TECHNICAL NOTES 4 VIBRATING SCREENS

Size: px
Start display at page:

Download "TECHNICAL NOTES 4 VIBRATING SCREENS"

Transcription

1 TECHNICAL NOTES 4 VIBRATING SCREENS Copyrght R P Kng 2000

2 SIZE CLASSIFICATION It s always necessary to control the sze characterstcs of partculate materal that s fed to process equpment that separates the mneralogcal components. It s not possble wthn the producton envronment to exercse precse control over the sze of all partcles n a populaton and, n most cases, sze classfcaton equpment s desgned to splt a feed of partculate materal nto a coarse and a fne product. Occasonally one or two product streams of ntermedate sze may be produced such as by a double or trple deck screen. Probably the most common applcaton of sze classfcaton s ts use to prevent oversze materal leavng a commnuton crcut. Oversze materal s recycled to a commnuton stage for further sze reducton before passng to subsequent stages of processng. The most sgnfcant consderaton when evaluatng classfcaton equpment s the lack of a clean cut at a partcular sze. Even the most effcent ndustral sze classfers wll pass a proporton of oversze materal and wll retan a porton of undersze materal. Sze classfcaton equpment s also subject to capacty lmtatons and these must be consdered when evaluatng the performance of new or exstng classfcaton equpment. In fact older methods of performance evaluaton concentrate entrely on the capacty lmtatons. However, more modern procedures recognze that the effcency of separaton must also be consdered f the performance of a sze classfer n a plant crcut s to be accurately evaluated. The procedures that follow take ths nto account. There are essentally two types of classfer avalable for process operaton: screens and classfers that rely on the varaton of termnal settlng veloctes of partcles of varyng sze when these are mmersed n a vscous flud. In general the former are used for the classfcaton of drer materal at coarser szes. 4.1 Classfcaton Based on Sevng - Vbratng screens The basc method of operaton of a screen s very smple. The screen presents a barrer to the passage of oversze materal whle t readly passes undersze materal. It s only necessary to ensure that each partcle has an opportunty to reach the screen. In practce each partcle s gven several opportuntes to pass through the screen. Screens can be statonary or the screen can vbrate whch ncreases the rate of presentaton of each partcle and asssts n movng oversze materal over and away from the screenng surface Models based on screen capacty The tradtonal method of evaluaton of screen performance s the use of a capacty measure. Ths represents the ablty of the screen to accept and handle the feed tonnage of materal. The most mportant assumpton n ths approach s that the capacty of a screen s drectly proportonal to ts 4-1

3 surface area so that the basc capacty s specfed at tons of feed per hour per square meter of screen. Ths quantty s represented by I u. The basc capacty of any screen s determned under standard operatng condtons usng a predefned standard feed materal. As the nature of the feed materal changes and as the operatng condtons change so the actual capacty of the screen changes - t wll ncrease for condtons less arduous than the standard and decrease for condtons more arduous than the standard. These modfcatons are represented by capacty factors whch multply the standard unt screen capacty to get the actual screen capacty under condtons that the screen wll actually meet n ts poston n the operatng plant Rated screen feed capacty I u K 1 K 2 áá I u K tons/hr m 2 (4-1) where the separate K are the capacty factors for devatons from the standard condtons wth respect to a number of ndvdual condtons. The basc unt capacty vares prmarly wth the sze of the screen openng - screens wth larger openngs beng able to handle large quanttes of feed materal. A typcal relatonshp between I u and mesh sze s I u 0.783h 37 for h25mm (4-2) 20.0h for h<25 mm (4-3) where I u s n tons/hr m 2 and h s the mesh sze n mms. Each screen manufacturer has ts own basc capacty-sze relatonshps for ts range of screens. The above expressons are only meant to defne a typcal trend. The ndvdual capacty factors are provded by screen manufacturers n tabular or graphcal form although the avalablty of computers s encouragng the presentaton of these factors n algebrac form. The followng factors are typcal for woven wre mesh screens. The open area factor K 1 The standard condton s usually 50% open area and the capacty s proportonal to the open area avalable. K 1 % open area 50 (4-4) For materal havng a bulk densty less than 800 kg/m 3 the standard open area s 60% rather than 50% and equaton (4.4) should be modfed accordngly. The half-sze factor K 2 Feed that contans a large proporton of materal that s consderably smaller than the screen mesh sze wll be handled more easly by a screen. The standard condton s defned as feed materal havng 40% smaller than one half of the mesh sze. If the feed has more than 40% smaller than one 4-2

4 half of the screen mesh sze, the half-sze factor wll exceed unty and vce versa. K 2 2P F (0.5h) 0.2 (4-5) The oversze factor K 3 A screen can handle a greater tonnage of feed materal that contans large quanttes of oversze materal because ths materal passes drectly over the screen and need not be transmtted through the mesh. Ths s accounted for by the oversze factor K 3 whch has a value of unty for a standard feed contanng 25% oversze materal. Ths factor ncreases very quckly as the fracton of oversze ncreases and s gven by K exp exp(4.22 P F (h) 3.50) (4-6) In equaton (4.6) P F (h) s the fracton of materal n the feed that has sze greater than the screen mesh sze h. It s related to the cumulatve sze dstrbuton functon by P F (h) 1 P F (h) (4-8) The bulk densty factor K 4 Denser materals wll be transmtted more easly than lghter materals. A factor K 4 accounts for ths effect when bulk densty dffers from the standard of 1600 kg/m 3 K 4! B 1600 (4-9) The deck poston factor K 5 Screens that are lower down n the deck receve undersze from the screen above and can handle less materal than a screen that takes fresh feed. The capacty decreases wth poston accordng to capacty factor K 5 K S (4-10) where S represents the deck poston; 1 for top deck, 2 for 2nd deck and so on. The screen angle factor K 6 The standard nclned screen has an angle of nclnaton of 15 o. Lower angles of nclnaton ncrease the projected area of the screen aperture n the horzontal plane and the screen can handle a greater load. Ths s accounted for by capacty factor K 6 where. s the angle of nclnaton n degrees. K (. 15) (4-11) The wet screen factor K 7 Screenng at fner mesh szes can be mproved by sprayng the screen load wth water. The factor K 7 accounts for ths effect 4-3

5 K (25 h) 2.5 for h 25mm 1.0 for h >25mm (4-12) The aperture shape factor K 8 The standard screen has square openngs and other shapes nfluence the capacty as shown n the table. Table 2.1 Screen capacty factor for dfferent apertures Shape of screen openng K 8 Partcle shape factor K 9 Slabby and elongated partcles are more dffcult to screen than partcles that are essentally sometrc. If the feed contans about 15% of slabby or elongated partcles K 9 should be set at 0.9. Larger amounts of ths type of materal would gve sgnfcant problems and would need to be nvestgated specally. Round Square 2 to 1 rectangular slot 3 to 1 rectangular slot 4 to 1 rectangular slot The surface mosture factor K 10 Surface mosture tends to make the partcles adhere and screen capacty s reduced. Factor K 10 accounts for ths and can be evaluated from the table below Screen transmsson effcency Ideally the screen should be able to transmt all of the undersze materal n the feed. In practce, however, not all of the undersze materal passes through the screen and the fracton of the feed undersze that does pass through s referred to as the screen effcency. The effcency s determned prmarly by the actual feed loadng on the screen relatve to the rated feed capacty as calculated by equaton (4.1). The effcency of transmsson Table 2.2 Surface mosture capacty factor for screens. Condton of feed K 10 Wet, muddy or stcky materal. Wet surface quarred and materal from surface stockples wth up to 14% mosture by volume. Dry crushed materal. Naturally or artfcally dred materal. decreases f the screen must handle feed n excess of 80% of the rated tonnage because the access of ndvdual partcles to the screen surface s hndered to a greater or lesser degree. The effcency also decreases as the actual feed tonnage falls below 80% of rated capacty because partcles tend to bounce on the lghtly loaded screen and make fewer contacts wth the screen surface. If W F represents the actual feed tonnage, then the ratng rato s gven by

6 W F RR I u K screen area (4-13) and the effcency of transmsson s gven by e (RR 0.8) 0.05(RR 0.8) 2 for RR (0.8 RR) 2 for RR < 0.8 The actual tonnage passed to the undersze stream s (4-14) W U ep F (h)w F (4-15) Each sze class smaller than the mesh sze s subject to the same effcency factor e so that the partcle sze dstrbuton n the underflow stream s calculated n dscrete form as p U 0 ep F W F p ep F (h)w F F P F (h) for d p <h for d p h (4-16) where p U s the fracton of the underflow stream n the sze class and p F that fracton n the feed stream. The actual tonnage passed to the overflow stream s W O (1 P F (h))w F (1 e)p F (h)w F W F (1 ep F (h)) and the dscrete sze dstrbuton n the overflow stream s gven by p O (1 e)p F (1 ep F (h)) p F 1 ep F (h) (4-17) for d p <h (4-18) for d p h (4-19) The smple capacty model permts the calculaton of the total screen area that s requred for a specfc duty. The aspect rato of the screen (length/wdth rato) must be determned by consderng the depth of the bed of partcles on the screen. An approxmate gude s the restrcton of the bed depth at the dscharge end to no more than 4 tmes the mesh sze. The thckness of the bed s determned by the total flowrate over the screen surface, the wdth of the screen, b, and the velocty of travel of the materal along the screen. 4-5

7 t b W O bu! b (4-20) where t b s the bed thckness, W d the mass flowrate across the dscharge end, b the screen wdth, u the velocty of travel across the screen surface and! b the bulk densty. The velocty of travel depends prmarly on the angle of nclnaton and the ampltude and mode of vbraton. 4.2 The Classfcaton Functon A more realstc descrpton of the performance of a classfcaton devce s provded by the classfcaton functon. Ths functon defnes the probablty that an ndvdual partcle wll enter the oversze stream that leaves the classfer. Ths functon s also known as the partton functon and when shown graphcally as the partton curve. It s a complcated functon of the partcle propertes and the classfyng acton of the partcular devce under consderaton. The classfcaton functon c(d p ) s defned as the mass fracton of materal n sze nterval n the feed whch fnally leaves n the oversze stream. Once the partton functon s known, the sze dstrbuton n both overflow and underflow can be calculated by a smple mass balance over the solds n sze class. W U p U (1 c(d p ))W F p F (4-21) W O p O c(d p )W F p F (4-22) where the superscrpts O, U and F refer to oversze, undersze and feed respectvely. The total flowrates of sold n the oversze and the undersze are gven by W U M W U p U M (1 c(d p ))W F p F (4-23) W O M W O p O M c(d p )W F p F (4-24) p U [1 c(d p )] W F F W Up M [1 c(d p )]p F [1 c(d p )]p F (4-25) p O c(d p ) W F F W Op M c(d p )p F c(d p )p F (4-26) These formulas are often wrtten n terms of the total yeld of solds to the overflow 4-6

8 Y s W O W F (4-27) p U (1 c(d p ))p F (4-28) 1 Y s p O c(d p )p F (4-29) Y s Y s M c(d p )p F (4-30) The Karra model The approach descrbed n the prevous secton s the tradtonal method used for szng screens. Its chef lmtaton s that the screen must be szed accordng to the amount of feed that s presented to the screen. A more logcal approach s based on the amount of materal that must be actually transmtted by the screen to the underflow stream. Ths approach has been developed by V.K. Karra (CIM Bulletn, Aprl 1979 pp ) nto an effectve descrpton of how a screen may be expected to perform durng plant operaton. The approach s smlar to the tradtonal approach but s based on the capacty of the screen to transmt undersze materal proportonal to the screen area. As n the tradtonal method ths basc capacty s modfed by a number of factors that allow for varatons of the feed materal and the screen from the standard test condtons. Let A represent the basc capacty whch s defned as the tonnage of undersze that a partcular screen can transmt per unt of screen surface area. The basc capacty s ncreased or decreased dependng on the nature of the feed and condtons on the screen. A number of capacty factors allow for the amount of oversze n the feed (factor B), the amount of half sze n the feed (factor C), the locaton of the deck (factor D), factor for wet screenng (factor E) and for materal bulk densty (factor F). These factors all have a value of unty at the nomnal standard operatng condton and move down or up as the screenng duty becomes more or less arduous. Karra has also recognzed that the amount of near-sze materal has a sgnfcant effect on the ablty of the screen to transmt undersze materal and he has ntroduced a near-sze capacty factor G c. The theoretcal amount of undersze that can be transmtted by the screen s gven by Th A.B.C.D.E.F.G c screen area (4-31) 4-7

9 A screen wll be well desgned to handle ts duty n the crcut f Th s approxmately equal to the quantty of undersze n the feed. Each of the capacty factors s related to the qualty of the feed and to the type of screen. Karra bases the screen performance on the effectve throughfall aperture of the screen defned by h T (hd w )cos d w (4-32) where d W s the dameter of the wre and s the angle of nclnaton of the deck. Equaton (4.32) gves the effectve aperture area projected onto the horzontal plane whch s approprate for partcles that must pass through the screen under gravty. The basc capacty A. The basc capacty s prmarly determned by the mesh sze of the screen wth the effectve throughfall aperture beng used as the approprate measure of screen mesh sze. wth h T n mm and A s n metrc tons/hr m 2. A 12.13h 0.32 T 10.3 for h T <51 mm (4-33) A 0.34 h T for h T 51 mm (4-34) The basc capacty wll also depend on the open area of the screen used. The basc capacty calculated from equaton (4.33) and (4.34) are applcable to standard ndustral lght-medum woven wre mesh. For other screen cloths and surfaces, A must be adjusted n proporton to the open area. The percent open area for lght-medum wre mesh s related to the mesh sze h by OA 21.5 log 10 h 37 (4-35) wth h n mllmeters. Thus capacty A must be adjusted to The oversze factor B A actual % open area OA B P F (h T ) for P F (h T )0.87 B P F (h T ) for P F (h T )>0.87 (4-36) (4-37) The half-sze factor C 4-8

10 C P F (0.5h T )forp F (0.5h T )0.3 C P F (0.5h T ) for 0.3<P F (0.5h T )0.55 C 3.35 P F (0.5h T ) 1.37 for 0.55<P F (0.5h T ) 0.8 (4-38) C 5.0 P F (0.5 h T ) 1.5 for P F (0.5h T )>0.8 The deck locaton factor D where S = 1 for top deck, S = 2 for 2nd deck and so on The wet screenng factor E Let T = 1.26 h T (h T n mm) E = 1.0 for T < 1 E = T for 1 T < 2 E = T for 2 T < 4 E = 2.5 for 4 T < 6 E = T for 6 T < 10 E = T for 10 T < 12 E = T for 12 T < 16 E = T for 16 T < 24 E = T for 24 T < 32 E = 1.15 for T > 32 whenever the materal s sprayed wth water. The bulk densty factor F D S (4-39) F! B 1600 (4-40) The near-sze capacty factor G c The capacty of the screen s also affected by the presence of near-sze materal n the feed. The nearsze materal n the feed s n the sze range from 0.75h T to 1.25h T. Consderable quanttes of nearsze materal wll nhbt the passage of undersze materal through the screen. The near-sze capacty factor can be evaluated from G c 0.975(1 near sze fracton n feed) G c P F (1.25h T ) P F (0.75h T ) (4-41) 4-9

11 4.2.2 The screen classfcaton functon In practce, not all of the undersze s transmtted because of varous physcal factors that mpar the effcency of the screen. Ths effect s descrbed by the screen partton functon. Several standard functonal forms are avalable to descrbe ths effect, and Karra uses the functon c(d p ) 1 exp[ 0.693(d p /d 50 ) 5.9 ] (4-42) whch gves the effcency of transfer of partcles of sze d p to oversze. The parameter that wll determne the screenng effcency s d 50. Values of d 50 greater than the mesh sze gve hgh effcences and vce-versa. The actual d 50 acheved wll depend prmarly on the effectve throughfall aperture of the wre mesh used on the screen, on a loadng coeffcent K defned by and on the near-sze factor G c. tons of undersze n the feed / unt of screen area K ABCDEF W F P(h T )/screen area ABCDEF (4-43) Karra has found that expermental screenng data are well represented by d 50 G c (4-44) h T K d 50 can be substtuted n equatons (4.42) and ( ) to calculate the sze dstrbutons n the two product streams. p U M [1 c(d p )]p F [1 c(d p )]p F (4-45) p O M c(d p )p F c(d p )p F (4-46) The model provdes a smulaton of the actual performance of the screen n the crcut. Ths performance can be compared wth the desgn capacty of the screen and the screen performance evaluated. In partcular, the actual operatng effcency can be calculated from smulated effcency tonnage transmtted to undersze tonnage of undersze n feed (4-47) 4-10

12 M [1 c(d p )]p F P F (h) The effectve utlzaton of the screen area can be calculated from AUF area utlzaton factor tonnage transmtted to undersze theoretcal ablty of the screen to pass undersze W F P F (h) smulated effcency A.B.C.D.E.F.G c screen area (4-48) (4-49) An AUF equal to unty ndcates that the screen capacty s exactly balanced to the requred duty. AUF > 1 ndcates that the screen s overloaded whle AUF < 1 ndcates that the screen s underloaded A partcular advantage of the Karra screen model s that no free parameters are requred to be estmated from operatng data. 4.3 A Smple Knetc Model for Screenng Screenng can be consdered to be a knetc process because the rate at whch sold partculate materal s transmtted through a screen s dependent on the nature of the screen, on the load that the screen s carryng and on the nature and sze of partcles. Obvously larger partcles are transmtted more slowly than small partcles and so on. The rate of transmsson of partcles through the screen wll vary from pont to pont on an actual screen because the load that the screen carres vares n the drecton of the materal flow. In general the rate of transmsson depends prmarly on the partcle sze relatve to the screen mesh sze. Observaton of operatng screens shows clearly that the screen acton vares accordng to the load on the screen. Near the feed end, ndustral screens are almost nvarably heavly loaded so that the partculate materal forms a multlayer of partcles on the surface. As the partcles move down the screen surface, the smaller materal falls through and the load on the screen surface decreases steadly untl only a monolayer of partcles reman. These two condtons are referred to as the crowded and separated regmes respectvely. In the crowded condton, the undersze materal must percolate through the upper layers of coarse materal before t has a chance to contact the screen and thus fall through. Thus the rate of transmsson of materal s a functon of the sze dstrbuton n the partcle layer mmedately above the screen surface. On the crowded feed end of the screen, the screen, ths layer s replenshed by downward percolaton of undersze materal through the upper layers of the bed. The net rate at whch partcles of a partcular sze are transmtted through the screen s a functon of the percolaton 4-11

13 process as well as the screen transmsson process Ths model of the screenng operaton s llustrated n Fgure 4.1 Let w (l) = mass flowrate per unt wdth of screen of materal n sze nterval down the screen at dstance l from the feed end (kg/ms). w (l) s related to the dscrete sze dstrbuton densty functon Feed Crowded regon Separated regon L c Oversze L Undersze Fgure 4.1 Varyng rate of transmsson of partcles through a wre mesh screen. by w (l) = W(l)p (l) where W(l) s the total flow of materal down the screen per unt wdth at poston l and the dependence of these functons on poston s shown explctly by the argument l. If the rate of transmsson of partcles n sze nterval s represented by r(d p ) kg/m 2 s, a dfferental mass balance gves dw (l) dl r(d p ) (4-50) Ths equaton can be ntegrated f a model for the rate of transmsson can be developed. The rate of transmsson wll be modeled dfferently under the crowded and separated condtons. Accurate models for the crowded condton are complex snce they must take nto account both the stratfcaton process and the transmsson process. A more realstc model s developed n the next secton. We assume here that the rate of transmsson does not vary along the screen under crowded condtons and that r(d p ) k(d p )M o p F (4-51) where M o s the load on the screen n kg/m 2 at the feed end. There s some expermental evdence that confrms the constant rate of transmsson under crowded condtons. Soldnger M., Interrelaton 4-12

14 of Stratfcaton and passage n the screenng process. Mnerals Engneerng 12, pp , The smplest model for the varaton of k(d p ) wth partcle sze s k(d p ) u k 0 u 1 d p u for d p < h 0 for d p h where k 0 /u s the operatng parameter. k 0 /u wll depend on the mesh sze and the fracton open area and on other operatng parameters such as vbraton ampltude and frequency. Equaton (4.50) can be ntegrated mmedately to gve w (l) w (0) r(d p )l (4-53) At the transton between the crowded regme and the separated regme l = L c w (L c ) w (0) r(d p )L c (4-54) W F b p F k(d p )M o p F L c (4-55) Let M(l) = total load per unt area of screen surface at a dstance l from the feed end n kg/m 2. The flowrate down the screen W(l) s related to the load on the screen by W(l) M(l) u (4-56) where u s the velocty at whch materal travels down the screen. w (L c ) M o up F k(d p )M o p F M o p F u k(d p )L c W F p F 1 k(d p ) u L c L c (4-57) M o p F u k(d p )L c (4-58) L c can be defned as the poston on the screen at whch partcles n the smallest sze class just become depleted u L c k(d pn ) (4-59) Under separated condtons, the rate of transmsson of partcles f sze d p s assumed to be proportonal to the amount of that materal per unt area of screen surface 4-13

15 dw (l) s(d dl p )M(l)p (l) (4-60) where p (l) = the dscrete partcle sze densty functon of the materal on the screen at dstance l from the feed end. s(d p ) = the specfc rate of transmsson for partcles of sze d p (sec -1 ) w (l) s related to M(l) by w (l) p (l)m(l)u (4-61) where u s the velocty at whch the materal travels down the screen surface dw (l) dl s(d p ) u w (l) (4-62) Ths s easy to ntegrate and match the ndvdual mass flowrates for each sze nterval at the boundary between the crowded and separated regons w (l) w (L c )exp s(d p ) u (l L c ) (4-63) w (0) r(d p )L c exp s(d p ) u (l L c ) (4-64) The partton factor can be evaluated from equaton (4.64) c(d p ) w (L) w (0) 1 r(d p )L c w (0) exp s(d p ) u (L L c ) (4-65) Ferrara et. al. (G. Ferrara, U. Pret and G.D. Schena. Internatonal Journal of Mneral Processng 22 (1988) ) have determned the specfc rate constant s(d p )/u n terms of the probablty of passage of a partcle durng a sngle contact wth the screen. Ths s usually computed as the rato of the area of the effectve aperture to the total area of the screen. In order to pass cleanly through a square mesh openng a sphercal partcle must pass wth ts center wthn a square of sde h-d p n the center of the mesh openng. Thus the probablty of passage s gven by 4-14

16 P r (h d p )2 (hd w ) 2 h 2 (hd w ) 2 f 0 1 d p h 1 d p h where f 0 s the fracton open area of the screen. Ths s llustrated n Fgure (4-66) Ferrara et. al. suggest an emprcal functonal form s(d p ) u nf 1/2 0 1 d p h 1 (4-67) where 1 s a constant that should be close to 2. n s the number of presentatons per unt length of bed. Equaton (4.67) can be wrtten s(d p ) s u d p h where s 50 s the value of s(d p )/u when the partcle sze s one half the mesh sze. 1 (4-68) h d w Open area = h 2 (h+d w) 2 d p Area for clear passage (h-d ) p 2 = (h+d w) 2 Fgure 4.2 Geometrcal restrctons on the passage of a partcle through square-mesh screen Unfortunately there s very lttle data avalable on the value of the transmsson rate for crowded condtons, r(d p ), and ts varaton wth partcle sze and wth condtons on the screen. It s also dependent on the sze dstrbuton n the feed. 4-15

TECHNICAL NOTES 3. Hydraulic Classifiers

TECHNICAL NOTES 3. Hydraulic Classifiers TECHNICAL NOTES 3 Hydraulc Classfers 3.1 Classfcaton Based on Dfferental Settlng - The Hydrocyclone 3.1.1 General prncples of the operaton of the hydrocyclone The prncple of operaton of the hydrocyclone

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

TECHNICAL NOTES 8 GRINDING. R. P. King

TECHNICAL NOTES 8 GRINDING. R. P. King TECHNICAL NOTES 8 GRINDING R. P. Kng Copyrght R P kng 000 8. Grndng 8.. Grndng acton Industral grndng machnes used n the mneral processng ndustres are mostly of the tumblng mll type. These mlls exst n

More information

CHOLESTEROL REFERENCE METHOD LABORATORY NETWORK. Sample Stability Protocol

CHOLESTEROL REFERENCE METHOD LABORATORY NETWORK. Sample Stability Protocol CHOLESTEROL REFERENCE METHOD LABORATORY NETWORK Sample Stablty Protocol Background The Cholesterol Reference Method Laboratory Network (CRMLN) developed certfcaton protocols for total cholesterol, HDL

More information

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

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

More information

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

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

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

Risk Model of Long-Term Production Scheduling in Open Pit Gold Mining

Risk Model of Long-Term Production Scheduling in Open Pit Gold Mining Rsk Model of Long-Term Producton Schedulng n Open Pt Gold Mnng R Halatchev 1 and P Lever 2 ABSTRACT Open pt gold mnng s an mportant sector of the Australan mnng ndustry. It uses large amounts of nvestments,

More information

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

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

More information

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

Published: 2003-01-01. Link to publication

Published: 2003-01-01. Link to publication A Thermodesorber for Onlne studes of Combuston Aerosols - Influence of partcle dameter, resdence tme and mass concentraton Dahl, Andreas; Pagels, Joakm Publshed: 2003-01-01 Lnk to publcaton Ctaton for

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

denote the location of a node, and suppose node X . This transmission causes a successful reception by node X for any other node

denote the location of a node, and suppose node X . This transmission causes a successful reception by node X for any other node Fnal Report of EE359 Class Proect Throughput and Delay n Wreless Ad Hoc Networs Changhua He changhua@stanford.edu Abstract: Networ throughput and pacet delay are the two most mportant parameters to evaluate

More information

Interlude: Interphase Mass Transfer

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

More information

How To Understand The Results Of The German Meris Cloud And Water Vapour Product

How To Understand The Results Of The German Meris Cloud And Water Vapour Product Ttel: Project: Doc. No.: MERIS level 3 cloud and water vapour products MAPP MAPP-ATBD-ClWVL3 Issue: 1 Revson: 0 Date: 9.12.1998 Functon Name Organsaton Sgnature Date Author: Bennartz FUB Preusker FUB Schüller

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

Viscosity of Solutions of Macromolecules

Viscosity of Solutions of Macromolecules Vscosty of Solutons of Macromolecules When a lqud flows, whether through a tube or as the result of pourng from a vessel, layers of lqud slde over each other. The force f requred s drectly proportonal

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

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

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

"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

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

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

Efficient Project Portfolio as a tool for Enterprise Risk Management

Efficient Project Portfolio as a tool for Enterprise Risk Management Effcent Proect Portfolo as a tool for Enterprse Rsk Management Valentn O. Nkonov Ural State Techncal Unversty Growth Traectory Consultng Company January 5, 27 Effcent Proect Portfolo as a tool for Enterprse

More information

Effects of Extreme-Low Frequency Electromagnetic Fields on the Weight of the Hg at the Superconducting State.

Effects of Extreme-Low Frequency Electromagnetic Fields on the Weight of the Hg at the Superconducting State. Effects of Etreme-Low Frequency Electromagnetc Felds on the Weght of the at the Superconductng State. Fran De Aquno Maranhao State Unversty, Physcs Department, S.Lus/MA, Brazl. Copyrght 200 by Fran De

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

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

Implementation of Deutsch's Algorithm Using Mathcad

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

More information

The 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

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

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

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

Mean Molecular Weight

Mean Molecular Weight Mean Molecular Weght The thermodynamc relatons between P, ρ, and T, as well as the calculaton of stellar opacty requres knowledge of the system s mean molecular weght defned as the mass per unt mole of

More information

1 Example 1: Axis-aligned rectangles

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

More information

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

VoIP Playout Buffer Adjustment using Adaptive Estimation of Network Delays

VoIP Playout Buffer Adjustment using Adaptive Estimation of Network Delays VoIP Playout Buffer Adjustment usng Adaptve Estmaton of Network Delays Mroslaw Narbutt and Lam Murphy* Department of Computer Scence Unversty College Dubln, Belfeld, Dubln, IRELAND Abstract The poor qualty

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

Rotation Kinematics, Moment of Inertia, and Torque

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

More information

Performance Analysis of Energy Consumption of Smartphone Running Mobile Hotspot Application

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

More information

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

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

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

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

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

More information

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

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

Jet Engine. Figure 1 Jet engine

Jet Engine. Figure 1 Jet engine Jet Engne Prof. Dr. Mustafa Cavcar Anadolu Unversty, School of Cvl Avaton Esksehr, urkey GROSS HRUS INAKE MOMENUM DRAG NE HRUS Fgure 1 Jet engne he thrust for a turboet engne can be derved from Newton

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

A machine vision approach for detecting and inspecting circular parts

A machine vision approach for detecting and inspecting circular parts A machne vson approach for detectng and nspectng crcular parts Du-Mng Tsa Machne Vson Lab. Department of Industral Engneerng and Management Yuan-Ze Unversty, Chung-L, Tawan, R.O.C. E-mal: edmtsa@saturn.yzu.edu.tw

More information

Lecture 2: Single Layer Perceptrons Kevin Swingler

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

More information

THE DISTRIBUTION OF LOAN PORTFOLIO VALUE * Oldrich Alfons Vasicek

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

More information

Topical Workshop for PhD students Adsorption and Diffusion in MOFs Institut für Nichtklassische Chemie, Germany, www.uni-leipzig.

Topical Workshop for PhD students Adsorption and Diffusion in MOFs Institut für Nichtklassische Chemie, Germany, www.uni-leipzig. Gas Separaton and Purfcaton Measurement of Breakthrough Curves Topcal Workshop for PhD students Adsorpton and Dffuson n MOFs Adsorpton on Surfaces / Separaton effects Useful features Thermodynamc effect

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

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

Inner core mantle gravitational locking and the super-rotation of the inner core

Inner core mantle gravitational locking and the super-rotation of the inner core Geophys. J. Int. (2010) 181, 806 817 do: 10.1111/j.1365-246X.2010.04563.x Inner core mantle gravtatonal lockng and the super-rotaton of the nner core Matheu Dumberry 1 and Jon Mound 2 1 Department of Physcs,

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

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

CHAPTER EVALUATING EARTHQUAKE RETROFITTING MEASURES FOR SCHOOLS: A COST-BENEFIT ANALYSIS

CHAPTER EVALUATING EARTHQUAKE RETROFITTING MEASURES FOR SCHOOLS: A COST-BENEFIT ANALYSIS CHAPTER 17 EVALUATING EARTHQUAKE RETROFITTING MEASURES FOR SCHOOLS: A COST-BENEFIT ANALYSIS A.W. Smyth, G. Deodats, G. Franco, Y. He and T. Gurvch Department of Cvl Engneerng and Engneerng Mechancs, Columba

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

Efficient Striping Techniques for Variable Bit Rate Continuous Media File Servers æ

Efficient Striping Techniques for Variable Bit Rate Continuous Media File Servers æ Effcent Strpng Technques for Varable Bt Rate Contnuous Meda Fle Servers æ Prashant J. Shenoy Harrck M. Vn Department of Computer Scence, Department of Computer Scences, Unversty of Massachusetts at Amherst

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

SIMPLE LINEAR CORRELATION

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

More information

CHAPTER 14 MORE ABOUT REGRESSION

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

More information

Chapter 4 ECONOMIC DISPATCH AND UNIT COMMITMENT

Chapter 4 ECONOMIC DISPATCH AND UNIT COMMITMENT Chapter 4 ECOOMIC DISATCH AD UIT COMMITMET ITRODUCTIO A power system has several power plants. Each power plant has several generatng unts. At any pont of tme, the total load n the system s met by the

More information

Analysis of Energy-Conserving Access Protocols for Wireless Identification Networks

Analysis of Energy-Conserving Access Protocols for Wireless Identification Networks From the Proceedngs of Internatonal Conference on Telecommuncaton Systems (ITC-97), March 2-23, 1997. 1 Analyss of Energy-Conservng Access Protocols for Wreless Identfcaton etworks Imrch Chlamtac a, Chara

More information

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

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

More information

APPLICATION OF PROBE DATA COLLECTED VIA INFRARED BEACONS TO TRAFFIC MANEGEMENT

APPLICATION OF PROBE DATA COLLECTED VIA INFRARED BEACONS TO TRAFFIC MANEGEMENT APPLICATION OF PROBE DATA COLLECTED VIA INFRARED BEACONS TO TRAFFIC MANEGEMENT Toshhko Oda (1), Kochro Iwaoka (2) (1), (2) Infrastructure Systems Busness Unt, Panasonc System Networks Co., Ltd. Saedo-cho

More information

Section 5.4 Annuities, Present Value, and Amortization

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

More information

CHAPTER 5 RELATIONSHIPS BETWEEN QUANTITATIVE VARIABLES

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

More information

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

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

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

More information

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

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

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

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

Selecting Test Signals for Successful Impairment Classification in VoIP Systems

Selecting Test Signals for Successful Impairment Classification in VoIP Systems 16 th IMEKO TC4 Symposum Sept. 22-24, 28, Florence, Italy Selectng Test Sgnals for Successful Imparment Classfcaton n VoIP Systems Dors Bao 1,2, Luca De Vto 1, Sergo Rapuano 1 1 Dept. of Engneerng, Unversty

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

The Application of Fractional Brownian Motion in Option Pricing

The Application of Fractional Brownian Motion in Option Pricing Vol. 0, No. (05), pp. 73-8 http://dx.do.org/0.457/jmue.05.0..6 The Applcaton of Fractonal Brownan Moton n Opton Prcng Qng-xn Zhou School of Basc Scence,arbn Unversty of Commerce,arbn zhouqngxn98@6.com

More information

Section 2 Introduction to Statistical Mechanics

Section 2 Introduction to Statistical Mechanics Secton 2 Introducton to Statstcal Mechancs 2.1 Introducng entropy 2.1.1 Boltzmann s formula A very mportant thermodynamc concept s that of entropy S. Entropy s a functon of state, lke the nternal 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

Introduction to Statistical Physics (2SP)

Introduction to Statistical Physics (2SP) Introducton to Statstcal Physcs (2SP) Rchard Sear March 5, 20 Contents What s the entropy (aka the uncertanty)? 2. One macroscopc state s the result of many many mcroscopc states.......... 2.2 States wth

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

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

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

To manage leave, meeting institutional requirements and treating individual staff members fairly and consistently.

To manage leave, meeting institutional requirements and treating individual staff members fairly and consistently. Corporate Polces & Procedures Human Resources - Document CPP216 Leave Management Frst Produced: Current Verson: Past Revsons: Revew Cycle: Apples From: 09/09/09 26/10/12 09/09/09 3 years Immedately Authorsaton:

More information

Rapid Estimation Method for Data Capacity and Spectrum Efficiency in Cellular Networks

Rapid Estimation Method for Data Capacity and Spectrum Efficiency in Cellular Networks Rapd Estmaton ethod for Data Capacty and Spectrum Effcency n Cellular Networs C.F. Ball, E. Humburg, K. Ivanov, R. üllner Semens AG, Communcatons oble Networs unch, Germany carsten.ball@semens.com Abstract

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

Development of an intelligent system for tool wear monitoring applying neural networks

Development of an intelligent system for tool wear monitoring applying neural networks of Achevements n Materals and Manufacturng Engneerng VOLUME 14 ISSUE 1-2 January-February 2006 Development of an ntellgent system for tool wear montorng applyng neural networks A. Antć a, J. Hodolč a,

More information

Data Broadcast on a Multi-System Heterogeneous Overlayed Wireless Network *

Data Broadcast on a Multi-System Heterogeneous Overlayed Wireless Network * JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 24, 819-840 (2008) Data Broadcast on a Mult-System Heterogeneous Overlayed Wreless Network * Department of Computer Scence Natonal Chao Tung Unversty Hsnchu,

More information

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

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

More information

Sharp-Crested Weir Discharge Coefficient

Sharp-Crested Weir Discharge Coefficient 2011, Scencelne Publcaton Journal of Cvl Engneerng and Urbansm Volume 3, Issue 3: 87-91 (2013) (Receved: December 13, 2012; Accepted: May 7, 2013; Publshed: May 30, 2013) ISSN-2252-0430 Sharp-Crested Wer

More information

Optical Measurement of the Speed of Sound in Air Over the Temperature Range 300-650 K

Optical Measurement of the Speed of Sound in Air Over the Temperature Range 300-650 K NASA/CR-2000-210114 ICASE Report No. 2000-20 Optcal Measurement of the Speed of Sound n Ar Over the Temperature Range 300-650 K Roger C. Hart ICASE, Hampton, Vrgna R. Jeffrey Balla and G.C. Herrng NASA

More information

MACHINE VISION SYSTEM FOR SPECULAR SURFACE INSPECTION: USE OF SIMULATION PROCESS AS A TOOL FOR DESIGN AND OPTIMIZATION

MACHINE VISION SYSTEM FOR SPECULAR SURFACE INSPECTION: USE OF SIMULATION PROCESS AS A TOOL FOR DESIGN AND OPTIMIZATION MACHINE VISION SYSTEM FOR SPECULAR SURFACE INSPECTION: USE OF SIMULATION PROCESS AS A TOOL FOR DESIGN AND OPTIMIZATION R. SEULIN, F. MERIENNE and P. GORRIA Laboratore Le2, CNRS FRE2309, EA 242, Unversté

More information

Systems. Power Distribution. Power Distribution Systems 1.0-1. Contents

Systems. Power Distribution. Power Distribution Systems 1.0-1. Contents August Sheet 00.0- Power Dstrbuton Systems Contents System Desgn Basc Prncples............- Modern Electrc Power Technologes............- Goals of System Desgn....- Voltage Classfcatons; BILs Basc Impulse

More information

Simulating injection moulding of microfeatured components

Simulating injection moulding of microfeatured components Smulatng njecton mouldng of mcrofeatured components T. Tofteberg 1 * and E. Andreassen 1 1 SINTEF Materals and Chemstry, Oslo, Norway terje.tofteberg@sntef.no; erk.andreassen@sntef.no Numercal smulaton

More information

Project Networks With Mixed-Time Constraints

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

More information

Luby s Alg. for Maximal Independent Sets using Pairwise Independence

Luby s Alg. for Maximal Independent Sets using Pairwise Independence Lecture Notes for Randomzed Algorthms Luby s Alg. for Maxmal Independent Sets usng Parwse Independence Last Updated by Erc Vgoda on February, 006 8. Maxmal Independent Sets For a graph G = (V, E), an ndependent

More information

Statistical Methods to Develop Rating Models

Statistical Methods to Develop Rating Models Statstcal Methods to Develop Ratng Models [Evelyn Hayden and Danel Porath, Österrechsche Natonalbank and Unversty of Appled Scences at Manz] Source: The Basel II Rsk Parameters Estmaton, Valdaton, and

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

Evaluating Earthquake Retrofitting Measures for Schools: A Demonstration Cost-Benefit Analysis

Evaluating Earthquake Retrofitting Measures for Schools: A Demonstration Cost-Benefit Analysis Evaluatng Earthquake Retrofttng easures for Schools: A emonstraton Cost-Beneft Analyss A.W. Smyth, G. eodats 2, G. Franco 3, Y. He 4, and T. Gurvch 4 ept. of Cvl Engneerng & Engneerng echancs Columba Unversty,

More information