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Note: This page contains sample records for the topic "als operating schedule" from the National Library of EnergyBeta (NLEBeta).
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they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


1

ALS Operating Schedule on Google Calendar  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered¬ČPNGExperience4AJ01) (See95TI07)Operations DuringALS Doctoral FellowshipALS

2

ALS Operating Schedule on Google Calendar  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered¬ČPNGExperience4AJ01) (See95TI07)Operations DuringALS Doctoral FellowshipALSALS

3

New Operation Schedule  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest Regionat Cornell Batteries &NSTCurrent IssuesHypothesisNew Operation

4

Distributed scheduling for efficient HVAC precooling operations  

E-Print Network [OSTI]

of supply and return fans for HVAC systems under di?erentOp- timal Scheduling of HVAC Pre-cooling Operations withScheduling for E?cient HVAC Pre-cooling Operations ? Yang

Yang, Su

2014-01-01T23:59:59.000Z

5

Chemotherapy Operations Planning and Scheduling  

E-Print Network [OSTI]

Feb 12, 2010 ... ning and scheduling methods for chemotherapy patients with the ... growth, control or prevent the spread of cancer cells, and/or relieve cancer†...

2010-02-13T23:59:59.000Z

6

APS Long Range Operations Schedule  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered¬ČPNGExperience4AJ01) (See95TI07)Operations2AP-XPSAPS Floor Coordinators5) Alternate

7

Oversight Scheduling and Operational Awareness at the Savannah...  

Office of Environmental Management (EM)

Office of Safety and Emergency Management Evaluations Activity Report on Oversight Scheduling and Operational Awareness at the Savannah River Site Dates of Activity : 0325...

8

ALS Operating Schedule on Google Calendar  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation InInformation InExplosion Monitoring:Home|PhysicsGasandArgonne LeadershipBeamlines

9

ALS Operating Schedule on Google Calendar  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert SouthwestTechnologies |November 2011Astudies smartHistory: The First 20 Years

10

Global Optimization for Scheduling Refinery Crude Oil Operations Ramkumar Karuppiaha  

E-Print Network [OSTI]

Global Optimization for Scheduling Refinery Crude Oil Operations Ramkumar Karuppiaha , Kevin C at the front-end of a petroleum refinery. The model relies on a continuous time representation making use-412-268-7139. Email address: grossmann@cmu.edu (I.E. Grossmann) #12;2 Keywords: Refinery scheduling; Nonconvex MINLP

Grossmann, Ignacio E.

11

Robust scheduling in forest operations planning  

E-Print Network [OSTI]

Forest operations planning is a complex decision process which considers multiple objectives on the strategic, tactical and operational horizons. Decisions such as where to harvest and in what order over different time ...

Lim, Lui Cheng

2008-01-01T23:59:59.000Z

12

Daily Scheduling of Nurses in Operating Suites  

E-Print Network [OSTI]

Department of Industrial Engineering ... Quality Engineering and Clinical Operations Informatics ... As the types of services and treatments offered by.

2011-10-07T23:59:59.000Z

13

APS Long-Range Operations Schedule  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered¬ČPNGExperience4AJ01) (See95TI07)Operations2AP-XPSAPS Floor Coordinators5)

14

APS Long-Range Operations Schedule  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered¬ČPNGExperience4AJ01) (See95TI07)Operations2AP-XPSAPS Floor Coordinators5)1-3 Run

15

APS Long-Range Operations Schedule  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered¬ČPNGExperience4AJ01) (See95TI07)Operations2AP-XPSAPS Floor Coordinators5)1-3 Run2-3

16

A PI-based control structure as an operating system scheduler  

E-Print Network [OSTI]

A PI-based control structure as an operating system scheduler Martina Maggio, Federico Terraneo, entirely composed of a PI-based control structure. The proposed scheduler is experimented with in several.e., not control-based) policy optimised for that condition, as long as design assumptions such as schedulability

Como, Giacomo

17

Joint scheduling of jobs and preventive maintenance operations in the flowshop sequencing problem: A resolution with sequential and integrated  

E-Print Network [OSTI]

Joint scheduling of jobs and preventive maintenance operations in the flowshop sequencing problem study on joint production and preventive maintenance scheduling strategies regarding flowshop problems, Preventive maintenance, Joint scheduling, GA, Taboo search, NEH heuristic, Flowshop. 1. Introduction

Boyer, Edmond

18

Design, implementation, and operation of a class based batch queue scheduler for VAX/VMS  

SciTech Connect (OSTI)

Fermilab found that the standard VMS batch configuration options were inadequate for the job mix that exists on the Fermilab central computer facility VAX cluster. Accordingly, Fermilab designed and implemented a class based batch queue scheduler. This scheduler makes use of the standard VMS job controller and batch system. Users interact with the scheduler at job submission time by specification of CPU time limits and batch job characteristics. This scheduler allows Fermilab to make efficient use of our large heterogeneous VAX cluster which contains machines ranging from a VAX 780 to a VAX 8800. The scheduler was implemented using the VMS system services $GETQUI and $SNDJBC, without changes to the existing VMS job scheduler. As a result, the scheduler should remain compatible with future VMS versions. This session will discuss the design goals, implementation, and operational experience with Fermilab's class based batch queue scheduler.

Chadwick, K.

1988-05-20T23:59:59.000Z

19

A LOW POWER SCHEDULING SCHEME WITH RESOURCES OPERATING AT MULTIPLE VOLTAGES  

E-Print Network [OSTI]

A LOW POWER SCHEDULING SCHEME WITH RESOURCES OPERATING AT MULTIPLE VOLTAGES Ali Manzak and Chaitali Tempe, AZ 85287≠5706 istanbul@asu.edu, chaitali@asu.edu ABSTRACT This paper presents a new resource the resources operate at multi≠ ple voltages. The scheduling scheme is list based. In each control cycle

Kambhampati, Subbarao

20

Scheduling co-operating stacking cranes with predetermined ...  

E-Print Network [OSTI]

Nov 7, 2011 ... Crane scheduling in container terminals is known as a difficult optimization problem .... an overview focussing on design and control issues.

2011-11-19T23:59:59.000Z

Note: This page contains sample records for the topic "als operating schedule" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

Schedules  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest RegionatSearchScheduled System Outages NERSC Scheduled System Outages

22

Schedules  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest RegionatSearchScheduled System Outages NERSC Scheduled System

23

Schedules  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administrationcontroller systems controller systemsisSchedules Schedules Print Monday, 31 August

24

SCHEDULING TVA'S RESERVOIRS WITH RIVERWARE Timothy M. Magee, Operations Research Analyst, Center for Advanced Decision Support  

E-Print Network [OSTI]

Ware's capabilities with TVA's daily operations scheduling models which optimize hydropower value while meeting non and operates 29 conventional hydropower plants and one pumped storage hydropower plant in the Tennessee Valley to hydropower generation, the reservoir system provides other beneficial services throughout the Tennessee

25

Schedules  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassiveSubmitted for USMaterialstheterahertzon Home WaterScanningSchedule

26

Annals of Operations Research 59(1995)99-133 99 SOCRATES: A system for scheduling  

E-Print Network [OSTI]

Annals of Operations Research 59(1995)99-133 99 SOCRATES: A system for scheduling hydroelectric (PG&E) is one of the largest producers of hydroelectricity among American investor-owned utilities. PG of the hydroelectricity used in Northern California. A number of other entities also own hydroelectric facilities

Morton, David

27

APS Long-Range Operations Schedule (Fiscal Year 2014)  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered¬ČPNGExperience4AJ01) (See95TI07)Operations2AP-XPSAPS Floor Coordinators5)1-3

28

A Mixed-Integer Linear Programming Model for Optimizing the Scheduling and Assignment of Tank Farm Operations  

E-Print Network [OSTI]

1 A Mixed-Integer Linear Programming Model for Optimizing the Scheduling and Assignment of Tank) formulation for the Tank Farm Operation Problem (TFOP), which involves simultaneous scheduling of continuous multi-product processing lines and the assignment of dedicated storage tanks to finished products

Grossmann, Ignacio E.

29

T. Pun et al The Potato Operation 1 The Potato Operation  

E-Print Network [OSTI]

T. Pun et al The Potato Operation 1 The Potato Operation: Computer vision for agricultural robotics, Switzerland ABSTRACT Each year at harvest time millions of seed potatoes are checked for the presence of viruses, by means of an Elisa test. The Potato Operation aims at automatizing the potato manipulation

Genève, Université de

30

Developing Operator Models for UAV Search Scheduling L. F. Bertuccelli, N. W. M. Beckers, and M. L. Cummings  

E-Print Network [OSTI]

Developing Operator Models for UAV Search Scheduling L. F. Bertuccelli, N. W. M. Beckers, and M. L. Cummings With the increased use of Unmanned Aerial Vehicles (UAVs), it is envisioned that UAV opera- tors. In the context of search missions, operators supervising a large number of UAVs can be- come overwhelmed

Cummings, Mary "Missy"

31

Planning and scheduling of concurrent high-level activities for UUV mission operations  

E-Print Network [OSTI]

This thesis develops a mission planning and scheduling algorithm that enables a single Unmanned Undersea Vehicle (UUV) to concurrently perform high level activities, while managing various resources in a dynamic ocean ...

Chang, Larry, S. M. Massachusetts Institute of Technology

2007-01-01T23:59:59.000Z

32

E-Print Network 3.0 - al jubail--an aeromedical Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

connection opportunities and minimise costs (Rexing et al., 2000). The scheduling of maintenance operations... utilisation when tackling fleet assignment and aircraft routing...

33

Operator Objective Function Guidance for a Real-time Unmanned Vehicle Scheduling Algorithm  

E-Print Network [OSTI]

Advances in autonomy have made it possible to invert the typical operator-to-unmanned-vehicle ratio so that asingle operator can now control multiple heterogeneous unmanned vehicles. Algorithms used in unmanned-vehicle ...

Clare, A.S.

34

Load Schedule Coordination for a Large Linear Accelerator: An Operation Powerplay Concept  

E-Print Network [OSTI]

Operation Powerplay is a viable electric load management program developed and tested with Department of Energy funding and support. It is a concept designed to provide financial benefits to a utility and one or more of its customers through...

Johnson, W. H.

1984-01-01T23:59:59.000Z

35

Airline schedule planning and operations : optimization-based approaches for delay mitigation  

E-Print Network [OSTI]

We study strategic and operational measures of improving airline system performance and reducing delays for aircraft, crew and passengers. As a strategic approach, we study robust optimization models, which capture possible ...

Marla, Lavanya

2010-01-01T23:59:59.000Z

36

Optimization-based routing and scheduling of IED-detection assets in contemporary military operations  

E-Print Network [OSTI]

Improvised Explosive Devices, or IEDs, have become a familiar and lethal part of contemporary military operations in Iraq and Afghanistan, producing more casualties than any other weapons system. One reason for their success ...

Marks, Christopher E. (Christopher Edward)

2009-01-01T23:59:59.000Z

37

Symmetry in Scheduling Problems  

E-Print Network [OSTI]

Nov 16, 2010 ... Using operating room and power generator scheduling problems ... Symmetry has been an obstacle in mixed integer linear programming†...

2010-11-16T23:59:59.000Z

38

APS Long-Range Operations Schedule (Fiscal Year 2015) | Advanced Photon  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation InInformation InExplosion Monitoring:Home|PhysicsGasandArgonneALS inRelated Reports

39

536 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS--II: ANALOG AND DIGITAL SIGNAL PROCESSING, VOL. 47, NO. 6, JUNE 2000 Low-Power Scheduling with Resources Operating  

E-Print Network [OSTI]

at the logic synthesis or circuit levels. Algorithmic level transformations have been used to optimize power, NO. 6, JUNE 2000 Low-Power Scheduling with Resources Operating at Multiple Voltages Wen-Tsong Shiue, and processing technology [1]. The work presented in this paper focuses on behavioral level power optimization

Kambhampati, Subbarao

40

LCLS Operating Schedule  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

sidebands L015 AMO Nora Berrah X-Ray non-linear physics studies of molecules with intense ultrafast LCLS pulses L026 AMO Louis DiMauro Strong-field multiphoton processes in the...

Note: This page contains sample records for the topic "als operating schedule" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

LCLS Operating Schedule  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces and Interfaces Sample Environment: Magnet and6 th7525T HE F IRSTA3LCLSLCLS

42

Long Range Operations Schedule  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces and Interfaces Sample6,Local Correlations andLocalThroughout theLong Range7

43

Long Range Operations Schedule  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces and Interfaces Sample6,Local Correlations andLocalThroughout theLong Range78

44

The Schedule  

Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

The schedule is one of the building blocks for project development. A schedule helps determine the duration of the project, the critical activities, and when funds are required. This chapter will briefly discuss some scheduling basics.

1997-03-28T23:59:59.000Z

45

AL  

E-Print Network [OSTI]

AL. EMERGENCY PREPAREDNESS SYLLABUS ATTACHMENT. EMERGENCY NOTIFICATION PROCEDURES are based on a simple concept - if you hear a.

46

Move Frame Scheduling and Mixed SchedulingAllocation for the Automated Synthesis of Digital Systems y  

E-Print Network [OSTI]

steps: 1) Data path synthe­ sis (operation scheduling and hardware allocation), and 2) Control path design. In the scheduling phase, operations are assigned to the appropriate control steps. The allocaMove Frame Scheduling and Mixed Scheduling­Allocation for the Automated Synthesis of Digital

Nourani, Mehrdad

47

Start | Grid View | Browse by Day OR Group/Topical | Author Index | Keyword Index | Personal Scheduler Optimal Operation of a CO2 Capturing Plant for a Wide Range of Disturbances  

E-Print Network [OSTI]

flowrate coming from the power plant) change over the expected operating window. Dynamic simulation. The stripping column uses a large fraction, about 15-30% of the net power generated in the power plant. Optimal Scheduler Optimal Operation of a CO2 Capturing Plant for a Wide Range of Disturbances Tuesday, October 18

Skogestad, Sigurd

48

Scheduling on the MasPar SIMD parallel computer  

E-Print Network [OSTI]

This thesis studies the feasibility of a task scheduler for a parallel operating system. After analyzing several task scheduling algorithms, the highest level first algorithm was chosen. This algorithm has been empirically found to build schedules...

Perkins, Keith Douglas

1995-01-01T23:59:59.000Z

49

Enhancing feedback process scheduling via a predictive control approach  

E-Print Network [OSTI]

Enhancing feedback process scheduling via a predictive control approach Alessandro Vittorio the application possibilities at an affordable additional cost. Keywords: feedback scheduling; control that preemptive process schedulers in multitasking operating systems can be viewed, and above all designed

Como, Giacomo

50

On-line Service Scheduling?  

E-Print Network [OSTI]

ßWarwick Business School, University of Warwick, Coventry, CV4 7AL, United ... corresponding service policy in order to use the limited service resource efficiently. ... manner, customer requirements, service efficiency, and system workload, etc. ...... of Scheduling: Algorithms, Models, and Performance Analysis (

2008-04-18T23:59:59.000Z

51

Rate Schedules  

Broader source: Energy.gov [DOE]

One of the major responsibilities of Southeastern is to design, formulate, and justify rate schedules. Repayment studies prepared by the agency determine revenue requirements and appropriate rate...

52

ADMINISTRATIVE RECORDS SCHEDULE 23: ADMINISTRATIVE RECORDS SCHEDULE...  

Broader source: Energy.gov (indexed) [DOE]

ADMINISTRATIVE RECORDS SCHEDULE 23: RECORDS COMMON TO MOST OFFICES ADMINISTRATIVE RECORDS SCHEDULE 23: ADMINISTRATIVE RECORDS SCHEDULE 23: RECORDS COMMON TO MOST OFFICES This...

53

An AlGaAsGaAs quantum cascade laser operating with a thermoelectric cooler for spectroscopy of NH3  

E-Print Network [OSTI]

out using a compact thermo-electrically cooled laser package. The QCL described here is designedAn AlGaAs­GaAs quantum cascade laser operating with a thermoelectric cooler for spectroscopy of NH3. Langford b a Department of Electronics and Electrical Engineering, Rankine Building, University of Glasgow

54

Terrorism's Operational Code: An Examination of the Belief Systems of al-Qaeda and Hamas  

E-Print Network [OSTI]

profile of those engaging in terrorism. Both al?Qaeda and Hamas are sub?state entities that employ violence against non?combatants for the stated purpose of achieving political change. Terrorist Motivation Research into the motivational issues behind...

Picucci, Peter M.

2008-06-18T23:59:59.000Z

55

Single machine stochastic appointment sequencing and scheduling  

E-Print Network [OSTI]

include scheduling of surgeries in an operating room (Denton, 2007, Denton and ... time duration of the jobs are random variables with known joint distribution.

Administrator

2010-10-22T23:59:59.000Z

56

On Dynamic Scheduling of a Parallel Server System with Partial Pooling  

E-Print Network [OSTI]

proposed and refined by Harrison et al., we approximate the scheduling control problem for this parallel Scheduling of Parallel Servers. Keywords and phrases: Stochastic networks, dynamic control, resource pooling.3 Scheduling Control . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 3 Sequence

57

Operational test report for LERF Basin 242AL-44 integrity test  

SciTech Connect (OSTI)

This operational test report documents the results of LERF operational testing per operational test procedure (OTP) TFPE-WP-0231, ``LERF Basin Integrity Testing.`` The primary purpose of the OTP was to resolve test exceptions generated as a result of TFPE-WP-0184. The TOP was prepared and performed in accordance with WHC-SD-534-OTP-002, ``Operational Test Plan for the 242-A Evaporator Upgrades and the Liquid Effluent Retention Facility.`` WHC-S-086, ``Specification for Operational Testing of the Liquid Effluent Retention Facility, Basin Integrity Testing,`` identified the test requirements and acceptance criteria. The completed, signed-off test procedure is contained in Appendix A. The test log is contained in Appendix B. Section 2.1 describes all the test exceptions written during performance of the Operational Test Procedure. The test revisions generated during the testing are discussed in Section 2.2. The dispositioned test exception forms are contained in Appendix C.

Galioto, T.M.

1994-11-08T23:59:59.000Z

58

APS Long Range Operations Schedule  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert SouthwestTechnologies |November 2011Astudies ColoradoTechnical1 NationalC5LOM Shop1)

59

APS Long Range Operations Schedule  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert SouthwestTechnologies |November 2011Astudies ColoradoTechnical1 NationalC5LOM Shop1)2)

60

APS Long Range Operations Schedule  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert SouthwestTechnologies |November 2011Astudies ColoradoTechnical1 NationalC5LOM

Note: This page contains sample records for the topic "als operating schedule" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

Operations Research Analyst  

Broader source: Energy.gov [DOE]

The incumbent in this position will serve as an Operations Research Analyst in the Generation Scheduling (PGS). The Operations Research Analyst is responsible for analytical work that involves...

62

Monitoring Building Systems for Schedule Compliance  

SciTech Connect (OSTI)

As Pacific Northwest National Laboratory (PNNL) initiated a Core Business Hours program, it became a challenge to ensure that the hundreds of systems campus wide were operating within their programmed schedules. Therefore, a collaborative exchange between PNNL operations and PNNL researchers developing the Decision Support for Operations and Maintenance (DSOM) software package was initiated to create a tool to solve this problem. This new DSOM tool verifies systems are operating within scheduled operation times by polling Building Automation and Control Network (BACnet) identifiers of systemsí on/off or command statuses. The tool records the time spent in operation state (ON) and totalizes each system over a rolling 7-day period, highlighting systems that are running over the scheduled hours. This snapshot view allows building management to look quickly at the entire campus to ensure that systems are not operating beyond their scheduled hours.

Jensen, Andrew M.; Belew, Shan T.

2013-02-19T23:59:59.000Z

63

Instruction scheduling optimizations for energy efficient VLIW processors†  

E-Print Network [OSTI]

Very Long Instruction Word (VLIW) processors are wide-issue statically scheduled processors. Instruction scheduling for these processors is performed by the compiler and is therefore a critical factor for its operation. ...

Porpodas, Vasileios

2013-11-28T23:59:59.000Z

64

Gain Scheduled Control Using the Dual Youla Parameterization  

E-Print Network [OSTI]

Stability is a critical issue in gain-scheduled control problems in that the closed loop system may not be stable during the transitions between operating conditions despite guarantees that the gain-scheduled controller stabilizes the plant model...

Chang, Young Joon

2011-08-08T23:59:59.000Z

65

Implementing Lottery Scheduling: Matching the Specializations in Traditional Schedulers  

E-Print Network [OSTI]

present in traditional non- real time process schedulers. Lottery scheduling enables flexible control over this while maintaining lottery scheduling's flexible control over relative execution rates and loadImplementing Lottery Scheduling: Matching the Specializations in Traditional Schedulers David

66

Scheduling and allocation algorithm for an elliptic filter  

E-Print Network [OSTI]

A new evolutionary algorithm for scheduling and allocation algorithm is developed for an elliptic filter. The elliptic filter is scheduled and allocated in the proposed work which is then compared with the different scheduling algorithms like As Soon As Possible algorithm, As Late As Possible algorithm, Mobility Based Shift algorithm, FDLS, FDS and MOGS. In this paper execution time and resource utilization is calculated using different scheduling algorithm for an Elliptic Filter and reported that proposed Scheduling and Allocation increases the speed of operation by reducing the control step. The proposed work to analyse the magnitude, phase and noise responses for different scheduling algorithm in an elliptic filter.

Marikkannan, Sangeetha

2012-01-01T23:59:59.000Z

67

Symbolic Scheduling Techniques 1 Ivan Radivojevi c, Forrest Brewer  

E-Print Network [OSTI]

- constrained scheduling which allows speculative operation execution in arbitrary forward-branching control subject to data/control-flow dependencies and resource constraints. Priority- based heuristic scheduling on detection of mutual exclusiveness in control/data-flow graphs (CDFGs). Tree scheduling (TS) [8] uses a tree

Brewer, Forrest D.

68

March 29, 2008 OS:CPU Scheduling 1 CPU Scheduling  

E-Print Network [OSTI]

control of the CPU to the process selected by the short-term scheduler. Its function involves: SwitchingMarch 29, 2008 OS:CPU Scheduling 1 CPU Scheduling #12;March 29, 2008 OS:CPU Scheduling 2 Objectives Basic Concepts + Scheduling Criteria + Scheduling Algorithms + Scheduling Algorithm Evaluation + Summary

Adam, Salah

69

Flow Shop Scheduling with Peak Power Consumption Constraints  

E-Print Network [OSTI]

To conduct our experiments, we considered a hypothetical flow shop scheduling ... There are two types of machines with different operations: face milling. 16†...

2012-09-23T23:59:59.000Z

70

RealTime Scheduling of SensorBased Control Systems David B. Stewart and Pradeep K. Khosla  

E-Print Network [OSTI]

scheduler has been implemented as the default scheduler of CHIMERA II, a real­time operating system being­deadline­first, minimum­laxity­first, CHIMERA II Real­Time Operating System. 1 Introduction Many sensor­based control. Section 4 describes our implementation of the MUF scheduler as the default scheduler of the CHIMERA II

71

Dedicated heterogeneous node scheduling including backfill scheduling  

DOE Patents [OSTI]

A method and system for job backfill scheduling dedicated heterogeneous nodes in a multi-node computing environment. Heterogeneous nodes are grouped into homogeneous node sub-pools. For each sub-pool, a free node schedule (FNS) is created so that the number of to chart the free nodes over time. For each prioritized job, using the FNS of sub-pools having nodes useable by a particular job, to determine the earliest time range (ETR) capable of running the job. Once determined for a particular job, scheduling the job to run in that ETR. If the ETR determined for a lower priority job (LPJ) has a start time earlier than a higher priority job (HPJ), then the LPJ is scheduled in that ETR if it would not disturb the anticipated start times of any HPJ previously scheduled for a future time. Thus, efficient utilization and throughput of such computing environments may be increased by utilizing resources otherwise remaining idle.

Wood, Robert R. (Livermore, CA); Eckert, Philip D. (Livermore, CA); Hommes, Gregg (Pleasanton, CA)

2006-07-25T23:59:59.000Z

72

Reviewing your schedule in Banner  

E-Print Network [OSTI]

To travel to a specific topic, please click its corresponding page number. Reviewing Your Schedule................................................... 2. Accessing Schedules from the†...

skorty

2008-07-28T23:59:59.000Z

73

Milliwatt operation of AlGaN-based single-quantum-well light emitting diode in the ultraviolet region  

SciTech Connect (OSTI)

By introducing a single-quantum-well active layer and a high-Al-content carrier blocking layer, the output power of an AlGaN-based ultraviolet light-emitting diode has been improved by one order of magnitude. Optical output of 1 mW was achieved at the emission peak wavelength of 341{endash}343 nm. {copyright} 2001 American Institute of Physics.

Nishida, Toshio; Saito, Hisao; Kobayashi, Naoki

2001-06-18T23:59:59.000Z

74

Optimizing Throughput and Energy in Online Deadline Scheduling  

E-Print Network [OSTI]

of all jobs. An optimal schedule is expected to maximize the throughput, and furthermore, its energy a scheduling algorithm, one has to face the dilemma of selecting more jobs and being conservative in energy jobs; O(1)-competitive online algorithms with respect to energy usage have been known [Yao et al. 1995

Wong, Prudence W.H.

75

Feasibility Analysis of Aircraft Landing Scheduling for Non-Controlled Airports  

E-Print Network [OSTI]

Feasibility Analysis of Aircraft Landing Scheduling for Non-Controlled Airports AIAA-2004 airports Air traffic control automation system development Trajectory analysis Aircraft landing scheduling aircraft scheduling will become the key operational issue at non-controlled airports as the operation

Valasek, John

76

ADMINISTRATIVE RECORDS SCHEDULE 6: ACCOUNTABLE OFFICERS' ACCOUNTS...  

Office of Environmental Management (EM)

ADMINISTRATIVE RECORDS SCHEDULE 6: ACCOUNTABLE OFFICERS' ACCOUNTS RECORDS ADMINISTRATIVE RECORDS SCHEDULE 6: ACCOUNTABLE OFFICERS' ACCOUNTS RECORDS This schedule covers accountable...

77

2012 Transmission Rate Schedules  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Practice. Ancillary Services include: a. Scheduling, System Control, and Dispatch b. Reactive Supply and Voltage Control from Generation Sources c. Regulation and Frequency...

78

Graduate Students Seminar Bloomfield 527 14:30 15:30 The Due-Date Assignment Problem in Scheduling  

E-Print Network [OSTI]

Scheduling is a crucial aspect of operations control, be it in manufacturing or in service. The need in Scheduling: A Robust Optimization Approach Chen Bukay Supervisors: Hussein Naseraldin, Liron Yedidsion service levels necessitate efficient scheduling. There are various types of scheduling problems

Levit, Anna

79

TOWARDS REAL-TIME GENERATION SCHEDULING IN MICROGRIDS WITH  

E-Print Network [OSTI]

TOWARDS REAL-TIME GENERATION SCHEDULING IN MICROGRIDS WITH PERFORMANCE GUARANTEE LIAN LU, JINLONG TU, CHI-KIN CHAU, MINGHUA CHEN, ZHAO XU AND XIAOJUN LIN INTRODUCTION Microgrid is an emerging- generation improves generation efficiency by 2-3x. A key problem in microgrid operations is how to schedule

Zhang, Junshan

80

Implementing Lottery Scheduling: Matching the Specializations Traditional Schedulers  

E-Print Network [OSTI]

in traditional non­ real time process schedulers. Lottery scheduling enables flexible control over relative. We achieve this while maintaining lottery scheduling's flexible control over relative execution rates a recently troduced proportional­share scheduler that enables flexible control over relative rates which CPU

Note: This page contains sample records for the topic "als operating schedule" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

Optimization of Logic Programs with Dynamic Scheduling  

E-Print Network [OSTI]

of program transformations designed to reduce this additional over­ head, while preserving the operational using high­level program transformation was already illustrated in [?]. However, optimizationOptimization of Logic Programs with Dynamic Scheduling Germ'an Puebla Facultad de Inform

Stuckey, Peter J.

82

SEMINAR SCHEDULE Friday, January 24, 2014  

E-Print Network [OSTI]

SEMINAR SCHEDULE Friday, January 24, 2014 Health Care Policy & Implementation in an Age of Reform, 2014 Accountable Care Organizations Friday, May 2, 2014 The Role of Health Informatics in Reforming system operates Consider how future health care reform in Vermont and the U.S. might affect your

Hayden, Nancy J.

83

Upcoming Long-Term Operating Schedule  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched Ferromagnetism inS-4500II Field Emission SEM with EDAX (For3 MeetingLive

84

Upcoming Long-Term Operating Schedule  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched Ferromagnetism inS-4500II Field Emission SEM with EDAX (For3 MeetingLiveUpcoming

85

Temperature-Aware Operating System Scheduling  

E-Print Network [OSTI]

at temperatures almost high enough to cause themselves irreparable damage. Of the various cooling techniques THROTTLING Processor cooling techniques are grouped into the two general categories: active and passive. Active cooling techniques, such as fans, use power and generally cause noise. Passive cooling techniques

Skadron, Kevin

86

Daily Flight Planning and Operations Schedule  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation Proposed Newcatalyst phases onOrganizationElectronic2005-2007 BudgetFlight Planning and

87

Current Long-Term Operating Schedule  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: Crude OilPublic Safety and100 PST Ceiling600600100400

88

Current Long-Term Operating Schedule  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: Crude OilPublic Safety and100 PST

89

Upcoming Long-Term Operating Schedule  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered energy consumption by sectorlong version)UndergroundPastCenter forUpcoming

90

Upcoming Long-Term Operating Schedule  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered energy consumption by sectorlong version)UndergroundPastCenter forUpcomingUpcoming

91

Upcoming Long-Term Operating Schedule  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered energy consumption by sectorlong version)UndergroundPastCenter

92

Upcoming Long-Term Operating Schedule  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered energy consumption by sectorlong version)UndergroundPastCenterUpcoming Long-Term

93

APS Long Range Operations Schedule FY2007  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert SouthwestTechnologies |November 2011Astudies ColoradoTechnical1 NationalC5LOMFY2007

94

APS Long Range Operations Schedule FY2008  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert SouthwestTechnologies |November 2011Astudies ColoradoTechnical1

95

APS Long Range Operations Schedule FY2009  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert SouthwestTechnologies |November 2011Astudies ColoradoTechnical109) Alternate Formats:

96

APS Long Range Operations Schedule FY2010  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert SouthwestTechnologies |November 2011Astudies ColoradoTechnical109) Alternate Formats:0)

97

APS Long Range Operations Schedule FY2014  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert SouthwestTechnologies |November 2011Astudies ColoradoTechnical109) Alternate

98

Current Long-Term Operating Schedule  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation InInformationCenterResearchCASLNanoporousTestimonyContact UsHanford Meteorological

99

Current Long-Term Operating Schedule  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation Proposed Newcatalyst phases onOrganization FY 2012 FY 2013 FY 2014| Princeton

100

ILPBased Scheduling with Time and Resource Constraints in High Level Synthesis \\Lambda  

E-Print Network [OSTI]

The scheduling problem in high­level synthesis is con­ cerned with sequencing the operators of a control­ constrained scheduling (RCS) minimizes the number of control steps when the number of FU's are fixed; (2) time­constrained scheduling (TCS) minimizes the number of resources when the number of control steps is fixed. We can also

Walker, Robert A.

Note: This page contains sample records for the topic "als operating schedule" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

A vital component of modern manufacturing systems is the scheduling and control system, which determines com-  

E-Print Network [OSTI]

264 Abstract A vital component of modern manufacturing systems is the scheduling and control system" to the unexpected system changes. Keywords: Scheduling and Control, Simulation Methods and Models Introduction iterative simulation-based scheduling mechanisms for manufacturing systems that operate in dynamic

Kutanoglu, Erhan

102

Opportunistic Spectrum Scheduling for Mobile Cognitive Radio Networks in White Space  

E-Print Network [OSTI]

Opportunistic Spectrum Scheduling for Mobile Cognitive Radio Networks in White Space Li Zhang, Kai of secondary users, carefully scheduling the spectrum allocation in cognitive radio networks operating on white in an opportunistic manner, this paper studies how to schedule the spectrum assignment for mobile cognitive radio

California at Davis, University of

103

Scheduling Smart Home Appliances Using Mixed Integer Linear Programming  

E-Print Network [OSTI]

electricity generation, personal electrical vehicles (PEVs) and distributed electricity generation the wind power's dynamic contribution to electricity generation and the PEVs' random demand of electricity electricity cost scheduling problem of smart home appliances. Operation char- acteristics, such as expected

Johansson, Karl Henrik

104

A new Scanning Transmission X-ray Microscope at the ALS for operation up to 2500eV  

SciTech Connect (OSTI)

We report on the design and construction of a higher energy Scanning Transmission X-ray Microscope on a new bend magnet beam line at the Advanced Light Source. Previously we have operated such an instrument on a bend magnet for C, N and O 1s NEXAFS spectroscopy. The new instrument will have similar performance at higher energies up to and including the S 1s edge at 2472eV. A new microscope configuration is planned. A more open geometry will allow a fluorescence detector to count emitted photons from the front surface of the sample. There will be a capability for zone plate scanning in addition to the more conventional sample scanning mode. This will add the capability for imaging a massive sample at high resolution over a limited field of view, so that heavy reaction cells may be used to study processes in-situ, exploiting the longer photon attenuation length and the longer zone plate working distances available at higher photon energy. The energy range will extend down to include the C1s edge at 300eV, to allow high energy NEXAFS microscopic studies to correlate with the imaging of organics in the same sample region of interest.

Kilcoyne, David; Ade, Harald; Attwood, David; Hitchcock, Adam; McKean, Pat; Mitchell, Gary; Monteiro, Paulo; Tyliszczak, Tolek; Warwick, Tony

2010-01-31T23:59:59.000Z

105

A new Scanning Transmission X-ray Microscope at the ALS for operation up to 2500eV  

SciTech Connect (OSTI)

We report on the design and construction of a higher energy Scanning Transmission X-ray Microscope on a new bend magnet beam line at the Advanced Light Source. Previously we have operated such an instrument on a bend magnet for C, N and O 1s NEXAFS spectroscopy. The new instrument will have similar performance at higher energies up to and including the S 1s edge at 2472eV. A new microscope configuration is planned. A more open geometry will allow a fluorescence detector to count emitted photons from the front surface of the sample. There will be a capability for zone plate scanning in addition to the more conventional sample scanning mode. This will add the capability for imaging a massive sample at high resolution over a limited field of view, so that heavy reaction cells may be used to study processes in-situ, exploiting the longer photon attenuation length and the longer zone plate working distances available at higher photon energy. The energy range will extend down to include the C1s edge at 300eV, to allow high energy NEXAFS microscopic studies to correlate with the imaging of organics in the same sample region of interest.

Kilcoyne, David; McKean, Pat; Tyliszczak, Tolek; Warwick, Tony [Advanced Light Source, Lawrence Berkeley Laboratory, Berkeley, California (United States); Ade, Harald [Department of Physics, North Carolina State University, Raleigh, North Carolina (United States); Attwood, David [Center for Xray Optics, Lawrence Berkeley Laboratory, Berkeley, California (United States); Hitchcock, Adam [Brockhouse Institute for Materials Research, McMaster University, Hamilton, Ontario (Canada); Mitchell, Gary [DOW Chemical Company, Midland, Michigan (United States); Monteiro, Paulo [Dept. Civil and Environmental Engineering, University of California, Berkeley, California (United States)

2010-06-23T23:59:59.000Z

106

Plant Operations Executive Director  

E-Print Network [OSTI]

Campus North Campus Recycling Operations Materials Human Resources Payroll Misc Svs Special Projects Planning Spray Shop Glass Shop Upholstery Shop Plant IT Painting Services G. Weincouff Human Resources Business Services Estimating Shutdown Coordination Scheduling L. Rastique Human Resources 67398 M

Awtar, Shorya

107

Pushing schedule derivation method  

SciTech Connect (OSTI)

The development of a Pushing Schedule Derivation Method has allowed the company to sustain the maximum production rate at CSH`s Coke Oven Battery, in spite of having single set oven machinery with a high failure index as well as a heat top tendency. The stated method provides for scheduled downtime of up to two hours for machinery maintenance purposes, periods of empty ovens for decarbonization and production loss recovery capability, while observing lower limits and uniformity of coking time.

Henriquez, B. [Compania Siderurgica Huachipato S.A., Talcahuano (Chile)

1996-12-31T23:59:59.000Z

108

Schedule optimization study implementation plan  

SciTech Connect (OSTI)

This Implementation Plan is intended to provide a basis for improvements in the conduct of the Environmental Restoration (ER) Program at Hanford. The Plan is based on the findings of the Schedule Optimization Study (SOS) team which was convened for two weeks in September 1992 at the request of the U.S. Department of Energy (DOE) Richland Operations Office (RL). The need for the study arose out of a schedule dispute regarding the submission of the 1100-EM-1 Operable Unit (OU) Remedial Investigation/Feasibility Study (RI/FS) Work Plan. The SOS team was comprised of independent professionals from other federal agencies and the private sector experienced in environmental restoration within the federal system. The objective of the team was to examine reasons for the lengthy RI/FS process and recommend ways to expedite it. The SOS team issued their Final Report in December 1992. The report found the most serious impediments to cleanup relate to a series of management and policy issues which are within the control of the three parties managing and monitoring Hanford -- the DOE, U.S. Environmental Protection Agency (EPA), and the State of Washington Department of Ecology (Ecology). The SOS Report identified the following eight cross-cutting issues as the root of major impediments to the Hanford Site cleanup. Each of these eight issues is quoted from the SOS Report followed by a brief, general description of the proposed approach being developed.

Not Available

1993-11-01T23:59:59.000Z

109

Operational Waste Volume Projection  

SciTech Connect (OSTI)

Waste receipts to the double-shell tank system are analyzed and wastes through the year 2015 are projected based on generation trends of the past 12 months. A computer simulation of site operations is performed, which results in projections of tank fill schedules, tank transfers, evaporator operations, tank retrieval, and aging waste tank usage. This projection incorporates current budget planning and the clean-up schedule of the Tri-Party Agreement. Assumptions were current as of June. 2000.

STRODE, J.N.

2000-08-28T23:59:59.000Z

110

Operational waste volume projection  

SciTech Connect (OSTI)

Waste receipts to the double-shell tank system are analyzed and wastes through the year 2015 are projected based on generation trends of the past 12 months. A computer simulation of site operations is performed, which results in projections of tank fill schedules, tank transfers, evaporator operations, tank retrieval, and aging waste tank usage. This projection incorporates current budget planning and the clean-up schedule of the Tri-Party Agreement. Assumptions were current as of June 1996.

Koreski, G.M.

1996-09-20T23:59:59.000Z

111

ALS Spectrum  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered¬ČPNGExperience4AJ01) (See95TI07)Operations DuringALS DoctoralALSSpectroscopyALS

112

Scheduled System Outages  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest RegionatSearchScheduled System Outages NERSC Scheduled System Outages NERSC

113

Project Scheduling (3) Corequisite  

E-Print Network [OSTI]

) CMGT 111 Construction Materials & Methods Lab (1) CMGT 460 Project Cost Controls (3) FA SP CMGT 320 FASYMBOLS CMGT 417 Project Scheduling (3) Corequisite Offered FALL Only CMGT 240 Intro) CMGT 475 Construction Project Management (3) MATH 108 College Algebra (4) Construction Elective

Barrash, Warren

114

Project Scheduling (3) Corequisite  

E-Print Network [OSTI]

460 Project Cost Controls (3) FA SP FA CE 210/211 Surveying & Lab (3) CMGT 410 Concrete FormworkSYMBOLS CMGT 417 Project Scheduling (3) Corequisite Offered FALL Only CMGT 240 Intro Construction Project Management (3) MATH 108 College Algebra (4) MGMT 301 Leadership Skills (3) ENGL 101

Barrash, Warren

115

TOWARDS UNIFYING DATABASE SCHEDULING AND  

E-Print Network [OSTI]

1 TOWARDS UNIFYING DATABASE SCHEDULING AND CONCURRENCY CONTROL: A FRONTIER APPROACH Gregory Jones previous work in real-time database concurrency control indexconcur- rency control and scheduling has focused on combiningvariations of traditional concurrency control techniques with real-time scheduling

Rhode Island, University of

116

Optimal Power Schedule for Distributed MIMO Links  

E-Print Network [OSTI]

an integration of link scheduling and power control for MIMOmedium access control, space-time power scheduling. Fig. 1.

Rong, Yue; Hua, Yingbo

2008-01-01T23:59:59.000Z

117

Abstract: Many sensorbased control systems are dynami cally changing, and thus require a flexible scheduler. The  

E-Print Network [OSTI]

scheduler has been implemented as the default sched­ uler of CHIMERA II, a real­time operating system being as the default scheduler of the CHIMERA II Real Time Operating System[8]. It is being used to control several

118

The Airline Operation Control Centre : an overview of Garuda's Operation Control (EM) at Cengkereng Jakarta, Indonesia : final report to PT Garuda Indonesia  

E-Print Network [OSTI]

Introduction: Airline operations are generally handled in two phases, strategic and tactical. Strategic operations are concerned with schedule planning. Given the desired schedule of services to be offered to passengers ...

Clarke, Michael D. D.

1995-01-01T23:59:59.000Z

119

An algorithm for scheduling a large pumped storage plant  

SciTech Connect (OSTI)

The Michigan Electric Coordination Center (MEPCC), operated by Consumers Power and Detroit Edison Companies, has the responsibility for scheduling the Ludington pumped storage plant. Ludington has an extremely large economic effect on the Consumers Power and Detroit Edison Companies' system due to its size (over 1800 MW net demonstrated generating capability). This paper presents a dynamic programming algorithm for scheduling large pumped storage plants and shows how this method can be coordinated with the commitment of the thermal units of the system.

Cohen, A.I.; Wan, S.H.

1985-08-01T23:59:59.000Z

120

PRICING ASSET SCHEDULING FLEXIBILITY USING OPTIMAL SWITCHING RENE CARMONA AND MICHAEL LUDKOVSKI  

E-Print Network [OSTI]

PRICING ASSET SCHEDULING FLEXIBILITY USING OPTIMAL SWITCHING REN¬īE CARMONA AND MICHAEL LUDKOVSKI Abstract. We study the financial engineering aspects of operational flexibility of energy assets methods. 1. Introduction. Pricing of operational flexibility is one of the fundamental problems

Ludkovski, Mike

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While these samples are representative of the content of NLEBeta,
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We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

Advance Resource Provisioning in Bulk Data Scheduling  

SciTech Connect (OSTI)

Today?s scientific and business applications generate mas- sive data sets that need to be transferred to remote sites for sharing, processing, and long term storage. Because of increasing data volumes and enhancement in current net- work technology that provide on-demand high-speed data access between collaborating institutions, data handling and scheduling problems have reached a new scale. In this paper, we present a new data scheduling model with ad- vance resource provisioning, in which data movement operations are defined with earliest start and latest comple- tion times. We analyze time-dependent resource assign- ment problem, and propose a new methodology to improve the current systems by allowing researchers and higher-level meta-schedulers to use data-placement as-a-service, so they can plan ahead and submit transfer requests in advance. In general, scheduling with time and resource conflicts is NP-hard. We introduce an efficient algorithm to organize multiple requests on the fly, while satisfying users? time and resource constraints. We successfully tested our algorithm in a simple benchmark simulator that we have developed, and demonstrated its performance with initial test results.

Balman, Mehmet

2012-10-01T23:59:59.000Z

122

Abstract --This paper describes a practical technique for the opti-mal scheduling of control dominated systems minimizing the weighted  

E-Print Network [OSTI]

Abstract -- This paper describes a practical technique for the opti- mal scheduling of control is cru- cial for control dependent scheduling to accommodate practical archi- tectural goals. In contrast ­ to the exclusion of all other costs. A scheduler minimizing every control path separately may miss operation

California at Santa Barbara, University of

123

STANDARD OPERATING PROCEDURES Sampler Maintenance by Site Operators  

E-Print Network [OSTI]

IMPROVE STANDARD OPERATING PROCEDURES SOP 201 Sampler Maintenance by Site Operators Date Last.0 PURPOSE AND APPLICABILITY This standard operating procedure (SOP) describes the procedures and schedules. The procedural steps for weekly maintenance and repairs performed by the site operator are included in TI 201A

Fischer, Emily V.

124

Transportation Baseline Schedule  

SciTech Connect (OSTI)

The ď1999 National Transportation Program - Transportation Baseline ReportĒ presents data that form a baseline to enable analysis and planning for future Department of Energy (DOE) Environmental Management (EM) waste/material transportation. The companion ď1999 Transportation ĎBarriersí AnalysisĒ analyzes the data and identifies existing and potential problems that may prevent or delay transportation activities based on the data presented. The ď1999 Transportation Baseline ScheduleĒ (this report) uses the same data to provide an overview of the transportation activities of DOE EM waste/materials. This report can be used to identify areas where stakeholder interface is needed, and to communicate to stakeholders the quantity/schedule of shipments going through their area. Potential bottlenecks in the transportation system can be identified; the number of packages needed, and the capacity needed at receiving facilities can be planned. This report offers a visualization of baseline DOE EM transportation activities for the 11 major sites and the ďGeologic Repository DisposalĒ site (GRD).

Fawcett, Ricky Lee; John, Mark Earl

2000-01-01T23:59:59.000Z

125

Developing an integrated transit schedule with improved passenger level of service measures  

E-Print Network [OSTI]

scheduling research projects can be found in the ADAR and BDARP research and in papers by Bodin et al. (15), Psaraftis (16, 17), Desrochers and Soumis (18), Desrosiers et al. (19), and Jaw et al. (20). Applicable ADA Regulations ADA regulations constrain...

Blume, Kelly Lyn

2012-06-07T23:59:59.000Z

126

2007 Wholesale Power Rate Schedules : 2007 General Rate Schedule Provisions.  

SciTech Connect (OSTI)

This schedule is available for the contract purchase of Firm Power to be used within the Pacific Northwest (PNW). Priority Firm (PF) Power may be purchased by public bodies, cooperatives, and Federal agencies for resale to ultimate consumers, for direct consumption, and for Construction, Test and Start-Up, and Station Service. Rates in this schedule are in effect beginning October 1, 2006, and apply to purchases under requirements Firm Power sales contracts for a three-year period. The Slice Product is only available for public bodies and cooperatives who have signed Slice contracts for the FY 2002-2011 period. Utilities participating in the Residential Exchange Program (REP) under Section 5(c) of the Northwest Power Act may purchase Priority Firm Power pursuant to the Residential Exchange Program. Rates under contracts that contain charges that escalate based on BPA's Priority Firm Power rates shall be based on the three-year rates listed in this rate schedule in addition to applicable transmission charges. This rate schedule supersedes the PF-02 rate schedule, which went into effect October 1, 2001. Sales under the PF-07 rate schedule are subject to BPA's 2007 General Rate Schedule Provisions (2007 GRSPs). Products available under this rate schedule are defined in the 2007 GRSPs. For sales under this rate schedule, bills shall be rendered and payments due pursuant to BPA's 2007 GRSPs and billing process.

United States. Bonneville Power Administration.

2006-11-01T23:59:59.000Z

127

ALS Spectrum  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered¬ČPNGExperience4AJ01) (See95TI07)Operations DuringALS DoctoralALSSpectroscopy

128

ALS Spectrum  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered¬ČPNGExperience4AJ01) (See95TI07)Operations DuringALS

129

DOERS Records Schedule Cross Index to DOE Administrative Records...  

Office of Environmental Management (EM)

DOERS Records Schedule Cross Index to DOE Administrative Records Disposition Schedules DOERS Records Schedule Cross Index to DOE Administrative Records Disposition Schedules...

130

Schedule - 88-Inch Cyclotron  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest RegionatSearch WelcomeScienceProgramsSANDCurrentNational|ScatteringSchedule

131

Green Scheduling: Scheduling of Control Systems for Peak Power Reduction  

E-Print Network [OSTI]

approach to fine-grained coordination of energy demand by scheduling energy consuming control systems of the system variables only, control system execution (i.e. when energy is supplied to the system-Scheduling; Energy Systems; Peak Power Reduction; Load Balancing; I. INTRODUCTION During a major sporting event

Pappas, George J.

132

Online Energy Generation Scheduling for Microgrids with  

E-Print Network [OSTI]

Online Energy Generation Scheduling for Microgrids with Intermittent Energy Sources and Co entitled: Online Energy Generation Scheduling for Microgrids with Intermittent Energy Sources and Co schedul- ing. However, accurate prediction cannot be guaranteed due to the small scale of microgrids

Zhang, Junshan

133

Reduce Building Energy Consumption by Improving the Supply Air Temperature Schedule and Recommissioning the Terminal Boxes, Submitted to the Energy Management and Operations Division at the M.D. Anderson Cancer Center  

E-Print Network [OSTI]

At the request of the Energy Management and Operations Department at M.D. Anderson Cancer Center, the Energy Systems Laboratory of Texas A&M University performed a study of optimizing the HVAC operation at its Basic Research Building. The Basic...

Liu, M.; Athar, A.; Zhu, Y.; Claridge, D. E.

1995-01-01T23:59:59.000Z

134

Integration of Refinery Planning and Crude-Oil Scheduling using Lagrangian Decomposition  

E-Print Network [OSTI]

Integration of Refinery Planning and Crude-Oil Scheduling using Lagrangian Decomposition Sylvain: refinery planning and crude-oil operations scheduling. The proposed approach consists of using Lagrangian-study and a larger refinery problem show that the Lagrangian decomposition algorithm is more robust than the other

Grossmann, Ignacio E.

135

The Vehicle Scheduling Problem with Intermittent Customer Demands W. C. Benton  

E-Print Network [OSTI]

Engineering The Ohio State University May 9, 1991 revised June 11, 2008 #12;Abstract The vehicle scheduling is to minimize the total cost of operating the vehicle fleet. The key cost components are labor, fuelThe Vehicle Scheduling Problem with Intermittent Customer Demands W. C. Benton Academic Faculty

Rossetti, Manuel D.

136

BATTERY AWARE TASK SCHEDULING FOR A SYSTEM-ON-A-CHIP USING VOLTAGE/CLOCK SCALING  

E-Print Network [OSTI]

is closest to the [12]; however we use Li-Ion based battery model of [13] to guide the schedul- ing processBATTERY AWARE TASK SCHEDULING FOR A SYSTEM-ON-A-CHIP USING VOLTAGE/CLOCK SCALING Princey Chowdhury Engineering Tempe AZ 85287 ABSTRACT Battery lifetime is a critical parameter in the operation of mobile

Kambhampati, Subbarao

137

Hanford Site Environmental Surveillance Master Sampling Schedule  

SciTech Connect (OSTI)

Environmental surveillance of the Hanford Site and surrounding areas is conducted by the Pacific Northwest National Laboratory (PNNL) for the U.S. Department of Energy (DOE). Sampling is conducted to evaluate levels of radioactive and nonradioactive pollutants in the Hanford environs, as required in DOE Order 5400.1, General Environmental Protection Program: and DOE Order 5400.5, Radiation Protection of the Public and the Environment. The sampling design is described in the Operations Office, Environmental Monitoring Plan, United States Department of Energy, Richland DOE/RL-91-50, Rev.2, U.S. Department of Energy, Richland, Washington. This document contains the CY 2000 schedules for the routine collection of samples for the Surface Environmental Surveillance Project (SESP) and Drinking Water Monitoring Project. Each section includes sampling locations, sample types, and analyses to be performed. In some cases, samples are scheduled on a rotating basis and may not be collected in 2000 in which case the anticipated year for collection is provided. In addition, a map showing approximate sampling locations is included for each media scheduled for collection.

LE Bisping

2000-01-27T23:59:59.000Z

138

ADMINISTRATIVE RECORDS SCHEDULE 9: TRAVEL AND TRANSPORTATION...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

9: TRAVEL AND TRANSPORTATION RECORDS (Revision 2) ADMINISTRATIVE RECORDS SCHEDULE 9: TRAVEL AND TRANSPORTATION RECORDS (Revision 2) This schedule covers records documenting the...

139

Microgrid Reliability Modeling and Battery Scheduling Using Stochastic Linear Programming  

SciTech Connect (OSTI)

This paper describes the introduction of stochastic linear programming into Operations DER-CAM, a tool used to obtain optimal operating schedules for a given microgrid under local economic and environmental conditions. This application follows previous work on optimal scheduling of a lithium-iron-phosphate battery given the output uncertainty of a 1 MW molten carbonate fuel cell. Both are in the Santa Rita Jail microgrid, located in Dublin, California. This fuel cell has proven unreliable, partially justifying the consideration of storage options. Several stochastic DER-CAM runs are executed to compare different scenarios to values obtained by a deterministic approach. Results indicate that using a stochastic approach provides a conservative yet more lucrative battery schedule. Lower expected energy bills result, given fuel cell outages, in potential savings exceeding 6percent.

Cardoso, Goncalo; Stadler, Michael; Siddiqui, Afzal; Marnay, Chris; DeForest, Nicholas; Barbosa-Povoa, Ana; Ferrao, Paulo

2013-05-23T23:59:59.000Z

140

Integrated network design and scheduling problems : optimization algorithms and applications.  

SciTech Connect (OSTI)

We consider the class of integrated network design and scheduling problems. These problems focus on selecting and scheduling operations that will change the characteristics of a network, while being speci cally concerned with the performance of the network over time. Motivating applications of INDS problems include infrastructure restoration after extreme events and building humanitarian distribution supply chains. While similar models have been proposed, no one has performed an extensive review of INDS problems from their complexity, network and scheduling characteristics, information, and solution methods. We examine INDS problems under a parallel identical machine scheduling environment where the performance of the network is evaluated by solving classic network optimization problems. We classify that all considered INDS problems as NP-Hard and propose a novel heuristic dispatching rule algorithm that selects and schedules sets of arcs based on their interactions in the network. We present computational analysis based on realistic data sets representing the infrastructures of coastal New Hanover County, North Carolina, lower Manhattan, New York, and a realistic arti cial community CLARC County. These tests demonstrate the importance of a dispatching rule to arrive at near-optimal solutions during real-time decision making activities. We extend INDS problems to incorporate release dates which represent the earliest an operation can be performed and exible release dates through the introduction of specialized machine(s) that can perform work to move the release date earlier in time. An online optimization setting is explored where the release date of a component is not known.

Nurre, Sarah G.; Carlson, Jeffrey J.

2014-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "als operating schedule" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

1 ON LANGUAGES FOR DYNAMIC RESOURCE SCHEDULING PROBLEMS  

E-Print Network [OSTI]

, mathematics, chemistry and the oil industry. Particularly in today's relatively specialized economy, it is di are: management, operations, marketing and human resources. Management thinks of itself a1 ON LANGUAGES FOR DYNAMIC RESOURCE SCHEDULING PROBLEMS Warren B. Powell Abstract: The modeling

Powell, Warren B.

142

POWER SCHEDULING IN A HYDROTHERMAL SYSTEM UNDER UNCERTAINTY  

E-Print Network [OSTI]

POWER SCHEDULING IN A HYDRO≠THERMAL SYSTEM UNDER UNCERTAINTY C.C. CarÝe 1 , M.P. Nowak 2 , W. R in the complex≠ ity of the traditional power optimization mod≠ els. The remedy we propose is decomposition which≠storage hydro plants and delivery con≠ tracts and describe an optimization model for its least≠cost operation

RŲmisch, Werner

143

Optimal Preventive Maintenance Scheduling in Semiconductor Manufacturing  

E-Print Network [OSTI]

1 Optimal Preventive Maintenance Scheduling in Semiconductor Manufacturing Xiaodong Yao, Emmanuel on Control Applications in 2001. #12;2 Abstract Preventive Maintenance (PM) scheduling is a very challenging schedule with that of a baseline reference schedule are also presented. Index Terms preventive maintenance

Marcus, Steven I.

144

Provably Efficient Two-Level Adaptive Scheduling  

E-Print Network [OSTI]

processor reallocation, our schedulers provide control over the scheduling overhead and ensure effectiveProvably Efficient Two-Level Adaptive Scheduling Yuxiong He1 , Wen-Jing Hsu1 , and Charles E. Multiprocessor scheduling in a shared multiprogramming en- vironment can be structured in two levels, where

Feitelson, Dror

145

Wireless Link Scheduling under Physical Interference Model  

E-Print Network [OSTI]

approximation algorithms for link scheduling with or without power control. Index Terms--Link schedulingWireless Link Scheduling under Physical Interference Model Peng-Jun Wan, Ophir Frieder, Xiaohua Jia: jia@cs.cityu.edu.hk, csfyao@cityu.edu.hk Abstract--Link scheduling is a fundamental problem in multi

Jia, Xiaohua

146

On parallel machine scheduling 1  

E-Print Network [OSTI]

On parallel machine scheduling 1 machines with setup times. The setup has to be performed by a single server. The objective is to minimize even for the case of two identical parallel machines. This paper presents a pseudopolynomial

Magdeburg, Universität

147

Global vs. local decision support for multiple independent UAV schedule management  

E-Print Network [OSTI]

As unmanned aerial vehicles (UAVs) become increasingly autonomous, time-critical and complex single-operator systems will require advance prediction and mitigation of schedule conflicts. However, actions that

Cummings, M.l

2010-01-01T23:59:59.000Z

148

Vehicle routing and scheduling for the ultra short haul transportation system  

E-Print Network [OSTI]

A method of vehicle routing and scheduling for an air based intraurban transportation system is developed. The maximization of level of service to passengers in a system operating under time varying demand is considered ...

Smith, Barry C.

1979-01-01T23:59:59.000Z

149

Modeling real-time human-automation collaborative scheduling of unmanned vehicles  

E-Print Network [OSTI]

Recent advances in autonomy have enabled a future vision of single operator control of multiple heterogeneous Unmanned Vehicles (UVs). Real-time scheduling for multiple UVs in uncertain environments will require the ...

Clare, Andrew S

2013-01-01T23:59:59.000Z

150

Integrated production and maintenance scheduling  

E-Print Network [OSTI]

. 60 Levels of Processing Times and Rate Modifiers . . . 60 Experiment I: Comparing g C, with Methods ERI, ER2, ER3 with PC 62 Experiment I: Comparing Total CPU Time. Experiment I: Comparing Number of Schedules Explored . . . 64 65 Experiment I...: Comparing Schedule Number of Best Solution Found. . . . Experiment 2: Comparing g C, by PC Versus GLB . . . . . . . . . . . . . . . . . . . . . . . . . . 67 69 10 Experiment 2: Comparing gC, with Methods ERI, ER2, ER3, Gl, G2 with PC...

Whitaker, Laura Oakes

1996-01-01T23:59:59.000Z

151

Bringing the User Back into Scheduling: Two Case Studies of Interaction with Intelligent Scheduling Assistants  

E-Print Network [OSTI]

of scheduling, or they demand too much control of an important aspect of the individual's working world. PTIMEBringing the User Back into Scheduling: Two Case Studies of Interaction with Intelligent Scheduling This position paper discusses the scheduling problem as collaboration between human and automated scheduling

Yorke-Smith, Neil

152

Darlington AL O'Reillys AL  

E-Print Network [OSTI]

CanungraCk Darlington AL Darlington Coom era R O'Reillys AL Beechmont AL Binna Burra AL BackCk Tyungun AL Numinbah Valley AL NerangR Natural Bridge Numinbah AL Little Nerang Dam AL Albert R Bromfleet AL Benobble AL Wolffdene AL Luscombe AL Wongawallan AL Mt Tamborine Canungra Pimpama R Laheys Lookout

Greenslade, Diana

153

Modelling Planning and Scheduling Problems with Time and Resources* ROMAN BARTK  

E-Print Network [OSTI]

Modelling Planning and Scheduling Problems with Time and Resources* ROMAN BART√ĀK Department of sequencing operators to achieve some goal. In STRIPS- like planning, the operator is defined by pre-conditions and effects, i.e., the pre-conditions must be satisfied to use the operator, and the effects hold after using

Bartak, Roman

154

Multi-agent Cluster Scheduling for Scalability and Flexibility  

E-Print Network [OSTI]

of clusters scheduling and classical concurrency controlotherwise push control of task scheduling and execution towhich actively controls and modifies scheduling domains as

Konwinski, Andrew David

2012-01-01T23:59:59.000Z

155

Adaptive Scheduling in Ad Hoc and Cellular Wireless Networks  

E-Print Network [OSTI]

2004. 3 Joint Scheduling and Power Control for Multicastingusers. This joint scheduling and power control problem is38 Joint Scheduling and Power Control for Multicasting in

Tan, Choo Chin

2013-01-01T23:59:59.000Z

156

A Hybrid Bin-Packing Heuristic to Multiprocessor Scheduling  

E-Print Network [OSTI]

Abstract. The multiprocessor scheduling problem consists in schedul- ...... parallel machine scheduling", Production Planning and Control 9 (1998), 685{689. 9.

157

Hanford Site Environmental Surveillance Master Sampling Schedule  

SciTech Connect (OSTI)

Environmental surveillance of the Hanford Site and surrounding areas is conducted by the Pacific Northwest National Laboratory (PNNL) for the U.S. Department of Energy (DOE). Sampling is conducted to evaluate levels of radioactive and nonradioactive pollutants in the Hanford environs, as required in DOE Order 5400.1, ''General Environmental protection Program,'' and DOE Order 5400.5, ''Radiation Protection of the Public and the Environment.'' The sampling methods are described in the Environmental Monitoring Plan, United States Department of Energy, Richland Operations Office, DOE/RL-91-50, Rev.2, U.S. Department of Energy, Richland, Washington. This document contains the CY1999 schedules for the routine collection of samples for the Surface Environmental Surveillance Project (SESP) and Drinking Water Monitoring Project. Each section includes the sampling location, sample type, and analyses to be performed on the sample. In some cases, samples are scheduled on a rotating basis and may not be collected in 1999 in which case the anticipated year for collection is provided. In addition, a map is included for each media showing approximate sampling locations.

LE Bisping

1999-02-12T23:59:59.000Z

158

Scheduling a Metacomputer With Uncooperative Sub-schedulers ?  

E-Print Network [OSTI]

metacomputing project. A real metacomputer management system will not gain exclusive access to all its resources algorithm has to deal with a set of local sub-schedulers performing individual machine management. Based the algorithms currently used in metacomputer management systems. 1 Introduction Ever since 1992 when the term

Feitelson, Dror

159

Human aspects of scheduling : a case study  

E-Print Network [OSTI]

This work presents a look at real-life production-floor scheduling, comparing and contrasting it to both normative OR theory and Cognitive Psychology theory. Relevant literature in OR, scheduling and psychology is reviewed, ...

Boasson, Yishai, 1973-

2006-01-01T23:59:59.000Z

160

Scheduling with Fixed Maintenance, Shared Resources and ...  

E-Print Network [OSTI]

Nov 17, 2014 ... maintenance constraints, blending and shared resources. ...... tegrated fixed time interval preventive maintenance and production for schedul-.

2015-02-07T23:59:59.000Z

Note: This page contains sample records for the topic "als operating schedule" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

ADMINISTRATIVE RECORDS SCHEDULE 17: CARTOGRAPHIC, AERIAL PHOTOGRAPHIC...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

7: CARTOGRAPHIC, AERIAL PHOTOGRAPHIC, ARCHITECTURAL, ENGINEERING, AND FACILITY MANAGEMENT RECORDS ADMINISTRATIVE RECORDS SCHEDULE 17: CARTOGRAPHIC, AERIAL PHOTOGRAPHIC,...

162

Proposal Submittal and Scheduling Procedures for Macromolecular...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Proposal Submittal and Scheduling Procedures for Macromolecular Crystallography Beam time for macromolecular crystallography projects is obtained by submitting an SSRL...

163

ADMINISTRATIVE RECORDS SCHEDULE 5: BUDGET PREPARATION, PRESENTATION...  

Broader source: Energy.gov (indexed) [DOE]

5: BUDGET PREPARATION, PRESENTATION, AND APPORTIONMENT RECORDS ADMINISTRATIVE RECORDS SCHEDULE 5: BUDGET PREPARATION, PRESENTATION, AND APPORTIONMENT RECORDS Budget and...

164

ADMINISTRATIVE RECORDS SCHEDULE 5: BUDGET PREPARATION, PRESENTATION...  

Broader source: Energy.gov (indexed) [DOE]

5: BUDGET PREPARATION, PRESENTATION, AND APPORTIONMENT ADMINISTRATIVE RECORDS SCHEDULE 5: BUDGET PREPARATION, PRESENTATION, AND APPORTIONMENT Budget and apportionment records...

165

1 of 2 Scheduling-Guidelines.docx Statler College Scheduling Guidelines  

E-Print Network [OSTI]

College controlled conference rooms ... 1. Conference rooms, under College scheduling control, support1 of 2 Scheduling-Guidelines.docx Statler College Scheduling Guidelines effective August 27, 2013 with the above information o Online at http://eventscheduling.wvu.edu and use MyID login o Send email to statler-scheduling

Mohaghegh, Shahab

166

Optimization of Injection Scheduling in  

E-Print Network [OSTI]

SGP-TR-I12 Optimization of Injection Scheduling in Geothermal Fields James Lovekin May 1987&injection optimization problem is broke$ into two subpmbkm:(1) choosing a configuration of injectorsfrom an existing set is defined as the fieldwide break- through lindex, B. Injection is optimized by choosing injection wells

Stanford University

167

Batch Scheduling with Deadlines on Parallel Machines  

E-Print Network [OSTI]

Batch Scheduling with Deadlines on Parallel Machines Peter Brucker Mikhail Y. Kovalyov, Yakov M of scheduling G groups of jobs on m parallel machines is considered. Each group consists of several identical) and to schedule the batches on the machines. It is possible for different batches of the same group

Magdeburg, Universität

168

DYNAMIC SCHEDULING M. C. H. Wright  

E-Print Network [OSTI]

for a time interval after which control is returned to the scheduling program to determine the best project who wants more time to evaluate their data can return control to the scheduling program, and come backDYNAMIC SCHEDULING M. C. H. Wright Radio Astronomy Laboratory, University of California, Berkeley

Militzer, Burkhard

169

CPU Inheritance Scheduling Bryan Ford Sai Susarla  

E-Print Network [OSTI]

, providing much greater scheduling flexibil­ ity. Modular, hierarchical control can be provided over systems control the sharing of the machine's CPU resources among threads using a fixed scheduling schemeCPU Inheritance Scheduling Bryan Ford Sai Susarla Department of Computer Science University of Utah

Ford, Bryan

170

CPU Inheritance Scheduling Bryan Ford Sai Susarla  

E-Print Network [OSTI]

, providing much greater scheduling flexibil- ity. Modular, hierarchical control can be provided overCPU Inheritance Scheduling Bryan Ford Sai Susarla Department of Computer Science University of Utah processor scheduling mechanisms in operat- ing systems are fairly rigid, often supportingonly one fixed

Ford, Bryan

171

Models for Train Scheduling Krishna C. Jha  

E-Print Network [OSTI]

Models for Train Scheduling Krishna C. Jha Vice President - Research & Development krishna/analytics, and packaging into web-based map-based interfaces. Innovative Scheduling Overview #12;-3- The train schedule is one of most critical components in the passenger or freight transportations. The quality of a train

Bustamante, Fabi√°n E.

172

Flow shop scheduling with peak power consumption constraints  

E-Print Network [OSTI]

Mar 29, 2012 ... Flow shop scheduling with peak power consumption constraints ... Keywords: scheduling, flow shop, energy, peak power consumption, integer†...

K. Fang

2012-03-29T23:59:59.000Z

173

ALS Visitors  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

including Ethan Crumlin (at right) about current research in energy storage and battery efficiency. Berkeleyside Editor Lance Knoble toured the ALS and Berkeley Lab with...

174

TRU Waste Management Program cost/schedule optimization analysis  

SciTech Connect (OSTI)

The cost/schedule optimization task is a necessary function to insure that program goals and plans are optimized from a cost and schedule aspect. Results of this study will offer DOE information with which it can establish, within institutional constraints, the most efficient program for the long-term management and disposal of contact handled transuranic waste (CH-TRU). To this end, a comprehensive review of program cost/schedule tradeoffs has been made, to identify any major cost saving opportunities that may be realized by modification of current program plans. It was decided that all promising scenarios would be explored, and institutional limitations to implementation would be described. Since a virtually limitless number of possible scenarios can be envisioned, it was necessary to distill these possibilities into a manageable number of alternatives. The resultant scenarios were described in the cost/schedule strategy and work plan document. Each scenario was compared with the base case: waste processing at the originating site; transport of CH-TRU wastes in TRUPACT; shipment of drums in 6-Packs; 25 year stored waste workoff; WIPP operational 10/88, with all sites shipping to WIPP beginning 10/88; and no processing at WIPP. Major savings were identified in two alternate scenarios: centralize waste processing at INEL and eliminate rail shipment of TRUPACT. No attempt was made to calculate savings due to combination of scenarios. 1 ref., 5 figs., 1 tab. (MHB)

Detamore, J.A. (Rockwell International Corp., Albuquerque, NM (United States). Joint Integration Office); Raudenbush, M.H.; Wolaver, R.W.; Hastings, G.A. (Stoller (S.M.) Corp., Boulder, CO (United States))

1985-10-01T23:59:59.000Z

175

Innovative Applications of O.R. Master surgery scheduling with consideration of multiple downstream  

E-Print Network [OSTI]

Innovative Applications of O.R. Master surgery scheduling with consideration of multiple downstream on operating theater and operating staff, we enlarge the scope to downstream resources, such as the intensive for the downstream resources. We then discuss measures to define downstream costs resulting from the MSS and propose

Boucherie, Richard J.

176

Short-Term Operation Scheduling in Renewable-Powered Microgrids  

E-Print Network [OSTI]

of demand forecast error. Mean of wind power forecast error. Cooling time constant of a unit. Variance of demand forecast error. Variance of wind power forecast error. Step size of the subgradient method. UC. Cold start-up cost of a unit. Dual function. Forecasted demand in time interval . Emission function

Bornemann, Jens

177

Simultaneous Design, Scheduling and Operation Through Process Integration  

E-Print Network [OSTI]

to environment Variables product tp C , Unit selling price of product p during period t d Design variable t,i u F Flowrate for the i u th input to the process unit ti v F , Mixed flow rate to EMUs t,j u G Flowrate for the j u th output... Composition of material q in output stream j u th q,w Z Composition of the q th pollutant in the w th waste stream product tp C , Unit selling price of product p during period t Binary variables E i,j,m Binary variable for existence of a match...

Al-Mutairi, Eid M.

2009-05-15T23:59:59.000Z

178

ARM Intensive Operational Period Scheduled to Validate New NASA Satellite  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)Productssondeadjustsondeadjust Documentation DataProductswsicloudwsicloudsummarygifAOS3 ARM93 ARM2 ARM

179

Exhibit D: Mirant Potomac River Schedule of Operations: January and  

Broader source: Energy.gov (indexed) [DOE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomentheATLANTA, GA5 &of Energy memoCity of Los Angeles|How

180

Exhibit D: Mirant Potomac River Schedule of Unit Operations: January -  

Broader source: Energy.gov (indexed) [DOE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomentheATLANTA, GA5 &of Energy memoCity of Los Angeles|HowMarch 2006 |

Note: This page contains sample records for the topic "als operating schedule" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

BNL Photon Sciences | NSLS-II Operating Schedule  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation InInformationCenterResearch HighlightsToolsBES Reports Energy Frontier

182

E-Print Network 3.0 - automated operations planning Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

State University Collection: Computer Technologies and Information Sciences 11 Operator Scheduling Strategies in Supervisory Control of Multiple UAVs M.L. Cummings* Summary: some...

183

Conduct of operations implementation plan  

SciTech Connect (OSTI)

This implementation plan describes the process and provides information and schedules that are necessary to implement and comply with the Department of Energy (DOE) Order 5480.19, {open_quotes}Conduct of Operations{close_quotes} (CoOp). This plan applies to all Pinellas Plant operations and personnel. Generally, this Plan discusses how DOE Order 5480.19 will be implemented at the Pinellas Plant.

Anderson, C.K.; Hall, R.L.

1991-02-20T23:59:59.000Z

184

Machine scheduling using the Bees algorithm.  

E-Print Network [OSTI]

??Single-machine scheduling is the process of assigning a group of jobs to a machine. The jobs are arranged so that a performance measure, such asÖ (more)

Phrueksanant, Janyarat

2013-01-01T23:59:59.000Z

185

Construction project scheduling problem with uncertain resource ...  

E-Print Network [OSTI]

... on-going activities. 7 Conclusions and future work .... constrained construction scheduling, Journal of Computing in Civil Engineering, 13(3),. 207-216. [23] Liu†...

2004-06-01T23:59:59.000Z

186

Statler College Scheduling Guidelines General Procedures  

E-Print Network [OSTI]

Statler College Scheduling Guidelines General Procedures Basic event information needed o Event Procedures Basic event information needed o Event name o Contact name, phone, email o expected number

Mohaghegh, Shahab

187

CM-1-H Wholesale Power Rate Schedule  

Broader source: Energy.gov [DOE]

Availability:This rate schedule shall be available to the South Mississippi Electric Power Association, Municipal Energy Agency of Mississippi, and Mississippi Delta Energy Agency (hereinafter...

188

The Schedule - DOE Directives, Delegations, and Requirements  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

funds are required. This chapter will briefly discuss some scheduling basics. g4301-1chp12.pdf -- PDF Document, 60 KB Writer: John Makepeace Subjects: Administration Management...

189

ADMINISTRATIVE RECORDS SCHEDULE 4: PROPERTY DISPOSAL RECORDS...  

Broader source: Energy.gov (indexed) [DOE]

4: PROPERTY DISPOSAL RECORDS (Revision 2) ADMINISTRATIVE RECORDS SCHEDULE 4: PROPERTY DISPOSAL RECORDS (Revision 2) These records pertain to the sales by agencies of real and...

190

ADMINISTRATIVE RECORDS SCHEDULE 18: SECURITY, EMERGENCY PLANNING...  

Broader source: Energy.gov (indexed) [DOE]

8: SECURITY, EMERGENCY PLANNING, AND SAFETY RECORDS ADMINISTRATIVE RECORDS SCHEDULE 18: SECURITY, EMERGENCY PLANNING, AND SAFETY RECORDS Protection program records include the...

191

Scheduling Workover Rigs for Onshore Oil Production  

E-Print Network [OSTI]

Scheduling Workover Rigs for Onshore Oil. Production. Dario J. Aloise, Daniel Aloise, Caroline T.M. Rocha. Universidade Federal do Rio Grande do Norte,.

2003-06-23T23:59:59.000Z

192

Scheduling with Fixed Maintenance, Shared Resources and ...  

E-Print Network [OSTI]

Nov 30, 2014 ... Scheduling with Fixed Maintenance, Shared Resources and Nonlinear Feedrate Constraints: a Mine Planning Case Study. Christina N Burt†...

Christina N Burt

2014-11-30T23:59:59.000Z

193

Robustness in Combinatorial Optimization and Scheduling Theory ...  

E-Print Network [OSTI]

ten years in the area of combinatorial optimization and scheduling theory .... with robust reformulation of optimization model by adapting robust control†...

2006-09-26T23:59:59.000Z

194

An Optimal General Purpose Scheduler for Networked Control Systems  

E-Print Network [OSTI]

An Optimal General Purpose Scheduler for Networked Control Systems Ahmed Elmahdi , Ahmad F Taha to control the time delay is to im- prove the scheduling criterion. This paper proposes an optimal scheduling the stability of the control system. The proposed optimal schedul- ing protocol is a hybrid scheduling criterion

Sun, Dengfeng

195

Schedule  

E-Print Network [OSTI]

Lesson 1 Video ∑ Lesson 1 Outline. 6/17. Lesson 2 PowerPoint (Part A) ∑ Lesson 2 PowerPoint (Part B) ∑ Lesson 2 Video ∑ Lesson 2 ... Lesson 3 Video ∑ Lesson 3†...

196

Schedule  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administrationcontroller systems controller systemsis aSecurity8NuclearofScatteringNationalPlease

197

SPACE PLANNING & OPERATIONS University of Pennsylvania School of Medicine  

E-Print Network [OSTI]

SPACE PLANNING & OPERATIONS University of Pennsylvania School of Medicine Policy & Procedure: Public Space Use and Scheduling 12 May 2003 PLEASE NOTE THAT THIS POLICY IS CURRENTLY UNDER REVISION Description: School of Medicine Public Space (list defined below) is being centrally scheduled by Space

Bushman, Frederic

198

Environmental surveillance master sampling schedule  

SciTech Connect (OSTI)

This document contains the planned 1994 schedules for routine collection of samples for the Surface Environmental Surveillance Project (SESP), Drinking Water Project, and Ground-Water Surveillance Project. Samples are routinely collected for the SESP and analyzed to determine the quality of air, surface water, soil, sediment, wildlife, vegetation, foodstuffs, and farm products at Hanford Site and surrounding communities. The responsibility for monitoring the onsite drinking water falls outside the scope of the SESP. The Hanford Environmental Health Foundation is responsible for monitoring the nonradiological parameters as defined in the National Drinking Water Standards while PNL conducts the radiological monitoring of the onsite drinking water. PNL conducts the drinking water monitoring project concurrent with the SESP to promote efficiency and consistency, utilize the expertise developed over the years, and reduce costs associated with management, procedure development, data management, quality control and reporting. The ground-water sampling schedule identifies ground-water sampling events used by PNL for environmental surveillance of the Hanford Site.

Bisping, L.E.

1994-02-01T23:59:59.000Z

199

ALS@20  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation InInformation InExplosion Monitoring:Home|PhysicsGasandArgonneALS in the News ALS

200

Defining control strategies for microgrids islanded operation  

E-Print Network [OSTI]

AbstractóThis paper describes and evaluates the feasibility of control strategies to be adopted for the operation of a microgrid when it becomes isolated. Normally, the microgrid operates in interconnected mode with the medium voltage network; however, scheduled or forced isolation can take place

J. A. PeÁas Lopes; Senior Member; C. L. Moreira; A. G. Madureira

2006-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "als operating schedule" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

Time and event triggered communication scheduling for automotive applications  

E-Print Network [OSTI]

Time and event triggered communication scheduling for automotive applications ROGER JOHANSSON and event triggered communication scheduling for automotive applications 1 ROGER JOHANSSON Department triggered communication scheduling for automotive applications ROGER JOHANSSON © ROGER JOHANSSON, 2004

Johansson, Roger

202

Energy Efficiency Exchange 2015 Schedule | Department of Energy  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Schedule Energy Efficiency Exchange 2015 Schedule The schedule for Energy Efficiency Exchange 2015 is available below. Monday, August 10, 2015 12 p.m.-5:30 p.m. Registration...

203

Santee-3-E Wholesale Power Rate Schedule | Department of Energy  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Santee-3-E Wholesale Power Rate Schedule Santee-3-E Wholesale Power Rate Schedule Area: None System: Georgia-Alabama-South Carolina This rate schedule shall be available to public...

204

Distributed and Networked Dynamic Resource Allocation, Scheduling, and Control Experiments  

E-Print Network [OSTI]

Distributed and Networked Dynamic Resource Allocation, Scheduling, and Control Experiments Nicanor into decentralized and networked dynamic resource allocation, scheduling, and control. 2 Questions 1. What, "Experiments for decentralized and networked dynamic resource allocation, scheduling, and control," Submitted

205

PROJECT SCHEDULING: IMPROVED APPROACH TO INCORPORATE  

E-Print Network [OSTI]

] project scheduling inevitably involves uncertainty. The basic inputs (i.e., time, cost, and resourcesPROJECT SCHEDULING: IMPROVED APPROACH TO INCORPORATE UNCERTAINTY USINC BAYESIAN NETWORKS VAHID, there is a causal relationship between these uncertainty sources and project parameters; this causality

Neil, Martin

206

Online Deadline Scheduling with Bounded Energy Efficiency  

E-Print Network [OSTI]

Online Deadline Scheduling with Bounded Energy Efficiency Joseph Wun-Tat Chan1 , Tak-Wah Lam 2 concern when compared to throughput and the schedules targeted may be very poor in energy efficiency subject to a user-defined threshold of energy efficiency. We first show that all deterministic online

Wong, Prudence W.H.

207

Electrical Engineering Technology (EET) LONG RANGE SCHEDULE  

E-Print Network [OSTI]

and Machinery C T C T EET 365W Electrical Power & Machinery Laboratory C C, V V C C, V V EET 370T Energy=Virtual Laboratory, W=Web based This schedule is tentative. All Course offerings are subject to minimum enrollmentElectrical Engineering Technology (EET) LONG RANGE SCHEDULE Course Number and Name Fall 2010 Spr

208

To cite this version : Rigo-Mariani, Rmy and Sareni, Bruno and Roboam, Xavier Fast Power Flow Scheduling and Sensitivity Analysis for Sizing a  

E-Print Network [OSTI]

of cost-effectiveness. Keywords ­ Microgrid, storage, optimal scheduling; linear programming, dynamic with the development of energy storage technologies and evolving price policies [3]. Those operations would aim Scheduling and Sensitivity Analysis for Sizing a Microgrid with Storage. (2014) In: 11th International

Mailhes, Corinne

209

Parallel machine match-up scheduling with manufacturing cost considerations  

E-Print Network [OSTI]

approach for the single machine scheduling problem. Journaldecisions on parallel CNC machines: -constraint approach.mechanism for the CNC machine scheduling problems with

AktŁrk, M. Selim; AtamtŁrk, Alper; GŁrel, Sinan

2010-01-01T23:59:59.000Z

210

ADMINISTRATIVE RECORDS SCHEDULE 3: PROCUREMENT, SUPPLY, AND GRANT...  

Energy Savers [EERE]

RECORDS SCHEDULE 3: PROCUREMENT, SUPPLY, AND GRANT RECORDS ADMINISTRATIVE RECORDS SCHEDULE 3: PROCUREMENT, SUPPLY, AND GRANT RECORDS The basic procurement files reflect a...

211

ADMINISTRATIVE RECORDS SCHEDULE 3: PROCUREMENT, SUPPLY, AND GRANT...  

Office of Environmental Management (EM)

ADMINISTRATIVE RECORDS SCHEDULE 3: PROCUREMENT, SUPPLY, AND GRANT RECORDS ADMINISTRATIVE RECORDS SCHEDULE 3: PROCUREMENT, SUPPLY, AND GRANT RECORDS The basic procurement files...

212

POLICY GUIDANCE MEMORANDUM #02 Using Schedule A Hiring Authority...  

Energy Savers [EERE]

2 Using Schedule A Hiring Authority for ARRA Positions (Expired) POLICY GUIDANCE MEMORANDUM 02 Using Schedule A Hiring Authority for ARRA Positions (Expired) THIS GUIDANCE HAS...

213

ADMINISTRATIVE RECORDS SCHEDULE 23: RECORDS COMMON TO MOST OFFICES...  

Broader source: Energy.gov (indexed) [DOE]

3: RECORDS COMMON TO MOST OFFICES (Revision 2) ADMINISTRATIVE RECORDS SCHEDULE 23: RECORDS COMMON TO MOST OFFICES (Revision 2) This schedule provides for the disposal of certain...

214

Approximate resolution of a resource-constrained scheduling problem  

E-Print Network [OSTI]

hard resource-constrained scheduling problem which arises in relation to .... schedules in which the temperature is allowed to increase. 5 ...... Systems & Control.

215

Sec. Moniz to Georgia, Energy Department Scheduled to Close on...  

Energy Savers [EERE]

to Georgia, Energy Department Scheduled to Close on Loan Guarantees to Construct New Nuclear Power Plant Reactors Sec. Moniz to Georgia, Energy Department Scheduled to Close...

216

A Mathematical approach applied to train scheduling in Brazilian ...  

E-Print Network [OSTI]

Abstract In this paper, a mathematical approach was used to schedule trains in ... Nowadays, due this criticality, the main decision about the train schedule over.

2014-07-15T23:59:59.000Z

217

Environmental surveillance master sampling schedule  

SciTech Connect (OSTI)

Environmental surveillance of the Hanford Site and surrounding areas is conducted by the Pacific Northwest Laboratory (PNL) for the US Department of Energy (DOE). This document contains the planned schedule for routine sample collection for the Surface Environmental Surveillance Project (SESP) and Ground-Water Monitoring Project. Samples for radiological analyses include Air-Particulate Filter, gases and vapor; Water/Columbia River, Onsite Pond, Spring, Irrigation, and Drinking; Foodstuffs/Animal Products including Whole Milk, Poultry and Eggs, and Beef; Foodstuffs/Produce including Leafy Vegetables, Vegetables, and Fruit; Foodstuffs/Farm Products including Wine, Wheat and Alfalfa; Wildlife; Soil; Vegetation; and Sediment. Direct Radiation Measurements include Terrestrial Locations, Columbia River Shoreline Locations, and Onsite Roadway, Railway and Aerial, Radiation Surveys.

Bisping, L E

1992-01-01T23:59:59.000Z

218

Better approximation guarantees for job-shop scheduling  

SciTech Connect (OSTI)

Job-shop scheduling is a classical NP-hard problem. Shmoys, Stein & Wein presented the first polynomial-time approximation algorithm for this problem that has a good (polylogarithmic) approximation guarantee. We improve the approximation guarantee of their work, and present further improvements for some important NP-hard special cases of this problem (e.g., in the preemptive case where machines can suspend work on operations and later resume). We also present NC algorithms with improved approximation guarantees for some NP-hard special cases.

Goldberg, L.A.; Paterson, M. [Univ. of Warwick, Conventry (United Kingdom); Srinivasan, A. [National Univ. of Singapore (Singapore)] [and others

1997-06-01T23:59:59.000Z

219

Modeling and Simulation of HVAC Faulty Operations and  

E-Print Network [OSTI]

effort and coverage: 1) proactive, performance-monitored maintenance; 2) preventive, scheduled to Maintenance Issues Liping Wang, Tianzhen Hong Environmental Energy Technologies Division January 2013 and Simulation of HVAC Faulty Operations and Performance Degradation due to Maintenance Issues Liping Wang

220

NRC comprehensive records disposition schedule. Revision 3  

SciTech Connect (OSTI)

Title 44 US Code, ``Public Printing and Documents,`` regulations issued by the General Service Administration (GSA) in 41 CFR Chapter 101, Subchapter B, ``Management and Use of Information and Records,`` and regulations issued by the National Archives and Records Administration (NARA) in 36 CFR Chapter 12, Subchapter B, ``Records Management,`` require each agency to prepare and issue a comprehensive records disposition schedule that contains the NARA approved records disposition schedules for records unique to the agency and contains the NARA`s General Records Schedules for records common to several or all agencies. The approved records disposition schedules specify the appropriate duration of retention and the final disposition for records created or maintained by the NRC. NUREG-0910, Rev. 3, contains ``NRC`s Comprehensive Records Disposition Schedule,`` and the original authorized approved citation numbers issued by NARA. Rev. 3 incorporates NARA approved changes and additions to the NRC schedules that have been implemented since the last revision dated March, 1992, reflects recent organizational changes implemented at the NRC, and includes the latest version of NARA`s General Records Schedule (dated August 1995).

NONE

1998-02-01T23:59:59.000Z

Note: This page contains sample records for the topic "als operating schedule" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

An Interior-Point Method for Long Term Scheduling of Large Scale Hydrothermal System  

E-Print Network [OSTI]

and achieves good results in small computational time. Keywords: Interior-point method, Long Term Scheduling hydro plants in the same cascade and the nonlinear nature of thermal costs and hydro generation problem where each hydro plant is individually represented with its own operational constraints. The most

Oliveira, Aurélio R. L.

222

AL. I  

Office of Legacy Management (LM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartment ofDepartment ofof EnergyYou areDowntown Site -MiamiYVE r 'Xxy";^it ! (-AL.

223

ALS Visitors  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert SouthwestTechnologies |November 2011Astudies smartHistory: The FirstUsers' ExecutiveALS

224

ALS Visitors  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert SouthwestTechnologies |November 2011Astudies smartHistory: The FirstUsers'ALS Visitors

225

Industry @ ALS  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest Region service area.Portaldefault Sign In AboutIn theIndustry @ ALS

226

Hanford tank waste operation simulator operational waste volume projection verification and validation procedure  

SciTech Connect (OSTI)

The Hanford Tank Waste Operation Simulator is tested to determine if it can replace the FORTRAN-based Operational Waste Volume Projection computer simulation that has traditionally served to project double-shell tank utilization. Three Test Cases are used to compare the results of the two simulators; one incorporates the cleanup schedule of the Tri Party Agreement.

HARMSEN, R.W.

1999-10-28T23:59:59.000Z

227

Control and Optimization Meet the Smart Power Grid - Scheduling of Power Demands for Optimal Energy Management  

E-Print Network [OSTI]

The smart power grid aims at harnessing information and communication technologies to enhance reliability and enforce sensible use of energy. Its realization is geared by the fundamental goal of effective management of demand load. In this work, we envision a scenario with real-time communication between the operator and consumers. The grid operator controller receives requests for power demands from consumers, with different power requirement, duration, and a deadline by which it is to be completed. The objective is to devise a power demand task scheduling policy that minimizes the grid operational cost over a time horizon. The operational cost is a convex function of instantaneous power consumption and reflects the fact that each additional unit of power needed to serve demands is more expensive as demand load increases.First, we study the off-line demand scheduling problem, where parameters are fixed and known. Next, we devise a stochastic model for the case when demands are generated continually and sched...

Koutsopoulos, Iordanis

2010-01-01T23:59:59.000Z

228

PHENIX WBS notes. Cost and schedule review copy  

SciTech Connect (OSTI)

The Work Breakdown Structure (WBS) Book begins with this Overview section, which contains the high-level summary cost estimate, the cost profile, and the global construction schedule. The summary cost estimate shows the total US cost and the cost in terms of PHENIX construction funds for building the PHENIX detector. All costs in the WBS book are shown in FY 1993 dollars. Also shown are the institutional and foreign contributions, the level of pre-operations funding, and the cost of deferred items. Pie charts are presented at PHENIX WBS level 1 and 2 that show this information. The PHENIX construction funds are shown broken down to PHENIX WBS level 3 items per fiscal year, and the resulting profile is compared to the RHIC target profile. An accumulated difference of the two profiles is also shown. The PHENIX global construction schedule is presented at the end of the Overview section. Following the Overview are sections for each subsystem. Each subsystem section begins with a summary cost estimate, cost profile, and critical path. The total level 3 cost is broken down into fixed costs (M&S), engineering costs (EDIA) and labor costs. Costs are further broken down in terms of PHENIX construction funds, institutional and foreign contributions, pre-operations funding, and deferred items. Also shown is the contingency at level 3 and the level 4 breakdown of the total cost. The cost profile in fiscal years is shown at level 3. The subsystem summaries are followed by the full cost estimate and schedule sheets for that subsystem. These detailed sheets are typically carried down to level 7 or 8. The cost estimate Total, M&S, EDIA, and Labor breakdowns, as well as contingency, for each WBS entry.

Not Available

1994-02-01T23:59:59.000Z

229

Knowledge-Based Design of Scheduling Systems Jrgen Sauer  

E-Print Network [OSTI]

have to decide and control within the scheduling process. In different application areas scheduling1 Knowledge-Based Design of Scheduling Systems J√ľrgen Sauer Universit√§t Oldenburg, FB Informatik Escherweg 2 D-26121 Oldenburg, Germany sauer@informatik.uni-oldenburg.de Abstract A Scheduling system shall

Appelrath, Hans-J√ľrgen

230

Survey of Gain-Scheduling Analysis & Design WE.Leithead  

E-Print Network [OSTI]

ranging from aerospace to process control. Despite the wide application of gain-scheduling controllers of gain-scheduling controllers and a diverse academic literature relating to gain- scheduling extendingSurvey of Gain-Scheduling Analysis & Design D.J.Leith WE.Leithead Department of Electronic

Duffy, Ken

231

Provably Efficient Adaptive Scheduling for Parallel Jobs  

E-Print Network [OSTI]

Scheduling competing jobs on multiprocessors has always been an important issue for parallel and distributed systems. The challenge is to ensure global, system-wide efficiency while offering a level of fairness to user ...

He, Yuxiong

232

Production Scheduling with Energy Efficiency Constraints  

E-Print Network [OSTI]

This research is motivated by a real world production scheduling problem in a continuous manufacturing system involving multiple objectives, multiple products and multiple processing lines with various inventory, production and energy efficiency...

Lee, J.; Kozman, T. A.; Wang, X.

2007-01-01T23:59:59.000Z

233

PARS II Training Schedule | Department of Energy  

Office of Environmental Management (EM)

will certify that user to receive a PARS II user account. PARSIITrainingSchedule03-06-2014.pdf More Documents & Publications Slide 1 Slide 1 PARS II Course Registration Form...

234

Underground Injection Control Fee Schedule (West Virginia)  

Broader source: Energy.gov [DOE]

This rule establishes schedules of permit fees for state under?ground injection control permits issued by the Chief of the Office of Water Resources. This rule applies to any person who is...

235

Online optimization in routing and scheduling  

E-Print Network [OSTI]

In this thesis we study online optimization problems in routing and scheduling. An online problem is one where the problem instance is revealed incrementally. Decisions can (and sometimes must) be made before all information ...

Wagner, Michael R. (Michael Robert), 1978-

2006-01-01T23:59:59.000Z

236

Scheduling and synchronization for multicore concurrency platforms  

E-Print Network [OSTI]

Developing correct and efficient parallel programs is difficult since programmers often have to manage low-level details like scheduling and synchronization explicitly. Recently, however, many hardware vendors have been ...

Agrawal, Kunal

2009-01-01T23:59:59.000Z

237

WEBVIEWER INSTRUCTION PACKET Facilities Planning and Scheduling  

E-Print Network [OSTI]

-mail: scheduling@mail.wvu.edu Website: http://facilitiesscheduling.wvu.edu http://webviewer.wvu.edu #12;2 WebViewer: Detailed Instructions Table of Contents Purpose of WebViewer.................................................................................................................................3 Tour of Web

Mohaghegh, Shahab

238

Hanford Site Environmental Surveillance Master Sampling Schedule  

SciTech Connect (OSTI)

This document contains the CY2000 schedules for the routine collection of samples for the Surface Environmental Surveillance Project (SESP) and Drinking Water Monitoring Project. Each section includes sampling locations, sample types, and analyses to be performed.

Bisping, Lynn E.

2000-01-27T23:59:59.000Z

239

Transportation resource scheduling in food retail industry  

E-Print Network [OSTI]

The objective of this thesis is to find an appropriate analytical method for scheduling the daily driver tasks in the grocery industry. The goal is to maximize driver utilization. A "Bin-packing" approach is employed to ...

Akkas, Arzum, 1978-

2004-01-01T23:59:59.000Z

240

Optimising Space through macro and micro planning and scheduling Presenters: Dr Barry McCollum, Mr Terry Roche*  

E-Print Network [OSTI]

. The cost of poor planning, UK estimates on capital and operational wastage b. Developments in scheduling capital and operational resources through implementing this approach. The presentation will focus in the outputs of the facilities planning exercise. This ensures that the resources required to build

McCollum, Barry

Note: This page contains sample records for the topic "als operating schedule" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

Green Scheduling of Control Systems for Peak Demand Reduction Truong X. Nghiem, Madhur Behl, Rahul Mangharam and George J. Pappas  

E-Print Network [OSTI]

and refrigeration operate independently of each other and frequently result in temporally correlated energy demand of energy demand by scheduling the control systems within a constrained peak while ensuring custom climate and refrigeration (HVAC&R) systems, chiller sys- tems, and lighting systems operate independently of each other

Pappas, George J.

242

MICC09 S. Al-Ghadhban 1 Comparative Study of MIMO-OFDM  

E-Print Network [OSTI]

MICC09 S. Al-Ghadhban 1 Comparative Study of MIMO-OFDM Uplink Scheduling Criteria Samir Al-Ghadhban KFUPM, Dhahran, Saudi Arabia 14 Dec 2009 #12;MICC09 S. Al-Ghadhban 2 Introduction: Multiple Input t t h t h t = H ... #12;MICC09 S. Al-Ghadhban 3 MIMO Capacity 0 5 10 15 0.9 0.92 0.94 0.96 0

Al-Ghadhban, Samir

243

Advanced Reactors Transition Program Resource Loaded Schedule  

SciTech Connect (OSTI)

The Advanced Reactors Transition (ART) Resource Loaded Schedule (RLS) provides a cost and schedule baseline for managing the project elements within the ART Program. The Fast Flux Test Facility (FFTF) activities are delineated through the end of FY 2000, assuming continued standby. The Nuclear Energy (NE) Legacies and Plutonium Recycle Test Reactor (PRTR) activities are delineated through the end of the deactivation process. This document reflects the 1 Oct 1999 baseline.

BOWEN, W.W.

1999-11-08T23:59:59.000Z

244

Real Options for Project Schedules (ROPS)  

E-Print Network [OSTI]

Real Options for Project Schedules (ROPS) has three recursive sampling/optimization shells. An outer Adaptive Simulated Annealing (ASA) optimization shell optimizes parameters of strategic Plans containing multiple Projects containing ordered Tasks. A middle shell samples probability distributions of durations of Tasks. An inner shell samples probability distributions of costs of Tasks. PATHTREE is used to develop options on schedules.. Algorithms used for Trading in Risk Dimensions (TRD) are applied to develop a relative risk analysis among projects.

Ingber, Lester

2007-01-01T23:59:59.000Z

245

Ancillary-service details: Dynamic scheduling  

SciTech Connect (OSTI)

Dynamic scheduling (DS) is the electronic transfer from one control area to another of the time-varying electricity consumption associated with a load or the time-varying electricity production associated with a generator. Although electric utilities have been using this technique for at least two decades, its use is growing in popularity and importance. This growth is a consequence of the major changes under way in US bulk-power markets, in particular efforts to unbundle generation from transmission and to increase competition among generation providers. DS can promote competition and increase choices. It allows consumers to purchase certain services from entities outside their physical-host area and it allows generators to sell certain services to entities other than their physical host. These services include regulation (following minute-to-minute variations in load) and operating reserves, among others. Such an increase in the number of possible suppliers and customers should encourage innovation and reduce the costs and prices of providing electricity services. The purpose of the project reported here was to collect and analyze data on utility experiences with DS. Chapter 2 provides additional details and examples of the definitions of DS. Chapter 3 explains why DS might be an attractive service that customers and generators, as well as transmission providers, might wan to use. Chapter 4 presents some of the many current DS examples the authors uncovered in their interviews. Chapter 5 discusses the costs and cost-effectiveness of DS. Chapter 6 explains what they believe can and cannot be electronically moved from one control area to another, primarily in terms of the six ancillary services that FERC defined in Order 888. Chapter 7 discusses the need for additional research on DS.

Hirst, E.; Kirby, B.

1997-01-01T23:59:59.000Z

246

Semicausal operations are semilocalizable  

E-Print Network [OSTI]

We prove a conjecture by DiVincenzo, which in the terminology of Preskill et al. [quant-ph/0102043] states that ``semicausal operations are semilocalizable''. That is, we show that any operation on the combined system of Alice and Bob, which does not allow Bob to send messages to Alice, can be represented as an operation by Alice, transmitting a quantum particle to Bob, and a local operation by Bob. The proof is based on the uniqueness of the Stinespring representation for a completely positive map. We sketch some of the problems in transferring these concepts to the context of relativistic quantum field theory.

Eggeling, T; Werner, R F

2002-01-01T23:59:59.000Z

247

ALS Beamlines Directory  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered¬ČPNGExperience4AJ01) (See95TI07)Operations During the months3ALCCActivity ReportsALS

248

ALS Beamlines Directory  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered¬ČPNGExperience4AJ01) (See95TI07)Operations During the months3ALCCActivityALS

249

ALS Chemistry Lab  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered¬ČPNGExperience4AJ01) (See95TI07)Operations During theALSSafety Safety for Users ALS

250

ALS Chemistry Lab  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered¬ČPNGExperience4AJ01) (See95TI07)Operations During theALSSafety Safety for Users ALS

251

ALS Spectrum  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered¬ČPNGExperience4AJ01) (See95TI07)Operations DuringALSSpectrum Print Begun in 2007,

252

650 IEEE TRANSACTIONS ON POWER DELIVERY, VOL. 26, NO. 2, APRIL 2011 Hourly Scheduling of DC Transmission Lines in  

E-Print Network [OSTI]

Transmission Lines in SCUC With Voltage Source Converters Azim Lotfjou, Mohammad Shahidehpour, Fellow, IEEE transmission lines, se- curity-constrained unit commitment, voltage-source converters. NOMENCLATURE Index of ac;LOTFJOU et al.: HOURLY SCHEDULING OF DC TRANSMISSION LINES 651 , Vector of real and reactive power

Fu, Yong

253

Reducing Pausing at Rich-to-Lean Schedule Transitions: Effects of Variable-Ratio Schedules and Noncontingent Timeouts  

E-Print Network [OSTI]

-schedule component), which may maintain responding in the lean component when there is insufficient reinforcement. 4 General Introduction The Basic Problem: Pausing on FR Schedules Fixed-ratio (FR) schedules require that a certain number of responses occur.... In the context of a FR schedule, pausing may be considered counterproductive (or maladaptive) because it postpones the receipt of a reinforcer for a food-deprived organism. A host of variables affect pausing on FR schedules; for example, pausing increases as a...

Brewer, Adam Thornton

2012-08-31T23:59:59.000Z

254

FILM AND VIDEO COLLECTION SCHEDULING REQUEST Date: Send To: Video Scheduling  

E-Print Network [OSTI]

FILM AND VIDEO COLLECTION SCHEDULING REQUEST Date: Requestor: Send To: Video Scheduling Film and Video Collection Department University of Delaware Library (302) 831-8419 FAX (302) 831-6197 Media within seven days, please check out media at the Film and Video Collection Department Service Desk

Cakoni, Fioralba

255

Adaptive Scheduling Algorithms for Planet Searches  

E-Print Network [OSTI]

High-precision radial velocity planet searches have surveyed over ~2000 nearby stars and detected over ~200 planets. While these same stars likely harbor many additional planets, they will become increasingly challenging to detect, as they tend to have relatively small masses and/or relatively long orbital periods. Therefore, observers are increasing the precision of their observations, continuing to monitor stars over decade timescales, and also preparing to survey thousands more stars. Given the considerable amounts of telescope time required for such observing programs, it is important use the available resources as efficiently as possible. Previous studies have found that a wide range of predetermined scheduling algorithms result in planet searches with similar sensitivities. We have developed adaptive scheduling algorithms which have a solid basis in Bayesian inference and information theory and also are computationally feasible for modern planet searches. We have performed Monte Carlo simulations of plausible planet searches to test the power of adaptive scheduling algorithms. Our simulations demonstrate that planet searches performed with adaptive scheduling algorithms can simultaneously detect more planets, detect less massive planets, and measure orbital parameters more accurately than comparable surveys using a non-adaptive scheduling algorithm. We expect that these techniques will be particularly valuable for the N2K radial velocity planet search for short-period planets as well as future astrometric planet searches with the Space Interferometry Mission which aim to detect terrestrial mass planets.

Eric B. Ford

2007-12-17T23:59:59.000Z

256

Energy Consumption Scheduling in Smart Grid: A Non-Cooperative Game Approach  

E-Print Network [OSTI]

on Game- Theoretic Energy Consumption Scheduling for theIn this paper, energy consumption scheduling based on non-Energy Consumption Scheduling in Smart Grid: A Non-

Ma, Kai; Hu, Guoqiang; Spanos, Costas J

2014-01-01T23:59:59.000Z

257

Energy Consumption Scheduling in Smart Grid:A Non-Cooperative Game Approach  

E-Print Network [OSTI]

on Game- Theoretic Energy Consumption Scheduling for theIn this paper, energy consumption scheduling based on non-Energy Consumption Scheduling in Smart Grid: A Non-

Kai, Ma; Guoqiang, Hu; Spanos, Costas

2013-01-01T23:59:59.000Z

258

Energy Consumption Scheduling in Smart Grid: A Non-Cooperative Game Approach  

E-Print Network [OSTI]

on Game- Theoretic Energy Consumption Scheduling for theIn this paper, energy consumption scheduling based on non-Energy Consumption Scheduling in Smart Grid: A Non-

Kai, Ma; Guoqiang, Hu; Spanos, Costas

2013-01-01T23:59:59.000Z

259

On dynamic scheduling of a parallel server system with certain graph structure  

E-Print Network [OSTI]

Primitives 2.3 Scheduling Control . Chapter 3 Sequence ofto be mutually independent. Scheduling Control The system isand service rates and scheduling control are allowed to vary

Pesic, Vladimir N.

2011-01-01T23:59:59.000Z

260

An Online Scheduling Algorithm with Advance Reservation for Large-Scale Data Transfers  

E-Print Network [OSTI]

Flow scheduling and endpoint rate control in gridnetworks.granularity and ?ner control in scheduling with a cost ofMukherjee. Control plane for advance bandwidth scheduling in

Balman, Mehmet

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "als operating schedule" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

Space-Time Power Scheduling of MIMO LinksóFairness and QoS Considerations  

E-Print Network [OSTI]

design of link scheduling and power control. This would be aPower control, beamforming and link scheduling are alllink scheduling (temporal freedom) with MIMO power control (

Rong, Yue; Hua, Yingbo

2008-01-01T23:59:59.000Z

262

The Long Term Schedule has been  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest RegionatSearchScheduled System BurstLong Term Schedule has been temporarily

263

Confortable Performance: Retro-Commissioning Building Operations  

E-Print Network [OSTI]

troubleshooting ? New controls strategies ? Equipment schedule optimization ? Comfort improvements 7 ESL-IC-13-10-07 Proceedings of the 13th International Conference for Enhanced Building Operations, Montreal, Quebec, October 8-11, 2013 Tools ? Actuator... Operations, Montreal, Quebec, October 8-11, 2013 Example 1 ? Problem ? Monday morning ?too cold? complaints ? Solution ? Heating system start-up on Sunday at 2:00pm ? RCx Investigation ? Tenant MAU running 24x7 with no heat (space temperature...

Botan, L.

2013-01-01T23:59:59.000Z

264

Western Baldwin County, AL Grid Interconnection Project  

SciTech Connect (OSTI)

The Objective of this Project was to provide an additional supply of electricity to the affected portions of Baldwin County, AL through the purchase, installation, and operation of certain substation equipment.

Thomas DeBell

2011-09-30T23:59:59.000Z

265

Optimization models for improving periodic maintenance schedules by utilizing opportunities  

E-Print Network [OSTI]

to this as preventive maintenance activities at an oppor- tunity. The original opportunistic replacement problemOptimization models for improving periodic maintenance schedules by utilizing opportunities Torgny of Technology Abstract We present mathematical models for finding optimal opportunistic maintenance schedules

Patriksson, Michael

266

University at Buffalo (SUNY) Department of Industrial Engineering Scheduling Theory  

E-Print Network [OSTI]

University at Buffalo (SUNY) Department of Industrial Engineering IE 661 Scheduling Theory Chapter 1 Rakesh Nagi Department of Industrial Engineering University at Buffalo (SUNY) #12;University at Buffalo (SUNY) Department of Industrial Engineering Chapter 1: Introduction Role of Scheduling Allocation

Nagi, Rakesh

267

Department of Engineering Science REQUEST TO SCHEDULE DESIGN PROJECT PRESENTATION  

E-Print Network [OSTI]

Department of Engineering Science REQUEST TO SCHEDULE DESIGN PROJECT PRESENTATION Notes: 1. Before a student's design project presentation can be scheduled, the student must certify that the following steps. ----------------------------------------------------------------------------------------------------------- Student's name:_________________________________________________________ Design Project title

Ravikumar, B.

268

Incremental temporal reasoning in job shop scheduling repair  

E-Print Network [OSTI]

A working predictive schedule can be useless because of the various external or internal disruptions in a job shop. Total rescheduling may cause problems such as shop floor nervousness. Thus, the job shop scheduling repair ...

Huang, Y.

269

Evaluating the robustness of crew schedules for rail transit systems  

E-Print Network [OSTI]

Crew scheduling has traditionally been the last step in the process of service planning, and it has traditionally aimed at minimizing manpower costs because it was assumed that the crew schedule does not directly impact ...

Ravichandran, Harshavardhan

2013-01-01T23:59:59.000Z

270

Airline fleet assignment and schedule design : integrated models and algorithms  

E-Print Network [OSTI]

In scheduled passenger air transportation, airline profitability is critically influenced by the airline's ability to construct flight schedules containing flights at desirable times in profitable markets. In this dissertation, ...

Lohatepanont, Manoj, 1974-

2002-01-01T23:59:59.000Z

271

Order Acceptance and Scheduling Problem in Two-machine Flow ...  

E-Print Network [OSTI]

Jul 29, 2014 ... Order Acceptance and Scheduling Problem in Two-machine Flow Shops: New Mixed Integer Programming Formulations.

Rasul Esmaeilbeigi

2014-07-29T23:59:59.000Z

272

Measurement Scheduling for Soil Moisture Sensing  

E-Print Network [OSTI]

energy consumption is presented; the paper is grounded in the physics of soil moisture. By David I Shuman off some inaccuracy in estimating soil moisture evolution for a significant reduction in energyINVITED P A P E R Measurement Scheduling for Soil Moisture Sensing: From Physical Models to Optimal

Mahajan, Aditya

273

ROBUSTNESS MEASURE FOR FUZZY MAINTENANCE ACTIVITIES SCHEDULE  

E-Print Network [OSTI]

activities: the preventive maintenance, whose activities can be long term planned, and the correctiveROBUSTNESS MEASURE FOR FUZZY MAINTENANCE ACTIVITIES SCHEDULE François MARMIER , Christophe VARNIER. Especially in the field of maintenance services where the different practical knowledge or skills

Paris-Sud XI, Université de

274

Dynamic Scheduling of Maintenance Activities Under Uncertainties  

E-Print Network [OSTI]

of the required treatment. There are mainly two types of maintenance activities: the preventive maintenance, whoseDynamic Scheduling of Maintenance Activities Under Uncertainties Fran¬łcois Marmier, Christophe in maintenance services field where the different practical knowledges or skills are their working tools. We

Paris-Sud XI, Université de

275

High Noon Lecture Series 2012 Fall Schedule  

E-Print Network [OSTI]

signed the Affordable Care Act into law. Some health insurance reforms have already taken place at how important arenas of constitutional law, from health care reform to abortion to affirmative actionHigh Noon Lecture Series 2012 Fall Schedule September 19 "Deciphering the Affordable Care Act" Glen

276

PND TAD SchedulerSemantic Translation  

E-Print Network [OSTI]

#12;PND TAD SchedulerSemantic Translation Synthesis Algorithm Property Figure 1. The framework. 2 music video audio applet music text applet music text video audio picture picture music Figure 7. TAD card specification trans- lated into a TAD. ready and smiley photo done start xmast xmasm and dummy1

Sifakis, Joseph

277

Energy Conscious Scheduling Johnatan E. Pecero  

E-Print Network [OSTI]

Energy Conscious Scheduling Johnatan E. Pecero University of Luxembourg January 18, 2012 Green Days of Luxembourg Friday, January 20, 2012 #12;Johnatan E. Pecero Green Approaches · Hardware approach ­ Energy, microsoft) 9 Friday, January 20, 2012 #12;Johnatan E. Pecero Green Approaches · Hardware approach ­ Energy

Lefèvre, Laurent

278

Modeling Resources for Activity Coordination and Scheduling  

E-Print Network [OSTI]

Modeling Resources for Activity Coordination and Scheduling Rodion M. Podorozhny , Barbara Staudt describes experience in applying a resource man- agement system to problems in two areas of agent and activity coordi- nation. In the paper we argue that precise speci cation of resources is important

Massachusetts at Amherst, University of

279

Modeling Resources for Activity Coordination and Scheduling  

E-Print Network [OSTI]

Modeling Resources for Activity Coordination and Scheduling Rodion M. Podorozhny , Barbara Staudt describes experience in applying a resource man≠ agement system to problems in two areas of agent and activity coordi≠ nation. In the paper we argue that precise specification of resources is important

Massachusetts at Amherst, University of

280

Optimal investment and scheduling of distributed energy resources with uncertainty in electric vehicles driving schedules  

SciTech Connect (OSTI)

The large scale penetration of electric vehicles (EVs) will introduce technical challenges to the distribution grid, but also carries the potential for vehicle-to-grid services. Namely, if available in large enough numbers, EVs can be used as a distributed energy resource (DER) and their presence can influence optimal DER investment and scheduling decisions in microgrids. In this work, a novel EV fleet aggregator model is introduced in a stochastic formulation of DER-CAM [1], an optimization tool used to address DER investment and scheduling problems. This is used to assess the impact of EV interconnections on optimal DER solutions considering uncertainty in EV driving schedules. Optimization results indicate that EVs can have a significant impact on DER investments, particularly if considering short payback periods. Furthermore, results suggest that uncertainty in driving schedules carries little significance to total energy costs, which is corroborated by results obtained using the stochastic formulation of the problem.

Center for Energy and Innovative Technologies; NEC Laboratories America Inc.; Cardoso, Goncalo; Stadler, Michael; Bozchalui, Mohammed C.; Sharma, Ratnesh; Marnay, Chris; Barbosa-Povoa, Ana; Ferrao, Paulo

2013-10-27T23:59:59.000Z

Note: This page contains sample records for the topic "als operating schedule" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

A New I/O Scheduler for Solid State Devices  

E-Print Network [OSTI]

parameters of solid state drives. Using the information from the parameter extraction, we present a new I/O scheduler design which utilizes the structure of solid state devices to efficiently schedule writes. The new scheduler, implemented on a 2.6 Linux...

Dunn, Marcus P.

2010-10-12T23:59:59.000Z

282

ON THE CONFIGURATION-LP FOR SCHEDULING ON UNRELATED MACHINES  

E-Print Network [OSTI]

ON THE CONFIGURATION-LP FOR SCHEDULING ON UNRELATED MACHINES JOS√? VERSCHAE AND ANDREAS WIESE Abstract. One of the most important open problems in machine scheduling is the problem of scheduling a set of jobs on unrelated machines to minimize the makespan. The best known approximation algorithm

Nabben, Reinhard

283

Simultaneous Cyclic Scheduling and Control of a Multiproduct CSTR Reactor  

E-Print Network [OSTI]

Simultaneous Cyclic Scheduling and Control of a Multiproduct CSTR Reactor Antonio Flores;Abstract In this work we propose a scheduling and control formulation for simultaneously addressing scheduling and control problems by explicitly incorporating process dy- namics in the form of system

Grossmann, Ignacio E.

284

Opportunistic Scheduling for utility maximization under QoS constraints  

E-Print Network [OSTI]

1 Opportunistic Scheduling for utility maximization under QoS constraints Neung-Hyung Lee, Jin. Our opportunistic scheduling aims at maximizing the utility which is usually expressed as a function of user throughput. In this paper we derive an off-line optimal scheduling policy by optimization theory

Bahk, Saewoong

285

Scope for industrial applications of production scheduling models and  

E-Print Network [OSTI]

Computers and Chemical Engineering 62 (2014) 161­ 193 © ABB Group March 18, 2014 | Slide 2 #12 learned and success stories on real industrial scheduling implementations General guidelines and examples and scheduling © ABB Group March 18, 2014 | Slide 5 #12;Where is scheduling "located" Traditional system

Grossmann, Ignacio E.

286

Utility Accrual Real-Time Scheduling for Multiprocessor Embedded Systems  

E-Print Network [OSTI]

Utility Accrual Real-Time Scheduling for Multiprocessor Embedded Systems Hyeonjoong Cho a Binoy We present the first Utility Accrual (or UA) real-time scheduling algorithm for mul- tiprocessors, called global Multiprocessor Utility Accrual scheduling algorithm (or gMUA). The algorithm considers

Ravindran, Binoy

287

Energy-aware scheduling under reliability and makespan constraints  

E-Print Network [OSTI]

Energy-aware scheduling under reliability and makespan constraints Guillaume Aupy, Anne Benoit and complementary. I. INTRODUCTION Energy-aware scheduling has proven an important issue in the past decade, both this interval at speed f. Energy-aware scheduling aims at minimizing the energy consumed during the execution

Paris-Sud XI, Universitť de

288

Energy-aware scheduling: models and complexity results  

E-Print Network [OSTI]

Energy-aware scheduling: models and complexity results Guillaume Aupy (1st year PhD student) LIP several energy-aware scheduling algorithms whose design is optimized for different speed models. Dynamic plans. I. INTRODUCTION Energy-aware scheduling has proven an important issue in the past decade, both

Paris-Sud XI, Universitť de

289

PREEMPTIVE RESUME SCHEDULING Alain Roy and Miron Livny  

E-Print Network [OSTI]

Chapter 9 CONDOR AND PREEMPTIVE RESUME SCHEDULING Alain Roy and Miron Livny Department of Computer. This introduces a number of problems, some of which are solved by Condor's preemptive resume scheduling, which is the focus of this paper. Pre- emptive resume scheduling allows jobs to be interrupted while running

Roy, Alain

290

Design and Evaluation of a Feedback Control EDF Scheduling Algorithm *  

E-Print Network [OSTI]

Design and Evaluation of a Feedback Control EDF Scheduling Algorithm * * Supported in part by NSF. In this paper, we present a feedback control real­time scheduling algorithm and its evaluation. Performance}@cs.virginia.edu, + gt9s@virginia.edu Abstract Despite the significant body of results in real­time scheduling, many real

Son, Sang H.

291

Stochastic Sensor Scheduling for Networked Control Systems Farhad Farokhi  

E-Print Network [OSTI]

Stochastic Sensor Scheduling for Networked Control Systems Farhad Farokhi and Karl H. Johansson Abstract Optimal sensor scheduling with applications to networked estimation and control systems to optimal control of Markov chains, we extract an optimal scheduling policy to fairly allocate the network

Johansson, Karl Henrik

292

Queueing-Theoretic Approaches for Dynamic Scheduling: Daria Terekhova  

E-Print Network [OSTI]

, 1999) Scheduling and control of flexible manufacturing sys- tems: a critical review (Basnet and MizeQueueing-Theoretic Approaches for Dynamic Scheduling: A Survey Daria Terekhova , Douglas G. DownbMaster University, Canada downd@mcmaster.ca Within the combinatorial scheduling community, there has been

Down, Doug

293

Constraint-based Scheduling Markus P.J. Fromherz  

E-Print Network [OSTI]

such as product assembly se- quencing. This makes constraint-based scheduling interesting to the control community planning, scheduling, and control tasks. This tutorial gives a brief introduction to constraint and reconfigurable con- trol, and the integration of various planning, scheduling, and control tasks

Fromherz, Markus P.J.

294

The Control of Burstiness in Fair Queueing Scheduling Liat Ashkenazi  

E-Print Network [OSTI]

The Control of Burstiness in Fair Queueing Scheduling Liat Ashkenazi and Hanoch Levy School to other scheduling algorithms. Those algorithms, in contrast, are subject to the burstiness problem. This paper studies the issue of bursty transmission in packet scheduling algo- rithms. We propose the Burst

Levy, Hanoch

295

Design of Gain-Scheduled Strictly Positive Real Controllers  

E-Print Network [OSTI]

Design of Gain-Scheduled Strictly Positive Real Controllers Using Numerical Optimization the linear SPR controllers, which compose the gain-scheduled controller. Second, we formulate the optimization problem associ- ated with the gain-scheduled controller itself. Restricting our in- vestigation

Damaren, Christopher J.

296

Energy Efficient Scheduling with Power Control for Wireless Networks  

E-Print Network [OSTI]

Energy Efficient Scheduling with Power Control for Wireless Networks Bastian Katz Institute the complexity of scheduling with power control in the SINRG model of interference. Based on a novel scheme) and less energy consumption: power control admits schedules that would otherwise violate interference

Paris-Sud XI, Université de

297

Feedback Control RealTime Scheduling: Framework, Modeling, and Algorithms *  

E-Print Network [OSTI]

1 Feedback Control Real­Time Scheduling: Framework, Modeling, and Algorithms * Chenyang Lu John A}@virginia.edu Abstract This paper presents a feedback control real­time scheduling (FCS) framework for adaptive real. In particular, we establish a dynamic model and performance analysis of several feedback control scheduling

Son, Sang H.

298

Multichannel Scheduling and Its Connection to Queueing Network Control Problem  

E-Print Network [OSTI]

Multichannel Scheduling and Its Connection to Queueing Network Control Problem Pouya Tehrani , Qing scheduling problem and a closed queueing network control problem which is known to be EXP-complete, we obtain {potehrani,qzhao}@ucdavis.edu Abstract--We consider the multichannel scheduling problem where the data rate

Islam, M. Saif

299

Computing Schedules for Time-Triggered Control using Genetic Algorithms  

E-Print Network [OSTI]

Computing Schedules for Time-Triggered Control using Genetic Algorithms Truong Nghiem Georgios E scheduling problem for timed-triggered controllers (OSTTC) and the time complexity of the corresponding search. Keywords: Scheduling; Digital control; Genetic algorithms; 1. INTRODUCTION Digital control theory

Fainekos, Georgios E.

300

Scheduling and Feedback Co-Design for Networked Control Systems  

E-Print Network [OSTI]

Scheduling and Feedback Co-Design for Networked Control Systems Michael S. Branicky,1 Stephen M mes- sages are transmitted). In the past, control system design and CPU scheduling or network scheduling design have normally been sepa- rated. This separation has allowed the control commu- nity

Branicky, Michael S.

Note: This page contains sample records for the topic "als operating schedule" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

A Cooperative Approach for Job Shop Scheduling under Uncertainties  

E-Print Network [OSTI]

control, consists to use a two-level resolution scheme: an off-line scheduling level builds upA Cooperative Approach for Job Shop Scheduling under Uncertainties C. BRIANDa,1 , S. OURARIb and B on job shop scheduling problems in a cooperative environment. Unlike classical deterministic approaches

Briand, Cyril

302

A QUALITY CONTROL FRAMEWORK FOR BUS SCHEDULE RELIABILITY  

E-Print Network [OSTI]

A QUALITY CONTROL FRAMEWORK FOR BUS SCHEDULE RELIABILITY JIE LIN*, University of Illinois Institute A QUALITY CONTROL FRAMEWORK FOR BUS SCHEDULE RELIABILITY Abstract This paper develops and demonstrates a quality control framework for bus schedule reliability. Automatic Vehicle Location (AVL) devices

Illinois at Chicago, University of

303

Feedback Control Real-Time Scheduling: Framework, Modeling, and Algorithms*  

E-Print Network [OSTI]

1 Feedback Control Real-Time Scheduling: Framework, Modeling, and Algorithms* Chenyang Lu John A}@virginia.edu Abstract This paper presents a feedback control real-time scheduling (FCS) framework for adaptive real. In particular, we establish a dynamic model and performance analysis of several feedback control scheduling

Son, Sang H.

304

ALS Evidence Confirms Combustion Theory  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered¬ČPNGExperience4AJ01) (See95TI07)Operations DuringALS Doctoral Fellowship inALS

305

ALS Scientific Advisory Committee Charter  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered¬ČPNGExperience4AJ01) (See95TI07)Operations DuringALS DoctoralALS Reveals

306

ALS Scientific Advisory Committee Charter  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered¬ČPNGExperience4AJ01) (See95TI07)Operations DuringALS DoctoralALS RevealsScientific

307

ALS Scientific Advisory Committee Charter  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered¬ČPNGExperience4AJ01) (See95TI07)Operations DuringALS DoctoralALS

308

SPACE PLANNING & OPERATIONS UNIVERSITY OF PENNSYLVANIA SCHOOL OF MEDICINE  

E-Print Network [OSTI]

SPACE PLANNING & OPERATIONS UNIVERSITY OF PENNSYLVANIA SCHOOL OF MEDICINE Policy & Procedure a centralized scheduling system managed by Space Planning & Operations (SPO) with the intention of maximizing use of available space to meet educational space demands. Purpose: The purpose of this policy

Bushman, Frederic

309

Process for Scheduling Electives The Student Affairs/MSP Office collects core clerkship scheduling requests from rising M-3 and  

E-Print Network [OSTI]

rotations for this time and have no control over other schools' scheduling processes. wwwUICOM - UC Process for Scheduling Electives The Student Affairs/MSP Office collects core clerkship scheduling requests from rising M-3 and M-4 students. Individual clinical departments arrange other

Gilbert, Matthew

310

Abstract--A simple method is presented to reduce the number of scheduling parameters for gain-scheduled  

E-Print Network [OSTI]

to a zero- parameter or LTI controller design problem in the dimensionless domain. The dimensionless gain-scheduling. Index Terms--Gain scheduling, gantry control, pi theorem, dimensionless parameters, nondimensional representation I. INTRODUCTION AIN scheduling is a popular method to control systems whose linearized model

Brennan, Sean

311

Reliability Driven Task Scheduling for Heterogeneous Systems Yi He, Zili Shao, Bin Xiao, Qingfeng Zhuge, Edwin Sha  

E-Print Network [OSTI]

Reliability Driven Task Scheduling for Heterogeneous Systems Yi He, Zili Shao, Bin Xiao, Qingfeng plant safe operations, etc., an important research problem is how to maximize system reliability while the heterogeneity of a system and satisfy both the reliability requirement and the given time constraint

Sha, Edwin

312

Integrated test schedule for buried waste integrated demonstration  

SciTech Connect (OSTI)

The Integrated Test Schedule incorporates the various schedules the Buried Waste Integrated Demonstration (BWID) supports into one document. This document contains the Federal Facilities Agreement and Consent Order schedules for the Idaho National Engineering Laboratory, Hanford Reservation, Oak Ridge Reservation, and Fernald Environmental Materials Center. Included in the Integrated Test Schedule is the Buried Waste Integrated Demonstration ``windows of opportunity`` schedule. The ``windows of opportunity`` schedule shows periods of time in which Buried Waste Integrated Demonstration Program-sponsored technology demonstrations could support key decisions in the Federal Facilities Agreement and Consent Order. Schedules for the Buried Waste Integrated Demonstration-sponsored technology task plans are categorized by technology area and divided by current fiscal year and out-year. Total estimated costs for Buried Waste Integrated Demonstration-sponsored Technology Task Plans for FY-92 through FY-97 are $74.756M.

Brown, J.T.; McDonald, J.K.

1992-05-01T23:59:59.000Z

313

Integrated test schedule for buried waste integrated demonstration  

SciTech Connect (OSTI)

The Integrated Test Schedule incorporates the various schedules the Buried Waste Integrated Demonstration (BWID) supports into one document. This document contains the Federal Facilities Agreement and Consent Order schedules for the Idaho National Engineering Laboratory, Hanford Reservation, Oak Ridge Reservation, and Fernald Environmental Materials Center. Included in the Integrated Test Schedule is the Buried Waste Integrated Demonstration windows of opportunity'' schedule. The windows of opportunity'' schedule shows periods of time in which Buried Waste Integrated Demonstration Program-sponsored technology demonstrations could support key decisions in the Federal Facilities Agreement and Consent Order. Schedules for the Buried Waste Integrated Demonstration-sponsored technology task plans are categorized by technology area and divided by current fiscal year and out-year. Total estimated costs for Buried Waste Integrated Demonstration-sponsored Technology Task Plans for FY-92 through FY-97 are $74.756M.

Brown, J.T.; McDonald, J.K.

1992-05-01T23:59:59.000Z

314

Robust optimization of dose schedules in radiotherapy  

E-Print Network [OSTI]

A major difficulty of choosing an optimal radiation schedule is the uncertainty of model parameters due to geometric and patient specific uncertainties. This paper proposes a method for determining the optimal fractionation schedule in the Linear Quadratic (LQ) model with multiple normal tissue toxicity constraints in the presence of uncertainties in model parameters. To this end, we assumed uncertainty in the LQ model can take two forms: (i) estimation errors for parameters of constant but unknown value, and (ii) stochasticity of random variables. For the unknown parameters, we formulated our problem as a conservative model whose solution is immune to the parameter drifts. When the underlying distributions of uncertain parameters are known, we developed a model which required the decision maker to specify a probability that determined the feasibility of normal tissues constraints and risk factor in the objective function. We proved that our problem can be solved efficiently through a decision variable transf...

Badri, Hamidreza; Leder, Kevin

2015-01-01T23:59:59.000Z

315

Adaptable search neighborhoods for Resource Constrained Scheduling  

E-Print Network [OSTI]

dispatching rule. When evaluating the merit of the schedule associated with (L, p), the original data set, ps, is usecl. Three msiu advantages result from the use of these new search spaces. First, problem specific knowledge is incorporated into the search...) dispatching if the perfcrmance is based on completion times (makespsn. or f. . 'ow-tirres), or use earliest-due-date (EDD) dispatching if the performance is due-dste based (tardiness). In order to illustrate the implementation of these concepts, examples...

Balakrishnan, Ramamoorthy

1993-01-01T23:59:59.000Z

316

Hanford Site Environmental Surveillance Master Sampling Schedule  

SciTech Connect (OSTI)

Environmental surveillance of the Hanford Site and surrounding areas is conducted by Pacific Northwest National Laboratory (PNNL) for the U.S. Department of Energy (DOE). Sampling is conducted to evaluate levels of radioactive and nonradioactive pollutants in the Hanford environs. The document contains the CY 2002 schedules for the routine collection of samples for the Surface Environmental Surveillance Project (SESP) and Drinking Water Monitoring Project.

Bisping, Lynn E.

2002-01-16T23:59:59.000Z

317

E-Print Network 3.0 - automate complex operations Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

and Ecology ; Engineering Page: << < 1 2 3 4 5 > >> Page: << < 1 2 3 4 5 > >> 21 Operator Scheduling Strategies in Supervisory Control of Multiple UAVs M.L. Cummings* Summary:...

318

Scheduling in an Energy Cost Aware Environment The energy cost aware scheduling problem (ECASP) is concerned with variable electricity tariffs, where the price of  

E-Print Network [OSTI]

Scheduling in an Energy Cost Aware Environment The energy cost aware scheduling problem (ECASP) is concerned with variable electricity tariffs, where the price of electricity changes over time depending because a schedule without considering variable energy charges might significantly increase

319

Presentations from 2nd Cryogenic Operations Workshop (CRYO 2006) , May 9-11, 2006, Menlo Park, California  

SciTech Connect (OSTI)

This workshop covered the latest practical engineering and operational management applications and techniques that have been found to enhance operational costs, reliability, and flexibility, with topics such as establishing the optimal refrigeration design cycle and operating design points; utility management; manpower scheduling; plant control philosophy and automation; short and long term maintenance scheduling; refrigerant loss detection and control; system contamination; component reliability; and equipment technical performance issues.

Weisend, J.

2006-11-10T23:59:59.000Z

320

Online vehicle routing and scheduling with continuous vehicle tracking Proceedings for the ROADEF 2014 Conference, February 26-28 2014, Bordeaux, France  

E-Print Network [OSTI]

Online vehicle routing and scheduling with continuous vehicle tracking Proceedings for the ROADEF of vehicles using GPS devices al- lows the dispatch office to take better decisions more quickly. In particular, a vehicle can now be diverted from its current destination as soon as a perturbation occurs

Paris-Sud XI, Universitť de

Note: This page contains sample records for the topic "als operating schedule" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
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We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Department of Business Administration Samir Aziz Alaiwy Al-Abbadi  

E-Print Network [OSTI]

Department of Business Administration Samir Aziz Alaiwy Al-Abbadi P.O. Box:1 Philadelphia. Samir Aziz Alaiwy Al-Abbadi Date of Birth : 1949 Academic Qualification · B.Sc Business Administration - 1975 ­ Al- Mustansiryah University ­ Iraq · M.B.A Business Administration (Production / Operations

322

Status Report on the Development of Micro-Scheduling Software for the Advanced Outage Control Center Project  

SciTech Connect (OSTI)

The long-term viability of existing nuclear power plants (NPPs) in the United States (U.S.) is dependent upon a number of factors, including maintaining high capacity factors, maintaining nuclear safety, and reducing operating costs, particularly those associated with refueling outages. Refueling outages typically take 20-30 days, and for existing light water NPPs in the U.S., the reactor cannot be in operation during the outage. Furthermore, given that many NPPs generate between $1-1.5 million/day in revenue when in operation, there is considerable interest in shortening the length of refueling outages. Yet, refueling outages are highly complex operations, involving multiple concurrent and dependent activities that are difficult to coordinate. Finding ways to improve refueling outage performance while maintaining nuclear safety has proven to be difficult. The Advanced Outage Control Center project is a research and development (R&D) demonstration activity under the Light Water Reactor Sustainability (LWRS) Program. LWRS is a R&D program which works with industry R&D programs to establish technical foundations for the licensing and managing of long-term, safe, and economical operation of current NPPs. The Advanced Outage Control Center project has the goal of improving the management of commercial NPP refueling outages. To accomplish this goal, this INL R&D project is developing an advanced outage control center (OCC) that is specifically designed to maximize the usefulness of communication and collaboration technologies for outage coordination and problem resolution activities. This report describes specific recent efforts to develop a capability called outage Micro-Scheduling. Micro-Scheduling is the ability to allocate and schedule outage support task resources on a sub-hour basis. Micro-Scheduling is the real-time fine-tuning of the outage schedule to react to the actual progress of the primary outage activities to ensure that support task resources are optimally deployed with the least amount of delay and unproductive use of resources. The remaining sections of this report describe in more detail the scheduling challenges that occur during outages, how a Micro-Scheduling capability helps address those challenges, and provides a status update on work accomplished to date and the path forward.

Shawn St. Germain; Kenneth Thomas; Ronald Farris; Jeffrey Joe

2014-09-01T23:59:59.000Z

323

Effects of a shortened depreciation schedule on the investment costs for combined heat and power  

SciTech Connect (OSTI)

We investigate and compare several generic depreciation methods to assess the effectiveness of possible policy measures with respect to the depreciation schedules for investments in combined heat and power plants in the United States. We assess the different depreciation methods for CHP projects of various sizes (ranging from 1 MW to 100 MW). We evaluate the impact of different depreciation schedules on the tax shield, and the resulting tax savings to potential investors. We show that a shorter depreciation cycle could have a substantial impact on the cost of producing power, making cogeneration more attractive. The savings amount to approximately 6-7 percent of capital and fixed operation and maintenance costs, when changing from the current system to a 7 year depreciation scheme with switchover from declining balance to straight line depreciation. Suggestions for further research to improve the analysis are given.

Kranz, Nicole; Worrell, Ernst

2001-11-15T23:59:59.000Z

324

-and -Coordinated Al in AlC2 . A Combined  

E-Print Network [OSTI]

- and -Coordinated Al in AlC2 - and AlCSi- . A Combined Photoelectron Spectroscopy and ab Initio the structure and chemical bonding in AlC2 - and AlCSi-. AlC2 - was found to have a C2V structure whereas AlCSi- was found to be almost linear, thus establishing -coordination of Al in AlC2 - and -coordination in Al

Simons, Jack

325

AlN/Fe/AlN nanostructures for magnetooptic magnetometry  

SciTech Connect (OSTI)

AlN/Fe/AlN/Cu nanostructures with ultrathin Fe grown by sputtering on Si substrates are evaluated as probes for magnetooptical (MO) mapping of weak currents. They are considered for a laser wavelength of ??=?410?nm (3.02?eV) and operate at oblique light incidence angles, ?{sup (0)}, to enable detection of both in-plane and out-of-plane magnetization. Their performance is evaluated in terms of MO reflected wave electric field amplitudes. The maximal MO amplitudes in AlN/Fe/AlN/Cu are achieved by a proper choice of layer thicknesses. The nanostructures were characterized by MO polar Kerr effect at ?{sup (0)}???5į and longitudinal Kerr effect spectra (?{sup (0)}?=?45į) at photon energies between 1 and 5?eV. The nominal profiles were refined using a model-based analysis of the spectra. Closed form analytical expressions are provided, which are useful in the search for maximal MO amplitudes.

LiökovŠ-JakubisovŠ, E., E-mail: liskova@karlov.mff.cuni.cz; Viö?ovskż, ä. [Faculty of Mathematics and Physics, Charles University in Prague, Ke Karlovu 5, 12116 Prague 2 (Czech Republic); äirokż, P.; Hrabovskż, D.; Piötora, J. [Nanotechnology Center, Technical University of Ostrava, 17. listopadu 15/2172, 70833 Ostrava Poruba (Czech Republic); Harward, I.; Celinski, Z. [Center for Magnetism and Magnetic Nanostructures, University of Colorado at Colorado Springs, 1420 Austin Bluffs Pkwy., Colorado Springs, Colorado 80918 (United States)

2014-05-07T23:59:59.000Z

326

Single-Machine Two-Agent Scheduling Problems with ...  

E-Print Network [OSTI]

Jan 24, 2014 ... Abstract: We address a class of deterministic scheduling problems in which two agents compete for the usage of a single machine. The agents†...

Gaia Nicosia

2014-01-24T23:59:59.000Z

327

A hybrid Lagrangean metaheuristic for single machine scheduling ...  

E-Print Network [OSTI]

Aug 8, 2014 ... A hybrid Lagrangean metaheuristic for single machine scheduling problem with sequence-dependent setup times and due dates.

Thiago Henrique Nogueira

2014-08-08T23:59:59.000Z

328

Security Improvements Project Completed Ahead of Schedule, $20...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Field Offices Welcome to the NNSA Production Office NPO News Releases Security Improvements Project Completed Ahead of Schedule, ... Security Improvements Project Completed...

329

15-Minute Scheduling Begins October 21st - October 16, 2014  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

CommitteesTeams Customer Training Interconnection Notices Rates Standards of Conduct Tariff TF Web Based Training Notice: 15-Minute Scheduling Begins October 21st Posted Date:...

330

Robust optimization based self scheduling of hydro-thermal Genco ...  

E-Print Network [OSTI]

Dec 29, 2013 ... Abstract: This paper proposes a robust optimization model for optimal self scheduling of a hydro-thermal generating company. The proposed†...

Alireza Soroudi

2013-12-29T23:59:59.000Z

331

Optimization Online - Optimal Job Scheduling with Day-ahead Price ...  

E-Print Network [OSTI]

Aug 17, 2011 ... Optimal Job Scheduling with Day-ahead Price and Random Local Distributed Generation: A Two-stage Robust Approach.

Anna Danandeh

2011-08-17T23:59:59.000Z

332

Optimization Online - Stochastic Real-Time Scheduling of Wind ...  

E-Print Network [OSTI]

Jan 3, 2015 ... Stochastic Real-Time Scheduling of Wind-thermal Generation Units in an Electric Utility. Alireza Soroudi (alireza.soroudi ***at*** ucd.ie)

Alireza Soroudi

2015-01-03T23:59:59.000Z

333

Water pollution Control Permit Fee Schedules (West Virginia)  

Broader source: Energy.gov [DOE]

This rule establishes schedules of permit application fees and annual permit fees for state water pollution control permits and national pollutant discharge elimination system permits issued by the...

334

Y-12 Finishes Initial HEUMF Loading Ahead of Schedule | National...  

National Nuclear Security Administration (NNSA)

Home Field Offices Welcome to the NNSA Production Office NPO News Releases Y-12 Finishes Initial HEUMF Loading Ahead of Schedule Y-12 Finishes Initial HEUMF Loading...

335

Proposal Submittal and Scheduling Procedures for Research | Stanford...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Proposal Submittal and Scheduling Procedures for Research New Proposals Standard GU Proposals Instructions for New Standard Proposals (Not LOI or Rapid Access) Tips for How to Wow...

336

POLICY GUIDANCE MEMORANDUM #32A Schedule A Appointments of Persons...  

Energy Savers [EERE]

A Appointments of Persons with Disabilities and Appointments for Disabled Veterans POLICY GUIDANCE MEMORANDUM 32A Schedule A Appointments of Persons with Disabilities and...

337

On a resource-constrained scheduling problem with application to ...  

E-Print Network [OSTI]

This paper is devoted to the study of a resource-constrained scheduling ..... account and that an assessment of the impact of such constraints on distributed.

338

ADMINISTRATIVE RECORDS SCHEDULE 2: PAYROLL AND PAY ADMINISTRATION...  

Broader source: Energy.gov (indexed) [DOE]

: PAYROLL AND PAY ADMINISTRATION RECORDS ADMINISTRATIVE RECORDS SCHEDULE 2: PAYROLL AND PAY ADMINISTRATION RECORDS Payrolling and pay administration records pertain to the...

339

ADMINISTRATIVE RECORDS SCHEDULE 2: PAYROLL AND PAY ADMINISTRATION...  

Broader source: Energy.gov (indexed) [DOE]

2: PAYROLL AND PAY ADMINISTRATION RECORDS-Revision 2 ADMINISTRATIVE RECORDS SCHEDULE 2: PAYROLL AND PAY ADMINISTRATION RECORDS-Revision 2 Payrolling and pay administration records...

340

Simulation Optimization for the Stochastic Economic Lot Scheduling ...  

E-Print Network [OSTI]

constant functions as well as control policies that can be described by a small set ... We address the problem of scheduling production of multiple products on a†...

2012-01-12T23:59:59.000Z

Note: This page contains sample records for the topic "als operating schedule" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

Fast Approximations for Online Scheduling of Outpatient Procedure ...  

E-Print Network [OSTI]

Jun 18, 2014 ... Tuza (1999) on online algorithms for machine scheduling with extendable work time. Based on a fixed ...... control and stochastic programming.

2014-06-18T23:59:59.000Z

342

FLEX TIME (ALTERNATIVE WORK SCHEDULE) REQUEST EMPLOYEE INFORMATION  

E-Print Network [OSTI]

(Hours) Proposed Alternative Work Schedule (Hours) Days On-Site Off-Site On-Site Off-Site Monday Tuesday

Dasgupta, Dipankar

343

Pantex Plant Achieves Key Safety Milestone Ahead of Schedule...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Achieves Key Safety Milestone Ahead of Schedule | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing the Stockpile Preventing...

344

High School Schedule | The Ames Laboratory  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-SeriesFlickr FlickrGuidedCH2M HILLAdministration |BasicResolution,Schedule

345

Energy Exchange Schedule | Department of Energy  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Year in Review: TopEnergyIDIQBusinessin Jamaica, N.Y.EnergyDepartment ofSchedule Energy

346

Work Schedules | National Nuclear Security Administration  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered energy consumption byAbout PrintableBlenderWhatFellowsWood and4213Work Schedules |

347

2007 Wholesale Power Rate Case Initial Proposal : 2007 Wholesale Power Rate Schedule and General Rate Schedule Provisions.  

SciTech Connect (OSTI)

This schedule is available for the contract purchase of Firm Power to be used within the Pacific Northwest (PNW). Priority Firm (PF) Power may be purchased by public bodies, cooperatives, and Federal agencies for resale to ultimate consumers, for direct consumption, and for Construction, Test and Start-Up, and Station Service. Rates in this schedule are in effect beginning October 1, 2006, and apply to purchases under requirements Firm Power sales contracts for a three-year period. The Slice Product is only available for public bodies and cooperatives who have signed Slice contracts for the FY 2002-2011 period. Utilities participating in the Residential Exchange Program (REP) under Section 5(c) of the Northwest Power Act may purchase Priority Firm Power pursuant to the Residential Exchange Program. Rates under contracts that contain charges that escalate based on BPA's Priority Firm Power rates shall be based on the three-year rates listed in this rate schedule in addition to applicable transmission charges. This rate schedule supersedes the PF-02 rate schedule, which went into effect October 1, 2001. Sales under the PF-07 rate schedule are subject to BPA's 2007 General Rate Schedule Provisions (2007 GRSPs). Products available under this rate schedule are defined in the 2007 GRSPs. For sales under this rate schedule, bills shall be rendered and payments due pursuant to BPA's 2007 GRSPs and billing process.

United States. Bonneville Power Administration.

2005-11-01T23:59:59.000Z

348

Module 4Module 4 CPU SchedulingCPU Scheduling Reading: Chapter 5Reading: Chapter 5Reading: Chapter 5Reading: Chapter 5  

E-Print Network [OSTI]

to execute, and then give the control to it If we want efficient resource utilization, we need CPU scheduling preemptive scheduling? DispatcherDispatcher Dispatcher module gives control of the CPU to the process1 Module 4Module 4 ­­ CPU SchedulingCPU Scheduling Reading: Chapter 5Reading: Chapter 5Reading

Stojmenovic, Ivan

349

ALS Reveals New State of Matter  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered¬ČPNGExperience4AJ01) (See95TI07)Operations DuringALS DoctoralALS Reveals NewALS

350

Optimization of Preventive Maintenance Scheduling in Semiconductor Manufacturing Models Using a Simulation-Based Approximate  

E-Print Network [OSTI]

Optimization of Preventive Maintenance Scheduling in Semiconductor Manufacturing Models Using Dynamic Programming (ADP) approach for the optimization of Preventive Maintenance (PM) scheduling schedules. I. INTRODUCTION In semiconductor manufacturing systems, or fabs, pre- ventive maintenance (PM

Fernandez, Emmanuel

351

2012-05-30 GAO-12-120G GAO schedule assessment guide - best practices...  

Energy Savers [EERE]

2-05-30 GAO-12-120G GAO schedule assessment guide - best practices for project schedules vexposure draft 2012-05-30 GAO-12-120G GAO schedule assessment guide - best practices for...

352

Achieving Queue-Length Stability Through Maximal Scheduling in Wireless Networks  

E-Print Network [OSTI]

stability region; however, these scheduling strategies also require centralized control. Although [5], [6Achieving Queue-Length Stability Through Maximal Scheduling in Wireless Networks Prasanna Chaporkar through distributed scheduling in wireless networks. We consider a simple, local information based

Sarkar, Saswati

353

Power Control and Transmission Scheduling for Network Utility Maximization in Wireless Networks  

E-Print Network [OSTI]

Power Control and Transmission Scheduling for Network Utility Maximization in Wireless Networks Min power control and transmis- sion scheduling problem in wireless networks with average power constraints. Index Terms--Network utility maximization, power control, transmission scheduling, column generation I

Sharma, Vinod

354

On program restructuring, scheduling, and communication for parallel processor systems  

SciTech Connect (OSTI)

This dissertation discusses several software and hardware aspects of program execution on large-scale, high-performance parallel processor systems. The issues covered are program restructuring, partitioning, scheduling and interprocessor communication, synchronization, and hardware design issues of specialized units. All this work was performed focusing on a single goal: to maximize program speedup, or equivalently, to minimize parallel execution time. Parafrase, a Fortran restructuring compiler was used to transform programs in a parallel form and conduct experiments. Two new program restructuring techniques are presented, loop coalescing and subscript blocking. Compile-time and run-time scheduling schemes are covered extensively. Depending on the program construct, these algorithms generate optimal or near-optimal schedules. For the case of arbitrarily nested hybrid loops, two optimal scheduling algorithms for dynamic and static scheduling are presented. Simulation results are given for a new dynamic scheduling algorithm. The performance of this algorithm is compared to that of self-scheduling. Techniques for program partitioning and minimization of interprocessor communication for idealized program models and for real Fortran programs are also discussed. The close relationship between scheduling, interprocessor communication, and synchronization becomes apparent at several points in this work. Finally, the impact of various types of overhead on program speedup and experimental results are presented. 69 refs., 74 figs., 14 tabs.

Polychronopoulos, Constantine D.

1986-08-01T23:59:59.000Z

355

Optimal Maintenance Scheduling of a Gas Engine Power Plant  

E-Print Network [OSTI]

to carry out preventive maintenance at regular intervals19 . The maintenance schedule affects many short1 Optimal Maintenance Scheduling of a Gas Engine Power Plant using Generalized Disjunctive with parallel units. Gas engines are shutdown according to a regular maintenance plan that limits the number

Grossmann, Ignacio E.

356

Incentivizing Advanced Load Scheduling in Smart Homes , and David Irwin  

E-Print Network [OSTI]

Incentivizing Advanced Load Scheduling in Smart Homes Ye Xu , and David Irwin , and Prashant Shenoy Department of Electrical and Computer Engineering School of Computer Science University of Massachusetts Amherst ABSTRACT In recent years, researchers have proposed numerous advanced load scheduling algorithms

Massachusetts at Amherst, University of

357

FU, CHAO-YING Compiler-Driven Value Speculation Scheduling.  

E-Print Network [OSTI]

ABSTRACT FU, CHAO-YING Compiler-Driven Value Speculation Scheduling. (Under the direction of Prof inputs. #12;COMPILER-DRIVEN VALUE SPECULATION SCHEDULING by CHAO-YING FU A dissertation submitted of Advisory Committee Prof. Paul D. Franzon Prof. Wentai Liu Prof. Eric Rotenberg #12;ii Biography Chao-ying

Conte, Thomas M.

358

Single Machine Scheduling with a Non-renewable Financial Resource  

E-Print Network [OSTI]

Single Machine Scheduling with a Non-renewable Financial Resource Evgeny R. Gafarov a , Alexander A with a non-renewable resource. For example, money or fuel provide natural examples of such a non-renewable resource. Such problems with a non-renewable resource are also referred to as financial scheduling problems

Magdeburg, Universität

359

Physics & Astronomy Open House Schedule UH Manoa Watanabe Hall  

E-Print Network [OSTI]

Physics & Astronomy Open House Schedule UH Manoa Watanabe Hall 22 November 2014 0830 - 1245 *** Physics & Astronomy info. available at www.phys.hawaii.edu *** Welcome & Overview: Prof. Pui Lam in Physical Science 217 at 0830 ** schedules for groups 1 to 10 below for 0900-1100 ** **solar observing

360

Competitive Non-migratory Scheduling for Flow Time and Energy  

E-Print Network [OSTI]

@liv.ac.uk ABSTRACT Energy usage has been an important concern in recent re- search on online scheduling technology to reduce energy usage is dynamic speed scaling (see, e.g., [9, 15, 24, 28]) where the processorCompetitive Non-migratory Scheduling for Flow Time and Energy Tak-Wah Lam Department of Computer

Wong, Prudence W.H.

Note: This page contains sample records for the topic "als operating schedule" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

Competitive Nonmigratory Scheduling for Flow Time and Energy  

E-Print Network [OSTI]

@liv.ac.uk ABSTRACT Energy usage has been an important concern in recent re≠ search on online scheduling technology to reduce energy usage is dynamic speed scaling (see, e.g., [9, 15, 24, 28]) where the processorCompetitive Non≠migratory Scheduling for Flow Time and Energy Tak≠Wah Lam Department of Computer

Lam, Tak-Wah

362

A Meeting Scheduling System Based on Open Constraint Programming  

E-Print Network [OSTI]

- ences can be programmed using the OCP reactors language. CLP is suitable to be used in meetingA Meeting Scheduling System Based on Open Constraint Programming Kenny Qili Zhu and Andrew E a meeting scheduling system based on open constraint programming (OCP) paradigm. OCP is an extension

Zhu, Kenny Q.

363

Queue Prediction: an efficient scheduler for fast ATM cell transmission  

E-Print Network [OSTI]

Queue Prediction: an efficient scheduler for fast ATM cell transmission Peter Fenwick Department, if not impossible within the time constraints of fast ATM transmission (622 Mbps or higher). This paper presents a solution to this problem. By scheduling in advance the transmissions from queues it allows all output

Fenwick, Peter

364

Resource Minimized Static Mapping and Dynamic Scheduling of SDF Graphs  

E-Print Network [OSTI]

Resource Minimized Static Mapping and Dynamic Scheduling of SDF Graphs Jinwoo Kim, Tae-ho Shin than the previous approaches. Keywords-Mapping, buffer size minimization, SDF graph, dynamic scheduling a model-based approach based on SDF (synchronous data flow) model. Since the parallelism of an application

Ha, Soonhoi

365

GreenSlot: Scheduling Energy Consumption in Green Datacenters  

E-Print Network [OSTI]

GreenSlot: Scheduling Energy Consumption in Green Datacenters √ć√Īigo Goiri UPC/BSC and Rutgers Univ grid (as a backup). GreenSlot predicts the amount of solar energy that will be available in the near future, and schedules the workload to maximize the green energy consumption while meet- ing the jobs

366

Renewable Energy Scheduling for Fading Channels with Maximum Power Constraint  

E-Print Network [OSTI]

Renewable Energy Scheduling for Fading Channels with Maximum Power Constraint Zhe Wang Electrical--In this paper, we develop efficient algorithm to obtain the optimal energy schedule for fading channel with energy harvesting. We assume that the side information of both the channel states and energy harvesting

Greenberg, Albert

367

: A Testbed for Empirically Comparing Real-Time Multiprocessor Schedulers  

E-Print Network [OSTI]

on M processors any pe- riodic task system with total utilization at most M [2], and the global-deadline-first (EDF) scheduling, pre- emptive and nonpreemptive global EDF scheduling, and two variants of the global-real-time constraints. To our knowledge, this paper is the first attempt by anyone to compare partitioned and global

Anderson, James

368

Polynomial Time Algorithms for Minimum Energy Scheduling Philippe Baptiste1  

E-Print Network [OSTI]

algorithm for computing the minimum energy schedule when all jobs have unit length. 1 Introduction PowerPolynomial Time Algorithms for Minimum Energy Scheduling Philippe Baptiste1 , Marek Chrobak2 policies is to reduce the amount of energy consumed by computer systems while maintaining satisfactory

Chrobak, Marek

369

OPERATIONS (OPS)  

Broader source: Energy.gov (indexed) [DOE]

OPS) OBJECTIVE OPS.1 The formality and discipline of operations is adequate to conduct work safely and programs are in place to maintain this formality and discipline. (CR 13)...

370

Design operators  

E-Print Network [OSTI]

Design operators is a thesis that investigates the nature and characteristics of the design process by examining the interaction of computation with architectural design. The effects of the introduction of these media in ...

Dritsas, Stylianos, 1978-

2004-01-01T23:59:59.000Z

371

Operating Costs  

Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

This chapter is focused on capital costs for conventional construction and environmental restoration and waste management projects and examines operating cost estimates to verify that all elements of the project have been considered and properly estimated.

1997-03-28T23:59:59.000Z

372

ALS 20th Anniversary Celebration  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered¬ČPNGExperience4AJ01) (See95TI07)Operations During the months3ALCC PastALPES20thALS

373

ALS Doctoral Fellowship in Residence  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered¬ČPNGExperience4AJ01) (See95TI07)Operations DuringALS Doctoral Fellowship in

374

ALS Evidence Confirms Combustion Theory  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered¬ČPNGExperience4AJ01) (See95TI07)Operations DuringALS Doctoral Fellowship inALSALS

375

ALS Evidence Confirms Combustion Theory  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered¬ČPNGExperience4AJ01) (See95TI07)Operations DuringALS Doctoral Fellowship inALSALSALS

376

Balancing Authority Cooperation Concepts - Intra-Hour Scheduling  

SciTech Connect (OSTI)

The overall objective of this study was to understand, on an Interconnection-wide basis, the effects intra-hour scheduling compared to hourly scheduling. Moreover, the study sought to understand how the benefits of intra-hour scheduling would change by altering the input assumptions in different scenarios. This report describes results of three separate scenarios with differing key assumptions and comparing the production costs between hourly scheduling and 10-minute scheduling performance. The different scenarios were chosen to provide insight into how the estimated benefits might change by altering input assumptions. Several key assumptions were different in the three scenarios, however most assumptions were similar and/or unchanged among the scenarios.

Hunsaker, Matthew; Samaan, Nader; Milligan, Michael; Guo, Tao; Liu, Guangjuan; Toolson, Jacob

2013-03-29T23:59:59.000Z

377

TRU Waste Management Program. Cost/schedule optimization analysis  

SciTech Connect (OSTI)

This Current Year Work Plan presents in detail a description of the activities to be performed by the Joint Integration Office Rockwell International (JIO/RI) during FY86. It breaks down the activities into two major work areas: Program Management and Program Analysis. Program Management is performed by the JIO/RI by providing technical planning and guidance for the development of advanced TRU waste management capabilities. This includes equipment/facility design, engineering, construction, and operations. These functions are integrated to allow transition from interim storage to final disposition. JIO/RI tasks include program requirements identification, long-range technical planning, budget development, program planning document preparation, task guidance development, task monitoring, task progress information gathering and reporting to DOE, interfacing with other agencies and DOE lead programs, integrating public involvement with program efforts, and preparation of reports for DOE detailing program status. Program Analysis is performed by the JIO/RI to support identification and assessment of alternatives, and development of long-term TRU waste program capabilities. These analyses include short-term analyses in response to DOE information requests, along with performing an RH Cost/Schedule Optimization report. Systems models will be developed, updated, and upgraded as needed to enhance JIO/RI's capability to evaluate the adequacy of program efforts in various fields. A TRU program data base will be maintained and updated to provide DOE with timely responses to inventory related questions.

Detamore, J.A.; Raudenbush, M.H.; Wolaver, R.W.; Hastings, G.A.

1985-10-01T23:59:59.000Z

378

Al-Ca and Al-Fe metal-metal composite strength, conductivity, and microstructure relationships  

SciTech Connect (OSTI)

Deformation processed metal-metal composites (DMMCís) are composites formed by mechanical working (i.e., rolling, swaging, or wire drawing) of two-phase, ductile metal mixtures. Since both the matrix and reinforcing phase are ductile metals, the composites can be heavily deformed to reduce the thickness and spacing of the two phases. Recent studies have shown that heavily drawn DMMCs can achieve anomalously high strength and outstanding combinations of strength and conductivity. In this study, Al-Fe wire composite with 0.07, 0.1, and 0.2 volume fractions of Fe filaments and Al-Ca wire composite with 0.03, 0.06, and 0.09 volume fractions of Ca filaments were produced in situ, and their mechanical properties were measured as a function of deformation true strain. The Al-Fe composites displayed limited deformation of the Fe phase even at high true strains, resulting in little strengthening effect in those composites. Al-9vol%Ca wire was deformed to a deformation true strain of 13.76. The resulting Ca second-phase filaments were deformed to thicknesses on the order of one micrometer. The ultimate tensile strength increased exponentially with increasing deformation true strain, reaching a value of 197 MPa at a true strain of 13.76. This value is 2.5 times higher than the value predicted by the rule of mixtures. A quantitative relationship between UTS and deformation true strain was determined. X-ray diffraction data on transformation of Al + Ca microstructures to Al + various Al-Ca intermetallic compounds were obtained at the Advanced Photon Source at Argonne National Laboratory. Electrical conductivity was measured over a range of true strains and post-deformation heat treatment schedules.

Kim, Hyong June

2011-12-01T23:59:59.000Z

379

Operating Experience Level 3, Industrial Equipment Impacts Infrastructure  

Broader source: Energy.gov [DOE]

This Operating Experience Level 3 (OE-3) document provides information on a safety concern related to heavy industrial equipment that contacts and damages structures and electrical, gas, and water lines. Although these contacts did not cause injuries, the events did impact mission and schedule, divert resources, and change momentum.

380

Space Planning & Operations University of Pennsylvania School of Medicine  

E-Print Network [OSTI]

Space Planning & Operations University of Pennsylvania School of Medicine Policy & Procedure Building II/III fourteenth floor Faculty Lounge, and the criteria for reserving the Lounge Space use of the Faculty Lounge as well as scheduled use of the Lounge Space and Conference Rooms. Scope

Bushman, Frederic

Note: This page contains sample records for the topic "als operating schedule" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

Managing Uncertainty in Operational Control of Water Distribution Systems  

E-Print Network [OSTI]

Managing Uncertainty in Operational Control of Water Distribution Systems A. Bargiela Department. There are system management decisions concerning the regulatory measures such as water pricing principles, effluent in water distribution systems con- cern reservoir(s) management with associated pump scheduling

Bargiela, Andrzej

382

Hanford Site Environmental Surveillance Master Sampling Schedule for Calendar Year 2008  

SciTech Connect (OSTI)

Environmental surveillance of the Hanford Site and surrounding areas is conducted by Pacific Northwest National Laboratory for the U.S. Department of Energy. Sampling is conducted to evaluate levels of radioactive and nonradioactive pollutants in the Hanford environs, as required in DOE Order 450.1, "Environmental Protection Program," and DOE Order 5400.5, "Radiation Protection of the Public and the Environment." The environmental surveillance sampling design is described in the "Hanford Site Environmental Monitoring Plan, United States Department of Energy, Richland Operations Office." This document contains the calendar year 2008 schedule for the routine collection of samples for the Surface Environmental Surveillance Project and Drinking Water Monitoring Project. Each section includes sampling locations, sampling frequencies, sample types, and analyses to be performed. In some cases, samples are scheduled on a rotating basis. If a sample will not be collected in 2008, the anticipated year for collection is provided. Maps showing approximate sampling locations are included for media scheduled for collection in 2008.

Bisping, Lynn E.

2008-01-01T23:59:59.000Z

383

Recommendations for NRC policy on shift scheduling and overtime at nuclear power plants  

SciTech Connect (OSTI)

This report contains the Pacific Northwest Laboratory's (PNL's) recommendations to the US Nuclear Regulatory Commission (NRC) for an NRC policy on shift scheduling and hours of work (including overtime) for control room operators and other safety-related personnel in nuclear power plants. First, it is recommended that NRC make three additions to its present policy on overtime: (1) limit personnel to 112 hours of work in a 14-day period, 192 hours in 28 days, and 2260 hours in one year; exceeding these limits would require plant manager approval; (2) add a requirement that licensees obtain approval from NRC if plant personnel are expected to exceed 72 hours of work in a 7-day period, 132 hours in 14 days, 228 hours in 28 days, and 2300 hours in one year; and (3) make the policy a requirement, rather than a nonbinding recommendation. Second, it is recommended that licensees be required to obtain NRC approval to adopt a routine 12-hour/day shift schedule. Third, it is recommended that NRC add several nonbinding recommendations concerning routine 8-hour/day schedules. Finally, because additional data can strengthen the basis for future NRC policy on overtime, five methods are suggested for collecting data on overtime and its effects. 44 refs., 10 tabs.

Lewis, P.M.

1985-07-01T23:59:59.000Z

384

Mixed waste focus area integrated master schedule (current as of May 6, 1996)  

SciTech Connect (OSTI)

The mission of the Mixed Waste Characterization, Treatment, and Disposal Focus Area (MWFA) is to provide acceptable treatment systems, developed in partnership with users and with the participation of stakeholders, tribal governments, and regulators, that are capable of treating the Department of Energy`s (DOE`s) mixed wastes. In support of this mission, the MWTA produced the Mixed Waste Focus Area Integrated Technical Baseline Report, Phase I Volume 1, January 16, 1996, which identified a prioritized list of 30 national mixed waste technology deficiencies. The MWFA is targeting funding toward technology development projects that address the current list of deficiencies. A clear connection between the technology development projects and the EM-30 and EM-40 treatment systems that they support is essential for optimizing the MWFA efforts. The purpose of the Integrated Master Schedule (IMS) is to establish and document these connections and to ensure that all technology development activities performed by the MWFA are developed for timely use in those treatment systems. The IMS is a list of treatment systems from the Site Treatment Plans (STPs)/Consent Orders that have been assigned technology development needs with associated time-driven schedules, Technology deficiencies and associated technology development (TD) needs have been identified for each treatment system based on the physical, chemical, and radiological characteristics of the waste targeted for the treatment system. The schedule, the technology development activities, and the treatment system have been verified through the operations contact from the EM-30 organization at the site.

NONE

1996-05-01T23:59:59.000Z

385

E-Print Network 3.0 - aware packet scheduling Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

packets. Through simulation we show the improved performance of our scheduling algorithm... Flow N Scheduler Queues CPU Handler Packets Leaving Active Node Packets Entering...

386

E-Print Network 3.0 - appointments and schedules Sample Search...  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

students are required to schedule routine appoint-ments with their respective academic advisor. Summary: All EOFPEPCARR students are required to schedule routine appoint- ments...

387

PARS II End-of-Month Checklist and Processing Schedule | Department...  

Energy Savers [EERE]

and Processing Schedule PARS II End-of-Month Checklist and Processing Schedule Slide 1 More Documents & Publications Slide 1 PMCDPNewsletterOctober2010SHR.pdf October...

388

E-Print Network 3.0 - action scheduling tool Sample Search Results  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

Lab Collection: Computer Technologies and Information Sciences 62 DesigntoCriteria Scheduling: RealTime Agent Control ? Summary: or the Design-to-Criteria scheduler. The...

389

Crane Operation Training  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation Proposed Newcatalyst phases on &gamma;-Al2O3.Winter (Part 2) | DepartmentCrane Operational

390

Net Interchange Schedule Forecasting of Electric Power Exchange for RTO/ISOs  

SciTech Connect (OSTI)

Neighboring independent system operators (ISOs) exchange electric power to enable efficient and reliable operation of the grid. Net interchange (NI) schedule is the sum of the transactions (in MW) between an ISO and its neighbors. Effective forecasting of the amount of actual NI can improve grid operation efficiency. This paper presents results of a preliminary investigation into various methods of prediction that may result in improved prediction accuracy. The methods studied are linear regression, forward regression, stepwise regression, and support vector machine (SVM) regression. The work to date is not yet conclusive. The hope is to explore the effectiveness of other prediction methods and apply all methods to at least one new data set. This should enable more confidence in the conclusions.

Ferryman, Thomas A.; Haglin, David J.; Vlachopoulou, Maria; Yin, Jian; Shen, Chao; Tuffner, Francis K.; Lin, Guang; Zhou, Ning; Tong, Jianzhong

2012-07-26T23:59:59.000Z

391

Howes et al. Reply  

E-Print Network [OSTI]

Howes et al. Reply to Comment on "Kinetic Simulations of Magnetized Turbulence in Astrophysical Plasmas" arXiv:0711.4355

G. G. Howes; S. C. Cowley; W. Dorland; G. W. Hammett; E. Quataert; A. A. Schekochihin; T. Tatsuno

2008-12-12T23:59:59.000Z

392

Decentralised Shared Resource Constraint Scheduling with ...  

E-Print Network [OSTI]

tion about their operations to their competitors or to the power plant. ..... an input and jointly conduct a computation such as finding the sum of their individual†...

2012-08-16T23:59:59.000Z

393

Optimization Online - Distributionally robust workforce scheduling in ...  

E-Print Network [OSTI]

May 25, 2011 ... Manufacturing and Service Operations Management, 5:79-141. [18] Green, L., Kolesar, P., and Whitt, W. (2007). Coping with time-varying†...

Shuangqing Liao

2011-05-25T23:59:59.000Z

394

Solid Waste Operations Complex W-113: Project cost estimate. Preliminary design report. Volume IV  

SciTech Connect (OSTI)

This document contains Volume IV of the Preliminary Design Report for the Solid Waste Operations Complex W-113 which is the Project Cost Estimate and construction schedule. The estimate was developed based upon Title 1 material take-offs, budgetary equipment quotes and Raytheon historical in-house data. The W-113 project cost estimate and project construction schedule were integrated together to provide a resource loaded project network.

NONE

1995-01-01T23:59:59.000Z

395

Energy E#cient Online Deadline Scheduling HoLeung Chan # WunTat Chan + TakWah Lam # LapKei Lee # KinSum Mak #  

E-Print Network [OSTI]

­operated. A popular technology to reduce energy usage is to allow variable processor speed, which is commonly known that can vary its speed between 0 and a maximum speed T to minimize its energy usage (of which the rate to maximize the throughput, and fur­ thermore, its energy usage should be the smallest among all schedules

Wong, Prudence W.H.

396

Operation Poorman  

SciTech Connect (OSTI)

The objectives of Operation Poorman were to design and build a portable seismic system and to set up and use this system in a cold-weather environment. The equipment design uses current technology to achieve a low-power, lightweight system that is configured into three modules. The system was deployed in Alaska during wintertime, and the results provide a basis for specifying a mission-ready seismic verification system.

Pruvost, N.; Tsitouras, J.

1981-03-18T23:59:59.000Z

397

Operations Videos  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recoveryLaboratorySpeeding access1 TechnicalOilOnlineandOperations

398

Scheduling theory generally assumes that real-time systems are mostly composed of activities with hard  

E-Print Network [OSTI]

run on differ- ent underlying scheduling strategies. It is based on es- tablishing service contracts

Lipari, Giuseppe

399

General schedulability bound analysis and its applications in real-time systems  

E-Print Network [OSTI]

of the admitted tasks can meet its deadline. A new task will not be admitted unless it passes the schedulability test. Schedulability tests can be either direct or indirect. The utilization based schedulability test is the most common schedulability test approach...

Wu, Jianjia

2007-09-17T23:59:59.000Z

400

Multi-site Scheduling with Fuzzy Concepts Jrgen Sauer, Gerd Suelmann, and Hans-Jrgen Appelrath  

E-Print Network [OSTI]

management, job release, and production control of PPC. In most cases scheduling problems are addressedMulti-site Scheduling with Fuzzy Concepts J√ľrgen Sauer, Gerd Suelmann, and Hans-J√ľrgen Appelrath@informatik.uni-oldenburg.de Abstract The objective of multi-site scheduling is to support the scheduling activities of a global

Appelrath, Hans-J√ľrgen

Note: This page contains sample records for the topic "als operating schedule" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

On the Dual Effect in State-Based Scheduling of Networked Control Systems  

E-Print Network [OSTI]

On the Dual Effect in State-Based Scheduling of Networked Control Systems Chithrupa Ramesh, Henrik with state-based scheduling. In general, this makes the optimal scheduler and controller hard to find. However, by removing past controls from the scheduling criterion, we find that certainty equivalence holds

Johansson, Karl Henrik

402

EFFECTS OF SCHEDULING AND SPACING TOOLS ON CONTROLLERS' PERFORMANCE AND PERCEPTIONS OF THEIR WORKLOAD  

E-Print Network [OSTI]

EFFECTS OF SCHEDULING AND SPACING TOOLS ON CONTROLLERS' PERFORMANCE AND PERCEPTIONS areas. The efficient scheduling and control of aircraft from cruise to touchdown during congested the utility of air traffic control (ATC) scheduling but the theoretical advantage of a precision scheduling

403

Evaluation of Design Choices for Gang Scheduling using Distributed Hierarchical Control  

E-Print Network [OSTI]

Evaluation of Design Choices for Gang Scheduling using Distributed Hierarchical Control Dror G to control the adverse e ect of badly-matched gangs. Consequently the on-line mapping and scheduling, Israel Abstract Gang scheduling | the scheduling of a number of related threads to execute simultaneously

Feitelson, Dror

404

Thread Scheduling Mechanisms for Multiple-Context Parallel Processors  

E-Print Network [OSTI]

Scheduling tasks to efficiently use the available processor resources is crucial to minimizing the runtime of applications on shared-memory parallel processors. One factor that contributes to poor processor utilization ...

Fiske, James A. Stuart

1995-06-01T23:59:59.000Z

405

University at Buffalo (SUNY) Department of Industrial Engineering Scheduling Theory  

E-Print Network [OSTI]

University at Buffalo (SUNY) Department of Industrial Engineering IE 661 Scheduling Theory Chapter 2 Rakesh Nagi Department of Industrial Engineering University at Buffalo (SUNY) #12;University at Buffalo (SUNY) Department of Industrial Engineering Chapter 2: Deterministic Models Preliminaries

Nagi, Rakesh

406

Optimal Preemptive Scheduling for General Target Functions Leah Epstein  

E-Print Network [OSTI]

on a machine of speed s, its processing time will be w/s. A non- preemptive schedule of the jobs. This case was studied in [11, 10, 6, 12]. Liu and Y

Beimel, Amos

407

Dynamic Scheduling of Skippable Periodic Tasks: Issues and Proposals  

E-Print Network [OSTI]

-Chetto and Audrey Marchand IRCCyN, University of Nantes, Nantes, FRANCE Email: {maryline.chetto, audrey.marchand Scheduling of Skippable Periodic Tasks in Weakly-Hard Real-Time Systems," by M. Silly-Chetto, and A. Marchand

Paris-Sud XI, Université de

408

Decision support tool for dynamic workforce scheduling in manufacturing environments \\  

E-Print Network [OSTI]

Scheduling for production in manufacturing environments requires an immense amount of planning. A large number of factors such as part availability, production cost, space constraints and labor supply must be taken into ...

Malik, Radhika, M. Eng. Massachusetts Institute of Technology

2013-01-01T23:59:59.000Z

409

Time-Slotted Scheduling For Agile All-Photonic Networks  

E-Print Network [OSTI]

are Xiao Liu, Nahid Saberi, Mark Coates and Lorne Mason. This paper is in the conference proceeding of IEEE. Nahid Saberi, proposed the frame based scheduling for AAPN, and implemented the algorithm in OPNET

410

Scheduling to minimize power consumption using submodular functions  

E-Print Network [OSTI]

We develop logarithmic approximation algorithms for extremely general formulations of multiprocessor multi-interval offline task scheduling to minimize power usage. Here each processor has an arbitrary specified power ...

Zadimoghaddam, Morteza

2010-01-01T23:59:59.000Z

411

Analytic framework for TRL-based cost and schedule models  

E-Print Network [OSTI]

Many government agencies have adopted the Technology Readiness Level (TRL) scale to help improve technology development management under ever increasing cost, schedule, and complexity constraints. Many TRL-based cost and ...

El-Khoury, Bernard

2012-01-01T23:59:59.000Z

412

Figure 3. Production Schedules at Two Development Rates  

Gasoline and Diesel Fuel Update (EIA)

3. Production Schedules at Two Development Rates for the 95 Percent Probability of Recovering 5.7 Billion Barrels of Technically Recoverable Oil from the ANWR Coastal Plain of...

413

Figure 5. Production Schedules at Two Development Rates for the...  

Gasoline and Diesel Fuel Update (EIA)

5. Production Schedules at Two Development Rates for the 5 Percent Probability of Recovering 16.0 Billion Barrels of Technically Recoverable Oil from the ANWR Coastal Plain of...

414

igure 4. Production Schedules at Two Development Rates for the...  

Gasoline and Diesel Fuel Update (EIA)

4. Production Schedules at Two Development Rates for the Statistical Mean of Recovering 10.3 Billion Barrels of Technically Recoverable Oil from the ANWR Coastal Plain of Alaska...

415

POLICY GUIDANCE MEMORANDUM #32 Schedule A Apointments of Persons...  

Broader source: Energy.gov (indexed) [DOE]

Office of Personnel Management amended 5 CFR 213.3102(u) to make it easier to appoint people with certain disabilities using the Schedule A hiring authority. The new regulation...

416

A hybrid bin-packing heuristic to multiprocessor scheduling  

E-Print Network [OSTI]

A hybrid bin-packing heuristic to multiprocessor scheduling. Adriana Alvim (alvim ***at*** inf.puc-rio.br) Celso Ribeiro (celso ***at*** inf.puc-rio.br). Abstract: The†...

Adriana Alvim

417

Scheduling optimization of a real flexible job shop including side ...  

E-Print Network [OSTI]

Aug 19, 2013 ... The multitask cell at GKN Aerospace Sweden is a production cell con- ...... In order to demonstrate the effect of the squeezing procedure we solved ..... [13] J. Gao, M. Gen, L. Sun, Scheduling jobs and maintenances in flexible.

2013-08-19T23:59:59.000Z

418

Optimal Design and Scheduling of Unsteady State Material Recovery Networks  

E-Print Network [OSTI]

methodologies: the first is a hierarchical multi-step methodology developed for the design and scheduling of batch water (material of interest) recycle networks. A new source- double tank-sink arrangement is introduced to overcome the limitation of samecycle...

Rabie, Arwa H.

2010-01-14T23:59:59.000Z

419

Hanford Site Environmental Surveillance Master Sampling Schedule, January 2001  

SciTech Connect (OSTI)

This document contains the CY 2001 schedules for the routine collection of samples for the Surface Environmental Surveillance Project (SESP) and Drinking Water Monitoring Project. Each section includes sampling locations, sample types, and analyses to be performed.

Bisping, Lynn E.

2001-01-08T23:59:59.000Z

420

Gain scheduling for geometrically nonlinear flexible space structures  

E-Print Network [OSTI]

A gain-scheduling approach for the control of geometrically nonlinear structures is developed. The objective is to improve performance over current linear design techniques that are applied to the same control problem. The ...

Yung, Jeremy Hoyt, 1971-

2002-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "als operating schedule" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

Forensic Management Academy Spring 2011 Tentative Schedule Forensic Management Academy  

E-Print Network [OSTI]

Forensic Management Academy ­ Spring 2011 Tentative Schedule Forensic Management Academy Spring:00 Tour Forensic Program Facilities 4:30 ­ 7:30 Session VIII Conflict Management Joyce Heames7:00 Free

Mohaghegh, Shahab

422

Polynomial Time Algorithms for Minimum Energy Scheduling  

E-Print Network [OSTI]

The aim of power management policies is to reduce the amount of energy consumed by computer systems while maintaining satisfactory level of performance. One common method for saving energy is to simply suspend the system during the idle times. No energy is consumed in the suspend mode. However, the process of waking up the system itself requires a certain fixed amount of energy, and thus suspending the system is beneficial only if the idle time is long enough to compensate for this additional energy expenditure. In the specific problem studied in the paper, we have a set of jobs with release times and deadlines that need to be executed on a single processor. Preemptions are allowed. The processor requires energy L to be woken up and, when it is on, it uses one unit of energy per one unit of time. It has been an open problem whether a schedule minimizing the overall energy consumption can be computed in polynomial time. We solve this problem in positive, by providing an O(n^5)-time algorithm. In addition we pr...

Baptiste, Philippe; Durr, Christoph

2009-01-01T23:59:59.000Z

423

Operations Information  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 - September 2006 The 2002 WholesaleEnergy'sRunning jobsOPERATING PLANOperations

424

Application of the genetic algorithm for global scheduling and a single machine scheduling problem with periodic maintenance and semiresumable jobs  

E-Print Network [OSTI]

only between maintenance periods is met. The decision variables not only include the order of the jobs to be scheduled but now also include when the maintenance will be performed. This is not a nivial task. This thesis follows the style and format... FOR GLOBAL SCHEDULING . . . . . . . . 5 . . . . . . 7 . . . 12 17 30 1. Literature Review. . 2. Local Search Techniques . . 3. Genetic Algorithm Fundamentals . . . . . 4. Procedure. 5. Results. . 33 38 . . . 43 49 52 IV CONCLUSION . . 1...

Graves, Gregory Howard

1998-01-01T23:59:59.000Z

425

Energy Information Handbook: Applications for Energy-Efficient Building Operations  

E-Print Network [OSTI]

relating to the scheduling and control of major buildingImproved scheduling and occupant controls should beLighting controls include scheduling and some photocontrols.

Granderson, Jessica

2013-01-01T23:59:59.000Z

426

Demographic Window, H. G. Muller et al. 1 Demographic Window to Aging in the Wild: Constructing Life  

E-Print Network [OSTI]

Demographic Window, H. G. M¨uller et al. 1 Demographic Window to Aging in the Wild: Constructing for wild populations. A demographic key identity is established that leads to a method whereby age identity is established for the continuous case where the survival schedule of the wild population

M√ľller, Hans-Georg

427

ALS Reveals New State of Matter  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered¬ČPNGExperience4AJ01) (See95TI07)Operations DuringALS DoctoralALS Reveals New State

428

ALS Reveals New State of Matter  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered¬ČPNGExperience4AJ01) (See95TI07)Operations DuringALS DoctoralALS Reveals New

429

TOBUREN, MARK CHRISTOPHER. Power Analysis and Instruction Schedul-ing for Reduced di/dt in the Execution Core of High-Performance Microprocessors.  

E-Print Network [OSTI]

to a processor's average peak power dissipation is the pres- ence of high di=dt in its execution core. High-energy-cycle energy constraints. This thesis proposes a novel approach to instruction scheduling based on the con- cept of schedule slack, which builds energy e cient schedules by limiting the energy dissipated

Conte, Thomas M.

430

UCSF Class/Course SchedulingUCSF Class/Course Scheduling On-Line Resources forOn-Line Resources for  

E-Print Network [OSTI]

UCSF Class/Course SchedulingUCSF Class/Course Scheduling On-Line Resources forOn-Line ResourcesUCSF Class/Course Scheduling 1. From the Nursing Student Resources web page (http://nursing.ucsf.edu/student-resources

Klein, Ophir

431

Cognitive Radio Scheduling for Overwater Communications  

E-Print Network [OSTI]

System (AREPS) [16]. The power loss of an path over ocean on two different operating frequencies, 2.4GHz transmitting and receiving antennas are 60m. The power loss predicted by the AREPS (solid black line) oscillates about the large scale free space power loss (the red line), with extremes ranging up to 30d

Tang, Jian "Neil"

432

Proposal Submittal and Scheduling Procedures Entry Page  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 - SeptemberMicroneedles for4-16HamadaBaO/Al2O3 leanProposal Study

433

ALS Evidence Confirms Combustion Theory  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

ALS Evidence Confirms Combustion Theory ALS Evidence Confirms Combustion Theory Print Wednesday, 22 October 2014 11:43 Researchers recently uncovered the first step in the process...

434

The Case for Feedback Control RealTime Scheduling John A. Stankovic, Chenyang Lu, Sang H. Son and Gang Tao*  

E-Print Network [OSTI]

The Case for Feedback Control Real­Time Scheduling John A. Stankovic, Chenyang Lu, Sang H. Son dynamic systems. In this paper, we present a new scheduling paradigm, which we call feedback control real­time scheduling. Feedback control real­time scheduling defines error terms for schedules, monitors the error

Son, Sang H.

435

ALS in the News  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation InInformation InExplosion Monitoring:Home|PhysicsGasandArgonneALS in the News ALS in the

436

ALS in the News  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation InInformation InExplosion Monitoring:Home|PhysicsGasandArgonneALS in the News ALS in

437

Plan and schedule for disposition and regulatory compliance for miscellaneous streams. Revision 1  

SciTech Connect (OSTI)

On December 23, 1991, the U.S. Department of Energy, Richland Operations Office (RL) and the Washington State Department of Ecology (Ecology) agreed to adhere to the provisions of Department of Ecology Consent Order No. DE 91NM-177 (Consent Order). The Consent Order lists regulatory milestones for liquid effluent streams at the Hanford Site to comply with the permitting requirements of Washington Administrative Code (WAC) 173-216 (State Waste Discharge Permit Program) or WAC 173-218 (Washington Underground Injection Control Program) where applicable. Hanford Site liquid effluent streams discharging to the soil column have been categorized in the Consent Order as follows: Phase I Streams Phase II Streams Miscellaneous Streams. Phase I and Phase II Streams are addressed in two RL reports: {open_quotes}Plan and Schedule to Discontinue Disposal of Contaminated Liquids into the Soil Column at the Hanford Site{close_quotes} (DOE-RL 1987), and {open_quotes}Annual Status of the Report of the Plan and Schedule to Discontinue Disposal of Contaminated Liquids into the Soil Column at the Hanford Site{close_quotes}. Miscellaneous Streams are those liquid effluent streams discharged to the ground that are not categorized as Phase I or Phase II Streams. Miscellaneous Streams discharging to the soil column at the Hanford Site are subject to the requirements of several milestones identified in the Consent Order. This document provides a plan and schedule for the disposition of Miscellaneous Streams. The disposition process for the Miscellaneous Streams is facilitated using a decision tree format. The decision tree and corresponding analysis for determining appropriate disposition of these streams is presented in this document.

NONE

1994-12-01T23:59:59.000Z

438

Exhibit D: Mirant Potomac River Schedule of Unit Operations: Supplement 4,  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProvedDecember 2005DepartmentDecember U.S. Department of9of Energy 270:ServicesJanuary

439

Oversight Scheduling and Operational Awareness at the Savannah River Site, March 2013  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion | Department ofT ib l L d F SSales LLCDiesel Enginesthewith Rational Catalyst DesignHSS

440

LCLS Operations Schedule Jan Feb Mar Apr May Jun Jul Aug Sep  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: VegetationEquipment Surfaces and Interfaces Sample Environment: Magnet and6 th7525T HE F

Note: This page contains sample records for the topic "als operating schedule" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

Exhibit D: Mirant Potomac River Schedule of Unit Operations: Supplement 3,  

Broader source: Energy.gov (indexed) [DOE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomentheATLANTA, GA5 &of Energy memoCity of Los Angeles|HowMarch 2006 |January

442

Brambilla, et al. Reply  

E-Print Network [OSTI]

Brambilla, et al. Reply: van Megen and Williams (vMW) question our recent claim that dense colloidal hard spheres enter at large volume fraction \\phi a dynamical regime not observed in earlier work and not described by the mode-coupling theory (MCT) of the glass transition.

Giovanni Brambilla; Djamel El Masri; Matteo Pierno; Ludovic Berthier; Luca Cipelletti; George Petekidis; Andrew B. Schofield

2010-08-27T23:59:59.000Z

443

Optimal investment and scheduling of distributed energy resources with uncertainty in electric vehicles driving schedules  

E-Print Network [OSTI]

R. Firestone, ďOptimal Technology Selection and Operation ofDOE - Energy Vehicle Technologies Program. Plug-in HybridUsing vehicle-to-grid technology for frequency regulation

Cardoso, Goncalo

2014-01-01T23:59:59.000Z

444

Smith et al Supporting Information  

E-Print Network [OSTI]

Smith et al 1 Supporting Information for Smith et al. 2006, PLoS Computational Biology 2:e161-hyperpallium apicale; HF-hippocampal formation, and M-mesopallium. #12;Smith et al 2 FigureS2,nolinkswerefoundbetweenelectrodesindifferentbirds,andnolinkswerefoundintothesoundstimulusvariable. CombinedAnalysisofAllBirds'ElectrodesPlusSound #12;Smith et al 3 Analysis of Data from Subsections

Jarvis, Erich D.

445

Prioritized schedule for review of industrial safety and occupational health programs  

SciTech Connect (OSTI)

This document provides the rationale and criteria for developing a schedule for reviewing the Industrial Safety and Occupational Health programs for the Management and Operating Contractor (MOC) of the Waste Isolation Pilot Plant. The reviews will evaluate the MOC`s compliance with applicable Department of Energy (DOE) orders and regulatory requirements. The scope of this task includes developing prioritization criteria, determining the review priority of each program based upon the criteria, identifying review requirements for each program, and preparing a detailed review schedule. In keeping with the Carlsbad Area Office (CAO) structure for the review of site activities, these review activities will be addressed as surveillances, although the original basis for this requirement refers to these activities as appraisals. Surveillances and appraisals are the same within this document. Surveillances are defined as: ``The act of monitoring or observing to verify whether an item, activity, system, or process conforms to specified requirements. Surveillance of a technical work activity is normally done in real time, i.e., the surveillance is accomplished as the work is being performed.``

NONE

1996-12-01T23:59:59.000Z

446

Schedules of Key Environmental Impact Statements | Department of Energy  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administrationcontroller systems controller systemsisSchedules Schedules Print Monday, 31

447

Scheduling & Resources - Power Marketing - Sierra Nevada Region (SNR) -  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administrationcontroller systems controller systemsisSchedules Schedules Print Monday, 31Western

448

Scheduling-shutdown-2014-MEC v4 web.xlsx  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administrationcontroller systems controller systemsisSchedules Schedules Print Monday, 31WesternAug

449

Dynamic Scheduling of a Parallel Server System in Heavy Traffic with Complete Resource Pooling: Asymptotic Optimality of a  

E-Print Network [OSTI]

as the optimal cost in the Brownian control problem. Short title: Dynamic Scheduling of Parallel Servers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 2.3 Scheduling Control and Performance Measures . . . . . . . . . . . . . . . . . . . . . . . . 7Dynamic Scheduling of a Parallel Server System in Heavy Traffic with Complete Resource Pooling

450

Iannone et al., Development and airborne operation .... Development and airborne operation of a compact2  

E-Print Network [OSTI]

distillation model. As expected in the15 troposphere, there is no indication of non-mass dependent fractionation (also known16 as mass independent fractionation).17 Furthermore, improvements to the thermal fractionation; MIF.24 25 hal-00564251,version1-8Feb2011 #12

Boyer, Edmond

451

APCF Construction Schedule | Advanced Photon Source  

Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered¬ČPNGExperience4AJ01) (See95TI07)Operations2AP-XPS Measures MIEC Oxides inAPCF Past

452

Integrating Solar PV in Utility System Operations  

SciTech Connect (OSTI)

This study develops a systematic framework for estimating the increase in operating costs due to uncertainty and variability in renewable resources, uses the framework to quantify the integration costs associated with sub-hourly solar power variability and uncertainty, and shows how changes in system operations may affect these costs. Toward this end, we present a statistical method for estimating the required balancing reserves to maintain system reliability along with a model for commitment and dispatch of the portfolio of thermal and renewable resources at different stages of system operations. We estimate the costs of sub-hourly solar variability, short-term forecast errors, and day-ahead (DA) forecast errors as the difference in production costs between a case with ďrealisticĒ PV (i.e., subhourly solar variability and uncertainty are fully included in the modeling) and a case with ďwell behavedĒ PV (i.e., PV is assumed to have no sub-hourly variability and can be perfectly forecasted). In addition, we highlight current practices that allow utilities to compensate for the issues encountered at the sub-hourly time frame with increased levels of PV penetration. In this analysis we use the analytical framework to simulate utility operations with increasing deployment of PV in a case study of Arizona Public Service Company (APS), a utility in the southwestern United States. In our analysis, we focus on three processes that are important in understanding the management of PV variability and uncertainty in power system operations. First, we represent the decisions made the day before the operating day through a DA commitment model that relies on imperfect DA forecasts of load and wind as well as PV generation. Second, we represent the decisions made by schedulers in the operating day through hour-ahead (HA) scheduling. Peaking units can be committed or decommitted in the HA schedules and online units can be redispatched using forecasts that are improved relative to DA forecasts, but still imperfect. Finally, we represent decisions within the operating hour by schedulers and transmission system operators as real-time (RT) balancing. We simulate the DA and HA scheduling processes with a detailed unit-commitment (UC) and economic dispatch (ED) optimization model. This model creates a least-cost dispatch and commitment plan for the conventional generating units using forecasts and reserve requirements as inputs. We consider only the generation units and load of the utility in this analysis; we do not consider opportunities to trade power with neighboring utilities. We also do not consider provision of reserves from renewables or from demand-side options. We estimate dynamic reserve requirements in order to meet reliability requirements in the RT operations, considering the uncertainty and variability in load, solar PV, and wind resources. Balancing reserve requirements are based on the 2.5th and 97.5th percentile of 1-min deviations from the HA schedule in a previous year. We then simulate RT deployment of balancing reserves using a separate minute-by-minute simulation of deviations from the HA schedules in the operating year. In the simulations we assume that balancing reserves can be fully deployed in 10 min. The minute-by-minute deviations account for HA forecasting errors and the actual variability of the load, wind, and solar generation. Using these minute-by-minute deviations and deployment of balancing reserves, we evaluate the impact of PV on system reliability through the calculation of the standard reliability metric called Control Performance Standard 2 (CPS2). Broadly speaking, the CPS2 score measures the percentage of 10-min periods in which a balancing area is able to balance supply and demand within a specific threshold. Compliance with the North American Electric Reliability Corporation (NERC) reliability standards requires that the CPS2 score must exceed 90% (i.e., the balancing area must maintain adequate balance for 90% of the 10-min periods). The combination of representing DA forecast errors in the

Mills, A.; Botterud, A.; Wu, J.; Zhou, Z.; Hodge, B-M.; Heany, M.

2013-10-31T23:59:59.000Z

453

Degraded Modes and the `Culture of Coping' in Military Operations: An Analysis of a Fatal Incident On-Board HMS Tireless on 20/21 March 2007  

E-Print Network [OSTI]

was following Standard operating Procedures (SOPs) using Self Contained Oxygen Generators (SCOGs) to maintain and operators must work together to ensure that maintenance intervals are scheduled so that critical componentsDegraded Modes and the `Culture of Coping' in Military Operations: An Analysis of a Fatal Incident

Johnson, Chris

454

Developing Standard Logic for a Detailed Engineering Project Schedule in the Process Industry  

E-Print Network [OSTI]

Planning Meeting (IPPM) for a standard detailed engineering project in the process industry will be used to develop scheduling logic for use in developing detail engineering project schedules. However, because the IPPM does not clearly distinguish...

Miller-Karns, Kara A.

2009-05-15T23:59:59.000Z

455

An Integrated ACO Approach for the Joint Production and Preventive Maintenance Scheduling  

E-Print Network [OSTI]

An Integrated ACO Approach for the Joint Production and Preventive Maintenance Scheduling Problem, an integrated ACO approach to solve joint production and preventive maintenance scheduling problem very effective solutions for this problem. Key words-- ACO, Production, Preventive maintenance

Paris-Sud XI, Université de

456

Cooperative Multitasking for Heterogeneous Accelerators in the Linux Completely Fair Scheduler  

E-Print Network [OSTI]

Cooperative Multitasking for Heterogeneous Accelerators in the Linux Completely Fair Scheduler to be aware of accelerators, hold different run queues for these components and perform scheduling decisions migration of applications between accelerators. We show that cooperative multitasking is possible

Hellebrand, Sybille

457

Optimal inspection scheduling with alternative fatigue reliability formulations for steel bridges  

E-Print Network [OSTI]

Optimal inspection scheduling with alternative fatigue reliability formulations for steel bridges H, USA Keywords: steel bridges, structural reliability, fatigue, optimal inspection, fracture, plate girder, box girder ABSTRACT: A reliability-based method for inspection scheduling of steel bridges

Manuel, Lance

458

Three heuristics for transmission scheduling in sensor networks with multiple mobile sinks  

E-Print Network [OSTI]

based on different principles (imitation of human decision making, stochastic transmission and constantThree heuristics for transmission scheduling in sensor networks with multiple mobile sinks Damla Algorithms, Design, Measurement, Experimentation Keywords Sensors, Sensor Networks, Transmission scheduling

Bölöni, Ladislau L

459

Residential Energy Simulation and Scheduling: A Case Study Approach Jagannathan Venkatesh, Baris Aksanli, Tajana Simuni Rosing  

E-Print Network [OSTI]

, green energy, residential energy management, smart scheduling I. INTRODUCTION Building energy nature of home energy consumption [5]. A majority of work has focused on characterizing green energyResidential Energy Simulation and Scheduling: A Case Study Approach Jagannathan Venkatesh, Baris

Simunic, Tajana

460

H.A.R. 19-102 - Fee Schedule for the Issuance of a Permit to...  

Open Energy Info (EERE)

H.A.R. 19-102 - Fee Schedule for the Issuance of a Permit to Perform Work on State HighwaysLegal Abstract This regulation outlines the fee schedule for the...

Note: This page contains sample records for the topic "als operating schedule" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

A Practical Framework for Configuration of Scheduling and Concurrency Control in Linux  

E-Print Network [OSTI]

system. Only specifying the scheduling semantics for an application is not sufficient because concurrency control also significantly affects the behavior of the application. This work demonstrates the integration of the Hierarchical Group Scheduling...

Phagan, Tyrian

2011-08-31T23:59:59.000Z

462

Automation of airlift scheduling for the upgraded command and control system of military airlift command  

E-Print Network [OSTI]

This report describes a conceptual design for automation of the scheduling of airlift activities as part of the current upgrade of the MAC C2 System. It defines the airlift scheduling problem in generic terms before reviewing ...

Simpson, R. W.

1984-01-01T23:59:59.000Z

463

Controlled Substance Security Plan (Schedules I, II, III, IV and V Controlled Substances)  

E-Print Network [OSTI]

Controlled Substance Security Plan (Schedules I, II, III, IV and V Controlled Substances) Guidelines for Acquiring & Accounting for Controlled Substances for Scientific Use Lawrence Berkeley National;LAWRENCEBERKELEYr\\IATIOMLI-ABOMTORY CONTROLLEDSUBSTANCEPROTOCOL (SCHEDULEr& il CONTROLLEDSUBSTANCES) Gontrolled

Eisen, Michael

464

The Savannah River Site`s groundwater monitoring program: 1990 sampling schedule  

SciTech Connect (OSTI)

This schedule provides a final record of the 1990 sampling schedule for the SRS groundwater monitoring program conducted by the Environmental Protection Department/Environmental Section (EPD/EMS). It includes all the wells monitored by EPD/EMS at SRS during 1990 and identifies the constituents sampled, the sampling frequency, and the reasons for sampling. Sampling requests are incorporated into the schedule throughout the year. Drafts of the schedule are produced and revised quarterly.

Rogers, C.D. [Westinghouse Savannah River Co., Aiken, SC (United States)

1991-02-07T23:59:59.000Z

465

Energy Efficient Deadline Scheduling in Two Processor Systems  

E-Print Network [OSTI]

Energy Efficient Deadline Scheduling in Two Processor Systems Tak-Wah Lam1 , Lap-Kei Lee1 , Isaac K manage its energy usage by scaling dynamically its speed. In this paper we attempt to extend such work energy. The motivation comes from the fact that dual-core processors are get- ting common nowadays. Our

Wong, Prudence W.H.

466

Optimal Scheduling under Variable Electricity Pricing and Availability  

E-Print Network [OSTI]

due dates · Location of event points ­ At demand points ­ At some energy pricing/availability levels periods with same energy pricing/power level · Only valid for single stage plants November 11, 2009 EnergyOptimal Scheduling under Variable Electricity Pricing and Availability Pedro M. Castro Iiro

Grossmann, Ignacio E.

467

Task Scheduling and Voltage Selection for Energy Minimization  

E-Print Network [OSTI]

. However, task schedul- ing without consideration of VS may not present the best energy saving potential to sleep mode while idling are becoming available 1, 11 . Two main system level energy saving techniques a large amount of energy saving 17 . In this paper, we consider real-time dependent tasks with deadlines

Hu, Xiaobo Sharon

468

Workforce-Constrained Preventive Maintenance Scheduling using Evolution Strategies  

E-Print Network [OSTI]

Workforce-Constrained Preventive Maintenance Scheduling using Evolution Strategies ABSTRACT Heavy of minimizing the makespan for a set of preventive maintenance (PM) tasks, requiring single- or multiple approach to the SA approach for this class of PM problems. Subject Area: Preventive Maintenance, Evolution

Terwilliger, Mark

469

Optimal Maintenance Scheduling of a Power Plant with Seasonal  

E-Print Network [OSTI]

-Wide Optimization Meeting · Plan preventive maintenance shutdowns ­ Minimize payment for skilled labor ­ Save onlineOptimal Maintenance Scheduling of a Power Plant with Seasonal Electricity Tariffs Pedro M. Castro maintenance team doing shutdowns · Shutdown period mandatory after [ , ] h online · Challenging (hard

Grossmann, Ignacio E.

470

University at Buffalo (SUNY) Department of Industrial Engineering Scheduling Theory  

E-Print Network [OSTI]

1 University at Buffalo (SUNY) Department of Industrial Engineering IE 661 Scheduling Theory Course Introduction Rakesh Nagi Department of Industrial Engineering University at Buffalo (SUNY) #12;2 University at Buffalo (SUNY) Department of Industrial Engineering About the course This graduate level course covers

Nagi, Rakesh

471

Approximation schemes for covering and scheduling on related machines  

E-Print Network [OSTI]

Approximation schemes for covering and scheduling on related machines Yossi Azar1 ,Leah Epstein2 1 Abstract. We consider the problem of assigning a set of jobs to m par- allel related machines so as to maximize the minimum load over the machines. This situation corresponds to a case that a system which con

Azar, Yossi

472

Approximation schemes for covering and scheduling on related machines  

E-Print Network [OSTI]

Approximation schemes for covering and scheduling on related machines Yossi Azar 1 ,Leah Epstein 2­Aviv University. y Abstract. We consider the problem of assigning a set of jobs to m par­ allel related machines so as to maximize the minimum load over the machines. This situation corresponds to a case

Epstein, Leah

473

Scheduling of Connected Autonomous Vehicles on Highway Lanes  

E-Print Network [OSTI]

Scheduling of Connected Autonomous Vehicles on Highway Lanes Jiajun Hu, Linghe Kong, Wei Shu}@sjtu.edu.cn + University of New Mexico, USA, shu@ece.unm.edu Abstract--With recent progress in vehicle autonomous driving autonomous sys- tems. This paper studies lane assignment strategies for connected autonomous vehicles

474

Downlink Traffic Scheduling in Green Vehicular Roadside Infrastructure  

E-Print Network [OSTI]

or prohibitive expense of wired electrical power. In these situations, an alternative to wired power connections D. Todd, George Karakostas and Dongmei Zhao Department of Electrical and Computer Engineering Mc of scheduling for energy efficient road-side infrastructure. In certain scenarios, vehicle locations can

Karakostas, George

475

Improved Multi-processor Scheduling for Flow Time and Energy  

E-Print Network [OSTI]

. To Prudence W. H. Wong October 29, 2009 Abstract Energy usage has been an important concern in recent research energy usage is dynamic speed scaling (see, e.g., [8, 14, 24, 28]) where the processor can vary its speedImproved Multi-processor Scheduling for Flow Time and Energy Tak-Wah Lam Lap-Kei Lee Isaac K. K

Wong, Prudence W.H.

476

Test Access Mechanism Optimization, Test Scheduling, and Tester Data Volume  

E-Print Network [OSTI]

Test Access Mechanism Optimization, Test Scheduling, and Tester Data Volume Reduction for System Marinissen, Senior Member, IEEE Abstract--We describe an integrated framework for system-on-chip (SOC) test automation. Our framework is based on a new test access mechanism (TAM) architecture consisting of flexible

Chakrabarty, Krishnendu

477

Visopt ShopFloor System: Integrating Planning into Production Scheduling  

E-Print Network [OSTI]

Visopt ShopFloor System: Integrating Planning into Production Scheduling Roman Bart√°k Charles, the first machine pre-processes the item (3 time units) that is finished in the second machine (additional 3 in parallel and a worker is required (left) or via a serial production when the item is pre- processed

Bartak, Roman

478

Real-Time Scheduling for Energy Harvesting Sensors  

E-Print Network [OSTI]

autonomous sensors to scavenge the energy in the environment. Environmental applications include forest fireReal-Time Scheduling for Energy Harvesting Sensors Maryline Chetto IRCCyN Lab University of Nantes Institut Universitaire de Technologie - Saida E-mail: rafichagechehade@ul.edu.lb Abstract-- Energy

Paris-Sud XI, Université de

479

POWER SCHEDULING IN A HYDRO-THERMAL SYSTEM UNDER UNCERTAINTY  

E-Print Network [OSTI]

POWER SCHEDULING IN A HYDRO-THERMAL SYSTEM UNDER UNCERTAINTY C.C. Car e1, M.P. Nowak2, W. Romisch2 Forschungsgemeinschaft. leads to a tremendous increase in the complex- ity of the traditional power optimization mod- els-burning) thermal units, pumped-storage hydro plants and delivery con- tracts and describe an optimization model

RŲmisch, Werner

480

Using Heuristic Algorithms to Effectively Schedule Database Utilities*  

E-Print Network [OSTI]

1 Using Heuristic Algorithms to Effectively Schedule Database Utilities* Zusheng Xu and Patrick systems (DBMSs). Data maintenance utilities ensure that the data in tables are stored as efficiently as possible so executing the utilities is crucial to preventing applications from suffering major performance

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481

Energy-aware scheduling under reliability and makespan constraints  

E-Print Network [OSTI]

We consider a task graph to be executed on a set of homogeneous processors. We aim at minimizing the energy consumption while enforcing two constraints: a prescribed bound on the execution time or makespan), and a reliability threshold. Dynamic voltage and frequency scaling (DVFS) is a model frequently used to reduce the energy consumption of a schedule, but it has negative effect on its reliability. In this work, to improve the reliability of a schedule while reducing the energy consumption, we allow for the re-execution of some tasks. We assess the complexity of the tri-criteria scheduling problem (makespan, reliability, energy) with two different speed models: either processors can have arbitrary speeds (continuous speeds), or a processor can run at a finite number of different speeds, and it can change its speed during a computation. We propose several novel tri-criteria scheduling heuristics under the continuous speed model, and we evaluate them through a set of simulations. Our two best heuristics turn ...

Aupy, Guillaume; Robert, Yves

2011-01-01T23:59:59.000Z

482

Simultaneous Scheduling and Control of Multiproduct Continuous Parallel Lines  

E-Print Network [OSTI]

continuous reactors is cast as a Mixed-Integer Dynamic Optimization (MIDO) problem. The reactor dynamic;Abstract In this work we propose a simultaneous scheduling and control optimization formulation to ad- dress both optimal steady-state production and dynamic product transitions in multiproduct parallel

Grossmann, Ignacio E.

483

Energy-Aware Meeting Scheduling Algorithms for Smart Buildings  

E-Print Network [OSTI]

The increasing worldwide concern over the energy con- sumption of commercial buildings calls for new approaches; Build- ing energy efficiency 1 Introduction The energy consumption of commercial buildings is of growingEnergy-Aware Meeting Scheduling Algorithms for Smart Buildings Abhinandan Majumdar Computer Systems

Albonesi, David H.

484

On Pipelining Dynamic Instruction Scheduling Logic Jared Stark  

E-Print Network [OSTI]

Engineering ¬° The University of Texas at Austin¬Ę mbrown,patt¬£ @ece.utexas.edu Abstract A machine's performance [3] warned that the dynamic instruction scheduling logic for current machines performs an atomic ¬° Microprocessor Research Labs Intel Corporation jared.w.stark@intel.com Dept. of Electrical and Computer

Zhang, Zhongfei "Mark"

485

Optimal Scheduling of Industrial Combined Heat and Power Plants  

E-Print Network [OSTI]

Optimal Scheduling of Industrial Combined Heat and Power Plants under Time-sensitive Electricity Prices Sumit Mitra , Lige Sun , Ignacio E. Grossmann December 24, 2012 Abstract Combined heat and power companies. However, under-utilization can be a chance for tighter interaction with the power grid, which

Grossmann, Ignacio E.

486

Maintenance scheduling problems as benchmarks for constraint algorithms  

E-Print Network [OSTI]

a power plant. We show how these scheduling prob- lems can be cast as constraint satisfaction problems ect any real life situations. In this paper we demonstrate another method for comparing CSP search plant. Our approach was to de ne a formal model which captures most of the interesting characteristics

Dechter, Rina

487

Maintenance scheduling problems as benchmarks for constraint algorithms  

E-Print Network [OSTI]

units within a power plant. We show how these scheduling prob­ lems can be cast as constraint another method for comparing CSP search algo­ rithms, by applying them to random problems that have been units within an electric power plant. Our approach was to define a formal model which captures most

Dechter, Rina

488

Hydro-Thermal Scheduling (HTS) 1.0 Introduction  

E-Print Network [OSTI]

1 Hydro-Thermal Scheduling (HTS) 1.0 Introduction From an overall systems view, the single most, relative to that of thermal plants, are very small. There are three basic types of hydroelectric plants;2 Pump-storage This kind of hydro plant is a specialized reservoir-type plant which has capability to act

McCalley, James D.

489

CE 4990 -Construction Scheduling Week 1: Steel Frame Project  

E-Print Network [OSTI]

CE 4990 - Construction Scheduling Week 1: Steel Frame Project Fall 2011 January 13, 2012 Introduction You are a construction manager for a project to build a steel frame for an office building1 of 964 pre-fabricated structural steel members will be used in the construction. The standard bay size

Mukherjee, Amlan

490

Power-Aware Dynamic Task Scheduling for Heterogeneous Accelerated Clusters  

E-Print Network [OSTI]

Power-Aware Dynamic Task Scheduling for Heterogeneous Accelerated Clusters Tomoaki Hamano, Toshio Endo and Satoshi Matsuoka Tokyo Institute of Technology/JST, Japan Abstract Recent accelerators with accelerators and general CPUs are becoming popular, such as LANL's Roadrun- ner and our own TSUBAME

491

Optimal Scheduling for Energy Harvesting Transmitters with Hybrid Energy Storage  

E-Print Network [OSTI]

Optimal Scheduling for Energy Harvesting Transmitters with Hybrid Energy Storage Omur Ozel Khurram with an energy harvesting transmitter which has a hybrid energy storage unit composed of a perfectly efficient super-capacitor (SC) and an inefficient battery. The SC has finite space for energy storage while

Ulukus, Sennur

492

Downstream-based Scheduling for Energy Conservation in Green EPONs  

E-Print Network [OSTI]

1 Downstream-based Scheduling for Energy Conservation in Green EPONs Shen Chen, Ahmad R. Dhaini maximum energy conservation in green Ethernet passive optical networks (EPONs). While overlapping allocation scheme for energy conservation in green EPONs. Simulation results verify the proposed model

Shihada, Basem

493

Energy-Efficient Flow Time Scheduling: An Experimental Study  

E-Print Network [OSTI]

] and Intel's Speedstep [6]. Running a job at a slower speed saves energy, yet it takes longer time and may and energy. An algorithm called AJC (active job count) has been proposed [3, 7], in which the speedEnergy-Efficient Flow Time Scheduling: An Experimental Study Jude-Thaddeus Ojiaku (speaker) Daniel

Wong, Prudence W.H.

494

Deadline Scheduling and Power Management for Speed Bounded Processors  

E-Print Network [OSTI]

). The aim is to minimize the energy for completing all jobs by their deadlines. In this paper, we extend model. Assuming no sleep state, a scheduler, to save energy, probably runs a job as slow as its deadline-Kei Lee Isaac K.K. To Prudence W.H. Wong 1 Introduction Energy consumption has become an important issue

Wong, Prudence W.H.

495

Deadline Scheduling and Power Management for Speed Bounded Processors  

E-Print Network [OSTI]

be scaled arbitrarily high (the infinite speed model), SOA can complete all jobs with reduced energy usage,15,23,24] enables a processor to vary the speed dynamically. Running a job slower reduces energy usage, but it takes online job scheduling with speed scaling and energy usage taken into consideration. The challenge arises

Wong, Prudence W.H.

496

Nonmigratory Multiprocessor Scheduling for Response Time and Energy  

E-Print Network [OSTI]

can vary its speed dynamically. Running a job at a slower speed is more energy efficient, yet it takesS) and conserving energy. One commonly used QoS measurement for schedul­ ing jobs on a processor is the average time and energy usage into consideration. Details are as follows. 1.1 Models and Previous Work Jobs

Wong, Prudence W.H.

497

COST FUNCTIONS FOR SCHEDULING TASKS IN CYBER-PHYSICAL SYSTEMS  

E-Print Network [OSTI]

COST FUNCTIONS FOR SCHEDULING TASKS IN CYBER-PHYSICAL SYSTEMS Abhinna Jain, C.M. Krishna, Israel, cost functions, controlled plant dynamics Abstract: In Cyber Physical Systems (CPS), computational response times are different. In this paper, we consider using cost functions of task response time

Massachusetts at Amherst, University of

498

Periodic Constraint-Based Control Using Dynamic Wireless Sensor Scheduling  

E-Print Network [OSTI]

Periodic Constraint-Based Control Using Dynamic Wireless Sensor Scheduling James Weimer, Jos¬īe Ara¬īujo, Aitor Hernandez and Karl Henrik Johansson Abstract-- Constraint-based control over wireless sensor net- works (WSNs) require control strategies that achieve a desired closed-loop system performance while

Johansson, Karl Henrik

499

M1 internship account On update schedules and dynamics of  

E-Print Network [OSTI]

M1 internship account 2007-2008 On update schedules and dynamics of boolean networks Mathilde Noual Internship done at the university of Concepción under the direction of Julio Aracena hal-00688157,version1 network rely on several dierent parameters. During this internship, we have especially been looking

Paris-Sud XI, Université de

500

WINTER-SPRING 2009 SCHEDULE Workshops to Improve Productivity by  

E-Print Network [OSTI]

.html Motor Systems Management Motor Systems Management training is designed to help facility personnel reduce tracking, maintenance, repair, power quality, management of power transmission and driven loads reverse for complete schedule of classes. Fundamentals of Compressed Air Systems (Advanced Course Also