In-Plane Shear Behavior of SC Composite Walls: Theory vs. Experiment

Size: px
Start display at page:

Download "In-Plane Shear Behavior of SC Composite Walls: Theory vs. Experiment"

Transcription

1 Tranation, MiRT, 6- November,, New Delhi, India Div-VI: Paper ID# 764 In-Plane hear Behavior of C Compoite Wall: Theory v. Experiment Amit H. Varma, ai Zhang, Hoeok Chi 3, Peter Booth 4, Tod Baker 5 Aoiate Profeor, hool of Civil Engineering, Purdue Univerity, Wet Lafayette, IN, ahvarma@purdue.edu PhD Candidate, hool of Civil Engineering, Purdue Univerity, Wet Lafayette, IN, kai-zh@purdue.edu 3 Reearh ientit, Bowen Lab, Purdue Univerity, Wet Lafayette, hhi@purdue.edu 4 PhD Candidate, hool of Civil Engineering, Purdue Univerity, Wet Lafayette, IN, boothpn@purdue.edu 5 Fellow Engineer, Wetinghoue Eletri Corporation, Cranberry Townhip, PA, bakerth@wetinghoue.om ABTRACT The in-plane hear behavior of teel-plate ompoite (C) wall i different from that of reinfored onrete (RC) wall with orthogonal grid of longitudinal and tranvere rebar. In C wall, the teel plate ontribute not only their longitudinal and tranvere trength, but alo there in-plane hear tiffne and trength to the behavior of the ompoite etion. The in-plane hear loading produe prinipal tenion and ompreion fore in the ompoite C etion. The prinipal tenion aue the onrete to rak, and after raking the onrete andwih behave like an orthotropi plate with negligible tiffne in the prinipal tenion diretion but ignifiant tiffne and ompreive trength in the prinipal ompreion diretion. Thi paper preent a imple mehaniti repreentation of thi omplex in-plane hear behavior of C ompoite wall, and a deign equation for alulating their in-plane hear tiffne and trength. Thee equation are ompared and evaluated uing exiting experimental reult. Additionally, thee equation are further onfirmed by onduting a large-ale in-plane hear tet uing a unique tet etup and approah. The experimental reult inluded the meaured yli hear fore-train repone of the C panel, the hear train, and the prinipal train meaured in the teel plate. The experimental reult are hown to verify the behavior theory. INTRODUCTION There i oniderable interet in the ue of teel plate ompoite (C) wall for afety related nulear failitie that are part of third generation nulear power plant. C ontrution an potentially be more effiient than reinfored onrete from ontrution heduling and trutural effiieny tandpoint. The in-plane hear behavior of thee C wall i the primary lateral load reiting mehanim in thee truture. The in-plane hear behavior of the C ompoite wall i governed by the plane tre behavior of the teel faeplate, and the orthotropi elati behavior of onrete raked in prinipal tenion. The teel headed tud provide ompoite ation by anhoring the teel faeplate to the onrete andwih. The deformed wire tie bar alo provide ompoite ation, but mot importantly they provide trutural integrity to keep the ompoite etion together. The teel-headed tud and the tie bar provide a eondary but important funtion to the in-plane hear behavior of C ompoite wall. BACGROUND Conduting pure in-plane hear tet i extremely hallenging, and there are only a few laboratorie in the world apable of ubjeting wall panel to pure in-plane hear loading to determine their fundamental behavior and yli performane. Ozaki et al. [] have onduted uh pure in-plane hear tet on C wall panel uing peially deigned tet etup and peimen. The tet etup wa apable of ubjeting C wall panel peimen to yli in plane hear loading. The tet peimen were 47.5 x 47.5 in. in plan, and in. in thikne. The peimen had peial grip region at the edge to failitate the appliation of in-plane hear fore. Table ummarize the detail of three of the peimen teted by Ozaki et al. [] by ubjeting them to pure in-plane hear. It i important to note that Ozaki et al. [] teted everal more peimen ubjeted to light axial ompreion ombined with in-plane hear that are not diued further here. A hown in Table, the plate lenderne (/t ) defined by the paing of the hear onnetor and the thikne of the teel plate wa approximately equal to 3. The primary variable between the three peimen wa the teel plate thikne (t ), whih alo repreent the teel reinforement ratio (alulated at t /T). The teel plate reinforement ratio were approximately equal to.3%, 3.%, and 4.5% for peimen --NN, 3--NN, and 4--NN, repetively.

2 In-Plane hear Fore (kn) In-Plane hear Fore (kn) In-Plane hear Fore (kn) Tranation, MiRT, 6- November,, New Delhi, India Div-VI: Paper ID# 764 Table. Detail of Pure In-Plane hear peimen Teted by Ozaki et al. [] peimen Plate thikne tud diameter tud paing F /t y f (t ) in. (d) in. () (ki) (ki) --NN NN NN The peimen were ubjeted to yli hear train γ hitory oniting of yle at.5,.,., 3., 4., 6., and x -3. The envelope of the yli hyterei rule for peimen --NN, 3--NN, and 4--NN are how in Figure. Table how numerial value of the experimental reult for peimen --NN, 3-- NN, and 4--NN ubjeted to pure in-plane hear loading. It inlude the meaured the pre-raking tiffne ( unr ), raking hear fore ( t ), pot-raking hear tiffne ( r ), and the hear trength orreponding to the limit tate of teel plate yielding ( ) for the peimen. Table. Experimental Reult from Ozaki et al. [] and and Comparion with Analytial Value Experimental Reult Experimental Reult Analytial Value peimen unr (kip) t (kip) r (kip) (kip) unr unr t t r r NN NN NN The experimental reult indiated that a the teel plate beome thiker, the pot-raking hear modulu, the yield trength, and the maximum trength beome higher, and the hear train at maximum trength beome maller. Overall, all the peimen howed good behavior and dutility. The ultimate hear train reahed and exeeded at leat 6. x -3 under yli loading NN NN Conrete raking teel yielding Maximum trength In-Plane hear train(mm/mm) In-Plane hear train(mm/mm) 5 4--NN 4 3 Conrete raking teel yielding Maximum trength.5..5 In-Plane hear train(mm/mm) Figure. Experimental reult from Ozaki [] tet, and omparion with analytial model

3 In-Plane hear Fore Tranation, MiRT, 6- November,, New Delhi, India Div-VI: Paper ID# 764 MECHANIC BAED THEOR The in-plane hear behavior of C ompoite wall an be predited uing ompoite plate theory, while auming (i) iotropi elati plane-tre behavior for the teel faeplate, (ii) iotropi elati behavior for the onrete andwih before raking, (iii) orthotropi elati behavior of the onrete andwih after raking with zero tiffne in the prinipal tenile diretion perpendiular to raking, and 7 perent of the elati tiffne for the prinipal ompreive diretion parallel to raking, and (iv) Von Mie yield riterion for the teel faeplate. The fundamental in-plane behavior of C ompoite wall ha been developed by Ozaki et al. [], and alo by Varma and Maluhte []. The in-plane hear trength of C ompoite wall an be etimated a the tri-linear hear fore train urve hown in Figure. t =V n in unr r unr t r V G A f in n E A E A E G A 3 4 (.7E A E A A F y ) Equation Equation G A Equation 3 Equation 4 In-Plane hear train γ Figure. In-Plane hear Behavior Model The firt part of the urve i before onrete raking our. The in-plane hear tiffne ( unr ) an be etimated uing that of the ompoite etion hown in Equation. Conrete raking our when the applied hear fore ( ) exeed the raking threhold ( t ), whih an be alulated uing Equation. The raking threhold ( t ) orrepond to a onrete prinipal tenile tre (in pi) of (f ).5, where f i the ompreive trength in pi. The eond part of the urve i after onrete raking but before teel plate yielding. The in-plane hear tiffne ( r ) an be etimated a that of ompoite etion with orthotropi propertie for the 45 o raked onrete ( ) and plane tre propertie of the teel plate ( ), ee Equation 3. The third part of the urve orrepond to the onet of teel plate Von Mie yielding, whih our when the applied in-plane hear reahe or V n in given by Equation 4. In Equation to 4, G, E, and A are the hear modulu, elati modulu, poion ratio, and area of the teel in the ompoite etion. G, E, and A are the hear modulu, elati modulu, and area of the onrete in the etion. Thi mehani baed behavior model i ummarized briefly in Figure 3, whih how ritial tep in the derivation of the model and Equation -4 above. The model i preented in more detail in Varma and Maluhte [], and not repeated here for brevity. Figure 3 how (a) the in-plane fore and train, (b) the orreponding prinipal fore and train, () reulting onrete raking and orthotropi behavior, (d) ompoite etion fore equilibrium equation after raking, (e) the free body diagram for etion fore equilibrium, and (f) the reulting teel and onrete tree in the x and y diretion. Thee reulting teel tree were ued to etablih the ourrene of Von Mie yielding of the teel plate, whih reulted in Equation 4 for the in-plane hear trength. Figure inlude omparion of the in-plane hear model hown in Figure with the experimental reult from Ozaki et al. []. Numerial omparion of the pre-raking hear tiffne ( unr ), raking threhold ( t ), pot-raking hear tiffne ( r ), and in-plane hear trength ( ) are inluded in Table. The omparion in Figure and Table indiate that the in-plane hear model i a reaonable and onervative repreentation of the inplane hear behavior of C wall with /t ratio le than or equal to 3 and reinforement ratio up to 4.5%. In order to further verify the in-plane hear model, a unique large-ale in-plane hear tet wa onduted at Purdue Univerity, Bowen Laboratory a explained in the following ub-etion. 3

4 Tranation, MiRT, 6- November,, New Delhi, India Div-VI: Paper ID# 764 (a) In-plane fore and train (b) Prinipal fore, train, and diretion () Conrete orthotropi raking and behavior (d) etion fore equilibrium equation x y.7e T 4 x y E.7ET 4 x y Conrete raking (e) etion fore equilibrium free body diagram (f) Reulting teel and onrete tree teel tree x y t t t Conrete tree x y T T T Figure 3 ummary of in-plane hear behavior theory PECIMEN DETAIL A large-ale in-plane hear tet wa onduted to demontrate the yli behavior and dutility of C ompoite wall and to verify the mehani baed model. The thikne of the C ompoite wall peimen i denoted a T. The thikne of teel faeplate wa equal to t, and the nominal yield tre wa equal to 5 ki. The teel plate reinforement ratio (t /T) wa equal to 4.6%. hear onnetor were welded to the teel plate with a paing of.33 time of plate thikne (/t =.33). The nominal ompreion trength of infill onrete wa equal to 6 pi, and it wa made from.75-inh aggregate. The peimen wa a flanged hear wall with one web and two idential flange. The web repreented the C ompoite wall panel ubjeted to in-plane hear, and the flange wall were deigned to reit the orreponding overturning moment. Figure 4 how a piture of the tet etup with peimen in plae. The two onrete blok at the bottom were firt pot-tenioned to the peimen web. Then, the onrete blok were pot-tenioned down to the reation floor through hole in a teel bae plate. The peimen flange were further pre-tenioned to the teel bae plate through hole in the onrete bottom blok to prevent deompreion due to the overturning moment. Thu, the flange were deigned to reit the applied overturning moment, and have minimal (if any) ontribution to the in-plane hear, whih wa reited by the C wall peimen web. All the pot-tenioning wa verified to enure minimum loe. The peimen wa at along with a onrete top blok, where the onrete blok and onnetion were deigned to tranfer the applied hear fore and moment, if there i any, to the peimen. The in-plane hear fore wa applied uing four double-ating hydrauli ram. Eah ram had kip apaity for puh and 63-kip apaity for pull fore and -inh diplaement troke. The ram were attahed with levi and pin detail at both end to prevent retraint, and to large teel beam to pread the fore to the reation wall. Eletroni preure tranduer were ued to meaure the load applied by the hydrauli ram. 4

5 Tranation, MiRT, 6- November,, New Delhi, India Div-VI: Paper ID# 764 Figure 4 Photograph of In-Plane peimen and etup The tet wa terminated when the applied fore approahed kip, whih wa the deign apaity for afe operation of the tet etup. Exeive lippage of the etup on the laboratory floor wa oberved at the peak load. INTRUMENTATON Diplaement tranduer were ued to meaure the horizontal and vertial diplaement of the peimen, etup, the elongation and hortening of the web diagonal, and thu the hear train of the peimen. Clinometer were attahed to meaure the rotation of the top and bottom onrete blok and of the peimen. train gage roette and train gage were glued to meaure longitudinal, tranvere, and hear train at variou loation in the teel plate, and train in the tie bar. Intrumentation of the peimen i hown in Figure 5 (a) - (). A hown, the horizontal diplaement a the bae of the peimen jut above the onrete blok wa meaured uing DT7. The horizontal diplaement jut above the tet region of the peimen wa meaured uing DT8. The horizontal diplaement at the mid-height of the blok wa meaured uing DT9. Thu, DT8-DT7 meaure the horizontal diplaement (drift) of the 43 in. high tet region of the peimen. imilarly DT9-DT7 alo meaure the drift of the peimen. The rotation of the bottom onrete blok are meaured uing DC and DC. The rotation of the top onrete blok wa meaured uing DC3. Figure 5 (b) how the train gage layout for the wet fae of the peimen web. A hown, five point on the wet fae were intrumented with retangular train roette featuring three train gage eah. The grid of train gage roette overed an approximately 3 x 3 in. region of the peimen web. (a) enor Layout for Diplaement and Rotation (b) train Gage Layout for Wet Fae of Web Figure 5 Intrumentation of C Compoite Wall peimen 5

6 Tranation, MiRT, 6- November,, New Delhi, India Div-VI: Paper ID# 764 TET REULT The horizontal drift (DT8-DT7) were orreted to aount for the meaured bae rotation, and the intertory drift ratio were alulated. Figure 6 how the meaured lateral load intertory drift ratio for the peimen. Figure 6. hear Fore Intertory Drift Ratio Curve Figure 7 Meaured hear train on peimen Web Figure 7 how the hear train meaured on the wet fae of the web. The train are hown in mirotrain, whih i the atual train value multiplied by 6. Thee hear train were etimated a the differene between the meaured diagonal train at eah point. The train meaured by the retangular roette were orreted to aount for the effet of tranvere train enitivity uing equation in the literature. The orreted train value were ued to further ompute the prinipal diretion with referene to the vertial axi, the prinipal train, and the maximum hear train a the differene between the prinipal train. 6

7 Tranation, MiRT, 6- November,, New Delhi, India Div-VI: Paper ID# 764 The alulation indiate that a expeted the prinipal diretion varied approximately between -45 degree for puh (+) fore and +45 degree for the pull (-) fore. The alulated prinipal train were quite omparable to the meaured diagonal train, and the maximum hear train wa alo approximately equal to the differene between the meaured diagonal train. Figure 8 how the prinipal diretion, prinipal train and maximum hear train alulated for the point loated at web enter on both the eat and wet fae. Additionally, the train value on oppoite teel plate of the ame flange were demontrated to be quite omparable to eah other. Thi implie that the flange are ubjeted to axial tenion and ompreion with very little flexural bending (and hear). Thu, the peimen flange arry axial tenion and ompreion to help reit the overturning moment in the peimen, and their ontribution to reiting the in-plane hear fore applied to the peimen i minimal. VERIFICATION Figure 8 Prinipal Diretion and train at Web Center (Eat and Wet Fae) The in-plane hear behavior of the C wall peimen an be etimated uing the mehani baed theory hown in Figure. Figure 9 how omparion of the experimentally meaured in-plane hear fore-train behavior with the behavior hown in Figure. The meaured value of the teel yield tre (6.7 ki) and onrete ompreive trength (8 pi) were ued to etimate the in-plane hear behavior predition. The omparion ue the average in-plane hear behavior etimated uing the diplaement tranduer in the web region. The omparion hown in Figure 9 are quite favorable, but with ome direpanie. The experimental behavior doe not eem to have a lear unraked portion repone, whih i probably due to the yli nature of loading and loked in hrinkage train. The experimental behavior eem to indiate point-wie inelatiity for ome of the loation in the web, whih i probably due to the reidual tree produed loally in the plate by the welding proee ued in fabriating the peimen. Upon unloading, the experimental behavior eem to have a portion of vertial (infinitely tiff) repone, whih i probably jut an artifie of the enor and mounting tehnique ued to in the meaurement. 7

8 Tranation, MiRT, 6- November,, New Delhi, India Div-VI: Paper ID# 764 Theory (a) hear Fore v. hear train in Flange (b) hear Fore v. hear train in Web Figure 9. Comparion of Experimental and Theoretial In-Plane hear Behavior CONCLUION The in-plane hear behavior of C ompoite wall an be repreented uing a tri-linear hear fore-hear train repone baed on a imple mehani baed model. The model expliitly aount for the ompoite etion behavior before raking and the raked orthotropi ompoite behavior after raking. The raking threhold orrepond to a onrete prinipal tre of (f ).5 in pi, whih inlude the effet of loked in hrinkage train and direte ompoite ation. The in-plane hear trength orrepond to the limit tate of Von Mie yielding of the teel plate. Experimental reult from tet onduted in Japan orrelate well with the mehani baed tri-linear hear fore-hear train repone. An additional large-ale yli in-plane hear tet wa onduted by the author to further ompare with the imple model. The tet wa onduted uing a unique etup and peimen deign. The experimental reult ompare reaonably with the model. There are ome minor direpanie due to the yli nature of the loading and the omplexitie of the loading and boundary ondition involved in onduting the tet. Overall, the in-plane hear behavior of C ompoite wall an be predited reaonably and onervatively uing the tri-linear hear fore-hear train repone baed on the imple mehani baed model. ACNOWLEDGMENT Teting at Purdue Univerity wa partially funded by Wetinghoue Eletri Company LLC. All opinion expreed in thi paper are tritly thoe of the author. REFERENCE [] Ozaki, M., Akita,., Oouga, H., Nakayama, T., Adahi, N. (4). "tudy on teel Plate Reinfored Conrete Panel ubjeted to Cyli In-Plane hear." Nulear Engineering and Deign, Vol. 8, pp [] Varma, A.H., and Maluhte,., (9). In-Plane Behavior of Conrete Filled teel (CF) Element. Preentation. Enloure to DCP_NRC_78. Eletroni ADAM, NRC. Item ID 337. Aeion Number ML [3] ACI 38-8, Building Code Requirement for trutural Conrete and Commentary, Amerian Conrete Intitute, Farmington Hill, MI 8. [4] AIC 36-5, peifiation for trutural teel Building, 3 Edition, Amerian Intitute of teel Contrution, Chiago, IL, 5. 8

KINEMATIC ANALYSIS OF VARIOUS ROBOT CONFIGURATIONS

KINEMATIC ANALYSIS OF VARIOUS ROBOT CONFIGURATIONS International Reearh Journal of Engineering and Tehnology (IRJET) e-in: 39-6 Volume: 4 Iue: May -7 www.irjet.net p-in: 39-7 KINEMATI ANALYI OF VARIOU ROBOT ONFIGURATION Game R. U., Davkhare A. A., Pakhale..

More information

Macrohomogenous Li-Ion-Battery Modeling - Strengths and Limitations

Macrohomogenous Li-Ion-Battery Modeling - Strengths and Limitations Marohomogenou Li-Ion-Battery Modeling - Strength and Limitation Marku Lindner Chritian Wieer Adam Opel AG Sope Purpoe of the reearh: undertand and quantify impat of implifiation in marohomogeneou model

More information

ISSN (Online), Volume 1, Special Issue 2(ICITET 15), March 2015 International Journal of Innovative Trends and Emerging Technologies

ISSN (Online), Volume 1, Special Issue 2(ICITET 15), March 2015 International Journal of Innovative Trends and Emerging Technologies International Journal of Innovative Trend and Emerging Tehnologie ROBUST SCAN TECHNIQUE FOR SECURED AES AGAINST DIFFERENTIAL CRYPTANALYSIS BASED SIDE CHANNEL ATTACK A.TAMILARASAN 1, MR.A.ANBARASAN 2 1

More information

Combined Radix-10 and Radix-16 Division Unit

Combined Radix-10 and Radix-16 Division Unit Combined adix- and adix-6 Diviion Unit Tomá ang and Alberto Nannarelli Dept. of Eletrial Engineering and Computer Siene, Univerity of California, Irvine, USA Dept. of Informati & Math. Modelling, Tehnial

More information

Datum Transformations of NAV420 Reference Frames

Datum Transformations of NAV420 Reference Frames NA4CA Appliation Note Datum ranformation of NA4 Referene Frame Giri Baleri, Sr. Appliation Engineer Crobow ehnology, In. http://www.xbow.om hi appliation note explain how to onvert variou referene frame

More information

Kinematic design of a double wishbone type front suspension mechanism using multi-objective optimization

Kinematic design of a double wishbone type front suspension mechanism using multi-objective optimization 5 th utralaian Congre on pplied Mehani, CM 2007 10-12 Deember 2007, Bribane, utralia Kinemati deign of a double wihbone tpe front upenion mehanim uing multi-objetive optimiation J. S. wang 1, S. R. Kim

More information

Incorporating Speculative Execution into Scheduling of Control-flow Intensive Behavioral Descriptions

Incorporating Speculative Execution into Scheduling of Control-flow Intensive Behavioral Descriptions Inorporating Speulative Exeution into Sheduling of Control-flow Intenive Behavioral Deription Ganeh Lakhminarayana, Anand Raghunathan, and Niraj K. Jha Dept. of Eletrial Engineering C&C Reearh Laboratorie

More information

Parametric Micro-level Performance Models for Parallel Computing

Parametric Micro-level Performance Models for Parallel Computing Computer Siene Tehnial Report Computer Siene 12-5-1994 Parametri Miro-level Performane Model for Parallel Computing Youngtae Kim Iowa State Univerity Mark Fienup Iowa State Univerity Jeffrey S. Clary Iowa

More information

Finite Elements Method in Split Hopkinson Pressure Bar developing process

Finite Elements Method in Split Hopkinson Pressure Bar developing process 6th WSEAS International Conference on SYSTEM SCIENCE and SIMULATION in ENGINEERING, Venice, Italy, November 1-3, 007 63 Finite Element Method in Split Hopkinon Preure Bar developing proce ROTARIU ADRIAN

More information

MAT 155: Describing, Exploring, and Comparing Data Page 1 of NotesCh2-3.doc

MAT 155: Describing, Exploring, and Comparing Data Page 1 of NotesCh2-3.doc MAT 155: Decribing, Exploring, and Comparing Data Page 1 of 8 001-oteCh-3.doc ote for Chapter Summarizing and Graphing Data Chapter 3 Decribing, Exploring, and Comparing Data Frequency Ditribution, Graphic

More information

Description of Traffic in ATM Networks by the First Erlang Formula

Description of Traffic in ATM Networks by the First Erlang Formula 5th International Conferene on Information Tehnology and Appliation (ICITA 8) Deription of Traffi in ATM Network by the Firt Erlang Formula Erik Chromý, Matej Kavaký and Ivan Baroňák Abtrat In the paper

More information

Universität Augsburg. Institut für Informatik. Approximating Optimal Visual Sensor Placement. E. Hörster, R. Lienhart.

Universität Augsburg. Institut für Informatik. Approximating Optimal Visual Sensor Placement. E. Hörster, R. Lienhart. Univerität Augburg à ÊÇÅÍÆ ËÀǼ Approximating Optimal Viual Senor Placement E. Hörter, R. Lienhart Report 2006-01 Januar 2006 Intitut für Informatik D-86135 Augburg Copyright c E. Hörter, R. Lienhart Intitut

More information

ANALYSIS OF PILE DRIVING IN VERTICAL AND HORIZONTAL DIRECTIONS USING A HYBRID MODEL

ANALYSIS OF PILE DRIVING IN VERTICAL AND HORIZONTAL DIRECTIONS USING A HYBRID MODEL ANALYSIS OF PILE DRIVING IN VERTICAL AND HORIZONTAL DIRECTIONS USING A HYBRID MODEL TATSUNORI MATSUMOTO i) PASTSAKORN KITIYODOM ii) EIJI KOJIMA iii) HIROMICHI KUMAGAI iv) SATOSHI NISHIMOTO v) and KOUICHI

More information

COURSEWORK 1 FOR INF2B: FINDING THE DISTANCE OF CLOSEST PAIRS OF POINTS ISSUED: 9FEBRUARY 2017

COURSEWORK 1 FOR INF2B: FINDING THE DISTANCE OF CLOSEST PAIRS OF POINTS ISSUED: 9FEBRUARY 2017 COURSEWORK 1 FOR INF2B: FINDING THE DISTANCE OF CLOSEST PAIRS OF POINTS ISSUED: 9FEBRUARY 2017 Submiion Deadline: The ourework onit of two part (of a different nature) relating to one problem. A hown below

More information

Modeling of underwater vehicle s dynamics

Modeling of underwater vehicle s dynamics Proceeding of the 11th WEA International Conference on YTEM, Agio Nikolao, Crete Iland, Greece, July 23-25, 2007 44 Modeling of underwater vehicle dynamic ANDRZEJ ZAK Department of Radiolocation and Hydrolocation

More information

Inverse Kinematics 1 1/29/2018

Inverse Kinematics 1 1/29/2018 Invere Kinemati 1 Invere Kinemati 2 given the poe of the end effetor, find the joint variable that produe the end effetor poe for a -joint robot, given find 1 o R T 3 2 1,,,,, q q q q q q RPP + Spherial

More information

Laboratory Exercise 6

Laboratory Exercise 6 Laboratory Exercie 6 Adder, Subtractor, and Multiplier The purpoe of thi exercie i to examine arithmetic circuit that add, ubtract, and multiply number. Each type of circuit will be implemented in two

More information

OSI Model. SS7 Protocol Model. Application TCAP. Presentation Session Transport. ISDN-UP Null SCCP. Network. MTP Level 3 MTP Level 2 MTP Level 1

OSI Model. SS7 Protocol Model. Application TCAP. Presentation Session Transport. ISDN-UP Null SCCP. Network. MTP Level 3 MTP Level 2 MTP Level 1 Direte Event Simulation of CCS7 DAP Benjamin, AE Krzeinki and S Staven Department of Computer Siene Univerity of Stellenboh 7600 Stellenboh, South Afria fbenj,aek,taveng@.un.a.za ABSTRACT: Complex imulation

More information

Pipelined Multipliers for Reconfigurable Hardware

Pipelined Multipliers for Reconfigurable Hardware Pipelined Multipliers for Reonfigurable Hardware Mithell J. Myjak and José G. Delgado-Frias Shool of Eletrial Engineering and Computer Siene, Washington State University Pullman, WA 99164-2752 USA {mmyjak,

More information

SPH3UW Unit 7.1 The Ray Model of Light Page 2 of 5. The accepted value for the speed of light inside a vacuum is c m which we usually

SPH3UW Unit 7.1 The Ray Model of Light Page 2 of 5. The accepted value for the speed of light inside a vacuum is c m which we usually SPH3UW Unit 7. The Ray Model of Light Page of 5 Note Phyi Tool box Ray light trael in traight path alled ray. Index of refration (n) i the ratio of the peed of light () in a auu to the peed of light in

More information

Automatic design of robust PID controllers based on QFT specifications

Automatic design of robust PID controllers based on QFT specifications IFAC Conferene on Advane in PID Control PID'1 Breia (Italy), Marh 8-3, 1 Automati deign of robut PID ontroller baed on QFT peifiation R. Comaòliva*, T. Eobet* J. Quevedo* * Advaned Control Sytem (SAC),

More information

Using Bayesian Networks for Cleansing Trauma Data

Using Bayesian Networks for Cleansing Trauma Data Uing Bayeian Network for Cleaning Trauma Data Prahant J. Dohi pdohi@.ui.edu Dept. of Computer Siene Univ of Illinoi, Chiago, IL 60607 Lloyd G. Greenwald lgreenwa@.drexel.edu Dept. of Computer Siene Drexel

More information

Development of an atmospheric climate model with self-adapting grid and physics

Development of an atmospheric climate model with self-adapting grid and physics Intitute of Phyic Publihing Journal of Phyic: Conference Serie 16 (2005) 353 357 doi:10.1088/1742-6596/16/1/049 SciDAC 2005 Development of an atmopheric climate model with elf-adapting grid and phyic Joyce

More information

Shortest Paths in Directed Graphs

Shortest Paths in Directed Graphs Shortet Path in Direted Graph Jonathan Turner January, 0 Thi note i adapted from Data Struture and Network Algorithm y Tarjan. Let G = (V, E) e a direted graph and let length e a real-valued funtion on

More information

Relayer Selection Strategies in Cellular Networks with Peer-to-Peer Relaying

Relayer Selection Strategies in Cellular Networks with Peer-to-Peer Relaying Relayer Seletion Strategie in Cellular Network with Peer-to-Peer Relaying V. Sreng, H. Yanikomeroglu, and D. D. Faloner Broadband Communiation and Wirele Sytem (BCWS) Centre Dept. of Sytem and Computer

More information

1. Introduction. Abstract

1. Introduction. Abstract Automati Ontology Derivation Uing Clutering for Image Claifiation 1 Latifur Khan and Lei Wang Department of Computer Siene Univerity of Texa at Dalla, TX 75083-0688 Email: [lkhan, leiwang]@utdalla.edu

More information

UNIAXIAL COMPRESSION TEST AND STRESS WAVE PROPAGATION MODELLING USING SPH

UNIAXIAL COMPRESSION TEST AND STRESS WAVE PROPAGATION MODELLING USING SPH Fifth International Conference on CFD in the Proce Indutrie CSIRO, Melbourne, Autralia - December UNIAXIAL COMPRESSION TEST AND STRESS WAVE PROPAGATION MODELLING USING SPH Rajarhi DAS and Paul W. CLEARY

More information

Chapter 13 Non Sampling Errors

Chapter 13 Non Sampling Errors Chapter 13 Non Sampling Error It i a general aumption in the ampling theory that the true value of each unit in the population can be obtained and tabulated without any error. In practice, thi aumption

More information

UC Berkeley International Conference on GIScience Short Paper Proceedings

UC Berkeley International Conference on GIScience Short Paper Proceedings UC Berkeley International Conference on GIScience Short Paper Proceeding Title A novel method for probabilitic coverage etimation of enor network baed on 3D vector repreentation in complex urban environment

More information

KINEMATIC BENDING OF FIXED-HEAD PILES IN NON- HOMOGENEOUS SOIL

KINEMATIC BENDING OF FIXED-HEAD PILES IN NON- HOMOGENEOUS SOIL KINEMATIC BENDING OF FIXED-HEAD PILES IN NON- HOMOGENEOUS SOIL Raffaele Di Laora Univerity of Napoli Parthenope raffaele.dilaora@uniparthenope.it Emmanouil Rovithi Intitute of Engineering Seimology and

More information

ES205 Analysis and Design of Engineering Systems: Lab 1: An Introductory Tutorial: Getting Started with SIMULINK

ES205 Analysis and Design of Engineering Systems: Lab 1: An Introductory Tutorial: Getting Started with SIMULINK ES05 Analyi and Deign of Engineering Sytem: Lab : An Introductory Tutorial: Getting Started with SIMULINK What i SIMULINK? SIMULINK i a oftware package for modeling, imulating, and analyzing dynamic ytem.

More information

arxiv: v1 [physics.soc-ph] 17 Oct 2013

arxiv: v1 [physics.soc-ph] 17 Oct 2013 Emergene of Blind Area in Information Sreading arxiv:131707v1 [hyi.o-h] 17 Ot 2013 Zi-Ke Zhang 1,2,, Chu-Xu Zhang 1,3,, Xiao-Pu Han 1,2 and Chuang Liu 1,2 1 Intitute of Information Eonomy, Hangzhou Normal

More information

Minimum congestion spanning trees in bipartite and random graphs

Minimum congestion spanning trees in bipartite and random graphs Minimum congetion panning tree in bipartite and random graph M.I. Otrovkii Department of Mathematic and Computer Science St. John Univerity 8000 Utopia Parkway Queen, NY 11439, USA e-mail: otrovm@tjohn.edu

More information

Keywords: Defect detection, linear phased array transducer, parameter optimization, phased array ultrasonic B-mode imaging testing.

Keywords: Defect detection, linear phased array transducer, parameter optimization, phased array ultrasonic B-mode imaging testing. Send Order for Reprint to reprint@benthamcience.ae 488 The Open Automation and Control Sytem Journal, 2014, 6, 488-492 Open Acce Parameter Optimization of Linear Phaed Array Tranducer for Defect Detection

More information

New DSP to measure acoustic efficiency of road barriers. Part 2: Sound Insulation Index

New DSP to measure acoustic efficiency of road barriers. Part 2: Sound Insulation Index New DSP to meaure acoutic efficiency of road barrier. Part 2: Sound Inulation Index LAMBERTO TRONCHIN 1, KRISTIAN FABBRI 1, JELENA VASILJEVIC 2 1 DIENCA CIARM, Univerity of Bologna, Italy 2 Univerity of

More information

PROBABILISTIC SURFACE DAMAGE TOLERANCE ASSESSMENT OF AIRCRAFT TURBINE ROTORS

PROBABILISTIC SURFACE DAMAGE TOLERANCE ASSESSMENT OF AIRCRAFT TURBINE ROTORS Proeedings of ASE Turbo Expo 2 Power for Land, Sea, and Air June 16 19, 2, Atlanta, Georgia, USA GT2-871 PROBABILISTIC SURFACE DAAGE TOLERANCE ASSESSENT OF AIRCRAFT TURBINE ROTORS ihael P. Enright R. Craig

More information

An Evolutionary Multiple Heuristic with Genetic Local Search for Solving TSP

An Evolutionary Multiple Heuristic with Genetic Local Search for Solving TSP An Evolutionary Multiple Heuriti with Geneti Loal Searh for Solving TSP Peng Gang Ihiro Iimura 2 and Shigeru Nakayama 3 Department of Information and Computer Siene Faulty of Engineering Kagohima Univerity

More information

Introduction to Seismology Spring 2008

Introduction to Seismology Spring 2008 MIT OpenCourseWare http://ow.mit.edu 1.510 Introdution to Seismology Spring 008 For information about iting these materials or our Terms of Use, visit: http://ow.mit.edu/terms. 1.510 Leture Notes 3.3.007

More information

Operational Semantics Class notes for a lecture given by Mooly Sagiv Tel Aviv University 24/5/2007 By Roy Ganor and Uri Juhasz

Operational Semantics Class notes for a lecture given by Mooly Sagiv Tel Aviv University 24/5/2007 By Roy Ganor and Uri Juhasz Operational emantic Page Operational emantic Cla note for a lecture given by Mooly agiv Tel Aviv Univerity 4/5/7 By Roy Ganor and Uri Juhaz Reference emantic with Application, H. Nielon and F. Nielon,

More information

Development Length: Compression Bars

Development Length: Compression Bars CHAPTER Reinfored Conrete Design Fifth Edition DEVELOPMENT, SPLICES, AND SIMPLE SPAN BAR CUTOFFS A. J. Clark Shool of Engineering Department of Civil and Environmental Engineering Part I Conrete Design

More information

SLA Adaptation for Service Overlay Networks

SLA Adaptation for Service Overlay Networks SLA Adaptation for Service Overlay Network Con Tran 1, Zbigniew Dziong 1, and Michal Pióro 2 1 Department of Electrical Engineering, École de Technologie Supérieure, Univerity of Quebec, Montréal, Canada

More information

Calculations for multiple mixers are based on a formalism that uses sideband information and LO frequencies: ( ) sb

Calculations for multiple mixers are based on a formalism that uses sideband information and LO frequencies: ( ) sb Setting frequeny parameter in the WASP databae A. Harri 24 Aug 2003 Calulation for multiple mixer are baed on a formalim that ue ideband information and LO frequenie: b b := ign f ig f LO f IF := f ig

More information

EXPERIMENTS AND ANALYSIS OF ROLLER TYPE ISOLATION DEVICE

EXPERIMENTS AND ANALYSIS OF ROLLER TYPE ISOLATION DEVICE 3 th World Conferene on Earthquake Engineering Vanouver, BC, Canada ugut 6, 4 Paer No 336 EXPERIMENTS N NLYSIS OF ROLLER TYPE ISOLTION EVICE Satohi UE Takao ENOMOTO Takafui FUJIT 3 SUMMRY Jaan i the ountry

More information

Planning of scooping position and approach path for loading operation by wheel loader

Planning of scooping position and approach path for loading operation by wheel loader 22 nd International Sympoium on Automation and Robotic in Contruction ISARC 25 - September 11-14, 25, Ferrara (Italy) 1 Planning of cooping poition and approach path for loading operation by wheel loader

More information

Performance of a Robust Filter-based Approach for Contour Detection in Wireless Sensor Networks

Performance of a Robust Filter-based Approach for Contour Detection in Wireless Sensor Networks Performance of a Robut Filter-baed Approach for Contour Detection in Wirele Senor Network Hadi Alati, William A. Armtrong, Jr., and Ai Naipuri Department of Electrical and Computer Engineering The Univerity

More information

CENTER-POINT MODEL OF DEFORMABLE SURFACE

CENTER-POINT MODEL OF DEFORMABLE SURFACE CENTER-POINT MODEL OF DEFORMABLE SURFACE Piotr M. Szczypinki Iintitute of Electronic, Technical Univerity of Lodz, Poland Abtract: Key word: Center-point model of deformable urface for egmentation of 3D

More information

Interface Tracking in Eulerian and MMALE Calculations

Interface Tracking in Eulerian and MMALE Calculations Interface Tracking in Eulerian and MMALE Calculation Gabi Luttwak Rafael P.O.Box 2250, Haifa 31021,Irael Interface Tracking in Eulerian and MMALE Calculation 3D Volume of Fluid (VOF) baed recontruction

More information

Q1:Choose the correct answer:

Q1:Choose the correct answer: Q:Chooe the orret anwer:. Purpoe of an OS i a. Create abtration b. Multiple proee ompete for ue of proeor. Coordination. Sheduler deide a. whih proee get to ue the proeor b. when proee get to ue the proeor.

More information

A SIMPLE IMPERATIVE LANGUAGE THE STORE FUNCTION NON-TERMINATING COMMANDS

A SIMPLE IMPERATIVE LANGUAGE THE STORE FUNCTION NON-TERMINATING COMMANDS A SIMPLE IMPERATIVE LANGUAGE Eventually we will preent the emantic of a full-blown language, with declaration, type and looping. However, there are many complication, o we will build up lowly. Our firt

More information

Self-Contained Automated Construction Deposition System

Self-Contained Automated Construction Deposition System Self-Containe Automate Contrution Depoition Sytem Robert L. William II Ohio Univerity, Athen, Ohio Jame S. Albu an Roger V. Botelman NIST, Gaitherburg, MD Automation in Contrution (an International Reearh

More information

Comparison of Methods for Horizon Line Detection in Sea Images

Comparison of Methods for Horizon Line Detection in Sea Images Comparion of Method for Horizon Line Detection in Sea Image Tzvika Libe Evgeny Gerhikov and Samuel Koolapov Department of Electrical Engineering Braude Academic College of Engineering Karmiel 2982 Irael

More information

How to. write a paper. The basics writing a solid paper Different communities/different standards Common errors

How to. write a paper. The basics writing a solid paper Different communities/different standards Common errors How to write a paper The baic writing a olid paper Different communitie/different tandard Common error Reource Raibert eay My grammar point Article on a v. the Bug in writing Clarity Goal Conciene Calling

More information

An Approach to Physics Based Surrogate Model Development for Application with IDPSA

An Approach to Physics Based Surrogate Model Development for Application with IDPSA An Approah to Physis Based Surrogate Model Development for Appliation with IDPSA Ignas Mikus a*, Kaspar Kööp a, Marti Jeltsov a, Yuri Vorobyev b, Walter Villanueva a, and Pavel Kudinov a a Royal Institute

More information

System-Level Parallelism and Throughput Optimization in Designing Reconfigurable Computing Applications

System-Level Parallelism and Throughput Optimization in Designing Reconfigurable Computing Applications System-Level Parallelism and hroughput Optimization in Designing Reonfigurable Computing Appliations Esam El-Araby 1, Mohamed aher 1, Kris Gaj 2, arek El-Ghazawi 1, David Caliga 3, and Nikitas Alexandridis

More information

Laboratory Exercise 2

Laboratory Exercise 2 Laoratory Exercie Numer and Diplay Thi i an exercie in deigning cominational circuit that can perform inary-to-decimal numer converion and inary-coded-decimal (BCD) addition. Part I We wih to diplay on

More information

Accommodations of QoS DiffServ Over IP and MPLS Networks

Accommodations of QoS DiffServ Over IP and MPLS Networks Aommodations of QoS DiffServ Over IP and MPLS Networks Abdullah AlWehaibi, Anjali Agarwal, Mihael Kadoh and Ahmed ElHakeem Department of Eletrial and Computer Department de Genie Eletrique Engineering

More information

IMPLEMENTATION OF AREA, VOLUME AND LINE SOURCES

IMPLEMENTATION OF AREA, VOLUME AND LINE SOURCES December 01 ADMS 5 P503I1 IMPEMENTATION OF AREA, VOUME AND INE SOURCES The Met. Office (D J Thomon) and CERC 1. INTRODUCTION ADMS model line ource, and area and volume ource with conve polgon bae area.

More information

Numerical Modeling of Material Discontinuity Using Mixed MLPG Collocation Method

Numerical Modeling of Material Discontinuity Using Mixed MLPG Collocation Method umerical odeling of aterial Dicontinuit Uing ied LPG Collocation ethod B. alušić 1,. Sorić 1 and T. arak 1 Abtract A mied LPG collocation method i applied for the modeling of material dicontinuit in heterogeneou

More information

Reporting Checklist for Nature Neuroscience

Reporting Checklist for Nature Neuroscience Correponding Author: Manucript Number: Manucript Type: Jeremy Elman NNBC48172A Brief Communication Reporting Checklit for Nature Neurocience # Figure: 2 # Figure: 5 # Table: 6 # Video: 0 Thi checklit i

More information

USING ARTIFICIAL NEURAL NETWORKS TO APPROXIMATE A DISCRETE EVENT STOCHASTIC SIMULATION MODEL

USING ARTIFICIAL NEURAL NETWORKS TO APPROXIMATE A DISCRETE EVENT STOCHASTIC SIMULATION MODEL USING ARTIFICIAL NEURAL NETWORKS TO APPROXIMATE A DISCRETE EVENT STOCHASTIC SIMULATION MODEL Robert A. Kilmer Department of Sytem Engineering Unite State Military Acaemy Wet Point, NY 1996 Alice E. Smith

More information

Laboratory Exercise 6

Laboratory Exercise 6 Laboratory Exercie 6 Adder, Subtractor, and Multiplier a a The purpoe of thi exercie i to examine arithmetic circuit that add, ubtract, and multiply number. Each b c circuit will be decribed in Verilog

More information

Pruning Game Tree by Rollouts

Pruning Game Tree by Rollouts Pruning Game Tree by Rollout Bojun Huang Mirooft Reearh bojhuang@mirooft.om Abtrat In thi paper we how that the α-β algorithm and it ueor MT-SSS*, a two lai minimax earh algorithm, an be implemented a

More information

A Novel Grey-RSS Navigation System Design for Mobile Robots

A Novel Grey-RSS Navigation System Design for Mobile Robots A vel Grey-RSS Navigation Sytem Deign for Mobile Robot Albert Wen-Long Yao*,, Hin-Te Liao, and Shiou-De Chen Department of Mechanical and Automation Engineering, National Kaohiung Firt Univerity of Science

More information

[N309] Feedforward Active Noise Control Systems with Online Secondary Path Modeling. Muhammad Tahir Akhtar, Masahide Abe, and Masayuki Kawamata

[N309] Feedforward Active Noise Control Systems with Online Secondary Path Modeling. Muhammad Tahir Akhtar, Masahide Abe, and Masayuki Kawamata he 32nd International Congre and Expoition on Noie Control Engineering Jeju International Convention Center, Seogwipo, Korea, Augut 25-28, 2003 [N309] Feedforward Active Noie Control Sytem with Online

More information

HOMEWORK #3 BME 473 ~ Applied Biomechanics Due during Week #10

HOMEWORK #3 BME 473 ~ Applied Biomechanics Due during Week #10 HOMEWORK #3 BME 473 ~ Applied Biomechanic Due during Week #1 1. We dicued different angle et convention in cla. One common convention i a Bod-fied X-Y-Z rotation equence. With thi convention, the B frame

More information

Bringin. Andrew. Cambridge, CB3. once the. sensing multiple touch. the entire hand. of fine-grained. to approach hides.

Bringin. Andrew. Cambridge, CB3. once the. sensing multiple touch. the entire hand. of fine-grained. to approach hides. Bringin ng Phyi to the Surfae Andrew D. Wilon 1, Shahram Izadi 2, Otmar Hillige 2, Armando Garia-Mendoza 2, David Kirk 2 1 Mirooft Reearh 2 Mirooft Reearh Cambridge One Mirooft Way 7 JJ Thomon Avenue Redmond,

More information

Particle Swarm Optimization for the Design of High Diffraction Efficient Holographic Grating

Particle Swarm Optimization for the Design of High Diffraction Efficient Holographic Grating Original Artile Partile Swarm Optimization for the Design of High Diffration Effiient Holographi Grating A.K. Tripathy 1, S.K. Das, M. Sundaray 3 and S.K. Tripathy* 4 1, Department of Computer Siene, Berhampur

More information

NUMERICAL MODELING ON THE DAMPING CONTROL OF TLD STRUCTURE

NUMERICAL MODELING ON THE DAMPING CONTROL OF TLD STRUCTURE 4th International Conference on Earthquake Engineering Taipei, Taiwan October 12-13, 2006 Paper No. 183 NUMERICAL MODELING ON THE DAMPING CONTROL OF TLD STRUCTURE Han jun 1, Li Yingmin 2, Liu Liping 3,

More information

The Association of System Performance Professionals

The Association of System Performance Professionals The Aociation of Sytem Performance Profeional The Computer Meaurement Group, commonly called CMG, i a not for profit, worldwide organization of data proceing profeional committed to the meaurement and

More information

Karen L. Collins. Wesleyan University. Middletown, CT and. Mark Hovey MIT. Cambridge, MA Abstract

Karen L. Collins. Wesleyan University. Middletown, CT and. Mark Hovey MIT. Cambridge, MA Abstract Mot Graph are Edge-Cordial Karen L. Collin Dept. of Mathematic Weleyan Univerity Middletown, CT 6457 and Mark Hovey Dept. of Mathematic MIT Cambridge, MA 239 Abtract We extend the definition of edge-cordial

More information

Visual Targeted Advertisement System Based on User Profiling and Content Consumption for Mobile Broadcasting Television

Visual Targeted Advertisement System Based on User Profiling and Content Consumption for Mobile Broadcasting Television Viual Targeted Advertiement Sytem Baed on Uer Profiling and ontent onumption for Mobile Broadating Televiion Silvia Uribe Federio Alvarez Joé Manuel Menéndez Guillermo inero Abtrat ontent peronaliation

More information

Lecture 14: Minimum Spanning Tree I

Lecture 14: Minimum Spanning Tree I COMPSCI 0: Deign and Analyi of Algorithm October 4, 07 Lecture 4: Minimum Spanning Tree I Lecturer: Rong Ge Scribe: Fred Zhang Overview Thi lecture we finih our dicuion of the hortet path problem and introduce

More information

View-Based Tree-Language Rewritings

View-Based Tree-Language Rewritings View-Baed Tree-Language Rewriting Lak Lakhmanan, Alex Thomo Univerity of Britih Columbia, Canada Univerity of Vitoria, Canada Importane of tree XML Semi-trutured textual format are very popular.

More information

Compressed Sensing Image Processing Based on Stagewise Orthogonal Matching Pursuit

Compressed Sensing Image Processing Based on Stagewise Orthogonal Matching Pursuit Senor & randucer, Vol. 8, Iue 0, October 204, pp. 34-40 Senor & randucer 204 by IFSA Publihing, S. L. http://www.enorportal.com Compreed Sening Image Proceing Baed on Stagewie Orthogonal Matching Puruit

More information

Video Data and Sonar Data: Real World Data Fusion Example

Video Data and Sonar Data: Real World Data Fusion Example 14th International Conferene on Information Fusion Chiago, Illinois, USA, July 5-8, 2011 Video Data and Sonar Data: Real World Data Fusion Example David W. Krout Applied Physis Lab dkrout@apl.washington.edu

More information

Classical Univariate Statistics

Classical Univariate Statistics 1 2 Statitial Modelling and Computing Nik Fieller Department of Probability & Statiti Unierity of Sheffield, UK Claial Uniariate Statiti (& Alternatie) Claial tatitial tet and p-alue Simple imulation method

More information

Measurement of the stereoscopic rangefinder beam angular velocity using the digital image processing method

Measurement of the stereoscopic rangefinder beam angular velocity using the digital image processing method Measurement of the stereosopi rangefinder beam angular veloity using the digital image proessing method ROMAN VÍTEK Department of weapons and ammunition University of defense Kouniova 65, 62 Brno CZECH

More information

Calculation of typical running time of a branch-and-bound algorithm for the vertex-cover problem

Calculation of typical running time of a branch-and-bound algorithm for the vertex-cover problem Calulation of typial running time of a branh-and-bound algorithm for the vertex-over problem Joni Pajarinen, Joni.Pajarinen@iki.fi Otober 21, 2007 1 Introdution The vertex-over problem is one of a olletion

More information

Chemical, Biological and Radiological Hazard Assessment: A New Model of a Plume in a Complex Urban Environment

Chemical, Biological and Radiological Hazard Assessment: A New Model of a Plume in a Complex Urban Environment hemial, Biologial and Radiologial Haard Assessment: A New Model of a Plume in a omplex Urban Environment Skvortsov, A.T., P.D. Dawson, M.D. Roberts and R.M. Gailis HPP Division, Defene Siene and Tehnology

More information

Floating Point CORDIC Based Power Operation

Floating Point CORDIC Based Power Operation Floating Point CORDIC Baed Power Operation Kazumi Malhan, Padmaja AVL Electrical and Computer Engineering Department School of Engineering and Computer Science Oakland Univerity, Rocheter, MI e-mail: kmalhan@oakland.edu,

More information

About this Topic. Topic 4. Arithmetic Circuits. Different adder architectures. Basic Ripple Carry Adder

About this Topic. Topic 4. Arithmetic Circuits. Different adder architectures. Basic Ripple Carry Adder About thi Topi Topi 4 Arithmeti Ciruit Peter Cheung Department of Eletrial & Eletroni Engineering Imperial College London URL: www.ee.imperial.a.uk/pheung/ E-mail: p.heung@imperial.a.uk Comparion of adder

More information

Laboratory Exercise 6

Laboratory Exercise 6 Laboratory Exercie 6 Adder, Subtractor, and Multiplier The purpoe of thi exercie i to examine arithmetic circuit that add, ubtract, and multiply number. Each circuit will be decribed in Verilog and implemented

More information

Analyzing Hydra Historical Statistics Part 2

Analyzing Hydra Historical Statistics Part 2 Analyzing Hydra Hitorical Statitic Part Fabio Maimo Ottaviani EPV Technologie White paper 5 hnode HSM Hitorical Record The hnode i the hierarchical data torage management node and ha to perform all the

More information

A Novel Architecture for Real Time Implementation of Edge Detectors on FPGA

A Novel Architecture for Real Time Implementation of Edge Detectors on FPGA IJCSI International Journal of Computer Science Iue, Vol. 8, Iue 1, January 2011 193 A Novel Architecture for Real Time Implementation of Edge Detector on FPGA Sudeep K C 1 and Dr. Jharna Majumdar 2 1

More information

Topics. Lecture 37: Global Optimization. Issues. A Simple Example: Copy Propagation X := 3 B > 0 Y := 0 X := 4 Y := Z + W A := 2 * 3X

Topics. Lecture 37: Global Optimization. Issues. A Simple Example: Copy Propagation X := 3 B > 0 Y := 0 X := 4 Y := Z + W A := 2 * 3X Lecture 37: Global Optimization [Adapted from note by R. Bodik and G. Necula] Topic Global optimization refer to program optimization that encompa multiple baic block in a function. (I have ued the term

More information

Introduction to PET Image Reconstruction. Tomographic Imaging. Projection Imaging. PET Image Reconstruction 11/6/07

Introduction to PET Image Reconstruction. Tomographic Imaging. Projection Imaging. PET Image Reconstruction 11/6/07 Introduction to PET Image Recontruction Adam Aleio Nuclear Medicine Lecture Imaging Reearch Laboratory Diviion of Nuclear Medicine Univerity of Wahington Fall 2007 http://dept.wahington.edu/nucmed/irl/education.html

More information

Tu SBT4 12 Most Frequent Value Based Factor Analysis of Engineering Geophysical Sounding Logs

Tu SBT4 12 Most Frequent Value Based Factor Analysis of Engineering Geophysical Sounding Logs 30 May June 016 Reed Mee Wien Tu SBT4 1 Mot Frequent Value Baed Factor Analyi of Engineering Geophyical Sounding Log N.P. Szabo* (MTA-ME Geoeng. Re. Group, Univ. of Mikolc) & G.P. Balogh (Univerity of

More information

MATH STUDENT BOOK. 12th Grade Unit 6

MATH STUDENT BOOK. 12th Grade Unit 6 MATH STUDENT BOOK 12th Grade Unit 6 Unit 6 TRIGONOMETRIC APPLICATIONS MATH 1206 TRIGONOMETRIC APPLICATIONS INTRODUCTION 3 1. TRIGONOMETRY OF OBLIQUE TRIANGLES 5 LAW OF SINES 5 AMBIGUITY AND AREA OF A TRIANGLE

More information

Distributed Resource Allocation Strategies for Achieving Quality of Service in Server Clusters

Distributed Resource Allocation Strategies for Achieving Quality of Service in Server Clusters Proeedings of the 45th IEEE Conferene on Deision & Control Manhester Grand Hyatt Hotel an Diego, CA, UA, Deember 13-15, 2006 Distributed Resoure Alloation trategies for Ahieving Quality of ervie in erver

More information

Deterministic Access for DSRC/802.11p Vehicular Safety Communication

Deterministic Access for DSRC/802.11p Vehicular Safety Communication eterminiti Ae for SRC/802.11p Vehiular Safety Communiation Jihene Rezgui, Soumaya Cheraoui, Omar Charoun INTERLAB Reearh Laboratory Univerité de Sherbrooe, Canada {jihene.rezgui, oumaya.heraoui, omar.haroun

More information

A Novel Method for Removing Image Staircase Artifacts

A Novel Method for Removing Image Staircase Artifacts Vol.139 (SIP 016, pp.56-63 http://dx.doi.org/10.1457/atl.016.139.54 A Novel Method for Removing Image Stairae Artifat Zhong Chen 1,, Zhiwei Hou 1, Yuegang Xing, Xiaobing Chen 1 1 Jiangu Key Laboratory

More information

COLLAGEN ORIENTATION AND WAVINESS WITHIN THE VEIN WALL

COLLAGEN ORIENTATION AND WAVINESS WITHIN THE VEIN WALL XI International Conference on Computational Platicity. Fundamental and Application COMPLAS XI E. Oñate, D.R.J. Owen, D. Peric and B. Suárez (Ed) COLLAGEN ORIENTATION AND WAVINESS WITHIN THE VEIN WALL

More information

A Novel Validity Index for Determination of the Optimal Number of Clusters

A Novel Validity Index for Determination of the Optimal Number of Clusters IEICE TRANS. INF. & SYST., VOL.E84 D, NO.2 FEBRUARY 2001 281 LETTER A Novel Validity Index for Determination of the Optimal Number of Clusters Do-Jong KIM, Yong-Woon PARK, and Dong-Jo PARK, Nonmembers

More information

/06/$ IEEE 364

/06/$ IEEE 364 006 IEEE International ympoium on ignal Proceing and Information Technology oie Variance Etimation In ignal Proceing David Makovoz IPAC, California Intitute of Technology, MC-0, Paadena, CA, 95 davidm@ipac.caltech.edu;

More information

A METHOD OF REAL-TIME NURBS INTERPOLATION WITH CONFINED CHORD ERROR FOR CNC SYSTEMS

A METHOD OF REAL-TIME NURBS INTERPOLATION WITH CONFINED CHORD ERROR FOR CNC SYSTEMS Vietnam Journal of Science and Technology 55 (5) (017) 650-657 DOI: 10.1565/55-518/55/5/906 A METHOD OF REAL-TIME NURBS INTERPOLATION WITH CONFINED CHORD ERROR FOR CNC SYSTEMS Nguyen Huu Quang *, Banh

More information

Service and Network Management Interworking in Future Wireless Systems

Service and Network Management Interworking in Future Wireless Systems Service and Network Management Interworking in Future Wirele Sytem V. Tountopoulo V. Stavroulaki P. Demeticha N. Mitrou and M. Theologou National Technical Univerity of Athen Department of Electrical Engineering

More information

An Optimized Approach on Applying Genetic Algorithm to Adaptive Cluster Validity Index

An Optimized Approach on Applying Genetic Algorithm to Adaptive Cluster Validity Index IJCSES International Journal of Computer Sienes and Engineering Systems, ol., No.4, Otober 2007 CSES International 2007 ISSN 0973-4406 253 An Optimized Approah on Applying Geneti Algorithm to Adaptive

More information

Stress-Blended Eddy Simulation (SBES) - A new Paradigm in hybrid RANS-LES Modeling

Stress-Blended Eddy Simulation (SBES) - A new Paradigm in hybrid RANS-LES Modeling Stre-Blended Eddy Simulation (SBES) - A new Paradigm in hybrid RANS-LES Modeling Menter F.R. ANSYS Germany GmbH Introduction It i oberved in many CFD imulation that RANS model how inherent technology limitation

More information

Cracked Hole Finite Element Modeling

Cracked Hole Finite Element Modeling Craked Hole Finite Element Modeling (E-20-F72) Researh Report Submitted to: Lokheed Martin, Program Manager: Dr. Stephen P. Engelstad Prinipal Investigator: Dr. Rami M. Haj-Ali Shool of Civil and Environmental

More information

Triangles. Learning Objectives. Pre-Activity

Triangles. Learning Objectives. Pre-Activity Setion 3.2 Pre-tivity Preparation Triangles Geena needs to make sure that the dek she is building is perfetly square to the brae holding the dek in plae. How an she use geometry to ensure that the boards

More information