An Epidemic Model of Mobile Phone Virus


 Marvin Jones
 2 years ago
 Views:
Transcription
1 An Epidemic Model of Mobile Phone Vius Hui Zheng, Dong Li, Zhuo Gao 3 Netwok Reseach Cente, Tsinghua Univesity, P. R. China School of Compute Science and Technology, Huazhong Univesity of Science and Technology, P. R. China 3 Depatment of Physics, Beijing Nomal Univesity, P. R. China Abstact Consideing the chaacteistics of mobile netwok, we impot thee impotant paametes: distibution density of mobile phone, coveage adius of Bluetooth signal and moving velocity of mobile phone to build an epidemic model of mobile phone vius which is diffeent fom the epidemic model of compute wom. Then analyzing diffeent popeties of this model with the change of paametes; discussing the epidemic theshold of mobile phone vius; pesenting suggestions of quaantining the of mobile phone vius. Keywods: Mobile Phone Vius, Epidemic Model, Secuity of Wieless Netwok, Bluetooth, Smat Phone.. Intoduction The fist compute vius that attacks mobile phone is VBS. Timofonica which was found on May 3, []. This vius speads though PCs, but it can use the message sevice of moviesta.net to send out ubbish shot messages to its subscibe. It is popagandized as mobile phone vius by the media, but in fact it s only a kind of compute vius and can t spead though mobile phone which is the only attacked object. Cabi Cell Phone Wom which was found on June 4, is eally a mobile phone vius []. It speads fom one cell phone to anothe by Bluetooth. Now it is found in moe than counties and has moe than 7 vaiants. Cabi has the chaacteistic of initiative and this patten will be mostly adopted by mobile phone vius in the futue. Table lists the compaison between configuation of smat phone and compute. This table pesents the most advanced desktop compute configuation in 998 and 999. Geneally, it takes to 3 yeas fo compute with the most advanced configuation to become popula. That is to say, when the Code Red Wom boke out in, common hadwae of computes in Intenet was as same as the configuation in table. With the compaison in table, we can see that smat phone pesently has aleady possessed hadwae condition fo compute vius. Table. Hadwae compaing between smat phone and desktop pesonal compute Hadwae 5(dop 998 PC 999 PC od 88) CPU Intel 46MHz Pentium 333MHz Pentium III 45MHz[3] Memoy 8M 3M 64M Had Disk G~8G G 6G The development and populaization of smat phone ae both vey fast. Accoding to the statistics of ARC, in 4 the sum of smat phone is 7,,, accounting fo 3% of the global amount of mobile phones. IDC estimates that the sum of smat phone will each up to 3,, by 8 and account fo 5% of the global amount of mobile phones [4]. So we should pay much attention to the secuity of smat phone. In this pape, smat phone is one smat mobile teminal device with the integated ability of data tansmission, pocessing and communication; mobile phone vius is a malicious code that can spead though all kinds of smat mobile teminal devices. As to the secuity eseach, though we can efe to the secuity eseach esults in MANETs (Mobile Ad Hoc Netwoks), MANETs and Senso netwok emphasize that esouce is finite and all the poblems about application and secuity should be esticted to this pecondition []. Smat mobile teminal device emphasizes that esouce is abundant, even possess the same computing ability as desktop pesonal compute. So fo these two secuity poblems, the stating points of eseach ae diffeent. Recently, pape [5] demonstates that taditional epidemic model of compute vius can t be applied to vius in
2 mobile envionment and the epidemic model when the mobile phone moves with vaiable velocity is also discussed. But in a small aea, unifom motion accods with the spot law of human being pefeably. What s moe, some impotant paametes such as distibution density and signal coveage adius ae not impoted to the model. Pape [6] compaes to the equied condition of vius in compute and gives the coesponding equied condition of vius in MANETs by simulation. This pape fist discusses seveal modes of mobile phone vius; The second section builds the epidemic model of mobile phone vius which impots 3 paametes: moving velocity, signal coveage adius and distibution density; The thid section analyses some elevant chaacteistics of this model; the fouth section compaes the epidemic model of mobile phone vius with the epidemic model of Intenet wom and discusses the theshold of mobile phone vius beaking out. At last, we make some discussions.. The way of mobile phone vius Though pape [7~8] pesents many examples of mobile phone vius, many of them ae not able to spead, so they ae not eal mobile phone vius. Accoding to analysis of all kinds of epidemic malicious codes which have been found, such as Cabi [], Commwaio [9], Bado [], Skull [] etc, we can define mobile phone vius: it is a piece of data o pogam that speads among smat mobile teminal devices by the communication intefaces and can influence the usage of handset o leak out sensitive data. Though the analysis of way, we can conclude table : Table. Speading way of mobile phone vius Wieless channel Speading distance Speading diection Way of discoveing neighbo nodes Relay (Yes o No) GPRS/CDMA XRTT m Nondiectional Appointed Yes WiFi(8.) m Nondiectional Appointed Yes Bluetooth m Nondiectional Automatic No IDA m Diectional Automatic No Fo the mobile phone vius that can spead by MMS and , it can tansmit data by GPRS and WiFi; fo the mobile phone vius that spead by electonic file, it can tansmit data by Bluetooth and IDA. Although thee ae fou wieless tansmission ways, some need elay nodes o diectional angle, so Bluetooth is the best choice fo vius wite. In this model, we mainly conside those mobile phone viuses that spead though Bluetooth. Fo othe ways of tansmission, we will build the model in othe papes. 3. The epidemic model of mobile phone popagating Supposing mobile phone has two statuses: Susceptible and infected. The infected will come back to susceptible with cetain pobability. In table 3, we define some symbols: Symbol Ω ρ v I Table 3. Symbol definition Instuctions moving space of mobile phone (dimmension) distibution density of mobile phone (unifom distibution) moving velocity of mobile phone (unifom velocity) coveage adius of Bluetooth signal The numbe of vius in mobile phone at time t epidemic ate of mobile phone vius popagating esuming ate of the infected Then we can build the epidemic model of mobile phone vius: Ω ρ I = I (( π + v) ρ ) I Ω ρ Suppose: a = ( π + v) ρ ( π + v) ρ b = Ωρ Then the diffeential equation is = ai bi The solution is at + c ae I = at + c + be Fo I ( t ), the initial value of c is a constant. We can conclude fom the solution: if a < then I, and if a >, then a I. b 4. Analysis of model popeties The changes of model popeties with changes of diffeent paametes ae eseached. Table 4 pesents the ange of paametes.
3 Table 4. The ange of paametes Symbol Instuction Range Ω ρ v I moving space of mobile phone (dimmension) distibution density of mobile phone (unifom distibution) moving velocity of mobile phone (unifom velocity) coveage adius of Bluetooth signal epidemic ate of mobile phone vius esuming ate of infected The numbe of initial infected mobile phones m * m.~./m m/s m Influence of distibution density to vius The connotative subject condition of equation is ρ > ( π + v), mobile phone vius is able to spead when this condition is satisfied. Figue shows the elationship between distibution density and. When the subject condition is not satisfied, is ; when the subject condition is satisfied, the is vey sensitive to the change of distibution density, the small change of distibution density can lead to geat impovement popotion of the infected Relationship between ditibution density and distibution density.64 Figue. Relationship between distibution density and 4.. Influence of coveage adius to vius Consideing the ange of coveage adius of Bluetooth signal vaies fom 5m to 5m. Distibution density of mobile phone is.5. Figue 3 is the elationship of coveage adius and of the infected, which pesents the influence of coveage adius to vius. Fom these we can see that mobile phone vius can t spead when coveage adius is vey small. If it speads, the will change with coveage adius. Ralationship between coveage adius and Relationship of distibution density and distibution density(numbe of mobile phone in one unit aea Figue. Relationship of distibution density and Figue is the elationship between distibution density and. It shows the influence of distibution density to moving velocity. Mobile phone vius can t spead when distibution density is small. Speading time that the of mobile phone vius gets to equilibium eflects the velocity of vius. Fom these we can see that velocity is vey sensitive to the change of distibution density coveage adius Figue 3. Relationship between coveage adius and Figue 4 is the elationship between coveage adius and, it pesents the influence of coveage adius to velocity. Vius can t spead when coveage adius is vey small. Speading velocity is vey sensitive to the changes of coveage adius. 3
4 Ralationship between coveage adius and Density=.5 coveage adius Figue 4. Ralationship between coveage adius and 4.3. Influence of moving velocity to vius Assuming distibution density of mobile phone is.35, the ange of moving velocity is m/s~3m/s, figue 5 is the elationship between moving velocity and, it pesents the influence of moving velocity to the of mobile phone vius. Fo the small distibution density of mobile phone and typical coveage adius, speeding the moving velocity can esult in the of the vius which can t spead befoe. Ralationship between moving velocity and infenction Density= moving velocity 6. Figue 5. Relationship between moving velocity and Figue 6 is the elationship between moving velocity and. It pesents the influence of moving velocity to velocity. Fom this figue we can see that inceasing of moving velocity can speed up the of vius. Relationship between moving velocity and Density= moving velocity Figue 6. Relationship between moving velocity and The time that vius file tansfes fom one mobile phone to anothe is T, the discussion above supposes f that the moving of mobile phone has no influence to vius. If we take into account the influence of moving velocity of mobile phone, we can add one subject condition: v <. When this condition is T f satisfied, vius can spead. When this condition is not satisfied, that is to say, mobile phone moves too fast, then the time that vius stay in the coveage aea of signal is too shot, vius can t spead. 5. Results of compaison with epidemic models of wom The coesponding epidemic model of wom in compute netwok can be expessed as [3]: = I ( Ω ρ I) I In compute netwok, Ω ρ is the sum of compute and it is a fixed value in shot time. The theshold of its is: < Ω ρ. If this condition is satisfied, wom can spead. This condition can be satisfied easily. Diffeent fom the theshold of compute vius, the theshold of mobile phone vius is subject to coveage adius of wieless signal, moving velocity and distibution density. Accoding to the stabilized solution of diffeential equation, we can see: if a <, then I ; fo a = ( π + v) ρ, we can get a new theshold: < ( π + v) ρ. When this condition is satisfied, vius will beak out; if this condition is not satisfied, vius can t beak out. 4
5 Fom these we can see: the condition that mobile phone vius beaks out is much moe igoous than wom in compute netwok. So the pobability of that mobile phone vius beaks out in lage aea is vey small, but it is possible in local aea. 6. Conclusions Because of the mobility, mobile phone has some elevant chaacteistics: moving velocity, moving scope etc, which make the epidemic model of mobile phone vius vey diffeent fom the model of compute vius and wom. We can make use of stochastic mobile model (such as Random Waypoint model, Random Diection model [4]) to build model of mobile phone vius. But these stochastic models have some limitations and can t accod with the fact pefeably. Fo simplification of this poblem, we build this model with unifom motion. Though the analysis of this model, we can conclude some measues of quaantining mobile phone vius: educing coveage adius, such as educing signal powe, o intefeing signal etc; deceasing moving velocity, such as esticting the flowage of peson; lessening distibution density of mobile phone, such as contolling the moving aea of someone with mobile phone; these measues have distinct diffeences with the usual ways of quaantining mobile phone vius. [6] Robet G. Cole, Nam Phamdo, Moheeb A. Rajab, Andeas Tezis. Requiements on Wom Mitigation Technologies in MANETs. Poceedings of the Wokshop on Pinciples of Advanced and Distibuted Simulation (PADS 5). [7] Shian Wang. Pinciple and Defense of Mobile Phone Vius. Jounal of Dal ian Institute of Light Industy, 3(): 7476, 4. (in Chinese) [8] Kai Li, Hao Chen. Vius Theats to GSM Mobile Phones. China Infomation Secuity, 7:68, 5. (in Chinese) [9] Mikko Hypponen, Jano Niemela. FSecue Vius Desciptions Commwaio. A. Mach 7 th, 5. [] ViuslistBackdoo. WinCE.Bado, a Viuslist. Aug 5 th, 4. com/en/viuslist.html?id=98455 [] Dan Ilet and Matt Hines. Skulls pogam caies Cabi wom into phones. Techepublic. Nov 3 th, 4. /5_5474.html [] Sang ho Kim, Choon Seong Leem. Secuity Theats and Thei Countemeasues of Mobile Potable Computing Devices in Ubiquitous Computing Envionments. ICCSA 5, LNCS 3483, pp , 5. [3] J. Kephat and S. White. Diectedgaph epidemiological models of compute viuses. In Poceedings of the IEEE Compute Symposium on Reseach in Secuity and Pivacy, pages , May 99. [4] Bettstette, H. Hatenstein, and X. PeezCosta. Stochastic Popeties of the Random Waypoint Mobility Model. ACM/ Kluwe Wieless Netwoks, (5): , Septembe 4. Acknowledgement This wok is suppoted in pat by National Science Foundation of China unde contact 634; by HighTech Pogam (863) of China unde contact 3AA48. Points of view in this document ae those of the authos and do not necessaily epesent the official position of Tsinghua Univesity, Huazhong Univesity of Science and Technology, o Beijing Nomal Univesity. Refeences [] Symantec. VBS.Timofonica. html [] Symantec. SymbOS.Cabi. bos.cabi.html [3] Histoy of Compute Development. (in Chinese) [4] Neal Leavitt. Mobile Phones, The Next Fontie fo Hackes. IEEE Compute, 38(4): 3, 5. [5] James W. Mickens, Bian D. Noble. Modeling Epidemic Speading in Mobile Envionments. WiSE 5, Septembe nd, 5, Cologne, Gemany. 5
Software Engineering and Development
I T H E A 67 Softwae Engineeing and Development SOFTWARE DEVELOPMENT PROCESS DYNAMICS MODELING AS STATE MACHINE Leonid Lyubchyk, Vasyl Soloshchuk Abstact: Softwae development pocess modeling is gaining
More informationThe transport performance evaluation system building of logistics enterprises
Jounal of Industial Engineeing and Management JIEM, 213 6(4): 194114 Online ISSN: 213953 Pint ISSN: 2138423 http://dx.doi.og/1.3926/jiem.784 The tanspot pefomance evaluation system building of logistics
More informationON THE (Q, R) POLICY IN PRODUCTIONINVENTORY SYSTEMS
ON THE R POLICY IN PRODUCTIONINVENTORY SYSTEMS Saifallah Benjaafa and JoonSeok Kim Depatment of Mechanical Engineeing Univesity of Minnesota Minneapolis MN 55455 Abstact We conside a poductioninventoy
More informationHEALTHCARE INTEGRATION BASED ON CLOUD COMPUTING
U.P.B. Sci. Bull., Seies C, Vol. 77, Iss. 2, 2015 ISSN 22863540 HEALTHCARE INTEGRATION BASED ON CLOUD COMPUTING Roxana MARCU 1, Dan POPESCU 2, Iulian DANILĂ 3 A high numbe of infomation systems ae available
More information867 Product Transfer and Resale Report
867 Poduct Tansfe and Resale Repot Functional Goup ID=PT Intoduction: This X12 Tansaction Set contains the fomat and establishes the data contents of the Poduct Tansfe and Resale Repot Tansaction Set (867)
More informationYARN PROPERTIES MEASUREMENT: AN OPTICAL APPROACH
nd INTERNATIONAL TEXTILE, CLOTHING & ESIGN CONFERENCE Magic Wold of Textiles Octobe 03 d to 06 th 004, UBROVNIK, CROATIA YARN PROPERTIES MEASUREMENT: AN OPTICAL APPROACH Jana VOBOROVA; Ashish GARG; Bohuslav
More informationQuestions & Answers Chapter 10 Software Reliability Prediction, Allocation and Demonstration Testing
M13914 Questions & Answes Chapte 10 Softwae Reliability Pediction, Allocation and Demonstation Testing 1. Homewok: How to deive the fomula of failue ate estimate. λ = χ α,+ t When the failue times follow
More informationConcept and Experiences on using a Wikibased System for Softwarerelated Seminar Papers
Concept and Expeiences on using a Wikibased System fo Softwaeelated Semina Papes Dominik Fanke and Stefan Kowalewski RWTH Aachen Univesity, 52074 Aachen, Gemany, {fanke, kowalewski}@embedded.wthaachen.de,
More informationVISCOSITY OF BIODIESEL FUELS
VISCOSITY OF BIODIESEL FUELS One of the key assumptions fo ideal gases is that the motion of a given paticle is independent of any othe paticles in the system. With this assumption in place, one can use
More informationINITIAL MARGIN CALCULATION ON DERIVATIVE MARKETS OPTION VALUATION FORMULAS
INITIAL MARGIN CALCULATION ON DERIVATIVE MARKETS OPTION VALUATION FORMULAS Vesion:.0 Date: June 0 Disclaime This document is solely intended as infomation fo cleaing membes and othes who ae inteested in
More informationResearch on Risk Assessment of the Transformer Based on Life Cycle Cost
ntenational Jounal of Smat Gid and lean Enegy eseach on isk Assessment of the Tansfome Based on Life ycle ost Hui Zhou a, Guowei Wu a, Weiwei Pan a, Yunhe Hou b, hong Wang b * a Zhejiang Electic Powe opoation,
More informationChannel selection in ecommerce age: A strategic analysis of coop advertising models
Jounal of Industial Engineeing and Management JIEM, 013 6(1):89103 Online ISSN: 0130953 Pint ISSN: 013843 http://dx.doi.og/10.396/jiem.664 Channel selection in ecommece age: A stategic analysis of
More informationEffect of Contention Window on the Performance of IEEE 802.11 WLANs
Effect of Contention Window on the Pefomance of IEEE 82.11 WLANs Yunli Chen and Dhama P. Agawal Cente fo Distibuted and Mobile Computing, Depatment of ECECS Univesity of Cincinnati, OH 452213 {ychen,
More informationPerformance Analysis of an Inverse Notch Filter and Its Application to F 0 Estimation
Cicuits and Systems, 013, 4, 1171 http://dx.doi.og/10.436/cs.013.41017 Published Online Januay 013 (http://www.scip.og/jounal/cs) Pefomance Analysis of an Invese Notch Filte and Its Application to F 0
More informationSTUDENT 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 informationAutomatic Testing of Neighbor Discovery Protocol Based on FSM and TTCN*
Automatic Testing of Neighbo Discovey Potocol Based on FSM and TTCN* Zhiliang Wang, Xia Yin, Haibin Wang, and Jianping Wu Depatment of Compute Science, Tsinghua Univesity Beijing, P. R. China, 100084 Email:
More informationHubs, Bridges, and Switches
Hubs, Bidges, and Switches Used fo extending LANs in tems of geogaphical coveage, numbe of nodes, administation capabilities, etc. Diffe in egads to: m collision domain isolation m laye at which they opeate
More informationThe Role of Gravity in Orbital Motion
! The Role of Gavity in Obital Motion Pat of: Inquiy Science with Datmouth Developed by: Chistophe Caoll, Depatment of Physics & Astonomy, Datmouth College Adapted fom: How Gavity Affects Obits (Ohio State
More informationIlona V. Tregub, ScD., Professor
Investment Potfolio Fomation fo the Pension Fund of Russia Ilona V. egub, ScD., Pofesso Mathematical Modeling of Economic Pocesses Depatment he Financial Univesity unde the Govenment of the Russian Fedeation
More informationest using the formula I = Prt, where I is the interest earned, P is the principal, r is the interest rate, and t is the time in years.
9.2 Inteest Objectives 1. Undestand the simple inteest fomula. 2. Use the compound inteest fomula to find futue value. 3. Solve the compound inteest fomula fo diffeent unknowns, such as the pesent value,
More informationStrength Analysis and Optimization Design about the key parts of the Robot
Intenational Jounal of Reseach in Engineeing and Science (IJRES) ISSN (Online): 23209364, ISSN (Pint): 23209356 www.ijes.og Volume 3 Issue 3 ǁ Mach 2015 ǁ PP.2529 Stength Analysis and Optimization Design
More informationAN IMPLEMENTATION OF BINARY AND FLOATING POINT CHROMOSOME REPRESENTATION IN GENETIC ALGORITHM
AN IMPLEMENTATION OF BINARY AND FLOATING POINT CHROMOSOME REPRESENTATION IN GENETIC ALGORITHM Main Golub Faculty of Electical Engineeing and Computing, Univesity of Zageb Depatment of Electonics, Micoelectonics,
More informationComparing Availability of Various Rack Power Redundancy Configurations
Compaing Availability of Vaious Rack Powe Redundancy Configuations By Victo Avela White Pape #48 Executive Summay Tansfe switches and dualpath powe distibution to IT equipment ae used to enhance the availability
More informationMagnetic Bearing with Radial Magnetized Permanent Magnets
Wold Applied Sciences Jounal 23 (4): 495499, 2013 ISSN 18184952 IDOSI Publications, 2013 DOI: 10.5829/idosi.wasj.2013.23.04.23080 Magnetic eaing with Radial Magnetized Pemanent Magnets Vyacheslav Evgenevich
More informationComparing Availability of Various Rack Power Redundancy Configurations
Compaing Availability of Vaious Rack Powe Redundancy Configuations White Pape 48 Revision by Victo Avela > Executive summay Tansfe switches and dualpath powe distibution to IT equipment ae used to enhance
More informationCloud Service Reliability: Modeling and Analysis
Cloud Sevice eliability: Modeling and Analysis YuanShun Dai * a c, Bo Yang b, Jack Dongaa a, Gewei Zhang c a Innovative Computing Laboatoy, Depatment of Electical Engineeing & Compute Science, Univesity
More informationChapter 3 Savings, Present Value and Ricardian Equivalence
Chapte 3 Savings, Pesent Value and Ricadian Equivalence Chapte Oveview In the pevious chapte we studied the decision of households to supply hous to the labo maket. This decision was a static decision,
More informationPower Monitoring and Control for Electric Home Appliances Based on Power Line Communication
I²MTC 2008 IEEE Intenational Instumentation and Measuement Technology Confeence Victoia, Vancouve Island, Canada, May 12 15, 2008 Powe Monitoing and Contol fo Electic Home Appliances Based on Powe Line
More informationSELFINDUCTANCE AND INDUCTORS
MISN0144 SELFINDUCTANCE AND INDUCTORS SELFINDUCTANCE AND INDUCTORS by Pete Signell Michigan State Univesity 1. Intoduction.............................................. 1 A 2. SelfInductance L.........................................
More informationConverting 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 informationAlarm transmission through Radio and GSM networks
Alam tansmission though Radio and GSM netwoks 2015 Alam tansmission though Radio netwok RRIP12 RL10 E10C E10C LAN RL1 0 R11 T10 (T10U) Windows MONAS MS NETWORK MCI > GNH > GND > +E > DATA POWER DATA BUS
More informationExperiment 6: Centripetal Force
Name Section Date Intoduction Expeiment 6: Centipetal oce This expeiment is concened with the foce necessay to keep an object moving in a constant cicula path. Accoding to Newton s fist law of motion thee
More informationAn application of stochastic programming in solving capacity allocation and migration planning problem under uncertainty
An application of stochastic pogamming in solving capacity allocation and migation planning poblem unde uncetainty YinYann Chen * and HsiaoYao Fan Depatment of Industial Management, National Fomosa Univesity,
More informationAn Infrastructure Cost Evaluation of Single and MultiAccess Networks with Heterogeneous Traffic Density
An Infastuctue Cost Evaluation of Single and MultiAccess Netwoks with Heteogeneous Taffic Density Andes Fuuskä and Magnus Almgen Wieless Access Netwoks Eicsson Reseach Kista, Sweden [andes.fuuska, magnus.almgen]@eicsson.com
More informationThe Detection of Obstacles Using Features by the Horizon View Camera
The Detection of Obstacles Using Featues b the Hoizon View Camea Aami Iwata, Kunihito Kato, Kazuhiko Yamamoto Depatment of Infomation Science, Facult of Engineeing, Gifu Univesit aa@am.info.gifuu.ac.jp
More informationINVESTIGATION OF FLOW INSIDE AN AXIALFLOW PUMP OF GV IMP TYPE
1 INVESTIGATION OF FLOW INSIDE AN AXIALFLOW PUMP OF GV IMP TYPE ANATOLIY A. YEVTUSHENKO 1, ALEXEY N. KOCHEVSKY 1, NATALYA A. FEDOTOVA 1, ALEXANDER Y. SCHELYAEV 2, VLADIMIR N. KONSHIN 2 1 Depatment of
More informationTracking/Fusion and Deghosting with Doppler Frequency from Two Passive Acoustic Sensors
Tacking/Fusion and Deghosting with Dopple Fequency fom Two Passive Acoustic Sensos Rong Yang, Gee Wah Ng DSO National Laboatoies 2 Science Pak Dive Singapoe 11823 Emails: yong@dso.og.sg, ngeewah@dso.og.sg
More informationModeling and Verifying a Price Model for Congestion Control in Computer Networks Using PROMELA/SPIN
Modeling and Veifying a Pice Model fo Congestion Contol in Compute Netwoks Using PROMELA/SPIN Clement Yuen and Wei Tjioe Depatment of Compute Science Univesity of Toonto 1 King s College Road, Toonto,
More informationAn Analysis of Manufacturer Benefits under Vendor Managed Systems
An Analysis of Manufactue Benefits unde Vendo Managed Systems Seçil Savaşaneil Depatment of Industial Engineeing, Middle East Technical Univesity, 06531, Ankaa, TURKEY secil@ie.metu.edu.t Nesim Ekip 1
More informationTiming Synchronization in High Mobility OFDM Systems
Timing Synchonization in High Mobility OFDM Systems Yasamin Mostofi Depatment of Electical Engineeing Stanfod Univesity Stanfod, CA 94305, USA Email: yasi@wieless.stanfod.edu Donald C. Cox Depatment of
More informationIntroduction to Electric Potential
Univesiti Teknologi MARA Fakulti Sains Gunaan Intoduction to Electic Potential : A Physical Science Activity Name: HP: Lab # 3: The goal of today s activity is fo you to exploe and descibe the electic
More informationMultiband Microstrip Patch Antenna for Microwave Applications
IOSR Jounal of Electonics and Communication Engineeing (IOSRJECE) ISSN: 22782834, ISBN: 22788735. Volume 3, Issue 5 (Sep.  Oct. 2012), PP 4348 Multiband Micostip Patch Antenna fo Micowave Applications
More informationEpisode 401: Newton s law of universal gravitation
Episode 401: Newton s law of univesal gavitation This episode intoduces Newton s law of univesal gavitation fo point masses, and fo spheical masses, and gets students pactising calculations of the foce
More informationTowards Realizing a Low Cost and Highly Available Datacenter Power Infrastructure
Towads Realizing a Low Cost and Highly Available Datacente Powe Infastuctue Siam Govindan, Di Wang, Lydia Chen, Anand Sivasubamaniam, and Bhuvan Ugaonka The Pennsylvania State Univesity. IBM Reseach Zuich
More informationCollege of Engineering Bachelor of Computer Science
2 0 0 7 w w w. c n u a s. e d u College of Engineeing Bachelo of Compute Science This bochue Details the BACHELOR OF COMPUTER SCIENCE PROGRAM available though CNU s College of Engineeing. Fo ou most uptodate
More informationAn Introduction to Omega
An Intoduction to Omega Con Keating and William F. Shadwick These distibutions have the same mean and vaiance. Ae you indiffeent to thei iskewad chaacteistics? The Finance Development Cente 2002 1 Fom
More informationVector 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 informationAn Approach to Optimized Resource Allocation for Cloud Simulation Platform
An Appoach to Optimized Resouce Allocation fo Cloud Simulation Platfom Haitao Yuan 1, Jing Bi 2, Bo Hu Li 1,3, Xudong Chai 3 1 School of Automation Science and Electical Engineeing, Beihang Univesity,
More information2 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 informationMagnetic Field and Magnetic Forces. Young and Freedman Chapter 27
Magnetic Field and Magnetic Foces Young and Feedman Chapte 27 Intoduction Reiew  electic fields 1) A chage (o collection of chages) poduces an electic field in the space aound it. 2) The electic field
More information1.4 Phase Line and Bifurcation Diag
Dynamical Systems: Pat 2 2 Bifucation Theoy In pactical applications that involve diffeential equations it vey often happens that the diffeential equation contains paametes and the value of these paametes
More informationThe future challenges of Healthcare
The futue challenges of Healthcae D. Eich Hunzike CFO F. Hoffmann La Roche Ltd. JPMogan Healthcae Confeence San Fancisco, Januay 12, 2005 This pesentation contains cetain fowadlooking statements. These
More informationCONCEPTUAL FRAMEWORK FOR DEVELOPING AND VERIFICATION OF ATTRIBUTION MODELS. ARITHMETIC ATTRIBUTION MODELS
CONCEPUAL FAMEOK FO DEVELOPING AND VEIFICAION OF AIBUION MODELS. AIHMEIC AIBUION MODELS Yui K. Shestopaloff, is Diecto of eseach & Deelopment at SegmentSoft Inc. He is a Docto of Sciences and has a Ph.D.
More information883 Brochure A5 GENE ss vernis.indd 12
ess x a eu / u e a. p o.eu c e / :/ http EURAXESS Reseaches in Motion is the gateway to attactive eseach caees in Euope and to a pool of woldclass eseach talent. By suppoting the mobility of eseaches,
More informationThe impact of migration on the provision. of UK public services (SRG.10.039.4) Final Report. December 2011
The impact of migation on the povision of UK public sevices (SRG.10.039.4) Final Repot Decembe 2011 The obustness The obustness of the analysis of the is analysis the esponsibility is the esponsibility
More information&RQYHUWLQJ:DYH$XGLR)LOHV %URRNWURXW $SSOLFDWLRQ1RWH
&RQYHUWLQJ:DYH$XGLR)LOHV %URRNWURXW $SSOLFDWLRQ1RWH Conveting Wave Audio Files, Pat Numbe 00003504, Revision 1.10, June 1999 Copyight by Booktout Technology, Inc. This manual is copyighted and all ights
More informationGauss Law. Physics 231 Lecture 21
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 informationContinuous Compounding and Annualization
Continuous Compounding and Annualization Philip A. Viton Januay 11, 2006 Contents 1 Intoduction 1 2 Continuous Compounding 2 3 Pesent Value with Continuous Compounding 4 4 Annualization 5 5 A Special Poblem
More informationSupplementary Material for EpiDiff
Supplementay Mateial fo EpiDiff Supplementay Text S1. Pocessing of aw chomatin modification data In ode to obtain the chomatin modification levels in each of the egions submitted by the use QDCMR module
More informationSkills Needed for Success in Calculus 1
Skills Needed fo Success in Calculus Thee is much appehension fom students taking Calculus. It seems that fo man people, "Calculus" is snonmous with "difficult." Howeve, an teache of Calculus will tell
More informationApproximation Algorithms for Data Management in Networks
Appoximation Algoithms fo Data Management in Netwoks Chistof Kick Heinz Nixdof Institute and Depatment of Mathematics & Compute Science adebon Univesity Gemany kueke@upb.de Haald Räcke Heinz Nixdof Institute
More informationHigh Availability Replication Strategy for Deduplication Storage System
Zhengda Zhou, Jingli Zhou College of Compute Science and Technology, Huazhong Univesity of Science and Technology, *, zhouzd@smail.hust.edu.cn jlzhou@mail.hust.edu.cn Abstact As the amount of digital data
More informationQuestions for Review. By buying bonds This period you save s, next period you get s(1+r)
MACROECONOMICS 2006 Week 5 Semina Questions Questions fo Review 1. How do consumes save in the twopeiod model? By buying bonds This peiod you save s, next peiod you get s() 2. What is the slope of a consume
More informationGravitation. AP Physics C
Gavitation AP Physics C Newton s Law of Gavitation What causes YOU to be pulled down? THE EARTH.o moe specifically the EARTH S MASS. Anything that has MASS has a gavitational pull towads it. F α Mm g What
More informationEfficient 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 informationMulticriteria analysis in telecommunications
Poceedings of the 37th Hawaii Intenational Confeence on System Sciences  2004 Multiciteia analysis in telecommunications Janusz Ganat and Andze P. Wiezbicki National Institute of Telecommunications Szachowa
More informationThe LCOE is defined as the energy price ($ per unit of energy output) for which the Net Present Value of the investment is zero.
Poject Decision Metics: Levelized Cost of Enegy (LCOE) Let s etun to ou wind powe and natual gas powe plant example fom ealie in this lesson. Suppose that both powe plants wee selling electicity into the
More informationVoltage ( = Electric Potential )
V1 of 9 Voltage ( = lectic Potential ) An electic chage altes the space aound it. Thoughout the space aound evey chage is a vecto thing called the electic field. Also filling the space aound evey chage
More informationA Capacitated Commodity Trading Model with Market Power
A Capacitated Commodity Tading Model with Maket Powe Victo MatínezdeAlbéniz Josep Maia Vendell Simón IESE Business School, Univesity of Navaa, Av. Peason 1, 08034 Bacelona, Spain VAlbeniz@iese.edu JMVendell@iese.edu
More informationPhysics 235 Chapter 5. Chapter 5 Gravitation
Chapte 5 Gavitation In this Chapte we will eview the popeties of the gavitational foce. The gavitational foce has been discussed in geat detail in you intoductoy physics couses, and we will pimaily focus
More informationUNIVERSIDAD DE CANTABRIA TESIS DOCTORAL
UNIVERSIDAD DE CANABRIA Depatamento de Ingenieía de Comunicaciones ESIS DOCORAL Cyogenic echnology in the Micowave Engineeing: Application to MIC and MMIC Vey Low Noise Amplifie Design Juan Luis Cano de
More informationTHE DISTRIBUTED LOCATION RESOLUTION PROBLEM AND ITS EFFICIENT SOLUTION
IADIS Intenational Confeence Applied Computing 2006 THE DISTRIBUTED LOCATION RESOLUTION PROBLEM AND ITS EFFICIENT SOLUTION Jög Roth Univesity of Hagen 58084 Hagen, Gemany Joeg.Roth@Fenunihagen.de ABSTRACT
More informationTECHNICAL DATA. JIS (Japanese Industrial Standard) Screw Thread. Specifications
JIS (Japanese Industial Standad) Scew Thead Specifications TECNICAL DATA Note: Although these specifications ae based on JIS they also apply to and DIN s. Some comments added by Mayland Metics Coutesy
More informationDatabase Management Systems
Contents Database Management Systems (COP 5725) D. Makus Schneide Depatment of Compute & Infomation Science & Engineeing (CISE) Database Systems Reseach & Development Cente Couse Syllabus 1 Sping 2012
More informationON NEW CHALLENGES FOR CFD SIMULATION IN FILTRATION
ON NEW CHALLENGES FOR CFD SIMULATION IN FILTRATION Michael Dedeing, Wolfgang Stausbeg, IBS Filtan, Industiestasse 19 D51597 MosbachLichtenbeg, Gemany. Oleg Iliev(*), Zaha Lakdawala, Faunhofe Institut
More informationAdaptive Queue Management with Restraint on NonResponsive Flows
Adaptive Queue Management wi Restaint on NonResponsive Flows Lan Li and Gyungho Lee Depatment of Electical and Compute Engineeing Univesity of Illinois at Chicago 85 S. Mogan Steet Chicago, IL 667 {lli,
More informationElectricity transmission network optimization model of supply and demand the case in Taiwan electricity transmission system
Electicity tansmission netwok optimization model of supply and demand the case in Taiwan electicity tansmission system MiaoSheng Chen a ChienLiang Wang b,c, ShengChuan Wang d,e a Taichung Banch Gaduate
More informationQoSConstrained Resource Allocation for a GridBased Multiple Source Electrocardiogram Application
QoSConstained Resouce Allocation fo a GidBased Multiple Souce Electocadiogam Application Dong Su Nam 1,5, ChanHyun Youn 1,3, Bong Hwan Lee 2, Gai Cliffod 3, and Jennife Healey 4 1 School of Engineeing,
More informationDetermining solar characteristics using planetary data
Detemining sola chaacteistics using planetay data Intoduction The Sun is a G type main sequence sta at the cente of the Sola System aound which the planets, including ou Eath, obit. In this inestigation
More informationScheduling Hadoop Jobs to Meet Deadlines
Scheduling Hadoop Jobs to Meet Deadlines Kamal Kc, Kemafo Anyanwu Depatment of Compute Science Noth Caolina State Univesity {kkc,kogan}@ncsu.edu Abstact Use constaints such as deadlines ae impotant equiements
More informationPeertoPeer File Sharing Game using Correlated Equilibrium
PeetoPee 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 informationFinancial Derivatives for Computer Network Capacity Markets with QualityofService Guarantees
Financial Deivatives fo Compute Netwok Capacity Makets with QualityofSevice Guaantees Pette Pettesson pp@kth.se Febuay 2003 SICS Technical Repot T2003:03 Keywods Netwoking and Intenet Achitectue. Abstact
More informationCoordinate Systems L. M. Kalnins, March 2009
Coodinate Sstems L. M. Kalnins, Mach 2009 Pupose of a Coodinate Sstem The pupose of a coodinate sstem is to uniquel detemine the position of an object o data point in space. B space we ma liteall mean
More informationReferral service and customer incentive in online retail supply Chain
Refeal sevice and custome incentive in online etail supply Chain Y. G. Chen 1, W. Y. Zhang, S. Q. Yang 3, Z. J. Wang 4 and S. F. Chen 5 1,,3,4 School of Infomation Zhejiang Univesity of Finance and Economics
More informationEvidence for the exponential distribution of income in the USA
Eu. Phys. J. B 2, 585 589 (21) THE EUROPEAN PHYSICAL JOURNAL B c EDP Sciences Società Italiana di Fisica SpingeVelag 21 Evidence fo the exponential distibution of income in the USA A. Dăgulescu and V.M.
More informationModal Characteristics study of CEM1 SingleLayer Printed Circuit Board Using Experimental Modal Analysis
Available online at www.sciencediect.com Pocedia Engineeing 41 (2012 ) 1360 1366 Intenational Symposium on Robotics and Intelligent Sensos 2012 (IRIS 2012) Modal Chaacteistics study of CEM1 SingleLaye
More informationPAN STABILITY TESTING OF DC CIRCUITS USING VARIATIONAL METHODS XVIII  SPETO  1995. pod patronatem. Summary
PCE SEMINIUM Z PODSTW ELEKTOTECHNIKI I TEOII OBWODÓW 8  TH SEMIN ON FUNDMENTLS OF ELECTOTECHNICS ND CICUIT THEOY ZDENĚK BIOLEK SPŠE OŽNO P.., CZECH EPUBLIC DLIBO BIOLEK MILITY CDEMY, BNO, CZECH EPUBLIC
More informationAnalyzing Ballistic Missile Defense System Effectiveness Based on Functional Dependency Network Analysis
Send Odes fo Repints to epints@benthamscience.ae 678 The Open Cybenetics & Systemics Jounal, 2015, 9, 678682 Open Access Analyzing Ballistic Missile Defense System Effectiveness Based on Functional Dependency
More informationA Comparative Analysis of Data Center Network Architectures
A Compaative Analysis of Data Cente Netwok Achitectues Fan Yao, Jingxin Wu, Guu Venkataamani, Suesh Subamaniam Depatment of Electical and Compute Engineeing, The Geoge Washington Univesity, Washington,
More informationInstituto Superior Técnico Av. Rovisco Pais, 1 1049001 Lisboa Email: virginia.infante@ist.utl.pt
FATIGUE LIFE TIME PREDICTIO OF POAF EPSILO TB30 AIRCRAFT  PART I: IMPLEMETATIO OF DIFERET CYCLE COUTIG METHODS TO PREDICT THE ACCUMULATED DAMAGE B. A. S. Seano 1, V. I. M.. Infante 2, B. S. D. Maado
More informationPRICING MODEL FOR COMPETING ONLINE AND RETAIL CHANNEL WITH ONLINE BUYING RISK
PRICING MODEL FOR COMPETING ONLINE AND RETAIL CHANNEL WITH ONLINE BUYING RISK Vaanya Vaanyuwatana Chutikan Anunyavanit Manoat Pinthong Puthapon Jaupash Aussaavut Dumongsii Siinhon Intenational Institute
More informationMATHEMATICAL SIMULATION OF MASS SPECTRUM
MATHEMATICA SIMUATION OF MASS SPECTUM.Beánek, J.Knížek, Z. Pulpán 3, M. Hubálek 4, V. Novák Univesity of South Bohemia, Ceske Budejovice, Chales Univesity, Hadec Kalove, 3 Univesity of Hadec Kalove, Hadec
More informationLearning Objectives. Decreasing size. ~10 3 m. ~10 6 m. ~10 10 m 1/22/2013. Describe ionic, covalent, and metallic, hydrogen, and van der Waals bonds.
Lectue #0 Chapte Atomic Bonding Leaning Objectives Descibe ionic, covalent, and metallic, hydogen, and van de Waals bonds. Which mateials exhibit each of these bonding types? What is coulombic foce of
More informationThe Impact of Radio Propagation Models on Ad Hoc Networks Performances
Jounal of Compute Science 8 (5): 752760, 2012 ISSN 15493636 2012 Science Publications The Impact of Radio Popagation Models on Ad Hoc Netwoks Pefomances 1 Rhattoy, A. and 2 A. Zatni 1 Depatment of Compute,
More informationProblems on Force Exerted by a Magnetic Fields from Ch 26 T&M
Poblems on oce Exeted by a Magnetic ields fom Ch 6 TM Poblem 6.7 A cuentcaying wie is bent into a semicicula loop of adius that lies in the xy plane. Thee is a unifom magnetic field B Bk pependicula to
More information4a 4ab b 4 2 4 2 5 5 16 40 25. 5.6 10 6 (count number of places from first nonzero digit to
. Simplify: 0 4 ( 8) 0 64 ( 8) 0 ( 8) = (Ode of opeations fom left to ight: Paenthesis, Exponents, Multiplication, Division, Addition Subtaction). Simplify: (a 4) + (a ) (a+) = a 4 + a 0 a = a 7. Evaluate
More informationCOMPLYING WITH THE DRUGFREE SCHOOLS AND CAMPUSES REGULATIONS
Highe Education Cente fo Alcohol and Othe Dug Abuse and Violence Pevention Education Development Cente, Inc. 55 Chapel Steet Newton, MA 024581060 COMPLYING WITH THE DRUGFREE SCHOOLS AND CAMPUSES REGULATIONS
More informationGive 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 HansJög Schek Email: Database Reseach Goup Institute of Infomation Systems ETH Zentum, 8092
More informationDeflection of Electrons by Electric and Magnetic Fields
Physics 233 Expeiment 42 Deflection of Electons by Electic and Magnetic Fields Refeences Loain, P. and D.R. Coson, Electomagnetism, Pinciples and Applications, 2nd ed., W.H. Feeman, 199. Intoduction An
More informationThe Electric Potential, Electric Potential Energy and Energy Conservation. V = U/q 0. V = U/q 0 = W/q 0 1V [Volt] =1 Nm/C
Geneal Physics  PH Winte 6 Bjoen Seipel The Electic Potential, Electic Potential Enegy and Enegy Consevation Electic Potential Enegy U is the enegy of a chaged object in an extenal electic field (Unit
More information