Multiset Permutations in Lexicographic Order
|
|
- Ashlyn Hamilton
- 6 years ago
- Views:
Transcription
1 Webste: ISSN , 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, Tape, Tawa Abstract I a prevous work [12], we proposed a method for geeratg permutatos lexcographc order. I ths study, we exted t to geerate multset permutatos. A multset s a collecto of tems that are ot ecessarly dstct. The gudele of the exteso s to skp, as soo as possble, those partally-formed permutatos that are less tha or equal to the latest geerated elgble permutato. Multset permutato ca be appled combatos geerato, sce a combato of q tems out of tems s a specal case of multset permutatos that cota q 1s ad -q 0s. Keywords multset permutato, lexcographc order, rakg, urakg, ordal represetato I. INTRODUCTION Permutatos are oe of the most mportat combatoral objects computg. I ths study, we focus multset permutato. A multset s a set that each tem the set has a multplcty whch specfes how may tmes the tem repeats. For coveece, wthout loss of geeralty, we use otato S m, to deote the set of all permutatos of a tems multset { 1 d 1, 2 d 2,, m d m } that s composed of m dstct, but ot ecessary successve, tegers d 1,,d m. Here, the multplctes of the m dstct tegers d 1,,d m are 1, 2,, m, respectvely, ad satsfy the followg costrat: m 1, for all 1. 1 For example, the multset {1, 1, 1, 2, 2, 3, 4, 4} ca be expressed as {3 1, 2 2, 1 3, 2 4}. The multplctes of the tems 1, 2, 3, ad 4 are 3, 2, 1, 2 respectvely. That s, a permutato 1 2 belogs to the S m, f ad oly f d,, d }, for all 1,,, { 1 m 2 ad the multplctes of those tems satsfy 1. Moreover, there s o two permutatos ad both belog to the S m, such that a, b, total umber of S m, s a for all 1,,. Clearly, the b 442! 2... m 1! 2!... 1 m Obvously, a set s a specal multset that the multplcty of each tem s oe. May methods have bee proposed o multset permutato [2, 3, 6, 10, 11, 17, 19]. Although these methods have ther ow characterstcs ad merts, there s a commo feature they share that oe of them works lexcographc order. The order of a lst of permutatos s determed by the method used to geerate them. However, f such a order wthout ay specfc characterstc that ca be utlzed the the permutato geerato method s ot good eough. I cotrast, there s a ature order of all permutatos called lexcographc, or alphabetcal, order [18]. I the proper sese of the word, a lst of permutatos s lexcographc order f these permutatos are sorted as they would appear a dctoary. Strctly speakg, f the tems gog through permutatos are ordered by a precedece relato <, the permutato precedes a.! a, 1 a,2 a, permutato f ad oly f, for some >= 1, we have a, b, b b, 1 b,2 b, a, j b, j 3 for all j < ad [15]. For example, the lexcographc order of sx permutatos of three dstct tems {1 2 3} s < < < < < Besdes, there s a kd of reverse lexcographc orderg [18] or called reverse colex order [9], the result of readg the lexcographc sequece backwards ad the permutatos from rght to left that s also of some terest. It s worthy to meto that, passg, our method ca be used to geerate multset permutatos both Lexcographc order ad Reverse Lexcographc order. I Table 1, we lst all 12 permutatos of a four tems multset { } Lexcographc order ad Reverse Lexcographc order respectvely.
2 Webste: ISSN , ISO 9001:2008 Certfed Joural, Volume 4, Issue 1, Jauary 2014 Table 1: Lexcographc order ad Reverse Lexcographc order of S 3,4 {1 1, 2 2, 1 3}. Lexcographc order Reverse Lexcographc order The reaso why we cocetrate ths study o lexcographc order ca be see the followg remark. Furthermore, the cotext of a backtrack search for all solutos to some problems, geerato of solutos lexcographc order mght be preferred o aesthetc grouds, ad has at least two practcal advatages, amely 1 Whe a subset of solutos has bee geerated, t s mmedately clear whch permutatos have bee rejected up to the most recetly geerated soluto. 2 It s easer to verfy whether a partcular permutato s preset the complete lst of solutos f that lt s lexcographc order [7]. Sce lexcographc order s a atural ad smple order, we belef that t should be easy mapulated by a computer program. Why do t we desg a permutato geerato method that ca full-utlze ths trsc order? Ths drves us to coduct ths study. 443 I the rest of ths paper, we wll propose a smple ad flexble method for geeratg multset permutatos lexcographc order. I Secto II, we frst revew a ew represetato scheme that s coceptually easy to uderstad ad mplemet. I Secto III, the rakg ad urakg algorthms are proposed. Example ad results are preseted Secto IV. Fally, dscusso ad coclusos are summarzed Secto V. II. REPRESENTATION SCHEMES Represetato schemes are of cetral terest scetfc research. Not oly because that they provde us a way to realze the cocept dscussed, but also because that they eable us to mapulate the objects whch they represet. I combatorcs ad mathematcs, several represetato schemes have bee used for permutato. Such as: two-le form [9], cycle otato [9], permutato matrx [4], verso vector [16], verso table [8], -ary p-umber [14], ad a p-sequece [1]. Each oe of these represetato schemes metoed above has ts ow characterstcs ad operatoal meag. However, a good represetato scheme of permutato should ot oly be used for geeratg all permutatos but also should have a property that t ca be easly mapulated by smple arthmetc operatos drectly. Moreover, t should be flexble for dfferet types of permutato problems. From a dfferet operatoal pot of vew, we proposed a ew represetato scheme of a permutato called ordal represetato that meets these goals [12]. Now, let us gve a quck revew o t. Defto 1: For a permutato the form of ordal represetato, that s [D D -1 D1 ], t belogs to S f ad oly f 1 D j j, for all j 1, 2,,. Here, we use otato S to deote the set of all permutatos of a tems set ad [D D -1 D1 ] s called ordal dgts of. The meag of ordal dgts s easy to uderstad, f we mage that a permutato s the result of a successve wthdrawg of tems dvdually, oe after the other wthout replacemet, from a ordered tem set {1, 2,, }. At the begg of wthdrawg, there are choces we ca choose to be the frst compoet of. That s why the equalty 1 D holds. Oce we have chose a tem as the frst compoet of, there are 1 choces left the ordered tem set. So, we have D
3 Webste: ISSN , ISO 9001:2008 Certfed Joural, Volume 4, Issue 1, Jauary 2014 Fally, oly oe choce s left, so t s 1 D1 1. I other words, the compoet j 1 of s determed by D j. Itrscally, the value of D j s oe plus the umber of tems that are less tha j 1 ad to the rght of t. Sce each permutato S correspods uquely to a teger q the rage of [0,! 1 ], we have the followg theorem. Theorem 1: I S, there s a oe-to-oe correspodece betwee [D D -1 D1 ] ad. Proof: Clearly, t s easy to covert ay teger q betwee 0 ad! 1 to ts factoral represetato [13]. Frst, we dvde q by 1! ad set the quotet to be C -1, the the remader s dvded by 2! ad the quotet s set to be C -2, ad so o. That s, ay teger q betwee 0 ad! 1 ca be represeted as q C 1 1! C 2 2! C1 1! C 0 0!. 3 Here, the followg costrats 0 C, for all 0, 1,, 1, are mposed to esure uqueess. These C s are called factoral dgts of teger q [13]. Thus, we have 1 C 1 1, for all 0, 1,, 1, By Defto 6, we kow that 1 D j j, for all j 1, 2,,. Ad from operatoal pot of vew, both factoral dgts ad ordal dgts are lexcographc. That s, Ca, 1Ca, 2 Ca, 0 precedes Cb, 1Cb, 2 Cb, 0 f ad oly f, for some k 0, we have C a, j Cb, j for all j k ad C C. Smlarly, D D D a, k b, k a, a, 1 a, 1 precedes Db, Db, 1 Db, 1 f ad oly f, for some k 1, we have D a, j Db, j for all j k ad Da, k Db, k. Hece, we have a oe-to-oe correspodece betwee D j ad C as follows: D C 1, where j 1, for all j 1, 2,,. j Thus, f we order all permutatos of S lexcographc order the we ca, for example = 7, use the ordal dgts [ ] to represet the frst. e., 0 th permutato π = , [ ] to 536 th permutato π = , ad [ ] to the last. e., 5039 th permutato π = , respectvely. It s easy to see that D = π 1 for all permutatos of S. I ths paper we use the term rakg to refer to covertg each permutato the S to ts ordal dgts uquely, ad urakg meas to covert ordal dgts to ts correspodg permutato uquely. I ext secto, we wll descrbe how to geeratg multset permutatos lexcographc order by usg ordal represetato scheme. III. ALGORITHMS I geeral, whe we meto a method of permutato geerato t s evtable to talkg about the rakg ad urakg algorthm. A rakg algorthm coverts each permutato S m, of a tems multset { 1 d 1, 2 d 2,, m d m } to a teger the rage of uquely.! 0,! 2!... 1 m 1! I cotrast, the correspodg urakg algorthm coverts a teger the rage of 4 to oe permutato S m, uquely. Kuth metoed a recurrece formula of rakg for permutatos of a multset. However, there s o urakg formula has bee proposed up to date. Now, let us tur to the ma subject of ths paper: geerate S m, lexcographc order. By usg ordal represetato scheme, we ca easly hadle multset permutato. Frst of all, we costruct a multset that s a ordered lst composed of all tems whch are to be arraged. Thus, gve a ordal represetato [D D - 1 D 1 ] of a permutato, we ca geerate the permutato th as follows. For each D,, 1,,1, output the D tem of the multset ad mmedately delete t from the multset. For example, f we wat to geerate the 10 th permutato S 3,4 of a multset { 1 1, 2 2, 1 3}, we talze the multset to be { }. Sce the ordal dgts of the 10 th permutato are [ ], we frst output the 4 th tem, here s 3, of the multset ad delete t from the multset
4 Webste: ISSN , ISO 9001:2008 Certfed Joural, Volume 4, Issue 1, Jauary 2014 After the frst step, the multset becomes {1 2 2}. Next, we output the 1 th tem, here s 1, of the multset ad delete t from the multset. After ths secod step, the multset becomes {2 2}. By followg the same process, the 10 th permutato S 3,4 of a multset { 1 1, 2 2, 1 3} we fally obta Ths process s descrbed Algorthm 1 as follows. Algorthm 1: Urakg the ordal dgts [D D -1 D 1 ] to a permutato the S m,. Iput: ; a multset M = { 1 d 1, 2 d 2,, m d m } ; [D D -1 D 1 ] Output: Beg For j = To 1 Retreve the D j th tem of M Let π +1-j = D j th tem of M Delete D j th tem of M Output Ed Oce we have the Algorthm 1, we ca easly geerate ay permutato correspodg to a teger k the rage of 4. Naturally, we ca systematcally geerate the whole S m, lexcographc order. Sce a multset s a collecto of tems wth repettos, the major problem of geeratg the whole S m, s how to avod geeratg permutatos that have bee geerated. Straghtforwardly, we ca treat all tems of a multset as dstct ad geerate permutatos the same maer as metoed Algorthm 1 but skp those permutatos that are geerated already. However, the check of duplcato s a bottleeck. Fortuately, sce we follow the lexcographc order, aturally, the gudele o the check of duplcato s to skp those permutatos that are less tha or equal to the latest geerated elgble permutato. Ths task ca be doe by Algorthm 2 as follows. Algorthm 2: Geerate S m, lexcographc order. Iput: ; a multset M = { 1 d 1, 2 d 2,, m d m }. 445 Output: All permutatos 1 2 belog to the S m,. Beg For j = 1 To talze the latest geerated elgble permutato π Let π j = 1 For D = 1 To For D -1 = 1 To 1 For D 2 = 1 to 2 For D 1 = 1 to 1 Let multset M = { 1 d 1, 2 d 2,, m d m } Ok = 0 For j = To 1 Retreve the D j th tem of M If Ok = 1 the Let π +1-j= D j th tem of M Delete D j th tem of M Goto Else f D j th tem of M > π +1-j the Else Select Case j Case 1 Goto Next D 2 Case else Let π +1-j = D j th tem of M Delete D j th tem of M Ok = 1 Goto f D j th tem of M = π +1-j the Let π +1-j = D j th tem of M Delete D j th tem of M Goto
5 Webste: ISSN , ISO 9001:2008 Certfed Joural, Volume 4, Issue 1, Jauary 2014 Else Select Case j Case Goto Next D Case -1 Case 3 Case 2 Ed Select Edf Ed Select Edf Edf Goto Next D -1 Goto Next D 3 Goto Next D 2 Output Next D 1 Next D 2 Next D -1 That s, we drectly embed the coverso of all tegers the rage of 4 to D j s the algorthm. Ths s why we use the lower ad upper bouds of D j s each ested For loop statemet of Algorthm 2. Cosequetly, t ca effectvely be used to hadle permutato geerato eve for a bg. However, those permutato geerato methods whch have to drectly deal wth a teger the rage of 4 are uable to hadle a bg because of the lmtato of computer hardware. Now, let us tur to the rakg algorthm. O the other had, order to covert each permutato the S m, to ts ordal dgts uquely, we desg Algorthm 3 as follows. Algorthm 3: Rakg a permutato 1 2 S m, to ts ordal dgts [D D -1 D 1 ]. Iput: Output: [D D -1 D 1 ] Beg Let multset M = { 1 d 1, 2 d 2,, m d m } For j = To 2 Let D j = r, f π -j+1 = r th tem of M search Delete r th tem of M Let D 1 =1 Ed By usg a bary Next D Ed Orgally, order to geerate the whole S m, lexcographc order we eed to coverts every teger k the rage of 4 to correspodg permutato the S m, uquely. Wth a slghtly dfferet, we do ot covert teger k but covert ordal dgts D j s to correspodg permutato. I other words, we omt both operatos of covertg a teger k to factoral dgts C s ad covertg C s to ordal dgts D j s. IV. EXAMPLE AND RESULTS For example, the multset {0, 0, 1, 1, 1, 1, 1, 1, 1} ca be expressed as {2 0, 7 1}. Totally, there s permutatos, but actually oly 36 permutatos are uquely. By usg a Acer otebook wth a Itel Core 2 CPU 1.83GHz ad a VBA program executed uder the Mcrosoft Excel evromet, we geerate the 36 permutatos lexcographcally ad totally escape duplcated permutatos oe secod. Table 2 shows the 36 permutatos Lexcographc order. 446
6 Webste: ISSN , ISO 9001:2008 Certfed Joural, Volume 4, Issue 1, Jauary 2014 Table 2 Lexcographc order of S 2,9 {2 0, 7 1} V. DISCUSSION AND CONCLUSIONS Multset permutato ca be appled combatos geerato, sce a combato of q tems out of a tems set s a specal case of multset permutatos that cota q 1s ad -q 0s. For example, a combato of 4 tems out of 8 tems ca be descrbed as to stad for we pck up the frst tem, the 4th tem, the 5th tem, ad the last tem. Obvously, ths s a permutato of a multset {4 0, 4 1}. The algorthms descrbed above are easy to mplemet by ay computer programmg laguage especally those provde data structures ad fudametal operatos that support us to drectly mapulate a set of tems. By usg the ordal represetato, our ew method s ot restrcted to umber the tems from 1 to, successvely. 447
7 Webste: ISSN , ISO 9001:2008 Certfed Joural, Volume 4, Issue 1, Jauary 2014 I other words, wthout ay ad of remappg, we ca drectly geerate the permutatos of dstct tems that are umbered, for example, by 3, 5, 8, 12, 18, ad 31, or eve wth o-umeral marks, provded there exst a predefed order amog these marks. It s terestg to ote that f we reverse all ested For loops the Algorthm 2 from upper boud dow to lower boud by step -1 ad set π j be the D j th tem of the tem set, the Algorthm 2 ca geerate the whole S m, Reverse Lexcographc order. I cocluso, the ew method s coceptually easy to uderstad ad mplemet ad s wellsuted to a wde varety of permutato problems. Therefore, we ted to cotue pursug ths le of study related topcs. REFERENCES [1] B. Bauslaugh ad F. Ruskey, Geeratg Alteratg Permutatos Lexcographcally, BIT 1990, pp [2] P. Bratley, Permutatos wth Repettos Algorthm 306, Comm. ACM, Vol. 10, No , pp [3] P. J. Chase, Permutatos of a Set wth Repettos Algorthm 383, Comm. ACM, Vol. 13, No , pp [4] T. H. Corme, C. E. Leserso, R. L. Rvest, ad C. Ste, Itroducto to Algorthms, 2 d Ed., The MIT Press, [5] J. R. Howell, Geerato of Permutatos by Addto, Math. Comp., Vol. 16, No , pp [6] T. C. Hu ad B. N. Te, Geeratg Permutatos wth Nodstct Items, The Amer. Math. Mothly, Vol. 83, No , pp [7] R. W. Irvg, Permutato Backtrack Lexcographc Order, The Computer J., , pp [8] D. E. Kuth, The Art of Computer Programmg, Volume 3: Sortg ad Searchg, Secod Edto, Addso-Wesley, [9] D. E. Kuth, The Art of Computer Programmg, Volume 4, Fasccle 2: Geeratg all tuples ad permutatos, Addso-Wesley, [10] J. F. Korsh ad S. Lpschutz, Geeratg Multset Permutatos Costat Tme, J. Algorthms, , pp [11] J. F. Korsh ad P. S. LaFollette, Loopless Arary Geerato of Multset Permutatos, The Comput. J. Vol. 47, No , pp [12] T. Kuo, A New Method for Geeratg Permutatos Lexcographc Order, Joural of Scece ad Egeerg Techology, Vol. 5, No , pp [13] D. H. Lehmaer, The Mache Tools of Combatorcs, Appled Combatoral Mathematcs E. F. Beckebach, Ed., pp. 5~31, Wley, New York, [14] D. Pager, A Number System for the Permutatos, Comm. ACM, Vol. 13, No , p [15] J. P. N. Phlps, Permutato of the Elemets of a Vector Lexcographc Order Algorthm 28, The Comput. J. Vol. 10, No , pp [16] E. M. Regold, J. Nevergelt, ad N. Deo, Combatoral Algorthms: Theory ad Practce, Pretce-Hall, Ic., [17] T. W. Sag, Permutatos of a Set wth Repettos, Comm. ACM, Vol. 7, No , p [18] R. Sedgewck, Permutato Geerato Methods, Computg Survey, Vol. 9, No , pp [19] L. Ye, A Note o Multset Permutatos, SIAM J. Dscrete Math.., Vol. 7, No , pp
K-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 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 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 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 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 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 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 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 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 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 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 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 informationCharacterization and Construction of Permutation Graphs
Ope Joural of Dscrete Mathematcs, 03, 3, 33-38 http://dxdoorg/036/odm033007 Publshed Ole Jauary 03 (http://wwwscrporg/oural/odm) Characterzato ad Costructo of Permutato Graphs Seero V Geraco, Teofa A Rapaut,
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 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 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 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 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 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 informationInformation Theory and Coding
Iformato heory ad Codg Itroducto What s t all aout? Refereces: C..hao, A Mathematcal heory of Commucato, he Bell ystem echcal Joural, Vol. 7, pp. 379 43, 63 656, July, Octoer, 948. C..hao Commucato the
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 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 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 informationAutomatic Construction of Semantic Dictionary for Question Categorization
Automatc Costructo of Sematc Dctoary for Questo Categorzato Tayog HAO Departmet of Computer Scece, Cty Uversty of Hog Kog Hog Kog, Cha Xglag NI Departmet of Computer Scece ad Techology, Uversty of Scece
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 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 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 informationAn ID-based Proxy Authentication Protocol Supporting Public Key Infrastructure
A ID-based Proxy Authetcato Protocol Supportg Publc Key Ifrastructure Shuh-Pyg Sheh, Shh-I Huag ad Fu-She Ho Departmet of Computer Scece ad Iformato Egeerg, ABSTRACT The advatage of the ID-based authetcato
More informationCS519K: M ULTIMEDIA SYSTEMS STUDENT PROJECTS DATE ANNOUNCED: OCTOBER 25, 2002 DUE DATE:
CS519K: M ULTIMEDIA SYSTEMS STUDENT PROJECTS DATE ANNOUNCED: OCTOBER 25, 2002 DUE DATE: DECEMBER 5, 2002, 11:59PM Basc gropg: Groups of 2 studets each; (or dvdual 1-member groups) There are 6 projects.
More informationStatic games: Coordination and Nash equilibrium
Statc game: Coordato ad Nah equlbrum Lecture Game Theory Fall 204, Lecture 2 3.0.204 Dael Spro, ECON3200/4200, Lecture 2 Ratoalzablty about Narrowg dow the belef I have ad the other player may have by
More informationx y z HD(x, y) + HD(y, z) HD(x, z)
Massachusetts Istitute of Techology Departmet of Electrical Egieerig ad Computer Sciece 6.02 Solutios to Chapter 5 Updated: February 16, 2012 Please sed iformatio about errors or omissios to hari; questios
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 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 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 informationISSN (Print), ISSN (Online) Volume 5, Issue 1, January (2014), IAEME AND TECHNOLOGY (IJARET)
Iteratoal INTERNATIONAL Joural JOURNAL of Advaced OF Research ADANED Egeerg RESEARH ad Techology IN ENGINEERING (IJARET), ISSN 976 648(Prt), ISSN 976 6499(Ole) olume 5, Issue, Jauary (4), IAEME AND TEHNOLOGY
More informationA Matrix Representation of an n-person 0-1 Game and Its 0-1 Tail Algorithm to Find (Strictly) Pure Nash Equilibria
Mathematcs ad Compter Scece 26; (): 5-9 http://www.scecepblshggrop.com/j/mcs do:.648/j.mcs.26.2 A Matrx Represetato of a -Perso - Game ad Its - Tal Algorthm to Fd (Strctly) Pre Nash Eqlbra Day Jag Isttto
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 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 informationChapter 3. Geographical Data Broadcast Cost Models
Chapter Geographcal ata Broadcast Cost Models s dscussed Secto. T s further dvded to to compoets amel Probe Wat ad Bcast Wat. We argue that t mght be more approprate to dvde T to four compoets: Ide-Probe
More informationDeterministic Random Number Generator Algorithm for Cryptosystem Keys
Iteratoal Joural of Computer ad Iformato Egeerg Determstc Radom Number Geerator Algorthm for Cryptosystem Keys Ad A. Maata, Hamza A. A. Al_Sewad Abstract Oe of the crucal parameters of dgtal cryptographc
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 informationDirect Teaching and Error Recovery Method for Assembly Task based on a Transition Process of a Constraint Condition
Proceedgs of the IEEE Iteratoal Coferece o Robotcs & Automato Seoul, Korea Ma -6, Drect eachg ad Error Recover Method for Assembl as based o a rasto Process of a Costrat Codto osho Fuuda Masaharu Naaoa
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 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 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 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 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 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 informationEfficient Large Numbers Karatsuba-Ofman Multiplier Designs for Embedded Systems
World Academy of Scece, Egeerg ad Techology Iteratoal Joural of Electrocs ad Commucato Egeerg Vol:3, No:4, 9 Effcet Large Numbers Karatsuba-Ofma Multpler Desgs for Embedded Systems M.Machhout, M.Zeghd,
More informationOPTIMAL DG PLACEMENT FOR MAXIMUM LOSS REDUCTION IN RADIAL DISTRIBUTION SYSTEM USING ABC ALGORITHM
teratoal Joural of Revews Computg 009-00 JRC & LLS. All rghts reserved. JRC SSN: 076-338 www.jrc.org E-SSN: 076-3336 OPTMAL PLACEMENT FOR MAXMUM LOSS REDUCTON N RADAL DSTRBUTON SYSTEM USNG ABC ALGORTHM
More informationLogarithms APPENDIX IV. 265 Appendix
APPENDIX IV Logarithms Sometimes, a umerical expressio may ivolve multiplicatio, divisio or ratioal powers of large umbers. For such calculatios, logarithms are very useful. They help us i makig difficult
More information7. Counting Measure. Definitions and Basic Properties
Virtual Laboratories > 0. Foudatios > 1 2 3 4 5 6 7 8 9 7. Coutig Measure Defiitios ad Basic Properties Suppose that S is a fiite set. If A S the the cardiality of A is the umber of elemets i A, ad is
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 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 informationAn Anonymous Multi-Receiver Encryption Based on RSA
Iteratoal Joural of etwork Securty, Vol.15, o.4, PP.307-312, July 2013 307 A Aoymous Mult-Recever Ecrypto Based o RSA Le Har 1, Ch-Che Chag 2,3, ad Hsao-Lg Wu 2 (Correspodg author: Ch-Che Chag) epartmet
More informationQUANTUM QUERY COMPLEXITY TO DETERMINE CENTER OF A GRAPH
www.jrcar.com Vol. Issue 8, Pg.: 1-7 August 014 INTERNATIONAL JOURNAL OF RESEARCH IN COMPUTER APPLICATIONS AND ROBOTICS ISSN 30-7345 QUANTUM QUERY COMPLEXITY TO DETERMINE CENTER OF A GRAPH Majula Gadh
More informationAn innovative transmission mechanism applicable to variable speed wind turbines
Europea ssocato for the Developmet of Reewable Eerges, Evromet ad Power Qualty (E4EPQ) Iteratoal Coferece o Reewable Eerges ad Power Qualty (ICREPQ 1) Graada (S), 23th to 25th March, 21 ovatve trasmsso
More informationCS 201: Adversary arguments. This handout presents two lower bounds for selection problems using adversary arguments ëknu73,
CS 01 Schlag Jauary 6, 1999 Witer `99 CS 01: Adversary argumets This hadout presets two lower bouds for selectio problems usig adversary argumets ëku73, HS78, FG76ë. I these proofs a imagiary adversary
More informationFace Recognition Algorithm Using Muti-direction Markov Stationary Features and Adjacent Pixel Intensity Difference Quantization Histogram
ICSNC 2012 : The Seveth Iteratoal Coferece o Systems ad Networks Commucatos Face Recogto Algorthm Usg Mut-drecto Markov Statoary Features ad Adjacet xel Itesty Dfferece Quatzato Hstogram Fefe Lee, Koj
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 informationForecasting the Exchange Rate of US Dollar-China Renminbi Using Hybrid Techniques of Statistical and Soft Computing Approaches
Joural of Idustral ad Itellget Iformato Vol. 4, o. 4, July 206 Forecastg the Exchage Rate of US Dollar-Cha Remb Usg Hybrd Techques of Statstcal ad Soft Computg Approaches Yuehje E. Shao, Che-Ch L, ad Po-Yu
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 informationPermutation Enumeration
RMT 2012 Power Roud Rubric February 18, 2012 Permutatio Eumeratio 1 (a List all permutatios of {1, 2, 3} (b Give a expressio for the umber of permutatios of {1, 2, 3,, } i terms of Compute the umber for
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 information8. Combinatorial Structures
Virtual Laboratories > 0. Foudatios > 1 2 3 4 5 6 7 8 9 8. Combiatorial Structures The purpose of this sectio is to study several combiatorial structures that are of basic importace i probability. Permutatios
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 informationIntermediate Information Structures
Modified from Maria s lectures CPSC 335 Itermediate Iformatio Structures LECTURE 11 Compressio ad Huffma Codig Jo Roke Computer Sciece Uiversity of Calgary Caada Lecture Overview Codes ad Optimal Codes
More informationOn Parity based Divide and Conquer Recursive Functions
O Parity based Divide ad Coquer Recursive Fuctios Sug-Hyu Cha Abstract The parity based divide ad coquer recursio trees are itroduced where the sizes of the tree do ot grow mootoically as grows. These
More informationA HIGH ACCURACY HIGH THROUGHPUT JITTER TEST SOLUTION ON ATE FOR 3GBPS AND 6GBPS SERIAL-ATA
A HIGH ACCURACY HIGH THROUGHPUT JITTER TEST SOLUTION ON ATE FOR 3GBPS AND 6GBPS SERIAL-ATA Yogqua Fa, Y Ca ad Zeljko Zlc LSI Corporato 0 Amerca Parkway NE, Alletow, Pesylvaa 809 Emal: y.ca@ls.com Departmet
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 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 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 informationVehicle Identification using Discrete Spectrums in Wireless Sensor Networks
JOURNAL OF NETWORKS, VOL. 3, NO. 4, APRIL 2008 51 Vehcle Idetfcato usg Dscrete Spectrums Wreless Sesor Networs Seug S. Yag Vrga State Uersty/Departmet of Computer Iformato Systems, Petersburg, U.S.A. Emal:
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 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 informationDeinterleaving of Interfering Radars Signals in Identification Friend or Foe Systems
8 Telecommucatos forum TEFOR Serba, Belgrade, ovember -5, Deterleavg of Iterferg Radars Sgals Idetfcato Fred or Foe Systems Youes Ahmad amal Mohamedpour Moe Ahmad Abstract I a dese moder electroc warfare
More informationDesign of FPGA- Based SPWM Single Phase Full-Bridge Inverter
Desig of FPGA- Based SPWM Sigle Phase Full-Bridge Iverter Afarulrazi Abu Bakar 1, *,Md Zarafi Ahmad 1 ad Farrah Salwai Abdullah 1 1 Faculty of Electrical ad Electroic Egieerig, UTHM *Email:afarul@uthm.edu.my
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 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 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 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 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 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 informationTHE LUCAS TRIANGLE RECOUNTED. Arthur T. Benjamin Dept. of Mathematics, Harvey Mudd College, Claremont, CA Introduction
THE LUCAS TRIANLE RECOUNTED Arthur T Bejami Dept of Mathematics, Harvey Mudd College, Claremot, CA 91711 bejami@hmcedu 1 Itroductio I 2], Neville Robbis explores may properties of the Lucas triagle, a
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 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 informationApplication of Improved Genetic Algorithm to Two-side Assembly Line Balancing
206 3 rd Iteratioal Coferece o Mechaical, Idustrial, ad Maufacturig Egieerig (MIME 206) ISBN: 978--60595-33-7 Applicatio of Improved Geetic Algorithm to Two-side Assembly Lie Balacig Ximi Zhag, Qia Wag,
More informationOn LDPC Code Based Massive Random-Access Scheme for the Gaussian Multiple Access Channel
O LDPC Code Based Massve Radom-Access Scheme for the Gaussa Multple Access Chael Luza Medova, Ato Glebov, Pavel Ryb, ad Alexey Frolov Ist. for Iformato Trasmsso Problems, Moscow, Russa, pryb@tp.ru Moscow
More informationSVD-based Collaborative Filtering with Privacy
SVD-based Collaboratve Flterg wth Prvacy Husey Polat Departmet of Electrcal Egeerg ad Computer Scece Syracuse Uversty, 121 L Hall Syracuse, NY 13244-1240, USA Phoe: +1 315 443 4124 hpolat@ecs.syr.edu Welag
More informationImplementation and Applications of CORDIC Algorithm in Satellite Communication
NCC 9, Jauary 16-18, IIT Guwahat 118 Implemetato ad Applcatos o Algorthm Satellte Commucato Satsh Sharma 1, Sul Kulkar ad P.Lakshmarsmaha 3 Dgtal Systems Group, ISRO Satellte Cetre, Arport Road, Baagalore-5617,
More informationRoberto s Notes on Infinite Series Chapter 1: Series Section 2. Infinite series
Roberto s Notes o Ifiite Series Chapter : Series Sectio Ifiite series What you eed to ow already: What sequeces are. Basic termiology ad otatio for sequeces. What you ca lear here: What a ifiite series
More informationCounting on r-fibonacci Numbers
Claremot Colleges Scholarship @ Claremot All HMC Faculty Publicatios ad Research HMC Faculty Scholarship 5-1-2015 Coutig o r-fiboacci Numbers Arthur Bejami Harvey Mudd College Curtis Heberle Harvey Mudd
More informationROTATIONAL OSCILLATION OF A CYLINDER IN AIR FLOW
VOL., NO. 3, DECEMBER 07 ISSN 89-6608 ARPN Joural of Egeerg ad Appled Sceces 006-07 Asa Research Publshg Network (ARPN). All rghts reserved. www.arpjourals.com ROTATIONAL OSCILLATION OF A CYLINDER IN AIR
More information606. Research of positioning accuracy of robot Motoman SSF2000
606. Research of postog accuracy of robot Motoma SSF2000 A. Klkevčus, M. Jurevčus 2, V. Vekters 3, R. Maskeluas 4, J. Stakūas 5, M. Rybokas 6, P. Petroškevčus 7 Vlus Gedmas Techcal Uversty, Departmet of
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 informationAdaptive QoS Control for Real-time Video Communication over Wireless Channels
Adaptve QoS Cotrol for Real-tme Vdeo Commucato over Wreless Chaels Dapeg Wu Y. Thomas Hou Wewu Zhu Zhha He Ya-Q Zhag Abstract Robust trasmsso of real-tme vdeo over wreless chaels s a challegg problem.
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 informationSingle Bit DACs in a Nutshell. Part I DAC Basics
Sigle Bit DACs i a Nutshell Part I DAC Basics By Dave Va Ess, Pricipal Applicatio Egieer, Cypress Semicoductor May embedded applicatios require geeratig aalog outputs uder digital cotrol. It may be a DC
More informationGeneral Model :Algorithms in the Real World. Applications. Block Codes
Geeral Model 5-853:Algorithms i the Real World Error Correctig Codes I Overview Hammig Codes Liear Codes 5-853 Page message (m) coder codeword (c) oisy chael decoder codeword (c ) message or error Errors
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 information