A New Robotic 3D Inspection System of Automotive Screw Hole

Size: px
Start display at page:

Download "A New Robotic 3D Inspection System of Automotive Screw Hole"

Transcription

1 740 Moon-Hong Baeg, Internatonal Seung-Ho Journal Baeg, of Control, Chanwoo Autoaton, Moon, Gu-Mn and Jeong, Sstes, Hun-Sk vol. 6, no. Ahn, 5, and pp , Do-Hun Otober K 2008 A New Robot 3D Inspeton Sste of Autootve Srew Hole Moon-Hong Baeg, Seung-Ho Baeg, Chanwoo Moon*, Gu-Mn Jeong, Hun-Sk Ahn, and Do-Hun K Abstrat: Ths paper presents a new non-ontat 3D robot nspeton sste to easure the prese postons of srew and punh holes on a ar bod frae. The newl developed sensor onssts of a CCD aera, two laser lne generators and LED lght. Ths lghtweght sensor an be ounted on an ndustral robot hand. An nspeton algorth and sste that work wth ths sensor s presented. In perforane evaluaton tests, the easureent aura of ths nspeton sste was about 200 μ, whh s a suffent aura n the autootve ndustr. Kewords: 3D sensor, frae nspeton, laser, srew hole, robot 3D nspeton sste, vson. 1. INTRODUCTION Produtvt and qualt of the fnshed ar are portant n autootve ndustr. To prove the, a hgh preson autoat sste whh nspets the qualt of welds and assebl, algnent of holes and bod ft s ndspensable, and varous nspeton sstes whh use oputer vson and laser sensor deves have been proposed [1-4]. Espeall, the algnents of holes and parts are portant, beause prese postonng of punhes and srew holes on a bod frae an twst the frae, loosen srews, produe vbraton and deterorate other qualtes. Therefore, these holes and parts need to be nspeted wth preson for hgh qualt ontrol. Pereptron, In. of USA released a non-ontat 3D vsual nspeton sste for the autootve ndustr [5], and two knds of nspeton ethods were proposed. The frst ethod uses ultple sensors whh are arranged all over the bod frae to easure the shape of the frae, but f the nspeton ponts are hanged, all sensors need to be rearranged. In the seond ethod, the sensor sste s ounted on a robot hand, and the robot nspets the target ponts whose postons are stored n advane. Manusrpt reeved June 5, 2007; revsed Januar 14, 2008; aepted Marh 20, Reoended b Edtoral Board eber Sangdeok Park under the dreton of Edtor Jae-Bok Song. Moon-Hong Baeg and Seung-Ho Baeg are wth the Appled Robot Tehnolog Dvson, KITECH, Sa 1-dong, Sangnok-gu, Ansan-s, Geongg-do, Korea (e-als: {hbaeg, shbaeg}@kteh.re.kr). Chanwoo Moon, Gu-Mn Jeong, Hun-Sk Ahn, and Do- Hun K are wth the College of Eletral Engneerng & Coputer Sene, Kookn Unverst, 861-1, Jeongneungdong, Seongbuk-gu, Seoul, Korea (e-als: {wnt, g1004, ahs, dhk@kookn. a.kr). * Correspondng author. The latter ethod s preferred beause of the flexblt of a robot sste, but ths sste has soe nonvenenes. Frstl, the gathered poston data are expressed wth respet to the sensor oordnate sste, not to the referene oordnate sste, and the nspeton sste onl opares the obtaned data wth the odel. Therefore, the bod frae ust be fxed at the exat poston to nspet the atual poston. Seondl, f the nspeton pont s not perpendular to the sensor sste, easureents beoe naurate. 3D laser sanners whh nspet the surfae of the objet were oeralzed b soe vendors, but the have nsuffent aura and requre long easureent te to easure the prese poston of a hole on-lne. Vson sstes whh easure the postons of holes were reported [6,7], but the were naurate for the autootve ndustr. As a result, a new sste to nspet the srews and punh holes of a frae was needed. Ths paper presents a new non-ontat 3D robot nspeton sste and an algorth to easure the prese postons of srews and punh holes on an autootve bod frae. A newl developed lghtweght sensor, whh onssts of a CCD aera, two laser lne generators and LED lght an be ounted on the robot s hand to ove fro an nspeton pont to another nspeton pont as the robot s taught. 2. PROPOSED SENSOR SYSTEM Not a few assebl operatons are nserton operatons of autootve parts nto holes, and these holes are postoned all over the bod frae. The holes loated on the underbod of the frae an not be nspeted wth the establshed ethods suh as stereo vson and the laser lght ut ethod [8,9]. To easure the prese 3D postons of these holes, a new sensor sste whh onssts of a CCD aera, 2 laser lne generators and LED lght s proposed. A

2 A New Robot 3D Inspeton Sste of Autootve Srew Hole 741 ud tanθ =, x x X x vd tanθ =, x x Y x fd tanθ =. x x Z x (4) Fg. 1. Modelng of the proposed sensor sste. oordnate odel of the proposed sensor sste s depted n Fg 1. The sensor oordnate s loated n the enter of the aera whh s odeled as a pnhole aera, and two laser lne generators, the X- laser and Y-laser, are loated on the Y and X axs, respetvel. A hole for nspeton s on plane p. Here, d x : Dstane between X-laser and the aera oordnate θ x : Angle between X-laser and the aera oordnate d : Dstane between Y-laser and the aera oordnate θ : Angle between Y-laser and the aera oordnate f : Effetve Foal Length S x : Slt bea of X-laser S : Slt bea of Y-laser. C C C A pont P( X, Y, Z ) on the objet whh s spotted b laser beas S x and S are projeted onto ( u, v ) of the aera age, and b trangulaton, the 3D poston of ths pont s obtaned as follows[10]. Frstl, the aera age ( u, v ) of ths pont s obtaned as (1) and (2). Usng the Y-laser and b the sae proedure, we fnd the poston of P b ud tanθ X =, f + u tanθ vd tanθ Y =, f + u tanθ fd tanθ Z =. (5) Proedure to alulate the 3D poston of a hole s as follows. Step 1: Fro the laser lne age, alulate the plane equaton of the surfae whh nludes the hole Step 2: Fro the aera age and result of Step 1, alulate the 3D postons of the boundar ponts of the hole Step 3: Wth the result of Step 2, alulate the enter poston of the hole Ths proedure an be desrbed ore n detal. Step 1: Laser lnes of X-laser and Y-laser are aptured b the aera, as shown n Fg. 2. The 3D postons of the ponts on the laser lnes an be found b (4) and (5). The plane equaton whh ontans suh ponts an be obtaned b the least squares fttng b AX ˆ + BY ˆ + CZ ˆ = 1, (6) u f X Z = (1) f Y v = (2) Z Now, the plane equaton of S x s gve as x x x sn θ ( Y d ) + osθ Z = 0. (3) Fro (1)-(3), the 3D poston of P s obtaned as Fg. 2. Laser lne age.

3 742 Moon-Hong Baeg, Seung-Ho Baeg, Chanwoo Moon, Gu-Mn Jeong, Hun-Sk Ahn, and Do-Hun K where 1 T = = 1 = 1 ˆ θ ϕϕ ϕ, Aˆ X ˆ θ ˆ = B, ϕ Y =. Cˆ Z (7) Step 2: Fro the aera age of the objet wth LED lghtng as shown n Fg. 3, and after proessng t, we get the boundar ponts of the hole ( u, v ). Sne ths pont les on the plane of (6), we obtan (8) and (9). ˆ Z ˆ Z A u ˆ + B v + CZ = 1 f f f Z = Au ˆ ˆ ˆ + Bv + Cf Z X = u f Z Y = v f (8) (9) Step 3: B projetng the boundar ponts of Step 2 onto the X-Y plane, we obtan an ellpse as gven b 2 ˆ 2 ax ˆ + bxy + Y ˆ + dx ˆ + ey ˆ + 1= 0. (10) B least squares fttng, eah paraeter an be alulated b 1 T e = = 1 = 1 2 aˆ X ˆ θ ϕϕ ϕ, ˆ b XY θ = = dˆ X eˆ Y ˆ ˆ, 2 e ϕ Y. (11) Beause ths ellpse s a projeton of a rle whh s rotated and translated, to alulate the enter of ths ellpse, the ellpse needs to be rotated b X = X osθ Y sn θ, Y = X snθ + Y os θ. (12) B (11), (12) and b settng the oeffent of the produt ter of XY to 0, relaton (13) s obtaned. ˆ tan 2 θ = b aˆ ˆ (13) After obtanng θ, and fro (11) and (12), the oordnate transfored rle s obtaned b (14) and (15). 2 2 ax + Y + dx + ey + 1= 0 (14) 2 2 ( d ) 2 ( e ) 2 d e a X + + Y + = + 1 (15) 2a 2 4a 4 Fro (8) and (15), ts enter s obtaned as n d e Aˆ d Bˆ e 1 (,, + ). 2a 2 Cˆ 2a Cˆ 2 Cˆ 3. DEVELOPMENT OF THE PROPOSED SENSOR SYSTEM (16) A sensor sste ust have suffent easureent aura, and t need to be suffentl lght n weght to be ounted on a oeral ndustral robot. And to nspet the underbod of ar frae, t needs to be sall. Fg. 4 shows the developed sensor sste. Two tpes of sensors are desgned aordng to workng dstane whh s the dstane between the aera and objet. The desgned workng dstanes are 100 and 150. Table 1 provdes the oponents lst of ths sensor sste. Fg. 3. Caera Iage of hole wth LED lghtng. Fg. 4. The developed sensor wth 100 workng dstane.

4 A New Robot 3D Inspeton Sste of Autootve Srew Hole 743 Table 1. The oponent lst of the developed sensor. Part Model Spefaton 1,300 (H) x 1,030 (V) pxels Area San BASLER 2/3 nh HAD nterlne CCD A101 transfer progressve san Caera CCD Workng dstane 100 Lens Laser Lne Generator Xenoplan F1.9/35 Lens Apo- Coponon F2.4/40 Lens 13LR Effetve Foal Length 34.9 Maxu dstorton 0.25% Workng dstane 150 Effetve Foal Length 41.5 Maxu dstorton 0.5% Workng dstane 100 Wave length 661n Fan angle 25 Lne length 74.7 Fous Range 100~205 Workng dstane 150 Wave length 661n Fan angle 12 Lne length55.9 Fous Range 205~415 Fg. 5. Construton of proposed nspeton sste. Lghtnng LED LDR-90B LED LED Color RED Power Consupton 9.5W Fg. 6. Experental Setup. 4. EXPERIMENT Fg. 5. shows a general vew of the proposed nspeton sste. A developed sensor s ounted on a robot s hand, and the entre nspeton proess s ontrolled b a proess ontrol PLC (Prograable Log Controller). The easureent data are gathered b PC. Fg. 6 shows an experental setup for the evaluaton of the nspeton perforane. The perforane s evaluated wth a gauge blok whh has test holes, as shown n Fg. 7. The gauge blok s ade of Al, tested prevousl wth a oeral 3D oordnate easureent ahne, and t has ahnng error of less than ±5μ. Fg. 8 shows a aptured nspeton age. To evaluate the repeatablt easureent aura of the sensor onl, the robot ar s fxed over a target hole of the gauge blok, and the sensor easures the poston of the target hole repettvel. In the frst experent, the target hole s perpendular to the sensor, and obtaned repeatablt easureent aura s nearl 0. In the seond experent, the target hole s not perpendular wth arbtrar angles, and repeatablt easureent aura s about 23 PH008 PH007 PH001 PH002 PH006 PH003 Fg. 7. CAD drawng of gauge blok for the perforane evaluaton. μ, whh s less than the error of 1 pxel, 40 μ. Table 2 suarzes the experental results. The easureent aura of the whole nspeton sste s evaluated n a slar wa. Frstl, the robot hand oves over the target hole, the sensor easures the poston of the hole, and then the aqured data are transfored to the base oordnate sste fro the sensor oordnate sste. Table 3 shows the results of the repettve experent, and shows that the

5 744 Moon-Hong Baeg, Seung-Ho Baeg, Chanwoo Moon, Gu-Mn Jeong, Hun-Sk Ahn, and Do-Hun K Fg. 8. Captured nspeton age. Table 2. Repeatablt easureent aura of the proposed sensor. Experent 1 () Experent 2 () Itera -ton SSR PX (Perpendular) SSR SSR PY PZ SSR D1 axu devaton s less than 40 μ. Table 4 suarzes the perforane of ths sensor sste. 5. CONCLUSION (Out of perpendular) SSR SSR SSR PY PZ D1 SSR PX Max Mn Range σ To prove the produtvt and qualt of autootve parts, a hgh preson nspeton sste s essental. In ths paper, a new sensor sste was developed, and an on-lne hgh speed and hgh aura 3D nspeton sste equpped wth ths sensor sste was presented. Ths nspeton sste an nspet the 3D postons of punhng holes and srew holes, whh are sattered all over the ar bod Table 3. Repeatablt easureent aura of the proposed nspeton sste. Iteraton PX () PY () PZ () Maxu Mnu Range σ Table 4. Spefaton of the proposed nspeton sste. Features Unt Spefaton Inspeton sste easureent aura μ ± 215 Measureent aura of sensor Inspeton sste repeatablt easureent aura μ 23 μ ±40 Workng Dstane 100, 150 Measureent te Seond/Pont 3.5 Weght of sensor kg 5.7 frae. The newl developed sensor, whh onssts of a CCD aera, 2 laser lne generators and LED lghtnng, was ounted on an ndustral robot, and nspeton ponts were prograed prevousl b teahng. The nspeton sste adoptng ths sensor sste s ontrolled b a proess ontrol PLC, and the easureent data are gathered and analzed b PC. Experents to easure the aura of ths sensor sste were onduted wth a presel anufatured gauge blok. The aura of the developed sensor was 23 μ, and n the experent usng the sensor nstalled on a robot, the aura of the nspeton sste was 215 μ. Ths deteroraton s due to the naura of the robot. Measureent aura of ±0.2 ~ 0.25 ust be guaranteed n the autooble ndustr, and these results show that our sensor sste s aeptable. Now, these sensors are under testng n

6 A New Robot 3D Inspeton Sste of Autootve Srew Hole 745 three autootve fatores, and as a future work, a researh on the albraton of the robot wll be studed to prove the easureent aura of the sensor sste. REFERENCES [1] P. Marno, M. Donguez, and M. Alonso, Inspeton of steel sheets based on CCD age sensors, Pro. of IEEE/SICE/RSJ Internatonal Conferene on Multsensor Fuson and Integraton for Intellgent Sstes, pp , August [2] M. Kondo, S. Tahk, M. Ishda, and K. Hguh, Autoat easurng sste for bod ft on the autooble assebl lne, Pro. of IEEE Internatonal Conferene on Robots and Autoaton, pp , [3] Q. Sh, N. X, H. Chen, and Y. Chen Calbraton of robot area sensng sste for densonal easureent of autootve part surfaes, Pro. of IEEE/RSJ Internatonal Conferene on Intellgent Robots and Sstes, pp , August [4] F. Shafat, M. S. Pervez, A. A. Qaz, J. Wollnak, and T. Trttn Real te two-step nspeton sste for assebled valve kes n autooble lnder heads, Pro. of thrd Internatonal Conferene on Iage and Graphs, pp , Deeber [5] Sanworks Datasheet, Pereptron, [6] B. Lara, K. Althoefer, and L. D. Senevratne Autoated robot-based srew nserton sste, Pro. of the 24th Annual Conferene of the IEEE, Industral Eletrons Soet, Volue 4, pp , Aug Sept [7] W. J. Pastorus, MACHINE vson for ndustral nspeton etrolog and gudane, Pro. of Prograable Control and Autoaton Tehnolog Conferene and Exhbton, pp. 13A2-1/1-5, Ot [8] R. Jan, R. Kastur, and B. G. Shunk, Mahne Vson, 1st edton, MGraw-Hll Sene/Engneerng/ Math, Marh 1, [9] F. Chen, G. M. Brown, and M. Song, Overvew of three-densonal shape easureent usng optal ethods, Optal Engneerng, vol. 39, no. 1, pp , [10] R. A. Jarvs, A perspetve on range-fndng tehnques for oputer vson, IEEE Trans. on Pattern Analss Mahne Intellgene, vol. 5, no. 2, pp , Moon-Hong Baeg reeved the B.S. and M.S degrees n Control Engneerng fro Seoul Natonal Unverst, and the Ph.D degree fro Unverst of Toko n 1982, 1984 and 1995, respetvel. Hs researh nter-ests nlude robots vson nspeton, 3-D sene analss and robot navga-tons. Seung-Ho Baeg reeved the B.S. and M.S degrees n Metallurgal Engneerng fro Korea Unverst n 1991 and 1993, respetvel. Hs researh nterests nlude ahne vson nspeton, 3D age aqus-ton and oble robot navgatons. Chanwoo Moon reeved the Ph.D. degree n Eletral Engneerng and Coputer Sene fro Seoul Natonal Unverst n Hs researh nterests nlude oble robot navgaton/loalzaton, ro anpulaton and otor ontrol. Gu-Mn Jeong reeved the Ph.D. degree n Eletral Engneerng and Coputer Sene fro Seoul Natonal Unverst n Hs researh nterests nlude ebedded sste, PDA applaton and vehle eletrons. Hun-Sk Ahn reeved the Ph.D. degree n Control and Instruentaton fro Seoul Natonal Unverst n Hs researh nterests nlude ebedded sste, vehle eletrons and ontrol. Do-Hun K reeved the Ph.D. degree n Eletrons Engneerng fro Seoul Natonal Unverst. He was a Presdent of IEEK n Hs nterests nlude ontrol and nstruentaton.

The Simulation of Electromagnetic Suspension System Based on the Finite Element Analysis

The Simulation of Electromagnetic Suspension System Based on the Finite Element Analysis 308 JOURNAL OF COMPUTERS, VOL. 8, NO., FEBRUARY 03 The Smulaton of Suspenson System Based on the Fnte Element Analyss Zhengfeng Mng Shool of Eletron & Mahanal Engneerng, Xdan Unversty, X an, Chna Emal:

More information

A high-resolution and high-speed 3D imaging system and its application on ATR

A high-resolution and high-speed 3D imaging system and its application on ATR A hgh-resoluton and hgh-speed 3D magng sstem and ts applaton on AR A hgh-resoluton and hgh-speed 3D magng sstem and ts applaton on AR homas. Lu and en-hsn Chao Jet Propulson Laborator/Calforna Insttute

More information

REGISTRATION OF TERRESTRIAL LASER SCANNER DATA USING IMAGERY INTRODUCTION

REGISTRATION OF TERRESTRIAL LASER SCANNER DATA USING IMAGERY INTRODUCTION EGISTATION OF TEESTIAL LASE SCANNE DATA USING IMAGEY Khall Al-Manasr, Ph.D student Clve S. Fraser, Professor Department of Geomats Unversty of Melbourne Vtora 3010 Australa k.al-manasr@pgrad.unmelb.edu.au.fraser@unmelb.edu.au

More information

Use of Colour and Shape Constraints in Vision-based Valve Operation by Robot

Use of Colour and Shape Constraints in Vision-based Valve Operation by Robot Use of Colour and Shae Constrants n Vson-based Valve Oeraton b Robot De Xu ; Mn Tan ; Zemn Jang & Huosheng Hu Ke Laborator of Comle Sstems and Intellgene Sene, Insttute of Automaton, Chnese Aadem of Senes,

More information

Improved Accurate Extrinsic Calibration Algorithm of Camera and Two-dimensional Laser Scanner

Improved Accurate Extrinsic Calibration Algorithm of Camera and Two-dimensional Laser Scanner JOURNAL OF MULTIMEDIA, VOL. 8, NO. 6, DECEMBER 013 777 Improved Aurate Extrns Calbraton Algorthm of Camera and Two-dmensonal Laser Sanner Janle Kong, Le Yan*, Jnhao Lu, Qngqng Huang, and Xaokang Dng College

More information

Clustering incomplete data using kernel-based fuzzy c-means algorithm

Clustering incomplete data using kernel-based fuzzy c-means algorithm Clusterng noplete data usng ernel-based fuzzy -eans algorth Dao-Qang Zhang *, Song-Can Chen Departent of Coputer Sene and Engneerng, Nanjng Unversty of Aeronauts and Astronauts, Nanjng, 210016, People

More information

Quick error verification of portable coordinate measuring arm

Quick error verification of portable coordinate measuring arm Quck error verfcaton of portable coordnate measurng arm J.F. Ouang, W.L. Lu, X.H. Qu State Ke Laborator of Precson Measurng Technolog and Instruments, Tanjn Unverst, Tanjn 7, Chna Tel.: + 86 [] 7-8-99

More information

3D Scene Reconstruction System from Multiple Synchronized Video Images

3D Scene Reconstruction System from Multiple Synchronized Video Images 3D Sene Reonstruton Sstem from Multple Snhronzed Vdeo Images aewoo Han 1, Juho Lee 2, Hung S. Yang 3 AIM Lab., EE/CS Dept., KAIS 1,2,3 373-1, Guseong-dong, Yuseong-gu, Daejon, Republ of Korea { bluebrd

More information

ON THE USE OF THE SIFT TRANSFORM TO SELF-LOCATE AND POSITION EYE-IN-HAND MANIPULATORS USING VISUAL CONTROL

ON THE USE OF THE SIFT TRANSFORM TO SELF-LOCATE AND POSITION EYE-IN-HAND MANIPULATORS USING VISUAL CONTROL XVIII Congresso Braslero de Automáta / a 6-setembro-00, Bonto-MS ON THE USE OF THE SIFT TRANSFORM TO SELF-LOCATE AND POSITION EYE-IN-HAND MANIPULATORS USING VISUAL CONTROL ILANA NIGRI, RAUL Q. FEITOSA

More information

Measurement and Calibration of High Accuracy Spherical Joints

Measurement and Calibration of High Accuracy Spherical Joints 1. Introduton easurement and Calbraton of Hgh Auray Spheral Jonts Ale Robertson, Adam Rzepnewsk, Alexander Sloum assahusetts Insttute of Tehnolog Cambrdge, A Hgh auray robot manpulators are requred for

More information

A high precision collaborative vision measurement of gear chamfering profile

A high precision collaborative vision measurement of gear chamfering profile Internatonal Conference on Advances n Mechancal Engneerng and Industral Informatcs (AMEII 05) A hgh precson collaboratve vson measurement of gear chamferng profle Conglng Zhou, a, Zengpu Xu, b, Chunmng

More information

Outline. Third Programming Project Two-Dimensional Arrays. Files You Can Download. Exercise 8 Linear Regression. General Regression

Outline. Third Programming Project Two-Dimensional Arrays. Files You Can Download. Exercise 8 Linear Regression. General Regression Project 3 Two-densonal arras Ma 9, 6 Thrd Prograng Project Two-Densonal Arras Larr Caretto Coputer Scence 6 Coputng n Engneerng and Scence Ma 9, 6 Outlne Quz three on Thursda for full lab perod See saple

More information

,.,,

,.,, ISSN 49-99 6. 9... /.......... 989.... 85-9.... - /.... //.. 5.. 8.. 5-55. 4... /.... //... 978.... 65-7. 5... :.... - :.: 5..6. /. 99. 46. Vtor su leturer Vtor alh Prof. PhD teh. s. lexandr Ddy ssos.

More information

FUZZY SEGMENTATION IN IMAGE PROCESSING

FUZZY SEGMENTATION IN IMAGE PROCESSING FUZZY SEGMENTATION IN IMAGE PROESSING uevas J. Er,, Zaldívar N. Danel,, Roas Raúl Free Unverstät Berln, Insttut für Inforat Tausstr. 9, D-495 Berln, Gerany. Tel. 0049-030-8385485, Fax. 0049-030-8387509

More information

Generating Fuzzy Term Sets for Software Project Attributes using and Real Coded Genetic Algorithms

Generating Fuzzy Term Sets for Software Project Attributes using and Real Coded Genetic Algorithms Generatng Fuzzy Ter Sets for Software Proect Attrbutes usng Fuzzy C-Means C and Real Coded Genetc Algorths Al Idr, Ph.D., ENSIAS, Rabat Alan Abran, Ph.D., ETS, Montreal Azeddne Zah, FST, Fes Internatonal

More information

Post-Processing of Air Entrainment on NASIR Flow Solver Results for Skimming Flow over Stepped Chutes

Post-Processing of Air Entrainment on NASIR Flow Solver Results for Skimming Flow over Stepped Chutes Proeedngs of the 9th WSEAS Internatonal Conferene on Automat Control, Modelng & Smulaton, Istanbul, Turke, Ma 7-9, 7 Post-Proessng of Ar Entranment on NASIR Flow Solver Results for Skmmng Flow over Stepped

More information

Pattern Classification of Back-Propagation Algorithm Using Exclusive Connecting Network

Pattern Classification of Back-Propagation Algorithm Using Exclusive Connecting Network World Acade of Scence, Engneerng and Technolog 36 7 Pattern Classfcaton of Bac-Propagaton Algorth Usng Eclusve Connectng Networ Insung Jung, and G-Na Wang Abstract The obectve of ths paper s to a desgn

More information

Remote Sensing Image Segmentation Algorithm Based on Multi-agent and Fuzzy Clustering

Remote Sensing Image Segmentation Algorithm Based on Multi-agent and Fuzzy Clustering 017 nd International Conferene on Environental Siene and Energy Engineering (ICESEE 017) ISB: 978-1-60595-417- Reote Sensing Iage Segentation Algorith Based on Multi-agent and Fuzzy Clustering Lei LIU,

More information

QoS-Factor Transmission Control Mechanism for Voice over IP Network based on RTCP-XR Scheme

QoS-Factor Transmission Control Mechanism for Voice over IP Network based on RTCP-XR Scheme QoS-Fator Transsson Control Mehans for Voe over IP Network based on RTCP-XR Shee Jnsul K, Seung Ho Han, Hyun-Woo Lee, Won Ryu, and Mnsoo Hahn Abstrat Wth the nreasng deand for Internet telehony serves

More information

Research on Neural Network Model Based on Subtraction Clustering and Its Applications

Research on Neural Network Model Based on Subtraction Clustering and Its Applications Avalable onlne at www.senedret.om Physs Proeda 5 (01 ) 164 1647 01 Internatonal Conferene on Sold State Deves and Materals Sene Researh on Neural Networ Model Based on Subtraton Clusterng and Its Applatons

More information

Connectivity in Fuzzy Soft graph and its Complement

Connectivity in Fuzzy Soft graph and its Complement IOSR Journal of Mathemats (IOSR-JM) e-issn: 2278-5728, p-issn: 2319-765X. Volume 1 Issue 5 Ver. IV (Sep. - Ot.2016), PP 95-99 www.osrjournals.org Connetvty n Fuzzy Soft graph and ts Complement Shashkala

More information

Alternating Minimization Multigrid Algorithms for Transmission Tomography

Alternating Minimization Multigrid Algorithms for Transmission Tomography Januar 20 2004 SPI Coputatonal Iagng II 1 Alternatng Mnzaton Multgrd Algorths for Transsson Toograph Joseph A. O Sullvan and Jasenka Benac lectronc Sstes and Sgnals Research Laborator Departent of lectrcal

More information

Structure from Motion

Structure from Motion Structure from Moton Structure from Moton For now, statc scene and movng camera Equvalentl, rgdl movng scene and statc camera Lmtng case of stereo wth man cameras Lmtng case of multvew camera calbraton

More information

REFRACTION. a. To study the refraction of light from plane surfaces. b. To determine the index of refraction for Acrylic and Water.

REFRACTION. a. To study the refraction of light from plane surfaces. b. To determine the index of refraction for Acrylic and Water. Purpose Theory REFRACTION a. To study the refracton of lght from plane surfaces. b. To determne the ndex of refracton for Acrylc and Water. When a ray of lght passes from one medum nto another one of dfferent

More information

The motion simulation of three-dof parallel manipulator based on VBAI and MATLAB Zhuo Zhen, Chaoying Liu* and Xueling Song

The motion simulation of three-dof parallel manipulator based on VBAI and MATLAB Zhuo Zhen, Chaoying Liu* and Xueling Song Internatonal Conference on Automaton, Mechancal Control and Computatonal Engneerng (AMCCE 25) he moton smulaton of three-dof parallel manpulator based on VBAI and MALAB Zhuo Zhen, Chaoyng Lu* and Xuelng

More information

FULLY AUTOMATIC IMAGE-BASED REGISTRATION OF UNORGANIZED TLS DATA

FULLY AUTOMATIC IMAGE-BASED REGISTRATION OF UNORGANIZED TLS DATA FULLY AUTOMATIC IMAGE-BASED REGISTRATION OF UNORGANIZED TLS DATA Martn Wenmann, Bors Jutz Insttute of Photogrammetry and Remote Sensng, Karlsruhe Insttute of Tehnology (KIT) Kaserstr. 12, 76128 Karlsruhe,

More information

AUTOMATICALLY MULTIPLE FEATURES DETECTION OF FACE SKETCH BASED ON MAXIMUM LINE GRADIENT

AUTOMATICALLY MULTIPLE FEATURES DETECTION OF FACE SKETCH BASED ON MAXIMUM LINE GRADIENT AUTOMATICALLY MULTIPLE FEATURES DETECTION OF FACE SKETCH BASED ON MAXIMUM LINE GRADIENT Arf Muntasa, Mohamad Harad, Maurdh Her Purnomo 3,,3 Eletral Engneerng Department, Insttut Teknolog Sepuluh Nopember,

More information

Kinematics Modeling and Analysis of MOTOMAN-HP20 Robot

Kinematics Modeling and Analysis of MOTOMAN-HP20 Robot nd Workshop on Advanced Research and Technolog n Industr Applcatons (WARTIA ) Knematcs Modelng and Analss of MOTOMAN-HP Robot Jou Fe, Chen Huang School of Mechancal Engneerng, Dalan Jaotong Unverst, Dalan,

More information

A Toolbox for Easily Calibrating Omnidirectional Cameras

A Toolbox for Easily Calibrating Omnidirectional Cameras A oolbox for Easly Calbratng Omndretonal Cameras Davde Saramuzza, Agostno Martnell, Roland Segwart Autonomous Systems ab Swss Federal Insttute of ehnology Zurh EH) CH-89, Zurh, Swtzerland {davdesaramuzza,

More information

Nighttime Motion Vehicle Detection Based on MILBoost

Nighttime Motion Vehicle Detection Based on MILBoost Sensors & Transducers 204 by IFSA Publshng, S L http://wwwsensorsportalco Nghtte Moton Vehcle Detecton Based on MILBoost Zhu Shao-Png,, 2 Fan Xao-Png Departent of Inforaton Manageent, Hunan Unversty of

More information

A Novel Camera Calibration Algorithm as Part of an HCI System: Experimental Procedure and Results

A Novel Camera Calibration Algorithm as Part of an HCI System: Experimental Procedure and Results A Novel Camera Calbraton Algorthm as Part of an HCI stem: Eermental Proedure Results K. auer, E. Yfants, M. Teruel, R. El-Khater Comuter Grahs Image Proessng Laborator hool of Comuter ene, Unverst of Nevada,

More information

An Accurate Evaluation of Integrals in Convex and Non convex Polygonal Domain by Twelve Node Quadrilateral Finite Element Method

An Accurate Evaluation of Integrals in Convex and Non convex Polygonal Domain by Twelve Node Quadrilateral Finite Element Method Internatonal Journal of Computatonal and Appled Mathematcs. ISSN 89-4966 Volume, Number (07), pp. 33-4 Research Inda Publcatons http://www.rpublcaton.com An Accurate Evaluaton of Integrals n Convex and

More information

CS 534: Computer Vision Model Fitting

CS 534: Computer Vision Model Fitting CS 534: Computer Vson Model Fttng Sprng 004 Ahmed Elgammal Dept of Computer Scence CS 534 Model Fttng - 1 Outlnes Model fttng s mportant Least-squares fttng Maxmum lkelhood estmaton MAP estmaton Robust

More information

Session 4.2. Switching planning. Switching/Routing planning

Session 4.2. Switching planning. Switching/Routing planning ITU Semnar Warsaw Poland 6-0 Otober 2003 Sesson 4.2 Swthng/Routng plannng Network Plannng Strategy for evolvng Network Arhtetures Sesson 4.2- Swthng plannng Loaton problem : Optmal plaement of exhanges

More information

Real Time Displacement Measurement of an image in a 2D Plane

Real Time Displacement Measurement of an image in a 2D Plane International Journal of Scientific Research Engineering & Technology (IJSRET), ISSN 2278 0882 Volue 5, Issue 3, March 2016 176 Real Tie Displaceent Measureent of an iage in a 2D Plane Abstract Prashant

More information

(Geometric) Camera Calibration

(Geometric) Camera Calibration (Geoetric) Caera Calibration CS635 Spring 217 Daniel G. Aliaga Departent of Coputer Science Purdue University Caera Calibration Caeras and CCDs Aberrations Perspective Projection Calibration Caeras First

More information

y and the total sum of

y and the total sum of Lnear regresson Testng for non-lnearty In analytcal chemstry, lnear regresson s commonly used n the constructon of calbraton functons requred for analytcal technques such as gas chromatography, atomc absorpton

More information

Smooth Trajectory Planning Along Bezier Curve for Mobile Robots with Velocity Constraints

Smooth Trajectory Planning Along Bezier Curve for Mobile Robots with Velocity Constraints Smooth Trajetory Planning Along Bezier Curve for Mobile Robots with Veloity Constraints Gil Jin Yang and Byoung Wook Choi Department of Eletrial and Information Engineering Seoul National University of

More information

Optimal shape and location of piezoelectric materials for topology optimization of flextensional actuators

Optimal shape and location of piezoelectric materials for topology optimization of flextensional actuators Optmal shape and loaton of pezoeletr materals for topology optmzaton of flextensonal atuators ng L 1 Xueme Xn 2 Noboru Kkuh 1 Kazuhro Satou 1 1 Department of Mehanal Engneerng, Unversty of Mhgan, Ann Arbor,

More information

Research on action recognition method under mobile phone visual sensor Wang Wenbin 1, Chen Ketang 2, Chen Liangliang 3

Research on action recognition method under mobile phone visual sensor Wang Wenbin 1, Chen Ketang 2, Chen Liangliang 3 Internatonal Conference on Autoaton, Mechancal Control and Coputatonal Engneerng (AMCCE 05) Research on acton recognton ethod under oble phone vsual sensor Wang Wenbn, Chen Ketang, Chen Langlang 3 Qongzhou

More information

Color Texture Classification using Modified Local Binary Patterns based on Intensity and Color Information

Color Texture Classification using Modified Local Binary Patterns based on Intensity and Color Information Color Texture Classfaton usng Modfed Loal Bnary Patterns based on Intensty and Color Informaton Shvashankar S. Department of Computer Sene Karnatak Unversty, Dharwad-580003 Karnataka,Inda shvashankars@kud.a.n

More information

Range images. Range image registration. Examples of sampling patterns. Range images and range surfaces

Range images. Range image registration. Examples of sampling patterns. Range images and range surfaces Range mages For many structured lght scanners, the range data forms a hghly regular pattern known as a range mage. he samplng pattern s determned by the specfc scanner. Range mage regstraton 1 Examples

More information

Performance Improvement of the DSRC System Using a Novel S and Π-Decision Demapper

Performance Improvement of the DSRC System Using a Novel S and Π-Decision Demapper Wreless Sensor Network, 29,, 268-275 do:.4236/wsn.29.433 Publshed Onlne Noveber 29 (http://www.srp.org/journal/wsn). Perforane Iproveent of the DSRC Syste Usng a Novel S and Π-Deson Deapper Abstrat Jeh

More information

AUTOMATIC IMAGE SEQUENCE REGISTRATION BASED ON A LINEAR SOLUTION AND SCALE INVARIANT KEYPOINT MATCHING

AUTOMATIC IMAGE SEQUENCE REGISTRATION BASED ON A LINEAR SOLUTION AND SCALE INVARIANT KEYPOINT MATCHING AUOMAIC IMAGE SEQUENCE REGISRAION BASED ON A LINEAR SOLUION AND SCALE INVARIAN KEPOIN MACHING Z. Shraga, S. Barnea, S. Fln, G. Zalanson,. Doytsher Departent of ransportaton and Geo-Inforaton, echnon Israel

More information

An Image Fusion Approach Based on Segmentation Region

An Image Fusion Approach Based on Segmentation Region Rong Wang, L-Qun Gao, Shu Yang, Yu-Hua Cha, and Yan-Chun Lu An Image Fuson Approach Based On Segmentaton Regon An Image Fuson Approach Based on Segmentaton Regon Rong Wang, L-Qun Gao, Shu Yang 3, Yu-Hua

More information

Some Tutorial about the Project. Computer Graphics

Some Tutorial about the Project. Computer Graphics Some Tutoral about the Project Lecture 6 Rastersaton, Antalasng, Texture Mappng, I have already covered all the topcs needed to fnsh the 1 st practcal Today, I wll brefly explan how to start workng on

More information

Solutions to Programming Assignment Five Interpolation and Numerical Differentiation

Solutions to Programming Assignment Five Interpolation and Numerical Differentiation College of Engneerng and Coputer Scence Mechancal Engneerng Departent Mechancal Engneerng 309 Nuercal Analyss of Engneerng Systes Sprng 04 Nuber: 537 Instructor: Larry Caretto Solutons to Prograng Assgnent

More information

A Model-Based Approach for Automated Feature Extraction in Fundus Images

A Model-Based Approach for Automated Feature Extraction in Fundus Images A Model-Based Approah for Automated Feature Extraton n Fundus Images Huq L Shool of Computng Natonal Unversty of Sngapore dslhq@nus.edu.sg Opas Chutatape Shool of Eletral and Eletron Engneerng Nanyang

More information

Improvement of Spatial Resolution Using BlockMatching Based Motion Estimation and Frame. Integration

Improvement of Spatial Resolution Using BlockMatching Based Motion Estimation and Frame. Integration Improvement of Spatal Resoluton Usng BlockMatchng Based Moton Estmaton and Frame Integraton Danya Suga and Takayuk Hamamoto Graduate School of Engneerng, Tokyo Unversty of Scence, 6-3-1, Nuku, Katsuska-ku,

More information

Accounting for the Use of Different Length Scale Factors in x, y and z Directions

Accounting for the Use of Different Length Scale Factors in x, y and z Directions 1 Accountng for the Use of Dfferent Length Scale Factors n x, y and z Drectons Taha Soch (taha.soch@kcl.ac.uk) Imagng Scences & Bomedcal Engneerng, Kng s College London, The Rayne Insttute, St Thomas Hosptal,

More information

Key-Words: - Under sear Hydrothermal vent image; grey; blue chroma; OTSU; FCM

Key-Words: - Under sear Hydrothermal vent image; grey; blue chroma; OTSU; FCM A Fast and Effectve Segentaton Algorth for Undersea Hydrotheral Vent Iage FUYUAN PENG 1 QIAN XIA 1 GUOHUA XU 2 XI YU 1 LIN LUO 1 Electronc Inforaton Engneerng Departent of Huazhong Unversty of Scence and

More information

Aircraft Engine Gas Path Fault Diagnosis Based on Fuzzy Inference

Aircraft Engine Gas Path Fault Diagnosis Based on Fuzzy Inference 202 Internatonal Conference on Industral and Intellgent Inforaton (ICIII 202) IPCSIT vol.3 (202) (202) IACSIT Press, Sngapore Arcraft Engne Gas Path Fault Dagnoss Based on Fuzzy Inference Changzheng L,

More information

Design of Structure Optimization with APDL

Design of Structure Optimization with APDL Desgn of Structure Optmzaton wth APDL Yanyun School of Cvl Engneerng and Archtecture, East Chna Jaotong Unversty Nanchang 330013 Chna Abstract In ths paper, the desgn process of structure optmzaton wth

More information

2D Raster Graphics. Integer grid Sequential (left-right, top-down) scan. Computer Graphics

2D Raster Graphics. Integer grid Sequential (left-right, top-down) scan. Computer Graphics 2D Graphcs 2D Raster Graphcs Integer grd Sequental (left-rght, top-down scan j Lne drawng A ver mportant operaton used frequentl, block dagrams, bar charts, engneerng drawng, archtecture plans, etc. curves

More information

Pneumatic Non-contact Data Acquisition System For straightness Measurement of Cylindrical Parts

Pneumatic Non-contact Data Acquisition System For straightness Measurement of Cylindrical Parts 6 th Internatonal Advanced Technologes Syposu (IATS 11), 16-18 May 2011, Elazığ, Turkey Pneuatc Non-contact Data Acquston Syste For straghtness Measureent of Cylndrcal Parts H. Sağla 1 1 Unversty of Selcuk,

More information

A Method for Ranking Battlefield Damaged Equipment Repairs Based on TOPSIS Dong Yu-cai, Pan Xue -qin, Wang Xiao-yan, Yao Jun-jie, Liu Jun-hong, Jin Qi

A Method for Ranking Battlefield Damaged Equipment Repairs Based on TOPSIS Dong Yu-cai, Pan Xue -qin, Wang Xiao-yan, Yao Jun-jie, Liu Jun-hong, Jin Qi Proceedngs of the nd Internatonal Conference On Sstes Engneerng and Modelng (ICSEM-13 A Method for Rankng Battlefeld Daaged Equpent Repars Based on TOPSIS Dong Yu-ca, Pan Xue -qn, Wang Xao-an, Yao Jun-e,

More information

METRIC ALIGNMENT OF LASER RANGE SCANS AND CALIBRATED IMAGES USING LINEAR STRUCTURES

METRIC ALIGNMENT OF LASER RANGE SCANS AND CALIBRATED IMAGES USING LINEAR STRUCTURES METRIC ALIGNMENT OF LASER RANGE SCANS AND CALIBRATED IMAGES USING LINEAR STRUCTURES Lorenzo Sorg CIRA the Italan Aerospace Research Centre Computer Vson and Vrtual Realty Lab. Outlne Work goal Work motvaton

More information

Cluster ( Vehicle Example. Cluster analysis ( Terminology. Vehicle Clusters. Why cluster?

Cluster (  Vehicle Example. Cluster analysis (  Terminology. Vehicle Clusters. Why cluster? Why luster? referene funton R R Although R and R both somewhat orrelated wth the referene funton, they are unorrelated wth eah other Cluster (www.m-w.om) A number of smlar ndvduals that our together as

More information

THE PHYSICS 23 LAB BOOK 23 Lab 03: Conservation of Linear Momentum

THE PHYSICS 23 LAB BOOK 23 Lab 03: Conservation of Linear Momentum 6/4/03 23lab3.cd THE PHYSICS 23 LAB BOOK 23 Lab 03: Conservaton of Lnear Moentu SS2003 ds Nae: Lab Instructor: Objectve:.To easure the oentu before and after collsons between artrack glders. 2.To calculate

More information

Data Acquisition of Obstacle Shapes for Fish Robots

Data Acquisition of Obstacle Shapes for Fish Robots Proceedings of the 2nd WEA International Conference on Dynaical ystes and Control, Bucharest, oania, October -17, 6 Data Acquisition of Obstacle hapes for Fish obots EUNG Y. NA, DAEJUNG HIN, JIN Y. KIM,

More information

Time Synchronization in WSN: A survey Vikram Singh, Satyendra Sharma, Dr. T. P. Sharma NIT Hamirpur, India

Time Synchronization in WSN: A survey Vikram Singh, Satyendra Sharma, Dr. T. P. Sharma NIT Hamirpur, India Internatonal Journal of Enhaned Researh n Sene Tehnology & Engneerng, ISSN: 2319-7463 Vol. 2 Issue 5, May-2013, pp: (61-67), Avalable onlne at: www.erpublatons.om Tme Synhronzaton n WSN: A survey Vkram

More information

5th International Conference on Advanced Materials and Computer Science (ICAMCS 2016)

5th International Conference on Advanced Materials and Computer Science (ICAMCS 2016) 5th Internatonal Conference on Advanced Materals and Coputer Scence (ICAMCS 6) Aeral Survey and Scannng Pont Cloud Data Acquston & Modelng Technology for Hydropower Engneerng Shangwe LIU,, Yng WANG, Hua

More information

3D vector computer graphics

3D vector computer graphics 3D vector computer graphcs Paolo Varagnolo: freelance engneer Padova Aprl 2016 Prvate Practce ----------------------------------- 1. Introducton Vector 3D model representaton n computer graphcs requres

More information

A Flexible Solution for Modeling and Tracking Generic Dynamic 3D Environments*

A Flexible Solution for Modeling and Tracking Generic Dynamic 3D Environments* A Flexble Soluton for Modelng and Trang Gener Dynam 3D Envronments* Radu Danesu, Member, IEEE, and Sergu Nedevsh, Member, IEEE Abstrat The traff envronment s a dynam and omplex 3D sene, whh needs aurate

More information

Image Fusion With a Dental Panoramic X-ray Image and Face Image Acquired With a KINECT

Image Fusion With a Dental Panoramic X-ray Image and Face Image Acquired With a KINECT Image Fuson Wth a Dental Panoramc X-ray Image and Face Image Acqured Wth a KINECT Kohe Kawa* 1, Koch Ogawa* 1, Aktosh Katumata* 2 * 1 Graduate School of Engneerng, Hose Unversty * 2 School of Dentstry,

More information

An efficient method to build panoramic image mosaics

An efficient method to build panoramic image mosaics An effcent method to buld panoramc mage mosacs Pattern Recognton Letters vol. 4 003 Dae-Hyun Km Yong-In Yoon Jong-Soo Cho School of Electrcal Engneerng and Computer Scence Kyungpook Natonal Unv. Abstract

More information

Merging Results by Using Predicted Retrieval Effectiveness

Merging Results by Using Predicted Retrieval Effectiveness Mergng Results by Usng Predcted Retreval Effectveness Introducton Wen-Cheng Ln and Hsn-Hs Chen Departent of Coputer Scence and Inforaton Engneerng Natonal Tawan Unversty Tape, TAIWAN densln@nlg.cse.ntu.edu.tw;

More information

What is Object Detection? Face Detection using AdaBoost. Detection as Classification. Principle of Boosting (Schapire 90)

What is Object Detection? Face Detection using AdaBoost. Detection as Classification. Principle of Boosting (Schapire 90) CIS 5543 Coputer Vson Object Detecton What s Object Detecton? Locate an object n an nput age Habn Lng Extensons Vola & Jones, 2004 Dalal & Trggs, 2005 one or ultple objects Object segentaton Object detecton

More information

A GENETIC APPROACH FOR THE AUTOMATIC ADAPTATION OF SEGMENTATION PARAMETERS

A GENETIC APPROACH FOR THE AUTOMATIC ADAPTATION OF SEGMENTATION PARAMETERS A GENETIC APPROACH FOR THE AUTOMATIC ADAPTATION OF SEGMENTATION PARAMETERS R. Q. Fetosa a, *, G. A. O. P. Costa a, T. B. Cazes a, B. Fejo b a Dept. of Eletral Engneerng, b Dept of Informats, Cathol Unversty

More information

Handwritten English Character Recognition Using Logistic Regression and Neural Network

Handwritten English Character Recognition Using Logistic Regression and Neural Network Handwrtten Englsh Character Recognton Usng Logstc Regresson and Neural Network Tapan Kuar Hazra 1, Rajdeep Sarkar 2, Ankt Kuar 3 1 Departent of Inforaton Technology, Insttute of Engneerng and Manageent,

More information

DETECTING AND ANALYZING CORROSION SPOTS ON THE HULL OF LARGE MARINE VESSELS USING COLORED 3D LIDAR POINT CLOUDS

DETECTING AND ANALYZING CORROSION SPOTS ON THE HULL OF LARGE MARINE VESSELS USING COLORED 3D LIDAR POINT CLOUDS ISPRS Annals of the Photogrammetry, Remote Sensng and Spatal Informaton Senes, Volume III-3, 2016 XXIII ISPRS Congress, 12 19 July 2016, Prague, Czeh Republ DETECTING AND ANALYZING CORROSION SPOTS ON THE

More information

TEST-05 TOPIC: OPTICS COMPLETE

TEST-05 TOPIC: OPTICS COMPLETE Q. A boy s walkng under an nclned mrror at a constant velocty V m/s along the x-axs as shown n fgure. If the mrror s nclned at an angle wth the horzontal then what s the velocty of the mage? Y V sn + V

More information

Introduction. Leslie Lamports Time, Clocks & the Ordering of Events in a Distributed System. Overview. Introduction Concepts: Time

Introduction. Leslie Lamports Time, Clocks & the Ordering of Events in a Distributed System. Overview. Introduction Concepts: Time Lesle Laports e, locks & the Orderng of Events n a Dstrbuted Syste Joseph Sprng Departent of oputer Scence Dstrbuted Systes and Securty Overvew Introducton he artal Orderng Logcal locks Orderng the Events

More information

Human Face Recognition Using Radial Basis Function Neural Network

Human Face Recognition Using Radial Basis Function Neural Network Huan Face Recognton Usng Radal Bass Functon eural etwor Javad Haddadna Ph.D Student Departent of Electrcal and Engneerng Arabr Unversty of Technology Hafez Avenue, Tehran, Iran, 594 E-al: H743970@cc.au.ac.r

More information

A Robot Assisted Assembly System for Large and Heavy Components in Products Assembly

A Robot Assisted Assembly System for Large and Heavy Components in Products Assembly Global Perspectves on Artfcal Intellgence (GPAI) Volume 3, 205 do: 0.4355/gpa.205.03.002 www.sepub.org/gpa A Robot Asssted Assembl Sstem for Large and Heav Components n Products Assembl Zhang Ljan *, L

More information

On-line Scheduling Algorithm with Precedence Constraint in Embeded Real-time System

On-line Scheduling Algorithm with Precedence Constraint in Embeded Real-time System 00 rd Internatonal Conference on Coputer and Electrcal Engneerng (ICCEE 00 IPCSIT vol (0 (0 IACSIT Press, Sngapore DOI: 077/IPCSIT0VNo80 On-lne Schedulng Algorth wth Precedence Constrant n Ebeded Real-te

More information

An adaptive multi-objective genetic algorithm with fuzzy c-means for automatic data clustering

An adaptive multi-objective genetic algorithm with fuzzy c-means for automatic data clustering An adaptve ult-objetve genet algorth wth fuzzy -eans for autoat data lusterng Ze Dong, Hao Ja, and Mao Lu Departent of Autoaton, North Chna Eletr Power Unversty, Baodng 0700, Chna, Hebe Engneerng Researh

More information

Poly-energetic Reconstructions in X-ray CT Scanners

Poly-energetic Reconstructions in X-ray CT Scanners Indan Socety for Non-Destructve Testng Hyderabad Chapter Proc. Natonal Senar on Non-Destructve Evaluaton Dec. 7-9, 26, Hyderabad Poly-energetc Reconstructons n X-ray CT Scanners V.S. Venuadhav Vedula,

More information

Simulation: Solving Dynamic Models ABE 5646 Week 11 Chapter 2, Spring 2010

Simulation: Solving Dynamic Models ABE 5646 Week 11 Chapter 2, Spring 2010 Smulaton: Solvng Dynamc Models ABE 5646 Week Chapter 2, Sprng 200 Week Descrpton Readng Materal Mar 5- Mar 9 Evaluatng [Crop] Models Comparng a model wth data - Graphcal, errors - Measures of agreement

More information

Interval uncertain optimization of structures using Chebyshev meta-models

Interval uncertain optimization of structures using Chebyshev meta-models 0 th World Congress on Strutural and Multdsplnary Optmzaton May 9-24, 203, Orlando, Florda, USA Interval unertan optmzaton of strutures usng Chebyshev meta-models Jngla Wu, Zhen Luo, Nong Zhang (Tmes New

More information

TAR based shape features in unconstrained handwritten digit recognition

TAR based shape features in unconstrained handwritten digit recognition TAR based shape features n unonstraned handwrtten dgt reognton P. AHAMED AND YOUSEF AL-OHALI Department of Computer Sene Kng Saud Unversty P.O.B. 578, Ryadh 543 SAUDI ARABIA shamapervez@gmal.om, yousef@s.edu.sa

More information

AVideoStabilizationMethodbasedonInterFrameImageMatchingScore

AVideoStabilizationMethodbasedonInterFrameImageMatchingScore Global Journal of Computer Sene and Tehnology: F Graphs & vson Volume 7 Issue Verson.0 Year 207 Type: Double Blnd Peer Revewed Internatonal Researh Journal Publsher: Global Journals In. (USA) Onlne ISSN:

More information

L11 Balanced Trees. Alice E. Fischer. Fall Alice E. Fischer L11 Balanced Trees... 1/34 Fall / 34

L11 Balanced Trees. Alice E. Fischer. Fall Alice E. Fischer L11 Balanced Trees... 1/34 Fall / 34 L11 Balaned Trees Alie E. Fisher Fall 2018 Alie E. Fisher L11 Balaned Trees... 1/34 Fall 2018 1 / 34 Outline 1 AVL Trees 2 Red-Blak Trees Insertion Insertion 3 B-Trees Alie E. Fisher L11 Balaned Trees...

More information

Gabor-Filtering-Based Completed Local Binary Patterns for Land-Use Scene Classification

Gabor-Filtering-Based Completed Local Binary Patterns for Land-Use Scene Classification Gabor-Flterng-Based Completed Loal Bnary Patterns for Land-Use Sene Classfaton Chen Chen 1, Lbng Zhou 2,*, Janzhong Guo 1,2, We L 3, Hongjun Su 4, Fangda Guo 5 1 Department of Eletral Engneerng, Unversty

More information

Data Clustering Approach to Industrial Process Monitoring, Fault Detection and Isolation

Data Clustering Approach to Industrial Process Monitoring, Fault Detection and Isolation Internatonal Journal of Coputer Applatons (0975 8887) Volue 7 o., Marh 0 Data Clusterng Approah to Industral roess Montorng, Fault Deteton and Isolaton Kran Jyot Departent of CSE and IT GDEC, Ludhana,

More information

GPU Accelerated Elevation Map based Registration of Aerial Images

GPU Accelerated Elevation Map based Registration of Aerial Images GPU Aelerated Elevaton Map based Regstraton of Aeral Images Joseph Frenh, Student Member, IEEE, Wllam Turr, Joseph Fernando, Member, IEEE and Er Balster Senor Member IEEE {joseph.frenh, Wllam.turr, joseph.fernando}@udr.udayton.edu,

More information

Some Advanced SPC Tools 1. Cumulative Sum Control (Cusum) Chart For the data shown in Table 9-1, the x chart can be generated.

Some Advanced SPC Tools 1. Cumulative Sum Control (Cusum) Chart For the data shown in Table 9-1, the x chart can be generated. Some Advanced SP Tools 1. umulatve Sum ontrol (usum) hart For the data shown n Table 9-1, the x chart can be generated. However, the shft taken place at sample #21 s not apparent. 92 For ths set samples,

More information

Development and self-calibration of a robotic visual inspecting system

Development and self-calibration of a robotic visual inspecting system nd International Conference on Machinery, Electronics and Control Siulation (MECS 7) Developent and self-calibration of a robotic visual inspecting syste Chengyi Yu, a, Xiaobo Chen,b and Juntong Xi3,c

More information

A Time Pooled Track Kernel for Person Identification

A Time Pooled Track Kernel for Person Identification A Te Pooled Trak Kernel for Person Identfaton Martn Bäul Makarand Tapasw Raner Stefelhagen Karlsruhe Insttute of Tehnology, 763 Karlsruhe, Gerany {baeul, akarand.tapasw, raner.stefelhagen}@kt.edu Abstrat

More information

Optimization Methods: Integer Programming Integer Linear Programming 1. Module 7 Lecture Notes 1. Integer Linear Programming

Optimization Methods: Integer Programming Integer Linear Programming 1. Module 7 Lecture Notes 1. Integer Linear Programming Optzaton Methods: Integer Prograng Integer Lnear Prograng Module Lecture Notes Integer Lnear Prograng Introducton In all the prevous lectures n lnear prograng dscussed so far, the desgn varables consdered

More information

Structure from motion (SfM) Simultaneous Localization and Mapping (SLAM)

Structure from motion (SfM) Simultaneous Localization and Mapping (SLAM) Structure fro oton (SfM) Sultaneous Localzaton and Mappng (SLAM) Schedule Feb 20 Feb 27 Mar 5 Mar 2 Mar 9 Mar 26 Apr 2 Apr 9 Apr 6 Apr 23 Apr 30 May 7 May 4 May 2 May 28 ue., May 29 Introducton Lecture:

More information

An Optimal Algorithm for Prufer Codes *

An Optimal Algorithm for Prufer Codes * J. Software Engneerng & Applcatons, 2009, 2: 111-115 do:10.4236/jsea.2009.22016 Publshed Onlne July 2009 (www.scrp.org/journal/jsea) An Optmal Algorthm for Prufer Codes * Xaodong Wang 1, 2, Le Wang 3,

More information

A Bayesian Mixture Model for Multi-view Face Alignment

A Bayesian Mixture Model for Multi-view Face Alignment A Bayesan Mxture Model for Mult-vew Face Algnent Y Zhou, We Zhang, Xaoou Tang, and Harry Shu Mcrosoft Research Asa Bejng, P. R. Chna {t-yzhou, xtang, hshu}@crosoft.co DCST, Tsnghua Unversty Bejng, P. R.

More information

Computer Aided Drafting, Design and Manufacturing Volume 26, Number 2, June 2016, Page 13

Computer Aided Drafting, Design and Manufacturing Volume 26, Number 2, June 2016, Page 13 Coputer Aided Drafting, Design and Manufacturing Volue 26, uber 2, June 2016, Page 13 CADDM 3D reconstruction of coplex curved objects fro line drawings Sun Yanling, Dong Lijun Institute of Mechanical

More information

3D Reconstruction for Rendering

3D Reconstruction for Rendering 3D Reconstruction for Rendering Topic in Iage-Based Modeling and Rendering CSE9 J00 Lecture 6 This lecture [DTM96] Paul E. Debevec, Caillo J. Talor, Jitendra Malik, Modeling and Rendering Architecture

More information

Ming-Wei Lee 1, Wei-Tso Lin 1, Yu-Ching Ni 2, Meei-Ling Jan 2, Yi-Chun Chen 1 * National Central University

Ming-Wei Lee 1, Wei-Tso Lin 1, Yu-Ching Ni 2, Meei-Ling Jan 2, Yi-Chun Chen 1 * National Central University Rapid Constructions of Circular-Orbit Pinhole SPECT Iaging Syste Matrices by Gaussian Interpolation Method Cobined with Geoetric Paraeter Estiations (GIMGPE Ming-Wei Lee, Wei-Tso Lin, Yu-Ching Ni, Meei-Ling

More information

The Codesign Challenge

The Codesign Challenge ECE 4530 Codesgn Challenge Fall 2007 Hardware/Software Codesgn The Codesgn Challenge Objectves In the codesgn challenge, your task s to accelerate a gven software reference mplementaton as fast as possble.

More information

The design of active vision system for. variable view imaging of micro objects

The design of active vision system for. variable view imaging of micro objects Invted Paper The desgn of actve vson syste for varable vew agng of cro objects Xaodong Tao *, Deokhwa Hong, Hyungsuck Cho Departent of Mechancal Engneerng, Korea Advanced Insttute of Scence and Technology,

More information

Steganalysis of DCT-Embedding Based Adaptive Steganography and YASS

Steganalysis of DCT-Embedding Based Adaptive Steganography and YASS Steganalyss of DCT-Embeddng Based Adaptve Steganography and YASS Qngzhong Lu Department of Computer Sene Sam Houston State Unversty Huntsvlle, TX 77341, U.S.A. lu@shsu.edu ABSTRACT Reently well-desgned

More information

Path Following Control of a Spherical Robot Rolling on an Inclined Plane

Path Following Control of a Spherical Robot Rolling on an Inclined Plane Sensors & ransduers, Vol., Speal Issue, May 3, pp. 4-47 Sensors & ransduers 3 by IFSA http://www.sensorsportal.om Path Followng Control of a Spheral Robot Rollng on an Inlned Plane ao Yu, Hanxu Sun, Qngxuan

More information