Step-Voltage Regulator Model Test System

Size: px
Start display at page:

Download "Step-Voltage Regulator Model Test System"

Transcription

1 IEEE PES GENERAL MEETING, JULY 5 Step-Voltge Regultor Model Test System Md Rejwnur Rshid Mojumdr, Pblo Arboley, Senior Member, IEEE nd Cristin González-Morán, Member, IEEE Abstrct In this pper, 4-node test feeder will be proposed s the Step-Voltge Regultor (SVR) model test system. The formultion for modelling SVR bnk consisting on three single phse Type A regultors in rise position will be stted in n extended wy. However, the procedure to extend the formultion to ny other connection will be lso explined, nd the results consider ll possible connections nd types. In the literture, there exist stndrd systems for testing, compring nd vlidte power trnsformers models, like for instnce the IEEE 4-node test feeder, but the uthors did not found ny stndrdised system for testing nd vlidte SVRs models. Thts why the uthors decided to modify the IEEE 4-node test system, embedding into it the SVR models implemented with the well known exct model equtions. Index Terms 4-node test feeder, SVR modelling, conventionl power flow results, voltge regultion.. I. INTRODUCTION MODELING of SVRs possess prticulr importnce in power flow studies of unblnced distribution networks. The IEEE test feeders of reference [] were developed, minly, to provide set of common dt to be used in testing nd vlidtion of distribution nlysis softwre. There the 4- node test feeder ws developed primrily for the purpose of testing trnsformer models []. There is no such SVR model test system vilble in literture. Hence, in this pper, the IEEE 4-node test feeder [] will be modified for SVR model test system. Kersting s voltge regultor modelings [], [4] re the mjor works in mtrix-eqution bsed SVR modeling. Those works covered the distribution system SVR modeling in bc reference frme, SVR control mechnism by clculting the compenstor R nd X settings nd other pplictions of SVRs in distribution systems. Though he did not present ll of the configurtion but he lid proper bseline for ech of them. For this pper, similr mtrix eqution bsed models were developed nd vlidted for twenty possible SVR configurtions in grounded-wye, closed-delt nd three possible open-delt connection with Type A nd Type B regultors t both rise nd lower position. These models were incorported in the complex vector bsed model of unblnced distribution system in sttionry reference frme [5] to solve for conventionl power flow results. Finlly, the benchmrk conventionl power flow result will be presented for ll these SVR configurtions, serving n unblnced lod, for both t rise nd lowering t fixed tp The uthors re with the Deprtment of Electricl Engineering, University of Oviedo, Gijón, Spin (e-mil: m.r.r.mojumdr@gmil.com; rboleypblo@uniovi.es; gonzlezmorcristin@uniovi.es). This work ws prtilly supported by the Spnish Ministry of Science nd Innovtion under Grnt ENE-4445-R (MICROHOLO Development of Holistic nd Systemticl Approch to AC Microgrids Design nd Mngement) /5/$. 5 IEEE position of 8 with Type B configurtions nd t different tp positions with Type A configurtions, in the proposed SVR model test system. II. THE REGULATOR MODEL Bsics of SVRs modeling, equtions for single-phse Type A or Type B regultors nd possible SVR configurtions hve been described in [4]. Summrizing in the Tble I, the reltionships between the source voltge nd current to the lod voltge nd current, for both the Type A nd Type B regultors whether in rise or lower: TABLE I GENERALIZED EQUATIONS FOR SINGLE-PHASE REGULATORS [4] Type Voltge Eq Current Eq R for Rise R for Lower A V S = R V L I S = RI L R =+ N N R = B V S = RV L I S = R I L R = N N N N R =+ N N No mtter how the regultors re connected, the reltionships between the series nd shunt winding voltges nd currents for ech single-phse SVR must be stisfied. Here, N nd N re the primry nd secondry turn number of the single-phse regultors nd the vlue of effective regultor rtio is denoted s R. For n overview of configurtions, closed-delt connected Type A regultor in rise, wye connected Type B regultor in lowering nd open-delt connected (cse. ) Type B regultor in rise hs been presented in Fig., Fig. nd Fig. respectively. However, for the bsic modeling ide, the model will be presented below, only for closed-delt connected SVR with Type A regultors in rise. As shown in Fig., three single-phse Type A regultors in rise cn be connected in closed delt, to be used in three-wire delt feeders. Fig.. Closed delt-connected type A regultors in rise

2 IEEE PES GENERAL MEETING, JULY 5 Fig.. Open-delt connected (cse. ) Type B regultors in rise Fig.. Wye connected Type B regultors in lowering A. Voltge Equtions KVL cn be pplied round closed loop to obtin equtions for the line-to-line voltges. For exmple, for the lineto-line voltges between phses A nd B on the source side refer to the Fig. : VA B = VA + VB () But, winding voltges cn be relted in terms of turns rtios: N N.N V A = VcA = Vc N N.(N + N ) = VB = N N + N N Rc Vc Rc Vc = N Vb = Vb = Vb N + N + N Rb N Rc Vb + Vc Rb Rc VAB 4VBC VCA () (4) To determine the reltionships between the other line-toline voltges, the sme procedure cn be followed nd the three-phse voltge eqution relting source side nd lod side without considertion of drop in winding impednces for this regultor configurtion will be: Rc V A B Vb Rb Rc 4VB C 5 = 4 Rb 5 4 Vbc 5 (5) Rb Rbc Rbc V C A V c Rbc Now, in the next eqution, per phse voltge drops in the regultor impednces re relted to the phse-to-phse voltges in the primry side of the regultor [5]: () Substituting Equtions () nd () in () nd simplify: V A B = And, let s introduce the TDY mtrix [5] which is mtrix to obtin phse-phse quntities from phse-neutrl quntities. But it is singulr mtrix. This implies tht phse-to-neutrl quntities cn not be obtined from phse-to-phse voltges. This TDY mtrix s shown in Eqution (8) will be used repetedly for other configurtions lso. A TDY (8) Rc However, the regultor winding impednces cn be considered s equl in ech phse so tht, in mtrix form, they cn be denoted s: ZA Zreg ZB A = A (6) ZC Now, using Eqution (6), the voltge drops in the regultor impednces cn be expressed s: VAA 4VBB 5 = Zreg 4IB 5 (7) VCC IC V A B VAA VB C 5 = 4VBB V C A VCC VBB VAA VCC 5 = TDY 4VBB 5 (9) VAA VCC Combining (5), (7) nd (9) the reltionship between primry voltges, secondry voltges nd primry line currents cn be written s: VAB Rb 4VBC 5 = TDY Zreg 4IB Rb Rb VCA IC Rbc Rbc Rbc Rc Vb Rc 5 4 Vbc 5 Vc Rc () B. Current Equtions Applying KCL t the lod side terminl : I = I A + I B () But s: I A = I A c + I A = N N + = ( + ) () N N So tht: I A = I = N A Rc + N () Agin s: IB = IB + IB b = N N IB + IB = ( + )IB (4) N N

3 IEEE PES GENERAL MEETING, JULY 5 Agin so: I B = N ( + N N ) I N B = I B = Rb I B (5) + N N Rb Substituting Equtions () nd (5) into Eqution (): I = Rc I A + Rb Rb I B (6) Following sme procedure t the other two lod side terminls, for this configurtion, three-phse eqution between source nd lod line currents cn be obtined s: I 4I b 5 = 4 I c C. Generlized Equtions Rb Rc Rb Rbc Rb Rbc Rc Rc Rbc 5 4 I A I B I C 5 (7) We cn denote, A R-KVL 4 nd A R-KCL 4 mtrices for closed delt connection with Type A regultors both in rise position nd lower position s: A R-KVL 4 = 4 A R-KCL 4 = 4 Rb Rb Rb Rb Rc Rc Rc Rbc Rbc Rbc Rc Rb Rbc Rb Rbc Rc Rc Rbc 5 (8) 5 (9) In the similr structure, ll other SVR configurtions were modeled. Therefore, denoting A R-KVL mtrices for voltge equtions nd A R-KCL mtrices for current equtions of ech connections nd expressing three-phse voltge nd brnch current in short form, we cn express Equtions like () nd (7) in very compct form. Finlly, by observing ll the models, there ws only one structure of the generl current eqution for ll the configurtions which is: S IBr = A P bc R-KCL IBr () bc But there re two structures of the generl voltge eqution. For ll the wye configurtions: P Vph n bc = Z P reg IBr bc + A S R-KVL Vph n bc () For ll closed nd open delt configurtions: P ph bc = T P DY Z reg IBr bc + A S R-KVL Vph ph bc () Vph D. Incorportion nd Simultion Generlized voltge nd current equtions developed in the regultor models were incorported s liner equtions in the complex vector bsed model of unblnced distribution system in sttionry reference frme [5]. Then, other non-liner equtions were lso included in the the power flow problem. Finlly, ech power flow problem with different SVR configurtions, ws simulted using FSOLVE function of MATLAB to solve ll liner or non-liner equtions to provide the benchmrk conventionl power flow results. III. THE TEST SYSTEM The system to be used in testing SVR models is proposed nd shown in Fig. 4. A. Line Configurtion We propose, the line segment on the source side nd the line segment on the lod side of the regultor bnk will hve the configurtion 6 of proposed IEEE -node test feeder t []. Like other line configurtions in tht -node test feeder (Configurtions 6-67) with single or multiple lterls, configurtion 6 is provided in the form derived fter following modified Crson s eqution [4] nd corresponding Kron reduction [4]. Finlly, ( ) phse frme mtrice of configurtion 6 will be used. And the phse impednce of configurtion 6, Z bc in /mile is: j j j.86 Z bc = j j j j j j.66 () B. Regultor Impednce And the regultor winding impednce, Z reg in, used for the results is: j.4 + j +j Z reg = 4 +j j j + j j.4 (4) It s importnt to note tht, for the regultor with three possible open delt connections, corresponding phsing impednce were tken out from the Z reg mentioned here. Specificlly, Z B for cse, Z C for cse b nd Z A for cse c will be zero () in the Z reg of three cses of open delt configurtions. C. Unblnced Lods nd Genertions For the benchmrk power flow results presented in the following section, the unblnced lod profile used t node 4 of Fig. 4 ws: TABLE VI UNBALANCED LOAD DATA FOR TEST RESULTS Phse- Phse- Phse- kw kvr p.f kw kvr p.f kw kvr p.f Fig node test feeder with regultor.

4 IEEE PES GENERAL MEETING, JULY 5 4 TABLE II TYPE B IN RAISE REGULATORS (TAPS AT 8) Connection Gnd-Y Cld-Delt Op-Delt- Op-Delt-b Op-Delt-c Tps [8 8 8] [8 8 8] [8 8 ] [ 88] [8 8] Voltge Node V V V Voltge Node V V V Voltge Node V V V Current I I I b I c Current I I I b I c TABLE III TYPE B IN LOWER REGULATORS (TAPS AT 8) Connection Gnd-Y Cld-Delt Op-Delt- Op-Delt-b Op-Delt-c Tps [8 8 8] [8 8 8] [8 8 ] [ 88] [8 8] Voltge Node V V V Voltge Node V V V Voltge Node V V V Current I I I b I c Current I I I b I c IV. VALIDATION OF THE PORPOSED FORMULATION At [4], Kersting developed regultor models for number of configurtions t bc reference frme. In this pper the uthor proposed nd lterntive formultion bsed in reference frme. The two formultions represent exct equivlent models, so the uthors used the originl formultion to vlidte the proposed one. Once the results using the bsed formultion were obtined, they were trnsformed to bc reference nd compred with those obtined directly from the originl formultion. In ll cses, the solutions were exctly the sme s it ws expected. V. BENCHMARK POWER FLOW RESULTS FOR SVRS In tbles II nd III, the obtined results for type B regultors in rise nd lower positions re shown. In both cses, the tp position is set to 8 nd the considered configurtions were Grounded-Wye, Closed-Delt nd Open-Delt considering the three different possibilities - connection with regultors between phses AB nd CB, between BC nd AC nd finlly between CA nd BA which re denoted s cse, cse b nd cse c connection respectively. In tbles IV nd V, the results re represented for ll type A regultor connections, however, in different tp positions t different single-phse regultors. It s worth mentioning tht, for three wire delt configurtions, the voltges in results provided here re phse-phse

5 IEEE PES GENERAL MEETING, JULY 5 5 TABLE IV CASE C TEST RESULTS: TYPE A IN RAISE REGULATORS (TAPS AT DIFFERENT POSITIONS) Connection Gnd-Y Cld-Delt Op-Delt- Op-Delt-b Op-Delt-c Optimum Tps [9 4 8] [6 7] [ 4 ] [ 76] [7 9] Voltge Node V V V Voltge Node V V V Voltge Node V V V Current I I I b I c Current I I I b I c TABLE V CASE C TEST RESULTS: TYPE A IN LOWER REGULATORS (TAPS AT DIFFERENT POSITIONS) Connection Gnd-Y Cld-Delt Op-Delt- Op-Delt-b Op-Delt-c Optimum Tps [ 6 ] [ 7 ] [ 7 ] [ ] [ 5] Voltge Node V V V Voltge Node V V V Voltge Node V V V Current I I I b I c Current I I I b I c nd for four wire wye configurtions, they re phse-neutrl. VI. CONCLUSIONS The IEEE 4-node test feeder hs been modified nd dpted to test Step-Voltge Regultors (SVR). As n exmple, the extended formultion ws presented for closed-delt connected SVR with Type A regultors in rise. Due to the lck of spce the formultion ws not extended for other types of SVR. However, the guidelines for obtining other types of SVR with different connections were lso presented. In the benchmrk section the results for different SVR types with different connections were presented. In further works, the proposed formultion will be used for nlyse lrge low voltge distribution networks. REFERENCES [] Distribution Test Feeders: IEEE PES Distribution System Anlysis Subcommittee s. Distribution Test Feeder Working Group Std. [] W. H. Kersting, Trnsformer model test system, in Trnsmission nd Distribution Conference nd Exposition, IEEE PES, vol.. IEEE,, pp. 6. [] W. Kersting, The modeling nd ppliction of step voltge regultors, in Power Systems Conference nd Exposition, 9. PSCE 9. IEEE/PES. IEEE, 9, pp. 8. [4] W. H. Kersting, Distribution system modeling nd nlysis. CRC press,. [5] P. Arboley, C. Gonzlez-Morn, nd M. Coto, Unblnced power flow in distribution systems with embedded trnsformers using the complex theory in sttionry reference frme, Power Systems, IEEE Trnsctions on, vol. 9, no., pp., My 4.

Revisiting the notion of Origin-Destination Traffic Matrix of the Hosts that are attached to a Switched Local Area Network

Revisiting the notion of Origin-Destination Traffic Matrix of the Hosts that are attached to a Switched Local Area Network Interntionl Journl of Distributed nd Prllel Systems (IJDPS) Vol., No.6, November 0 Revisiting the notion of Origin-Destintion Trffic Mtrix of the Hosts tht re ttched to Switched Locl Are Network Mondy

More information

About the Finite Element Analysis for Beam-Hinged Frame. Duan Jin1,a, Li Yun-gui1

About the Finite Element Analysis for Beam-Hinged Frame. Duan Jin1,a, Li Yun-gui1 Advnces in Engineering Reserch (AER), volume 143 6th Interntionl Conference on Energy nd Environmentl Protection (ICEEP 2017) About the Finite Element Anlysis for Bem-Hinged Frme Dun Jin1,, Li Yun-gui1

More information

Tool Vendor Perspectives SysML Thus Far

Tool Vendor Perspectives SysML Thus Far Frontiers 2008 Pnel Georgi Tec, 05-13-08 Tool Vendor Perspectives SysML Thus Fr Hns-Peter Hoffmnn, Ph.D Chief Systems Methodologist Telelogic, Systems & Softwre Modeling Business Unit Peter.Hoffmnn@telelogic.com

More information

MATH 25 CLASS 5 NOTES, SEP

MATH 25 CLASS 5 NOTES, SEP MATH 25 CLASS 5 NOTES, SEP 30 2011 Contents 1. A brief diversion: reltively prime numbers 1 2. Lest common multiples 3 3. Finding ll solutions to x + by = c 4 Quick links to definitions/theorems Euclid

More information

Tree Structured Symmetrical Systems of Linear Equations and their Graphical Solution

Tree Structured Symmetrical Systems of Linear Equations and their Graphical Solution Proceedings of the World Congress on Engineering nd Computer Science 4 Vol I WCECS 4, -4 October, 4, Sn Frncisco, USA Tree Structured Symmetricl Systems of Liner Equtions nd their Grphicl Solution Jime

More information

1. SEQUENCES INVOLVING EXPONENTIAL GROWTH (GEOMETRIC SEQUENCES)

1. SEQUENCES INVOLVING EXPONENTIAL GROWTH (GEOMETRIC SEQUENCES) Numbers nd Opertions, Algebr, nd Functions 45. SEQUENCES INVOLVING EXPONENTIAL GROWTH (GEOMETRIC SEQUENCES) In sequence of terms involving eponentil growth, which the testing service lso clls geometric

More information

Complete Coverage Path Planning of Mobile Robot Based on Dynamic Programming Algorithm Peng Zhou, Zhong-min Wang, Zhen-nan Li, Yang Li

Complete Coverage Path Planning of Mobile Robot Based on Dynamic Programming Algorithm Peng Zhou, Zhong-min Wang, Zhen-nan Li, Yang Li 2nd Interntionl Conference on Electronic & Mechnicl Engineering nd Informtion Technology (EMEIT-212) Complete Coverge Pth Plnning of Mobile Robot Bsed on Dynmic Progrmming Algorithm Peng Zhou, Zhong-min

More information

LU Decomposition. Mechanical Engineering Majors. Authors: Autar Kaw

LU Decomposition. Mechanical Engineering Majors. Authors: Autar Kaw LU Decomposition Mechnicl Engineering Mjors Authors: Autr Kw Trnsforming Numericl Methods Eduction for STEM Undergrdutes // LU Decomposition LU Decomposition LU Decomposition is nother method to solve

More information

Pointwise convergence need not behave well with respect to standard properties such as continuity.

Pointwise convergence need not behave well with respect to standard properties such as continuity. Chpter 3 Uniform Convergence Lecture 9 Sequences of functions re of gret importnce in mny res of pure nd pplied mthemtics, nd their properties cn often be studied in the context of metric spces, s in Exmples

More information

Unit #9 : Definite Integral Properties, Fundamental Theorem of Calculus

Unit #9 : Definite Integral Properties, Fundamental Theorem of Calculus Unit #9 : Definite Integrl Properties, Fundmentl Theorem of Clculus Gols: Identify properties of definite integrls Define odd nd even functions, nd reltionship to integrl vlues Introduce the Fundmentl

More information

An Efficient Divide and Conquer Algorithm for Exact Hazard Free Logic Minimization

An Efficient Divide and Conquer Algorithm for Exact Hazard Free Logic Minimization An Efficient Divide nd Conquer Algorithm for Exct Hzrd Free Logic Minimiztion J.W.J.M. Rutten, M.R.C.M. Berkelr, C.A.J. vn Eijk, M.A.J. Kolsteren Eindhoven University of Technology Informtion nd Communiction

More information

Fig.1. Let a source of monochromatic light be incident on a slit of finite width a, as shown in Fig. 1.

Fig.1. Let a source of monochromatic light be incident on a slit of finite width a, as shown in Fig. 1. Answer on Question #5692, Physics, Optics Stte slient fetures of single slit Frunhofer diffrction pttern. The slit is verticl nd illuminted by point source. Also, obtin n expression for intensity distribution

More information

If f(x, y) is a surface that lies above r(t), we can think about the area between the surface and the curve.

If f(x, y) is a surface that lies above r(t), we can think about the area between the surface and the curve. Line Integrls The ide of line integrl is very similr to tht of single integrls. If the function f(x) is bove the x-xis on the intervl [, b], then the integrl of f(x) over [, b] is the re under f over the

More information

AVolumePreservingMapfromCubetoOctahedron

AVolumePreservingMapfromCubetoOctahedron Globl Journl of Science Frontier Reserch: F Mthemtics nd Decision Sciences Volume 18 Issue 1 Version 1.0 er 018 Type: Double Blind Peer Reviewed Interntionl Reserch Journl Publisher: Globl Journls Online

More information

Chapter 2 Sensitivity Analysis: Differential Calculus of Models

Chapter 2 Sensitivity Analysis: Differential Calculus of Models Chpter 2 Sensitivity Anlysis: Differentil Clculus of Models Abstrct Models in remote sensing nd in science nd engineering, in generl re, essentilly, functions of discrete model input prmeters, nd/or functionls

More information

Stained Glass Design. Teaching Goals:

Stained Glass Design. Teaching Goals: Stined Glss Design Time required 45-90 minutes Teching Gols: 1. Students pply grphic methods to design vrious shpes on the plne.. Students pply geometric trnsformtions of grphs of functions in order to

More information

Before We Begin. Introduction to Spatial Domain Filtering. Introduction to Digital Image Processing. Overview (1): Administrative Details (1):

Before We Begin. Introduction to Spatial Domain Filtering. Introduction to Digital Image Processing. Overview (1): Administrative Details (1): Overview (): Before We Begin Administrtive detils Review some questions to consider Winter 2006 Imge Enhncement in the Sptil Domin: Bsics of Sptil Filtering, Smoothing Sptil Filters, Order Sttistics Filters

More information

MA1008. Calculus and Linear Algebra for Engineers. Course Notes for Section B. Stephen Wills. Department of Mathematics. University College Cork

MA1008. Calculus and Linear Algebra for Engineers. Course Notes for Section B. Stephen Wills. Department of Mathematics. University College Cork MA1008 Clculus nd Liner Algebr for Engineers Course Notes for Section B Stephen Wills Deprtment of Mthemtics University College Cork s.wills@ucc.ie http://euclid.ucc.ie/pges/stff/wills/teching/m1008/ma1008.html

More information

Dynamic Programming. Andreas Klappenecker. [partially based on slides by Prof. Welch] Monday, September 24, 2012

Dynamic Programming. Andreas Klappenecker. [partially based on slides by Prof. Welch] Monday, September 24, 2012 Dynmic Progrmming Andres Klppenecker [prtilly bsed on slides by Prof. Welch] 1 Dynmic Progrmming Optiml substructure An optiml solution to the problem contins within it optiml solutions to subproblems.

More information

P(r)dr = probability of generating a random number in the interval dr near r. For this probability idea to make sense we must have

P(r)dr = probability of generating a random number in the interval dr near r. For this probability idea to make sense we must have Rndom Numers nd Monte Crlo Methods Rndom Numer Methods The integrtion methods discussed so fr ll re sed upon mking polynomil pproximtions to the integrnd. Another clss of numericl methods relies upon using

More information

3.5.1 Single slit diffraction

3.5.1 Single slit diffraction 3.5.1 Single slit diffrction Wves pssing through single slit will lso diffrct nd produce n interference pttern. The reson for this is to do with the finite width of the slit. We will consider this lter.

More information

International Journal of Scientific & Engineering Research, Volume 4, Issue 12, December ISSN

International Journal of Scientific & Engineering Research, Volume 4, Issue 12, December ISSN Interntionl Journl of Scientific & Engineering Reserch, Volume 4, Issue 1, December-1 ISSN 9-18 Generlised Gussin Qudrture over Sphere K. T. Shivrm Abstrct This pper presents Generlised Gussin qudrture

More information

TASK SPECIFIC DESCRIPTION

TASK SPECIFIC DESCRIPTION MYP Algebr II/Trig Unit 2 Ch. 4 Trnsformtions Project Nme: Block: - Due Dte: Tuesdy, 11/7 (B-dy) & Wednesdy, 11/8 (A-dy) Mterils: Grph pper, ruler, protrctor, compss, highlight mrkers/colored pencils SCORE:

More information

On the Detection of Step Edges in Algorithms Based on Gradient Vector Analysis

On the Detection of Step Edges in Algorithms Based on Gradient Vector Analysis On the Detection of Step Edges in Algorithms Bsed on Grdient Vector Anlysis A. Lrr6, E. Montseny Computer Engineering Dept. Universitt Rovir i Virgili Crreter de Slou sin 43006 Trrgon, Spin Emil: lrre@etse.urv.es

More information

A Heuristic Approach for Discovering Reference Models by Mining Process Model Variants

A Heuristic Approach for Discovering Reference Models by Mining Process Model Variants A Heuristic Approch for Discovering Reference Models by Mining Process Model Vrints Chen Li 1, Mnfred Reichert 2, nd Andres Wombcher 3 1 Informtion System Group, University of Twente, The Netherlnds lic@cs.utwente.nl

More information

USING HOUGH TRANSFORM IN LINE EXTRACTION

USING HOUGH TRANSFORM IN LINE EXTRACTION Stylinidis, Efstrtios USING HOUGH TRANSFORM IN LINE EXTRACTION Efstrtios STYLIANIDIS, Petros PATIAS The Aristotle University of Thessloniki, Deprtment of Cdstre Photogrmmetry nd Crtogrphy Univ. Box 473,

More information

3.5.1 Single slit diffraction

3.5.1 Single slit diffraction 3..1 Single slit diffrction ves pssing through single slit will lso diffrct nd produce n interference pttern. The reson for this is to do with the finite width of the slit. e will consider this lter. Tke

More information

II. THE ALGORITHM. A. Depth Map Processing

II. THE ALGORITHM. A. Depth Map Processing Lerning Plnr Geometric Scene Context Using Stereo Vision Pul G. Bumstrck, Bryn D. Brudevold, nd Pul D. Reynolds {pbumstrck,brynb,pulr2}@stnford.edu CS229 Finl Project Report December 15, 2006 Abstrct A

More information

x )Scales are the reciprocal of each other. e

x )Scales are the reciprocal of each other. e 9. Reciprocls A Complete Slide Rule Mnul - eville W Young Chpter 9 Further Applictions of the LL scles The LL (e x ) scles nd the corresponding LL 0 (e -x or Exmple : 0.244 4.. Set the hir line over 4.

More information

A Fast Imaging Algorithm for Near Field SAR

A Fast Imaging Algorithm for Near Field SAR Journl of Computing nd Electronic Informtion Mngement ISSN: 2413-1660 A Fst Imging Algorithm for Ner Field SAR Guoping Chen, Lin Zhng, * College of Optoelectronic Engineering, Chongqing University of Posts

More information

arxiv: v2 [math.ho] 4 Jun 2012

arxiv: v2 [math.ho] 4 Jun 2012 Volumes of olids of Revolution. Unified pproch Jorge Mrtín-Morles nd ntonio M. Oller-Mrcén jorge@unizr.es, oller@unizr.es rxiv:5.v [mth.ho] Jun Centro Universitrio de l Defens - IUM. cdemi Generl Militr,

More information

Installation Instructions for the TBVL Valve Set GOLD/COMPACT

Installation Instructions for the TBVL Valve Set GOLD/COMPACT Instlltion Instructions for the TBVL Vlve Set GOLD/COMPACT. Generl The TBVL vlve set is set of components for controlling n ir heter/ir cooler nd consists of ()-wy vlve, vlve ctutor, connection cble with

More information

Available at ISSN: Vol. 4, Issue 2 (December 2009) pp (Previously Vol. 4, No.

Available at   ISSN: Vol. 4, Issue 2 (December 2009) pp (Previously Vol. 4, No. Avilble t http://pvmu.edu.edu/pges/398.sp ISSN: 93-9466 Vol. 4, Issue December 009 pp. 434 444 Previously Vol. 4, No. Applictions nd Applied Mthemtics: An Interntionl Journl AAM On -ry Subdivision for

More information

A New Learning Algorithm for the MAXQ Hierarchical Reinforcement Learning Method

A New Learning Algorithm for the MAXQ Hierarchical Reinforcement Learning Method A New Lerning Algorithm for the MAXQ Hierrchicl Reinforcement Lerning Method Frzneh Mirzzdeh 1, Bbk Behsz 2, nd Hmid Beigy 1 1 Deprtment of Computer Engineering, Shrif University of Technology, Tehrn,

More information

The Distributed Data Access Schemes in Lambda Grid Networks

The Distributed Data Access Schemes in Lambda Grid Networks The Distributed Dt Access Schemes in Lmbd Grid Networks Ryot Usui, Hiroyuki Miygi, Yutk Arkw, Storu Okmoto, nd Noki Ymnk Grdute School of Science for Open nd Environmentl Systems, Keio University, Jpn

More information

Expected Worst-case Performance of Hash Files

Expected Worst-case Performance of Hash Files Expected Worst-cse Performnce of Hsh Files Per-Ake Lrson Deprtment of Informtion Processing, Abo Akdemi, Fnriksgtn, SF-00 ABO 0, Finlnd The following problem is studied: consider hshfilend the longest

More information

Ray surface intersections

Ray surface intersections Ry surfce intersections Some primitives Finite primitives: polygons spheres, cylinders, cones prts of generl qudrics Infinite primitives: plnes infinite cylinders nd cones generl qudrics A finite primitive

More information

A TRIANGULAR FINITE ELEMENT FOR PLANE ELASTICITY WITH IN- PLANE ROTATION Dr. Attia Mousa 1 and Eng. Salah M. Tayeh 2

A TRIANGULAR FINITE ELEMENT FOR PLANE ELASTICITY WITH IN- PLANE ROTATION Dr. Attia Mousa 1 and Eng. Salah M. Tayeh 2 A TRIANGLAR FINITE ELEMENT FOR PLANE ELASTICITY WITH IN- PLANE ROTATION Dr. Atti Mous nd Eng. Slh M. Teh ABSTRACT In the present pper the strin-bsed pproch is pplied to develop new tringulr finite element

More information

Math 464 Fall 2012 Notes on Marginal and Conditional Densities October 18, 2012

Math 464 Fall 2012 Notes on Marginal and Conditional Densities October 18, 2012 Mth 464 Fll 2012 Notes on Mrginl nd Conditionl Densities klin@mth.rizon.edu October 18, 2012 Mrginl densities. Suppose you hve 3 continuous rndom vribles X, Y, nd Z, with joint density f(x,y,z. The mrginl

More information

A Tautology Checker loosely related to Stålmarck s Algorithm by Martin Richards

A Tautology Checker loosely related to Stålmarck s Algorithm by Martin Richards A Tutology Checker loosely relted to Stålmrck s Algorithm y Mrtin Richrds mr@cl.cm.c.uk http://www.cl.cm.c.uk/users/mr/ University Computer Lortory New Museum Site Pemroke Street Cmridge, CB2 3QG Mrtin

More information

International Conference on Mechanics, Materials and Structural Engineering (ICMMSE 2016)

International Conference on Mechanics, Materials and Structural Engineering (ICMMSE 2016) \ Interntionl Conference on Mechnics, Mterils nd tructurl Engineering (ICMME 2016) Reserch on the Method to Clibrte tructure Prmeters of Line tructured Light Vision ensor Mingng Niu1,, Kngnin Zho1, b,

More information

ZZ - Advanced Math Review 2017

ZZ - Advanced Math Review 2017 ZZ - Advnced Mth Review Mtrix Multipliction Given! nd! find the sum of the elements of the product BA First, rewrite the mtrices in the correct order to multiply The product is BA hs order x since B is

More information

Explicit Decoupled Group Iterative Method for the Triangle Element Solution of 2D Helmholtz Equations

Explicit Decoupled Group Iterative Method for the Triangle Element Solution of 2D Helmholtz Equations Interntionl Mthemticl Forum, Vol. 12, 2017, no. 16, 771-779 HIKARI Ltd, www.m-hikri.com https://doi.org/10.12988/imf.2017.7654 Explicit Decoupled Group Itertive Method for the Tringle Element Solution

More information

CS 130 : Computer Systems - II. Shankar Balachandran Dept. of Computer Science & Engineering IIT Madras

CS 130 : Computer Systems - II. Shankar Balachandran Dept. of Computer Science & Engineering IIT Madras CS 3 : Computer Systems - II Shnkr Blchndrn (shnkr@cse.iitm.c.in) Dept. of Computer Science & Engineering IIT Mdrs Recp Differentite Between s nd s Truth Tbles b AND b OR NOT September 4, 27 Introduction

More information

UT1553B BCRT True Dual-port Memory Interface

UT1553B BCRT True Dual-port Memory Interface UTMC APPICATION NOTE UT553B BCRT True Dul-port Memory Interfce INTRODUCTION The UTMC UT553B BCRT is monolithic CMOS integrted circuit tht provides comprehensive MI-STD- 553B Bus Controller nd Remote Terminl

More information

Class-XI Mathematics Conic Sections Chapter-11 Chapter Notes Key Concepts

Class-XI Mathematics Conic Sections Chapter-11 Chapter Notes Key Concepts Clss-XI Mthemtics Conic Sections Chpter-11 Chpter Notes Key Concepts 1. Let be fixed verticl line nd m be nother line intersecting it t fixed point V nd inclined to it t nd ngle On rotting the line m round

More information

A Comparison of the Discretization Approach for CST and Discretization Approach for VDM

A Comparison of the Discretization Approach for CST and Discretization Approach for VDM Interntionl Journl of Innovtive Reserch in Advnced Engineering (IJIRAE) Volume1 Issue1 (Mrch 2014) A Comprison of the Discretiztion Approch for CST nd Discretiztion Approch for VDM Omr A. A. Shib Fculty

More information

this grammar generates the following language: Because this symbol will also be used in a later step, it receives the

this grammar generates the following language: Because this symbol will also be used in a later step, it receives the LR() nlysis Drwcks of LR(). Look-hed symols s eplined efore, concerning LR(), it is possile to consult the net set to determine, in the reduction sttes, for which symols it would e possile to perform reductions.

More information

10.5 Graphing Quadratic Functions

10.5 Graphing Quadratic Functions 0.5 Grphing Qudrtic Functions Now tht we cn solve qudrtic equtions, we wnt to lern how to grph the function ssocited with the qudrtic eqution. We cll this the qudrtic function. Grphs of Qudrtic Functions

More information

Integration. October 25, 2016

Integration. October 25, 2016 Integrtion October 5, 6 Introduction We hve lerned in previous chpter on how to do the differentition. It is conventionl in mthemtics tht we re supposed to lern bout the integrtion s well. As you my hve

More information

SOME EXAMPLES OF SUBDIVISION OF SMALL CATEGORIES

SOME EXAMPLES OF SUBDIVISION OF SMALL CATEGORIES SOME EXAMPLES OF SUBDIVISION OF SMALL CATEGORIES MARCELLO DELGADO Abstrct. The purpose of this pper is to build up the bsic conceptul frmework nd underlying motivtions tht will llow us to understnd ctegoricl

More information

Vulnerability Analysis of Electric Power Communication Network. Yucong Wu

Vulnerability Analysis of Electric Power Communication Network. Yucong Wu 2nd Interntionl Conference on Advnces in Mechnicl Engineering nd Industril Informtics (AMEII 2016 Vulnerbility Anlysis of Electric Power Communiction Network Yucong Wu Deprtment of Telecommunictions Engineering,

More information

Computer-Aided Multiscale Modelling for Chemical Process Engineering

Computer-Aided Multiscale Modelling for Chemical Process Engineering 17 th Europen Symposium on Computer Aided Process Engineesing ESCAPE17 V. Plesu nd P.S. Agchi (Editors) 2007 Elsevier B.V. All rights reserved. 1 Computer-Aided Multiscle Modelling for Chemicl Process

More information

4452 Mathematical Modeling Lecture 4: Lagrange Multipliers

4452 Mathematical Modeling Lecture 4: Lagrange Multipliers Mth Modeling Lecture 4: Lgrnge Multipliers Pge 4452 Mthemticl Modeling Lecture 4: Lgrnge Multipliers Lgrnge multipliers re high powered mthemticl technique to find the mximum nd minimum of multidimensionl

More information

Engineer To Engineer Note

Engineer To Engineer Note Engineer To Engineer Note EE-169 Technicl Notes on using Anlog Devices' DSP components nd development tools Contct our technicl support by phone: (800) ANALOG-D or e-mil: dsp.support@nlog.com Or visit

More information

Spectral Analysis of MCDF Operations in Image Processing

Spectral Analysis of MCDF Operations in Image Processing Spectrl Anlysis of MCDF Opertions in Imge Processing ZHIQIANG MA 1,2 WANWU GUO 3 1 School of Computer Science, Northest Norml University Chngchun, Jilin, Chin 2 Deprtment of Computer Science, JilinUniversity

More information

Chapter Spline Method of Interpolation More Examples Electrical Engineering

Chapter Spline Method of Interpolation More Examples Electrical Engineering Chpter. Spline Method of Interpoltion More Exmples Electricl Engineering Exmple Thermistors re used to mesure the temperture of bodies. Thermistors re bsed on mterils chnge in resistnce with temperture.

More information

A Transportation Problem Analysed by a New Ranking Method

A Transportation Problem Analysed by a New Ranking Method (IJIRSE) Interntionl Journl of Innovtive Reserch in Science & Engineering ISSN (Online) 7-07 A Trnsporttion Problem Anlysed by New Rnking Method Dr. A. Shy Sudh P. Chinthiy Associte Professor PG Scholr

More information

HW Stereotactic Targeting

HW Stereotactic Targeting HW Stereotctic Trgeting We re bout to perform stereotctic rdiosurgery with the Gmm Knife under CT guidnce. We instrument the ptient with bse ring nd for CT scnning we ttch fiducil cge (FC). Above: bse

More information

Introduction to Integration

Introduction to Integration Introduction to Integrtion Definite integrls of piecewise constnt functions A constnt function is function of the form Integrtion is two things t the sme time: A form of summtion. The opposite of differentition.

More information

CHAPTER III IMAGE DEWARPING (CALIBRATION) PROCEDURE

CHAPTER III IMAGE DEWARPING (CALIBRATION) PROCEDURE CHAPTER III IMAGE DEWARPING (CALIBRATION) PROCEDURE 3.1 Scheimpflug Configurtion nd Perspective Distortion Scheimpflug criterion were found out to be the best lyout configurtion for Stereoscopic PIV, becuse

More information

9 4. CISC - Curriculum & Instruction Steering Committee. California County Superintendents Educational Services Association

9 4. CISC - Curriculum & Instruction Steering Committee. California County Superintendents Educational Services Association 9. CISC - Curriculum & Instruction Steering Committee The Winning EQUATION A HIGH QUALITY MATHEMATICS PROFESSIONAL DEVELOPMENT PROGRAM FOR TEACHERS IN GRADES THROUGH ALGEBRA II STRAND: NUMBER SENSE: Rtionl

More information

Preserving Constraints for Aggregation Relationship Type Update in XML Document

Preserving Constraints for Aggregation Relationship Type Update in XML Document Preserving Constrints for Aggregtion Reltionship Type Updte in XML Document Eric Prdede 1, J. Wenny Rhyu 1, nd Dvid Tnir 2 1 Deprtment of Computer Science nd Computer Engineering, L Trobe University, Bundoor

More information

Constrained Optimization. February 29

Constrained Optimization. February 29 Constrined Optimiztion Februry 9 Generl Problem min f( ) ( NLP) s.. t g ( ) i E i g ( ) i I i Modeling nd Constrints Adding constrints let s us model fr more richer set of problems. For our purpose we

More information

File Manager Quick Reference Guide. June Prepared for the Mayo Clinic Enterprise Kahua Deployment

File Manager Quick Reference Guide. June Prepared for the Mayo Clinic Enterprise Kahua Deployment File Mnger Quick Reference Guide June 2018 Prepred for the Myo Clinic Enterprise Khu Deployment NVIGTION IN FILE MNGER To nvigte in File Mnger, users will mke use of the left pne to nvigte nd further pnes

More information

a(e, x) = x. Diagrammatically, this is encoded as the following commutative diagrams / X

a(e, x) = x. Diagrammatically, this is encoded as the following commutative diagrams / X 4. Mon, Sept. 30 Lst time, we defined the quotient topology coming from continuous surjection q : X! Y. Recll tht q is quotient mp (nd Y hs the quotient topology) if V Y is open precisely when q (V ) X

More information

SUPPLEMENTARY INFORMATION

SUPPLEMENTARY INFORMATION Supplementry Figure y (m) x (m) prllel perpendiculr Distnce (m) Bird Stndrd devition for distnce (m) c 6 prllel perpendiculr 4 doi:.8/nture99 SUPPLEMENTARY FIGURE Confirmtion tht movement within the flock

More information

Computing offsets of freeform curves using quadratic trigonometric splines

Computing offsets of freeform curves using quadratic trigonometric splines Computing offsets of freeform curves using qudrtic trigonometric splines JIULONG GU, JAE-DEUK YUN, YOONG-HO JUNG*, TAE-GYEONG KIM,JEONG-WOON LEE, BONG-JUN KIM School of Mechnicl Engineering Pusn Ntionl

More information

Slides for Data Mining by I. H. Witten and E. Frank

Slides for Data Mining by I. H. Witten and E. Frank Slides for Dt Mining y I. H. Witten nd E. Frnk Simplicity first Simple lgorithms often work very well! There re mny kinds of simple structure, eg: One ttriute does ll the work All ttriutes contriute eqully

More information

IMAGE QUALITY OPTIMIZATION BASED ON WAVELET FILTER DESIGN AND WAVELET DECOMPOSITION IN JPEG2000. Do Quan and Yo-Sung Ho

IMAGE QUALITY OPTIMIZATION BASED ON WAVELET FILTER DESIGN AND WAVELET DECOMPOSITION IN JPEG2000. Do Quan and Yo-Sung Ho IMAGE QUALITY OPTIMIZATIO BASED O WAVELET FILTER DESIG AD WAVELET DECOMPOSITIO I JPEG2000 Do Qun nd Yo-Sung Ho School of Informtion & Mechtronics Gwngju Institute of Science nd Technology (GIST) 26 Cheomdn-gwgiro

More information

A Fixed Point Approach of Quadratic Functional Equations

A Fixed Point Approach of Quadratic Functional Equations Int. Journl of Mth. Anlysis, Vol. 7, 03, no. 30, 47-477 HIKARI Ltd, www.m-hikri.com http://dx.doi.org/0.988/ijm.03.86 A Fixed Point Approch of Qudrtic Functionl Equtions Mudh Almhlebi Deprtment of Mthemtics,

More information

Dr. D.M. Akbar Hussain

Dr. D.M. Akbar Hussain Dr. D.M. Akr Hussin Lexicl Anlysis. Bsic Ide: Red the source code nd generte tokens, it is similr wht humns will do to red in; just tking on the input nd reking it down in pieces. Ech token is sequence

More information

Text mining: bag of words representation and beyond it

Text mining: bag of words representation and beyond it Text mining: bg of words representtion nd beyond it Jsmink Dobš Fculty of Orgniztion nd Informtics University of Zgreb 1 Outline Definition of text mining Vector spce model or Bg of words representtion

More information

Section 10.4 Hyperbolas

Section 10.4 Hyperbolas 66 Section 10.4 Hyperbols Objective : Definition of hyperbol & hyperbols centered t (0, 0). The third type of conic we will study is the hyperbol. It is defined in the sme mnner tht we defined the prbol

More information

Series LJ1. Uniaxial Electric Actuator

Series LJ1. Uniaxial Electric Actuator CAT.E 90- Unixil Electric Actutor Controller Teching Box Unixil Electric Actutor Series LJ Series LJ Series LC Series LC for horizontl mounting nd brke for verticl mounting hve been dded to the high rigidity

More information

Section 3.1: Sequences and Series

Section 3.1: Sequences and Series Section.: Sequences d Series Sequences Let s strt out with the definition of sequence: sequence: ordered list of numbers, often with definite pttern Recll tht in set, order doesn t mtter so this is one

More information

Introduction. Chapter 4: Complex Integration. Introduction (Cont d)

Introduction. Chapter 4: Complex Integration. Introduction (Cont d) Introduction Chpter 4: Complex Integrtion Li, Yongzho Stte Key Lbortory of Integrted Services Networks, Xidin University October 10, 2010 The two-dimensionl nture of the complex plne required us to generlize

More information

A REINFORCEMENT LEARNING APPROACH TO SCHEDULING DUAL-ARMED CLUSTER TOOLS WITH TIME VARIATIONS

A REINFORCEMENT LEARNING APPROACH TO SCHEDULING DUAL-ARMED CLUSTER TOOLS WITH TIME VARIATIONS A REINFORCEMENT LEARNING APPROACH TO SCHEDULING DUAL-ARMED CLUSTER TOOLS WITH TIME VARIATIONS Ji-Eun Roh (), Te-Eog Lee (b) (),(b) Deprtment of Industril nd Systems Engineering, Kore Advnced Institute

More information

pdfapilot Server 2 Manual

pdfapilot Server 2 Manual pdfpilot Server 2 Mnul 2011 by clls softwre gmbh Schönhuser Allee 6/7 D 10119 Berlin Germny info@cllssoftwre.com www.cllssoftwre.com Mnul clls pdfpilot Server 2 Pge 2 clls pdfpilot Server 2 Mnul Lst modified:

More information

Exam #1 for Computer Simulation Spring 2005

Exam #1 for Computer Simulation Spring 2005 Exm # for Computer Simultion Spring 005 >>> SOLUTION

More information

50 AMC LECTURES Lecture 2 Analytic Geometry Distance and Lines. can be calculated by the following formula:

50 AMC LECTURES Lecture 2 Analytic Geometry Distance and Lines. can be calculated by the following formula: 5 AMC LECTURES Lecture Anlytic Geometry Distnce nd Lines BASIC KNOWLEDGE. Distnce formul The distnce (d) between two points P ( x, y) nd P ( x, y) cn be clculted by the following formul: d ( x y () x )

More information

CHAPTER 5 Spline Approximation of Functions and Data

CHAPTER 5 Spline Approximation of Functions and Data CHAPTER 5 Spline Approximtion of Functions nd Dt This chpter introduces number of methods for obtining spline pproximtions to given functions, or more precisely, to dt obtined by smpling function. In Section

More information

GENERATING ORTHOIMAGES FOR CLOSE-RANGE OBJECTS BY AUTOMATICALLY DETECTING BREAKLINES

GENERATING ORTHOIMAGES FOR CLOSE-RANGE OBJECTS BY AUTOMATICALLY DETECTING BREAKLINES GENEATING OTHOIMAGES FO CLOSE-ANGE OBJECTS BY AUTOMATICALLY DETECTING BEAKLINES Efstrtios Stylinidis 1, Lzros Sechidis 1, Petros Ptis 1, Spiros Sptls 2 Aristotle University of Thessloniki 1 Deprtment of

More information

Math 142, Exam 1 Information.

Math 142, Exam 1 Information. Mth 14, Exm 1 Informtion. 9/14/10, LC 41, 9:30-10:45. Exm 1 will be bsed on: Sections 7.1-7.5. The corresponding ssigned homework problems (see http://www.mth.sc.edu/ boyln/sccourses/14f10/14.html) At

More information

12-B FRACTIONS AND DECIMALS

12-B FRACTIONS AND DECIMALS -B Frctions nd Decimls. () If ll four integers were negtive, their product would be positive, nd so could not equl one of them. If ll four integers were positive, their product would be much greter thn

More information

Misrepresentation of Preferences

Misrepresentation of Preferences Misrepresenttion of Preferences Gicomo Bonnno Deprtment of Economics, University of Cliforni, Dvis, USA gfbonnno@ucdvis.edu Socil choice functions Arrow s theorem sys tht it is not possible to extrct from

More information

Geometric transformations

Geometric transformations Geometric trnsformtions Computer Grphics Some slides re bsed on Shy Shlom slides from TAU mn n n m m T A,,,,,, 2 1 2 22 12 1 21 11 Rows become columns nd columns become rows nm n n m m A,,,,,, 1 1 2 22

More information

Yoplait with Areas and Volumes

Yoplait with Areas and Volumes Yoplit with Ares nd Volumes Yoplit yogurt comes in two differently shped continers. One is truncted cone nd the other is n ellipticl cylinder (see photos below). In this exercise, you will determine the

More information

Functor (1A) Young Won Lim 8/2/17

Functor (1A) Young Won Lim 8/2/17 Copyright (c) 2016-2017 Young W. Lim. Permission is grnted to copy, distribute nd/or modify this document under the terms of the GNU Free Documenttion License, Version 1.2 or ny lter version published

More information

Transparent neutral-element elimination in MPI reduction operations

Transparent neutral-element elimination in MPI reduction operations Trnsprent neutrl-element elimintion in MPI reduction opertions Jesper Lrsson Träff Deprtment of Scientific Computing University of Vienn Disclimer Exploiting repetition nd sprsity in input for reducing

More information

Data Space Oriented Tiling

Data Space Oriented Tiling Dt Spce Oriented Tiling Mhmut Kndemir Deprtment of Computer Science nd Engineering The Pennsylvni Stte University University Prk, PA 16802, USA kndemir@cse.psu.edu Abstrct. An optimizing compiler cn ply

More information

High Priority Traffic in HCF on Wireless Networks

High Priority Traffic in HCF on Wireless Networks High Priority Trffic in HC on Wireless Networks Mo Add, Amnd Pert, Gordon Erly School of Comuting, University of Portsmouth, Lion Terrce, Portsmouth, UK {mo.dd, mnd.ert, gordon.erly }@ort.c.uk Abstrct

More information

Functor (1A) Young Won Lim 10/5/17

Functor (1A) Young Won Lim 10/5/17 Copyright (c) 2016-2017 Young W. Lim. Permission is grnted to copy, distribute nd/or modify this document under the terms of the GNU Free Documenttion License, Version 1.2 or ny lter version published

More information

Suffix trees, suffix arrays, BWT

Suffix trees, suffix arrays, BWT ALGORITHMES POUR LA BIO-INFORMATIQUE ET LA VISUALISATION COURS 3 Rluc Uricru Suffix trees, suffix rrys, BWT Bsed on: Suffix trees nd suffix rrys presenttion y Him Kpln Suffix trees course y Pco Gomez Liner-Time

More information

An Overview of PDF/X. Dov Isaacs Principal Scientist, Workflow & Interoperability Chair, ISO TC130 WG2/TF2, PDF/X April 27, 2011

An Overview of PDF/X. Dov Isaacs Principal Scientist, Workflow & Interoperability Chair, ISO TC130 WG2/TF2, PDF/X April 27, 2011 An Overview of PDF/X Dov Iscs Principl Scientist, Workflow & Interoperbility Chir, ISO TC130 WG2/TF2, PDF/X April 27, 2011 PDF s n Adobe File Formt 1993 to 2008 PDF formt introduced by Adobe with Acrobt

More information

Graph Theory and DNA Nanostructures. Laura Beaudin, Jo Ellis-Monaghan*, Natasha Jonoska, David Miller, and Greta Pangborn

Graph Theory and DNA Nanostructures. Laura Beaudin, Jo Ellis-Monaghan*, Natasha Jonoska, David Miller, and Greta Pangborn Grph Theory nd DNA Nnostructures Lur Beudin, Jo Ellis-Monghn*, Ntsh Jonosk, Dvid Miller, nd Gret Pngborn A grph is set of vertices (dots) with edges (lines) connecting them. 1 2 4 6 5 3 A grph F A B C

More information

Lecture 10 Evolutionary Computation: Evolution strategies and genetic programming

Lecture 10 Evolutionary Computation: Evolution strategies and genetic programming Lecture 10 Evolutionry Computtion: Evolution strtegies nd genetic progrmming Evolution strtegies Genetic progrmming Summry Negnevitsky, Person Eduction, 2011 1 Evolution Strtegies Another pproch to simulting

More information

CVM-B100 CVM-B150. Power analyzer for panels

CVM-B100 CVM-B150. Power analyzer for panels Power nlyzers CVM CVM-100 CVM-150 Power nlyzer for pnels Description High-end power nlyzers, verstile nd expndle, with 4-qudrnt mesurement (Consumption nd Genertion). Suitle for high nd low Voltge instlltions,

More information

Mesh and Node Equations: Circuits Containing Dependent Sources

Mesh and Node Equations: Circuits Containing Dependent Sources Mesh nd Node Equtons: Crcuts Contnng Dependent Sources Introducton The crcuts n ths set of problems re smll crcuts tht contn sngle dependent source. These crcuts cn be nlyzed usng mesh equton or usng node

More information

LETKF compared to 4DVAR for assimilation of surface pressure observations in IFS

LETKF compared to 4DVAR for assimilation of surface pressure observations in IFS LETKF compred to 4DVAR for ssimiltion of surfce pressure oservtions in IFS Pu Escrià, Mssimo Bonvit, Mts Hmrud, Lrs Isksen nd Pul Poli Interntionl Conference on Ensemle Methods in Geophysicl Sciences Toulouse,

More information