiler that produce code for the AVR erie of microproceor. A complete package of the compiler and all the needed utilitie i available a a package called WINAVR for intallation on Window computer. It i a firt-cla profeional tool et and i completely free! I ued a SIMM-100 circuit board, which i available from Dontronic for about $11 Autralian and i a bargain. 6 Dontronic hip to the USA and the ordering and ubequent hipping i painle. The board hould be aembled according to the accompanying direction. See Photo C. The board wa originally deigned for the AT90S8535 microproceor but it i pin-compatible with the ATMega32. Ue the 16PI verion of the ATMega32, a it i rated for the indutrial temperature range and for clock frequencie of up to 16 MHz. It cot jut a few pennie more than the commercial grade. Ue a good quality ocket for the microproceor. The LCD require even I/O pin; there are two A/D channel ued (of eight avail- Photo C Thi photo how the aembled SIMM100 circuit board, with the ATMega32 Figure 4 An ATMega32 microproceor on a SIMM100 circuit board provide the brain for the noie-figure meter. Thi chematic diagram alo how the power upply, diplay and control circuitry. 42 May/June 2007

5 able) and there are two other digital I/O line ued. There i an RS-232 interface circuit built onto thi board and it i ued to provide communication to an external computer or terminal, which i needed for calibration of the finihed unit. I ued a MHz crytal in the ocillator and, with thi clock, the erial RS-232 connection i at baud. The Ret of the Circuit The ret of the circuit i hown in Figure 4. There are two front panel witche. One of thee i a pring-loaded toggle witch that i ued to et level prior to a meaurement. A puh-button witch could alo have been ued here. The other witch i a ingle-pole three poition witch ued to et the mode of operation. Again I ued a toggle witch. Three-poition toggle witche are not common and you could a eaily ue a rotary witch intead. There are a large number of LCD available. Since they all ue the ame protocol, it doen t much matter which one you chooe. I built the intrument in a mall cae that had once houed a piece of Tektronix tet gear. Photo D how the circuit board and wiring inide that cae. If I were doing it over again, I d put the intrument into a much larger box and ue an LCD with larger digit becaue I m getting old and my eyeight in t what it ued to be! The contrat trimmer potentiometer for the LCD hould be adjuted to give the bet contrat for the diplay. It will be et o that the voltage at the wiper i cloe to 0 V. The power upply provide +12 V and +28 V dc. I happened to have an old wall wart on hand, which provided 24 V ac, center-tapped. Any 24 V ac center-tapped tranformer capable of upplying a total power of a watt or two i good enough. The trimmer potentiometer in the +28 V circuit i ued to et the output voltage to exactly 28 V. Do thi a accurately a you can. If you do have thee, then the calibration procedure i a follow: 1. Connect a 50 Ω ignal generator operating at the deired frequency to the SIGNAL INPUT connector on the intrument. Set the output level to a fairly high level around 0 dbm. 2. Type the character c (upper or lower cae) on the terminal and the microproceor will repond with a line aking for the input level. Type the level being produced by your ignal generator in dbm. Then, pre the SET Calibration and Operating Calibration of the Power Detector You need an external terminal or computer to do the calibration of the power detector. The RS-232 connector i deigned to connect to a PC and you may ue ome terminal program to communicate with the intrument. The internal intrumental calibration, which convert from AD8307 output level to a dbm cale, i tored in the internal EPROM of the microproceor. The programmed microproceor ha a default calibration baed on the value pecified in the AD8307 data heet. Thee are fairly accurate for a broad range of input frequencie and mot uer will not want to bother trying to improve thi accuracy. I have made proviion for a more accurate calibration, however, for thoe who have good quality ignal generator and coaxial attenuator and who wih to calibrate the intrument preciely at ome pecific frequency. Photo D Thi view how the top of the project cae, with the SIMM100 board, LCD and variou wiring of the noie-figure meter. Photo E Thi photo how my homebrewed noie ource. May/June

6 witch on the intrument. 3. The intrument will repond by aking for the next data point. 4. Set the generator to a new level about 10 or 20 db lower. The preferred way to do thi i jut to leave the generator etting a it wa before but to add a known attenuation into the line. Again, type the new ignal level and pre the SET witch. 5. Repeat the tep above three more time for a total of five etting of the ignal generator. Chooe the five ignal level o that they are ditributed fairly evenly (in db) between 70 dbm and 0 dbm. The order in which you et the level doen t matter. Internally, the five value are ued to calculate the leat-quare bet fit of a traight line to the data and the two parameter decribing thi line are tored in the intrument in EEPROM. Thee two parameter are ubequently ued to tranlate from AD8307 output to dbm. While connected to the terminal, you mut alo now tell the intrument the noie level of your noie ource. Type a ingle character e (again, upper or lower cae) and the intrument will repond by aking you to type the ENR, in db, of your noie ource. Thi value i alo tored internally in EEPROM o it i there whenever the intrument i turned on again. While connected to the terminal, you can alo change whether the noie figure are diplayed a temperature or in db. Type a b to elect db or a t to elect temperature. The mode i alo aved in EEPROM o it will remain in whatever tate you left it the next time you turn it on. Finally, you may diplay all the internal etting of the intrument by typing the character d. I have not dicued noie ource here ince they are a ubject requiring a eparate article. Paul Wade ha written an excellent article about noie ource that tell you how you may make your own. 7 My own noie ource i a homebrew deign baed on information from that article. See Photo E. if the device i a down-converter with an output at 144 MHz or a 144 MHz amplifier, the filter hould be tuned to 144 MHz. After preing the SET witch, the diplay will how the meaured level with the noie ource on and off and alo will how the exce noie temperature of the broadband amplifier in the intrument. Thi hould be omething in the neighborhood of 900 K. MiniCircuit pecifie the MAR-3SM a having a noie figure of 6 db, which correpond to about that value. Then, connect the device-under-tet (DUT) to the intrument a hown in Figure 5B. With the ON-AUTO-OFF witch in the OFF poition, note the ignal level meaured by the intrument. It hould be greater than 70 dbm and no more than about 0 dbm. If it i omewhere in thi range, you are ready to go. Jut put the ON- AUTO-OFF witch into the AUTO poition and it will give you a meaure of the exce noie temperature of the DUT. You may convert thi to db, if you wih, uing Equation 2. The intrument will alo how a value for the gain of the DUT. The noie temperature diplayed ha been corrected for the gain of the DUT and the noie contribution of the following tage. If the ignal level i lower than 70 dbm with the configuration hown in Figure 5B, you Operation Before making any meaurement, it i adviable to check to make ure that the detector and amplifier are hielded well enough. With the ON-AUTO-OFF witch in the ON poition, make a note of the indicated ignal level when you have a termination on the SIGNAL INPUT connector. Then witch it to the OFF poition and again note the ignal level. It hould be the ame to within 0.1 db or o. If it in t, you haven t hielded the detector or amplifier well enough and your meaurement will not be accurate. Auming all i well, you are ready to make a meaurement. Firt, connect the noie ource to the intrument a hown in Figure 5A and pre the SET witch. The band-pa filter hown hould be appropriate to the device being meaured. For example, Figure 5 Thi drawing how the tep involved in making a noie-figure meaurement. Part A how the connection to meaure the noie ource. Part B how the device under tet connected between the noie ource and the noie-figure meter. Part C how that ometime an additional amplifier will be needed if the device under tet doe not produce a ignal with high enough power output. 44 May/June 2007

7 will need to ue an additional external amplifier to get the level up to where the meaurement can be made accurately. Thi amplifier hould be inerted at the output of the DUT and before the input to the broadband amplifier. Connect the circuit a hown in Figure 5C and now look at the level when the ON-AUTO-OFF witch i in the OFF poition. If it i till too low, you will need to add another external amplifier. If the ignal level i too high, don t ue the broadband amplifier and/or jut add ome attenuation before the SIGNAL INPUT connector. If the DUT i a down-converter, the gain hown will be correct if the noie ource ENR i the ame for both the output frequency of the DUT and the input frequency. That i becaue in the SET meaurement, the noie level wa meaured at the output frequency of the DUT wherea in the final noie meaurement, the noie ource i connected to the input of the DUT, which ee it at it input frequency. If you want to meaure the noie temperature of a LNA ahead of a down-converter, you mut firt SET the intrument with the down-converter in the circuit, a hown in Figure 6A. Then connect the LNA in front of the down-converter a hown in Figure 6B and et the witch to the AUTO poition to read the noie temperature and gain of the LNA. If there i too much overall gain, you may want to by-pa the broadband amplifier and connect the output of the down-converter directly to the SIGNAL INPUT of the intrument. Other Conideration You will need to have a range of bandpa filter for the frequencie that you normally ue. I made up ome fixed doubletuned LC filter for 144 and 30 MHz and a mall fixed cavity filter for 432 MHz. I alo made a tunable cavity filter by modifying a urplu HP5253B frequency converter. Photo F how the front panel of thi filter. Thee unit plugged into ome older HP frequency counter and they have a very well-made tunable ilver-plated cavity. They make very nice 50 MHz to 500 MHz tunable band-pa filter. One often ee thee unit for ale at hamfet flea market for jut a few dollar and they are worth picking up. One diadvantage of the commercial PANFI i that it i very difficult to tune omething where the output i given by changing figure in a text diplay. Human are better at evaluating an output if there i ome analog value aociated with it, uch a a voltage that can be diplayed by a meter. I added an analog output to the ytem with a very imple circuit addition. A low-pa filter coniting of a 5.6 kω reitor going to a 0.1 µf capacitor to ground i connected to pin 3, J5 on the SIMM100 board. Thi pin correpond to PD5 of the microproceor. I added oftware to pule-width modulate thi output to produce an analog voltage that i proportional to the meaured value of Y. The voltage varie from 0 to 5 V a Y change from N.00 to N.9999 volt, where N i an integer. For example, if Y i 2.4, the voltage will be = 2.0 V. If Y were to vary from 2.95 to 3.05, the voltage would tart at = 4.75 V, increae up to 5 V, jump down to zero and then go up to = 0.25 V. Jut uing the non-integer portion of Y i an eay way to make an expanded-cale voltmeter. To tune a ytem for lowet overall noie temperature, you jut tune for maximum Y uing a voltmeter on thi output. I added a pin jack onto the front panel on my intrument for thi output. Concluion Thi intrument will make accurate noiefigure meaurement if you take jut a little care in the contruction and operation. The circuit i very imple and eaily reproduced. Analog Device made it all poible with the AD8307 logarithmic detector. That, and the ue of a microproceor to maage the data, reult in a firt-cla laboratory intrument. Both the Agilent Application Note and the article by Paul Wade dicu ome conideration to be oberved when making noie-figure meaurement and I recommend that you read them if you re eriou about interpreting the reult you get. The ource code and the HEX object code for the microproceor are available on the ARRL QEX Web ite. 8 The author will program ATMega32 microproceor for the cot of return potage. 9 Appendix: Meauring Noie Temperature Conider the baic meauring ytem, which conit of an amplifier and a detector to meaure output power a hown in Figure A1. The ytem i deigned to meaure the ratio of the two output power when the external noie ource i turned on, to the output power when the external noie ource i turned off. Thi ratio i called the Photo F I built a tunable cavity filter into an HP frequency counter box. Figure 6 Thi drawing how the connection required if a down-converter i needed to bring the output frequency of the device under tet into the range of the noie-figure meter. Part A how that the noie ource and down-converter are meaured firt, and then the device under tet i added, a hown at Part B. May/June

8 Y-factor. The gain of the ytem amplifier i G and the ytem noie temperature i T. The latter, the exce noie of the meauring ytem, can be repreented by a reitance at temperature T at the input whoe noie power i ummed with the external input. When the external noie ource i turned on, it act a a reitance at temperature T h and when it i turned off, it act a a reitance at room temperature, T c. When the external noie ource i turned on, the power output at the detector will be: P oh = (T h + T )G [Eq A1] When the noie ource i turned off, the power output at the detector will be: P oc = (T c + T )G [Eq A2] T c i commonly taken to be 290 K. The ratio of thee two power, P oh / P oc, i the Y-factor for the ytem; Y. Thi factor i thu: Figure A1 A Preciion Automatic Noie Figure Indicator (PANFI) witche the noie ource on and off, and meaure the noie power. Y = P P = T +T oh h T +T oc c [Eq A3] We can rearrange the term of Equation A3 to give the noie temperature of the ytem in term of the Y-factor and the external noie temperature: T = T Y T h c Y 1 [Eq A4] Knowing T from Equation A4, we can alo determine the meauring ytem gain by ubtituting it into Equation A1: Figure A2 With the device under tet placed between the noie ource and PANFI, the noie figure i meaured. G = P oh T +T h [Eq A5] G will be in unit of W / K. To meaure the noie temperature of an amplifier or a converter (or, the noie figure, which may be derived from the meaured noie temperature), the noie temperature and gain of the meauring ytem are firt meaured by connecting the external noie ource a hown in Figure A1. Thi provide the initial calibration of the meauring ytem. The amplifier or converter whoe noie figure i to be meaured i then inerted between the meauring ytem and the external noie ource a hown in Figure A2. The Y-factor for the whole amplifier/converter meauring ytem combination i then meaured. From thi Y-factor, we can determine both the overall ytem noie temperature a well a the amplifier/converter noie temperature alone. Let the overall Y-factor be Y. Then, the overall noie temperature of the combined ytem, T, i given by: T = T Y T h c [Eq A6] Y 1 The true noie temperature of the amplifier/converter alone i given by: T T = T [Eq A7] G Therefore, to determine the true noie temperature of the device, we mut know the device gain. Thi can be found by an equation that ue the overall power output when the external noie ource i turned on, P oh, and when it i turned off, P oc, a well a the ytem gain, G : P oh P G = G T T oc ( ) h c [Eq A8] G ha been meaured previouly. In ummary, in order to determine the true noie figure of an amplifier or a converter, you mut firt meaure the meauring ytem noie temperature and gain uing the et-up hown in Figure A1, where the external noie ource i connected to the input of the meauring ytem. Thi i the calibration phae of the meaurement. Then, you diconnect the external noie ource from the input and connect the output of the amplifier or converter to the input of the meauring ytem and put the external noie ource onto the input of the amplifier or converter. Then, the intrument will how the true noie temperature of the amplifier or converter a well a it gain. Note 1 Harke Smit, PAØHRK, A Noie/Gain Analyzer, QEX, Nov/Dec 1999, pp See alo reference therein. 2 The Agilent Technologie Web ite i at and the direct link to the Application Note i agilent.com/litweb/pdf/ e.pdf 3 AD8307,00.html card.ap?part_id= Paul Wade, N1BWT (now W1GHZ), Noie Meaurement and Generation, QEX, November, 1996, pp Alo, ee reference therein. 8 The ATMega32 microproceor ource code and the HEX object code are available on the QEX Web ite. Go to and look for the file 5x07_Koehler.zip. 9 I can only handle the DIP verion of the microproceor. Send it in a padded envelope, along with an addreed return padded envelope, to J. Koehler, 2258 June Rd, Courtenay, BC, V9J-1X9, Canada. I cannot ue US tamp o pleae encloe enough IRC or $2 US to cover the potage. 46 May/June 2007

Ohm s Law. Ohmic relationship V=IR. Electric Power. Non Ohmic devises. Schematic representation. Electric Power

Ohm s Law. Ohmic relationship V=IR. Electric Power. Non Ohmic devises. Schematic representation. Electric Power Ohm Law Ohmic relationhip V=IR Ohm law tate that current through the conductor i directly proportional to the voltage acro it if temperature and other phyical condition do not change. In many material,

More information

On Reference RIAA Networks by Jim Hagerman

On Reference RIAA Networks by Jim Hagerman On eference IAA Network by Jim Hagerman You d think there would be nothing left to ay. Everything you need to know about IAA network ha already been publihed. However, a few year back I came acro an intereting

More information

CHAPTER 5 BROADBAND CLASS-E AMPLIFIER

CHAPTER 5 BROADBAND CLASS-E AMPLIFIER CHAPTER 5 BROADBAND CLASS-E AMPLIFIER 5.0 Introduction Cla-E amplifier wa firt preented by Sokal in 1975. The application of cla- E amplifier were limited to the VHF band. At thi range of frequency, cla-e

More information

Report 4668-1b 30.10.2010. Measurement report. Sylomer - field test

Report 4668-1b 30.10.2010. Measurement report. Sylomer - field test Report 4668-1b Meaurement report Sylomer - field tet Report 4668-1b 2(16) Contet 1 Introduction... 3 1.1 Cutomer... 3 1.2 The ite and purpoe of the meaurement... 3 2 Meaurement... 6 2.1 Attenuation of

More information

A technical guide to 2014 key stage 2 to key stage 4 value added measures

A technical guide to 2014 key stage 2 to key stage 4 value added measures A technical guide to 2014 key tage 2 to key tage 4 value added meaure CONTENTS Introduction: PAGE NO. What i value added? 2 Change to value added methodology in 2014 4 Interpretation: Interpreting chool

More information

Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science

Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science aachuett Intitute of Technology Department of Electrical Engineering and Computer Science 6.685 Electric achinery Cla Note 10: Induction achine Control and Simulation c 2003 Jame L. Kirtley Jr. 1 Introduction

More information

Simple Modular Half-Bridge

Simple Modular Half-Bridge Simple Modular HalfBridge Shane Colton Email: colton@mit.edu Maachuett Intitute of Technology Rev.1.1 13 March, 2009 Simple Modular HalfBridge Module Overview V i V i Iolated DCDC Supply: Supplied by 12V

More information

Chapter 3 Torque Sensor

Chapter 3 Torque Sensor CHAPTER 3: TORQUE SESOR 13 Chapter 3 Torque Senor Thi chapter characterize the iue urrounding the development of the torque enor, pecifically addreing meaurement method, tranducer technology and converter

More information

Optical Illusion. Sara Bolouki, Roger Grosse, Honglak Lee, Andrew Ng

Optical Illusion. Sara Bolouki, Roger Grosse, Honglak Lee, Andrew Ng Optical Illuion Sara Bolouki, Roger Groe, Honglak Lee, Andrew Ng. Introduction The goal of thi proect i to explain ome of the illuory phenomena uing pare coding and whitening model. Intead of the pare

More information

Wireless and Battery-less Sensor Using RF Energy Harvesting

Wireless and Battery-less Sensor Using RF Energy Harvesting DOI.56/etc4/. Wirele and Battery-le Senor Uing RF Energy Harveting Chritian Merz, Gerald Kupri, Maximilian Niedernhuber 3 Deggendorf Intitute of Technology, Edlmairtr. 6 + 8, 94469 Deggendorf, Germany

More information

Module 8. Three-phase Induction Motor. Version 2 EE IIT, Kharagpur

Module 8. Three-phase Induction Motor. Version 2 EE IIT, Kharagpur Module 8 Three-phae Induction Motor Verion EE IIT, Kharagpur Leon 33 Different Type of Starter for Induction Motor (IM Verion EE IIT, Kharagpur Inructional Objective Need of uing arter for Induction motor

More information

Unit 11 Using Linear Regression to Describe Relationships

Unit 11 Using Linear Regression to Describe Relationships Unit 11 Uing Linear Regreion to Decribe Relationhip Objective: To obtain and interpret the lope and intercept of the leat quare line for predicting a quantitative repone variable from a quantitative explanatory

More information

MECH 2110 - Statics & Dynamics

MECH 2110 - Statics & Dynamics Chapter D Problem 3 Solution 1/7/8 1:8 PM MECH 11 - Static & Dynamic Chapter D Problem 3 Solution Page 7, Engineering Mechanic - Dynamic, 4th Edition, Meriam and Kraige Given: Particle moving along a traight

More information

Two Dimensional FEM Simulation of Ultrasonic Wave Propagation in Isotropic Solid Media using COMSOL

Two Dimensional FEM Simulation of Ultrasonic Wave Propagation in Isotropic Solid Media using COMSOL Excerpt from the Proceeding of the COMSO Conference 0 India Two Dimenional FEM Simulation of Ultraonic Wave Propagation in Iotropic Solid Media uing COMSO Bikah Ghoe *, Krihnan Balaubramaniam *, C V Krihnamurthy

More information

6. Friction, Experiment and Theory

6. Friction, Experiment and Theory 6. Friction, Experiment and Theory The lab thi wee invetigate the rictional orce and the phyical interpretation o the coeicient o riction. We will mae ue o the concept o the orce o gravity, the normal

More information

Tap Into Smartphone Demand: Mobile-izing Enterprise Websites by Using Flexible, Open Source Platforms

Tap Into Smartphone Demand: Mobile-izing Enterprise Websites by Using Flexible, Open Source Platforms Tap Into Smartphone Demand: Mobile-izing Enterprie Webite by Uing Flexible, Open Source Platform acquia.com 888.922.7842 1.781.238.8600 25 Corporate Drive, Burlington, MA 01803 Tap Into Smartphone Demand:

More information

Exposure Metering Relating Subject Lighting to Film Exposure

Exposure Metering Relating Subject Lighting to Film Exposure Expoure Metering Relating Subject Lighting to Film Expoure By Jeff Conrad A photographic expoure meter meaure ubject lighting and indicate camera etting that nominally reult in the bet expoure of the film.

More information

Digital Communication Systems

Digital Communication Systems Digital Communication Sytem The term digital communication cover a broad area of communication technique, including digital tranmiion and digital radio. Digital tranmiion, i the tranmitted of digital pule

More information

Performance of a Browser-Based JavaScript Bandwidth Test

Performance of a Browser-Based JavaScript Bandwidth Test Performance of a Brower-Baed JavaScript Bandwidth Tet David A. Cohen II May 7, 2013 CP SC 491/H495 Abtract An exiting brower-baed bandwidth tet written in JavaScript wa modified for the purpoe of further

More information

MSc Financial Economics: International Finance. Bubbles in the Foreign Exchange Market. Anne Sibert. Revised Spring 2013. Contents

MSc Financial Economics: International Finance. Bubbles in the Foreign Exchange Market. Anne Sibert. Revised Spring 2013. Contents MSc Financial Economic: International Finance Bubble in the Foreign Exchange Market Anne Sibert Revied Spring 203 Content Introduction................................................. 2 The Mone Market.............................................

More information

DISTRIBUTED DATA PARALLEL TECHNIQUES FOR CONTENT-MATCHING INTRUSION DETECTION SYSTEMS. G. Chapman J. Cleese E. Idle

DISTRIBUTED DATA PARALLEL TECHNIQUES FOR CONTENT-MATCHING INTRUSION DETECTION SYSTEMS. G. Chapman J. Cleese E. Idle DISTRIBUTED DATA PARALLEL TECHNIQUES FOR CONTENT-MATCHING INTRUSION DETECTION SYSTEMS G. Chapman J. Cleee E. Idle ABSTRACT Content matching i a neceary component of any ignature-baed network Intruion Detection

More information

Mixed Method of Model Reduction for Uncertain Systems

Mixed Method of Model Reduction for Uncertain Systems SERBIAN JOURNAL OF ELECTRICAL ENGINEERING Vol 4 No June Mixed Method of Model Reduction for Uncertain Sytem N Selvaganean Abtract: A mixed method for reducing a higher order uncertain ytem to a table reduced

More information

DISTRIBUTED DATA PARALLEL TECHNIQUES FOR CONTENT-MATCHING INTRUSION DETECTION SYSTEMS

DISTRIBUTED DATA PARALLEL TECHNIQUES FOR CONTENT-MATCHING INTRUSION DETECTION SYSTEMS DISTRIBUTED DATA PARALLEL TECHNIQUES FOR CONTENT-MATCHING INTRUSION DETECTION SYSTEMS Chritopher V. Kopek Department of Computer Science Wake Foret Univerity Winton-Salem, NC, 2709 Email: kopekcv@gmail.com

More information

Delft. Matlab and Simulink for Modeling and Control. Robert Babuška and Stefano Stramigioli. November 1999

Delft. Matlab and Simulink for Modeling and Control. Robert Babuška and Stefano Stramigioli. November 1999 Matlab and Simulink for Modeling and Control Robert Babuška and Stefano Stramigioli November 999 Delft Delft Univerity of Technology Control Laboratory Faculty of Information Technology and Sytem Delft

More information

Bob York. Simple FET DC Bias Circuits

Bob York. Simple FET DC Bias Circuits Bob York Simple FET DC Bia Circuit Loa-Line an Q-point Conier the effect of a rain reitor in the comnon-ource configuration: Smaller + g D out KL: Thi i the equation of a line that can be uperimpoe on

More information

Solution of the Heat Equation for transient conduction by LaPlace Transform

Solution of the Heat Equation for transient conduction by LaPlace Transform Solution of the Heat Equation for tranient conduction by LaPlace Tranform Thi notebook ha been written in Mathematica by Mark J. McCready Profeor and Chair of Chemical Engineering Univerity of Notre Dame

More information

Assessing the Discriminatory Power of Credit Scores

Assessing the Discriminatory Power of Credit Scores Aeing the Dicriminatory Power of Credit Score Holger Kraft 1, Gerald Kroiandt 1, Marlene Müller 1,2 1 Fraunhofer Intitut für Techno- und Wirtchaftmathematik (ITWM) Gottlieb-Daimler-Str. 49, 67663 Kaierlautern,

More information

Pin-Selectable Watchdog Timers MAX6369 MAX6374

Pin-Selectable Watchdog Timers MAX6369 MAX6374 General Decription The MAX6369 MAX6374 are pin-electable watchdog timer that upervie microproceor (µp) activity and ignal when a ytem i operating improperly. During normal operation, the microproceor hould

More information

EXPERIMENT 11 CONSOLIDATION TEST

EXPERIMENT 11 CONSOLIDATION TEST 119 EXPERIMENT 11 CONSOLIDATION TEST Purpoe: Thi tet i performed to determine the magnitude and rate of volume decreae that a laterally confined oil pecimen undergoe when ubjected to different vertical

More information

v = x t = x 2 x 1 t 2 t 1 The average speed of the particle is absolute value of the average velocity and is given Distance travelled t

v = x t = x 2 x 1 t 2 t 1 The average speed of the particle is absolute value of the average velocity and is given Distance travelled t Chapter 2 Motion in One Dimenion 2.1 The Important Stuff 2.1.1 Poition, Time and Diplacement We begin our tudy of motion by conidering object which are very mall in comparion to the ize of their movement

More information

TIME SERIES ANALYSIS AND TRENDS BY USING SPSS PROGRAMME

TIME SERIES ANALYSIS AND TRENDS BY USING SPSS PROGRAMME TIME SERIES ANALYSIS AND TRENDS BY USING SPSS PROGRAMME RADMILA KOCURKOVÁ Sileian Univerity in Opava School of Buine Adminitration in Karviná Department of Mathematical Method in Economic Czech Republic

More information

MATLAB/Simulink Based Modelling of Solar Photovoltaic Cell

MATLAB/Simulink Based Modelling of Solar Photovoltaic Cell MATLAB/Simulink Baed Modelling of Solar Photovoltaic Cell Tarak Salmi *, Mounir Bouzguenda **, Adel Gatli **, Ahmed Mamoudi * *Reearch Unit on Renewable Energie and Electric Vehicle, National Engineering

More information

FEDERATION OF ARAB SCIENTIFIC RESEARCH COUNCILS

FEDERATION OF ARAB SCIENTIFIC RESEARCH COUNCILS Aignment Report RP/98-983/5/0./03 Etablihment of cientific and technological information ervice for economic and ocial development FOR INTERNAL UE NOT FOR GENERAL DITRIBUTION FEDERATION OF ARAB CIENTIFIC

More information

REDUCTION OF TOTAL SUPPLY CHAIN CYCLE TIME IN INTERNAL BUSINESS PROCESS OF REAMER USING DOE AND TAGUCHI METHODOLOGY. Abstract. 1.

REDUCTION OF TOTAL SUPPLY CHAIN CYCLE TIME IN INTERNAL BUSINESS PROCESS OF REAMER USING DOE AND TAGUCHI METHODOLOGY. Abstract. 1. International Journal of Advanced Technology & Engineering Reearch (IJATER) REDUCTION OF TOTAL SUPPLY CHAIN CYCLE TIME IN INTERNAL BUSINESS PROCESS OF REAMER USING DOE AND Abtract TAGUCHI METHODOLOGY Mr.

More information

Utility-Based Flow Control for Sequential Imagery over Wireless Networks

Utility-Based Flow Control for Sequential Imagery over Wireless Networks Utility-Baed Flow Control for Sequential Imagery over Wirele Networ Tomer Kihoni, Sara Callaway, and Mar Byer Abtract Wirele enor networ provide a unique et of characteritic that mae them uitable for building

More information

Figure 2.1. a. Block diagram representation of a system; b. block diagram representation of an interconnection of subsystems

Figure 2.1. a. Block diagram representation of a system; b. block diagram representation of an interconnection of subsystems Figure. a. Block diagram repreentation o a ytem; b. block diagram repreentation o an interconnection o ubytem REVIEW OF THE LAPLACE TRANSFORM Table. Laplace tranorm table Table. Laplace tranorm theorem

More information

Free Enterprise, the Economy and Monetary Policy

Free Enterprise, the Economy and Monetary Policy Free Enterprie, the Economy and Monetary Policy free (fre) adj. not cont Free enterprie i the freedom of individual and buinee to power of another; at regulation. It enable individual and buinee to create,

More information

BUILT-IN DUAL FREQUENCY ANTENNA WITH AN EMBEDDED CAMERA AND A VERTICAL GROUND PLANE

BUILT-IN DUAL FREQUENCY ANTENNA WITH AN EMBEDDED CAMERA AND A VERTICAL GROUND PLANE Progre In Electromagnetic Reearch Letter, Vol. 3, 51, 08 BUILT-IN DUAL FREQUENCY ANTENNA WITH AN EMBEDDED CAMERA AND A VERTICAL GROUND PLANE S. H. Zainud-Deen Faculty of Electronic Engineering Menoufia

More information

SCM- integration: organiational, managerial and technological iue M. Caridi 1 and A. Sianei 2 Dipartimento di Economia e Produzione, Politecnico di Milano, Italy E-mail: maria.caridi@polimi.it Itituto

More information

CASE STUDY BRIDGE. www.future-processing.com

CASE STUDY BRIDGE. www.future-processing.com CASE STUDY BRIDGE TABLE OF CONTENTS #1 ABOUT THE CLIENT 3 #2 ABOUT THE PROJECT 4 #3 OUR ROLE 5 #4 RESULT OF OUR COLLABORATION 6-7 #5 THE BUSINESS PROBLEM THAT WE SOLVED 8 #6 CHALLENGES 9 #7 VISUAL IDENTIFICATION

More information

How Enterprises Can Build Integrated Digital Marketing Experiences Using Drupal

How Enterprises Can Build Integrated Digital Marketing Experiences Using Drupal How Enterprie Can Build Integrated Digital Marketing Experience Uing Drupal acquia.com 888.922.7842 1.781.238.8600 25 Corporate Drive, Burlington, MA 01803 How Enterprie Can Build Integrated Digital Marketing

More information

σ m using Equation 8.1 given that σ

σ m using Equation 8.1 given that σ 8. Etimate the theoretical fracture trength of a brittle material if it i known that fracture occur by the propagation of an elliptically haped urface crack of length 0.8 mm and having a tip radiu of curvature

More information

2. METHOD DATA COLLECTION

2. METHOD DATA COLLECTION Key to learning in pecific ubject area of engineering education an example from electrical engineering Anna-Karin Cartenen,, and Jonte Bernhard, School of Engineering, Jönköping Univerity, S- Jönköping,

More information

Application Note Noise Frequently Asked Questions

Application Note Noise Frequently Asked Questions : What is? is a random signal inherent in all physical components. It directly limits the detection and processing of all information. The common form of noise is white Gaussian due to the many random

More information

Acceleration-Displacement Crash Pulse Optimisation A New Methodology to Optimise Vehicle Response for Multiple Impact Speeds

Acceleration-Displacement Crash Pulse Optimisation A New Methodology to Optimise Vehicle Response for Multiple Impact Speeds Acceleration-Diplacement Crah Pule Optimiation A New Methodology to Optimie Vehicle Repone for Multiple Impact Speed D. Gildfind 1 and D. Ree 2 1 RMIT Univerity, Department of Aeropace Engineering 2 Holden

More information

Four Ways Companies Can Use Open Source Social Publishing Tools to Enhance Their Business Operations

Four Ways Companies Can Use Open Source Social Publishing Tools to Enhance Their Business Operations Four Way Companie Can Ue Open Source Social Publihing Tool to Enhance Their Buine Operation acquia.com 888.922.7842 1.781.238.8600 25 Corporate Drive, Burlington, MA 01803 Four Way Companie Can Ue Open

More information

Progress 8 measure in 2016, 2017, and 2018. Guide for maintained secondary schools, academies and free schools

Progress 8 measure in 2016, 2017, and 2018. Guide for maintained secondary schools, academies and free schools Progre 8 meaure in 2016, 2017, and 2018 Guide for maintained econdary chool, academie and free chool July 2016 Content Table of figure 4 Summary 5 A ummary of Attainment 8 and Progre 8 5 Expiry or review

More information

Morningstar Fixed Income Style Box TM Methodology

Morningstar Fixed Income Style Box TM Methodology Morningtar Fixed Income Style Box TM Methodology Morningtar Methodology Paper Augut 3, 00 00 Morningtar, Inc. All right reerved. The information in thi document i the property of Morningtar, Inc. Reproduction

More information

Towards Control-Relevant Forecasting in Supply Chain Management

Towards Control-Relevant Forecasting in Supply Chain Management 25 American Control Conference June 8-1, 25. Portland, OR, USA WeA7.1 Toward Control-Relevant Forecating in Supply Chain Management Jay D. Schwartz, Daniel E. Rivera 1, and Karl G. Kempf Control Sytem

More information

Physics 111. Exam #1. January 24, 2014

Physics 111. Exam #1. January 24, 2014 Phyic 111 Exam #1 January 24, 2014 Name Pleae read and follow thee intruction carefully: Read all problem carefully before attempting to olve them. Your work mut be legible, and the organization clear.

More information

Review of Multiple Regression Richard Williams, University of Notre Dame, http://www3.nd.edu/~rwilliam/ Last revised January 13, 2015

Review of Multiple Regression Richard Williams, University of Notre Dame, http://www3.nd.edu/~rwilliam/ Last revised January 13, 2015 Review of Multiple Regreion Richard William, Univerity of Notre Dame, http://www3.nd.edu/~rwilliam/ Lat revied January 13, 015 Aumption about prior nowledge. Thi handout attempt to ummarize and yntheize

More information

Software Engineering Management: strategic choices in a new decade

Software Engineering Management: strategic choices in a new decade Software Engineering : trategic choice in a new decade Barbara Farbey & Anthony Finkeltein Univerity College London, Department of Computer Science, Gower St. London WC1E 6BT, UK {b.farbey a.finkeltein}@ucl.ac.uk

More information

Analog IIR Filter Design

Analog IIR Filter Design Filter Deign - IIR cwliu@twin.ee.nctu.edu.tw Analog IIR Filter Deign Commonly ued analog filter : Lowpa Butterworth filter all-pole filter characterized by magnitude repone. Nfilter order Pole of HH- are

More information

Redesigning Ratings: Assessing the Discriminatory Power of Credit Scores under Censoring

Redesigning Ratings: Assessing the Discriminatory Power of Credit Scores under Censoring Redeigning Rating: Aeing the Dicriminatory Power of Credit Score under Cenoring Holger Kraft, Gerald Kroiandt, Marlene Müller Fraunhofer Intitut für Techno- und Wirtchaftmathematik (ITWM) Thi verion: June

More information

Design of Compound Hyperchaotic System with Application in Secure Data Transmission Systems

Design of Compound Hyperchaotic System with Application in Secure Data Transmission Systems Deign of Compound Hyperchaotic Sytem with Application in Secure Data Tranmiion Sytem D. Chantov Key Word. Lyapunov exponent; hyperchaotic ytem; chaotic ynchronization; chaotic witching. Abtract. In thi

More information

Design of The Feedback Controller (PID Controller) for The Buck Boost Converter

Design of The Feedback Controller (PID Controller) for The Buck Boost Converter Deign of The Feedback Controller (PID Controller) for The Buck Boot Converter )Sattar Jaber Al-Iawi ) Ehan A. Abd Al-Nabi Department of Electromechanical Eng. The High Intitute for Indutry-Libya-Mirata

More information

T-test for dependent Samples. Difference Scores. The t Test for Dependent Samples. The t Test for Dependent Samples. s D

T-test for dependent Samples. Difference Scores. The t Test for Dependent Samples. The t Test for Dependent Samples. s D The t Tet for ependent Sample T-tet for dependent Sample (ak.a., Paired ample t-tet, Correlated Group eign, Within- Subject eign, Repeated Meaure,.. Repeated-Meaure eign When you have two et of core from

More information

Name: SID: Instructions

Name: SID: Instructions CS168 Fall 2014 Homework 1 Aigned: Wedneday, 10 September 2014 Due: Monday, 22 September 2014 Name: SID: Dicuion Section (Day/Time): Intruction - Submit thi homework uing Pandagrader/GradeScope(http://www.gradecope.com/

More information

Queueing systems with scheduled arrivals, i.e., appointment systems, are typical for frontal service systems,

Queueing systems with scheduled arrivals, i.e., appointment systems, are typical for frontal service systems, MANAGEMENT SCIENCE Vol. 54, No. 3, March 28, pp. 565 572 in 25-199 ein 1526-551 8 543 565 inform doi 1.1287/mnc.17.82 28 INFORMS Scheduling Arrival to Queue: A Single-Server Model with No-Show INFORMS

More information

Project Management Basics

Project Management Basics Project Management Baic A Guide to undertanding the baic component of effective project management and the key to ucce 1 Content 1.0 Who hould read thi Guide... 3 1.1 Overview... 3 1.2 Project Management

More information

IMPORTANT: Read page 2 ASAP. *Please feel free to email (longo.physics@gmail.com) me at any time if you have questions or concerns.

IMPORTANT: Read page 2 ASAP. *Please feel free to email (longo.physics@gmail.com) me at any time if you have questions or concerns. rev. 05/4/16 AP Phyic C: Mechanic Summer Aignment 016-017 Mr. Longo Foret Park HS longo.phyic@gmail.com longodb@pwc.edu Welcome to AP Phyic C: Mechanic. The purpoe of thi ummer aignment i to give you a

More information

OUTPUT STREAM OF BINDING NEURON WITH DELAYED FEEDBACK

OUTPUT STREAM OF BINDING NEURON WITH DELAYED FEEDBACK binding neuron, biological and medical cybernetic, interpike interval ditribution, complex ytem, cognition and ytem Alexander VIDYBIDA OUTPUT STREAM OF BINDING NEURON WITH DELAYED FEEDBACK A binding neuron

More information

Support Vector Machine Based Electricity Price Forecasting For Electricity Markets utilising Projected Assessment of System Adequacy Data.

Support Vector Machine Based Electricity Price Forecasting For Electricity Markets utilising Projected Assessment of System Adequacy Data. The Sixth International Power Engineering Conference (IPEC23, 27-29 November 23, Singapore Support Vector Machine Baed Electricity Price Forecating For Electricity Maret utiliing Projected Aement of Sytem

More information

Genuine Bendix. a l v e. c o m p r e. s o r s. s y e r. a i r. d r. s t r o n i c. e l e c. d i s c. b r a k e s. w h e e l. e n d X V.

Genuine Bendix. a l v e. c o m p r e. s o r s. s y e r. a i r. d r. s t r o n i c. e l e c. d i s c. b r a k e s. w h e e l. e n d X V. v a l v e AHEAD OF THE CURVE AHEAD OF THE CURVE Genuine Bendix c o m p r e o r a i r d r y e r e l e c t r o n i c a i r d i c b r a k e w h e e l e n d X V i i o n GENUINE BENDIX NO CUTTING CORNERS. V

More information

A Review On Software Testing In SDlC And Testing Tools

A Review On Software Testing In SDlC And Testing Tools www.ijec.in International Journal Of Engineering And Computer Science ISSN:2319-7242 Volume - 3 Iue -9 September, 2014 Page No. 8188-8197 A Review On Software Teting In SDlC And Teting Tool T.Amruthavalli*,

More information

Simulation of Sensorless Speed Control of Induction Motor Using APFO Technique

Simulation of Sensorless Speed Control of Induction Motor Using APFO Technique International Journal of Computer and Electrical Engineering, Vol. 4, No. 4, Augut 2012 Simulation of Senorle Speed Control of Induction Motor Uing APFO Technique T. Raghu, J. Sriniva Rao, and S. Chandra

More information

Turbulent Mixing and Chemical Reaction in Stirred Tanks

Turbulent Mixing and Chemical Reaction in Stirred Tanks Turbulent Mixing and Chemical Reaction in Stirred Tank André Bakker Julian B. Faano Blend time and chemical product ditribution in turbulent agitated veel can be predicted with the aid of Computational

More information

1 Looking in the wrong place for healthcare improvements: A system dynamics study of an accident and emergency department

1 Looking in the wrong place for healthcare improvements: A system dynamics study of an accident and emergency department 1 Looking in the wrong place for healthcare improvement: A ytem dynamic tudy of an accident and emergency department DC Lane, C Monefeldt and JV Roenhead - The London School of Economic and Political Science

More information

A New Optimum Jitter Protection for Conversational VoIP

A New Optimum Jitter Protection for Conversational VoIP Proc. Int. Conf. Wirele Commun., Signal Proceing (Nanjing, China), 5 pp., Nov. 2009 A New Optimum Jitter Protection for Converational VoIP Qipeng Gong, Peter Kabal Electrical & Computer Engineering, McGill

More information

How To Control A Power Plant With A Power Control System

How To Control A Power Plant With A Power Control System OVERVIEW Demand-controlled ventilation Leading edge product for demand-controlled ventilation! www.wegon.com Demand-controlled ventilation offer great comfort and low operating cot When the room i in ue,

More information

1 Introduction. Reza Shokri* Privacy Games: Optimal User-Centric Data Obfuscation

1 Introduction. Reza Shokri* Privacy Games: Optimal User-Centric Data Obfuscation Proceeding on Privacy Enhancing Technologie 2015; 2015 (2):1 17 Reza Shokri* Privacy Game: Optimal Uer-Centric Data Obfucation Abtract: Conider uer who hare their data (e.g., location) with an untruted

More information

Control of Wireless Networks with Flow Level Dynamics under Constant Time Scheduling

Control of Wireless Networks with Flow Level Dynamics under Constant Time Scheduling Control of Wirele Network with Flow Level Dynamic under Contant Time Scheduling Long Le and Ravi R. Mazumdar Department of Electrical and Computer Engineering Univerity of Waterloo,Waterloo, ON, Canada

More information

Bidding for Representative Allocations for Display Advertising

Bidding for Representative Allocations for Display Advertising Bidding for Repreentative Allocation for Diplay Advertiing Arpita Ghoh, Preton McAfee, Kihore Papineni, and Sergei Vailvitkii Yahoo! Reearch. {arpita, mcafee, kpapi, ergei}@yahoo-inc.com Abtract. Diplay

More information

CHARACTERISTICS OF WAITING LINE MODELS THE INDICATORS OF THE CUSTOMER FLOW MANAGEMENT SYSTEMS EFFICIENCY

CHARACTERISTICS OF WAITING LINE MODELS THE INDICATORS OF THE CUSTOMER FLOW MANAGEMENT SYSTEMS EFFICIENCY Annale Univeritati Apuleni Serie Oeconomica, 2(2), 200 CHARACTERISTICS OF WAITING LINE MODELS THE INDICATORS OF THE CUSTOMER FLOW MANAGEMENT SYSTEMS EFFICIENCY Sidonia Otilia Cernea Mihaela Jaradat 2 Mohammad

More information

Linear Momentum and Collisions

Linear Momentum and Collisions Chapter 7 Linear Momentum and Colliion 7.1 The Important Stuff 7.1.1 Linear Momentum The linear momentum of a particle with ma m moving with velocity v i defined a p = mv (7.1) Linear momentum i a vector.

More information

Independent Samples T- test

Independent Samples T- test Independent Sample T- tet With previou tet, we were intereted in comparing a ingle ample with a population With mot reearch, you do not have knowledge about the population -- you don t know the population

More information

6 4 Applications of the Normal Distribution

6 4 Applications of the Normal Distribution Section 6 4 Application of the Normal Ditribution 307 The area between the two value i the anwer, 0.885109. To find a z core correponding to a cumulative area: P(Z z) 0.0250 1. Click the f x icon and elect

More information

Risk Management for a Global Supply Chain Planning under Uncertainty: Models and Algorithms

Risk Management for a Global Supply Chain Planning under Uncertainty: Models and Algorithms Rik Management for a Global Supply Chain Planning under Uncertainty: Model and Algorithm Fengqi You 1, John M. Waick 2, Ignacio E. Gromann 1* 1 Dept. of Chemical Engineering, Carnegie Mellon Univerity,

More information

Availability of WDM Multi Ring Networks

Availability of WDM Multi Ring Networks Paper Availability of WDM Multi Ring Network Ivan Rado and Katarina Rado H d.o.o. Motar, Motar, Bonia and Herzegovina Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Univerity

More information

A Spam Message Filtering Method: focus on run time

A Spam Message Filtering Method: focus on run time , pp.29-33 http://dx.doi.org/10.14257/atl.2014.76.08 A Spam Meage Filtering Method: focu on run time Sin-Eon Kim 1, Jung-Tae Jo 2, Sang-Hyun Choi 3 1 Department of Information Security Management 2 Department

More information

12.4 Problems. Excerpt from "Introduction to Geometry" 2014 AoPS Inc. Copyrighted Material CHAPTER 12. CIRCLES AND ANGLES

12.4 Problems. Excerpt from Introduction to Geometry 2014 AoPS Inc.  Copyrighted Material CHAPTER 12. CIRCLES AND ANGLES HTER 1. IRLES N NGLES Excerpt from "Introduction to Geometry" 014 os Inc. onider the circle with diameter O. all thi circle. Why mut hit O in at leat two di erent point? (b) Why i it impoible for to hit

More information

Polarization resolved measurement of Rayleigh backscatter in fiber-optic components

Polarization resolved measurement of Rayleigh backscatter in fiber-optic components 1. Introduction Polarization reolved meaurement of Rayleigh backcatter in fiber-otic comonent B. J. Soller, M. Wolfe, M. E. Froggatt Luna Technologie Inc., 2020 Kraft Dr. Suite 2000, Blackburg, VA 24060

More information

CASE STUDY ALLOCATE SOFTWARE

CASE STUDY ALLOCATE SOFTWARE CASE STUDY ALLOCATE SOFTWARE allocate caetud y TABLE OF CONTENTS #1 ABOUT THE CLIENT #2 OUR ROLE #3 EFFECTS OF OUR COOPERATION #4 BUSINESS PROBLEM THAT WE SOLVED #5 CHALLENGES #6 WORKING IN SCRUM #7 WHAT

More information

Lecture 14: Transformers. Ideal Transformers

Lecture 14: Transformers. Ideal Transformers White, EE 3 Lecture 14 Page 1 of 9 Lecture 14: Tranforer. deal Tranforer n general, a tranforer i a ultiort ac device that convert voltage, current and iedance fro one value to another. Thi device only

More information

G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences

G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences Behavior Reearch Method 007, 39 (), 75-9 G*Power 3: A flexible tatitical power analyi program for the ocial, behavioral, and biomedical cience FRAZ FAUL Chritian-Albrecht-Univerität Kiel, Kiel, Germany

More information

MBA 570x Homework 1 Due 9/24/2014 Solution

MBA 570x Homework 1 Due 9/24/2014 Solution MA 570x Homework 1 Due 9/24/2014 olution Individual work: 1. Quetion related to Chapter 11, T Why do you think i a fund of fund market for hedge fund, but not for mutual fund? Anwer: Invetor can inexpenively

More information

Chapter 10 Stocks and Their Valuation ANSWERS TO END-OF-CHAPTER QUESTIONS

Chapter 10 Stocks and Their Valuation ANSWERS TO END-OF-CHAPTER QUESTIONS Chapter Stoc and Their Valuation ANSWERS TO EN-OF-CHAPTER QUESTIONS - a. A proxy i a document giving one peron the authority to act for another, typically the power to vote hare of common toc. If earning

More information

Apigee Edge: Apigee Cloud vs. Private Cloud. Evaluating deployment models for API management

Apigee Edge: Apigee Cloud vs. Private Cloud. Evaluating deployment models for API management Apigee Edge: Apigee Cloud v. Private Cloud Evaluating deployment model for API management Table of Content Introduction 1 Time to ucce 2 Total cot of ownerhip 2 Performance 3 Security 4 Data privacy 4

More information

Three Phase Theory - Professor J R Lucas

Three Phase Theory - Professor J R Lucas Three Phae Theory - Profeor J Luca A you are aware, to tranit power with ingle phae alternating current, we need two wire live wire and neutral. However you would have een that ditribution line uually

More information

POSSIBILITIES OF INDIVIDUAL CLAIM RESERVE RISK MODELING

POSSIBILITIES OF INDIVIDUAL CLAIM RESERVE RISK MODELING POSSIBILITIES OF INDIVIDUAL CLAIM RESERVE RISK MODELING Pavel Zimmermann * 1. Introduction A ignificant increae in demand for inurance and financial rik quantification ha occurred recently due to the fact

More information

Engineering Bernoulli Equation

Engineering Bernoulli Equation Engineering Bernoulli Equation R. Shankar Subramanian Department of Chemical and Biomolecular Engineering Clarkon Univerity The Engineering Bernoulli equation can be derived from the principle of conervation

More information

Bi-Objective Optimization for the Clinical Trial Supply Chain Management

Bi-Objective Optimization for the Clinical Trial Supply Chain Management Ian David Lockhart Bogle and Michael Fairweather (Editor), Proceeding of the 22nd European Sympoium on Computer Aided Proce Engineering, 17-20 June 2012, London. 2012 Elevier B.V. All right reerved. Bi-Objective

More information

TRADING rules are widely used in financial market as

TRADING rules are widely used in financial market as Complex Stock Trading Strategy Baed on Particle Swarm Optimization Fei Wang, Philip L.H. Yu and David W. Cheung Abtract Trading rule have been utilized in the tock market to make profit for more than a

More information

Uer manual V01 2007-07 IMPORTANT SAFETY INSTRUCTIONS 1) Read thee intruction. CAUTION: WARNING: To reduce the rik of electric hock, do not remove the top cover (or the rear ection). No uer erviceable part

More information

Chapter 10 Velocity, Acceleration, and Calculus

Chapter 10 Velocity, Acceleration, and Calculus Chapter 10 Velocity, Acceleration, and Calculu The firt derivative of poition i velocity, and the econd derivative i acceleration. Thee derivative can be viewed in four way: phyically, numerically, ymbolically,

More information

Scheduling of Jobs and Maintenance Activities on Parallel Machines

Scheduling of Jobs and Maintenance Activities on Parallel Machines Scheduling of Job and Maintenance Activitie on Parallel Machine Chung-Yee Lee* Department of Indutrial Engineering Texa A&M Univerity College Station, TX 77843-3131 cylee@ac.tamu.edu Zhi-Long Chen** Department

More information

Heat transfer to or from a fluid flowing through a tube

Heat transfer to or from a fluid flowing through a tube Heat tranfer to or from a fluid flowing through a tube R. Shankar Subramanian A common ituation encountered by the chemical engineer i heat tranfer to fluid flowing through a tube. Thi can occur in heat

More information

Analysis of Variable Frequency Three Phase Induction Motor Drive

Analysis of Variable Frequency Three Phase Induction Motor Drive World Academy of Science, ngineering and Technology 4 008 Analyi of Variable Frequency Three Phae Induction Motor Drive Thida Win, Nang Sabai, and Hnin Nandar Maung Abtract AC motor drive are widely ued

More information

QUANTIFYING THE BULLWHIP EFFECT IN THE SUPPLY CHAIN OF SMALL-SIZED COMPANIES

QUANTIFYING THE BULLWHIP EFFECT IN THE SUPPLY CHAIN OF SMALL-SIZED COMPANIES Sixth LACCEI International Latin American and Caribbean Conference for Engineering and Technology (LACCEI 2008) Partnering to Succe: Engineering, Education, Reearch and Development June 4 June 6 2008,

More information