BEE-spoke-data/govdocs1-by-extension huggingface dataset:
# Presentation: 356551

## Welcome

**[Jurisdiction]**
**Full-Scale Exercise**

**[Date]**

## Opening Remarks

**  ****Local Officials**
**  ****State Officials**
**  ****Federal Officials**
** ****Exercise Planning Team**

## Schedule

**[Time]****      Players’ Brief**
**[Time]****      Exercise Play**
**[Time]****      ENDEX**
**[Time]****      Players’ Hotwash**

**[Date]**

**There will be no formal lunch break.**

## Safety

**Safety Officer for this exercise is ****[Name]**
**Report any injuries**
**Be Mindful of Heat Stress / Injuries**

## Purpose and Scope

**This exercise will provide participants the opportunity to evaluate communications, command and control between the  Emergency Operations Center (EOC) and Incident Command.**
**The scope of this exercise will encompass the ****[Jurisdiction]**** emergency response personnel.  **

## Design Objectives

**Evaluate the ****[Jurisdiction]**** Emergency Operations Plan (EOP)**
**EOC SOGs, checklists, job-aids**
**Evaluate newly developed SOGs and job aids as they relate to the response and duties performed in the EOC**

## Design Objectives

**Secondary goal is to evaluate:**
**Coordination control**
**Communication**
**Emergency Public Information (PIO)**
**Planning**
**Resource management/Demobilization**
**Transition to recovery**
**Evacuation and sheltering**

## Post-Exercise

** ****Please provide copies of all logs, notes, and other documentation to the controllers.**

## Briefings and Events

** ****Controller/Evaluator training **
** ****Hotwash**
** ****Debriefing**

## Conduct of the FSE

** ****Players are expected to remain at the exercise location.**
** ****Starts with 911 calls to Dispatch**
** ****Some follow-on exercise injects**
** ****Subsequent players actions self directed**
** ****Play will not be halted**
** ****Scenario timeline is constant**

## Communications

** ****All communication to outside parties will begin and end with ****“This is an exercise”**
** ****No communication with outside agencies other than the SIMCELL**
** ****SIMCELL**
** ****Admin and Log—Real world**
** ****EOC communications with ****outside**** agencies**

## Observers and Media

** ****Observers will be escorted**
** ****Observers should not interfere with play**
** ****Real World media**
** ****Media should not talk to players**

## Security

** ****No loaded weapons carried  by players in “play area”**
** ****Unauthorized persons**
** ****Hats and badging**

## Assumptions / Artificialities

** ****Scenario**
** ****No hidden agendas**
** ****Played to State level**
** ****May be delay in getting info**
** ****Play it real**

## Exercise Positions

** ****Lead Exercise Planner **
** ****Controllers**
** ****Evaluators**
** ****Simulated Organizations**
** ****Communications**

## Thank You

** ****Questions?**
# Presentation: 352905

## 4th NSTAC R&D Exchange  

**J. S. Edwards**
**Designated NSTAC Industry Executive Committee Representative**
** **
**Date:****	****September 28-29**
-  	University of Tulsa, Tulsa OK

**Perspectives on the Security in Converged Networks**

## Assumptions & Observations

***These comments are directed towards the control space.***
***Control Space Security is a shared responsibility.***

**Assumptions & Observations**

## Control Space Security

***There is a small community of individuals with right-to-modify gross systems behavior.***
***These two communities require different treatments.***

**Control Space Security**

## Tools & Methods

***As a consequence all must work together to seek consistent solutions.***
***Ultimately, as operators drive the market and are subject to user pressure, they have significant leverage.***

**Tools & Methods**

## Impact of Security Standards

***Despite the success of Standards approvals, until they are implemented, purchased and utilized they do not help.***
***As well, the implementation must be mandated and transparent.***

**Impact of Security Standards**

## Testing & proofing

***However, these tests must go beyond to seek out hidden or “bad” code.***
***This is a very difficult process.***

**Testing & proofing**

## Easter Eggs & Rotten Eggs

***Easter Eggs are difficult to find.***
***A “Rotten Egg” is even more difficult to find.***
***It may be inadvertent as well as malicious.***
***It can be anywhere and its effect is difficult to predict.***

**Easter Eggs & Rotten Eggs**

## A policy diversion.

***Anonymous and Authenticated.***
***Anonymous users can read and post.***
***Authenticated users have right-to-modify.***
***Ultimately strong Authentication must be required to modify Control Space.***

**A policy diversion.**

## Where to go?

***Need study of how to go beyond functional testing towards seeking Rotten Eggs.***
***Seek to partition user space and system space.***
***Look at the Policy issues.***

**Where to go?**

## Slide 10
# Presentation: 678445

## Integrated Modeling Environment

- System Engineering Seminar
*Johnny Medina / Code 531*
*Chris Stone / Code 531 / Constellation Software Engineering*

## Integrated Modeling Environment

- Information Technology capability
- Enables shared access
- to engineering models, data files, processes, and documents
- Team collaboration and coordination through use of
- Team calendar
- Action items
- Discussions
- Documents
- Application sharing and online real time communication

- Serves as a support tool
- for group interaction with mixed-fidelity models
- to download models
- to execute models distributed at different locations
- to enable models to interact
- Supports integration of data files with engineering tools
- requirements & risk management
- modeling analysis
- computational simulation
- facilitates engineering reviews

## Integrated Engineering

- Product Data Management
- Hub for the exchange of information, holder of critical information about...
- Users
- Tools
- Products
- Plans
- Processes
- Product Data Model...
- Captures
- Organizes
- Maintains
- Updates
- Shares

- Contains
- Components
- Dependencies
- Attributes
- Behaviors
- Files
- Links
- Logical data modeling
- Distributed information is seen as a single logical entity
- Functional data modeling
- Metadata Repository

## Collaboration Capabilities

- Integrated Collaboration
- Enables cross interaction of knowledge
- Provides the framework for intelligent knowledge search across the communication areas.
- Enabled increases in efficiency and reduced engineering rework
- Collaboration integration with engineering tools
- More accurate representation of engineering assets in discussions and reviews
- Reduction of spreadsheet engineering.

## Demonstration

- NGST Integrated Modeling Environment
- Based on Code 531’s Virtual System Design Environment.
- _[http://vsde.gsfc.nasa.gov](http://vsde.gsfc.nasa.gov/)_ †
- In-development capabilities are:
- Simple Product Data Management
- Integration with Engineering tools
- Parametric interaction within master data model

- (†):The VSDE, and development of the NGST Integrated Modeling capabilities are products of the Code 531, Information Based System Engineering (IBSE) thrust.  Contact _[Johnny Medina](mailto:Johnny.Medina@gsfc.nasa.gov?subject=IBSE%20info%20request)__[ ](mailto:Johnny.Medina@gsfc.nasa.gov?subject=IBSE%20info%20request)__for other IBSE activities, products or services._
# Presentation: 804447

## STAPPA/ALAPCO SURVEY ON:DATA TRANSFER AND MANAGEMENT FOR AMBIENT AIR MONITORING PROGRAMS

## Purpose

- Respond to recurring comments from State and Local air agencies
- Provide results to EPA for developing strategy to meet future needs
- Assess if a more detailed AQS survey was warranted

## STAPPA/ALAPCO Survey Results

- 26 Agencies participated
- 22 State agencies
-   4 Local agencies
- Cumulative:
- 1033 monitoring sites
- 2634 monitors

## Expected Future Changes in the Number of Air Monitoring Sites

## Age of Existing Telemetry Systems

## Desirable Features:Digital Capture of Data

## Desirable Features:Instrument Status Info

## Desirable Features:Auto Zero & Span

## Desirable Features:Remote Zero & Calibration

## Desirable Features:Electronic Strip Charts

## Desirable Features:Automatic Data Validation

## Desirable Features:Electronic Log Book

## Desirable Features:Web Queries from Others

## Barriers to Upgrading(Ranked from Most Difficult)

- Cost
- Current system is too new
- Complexity of creating new system design
- Difficulty to transition to new system

## Barriers to Upgrading(Ranked from Most Difficult)

- Oversight by another agency
- Training
- Compatibility

## National or Multi-Regional Partnerships

- Limited interest in partnerships for procurement purposes
- Greatest benefits are seen for standardized formatting of data streams (ranked over 4 on a 5-point scale)

## AQS Topics

- 50% would like to see a separate survey on AQS
- 46% use AQS as their primary data base management system
- 50% use AQS as the main repository of data
# Presentation: 721964

## Electric Grease

- A track to enable a comprehensive western wholesale electric transaction system.
- A virtual single interface for commercial business.

- Don Watkins (BPA)
- Chair, Common Systems Interface Coordination Group, Seams Steering Group – Western Interconnection
- 360-418-2344  dswatkins@bpa.gov

- FERC Technical Conference

- July 18, 2002

## Value

- Delivers a virtual single western commercial interface for wholesale electric business.
- Enables an efficient market.
- Enables effective *monitoring* for the *market *and for *reliability*
- Creates high business agility without sacrificing reliability.
- Provides excellent access to information.
- Optimizes vender competition.

- Level Playing Field

- FERC Technical Conference

- July 18, 2002

## Functional Model

**Transmission **
**Market Systems**
-  Pre-schedules
-  Same day

**Real-Time**
**Operations**
- Manage schedules
- DSM
- Curtailments

**Transmission**
**Rights**
-  Obtain T rights
-  Rights tracking

**Energy **
**Buy / Sell**
- Buy
- Sell

**Settlement & Billing**
-  Reconciliation
-  Settlements
-  Billing &      Accounting

**Common Information Interface** (hooks, pointers, validation)

**Data Mart /**
**Meta-data Registry**
-  Archiving
-  Audit
-  Dispute Resolution

**Human/Electronic Standard Interfaces**

**Legacy Systems & components**

**Market Monitor.**
**Reliability Coordinators**.

**Electronic Funds Transfer**

**Metering**

- FERC Technical Conference

- July 18, 2002

## Development Business Model

**Standards**
**Groups**

**Regulators**

**GOALS:** more choice and improved services for all market participants; lower prices from reduced transaction costs and wider trade opportunities; improved reliability through better grid operations and expedited infrastructure improvements; and certainty about market rules and cost recovery for greater investor confidence.  - FERC 3/13/2002

**Process Management**
**        ****Policy and direction**

**Audit & Standards Control**

**Traders **

**Generators / **
**Load Servers**

**Western RTO’s/ISO**

**Vendors**

**Develop and *****implement***** open   standards and supporting systems. **

**Performance driven.**
**Design with intrinsic drivers for success.**

**Electric Grease Consortium**

- FERC Technical Conference

- July 18, 2002

## What can FERC do?

- Support flexibility to allow implementation of the Western Market Vision.
- Support developing a comprehensive western commercial interface.
- Support stakeholders joining to design a western business model for this development.
- Final Thoughts.....
- This is a significant step toward a one-stop single market vision.
- It will take time (evolutionary, not revolutionary)

- FERC Technical Conference

- July 18, 2002
# Presentation: 664406

## NEUTRON DIFFRACTION FROM GLASSES AND LIQUIDS AT HIGH PRESSURE

** **
- Chris Benmore1, Chris Tulk2, Malcolm Guthrie2, Jacob Urquidi1, Sujatha Sampath1, and Joan Siewenie1
- 1 Intense Pulsed Neutron Source,Argonne National Laboratory/ 2 Spallation Neutron Source Project Oak Ridge National Laboratory

- Photographs of the Paris Edinburgh cell designed for neutron scattering experiments at high pressure.
- Maximum Pressure :
- 10GPa with tungsten carbide anvils.
- 25GPa with diamond anvils.
- Large Sample volume:
- V=80mm3 of sample up to 10GPa

- Photographs of the tungsten carbide anvils and TiZr (null scattering) gasket.

- Preliminary data on liquid D2O (top curve) at 0.7GPa on GLAD, compared to the signal from a high density amorphous ice sample (bottom curve) run in the orange cryostat on GLAD.

- Pressure calibration curve measured on GLAD
# Presentation: 071071

## Neutron Spin Echo Spectroscopy(NSE)

*NCNR, NIST*
*Gaithersburg, MD 20890*

**Neutron Spin Echo Spectroscopy****(NSE)**

**Group A**

- Alina Visinoiu
- Erick Lawson
- Gokhan Caliskan
- Jose Rodriguez
- Kapil Gupta
- Martin Sulic
- Mike Lewis
- Tessema Xabiher

## Why NSE?

**Why NSE?**

- H2O

- C10H22

- Surfactant

**Surfactant film**

**Diffusion:**
- • NMR
- • Dynamic light scattering
- (*t* scale > 100 ns)

- Shape fluctuations are in very short time and length scales!

## Experimental

**Experimental**

- Hydrophobic tail

- Hydrophilic head

**Surfactant molecule**

**AOT**

**Experiment I**
**Diffusion** of AOT micelles in C10D22
- (5.4 % vol. fraction)

**Experiment II**
**Shape fluctuations** in
- AOT/D2O/C10D22 microemulsion
- (5.4/4.6/90 % vol. fraction)

**Inverse microemulsion droplet**

- D2O

- C10D22

- AOT

**Inverse spherical micelle**

- C10D22

- ~ 25 AOT

- Translational
- diffusion

- Translational
- diffusion

- Shape
- fluctuations

## Principle of NSE

**Principle of NSE**

***n***

***B***

***B***

**sample**

- Neutrons posses spin and magnetic moment. They precess in magnetic fields with the Larmor frequency that depends on the strangth of the magnetic field only. (*g* =1.83108 s-1T-1)

***B***

********L**

***S***

***N***

**!**

## Summary of data analysis

**Experiment I**
- AOT micelles in C10D22

**Goal:**
** ****Calculate the bending modulus of elasticity**
** ****Calculate the frequency of deformation**

## Echo Point determination 

-  Measured echo point for 13 fourier time points at three Q values (.05,.085,.12)

- Echo Point:- Phase current where the magnetic field integral in the two magnets are
-                      balanced.

## Results 

-  Faster decay at high Q

## Results

-  Stokes-Einstein Relationship:
-                       D = (1-)kBT/6Rh,
-   Rmicelle=1.6nm
-  Remulsion= 3.4nm

- Values are in good agreement with the SANS Data.

## Results 

| Damping frequency 
(2) (Hz) | 1.45e+7 |
| --- | --- |
| Amplitude (a2) | .0406 |
| Mean radius (A0) | 34 |
| Dtrans(A2/ns) | 4.24 |

-  Fitting model

##  Bending modulus 

-  Bending modulus

**2- damping frequency
- <|*a*|2> - amplitude of deformation
*p*2- size polydispersity, measured by SANS

*k*= .1*k*BT

-  Fluctuations are thermal in origin

## Summary

-  Energy resolution is very high (10-5meV)
-  Measures the Intermediate scattering function(I(Q,t))
-  Provides information on the Brownian dynamics of the particle
-  Very small shape fluctuations can be characterized

**Acknowledgements**

-  NIST/NCNR staff
-  NSF
# Presentation: 423184

## Software Asset Management System (SAMS)at Sandia National Laboratories

- Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company,for the United States Department of Energy’s National Nuclear Security Administration under contract DE-AC04-94AL85000.

**June 12, 2007**
**Ramona Gallegos**
**Programmer/Analyst, Org. 04342**
**SAMS Project Lead**

## What is SAMS?

**A system designed to treat software as an asset**
**It has two high level goals:**
**Allow for tracking of software licenses in which Sandia has an interest**
**Enable reapplication of software licenses across the enterprise**

**What is SAMS?**

## Why SAMS?

**Budget, accountability, licensing compliance**
**Inventory is key to management of software assets**
**Management of software assets requires**
**knowledge of annual maintenance or software assurance costs**
**knowledge of the number of licenses you own and can apply**
**knowledge of how the software assets are in use in the enterprise**
**the ability to reapply these assets across the enterprise **

## SAMS Current State

**SAMS Current State**

**Currently able to register a software license and associate people and/or machines with that license**
**Some of the information recorded includes purchase cost, maintenance cost, expiration dates, number of seats, license ownership, secondary use rights**
**Accomplished using existing infrastructure configuration items in Sandia’s NetWork Information System (NWIS)**
**People**
**Machines**
**Organizations**
**Projects**
**Vendors**

## SAMS Permissions

**SAMS Permissions**

**One of the first questions is who will manage software**
**Currently there are two permission levels**
**CSU Personnel and System Administrators**
**Can associate people/machines with software licenses**
**SAMS Administrators**
**Can add/edit/delete software, software versions, software licenses**
**Can associate people/machines with software licenses**
**The SAMS Administrators must create the software and license in SAMS before it can be associated with people and/or machines**

## SAMS in Use at Sandia

**SAMS is in use at Sandia for a variety of purposes**
**to track the machines associated with MSDN licenses so that these machines are excluded from the annual count of machines subject to Microsoft licensing fees**
**to track the people using a seat (or multiple seats) under a 500-seat Dreamweaver license**
**to track the people using a seat under a SmartDraw 100-seat license, and recover the cost of the license from each person**
**to track the software installed on Sandia owned machines at the Yucca Mountain Project (YMP)**

## SAMS Overview

**SAMS Overview**

## Contact Information

**Ramona Gallegos**
**Sandia National Laboratories**
**PO Box 5800, MS-0662**
**Albuquerque, NM 87185-0662**
**(505) 284-8866**
**rkgalle@sandia.gov**** **
# Presentation: 024835

## Application of SPARROW Results for Developing TMDLs in New England

**Alison Simcox**
**EPA New England**
**NEAEB 2004**
**Jiminy Peak, Hancock, MA**
**March 17, 2004**

**Application of SPARROW Results for Developing TMDLs in New England**

## Acknowledgments

**VT DEC**		– Tim Clear, Neil Kamman
**EPA New England** – Eric Perkins, Matt Liebman
**EPA GIS Center****	**– Tom Pearson, Deb Cohen
**USGS**			– Rich Moore, Keith Robinson
**NEIWPCC****	****	**– Laura Blake

## Project Objectives

- Show use of SPARROW for developing TMDLs for actual watersheds
- Identify assumptions/limitations of model for developing TMDLs
- Develop procedures/guidelines for using SPARROW information/results in TMDLs
- Offer technical support to states interested in using SPARROW for TMDLs

## Ideal Pilot watersheds

- Provide range of
- Spatial scales
- Nutrient sources (Pt, Pt-NPS, NPS)
- Land uses
- Waterbody types

## Slide 5

## Slide 6

## Slide 7

## SPARROW

## Slide 9

## Slide 10

## Guidance Outline for using SPARROW for TMDLS

- Introduction and Purpose
- Overview of the SPARROW
- Elements of TMDL Submission(pilot watersheds)
- Problem statement
- Applicable WQSs and numeric targets
- Loading capacity - linking WQ & sources
- LAs/background and WLAs
- MOS
- Seasonal variation
- Monitoring/implementation plans (optional)
# Presentation: 136096

## PHENIX Status

- In the previous week PHENIX took mostly local polarimeter (LPOL) data
- Used to help sort out issues with yellow polarimeter.
- Physics declared April 17th
- Since that time we have sampled ~88nb-1 BBCLL1
- Almost all of this will be used as minbias data
- Polarization measurement not reliable until after Tues. access
- Didn’t really start on our physics goals until last night...
- What PHENIX Needs:
- Work on storage RF to improve vertex distribution
- Bunch pattern with empty-on-full crossings
- Stable, reproducible physics running over weekend (4/22-4/24)

- J. Lajoie - RHIC Machine/Expt. Meeting

## Run-5 pp Integrated Luminosity

**(4/20/05)**

**COMING SOON!**

- J. Lajoie - RHIC Machine/Expt. Meeting

## 400+ GeV Running

- It is the position of PHENIX that 400+ GeV development is ***extremely important*** to the future of the polarized proton program at RHIC.
- Equally important as our Run-5 physics goals.
- We would prefer the 400+ GeV energy ramp development to commence after we have integrated  **P****4****L**** ~62 nb****-1** (this is 1.5 pb-1 at 45% polarization).
- This gives PHENIX sufficient running time to be able to establish reasonable projections for the rest of the run, and enables us to better understand the impact of shifts taken for machine development instead of physics.
- The polarization development with the 400+ GeV ramp should come in the week immediately following the energy ramp development.
- The overall development time should be discussed with a **very clear understanding of the potential loss of physics**, based on our experience and machine performance.
- One day of physics running at 400+ GeV should come at the end of the 200 GeV physics program.

- J. Lajoie - RHIC Machine/Expt. Meeting

## BACKUP

- J. Lajoie - RHIC Machine/Expt. Meeting

## PHENIX pp Delivered Request

- PHENIX Beam Use Proposal
- Integrated “recorded” (sampled) luminosity 5.5 pb-1 with >45% longitudinal polarization
- Convert this to RHIC Delivered Luminosity
- Vertex cut = 0.45
- Measured from recent runs ZDCnarrow/ZDCwide
- PHENIX efficiency
- BUP planned on 0.6, we’ve seen 0.75 in CuCu
- Many improvements made for pp run to improve efficiency
- RHIC Delivered:
- 5.5 pb-1/(0.45*0.6) = _**20 pb**__**-1**__** RHIC delivered**_
- Need to get to >2 pb-1/week as soon as possible...

- J. Lajoie - RHIC Machine/Expt. Meeting
# Presentation: 024544

## PHENIX EMCAL readiness for Run V

- Sebastian White for
- T.Awes, E.Kistenev,A.Denisov, G.David
- S.Fokin, I.Yushmanov,I.Shein, S. Stoll,A.Yanovich,S.Mioduszewski (and others not present at last EMC meeting)
***Despite large number of active people, physics output per FTE is by far the highest in EMC wrt rest of PHENIX, if not all RHIC experiments.***

## Legacy from Run IV

- Pb/Glass- groups of PMT’s (typically ~1/4 of a sector) shifted in gain periodically
- Suspect that due to noise on the CW reference line
- This was tracked by LED calib data
- Currently setting up monitor of this in order to repair before run start
- Pb/Sc & Pb/Gl - assorted bad bases, PMT’s.ie ~50 in Pb/Gl
- 	working through the list. Expect on-time completion

## Status from last run easily available(we have no secrets)

- ie. Sector E1 deadmap
- <------

- Sector E1 noisy channels------------>

## Pb/Sc problem summary from Andrey Yanovich

## Slide 5

## Ongoing preparations for Run

- Going through inventory of spare electronics@BNL
- Would like to have 30 full kits for FEM’s
- Will need fair amount of LED/laser data in standalone over coming weeks
- Strong _[presence @BNL](mailto:presence@BNL)_ from IHEP and KIAE supporting hardware setup of Sc, Glass systems

## other

- Pb/Sc calibrations moving away from laser to data based procedures (except TOF lc and slewing curve)
**A. Yanovich and L. Aphecetche identified as EMC Oncal representatives**
- Many other issues in preparation for run-ie decision in consultation w. PWG’s to keep same dynamic range, etc.
- Many interactions w. PWG’s. ie
- Uniform framework for EMC tof PID
- Analysis of ert trigger performance in Run V

## Initial conclusion of Xie Wei and 

- Initial conclusion of Xie Wei and
- Xinhua Li analysis note. Bad!
- <------

- Final version after several EMC mtgs. Much better!!
- ----------------------->
# Presentation: 349881

## Climate Change: Consider the Energy Mix

**U.S. Department of the Interior**
**U.S. Geological Survey**

**Brenda Pierce****U.S. Geological Survey--Energy Resources Program**

**Climate Change: Consider the Energy Mix**
**The Importance of Energy Resource Information                                 to Climate Change Response Strategies**

## World CO2 Emissions

- NPC

- IEA

**World CO****2**** Emissions**

## Electrical generation

- EIA

**Electrical generation**

## Energy consumption by fuel, past and projected

- EIA

- IEA

***U.S.***

***World***

## Slide 5

## Energy information for: natural resource security, energy mix scenarios, climate change models

**Oil and **
**Natural Gas**

**Coal and Coalbed Methane**

**Geothermal**

**Gas Hydrates**

***Heavy Oil******	******Natural Bitumen***
***Oil Shale******	******Tar Sands***
***Uranium******	******Non-hydrocarbon sources***

## Energy information for: natural resource security, energy mix scenarios, climate change models

**Energy information for: natural resource security, energy mix scenarios, climate change models**

## U.S. oil and gas resources

**U.S. oil and gas resources**
**Undiscovered, technically recoverable**

## Energy information for: natural resource security, energy mix scenarios, climate change models

**Energy information for: natural resource security, energy mix scenarios, climate change models**

## World petroleum

**World petroleum**
# Presentation: 492509

##  Intensified Color CameraInterScience, Inc., Troy, NY

- Innovation
- The Intensified Color Camera is a compact sensor which combines the capabilities of high spatial resolution image intensification with color sensitivity. This results in an improved imaging capability which retains color sensitivity at low light levels.

- Accomplishments
- Conventional image intensifiers provide a monochromatic image.  In many  situations, such as surveys of space and earth, considerable information is contained in the spectral data that would be lost in monochrome. With initial support from NASA, we recently complete development of  technology that intensifies and preserves color information in images. The design is based on a proprietary color filter and has now been conceptually extended to real-time video, including IR sensitivity. System performance was demonstrated by intensified "before-and-after" images. The "before" images were in conventional monochrome. The "after" images demonstrated restoration of color to the intensified images. One demonstration was produced with 80 millilux of illumination. Another demonstration  was produced with only 15 millilux of illumination.

- Commercialization
- InterScience is actively seeking a partner to help commercialize its
- intensified color imaging  technology.

- Government/Science Applications
- Improvements in the sensitivity and resolution of image intensifiers  has led to introduction of the technology into a broad range of products.  At the present time, the principal application has been in night vision goggles and gun sights used by the military and law enforcement community. Increasingly, however, it is finding a role in the consumer market for binoculars, in the commercial market for surveillance, in the scientific market for detection of very low intensity optical signals. For all these applications, the ability to retain chromatic information would be of significant interest, more so in some applications than others. Indeed, the ability to see color from image intensifiers may create a greater demand for image intensifiers. As has been noted, this capability can be of significant value for space missions such as earth observation.

- Points of Contact:
-  - Jane I Fox;  jifox@ems.jsc.nasa.gov
-   -Dave Connolly; connollyd@intersci.com
- 1994 SBIR Phase II; NAS9-19498

- Johnson Space Center
- Date of Update01/17/00
- Success Story # 09-024

**Intensified Monochromatic Space Images: **
**Mono vs Color**
# Presentation: 905690

## Albert Michelson (1852-1931)

**Albert Michelson **(1852-1931)

- Michelson wanted to measure the speed the the earth moves through the ether (the medium in which light travels).  By measuring the interference between light paths at right angles, one could find the direction & speed of the ether.

- Michelson’s
- first
- interferometer
- (1881)

## Michelson-Morley Experiment

**Michelson-Morley Experiment**

- Michelson-Morley
- interferometer (1887)

- Still no fringes  No ether.
- The speed of light is constant.
- A new physics of light was needed.

- "My honored Dr. Michelson, it was you who led the physicists into new paths, and through your marvelous experimental work paved the way for the development of the theory of relativity.“ – Albert Einstein, 1931.

## More about Michelson

**More about Michelson**

- Michelson became the first American to win the Nobel Prize in physics in 1907.

- He continued pioneering optical measurements:
-  The speed of light
-  The size of stars
-  Using a particular wavelength of light as a distance standard
# Presentation: 573813

## SNAP Spectrograph Optical Design

- 05 / 12 / 2002

## Instrument Requirements

## IFS position

## Relay optics and Slicer unit layout

## IFS optical layout

## IFS paraxial data

## IFS Surfaces data summary 1/6

## IFS Surfaces data summary 2/6

## IFS Surfaces data summary 3/6

## IFS Surfaces data summary 4/6

## IFS Surfaces data summary 5/6

## IFS Surfaces data summary 6/6

## Spectral resolution 1/2

## Spectral resolution 2/2

## Preliminary tolerances analysis

## IR line. RMS through focus spot radius. (The nominal focus is 210.678 mm)

## Visible line. RMS through focus spot radius. (The nominal focus is 162.831 mm)

## IFS_Geometric aberrations on the IR detector_without oversized pupil_with telescope_slice 1_=1μm

## IFS_Geometric aberrations on the IR detector_without oversized pupil, with telescope_slice 1_=1.35 μm

## IFS_Geometric aberrations on the IR detector_without oversized pupil, with telescope_slice 1_=1.7 μm

## IFS_Geometric aberrations on the IR detector_with oversized pupil_without telescope_slice 1_=1 μm

## IFS_Geometric aberrations on the IR detector_with oversized pupil_without telescope_slice 1_=1.35 μm

## IFS_Geometric aberrations on the IR detector_with oversized pupil_without telescope_slice 1_=1.7 μm

## IFS_Geometric aberrations on the IR detector_without oversized pupil, with telescope_slice 19_=1.35 μm

## IFS_Geometric aberrations on the IR detector_with oversized pupil_without telescope_slice 19_=1.35 μm

## IFS_Geometric aberrations on the IR detector_without oversized pupil, with telescope_slice 20_=1.35 μm

## IFS_Geometric aberrations on the IR detector_with oversized pupil_without telescope_slice 20_=1.35 μm

## IFS_Geometric aberrations on the visible detector_without oversized pupil_with telescope_slice 1_=0.4 μm

## IFS_Geometric aberrations on the visible detector_without oversized pupil_with telescope_slice 1_=0.7 μm

## IFS_Geometric aberrations on the visible detector_without oversized pupil_with telescope_slice 1_=1 μm

## IFS_Geometric aberrations on the visible detector_without oversized pupil_with telescope_slice 19_=0.7 μm

## IFS_Geometric aberrations on the visible detector_without oversized pupil_with telescope_slice 20_=0.7 μm
# Presentation: 748675

## Joint Action Group for National Wildland Fire Weather Needs Assessment - Agency Needs

- USDA Forest Service
- Research and Development /   Fire & Aviation 				Mngt.
- Contact:
- A.R. Riebau, PhD.	          Pete Lahm
- _[ariebau@fs.fed.us](mailto:ariebau@fs.fed.us)_	          plahm@fs.fed.us
- 703 605 5280	          202 205 1084
- 		     	       24 Jan 06

## FS Mission: Protecting the land and serving the people.

Fire Mission:  Protecting resources and returning fire to its natural role on the public lands in a manner that serves the public interest.

- FS Mission: Protecting the land and serving the people.
- Fire Mission:  Protecting resources and returning fire to its natural role on the public lands in a manner that serves the public interest.

## What fire management decisions/processes require fire weather and climate information? 

- Fire fighting
- Prescribed fire
- Wildland use fire
- Planning
- Resources allocation and deployment
- Air quality management (smoke)
- Suppression strategies
- budgeting

## Who are your users and stakeholders of fire weather information?

- Field fire management officials/technicians
- GACCs
- State and local air quality bureaus
- Public

## Which TOR functional areas would your agency consider to be a priority? 

- Data collection
- Resource Considerations
- Weather forecast products and services
- Air Quality
- Fire weather research and development
- Modeling, prediction, and data assimilation

## As relates to the wildland fire weather ‘system’ what are best practices? 

- New uses of mesoscale models and applying these to augment traditional ways of calculation of fire weather ‘indices’
- Use of trained IMETS
- Use f fire weather forecasts for fire behavior
- Use of mesoscale models for smoke

## What are our operational deficiencies or needs? 

- Assessment of fire season severity in advance of the season (R&D)
- Smoke emissions, transport, and potential impacts
- Improved fire danger and behavior (R&D)
- Spatial forecast products with displayed uncertainties
- An improved RAWS network

## What is the required operational capability we hope to achieve? 

***More accurate spatial (4 KM or less) forecasts 72 hours or more into the future with displayed uncertainties.***
***Improved smoke tools***
***Seasonal forecasts for fire danger and severity by watershed or ecoregion.***

## What are the standards for mesonet station site location?
What are the standards for sensors and sensor calibration?
What are the standards for fire weather data QA/QC?
Does the WUI present specific and differing needs for products?
How will we better address smoke?

- What are the standards for mesonet station site location?
- What are the standards for sensors and sensor calibration?
- What are the standards for fire weather data QA/QC?
- Does the WUI present specific and differing needs for products?
- How will we better address smoke?
# Presentation: 620691

## Channel Management

- Andreas Lüdeke
- Swiss Light Source / PSI
- 20 May 2003
- EPICS Collaboration Meeting

- EPICS WS

## Introduction

- CA-
- Clients

- CA-
- Servers

- Configuration

-  Display Configuration
-  Machine Model
-  ...
-  Channels

-  Channels
-  ...
-  Procedures
-  Hardware Configuration

-  medm
-  Alarmhandler
-  ...

-  EPICS IOCs
-  Portable CA Servers

- EPICS WS

## Questions to Answer

- Server Developers:
- Which of my channels are used?
- Who’s using those channels?
- Client Developers:
- Is my channel configuration ok?
- Where was a disconnected channel once served?
- Operations Manager:
- Will all client applications still work?

- EPICS WS

## Plan

- Keep track of all provided channels
- IOC name
- Channel Name and Record Type
- Fields of those Record
- Keep track of all required channels
- Client application name, start-up arguments
- Channel name, field
- Provide set of scripts to answer the questions

- EPICS WS

## SLS Implementation

- Clients

- Server

- Database

-  g.adl

-  h.alh

-  i.conf

- EPICS IOCs

- EPICS WS

## Server Implementation

- EPICS IOC

- Database

- Boot Host

- startup.script

- EPICS WS

## Parser Implementation

- Config. Files

- Database

- Parser

- Launcher
- Configuration

- extract channels
- and commands

- EPICS WS

## Parser: e.g. medm

- Extract all references of channels
- Configuration files can be templates
- Reads macro substitution from command line
- Parser does substitution
- Recursion
- Calls of related panels and commands  call parser
- Prevent infinite recursions  each combination of command and arguments is only parsed once!

- EPICS WS

## Database Implementation

- Application Config Channels

- Application Config   Files

- IOC Channels

- Record Type Definition

- Filename
- Macrovar
- Device
- Property
- Field

- Filename
- Config File
- Load Date

- IOC
- Device
- Property
- Record Type
- Load Date
- Deleted Date

- Record Type
- Field
- Field Type

- EPICS WS

## SQL Queries

- Check of a single high level appl. config file
- Get all config files with unsupported channels
- Get all properties of a device
- Public properties, used by some applications
- Private properties, used by no application
- Get all IOCs with a certain device or property
- Check naming convention of provided channels

- EPICS WS

## How to make it Generic?

- Parsing should be featured by the tools
- Extract channel names  (medm -GetChannels ...)
- Extract command lines (medm -GetCommands ...)
- Site specific configuration:
- Naming convention (@SLS: Device  ‘:’  Property  ‘.’  Field)
- Repository of command lines (@SLS: “Launcher”)
- Environment variables for config file locations
- Database table access

- EPICS WS

## Outlook

- Central channel repository
- Add IOC link repository (dbcar2odb)
- High level application testing
- Adding versioning / CVS tag information
- Bind to software release mechanism
- Automatic periodic background checks
- Add more tools to query database
- Make it a generic EPICS extension

- EPICS WS

**Notes:**
Adding CVS tag information to high level application
# Presentation: 497761

## ProCompThe Denver Public Schools/Denver Classroom Teachers Association Professional Compensation System for TeachersPresented to the Board of EducationApril 6, 2006

## ProComp: The Policy Premise

- Teacher compensation, which is a school district’s single largest expenditure, should be linked directly and in multiple ways to improved student learning, which is the district’s intended organiztional outcome.

## ProComp Aligns Teacher Compensation with District Goals

- Replaces a system of capped entitlements with a system of uncapped earned increases
- Allows teachers to design their own professional pay package based on what they do and where they want ot go with their career
- Requires $25 million in new revenue

## ProComp is Built on A Foundation of Guiding Principles

- ProComp will be negotiated, and therefore owned, by DPS and DCTA
- All bargaining unit positions have the same opportunity
- Cost of living adjustments will be made equally to both systems
- The system will not be enacted unless it is fully funded
- The single salary schedule will be maintained until the last bargaining unit member on it retires
- There will be no quotas
- Current teachers will have the right to opt in over the next seven years

## The ProComp “Menu” Is Composed of Ten Elements

## ProComp Rethinks How We Grant Salary Increases 

## Thank YouFor More Information Contact

- _[www.denverprocomp.org](http://www.denverprocomp.org/)_
- _[Brad_Jupp@dpsk12.org](mailto:Brad_Jupp@dpsk12.org)_
# Presentation: 774641

## Session #60

- Financial Institution Scorecards
- Jerry Wallace
- Ben Chiu

## Financial Institution Scorecards	

- What are scorecards?
- Scorecard training tools
- Process for refining scorecards
- Using scorecards to measure performance

## What are Scorecards?

- A Risk Management tool
- Improve Program Integrity
- Improve Program Compliance
-  Available to GA and lender via FPDM
- http://www.fp.ed.gov/PORTALSWebApp/fp/dmart.jsp

## Data Mart Training Tools	

- Online Training Available
- http://www.fp.ed.gov/fp/attachments/fms_data_nslds/intro.htm

## Process for Refining Scorecards

- 2001 – FPDM released for internal use
- 2002 – GA access to FPDM
- 2003 - Lender Scorecard Developed
- 2004 – GA Scorecard Developed
- 2007 – Lender access to FPDM

## Process for Refining Scorecards

- Power Users Group
- Bi-weekly meetings
- FPDMHelp@ed.gov

## Measuring Performance

- Using Scorecards to Measure Performance

## Sample GA Scorecard

## GA Performance Indicators	

- Change in Federal Funds
- Minimum Reserve Ratio
- Cash Liquidity
- Change in Operating Funds
- Projected Minimum Reserve Level
- Cohort Default Rate (Data based on two fiscal years)

## GA Performance Indicators	

- Percentage of Change in Default Portfolio
- Portfolio Characteristics
- Rate of Reinsurance
- Account Maintenance Comparison
- Total Collections on Defaulted Loans Current Year

## GA Performance Indicators	

- History of Total Collections on Defaulted Loans
- Market Share
- Change in Loan Status
- Edit Pass Rate
- FFEL Collections
- Direct Collection Activities

## GA Performance Indicators	

- Rehabilitation Collections

##  Key GA Indicators	

- Reserve Levels
- Minimum Reserve Levels
- Cash Liquidity

##  Key GA Indicators	

- Claims and Cohort Rate
- Percent Change in Default Portfolio
- Portfolio Characteristics

##  Key GA Indicators	

- Collections
- Direct Collection Activities
- History of Total Collections on Defaulted Loans

## Sample Lender Scorecard

## Lender Performance Indicators	

- Portfolio Characteristics
- Default Claim Rate
- Change in Default Claim Rate
- Delinquency Rate
- Change in Delinquency Rate
- Origination Fee Variance
- Interest Adjustments

## Lender Performance Indicators 	

- Cohort Default Rate
- Change in Loan Status
- Purchases
- Sales
- Capitalized Interest
- Voids
- Program Review Results

## Lender Performance Indicators 	

- ED 799 Late

##  Key Lender Indicators	

- Portfolio Characteristics
- Purchases
- Sales

##  Key Lender Indicators	

- Default Rate
- Default Claim Rate
- Change in Default Claim Rate

##  Key Lender Indicators	

- Adjustments
- Origination Fee Variance
- Interest Adjustments
- ED 799 Late

## Contact Information

- We appreciate your feedback and comments. We can be reached at:
- Phone: Jerry Wallace (214) 661-9515
- Phone: Ben Chiu (415) 486-5623
- Email: _[Jerry.Wallace@ed.gov](mailto:Jerry.Wallace@ed.gov)_
- Email: _[Ben.Chiu@ed.gov](mailto:Ben.Chiu@ed.gov)__ _
# Presentation: 637756

## Red: Dissolved species

- SITE

- Shiller

- Krabby

- Aiken
- *See sample
- list below

- Jerican
- 20 Liter

- Horowitz
- **see sample
- List below

- Striegl

- Grab
- 250 ml
- Poly
- "Shiller bottles"

- 2

- each Hold
- bottle
- gets

- 0.45 um
- syringe
- filter

- 0.02 um
- syringe
- filter
- w/plunger

- 15 ml
- Poly
- Shiller
- bottle

- 2
- trace
- metals

- 15 ml
- Poly
- Shiller
- bottle

- 2
- trace
- metals

- Grab
- 1 Liter
- Teflon
- Hg

- Grab
- 80 Liter
- 10-L poly jugs

- 8 10- L
- Jugs
- Capsule
- filtered

- see
- Churn
- Flowchart

- EDI
- 15 Liter
- 1.5 jugs

- Grab
- 60 ml
- 2 syringes

- Inject through
- 0.45 um filters
-  into 30 ml
- serum bottles

- 2 samples
- from each
- syringe

- 4
- CO2/CH4
- DIC
- 13C

- Keep chilled

- Striegl/Kendall

- Grab
- 60 ml
- 1 syringe

- Inject through
- 0.45 um filters
- Into 20 ml
- glass vials

- 1
- Brown vial
- 13C-DOC

- Chilled,  dark

- Bottom
- Sediment
- Grab
- Teflon vial

- 1
- Use scoop
- Collect
- upper 2-4 cm

- Keep cool
- Freeze ASAP

- 1
- Clear  vial
- w/CuSO4
- 13C-DIC

- Chilled, dark

- Blue: Whole water

- Barber
- ****see sample
- List below

- Grab
- 1-L
- Amber
- glass

- 2
- Chilled
- RU

- Raymond

- Inject through
- Filter into
- 60 ml amber
- bottle

- 1
- 14C-DIC

- Acidified with
- PO4 acid
- Cap wrapped
- w/Electrical tape

- Wickland#

- Grab
- 10 liter
- 10-L poly jug

- 1 10-L
- Jug
- Capsulle
- filtered

- Keep chilled
# Presentation: 224744

## Resource Adjustments

- Michele Mock/Mary Clary
- Financial Policy & Training

## What is a Resource Adjustment?

- 	A Resource Adjustment is an online process in which costs are transferred from one LBNL project or account to another.

## Criteria

- A Resource Adjustment is to be made only when it meets the following criteria:

**Necessary**

**Appropriate**

**Fully Documented & Justified**

## Necessary

- When the costs, as originally recorded, were:
- Charged to an intermediate cost objective & need to be allocated to final cost objectives; or
- Coded improperly, thereby, charging wrong project(s), suspense/dropout project(s), or an inappropriate resource category; or
- Where there has been a justifiable & appropriate change in decision as to where a resource is to be used.

## Appropriate

- A Resource Adjustment is appropriate only when costs are:
**Reasonable **(prudent business judgment)
**Allocable** to the receiving project (project receives benefit)
**Not expressly unallowed in Contract 31 **(via Federal Acquisition Regulations – FAR)

## Fully Documented

- Documentation is subject to audit and should be retained for **three years** according to Laboratory archiving policies.
- An email confirmation to the authorized requestor is to be retained with other supporting data.
- Documentation, including all approvals is to be maintained by the originating division

## Approval Threshold

- Resource adjustments of ≥ **$5,000** need approval from a designated approver.
- Threshold definition: The amount of total direct cost  debits or credits of the Resource Adjustment.
- Exception to threshold:
- Month end reversing adjustments/accruals by OCFO
- Recurring service center recharges require a single, annual approval

## Labor Adjustments in HRIS

- Labor adjustments are resource adjustments.
- The same rules apply!

## Justifications – Not So Good

- Moving the unallowable costs of $ from XXXXXX to the appropriate account XXXXXX.
- Project manager did not know who to contact to change project id on telephone services.
- Correction

## Justifications - Better

- Transfer travel costs to benefiting projects. Dr. XXXX erroneously charged XXXXXX for her Dec trip. Her time card shows XXXXXX should be the benefiting project.
- To reallocate Sep04 Fedex charges that inadvertently went into the division dropout acct. because the airbill was missing a project id and/or had an invalid project id listed. This RA will transfer costs to the appropriate benefiting project.
- Employee's effort went to the drop out project ID. This adjustment moves the cost to the correct project ID.
# Presentation: 122324

##  What is DiscoveryGate?

- DiscoveryGate is a web-based application for querying specialized properties databases

## Reaction Databases

**ChemInform Reaction Library –**Solution phase synthetic methodology since 1900. 50,000 new rxn per year.
- .
**Current Synthetic Methodology -**Emphasis on new methodologies since 1992.
**Derwent Journal of Synthetic **Methods-Electronic version of the journal. Emphasis on functional group transformation.
**MDL Reference Library of Synthetic Methodology -**Broad collection of novel methods. 1837-1991. inc Theilheimer.
**MDL Solid Phase Organic Reactions **-reactions of small molecules on solid support.
**ORGSYN - **Proven preparative methods for organic compounds .

## Chemical Sourcing

**MDL Available Chemicals Directory**** –**
**         **
- 400,000 compounds from 680 suppliers.
-  Industry standard
- Identify and locate commercially available chemicals
- Make side-by-side comparisons of purity, quantity, and price.
-  Save valuable time by accessing information from a single source.
-  Readily compile lists of chemicals of interest.
**MDL Screening Compounds Directory-Consolidated Supplier Catalogs for High-Throughput Screening**.
-  3 million compounds from 46 international suppliers of HTS compounds.

## Major Reference Works

**Comprehensive Asymmetric Catalysis (Springer Verlag****)**

**Comprehensive Organic                            Functional Group                             Transformations (Elsevier)**

- Structure searchable
- Link to similar reactions in other databases

## Bioactivity Databases

## Functionality

- Reaction Query

- Reaction results

- Substances for this reaction

- Data for this substance

- Details for this reaction

- Similar reactions in another database

- Retrosynthetic pathway

## Functionality

**View and manipulate  information**

**Functionality**

- View in: database view, properties view, or grid view

- Export as html files
- Export as SD files
- Export as text files

## Technical Requirements

- Java Runtime Environment 1.4.2_06 or higher
- Internet Explorer 6.0 SP1 for windows 2000 or 6.0 SP2 for Windows XP SP2
- Macintosh Operating System - Mac OS 10.4 or higher – Safari 2.0 (Tiger)

**Technical Requirements**

## Why DiscoveryGate?

- _[http://www.mdl.com/solutions/solutions_for/academics/dg_academics.jsp](http://www.mdl.com/solutions/solutions_for/academics/dg_academics.jsp)_

- View a video:

- Content from over 18 premier databases
- Easy to use web-based application
- Works with a Mac
- No passwords – IP checking
- Unlimited users – site license

**Why DiscoveryGate?**