OPTIMALLY EFFICIENT MULTI AUTHORITY SECRET BALLOT E-ELECTION SCHEME

Size: px
Start display at page:

Download "OPTIMALLY EFFICIENT MULTI AUTHORITY SECRET BALLOT E-ELECTION SCHEME"

Transcription

1 OPTIMALLY EFFICIENT MULTI AUTHORITY SECRET BALLOT E-ELECTION SCHEME G. Aja Babu, 2 D. M. Padmavathamma Lectue i Compute Sciece, S.V. Ats College fo Me, Tiupati, Idia 2 Head, Depatmet of Compute Applicatio. S.V.Uivesity, Tiupati, Idia [email protected] ABSTRACT A electoic votig scheme is a set of potocols that allow a collectio of votes to cost thei votes, while eablig a collectio of authoities to collect votes, compute the fial tally, ad commuicate the fial tally that is checked by tallies. This scheme is based o the RSA ad factoig assumptios. We apply the potocols of [CDS 88] to Guillo Quisate s idetificatio potocol [GQ 88] to costat poofs of validity fo ballots.. INTRODUCTION: A electoic scheme is a set of potocols that allow a collectio of votes to cost thei votes, while eablig a collectio of authoities to collect votes, compute the fial tally, ad commuicate the fial tally that is checked by tallies. I cyptogaphic liteatue o votig schemes, thee impotat euiemets ae idetified. Pivacy: A system maitais pivacy if:. Neithe electio authoities o ay oe ca lik ay ballot to the vote who cost it. 2. No votes ca pove that he o she voted i a paticula way. Veifiability: A system is veifiable if all votes ca idepedetly veify that thei votes have bee couted coectly without sacificig pivacy. I additio each vote must be able to veify the fial esults of the tally. Robustess: A system is obust if it esues that all the system ca ecove fom the faulty behavio of ay (easoably sized) locatio of paties. The mai cotibutio of this pape is pesetig a efficiet votig scheme that satisfies uivesal veifiability pivacy ad obustess. 2. OVERVIEW OF THE APPROACH The paties i a votig scheme ae modeled as pobabilistic polyomial time pocess. Two meas of commuicatio ae typically assumed to be available fo these paties. A bulleti boad: The commuicatio model euied fo ou electio scheme is viewed as a public boadcast chael with memoy, which is called a bulleti boad. All the commuicatios though the bulleti boad is public ad ca be ead by ay paty (icludig passive obseves). No paty ca ease ay ifomatio fom the bulleti boad. Pivate chaels:

2 To suppot pivate commuicatio betwee votes ad authoities. Fo this task ay secue public key ecyptio scheme is suitable. The paties of the votig scheme pefom the followig steps to eecute a electio. To cast a vote, each vote costucts a ballot as a ecyptio of the desied vote ad post the ballot to the bulleti boad. At his poit, a poof of validity is also euied that covices all paties that the posted ecyptio cotais a valid vote, without evealig it. The auhoities, how eve, ae able to decypt the ballots (because of the eta ifomatio eceived fom the vote though the pivate chael). I the ed, the fial tally is published togethe with some auiliay ifomatio to eable uivesal veifiability. Moe techically, uivesal veifiability is achieved by euiig the ecyptio fuctio to be suitably homomophic. Cetal to ou esults is the way we achieve a efficiet poof of validity fo ballots. The poof of validity shows t ay iteested paty that a ballot actually epeset a vote e.g., that it eithe epesets a yes o a o, ad othig else. To maitai pivacy fo the votes, the geeal idea is to use some sot of zeo kowledge poof. The poblem is howeve that ZK poofs usually euie a lage umbe of epetitios befoe the desied level of cofidece is achieved. The efficiecy of the whole scheme is iflueces by these poofs. Ou cotibutio ow is two fold. We use a paticula efficiet homomophic ecyptio scheme, based o -th esiduay assumptio. a umbe is a -th esidue modulo if thee eists a α such that α (mod ), moeove, by applyig the esults fom [CDS 94], the poof of validity is simple thee move potocol which is witess idistiguisible ( i fact, witess hidig as well). Istead of ZK poofs. 3. CRYPTOGRAPHIC PRIMITIVES We implemet ou electio based o -th esiduosity assumptio. A umbe is a -th esidue modulo if thee eists a α such that α (mod N). Homomophic Ecyptio with Efficiet Poof of Validity: Iitializatio: Iitialized the paametes of the scheme ae a modulus N, Which is a poduct of two lage pimes, a pime with gcd (, Ф (N)). Also a elemet h Є Z * N - ae available to all paties. The fied umbe h is ot a -th esidue modulo N. Ecyptio: A paticipat ecypts V by choosig α Є R Z N ad computes B α h v. Opeig: A paticipat ca late ope B by evealig v ad α. A veifyig paty the checks whethe B α h v ad accepts v as the ecypted value. Homomophic popety: Ecyptio is homophic i the sese that; if B ad B 2 ae ecyptios of v ad v 2 espectively, the B.B 2 is a ecyptio of (v +v 2 ) mod. Poof of kowledge fo -th esiduosity: Usig theotatios above, we peset poof of kowledge fo -th esiduosity, whee by a pope shows possessio of a α Є Z satisfyig α. 2

3 PROTOCOL [ α ] Pove Veifie W Є R Z * N A w a C Є R Z c w α c Figue-? a c Theoem: : The above potocol is a thee moe public coi poof of kowledge fo -th esiduosity. The poof satisfies special soud ess ad special hoest veifie zeo kowledge. Poof: Special soudess ow holds because fo ay two acceptig covesatios (a,,) ad (a, c, ), c > c, it follows that c c. Sice 0 < c c <, we have that thee eist iteges tems k, such that (c c ) k l. Hece k k k ( c c ). l l 3

4 k which is cotadictio to the -th esiduosity assumptio. Futhe moe, by the esult of [CDS 94], the potocol of fig(2), i a poof of kowledge that a vote kows -th esidue of B (Bh) o. Thus the veifie leas that the h VOTER Joual of Theoetical ad Applied Ifomatio Techology V V- PROTOCOL-2 vote kows α ad v {, -} such that B α h v without obtaiig ay ifomatio about actual value of v. Poof of validity: i ou votig scheme to follow, it will be the case that a vote posts a ecyptio of a value v Є {, -}. To demostate that the ecypted value is ideed is {, -} without evealig it, the vote ad the veifie eecute the followig efficiet poof of validity. VERIFIER α,, d, w 2 Є Z B α. h a (Bh) d α, 2, d 2, w Є R Z B α / h a w a 2 w 2 a 2 2 B d 2. h B, a, a 2 C C Є R Z d 2 c - d d c - d 2 2 w 2. α d 2 w. α d d, d 2,, 2 d + d 2 c a (Bh) d (Figue 2) 2 B d 2. h 4

5 Veifiable secet shaig: To achieve obustess efficietly, o iteactive veifiable secet shaig, efficiet solutio fo out of case is possible ca apply. Ude the -th esidusity assumptio, ou electio scheme satisfies uivesal veifiability, obustess ad pivacy. 4. SECRET BALLOT ELECTION SCHEME We ow peset ou mai esult, a secet ballot electio scheme. The paticipat i the electio scheme ae authoities. A, A 2,., A ad m votes V, V 2,.V m. The scheme woks as follows: Each vote V i pepaes a vote by adomly selectig b i {,-}. The vote fist b ecypts b i by computig B i α i i. h, whee α i Z is chose adomly, ad post B i to the bulleti boad. Subseuetly b i is cosideed as a secet which is to be shaed amog the authoities. The vote also posts poof (B i ). I the ed the aggegate value T b i educed i l module epeset the esult of the electio. Ballot Costuctio ad Vote costig : Each vote V i posts b i {,-}. I the followig.. The vote adomly chooses b i {,-} ad computes B i α i., the vote also computes poof of (B i ) also the vote computes. bi h B i (α i ) bi h, < l < 2. The vote posts B i, poof (B i ), B i, B i2,., B i to the bulleti boad. 3. All paticipats veify which the ballot B i is coectly fomed by checkig poof of (B i ). 4. The vote chooses the shaes (a ij, b ij ) Whee i l b ij j l a ij Seds (a ij, b ij ) to the authoity a j usig a pivate chael. 5. Each authoity checks the eceived shaes (a ij, b ij ) by usig that (a ij ) h b ij B ij. Tallyig : Each authoity A j posts S j, T j ad seds to the bulletei b m S j i l b i α a ij, T j ij i l Each tallie checks the shae (S j, T j ) posted by A j by veifyig that S j. m T h j i l ( B ij ) The fial stage is the tally itself. Let us deote as A {j T j is coect}. The tally is the itepolatio of the polyomial ad may be calculated as T j A T j l A{ j} l l We assume that i the successful electio, the shaes of evey vote have bee accepted by all authoities. i.e., all veificatio by j i 5

6 the authoities i the last step of the ballot costuctio is successful. I case a authoity eceives a false shae, the authoity may post the shae so that ay body ca veify that shae is ot coect ad that it coespods to the posted ecyptio of step (4) i the ballot costuctio. Theoem: 2 Ude the -th esiduosity assumptio, ou electio scheme saties uivesial veifiability, obustess ad pivacy. Poof: To pove uivesal veifiability, fist ote that oly ballots ae cotact o accout of theoem (). Futhe the fial tally is coect, if the step (2) of the tallyig holds fo all authoities. This deals with uivesal veifiability ad obustess. The pivacy popety ca easily pove fom the fact that the secet shaig scheme used ad the poof of validity (potocol) ae ifomatio theoetical scheme. 5. CONCLUSION We have show a vey efficiet scheme fo secue electio based o -th esiduosity assumptio. The scheme satisfies well-kow euiemets pivacy, uivesal veifiability ad obustess. [2]. [CDS-94] R.CRAMER, I. DAMGARD, AND B. SCHOENMAKERS. [3]. Poofs of patial kowledge ad simplified desig of witess hidig potocols. I Advaces I Cyptology CRYPTO 94. Volume 839 of Lectue Notes I Compute Sciece, pages 74 87, BERLIN, 994.Spige Velag. [4]. [CFSY 96] R.CRAMER, M. FRANKLIN, B. SCHOENMAKERS AND M.YUNG. [5]. Multi authoity secet ballot electios with liea wok. I Advaces I Cyptology EUROCRYPT 96, Volume 070 of Lectue Notes I Compute Sciece, pages 72 83, BERLIN, 996. Spige Velag. REFERENCES []. [BEN 87a] J. Bealoh. Cyptogaphic capsules: A disjuctive pimitive fo iteactive potocols. I advaces i cyptology CRYPTO 86, Volume 263 Of Lectue Notes I Compute Sciece, pages , BERLIN, 987. Spige Velag. 6

Periodic Review Probabilistic Multi-Item Inventory System with Zero Lead Time under Constraints and Varying Order Cost

Periodic Review Probabilistic Multi-Item Inventory System with Zero Lead Time under Constraints and Varying Order Cost Ameica Joual of Applied Scieces (8: 3-7, 005 ISS 546-939 005 Sciece Publicatios Peiodic Review Pobabilistic Multi-Item Ivetoy System with Zeo Lead Time ude Costaits ad Vayig Ode Cost Hala A. Fegay Lectue

More information

On the Optimality and Interconnection of Valiant Load-Balancing Networks

On the Optimality and Interconnection of Valiant Load-Balancing Networks O the Optimality ad Itecoectio of Valiat Load-Balacig Netwoks Moshe Babaioff ad Joh Chuag School of Ifomatio Uivesity of Califoia at Bekeley Bekeley, Califoia 94720 4600 {moshe,chuag}@sims.bekeley.edu

More information

The dinner table problem: the rectangular case

The dinner table problem: the rectangular case The ie table poblem: the ectagula case axiv:math/009v [mathco] Jul 00 Itouctio Robeto Tauaso Dipatimeto i Matematica Uivesità i Roma To Vegata 00 Roma, Italy tauaso@matuiomait Decembe, 0 Assume that people

More information

Understanding Financial Management: A Practical Guide Guideline Answers to the Concept Check Questions

Understanding Financial Management: A Practical Guide Guideline Answers to the Concept Check Questions Udestadig Fiacial Maagemet: A Pactical Guide Guidelie Aswes to the Cocept Check Questios Chapte 4 The Time Value of Moey Cocept Check 4.. What is the meaig of the tems isk-etu tadeoff ad time value of

More information

Two degree of freedom systems. Equations of motion for forced vibration Free vibration analysis of an undamped system

Two degree of freedom systems. Equations of motion for forced vibration Free vibration analysis of an undamped system wo degee of feedom systems Equatios of motio fo foced vibatio Fee vibatio aalysis of a udamped system Itoductio Systems that equie two idepedet d coodiates to descibe thei motio ae called two degee of

More information

Maximum Entropy, Parallel Computation and Lotteries

Maximum Entropy, Parallel Computation and Lotteries Maximum Etopy, Paallel Computatio ad Lotteies S.J. Cox Depatmet of Electoics ad Compute Sciece, Uivesity of Southampto, UK. G.J. Daiell Depatmet of Physics ad Astoomy, Uivesity of Southampto, UK. D.A.

More information

3. Greatest Common Divisor - Least Common Multiple

3. Greatest Common Divisor - Least Common Multiple 3 Greatest Commo Divisor - Least Commo Multiple Defiitio 31: The greatest commo divisor of two atural umbers a ad b is the largest atural umber c which divides both a ad b We deote the greatest commo gcd

More information

THE PRINCIPLE OF THE ACTIVE JMC SCATTERER. Seppo Uosukainen

THE PRINCIPLE OF THE ACTIVE JMC SCATTERER. Seppo Uosukainen THE PRINCIPLE OF THE ACTIVE JC SCATTERER Seppo Uoukaie VTT Buildig ad Tapot Ai Hadlig Techology ad Acoutic P. O. Bo 1803, FIN 02044 VTT, Filad [email protected] ABSTRACT The piciple of fomulatig the

More information

between Modern Degree Model Logistics Industry in Gansu Province 2. Measurement Model 1. Introduction 2.1 Synergetic Degree

between Modern Degree Model Logistics Industry in Gansu Province 2. Measurement Model 1. Introduction 2.1 Synergetic Degree www.ijcsi.og 385 Calculatio adaalysis alysis of the Syegetic Degee Model betwee Mode Logistics ad Taspotatio Idusty i Gasu Povice Ya Ya 1, Yogsheg Qia, Yogzhog Yag 3,Juwei Zeg 4 ad Mi Wag 5 1 School of

More information

Money Math for Teens. Introduction to Earning Interest: 11th and 12th Grades Version

Money Math for Teens. Introduction to Earning Interest: 11th and 12th Grades Version Moey Math fo Tees Itoductio to Eaig Iteest: 11th ad 12th Gades Vesio This Moey Math fo Tees lesso is pat of a seies ceated by Geeatio Moey, a multimedia fiacial liteacy iitiative of the FINRA Ivesto Educatio

More information

Soving Recurrence Relations

Soving Recurrence Relations Sovig Recurrece Relatios Part 1. Homogeeous liear 2d degree relatios with costat coefficiets. Cosider the recurrece relatio ( ) T () + at ( 1) + bt ( 2) = 0 This is called a homogeeous liear 2d degree

More information

Negotiation Programs

Negotiation Programs Negotiatio Pogams Javie Espaza 1 ad Jög Desel 2 1 Fakultät fü Ifomatik, Techische Uivesität Müche, Gemay [email protected] 2 Fakultät fü Mathematik ud Ifomatik, FeUivesität i Hage, Gemay [email protected]

More information

An Efficient Group Key Agreement Protocol for Ad hoc Networks

An Efficient Group Key Agreement Protocol for Ad hoc Networks An Efficient Goup Key Ageement Potocol fo Ad hoc Netwoks Daniel Augot, Raghav haska, Valéie Issany and Daniele Sacchetti INRIA Rocquencout 78153 Le Chesnay Fance {Daniel.Augot, Raghav.haska, Valéie.Issany,

More information

Chapter 6: Variance, the law of large numbers and the Monte-Carlo method

Chapter 6: Variance, the law of large numbers and the Monte-Carlo method Chapter 6: Variace, the law of large umbers ad the Mote-Carlo method Expected value, variace, ad Chebyshev iequality. If X is a radom variable recall that the expected value of X, E[X] is the average value

More information

Finance Practice Problems

Finance Practice Problems Iteest Fiace Pactice Poblems Iteest is the cost of boowig moey. A iteest ate is the cost stated as a pecet of the amout boowed pe peiod of time, usually oe yea. The pevailig maket ate is composed of: 1.

More information

Systems Design Project: Indoor Location of Wireless Devices

Systems Design Project: Indoor Location of Wireless Devices Systems Desig Project: Idoor Locatio of Wireless Devices Prepared By: Bria Murphy Seior Systems Sciece ad Egieerig Washigto Uiversity i St. Louis Phoe: (805) 698-5295 Email: [email protected] Supervised

More information

Annuities and loan. repayments. Syllabus reference Financial mathematics 5 Annuities and loan. repayments

Annuities and loan. repayments. Syllabus reference Financial mathematics 5 Annuities and loan. repayments 8 8A Futue value of a auity 8B Peset value of a auity 8C Futue ad peset value tables 8D Loa epaymets Auities ad loa epaymets Syllabus efeece Fiacial mathematics 5 Auities ad loa epaymets Supeauatio (othewise

More information

Derivation of Annuity and Perpetuity Formulae. A. Present Value of an Annuity (Deferred Payment or Ordinary Annuity)

Derivation of Annuity and Perpetuity Formulae. A. Present Value of an Annuity (Deferred Payment or Ordinary Annuity) Aity Deivatios 4/4/ Deivatio of Aity ad Pepetity Fomlae A. Peset Vale of a Aity (Defeed Paymet o Odiay Aity 3 4 We have i the show i the lecte otes ad i ompodi ad Discoti that the peset vale of a set of

More information

Chapter 5: Inner Product Spaces

Chapter 5: Inner Product Spaces Chapter 5: Ier Product Spaces Chapter 5: Ier Product Spaces SECION A Itroductio to Ier Product Spaces By the ed of this sectio you will be able to uderstad what is meat by a ier product space give examples

More information

Logistic Regression, AdaBoost and Bregman Distances

Logistic Regression, AdaBoost and Bregman Distances A exteded abstact of this joual submissio appeaed ipoceedigs of the Thiteeth Aual Cofeece o ComputatioalLeaig Theoy, 2000 Logistic Regessio, Adaoost ad egma istaces Michael Collis AT&T Labs Reseach Shao

More information

Determining the sample size

Determining the sample size Determiig the sample size Oe of the most commo questios ay statisticia gets asked is How large a sample size do I eed? Researchers are ofte surprised to fid out that the aswer depeds o a umber of factors

More information

WHEN IS THE (CO)SINE OF A RATIONAL ANGLE EQUAL TO A RATIONAL NUMBER?

WHEN IS THE (CO)SINE OF A RATIONAL ANGLE EQUAL TO A RATIONAL NUMBER? WHEN IS THE (CO)SINE OF A RATIONAL ANGLE EQUAL TO A RATIONAL NUMBER? JÖRG JAHNEL 1. My Motivatio Some Sort of a Itroductio Last term I tought Topological Groups at the Göttige Georg August Uiversity. This

More information

Over-encryption: Management of Access Control Evolution on Outsourced Data

Over-encryption: Management of Access Control Evolution on Outsourced Data Ove-encyption: Management of Access Contol Evolution on Outsouced Data Sabina De Capitani di Vimecati DTI - Univesità di Milano 26013 Cema - Italy [email protected] Stefano Paaboschi DIIMM - Univesità

More information

Risk Sensitive Portfolio Management With Cox-Ingersoll-Ross Interest Rates: the HJB Equation

Risk Sensitive Portfolio Management With Cox-Ingersoll-Ross Interest Rates: the HJB Equation Risk Sensitive Potfolio Management With Cox-Ingesoll-Ross Inteest Rates: the HJB Equation Tomasz R. Bielecki Depatment of Mathematics, The Notheasten Illinois Univesity 55 Noth St. Louis Avenue, Chicago,

More information

Mechanics 1: Work, Power and Kinetic Energy

Mechanics 1: Work, Power and Kinetic Energy Mechanics 1: Wok, Powe and Kinetic Eneg We fist intoduce the ideas of wok and powe. The notion of wok can be viewed as the bidge between Newton s second law, and eneg (which we have et to define and discuss).

More information

STUDENT RESPONSE TO ANNUITY FORMULA DERIVATION

STUDENT RESPONSE TO ANNUITY FORMULA DERIVATION Page 1 STUDENT RESPONSE TO ANNUITY FORMULA DERIVATION C. Alan Blaylock, Hendeson State Univesity ABSTRACT This pape pesents an intuitive appoach to deiving annuity fomulas fo classoom use and attempts

More information

In nite Sequences. Dr. Philippe B. Laval Kennesaw State University. October 9, 2008

In nite Sequences. Dr. Philippe B. Laval Kennesaw State University. October 9, 2008 I ite Sequeces Dr. Philippe B. Laval Keesaw State Uiversity October 9, 2008 Abstract This had out is a itroductio to i ite sequeces. mai de itios ad presets some elemetary results. It gives the I ite Sequeces

More information

Infinite Sequences and Series

Infinite Sequences and Series CHAPTER 4 Ifiite Sequeces ad Series 4.1. Sequeces A sequece is a ifiite ordered list of umbers, for example the sequece of odd positive itegers: 1, 3, 5, 7, 9, 11, 13, 15, 17, 19, 21, 23, 25, 27, 29...

More information

1. C. The formula for the confidence interval for a population mean is: x t, which was

1. C. The formula for the confidence interval for a population mean is: x t, which was s 1. C. The formula for the cofidece iterval for a populatio mea is: x t, which was based o the sample Mea. So, x is guarateed to be i the iterval you form.. D. Use the rule : p-value

More information

Research Method (I) --Knowledge on Sampling (Simple Random Sampling)

Research Method (I) --Knowledge on Sampling (Simple Random Sampling) Research Method (I) --Kowledge o Samplig (Simple Radom Samplig) 1. Itroductio to samplig 1.1 Defiitio of samplig Samplig ca be defied as selectig part of the elemets i a populatio. It results i the fact

More information

ANNUITIES SOFTWARE ASSIGNMENT TABLE OF CONTENTS... 1 ANNUITIES SOFTWARE ASSIGNMENT... 2 WHAT IS AN ANNUITY?... 2 EXAMPLE 1... 2 QUESTIONS...

ANNUITIES SOFTWARE ASSIGNMENT TABLE OF CONTENTS... 1 ANNUITIES SOFTWARE ASSIGNMENT... 2 WHAT IS AN ANNUITY?... 2 EXAMPLE 1... 2 QUESTIONS... ANNUITIES SOFTWARE ASSIGNMENT TABLE OF CONTENTS ANNUITIES SOFTWARE ASSIGNMENT TABLE OF CONTENTS... 1 ANNUITIES SOFTWARE ASSIGNMENT... WHAT IS AN ANNUITY?... EXAMPLE 1... QUESTIONS... EXAMPLE BRANDON S

More information

Learning Objectives. Chapter 2 Pricing of Bonds. Future Value (FV)

Learning Objectives. Chapter 2 Pricing of Bonds. Future Value (FV) Leaig Objectives Chapte 2 Picig of Bods time value of moey Calculate the pice of a bod estimate the expected cash flows detemie the yield to discout Bod pice chages evesely with the yield 2-1 2-2 Leaig

More information

1. MATHEMATICAL INDUCTION

1. MATHEMATICAL INDUCTION 1. MATHEMATICAL INDUCTION EXAMPLE 1: Prove that for ay iteger 1. Proof: 1 + 2 + 3 +... + ( + 1 2 (1.1 STEP 1: For 1 (1.1 is true, sice 1 1(1 + 1. 2 STEP 2: Suppose (1.1 is true for some k 1, that is 1

More information

Secure Smartcard-Based Fingerprint Authentication

Secure Smartcard-Based Fingerprint Authentication Secue Smatcad-Based Fingepint Authentication [full vesion] T. Chales Clancy Compute Science Univesity of Mayland, College Pak [email protected] Nega Kiyavash, Dennis J. Lin Electical and Compute Engineeing Univesity

More information

Math C067 Sampling Distributions

Math C067 Sampling Distributions Math C067 Samplig Distributios Sample Mea ad Sample Proportio Richard Beigel Some time betwee April 16, 2007 ad April 16, 2007 Examples of Samplig A pollster may try to estimate the proportio of voters

More information

Contact Us The College of Management - Academic Studies (COMAS ) Office of International Programs 7 Yitzhak Rabin Blvd. Rishon LeZion 7502501 Israel

Contact Us The College of Management - Academic Studies (COMAS ) Office of International Programs 7 Yitzhak Rabin Blvd. Rishon LeZion 7502501 Israel m a g o P Study hip e t I ad g i e i D m oga P l a ig atio i p e t A I el fo e a I i Lead g i De Cotact U The College of Maagemet - Academic Studie (COMAS ) Office of Iteatioal Pogam 7 Yitzhak Rabi Blvd.

More information

Channel selection in e-commerce age: A strategic analysis of co-op advertising models

Channel selection in e-commerce age: A strategic analysis of co-op advertising models Jounal of Industial Engineeing and Management JIEM, 013 6(1):89-103 Online ISSN: 013-0953 Pint ISSN: 013-843 http://dx.doi.og/10.396/jiem.664 Channel selection in e-commece age: A stategic analysis of

More information

16. Mean Square Estimation

16. Mean Square Estimation 6 Me Sque stmto Gve some fomto tht s elted to uow qutty of teest the poblem s to obt good estmte fo the uow tems of the obseved dt Suppose epeset sequece of dom vbles bout whom oe set of obsevtos e vlble

More information

IT Support. 020 8269 6878 n www.premierchoiceinternet.com n [email protected]. 30 Day FREE Trial. IT Support from 8p/user

IT Support. 020 8269 6878 n www.premierchoiceinternet.com n support@premierchoiceinternet.com. 30 Day FREE Trial. IT Support from 8p/user IT Support IT Support Premier Choice Iteret has bee providig reliable, proactive & affordable IT Support solutios to compaies based i Lodo ad the South East of Eglad sice 2002. Our goal is to provide our

More information

The force between electric charges. Comparing gravity and the interaction between charges. Coulomb s Law. Forces between two charges

The force between electric charges. Comparing gravity and the interaction between charges. Coulomb s Law. Forces between two charges The foce between electic chages Coulomb s Law Two chaged objects, of chage q and Q, sepaated by a distance, exet a foce on one anothe. The magnitude of this foce is given by: kqq Coulomb s Law: F whee

More information

Section 8.3 : De Moivre s Theorem and Applications

Section 8.3 : De Moivre s Theorem and Applications The Sectio 8 : De Moivre s Theorem ad Applicatios Let z 1 ad z be complex umbers, where z 1 = r 1, z = r, arg(z 1 ) = θ 1, arg(z ) = θ z 1 = r 1 (cos θ 1 + i si θ 1 ) z = r (cos θ + i si θ ) ad z 1 z =

More information

The Binomial Distribution

The Binomial Distribution The Binomial Distibution A. It would be vey tedious if, evey time we had a slightly diffeent poblem, we had to detemine the pobability distibutions fom scatch. Luckily, thee ae enough similaities between

More information

How to Encrypt Properly with RSA

How to Encrypt Properly with RSA RSA Laboatoies CyptoBytes. Volume 5, No. 1 Winte/Sping 2002, pages 9 19. ow to Encypt Popely with RSA David Pointcheval Dépt d Infomatique, ENS CNRS, 45 ue d Ulm, 75230 Pais Cedex 05, Fance E-mail: [email protected]

More information

Cooley-Tukey. Tukey FFT Algorithms. FFT Algorithms. Cooley

Cooley-Tukey. Tukey FFT Algorithms. FFT Algorithms. Cooley Cooley Cooley-Tuey Tuey FFT Algorithms FFT Algorithms Cosider a legth- sequece x[ with a -poit DFT X[ where Represet the idices ad as +, +, Cooley Cooley-Tuey Tuey FFT Algorithms FFT Algorithms Usig these

More information

CS103X: Discrete Structures Homework 4 Solutions

CS103X: Discrete Structures Homework 4 Solutions CS103X: Discrete Structures Homewor 4 Solutios Due February 22, 2008 Exercise 1 10 poits. Silico Valley questios: a How may possible six-figure salaries i whole dollar amouts are there that cotai at least

More information

Factoring x n 1: cyclotomic and Aurifeuillian polynomials Paul Garrett <[email protected]>

Factoring x n 1: cyclotomic and Aurifeuillian polynomials Paul Garrett <garrett@math.umn.edu> (March 16, 004) Factorig x 1: cyclotomic ad Aurifeuillia polyomials Paul Garrett Polyomials of the form x 1, x 3 1, x 4 1 have at least oe systematic factorizatio x 1 = (x 1)(x 1

More information

Gauss Law. Physics 231 Lecture 2-1

Gauss Law. Physics 231 Lecture 2-1 Gauss Law Physics 31 Lectue -1 lectic Field Lines The numbe of field lines, also known as lines of foce, ae elated to stength of the electic field Moe appopiately it is the numbe of field lines cossing

More information

On Some Functions Involving the lcm and gcd of Integer Tuples

On Some Functions Involving the lcm and gcd of Integer Tuples SCIENTIFIC PUBLICATIONS OF THE STATE UNIVERSITY OF NOVI PAZAR SER. A: APPL. MATH. INFORM. AND MECH. vol. 6, 2 (2014), 91-100. On Some Functions Involving the lcm and gcd of Intege Tuples O. Bagdasa Abstact:

More information

Our aim is to show that under reasonable assumptions a given 2π-periodic function f can be represented as convergent series

Our aim is to show that under reasonable assumptions a given 2π-periodic function f can be represented as convergent series 8 Fourier Series Our aim is to show that uder reasoable assumptios a give -periodic fuctio f ca be represeted as coverget series f(x) = a + (a cos x + b si x). (8.) By defiitio, the covergece of the series

More information

Did you know that houses with CCTV are 90% less likely to be burgled? Yale now offer a range of Easy Fit CCTV systems

Did you know that houses with CCTV are 90% less likely to be burgled? Yale now offer a range of Easy Fit CCTV systems Easy Fit CCTV Rage Did you kow that houses with CCTV are 90% less likely to be burgled? Yale ow offer a rage of Easy Fit CCTV systems Protect your premises wherever you are with our ew rage of CCTV systems,

More information

Hypothesis testing. Null and alternative hypotheses

Hypothesis testing. Null and alternative hypotheses Hypothesis testig Aother importat use of samplig distributios is to test hypotheses about populatio parameters, e.g. mea, proportio, regressio coefficiets, etc. For example, it is possible to stipulate

More information

Vector Calculus: Are you ready? Vectors in 2D and 3D Space: Review

Vector Calculus: Are you ready? Vectors in 2D and 3D Space: Review Vecto Calculus: Ae you eady? Vectos in D and 3D Space: Review Pupose: Make cetain that you can define, and use in context, vecto tems, concepts and fomulas listed below: Section 7.-7. find the vecto defined

More information

SAMPLE QUESTIONS FOR FINAL EXAM. (1) (2) (3) (4) Find the following using the definition of the Riemann integral: (2x + 1)dx

SAMPLE QUESTIONS FOR FINAL EXAM. (1) (2) (3) (4) Find the following using the definition of the Riemann integral: (2x + 1)dx SAMPLE QUESTIONS FOR FINAL EXAM REAL ANALYSIS I FALL 006 3 4 Fid the followig usig the defiitio of the Riema itegral: a 0 x + dx 3 Cosider the partitio P x 0 3, x 3 +, x 3 +,......, x 3 3 + 3 of the iterval

More information

2 r2 θ = r2 t. (3.59) The equal area law is the statement that the term in parentheses,

2 r2 θ = r2 t. (3.59) The equal area law is the statement that the term in parentheses, 3.4. KEPLER S LAWS 145 3.4 Keple s laws You ae familia with the idea that one can solve some mechanics poblems using only consevation of enegy and (linea) momentum. Thus, some of what we see as objects

More information

Give me all I pay for Execution Guarantees in Electronic Commerce Payment Processes

Give me all I pay for Execution Guarantees in Electronic Commerce Payment Processes Give me all I pay fo Execution Guaantees in Electonic Commece Payment Pocesses Heiko Schuldt Andei Popovici Hans-Jög Schek Email: Database Reseach Goup Institute of Infomation Systems ETH Zentum, 8092

More information

Firstmark Credit Union Commercial Loan Department

Firstmark Credit Union Commercial Loan Department Fistmak Cedit Union Commecial Loan Depatment Thank you fo consideing Fistmak Cedit Union as a tusted souce to meet the needs of you business. Fistmak Cedit Union offes a wide aay of business loans and

More information

Asymptotic Growth of Functions

Asymptotic Growth of Functions CMPS Itroductio to Aalysis of Algorithms Fall 3 Asymptotic Growth of Fuctios We itroduce several types of asymptotic otatio which are used to compare the performace ad efficiecy of algorithms As we ll

More information

5 Boolean Decision Trees (February 11)

5 Boolean Decision Trees (February 11) 5 Boolea Decisio Trees (February 11) 5.1 Graph Coectivity Suppose we are give a udirected graph G, represeted as a boolea adjacecy matrix = (a ij ), where a ij = 1 if ad oly if vertices i ad j are coected

More information

Efficient Redundancy Techniques for Latency Reduction in Cloud Systems

Efficient Redundancy Techniques for Latency Reduction in Cloud Systems Efficient Redundancy Techniques fo Latency Reduction in Cloud Systems 1 Gaui Joshi, Emina Soljanin, and Gegoy Wonell Abstact In cloud computing systems, assigning a task to multiple seves and waiting fo

More information

1240 ev nm 2.5 ev. (4) r 2 or mv 2 = ke2

1240 ev nm 2.5 ev. (4) r 2 or mv 2 = ke2 Chapte 5 Example The helium atom has 2 electonic enegy levels: E 3p = 23.1 ev and E 2s = 20.6 ev whee the gound state is E = 0. If an electon makes a tansition fom 3p to 2s, what is the wavelength of the

More information

Promised Lead-Time Contracts Under Asymmetric Information

Promised Lead-Time Contracts Under Asymmetric Information OPERATIONS RESEARCH Vol. 56, No. 4, July August 28, pp. 898 915 issn 3-364X eissn 1526-5463 8 564 898 infoms doi 1.1287/ope.18.514 28 INFORMS Pomised Lead-Time Contacts Unde Asymmetic Infomation Holly

More information

Strategic Remanufacturing Decision in a Supply Chain with an External Local Remanufacturer

Strategic Remanufacturing Decision in a Supply Chain with an External Local Remanufacturer Assoiatio fo Ifomatio Systems AIS Eletoi Libay (AISeL) WHICEB 013 Poeedigs Wuha Iteatioal Cofeee o e-busiess 5-5-013 Stategi Remaufatuig Deisio i a Supply Chai with a Exteal Loal Remaufatue Xu Tiatia Shool

More information

Repeating Decimals are decimal numbers that have number(s) after the decimal point that repeat in a pattern.

Repeating Decimals are decimal numbers that have number(s) after the decimal point that repeat in a pattern. 5.5 Fractios ad Decimals Steps for Chagig a Fractio to a Decimal. Simplify the fractio, if possible. 2. Divide the umerator by the deomiator. d d Repeatig Decimals Repeatig Decimals are decimal umbers

More information

CME 302: NUMERICAL LINEAR ALGEBRA FALL 2005/06 LECTURE 8

CME 302: NUMERICAL LINEAR ALGEBRA FALL 2005/06 LECTURE 8 CME 30: NUMERICAL LINEAR ALGEBRA FALL 005/06 LECTURE 8 GENE H GOLUB 1 Positive Defiite Matrices A matrix A is positive defiite if x Ax > 0 for all ozero x A positive defiite matrix has real ad positive

More information

MULTIPLE SOLUTIONS OF THE PRESCRIBED MEAN CURVATURE EQUATION

MULTIPLE SOLUTIONS OF THE PRESCRIBED MEAN CURVATURE EQUATION MULTIPLE SOLUTIONS OF THE PRESCRIBED MEAN CURVATURE EQUATION K.C. CHANG AND TAN ZHANG In memoy of Pofesso S.S. Chen Abstact. We combine heat flow method with Mose theoy, supe- and subsolution method with

More information

Modified Line Search Method for Global Optimization

Modified Line Search Method for Global Optimization Modified Lie Search Method for Global Optimizatio Cria Grosa ad Ajith Abraham Ceter of Excellece for Quatifiable Quality of Service Norwegia Uiversity of Sciece ad Techology Trodheim, Norway {cria, ajith}@q2s.tu.o

More information

E-Plex Enterprise Access Control System

E-Plex Enterprise Access Control System Eterprise Access Cotrol System Egieered for Flexibility Modular Solutio The Eterprise Access Cotrol System is a modular solutio for maagig access poits. Employig a variety of hardware optios, system maagemet

More information

Things to Remember. r Complete all of the sections on the Retirement Benefit Options form that apply to your request.

Things to Remember. r Complete all of the sections on the Retirement Benefit Options form that apply to your request. Retiement Benefit 1 Things to Remembe Complete all of the sections on the Retiement Benefit fom that apply to you equest. If this is an initial equest, and not a change in a cuent distibution, emembe to

More information

Project Request & Project Plan

Project Request & Project Plan Poject Request & Poject Pla ITS Platfoms Cofiguatio Maagemet Pla Vesio: 0.3 Last Updated: 2009/01/07 Date Submitted: 2008/11/20 Submitted by: Stephe Smooge Executive Sposo: Gil Gozales/Moia Geety Expected

More information

Output Analysis (2, Chapters 10 &11 Law)

Output Analysis (2, Chapters 10 &11 Law) B. Maddah ENMG 6 Simulatio 05/0/07 Output Aalysis (, Chapters 10 &11 Law) Comparig alterative system cofiguratio Sice the output of a simulatio is radom, the comparig differet systems via simulatio should

More information

Section 11.3: The Integral Test

Section 11.3: The Integral Test Sectio.3: The Itegral Test Most of the series we have looked at have either diverged or have coverged ad we have bee able to fid what they coverge to. I geeral however, the problem is much more difficult

More information

Discrete Mathematics and Probability Theory Spring 2014 Anant Sahai Note 13

Discrete Mathematics and Probability Theory Spring 2014 Anant Sahai Note 13 EECS 70 Discrete Mathematics ad Probability Theory Sprig 2014 Aat Sahai Note 13 Itroductio At this poit, we have see eough examples that it is worth just takig stock of our model of probability ad may

More information

Incremental calculation of weighted mean and variance

Incremental calculation of weighted mean and variance Icremetal calculatio of weighted mea ad variace Toy Fich [email protected] [email protected] Uiversity of Cambridge Computig Service February 009 Abstract I these otes I eplai how to derive formulae for umerically

More information

Converting knowledge Into Practice

Converting knowledge Into Practice Conveting knowledge Into Pactice Boke Nightmae srs Tend Ride By Vladimi Ribakov Ceato of Pips Caie 20 of June 2010 2 0 1 0 C o p y i g h t s V l a d i m i R i b a k o v 1 Disclaime and Risk Wanings Tading

More information

Figure 2. So it is very likely that the Babylonians attributed 60 units to each side of the hexagon. Its resulting perimeter would then be 360!

Figure 2. So it is very likely that the Babylonians attributed 60 units to each side of the hexagon. Its resulting perimeter would then be 360! 1. What ae angles? Last time, we looked at how the Geeks intepeted measument of lengths. Howeve, as fascinated as they wee with geomety, thee was a shape that was much moe enticing than any othe : the

More information

Peer-to-Peer File Sharing Game using Correlated Equilibrium

Peer-to-Peer File Sharing Game using Correlated Equilibrium Pee-to-Pee File Shaing Game using Coelated Equilibium Beibei Wang, Zhu Han, and K. J. Ray Liu Depatment of Electical and Compute Engineeing and Institute fo Systems Reseach, Univesity of Mayland, College

More information

Domain 1: Designing a SQL Server Instance and a Database Solution

Domain 1: Designing a SQL Server Instance and a Database Solution Maual SQL Server 2008 Desig, Optimize ad Maitai (70-450) 1-800-418-6789 Domai 1: Desigig a SQL Server Istace ad a Database Solutio Desigig for CPU, Memory ad Storage Capacity Requiremets Whe desigig a

More information

Static revisited. Odds and ends. Static methods. Static methods 5/2/16. Some features of Java we haven t discussed

Static revisited. Odds and ends. Static methods. Static methods 5/2/16. Some features of Java we haven t discussed Odds ad eds Static revisited Some features of Java we have t discussed Static methods // Example: // Java's built i Math class public class Math { public static it abs(it a) { if (a >= 0) { retur a; else

More information

InventoryControl. The Complete Inventory Tracking Solution for Small Businesses

InventoryControl. The Complete Inventory Tracking Solution for Small Businesses IvetoryCotrol The Complete Ivetory Trackig Solutio for Small Busiesses Regular Logo 4C Productivity Solutios for Small Busiesses Logo Outlie Get i cotrol of your ivetory with Wasp Ivetory Cotrol the complete

More information

SECTION 1.5 : SUMMATION NOTATION + WORK WITH SEQUENCES

SECTION 1.5 : SUMMATION NOTATION + WORK WITH SEQUENCES SECTION 1.5 : SUMMATION NOTATION + WORK WITH SEQUENCES Read Sectio 1.5 (pages 5 9) Overview I Sectio 1.5 we lear to work with summatio otatio ad formulas. We will also itroduce a brief overview of sequeces,

More information

Randomized Load Balancing by Joining and Splitting Bins

Randomized Load Balancing by Joining and Splitting Bins Radomzed Load Baacg by Jog ad Spttg Bs James Aspes Ytog Y 1 Itoducto Cosde the foowg oad baacg sceao: a ceta amout of wo oad s dstbuted amog a set of maches that may chage ove tme as maches o ad eave the

More information

FIBONACCI NUMBERS: AN APPLICATION OF LINEAR ALGEBRA. 1. Powers of a matrix

FIBONACCI NUMBERS: AN APPLICATION OF LINEAR ALGEBRA. 1. Powers of a matrix FIBONACCI NUMBERS: AN APPLICATION OF LINEAR ALGEBRA. Powers of a matrix We begi with a propositio which illustrates the usefuless of the diagoalizatio. Recall that a square matrix A is diogaalizable if

More information

Engineering Data Management

Engineering Data Management BaaERP 5.0c Maufacturig Egieerig Data Maagemet Module Procedure UP128A US Documetiformatio Documet Documet code : UP128A US Documet group : User Documetatio Documet title : Egieerig Data Maagemet Applicatio/Package

More information

Chapter 5 O A Cojecture Of Erdíos Proceedigs NCUR VIII è1994è, Vol II, pp 794í798 Jeærey F Gold Departmet of Mathematics, Departmet of Physics Uiversity of Utah Do H Tucker Departmet of Mathematics Uiversity

More information

How to recover your Exchange 2003/2007 mailboxes and emails if all you have available are your PRIV1.EDB and PRIV1.STM Information Store database

How to recover your Exchange 2003/2007 mailboxes and emails if all you have available are your PRIV1.EDB and PRIV1.STM Information Store database AnswesThatWok TM Recoveing Emails and Mailboxes fom a PRIV1.EDB Exchange 2003 IS database How to ecove you Exchange 2003/2007 mailboxes and emails if all you have available ae you PRIV1.EDB and PRIV1.STM

More information

Domain 1 - Describe Cisco VoIP Implementations

Domain 1 - Describe Cisco VoIP Implementations Maual ONT (642-8) 1-800-418-6789 Domai 1 - Describe Cisco VoIP Implemetatios Advatages of VoIP Over Traditioal Switches Voice over IP etworks have may advatages over traditioal circuit switched voice etworks.

More information

(VCP-310) 1-800-418-6789

(VCP-310) 1-800-418-6789 Maual VMware Lesso 1: Uderstadig the VMware Product Lie I this lesso, you will first lear what virtualizatio is. Next, you ll explore the products offered by VMware that provide virtualizatio services.

More information

Finding the circle that best fits a set of points

Finding the circle that best fits a set of points Fidig the circle that best fits a set of poits L. MAISONOBE October 5 th 007 Cotets 1 Itroductio Solvig the problem.1 Priciples............................... Iitializatio.............................

More information

On Formula to Compute Primes. and the n th Prime

On Formula to Compute Primes. and the n th Prime Applied Mathematical cieces, Vol., 0, o., 35-35 O Formula to Compute Primes ad the th Prime Issam Kaddoura Lebaese Iteratioal Uiversity Faculty of Arts ad cieces, Lebao [email protected] amih Abdul-Nabi

More information

Development of Customer Value Model for Healthcare Services

Development of Customer Value Model for Healthcare Services 96 Developmet of Custome Value Model fo Healthcae Sevices Developmet of Custome Value Model fo Healthcae Sevices Wa-I Lee ad Bih-Yaw Shih Depatmet of Maetig ad Distibutio Maagemet, Natioal Kaohsiug Fist,

More information

Liquidity and Insurance for the Unemployed*

Liquidity and Insurance for the Unemployed* Fedeal Reseve Bank of Minneapolis Reseach Depatment Staff Repot 366 Decembe 2005 Liquidity and Insuance fo the Unemployed* Robet Shime Univesity of Chicago and National Bueau of Economic Reseach Iván Wening

More information