Multicriteria Decision Making for Reactive Power Compensation in Distribution Systems
|
|
- Russell Godwin Chandler
- 5 years ago
- Views:
Transcription
1 Proceedgs of he Euroea Coug Coferece Mucrera Decso Makg for Reacve Power Coesao Dsrbuo Syses HESTER J. RÚJO Deare of Pag ad Moorg of Dsrbuo Nework Maeace Mas Geras Eergy Coay ve. Barbacea Beo Horzoe - MG BRZ us@ceg.co.br h:// PETR Ya. EKE Graduae Progra Eecrca Egeerg Pofca Cahoc Uversy of Mas Geras ve. Do Jose Gasar Beo Horzoe - MG BRZ eke@ucas.br h:// RFE P. FCÃO FHO Deare of Dsrbuo Nework Pag Mas Geras Eergy Coay ve. Barbacea Beo Horzoe - MG BRZ rafae@ceg.co.br h:// Y V. KOKSHENEV Graduae Progra Eecrca Egeerg Federa Uversy of Mas Geras v. oo Caros Beo Horzoe MG BRZ ya.koksheev@ga.co h:// HENRQUE S. SCHUFFNER Deare of Eecrca Egeerg Pofca Cahoc Uversy of Mas Geras ve. Do Jose Gasar Beo Horzoe - MG BRZ herque.schuffer@ga.co h:// bsrac: - Ths aer reses resus of research reaed o foruag ad sovg he robe of caacor acee dsrbuo syses wh he fraework of ucrea decso akg odes. The acao of ucrera aroach s dreced frs of a a overcog he dffcues of suaeous observg coradcory cosras for he erssbe uer ad ower voage s a dffere buses of dsrbuo syses as we as oher ora codos oerag caacors. The souo of he robe of caacor acee he ucrera saee s based o cobg he Bea-Zadeh aroach o decso akg a fuzzy evroe wh he acao of he geerazed agorhs of dscree ozao. The aer resus are usraed by coug exeres wh a rea dsrbuo syse. Key-ords: - Dsrbuo Syses Reacve Power Coesao Mucrera decso akg Bea- Zadeh roach Dscree Ozao Geerazed gorhs of Dscree Ozao. SBN:
2 Proceedgs of he Euroea Coug Coferece roduco Caacors are wdey used dsrbuo syses for reacve ower coesao o acheve ower ad eergy oss reduco ad o rove he syse voage rofe. Tradoay he robe souo s dreced a he deerao of he ocaos szes ad yes of caacors o ze he obecve fuco of a ecooca characer whe he cosras o voage agudes a dffere oad eves are sasfed. The ehods for sovg he reacve ower coesao robe are cassfed []. The foowg grous of ehods are cassfed: aayca ehods uerca ehods heursc ehods ad arfca egece based ehods. works cosdered [] are dreced a sovg he robe wh he fraework of oocrera odes. The aory of ore rece works (for exae [2-4] s aso dreced a sovg he robe wh he oocrera fraework. The rese aer s devoed o foruag ad sovg he caacor acee robe wh he fraework of ucrera decso akg odes. s assocaed wh he foowg cosderaos. The ecessy of suaeous observg cosras o he erssbe uer ad ower voage s a dffere buses of dsrbuo syses creaes essea dffcues ( s o ucoo ha hese cosras geerae suaos whe he corresodg feasbe regos are ey. These dffcues ca be overcoe by zg he obecve fuco of a ecooca characer as we as he obecve fuco whch refecs a voue of oor eergy cosuo (eergy cosued wh voage agudes ousde of he erssbe s. The fexby of cudg he obecve fuco refecg eergy quay s cofred by he resus of [5]. However hese resus are based o ayg fuzzy ogc. does o er oe o ake drecy o accou he dscree aure of he caacor acee robe. Thus f he robe s assocaed wh he deerao of he ocaos ad szes of fxed caacors ca be aroxaed by a bcrera ode. he sae e f we ak abou he deerao of he ocaos szes ad yes (fxed or swched of caacors he uber of he obecve fucos s o be ore. arcuar oe of he os ora quesos oerag swched caacors s he observao of a desrabe (erssbe uber of her couaos er a e u [6]. However ahough he aer resus are of a geera characer cosderg s ed sze he robe foruao s reaed o he deerao of he ocaos ad szes of caacors. 2 Probe Foruao Cosderg he dscree aure of he caacor acee robe he geerazed agorhs of dscree ozao are used for s souo. These agorhs frsy have bee reseed [7]. The resus of her deveog are refeced for sace [89]. The agorhs are assocaed wh he ehod of orazed fucos ad cobe fora ad fora rocedures. arcuar he agorhs are based o ayg he deas of greedy heurscs [] whch bascay rovde he bes heursc aog ossbe heurscs wh a ror esaes ad offer a bass for effecve aroxaed aroaches. The agorhs aow oe o oba quas-oa souos afer a sa uber of ses overcog he NP-coeeess. They do o requre aayca secfcao of obecve fucos ad cosras. Ths esures he fexby ad he ossby o correcy refec dverse yes of a daa by he use of so-caed dscree sequeces x s s τs... s =... ρ v ( where ρ τ... are echca ecooca ec. s s characerscs requred for forg obecve fucos cosras ad her crees whch corresod o he sh dscree (eger Booea vaue of he varabe x. Cosderg hs s raoa o foruae he geera robe of caacor acee as foows. f caacors ca be saed o he dde ad ow voage eves he forao o caacors ca be reseed as he creasg dscree sequeces M M M Q K g δ =... (2 for caacors of he dde voage eve ad Q K g δ =... q (3 for caacors of he ow voage eve. M (2 ad (3 Q ad Q are sadard szes of he h ad h caacors for he dde ad ow voage eves resecvey; K ad K are her M oa coss; g δ ad g δ are her secfc osses. s aura ha dffere dscree sequeces ca be aed o dffere buses by roducg he bus dex =.... For sace f dffere dscree sequeces have o be aed o each dde voage bus he (2 s rasfored o M M M Q K g δ =... =.... (4 However e us cosder he ossby o ay he sae dscree sequeces for he dde voage eve ad he sae dscree sequeces for he ow voage M SBN:
3 Proceedgs of he Euroea Coug Coferece eve o sfy he robe saee. Fro he dscree sequeces (2 ad (3 s ecessary o choose Q M =... q =... ad Q =... r =... ( s suosed ha he dex s assocaed wh he dde voage buses; however f he cosdered bus corresods o a dsrbuo rasforer he caacors ca be saed a s dde as we as s ow voage buses o ze he obecve fuco of he rese vaue of he roec's fee M M M Z ( Q... Q... Q Q... Q... Q M = ( K K Ω ω = ω= r ( o& d M { ( K K = T M M c ( δ Q δ Q g g e = = M M c ( δ Q δ Q g g = M M c ( δ Q δ Q g g o o = g T ce M R ( Q Q Q 3 V c 2 f f = = = f g M R ( Q Q Q 3 V 2 f f = = f c o M R ( 3 2 f Q Q Q } (4 V f = o = f where =... T s a curre dex of oad curve ses; eas ha a se beogs o ower syse eak oad e; o eas ha a se s ou of ower syse eak oad e; f eas ha oad of bus fows hrough brach f; V s a ework oa voage; R f f =... g s a ressace of brach f; ω =... Ω s a curre year; r s a dscou rae; o & ad d are reave exeses reaed o caacor oerao ad aeace ad derecao resecvey; c e s eergy cos; c ad c o are rasorao arffs for ower syse eak oad e ad ou of ower syse eak oad e. The zao of (4 us be execued whe he cosras o voage agudes a dffere oad eves are sasfed. These cosras ca be reaed o he os reoe cosuers ad o he eares cosuers of ow voage eworks. Cosderg hs he cosras for he feror voage eves ca be reseed as V V g g re M 2 Q f Q f V = = = = f f f f J =... T (5 where J s a se of he os reoe cosuers of ow voage eworks wh voage eves V re < V ( V s he erssbe feror voage eve; f s a reacace of brach f ; f eas ha brach f beogs o he way of suyg he os reoe cosuer. The cosras for he eares cosuers of ow voage eworks ca be reseed as foows: V V g g g e M 2 Q f Q f V = = = = f f f f =... J =... T. (6 where V s he erssbe sueror voage eve. s was dcaed above he suaeous observao of (5 ad (6 ees dffcues. arcuar ay voao of he cosra (6 for ay bus sos he ozao rocess. Cosderg hs s raoa o chage he oocrera robe (2- (6 by he robe (2-(4 ad he foowg addoa obecve fuco M M M ( Q... Q... Q Q... Q... Q J = = T = = J T = =. (7 refecg a voue of oor eergy cosuo. (7 s a overa voue of eergy cosuo wh he voage eves sueror V ; s a overa voue of eergy cosuo wh he voage eves feror V ; s a voue of oor eergy cosuo wh he voage eves sueror V by he h ow voage ework for h oad curve se; s a voue of oor eergy cosuo wh he voage eves feror V by he h ow voage ework for h oad curve se. f araeers of a ow voage ework as we as s oads are avaabe he evauao of or creaes o dffcues. f hey are o avaabe s ossbe o ay so-caed ow voage ework odes reseed he ex seco. SBN:
4 Proceedgs of he Euroea Coug Coferece 3 Evauao of Poor Eergy Cosuo Suose ha acve a ad reacve oads of he h ow voage ework have a ufor dsrbuo aog he egh of s ode. Ths ode ca be defed as a fuco of a axu voage dro V ax corresodg o a axa oad ax. The esao of V ax s assocaed wh dffcues. Takg hs o accou s ossbe o uze a vaue defed by roec ors of he uy. voage dro ca be defed as V ax ax = ax r V = V V S S. (8 ax curre fow hrough a eeeary seco of he ode corresodg o a dsace fro he eares cosuer ca be defed by = ( -. (9 e ( - = The corresodg voage dro ca be cacuaed as ( V e = ( - Z = ( - Z where Z s a secfc edace. voage dro fro he eares cosuer o he o cudes wo cooes. The frs oe s assocaed wh a ufor oad dsrbuo aog. The secod oe s assocaed wh a coceraed oad whch s equa o a oa oad obaed aog of -. Thus cosderg (9 ad ( s ossbe o wre he foowg correao: V =.5 Z whch ca be reduced o ( - Z 2 ( Z ( V (.5 Z. = (2 The rao Ψ = refecs ar of cosuers of a ow voage ework wh a voage dro ess ha or equa o. Cosderg hs he V correao (2 ca be reseed as The souo of (3 s 2 ( Ψ 2Ψ V =. (3 V Ψ =. (4 V V he sae e ar of cosuers aced bewee he o ad he ed of he e s Ψ =. (5 V V Cosderg re V = V e ad ayg (4 V ad (5 s ossbe o esae eergy ( e V V / V = [ ] ad eergy as ( e V V V / V = [ ] as (6. (7 4 The Bea-Zadeh roach ad Mucrera Decso Makg he aayzg ucrera odes a vecor of obecve fucos F( = { F (... F ( } s cosdered ad he robe cosss suaeous ozg a obecve fucos.e. F ( exr =... q (8 where s a feasbe rego R. The frs se sovg (8 s assocaed wh deerg a se of Pareo souos Ω []. Ths se s usefu. However does o er oe o oba uque souos. s ecessary o choose a arcuar Pareo souo o he bass of forao rovded by a decso aker (DM. Three aroaches o usg hs forao are cassfed [2]: a ror a oseror ad adave. The os referabe aroach s he adave oe. hs aroach he rocedure of successve rovg he souo quay s erfored as a raso fro α Ω o α Ω cosderg he forao α rovded by a DM. he aayzg ucrera robes s ecessary o sove quesos reaed o orazg crera seecg rces of oay ad cosderg rores of crera. Ther souo ad herefore he deveoe of ucrera ehods are carred ou severa drecos [3]. hou dscusso of he s ecessary o o ou ha a ora queso ucrera decso akg s he souo quay. s cosdered hgh f eves of sasfyg crera are equa or cose o each oher (haroous souos whe a obecve fucos have he sae orace [4]. s o dffcu o exed hs coce for he case whe he orace eves of obecve fucos are dffere. Fro hs o of vew shoud be recorded he vady ad advsaby of he dreco reaed o he rce of guaraeed resu whch ca be reazed [24] o he bass of ayg he Bea-Zadeh aroach o decso akg a fuzzy evroe [5]. The Bea-Zadeh aroach ers oe o q SBN:
5 Proceedgs of he Euroea Coug Coferece reaze a couaoay effecve ad rgorous (fro he sado of obag souos Ω ehod of aayzg ucrera odes. s use aso aows oe o reserve a aura easure of uceray decso akg ad o ake o accou dces crera ad cosras of quaave characer. he usg he aroach each obecve fuco F ( s reaced by a fuzzy obecve fuco or a fuzzy se: = { ( } =... q (9 where ( s a ebersh fuco of [2]. fuzzy souo D wh he gve fuzzy ses (9 s ured ou as a resu of he erseco q = D = wh a ebersh fuco D ( = q (. (2 The use of he erseco (2 ers oe o oba he souo rovg he axu degree ax ( = ax ( (2 D q of beogg o he fuzzy souo D. Therefore he robe (8 s reduced o = arg ax q (. (22 To oba he souo (22 s ecessary o bd ebersh fucos ( =... q refecg a degree of achevg "ow" oa by F ( =... q. Ths codo s sasfed by he use of ebersh fucos λ F ( F ( ( = (23 ax F ( F ( for axzed obecve fucos or by he use of ebersh fucos λ ax F ( F ( ( = (24 ax F ( F ( for zed obecve fucos. (23 ad (24 λ =... q are corresodg orace facors. The cosruco of (23 ad (24 deads o sove he foowg robes: F ( (25 F ( ax (26 rovdg he souos = arg F ( ad = arg ax F (. hs aer he souo of (8 deads aayss of 2 q oocrera robes (25 (26 ad (2 resecvey. Sce he souo s o beog o Ω s ecessary o bud ( = { ( ( } (27 D q where ( π = f Ω or ( = f Ω. π The rocedures for sovg he robe (2 dscussed [2] rovde a e obag Ω accordace wh (27. Thus ca be sad abou equvaece of ( D ad ( D. ers oe o gve u he ecessy of eeg a cubersoe rocedure for budg he se Ω. The exsece of s addoa codos (dces crera ad/or cosras of quaave characer defed by gusc varabes [2] reduces (22 o = arg ax ( (28 where q s ( = q... s are ebersh fucos of fuzzy vaues of gusc varabes whch refec hese addoa codos. Takg he above o accou he souo of he ucrera caacor acee robe s reduced o ayg he geerazed agorhs of dscree ozao [7-9] o sove he ax robe (2. 5 usrag Exae The reseed resus have served for eaborag a cuso-deveoed Eecrc Power Dsrbuo ayss (EPODN sofware. Ths sofware s eeed Java/C o rovde fexbe ower fow ode o ozao agorhs whe suyg rch vsuazao ad aayss caabes o he user. odfed backward-forward swee agorh [6] s eeed aog wh he echques of arae rocessg for obag hgh erforace resus o arge scae odes (for sace eworks wh over busses aowg acao of he aer resus o he rea-word eworks o coveoa desko couers. e us cosder he resus obaed fro EPODN for he robe of acg fxed caacors a dsrbuo ework 3.8/.22 kv of oe of subsaos 38/3.8 kv of he Mas Geras Sae Eergy Coay (CEMG. Ths ework cudes 3 feeders feedg 9 rary cosuers ad 292 dsrbuo rasforers wh 9756 secodary cosuers. The oa egh of eworks s 36 k. The foowg souo aeraves are reseed π SBN:
6 Proceedgs of he Euroea Coug Coferece Tabe : a sae; oocrera souo whch zes he obecve fuco Z observg he cosras for he sueror voage eves; B oocrera souo whch zes he obecve fuco Z; C oocrera souo whch zes he obecve fuco ; M ucrera souo whch rovdes a corose bewee souos ad B; M 2 ucrera souo whch rovdes a corose bewee souos B ad C. Tabe. Souo resus erave Obecve fuco Z R$ Obecve fuco Mh B C M M Cocuso The resus reaed o foruag ad sovg he robe of caacor acee dsrbuo syses wh he fraework of ucrea decso akg odes have bee reseed. The souo of he robe s based o cobg he Bea-Zadeh aroach o decso akg a fuzzy evroe wh he acao of he geerazed agorhs of dscree ozao. The use of he ucrera aroach ers oe o overcoe he dffcues of suaeous observg cosras for he erssbe uer ad ower voage s a dffere buses of dsrbuo syses as we as oher ora codos oerag caacors rovdg fexbe souos. 7 ckowedges Ths research was suored by he Naoa Couc for Scefc ad Techoogca Deveoe of Braz (CNPq ad he Mas Geras Sae Eergy Coay (CEMG. Refereces: [] H.N. Ng M.M.. Saaa ad.y. Chha Cassfcao of Caacor ocao Techques EEE Trasacos o Power Devery Vo.5No [2] R.. Gaego.J. Moce ad R. Roero Oa Caacor Pacee Rada Dsrbuo Neworks EEE Trasacos o Power Syses Vo.6 No [3] J.P. Chou C.F. Chag ad C.T. Su Caacor Pacee arge-scae Dsrbuo Syses Usg Varabe Scag Hybrd Dfferea evouo eraoa Joura of Eecrca Power ad Eergy Syses Vo.26 No [4] J.Y. Park J.M. Soh ad J.K. Park Oa Caacor ocao a Dsrbuo Syse Cosderg Oerao Coss EEE Trasacos o Power Syses Vo.24 No [5] B.. Souza H. Nasceo ad H.. Ferrera Mcrogeec gorhs ad Fuzzy ogc ed o he Oa Pacee of Caacor Baks Dsrbuo Neworks EEE Trasacos o Power Syses Vo.9 No [6] M.B. u C.. Vafzares ad. Huag Reacve Power ad Voage Coro Dsrbuo Syses wh ed Swchg Oeraos EEE Trasacos o Power Syses Vo.24 No [7] V.V. Zor ad P.Ya. Eke Dscree-ozao Mehods for Eecrca Suy Syses Power Egeerg Vo.8 No [8] P. Eke R. Pahares. rauo M. Sva V. Poov. Bodareko ad V. Tkacheko Geerazed gorhs of Dscree Ozao ad Ther caos eraoa Joura of Couer Research Vo.2 No [9] P.Ya. Eke ad F.H. Schuffer gorhs of Dscree Ozao ad Ther caos o Probes wh Fuzzy Coeffces forao Sceces Vo.76 No [] T.H. Core C.E. eserso ad R.. Rves roduco o gorhs MT Press 99. [] V. Pareo Cours d Écooe Poque ousae Rouge 886. [2]. Pedrycz P. Eke ad R. Parreras Modes ad gorhs of Fuzzy Mucrera Decso- Makg ad Ther caos ey ress. [3] M. Ehrgo Mucrera Ozao Srger 25. [4] P.Ya. Eke Mehods of Decso Makg Fuzzy Evroe ad Ther caos Noear ayss Vo.47 No [5] R.E. Bea ad.. Zadeh Decso-akg a Fuzzy Evroe Maagee Scece Vo.7 No [6] R.D. Zera Corehesve Dsrbuo Power Fow: Modeg Foruao Souo gorhs ad ayss: Ph. Thess Core Uversy 995. SBN:
Chapter 1 - Free Vibration of Multi-Degree-of-Freedom Systems - I
CEE49b Chaper - Free Vbrao of M-Degree-of-Freedo Syses - I Free Udaped Vbrao The basc ype of respose of -degree-of-freedo syses s free daped vbrao Aaogos o sge degree of freedo syses he aayss of free vbrao
More informationMulti-Period Portfolio Selection with No-Shorting Constraints: Duality Analysis
Joura of Maheaca Face 7 7 75-768 hp://wwwscrporg/oura/f ISSN Oe: 6-44 ISSN Pr: 6-434 Mu-Perod Porfoo Seeco wh No-Shorg Cosras: Duay Aayss Ju Q La Y Maagee Schoo Ja Uversy Guagzhou Cha How o ce hs paper:
More informationNational Conference on Recent Trends in Synthesis and Characterization of Futuristic Material in Science for the Development of Society
ABSTRACT Naoa Coferece o Rece Tred Syhe ad Characerzao of Fuurc Maera Scece for he Deveome of Socey (NCRDAMDS-208) I aocao wh Ieraoa Joura of Scefc Reearch Scece ad Techoogy Some New Iegra Reao of I- Fuco
More informationOwnership Structure and Optimal Field Development
Owersh Srucure ad Oma Fed Deveome Jose Tved * DB Mares ad Norwega Schoo of Ecoomcs ad Busess dmsrao (Draf - r 00) BSTRCT The aer reses a mode for he vauao of marga offshore o feds ha are geograhca cose
More informationThe Poisson Process Properties of the Poisson Process
Posso Processes Summary The Posso Process Properes of he Posso Process Ierarrval mes Memoryless propery ad he resdual lfeme paradox Superposo of Posso processes Radom seleco of Posso Pos Bulk Arrvals ad
More informationOptimality of Distributed Control for n n Hyperbolic Systems with an Infinite Number of Variables
Advaces Pure Mahemacs 3 3 598-68 hp://dxdoorg/436/apm33677 Pubshed Oe Sepember 3 (hp://wwwscrporg/joura/apm) Opmay of Dsrbued Coro for Hyperboc Sysems wh a Ife Number of Varabes Aham Hasa amo Deparme of
More information14. Poisson Processes
4. Posso Processes I Lecure 4 we roduced Posso arrvals as he lmg behavor of Bomal radom varables. Refer o Posso approxmao of Bomal radom varables. From he dscusso here see 4-6-4-8 Lecure 4 " arrvals occur
More information(1) Cov(, ) E[( E( ))( E( ))]
Impac of Auocorrelao o OLS Esmaes ECON 3033/Evas Cosder a smple bvarae me-seres model of he form: y 0 x The four key assumpos abou ε hs model are ) E(ε ) = E[ε x ]=0 ) Var(ε ) =Var(ε x ) = ) Cov(ε, ε )
More informationReliability and Sensitivity Analysis of a System with Warm Standbys and a Repairable Service Station
Ieraoa Joura of Operaos Research Vo. 1, No. 1, 61 7 (4) Reaby ad Sesvy Aayss of a Sysem wh Warm Sadbys ad a Reparabe Servce Sao Kuo-Hsug Wag, u-ju a, ad Jyh-B Ke Deparme of Apped Mahemacs, Naoa Chug-Hsg
More informationDistributed Subgradient Algorithm for Multi-Agent Convex Optimization with Global Inequality and Equality Constraints
Apped ad Copuaoa Maeacs 6; 5(5): 3-9 p://www.scecepubsggroup.co/j/ac do:.648/j.ac.655.5 ISS: 38-565 (Pr); ISS: 38-563 (Oe) Dsrbued Subgrade Agor for Mu-Age Cove Opzao w Goba Iequay ad Equay Cosras L ao,
More informationMarch 14, Title: Change of Measures for Frequency and Severity. Farrokh Guiahi, Ph.D., FCAS, ASA
March 4, 009 Tle: Chage of Measures for Frequecy ad Severy Farroh Guah, Ph.D., FCAS, ASA Assocae Professor Deare of IT/QM Zarb School of Busess Hofsra Uversy Hesead, Y 549 Eal: Farroh.Guah@hofsra.edu Phoe:
More informationReal-Time Systems. Example: scheduling using EDF. Feasibility analysis for EDF. Example: scheduling using EDF
EDA/DIT6 Real-Tme Sysems, Chalmers/GU, 0/0 ecure # Updaed February, 0 Real-Tme Sysems Specfcao Problem: Assume a sysem wh asks accordg o he fgure below The mg properes of he asks are gve he able Ivesgae
More informationMidterm Exam. Tuesday, September hour, 15 minutes
Ecoomcs of Growh, ECON560 Sa Fracsco Sae Uvers Mchael Bar Fall 203 Mderm Exam Tuesda, Sepember 24 hour, 5 mues Name: Isrucos. Ths s closed boo, closed oes exam. 2. No calculaors of a d are allowed. 3.
More informationDensity estimation. Density estimations. CS 2750 Machine Learning. Lecture 5. Milos Hauskrecht 5329 Sennott Square
Lecure 5 esy esmao Mlos Hauskrec mlos@cs..edu 539 Seo Square esy esmaos ocs: esy esmao: Mamum lkelood ML Bayesa arameer esmaes M Beroull dsrbuo. Bomal dsrbuo Mulomal dsrbuo Normal dsrbuo Eoeal famly Noaramerc
More informationMarch 23, TiCC TR Generalized Residue Codes. Bulgarian Academy of Sciences, Bulgaria and. TiCC, Tilburg University
Tburg cere for Creave Copug P.O. Bo 90 Tburg Uversy 000 LE Tburg, The Neherads hp://www.uv./cc Ea: cc@uv. Copyrgh S.M. Doduekov, A. Bojov ad A.J. va Zae 00. March, 00 TCC TR 00-00 Geerazed Resdue Codes
More informationTHE PUBLISHING HOUSE PROCEEDINGS OF THE ROMANIAN ACADEMY, Series A, OF THE ROMANIAN ACADEMY Volume 10, Number 2/2009, pp
THE PUBLIHING HOUE PROCEEDING OF THE ROMANIAN ACADEMY, eres A, OF THE ROMANIAN ACADEMY Volume 0, Number /009,. 000-000 ON ZALMAI EMIPARAMETRIC DUALITY MODEL FOR MULTIOBJECTIVE FRACTIONAL PROGRAMMING WITH
More informationDensity estimation III.
Lecure 4 esy esmao III. Mlos Hauskrec mlos@cs..edu 539 Seo Square Oule Oule: esy esmao: Mamum lkelood ML Bayesa arameer esmaes MP Beroull dsrbuo. Bomal dsrbuo Mulomal dsrbuo Normal dsrbuo Eoeal famly Eoeal
More informationSolution of Impulsive Differential Equations with Boundary Conditions in Terms of Integral Equations
Joural of aheacs ad copuer Scece (4 39-38 Soluo of Ipulsve Dffereal Equaos wh Boudary Codos Ters of Iegral Equaos Arcle hsory: Receved Ocober 3 Acceped February 4 Avalable ole July 4 ohse Rabba Depare
More informationReliability Equivalence of a Parallel System with Non-Identical Components
Ieraoa Mahemaca Forum 3 8 o. 34 693-7 Reaby Equvaece of a Parae Syem wh No-Ideca ompoe M. Moaer ad mmar M. Sarha Deparme of Sac & O.R. oege of Scece Kg Saud Uvery P.O.ox 455 Ryadh 45 Saud raba aarha@yahoo.com
More informationComparison of the Bayesian and Maximum Likelihood Estimation for Weibull Distribution
Joural of Mahemacs ad Sascs 6 (2): 1-14, 21 ISSN 1549-3644 21 Scece Publcaos Comarso of he Bayesa ad Maxmum Lkelhood Esmao for Webull Dsrbuo Al Omar Mohammed Ahmed, Hadeel Salm Al-Kuub ad Noor Akma Ibrahm
More informationOutline. Computer Networks: Theory, Modeling, and Analysis. Delay Models. Queuing Theory Framework. Delay Models. Little s Theorem
Oule Couer Newors: Theory, Modelg, ad Aalyss Guevara Noubr COM35, lecure 3 Delay Models Lle s Theore The M/M/ queug syse The M/G/ queug syse F, COM35 Couer Newors Lecure 3, F, COM35 Couer Newors Lecure
More informationOutline. Queuing Theory Framework. Delay Models. Fundamentals of Computer Networking: Introduction to Queuing Theory. Delay Models.
Oule Fudaeals of Couer Neworg: Iroduco o ueug Theory eadg: Texboo chaer 3. Guevara Noubr CSG5, lecure 3 Delay Models Lle s Theore The M/M/ queug syse The M/G/ queug syse F3, CSG5 Fudaeals of Couer Neworg
More information8. Queueing systems lect08.ppt S Introduction to Teletraffic Theory - Fall
8. Queueg sysems lec8. S-38.45 - Iroduco o Teleraffc Theory - Fall 8. Queueg sysems Coes Refresher: Smle eleraffc model M/M/ server wag laces M/M/ servers wag laces 8. Queueg sysems Smle eleraffc model
More informationA Second Kind Chebyshev Polynomial Approach for the Wave Equation Subject to an Integral Conservation Condition
SSN 76-7659 Eglad K Joural of forao ad Copug Scece Vol 7 No 3 pp 63-7 A Secod Kd Chebyshev olyoal Approach for he Wave Equao Subec o a egral Coservao Codo Soayeh Nea ad Yadollah rdokha Depare of aheacs
More informationKey words: Fractional difference equation, oscillatory solutions,
OSCILLATION PROPERTIES OF SOLUTIONS OF FRACTIONAL DIFFERENCE EQUATIONS Musafa BAYRAM * ad Ayd SECER * Deparme of Compuer Egeerg, Isabul Gelsm Uversy Deparme of Mahemacal Egeerg, Yldz Techcal Uversy * Correspodg
More informationFORCED VIBRATION of MDOF SYSTEMS
FORCED VIBRAION of DOF SSES he respose of a N DOF sysem s govered by he marx equao of moo: ] u C] u K] u 1 h al codos u u0 ad u u 0. hs marx equao of moo represes a sysem of N smulaeous equaos u ad s me
More informationThe ray paths and travel times for multiple layers can be computed using ray-tracing, as demonstrated in Lab 3.
C. Trael me cures for mulple reflecors The ray pahs ad rael mes for mulple layers ca be compued usg ray-racg, as demosraed Lab. MATLAB scrp reflec_layers_.m performs smple ray racg. (m) ref(ms) ref(ms)
More informationInput-to-state stability of switched nonlinear systems
Scece Cha Seres F: Iforao Sceces 28 SCIENCE IN CHINA PRESS Sprer www.sccha.co fo.sccha.co www.sprerk.co Ipu-o-sae saby of swched oear syses FENG We,2 & ZHANG JFe 2 Coee of Iforao Sceces ad Eeer, Shado
More informationAsymptotic Behavior of Solutions of Nonlinear Delay Differential Equations With Impulse
P a g e Vol Issue7Ver,oveber Global Joural of Scece Froer Research Asypoc Behavor of Soluos of olear Delay Dffereal Equaos Wh Ipulse Zhag xog GJSFR Classfcao - F FOR 3 Absrac Ths paper sudes he asypoc
More informationLeast Squares Fitting (LSQF) with a complicated function Theexampleswehavelookedatsofarhavebeenlinearintheparameters
Leas Squares Fg LSQF wh a complcaed fuco Theeampleswehavelookedasofarhavebeelearheparameers ha we have bee rg o deerme e.g. slope, ercep. For he case where he fuco s lear he parameers we ca fd a aalc soluo
More informationCoding Theorems on New Fuzzy Information Theory of Order α and Type β
Progress Noear yamcs ad Chaos Vo 6, No, 28, -9 ISSN: 232 9238 oe Pubshed o 8 February 28 wwwresearchmathscorg OI: http://ddoorg/22457/pdacv6a Progress Codg Theorems o New Fuzzy Iormato Theory o Order ad
More informationChapter 3: Maximum-Likelihood & Bayesian Parameter Estimation (part 1)
Aoucemes Reags o E-reserves Proec roosal ue oay Parameer Esmao Bomercs CSE 9-a Lecure 6 CSE9a Fall 6 CSE9a Fall 6 Paer Classfcao Chaer 3: Mamum-Lelhoo & Bayesa Parameer Esmao ar All maerals hese sles were
More informationThe Linear Regression Of Weighted Segments
The Lear Regresso Of Weghed Segmes George Dael Maeescu Absrac. We proposed a regresso model where he depede varable s made o up of pos bu segmes. Ths suao correspods o he markes hroughou he da are observed
More informationThe Mean Residual Lifetime of (n k + 1)-out-of-n Systems in Discrete Setting
Appled Mahemacs 4 5 466-477 Publshed Ole February 4 (hp//wwwscrporg/oural/am hp//dxdoorg/436/am45346 The Mea Resdual Lfeme of ( + -ou-of- Sysems Dscree Seg Maryam Torab Sahboom Deparme of Sascs Scece ad
More informationVoltage Sensitivity Analysis in MV Distribution Networks
Proceedgs of he 6h WSEAS/IASME I. Cof. o Elecrc Power Sysems, Hgh olages, Elecrc Maches, Teerfe, Spa, December 6-8, 2006 34 olage Sesvy Aalyss M Dsrbuo Neworks S. CONTI, A.M. GRECO, S. RAITI Dparmeo d
More informationExact Solutions of Axially Symmetric Bianchi Type-I Cosmological Model in Lyra Geometry
IOSR Joura of ed Physcs (IOSR-JP) e-issn: 78-86. Voume 5, Issue 6 (Ja. ), PP -5 ac Souos of ay Symmerc ach Tye-I Cosmooca Mode Lyra Geomery. sar, M. sar earme of Mahemacs, Norh-aser H Uversy, Permae Camus,
More informationFundamentals of Speech Recognition Suggested Project The Hidden Markov Model
. Projec Iroduco Fudameals of Speech Recogo Suggesed Projec The Hdde Markov Model For hs projec, s proposed ha you desg ad mpleme a hdde Markov model (HMM) ha opmally maches he behavor of a se of rag sequeces
More informationSUB-SEQUENCE INCIDENCE ANALYSIS WITHIN SERIES OF BERNOULLI TRIALS: APPLICATION IN CHARACTERIZATION OF TIME SERIES DYNAMICS RICHARD H. G.
SU-SEQUENCE INCIDENCE ANALYSIS WITHIN SERIES OF ERNOULLI TRIALS: APPLICATION IN CHARACTERIZATION OF TIME SERIES DYNAMICS Paer umber 04/07 RICHARD H. G. JACKSON * Uversy of Exeer UK Absrac Ths aer reses
More informationParameters Estimation in a General Failure Rate Semi-Markov Reliability Model
Joura of Saca Theory ad Appcao Vo. No. (Sepember ) - Parameer Emao a Geera Faure Rae Sem-Marov Reaby Mode M. Fahzadeh ad K. Khorhda Deparme of Sac Facuy of Mahemaca Scece Va-e-Ar Uvery of Rafaja Rafaja
More informationAdvanced Machine Learning
dvaced ache Learg Learg rahcal odels Learg full observed ad arall observed BN rc g Lecure 4 ugus 3 009 Readg: rc g rc g @ U 006-009 Iferece ad Learg BN descrbes a uque robabl dsrbuo P Tcal asks: Task :
More informationIntegral Equation Approach for Computing Green s Function on Doubly Connected Regions via the Generalized Neumann Kernel
Jura Teoog Fu paper Iegra Equao Approach for Compug Gree s Fuco o Douby Coeced Regos va he Geerazed Neuma Kere S Zuaha Aspo a* A Hassa ohamed urd ab ohamed S Nasser c Hamsa Rahma a a Deparme of ahemaca
More informationIntegral Equations and their Relationship to Differential Equations with Initial Conditions
Scece Refleco SR Vol 6 wwwscecereflecocom Geerl Leers Mhemcs GLM 6 3-3 Geerl Leers Mhemcs GLM Wese: hp://wwwscecereflecocom/geerl-leers--mhemcs/ Geerl Leers Mhemcs Scece Refleco Iegrl Equos d her Reloshp
More informationRedundancy System Fault Sampling Under Imperfect Maintenance
A publcao of CHEMICAL EGIEERIG TRASACTIOS VOL. 33, 03 Gues Edors: Erco Zo, Pero Barald Copyrgh 03, AIDIC Servz S.r.l., ISB 978-88-95608-4-; ISS 974-979 The Iala Assocao of Chemcal Egeerg Ole a: www.adc./ce
More informationAnalog of the Method of Boundary Layer Function for the Solution of the Lighthill s Model Equation with the Regular Singular Point
Aerca Joura of Maheacs a Sascs 3, 3(): 53-6 DOI: 593/as338 Aaog of he Meho of Bouary Layer Fuco for he Souo of he Lghh s Moe Equao wh he Reguar Sguar Po Kebay Ayuov Depare of Agebra a Geoery, Osh Sae Uversy,
More informationInternational Journal Of Engineering And Computer Science ISSN: Volume 5 Issue 12 Dec. 2016, Page No.
www.jecs. Ieraoal Joural Of Egeerg Ad Compuer Scece ISSN: 19-74 Volume 5 Issue 1 Dec. 16, Page No. 196-1974 Sofware Relably Model whe mulple errors occur a a me cludg a faul correco process K. Harshchadra
More informationInternational Journal of Computer & Organization Trends Volume 4 Issue 3 May to June 2014
Iteratoa Joura of Couter & Orgazato Treds Voue 4 Issue May to Jue 04 Mut_Obectve Sod Trasortato Probe wth Iterva Cost Source ad Dead Paraeters A.Nagaraa K.JeyaraaS.rsha Prabha Professor Deartet of Matheatcs
More informationExplicit Representation of Green s Function for Linear Fractional. Differential Operator with Variable Coefficients
KSU-MH--E-R-: Verso 3 Epc Represeo of Gree s uco for er rco ffere Operor w Vrbe Coeffces Mog-H K d Hog-Co O cu of Mecs K Sug Uvers Pogg P R Kore Correspodg uor e-: oogco@ooco bsrc We provde epc represeos
More informationQR factorization. Let P 1, P 2, P n-1, be matrices such that Pn 1Pn 2... PPA
QR facorzao Ay x real marx ca be wre as AQR, where Q s orhogoal ad R s upper ragular. To oba Q ad R, we use he Householder rasformao as follows: Le P, P, P -, be marces such ha P P... PPA ( R s upper ragular.
More informationNUMERICAL EVALUATION of DYNAMIC RESPONSE
NUMERICAL EVALUATION of YNAMIC RESPONSE Aalycal solo of he eqao of oo for a sgle degree of freedo syse s sally o ossble f he excao aled force or grod accelerao ü g -vares arbrarly h e or f he syse s olear.
More informationContinuous Time Markov Chains
Couous me Markov chas have seay sae probably soluos f a oly f hey are ergoc, us lke scree me Markov chas. Fg he seay sae probably vecor for a couous me Markov cha s o more ffcul ha s he scree me case,
More informationSherzod M. Mirakhmedov,
Approxao by ora dsrbuo for a sape su sapg whou repacee fro a fe popuao Ibrah B Mohaed Uversy of Maaya Maaysa ohaed@ueduy Sherzod M Mrahedov Isue of Maheacs Tashe shrahedov@yahooco Absrac A su of observaos
More informationIMPROVED PORTFOLIO OPTIMIZATION MODEL WITH TRANSACTION COST AND MINIMAL TRANSACTION LOTS
Vol.7 No.4 (200) p73-78 Joural of Maageme Scece & Sascal Decso IMPROVED PORTFOLIO OPTIMIZATION MODEL WITH TRANSACTION COST AND MINIMAL TRANSACTION LOTS TIANXIANG YAO AND ZAIWU GONG College of Ecoomcs &
More informationRATIO ESTIMATORS USING CHARACTERISTICS OF POISSON DISTRIBUTION WITH APPLICATION TO EARTHQUAKE DATA
The 7 h Ieraoal as of Sascs ad Ecoomcs Prague Sepember 9-0 Absrac RATIO ESTIMATORS USING HARATERISTIS OF POISSON ISTRIBUTION WITH APPLIATION TO EARTHQUAKE ATA Gamze Özel Naural pulaos bolog geecs educao
More informationFor the plane motion of a rigid body, an additional equation is needed to specify the state of rotation of the body.
The kecs of rgd bodes reas he relaoshps bewee he exeral forces acg o a body ad he correspodg raslaoal ad roaoal moos of he body. he kecs of he parcle, we foud ha wo force equaos of moo were requred o defe
More informationGeneralized Estimators Using Characteristics of Poisson distribution. Prayas Sharma, Hemant K. Verma, Nitesh K. Adichwal and *Rajesh Singh
Geeralzed Esaors Usg Characerscs of osso dsrbuo raas Shara, Hea K. Vera, Nesh K. Adchwal ad *Rajesh Sgh Depare of Sascs, Baaras Hdu Uvers Varaas(U..), Ida-5 * Corresdg auhor rsghsa@gal.co Absrac I hs arcle,
More informationONE APPROACH FOR THE OPTIMIZATION OF ESTIMATES CALCULATING ALGORITHMS A.A. Dokukin
Iero Jor "Iforo Theore & co" Vo 463 ONE PPROH FOR THE OPTIIZTION OF ETITE UTING GORITH Do rc: I h rce he ew roch for ozo of eo ccg gorh ggeed I c e ed for fdg he correc gorh of coexy he coex of gerc roch
More informationAvailable online at ScienceDirect. Procedia CIRP 63 (2017 ) The 50th CIRP Conference on Manufacturing Systems
Avaabe oe a www.scecedrec.com SceceDrec Proceda CIRP 63 (27 ) 242 247 The 5h CIRP Coferece o aufacur Sysems Reaby easureme for usae aufacur Sysems wh Faure Ieraco Lyu Xu a, *, Yahao Che a, Fore Brad a,
More informationAn Application of Generalized Entropy Optimization Methods in Survival Data Analysis
Joural of Moder Physcs, 017, 8, 349-364 hp://wwwscrporg/joural/jp ISSN Ole: 153-10X ISSN Pr: 153-1196 A Applcao of Geeralzed Eropy Opzao Mehods Survval Daa Aalyss Aladd Shalov 1, Cgde Kalahlparbl 1*, Sevda
More informationA Simple Representation of the Weighted Non-Central Chi-Square Distribution
SSN: 9-875 raoa Joura o ovav Rarch Scc grg a Tchoogy (A S 97: 7 Cr rgaao) Vo u 9 Sbr A S Rrao o h Wgh No-Cra Ch-Squar Drbuo Dr ay A hry Dr Sahar A brah Dr Ya Y Aba Proor D o Mahaca Sac u o Saca Su a Rarch
More informationLoad balancing by MPLS in differentiated services networks
Load baacg by MPLS dfferetated servces etworks Rkka Sustava Supervsor: Professor Jora Vrtao Istructors: Ph.D. Prkko Kuusea Ph.D. Sau Aato Networkg Laboratory 6.8.2002 Thess Sear o Networkg Techoogy 1 Cotets
More informationINTRODUCTION TO MACHINE LEARNING 3RD EDITION
ETHEM ALPAYDIN The MIT Press, 2014 Lecure Sdes for INTRODUCTION TO MACHINE LEARNING 3RD EDITION aaydn@boun.edu.r h://www.ce.boun.edu.r/~ehe/23e CHAPTER 7: CLUSTERING Searaerc Densy Esaon 3 Paraerc: Assue
More informationEstimation for Nonnegative First-Order Autoregressive Processes with an Unknown Location Parameter
Appe Maheacs 0 3 33-47 hp://oorg/0436/a03a94 Pubshe Oe Deceber 0 (hp://wwwscrporg/oura/a) Esao for Noegave Frs-Orer Auoregressve Processes wh a Uow Locao Paraeer Arew Bare Wa McCorc Uversy of Georga Ahes
More informationUnique Common Fixed Point of Sequences of Mappings in G-Metric Space M. Akram *, Nosheen
Vol No : Joural of Facult of Egeerg & echolog JFE Pages 9- Uque Coo Fed Pot of Sequeces of Mags -Metrc Sace M. Ara * Noshee * Deartet of Matheatcs C Uverst Lahore Pasta. Eal: ara7@ahoo.co Deartet of Matheatcs
More informationA Loss Allocation Mechanism for Power System Transactions
Bu Power Sysem Dyamcs ad Coro IV - esrucurg, Augus 4-8, Saor, Greece A Loss Aocao echasm for Power Sysem Trasacos George Gross Deparme of Eecrca ad Compuer Egeerg Uversy of Ios a Urbaa-Champag Urbaa, IL
More informationInterval Regression Analysis with Reduced Support Vector Machine
Ieraoal DSI / Asa ad Pacfc DSI 007 Full Paper (July, 007) Ierval Regresso Aalyss wh Reduced Suppor Vecor Mache Cha-Hu Huag,), Ha-Yg ao ) ) Isue of Iforao Maagee, Naoal Chao Tug Uversy (leohkko@yahoo.co.w)
More informationFALL HOMEWORK NO. 6 - SOLUTION Problem 1.: Use the Storage-Indication Method to route the Input hydrograph tabulated below.
Jorge A. Ramírez HOMEWORK NO. 6 - SOLUTION Problem 1.: Use he Sorage-Idcao Mehod o roue he Ipu hydrograph abulaed below. Tme (h) Ipu Hydrograph (m 3 /s) Tme (h) Ipu Hydrograph (m 3 /s) 0 0 90 450 6 50
More informationOptimal Control and Hamiltonian System
Pure ad Appled Maheacs Joural 206; 5(3: 77-8 hp://www.scecepublshggroup.co//pa do: 0.648/.pa.2060503.3 ISSN: 2326-9790 (Pr; ISSN: 2326-982 (Ole Opal Corol ad Haloa Syse Esoh Shedrack Massawe Depare of
More informationStabilization of LTI Switched Systems with Input Time Delay. Engineering Letters, 14:2, EL_14_2_14 (Advance online publication: 16 May 2007) Lin Lin
Egeerg Leers, 4:2, EL_4_2_4 (Advace ole publcao: 6 May 27) Sablzao of LTI Swched Sysems wh Ipu Tme Delay L L Absrac Ths paper deals wh sablzao of LTI swched sysems wh pu me delay. A descrpo of sysems sablzao
More informationA Recurrent Neural Network to Identify Efficient Decision Making Units in Data Envelopment Analysis
Avalable Ole a h://rm.srbau.ac.r Vol.1 No.3 Auum 15 Joural of Ne Researches Mahemacs Scece ad Research Brach (IAU) A Recurre Neural Neork o Idefy Effce Decso Makg Us Daa Evelome Aalyss A. Ghomash a G.
More informationContinuous Indexed Variable Systems
Ieraoal Joural o Compuaoal cece ad Mahemacs. IN 0974-389 Volume 3, Number 4 (20), pp. 40-409 Ieraoal Research Publcao House hp://www.rphouse.com Couous Idexed Varable ysems. Pouhassa ad F. Mohammad ghjeh
More informationConservation of Momentum. The purpose of this experiment is to verify the conservation of momentum in two dimensions.
Conseraion of Moenu Purose The urose of his exerien is o erify he conseraion of oenu in wo diensions. Inroducion and Theory The oenu of a body ( ) is defined as he roduc of is ass () and elociy ( ): When
More informationTechnical Appendix for Inventory Management for an Assembly System with Product or Component Returns, DeCroix and Zipkin, Management Science 2005.
Techc Appedx fo Iveoy geme fo Assemy Sysem wh Poduc o Compoe eus ecox d Zp geme Scece 2005 Lemm µ µ s c Poof If J d µ > µ he ˆ 0 µ µ µ µ µ µ µ µ Sm gumes essh he esu f µ ˆ > µ > µ > µ o K ˆ If J he so
More informationarxiv: v2 [math-ph] 3 Feb 2015
Nolocal ad global dyacs of cellular auoaa: A heorecal couer arhec for real couous as arxv:1312.6534v2 [ah-h] 3 Feb 2015 Vladr García-Morales 1 1 Isue for Advaced Sudy - Techsche Uversä Müche, Lchebergsr.
More informationHybrid vector similarity measure of single valued refined neutrosophic sets to multi-attribute decision making problems
Hybrd vecor smlary measure of sgle valued refed eurosohc ses o mul-arbue decso makg roblems Suraa ramak *, arha ram Dey, Bbhas C Gr 3 Dearme of Mahemacs, Nadalal Ghosh B College, aur, O- Narayaur, Dsrc
More informationDynamic Voltage and Frequency Scaling Under a Precise Energy Model Considering Variable and Fixed Components of the System Power Dissipation
Dyamc Volage ad requecy Scalg Uder a recse Eergy Model Cosderg Varable ad xed Compoes of he Sysem ower Dsspao ABSRAC hs paper preses a dyamc volage ad frequecy scalg (DVS) echque ha mmzes he oal sysem
More informationLeast squares and motion. Nuno Vasconcelos ECE Department, UCSD
Leas squares ad moo uo Vascocelos ECE Deparme UCSD Pla for oda oda we wll dscuss moo esmao hs s eresg wo was moo s ver useful as a cue for recogo segmeao compresso ec. s a grea eample of leas squares problem
More informationAsymptotic Regional Boundary Observer in Distributed Parameter Systems via Sensors Structures
Sesors,, 37-5 sesors ISSN 44-8 by MDPI hp://www.mdp.e/sesors Asympoc Regoal Boudary Observer Dsrbued Parameer Sysems va Sesors Srucures Raheam Al-Saphory Sysems Theory Laboraory, Uversy of Perpga, 5, aveue
More informationCONTRIBUTION OF KRAFT S INEQUALITY TO CODING THEORY
Pacfc-Asa Joura of Mathematcs, Voume 5, No, Jauary-Jue 20 CONTRIBUTION OF KRAFT S INEQUALITY TO COING THEORY OM PARKASH & PRIYANKA ABSTRACT: Kraft s equaty whch s ecessary ad suffcet codto for the exstece
More informationRandom Generalized Bi-linear Mixed Variational-like Inequality for Random Fuzzy Mappings Hongxia Dai
Ro Geeralzed B-lear Mxed Varaoal-lke Iequaly for Ro Fuzzy Mappgs Hogxa Da Depare of Ecooc Maheacs Souhweser Uversy of Face Ecoocs Chegdu 674 P.R.Cha Absrac I h paper we roduce sudy a ew class of ro geeralzed
More informationSolving fuzzy linear programming problems with piecewise linear membership functions by the determination of a crisp maximizing decision
Frs Jo Cogress o Fuzzy ad Iellge Sysems Ferdows Uversy of Mashhad Ira 9-3 Aug 7 Iellge Sysems Scefc Socey of Ira Solvg fuzzy lear programmg problems wh pecewse lear membershp fucos by he deermao of a crsp
More informationThe Properties of Probability of Normal Chain
I. J. Coep. Mah. Sceces Vol. 8 23 o. 9 433-439 HIKARI Ld www.-hkar.co The Properes of Proaly of Noral Cha L Che School of Maheacs ad Sascs Zheghou Noral Uversy Zheghou Cy Hea Provce 4544 Cha cluu6697@sa.co
More informationDetermination of Antoine Equation Parameters. December 4, 2012 PreFEED Corporation Yoshio Kumagae. Introduction
refeed Soluos for R&D o Desg Deermao of oe Equao arameers Soluos for R&D o Desg December 4, 0 refeed orporao Yosho Kumagae refeed Iroduco hyscal propery daa s exremely mpora for performg process desg ad
More informationUpper Bound For Matrix Operators On Some Sequence Spaces
Suama Uer Bou formar Oeraors Uer Bou For Mar Oeraors O Some Sequece Saces Suama Dearme of Mahemacs Gaah Maa Uersy Yogyaara 558 INDONESIA Emal: suama@ugmac masomo@yahoocom Isar D alam aer aa susa masalah
More informationCOMPARISON OF ESTIMATORS OF PARAMETERS FOR THE RAYLEIGH DISTRIBUTION
COMPARISON OF ESTIMATORS OF PARAMETERS FOR THE RAYLEIGH DISTRIBUTION Eldesoky E. Affy. Faculy of Eg. Shbee El kom Meoufa Uv. Key word : Raylegh dsrbuo, leas squares mehod, relave leas squares, leas absolue
More informationLinear Regression Linear Regression with Shrinkage
Lear Regresso Lear Regresso h Shrkage Iroduco Regresso meas predcg a couous (usuall scalar oupu from a vecor of couous pus (feaures x. Example: Predcg vehcle fuel effcec (mpg from 8 arbues: Lear Regresso
More informationInterval Estimation. Consider a random variable X with a mean of X. Let X be distributed as X X
ECON 37: Ecoomercs Hypohess Tesg Iervl Esmo Wh we hve doe so fr s o udersd how we c ob esmors of ecoomcs reloshp we wsh o sudy. The queso s how comforble re we wh our esmors? We frs exme how o produce
More informationQuantum Mechanics II Lecture 11 Time-dependent perturbation theory. Time-dependent perturbation theory (degenerate or non-degenerate starting state)
Pro. O. B. Wrgh, Auum Quaum Mechacs II Lecure Tme-depede perurbao heory Tme-depede perurbao heory (degeerae or o-degeerae sarg sae) Cosder a sgle parcle whch, s uperurbed codo wh Hamloa H, ca exs a superposo
More informationExistence of Nonoscillatory Solutions for a Class of N-order Neutral Differential Systems
Vo 3 No Mod Appd Scc Exsc of Nooscaoy Souos fo a Cass of N-od Nua Dffa Sysms Zhb Ch & Apg Zhag Dpam of Ifomao Egg Hua Uvsy of Tchoogy Hua 4 Cha E-ma: chzhbb@63com Th sach s facd by Hua Povc aua sccs fud
More informationмодель, показатель Херста
Easer-Euroea Joural of Eerrse Techologes ISSN 729-3774 /4 ( 9 ) 208 23 Neural cres ad esoder leage-deede gee exresso orofacal develoe / haacheree V Mukhoadhyay P Sgh S Johso C Phlose J T Warer C P e al
More informationθ = θ Π Π Parametric counting process models θ θ θ Log-likelihood: Consider counting processes: Score functions:
Paramerc coug process models Cosder coug processes: N,,..., ha cou he occurreces of a eve of eres for dvduals Iesy processes: Lelhood λ ( ;,,..., N { } λ < Log-lelhood: l( log L( Score fucos: U ( l( log
More informationResearch on portfolio model based on information entropy theory
Avalable ole www.jocpr.com Joural of Chemcal ad Pharmaceucal esearch, 204, 6(6):286-290 esearch Arcle ISSN : 0975-7384 CODEN(USA) : JCPC5 esearch o porfolo model based o formao eropy heory Zhag Jusha,
More informationMoments of Order Statistics from Nonidentically Distributed Three Parameters Beta typei and Erlang Truncated Exponential Variables
Joural of Mahemacs ad Sascs 6 (4): 442-448, 200 SSN 549-3644 200 Scece Publcaos Momes of Order Sascs from Nodecally Dsrbued Three Parameers Bea ype ad Erlag Trucaed Expoeal Varables A.A. Jamoom ad Z.A.
More informationAbstract. 1. Introduction
Joura of Mathematca Sceces: Advaces ad Appcatos Voume 4 umber 2 2 Pages 33-34 COVERGECE OF HE PROJECO YPE SHKAWA ERAO PROCESS WH ERRORS FOR A FE FAMY OF OSEF -ASYMPOCAY QUAS-OEXPASVE MAPPGS HUA QU ad S-SHEG
More informationThe textbook expresses the stock price as the present discounted value of the dividend paid and the price of the stock next period.
ublc Affars 974 Meze D. Ch Fall Socal Sceces 748 Uversy of Wscos-Madso Sock rces, News ad he Effce Markes Hypohess (rev d //) The rese Value Model Approach o Asse rcg The exbook expresses he sock prce
More informationEfficient and expressive fully secure attribute-based signature in the standard model
Edh Cowa Uversy Research Oe Ausraa Iformao Secury Maageme Coferece Cofereces, Symosa ad Camus Eves 2011 Effce ad eressve fuy secure arbue-based sgaure he sadard mode Py Yag Uversy of Shagha for Scece ad
More informationModel for Optimal Management of the Spare Parts Stock at an Irregular Distribution of Spare Parts
Joural of Evromeal cece ad Egeerg A 7 (08) 8-45 do:0.765/6-598/08.06.00 D DAVID UBLIHING Model for Opmal Maageme of he pare ars ock a a Irregular Dsrbuo of pare ars veozar Madzhov Fores Research Isue,
More informationInternational Journal of Scientific & Engineering Research, Volume 3, Issue 10, October ISSN
Ieraoal Joural of cefc & Egeerg Research, Volue, Issue 0, Ocober-0 The eady-ae oluo Of eral hael Wh Feedback Ad Reegg oeced Wh o-eral Queug Processes Wh Reegg Ad Balkg ayabr gh* ad Dr a gh** *Assoc Prof
More informationFault Tolerant Computing. Fault Tolerant Computing CS 530 Probabilistic methods: overview
Probably 1/19/ CS 53 Probablsc mehods: overvew Yashwa K. Malaya Colorado Sae Uversy 1 Probablsc Mehods: Overvew Cocree umbers presece of uceray Probably Dsjo eves Sascal depedece Radom varables ad dsrbuos
More informationBroadband Constraint Based Simulated Annealing Impedance Inversion
Joural of Comuaoal Scece & Egeerg 8 (213) 3-34 Joural of Comuaoal Scece & Egeerg Avalable a h://wwwasocseorg SSN 171-468 Broadbad Cosra Based Smulaed Aealg medace verso Guagxua Che 1, a, Yahu Du 1,b, Pae
More informationThe High-Order Symplectic Finite-Difference Time-Domain Scheme
We.I. ha Xaag Wu Zhag uag ad Mgsheg Che The The gh-order gh-order pecc pecc Fe-Dfferece Fe-Dfferece Te-Doa Te-Doa cheechee 47 Passve Mcrowave Copoes ad Aeas Va Zhurbeo d. IBN: 978-95-7-8-4 INTC. X The
More information