Energy Saving for Automatic Train Control in. Moving Block Signaling System
|
|
- Philomena Russell
- 6 years ago
- Views:
Transcription
1 Energy Savng for Automatc Tran Control n Movng Block Sgnalng Sytem Qng Gu, Xao-Yun Lu and Tao Tang Abtract Wth rapd development of the ralway traffc, the movng block gnalng ytem (MBS) method ha become more and more mportant for ncreang the track capacty by allowng tran to run n a horter tme-headway whle mantanng the requred afety margn. In th framework, the trackng target pont of the movng forward wth t leadng tran. Th paper focue on the energy avng trackng control of two ucceve tran n MBS. Nonlnear programmng method ued to optmze the energy avng peed trajectory of the. The real-tme locaton of the could be ntegrated nto the optmzaton proce. Due to mplcty, t can be ued for onlne mplementaton. Fnally, a moothng algorthm propoed to mprove the peed trajectory for rde comfort. The feablty and effectvene are verfed through mulaton. The reult how that the new method effcent on energy avng wth guaranteed rde comfort even when dturbance preent. Key word movng block, energy avng, ATP (Automatc Tran Protecton), ATO (Automatc Tran Operaton), trackng, tran peed trajectory, rde comfort, trajectory moothng W I. INTRODUCTION ITH afe, comfortable, punctual, and effcent feature, ma rapd trant ytem can brng tremendou convenence to daly lfe and an effectve oluton to modern traffc congeton problem. A ralway network could conume large amount of energy and contrbute gnfcantly n emon, to enure the punctualty and rde comfort of tran whle achevng energy-avng repreent an nteretng and challengng problem. In Fxed Block Sgnalng Sytem, Energy-avng on ralway ha been tuded for many year and got many effectve reult. The earlet and mot notceable work from the Schedulng Manucrpt receved Aprl 1, 11. Th work wa upported by the tate key laboratory of ral traffc control and afety (Bejng Jaotong Unverty) under the project RCSZZ1 and Natonal Natural Scence Foundaton of Chna No.3. Qng Gu wth tate key laboratory of ral traffc control and afety, Bejng Jaotong Unverty, Bejng,, Chna (phone:+5119; fax: ; e-mal: karengqq@ gmal.com). Xao-Yun Lu wth Calforna PATH, Inttute of tranportaton tude, Unverty of Calforna Berkeley. CA 9, USA (xylu@path.berkeley.edu). Tao Tang wth tate key laboratory of ral traffc control and afety, Bejng Jaotong Unverty, Bejng,, Chna (ttangr@bjtu.edu.cn). and Control Group (SCG) n North Autrala. Reearcher n SCG conducted theoretc reearch and project on tran energy-avng operaton. Mlroy, Lee and Tyler propoed energy-avng operaton model n [1]. They howed that the energy-avng control could be dvded n to four phae: tracton, peed holdng, coatng and brakng a llutrated n Fg. 1. Baed on that, many people nvetgated energy avng tratege, e.g. Chang and Wong appled dfferent algorthm to fnd coatng pont before the tran departure n fxed runnng dtance [, 3]. Snce MBS ha more mplementaton n modern day, reearch on drvng tratege n MBS wll be the trend n the future []. However, there ha not been much reearch n tran trackng control trategy n Movng Block Sgnalng (MBS). MBS wa propoed n [5] to reduce headway among ucceve tran. In MBS, two ucceve tran are eparated by a afety margn (a pre-determned dtance) and the requred brakng dtance of the. Durng the runnng proce, Automatc Tran Protecton (ATP) ytem calculate the brakng curve of the to guarantee the afety. At the ame tme, the follower could obtan the poton and peed of the leader. Therefore the peed trajectory of the follower could be optmzed wth repect to ome objectve functon. Fg.1. Speed curve of a typcal nter-taton run Th paper degn a new energy avng drvng tratege for tran trackng control. It could be mplemented by Automatc Tran Operaton (ATO) ytem or a the reference peed for drvng atance. A trajectory moothng algorthm propoed to mprove the rde comfort. The mulaton reult how that, compared wth the tradtonal approache, the new method gnfcantly more effcent on energy-avng wthout acrfcng the operaton tme when the runnng wthout nterference or only acrfcng lttle (due to moothng) operaton tme when the ha nterference.
2 Nomenclature: The followng notaton are ued throughout of the paper. t the tme parameter; S the poton of the head; leadng Sfollowng the poton of the head; Lz the ntantaneou dtance of two ucceve tran; Lt the length of the tran; Lafe the length of the afety margn; V followng (t) the ntantaneou peed of the ; a,b are ervce acceleraton and deceleraton of the tran; b the deceleraton n approxmate coatng phae; a 1, a, a 3 are retance coeffcent; before the departure 1 from the detnaton; p after the departure from the detnaton taton and the the wa delayed; S the poton of the detnaton taton; Ttackng the departure tme nterval; Tbp the tme whch the already ued; Ttackng the departure tme nterval of two ucceve tran; II. TRACKING INTERVAL MODEL IN MBS Under MBS, the trackng target pont of the move forward contnuouly a the travel. The ntantaneou dtance Lz of two ucceve tran expreed a: Lz Sleadng S followng (1) The dtance between two ucceve tran mut be larger than the afety margn at any moment even f the come to a udden halt, o we have Vfollowng Lz() t Lafe Lt, () b Baed on equaton (1) and equaton (), the relaton between the and hould atfy: Vfollowng Sleadng Lafe Lt Sfollowng, (3) b whch mple that the ntantaneou peed and poton of the hould atfy V b ( S S L L), () followng leadng followng afe t Vfollowng S followng Sleadng Lafe Lt. (5) b III. ANALYSIS AND MODELING OF NEW ENERGY SAVING TRACKING STRATEGY In MBS, the could get the peed and poton. Two problem hould be condered n peed trajectory degn for energy optmzaton. The frt how to modfy the runnng trategy for the real cenaro becaue, n ome crcumtance, t unneceary to go through all the four phae lted above. The econd how to etablh a mple model for eay onlne mplementaton. For the frt problem, the energy avng trategy could be acheved by arrangng the equence of the phae approprately. It known that ome runnng phae may not happen n ome crcumtance. On the other hand, f the ha a long top, the hould top to wat untl the leadng tran tart. To enure the new model to ft all runnng cenaro, the new trategy hould reflect all the cae. Snce the leadng tran poton wll be nvolved n the optmzaton of the peed trajectory, we can buld two model baed on dfferent phae of the (runnng or topped). For the econd problem, a quadratc programmng method ued to obtan the optmal peed trajectory due to the avalablty of everal effcent numercal method. Snce the coatng phae ha a varable deceleraton, t hard to repreent the runnng dtance wth repect to the deceleraton (control varable) and peed (tate varable). In order to mplfy the model, we replace the coatng phae wth a lowdown phae and call t the approxmate coatng phae n th paper. For energy avng, the deceleraton hould cloe to but not le than the mean deceleraton of the coatng phae, becaue the extra deceleraton would lead to gnfcant frcton force whch caue tear and wear to the brakng ytem. On the other hand, f the deceleraton too mall, the tracton ytem need to provde more tracton force to upport the tran, whch wll conume more energy. It therefore neceary to chooe an approprate value for a better trade-off. After analyzng the practcal data of coatng phae from Dalan Fat Track [], t can be oberved that the peed n coatng phae declne very lowly. Therefore, the peed-tme profle cloe to a traght lne and the lope of the lne the deceleraton n the coatng phae. We have ued the Leat-Square procedure to ft the peed-tme curve wth the reult hown n Table 1. From Table 1, t clear that the hgher the coatng tartng peed, the greater the deceleraton. In order to upply a mall tracton force to keep the tran movng n a contant deceleraton, -.1 m/ eem approprate. TABLE I MEASURED VALUE OF COASTING DATA Speed range (km/h) Slop (m/) Average Error (m) For the two ucceve tran runnng on the track, aumng
3 two tuaton of the leader (runnng and topped), we degn correpondng drvng tratege for the. A. Problem Formulaton for Movng Leader Tran When the runnng, the new operaton trategy conted of four runnng phae: tracton, peed holdng, approxmate coatng and brakng. The ntal peed of each runnng phae v, (=1,, 3, ).The runnng dtance and tme of each phae are S, T, (=1,, 3, ) repectvely. It ealy known that v =v 3. In th paper, we ue knetc energy to meaure the energy conumpton of tran. The knetc energy dfference between v 1 and v, a well a T hould be mnmzed becaue the tracton and peed holdng phae are hghly energy conumng. Snce the approxmate coatng phae relatvely low energy conumng, t hoped that T3 can be longer ntead of T, whch could reduce the tme perod for tracton and peed holdng phae. where: penalty factor, ; v the tartng velocte of each runnng phae, Z, =1,,3,; The decon parameter here are v, v, T. B. Problem Formulaton for Stopped Leader Tran When the leader tran top, the dtance between t and the gettng horter and horter. However, the trackng tme between them unchanged. Therefore, the doe not need tracton phae any more. At the ame tme, f the ha a long top, the followng tran may need top to wat untl the re-tartng. Therefore, we remove the tracton phae from the trategy n the lat cae and add toppng phae to t a hown n Fg. 3. v v 1 v 3 v 1 v v 3 S S 1 S S3 F Fg.. Operaton trategy when the runnng There are two tuaton for tme and dtance contrant. Before the re-tart from the taton, the tme contrant Ttackng. And the dtance contrant the current dtance between thee two ucceve tran mnu the dtance of afety margn (Lafe). However, after the clear the taton, the dtance contrant the current dtance between the and the taton. Therefore, the tme contrant hould be changed accordngly. The tme contrant depend whether the delayed. If t not delayed, the tme contrant change to Ttackng- Tbp, where Tbp the runnng tme of the at trategy update. On the contrary, f t delayed, more paenger may wat at the taton. Therefore, there no need to apply the new trategy to the nce t ha to arrve at the detnaton a oon a poble. Baed on the analy above, the model a follow: 1 mn f m( v v1 ) ( T T3) () t.. v1 v v 3 v T Z, 1,, v v1 v3 v v (7) T T Ttrackng ptbp 1 a b' b v v1 v3 v v S T v ps ( L Lafe Lt) (1 ps ) SF a b' 1 v S Lafe Lt S L S F S 1 S S 3 Lafe Fg.3. Operaton trategy when the top The trackng nterval between two ucceve tran dvded nto phae: peed holdng, approxmate coatng, brakng and watng. The runnng tme and dtance of each phae are T and S, (=1,,), repectvely. The ntal peed of each runnng phae v, (=1,, 3, ). It known that v 1 =v. The tme and dtance contrant are the ame a thoe n (7). The new drvng trategy formulated a follow: mn f ( av 1 1 av 1 a3) S1 ( T1 T) () t.. v1 v v3 T Z, 1,, (9) v v3 v3 T T1 T Ttrackng ptbp 1 b' b 3 v v3 v3 S T1 v1 ps ( L Lafe Lt) (1 ps ) SF 1 b' b where: v the tartng velocte of each runnng phae, Z, =1,, 3; The decon parameter here are v 3, T 1. IV. SIMULATION AND DISCUSSION In th ecton, a mulaton ued to tet and verfy the new trategy. We ue the actual data to do the mulaton. The two ucceve taton are Tongj South Road Staton and Jangha Staton n Ma Trant Bejng Y Zhuang Lne. The dtance between them 55m. The length of tran (L t ) m, afety Lt S L
4 margn(l afe ) 5m, ervce trackng headway ( T trackng ), dwell tme (T dwell ), runnng tme n tme table 177, target peed (v 1 ) 1 m/, ervce acceleraton rate(a) 1m/, and ervce barkng deceleraton rate(b) 1 m/ wth b=-.1 m/. The mulaton update rate 1. We ue nteror-pont method to olve the model n Matlab. By applyng the tradtonal trategy, the peed curve hown n Fg. and Fg From Fg., t can be oberved that the ha no coatng phae. Th becaue when the top, the n the peed holdng phae and even after the re-tartng, t tll n the ame phae. However, nce the delayed, more paenger may wat at the taton, whch requre that the arrve at the taton a oon a poble. Therefore, the coatng phae replaced by peed holdng phae. The runnng tme of the 175, earler than what wa cheduled. The total energy conumpton 15.9 kwh dance m Fg.. Ordnary operaton trajectory n the nner taton (v-) dtance m Fg.. Followng tran trajectory when the ha a hort top under tradtonal trategy (v-) tme Fg.5. Ordnary operaton trajectory n the nner taton (v-t) Under the normal crcumtance, ucceve tran depart every followng the peed trajectory hown n Fg and Fg 5. Wth tradtonal control trategy, no matter how the behave, the peed follow the curve hown n Fg. and Fg. 5 untl the contrant () volated. In uch a cae, the wll brake to top. In other word, wth th trategy, f the top due to ome nterrupton, the may tll accelerate or keep at a contant peed followed by breakng f the () atfed. Th caue the wate of energy. In the new trategy, the peed curve calculated onlne takng nto account the poton. Therefore, f the peed curve doe not match wth thoe depcted n Fg. and Fg 5, the wll avod unneceary tracton to reduce energy conumpton. Two mulaton cenaro have been preented below to how the effectvene on energy avng of the by applyng the new trategy even when the run abnormally. In the followng fgure, the red dotted lne the runnng trajectory of the and the blue old lne the trajectory of the. A. Leadng Tran wth Short Stop at Inner Staton When the ha a hort top at the poton of 19 meter for 35 econd, Fg. and Fg. 7 how the peed curve created by tradtonal control trategy tme Fg.7. Followng tran trajectory when the ha a hort top under tradtonal trategy (v-t) Fg. and Fg. 9 how the peed curve created wth the new trategy wth update rate 1. When the top, the acknowledged mmedately, whch ncorporated n peed curve degn of the next tep. It can be oberved that the tran only coat at begnnng. After the re-tart, the accelerate mmedately. After the top at the detnaton, the reduce to a lower peed and keep t untl the clear the detnaton. The total run tme of 15 whch later than cheduled. The total energy conumpton reduced to. kwh. Compared wth the tradtonal trategy, energy conumpton reduced to 1.% of the orgnal wth 5% tme delay, whch worthwhle dtance m Fg.. Followng tran trajectory when the ha a hort top
5 under new trategy (v-) tme Fg.9. Followng tran trajectory when the ha a hort top under new trategy (v-t) B. Leadng Tran wth Long Stop at Inner Staton When the ha a long tme top at the poton of 19 meter for econd, Fg. and Fg. 11 how the peed curve created by tradtonal trategy. addton, the peed holdng phae (wth energy conumpton) n the front part replaced by an approxmate catng phae (lower energy conumpton) becaue the long top. Both mply energy avng. The runnng tme of the 9 veru 3. wth tradtonal trategy. However, the total energy conumpton reduced to. kwh. Compared wth the tradtonal trategy, energy conumpton reduced to.5% of the orgnal wth 11.% tme delay. Table how the comparon between the tradtonal and new tratege n dfferent cenaro dtance m Fg.1. Followng tran trajectory when the ha a long top under new trategy (v-) dtance m Fg.. Followng tran trajectory when the ha a long top wth tradtonal control trategy (v-) tme Fg.11. Followng tran trajectory when the ha a long top under tradtonal trategy (v-t) It noted that the top at 15 m for 35 econd, due to the long tme top. Moreover, nce the wa delayed. What can be acheved for the two tran run under the contrant o arrve at the next taton a oon a poble. Snce the accelerate mmedately after the re-tart, the tll ha a toppng phae, followed by acceleraton and then deceleraton before t arrve at the taton becaue of the dwell tme of the at the taton. The total runnng tme of the 5. wth energy conumpton 115.1kwh. Fgure 1 and 13 how the peed curve generated wth the new trategy. It can be oberved that there only one toppng phae for the ntead of two (v. Fg. and Fg. 11). Therefore, one acceleraton phae ha been avoded. In tme Fg.13. Followng tran trajectory when the ha a long top under new trategy (v-t) TABLE II COMPARISON BETWEEN THE TRADITIONAL AND NEW STRATEGIES Short tme top Long tme top ordnary new ordnary new Energy Conumpton (kwh) Runnng Tme () V. FURTHER IMPROVEMENT FOR RIDE COMFORT Baed on the dcuon above, t known that the new trategy rather effectve on energy avng. However, the rde comfort may be deterorated due to non-mooth phae change. To mprove th, a mooth algorthm propoed below. In calculatng the onlne peed curve a above, we know the trend of the curve on both de of the phae changng pont. Therefore, ome moothng technque can apply around the phae changng pont for mooth tranton. Smooth tranton for peed trajectory degn wth pecewe nuodal functon were propoed n [7, ]. However, nce the tranton tme and dtance are too hort and fxed n tran control ytem, n th
6 paper, we propoe a technque for properly electng the parameter of the quadratc functon to acheve mooth tranton. v t t T v t T T Fg. 1. Smoothng tranton In Fgure 1, the red lne how the mooth tranton between two dfferent phae. We degn the followng moothng equaton: v () ( ) ub t A t B C (9) and the dervatve functon v a A( t B) () ub ub To enure the mooth tranton at both de, the followng boundary condton are mpoed: v ub (t )=v(t ), v ub (t e )=v(t e ) (11) a ub (t )=a(t ), a ub (t e )=a(t e ) (1) where: v ub (t) the peed n mooth curve of the tranton at tme t; v(t) the peed n the un-moothed trategy at tme t; t the tartng tme of the tranton; t the endng tme of the tranton. e A, B, C are parameter to be determned wth the boundary condton; a () ub t the acceleraton n mooth curve of the tranton at tme t, aub v ub ; at () the acceleraton n the un-moothed peed curve at tme t. After applyng the moothng technque to the peed curve n n Fg. 1 and Fg. 13, the reult are hown n Fg. 15 and Fg. 1. It can be oberved that the mooth caue a lttle delay. Th becaue the acceleraton durng the tranton maller than the one ued before. Therefore, the runnng dtance n the ame tme perod horter. Th mean that the ha to take longer tme to reach the next taton. The total runnng tme become 3 and energy conumpton. kwh wth gnfcant rde comfort mprovement. VI. CONCLUSION Th paper dcue energy avng trackng control for ucceve tran n Movng Block Sgnallng ytem (MBS). A new trategy propoed for peed trajectory degn and moothng technque ued to mprove the rde comfort. Snce the model mple to olve, the new trategy could be v e t e t mplemented onlne for Automatc Tran Operaton ytem (ATO). Smulaton how the feablty and effectvene of the new trategy on energy avng. Compared wth tradtonal trategy, the new trategy ha the ame effect on energy avng when the ha no nterrupton. More mportantly, the new trategy can gnfcantly reduce energy conumpton wth the cot a lttle bt tme delay when the ha a runnng nterrupton. At the ame tme, rde comfort can be guaranteed wth a lttle bt more cot on run-tme and energy conumpton a expected dtance m Fg.15. Smoothed trajectory when the ha a long top under new trategy (v-) tme Fg.1. Smoothed trajectory when the ha a long top under new trategy (v-t) REFERENCES [1] G. H. Lee, I. P. Mlroy, A. Tyler "Applcaton of Pontryagn maxmum prncple to the em-automatc control of ral vehcle. Proceedng of Second Conference on Control Engneerng, Newcatle, 19. [] K. K. Wong and T. K. Ho, Dynamc coat control of tran movement wth genetc algorthm, Internatonal Journal of Sytem Scence,, 35(13-1): 35-. [3] C. S. Chang, and SIM, S. S., Optmzng tran movement through coat control ung Genetc Algorthm, IEE Proceedng-Electrcal Power Applcaton, 1997, 1(): [] Pearon, L.V., "Movng Block Ralway Sgnallng," PhD the, Loughborough Unverty of Technology, UK [5] Q. Gu, T. Tang, Y. D. Song, A urvey on energy-avng operaton of ralway tranportaton ytem. Journal of Meaurement and Control,, Vol.3, No.7, pp [] Z. Y. Yu, "Tran Operaton Expermental Report n Dalan Fat Track," techncal report, Bejng Jaotong Unverty. [7] X. Y.Lu, S. Shaldover, J. Hedrck, longtudnal tranton control for heavy-duty truck : between manual and automatc, Proc. 15th ITS World Congre, November 1-,, New York [] X. Y.Lu, S. Shaldover, J. Hedrck, Longtudnal tranton control for automated vehcle: between manual and automatc, ubmtted for publcaton
Start Point and Trajectory Analysis for the Minimal Time System Design Algorithm
Start Pont and Trajectory Analy for the Mnmal Tme Sytem Degn Algorthm ALEXANDER ZEMLIAK, PEDRO MIRANDA Department of Phyc and Mathematc Puebla Autonomou Unverty Av San Claudo /n, Puebla, 757 MEXICO Abtract:
More informationImprovements on Waring s Problem
Improvement on Warng Problem L An-Png Bejng, PR Chna apl@nacom Abtract By a new recurve algorthm for the auxlary equaton, n th paper, we wll gve ome mprovement for Warng problem Keyword: Warng Problem,
More informationSolution Methods for Time-indexed MIP Models for Chemical Production Scheduling
Ian Davd Lockhart Bogle and Mchael Farweather (Edtor), Proceedng of the 22nd European Sympoum on Computer Aded Proce Engneerng, 17-2 June 212, London. 212 Elever B.V. All rght reerved. Soluton Method for
More informationMODELLING OF STOCHASTIC PARAMETERS FOR CONTROL OF CITY ELECTRIC TRANSPORT SYSTEMS USING EVOLUTIONARY ALGORITHM
MODELLING OF STOCHASTIC PARAMETERS FOR CONTROL OF CITY ELECTRIC TRANSPORT SYSTEMS USING EVOLUTIONARY ALGORITHM Mkhal Gorobetz, Anatoly Levchenkov Inttute of Indutral Electronc and Electrotechnc, Rga Techncal
More informationAdditional File 1 - Detailed explanation of the expression level CPD
Addtonal Fle - Detaled explanaton of the expreon level CPD A mentoned n the man text, the man CPD for the uterng model cont of two ndvdual factor: P( level gen P( level gen P ( level gen 2 (.).. CPD factor
More informationMethod Of Fundamental Solutions For Modeling Electromagnetic Wave Scattering Problems
Internatonal Workhop on MehFree Method 003 1 Method Of Fundamental Soluton For Modelng lectromagnetc Wave Scatterng Problem Der-Lang Young (1) and Jhh-We Ruan (1) Abtract: In th paper we attempt to contruct
More informationSpecification -- Assumptions of the Simple Classical Linear Regression Model (CLRM) 1. Introduction
ECONOMICS 35* -- NOTE ECON 35* -- NOTE Specfcaton -- Aumpton of the Smple Clacal Lnear Regreon Model (CLRM). Introducton CLRM tand for the Clacal Lnear Regreon Model. The CLRM alo known a the tandard lnear
More informationChapter 11. Supplemental Text Material. The method of steepest ascent can be derived as follows. Suppose that we have fit a firstorder
S-. The Method of Steepet cent Chapter. Supplemental Text Materal The method of teepet acent can be derved a follow. Suppoe that we have ft a frtorder model y = β + β x and we wh to ue th model to determne
More informationSmall signal analysis
Small gnal analy. ntroducton Let u conder the crcut hown n Fg., where the nonlnear retor decrbed by the equaton g v havng graphcal repreentaton hown n Fg.. ( G (t G v(t v Fg. Fg. a D current ource wherea
More informationHarmonic oscillator approximation
armonc ocllator approxmaton armonc ocllator approxmaton Euaton to be olved We are fndng a mnmum of the functon under the retrcton where W P, P,..., P, Q, Q,..., Q P, P,..., P, Q, Q,..., Q lnwgner functon
More informationOn the SO 2 Problem in Thermal Power Plants. 2.Two-steps chemical absorption modeling
Internatonal Journal of Engneerng Reearch ISSN:39-689)(onlne),347-53(prnt) Volume No4, Iue No, pp : 557-56 Oct 5 On the SO Problem n Thermal Power Plant Two-tep chemcal aborpton modelng hr Boyadjev, P
More informationChapter 6 The Effect of the GPS Systematic Errors on Deformation Parameters
Chapter 6 The Effect of the GPS Sytematc Error on Deformaton Parameter 6.. General Beutler et al., (988) dd the frt comprehenve tudy on the GPS ytematc error. Baed on a geometrc approach and aumng a unform
More informationRoot Locus Techniques
Root Locu Technque ELEC 32 Cloed-Loop Control The control nput u t ynthezed baed on the a pror knowledge of the ytem plant, the reference nput r t, and the error gnal, e t The control ytem meaure the output,
More informationTwo Approaches to Proving. Goldbach s Conjecture
Two Approache to Provng Goldbach Conecture By Bernard Farley Adved By Charle Parry May 3 rd 5 A Bref Introducton to Goldbach Conecture In 74 Goldbach made h mot famou contrbuton n mathematc wth the conecture
More informationResonant FCS Predictive Control of Power Converter in Stationary Reference Frame
Preprnt of the 9th World Congre The Internatonal Federaton of Automatc Control Cape Town, South Afrca. Augut -9, Reonant FCS Predctve Control of Power Converter n Statonary Reference Frame Lupng Wang K
More informationPortioned Static-Priority Scheduling on Multiprocessors
Portoned Statc-Prorty Schedulng on Multproceor Shnpe Kato and Nobuyuk Yamaak School of Scence for Open and Envronmental Sytem Keo Unverty, Japan {hnpe,yamaak}@ny.c.keo.ac.jp Abtract Th paper propoe an
More information728. Mechanical and electrical elements in reduction of vibrations
78. Mechancal and electrcal element n reducton of vbraton Katarzyna BIAŁAS The Slean Unverty of Technology, Faculty of Mechancal Engneerng Inttute of Engneerng Procee Automaton and Integrated Manufacturng
More informationTeam. Outline. Statistics and Art: Sampling, Response Error, Mixed Models, Missing Data, and Inference
Team Stattc and Art: Samplng, Repone Error, Mxed Model, Mng Data, and nference Ed Stanek Unverty of Maachuett- Amhert, USA 9/5/8 9/5/8 Outlne. Example: Doe-repone Model n Toxcology. ow to Predct Realzed
More informationMULTIPLE REGRESSION ANALYSIS For the Case of Two Regressors
MULTIPLE REGRESSION ANALYSIS For the Cae of Two Regreor In the followng note, leat-quare etmaton developed for multple regreon problem wth two eplanator varable, here called regreor (uch a n the Fat Food
More informationDistributed Control for the Parallel DC Linked Modular Shunt Active Power Filters under Distorted Utility Voltage Condition
Dtrbted Control for the Parallel DC Lnked Modlar Shnt Actve Power Flter nder Dtorted Utlty Voltage Condton Reearch Stdent: Adl Salman Spervor: Dr. Malabka Ba School of Electrcal and Electronc Engneerng
More informationImprovements on Waring s Problem
Imrovement on Warng Problem L An-Png Bejng 85, PR Chna al@nacom Abtract By a new recurve algorthm for the auxlary equaton, n th aer, we wll gve ome mrovement for Warng roblem Keyword: Warng Problem, Hardy-Lttlewood
More informationKEY POINTS FOR NUMERICAL SIMULATION OF INCLINATION OF BUILDINGS ON LIQUEFIABLE SOIL LAYERS
KY POINTS FOR NUMRICAL SIMULATION OF INCLINATION OF BUILDINGS ON LIQUFIABL SOIL LAYRS Jn Xu 1, Xaomng Yuan, Jany Zhang 3,Fanchao Meng 1 1 Student, Dept. of Geotechncal ngneerng, Inttute of ngneerng Mechanc,
More informationCHAPTER 9 LINEAR MOMENTUM, IMPULSE AND COLLISIONS
CHAPTER 9 LINEAR MOMENTUM, IMPULSE AND COLLISIONS 103 Phy 1 9.1 Lnear Momentum The prncple o energy conervaton can be ued to olve problem that are harder to olve jut ung Newton law. It ued to decrbe moton
More informationJoint Source Coding and Higher-Dimension Modulation
Jont Codng and Hgher-Dmenon Modulaton Tze C. Wong and Huck M. Kwon Electrcal Engneerng and Computer Scence Wchta State Unvert, Wchta, Kana 676, USA {tcwong; huck.kwon}@wchta.edu Abtract Th paper propoe
More informationThe Study of Teaching-learning-based Optimization Algorithm
Advanced Scence and Technology Letters Vol. (AST 06), pp.05- http://dx.do.org/0.57/astl.06. The Study of Teachng-learnng-based Optmzaton Algorthm u Sun, Yan fu, Lele Kong, Haolang Q,, Helongang Insttute
More informationVerification of Selected Precision Parameters of the Trimble S8 DR Plus Robotic Total Station
81 Verfcaton of Selected Precon Parameter of the Trmble S8 DR Plu Robotc Total Staton Sokol, Š., Bajtala, M. and Ježko, J. Slovak Unverty of Technology, Faculty of Cvl Engneerng, Radlnkého 11, 81368 Bratlava,
More informationModule 5. Cables and Arches. Version 2 CE IIT, Kharagpur
odule 5 Cable and Arche Veron CE IIT, Kharagpur Leon 33 Two-nged Arch Veron CE IIT, Kharagpur Intructonal Objectve: After readng th chapter the tudent wll be able to 1. Compute horzontal reacton n two-hnged
More informationLecture 10 Support Vector Machines II
Lecture 10 Support Vector Machnes II 22 February 2016 Taylor B. Arnold Yale Statstcs STAT 365/665 1/28 Notes: Problem 3 s posted and due ths upcomng Frday There was an early bug n the fake-test data; fxed
More informationCalculating Jacobian coefficients of primitive constraints with respect to Euler parameters
Calculatng Jacoban coeffcent of prmtve contrant wth repect to Euler parameter Yong Lu, Ha-Chuan Song, Jun-Ha Yong To cte th veron: Yong Lu, Ha-Chuan Song, Jun-Ha Yong. Calculatng Jacoban coeffcent of prmtve
More informationA Reference Point-based Precise Relative Positioning Method Using a Single Frequency Receiver
A eference Pont-baed Prece elatve Potonng Method Ung a Sngle Frequency ecever Euho Km, odd Walter, J. Davd Powell, Stanford Unverty BIOGAPHY Euho Km a Ph.D. canddate n the Aeronautc and Atronautc Department
More information1 cos. where v v sin. Range Equations: for an object that lands at the same height at which it starts. v sin 2 i. t g. and. sin g
SPH3UW Unt.5 Projectle Moton Pae 1 of 10 Note Phc Inventor Parabolc Moton curved oton n the hape of a parabola. In the drecton, the equaton of oton ha a t ter Projectle Moton the parabolc oton of an object,
More informationPhysics 120. Exam #1. April 15, 2011
Phyc 120 Exam #1 Aprl 15, 2011 Name Multple Choce /16 Problem #1 /28 Problem #2 /28 Problem #3 /28 Total /100 PartI:Multple Choce:Crclethebetanwertoeachqueton.Anyothermark wllnotbegvencredt.eachmultple
More informationENTROPY BOUNDS USING ARITHMETIC- GEOMETRIC-HARMONIC MEAN INEQUALITY. Guru Nanak Dev University Amritsar, , INDIA
Internatonal Journal of Pure and Appled Mathematc Volume 89 No. 5 2013, 719-730 ISSN: 1311-8080 prnted veron; ISSN: 1314-3395 on-lne veron url: http://.jpam.eu do: http://dx.do.org/10.12732/jpam.v895.8
More informationThis appendix presents the derivations and proofs omitted from the main text.
Onlne Appendx A Appendx: Omtted Dervaton and Proof Th appendx preent the dervaton and proof omtted from the man text A Omtted dervaton n Secton Mot of the analy provded n the man text Here, we formally
More informationAPPROXIMATE FUZZY REASONING BASED ON INTERPOLATION IN THE VAGUE ENVIRONMENT OF THE FUZZY RULEBASE AS A PRACTICAL ALTERNATIVE OF THE CLASSICAL CRI
Kovác, Sz., Kóczy, L.T.: Approxmate Fuzzy Reaonng Baed on Interpolaton n the Vague Envronment of the Fuzzy Rulebae a a Practcal Alternatve of the Clacal CRI, Proceedng of the 7 th Internatonal Fuzzy Sytem
More informationChapter Newton s Method
Chapter 9. Newton s Method After readng ths chapter, you should be able to:. Understand how Newton s method s dfferent from the Golden Secton Search method. Understand how Newton s method works 3. Solve
More informationIntroduction to Interfacial Segregation. Xiaozhe Zhang 10/02/2015
Introducton to Interfacal Segregaton Xaozhe Zhang 10/02/2015 Interfacal egregaton Segregaton n materal refer to the enrchment of a materal conttuent at a free urface or an nternal nterface of a materal.
More informationAP Statistics Ch 3 Examining Relationships
Introducton To tud relatonhp between varable, we mut meaure the varable on the ame group of ndvdual. If we thnk a varable ma eplan or even caue change n another varable, then the eplanator varable and
More informationm = 4 n = 9 W 1 N 1 x 1 R D 4 s x i
GREEDY WIRE-SIZING IS LINEAR TIME Chr C. N. Chu D. F. Wong cnchu@c.utexa.edu wong@c.utexa.edu Department of Computer Scence, Unverty of Texa at Autn, Autn, T 787. ABSTRACT In nterconnect optmzaton by wre-zng,
More informationMODELLING OF TRANSIENT HEAT TRANSPORT IN TWO-LAYERED CRYSTALLINE SOLID FILMS USING THE INTERVAL LATTICE BOLTZMANN METHOD
Journal o Appled Mathematc and Computatonal Mechanc 7, 6(4), 57-65 www.amcm.pcz.pl p-issn 99-9965 DOI:.75/jamcm.7.4.6 e-issn 353-588 MODELLING OF TRANSIENT HEAT TRANSPORT IN TWO-LAYERED CRYSTALLINE SOLID
More informationEstimation of Finite Population Total under PPS Sampling in Presence of Extra Auxiliary Information
Internatonal Journal of Stattc and Analy. ISSN 2248-9959 Volume 6, Number 1 (2016), pp. 9-16 Reearch Inda Publcaton http://www.rpublcaton.com Etmaton of Fnte Populaton Total under PPS Samplng n Preence
More informationPerformance Bounds for P2P Streaming System with Transcoding
Appl. Math. Inf. Sc. 7, No. 6, 2477-2484 2013 2477 Appled Mathematc & Informaton Scence An Internatonal Journal http://dx.do.org/10.12785/am/070641 Performance Bound for P2P Streamng Sytem wth Trancodng
More informationA Hybrid Evolution Algorithm with Application Based on Chaos Genetic Algorithm and Particle Swarm Optimization
Natonal Conference on Informaton Technology and Computer Scence (CITCS ) A Hybrd Evoluton Algorthm wth Applcaton Baed on Chao Genetc Algorthm and Partcle Swarm Optmzaton Fu Yu School of Computer & Informaton
More informationA Quadratic Constraint Total Least-squares Algorithm for Hyperbolic Location
I. J. Communcaton, Network and Sytem Scence, 8,, 5-6 Publhed Onlne May 8 n ScRe (http://www.srpublhng.org/journal/jcn/). A Quadratc Contrant otal Leat-quare Algorthm for Hyperbolc Locaton Ka YANG, Janpng
More informationInformation Acquisition in Global Games of Regime Change (Online Appendix)
Informaton Acquton n Global Game of Regme Change (Onlne Appendx) Mchal Szkup and Iabel Trevno Augut 4, 05 Introducton Th appendx contan the proof of all the ntermedate reult that have been omtted from
More informationElectrical Circuits II (ECE233b)
Electrcal Crcut II (ECE33b) Applcaton of Laplace Tranform to Crcut Analy Anet Dounav The Unverty of Wetern Ontaro Faculty of Engneerng Scence Crcut Element Retance Tme Doman (t) v(t) R v(t) = R(t) Frequency
More informationModeling of Wave Behavior of Substrate Noise Coupling for Mixed-Signal IC Design
Modelng of Wave Behavor of Subtrate Noe Couplng for Mxed-Sgnal IC Degn Georgo Veron, Y-Chang Lu, and Robert W. Dutton Center for Integrated Sytem, Stanford Unverty, Stanford, CA 9435 yorgo@gloworm.tanford.edu
More informationContext Aware Energy Efficient Optimization for Video On-demand Service over Wireless Networks
Context Aware Energy Effcent Optmzaton for Vdeo On-demand Servce over Wrele Network Changyang She and Chenyang Yang School of Electronc and Informaton Engneerng, Behang Unverty, Bejng, Chna Emal: {cyhe,cyyang}@buaa.edu.cn
More informationWind - Induced Vibration Control of Long - Span Bridges by Multiple Tuned Mass Dampers
Tamkang Journal of Scence and Engneerng, Vol. 3, o., pp. -3 (000) Wnd - Induced Vbraton Control of Long - Span Brdge by Multple Tuned Ma Damper Yuh-Y Ln, Ch-Mng Cheng and Davd Sun Department of Cvl Engneerng
More informationMakoto SAKANE GS Yuasa Power Electronics Ltd Osaka ,Japan. U d
Dtrbuted Parallel Operaton of Modfed Deadbeat Controlled UPS Inverter Meng WAG, Fangheng LI, Yadong LIU, Lpe HUAG State Key Lab of Power Sytem Department of Electrcal Engneerng, nghua Unverty Bejng, 100084,
More informationConfidence intervals for the difference and the ratio of Lognormal means with bounded parameters
Songklanakarn J. Sc. Technol. 37 () 3-40 Mar.-Apr. 05 http://www.jt.pu.ac.th Orgnal Artcle Confdence nterval for the dfference and the rato of Lognormal mean wth bounded parameter Sa-aat Nwtpong* Department
More informationProblem #1. Known: All required parameters. Schematic: Find: Depth of freezing as function of time. Strategy:
BEE 3500 013 Prelm Soluton Problem #1 Known: All requred parameter. Schematc: Fnd: Depth of freezng a functon of tme. Strategy: In thee mplfed analy for freezng tme, a wa done n cla for a lab geometry,
More informationScattering of two identical particles in the center-of. of-mass frame. (b)
Lecture # November 5 Scatterng of two dentcal partcle Relatvtc Quantum Mechanc: The Klen-Gordon equaton Interpretaton of the Klen-Gordon equaton The Drac equaton Drac repreentaton for the matrce α and
More informationRobust Capacitated Facility Location Problem: Optimization Model and Solution Algorithms
222222222214 Journal of Uncertan Sytem Vol.7, No.1, pp.22-35, 2013 Onlne at: www.u.org.uk Robut Capactated Faclty Locaton Problem: Optmzaton Model and Soluton Algorthm Ragheb Rahmanan *, Mohammad Sad-Mehrabad,
More informationPhysics 111. CQ1: springs. con t. Aristocrat at a fixed angle. Wednesday, 8-9 pm in NSC 118/119 Sunday, 6:30-8 pm in CCLIR 468.
c Announcement day, ober 8, 004 Ch 8: Ch 10: Work done by orce at an angle Power Rotatonal Knematc angular dplacement angular velocty angular acceleraton Wedneday, 8-9 pm n NSC 118/119 Sunday, 6:30-8 pm
More informationMMA and GCMMA two methods for nonlinear optimization
MMA and GCMMA two methods for nonlnear optmzaton Krster Svanberg Optmzaton and Systems Theory, KTH, Stockholm, Sweden. krlle@math.kth.se Ths note descrbes the algorthms used n the author s 2007 mplementatons
More informationSupporting Information. Hydroxyl Radical Production by H 2 O 2 -Mediated. Conditions
Supportng Informaton Hydroxyl Radcal Producton by H 2 O 2 -Medated Oxdaton of Fe(II) Complexed by Suwannee Rver Fulvc Acd Under Crcumneutral Frehwater Condton Chrtopher J. Mller, Andrew L. Roe, T. Davd
More informationDecomposing Travel Times Measured by Probe-based Traffic Monitoring Systems to Individual Road Segments
Decompong Travel Tme Meaured by Probe-baed Traffc Montorng Sytem to Indvdual Road Segment Correpondng Author Bruce Hellnga PhD PEng Aocate Profeor Dept. of Cvl and Envronmental Engneerng Unverty of Waterloo
More informationCOMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS
Avalable onlne at http://sck.org J. Math. Comput. Sc. 3 (3), No., 6-3 ISSN: 97-537 COMPARISON OF SOME RELIABILITY CHARACTERISTICS BETWEEN REDUNDANT SYSTEMS REQUIRING SUPPORTING UNITS FOR THEIR OPERATIONS
More informationA Weighted UTASTAR Method for the Multiple Criteria Decision Making with Interval Numbers
3rd Internatonal Conference on Management Scence and Management Innovaton MSMI 2016) A Weghted UTASTAR Method for the Multple Crtera Decon Makng wth Interval Number Wen-Tao Xong Jng Cheng School of Mathematc
More informationPythagorean triples. Leen Noordzij.
Pythagorean trple. Leen Noordz Dr.l.noordz@leennoordz.nl www.leennoordz.me Content A Roadmap for generatng Pythagorean Trple.... Pythagorean Trple.... 3 Dcuon Concluon.... 5 A Roadmap for generatng Pythagorean
More informationThe Essential Dynamics Algorithm: Essential Results
@ MIT maachuett nttute of technology artfcal ntellgence laboratory The Eental Dynamc Algorthm: Eental Reult Martn C. Martn AI Memo 003-014 May 003 003 maachuett nttute of technology, cambrdge, ma 0139
More informationand decompose in cycles of length two
Permutaton of Proceedng of the Natona Conference On Undergraduate Reearch (NCUR) 006 Domncan Unverty of Caforna San Rafae, Caforna Apr - 4, 007 that are gven by bnoma and decompoe n cyce of ength two Yeena
More informationAlpha Risk of Taguchi Method with L 18 Array for NTB Type QCH by Simulation
Proceedng of the World Congre on Engneerng 00 Vol II WCE 00, July -, 00, London, U.K. Alpha Rk of Taguch Method wth L Array for NTB Type QCH by Smulaton A. Al-Refae and M.H. L Abtract Taguch method a wdely
More informationCHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE
CHAPTER 5 NUMERICAL EVALUATION OF DYNAMIC RESPONSE Analytcal soluton s usually not possble when exctaton vares arbtrarly wth tme or f the system s nonlnear. Such problems can be solved by numercal tmesteppng
More informationA Preliminary Study on Material Utilization of Stiffened Cylindrical Shells
Reearch Journal of Appled Scence, Engneerng and echnology 6(5): 757-763, 03 ISSN: 040-7459; e-issn: 040-7467 Maxwell Scentfc Organzaton, 03 Submtted: December 8, 0 Accepted: February 08, 03 Publhed: Augut
More informationWeek3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity
Week3, Chapter 4 Moton n Two Dmensons Lecture Quz A partcle confned to moton along the x axs moves wth constant acceleraton from x =.0 m to x = 8.0 m durng a 1-s tme nterval. The velocty of the partcle
More informationSUBTRACTION METHOD FOR REMOVING POWERLINE INTERFERENCE
SUBTRACTION METHOD OR REMOVING POWERLINE INTERERENCE ROM ECG IN CASE O REQUENCY DEVIATION Georgy Slavtchev Mhov, Ratcho Marnov Ivanov, Chavdar Lev Levkov aculty of Electronc Engneerng and Technologe (ETT),
More informationVariable Structure Control ~ Basics
Varable Structure Control ~ Bac Harry G. Kwatny Department of Mechancal Engneerng & Mechanc Drexel Unverty Outlne A prelmnary example VS ytem, ldng mode, reachng Bac of dcontnuou ytem Example: underea
More informationOptimal Order Policy for Time-Dependent. Deteriorating Items in Response to Temporary. Price Discount Linked to Order Quantity
Appled Mathematcal Scence, Vol. 7, 01, no. 58, 869-878 HIKARI Ltd, www.m-hkar.com Optmal Order Polcy for me-dependent Deteroratng Item n Repone to emporary Prce Dcount Lnked to Order uantty R. P. rpath
More informationPROBABILITY-CONSISTENT SCENARIO EARTHQUAKE AND ITS APPLICATION IN ESTIMATION OF GROUND MOTIONS
PROBABILITY-COSISTET SCEARIO EARTHQUAKE AD ITS APPLICATIO I ESTIATIO OF GROUD OTIOS Q-feng LUO SUARY Th paper preent a new defnton of probablty-content cenaro earthquae PCSE and an evaluaton method of
More informationTwo-Layered Model of Blood Flow through Composite Stenosed Artery
Avalable at http://pvamu.edu/aam Appl. Appl. Math. ISSN: 93-9466 Vol. 4, Iue (December 9), pp. 343 354 (Prevouly, Vol. 4, No.) Applcaton Appled Mathematc: An Internatonal Journal (AAM) Two-ayered Model
More informationRotational Machine Fault Detection with Ensemble Empirical Mode Decomposition Based on a Three Orthogonal Channel Sensor
Rotatonal Machne Fault Detecton wth Enemble Emprcal Mode Decompoton Baed on a hree Orthogonal Channel Senor L an Purdue Unverty North Central lzhetan@pnc.edu Alexander Mua Purdue Unverty North Central
More informationDesign and Optimization of Fuzzy Controller for Inverse Pendulum System Using Genetic Algorithm
Desgn and Optmzaton of Fuzzy Controller for Inverse Pendulum System Usng Genetc Algorthm H. Mehraban A. Ashoor Unversty of Tehran Unversty of Tehran h.mehraban@ece.ut.ac.r a.ashoor@ece.ut.ac.r Abstract:
More informationAssortment Optimization under MNL
Assortment Optmzaton under MNL Haotan Song Aprl 30, 2017 1 Introducton The assortment optmzaton problem ams to fnd the revenue-maxmzng assortment of products to offer when the prces of products are fxed.
More informationA Novel Approach for Testing Stability of 1-D Recursive Digital Filters Based on Lagrange Multipliers
Amercan Journal of Appled Scence 5 (5: 49-495, 8 ISSN 546-939 8 Scence Publcaton A Novel Approach for Tetng Stablty of -D Recurve Dgtal Flter Baed on Lagrange ultpler KRSanth, NGangatharan and Ponnavakko
More informationSynchronization Protocols. Task Allocation Bin-Packing Heuristics: First-Fit Subtasks assigned in arbitrary order To allocate a new subtask T i,j
End-to-End Schedulng Framework 1. Tak allocaton: bnd tak to proceor 2. Synchronzaton protocol: enforce precedence contrant 3. Subdeadlne agnment 4. Schedulablty analy Tak Allocaton Bn-Packng eurtc: Frt-Ft
More informationThe Price of Anarchy in a Network Pricing Game
The Prce of Anarchy n a Network Prcng Game John Muaccho and Shuang Wu Abtract We analyze a game theoretc model of competng network ervce provder that trategcally prce ther ervce n the preence of elatc
More informationA NEW APPROACH IN THE RAYLEIGH - SCHRÖDINGER PERTURBATION THEORY FOR THE ROVIBRATIONAL PROBLEM
Lebanee Scence Journal, Vol., No., A NEW APPROACH IN THE RAYLEIGH - SCHRÖDINGER PERTURBATION THEORY FOR THE ROVIBRATIONAL PROBLEM M. Korek Faculty of Scence, Berut Arab Unerty, P.O.Box - Rad El Solh, Berut
More informationComputer Control Systems
Computer Control ytem In th chapter we preent the element and the bac concept of computercontrolled ytem. The dcretaton and choce of amplng frequency wll be frt examned, followed by a tudy of dcrete-tme
More informationBatch RL Via Least Squares Policy Iteration
Batch RL Va Leat Square Polcy Iteraton Alan Fern * Baed n part on lde by Ronald Parr Overvew Motvaton LSPI Dervaton from LSTD Expermental reult Onlne veru Batch RL Onlne RL: ntegrate data collecton and
More informationbounds compared to SB and SBB bounds as the former two have an index parameter, while the latter two
1 Queung Procee n GPS and PGPS wth LRD Traffc Input Xang Yu, Ian L-Jn Thng, Yumng Jang and Chunmng Qao Department of Computer Scence and Engneerng State Unverty of New York at Buffalo Department of Electrcal
More informationSeismic Reliability Analysis and Topology Optimization of Lifeline Networks
The 4 th World Conference on Earthquake Engneerng October 2-7, 2008, Beng, Chna Semc Relablty Analy and Topology Optmzaton of Lfelne Network ABSTRACT: Je L and We Lu 2 Profeor, Dept. of Buldng Engneerng,
More informationSTOCHASTIC BEHAVIOUR OF COMMUNICATION SUBSYSTEM OF COMMUNICATION SATELLITE
IJS 4 () July Sharma & al ehavour of Subytem of ommuncaton Satellte SOHSI HVIOU O OMMUNIION SUSYSM O OMMUNIION SLLI SK Mttal eepankar Sharma & Neelam Sharma 3 S he author n th paper have dcued the tochatc
More information4DVAR, according to the name, is a four-dimensional variational method.
4D-Varatonal Data Assmlaton (4D-Var) 4DVAR, accordng to the name, s a four-dmensonal varatonal method. 4D-Var s actually a drect generalzaton of 3D-Var to handle observatons that are dstrbuted n tme. The
More informationA METHOD TO REPRESENT THE SEMANTIC DESCRIPTION OF A WEB SERVICE BASED ON COMPLEXITY FUNCTIONS
UPB Sc Bull, Sere A, Vol 77, I, 5 ISSN 3-77 A METHOD TO REPRESENT THE SEMANTIC DESCRIPTION OF A WEB SERVICE BASED ON COMPLEXITY FUNCTIONS Andre-Hora MOGOS, Adna Magda FLOREA Semantc web ervce repreent
More informationAir Age Equation Parameterized by Ventilation Grouped Time WU Wen-zhong
Appled Mechancs and Materals Submtted: 2014-05-07 ISSN: 1662-7482, Vols. 587-589, pp 449-452 Accepted: 2014-05-10 do:10.4028/www.scentfc.net/amm.587-589.449 Onlne: 2014-07-04 2014 Trans Tech Publcatons,
More informationOPTIMAL COMPUTING BUDGET ALLOCATION FOR MULTI-OBJECTIVE SIMULATION MODELS. David Goldsman
Proceedng of the 004 Wnter Smulaton Conference R.G. Ingall, M. D. Roett, J. S. Smth, and B. A. Peter, ed. OPTIMAL COMPUTING BUDGET ALLOCATION FOR MULTI-OBJECTIVE SIMULATION MODELS Loo Hay Lee Ek Peng Chew
More informationTHE FRACTIONAL INTEGRATOR AS REFERENCE FUNCTION 1. B. M. Vinagre C. A. Monje A. J. Calderón Y. Q. Chen V. Feliu
THE FRACTIONAL INTEGRATOR AS REFERENCE FUNCTION B. M. Vnagre C. A. Monje A. J. Calderón Y. Q. Chen V. Felu Ecuela de Ingenería Indutrale, Unverdad de Extremadura, Badajoz, Span, emal: {bvnagre,bvnagre,ajcalde}@unex.e
More informationOperating conditions of a mine fan under conditions of variable resistance
Paper No. 11 ISMS 216 Operatng condtons of a mne fan under condtons of varable resstance Zhang Ynghua a, Chen L a, b, Huang Zhan a, *, Gao Yukun a a State Key Laboratory of Hgh-Effcent Mnng and Safety
More informationA New Virtual Indexing Method for Measuring Host Connection Degrees
A New Vrtual Indexng Method for Meaurng ot Connecton Degree Pnghu Wang, Xaohong Guan,, Webo Gong 3, and Don Towley 4 SKLMS Lab and MOE KLINNS Lab, X an Jaotong Unverty, X an, Chna Department of Automaton
More informationRisk-aware Cooperative Spectrum Access for Multi-Channel Cognitive Radio Networks
1 Rk-aware Cooperatve Spectrum Acce for Mult-Channel Cogntve Rado Network Nng Zhang, Student Member, IEEE, Nan Cheng, Student Member, IEEE, Nng Lu, Student Member, IEEE, Habo Zhou, Student Member, IEEE,
More informationArticle A Graph-Based Power Flow Method for Balanced Distribution Systems 3, ID
energe Artcle A Graph-Baed Power Flow Method for Balanced Dtrbuton Sytem Tao Shen 1,,, Yanjun L 1, *, ID and J Xang 3, ID 1 School of Informaton and Electrcal Engneerng, Zhejang Unverty Cty College, Hangzhou
More informationSuppose that there s a measured wndow of data fff k () ; :::; ff k g of a sze w, measured dscretely wth varable dscretzaton step. It s convenent to pl
RECURSIVE SPLINE INTERPOLATION METHOD FOR REAL TIME ENGINE CONTROL APPLICATIONS A. Stotsky Volvo Car Corporaton Engne Desgn and Development Dept. 97542, HA1N, SE- 405 31 Gothenburg Sweden. Emal: astotsky@volvocars.com
More informationA Kernel Particle Filter Algorithm for Joint Tracking and Classification
A Kernel Partcle Flter Algorthm for Jont Tracng and Clafcaton Yunfe Guo Donglang Peng Inttute of Informaton and Control Automaton School Hangzhou Danz Unverty Hangzhou Chna gyf@hdueducn Huaje Chen Ane
More informationEstimating the benefits of energy-efficient train driving strategies: a model calibration with real data
Urban Transport XIX 201 Estmatng the benefts of energy-effcent tran drvng strateges: a model calbraton wth real data V. De Martns 1, M. Gallo 2 & L. D Acerno 1 1 Department of Cvl, Archtectural and Envronmental
More informationA Computational Method for Solving Two Point Boundary Value Problems of Order Four
Yoge Gupta et al, Int. J. Comp. Tec. Appl., Vol (5), - ISSN:9-09 A Computatonal Metod for Solvng Two Pont Boundary Value Problem of Order Four Yoge Gupta Department of Matematc Unted College of Engg and
More information2.3 Least-Square regressions
.3 Leat-Square regreon Eample.10 How do chldren grow? The pattern of growth vare from chld to chld, o we can bet undertandng the general pattern b followng the average heght of a number of chldren. Here
More informationA Fast Computer Aided Design Method for Filters
2017 Asa-Pacfc Engneerng and Technology Conference (APETC 2017) ISBN: 978-1-60595-443-1 A Fast Computer Aded Desgn Method for Flters Gang L ABSTRACT *Ths paper presents a fast computer aded desgn method
More informationCHAPTER IV RESEARCH FINDING AND ANALYSIS
CHAPTER IV REEARCH FINDING AND ANALYI A. Descrpton of Research Fndngs To fnd out the dfference between the students who were taught by usng Mme Game and the students who were not taught by usng Mme Game
More information