Basic Land Use Transportation Models

Size: px
Start display at page:

Download "Basic Land Use Transportation Models"

Transcription

1 Advanced Urban Modelng GCU 598 (28167 or PUP 598 (28168 Arl 30, 2010 Lecture 3 Basc Land Use Transortaton Models htt:// Centre Centre for Advanced for Advanced Satal Satal Analyss, Unversty College London

2 Outlne Entroy Maxmsng Agan and Related Measures Resdental Locaton, Modal Slt Models The London Tyndall Model: Alcatons Transortaton Modellng: The Four Stage Process Modular Modellng: Couled Satal Interacton A Smle Examle of Modularty: Lowry s Model DRAM EMPAL Style Models Demand and Suly: Maret Clearng Inut Outut: The Echenque Models Next Monday s Lecture Centre Centre for Advanced for Advanced Satal Satal Analyss, Unversty College London

3 Entroy Maxmsng Agan and Related Measures Frst we defne entroy as Shannon nformaton and we convert all our equatons and constrants to robabltes. Shannon entroy s a measure of sread or comactness n satal systems H log We maxmse ths entroy subect to orgn and destnaton constrants or some combnaton of these but notng now that we need another constrant on travel cost whch s equvalent to energy so that we can derve a model c Cˆ Centre Centre for Advanced for Advanced Satal Satal Analyss, Unversty College London

4 We thus set u the roblem as max H subect to c Cˆ log But note that the robabltes always add to 1, that s 1 From ths we get the Boltzmann Gbbs dstrbuton for the robabltes Centre Centre for Advanced for Advanced Satal Satal Analyss, Unversty College London

5 By settng u a Lagrangan whch s the method of maxmsaton, then we get or T ex( c T } } A O B D } ex( c Now we can generate any model n the famly of four models unconstraned, sngly constraned (orgn or destnaton and doubly constraned by settng the redundant constrant arameters equal to zero and smlfyng the model To derve a resdental locaton model whch s orgn constraned we now the nformaton at the orgn but want to redct the flows to the destnaton and add u these flows to redct actvty at the destnaton, we Centre Centre for Advanced for Advanced Satal Satal Analyss, Unversty College London

6 We thus set u the roblem as max H subect to c Cˆ log or ex( c And we get T D T where T A O ex( c O ex( c ex( c Centre Centre for Advanced for Advanced Satal Satal Analyss, Unversty College London

7 Several thngs to note: There s no attractor value at the destnaton we would need to ut ths n as a constrant.e. a ece of nformaton to be ncoorated by the model Ths s a locaton model we redct actvty at the destnaton n the case of a model that redcts how many eole worng n zone O lve n zone, ths s D where the rme s the notaton for redcted Now let us ut ths model bac nto the entroy equaton and see what we get let us ut the model bac n n ts exonental form ex( c Centre Centre for Advanced for Advanced Satal Satal Analyss, Unversty College London

8 Then what we get s H Cˆ log log ex( c ( c Cˆ What we need to note s that entroy s arttoned nto a fxed energy and free energy the fxed s the second term and the free s the frst a seres of weghted log sums and t s often thought of a nd of accessblty. In ths case t s the sum of accessbltes, one for each orgn zone. It has strong relatons to utlty n the random utlty maxmsng verson of ths nd of model whch s central to dscrete choce theory / Centre Centre for Advanced for Advanced Satal Satal Analyss, Unversty College London

9 Resdental Locaton, Modal Slt Let me llustrate n two ways how we can buld models usng ths framewor If we say that resdental locaton deends on not only travel cost but also on money avalable for housng we argue as before that The model s sngly constraned we now where eole wor and we want to fnd out where they lve so orgns are worlaces and destnatons are housng areas The model then lets us redct eole n housng We argue that eole wll trade off money for housng aganst transort cost And we then set u the model as follows Centre Centre for Advanced for Advanced Satal Satal Analyss, Unversty College London

10 Ths tme usng not the robablty form but the tr actvtyvolume form, we get T T leads T T to O c A O R C R ex( R ex( c Note that we now add a constrant on money avalable for housng (le rent R. We can of course fnd out from ths locaton model how many eole lve n destnaton housng zones, so agan t s a dstrbuton as well as a locaton model P T Centre Centre for Advanced for Advanced Satal Satal Analyss, Unversty College London

11 We can extend ths model n lots of ways and we wll show some of these later. We also can thn about dsaggregatng the model nto dfferent transort modes let us call each mode and then set u the model so that we can redct T as follows The model s sngly (orgn constraned because we want to redcts how many eole travel from wor to home. Gven we now how many eole wor at orgns, and we want to redct what mode of transort they travel on. Then T T T c O F C F Centre Centre for Advanced for Advanced Satal Satal Analyss, Unversty College London

12 And the model can be secfed as T O F ex( c F ex( c Note that the mode slt s a rato of the comettve effects of each travel cost, that s O F F ex( c ex( c T T ex( c ex( c In short the model s not only dstrbutng trs so that locatons comete but also that modes comete BUT modes do not comete er se wth locatons Now let us see how we can buld ths model for real Centre Centre for Advanced for Advanced Satal Satal Analyss, Unversty College London

13 The London Tyndall Model: Alcatons Essentally we have bult ths model for Greater London whch s dvded nto 633 zones the area has 7.7m oulaton and about 4.3m obs we have four modes road (car, heavy ral, lght ral and tube, and bus wal/be s a resdual mode. To fx deas let me show the extent of the area frst Go to to see many mas of Greater London Centre Centre for Advanced for Advanced Satal Satal Analyss, Unversty College London

14 Vsual Analytcs and Modellng Processes Centre Centre for Advanced for Advanced Satal Satal Analyss, Unversty College London

15 Centre Centre for Advanced for Advanced Satal Satal Analyss, Unversty College London

16 Modes Road Bus Heavy Ral Lght Ral All Trs Road: 38%; Bus: 12%: Heavy Ral: 12%: Lght Ral 19%; Other (Wal, Be, Fly: 19% Centre Centre for Advanced for Advanced Satal Satal Analyss, Unversty College London

17 Centre Centre for Advanced for Advanced Satal Satal Analyss, Unversty College London

18 Accessblty from the LUTM model Many dfferent accessblty measures, 8 n all Centre Centre for Advanced for Advanced Satal Satal Analyss, Unversty College London

19 Centre Centre for Advanced for Advanced Satal Satal Analyss, Unversty College London

20 Centre Centre for Advanced for Advanced Satal Satal Analyss, Unversty College London

21 Let us run the model I need to go to my folder >> Centre Centre for Advanced for Advanced Satal Satal Analyss, Unversty College London

22 Run Centre Centre for Advanced for Advanced Satal Satal Analyss, Unversty College London

23 For a very old move of all ths go to our web ste htt:// We need to retrac and say somethng more about these nds of satal nteracton models and how they can be extended Centre Centre for Advanced for Advanced Satal Satal Analyss, Unversty College London

24 Transortaton Modellng: The Four Stage Process I should mae a bref ont about transort modellng we have ncluded transort and locaton together here but tradtonally the transort model s based on a four stage rocess that nvolves generaton, dstrbuton, modal slt and assgnment The other ssue s that n the standard transort modellng rocess, once trs are assgned to the networ, then one can assess whether the networ can tae the load ths s matchng travel demand aganst suly and f not then the model s terated to match demand to suly. Ths s another generc ssue n urban modellng demand and suly and the way the maret resolves ths. Centre Centre for Advanced for Advanced Satal Satal Analyss, Unversty College London

25 Modular Modellng: Couled Satal Interacton Now we have a module for one nd of nteracton consder strngng these together as more than one nd of satal nteracton Classcally we mght model flows from home to wor and home to sho but there are many more and n ths sense, we can use these as buldng blocs for wder models. Ths s for next tme too What we wll now do s llustrate how we mght buld such a structure tang a ourney to wor model from Emloyment to Poulaton and then to Shong whch we structure as Centre Centre for Advanced for Advanced Satal Satal Analyss, Unversty College London

26 Frst we have the ourney from wor to home model as T P E F ex( c, F ex( c T And then the demand from home to sho Wm ex( c m S m P, W ex( c S m S m m m m And there s a otental ln bac to emloyment from the retal sector E f ( S m m T m S m E P Centre Centre for Advanced for Advanced Satal Satal Analyss, Unversty College London

27 A Smle Examle of Modularty: Lowry s s Model Lowry s (1964 model of Pttsburgh was a model of ths nature but t also ncororated n t or rather ts dervatves dd more formally a generatve sequence of startng wth only a orton of emloyment basc and then generatng the non basc that came from ths. Ths non basc set u demand for more non basc and so on untl all the non basc emloyment was generated, and ths sequence followed the classc multler effect that s central to nut outut models. A bloc dagram of the model follows Centre Centre for Advanced for Advanced Satal Satal Analyss, Unversty College London

28 From htt:// Centre Centre for Advanced for Advanced Satal Satal Analyss, Unversty College London

29 DRAM EMPAL Style Models Essentally what we have here s the noton of smultaneous deendence eone actvty generates another but that other actvty generates the frst one what came frst the chcen or the egg? Stehen Putman develoed an ntegrated model to redct resdental locaton DRAM and another to redct emloyment locaton EMPAL. In essence dfferent models are used to do each the emloyment model tends to be based on very dfferent factors t s a regresson le model of ey locaton factors not a flow model Centre Centre for Advanced for Advanced Satal Satal Analyss, Unversty College London

30 Demand and Suly: Maret Clearng So far most of these models have been artculated from the demand sde they are models of travel demand and locatonal demand they say nothng about suly although we dd ntroduce the noton that n smulatng trs and assgnng these to the networ, we need to nvoe suly. When demand and suly are n balance, then the usual sgnal of ths s the rce that s charged. In one sense the DRAM EMPAL model confgures resdental locaton as demand and emloyment locaton as suly but most models tend to treat suly as beng relatvely fxed, gven, non modellable Centre Centre for Advanced for Advanced Satal Satal Analyss, Unversty College London

31 However several models that coule more than one actvty together treat suly as beng balanced wth demand, often startng wth demand, seeng f demand s met, f not changng the bass of demand and so on untl equlbrum s ascertaned. Sometmes rces determne the sgnal of ths balance. If demand s too hgh, rce rses and demand falls untl suly s met and vce versa Most urban models do not attemt to model suly for suly sde modellng s much harder and less subect to generalsable behavour A strategy for ensurng balance s as follows for a model wth two sectors le the one we llustrated earler Centre Centre for Advanced for Advanced Satal Satal Analyss, Unversty College London

32 Predct wor to home trs Assgn to networ and chec caacty Adust travel costs Predct oulaton at home Chec caacty Adust rces resd attractors Predct home to sho trs Assgn to networ and chec caacty Adust travel costs Predct retal actvty at shong centres Chec caacty Adust rces resd attractors Centre Centre for Advanced for Advanced Satal Satal Analyss, Unversty College London

33 The decson to nest what loo nsde what other loo s a bg ssue that maes these models non unque If the suly sde s modelled searately then the way ths s ncororated further comlcates the sequence of model oeratons. In large scale ntegrated models, that we wll deal wth next tme these are crucal ssues In fact we don t have tme but there s one further structural ssue we wll deal wth when we meet next tme and ths s Inut Outut: The Echenque Models Centre Centre for Advanced for Advanced Satal Satal Analyss, Unversty College London

34 There s some good readng of all ths materal n Google Boos n Button, K. J., Haynes, K. E., Stoher, P., and Hensher, D. A. (Edtors (2004 Handboo of Transort Geograhy and Satal Systems, Volume 5 (Handboos n Transort, Elsever Scence, New Yor htt://boos.google.com/boos?d=wmo06zfuy8c&rntsec=frontcover&dq=handboo+of+transo rt+geograhy+and+satal+systems&source=bl&ots=qvggla6_a&sg=bvoq_5befh10nsq GcCSuSNE&hl=en&e=8CraSy1AZDosQORtrSHAQ&sa=X&o=boo_result&ct=result&resnum =3&ved=0CBQQ6AEwAg#v=oneage&q&f=false Centre Centre for Advanced for Advanced Satal Satal Analyss, Unversty College London

35 Readng I wll ut materal u on the web tomorrow Any Questons? Centre Centre for Advanced for Advanced Satal Satal Analyss, Unversty College London

D5.4 Enhanced Version of the SIMULACRA Model

D5.4 Enhanced Version of the SIMULACRA Model D5.2 Enhanced Verson of the SIMULACRA Model Proect acronym: Proect ttle: INSIGHT Grant Agreement number: 611307 Fundng Scheme: Proect start date / Duraton: Call Topc: Proect webste: Delverable: Innovatve

More information

To: Professor Avitabile Date: February 4, 2003 From: Mechanical Student Subject: Experiment #1 Numerical Methods Using Excel

To: Professor Avitabile Date: February 4, 2003 From: Mechanical Student Subject: Experiment #1 Numerical Methods Using Excel To: Professor Avtable Date: February 4, 3 From: Mechancal Student Subject:.3 Experment # Numercal Methods Usng Excel Introducton Mcrosoft Excel s a spreadsheet program that can be used for data analyss,

More information

Test 2. ECON3161, Game Theory. Tuesday, November 6 th

Test 2. ECON3161, Game Theory. Tuesday, November 6 th Test 2 ECON36, Game Theory Tuesday, November 6 th Drectons: Answer each queston completely. If you cannot determne the answer, explanng how you would arrve at the answer may earn you some ponts.. (20 ponts)

More information

IEE Electronics Letters, vol 34, no 17, August 1998, pp ESTIMATING STARTING POINT OF CONDUCTION OF CMOS GATES

IEE Electronics Letters, vol 34, no 17, August 1998, pp ESTIMATING STARTING POINT OF CONDUCTION OF CMOS GATES IEE Electroncs Letters, vol 34, no 17, August 1998, pp. 1622-1624. ESTIMATING STARTING POINT OF CONDUCTION OF CMOS GATES A. Chatzgeorgou, S. Nkolads 1 and I. Tsoukalas Computer Scence Department, 1 Department

More information

Unit 1. Current and Voltage U 1 VOLTAGE AND CURRENT. Circuit Basics KVL, KCL, Ohm's Law LED Outputs Buttons/Switch Inputs. Current / Voltage Analogy

Unit 1. Current and Voltage U 1 VOLTAGE AND CURRENT. Circuit Basics KVL, KCL, Ohm's Law LED Outputs Buttons/Switch Inputs. Current / Voltage Analogy ..2 nt Crcut Bascs KVL, KCL, Ohm's Law LED Outputs Buttons/Swtch Inputs VOLTAGE AND CRRENT..4 Current and Voltage Current / Voltage Analogy Charge s measured n unts of Coulombs Current Amount of charge

More information

Review: Our Approach 2. CSC310 Information Theory

Review: Our Approach 2. CSC310 Information Theory CSC30 Informaton Theory Sam Rowes Lecture 3: Provng the Kraft-McMllan Inequaltes September 8, 6 Revew: Our Approach The study of both compresson and transmsson requres that we abstract data and messages

More information

Dynamic Optimization. Assignment 1. Sasanka Nagavalli January 29, 2013 Robotics Institute Carnegie Mellon University

Dynamic Optimization. Assignment 1. Sasanka Nagavalli January 29, 2013 Robotics Institute Carnegie Mellon University Dynamc Optmzaton Assgnment 1 Sasanka Nagavall snagaval@andrew.cmu.edu 16-745 January 29, 213 Robotcs Insttute Carnege Mellon Unversty Table of Contents 1. Problem and Approach... 1 2. Optmzaton wthout

More information

We assume a two-layered model, and a P wave is excited in the upper layer.

We assume a two-layered model, and a P wave is excited in the upper layer. 3.4 Crtcal angle We assume a two-layered model, and a P wave s ected n the uer layer. When a P wave mnges on a horontal boundary, the ncdence angle for the transmtted P wave n the second medum s gven by

More information

High Speed ADC Sampling Transients

High Speed ADC Sampling Transients Hgh Speed ADC Samplng Transents Doug Stuetzle Hgh speed analog to dgtal converters (ADCs) are, at the analog sgnal nterface, track and hold devces. As such, they nclude samplng capactors and samplng swtches.

More information

Passive Filters. References: Barbow (pp ), Hayes & Horowitz (pp 32-60), Rizzoni (Chap. 6)

Passive Filters. References: Barbow (pp ), Hayes & Horowitz (pp 32-60), Rizzoni (Chap. 6) Passve Flters eferences: Barbow (pp 6575), Hayes & Horowtz (pp 360), zzon (Chap. 6) Frequencyselectve or flter crcuts pass to the output only those nput sgnals that are n a desred range of frequences (called

More information

ANNUAL OF NAVIGATION 11/2006

ANNUAL OF NAVIGATION 11/2006 ANNUAL OF NAVIGATION 11/2006 TOMASZ PRACZYK Naval Unversty of Gdyna A FEEDFORWARD LINEAR NEURAL NETWORK WITH HEBBA SELFORGANIZATION IN RADAR IMAGE COMPRESSION ABSTRACT The artcle presents the applcaton

More information

TEMPERATURE PREDICTION IN TIMBER USING ARTIFICIAL NEURAL NETWORKS

TEMPERATURE PREDICTION IN TIMBER USING ARTIFICIAL NEURAL NETWORKS TEMPERATURE PREDICTION IN TIMBER USING ARTIFICIAL NEURAL NETWORKS Paulo Cachm ABSTRACT: Neural networks are a owerful tool used to model roertes and behavour of materals n many areas of cvl engneerng alcatons.

More information

Uncertainty in measurements of power and energy on power networks

Uncertainty in measurements of power and energy on power networks Uncertanty n measurements of power and energy on power networks E. Manov, N. Kolev Department of Measurement and Instrumentaton, Techncal Unversty Sofa, bul. Klment Ohrdsk No8, bl., 000 Sofa, Bulgara Tel./fax:

More information

Discussion on How to Express a Regional GPS Solution in the ITRF

Discussion on How to Express a Regional GPS Solution in the ITRF 162 Dscusson on How to Express a Regonal GPS Soluton n the ITRF Z. ALTAMIMI 1 Abstract The usefulness of the densfcaton of the Internatonal Terrestral Reference Frame (ITRF) s to facltate ts access as

More information

MODELING OF PASSENGER WAITING TIME IN INTERMODAL STATION WITH CONSTRAINED CAPACITY ON INTERCITY TRANSIT

MODELING OF PASSENGER WAITING TIME IN INTERMODAL STATION WITH CONSTRAINED CAPACITY ON INTERCITY TRANSIT 9 MODELING OF PASSENGER WAITING TIME IN INTERMODAL STATION WIT CONSTRAINED CAPACITY ON INTERCITY TRANSIT S.K. Jason CANG Professor Deartment of Cvl Engneerng Natonal Tawan Unversty Tae, 067 Tawan Fax:

More information

MTBF PREDICTION REPORT

MTBF PREDICTION REPORT MTBF PREDICTION REPORT PRODUCT NAME: BLE112-A-V2 Issued date: 01-23-2015 Rev:1.0 Copyrght@2015 Bluegga Technologes. All rghts reserved. 1 MTBF PREDICTION REPORT... 1 PRODUCT NAME: BLE112-A-V2... 1 1.0

More information

Calculation of the received voltage due to the radiation from multiple co-frequency sources

Calculation of the received voltage due to the radiation from multiple co-frequency sources Rec. ITU-R SM.1271-0 1 RECOMMENDATION ITU-R SM.1271-0 * EFFICIENT SPECTRUM UTILIZATION USING PROBABILISTIC METHODS Rec. ITU-R SM.1271 (1997) The ITU Radocommuncaton Assembly, consderng a) that communcatons

More information

A NSGA-II algorithm to solve a bi-objective optimization of the redundancy allocation problem for series-parallel systems

A NSGA-II algorithm to solve a bi-objective optimization of the redundancy allocation problem for series-parallel systems 0 nd Internatonal Conference on Industral Technology and Management (ICITM 0) IPCSIT vol. 49 (0) (0) IACSIT Press, Sngapore DOI: 0.776/IPCSIT.0.V49.8 A NSGA-II algorthm to solve a b-obectve optmzaton of

More information

Network Theory. EC / EE / IN. for

Network Theory.   EC / EE / IN. for Network Theory for / / IN By www.thegateacademy.com Syllabus Syllabus for Networks Network Graphs: Matrces Assocated Wth Graphs: Incdence, Fundamental ut Set and Fundamental rcut Matrces. Soluton Methods:

More information

Priority based Dynamic Multiple Robot Path Planning

Priority based Dynamic Multiple Robot Path Planning 2nd Internatonal Conference on Autonomous obots and Agents Prorty based Dynamc Multple obot Path Plannng Abstract Taxong Zheng Department of Automaton Chongqng Unversty of Post and Telecommuncaton, Chna

More information

Integer Programming. P.H.S. Torr Lecture 5. Integer Programming

Integer Programming. P.H.S. Torr Lecture 5. Integer Programming Integer Programmng P.H.S. Torr Lecture 5 Integer Programmng Outlne Mathematcal programmng paradgm Lnear Programmng Integer Programmng Integer Programmng Eample Unmodularty LP -> IP Theorem Concluson Specal

More information

Introduction to Coalescent Models. Biostatistics 666 Lecture 4

Introduction to Coalescent Models. Biostatistics 666 Lecture 4 Introducton to Coalescent Models Bostatstcs 666 Lecture 4 Last Lecture Lnkage Equlbrum Expected state for dstant markers Lnkage Dsequlbrum Assocaton between neghborng alleles Expected to decrease wth dstance

More information

A TWO-PLAYER MODEL FOR THE SIMULTANEOUS LOCATION OF FRANCHISING SERVICES WITH PREFERENTIAL RIGHTS

A TWO-PLAYER MODEL FOR THE SIMULTANEOUS LOCATION OF FRANCHISING SERVICES WITH PREFERENTIAL RIGHTS A TWO-PLAYER MODEL FOR THE SIMULTANEOUS LOCATION OF FRANCHISING SERVICES WITH PREFERENTIAL RIGHTS Pedro Godnho and oana Das Faculdade de Economa and GEMF Unversdade de Combra Av. Das da Slva 65 3004-5

More information

Chain Codes. Shape Representation and Description. Signatures. Polygonal Approximations

Chain Codes. Shape Representation and Description. Signatures. Polygonal Approximations Shae Reresentaton and Descrton Reresentaton Matchng or comarng reresentatons for shae recognton Invarance wth resect to nusance arameters Image codng Descrton Classf shaes based on a descrtor Invarance

More information

Comparative Analysis of Reuse 1 and 3 in Cellular Network Based On SIR Distribution and Rate

Comparative Analysis of Reuse 1 and 3 in Cellular Network Based On SIR Distribution and Rate Comparatve Analyss of Reuse and 3 n ular Network Based On IR Dstrbuton and Rate Chandra Thapa M.Tech. II, DEC V College of Engneerng & Technology R.V.. Nagar, Chttoor-5727, A.P. Inda Emal: chandra2thapa@gmal.com

More information

Introduction to Coalescent Models. Biostatistics 666

Introduction to Coalescent Models. Biostatistics 666 Introducton to Coalescent Models Bostatstcs 666 Prevously Allele frequences Hardy Wenberg Equlbrum Lnkage Equlbrum Expected state for dstant markers Lnkage Dsequlbrum Assocaton between neghborng alleles

More information

Analysis of Time Delays in Synchronous and. Asynchronous Control Loops. Bj rn Wittenmark, Ben Bastian, and Johan Nilsson

Analysis of Time Delays in Synchronous and. Asynchronous Control Loops. Bj rn Wittenmark, Ben Bastian, and Johan Nilsson 37th CDC, Tampa, December 1998 Analyss of Delays n Synchronous and Asynchronous Control Loops Bj rn Wttenmark, Ben Bastan, and Johan Nlsson emal: bjorn@control.lth.se, ben@control.lth.se, and johan@control.lth.se

More information

Optimal routing and departure time choice for just-in-time deliveries in time-dependent networks with random delays

Optimal routing and departure time choice for just-in-time deliveries in time-dependent networks with random delays Kanturska, Trozz, Bell Submsson to Journal of Flexble Servces and Manufacturng secal ssue on Otmzaton n Logstcs, Traffc & Transortaton Otmal routng and dearture tme choce for just-n-tme delveres n tme-deendent

More information

EE301 AC Source Transformation and Nodal Analysis

EE301 AC Source Transformation and Nodal Analysis EE0 AC Source Transformaton and Nodal Analyss Learnng Ojectves. Construct equvalent crcuts y convertng an AC voltage source and a resstor to an AC current source and a resstor. Apply Nodal Analyss to an

More information

NETWORK 2001 Transportation Planning Under Multiple Objectives

NETWORK 2001 Transportation Planning Under Multiple Objectives NETWORK 200 Transportaton Plannng Under Multple Objectves Woodam Chung Graduate Research Assstant, Department of Forest Engneerng, Oregon State Unversty, Corvalls, OR9733, Tel: (54) 737-4952, Fax: (54)

More information

GAME THEORY AND INTERFERENCE AVOIDANCE IN DECENTRALIZED NETWORKS

GAME THEORY AND INTERFERENCE AVOIDANCE IN DECENTRALIZED NETWORKS GAME TEORY AD ITERFERECE AVOIDACE I DECETRALIZED ETWORS Rekha Menon, (MPRG Vrgna Tech, Blacksburg, VA, USA, rmenon@vt.edu) Dr. Allen B. Macenze, (Electrcal and Comuter Engneerng Deartment, Vrgna Tech)

More information

Prevention of Sequential Message Loss in CAN Systems

Prevention of Sequential Message Loss in CAN Systems Preventon of Sequental Message Loss n CAN Systems Shengbng Jang Electrcal & Controls Integraton Lab GM R&D Center, MC: 480-106-390 30500 Mound Road, Warren, MI 48090 shengbng.jang@gm.com Ratnesh Kumar

More information

THEORY OF YARN STRUCTURE by Prof. Bohuslav Neckář, Textile Department, IIT Delhi, New Delhi. Compression of fibrous assemblies

THEORY OF YARN STRUCTURE by Prof. Bohuslav Neckář, Textile Department, IIT Delhi, New Delhi. Compression of fibrous assemblies THEORY OF YARN STRUCTURE by Prof. Bohuslav Neckář, Textle Department, IIT Delh, New Delh. Compresson of fbrous assembles Q1) What was the dea of fbre-to-fbre contact accordng to van Wyk? A1) Accordng to

More information

4.3- Modeling the Diode Forward Characteristic

4.3- Modeling the Diode Forward Characteristic 2/8/2012 3_3 Modelng the ode Forward Characterstcs 1/3 4.3- Modelng the ode Forward Characterstc Readng Assgnment: pp. 179-188 How do we analyze crcuts wth juncton dodes? 2 ways: Exact Solutons ffcult!

More information

Walsh Function Based Synthesis Method of PWM Pattern for Full-Bridge Inverter

Walsh Function Based Synthesis Method of PWM Pattern for Full-Bridge Inverter Walsh Functon Based Synthess Method of PWM Pattern for Full-Brdge Inverter Sej Kondo and Krt Choesa Nagaoka Unversty of Technology 63-, Kamtomoka-cho, Nagaoka 9-, JAPAN Fax: +8-58-7-95, Phone: +8-58-7-957

More information

Revision of Lecture Twenty-One

Revision of Lecture Twenty-One Revson of Lecture Twenty-One FFT / IFFT most wdely found operatons n communcaton systems Important to know what are gong on nsde a FFT / IFFT algorthm Wth the ad of FFT / IFFT, ths lecture looks nto OFDM

More information

TECHNICAL NOTE TERMINATION FOR POINT- TO-POINT SYSTEMS TN TERMINATON FOR POINT-TO-POINT SYSTEMS. Zo = L C. ω - angular frequency = 2πf

TECHNICAL NOTE TERMINATION FOR POINT- TO-POINT SYSTEMS TN TERMINATON FOR POINT-TO-POINT SYSTEMS. Zo = L C. ω - angular frequency = 2πf TECHNICAL NOTE TERMINATION FOR POINT- TO-POINT SYSTEMS INTRODUCTION Because dgtal sgnal rates n computng systems are ncreasng at an astonshng rate, sgnal ntegrty ssues have become far more mportant to

More information

Control Chart. Control Chart - history. Process in control. Developed in 1920 s. By Dr. Walter A. Shewhart

Control Chart. Control Chart - history. Process in control. Developed in 1920 s. By Dr. Walter A. Shewhart Control Chart - hstory Control Chart Developed n 920 s By Dr. Walter A. Shewhart 2 Process n control A phenomenon s sad to be controlled when, through the use of past experence, we can predct, at least

More information

Tile Values of Information in Some Nonzero Sum Games

Tile Values of Information in Some Nonzero Sum Games lnt. ournal of Game Theory, Vot. 6, ssue 4, page 221-229. Physca- Verlag, Venna. Tle Values of Informaton n Some Nonzero Sum Games By P. Levne, Pars I ), and ZP, Ponssard, Pars 2 ) Abstract: The paper

More information

Intelligent pipeline control - a simulation study in the automotive sector

Intelligent pipeline control - a simulation study in the automotive sector Intellgent ppelne control - a smulaton study n the automotve sector Phlp G. Brabazon, Andrew Woodcock, Bart L. MacCarthy Mass Customzaton Research Centre, Nottngham Unversty Busness School, Jublee Campus,

More information

Fixed-Charge Network Flow Problems with a Hybrid Optimization and. Constraint Programming Approach. Solving. John Hooker, Hak-Jin Kim

Fixed-Charge Network Flow Problems with a Hybrid Optimization and. Constraint Programming Approach. Solving. John Hooker, Hak-Jin Kim Solvng Fed-Charge Network Flow Problems wth a Hbrd Optmaton and Constrant Programmng Approach John Hooker, Hak-Jn Km Carnege ellon Unverst ISP, August 2 An Approach that Combnes Optmaton and Constrant

More information

Lecture 30: Audio Amplifiers

Lecture 30: Audio Amplifiers Whtes, EE 322 Lecture 30 Page 1 of 9 Lecture 30: Audo Amplfers Once the audo sgnal leaes the Product Detector, there are two more stages t passes through before beng output to the speaker (ref. Fg. 1.13):

More information

ECE315 / ECE515 Lecture 5 Date:

ECE315 / ECE515 Lecture 5 Date: Lecture 5 Date: 18.08.2016 Common Source Amplfer MOSFET Amplfer Dstorton Example 1 One Realstc CS Amplfer Crcut: C c1 : Couplng Capactor serves as perfect short crcut at all sgnal frequences whle blockng

More information

White Paper. OptiRamp Model-Based Multivariable Predictive Control. Advanced Methodology for Intelligent Control Actions

White Paper. OptiRamp Model-Based Multivariable Predictive Control. Advanced Methodology for Intelligent Control Actions Whte Paper OptRamp Model-Based Multvarable Predctve Control Advanced Methodology for Intellgent Control Actons Vadm Shapro Dmtry Khots, Ph.D. Statstcs & Control, Inc., (S&C) propretary nformaton. All rghts

More information

Networks. Backpropagation. Backpropagation. Introduction to. Backpropagation Network training. Backpropagation Learning Details 1.04.

Networks. Backpropagation. Backpropagation. Introduction to. Backpropagation Network training. Backpropagation Learning Details 1.04. Networs Introducton to - In 1986 a method for learnng n mult-layer wor,, was nvented by Rumelhart Paper Why are what and where processed by separate cortcal vsual systems? - The algorthm s a sensble approach

More information

The Clock-Aided Method for GPS Receiver Positioning in an Urban Environment

The Clock-Aided Method for GPS Receiver Positioning in an Urban Environment Internatonal Journal of Comuter and Electrcal Engneerng, Vol. 3, No. 3, June The Cloc-Aded Method for GPS Recever Postonng n an Urban Envronment Yunlong Teng, Ybng Sh, and Zh Zheng Abstract As the sgnals

More information

Cod and climate: effect of the North Atlantic Oscillation on recruitment in the North Atlantic

Cod and climate: effect of the North Atlantic Oscillation on recruitment in the North Atlantic Ths appendx accompanes the artcle Cod and clmate: effect of the North Atlantc Oscllaton on recrutment n the North Atlantc Lef Chrstan Stge 1, Ger Ottersen 2,3, Keth Brander 3, Kung-Sk Chan 4, Nls Chr.

More information

Determination of the Multi-slot Transmission in Bluetooth Systems with the Estimation of the Channel Error Probability

Determination of the Multi-slot Transmission in Bluetooth Systems with the Estimation of the Channel Error Probability Determnaton of the Mult-slot Transmsson n Bluetooth Systems wth the Estmaton of the Channel Error Probablty K Won Sung and Chae Y. Lee Det. of Industral Engneerng, KAIST, 373-1 Kuseong Dong, Taejon, Korea

More information

STATISTICS. is given by. i i. = total frequency, d i. = x i a ANIL TUTORIALS. = total frequency and d i. = total frequency, h = class-size

STATISTICS. is given by. i i. = total frequency, d i. = x i a ANIL TUTORIALS. = total frequency and d i. = total frequency, h = class-size STATISTICS ImPORTANT TERmS, DEFINITIONS AND RESULTS l The mean x of n values x 1, x 2, x 3,... x n s gven by x1+ x2 + x3 +... + xn x = n l mean of grouped data (wthout class-ntervals) () Drect method :

More information

Optimization of transformer loading based on hot-spot temperature using a predictive health model

Optimization of transformer loading based on hot-spot temperature using a predictive health model Delft Unversty of Technology Delft Center for Systems and Control Techncal report 10-037 Optmzaton of transformer ng based on hot-spot temperature usng a predctve health model G. Bajracharya, T. Koltunowcz,

More information

PSO and ACO Algorithms Applied to Location Optimization of the WLAN Base Station

PSO and ACO Algorithms Applied to Location Optimization of the WLAN Base Station PSO and ACO Algorthms Appled to Locaton Optmzaton of the WLAN Base Staton Ivan Vlovć 1, Nša Burum 1, Zvonmr Špuš 2 and Robert Nađ 2 1 Unversty of Dubrovn, Croata 2 Unversty of Zagreb, Croata E-mal: van.vlovc@undu.hr,

More information

Webinar Series TMIP VISION

Webinar Series TMIP VISION Webnar Seres TMIP VISION TMIP provdes techncal support and promotes knowledge and nformaton exchange n the transportaton plannng and modelng communty. DISCLAIMER The vews and opnons expressed durng ths

More information

Understanding the Spike Algorithm

Understanding the Spike Algorithm Understandng the Spke Algorthm Vctor Ejkhout and Robert van de Gejn May, ntroducton The parallel soluton of lnear systems has a long hstory, spannng both drect and teratve methods Whle drect methods exst

More information

Chinese Remainder. Discrete Mathematics Andrei Bulatov

Chinese Remainder. Discrete Mathematics Andrei Bulatov Chnese Remander Introducton Theorem Dscrete Mathematcs Andre Bulatov Dscrete Mathematcs Chnese Remander Theorem 34-2 Prevous Lecture Resdues and arthmetc operatons Caesar cpher Pseudorandom generators

More information

Phasor Representation of Sinusoidal Signals

Phasor Representation of Sinusoidal Signals Phasor Representaton of Snusodal Sgnals COSC 44: Dgtal Communcatons Instructor: Dr. Amr Asf Department of Computer Scence and Engneerng York Unversty Handout # 6: Bandpass odulaton Usng Euler dentty e

More information

Target Response Adaptation for Correlation Filter Tracking

Target Response Adaptation for Correlation Filter Tracking Target Response Adaptaton for Correlaton Flter Tracng Adel Bb, Matthas Mueller, and Bernard Ghanem Image and Vdeo Understandng Laboratory IVUL, Kng Abdullah Unversty of Scence and Technology KAUST, Saud

More information

THE ARCHITECTURE OF THE BROADBAND AMPLIFIERS WITHOUT CLASSICAL STAGES WITH A COMMON BASE AND A COMMON EMITTER

THE ARCHITECTURE OF THE BROADBAND AMPLIFIERS WITHOUT CLASSICAL STAGES WITH A COMMON BASE AND A COMMON EMITTER VOL. 0, NO. 8, OCTOBE 205 ISSN 89-6608 2006-205 Asan esearch Publshng Network (APN. All rghts reserved. THE ACHITECTUE OF THE BOADBAND AMPLIFIES WITHOUT CLASSICAL STAGES WITH A COMMON BASE AND A COMMON

More information

Evaluate the Effective of Annular Aperture on the OTF for Fractal Optical Modulator

Evaluate the Effective of Annular Aperture on the OTF for Fractal Optical Modulator Global Advanced Research Journal of Management and Busness Studes (ISSN: 2315-5086) Vol. 4(3) pp. 082-086, March, 2015 Avalable onlne http://garj.org/garjmbs/ndex.htm Copyrght 2015 Global Advanced Research

More information

UNIT 11 TWO-PERSON ZERO-SUM GAMES WITH SADDLE POINT

UNIT 11 TWO-PERSON ZERO-SUM GAMES WITH SADDLE POINT UNIT TWO-PERSON ZERO-SUM GAMES WITH SADDLE POINT Structure. Introducton Obectves. Key Terms Used n Game Theory.3 The Maxmn-Mnmax Prncple.4 Summary.5 Solutons/Answers. INTRODUCTION In Game Theory, the word

More information

Efficient Large Integers Arithmetic by Adopting Squaring and Complement Recoding Techniques

Efficient Large Integers Arithmetic by Adopting Squaring and Complement Recoding Techniques The th Worshop on Combnatoral Mathematcs and Computaton Theory Effcent Large Integers Arthmetc by Adoptng Squarng and Complement Recodng Technques Cha-Long Wu*, Der-Chyuan Lou, and Te-Jen Chang *Department

More information

Chapter 2 Two-Degree-of-Freedom PID Controllers Structures

Chapter 2 Two-Degree-of-Freedom PID Controllers Structures Chapter 2 Two-Degree-of-Freedom PID Controllers Structures As n most of the exstng ndustral process control applcatons, the desred value of the controlled varable, or set-pont, normally remans constant

More information

Comparison of Two Measurement Devices I. Fundamental Ideas.

Comparison of Two Measurement Devices I. Fundamental Ideas. Comparson of Two Measurement Devces I. Fundamental Ideas. ASQ-RS Qualty Conference March 16, 005 Joseph G. Voelkel, COE, RIT Bruce Sskowsk Rechert, Inc. Topcs The Problem, Eample, Mathematcal Model One

More information

Make Your Own Biodiesel Processor by drinkmorecoffee

Make Your Own Biodiesel Processor by drinkmorecoffee http://www.nstructables.com/d/make-your-own-bodesel-processor//... Instructables.com Make Your Own Bodesel Processor by drnkmorecoffee Aprl 21, 2008 In a world where envronmental awareness s becomng ncreasngly

More information

Equivalent Circuit Model of Electromagnetic Behaviour of Wire Objects by the Matrix Pencil Method

Equivalent Circuit Model of Electromagnetic Behaviour of Wire Objects by the Matrix Pencil Method ERBIAN JOURNAL OF ELECTRICAL ENGINEERING Vol. 5, No., May 008, -0 Equvalent Crcut Model of Electromagnetc Behavour of Wre Objects by the Matrx Pencl Method Vesna Arnautovsk-Toseva, Khall El Khamlch Drss,

More information

A Novel Optimization of the Distance Source Routing (DSR) Protocol for the Mobile Ad Hoc Networks (MANET)

A Novel Optimization of the Distance Source Routing (DSR) Protocol for the Mobile Ad Hoc Networks (MANET) A Novel Optmzaton of the Dstance Source Routng (DSR) Protocol for the Moble Ad Hoc Networs (MANET) Syed S. Rzv 1, Majd A. Jafr, and Khaled Ellethy Computer Scence and Engneerng Department Unversty of Brdgeport

More information

OPTIMIZING LOCATION AND LENGTH OF PASSING SIDINGS ON SINGLE-TRACK LINES FOR LONG HEAVY-HAUL FREIGHT TRAINS

OPTIMIZING LOCATION AND LENGTH OF PASSING SIDINGS ON SINGLE-TRACK LINES FOR LONG HEAVY-HAUL FREIGHT TRAINS OPTIMIZING LOCATION AND LENGTH OF PASSING SIDINGS ON SINGLE-TRACK LINES FOR LONG HEAVY-HAUL FREIGHT TRAINS Me-Cheng Shh Graduate Research Assstant Unversty of Illnos, Urbana-Chamagn, IL, USA P.E. C. Tyler

More information

NOVEL ITERATIVE TECHNIQUES FOR RADAR TARGET DISCRIMINATION

NOVEL ITERATIVE TECHNIQUES FOR RADAR TARGET DISCRIMINATION NOVEL ITERATIVE TECHNIQUES FOR RADAR TARGET DISCRIMINATION Phaneendra R.Venkata, Nathan A. Goodman Department of Electrcal and Computer Engneerng, Unversty of Arzona, 30 E. Speedway Blvd, Tucson, Arzona

More information

Capacitated set-covering model considering the distance objective and dependency of alternative facilities

Capacitated set-covering model considering the distance objective and dependency of alternative facilities IOP Conference Seres: Materals Scence and Engneerng PAPER OPEN ACCESS Capactated set-coverng model consderng the dstance obectve and dependency of alternatve facltes To cte ths artcle: I Wayan Suletra

More information

A Comparison of Two Equivalent Real Formulations for Complex-Valued Linear Systems Part 2: Results

A Comparison of Two Equivalent Real Formulations for Complex-Valued Linear Systems Part 2: Results AMERICAN JOURNAL OF UNDERGRADUATE RESEARCH VOL. 1 NO. () A Comparson of Two Equvalent Real Formulatons for Complex-Valued Lnear Systems Part : Results Abnta Munankarmy and Mchael A. Heroux Department of

More information

Optimal Sizing and Allocation of Residential Photovoltaic Panels in a Distribution Network for Ancillary Services Application

Optimal Sizing and Allocation of Residential Photovoltaic Panels in a Distribution Network for Ancillary Services Application Optmal Szng and Allocaton of Resdental Photovoltac Panels n a Dstrbuton Networ for Ancllary Servces Applcaton Reza Ahmad Kordhel, Student Member, IEEE, S. Al Pourmousav, Student Member, IEEE, Jayarshnan

More information

Assessment of Reliability and Availability of Series-Parallel Sub- Systems

Assessment of Reliability and Availability of Series-Parallel Sub- Systems ISSN -58 (Paer) ISSN 5-5 (Onlne) Vol., No., Assessment of Relablty and Avalablty of Seres-Parallel Sub- Systems Suleman K. Deartment of Mathematcs, Faculty of Scence, Faculty of Scence, Federal Unversty,

More information

Customer witness testing guide

Customer witness testing guide Customer wtness testng gude Ths gude s amed at explanng why we need to wtness test equpment whch s beng connected to our network, what we actually do when we complete ths testng, and what you can do to

More information

Active and Reactive Power Control of DFIG for Wind Energy Conversion Using Back to Back Converters (PWM Technique)

Active and Reactive Power Control of DFIG for Wind Energy Conversion Using Back to Back Converters (PWM Technique) World Essays Journal / 4 (1): 45-50, 2016 2016 Avalable onlne at www. worldessaysj.com Actve and Reactve Power Control of DFIG for Wnd Energy Converson Usng Back to Back Converters (PWM Technque) Mojtaba

More information

A Method Based on Dial's Algorithm for Multi-time Dynamic Traffic Assignment

A Method Based on Dial's Algorithm for Multi-time Dynamic Traffic Assignment Sensors & Transducers, Vol. 66, Issue 3, March 04, pp. 48-54 Sensors & Transducers 04 by IFSA Publshng, S. L. http://www.sensorsportal.com A Method Based on Dal's Algorthm for Mult-tme Dynamc Traffc Assgnment

More information

STAR POWER BOM/BOQ SETTING IDEA 1 - TWIST & SHOUT

STAR POWER BOM/BOQ SETTING IDEA 1 - TWIST & SHOUT Below are two deas for settng your blocks together. Of course, there are dozens more! Take your blocks out to play, and decde on a settng that makes you smle! STAR POWER BOM/BOQ SETTING IDEA 1 - TWIST

More information

Frequency Map Analysis at CesrTA

Frequency Map Analysis at CesrTA Frequency Map Analyss at CesrTA J. Shanks. FREQUENCY MAP ANALYSS A. Overvew The premse behnd Frequency Map Analyss (FMA) s relatvely straghtforward. By samplng turn-by-turn (TBT) data (typcally 2048 turns)

More information

Old text. From Through the Looking Glass by Lewis Carroll. Where is the setting of this place? Describe in your own words.

Old text. From Through the Looking Glass by Lewis Carroll. Where is the setting of this place? Describe in your own words. Old text Read ths extract carefully, then answer, n complete sentences, the questons that follow. For some mnutes Alce stood wthout speakng, lookng out n all drectons over the country and a most curous

More information

Online Reporting. Online Reporting. A step-by-step guide. Important information for churches, schools and organisations

Online Reporting. Online Reporting. A step-by-step guide.   Important information for churches, schools and organisations Onlne Reportng Onlne Reportng A step-by-step gude www.olr.ccl.com Important nformaton for churches, schools and organsatons May 2016 Reportng s a vtal part of beng a lcence holder... Reportng s a requrement

More information

A Lower Bound for τ(n) of Any k-perfect Numbers

A Lower Bound for τ(n) of Any k-perfect Numbers Pure Mathematcal Scences, Vol. 4, 205, no. 3, 99-03 HIKARI Ltd, www.m-har.com http://dx.do.org/0.2988/pms.205.4923 A Lower Bound for τn of Any -Perfect Numbers Keneth Adran P. Dagal Department of Mathematcs

More information

Th P5 13 Elastic Envelope Inversion SUMMARY. J.R. Luo* (Xi'an Jiaotong University), R.S. Wu (UC Santa Cruz) & J.H. Gao (Xi'an Jiaotong University)

Th P5 13 Elastic Envelope Inversion SUMMARY. J.R. Luo* (Xi'an Jiaotong University), R.S. Wu (UC Santa Cruz) & J.H. Gao (Xi'an Jiaotong University) -4 June 5 IFEMA Madrd h P5 3 Elastc Envelope Inverson J.R. Luo* (X'an Jaotong Unversty), R.S. Wu (UC Santa Cruz) & J.H. Gao (X'an Jaotong Unversty) SUMMARY We developed the elastc envelope nverson method.

More information

Source Localization by TDOA with Random Sensor Position Errors - Part II: Mobile sensors

Source Localization by TDOA with Random Sensor Position Errors - Part II: Mobile sensors Source Localzaton by TDOA wth Random Sensor Poston Errors - Part II: Moble sensors Xaome Qu,, Lhua Xe EXOUISITUS, Center for E-Cty, School of Electrcal and Electronc Engneerng, Nanyang Technologcal Unversty,

More information

Weighted Penalty Model for Content Balancing in CATS

Weighted Penalty Model for Content Balancing in CATS Weghted Penalty Model for Content Balancng n CATS Chngwe Davd Shn Yuehme Chen Walter Denny Way Len Swanson Aprl 2009 Usng assessment and research to promote learnng WPM for CAT Content Balancng 2 Abstract

More information

Chess players fame versus their merit

Chess players fame versus their merit Ths artcle s ublshed n Aled Economcs Letters htt://www.tandfonlne.com/do/full/0.080/350485.05.0435 Chess layers fame versus ther mert M.V. Smkn and V.P. Roychowdhury Deartment of Electrcal Engneerng, Unversty

More information

Scheduling for a TTCAN network with a stochastic optimization algorithm

Scheduling for a TTCAN network with a stochastic optimization algorithm Schedulng for a TTCAN network wth a stochastc otmzaton algorthm JosŽ Fonseca*, Fernanda Coutnho**, Jorge Barreros** * ET / IEETA Ð Unversdade de Avero, Portugal ** Insttuto Sueror de Engenhara de Combra,

More information

Wake Up Your Passion & Vitality

Wake Up Your Passion & Vitality Wake Up Your Passon & Vtalty Energy As Your Compass Most women I meet have so many thngs on ther to do lst, most of whch brng them lttle joy or exctement. They are should do s & must do tems for work,

More information

DETERMINATION OF WIND SPEED PROFILE PARAMETERS IN THE SURFACE LAYER USING A MINI-SODAR

DETERMINATION OF WIND SPEED PROFILE PARAMETERS IN THE SURFACE LAYER USING A MINI-SODAR DETERMINATION OF WIND SPEED PROFILE PARAMETERS IN THE SURFACE LAYER USING A MINI-SODAR A. Coppalle, M. Talbaut and F. Corbn UMR 6614 CORIA, Sant Etenne du Rouvray, France INTRODUCTION Recent mprovements

More information

Harmonic Balance of Nonlinear RF Circuits

Harmonic Balance of Nonlinear RF Circuits MICROWAE AND RF DESIGN Harmonc Balance of Nonlnear RF Crcuts Presented by Mchael Steer Readng: Chapter 19, Secton 19. Index: HB Based on materal n Mcrowave and RF Desgn: A Systems Approach, nd Edton, by

More information

A Predictive QoS Control Strategy for Wireless Sensor Networks

A Predictive QoS Control Strategy for Wireless Sensor Networks The 1st Worshop on Resource Provsonng and Management n Sensor Networs (RPMSN '5) n conjuncton wth the 2nd IEEE MASS, Washngton, DC, Nov. 25 A Predctve QoS Control Strategy for Wreless Sensor Networs Byu

More information

Research of Dispatching Method in Elevator Group Control System Based on Fuzzy Neural Network. Yufeng Dai a, Yun Du b

Research of Dispatching Method in Elevator Group Control System Based on Fuzzy Neural Network. Yufeng Dai a, Yun Du b 2nd Internatonal Conference on Computer Engneerng, Informaton Scence & Applcaton Technology (ICCIA 207) Research of Dspatchng Method n Elevator Group Control System Based on Fuzzy Neural Network Yufeng

More information

Study of the Improved Location Algorithm Based on Chan and Taylor

Study of the Improved Location Algorithm Based on Chan and Taylor Send Orders for eprnts to reprnts@benthamscence.ae 58 The Open Cybernetcs & Systemcs Journal, 05, 9, 58-6 Open Access Study of the Improved Locaton Algorthm Based on Chan and Taylor Lu En-Hua *, Xu Ke-Mng

More information

Generalized Incomplete Trojan-Type Designs with Unequal Cell Sizes

Generalized Incomplete Trojan-Type Designs with Unequal Cell Sizes Internatonal Journal of Theoretcal & Appled Scences 6(1): 50-54(2014) ISSN No. (Prnt): 0975-1718 ISSN No. (Onlne): 2249-3247 Generalzed Incomplete Trojan-Type Desgns wth Unequal Cell Szes Cn Varghese,

More information

Figure 1. DC-DC Boost Converter

Figure 1. DC-DC Boost Converter EE46, Power Electroncs, DC-DC Boost Converter Verson Oct. 3, 11 Overvew Boost converters make t possble to effcently convert a DC voltage from a lower level to a hgher level. Theory of Operaton Relaton

More information

DESIGN AND IMPLEMENTATION OF NETWORKED PREDICTIVE CONTROL SYSTEMS. S C Chai, G P Liu and D Rees

DESIGN AND IMPLEMENTATION OF NETWORKED PREDICTIVE CONTROL SYSTEMS. S C Chai, G P Liu and D Rees DESIGN AND IMPLEMENTATION OF NETWORKED PREDICTIVE CONTROL SYSTEMS S C Cha, G P Lu and D Rees School of Electroncs, Unversty of Glamorgan, Pontyrdd CF37 DL, UK Abstract: Ths aer dscusses the desgn and mlementaton

More information

C. G. Cassandras and Y. Geng

C. G. Cassandras and Y. Geng BUILDING A CYBER-PHYSICAL INFRASTRUCTURE FOR THE SMART CITY: THE CASE OF SMART PARKING C. G. Cassandras and Y. Geng Dvson of Systems Engneerng Dept. of Electrcal and Computer Engneerng Center for Informaton

More information

AFV-P 2U/4U. AC + DC Power Solutions. series. Transient Generation for Disturbance Tests. only. High Performance Programmable AC Power Source

AFV-P 2U/4U. AC + DC Power Solutions. series. Transient Generation for Disturbance Tests. only. High Performance Programmable AC Power Source AFV-P seres Hgh Performance Programmable AC Power Source only 2U/4U Intutve Touch Screen HMI Output Frequency up to 15-1000Hz Power Lne Smulatons: Step & Ramp Features Fast Response Tme: 300μs AC Source

More information

Topology Control for C-RAN Architecture Based on Complex Network

Topology Control for C-RAN Architecture Based on Complex Network Topology Control for C-RAN Archtecture Based on Complex Network Zhanun Lu, Yung He, Yunpeng L, Zhaoy L, Ka Dng Chongqng key laboratory of moble communcatons technology Chongqng unversty of post and telecommuncaton

More information

MASTER TIMING AND TOF MODULE-

MASTER TIMING AND TOF MODULE- MASTER TMNG AND TOF MODULE- G. Mazaher Stanford Lnear Accelerator Center, Stanford Unversty, Stanford, CA 9409 USA SLAC-PUB-66 November 99 (/E) Abstract n conjuncton wth the development of a Beam Sze Montor

More information

1 GSW Multipath Channel Models

1 GSW Multipath Channel Models In the general case, the moble rado channel s pretty unpleasant: there are a lot of echoes dstortng the receved sgnal, and the mpulse response keeps changng. Fortunately, there are some smplfyng assumptons

More information

Distributed Uplink Scheduling in EV-DO Rev. A Networks

Distributed Uplink Scheduling in EV-DO Rev. A Networks Dstrbuted Uplnk Schedulng n EV-DO ev. A Networks Ashwn Srdharan (Sprnt Nextel) amesh Subbaraman, och Guérn (ESE, Unversty of Pennsylvana) Overvew of Problem Most modern wreless systems Delver hgh performance

More information

CHAPTER 29 AN EXAMPLE OF THE MONTECARLO SIMULATIONS: THE LANGEVIN DYNAMICS

CHAPTER 29 AN EXAMPLE OF THE MONTECARLO SIMULATIONS: THE LANGEVIN DYNAMICS CHAPTER 9 AN EXAMPLE OF THE MONTECARLO SIMULATIONS: THE LANGEVIN DYNAMICS Objectves After completng the readng of ths chapter, you wll be able to: Construct a polymer chan. Devse a smple MC smulaton program

More information