DETERMINING THE WEIBULL AND EXPONENTIALLY DISTRIBUTED SERVICEABILITY OF MACHINERY

Size: px
Start display at page:

Download "DETERMINING THE WEIBULL AND EXPONENTIALLY DISTRIBUTED SERVICEABILITY OF MACHINERY"

Transcription

1 284 DETERMINING THE WEIBULL AND EXPONENTIALLY DISTRIBUTED SERVICEABILITY OF MACHINERY V. Vljasoo Asrac The deermnaon of machnery servcealy enales o ncrease s relaly and economc effcency, o arrange prevenve echnoservce ndependen from economc crera and o fx he level consderng he expenses on echnoservce and manenance. The deermned servcealy levels enale o defne qualave level of operang machnery, he rao of defecs and falures. The gven servcealy levels, calculaed y acheved echnoservce or resored servcealy manenance wll enale o prognoscae s relaly ndces. Thus a greaer sress wll e pu on he qualy of echnoservce. The gven mehods can e appled for solvng praccal prolems n relaly of work. Inroducon The use of machnery shows s proaly of servcealy s ofen raher lale o he Weull and exponenal dsruon. As usual n real workng condons a come-up falure s an even n whch case s no possle or purposeful o use machnery efore s servcealy has no een resored. In case of prevenve manenance here s o do wh a parally faled machnery. The machnery wh decreased servcealy works wh lower effcency. The knd of down sae can e permed o a ceran level. The servcealy ulmae lm of machnery s usually ased on economc ndcaors. In case of prevenve manenance an opmum manenance nerval s ofen appled only y mnmum expenses for echnoservce and manenance. In ha case he level of machnery servcealy s mosly economc ndcaors. Accordng o he gven soluon n he arcle he Weull and exponenally dsrued servcealy of machnery can e deermned ndependen from economc ndcaors. Mehods By he characersc feaures of exponenal dsruon law a full falure y s formng proaly s an even, whch consss of wo each-oher excludng pars. One par s formed y falure, he oher one relale work. In he oppose case, relale work can e regarded an even, when he pars excludng each oher are n he rao relale work and falure. Relale work nensy and s proaly P( ) characerzng relale work of machnery can e found y he formula λ P( ) = e, () where P( ) relale work proaly of -h operang me; λ parameer h of falure level; -h operang me h. If he power λ of exponenal dsruon n he formula () s equal o he falure N, n he even N = 0.368, =, he proaly of relale work P ( ) = and smooh operang me can e calculaed y he formula = ln0.692, (2) where mean operang me per falure h. Analogcally n he even whch consss of falure and relale work, smooh operang me 2 and proaly of relale work P( 2 ) can e deermned. By he formula ()

2 Deermnng he Weull and exponenally dsrued servcealy of machnery 285 calculaons he proaly P( 2 ) = relale work and he correspondng smooh operang me 2 can e calculaed y he formula 2 = ln (3) By he formulae (), (2), (3) value of relale work proaly of good and defecve servceale machnery and smooh operang me can e calculaed. Work relaly ndcaors of praccal work capacy machnery can e calculaed smlarly u no y he numer of falures, u y he proaly of relale work. Wh he proaly of an even P( ) = he oppose even has he proaly F( ) = Analogcally, y he addon heorem [] he proaly of he even P( o ) = s he oppose even proaly F( o ) = The chosen proaly P( o ) and he duraon o of smooh operang me calculaed y he formula () characerze machnery relaly workng wh paral work capaces. The laer can e calculaed y he formula o = ln (4) The crcal lm of exponenally dsrued machnery servcealy has een deermned y falure. I s presumed n case of crcal workng capacy he proaly of relale work s gger han ha wh defcen workng capacy and smaller han n he case of paral workng capacy. Thus he smooh operang me characerzng crcal servcealy mus e durng he nervals o < k < 2. Falure can e calculaed f he dfference (0.09) eween he values of he operang mes o and s suraced, n case of 2, from he resuled falure. If, n case of crcal operang me k deermned falure N k = 0.54, and y he formula () deermned proaly of relale work P( k ) = 0.582, operang me of relale work k can e calculaed y he formula k = ln (5) Thus he condon o < k < 2 s compleed. In sysemazng he resuls, he ndcaors characerzng exponenally dsrued servcealy of operang and falng machnery are he followng (Tale ). Tale. Exponenally dsrued servcealy levels of machnery Operang me, h Proaly of relale work P( ) Falure N Formula Servcealy esmaon [2] = ln.000 complee e e = ln exemplary v v = ln very good = ln good o o = ln sasfacory k k = ln poor = ln defcen = ln mssng Exponenally dsrued servcealy level of machnery s complee, f he proaly of s relale work s.0; exemplary, f P( e ) = 0.900; very good, f P( v ) = 0.800; good, f P( ) = (reak-downs can e here, whch, o ceran exen, decrease workng capacy of machnery); sasfacory, f P( o ) = (reak-downs are here, whch parally decrease, workng capacy of machnery); poor, f P( k ) = (reak-downs are here, whch essenally decrease workng capacy of machnery and make s use prolemacal) and defecve, f P( 2 ) = (reak-downs are here whch essenally decrease workng

3 286 V. Vljasoo capacy of machnery and make useless). The machnery has los s workng capacy for one reason or oher, f he proaly of s relale work P( ) = In mos cases y chosen dsruon law he deermnaon of operaon relaly can e reduced o only one condonal equpmen, a machne, a componen (par), or an elemen. In connecon wh ha a defec and a falure usually have a quanave and qualave quany rao, whch can e characerzed as servcealy (workng capacy) as well. Thus a parally faled machnery has defecs, whereas defecs whch reduce workng capacy of workng machnery, form a falure. A par of relaly heory, enalng o nvesgae relaly (change of workng capacy) y he numer of falures and reasons, deals no wh colleced defecs u wh a falure, whch can also e a quanave par of a falure. In relaly heory he proaly dsruon law of machnery servcealy s chosen y varaon facor ν [3, 4, 5]. For deermnng he Weull and exponenally dsrued servcealy level of machnery we choose he varaon facors 0.927; 0.8; 0.705; 0.605; 0.505; [3, Supplemen, Tale 4]. Proaly of relale work sujeced o he Weull dsruon law of machnery, can e found y he formula ( ) P a = e, (6) where P( ) proaly of relale work of -h operang me; -h operang me h; a and Weull s parameers. The Weull parameer a s calculaed y he formula σ a =, (7) C where σ mean square devaon h, σ = v ; C he Weull facor [3, Supplemen, Tale 4]; v varaon facor; mean operang me per falure h. Knowng he values and ν, s possle o deermne mean square devaon σ and parameer a. The power of exponen n he formula (6), n case =, equals o falure N, he proaly of whch F () s calculaed y he formula []. F( ) = P( ). (8) Accordng o he Weull dsruon law a full falure, y he proaly of s comeup, can e consdered as an even conssng of wo pars excludng each oher. One par s formed y he falure N, correspondng o a varaon facor and he second par s s oppose even, relale work M. Falure s calculaed y he formula N where N falure per -h operang me; = F ( ), (9) a F () proaly of falure per operang me. In he oppose case relale work can e an even, f s pars, excludng each oher, compared wh he prevous, are oppose y he asolue value,.e. f he asolue value of he proaly of relale work s equalzed o he proaly of falure P( ) = F( ) and he asolue value of he laer, n s urn, s equal o he proaly of relale work F( ) = P( ). Hence he servcealy y he Weull dsruon law s good, f falure

4 Deermnng he Weull and exponenally dsrued servcealy of machnery 287 N = N (Formula 9) s calculaed n he condon F( ) = P( ) and he proaly of relale work P( ) n he condon = y he formula P( ) = e N. (0) Operang me of relale work = s calculaed y he formula [ P ] = ln ( ) a. () Relaly ndcaors of he machnery workng wh paral servcealy can e deermned smlarly, u no y falure, u y he proaly of relale work. Choosng he asolue value of falure calculaed y he formulae (6) and (8), as he proaly of relale work.e. P( o ) = F ( ), we can deermne y he formula () he relale work operang me = o. The values P( o ) and o characerze he servcealy of machnery workng wh paral workng capacy and her deermnaon mehods are vald f he varaon facor s eween.0 ν In case he varaon facor s eween > ν 0.399, he relaly ndcaors for he machnery wh paral workng capacy are calculaed smlarly, y falure. The falure N o s calculaed y he formula (9), whereas F () y he formula (8). The proaly of relale work P( o ) s calculaed y he formula (0), and he correspondng relale operang me = o y he formula (). The crcal lm for he Weull dsrued servcealy of machnery, n case he varaon facor s eween.0 ν 0.765, s deermned y falure. The falure N k s calculaed y he formula (9), whereas F () y he formula (8). The proaly of relale work P( k ) s calculaed y he formula (0) and he correspondng operang me of smooh relale work = k y he formula (). The crcal lm for he Weull dsrued servcealy of machnery, f he varaon facor s eween > ν 0.399, s calculaed y he proaly of falure. Havng chosen he proaly of relale work P( k ) calculaed y he formulae (6) and (8) he proaly of falure F( ) asolue value P( k ) = F( ), y he formula () he operang me of relale work = k s deermned. The values P( k ) and k characerze machnery relaly workng wh crcal servcealy. The relaly ndcaors of machnery workng wh defecve servcealy P( 2 ) and 2 are calculaed y falure n he whole lms of varaon facors (.0 ν 0.399). If he varaon facor s eween.0 ν he falure N 2 s deermned, n case of he operang me o and he dfference of falures N = N o N s added o he resuled falure N k, n crcal servcealy. If he varaon facor s eween > ν 0.399, he falure N 2 s calculaed, n case of he operang me k and he dfference of falures N = N k N s added o he resuled falure N o, n paral servcealy. The proaly of relale work P( 2 ) s calculaed, n oh cases, y he formula (0) and he correspondng relale work operang me = 2 y he formula (). The mean servcealy of operang and faled machnery deermned y he Weull dsruon are gven n he Tale 2. The servcealy of machnery s complee, f he proaly of relale work s.0; exemplary, f P ( e e ) = 0.900; very good, f P ( v v ) = 0.800; good, f he mean value of relale work proaly P ( ) = (here can e defecs, whch, o small exen, decrease servcealy); sasfacory, f P ( o ) = (here are defecs, whch parally decrease servcealy of machnery); poor, f P ( k ) = (here are defecs, whch essenally decrease servcealy of machnery and s use s prolemac) and defecve, f P ( 2 ) = (here are defecs, whch essenally decrease servcealy and make

5 288 V. Vljasoo useless). For some reason or oher he machnery has los s servcealy, faled, f he mean value of relale work proaly P ( ) = and he mean value of falure N = Tale 2. The Weull dsrued servcealy mean levels of machnery (0.765 > ν 0.399) Operang me, h Proaly of relale work P ( ) Falure N Formula = [ ln P( 0 ) ] e e e = [ ln P( e ) ] v v v = [ ln P( v ) ] = [ ln P( ) ] o o = [ ln P( o ) ] k k = [ ln P( k ) ] 2 = [ ln P( 2 ) ] = [ ln P( ) ] Servcealy esmaon [2] a complee a exemplary a very good a good a a poor a a sasfacory defecve mssng Summary The deermnaon of machnery servcealy enales o ncrease s relaly and economc effcency, o arrange prevenve echnoservce ndependen from economc crera and o fx he level consderng he expenses on echnoservce and manenance. The deermned servcealy levels enale o defne qualave level of operang machnery, he rao of defecs and falures. Exponenally dsrued servcealy levels are: P( 0 ) =.0 complee; P( e ) = exemplary; P( v ) = very good; P( ) = good, P( o ) = sasfacory, P( ) = poor and P( 2 ) = defecve, P( ) = mssng. The Weull dsrued servcealy levels of machnery are: P( 0 ) =.0 complee, 004 P( e e ) = exemplary, P( v v ) = very good, P ( ) = good, P ( o ) = sasfacory; P ( k ) = poor, P ( 2 ) = defecve and P ( ) = mssng. The gven servcealy levels, calculaed y acheved echnoservce or resored servcealy manenance wll enale o prognoscae s relaly ndces. Thus a greaer sress wll e pu on he qualy of echnoservce. The gven mehods can e appled for solvng praccal prolems n relaly of work.

6 Deermnng he Weull and exponenally dsrued servcealy of machnery 289 KOKKUVÕTE: Tehnka Weull- ja eksponenjaousele alluva öövõme määramse meoodka. Tehnka öövõme asemee määramne võmalda õsa selle öökndlus ja majanduslkku efekvsus, korraldada õrked enneava ehnohooldus majanduslkes kreerumdes sõlumaul võ hnnaa selle eesmärgkohas ase lähuval ehnohooldusele ja hooldusremondle ehud rahalses kuluuses. Määraud öövõme asemed võmaldavad prleda ööava ehnka öövõme kvalavse ase, rkee ja õrgee vahekorda. Esaud öövõmeasemed võmaldavad ehnka ehnohooldusega saavuaud võ hooldusremondga aasaud öövõme aseme järg prognoosda selle öökndlusnäajad. Sellega aseu ka suurem rõhk ehnohooldusööde egemse kvaleedle. Esaud meoodka on rakendaav öökndlusalase praklse ülesannee lahendamsel. References. Gursk J. Tõenäosuseoora ja maemaalse saska elemendd. Valgus, Tallnn, Kaufman: Кофман А. Введение в теорию нечетких множеств. Пер. с франц. Радио и связь, Москва, Selvanov, Aremjev: Селиванов А. И., Артемъев Ю. Н. Теортические основы ремонта и надежности сельскохозяйственной техники. Колос, Москва, Aremjev: Артемъев Ю. Н. Качество ремонта и надёжность машин в сельском хозяйстве. Колос, Москва, Presman: Прейсман В. И. Основы надёжности сельскохозяйственной техники. 2-е изд. доп. и перераб., Выша шк., Киев, 988.

Solution in semi infinite diffusion couples (error function analysis)

Solution in semi infinite diffusion couples (error function analysis) Soluon n sem nfne dffuson couples (error funcon analyss) Le us consder now he sem nfne dffuson couple of wo blocks wh concenraon of and I means ha, n a A- bnary sysem, s bondng beween wo blocks made of

More information

Survival Analysis and Reliability. A Note on the Mean Residual Life Function of a Parallel System

Survival Analysis and Reliability. A Note on the Mean Residual Life Function of a Parallel System Communcaons n Sascs Theory and Mehods, 34: 475 484, 2005 Copyrgh Taylor & Francs, Inc. ISSN: 0361-0926 prn/1532-415x onlne DOI: 10.1081/STA-200047430 Survval Analyss and Relably A Noe on he Mean Resdual

More information

On One Analytic Method of. Constructing Program Controls

On One Analytic Method of. Constructing Program Controls Appled Mahemacal Scences, Vol. 9, 05, no. 8, 409-407 HIKARI Ld, www.m-hkar.com hp://dx.do.org/0.988/ams.05.54349 On One Analyc Mehod of Consrucng Program Conrols A. N. Kvko, S. V. Chsyakov and Yu. E. Balyna

More information

V.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS

V.Abramov - FURTHER ANALYSIS OF CONFIDENCE INTERVALS FOR LARGE CLIENT/SERVER COMPUTER NETWORKS R&RATA # Vol.) 8, March FURTHER AALYSIS OF COFIDECE ITERVALS FOR LARGE CLIET/SERVER COMPUTER ETWORKS Vyacheslav Abramov School of Mahemacal Scences, Monash Unversy, Buldng 8, Level 4, Clayon Campus, Wellngon

More information

ESTIMATIONS OF RESIDUAL LIFETIME OF ALTERNATING PROCESS. COMMON APPROACH TO ESTIMATIONS OF RESIDUAL LIFETIME

ESTIMATIONS OF RESIDUAL LIFETIME OF ALTERNATING PROCESS. COMMON APPROACH TO ESTIMATIONS OF RESIDUAL LIFETIME Srucural relably. The heory and pracce Chumakov I.A., Chepurko V.A., Anonov A.V. ESTIMATIONS OF RESIDUAL LIFETIME OF ALTERNATING PROCESS. COMMON APPROACH TO ESTIMATIONS OF RESIDUAL LIFETIME The paper descrbes

More information

Sampling Procedure of the Sum of two Binary Markov Process Realizations

Sampling Procedure of the Sum of two Binary Markov Process Realizations Samplng Procedure of he Sum of wo Bnary Markov Process Realzaons YURY GORITSKIY Dep. of Mahemacal Modelng of Moscow Power Insue (Techncal Unversy), Moscow, RUSSIA, E-mal: gorsky@yandex.ru VLADIMIR KAZAKOV

More information

Chapter 6: AC Circuits

Chapter 6: AC Circuits Chaper 6: AC Crcus Chaper 6: Oulne Phasors and he AC Seady Sae AC Crcus A sable, lnear crcu operang n he seady sae wh snusodal excaon (.e., snusodal seady sae. Complee response forced response naural response.

More information

Existence and Uniqueness Results for Random Impulsive Integro-Differential Equation

Existence and Uniqueness Results for Random Impulsive Integro-Differential Equation Global Journal of Pure and Appled Mahemacs. ISSN 973-768 Volume 4, Number 6 (8), pp. 89-87 Research Inda Publcaons hp://www.rpublcaon.com Exsence and Unqueness Resuls for Random Impulsve Inegro-Dfferenal

More information

5th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2015)

5th International Conference on Advanced Design and Manufacturing Engineering (ICADME 2015) 5h Inernaonal onference on Advanced Desgn and Manufacurng Engneerng (IADME 5 The Falure Rae Expermenal Sudy of Specal N Machne Tool hunshan He, a, *, La Pan,b and Bng Hu 3,c,,3 ollege of Mechancal and

More information

10. A.C CIRCUITS. Theoretically current grows to maximum value after infinite time. But practically it grows to maximum after 5τ. Decay of current :

10. A.C CIRCUITS. Theoretically current grows to maximum value after infinite time. But practically it grows to maximum after 5τ. Decay of current : . A. IUITS Synopss : GOWTH OF UNT IN IUIT : d. When swch S s closed a =; = d. A me, curren = e 3. The consan / has dmensons of me and s called he nducve me consan ( τ ) of he crcu. 4. = τ; =.63, n one

More information

Online Supplement for Dynamic Multi-Technology. Production-Inventory Problem with Emissions Trading

Online Supplement for Dynamic Multi-Technology. Production-Inventory Problem with Emissions Trading Onlne Supplemen for Dynamc Mul-Technology Producon-Invenory Problem wh Emssons Tradng by We Zhang Zhongsheng Hua Yu Xa and Baofeng Huo Proof of Lemma For any ( qr ) Θ s easy o verfy ha he lnear programmng

More information

John Geweke a and Gianni Amisano b a Departments of Economics and Statistics, University of Iowa, USA b European Central Bank, Frankfurt, Germany

John Geweke a and Gianni Amisano b a Departments of Economics and Statistics, University of Iowa, USA b European Central Bank, Frankfurt, Germany Herarchcal Markov Normal Mxure models wh Applcaons o Fnancal Asse Reurns Appendx: Proofs of Theorems and Condonal Poseror Dsrbuons John Geweke a and Gann Amsano b a Deparmens of Economcs and Sascs, Unversy

More information

( t) Outline of program: BGC1: Survival and event history analysis Oslo, March-May Recapitulation. The additive regression model

( t) Outline of program: BGC1: Survival and event history analysis Oslo, March-May Recapitulation. The additive regression model BGC1: Survval and even hsory analyss Oslo, March-May 212 Monday May 7h and Tuesday May 8h The addve regresson model Ørnulf Borgan Deparmen of Mahemacs Unversy of Oslo Oulne of program: Recapulaon Counng

More information

Density Matrix Description of NMR BCMB/CHEM 8190

Density Matrix Description of NMR BCMB/CHEM 8190 Densy Marx Descrpon of NMR BCMBCHEM 89 Operaors n Marx Noaon If we say wh one bass se, properes vary only because of changes n he coeffcens weghng each bass se funcon x = h< Ix > - hs s how we calculae

More information

Time-interval analysis of β decay. V. Horvat and J. C. Hardy

Time-interval analysis of β decay. V. Horvat and J. C. Hardy Tme-nerval analyss of β decay V. Horva and J. C. Hardy Work on he even analyss of β decay [1] connued and resuled n he developmen of a novel mehod of bea-decay me-nerval analyss ha produces hghly accurae

More information

Performance Analysis for a Network having Standby Redundant Unit with Waiting in Repair

Performance Analysis for a Network having Standby Redundant Unit with Waiting in Repair TECHNI Inernaonal Journal of Compung Scence Communcaon Technologes VOL.5 NO. July 22 (ISSN 974-3375 erformance nalyss for a Nework havng Sby edundan Un wh ang n epar Jendra Sngh 2 abns orwal 2 Deparmen

More information

New M-Estimator Objective Function. in Simultaneous Equations Model. (A Comparative Study)

New M-Estimator Objective Function. in Simultaneous Equations Model. (A Comparative Study) Inernaonal Mahemacal Forum, Vol. 8, 3, no., 7 - HIKARI Ld, www.m-hkar.com hp://dx.do.org/.988/mf.3.3488 New M-Esmaor Objecve Funcon n Smulaneous Equaons Model (A Comparave Sudy) Ahmed H. Youssef Professor

More information

Bandlimited channel. Intersymbol interference (ISI) This non-ideal communication channel is also called dispersive channel

Bandlimited channel. Intersymbol interference (ISI) This non-ideal communication channel is also called dispersive channel Inersymol nererence ISI ISI s a sgnal-dependen orm o nererence ha arses ecause o devaons n he requency response o a channel rom he deal channel. Example: Bandlmed channel Tme Doman Bandlmed channel Frequency

More information

M. Y. Adamu Mathematical Sciences Programme, AbubakarTafawaBalewa University, Bauchi, Nigeria

M. Y. Adamu Mathematical Sciences Programme, AbubakarTafawaBalewa University, Bauchi, Nigeria IOSR Journal of Mahemacs (IOSR-JM e-issn: 78-578, p-issn: 9-765X. Volume 0, Issue 4 Ver. IV (Jul-Aug. 04, PP 40-44 Mulple SolonSoluons for a (+-dmensonalhroa-sasuma shallow waer wave equaon UsngPanlevé-Bӓclund

More information

GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS. Youngwoo Ahn and Kitae Kim

GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS. Youngwoo Ahn and Kitae Kim Korean J. Mah. 19 (2011), No. 3, pp. 263 272 GENERATING CERTAIN QUINTIC IRREDUCIBLE POLYNOMIALS OVER FINITE FIELDS Youngwoo Ahn and Kae Km Absrac. In he paper [1], an explc correspondence beween ceran

More information

. The geometric multiplicity is dim[ker( λi. number of linearly independent eigenvectors associated with this eigenvalue.

. The geometric multiplicity is dim[ker( λi. number of linearly independent eigenvectors associated with this eigenvalue. Lnear Algebra Lecure # Noes We connue wh he dscusson of egenvalues, egenvecors, and dagonalzably of marces We wan o know, n parcular wha condons wll assure ha a marx can be dagonalzed and wha he obsrucons

More information

Anisotropic Behaviors and Its Application on Sheet Metal Stamping Processes

Anisotropic Behaviors and Its Application on Sheet Metal Stamping Processes Ansoropc Behavors and Is Applcaon on Shee Meal Sampng Processes Welong Hu ETA-Engneerng Technology Assocaes, Inc. 33 E. Maple oad, Sue 00 Troy, MI 48083 USA 48-79-300 whu@ea.com Jeanne He ETA-Engneerng

More information

Methodological Aspects of Assessment and Optimization of the Reliability of Electrical Installations of the Railway Self-Propelled Rolling Stock

Methodological Aspects of Assessment and Optimization of the Reliability of Electrical Installations of the Railway Self-Propelled Rolling Stock Mehodologcal Aspecs of Assessmen and Opmzaon of he Relably of Elecrcal Insallaons of he Ralway Self-Propelled Rollng Sock Mukhamedova Zyoda Gafurdanovna, Yakubov Mrall Sagaovch Tashken nsue of ralway engneerng

More information

UNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 2017 EXAMINATION

UNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 2017 EXAMINATION INTERNATIONAL TRADE T. J. KEHOE UNIVERSITAT AUTÒNOMA DE BARCELONA MARCH 27 EXAMINATION Please answer wo of he hree quesons. You can consul class noes, workng papers, and arcles whle you are workng on he

More information

Robustness Experiments with Two Variance Components

Robustness Experiments with Two Variance Components Naonal Insue of Sandards and Technology (NIST) Informaon Technology Laboraory (ITL) Sascal Engneerng Dvson (SED) Robusness Expermens wh Two Varance Componens by Ana Ivelsse Avlés avles@ns.gov Conference

More information

. The geometric multiplicity is dim[ker( λi. A )], i.e. the number of linearly independent eigenvectors associated with this eigenvalue.

. The geometric multiplicity is dim[ker( λi. A )], i.e. the number of linearly independent eigenvectors associated with this eigenvalue. Mah E-b Lecure #0 Noes We connue wh he dscusson of egenvalues, egenvecors, and dagonalzably of marces We wan o know, n parcular wha condons wll assure ha a marx can be dagonalzed and wha he obsrucons are

More information

Chapter 6 DETECTION AND ESTIMATION: Model of digital communication system. Fundamental issues in digital communications are

Chapter 6 DETECTION AND ESTIMATION: Model of digital communication system. Fundamental issues in digital communications are Chaper 6 DEECIO AD EIMAIO: Fundamenal ssues n dgal communcaons are. Deecon and. Esmaon Deecon heory: I deals wh he desgn and evaluaon of decson makng processor ha observes he receved sgnal and guesses

More information

Density Matrix Description of NMR BCMB/CHEM 8190

Density Matrix Description of NMR BCMB/CHEM 8190 Densy Marx Descrpon of NMR BCMBCHEM 89 Operaors n Marx Noaon Alernae approach o second order specra: ask abou x magnezaon nsead of energes and ranson probables. If we say wh one bass se, properes vary

More information

Transient Response in Electric Circuits

Transient Response in Electric Circuits Transen esponse n Elecrc rcus The elemen equaon for he branch of he fgure when he source s gven by a generc funcon of me, s v () r d r ds = r Mrs d d r (')d' () V The crcu s descrbed by he opology equaons

More information

Ordinary Differential Equations in Neuroscience with Matlab examples. Aim 1- Gain understanding of how to set up and solve ODE s

Ordinary Differential Equations in Neuroscience with Matlab examples. Aim 1- Gain understanding of how to set up and solve ODE s Ordnary Dfferenal Equaons n Neuroscence wh Malab eamples. Am - Gan undersandng of how o se up and solve ODE s Am Undersand how o se up an solve a smple eample of he Hebb rule n D Our goal a end of class

More information

12d Model. Civil and Surveying Software. Drainage Analysis Module Detention/Retention Basins. Owen Thornton BE (Mech), 12d Model Programmer

12d Model. Civil and Surveying Software. Drainage Analysis Module Detention/Retention Basins. Owen Thornton BE (Mech), 12d Model Programmer d Model Cvl and Surveyng Soware Dranage Analyss Module Deenon/Reenon Basns Owen Thornon BE (Mech), d Model Programmer owen.hornon@d.com 4 January 007 Revsed: 04 Aprl 007 9 February 008 (8Cp) Ths documen

More information

V R. Electronics and Microelectronics AE4B34EM. Electronics and Microelectronics AE4B34EM. Voltage. Basic concept. Voltage.

V R. Electronics and Microelectronics AE4B34EM. Electronics and Microelectronics AE4B34EM. Voltage. Basic concept. Voltage. Elecroncs and Mcroelecroncs AEBEM. lecure basc elecronc crcu conceps ressors, capacors, nducors Elecroncs and Mcroelecroncs AEBEM Sudng maerals: server MOODLE hp://moodle.kme.fel.cvu.cz AEBEM Elecroncs

More information

Linear Response Theory: The connection between QFT and experiments

Linear Response Theory: The connection between QFT and experiments Phys540.nb 39 3 Lnear Response Theory: The connecon beween QFT and expermens 3.1. Basc conceps and deas Q: ow do we measure he conducvy of a meal? A: we frs nroduce a weak elecrc feld E, and hen measure

More information

CH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC

CH.3. COMPATIBILITY EQUATIONS. Continuum Mechanics Course (MMC) - ETSECCPB - UPC CH.3. COMPATIBILITY EQUATIONS Connuum Mechancs Course (MMC) - ETSECCPB - UPC Overvew Compably Condons Compably Equaons of a Poenal Vecor Feld Compably Condons for Infnesmal Srans Inegraon of he Infnesmal

More information

e-journal Reliability: Theory& Applications No 2 (Vol.2) Vyacheslav Abramov

e-journal Reliability: Theory& Applications No 2 (Vol.2) Vyacheslav Abramov June 7 e-ournal Relably: Theory& Applcaons No (Vol. CONFIDENCE INTERVALS ASSOCIATED WITH PERFORMANCE ANALYSIS OF SYMMETRIC LARGE CLOSED CLIENT/SERVER COMPUTER NETWORKS Absrac Vyacheslav Abramov School

More information

FI 3103 Quantum Physics

FI 3103 Quantum Physics /9/4 FI 33 Quanum Physcs Aleander A. Iskandar Physcs of Magnesm and Phooncs Research Grou Insu Teknolog Bandung Basc Conces n Quanum Physcs Probably and Eecaon Value Hesenberg Uncerany Prncle Wave Funcon

More information

In the complete model, these slopes are ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL. (! i+1 -! i ) + [(!") i+1,q - [(!

In the complete model, these slopes are ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL. (! i+1 -! i ) + [(!) i+1,q - [(! ANALYSIS OF VARIANCE FOR THE COMPLETE TWO-WAY MODEL The frs hng o es n wo-way ANOVA: Is here neracon? "No neracon" means: The man effecs model would f. Ths n urn means: In he neracon plo (wh A on he horzonal

More information

II. Light is a Ray (Geometrical Optics)

II. Light is a Ray (Geometrical Optics) II Lgh s a Ray (Geomercal Opcs) IIB Reflecon and Refracon Hero s Prncple of Leas Dsance Law of Reflecon Hero of Aleandra, who lved n he 2 nd cenury BC, posulaed he followng prncple: Prncple of Leas Dsance:

More information

Study on Pallet of Tobacco Industry Performance Degradation Detection Model Yijun Wang 1,a*, Qirong Liang 1,b, Yuliang Li 1,c, Zelin Wei 1,d

Study on Pallet of Tobacco Industry Performance Degradation Detection Model Yijun Wang 1,a*, Qirong Liang 1,b, Yuliang Li 1,c, Zelin Wei 1,d 16 nd Inernaonal Conference on Mechancal, Elecronc and Informaon Technology Engneerng (ICMITE 16) ISB: 978-1-6595-34-3 Sudy on Palle of Toacco Indusry Performance Degradaon Deecon Model Yjun Wang 1,a*,

More information

CS286.2 Lecture 14: Quantum de Finetti Theorems II

CS286.2 Lecture 14: Quantum de Finetti Theorems II CS286.2 Lecure 14: Quanum de Fne Theorems II Scrbe: Mara Okounkova 1 Saemen of he heorem Recall he las saemen of he quanum de Fne heorem from he prevous lecure. Theorem 1 Quanum de Fne). Le ρ Dens C 2

More information

Notes on the stability of dynamic systems and the use of Eigen Values.

Notes on the stability of dynamic systems and the use of Eigen Values. Noes on he sabl of dnamc ssems and he use of Egen Values. Source: Macro II course noes, Dr. Davd Bessler s Tme Seres course noes, zarads (999) Ineremporal Macroeconomcs chaper 4 & Techncal ppend, and Hamlon

More information

Fall 2009 Social Sciences 7418 University of Wisconsin-Madison. Problem Set 2 Answers (4) (6) di = D (10)

Fall 2009 Social Sciences 7418 University of Wisconsin-Madison. Problem Set 2 Answers (4) (6) di = D (10) Publc Affars 974 Menze D. Chnn Fall 2009 Socal Scences 7418 Unversy of Wsconsn-Madson Problem Se 2 Answers Due n lecure on Thursday, November 12. " Box n" your answers o he algebrac quesons. 1. Consder

More information

THERMODYNAMICS 1. The First Law and Other Basic Concepts (part 2)

THERMODYNAMICS 1. The First Law and Other Basic Concepts (part 2) Company LOGO THERMODYNAMICS The Frs Law and Oher Basc Conceps (par ) Deparmen of Chemcal Engneerng, Semarang Sae Unversy Dhon Harano S.T., M.T., M.Sc. Have you ever cooked? Equlbrum Equlbrum (con.) Equlbrum

More information

A NEW METHOD OF FMS SCHEDULING USING OPTIMIZATION AND SIMULATION

A NEW METHOD OF FMS SCHEDULING USING OPTIMIZATION AND SIMULATION A NEW METHD F FMS SCHEDULING USING PTIMIZATIN AND SIMULATIN Ezedeen Kodeekha Deparmen of Producon, Informacs, Managemen and Conrol Faculy of Mechancal Engneerng udapes Unversy of Technology and Econcs

More information

Sampling Coordination of Business Surveys Conducted by Insee

Sampling Coordination of Business Surveys Conducted by Insee Samplng Coordnaon of Busness Surveys Conduced by Insee Faben Guggemos 1, Olver Sauory 1 1 Insee, Busness Sascs Drecorae 18 boulevard Adolphe Pnard, 75675 Pars cedex 14, France Absrac The mehod presenly

More information

( ) () we define the interaction representation by the unitary transformation () = ()

( ) () we define the interaction representation by the unitary transformation () = () Hgher Order Perurbaon Theory Mchael Fowler 3/7/6 The neracon Represenaon Recall ha n he frs par of hs course sequence, we dscussed he chrödnger and Hesenberg represenaons of quanum mechancs here n he chrödnger

More information

An adaptive approach to small object segmentation

An adaptive approach to small object segmentation An adapve approach o small ojec segmenaon Shen ngzh ang Le Dep. of Elecronc Engneerng ejng Insue of echnology ejng 8 Chna Asrac-An adapve approach o small ojec segmenaon ased on Genec Algorhms s proposed.

More information

Li An-Ping. Beijing , P.R.China

Li An-Ping. Beijing , P.R.China A New Type of Cpher: DICING_csb L An-Png Bejng 100085, P.R.Chna apl0001@sna.com Absrac: In hs paper, we wll propose a new ype of cpher named DICING_csb, whch s derved from our prevous sream cpher DICING.

More information

On elements with index of the form 2 a 3 b in a parametric family of biquadratic elds

On elements with index of the form 2 a 3 b in a parametric family of biquadratic elds On elemens wh ndex of he form a 3 b n a paramerc famly of bquadrac elds Bora JadrevĆ Absrac In hs paper we gve some resuls abou prmve negral elemens p(c p n he famly of bcyclc bquadrac elds L c = Q ) c;

More information

Lecture 11 SVM cont

Lecture 11 SVM cont Lecure SVM con. 0 008 Wha we have done so far We have esalshed ha we wan o fnd a lnear decson oundary whose margn s he larges We know how o measure he margn of a lnear decson oundary Tha s: he mnmum geomerc

More information

PERISHABLES INVENTORY CONTROL MODEL UNDER TIME- VARYING AND CONTINUOUS DEMAND

PERISHABLES INVENTORY CONTROL MODEL UNDER TIME- VARYING AND CONTINUOUS DEMAND PERISHABLES INVENTORY CONTROL MODEL UNDER TIME- VARYING AND CONTINUOUS DEMAND Xangyang Ren 1, Hucong L, Meln Ce ABSTRACT: Ts paper consders e yseress persable caracerscs and sorage amoun of delayed rae

More information

OMXS30 Balance 20% Index Rules

OMXS30 Balance 20% Index Rules OMX30 Balance 0% ndex Rules Verson as of 30 March 009 Copyrgh 008, The NADAQ OMX Group, nc. All rghs reserved. NADAQ OMX, The NADAQ ock Marke and NADAQ are regsered servce/rademarks of The NADAQ OMX Group,

More information

EEL 6266 Power System Operation and Control. Chapter 5 Unit Commitment

EEL 6266 Power System Operation and Control. Chapter 5 Unit Commitment EEL 6266 Power Sysem Operaon and Conrol Chaper 5 Un Commmen Dynamc programmng chef advanage over enumeraon schemes s he reducon n he dmensonaly of he problem n a src prory order scheme, here are only N

More information

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 4

CS434a/541a: Pattern Recognition Prof. Olga Veksler. Lecture 4 CS434a/54a: Paern Recognon Prof. Olga Veksler Lecure 4 Oulne Normal Random Varable Properes Dscrmnan funcons Why Normal Random Varables? Analycally racable Works well when observaon comes form a corruped

More information

SOME NOISELESS CODING THEOREMS OF INACCURACY MEASURE OF ORDER α AND TYPE β

SOME NOISELESS CODING THEOREMS OF INACCURACY MEASURE OF ORDER α AND TYPE β SARAJEVO JOURNAL OF MATHEMATICS Vol.3 (15) (2007), 137 143 SOME NOISELESS CODING THEOREMS OF INACCURACY MEASURE OF ORDER α AND TYPE β M. A. K. BAIG AND RAYEES AHMAD DAR Absrac. In hs paper, we propose

More information

ELASTIC MODULUS ESTIMATION OF CHOPPED CARBON FIBER TAPE REINFORCED THERMOPLASTICS USING THE MONTE CARLO SIMULATION

ELASTIC MODULUS ESTIMATION OF CHOPPED CARBON FIBER TAPE REINFORCED THERMOPLASTICS USING THE MONTE CARLO SIMULATION THE 19 TH INTERNATIONAL ONFERENE ON OMPOSITE MATERIALS ELASTI MODULUS ESTIMATION OF HOPPED ARBON FIBER TAPE REINFORED THERMOPLASTIS USING THE MONTE ARLO SIMULATION Y. Sao 1*, J. Takahash 1, T. Masuo 1,

More information

This document is downloaded from DR-NTU, Nanyang Technological University Library, Singapore.

This document is downloaded from DR-NTU, Nanyang Technological University Library, Singapore. Ths documen s downloaded from DR-NTU, Nanyang Technologcal Unversy Lbrary, Sngapore. Tle A smplfed verb machng algorhm for word paron n vsual speech processng( Acceped verson ) Auhor(s) Foo, Say We; Yong,

More information

Efficient Asynchronous Channel Hopping Design for Cognitive Radio Networks

Efficient Asynchronous Channel Hopping Design for Cognitive Radio Networks Effcen Asynchronous Channel Hoppng Desgn for Cognve Rado Neworks Chh-Mn Chao, Chen-Yu Hsu, and Yun-ng Lng Absrac In a cognve rado nework (CRN), a necessary condon for nodes o communcae wh each oher s ha

More information

Tight results for Next Fit and Worst Fit with resource augmentation

Tight results for Next Fit and Worst Fit with resource augmentation Tgh resuls for Nex F and Wors F wh resource augmenaon Joan Boyar Leah Epsen Asaf Levn Asrac I s well known ha he wo smple algorhms for he classc n packng prolem, NF and WF oh have an approxmaon rao of

More information

TSS = SST + SSE An orthogonal partition of the total SS

TSS = SST + SSE An orthogonal partition of the total SS ANOVA: Topc 4. Orhogonal conrass [ST&D p. 183] H 0 : µ 1 = µ =... = µ H 1 : The mean of a leas one reamen group s dfferen To es hs hypohess, a basc ANOVA allocaes he varaon among reamen means (SST) equally

More information

EP2200 Queuing theory and teletraffic systems. 3rd lecture Markov chains Birth-death process - Poisson process. Viktoria Fodor KTH EES

EP2200 Queuing theory and teletraffic systems. 3rd lecture Markov chains Birth-death process - Poisson process. Viktoria Fodor KTH EES EP Queung heory and eleraffc sysems 3rd lecure Marov chans Brh-deah rocess - Posson rocess Vora Fodor KTH EES Oulne for oday Marov rocesses Connuous-me Marov-chans Grah and marx reresenaon Transen and

More information

THEORETICAL AUTOCORRELATIONS. ) if often denoted by γ. Note that

THEORETICAL AUTOCORRELATIONS. ) if often denoted by γ. Note that THEORETICAL AUTOCORRELATIONS Cov( y, y ) E( y E( y))( y E( y)) ρ = = Var( y) E( y E( y)) =,, L ρ = and Cov( y, y ) s ofen denoed by whle Var( y ) f ofen denoed by γ. Noe ha γ = γ and ρ = ρ and because

More information

HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD

HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Journal of Appled Mahemacs and Compuaonal Mechancs 3, (), 45-5 HEAT CONDUCTION PROBLEM IN A TWO-LAYERED HOLLOW CYLINDER BY USING THE GREEN S FUNCTION METHOD Sansław Kukla, Urszula Sedlecka Insue of Mahemacs,

More information

Multi-Fuel and Mixed-Mode IC Engine Combustion Simulation with a Detailed Chemistry Based Progress Variable Library Approach

Multi-Fuel and Mixed-Mode IC Engine Combustion Simulation with a Detailed Chemistry Based Progress Variable Library Approach Mul-Fuel and Med-Mode IC Engne Combuson Smulaon wh a Dealed Chemsry Based Progress Varable Lbrary Approach Conens Inroducon Approach Resuls Conclusons 2 Inroducon New Combuson Model- PVM-MF New Legslaons

More information

Approximate Analytic Solution of (2+1) - Dimensional Zakharov-Kuznetsov(Zk) Equations Using Homotopy

Approximate Analytic Solution of (2+1) - Dimensional Zakharov-Kuznetsov(Zk) Equations Using Homotopy Arcle Inernaonal Journal of Modern Mahemacal Scences, 4, (): - Inernaonal Journal of Modern Mahemacal Scences Journal homepage: www.modernscenfcpress.com/journals/jmms.aspx ISSN: 66-86X Florda, USA Approxmae

More information

Optimal replacement policy for safety-related multi-component multi-state. systems

Optimal replacement policy for safety-related multi-component multi-state. systems Opmal replacemen polcy for safey-relaed mul-componen mul-sae sysems Mng Xu, Tao Chen 2,*, Xanhu Yang Deparmen of Auomaon, Tsnghua Unversy, Bejng 84, Chna 2 Dvson of Cvl, Chemcal and Envronmenal Engneerng,

More information

by Lauren DeDieu Advisor: George Chen

by Lauren DeDieu Advisor: George Chen b Laren DeDe Advsor: George Chen Are one of he mos powerfl mehods o nmercall solve me dependen paral dfferenal eqaons PDE wh some knd of snglar shock waves & blow-p problems. Fed nmber of mesh pons Moves

More information

Chapter 2 Linear dynamic analysis of a structural system

Chapter 2 Linear dynamic analysis of a structural system Chaper Lnear dynamc analyss of a srucural sysem. Dynamc equlbrum he dynamc equlbrum analyss of a srucure s he mos general case ha can be suded as akes no accoun all he forces acng on. When he exernal loads

More information

Stochastic Repair and Replacement with a single repair channel

Stochastic Repair and Replacement with a single repair channel Sochasc Repar and Replacemen wh a sngle repar channel MOHAMMED A. HAJEEH Techno-Economcs Dvson Kuwa Insue for Scenfc Research P.O. Box 4885; Safa-309, KUWAIT mhajeeh@s.edu.w hp://www.sr.edu.w Absrac: Sysems

More information

Part II CONTINUOUS TIME STOCHASTIC PROCESSES

Part II CONTINUOUS TIME STOCHASTIC PROCESSES Par II CONTINUOUS TIME STOCHASTIC PROCESSES 4 Chaper 4 For an advanced analyss of he properes of he Wener process, see: Revus D and Yor M: Connuous marngales and Brownan Moon Karazas I and Shreve S E:

More information

Integration of Dimensional Quality and Locator Reliability in Design and Evaluation of Multi-station Body-In-White Assembly Processes

Integration of Dimensional Quality and Locator Reliability in Design and Evaluation of Multi-station Body-In-White Assembly Processes Inegraon of Dmensonal Qualy and Locaor Relably n Desgn and Evaluaon of Mul-saon Body-In-Whe Assembly Processes Yong Chen Deparmen of Mechancal and Indusral Engneerng, he Unversy of Iowa Iowa Cy, IA 54-157

More information

3. OVERVIEW OF NUMERICAL METHODS

3. OVERVIEW OF NUMERICAL METHODS 3 OVERVIEW OF NUMERICAL METHODS 3 Inroducory remarks Ths chaper summarzes hose numercal echnques whose knowledge s ndspensable for he undersandng of he dfferen dscree elemen mehods: he Newon-Raphson-mehod,

More information

Study on Intelligent Temperature Controller Based on Expert Controlling

Study on Intelligent Temperature Controller Based on Expert Controlling Sensors & Transducers 2014 by IFSA Publshng, S. L. hp://www.sensorsporal.com Sudy on Inellgen Temperaure Conroller Based on Exper Conrollng Jan-Hu MA, Peng GUO, Ka MENG College of Mechancal Engneerng,

More information

Outline. Probabilistic Model Learning. Probabilistic Model Learning. Probabilistic Model for Time-series Data: Hidden Markov Model

Outline. Probabilistic Model Learning. Probabilistic Model Learning. Probabilistic Model for Time-series Data: Hidden Markov Model Probablsc Model for Tme-seres Daa: Hdden Markov Model Hrosh Mamsuka Bonformacs Cener Kyoo Unversy Oulne Three Problems for probablsc models n machne learnng. Compung lkelhood 2. Learnng 3. Parsng (predcon

More information

Partial Availability and RGBI Methods to Improve System Performance in Different Interval of Time: The Drill Facility System Case Study

Partial Availability and RGBI Methods to Improve System Performance in Different Interval of Time: The Drill Facility System Case Study Open Journal of Modellng and Smulaon, 204, 2, 44-53 Publshed Onlne Ocober 204 n ScRes. hp://www.scrp.org/journal/ojms hp://dx.do.org/0.4236/ojms.204.2406 Paral Avalably and RGBI Mehods o Improve Sysem

More information

Modélisation de la détérioration basée sur les données de surveillance conditionnelle et estimation de la durée de vie résiduelle

Modélisation de la détérioration basée sur les données de surveillance conditionnelle et estimation de la durée de vie résiduelle Modélsaon de la dééroraon basée sur les données de survellance condonnelle e esmaon de la durée de ve résduelle T. T. Le, C. Bérenguer, F. Chaelan Unv. Grenoble Alpes, GIPSA-lab, F-38000 Grenoble, France

More information

Existence of Time Periodic Solutions for the Ginzburg-Landau Equations. model of superconductivity

Existence of Time Periodic Solutions for the Ginzburg-Landau Equations. model of superconductivity Journal of Mahemacal Analyss and Applcaons 3, 3944 999 Arcle ID jmaa.999.683, avalable onlne a hp:www.dealbrary.com on Exsence of me Perodc Soluons for he Gnzburg-Landau Equaons of Superconducvy Bxang

More information

Lecture 2 M/G/1 queues. M/G/1-queue

Lecture 2 M/G/1 queues. M/G/1-queue Lecure M/G/ queues M/G/-queue Posson arrval process Arbrary servce me dsrbuon Sngle server To deermne he sae of he sysem a me, we mus now The number of cusomers n he sysems N() Tme ha he cusomer currenly

More information

( ) [ ] MAP Decision Rule

( ) [ ] MAP Decision Rule Announcemens Bayes Decson Theory wh Normal Dsrbuons HW0 due oday HW o be assgned soon Proec descrpon posed Bomercs CSE 90 Lecure 4 CSE90, Sprng 04 CSE90, Sprng 04 Key Probables 4 ω class label X feaure

More information

ACEI working paper series RETRANSFORMATION BIAS IN THE ADJACENT ART PRICE INDEX

ACEI working paper series RETRANSFORMATION BIAS IN THE ADJACENT ART PRICE INDEX ACEI workng paper seres RETRANSFORMATION BIAS IN THE ADJACENT ART PRICE INDEX Andrew M. Jones Robero Zanola AWP-01-2011 Dae: July 2011 Reransformaon bas n he adjacen ar prce ndex * Andrew M. Jones and

More information

Let s treat the problem of the response of a system to an applied external force. Again,

Let s treat the problem of the response of a system to an applied external force. Again, Page 33 QUANTUM LNEAR RESPONSE FUNCTON Le s rea he problem of he response of a sysem o an appled exernal force. Agan, H() H f () A H + V () Exernal agen acng on nernal varable Hamlonan for equlbrum sysem

More information

Polymerization Technology Laboratory Course

Polymerization Technology Laboratory Course Prakkum Polymer Scence/Polymersaonsechnk Versuch Resdence Tme Dsrbuon Polymerzaon Technology Laboraory Course Resdence Tme Dsrbuon of Chemcal Reacors If molecules or elemens of a flud are akng dfferen

More information

OPTIMAL EXPERIMENTAL DESIGN WITH INVERSE PROBLEMS

OPTIMAL EXPERIMENTAL DESIGN WITH INVERSE PROBLEMS Inverse Problems n Engneerng: Theory and Pracce rd In. Conference on Inverse Problems n Engneerng June -8, 999, Por Ludlow, WA, USA EXP5 OPTIMAL EXPERIMENTAL DESIGN WITH INVERSE PROBLEMS Mkhal Romanovsk

More information

FTCS Solution to the Heat Equation

FTCS Solution to the Heat Equation FTCS Soluon o he Hea Equaon ME 448/548 Noes Gerald Reckenwald Porland Sae Unversy Deparmen of Mechancal Engneerng gerry@pdxedu ME 448/548: FTCS Soluon o he Hea Equaon Overvew Use he forward fne d erence

More information

RELATIONSHIP BETWEEN VOLATILITY AND TRADING VOLUME: THE CASE OF HSI STOCK RETURNS DATA

RELATIONSHIP BETWEEN VOLATILITY AND TRADING VOLUME: THE CASE OF HSI STOCK RETURNS DATA RELATIONSHIP BETWEEN VOLATILITY AND TRADING VOLUME: THE CASE OF HSI STOCK RETURNS DATA Mchaela Chocholaá Unversy of Economcs Braslava, Slovaka Inroducon (1) one of he characersc feaures of sock reurns

More information

Comparison of Differences between Power Means 1

Comparison of Differences between Power Means 1 In. Journal of Mah. Analyss, Vol. 7, 203, no., 5-55 Comparson of Dfferences beween Power Means Chang-An Tan, Guanghua Sh and Fe Zuo College of Mahemacs and Informaon Scence Henan Normal Unversy, 453007,

More information

A New Generalized Gronwall-Bellman Type Inequality

A New Generalized Gronwall-Bellman Type Inequality 22 Inernaonal Conference on Image, Vson and Comung (ICIVC 22) IPCSIT vol. 5 (22) (22) IACSIT Press, Sngaore DOI:.7763/IPCSIT.22.V5.46 A New Generalzed Gronwall-Bellman Tye Ineualy Qnghua Feng School of

More information

THE PREDICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS

THE PREDICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS THE PREICTION OF COMPETITIVE ENVIRONMENT IN BUSINESS INTROUCTION The wo dmensonal paral dfferenal equaons of second order can be used for he smulaon of compeve envronmen n busness The arcle presens he

More information

An introduction to Support Vector Machine

An introduction to Support Vector Machine An nroducon o Suppor Vecor Machne 報告者 : 黃立德 References: Smon Haykn, "Neural Neworks: a comprehensve foundaon, second edon, 999, Chaper 2,6 Nello Chrsann, John Shawe-Tayer, An Inroducon o Suppor Vecor Machnes,

More information

Variants of Pegasos. December 11, 2009

Variants of Pegasos. December 11, 2009 Inroducon Varans of Pegasos SooWoong Ryu bshboy@sanford.edu December, 009 Youngsoo Cho yc344@sanford.edu Developng a new SVM algorhm s ongong research opc. Among many exng SVM algorhms, we wll focus on

More information

WiH Wei He

WiH Wei He Sysem Idenfcaon of onlnear Sae-Space Space Baery odels WH We He wehe@calce.umd.edu Advsor: Dr. Chaochao Chen Deparmen of echancal Engneerng Unversy of aryland, College Par 1 Unversy of aryland Bacground

More information

Response of MDOF systems

Response of MDOF systems Response of MDOF syses Degree of freedo DOF: he nu nuber of ndependen coordnaes requred o deerne copleely he posons of all pars of a syse a any nsan of e. wo DOF syses hree DOF syses he noral ode analyss

More information

Improvement in Estimating Population Mean using Two Auxiliary Variables in Two-Phase Sampling

Improvement in Estimating Population Mean using Two Auxiliary Variables in Two-Phase Sampling Improvemen n Esmang Populaon Mean usng Two Auxlar Varables n Two-Phase amplng Rajesh ngh Deparmen of ascs, Banaras Hndu Unvers(U.P.), Inda (rsnghsa@ahoo.com) Pankaj Chauhan and Nrmala awan chool of ascs,

More information

Improvement in Estimating Population Mean using Two Auxiliary Variables in Two-Phase Sampling

Improvement in Estimating Population Mean using Two Auxiliary Variables in Two-Phase Sampling Rajesh ngh Deparmen of ascs, Banaras Hndu Unvers(U.P.), Inda Pankaj Chauhan, Nrmala awan chool of ascs, DAVV, Indore (M.P.), Inda Florenn marandache Deparmen of Mahemacs, Unvers of New Meco, Gallup, UA

More information

Motion in Two Dimensions

Motion in Two Dimensions Phys 1 Chaper 4 Moon n Two Dmensons adzyubenko@csub.edu hp://www.csub.edu/~adzyubenko 005, 014 A. Dzyubenko 004 Brooks/Cole 1 Dsplacemen as a Vecor The poson of an objec s descrbed by s poson ecor, r The

More information

Time Scale Evaluation of Economic Forecasts

Time Scale Evaluation of Economic Forecasts CENTRAL BANK OF CYPRUS EUROSYSTEM WORKING PAPER SERIES Tme Scale Evaluaon of Economc Forecass Anons Mchs February 2014 Worng Paper 2014-01 Cenral Ban of Cyprus Worng Papers presen wor n progress by cenral

More information

2/20/2013. EE 101 Midterm 2 Review

2/20/2013. EE 101 Midterm 2 Review //3 EE Mderm eew //3 Volage-mplfer Model The npu ressance s he equalen ressance see when lookng no he npu ermnals of he amplfer. o s he oupu ressance. I causes he oupu olage o decrease as he load ressance

More information

Graduate Macroeconomics 2 Problem set 5. - Solutions

Graduate Macroeconomics 2 Problem set 5. - Solutions Graduae Macroeconomcs 2 Problem se. - Soluons Queson 1 To answer hs queson we need he frms frs order condons and he equaon ha deermnes he number of frms n equlbrum. The frms frs order condons are: F K

More information

F-Tests and Analysis of Variance (ANOVA) in the Simple Linear Regression Model. 1. Introduction

F-Tests and Analysis of Variance (ANOVA) in the Simple Linear Regression Model. 1. Introduction ECOOMICS 35* -- OTE 9 ECO 35* -- OTE 9 F-Tess and Analyss of Varance (AOVA n he Smple Lnear Regresson Model Inroducon The smple lnear regresson model s gven by he followng populaon regresson equaon, or

More information

Genetic Algorithm in Parameter Estimation of Nonlinear Dynamic Systems

Genetic Algorithm in Parameter Estimation of Nonlinear Dynamic Systems Genec Algorhm n Parameer Esmaon of Nonlnear Dynamc Sysems E. Paeraks manos@egnaa.ee.auh.gr V. Perds perds@vergna.eng.auh.gr Ah. ehagas kehagas@egnaa.ee.auh.gr hp://skron.conrol.ee.auh.gr/kehagas/ndex.hm

More information