A Multimode Image Tracking System Based on Distributed Fusion


 Christiana Smith
 2 years ago
 Views:
Transcription
1 A Multmode Image Tracng System Based on Dstrbuted Fuson Ln zheng Chongzhao Han Dongguang Zuo Hongsen Yan School of Electroncs & nformaton engneerng, X an Jaotong Unversty X an, Shaanx, Chna Abstract In ths paper, a multmode mage tracng system was desgned, whch use the dstrbuted structure to fuse the tracng results of these modes. Because of the nose n mage, the presence of occluson, and the deformaton of traced target, some tracng algorthm may fal. So t s the man dea n ths paper to merge the advantages from all of the tracng algorthms, and then have a robust behave. There are three tracng models appled n ths syste whch are the modes based on regon, based on Bsnae, and based on dstngushed ponts. Each of these three modes contrbutes to the fuson center, and communcates to other models. The experence results show that ths system could overcome the common problems n tracng. Keywords: Image tracng, multmode, correlaton coeffcent, fuson Introducton Image tracng s an mportant researchng feld n mage processng and computer vson. In the tracng process, a lot of message related to the movng targets have been lost, because of the 3D to D projecton. As a result, mage tracng s normally an uncertan proble and some pror nowledge s appled to ths process to solve t. There are many mage tracng algorthms proposed now [][][3][4], whch utlze dfferent mage nformaton, and have dfference presuppostons. Each mode has ts own advantages and dsadvantages, and sometmes they can complment each other. So t s reasonable to fuse these tracng methods, and tae advantage of all of them. There are three tracng modes used n ths system. The frst s based on regon. Ths mode s stable f there s no serous occluson, and could locate the target accurately. Its man dsadvantages nclude two aspects. Under sunlght, the shadow of target may change, and sometmes tends to devod of target s texture. So mae the tracng dffcult. Secondly, f the target s occluded by another target, t s usually dffcult to dstngush these wth the method based on matchng. The second tracng mode s based on actve contour. The man characters of ths method are ts rapd convergng and accurate segment. But t has two defects. Frstly, the actve contour needs to be posted near the real contour before convergng, but an unease thng to do. Secondly, t may be wrong when there s even slght occluson. The last tracng mode s based on dstngushed ponts, whch are the salent character ponts on the target. The advantage of ths approach s that even n the presence of partal occluson, some of these ponts reman vsble and could be traced. The man dsadvantage of ths mode s that, the calculatng s very burdensome f the number of traced ponts s huge. And ths nd tracng method s less accurate than the prevous two modes. There are two basc structure used for fuse these tracng modes. One s centralzed structure, and the other s dstrbuton structure. Wthn the centralzed syste every sensor sends the orgn measurements to fuson center, so t s burdensome n the center and n the networ. Contrastvely, wthn the dstrbuton syste every sensor has ts own predctor, and just sends ths to the center. It s not a hard wor n fuson center wth dstrbuton structure, and the system s balanced. Thus n ths paper, dstrbuted structure s accepted. In fuson center, a Kalman flter was used. By estmatng the poston of the target s center n the fuson center, Matchng mass of regonbased tracng and dstngushed ponts based tracng are posted at the coarse postons respectvely. And the actve contour obtaned n last tracng step s also posted correctly n current step. Then wth searchng methods, these modes fnd out the correspondng measurements and update the condton vector, the covarance matrx respectvely. After that, these data are sent to the fuson center, whch wll update the condton vector and covarance matrx globally. As a result, advantages of each tracng mode are merged, whch maybe more accurate, and stable than a sngle tracng mode. In ths syste although the same mage sequence s analyzed, each tracng mode could get dfference part of nformaton from orgnal mages. By the way, t s possble for them to exchange nformaton each other. Snce the regon based tracng has used whole nformaton n the mage, t plays a ey role among these three tracng mode. Durng the tracng process based on regon, correlaton coeffcent between the mas and mage can be obtaned. Wth the coeffcent we can decde whether the target has been occluded, and the degree of occluson. The correlaton coeffcent s used as the belef measure for occluson. By t, the regon based tracng mode decdes f the tracng results of other two modes 83
2 wll be sent to fuson center. On the other hand, the actve contour method also plays an mportant role to the other modes, such as supplyng the ntal or updated mass for regonbased and dstngushed ponts based tracng. Ths paper s organzed as followng. In secton, these three tracng modes are constructed respectvely. The dstrbuted fuson system s bult n secton 3, whch conssts of a alman flter and these three modes. In secton 4, several experences are done wth ths system. And secton 5 s the concluson. Desgn of tracng modes In the multmode tracng syste three tracng modes are used, whch are the modes based on regon, based on actve contour, and based on dstngushed ponts. These three modes have advantanges and dsadvantages respectvely, and could complement each other.. Tracng mode based on actve contour In mage segment or mage tracng, actve contour s becomng a useful tool, whch s often a close curve, and deformable[5]. In an energy feld that correpondng to the edge nformaton n mage, the actve contour could graduately approach the real contour of target untl reach t. The man advantage of t than tradtonal segment method s that even n the presence of dscontnue or blurry edges, the actve contour segment the target well. An actve contour can be represented by a number of control ponts, whch determne the actve contour s shape. In ths paper, Bsplne actve contour s used, whch s very smooth and the control ponts number of t s very lttle [6]. For a presented target, the number of control ponts also decde the resoluton of segment. In mage tracng, a coarse contour s adequate. So lttle number of control ponts are used, and most detal parts along the real contour have been neglected. A correct segment wth actve contour n the frst mage s the essence for the next tracng of t and other two tracng modes. In the frst mage, f the result actve contour devate from real contour, t wll devate from target n followng mage sequence. Snce the result actve contour s also used to determne mass of regon based tracng and dstngushed ponted based tracng, a wrong actve contour may deform these mass, and decrease the matchng accurate of these two tracng modes. In ths paper, Accumulatve dfference method s used for coarsely segmentng the targets that enter the detecton regon of mage. Then the edge of the coarse segment s used as the ntal poston for actve contour. Pushed by the mage force, actve contour wll gradually converge to a stable poston whch compactly envelops the target n the frst mage. As a result, the segment of target s also obtaned. For the reason that an actve contour s deformable, t s used to trac the movng target, whose movement s not rapd. But f the target move very rapd and so exceed the trappng range of energy feld, the snae may lose t. For ths reason, t s neccesary to use a estmator for predct the coarse poston n the next mage. If the maneuverablty of targets s not strong, a common Kalman flter s sutable for the stuaton. Experences show that, the combne of actve contour and Kalman flter porform well n tracng[7]. Most actve contour has the ablty to shrn. It s reasonable for us to let the ntal actve contour beyond the target s real boundary n every mage. The detaled method s that, let the actve contour obtaned from prevous mage located at the predcted poston n current mage, then enlarge t by the scale.04~.08. Then the snae wll move stably, and the segment qualty can be mproved. The man advantages of actve contour method are ts hgh segment accurate, less expensve of tme.. Tracng mode based on regon Tracng mode based on regon s a mas matchng process. By analyzng the correlaton coeffcents between the mas and a search wndow wthn mage, the target s center s determned n the mage sequence []. It provdes an accurate locaton for target because t uses the full nformaton of target, such as color, texture, etc. There are two man factors nfluence the behavor of ths tracng mode. Frstly, the mas couldn t be posted too far from the target s true poston. Otherwse the searchng wndow needs to be very large for tracng t, and the tme expense also ncreases. For solvng ths proble Kalman flter same as prevous subsecton can be used. Secondly, the mas must reflect the change of target. Usng the segment result of actve contour, the mas could be obtaned and updated f necessary. The mas plays an mportant role n tracng. For gettng t, segment result of actve contour s used. By enclosng the segment wth a rectangle, whose edges are tangent to the segment, and rest parts are full wth zeros, the mas can be got. Once the mas s set to the predcted poston accordng to the Kalman flter s estmaton, a searchng wor for best match starts. If the correlaton coeffcent s defned as C( R( = C( C ( where, M N C ( = f(, j) MN = j= and C ( M ) ( N ) ( = f ( m +, n + j) MN = ( M ) j= ( N ) 833
3 C( MN M N = = j= f (, j) M + N + f ( m +, n + j ), and f(, j) s the mas, whose sze s MN. f s the current mage. ( s a searchng poston n the searchng wndow, whch s a rectangle area n f and centralzes the predcted poston. Then the poston correspondng to the maxmum correlaton coeffcent wthn the searchng wndow s determned as the measurement for target center. Through the tracng, f the target manly moves n translaton mode, the projecton of target may not change except the scale. So the scale of mas must change automatcally. To do ths wor, two new mass are used, whch ncreases, decreases the scale respectvely. The mas that provdes the best matchng s selected and preserved for next tracng step..3 Tracng based on dstngushed ponts Tracng mode based on dstngushed ponts s also usng mas matchng. But the mass are small regons of the target, whch centralze dstngushed ponts [8]. Dstngushed ponts are the salent ponts on the target. Fndng them out s the ey n ths tracng mode. There are many methods to do ths wor. In ths paper, a method based on quadrature par of flters s appled to analyss these ponts [9]. A smple form of quadrature par of flters s the combnaton of the steerable flter and ts Hlbert transfor wth whch the local orented energy and the correspondng domnant orent can be obtan. In ths paper, the second dervatve of the Gaussan functon along x drecton, s selected as the steerable flter: ( x + y ) ( x + y ) G = e = (4x ) e x ts Hlbert transform denote as H, then the energy along any drecton θ s θ E( x, y, θ ) = I( x, * G () θ + I( x, * H Accordng to method n [0], the domnant orentaton θ d and local orented energy E d are calculated, whch correspond to the maxmum orented energy at every pxel. E d reflects the texture or edge map n the mage. Usng the method descrbed n [9], frstly, we transform the domnant orentaton n θ d at every 0 pxel wth 90, and get the vertcal orentaton map θ. Then the equaton () s used to calculate the v orentaton energy n map E d along orentaton θ v at every pxel respectvely. So the resultenergy map E v s obtaned, from whch the dstngushed ponts can be found out. Referrng to the segment of target wth actve contour method, a dstngushed ponts detecton algorthm s proposed. In map E v, ponts that satsfy the followng three condtons may be dstngushed ponts: () These ponts are wthn the range of target s segment. () In map E v, the energy of these pont s hgher than a threshold T = (0.8 ~ )E average, where E average s the average energy n E v. (3) In map E v, the energy of these ponts s local maxmum wthn a regon, whch sze s about ~ of the total area of mage. 6 5 As a result, there may be 4~6 dstngushng ponts obtaned. Every dstngushng pont has ts own mas for tracng usng matchng method. But they are dfferent from the mas used n regon based tracng mode, because they are just some small local areas on the target. Snce these dstngushng ponts dstrbute wdely on the target, there may be some of them could be seen even when the target s serously occluded. So the man advantage of ths nd of tracng mode s that t behaves well when occluson exts. The man dsadvantages of ths method nclude two aspects. Frstly, t s tme expensve because there are too many pont need to be matched. Secondly, the accurate s not hgh. Snce the mas s small, the matchng may be nfluence by nose or other smlar structure on target. 3 The dstrbuted fuson system In ths paper, a dstrbuted fuson system s used to merge the tracng results from three tracng modes. Snce the data t receves s very smple, t wll wor easly and the data exchange n networ s not burdensome []. See fgure, the system conssts of a fuson center and three tracng models. The fuson center s a specal Kalman flter, whch feedbacs to every tracng mode, and thus unfes the condton vector and covarance n the three subtracng modes. In ths paper, the three tracng mode has the common condton vector, whch conssts of fve elements. T x ˆ = [ x y x& y& λ] where, ( x, y ) s the coordnaton of target s center. And ( x &, y& ) s the velocty of target s center. λ s the scale f the projecton of target enlarges or shrns. 834
4 Wth the same estmate of condton vector xˆ( t, t ) = [ x( t t ) y( t t ) x& ( t t ) T y& ( t t ) λ( t t )], whch obtaned by dstrbuted fuson center, every tracng mode would fnd the correspondng coarse poston n tme t. For the tracng modes based on actve contour and regon, the ntal actve contour and mas are just place at ( x ( t t ), y( t t )). For the tracng based on dstngushed ponts, the center of th mas has a devaton from ( x ( t t ), y( t t )) accordng to scale λ. x = x( t t ) + λ( t t ) x y = y( t, t ) + λ( t t ) * y, =,,L N where, ( x, y ) s the devaton of th dstngushng pont from target s center n the frst mage. N s the number of dstngushng ponts. Wth these measurements, every tracng mode updates ts own observaton vector and covarance matrx wth customary Kalman equaton []. Then these data are translated to fuson center. Accordng to [], and consderng that some of tracng modes would not be used durng some perod, the global updates of observaton vector and covarance matrx s P( t t) = ( P ( t t ) + 3 = xˆ( t t) = P( t t) *{ P 3 = w [ P w [ P ( t t) xˆ ( t t) ( t t) P ( t t )]) ( t t ) * xˆ( t t ) + P ( t t ) * xˆ( t t )]} where, w = 0, s the power of every tracng mode, whch s used as swtches of these tracng modes. The correlaton coeffcent calculated n regonbased tracng s used to determne the w, =,, 3 accordng to the followng crteron. () If the correlaton coeffcent s hgher than a threshold T, the occluson may not occur or occluson s very lght. As a result, the tracng results of modes based on actve contour and regon are sent to fuson center. But the tracng result of dstngushed ponts method s not used, for save the tme and accuracy. () If the correlaton coeffcent s smaller than T, the occluson may be occurrng. As a result, the tracng result of dstngushed ponts method s sent to fuson center. But others wll be dscarded. Global update Fuson center W W3 W Local update Occluson local update local update 3 occur? Global estmate Correlaton Actve contour based tracng mode coeffcent Regon based tracng mode Dstngushed ponts based tracng mode Image sequence obtaned by a statc camera Fgure : the structure of multmode tracng system 835
5 4 experence and result analyss In ths paper, two experences are presented. In the frst sequence, there s just one car n the scene. Usng the fuson system descrbed n fgure, the tracng result s presented, where we can see that w 3 s always zero, for there s no occluson. The tracng trajectory s shown n fgure, whch s very stable. Because of the complexty n the bacground, and the nose n the mage, the actve contour behaves not very well. But t can catch the man part of the target. (a) (b) (a) (c) (d) 0 (b) Fgure (a)(d) are tracng result usng actve contour method, whch denoted by whte curve. And usng regon based method, whch denoted by blac rectangle. The whte star on the car s the predcted poston of center by the fuson center. (f) s the tracng trajectory. The second sequence s about a hgh way, n whch a truc on the upper rght corner s traced. Snce there s car exceedng t, the occluson occurs. For a robust tracng, the dstngushed ponts based tracng s used, whch present a better result than regon based tracng. In fgure 3, the + are sgned for the center of target, f the tracng mode based on regon and actve contour are used. The star s sgned f the dstngushed ponted based method s appled. (e) (c) (c (d) (c) (d) 836
6 (e) Fgure 3: The tracng of upper rght truc, whch s runnng left. (a) 7 th mage. A car begns to exceed the truc (b) th mage. the car occludes part of the truc. (c) 9 th mage, the car s under the truc, but dd not occlude the texture of truc. (d) 48 th mage. the car has exceeded the truc, and truc run stably. (e) the trajectory of truc from rght to left. When t s n occluson, the damond sgn s used; otherwse the crcle s used. The dmenson unt s 0 pxels. In Experence, from mage ~, there are occluson and bacground nose dsturbance. So the tracng mode based on dstngushed ponts s used. Durng ths perod, the modes based on regon and actve contour are runnng yet, but the results have not been sent to fuson center. The experence result shows that, even wth occluson, the multmode tracng system wll behave well by shftng the tracng mode. 5 Concluson In ths paper, a multmode tracng system based on dstrbuted fuson s bult, n whch three tracng modes are complementary to each other. Among these, regon based mode plays a ey role, whch affects other two tracng modes. Experence results show that ths tracng system tracs stable. It s the wor n future to mae the system sutable for more complex stuatons. [3] Zheng,Q.;Chellappa,R. Automatc feature pont extracton and tracng n mage sequences for unnown camera moton. Computer Vson, 993. Proceedngs., Fourth Internatonal Conference on, Aprl 993 Page(s): [4] Yu Zhong; Jan, A.K.; DubussonJolly, M.P. Object tracng usng deformable templates. Pattern Analyss and Machne Intellgence, IEEE Transactons on, Volume: Issue: 5, May 000 Page(s): [5] M.Kass, A.Wtn, and D.Terzopoulos,Snaes :actve contour models. Int. Journal of Computer Vson, vol., pp.3 33,987 [6] Mao Wang, Joyce Evans, Laurence Hassebroo, Charles napp. A Multstage, Optmal Actve Contour Model. IEEE Trans. On Image processng. Vol 5,No.,996. pp: [7] Peterfreund, N. Robust tracng of poston and velocty wth Kalman snaes. Pattern Analyss and Machne Intellgence, IEEE Transactons on, Volume: Issue: 6, June 999 Page(s): [8] Beymer, D.; McLauchlan, P.; Cofman, B.; Mal, J. A realtme computer vson system for measurng traffc parameters. Computer Vson and Pattern Recognton, 997. Proceedngs., 997 IEEE Computer. Socety Conference on, 997. Page(s): [9] Benjamn John Robbns.The Detecton Of D Image Features Usng Local Energy. PHD. Thess. 996 [0] W. T. Freeman and E. H. Adelson, The Desgn and use of steerable flters, IEEE Trans, Pattern Anal.Machne Intell., vol.pami 3, pp ,99. [] Y.BarShalo Multtarget Multsensor Tracng : Advanced Applcatons. Artech,990 [] A.Gelb,Appled Optmal Estmaton, the MIT Press,MA,and London,UK,974 Reference [] Gan Luca Forest, Vttoro Murno, Carlo Regazzon, Vehcle Recognton and Tracng from Road Image Sequences. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 48, NO., JANUARY 999 [] Bascle, B.; Derche, R. Regon tracng through mage sequences. Computer Vson, 995.Proceedngs,Ffth Internatonal Conference on, 995 Page(s):
Vehicle Detection and Tracking in Video from Moving Airborne Platform
Journal of Computatonal Informaton Systems 10: 12 (2014) 4965 4972 Avalable at http://www.jofcs.com Vehcle Detecton and Trackng n Vdeo from Movng Arborne Platform Lye ZHANG 1,2,, Hua WANG 3, L LI 2 1 School
More informationForecasting the Direction and Strength of Stock Market Movement
Forecastng the Drecton and Strength of Stock Market Movement Jngwe Chen Mng Chen Nan Ye cjngwe@stanford.edu mchen5@stanford.edu nanye@stanford.edu Abstract  Stock market s one of the most complcated systems
More informationVision Mouse. Saurabh Sarkar a* University of Cincinnati, Cincinnati, USA ABSTRACT 1. INTRODUCTION
Vson Mouse Saurabh Sarkar a* a Unversty of Cncnnat, Cncnnat, USA ABSTRACT The report dscusses a vson based approach towards trackng of eyes and fngers. The report descrbes the process of locatng the possble
More informationThe Development of Web Log Mining Based on ImproveKMeans Clustering Analysis
The Development of Web Log Mnng Based on ImproveKMeans Clusterng Analyss TngZhong Wang * College of Informaton Technology, Luoyang Normal Unversty, Luoyang, 471022, Chna wangtngzhong2@sna.cn Abstract.
More informationAn Enhanced SuperResolution System with Improved Image Registration, Automatic Image Selection, and Image Enhancement
An Enhanced SuperResoluton System wth Improved Image Regstraton, Automatc Image Selecton, and Image Enhancement YuChuan Kuo ( ), ChenYu Chen ( ), and ChouShann Fuh ( ) Department of Computer Scence
More informationA machine vision approach for detecting and inspecting circular parts
A machne vson approach for detectng and nspectng crcular parts DuMng Tsa Machne Vson Lab. Department of Industral Engneerng and Management YuanZe Unversty, ChungL, Tawan, R.O.C. Emal: edmtsa@saturn.yzu.edu.tw
More informationMultivariate EWMA Control Chart
Multvarate EWMA Control Chart Summary The Multvarate EWMA Control Chart procedure creates control charts for two or more numerc varables. Examnng the varables n a multvarate sense s extremely mportant
More informationFace Verification Problem. Face Recognition Problem. Application: Access Control. Biometric Authentication. Face Verification (1:1 matching)
Face Recognton Problem Face Verfcaton Problem Face Verfcaton (1:1 matchng) Querymage face query Face Recognton (1:N matchng) database Applcaton: Access Control www.vsage.com www.vsoncs.com Bometrc Authentcaton
More informationAn interactive system for structurebased ASCII art creation
An nteractve system for structurebased ASCII art creaton Katsunor Myake Henry Johan Tomoyuk Nshta The Unversty of Tokyo Nanyang Technologcal Unversty Abstract NonPhotorealstc Renderng (NPR), whose am
More informationbenefit is 2, paid if the policyholder dies within the year, and probability of death within the year is ).
REVIEW OF RISK MANAGEMENT CONCEPTS LOSS DISTRIBUTIONS AND INSURANCE Loss and nsurance: When someone s subject to the rsk of ncurrng a fnancal loss, the loss s generally modeled usng a random varable or
More informationCONSISTENT VEHICLES TRACKING BY USING A COOPERATIVE DISTRIBUTED VIDEO SURVEILLANCESYSTEM
Internatonal Research Journal of Appled and Basc Scences 2013 Avalable onlne at www.rjabs.com ISSN 2251838X / Vol, 4 (12):36583663 Scence Explorer Publcatons CONSISTENT VEHICLES TRACKING BY USING A COOPERATIVE
More information"Research Note" APPLICATION OF CHARGE SIMULATION METHOD TO ELECTRIC FIELD CALCULATION IN THE POWER CABLES *
Iranan Journal of Scence & Technology, Transacton B, Engneerng, ol. 30, No. B6, 789794 rnted n The Islamc Republc of Iran, 006 Shraz Unversty "Research Note" ALICATION OF CHARGE SIMULATION METHOD TO ELECTRIC
More informationA MultiCamera System on PCCluster for Realtime 3D Tracking
The 23 rd Conference of the Mechancal Engneerng Network of Thaland November 4 7, 2009, Chang Ma A MultCamera System on PCCluster for Realtme 3D Trackng Vboon Sangveraphunsr*, Krtsana Uttamang, and
More informationAPPLICATION OF PROBE DATA COLLECTED VIA INFRARED BEACONS TO TRAFFIC MANEGEMENT
APPLICATION OF PROBE DATA COLLECTED VIA INFRARED BEACONS TO TRAFFIC MANEGEMENT Toshhko Oda (1), Kochro Iwaoka (2) (1), (2) Infrastructure Systems Busness Unt, Panasonc System Networks Co., Ltd. Saedocho
More informationSolution of Algebraic and Transcendental Equations
CHAPTER Soluton of Algerac and Transcendental Equatons. INTRODUCTION One of the most common prolem encountered n engneerng analyss s that gven a functon f (, fnd the values of for whch f ( = 0. The soluton
More informationLETTER IMAGE RECOGNITION
LETTER IMAGE RECOGNITION 1. Introducton. 1. Introducton. Objectve: desgn classfers for letter mage recognton. consder accuracy and tme n takng the decson. 20,000 samples: Startng set: mages based on 20
More informationDistributed MultiTarget Tracking In A SelfConfiguring Camera Network
Dstrbuted MultTarget Trackng In A SelfConfgurng Camera Network Crstan Soto, B Song, Amt K. RoyChowdhury Department of Electrcal Engneerng Unversty of Calforna, Rversde {cwlder,bsong,amtrc}@ee.ucr.edu
More informationCommunication Networks II Contents
8 / 1  Communcaton Networs II (Görg)  www.comnets.unbremen.de Communcaton Networs II Contents 1 Fundamentals of probablty theory 2 Traffc n communcaton networs 3 Stochastc & Marovan Processes (SP
More informationTime Series Analysis in Studies of AGN Variability. Bradley M. Peterson The Ohio State University
Tme Seres Analyss n Studes of AGN Varablty Bradley M. Peterson The Oho State Unversty 1 Lnear Correlaton Degree to whch two parameters are lnearly correlated can be expressed n terms of the lnear correlaton
More information9.1 The Cumulative Sum Control Chart
Learnng Objectves 9.1 The Cumulatve Sum Control Chart 9.1.1 Basc Prncples: Cusum Control Chart for Montorng the Process Mean If s the target for the process mean, then the cumulatve sum control chart s
More informationINVESTIGATION OF VEHICULAR USERS FAIRNESS IN CDMAHDR NETWORKS
21 22 September 2007, BULGARIA 119 Proceedngs of the Internatonal Conference on Informaton Technologes (InfoTech2007) 21 st 22 nd September 2007, Bulgara vol. 2 INVESTIGATION OF VEHICULAR USERS FAIRNESS
More informationModule 2 LOSSLESS IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur
Module LOSSLESS IMAGE COMPRESSION SYSTEMS Lesson 3 Lossless Compresson: Huffman Codng Instructonal Objectves At the end of ths lesson, the students should be able to:. Defne and measure source entropy..
More informationA DATA MINING APPLICATION IN A STUDENT DATABASE
JOURNAL OF AERONAUTICS AND SPACE TECHNOLOGIES JULY 005 VOLUME NUMBER (5357) A DATA MINING APPLICATION IN A STUDENT DATABASE Şenol Zafer ERDOĞAN Maltepe Ünversty Faculty of Engneerng BüyükbakkalköyIstanbul
More informationA Suspect Vehicle Tracking System Based on Video
3rd Internatonal Conference on Multmeda Technology ICMT 2013) A Suspect Vehcle Trackng System Based on Vdeo Yad Chen 1, Tuo Wang Abstract. Vdeo survellance systems are wdely used n securty feld. The large
More informationDetecting Global Motion Patterns in Complex Videos
Detectng Global Moton Patterns n Complex Vdeos Mn Hu, Saad Al, Mubarak Shah Computer Vson Lab, Unversty of Central Florda {mhu,sal,shah}@eecs.ucf.edu Abstract Learnng domnant moton patterns or actvtes
More informationCHOLESTEROL REFERENCE METHOD LABORATORY NETWORK. Sample Stability Protocol
CHOLESTEROL REFERENCE METHOD LABORATORY NETWORK Sample Stablty Protocol Background The Cholesterol Reference Method Laboratory Network (CRMLN) developed certfcaton protocols for total cholesterol, HDL
More informationMACHINE VISION SYSTEM FOR SPECULAR SURFACE INSPECTION: USE OF SIMULATION PROCESS AS A TOOL FOR DESIGN AND OPTIMIZATION
MACHINE VISION SYSTEM FOR SPECULAR SURFACE INSPECTION: USE OF SIMULATION PROCESS AS A TOOL FOR DESIGN AND OPTIMIZATION R. SEULIN, F. MERIENNE and P. GORRIA Laboratore Le2, CNRS FRE2309, EA 242, Unversté
More informationRESEARCH ON DUALSHAKER SINE VIBRATION CONTROL. Yaoqi FENG 1, Hanping QIU 1. China Academy of Space Technology (CAST) yaoqi.feng@yahoo.
ICSV4 Carns Australa 9 July, 007 RESEARCH ON DUALSHAKER SINE VIBRATION CONTROL Yaoq FENG, Hanpng QIU Dynamc Test Laboratory, BISEE Chna Academy of Space Technology (CAST) yaoq.feng@yahoo.com Abstract
More informationWhat is Candidate Sampling
What s Canddate Samplng Say we have a multclass or mult label problem where each tranng example ( x, T ) conssts of a context x a small (mult)set of target classes T out of a large unverse L of possble
More informationVehicle Detection, Classification and Position Estimation based on Monocular Video Data during Nighttime
Vehcle Detecton, Classfcaton and Poston Estmaton based on Monocular Vdeo Data durng Nghttme Jonas Frl, Marko H. Hoerter, Martn Lauer and Chrstoph Stller Keywords: Automotve Lghtng, Lghtbased Drver Assstance,
More informationShadow Elimination Method for Video Surveillance
Vol 3, No 7 Modern Appled Scence Shadow Elmnaton Method for Vdeo Survellance Huaqang Lu Department of Physcs Lny Normal Unversty Lny 276005, Chna Emal: huaqang1019@163com Feng Guo College of Engneerng
More informationTraffic State Estimation in the Traffic Management Center of Berlin
Traffc State Estmaton n the Traffc Management Center of Berln Authors: Peter Vortsch, PTV AG, Stumpfstrasse, D763 Karlsruhe, Germany phone ++49/72/965/35, emal peter.vortsch@ptv.de Peter Möhl, PTV AG,
More informationThe Application of Fractional Brownian Motion in Option Pricing
Vol. 0, No. (05), pp. 738 http://dx.do.org/0.457/jmue.05.0..6 The Applcaton of Fractonal Brownan Moton n Opton Prcng Qngxn Zhou School of Basc Scence,arbn Unversty of Commerce,arbn zhouqngxn98@6.com
More informationSIMPLE LINEAR CORRELATION
SIMPLE LINEAR CORRELATION Smple lnear correlaton s a measure of the degree to whch two varables vary together, or a measure of the ntensty of the assocaton between two varables. Correlaton often s abused.
More informationL10: Linear discriminants analysis
L0: Lnear dscrmnants analyss Lnear dscrmnant analyss, two classes Lnear dscrmnant analyss, C classes LDA vs. PCA Lmtatons of LDA Varants of LDA Other dmensonalty reducton methods CSCE 666 Pattern Analyss
More informationVEHICLE DETECTION BY USING REAR PARTS AND TRACKING SYSTEM
IJRET: Internatonal Journal of Research n Engneerng and Technology eissn: 23191163 pissn: 23217308 VEHICLE DETECTION BY USING REAR PARTS AND TRACKING SYSTEM Yogn Ashokrao Kanhegaonkar 1, Jagtap Rupal
More informationCharacterization of Assembly. Variation Analysis Methods. A Thesis. Presented to the. Department of Mechanical Engineering. Brigham Young University
Characterzaton of Assembly Varaton Analyss Methods A Thess Presented to the Department of Mechancal Engneerng Brgham Young Unversty In Partal Fulfllment of the Requrements for the Degree Master of Scence
More informationCS 2750 Machine Learning. Lecture 17a. Clustering. CS 2750 Machine Learning. Clustering
Lecture 7a Clusterng Mlos Hauskrecht mlos@cs.ptt.edu 539 Sennott Square Clusterng Groups together smlar nstances n the data sample Basc clusterng problem: dstrbute data nto k dfferent groups such that
More informationForecasting the Demand of Emergency Supplies: Based on the CBR Theory and BP Neural Network
700 Proceedngs of the 8th Internatonal Conference on Innovaton & Management Forecastng the Demand of Emergency Supples: Based on the CBR Theory and BP Neural Network Fu Deqang, Lu Yun, L Changbng School
More informationAirplane Detection in RemoteSensing Image. with A CircleFrequency Filter
Arplane Detecton n RemoteSensng Image wth A CrcleFrequency Flter CAI Hongpng, SU Y (School of Electronc Scence and Engneerng, atonal Unversty of Defense Technology, Changsha, 410073 Chna) ABSTRACT Ths
More informationNonlinear data mapping by neural networks
Nonlnear data mappng by neural networks R.P.W. Dun Delft Unversty of Technology, Netherlands Abstract A revew s gven of the use of neural networks for nonlnear mappng of hgh dmensonal data on lower dmensonal
More informationMAPP. MERIS level 3 cloud and water vapour products. Issue: 1. Revision: 0. Date: 9.12.1998. Function Name Organisation Signature Date
Ttel: Project: Doc. No.: MERIS level 3 cloud and water vapour products MAPP MAPPATBDClWVL3 Issue: 1 Revson: 0 Date: 9.12.1998 Functon Name Organsaton Sgnature Date Author: Bennartz FUB Preusker FUB Schüller
More informationEye Center Localization on a Facial Image Based on MultiBlock Local Binary Patterns
Eye Center Localzaton on a Facal Image Based on MultBloc Local Bnary Patterns Anatoly tn, Vladmr Khryashchev, Olga Stepanova Yaroslavl State Unversty Yaroslavl, Russa anatolyntnyar@gmal.com, vhr@yandex.ru,
More informationAn Evaluation of the Extended Logistic, Simple Logistic, and Gompertz Models for Forecasting Short Lifecycle Products and Services
An Evaluaton of the Extended Logstc, Smple Logstc, and Gompertz Models for Forecastng Short Lfecycle Products and Servces Charles V. Trappey a,1, Hsnyng Wu b a Professor (Management Scence), Natonal Chao
More informationOnLine Fault Detection in Wind Turbine Transmission System using Adaptive Filter and Robust Statistical Features
OnLne Fault Detecton n Wnd Turbne Transmsson System usng Adaptve Flter and Robust Statstcal Features Ruoyu L Remote Dagnostcs Center SKF USA Inc. 3443 N. Sam Houston Pkwy., Houston TX 77086 Emal: ruoyu.l@skf.com
More informationRealistic Image Synthesis
Realstc Image Synthess  Combned Samplng and Path Tracng  Phlpp Slusallek Karol Myszkowsk Vncent Pegoraro Overvew: Today Combned Samplng (Multple Importance Samplng) Renderng and Measurng Equaton Random
More informationPing Pong Fun  Video Analysis Project
Png Pong Fun  Vdeo Analyss Project Objectve In ths experment we are gong to nvestgate the projectle moton of png pong balls usng Verner s Logger Pro Software. Does the object travel n a straght lne? What
More informationGender Classification for RealTime Audience Analysis System
Gender Classfcaton for RealTme Audence Analyss System Vladmr Khryashchev, Lev Shmaglt, Andrey Shemyakov, Anton Lebedev Yaroslavl State Unversty Yaroslavl, Russa vhr@yandex.ru, shmaglt_lev@yahoo.com, andrey.shemakov@gmal.com,
More informationCan Auto Liability Insurance Purchases Signal Risk Attitude?
Internatonal Journal of Busness and Economcs, 2011, Vol. 10, No. 2, 159164 Can Auto Lablty Insurance Purchases Sgnal Rsk Atttude? ChuShu L Department of Internatonal Busness, Asa Unversty, Tawan ShengChang
More informationFeature selection for intrusion detection. Slobodan Petrović NISlab, Gjøvik University College
Feature selecton for ntruson detecton Slobodan Petrovć NISlab, Gjøvk Unversty College Contents The feature selecton problem Intruson detecton Traffc features relevant for IDS The CFS measure The mrmr measure
More informationThe Analysis of Covariance. ERSH 8310 Keppel and Wickens Chapter 15
The Analyss of Covarance ERSH 830 Keppel and Wckens Chapter 5 Today s Class Intal Consderatons Covarance and Lnear Regresson The Lnear Regresson Equaton TheAnalyss of Covarance Assumptons Underlyng the
More informationA hybrid global optimization algorithm based on parallel chaos optimization and outlook algorithm
Avalable onlne www.ocpr.com Journal of Chemcal and Pharmaceutcal Research, 2014, 6(7):18841889 Research Artcle ISSN : 09757384 CODEN(USA) : JCPRC5 A hybrd global optmzaton algorthm based on parallel
More informationIMPACT ANALYSIS OF A CELLULAR PHONE
4 th ASA & μeta Internatonal Conference IMPACT AALYSIS OF A CELLULAR PHOE We Lu, 2 Hongy L Bejng FEAonlne Engneerng Co.,Ltd. Bejng, Chna ABSTRACT Drop test smulaton plays an mportant role n nvestgatng
More informationSPEE Recommended Evaluation Practice #6 Definition of Decline Curve Parameters Background:
SPEE Recommended Evaluaton Practce #6 efnton of eclne Curve Parameters Background: The producton hstores of ol and gas wells can be analyzed to estmate reserves and future ol and gas producton rates and
More informationIdentifying Workloads in Mixed Applications
, pp.395400 http://dx.do.org/0.4257/astl.203.29.8 Identfyng Workloads n Mxed Applcatons Jeong Seok Oh, Hyo Jung Bang, Yong Do Cho, Insttute of Gas Safety R&D, Korea Gas Safety Corporaton, ShghungSh,
More informationResearch into a RFID Neural Network Localization Algorithm
, pp. 95304 http://dx.do.org/10.1457/jfgcn.016.9.5.8 Research nto a RFID Neural Network Localzaton Algorthm Jangang Jn Software Technology Vocatonal College, North Chna Unversty of Water Resources and
More informationMoment of a force about a point and about an axis
3. STATICS O RIGID BODIES In the precedng chapter t was assumed that each of the bodes consdered could be treated as a sngle partcle. Such a vew, however, s not always possble, and a body, n general, should
More informationFaraday's Law of Induction
Introducton Faraday's Law o Inducton In ths lab, you wll study Faraday's Law o nducton usng a wand wth col whch swngs through a magnetc eld. You wll also examne converson o mechanc energy nto electrc energy
More informationHuman Tracking by Fast Mean Shift Mode Seeking
JOURAL OF MULTIMEDIA, VOL. 1, O. 1, APRIL 2006 1 Human Trackng by Fast Mean Shft Mode Seekng [10 font sze blank 1] [10 font sze blank 2] C. Belezna Advanced Computer Vson GmbH  ACV, Venna, Austra Emal:
More informationColocalization of Fluorescent Probes
Colocalzaton of Fluorescent Probes APPLICATION NOTE #1 1. Introducton Fluorescence labelng technques are qute useful to mcroscopsts. Not only can fluorescent probes label subcellular structures wth a
More informationCalculating the high frequency transmission line parameters of power cables
< ' Calculatng the hgh frequency transmsson lne parameters of power cables Authors: Dr. John Dcknson, Laboratory Servces Manager, N 0 RW E B Communcatons Mr. Peter J. Ncholson, Project Assgnment Manager,
More informationQuestions that we may have about the variables
Antono Olmos, 01 Multple Regresson Problem: we want to determne the effect of Desre for control, Famly support, Number of frends, and Score on the BDI test on Perceved Support of Latno women. Dependent
More informationI. SCOPE, APPLICABILITY AND PARAMETERS Scope
D Executve Board Annex 9 Page A/R ethodologcal Tool alculaton of the number of sample plots for measurements wthn A/R D project actvtes (Verson 0) I. SOPE, PIABIITY AD PARAETERS Scope. Ths tool s applcable
More informationPrediction of Wind Energy with Limited Observed Data
Predcton of Wnd Energy wth Lmted Observed Data Shgeto HIRI, khro HOND Nagasak R&D Center, MITSISHI HEVY INDSTRIES, LTD, Nagasak, 8539 JPN Masaak SHIT Nagasak Shpyard & Machnery Works, MITSISHI HEVY INDSTRIES,
More informationAutomated information technology for ionosphere monitoring of loworbit navigation satellite signals
Automated nformaton technology for onosphere montorng of loworbt navgaton satellte sgnals Alexander Romanov, Sergey Trusov and Alexey Romanov Federal State Untary Enterprse Russan Insttute of Space Devce
More informationSTANDING WAVE TUBE TECHNIQUES FOR MEASURING THE NORMAL INCIDENCE ABSORPTION COEFFICIENT: COMPARISON OF DIFFERENT EXPERIMENTAL SETUPS.
STADIG WAVE TUBE TECHIQUES FOR MEASURIG THE ORMAL ICIDECE ABSORPTIO COEFFICIET: COMPARISO OF DIFFERET EXPERIMETAL SETUPS. Angelo Farna (*), Patrzo Faust (**) (*) Dpart. d Ing. Industrale, Unverstà d Parma,
More informationAn InterestOriented Network Evolution Mechanism for Online Communities
An InterestOrented Network Evoluton Mechansm for Onlne Communtes Cahong Sun and Xaopng Yang School of Informaton, Renmn Unversty of Chna, Bejng 100872, P.R. Chna {chsun,yang}@ruc.edu.cn Abstract. Onlne
More informationRECOGNIZING DIFFERENT TYPES OF STOCHASTIC PROCESSES
RECOGNIZING DIFFERENT TYPES OF STOCHASTIC PROCESSES JONG U. KIM AND LASZLO B. KISH Department of Electrcal and Computer Engneerng, Texas A&M Unversty, College Staton, TX 778418, USA Receved (receved date)
More information1 Approximation Algorithms
CME 305: Dscrete Mathematcs and Algorthms 1 Approxmaton Algorthms In lght of the apparent ntractablty of the problems we beleve not to le n P, t makes sense to pursue deas other than complete solutons
More informationDocument Clustering Analysis Based on Hybrid PSO+Kmeans Algorithm
Document Clusterng Analyss Based on Hybrd PSO+Kmeans Algorthm Xaohu Cu, Thomas E. Potok Appled Software Engneerng Research Group, Computatonal Scences and Engneerng Dvson, Oak Rdge Natonal Laboratory,
More informationSingle and multiple stage classifiers implementing logistic discrimination
Sngle and multple stage classfers mplementng logstc dscrmnaton Hélo Radke Bttencourt 1 Dens Alter de Olvera Moraes 2 Vctor Haertel 2 1 Pontfíca Unversdade Católca do Ro Grande do Sul  PUCRS Av. Ipranga,
More informationInequality and The Accounting Period. Quentin Wodon and Shlomo Yitzhaki. World Bank and Hebrew University. September 2001.
Inequalty and The Accountng Perod Quentn Wodon and Shlomo Ytzha World Ban and Hebrew Unversty September Abstract Income nequalty typcally declnes wth the length of tme taen nto account for measurement.
More informationGraph Theory and Cayley s Formula
Graph Theory and Cayley s Formula Chad Casarotto August 10, 2006 Contents 1 Introducton 1 2 Bascs and Defntons 1 Cayley s Formula 4 4 Prüfer Encodng A Forest of Trees 7 1 Introducton In ths paper, I wll
More informationTexture Analysis and Modified Level Set Method for Automatic Detection of Bone Boundaries in Hand Radiographs
Texture Analyss and Modfed Level Set Method for Automatc Detecton of Bone Boundares n Hand Radographs Syaful Anam Graduate School of Scence and Engneerng Yamaguch Unversty Yamaguch, Japan Department of
More informationPerformance Analysis and Coding Strategy of ECOC SVMs
Internatonal Journal of Grd and Dstrbuted Computng Vol.7, No. (04), pp.6776 http://dx.do.org/0.457/jgdc.04.7..07 Performance Analyss and Codng Strategy of ECOC SVMs Zhgang Yan, and Yuanxuan Yang, School
More informationSupport Vector Machines
Support Vector Machnes Max Wellng Department of Computer Scence Unversty of Toronto 10 Kng s College Road Toronto, M5S 3G5 Canada wellng@cs.toronto.edu Abstract Ths s a note to explan support vector machnes.
More informationConversion between the vector and raster data structures using Fuzzy Geographical Entities
Converson between the vector and raster data structures usng Fuzzy Geographcal Enttes Cdála Fonte Department of Mathematcs Faculty of Scences and Technology Unversty of Combra, Apartado 38, 3 454 Combra,
More informationOn the Optimal Control of a Cascade of HydroElectric Power Stations
On the Optmal Control of a Cascade of HydroElectrc Power Statons M.C.M. Guedes a, A.F. Rbero a, G.V. Smrnov b and S. Vlela c a Department of Mathematcs, School of Scences, Unversty of Porto, Portugal;
More informationIntroduction to Regression
Introducton to Regresson Regresson a means of predctng a dependent varable based one or more ndependent varables. Ths s done by fttng a lne or surface to the data ponts that mnmzes the total error. 
More informationMultisensor Data Fusion for Cyber Security Situation Awareness
Avalable onlne at www.scencedrect.com Proceda Envronmental Scences 0 (20 ) 029 034 20 3rd Internatonal Conference on Envronmental 3rd Internatonal Conference on Envronmental Scence and Informaton Applcaton
More informationwhere the coordinates are related to those in the old frame as follows.
Chapter 2  Cartesan Vectors and Tensors: Ther Algebra Defnton of a vector Examples of vectors Scalar multplcaton Addton of vectors coplanar vectors Unt vectors A bass of noncoplanar vectors Scalar product
More informationTime Domain simulation of PD Propagation in XLPE Cables Considering Frequency Dependent Parameters
Internatonal Journal of Smart Grd and Clean Energy Tme Doman smulaton of PD Propagaton n XLPE Cables Consderng Frequency Dependent Parameters We Zhang a, Jan He b, Ln Tan b, Xuejun Lv b, HongJe L a *
More informationEXPLORATION 2.5A Exploring the motion diagram of a dropped object
5 Acceleraton Let s turn now to moton that s not at constant elocty. An example s the moton of an object you release from rest from some dstance aboe the floor. EXPLORATION.5A Explorng the moton dagram
More informationDescriptive Models. Cluster Analysis. Example. General Applications of Clustering. Examples of Clustering Applications
CMSC828G Prncples of Data Mnng Lecture #9 Today s Readng: HMS, chapter 9 Today s Lecture: Descrptve Modelng Clusterng Algorthms Descrptve Models model presents the man features of the data, a global summary
More informationLecture 3. 1 Largest singular value The Behavior of Algorithms in Practice 2/14/2
18.409 The Behavor of Algorthms n Practce 2/14/2 Lecturer: Dan Spelman Lecture 3 Scrbe: Arvnd Sankar 1 Largest sngular value In order to bound the condton number, we need an upper bound on the largest
More informationAutonomous Navigation and Map building Using Laser Range Sensors in Outdoor Applications
Autonomous Navgaton and Map buldng Usng aser Range Sensors n Outdoor Applcatons Jose Guvant, Eduardo Nebot and Stephan Baker Australan Centre for Feld Robotcs Department of Mechancal and Mechatronc Engneerng
More informationEvaluation of Coordination Strategies for Heterogeneous Sensor Networks Aiming at Surveillance Applications
Evaluaton of Coordnaton Strateges for Heterogeneous Sensor Networs Amng at Survellance Applcatons Edson Pgnaton de Fretas, *, Tales Hemfarth*, Carlos Eduardo Perera*, Armando Morado Ferrera, Flávo Rech
More informationA Secure PasswordAuthenticated Key Agreement Using Smart Cards
A Secure PasswordAuthentcated Key Agreement Usng Smart Cards Ka Chan 1, WenChung Kuo 2 and JnChou Cheng 3 1 Department of Computer and Informaton Scence, R.O.C. Mltary Academy, Kaohsung 83059, Tawan,
More informationBrigid Mullany, Ph.D University of North Carolina, Charlotte
Evaluaton And Comparson Of The Dfferent Standards Used To Defne The Postonal Accuracy And Repeatablty Of Numercally Controlled Machnng Center Axes Brgd Mullany, Ph.D Unversty of North Carolna, Charlotte
More informationA cooperative perception system for multiple UAVs: Application to automatic. detection of forest fires
A cooperatve percepton system for multple UAVs: Applcaton to automatc detecton of forest fres Lus Merno 1, Fernando Caballero 2, J. R. Martínezde Dos 2, Joaquín Ferruz 2 and Aníbal Ollero 2 Robotcs, Vson
More informationTrafficlight a stress test for life insurance provisions
MEMORANDUM Date 006097 Authors Bengt von Bahr, Göran Ronge Traffclght a stress test for lfe nsurance provsons Fnansnspetonen P.O. Box 6750 SE113 85 Stocholm [Sveavägen 167] Tel +46 8 787 80 00 Fax
More informationLecture 18: Clustering & classification
O CPS260/BGT204. Algorthms n Computatonal Bology October 30, 2003 Lecturer: Pana K. Agarwal Lecture 8: Clusterng & classfcaton Scrbe: Daun Hou Open Problem In HomeWor 2, problem 5 has an open problem whch
More informationPeriod and Deadline Selection for Schedulability in RealTime Systems
Perod and Deadlne Selecton for Schedulablty n RealTme Systems Thdapat Chantem, Xaofeng Wang, M.D. Lemmon, and X. Sharon Hu Department of Computer Scence and Engneerng, Department of Electrcal Engneerng
More informationAUTOMATICAL GENDER DETECTION FOR UNCONSTRAINED VIDEO SEQUENCES BASED ON COLLABORATIVE REPRESENTATION
ICSP2014 Proceedngs AUTOMATICAL GENDER DETECTION FOR UNCONSTRAINED VIDEO SEQUENCES BASED ON COLLABORATIVE REPRESENTATION Lja Lu, Weyang Lu, Yandong Wen, and Yuexan Zou School of Electronc & Computer Engneerng,
More information1 Example 1: Axisaligned rectangles
COS 511: Theoretcal Machne Learnng Lecturer: Rob Schapre Lecture # 6 Scrbe: Aaron Schld February 21, 2013 Last class, we dscussed an analogue for Occam s Razor for nfnte hypothess spaces that, n conjuncton
More informationVehicle Tracking Using Particle Filter for Parking Management System
2014 4th Internatonal Conference on Artfcal Intellgence wth Applcatons n Engneerng and Technology Vehcle Trackng Usng Partcle Flter for Parkng Management System Kenneth Tze Kn Teo, Renee Ka Yn Chn, N.S.V.
More informationFORCED CONVECTION HEAT TRANSFER IN A DOUBLE PIPE HEAT EXCHANGER
FORCED CONVECION HEA RANSFER IN A DOUBLE PIPE HEA EXCHANGER Dr. J. Mchael Doster Department of Nuclear Engneerng Box 7909 North Carolna State Unversty Ralegh, NC 276957909 Introducton he convectve heat
More informationThe Analysis of Outliers in Statistical Data
THALES Project No. xxxx The Analyss of Outlers n Statstcal Data Research Team Chrysses Caron, Assocate Professor (P.I.) Vaslk Karot, Doctoral canddate Polychrons Economou, Chrstna Perrakou, Postgraduate
More informationData Broadcast on a MultiSystem Heterogeneous Overlayed Wireless Network *
JOURNAL OF INFORMATION SCIENCE AND ENGINEERING 24, 819840 (2008) Data Broadcast on a MultSystem Heterogeneous Overlayed Wreless Network * Department of Computer Scence Natonal Chao Tung Unversty Hsnchu,
More informationDEFINING %COMPLETE IN MICROSOFT PROJECT
CelersSystems DEFINING %COMPLETE IN MICROSOFT PROJECT PREPARED BY James E Aksel, PMP, PMISP, MVP For Addtonal Informaton about Earned Value Management Systems and reportng, please contact: CelersSystems,
More information