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Uni. Worcester - WORKSHOP - 08
Opportunistic RF Localization for Next Generation Wireless Devices June 16-17, 2008 Worcester Polytechnic Institute Worcester, MA, USAUnderstanding and Capturing People's Privacy Preferences in a Friend Finder ApplicationNorman M. Sadeh - www.cs.c
Uni. Worcester - WORKSHOP - 08
Opportunistic RF Localization for Next Generation Wireless Devices June 16-17, 2008 Worcester Polytechnic Institute Worcester, MA, USALocation using Pattern Matching of Wireless Network MeasurementsOpportunistic RF Localization for Next Generatio
Uni. Worcester - WORKSHOP - 08
Opportunistic RF Localization for Next Generation Wireless Devices June 16-17, 2008 Worcester Polytechnic Institute Worcester, MA, USA6/22/2008Hybrid Positioning GNSS, Cell-ID, Wi-Fi Bluetooth C ll ID Wi Fi, Bl t th, FM & TVOpportunistic Locatio
Uni. Worcester - WLANS - 96
HIPERLANTim WilkinsonHP Labs EuropeWhat is HIPERLAN?HIPERLAN - HIgh PErformance Radio LAN HIPERLAN is a new standard for Radio LANs developed in Europe by ETSI HIPERLAN is an interoperability standard which specifies a common air interface MAC
Uni. Worcester - WLANS - 96
Wireless LAN in JapanTechnologies, Market and Regulation Present and Future0DVDKDUX 0RUL &ODULRQ &R /WG 6DLWDPD -DSDQ10/25/961ContentsXPresent Wireless LAN in Japan : Products and Technologies : Market and Application : Regulations X Futur
Uni. Worcester - WORKSHOP - 08
Opportunistic RF Localization for Next Generation Wireless Devices June 16-17, 2008 Worcester Polytechnic Institute Worcester, MA, USAClick to edit Master title styleTV+GPS Location and TimingTodd Young VP Marketing tyoung@rosum.com www.rosum.co
Uni. Worcester - WORKSHOP - 08
Opportunistic RF Localization for Next Generation Wireless Devices June 16-17, 2008 Worcester Polytechnic Institute Worcester, MA, USARecovery vs Location Opportunities and Challenges Arvind Ramadorai Vice President, New Products/New Business June
Uni. Worcester - WORKSHOP - 08
Opportunistic RF Localization for Next Generation Wireless Devices June 16-17, 2008 Worcester Polytechnic Institute Worcester, MA, USAOpportunistic and Hybrid LocalizationFarshid Alizadeh 6/17/2008Outline Introduction WPS? WPS unique features
Uni. Worcester - WLANS - 96
Wireless LAN Research LaboratoryCWINSPerformance Monitoring And Deployment ToolsPresented by: Prof. K. Pahlavan Project Staff: A.Zahedi, P.Krishnamurthy, A.Falsafi, M.H. Ali, S. Bagchi, M.Dembele, J.Robinson, A.MessierWireless LAN Research
Uni. Worcester - WLANS - 96
JOLT CORPORATE LECTURE FULL THROUGHPUT WIRELESS ATM Presented by : Dr. David B. Medved, President The Second IEEE Workshop on Wireless LANs October 24-25, 1996 Worcester Polytechnic InstitutePg. 1UWIN Features Widebandwidth DC-155 Mbps Protoc
Uni. Worcester - SOLUTION - 05
Received RF signal Location SensingLocation metrics: TOA, AOA, RSS, .Location coordinates (x, y, z)Positioning Algorithm Location SensingDisplay SystemFigure 13.1 Functional block diagram of a wireless geolocation system.xt (t ) = At cos(
Uni. Worcester - SOLUTION - 05
PowerCellular/PCSWLAN UWB1 2 3 5 10f (GHz)Figure 12.1 Relative power limits and the bandwidths available for cellular/PCS, WLAN and UWB.P (dBm)-41.3-501.91-60-70-80 0.96 1.61 3.1 10.6f (GHz)Focus of the IEEE 802.15.3aFigur
Uni. Worcester - SOLUTION - 05
CKt0 t1 1 0 0 0 1 0t2 1 0 1t3 1 1 0(b)t4 1 1 1 f7t5 0 1 1t6 0 0 1t7 1 0 0 f4D2 D1CKD2(a)D1D0D0 fcf4 f2f5 f6f3 f1FrequencyInformation Bitsf7 f6 f5 f4 f3 f2 f1(c)TimeFigure 10.1 The LFSR code of length 7 with
Uni. Worcester - SOLUTION - 05
CableNetwork Analyzerff0ff0+f(a)W(k) CZT h(n) or h()H(k)f1/fn or Time span: 1/f tk or f fk or f(b)Figure 5.12 (a) Basic block diagram of frequency response measurements using a network analyzer measurement system (b) post
Uni. Worcester - SOLUTION - 05
Slow fading: Histogram of deviations is shadow fadingPower in dBLinear fit to received power: Slope is the distance-power gradientFast fading: Histogram of deviations is multipath fading Fourier transform of deviations is Doppler spectrumDist
Uni. Worcester - SOLUTION - 05
Total Bandwidth of W-20 -25N CarriersSignal Strength in dB-30 -35 -40 -45 -50 -55 -60fFrequency Selective Fading-50 0 50frequency (in MHz)Figure 9.28 Frequency selective fading and MCMEE538 Lecture 7Symbols 4-pilot and 12-virtual
Uni. Worcester - SOLUTION - 05
Figure 15.5 GPRS architectureMSC/VLR EIR Gf TE BSS G b Gs SGSN Gp SGSNSignaling and data interface Signaling interfaceSMS-GMSC SMS-IWMSC Gd Gr HLR Gc GGSN Gi PDNUmGnGPRS Core networkFigure 15.5 GPRS network architecture52 TDMA framesB
Uni. Worcester - SOLUTION - 05
Figure 11.5: Different deployment strategies for WLANs [Unb02].Figure 11.6: Example of user installation and grid installation in a shopping area [Unb02].Figure 11.7: Grid installation along a street in a down town area [Unb02].(a)(b)(c)F
Uni. Worcester - SOLUTION - 05
IncomeFIXEDWIRELESS 1990INTERNET 2000 YearFig. 2.1 Relative income growth of the fixed telephone network, wireless, and Internet industries.MobilityVehicleWide Area Network (WAN) - Licensed bands WLAN - High speed unlicensed 3G Cellular
Uni. Worcester - SOLUTION - 05
Voice-Oriented Tariff Mobility Intelligent NetworkData-Oriented Users per network Compatibility with LANs MobilityCoverageService quality Power consumptionCoverageData rate Size/power consumptionMobile Data WLAN/WPANCellular Phone Cordle
Uni. Worcester - SOLUTION - 05
m=2, M=4d =2 E =E4 2 Es 53 E E3 EFigure 7.7 : 4-PAM constellation3 EEm=42 4 d =2 E = Es 5E3 E E E3 E3 EFigure 7.9 : 16 QAM constellationEsd = 2 Es sinMMEsPs 0.5erfc sin EsM N0Figure 10: Minimum distan
Uni. Worcester - SOLUTION - 05
High b and low Pe close to minimum of 0 Average bPe ~ bPe-th ~ thLow b and high Pe close to maximum of 0.5TimeFigure 8.1 Relation between error rate, outage rate and fading characteristics.Diversity Branch 1Pe-th ~ th Pe ~ bDive
Uni. Worcester - WLANS - 96
VLSI AND SOFTWARE RADIOS By John Fakatselis Harris semi.AP96358 2-1CONTRIBUTING ENABLING TECHNOLOGIES TO VLSI RADIOS. Process Technology Package Technology IC Simulation Tools System Simulation ToolsRADIO DESIGN EXAMPLE AN EXAMPLE OF A V
Uni. Worcester - CS - 525
The Q-matrix Method: Mining Student Response Data for KnowledgeTiffany BarnesDepartment of Computer Science University of North Carolina at Charlotte Charlotte, NC 28223 tbarnes2@uncc.eduAbstractAlthough many talented researchers have created ex
Uni. Worcester - CS - 525
A formative evaluation of a tutor for scatterplot generation: evidence on difficulty factorsRyan Shaun BAKER, Albert T. CORBETT, Kenneth R. KOEDINGER, Michael P. SCHNEIDER Carnegie Mellon University, 5000 Forbes Ave., Pittsburgh, PA 15213 USA rsbake
Uni. Worcester - CS - 525
Toward a Model of Learning Data RepresentationsRyan Shaun Baker (rsbaker@cmu.edu)Human-Computer Interaction Institute, Carnegie Mellon University Pittsburgh, PA 15213 USAAlbert T. Corbett (corbett+@cmu.edu)Human-Computer Interaction Institute, C
Uni. Worcester - CS - 525
The Study of TransferThe aim of this book is to apply some of the modern formalisms of cognitive psychology to an age-old practical problem: the transfer of learning. The study of transfer is the study of how knowledge acquired in one situation appl
Uni. Worcester - CS - 4341
}n p Hc|w |l}x{tw8u@F8cxtr |Dtqcv|Dvuxxux}vVDbt8ccqVv4 } n ps}q q{ s q s n { p n} y s y q{ { n} y p pq s{ n { n} p z zs} ys q {}q p s sq { { n } n p y { n p z s w{ v"8Dc88vDvc|qVD|Vvctwcf|c}0V"z VDc8s |tqYu8tH8xpqy|
Uni. Worcester - CS - 4341
Uni. Worcester - CS - 4341
Using Bayesian Networks to Predict Test Scoresby Zach PardosNeil Heffernan, Advisor04/14/09 ASSISTment 1Introduction Overview ASSISTment tutoring system The Task Bayesian networks Platform selection04/14/09ASSISTment2ASSISTment Tuto
Uni. Worcester - CS - 4341
#Neil Heffernan#N#e#i#l# #H#e#f#f#e#r#n#a#n#,#W#P#I# #C#o#m#p#u#t#e#r# #S#c#i#e#n#c#e#_#Pn#$v#
Uni. Worcester - CS - 525
Using Think-Aloud Protocols to Understand Student Thinking Sept 22: Class 3: Lecture 2Intelligent Tutoring Systems & Cognitive Modeling Slides modified from Ken Koedinger & Vincent AlevenAssociated reading: Lovett, M. (1998). In Proceedings o
Uni. Worcester - CS - 525
Natural language in Tutoring SystemsOther related systemsAutoTutorAutoTutor: When a car without headrests on the seats is struck from behind, the passengers often suffer neck injuries. Why do passengers get neck injuries in this situation? (MAI
Uni. Worcester - CS - 534
Common Comments I made on Reports 1) You might have a nice implementation but your don't show me that it works by showing me example outputs. 2) Maybe you have example outputs of your program but your should have comments that describe how the system
Uni. Worcester - CS - 2
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Uni. Worcester - CS - 2102
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Uni. Worcester - CS - 16
C:\apache\htdocs\classes\cs2102-D07\April16-ArrayList-Generic-Hash\.metadata\.plugins\org.eclipse.jdt.core\2375227097.indexC:\apache\htdocs\classes\cs2102-D07\April16-ArrayList-Generic-Hash\.metadata\.plugins\org.eclipse.jdt.core\1985572385.index
Uni. Worcester - CS - 2102
C:\apache\htdocs\classes\cs2102-D07\April16-ArrayList-Generic-Hash\.metadata\.plugins\org.eclipse.jdt.core\2375227097.indexC:\apache\htdocs\classes\cs2102-D07\April16-ArrayList-Generic-Hash\.metadata\.plugins\org.eclipse.jdt.core\1985572385.index
Uni. Worcester - ITS - 2006
(This paper has been submitted to ITS2006.) Prevention of Off-Task Gaming Behavior in Intelligent Tutoring SystemsJason A. Walonoski, Neil T. HeffernanWorcester Polytechnic Institute, Computer Science Department, 100 Institute Rd, Worcester, MA 016
Uni. Worcester - ITS - 2006
To be submitted to ITS2006 http:/www.its2006.org/ Title: Knowledge Engineering for Intelligent Tutoring Systems: Using machine learning assistance to help humans tag questions to skills based upon the words in the questions Kevin Kardian & Neil T. He
Uni. Worcester - ITS - 2006
Section: How our fine-grained WPI78 model was created, and use to create the WPI5 In April of 2005, we staged an 7 hour long coding session, where our Subject matter expert, Cristina Heffernan, with the asstance of the 2nd author set out to tag all o
Uni. Worcester - ITS - 2006
Using Fine-Grained Skill Models to Fit Student Performance with Bayesian NetworksZachary A. Pardos Neil T. Heffernan Worcester Polytechnic Institute zpardos@wpi.edu nth@wpi.edu Brigham Anderson Carnegie Mellon University brigham@cmu.edu Cristina L.
Uni. Worcester - GK - 12
Facilities, Equipment & Other ResourcesPIs Current Computer Facilities The PIs together already manage, for their individual research labs, a total of 23 high-end machines, of which about half of them constitute developer machines and half constitu
Uni. Worcester - GK - 12
2. GOALS AND OBJECTIVES Our project goals are to: 1) enhance the GK-12 Teaching Fellows communication skills, team building, teaching, and collaboration which will enrich STEM learning, 2) make our participating teachers more effective by giving them
Uni. Worcester - GK - 12
References Chen, Z. & Klahr, D. (1999). All other things being equal: Children's acquisition of the control of variables strategy, Child Development, 70, 1098 - 1120. Feng, M., Heffernan, N. & Koedinger, K. (2006a). Predicting state test scores bette
Uni. Worcester - GK - 12
Biographical SketchName: Address: Email: Web: Phone: Fax: Education University University University University Appointments Associate Professor, Department of Computer Science Worcester Polytechnic Institute (WPI). Worcester, MA. Assistant Professo
Uni. Worcester - GK - 12
Neil T. Heffernan III A. Professional Preparation Ph. D. Computer Science. Carnegie Mellon University. 2001 M.S. Computer Science. Carnegie Mellon University. 1997 B.A. Computer Science and History. Amherst College. Summa cum laude. 1993. B. Recent A
Uni. Worcester - GK - 12
BIOGRAPHICAL SKETCH Robert W. Lindeman Assistant Professor, Dept. of Computer Science, WPI, 100 Institute Rd., Worcester, MA 01609 Professional Preparation Sc.D., Computer Science 1993-1999 M.S., Systems Management 1991-1992 B.A., Computer Science 19
Uni. Worcester - GK - 12
BIOGRAPHICAL SKETCH - Murali ManiTitle: Assistant Professor Aliation: Computer Science Dept, WPI Mailing Address: 100 Institute Rd, Worcester, MA 01609 Email: mmani@cs.wpi.edu Phone: 508.831.6421 Homepage: http:/www.cs.wpi.edu/mmani PROFESSIONAL PRE
Uni. Worcester - GK - 12
BIOGRAPHICAL SKETCH GEORGE T. HEINEMANAssociate Professor Department of Computer Science Worcester Polytechnic Institute (WPI) 100 Institute Road Worcester, MA 01609-2280 Tel: Fax: URL: email: 508-831-5502 508-831-5776 http:/www.cs.wpi.edu/~heinema
Uni. Worcester - GK - 12
Narrative Summary: Gary Pollice Professor Pollices contributions to the field of software engineering are recognized in the academic and professional domains. He has worked for several leading technology companies, such as Sun Microsystems, Digital E
Uni. Worcester - GK - 12
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Uni. Worcester - GK - 12
This Appendix contains1) List of MME content cources for cooperating Math Teachers (we did not have space for equivaenlt science listings 2) A Course Description for MME 562 which both GK12 Fellows and the K12 Math teachers could take together on u
Uni. Worcester - IQP - 10
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Uni. Worcester - CS - 4341
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Uni. Worcester - CS - 16
April16-ArrayList-GenericHashReading for lab pp. 825-830- linker list Section 15.3, 15.4, 15.5Goals Today To Know How to use an ArrayList Understand how an arraylist works underneath the hood Understand generics, and why they are good, and how
Uni. Worcester - CS - 2102
April16-ArrayList-GenericHashReading for lab pp. 825-830- linker list Section 15.3, 15.4, 15.5Goals Today To Know How to use an ArrayList Understand how an arraylist works underneath the hood Understand generics, and why they are good, and how
Uni. Worcester - WLAN - 01
A Framework for Indoor Geolocation using an Intelligent SystemChah Nerguizian, Charles Despins and Sofine AffesINRS-Tlcommunications1Chah Nerguizian, 3rd WLAN Workshop 2001Wireless ApplicationsWireless Network Wireless Telecommunications Vo
Uni. Worcester - ETD - 0430103
Pricing Mortgage-Backed Securities using PrepaymentFunctions and Pathwise Monte Carlo Simulation. By Osman Acheampong A Professional Masters Project Submitted to the Faculty Of WORCESTER POLYTECHNIC INSTITUTE In partial fulfillment of the requiremen
Uni. Worcester - ETD - 011007
Wavelength Conversion Using Reconfigurable Photonic Crystal MEMS/NEMS Structures by Kahraman Daglar AkdemirA Thesis Submitted to the Faculty of the WORCESTER POLYTECHNIC INSTITUTE in partial fulfillment of the requirements for the Degree of Master