OPTIMAL DG PLACEMENT FOR MAXIMUM LOSS REDUCTION IN RADIAL DISTRIBUTION SYSTEM USING ABC ALGORITHM
|
|
- Cynthia Stafford
- 6 years ago
- Views:
Transcription
1 teratoal Joural of Revews Computg JRC & LLS. All rghts reserved. JRC SSN: E-SSN: OPTMAL PLACEMENT FOR MAXMUM LOSS REDUCTON N RADAL DSTRBUTON SYSTEM USNG ABC ALGORTHM M.PADMA LALTHA,N.SNARAM REDDY V.C. VEERA REDDY 3 EEE Member,HOD, Departmet of Electrcal & Electrocs Egeerg,Aamacharya sttute Of Techoology & Sceces, Rajampet, A.P. Tel# HOD, Departmet Of Mechacal Egeerg,Aamacharya sttute Of Techoology & Sceces, Rajampet, A.P. Tel# Electrcal & Electrocs Egeerg Dept, S.V.U.C.E,S.V.Uversty,Trupath, A.P E-mal: padmalaltha_mareddy@yahoo.co., sva.arapureddy@gmal.com, veerareddy_vc@yahoo.com ABSTRACT Dstrbuted Geerato () s a promsg soluto to may power system problems such as voltage regulato, power loss, etc. Ths paper presets a ew methodology usg a ew populato based meta heurstc approach amely Artfcal Bee Coloy algorthm(abc) for the placemet of Dstrbuted Geerators() the radal dstrbuto systems to reduce the real power losses ad to mprove the voltage profle. A two-stage methodology s used for the optmal placemet. the frst stage, sgle placemet method s used to fd the optmal locatos ad the secod stage, ABC algorthm s used to fd the szes of the s correspodg to maxmum loss reducto. The proposed method s tested o stadard EEE 33-bus test system ad the results are preseted ad compared wth dfferet approaches avalable the lterature. The proposed method has outperformed the other methods terms of the qualty of soluto ad computatoal effcecy. Keywords : placemet, Meta heurstc methods, ABC Algorthm, loss reducto, radal dstrbuto system.. NTRODUCTON Dstrbuted geerato s small-scale power geerato that s usually coected to or embedded the dstrbuto system. The term also mples the use of ay modular techology that s sted throughout a utlty s servce to lower the cost of servce []. The beefts of are umerous [, 3] ad the reasos for mplemetg s are ratoal use of eergy, deregulato polcy, dversfcato of eergy sources, ease of fdg stes for smaller geerators, shorter costructo tmes ad lower captal costs of smaller plats ad proxmty of the geerato plat to heavy loads. The reducto gaseous emssos (maly CO) offered by s s major legal drver for mplemetato [4]. Numerous studes used dfferet approaches to evaluate the beefts from s to a etwork the form of loss reducto, loadg level reducto [6-8]. Naresh Acharya et al suggested a heurstc method [9] to select approprate locato ad to calculate sze for mmum real power losses. Though the method s effectve selectg locato, t requres more computatoal efforts as heurstc search requres exhaustve search for all possble locatos whch may ot be applcable to more tha oe. Ths method uses approxmate loss formula whch may lead to approprate soluto. the lterature, geetc algorthm ad PSO have bee appled to placemet [0-3]. all these works both szg ad locato of s are determed. Ths paper presets a ew methodology usg ABC algorthm[4-7] for the placemet of the radal dstrbuto systems. The ABC algorthm s a ew populato based meta heurstc approach spred by tellget foragg behavor of hoeybee swarm. The advatage of ABC algorthm s that t does ot requre exteral parameters such as cross over rate ad mutato rate as case of geetc 44
2 teratoal Joural of Revews Computg JRC & LLS. All rghts reserved. JRC SSN: E-SSN: algorthm ad dfferetal evoluto. The other advatage s that the global search ablty s mplemeted by troducg eghborhood source producto mechasm whch s smlar to mutato process. ths paper, locatos of dstrbuted geerators are detfed by sgle placemet method[8] ad ABC algorthm whch takes the umber ad locato of s as put has bee developed to determe the optmal sze(s) of to mmze real power losses dstrbuto systems. The advatages of relevg ABC method from determato of locatos of s are mproved covergece characterstcs ad less computato tme. Voltage ad thermal costrats are cosdered. The algorthm was tested o 33-Bus Dstrbuto System [9].To demostrate the effectveess of proposed method, results are compared wth dfferet approaches avalable the lterature.. THEORETCAL BACKGROUND The total R loss dstrbuto system havg umber of braches s gve by: P Lt = = R () Here s the magtude of the brach curret ad R s resstace of the th brach respectvely. The brach curret has two compoets, actve compoet ( ) ad reactve compoet ( ). The a r loss assocated wth the actve ad reactve compoets of brach currets ca be wrtte as: P P Lr = = = = a r R R () (3) For a gve cofgurato of a sgle-source radal etwork, the loss P caot be mmzed because all actve power must be suppled by the source. However by placg s, ths loss ca be reduced. Ths paper presets a method to mmze ths loss by placg s ad thereby reduces the total loss the dstrbuto system. 3. DENTFCATON OF OPTMAL LOCATONS BY SNGLE PLACEMENT ALGORTHM Ths algorthm determes the optmal sze ad locato of uts that should be placed the system to mmze loss. Frst optmum szes of uts for all odes are determed for base case ad best oe s chose based o the maxmum loss savg. Ths process s repeated f multple locatos are requred by modfyg the base system by sertg a ut to the system oe-by-oe. 3.. Methodology Assume that a sgle-source radal dstrbuto system wth braches ad a s to be placed at bus m ad α be a set of braches coected betwee the source ad bus m. The produces actve curret, ad for a radal etwork t chages oly the actve compoet of curret of brach set α. The currets of other braches are uaffected. Thus ew actve curret ew a of the th brach s gve by ew a = a + D (4) where D = ; f brach α = 0; otherwse The loss P com assocated wth the actve compoet of brach currets ew system (whe s coected) s gve by com P = ( a + D ) R (5) = The savg S s the dfferece betwee equato 3 ad 5 ad s gve by com S = P P = = (D a + D c ) R (6) The curret that provdes maxmum savg ca be obtaed from S = = ( D a + D ) R (7) The curret for maxmum savg s = = = D a D R = α α The correspodg sze s P = V m (9) R a R R = 0 (8) 45
3 teratoal Joural of Revews Computg JRC & LLS. All rghts reserved. JRC SSN: E-SSN: V m s voltage magtude of bus-m. The optmum sze of at each bus s determed usg eq (9). The savg for each s determed usg eq (6).The wth hghest savg s caddate locato for sgle placemet. Whe the caddate bus s detfed ad s placed, the process s repeated to detfy subsequet buses for placemet. 3.. Algorthm for Sgle Placemet Step : Coduct load flow aalyss for the orgal system. Step : Calculate ad sze usg equatos 8 & 9 for buses =. Step 3: Determe savg usg equato 6, for buses =. Step 4: detfy the maxmum savg ad the correspodg sze. Step5: The correspodg bus s caddate bus where ca be placed. Modfy the actve load at ths bus ad coduct the load flow aga. Step 6: Check whether the savg obta s more tha kw. f yes, go to step. Otherwse, go to ext step. Step 7: prt all the caddate locatos to place sources ad the szes. Sce the s are added to the system oe by oe, the szes obtaed by sgle placemet algorthm are local optma ot global optmum soluto. The global optmal soluto s obtaed f multple s are smultaeously placed the system by usg ABC algorthm. Ths method s explaed ext secto. 4. DENTFCATON OF OPTMAL SZES BY ABC ALGORTHM 4.. ABC Algorthm The coloy of artfcal bees cotas three groups of bees: employed bees, olookers ad scouts. A bee watg o the dace area for makg decso to choose food source s called a olooker ad a bee gog to the food source vsted by t prevously s amed employed bee. A bee carryg out radom search s called scout. the ABC algorthm, frst half of the coloy cossts of employed artfcal bees ad the secod half costtutes the olookers. For every food source, there s oly oe employed bee. The employed bee whose food source s exhausted by the employed ad olooker bees becomes a scout. At talzato stage, a set of food source postos are radomly selected by the bees ad ther ectar amouts are determed. These bees come to hve ad share the ectar formato of sources wth the bees watg o the dace area wth the hve. After sharg the formato, every employed bee goes to the food source area vsted by her at the prevous cycle sce that food source exsts her memory, ad the chooses a ew food source by meas of vsual formato the eghborhood of the preset oe. The a olooker prefers a food source area depedg o the ectar formato dstrbuted by the employed bees o the dace area. As the ectar amout of a food source creases, the probablty wth whch that food source s chose by a olooker creases, too. After arrvg at the selected area, employed bee chooses a ew food source the eghborhood of the oe the memory depedg o vsual formato. Vsual formato s based o the comparso of food source postos. Whe the ectar of a food source s abadoed by the bees, a ew food source s radomly determed by a scout bee ad replaced wth the abadoed oe. ths model, at each cycle oe scout goes outsde for searchg a ew food source ad the umber of employed ad olooker bees were equal. The probablty P of selectg a food source s determed by usg..(0) where ft s ftess of the soluto represeted by food source ad S N s total umber of food sources. After all olookers have selected ther food sources, each of them determes a food source the eghborhood of hs chose food source ad computes ts ftess. The best food source amog all the eghborg food sources determed by the olookers assocated wth a partcular food source wll be the ew locato of the food source. f a soluto represeted by a partcular food source does ot mprove for a predetermed umber of teratos the that food source s abadoed by ts assocated employed bee ad t becomes a scout. Ths tatamout to assgg a radomly geerated food source to ths scout ad chagg ts status aga from scout to employed. After the ew locato of each food source s determed, aother terato of ABC algorthm begs. The whole process s repeated aga ad aga tll the termato codto s satsfed. The food source the eghborhood of a partcular food source s determed by alterg the value of oe radomly chose soluto parameter ad keepg other parameters uchaged. Suppose each 46
4 teratoal Joural of Revews Computg JRC & LLS. All rghts reserved. JRC SSN: E-SSN: soluto cossts of d parameters ad let X = (X, X, X 3 X d ) be a soluto.. order to determe a soluto v eghborhood of X, a soluto parameter j ad other soluto X k =(X k, X k, X k3 X kd ) are selected radomly. Except for the values of the selected parameter j, all other parameter values of v are same as X,.e.,v=( X, X X (j-), X j, X (j+), X d ). The value v of the selected parameter j v s determed by.() where u s a uform varate [-, ]. f the resultg value falls outsde the acceptable rage of j, t s set to the correspodg extreme value that rage. 4.. ABC Algorthm to fd szes The proposed ABC algorthm for fdg szes of s at selected locatos to mmze the real power loss s as follows:. Read the put data.. Costruct tal Bee populato X j as each bee s formed by szes of uts 3. Evaluate ftess value for each employed bee by the formula..() 4. talze terato=. 5. Geerate ew populato (soluto) v j the eghborhood of X j for employed bees usg equato () ad evaluate them. 6. Apply selecto process betwee X ad v. 7. Calculate the probablty values P for the solutos X by meas of ther ftess values usg the equato (0). 8. Produce the ew populatos v for the olookers from the populatos X, selected depedg o P by applyg roulette wheel selecto process, ad evaluate them. 9. Apply selecto process for the olookers betwee X ad v. 0. Determe the abadoed soluto, f exsts, ad replace t wth a ew radomly produced soluto X for the scout bees usg the followg equato (3). Memorze the best soluto acheved so far. f the dfferece betwee two successve values s less tha specfed value stop.. crease the terato umber by oe. 3. f teratos are less tha specfed go to step 5, otherwse stop. 5. RESULTS AND DSCUSSON Frst load flow s coducted for EEE 33-bus test system. The power loss due to actve compoet of curret s kw ad power loss due to reactve compoet of the curret s kw. A program s wrtte MATLAB to mplemet sgle placemet algorthm. For the frst terato the maxmum savg s occurrg at bus 6. The caddate locato for s bus 6 wth a loss savg of 9.75 kw. The optmum sze of at bus 6 s.4886 MW. By assumg.4886 MW s coected at bus 6 of base system ad s cosdered as base case. Now the caddate locato s bus 5wth MW sze ad the loss savg s.4385 KW. Ths process s repeated tll the loss savg s sgfcat. The results are show Table. Table :Sgle placemet results terato No. (MW) Sze Savg (KW) The caddate locatos for placemet are take from sgle placemet algorthm.e. 6,5,5,3.Wth these locatos, szes of s correspodg to global soluto are determed by usg ABC Algorthm descrbed secto 4. The szes of s are depedet o the umber of locatos. Geerally t s ot possble to stall may s a gve radal system. Here 4 cases are cosdered. case oly oe stallato s assumed. case two s, case three S ad the last case four s are assumed to be stalled. szes the four optmal locatos, total real power losses before ad after stallato for four cases are gve Table.. 47
5 teratoal Joural of Revews Computg JRC & LLS. All rghts reserved. JRC SSN: E-SSN: Case bus locatos szes(mw) Table : Results of EEE 33 bus system Total Sze(MW) V losses before stallato (Kw) loss after stallato (Kw) savg(kw) savg/ sze The last colum Table represets the savg Kw for MW stallato. The case wth greater rato s desrable. As the umber of s stalled s creasg the savg s also creasg. case4 maxmum savg s acheved but the umber of s are four. Though case4 s optmal t s ot ecoomcal by cosderg the Table shows % mprovemets power loss due to actve compoet of brach curret, reactve compoet of brach curret ad total actve power loss of the system the four cases cosdered. The loss due to actve compoet of cost of stallato of 4 s. But vew of relablty, qualty ad future expaso of the system t s the best soluto. The voltage profle for all cases s show Fgure. all the cases voltage profle s mproved ad the mprovemet s sgfcat. brach curret s reduced by more tha 68% least ad early 96% at best. From Table t s observed that the total real power loss s reduced by 48.5% case ad 67% case 4. Voltage Magtude(p.u) Voltage Magtude(p.u) 0.95 Case Case Voltage Magtude(p.u) Voltage Magtude(p.u) 0.95 Case Case V Fg.:Voltage profle wth ad wthout placemet for all Cases 48
6 teratoal Joural of Revews Computg JRC & LLS. All rghts reserved. JRC SSN: E-SSN: Table :Loss reducto by placemet case No. P (kw) % Savg P Lr (kw) % Savg P Lt (kw) % Savg Base case Case Case Case Case The covergece characterstcs of ABC algorthm for all cases are show fgure. Real Power Loss(Kw) Real Power Loss(Kw) case terato umber case terato Number Real Power Loss(Kw) Real Power Loss(Kw) case terato Number Case V terato Number Fgure : Covergece characterstc of ABC algorthm for 33-bus test system. 49
7 teratoal Joural of Revews Computg JRC & LLS. All rghts reserved. JRC SSN: E-SSN: Comparso Performace To demostrate the valdty of the proposed method the results of proposed method s compared wth a exstg aalytcal method. The comparso s show Table V. Table V: Comparso betwee proposed method ad other exstg method. szes(mw) Total Sze(Mw) savg(kw) Bus Case No PM AM PM AM PM AM Savgs by ABC algorthm are a lttle hgher tha the exstg aalytcal method. The reaso for ths s aalytcal method approxmate loss formula s used. Table V shows comparso of voltage profle mprovemet by the two methods. The mmum voltage ad % mprovemet mmum voltage compared to base case for all the four cases, for the two methods dscussed, are show the Table V. From the above tables t s clear that beyod producg the results that matches wth those of exstg method, proposed method has the added advatage of easy mplemetato of real tme costrats o the system lke tme varyg loads, dfferet types of uts etc., to effectvely apply t to real tme operato of a system. To demostrate the supremacy of the proposed method the results are compared wth the results of PSO algorthm as show Table V. Both methods gves same szes for s for all cases.though the umber of teratos are more for ABC algorthm t takes less computato tme because of ts smplcty whe compared to PSO method. Table V: Comparso of Voltage mprovemet case No. Base case case case case3 case4 M Voltage % mprovemet PM AM PM AM
8 teratoal Joural of Revews Computg JRC & LLS. All rghts reserved. JRC SSN: E-SSN: Table V: Comparso of results of ABC ad PSO algorthms Case Case Case Case V ABC PSO ABC PSO ABC PSO ABC PSO locatos szes Swarm sze Avg. No. of teratos Avg. tme(sec.) CONCLUSONS ths paper, a two-stage methodology of fdg the optmal locatos ad szes of s for maxmum loss reducto of radal dstrbuto systems s preseted. Sgle placemet method s proposed to fd the optmal locatos ad ABC algorthm s proposed to fd the optmal szes. The valdty of the proposed method s proved from the comparso of the results of the proposed method wth other exstg methods. The results proved that the ABC algorthm s smple ature tha GA ad PSO so t takes less computato tme. By stallg s at all the potetal locatos, the total power loss of the system has bee reduced drastcally ad the voltage profle of the system s also mproved. cluso of the real tme costras such as tme varyg loads ad dfferet types of uts ad dscrete ut szes to the proposed algorthm s the future scope of ths work. REFERENCES []. G. Cell ad F. Plo, Optmal dstrbuted geerato allocato MV dstrbuto etworks, Power dustry Computer Applcatos, 00. Pca 00. ovatve Computg For Power - Electrc Eergy Meets The Market. d EEE Power Egeerg Socety teratoal Coferece,May 00,pp []. P. Chradeja, R. Ramakumar, A approach to quatfy the techcal beefts of dstrbuted geerato EEE Tras Eergy Coverso,vol.9, o.4,pp ,004. [3]. R.E. Brow, J. Pa, X. Feg, ad K. Koutlev, Stg dstrbuted geerato to defer T&D expaso, Proc. EE. Ge, Tras ad Dst,vol., pp.5-59,997. [4]. E. Daz-Dorado, J. Cdras, E. Mguez, Applcato of evolutoary algorthms for the plag of urba dstrbuto etworks of medum voltage, EEE Tras. Power Systems, vol.7,o.3, pp ,aug 00. [5]. M. Mardaeh, G. B. Gharehpeta, Stg ad szg of uts usg GA ad OPF based techque, TENCON. EEE Rego 0 Coferece,vol.3,pp ,- 4,Nov.004. [6]. Slvestr A.Berzz, S.Buoao, Dstrbuted geerato plag usg geetc algorthms Electrc Power Egeerg, Power Tech Budapest 99, ter. Coferece, pp.57,999. [7]. Naresh Acharya, Pukar Mahat, N. Mthulaatha, A aalytcal approach for allocato prmary dstrbuto etwork, Electrc Power ad Eergy Systems,vol.8,pp , 006 5
9 teratoal Joural of Revews Computg JRC & LLS. All rghts reserved. JRC SSN: E-SSN: [8]. G.Cell,E.Gha,S.Mocc ad F.Plo, A mult objectve evolutoary algorthm for the szg ad sttg of dstrbuted geerato, EEE Trasactos o power systems, vol.0,o.,pp ,may 005. [9]. G.Carpell,G.Cell, S.Mocc ad F.Plo, Optmzato of embedded szg ad sttg by usg a double trade-off method, EE proceedg o geerato, trasmsso ad dstrbuto,vol.5,o.4, pp , 005. [0]. C.L.T.Borges ad D.M.Falcao, Optmal dstrbuted geerato allocato for relablty,losses ad voltage mprovemet, teratoal joural of power ad eergy systems,vol.8.o.6,pp.43-40,july 006. []. Wcht Krueasuk ad Weerakor Ogsakul, Optmal Placemet of Dstrbuted Geerato Usg Partcle Swarm Optmzato,M.Tech Thess,AT,Thalad. []. B. Basturk, D. Karaboga, A artfcal bee coloy (ABC) algorthm for umerc fucto optmzato, EEE Swarm tellgece Symposum 006, May 4,daapols,N,USA, 006. [3]. D. Karaboga, B. Basturk, A powerful ad effcet algorthm for umercal fucto optmzato: artfcal bee coloy (ABC) algorthm, Joural of Global Optmzato,Vol. 39, pp ,007. [4]. D. Karaboga, B. Basturk, O the performace of artfcal bee coloy algorthm, Appled Soft Computg Vol.8,pp ,008. [5]. M.Padma ltha,v.c.veera Reddy, N.Usha Optmal placemet for maxmum loss reducto radal dstrbuto system teratoal joural of emergg techologes ad applcatos egeerg, techology ad sceces,vol.,ssue-,july-dec 009,pp [6]. M.E.Bara ad F. F.Wu, Network recofgurato dstrbuto systems for loss reducto ad load balacg, EEE Trasactos o Power Delvery,Vol.4, No. Apr 989, pp
A Two Stage Methodology for Siting and Sizing of DG for Minimum Loss in Radial Distribution System using RCGA
teratoal Joural of Computer Applcatos (0975 8887) Volume 5 No., July 0 A Two Stage Methodology for Stg ad Szg of for Mmum Loss adal Dstrbuto System usg CGA Dr.M.adma ltha EEE Member rofessor & HOD Dept.
More informationOptimal Location and Size of Distributed Generation in Distribution System by Artificial Bees Colony Algorithm
teratoal Joural o ormato ad Electrocs Egeerg, Vol. 3, No., Jauary 03 Optmal Locato ad Sze o Dstrbuted Geerato Dstrbuto System by Artcal Bees Coloy Algorthm Nguye Tug Lh ad Dam Xua Dog Abstract Dstrbuted
More informationThe optimization of emergency resource-mobilization based on harmony search algorithm
Avalable ole www.ocpr.com Joural of Chemcal ad Pharmaceutcal Research, 04, 6(7):483-487 Research Artcle ISS : 0975-7384 CODE(USA) : JCPRC5 The optmzato of emergecy resource-moblzato based o harmoy search
More informationAvailable online at (Elixir International Journal) Electrical Engineering. Elixir Elec. Engg. 37 (2011)
3908 Belal Mohammad Kalesar et al./ Elxr Elec. Egg. 37 (0) 3908-395 Avalable ole at www.elxrpublshers.com (Elxr Iteratoal Joural) Electrcal Egeerg Elxr Elec. Egg. 37 (0) 3908-395 Optmal substato placemet
More informationSwitching Angle Design for Pulse Width Modulation AC Voltage Controller Using Genetic Algorithm and Distributed Artificial Neural Network
Swtchg Agle Desg for Pulse Wdth Modulato AC Voltage Cotroller Usg Geetc Algorthm ad Dstrbuted Artfcal Neural Network Pattarapor Jtta, Somyot Katwadvla ad Atthapol Ngaoptakkul Abstract. Ths paper proposes
More informationOPTIMAL BUS DISPATCHING POLICY UNDER VARIABLE DEMAND OVER TIME AND ROUTE LENGTH
OPTIMAL BUS DISPATCHING POLICY UNDER VARIABLE DEMAND OVER TIME AND ROUTE LENGTH Amal S. Kumarage, Professor of Cvl Egeerg, Uversty of Moratuwa, Sr Laka H.A.C. Perera, Cetral Egeerg Cosultacy Bureau, Sr
More informationA New Mathematical Model for a Redundancy Allocation Problem with Mixing Components Redundant and Choice of Redundancy Strategies
Appled Mathematcal Sceces, Vol, 2007, o 45, 222-2230 A New Mathematcal Model for a Redudacy Allocato Problem wth Mxg Compoets Redudat ad Choce of Redudacy Strateges R Tavakkol-Moghaddam Departmet of Idustral
More informationSAIDI MINIMIZATION OF A REMOTE DISTRIBUTION FEEDER. Kai Zou, W. W. L. Keerthipala and S. Perera
SAIDI INIIZATIN F A RETE DISTRIBUTIN FEEDER Ka Zou, W. W.. Keerthpala ad S. Perera Uversty of Wollogog School of Electrcal ad Computer Telecommucato Egeerg Wollogog, NSW 2522, Australa Abstract Dstrbuto
More informationShort Note: Merging Secondary Variables for Geophysical Data Integration
Short Note: Mergg Secodary Varables for Geophyscal Data Itegrato Steve Lyster ad Clayto V. Deutsch Departmet of Cvl & Evrometal Egeerg Uversty of Alberta Abstract Multple secodary data from geophyscal
More informationLECTURE 4 QUANTITATIVE MODELS FOR FACILITY LOCATION: SERVICE FACILITY ON A LINE OR ON A PLANE
LECTUE 4 QUANTITATIVE MODELS FO FACILITY LOCATION: SEVICE FACILITY ON A LINE O ON A PLANE Learg objectve 1. To demostrate the quattatve approach to locate faclt o a le ad o a plae 6.10 Locatg Faclt o a
More informationModule 6. Channel Coding. Version 2 ECE IIT, Kharagpur
Module 6 Chael Codg Lesso 36 Coded Modulato Schemes After readg ths lesso, you wll lear about Trells Code Modulato; Set parttog TCM; Decodg TCM; The modulated waveform a covetoal ucoded carrer modulato
More informationEvolutionary Algorithm With Experimental Design Technique
Evolutoary Algorthm Wth Expermetal Desg Techque Qgfu Zhag Departmet of Computer Scece Uversty of Essex Wvehoe Park Colchester, CO4 3SQ Uted Kgdom Abstract: - Major steps evolutoary algorthms volve samplg
More informationOn the Techniques for Constructing Even-order Magic Squares using Basic Latin Squares
Iteratoal Joural of Scetfc ad Research Publcatos, Volume, Issue 9, September 0 ISSN 50-353 O the Techques for Costructg Eve-order Magc Squares usg Basc Lat Squares Tomba I. Departmet of Mathematcs, Mapur
More informationImpact of DGs on Reconfiguration of Unbalanced Radial Distribution Systems
9 Impact of DGs o Recofgurato of Ubalaced Radal Dstrbuto Systems J.B.V. SUBRAHMANYAM ad C. RADHAKRISHNA Abstract - I ths paper a ew approach usg the 0-1 teger programmg method for recofgurato of ubalaced
More informationK-Map 1. In contrast, Karnaugh map (K-map) method provides a straightforward procedure for simplifying Boolean functions.
K-Map Lesso Objectves: Eve though Boolea expressos ca be smplfed by algebrac mapulato, such a approach lacks clear regular rules for each succeedg step ad t s dffcult to determe whether the smplest expresso
More informationA Two Objective Model for Location-Allocation in a Supply Chain
AmrHosse Nobl, Abolfazl Kazem,Alreza Alejad/ TJMCS Vol. 4 No. 3 (22) 392 4 The Joural of Mathematcs ad Computer Scece Avalable ole at http://www.tjmcs.com The Joural of Mathematcs ad Computer Scece Vol.
More informationEconomic Load Dispatch Based on a Hybrid Particle Swarm Optimization
Ecoomc Load Dspatch Based o a Hybrd artcle Swarm Optmzato Jog-Bae ar, K-Sog Lee, Joog-R Sh, Gyu-Ha Choe, Kwag Y. Lee Abstract Ths paper presets a ew approach to ecoomc load dspatch (ELD) problems usg a
More informationDISTRIBUTION VOLTAGE MONITORING AND CONTROL UTILIZING SMART METERS
4 th Iteratoal Coferece o Electrcty Dstrbuto Glasgow, -5 Jue 07 DISTRIBUTION VOLTAGE MONITORING AND CONTROL UTILIZING SMART METERS Yoshhto. KINOSHITA Kazuor. IWABUCHI Yasuyuk. MIYAZAKI Toshba Japa Toshba
More informationAn Improved DV-Hop Localization Algorithm Based on the Node Deployment in Wireless Sensor Networks
Iteratoal Joural of Smart Home Vol. 9, No. 0, (05), pp. 97-04 http://dx.do.org/0.457/jsh.05.9.0. A Improved DV-Hop Localzato Algorthm Based o the Node Deploymet Wreless Sesor Networks Jam Zhag, Ng Guo
More informationCHAPTER-4 WIDE BAND PASS FILTER DESIGN 4.1 INTRODUCTION
CHAPTER-4 WIDE BAND PASS FILTER DESIGN 4. INTRODUCTION The bad pass flters suested last chapter are hav the FBW less tha the 2%. I cotrast of that ths chapter deals wth the des of wde bad pass flter whch
More informationSIMPLE RANDOM SAMPLING
UIT IMPL RADOM AMPLIG mple Radom amplg tructure. Itroducto Obectves. Methods of electo of a ample Lottery Method Radom umber Method Computer Radom umber Geerato Method.3 Propertes of mple Radom amplg Merts
More informationOptimal Location of IPFC for Improving Power System Performance Using Cuckoo Search Algorithm
IOSR Joural of Electrcal ad Electrocs Egeerg (IOSR-JEEE) e-issn: 78-1676,p-ISSN: 30-3331, Volume 11, Issue 4 Ver. I (Jul. Aug. 016), PP 33-43 www.osrourals.org Optmal Locato of IPFC for Improvg Power System
More informationDistributed Generation Planning Strategy with Load Models in Radial Distribution System
Iteratoal Joural of Computer ad Electrcal Egeerg, Vol., No. 3, August 29 93-863 strbuted Geerato lag Strategy wth oad odels Radal strbuto System eepedra Sgh, eveder Sgh ad K S Verma Abstract Ths paper
More informationA New Aggregation Policy for RSS Services
A New Aggregato Polcy for RSS Servces Youg Geu Ha Sag Ho Lee Jae Hw Km Yaggo Km 2 School of Computg, Soogsl Uversty Seoul, Korea {youggeu,shlee99,oassdle}@gmal.com 2 Dept. of Computer ad Iformato Sceces,
More informationRobot Path Planning Based on Random Coding Particle Swarm Optimization
(IJACSA) Iteratoal Joural of Advaced Computer Scece ad Applcatos, Vol. 6, No. 4, 5 Robot Path Pla Based o Radom Cod Partcle Swarm Optmzato Ku Su Collee of Electroc ad Electrcal Eeer Shaha Uversty of Eeer
More informationAssignment#4 Due: 5pm on the date stated in the course outline. Hand in to the assignment box on the 3 rd floor of CAB.
MATH Assgmet#4 Due: 5pm o the date stated the course outle. Had to the assgmet box o the 3 rd floor of CAB.. Let deote the umber of teror regos of a covex polygo wth sdes, dvded by all ts dagoals, f o
More informationSixth Edition. Chapter 7 Point Estimation of Parameters and Sampling Distributions Mean Squared Error of an 7-2 Sampling Distributions and
3//06 Appled Statstcs ad Probablty for Egeers Sth Edto Douglas C. Motgomery George C. Ruger Chapter 7 Pot Estmato of Parameters ad Samplg Dstrbutos Copyrght 04 Joh Wley & Sos, Ic. All rghts reserved. 7
More informationCapacitor Placement Optimization in Transmission System Using Hybrid PSO and HBMO Algorithms
Iteratoal Joural of Eergy a Power Volume 1, Issue 1, August 01 PP. 6-30 ISSN(ole ISSN(prt www.j-ep.org Capactor Placemet Optmzato Trasmsso System Usg Hybr PSO a HBMO Algorthms M.Yarmohama 1, M.A.Taghha
More informationA CONTROL CHART FOR HEAVY TAILED DISTRIBUTIONS. K. Thaga. Department of Statistics University of Botswana, Botswana
A CONTROL CHART FOR HEAVY TAILED DISTRIBUTIONS K. Thaga Departmet of Statstcs Uversty of Botswaa, Botswaa thagak@mopp.ub.bw ABSTRACT Stadard cotrol charts wth cotrol lmts determed by the mea ad stadard
More informationLong Number Bit-Serial Squarers
Log Number Bt-Seral Squarers E. Chaotaks, P. Kalvas ad K. Z. Pekmestz are th the Natoal Techcal Uversty of Athes, 7 73 Zographou, Athes, Greece. E-mal: lchaot, paraskevas, pekmes@mcrolab.tua.gr Abstract
More informationAn Anycast Routing Algorithm Based on Genetic Algorithm
A Aycast Routg Algorthm Based o Geetc Algorthm CHUN ZHU, MIN JIN Computer Scece ad Iformato Techology College Zhejag Wal Uversty No.8, South Q ahu Road, Ngbo P.R.CHINA http://www.computer.zwu.edu.c Abstract:
More informationSimulation of rainfall-runoff process by artificial neural networks and HEC-HMS model (case study Zard river basin)
Proceedgs of The Fourth Iteratoal Ira & Russa Coferece 43 Smulato of rafall-ruoff process by artfcal eural etworks ad HEC-HMS model (case study Zard rver bas Mehrdad Akbarpour MSc. Graguate, Water Structures
More informationAn ANOVA-Based GPS Multipath Detection Algorithm Using Multi-Channel Software Receivers
A ANOVA-Based GPS Multpath Detecto Algorthm Usg Mult-Chael Software Recevers M.T. Breema, Y.T. Morto, ad Q. Zhou Dept. of Electrcal ad Computer Egeerg Mam Uversty Oxford, OH 4556 Abstract: We preset a
More information2008 Machine Intelligence Research Laboratories (MIR Labs)
X. Wag, X. Z. Gao, ad S. J. Ovaska. 8. A ovel partcle swarm based method for olear fucto optmzato. Iteratoal Joural of Computatoal Itellgece Research, volume 4, umber 3, pages 8 89. 8 Mache Itellgece Research
More informationVoltage Contingency Ranking for IEEE 39-Bus System using Newton- Raphson Method
WSEAS TRANSACTIONS o OWER SSTEMS Haer m, Asma Meddeb, Souad Chebb oltage Cotgecy Rag for IEEE 39-Bus System usg Newto- Raphso Method HAER MII, ASMA MEDDEB ad SOUAD CHEBBI Natoal Hgh School of Egeers of
More informationGeneration Reliability Evaluation in Deregulated Power Systems Using Game Theory and Neural Networks
Smart Grd ad Reewable Eergy, 212, 3, 89-95 http://dx.do.org/1.4236/sgre.212.3213 Publshed Ole May 212 (http://www.scrp.org/joural/sgre) 1 Geerato Relablty Evaluato Deregulated Power Systems Usg Game Theory
More informationA Novel Bandwidth Optimization Manager for Vehicle Controller Area Network, CAN, System
A Novel Badwdth Optmzato Maager for Vehcle Cotroller Area Network, CAN, System Y WANG, Z-y YOU, L-hu HUI Guzhou Normal Uversty, Guyag, Guzhou 550001, Cha Abstract Ths paper cosders the badwdth lmtato of
More informationFault-Tolerant Small Cells Locations Planning in 4G/5G Heterogeneous Wireless Networks
1 Fault-Tolerat Small Cells Locatos Plag G/G Heterogeeous Wreless Networks Tamer Omar 1, Zakha Abchar, Ahmed E. Kamal 3, J. Morrs Chag ad Mohammad Aluem 1 Departmet of Techology Systems, East Carola Uversty,
More informationBlock-based Feature-level Multi-focus Image Fusion
Block-based Feature-level Mult-focus Image Fuso Abdul Bast Sddqu, M. Arfa Jaffar Natoal Uversty of Computer ad Emergg Sceces Islamabad, Paksta {bast.sddqu,arfa.affar}@u.edu.pk Ayyaz Hussa, Awar M. Mrza
More informationDYNAMIC BROADCAST SCHEDULING IN ASYMMETRIC COMMUNICATION SYSTEMS: PUSH AND PULL DATA BASED ON SCHEDULING INDEX AND OPTIMAL CUT-OFF POINT YUFEI GUO
DYNAMIC BROADCAST SCHEDULING IN ASYMMETRIC COMMUNICATION SYSTEMS: PUSH AND PULL DATA BASED ON SCHEDULING INDEX AND OPTIMAL CUT-OFF POINT by YUFEI GUO Preseted to the Faculty of the Graduate School of The
More informationFrequency Assignment for IEEE Wireless Networks
Frequecy Assgmet for IEEE 8 Wreless Networks K K Leug Bell Labs, Lucet Techologes Murray Hll, NJ 7974 k@bell-labscom Byoug-Jo J Km AT&T Labs Research Mddletow, NJ 7748 macsbug@researchattcom Abstract The
More informationProject Scheduling with Two Constrained Resources
Proect Schedulg wth Two Costraed Resources Rog-Hwa Huag, Hsag-L Hsao, Szu-ha Hu, Shh-Tg Syu, ug-a Ho, Rou-We Hsu, Yu-Y Lu Departmet of Busess Admstrato Fu e Catholc Uversty No.50, Chug-Cheg Rd., Hschuag
More informationDesign of an Elevator Group Supervisory Controller using Ordinal Structure Fuzzy Logic with Context Adaptation
Desg of a Group Supervsory Cotroller usg Ordal Structure Fuzzy Logc wth Cotext Adaptato Kumeresa A. Daapalasgam ad Marzuk Khald Cetre for Artfcal Itellgece ad Robotcs Faculty of Electrcal Egeerg Uverst
More informationOptimal Power Allocation in Zero-forcing MIMO-OFDM Downlink with Multiuser Diversity
Optmal Power Allocato Zero-forcg IO-OFD Dowl wth ultuser Dversty Peter W. C. Cha ad oger S.. Cheg Abstract hs paper cosders the optmal power allocato for a multuser IO-OFD dowl system usg zero-forcg multplexg
More informationPerformance Comparison of Two Inner Coding Structures in Concatenated Codes for Frequency-Hopping Spread Spectrum Multiple-Access Communications
Iteratoal Joural o Recet ad Iovato Treds Computg ad Commucato IN: 31-8169 Volume: 3 Issue: 741-745 erformace Comparso of Two Ier Codg tructures Cocateated Codes for Frequecy-Hoppg pread pectrum Multple-Access
More informationResearch Article Solving the Inverse Kinematics for Robot Manipulators using Modified Electromagnetism-like Algorithm with Record to Record Travel
Research Joural of Appled Sceces, Egeerg ad Techology 7(9): 3986-3994, 04 DOI:0.906/rjaset.7.759 ISSN: 040-7459; e-issn: 040-7467 04 Maxwell Scetfc Publcato Corp. Submtted: August 9, 03 Accepted: August
More informationRedundancy-Allocation in Pharmaceutical Plant Deepika Garg*, Kuldeep Kumar**,G.L.Pahuja***
Deepka Garg et. al. / Iteratoal Joural of Egeerg Scece ad Techology Vol. 2(5), 200, 088-097 Redudacy-Allocato Pharmaceutcal Plat Deepka Garg*, Kuldeep Kumar**,G.L.Pahua*** *RESEARCH SCHOLAR,DEPT. OF MATHEMATICS,N.I.T.,KURUKSHETRA
More informationFault-Tolerant Small Cells Locations Planning in 4G/5G Heterogeneous Wireless Networks
Ths artcle has bee accepted for publcato a future ssue of ths joural, but has ot bee fully edted. Cotet may chage pror to fal publcato. Ctato formato: DOI 10.1109/TVT.016.613, IEEE Trasactos o Vehcular
More informationMemetic Algorithm-Based Multi-Objective Coverage Optimization for Wireless Sensor Networks
Sesors 204, 4, 20500-2058; do:0.3390/s420500 Artcle OPEN ACCESS sesors ISSN 424-8220 www.mdp.com/joural/sesors Memetc Algorthm-Based Mult-Objectve Coverage Optmzato for Wreless Sesor Networks Zh Che,2,3,
More informationLecture6: Lossless Compression Techniques. Conditional Human Codes
ecture6: ossless Compresso Techques Codtoal uma Codes -Cosder statoary dscrete arov process, = { s, s, s } wth codtoal pmfs P P s s wth,, tates o Ps/so.9.5.5 Ps/s.5.8.5 Ps/s.5.5.6 -The margal probabltes
More informationAn Evolutionary Stochastic Approach for Efficient Image Retrieval using Modified Particle Swarm Optimization
(IJACSA) Iteratoal Joural of Advaced Computer Scece ad Applcatos, A Evolutoary Stochastc Approach for Effcet Image Retreval usg Modfed Partcle Swarm Optmzato Hads Hedar Departmet of Computer Egeerg Raz
More informationBER ANALYSIS OF V-BLAST MIMO SYSTEMS UNDER VARIOUS CHANNEL MODULATION TECHNIQUES IN MOBILE RADIO CHANNELS
202 Iteratoal Coferece o Computer Techology ad Scece (ICCTS 202) IPCSIT vol. 47 (202) (202) IACSIT Press, Sgapore DOI: 0.7763/IPCSIT.202.V47.24 BER ANALYSIS OF V-BLAST MIMO SYSTEMS UNDER VARIOUS CANNEL
More informationFAULT LOCATION ALGORITHM FOR PRIMARY DISTRIBUTION FEEDERS BASED ON VOLTAGE SAGS
FAULT LOCATION ALGORITHM FOR PRIMARY DITRIBUTION FEEDER BAED ON VOLTAGE AG Rodrgo A. F. Perera, Mlade Kezuovc 2 ad José R.. Matova Uversdade Estadual Paulsta FEI/UNEP Ilha oltera, ão Paulo, Brazl 2 Texas
More informationTime-Frequency Entropy Analysis of Arc Signal in Non-Stationary Submerged Arc Welding
Egeerg, 211, 3, 15-19 do:1.4236/eg.211.3213 Publshed Ole February 211 (http://www.scrp.org/joural/eg) Tme-Frequecy Etropy Aalyss of Arc Sgal o-statoary Submerged Arc Weldg Abstract Kuafag He 1, Swe Xao
More informationSpeculative Completion for the Design of High-Performance Asynchronous Dynamic Adders
I: 1997 IEEE Iteratoal Symposum o Advaced Research Asychroous Crcuts ad Systems ( Asyc97 Symposum), Edhove, The Netherlads Speculatve Completo for the Desg of Hgh-Performace Asychroous Dyamc Adders Steve
More informationZigbee wireless sensor network localization evaluation scheme with weighted centroid method
Zgbee wreless sesor etwork localzato evaluato scheme wth weghted cetrod method Loesy Thammavog 1, Khamphog Khogsomboo 1, Thaadol Tegthog 2 ad Sathapor Promwog 2,* 1 Departmet of Electrocs ad Telecommucato
More informationDescriptive Statistics
Math 3 Lecture I Descrptve tatstcs Descrptve statstcs are graphcal or umercal methods utlsed to summarze data such a way that mportat features of the sample ca be depcted. tatstcs: tatstcs s cocered wth
More informationThe Balanced Cross-Layer Design Routing Algorithm in Wireless Sensor Networks Using Fuzzy Logic
Sesors 205, 5, 954-9559; do:0.3390/s508954 Artcle OPEN ACCESS sesors ISSN 424-8220 www.mdp.com/joural/sesors The Balaced Cross-Layer Desg Routg Algorthm Wreless Sesor Networks Usg Fuzzy Logc Ng L *, José-Ferá
More informationReliability Allocation
Relablty Allocato Yashwat K. Malaya omputer Scece Dept. olorado State Uversty Fort olls O 80523 USA malaya@cs.colostate.edu Phoe: 970-49-703, 970-49-2466 Abstract---A system s geerally desged as a assembly
More informationComparison of multiobjective harmony search, cuckoo search and bat-inspired algorithms for renewable distributed generation placement
Teco Lógcas ISSN 0123-7799 Vol. 18, No. 35, pp. 105-116 Julo-dcembre de 2015 Comparso of multobectve harmoy search, cuckoo search ad bat-spred algorthms for reewable dstrbuted geerato placemet Comparacó
More informationDistributed Online Matching Algorithm For Multi-Path Planning of Mobile Robots
Proect Paper for 6.854 embers: Seugkook Yu (yusk@mt.edu) Sooho Park (dreameo@mt.edu) Dstrbuted Ole atchg Algorthm For ult-path Plag of oble Robots 1. Itroducto Curretly, we are workg o moble robots whch
More informationAutomatic Modulation Classification with Genetic Backpropagation Neural Network
Automatc odulato Classfcato wth Geetc Backpropagato eural etwork Qal Zhou, Hu Lu, Lwe Ja, Kefe ao Electroc ad Iformato Egeerg Behag Uversty Beg 009, P.R.Cha Emal:xa5@buaa.edu.c, mluhu@buaa.edu.c,lwe_008@63.com,
More informationOptimal Bidding Strategy in Competitive Market Using GA & BFA: A Comparative Study
Iteratoal Joural of Egeerg Research ad Developmet e-issn: 2278-067X, p-issn: 2278-800X, www.jerd.com Volume 3, Issue 6 (September 2012), PP. 83-94 Optmal Bddg Strategy Compettve Market Usg GA & BFA: A
More informationProvded by the author(s) ad Uversty College Dubl Lbrary accordace wth publsher polces. Please cte the publshed verso whe avalable. Ttle Gaussa Pulse-Based Two-Threshold Parallel Scalg Toe Reservato for
More informationOptimal Placement of DSTATCOM in Radial Distribution System using Fuzzy and Penguins Search Optimization Algorithm
ISSN (Ole) 3 004 ISSN (Prt) 3 556 ol. 3, Issue, Noveber 05 Optal Placeet of Radal strbuto Syste usg Fuzzy ad Pegus Search Optzato Algorth K Subbara Reddy, Usha Reddy M.Tech, ept. of Electrcal ad Electrocs
More informationOptimal Reliability Allocation
Optmal Relablty Allocato Wley Ecyclopeda of Operatos Research ad Maagemet Scece Yashwat K. Malaya Computer Scece Dept. Colorado State Uversty, Fort Colls CO 80523 malaya@cs.colostate.edu Phoe: 970-49-703,
More information5. Random Processes. 5-3 Deterministic and Nondeterministic Random Processes
5. Radom Processes 5- Itroducto 5- Cotuous ad Dscrete Radom Processes 5-3 Determstc ad Nodetermstc Radom Processes 5-4 Statoary ad Nostatoary Radom Processes 5-5 rgodc ad Noergodc Radom Processes 5-6 Measuremet
More informationVALUATION OF REACTIVE POWER ZONAL CAPACITY PAYMENTS
VALUATION OF REACTIVE POWER ZONAL CAPACITY PAYMENTS Pablo Frías, Davd Soler ad Tomás ómez Isttuto de Ivestgacó Tecológca of Uversdad Potfca Comllas Madrd, Spa pablo.fras@t.upco.es, soera@upco.es, tomas.gomez@t.upco.es
More informationTHE FOURIER SERIES USED IN ANALYSE OF THE CAM MECHANISMS FOR THE SHOEMAKING MACHINES (PART I)
ANNALS OF HE UNIVERSIY OF ORADEA FASCICLE OF EXILES, LEAHERWORK HE FOURIER SERIES USED IN ANALYSE OF HE CAM MECHANISMS FOR HE SHOEMAKING MACHINES (PAR I) IOVAN-DRAGOMIR Ala, DRIȘCU Maraa, Gheorghe Asach
More informationAn Enhanced Posterior Probability Anti-Collision Algorithm Based on Dynamic Frame Slotted ALOHA for EPCglobal Class1 Gen2
Joural of Commucatos Vol. 9,. 0, October 204 A Ehaced Posteror Probablty At-Collso Algorthm Based o Dyamc Frame Slotted ALOHA for EPCglobal Class Ge2 Lta Dua,Wewe Pag 2, ad Fu Dua 2 College of Iformato
More informationApplied Statistics and Probability for Engineers, 6 th edition December 31, 2013 CHAPTER 6. Section 6-1
Appled Statstcs ad Probablty for Egeers, 6 th edto December 31, 013 CHAPTER 6 Secto 6-1 6-1. No, usually ot. For eample, f the sample s {, 3} the mea s.5 whch s ot a observato the sample. 6-3. No, usually
More informationA Spectrally Efficient Frequency Division Multiplexing Based Communications System M. R. D. Rodrigues and I. Darwazeh
IOWo'03, 8th Iteratoal OFDM-Workshop, Proceedgs, Hamburg, DE, Sep 24-25, 2003 (Prepublcato draft) A Spectrally Effcet Frequecy Dvso Multplexg Based Commucatos System M. R. D. Rodrgues ad I. Darwazeh Laboratory
More informationStudy of algorithms to optimize frequency assignment for autonomous IEEE access points
IJCSI Iteratoal Joural of Computer Scece Issues, Vol. 7, Issue 5, September 1 ISSN (Ole): 1694-814 64 Study of algorthms to optmze frequecy assgmet for autoomous IEEE 8.11 access pots Mchael Fsterbusch
More informationThe Use of Genetic Algorithms in Validating the System Model and Determining Worst-case Transients in Capacitor Switching Simulation Studies
The Use of Geetc Algorthms Valdatg the System Model ad Determg Worst-case Trasets Capactor Swtchg Smulato Studes Mlade Kezuovc, Fellow, IEEE Yua Lao, Studet Member, IEEE Texas A&M Uversty Departmet of
More informationShort Term Load Forecasting using Multiple Linear Regression
Short Term Load Forecastg usg Multple Lear Regresso N. Amral, C.S. Özvere, D Kg Uversty of Abertay Dudee, UK Abstract I ths paper we preset a vestgato for the short term (up 4 hours load forecastg of the
More informationMachine Vision Optimization using Nature-Inspired Algorithms to Model Sunagoke Moss Water Status
Vol.6 (06 o. ISS: 088-5334 ache Vso Optmzato usg ature-ispred Algorthms to odel Suagoke oss Water Status Yusuf Hedrawa #, Dmas Frmada Al Rza # Departmet of Agrcultural Egeerg, Uversty of Brawaya, alag
More informationShape Optimization of Slider-crank Mechanism
Shape Optmzato of Slder-crak Mechasm Kalash Chaudhary Professor, Departmet of Mechacal Egeerg, Raj Egeerg College Jodhpur, da Abstract: - ths paper, a two stage optmzato techque s preseted for optmum desg
More informationThermometer-to-binary Encoder with Bubble Error Correction (BEC) Circuit for Flash Analog-to-Digital Converter (FADC)
Thermometer-to-bary Ecoder wth Bubble Error Correcto (BEC) Crcut for Flash Aalog-to-Dgtal Coverter (FADC) Bu Va Heu, Seughyu Beak, Seughwa Cho +, Jogkook Seo ±, Takyeog Ted. Jeog,* Dept. of Electroc Egeerg,
More informationA NEW METHODOLOGY TO SOLVE JOINT ENERGY AND PRIMARY RESERVE SCHEDULING
Trasacto o Eolutoary Algorthm, Eergy ad Schedulg ISSN: 2229-87 Ole Publcato, Jue 22 www.pcoglobal.com/gto.htm EP-S43/GJTO A NEW METHODOLOGY TO SOLVE JOINT ENERGY AND PRIMARY RESERVE SCHEDULING M. Rouholam,
More informationFUZZY IMAGE SEGMENTATION USING LOCATION AND INTENSITY INFORMATION
FUZZY AGE SEGENTATON USNG OCATON AND NTENSTY NFOATON Ameer Al, aurece S Dooley ad Gour C Karmakar Gppslad School of Computg & formato Techology, oash Uversty, Australa Emal: {AmeerAl, aurecedooley ad GourKarmakar}@fotechmoasheduau
More informationInstallation and Dispatch of the Traffic Patrol Service Platform
Iteratoal Joural of Statstcs ad Probablty; Vol. 6, No. 1; Jauary 2017 ISSN 1927-7032 E-ISSN 1927-7040 Publshed by Caada Ceter of Scece ad Educato Istallato ad Dspatch of the Traffc Patrol Servce Platform
More informationA Fast Path Planning Algorithm for a Mobile Robot
Proceeds of the World Coress o Eeer 018 Vol I WCE 018, July 4-6, 018, Lodo, U.K. A Fast Path Pla Alorthm for a Moble Robot Patece I. Adamu, IAENG, Member, Hlary I. Okabue, Pelum E. Outude ad Abodu A. Opaua
More informationK-sorted Permutations with Weakly Restricted Displacements
K-sorted Permutatos wth Weakly Restrcted Dsplacemets Tg Kuo Departmet of Marketg Maagemet, Takmg Uversty of Scece ad Techology Tape 5, Tawa, ROC tkuo@takmg.edu.tw Receved February 0; Revsed 5 Aprl 0 ;
More informationOptimal Packetization Interval for VoIP Applications Over IEEE Networks
145 Afrca Joural of Iformato ad Commucato Techology, Vol. 2, No. 4, December 2006 Optmal Packetzato Iterval for VoIP Applcatos Over IEEE 802.16 Networks Sheha Perera Departmet of Electrcal & Computer Egeerg
More informationA Novel Phase Detection System for Linear All- Digital Phase Locked Loop
A Novel Phase Detecto System for Lear All- Dgtal Phase Locked Loop Abhshek Das, Suraj Dash, B.Chtt Babu, Member, IEEE, ad Ajt Kumar Sahoo, Member, IEEE. Abstract-- I ths paper, a ovel fast phase detecto
More informationWLAN Design: A Distributed Approach
WLAN Desg: A Dstrbuted Approach Ala Mc Gbey, Mart Klepal, Drk Pesch The Cetre for Adaptve Wreless Systems Cork Isttute of Techology Cork, Irelad Ala.McGbey@ct.e, Mart.Klepal@ct.e, Drk.Pesch@ct.e Abstract
More informationConsecutiveness Loss-Aware Routing and Spectrum Assignment Algorithm in Flexible Bandwidth Optical Networks
0 7 Iteratoal ICST Coferece o Commucatos ad Networkg Cha (CHINACOM) Cosecutveess Loss-Aware Routg ad Spectrum Assgmet Algorm Flexble Badwd Optcal Networks Xbo Wag Yogl Zhao Jawe Zhag Xaosog Yu Je Zhag
More informationInfinite Series Forms of Double Integrals
Iteratoal Joural of Data Evelopmet Aalyss ad *Operatos Research*, 4, Vol., No., 6- Avalable ole at http://pubs.scepub.com/jdeaor/// Scece ad Educato Publshg DOI:.69/jdeaor--- Ifte Seres Forms of Double
More informationProposed an Adaptive Bitrate Algorithm based on Measuring Bandwidth and Video Buffer Occupancy for Providing Smoothly Video Streaming
(IJACSA) Iteratoal Joural of Advaced Computer Scece ad Applcatos, ol. 9, No. 2, 218 Proposed a Adaptve Btrate Algorthm based o Measurg Badwdth ad deo Buffer Occupacy for Provdg Smoothly deo Streamg Saba
More informationDistributed Joint AP Grouping and User Association for MU-MIMO Networks
IEEE INFOCOM 2018 - IEEE Coferece o Computer Commucatos Dstrbuted Jot AP Groupg ad User Assocato for MU-MIMO Networks Wagkt Wog S.-H. Gary Cha Departmet of Computer Scece ad Egeerg The Hog Kog Uversty
More informationA Participation Incentive Market Mechanism for Allocating Heterogeneous Network Services
A Partcpato Icetve Maret Mechasm for Allocatg Heterogeeous Networ Servces Juog-S Lee ad Boleslaw K. Szymas * Noa Research Ceter, Palo Alto, CA 94304 USA * Resselaer Polytechc Isttute, Troy, NY 280, USA
More informationGeometric Distribution as a Randomization Device: Implemented to the Kuk s Model
It. J. Cotem. Math. Sceces, Vol. 8, 03, o. 5, 43-48 HIKARI Ltd, www.m-hkar.com Geometrc Dstrbuto as a Radomzato Devce: Imlemeted to the Kuk s Model Sarjder Sgh Deartmet of Mathematcs Texas A&M Uversty-Kgsvlle
More informationColor Image Enhancement using Modify Retinex and Histogram Equalization Algorithms Depending on a Bright Channel Prior
Iteratoal Joural of Applcato or Iovato Egeerg & Maagemet (IJAIEM) Web Ste: www.jaem.org Emal: edtor@jaem.org Color Image Ehacemet usg Modfy Retex ad Hstogram Equalzato Algorthms Depedg o a Brght Chael
More informationEnhancing Topology Control Algorithms in Wireless Sensor Network using Non-Isotropic Radio Models
IJCSNS Iteratoal Joural of Computer Scece ad Network Securty, VOL.6 No.8B, August 6 5 Ehacg Topology Cotrol Algorthms Wreless Sesor Network usg No-Isotropc Rado Models Ma.Vctora Que ad Wo-Joo Hwag Departmet
More informationSTATCOM Controller Design Based on MLP for Power Flow Control
Iteratoal Joural of Modelg ad Optmzato, Vol., No. 4, October STATCOM Cotroller Desg Based o MLP for Power Flow Cotrol E. Kazem Abhara, M. Karm, ad P. Farhad Abstract The statc sychroous compesator (STATCOM)
More informationMultiset Permutations in Lexicographic Order
Webste: www.jetae.com ISSN 2250-2459, ISO 9001:2008 Certfed Joural, Volume 4, Issue 1, Jauary 2014 Multset Permutatos Lexcographc Order Tg Kuo Departmet of Marketg Maagemet, Takmg Uversty of Scece ad Techology,
More informationComparison of Measurement and Prediction of ITU-R Recommendation P.1546
Comparso of Measuremet ad Predcto of ITU-R Recommedato P.546 Chag-Hoo Lee *, Nam-Ryul Jeo *, Seog-Cheol Km *, Jug-m Lm * Isttute of New Meda ad Commucatos, Seoul Natoal Uversty, Cosoldated Mateace Depot,
More informationEfficient Utilization of FlexRay Network Using Parameter Optimization Method
Iteratoal Joural of Egeerg ad Techology, Vol. 8, No. 6, December 2016 Effcet Utlzato of FlexRay Network Usg Parameter Optmzato Method Y. X. Wag, Y. H. Xu, ad Y. N. Xu Abstract FlexRay s a hgh rate of bus
More informationA New and Efficient Proposed Approach to Find Initial Basic Feasible Solution of a Transportation Problem
Amerca Joural of Appled Mathematcs ad Statstcs, 27, Vol., No. 2, 4-6 Avalable ole at http://pubs.scepub.com/ajams//2/3 Scece ad Educato Publshg DOI:.269/ajams--2-3 A New ad Effcet Proposed Approach to
More informationFormulation and Analysis of an Approximate Expression for Voltage Sensitivity in Radial DC Distribution Systems
Eerges 015, 8, 996-9319; do:10.3390/e809996 Artcle OPEN ACCESS eerges ISSN 1996-1073 www.mdp.com/joural/eerges Formulato ad Aalyss of a Approxmate Expresso for Voltage Sestvty Radal DC Dstrbuto Systems
More information