Nicolas Coulombel ENS Cachan - LVMT :

Size: px
Start display at page:

Download "Nicolas Coulombel ENS Cachan - LVMT :"

Transcription

1 Niclas Culmbel ENS Cachan - LVMT : niclas.culmbel@ens-cachan.fr

2 Eurpean research prject started this year Aims at substantial theretical/practical imprvements Ultimate gal : develping a versin f UrbanSim befitting the Eurpean cntext, UrbanSimE 3 case study Brussels (STRATEC, ETHZ, ) Paris (ENS-Cachan, UCP-Thema,...) Zurich (ETHZ, )

3 French research prject frm 2003 t 2007 calibratin f UrbanSim fr the Greater Paris Regin (Île-de- France) versin 2.0 : gridcells f 500*500m calibratin between years 1990 and 1999 applicatin t the ecnmic assessment f the Tangentielle Nrd, a circular transit prject in the nrth f the Paris area Main difficulties faced by the team gridcells are nt cnsistent at all with French data learning and calibrating UrbanSim is a lengthy prcess, especially mre s if having t switch t a newer versin

4 1. A micr-macr demgraphic mdel 2. Better representatin f the decisin prcess at the husehld level 3. Finding a relevant system f znes 4. A better integratin with the transprtatin mdel

5

6 Leaving parental hme Chabitatin Marriage (r remarriage) Separatin / divrce Live in a cmmunal establishment (r nt) Having a child Death

7 Husehld frmatin Chabitatin Marriage Husehld disslutin Widwhd Divrce Disslutin Equatins fr each event separatin=f(x,β) X : time dependent cvariates (age, child) r nt (gender) β : parameters

8 Clsed, discrete time mdel (step =1 year) Wmen driven (chabitatin, children, separatin) Partner matching Identificatin f father, mther, partner, husehld a new husehld identificatin number is given t each man and each wman when they leave parental hme wmen keep this number all thrugh the simulatin Immigratin Order f events

9

10 Objectives, preferences, cnstraints may differ between husband/wife Tw decisin-makers unitary mdels irrelevant but ne can assume mre cperatin than usually assumed in, e.g., labr market Cllective mdels develped by Pierre-André Chiappri: Paret-ptimal decisins; n restrictins n decisin prcess Chiappri, P.,-A. (1988) : Ratinal husehld labr supply, Ecnmetrica, 56(1), Chiappri, P.,-A. (1992) : Cllective Labr Supply and Welfare, Jurnal f Plitical Ecnmy, 100,

11 Jb pprtunities are fairly different fr husband and wife within a family (despite assrtative mating) cmpute (expected) travel times specific t gender, age, educatin, prfessin, and (endgenus?) mde is chsen HH lcatin Paret-ptimal? relative bargaining pwers measured by respective influence f male/female accessibilities Shrt run/lng run bargaining pwer and nest rder shrt run distance t current jb; Nest Wrkplace Residence lng run accessibility t jbs; Nest Residence Wrkplace, frward-lking

12

13 Ilôts-MOS very fine gegraphic level used fr land-use data Ilôts (52027) quite detailed gegraphic level fr Census data Cmmunes (1300) relevant level fr emplyment data in lwdensity areas TAZ (1289)

14 Residential lcatin mdel Nested chice: Cmmune (r set f Cmmunes), Ilôt Jb lcatin mdel A minima: Cmmune If pssible: ilôt fr dense areas (nly) Real estate price mdel Ilôt r Cmmune depending n available data Land develpment mdel Ilôt-MOS (preferably)

15 «Inclusin» relatinships : Ilôt-MOS TAZ & Cmmune (t be cnfirmed) Ilôt TAZ & Cmmune in mst cases, TAZ Cmmune r Cmmune TAZ in mst cases, Ilôt-MOS Ilôt Main freseeable issues defining neighbrhd fr Ilôt-MOS and Ilôts (strng size hetergeneity) each mdel uses variables frm ther mdels which might be lcated at differing scales Husehld lcatin mdel uses jb accessibility measures Land develpment mdel perates at Ilôt-MOS level and shuld prvide new husing supply at Ilôt level.

16

17 Transprt mdel t UrbanSim the transprt mdel feeds UrbanSim with travel times n particular issue UrbanSim t transprt mdel : 3 pssibilities feed the transprt mdel with znal aggregates f jbs and ppulatin then perfrm the first tw f the 4 steps (generatin and distributin) significant lss f infrmatin use infrmatin n wrkplace at the individual level t generate an activity schedule and infer travel behavir : MATSIM

18 Infrmatin available in UrbanSim ppulatin jbs wrkplace fr emplyed individuals The middle way using wrkplace infrmatin t generate a mrning (evening) hme-wrk O-D matrix cmplete this matrix with standard generatin-distributin prcedures fr ther purpses

CAUSAL INFERENCE. Technical Track Session I. Phillippe Leite. The World Bank

CAUSAL INFERENCE. Technical Track Session I. Phillippe Leite. The World Bank CAUSAL INFERENCE Technical Track Sessin I Phillippe Leite The Wrld Bank These slides were develped by Christel Vermeersch and mdified by Phillippe Leite fr the purpse f this wrkshp Plicy questins are causal

More information

Green economic transformation in Europe: territorial performance, potentials and implications

Green economic transformation in Europe: territorial performance, potentials and implications ESPON Wrkshp: Green Ecnmy in Eurpean Regins? Green ecnmic transfrmatin in Eurpe: territrial perfrmance, ptentials and implicatins Rasmus Ole Rasmussen, NORDREGIO 29 September 2014, Brussels Green Grwth:

More information

Hypothesis Tests for One Population Mean

Hypothesis Tests for One Population Mean Hypthesis Tests fr One Ppulatin Mean Chapter 9 Ala Abdelbaki Objective Objective: T estimate the value f ne ppulatin mean Inferential statistics using statistics in rder t estimate parameters We will be

More information

NUROP CONGRESS PAPER CHINESE PINYIN TO CHINESE CHARACTER CONVERSION

NUROP CONGRESS PAPER CHINESE PINYIN TO CHINESE CHARACTER CONVERSION NUROP Chinese Pinyin T Chinese Character Cnversin NUROP CONGRESS PAPER CHINESE PINYIN TO CHINESE CHARACTER CONVERSION CHIA LI SHI 1 AND LUA KIM TENG 2 Schl f Cmputing, Natinal University f Singapre 3 Science

More information

Optimization Programming Problems For Control And Management Of Bacterial Disease With Two Stage Growth/Spread Among Plants

Optimization Programming Problems For Control And Management Of Bacterial Disease With Two Stage Growth/Spread Among Plants Internatinal Jurnal f Engineering Science Inventin ISSN (Online): 9 67, ISSN (Print): 9 676 www.ijesi.rg Vlume 5 Issue 8 ugust 06 PP.0-07 Optimizatin Prgramming Prblems Fr Cntrl nd Management Of Bacterial

More information

Math Foundations 20 Work Plan

Math Foundations 20 Work Plan Math Fundatins 20 Wrk Plan Units / Tpics 20.8 Demnstrate understanding f systems f linear inequalities in tw variables. Time Frame December 1-3 weeks 6-10 Majr Learning Indicatrs Identify situatins relevant

More information

Design and Simulation of Dc-Dc Voltage Converters Using Matlab/Simulink

Design and Simulation of Dc-Dc Voltage Converters Using Matlab/Simulink American Jurnal f Engineering Research (AJER) 016 American Jurnal f Engineering Research (AJER) e-issn: 30-0847 p-issn : 30-0936 Vlume-5, Issue-, pp-9-36 www.ajer.rg Research Paper Open Access Design and

More information

Technical Bulletin. Generation Interconnection Procedures. Revisions to Cluster 4, Phase 1 Study Methodology

Technical Bulletin. Generation Interconnection Procedures. Revisions to Cluster 4, Phase 1 Study Methodology Technical Bulletin Generatin Intercnnectin Prcedures Revisins t Cluster 4, Phase 1 Study Methdlgy Release Date: Octber 20, 2011 (Finalizatin f the Draft Technical Bulletin released n September 19, 2011)

More information

Floating Point Method for Solving Transportation. Problems with Additional Constraints

Floating Point Method for Solving Transportation. Problems with Additional Constraints Internatinal Mathematical Frum, Vl. 6, 20, n. 40, 983-992 Flating Pint Methd fr Slving Transprtatin Prblems with Additinal Cnstraints P. Pandian and D. Anuradha Department f Mathematics, Schl f Advanced

More information

Land Information New Zealand Topographic Strategy DRAFT (for discussion)

Land Information New Zealand Topographic Strategy DRAFT (for discussion) Land Infrmatin New Zealand Tpgraphic Strategy DRAFT (fr discussin) Natinal Tpgraphic Office Intrductin The Land Infrmatin New Zealand Tpgraphic Strategy will prvide directin fr the cllectin and maintenance

More information

CHAPTER 24: INFERENCE IN REGRESSION. Chapter 24: Make inferences about the population from which the sample data came.

CHAPTER 24: INFERENCE IN REGRESSION. Chapter 24: Make inferences about the population from which the sample data came. MATH 1342 Ch. 24 April 25 and 27, 2013 Page 1 f 5 CHAPTER 24: INFERENCE IN REGRESSION Chapters 4 and 5: Relatinships between tw quantitative variables. Be able t Make a graph (scatterplt) Summarize the

More information

Department of Electrical Engineering, University of Waterloo. Introduction

Department of Electrical Engineering, University of Waterloo. Introduction Sectin 4: Sequential Circuits Majr Tpics Types f sequential circuits Flip-flps Analysis f clcked sequential circuits Mre and Mealy machines Design f clcked sequential circuits State transitin design methd

More information

ENG2410 Digital Design Sequential Circuits: Part B

ENG2410 Digital Design Sequential Circuits: Part B ENG24 Digital Design Sequential Circuits: Part B Fall 27 S. Areibi Schl f Engineering University f Guelph Analysis f Sequential Circuits Earlier we learned hw t analyze cmbinatinal circuits We will extend

More information

INSTRUMENTAL VARIABLES

INSTRUMENTAL VARIABLES INSTRUMENTAL VARIABLES Technical Track Sessin IV Sergi Urzua University f Maryland Instrumental Variables and IE Tw main uses f IV in impact evaluatin: 1. Crrect fr difference between assignment f treatment

More information

Differentiation Applications 1: Related Rates

Differentiation Applications 1: Related Rates Differentiatin Applicatins 1: Related Rates 151 Differentiatin Applicatins 1: Related Rates Mdel 1: Sliding Ladder 10 ladder y 10 ladder 10 ladder A 10 ft ladder is leaning against a wall when the bttm

More information

GENESIS Structural Optimization for ANSYS Mechanical

GENESIS Structural Optimization for ANSYS Mechanical P3 STRUCTURAL OPTIMIZATION (Vl. II) GENESIS Structural Optimizatin fr ANSYS Mechanical An Integrated Extensin that adds Structural Optimizatin t ANSYS Envirnment New Features and Enhancements Release 2017.03

More information

2. Precipitation Chemistry Data

2. Precipitation Chemistry Data STIMATING TH ATMSPHRIC INT A WATRSH INPUT F PLLUTANTS PRRY J. SAMSN epartment f Atmspheric and ceanic Science, University f Michigan, Ann Arbr, All 4819-2143, U.S.A. (Received June 2, 1986; revised March

More information

Aerodynamic Separability in Tip Speed Ratio and Separability in Wind Speed- a Comparison

Aerodynamic Separability in Tip Speed Ratio and Separability in Wind Speed- a Comparison Jurnal f Physics: Cnference Series OPEN ACCESS Aerdynamic Separability in Tip Speed Rati and Separability in Wind Speed- a Cmparisn T cite this article: M L Gala Sants et al 14 J. Phys.: Cnf. Ser. 555

More information

Grade Level: 4 Date: Mon-Fri Time: 1:20 2:20 Topic: Rocks and Minerals Culminating Activity Length of Period: 5 x 1 hour

Grade Level: 4 Date: Mon-Fri Time: 1:20 2:20 Topic: Rocks and Minerals Culminating Activity Length of Period: 5 x 1 hour Lessn Plan Template 1. Lessn Plan Infrmatin Subject/Curse: Science Name: Janne Kmiec Grade Level: 4 Date: Mn-Fri Time: 1:20 2:20 Tpic: Rcks and Minerals Culminating Activity Length f Perid: 5 x 1 hur 2.

More information

ArcWhatever: A Short Explanation of Some ESRI Products

ArcWhatever: A Short Explanation of Some ESRI Products ArcWhatever: A Shrt Explanatin f Sme ESRI Prducts ArcGIS is a cmplete, single, integrated system fr gegraphic data creatin, management, integratin, and analysis. ArcGIS is scalable since it can be deplyed

More information

Evaluating enterprise support: state of the art and future challenges. Dirk Czarnitzki KU Leuven, Belgium, and ZEW Mannheim, Germany

Evaluating enterprise support: state of the art and future challenges. Dirk Czarnitzki KU Leuven, Belgium, and ZEW Mannheim, Germany Evaluating enterprise supprt: state f the art and future challenges Dirk Czarnitzki KU Leuven, Belgium, and ZEW Mannheim, Germany Intrductin During the last decade, mircecnmetric ecnmetric cunterfactual

More information

Lecture 2: Supervised vs. unsupervised learning, bias-variance tradeoff

Lecture 2: Supervised vs. unsupervised learning, bias-variance tradeoff Lecture 2: Supervised vs. unsupervised learning, bias-variance tradeff Reading: Chapter 2 STATS 202: Data mining and analysis September 27, 2017 1 / 20 Supervised vs. unsupervised learning In unsupervised

More information

Math Foundations 10 Work Plan

Math Foundations 10 Work Plan Math Fundatins 10 Wrk Plan Units / Tpics 10.1 Demnstrate understanding f factrs f whle numbers by: Prime factrs Greatest Cmmn Factrs (GCF) Least Cmmn Multiple (LCM) Principal square rt Cube rt Time Frame

More information

Lecture 2: Supervised vs. unsupervised learning, bias-variance tradeoff

Lecture 2: Supervised vs. unsupervised learning, bias-variance tradeoff Lecture 2: Supervised vs. unsupervised learning, bias-variance tradeff Reading: Chapter 2 STATS 202: Data mining and analysis September 27, 2017 1 / 20 Supervised vs. unsupervised learning In unsupervised

More information

Subject description processes

Subject description processes Subject representatin 6.1.2. Subject descriptin prcesses Overview Fur majr prcesses r areas f practice fr representing subjects are classificatin, subject catalging, indexing, and abstracting. The prcesses

More information

MODULE FOUR. This module addresses functions. SC Academic Elementary Algebra Standards:

MODULE FOUR. This module addresses functions. SC Academic Elementary Algebra Standards: MODULE FOUR This mdule addresses functins SC Academic Standards: EA-3.1 Classify a relatinship as being either a functin r nt a functin when given data as a table, set f rdered pairs, r graph. EA-3.2 Use

More information

Section 6-2: Simplex Method: Maximization with Problem Constraints of the Form ~

Section 6-2: Simplex Method: Maximization with Problem Constraints of the Form ~ Sectin 6-2: Simplex Methd: Maximizatin with Prblem Cnstraints f the Frm ~ Nte: This methd was develped by Gerge B. Dantzig in 1947 while n assignment t the U.S. Department f the Air Frce. Definitin: Standard

More information

THE LIFE OF AN OBJECT IT SYSTEMS

THE LIFE OF AN OBJECT IT SYSTEMS THE LIFE OF AN OBJECT IT SYSTEMS Persns, bjects, r cncepts frm the real wrld, which we mdel as bjects in the IT system, have "lives". Actually, they have tw lives; the riginal in the real wrld has a life,

More information

System Non-Synchronous Penetration Definition and Formulation

System Non-Synchronous Penetration Definition and Formulation System Nn-Synchrnus Penetratin Definitin and Frmulatin Operatinal Plicy 27 August 2018 Disclaimer EirGrid as the Transmissin System Operatr (TSO) fr Ireland, and SONI as the TSO fr Nrthern Ireland make

More information

Associated Students Flacks Internship

Associated Students Flacks Internship Assciated Students Flacks Internship 2016-2017 Applicatin Persnal Infrmatin: Name: Address: Phne #: Years at UCSB: Cumulative GPA: E-mail: Majr(s)/Minr(s): Units Cmpleted: Tw persnal references (Different

More information

Purpose: Use this reference guide to effectively communicate the new process customers will use for creating a TWC ID. Mobile Manager Call History

Purpose: Use this reference guide to effectively communicate the new process customers will use for creating a TWC ID. Mobile Manager Call History Purpse: Use this reference guide t effectively cmmunicate the new prcess custmers will use fr creating a TWC ID. Overview Beginning n January 28, 2014 (Refer t yur Knwledge Management System fr specific

More information

Determining the Accuracy of Modal Parameter Estimation Methods

Determining the Accuracy of Modal Parameter Estimation Methods Determining the Accuracy f Mdal Parameter Estimatin Methds by Michael Lee Ph.D., P.E. & Mar Richardsn Ph.D. Structural Measurement Systems Milpitas, CA Abstract The mst cmmn type f mdal testing system

More information

Exam #1. A. Answer any 1 of the following 2 questions. CEE 371 March 10, Please grade the following questions: 1 or 2

Exam #1. A. Answer any 1 of the following 2 questions. CEE 371 March 10, Please grade the following questions: 1 or 2 CEE 371 March 10, 2009 Exam #1 Clsed Bk, ne sheet f ntes allwed Please answer ne questin frm the first tw, ne frm the secnd tw and ne frm the last three. The ttal ptential number f pints is 100. Shw all

More information

Competency Statements for Wm. E. Hay Mathematics for grades 7 through 12:

Competency Statements for Wm. E. Hay Mathematics for grades 7 through 12: Cmpetency Statements fr Wm. E. Hay Mathematics fr grades 7 thrugh 12: Upn cmpletin f grade 12 a student will have develped a cmbinatin f sme/all f the fllwing cmpetencies depending upn the stream f math

More information

CHAPTER 3 INEQUALITIES. Copyright -The Institute of Chartered Accountants of India

CHAPTER 3 INEQUALITIES. Copyright -The Institute of Chartered Accountants of India CHAPTER 3 INEQUALITIES Cpyright -The Institute f Chartered Accuntants f India INEQUALITIES LEARNING OBJECTIVES One f the widely used decisin making prblems, nwadays, is t decide n the ptimal mix f scarce

More information

Power Formulas for Various Energy Resources and Their Application

Power Formulas for Various Energy Resources and Their Application EP@BHS-TOPIC 2: Energy, UNIT2.2: Energy Cnversin and Efficiency Page 1 UNIT 2.2 Energy Cnversin and Efficiency Purpse Once energy resurces are effectively utilized, cnversin t ther frms f energy is necessary

More information

Exam #1. A. Answer any 1 of the following 2 questions. CEE 371 October 8, Please grade the following questions: 1 or 2

Exam #1. A. Answer any 1 of the following 2 questions. CEE 371 October 8, Please grade the following questions: 1 or 2 CEE 371 Octber 8, 2009 Exam #1 Clsed Bk, ne sheet f ntes allwed Please answer ne questin frm the first tw, ne frm the secnd tw and ne frm the last three. The ttal ptential number f pints is 100. Shw all

More information

CPM plans: the short, the medium and the long

CPM plans: the short, the medium and the long plans: the shrt, the medium and the lng Summary f recent prgress Next steps New Test sftware/firmware Slice test/beam test requirements Hw can we use current s? D we need mre new s? rductin testing requirements

More information

Statistical analysis of geospatial information and relevance of SDI s Standards. The Brazilian case

Statistical analysis of geospatial information and relevance of SDI s Standards. The Brazilian case Statistical analysis f gespatial infrmatin and relevance f SDI s Standards Statit The Brazilian case Claudi Stenner Crdinatr f Gegraphy Brazilian Institute f Gegraphy and Statistics - IBGE Internatinal

More information

Building research leadership consortia for Quantum Technology Research Hubs. Call type: Expression of Interest

Building research leadership consortia for Quantum Technology Research Hubs. Call type: Expression of Interest Building research leadership cnsrtia fr Quantum Technlgy Research Hubs Call type: Expressin f Interest Clsing date: 17:00, 07 August 2018 Hw t apply: Expressin f Interest (EI) fr research leaders t attend

More information

Principles of Carbonate Reservoirs

Principles of Carbonate Reservoirs Online In-Service Training and Supprt Prgram Hands-n technical presentatins and exercises, tls, techniques, wrkflws, vide recrdings, and case studies Principles f Carbnate Reservirs Understand the micr

More information

A Correlation of. to the. South Carolina Academic Standards for Mathematics Precalculus

A Correlation of. to the. South Carolina Academic Standards for Mathematics Precalculus A Crrelatin f Suth Carlina Academic Standards fr Mathematics Precalculus INTRODUCTION This dcument demnstrates hw Precalculus (Blitzer), 4 th Editin 010, meets the indicatrs f the. Crrelatin page references

More information

AP Statistics Practice Test Unit Three Exploring Relationships Between Variables. Name Period Date

AP Statistics Practice Test Unit Three Exploring Relationships Between Variables. Name Period Date AP Statistics Practice Test Unit Three Explring Relatinships Between Variables Name Perid Date True r False: 1. Crrelatin and regressin require explanatry and respnse variables. 1. 2. Every least squares

More information

Perfrmance f Sensitizing Rules n Shewhart Cntrl Charts with Autcrrelated Data Key Wrds: Autregressive, Mving Average, Runs Tests, Shewhart Cntrl Chart

Perfrmance f Sensitizing Rules n Shewhart Cntrl Charts with Autcrrelated Data Key Wrds: Autregressive, Mving Average, Runs Tests, Shewhart Cntrl Chart Perfrmance f Sensitizing Rules n Shewhart Cntrl Charts with Autcrrelated Data Sandy D. Balkin Dennis K. J. Lin y Pennsylvania State University, University Park, PA 16802 Sandy Balkin is a graduate student

More information

Emphases in Common Core Standards for Mathematical Content Kindergarten High School

Emphases in Common Core Standards for Mathematical Content Kindergarten High School Emphases in Cmmn Cre Standards fr Mathematical Cntent Kindergarten High Schl Cntent Emphases by Cluster March 12, 2012 Describes cntent emphases in the standards at the cluster level fr each grade. These

More information

FIZIKA ANGOL NYELVEN JAVÍTÁSI-ÉRTÉKELÉSI ÚTMUTATÓ

FIZIKA ANGOL NYELVEN JAVÍTÁSI-ÉRTÉKELÉSI ÚTMUTATÓ Fizika angl nyelven emelt szint 0804 ÉRETTSÉGI VIZSGA 010. május 18. FIZIKA ANGOL NYELVEN EMELT SZINTŰ ÍRÁSBELI ÉRETTSÉGI VIZSGA JAVÍTÁSI-ÉRTÉKELÉSI ÚTMUTATÓ OKTATÁSI ÉS KULTURÁLIS MINISZTÉRIUM In marking

More information

Accreditation Information

Accreditation Information Accreditatin Infrmatin The ISSP urges members wh have achieved significant success in the field t apply fr higher levels f membership in rder t enjy the fllwing benefits: - Bth Prfessinal members and Fellws

More information

Appendix A: Mathematics Unit

Appendix A: Mathematics Unit Appendix A: Mathematics Unit 16 Delaware Mdel Unit Gallery Template This unit has been created as an exemplary mdel fr teachers in (re)design f curse curricula. An exemplary mdel unit has undergne a rigrus

More information

Analysis of Curved Bridges Crossing Fault Rupture Zones

Analysis of Curved Bridges Crossing Fault Rupture Zones Analysis f Curved Bridges Crssing Fault Rupture Znes R.K.Gel, B.Qu & O.Rdriguez Dept. f Civil and Envirnmental Engineering, Califrnia Plytechnic State University, San Luis Obisp, CA 93407, USA SUMMARY:

More information

Module 4: General Formulation of Electric Circuit Theory

Module 4: General Formulation of Electric Circuit Theory Mdule 4: General Frmulatin f Electric Circuit Thery 4. General Frmulatin f Electric Circuit Thery All electrmagnetic phenmena are described at a fundamental level by Maxwell's equatins and the assciated

More information

ASSESSMENT OF REGIONAL EFFICIENCY IN CROATIA USING DATA ENVELOPMENT ANALYSIS

ASSESSMENT OF REGIONAL EFFICIENCY IN CROATIA USING DATA ENVELOPMENT ANALYSIS ASSESSMENT OF REGIONAL EFFICIENCY IN CROATIA USING DATA ENVELOPMENT ANALYSIS Danijela Rabar Juraj Dbrila University f Pula Department f Ecnmics and Turism Dr. Mij Mirkvić Preradvićeva 1, 52 100 Pula, Cratia

More information

Misc. ArcMap Stuff Andrew Phay

Misc. ArcMap Stuff Andrew Phay Misc. ArcMap Stuff Andrew Phay aphay@whatcmcd.rg Prjectins Used t shw a spherical surface n a flat surface Distrtin Shape Distance True Directin Area Different Classes Thse that minimize distrtin in shape

More information

Chapter 3: Cluster Analysis

Chapter 3: Cluster Analysis Chapter 3: Cluster Analysis } 3.1 Basic Cncepts f Clustering 3.1.1 Cluster Analysis 3.1. Clustering Categries } 3. Partitining Methds 3..1 The principle 3.. K-Means Methd 3..3 K-Medids Methd 3..4 CLARA

More information

Intelligent Pharma- Chemical and Oil & Gas Division Page 1 of 7. Global Business Centre Ave SE, Calgary, AB T2G 0K6, AB.

Intelligent Pharma- Chemical and Oil & Gas Division Page 1 of 7. Global Business Centre Ave SE, Calgary, AB T2G 0K6, AB. Intelligent Pharma- Chemical and Oil & Gas Divisin Page 1 f 7 Intelligent Pharma Chemical and Oil & Gas Divisin Glbal Business Centre. 120 8 Ave SE, Calgary, AB T2G 0K6, AB. Canada Dr. Edelsys Cdrniu-Business

More information

History the Hood Way. Amy Shell-Gellasch Betty Mayfield Hood College. MD-DC-VA Section October 27, 2012

History the Hood Way. Amy Shell-Gellasch Betty Mayfield Hood College. MD-DC-VA Section October 27, 2012 Histry the Hd Way Amy Shell-Gellasch Betty Mayfield Hd Cllege MD-DC-VA Sectin Octber 27, 2012 Weaving histry int the majr Mathematics as part f the liberal arts Frm the Department s Missin Statement: Students

More information

Chapter 1 Notes Using Geography Skills

Chapter 1 Notes Using Geography Skills Chapter 1 Ntes Using Gegraphy Skills Sectin 1: Thinking Like a Gegrapher Gegraphy is used t interpret the past, understand the present, and plan fr the future. Gegraphy is the study f the Earth. It is

More information

RN52-STK2 Starter Kit

RN52-STK2 Starter Kit The RN52-STK2 Starter Kit has everything yu need t kick-start yur prject and is a great tl fr develpers: Prf f cncept prttypes as well as final cmmercial slutins. fr educatinal use: Natural sciences curses

More information

SUPPLEMENTARY MATERIAL GaGa: a simple and flexible hierarchical model for microarray data analysis

SUPPLEMENTARY MATERIAL GaGa: a simple and flexible hierarchical model for microarray data analysis SUPPLEMENTARY MATERIAL GaGa: a simple and flexible hierarchical mdel fr micrarray data analysis David Rssell Department f Bistatistics M.D. Andersn Cancer Center, Hustn, TX 77030, USA rsselldavid@gmail.cm

More information

LCA14-206: Scheduler tooling and benchmarking. Tue-4-Mar, 11:15am, Zoran Markovic, Vincent Guittot

LCA14-206: Scheduler tooling and benchmarking. Tue-4-Mar, 11:15am, Zoran Markovic, Vincent Guittot LCA14-206: Scheduler tling and benchmarking Tue-4-Mar, 11:15am, Zran Markvic, Vincent Guittt Scheduler Tls and Benchmarking Frm Energy Aware mini-summit @ Ksummit 2013 extract frm [1]: Ing Mlnar came in

More information

Millburn ASG Numeracy Developmental Milestones

Millburn ASG Numeracy Developmental Milestones Millburn ASG Numeracy Develpmental Milestnes Acknwledgement The Millburn Assciated Schls Grup (ASG) Numeracy Develpmental Milestnes have been develped using the Highland Numeracy Prgressin and wrk by Educatin

More information

Lab 1 The Scientific Method

Lab 1 The Scientific Method INTRODUCTION The fllwing labratry exercise is designed t give yu, the student, an pprtunity t explre unknwn systems, r universes, and hypthesize pssible rules which may gvern the behavir within them. Scientific

More information

Excessive Social Imbalances and the Performance of Welfare States in the EU. Frank Vandenbroucke, Ron Diris and Gerlinde Verbist

Excessive Social Imbalances and the Performance of Welfare States in the EU. Frank Vandenbroucke, Ron Diris and Gerlinde Verbist Excessive Scial Imbalances and the Perfrmance f Welfare States in the EU Frank Vandenbrucke, Rn Diris and Gerlinde Verbist Child pverty in the Eurzne, SILC 2008 35.00 30.00 25.00 20.00 15.00 10.00 5.00.00

More information

Level One: What new technologies were introduced during the Industrial Revolution? (5 points)

Level One: What new technologies were introduced during the Industrial Revolution? (5 points) Tpic One: AZSS. S2. C6. PO6: Industrial Revlutin Level One: What new technlgies were intrduced during the Industrial Revlutin? (5 pints) Respnse (5 pts.) Respnse Descriptin: This respnse shuld list at

More information

Report on experiences abroad. Study semester at the Higher School of Economics, Moscow, Russia

Report on experiences abroad. Study semester at the Higher School of Economics, Moscow, Russia Reprt n experiences abrad Study semester at the Higher Schl f Ecnmics, Mscw, Russia Summer term 2005 (March July 2005) By Nicle Petrick Idea The idea f spending ne semester in Russia develped already a

More information

Resampling Methods. Chapter 5. Chapter 5 1 / 52

Resampling Methods. Chapter 5. Chapter 5 1 / 52 Resampling Methds Chapter 5 Chapter 5 1 / 52 1 51 Validatin set apprach 2 52 Crss validatin 3 53 Btstrap Chapter 5 2 / 52 Abut Resampling An imprtant statistical tl Pretending the data as ppulatin and

More information

Snow avalanche runout from two Canadian mountain ranges

Snow avalanche runout from two Canadian mountain ranges Annals f Glacilgy 18 1993 Internati n al Glaciigicai Sciety Snw avalanche runut frm tw Canadian muntain ranges D.J. NIXON AND D. M. MCCLUNG Department f Civil Engineering, University f British Clumbia,

More information

Five Whys How To Do It Better

Five Whys How To Do It Better Five Whys Definitin. As explained in the previus article, we define rt cause as simply the uncvering f hw the current prblem came int being. Fr a simple causal chain, it is the entire chain. Fr a cmplex

More information

Quantum Computing Algorithms for optimised Planning & Scheduling (QCAPS)

Quantum Computing Algorithms for optimised Planning & Scheduling (QCAPS) Quantum Cmputing Algrithms fr ptimised Planning & Scheduling (QCAPS) Qubits Eurpe 2019 cnference Dr Rbert Desimne March 2019 1 Cpyright 2019 BAE Systems. All Rights Reserved. QCAPS Quantum cmputing algrithms

More information

NWC SAF ENTERING A NEW PHASE

NWC SAF ENTERING A NEW PHASE NWC SAF ENTERING A NEW PHASE Pilar Fernández Agencia Estatal de Meterlgía (AEMET) Lenard Priet Castr, 8; 28040 Madrid, Spain Phne: +34 915 819 654, Fax: +34 915 819 767 E-mail: mafernandeza@aemet.es Abstract

More information

the results to larger systems due to prop'erties of the projection algorithm. First, the number of hidden nodes must

the results to larger systems due to prop'erties of the projection algorithm. First, the number of hidden nodes must M.E. Aggune, M.J. Dambrg, M.A. El-Sharkawi, R.J. Marks II and L.E. Atlas, "Dynamic and static security assessment f pwer systems using artificial neural netwrks", Prceedings f the NSF Wrkshp n Applicatins

More information

A Quick Overview of the. Framework for K 12 Science Education

A Quick Overview of the. Framework for K 12 Science Education A Quick Overview f the NGSS EQuIP MODULE 1 Framewrk fr K 12 Science Educatin Mdule 1: A Quick Overview f the Framewrk fr K 12 Science Educatin This mdule prvides a brief backgrund n the Framewrk fr K-12

More information

Uncertainties in TRP Measurements Due to Finite Range Lengths

Uncertainties in TRP Measurements Due to Finite Range Lengths Uncertainties in TRP Measurements Due t Finite Range Lengths James D Huff Carl W Sirles The Hwland Cmpany, Inc 4540 Atwater Curt, Suite 107 Bufrd, Gergia 30518 Abstract Ttal Radiated Pwer (TRP) and Ttal

More information

Web-based GIS Systems for Radionuclides Monitoring. Dr. Todd Pierce Locus Technologies

Web-based GIS Systems for Radionuclides Monitoring. Dr. Todd Pierce Locus Technologies Web-based GIS Systems fr Radinuclides Mnitring Dr. Tdd Pierce Lcus Technlgies Lcus Technlgies 2014 Overview What is the prblem? Nuclear pwer plant peratrs need t mnitr radinuclides t safeguard the envirnment

More information

Getting Involved O. Responsibilities of a Member. People Are Depending On You. Participation Is Important. Think It Through

Getting Involved O. Responsibilities of a Member. People Are Depending On You. Participation Is Important. Think It Through f Getting Invlved O Literature Circles can be fun. It is exciting t be part f a grup that shares smething. S get invlved, read, think, and talk abut bks! Respnsibilities f a Member Remember a Literature

More information

Eric Klein and Ning Sa

Eric Klein and Ning Sa Week 12. Statistical Appraches t Netwrks: p1 and p* Wasserman and Faust Chapter 15: Statistical Analysis f Single Relatinal Netwrks There are fur tasks in psitinal analysis: 1) Define Equivalence 2) Measure

More information

This project has received funding from the European Union s Horizon 2020 research and innovation programme under grant agreement number

This project has received funding from the European Union s Horizon 2020 research and innovation programme under grant agreement number This prject has received funding frm the Eurpean Unin s Hrizn 2020 research and innvatin prgramme under grant agreement number 727524. Credit t & http://www.h3uni.rg/ https://ec.eurpa.eu/jrc/en/publicatin/eur-scientific-andtechnical-research-reprts/behaviural-insights-appliedplicy-eurpean-reprt-2016

More information

Sections 15.1 to 15.12, 16.1 and 16.2 of the textbook (Robbins-Miller) cover the materials required for this topic.

Sections 15.1 to 15.12, 16.1 and 16.2 of the textbook (Robbins-Miller) cover the materials required for this topic. Tpic : AC Fundamentals, Sinusidal Wavefrm, and Phasrs Sectins 5. t 5., 6. and 6. f the textbk (Rbbins-Miller) cver the materials required fr this tpic.. Wavefrms in electrical systems are current r vltage

More information

Weathering. Title: Chemical and Mechanical Weathering. Grade Level: Subject/Content: Earth and Space Science

Weathering. Title: Chemical and Mechanical Weathering. Grade Level: Subject/Content: Earth and Space Science Weathering Title: Chemical and Mechanical Weathering Grade Level: 9-12 Subject/Cntent: Earth and Space Science Summary f Lessn: Students will test hw chemical and mechanical weathering can affect a rck

More information

[COLLEGE ALGEBRA EXAM I REVIEW TOPICS] ( u s e t h i s t o m a k e s u r e y o u a r e r e a d y )

[COLLEGE ALGEBRA EXAM I REVIEW TOPICS] ( u s e t h i s t o m a k e s u r e y o u a r e r e a d y ) (Abut the final) [COLLEGE ALGEBRA EXAM I REVIEW TOPICS] ( u s e t h i s t m a k e s u r e y u a r e r e a d y ) The department writes the final exam s I dn't really knw what's n it and I can't very well

More information

1.1 The main transmission network of Eskom The classical two generator model 11

1.1 The main transmission network of Eskom The classical two generator model 11 LIST OF FIGURS Figure Page 1.1 The main transmissin netwrk f skm 4 2.1 The classical tw generatr mdel 11 2.2 Obtaining the lcatin f the electrical centre. The line cnnecting A with B represents the netwrk

More information

Chapter 5: The Keynesian System (I): The Role of Aggregate Demand

Chapter 5: The Keynesian System (I): The Role of Aggregate Demand LECTURE NOTES Chapter 5: The Keynesian System (I): The Rle f Aggregate Demand 1. The Prblem f Unemplyment Keynesian ecnmics develped in the cntext f the Great Depressin Sharp fall in GDP High rate f unemplyment

More information

Low growth, institutions and the need for a new regional policy

Low growth, institutions and the need for a new regional policy 12.març.2018 Reitria da Universidade Nva de Lisba Cfinanciad pr Cfinanced by Lw grwth, institutins and the need fr a new reginal plicy Andrés Rdríguez-Pse Lndn Schl f Ecnmics 1 Sustained lw grwth 3 12

More information

In the OLG model, agents live for two periods. they work and divide their labour income between consumption and

In the OLG model, agents live for two periods. they work and divide their labour income between consumption and 1 The Overlapping Generatins Mdel (OLG) In the OLG mdel, agents live fr tw perids. When ung the wrk and divide their labur incme between cnsumptin and savings. When ld the cnsume their savings. As the

More information

ENSC Discrete Time Systems. Project Outline. Semester

ENSC Discrete Time Systems. Project Outline. Semester ENSC 49 - iscrete Time Systems Prject Outline Semester 006-1. Objectives The gal f the prject is t design a channel fading simulatr. Upn successful cmpletin f the prject, yu will reinfrce yur understanding

More information

Applied Structural Geology in Exploration and Mining: A Practical Workshop

Applied Structural Geology in Exploration and Mining: A Practical Workshop 1 Applied Structural Gelgy in Explratin and Mining: A Practical Wrkshp Overview Presenter: Lcatin: SRK Kazakhstan SRK Kazakhstan SRK Cnsulting (Kazakhstan) Ltd 2015. All rights Wrkshp Intrductin 2 Technical

More information

Internal vs. external validity. External validity. This section is based on Stock and Watson s Chapter 9.

Internal vs. external validity. External validity. This section is based on Stock and Watson s Chapter 9. Sectin 7 Mdel Assessment This sectin is based n Stck and Watsn s Chapter 9. Internal vs. external validity Internal validity refers t whether the analysis is valid fr the ppulatin and sample being studied.

More information

ROUNDING ERRORS IN BEAM-TRACKING CALCULATIONS

ROUNDING ERRORS IN BEAM-TRACKING CALCULATIONS Particle Acceleratrs, 1986, Vl. 19, pp. 99-105 0031-2460/86/1904-0099/$15.00/0 1986 Grdn and Breach, Science Publishers, S.A. Printed in the United States f America ROUNDING ERRORS IN BEAM-TRACKING CALCULATIONS

More information

Checking the resolved resonance region in EXFOR database

Checking the resolved resonance region in EXFOR database Checking the reslved resnance regin in EXFOR database Gttfried Bertn Sciété de Calcul Mathématique (SCM) Oscar Cabells OECD/NEA Data Bank JEFF Meetings - Sessin JEFF Experiments Nvember 0-4, 017 Bulgne-Billancurt,

More information

initially lcated away frm the data set never win the cmpetitin, resulting in a nnptimal nal cdebk, [2] [3] [4] and [5]. Khnen's Self Organizing Featur

initially lcated away frm the data set never win the cmpetitin, resulting in a nnptimal nal cdebk, [2] [3] [4] and [5]. Khnen's Self Organizing Featur Cdewrd Distributin fr Frequency Sensitive Cmpetitive Learning with One Dimensinal Input Data Aristides S. Galanpuls and Stanley C. Ahalt Department f Electrical Engineering The Ohi State University Abstract

More information

First Survey. Carried out by IPR feedback

First Survey. Carried out by IPR feedback First Survey Carried ut by IPR feedback Hell my name is and I am calling frm IPR Feedback. IPR Feedback is a research center hired by Bccni University t study the pinins f the citizens f Arezz regarding

More information

Samples. Lutum+Tappert DV-Beratung GmbH

Samples. Lutum+Tappert DV-Beratung GmbH Samples Lutum+Tappert DV-Beratung GmbH EasyMap Cmments abut prvided sample maps Please pen ne f the prvided sample maps by pinting n SAMPLES n the HELP menu (?) after starting EasyMap. Then, select ne

More information

MEASUREMENT OF MECHANICAL LOSSES IN THE COMBUSTION ENGINES

MEASUREMENT OF MECHANICAL LOSSES IN THE COMBUSTION ENGINES Jurnal f KONES Pwertrain and Transprt, Vl. 17, N. 3 2010 MEASUREMENT OF MECHANICAL LOSSES IN THE COMBUSTION ENGINES Ond ej Dráb, Rbert Vženílek, Stanislav Berun Technical University f Liberec, Department

More information

Operational Use of the Model Crocus

Operational Use of the Model Crocus Operatinal Use f the Mdel Crcus by French Avalanche Frecast Services E.Brun Meterlgie Natinale Centre d'etudes de la Neige BP 44 Dmaine Universitaire 3842 St-Martin d 'eres France ntrductin Since 1971

More information

Simulation of Line Outage Distribution Factors (L.O.D.F) Calculation for N-Buses System

Simulation of Line Outage Distribution Factors (L.O.D.F) Calculation for N-Buses System Simulatin f Line Outage Distributin Factrs (L.O.D.F) Calculatin fr N-Buses System Rashid H. AL-Rubayi Department f Electrical Engineering, University f Technlgy Afaneen A. Abd Department f Electrical Engineering,

More information

Absolute Precision in Particle Size Analysis

Absolute Precision in Particle Size Analysis Abslute Precisin in Particle Size Analysis Authr: Dr Graham Rideal Funder and Senir Scientist Whitehuse Scientific Ltd Summary Abslute precisin in particle size analysis can nly be achieved when the tw

More information

The Road Closure Decision in Little Cottonwood Canyon

The Road Closure Decision in Little Cottonwood Canyon The Rad Clsure Decisin in Little Cttnwd Canyn Gail Blattenberger and llichard Fwles - University f Utah * Nvember 1, 1994 Abstract Statistical mdels f different types have been used in avalanche frecasting.

More information

Churn Prediction using Dynamic RFM-Augmented node2vec

Churn Prediction using Dynamic RFM-Augmented node2vec Churn Predictin using Dynamic RFM-Augmented nde2vec Sandra Mitrvić, Jchen de Weerdt, Bart Baesens & Wilfried Lemahieu Department f Decisin Sciences and Infrmatin Management, KU Leuven 18 September 2017,

More information

3. Design of Channels General Definition of some terms CHAPTER THREE

3. Design of Channels General Definition of some terms CHAPTER THREE CHAPTER THREE. Design f Channels.. General The success f the irrigatin system depends n the design f the netwrk f canals. The canals may be excavated thrugh the difference types f sils such as alluvial

More information

You need to be able to define the following terms and answer basic questions about them:

You need to be able to define the following terms and answer basic questions about them: CS440/ECE448 Sectin Q Fall 2017 Midterm Review Yu need t be able t define the fllwing terms and answer basic questins abut them: Intr t AI, agents and envirnments Pssible definitins f AI, prs and cns f

More information

Inflow Control on Expressway Considering Traffic Equilibria

Inflow Control on Expressway Considering Traffic Equilibria Memirs f the Schl f Engineering, Okayama University Vl. 20, N.2, February 1986 Inflw Cntrl n Expressway Cnsidering Traffic Equilibria Hirshi INOUYE* (Received February 14, 1986) SYNOPSIS When expressway

More information