Coefficients of Propeller-hull Interaction in Propulsion System of Inland Waterway Vessels with Stern Tunnels

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "Coefficients of Propeller-hull Interaction in Propulsion System of Inland Waterway Vessels with Stern Tunnels"

Transcription

1 hp:// he Inernaional Journal on Marine Navigaion and Safey of Sea Transporaion Volume 8 Number 3 Sepember 214 DOI: / Coefficiens of Propeller-hull Ineracion in Propulsion Sysem of Inland Waerway Vessels wih Sern Tunnels J. Kulczyk & T. Tabaczek Wrocław Universiy of Technology, Wrocław, Poland ABSTRACT: Propeller hull ineracion coefficiens he wake fracion and he hrus deducion facor play significan role in design of propulsion sysem of a ship. In he case of inland waerway vessels he reliable mehod of predicing hese coefficiens in early design sage is missing. Based on he oucomes from model ess and from numerical compuaions he presen auhors show ha i is difficul o deermine uniquely he rends in change of wake fracion and hrus deducion facor resuling from he changes of hull form or operaing condiions. Nowadays he resisance and propulsion model ess of inland waerway vessels are carried ou rarely because of relaively high coss. On he oher hand, he degree of developmen of compuaional mehods enables o esimae he reliable values o ineracion coefficiens. The compuaions referred o in he presen paper re carried ou using he auhors own sofware HPSDKS and he commercial sofware Ansys Fluen 1 INTRODUCTION For correc design of propulsion sysem wih screw propeller for inland waerway vessel he precise deerminaion of propeller hull ineracion coefficiens is required. These coefficiens are he wake fracion (denoed wih w) and he hrus deducion facor (denoed wih ). The former coefficien describes he acual inflow velociy o propeller, ha is usually lor han ship speed because of wake behind he ship. The laer describes he increase in hull resisance due o he sucion of propeller, and is used o deermine he hrus required o achieve he assumed ship speed. Propeller hrus a given ship speed is usually greaer han he resisance of od ship hull. The proporion (1 )/(1 w) in naval archiecure is called he hull efficiency. Acually, i is no he efficiency in meaning of echnology. I is raher he coefficien ha accouns for he influence of propellerhull hydrodynamic ineracion on he efficiency of propulsion sysem. Hull efficiency greaer han 1. means ha here is he beneficial muual fi of propeller and hull, and increases he overall efficiency of propulsion sysem. Errors in deerminaion of values of ineracion coefficiens in he course of ship design are bad for operaion of propulsion sysem in real operaing condiions [8]. The error in deerminaion of wake fracion resuls in errors in advance speed VA and in open waer efficiency of propeller η. The difference been assumed and acual value of efficiency is deermined by he following equaion: d o w dw 1 KQ 1 KT 1 J o 1 w w KQ J KT J J (1) 377

2 and affecs he ship speed: dv w dw (2) V 1 w w where: η open waer efficiency of propeller, J advance coefficien of propeller, w wake fracion, KT hrus coefficien, KQ orque coefficien, V ship speed. When w<.5 he relaive error in speed dv/v is smaller han he error in wake fracion dw/w. Posiive value of dw/w resuls in higher acual speed. In predicion of ship speed he underesimaed values of wake fracion may become beneficial, especially when he highes possible ship speed is he goal of propeller design. For sea going ships here is a number of reliable empirical formulae in he lieraure for deerminaion of values of ineracion coefficiens. Those formulae are based on he resuls of sysemaic model ess wih various hull forms. For inland waerway vessels such formulae are missing because of lack of sysemaic model ess. The effecs of waer deph, ship speed (propeller loading) and heigh of sern unnel(s) on wake fracion and hrus deducion facor have no been sufficienly invesigaed. The oucomes from ess carried ou wih moor cargo vessel GUSTAW KOENIGS [1] show ha he effec of sream in waer on wake fracion and hrus deducion facor is also significan. Available oucomes from model ess and resuls of numerical compuaions are no numerous enough o predic he values of ineracion coefficiens reliably in he case of newly designed vessels or in he case of variable operaing condiions. 2 DETERMINATION OF INTERACTION COEFFICIENTS Wake fracion and hrus deducion facor for given ship are deermined using he resuls of resisance and propulsion model ess, he resuls of numerical compuaions, or empirical formulae. Model ess are ime consuming and expensive. In he case of inland waerway vessel he coss of model ess are high in comparison o he coss of ship design and consrucion. Therefore hey are carried ou rarely. Numerical compuaions using he commercial CFD sofware provide reliable resuls, bu are also labour consuming and require he efficien hardware. Compuaions are also expensive. Empirical formulae based on oucomes from numerous model ess and on daa from operaion of real vessels, are commonly used in early design sages, as ll as in real ime conrol of propulsion sysem. The mehods developed for sea going ships are precise enough owing o numerous experimenal daa from model ess. For inland waerway vessels he reliable empirical formulae are missing due o much less number of model ess carried ou in he pas.. The deerminaion of hrus deducion facor based on daa from model ess or resuls of numerical compuaions of ship flow (wih operaing propeller and wihou propeller) is sraighforward. Using values of hull resisance R and propeller hrus T he value of hrus deducion facor is calculaed according o is definiion: = (T R)/T. Two wake coefficiens are used in design of screw propellers: he nominal wake fracion (in propeller disk behind he hull od wihou propeller, denoed wih wn) and he effecive wake fracion (for propeller operaing in ship wake, denoed wih ). The nominal wake fracion represens he acual mean velociy of wake flow in propeller disk Vn. I is defined as proporion wn = (VS Vn)/VS, and is deermined based on direc measuremens or compuaions of flow velociy. The effecive wake fracion represens he men inflow velociy o he propeller operaing in ship wake or, oherwise he advance speed of propeller VA. I is defined as proporion = (VS VA)/VS, and accouns for he influence of he running propeller on flow in hull boundary layer and wake. Effecive wake fracion is deermined using he magniudes measured in propulsion es and he open waer hydrodynamic characerisics of propeller. Performance of propeller operaing in ship wake (hrus or orque) is compared o he performance of he same propeller in open waer, wih assumpion of hrus ideniy or orque ideniy, in order o deermine advance speed VA. Thrus ideniy is usually applied in model ess. Torque ideniy is applied o full scale measuremens when only orque is measured on propeller shaf. Values deermined wih he assumpion of orque ideniy may differ considerably from values deermined wih he assumpion of hrus ideniy. Recommended procedures prepared by he Inernaional Towing Tank Conference [9] sandardize he mehodology of deerminaion of propeller hull ineracion coefficiens. In he following secions he auhors presen he analysis of he influence of operaing condiions (i.e. ship loading, waer deph and ship speed) and heigh of sern unnel on propeller hull ineracion coefficiens for inland waerway vessels. The analysis is based on oucomes from model ess and resuls of numerical compuaions. I refers o convenional inland waerway cargo ships wih sern unnels moor cargo vessels and pushed barge rains made up of dumb barges coupled wih a pushboa. 3 INTERACTION COEFFICIENTS FOR MOTOR CARGO VESSELS Main pariculars and hull forms of considered moor cargo vessels are presened in Table 1 and in Figures 1 and 2. Model ess of moor cargo vessel BM DUISBURG [3] included he measuremens of flow velociy in propeller disk wihou propeller (nominal wake) and he measuremens of flow velociy in plane locaed in 378

3 disance.4 of propeller diameer in fron of operaing propeller (Fig. 1). Effecive wake fracion was deermined wih assumpion of hrus ideniy. Tess re carried ou a various operaing condiions (ship draugh, waer deph and ship speed see Table 1). Convenional resisance and propulsion ess re carried ou wih moor cargo vessel OBM [2]. Effecive wake fracion was deermined wih he assumpion of hrus ideniy as ll as orque ideniy, in wide range of ship speed, for he vessel sailing alone ( solo ) and coupled wih a single dumb barge ( kombi ). Model ess of OBM in boh arrangemens re also reproduced in numerical compuaions [7]. Tess and compuaions re carried ou a wo values of draugh, in deep and in shallow (h/t=1,56) waer. Resuls are presened in Table 2. Figue 1. Hull form of moor cargo vessel BM DUISBURG Figue 2. Hull form of moor cargo vessel OBM Table 1. Main pariculars and operaing condiions of model ships, [3], [2] Vessel BM DUISBURG OBM Scale 1 : : 16 LWL [m] B [m] T [m] CB [ ] h [m] V [m/s ] Propellers ype screw propeller duced propeller Ka4 55 D [ m ] P/D [ ].65.9 AE/AO [ ]

4 Table 2. Resuls of model ess and numerical compuaions Vessel BM DUISBURG OBM Scale 1 : : 16 T [m] h [m] h/t V [m/s] Fnh n [rps] Coefficiens of propeller hull ineracion Tes wn T Q wzp Compu. wn Fluen wzp Compu. wn HPSDK wzp T - effecive wake fracion based on hrus ideniy Q - effecive wake fracion based on orque ideniy wzp = (VS-Vzp)/VS where Vzp denoes he mean velociy in fron of operaing propeller, and VS is he corresponding ship speed wzp = (VS-Vzp)/VS where Vzp denoes he mean velociy in fron of operaing propeller, and VS is he corresponding ship speed OBM OBM : T=1.6m, deep waer,2,2,15,15,1,5 T=1.6m, deep w. T=2.36m, deep w. T=1.6m, h=2.5m,1, , ,5 -,1 -,1 OBM OBM : T=1.6m, deep waer,6,5,4,3,2,1 -, ,2 T=1.6m, deep w. T=2.36m, deep w. T=1.6m, h=2.5m,6,5,4,3,2,1 -, ,2 Figure 3. Wake fracion ( T) and hrus deducion facor () for moor cargo vessel OBM (in model scale),2,15 OBM : T=2.36m, deep waer,1, ,5 -,1 38

5 ,6,5,4,3,2,1 -,2 OBM : T=2.36m, deep waer -, ,2,15,1,5 -,1 OBM : T=1.6m, h=2.5m ,5,6,5,4,3,2,1 -,2 OBM : T=1.6m, h=2.5m -, Figure 4. Comparison of wake fracion ( T) and hrus deducion facor () for moor cargo vessel OBM sailing alone ( solo ) and coupled wih a single dumb barge ( kombi ),7,6,5,4,3,2,1 OBM 'soko' -, OBM T, T=1.6m, deep w. T, T=2.36m, deep w. T, T=1.6m, h=2.5m Q, T=1.6m, deep w. Q, T=2.36m, deep w. Q, T=1.6m, h=2.5m,7,6,5 T, T=1.6m, deep w. T, T=2.36m, deep w.,4 T, T=1.6m, h=2.5m Q, T=1.6m, deep w.,3 Q, T=2.36m, deep w.,2 Q, T=1.6m, h=2.5m,1 -, Figure 5. Comparison of effecive wake fracion deermined wih assumpion of hrus ideniy (T) and deermined wih assumpion of orque ideniy (Q) for moor cargo vessel OBM sailing alone ( solo ) and coupled wih a single dumb barge ( kombi ),3,25,2,15,1,5,3,25,2,15,1,5 BM-DUISBURG 2 2,5 3 3,5 T [m] BM-DUISBURG 2 2,5 3 3,5 T [m] Figure 6. The effec of ship loading (ship draugh) on wake fracion () and hrus deducion facor () for moor cargo vessel BM DUISBURG a consan deph of waer h=5.m (in model scale),3,25,2,15,1,5,35,3,25,2,15,1,5 BM-DUISBURG h [m] BM-DUISBURG h [m] Figure 7. The effec of waer deph on wake fracion () and hrus deducion facor () for moor cargo vessel BM DUISBURG a consan draugh T=2.5m (in model scale) When ship speed increases he effecive wake fracion is geing aker (Fig. 3). In deep waer, a speeds higher han 12km/h becomes almos seady. In shallow waer (h/t=1.56) he wake fracion decreases faser, and a speed of 12km/h (Fnh=.67) is considerably less han in deep waer, because of inensive sinkage and rim by sern. The change of draugh in deep waer does no affec he wake 381

6 fracion as far as op of sern unnel is below he free surface in calm waer. In arrangemen wih dumb barge ( kombi ) boh values and rends in change of he effecive wake fracion are almos he same as when sailing alone (Fig. 4). When ship speed increases he hrus deducion facor also increases (Fig. 3). In shallow waer he values are greaer han in deep waer. The effec of draugh a highes speed in deep waer is negligible. Based on daa shown in Fig. 4 one can no conclude he changes in hrus deducion facor caused by enlargemen of ship lengh (by coupling wih a barge). The diagrams shown in Fig. 5 illusrae he difference been values of wake fracion deermined wih he assumpion of hrus ideniy and deermined wih he assumpion of orque ideniy. The exen of model ess wih he moor cargo vessel BM DUISBURG allows o idenify he variaion of ineracion coefficiens caused by change of draugh in shallow waer (1.56 h/t 2.; see Fig. 6). When ship draugh increases he wake fracion evidenly decreases due o decreasing under keel clearance been ship and boom of waerway. A he same ime he hrus deducion facor slighly increases. Reducion of waer deph a consan ship draugh caused he akening of wake and inensificaion of propeller sucion (Fig. 7). Reducion of under keel clearance is considerable and one migh expec greaer difference been values of wake fracion. Hover, he rends are he same as in he case of reducion of under keel clearance by increasing ship draugh a consan waer deph, or in he case of ransiion from deep o shallow waer in ess wih moor cargo vessel OBM. 4 INTERACTION COEFFICIENTS FOR PUSHED BARGE TRAINS Model ess of pushed barge rains wih winpropeller pushboa and riple propeller pushboa re carried ou in research cenre in Duisburg [4], [5]. The win propeller pushboa was esed in rain wih 4 dumb barges arranged in wo rows, a barge draugh of 2.8m (.175m in model scale) and 3.2m (.2m in model scale). The riple propeller pushboa was esed in rain wih 6 dumb barges arranged in wo rows, a barge draugh of 3.m (. 188m in model scale). Numerical compuaions re carried ou using heoreical model described in [6], a he same operaing condiions as in model ess. Main pariculars of pushboas and dumb barge EUROPA II are given in Table 3. Hull forms of considered pushboas are shown in Figures 8 and 9. Table 3. Main pariculars of esed pushboas and dumb barges [4], [5] Vessel Twin Triple Dumb barge screw screw EUROPA II pushboa pushboa Scale 1 :16 1 : 16 1 : 16 LOA [m] LWL [m] B [m] T [m] CB [ ] Screw propeller z 4 4 D [m] P/D [ ] Ag/A [ ] h [m].3125 Table 4. Resuls of model ess and numerical compuaions Vessel Twin screw Triple screw pushboa pushboa h [m] T [m] (pushboa) TB [m] (dumb barges) h/tb V [m/s] Fnh n [rps] Cenral Side Side propeller propeller propeller (screw (duced prop.) prop.) Model es wn wzp Compu. wn (HPSDK) wzp KT

7 Figur 8. Hull form of win screw pushboa Figure 9. Hull form of riple screw pushboa The resuls of model ess and numerical compuaions are presened in Table 4. In he case of esed pushed barge rains in shallow waer he increase of barge draugh a consan waer deph caused increase of wake fracion. The rend is opposie o ha observed in he case of moor cargo vessels and described in he preceding secion. The reason is ha he draugh of pushboa remained unchanged and, in fac, i was he change of hull form and no only of ship draugh. Some regulariies in variaion of ineracion coefficiens observed in he case of moor cargo vessel do no refer o pushed barge rains. Moreover, in he case of pushboas ha operae a almos consan draugh, regardless of he draugh of barges, he heigh of unnels is usually greaer han draugh, in order o accommodae propeller of sufficien diameer. Tha is why he values of nominal and effecive wake fracion are, in general, greaer han in he case of moor cargo vessels where he op of sern unnel is below he free surface of waer. The effec of unnel heigh on coefficiens of propeller hull ineracion was sudied heoreically for virual pushboa of simplified hull form [7]. Main pariculars of virual pushboa are given in Table 5. The secion along he sern unnel of virual pushboa is shown in Fig. 6. According o he pracice in design of inland waerway vessels, he unnel heigh of 1.3m is considered he maximum applicable a ship draugh of 1.m. Table 5. Main pariculars of virual pushboa [7] Lengh, L [m] 2. Beam, B [m] 9. Draugh, T [m] 1. Heigh of unnel, hw [m] 1.1; 1.3; 1.5 Slope of unnel, [deg] 25 Figure 6. Secion along he sern unnel of virual pushboa 383

8 Three values of unnel heigh re considered (Table 6). For each heigh he diameer of duced propeller was deermined wih assumpion, ha nozzle is inegraed wih ship hull. Using he es daa of Ka4 7 screw series in nozzle 19A he propeller pich was designed so as o achieve maximum hrus a given advance speed VA=2.1m/s. Thrus of propeller and mean pressure gradien in propeller disk re deermined for hree values of ship speed, based on propulsive characerisics. The resuls are presened in Table 6. Table 6. Diameer and hrus of duced propellers designed for virual pushboa hw D Z n VS T p [m] [m] [m] [rps] [m/s] [kn] [kpa] Using CFD sofware Ansys Fluen and he acuaor disk wih pressure gradien o simulae he acion of propeller a series of numerical compuaions re carried ou a waer deph of 1.5 and 3.m. The values of nominal wake fracion and hrus deducion facor deermined for virual pushboa are presened in Table 7. Table 7. Nominal wake fracion and hrus deducion facor deermined for virual pushboa hw [m] VS [m/s] h/t wn CONCLUSIONS Due o he lile amoun of daa he conclusions are raher qualiaive han quaniaive and refer o model scale, hover, shall be valid also in full scale. The resuls of model ess and numerical compuaions show ha operaing parameers considered in his paper, i.e. ship loading (or corresponding ship draugh), waer deph and ship speed, affec he values of boh wake fracion and hrus deducion facor. Considering inland waerway vessels wih sern unnels ha do no rise above free surface of waer (hw < h), as moor cargo vessels wih full or parial loading, one may expec ha: The increase of ship speed in deep as ll as in shallow waer causes he decrease of wake fracion and increase of hrus deducion facor. A higher speeds in deep waer he wake fracion becomes seady. In shallow waer he wake fracion decreases unil deph Froude number (Fnh = VS/(gh) 1/2 ) reaches he value of.65. Operaion of cargo vessels a higher speed is unprofiable and may cause grounding due o inensive rim and sinkage of ship. Change of ship loading (and corresponding change of ship draugh) in deep waer does no affec he propeller hull ineracion coefficiens. In shallow waer boh he reducion of waer deph as ll as he increase of ship draugh resul in decrease of under keel clearance and in he same rends in variaion of ineracion coefficiens: when he disance been hull and waerway boom (or h/t raio) decreases, wake fracion also decreases and hrus deducion facor increases. The effecive wake fracion deermined wih assumpion of orque ideniy differs significanly from ha deermined wih assumpion of hrus ideniy. In he case of pushed barge rains he change of barge loading (or change of barge draugh) does nor affec he draugh of pushboa, and implies he change of hull form. Regulariies in variaion of ineracion coefficiens observed in he case of moor cargo vessel may no obey in he case of pushed barge rains. The resuls of model ess and numerical compuaions also show ha he heigh of sern unnels affecs he flow around ship considerably, and, in consequence, he value of hrus deducion facor. REFERENCES [1] Graff, W.: Unersuchungen über Änderungen von Sog und Nachsrom auf beschranker Wasseriefe in sehenden und sromendern Wasser, Schiffsechnik, Bd. 8, H.44, 1961 [2] Badania modelo OBM, Cenrum Techniki Okręoj, Gdańsk 1975 [3] Luhra, G.: Unersuchung der Nachsromvereilung an einem 2 Schrauben Binnenguermoorschiff, Versuchsansal für Binnenschiffbau E.V., Duisburg, Berich Nr. 788 [4] Luhra, G.: Unersuchung der Nachsomvereilung eines im Verband schiebenden Schubboos in Pononform mi einer zcks Verbesserung zum Propeller geänderen Zwierumpf Unerwasserformgebung, Versuchsansal für Binnenschiffbau E.V., Duisburg, Berich Nr. 72 [5] Luhra, G.: Unersuchung der Nachsromverhälnisse an Drei und Vier Schrauben Schubbooen, Versuchsansal für Binnenschiffbau E.V., Duisburg, Berich Nr. 919 [6] Kulczyk, J.: Modelowanie numeryczne oddziaływań hydrodynamicznych w układzie napędowym saku śródlądogo, Prace Nauko Insyuu Konsrukcji i Eksploaacji Maszyn, Poliechnika Wrocławska, Seria: Monografie, Nr 17, Wrocław, 1992 [7] Kulczyk, J., Tabaczek, T., Zawiślak, M., Zieliński, A., Werszko, R.: Numeryczne modelowanie przepływu lepkiego wokół kadłuba saku śródlądogo na ograniczonej drodze wodnej, Insyu Konsrukcji i Eksploaacji Maszyn, Poliechnika Wrocławska, Rapor z serii Prepriny, Nr S 43/3, Wrocław, 23 [8] Kulczyk, J.; Winer, J.: Śródlądowy ranspor wodny, Oficyna Wydawnicza Poliechniki Wrocławskiej, Wrocław, 23 [9] Inernaional Towing Tank Conference: Qualiy Sysems Manual, Version 211, ITTC Recommended Procedures and Guidelines 384

A Study on the Powering Performance of Multi-Axes Propulsion Ships with Wing Pods

A Study on the Powering Performance of Multi-Axes Propulsion Ships with Wing Pods Second Inernaional Symposium on Marine Propulsors smp amburg Germany une A Sudy on he Powering Performance of Muli-Axes Propulsion Ships wih Wing Pods eungwon Seo Seokcheon Go Sangbong Lee and ungil Kwon

More information

An Alternative Mathematical Model for Oxygen Transfer Evaluation in Clean Water

An Alternative Mathematical Model for Oxygen Transfer Evaluation in Clean Water An Alernaive Mahemaical Model for Oxygen Transfer Evaluaion in Clean Waer Yanjun (John) He 1, PE, BCEE 1 Kruger Inc., 41 Weson Parkway, Cary, NC 27513 Email: john.he@veolia.com ABSTRACT Energy consumpion

More information

CALCULATION OF EXPECTED SLIDING DISTANCE OF BREAKWATER CAISSON CONSIDERING VARIABILITY IN WAVE DIRECTION

CALCULATION OF EXPECTED SLIDING DISTANCE OF BREAKWATER CAISSON CONSIDERING VARIABILITY IN WAVE DIRECTION CALCULATION OF EXPECTED SLIDING DISTANCE OF BREAKWATER CAISSON CONSIDERING VARIABILITY IN WAVE DIRECTION SU YOUNG HONG School of Civil, Urban, and Geosysem Engineering, Seoul Naional Universiy, San 56-1,

More information

Using Rates of Change to Create a Graphical Model. LEARN ABOUT the Math. Create a speed versus time graph for Steve s walk to work.

Using Rates of Change to Create a Graphical Model. LEARN ABOUT the Math. Create a speed versus time graph for Steve s walk to work. 2.4 Using Raes of Change o Creae a Graphical Model YOU WILL NEED graphing calculaor or graphing sofware GOAL Represen verbal descripions of raes of change using graphs. LEARN ABOUT he Mah Today Seve walked

More information

The Measuring System for Estimation of Power of Wind Flow Generated by Train Movement and Its Experimental Testing

The Measuring System for Estimation of Power of Wind Flow Generated by Train Movement and Its Experimental Testing Energy and Power Engineering, 2014, 6, 333-339 Published Online Ocober 2014 in SciRes. hp://www.scirp.org/journal/epe hp://dx.doi.org/10.4236/epe.2014.611028 The Measuring Sysem for Esimaion of Power of

More information

SIMULATION OF WAVE EFFECT ON SHIP HYDRODYNAMICS BY RANSE

SIMULATION OF WAVE EFFECT ON SHIP HYDRODYNAMICS BY RANSE 1 h Inernaional Conference on Sabiliy of Ships and Ocean Vehicles 591 SIMULATION OF WAVE EFFECT ON SHIP HYDRODYNAMICS BY RANSE Qiuxin Gao, Universiy of Srahclyde, UK, Gao.q.x@srah.ac.uk Dracos Vassalos,

More information

Paul M. Sommers David U. Cha And Daniel P. Glatt. March 2010 MIDDLEBURY COLLEGE ECONOMICS DISCUSSION PAPER NO

Paul M. Sommers David U. Cha And Daniel P. Glatt. March 2010 MIDDLEBURY COLLEGE ECONOMICS DISCUSSION PAPER NO AN EMPIRICAL TEST OF BILL JAMES S PYTHAGOREAN FORMULA by Paul M. Sommers David U. Cha And Daniel P. Gla March 2010 MIDDLEBURY COLLEGE ECONOMICS DISCUSSION PAPER NO. 10-06 DEPARTMENT OF ECONOMICS MIDDLEBURY

More information

Morningstar Investor Return

Morningstar Investor Return Morningsar Invesor Reurn Morningsar Mehodology Paper March 3, 2009 2009 Morningsar, Inc. All righs reserved. The informaion in his documen is he propery of Morningsar, Inc. Reproducion or ranscripion by

More information

The t-test. What We Will Cover in This Section. A Research Situation

The t-test. What We Will Cover in This Section. A Research Situation The -es 1//008 P331 -ess 1 Wha We Will Cover in This Secion Inroducion One-sample -es. Power and effec size. Independen samples -es. Dependen samples -es. Key learning poins. 1//008 P331 -ess A Research

More information

The safe ships trajectory in a restricted area

The safe ships trajectory in a restricted area Scienific Journals Mariime Universiy of Szczecin Zeszyy Naukowe Akademia Morska w Szczecinie 214, 39(111) pp. 122 127 214, 39(111) s. 122 127 ISSN 1733-867 The safe ships rajecory in a resriced area Zbigniew

More information

LEWA intellidrive. The mechatronic All-in-One pump system. intelligent flexible dynamic high precision. Foto: ratiopharm

LEWA intellidrive. The mechatronic All-in-One pump system. intelligent flexible dynamic high precision. Foto: ratiopharm The mecharonic All-in-One pump sysem Foo: raiopharm inelligen flexible dynamic high precision For diverse applicaions: a limiless range of poenial uses Phoo: raiopharm Mixing wo media in one pump head:

More information

Strategic Decision Making in Portfolio Management with Goal Programming Model

Strategic Decision Making in Portfolio Management with Goal Programming Model American Journal of Operaions Managemen and Informaion Sysems 06; (): 34-38 hp://www.sciencepublishinggroup.com//aomis doi: 0.648/.aomis.0600.4 Sraegic Decision Making in Porfolio Managemen wih Goal Programming

More information

Reproducing laboratory-scale rip currents on a barred beach by a Boussinesq wave model

Reproducing laboratory-scale rip currents on a barred beach by a Boussinesq wave model See discussions, sas, and auhor profiles for his publicaion a: hps://www.researchgae.ne/publicaion/9977 Reproducing laboraory-scale rip currens on a barred beach by a Boussinesq wave model Aricle in Journal

More information

Interpreting Sinusoidal Functions

Interpreting Sinusoidal Functions 6.3 Inerpreing Sinusoidal Funcions GOAL Relae deails of sinusoidal phenomena o heir graphs. LEARN ABOUT he Mah Two sudens are riding heir bikes. A pebble is suck in he ire of each bike. The wo graphs show

More information

KINEMATICS IN ONE DIMENSION

KINEMATICS IN ONE DIMENSION chaper KINEMATICS IN ONE DIMENSION Secion 2.1 Displacemen Secion 2.2 Speed and Velociy 1. A paricle ravels along a curved pah beween wo poins P and Q as shown. The displacemen of he paricle does no depend

More information

Capacity Utilization Metrics Revisited: Delay Weighting vs Demand Weighting. Mark Hansen Chieh-Yu Hsiao University of California, Berkeley 01/29/04

Capacity Utilization Metrics Revisited: Delay Weighting vs Demand Weighting. Mark Hansen Chieh-Yu Hsiao University of California, Berkeley 01/29/04 Capaciy Uilizaion Merics Revisied: Delay Weighing vs Demand Weighing Mark Hansen Chieh-Yu Hsiao Universiy of California, Berkeley 01/29/04 1 Ouline Inroducion Exising merics examinaion Proposed merics

More information

What is a Practical (ASTM C 618) SAI--Strength Activity Index for Fly Ashes that can be used to Proportion Concretes Containing Fly Ash?

What is a Practical (ASTM C 618) SAI--Strength Activity Index for Fly Ashes that can be used to Proportion Concretes Containing Fly Ash? 2017 World of Coal Ash (WOCA) Conference in Lexingon, KY - May 9-11, 2017 hp://www.flyash.info/ Wha is a Pracical (ASTM C 618) SAI--Srengh Aciviy Index for Fly Ashes ha can be used o Proporion Concrees

More information

ANALYSIS OF RELIABILITY, MAINTENANCE AND RISK BASED INSPECTION OF PRESSURE SAFETY VALVES

ANALYSIS OF RELIABILITY, MAINTENANCE AND RISK BASED INSPECTION OF PRESSURE SAFETY VALVES ANALYSIS OF RELIABILITY, MAINTENANCE AND RISK BASED INSPECTION OF PRESSURE SAFETY VALVES Venilon Forunao Francisco Machado Mechanical Engineering Dep, Insiuo Superior Técnico, Av. Rovisco Pais, 049-00,

More information

AP Physics 1 Per. Unit 2 Homework. s av

AP Physics 1 Per. Unit 2 Homework. s av Name: Dae: AP Physics Per. Uni Homework. A car is driven km wes in hour and hen 7 km eas in hour. Eas is he posiive direcion. a) Wha is he average velociy and average speed of he car in km/hr? x km 3.3km/

More information

Urban public transport optimization by bus ways: a neural network-based methodology

Urban public transport optimization by bus ways: a neural network-based methodology Urban Transpor XIII: Urban Transpor and he Environmen in he 21s Cenury 347 Urban public ranspor opimizaion by bus ways: a neural nework-based mehodology M. Migliore & M. Caalano Deparmen of Transporaion

More information

2. JOMON WARE ROPE STYLES

2. JOMON WARE ROPE STYLES Proceedings of he IIEEJ Image Elecronics and Visual Compuing Workshop 2012 Kuching, Malaysia, November 21-24, 2012 A SIMULATION SYSTEM TO SYNTHESIZE ROPE ROLLING PATTERNS IN A VIRTUAL SPACE FOR RESEARCH

More information

Proceedings of the ASME 28th International Conference on Ocean, Offshore and Arctic Engineering OMAE2009 May 31 - June 5, 2009, Honolulu, Hawaii

Proceedings of the ASME 28th International Conference on Ocean, Offshore and Arctic Engineering OMAE2009 May 31 - June 5, 2009, Honolulu, Hawaii Proceedings of he ASME 28h Inernaional Conference on Ocean, Offshore and Arcic Engineering OMAE29 May 31 - June 5, 29, Honolulu, Hawaii OMAE29-79385 ANALYSIS OF THE TUNNEL IMMERSION FOR THE BUSAN-GEOJE

More information

Market Timing with GEYR in Emerging Stock Market: The Evidence from Stock Exchange of Thailand

Market Timing with GEYR in Emerging Stock Market: The Evidence from Stock Exchange of Thailand Journal of Finance and Invesmen Analysis, vol. 1, no. 4, 2012, 53-65 ISSN: 2241-0998 (prin version), 2241-0996(online) Scienpress Ld, 2012 Marke Timing wih GEYR in Emerging Sock Marke: The Evidence from

More information

Simulation based approach for measuring concentration risk

Simulation based approach for measuring concentration risk MPRA Munich Personal RePEc Archive Simulaion based approach for measuring concenraion risk Kim, Joocheol and Lee, Duyeol UNSPECIFIED February 27 Online a hp://mpra.ub.uni-muenchen.de/2968/ MPRA Paper No.

More information

Simulation Validation Methods

Simulation Validation Methods Simulaion Validaion Mehods J. PELLETTIERE* Federal Aviaion Adminisraion, Washingon DC Absrac Modeling and simulaion is increasingly being used o represen occupan behavior, boh of human subjecs and of Anhropomorphic

More information

COUPLING VOF/PLIC AND EMBEDDING METHOD FOR SIMULATING WAVE BREAKING ON A SLOPING BEACH

COUPLING VOF/PLIC AND EMBEDDING METHOD FOR SIMULATING WAVE BREAKING ON A SLOPING BEACH 498 Journal of Marine Science and Technology, Vol. 3, No. 4, pp. 498-57 (15) DOI: 1119/JMST44- COUPLING VOF/PLIC AND EMBEDDING METHOD FOR SIMULATING WAVE BREAKING ON A SLOPING BEACH Tai-Wen Hsu 1, 3, Chih-Min

More information

MOTIONS OF A SAILING YACHT IN LARGE WAVES: AN OPENING SIMPLE INSTATIONARY MODELLING APPROACH

MOTIONS OF A SAILING YACHT IN LARGE WAVES: AN OPENING SIMPLE INSTATIONARY MODELLING APPROACH h Inernaional Symposium on Yach Design and Yach Consrucion MOTIONS OF A SAILING YACHT IN LARGE WAVES: AN OPENING SIMPLE INSTATIONARY MODELLING APPROACH Fabio Fossai, Sara Muggiasca Absrac. Due o he increasing

More information

2017 MCM/ICM Merging Area Designing Model for A Highway Toll Plaza Summary Sheet

2017 MCM/ICM Merging Area Designing Model for A Highway Toll Plaza Summary Sheet Team#55307 Page 1 of 25 For office use only T1 T2 T3 T4 Team Conrol Number 55307 Problem Chosen B For office use only F1 F2 F3 F4 2017 MCM/ICM Merging Area Designing Model for A Highway Toll Plaza Summary

More information

Improving Measurement Uncertainty of Differential Pressures at High Line Pressures & the Potential Impact on the Global Economy & Environment.

Improving Measurement Uncertainty of Differential Pressures at High Line Pressures & the Potential Impact on the Global Economy & Environment. Improving Measuremen Uncerainy of Differenial Pressures a igh Line Pressures & he Poenial Impac on he Global Economy & Environmen. Speaker/uhor: Mike Collins Fluke Calibraion 5 urricane Way Norwich. NR6

More information

Application of System Dynamics in Car-following Models

Application of System Dynamics in Car-following Models Applicaion of Sysem Dynamics in Car-following Models Arif Mehmood, rank Saccomanno and Bruce Hellinga Deparmen of Civil Engineering, Universiy of Waerloo Waerloo, Onario, Canada N2 3G1 E-mail: saccoman@uwaerloo.ca

More information

2nd Regional Conference On Enhancing Transport Technology For Regional Competitiveness

2nd Regional Conference On Enhancing Transport Technology For Regional Competitiveness nd Regional Conference On Enhancing Transpor Technology For Regional Compeiiveness SESSION C TBLE OF CONTENTS PREFCE... 4 ORGNISING COITTEE... 5 KEYNOTE DDRESS... 6 Session : UTOOTIE... 7 Session B : ERONUTICS...

More information

Examining the limitations for visual anglecar following models

Examining the limitations for visual anglecar following models Examining he limiaions for visual anglecar following models Al Obaedi, JTS and Yousif, S Tile Auhors Type URL Published Dae 009 Examining he limiaions for visual angle car following models Al Obaedi, JTS

More information

A Probabilistic Approach to Worst Case Scenarios

A Probabilistic Approach to Worst Case Scenarios A Probabilisic Approach o Wors Case Scenarios A Probabilisic Approach o Wors Case Scenarios By Giovanni Barone-Adesi Universiy of Albera, Canada and Ciy Universiy Business School, London Frederick Bourgoin

More information

The APT with Lagged, Value-at-Risk and Asset Allocations by Using Econometric Approach

The APT with Lagged, Value-at-Risk and Asset Allocations by Using Econometric Approach Proceedings of he 16 Inernaional Conference on Indusrial Engineering and Operaions Managemen Deroi, USA, Sepember 3-5, 16 he AP wih Lagged, Value-a-Risk and Asse Allocaions by Using Economeric Approach

More information

INSTRUCTIONS FOR USE. This file can only be used to produce a handout master:

INSTRUCTIONS FOR USE. This file can only be used to produce a handout master: INSTRUCTIONS OR USE This file can only be used o produce a handou maser: Use Prin from he ile menu o make a prinou of he es. You may no modify he conens of his file. IMPORTNT NOTICE: You may prin his es

More information

Transit Priority Strategies for Multiple Routes Under Headway-Based Operations

Transit Priority Strategies for Multiple Routes Under Headway-Based Operations Transi Prioriy Sraegies for Muliple Roues Under Headway-Based Operaions Yongjie Lin, Xianfeng Yang, Gang-Len Chang, and Nan Zou This paper presens a ransi signal prioriy (TSP) model designed o consider

More information

KEY CONCEPTS AND PROCESS SKILLS. 1. An allele is one of the two or more forms of a gene present in a population. MATERIALS AND ADVANCE PREPARATION

KEY CONCEPTS AND PROCESS SKILLS. 1. An allele is one of the two or more forms of a gene present in a population. MATERIALS AND ADVANCE PREPARATION Gene Squares 61 40- o 2 3 50-minue sessions ACIVIY OVERVIEW P R O B L E M S O LV I N G SUMMARY Sudens use Punne squares o predic he approximae frequencies of rais among he offspring of specific crier crosses.

More information

ScienceDirect. Cycling Power Optimization System Using Link Models of Lower Limbs with Cleat-Shaped Biaxial Load Cells

ScienceDirect. Cycling Power Optimization System Using Link Models of Lower Limbs with Cleat-Shaped Biaxial Load Cells Available online a www.sciencedirec.com ScienceDirec Procedia Engineering 72 ( 20 ) 8 7 The 20 conference of he Inernaional Spors Engineering Associaion Cycling Power Opimizaion Sysem Using ink Models

More information

Evaluation of a car-following model using systems dynamics

Evaluation of a car-following model using systems dynamics Evaluaion of a car-following model using sysems dynamics Arif Mehmood, rank Saccomanno and Bruce Hellinga Deparmen of Civil Engineering, Universiy of Waerloo Waerloo, Onario, Canada N2 3G1 Tel: 519 888

More information

Corresponding Author

Corresponding Author Inernaional Journal of Scienific & Engineering Research Volume 9, Issue 4, April-2018 562 STRUCTURAL ANALYSIS OF NON-LINEAR PIPE BENDS 1 KALIKI HEMANTH, M.IMTHIYAS SHERIFF, KODAM VINEETH KUMAR, 2 M.ANANDRAJ,

More information

SURFACE PAVEMENT CHARACTERISTICS AND ACCIDENT RATE

SURFACE PAVEMENT CHARACTERISTICS AND ACCIDENT RATE The 10 h Inernaional Conference RELIABILITY and STATISTICS in TRANSPORTATION and COMMUNICATION -2010 Proceedings of he 10h Inernaional Conference Reliabiliy and Saisics in Transporaion and Communicaion

More information

Idiosyncratic Volatility, Stock Returns and Economy Conditions: The Role of Idiosyncratic Volatility in the Australian Stock Market

Idiosyncratic Volatility, Stock Returns and Economy Conditions: The Role of Idiosyncratic Volatility in the Australian Stock Market Idiosyncraic Volailiy, Sock Reurns and Economy Condiions: The Role of Idiosyncraic Volailiy in he Ausralian Sock Marke Bin Liu Amalia Di Iorio RMIT Universiy Melbourne Ausralia Absrac This sudy examines

More information

FORECASTING TECHNIQUES ADE 2013 Prof Antoni Espasa TOPIC 1 PART 2 TRENDS AND ACCUMULATION OF KNOWLEDGE. SEASONALITY HANDOUT

FORECASTING TECHNIQUES ADE 2013 Prof Antoni Espasa TOPIC 1 PART 2 TRENDS AND ACCUMULATION OF KNOWLEDGE. SEASONALITY HANDOUT FORECASTING TECHNIQUES ADE 2013 Prof Anoni Espasa TOPIC 1 PART 2 TRENDS AND ACCUMULATION OF KNOWLEDGE. SEASONALITY HANDOUT February 2013 MAIN FACTORS CAUSING TRENDS Increases in populaion. Seady inflaion.

More information

Revisiting the Growth of Hong Kong, Singapore, South Korea, and Taiwan, From the Perspective of a Neoclassical Model

Revisiting the Growth of Hong Kong, Singapore, South Korea, and Taiwan, From the Perspective of a Neoclassical Model Revisiing he Growh of Hong Kong, Singapore, Souh Korea, and Taiwan, 978-2006 From he Perspecive of a Neoclassical Model Shu-shiuan Lu * Naional Tsing Hua Univereseiy December, 2008 Absrac This paper sudies

More information

Stock Return Expectations in the Credit Market

Stock Return Expectations in the Credit Market Sock Reurn Expecaions in he Credi Marke Hans Bysröm * Sepember 016 In his paper we compue long-erm sock reurn expecaions (across he business cycle) for individual firms using informaion backed ou from

More information

3.00 m. 8. At La Ronde, the free-fall ride called the Orbit" causes a 60.0 kg person to accelerate at a rate of 9.81 m/s 2 down.

3.00 m. 8. At La Ronde, the free-fall ride called the Orbit causes a 60.0 kg person to accelerate at a rate of 9.81 m/s 2 down. Physics Prees: Torque 1. Newon s 2 nd Law 2. Kinemaics (Free fall, graphs, and combined wih F R = ma) Pracice Quesions/Problems 1. Wha is Newon s 2 nd Law? Name and explain i. 2. Prove ha acceleraion for

More information

PRESSURE SENSOR TECHNICAL GUIDE INTRODUCTION FEATURES OF ELECTRIC PRESSURE SENSOR. Photoelectric. Sensor. Proximity Sensor. Inductive. Sensor.

PRESSURE SENSOR TECHNICAL GUIDE INTRODUCTION FEATURES OF ELECTRIC PRESSURE SENSOR. Photoelectric. Sensor. Proximity Sensor. Inductive. Sensor. Proximiy INTRDUCTIN Pressur sensor The sensor convers of gases or liquid ino elecrical magniude wih he sensing elemen, and generaes he analog oupu proporional o applied level or he swiching oupu oggled

More information

Proportional Reasoning

Proportional Reasoning Proporional Reasoning Focus on Afer his lesson, you will be able o... solve problems using proporional reasoning use more han one mehod o solve proporional reasoning problems When you go snowboarding or

More information

Reliability Design Technology for Power Semiconductor Modules

Reliability Design Technology for Power Semiconductor Modules Reliabiliy Design Technology for Power Semiconducor Modules Akira Morozumi Kasumi Yamada Tadashi Miyasaka 1. Inroducion The marke for power semiconducor modules is spreading no only o general-purpose inverers,

More information

Lifecycle Funds. T. Rowe Price Target Retirement Fund. Lifecycle Asset Allocation

Lifecycle Funds. T. Rowe Price Target Retirement Fund. Lifecycle Asset Allocation Lifecycle Funds Towards a Dynamic Asse Allocaion Framework for Targe Reiremen Funds: Geing Rid of he Dogma in Lifecycle Invesing Anup K. Basu Queensland Universiy of Technology The findings of he Mercer

More information

Avoiding Component Failure in Industrial Refrigeration Systems

Avoiding Component Failure in Industrial Refrigeration Systems Avoiding Componen Failure in Indusrial Refrigeraion Sysems By Tim Kroeger, segmen markeing manager indusrial refrigeraion, Asia Pacific & India The aricle caegorises and gives examples of ypical componen

More information

Modeling Breaking Waves and Wave-induced Currents with Fully Nonlinear Boussinesq Equations

Modeling Breaking Waves and Wave-induced Currents with Fully Nonlinear Boussinesq Equations Modeling Breaking Waves and Wave-induced Currens wih Fully Nonlinear Boussinesq Equaions K.Z. FANG,2*, Z.B. LIU,2 he Sae Key Laboraory of Coasal and Offshore Engineering Dalian Universiy of Technology

More information

The Current Account as A Dynamic Portfolio Choice Problem

The Current Account as A Dynamic Portfolio Choice Problem Public Disclosure Auhorized Policy Research Working Paper 486 WPS486 Public Disclosure Auhorized Public Disclosure Auhorized The Curren Accoun as A Dynamic Porfolio Choice Problem Taiana Didier Alexandre

More information

San Francisco State University ECON 560 Fall Midterm Exam 2. Tuesday, October hour, 15 minutes

San Francisco State University ECON 560 Fall Midterm Exam 2. Tuesday, October hour, 15 minutes San Francisco Sae Universiy Micael Bar ECON 560 Fall 207 Miderm Exam 2 Tuesday, Ocober 3 our, 5 minues Name: Insrucions. Tis is closed book, closed noes exam. 2. No calculaors or elecronic devices of any

More information

Chapter / rev/min Ans. C / in. C mm Ans teeth Ans. C / mm Ans.

Chapter / rev/min Ans. C / in. C mm Ans teeth Ans. C / mm Ans. Chaper 13 13-1 dp 17 / 8 15 in N 110 dg dp 15 4375 in N3 544 NG PdG 84375 35 eeh C 15 4375 / 35 in Ans Ans ng 1600 15 / 60 400 rev/min Ans p m 3 mm Ans C 3 15 60 115 mm Ans 13-13-3 N G 16 4 64 eeh Ans

More information

Real-time Stochastic Evacuation Models for Decision Support in Actual Emergencies

Real-time Stochastic Evacuation Models for Decision Support in Actual Emergencies Real-ime Sochasic Evacuaion Models for Decision Suppor in Acual Emergencies ARTURO CUESTA, DANIEL ALVEAR, ORLANDO ABREU and DELFÍN SILIÓ Transpors and echnology projecs and processes Universiy of Canabria

More information

Homework 2. is unbiased if. Y is consistent if. c. in real life you typically get to sample many times.

Homework 2. is unbiased if. Y is consistent if. c. in real life you typically get to sample many times. Econ526 Mulile Choice. Homework 2 Choose he one ha bes comlees he saemen or answers he quesion. (1) An esimaor ˆ µ of he oulaion value µ is unbiased if a. ˆ µ = µ. b. has he smalles variance of all esimaors.

More information

8/31/11. the distance it travelled. The slope of the tangent to a curve in the position vs time graph for a particles motion gives:

8/31/11. the distance it travelled. The slope of the tangent to a curve in the position vs time graph for a particles motion gives: Physics 101 Tuesday Class 2 Chaper 2 Secions 2.1-2.4 Displacemen and disance Velociy and speed acceleraion Reading Quiz The slope of he angen o a curve in he posiion vs ime graph for a paricles moion gives:

More information

Evaluating Portfolio Policies: A Duality Approach

Evaluating Portfolio Policies: A Duality Approach OPERATIONS RESEARCH Vol. 54, No. 3, May June 26, pp. 45 418 issn 3-364X eissn 1526-5463 6 543 45 informs doi 1.1287/opre.16.279 26 INFORMS Evaluaing Porfolio Policies: A Dualiy Approach Marin B. Haugh

More information

Backscattered Acoustic Energy by Monobubbles Experimental Approach and Statistical Study of the Attenuation

Backscattered Acoustic Energy by Monobubbles Experimental Approach and Statistical Study of the Attenuation American J. of Engineering and Applied Sciences 2 (2): 399-406, 2009 ISSN 1941-7020 2009 Science Publicaions Backscaered Acousic Energy by Monobubbles Experimenal Approach and Saisical Sudy of he Aenuaion

More information

Automatic air-main charging and pressure control system for compressed air supplies

Automatic air-main charging and pressure control system for compressed air supplies Auomaic air-main charging and pressure conrol sysem for compressed air supplies Type PCS A module from he sysem -vacorol Swiching on-off a compressed air uni in a compressed air supply generally akes place

More information

CHARACTERIZATION AND MODELING OF A PROPORTIONAL VALVE FOR CONTROL SYNTHESIS

CHARACTERIZATION AND MODELING OF A PROPORTIONAL VALVE FOR CONTROL SYNTHESIS CHARACTERIZATION AND MODELING OF A PROPORTIONAL VALVE FOR CONTROL SYNTHESIS Osama. OLABY, Xavier. BRN, Sylvie. SESMAT, Tanneguy. REDARCE and Eric. BIDEAX Laboraoire d Auomaique Indusrielle - hp://www-lai.insa-lyon.fr

More information

QUANTITATIVE FINANCE RESEARCH CENTRE. Optimal Time Series Momentum QUANTITATIVE FINANCE RESEARCH CENTRE QUANTITATIVE F INANCE RESEARCH CENTRE

QUANTITATIVE FINANCE RESEARCH CENTRE. Optimal Time Series Momentum QUANTITATIVE FINANCE RESEARCH CENTRE QUANTITATIVE F INANCE RESEARCH CENTRE QUANTITATIVE FINANCE RESEARCH CENTRE QUANTITATIVE F INANCE RESEARCH CENTRE QUANTITATIVE FINANCE RESEARCH CENTRE Research Paper 353 January 15 Opimal Time Series Momenum Xue-Zhong He, Kai Li and Youwei

More information

LARGE-SCALE VORTICITY GENERATION DUE TO DISSIPATING WAVES IN THE SURF ZONE. Philippe Bonneton, Nicolas Bruneau and Bruno Castelle.

LARGE-SCALE VORTICITY GENERATION DUE TO DISSIPATING WAVES IN THE SURF ZONE. Philippe Bonneton, Nicolas Bruneau and Bruno Castelle. DISCRETE AND CONTINUOUS doi:10.3934/dcdsb.2010.13.729 DYNAMICAL SYSTEMS SERIES B Volume 13, Number 4, June 2010 pp. 729 738 LARGE-SCALE VORTICITY GENERATION DUE TO DISSIPATING WAVES IN THE SURF ZONE Philippe

More information

Semi-Fixed-Priority Scheduling: New Priority Assignment Policy for Practical Imprecise Computation

Semi-Fixed-Priority Scheduling: New Priority Assignment Policy for Practical Imprecise Computation Semi-Fixed-Prioriy Scheduling: New Prioriy Assignmen Policy for Pracical Imprecise Compuaion Hiroyuki Chishiro, Akira Takeda 2, Kenji Funaoka 2 and Nobuyuki Yamasaki School of Science for Open and Environmen

More information

CONTROL VALVES IN TURBO-COMPRESSOR ANTI-SURGE SYSTEMS

CONTROL VALVES IN TURBO-COMPRESSOR ANTI-SURGE SYSTEMS CONTROL VALVES IN TURBO-COMPRESSOR ANTI-SURGE SYSTEMS keninrol CONTROL VALVES IN TURBO-COMPRESSOR ANTI-SURGE SYSTEMS CONTROL VALVES IN TURBO-COMPRESSOR ANTI-SURGE SYSTEMS 0 KOSO KENT INTROL SUPPLIES A

More information

Constructing Absolute Return Funds with ETFs: A Dynamic Risk-Budgeting Approach. July 2008

Constructing Absolute Return Funds with ETFs: A Dynamic Risk-Budgeting Approach. July 2008 Consrucing Absolue Reurn Funds wih ETFs: A Dynamic Risk-Budgeing Approach July 2008 Noël Amenc Direcor, EDHEC Risk & Asse Managemen Research Cenre Professor of Finance, EDHEC Business School noel.amenc@edhec-risk.com

More information

Methods for Estimating Term Structure of Interest Rates

Methods for Estimating Term Structure of Interest Rates Mehods for Esimaing Term Srucure of Ineres Raes Iskander Karibzhanov Absrac This paper compares differen inerpolaion algorihms for consrucing yield curves: cubic splines, linear and quadraic programming,

More information

Zelio Control Measurement Relays RM4L Liquid Level Relays

Zelio Control Measurement Relays RM4L Liquid Level Relays Zelio Conrol Measuremen elays FNCTIONS These devices monior he levels of conducive liquids. They conrol he acuaion of pumps or valves o regulae levels; hey are also suiable for proecing submersible pumps

More information

Prepared by: Candice A. Churchwell, Senior Consultant Aimee C. Savage, Project Analyst. June 17, 2014 CALMAC ID SCE0350

Prepared by: Candice A. Churchwell, Senior Consultant Aimee C. Savage, Project Analyst. June 17, 2014 CALMAC ID SCE0350 Execuive Summary: 2014 2024 Demand Response Porfolio of Souhern California Edison Company Submied o Souhern California Edison Co. Submied by Nexan, Inc. June 17, 2014 CALMAC ID SCE0350 Prepared by: Candice

More information

296 Finance a úvěr-czech Journal of Economics and Finance, 64, 2014, no. 4

296 Finance a úvěr-czech Journal of Economics and Finance, 64, 2014, no. 4 JEL Classificaion: C32, F31, G11 Keywords: Emerging Easern Europe, sock and currency markes, porfolio, VaR Effeciveness of Porfolio Diversificaion and he Dynamic Relaionship beween Sock and Currency Markes

More information

EXAMINING THE FEASIBILITY OF PAIRED CLOSELY-SPACED PARALLEL APPROACHES

EXAMINING THE FEASIBILITY OF PAIRED CLOSELY-SPACED PARALLEL APPROACHES EXAMINING THE FEASIBILITY OF PAIRED CLOSELY-SPACED PARALLEL APPROACHES Seven J. Landry and Amy R. Priche Georgia Insiue of Technology Alana GA 30332-0205 ABSTRACT Paired closely-spaced parallel approaches

More information

HEIMDAL R - RN OFFSHORE CLASS

HEIMDAL R - RN OFFSHORE CLASS Heimdal R locaed a a pre-deermined posiion and mainaining a fixed posiion by means of Dynamic Posiioning (DP2) wih high accuracy during dredging aciviies. No anchors, no spuds. - RN OFFSHORE CLASS MPV

More information

SPECIAL WIRE ROPES The Value Line

SPECIAL WIRE ROPES The Value Line SPECIAL WIRE ROPES The Value Line INTRODUCTION Qualiy Producs, Ousanding Service and Comprehensive Technical Suppor I s wha oday s indusries expec from heir supplier parners. And ha s wha WireCo WorldGroup

More information

Development of Urban Public Transit Network Structure Integrating Multi-Class Public Transit Lines and Transfer Hubs

Development of Urban Public Transit Network Structure Integrating Multi-Class Public Transit Lines and Transfer Hubs Developmen of Urban Public Transi Nework Srucure Inegraing Muli-Class Public Transi Lines and Transfer Hubs Zhenbao Wang 1, Anyan Chen 2 1College of Civil Engineering, Hebei Universiy of Engineering Handan,

More information

Dual Boost High Performances Power Factor Correction (PFC)

Dual Boost High Performances Power Factor Correction (PFC) Dual Boos High Performances Power Facor Correcion (PFC) C. Aaianese, Senior Member, IEEE - V. Nardi, Member, IEEE - F. Parillo - G. Tomasso, Member, IEEE Deparmen of Auomaion, Elecromagneism, Compuer Science

More information

COMPARING SIMULATED ROAD SAFETY PERFORMANCE TO OBSERVED CRASH FREQUENCY AT SIGNALIZED INTERSECTIONS

COMPARING SIMULATED ROAD SAFETY PERFORMANCE TO OBSERVED CRASH FREQUENCY AT SIGNALIZED INTERSECTIONS COMPARING SIMULATED ROAD SAFETY PERFORMANCE TO OBSERVED CRASH FREQUENCY AT SIGNALIZED INTERSECTIONS Janailson Q. Souza Research Assisan, Deparmen of Transporaion Engineering, Universidade Federal do Ceará,

More information

What the Puck? an exploration of Two-Dimensional collisions

What the Puck? an exploration of Two-Dimensional collisions Wha he Puck? an exploraion of Two-Dimensional collisions 1) Have you ever played 8-Ball pool and los he game because you scrached while aemping o sink he 8-Ball in a corner pocke? Skech he sho below: Each

More information

MODEL SELECTION FOR VALUE-AT-RISK: UNIVARIATE AND MULTIVARIATE APPROACHES SANG JIN LEE

MODEL SELECTION FOR VALUE-AT-RISK: UNIVARIATE AND MULTIVARIATE APPROACHES SANG JIN LEE MODEL SELECTION FOR VALUE-AT-RISK: UNIVARIATE AND MULTIVARIATE APPROACHES By SANG JIN LEE Bachelor of Science in Mahemaics Yonsei Universiy Seoul, Republic of Korea 999 Maser of Business Adminisraion Yonsei

More information

Economics 487. Homework #4 Solution Key Portfolio Calculations and the Markowitz Algorithm

Economics 487. Homework #4 Solution Key Portfolio Calculations and the Markowitz Algorithm Economics 87 Homework # Soluion Key Porfolio Calculaions and he Markowiz Algorihm A. Excel Exercises: (10 poins) 1. Download he Excel file hw.xls from he class websie. This file conains monhly closing

More information

Hood River Tributaries Instream Flow Study

Hood River Tributaries Instream Flow Study Hood River Tribuaries Insream Flow Sudy Presened To: Hood River Couny 61 Sae Sree Hood River, OR 9731 Submied On: June 13, 214 Submied By: 89 L Sree Arcaa, CA 95521 www.normandeau.com Dra Hood River Tribuaries

More information

Measuring dynamics of risk and performance of sector indices on Zagreb Stock Exchange

Measuring dynamics of risk and performance of sector indices on Zagreb Stock Exchange Measuring dynamics of risk and performance of secor indices on Zagreb Sock Exchange Tihana Škrinjarić Faculy of Economics and Business, Universiy of Zagreb, Zagreb, Croaia skrinjaric@efzg.hr Absrac Invesors

More information

Bootstrapping Multilayer Neural Networks for Portfolio Construction

Bootstrapping Multilayer Neural Networks for Portfolio Construction Asia Pacific Managemen Review 17(2) (2012) 113-126 Boosrapping Mulilayer Neural Neworks for Porfolio Consrucion Chin-Sheng Huang a*, Zheng-Wei Lin b, Cheng-Wei Chen c www.apmr.managemen.ncku.edu.w a Deparmen

More information

Explore Graphs of Linear Relations. 1. a) Use a method of your choice to determine how much water will be needed each day of a seven-day cruise.

Explore Graphs of Linear Relations. 1. a) Use a method of your choice to determine how much water will be needed each day of a seven-day cruise. . Graphing Linear Relaions Focus on Aer his lesson, ou will be able o graph linear relaions mach equaions o linear relaions wih graphs solve problems b graphing a linear relaion and analsing he graph Tina

More information

Front-Crawl Instantaneous Velocity Estimation Using a Wearable Inertial Measurement Unit

Front-Crawl Instantaneous Velocity Estimation Using a Wearable Inertial Measurement Unit Sensors 2012, 12, 12927-12939; doi:10.3390/s121012927 Aricle OPEN ACCESS sensors ISSN 1424-8220 www.mdpi.com/journal/sensors Fron-Crawl Insananeous Velociy Esimaion Using a Wearable Inerial Measuremen

More information

Gas Source Localisation by Constructing Concentration Gridmaps with a Mobile Robot

Gas Source Localisation by Constructing Concentration Gridmaps with a Mobile Robot Gas Source Localisaion by Consrucing Concenraion Gridmaps wih a Mobile Robo Achim Lilienhal 1, Tom Ducke 2 1 W.-Schickard-Ins. of Comp. Science, Universiy of Tübingen, D-72076 Tübingen, Germany lilien@informaik.uni-uebingen.de

More information

The Great Recession in the U.K. Labour Market: A Transatlantic View

The Great Recession in the U.K. Labour Market: A Transatlantic View The Grea Recession in he U.K. Labour Marke: A Transalanic View Michael W. L. Elsby (Edinburgh, Michigan, NBER) Jennifer C. Smih (Warwick) Bank of England, 25 March 2011 U.K. and U.S. unemploymen U.K. unemploymen

More information

Centre for Investment Research Discussion Paper Series. Momentum Profits and Time-Varying Unsystematic Risk

Centre for Investment Research Discussion Paper Series. Momentum Profits and Time-Varying Unsystematic Risk Cenre for Invesmen Research Discussion Paper Series Discussion Paper # 08-0* Momenum Profis and Time-Varying Unsysemaic Risk Cenre for Invesmen Research O'Rahilly Building, Room 3.0 Universiy College Cork

More information

Overview. Do white-tailed tailed and mule deer compete? Ecological Definitions (Birch 1957): Mule and white-tailed tailed deer potentially compete.

Overview. Do white-tailed tailed and mule deer compete? Ecological Definitions (Birch 1957): Mule and white-tailed tailed deer potentially compete. COMPETITION BETWEEN MULE AND WHITE- TAILED DEER METAPOPULATIONS IN NORTH-CENTRAL WASHINGTON E. O. Garon, Kris Hennings : Fish and Wildlife Dep., Univ. of Idaho, Moscow, ID 83844 Maureen Murphy, and Seve

More information

Straight Leg ged Walking of a Biped Robot

Straight Leg ged Walking of a Biped Robot Sraigh Leg ged Walking of a Biped Robo Ryo Kurazume, Shunaro Tanaka, Masahiro Yamashia Tsuomu Hasegawa Kyushu Universiy 6-10-1, Hakozaki, Higashi-ku, Fukuoka, Japan Email: kurazume @ is.kyushu-u.ac.jp

More information

CHAPTER TEST REVIEW, LESSONS 4-1 TO 4-5

CHAPTER TEST REVIEW, LESSONS 4-1 TO 4-5 IB PHYSICS Name: DEVIL PHYSICS Perio: Dae: BADDEST CLASS ON CAMPUS CHAPTER TEST REVIEW, LESSONS 4- TO 4-5 S. Waer waves a he surface of a pon pass a floaing log of lengh L. The log is a res relaive o he

More information

Review of Economics & Finance Submitted on 27/03/2017 Article ID: Mackenzie D. Wood, and Jungho Baek

Review of Economics & Finance Submitted on 27/03/2017 Article ID: Mackenzie D. Wood, and Jungho Baek Review of Economics & Finance Submied on 27/03/2017 Aricle ID: 1923-7529-2017-04-63-09 Mackenzie D. Wood, and Jungho Baek Facors Affecing Alaska s Salmon Permi Values: Evidence from Brisol Bay Drif Gillne

More information

Instruction Manual. Rugged PCB type. 1 Terminal Block. 2 Function. 3 Series Operation and Parallel Operation. 4 Assembling and Installation Method

Instruction Manual. Rugged PCB type. 1 Terminal Block. 2 Function. 3 Series Operation and Parallel Operation. 4 Assembling and Installation Method Rugged PCB ype Insrucion Manual 1 Terminal Block Funcion.1...4.5.6.7 Inpu volage range Inrush curren limiing Overcurren proecion Overvolage proecion Oupu volage adjusmen range Isolaion Remoe ON/OFF E9

More information

A computational model to assess the impact of policy measures on traffic safety in Flanders: Theoretical concepts and application.

A computational model to assess the impact of policy measures on traffic safety in Flanders: Theoretical concepts and application. A compuaional model o assess he impac of policy measures on raffic safey in Flanders: Theoreical conceps and applicaion. RA-MOW-2009-006 B.B. Nambuusi, E. Hermans, T. Brijs Onderzoekslijn Beleidsorganisaie

More information

Time-Variation in Diversification Benefits of Commodity, REITs, and TIPS 1

Time-Variation in Diversification Benefits of Commodity, REITs, and TIPS 1 Time-Variaion in Diversificaion Benefis of Commodiy, REITs, and TIPS 1 Jing-zhi Huang 2 and Zhaodong Zhong 3 This Draf: July 11, 2006 Absrac Diversificaion benefis of hree ho asse classes, Commodiy, Real

More information

"Pecos Bill Rides a Tornado" Stages Written by: Striker

Pecos Bill Rides a Tornado Stages Written by: Striker "Pecos Bill Rides a Tornado" Sages Wrien by: Sriker Now everyone in he Wes knows ha Pecos Bill could ride anyhing. No bronco could hrow hi, no sir! Fac is, I only heard of Bill geing' hrowed once in his

More information

arxiv: v1 [physics.flu-dyn] 13 Oct 2016

arxiv: v1 [physics.flu-dyn] 13 Oct 2016 Synchronised Swimming of Two Fish arxiv:6.4248v [physics.flu-dyn] 3 Oc 26 Guido Novai, Siddharha Verma, Dmiry Alexeev, Diego Rossinelli, Wim M. van Rees,2 and Peros Koumousakos Compuaional Science and

More information

Type Control action Setpoint range Air Weight Volume flow % capacity I n /h kg. Pressure diff. 1) Pa

Type Control action Setpoint range Air Weight Volume flow % capacity I n /h kg. Pressure diff. 1) Pa 7.0/ RL 0 & 0: neumaic volume-flow conroller Used in conjuncion wih an orifice plae or a dnamic pressure sensor and a pneumaic damper drive for conrolling he air volume in air-condiioning ssems. For fixed,

More information