On the Techniques for Constructing Even-order Magic Squares using Basic Latin Squares
|
|
- Melvyn Underwood
- 6 years ago
- Views:
Transcription
1 Iteratoal Joural of Scetfc ad Research Publcatos, Volume, Issue 9, September 0 ISSN O the Techques for Costructg Eve-order Magc Squares usg Basc Lat Squares Tomba I. Departmet of Mathematcs, Mapur Uversty, Imphal, Mapur (INDIA) tombarom@gmal.com Abstract: Tomba (May, 0) troduced a techque for costructo ( x ) magc squares (whe s odd) usg basc Lat Squares by fxg the pvot elemet ad arragg other elemets a orderly maer [0]. However, eve-order magc squares ca t be costructed usg the same procedure because of duplcato dagoal elemets. Aga, Tomba (July, 0) developed a techque for costructg ( x ) magc squares (whe s doubly-eve) usg basc Lat square by fxg the colum assocated wth the elemets, adacet to the pvot elemet ad arragg a orderly maer, makg symmetrc trasformatos that geerates a magc parametrc costat (T) ad fally derved by mor adustmet o the par-umbers of satsfyg T []. The techque ca provde weak magc squares for sgly-eve cases. I ths paper, a techque for costructg sgly-eve magc squares s developed ad llustrated wth sutable examples. Key-words: Lat square (basc), sgly eve ad doubly eve magc square (ormal), weak magc squares, magc parametrc costat (Tomba s costat), AMS Classfcato No: A- 05 ad A-. INTRODUCTION I a Lat square, Lat letters are see oce each row ad colum whereas the sums of rows ad colums are equal but ot the sums of dagoals. The dea of Lat Squares ad basc Lat squares, ormal magc squares have studed [0] ad []. A ( x ) basc Lat square s symmetrc ad oduplcated (f s odd) ad symmetrc but duplcated (f s eve). (a) (b) (c) Normal magc square has the followg propertes; Elemets or umbers ( 0) are cosecutve ad ot repeated Sums of the rows, colums ad dagoals (usg dagoal otato as d ) are equal to the magc sum, S b b d d,,,..., Equalty property of the sum of rows, colums ad dagoals rema ualtered for rotatos ad reflectos. b (wth dagoal otato d ) satsfyg the followg propertes are weak magc squares; A ( x ) array (a) (b) (c) Elemets or umbers ( 0) are cosecutve ad ot repeated Sums of dagoals are equal to the magc sum, S d d S,,,..., Sums of the rows, colums are equal to the magc sum (S), except for some ad b b S,,,..., (d) Equalty property of the rows, colums ad dagoals rema ualtered for rotatos ad reflectos. The the matrx b s a weak magc square. Let a be a magc square satsfyg the propertes (a) to (c). The alterate structures of a magc square ca be expressed a (k) for (clockwse or atclockwse rotato) as ( k ); k,,... m ) where, a = (k) for all 0, 4, 8,.... TECHNIQUE (For costructg doubly-eve magc squares) The techque of costructg doubly-eve magc square usg basc Lat square prcple ca be expressed as follows: Let the matrx a [] a ;,,,... wth the cosecutve umbers be arraged basc Lat square format as; a a... a a a a3... a a where, a S for all,... a a... a a S = ( ) [] Ths codto s true for all (odd or eve) due to basc Lat square property. The pvot elemet s uque (for s odd) but t les betwee two umbers (for s eve). Sce the pvot elemet s ot fxed, we select the colum, assocated wth the umbers adacet to the pvot elemet, assg t as the dagoal elemets ad arrage the other elemets a
2 Iteratoal Joural of Scetfc ad Research Publcatos, Volume, Issue 9, September 0 ISSN orderly maer to get a ew matrx satsfyg the property of d d S for all ad [3] Aga, make symmetrc trasformatos of other elemets, retag the dagoal elemets u-chaged to fd out the extreme corer blocks ad cetral block of ( x ) each. Revertg ( 4) rows ad colums systematcally, a magc parametrc costat (T) ad a set of sub magc parametrc costats are geerated. For doubly-eve cases, by adustg the values the parametrc costats ad sub parametrc costats, the requred magc squares (doubly-eve) ca be costructed as b b b b b b b b b b b b Satsfyg b b d d [4] b ;,,,... s a (doubly-eve) magc square. 3. THEOREMS 3.: Odd order Magc Squares derved usg basc Lat Squares For ay ( s odd), a magc square costructed usg basc Lat square, the followg theorem holds; Theorem : A ( x ) matrx b, developed by usg basc Lat square format whe the pvot elemet s fxed, assged the row assocated wth the pvot elemet (keepg the pvot elemet the mddle cell) as dagoal elemet ad arragg a orderly maer represets a magc square for ay odd. [0] 3.: Doubly-eve Magc Squares derved usg basc Lat Squares For ay ( s doubly-eve), a magc square costructed usg basc Lat square, the followg theorem holds; Theorem : A ( x ) matrx b, developed by usg basc Lat square format whe the colum, assocated wth the umbers adacet to the pvot elemet s selected, assg t as the dagoal elemets ad arrage the other elemets a orderly maer, makg symmetrc trasformatos gves a ew matrx satsfyg the equalty property of dagoal sums. Selectg a sutable cetral block (retag the dagoal elemets uchaged) ad reverg the ( 4) rows ad colums systematcally, the system geerates a magc parametrc costat (T) ad sub-magc parametrc costats. Wth some adustmet o the par-umbers satsfyg T, t geerates magc squares of ay doubly-eve. [] 3.3: Sgly-eve Weak Magc Squares derved usg basc Lat Squares For ay ( s sgly-eve), the followg theorem holds Theorem 3: A ( x ) matrx b, developed by usg basc Lat square format whe the colum, assocated wth the umbers adacet to the pvot elemet s selected, assg t as the dagoal elemets ad arrage the other elemets a orderly maer, makg symmetrc trasformatos of other elemets gves a ew matrx satsfyg the equalty property of dagoal sums. Selectg a sutable cetral block (retag the dagoal elemets uchaged) ad revertg the rows ad colums systematcally, the system geerates a magc parametrc costat (T) ad sub-magc parametrc costats. Wth some adustmets o the par-umbers satsfyg T, t geerates weak magc squares oly for ay sgly-eve. [] 4. METHODOLOGY (For costructg sgly-eve magc squares) The techque of costructg sgly-eve magc square usg basc Lat square prcple ca be expressed as follows: Let the matrx a ;,,,... wth the cosecutve umbers be arraged basc Lat square format as; a a... a a a a3... a a where, a S for all... a a... a a S = ( ) [5] Ths codto s true for all (odd or eve) due to basc Lat square property. Fd T=. Select the colum, assocated wth the mmum ad maxmum elemets, assg t as the dagoal elemets ad arrage the other elemets a orderly maer to get a ew matrx satsfyg d d S for all ad Aga, retag the dagoal elemets u-chaged, make symmetrc trasformatos, to fd the extreme corer blocks ad cetral block of ( x ) each. Revertg ( 4) rows ad colums systematcally, a magc parametrc costat (T) ad a set of sub magc parametrc costats are geerated. Revertg the dagoal elemets (keepg the cetral block uchaged) ad selectg the parumbers satsfyg magc parametrc costat T, assgg the par-umbers properly ad makg mor adustmets the values the parametrc costat ad other elemets, the requred magc squares (sgly-eve) ca be costructed as; b b... b b b b, b, b b b... b b Satsfyg b b d d [6] b ;,,,... s a (sgly-eve) magc square.
3 Iteratoal Joural of Scetfc ad Research Publcatos, Volume, Issue 9, September 0 3 ISSN Hece, for ay sgly-eve, the followg theorem s developed; Theorem 4: A ( x ) matrx b, developed by usg basc Lat square format whe the colum assocated wth the maxmum ad mmum umbers s selected, assg t as dagoal elemets ad arrage the other elemets a orderly maer get a ew matrx satsfyg the equalty property of dagoal sums. Aga, make symmetrc trasformatos, retag the dagoal elemets u-chaged to fd the extreme corer blocks ad cetral block of ( x ) each. Reverg ( 4) rows ad colums systematcally (keepg the cetral block uchaged), the system geerates a magc parametrc costat (T) ad sub-magc parametrc costats. Revertg oe of the dagoal elemet (keepg the cetral block uchaged), assgg the par-umbers satsfyg the propertes of T selectve postos, followed wth some adustmets gves magc squares of ay sgly-eve. 5. STEPS FOR CONSTRUCTION 5.: Doubly-eve magc squares Costructo of magc square usg basc Lat square s expressed the followg steps: Step-: Frst arrage the cosecutve umbers to or ( a to a ) basc Lat square format. Fd T=. Step-: Fd the rage of a a ad select the colum assocated wth ths rage assg t as dagoal elemets ad arrage other elemets a orderly maer, gvg dagoals sums equal Step-3: Retag the dagoal elemets uchaged, make trasformatos of other elemets to costruct the extreme corer ad cetral blocks of ( x ) each. Step-4: Revertg ( 4) rows ad colums a systematc maer, a magc parametrc costat (T) ad a set of sub-magc parametrc costats are geerated... The reverso process wll satsfy the followg codto. () k for k = 0,,.... Step-5: Ma adustmets should be made o the elemets correspodg to the magc parametrc costat (T), whereas mor adustmets should be made o other elemets of sub-magc parametrc costats to get the magc square satsfyg the propertes of b b d d Note: For sgly-eve, t geerate weak magc squares oly. 5.: Sgly-eve magc squares Costructo of magc square usg basc Lat square s expressed the followg steps: Step-: Frst arrage the cosecutve umbers to or ( a to a ) basc Lat square format. Fd T=. Step-: Select the colum assocated wth maxmum ad mmum umbers, assg t as dagoal elemets ad arrage other elemets a orderly maer, gvg dagoals sums equal Step-3: Retag the dagoal elemets uchaged, make trasformatos of other elemets to costruct the extreme corer ad cetral blocks of ( x ) each. Step-4: Revertg ( 4) rows ad colums a systematc maer, a magc parametrc costat (T) ad a set of sub-magc parametrc costats ( T T... ) ca be determed. The reverso process wll satsfy the followg codto. () k for k = 0,,... Step-5: Revert oe of the dagoal elemets keepg the cetral block uchaged. Select the par-umbers satsfyg T ad arraged o selectve bass whch s ormally complcated. Step-6: Adustmets should be made o the elemets correspodg to the magc parametrc costat (T), whereas mor adustmets should be made o other elemets to get the magc square satsfyg the propertes of b b = d d 6. NUMERICAL EXAMPLES (Doubly-eve ad sgly-eve cases) 6.: To costruct a (4 x 4) magc square (doubly-eve) Step-: The umbers ( to 6) 4 rows ad 4 colums, arraged basc Lat square format be; The arragemet gves the colum totals equal, a 34 for all. Here, S = 34 ad T = Step-: Select the colum assocated wth the umbers 8 ad 9 (say 3, 8, 9, 4) ad assg t as dagoal elemets.
4 Iteratoal Joural of Scetfc ad Research Publcatos, Volume, Issue 9, September 0 4 ISSN Rearragg the other elemets a orderly maer gves a ew matrx satsfyg d d = Step-3: Retag the dagoal elemets u-chaged, make trasformatos of other elemets to geerate the extreme corer ad cetral blocks of ( x ) each Extreme corer blocks: , 8, 4 7, Step-4: Here, ( 4) = 0 for = 4. No reverso process eeded. Step-5: Hece, o adustmet eeded ad therefore the costructo of (4 x 4) magc squares s completed Step To costruct (8 x 8) magc square (doubly-eve) Step-: Let the cosecutve umbers be (,, 3,... 64) 8 rows ad 8 colums be arraged basc Lat Square format as: Step-: Select the row assocated wth the elemet (3 ad 33) ad assg ths as dagoal elemets. Rearragg the other elemets a orderly maer gves a ew matrx gvg the dagoal sums equal satsfyg the dagoal sums equal Step-3: Retag the dagoal elemets u-chaged, make trasformatos of other elemets to costruct the extreme corer ad cetral block of ( x ) each Extreme corer blocks: Let the Cetral block be assumed as: Note: Takg the cetral block dfferet forms, dfferet magc squares ca be costructed. Step-4: Here, ( 4) = for = 8. Revertg 3 th colum, 5 th colum ad 3 th row, 5 th row (keepg the dagoal elemets, extreme corer blocks ad cetral block uchaged), a magc parametrc costats (T) ca be determed Here, T = 65 ad sub-magc parametrc costats: T = 49, T = 8, T 3 = 59 T 4 = 7 Par-umbers satsfyg T : [8, 37], [7, 38], [6, 39], [56, 9], [49, 6], [4, 4], [48, 7], [8, 57], [, 64], [3, 34], [30, 35] ad [9, 36] Other par-umbers satsfyg T: () I extreme corer blocks: [6, 4], [3, 6], [, 53], [5, 60] [6, 59], [3, 5] () I cetral block: [40, 5] ad [3, 33]
5 Iteratoal Joural of Scetfc ad Research Publcatos, Volume, Issue 9, September 0 5 ISSN Step-5: Adustmets o the values of magc parametrc costats, T are made to get the magc square as follows; Fally the ecessary magc square of 8x8 s costructed as; As stated earler, for sgly-eve cases, the techque geerates weak magc squares oly 6.3 To costruct a (6 x 6) weak magc square (Sgly-eve) Step-: Let the cosecutve umbers be (,,... 36) 6 rows ad 6 colums be arraged basc Lat square format; Satsfyg a = S for all, where, S =. The pvot elemet les betwee 8 ad 9. Fd T = Step-: Select the colum assocated wth the elemet (8, 9) as (4,, 8, 9, 6, 33) ad assg ths colum as dagoal elemets, Rearrage the other elemets a orderly maer to get a ew matrx havg the dagoal sums equal Step-3: Retag the dagoal elemets u-chaged, make symmetrc trasformatos of other elemets to get the extreme corer ad cetral blocks of ( x ) each. Extreme corer blocks: Cetral block assumed: Step-4: Here, ( 4) = for = Revertg the 3 rd row ad 3 rd colum (retag the dagoal elemets ad cetral block uchaged), a magc parametrc costat T s geerated Par-umbers satsfyg T: [6, ], [7, 0], [, 36], [7, 30] [5, ], [3, 6], [4, 3] ad [5, ] Other par-umbers satsfyg T: () I extreme corer blocks: [34, 3], [9, 8], [, 35], [4, 33] [7, 0], [3, 5] () I cetral block: [4, 3] ad [8, 9]
6 Iteratoal Joural of Scetfc ad Research Publcatos, Volume, Issue 9, September 0 6 ISSN Step-5: After smple adustmets the par-umbers, satsfyg T, we get weak magc square, geerated from basc Lat Square Note: Adustmet to make row ad colum sums equal wll affect the sum of the dagoals ad therefore geerates weak magc squares oly. 6.4: To costruct a (6 x 6) magc square (Sgly-eve) Step-: Let the cosecutve umbers be (,,...36) 6 rows ad 6 colums be arraged Lat square format as; It satsfes a = S for all, where, S =. Here, T = 37 Step-: Select the colum assocated wth the mmum ad maxmum umbers as (, 8, 5,, 9, 36) ad assg ths colum as dagoal elemets, Rearrage the other elemets a orderly maer to get a ew matrx gvg dagoal sums equal, Step-3: Retag the dagoal elemets u-chaged, make symmetrc trasformatos of other elemets to get the extreme corer ad cetral blocks of ( x ) each. Extreme corer blocks: Cosder the cetral block as Step-4: Here, ( 4) = for = 6. Revertg 3 rd row ad 3 rd colum (retag the dagoal elemets ad cetral block uchaged), the magc parametrc costat T s geerated. Par-umbers satsfyg T: [3, 4] [4, 3] [4, 33] [0, 7] [8, 9] [34, 3] [7, 0] [8, 9] Step-5: Revert oe of the dagoal elemets (keepg the cetral block uchaged). Select the par-umbers satsfyg T a very selectve maer (whch s ormally very complcated, ot satsfed for may cases) as; Step-6: Make smple adustmets the value of the magc parametrc costats ad other elemets to get the magc square, geerated from basc Lat Squares
7 Iteratoal Joural of Scetfc ad Research Publcatos, Volume, Issue 9, September 0 7 ISSN Step-4: Here, ( 4) = 3 for = : To costruct a (0 x0) magc square Step-: Let the cosecutve umbers be (,,...00) 0 rows ad 0 colums be arraged Lat square format as; It satsfes a = S for all, where, S = 505. Here, T = 0 Step-: Select the colum assocated wth the mmum ad maxmum umbers ad assg ths colum as dagoal elemets, Rearrage the other elemets a orderly maer to get a ew matrx gvg dagoal sums equal, Step-3: Retag the dagoal elemets u-chaged, make symmetrc trasformatos of other elemets to get the extreme corer ad cetral blocks of ( x ) each Revertg 3 rd 5 th 7 th rows ad 3 rd 5 th 7 th colums (retag the dagoal elemets ad cetral block uchaged), the magc parametrc costat T s geerated The par-umbers satsfyg T: [4, 60] [4, 59] [58, 43] [44, 57] [6, 95] [6, 85], [6, 75], [36, 65], [50, 5] [49, 5] [48, 53], [54, 47], [5, 96] [44, 57] [96,5] [86, 5], [76, 5], [66, 35] Other par-umbers satsfyg T: () I extreme corer blocks: [34, 3], [9, 8], [, 35], [4, 33], [7, 0], [3, 5] () I cetral block: [4, 3] ad [8, 9] () I dagoals: [00,], [89,], [67,34], [9,0], [83, 8], [73, 8], [64, 37] Step-5: Cosder the cetral block as Revert oe of the dagoal elemets (keepg the cetral block uchaged). Select the par-umbers satsfyg T a very selectve maer (shftg ts postos 90 0 )
8 Iteratoal Joural of Scetfc ad Research Publcatos, Volume, Issue 9, September 0 8 ISSN Step-6: Make smple adustmets the value of the magc parametrc costats ad other elemets to get the magc square, geerated from basc Lat Squares Precautos I the costructo of sgly-eve magc squares usg basc Lat squares, selecto of proper cetral block, assgg the par-umbers satsfyg the magc parametrc costat T, s ormally complcated. I may cases, t wll geerate weak magc squares. Example:6.6: Usg step-4 of example 6.4. Let 5 be the cetral block. 6 If we proceed wthout assgg the par-umbers satsfyg T properly, after makg adustmets, t geerates Weak magc square as CONCLUSION The techque ca be used for fdg magc squares from basc Lat Squares of ay order (, for s sgly-eve). The costructo s doe by fxg the colum, assocated wth the maxmum ad mmum elemets, assgg t as dagoal elemet ad arragg other elemets a orderly maer, makg symmetrc trasformatos, revertg oe the dagoal elemets (keepg the cetral block u-chaged), selectg ad arragg the par-umbers satsfyg the magc parametrc costat, T a very selectve maer ad fally adustg the elemets o the magc parametrc costat ad other elemets. Weak magc squares of dfferet structures ca be geerated depedg upo the choce of cetral block, assgg the parumbers satsfyg T. ad therefore expected to provde more applcatos cryptology tha that of the actual magc squares for ay (odd or eve). Ackowledgemet I would lke to express my deep sese of grattude to Prof K. S. Bhamra ad Prof M. Rat Sgh, Departmet of Mathematcs, Mapur Uversty for ther valuable suggestos gve whle developg the formulae/ techques. REFERENCES []. Abe, G.: Usolved Problems o Magc Squares; Dsc. Math. 7, 3-3, 994 [] Barard, F. A. P: Theory of Magc Squares ad Cubes; Memors Natl. Acad. Sc. 4, 09-70, 888. [3] Carl, B Boyer (Revsed by Uta, C. Merzbach): A Hstory of Mathematcs, Revsed Edto, 998 [4] Gaapathy G ad Ma K: Add-o Securty Model of Publc-key Cryptosystem Based o Magc Square Implemetato, Proceedgs of the World Cogress o Egeerg ad Computer Scece, (Vol-), Oct -7, Sa Fracsco, USA, 009 [5] Flaery, S. ad Flaery, D.: I code: A Mathematcal Jourey, Lodo s Profle Books, p6-4, 000 [6] Hez, H ad Hedrcks J. R.: Magc Squares Lexcor, Illustrated Self Publshed, 00 [7] Hrayama, A. ad Abe, G: Researches Magc Squares; Osaka, Japa: Osaka Kyokutosho, 983. [8]. McCrae, Judso: Magc Squares of All Orders, Mathematcs Teacher, , 988 [9] Pckover, C. A.: The Ze of Magc Squares, Crcles, ad Stars: A Exhbto of Surprsg Structures Across Dmesos. NJ: Prceto Uversty Press, 00 [0] Tomba I. : A Techque for Costructg Odd-order Magc Squares usg Basc Lat Squares, Iteratoal Joural of scetfc ad research Publcatos, Volume-, Issue-5, May 0 pp [] Tomba I. : A Techque for Costructg Eve-order Magc Squares usg Basc Lat Squares, Iteratoal Joural of scetfc ad research Publcatos, Volume-, Issue-7, July 0 pp
A Technique for Constructing Even-order Magic Squares using Basic Latin Squares
Itertol Jourl of Scetfc d Reserch Publctos, Volume, Issue 7, July 0 Techque for Costructg Eve-order Mgc Squres usg Bsc Lt Squres Tomb I. Deprtmet of Mthemtcs, Mpur Uversty, Imphl, Mpur (INDI) tombrom@gml.com
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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 informationThe Institute of Chartered Accountants of Sri Lanka
The Isttute of Chartered Accoutats of Sr Laka Executve Dploma Accoutg, Busess ad Strategy Quattatve Methods for Busess Studes Hadout 0: Presetato ad Aalyss of data Presetato of Data Arragg Data The arragemet
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 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 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 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 informationPOWERS OF 3RD ORDER MAGIC SQUARES
Fuzzy Sets, Rough Sets ad Multivalued Operatios ad Applicatios, Vol. 4, No. 1, (Jauary-Jue 01): 37 43 Iteratioal Sciece Press POWERS OF 3RD ORDER MAGIC SQUARES Sreerajii K.S. 1 ad V. Madhukar Mallayya
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 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 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 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 informationPROJECT ACTIVITY ANALYSIS WITHOUT THE NETWORK MODEL. E. Munapo
ROJEC CIVIY NLYSIS WIHOU HE NEWORK MODEL E. Muapo Departet of Decsos Sceces Uversty of South frca, South frca uape@usa.ac.za BSRC hs paper presets a ew proceure for aalysg a aagg actvty sequeces projects.
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 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 informationComparison of Estimators of Extreme Value Distributions for Wind Data Analysis
Bofrg Iteratoal Joural of Data g, Vol., o. 3, September 0 6 Comparso of Estmators of Extreme Value Dstrbutos for d Data Aalyss. Vvekaada Abstract--- Estmato of extreme wd speed potetal at a rego s of mportace
More informationNew Difference Estimator in Two-phase Sampling using Arbitrary Probabilities
IN 1684-8403 Joural o tatstcs olume 15, 008,. 7-16 Abstract New Derece Estmator Two-hase amlg usg Arbtrar Probabltes Asa Kamal 1 ad Muhammad Qaser hahbaz A ew derece estmator has bee costructed two-hase
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 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 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 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 informationShane Dixon, Xiao-Hua Yu
Proceedgs of the 2010 IEEE Iteratoal Coferece o Iformato ad Automato Jue 20-23, Harb, Cha Boformatcs Data Mg Usg Artfcal Immue Systems ad Neural Networks Shae Dxo, Xao-Hua Yu Departmet of Electrcal Egeerg
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 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 informationData Compression. Prof. Ja-Ling Wu. Department of Computer Science and Information Engineering National Taiwan University
ata Coresso Prof. Ja-Lg Wu eartet of Couter Scece ad Iforato Egeerg Natoa Tawa Uversty ata Coresso ca be acheved by assgg short descrtos to the ost frequet outcoes of the data source ad og descrto to the
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 informationGENERALIZED FORM OF A 4X4 STRONGLY MAGIC SQUARE
IJMMS, Vol. 1, No. Geeralized 1, (Jauary-Jue Form 016):87-9 of A 4x4 Strogly Magic Square Serials Publicatios 87 ISSN: 0973-339 GENERALIZED FORM OF A 4X4 STRONGLY MAGIC SQUARE Neeradha. C. K, ad Dr. V.
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 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 informationCONSTRUCTION OF AN OPTIMAL MATHEMATICAL MODEL OF FUNCTIONING OF THE MANUFACTURING INDUSTRY OF THE REPUBLIC OF KAZAKHSTAN
CONSTRUCTION OF AN OPTIMAL MATHEMATICAL MODEL OF FUNCTIONING OF THE MANUFACTURING INDUSTRY OF THE REPUBLIC OF KAZAKHSTAN SEILKHAN N. BORANBAYEV, ASKAR B. NURBEKOV L.N. Gumlyov Eurasa Natoal Uversty, Satpayev
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 informationSuccessful Implementation of the Hill and Magic Square Ciphers: A New Direction
Successful Implementation of the Hill and Magic Square Ciphers: A New Direction ISSN:319-7900 Tomba I. : Dept. of Mathematics, Manipur University, Imphal, Manipur (INDIA) Shibiraj N, : Research Scholar
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 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 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 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 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 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 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 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 informationRobust Location Tag Generation from Noisy Location Data for Security Applications
Robust Locato Tag Geerato from Nosy Locato Data for Securty Applcatos D Qu, Da Boeh, Sherma Lo, Per Ege, Staford Uversty BIOGRAPHY D Qu s a Ph.D. caddate Aeroautcs ad Astroautcs workg the Global Postog
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 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 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 informationComparison of tuner-based noise-parameter extraction methods for measurements of room-temperature SKA LNAs
Comparo of tuer-baed oe-parameter extracto method for meauremet of room-temperature SKA LNA Leod Belototk May 4, 00 L. Belototk May 4, 00, BUY Outle Reew: Two-port etwork Noe-parameter meauremet Equpmet
More informationFUZZY MEASURES FOR STUDENTS MATHEMATICAL MODELLING SKILLS
Iteratoal Joural of uzzy Logc Systems (IJLS) Vol., No., Aprl 0 UZZY MEASURES OR STUDENTS MATHEMATICAL MODELLING SKILLS Mchael Gr. Voskoglou School of Techologcal Applcatos Graduate Techologcal Educatoal
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 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 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 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 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 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 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 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 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 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 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 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 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 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 informationResearch on System-level Calibration of Automated Test Equipment based. Least Square Method
Research o System-level Calbrato of Automated Test Equpmet based Least Square Method Wag Yog*,,, Zhag Juwe,, Qu Laku,, Zhag Lwe, ad Su Shbao 3 College of Electrcal Egeerg, Hea Uversty of Scece ad Techology,
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 informationJoint Centralized Power Control and Cell Sectoring for Interference Management in CDMA Cellular Systems in a 2D Urban Environment
Wreless Sesor Network, 010,, 599-605 do:10.436/ws.010.8071 Publshed Ole August 010 (http://www.scrp.org/joural/ws) Jot Cetralzed Power Cotrol ad Cell Sectorg for Iterferece Maagemet CDMA Cellular Systems
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 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 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 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 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 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 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 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 informationMeasures of variation or measures of spread: is a descriptive measure that describes how much variation or spread there is in a data set.
Secto.6 Meaure o Dpero Meaure o varato or meaure o pread: a decrptve meaure that decrbe how much varato or pread there a data et. Wh th mportat? Whch Catheter IV mauacturer would ou preer to ue or purchag
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 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 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 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 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 informationTotal Station Survey Monitoring Through an Observation Window: A Systematic Error Correction to Remove the Effects of Glass Properties
Total Stato Survey Motorg Through a Observato Wdow: A Systematc Error Correcto to Remove the Effects of Glass Propertes Thomas B. Afe 1 ad Frederck T. Cawood 1 1 School of Mg Egeerg, Faculty of Egeerg
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 information