Accuracy and Reliability Frame error Nonresponse error Specification error Measurement error
e-WUW: Technology with increased accuracy of One (1) error per 23,635 words!
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01/26/22Dr. V. Këpuska Harris Grant Proposal Hi Neyti ri! 2 1 2 3 Dr. Kepuska (PI), Dr. Carstens (Co-PI) + 3 PhD’s: $293,564 + $109,047 (Tuition) + $ 29,000 (Misc) 3 Years Total (including FIT’s MTDC): $509,808 or $169,935/year 1 2 3 4 5 6 7 8 Q uarter M onth Jan Feb M ar A pr M ay Jun Jul A ug Sep O ct N ov D ec Jan Feb M ar A pr M ay Jun Jul A ug Sep O ct N ov D ec Y ear Y ear Evaluation ofthe System on Sentinel W ord D etection & R ecogntion, and C ontextD iscrim ination Q1 Q2 Q3 Q4 Q1 Q2 Q3 Q4 Research, Investigate + Refinem entofD erived Prosodic FeaturesforContextD iscrm iniation Integratation ofthe e-W UW w ith W in.7 & its perform ance evaluation on com m on/useful tasks using only V oice D ata Collection From : M ovie Clips, A cquisition ofCorpora from LD C, H arris Procure Resources: PhD s, Students Integration ofProsodic Feature Generation into e-W UW A pplication ofExisting Prosodic and Spectral Featuresto Sentinel W ord ContextD iscrim ination Sentinel W ord ContextD iscrim ination M odel Integration in e-W UW SR 2012 Y ear 2012 2013 8 8 Tasks List Tim e Table Y ear 1 3 2 5 4 6 7 Y ear 2011
description
Time Table. Dictation System. e-WUW: Technology with increased accuracy of One (1) error per 23,635 words!. “ Jake !” …. Command and Control. e-WUW Recognizer. Text-to-Speech. 1. 1. Hi Neytiri !. 2. 2. Application Dependent Actions. 3. 3. - PowerPoint PPT Presentation
Transcript of e-WUW: Technology with increased accuracy of One (1) error per 23,635 words!
04/24/23 Dr. V. Këpuska Harris Grant Proposal
Hi Neytiri!2
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Dr. Kepuska (PI), Dr. Carstens (Co-PI) + 3 PhD’s: $293,564 + $109,047 (Tuition) + $ 29,000 (Misc)3 Years Total (including FIT’s MTDC): $509,808 or $169,935/year
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Year QuarterMonth Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Year
Year
Evaluation of the System on Sentinel Word Detection & Recogntion, and Context Discrimination
Q1 Q2 Q3 Q4Q1 Q2 Q3 Q42012
Research, Investigate + Refinement of Derived Prosodic Features for Context DiscrminiationIntegratation of the e-WUW with Win. 7 & its performance evaluation on common/useful tasks using only Voice
Data Collection From: Movie Clips, Acquisition of Corpora from LDC, HarrisProcure Resources: PhDs, Students
Integration of Prosodic Feature Generation into e-WUWApplication of Existing Prosodic and Spectral Features to Sentinel Word Context DiscriminationSentinel Word Context Discrimination Model Integration in e-WUW SR
2012
Yea
r 2
2012 2013
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Tasks List
Time Table
Yea
r 3
1 32
5
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67
2013
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r 1
2011
Low-Dose Computed Tomography
ResearchRemoving noise from CT, ultrasound and MRI imagery using advanced
methods
Normal CT scan
Reducing dose increases noise Reduced dose
version after processing
S. P. KozaitisElectrical and Computer Engineering Department
User Interface Window: Contains the following information:•Floor Number•Time-Out Period Indicated with the Bars.
Feedback Window: Contains information regarding the functioning of the system
Continuous Time-Out Bar
Elevator Simulator GUI
CommandsWake-Up-Word (e.g. “OPERATOR”)
Wait for SoundCommand:
Open Elevator DoorClose Elevator DoorTake me to X floor,Please take me to X1, X2 , … X5 floor. (Not the
program will reorder the floors as necessary).Top FloorBottom Floor, etc.
Presenting: Gabriel Lapilli
Chelakara Subramanian, Jean-Paul Pinelli, Ivica Kostanic, Gabriel Lapilli, Jiten Chandiramani, Connor Poske
Florida Institute of Technology2011
ScopePurpose of the project
Description of the system itself
Data analyses and information that can be extracted
Summary
Importance of Full-Scale measurementsFull-Scale measurements must exist to provide:a)A way of validating wind tunnel measurements,
numerical simulations and any other predictionsb)Information to improve the models used
Particularly of interest:1.Frequency pressure spectrum for structural
analysis and turbulence modeling2.Peak pressure measurement and prediction for
code validation
System Overview
Remote sensor units
wireless card
cellular tower
Public Internet
Cellular data network
Central server
Public Internet
Laptop + base unitwireless
card
cellular tower
House installation
Laptop + base unit
Remote sensor units
Communication network
HardwareSurface mount boardBuilt using liquid solder,
stencil and baked in infrared oven
Pressure transducer: MP3H6115AC6U from Freescale Semiconductors
Temperature transducer: MCP9700AT-E/TT from Microchip Technologies
Xbee-Pro TransceiverDirect USB firmware updatesLi-ion batteriesCharger circuit on board:
900mA current (complete charge time: 6 hours)
48 MHz PIC18LF2553 (12 bit A/D converter)
Pressure Transducer
Temperature Transducer
USB Port
Transceiver
Li-Ion 6000 mAh 3.7V batteryPIC processor
HardwareExpansion slot:Possibility to mount
almost any sensor with an adapter board
Used for anemometer (speed and direction)
Xbee-Pro Transceiver:2.4GHz Frequency15 channelsOn-chip antenna35kbps throughputEach transceiver has a
unique IDTalking order is self-
negotiated
Expansion Slot
Antenna
HardwareSame board, different
setups:Pressure and temperature
sensor boardsRouterAnemometer board
Base unitCustom plastic cases
LightweightNo interference with
radio signals (no need for external antenna on sensors)
Rubber molds
HardwareRouterActs as a “bridge”Increased range
(higher gain omnidirectional antenna)
Connection is negotiated when units are turned on or when software is restarted
Sensors can talk either directly to base or through a router
SoftwareMain screen:
Network tree display
Right-click menus
Change status of sensors (start-stop)
Hardware wireless reset of PIC (for frozen sensors)
Real-time graph
Real-time information
SoftwareData Logging:Plain text comma-
separated value files (.csv)
Can be opened in any text editor or spreadsheet software
Logging in 5-minutes chunks for data transmission to central server
System PerformanceSample rate: Full system (30 sensors, with 3 routers and anemometer) runs smoothly at 30 samples/sec
Total Packet Loss (full deployment) <1%
Behavior5-day comparison with Paroscientific MET3A station (certified ±0.08mbar), part of the Suominet Network, located at Florida Institute of Technology’s campus
Accuracy
Sample Size:128 points of mean data + raw 10Hz dataMean data interpolated to 10Hz signal
From hour 45 to hour 105: Standard deviation of means (all sensors) = 0.0404 mbar(Tends to zero as # Samples→infinity)
PrecisionStandard Deviation of samples (subtracted means): 0.3085 mbarThis means that the system was capable of measuring signals with a total maximum error of ±0.61 mbar in a confidence level of 95.45%, an order of magnitude lower than the pressure differences measured during a hurricane.
Heavy Thunderstorm
AdvantagesNon-Intrusive: No need for wires, holes, special connections
Easily deployable: whole setup process takes less than 1 hour
Loss-safe: Data is transmitted on real time to central server, and also stored locally (in case communication fails)
Robustness: Communication with sensors is automatically renegotiated if signal is lost
Data Analysisa. Spectrum analysis: To determine which frequencies are pertinent to study for structural purposes. Currently observing over different averages and window sizes
0 5 10 15 20 250
10
20
30
40
50
60
Time (h)
Vel
ocity
(m/s
)
Hurricane Rita 2005 time history (FCMP tower 0, 10m height)
Before the peakDuring the peakAfter the peak
10-3
10-2
10-1
100
0
0.2
0.4
0.6
0.8
1
1.2x 10
-3
Frequency (Hz)
V(
) V*(
)/2 U
Hurricane Rita 2005 - Spectrums (20-min window)
Before the peakDuring the peakAfter the peak
10-3
10-2
10-1
100
0
0.2
0.4
0.6
0.8
1
1.2x 10
-3
Frequency (Hz)
V(
) V*(
)/2 U
Hurricane Rita 2005 - Spectrums (5-min window)
10-3
10-2
10-1
100
0
0.2
0.4
0.6
0.8
1
1.2x 10
-3
Frequency (Hz)
V(
) V*(
)/2 U
Hurricane Rita 2005 - Spectrums (10-min window)
Data Analysisb. Correlation analysis: To determine pressure effects variation, uniformity of the pressure readings and relationship between velocity and pressure (effect of gusts can be analyzed)
SummarySystem has proved to be reliable and robust
Currently working on data analysis and post processing techniques
Planning real storm deployment for coming season
Test on IBHS full-scale wind tunnel in South Carolina scheduled for this Spring
This material is based upon work supported by the National Science Foundation under Grant No. 0625124, and by the Division of Emergency Management of
the Florida Department of Community Affairs under Grant No. 10-RC-26-12-00-22-254.
Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation or the Florida Department of Community Affairs.
?
SmartPhone
8/12/2011FaST - Florida Institute of Technology 22
Team Faculty Member: Dr. Veton KëpuskaStudents: Guinevere Shaw,
Christopher Kovalik, Salvador Macaraig, Jordan Arnold
Team Advisor: Paul Karaffa
8/12/2011 FaST - Florida Institute of Technology 23
The ProjectWhat are the energy saving benefits:
from the convergence of consumer products into one device such as a SmartPhone or Tablet, vs.
single-function products, and how are they changing the consumptive
behavior of humans?
8/12/2011 FaST - Florida Institute of Technology Slide 24
Project OverviewTo investigate the battery consumption of
smartphones and tablets using different applications.
To compare popular applications to relevant stand-alone devices in the market today (portable gaming, scanning, music players, etc. )
To compare applications and smartphone devices among each other
8/12/2011 FaST - Florida Institute of Technology Slide 25
Operating Systems Operating Systems
iOS (Apple)Blackberry (RIM)Android (Google)Windows Phone 7
(Microsoft)
8/12/2011 FaST - Florida Institute of Technology 26
Phones and Tablets Tested:iPhone 4iPad 2Samsung Galaxy S
PhoneSamsung Galaxy
TabletSamsung FocusBlackberry Curve 9300
8/12/2011 FaST - Florida Institute of Technology Slide 27
February 2011
8/12/2011 FaST - Florida Institute of Technology Slide 28
8/12/2011 FaST - Florida Institute of Technology Slide 29
Measurements Provided By OSMeasurements Provided By OS
PhoneTest
Samsung Galaxy S Phone
Samsung Galaxy
Tab
Samsung
Focus
iPhone 4
iPad 2
Blackberry Curve
Percentage of battery Remaining
X X X X X XBattery Temperature X X X XBattery Voltage X X X
8/12/2011 FaST - Florida Institute of Technology Slide 30
Applications that we have written (iOS, Android), downloaded, (Blackberry), or that are built-in (Windows 7)
8/12/2011 FaST - Florida Institute of Technology Slide 31
Battery Information
8/12/2011 FaST - Florida Institute of Technology 32
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8/12/2011 FaST - Florida Institute of Technology 34
[Wh]Power Consumption Smart Device
Alarm Clock 3 0.0685 Radio (FM/AM) 8 0.0852Camera (5MP) 4.71 0.0958mp3 Player 3.44 0.0763Voice Recorder 0.1125 0.0726Netbook 35 0.1054Handheld Game Device 3 0.1114TV Service 44 0.0943
8/12/2011 FaST - Florida Institute of Technology Slide 35
Alarm Clock Example 3 [Wh]
8/12/2011 FaST - Florida Institute of Technology Slide 36
Comcast TV Box 44 [Wh]
8/12/2011 FaST - Florida Institute of Technology Slide 37
8/12/2011 FaST - Florida Institute of Technology 38
8/12/2011 FaST - Florida Institute of Technology Slide 39
8/12/2011 FaST - Florida Institute of Technology 40
8/12/2011 FaST - Florida Institute of Technology Slide 41
8/12/2011 FaST - Florida Institute of Technology Slide 42
8/12/2011 FaST - Florida Institute of Technology Slide 43
8/12/2011 FaST - Florida Institute of Technology Slide 44
What Next?Complete Intrusive Testing for iPhone 4 and
iPad 2Complete Discharge Rate of each phone and
tabletComplete Measurement in “Sleep Mode”Complete literature review of the materialInclude this all into one Comprehensive
Paper.
8/12/2011 FaST - Florida Institute of Technology Slide 45
04/24/23 Dr. V. Këpuska Harris Grant
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Year QuarterMonth Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
Year
Year 8
5
Tasks List
Time Table
Yea
r 3
1 32
5
46
67
2013
Yea
r 1
2011 2012
Yea
r 2
2012 2013
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Data Collection From: Movie Clips, Acquisition of Corpora from LDC, HarrisProcure Resources: PhDs, Students
Integration of Prosodic Feature Generation into e-WUWApplication of Existing Prosodic and Spectral Features to Speaker IdentificationEvaluation of the System on Sentinel Word Detection & Recogntion + Speaker IdentificationResearch, Investigate + Refinement of Spectral Features for Speaker Identification
Q1 Q2 Q3 Q4Q1 Q2 Q3 Q42012
Research, Investigate + Refinement of Prosodic Features for Speaker IdentificationInvestigate Methods for automatic selection of centinel words for Speaker Identification
unknown speaker
operator. known speaker
• Dr. Këpuska, 1 Post-Doc, 1 PhD: $264,676 3 Years Salaries + Fringe
• Tuition: $ 72,698, Misc. $ 29,000• 3 Years Total (including FIT’s MTDC):
$476,993
