Sample records for form eia-6 schedule

  1. Schedules

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

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

  2. Schedules

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

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

  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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administrationcontroller systems controller systemsisSchedules Schedules Print Monday, 31 August

  4. Schedules

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

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

  5. University of Pittsburgh Test Center Registration Form Exams are by appointment only. Test center hours vary. Please call 412-624-6134 to schedule. Valid ID must

    E-Print Network [OSTI]

    Sibille, Etienne

    University of Pittsburgh Test Center Registration Form Exams are by appointment only. Test center hours vary. Please call 412-624-6134 to schedule. Valid ID must be presented at the time of the exam. Mail completed form and Test Center fee to address below. Once payment is received you

  6. The Schedule

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

    1997-03-28T23:59:59.000Z

    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.

  7. 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...

  8. ADMINISTRATIVE RECORDS SCHEDULE 23: ADMINISTRATIVE RECORDS SCHEDULE...

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

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

  9. Forms

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityFieldMinds" Give Forms (All forms are in .pdf

  10. Transportation Baseline Schedule

    SciTech Connect (OSTI)

    Fawcett, Ricky Lee; John, Mark Earl

    2000-01-01T23:59:59.000Z

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

  11. Implementing Lottery Scheduling: Matching the Specializations in Traditional Schedulers

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

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

  13. March 29, 2008 OS:CPU Scheduling 1 CPU Scheduling

    E-Print Network [OSTI]

    Adam, Salah

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

  14. PARS II Training Schedule | Department of Energy

    Office of Environmental Management (EM)

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

  15. Dedicated heterogeneous node scheduling including backfill scheduling

    DOE Patents [OSTI]

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

    2006-07-25T23:59:59.000Z

    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.

  16. Reviewing your schedule in Banner

    E-Print Network [OSTI]

    skorty

    2008-07-28T23:59:59.000Z

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

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

    Office of Environmental Management (EM)

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

  18. 2012 Transmission Rate Schedules

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

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

  19. Symmetry in Scheduling Problems

    E-Print Network [OSTI]

    2010-11-16T23:59:59.000Z

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

  20. Implementing Lottery Scheduling: Matching the Specializations Traditional Schedulers

    E-Print Network [OSTI]

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

  1. Pushing schedule derivation method

    SciTech Connect (OSTI)

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

    1996-12-31T23:59:59.000Z

    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.

  2. Scheduled System Outages

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

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

  3. Project Scheduling (3) Corequisite

    E-Print Network [OSTI]

    Barrash, Warren

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

  4. Project Scheduling (3) Corequisite

    E-Print Network [OSTI]

    Barrash, Warren

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

  5. TOWARDS UNIFYING DATABASE SCHEDULING AND

    E-Print Network [OSTI]

    Rhode Island, University of

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

  6. Optimal Power Schedule for Distributed MIMO Links

    E-Print Network [OSTI]

    Rong, Yue; Hua, Yingbo

    2008-01-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

    Polychronopoulos, Constantine D.

    1986-08-01T23:59:59.000Z

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

  8. 2007 Wholesale Power Rate Schedules : 2007 General Rate Schedule Provisions.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2006-11-01T23:59:59.000Z

    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.

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

    Office of Environmental Management (EM)

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

  10. Chemotherapy Operations Planning and Scheduling

    E-Print Network [OSTI]

    2010-02-13T23:59:59.000Z

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

  11. Schedule - 88-Inch Cyclotron

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

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

  12. Robust optimization of dose schedules in radiotherapy

    E-Print Network [OSTI]

    Badri, Hamidreza; Leder, Kevin

    2015-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Pappas, George J.

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

  14. 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

  15. ADMINISTRATIVE RECORDS SCHEDULE 9: TRAVEL AND TRANSPORTATION...

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

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

  16. Appendix B Forms Note: Current versions of these forms (downloadable) are available on-line at

    E-Print Network [OSTI]

    : [www.energy.ca.gov/renewables/documents/index.html#rps] Some of these forms are new or have been Program regulations. Schedule 1: Renewables and the Attestation are provided in this version Aggregate and Schedule 5: SB 1 Solar Program Status Report, are not directly applicable to the RPS program

  17. Optimal Preventive Maintenance Scheduling in Semiconductor Manufacturing

    E-Print Network [OSTI]

    Marcus, Steven I.

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

  18. Provably Efficient Two-Level Adaptive Scheduling

    E-Print Network [OSTI]

    Feitelson, Dror

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

  19. Wireless Link Scheduling under Physical Interference Model

    E-Print Network [OSTI]

    Jia, Xiaohua

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

  20. 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

  1. On-line Service Scheduling?

    E-Print Network [OSTI]

    2008-04-18T23:59:59.000Z

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

  2. Integrated production and maintenance scheduling

    E-Print Network [OSTI]

    Whitaker, Laura Oakes

    1996-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Yorke-Smith, Neil

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

  4. Multi-agent Cluster Scheduling for Scalability and Flexibility

    E-Print Network [OSTI]

    Konwinski, Andrew David

    2012-01-01T23:59:59.000Z

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

  5. Adaptive Scheduling in Ad Hoc and Cellular Wireless Networks

    E-Print Network [OSTI]

    Tan, Choo Chin

    2013-01-01T23:59:59.000Z

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

  6. A Hybrid Bin-Packing Heuristic to Multiprocessor Scheduling

    E-Print Network [OSTI]

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

  7. Scheduling a Metacomputer With Uncooperative Sub-schedulers ?

    E-Print Network [OSTI]

    Feitelson, Dror

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

  8. Distributed scheduling for efficient HVAC precooling operations

    E-Print Network [OSTI]

    Yang, Su

    2014-01-01T23:59:59.000Z

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

  9. Human aspects of scheduling : a case study

    E-Print Network [OSTI]

    Boasson, Yishai, 1973-

    2006-01-01T23:59:59.000Z

    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, ...

  10. Scheduling with Fixed Maintenance, Shared Resources and ...

    E-Print Network [OSTI]

    2015-02-07T23:59:59.000Z

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

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

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

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

  12. Proposal Submittal and Scheduling Procedures for Macromolecular...

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

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

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

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

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

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

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

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

  15. 1 of 2 Scheduling-Guidelines.docx Statler College Scheduling Guidelines

    E-Print Network [OSTI]

    Mohaghegh, Shahab

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

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

    E-Print Network [OSTI]

    Nourani, Mehrdad

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

  17. Optimization of Injection Scheduling in

    E-Print Network [OSTI]

    Stanford University

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

  18. Batch Scheduling with Deadlines on Parallel Machines

    E-Print Network [OSTI]

    Magdeburg, Universität

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

  19. DYNAMIC SCHEDULING M. C. H. Wright

    E-Print Network [OSTI]

    Militzer, Burkhard

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

  20. CPU Inheritance Scheduling Bryan Ford Sai Susarla

    E-Print Network [OSTI]

    Ford, Bryan

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

  1. CPU Inheritance Scheduling Bryan Ford Sai Susarla

    E-Print Network [OSTI]

    Ford, Bryan

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

  2. Models for Train Scheduling Krishna C. Jha

    E-Print Network [OSTI]

    Bustamante, Fabi√°n E.

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

  3. Flow shop scheduling with peak power consumption constraints

    E-Print Network [OSTI]

    K. Fang

    2012-03-29T23:59:59.000Z

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

  4. Superplastic forming using NIKE3D

    SciTech Connect (OSTI)

    Puso, M.

    1996-12-04T23:59:59.000Z

    The superplastic forming process requires careful control of strain rates in order to avoid strain localizations. A load scheduler was developed and implemented into the nonlinear finite element code NIKE3D to provide strain rate control during forming simulation and process schedule output. Often the sheets being formed in SPF are very thin such that less expensive membrane elements can be used as opposed to shell elements. A large strain membrane element was implemented into NIKE3D to assist in SPF process modeling.

  5. Machine scheduling using the Bees algorithm.

    E-Print Network [OSTI]

    Phrueksanant, Janyarat

    2013-01-01T23:59:59.000Z

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

  6. Construction project scheduling problem with uncertain resource ...

    E-Print Network [OSTI]

    2004-06-01T23:59:59.000Z

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

  7. Statler College Scheduling Guidelines General Procedures

    E-Print Network [OSTI]

    Mohaghegh, Shahab

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

  8. 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...

  9. Single machine stochastic appointment sequencing and scheduling

    E-Print Network [OSTI]

    Administrator

    2010-10-22T23:59:59.000Z

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

  10. The Schedule - DOE Directives, Delegations, and Requirements

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

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

  11. ADMINISTRATIVE RECORDS SCHEDULE 4: PROPERTY DISPOSAL RECORDS...

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

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

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

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

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

  13. Scheduling Workover Rigs for Onshore Oil Production

    E-Print Network [OSTI]

    2003-06-23T23:59:59.000Z

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

  14. Scheduling with Fixed Maintenance, Shared Resources and ...

    E-Print Network [OSTI]

    Christina N Burt

    2014-11-30T23:59:59.000Z

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

  15. Robustness in Combinatorial Optimization and Scheduling Theory ...

    E-Print Network [OSTI]

    2006-09-26T23:59:59.000Z

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

  16. An Optimal General Purpose Scheduler for Networked Control Systems

    E-Print Network [OSTI]

    Sun, Dengfeng

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

  17. Schedule

    E-Print Network [OSTI]

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

  18. Schedule

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

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

  19. Schedule optimization study implementation plan

    SciTech Connect (OSTI)

    Not Available

    1993-11-01T23:59:59.000Z

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

  20. Environmental surveillance master sampling schedule

    SciTech Connect (OSTI)

    Bisping, L.E.

    1994-02-01T23:59:59.000Z

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

  1. 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

  2. Energy Efficiency Exchange 2015 Schedule | Department of Energy

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

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

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

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

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

  4. Scheduling on the MasPar SIMD parallel computer

    E-Print Network [OSTI]

    Perkins, Keith Douglas

    1995-01-01T23:59:59.000Z

    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...

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

    E-Print Network [OSTI]

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

  6. Enhancing feedback process scheduling via a predictive control approach

    E-Print Network [OSTI]

    Como, Giacomo

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

  7. PROJECT SCHEDULING: IMPROVED APPROACH TO INCORPORATE

    E-Print Network [OSTI]

    Neil, Martin

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

  8. 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

  9. Electrical Engineering Technology (EET) LONG RANGE SCHEDULE

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

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

    2010-01-01T23:59:59.000Z

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

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

    Energy Savers [EERE]

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

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

    Office of Environmental Management (EM)

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

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

    Energy Savers [EERE]

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

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

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

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

  15. Approximate resolution of a resource-constrained scheduling problem

    E-Print Network [OSTI]

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

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

    Energy Savers [EERE]

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

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

    E-Print Network [OSTI]

    2014-07-15T23:59:59.000Z

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

  18. Environmental surveillance master sampling schedule

    SciTech Connect (OSTI)

    Bisping, L E

    1992-01-01T23:59:59.000Z

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

  19. NRC comprehensive records disposition schedule. Revision 3

    SciTech Connect (OSTI)

    NONE

    1998-02-01T23:59:59.000Z

    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).

  20. Knowledge-Based Design of Scheduling Systems Jrgen Sauer

    E-Print Network [OSTI]

    Appelrath, Hans-J√ľrgen

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

  1. Survey of Gain-Scheduling Analysis & Design WE.Leithead

    E-Print Network [OSTI]

    Duffy, Ken

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

  2. Provably Efficient Adaptive Scheduling for Parallel Jobs

    E-Print Network [OSTI]

    He, Yuxiong

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

  3. Monitoring Building Systems for Schedule Compliance

    SciTech Connect (OSTI)

    Jensen, Andrew M.; Belew, Shan T.

    2013-02-19T23:59:59.000Z

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

  4. Production Scheduling with Energy Efficiency Constraints

    E-Print Network [OSTI]

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

    2007-01-01T23:59:59.000Z

    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...

  5. Underground Injection Control Fee Schedule (West Virginia)

    Broader source: Energy.gov [DOE]

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

  6. Online optimization in routing and scheduling

    E-Print Network [OSTI]

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

    2006-01-01T23:59:59.000Z

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

  7. Scheduling and synchronization for multicore concurrency platforms

    E-Print Network [OSTI]

    Agrawal, Kunal

    2009-01-01T23:59:59.000Z

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

  8. 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

  9. Hanford Site Environmental Surveillance Master Sampling Schedule

    SciTech Connect (OSTI)

    Bisping, Lynn E.

    2000-01-27T23:59:59.000Z

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

  10. Transportation resource scheduling in food retail industry

    E-Print Network [OSTI]

    Akkas, Arzum, 1978-

    2004-01-01T23:59:59.000Z

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

  11. Optimal Preemptive Semi-Online Scheduling to Minimize Makespan on Two Related Machines

    E-Print Network [OSTI]

    Epstein, Leah

    Optimal Preemptive Semi-Online Scheduling to Minimize Makespan on Two Related Machines Leah Epstein uni- formly related machines. We analyze the algorithms as a function of the speed ratio (q #21; 1) between the two machines. We design algorithms of optimal competitive ratio for all values of q, and show

  12. REU 2006: SCHEDULE FOR WEEKS THREE AND FOUR Morning talks (apprentice): Ryerson 251

    E-Print Network [OSTI]

    May, J. Peter

    REU 2006: SCHEDULE FOR WEEKS THREE AND FOUR Morning talks (apprentice): Ryerson 251* * | | | | | | Apprentice |Problems | Discrete | | * * | | | | | | Ryerson 251 |R251/E in summary form: THIRD WEEK: YSP: 9:30-2:30 WThF Abert/Babai (Apprentice): 9:30-12:00 WThF Abert

  13. Neuroscience Letters 384 (2005) 316320 Scheduling of sleep/darkness affects the circadian

    E-Print Network [OSTI]

    ; received in revised form 26 April 2005; accepted 29 April 2005 Abstract Shift work results adaptation to night shift work by facilitating appropriate phase shifts. In a simulated shift-work study, we that scheduled sleep/darkness can aid in adaptation to night shift work by inducing both advance and delay phase

  14. Advanced Reactors Transition Program Resource Loaded Schedule

    SciTech Connect (OSTI)

    BOWEN, W.W.

    1999-11-08T23:59:59.000Z

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

  15. Real Options for Project Schedules (ROPS)

    E-Print Network [OSTI]

    Ingber, Lester

    2007-01-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Brewer, Adam Thornton

    2012-08-31T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Cakoni, Fioralba

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

  18. Adaptive Scheduling Algorithms for Planet Searches

    E-Print Network [OSTI]

    Eric B. Ford

    2007-12-17T23:59:59.000Z

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

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

    E-Print Network [OSTI]

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

    2014-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Kai, Ma; Guoqiang, Hu; Spanos, Costas

    2013-01-01T23:59:59.000Z

    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

    2013-01-01T23:59:59.000Z

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

    E-Print Network [OSTI]

    Pesic, Vladimir N.

    2011-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Balman, Mehmet

    2012-01-01T23:59:59.000Z

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

  4. Space-Time Power Scheduling of MIMO LinksóFairness and QoS Considerations

    E-Print Network [OSTI]

    Rong, Yue; Hua, Yingbo

    2008-01-01T23:59:59.000Z

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

  5. Scheduling and allocation algorithm for an elliptic filter

    E-Print Network [OSTI]

    Marikkannan, Sangeetha

    2012-01-01T23:59:59.000Z

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

  6. The Long Term Schedule has been

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

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

  7. Optimization models for improving periodic maintenance schedules by utilizing opportunities

    E-Print Network [OSTI]

    Patriksson, Michael

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

  8. 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

  9. Department of Engineering Science REQUEST TO SCHEDULE DESIGN PROJECT PRESENTATION

    E-Print Network [OSTI]

    Ravikumar, B.

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

  10. Incremental temporal reasoning in job shop scheduling repair

    E-Print Network [OSTI]

    Huang, Y.

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

  11. Evaluating the robustness of crew schedules for rail transit systems

    E-Print Network [OSTI]

    Ravichandran, Harshavardhan

    2013-01-01T23:59:59.000Z

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

  12. Instruction scheduling optimizations for energy efficient VLIW processors†

    E-Print Network [OSTI]

    Porpodas, Vasileios

    2013-11-28T23:59:59.000Z

    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. ...

  13. Gain Scheduled Control Using the Dual Youla Parameterization

    E-Print Network [OSTI]

    Chang, Young Joon

    2011-08-08T23:59:59.000Z

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

  14. Airline fleet assignment and schedule design : integrated models and algorithms

    E-Print Network [OSTI]

    Lohatepanont, Manoj, 1974-

    2002-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Rasul Esmaeilbeigi

    2014-07-29T23:59:59.000Z

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

  16. Optimization of Logic Programs with Dynamic Scheduling

    E-Print Network [OSTI]

    Stuckey, Peter J.

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

  17. Measurement Scheduling for Soil Moisture Sensing

    E-Print Network [OSTI]

    Mahajan, Aditya

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

  18. ROBUSTNESS MEASURE FOR FUZZY MAINTENANCE ACTIVITIES SCHEDULE

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

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

  19. Dynamic Scheduling of Maintenance Activities Under Uncertainties

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

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

  20. SEMINAR SCHEDULE Friday, January 24, 2014

    E-Print Network [OSTI]

    Hayden, Nancy J.

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

  1. High Noon Lecture Series 2012 Fall Schedule

    E-Print Network [OSTI]

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

  2. PND TAD SchedulerSemantic Translation

    E-Print Network [OSTI]

    Sifakis, Joseph

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

  3. Energy Conscious Scheduling Johnatan E. Pecero

    E-Print Network [OSTI]

    Lefèvre, 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

  4. Advance Resource Provisioning in Bulk Data Scheduling

    SciTech Connect (OSTI)

    Balman, Mehmet

    2012-10-01T23:59:59.000Z

    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.

  5. Modeling Resources for Activity Coordination and Scheduling

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

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

  6. Modeling Resources for Activity Coordination and Scheduling

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

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

  7. 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

    2013-10-27T23:59:59.000Z

    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.

  8. A New I/O Scheduler for Solid State Devices

    E-Print Network [OSTI]

    Dunn, Marcus P.

    2010-10-12T23:59:59.000Z

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

  9. ON THE CONFIGURATION-LP FOR SCHEDULING ON UNRELATED MACHINES

    E-Print Network [OSTI]

    Nabben, Reinhard

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

  10. Opportunistic Scheduling for utility maximization under QoS constraints

    E-Print Network [OSTI]

    Bahk, Saewoong

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

  11. Scope for industrial applications of production scheduling models and

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

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

  12. 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

  13. Energy-aware scheduling under reliability and makespan constraints

    E-Print Network [OSTI]

    Paris-Sud XI, Universitť de

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

  14. Energy-aware scheduling: models and complexity results

    E-Print Network [OSTI]

    Paris-Sud XI, Universitť de

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

  15. PREEMPTIVE RESUME SCHEDULING Alain Roy and Miron Livny

    E-Print Network [OSTI]

    Roy, Alain

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

  16. Design and Evaluation of a Feedback Control EDF Scheduling Algorithm *

    E-Print Network [OSTI]

    Son, Sang H.

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

  17. Symbolic Scheduling Techniques 1 Ivan Radivojevi c, Forrest Brewer

    E-Print Network [OSTI]

    Brewer, Forrest D.

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

  18. Stochastic Sensor Scheduling for Networked Control Systems Farhad Farokhi

    E-Print Network [OSTI]

    Johansson, Karl Henrik

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

  19. Queueing-Theoretic Approaches for Dynamic Scheduling: Daria Terekhova

    E-Print Network [OSTI]

    Down, Doug

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

  20. Constraint-based Scheduling Markus P.J. Fromherz

    E-Print Network [OSTI]

    Fromherz, Markus P.J.

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

  1. The Control of Burstiness in Fair Queueing Scheduling Liat Ashkenazi

    E-Print Network [OSTI]

    Levy, Hanoch

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

  2. Design of Gain-Scheduled Strictly Positive Real Controllers

    E-Print Network [OSTI]

    Damaren, Christopher J.

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

  3. Energy Efficient Scheduling with Power Control for Wireless Networks

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

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

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

    E-Print Network [OSTI]

    Son, Sang H.

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

  5. Multichannel Scheduling and Its Connection to Queueing Network Control Problem

    E-Print Network [OSTI]

    Islam, M. Saif

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

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

    E-Print Network [OSTI]

    Fainekos, Georgios E.

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

  7. Scheduling and Feedback Co-Design for Networked Control Systems

    E-Print Network [OSTI]

    Branicky, Michael S.

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

  8. A Cooperative Approach for Job Shop Scheduling under Uncertainties

    E-Print Network [OSTI]

    Briand, Cyril

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

  9. A QUALITY CONTROL FRAMEWORK FOR BUS SCHEDULE RELIABILITY

    E-Print Network [OSTI]

    Illinois at Chicago, University of

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

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

    E-Print Network [OSTI]

    Son, Sang H.

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

  11. Form Approval:

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328 2,683DieselValues shown for the current8610) Form Approval:

  12. Form Approved

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328 2,683DieselValues shown for the current8610) FormApproved

  13. Service Forms

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

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

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

    E-Print Network [OSTI]

    Gilbert, Matthew

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

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

    E-Print Network [OSTI]

    Brennan, Sean

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

  16. Integrated test schedule for buried waste integrated demonstration

    SciTech Connect (OSTI)

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

    1992-05-01T23:59:59.000Z

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

  17. Integrated test schedule for buried waste integrated demonstration

    SciTech Connect (OSTI)

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

    1992-05-01T23:59:59.000Z

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

  18. REU 2014: SCHEDULE FOR WEEKS 5 AND 6 Morning classes will meet in Ryerson 251

    E-Print Network [OSTI]

    May, J. Peter

    or after 5:00; R276 and R277 are also reserved for the REU. FIFTH WEEK: Date Apprentice Geometry Alg. Top is the schedule in summary form: FIFTH WEEK: Laci Babai. Apprentice. 9:30­12:00 MWF Laci Babai and Sean Howe. Apprentice problem sessions 9:30­12:00 TTh Sebastian Hensel. Geometry. 3:00­4:00 MWF Peter May. Algebraic

  19. Urban tree maintenance scheduling: a case study using Fort Worth's METRIS geo data base

    E-Print Network [OSTI]

    Mirenda, Joseph Salvatore

    1981-01-01T23:59:59.000Z

    completed maintenance jobs was utilized to perform a series of statistical analyses and form linear regression equations which are capable of predicting or estimating labor hours required for each individual job. These estimates of labor hours... of the Problem. Objectives. LITERATURE REVIEW Urban Tree Information Systems. Impacts of Computerized Urban Tree Informa- tion Systems and Scheduling PROCEDURES. 10 Estimation or Prediction of Labor Hours Required for Each Management Need Data Input...

  20. Adaptable search neighborhoods for Resource Constrained Scheduling

    E-Print Network [OSTI]

    Balakrishnan, Ramamoorthy

    1993-01-01T23:59:59.000Z

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

  1. Hanford Site Environmental Surveillance Master Sampling Schedule

    SciTech Connect (OSTI)

    Bisping, Lynn E.

    2002-01-16T23:59:59.000Z

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

  2. Hanford Site Environmental Surveillance Master Sampling Schedule

    SciTech Connect (OSTI)

    LE Bisping

    2000-01-27T23:59:59.000Z

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

  3. REU 2009: SCHEDULE FOR WEEKS FIVE AND SIX Afternoon talks are in E206 or Kent 101

    E-Print Network [OSTI]

    May, J. Peter

    questions. Date YSP Babai Lawler Farb May May/Anno Babai Apprentice Probability Geometry Topology Algebra is the schedule in summary form: FIFTH WEEK: YSP 9:30­2:30 M-F Babai: Apprentice 9:30­12:00 M-F Lawler

  4. EXPLOITING STATICALLY SCHEDULABLE REGIONS IN DATAFLOW PROGRAMS Ruirui Gu, Jorn W. Janneck, Mickael Raulet, Shuvra S. Bhattacharyya

    E-Print Network [OSTI]

    Boyer, Edmond

    forms of dataflow modeling, Synchronous Dataflow (SDF) is geared towards static scheduling do not fully conform to the restrictions of SDF modeling. More general dataflow models, such as CAL provided by SDF. This paper focuses on detection of SDF-like regions in dynamic dataflow descriptions

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

    E-Print Network [OSTI]

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

  6. Royalty Payments & Tax Treaty Procedures Information and IRS forms for MIT Press authors

    E-Print Network [OSTI]

    Jackson, Daniel

    Royalty Payments & Tax Treaty Procedures Information and IRS forms for MIT Press authors Forms the forms. Royalty Payment Schedule Royalty statements and payments will be made for each royalty year will not be returned. Please see page 3 of the W-7 application for complete details. Tax Treaty Claim on Royalty

  7. Computer Generating Forms and Other Related Processing Procedures

    E-Print Network [OSTI]

    Computer Generating Forms and Other Related Processing Procedures for Students Graduate Assistants Executive /B # - BROWSE SELECTED BULLETIN TITLES BELOW. 1 - LSU Computer Access Policy Statement N2 2 - LSU Use of Computing Resources Policy N4 3 - LSU Computing Services Universal Schedule N1 The following

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

    E-Print Network [OSTI]

    Gaia Nicosia

    2014-01-24T23:59:59.000Z

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

  9. A hybrid Lagrangean metaheuristic for single machine scheduling ...

    E-Print Network [OSTI]

    Thiago Henrique Nogueira

    2014-08-08T23:59:59.000Z

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

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

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

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

  11. 15-Minute Scheduling Begins October 21st - October 16, 2014

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

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

  12. Flow Shop Scheduling with Peak Power Consumption Constraints

    E-Print Network [OSTI]

    2012-09-23T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Alireza Soroudi

    2013-12-29T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Anna Danandeh

    2011-08-17T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Alireza Soroudi

    2015-01-03T23:59:59.000Z

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

  16. Water pollution Control Permit Fee Schedules (West Virginia)

    Broader source: Energy.gov [DOE]

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

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

    National Nuclear Security Administration (NNSA)

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

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

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

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

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

    Energy Savers [EERE]

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

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

    E-Print Network [OSTI]

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

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

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

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

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

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

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

  3. Simulation Optimization for the Stochastic Economic Lot Scheduling ...

    E-Print Network [OSTI]

    2012-01-12T23:59:59.000Z

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

  4. Fast Approximations for Online Scheduling of Outpatient Procedure ...

    E-Print Network [OSTI]

    2014-06-18T23:59:59.000Z

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

  5. Scheduling co-operating stacking cranes with predetermined ...

    E-Print Network [OSTI]

    2011-11-19T23:59:59.000Z

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

  6. Oversight Scheduling and Operational Awareness at the Savannah...

    Office of Environmental Management (EM)

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

  7. FLEX TIME (ALTERNATIVE WORK SCHEDULE) REQUEST EMPLOYEE INFORMATION

    E-Print Network [OSTI]

    Dasgupta, Dipankar

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

  8. 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...

  9. High School Schedule | The Ames Laboratory

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

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

  10. Energy Exchange Schedule | Department of Energy

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

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

  11. Work Schedules | National Nuclear Security Administration

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

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

  12. 2007 Wholesale Power Rate Case Initial Proposal : 2007 Wholesale Power Rate Schedule and General Rate Schedule Provisions.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2005-11-01T23:59:59.000Z

    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.

  13. Hanford Site Environmental Surveillance Master Sampling Schedule

    SciTech Connect (OSTI)

    LE Bisping

    1999-02-12T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Stojmenovic, Ivan

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

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

    E-Print Network [OSTI]

    Fernandez, Emmanuel

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

  16. 2012-05-30 GAO-12-120G GAO schedule assessment guide - best practices...

    Energy Savers [EERE]

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

  17. Achieving Queue-Length Stability Through Maximal Scheduling in Wireless Networks

    E-Print Network [OSTI]

    Sarkar, Saswati

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

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

    E-Print Network [OSTI]

    Sharma, Vinod

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

  19. On Dynamic Scheduling of a Parallel Server System with Partial Pooling

    E-Print Network [OSTI]

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

  20. 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

  1. Optimal Maintenance Scheduling of a Gas Engine Power Plant

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

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

  2. Incentivizing Advanced Load Scheduling in Smart Homes , and David Irwin

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

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

  3. 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 at the front-end of a petroleum refinery. The model relies on a continuous time representation making use-412-268-7139. Email address: grossmann@cmu.edu (I.E. Grossmann) #12;2 Keywords: Refinery scheduling; Nonconvex MINLP

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

    E-Print Network [OSTI]

    Conte, Thomas M.

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

  5. Single Machine Scheduling with a Non-renewable Financial Resource

    E-Print Network [OSTI]

    Magdeburg, Universität

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

  6. Physics & Astronomy Open House Schedule UH Manoa Watanabe Hall

    E-Print Network [OSTI]

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

  7. 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

  8. Competitive Nonmigratory Scheduling for Flow Time and Energy

    E-Print Network [OSTI]

    Lam, Tak-Wah

    @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

  9. A Meeting Scheduling System Based on Open Constraint Programming

    E-Print Network [OSTI]

    Zhu, Kenny Q.

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

  10. Queue Prediction: an efficient scheduler for fast ATM cell transmission

    E-Print Network [OSTI]

    Fenwick, Peter

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

  11. Resource Minimized Static Mapping and Dynamic Scheduling of SDF Graphs

    E-Print Network [OSTI]

    Ha, Soonhoi

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

  12. GreenSlot: Scheduling Energy Consumption in Green Datacenters

    E-Print Network [OSTI]

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

  13. 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

  14. : A Testbed for Empirically Comparing Real-Time Multiprocessor Schedulers

    E-Print Network [OSTI]

    Anderson, James

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

  15. Polynomial Time Algorithms for Minimum Energy Scheduling Philippe Baptiste1

    E-Print Network [OSTI]

    Chrobak, Marek

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

  16. Optimizing Throughput and Energy in Online Deadline Scheduling

    E-Print Network [OSTI]

    Wong, Prudence W.H.

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

  17. Balancing Authority Cooperation Concepts - Intra-Hour Scheduling

    SciTech Connect (OSTI)

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

    2013-03-29T23:59:59.000Z

    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.

  18. HS663(b) Pre-purchase form for hazardous materials Version 4: 19/03/2013 Reference HS316: Purchasing Guidelines

    E-Print Network [OSTI]

    New South Wales, University of

    segregated storage area and if yes, is one available? Is a safe method available to transport the chemical guideline Is the chemical a Schedule 4 or Schedule 8 Drug. Some S4s and all S8s require additional: Purchasing Guidelines This form can be used to assist consider the risks of introducing new hazardous

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

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

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

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

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

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

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

    Energy Savers [EERE]

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

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

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

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

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

    E-Print Network [OSTI]

    Lipari, Giuseppe

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

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

    E-Print Network [OSTI]

    Wu, Jianjia

    2007-09-17T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Appelrath, Hans-J√ľrgen

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

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

    E-Print Network [OSTI]

    Johansson, Karl Henrik

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

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

    E-Print Network [OSTI]

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

  8. Evaluation of Design Choices for Gang Scheduling using Distributed Hierarchical Control

    E-Print Network [OSTI]

    Feitelson, Dror

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

  9. Thread Scheduling Mechanisms for Multiple-Context Parallel Processors

    E-Print Network [OSTI]

    Fiske, James A. Stuart

    1995-06-01T23:59:59.000Z

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

  10. 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

  11. Scheduling Smart Home Appliances Using Mixed Integer Linear Programming

    E-Print Network [OSTI]

    Johansson, Karl Henrik

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

  12. Optimal Preemptive Scheduling for General Target Functions Leah Epstein

    E-Print Network [OSTI]

    Beimel, Amos

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

  13. Dynamic Scheduling of Skippable Periodic Tasks: Issues and Proposals

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

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

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

    E-Print Network [OSTI]

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

    2013-01-01T23:59:59.000Z

    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 ...

  15. Time-Slotted Scheduling For Agile All-Photonic Networks

    E-Print Network [OSTI]

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

  16. Scheduling to minimize power consumption using submodular functions

    E-Print Network [OSTI]

    Zadimoghaddam, Morteza

    2010-01-01T23:59:59.000Z

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

  17. Analytic framework for TRL-based cost and schedule models

    E-Print Network [OSTI]

    El-Khoury, Bernard

    2012-01-01T23:59:59.000Z

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

  18. Figure 3. Production Schedules at Two Development Rates

    Gasoline and Diesel Fuel Update (EIA)

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

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

    Gasoline and Diesel Fuel Update (EIA)

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

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

    Gasoline and Diesel Fuel Update (EIA)

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

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

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

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

  2. A hybrid bin-packing heuristic to multiprocessor scheduling

    E-Print Network [OSTI]

    Adriana Alvim

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

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

    E-Print Network [OSTI]

    2013-08-19T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Rabie, Arwa H.

    2010-01-14T23:59:59.000Z

    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...

  5. Hanford Site Environmental Surveillance Master Sampling Schedule, January 2001

    SciTech Connect (OSTI)

    Bisping, Lynn E.

    2001-01-08T23:59:59.000Z

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

  6. Gain scheduling for geometrically nonlinear flexible space structures

    E-Print Network [OSTI]

    Yung, Jeremy Hoyt, 1971-

    2002-01-01T23:59:59.000Z

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

  7. Forensic Management Academy Spring 2011 Tentative Schedule Forensic Management Academy

    E-Print Network [OSTI]

    Mohaghegh, Shahab

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

  8. Polynomial Time Algorithms for Minimum Energy Scheduling

    E-Print Network [OSTI]

    Baptiste, Philippe; Durr, Christoph

    2009-01-01T23:59:59.000Z

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

  9. An algorithm for scheduling a large pumped storage plant

    SciTech Connect (OSTI)

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

    1985-08-01T23:59:59.000Z

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

  10. 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

    1998-01-01T23:59:59.000Z

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

  11. Scheduling Flexible Maintenance Activities subject to Job ...

    E-Print Network [OSTI]

    2010-04-14T23:59:59.000Z

    Apr 3, 2010 ... We consider a transition form state i to state j if and only if itransition costs ci,j are ...... Management Science, 15(1):102Ė109, 1968.

  12. Ancillary-service details: Dynamic scheduling

    SciTech Connect (OSTI)

    Hirst, E.; Kirby, B.

    1997-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Conte, Thomas M.

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

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

    E-Print Network [OSTI]

    Klein, Ophir

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

  15. ABATEMENT REQUEST FORM \\ \\ Drayton\\ Data\\ Graduate Office\\ Forms\\ F. Assistantship Forms\\ F.4 Abatement Request Form

    E-Print Network [OSTI]

    Kasman, Alex

    ABATEMENT REQUEST FORM (GSO-F4) Rev. 13-14 \\ \\ Drayton\\ Data\\ Graduate Office\\ Forms\\ F. Assistantship Forms\\ F.4 Abatement Request Form 1. CWID Degree or Certificate Program Residency Status 2. Last): Requested Enrollment Hours for Term: Note: The Abatement award is subject to the availability of funds

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

    E-Print Network [OSTI]

    Son, Sang H.

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

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

    SciTech Connect (OSTI)

    Nurre, Sarah G.; Carlson, Jeffrey J.

    2014-01-01T23:59:59.000Z

    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.

  18. 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

    2013-05-23T23:59:59.000Z

    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.

  19. 2012 Stuckeman School Career Days: March 16-17 Registration / RSVP Form

    E-Print Network [OSTI]

    Giles, C. Lee

    @engr.psu.edu 121 Stuckeman Family Building University Park PA 16802-1912 ! Yes, I will attend the Friday greater flexibility to schedule and is greatly appreciated. Due to demand, we reserve the right to limit, and Friday evening reception. (Please see other side for Information Form) #12;2012 Stuckeman School Career

  20. Schedules of Key Environmental Impact Statements | Department of Energy

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

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

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

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

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

  2. Scheduling-shutdown-2014-MEC v4 web.xlsx

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

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

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

    E-Print Network [OSTI]

    Boyer, Edmond

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

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

    E-Print Network [OSTI]

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

  5. Time, energy & form

    E-Print Network [OSTI]

    McInnis, Martha Jane

    1982-01-01T23:59:59.000Z

    Physical manifestations of time occur in natural forms of all sizes. Architectural form serves as shelter while providing a built envelope of human life, simultaneously influencing and influenced by energetic activities ...

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

    E-Print Network [OSTI]

    Miller-Karns, Kara A.

    2009-05-15T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

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

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

    SciTech Connect (OSTI)

    Chadwick, K.

    1988-05-20T23:59:59.000Z

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

  9. Cooperative Multitasking for Heterogeneous Accelerators in the Linux Completely Fair Scheduler

    E-Print Network [OSTI]

    Hellebrand, Sybille

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

  10. Optimal inspection scheduling with alternative fatigue reliability formulations for steel bridges

    E-Print Network [OSTI]

    Manuel, Lance

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

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

    E-Print Network [OSTI]

    Bölöni, Ladislau L

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

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

    E-Print Network [OSTI]

    Simunic, Tajana

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

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

    Open Energy Info (EERE)

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

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

    E-Print Network [OSTI]

    Phagan, Tyrian

    2011-08-31T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Simpson, R. W.

    1984-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Eisen, Michael

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

  17. summer_schedule3_2004.xls

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30NaturalThousandExtensions473.6 W 54,849.062 210 50trilliond Form EIA-4114a

  18. summer_schedule3_2005.xls

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30NaturalThousandExtensions473.6 W 54,849.062 210 50trilliond Form EIA-4114a5a

  19. summer_schedule3_2006.xls

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30NaturalThousandExtensions473.6 W 54,849.062 210 50trilliond Form

  20. summer_schedule3_2010.xls

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30NaturalThousandExtensions473.6 W 54,849.062 210 50trilliond FormA.1. FRCC

  1. Forms of matter and forms of radiation

    E-Print Network [OSTI]

    Maurice Kleman

    2011-04-08T23:59:59.000Z

    The theory of defects in ordered and ill-ordered media is a well-advanced part of condensed matter physics. Concepts developed in this field also occur in the study of spacetime singularities, namely: i)- the topological theory of quantized defects (Kibble's cosmic strings) and ii)- the Volterra process for continuous defects, used to classify the Poincar\\'e symmetry breakings. We reassess the classification of Minkowski spacetime defects in the same theoretical frame, starting from the conjecture that these defects fall into two classes, as on they relate to massive particles or to radiation. This we justify on the empirical evidence of the Hubble's expansion. We introduce timelike and null congruences of geodesics treated as ordered media, viz. 'm'-crystals of massive particles and 'r'-crystals of massless particles, with parallel 4-momenta in M^4. Classifying their defects (or 'forms') we find (i) 'm'- and 'r'- Volterra continuous line defects and (ii) quantized topologically stable 'r'-defects, these latter forms being of various dimensionalities. Besides these 'perfect' forms, there are 'imperfect' disclinations that bound misorientation walls in three dimensions. We also speculate on the possible relation of these forms with the large-scale structure of the Universe.

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

    SciTech Connect (OSTI)

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

    1991-02-07T23:59:59.000Z

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

  3. Methods of forming steel

    DOE Patents [OSTI]

    Branagan, Daniel J. (Iona, ID); Burch, Joseph V. (Shelley, ID)

    2001-01-01T23:59:59.000Z

    In one aspect, the invention encompasses a method of forming a steel. A metallic glass is formed and at least a portion of the glass is converted to a crystalline steel material having a nanocrystalline scale grain size. In another aspect, the invention encompasses another method of forming a steel. A molten alloy is formed and cooled the alloy at a rate which forms a metallic glass. The metallic glass is devitrified to convert the glass to a crystalline steel material having a nanocrystalline scale grain size. In yet another aspect, the invention encompasses another method of forming a steel. A first metallic glass steel substrate is provided, and a molten alloy is formed over the first metallic glass steel substrate to heat and devitrify at least some of the underlying metallic glass of the substrate.

  4. Energy Efficient Deadline Scheduling in Two Processor Systems

    E-Print Network [OSTI]

    Wong, Prudence W.H.

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

  5. Optimal Scheduling under Variable Electricity Pricing and Availability

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

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

  6. Task Scheduling and Voltage Selection for Energy Minimization

    E-Print Network [OSTI]

    Hu, Xiaobo Sharon

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

  7. Workforce-Constrained Preventive Maintenance Scheduling using Evolution Strategies

    E-Print Network [OSTI]

    Terwilliger, Mark

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

  8. Optimal Maintenance Scheduling of a Power Plant with Seasonal

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

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

  9. 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

  10. Approximation schemes for covering and scheduling on related machines

    E-Print Network [OSTI]

    Azar, Yossi

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

  11. Approximation schemes for covering and scheduling on related machines

    E-Print Network [OSTI]

    Epstein, Leah

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

  12. Scheduling of Connected Autonomous Vehicles on Highway Lanes

    E-Print Network [OSTI]

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

  13. Downlink Traffic Scheduling in Green Vehicular Roadside Infrastructure

    E-Print Network [OSTI]

    Karakostas, George

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

  14. Improved Multi-processor Scheduling for Flow Time and Energy

    E-Print Network [OSTI]

    Wong, Prudence W.H.

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

  15. 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

  16. Visopt ShopFloor System: Integrating Planning into Production Scheduling

    E-Print Network [OSTI]

    Bartak, Roman

    Visopt ShopFloor System: Integrating Planning into Production Scheduling Roman Bart√°k Charles, the first machine pre-processes the item (3 time units) that is finished in the second machine (additional 3 in parallel and a worker is required (left) or via a serial production when the item is pre- processed

  17. 1 ON LANGUAGES FOR DYNAMIC RESOURCE SCHEDULING PROBLEMS

    E-Print Network [OSTI]

    Powell, Warren B.

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

  18. Real-Time Scheduling for Energy Harvesting Sensors

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    autonomous sensors to scavenge the energy in the environment. Environmental applications include forest fireReal-Time Scheduling for Energy Harvesting Sensors Maryline Chetto IRCCyN Lab University of Nantes Institut Universitaire de Technologie - Saida E-mail: rafichagechehade@ul.edu.lb Abstract-- Energy

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

    E-Print Network [OSTI]

    RŲmisch, Werner

    POWER SCHEDULING IN A HYDRO-THERMAL SYSTEM UNDER UNCERTAINTY C.C. Car e1, M.P. Nowak2, W. Romisch2 Forschungsgemeinschaft. leads to a tremendous increase in the complex- ity of the traditional power optimization mod- els-burning) thermal units, pumped-storage hydro plants and delivery con- tracts and describe an optimization model

  20. POWER SCHEDULING IN A HYDROTHERMAL SYSTEM UNDER UNCERTAINTY

    E-Print Network [OSTI]

    RŲmisch, Werner

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

  1. Using Heuristic Algorithms to Effectively Schedule Database Utilities*

    E-Print Network [OSTI]

    1 Using Heuristic Algorithms to Effectively Schedule Database Utilities* Zusheng Xu and Patrick systems (DBMSs). Data maintenance utilities ensure that the data in tables are stored as efficiently as possible so executing the utilities is crucial to preventing applications from suffering major performance

  2. Energy-aware scheduling under reliability and makespan constraints

    E-Print Network [OSTI]

    Aupy, Guillaume; Robert, Yves

    2011-01-01T23:59:59.000Z

    We consider a task graph to be executed on a set of homogeneous processors. We aim at minimizing the energy consumption while enforcing two constraints: a prescribed bound on the execution time or makespan), and a reliability threshold. Dynamic voltage and frequency scaling (DVFS) is a model frequently used to reduce the energy consumption of a schedule, but it has negative effect on its reliability. In this work, to improve the reliability of a schedule while reducing the energy consumption, we allow for the re-execution of some tasks. We assess the complexity of the tri-criteria scheduling problem (makespan, reliability, energy) with two different speed models: either processors can have arbitrary speeds (continuous speeds), or a processor can run at a finite number of different speeds, and it can change its speed during a computation. We propose several novel tri-criteria scheduling heuristics under the continuous speed model, and we evaluate them through a set of simulations. Our two best heuristics turn ...

  3. Simultaneous Scheduling and Control of Multiproduct Continuous Parallel Lines

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    continuous reactors is cast as a Mixed-Integer Dynamic Optimization (MIDO) problem. The reactor dynamic;Abstract In this work we propose a simultaneous scheduling and control optimization formulation to ad- dress both optimal steady-state production and dynamic product transitions in multiproduct parallel

  4. Energy-Aware Meeting Scheduling Algorithms for Smart Buildings

    E-Print Network [OSTI]

    Albonesi, David H.

    The increasing worldwide concern over the energy con- sumption of commercial buildings calls for new approaches; Build- ing energy efficiency 1 Introduction The energy consumption of commercial buildings is of growingEnergy-Aware Meeting Scheduling Algorithms for Smart Buildings Abhinandan Majumdar Computer Systems

  5. On Pipelining Dynamic Instruction Scheduling Logic Jared Stark

    E-Print Network [OSTI]

    Zhang, Zhongfei "Mark"

    Engineering ¬° The University of Texas at Austin¬Ę mbrown,patt¬£ @ece.utexas.edu Abstract A machine's performance [3] warned that the dynamic instruction scheduling logic for current machines performs an atomic ¬° Microprocessor Research Labs Intel Corporation jared.w.stark@intel.com Dept. of Electrical and Computer

  6. Optimal Scheduling of Industrial Combined Heat and Power Plants

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Optimal Scheduling of Industrial Combined Heat and Power Plants under Time-sensitive Electricity Prices Sumit Mitra , Lige Sun , Ignacio E. Grossmann December 24, 2012 Abstract Combined heat and power companies. However, under-utilization can be a chance for tighter interaction with the power grid, which

  7. Maintenance scheduling problems as benchmarks for constraint algorithms

    E-Print Network [OSTI]

    Dechter, Rina

    a power plant. We show how these scheduling prob- lems can be cast as constraint satisfaction problems ect any real life situations. In this paper we demonstrate another method for comparing CSP search plant. Our approach was to de ne a formal model which captures most of the interesting characteristics

  8. Maintenance scheduling problems as benchmarks for constraint algorithms

    E-Print Network [OSTI]

    Dechter, Rina

    units within a power plant. We show how these scheduling prob­ lems can be cast as constraint another method for comparing CSP search algo­ rithms, by applying them to random problems that have been units within an electric power plant. Our approach was to define a formal model which captures most

  9. Hydro-Thermal Scheduling (HTS) 1.0 Introduction

    E-Print Network [OSTI]

    McCalley, James D.

    1 Hydro-Thermal Scheduling (HTS) 1.0 Introduction From an overall systems view, the single most, relative to that of thermal plants, are very small. There are three basic types of hydroelectric plants;2 Pump-storage This kind of hydro plant is a specialized reservoir-type plant which has capability to act

  10. TRU Waste Management Program cost/schedule optimization analysis

    SciTech Connect (OSTI)

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

    1985-10-01T23:59:59.000Z

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

  11. CE 4990 -Construction Scheduling Week 1: Steel Frame Project

    E-Print Network [OSTI]

    Mukherjee, Amlan

    CE 4990 - Construction Scheduling Week 1: Steel Frame Project Fall 2011 January 13, 2012 Introduction You are a construction manager for a project to build a steel frame for an office building1 of 964 pre-fabricated structural steel members will be used in the construction. The standard bay size

  12. Power-Aware Dynamic Task Scheduling for Heterogeneous Accelerated Clusters

    E-Print Network [OSTI]

    Power-Aware Dynamic Task Scheduling for Heterogeneous Accelerated Clusters Tomoaki Hamano, Toshio Endo and Satoshi Matsuoka Tokyo Institute of Technology/JST, Japan Abstract Recent accelerators with accelerators and general CPUs are becoming popular, such as LANL's Roadrun- ner and our own TSUBAME

  13. 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

  14. Downstream-based Scheduling for Energy Conservation in Green EPONs

    E-Print Network [OSTI]

    Shihada, Basem

    1 Downstream-based Scheduling for Energy Conservation in Green EPONs Shen Chen, Ahmad R. Dhaini maximum energy conservation in green Ethernet passive optical networks (EPONs). While overlapping allocation scheme for energy conservation in green EPONs. Simulation results verify the proposed model

  15. Energy-Efficient Flow Time Scheduling: An Experimental Study

    E-Print Network [OSTI]

    Wong, Prudence W.H.

    ] and Intel's Speedstep [6]. Running a job at a slower speed saves energy, yet it takes longer time and may and energy. An algorithm called AJC (active job count) has been proposed [3, 7], in which the speedEnergy-Efficient Flow Time Scheduling: An Experimental Study Jude-Thaddeus Ojiaku (speaker) Daniel

  16. Deadline Scheduling and Power Management for Speed Bounded Processors

    E-Print Network [OSTI]

    Wong, Prudence W.H.

    ). The aim is to minimize the energy for completing all jobs by their deadlines. In this paper, we extend model. Assuming no sleep state, a scheduler, to save energy, probably runs a job as slow as its deadline-Kei Lee Isaac K.K. To Prudence W.H. Wong 1 Introduction Energy consumption has become an important issue

  17. Deadline Scheduling and Power Management for Speed Bounded Processors

    E-Print Network [OSTI]

    Wong, Prudence W.H.

    be scaled arbitrarily high (the infinite speed model), SOA can complete all jobs with reduced energy usage,15,23,24] enables a processor to vary the speed dynamically. Running a job slower reduces energy usage, but it takes online job scheduling with speed scaling and energy usage taken into consideration. The challenge arises

  18. Nonmigratory Multiprocessor Scheduling for Response Time and Energy

    E-Print Network [OSTI]

    Wong, Prudence W.H.

    can vary its speed dynamically. Running a job at a slower speed is more energy efficient, yet it takesS) and conserving energy. One commonly used QoS measurement for schedul­ ing jobs on a processor is the average time and energy usage into consideration. Details are as follows. 1.1 Models and Previous Work Jobs

  19. COST FUNCTIONS FOR SCHEDULING TASKS IN CYBER-PHYSICAL SYSTEMS

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    COST FUNCTIONS FOR SCHEDULING TASKS IN CYBER-PHYSICAL SYSTEMS Abhinna Jain, C.M. Krishna, Israel, cost functions, controlled plant dynamics Abstract: In Cyber Physical Systems (CPS), computational response times are different. In this paper, we consider using cost functions of task response time

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

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    Periodic Constraint-Based Control Using Dynamic Wireless Sensor Scheduling James Weimer, Jos¬īe Ara¬īujo, Aitor Hernandez and Karl Henrik Johansson Abstract-- Constraint-based control over wireless sensor net- works (WSNs) require control strategies that achieve a desired closed-loop system performance while

  1. M1 internship account On update schedules and dynamics of

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    M1 internship account 2007-2008 On update schedules and dynamics of boolean networks Mathilde Noual Internship done at the university of Concepción under the direction of Julio Aracena hal-00688157,version1 network rely on several dierent parameters. During this internship, we have especially been looking

  2. WINTER-SPRING 2009 SCHEDULE Workshops to Improve Productivity by

    E-Print Network [OSTI]

    .html Motor Systems Management Motor Systems Management training is designed to help facility personnel reduce tracking, maintenance, repair, power quality, management of power transmission and driven loads reverse for complete schedule of classes. Fundamentals of Compressed Air Systems (Advanced Course Also

  3. Sensor Scheduling in Electronic Support Using Markov Chains

    E-Print Network [OSTI]

    Clarkson, Vaughan

    .El-Mahassni@dsto.defence.gov.au Electronic Warfare & Radar Division Defence Science & Technology Organisation P.O. Box 1500, Edinburgh South1 Sensor Scheduling in Electronic Support Using Markov Chains I. Vaughan L. Clarkson , Edwin D. El;3 Abstract In Electronic Support, receivers must maintain surveillance over the very wide portion

  4. MINI-MUSEUM Schedule 2014 DATE TOPIC SPEAKER

    E-Print Network [OSTI]

    Shoubridge, Eric

    MINI-MUSEUM Schedule 2014 DATE TOPIC SPEAKER Oct 15 Dinosaurs and the origin of birds Prof. Hans amphibians Prof. David M. Green (Director, Redpath Museum) Oct. 29 Nov.5 Nov. 12 Pandora's Ballast Tank) Barbara Lawson (Curator of World Cultures, Redpath Museum) Nov. 19 Humans, evolution, and the future

  5. Intelligent Train Scheduling on a High-Loaded Railway Network

    E-Print Network [OSTI]

    Salido, Miguel Angel

    Intelligent Train Scheduling on a High-Loaded Railway Network A. Lova1 , P. Tormos1 , F. Barber2 application to assist planners in adding new trains on a complex railway network. It includes many trains. The application builds the timeta- ble for new trains linking the available time slots to trains to be schedu- led

  6. Optimizing with constraints: a case study in scheduling maintenance of electric power units

    E-Print Network [OSTI]

    Dechter, Rina

    industry is that of optimally schedul­ ing preventative maintenance of power generating units within of the electric power industry: optimally scheduling preventative maintenance of power generating units within or two dozen power generating units which can be individually scheduled for preventive maintenance. Both

  7. Optimizing with constraints: a case study in scheduling maintenance of electric power units

    E-Print Network [OSTI]

    Dechter, Rina

    is that of optimally schedul- ing preventative maintenance of power generating units within a power plant. We show how: optimally scheduling preventative maintenance of power generating units within a power plant. We de ne can be individually scheduled for preventive maintenance. Both the required duration of each unit

  8. Developing scheduling policies in gLite middleware A. Kretsis, P. Kokkinos, E. A. Varvarigos

    E-Print Network [OSTI]

    Varvarigo, Emmanouel "Manos"

    and simulations to practice and the actual implementation of our scheduling algorithm. In this work we also],[6]. Most of these scheduling algorithms, have been evaluated through simulations. A taxonomy experiences from implementing and integrating a new job scheduling algorithm in the gLite Grid middleware

  9. Energy Efficient Multiprocessor Task Scheduling under Input-dependent Variation Jason Cong and Karthik Gururaj

    E-Print Network [OSTI]

    Cong, Jason "Jingsheng"

    to produce a scheduling solution and voltage assignment such that the average energy consumption is minimized that the scheduling solution generated by our algorithm can provide up to 25% reduction in energy consumption over greedy dynamic slack reclamation algorithms. Index Terms--DVS, scheduling, average energy consumption

  10. Simultaneous Cyclic Scheduling and Control of Tubular Reactors: Parallel Production Lines

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Simultaneous Cyclic Scheduling and Control of Tubular Reactors: Parallel Production Lines Antonio scheduling and control formulation is tested using three multiproduct continuous tubular reactors featuring on the simultaneous scheduling and control (SC) of tubular reactors in a single production line [1] to the case

  11. Simultaneous Cyclic Scheduling and Control of Tubular Reactors: Single Production Lines

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Simultaneous Cyclic Scheduling and Control of Tubular Reactors: Single Production Lines Antonio multiproduct tubular reactors. The simultaneous scheduling and control problem for continuous multiproduct.13.98.241/antonio 1 #12;Abstract In this work we propose a simultaneous scheduling and control optimization

  12. The BEST Desktop Soft Real-Time Scheduler Scott A. Banachowski and Scott A. Brandt

    E-Print Network [OSTI]

    Miller, Ethan L.

    The BEST Desktop Soft Real-Time Scheduler Scott A. Banachowski and Scott A. Brandt University of California, Santa Cruz E-mail: sbanacho,sbrandt¬° @cse.ucsc.edu Abstract Best-effort CPU scheduling- effort scheduler that handles CPU-intensive, I/O-intensive, and periodic SRT processes using a single

  13. The BEST Desktop Soft Real-Time Scheduler Scott A. Banachowski and Scott A. Brandt

    E-Print Network [OSTI]

    Brandt, Scott A.

    results, i.e. priority boosts should be based on rate or deadline requirements. ¬Į Increasing the loadThe BEST Desktop Soft Real-Time Scheduler Scott A. Banachowski and Scott A. Brandt University-effort scheduler that handles CPU-intensive, I/O-intensive, and periodic SRT processes using a single scheduling

  14. DHARMA: A Tool for Evaluating Dynamic Scheduling Algorithms for Realtime Multiprocessor Systems

    E-Print Network [OSTI]

    Manimaran, Govindarasu

    ­tolerance and resource reclaiming. Section 3 reviews the earlier work on dynamic scheduling algorithms. In Section 4, we discuss our dynamic scheduling and reclaiming algorithms. Section 5 discusses the software architectureDHARMA: A Tool for Evaluating Dynamic Scheduling Algorithms for Real­time Multiprocessor Systems G

  15. 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- sumption with comparison to the reactive schemes in the literature. Keywords: Energy-efficient scheduling

  16. 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

  17. 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

  18. 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

  19. 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

  20. Abstract--Time-driven Switching (TDS) networks with non-immediate forwarding (NIF) provides scheduling

    E-Print Network [OSTI]

    Baldi, Mario

    Abstract-- Time-driven Switching (TDS) networks with non-immediate forwarding (NIF) provides that with NIF scheduling complexity may grow exponentially. Efficiently finding a schedule from an exponential formulation of the NIF scheduling problem, under a wide variety of networking requirements, then introduces

  1. Workload Management: More Than Just Job Scheduling James Patton Jones, Bill Nitzberg and Bob Henderson

    E-Print Network [OSTI]

    Newhall, Tia

    management is queueing, or the process of collecting together ``work'' to be executed on a set of resourcesWorkload Management: More Than Just Job Scheduling James Patton Jones, Bill Nitzberg and Bob "workload management" and scheduling are synomnous. This is not the case. Scheduling is in fact just one out

  2. 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

  3. Southwest Florida Water Management District Watering Schedule Beginning July 1, 2010

    E-Print Network [OSTI]

    Watson, Craig A.

    Southwest Florida Water Management District Watering Schedule Beginning July 1, 2010 Restrictions Watering Schedule and Times Lawn watering is limited to twice per week unless your city or county has a different schedule or stricter hours in effect, Even addresses may water on Thursday and/or Sunday before 10

  4. On the equivalence of economic lot scheduling and switched production systems

    E-Print Network [OSTI]

    Armbruster, Dieter

    On the equivalence of economic lot scheduling and switched production systems K.G.M. Jacobs from switched production systems are applied to the economic lot schedul- ing problem: i) A feedback-entrant production scheduling where parts arrive into the manufacturing system with certain (random) arrival rates

  5. Schedulability Analysis for Fixed Priority Real-Time Systems with Energy-Harvesting

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Schedulability Analysis for Fixed Priority Real-Time Systems with Energy-Harvesting Yasmina sufficient schedulability tests for fixed-priority pre-emptive scheduling of a real-time system under energy constraints. In this problem, energy is harvested from the ambient environment and used to replenish a storage

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

    E-Print Network [OSTI]

    Feitelson, Dror

    Reducing Energy Costs for IBM Blue Gene/P via Power-Aware Job Scheduling Zhou Zhou1 , Zhiling Lan1 scheduling approach for HPC systems based on variable energy prices and job power profiles. In particular, we from produc- tion systems show that our power-aware job scheduling approach can reduce the energy cost

  7. EDF Option for Scheduling Real-Time Jobs in Energy Harvesting Systems

    E-Print Network [OSTI]

    Boyer, Edmond

    EDF Option for Scheduling Real-Time Jobs in Energy Harvesting Systems Maryline CHETTO IRCCy of devising algorithms for scheduling time critical jobs on a single processor computing system with no energy approach for scheduling independent jobs preemptively when there is no energy limitation and no processing

  8. Joint Power Control and Link Scheduling in Wireless Networks for Throughput Optimization

    E-Print Network [OSTI]

    Huang, Jianwei

    Joint Power Control and Link Scheduling in Wireless Networks for Throughput Optimization Liqun Fu formulate the general joint link scheduling and power control problem as an in- teger linear programming optimality. Index Terms--scheduling, power control, SINR constraints. I. INTRODUCTION Due to their unconfined

  9. Multiple-objective Scheduling for the Hierarchical Control of Flexible Manufacturing Cells

    E-Print Network [OSTI]

    Nagi, Rakesh

    Multiple-objective Scheduling for the Hierarchical Control of Flexible Manufacturing Cells (Revised level controller employs a combined priority rule to rank shop orders considering multiple scheduling the detailed schedule with projected order completion times back to the shop controller. Upon receiving

  10. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 59, NO. 5, MAY 2014 1147 Stochastic Sensor Scheduling for

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, VOL. 59, NO. 5, MAY 2014 1147 Stochastic Sensor Scheduling--Optimal sensor scheduling with applications to net- worked estimation and control systems is considered. We model approach to optimal control of Markov chains, we extract an optimal scheduling policy to fairly allocate

  11. ON THE SYNTHESIS OF OPTIMAL SCHEDULERS IN DISCRETE EVENT CONTROL PROBLEMS WITH MULTIPLE GOALS

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    ON THE SYNTHESIS OF OPTIMAL SCHEDULERS IN DISCRETE EVENT CONTROL PROBLEMS WITH MULTIPLE GOALS HERV to modify if necessary and piece together, or schedule, all of the controllers built in the first step, optimal control, scheduler, traveling salesman problem AMS subject classifications. 93A99, 49-XX, 90C27

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

    E-Print Network [OSTI]

    Walker, Robert A.

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

  13. Appropriate Realisation of MIMO Gain-Scheduled Controllers W.E. Leithead

    E-Print Network [OSTI]

    Duffy, Ken

    Appropriate Realisation of MIMO Gain-Scheduled Controllers D.J.Leith W.E. Leithead Department characteristics of a controller designed by the gain-scheduling approach can be strongly dependent realisations for general MIMO gain-scheduled controllers. An extended local linear equivalence condition

  14. Control #15421 In this paper we present a method of optimally scheduling trips travelling down

    E-Print Network [OSTI]

    Morrow, James A.

    Control #15421 SUMMARY In this paper we present a method of optimally scheduling trips travelling of trips as parameters and generates a schedule that maximizes the number of trips and determines when each schedule in which human interactions are minimized. Starting with a mathematically derived upper bound

  15. Interpolated versus Polytopic Gain Scheduling Control Laws for Fin/Rudder Roll Stabilisation of Ships

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Interpolated versus Polytopic Gain Scheduling Control Laws for Fin/Rudder Roll Stabilisation be done through the use of gain-scheduling (GS) control law. In this study, a GS-control law is obtained and a desired stabilisation quality factor. Gain scheduling is a way to obtain parameter dependent controllers

  16. Power Controlled Minimum Frame Length Scheduling in TDMA Wireless Networks with

    E-Print Network [OSTI]

    Arabshahi, Payman

    Power Controlled Minimum Frame Length Scheduling in TDMA Wireless Networks with Sectored Antennas controlled min- imum frame length scheduling for TDMA wireless networks. Given a set of one-hop transmission scheduling and power control was first addressed by Tamer and Ephremides in [1, 2]. Given a set of one

  17. The U.S. National Football League Scheduling Problem Bistra N. Dilkina and William S. Havens

    E-Print Network [OSTI]

    Keinan, Alon

    was required to allow the user to control and assist in the scheduling process. A prototype systemThe U.S. National Football League Scheduling Problem Bistra N. Dilkina and William S. Havens. Vancouver, British Columbia {bnd, havens}@cs.sfu.ca Abstract We describe the problem of scheduling

  18. A GAIN SCHEDULED CONTROL LAW FOR FIN/RUDDER ROLL STABILISATION OF SHIPS

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A GAIN SCHEDULED CONTROL LAW FOR FIN/RUDDER ROLL STABILISATION OF SHIPS Hervé Tanguy , Guy Lebret leads to a gain-scheduled control law. The synthesis is based on multi-objective optimisation stabilisation; H control; Gain Scheduled Control; polytopic representation; LMI. 1. INTRODUCTION A major

  19. 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

  20. NETWORK CODING-AWARE RATE CONTROL AND SCHEDULING IN WIRELESS NETWORKS

    E-Print Network [OSTI]

    Markopoulou, Athina

    NETWORK CODING-AWARE RATE CONTROL AND SCHEDULING IN WIRELESS NETWORKS Hulya Seferoglu , Athina demonstrate that there is benefit from making rate control and scheduling aware of the underlying network conflicts between nodes, which should be taken into account both in rate control and in scheduling. We

  1. Predicting Time-Delays under Real-Time Scheduling for Linear Model Predictive Control

    E-Print Network [OSTI]

    Zhang, Fumin

    Predicting Time-Delays under Real-Time Scheduling for Linear Model Predictive Control Zhenwu Shi prediction of time-delays caused by real-time scheduling. Then, a model predictive controller is designed, the interaction between real-time scheduling and control design has received interest in the literature

  2. Energy Efficient Joint Scheduling and Power Control for Wireless Sensor Networks

    E-Print Network [OSTI]

    Krishnamachari, Bhaskar

    Energy Efficient Joint Scheduling and Power Control for Wireless Sensor Networks Gang Lu in TDMA link scheduling with transmission power control using a realistic SINR-based interference model. We then investigate the scheduling and power control problem with the objective of minimizing

  3. Gain Scheduling Control Design of an Erbium-Doped Fibre Amplifier by Pump Compensation

    E-Print Network [OSTI]

    Pavel, Lacra

    Gain Scheduling Control Design of an Erbium-Doped Fibre Amplifier by Pump Compensation Min Ding amplifier's (EDFA's) dynamics. We demonstrate a gain scheduling scheme on a PID controller that minimizes- pensation. The scheduled controller requires only three easily accessible parameters: the total input power

  4. Scheduling Parallel Applications in Distributed Jon B. Weissman and Xin Zhao

    E-Print Network [OSTI]

    Weissman, Jon

    , improved overhead control, greater resource sharing, greater resource heterogeneity, wide­area scheduling1 Scheduling Parallel Applications in Distributed Networks Jon B. Weissman and Xin Zhao Division Prophet is a run­time scheduling system designed to support the efficient execution of paral­ lel

  5. Scheduling Job Families on Non-Identical Parallel Machines under Run-To-Run Control Constraints

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 Scheduling Job Families on Non-Identical Parallel Machines under Run-To-Run Control Constraints A}@emse.fr Keywords: Scheduling, Parallel Machines, Advanced Process Control, Time Constraint, Integer Linear), Run to Run control (R2R), and more recently Virtual Metrology (VM). Scheduling and APC are usually

  6. Feasibility Analysis of Aircraft Landing Scheduling for Non-Controlled Airports

    E-Print Network [OSTI]

    Valasek, John

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

  7. Robust Gain Scheduling techniques for Adaptive control Patrice Antoinette and Gilles Ferreres

    E-Print Network [OSTI]

    Robust Gain Scheduling techniques for Adaptive control Patrice Antoinette and Gilles Ferreres for implementing the LFT controller is reduced. This controller is scheduled as a function of the parameters) and of gain- scheduled control (LPV methods) has been (much) less investigated, see for instance [10], [11

  8. Scheduling ON-OFF home control devices Catherine Plaisant & Ben Shneiderman

    E-Print Network [OSTI]

    Shneiderman, Ben

    Scheduling ON-OFF home control devices Catherine Plaisant & Ben Shneiderman Human: the control of the scheduler is through a touchscreen interface. The Microtouch or Elographic touchscreens given a variety of home control scheduling tasks and encouraged to comment on the interfaces [2

  9. Bima memo 53 27Feb97 DYNAMIC SCHEDULING FOR THE BIMA ARRAY

    E-Print Network [OSTI]

    Militzer, Burkhard

    There are two traditional methods for scheduling observations. 1) interactive observations give control of a project too often. The scheduling program is guided by decision thresholds which control when to startBima memo 53 ­ 27Feb97 DYNAMIC SCHEDULING FOR THE BIMA ARRAY M. C. H. Wright Radio Astronomy

  10. Optimal Integrated Control and Scheduling of Networked Control Systems with Communication

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 Optimal Integrated Control and Scheduling of Networked Control Systems with Communication Abstract-- This paper addresses the problem of the optimal control and scheduling of Networked Control. This formulation allows the solving of the optimal control and scheduling problem using efficient branch and bound

  11. SEQUENTIAL OPEN-LOOP SCHEDULING STRATEGIES P. Nash, R.R. Weber

    E-Print Network [OSTI]

    Weber, Richard

    -optimal, scheduling strategies. This new approach is based on the notion of sequential open-loop control, sometimesSEQUENTIAL OPEN-LOOP SCHEDULING STRATEGIES P. Nash, R.R. Weber Cambridge University ABSTRACT For certain scheduling problems wi th pre-emptive processing, a dynamic programming formulation reduces

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

    E-Print Network [OSTI]

    Kutanoglu, Erhan

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

  13. Efficiency and Fairness Trade-Offs in SC-FDMA Schedulers

    E-Print Network [OSTI]

    Ayanoglu, Ender

    - rithms in LTE. These are admission control, packet scheduling, power control, and interference control [2 on the packet scheduling and power control algorithms. Let us note that LTE systems are designed to offer large flexibility in packet scheduling in time, frequency, and spa- tial domains. Through control channel signals

  14. Optimal Real-Time Scheduling of Control Tasks with State Feedback Resource Allocation

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 Optimal Real-Time Scheduling of Control Tasks with State Feedback Resource Allocation Mohamed El for the optimal integrated control and real-time scheduling of control tasks. First, the problem of the optimal integrated control and non- preemptive off-line scheduling of control tasks in the sense of the H2

  15. Stochastic Sensor Scheduling with Application to Networked Control Farhad Farokhi and Karl H. Johansson

    E-Print Network [OSTI]

    Johansson, Karl Henrik

    Stochastic Sensor Scheduling with Application to Networked Control Farhad Farokhi and Karl H. Johansson Abstract-- We consider stochastic sensor scheduling with application to networked control systems) among the control loops. We apply this scheduling policy to a networked control system composed

  16. A PI-based control structure as an operating system scheduler

    E-Print Network [OSTI]

    Como, Giacomo

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

  17. Robust control/scheduling co-design: application to robot control Daniel Simon

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Robust control/scheduling co-design: application to robot control Daniel Simon INRIA Rh of robust closed-loop control can also be ap- plied to the real-time scheduler to provide on-line adap- tion of some scheduling parameters, with the objective of controlling the computing resource allocation

  18. Performance Evaluation of Resource Reservation Policies for Rate-Controlled Earliest-Deadline-First Scheduling in

    E-Print Network [OSTI]

    Elsayed, Khaled Fouad

    -Deadline First Scheduling, Deterministic Delay Bounds, Call Admission Control, Multi-Service Networks. Abstract- Controlled Earliest-Deadline-First (RC-EDF) scheduling discipline. EDF is known to be an optimal schedulingPerformance Evaluation of Resource Reservation Policies for Rate-Controlled Earliest

  19. Joint Scheduling, Power Control and Routing in Symmetric, One-dimensional, Multi-hop Wireless Networks

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Joint Scheduling, Power Control and Routing in Symmetric, One-dimensional, Multi-hop Wireless scheduling, routing and power control that achieves max-min fair rate allocation in a multi-hop wireless that a traditional layering network approach, separating routing, scheduling, flow and power control

  20. INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE Scheduling and Controlling Work-In-Process

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 INSTITUT NATIONAL DE RECHERCHE EN INFORMATIQUE ET EN AUTOMATIQUE Scheduling and Controlling Work contr√īlables. inria-00072699,version1-24May2006 #12;3 Scheduling and controlling Work-In-Process: An On In this paper, we study an approach that aims at scheduling parts and controlling WIP. Hence, w are interested

  1. Basics of Advanced Software Systems Static cyclic scheduling on automotive Electronic Control Units (ECU)

    E-Print Network [OSTI]

    Navet, Nicolas

    Basics of Advanced Software Systems Static cyclic scheduling on automotive Electronic Control Units Systems ­ Coursework ­ March 9, 2012. lic scheduling on automotive Electronic Control Units (ECU) (nicolas - Name, - Execution time, - Period of execution, - First activation date, also cal period. The scheduling

  2. Computational Study for the Workforce Scheduling and Routing J. Arturo Castillo-Salazar1

    E-Print Network [OSTI]

    Qu, Rong

    Computational Study for the Workforce Scheduling and Routing Problem J. Arturo Castillo-Salazar1 , Dario Landa-Silva1 and Rong Qu1 1Automated Scheduling, Optimisation and Planning (ASAP) Research Group.landasilva, rong.qu}@nottingham.ac.uk Keywords: Employee Scheduling, Workforce Optimization, Personnel Routing

  3. Opportunistic Spectrum Scheduling for Mobile Cognitive Radio Networks in White Space

    E-Print Network [OSTI]

    California at Davis, University of

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

  4. Meson electromagnetic form factors

    E-Print Network [OSTI]

    Stanislav Dubnicka; Anna Z. Dubnickova

    2012-10-23T23:59:59.000Z

    The electromagnetic structure of the pseudoscalar meson nonet is completely described by the sophisticated Unitary&Analytic model, respecting all known theoretical properties of the corresponding form factors.

  5. Form:SampleForm | 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 Home5b9fcbce19 NoPublicIDAPowerPlantSitingConstruction.pdfNotify98.pdf JumpFlixMapFile Jump to: navigation,SampleForm Jump to:

  6. Method of forming nanodielectrics

    DOE Patents [OSTI]

    Tuncer, Enis [Knoxville, TN; Polyzos, Georgios [Oak Ridge, TN

    2014-01-07T23:59:59.000Z

    A method of making a nanoparticle filled dielectric material. The method includes mixing nanoparticle precursors with a polymer material and reacting the nanoparticle mixed with the polymer material to form nanoparticles dispersed within the polymer material to form a dielectric composite.

  7. POSITION MANAGEMENT ACTION FORM

    E-Print Network [OSTI]

    Eirinaki, Magdalini

    POSITION MANAGEMENT ACTION FORM Workforce Planning | 408-924-2250 classcomp@sjsu.edu SJSU Human FOR POSITION MANAGEMENT FORM Workforce Planning | 408-924-2250| classcomp@sjsu.edu SJSU Human Resources Revised contact your Workforce Planning Analyst. List the name of the position this position reports to

  8. Method for forming materials

    DOE Patents [OSTI]

    Tolle, Charles R. (Idaho Falls, ID); Clark, Denis E. (Idaho Falls, ID); Smartt, Herschel B. (Idaho Falls, ID); Miller, Karen S. (Idaho Falls, ID)

    2009-10-06T23:59:59.000Z

    A material-forming tool and a method for forming a material are described including a shank portion; a shoulder portion that releasably engages the shank portion; a pin that releasably engages the shoulder portion, wherein the pin defines a passageway; and a source of a material coupled in material flowing relation relative to the pin and wherein the material-forming tool is utilized in methodology that includes providing a first material; providing a second material, and placing the second material into contact with the first material; and locally plastically deforming the first material with the material-forming tool so as mix the first material and second material together to form a resulting material having characteristics different from the respective first and second materials.

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    Levit, Anna

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

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

    SciTech Connect (OSTI)

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

    2010-08-01T23:59:59.000Z

    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.

  12. Enhanced Energy-Aware Feedback Scheduling of Embedded Control Systems

    E-Print Network [OSTI]

    Xia, Feng; Zhao, Wenhong; Sun, Youxian; Dong, Jinxiang

    2008-01-01T23:59:59.000Z

    Dynamic voltage scaling (DVS) is one of the most effective techniques for reducing energy consumption in embedded and real-time systems. However, traditional DVS algorithms have inherent limitations on their capability in energy saving since they rarely take into account the actual application requirements and often exploit fixed timing constraints of real-time tasks. Taking advantage of application adaptation, an enhanced energy-aware feedback scheduling (EEAFS) scheme is proposed, which integrates feedback scheduling with DVS. To achieve further reduction in energy consumption over pure DVS while not jeopardizing the quality of control, the sampling period of each control loop is adapted to its actual control performance, thus exploring flexible timing constraints on control tasks. Extensive simulation results are given to demonstrate the effectiveness of EEAFS under different scenarios. Compared with the optimal pure DVS scheme, EEAFS saves much more energy while yielding comparable control performance.

  13. Energy Use and Irrigation Scheduling for Efficient Water Use

    E-Print Network [OSTI]

    Marek, Thomas; Porter, Dana

    . Agricultural Water Management 96 (2009) 1698-1704. Piccinni, G., J. Ko, T. Marek and D. Leskovar. 2009. Crop coefficients specific to multiple phenological stages for evapotranspiration?based irrigation management of onion and spinach. Hort. Science 44... COLLEGE OF AGRICULTURE AND LIFE SCIENCES TR-393 2010 Energy Use and Irrigation Scheduling for Efficient Water Use By Thomas Marek, P.E. Senior Research Engineer Texas AgriLife Research Amarillo, Texas and Dr...

  14. An implementation of opportunistic scheduling for robotic assembly

    E-Print Network [OSTI]

    Butler, Allan Wayne

    2012-06-07T23:59:59.000Z

    effective. Robots are now capable of faster assembly times and increased consistency, leading to better quality. Yet, much more is needed. Robots are going to have to get "smarter". 1. 3 The Problem Manual assembly is too costly and robotic assembly...AN I MPLEMENTAT Z ON OF OPPORTUNZSTZC SCHEDULING FOR ROBOTZC ASSEMBLY A Thesis by ALLAN WAYNE BUTLER Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER...

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

    E-Print Network [OSTI]

    Aral, Bahadir

    2009-05-15T23:59:59.000Z

    . For instance, the American Cancer Society recommends three tests to detect signs of breast cancer: mammography, clinical breast exam and breast self-examination. Additionally, the American Medical Womens Association recommends annual mammography and clin- ical... cancer. For instance, mammography?s ability to detect a breast cancer when it is already started is estimated to 77.6% in (Houssami, Ciatto, Irwig, Simpson and Macaskill, 2002). Therefore, when designing screening inspection schedules, the fallibility...

  16. A method for developing visually intelligent construction scheduling data

    E-Print Network [OSTI]

    Pilgrim, Brent Christian

    2001-01-01T23:59:59.000Z

    and support is unyielding. vu TABLE OF CONTENTS ABSTRACT. Page DEDICATION . . ACKNOWLEDGEMENTS . . . LIST OF FIGURES. . V1 LIST OF TABLES. 1 INTRODUCTION 1. 1 Background. 1. 2 Problem Statement. 1. 3 Research Objectives. 1. 4 Significance. 2... LITERATURE REVIEW. . . . . 1 . . . . 2 2. 1 Scheduling. 2. 2 Simulation Models. . 2. 2. 1 Overview. 2. 2. 2 Application. 2. 2. 3 CYCLONE 2. 2. 4 STROBOSCOPE 2. 2. 5 ABC-Sim. . . 2. 3 Productivity Analysis. 2. 4 Graphic Representation: Three...

  17. Forms | 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 Delicious RankCombustion |Energy UsageAUDITVehicles ¬ĽExchange Visitors ProgramEnergy FallFastForms Forms DOE Forms

  18. Introduction to differential forms

    E-Print Network [OSTI]

    2015-03-08T23:59:59.000Z

    section 8) if it has a potential energy function. In terms of differential forms, F is conservative precisely when F1dx + F2dy is exact. 3 Parametric curves.

  19. UCSF Guidelines for Accelerated Advancement Accelerated advancement is an important form of recognition that rewards faculty who perform at an

    E-Print Network [OSTI]

    Klein, Ophir

    7/09 UCSF Guidelines for Accelerated Advancement Accelerated advancement is an important form this context, "accelerated advancement" means merit increases or promotions that are awarded one or more years earlier than the normal, on-time schedule for such advancements. Merits that are accelerated by more than

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

    E-Print Network [OSTI]

    Sridharan, Arun

    2012-01-01T23:59:59.000Z

    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.

  1. Forms | 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 Delicious RankCombustion |Energy UsageAUDITVehicles ¬ĽExchange Visitors ProgramEnergy FallFastForms Forms DOE

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

    SciTech Connect (OSTI)

    Bisping, Lynn E.

    2011-01-21T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

    Bisping, Lynn E.

    2007-01-31T23:59:59.000Z

    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.

  4. The FORM project

    E-Print Network [OSTI]

    J. A. M. Vermaseren

    2008-06-25T23:59:59.000Z

    The necessity of the FORM project is discussed. Then the evolutionary needs in particle physics are considered, looking at the trends over the years. A guess is made at what will be needed in the (near) future. The whole is concluded with some critical remarks concerning the publication of results and programs.

  5. PHENIX WBS notes. Cost and schedule review copy

    SciTech Connect (OSTI)

    Not Available

    1994-02-01T23:59:59.000Z

    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.

  6. FFTF and Advanced Reactors Transition Program Resource Loaded Schedule

    SciTech Connect (OSTI)

    GANTT, D.A.

    2000-10-31T23:59:59.000Z

    This Resource Load Schedule (RLS) addresses two missions. The Advanced Reactors Transition (ART) mission, funded by DOE-EM, is to transition assigned, surplus facilities to a safe and compliant, low-cost, stable, deactivated condition (requiring minimal surveillance and maintenance) pending eventual reuse or D&D. Facilities to be transitioned include the 309 Building Plutonium Recycle Test Reactor (PRTR) and Nuclear Energy Legacy facilities. This mission is funded through the Environmental Management (EM) Project Baseline Summary (PBS) RL-TP11, ''Advanced Reactors Transition.'' The second mission, the Fast Flux Test Facility (FFTF) Project, is funded through budget requests submitted to the Office of Nuclear Energy, Science and Technology (DOE-NE). The FFTF Project mission is maintaining the FFTF, the Fuels and Materials Examination Facility (FMEF), and affiliated 400 Area buildings in a safe and compliant standby condition. This mission is to preserve the condition of the plant hardware, software, and personnel in a manner not to preclude a plant restart. This revision of the Resource Loaded Schedule (RLS) is based upon the technical scope in the latest revision of the following project and management plans: Fast Flux Test Facility Standby Plan (Reference 1); Hanford Site Sodium Management Plan (Reference 2); and 309 Building Transition Plan (Reference 4). The technical scope, cost, and schedule baseline is also in agreement with the concurrent revision to the ART Fiscal Year (FY) 2001 Multi-Year Work Plan (MYWP), which is available in an electronic version (only) on the Hanford Local Area Network, within the ''Hanford Data Integrator (HANDI)'' application.

  7. Microsoft Word - XX 14 15 minute scheduling release FINAL.docx

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

    first time yesterday. Historically, our region's power producers have scheduled energy transactions on the hour and, more recently, on the half hour. The option of buying,...

  8. Dynamic Scheduling of Hard RealTime Applications in Open System Environment

    E-Print Network [OSTI]

    Dynamic Scheduling of Hard Real­Time Applications in Open System Environment Z. Deng J. W.­S. Liu J

  9. 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

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

    E-Print Network [OSTI]

    Kan Fang

    2014-04-10T23:59:59.000Z

    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†...

  11. E-Print Network 3.0 - assessment schedule whodas-ii Sample Search...

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

    are used to assess the difficulty... An Experimental Evaluation of List Scheduling ? Keith D. Cooper, Philip J. ... Source: Subramanian, Devika - Department of Computer...

  12. 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

    2014-12-24T23:59:59.000Z

    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.

  13. INTERFERENCE AWARE ROUTING AND SCHEDULING IN WIMAX BACKHAUL NETWORKS WITH SMART ANTENNAS

    E-Print Network [OSTI]

    Dyer, Bill

    .......................................................................... vii ABSTRACT ......................................................................... ix 1 ...................................................................... 1 Our Work and Contributions ................................................... 2 2. RELATED WORK.............................................................. 4 Previous Work on WiMAX Scheduling ........................................ 4 Previous Work

  14. A Scheduling Algorithm for Consistent Monitoring Results with Solar Powered High-Performance Wireless Embedded Systems

    E-Print Network [OSTI]

    Simunic, Tajana

    A Scheduling Algorithm for Consistent Monitoring Results with Solar Powered High but critical task for solar powered wireless high power embedded systems. Our algorithm relies on an energy

  15. Better approximation guarantees for job-shop scheduling

    SciTech Connect (OSTI)

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

    1997-06-01T23:59:59.000Z

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

  16. GAO-12-120G, GAO Schedule Assessment Guide

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power.pdf11-161-LNG | Department of Energy Freeport LNGEnergy Research |G-8onGAO Schedule

  17. 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassiveSubmitted for USMaterialstheterahertzon Home WaterScanningSchedule of

  18. Certification reporting forms

    SciTech Connect (OSTI)

    Not Available

    1981-02-18T23:59:59.000Z

    The required information and formats for the certification report including the cover sheet, compliance statement, and body of the report are given in this document. The body of the reports is different for each product. There are no product-to-product differences in the forms of the other parts of the reports. The products covered in this document include: furnaces, water heaters, refrigerator-freezers, central air conditioners, room air conditioners, and freezers.

  19. ARM - VAP Suggestion Form

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

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

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

    E-Print Network [OSTI]

    Alizadeh, Mahnoosh; Thomas, Robert J

    2012-01-01T23:59:59.000Z

    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...

  1. WI DOCUMENT RELEASE FORM

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear SecurityTensile Strain Switched Ferromagnetism inS-4500IIVasudhaSurface.Laboratory in Golden,WI DOCUMENT RELEASE FORM

  2. Technology Transfer Reporting Form

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy Usage ¬Ľof Energy StrainClientDesignOffice - 201420122 DOEServicesThis form is to

  3. ARM - Ingest Readiness Form

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcal Documentation(AVIRIS) ProductsAirborneOctober 11, 2011 [FacilityIndiaGVAXAssociated Status ReportsFormsIngest

  4. FORM EIA-28

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328 2,683DieselValues shown for the current twoForm78961

  5. Form EIA-767

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328 2,683DieselValues shown for the current8610)FormG (2001) --

  6. Form EIA-851Q

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328 2,683DieselValues shown for the current8610)FormG (2001)

  7. Form EIA-851Q

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328 2,683DieselValues shown for the current8610)FormG

  8. Form EIA-871A

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328 2,683DieselValues shown for the current8610)FormG0MApproval

  9. Fermilab Today - Subscription Form

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series toESnet4:Epitaxial ThinFORFALLSubscription Form Subscribe | Contact Us |

  10. Forms | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-SeriesFlickr Flickr Editor's note: SincePlant Name: (MM))Publications byForms

  11. A LOW POWER SCHEDULING SCHEME WITH RESOURCES OPERATING AT MULTIPLE VOLTAGES

    E-Print Network [OSTI]

    Kambhampati, Subbarao

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

  12. Using Relative Costs in Workflow Scheduling to Cope with Input Data Uncertainty

    E-Print Network [OSTI]

    Sakellariou, Rizos

    2012 ACM 978-1-4503-1608-8/12/12 ...$15.00. the heterogeneous resources in order to estimate the exeUsing Relative Costs in Workflow Scheduling to Cope with Input Data Uncertainty Luiz F. Bittencourt the application, a scheduler must distribute the components of the workflow in the avail- able resources using

  13. Benefits of Stochastic Scheduling for Power Systems with Significant Installed Wind Power

    E-Print Network [OSTI]

    Benefits of Stochastic Scheduling for Power Systems with Significant Installed Wind Power Aidan a stochastic element due to the uncertainty of wind power forecasts. By explicitly taking into account the stochastic nature of wind power, it is expected that better schedules should be produced, thereby reducing

  14. 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

  15. 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-study and a larger refinery problem show that the Lagrangian decomposition algorithm is more robust than the other

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

    E-Print Network [OSTI]

    Rossetti, Manuel D.

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

  17. 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- ple users cooperate to perform load demand scheduling in order to minimize the electricity generation between electricity consumption and generation. On the consumption side, electric demand ramps up

  18. Optimal Non-Preemptive Semi-Online Scheduling on Two Related Machines

    E-Print Network [OSTI]

    Epstein, Leah

    Optimal Non-Preemptive Semi-Online Scheduling on Two Related Machines Leah Epstein Lene M to be scheduled on two uniformly related machines, with the goal of minimizing the makespan. We analyze both 1) between the two machines. We show that the greedy algorithm LPT has optimal competitive ratio 1 4

  19. 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

  20. Utility Optimal Scheduling in Energy Harvesting Networks Longbo Huang, Michael J. Neely

    E-Print Network [OSTI]

    Huang, Longbo

    ], etc. However, to take full advantage of the energy har- vesting technology, efficient scheduling referred to as "recycling" energy [5]. This energy har- vesting ability is crucial for many network designUtility Optimal Scheduling in Energy Harvesting Networks Longbo Huang, Michael J. Neely ABSTRACT

  1. "The Vendor's Optimal Policy for Stock Replenishment and Shipment Scheduling under Temporal Shipment Consolidation

    E-Print Network [OSTI]

    Reisslein, Martin

    "The Vendor's Optimal Policy for Stock Replenishment and Shipment Scheduling under Temporal stock replenishment and shipment scheduling problem applicable under a vendor-managed inventory (VMI) contract where the vendor has flexibility over the timing and quantity of resupply at a group of retailers

  2. An Opportunistic Scheduler To Balance Performance Measures and Energy Consumption in Wireless Networks: Design and Implementation

    E-Print Network [OSTI]

    Yau, David K Y

    An Opportunistic Scheduler To Balance Performance Measures and Energy Consumption in Wireless scheduler that can balance the energy consumption by an idle system and the performance of motion prediction Chinese University of Hong Kong Shatin, Hong Kong cslui@cse.cuhk.edu.hk Abstract Energy management

  3. An off-line multiprocessor real-time scheduling algorithm to reduce static energy consumption

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    An off-line multiprocessor real-time scheduling algorithm to reduce static energy consumption, France laurent.pautet@telecom-paristech.fr Abstract--Energy consumption of highly reliable real dynamic energy consumption. This paper aims to propose a new off-line schedul- ing algorithm to put

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

    E-Print Network [OSTI]

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

  5. DHARMA: A Tool for Evaluating Dynamic Scheduling Algorithms for Realtime Multiprocessor Systems

    E-Print Network [OSTI]

    Manimaran, Govindarasu

    , and the related issues of fault­tolerance and resource reclaiming. Section 3 reviews the earlier work on dynamic scheduling algorithms. In Section 4, we discuss our dynamic scheduling and reclaiming algorithms. Section 5 simulation results obtained using the tool are presented in Section 6 and in Section 7, some concluding

  6. Utility-Optimal Scheduling in Time-Varying Wireless Networks with Delay Constraints

    E-Print Network [OSTI]

    propose an on-line scheduling policy and prove that it is utility- optimal. Surprisingly, this policy doesUtility-Optimal Scheduling in Time-Varying Wireless Networks with Delay Constraints I-Hong Hou CSL-varying environment, we consider the system problem of maximizing the total utility of clients, where the utilities

  7. Scheduling with Quality of Service requirements in Real-Time Energy Harvesting sensors

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Scheduling with Quality of Service requirements in Real-Time Energy Harvesting sensors Maissa by energy harvesters. We address this issue by proposing two energy-aware scheduling algorithmsS) measured in terms of deadline success ratio. Index Terms--embedded systems; energy harvesting schedu- ling

  8. 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

  9. Price-based adaptive spinning reserve requirements in power system scheduling1

    E-Print Network [OSTI]

    Oren, Shmuel S.

    &E, the Hydro-Thermal Optimization (HTO) program was developed almost a decade ago, based on the LagrangianPrice-based adaptive spinning reserve requirements in power system scheduling1 Chung-Li Tsenga function, on a price/value signal. We present three power system scheduling algorithms in which this price

  10. Abstract--Efficient scheduling for heterogeneous fractional lambda switching (FS) networks is required but

    E-Print Network [OSTI]

    Baldi, Mario

    rates. Moreover, when non-immediate forwarding (NIF) is used in FS, it increases the scheduling complexity exponentially, while decreasing the blocking probability. Thus, NIF scheduling presents a serious forwarding - IF or (2) non- immediate forwarding ­ NIF (see Section II.B). We address the NIF scenarios since

  11. Who needs a scheduler? Anne Benoit, Loris Marchal and Yves Robert

    E-Print Network [OSTI]

    Benoit, Anne

    Who needs a scheduler? Anne Benoit, Loris Marchal and Yves Robert ¬īEcole Normale Sup¬īerieure de-2008-34 Abstract This position paper advocates the need for schedul- ing. Even if resources at our), we would still need to assign the right task to the right device. We give several simple examples

  12. 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

  13. Improved Swing-Cut Modeling for Planning and Scheduling of Oil-Refinery Distillation Units

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    , Pennsylvania 15213, United States. Crude-oil assays, Distillation, Fractionation, Swing-cuts, Temperature cut with in the nonlinear optimization. 1. INTRODUCTION Distillation or fractionation models for planning and scheduling1 Improved Swing-Cut Modeling for Planning and Scheduling of Oil-Refinery Distillation Units Brenno

  14. A Robust RAM-THP Architecture for Downlink Multiuser MISO Transmission with User Scheduling

    E-Print Network [OSTI]

    Gulak, P. Glenn

    A Robust RAM-THP Architecture for Downlink Multiuser MISO Transmission with User Scheduling Saeed-Forcing Tomlinson-Harashima Precoding (ZF-THP) for multi-user trans- mission in a multiple-input-single-output (MU-MISO-THP, zero-forcing, multi- user MISO, precoding, scheduling. I. INTRODUCTION Multiple-Input Multiple

  15. 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

  16. 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

  17. 1D Vehicle Scheduling with Conflicts Torsten J. Gellert Felix G. K onig

    E-Print Network [OSTI]

    Nabben, Reinhard

    1D Vehicle Scheduling with Conflicts Torsten J. Gellert Felix G. Kň? onig Technische Universit,fkoenig}@math.tu¬≠berlin.de Preprint 2010/22 October 5, 2010 Abstract Systems of rail¬≠mounted vehicles play a key role in many to the vehicles of such systems and scheduling their execution amounts to finding k tours on a common line, where

  18. 1D Vehicle Scheduling with Conflicts Torsten J. Gellert Felix G. Konig

    E-Print Network [OSTI]

    Nabben, Reinhard

    1D Vehicle Scheduling with Conflicts Torsten J. Gellert Felix G. K¨onig Technische Universit,fkoenig}@math.tu-berlin.de Preprint 2010/22 October 5, 2010 Abstract Systems of rail-mounted vehicles play a key role in many to the vehicles of such systems and scheduling their execution amounts to finding k tours on a common line, where

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

    E-Print Network [OSTI]

    Kambhampati, Subbarao

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

  20. Discrete and Continuous Min-Energy Schedules for Variable Voltage Processors

    E-Print Network [OSTI]

    Li, Minming

    . A theoretical model for min-energy job scheduling was first proposed a decade ago, and it was shown that for any convex energy function, the min-energy schedule for a set of n jobs has a unique characterization/speed), it saves energy to execute jobs as slowly as possible while still satisfying all timing constraints

  1. An hybrid CP/MILP method for scheduling with energy costs

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    .artigues@laas.fr Abstract This paper deals with energy-related job scheduling for a foundry, in order to minimizeAn hybrid CP/MILP method for scheduling with energy costs Alain Ha¨it1 Christian Artigues2,3 1 the electricity bill. Accounting for energy and hu- man resource constraints leads to better solutions in terms

  2. Rack Aware Scheduling in HPC data centers An energy conservation strategy

    E-Print Network [OSTI]

    Chaudhary, Vipin

    centers. Energy conservation by improvements in job scheduling techniques has been one such area of activeRack Aware Scheduling in HPC data centers An energy conservation strategy Vikas Ashok Patil York, Buffalo, USA vipin@buffalo.edu Abstract-- Energy consumption in high performance computing data

  3. A Two-Tier Approach to Grid Workflow Scheduling Dietmar Sommerfeld

    E-Print Network [OSTI]

    Zachmann, Gabriel

    in computational Grids is how to map and schedule workflow tasks onto multiple distributed resources, and how. It performs a just-in-time mapping of tasks to Grid resources and is equivalent to common metaA Two-Tier Approach to Grid Workflow Scheduling Dietmar Sommerfeld Gesellschaft f

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

    E-Print Network [OSTI]

    Shehab, Mohamed

    Secure Distributed Solution for Optimal Energy Consumption Scheduling in Smart Grid Mohammad: Smart Grid, Energy Consumption Schedule, Privacy. I. INTRODUCTION Energy is critically important varying energy prices, giving incentive for using energy at off-peak hours. Smart grids provide innovative

  5. A quality control framework for bus schedule reliability Jie Lin a,*, Peng Wang b

    E-Print Network [OSTI]

    Illinois at Chicago, University of

    A quality control framework for bus schedule reliability Jie Lin a,*, Peng Wang b , Darold T and demonstrates a quality control framework for bus schedule reliability. Automatic vehicle loca- tion (AVL demonstrating that it can provide quick and accurate quality control. Published by Elsevier Ltd. Keywords

  6. SOFT REAL-TIME SCHEDULING OF NETWORKED CONTROL SYSTEMS WITH DROPOUTS GOVERNED BY A MARKOV CHAIN

    E-Print Network [OSTI]

    Lemmon, Michael

    SOFT REAL-TIME SCHEDULING OF NETWORKED CONTROL SYSTEMS WITH DROPOUTS GOVERNED BY A MARKOV CHAIN QIANG LING, MICHAEL D. LEMMON Abstract. This paper derives an equation for a networked control system as a specification on the quality of service (QoS) delivered by real-time schedulers in the communication network

  7. A unified approach to controller design for systems with quantization and time scheduling

    E-Print Network [OSTI]

    Sontag, Eduardo

    A unified approach to controller design for systems with quantization and time scheduling Dragan for controller design for control systems with quantization and time scheduling via an emulation-like approach control systems (QCS) and networked control systems (NCS) literature and provide a unified framework

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

    E-Print Network [OSTI]

    Buyya, Rajkumar

    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

  9. Joint Spectrum Allocation and Scheduling for Fair Spectrum Sharing in Cognitive Radio

    E-Print Network [OSTI]

    Misra, Satyajayant

    Joint Spectrum Allocation and Scheduling for Fair Spectrum Sharing in Cognitive Radio Wireless University, Tempe, AZ 85287-8809. Email:{misra,xue}@asu.edu Abstract Cognitive radio and Dynamic Spectrum joint spectrum alloca- tion and scheduling problems in cognitive radio wireless networks with the objec

  10. Lagrangian Relaxation Based Decompositon for Well Scheduling in Shale-gas Systems

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Lagrangian Relaxation Based Decompositon for Well Scheduling in Shale-gas Systems Brage Rugstad of mid and late-life wells in shale-gas systems. This state of the wells can be prevented by performing. In this paper, we present a Lagrangian relaxation based scheme for shut-in scheduling of distributed shale multi

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

    E-Print Network [OSTI]

    Shamma, Jeff S.

    , into the mechanical energy acting on the turbine and generator. The steam generated in the boiler system servesGain-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

  12. Communication Scheduling with Rerouting based on Static and Hybrid Techniques \\Lambda

    E-Print Network [OSTI]

    Sha, Edwin

    limit the overall processing performance. As one of the point design teams to develop NSF spon­ soredCommunication Scheduling with Re­routing based on Static and Hybrid Techniques \\Lambda David R­ lision Graph model, static scheduling algorithms are derived which work at compile­ time to determine

  13. Bipolar pulse forming line

    DOE Patents [OSTI]

    Rhodes, Mark A. (Pleasanton, CA)

    2008-10-21T23:59:59.000Z

    A bipolar pulse forming transmission line module for linear induction accelerators having first, second, third, fourth, and fifth planar conductors which form an interleaved stack with dielectric layers between the conductors. Each conductor has a first end, and a second end adjacent an acceleration axis. The first and second planar conductors are connected to each other at the second ends, the fourth and fifth planar conductors are connected to each other at the second ends, and the first and fifth planar conductors are connected to each other at the first ends via a shorting plate adjacent the first ends. The third planar conductor is electrically connectable to a high voltage source, and an internal switch functions to short a high voltage from the first end of the third planar conductor to the first end of the fourth planar conductor to produce a bipolar pulse at the acceleration axis with a zero net time integral. Improved access to the switch is enabled by an aperture through the shorting plate and the proximity of the aperture to the switch.

  14. Radiation Safety Work Control Form

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

    Radiation Safety Work Control Form (see instructions on pg-3) Rev. May 2014 Area: Form : Date: Preliminary Applicability Screen: (a) Will closing the beam line injection stoppers...

  15. BEREA COLLEGE VENDOR QUALIFICATION FORM

    E-Print Network [OSTI]

    Baltisberger, Jay H.

    BEREA COLLEGE VENDOR QUALIFICATION FORM 1. Name of Company submit the most recent financial statements with this vendor qualification form. 17. If you accept

  16. Multiple Timescale Dispatch and Scheduling for Stochastic Reliability in Smart Grids with Wind Generation Integration

    E-Print Network [OSTI]

    He, Miao; Zhang, Junshan

    2010-01-01T23:59:59.000Z

    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...

  17. A Study of Maintenance Contribution to a Joint Production and Preventive maintenance Scheduling Problem in the Robustness

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A Study of Maintenance Contribution to a Joint Production and Preventive maintenance Scheduling production and Preventive Maintenance (PM) scheduling problem in the robustness framework. The contributions equipment reliability and performance loss under disruption Key words: Production, Preventive maintenance

  18. Nucleon Electromagnetic Form Factors

    SciTech Connect (OSTI)

    Marc Vanderhaeghen; Charles Perdrisat; Vina Punjabi

    2007-10-01T23:59:59.000Z

    There has been much activity in the measurement of the elastic electromagnetic proton and neutron form factors in the last decade, and the quality of the data has greatly improved by performing double polarization experiments, in comparison with previous unpolarized data. Here we review the experimental data base in view of the new results for the proton, and neutron, obtained at JLab, MAMI, and MIT-Bates. The rapid evolution of phenomenological models triggered by these high-precision experiments will be discussed, including the recent progress in the determination of the valence quark generalized parton distributions of the nucleon, as well as the steady rate of improvements made in the lattice QCD calculations.

  19. Energy Aware Scheduling for Weighted Completion Time and Weighted Tardiness

    E-Print Network [OSTI]

    Carrasco, Rodrigo A; Stein, Cliff

    2011-01-01T23:59:59.000Z

    The ever increasing adoption of mobile devices with limited energy storage capacity, on the one hand, and more awareness of the environmental impact of massive data centres and server pools, on the other hand, have both led to an increased interest in energy management algorithms. The main contribution of this paper is to present several new constant factor approximation algorithms for energy aware scheduling problems where the objective is to minimize weighted completion time plus the cost of the energy consumed, in the one machine non-preemptive setting, while allowing release dates and deadlines.Unlike previous known algorithms these new algorithms can handle general job-dependent energy cost functions, extending the application of these algorithms to settings outside the typical CPU-energy one. These new settings include problems where in addition, or instead, of energy costs we also have maintenance costs, wear and tear, replacement costs, etc., which in general depend on the speed at which the machine r...

  20. The Energy Minimization Method: A Multiobjective Fitness Evaluation Technique and Its Application to the Production Scheduling in a Petroleum Refinery

    E-Print Network [OSTI]

    Coello, Carlos A. Coello

    to the Production Scheduling in a Petroleum Refinery Mayron Rodrigues de Almeida Sílvio Hamacher Industrial applied to production scheduling of a petroleum refinery. The experimental results are presented of the method when applied to the production scheduling in a petroleum refinery. Section 5 discusses