BEE-spoke-data/govdocs1-by-extension huggingface dataset:
# Presentation: 189596

- Walt Schalk
- 5 May 2008

- DMCC: Projects and Activities

## Organization Updates

- Carl Mazzola named Executive Secretary in November 2007.
- John Ciolek, AlphaTrac joins DMCC Planning Committee.

## Meetings

**14****th**** Meeting held May 07 in San Antonio (15 Attendees) **
**Operations and Research presentations**
**HQ Updates**
**Discussions/Roundtable**
**Assist Visit Program**

## ASSIST Visits

**Y-12 – ****28-29 May 2008**
**PNNL – ****Presentation 4/08, AV: late 08?**
**SRNL – ****Oct-Nov 08 tentative AV**
**NTS, BNL, PANTEX – ****discussions continue for late 08 or 09**
**WIPP**** – possible for 08/09 (3 year cycle)**

## Support to Others

**NNSA/DOE**
**DMCC into EMI-SIG Web Page**
**DMCC web forum recently went on-line **!
**AV lite: Self-Assessment Guide available**
**Request NOAA to increase forecast model resolution**
**Fire weather forecast tools**
**HS-21: established link between environmental monitoring programs and meteorological data programs in Order 231.1 **

## Support to Others

**DOE/HS-21:**** **established link between environmental monitoring programs and meteorological data programs in Order 231.1
**OFCM: ****DOE Appendix to Annual Federal Plan:** description of research & ops programs at 14 NNSA/DOE sites.
**DOE:**  monitoring progress of SQA issue as it applies to meteorological data

## Support to Others

**NUMUG**
**Carl Mazzola is Chairman thru Oct 09.**
**Developed comments on NRC Reg. Guide 1.23 rev1 (issued 03/07)**
**Assisting with site met instrument survey**
**Providing info on field testing of sonic anemometers**
**ANS**
**DMCC Members attended/presented at 10****th**** Topical Meeting on Emergency Preparedness & Response in ABQ (3/08)**** **
**Preliminary planning for 11****th**** Topical Meeting             in Knoxville, TN (3/11)**

## Support to Others

**Voluntary Consensus Standards**
**ANSI/ANS-3.11:**** ****revision or reaffirm in June08**
**Others in progress:**
**ANSI/ANS-2.3:  **Extreme winds and tornadoes
**ANSI/ANS-2.15: **ATD for Nuke facility routine release (Rv)
**ANSI/ANS-2.16: **ATD for Nuke facility accidental release
**ANSI/ANS-2.21: **Met parameter guide for Ultimate Heat Sink applications
**ANSI/ANS-3.8.10: **T&D for Nuke facility accidental release with emergencies

## Other Topics

**Plan and conduct 15****th**** DMCC Meeting,**
**Begin preliminary plan for the 16****th**** Meeting**
**Continue to work meteorological data SQA issue and collaborate with the NUMUG**
**Continue to encourage support for the “Atmospheric Sciences and Releases of Hazardous Materials”.  This compendium to replace “Atmospheric Sciences and Power Production” (1984).   ****Funding**
**Continue to encourage communication and                          information exchange between DOE Sites.**

## Other Topics

**Assist DOE/NNSA in implementing DOE/EH-0173T and ANS/ANSI-3.11(2005)**
**DOE/NNSA weather website linking program**
**Promote the DMCC web forum.**
**Promote the Self-Assessment Guide for Meteorological and Consequence Assessment Systems  (Self-ASSIST)**
**Promote input to OFCM JAGs and projects**
**Develop useful products for DOE/NNSA sites**

## Questions ?
# Presentation: 371583

## PROPOSED MARS LANDING SITES FOR MER A & B

**PROPOSED MARS LANDING SITES FOR MER A & B**

**West Hemisphere**
**Centered at:**
**30°N, 30°W**

**East Hemisphere**
**Centered at:**
**30°N, 210°W**

- 10°N

- 15°S

- 0°

**O**

**O**

**O**

**O**

**O**

- 10°N

- 15°S

- 0°

**O**

## EOS CHASMA

***Who:*****	****	****	****R. Kuzmin, R. Greeley, D. Nelson, J. Farmer, C. Klein**
***What:*****	****	****	****Potential sites for the MER-A lander**
***When:*****	****	****	****For the 2003 launch opportunity**
***Where:*****	****East end of Valles Marineris**
***Why:*****   ****	****	****	****It has a high potential to meet the science objectives**
***How:*****   ****	****SAFELY! **

## EOS CHASMA MER-A Site

## GENERAL GEOLOGY, EOS SITE (Scott & Tanaka,1986)

## EOS CHASMA

**	**** •****	****Major Hesperian-age channel system**
**	**** •****	****Chaotic terrain source (sub-surface water + local **
**	****	****	****ponding?)**
**	****	****•****	****Associated with *****Valles Marineris***** (tectonic,**
**	****	****	****hydrothermal activity?)**
***It is an excellent candidate site for “ancient groundwater” ***
***environments***

***Scientific Characteristics***

## LOCAL GEOLOGY (Witbeck et al., 1991)

## Slide 7

## Slide 8

## Slide 9

## EOS CHASMA

**•****	****Location:  13.5°S, 41.5°W; -3.5 km elevation,**
**	****	****56 km ellipse @ 66° azimuth**
**•****	****TES thermal inertia (3 km footprint) = medium to**
**	****	****coarse sand**
**•****	****Albedo = 0.13 to 0.20 suggests little dust**
**•****	****Viking IRTM suggests 10 to 20 % “rocks”**
**•****	****Radar (low resolution; Harmon et al., 1992)**
**	****	****	****0.05 to 0.08 @ 12.6 cm wavelength**
**	****	****	****0.05 to 0.06 @  3.5 cm wavelength **

***Site Characteristics***

## Slide 11

## EOS CHASMA

**•****	****Characterize rocks and minerals derived from groundwater, **
**	****fluvial, and lacustrine environments**
**	****	****◊****	****primary rocks and minerals (composition and texture)**
**	****	****◊****	****alteration products (test hydrothermal hypothesis, etc.)**
**•****	**** ****Determine surface geology (fluvial, aeolian,**
**	****  ****mass-wasting, etc. processes)**
**•****	**** ****Study near-surface stratigraphy exposed locally**
**	****  ****(e.g., in small crater walls)**
**•****	**** ****Assess stratigraphy of channel walls (~100 pixels high)**

***MER-A Science Potential***
# Presentation: 704468

## Smart Card Interoperability

- Barbara Guttman
- NIST
- Workshop, CTST 2003
- 2 PM, May 12, 2003

## Session AgendaHow to Achieve Interoperability

- GSC-IS:  an Interoperability Specification
- How does the GSC-IS achieve interoperability?
- 	BSI
- 	Card Edge
- Conformance Testing
- How conformance testing helps achieve interoperability
- What do you test?
- How does the test suite work?

## Session AgendaHow to Achieve Interoperability

- How can I get tested?
- 	GSC Test Program
- 	Self Testing
- 	How can I help with test suite development?
- Demo

## Session LogisticsHow to Achieve Interoperability

- Four Speakers:
- 	John Wack
- 	Alan Goldfine
- 	Eric Dalci
- 	Elizabeth Fong
- Ask questions as we go.

## Contact Information

- John Wack		301.975.3411	john.wack@nist.gov
- Alan Goldfine		301.975.3252	alan.goldfine@nist.gov
- Eric Dalci		301.975.2973	eric.dalci@nist.gov
- Elizabeth Fong	301.975.3250	efong@nist.gov
- Barbara Guttman	301.975.4207	bguttman@nist.gov
- Websites:	http://smartcard.nist.gov
- 		http://smartcard.nist.gov/test
# Presentation: 222013

## Diskless Computing

**Don Mendonsa**
- Lawrence Livermore National Laboraotory

## Introduction

- What I do
- Four security plans
- 300 Classified Users, 2000 Unclassified Users

## Why are we here?

- DOE/NNSA Requirements
- CREM Reduction
- Diskless Requirement
- Required Infrastructure Overhaul
- Minimum impact to users
- Science Must continue
- It’s the product we produce

## Current Environment

- CREM History
- Users stored CREM in repositories in their offices
- Users could work any time
- High level of risk having CREM in so many places
- CREM was moved to CAS
- Users could Only work during operating hours of CAS

## Current Environment cont.

- Old NT4 domain
- Multiple workstation models
- Multiple generations of those models
- No central administration

## Research

- Constraints / Requirements
- No CREM
- Current DOE/NNSA requirements
- Budgetary
- Minimal user impact
- Restrictive work hours
- Minimal migration time
- Maintain accustom performance
- Maintain familiar operating environment

## Research Cont.

- Technologies Researched
- KVM (Keyboard Video Mouse)
- Thin Client
- Thick diskless client

## KVM

## Thin Client

## Thick Diskless Client

## Decision & Implementation

- Ardence Secure Edition
- High Availability
- Port Blocking
- Encrypted Communications
- SDOM (Secure Disk On Module)
- No encryption key
- Holds client IP and login servers only
- Dell embedding SDOM on future hardware
- Locking SDOM
- No DHCP required
- Less overhead (administratively)
- Less time to deploy
- Less cost
- Uses existing investment in the desktop

## Decision & Implementation cont.

- Private Image vs. Shared Image
- Private Image
- 1 VDisk per OS instance (100 users = 100 VDisks)
- Shared Image
- 1 VDisk per multiple OS Instances (100 users = 1 VDisk)
- Less space required
- Roaming profiles

## Existing Implementation

## Migration

- Migration Steps
- Create SDOM
- Create VDisk
- Install Ardence
- Move image to server
- Problems Encountered
- Update bios
- NIC card upgrades
- Motherboard errors
- Install new IDE for CDROM
- Creating VDisks or moving data negatively impacted other users performance

## New Environment

## New Environment cont.

- Scaleable
- Inexpensive
- Time to deploy
- Two to four weeks to have servers in operational state
- One hour for user migration

## Planning for the Future

- Run Shared and Private images simultaneously
- Scaleable capacity
- Ability to grow without additional resources
- New version of Ardence
- Free port blocker
- Super Image
- Software server services

## Summary / Conclusion

- Careful Planning
- Testing
- Documentation
- Robust Environment that meets current and future needs
- Some technical details were left out of this presentation

## Questions

## My Contact Information

- Don Mendonsa
- mendonsa2@llnl.gov
# Presentation: 507888

**National Weather Service    Corporate Board Meeting**

**August 7, 2001**

***Dr. Jack Hayes***
***NWS/Office of Science & Technology***

***Director’s Message***

## Overview

**Commitment**
**Goals**
**NWS Modernization**
**Science and Technology Infusion**

## Commitment

**    *****A Quality Organization that Uses ******Science and Technology****** to Continuously Improve Products, Services, and Work Processes to Satisfy Internal and External Customers***

- John J. Kelly Jr.
- February 1998

## Goals

**Focus on the Future**
**Remain in Tune with Changing Public Expectations**
**Remain True to Our Science Based Service Tradition**

## Goals

**Capitalize on Emerging Scientific and Technological Research and Development Efforts**
***Develop a Comprehensive, Time-Phased and Viable NWS Technology Infusion Plan***

##  NWS Modernization                              Success Story

**NWS Modernization is Complete**
***NEXRAD***
***ASOS***
***AWIPS***
**Resulted in Significant Improvements in Weather Services **

**Average Warning Lead Time Flash Flood**

**Average Warning Lead Time Tornado**

***GOES Satellite Upgrades***
***Central Computer Facility Upgrades ***
***Restructured Field Operations***

## NWS Modernization                                         What’s Next?

**Current Strategic Plan Focuses on 2005**
**Technology Infusion Plan Will:**
***Provide Roadmap to Weather Services                              Over Next 25 Years**** *
***Will Become Key Component for                              Refreshing Strategic Plan***

## Science and Technology                Infusion

**   ****“*****Continuing, evolutionary ******process****** by which any organization or system ******maintains its health and improves its performance****** ******through the disciplined ******incorporation of new ideas******, ******procedures******, and ******capabilities*****”. **
**(Dorman Report, 1999)**

## Science and Technology Infusion

**NWS Today:****  **
***Continuous refreshment of the Modernized NWS***
***Requirements driven - More service pull than science push***
**NWS Next:****  **
***What NWS will evolve to by 2010***
***Balance between service pull and science push***
**NWS After Next:****  **
***NWS of 20 or more years from now***
***S&T Opportunities driven - More push than pull***
**(from Dorman Report, 99)**

***Three Time Frames***

## Science and Technology                Infusion 

**Responds to Operational Product and Service Needs**
**Identifies Science and Technology Opportunities**
**Provides***** *****Basis for Strategic Planning**
**Provides Information on NWS S&T Needs, Priorities  and Direction**
***Congress***
***Within NWS***
***R&D Community***

***Why?***

***Private Sector***
***Customer***
***Industry***

## Fortune Favors the Bold

**“*****Some men see things as they are and say, ******'Why?'****** I dream of things that never were and say,         ******'Why not?'******"***
- -**	****Robert F. Kennedy, after George Bernard Shaw**
# Presentation: 672813

## Percentage of Public Providers Participating in Immunization Information Systems by Grantee, December, 31, 2003

**Percentage of Public Providers Participating in ****Immunization Information Systems by Grantee, ****December, 31, 2003**

- VT   29
- NH     5
- MA
- RI     96
- CT  100
- NJ     90
- DE    67
- MD

- 88

- 26

- 66

- 32

- 100

- 96

- 100

- 100

- 32

- 50

- 100

- 95

- 64

- 98

- 80

- 56

- 100

- 37

- 100

- 100

- 99

- 36

- 100

- 86

- 100

- 100

- 100

- 60

-  100

-  70

-  32

- 100

- 100

- 34

- 60

-  36

- 30

- 84

- 35

- Source:  Immunization Registry Annual Report, CY2003

- No Report
- ≤ 33
- 34-66
- 67-94
-  95-100

- New York City   98          Houston           29
- Philadelphia    100          Chicago           33
- San Antonio      96 	   DC                 100

**33**

**Notes:**
In the 50 states and 6 cities that operate registries regionally or state-wide, an average of 76% of public immunization provider sites submitted data to their registry during the last six months of 2003. Twenty states and four cities reported over 95% of their public immunization provider sites submitting data to the registry. These results are based on self reported data from CDC immunization grantees.

MA and MD provider participations are not reported.  Within each state, only Boston and Baltimore City reported rates. The rates were too small to reflect an accurate picture of provider participation in each state.

Qualifier: reported annual fluctuations in public provider participation may be due to programmatic and/or technical changes to the immunization information system.
# Presentation: 667539

## TRB Internet Survey

**First Survey****	****102 Respondents**
**Second Survey****	****66 Respondents**

## Number of Surveys Reported

## Incentive Provided

## Conducting Survey

## Survey for Updating Model

## Survey Costs

## Survey Frequency

## Sample Size

## Time of Year

## Types of Incentives

## Trip Data Collected For

## Follow Up Survey

**66 Respondents**

## Household Survey

## Household Survey

## External Survey

## Types of Legal Restrictions

**Could Not Conduct Roadside Interviews**
**Could Not Stop Vehicles**
**Could Not Stop Vehicles on Interstates**
**Privacy Issues with Use of License Numbers**
**Could Not Use Off-Duty Law Enforcement Officers**

## Parking Survey

## Parking Survey Questions (23 Obs)

## Commercial Vehicle Survey

## Visitor Survey

## Transit On-Board Survey

## Work Place Survey

## Work Place Survey Sample (9 Obs)

**Industry or SIC****	****	****56%**
**No. Employees****	****	****22%**
**Location****	****	****	****22%**

## Work Place Trip Geocoding (4 Obs)

**Traffic Zone****	****	****25%**
**Census Tract****	****	****75%**
# Presentation: 266155

## Purpose of Testing Census Questions on Disability

- Regional Meeting of UN Washington City Group on Disability Statistics
- Rio de Janeiro
- September 19,20

## Goal of Questions

- Internationally comparable data
- Suitable for censuses
- Captures most disabled people in a consistent fashion

## Challenges

- Cultures and circumstances widely different across countries
- Functional limitations are very varied
- Type – mental, physical, sensory
- Degree – mild, moderate, significant
- Disability is a complex concept that is measured across different domains
- Body functions and structure
- Activities and participation
- Not really a single measure of disability, yet political reality demands reported prevalence rate

## Purpose of Test

- Determine if questions are being interpreted as intended.  That is, are they capturing important aspects of selected functional domains
- Determine if questions are interpreted consistently across countries
- Gain further insight into alternative prevalence measures

## Types of Testing	

- Cognitive – A direct look at how people are interpreting the questions – richer testing but less standardized
- Field – How do the questions work operationally?  What is the relationship between the answers to different questions?

## Procedure	

- Normally, cognitive testing done first to refine questions, then field test done to operationalize
- In this case, different countries will do things differently
- Some countries may only test WG questions
- Some are including test within their testing of another instrument – this may restrict how the questions  can be tested

## Objectives

**Determination of whether a single question per domain is representative of that domain **
**Determination of whether the questions produce comparable data across countries**
**Determination of how the WG questions work as a set in comparison with other questions used by the country**
# Presentation: 690431

## Measuring Reversing Flow Pressure Drop in Stirling Engine Heat Exchangers

-   Developed an oscillating flow test rig to measure pressure 		variations in complex engine flows
-   Provided insights into flow effects in Stirling engine heat 		exchanger
-   Provided much improved understanding of one of the primary 		losses in Stirling cycle machines
**                              ****COMMERCIALIZATION**
-   Improved performance of both Stirling-cycle engines and 		Stirling-cycle coolers; hence this SBIR has resulted in the 		continued support from private industry
-   Resulted in another SBIR and  a University grant that allowed rig 	modification to also measure oscillating flow heat transfer in 		regenerators
-   Information derived from measurements was incorporated into 		Stirling computer codes that are being used to design Stirling 		engines and coolers by private companies

***Sunpower, Inc.***
***Athens, OH***

**S****mall**
**B****usiness**
**I****nnovation **
**R****esearch**

**      ****GOVERNMENT/SCIENCE APPLICATIONS**
-   Stirling engines are a leading candidate for dynamic 			space power systems - Stirling has been chosen as a 		backup for the Advanced Radioisotope Power System 		(ARPS) being developed for deep-space missions
-   Stirling engines are applicable for use in terrestrial 			dynamic power, including remote power generation and 		cogeneration

- 1984 Phase II; SS # 211
- NASA Contacts - Roy Tew and Lanny Thieme

- Lewis Research Center

**Measuring Reversing Flow Pressure Drop in Stirling Engine Heat Exchangers**

***Oscillating Flow Test Rig***

- A unique flexible rig for measuring pressure drop in oscillating flows
# Presentation: 516825

## ARCTAS P-3 Flight Plan for 29 Jun 2008

**ARCTAS P-3 Flight Plan for 29 Jun 2008**
**Data Flight 16**

**P-3**

**DC-8**

**CALIPSO**

**Terra**

- Goals:
- Sample/study Fires A & B (if Fire A is good for radiation, stay there & skip B)
- Terra overpass (18:53 UT) during Fire B sampling
- DC-8 comparison at 2 altitudes on CALIPSO track
- Spiral down on CALIPSO track at CALIPSO OP (20:50 UT

**Fire A**

**Fire B**

**DC-8**

**P-3**

## ARCTAS P-3 Actual Flight Path for 29 Jun 2008

**ARCTAS P-3 Actual Flight Path for 29 Jun 2008**

- Highlights:

**P-3**

**B-200**

**DC-8**

**Ft. McMurray**

**CAR meas in cloud diffusion domain?**

## ARCTAS P-3 Actual Flight Path for 26 Jun 2008

**ARCTAS P-3 Actual Flight Path for 26 Jun 2008**

**Athabaska** **Lake **

**<1 minute:**
**AOD>1, CO ~5.7 ppm, **
**Scat ~5,000 Mm****-1**** **

**P-3**

## ARCTAS P-3 Actual Flight Path for 26 Jun 2008

**ARCTAS P-3 Actual Flight Path for 26 Jun 2008**

**Great Slave** **Lake **

**Spiral  & **
**CAR circles **
**over lake**

**P-3**

**CAR circles **
**over land**

**B-200**
# Presentation: 314269

## George AlcaldeCertified Professional Ergonomist (CPE)

- Masters Degree - Industrial Psychology
- Bachelor Science - Psychology
- Ergonomics/Human Factors Experience
- Loma Linda University Medical Center
- Boeing Aircraft
- State of Washington

## What is an Ergonomist

- What is the Basic Foundation of Ergonomics

## Ergonomics a Proactive Approach for Injury Prevention, Symptom Alleviation, and Maintenance of Gainful Employment

## Ergonomics Defined

**Ergonomics is the field of study that seeks to design tools, tasks, and environments to be compatible with human capabilities and limitations**

## Ergonomic Measures used to Control, Ameliorate or Eliminate Work Place Hazards

- Engineering Controls
- Administrative Controls
- Personal Protective Equipment

## Industrial Ergonomics Vs Industrial Hygiene

**Where do Industrial Ergonomics and Industrial Hygiene Diverge? **
**Where do Industrial Ergonomics and Industrial Hygiene Converge?**

## Types of Ergonomic Evaluations	

- Primary
- Secondary
- Tertiary

- Early Return to Work Program
-    Temporary Return to Work Restrictions
-     Placement into light duty or modified
-      work position within company
# Presentation: 438962

## Slide 1

- 10

## Differences between the Maps that are made

***map purpose***

***available data***

***audience***

***conditions of use***

***skill***

***What is used to create the map***

***Spatial information is needed***
***to make informed decisions...***
***Sometimes that information is***
***extracted remotely, and other***
***times field teams collect the***
***data and feed it back***

- 11

## Gaining a “first look”

***Gaining a “first look”***

***Updating with field data***

- 12

## Data can now be entered directly onto the internet

***Data can now be entered directly onto the internet***

- 13

## Differences between the Maps that are made

***map purpose***

***available data***

***audience***

***conditions of use***

***skill***

***What is used to create the map***

***We must know what data we***
***need, what is available,***
***and what we need to collect.***

- 14

## Slide 6

- 15

## Slide 7

- 16

## Differences between the Maps that are made

***map purpose***

***available data***

***audience***

***conditions of use***

***skill***

***What is used to create the map***

***There will always be a need for specialists***
***...******.in GIS***
***...******.in each disasters / hazards sub field ***

- 17
# Presentation: 798438

## Real-Time Signal Validation SystemExpert Microsystems, Inc., Orangevale, California

- Innovation
- An online signal validation software system designed to protect mission critical systems from sensor failure and equipment malfunction.

- Accomplishments
- The software detects subtle signal faults, such as a failed or out-of-calibration sensor, while there is still time to prevent critical damage or loss. The software’s synthesized signals can be used to keep performance-critical systems in operation until the failed equipment can be repaired.

- Commercialization
- The SureSenseTM signal validation software is now available to improve the safety and efficiency of many performance critical applications, such as aerospace systems, power generating systems, and industrial process equipment. Early fault detection and online signal replacement can save users billions of dollars by minimizing the cost of lost productivity due to sensor failure induced equipment downtime. Process quality and efficiency are improved by ensuring that closed-loop control is performed using good data. By automatically detecting out-of-calibration sensors, the software reduces maintenance costs for periodic sensor calibration.

- Government/Science Applications
- The software has been used to produce an online Space Shuttle Main Engine accelerometer data validation system for NASA ($360K).
- The U.S. Department of Energy is funding applications of the software for use in nuclear power generating stations ($100K).

- Points of Contact:
-    - NASA - John Saltzman (661) 276-3730
-    - Expert Microsystems, Inc. - Randy Bickford (916) 989-2018
- 1998 SBIR Phase I; NAS 499012; SS4-007

- NASA Dryden Flight Research Center
- Date of Update 9/5/00
# Presentation: 711012

## Suspicious Activity Report by Casinos & Card Clubs Filing Trend

***Total SARs: 344***

**Suspicious Activity Report by Casinos & Card Clubs Filing Trend**
**State of Wisconsin **
**For the Period August 1, 1996 through December 31, 2007**

## Suspicious Activities Reported by Casinos & Cards Clubs

**Suspicious Activities Reported by Casinos & Cards Clubs**
**State of Wisconsin**
**For the Period August 1, 1996 through December 31, 2007**

- Note:  The pie chart does not include those categories of suspicious activity for which data queries returned no results (i.e., no filers reported these activities).
- An individual SAR-C may cite more than one suspicious activity.  Hence, the number of activities detailed here exceeds the total number of SARs.

## Suspicious Activity Reported by Casinos & Card Clubs Filing Trendby Type of Gaming EstablishmentsState of WisconsinFor the Period January 1, 2000 through December 31, 2007

## Suspicious Activity Report by Casinos & Card Clubs

**Geographic Reporting Locations**
**State of Wisconsin**
**For the Period January 1, 2007 through December 31, 2007**

**Note: Statistics based on Casino Address**

- Keshena

- Lac Du Flambeau

- Danbury

- Turtle Lake

- Madison
# Presentation: 674733

## GPS System Description

**GPS System Description**

**Space-based radio navigation system providing:**
**Precise position, velocity and time (pvt)**
**Continuous, worldwide, 24 hour a day coverage**
**Passive; can serve an unlimited number of users**
**All-weather operation**
**U.S. Government system run by the DoD****        Adminstered by the U.S. Air Force **
**Has large variety of defense and civil applications**** **

## GPS Position Determination Technique

- 135.1-1 A504f

**GPS Position Determination Technique**

**User measures pseudoranges to satellites**
** ****(****R****1****, R****2****, ****R****3****, ****R****4****)**

**User receives and stores data on satellite locations (****P****1****, P****2****, ****P****3****, ****P****4****) and their motion**

**Time for S1**

**      ****S1 Position**
**(P****1****)**

**GPS S1**

**t****1**

**t****2**

**t****3**

**t****4**

**(P****2****)**

**(P****3****)**

**(P****4****)**

**GPS S2**

**GPS S3**

**GPS S4**

**R1**

**R2**

**R3**

**R4**

- User
**t****u**

**P****0**

**X****2****, Y****2****, Z****2**

**X****3****, Y****3****, Z****3**

**X****4****, Y****4****, Z****4**

**X****1****, Y****1****, Z****1**

## GPS System Segments

- 135.1-1/111-1 V006g

**User Segment**

**GPS System Segments**

**Space Segment**

**Backup OCS**
**Gaithersburg, MD**

**Backup OCS**
**Vandenberg AFB**

**Control Segment**
**Headquarters**
**Colorado Springs**
**Schriever AFB**

**1 ****Monitor station only**
**2**** ****Uplink station only**

**Monitor/ Uplink**
**Stations**

**Colorado Springs**
**1****Hawaii**
**Kwajalein**
**Ascension Island**
**Diego Garcia**
**2****Cape Canaveral, FL**

## The Navstar GPS Operational Constellation(24 Satellite Baseline Configuration)

- The Navstar GPS Operational Constellation(24 Satellite Baseline Configuration)

**Note:**
**As of 2004-05, **
**there are about**
**28-30 S/C in the**
**constellation.**

## Garmin iQue GPS

- Palm OS
# Presentation: 072710

## Time Variations of Open Magnetic Flux

- How much interchange reconnection occurs during the evolution of a coronal hole?  The amount depends on how the hole evolves.  There is less interchange reconnection near sunspot maximum when holes become sheared and lose open flux than toward minimum when they rotate rigidly.  For the potential field source surface model, it is easy to determine the change of open flux – one subtracts the open flux at time t2 from the open flux at the initial time t1.  But how does one determine the amount of open flux that was rearranged during this interval?  The figure at the right illustrates how this can be done.
- The idea is to let differential rotation act on the photospheric field for a brief interval while you prevent the coronal field lines from reconnecting.  Then, after calculating the amount of rearrangement, let the field snap back to its potential configuration.

**Time Variations of Open Magnetic Flux**
**N. R. Sheeley, Jr. & Y.-M. Wang**

## In this figure, panel (a) refers to the distribution of open flux for the field of an equatorial doublet and an axisymmetric dipole.  In panel (b), the coronal holes are temporarily frozen in their sheared state.  The difference is shown in panel (c ).  Neglecting the relatively slow effects of diffusion and meridional flow, the photospheric field does not change with time, and the holes will return to their initial shapes when the coronal field is allowed to reconnect.  Thus, panel (a) represents the final state at time t2 as well as the initial state at time t1, and the differences in panel (c ) also represent the change that occurs when the reconnection takes place.  By subtracting the absolute value of this change from the change of open flux between times t1 and t2 (and then dividing by 2 to avoid counting the same flux twice), we obtain the amount of open flux that changed its footpoints (i.e. the amount of flux participating in the interchange reconnection).  Because the initial and final states are the same, there is no change of open flux, and all of the reconnection is due to interchange, as expected for rigid rotation.

- Wang, Y.-M. & Sheeley, N. R., Jr.: 2004, ApJ 612, 1196.

- The amounts of flux lost and flux interchanged depend on the strength of the polar field and the latitude of the idealized doublet.  In the presence of a 1 G polar field, we obtain 0.00 GR2 lost and 0.56 interchanged when a 5 G doublet is at the equator, whereas without the polar field, 0.00 is lost and 0.12 is interchanged.  On the other hand, when the doublet is at 30 degrees latitude, we find that 0.06 is lost and 0.38 is interchanged when a 1 G polar field is present,  but 0.11 is lost and 0.14 is interchanged without the polar field.  Thus, interchange reconnection is dominant throughout the sunspot cycle, but flux-loss reconnection is important near sunspot maximum.  If coronal inflows are signatures of flux-loss reconnection, this would account for their reduced rates around sunspot minimum.
# Presentation: 506527

## The Suzaku broad-band spectrum of the low-luminosity AGN M81

- Lucie Gerard (APC - France)
- Sara Turrizziana (Tor Vergata - Italy)
- Ivona Mochol (Cracovia Univ. - Poland)
- Filippo D’Ammando (INAF Roma - Italy)
- Kei Saitou (ISAS - Japan)
- Renzo Capelli (IASF Mi - Italy)
- Lorenzo Raimondi (IASF Bo - Italy)
- Massimo Cappi (IASF Bo - Italy)

## Open Issue:

- Understand the origin of High Energy Emission of M81 (the brigthest
- Nearby LLAGN)
- Current Knowledge:
- Complex FeK line structure from BeppoSAX, XMM and Chandra (HETGs)
- Current possible physical models:
- Reflection (neutral and ionized);
- Thermal emission (from a hot gas);
- Photoionization
- Goal of the present program:
- Analyse the Suzaku spectrum of the source to discriminate between the three above possibilities

## M81 was observed in 2006, May 8th 

- The Suzaku observation:

- M81 was observed in 2006, May 8th
- Exposure Time: 100 ks
- XIS0,1,2,3 working nominally (at that time)
- A ULX in the FOV

- M81

- ULX

- Backg

## Suzaku Broad-band spectrum of M81

- ~1.8-1.9
- Flux (2-10)~1x10-11 erg cm-2s-1

- Suzaku Broad-band spectrum
- of ULX:Convex spectrum...

## Zooming and fitting the line...

## Fitting the line...with Chi-2 and C- statistics !!!

## Slide 7

|  | EW (eV) |  |  | Flux 
2-10 keV |
| --- | --- | --- | --- | --- |
|  | 6.4
(keV) | 6.7
(keV) | 6.9
(keV) | 10-11 (cgs) |
| XMM | 27-52 | 34-60 | 22-52 | 1.1 |
| BEPPO-SAX | _
 | 64-133 | _ | 3.8 |
| CHANDRA | 22-71 | 5-54 | 71-163 | 1.0 |
| SUZAKU | 35-56 | 40-63 | 22-47 | 1.1 |
# Presentation: 324680

## D0 Computing Performance

- Amber Boehnlein
- D0 Computing and Software

## SAMData Access and event catalog

- 14 SAM stations world wide
- Used by online and production farms for transfers
- Used by experimenters to access the data.
- Interfaces to Enstore for local mass storage

## Tape Drive Usage

- STK 9940—online logging,
- Reconstructed data

- IBM LTO drives in ADIC
- AML2 robot, used for
- MC data storage, user data

- 300 TB capacity in silo
- 6 TB written

- 750 TB capacity
- 20 TB current MC
- 46 TB “stuff”

## Farm Processing status

- Reco Summary for 02/05/2002 and 02/12/2002Raw data in between 02/05/2002 and 02/12/2002Total File Size:  525,965,981 KBTotal Event Count:  3,456,858  152 KB/eventRaw data Reco out between 02/05/2002 and 02/12/2002Total File Size:  701,550,408 KBTotal Event Count:  2,397,543   293 KB/eventreprocessing for Moriond and waiting for new reco versionled to lower event count out

- ~10 Million event backlog
- 2.5 M processed with p10.14.01
- 32 1 GHz nodes will be turned over
- To D0 today.

## Slide 5

## Farm Processing

## Reco summary

- Production release p10.11 used for processing for post-shutdown data.
- P10.14.01 has superseded p10.11, and we have reprocessed the p10.11 data
- Improved SMT tracking
- Viable CFT tracking
- General improvements in many areas
- We are behind schedule for p11

## Summary

- SAM is in general use by D0, at FNAL and offsite.
- New tape robot is working well, we are understanding usage patterns
- Farm capacity is not overly generous for the next few months, but workable.
- Progress continues development of the Reconstruction.
# Presentation: 692499

## pH

- Year

- CO2

- CO2 Time Series in the North Pacific

**y = (1.738 ****± 0.0293)x – 3105.9**
**R****2**** = 0.94**

**y = (1.855 ****± 0.224)x – 3364**
**R****2**** = 0.310**

**y = (-0.0019 ****± 0.00025)x + 11.82**
**R****2**** = 0.265**

**Notes:**
Mauna Loa atmospheric CO2 from published data (interpolated values) (HOTS Aloha)
Aloha seawater pCO2 calculated with co2sys from discrete samples using temperature, salinity, Talk, and TCO2
Aloha seawater pH calculated with co2sys

## pH

- Year

- CO2

- CO2 Time Series in the North Pacific

**y = (1.738 ****± 0.0293)x – 3105.9**
**R****2**** = 0.94**

**y = (1.855 ****± 0.224)x – 3364**
**R****2**** = 0.310**

**y = (-0.0019 ****± 0.00025)x + 11.82**
**R****2**** = 0.265**

## Ocean Acidification: Global Warming’s Evil Twin

_**Ocean Acidification: Global Warming’s **__***Evil Twin***_

- Richard A. Feely
- NOAA/Pacific Marine Environmental Laboratory
- December 20, 2007

- NSTC Joint Subcommittee on Ocean Science and Technology (JSOST)

## Calcite

- Aragonite

**y = (-0.011 ****± 0.002336)x + 27.667**
**R****2**** = 0.1271**

**y = (-0.0069 ****± 0.001697)x + 17.431**
**R****2**** = 0.0967**

- Year

- Saturation State (Ω)

- Ocean Acidification at HOTS (Aloha)

**Notes:**
Calcite and Aragonite saturation states calculated using co2sys from published bottle data at Aloha (HOTS)
# Presentation: 892717

## Greengenes: A Tutorial

- Taxonomic Classification of Bacteria Using DNA Sequences

- Created by:  Jonathan Davies
- 	James Logan High School
-  	Union City, CA

## Background:

- 1735 - Linneaus, *Systema Naturae*
- Scientific Name: _*Genus species*_
- _Yesterday_:  Classification based on morphology, physiology & embryology
- _Today_:  Classification based on DNA
- Prokaryotes can be identified/classified based on a single gene!!

## What is Greengenes?

- greengenes.lbl.gov

## What is Greengenes?

- An up-to-date database of known 16S rRNA gene sequences
- A web based tool used to classify cloned bacterial DNA sequences
- Allows users to create their own local database
- Allows users to compare sequences to each other and to landmarks in the Greengenes database

## The 16S rRNA gene

- A gene found only in prokaryotes
- It can be species specific - differentiating one bacterial strain from another
- It codes for the small subunit of the ribosome

## High Throughput Analysis

- A single gram of soil can contain 103-106 distinct taxa!!
- Greengenes is designed to quickly and efficiently analyze large numbers of sequences (>75).

## Who uses Greengenes?

- _Clinical researchers:_
- To study microbes present in a patient’s throat, lungs, GI tract, etc.
- _Environmental microbiologists_:
- To compare the microbial communities from different locales
- To see how a microbial community changes over time
- To monitor the effectiveness of bioremediation efforts.

## Greengenes Tutorial

- Broadens target audience to include:
- Advanced high school students
- AP classes
- Biotech classes
- Science Fair projects
- Undergraduate researchers

## Greengenes Tutorial

## Greengenes Tutorial

- A step by step parallel to Greengenes designed to walk the user through:
- Alignment of sequences to database sequences
- Removal of chimeric sequences
- Classification of sequences
- Includes Sample Data to allow the user to test out each step on a low throughput basis
- Lesson to Walk through Greengenes Using the Sample Data

## Teacher Resources

- Lesson using sample data to gain practice with Greengenes
- PowerPoint introduction for teacher and students
- Sample Data to practice using Greengenes

## Teacher Resources

- Embedded within the Tutorial are pages to cover special topics:
- Point Mutations
- Near Neighbors & Type Strains (for making distance trees)
- Chimeras: What they are and how they’re formed.
- Taxonomies: What a taxonomy is and how & why taxonomists disagree (hence Greengenes using 6 taxonomies)

## Future of Tutorial

- Hands-on lessons to explain algorithms
- Alignment
- Chimeras
- Taxonomies
- Sample data sets to use in ecology unit
- Water quality
- Food poisoning
- Bioremediation

## Acknowledgements

- Todd DeSantis: Greengenes Database Administrator
- Gary Andersen, PhD: PI, Molecular Microbial Ecology Group
- Eoin Brodie, PhD: Microbial Ecologist
- Yvette Piceno, PhD: Microbial Ecologist
- Alex Butar: Bioinformatics
- CSEE:  Rollie Otto, Michael Thibodeau, Tom Knight
- IISME:  Patti Forster, Kaye Storm
- Bechtel Foundation
# Presentation: 113860

## D0 bi-weekly Summary: May 19th to June 1st 

- Delivered Luminosity and operating efficiency
- Delivered 5.0pb-1
- Recorded 4.6pb-1 (91%)
- Mostly smooth data taking
- Best two weeks on record in terms of data taking efficiency
- Total number of events collected
- 11 mln
- Beam halo
- Mainly close to be within specs
- Problems are resolved with MCR on case by case basis
- Beam position
- Within 1mm from the detector center and stable

** **

**Week 1**

**Week 2**

- Dmitri Denisov

## Activities During Shutdown Week

- Multiple jobs to improve reliability of the detector elements
- Replacement of muon LVPS VME power supplies: 5 units
- Replacement of fans in the cathedral area: 3 units
- Electronics repairs in the muon A-layer
- Rack monitor interface modifications/maintenance in the hall
- Detector opening/closing and re-survey went smoothly this time
- Recovery from multiple power outages on Friday/Saturday was painful
- Too late with many experts been away from the Lab
- Some elements, including some power supplies, had to be replaced
- Flooding of the collision hall
- Caused by the D0 collision hall used “as drain” during low beta LCW leak on Saturday
- ~100 gallons of water penetrated from the tunnel to the hall under shielding wall
- Silicon control units located on sidewalk, gas piping, etc. have been “under water” for ~ 1-2 hours
- Cleaned as much water as we can during CA on Saturday
- At this moment we see no direct damage to the detector elements
- First post shutdown store
- Started data taking within ~ an hour after beam was stable (re-scraping)
- The only known issue is failure of two muon Level 1 trigger cards at ~1:30am
- Requested one hour access after end of the current store
- Shutdowns are very painful
- Lately no gain in performance
- Always problems with reliability and experts “disturbing” different systems

- Dmitri Denisov

## D0 Summary

- Stably collected physics data with full detector in readout in May
- Last two weeks of May D0 operating efficiency is ~91.5%
- For the month of May operating efficiency is 89%
- June will be hard to keep efficiency high
- Un-stable (for now) accelerator performance
- New trigger list coming on-line
- D0 Experiment Workshop in France (many experts are away for extended period of time)
- Summer vacations starting
- Plan for this week
- Physics data taking during stack and store operations

- Dmitri Denisov
# Presentation: 671121

## Caswell, NC MonitorSite ID 370330001

- 2001 back trajectories for May 4, 2001, collection hour beginning at 1100 hr (15 UTC )

- Attachment F – 8-hour ozone designations docket

## 1100 hr = 15 UTC = 76 ppb

**1100 hr = 15 UTC = 76 ppb**

## 1200 hr = 16 UTC = 84 ppb

**1200 hr = 16 UTC = 84 ppb**

## 1300 hr = 17 UTC = 89 ppb

**1300 hr = 17 UTC = 89 ppb**

## 1400 hr = 18 UTC = 93 ppb

**1400 hr = 18 UTC = 93 ppb**

## 1500 hr = 19 UTC = 96 ppb

**1500 hr = 19 UTC = 96 ppb**

## 1600 hr = 20 UTC = 96 ppb

**1600 hr = 20 UTC = 96 ppb**

## 1700 hr = 21 UTC = 89 ppb

**1700 hr = 21 UTC = 89 ppb**

## 1800 hr = 22 UTC = 73 ppb

**1800 hr = 22 UTC = 73 ppb**
# Presentation: 526480

## INFORMATION EXTRACTION AND RETRIEVAL-BASED DATA COMPRESSION FOR REMOTELY SENSED IMAGERY

- Prof. Chein-I Chang
-  Department of CSEE, UMBC
- Remote Sensing Signal and Image Processing Lab
- Gregory Solyar
- GEST/NASA, UMBC
- Dennis Reuter, NASA, GSFC
- George McCabe, Catholic University

## INFORMATION EXTRACTION AND RETRIEVAL-BASED DATA COMPRESSION FOR REMOTELY SENSED IMAGERY

***General problems***
***Proposed solutions***
***Three stages of compression***
***Results***

## General problems

- 1.**Data processing**:
- Depends upon data exploitation
- Custom designed.
- Costly							2.**Data compression**:
- Preserving crucial information for applications									*Measure of compression effectiveness:**	**	**	*Loss in information retrieval vs. Recovery

## Proposed solutions

-  Information extraction and retrieval as criteria for algorithm design
- Object oriented vs. classical information loss (entropy, signal-to-noise ratio, image quality)
- Hierarchical
- Modular

## Three stages of compression

**	****BAND SELLECTION**

**	****EXPOITATION-BASED ****	****	****	****SPECTRAL ****	****COMPRESSION**

**	****SPATIAL COMPRESSION**

## Spectral band selection stage

**BAND SELECTION**

**SINGLE PIXEL BASED**

**IMAGE BASED**

**FIXED NUMBER OF BANDS**

**SINGLE BAND**

**VARIABLE NUMBER OF BANDS**

**FINITE NUMBER OF BANDS**

**FINITE NUMBER OF BANDS**

**SINGLE BAND**

## Extraction-based band selection

- Remove band-to-band redundancy
- Choose significant bands
- Use high order statistical measures:           		 	a) Spectral Information Divergence (SID) Statistical significance of the individual spectra       		Uniqueness of the individual spectra. 			b) Skewness (asymmetry)               				c)Kurtosis (flatness)
*Advantage: Very adaptable*

## Exploitation-based spectral compression 

- Based on level of target information
- Complete knowledge: Linear spectral mixture analysis including image background
- Partial knowledge: Only objects of interest are required without knowing image background. (Reconaisance applications, search and rescue mission)
- No knowledge at all: Anomaly detection, classification, blind scene analysis and background removal. (Surveillance Applications, environmental monitoring)

## Advantage of exploitation-based spectral compression 

- Significantly suppressed background
- Inter-pixel spatial correlation in abundance fractional images has been reduced

## Third stage of compression

## LSMA compression results

## Results of unsupervised algorithm
# Presentation: 193739

## DF 305 
Taking Care of Employees Needs

- Taking Care of Employees Needs

**Notes:**
Biloxi, Miss., September 12, 2005 -- FEMA Public Information Officers Jess Seigle and Dawn Petchell (center L-R) speak with a resident about the FEMA recovery process. Hurricane Katrina displaced thousands of people from their homes in Mississippi. FEMA/Mark Wolfe 

## Administrative

- Emergency Exits are
- Restrooms are
- Turn pagers and cell phones to _vibrate_
- Side bar conversations are discouraged.

## Course Objectives

- To identify methods for taking care of employee basic needs.
- To identify motivators for employees.

## Welcome

- Your name?
- Where you are from?
- Your course expectation is?
- Your position in the organization?

## FEMA’s Core Values

- Accountability
- Compassion
- Customer Focus
- Diversity
- Innovation

- Integrity
- Public Stewardship
- Partnership
- Respect
- Trust

**Notes:**

FEMA’s theory of customer service is a direct outgrowth of the Core Values which guide the agency.

Discussion on Core Values:  (tg pg. 8)

The list is in your materials take time to look over them. 

Because you are a Disaster Generalist you will be expected to adhere to them.

## Motivation

## Care about your employees

- Listen to and understand their concerns
- Provide them with constructive feedback
- When you disagree, don’t make them wrong
- Acknowledge the greatness in your employees
- Look for positive intentions

## Evaluation

- Please take a few moments to fill out your Evaluation and hand them into the instructor.
- Your input is important to us!
# Presentation: 787415

## Emergency Management Budget Priorities

**Briefing for DOI Annual Business Conference**
**Laurence I. Broun****Departmental Emergency Coordinator****Office of Law Enforcement, Security and Emergency Management**
**May 24, 2006****Hunt Valley, Maryland**

## Purpose 

- Provide overview of Emergency Management program.
- Present “Cross-Cutting Guidance on 2008 Budget Formulation for Emergency Management”
- To review lessons learned from Hurricane Katrina and priority remedial actions.
- Address concerns on budget guidance.

## Emergency Management 

## Cross-Cutting Budget Guidance

- Guidance for Law Enforcement, Security and Emergency Management issued April 26, 2006, jointly by Co-Directors POB and DAS, OLESEM.
- First-ever for Emergency Management Program; applies to all bureaus/offices.
- Deadline for reports: May 26, 2006.

## Areas of Special Attention for EM Budget Development

- DM-900.  Emergency Management Program
- Published January 4, 2006.
- Requires bureaus and offices to provide necessary resources to plan, prepare, respond and recover from emergencies.
- Emerging Requirements for Avian and Pandemic Influenza.
- Remedial Action of Hurricane Katrina Lessons Learned.

## Reporting Requirements

- EM Program funding levels FY-05 through FY-08.
- Narrative on EM activities of the bureau/office.
- Plan to address following specific requirements:
- Designation of Emergency Coordinator
- Compliance with National Incident Management System.
- Provision of Incident Command System training.
- Effective system to maintain situation awareness and emergency reporting.

## Reporting Requirements

- Specific Requirements (continued).
- Resources, staff and support for Continuity of Operations (COOP) training, plan maintenance, alternate facilities, communications, vital records, multi-year program management plan.
- For bureaus designated in 900-DM-5 as “DOI Principal Planners” for National Response Plan, personnel and resources to effectively execute interagency planning, preparedness and response activities.
- Designation of bureau/office representatives and resources to support Interior Regional Emergency Coordinating Councils.

## Reporting Requirements

- Identify gaps in bureau or offices ability:
- To execute responsibilities under DM-900
- To implement Hurricane Katrina lessons learned.
- To meet emerging requirements related to  avian and pandemic influenza.