National Library of Energy BETA

Sample records for general schedule gs

  1. 2007 Wholesale Power Rate Schedules : 2007 General Rate Schedule Provisions.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2006-11-01

    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.

  2. Some Guidelines for Proportional Share CPU Scheduling in GeneralPurpose Operating Systems

    E-Print Network [OSTI]

    Utah, University of

    Some Guidelines for Proportional Share CPU Scheduling in General­Purpose Operating Systems John, and less effort on generating new algorithms. In this paper we focus on proportional share schedulers. We introduce the notion of pessimism---the proportion of over­ reservation required for an application to meet

  3. Some Guidelines for Proportional Share CPU Scheduling in General-Purpose Operating Systems

    E-Print Network [OSTI]

    Utah, University of

    Some Guidelines for Proportional Share CPU Scheduling in General-Purpose Operating Systems John, and less effort on generating new algorithms. In this paper we focus on proportional share schedulers. We introduce the notion of pessimism--the proportion of over- reservation required for an application to meet

  4. A General Self-adaptive Task Scheduling System for Non-dedicated Heterogeneous Computing

    E-Print Network [OSTI]

    Sun, Xian-He

    1 A General Self-adaptive Task Scheduling System for Non-dedicated Heterogeneous Computing Ming Wu outperforms current systems in scheduling large applications in a non- dedicated heterogeneous environment. 1 are for dedicated systems. By dedicated, we refer resources in the system serve the application in a dedicated

  5. SECTION GS1020 CONSTRUCTION CODE REQUIREMENTS

    E-Print Network [OSTI]

    Zhang, Yuanlin

    101, Life Safety Code; 5. National Fire Protection Association Codes and Standards; 6. ANSI/ASME A17SECTION GS1020 ­ CONSTRUCTION CODE REQUIREMENTS PART 1 - GENERAL 1.1 RELATED DOCUMENTS A. Drawings includes the following: 1. Construction code requirements for all construction at Texas Tech University. 1

  6. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDidDevelopment Top LDRDUniversitySchedules Print Current Long-Term

  7. Inspector General audit report on Transportation Safeguards Division courier work schedules and escort vehicle replacements

    SciTech Connect (OSTI)

    NONE

    1998-12-01

    The Office of Inspector General`s (OIG) April 1995 report found that couriers received too much overtime and incurred too much unproductive time. This finding occurred because the Transportation Safeguards Division (TSD) employed a traditional work schedule that did not meet the demands of the job. The report recommended implementing an alternative work schedule that corresponded more closely to the couriers` actual work requirements. Management agreed to conduct a comparative analysis of work schedules to evaluate potential savings. The objectives of this audit were to (1) follow up on actions taken as a result of the OIG`s previous report, (2) determine if courier work schedules are cost effective, and (3) determine the cost effectiveness of escort vehicle replacements. The authors recommend: (1) implementing an alternative work schedule for courier which would achieve savings in overtime and unproductive time, while efficiently and cost effectively fulfilling TSD`s mission; (2) reexamining and adjusting the staffing level of each courier section in relation to the workload requirements in the area; and (3) discontinuing payment for travel time between courier lodging and temporary duty stations. The Albuquerque Operations Office agreed with the auditor`s findings and recommendations.

  8. UC IRVINE GENERAL EDUCATION (GE) REQUIREMENT AND APPROVED GE COURSES, 201213 Includes course titles and Schedule of Classes designations

    E-Print Network [OSTI]

    Loudon, Catherine

    UC IRVINE GENERAL EDUCATION (GE) REQUIREMENT AND APPROVED GE COURSES, 201213 Includes course titles and Schedule of Classes designations GENERAL EDUCATION (GE) REQUIREMENT UCI is committed undergraduates complete a set of general education (GE) requirements. General education courses introduce

  9. Queue length asymptotics for generalized max-weight scheduling in the presence of heavy-tailed traffic

    E-Print Network [OSTI]

    Jagannathan, Krishna Prasanna

    We investigate the asymptotic behavior of the steady-state queue length distribution under generalized max-weight scheduling in the presence of heavy-tailed traffic. We consider a system consisting of two parallel queues, ...

  10. General Relativity and Gravitation, Vol. 36, No. 3, March 2004 ( C 2004) Experiments in Fundamental Physics Scheduled

    E-Print Network [OSTI]

    Gibble, Kurt

    General Relativity and Gravitation, Vol. 36, No. 3, March 2004 ( C 2004) REVIEW Experiments in Fundamental Physics Scheduled and in Development for the ISS C. Lammerzahl,1 G. Ahlers,2 N. Ashby,3 M experiments in the area of Fundamental Physics that are either approved by ESA and NASA, or are currently

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

    E-Print Network [OSTI]

    Wu, Jianjia

    2007-09-17

    Real-time system refers to the computing, communication, and information system with deadline requirements. To meet these deadline requirements, most systems use a mechanism known as the schedulability test which determines ...

  12. Regal Blues Tryout General Info and Schedule The La Tech Regal Blues are experienced and technically trained dancers who focus primarily on

    E-Print Network [OSTI]

    Selmic, Sandra

    Regal Blues Tryout General Info and Schedule The La Tech Regal Blues per week. They represent the Bulldogs and the Tech community at appearances meeting for the new 2014-2015 team! -meet at Lambright in Aerobics room -come

  13. A UNIFIED HARDWARE/SOFTWARE PRIORITY SCHEDULING MODEL FOR GENERAL PURPOSE SYSTEMS

    E-Print Network [OSTI]

    Preston, Keith Alan

    2012-05-31

    be applied past the scheduling decision itself to also reduce the non-predictable delays associated with interrupts and timers. By expanding the window of hardware/software co-design to these invocation mechanisms, we seek to understand if the jitter...

  14. 100 GS/s / 100 GS/s All-Optical Analog-to-Digital Conversion utilizing Slow Light Structure

    E-Print Network [OSTI]

    Park, Namkyoo

    100 GS/s / 100 GS/s All-Optical Analog-to-Digital Conversion utilizing Slow Light Structure-to-digital conversion based on photonic crystal slow light structure. To achieve high speed modulation and compensate inducing dual channels are suggested, which have the unit cells composed of coupled resonators. (Slow

  15. The Schedule

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

    1997-03-28

    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.

  16. Simulating gyrokinetic microinstabilities in stellarator geometry with GS2

    SciTech Connect (OSTI)

    Baumgaertel, J. A.; Guttenfelder, W.; Hammett, G. W.; Mikkelsen, D. R.; Rewoldt, G.; Tang, W. M. [Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543 (United States); Belli, E. A. [General Atomics, San Diego, California 92186 (United States); Dorland, W. [Department of Physics, University of Maryland, College Park, Maryland 20742 (United States); Xanthopoulos, P. [Max-Planck-Institut fuer Plasmaphysik, D-17491 Greifswald (Germany)

    2011-12-15

    The nonlinear gyrokinetic code GS2 has been extended to treat non-axisymmetric stellarator geometry. Electromagnetic perturbations and multiple trapped particle regions are allowed. Here, linear, collisionless, electrostatic simulations of the quasi-axisymmetric, three-field period national compact stellarator experiment (NCSX) design QAS3-C82 have been successfully benchmarked against the eigenvalue code FULL. Quantitatively, the linear stability calculations of GS2 and FULL agree to within {approx}10%.

  17. GS-CO-0001-001.PDF

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (Journal Article)ForthcomingGENERAL ASSIGNMENT KNOW ALLGPS+

  18. GS-PR-0003-001.PDF

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (Journal Article)ForthcomingGENERAL ASSIGNMENT KNOW

  19. GS-AD-0009-001.PDF

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (Journal Article)ForthcomingGENERAL ASSIGNMENT KNOW ALLGPS+ on

  20. GS-AD-0010-001.PDF

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (Journal Article)ForthcomingGENERAL ASSIGNMENT KNOW ALLGPS+ on10-001.doc

  1. GS-PO-0001-001.PDF

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (Journal Article)ForthcomingGENERAL ASSIGNMENT KNOW ALLGPS+LSU/CAMD Policy

  2. GS-PO-0009-001.PDF

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (Journal Article)ForthcomingGENERAL ASSIGNMENT KNOW ALLGPS+LSU/CAMD

  3. GS-PO-0010-001.PDF

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (Journal Article)ForthcomingGENERAL ASSIGNMENT KNOW ALLGPS+LSU/CAMD LSU/CAMD

  4. GS-PR-0001-001.PDF

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (Journal Article)ForthcomingGENERAL ASSIGNMENT KNOW ALLGPS+LSU/CAMD

  5. GS-PR-0002-001.PDF

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (Journal Article)ForthcomingGENERAL ASSIGNMENT KNOW ALLGPS+LSU/CAMD2.001.doc

  6. GS-PR-0009-001.PDF

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (Journal Article)ForthcomingGENERAL ASSIGNMENT KNOW09-001.doc Crane Date:

  7. GS-PR-0010-001.PDF

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (Journal Article)ForthcomingGENERAL ASSIGNMENT KNOW09-001.doc Crane

  8. 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...

  9. GS-Lab Report 2012 by J.B. de Smeth, 1 GeoScience-Laboratory

    E-Print Network [OSTI]

    GS-Lab Report 2012 by J.B. de Smeth, 1 GeoScience-Laboratory Activity Report 2012 J.B. de Smeth, Head GS-Lab. January 2013 #12;GS-Lab Report 2012 by J.B. de Smeth, 2 GeoScience Laboratory activity report 2012 J.B. de Smeth, Head GS-lab. 1. Introduction The function of the GeoScience Laboratory

  10. GS-Lab Report 2014 by J.B. de Smeth, 1 GeoScience-Laboratory

    E-Print Network [OSTI]

    GS-Lab Report 2014 by J.B. de Smeth, 1 GeoScience-Laboratory Activity Report 2014 J.B. de Smeth, Head GS-Lab. January 2015 #12;GS-Lab Report 2014 by J.B. de Smeth, 2 GeoScience Laboratory activity report 2014 J.B. de Smeth, Head GS-lab. 1. Introduction The function of the GeoScience Laboratory

  11. GS-Lab Report 2013 by J.B. de Smeth, 1 GeoScience-Laboratory

    E-Print Network [OSTI]

    GS-Lab Report 2013 by J.B. de Smeth, 1 GeoScience-Laboratory Activity Report 2013 J.B. de Smeth, Head GS-Lab. February 2014 #12;GS-Lab Report 2013 by J.B. de Smeth, 2 GeoScience Laboratory activity report 2013 J.B. de Smeth, Head GS-lab. 1. Introduction The function of the GeoScience Laboratory

  12. GS-Lab Report 2010 by J.B. de Smeth, 1 GeoScience-Laboratory

    E-Print Network [OSTI]

    GS-Lab Report 2010 by J.B. de Smeth, 1 GeoScience-Laboratory Activity Report 2010 J.B. de Smeth, Head GS-Lab. July 2011 #12;GS-Lab Report 2010 by J.B. de Smeth, 2 GeoScience Laboratory activity report 2010 J.B. de Smeth, Head GS-lab. 1. Introduction The function of the GeoScience Laboratory

  13. Test Report : GS battery, EPC power HES RESCU.

    SciTech Connect (OSTI)

    Rose, David Martin; Schenkman, Benjamin L.; Borneo, Daniel R.

    2013-10-01

    The Department of Energy Office of Electricity (DOE/OE), Sandia National Laboratories (SNL) and the Base Camp Integration Lab (BCIL) partnered together to incorporate an energy storage system into a microgrid configured Forward Operating Base to reduce the fossil fuel consumption and to ultimately save lives. Energy storage vendors will be sending their systems to SNL Energy Storage Test Pad (ESTP) for functional testing and then to the BCIL for performance evaluation. The technologies that will be tested are electro-chemical energy storage systems comprising of lead acid, lithium-ion or zinc-bromide. GS Battery and EPC Power have developed an energy storage system that utilizes zinc-bromide flow batteries to save fuel on a military microgrid. This report contains the testing results and some limited analysis of performance of the GS Battery, EPC Power HES RESCU.

  14. UGE Scheduler Cycle Time

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

    UGE Scheduler Cycle Time UGE Scheduler Cycle Time Genepool Cycle Time Genepool Daily Genepool Weekly Phoebe Cycle Time Phoebe Daily Phoebe Weekly What is the Scheduler Cycle? The...

  15. Natural analogue synthesis report, TDR-NBS-GS-000027 rev00 icn 02

    E-Print Network [OSTI]

    2002-01-01

    Site Recommendation Snake River Plain Aquifer TDR-NBS-GS-water quality of the Snake River Plain Aquifer (SRPA), thewater, and the Snake River Plain Aquifer. The overall

  16. Natural analogue synthesis report, TDR-NBS-GS-000027 rev00 icn 02

    E-Print Network [OSTI]

    2002-01-01

    Radioactive Waste Disposal, Proceedings, Symposium TDR-NBS-GS-000027 REV 0 0 ICN 01 April 2002 I Natural Analogue Synthesis Report

  17. Ground Source Integrated Heat Pump (GS-IHP) Development

    SciTech Connect (OSTI)

    Baxter, V. D.; Rice, K.; Murphy, R.; Munk, J.; Ally, Moonis; Shen, Bo; Craddick, William; Hearn, Shawn A.

    2013-05-24

    Between October 2008 and May 2013 ORNL and ClimateMaster, Inc. (CM) engaged in a Cooperative Research and Development Agreement (CRADA) to develop a groundsource integrated heat pump (GS-IHP) system for the US residential market. A initial prototype was designed and fabricated, lab-tested, and modeled in TRNSYS (SOLAR Energy Laboratory, et al, 2010) to predict annual performance relative to 1) a baseline suite of equipment meeting minimum efficiency standards in effect in 2006 (combination of air-source heat pump (ASHP) and resistance water heater) and 2) a state-of-the-art (SOA) two-capacity ground-source heat pump with desuperheater water heater (WH) option (GSHPwDS). Predicted total annual energy savings, while providing space conditioning and water heating for a 2600 ft{sup 2} (242 m{sup 2}) house at 5 U.S. locations, ranged from 52 to 59%, averaging 55%, relative to the minimum efficiency suite. Predicted energy use for water heating was reduced 68 to 78% relative to resistance WH. Predicted total annual savings for the GSHPwDS relative to the same baseline averaged 22.6% with water heating energy use reduced by 10 to 30% from desuperheater contributions. The 1st generation (or alpha) prototype design for the GS-IHP was finalized in 2010 and field test samples were fabricated for testing by CM and by ORNL. Two of the alpha units were installed in 3700 ft{sup 2} (345 m{sup 2}) houses at the ZEBRAlliance site in Oak Ridge and field tested during 2011. Based on the steady-state performance demonstrated by the GS-IHPs it was projected that it would achieve >52% energy savings relative to the minimum efficiency suite at this specific site. A number of operational issues with the alpha units were identified indicating design changes needed to the system before market introduction could be accomplished. These were communicated to CM throughout the field test period. Based on the alpha unit test results and the diagnostic information coming from the field test experience, CM developed a 2nd generation (or beta) prototype in 2012. Field test verification units were fabricated and installed at the ZEBRAlliance site in Oak Ridge in May 2012 and at several sites near CM headquarters in Oklahoma. Field testing of the units continued through February 2013. Annual performance analyses of the beta unit (prototype 2) with vertical well ground heat exchangers (GHX) in 5 U.S. locations predict annual energy savings of 57% to 61%, averaging 59% relative to the minimum efficiency suite and 38% to 56%, averaging 46% relative to the SOA GSHPwDS. Based on the steady-state performance demonstrated by the test units it was projected that the 2nd generation units would achieve ~58% energy savings relative to the minimum efficiency suite at the Zebra Alliance site with horizontal GHX. A new product based on the beta unit design was announced by CM in 2012 the Trilogy 40 Q-mode (http://cmdealernet.com/trilogy_40.html). The unit was formally introduced in a March 2012 press release (see Appendix A) and was available for order beginning in December 2012.

  18. 24897Federal Register / Vol. 62, No. 88 / Wednesday, May 7, 1997 / Proposed Rules 1 Petition for review pending, GS Roofing

    E-Print Network [OSTI]

    for review pending, GS Roofing Products Company, Inc., et al. v. Surface Transportation Board, No. 97107 (8: In a decision in GS Roofing Products Company, Inc., Beazer West, Inc., D/B/ A Gifford Hill & Company, Bean., Docket No. 41230 (STB served Mar. 11, 1997) (GS Roofing), 1 we reviewed a fact- specific complaint

  19. Accelerator and Experiment Schedule

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

    Nominal Dates for Scheduling Requests (updated July 10, 2014) Please see the information for the requirements before scheduling can be requested at http:www.jlab.org...

  20. W.B.; Allison, G.S. 21 SPECIFIC NUCLEAR REACTORS AND ASSOCIATED...

    Office of Scientific and Technical Information (OSTI)

    nuclear fuel bundle data for use in fuel bundle handling Weihermiller, W.B.; Allison, G.S. 21 SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS; FUEL ELEMENT CLUSTERS; REMOTE...

  1. NRC comprehensive records disposition schedule. Revision 3

    SciTech Connect (OSTI)

    1998-02-01

    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).

  2. Efficient algorithms for a scheduling problem and its applications to illicit drug market crackdowns

    E-Print Network [OSTI]

    Krovi, Venkat

    scheduling problem. By duality we transform a special case of the drug market crackdown scheduling problemEfficient algorithms for a scheduling problem and its applications to illicit drug market for the general case of the drug market crackdown scheduling problem with monomial cost functions. key words: job

  3. Wireless Scheduling Mung Chiang

    E-Print Network [OSTI]

    Chiang, Mung

    Wireless Scheduling Mung Chiang Electrical Engineering, Princeton University WiOpt Seoul, Korea June 23, 2009 #12;Outline Structured teaser on wireless scheduling Focus on key ideas and 10 open

  4. Dedicated heterogeneous node scheduling including backfill scheduling

    DOE Patents [OSTI]

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

    2006-07-25

    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.

  5. _PART I - THE SCHEDULE

    National Nuclear Security Administration (NNSA)

    H, Page i PART I - THE SCHEDULE TABLE OF CONTENTS SECTION B: SUPPLIES OR SERVICES AND PRICESCOSTS ... 3 B-1...

  6. Waveform Timing Performance of a 5 GS/s Fast Pulse Sampling Module with DRS4

    E-Print Network [OSTI]

    Jinhong Wang; Shubin Liu; Qi An

    2015-01-04

    We first clarify timing issues of non-uniform sampling intervals regarding a 5 GS/s fast pulse sampling module with DRS4. Calibration strategy is proposed, and as a result, the waveform timing performance is improved to be below 10 ps RMS. We then further evaluate waveform timing performance of the module by comparing with a 10 GS/s oscilloscope in a setup with plastic scintillators and fast PMTs. Different waveform timing algorithms are employed for analysis, and the module shows comparable timing performance with that of the oscilloscope.

  7. 2016 Power Rate Schedules and General Rate Schedule Provisions

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

    Provisions (FY 2016-2017) October 2015 United States Department of Energy Bonneville Power Administration 905 N.E. 11th Avenue Portland, OR 97232 Bonneville Power...

  8. 2016 Power Rate Schedules and General Rate Schedule Provisions

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-InspiredAtmosphericdevicesPPONeApril 30,University Turbine Systems55 13 2 20156

  9. Thompson March 2003 -1STEREO -Solar Terrestrial Relations Observatory Mission STEREO GS PR

    E-Print Network [OSTI]

    -www.nrl.navy.mil] S/WAVES Heritage: WIND WAVES [www-lep.gsfc.nasa.gov/waves/waves.html] IMPACT Heritage: WIND 3Dp.sr.unh.edu/data.html] and at UCLA with IMPACT #12;Thompson March 2003 - 7STEREO - Solar Terrestrial Relations Observatory MissionThompson March 2003 - 1STEREO - Solar Terrestrial Relations Observatory Mission STEREO GS PR

  10. Ernst Stadlober, Siegfried Hrmann, Brigitte Pfeiler 1 Institute of Statistics EU-Project KAPA-GS

    E-Print Network [OSTI]

    Stadlober, Ernst

    , anthropogenic factors Prediction model #12;Ernst Stadlober, Siegfried Hrmann, Brigitte Pfeiler 3 Institute-GS Technical University Graz Situation in Graz Data: 2001-2004 Location: Graz Nord (Urban residential area conditions Low wind velocities Low precipitation Many days with temperature inversion Usual anthropogenic

  11. Wholesale Power Rate Schedules | Department of Energy

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

    Rate Schedules Wholesale Power Rate Schedules Wholesale Power Rate Schedules October 1, 2012 ALA-1-N Wholesale Power Rate Schedule Area: PowerSouth Energy Cooperative System:...

  12. Math Courses Schedule

    E-Print Network [OSTI]

    $author.value

    Course Schedules. A complete list of times, room numbers, and instructors of classes offered by the Department of Mathematics. Fall 2015 Fall 2015 (By Name)...

  13. k=10 GS PC TPDA GES Ave. Bayesian Score Results -Child -Sample Size 500

    E-Print Network [OSTI]

    Brown, Laura E.

    SC k=10 GS PC TPDA GES Bayesian Score (BDeu) Ave. Bayesian Score Results - Child - Sample Size 500 - Sample Size 500 Error Bars = +/- Std.Dev. -130 -120 -110 -100 -90 MMHC OR1 k=5 OR1 k=10 OR1 k=20 OR2 k=5 - Child5 - Sample Size 500 Error Bars = +/- Std.Dev. -260 -240 -220 -200 -180 * MMHC OR1 k=5 OR1 k=10 OR1

  14. k=10 GS PC TPDA GES Average SHD Results -Child -Sample Size 500

    E-Print Network [OSTI]

    Brown, Laura E.

    TPDA GES Structural Hamming Distance Average SHD Results - Child - Sample Size 500 Error Bars = +/- Std GS PC TPDA GES Structural Hamming Distance Average SHD Results - Child3 - Sample Size 500 Error Bars = +/- Std.Dev. 0 100 200 300 400 500 600 MMHC OR1 k=5 OR1 k=10 OR1 k=20 OR2 k=5 OR2 k=10 OR2 k=20 SC k=5 SC

  15. GAnGS: Gather, Authenticate 'n Group Securely Chia-Hsin Owen Chen

    E-Print Network [OSTI]

    Xu, Wenyuan

    in a scalable, secure, and easy to use fashion. In this paper, we propose GAnGS, a protocol for the se- cure Factors This research was supported in part by the iCAST project under grant NSC96-3114-P-001-002-Y from or any of its agencies. Permission to make digital or hard copies of all or part of this work

  16. Project organizations and schedules

    SciTech Connect (OSTI)

    Briggs, R.J.

    1990-07-01

    The Superconducting Super Collider Laboratory (SSCL) faces the challenge of simultaneously carrying out a large-scale construction project with demanding cost, schedule, and performance goals; and creating a scientific laboratory capable of exploiting this unique scientific instrument. This paper describes the status of the laboratory organization developed to achieve these goals, and the major near-term schedule objectives of the project.

  17. Preemptive scheduling with position costs

    E-Print Network [OSTI]

    In most scheduling models presented in the literature [3, 10], the cost for ... Preemptive scheduling in order to minimize the total position costs also stems.

  18. Nonserial Dynamic Programming with Applications in Smart Home Appliances Scheduling Part II: Nonserial Dynamic Programming

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    Nonserial Dynamic Programming with Applications in Smart Home Appliances Scheduling Part II) is presented. The problem in this paper generalizes the smart home appliances scheduling problem introduced the following smart home appliances scheduling problem described in the companion paper [3], as the later

  19. Aalborg Universitet Generation-Side Power Scheduling in a Grid-Connected DC Microgrid

    E-Print Network [OSTI]

    Vasquez, Juan Carlos

    Aalborg Universitet Generation-Side Power Scheduling in a Grid-Connected DC Microgrid Hernndez). Generation-Side Power Scheduling in a Grid-Connected DC Microgrid. In IEEE ICDCM 2015. IEEE. General rights.aau.dk on: juli 04, 2015 #12;Generation-Side Power Scheduling in a Grid-Connected DC Microgrid Adriana C

  20. Experiment Scheduling Committee

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

    Experiment Scheduling Committee Title Name Phome Email Deputy Director for Research Bob McKeown (757) 269-6481 bmck@jlab.org Physics Division AD (co-chair) Rolf Ent (757) 269-7373...

  1. Energy Exchange Schedule

    Broader source: Energy.gov [DOE]

    The schedule for Energy Exchangeis now available. Attendees will have the option of attending a variety of training sessions offered within 10 tracks during the times listed below. Session details...

  2. _PART I - THE SCHEDULE

    National Nuclear Security Administration (NNSA)

    572 dated 3215 Contract No. DE-AC04-94AL85000 Modification No. M202 Page 2 Part I - The Schedule Sections B through H TABLE OF CONTENTS B-1 SERVICES BEING ACQUIRED...

  3. _PART I - THE SCHEDULE

    National Nuclear Security Administration (NNSA)

    93015 to Mod 0588 Contract No. DE-AC04-94AL85000 Modification No. M202 Page 2 Part I - The Schedule Sections B through H TABLE OF CONTENTS B-1 SERVICES BEING ACQUIRED...

  4. Pushing schedule derivation method

    SciTech Connect (OSTI)

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

    1996-12-31

    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.

  5. Model Energy Savings Performance Contract, Schedules, and Exhibits...

    Energy Savers [EERE]

    and Payment Schedule Schedule J: Compensation to ESCO for Annual Services Schedule K: Rebates, Incentives and Grants Schedule L: Contingency Fund Schedules M-P: Left blank for...

  6. A verification of the gyrokinetic microstability codes GEM, GYRO, and GS2

    SciTech Connect (OSTI)

    Bravenec, R. V.; Chen, Y.; Wan, W.; Parker, S.; Candy, J.

    2013-10-15

    A previous publication [R. V. Bravenec et al., Phys. Plasmas 18, 122505 (2011)] presented favorable comparisons of linear frequencies and nonlinear fluxes from the Eulerian gyrokinetic codes gyro[J. Candy and R. E. Waltz, J. Comput. Phys. 186, 545 (2003)] and gs2[W. Dorland et al., Phys. Rev. Lett. 85, 5579 (2000)]. The motivation was to verify the codes, i.e., demonstrate that they correctly solve the gyrokinetic-Maxwell equations. The premise was that it is highly unlikely for both codes to yield the same incorrect results. In this work, we add the Lagrangian particle-in-cell code gem[Y. Chen and S. Parker, J. Comput. Phys. 220, 839 (2007)] to the comparisons, not simply to add another code, but also to demonstrate that the codes' algorithms do not matter. We find good agreement of gem with gyro and gs2 for the plasma conditions considered earlier, thus establishing confidence that the codes are verified and that ongoing validation efforts for these plasma parameters are warranted.

  7. The HI supershell GS 118+01-44 and its role in the interstellar medium

    E-Print Network [OSTI]

    Suad, L A; Noriega-Crespo, A; Arnal, E M; Testori, J C; Flagey, N

    2015-01-01

    We carry out a multiwavelength study to characterize the HI supershell designated GS 118+01-44, and to analyse its possible origin. A multiwavlength study has been carried out to study the supershell and its environs. We performed an analysis of the HI, CO, radio continuum, and infrared emission distributions. The Canadian Galactic Plane Survey (CGPS) HI data reveals that GS 118+01-44 is centred at (l, b) = (117.7, 1.4) with a systemic velocity of -44.3 km/s. According to Galactic rotation models this structure is located at 3.0 +- 0.6 kpc from the Sun. There are several HII regions and three supernova remnants (SNRs) catalogued in the region. On the other hand, the analysis of the temperature spectral index distribution shows that in the region there is a predominance of non-thermal emission. Infrared emission shows that cool temperatures dominate the area of the supershell. Concerning the origin of the structure, we found that even though several OB stars belonging to Cas OB5 are located in the interior of ...

  8. Position Management and Classification

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

    2014-10-30

    The Order establishes Departmental requirements and responsibilities for classifying positions using the General Schedule (GS) and the Federal Wage System (FWS) standards.

  9. CE 4990 -Construction Scheduling Integrating Cost and Schedule

    E-Print Network [OSTI]

    Mukherjee, Amlan

    CE 4990 - Construction Scheduling Integrating Cost and Schedule March 16, 2012 Definitions The goal) = BCWP/BCWS Cost Variance (CV) = BCWP - ACWP Cost Performance Index (CPI) = BCWP/ACWP EAC = ACWP is to develop integrated metrics for measuring cost and schedule performance. This note provides guidelines

  10. CE 4990 -Construction Scheduling Integrating Cost and Schedule

    E-Print Network [OSTI]

    ) = BCWP/BCWS Cost Variance (CV) = BCWP - ACWP Cost Performance Index (CPI) = BCWP/ACWP EAC = ACWPCE 4990 - Construction Scheduling Integrating Cost and Schedule March 16, 2012 Definitions The goal is to develop integrated metrics for measuring cost and schedule performance. This note provides guidelines

  11. EDF Scheduling Identical Multiprocessor Systems

    E-Print Network [OSTI]

    Navet, Nicolas

    -plate Nuclear Reactor STOP !!! Year Power density (W/cm2) P V f: Clock speed limited to less than 4 GHz #12;June Systems Solid theory (starting from the 70s) Optimal schedulers Tight schedulability tests for different

  12. schedule_2005.xls

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

    5 Long Range Operations Schedule (October 2004 - September 2005) 1 1 1 1 1 4 1 1 1 1 1 1 1 2 2 2 1 2 2 4 2 4 2 2 2 2 2 2 3 3 3 1 3 3 4 3 4 3 3 3 3 3 5 3 4 4 4 1 ...

  13. 1 International Way, Stratford, London E20 1GS New for September 2014, Stratford ONE offers great value,

    E-Print Network [OSTI]

    Crawford, Ian

    transport links across London. +44(0)2074213468 #12;MORRISROAD SWORTHRD STEPNEY GREEN BEN JONSON ROAD MARSSTRATFORD ONE 1 International Way, Stratford, London E20 1GS #12;New for September 2014, Stratford and a gym. Central London is less than 10 minutes' journey, giving you quick links to your university. Feel

  14. Extended detailed balance for systems with irreversible reactions A.N. Gorban a,, G.S. Yablonsky b

    E-Print Network [OSTI]

    Banaji,. Murad

    Extended detailed balance for systems with irreversible reactions A.N. Gorban a,, G.S. Yablonsky b 2011 Keywords: Reaction network Detailed balance Microreversibility Pathway Irreversibility Kinetics a b s t r a c t The principle of detailed balance states that in equilibrium each elementary process

  15. Advance Resource Provisioning in Bulk Data Scheduling

    SciTech Connect (OSTI)

    Balman, Mehmet

    2012-10-01

    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.

  16. Introduction Coordinated Aggregation Resource Scheduling Reserve Scheduling Coordinated Aggregation of Distributed

    E-Print Network [OSTI]

    Resource Scheduling Reserve Scheduling Power Balance Available power g(t) - Bulk power B - Load Aggregation Resource Scheduling Reserve Scheduling Power Balance ... !" #$%&"'()*+" " ,*-*+.*-" " ,*/*)01" devil is in the details what variability? - variability in wind or rooftop solar? - what time scales

  17. New insights into the quasi-periodic X-ray burster GS 0836-429

    E-Print Network [OSTI]

    Aranzana, E; Kuulkers, E

    2015-01-01

    GS 0836-429 is a neutron star X-ray transient that displays Type-I X-ray bursts. In 2003 and 2004 it experienced two outbursts in X-rays. We present here an analysis of the system bursting properties during these outbursts. We studied the evolution of the 2003-2004 outbursts in soft X-rays using RXTE (2.5-12 keV; ASM), and in hard X-rays with INTEGRAL (17-80 keV, IBIS/ISGRI). Using data from the JEM-X monitor onboard INTEGRAL we detected 61 Type-I X-ray bursts, and confirm that the source displayed a quasi-periodic burst recurrence time of about 2.3 hours. We improve the characterization of the fuel composition, as well as the description of the typical burst durations and fluences. We estimate the average value of $\\alpha$ to be $49\\pm\\,3$. This value together with the observed burst profiles indicate a regime of a mixed He/H runaway triggered by unstable helium ignition. In addition, we report the detection of four series of double bursts, with burst recurrence times of $\\leq\\,20$ minutes. The measured recu...

  18. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDidDevelopment Top LDRDUniversity PartnershipsSavannahSchedule

  19. Schedule of Events

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDidDevelopment Top LDRDUniversity PartnershipsSavannahScheduleEvents

  20. LANSCE | User Resources | 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid you notHeat Pumps HeatTechnologies| BlandineHistory FromSchedules You

  1. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACTThousand CubicResource and JobLCLS Operating Schedule August - December

  2. Green Scheduling: Scheduling of Control Systems for Peak Power Reduction

    E-Print Network [OSTI]

    Pappas, George J.

    Green Scheduling: Scheduling of Control Systems for Peak Power Reduction Truong Nghiem, Madhur Behl, George J. Pappas and Rahul Mangharam Department of Electrical and Systems Engineering University and air quality control systems within buildings and datacenters operate independently of each other

  3. Online Energy Generation Scheduling for Microgrids with

    E-Print Network [OSTI]

    Zhang, Junshan

    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

  4. FREH CONFERENCE ROOMS Scheduling Requirements

    E-Print Network [OSTI]

    Pittendrigh, Barry

    1/12/2015 FREH CONFERENCE ROOMS Scheduling Requirements: The 1st or 2nd Floor Operations Clerk it in the location or the body of the room reservation. Schedule ALL conference rooms and/or equipment needs ONLY" dumpster outside by the loading dock. Please CANCEL the conference room reservation

  5. RXTE Observations of an Outburst of Recurrent X-ray Nova GS 1354-644

    E-Print Network [OSTI]

    Mikhail G. Revnivtsev; Konstantin N. Borozdin; William C. Priedhorsky; Alexey Vikhlinin

    1999-10-13

    We present the results of Rossi X-ray Timing Explorer observations of GS 1354-644 during a modest outburst in 1997-1998. The source is one of a handful of black hole X-ray transients that are confirmed to be recurrent in X-rays. A 1987 outburst of the same source observed by Ginga was much brighter, and showed a high/soft spectral state. In contrast the 1997-1998 outburst showed a low/hard spectral state. Both states are typical for black hole binaries. The RXTE All Sky Monitor observed an outburst duration of 150 to 200 days. PCA and HEXTE observations covered ~70 days near the maximum of the light curve and during the flux decline. Throughout the observations, the spectrum can be approximated by Compton upscattering of soft photons by energetic electrons. The hot electron cloud has a temperature kT ~30 keV and optical depth tau~4--5. To fit the data well an additional iron fluorescent line and reflection component are required, which indicates the presence of optically thick cool material, most probably in the outer part of the accretion disk. Dramatic fast variability was observed, and has been analyzed in the context of a shot noise model. The spectrum appeared to be softest at the peaks of the shot-noise variability. The shape of the power spectrum was typical for black hole systems in a low/hard state. We note a qualitative difference in the shape of the dependence of fractional variability on energy, when we compare systems with black holes and with neutron stars. Since it is difficult to discriminate these systems on spectral grounds, at least in their low/hard states, this new difference might be important.

  6. Cyclical-Transmission-Schedule Reservation Technique

    E-Print Network [OSTI]

    Garcia-Luna-Aceves, J.J.

    2010-01-01

    52) (58) (56) CYCLICAL-TRANSMISSION-SCHEDULE 6,118,787 A *for Topology Dependent Transmission Scheduling, in Proc.times an associ- ated transmission waiting time; and

  7. Simultaneous Design, Scheduling and Operation Through Process Integration

    E-Print Network [OSTI]

    Al-Mutairi, Eid M.

    2009-05-15

    detailed crude oil processing schedule, process unit schedule and blending and shipping schedule. The purpose of the scheduling is to transform the production plan into a schedule useful for all operations within a time horizon of a few days...

  8. Scheduling Sparse Numerical Computations Energy & Performance Efficiencies

    E-Print Network [OSTI]

    Raghavan, Padma

    Impacts on algorithm & s/w design-- opportunities for scheduling II. Energy-Aware Scaling Increasing & managing power for O(N) sparse graph/matrix Algorithm/library design for parallelism and dynamic efficiency: Examples of algorithm & s/w redesign through scheduling Summary #12;Scheduling I. Scheduling

  9. On parallel machine scheduling 1

    E-Print Network [OSTI]

    Magdeburg, Universität

    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

  10. LCLS Operations Schedule January February...

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

    Operations Schedule January February March April May June July August September October November December 2009 Run 1 Oct. 1-Dec. 17 2010 Run 2 Run 3 May 6 - Sep. 13 Oct. 7 - Dec....

  11. robust passenger oriented airline scheduling

    E-Print Network [OSTI]

    Luis

    2010-10-29

    decision-making process, referred to as airline schedule planning. ... the future passenger demand on each market is of priority concern in the planning ..... Disrupted passengers are passengers that the company does not attend due to lack of.

  12. TIME SCHEDULE WINTER QUARTER 1970

    E-Print Network [OSTI]

    Kaminsky, Werner

    MASTER CON TIME SCHEDULE WINTER QUARTER 1970 ADVANCE REGISTRATION NOVEMBER 3-21 IN, please leave it or pass it along so that other students may use it. #12;Winter Quarter 1970. Examination

  13. General Permit General Permit

    E-Print Network [OSTI]

    L General Permit Parking LOT A General Permit Parking LOT C General Permit Parking LOT R Reserved Parking LOT D Faculty/Staff Parking LOT K General Permit Parking LOT J Reserved Parking PV LOT General Parking after 3 p.m. WEST CAMPUS PARKING LOT O General Permit Parking LOT M General Permit Parking LOT P

  14. General Permit General Permit

    E-Print Network [OSTI]

    98 28 28 60 96 31 7 23 LOT L General Permit Parking LOT A General Permit Parking LOT C General Permit Parking LOT R Reserved Parking LOT D Faculty/Staff Parking LOT K General Permit Parking LOT J Reserved Parking PV LOT General Parking after 3 p.m. WEST CAMPUS PARKING LOT O General Permit Parking LOT M General

  15. A 4.2 GS/sec. Synchronized Vertical Excitation System for SPS Studies - Steps Toward Wideband Feedback

    SciTech Connect (OSTI)

    Fox, John

    2012-07-10

    A 4.2 GS/sec. beam excitation system with accelerator synchronization and power stages is described. The system is capable of playing unique samples (32 samples/bunch) for 15,000 turns on selected bunch(es) in the SPS in syn- chronism with the injection and acceleration cycle. The purpose of the system is to excite internal modes of single-bunch vertical motion, and study the bunch dynamics in the presence of developing Electron cloud or TMCI effects. The system includes a synchronized master oscillator, SPS timing functions, an FPGA based arbitrary waveform generator, 4.2 GS/sec. D/A system and four 80W 20-1000 MHz amplifiers driving a tapered stripline pickup/kicker. A software GUI allows specification of various modulation signals, selection of bunches and turns to excite, while a remote control interface allows simple control/monitoring of the RF power stages located in the tunnel. The successful use of this system for SPS MD measurements in 2011 is a vital proof-of-principle for wideband feedback using similar functions to correct the beam motion.

  16. The Outbursts and Orbit of the Accreting Pulsar GS 1843-02 = 2S 1845-024

    E-Print Network [OSTI]

    Mark H. Finger; Lars Bildsten; Deepto Chakrabarty; Thomas A. Prince; D. Matthew Scott; Colleen A. Wilson; Robert B. Wilson; S. Nan Zhang

    1998-12-30

    We present observations of a series of 10 outbursts of pulsed hard X-ray flux from the transient 10.6 mHz accreting pulsar GS 1843-02, using the Burst and Transient Source Experiment on the Compton Gamma Ray Observatory. These outbursts occurred regularly every 242 days, coincident with the ephemeris of the periodic transient GRO J1849-03 (Zhang et al. 1996), which has recently been identified with the SAS 3 source 2S 1845-024 (Soffitta et al. 1998). Our pulsed detection provides the first clear identification of GS 1843-02 with 2S 1845-024. We present a pulse timing analysis which shows that the 2S 1845-024 outbursts occur near the periastron passage of the neutron star's highly eccentric (e = 0.88+-0.01) 242.18+-0.01 day period binary orbit about a high mass (M > 7 solar masses) companion. The orbit and transient outburst pattern strongly suggest the pulsar is in a binary system with a Be star. Our observations show a long-term spin-up trend, with most of the spin-up occurring during the outbursts. From the measured spin-up rates and inferred luminosities we conclude that an accretion disk is present during the outbursts.

  17. Geotech Smart24 data acquisition system input terminated noise seismic response adjusted test : StreckeisenSTS2-low and high gain, Guralp CMG3T and Geotech GS13 seismometers.

    SciTech Connect (OSTI)

    Rembold, Randy Kai; Hart, Darren M.; Harris, James Mark

    2008-08-01

    Sandia National Laboratories has tested, evaluated and reported on the Geotech Smart24 data acquisition system with active Fortezza crypto card data signing and authentication in SAND2008-. One test, Input Terminated Noise, allows us to characterize the self-noise of the Smart24 system. By computing the power spectral density (PSD) of the input terminated noise time series data set and correcting for the instrument response of different seismometers, the resulting spectrum can be compared to the USGS new low noise model (NLNM) of Peterson (1996), and determine the ability of the matched system of seismometer and Smart24 to be quiet enough for any general deployment location. Four seismometer models were evaluated: the Streckeisen STS2-Low and High Gain, Guralp CMG3T and Geotech GS13 models. Each has a unique pass-band as defined by the frequency band of the instrument corrected noise spectrum that falls below the new low-noise model.

  18. Graduate Program Time Limits and Work Schedules

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

    Time Limits and Work Schedules Graduate Program Time Limits and Work Schedules Point your career towards Los Alamos Lab: work with the best minds on the planet in an inclusive...

  19. Human aspects of scheduling : a case study

    E-Print Network [OSTI]

    Boasson, Yishai, 1973-

    2006-01-01

    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, ...

  20. Automated and Optimized Project Scheduling Using BIM

    E-Print Network [OSTI]

    Faghihi, Vahid

    2014-04-04

    Construction project scheduling is one of the most important tools for project managers in the Architecture, Engineering, and Construction (AEC) industry. The Construction schedules allow project managers to track and manage the time, cost...

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

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

    information, sensitive unclassified information, special nuclear materials, nuclear weapons, other Government property) ADMINISTRATIVE RECORDS SCHEDULE 18: SECURITY,...

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

    Energy Savers [EERE]

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

  3. Technical Report: CS-TR-2013-010, UTSA Scheduling Algorithms for Elastic Mixed-Criticality Tasks in Multicore Systems

    E-Print Network [OSTI]

    Zhu, Dakai

    -oriented functionality (e.g., cap- turing photos in unmanned aerial vehicles) [1]. Note that, in general, the flight-criticalTechnical Report: CS-TR-2013-010, UTSA Scheduling Algorithms for Elastic Mixed-Criticality Tasks--The Elastic Mixed-Criticality (E-MC) task model and an Early-Release EDF (ER-EDF) scheduling algorithm have

  4. Linux Kernel Co-Scheduling For Bulk Synchronous Parallel Applications...

    Office of Scientific and Technical Information (OSTI)

    INFORMATION SCIENCE; ALGORITHMS; DESIGN; IMPLEMENTATION; KERNELS; PERFORMANCE; SUPERCOMPUTERS Operating systems; OS noise; OS interference; co-scheduling; coordinated scheduling...

  5. COMPUTER INFORMATION SYSTEMS Suggested Schedule

    E-Print Network [OSTI]

    Thaxton, Christopher S.

    Sophomore Year 3rd Semester Senior Year 7th Semester *ACC 2100 (must make a "C-" or better) *ECO 2030COMPUTER INFORMATION SYSTEMS 2011-2012 BSBA Suggested Schedule Freshman Year 1st Semester Junior Year 5th Semester *ENG 1000 (must make a "C" or better) UCO 1200 (First Year Seminar) Gen. Ed

  6. ANALYSING DYNAMIC FUNCTION SCHEDULING DECISIONS

    E-Print Network [OSTI]

    Harrison, Michael

    , University of York, York YO10 5DD, UK Abstract: Function allocation, as a process used in the construction, the notion of dynamic function allocation becomes increasingly desirable where in certain situations of dynamic function allocation that reflects typical work activity where the dynamic scheduling of activities

  7. Criteria-Directed Task Scheduling Thomas Wagner

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    to task scheduling called Design-to-Criteria that controls the combinatorics via a satis cing methodology and custom designs schedules to meet a particular client's goal criteria. In Design-to- Criteria, criteria the scheduling problem tractable. We describe the interesting facets of the Design-to-Criteria approach and give

  8. Scheduling Wireless Links with Successive Interference Cancellation

    E-Print Network [OSTI]

    Scheduling Wireless Links with Successive Interference Cancellation Olga Goussevskaia Department@tik.ee.ethz.ch Abstract--In this paper we study the problem of scheduling wireless links in a model where successive in strength significantly. It has been shown that the problem of scheduling wireless links with successive

  9. P.A. Nelson S.M. Kajiura G.S. Losey Exposure to solar radiation may increase ocular UV-filtering

    E-Print Network [OSTI]

    Kajiura, Stephen

    P.A. Nelson S.M. Kajiura G.S. Losey Exposure to solar radiation may increase ocular UV levels of solar radiation than they had previously experienced in the source habitat in the turbid waters spectrum, but sharks exposed to greater solar radiation showed increased UV blocking in their corneal

  10. Environmental surveillance master sampling schedule

    SciTech Connect (OSTI)

    Bisping, L.E.

    1995-02-01

    Environmental surveillance of the Hanford Site and surrounding areas is conducted by the Pacific Northwest Laboratory (PNL) for the U.S. Department of Energy (DOE). 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 onsite drinking water falls outside the scope of the SESP. PNL conducts the drinking water monitoring project concurrent with the SESP to promote efficiency and consistency, utilize 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. Sampling is indicated as annual, semi-annual, quarterly, or monthly in the sampling schedule. Some samples are collected and analyzed as part of ground-water monitoring and characterization programs at Hanford (e.g. Resources Conservation and Recovery Act (RCRA), Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA), or Operational). The number of samples planned by other programs are identified in the sampling schedule by a number in the analysis column and a project designation in the Cosample column. Well sampling events may be merged to avoid redundancy in cases where sampling is planned by both-environmental surveillance and another program.

  11. Disposition Schedules | 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: Alternative Fuels Data Center HomeVehicleDepartment ofGraphics » DOEDisposition Schedules

  12. General Engineer / Physical Scientist

    Broader source: Energy.gov [DOE]

    A successful candidate in this position will... Serve as an Assistant to the Federal Project Director Manage and/or support programs and projects, as assigned Develop to the full GS-14 performance...

  13. NuSTAR DETECTION OF HARD X-RAY PHASE LAGS FROM THE ACCRETING PULSAR GS 0834430

    SciTech Connect (OSTI)

    Miyasaka, Hiromasa; Harrison, Fiona A.; Frst, Felix; Bellm, Eric C.; Grefenstette, Brian W.; Madsen, Kristin K.; Walton, Dominic J. [Cahill Center for Astronomy and Astrophysics, California Institute of Technology, Pasadena, CA 91125 (United States); Bachetti, Matteo; Barret, Didier [Universit de Toulouse, UPS-OMP, IRAP, F-31400 Toulouse (France); Boggs, Steven E.; Craig, William W.; Tomsick, John A. [Space Sciences Laboratory, University of California, Berkeley, CA 94720 (United States); Chakrabarty, Deepto [Kavli Institute for Astrophysics and Space Research, Massachusetts Institute of Technology, Cambridge, MA 02139 (United States); Chenevez, Jerome; Christensen, Finn E. [DTU Space, National Space Institute, Technical University of Denmark, Elektrovej 327, DK-2800 Lyngby (Denmark); Hailey, Charles J. [Columbia Astrophysics Laboratory, Columbia University, New York, NY 10027 (United States); Natalucci, Lorenzo [Istituto di Astrofisica e Planetologia Spaziali, INAF, Via Fosso del Cavaliere 100, Roma I-00133 (Italy); Pottschmidt, Katja [CRESST, UMBC, and NASA GSFC, Code 661, Greenbelt, MD 20771 (United States); Stern, Daniel [Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109 (United States); Wilms, Jrn, E-mail: miyasaka@srl.caltech.edu [Dr. Karl-Remeis-Sternwarte and ECAP, Sternwartstr. 7, D-96049 Bamberg (Germany); and others

    2013-09-20

    The Nuclear Spectroscopic Telescope Array hard X-ray telescope observed the transient Be/X-ray binary GS 0834430 during its 2012 outburstthe first active state of this system observed in the past 19 yr. We performed timing and spectral analysis and measured the X-ray spectrum between 3-79 keV with high statistical significance. We find the phase-averaged spectrum to be consistent with that observed in many other magnetized, accreting pulsars. We fail to detect cyclotron resonance scattering features that would allow us to constrain the pulsar's magnetic field in either phase-averaged or phase-resolved spectra. Timing analysis shows a clearly detected pulse period of ?12.29 s in all energy bands. The pulse profiles show a strong, energy-dependent hard phase lag of up to 0.3 cycles in phase, or about 4 s. Such dramatic energy-dependent lags in the pulse profile have never before been reported in high-mass X-ray binary pulsars. Previously reported lags have been significantly smaller in phase and restricted to low energies (E < 10 keV). We investigate the possible mechanisms that might produce this energy-dependent pulse phase shift. We find the most likely explanation for this effect is a complex beam geometry.

  14. Spent nuclear fuel project integrated schedule plan

    SciTech Connect (OSTI)

    Squires, K.G.

    1995-03-06

    The Spent Nuclear Fuel Integrated Schedule Plan establishes the organizational responsibilities, rules for developing, maintain and status of the SNF integrated schedule, and an implementation plan for the integrated schedule. The mission of the SNFP on the Hanford site is to provide safe, economic, environmentally sound management of Hanford SNF in a manner which stages it to final disposition. This particularly involves K Basin fuel.

  15. APCF Construction Schedule | Advanced Photon Source

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

    ahead schedule, please click the PDF calendar to the left. The potential for ground vibration is noted in the "Impact" column (None, Small, Moderate, High, Very High). Daily...

  16. INSTRUCTIONS for COMPLETING SCHEDULE CARD WEB FORMS

    E-Print Network [OSTI]

    Kelly Beranger

    2012-03-22

    Mar 22, 2012 ... INSTRUCTIONS for COMPLETING SCHEDULE CARD WEB FORMS. Please view rather than print this information. Current deadlines can be...

  17. Rate Schedule CV-RFS4

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

    load and for maintaining scheduled interconnection frequency at 60-cycles per second. Formula Rate: The formula rate for regulation includes three components: Component 1: Annual...

  18. JOBAID- WITHDRAWING FROM A SCHEDULED OFFERING

    Broader source: Energy.gov [DOE]

    The purpose of this job aid is to guide users through the step-by-step process of withdrawing from a scheduled offering.

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

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

    activities. Many of these records have continuing historical value after they are no longer of use to the Department. This records schedule covers only disposable records...

  20. 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...

  1. AVLIS production plant project schedule and milestones

    SciTech Connect (OSTI)

    Not Available

    1984-11-15

    An AVLIS Production Plant Deployment Schedule for the engineering, procurement, and construction for both the Initial Increment of Production and the fully Activated Plant, has been developed by the project team consisting of Lawrence Livermore National Laboratory, Martin Marietta Energy Systems, Inc. with architect-engineer support from Bechtel National, Inc., Stone and Webster Engineering Corporation, and Westinghouse Corporation. The initial deployment phase consists of six separators modules and the three laser power amplifier modules consistent with the FY84 reference design with a name plate capacity of 5 million separative work units/yr followed by a full plant activation to approximately 13 million separative work units/yr. The AVLIS Production Plant project team's strategy for deployment schedule analysis focused on three schedule options: engineering limited schedule; authorization limited schedule; and funding limited project schedule. The three deployment schedule options developed by AVLIS project team have been classified in ranges such as an optimistic, rapid/moderate, or moderate/pessimistic based on the probability of meeting the individual schedule option's major milestones or program objectives of enriching uranium by the AVLIS process in an effective cost and schedule manner. 47 figures, 7 tables.

  2. Schedule

    E-Print Network [OSTI]

    C: Todd Quinto (Tufts University): The Microlocal Analysis of some ... D: Faouzi Triki (Laboratoire Jean Kuntzmann, France): Vibration potential tomography...

  3. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDidDevelopment Top LDRDUniversity

  4. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-ThroughputUpcoming ReleaseSecurityPediatric Cancer ResearchNarrowsNationalPlease

  5. Scheduling: Proportional Share In this chapter, we'll examine a different type of scheduler known as a

    E-Print Network [OSTI]

    Arpaci-Dusseau, Remzi

    9 Scheduling: Proportional Share In this chapter, we'll examine a different type of scheduler known as a proportional-share scheduler, also sometimes referred to as a fair-share scheduler. Proportional-share is based of proportional-share scheduling is found in research by Waldspurger and Weihl [WW94], and is known as lottery

  6. Bandwidth Guaranteed Multicast Scheduling for Virtual Output Queued Packet Switches

    E-Print Network [OSTI]

    Pan, Deng

    Bandwidth Guaranteed Multicast Scheduling for Virtual Output Queued Packet Switches Deng Pan Dept in Internet multimedia applications. Although several multicast scheduling schemes for packet switches have output queued (VOQ) switches. We propose the Credit based Multicast Fair scheduling (CMF) algorithm

  7. Scheduling on the MasPar SIMD parallel computer

    E-Print Network [OSTI]

    Perkins, Keith Douglas

    1995-01-01

    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...

  8. Time and event triggered communication scheduling for automotive applications

    E-Print Network [OSTI]

    Johansson, Roger

    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

  9. Microgrid Reliability Modeling and Battery Scheduling Using Stochastic Linear Programming

    E-Print Network [OSTI]

    Cardoso, Goncalo

    2014-01-01

    E: min E = eGd + eM + ? ? p ? (eGs ? + eU ? ) Subject to:ESB + ESd + ESs ? = EU ? + EGs ? + EGd + EPB Heat balance HLLd ? EGd + ESd ? Ud Ls ? EGs ? + ESs ? ? Us ? EC, ESB, EPB,

  10. Environmentally Conscious Hoist Scheduling for Electroplating Facilities

    E-Print Network [OSTI]

    Huang, Yinlun

    coating on workpieces. In the U.S., there are over 10,000 electroplating plants, which pro- vide numerousEnvironmentally Conscious Hoist Scheduling for Electroplating Facilities ISIK KUNTAY, QIANG XU University, Detroit, Michigan Hoist scheduling in electroplating operations has long been considered a key

  11. Planning and Scheduling to Minimize Makespan & Tardiness

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    by give-and- take. Approach Planner Schedulers And so forth until agreement is reached. #12;14 In practice, problem is often solved by give-and- take. Approach Planner Schedulers And so forth until agreement is reached. Benders decomposition is a mathematical formulation of this process. Planning is the master

  12. PROJECT SCHEDULING: IMPROVED APPROACH TO INCORPORATE

    E-Print Network [OSTI]

    Neil, Martin

    the traditional critical path method (CPM) to handle uncertainty and also provides explanatory analysis to elic scheduling; uncertainty; Bayesian networks; critical path method; CPM O1007 by the Prolett Management is to adapt one of the best-used scheduling techniques, critical path method (CPM) (Kelly, 1961

  13. Online Deadline Scheduling with Bounded Energy Efficiency

    E-Print Network [OSTI]

    Wong, Prudence W.H.

    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

  14. REGISTRATION HANDBOOK AND SCHEDULE OF COURSES

    E-Print Network [OSTI]

    Mojzsis, Stephen J.

    REGISTRATION HANDBOOK AND SCHEDULE OF COURSES FALL 1992 BODilSEROFFICE OF THE REGISTRAR PRICE: $ 1 Registration Handbook and Schedule ofCourses. This official publication ofthe registrar's office recently into this handbook. We are especially pleased to include the core curricu- lum listings for the College of

  15. IBM Watson, Nov. 2008 1 Parallel Scheduling

    E-Print Network [OSTI]

    Guestrin, Carlos

    IBM Watson, Nov. 2008 1 Parallel Scheduling Theory and Practice Guy Blelloch Carnegie Mellon University #12;IBM Watson, Nov. 2008 2 Parallel Languages User Scheduled MPI, Pthreads (typical usage) System. #12;IBM Watson, Nov. 2008 3 Example: Quicksort procedure QUICKSORT(S): if S contains at most one

  16. STEPS FOR ADDING/REMOVING AN INSTRUCTOR FROM A COURSE Path: Curriculum Management-> Schedule of Classes -> Maintain Schedule of Classes

    E-Print Network [OSTI]

    Qiu, Weigang

    Management-> Schedule of Classes -> Maintain Schedule of Classes 1.Curriculum Management 2. Curriculum Management 3.Maintain Schedule of Classes the (default) entries for "Load Factor" and "Work Load" #12; 14. Click "Save

  17. Parallel machine match-up scheduling with manufacturing cost considerations

    E-Print Network [OSTI]

    Aktrk, M. Selim; Atamtrk, Alper; Grel, Sinan

    2010-01-01

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

  18. Hopper scheduled maintenance tomorrow (Sept 19) and /project...

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

    scheduled maintenance tomorrow (Sept 19) and project outage Hopper scheduled maintenance tomorrow (Sept 19) and project outage September 18, 2012 by Helen He (0 Comments) There...

  19. Exhibit D: Mirant Potomac River Schedule of Unit Operations:...

    Office of Environmental Management (EM)

    Exhibit D: Mirant Potomac River Schedule of Unit Operations: Supplement 4, January - March 2006 Exhibit D: Mirant Potomac River Schedule of Unit Operations: Supplement 4, January -...

  20. Exhibit D: Mirant Potomac River Schedule of Unit Operations:...

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

    Operating Plan of Mirant Potomac River, LLC Exhibit D: Mirant Potomac River Schedule of Unit Operations More Documents & Publications Exhibit D: Mirant Potomac River Schedule of...

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

    Office of Environmental Management (EM)

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

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

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

    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 on Loan...

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

    Office of Environmental Management (EM)

    02 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...

  4. GS Equivalency Chart

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HABFESOpportunities Nuclear PhysicsGE Global

  5. Optimal Real-Time Pump and Irrigation Scheduling for Center-Pivot Sprinkler Systems.

    SciTech Connect (OSTI)

    Chou, Frederick N-F.

    1988-09-01

    Center-pivot farms located on major river systems generally pump water from the surface source and convey it through a pressurized pipe network to the pivots. Booster pump stations may be placed in the system to add necessary head for water delivery to the pivots. Attempts to improve pump and irrigation scheduling must make sure that soil moisture levels are maintained within desired limits for favorable crop growth. A soil water balance model and a branching pipe network hydraulics analysis model are therefore necessary for simulating system behavior and estimating pumping costs. The objective of this study is to develop a dynamic irrigation scheduling algorithm for achieving minimum pumping cost over a billing period, object to maintaining optimum crop production and adequate system delivery pressures. After investigation of several optimization methods, dynamic programming successive approximations (DPSA) is selected as the best approach to solving this problem. Feasibility in scheduling pivot operations and maintaining favorable soil water levels is always guaranteed during the DPSA analysis. Discrete dynamic programming is also applied for selecting pump combinations in each pump station with consideration of hydraulic interaction between stations to minimize pumping cost during each scheduling period for a specified irrigation strategy. A modified objective function is adopted for commensurating objectives of minimizing energy consumption and peak power demand. A comprehensive, generalized irrigation scheduling algorithm is developed to effectively integrate optimal irrigation decision with optimal pump selection. 116 refs.

  6. An Algorithm for Proportional-Fair Downlink Scheduling in the Presence of Energy Harvesting

    E-Print Network [OSTI]

    Uysal-Biyikoglu, Elif

    caused by CO2 emissions and the depletion of non-renewable energy sources, many researchers have focused, we focus on the case where energy interarrival times are equal. Not all generality is lost, becauseAn Algorithm for Proportional-Fair Downlink Scheduling in the Presence of Energy Harvesting Neyre

  7. Scheduling for Quality of Service based Service Di erentiation Saswati Sarkar 1 and Leandros Tassiulas 2

    E-Print Network [OSTI]

    Sarkar, Saswati

    function and the network allocates bandwidth so as to obtain a fair allocation of the utilities. We present for attaining the maxmin fair allocation of #12; utilities. We consider general utility functions and do a scheduling policy which attains a provably fair utility allocation. The policy uses a combination of di#11

  8. Optimal Power Allocation and Scheduling for Two-Cell Capacity Maximization

    E-Print Network [OSTI]

    ien, Geir E.

    Optimal Power Allocation and Scheduling for Two-Cell Capacity Maximization Anders Gjendemsj, David consider the problem of optimally allo- cating the base station transmit power in two neighboring cells sched- uler [1] is generalized to the two-cell case. Thus, both power allocation and multiuser diversity

  9. Negotiation-Based Task Scheduling to Minimize User's Electricity Bills under Dynamic Energy Prices

    E-Print Network [OSTI]

    Pedram, Massoud

    Negotiation-Based Task Scheduling to Minimize User's Electricity Bills under Dynamic Energy Prices}@usc.edu Abstract--Dynamic energy pricing is a promising technique in the Smart Grid that incentivizes energy to minimize the electricity bill. A general type of dynamic pricing scenario is assumed where the energy price

  10. Response Time versus Utilization in Scheduler Overhead Accounting

    E-Print Network [OSTI]

    Sokolova, Ana

    Response Time versus Utilization in Scheduler Overhead Accounting Silviu S. Craciunas Christoph M.lastname@cs.uni-salzburg.at Abstract--We propose two complementary methods to account for scheduler overhead in the schedulability CPU bandwidth to processes. Scheduler overhead in VBS may be accounted for either by decreasing pro

  11. COPS: A Framework for Consumer Oriented Proportional-share Scheduling

    E-Print Network [OSTI]

    Back, Godmar

    COPS: A Framework for Consumer Oriented Proportional-share Scheduling by Abhijit Deodhar Thesis Cameron Eli Tilevich May 14, 2007 Blacksburg, Virginia Keywords: Scheduling, proportional share, VTRR Proportional-share Scheduling Abhijit Deodhar Abstract Scheduling forms an important aspect of operating

  12. Project Schedule Optimization in a Telecommunications Environment

    E-Print Network [OSTI]

    Taliaferro, Chris

    2013-12-20

    Veritas Corporation is a thriving company in the fast-paced telecommunications industry. To keep up with the dynamic industry, a significant quantity of projects must be scheduled in a short time period without impacting each other. While Veritas...

  13. Thesis / Dissertation Defense Announcement and Scheduling Form

    E-Print Network [OSTI]

    Hutcheon, James M.

    Thesis / Dissertation Defense Announcement and Scheduling Form Completed form must be received of the following: Thesis Defense Dissertation Defense Public Seminar Only Thesis Associate Dean Only Thesis/Dissertation/Seminar location and time listed above is: Confirmed

  14. WEBVIEWER INSTRUCTION PACKET Facilities Planning and Scheduling

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    -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

  15. Fair Scheduling in Networks Through Packet Election

    E-Print Network [OSTI]

    Jagabathula, Srikanth

    We consider the problem of designing a fair scheduling algorithm for discrete-time constrained queuing networks. Each queue has dedicated exogenous packet arrivals. There are constraints on which queues can be served ...

  16. Production Scheduling with Energy Efficiency Constraints

    E-Print Network [OSTI]

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

    2007-01-01

    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...

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

    E-Print Network [OSTI]

    Cardoso, Goncalo

    2014-01-01

    to scheduling in microgrids, Energy, vol. 36, no. 7, pp.of Commercial-Building Microgrids, IEEE Transactions onfor LV unbalanced microgrids with plugged-in electric

  18. Advanced Reactors Transition Program Resource Loaded Schedule

    SciTech Connect (OSTI)

    GANTT, D.A.

    2000-01-12

    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 (FETF) 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 revision reflects the 19 Oct 1999 baseline.

  19. Real Options for Project Schedules (ROPS)

    E-Print Network [OSTI]

    Ingber, Lester

    2007-01-01

    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.

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

    E-Print Network [OSTI]

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

    2014-01-01

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

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

    E-Print Network [OSTI]

    Kai, Ma; Guoqiang, Hu; Spanos, Costas

    2013-01-01

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

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

    E-Print Network [OSTI]

    Kai, Ma; Guoqiang, Hu; Spanos, Costas

    2013-01-01

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

  3. Time Schedu.le Preliminary

    E-Print Network [OSTI]

    Doty, Sharon Lafferty

    instead of Hutchinson Hall, which has stairway access only. 1 #12;ZlFF-DAVIS SPECIAL MARKETS GROUP EditC)r-I~lef and .General Manager Jeffrey A. Stern Group Publisher William S. David DIRECTORY OF CLASSES President Andrew C The Pattls Group 4761 W. Toohy Avenue Uncolnwood, Illinois 60646 (312)679-1100 WEST COAST Bill Curtis W

  4. Fault-tolerant dynamic task graph scheduling

    SciTech Connect (OSTI)

    Kurt, Mehmet C.; Krishnamoorthy, Sriram; Agrawal, Kunal; Agrawal, Gagan

    2014-11-16

    In this paper, we present an approach to fault tolerant execution of dynamic task graphs scheduled using work stealing. In particular, we focus on selective and localized recovery of tasks in the presence of soft faults. We elicit from the user the basic task graph structure in terms of successor and predecessor relationships. The work stealing-based algorithm to schedule such a task graph is augmented to enable recovery when the data and meta-data associated with a task get corrupted. We use this redundancy, and the knowledge of the task graph structure, to selectively recover from faults with low space and time overheads. We show that the fault tolerant design retains the essential properties of the underlying work stealing-based task scheduling algorithm, and that the fault tolerant execution is asymptotically optimal when task re-execution is taken into account. Experimental evaluation demonstrates the low cost of recovery under various fault scenarios.

  5. 27-ID and 35-ID Construction Schedule | Advanced Photon Source

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

    week look-ahead schedule Impact: None to Small. The activities that may have a high vibration potential (e.g. demolition, the use of vibratory roller compactor) will be scheduled...

  6. Instruction scheduling optimizations for energy efficient VLIW processors

    E-Print Network [OSTI]

    Porpodas, Vasileios

    2013-11-28

    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. ...

  7. Absenteeism prediction and labor force optimization in rail dispatcher scheduling

    E-Print Network [OSTI]

    Jensen, Taylor (Taylor Moroni)

    2013-01-01

    Unplanned employee absences are estimated to account for a loss of 3% of scheduled labor hours. This can be costly in railroad dispatcher scheduling because every absence must be filled through overtime or a qualified extra ...

  8. Gain Scheduled Control Using the Dual Youla Parameterization

    E-Print Network [OSTI]

    Chang, Young Joon

    2011-08-08

    at fixed values of the scheduling variable. For Linear Parameter Varying (LPV) model representations, a controller interpolation method using Youla parameterization that guarantees stability despite fast transitions in scheduling variables is proposed...

  9. Emailed Comments of Elizabeth Chimento RE: Pepco Scheduled Line...

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

    Scheduled Line Repair Dec. 1-20, 2006 Docket No. EO-05-01. Regarding the planned line outage, scheduled for Feb. 20 through Mar. 6, I am requesting that the residents near the...

  10. Study of distributed Fair Scheduling in wireless local area networks

    E-Print Network [OSTI]

    Gupta, Seema

    2000-01-01

    A Fair Scheduling policy is required to support differentiated QoS requirements of contending flows in a wireless channel. This thesis presents a study of the Distributed Fair Scheduling (DFS) algorithm proposed for wireless Local Area Networks...

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

    E-Print Network [OSTI]

    Nagi, Rakesh

    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

  12. Supplemental Schedules For the Year Ended June 30, 2014

    E-Print Network [OSTI]

    Stuart, Steven J.

    Supplemental Schedules For the Year Ended June 30, 2014 Clemson, south Carolina A component unit & Learning Technologies, Clemson University. #12;~ 1 ~ Supplemental Schedules #12;~ 2 ~ #12;~ 3 ~ Detailed Supplemental Statements of Financial Activity Balance Sheet - Unrestricted Current Funds

  13. Supplemental Schedules For the Year Ended June 30, 2012

    E-Print Network [OSTI]

    Stuart, Steven J.

    Supplemental Schedules For the Year Ended June 30, 2012 Included in the Higher Education ~ Supplemental Schedules #12;~ 2 ~ #12;~ 3 ~ Detailed Supplemental Statements of Financial Activity ................................................................ 41 Supplemental Statements of Assets Investment in Plant

  14. Resource constrained scheduling problem at U.S. Naval Shipyards

    E-Print Network [OSTI]

    Nawara, Terrence M. (Terrence Michael)

    2013-01-01

    Submarine repair schedules are some of the most complex schedules seen in project management. Repairs of a nuclear U.S. submarine are resource constrained since resources are divided among approximately thirty shops (e.g. ...

  15. Maintenance scheduling for modular systems-models and algorithms

    E-Print Network [OSTI]

    Zarybnisky, Eric J. (Eric Jack), 1979-

    2011-01-01

    Maintenance scheduling is an integral part of many complex systems. For instance, without effective maintenance scheduling, the combined effects of preventative and corrective maintenance can have severe impacts on the ...

  16. Scope for industrial applications of production scheduling models and

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    ERP Level 4 MES / CPM Production & Control Level 3 Control systems/sensors (DCS, PLC, SCADA, BMS management, planning, scheduling, quality control, recipe management, setpoint definition, integrationScope for industrial applications of production scheduling models and solution methods Iiro

  17. Professional Skills and Technical Training Program Corporate Training Schedule

    Broader source: Energy.gov [DOE]

    The 2015 Professional Skills Program Training Schedule lists all courses that are offered to DOE program offices, field sites, and national laboratories. (Schedule is updated on a quarterly basis)

  18. Periodic Thermonuclear X-ray Bursts from GS 1826-24 and the Fuel Composition as a Function of Accretion Rate

    E-Print Network [OSTI]

    D. K. Galloway; A. Cumming; E. Kuulkers; L. Bildsten; D. Chakrabarty; R. E. Rothschild

    2003-10-02

    We analyze 24 type I X-ray bursts from GS 1826-24 observed by the Rossi X-ray Timing Explorer between 1997 November and 2002 July. The bursts observed between 1997-98 were consistent with a stable recurrence time of 5.74 +/- 0.13 hr. The persistent intensity of GS 1826-24 increased by 36% between 1997-2000, by which time the burst interval had decreased to 4.10 +/- 0.08 hr. In 2002 July the recurrence time was shorter again, at 3.56 +/- 0.03 hr. The bursts within each epoch had remarkably identical lightcurves over the full approx. 150 s burst duration; both the initial decay timescale from the peak, and the burst fluence, increased slightly with the rise in persistent flux. The decrease in the burst recurrence time was proportional to Mdot^(-1.05+/-0.02) (where Mdot is assumed to be linearly proportional to the X-ray flux), so that the ratio alpha between the integrated persistent and burst fluxes was inversely correlated with Mdot. The average value of alpha was 41.7 +/- 1.6. Both the alpha value, and the long burst durations indicate that the hydrogen is burning during the burst via the rapid-proton (rp) process. The variation in alpha with Mdot implies that hydrogen is burning stably between bursts, requiring solar metallicity (Z ~ 0.02) in the accreted layer. We show that solar metallicity ignition models naturally reproduce the observed burst energies, but do not match the observed variations in recurrence time and burst fluence. Low metallicity models (Z ~ 0.001) reproduce the observed trends in recurrence time and fluence, but are ruled out by the variation in alpha. We discuss possible explanations, including extra heating between bursts, or that the fraction of the neutron star covered by the accreted fuel increases with Mdot.

  19. Impact Schedule Building Interactive Digital Libraries

    E-Print Network [OSTI]

    New Ideas Impact Schedule Building Interactive Digital Libraries of Formal Algorithmic Knowledge Winter 2002 Elaborate conceptual basis for FDL Implement Prototype Formal Digital Library Add content in formal digital libraries The project is testing these mechanisms and tools in a prototype formal

  20. McMaster Grid Scheduling Testing Environment

    E-Print Network [OSTI]

    Down, Doug

    resources. One key aim of resource management (scheduling) schemes is to find mappings of incoming workload to machines within the grid to maximize the output. The first contribution of this thesis is the construction . . . . . . . . . . . . . . . . . . . . . . . . 9 2.2.1 History of Desktop Grids . . . . . . . . . . . . . . . . . . . . . 9 2.2.2 Examples

  1. Periodic Reward-Based Scheduling and Its

    E-Print Network [OSTI]

    Aydin, Hakan

    catastrophic. Examples of real-time systems can be found in control systems of nuclear power plants, air36 Periodic Reward-Based Scheduling and Its Application to Power-Aware Real-Time Systems Hakan ........................... 36-9 Modeling Real-Time Workload and Energy on a Variable Speed CPU Correlating Real-Time Power

  2. Scheduling information broadcast in asymmetric environment

    E-Print Network [OSTI]

    Hameed, Sohail

    1997-01-01

    that in such environments, the server should broadcast the information periodically. Many researchers have shown their interest in this area and their nature of work covers a broad horizon. The key to efficient broadcasting lies very much on the way the schedule...

  3. Transforming PV Installations Toward Dispatchable, Schedulable...

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

    B C N A B C N A B C N A B C N Ai n Bi n Ci n Aout Bout Cout A B C N A B C N Transforming PV insTallaTions Toward disPaTchable, schedulable energy soluTions MIChAEl MIllS-PrICE,...

  4. Constraint-Based Planning and Scheduling Models

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    and Logistics Laboratory Adaptive traffic signal control [Traffic21, Heinz] The Robotics Institute, CarnegieConstraint-Based Planning and Scheduling Models Stephen F. Smith The Robotics Institute Carnegie Multi-Robot Coordination for Aircraft Assembly [Boeing] - Distributed management of joint plans

  5. Journal of Scheduling ISSN 1094-6136

    E-Print Network [OSTI]

    Waldmann, Uwe

    by continuous casting in the multi- stage production process in steel manufacturing. The task is to find by a particular application in steel production, the continuous casting process. Scheduling this process can, a steel- making process consists of several production stages that la- dles of steel have to pass

  6. CE 4990 -Construction Scheduling Spring Fling

    E-Print Network [OSTI]

    contract award, you have submitted your master schedule which shows completion in 28 working days. At the time of Notice to Proceed, owner informs you that he has redesigned the Int. Parts. (Act 3), the Ext that the additional complexity will: Require 6 additional days of work on the Int. Parts., Require 9 additional

  7. Energy Conscious Scheduling Johnatan E. Pecero

    E-Print Network [OSTI]

    Lefvre, Laurent

    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

  8. Scheduling with Advanced Process Control Constraints

    E-Print Network [OSTI]

    Hasenbein, John

    companies have to pay great attention to lower their produc- tion costs and guarantee high quality scheduling and APC. A single-machine multiple- job-types makespan problem with APC constraints is proved, 78712, jhas@mail.utexas.edu The Mork Family Department of Chemical Engineering and Materials Science

  9. Wireless Sensor Networks: Scheduling for Measurement

    E-Print Network [OSTI]

    Robertazzi, Thomas G.

    Wireless Sensor Networks: Scheduling for Measurement and Data Reporting MEQUANINT MOGES, Member allocation approach is presented for measurement and data reporting in wireless sensor networks with a single involve each antenna scanning a different frequency and directional range. We emphasize here wireless

  10. Adaptive Battery Charge Scheduling with Bursty Workloads

    E-Print Network [OSTI]

    Wu, Jie

    1 Adaptive Battery Charge Scheduling with Bursty Workloads Dylan Lexie , Shan Lin, and Jie Wu.wu@temple.edu Abstract--Battery-powered wireless sensor devices need to be charged to provide the desired functionality after deployment. Task or even device failures can occur if the voltage of the battery is low

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

    SciTech Connect (OSTI)

    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

    2013-10-27

    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.

  12. Introduction Coordinated Aggregation Resource Scheduling Reserve Scheduling Coordinated Aggregation of Distributed

    E-Print Network [OSTI]

    Stoltz, Brian M.

    Reserve Scheduling Distributed Energy Resources Controllable loads Electric Vehicles HVAC Systems Thermostatically Controlled Loads [TCLs] Electricity storage Distributed renewable generation [rooftop solar of Distributed Resources Kameshwar Poolla UC Berkeley October 13, 2011 Kameshwar Poolla Caltech Workshop

  13. Global Optimization for Scheduling Refinery Crude Oil Operations Ramkumar Karuppiaha

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Global Optimization for Scheduling Refinery Crude Oil Operations Ramkumar Karuppiaha , Kevin C of a nonconvex Mixed Integer Nonlinear Programming (MINLP) model for the scheduling of crude oil movement of crude oil and products. Furthermore, detailed scheduling models often require a continuous time

  14. A Survey of Pipelined Workflow Scheduling: Models and Algorithms

    E-Print Network [OSTI]

    Benoit, Anne

    A Survey of Pipelined Workflow Scheduling: Models and Algorithms ANNE BENOIT Ecole Normale Sup task-, data-, pipelined-, and/or replicated-parallelism. The scheduling problem that encompasses all of these techniques is called pipelined workflow scheduling, and it has been widely studied in the last decade

  15. Leveraging Uncertainty in Design-to-Criteria Scheduling Thomas Wagner

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Leveraging Uncertainty in Design-to-Criteria Scheduling Thomas Wagner Computer Science Department Technical Report 1997-11 January 20, 1996 Abstract Design-to-Criteria scheduling is the process of custom to achieve tasks and sub- tasks. Formerly, Design-to-Criteria scheduling relied on simple expected value

  16. Leveraging Uncertainty in DesigntoCriteria Scheduling \\Lambda Thomas Wagner

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Leveraging Uncertainty in DesigntoCriteria Scheduling \\Lambda Thomas Wagner Computer Science Computer Science Technical Report 199711 January 20, 1996 Abstract DesigntoCriteria scheduling that describes alternate ways to achieve tasks and sub tasks. Formerly, DesigntoCriteria scheduling relied

  17. CriteriaDirected Task Scheduling \\Lambda y Thomas Wagner

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    to task scheduling called DesigntoCriteria that controls the combinatorics via a satisficing methodology and custom designs schedules to meet a particular client's goal criteria. In Designto Criteria, criteria the scheduling problem tractable. We describe the interesting facets of the DesigntoCriteria approach and give

  18. Utility Accrual Real-Time Scheduling for Multiprocessor Embedded Systems

    E-Print Network [OSTI]

    Ravindran, Binoy

    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

  19. Proportional Fair Scheduling: Analytical Insight under Rayleigh Fading Environment

    E-Print Network [OSTI]

    Leung, Kin K.

    Proportional Fair Scheduling: Analytical Insight under Rayleigh Fading Environment Erwu Liu and Kin to the constraint of proportional fairness amongst users. The proportional fair scheduling (PFS) algorithm, but also it applies to various kinds of network scenarios. Keywords-proportional fair scheduling, gaussian

  20. EPLA: Energy-balancing Packets Scheduling for Airborne Relaying Networks

    E-Print Network [OSTI]

    New South Wales, University of

    of unmanned aerial vehicles (UAVs). We propose an energy-efficient relaying scheme which is able to overcomeEPLA: Energy-balancing Packets Scheduling for Airborne Relaying Networks Kai Li1 Wei Ni2 Xin Wang3 then schedules UAVs' forwarding with guaranteed success rates and balanced energy consumption. Such scheduling

  1. 1256 IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 18, NO. 4, NOVEMBER 2003 Short-Term Hydrothermal Generation Scheduling

    E-Print Network [OSTI]

    Catholic University of Chile (Universidad Catlica de Chile)

    , and economic load dispatch. Considering a scheduling horizon period of a week, hourly generation schedules

  2. VII. Cost and Schedule The detailed cost and schedule for E889 is contained in a formal Conceptual Design Report

    E-Print Network [OSTI]

    McDonald, Kirk

    VII. Cost and Schedule The detailed cost and schedule for E889 is contained in a formal Conceptual is not available in FY96, then the schedule will slip by about 6 months. The cost estimate summarized here management and QA functions. Full documentation is available for all estimates in the CDR. The base cost

  3. An Exact Algorithm and a Local Search Heuristic for a Two Runway Scheduling Problem

    E-Print Network [OSTI]

    Ravidas, Amrish Deep

    2011-02-22

    heuristic for a 25 aircraft scheduling problem has iv an average quality of 8% with respect to the optimal solution found by the general- ized dynamic programming algorithm. The heuristic can be used for both real-time and fast-time simulations of airport... and Brentnall?s Dynamic programming algorithm : : : : : : : : : : : : : : : : : : : : : : : : : 18 3 Average running time of GDP algorithm and Brentnall?s Dynamic programming algorithm for aircraft grouped to batches based on type 18 4 Average solution quality...

  4. Lucas, S.G., Morgan, G.S. and Zeigler, K.E., eds., 2005, New Mexico's Ice Ages, New Mexico Museum of Natural History and Science Bulletin No. 28. INTRODUCTION

    E-Print Network [OSTI]

    Allen, Bruce D.

    Bureau of Geology and Mineral Resources, New Mexico Tech, Socorro, New Mexico 87801 Abstract107 Lucas, S.G., Morgan, G.S. and Zeigler, K.E., eds., 2005, New Mexico's Ice Ages, New Mexico of the large, topographically closed basins in New Mexico during the last ice age (Fig. 1). Compli- mentary

  5. Negotiation-Based Task Scheduling and Storage Control Algorithm to Minimize User's Electric Bills under Dynamic Prices

    E-Print Network [OSTI]

    Pedram, Massoud

    , snazaria, pedram}@usc.edu Abstract--Dynamic energy pricing is a promising technique in the Smart Grid the electricity bill. A general type of dynamic pricing scenario is assumed where the energy price is both time-based iterative approach has been proposed for joint residential task scheduling and energy storage control

  6. The Dynamical Kernel Scheduler - Part 1

    E-Print Network [OSTI]

    Adelmann, Andreas; Suter, Andreas

    2015-01-01

    Emerging processor architectures such as GPUs and Intel MICs provide a huge performance potential for high performance computing. However developing software using these hardware accelerators introduces additional challenges for the developer such as exposing additional parallelism, dealing with different hardware designs and using multiple development frameworks in order to use devices from different vendors. The Dynamic Kernel Scheduler (DKS) is being developed in order to provide a software layer between host application and different hardware accelerators. DKS handles the communication between the host and device, schedules task execution, and provides a library of built-in algorithms. Algorithms available in the DKS library will be written in CUDA, OpenCL and OpenMP. Depending on the available hardware, the DKS can select the appropriate implementation of the algorithm. The first DKS version was created using CUDA for the Nvidia GPUs and OpenMP for Intel MIC. DKS was further integrated in OPAL (Object-or...

  7. Wholesale Power Rate Schedules | 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: Alternative FuelsofProgram: Report1538-1950DepartmentWave EnergyElectricityRate Schedules »

  8. The impact of master scheduling models on student performance as identified by the Academic Excellence Indicator System (AEIS) database in the high schools of the San Antonio Independent School District, San Antonio, Texas

    E-Print Network [OSTI]

    Morgan, Scott Edwin

    2005-11-01

    This study determined the impact of master scheduling models on student performance as reported by the AEIS database in the high schools of the SAISD. General student performance and the Texas Assessment of Knowledge and Skills were the primary...

  9. Using the local gyrokinetic code, GS2, to investigate global ITG modes in tokamaks. (I) s-${\\alpha}$ model with profile and flow shear effects

    E-Print Network [OSTI]

    Abdoul, P A; Roach, C M; Wilson, H R

    2014-01-01

    This paper combines results from a local gyrokinetic code with analytical theory to reconstruct the global eigenmode structure of the linearly unstable ion-temperature-gradient (ITG) mode with adiabatic electrons. The simulations presented here employ the s-${\\alpha}$ tokamak equilibrium model. Local gyrokinetic calculations, using GS2 have been performed over a range of radial surfaces, x, and for ballooning phase angle, p, in the range -${\\pi} {\\leq} p {\\leq\\pi}$, to map out the complex local mode frequency, ${\\Omega_0(x, p) = \\omega_0(x, p) + i\\gamma_0(x, p)}$. Assuming a quadratic radial profile for the drive, namely ${\\eta_i = L_n/L_T}$, (holding constant all other equilibrium profiles such as safety factor, magnetic shear etc.), ${\\Omega_0(x, p)}$ has a stationary point. The reconstructed global mode then sits on the outboard mid plane of the tokamak plasma, and is known as a conventional or isolated mode, with global growth rate, ${\\gamma}$ ~ Max[${\\gamma_0(x, p)}$], where ${\\gamma_0(x, p)}$ is the loc...

  10. General Engineer

    Broader source: Energy.gov [DOE]

    This position may be located in either the Office of Energy Statistics or the Office of Energy Analysis of EIA. This position is established to provide a professional general engineer to perform...

  11. Design of a Deep Space Network Scheduling Application Bradley J. Clement and Mark D. Johnston

    E-Print Network [OSTI]

    Schaffer, Steven

    for generating schedules are currently only specified in hours/week per antenna. DSN schedulers need more manual and collaborative effort to generate schedules and resolve conflicts has spurred an effort-month schedule. Schedules are currently manually generated a year into the future with allocations

  12. ISIS 9.0 | Student Center|Schedule Planner Created: 03.30.15

    E-Print Network [OSTI]

    Capogna, Luca

    1 ISIS 9.0 | Student Center|Schedule Planner Created: 03.30.15 Student Center - Schedule Planner ISIS 9.0 Schedule Planner 1. Access Schedule Planner 1.1 Log on to your Student Center. 1.2 Click in the upper right corner of the page. #12;2 ISIS 9.0 | Student Center|Schedule Planner Created: 03

  13. General 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (Journal Article)ForthcomingGENERALProblemsGeneral Information General

  14. Reminder Reserving and Scheduling Transmission over the Time...

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

    of Conduct Tariff TF Web Based Training Notice: Reminder - Reserving & Scheduling Transmission over the Time Change Posted Date: 342015 Effective March 8, 2015 at 0200 Pacific...

  15. Reserving and Scheduling Transmission over the Time Change -...

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

    Standards of Conduct Tariff TF Web Based Training Notice: Reserving & Scheduling Transmission over the Time Change Posted Date: 2232015 Effective March 8, 2015 at 0200 Pacific...

  16. Reserving and Scheduling Transmission over the Time Change -...

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

    Standards of Conduct Tariff TF Web Based Training Notice: Reserving & Scheduling Transmission over the Time Change Posted Date: 10172014 Effective November 2, 2014 at 0200...

  17. Reminder Reserving and Scheduling Transmission over the Time...

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

    of Conduct Tariff TF Web Based Training Notice: Reminder - Reserving & Scheduling Transmission over the Time Change Posted Date: 10292014 Effective November 2, 2014 at 0200...

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

    E-Print Network [OSTI]

    Alireza Soroudi

    2015-01-03

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

  19. To: Mansueti, Lawrence Subject: RE: Pepco Scheduled Line Repair...

    Office of Environmental Management (EM)

    my concern that the above scheduled line outage was likely to cause Mirant plant emission exceedances, putting at risk the health of over 4000 Alexandrians residing near the...

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

    Energy Savers [EERE]

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

  1. Maximizing productivity & profitability through best cost shift schedules

    SciTech Connect (OSTI)

    Coleman, R.

    1996-12-31

    If you have the right equipment and employees at the right place, the fight time, and the right cost, you have the perfect business schedule. But, if you`re like most mines, you can probably improve your schedule, improvements that will reach all the way to the bottom line. And unlike adding employees, materials, or capital equipment, better scheduling is a cost-free way improve profitability. A good schedule can save millions. A bad schedule will cost money every year. A shift schedule is not a day off pattern or shift length. A shift schedule is a complete system deploying personnel and capital equipment. Most mining schedules are either copied from another operation, based on tradition or the result of a contract negotiation made far from the mine site. Unfortunately, most mine managers don`t give much thought to schedules until a crisis develops; at which point the tendency is to implement the first solution that comes along as quickly as possible. Costly mistakes are made.

  2. Appliance Standards Program Schedule - CCE Overview and Update...

    Energy Savers [EERE]

    October 26, 2011 This document is Appliance Standards Program Schedule & CCE Overview and Update presentation, dated 10262011, presented to Energy-Efficiency Advocacy Groups...

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

    Office of Environmental Management (EM)

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

  4. Tool for Generating Realistic Residential Hot Water Event Schedules...

    Energy Savers [EERE]

    Paper NRELCP-550-47685 August 2010 Tool for Generating Realistic Residential Hot Water Event Schedules Preprint Bob Hendron and Jay Burch National Renewable Energy...

  5. Joint Adaptive Rate and Scheduling in Cellular Wireless Networks

    E-Print Network [OSTI]

    Chang, Hung-Bin

    2015-01-01

    Aided Failover for Multicast Scheduling in Wireless CellularVideo Multicast for Multi-cell Cellular Wireless Net-and Uplink Fractional Frequency Reuse in Cellular Wireless

  6. 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...

  7. Sequencing and Scheduling in Coil Coating with Shuttles

    E-Print Network [OSTI]

    Mar 18, 2010 ... Sequencing and Scheduling in Coil Coating with Shuttles. Wiebke Hhn(hoehn * **at*** math.tu-berlin.de) Felix G. Knig(fkoenig ***at***...

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

    National Nuclear Security Administration (NNSA)

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

  9. COST AND SCHEDULE FOR DRILLING AND MINING UNDERGROUND TEST FACILITIES

    E-Print Network [OSTI]

    Lamb, D.W.

    2013-01-01

    3.2 - Surface Drilling ------------------------------ COSTLBL-11490 COST AND SCHEDULE FOR DRILLING AND MININGDevelopment In-Mine Drilling The cost and time required for

  10. 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...

  11. Descriptions of ESPC Task Order Schedules and Placement of Pricing...

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

    Document provides task order schedule descriptions and information on the placement of pricing for energy savings performance contracts (ESPCs). 54descriptionoftoschedulesj5....

  12. Dawn Usage, Scheduling, and Governance Model

    SciTech Connect (OSTI)

    Louis, S

    2009-11-02

    This document describes Dawn use, scheduling, and governance concerns. Users started running full-machine science runs in early April 2009 during the initial open shakedown period. Scheduling Dawn while in the Open Computing Facility (OCF) was controlled and coordinated via phone calls, emails, and a small number of controlled banks. With Dawn moving to the Secure Computing Facility (SCF) in fall of 2009, a more detailed scheduling and governance model is required. The three major objectives are: (1) Ensure Dawn resources are allocated on a program priority-driven basis; (2) Utilize Dawn resources on the job mixes for which they were intended; and (3) Minimize idle cycles through use of partitions, banks and proper job mix. The SCF workload for Dawn will be inherently different than Purple or BG/L, and therefore needs a different approach. Dawn's primary function is to permit adequate access for tri-lab code development in preparation for Sequoia, and in particular for weapons multi-physics codes in support of UQ. A second purpose is to provide time allocations for large-scale science runs and for UQ suite calculations to advance SSP program priorities. This proposed governance model will be the basis for initial time allocation of Dawn computing resources for the science and UQ workloads that merit priority on this class of resource, either because they cannot be reasonably attempted on any other resources due to size of problem, or because of the unavailability of sizable allocations on other ASC capability or capacity platforms. This proposed model intends to make the most effective use of Dawn as possible, but without being overly constrained by more formal proposal processes such as those now used for Purple CCCs.

  13. Renewable Fuel Standard Schedule | Open Energy Information

    Open Energy Info (EERE)

    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 QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EIS Report UrlNM-bRenewable Energy RFPsLtd RES GroupStandard Schedule

  14. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation CurrentHenry Bellamy, Ph.D. Title: Professor -| ArgonneSchedule January 23,

  15. Middle 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework uses concrete7 Assessment ofLana7, at 3:00TheoryofSchedule Saturday,

  16. Schedulability and Energy Efficiency for Multi-core Hierarchical Scheduling Systems

    E-Print Network [OSTI]

    David, Alexandre

    on a multi- core platform. The framework is realized using Parameterized Stopwatch Automata describing knowledge, our paper is the first one considering hierarchical scheduling, multi-core platforms and energy-time systems. Within the industrial domains of avionics and automotive, the safe composition of several

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

    E-Print Network [OSTI]

    Brewer, Adam Thornton

    2012-08-31

    pausing at rich-lean transitions is that the reinforcers are delivered according to FR schedules (rats: Galuska & Yadon, 2011; Wade-Galuska, Perone, & Wirth, 2005; pigeons: Perone, 2003; Perone & Courtney, 1992; monkeys: Galuska, Wade-Galuska, Woods...-lean transitions with FR schedules (e.g., mult FR 80, 7 pellets; mult FR 80, 1 pellet) could be reduced with VR schedules (e.g., mult VR 80, 7 pellets; mult VR 80, 1 pellet). In addition, the effects of two different VR schedule configurations on pausing at rich...

  18. General Relativity

    E-Print Network [OSTI]

    Canuto, V

    2015-01-01

    This is an English translation of the Italian version of an encyclopedia chapter that appeared in the Italian Encyclopedia of the Physical Sciences, edited by Bruno Bertotti (1994). Following requests from colleagues we have decided to make it available to a more general readership. We present the motivation for constructing General Relativity, provide a short discussion of tensor algebra, and follow the set up of Einstein equations. We discuss briefly the initial value problem, the linear approximation and how should non gravitational physics be described in curved spacetime.

  19. General Tables

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HABFESOpportunities NuclearlongGeneral Tables The General Tables for

  20. UNIVERSITY OF NORTH CAROLINA General Records Retention and

    E-Print Network [OSTI]

    Olszewski Jr., Edward A.

    #12;UNIVERSITY OF NORTH CAROLINA General Records Retention and Disposition Schedule April 2007 #12;MANAGING PUBLIC RECORDS IN THE STATE-SUPPORTED UNIVERSITIES OF NORTH CAROLINA Introduction in the University of North Carolina System (UNC) to use when managing the records in their offices. It lists records

  1. Throughput Performance of Quantized Proportional Fair Scheduling with Adaptive Modulation and

    E-Print Network [OSTI]

    Ishizaki, Fumio

    Throughput Performance of Quantized Proportional Fair Scheduling with Adaptive Modulation where QPF (Quantized Proportional Fair) scheduling and AMC (adaptive modulation and coding) scheme condition [11]. To solve this unfair problem, the proportional fair (PF) scheduling was proposed where

  2. Energy-Aware Duplication Strategies for Scheduling Precedence-Constrained Parallel Tasks on Clusters

    E-Print Network [OSTI]

    Qin, Xiao

    Energy-Aware Duplication Strategies for Scheduling Precedence- Constrained Parallel Tasks Optimizing energy consumption has become a major concern in designing economical clusters. Scheduling consider schedule lengths, completely ignoring energy consumption of clusters. In this regard, we propose

  3. Display Requirements for an Interactive Rail Scheduling Display

    E-Print Network [OSTI]

    Cummings, Mary "Missy"

    the development of an interactive in-cab scheduling interface. Information about current high speed railDisplay Requirements for an Interactive Rail Scheduling Display Jacqueline M. Tappan1 , David J, paper speed charts, and rote memorization to meet the many demands of train operation. The separation

  4. Competitive Video on Demand Schedulers for Popular Movies y

    E-Print Network [OSTI]

    Competitive Video on Demand Schedulers for Popular Movies y Christos Bouras Vaggelis Kapoulas the online video on demand problem, namely having to accept or reject a request for a movie without knowing on demand, online scheduling algorithm, competitive ratio, probability distribution. A previous version

  5. Solving the University Class Scheduling Problem Using Advanced ILP Techniques

    E-Print Network [OSTI]

    Aloul, Fadi

    Solving the University Class Scheduling Problem Using Advanced ILP Techniques Ahmed Wasfy and Fadi and algorithms have been proposed to solve scheduling problems, most of which are based on local search the problem. The ILP model of interest is developed and solved using the three advanced ILP solvers based

  6. Optimal Scheduling of Continuous Plants with Energy Constraints

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    multiproduct plants with parallel units and shared storage tanks. Processing tasks are energy intensive and we. Scheduling has been receiving considerable attention by the Process Systems Engineering (PSE) community1 Optimal Scheduling of Continuous Plants with Energy Constraints Pedro M. Castro,*,, , Iiro

  7. Three NASA Application Domains for Integrated Planning, Scheduling and Execution

    E-Print Network [OSTI]

    Kortenkamp, David

    Three NASA Application Domains for Integrated Planning, Scheduling and Execution David Kortenkamp. NASA Johnson Space Center { ER2 Houston, TX 77058 kortenkamp@jsc.nasa.gov Abstract This paper describes three application domains for in- tegrating planning, scheduling and execution at NASA Johnson Space

  8. Software Pipelining: An Effective Scheduling Technique for VLIW Machines

    E-Print Network [OSTI]

    Lam, Monica

    Software Pipelining: An Effective Scheduling Technique for VLIW Machines Monica Lam Department that software pipelining is an effective and viable scheduling technique for VLIW processors. In software pipelining, iterations of a loop in the sourceprogram are continuously initiated at constant intervals

  9. TOWARDS REAL-TIME GENERATION SCHEDULING IN MICROGRIDS WITH

    E-Print Network [OSTI]

    Zhang, Junshan

    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

  10. Short-Term Operation Scheduling in Renewable-Powered Microgrids

    E-Print Network [OSTI]

    Bornemann, Jens

    Short-Term Operation Scheduling in Renewable-Powered Microgrids: A Duality-Based Approach Binyan scheduling prob- lem in renewable-powered microgrids, which is used to determine the least-cost unit- ments. The intermittency nature of the renewable energy sources, as well as microgrid's capacity

  11. The Charging-Scheduling Problem for Electric Vehicle Networks

    E-Print Network [OSTI]

    method to reduce the total charging time for EVs. We study the Electric Vehicle Charging-Scheduling (EVCS the classic greedy nearest scheduling algorithm: assign each EV to its nearest charging station, then choose]. The capacity of EV battery is limited, which requires frequent charging. EV battery swapping is well known

  12. Integrating Planning and Scheduling A. Garrido, F. Barber

    E-Print Network [OSTI]

    Barber, Federico

    Integrating Planning and Scheduling A. Garrido, F. Barber {agarridot, fbarber}@dsic.upv.es Dpto (Spain) Abbreviated title: Integrating Planning and Scheduling January 10, 2001 Abstract Planning advances in planning systems, they have not seen the same advances in the methods of solving planning

  13. Mechanism design for fractional scheduling on unrelated George Christodoulou

    E-Print Network [OSTI]

    Koutsoupias, Elias

    Mechanism design for fractional scheduling on unrelated machines George Christodoulou Elias and randomized approximation algorithms. The mechanism design version of the scheduling problem was introduced by Nisan and Ronen [23]. In this paper1 , we consider the mechanism design version of the fractional

  14. Note: Instructions for Completing in [Italics] SCHEDULE OF PROJECT DETAILS

    E-Print Network [OSTI]

    Kamat, Vineet R.

    ] ___________________________________________________________________________________ Design Professional - Schedule of Project Details Page 1 of 6 Form Date: CM January 2015 #12;The Basic-consultants that are included in the Basic Services are as follows: Firm Name Type of Architect/Engineer 5. ReimbursableNote: Instructions for Completing in [Italics] SCHEDULE OF PROJECT DETAILS for the Agreement

  15. Throughput of proportional fair scheduling over Rayleigh fading channels

    E-Print Network [OSTI]

    Leung, Kin K.

    Throughput of proportional fair scheduling over Rayleigh fading channels E. Liu and K.K. Leung The proportional fair scheduling (PFS) algorithm is implemented in current 3G wireless networks for high data rate of proportional fairness is NP-hard. An analytical expression is obtained to approximate the throughput of PFS

  16. Downlink Traffic Scheduling in Green Vehicular Roadside Infrastructure

    E-Print Network [OSTI]

    Karakostas, George

    of scheduling for energy efficient road-side infrastructure. In certain scenarios, vehicle locations can be predicted with a high degree of accuracy, and this information can be used to reduce downlink infrastructure-to-vehicle energy communication costs. The paper first presents off-line scheduling results which provide lower

  17. Efficient Scheduling of Task Graph Collections on Heterogeneous Resources

    E-Print Network [OSTI]

    Vivien, Frdric

    laboratory, UMR 5668, ENS Lyon CNRS INRIA UCBL, Lyon, France {matthieu of a classical scheduling policy in Grids, HEFT. The results show that some of our static-scheduling policies of resources. These applications come from domains such as high-energy physics [8], bioinformat- ics [21

  18. Competitive Non-migratory Scheduling for Flow Time and Energy

    E-Print Network [OSTI]

    Wong, Prudence W.H.

    @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

  19. PROCESS SPECIFICATION LANGUAGE FOR PROJECT SCHEDULING INFORMATION EXCHANGE

    E-Print Network [OSTI]

    Stanford University

    of Standards and Technology (NIST) and is emerging as a standard exchange language for process information in the manufacturing industry. This paper explores how PSL can be used for exchanging project scheduling informationPROCESS SPECIFICATION LANGUAGE FOR PROJECT SCHEDULING INFORMATION EXCHANGE Jinxing Cheng1 , Michael

  20. Availability Bars for Calendar Scheduling AbstractAndrew Faulring

    E-Print Network [OSTI]

    Myers, Brad A.

    Availability Bars for Calendar Scheduling AbstractAndrew Faulring Carnegie Mellon University 5000 meeting or to what extent an existing meeting can be rescheduled. This paper introduces the "availability. Availability bars, embedded in calendar applications, can help users who manually schedule meetings

  1. Optimal Maintenance Scheduling of a Gas Engine Power Plant

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    premature aging and failure of generators leading to unplanned and costly power outages, it is important separately to reduce the manpower requirement. The maintenance scheduling of generators in power systems of these function adversely20 . In traditional power systems, the maintenance scheduling of generator units

  2. Renewable Energy Scheduling for Fading Channels with Maximum Power Constraint

    E-Print Network [OSTI]

    Greenberg, Albert

    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

  3. Balancing Authority Cooperation Concepts - Intra-Hour Scheduling

    SciTech Connect (OSTI)

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

    2013-03-29

    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.

  4. EVMS Training Snippet: 5.3 PARSII Analysis: Schedule Health Assessment...

    Energy Savers [EERE]

    5.3 PARSII Analysis: Schedule Health Assessment EVMS Training Snippet: 5.3 PARSII Analysis: Schedule Health Assessment This EVMS Training Snippet, sponsored by the Office of...

  5. Features & Benefits 10 GS/s (20 GS/s) and 5 GS/s

    E-Print Network [OSTI]

    Anlage, Steven

    and Provides a Built- in DVD, Removable Hard Drive, LAN and USB Ports Applications Disk Drive (Magnetic Communications: Up to 5 GHz (4-waveform points/cycle) Arbitrary RF/IF and Wide-bandwidth Modulation I and Q output channels, the toughest meas- urement challenges in the disk drive, communications, digital

  6. General Publications

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HABFESOpportunities Nuclearlong version)shortGateGeneralMotors

  7. General Recommendations

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HABFESOpportunities Nuclearlong version)shortGateGeneralMotors»

  8. GENERAL ASSIGNMENT

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (Journal Article)ForthcomingGENERAL ASSIGNMENT KNOW ALL MEN BY THESE

  9. CP Based Tool for Tightening the MILP Relaxation of a Crude-Oil Operations Scheduling MINLP

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    CP Based Tool for Tightening the MILP Relaxation of a Crude-Oil Operations Scheduling MINLP Sylvain;Introduction Goals Optimize the schedule of operations for the crude-oil unloading and blending problem using the MILP relaxation of the MINLP 1 / 14 #12;Crude-oil operations scheduling problem Scheduling horizon [0

  10. A Symmetry-Breaking Tool for the Optimization of Crude-Oil Operations Scheduling

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    A Symmetry-Breaking Tool for the Optimization of Crude-Oil Operations Scheduling Sylvain Mouret the schedule of operations for the crude-oil unloading and blending problem using a continuous and Mann (2003) #12;Crude-oil operations scheduling problem Scheduling horizon [0, H] 4 types of resources

  11. Predictive Scheduling for Spatial-dependent Tasks in Wireless Sensor Networks

    E-Print Network [OSTI]

    Wu, Jie

    --Vehicle scheduling, spatial dependency, wireless charging I. INTRODUCTION Sensor networks are deployed for various

  12. Scheduling Space-Sharing for Internet Advertising Micah Adler Phillip B. Gibbonsy Yossi Matiasz

    E-Print Network [OSTI]

    Matias, Yossi

    Scheduling Space-Sharing for Internet Advertising Micah Adler Phillip B. Gibbonsy Yossi Matiasz in the scheduling of space-sharing for Internet advertising. We consider the scheduling problem where each advertisement is speci ed by a geometry and a display frequency. Given a set of ads, a schedule of the ads speci

  13. Libra: An Economy-Driven Job Scheduling System for Jahanzeb Sherwani, Nosheen Ali,

    E-Print Network [OSTI]

    Buyya, Rajkumar

    Libra: An Economy-Driven Job Scheduling System for Clusters Jahanzeb Sherwani, Nosheen Ali computational economy driven scheduling system called Libra, which has been designed to support allocation scheduler to the PBS (Portable Batch System) system. The scheduler offers market-based economy driven

  14. Fair Round Robin: A Low Complexity Packet Scheduler with Proportional and Worst-Case Fairness

    E-Print Network [OSTI]

    Yuan, Xin

    Fair Round Robin: A Low Complexity Packet Scheduler with Proportional and Worst-Case Fairness Xin, proportional fairness, worst-case fairness, round robin scheduler 1 Introduction An ideal packet scheduler to evaluate packet schedulers, the proportional fairness that was defined by Golestani in [6] and the worst

  15. Taxiway Aircraft Traffic Scheduling: A Model and Solution Algorithms

    E-Print Network [OSTI]

    Tian, Chunyu

    2012-10-19

    With the drastic increase in the demand for air travel, taxiway aircraft traffic scheduling is becoming increasingly important in managing air traffic. In order to reduce traffic congestion on taxiways, this thesis proposes ...

  16. Dynamic scheduling of manufacturing systems with setups and random disruptions

    E-Print Network [OSTI]

    Tubilla Kuri, Fernando

    2011-01-01

    Manufacturing systems are often composed of machines that can produce a variety of items but that most undergo time-consuming (and possibly costly) setups when switching between product types. Scheduling these setups ...

  17. BE511 Class Syllabus and Schedule -Spring, 2015 Biomedical Instrumentation

    E-Print Network [OSTI]

    Vajda, Sandor

    BE511 Class Syllabus and Schedule - Spring, 2015 Biomedical Instrumentation Instructor: Prof and pdf's posted throughout the semester References: 1. Medical Instrumentation: Application and Design Engineering) Course Description: This course is an introduction to biomedical instrument design. We

  18. Optimal Design and Scheduling of Unsteady State Material Recovery Networks

    E-Print Network [OSTI]

    Rabie, Arwa H.

    2010-01-14

    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...

  19. Planning and scheduling proximity operations for autonomous orbital rendezvous

    E-Print Network [OSTI]

    Guerra, Christopher J., 1978-

    2003-01-01

    This thesis develops a mixed integer programming formulation to solve the proximity operations scheduling problem for autonomous orbital rendezvous. The algorithm of this thesis allows the operator to specify planned modes, ...

  20. Drugs CSA Schedules Medical Uses Physical Usual Method Possible Effects

    E-Print Network [OSTI]

    Subramanian, Venkat

    Drugs CSA Schedules Medical Uses Physical Psycho- logical Toleranc e Duration (Hours) Usual Method Hashish and Hashish Oil Substance I Hash, Hash oil None Unknown Moderate Yes 2-4 Smoked, oral Anabolic

  1. L-?Functions and Trace Formula Workshop Schedule

    E-Print Network [OSTI]

    2015-05-11

    L-?Functions and Trace Formula Workshop Schedule. May 11 May 13, 2015 at Purdue University. Monday, May 11. 9:15 am 9:30 am: Casselman/Shahidi:.

  2. Priority and fair scheduling in wireless local area networks

    E-Print Network [OSTI]

    Dugar, Anurag

    2001-01-01

    In recent years, fair scheduling and quality of service (QoS) in Wireless Local Area Networks have received significant attention from the networking research community. This thesis presents a distributed Medium Access Control (MAC) protocol...

  3. Trident schedule FY16 -- rev 11-10-15.xlsx

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

    Schedule FY 2015-16 11102015 28-Sep Material dynamics (gas gun) Loomis na 4 5-Oct 4 12-Oct 3 19-Oct maintenance 4 26-Oct AWE -- DTRA Davis - Sibley South ns 4 2-Nov...

  4. Exhibit D: Mirant Potomac River Schedule of Unit Operations:...

    Office of Environmental Management (EM)

    Supplement 3, January and February 2006 Exhibit D: Mirant Potomac River Schedule of Unit Operations: Supplement 3, January and February 2006 Docket No. EO-05-01: Exhibit D: Mirant...

  5. A computer algorithm to optimize the scheduling of strategic sealift

    E-Print Network [OSTI]

    Lambert, Garrett Randall

    1995-01-01

    The problem of scheduling strategic sealift assets for a U.S. Army deployment in response to a major regional contingency is considered in this paper. The complexity of this problem depends upon the different types of ship ...

  6. UNIVERSITY OF Department of Chemical Engineering Seminar Schedule: Fall 2013

    E-Print Network [OSTI]

    Zapletal, Jindrich

    UNIVERSITY OF FLORIDA Department of Chemical Engineering Seminar Schedule: Fall 2013 26 August Mr (Host: ) Dept. of Chemical Engineering, University of Florida "Spatial-Temporal Instability (Host: Butler) Dept. Chemical & Biomolecular Engineering, University of Illinois "New Frontiers

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

    E-Print Network [OSTI]

    Nagi, Rakesh

    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

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

    E-Print Network [OSTI]

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

    2013-01-01

    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 ...

  9. 21th International Conference on Automated Planning and Scheduling

    E-Print Network [OSTI]

    Kambhampati, Subbarao

    for Human & Machine Cognition (IHMC) IBM Research Institute for Computational Sustainability (ICS) National The "DUKC Optimiser" Ship Scheduling System / 42 Elena Kelareva WindMT: An integrated system for failure

  10. On attractant scheduling in networks based on bacterial communication

    E-Print Network [OSTI]

    Sivakumar, Raghupathy

    On attractant scheduling in networks based on bacterial communication Yunlong Gao Shanghai Jiaotong on bacterial communication. Bacterial communication is a communication paradigm between biological cells which using chemical attractants. Although bacterial communication occurs in nature, engineering

  11. Comparison of Scheduling Policies by Simulation Omar Gzouli

    E-Print Network [OSTI]

    Gershwin, Stanley B.

    by . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Cynthia Barnhart Co-Director, Operations Research Center #12; Comparison of Scheduling Policies friends: Fernand for the many tennis matches that we played, and that helped me stay #12;t through

  12. Lab Ahead of Schedule Processing Waste in Large Boxes

    Broader source: Energy.gov [DOE]

    LOS ALAMOS, N.M. The TRU Waste Program at Los Alamos National Laboratory is currently two months ahead of schedule processing and repackaging waste stored in large fiberglass-reinforced boxes (FRPs).

  13. Simultaneous Batching and Scheduling Using Dynamic Decomposition on a Grid

    E-Print Network [OSTI]

    Mangasarian, Olvi L.

    , in the petroleum sector, scheduling problems arise in the transportation and unloading of crude oil from pipelines, the transfer to storage tanks and the charge for each crude oil distillation unit. In basic chemical

  14. Scheduling and 2D placement heuristics for partially reconfigurable systems

    E-Print Network [OSTI]

    Santambrogio, Marco Domenico

    This paper proposes new scheduling and 2D placement heuristics for partially dynamically reconfigurable systems. One specific focus of this work is to deal with applications containing hundreds of tasks grouped in a few ...

  15. Proportional Differentiated Services: Delay Differentiation and Packet Scheduling

    E-Print Network [OSTI]

    Dovrolis, Constantinos

    Proportional Differentiated Services: Delay Differentiation and Packet Scheduling Constantinos propose the proportional differ­ entiation model as a way to refine and quantify this basic premise of relative differentiated services. The proportional differentiation model aims to provide the network

  16. BE511 Class Syllabus and Schedule -Spring, 2013 Biomedical Instrumentation

    E-Print Network [OSTI]

    Vajda, Sandor

    signals, biomedical sensors, analog signal amplification and filters, digital acquisition, digital, digital signal processing, #12;and instrument programming. Students will design, build, and characterizeBE511 Class Syllabus and Schedule - Spring, 2013 Biomedical Instrumentation Instructor: Prof

  17. Flow Shop Scheduling with Peak Power Consumption Constraints

    E-Print Network [OSTI]

    2012-09-23

    voltages to produce a preemptive task schedule that minimizes total energy ... since it affects the power supply and cooling technologies in the design of ...... The primary role of the two heuristic algorithms described above in our study is to

  18. MA 224 FINAL EXAM INFORMATION The final exam is scheduled ...

    E-Print Network [OSTI]

    Devilyna L Nichols

    2007-11-14

    The final exam is scheduled for Monday, December 10, at 8:00 a.m. in Lambert. Fieldhouse. Seats are assigned and you should receive your assigned seat from

  19. Scheduling screening inspections for replaceable and non-replaceable systems

    E-Print Network [OSTI]

    Aral, Bahadir

    2009-05-15

    This dissertation focuses on developing inspection schedules to detect non-self- announcing events which can only detected by inspections. Failures of protective sys- tems ,such as electronic equipments, alarms and stand-by systems, incipient...

  20. Towards Energy Aware Scheduling for Precedence Constrained Parallel

    E-Print Network [OSTI]

    Towards Energy Aware Scheduling for Precedence Constrained Parallel Tasks: Jong Youl Cho Community Grids Lab, Indian University #12;Outlook Background;Energy model #12;Cluster model #12;Job model DAG model: T= (J, E) #12;Job

  1. Computerized schedule construction for an airbus transportation system

    E-Print Network [OSTI]

    Simpson, R. W.

    1966-01-01

    As part of a continuing study of the application of V/STOL aircraft to the transportation problems of the Northeast Corridor, the U.S. Department of Commerce has requested that detailed data be developed on schedules, ...

  2. POWER SCHEDULING IN A HYDROTHERMAL SYSTEM UNDER UNCERTAINTY

    E-Print Network [OSTI]

    Römisch, Werner

    POWER SCHEDULING IN A HYDRO­THERMAL SYSTEM UNDER UNCERTAINTY C.C. Carøe 1 , M.P. Nowak 2 , W. R: A multi­stage stochastic pro­ gramming model for power scheduling un­ der uncertainty in a generation system comprising thermal and pumped­storage hydro units is developed. For its compu­ tational solution

  3. A General Scheduling Strategy based on an Estimate of the Rate Region

    E-Print Network [OSTI]

    Bhashyam, Srikrishna

    at the institute, including Sreenath, Amarnath, Karthik, Amardeep, Sashidharan, Murali, Karthik Upadhyay and Mahesh

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

    SciTech Connect (OSTI)

    Nurre, Sarah G.; Carlson, Jeffrey J.

    2014-01-01

    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.

  5. Scheduling TV Commercials: Models and Solution Methodologies

    E-Print Network [OSTI]

    McCollum, Barry

    -based broadcasters (ADASSOC 2007). In order to maximize income, the broadcasters must ensure that they utilize published generally optimizing different models. For example, Hgele, Dnlaing and Riis (2001) models complex. For example, in the UK, there is a network of channels collectively known as UKTV. These include

  6. Microgrid Reliability Modeling and Battery Scheduling Using Stochastic Linear Programming

    SciTech Connect (OSTI)

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

    2013-05-23

    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.

  7. Research Support in Hungary Machine scheduling LED public lighting Microsimulation in public transportation Finally Optimization and Operation Research methods for

    E-Print Network [OSTI]

    Balzs, Bnhelyi

    Research Support in Hungary Machine scheduling LED public lighting Microsimulation in public Innovation Problems #12;Research Support in Hungary Machine scheduling LED public lighting Microsimulation in Hungary Machine scheduling LED public lighting Microsimulation in public transportation Finally The word

  8. Radiation Worker II Class Scheduled for Aug. 20; Sign up by Aug...

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

    Radiation Worker II Class Scheduled for Aug. 20; Sign up by Aug. 19 A Radiation Worker II (SAF802) class is scheduled for Thursday, Aug. 20, from 9 a.m. - 12 noon. The class will...

  9. MODELING REAL-TIME HUMAN-AUTOMATION COLLABORATIVE SCHEDULING OF UNMANNED VEHICLES

    E-Print Network [OSTI]

    Cummings, Mary "Missy"

    MODELING REAL-TIME HUMAN-AUTOMATION COLLABORATIVE SCHEDULING OF UNMANNED VEHICLES by ANDREW S, Humans and Automation Laboratory Certified by;3 MODELING REAL-TIME HUMAN-AUTOMATION COLLABORATIVE SCHEDULING OF UNMANNED VEHICLES by Andrew S. Clare

  10. Implementation of scheduling agents for the R-shell real-time environment

    E-Print Network [OSTI]

    Herdejurgen, Michael Seann

    1993-01-01

    resource guarantee, the scheduling agent must ensure that the resource requirements are no( exceeded. If any requirement, such as CPU time or memory used, is exceeded, then the procedure is aborted. In order to abort a procedure, the scheduling agent...

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

    E-Print Network [OSTI]

    Miller-Karns, Kara A.

    2009-05-15

    A good schedule is critical to the successful execution of any project. This is especially true in the process industry, where construction schedule overruns can be costly to the client due to lost production capability. Developing a standard...

  12. Complexity and Algorithms for Two-Stage Flexible Flowshop Scheduling with Availability Constraints

    E-Print Network [OSTI]

    Xie, Jinxing

    Complexity and Algorithms for Two-Stage Flexible Flowshop Scheduling with Availability Constraints problem with availability constraints. We discuss the complexity and the approximability of the problem cases of the problem. Keywords: Scheduling; Flexible flowshop; Availability constraints; Approximability

  13. An empirical study of planning and scheduling interactions in the road passenger transportation domain

    E-Print Network [OSTI]

    Qu, Rong

    An empirical study of planning and scheduling interactions in the road passenger transportation between planning and scheduling in a specific scenario, road pas- senger transportation. The problem (what planning analyzes). The relative change consists of slightingly decreasing the energy level

  14. An Investigation of Feedback Guided Dynamic Scheduling of Nested Loops D. J. Hancock

    E-Print Network [OSTI]

    Bull, Mark

    algorithms are based on guided selfscheduling (Polychronopoulos and Kuck [12]) or some variant thereof (see

  15. Nonmigratory Multiprocessor Scheduling for Response Time and Energy

    E-Print Network [OSTI]

    Wong, Prudence W.H.

    , Isaac K. K. To, and Prudence W. H. Wong Abstract---Energy usage has been an important concern in recent technology to reduce energy usage is dynamic speed scaling (see, e.g., [10], [21], [34]), where the processor to revisiting classical scheduling problems with dynamic speed scaling and energy usage taken into consideration

  16. Computing Nash Equilibria for Scheduling on Restricted Parallel Links

    E-Print Network [OSTI]

    Mavronicolas, Marios

    Computing Nash Equilibria for Scheduling on Restricted Parallel Links Martin Gairing Thomas L of assigning n jobs to m parallel machines. In a pure Nash equilibrium, no user may im- prove its own main result, we introduce a polynomial time algorithm to compute from any given assignment a pure Nash

  17. Planning and scheduling of PPG glass production, model and implementation.

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    considering waste glass management x Synchronization of the production and consumption of waste glass with 2Planning and scheduling of PPG glass production, model and implementation. Ricardo Lima Ignacio of the glass production x Capture the essence of the process that is not considered in the Master Production

  18. Planning and scheduling of PPG glass production, model and implementation.

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    production and consumption rates x compatibility matrix between colors x selling price Determine: x sequencePlanning and scheduling of PPG glass production, model and implementation. Ricardo Lima Ignacio of the glass production x capture the essence of the process that is not considered in the Master Production

  19. Fine-Grained Multi-Resource Scheduling in Cloud Datacenters

    E-Print Network [OSTI]

    Fu, Xiaoming

    Fine-Grained Multi-Resource Scheduling in Cloud Datacenters Yuan Zhang University of G--Cloud datacenters typically require tenants to spec- ify the resource demands for the virtual machines (VMs. Unfortunately, this leads to low resource utilization of cloud datacenters as tenants are obligated

  20. Tenure and Reappointment Schedule for tenure track Instructor I

    E-Print Network [OSTI]

    Pulfrey, David L.

    , 1st reappointment for 2 years Year 3 Year 4 Review for reappointment; if successful review, 2nd Reappointment July 1, [Year 3] to June 30, [Year 4] 2nd Reappointment Review [Year 4] 2nd Reappointment July 1Tenure and Reappointment Schedule for tenure track Instructor I Faculty Relations July 2011 Year 1

  1. DECISION SUPPORT TOOL FOR DYNAMIC WORKFORCE SCHEDULING IN MANUFACTURING ENVIRONMENTS

    E-Print Network [OSTI]

    Cummings, Mary "Missy"

    number of factors such as part availability, production cost, space constraints and labor supply must and scheduling assignments. Another factor that was stressed was the inclusion of ergonomic risk. Worker-task assignments that do not take into account ergonomic risk exposure can lead to repetitive stress injuries over

  2. Periodic Constraint-Based Control Using Dynamic Wireless Sensor Scheduling

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    to gather sensor measurements for the purposes of control, network energy usage must be incorporated have limitations on bandwidth, energy con- sumption, and transmission range. This paper introduces schedule such that the desired performance is achieved while minimizing the energy required to perform data

  3. Supplemental Schedules For the Year Ended June 30, 2013

    E-Print Network [OSTI]

    Stuart, Steven J.

    . This project for the school of architecture is one of the most striking and energy efficient buildings that illuminate the interior space. #12;~ 1 ~ Supplemental Schedules #12;~ 2 ~ #12;~ 3 ~ Detailed Supplemental,740,304 Fund balance 46,958,311 Total 109,289,259 Total 109,289,259 Public Service Activities: Public Service

  4. Energy-Aware Meeting Scheduling Algorithms for Smart Buildings

    E-Print Network [OSTI]

    Albonesi, David H.

    ; 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 The increasing worldwide concern over the energy con- sumption of commercial buildings calls for new approaches

  5. Test Access Mechanism Optimization, Test Scheduling, and Tester Data Volume

    E-Print Network [OSTI]

    Chakrabarty, Krishnendu

    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

  6. FIFO Based Multicast Scheduling Algorithm for VOQ Packet Switches

    E-Print Network [OSTI]

    Pan, Deng

    FIFO Based Multicast Scheduling Algorithm for VOQ Packet Switches Deng Pan and Yuanyuan Yang Abstract--Many networking/computing applications require high speed switching for multicast traffic at the switch/router level to save network bandwidth. However, existing queueing based packet switches

  7. Stability Region of Opportunistic Scheduling in Wireless Networks

    E-Print Network [OSTI]

    Cai, Lin

    be stabilized. Detailed numerical examples and simulations are given to illustrate the stability region-based scheduling in [3] which aims to maximize a pre-defined utility based on the long-term achievable throughput here is because, without considering the stochastic characteristic of incoming traffic, although

  8. Schedulability of Herschel-Planck Revisited Using Statistical Model Checking

    E-Print Network [OSTI]

    David, Alexandre

    when the system is schedulable. The methods are demonstrated on a complex satellite software system yielding new insights useful for the company. 1 Introduction Embedded systems involve the monitoring in a resource constrained manner in terms of for example memory, processing power, band- width, energy

  9. On Perimeter Coverage Scheduling in Wireless Sensor Networks

    E-Print Network [OSTI]

    Tam, Vincent W. L.

    is to monitor the whole target object as long as possible. In this paper, we first discuss the sufficient monitoring, target tracking, disaster management [1]. Traditionally, coverage problems concern whether- based schedule, we need to identify a set of sensors to monitor the target perimeter in ea

  10. Scheduling for Electricity Cost in Smart Grid Mihai Burcea1,

    E-Print Network [OSTI]

    Wong, Prudence W.H.

    Scheduling for Electricity Cost in Smart Grid Mihai Burcea1, , Wing-Kai Hon2 , Hsiang-Hsuan Liu2 management in smart grid. Consumers send in power requests with a flexible set of timeslots during which arising in "demand response manage- ment" in smart grid [7, 9, 18]. The electrical smart grid is one

  11. Distributed Uplink Scheduling in EV-DO Rev. A Networks

    E-Print Network [OSTI]

    Guerin, Roch

    Distributed Uplink Scheduling in EV-DO Rev. A Networks Ashwin Sridharan (Sprint Nextel) Ramesh Subbaraman, Roch Gurin (ESE, University of Pennsylvania) #12;5/23/2007 Networking 2007 - Atlanta 2 Overview of Problem Most modern wireless systems Deliver high performance through tight control of transmissions

  12. Advanced Reservation-based Scheduling of Task Graphs on Clusters

    E-Print Network [OSTI]

    Buyya, Rajkumar

    , in order to solve the above problems, we propose a scheduling approach for TGs by using advance reservation by interweaving one or more TGs within the same reservation block and/or backfilling with independent jobs. 1 [1]. Thus, to run these TGs, we need a target system that is tightly coupled by fast interconnection

  13. Distributed Channel Probing for Efficient Transmission Scheduling in Wireless Networks

    E-Print Network [OSTI]

    Srikant, Rayadurgam

    to continuously estimate the channel quality before each transmission decision in opportunistic scheduling over statistics and rates, and note its tightness in the symmetric and independent ON- OFF fading scenario. We transmission decision. However, in the presence of many contending users that utilize the time-varying channel

  14. Risk-based integrated production scheduling and electricity procurement for

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    good solutions. Keywords: Production scheduling, electricity procurement, demand response, stochastic in electricity demand and increasing penetration of intermittent renewable energy into the electricity supply mix, it is becoming increasingly difficult to match electricity demand and supply in the power grid (Hand et al., 2012

  15. CADS: Core-Aware Dynamic Scheduler for Multicore Memory Controllers

    E-Print Network [OSTI]

    Sun, Xian-He

    Xian-He Sun Department of Computer Science Illinois Institute of Technology, Chicago, IL 60616, USA {eolmedo, sbyna, sun}@iit.edu Abstract Memory controller scheduling is crucial in multicore processors the computing power these processors offer. However, current multicore processors are using traditional memory

  16. Understanding Process Plant Schedule Slippage and Startup Costs

    Office of Energy Efficiency and Renewable Energy (EERE)

    This study explores major factors causing schedule delays and problems often experienced in constructing and starting up new process plants. The results of this research provide new insights into the problems firms across the process industries encounter in planning major plant developments.

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

    E-Print Network [OSTI]

    Nagi, Rakesh

    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

  18. Geology 103 The Dynamic Earth Syllabus and Schedule Fall 2007

    E-Print Network [OSTI]

    Kirby, Carl S.

    Geology 103 The Dynamic Earth Syllabus and Schedule Fall 2007 Dr. Carl Kirby 9:30-10:52 TTh O'Leary 232 Office: 226 O'Leary Lab T or Th 1-5 O'Leary 218 www.facstaff.bucknell.edu/kirby/ 577-1385; kirby

  19. Optimal Maintenance Scheduling of a Gas Engine Power Plant

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    1 Optimal Maintenance Scheduling of a Gas Engine Power Plant Pedro M. Castro Ignacio E. Grossmann MILP starting from GDP model September 4-5 2EWO Fall Meeting 2013 Problem statement Gas Engine Power Plant Project in Sasolburg (SGEPP) 18 identical gas engines consuming natural gas & producing

  20. Optimal Maintenance Scheduling of a Power Plant with Seasonal

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    hours for periods with high electricity tariff Sasolburg Gas Engine Power Plant 18 Wrtsila 34 SG statement Gas engine power plant 18 identical engines with generation capacity = 10 MW Only 1Optimal Maintenance Scheduling of a Power Plant with Seasonal Electricity Tariffs Pedro M. Castro

  1. Solving Parallel Machine Scheduling Problems by Column Generation

    E-Print Network [OSTI]

    Powell, Warren B.

    and bound #12;1 Introduction We consider a class of problems of scheduling n independent jobs N = f1;2;:::;ng on m identical, uniform, or unrelated parallel machines M = f1;2;:::;mg with an objective of Systems Engineering University of Pennsylvania Philadelphia, PA 19104-6315 Warren B. Powell Department

  2. Software Requirements Specification of A University Class Scheduler

    E-Print Network [OSTI]

    Needell, Deanna

    tool, requirements specification, use cases, scenarios, class diagram, UML. 1 Introduction of this project has been on academic scheduling for universities, yet due to its flexible design the UCS can of entering large amounts of data. There are rather few similar products currently on the market, for instance

  3. Towards Thermal Aware Workload Scheduling in a Data Center

    E-Print Network [OSTI]

    Towards Thermal Aware Workload Scheduling in a Data Center Lizhe Wang, Gregor von Laszewski, Jai for data centers, however, the heat dissipation density of data cen- ters increases exponentially. There is strong evidence to support that high temperatures of such data centers will lead to higher hardware

  4. Delay Optimal Scheduling for Energy Harvesting Based Communications

    E-Print Network [OSTI]

    Dai, Huaiyu

    1 Delay Optimal Scheduling for Energy Harvesting Based Communications Juan Liu, Huaiyu Dai, Senior research interest recently. Equipped with a rechargeable battery, a source node can harvest energy from ambient environments and rely on this free and regenerative energy supply to transmit packets. Due

  5. Multicore scheduling in automotive ECUs Aurlien Monot1,2

    E-Print Network [OSTI]

    Navet, Nicolas

    , multicore ECUs are be- ing gradually introduced in the automotive domain. Those multicore platforms offerMulticore scheduling in automotive ECUs Aurlien Monot1,2 , Nicolas Navet3 , Franoise Simonot1 power is quickly increasing in the automotive domain, car manufactur- ers and tier-one suppliers

  6. Simultaneous Cyclic Scheduling and Control of a Multiproduct CSTR Reactor

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    transition time [2]. When addressing optimal control problems, it is normally assumed that the production] who fixed the production sequence and used dynamic optimization for production planning optimizationSimultaneous Cyclic Scheduling and Control of a Multiproduct CSTR Reactor Antonio Flores

  7. Integration of Scheduling and Control Antonio Flores T.

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    : Planning: Defines desired changes to current business affecting access to raw material, production.e. start time, unit to be used,processing time, production level), medium term objectives Control 1 "Planning, scheduling and control systems: why cannot they work together", Donald E. Shobrys

  8. Efficient Encoding Schedules for XOR-based Erasure Codes

    E-Print Network [OSTI]

    Xu, Lihao

    , and James S. Plank Abstract--In data storage systems, it is crucial to protect data from loss due that XOR-scheduling has great potential to have wide impact in practical storage systems. Index Terms--Erasure correcting codes, storage systems 3 1 INTRODUCTION AS the amount of data increases exponentially in large

  9. Medium Term Planning & Scheduling under Uncertainty for BP Chemicals

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Results & Future Research #12;5 By Products Benzene: Used elsewhere by other BP companies. Styrene can1 Medium Term Planning & Scheduling under Uncertainty for BP Chemicals Progress Report Murat Kurt Products & Applications Models Results & Future Research #12;4 Products - PTA Purified Terephthalic Acid

  10. SALARY PAYMENT SCHEDULE FOR ENROLLING IN 9 OVER 12

    E-Print Network [OSTI]

    Minnesota, University of

    SALARY PAYMENT SCHEDULE FOR ENROLLING IN 9 OVER 12 MEMORANDUM OF AGREEMENT FISCAL YEAR ________________ By signing this agreement, I authorize the University of Minnesota to initiate paying my base salary over 12 year of my salary overpayment that may exist. _____ Stop my 9 over 12 option. By checking this, I

  11. Computing Schedules for Time-Triggered Control using Genetic Algorithms

    E-Print Network [OSTI]

    Fainekos, Georgios E.

    (Astrom and Wittenmark (1997)) has traditionally focused on the design and analysis of computer control for embedded control systems. Given a number of numerical computation tasks that must be executed search. Keywords: Scheduling; Digital control; Genetic algorithms; 1. INTRODUCTION Digital control theory

  12. Unrelated parallel machine scheduling with resource dependent processing times

    E-Print Network [OSTI]

    Sviridenko, Maxim

    machine- dependence, the processing time of any job is also dependent on the usage of a scarce renewable lying in the fact the resource is renewable and not a total budget con- straint. We use a two-phased LP be adapted to scheduling problems with ded- icated machines as well, with an improvement of the performance

  13. Integrated schedule planning with supply-demand interactions

    E-Print Network [OSTI]

    Bierlaire, Michel

    as well as other operations including the crew scheduling and recovery operations. Maintenance. According to the statistics provided by the Association of European Airlines (AEA), air travel traffic has is expected to be doubled compared to 1997. This increase results with disruptions in the operations. To give

  14. Low Power Round-Robin Scheduling Raul Brito -Nicolas Navet

    E-Print Network [OSTI]

    Navet, Nicolas

    addressed here is to minimize the energy consumption of a set of jobs scheduled under the RR policy while Scientifique - BP 236 54506 Vandoeuvre-ls-Nancy - France Raul.Brito@loria.fr - Nicolas.Navet@loria.fr Abstract Energy consumption is becoming a crucial issue in the design of digital systems especially when

  15. Energy-Efficient Scheduling of HPC Applications in Cloud Computing

    E-Print Network [OSTI]

    Buyya, Rajkumar

    are essentially data centers which require high energy 2 usage to maintain operation [4]. Today, a typical data center with 1000 racks need 10 Megawatt of power to operate [5]. High energy usage is undesirable sinceEnergy-Efficient Scheduling of HPC Applications in Cloud Computing Environments Saurabh Kumar Garg

  16. Deadline Scheduling and Power Management for Speed Bounded Processors

    E-Print Network [OSTI]

    Wong, Prudence W.H.

    deadline scheduling on a processor that can manage its energy usage by scaling the speed dynamically 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

  17. Controller Area Network (CAN) Schedulability Analysis for Messages

    E-Print Network [OSTI]

    Navet, Nicolas

    and Work-Conserving Queues Robert Davis1 and Nicolas Navet2 1Real-Time Systems Research Group, University Motivation and work-conserving queues Scheduling model and analysis for priority queues Analysis for Work-conserving queues Priority assignment Case study Impact of work-conserving queues Empirical investigation Summary

  18. Evolutionary Approach for Multi-Objective Scheduling in Surgical Unit

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    unsettled its smooth running. Besides, it requires rules of resources management and tasks organization in order to maximize efficiency. Thus, scheduling in the surgical unit will allow the Hospital to manage, published in "Confrence Francophone Gestion et Ingnierie des Systmes Hospitaliers (GISEH 2012), Quebec

  19. Optimal Scheduling for Energy Harvesting Transmitters with Hybrid Energy Storage

    E-Print Network [OSTI]

    Ulukus, Sennur

    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

  20. Methods for Optimal Pedestrian Task Scheduling and Routing Srihari Narasimhan

    E-Print Network [OSTI]

    Qu, Rong

    Methods for Optimal Pedestrian Task Scheduling and Routing Srihari Narasimhan IPVS, Universit to monitor the movement and behavior of pedestrians, especially where there are a huge number of visitors the pedestrian be- havior. As a result, the congestions as well as the queue sizes at different times can

  1. Scheduling Techniques for Hybrid Circuit/Packet Networks

    E-Print Network [OSTI]

    Zwicker, Matthias

    Carnegie Mellon University Intel Labs Google, Inc. ABSTRACT A range of new datacenter switch designs the hybrid switching problem, explore the design space of scheduling algorithms, and provide insight on using, power, and cabling. Packet switches are flexible, capable of making forwarding decisions

  2. An Evaluation of Sequencing Heuristics for Flexible Flowshop Scheduling Problems

    E-Print Network [OSTI]

    Magdeburg, Universitt

    . Furthermore, some iterative heuristics such as a genetic algorithm and a simulated annealing approach algorithm; simulated annealing 1. Introduction Production scheduling can be defined as the allocation), rubber (Yanney and Kuo, 1989), photographic film (Tsubone, Ohba, Takamuki, and Miyake, 1993), steel

  3. An Availability-Aware Task Scheduling Strategy for Heterogeneous Systems

    E-Print Network [OSTI]

    Xie, Tao

    An Availability-Aware Task Scheduling Strategy for Heterogeneous Systems Xiao Qin, Member, IEEE, and Tao Xie, Member, IEEE Abstract--High availability is a key requirement in the design and development of heterogeneous systems where processors operate at different speeds and are not continuously available

  4. POWER SCHEDULING IN A HYDRO-THERMAL SYSTEM UNDER UNCERTAINTY

    E-Print Network [OSTI]

    Rmisch, Werner

    POWER SCHEDULING IN A HYDRO-THERMAL SYSTEM UNDER UNCERTAINTY C.C. Car e1, M.P. Nowak2, W. Romisch2 and pumped-storage hydro units is developed. For its compu- tational solution two di erent decompo- sition-burning) thermal units, pumped-storage hydro plants and delivery con- tracts and describe an optimization model

  5. GreenSlot: Scheduling Energy Consumption in Green Datacenters

    E-Print Network [OSTI]

    , as demonstrated by the many small and medium datacen- ters (partially or completely) powered by solar and/or wind-energy-aware scheduling can have a signifi- cant role in building a more sustainable IT ecosystem. Categories and Subject is actually due to countless small and medium-sized data- centers [33], which are much less efficient

  6. Optimization of Steel Production Scheduling with Complex Time-

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    in the prices of energy might significantly affect the profitability as shown for a stainless-steel productionOptimization of Steel Production Scheduling with Complex Time- Sensitive Electricity Cost Hubert Research, Wallstadter Str. 59, 68526 Ladenburg, Germany b Technische Universität Dortmund, Emil-Figge Str

  7. Optimizing buffer sizes for pipeline workflow scheduling with setup times

    E-Print Network [OSTI]

    Benoit, Anne

    Optimizing buffer sizes for pipeline workflow scheduling with setup times Anne Benoit1, Jean real-life applications have a linear pipelined struc- ture, where each data set must go through all (data sets) enters the pipeline and must go through several stages such as filters, encoders, and so

  8. Scheduling Planned Maintenance of Electrical Power Transmission Networks Using

    E-Print Network [OSTI]

    Fernandez, Thomas

    Scheduling Planned Maintenance of Electrical Power Transmission Networks Using Genetic Algorithms Technical Report: CSRP9726 10 November 1997 Abstract The maintenance of the electrical power transmission Plan ning, Electricity Transmission Networks. 1 To appear in In Gennady K. Voronovsky and Serguey A

  9. Geography 347: Water as a Resource Lecture Schedule -Fall, 2012

    E-Print Network [OSTI]

    James, L. Allan

    Geography 347: Water as a Resource Lecture Schedule - Fall, 2012 Instructor: Dr. Allan James; Room: an essential resource Ch.1 2 Tu History of Hydrology; Physical Properties of Water Ch.2 Th Global Hydrologic Flood Hazards Management scan Ch.15 & 16 Th Fall Break, no classes ------- #12;Geography 347: Water

  10. Simultaneous Planning and Scheduling of Single-Stage Multiproduct Continuous Plants with Parallel Lines

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    , Carnegie Mellon University, Pittsburgh, Pennsylvania 15213 Key words: Planning; Scheduling; Multi-product integer linear programming model for the simultaneous planning and scheduling of single stage multi-product level the simultaneous planning and scheduling model is solved for a subset of products predicted

  11. A comparative study of continuous-time modelings for scheduling of crude oil operations

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    A comparative study of continuous-time modelings for scheduling of crude oil operations Xuan Chena and formulations for the crude oil scheduling problem. We compare the event-based model, the unit slot model on its efficient performance for industrial problems. Keywords: Crude oil scheduling; event-based model

  12. Scheduling of large scale crude oil blending Felipe Diaz-Alvarado1, Francisco Trespalacios2,

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Scheduling of large scale crude oil blending Felipe Diaz-Alvarado1, Francisco Trespalacios2, 30 (4): 614-634. Diaz-Alvarado, Trespalacios, Grossmann Scheduling of large scale crude oil blending, P. A Novel Priority-Slot Based Continuous-Time Formulation for Crude-Oil Scheduling Problems

  13. Discrete-Time Scheduling under Real-Time Constraints Eduard Cerny

    E-Print Network [OSTI]

    Aboulhamid, El Mostapha

    into a discrete- time relative schedule. Such a schedule serves as the basis for implementing a synchronous state-machine controller. Keywords: Timing diagrams, relative scheduling, real-time constraints, synchronous state machines that is suitable for synchronous system implementations. The input specification is in the form of timing diagrams

  14. ISIS 9.0 | Schedule of Classes Report 1 Created: 10.24.12

    E-Print Network [OSTI]

    Capogna, Luca

    ISIS 9.0 | Schedule of Classes Report 1 Created: 10.24.12 Schedule of Classes Report ISIS 9.0 Running the Schedule of Classes Report Security access to the Report Manager option in ISIS is necessary to run this report. The process used to run this report is similar to all report processes in ISIS. 1

  15. Nonserial Dynamic Programming with Applications in Smart Home Appliances Scheduling Part I: Precedence Graph Simplification

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    Nonserial Dynamic Programming with Applications in Smart Home Appliances Scheduling Part I-- In this and a companion paper a dynamic pro- gramming (DP) approach to solve a smart home appliances scheduling problem to the smart home appliances scheduling problem considered in [1], [2]. The problem seeks to determine

  16. Cooperative Distributed Scheduling for Storage Devices in Microgrids using Dynamic KKT Multipliers and Consensus Networks

    E-Print Network [OSTI]

    Chow, Mo-Yuen

    Cooperative Distributed Scheduling for Storage Devices in Microgrids using Dynamic KKT Multipliers in the proceedings of the conference. #12;1 Abstract--Scheduling of storage devices in microgrids with multiple that can optimally schedule the storage devices in a microgrid solely through peer-to-peer coordination

  17. Complex Goal Criteria and Its Application in DesigntoCriteria Scheduling \\Lambday

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Complex Goal Criteria and Its Application in DesigntoCriteria Scheduling \\Lambday Thomas Wagner for satisficing to best meet the criteria. In the context of the DesigntoCriteria task scheduling paradigm, we specification and corre sponding evaluation mechanism are used throughout the DesigntoCriteria scheduling

  18. A Planning, Scheduling and Control Architecture for Advanced Life Support Systems

    E-Print Network [OSTI]

    Kortenkamp, David

    A Planning, Scheduling and Control Architecture for Advanced Life Support Systems V. Jorge Leon 77058 Abstract This paper describes an integrated planning, schedul- ing and control architecture and the requirements for plan- ning, scheduling and control architectures are pre- sented. Next, the main components

  19. On Utility Accrual Processor Scheduling with Wait-Free Synchronization for Embedded Real-Time Software

    E-Print Network [OSTI]

    Ravindran, Binoy

    On Utility Accrual Processor Scheduling with Wait-Free Synchronization for Embedded Real-Time Software ABSTRACT We present the first wait-free utility accrual (UA) real-time scheduling algorithms for embedded real-time systems. UA scheduling algorithms allow application activities to be sub- ject to time/utility

  20. A Utility Accrual Scheduling Algorithm for Real-Time Activities With Mutual Exclusion Resource Constraints

    E-Print Network [OSTI]

    Ravindran, Binoy

    A Utility Accrual Scheduling Algorithm for Real-Time Activities With Mutual Exclusion Resource-processor real-time scheduling algorithm called the Generic Utility Scheduling algorithm (which we will refer activities that have time con- straints specified using arbitrarily shaped time/utility functions, and have

  1. Production, Manufacturing and Logistics Using real time information for effective dynamic scheduling

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    In many production processes real time information may be obtained from process control computers of the revised schedule against the production disturbance which results from changing the planned schedule. We into scheduling the complex production processes of steel continuous caster planning. 2002 Elsevier Science B

  2. Batch Splitting in an Assembly Scheduling Environment Satyaki Ghosh Dastidar Rakesh Nagi1

    E-Print Network [OSTI]

    Nagi, Rakesh

    and the diversity of the product mix has made the production planning and scheduling more complex. In the current and setup costs, and timely delivery. Although there have been advances in production control techniques A classical approach in production planning and scheduling is to derive a Master Production Schedule (MPS

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

    E-Print Network [OSTI]

    Morton, David

    1995-01-01

    Annals of Operations Research 59(1995)99-133 99 SOCRATES: A system for scheduling hydroelectric varies widely from year to year, depending on precipitation and streamflows. Optimal scheduling to PG&E. SOCRATES is a system for the optimal scheduling of PG&E's various energy sources over a one

  4. Scheduling Automated Traffic on a Network of Arvind Giridhar and P.R. Kumar

    E-Print Network [OSTI]

    vehicles which are au- tomatically driven along smart highways and/or city roads [2], [3]. Such automation consider the problem of scheduling automated traffic in a city. Such automatic scheduling can improve algorithm and evaluate its performance through simulations. Index Terms: Traffic scheduling, smart vehicles

  5. Fair Round Robin: A Low Complexity Packet Scheduler with Proportional and Worst-Case

    E-Print Network [OSTI]

    Yuan, Xin

    1 Fair Round Robin: A Low Complexity Packet Scheduler with Proportional and Worst-Case Fairness Xin existing round robin schedulers. Index Terms-- Packet scheduling, proportional fairness, worst- case, the proportional fairness that was defined by Golestani in [6] and the worst-case fairness that was defined

  6. Energy-Aware Scheduling with Quality of Surveillance Guarantee in Wireless Sensor Networks Technical Report

    E-Print Network [OSTI]

    Jeong, Jaehoon "Paul"

    Energy-Aware Scheduling with Quality of Surveillance Guarantee in Wireless Sensor Networks 200 Union Street SE Minneapolis, MN 55455-0159 USA TR 06-021 Energy-Aware Scheduling with Quality #12;#12;1 Energy-Aware Scheduling with Quality of Surveillance Guarantee in Wireless Sensor Networks

  7. Energy-Aware Scheduling with Quality of Surveillance Guarantee in Wireless Sensor Networks

    E-Print Network [OSTI]

    Jeong, Jaehoon "Paul"

    Energy-Aware Scheduling with Quality of Surveillance Guarantee in Wireless Sensor Networks Jaehoon: Sensor Networks, Quality of Surveillance, De- tection, Scheduling, Energy, Mobile Target, Vehicle. 1 an energy-efficient scheduling al- gorithm for detection of mobile targets in wireless sensor networks. We

  8. A GA-based Approach for Scheduling Decomposable Data Grid Applications

    E-Print Network [OSTI]

    Weissman, Jon

    A GA-based Approach for Scheduling Decomposable Data Grid Applications Seonho Kim and Jon B data onto communication and computation resources. The proposed GA-based scheduler takes advantage, Data Grid, Job Scheduling, Genetic Algorithm, Parallel Processing Relevant technical areas: Network-Based

  9. Economic Scheduling in Grid Computing Carsten Ernemann, Volker Hamscher and Ramin Yahyapour,

    E-Print Network [OSTI]

    Feitelson, Dror

    1 Economic Scheduling in Grid Computing Carsten Ernemann, Volker Hamscher and Ramin Yahyapour by individuals with dif- ferent access and cost policies. This paper addresses the idea of applying economic models to the scheduling task. To this end a scheduling infrastructure and a market-economic method

  10. Contention-Free Periodic Message Scheduler Medium Access Control in Wireless Sensor / Actuator Networks

    E-Print Network [OSTI]

    Barua, Rajeev

    , and chemical content to enable precise application of agents such as water, fertilizer, and pesticideContention-Free Periodic Message Scheduler Medium Access Control in Wireless Sensor / Actuator implemented with a contention-free message scheduler. A message scheduler is used to determine which message

  11. Automated and Scheduled Maintenance of Digital Library Collections Wendy Osborn and Steve Fox

    E-Print Network [OSTI]

    Seldin, Jonathan P.

    Automated and Scheduled Maintenance of Digital Library Collections Wendy Osborn and Steve Fox and scheduled maintenance of a digital library collection. Existing systems require the user either to add new module into the Greenstone digital library software, which allows the user to set up scheduled

  12. The value of schedule update frequency on distributed energy storage performance in renewable energy

    E-Print Network [OSTI]

    Boyer, Edmond

    The value of schedule update frequency on distributed energy storage performance in renewable of Distributed Energy Storage devices for Renewable Energy integration. The primary objective is to describe scheduling on the storage performance in renewable energy integration. Optimal schedules of Distributed

  13. On Scheduling AlltoAll Personalized Connections and CostEffective Designs in WDM Rings \\Lambda

    E-Print Network [OSTI]

    Qiao, Chunming

    . Or, if a high degree of transparency, \\Lambda A preliminary version entitled ``Scheduling All, which we refer to as a round. The number of rounds needed to schedule AAPC will be called the schedule for an appropriate round to transmit/receive at a predetermined wavelength. In addition, the maximum connection

  14. Position Management and Classification

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

    2015-04-01

    The order establishes departmental requirements and responsibilities for classifying positions using the general schedule (GS) and federal wage system (FWS) standards and to develop and administer a sound position management and classification program. Supersedes DOE O 325.2, dated 4-1-15.

  15. Position Management and Classification

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

    2015-04-01

    The order establishes departmental requirements and responsibilities for classifying positions using general schedule (GS) and federal wage system (FWS) standards and for developing and administering a sound position management and classification program within the Department. Cancels Chapter VII of DOE O 320.1. Canceled by DOE O 325.2 Chg 1 (Admin Chg), 9-1-15.

  16. Reoptimization of the Minimum Total Flow-Time Scheduling We consider reoptimization problems arising in dynamic scheduling environments, such

    E-Print Network [OSTI]

    Tamir, Tami

    of the classical scheduling problem of minimizing the total flow-time on identical machines (denoted in standard and virtual machine managers. Due to changes in the environment (out-of-order or new resources, modified jobs their current machine to a different one. Migrations are associated with a cost due to relocation overhead

  17. LOOP SCHEDULING FOR MINIMIZING SCHEDULE LENGTH AND SWITCHING Zili Shao, Qingfeng Zhuge, Edwin H.-M. Sha

    E-Print Network [OSTI]

    Sha, Edwin

    constraint. We design an algorithm, Power Reduction Rotation Schedul- ing (PRRS), to minimize both switching-complete when considering switching activities as the second constraint. An algorithm, Power Reduc- tion satisfying the timing constraint. Since switching activities play a key role in the total power consump- tion

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

    E-Print Network [OSTI]

    Graves, Gregory Howard

    1998-01-01

    is arranged as shown in Figure l. As the production levels for the company increase, the need for efficient scheduling of this shop becomes more evident. 2 3 4 3 P6 7 8 9 10 11 12 13 14 16 17 18 19 15 20 1. Welding Shop 2. Automatic Saw 3. CNC...

  19. General Provisions, Page 1 The purpose of this Human Resources Manual is to

    E-Print Network [OSTI]

    General Provisions, Page 1 Purpose The purpose of this Human Resources Manual is to: 1. Provide for submission of Human Resources System data. 4. Outline the conditions, methods and schedules of employee pay State University is a land-grant institution committed to offering access in it's educational, scholarly

  20. Canister storage building compliance assessment DOE Order 6430.1A, General Design Criteria

    SciTech Connect (OSTI)

    BLACK, D.M.

    1999-08-12

    This document presents the Project's position on compliance with DOE Order 6430.1A ''General Design Criteria.'' No non-compliances are shown. The compliance statements have been reviewed and approved by DOE. Open items are scheduled to be closed prior to project completion.

  1. A GENERALIZED MODEL OF MUTATION-SELECTION BALANCE WITH APPLICATIONS TO AGING

    E-Print Network [OSTI]

    Evans, Steven N.

    A GENERALIZED MODEL OF MUTATION-SELECTION BALANCE WITH APPLICATIONS TO AGING DAVID STEINSALTZ to cover mutation-driven changes in full age-specific demo- graphic schedules. The model accommodates of solutions in a restricted case. Examples are given of applications to the biodemography of aging. 1

  2. Bivariate Generalized Exponential Distribution

    E-Print Network [OSTI]

    Kundu, Debasis

    Bivariate Generalized Exponential Distribution Debasis Kundu and Rameshwar D. Gupta Abstract Recently it is observed that the generalized exponential distribution can be used quite effectively exponential distribution so that the marginals have generalized exponential distributions. It is observed

  3. Tool for Generating Realistic Residential Hot Water Event Schedules: Preprint

    SciTech Connect (OSTI)

    Hendron, B.; Burch, J.; Barker, G.

    2010-08-01

    The installed energy savings for advanced residential hot water systems can depend greatly on detailed occupant use patterns. Quantifying these patterns is essential for analyzing measures such as tankless water heaters, solar hot water systems with demand-side heat exchangers, distribution system improvements, and recirculation loops. This paper describes the development of an advanced spreadsheet tool that can generate a series of year-long hot water event schedules consistent with realistic probability distributions of start time, duration and flow rate variability, clustering, fixture assignment, vacation periods, and seasonality. This paper also presents the application of the hot water event schedules in the context of an integral-collector-storage solar water heating system in a moderate climate.

  4. Replacement-2-A Wholesale Power Rate Schedule | Department of Energy

    Energy Savers [EERE]

    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 DeliciousMathematicsEnergyInterestedReplacement-2-A Wholesale Power Rate Schedule Replacement-2-A Wholesale Power

  5. Replacement-3 Wholesale Power Rate Schedule | Department of Energy

    Energy Savers [EERE]

    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 DeliciousMathematicsEnergyInterestedReplacement-2-A Wholesale Power Rate Schedule Replacement-2-A Wholesale

  6. DOERS Records Schedule Cross Index to DOE Administrative Records

    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: Alternative Fuels DataEnergy Webinar:IAbout Us| Department ofDisposition Schedules |

  7. Energy Efficient Greedy Link Scheduling and Power Control in wireless networks

    E-Print Network [OSTI]

    Sridharan, Arun

    2012-01-01

    We consider the problem of joint link scheduling and power control for wireless networks with average transmission power constraints. Due to the high computational complexity of the optimal policies, we extend the class of greedy link scheduling policies to handle average power constraints. We develop a greedy link scheduling and power control scheme GECS, with provable performance guarantees. We show that the performance of our greedy scheduler can be characterized using the Local Pooling Factor (LPF) of a network graph, which has been previously used to characterize the stability of the Greedy Maximal Scheduling (GMS) policy for wireless networks. We also simulate the performance of GECS on wireless network, and compare its performance to another candidate greedy link scheduling and power control policy.

  8. Hanford Site Environmental Surveillance Master Sampling Schedule for Calendar Year 2011

    SciTech Connect (OSTI)

    Bisping, Lynn E.

    2011-01-21

    This document contains the calendar year 2011 schedule for the routine collection of samples for the Surface Environmental Surveillance Project and the 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 2011, the anticipated year for collection is provided. Maps showing approximate sampling locations are included for media scheduled for collection in 2011.

  9. Hanford Site Environmental Surveillance Master Sampling Schedule for Calendar Year 2007

    SciTech Connect (OSTI)

    Bisping, Lynn E.

    2007-01-31

    This document contains the calendar year 2007 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 and may not be collected in 2007 in which case the anticipated year for collection is provided. Maps showing approximate sampling locations are included for media scheduled for collection in 2007.

  10. DE-EM-0001971 WIPP M&O H-i PART I -THE SCHEDULE

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

    to the start of each Fiscal Year, DOE shall provide the Contractor program execution guidance in sufficient detail to develop an estimated cost, scope, and schedule. The...

  11. A Methodology to Analyze the Impact of 30-Minute Wind Scheduling on Load-Following Requirements

    SciTech Connect (OSTI)

    Diao, Ruisheng; Makarov, Yuri V.; Samaan, Nader A.; Kujala, Ben

    2014-12-24

    This paper proposes a new and systematic approach to investigating the impact of wind transfer between balancing authorities (BAs) with half-hour scheduling on load following requirements, which was traditionally scheduled on an hourly basis. The analysis is conducted for a few BAs in the Pacific Northwest of the U.S. that are described as source BAs (sending renewables) and sink BAs (receiving renewables). The main hypothesis is that if the source BA could schedule interchange for wind on a half-hourly basis, it would make the schedule follow its net load more closely. The scheduling change in the source BA is matched by adding the corresponding component to the net load in the sink BA. The load-following requirements are calculated as: (a) by the difference between the net load and modified schedule in the source BA, and (b) the difference between modified net load and unchanged hourly schedule in the sink BA. Results are presented as hourly upward and downward load following requirements in the source and sink BA, and compared with the results obtained with all generators scheduled on an hourly basis. Thus, the proposed method can effectively help utilities better understand the impact of 30-minute scheduling and make better business decisions.

  12. An Integrated Approach to Locality-Conscious Processor Allocation and Scheduling of Mixed-Parallel Applications

    SciTech Connect (OSTI)

    Vydyanathan, Naga; Krishnamoorthy, Sriram; Sabin, Gerald M.; Catalyurek, Umit V.; Kurc, Tahsin; Sadayappan, Ponnuswamy; Saltz, Joel H.

    2009-08-01

    Complex parallel applications can often be modeled as directed acyclic graphs of coarse-grained application-tasks with dependences. These applications exhibit both task- and data-parallelism, and combining these two (also called mixedparallelism), has been shown to be an effective model for their execution. In this paper, we present an algorithm to compute the appropriate mix of task- and data-parallelism required to minimize the parallel completion time (makespan) of these applications. In other words, our algorithm determines the set of tasks that should be run concurrently and the number of processors to be allocated to each task. The processor allocation and scheduling decisions are made in an integrated manner and are based on several factors such as the structure of the taskgraph, the runtime estimates and scalability characteristics of the tasks and the inter-task data communication volumes. A locality conscious scheduling strategy is used to improve inter-task data reuse. Evaluation through simulations and actual executions of task graphs derived from real applications as well as synthetic graphs shows that our algorithm consistently generates schedules with lower makespan as compared to CPR and CPA, two previously proposed scheduling algorithms. Our algorithm also produces schedules that have lower makespan than pure taskand data-parallel schedules. For task graphs with known optimal schedules or lower bounds on the makespan, our algorithm generates schedules that are closer to the optima than other scheduling approaches.

  13. Scheduling on a single machine under time-of-use electricity tariffs

    E-Print Network [OSTI]

    Apr 10, 2014 ... Abstract: We consider the problem of scheduling jobs on a single machine to minimize the total electricity cost of processing these jobs under...

  14. RE-SCHEDULED FROM JAN 22 TO JAN 28 - COLLOQUIUM: Addressing Big...

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

    Colloquia MBG Auditorium RE-SCHEDULED FROM JAN 22 TO JAN 28 - COLLOQUIUM: Addressing Big Data Challenges in Simulation-based Science Professor Manish Parashar Rutgers...

  15. On the user-scheduler relationship in high-performance computing

    E-Print Network [OSTI]

    Lee, Cynthia Bailey

    2009-01-01

    example, the Cray-2 [4] super- computer and its contemporaryweeks of operation of the super- computer. Comparing to theis shared with other super- computer schedulers, namely the

  16. Jointly Optimizing Cost, Service, and Environmental Performance in Demand-Responsive Transit Scheduling

    E-Print Network [OSTI]

    Dessouky, Maged

    Jointly Optimizing Cost, Service, and Environmental Performance in Demand-Responsive Transit-cycle environmental consequences in vehicle routing and scheduling, which we develop for a demand- responsive

  17. PHENIX Work Breakdown Structure. Cost and schedule review copy

    SciTech Connect (OSTI)

    Not Available

    1994-02-01

    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 shows Total, M&S, EDIA, and Labor breakdowns, as well as contingency, for each WBS entry.

  18. PHENIX WBS notes. Cost and schedule review copy

    SciTech Connect (OSTI)

    Not Available

    1994-02-01

    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.

  19. Utah Water Rights Fee Schedule | Open Energy Information

    Open Energy Info (EERE)

    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| Open Energy Information Serbia-EnhancingEt Al.,Turin, New York:PowerNewPumaty JumpRules ofOfficeQualityFee Schedule

  20. Trident schedule FY16 -- rev 11-10-15.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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservationBio-Inspired SolarAbout / TransformingTransuranic SolicitationTribologySchedule FY

  1. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-ThroughputUpcoming ReleaseSecurityPediatric CancerSchedules of Key EnvironmentalAug

  2. Santee-1-E Wholesale Power Rate 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:Financing Tool FitsProjectData Dashboard RutlandSTEAB's1-E Wholesale Power Rate Schedule Santee-1-E

  3. Santee-2-E Wholesale Power Rate 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:Financing Tool FitsProjectData Dashboard RutlandSTEAB's1-E Wholesale Power Rate Schedule

  4. Duke-4-E Wholesale Power Rate Schedule | Department of Energy

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i Framing DocumentUnits atis from a BuildingSelf-Schedulers System:

  5. LCLS-scheduling-run_6_Ver4.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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACTThousand CubicResource and JobLCLS Operating ScheduleUser-Assisted 1 2 3

  6. LCLS-scheduling-run_V_Ver9c.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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACTThousand CubicResource and JobLCLS Operating ScheduleUser-Assisted 1 2 3

  7. Schedule of Events - Combustion Energy Frontier Research Center

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation ofAlbuquerque| Stanford Synchrotron Radiation LightsourceScatteringSchedule

  8. From Packet to Power Switching: Digital Direct Load Scheduling

    E-Print Network [OSTI]

    Alizadeh, Mahnoosh; Thomas, Robert J

    2012-01-01

    At present, the power grid has tight control over its dispatchable generation capacity but a very coarse control on the demand. Energy consumers are shielded from making price-aware decisions, which degrades the efficiency of the market. This state of affairs tends to favor fossil fuel generation over renewable sources. Because of the technological difficulties of storing electric energy, the quest for mechanisms that would make the demand for electricity controllable on a day-to-day basis is gaining prominence. The goal of this paper is to provide one such mechanisms, which we call Digital Direct Load Scheduling (DDLS). DDLS is a direct load control mechanism in which we unbundle individual requests for energy and digitize them so that they can be automatically scheduled in a cellular architecture. Specifically, rather than storing energy or interrupting the job of appliances, we choose to hold requests for energy in queues and optimize the service time of individual appliances belonging to a broad class whi...

  9. Rate-Harmonized Scheduling for Saving Energy Anthony Rowe Karthik Lakshmanan Haifeng Zhu Ragunathan (Raj) Rajkumar

    E-Print Network [OSTI]

    Rowe, Anthony

    Rate-Harmonized Scheduling for Saving Energy Anthony Rowe Karthik Lakshmanan Haifeng Zhu Ragunathan mode, substantially more energy savings can be obtained but it requires a significant amount of time such that processor idle times are lumped together. We next introduce the Energy-Saving Rate-Harmonized Scheduler

  10. Scheduling of oil-refinery operations Felipe Diaz-Alvarado2, Francisco Trespalacios1,

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    for the products. Product yields are specified for each crude. Minimum product yields for CDU. D-Slot Based Continuous-Time Formulation for Crude-Oil Scheduling Problems. Industrial & Engineering Chemistry Mouret, S. Optimal Scheduling of Refinery Crude-Oil Operations. Ph.D. Thesis. Department of Chemical

  11. Nested Column Generation applied to the Crude Oil Tanker Routing and Scheduling Problem with

    E-Print Network [OSTI]

    Lbbecke, Marco

    Nested Column Generation applied to the Crude Oil Tanker Routing and Scheduling Problem with Split, Germany March 7, 2012 Abstract The split pickup split delivery crude oil tanker routing and scheduling, because of the large expenses in crude oil shipping it is attractive to make use of optimization

  12. A CP Based Branching Tool for Breaking Symmetries in Crude-Oil Operations Scheduling

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    A CP Based Branching Tool for Breaking Symmetries in Crude-Oil Operations Scheduling Sylvain Mouret Goals Optimize the schedule of operations for the crude-oil unloading and blending problem using in the MINLP model Use CP inference techniques to improve performance 1 / 14 #12;Crude-oil operations

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

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    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 approaches and produces better solutions in reasonable times. Keywords: refinery planning, crude-oil

  14. A Novel Priority-Slot Based Continuous-Time Formulation for Crude-Oil Scheduling Problems

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    A Novel Priority-Slot Based Continuous-Time Formulation for Crude-Oil Scheduling Problems Sylvain, France E-mail: grossmann@cmu.edu October 2008 Abstract The optimal scheduling of crude-oil operations be used to solve the crude-oil operations problem introduced by Lee et al. 1 . It is different from

  15. Optimal Sleep-Wake Scheduling for Energy Harvesting Smart Mobile Devices

    E-Print Network [OSTI]

    Huang, Longbo

    harvesting technologies can likely be a remedy for the poor battery performance of the smart devicesOptimal Sleep-Wake Scheduling for Energy Harvesting Smart Mobile Devices Longbo Huang Institute develop optimal sleep/wake scheduling algorithms for smart mobile devices that are powered by finite

  16. The robust single machine scheduling problem with uncertain release and processing times

    E-Print Network [OSTI]

    Bierlaire, Michel

    of Architecture, Civil and Environmental Engineer- ing (ENAC), Ecole Polytechnique Fdrale de Lausanne (EPFL), CH Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, USA, alerera@isye.gatech.edu 1 #12 feasibility. A robust schedule is an a priori schedule which maintains high system performance in the presence

  17. Energy-Efficient Speed Scheduling for Real-Time Tasks under Thermal Constraints

    E-Print Network [OSTI]

    Wang, Shengquan

    Energy-Efficient Speed Scheduling for Real-Time Tasks under Thermal Constraints Shengquan Wang. We develop energy-efficient speed scheduling schemes for frame-based real-time tasks under thermal, Jian-Jia Chen, Zhenjun Shi, and Lothar Thiele Abstract Thermal constraints have limited

  18. Synthesis of Schedulers for Planned Shutdowns of Power Plants Carla P. Gomes

    E-Print Network [OSTI]

    Smith, Douglas R.

    Synthesis of Schedulers for Planned Shutdowns of Power Plants Carla P. Gomes Rome Laboratory describe the synthesis of efficient schedulers for planned shutdowns of power plants for refueling of power plants. 1 An outage is a planned shutdown for refueling, repair, and mainte nance. It is a rather

  19. Software Defect Data and Predictability for Testing Schedules Rattikorn Hewett & Aniruddha Kulkarni

    E-Print Network [OSTI]

    Stringfellow, Catherine V.

    Software Defect Data and Predictability for Testing Schedules Rattikorn Hewett & Aniruddha Kulkarni of resources. As software gets more complex, testing and fixing defects become difficult to schedule. This paper attempts to predict an estimated time for fixing software defects found during testing processes

  20. CPU Scheduling for Statistically-Assured Real-Time Performance and Improved Energy Efficiency

    E-Print Network [OSTI]

    Ravindran, Binoy

    CPU Scheduling for Statistically-Assured Real-Time Performance and Improved Energy Efficiency@mitre.org ABSTRACT We present a CPU scheduling algorithm, called Energy-efficient Utility Accrual Algorithm (or EUA/utility functions. For battery-powered embedded systems, system-level energy consumption is also a primary concern

  1. Personal Final Exam Schedule ISIS Web Delivery Access Instructions for Students

    E-Print Network [OSTI]

    Personal Final Exam Schedule ISIS Web Delivery Access Instructions for Students 1.) Go to ISIS (Iowa Student Information System) at http://isis.uiowa.edu 2.) Login using your HawkID and password 3 May). - Individual final exam schedules for students are accessible online through the ISIS using

  2. Frame-Scheduling for Input-Queued Switches with Energy Reconfiguration Costs

    E-Print Network [OSTI]

    Frame-Scheduling for Input-Queued Switches with Energy Reconfiguration Costs Andrea Bianco, Paolo problems, mainly due to thermal issues that require complex cooling systems and to increasing energy costs scheduler determines a switching fabric configuration to transfer packets. We consider the energy

  3. FIFO-Based Multicast Scheduling Algorithm for Virtual Output Queued Packet Switches

    E-Print Network [OSTI]

    Pan, Deng

    FIFO-Based Multicast Scheduling Algorithm for Virtual Output Queued Packet Switches Deng Pan/computing applications require high speed switching for multicast traffic at the switch/router level to save network bandwidth. However, existing queuing-based packet switches and scheduling algorithms cannot perform well

  4. A New Continuous-Time Scheduling Formulation for Continuous Plants under Variable Electricity Cost

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    usage. If electricity consumption exceeds this threshold, the plant incurs in stiff penalties, whereas1 A New Continuous-Time Scheduling Formulation for Continuous Plants under Variable Electricity the scheduling of continuous plants subject to energy constraints related to time-dependent electricity pricing

  5. Secure Distributed Solution for Optimal Energy Consumption Scheduling in Smart Grid

    E-Print Network [OSTI]

    Shehab, Mohamed

    periods. The peak value of electricity consumption data is extremely important for electric companiesSecure Distributed Solution for Optimal Energy Consumption Scheduling in Smart Grid Mohammad usage. The scheduling of the energy consumption is often formulated as a game- theoretic problem, where

  6. Reliable Downlink Scheduling for Wireless Networks with Real-Time and Non-Real Time Clients

    E-Print Network [OSTI]

    Jain, Abhishek

    2014-08-05

    In this thesis, we studied the problem of designing a down link scheduling policy to serve multiple types of clients from a base station in a time-varying wireless network. An ideal scheduling policy is fair among the clients, provides reliability...

  7. Finding the Efficient Frontier of a Bi-Criteria, Spatially-explicit, Harvest Scheduling Problem

    E-Print Network [OSTI]

    Brown, Sally

    Finding the Efficient Frontier of a Bi-Criteria, Spatially-explicit, Harvest Scheduling Problem frontier for a bi-criteria, spatially-explicit harvest scheduling problem. The problem is to find all resources than merely timber production. Increasingly, values such as wildlife habitat, recreation, water

  8. Change Management in Enterprise IT Systems: Process Modeling and Capacity-optimal Scheduling

    E-Print Network [OSTI]

    Sarkar, Saswati

    Change Management in Enterprise IT Systems: Process Modeling and Capacity-optimal Scheduling of the optimal fluid scheduling policy, which is well suited for application to a real change management system management ­ or handling of problem diagnosis and root cause analysis, and (ii) Change management ­ or timely

  9. December 4, 1995 / 1 ODO: A Constraint-based Scheduling Shell

    E-Print Network [OSTI]

    Fox, Mark S.

    December 4, 1995 / 1 ODO: A Constraint-based Scheduling Shell J. Christopher Beck Enterprise #12;December 4, 1995 / 2 Philosophy Create a tool for scheduling research Model and solve real, with parameters set at run-time #12;December 4, 1995 / 3 Constraint-based Reasoning Variables Domains

  10. GentleCool: Cooling Aware Proactive Workload Scheduling in Multi-Machine Systems

    E-Print Network [OSTI]

    Simunic, Tajana

    GentleCool: Cooling Aware Proactive Workload Scheduling in Multi-Machine Systems Raid Ayoub characteristics of the workload running on the system. We propose a scheduling framework called GentleCool, a proactive multi-tier approach for significantly lowering the fan cooling costs in highly utilized systems

  11. Distributed Load Demand Scheduling in Smart Grid to Minimize Electricity Generation Cost

    E-Print Network [OSTI]

    Pedram, Massoud

    Distributed Load Demand Scheduling in Smart Grid to Minimize Electricity Generation Cost Siyu Yue of electricity consumers is an effective way to alleviate the peak power demand on the elec- tricity grid- ple users cooperate to perform load demand scheduling in order to minimize the electricity generation

  12. Reducing Energy Costs for IBM Blue Gene/P via Power-Aware Job Scheduling

    E-Print Network [OSTI]

    Feitelson, Dror

    consuming 61.4 billion kWh per year [4], an amount of energy equivalent to that consumed by the entireReducing Energy Costs for IBM Blue Gene/P via Power-Aware Job Scheduling Zhou Zhou1 , Zhiling Lan1, with the goal of reducing energy cost and not degrading system utilization. We design scheduling strategies

  13. Complex Goal Criteria and Its Application in Design-to-Criteria Scheduling y

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Complex Goal Criteria and Its Application in Design-to-Criteria Scheduling y Thomas Wagner Computer for satis cing to best meet the criteria. In the context of the Design-to-Criteria task scheduling paradigm speci cation and corre- sponding evaluation mechanism are used throughout the Design-to-Criteria

  14. Design-to-Criteria Scheduling: Managing Complexity through Goal-Directed Satisficing y

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    Design-to-Criteria Scheduling: Managing Complexity through Goal-Directed Satisficing y Thomas-to- Criteria that controls the combinatorics via a satisficing methodology and custom designs schedules to meet a par- ticular client's goal criteria. In Design-to-Criteria, criteria- directed focusing, approximation

  15. Idaho National Engineering Laboratory Environmental Restoration Program Schedule Contingency Evaluation Report

    SciTech Connect (OSTI)

    Not Available

    1993-09-01

    This report represents the schedule contingency evaluation done on the FY-93 Major System Acquisition (MSA) Baseline for the Idaho National Engineering Laboratory`s (INEL) Environmental Restoration Program (EPP). A Schedule Contingency Evaluation Team (SCET) was established to evaluate schedule contingency on the MSA Baseline for the INEL ERP associated with completing work within milestones established in the baseline. Baseline schedules had been established considering enforceable deadlines contained in the Federal Facilities Agreement/Consent Order (FFA/CO), the agreement signed in 1992, by the State of Idaho, Department of Health & Welfare, the U.S. Environmental Protection Agency, Region 10, and the U.S. Department of Energy, Idaho Operations Office. The evaluation was based upon the application of standard schedule risk management techniques to the specific problems of the INEL ERP. The schedule contingency evaluation was designed to provided early visibility for potential schedule delays impacting enforceable deadlines. The focus of the analysis was on the duration of time needed to accomplish all required activities to achieve completion of the milestones in the baseline corresponding to the enforceable deadlines. Additionally, the analysis was designed to identify control of high-probability, high-impact schedule risk factors.

  16. E cient Algorithms for Scheduling Data Broadcast Sohail Hameed Nitin H. Vaidya

    E-Print Network [OSTI]

    Vaidya, Nitin

    E cient Algorithms for Scheduling Data Broadcast Sohail Hameed Nitin H. Vaidya Abstract a log-time algorithm for scheduling broadcast, derived from an existing fair queueing algorithm algorithms. Modi cation of this algorithm for transmissions that are subject to errors is con- sidered. Also

  17. Mechanism design for fractional scheduling on unrelated George Christodoulou + Elias Koutsoupias # Annamaria Kovacs #

    E-Print Network [OSTI]

    Koutsoupias, Elias

    Mechanism design for fractional scheduling on unrelated machines # George Christodoulou + Elias and randomized approximation algorithms. The mechanism design version of the scheduling problem was introduced by Nisan and Ronen [23]. In this paper 1 , we consider the mechanism design version of the fractional

  18. Truthful Mechanism Design for Multi-Dimensional Scheduling via Cycle Monotonicity

    E-Print Network [OSTI]

    Truthful Mechanism Design for Multi-Dimensional Scheduling via Cycle Monotonicity Ron Lavi mechanism design, where the machines are the strategic players. This is a multidimensional scheduling domain monotonicity has been used extensively and successfully to design truthful mechanisms in single- dimensional

  19. A Periodic Portfolio Scheduler for Scientific Computing in the Data Center

    E-Print Network [OSTI]

    Feitelson, Dror

    A Periodic Portfolio Scheduler for Scientific Computing in the Data Center Kefeng Deng1,2 , Ruben.S.Verboon@student.tudelft.nl, A.Iosup@tudelft.nl Abstract. The popularity of data centers in scientific computing has led to new of efficient scheduling algorithms for the data center is an increasingly costlier and more difficult challenge

  20. REGISTRATION HANDBOOK AND ScHEDULE oF CouRsEs

    E-Print Network [OSTI]

    Mojzsis, Stephen J.

    REGISTRATION HANDBOOK AND ScHEDULE oF CouRsEs +; SPRING 1992 BOULDEROFFICE OF THE REGISTRAR #12;T his revised and expanded Registration Handbook andSchedule ofCourses contains all the informa- tion or procedures change at the last minu~e; will you, receive further information. Pl~e keep this handbook with you

  1. Coordinated Workload Scheduling in Hierarchical Sensor Networks for Data Fusion Applications

    E-Print Network [OSTI]

    Li, Xiaolin "Andy"

    Coordinated Workload Scheduling in Hierarchical Sensor Networks for Data Fusion Applications data measured by source nodes are collected at the fusion node, in-network data aggregation is further among all fusion nodes. Closed-form solutions to the problem of task scheduling are derived. Finally, nu

  2. IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 53, NO. 8, AUGUST 2005 1333 Energy-Efficient Scheduling for

    E-Print Network [OSTI]

    Giannakis, Georgios

    --We consider the problem of minimizing the energy needed for data fusion in a sensor network by varyingIEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 53, NO. 8, AUGUST 2005 1333 Energy-Efficient Scheduling- optimal energy efficiency. To eliminate the communication over- head required by centralized scheduling

  3. Genetic Algorithm based Data-aware Group Scheduling for Big Data Clouds Raghavendra Kune1

    E-Print Network [OSTI]

    Buyya, Rajkumar

    Genetic Algorithm based Data-aware Group Scheduling for Big Data Clouds Raghavendra Kune1 , Pramod on demand. Big Data Clouds is a new generation data analytics platform using Cloud computing as a back end and empirical tools. MapReduce scheduling models for Big Data computing operate in the cluster mode, where

  4. INTERVIEW SCHEDULE: MITZI MONTOYA Candidate for Sara Hart Kimball Dean of Business; Updated 6 2 2015

    E-Print Network [OSTI]

    INTERVIEW SCHEDULE: MITZI MONTOYA Candidate for Sara Hart Kimball Dean of Business; Updated 6 2 450 Ilene Kleinsorge Sara Hart Kimball Dean of Business 1045 am Bryan escort Mitzi to HRC 1100 am 245 pm Gigi escort Mitzi to Austin #12;INTERVIEW SCHEDULE: MITZI MONTOYA Candidate for Sara Hart

  5. INTERVIEW SCHEDULE: PAUL SIMKO Candidate for Sara Hart Kimball Dean of Business; Updated 6 5 2015

    E-Print Network [OSTI]

    INTERVIEW SCHEDULE: PAUL SIMKO Candidate for Sara Hart Kimball Dean of Business; Updated 6 5 2015 Ilene Kleinsorge Sara Hart Kimball Dean of Business 215 pm Bryan escort Paul to 442 #12;INTERVIEW SCHEDULE: PAUL SIMKO Candidate for Sara Hart Kimball Dean of Business; Updated 6 5 2015 230 300 pm Austin

  6. END-TO-END SCHEDULING TO MEET DEADLINES IN DISTRIBUTED SYSTEMS

    E-Print Network [OSTI]

    Bettati, Riccardo

    protocols and end-to-end scheduling. Finally, we show that by using end-to-end scheduling we can simplify resource access protocols and thus increase the utilization of resources. iii #12;To my parents, Aldo the years. Sam has always had a tender hart for starving graduate students. Let me acknowledge Hoichi Cheong

  7. Energy-aware Workflow Scheduling Using Frequency Scaling Ilia Pietri, Rizos Sakellariou

    E-Print Network [OSTI]

    Sakellariou, Rizos

    when overall energy consumption can be decreased. Synthetic data based on parameters of real scientific overall energy consumption. Keywords-energy-aware scheduling; frequency scaling; DVFS; DAG scheduling to a respective voltage level [3]. Lowering the frequency may lead to decreased energy consumption

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

    E-Print Network [OSTI]

    Appelrath, Hans-Jrgen

    and control (PPC) systems to plan and carry out the manufacturing of products on the available resources-based systems, fuzzy systems 1 Introduction Scheduling integrates different tasks of production planning management, job release, and production control of PPC. In most cases scheduling problems are addressed

  9. Multilevel Lot-Sizing Heuristics and Freezing the Master Production Schedule in Material Requirements Planning Systems

    E-Print Network [OSTI]

    Xie, Jinxing

    March 5, 1997 Revised October 1997 To be published in Production Planning and Control,Vol.9, No.4, 1998 Requirements Planning Systems (Subject Areas: Material Requirements Planning, Master Production Scheduling, Lot Planning, Master Production Scheduling, Lot-Sizing, Simulation) #12;Multilevel Lot-Sizing Heuristics

  10. A Survey of Energy-Efficient Scheduling Mechanisms in Sensor Networks

    E-Print Network [OSTI]

    Wang, Lan

    A Survey of Energy-Efficient Scheduling Mechanisms in Sensor Networks Lan Wang and Yang Xiao, these energy-efficient scheduling mech- anisms (also called topology configuration mechanisms) need to satisfy certain application requirements while saving energy. In this paper, we provide a survey on energy-efficient

  11. Innovative Applications of O.R. Scheduling electric power production at a wind farm

    E-Print Network [OSTI]

    Kusiak, Andrew

    computations Wind farm Particle swarm optimization Small world network a b s t r a c t We present a model for scheduling power generation at a wind farm, and introduce a particle swarm optimization algorithm) and therefore could be incorporated into an optimization model to assist opera- tors in scheduling wind turbines

  12. A Multi-Agent Simulation System for Prediction and Scheduling of Aero Engine Overhaul

    E-Print Network [OSTI]

    Roberts, Stephen

    A Multi-Agent Simulation System for Prediction and Scheduling of Aero Engine Overhaul Armin Southampton SO17 1BJ, UK. {acr, pv}@ecs.soton.ac.uk ABSTRACT The Aero Repair and Overhaul industry is facing Experimentation Keywords Scheduling, negotiation, risk estimation, simulation, aero re- pair and overhaul, multi

  13. Enhancing Security of Real-Time Applications on Grids through Dynamic Scheduling

    E-Print Network [OSTI]

    Feitelson, Dror

    Enhancing Security of Real-Time Applications on Grids through Dynamic Scheduling Tao Xie Xiao Qin on Grids require security protections to completely fulfill their security-critical needs. Unfortunately to seamlessly integrate security into real-time scheduling for applications running on Grids. In this paper we

  14. An Energy-Efficient Scheduling Algorithm Using Dynamic Voltage Scaling for Parallel Applications on Clusters

    E-Print Network [OSTI]

    Qin, Xiao

    1 An Energy-Efficient Scheduling Algorithm Using Dynamic Voltage Scaling for Parallel Applications clusters. In this paper, we propose an energy-efficient scheduling algorithm (TDVAS) using the dynamic in clusters is to make use of cutting- edge energy-efficient processors. This is because processors

  15. Design Professional-Schedule of Project Details Page 1 of 5 Form Date: AE January 2010

    E-Print Network [OSTI]

    Kamat, Vineet R.

    Professional-Schedule of Project Details Page 2 of 5 Form Date: AE January 2010 The Basic Lump Sum Fee includes in the Basic Fee are as follows: Firm Name Type of Architect/Engineer Additional Fee The following additional Professional-Schedule of Project Details Page 1 of 5 Form Date: AE January 2010 Note: Instructions

  16. An Evaluation of Economy-based Resource Trading and Scheduling on Computational Power Grids for

    E-Print Network [OSTI]

    Melbourne, University of

    1 An Evaluation of Economy-based Resource Trading and Scheduling on Computational Power Grids, Computational Economy, Resource Trading, Nimrod/G Resource Broker, Scheduling, and Parameter Sweep Applications, resource allocation or co-allocation, online control, scalability, transparency, and "economy

  17. An Economy-based Algorithm for Scheduling Data-Intensive Applications on Global Grids

    E-Print Network [OSTI]

    Buyya, Rajkumar

    An Economy-based Algorithm for Scheduling Data-Intensive Applications on Global Grids Srikumar suggested a computational economy metaphor for resource management within compute and data grids. However, the issue of scheduling jobs that require distributed data within an economy-based data grid has not been

  18. A Rule-Based Quasi-Static Scheduling Approach for Static Islands in Dynamic Dataflow Graphs

    E-Print Network [OSTI]

    Teich, Jürgen

    A A Rule-Based Quasi-Static Scheduling Approach for Static Islands in Dynamic Dataflow Graphs-Nuremberg In this article, an efficient rule-based clustering algorithm for static dataflow subgraphs in a dynamic dataflow graph is presented. The clustered static dataflow actors are quasi-statically scheduled, in such a way

  19. Group Ratio Round-Robin: O(1) Proportional Share Scheduling for Uniprocessor and Multiprocessor Systems

    E-Print Network [OSTI]

    Group Ratio Round-Robin: O(1) Proportional Share Scheduling for Uniprocessor and Multiprocessor of Computer Science Columbia University Technical Report CUCS-028-04 July 2004Abstract Proportional share. We present Group Ratio Round-Robin (GR3 ), the first proportional share scheduler that combines accu

  20. On Coordinating Electricity Markets: Smart Power Scheduling for Demand Side Management and Economic Dispatch

    E-Print Network [OSTI]

    Chen, Yiling

    On Coordinating Electricity Markets: Smart Power Scheduling for Demand Side Management and Economic;On Coordinating Electricity Markets: Smart Power Scheduling for Demand Side Management and Economic Dispatch Abstract Information asymmetry in retail electricity markets is one of the largest sources of inef

  1. Energy-aware Workflow Scheduling Using Frequency Scaling Ilia Pietri, Rizos Sakellariou

    E-Print Network [OSTI]

    Sakellariou, Rizos

    Energy-aware Workflow Scheduling Using Frequency Scaling Ilia Pietri, Rizos Sakellariou School in modern computing systems. This may lead to higher energy savings for large-scale computational problems. In this paper, we propose a scheduling algorithm that adopts frequency scaling to reduce overall energy

  2. Aalborg Universitet Optimal Scheduling and Control of a Multi-Pump Boosting System

    E-Print Network [OSTI]

    Yang, Zhenyu

    . INTRODUCTION Pumps have been widely used in our daily life and work, such as for irrigation, water supply, airAalborg Universitet Optimal Scheduling and Control of a Multi-Pump Boosting System Yang, Zhenyu version (APA): Yang, Z., & Brsting, H. (2010). Optimal Scheduling and Control of a Multi-Pump Boosting

  3. Constraint-based Maintenance Scheduling on an Electric Power-Distribution Network

    E-Print Network [OSTI]

    Ros, Llus

    Constraint-based Maintenance Scheduling on an Electric Power-Distribution Network Tom Creemers1-distribution network involves the scheduling of multiple maintenance and unforeseen repair tasks. The main resource, energy losses, and the cost of the necessary switching operations. In case tasks are carried out

  4. Leakage-Aware Scheduling for Embedded Real-Time Systems with (m,k)-Constraints

    E-Print Network [OSTI]

    Quan, Gang

    their deadlines. Two energy efficient scheduling approaches incorporating both dynamic voltage scheduling (DVS, our proposed techniques outperformed previous research in both overall and idle energy reduction while Introduction As transistor density continues to grow, the power/energy conservation problem becomes more

  5. Leakage-Aware Scheduling for Real-Time Systems with (m,k)-Constraints

    E-Print Network [OSTI]

    Quan, Gang

    efficient scheduling approaches incorporating both dynamic voltage scheduling (DVS) and dynamic power down outperformed previous research in both overall and idle energy reduction while providing the (m,k)-guarantee. I. INTRODUCTION As transistor density continues to grow, the power/energy conservation problem becomes more

  6. Aalborg Universitet Voltage Scheduling Droop Control for State-of-Charge Balance of Distributed Energy

    E-Print Network [OSTI]

    Vasquez, Juan Carlos

    ., & Guerrero, J. M. (2014). Voltage Scheduling Droop Control for State-of-Charge Balance of Distributed Energy-of-Charge Balance of Distributed Energy Storage in DC Microgrids," in Proc. IEEE International Energy Conference (EnergyCon'14), 2014. Voltage Scheduling Droop Control for State-of- Charge Balance of Distributed Energy

  7. GAIN-SCHEDULED PID FOR IMBALANCE COMPENSATION OF A MAGNETIC BEARING

    E-Print Network [OSTI]

    Noll, Dominikus

    GAIN-SCHEDULED PID FOR IMBALANCE COMPENSATION OF A MAGNETIC BEARING Laleh Hosseini@yahoo.fr, noll@mip.ups-tlse.fr Keywords: Scheduled controller for magnetic bearing, H optimal decentralized PID of a magnetic bearing device is addressed by parameter varying control. Within the structure of decen- tralized

  8. Gain-scheduling control of port-fuel-injection processes Andrew White a

    E-Print Network [OSTI]

    Choi, Jongeun

    of gasoline PFI and ethanol DI dual-fuel system to substantially increase gasoline engine efficiencyGain-scheduling control of port-fuel-injection processes Andrew White a , Jongeun Choi a,b,, Ryozo: Engine control Port fuel injection Gain-scheduling control Linear parameter varying system LMI

  9. Utilizing Green Energy Prediction to Adapt to Energy Supply Variability when Scheduling Mixed

    E-Print Network [OSTI]

    Simunic, Tajana

    v v Utilizing Green Energy Prediction to Adapt to Energy Supply Variability when Scheduling Mixed green energy to schedule more batch jobs MapReduce jobs are good as 92% finish within 30min Terminate MR task when green energy supply drops Guarantee service jobs meet their performance constraints

  10. Gain-scheduled `1 -optimal control for boiler-turbine dynamics

    E-Print Network [OSTI]

    Shamma, Jeff S.

    Gain-scheduled `1 -optimal control for boiler-turbine dynamics with actuator saturation Pang; accepted 2 June 2003 Abstract This paper presents a gain-scheduled approach for boiler-turbine controller the magnitude and rate saturation constraints on actuators. The nonlinear boiler-turbine dynamics is brought

  11. Energy and CO2 efficient scheduling of smart appliances in active houses equipped with batteries

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    Energy and CO2 efficient scheduling of smart appliances in active houses equipped with batteries the electricity bill and the CO2 emissions. Mathematically, the scheduling problem is posed as a multi that the new formulation can decrease both the CO2 emissions and the electricity bill. Furthermore, a survey

  12. International Journal of Parallel Programming submission February 3, 1997 Analyzing Asynchronous Pipeline Schedules

    E-Print Network [OSTI]

    Ferrante, Jeanne

    Pipeline Schedules Val Donaldson and Jeanne Ferrante Computer Science and Engineering Department University pipelining is a form of parallelism which may be used in distributed memory systems. An asynchronous pipeline of a pipeline schedule is needed to determine if pipelining is appropriate for a loop, and to compare

  13. GS Yuasa Corp | Open Energy Information

    Open Energy Info (EERE)

    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 QA:QAsource History View New PagesSustainable Urban TransportFortistarFuelCellsEtcSiliconGRR (Redirected fromCorp Jump

  14. GS Yuasa Mitsubishi JV | Open Energy Information

    Open Energy Info (EERE)

    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 QA:QAsource History View New PagesSustainable Urban TransportFortistarFuelCellsEtcSiliconGRR (Redirected fromCorp

  15. GS Global Biodiesel JV | Open Energy Information

    Open Energy Info (EERE)

    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 QA:QA J-E-1 SECTION J APPENDIX E LISTStar2-0057-EA Jump to:ofEnia SpAFlexStock Co LtdWiegandGEXAUmweltGREETGRR

  16. GS Carbon Corporation | Open Energy Information

    Open Energy Info (EERE)

    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 QA:QA J-E-1 SECTION J APPENDIX ECoopButtePowerEdistoWhiskeyFootprintGEXA Corp. (Delaware) Jump to:GISGRR Workshop

  17. Multiple Timescale Dispatch and Scheduling for Stochastic Reliability in Smart Grids with Wind Generation Integration

    E-Print Network [OSTI]

    He, Miao; Zhang, Junshan

    2010-01-01

    Integrating volatile renewable energy resources into the bulk power grid is challenging, due to the reliability requirement that at each instant the load and generation in the system remain balanced. In this study, we tackle this challenge for smart grid with integrated wind generation, by leveraging multi-timescale dispatch and scheduling. Specifically, we consider smart grids with two classes of energy users - traditional energy users and opportunistic energy users (e.g., smart meters or smart appliances), and investigate pricing and dispatch at two timescales, via day-ahead scheduling and realtime scheduling. In day-ahead scheduling, with the statistical information on wind generation and energy demands, we characterize the optimal procurement of the energy supply and the day-ahead retail price for the traditional energy users; in realtime scheduling, with the realization of wind generation and the load of traditional energy users, we optimize real-time prices to manage the opportunistic energy users so as...

  18. General Service LED Lamps

    Broader source: Energy.gov [DOE]

    A U.S. DOE SSL technology fact sheet that compares general service LED light bulbs with incandescent and CFL bulbs.

  19. Generalizations of quantum statistics

    E-Print Network [OSTI]

    O. W. Greenberg

    2008-05-02

    We review generalizations of quantum statistics, including parabose, parafermi, and quon statistics, but not including anyon statistics, which is special to two dimensions.

  20. A hybrid Lagrangean metaheuristic for single machine scheduling ...

    E-Print Network [OSTI]

    2014-08-08

    Aug 8, 2014 ... our knowledge, the proposed methodology presents generally ...... telligence and knowledge engineering applications: a bioinspired approach.