National Library of Energy BETA

Sample records for improvement network brain

  1. Complex Networks - A Key to Understanding Brain Function

    ScienceCinema (OSTI)

    Olaf Sporns

    2010-01-08

    The brain is a complex network of neurons, engaging in spontaneous and evoked activity that is thought to be the main substrate of mental life.  How this complex system works together to process information and generate coherent cognitive states, even consciousness, is not yet well understood.  In my talk I will review recent studies that have revealed characteristic structural and functional attributes of brain networks, and discuss efforts to build computational models of the brain that are informed by our growing knowledge of brain anatomy and physiology.

  2. Complex Networks - A Key to Understanding Brain Function

    SciTech Connect (OSTI)

    Olaf Sporns

    2008-01-23

    The brain is a complex network of neurons, engaging in spontaneous and evoked activity that is thought to be the main substrate of mental life.  How this complex system works together to process information and generate coherent cognitive states, even consciousness, is not yet well understood.  In my talk I will review recent studies that have revealed characteristic structural and functional attributes of brain networks, and discuss efforts to build computational models of the brain that are informed by our growing knowledge of brain anatomy and physiology.

  3. Converging Redundant Sensor Network Information for Improved Building Control

    SciTech Connect (OSTI)

    Dale K. Tiller; Gregor P. Henze

    2005-12-01

    This project is investigating the development and application of sensor networks to enhance building energy management and security. Commercial, industrial and residential buildings often incorporate systems used to determine occupancy, but current sensor technology and control algorithms limit the effectiveness of these systems. For example, most of these systems rely on single monitoring points to detect occupancy, when more than one monitoring point would improve system performance. Phase I of the project focused on instrumentation and data collection. In Phase I, a new occupancy detection system was developed, commissioned and installed in a sample of private offices and open-plan office workstations. Data acquisition systems were developed and deployed to collect data on space occupancy profiles. In phase II of the project, described in this report, we demonstrate that a network of several sensors provides a more accurate measure of occupancy than is possible using systems based on single monitoring points. We also establish that analysis algorithms can be applied to the sensor network data stream to improve the accuracy of system performance in energy management and security applications, and show that it may be possible to use sensor network pulse rate to distinguish the number of occupants in a space. Finally, in this phase of the project we also developed a prototype web-based display that portrays the current status of each detector in a sensor network monitoring building occupancy. This basic capability will be extended in the future by applying an algorithm-based inference to the sensor network data stream, so that the web page displays the likelihood that each monitored office or area is occupied, as a supplement to the actual status of each sensor.

  4. Converging Redundant Sensor Network Information for Improved Building Control

    SciTech Connect (OSTI)

    Dale Tiller; D. Phil; Gregor Henze; Xin Guo

    2007-09-30

    This project investigated the development and application of sensor networks to enhance building energy management and security. Commercial, industrial and residential buildings often incorporate systems used to determine occupancy, but current sensor technology and control algorithms limit the effectiveness of these systems. For example, most of these systems rely on single monitoring points to detect occupancy, when more than one monitoring point could improve system performance. Phase I of the project focused on instrumentation and data collection. During the initial project phase, a new occupancy detection system was developed, commissioned and installed in a sample of private offices and open-plan office workstations. Data acquisition systems were developed and deployed to collect data on space occupancy profiles. Phase II of the project demonstrated that a network of several sensors provides a more accurate measure of occupancy than is possible using systems based on single monitoring points. This phase also established that analysis algorithms could be applied to the sensor network data stream to improve the accuracy of system performance in energy management and security applications. In Phase III of the project, the sensor network from Phase I was complemented by a control strategy developed based on the results from the first two project phases: this controller was implemented in a small sample of work areas, and applied to lighting control. Two additional technologies were developed in the course of completing the project. A prototype web-based display that portrays the current status of each detector in a sensor network monitoring building occupancy was designed and implemented. A new capability that enables occupancy sensors in a sensor network to dynamically set the 'time delay' interval based on ongoing occupant behavior in the space was also designed and implemented.

  5. Multimodal Imaging of Alzheimer Pathophysiology in the Brain's Default Mode Network

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Shin, Jonghan; Kepe, Vladimir; Small, Gary W.; Phelps, Michael E.; Barrio, Jorge R.

    2011-01-01

    The spatial correlations between the brain's default mode network (DMN) and the brain regions known to develop pathophysiology in Alzheimer's disease (AD) have recently attracted much attention. In this paper, we compare results of different functional and structural imaging modalities, including MRI and PET, and highlight different patterns of anomalies observed within the DMN. Multitracer PET imaging in subjects with and without dementia has demonstrated that [C-11]PIB- and [F-18]FDDNP-binding patterns in patients with AD overlap within nodes of the brain's default network including the prefrontal, lateral parietal, lateral temporal, and posterior cingulate cortices, with the exception of the medial temporalmore » cortex (especially, the hippocampus) where significant discrepancy between increased [F-18]FDDNP binding and negligible [C-11]PIB-binding was observed. [F-18]FDDNP binding in the medial temporal cortex—a key constituent of the DMN—coincides with both the presence of amyloid and tau pathology, and also with cortical areas with maximal atrophy as demonstrated by T1-weighted MR imaging of AD patients.« less

  6. 21 Steps to Improve Cyber Security of SCADA Networks | Department of Energy

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

    1 Steps to Improve Cyber Security of SCADA Networks 21 Steps to Improve Cyber Security of SCADA Networks Supervisory control and data acquisition (SCADA) networks contain computers and applications that perform key functions in providing essential services and commodities (e.g., electricity, natural gas, gasoline, water, waste treatment, transportation) to all Americans. As such, they are part of the nation's critical infrastructure and require protection from a variety of threats that exist in

  7. Improving network performance on multicore systems: Impact of core affinities on high throughput flows

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

    Future Generation Computer Systems ( ) - Contents lists available at ScienceDirect Future Generation Computer Systems journal homepage: www.elsevier.com/locate/fgcs Improving network performance on multicore systems: Impact of core affinities on high throughput flows Nathan Hanford a,∗ , Vishal Ahuja a , Matthew Farrens a , Dipak Ghosal a , Mehmet Balman b , Eric Pouyoul b , Brian Tierney b a Department of Computer Science, University of California, Davis, CA, United States b Energy Sciences

  8. Network

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

    Network » Network Facts & Stats Engineering Services The Network Network Maps Network Facts & Stats Connected Sites Peering Connections ESnet Site Availabiliy OSCARS Fasterdata IPv6 Network Network Performance Tools The ESnet Engineering Team Contact Us Technical Assistance: 1 800-33-ESnet (Inside US) 1 800-333-7638 (Inside US) 1 510-486-7600 (Globally) 1 510-486-7607 (Globally) Report Network Problems: trouble@es.net Provide Web Site Feedback: info@es.net Network Facts and Stats

  9. A Simple and Efficient Methodology To Improve Geometric Accuracy in Gamma Knife Radiation Surgery: Implementation in Multiple Brain Metastases

    SciTech Connect (OSTI)

    Karaiskos, Pantelis; Moutsatsos, Argyris; Pappas, Eleftherios; Georgiou, Evangelos; Roussakis, Arkadios; Torrens, Michael; Seimenis, Ioannis

    2014-12-01

    Purpose: To propose, verify, and implement a simple and efficient methodology for the improvement of total geometric accuracy in multiple brain metastases gamma knife (GK) radiation surgery. Methods and Materials: The proposed methodology exploits the directional dependence of magnetic resonance imaging (MRI)-related spatial distortions stemming from background field inhomogeneities, also known as sequence-dependent distortions, with respect to the read-gradient polarity during MRI acquisition. First, an extra MRI pulse sequence is acquired with the same imaging parameters as those used for routine patient imaging, aside from a reversal in the read-gradient polarity. Then, “average” image data are compounded from data acquired from the 2 MRI sequences and are used for treatment planning purposes. The method was applied and verified in a polymer gel phantom irradiated with multiple shots in an extended region of the GK stereotactic space. Its clinical impact in dose delivery accuracy was assessed in 15 patients with a total of 96 relatively small (<2 cm) metastases treated with GK radiation surgery. Results: Phantom study results showed that use of average MR images eliminates the effect of sequence-dependent distortions, leading to a total spatial uncertainty of less than 0.3 mm, attributed mainly to gradient nonlinearities. In brain metastases patients, non-eliminated sequence-dependent distortions lead to target localization uncertainties of up to 1.3 mm (mean: 0.51 ± 0.37 mm) with respect to the corresponding target locations in the “average” MRI series. Due to these uncertainties, a considerable underdosage (5%-32% of the prescription dose) was found in 33% of the studied targets. Conclusions: The proposed methodology is simple and straightforward in its implementation. Regarding multiple brain metastases applications, the suggested approach may substantially improve total GK dose delivery accuracy in smaller, outlying targets.

  10. SU-E-T-568: Improving Normal Brain Sparing with Increasing Number of Arc Beams for Volume Modulated Arc Beam Radiosurgery of Multiple Brain Metastases

    SciTech Connect (OSTI)

    Hossain, S; Hildebrand, K; Ahmad, S; Larson, D; Ma, L; Sahgal, A

    2014-06-01

    Purpose: Intensity modulated arc beams have been newly reported for treating multiple brain metastases. The purpose of this study was to determine the variations in the normal brain doses with increasing number of arc beams for multiple brain metastases treatments via the TrueBeam Rapidarc system (Varian Oncology, Palo Alto, CA). Methods: A patient case with 12 metastatic brain lesions previously treated on the Leksell Gamma Knife Perfexion (GK) was used for the study. All lesions and organs at risk were contoured by a senior radiation oncologist and treatment plans for a subset of 3, 6, 9 and all 12 targets were developed for the TrueBeam Rapidarc system via 3 to 7 intensity modulated arc-beams with each target covered by at least 99% of the prescribed dose of 20 Gy. The peripheral normal brain isodose volumes as well as the total beam-on time were analyzed with increasing number of arc beams for these targets. Results: All intensisty modulated arc-beam plans produced efficient treatment delivery with the beam-on time averaging 0.6–1.5 min per lesion at an output of 1200 MU/min. With increasing number of arc beams, the peripheral normal brain isodose volumes such as the 12-Gy isodose line enclosed normal brain tissue volumes were on average decreased by 6%, 11%, 18%, and 28% for the 3-, 6-, 9-, 12-target treatment plans respectively. The lowest normal brain isodose volumes were consistently found for the 7-arc treatment plans for all the cases. Conclusion: With nearly identical beam-on times, the peripheral normal brain dose was notably decreased when the total number of intensity modulated arc beams was increased when treating multiple brain metastases. Dr Sahgal and Dr Ma are currently serving on the board of international society of stereotactic radiosurgery.

  11. Better Buildings Residential Network Peer Exchange Call Series: On Bill Financing: Readucing Cost Barriers to Energy Efficiency Improvements (201)

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

    On Bill Financing: Reducing Cost Barriers to Energy Efficiency Improvements (201) October 8, 2015 Call Slides and Discussion Summary Call Participants: Residential Network Members  Center for Sustainable Energy  City of Holland, Michigan  Connecticut Green Bank  EnergySavvy  Energy Smart  Greater Cincinnati Energy Alliance  Mitsubishi Electric Cooling and Heating  Northeast Energy Efficiency Partnerships  Southeast Energy Efficiency Alliance  Spirit Foundation 

  12. Synchronization, non-linear dynamics and low-frequency fluctuations: Analogy between spontaneous brain activity and networked single-transistor chaotic oscillators

    SciTech Connect (OSTI)

    Minati, Ludovico E-mail: ludovico.minati@unitn.it

    2015-03-15

    In this paper, the topographical relationship between functional connectivity (intended as inter-regional synchronization), spectral and non-linear dynamical properties across cortical areas of the healthy human brain is considered. Based upon functional MRI acquisitions of spontaneous activity during wakeful idleness, node degree maps are determined by thresholding the temporal correlation coefficient among all voxel pairs. In addition, for individual voxel time-series, the relative amplitude of low-frequency fluctuations and the correlation dimension (D{sub 2}), determined with respect to Fourier amplitude and value distribution matched surrogate data, are measured. Across cortical areas, high node degree is associated with a shift towards lower frequency activity and, compared to surrogate data, clearer saturation to a lower correlation dimension, suggesting presence of non-linear structure. An attempt to recapitulate this relationship in a network of single-transistor oscillators is made, based on a diffusive ring (n = 90) with added long-distance links defining four extended hub regions. Similarly to the brain data, it is found that oscillators in the hub regions generate signals with larger low-frequency cycle amplitude fluctuations and clearer saturation to a lower correlation dimension compared to surrogates. The effect emerges more markedly close to criticality. The homology observed between the two systems despite profound differences in scale, coupling mechanism and dynamics appears noteworthy. These experimental results motivate further investigation into the heterogeneity of cortical non-linear dynamics in relation to connectivity and underline the ability for small networks of single-transistor oscillators to recreate collective phenomena arising in much more complex biological systems, potentially representing a future platform for modelling disease-related changes.

  13. SU-E-T-206: Improving Radiotherapy Toxicity Based On Artificial Neural Network (ANN) for Head and Neck Cancer Patients

    SciTech Connect (OSTI)

    Cho, Daniel D; Wernicke, A Gabriella; Nori, Dattatreyudu; Chao, KSC; Parashar, Bhupesh; Chang, Jenghwa [Weill Cornell Medical College, NY, NY (United States)

    2014-06-01

    Purpose/Objective(s): The aim of this study is to build the estimator of toxicity using artificial neural network (ANN) for head and neck cancer patients Materials/Methods: An ANN can combine variables into a predictive model during training and considered all possible correlations of variables. We constructed an ANN based on the data from 73 patients with advanced H and N cancer treated with external beam radiotherapy and/or chemotherapy at our institution. For the toxicity estimator we defined input data including age, sex, site, stage, pathology, status of chemo, technique of external beam radiation therapy (EBRT), length of treatment, dose of EBRT, status of post operation, length of follow-up, the status of local recurrences and distant metastasis. These data were digitized based on the significance and fed to the ANN as input nodes. We used 20 hidden nodes (for the 13 input nodes) to take care of the correlations of input nodes. For training ANN, we divided data into three subsets such as training set, validation set and test set. Finally, we built the estimator for the toxicity from ANN output. Results: We used 13 input variables including the status of local recurrences and distant metastasis and 20 hidden nodes for correlations. 59 patients for training set, 7 patients for validation set and 7 patients for test set and fed the inputs to Matlab neural network fitting tool. We trained the data within 15% of errors of outcome. In the end we have the toxicity estimation with 74% of accuracy. Conclusion: We proved in principle that ANN can be a very useful tool for predicting the RT outcomes for high risk H and N patients. Currently we are improving the results using cross validation.

  14. Network Maps

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

    Network Maps Engineering Services The Network Network Maps Network Traffic Volume Historical Network Maps Network Facts & Stats Connected Sites Peering Connections ESnet...

  15. Current Dosing Paradigm for Stereotactic Radiosurgery Alone After Surgical Resection of Brain Metastases Needs to Be Optimized for Improved Local Control

    SciTech Connect (OSTI)

    Prabhu, Roshan; Shu, Hui-Kuo; Hadjipanayis, Constantinos; Dhabaan, Anees; Hall, William; Raore, Bethwel; Olson, Jeffrey; Curran, Walter; Oyesiku, Nelson; Crocker, Ian

    2012-05-01

    Purpose: To describe the use of radiosurgery (RS) alone to the resection cavity after resection of brain metastases as an alternative to adjuvant whole-brain radiotherapy (WBRT). Methods and Materials: Sixty-two patients with 64 cavities were treated with linear accelerator-based RS alone to the resection cavity after surgical removal of brain metastases between March 2007 and August 2010. Fifty-two patients (81%) had a gross total resection. Median cavity volume was 8.5 cm{sup 3}. Forty-four patients (71%) had a single metastasis. Median marginal and maximum doses were 18 Gy and 20.4 Gy, respectively. Sixty-one cavities (95%) had gross tumor volume to planning target volume expansion of {>=}1 mm. Results: Six-month and 1-year actuarial local recurrence rates were 14% and 22%, respectively, with a median follow-up period of 9.7 months. Six-month and 1-year actuarial distant brain recurrence, total intracranial recurrence, and freedom from WBRT rates were 31% and 51%, 41% and 63%, and 91% and 74%, respectively. The symptomatic cavity radiation necrosis rate was 8%, with 2 patients (3%) undergoing surgery. Of the 11 local failures, 8 were in-field, 1 was marginal, and 2 were both (defined as in-field if {>=}90% of recurrence within the prescription isodose and marginal if {>=}90% outside of the prescription isodose). Conclusions: The high rate of in-field cavity failure suggests that geographic misses with highly conformal RS are not a major contributor to local recurrence. The current dosing regimen derived from Radiation Therapy Oncology Group protocol 90-05 should be optimized in this patient population before any direct comparison with WBRT.

  16. Network Activity

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

    Statistics Network Activity Network Activity PDSF Network Uplinks to NERSC (dual 10 Gbps) NERSC Uplink to ESnet Last edited: 2011-03-31 22:20:59...

  17. MO-G-17A-07: Improved Image Quality in Brain F-18 FDG PET Using Penalized-Likelihood Image Reconstruction Via a Generalized Preconditioned Alternating Projection Algorithm: The First Patient Results

    SciTech Connect (OSTI)

    Schmidtlein, CR; Beattie, B; Humm, J; Li, S; Wu, Z; Xu, Y; Zhang, J; Shen, L; Vogelsang, L; Feiglin, D; Krol, A

    2014-06-15

    Purpose: To investigate the performance of a new penalized-likelihood PET image reconstruction algorithm using the 1{sub 1}-norm total-variation (TV) sum of the 1st through 4th-order gradients as the penalty. Simulated and brain patient data sets were analyzed. Methods: This work represents an extension of the preconditioned alternating projection algorithm (PAPA) for emission-computed tomography. In this new generalized algorithm (GPAPA), the penalty term is expanded to allow multiple components, in this case the sum of the 1st to 4th order gradients, to reduce artificial piece-wise constant regions (“staircase” artifacts typical for TV) seen in PAPA images penalized with only the 1st order gradient. Simulated data were used to test for “staircase” artifacts and to optimize the penalty hyper-parameter in the root-mean-squared error (RMSE) sense. Patient FDG brain scans were acquired on a GE D690 PET/CT (370 MBq at 1-hour post-injection for 10 minutes) in time-of-flight mode and in all cases were reconstructed using resolution recovery projectors. GPAPA images were compared PAPA and RMSE-optimally filtered OSEM (fully converged) in simulations and to clinical OSEM reconstructions (3 iterations, 32 subsets) with 2.6 mm XYGaussian and standard 3-point axial smoothing post-filters. Results: The results from the simulated data show a significant reduction in the 'staircase' artifact for GPAPA compared to PAPA and lower RMSE (up to 35%) compared to optimally filtered OSEM. A simple power-law relationship between the RMSE-optimal hyper-parameters and the noise equivalent counts (NEC) per voxel is revealed. Qualitatively, the patient images appear much sharper and with less noise than standard clinical images. The convergence rate is similar to OSEM. Conclusions: GPAPA reconstructions using the 1{sub 1}-norm total-variation sum of the 1st through 4th-order gradients as the penalty show great promise for the improvement of image quality over that currently achieved with clinical OSEM reconstructions.

  18. Cross-linked structure of network evolution

    SciTech Connect (OSTI)

    Bassett, Danielle S.; Wymbs, Nicholas F.; Grafton, Scott T.; Porter, Mason A.; CABDyN Complexity Centre, University of Oxford, Oxford, OX1 1HP ; Mucha, Peter J.; Department of Applied Physical Sciences, University of North Carolina, Chapel Hill, North Carolina 27599

    2014-03-15

    We study the temporal co-variation of network co-evolution via the cross-link structure of networks, for which we take advantage of the formalism of hypergraphs to map cross-link structures back to network nodes. We investigate two sets of temporal network data in detail. In a network of coupled nonlinear oscillators, hyperedges that consist of network edges with temporally co-varying weights uncover the driving co-evolution patterns of edge weight dynamics both within and between oscillator communities. In the human brain, networks that represent temporal changes in brain activity during learning exhibit early co-evolution that then settles down with practice. Subsequent decreases in hyperedge size are consistent with emergence of an autonomous subgraph whose dynamics no longer depends on other parts of the network. Our results on real and synthetic networks give a poignant demonstration of the ability of cross-link structure to uncover unexpected co-evolution attributes in both real and synthetic dynamical systems. This, in turn, illustrates the utility of analyzing cross-links for investigating the structure of temporal networks.

  19. Better Buildings Residential Network: Lessons Learned: Peer Exchange...

    Energy Savers [EERE]

    Identify Other Home Improvement Interests Timing home energy upgrades to occur when homeowners have other areas of interest on the brain can be a savvy business model. Through ...

  20. Organizations and Networks | Open Energy Information

    Open Energy Info (EERE)

    Network (CLEAN) CLEAN aims to improve communication and coordination by bringing together national and international organizations that are assisting developing countries with...

  1. Microsystem process networks

    DOE Patents [OSTI]

    Wegeng, Robert S. (Richland, WA); TeGrotenhuis, Ward E. (Kennewick, WA); Whyatt, Greg A. (West Richland, WA)

    2007-09-18

    Various aspects and applications of microsystem process networks are described. The design of many types of Microsystems can be improved by ortho-cascading mass, heat, or other unit process operations. Microsystems having energetically efficient microchannel heat exchangers are also described. Detailed descriptions of numerous design features in microcomponent systems are also provided.

  2. Microsystem process networks

    DOE Patents [OSTI]

    Wegeng, Robert S [Richland, WA; TeGrotenhuis, Ward E [Kennewick, WA; Whyatt, Greg A [West Richland, WA

    2010-01-26

    Various aspects and applications or microsystem process networks are described. The design of many types of microsystems can be improved by ortho-cascading mass, heat, or other unit process operations. Microsystems having energetically efficient microchannel heat exchangers are also described. Detailed descriptions of numerous design features in microcomponent systems are also provided.

  3. Microsystem process networks

    DOE Patents [OSTI]

    Wegeng, Robert S. (Richland, WA); TeGrotenhuis, Ward E. (Kennewick, WA); Whyatt, Greg A. (West Richland, WA)

    2006-10-24

    Various aspects and applications of microsystem process networks are described. The design of many types of microsystems can be improved by ortho-cascading mass, heat, or other unit process operations. Microsystems having exergetically efficient microchannel heat exchangers are also described. Detailed descriptions of numerous design features in microcomponent systems are also provided.

  4. Reducing Cost Barriers to Energy Efficiency Improvements (201)

    Broader source: Energy.gov [DOE]

    Better Buildings Residential Network Peer Exchange Call Series: On Bill Financing: Reducing Cost Barriers to Energy Efficiency Improvements (201)

  5. Network Policies

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

    Clear violations of the policy which are not promptly remedied by the offending member organization may result in loss of network access. Depending on the nature of the...

  6. Reducing Cost Barriers to Energy Efficiency Improvements (201...

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

    Reducing Cost Barriers to Energy Efficiency Improvements (201) Reducing Cost Barriers to Energy Efficiency Improvements (201) Better Buildings Residential Network Peer Exchange...

  7. Improved Electrical Contact For Dowhhole Drilling Networks

    DOE Patents [OSTI]

    Hall, David R.; Hall, Jr., H. Tracy; Pixton, David S.; Dahlgren, Scott; Fox, Joe; Sneddon, Cameron

    2005-08-16

    An electrical contact system for transmitting information across tool joints while minimizing signal reflections that occur at the tool joints includes a first electrical contact comprising an annular resilient material. An annular conductor is embedded within the annular resilient material and has a surface exposed from the annular resilient material. A second electrical contact is provided that is substantially equal to the first electrical contact. Likewise, the second electrical contact has an annular resilient material and an annular conductor. The two electrical contacts configured to contact one another such that the annular conductors of each come into physical contact. The annular resilient materials of each electrical contact each have dielectric characteristics and dimensions that are adjusted to provide desired impedance to the electrical contacts.

  8. SU-E-T-51: Bayesian Network Models for Radiotherapy Error Detection

    SciTech Connect (OSTI)

    Kalet, A; Phillips, M; Gennari, J

    2014-06-01

    Purpose: To develop a probabilistic model of radiotherapy plans using Bayesian networks that will detect potential errors in radiation delivery. Methods: Semi-structured interviews with medical physicists and other domain experts were employed to generate a set of layered nodes and arcs forming a Bayesian Network (BN) which encapsulates relevant radiotherapy concepts and their associated interdependencies. Concepts in the final network were limited to those whose parameters are represented in the institutional database at a level significant enough to develop mathematical distributions. The concept-relation knowledge base was constructed using the Web Ontology Language (OWL) and translated into Hugin Expert Bayes Network files via the the RHugin package in the R statistical programming language. A subset of de-identified data derived from a Mosaiq relational database representing 1937 unique prescription cases was processed and pre-screened for errors and then used by the Hugin implementation of the Estimation-Maximization (EM) algorithm for machine learning all parameter distributions. Individual networks were generated for each of several commonly treated anatomic regions identified by ICD-9 neoplasm categories including lung, brain, lymphoma, and female breast. Results: The resulting Bayesian networks represent a large part of the probabilistic knowledge inherent in treatment planning. By populating the networks entirely with data captured from a clinical oncology information management system over the course of several years of normal practice, we were able to create accurate probability tables with no additional time spent by experts or clinicians. These probabilistic descriptions of the treatment planning allow one to check if a treatment plan is within the normal scope of practice, given some initial set of clinical evidence and thereby detect for potential outliers to be flagged for further investigation. Conclusion: The networks developed here support the use of probabilistic models into clinical chart checking for improved detection of potential errors in RT plans.

  9. Nothing But Networking for Residential Network Members

    Broader source: Energy.gov [DOE]

    Better Buildings Residential Network Peer Exchange Call: Nothing But Networking for Residential Network Members, Call Slides and Discussion Summary, March 12, 2015.

  10. Better Buildings Network View, May 2015

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

    Better Buildings Network View News From the Field May 2015 Nearly 50 Home Performance with ENERGY STAR ® Sponsors Join the Residential Network The U.S. Department of Energy's (DOE's) Home Performance with ENERGY STAR (HPwES) program announced this month that its 49 Sponsors will be considered members of the Better Buildings Residential Network and begin to receive Network membership benefits. The goal of Home Performance with ENERGY STAR is to help homeowners improve the efficiency and comfort

  11. Network Bandwidth Utilization Forecast Model on High Bandwidth Network

    SciTech Connect (OSTI)

    Yoo, Wucherl; Sim, Alex

    2014-07-07

    With the increasing number of geographically distributed scientific collaborations and the scale of the data size growth, it has become more challenging for users to achieve the best possible network performance on a shared network. We have developed a forecast model to predict expected bandwidth utilization for high-bandwidth wide area network. The forecast model can improve the efficiency of resource utilization and scheduling data movements on high-bandwidth network to accommodate ever increasing data volume for large-scale scientific data applications. Univariate model is developed with STL and ARIMA on SNMP path utilization data. Compared with traditional approach such as Box-Jenkins methodology, our forecast model reduces computation time by 83.2percent. It also shows resilience against abrupt network usage change. The accuracy of the forecast model is within the standard deviation of the monitored measurements.

  12. Exploiting Network Parallelism

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

    Exploiting Network Parallelism for Improving Data Transfer Performance Dan Gunter ∗ , Raj Kettimuthu † , Ezra Kissel ‡ , Martin Swany ‡ , Jun Yi § , Jason Zurawski ¶ ∗ Advanced Computing for Science Department, Lawrence Berkeley National Laboratory, Berkeley, CA † Mathematics and Computer Science Division, Argonne National Laboratory Argonne, IL ‡ School of Informatics and Computing, Indiana University, Bloomington, IN § Computation Institute, University of Chicago/Argonne

  13. Transactional Network Overview

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

    Transactional Network Overview 2014 Building Technologies Office Peer Review Manage End-Use Loads Help to Maintain Reliability Accommodate Millions of Electric Vehicles Help Integration of Renewables Improve Operational Efficiency of Building Systems Srinivas Katipamula, Srinivas.Katipamula@pnnl.gov, Pacific Northwest National Laboratory Project Summary Timeline: Start date: January 2013 Planned end date: 2016 Key Milestones 1. Public release of VOLTTRON 2.0; 10/2014 2. Complete identification

  14. Phoebus: Network Middleware for Next-Generation Network Computing

    SciTech Connect (OSTI)

    Martin Swany

    2012-06-16

    The Phoebus project investigated algorithms, protocols, and middleware infrastructure to improve end-to-end performance in high speed, dynamic networks. The Phoebus system essentially serves as an adaptation point for networks with disparate capabilities or provisioning. This adaptation can take a variety of forms including acting as a provisioning agent across multiple signaling domains, providing transport protocol adaptation points, and mapping between distributed resource reservation paradigms and the optical network control plane. We have successfully developed the system and demonstrated benefits. The Phoebus system was deployed in Internet2 and in ESnet, as well as in GEANT2, RNP in Brazil and over international links to Korea and Japan. Phoebus is a system that implements a new protocol and associated forwarding infrastructure for improving throughput in high-speed dynamic networks. It was developed to serve the needs of large DOE applications on high-performance networks. The idea underlying the Phoebus model is to embed Phoebus Gateways (PGs) in the network as on-ramps to dynamic circuit networks. The gateways act as protocol translators that allow legacy applications to use dedicated paths with high performance.

  15. Nothing But Networking for Residential Network Members | Department...

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

    Nothing But Networking for Residential Network Members Nothing But Networking for Residential Network Members Better Buildings Residential Network Peer Exchange Call: Nothing But...

  16. HPSS Yearly Network Traffic

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

    HPSS Yearly Network Traffic HPSS Yearly Network Traffic Yearly Summary of IO Traffic Between Storage and Network Destinations These bar charts show the total transfer traffic for...

  17. Shorter-Course Whole-Brain Radiotherapy for Brain Metastases in Elderly Patients

    SciTech Connect (OSTI)

    Rades, Dirk; Evers, Jasmin N.; Veninga, Theo; Stalpers, Lukas J.A.; Lohynska, Radka; Schild, Steven E.

    2011-11-15

    Purpose: Many patients with brain metastases receive whole-brain radiotherapy (WBRT) alone. Using 10 Multiplication-Sign 3 Gy in 2 weeks is the standard regimen in most centers. Regarding the extraordinarily poor survival prognosis of elderly patients with multiple brain metastases, a shorter WBRT regimen would be preferable. This study compared 10 Multiplication-Sign 3 Gy with 5 Multiplication-Sign 4 Gy in elderly patients ({>=}65 years). Methods and Materials: Data from 455 elderly patients who received WBRT alone for brain metastases were retrospectively analyzed. Survival and local (= intracerebral) control of 293 patients receiving 10 Multiplication-Sign 3 Gy were compared with 162 patients receiving 5 Multiplication-Sign 4 Gy. Eight additional potential prognostic factors were investigated including age, gender, Karnofsky performance score (KPS), primary tumor, number of brain metastases, interval from tumor diagnosis to WBRT, extracerebral metastases, and recursive partitioning analysis (RPA) class. Results: The 6-month overall survival rates were 29% after 5 Multiplication-Sign 4 Gy and 21% after 10 Multiplication-Sign 3 Gy (p = 0.020). The 6-month local control rates were 12% and 10%, respectively (p = 0.32). On multivariate analysis, improved overall survival was associated with KPS {>=} 70 (p < 0.001), only one to three brain metastases (p = 0.029), no extracerebral metastasis (p = 0.012), and lower RPA class (p < 0.001). Improved local control was associated with KPS {>=} 70 (p < 0.001), breast cancer (p = 0.029), and lower RPA class (p < 0.001). Conclusions: Shorter-course WBRT with 5 Multiplication-Sign 4 Gy was not inferior to 10 Multiplication-Sign 3 Gy with respect to overall survival or local control in elderly patients. 5 Multiplication-Sign 4 Gy appears preferable for the majority of these patients.

  18. NetworkX

    Energy Science and Technology Software Center (OSTI)

    2004-05-17

    NetworkX (abbreviated NX in the software and documentation) is a package for studying network structure using graph theory.

  19. network delithiation

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

    network delithiation - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management Programs Advanced

  20. Gateway:Coordinated Low Emissions Assistance Network (CLEAN)...

    Open Energy Info (EERE)

    improve efficiency and enhance coordination of LEDS activities. CLEAN falls under the umbrella of the LEDS Global Partnership as a network of practitioners from around the world...

  1. Efficiency Improvements

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

    that comprised the 120-Day Study implementation plan," said NIF Facility Manager Doug Larson. "It not only incorporated improving NIF's efficiency and shot rate, it also provides...

  2. Groundwater Monitoring Network

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

    Groundwater Monitoring Network Groundwater Monitoring Network The network includes 92 natural sources, 102 regional aquifer wells, 41 intermediate-depth wells and springs, and 67 wells in alluvium in canyons. August 1, 2013 Map of LANL's groundwater monitoring network Map of LANL's groundwater monitoring network

  3. Rapid brain scanning radiopharmaceutical

    DOE Patents [OSTI]

    Sargent, T.W. III; Shulgin, A.T.; Mathis, C.A.

    1987-03-03

    A method for detecting the blood flow in animals, particularly in the brain, is provided wherein a detectable amount of a novel radioactive compound of the formula 1 is administered to one animal: as given in figure in patent wherein R[sub 1] and R[sub 2] are independently alkyl of 1 to 6 carbon atoms or benzyl; R[sub 3] is alkyl of 1 to 6 carbon atoms, benzyl, cyclopropylalkyl of 4 to 6 carbon atoms, or cyanoalkyl of 2 to 6 carbon atoms; R[sub 4] is hydrogen, benzyl or alkyl of 1 to 6 carbon atoms; with the provisos that R[sub 4] is not isopropyl and when R[sub 4] is methyl, R[sub 3] is not benzyl; and X is a radioactive halogen. 2 figs.

  4. Rapid brain scanning radiopharmaceutical

    DOE Patents [OSTI]

    Sargent, III, Thornton W.; Shulgin, Alexander T.; Mathis, Chester A.

    1987-01-01

    A method for detecting the blood flow in animals, particularly in the brain, is provided wherein a detectable amount of a novel radioactive compound of the formula I is administered to one animal: ##STR1## wherein R.sub.1 and R.sub.2 are independently alkyl of 1 to 6 carbon atoms or benzyl; R.sub.3 is alkyl of 1 to 6 carbon atoms, benzyl, cyclopropylalkyl of 4 to 6 carbon atoms, or cyanoalkyl of 2 to 6 carbon atoms; R.sub.4 is hydrogen, benzyl or alkyl of 1 to 6 carbon atoms; with the provisos that R.sub.4 is not isopropyl and when R.sub.4 is methyl, R.sub.3 is not benzyl; and X is a radioactive halogen.

  5. Interconnection networks

    DOE Patents [OSTI]

    Faber, V.; Moore, J.W.

    1988-06-20

    A network of interconnected processors is formed from a vertex symmetric graph selected from graphs GAMMA/sub d/(k) with degree d, diameter k, and (d + 1)exclamation/ (d /minus/ k + 1)exclamation processors for each d greater than or equal to k and GAMMA/sub d/(k, /minus/1) with degree d /minus/ 1, diameter k + 1, and (d + 1)exclamation/(d /minus/ k + 1)exclamation processors for each d greater than or equal to k greater than or equal to 4. Each processor has an address formed by one of the permutations from a predetermined sequence of letters chosen a selected number of letters at a time, and an extended address formed by appending to the address the remaining ones of the predetermined sequence of letters. A plurality of transmission channels is provided from each of the processors, where each processor has one less channel than the selected number of letters forming the sequence. Where a network GAMMA/sub d/(k, /minus/1) is provided, no processor has a channel connected to form an edge in a direction delta/sub 1/. Each of the channels has an identification number selected from the sequence of letters and connected from a first processor having a first extended address to a second processor having a second address formed from a second extended address defined by moving to the front of the first extended address the letter found in the position within the first extended address defined by the channel identification number. The second address is then formed by selecting the first elements of the second extended address corresponding to the selected number used to form the address permutations. 9 figs.

  6. Solar Brain Srl | Open Energy Information

    Open Energy Info (EERE)

    Brain Srl Jump to: navigation, search Name: Solar Brain Srl Place: Rome, Italy Zip: 189 Sector: Solar Product: Rome-based solar and alternative energy company. References: Solar...

  7. Brain Receptor Structures Key to Future Therapeutics

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

    Brain Receptor Structures Key to Future Therapeutics Print With an aging population in ... diseases affecting the brain and its ability to make new connections and recall memories. ...

  8. Brain Receptor Structures Key to Future Therapeutics

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

    Brain Receptor Structures Key to Future Therapeutics Brain Receptor Structures Key to Future Therapeutics Print Wednesday, 28 January 2015 00:00 With an aging population in ...

  9. System and method for networking electrochemical devices

    DOE Patents [OSTI]

    Williams, Mark C. (Morgantown, WV); Wimer, John G. (Morgantown, WV); Archer, David H. (Pittsburgh, PA)

    1995-01-01

    An improved electrochemically active system and method including a plurality of electrochemical devices, such as fuel cells and fluid separation devices, in which the anode and cathode process-fluid flow chambers are connected in fluid-flow arrangements so that the operating parameters of each of said plurality of electrochemical devices which are dependent upon process-fluid parameters may be individually controlled to provide improved operating efficiency. The improvements in operation include improved power efficiency and improved fuel utilization in fuel cell power generating systems and reduced power consumption in fluid separation devices and the like through interstage process fluid parameter control for series networked electrochemical devices. The improved networking method includes recycling of various process flows to enhance the overall control scheme.

  10. High Performance Network Monitoring

    SciTech Connect (OSTI)

    Martinez, Jesse E

    2012-08-10

    Network Monitoring requires a substantial use of data and error analysis to overcome issues with clusters. Zenoss and Splunk help to monitor system log messages that are reporting issues about the clusters to monitoring services. Infiniband infrastructure on a number of clusters upgraded to ibmon2. ibmon2 requires different filters to report errors to system administrators. Focus for this summer is to: (1) Implement ibmon2 filters on monitoring boxes to report system errors to system administrators using Zenoss and Splunk; (2) Modify and improve scripts for monitoring and administrative usage; (3) Learn more about networks including services and maintenance for high performance computing systems; and (4) Gain a life experience working with professionals under real world situations. Filters were created to account for clusters running ibmon2 v1.0.0-1 10 Filters currently implemented for ibmon2 using Python. Filters look for threshold of port counters. Over certain counts, filters report errors to on-call system administrators and modifies grid to show local host with issue.

  11. Damselfly Network Simulator

    Energy Science and Technology Software Center (OSTI)

    2014-04-01

    Damselfly is a model-based parallel network simulator. It can simulate communication patterns of High Performance Computing applications on different network topologies. It outputs steady-state network traffic for a communication pattern, which can help in studying network congestion and its impact on performance.

  12. Analysis of brain patterns using temporal measures

    SciTech Connect (OSTI)

    Georgopoulos, Apostolos

    2015-08-11

    A set of brain data representing a time series of neurophysiologic activity acquired by spatially distributed sensors arranged to detect neural signaling of a brain (such as by the use of magnetoencephalography) is obtained. The set of brain data is processed to obtain a dynamic brain model based on a set of statistically-independent temporal measures, such as partial cross correlations, among groupings of different time series within the set of brain data. The dynamic brain model represents interactions between neural populations of the brain occurring close in time, such as with zero lag, for example. The dynamic brain model can be analyzed to obtain the neurophysiologic assessment of the brain. Data processing techniques may be used to assess structural or neurochemical brain pathologies.

  13. HPSS Yearly Network Traffic

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

    HPSS Yearly Network Traffic HPSS Yearly Network Traffic Yearly Summary of I/O Traffic Between Storage and Network Destinations These bar charts show the total transfer traffic for each year between storage and network destinations (systems within and outside of NERSC). Traffic for the current year is an estimate derived by scaling the known months traffic up to 12 months. The years shown are calendar years. The first graph shows the overall growth in network traffic to storage over the years.

  14. Benefits of Better Buildings Residential Network Reporting |...

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

    & Publications Better Buildings Residential Network Orientation Better Buildings Residential Network Orientation Webinar Nothing But Networking for Residential Network Members...

  15. Valley Entrepreneurs' Network (VEN) Monthly Network Meeting

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

    Login Event Description An evening of exciting enterprise networking with like-minded entrepreneurs. For more information, contact Alejandro, VEN Coordinator, at (505) 410-0959...

  16. BrainMap `95 workshop

    SciTech Connect (OSTI)

    1995-12-31

    The fourth annual BrainMap workshop was held at La Mansion del Rio Hotel in San Antonio December 3--4, 1995. The conference title was ``Human Brain Mapping and Modeling.`` The meeting was attended by 137 registered participants and 30 observers from 82 institutions representing 12 countries. The meeting focused on the technical issues associated with brain mapping and modeling. A total of 23 papers were presented covering the following topics: spatial normalization and registration; functional image analysis; metanalysis and modeling; and new horizons in biological databases. The full program with abstracts was available on the Research Imaging Center`s web site. A book will be published by John Wiley and Sons prior to the end of 1998.

  17. Improved aethalometer

    DOE Patents [OSTI]

    Hansen, A.D.

    1988-01-25

    An improved aethalometer having a single light source and a single light detector and two light paths from the light source to the light detector. A quartz fiber filter is inserted in the device, the filter having a collection area in one light path and a reference area in the other light path. A gas flow path through the aethalometer housing allows ambient air to flow through the collection area of the filter so that aerosol particles can be collected on the filter. A rotating disk with an opening therethrough allows light for the light source to pass alternately through the two light paths. The voltage output of the detector is applied to a VCO and the VCO pulses for light transmission separately through the two light paths, are counted and compared to determine the absorption coefficient of the collected aerosol particles. 5 figs.

  18. Network II Database

    Energy Science and Technology Software Center (OSTI)

    1994-11-07

    The Oak Ridge National Laboratory (ORNL) Rail and Barge Network II Database is a representation of the rail and barge system of the United States. The network is derived from the Federal Rail Administration (FRA) rail database.

  19. Class network routing

    DOE Patents [OSTI]

    Bhanot, Gyan (Princeton, NJ); Blumrich, Matthias A. (Ridgefield, CT); Chen, Dong (Croton On Hudson, NY); Coteus, Paul W. (Yorktown Heights, NY); Gara, Alan G. (Mount Kisco, NY); Giampapa, Mark E. (Irvington, NY); Heidelberger, Philip (Cortlandt Manor, NY); Steinmacher-Burow, Burkhard D. (Mount Kisco, NY); Takken, Todd E. (Mount Kisco, NY); Vranas, Pavlos M. (Bedford Hills, NY)

    2009-09-08

    Class network routing is implemented in a network such as a computer network comprising a plurality of parallel compute processors at nodes thereof. Class network routing allows a compute processor to broadcast a message to a range (one or more) of other compute processors in the computer network, such as processors in a column or a row. Normally this type of operation requires a separate message to be sent to each processor. With class network routing pursuant to the invention, a single message is sufficient, which generally reduces the total number of messages in the network as well as the latency to do a broadcast. Class network routing is also applied to dense matrix inversion algorithms on distributed memory parallel supercomputers with hardware class function (multicast) capability. This is achieved by exploiting the fact that the communication patterns of dense matrix inversion can be served by hardware class functions, which results in faster execution times.

  20. BER Science Network Requirements

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

    BER Science Network Requirements Report of the Biological and Environmental Research Network Requirements Workshop Conducted July 26 and 27, 2007 BER Science Network Requirements Workshop Biological and Environmental Research Program Office, DOE Office of Science Energy Sciences Network Bethesda, MD - July 26 and 27, 2007 ESnet is funded by the US Dept. of Energy, Office of Science, Advanced Scientific Computing Research (ASCR) program. Dan Hitchcock is the ESnet Program Manager. ESnet is

  1. BES Science Network Requirements

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

    Network Requirements Report of the Basic Energy Sciences Network Requirements Workshop Conducted June 4-5, 2007 BES Science Network Requirements Workshop Basic Energy Sciences Program Office, DOE Office of Science Energy Sciences Network Washington, DC - June 4 and 5, 2007 ESnet is funded by the US Dept. of Energy, Office of Science, Advanced Scientific Computing Research (ASCR) program. Dan Hitchcock is the ESnet Program Manager. ESnet is operated by Lawrence Berkeley National Laboratory, which

  2. Calorimetry Network Program

    Energy Science and Technology Software Center (OSTI)

    1998-01-30

    This is a Windows NT based program to run the SRTC designed calorimeters. The network version can communicate near real time data and final data values over the network. This version, due to network specifics, can function in a stand-alone operation also.

  3. A Designed Protein Maps Brain Activity

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

    A Designed Protein Maps Brain Activity Print A team of scientists from the Howard Hughes ... a fluorescent protein (CaMPARI) that allows the permanent marking of active brain cells. ...

  4. 6.20 Mapping Human Brain Function

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

    0 612011 6.20 Mapping Human Brain Function Many mysteries of the human brain have been unraveled by positron emission tomography (PET), an imaging tool used worldwide to diagnose ...

  5. The Brain: Key To a Better Computer

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

    Brain: Key To a Better Computer - Sandia Energy Energy Search Icon Sandia Home Locations ... Twitter Google + Vimeo GovDelivery SlideShare The Brain: Key To a Better Computer Home...

  6. COLLOQUIUM: Your Restless Brain: Changing Continually Throughout...

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

    Brain: Changing Continually Throughout the Day and Night Professor Barry Jacobs Princeton University Presentation: File WC02APR2014BJacob.pptx As you read this, your brain is ...

  7. A Designed Protein Maps Brain Activity

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

    A Designed Protein Maps Brain Activity A Designed Protein Maps Brain Activity Print Wednesday, 28 October 2015 00:00 A team of scientists from the Howard Hughes Medical Institute's ...

  8. Scientists examine proton radiography of brain mockup

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

    Proton Radiography Of Brain Mockup Scientists examine proton radiography of brain mockup The use of such a high-energy proton beam is ideal for imaging small tumors within patients ...

  9. Visualizing Brain Metals in Health and Disease

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

    Visualizing Brain Metals in Health and Disease figure 1 Fig. 1. Rapid-scanning x-ray ... The beam intensity was monitored with a N2-filled ion chamber (I0). The brain slice was ...

  10. Brain Receptor Structures Key to Future Therapeutics

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

    Brain Receptor Structures Key to Future Therapeutics Brain Receptor Structures Key to Future Therapeutics Print Wednesday, 28 January 2015 00:00 With an aging population in America, it is more important than ever to discover ways to treat or prevent diseases affecting the brain and its ability to make new connections and recall memories. Some of the most important players in the brain's normal function are the glutamate receptors, which are involved in nervous-system development and function.

  11. A Designed Protein Maps Brain Activity

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

    A Designed Protein Maps Brain Activity Print A team of scientists from the Howard Hughes Medical Institute's Janelia Research Campus designed and validated via x-ray crystallographic studies a fluorescent protein (CaMPARI) that allows the permanent marking of active brain cells. The protein was then used to study live changes via fluorescence in the active nerve cells in brains of fruit flies, zebrafish, and mice. The Neural Basis of Behavior Signals in our brains are propagated with voltage and

  12. A Designed Protein Maps Brain Activity

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

    A Designed Protein Maps Brain Activity Print A team of scientists from the Howard Hughes Medical Institute's Janelia Research Campus designed and validated via x-ray crystallographic studies a fluorescent protein (CaMPARI) that allows the permanent marking of active brain cells. The protein was then used to study live changes via fluorescence in the active nerve cells in brains of fruit flies, zebrafish, and mice. The Neural Basis of Behavior Signals in our brains are propagated with voltage and

  13. A Designed Protein Maps Brain Activity

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

    A Designed Protein Maps Brain Activity Print A team of scientists from the Howard Hughes Medical Institute's Janelia Research Campus designed and validated via x-ray crystallographic studies a fluorescent protein (CaMPARI) that allows the permanent marking of active brain cells. The protein was then used to study live changes via fluorescence in the active nerve cells in brains of fruit flies, zebrafish, and mice. The Neural Basis of Behavior Signals in our brains are propagated with voltage and

  14. A Designed Protein Maps Brain Activity

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

    A Designed Protein Maps Brain Activity A Designed Protein Maps Brain Activity Print Wednesday, 28 October 2015 00:00 A team of scientists from the Howard Hughes Medical Institute's Janelia Research Campus designed and validated via x-ray crystallographic studies a fluorescent protein (CaMPARI) that allows the permanent marking of active brain cells. The protein was then used to study live changes via fluorescence in the active nerve cells in brains of fruit flies, zebrafish, and mice. The Neural

  15. Enerlogics Networks | Open Energy Information

    Open Energy Info (EERE)

    Networks Name: Enerlogics Networks Place: Pittsburgh, Pennsylvania Product: buidling automation control systems to utility software solutions to telecommunication systems...

  16. Interconnecting PV on New York City's Secondary Network Distribution System

    SciTech Connect (OSTI)

    Anderson, K.; Coddington, M.; Burman, K.; Hayter, S.; Kroposki, B.; Watson, A.

    2009-12-01

    This study describes technical assistance provided by NREL to help New York City and Con Edison improve the interconnection of distributed PV systems on a secondary network distribution system.

  17. Ultra-wideband radar sensors and networks

    DOE Patents [OSTI]

    Leach, Jr., Richard R; Nekoogar, Faranak; Haugen, Peter C

    2013-08-06

    Ultra wideband radar motion sensors strategically placed in an area of interest communicate with a wireless ad hoc network to provide remote area surveillance. Swept range impulse radar and a heart and respiration monitor combined with the motion sensor further improves discrimination.

  18. Synchrotron radiation imaging is a powerful tool to image brain microvasculature

    SciTech Connect (OSTI)

    Zhang, Mengqi; Sun, Danni; Xie, Yuanyuan; Xia, Jian; Long, Hongyu; Hu, Kai; Xiao, Bo; Peng, Guanyun

    2014-03-15

    Synchrotron radiation (SR) imaging is a powerful experimental tool for micrometer-scale imaging of microcirculation in vivo. This review discusses recent methodological advances and findings from morphological investigations of cerebral vascular networks during several neurovascular pathologies. In particular, it describes recent developments in SR microangiography for real-time assessment of the brain microvasculature under various pathological conditions in small animal models. It also covers studies that employed SR-based phase-contrast imaging to acquire 3D brain images and provide detailed maps of brain vasculature. In addition, a brief introduction of SR technology and current limitations of SR sources are described in this review. In the near future, SR imaging could transform into a common and informative imaging modality to resolve subtle details of cerebrovascular function.

  19. National Highway Planning Network

    Energy Science and Technology Software Center (OSTI)

    1992-02-02

    NHPN, the National Highway Planning Network, is a database of major highways in the continental United States that is used for national-level analyses of highway transportation issues that require use of a network, such as studies of highway performance, network design, social and environmental impacts of transportation, vehicle routing and scheduling, and mapping. The network is based on a set of roadways digitized by the U. S. Geological Survey (USGS) from the 1980 National Atlasmore » and has been enhanced with additional roads, attribute detail, and topological error corrections to produce a true analytic network. All data have been derived from or checked against information obtained from state and Federal governmental agencies. Two files comprise this network: one describing links and the other nodes. This release, NHPN1.0, contains 44,960 links and 28,512 nodes representing approximately 380,000 miles of roadway.« less

  20. Reconfigureable network node

    DOE Patents [OSTI]

    Vanderveen, Keith B. (Tracy, CA); Talbot, Edward B. (Livermore, CA); Mayer, Laurence E. (Davis, CA)

    2008-04-08

    Nodes in a network having a plurality of nodes establish communication links with other nodes using available transmission media, as the ability to establish such links becomes available and desirable. The nodes predict when existing communications links will fail, become overloaded or otherwise degrade network effectiveness and act to establish substitute or additional links before the node's ability to communicate with the other nodes on the network is adversely affected. A node stores network topology information and programmed link establishment rules and criteria. The node evaluates characteristics that predict existing links with other nodes becoming unavailable or degraded. The node then determines whether it can form a communication link with a substitute node, in order to maintain connectivity with the network. When changing its communication links, a node broadcasts that information to the network. Other nodes update their stored topology information and consider the updated topology when establishing new communications links for themselves.

  1. Network Requirements Reviews

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

    Reviews Network Requirements Reviews Documents and Background Materials FAQ for Case Study Authors BER Requirements Review 2015 ASCR Requirements Review 2015 Previous...

  2. Energy Sciences Network (ESnet)

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

    making it the standard for research institutions today. Read More ESnet Releases Open Source Software from MyESnet Portal for Building Online Interactive Network Portals ESnet...

  3. Intrusion detection and monitoring for wireless networks.

    SciTech Connect (OSTI)

    Thomas, Eric D.; Van Randwyk, Jamie A.; Lee, Erik J.; Stephano, Amanda; Tabriz, Parisa; Pelon, Kristen; McCoy, Damon (University of Colorado, Boulder); Lodato, Mark; Hemingway, Franklin; Custer, Ryan P.; Averin, Dimitry; Franklin, Jason; Kilman, Dominique Marie

    2005-11-01

    Wireless computer networks are increasing exponentially around the world. They are being implemented in both the unlicensed radio frequency (RF) spectrum (IEEE 802.11a/b/g) and the licensed spectrum (e.g., Firetide [1] and Motorola Canopy [2]). Wireless networks operating in the unlicensed spectrum are by far the most popular wireless computer networks in existence. The open (i.e., proprietary) nature of the IEEE 802.11 protocols and the availability of ''free'' RF spectrum have encouraged many producers of enterprise and common off-the-shelf (COTS) computer networking equipment to jump into the wireless arena. Competition between these companies has driven down the price of 802.11 wireless networking equipment and has improved user experiences with such equipment. The end result has been an increased adoption of the equipment by businesses and consumers, the establishment of the Wi-Fi Alliance [3], and widespread use of the Alliance's ''Wi-Fi'' moniker to describe these networks. Consumers use 802.11 equipment at home to reduce the burden of running wires in existing construction, facilitate the sharing of broadband Internet services with roommates or neighbors, and increase their range of ''connectedness''. Private businesses and government entities (at all levels) are deploying wireless networks to reduce wiring costs, increase employee mobility, enable non-employees to access the Internet, and create an added revenue stream to their existing business models (coffee houses, airports, hotels, etc.). Municipalities (Philadelphia; San Francisco; Grand Haven, MI) are deploying wireless networks so they can bring broadband Internet access to places lacking such access; offer limited-speed broadband access to impoverished communities; offer broadband in places, such as marinas and state parks, that are passed over by traditional broadband providers; and provide themselves with higher quality, more complete network coverage for use by emergency responders and other municipal agencies. In short, these Wi-Fi networks are being deployed everywhere. Much thought has been and is being put into evaluating cost-benefit analyses of wired vs. wireless networks and issues such as how to effectively cover an office building or municipality, how to efficiently manage a large network of wireless access points (APs), and how to save money by replacing an Internet service provider (ISP) with 802.11 technology. In comparison, very little thought and money are being focused on wireless security and monitoring for security purposes.

  4. Landscape Characterization and Representativeness Analysis for Understanding Sampling Network Coverage

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Maddalena, Damian; Hoffman, Forrest; Kumar, Jitendra; Hargrove, William

    Sampling networks rarely conform to spatial and temporal ideals, often comprised of network sampling points which are unevenly distributed and located in less than ideal locations due to access constraints, budget limitations, or political conflict. Quantifying the global, regional, and temporal representativeness of these networks by quantifying the coverage of network infrastructure highlights the capabilities and limitations of the data collected, facilitates upscaling and downscaling for modeling purposes, and improves the planning efforts for future infrastructure investment under current conditions and future modeled scenarios. The work presented here utilizes multivariate spatiotemporal clustering analysis and representativeness analysis for quantitative landscape characterization and assessment of the Fluxnet, RAINFOR, and ForestGEO networks. Results include ecoregions that highlight patterns of bioclimatic, topographic, and edaphic variables and quantitative representativeness maps of individual and combined networks.

  5. Landscape Characterization and Representativeness Analysis for Understanding Sampling Network Coverage

    SciTech Connect (OSTI)

    Maddalena, Damian; Hoffman, Forrest; Kumar, Jitendra; Hargrove, William

    2014-08-01

    Sampling networks rarely conform to spatial and temporal ideals, often comprised of network sampling points which are unevenly distributed and located in less than ideal locations due to access constraints, budget limitations, or political conflict. Quantifying the global, regional, and temporal representativeness of these networks by quantifying the coverage of network infrastructure highlights the capabilities and limitations of the data collected, facilitates upscaling and downscaling for modeling purposes, and improves the planning efforts for future infrastructure investment under current conditions and future modeled scenarios. The work presented here utilizes multivariate spatiotemporal clustering analysis and representativeness analysis for quantitative landscape characterization and assessment of the Fluxnet, RAINFOR, and ForestGEO networks. Results include ecoregions that highlight patterns of bioclimatic, topographic, and edaphic variables and quantitative representativeness maps of individual and combined networks.

  6. Form:Networking Organization | Open Energy Information

    Open Energy Info (EERE)

    Networking Organization Jump to: navigation, search Add a Networking Organization Input your networking organization name below to add to the registry. If your networking...

  7. Collective network routing

    DOE Patents [OSTI]

    Hoenicke, Dirk

    2014-12-02

    Disclosed are a unified method and apparatus to classify, route, and process injected data packets into a network so as to belong to a plurality of logical networks, each implementing a specific flow of data on top of a common physical network. The method allows to locally identify collectives of packets for local processing, such as the computation of the sum, difference, maximum, minimum, or other logical operations among the identified packet collective. Packets are injected together with a class-attribute and an opcode attribute. Network routers, employing the described method, use the packet attributes to look-up the class-specific route information from a local route table, which contains the local incoming and outgoing directions as part of the specifically implemented global data flow of the particular virtual network.

  8. Brain Receptor Structures Key to Future Therapeutics

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

    Brain Receptor Structures Key to Future Therapeutics Print With an aging population in America, it is more important than ever to discover ways to treat or prevent diseases affecting the brain and its ability to make new connections and recall memories. Some of the most important players in the brain's normal function are the glutamate receptors, which are involved in nervous-system development and function. These molecules transmit signals between nerve cells and are critical to learning and

  9. Brain Receptor Structures Key to Future Therapeutics

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

    Brain Receptor Structures Key to Future Therapeutics Print With an aging population in America, it is more important than ever to discover ways to treat or prevent diseases affecting the brain and its ability to make new connections and recall memories. Some of the most important players in the brain's normal function are the glutamate receptors, which are involved in nervous-system development and function. These molecules transmit signals between nerve cells and are critical to learning and

  10. Brain Receptor Structures Key to Future Therapeutics

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

    Brain Receptor Structures Key to Future Therapeutics Print With an aging population in America, it is more important than ever to discover ways to treat or prevent diseases affecting the brain and its ability to make new connections and recall memories. Some of the most important players in the brain's normal function are the glutamate receptors, which are involved in nervous-system development and function. These molecules transmit signals between nerve cells and are critical to learning and

  11. Brain Receptor Structures Key to Future Therapeutics

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

    Brain Receptor Structures Key to Future Therapeutics Print With an aging population in America, it is more important than ever to discover ways to treat or prevent diseases affecting the brain and its ability to make new connections and recall memories. Some of the most important players in the brain's normal function are the glutamate receptors, which are involved in nervous-system development and function. These molecules transmit signals between nerve cells and are critical to learning and

  12. Synchronization in Complex Oscillator Networks and Smart Grids

    SciTech Connect (OSTI)

    Dorfler, Florian; Chertkov, Michael; Bullo, Francesco

    2012-07-24

    The emergence of synchronization in a network of coupled oscillators is a fascinating topic in various scientific disciplines. A coupled oscillator network is characterized by a population of heterogeneous oscillators and a graph describing the interaction among them. It is known that a strongly coupled and sufficiently homogeneous network synchronizes, but the exact threshold from incoherence to synchrony is unknown. Here we present a novel, concise, and closed-form condition for synchronization of the fully nonlinear, non-equilibrium, and dynamic network. Our synchronization condition can be stated elegantly in terms of the network topology and parameters, or equivalently in terms of an intuitive, linear, and static auxiliary system. Our results significantly improve upon the existing conditions advocated thus far, they are provably exact for various interesting network topologies and parameters, they are statistically correct for almost all networks, and they can be applied equally to synchronization phenomena arising in physics and biology as well as in engineered oscillator networks such as electric power networks. We illustrate the validity, the accuracy, and the practical applicability of our results in complex networks scenarios and in smart grid applications.

  13. RESIDENTIAL NETWORK MEMBERS UNITE TO FORM GREEN BANK NETWORK...

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

    Residential Network members Connecticut Green Bank and NY Green Bank, a division of Residential Network member New York State Energy Research and Development Authority, have helped ...

  14. A Designed Protein Maps Brain Activity

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

    A Designed Protein Maps Brain Activity Print A team of scientists from the Howard Hughes Medical Institute's Janelia Research Campus designed and validated via x-ray...

  15. Brain Receptor Structures Key to Future Therapeutics

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

    Brain Receptor Structures Key to Future Therapeutics Print With an aging population in America, it is more important than ever to discover ways to treat or prevent diseases...

  16. Advanced Network Toolkit for Assessments

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

    control system network * Compiles and correlates large amounts of network data with minimal risk of system latency or disruption * Assists compliance with NERC CIP standards * ...

  17. Thermal network reduction

    SciTech Connect (OSTI)

    Balcomb, J.D.

    1983-01-01

    A method is presented for reducing the number of elements required in a thermal network representation of a building. The method is based on matching the actual building response at two frequencies, the diurnal response and 3-day response. The procedure provides a straightforward methodology for combining all the various materials inside a discrete building zone into a few nodes while retaining a high degree of accuracy in the dynamic response. An example is given showing a comparison between a large network and the reduced network.

  18. Thermal network reduction

    SciTech Connect (OSTI)

    Balcomb, J.D.

    1983-06-01

    A method is presented for reducing the number of elements required in a thermal network representation of a building. The method is based on matching the actual building response at two frequencies, the diurnal response and 3-day response. The procedure provides a straightforward methodology for combining all the various materials inside a discrete building zone into a few nodes while retaining a high degree of accuracy in the dynamic response. An example is given showing a comparison between a large network and the reduced network.

  19. BES Science Network Requirements

    SciTech Connect (OSTI)

    Biocca, Alan; Carlson, Rich; Chen, Jackie; Cotter, Steve; Tierney, Brian; Dattoria, Vince; Davenport, Jim; Gaenko, Alexander; Kent, Paul; Lamm, Monica; Miller, Stephen; Mundy, Chris; Ndousse, Thomas; Pederson, Mark; Perazzo, Amedeo; Popescu, Razvan; Rouson, Damian; Sekine, Yukiko; Sumpter, Bobby; Dart, Eli; Wang, Cai-Zhuang -Z; Whitelam, Steve; Zurawski, Jason

    2011-02-01

    The Energy Sciences Network (ESnet) is the primary provider of network connectivityfor the US Department of Energy Office of Science (SC), the single largest supporter of basic research in the physical sciences in the United States. In support of the Office ofScience programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet to be a highly successful enabler of scientific discovery for over 20 years.

  20. NP Science Network Requirements

    SciTech Connect (OSTI)

    Dart, Eli; Rotman, Lauren; Tierney, Brian

    2011-08-26

    The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the U.S. Department of Energy (DOE) Office of Science (SC), the single largest supporter of basic research in the physical sciences in the United States. To support SC programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs it serves. This focus has helped ESnet to be a highly successful enabler of scientific discovery for over 20 years. In August 2011, ESnet and the Office of Nuclear Physics (NP), of the DOE SC, organized a workshop to characterize the networking requirements of the programs funded by NP. The requirements identified at the workshop are summarized in the Findings section, and are described in more detail in the body of the report.

  1. Energy Materials Network News

    Broader source: Energy.gov [DOE]

    Below are news stories and blog posts related to the Energy Materials Network (EMN) from the Energy Department and the Office of Energy Efficiency and Renewable Energy. Please see the Consortia and...

  2. Improved Microseismicity Detection During Newberry EGS Stimulations

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Templeton, Dennise

    2013-10-01

    Effective enhanced geothermal systems (EGS) require optimal fracture networks for efficient heat transfer between hot rock and fluid. Microseismic mapping is a key tool used to infer the subsurface fracture geometry. Traditional earthquake detection and location techniques are often employed to identify microearthquakes in geothermal regions. However, most commonly used algorithms may miss events if the seismic signal of an earthquake is small relative to the background noise level or if a microearthquake occurs within the coda of a larger event. Consequently, we have developed a set of algorithms that provide improved microearthquake detection. Our objective is to investigate the microseismicity at the DOE Newberry EGS site to better image the active regions of the underground fracture network during and immediately after the EGS stimulation. Detection of more microearthquakes during EGS stimulations will allow for better seismic delineation of the active regions of the underground fracture system. This improved knowledge of the reservoir network will improve our understanding of subsurface conditions, and allow improvement of the stimulation strategy that will optimize heat extraction and maximize economic return.

  3. Improved Microseismicity Detection During Newberry EGS Stimulations

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Templeton, Dennise

    2013-11-01

    Effective enhanced geothermal systems (EGS) require optimal fracture networks for efficient heat transfer between hot rock and fluid. Microseismic mapping is a key tool used to infer the subsurface fracture geometry. Traditional earthquake detection and location techniques are often employed to identify microearthquakes in geothermal regions. However, most commonly used algorithms may miss events if the seismic signal of an earthquake is small relative to the background noise level or if a microearthquake occurs within the coda of a larger event. Consequently, we have developed a set of algorithms that provide improved microearthquake detection. Our objective is to investigate the microseismicity at the DOE Newberry EGS site to better image the active regions of the underground fracture network during and immediately after the EGS stimulation. Detection of more microearthquakes during EGS stimulations will allow for better seismic delineation of the active regions of the underground fracture system. This improved knowledge of the reservoir network will improve our understanding of subsurface conditions, and allow improvement of the stimulation strategy that will optimize heat extraction and maximize economic return.

  4. Improved Microseismicity Detection During Newberry EGS Stimulations

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Templeton, Dennise

    Effective enhanced geothermal systems (EGS) require optimal fracture networks for efficient heat transfer between hot rock and fluid. Microseismic mapping is a key tool used to infer the subsurface fracture geometry. Traditional earthquake detection and location techniques are often employed to identify microearthquakes in geothermal regions. However, most commonly used algorithms may miss events if the seismic signal of an earthquake is small relative to the background noise level or if a microearthquake occurs within the coda of a larger event. Consequently, we have developed a set of algorithms that provide improved microearthquake detection. Our objective is to investigate the microseismicity at the DOE Newberry EGS site to better image the active regions of the underground fracture network during and immediately after the EGS stimulation. Detection of more microearthquakes during EGS stimulations will allow for better seismic delineation of the active regions of the underground fracture system. This improved knowledge of the reservoir network will improve our understanding of subsurface conditions, and allow improvement of the stimulation strategy that will optimize heat extraction and maximize economic return.

  5. System Provides Clear Brain Scans of Awake, Unrestrained Mice...

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

    System Provides Clear Brain Scans of Awake, Unrestrained Mice dynamic imaging of mice ... obtain detailed, functional images of the brain of a conscious mouse as it moves around. ...

  6. Other: Multiscale Simulation of Blood Flow in Brain Arteries...

    Office of Scientific and Technical Information (OSTI)

    Other: Multiscale Simulation of Blood Flow in Brain Arteries with an Aneurysm Citation Details Title: Multiscale Simulation of Blood Flow in Brain Arteries with an Aneurysm

  7. Using biomarkers to identify traumatic brain injury for soldiers...

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

    Using biomarkers to identify traumatic brain injury for soldiers, sports figures Using biomarkers to identify traumatic brain injury for soldiers, sports figures A new detection ...

  8. Brain teasers traveling exhibit opens at Los Alamos National...

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

    Brain teasers exhibit opens at museum Brain Teasers traveling exhibit opens at Los Alamos National Laboratory's Bradbury Science Museum The interactive exhibit is a collection of ...

  9. Traumatic Brain Injury Protection: Blast Pressure Sensors in...

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

    Find More Like This Return to Search Traumatic Brain Injury Protection: Blast Pressure ... Technology Marketing Summary The cost of treating traumatic brain injury (TBI) is ...

  10. Final Report on LDRD project 130784 : functional brain imaging...

    Office of Scientific and Technical Information (OSTI)

    brain imaging by tunable multi-spectral Event-Related Optical Signal (EROS). Citation Details In-Document Search Title: Final Report on LDRD project 130784 : functional brain ...

  11. Consciousness and the Social Brain | Princeton Plasma Physics...

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

    MBG Auditorium Consciousness and the Social Brain Professor Michael Graziano, Department ... Science on Saturday, January 10, 2015, "Consciousness and The Social Brain", Professor ...

  12. ESnet Network Operating System (ENOS)

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

    ENOS Experimental Network Testbeds Performance (perfSONAR) Software & Tools Development Data for Researchers Partnerships Publications Workshops Science Engagement Move your data Programs & Workshops Science Requirements Reviews Case Studies News & Publications ESnet News Publications and Presentations Galleries ESnet Awards and Honors Blog ESnet Live Home » Network R&D » Software-Defined Networking (SDN) » ENOS Network R&D Software-Defined Networking (SDN) ENOS

  13. Software-Defined Networking (SDN)

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

    ENOS Experimental Network Testbeds Performance (perfSONAR) Software & Tools Development Data for Researchers Partnerships Publications Workshops Science Engagement Move your data Programs & Workshops Science Requirements Reviews Case Studies News & Publications ESnet News Publications and Presentations Galleries ESnet Awards and Honors Blog ESnet Live Home » Network R&D » Software-Defined Networking (SDN) Network R&D Software-Defined Networking (SDN) ENOS Experimental

  14. Structure Learning and Statistical Estimation in Distribution Networks -

    Office of Scientific and Technical Information (OSTI)

    Part I (Technical Report) | SciTech Connect I Citation Details In-Document Search Title: Structure Learning and Statistical Estimation in Distribution Networks - Part I Traditionally power distribution networks are either not observable or only partially observable. This complicates development and implementation of new smart grid technologies, such as those related to demand response, outage detection and management, and improved load-monitoring. In this two part paper, inspired by

  15. High Density Sensor Network Development | The Ames Laboratory

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

    High Density Sensor Network Development

  16. Beneficial role of noise in artificial neural networks

    SciTech Connect (OSTI)

    Monterola, Christopher; Saloma, Caesar; Zapotocky, Martin

    2008-06-18

    We demonstrate enhancement of neural networks efficacy to recognize frequency encoded signals and/or to categorize spatial patterns of neural activity as a result of noise addition. For temporal information recovery, noise directly added to the receiving neurons allow instantaneous improvement of signal-to-noise ratio [Monterola and Saloma, Phys. Rev. Lett. 2002]. For spatial patterns however, recurrence is necessary to extend and homogenize the operating range of a feed-forward neural network [Monterola and Zapotocky, Phys. Rev. E 2005]. Finally, using the size of the basin of attraction of the networks learned patterns (dynamical fixed points), a procedure for estimating the optimal noise is demonstrated.

  17. Real-time method for establishing a detection map for a network of sensors

    DOE Patents [OSTI]

    Nguyen, Hung D; Koch, Mark W; Giron, Casey; Rondeau, Daniel M; Russell, John L

    2012-09-11

    A method for establishing a detection map of a dynamically configurable sensor network. This method determines an appropriate set of locations for a plurality of sensor units of a sensor network and establishes a detection map for the network of sensors while the network is being set up; the detection map includes the effects of the local terrain and individual sensor performance. Sensor performance is characterized during the placement of the sensor units, which enables dynamic adjustment or reconfiguration of the placement of individual elements of the sensor network during network set-up to accommodate variations in local terrain and individual sensor performance. The reconfiguration of the network during initial set-up to accommodate deviations from idealized individual sensor detection zones improves the effectiveness of the sensor network in detecting activities at a detection perimeter and can provide the desired sensor coverage of an area while minimizing unintentional gaps in coverage.

  18. Gas Main Sensor and Communications Network System

    SciTech Connect (OSTI)

    Hagen Schempf

    2006-05-31

    Automatika, Inc. was contracted by the Department of Energy (DOE) and with co-funding from the Northeast Gas Association (NGA), to develop an in-pipe natural gas prototype measurement and wireless communications system for assessing and monitoring distribution networks. This projected was completed in April 2006, and culminated in the installation of more than 2 dozen GasNet nodes in both low- and high-pressure cast-iron and steel mains owned by multiple utilities in the northeastern US. Utilities are currently logging data (off-line) and monitoring data in real time from single and multiple networked sensors over cellular networks and collecting data using wireless bluetooth PDA systems. The system was designed to be modular, using in-pipe sensor-wands capable of measuring, flow, pressure, temperature, water-content and vibration. Internal antennae allowed for the use of the pipe-internals as a waveguide for setting up a sensor network to collect data from multiple nodes simultaneously. Sensor nodes were designed to be installed with low- and no-blow techniques and tools. Using a multi-drop bus technique with a custom protocol, all electronics were designed to be buriable and allow for on-board data-collection (SD-card), wireless relaying and cellular network forwarding. Installation options afforded by the design included direct-burial and external polemounted variants. Power was provided by one or more batteries, direct AC-power (Class I Div.2) and solar-array. The utilities are currently in a data-collection phase and intend to use the collected (and processed) data to make capital improvement decisions, compare it to Stoner model predictions and evaluate the use of such a system for future expansion, technology-improvement and commercialization starting later in 2006.

  19. Case Studies-Financing Energy Improvements on Utility Bills | Department

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

    of Energy Case Studies-Financing Energy Improvements on Utility Bills Case Studies-Financing Energy Improvements on Utility Bills Hosted by Technical Assistance Program (TAP), the State and Local Energy Efficiency Action Network (SEE Action), and Lawrence Berkeley National Laboratory's Electricity Market and Policy Group, this webinar was the second of a two-part webinar series focused on the new report, Financing Energy Improvements on Utility Bills: Market Updates and Key Program Design

  20. Network topology mapper

    DOE Patents [OSTI]

    Quist, Daniel A. (Los Alamos, NM); Gavrilov, Eugene M. (Los Alamos, NM); Fisk, Michael E. (Jemez, NM)

    2008-01-15

    A method enables the topology of an acyclic fully propagated network to be discovered. A list of switches that comprise the network is formed and the MAC address cache for each one of the switches is determined. For each pair of switches, from the MAC address caches the remaining switches that see the pair of switches are located. For each pair of switches the remaining switches are determined that see one of the pair of switches on a first port and the second one of the pair of switches on a second port. A list of insiders is formed for every pair of switches. It is determined whether the insider for each pair of switches is a graph edge and adjacent ones of the graph edges are determined. A symmetric adjacency matrix is formed from the graph edges to represent the topology of the data link network.

  1. Treatment of Five or More Brain Metastases With Stereotactic Radiosurgery

    SciTech Connect (OSTI)

    Hunter, Grant K.; Suh, John H.; Reuther, Alwyn M.; Vogelbaum, Michael A.; Barnett, Gene H.; Angelov, Lilyana; Weil, Robert J.; Neyman, Gennady; Chao, Samuel T.

    2012-08-01

    Purpose: To examine the outcomes of patients with five or more brain metastases treated in a single session with stereotactic radiosurgery (SRS). Methods and Materials: Sixty-four patients with brain metastases treated with SRS to five or more lesions in a single session were reviewed. Primary disease type, number of lesions, Karnofsky performance score (KPS) at SRS, and status of primary and systemic disease at SRS were included. Patients were treated using dosing as defined by Radiation Therapy Oncology Group Protocol 90-05, with adjustments for critical structures. We defined prior whole-brain radiotherapy (WBRT) as WBRT completed >1 month before SRS and concurrent WBRT as WBRT completed within 1 month before or after SRS. Kaplan-Meier estimates and Cox proportional hazard regression were used to determine which patient and treatment factors predicted overall survival (OS). Results: The median OS after SRS was 7.5 months. The median KPS was 80 (range, 60-100). A KPS of {>=}80 significantly influenced OS (median OS, 4.8 months for KPS {<=}70 vs. 8.8 months for KPS {>=}80, p = 0.0097). The number of lesions treated did not significantly influence OS (median OS, 6.6 months for eight or fewer lesions vs. 9.9 months for more than eight, p = nonsignificant). Primary site histology did not significantly influence median OS. On multivariate Cox modeling, KPS and prior WBRT significantly predicted for OS. Whole-brain radiotherapy before SRS compared with concurrent WBRT significantly influenced survival, with a risk ratio of 0.423 (95% confidence interval 0.191-0.936, p = 0.0338). No significant differences were observed when no WBRT was compared with concurrent WBRT or when the no WBRT group was compared with prior WBRT. A KPS of {<=}70 predicted for poorer outcomes, with a risk ratio of 2.164 (95% confidence interval 1.157-4.049, p = 0.0157). Conclusions: Stereotactic radiosurgery to five or more brain lesions is an effective treatment option for patients with metastatic cancer, especially for patients previously treated with WBRT. A KPS of {>=}80 predicts for an improved outcome.

  2. Structural connectivity in schizophrenia and its impact on the dynamics of spontaneous functional networks

    SciTech Connect (OSTI)

    Cabral, Joana; Department of Psychiatry, University of Oxford, Oxford OX3 7JX ; Fernandes, Henrique M.; Van Hartevelt, Tim J.; Kringelbach, Morten L.; Center of Functionally Integrative Neuroscience , Aarhus University, Aarhus ; James, Anthony C.; Highfield Unit, Warneford Hospital, Oxford OX3 7JX ; Deco, Gustavo; Institució Catalana de Recerca i Estudis Avançats , Barcelona 08010

    2013-12-15

    The neuropathology of schizophrenia remains unclear. Some insight has come from modern neuroimaging techniques, which offer an unparalleled opportunity to explore in vivo the structure and function of the brain. Using functional magnetic resonance imaging, it has been found that the large-scale resting-state functional connectivity (rsFC) in schizophrenia — measured as the temporal correlations of the blood-oxygen-level-dependent (BOLD) signal — exhibit altered network topology, with lower small-world index. The origin of these rsFC alterations and link with the underlying structural connectivity remain unclear. In this work, we used a computational model of spontaneous large-scale brain activity to explore the role of the structural connectivity in the large-scale dynamics of the brain in health and schizophrenia. The structural connectomes from 15 adolescent patients with early-onset schizophrenia and 15 age- and gender-matched controls were built from diffusion tensor imaging data to detect the white matter tracts between 90 brain areas. Brain areas, simulated using a reduced dynamic mean-field model, receive excitatory input from other areas in proportion to the number of fibre tracts between them. The simulated mean field activity was transformed into BOLD signal, and the properties of the simulated functional networks were analyzed. Our results suggest that the functional alterations observed in schizophrenia are not directly linked to alterations in the structural topology. Instead, subtly randomized and less small-world functional networks appear when the brain operates with lower global coupling, which shifts the dynamics from the optimal healthy regime.

  3. Rooftop Unit Network Project

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

    Network Project RTU Network Project Michael Brambley, Ph.D. Pacific Northwest National Laboratory Michael.Brambley@pnnl.gov (509) 375-6875 April 4, 2013 2 | Building Technologies Office eere.energy.gov * Packaged air conditioners and heat pumps (RTUs) are used in about 58% of all cooled commercial buildings, serving about 69% of the cooled commercial building floor space (EIA 2003) - Navigant estimates packaged A/C uses 0.9 quads of electricity for cooling annually and 0.4 quads of heating

  4. Self-Configuring Network Monitor

    Energy Science and Technology Software Center (OSTI)

    2004-05-01

    Self-Configuring Network Monitor (SCNM) is a passive monitoring that can collect packet headers from any point in a network path. SCNM uses special activation packets to automatically activate monitors deployed at the layer three ingress and egress routers of the wide-area network, and at critical points within the site networks. Monitoring output data is sent back to the application data source or destination host. No modifications are required to the application or network routing infrastructuremore » in order to activate monitoring of traffic for an application. This ensures that the monitoring operation does not add a burden to the networks administrator.« less

  5. ASCR Science Network Requirements

    SciTech Connect (OSTI)

    Dart, Eli; Tierney, Brian

    2009-08-24

    The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the US Department of Energy Office of Science, the single largest supporter of basic research in the physical sciences in the United States. In support of the Office of Science programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet to be a highly successful enabler of scientific discovery for over 20 years. In April 2009 ESnet and the Office of Advanced Scientific Computing Research (ASCR), of the DOE Office of Science, organized a workshop to characterize the networking requirements of the programs funded by ASCR. The ASCR facilities anticipate significant increases in wide area bandwidth utilization, driven largely by the increased capabilities of computational resources and the wide scope of collaboration that is a hallmark of modern science. Many scientists move data sets between facilities for analysis, and in some cases (for example the Earth System Grid and the Open Science Grid), data distribution is an essential component of the use of ASCR facilities by scientists. Due to the projected growth in wide area data transfer needs, the ASCR supercomputer centers all expect to deploy and use 100 Gigabit per second networking technology for wide area connectivity as soon as that deployment is financially feasible. In addition to the network connectivity that ESnet provides, the ESnet Collaboration Services (ECS) are critical to several science communities. ESnet identity and trust services, such as the DOEGrids certificate authority, are widely used both by the supercomputer centers and by collaborations such as Open Science Grid (OSG) and the Earth System Grid (ESG). Ease of use is a key determinant of the scientific utility of network-based services. Therefore, a key enabling aspect for scientists beneficial use of high performance networks is a consistent, widely deployed, well-maintained toolset that is optimized for wide area, high-speed data transfer (e.g. GridFTP) that allows scientists to easily utilize the services and capabilities that the network provides. Network test and measurement is an important part of ensuring that these tools and network services are functioning correctly. One example of a tool in this area is the recently developed perfSONAR, which has already shown its usefulness in fault diagnosis during the recent deployment of high-performance data movers at NERSC and ORNL. On the other hand, it is clear that there is significant work to be done in the area of authentication and access control - there are currently compatibility problems and differing requirements between the authentication systems in use at different facilities, and the policies and mechanisms in use at different facilities are sometimes in conflict. Finally, long-term software maintenance was of concern for many attendees. Scientists rely heavily on a large deployed base of software that does not have secure programmatic funding. Software packages for which this is true include data transfer tools such as GridFTP as well as identity management and other software infrastructure that forms a critical part of the Open Science Grid and the Earth System Grid.

  6. Network resilience; A measure of network fault tolerance

    SciTech Connect (OSTI)

    Najjar, W. . Dept. of Computer Science); Gaudoit, J.L. . Dept. of Electrical Engineering)

    1990-02-01

    The failure of a node in a multicomputer system will not only reduce the computational power but also alter the network's topology. Network fault tolerance is a measure of the number of failures the network can sustain before a disconnection occurs. It is expressed traditionally as the network's node degree. In this paper, the authors propose a probabilistic measure of network fault tolerance expressed as the probability f a disconnection. Qualitative evaluation of this measure is presented. As expected, the single-node disconnection probability is the dominant factor irrespective of the topology under consideration. They derive an analytical approximation of the disconnection probability and verify it with Monte Carlo simulation. Based on this model, the measures of network resilience and relative network resilience are proposed as probabilistic measures of network fault tolerance. These are then used to evaluate the effects of the disconnection probability on the reliability of the system.

  7. Network Fault Tolerance in Open MPI

    SciTech Connect (OSTI)

    Shipman, Galen; Graham, Richard L; Bosilca, George

    2007-01-01

    High Performance Computing (HPC) systems are rapidly growing in size and complexity. As a result, transient and persistent network failures can occur on the time scale of application run times, reducing the productive utilization of these systems. The ubiquitous network protocol used to deal with such failures is TCP/IP, however, available implementations of this protocol provide unacceptable performance for HPC system users, and do not provide the high bandwidth, low latency communications of modern interconnects. This paper describes methods used to provide protection against several network errors such as dropped packets, corrupt packets, and loss of network interfaces while maintaining high-performance communications. Micro-benchmark experiments using vendor supplied TCP/IP and O/S bypass low-level communications stacks over InfiniBand and Myrinet are used to demonstrate the high-performance characteristics of our protocol. The NAS Parallel Benchmarks are used to demonstrate the scalability and the minimal performance impact of this protocol. The micro-benchmarks show that providing higher data reliability decrease performance by up to 30% relative to unprotected communications, but provide performance improvements of a factor of four over TCP/IP running over InfiniBand DDR. The NAS Parallel Benchmarks show virtually no impact of the data reliability protocol on overall run-time.

  8. Arithmetic functions in torus and tree networks

    DOE Patents [OSTI]

    Bhanot, Gyan (Princeton, NJ); Blumrich, Matthias A. (Ridgefield, CT); Chen, Dong (Croton On Hudson, NY); Gara, Alan G. (Mount Kisco, NY); Giampapa, Mark E. (Irvington, NY); Heidelberger, Philip (Cortlandt Manor, NY); Steinmacher-Burow, Burkhard D. (Mount Kisco, NY); Vranas, Pavlos M. (Bedford Hills, NY)

    2007-12-25

    Methods and systems for performing arithmetic functions. In accordance with a first aspect of the invention, methods and apparatus are provided, working in conjunction of software algorithms and hardware implementation of class network routing, to achieve a very significant reduction in the time required for global arithmetic operation on the torus. Therefore, it leads to greater scalability of applications running on large parallel machines. The invention involves three steps in improving the efficiency and accuracy of global operations: (1) Ensuring, when necessary, that all the nodes do the global operation on the data in the same order and so obtain a unique answer, independent of roundoff error; (2) Using the topology of the torus to minimize the number of hops and the bidirectional capabilities of the network to reduce the number of time steps in the data transfer operation to an absolute minimum; and (3) Using class function routing to reduce latency in the data transfer. With the method of this invention, every single element is injected into the network only once and it will be stored and forwarded without any further software overhead. In accordance with a second aspect of the invention, methods and systems are provided to efficiently implement global arithmetic operations on a network that supports the global combining operations. The latency of doing such global operations are greatly reduced by using these methods.

  9. Northwest Biodiesel Network | Open Energy Information

    Open Energy Info (EERE)

    Biodiesel Network Jump to: navigation, search Logo: Northwest Biodiesel Network Name: Northwest Biodiesel Network Address: 6532 Phinney Ave N Place: Seattle, Washington Zip: 98103...

  10. Better Buildings Residential Network Case Study: Partnerships...

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

    Network Case Study: Partnerships Better Buildings Residential Network Case Study: Partnerships Better Buildings Residential Network Case Study: Partnerships, from the U.S. ...

  11. Sustainable Agriculture Network | Open Energy Information

    Open Energy Info (EERE)

    Agriculture Network Jump to: navigation, search Logo: Sustainable Agriculture Network Name: Sustainable Agriculture Network Website: clima.sanstandards.org References: Sustainable...

  12. Vehicle Technologies Office: National Idling Reduction Network...

    Office of Environmental Management (EM)

    Idling Reduction Network News Archives Vehicle Technologies Office: National Idling Reduction Network News Archives The National Idling Reduction Network brings together trucking...

  13. Fact Sheet: Better Buildings Residential Network | Department...

    Energy Savers [EERE]

    Fact Sheet: Better Buildings Residential Network Fact Sheet: Better Buildings Residential Network Fact Sheet: Better Buildings Residential Network, increasing the number of...

  14. Clean Economy Network Foundation | Open Energy Information

    Open Energy Info (EERE)

    Clean Economy Network Foundation Jump to: navigation, search Logo: Clean Economy Network Foundation Name: Clean Economy Network Foundation Address: 1301 Pennsylvania Ave NW, Suite...

  15. National Network for Manufacturing Innovation: A Preliminary...

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

    Network for Manufacturing Innovation: A Preliminary Design National Network for Manufacturing Innovation: A Preliminary Design The Federal investment in the National Network for...

  16. Transactional Network Platform: Applications

    SciTech Connect (OSTI)

    Katipamula, Srinivas; Lutes, Robert G.; Ngo, Hung; Underhill, Ronald M.

    2013-10-31

    In FY13, Pacific Northwest National Laboratory (PNNL) with funding from the Department of Energys (DOEs) Building Technologies Office (BTO) designed, prototyped and tested a transactional network platform to support energy, operational and financial transactions between any networked entities (equipment, organizations, buildings, grid, etc.). Initially, in FY13, the concept demonstrated transactions between packaged rooftop air conditioners and heat pump units (RTUs) and the electric grid using applications or "agents" that reside on the platform, on the equipment, on a local building controller or in the Cloud. The transactional network project is a multi-lab effort with Oakridge National Laboratory (ORNL) and Lawrence Berkeley National Laboratory (LBNL) also contributing to the effort. PNNL coordinated the project and also was responsible for the development of the transactional network (TN) platform and three different applications associated with RTUs. This document describes two applications or "agents" in details, and also summarizes the platform. The TN platform details are described in another companion document.

  17. RESIDENTIAL NETWORK MEMBERS UNITE TO FORM GREEN BANK NETWORK

    Broader source: Energy.gov [DOE]

    Residential Network members Connecticut Green Bank and NY Green Bank, a division of Residential Network member New York State Energy Research and Development Authority, have helped launch the Green Bank Network, a new international organization focused on collaborating to scale up private financing to meet the challenge of climate change.

  18. Multipinhole collimator with 20 apertures for a brain SPECT application

    SciTech Connect (OSTI)

    Lee, Tzu-Cheng; Ellin, Justin R.; Shrestha, Uttam; Seo, Youngho; Huang, Qiu; Gullberg, Grant T.

    2014-11-01

    Purpose: Several new technologies for single photon emission computed tomography (SPECT) instrumentation with parallel-hole collimation have been proposed to improve detector sensitivity and signal collection efficiency. Benefits from improved signal efficiency include shorter acquisition times and lower dose requirements. In this paper, the authors show a possibility of over an order of magnitude enhancement in photon detection efficiency (from 7.6 × 10{sup −5} to 1.6 × 10{sup −3}) for dopamine transporter (DaT) imaging of the striatum over the conventional SPECT parallel-hole collimators by use of custom-designed 20 multipinhole (20-MPH) collimators with apertures of 0.75 cm diameter. Methods: Quantifying specific binding ratio (SBR) of {sup 123}I-ioflupane or {sup 123}I-iometopane’s signal at the striatal region is a common brain imaging method to confirm the diagnosis of the Parkinson’s disease. The authors performed imaging of a striatal phantom filled with aqueous solution of I-123 and compared camera recovery ratios of SBR acquired between low-energy high-resolution (LEHR) parallel-hole collimators and 20-MPH collimators. Results: With only two-thirds of total acquisition time (20 min against 30 min), a comparable camera recovery ratio of SBR was achieved using 20-MPH collimators in comparison to that from the LEHR collimator study. Conclusions: Their systematic analyses showed that the 20-MPH collimator could be a promising alternative for the DaT SPECT imaging for brain over the traditional LEHR collimator, which could give both shorter scan time and improved diagnostic accuracy.

  19. Software Defined Networking (SDN) Project

    Energy Savers [EERE]

    Software Defined Networking (SDN) Project Energy sector-focused SDN flow controller to manage control system networks centrally and securely Background Traditional information technology (IT) approaches to network administration and packet delivery are not always appropriate for electric industry applications. The nondeterministic latency and configuration complexity make network design difficult for the deterministic, static control systems of the energy sector. In the electric industry, it is

  20. Optimal design of reverse osmosis module networks

    SciTech Connect (OSTI)

    Maskan, F.; Wiley, D.E.; Johnston, L.P.M.; Clements, D.J.

    2000-05-01

    The structure of individual reverse osmosis modules, the configuration of the module network, and the operating conditions were optimized for seawater and brackish water desalination. The system model included simple mathematical equations to predict the performance of the reverse osmosis modules. The optimization problem was formulated as a constrained multivariable nonlinear optimization. The objective function was the annual profit for the system, consisting of the profit obtained from the permeate, capital cost for the process units, and operating costs associated with energy consumption and maintenance. Optimization of several dual-stage reverse osmosis systems were investigated and compared. It was found that optimal network designs are the ones that produce the most permeate. It may be possible to achieve economic improvements by refining current membrane module designs and their operating pressures.

  1. Framework for Network Co-Simulation

    Energy Science and Technology Software Center (OSTI)

    2014-01-09

    The Framework for Network Co-Simulation (FNCS) uses a federated approach to integrate simulations which may have differing time scales. Special consideration is given to integration with a communication network simulation such that inter-simulation messages may be optionally routed through and delayed by such a simulation. In addition, FNCS uses novel time synchronization algorithms to accelerate co-simulation including the application of speculative multithreading. FNCS accomplishes all of these improvements with minimal end user intervention. Simulations canmore » be integrated using FNCS while maintaining their original model input files simply by linking with the FNCS library and making appropriate calls into the FNCS API.« less

  2. Multiple network interface core apparatus and method

    DOE Patents [OSTI]

    Underwood, Keith D. (Albuquerque, NM); Hemmert, Karl Scott (Albuquerque, NM)

    2011-04-26

    A network interface controller and network interface control method comprising providing a single integrated circuit as a network interface controller and employing a plurality of network interface cores on the single integrated circuit.

  3. Energy Efficient Digital Networks

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

    ... millionyear * Status - In midst of IEEE 802.3 (Ethernet) standards process - ... for greatest savings * Firewire i.Link IEEE 1394 - Identify strategies to improve ...

  4. Better Buildings Network View | February 2016

    Broader source: Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  5. Better Buildings Network View | January 2016

    Broader source: Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  6. Better Buildings Network View | January 2014

    Broader source: Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  7. Better Buildings Network View | April 2014

    Broader source: Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  8. Better Buildings Network View | May 2015

    Broader source: Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  9. Better Buildings Network View | March 2014

    Broader source: Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  10. Better Buildings Network View | September 2014

    Broader source: Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  11. Renewable Energy Nongovernmental Organization Network (RENOVE...

    Open Energy Info (EERE)

    Nongovernmental Organization Network (RENOVE) Jump to: navigation, search Name: Renewable Energy Nongovernmental Organization Network (RENOVE) Place: Brasilia, Brazil Phone Number:...

  12. Better Buildings Network View | February 2014

    Broader source: Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  13. Better Buildings Network View | May 2014

    Broader source: Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  14. Better Buildings Network View | January 2015

    Broader source: Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  15. Better Buildings Network View | December 2014

    Broader source: Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  16. Instructions for Using Virtual Private Network (VPN)

    Broader source: Energy.gov [DOE]

    Virtual Private Network (VPN) provides access to network drives and is recommended for use only from a EITS provided laptop.

  17. Better Buildings Residential Network Orientation Webinar | Department...

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

    11, 2014. Call Slides and Discussion Summary More Documents & Publications Better Buildings Residential Network Orientation Better Buildings Residential Network Orientation...

  18. Better Buildings Network View | June 2014

    Broader source: Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  19. Better Buildings Network View | November 2014

    Broader source: Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  20. Better Buildings Network View | October 2014

    Broader source: Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  1. Better Buildings Network View | October 2015

    Broader source: Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  2. Better Buildings Network View | April 2015

    Broader source: Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  3. Better Buildings Network View | December 2015

    Broader source: Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  4. Better Buildings Network View | June 2015

    Broader source: Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  5. Better Buildings Network View | November 2015

    Broader source: Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  6. Better Buildings Network View | March 2015

    Broader source: Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  7. Modular sensor network node

    DOE Patents [OSTI]

    Davis, Jesse Harper Zehring (Berkeley, CA); Stark, Jr., Douglas Paul (Tracy, CA); Kershaw, Christopher Patrick (Hayward, CA); Kyker, Ronald Dean (Livermore, CA)

    2008-06-10

    A distributed wireless sensor network node is disclosed. The wireless sensor network node includes a plurality of sensor modules coupled to a system bus and configured to sense a parameter. The parameter may be an object, an event or any other parameter. The node collects data representative of the parameter. The node also includes a communication module coupled to the system bus and configured to allow the node to communicate with other nodes. The node also includes a processing module coupled to the system bus and adapted to receive the data from the sensor module and operable to analyze the data. The node also includes a power module connected to the system bus and operable to generate a regulated voltage.

  8. battery electrode percolating network

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

    battery electrode percolating network - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management

  9. Experimental Network Testbeds

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

    100G SDN Testbed Dark Fiber Testbed Test Circuit Service Testbed Results Current Testbed Research Previous Testbed Research Performance (perfSONAR) Software & Tools Development Data for Researchers Partnerships Publications Workshops Science Engagement Move your data Programs & Workshops Science Requirements Reviews Case Studies News & Publications ESnet News Publications and Presentations Galleries ESnet Awards and Honors Blog ESnet Live Home » Network R&D » Experimental

  10. Insecurity of Wireless Networks

    SciTech Connect (OSTI)

    Sheldon, Frederick T; Weber, John Mark; Yoo, Seong-Moo; Pan, W. David

    2012-01-01

    Wireless is a powerful core technology enabling our global digital infrastructure. Wi-Fi networks are susceptible to attacks on Wired Equivalency Privacy, Wi-Fi Protected Access (WPA), and WPA2. These attack signatures can be profiled into a system that defends against such attacks on the basis of their inherent characteristics. Wi-Fi is the standard protocol for wireless networks used extensively in US critical infrastructures. Since the Wired Equivalency Privacy (WEP) security protocol was broken, the Wi-Fi Protected Access (WPA) protocol has been considered the secure alternative compatible with hardware developed for WEP. However, in November 2008, researchers developed an attack on WPA, allowing forgery of Address Resolution Protocol (ARP) packets. Subsequent enhancements have enabled ARP poisoning, cryptosystem denial of service, and man-in-the-middle attacks. Open source systems and methods (OSSM) have long been used to secure networks against such attacks. This article reviews OSSMs and the results of experimental attacks on WPA. These experiments re-created current attacks in a laboratory setting, recording both wired and wireless traffic. The article discusses methods of intrusion detection and prevention in the context of cyber physical protection of critical Internet infrastructure. The basis for this research is a specialized (and undoubtedly incomplete) taxonomy of Wi-Fi attacks and their adaptations to existing countermeasures and protocol revisions. Ultimately, this article aims to provide a clearer picture of how and why wireless protection protocols and encryption must achieve a more scientific basis for detecting and preventing such attacks.

  11. Modeling oscillatory dynamics in brain microcircuits as a way to help uncover neurological disease mechanisms: A proposal

    SciTech Connect (OSTI)

    Skinner, F. K.; Department of Medicine , University of Toronto, 200 Elizabeth Street, Toronto, Ontario M5G 2C4; Department of Physiology, University of Toronto Medical Sciences Building, 3rd Floor, 1 King's College Circle, Toronto, Ontario M5S 1A8 ; Ferguson, K. A.; Department of Physiology, University of Toronto Medical Sciences Building, 3rd Floor, 1 King's College Circle, Toronto, Ontario M5S 1A8

    2013-12-15

    There is an undisputed need and requirement for theoretical and computational studies in Neuroscience today. Furthermore, it is clear that oscillatory dynamical output from brain networks is representative of various behavioural states, and it is becoming clear that one could consider these outputs as measures of normal and pathological brain states. Although mathematical modeling of oscillatory dynamics in the context of neurological disease exists, it is a highly challenging endeavour because of the many levels of organization in the nervous system. This challenge is coupled with the increasing knowledge of cellular specificity and network dysfunction that is associated with disease. Recently, whole hippocampus in vitro preparations from control animals have been shown to spontaneously express oscillatory activities. In addition, when using preparations derived from animal models of disease, these activities show particular alterations. These preparations present an opportunity to address challenges involved with using models to gain insight because of easier access to simultaneous cellular and network measurements, and pharmacological modulations. We propose that by developing and using models with direct links to experiment at multiple levels, which at least include cellular and microcircuit, a cycling can be set up and used to help us determine critical mechanisms underlying neurological disease. We illustrate our proposal using our previously developed inhibitory network models in the context of these whole hippocampus preparations and show the importance of having direct links at multiple levels.

  12. miRNAs in brain development

    SciTech Connect (OSTI)

    Petri, Rebecca; Malmevik, Josephine; Fasching, Liana; Åkerblom, Malin; Jakobsson, Johan

    2014-02-01

    MicroRNAs (miRNAs) are small, non-coding RNAs that negatively regulate gene expression at the post-transcriptional level. In the brain, a large number of miRNAs are expressed and there is a growing body of evidence demonstrating that miRNAs are essential for brain development and neuronal function. Conditional knockout studies of the core components in the miRNA biogenesis pathway, such as Dicer and DGCR8, have demonstrated a crucial role for miRNAs during the development of the central nervous system. Furthermore, mice deleted for specific miRNAs and miRNA-clusters demonstrate diverse functional roles for different miRNAs during the development of different brain structures. miRNAs have been proposed to regulate cellular functions such as differentiation, proliferation and fate-determination of neural progenitors. In this review we summarise the findings from recent studies that highlight the importance of miRNAs in brain development with a focus on the mouse model. We also discuss the technical limitations of current miRNA studies that still limit our understanding of this family of non-coding RNAs and propose the use of novel and refined technologies that are needed in order to fully determine the impact of specific miRNAs in brain development. - Highlights: • miRNAs are essential for brain development and neuronal function. • KO of Dicer is embryonically lethal. • Conditional Dicer KO results in defective proliferation or increased apoptosis. • KO of individual miRNAs or miRNA families is necessary to determine function.

  13. Scientists examine proton radiography of brain mockup

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

    Proton Radiography Of Brain Mockup Scientists examine proton radiography of brain mockup The use of such a high-energy proton beam is ideal for imaging small tumors within patients for targeted proton therapy. March 25, 2013 Proton radiograph of a high-fidelity mockup of a human head Proton radiograph of a high-fidelity mockup of a human head. Proton radiography, which was invented at Los Alamos, employs a high-energy proton beam to image the properties and behavior of materials. Los Alamos

  14. Electromagnetic imaging of dynamic brain activity

    SciTech Connect (OSTI)

    Mosher, J.; Leahy, R.; Lewis, P.; Lewine, J.; George, J.; Singh, M.

    1991-12-31

    Neural activity in the brain produces weak dynamic electromagnetic fields that can be measured by an array of sensors. Using a spatio-temporal modeling framework, we have developed a new approach to localization of multiple neural sources. This approach is based on the MUSIC algorithm originally developed for estimating the direction of arrival of signals impinging on a sensor array. We present applications of this technique to magnetic field measurements of a phantom and of a human evoked somatosensory response. The results of the somatosensory localization are mapped onto the brain anatomy obtained from magnetic resonance images.

  15. Ergonomic Improvements for Foundries

    SciTech Connect (OSTI)

    Frank Peters; Patrick Patterson

    2002-06-18

    The goal of this project was to make improvements to the production systems of the steel casting industry through ergonomic improvements. Because of the wide variety of products, the wide range of product sizes, and the relatively small quantities of any particular product, manual operations remain a vital part of the production systems of the steel casting companies. Ergonomic improvements will assist the operators to more efficiently and consistently produce quality products.

  16. Milestone Plan Process Improvement

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

    Milestone Plan Process Improvement Milestone Plan Process Improvement Background In response to our community's concern over the milestone plan (MP) process within the system, the STRIPES Project Office initiated an in-depth evaluation of the required steps and issues surrounding this process. We concluded that the MP process could be improved for most users by tuning the system configuration. With the approval of both the STRIPES Executive Steering Committee and the STRIPES Project Office, we

  17. Efficiency Improvements - 2015

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

    NIF & Photon Science News Press Releases Experimental Highlights Efficiency Improvements Science & Technology Meetings and Workshops Papers and Presentations NIF&PS People In the News Press Kit S&TR Articles home / news / efficiency improvements Efficiency Improvements - 2015 December ATLAS Laser Tracking System Will Speed NIF Alignment November Automating NIF Beam-Timing Delays New Power Supplies Will Keep NIF on Target September What Goes Into a NIF Shot? August NIF Fires 300th

  18. Parameters affecting the resilience of scale-free networks to random failures.

    SciTech Connect (OSTI)

    Link, Hamilton E.; LaViolette, Randall A.; Lane, Terran; Saia, Jared

    2005-09-01

    It is commonly believed that scale-free networks are robust to massive numbers of random node deletions. For example, Cohen et al. in (1) study scale-free networks including some which approximate the measured degree distribution of the Internet. Their results suggest that if each node in this network failed independently with probability 0.99, most of the remaining nodes would still be connected in a giant component. In this paper, we show that a large and important subclass of scale-free networks are not robust to massive numbers of random node deletions. In particular, we study scale-free networks which have minimum node degree of 1 and a power-law degree distribution beginning with nodes of degree 1 (power-law networks). We show that, in a power-law network approximating the Internet's reported distribution, when the probability of deletion of each node is 0.5 only about 25% of the surviving nodes in the network remain connected in a giant component, and the giant component does not persist beyond a critical failure rate of 0.9. The new result is partially due to improved analytical accommodation of the large number of degree-0 nodes that result after node deletions. Our results apply to power-law networks with a wide range of power-law exponents, including Internet-like networks. We give both analytical and empirical evidence that such networks are not generally robust to massive random node deletions.

  19. Energy-Efficient Networks

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

    Architecting and Operating Energy-Efficient Networks Inder Monga (ESnet) With input from Dan Kilper, Thierry Klein (Bell Labs) Vijay Sivaraman (UNSW, Australia) Jaafar Elmirghani (University of Leeds, UK) § Global research consortium representing industry, government and academic organizations § Launched in May 2010 § Focus on sustainability and growth § Holistic and ambitious: Goal of 1000x § 57 member organizations § 300+ leading scientists § Recognized by the World

  20. High-Tech Brain Implant Predicts, Prevents Epileptic Seizures...

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

    High-Tech Brain Implant Predicts, Prevents Epileptic Seizures (ANL-IN-08-043) Argonne ... an advanced brain implant system that finds and stops seizures before they happen. ...

  1. BigNeuron: Unlocking the Secrets of the Human Brain

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

    BigNeuron: Unlocking the Secrets of the Human Brain BigNeuron: Unlocking the Secrets of the Human Brain Berkeley Researchers and Supercomputers to Help Create a Standard 3D Neuron ...

  2. Take a Closer Look at the Brain | GE Global Research

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

    Take a Closer Look at the Brain Click to email this to a friend (Opens in new window) ... Take a Closer Look at the Brain Worldwide, more than 450 million people are living with ...

  3. Scientists model brain structure to help computers recognize...

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

    Do you see what I see? Scientists model brain structure to help computers recognize ... Introspectively, we know that the human brain solves this problem very well. We only have ...

  4. Computer Networking Group | Stanford Synchrotron Radiation Lightsource

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

    Computer Networking Group Do you need help? For assistance please submit a CNG Help Request ticket. CNG Logo Chris Ramirez SSRL Computer and Networking Group (650) 926-2901 | email Jerry Camuso SSRL Computer and Networking Group (650) 926-2994 | email Networking Support The Networking group provides connectivity and communications services for SSRL. The services provided by the Networking Support Group include: Local Area Network support for cable and wireless connectivity. Installation and

  5. Operating Innovative Networks Workshop Series

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

    Operating Innovative Networks Workshop Series Science Engagement Move your data Programs & Workshops CrossConnects Workshop Series Operating Innovative Networks Workshop Series Enlighten Your Research Global Program Science Requirements Reviews Case Studies Contact Us Technical Assistance: 1 800-33-ESnet (Inside US) 1 800-333-7638 (Inside US) 1 510-486-7600 (Globally) 1 510-486-7607 (Globally) Report Network Problems: trouble@es.net Provide Web Site Feedback: info@es.net Operating Innovative

  6. United States National Seismographic Network

    SciTech Connect (OSTI)

    Buland, R.

    1993-09-01

    The concept of a United States National Seismograph Network (USNSN) dates back nearly 30 years. The idea was revived several times over the decades. but never funded. For, example, a national network was proposed and discussed at great length in the so called Bolt Report (U. S. Earthquake Observatories: Recommendations for a New National Network, National Academy Press, Washington, D.C., 1980, 122 pp). From the beginning, a national network was viewed as augmenting and complementing the relatively dense, predominantly short-period vertical coverage of selected areas provided by the Regional Seismograph Networks (RSN`s) with a sparse, well-distributed network of three-component, observatory quality, permanent stations. The opportunity finally to begin developing a national network arose in 1986 with discussions between the US Geological Survey (USGS) and the Nuclear Regulatory Commission (NRC). Under the agreement signed in 1987, the NRC has provided $5 M in new funding for capital equipment (over the period 1987-1992) and the USGS has provided personnel and facilities to develop. deploy, and operate the network. Because the NRC funding was earmarked for the eastern United States, new USNSN station deployments are mostly east of 105{degree}W longitude while the network in the western United States is mostly made up of cooperating stations (stations meeting USNSN design goals, but deployed and operated by other institutions which provide a logical extension to the USNSN).

  7. ARM Assists Lilac Phenology Network

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

    Program's SGP central facility that is contributing information about global climate change. The monitoring effort is the Lilac Phenology Network, overseen by Professor Mark D....

  8. Regional Networks for Energy Efficiency

    Broader source: Energy.gov [DOE]

    Better Buildings Neighborhood Program Sustainability Peer Exchange Call: Regional Networks for Energy Efficiency, call slides and discussion summary, December 6, 2012.

  9. Network interdiction with budget constraints

    SciTech Connect (OSTI)

    Santhi, Nankakishore; Pan, Feng

    2009-01-01

    Several scenarios exist in the modern interconnected world which call for efficient network interdiction algorithms. Applications are varied, including computer network security, prevention of spreading of Internet worms, policing international smuggling networks, controlling spread of diseases and optimizing the operation of large public energy grids. In this paper we consider some natural network optimization questions related to the budget constrained interdiction problem over general graphs. Many of these questions turn out to be computationally hard to tackle. We present a particularly interesting practical form of the interdiction question which we show to be computationally tractable. A polynomial time algorithm is then presented for this problem.

  10. Energy Materials Network

    Broader source: Energy.gov [DOE]

    High performance materials hold the key to innovation in many critical clean energy technologies. But with ambitious national targets to reduce America’s carbon footprint, advanced materials’ traditional 15-20 years-to-market timeframe isn’t keeping pace with America’s goals to achieve a clean energy economy. Through the Energy Materials Network (EMN), the Energy Department is taking a different approach to materials research and development (R&D) that aims to solve industry’s toughest clean energy materials challenges. EMN’s targeted, growing network of consortia led by the Energy Department’s national labs is better integrating all phases of R&D, from discovery through deployment, and facilitating industry access to its national laboratories’ capabilities, tools, and expertise to accelerate the materials development cycle and enable U.S. manufacturers to deliver innovative, made-in-America products to the world market. This effort supports the President’s Materials Genome Initiative, which is working to discover, manufacture, and deploy advanced materials twice as fast, at a fraction of the cost. EMN also supports the recommendations of the Advanced Manufacturing Partnership 2.0, a working group with leaders from industry, academia, and labor, which highlighted the importance of producing advanced materials for technologies critical to U.S. competitiveness in manufacturing.

  11. Vector Network Analysis

    Energy Science and Technology Software Center (OSTI)

    1997-10-20

    Vector network analyzers are a convenient way to measure scattering parameters of a variety of microwave devices. However, these instruments, unlike oscilloscopes for example, require a relatively high degree of user knowledge and expertise. Due to the complexity of the instrument and of the calibration process, there are many ways in which an incorrect measurement may be produced. The Microwave Project, which is part of Sandia National Laboratories Primary Standards Laboratory, routinely uses check standardsmore » to verify that the network analyzer is operating properly. In the past, these measurements were recorded manually and, sometimes, interpretation of the results was problematic. To aid our measurement assurance process, a software program was developed to automatically measure a check standard and compare the new measurements with an historical database of measurements of the same device. The program acquires new measurement data from selected check standards, plots the new data against the mean and standard deviation of prior data for the same check standard, and updates the database files for the check standard. The program is entirely menu-driven requiring little additional work by the user.« less

  12. Polymer network/carbon layer on monolith support and monolith catalytic reactor

    DOE Patents [OSTI]

    Nordquist, Andrew Francis; Wilhelm, Frederick Carl; Waller, Francis Joseph; Machado, Reinaldo Mario

    2003-08-26

    The present invention relates to an improved monolith catalytic reactor and a monolith support. The improvement in the support resides in a polymer network/carbon coating applied to the surface of a porous substrate and a catalytic metal, preferably a transition metal catalyst applied to the surface of the polymer network/carbon coating. The monolith support has from 100 to 800 cells per square inch and a polymer network/carbon coating with surface area of from 0.1 to 15 m.sup.2 /gram as measured by adsorption of N.sub.2 or Kr using the BET method.

  13. Improved wire chamber

    DOE Patents [OSTI]

    Atac, M.

    1987-05-12

    An improved gas mixture for use with proportional counter devices, such as Geiger-Mueller tubes and drift chambers. The improved gas mixture provides a stable drift velocity while eliminating wire aging caused by prior art gas mixtures. The new gas mixture is comprised of equal parts argon and ethane gas and having approximately 0.25% isopropyl alcohol vapor. 2 figs.

  14. Improved solid aerosol generator

    DOE Patents [OSTI]

    Prescott, D.S.; Schober, R.K.; Beller, J.

    1988-07-19

    An improved solid aerosol generator used to produce a gas borne stream of dry, solid particles of predetermined size and concentration. The improved solid aerosol generator nebulizes a feed solution of known concentration with a flow of preheated gas and dries the resultant wet heated aerosol in a grounded, conical heating chamber, achieving high recovery and flow rates. 2 figs.

  15. Hydropower Process Improvements

    Office of Environmental Management (EM)

    Process Improvements William J. Palmer Hydropower Program Manager South Atlantic Division 2 April 2015 BUILDING STRONG ® Focus Areas For Process Improvements Inspections\Condition Assessments Project Identification & Prioritization Budget\PRC Funding Request Design Pre-solicitation Solicitation and Award Contract Execution and Administration Commissioning Contract Closeout Project Identification/Funding Solicitation Design BUILDING STRONG ® Project Identification/Funding  Utilize

  16. Wireless Sensors and Networks for Advanced Energy Management

    SciTech Connect (OSTI)

    Hardy, J.E.

    2005-05-06

    Numerous national studies and working groups have identified low-cost, very low-power wireless sensors and networks as a critical enabling technology for increasing energy efficiency, reducing waste, and optimizing processes. Research areas for developing such sensor and network platforms include microsensor arrays, ultra-low power electronics and signal conditioning, data/control transceivers, and robust wireless networks. A review of some of the research in the following areas will be discussed: (1) Low-cost, flexible multi-sensor array platforms (CO{sub 2}, NO{sub x}, CO, humidity, NH{sub 3}, O{sub 2}, occupancy, etc.) that enable energy and emission reductions in applications such as buildings and manufacturing; (2) Modeling investments (energy usage and savings to drive capital investment decisions) and estimated uptime improvements through pervasive gathering of equipment and process health data and its effects on energy; (3) Robust, self-configuring wireless sensor networks for energy management; and (4) Quality-of-service for secure and reliable data transmission from widely distributed sensors. Wireless communications is poised to support technical innovations in the industrial community, with widespread use of wireless sensors forecasted to improve manufacturing production and energy efficiency and reduce emissions. Progress being made in wireless system components, as described in this paper, is helping bring these projected improvements to reality.

  17. Flexible transparent conductors based on metal nanowire networks

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Guo, Chuan Fei; Ren, Zhifeng

    2015-04-01

    Few conductors are transparent and flexible. Metals have the best electrical conductivity, but they are opaque and stiff in bulk form. However, metals can be transparent and flexible when they are very thin or properly arranged on the nanoscale. This review focuses on the flexible transparent conductors based on percolating networks of metal. Specifically, we discuss the fabrication, the means to improve the electrical conductivity, the large stretchability and its mechanism, and the applications of these metal networks. We also suggest some criteria for evaluating flexible transparent conductors and propose some new research directions in this emerging field.

  18. BigNeuron: Unlocking the Secrets of the Human Brain

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

    BigNeuron: Unlocking the Secrets of the Human Brain BigNeuron: Unlocking the Secrets of the Human Brain Berkeley Researchers and Supercomputers to Help Create a Standard 3D Neuron Model March 31, 2015 Linda Vu, +1 510 495 2402, lvu@lbl.gov n11.jpg Neuron Image courtesy of The Allen Institute for Brain Science Before scientists can unlock the secrets of the human brain, they must fully understand neurons-the cells of our brain, spinal cord and overall nervous system. Thousands of detailed neuron

  19. Wellbore Integrity Network

    SciTech Connect (OSTI)

    Carey, James W.; Bachu, Stefan

    2012-06-21

    In this presentation, we review the current state of knowledge on wellbore integrity as developed in the IEA Greenhouse Gas Programme's Wellbore Integrity Network. Wells are one of the primary risks to the successful implementation of CO{sub 2} storage programs. Experimental studies show that wellbore materials react with CO{sub 2} (carbonation of cement and corrosion of steel) but the impact on zonal isolation is unclear. Field studies of wells in CO{sub 2}-bearing fields show that CO{sub 2} does migrate external to casing. However, rates and amounts of CO{sub 2} have not been quantified. At the decade time scale, wellbore integrity is driven by construction quality and geomechanical processes. Over longer time-scales (> 100 years), chemical processes (cement degradation and corrosion) become more important, but competing geomechanical processes may preserve wellbore integrity.

  20. Distributed downhole drilling network

    DOE Patents [OSTI]

    Hall, David R.; Hall, Jr., H. Tracy; Fox, Joe; Pixton, David S.

    2006-11-21

    A high-speed downhole network providing real-time data from downhole components of a drilling strings includes a bottom-hole node interfacing to a bottom-hole assembly located proximate the bottom end of a drill string. A top-hole node is connected proximate the top end of the drill string. One or several intermediate nodes are located along the drill string between the bottom-hole node and the top-hole node. The intermediate nodes are configured to receive and transmit data packets transmitted between the bottom-hole node and the top-hole node. A communications link, integrated into the drill string, is used to operably connect the bottom-hole node, the intermediate nodes, and the top-hole node. In selected embodiments, a personal or other computer may be connected to the top-hole node, to analyze data received from the intermediate and bottom-hole nodes.

  1. Global interrupt and barrier networks

    DOE Patents [OSTI]

    Blumrich, Matthias A. (Ridgefield, CT); Chen, Dong (Croton-On-Hudson, NY); Coteus, Paul W. (Yorktown Heights, NY); Gara, Alan G. (Mount Kisco, NY); Giampapa, Mark E (Irvington, NY); Heidelberger, Philip (Cortlandt Manor, NY); Kopcsay, Gerard V. (Yorktown Heights, NY); Steinmacher-Burow, Burkhard D. (Mount Kisco, NY); Takken, Todd E. (Mount Kisco, NY)

    2008-10-28

    A system and method for generating global asynchronous signals in a computing structure. Particularly, a global interrupt and barrier network is implemented that implements logic for generating global interrupt and barrier signals for controlling global asynchronous operations performed by processing elements at selected processing nodes of a computing structure in accordance with a processing algorithm; and includes the physical interconnecting of the processing nodes for communicating the global interrupt and barrier signals to the elements via low-latency paths. The global asynchronous signals respectively initiate interrupt and barrier operations at the processing nodes at times selected for optimizing performance of the processing algorithms. In one embodiment, the global interrupt and barrier network is implemented in a scalable, massively parallel supercomputing device structure comprising a plurality of processing nodes interconnected by multiple independent networks, with each node including one or more processing elements for performing computation or communication activity as required when performing parallel algorithm operations. One multiple independent network includes a global tree network for enabling high-speed global tree communications among global tree network nodes or sub-trees thereof. The global interrupt and barrier network may operate in parallel with the global tree network for providing global asynchronous sideband signals.

  2. Network Information System

    Energy Science and Technology Software Center (OSTI)

    1996-05-01

    The Network Information System (NWIS) was initially implemented in May 1996 as a system in which computing devices could be recorded so that unique names could be generated for each device. Since then the system has grown to be an enterprise wide information system which is integrated with other systems to provide the seamless flow of data through the enterprise. The system Iracks data for two main entities: people and computing devices. The following aremore » the type of functions performed by NWIS for these two entities: People Provides source information to the enterprise person data repository for select contractors and visitors Generates and tracks unique usernames and Unix user IDs for every individual granted cyber access Tracks accounts for centrally managed computing resources, and monitors and controls the reauthorization of the accounts in accordance with the DOE mandated interval Computing Devices Generates unique names for all computing devices registered in the system Tracks the following information for each computing device: manufacturer, make, model, Sandia property number, vendor serial number, operating system and operating system version, owner, device location, amount of memory, amount of disk space, and level of support provided for the machine Tracks the hardware address for network cards Tracks the P address registered to computing devices along with the canonical and alias names for each address Updates the Dynamic Domain Name Service (DDNS) for canonical and alias names Creates the configuration files for DHCP to control the DHCP ranges and allow access to only properly registered computers Tracks and monitors classified security plans for stand-alone computers Tracks the configuration requirements used to setup the machine Tracks the roles people have on machines (system administrator, administrative access, user, etc...) Allows systems administrators to track changes made on the machine (both hardware and software) Generates an adjustment history of changes on selected fields« less

  3. Development of a general method for obtaining the geometry of microfluidic networks

    SciTech Connect (OSTI)

    Razavi, Mohammad Sayed Salimpour, M. R.; Shirani, Ebrahim

    2014-01-15

    In the present study, a general method for geometry of fluidic networks is developed with emphasis on pressure-driven flows in the microfluidic applications. The design method is based on general features of network's geometry such as cross-sectional area and length of channels. Also, the method is applicable to various cross-sectional shapes such as circular, rectangular, triangular, and trapezoidal cross sections. Using constructal theory, the flow resistance, energy loss and performance of the network are optimized. Also, by this method, practical design strategies for the fabrication of microfluidic networks can be improved. The design method enables rapid prediction of fluid flow in the complex network of channels and is very useful for improving proper miniaturization and integration of microfluidic networks. Minimization of flow resistance of the network of channels leads to universal constants for consecutive cross-sectional areas and lengths. For a Y-shaped network, the optimal ratios of consecutive cross-section areas (A{sub i+1}/A{sub i}) and lengths (L{sub i+1}/L{sub i}) are obtained as A{sub i+1}/A{sub i} = 2{sup ?2/3} and L{sub i+1}/L{sub i} = 2{sup ?1/3}, respectively. It is shown that energy loss in the network is proportional to the volume of network. It is also seen when the number of channels is increased both the hydraulic resistance and the volume occupied by the network are increased in a similar manner. Furthermore, the method offers that fabrication of multi-depth and multi-width microchannels should be considered as an integral part of designing procedures. Finally, numerical simulations for the fluid flow in the network have been performed and results show very good agreement with analytic results.

  4. Collective network for computer structures

    DOE Patents [OSTI]

    Blumrich, Matthias A. (Ridgefield, CT); Coteus, Paul W. (Yorktown Heights, NY); Chen, Dong (Croton On Hudson, NY); Gara, Alan (Mount Kisco, NY); Giampapa, Mark E. (Irvington, NY); Heidelberger, Philip (Cortlandt Manor, NY); Hoenicke, Dirk (Ossining, NY); Takken, Todd E. (Brewster, NY); Steinmacher-Burow, Burkhard D. (Wernau, DE); Vranas, Pavlos M. (Bedford Hills, NY)

    2011-08-16

    A system and method for enabling high-speed, low-latency global collective communications among interconnected processing nodes. The global collective network optimally enables collective reduction operations to be performed during parallel algorithm operations executing in a computer structure having a plurality of the interconnected processing nodes. Router devices ate included that interconnect the nodes of the network via links to facilitate performance of low-latency global processing operations at nodes of the virtual network and class structures. The global collective network may be configured to provide global barrier and interrupt functionality in asynchronous or synchronized manner. When implemented in a massively-parallel supercomputing structure, the global collective network is physically and logically partitionable according to needs of a processing algorithm.

  5. Collective network for computer structures

    DOE Patents [OSTI]

    Blumrich, Matthias A; Coteus, Paul W; Chen, Dong; Gara, Alan; Giampapa, Mark E; Heidelberger, Philip; Hoenicke, Dirk; Takken, Todd E; Steinmacher-Burow, Burkhard D; Vranas, Pavlos M

    2014-01-07

    A system and method for enabling high-speed, low-latency global collective communications among interconnected processing nodes. The global collective network optimally enables collective reduction operations to be performed during parallel algorithm operations executing in a computer structure having a plurality of the interconnected processing nodes. Router devices are included that interconnect the nodes of the network via links to facilitate performance of low-latency global processing operations at nodes of the virtual network. The global collective network may be configured to provide global barrier and interrupt functionality in asynchronous or synchronized manner. When implemented in a massively-parallel supercomputing structure, the global collective network is physically and logically partitionable according to the needs of a processing algorithm.

  6. Improving Project Management

    Office of Environmental Management (EM)

    Improving Project Management Report of the Contract and Project Management Working Group November 2014 1 TABLE OF CONTENTS 1. Foreword ........................................................................................................................................................................... 2 2. Executive Summary ...................................................................................................................................................... 3 2.1 Summary of

  7. Efficiency Improvements - 2015

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

    efficiency improvements / 2015 Efficiency Improvements - 2015 July Electronic Checklists Keep NIF Running Smoothly Target Fabrication Steps Up to the Challenges Every NIF experiment needs a target. That might seem obvious, but it's far from routine. Fabricating targets for NIF is a multi-faceted process requiring constant adjustments to meet the changing demands of experimenters and to deal with new engineering and material science issues that have a way of cropping up unexpectedly. Annual

  8. Infrastructure Improvements - SRSCRO

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

    Infrastructure Improvements As the designated Community Reuse Organization for the Department of Energy's (DOE) Savannah River Site (SRS), our 22-member citizen-led Board of Directors has undertaken a study to point out the critical need for improving the deteriorating infrastructure at SRS. Priority attention needs to be made now to maximize SRS contributions and potential in the years ahead. SRS has all the assets required in people, land, expertise and community support to continue to play a

  9. Improving Meningococcal Vaccines

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

    Digg: ALSBerkeleyLab Facebook Page: 208064938929 Flickr: advancedlightsource Twitter: AdvLightSource YouTube: AdvancedLightSource Home Science Highlights Science Briefs Improving Meningococcal Vaccines Improving Meningococcal Vaccines Print Tuesday, 16 February 2016 12:50 Two recently licensed vaccines against bacterial meningitis contain a bacterial surface protein antigen known as Factor H binding protein (FHbp). This protein can have low thermal stability, which affects its activity even at

  10. Improving Entrainment Rate Parameterization

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

    Entrainment Rate Parameterization For original submission and image(s), see ARM Research Highlights http://www.arm.gov/science/highlights/ Research Highlight Parameterization of entrainment rate is critical for improving representation of cloud- and convection-related processes in climate models; however, much remains unclear. This work seeks to improve understanding and parameterization of entrainment rate by use of aircraft observations and large-eddy simulations of shallow cumulus clouds over

  11. Interconnecting PV on New York City's Secondary Network Distribution System

    SciTech Connect (OSTI)

    K. Anderson; M. Coddington; K. Burman; S. Hayter; B. Kroposki; and A. Watson

    2009-11-30

    The U.S. Department of Energy (DOE) has teamed with cities across the country through the Solar America Cities (SAC) partnership program to help reduce barriers and accelerate implementation of solar energy. The New York City SAC team is a partnership between the City University of New York (CUNY), the New York City Mayor s Office of Long-term Planning and Sustainability, and the New York City Economic Development Corporation (NYCEDC).The New York City SAC team is working with DOE s National Renewable Energy Laboratory (NREL) and Con Edison, the local utility, to develop a roadmap for photovoltaic (PV) installations in the five boroughs. The city set a goal to increase its installed PV capacity from1.1 MW in 2005 to 8.1 MW by 2015 (the maximum allowed in 2005). A key barrier to reaching this goal, however, is the complexity of the interconnection process with the local utility. Unique challenges are associated with connecting distributed PV systems to secondary network distribution systems (simplified to ???¢????????networks???¢??????? in this report). Although most areas of the country use simpler radial distribution systems to distribute electricity, larger metropolitan areas like New York City typically use networks to increase reliability in large load centers. Unlike the radial distribution system, where each customer receives power through a single line, a network uses a grid of interconnected lines to deliver power to each customer through several parallel circuits and sources. This redundancy improves reliability, but it also requires more complicated coordination and protection schemes that can be disrupted by energy exported from distributed PV systems. Currently, Con Edison studies each potential PV system in New York City to evaluate the system s impact on the network, but this is time consuming for utility engineers and may delay the customer s project or add cost for larger installations. City leaders would like to streamline this process to facilitate faster, simpler, and less expensive distributed PV system interconnections. To assess ways to improve the interconnection process, NREL conducted a four-part study with support from DOE. The NREL team then compiled the final reports from each study into this report. In Section 1???¢????????PV Deployment Analysis for New York City???¢????????we analyze the technical potential for rooftop PV systems in the city. This analysis evaluates potential PV power production in ten Con Edison networks of various locations and building densities (ranging from high density apartments to lower density single family homes). Next, we compare the potential power production to network loads to determine where and when PV generation is most likely to exceed network load and disrupt network protection schemes. The results of this analysis may assist Con Edison in evaluating future PV interconnection applications and in planning future network protection system upgrades. This analysis may also assist other utilities interconnecting PV systems to networks by defining a method for assessing the technical potential of PV in the network and its impact on network loads. Section 2???¢????????A Briefing for Policy Makers on Connecting PV to a Network Grid???¢????????presents an overview intended for nontechnical stakeholders. This section describes the issues associated with interconnecting PV systems to networks, along with possible solutions. Section 3???¢????????Technical Review of Concerns and Solutions to PV Interconnection in New Y

  12. Improved fiberoptic spectrophotometer

    DOE Patents [OSTI]

    Tans, P.P.; Lashof, D.A.

    1985-04-02

    The present invention allows for accurate spectrophotmetric comparison of the Raman scattering from a sample gas with the Raman scattering from a known gas via a novel fiber optic network. The need for complicated electronic of optical circuit balancing, control, or error compensation circuitry is eliminated. The laser cavity is split into two regions, one of which houses the plasma discharge and produces laser power, and the other of which is adapted to house tubes containing the gas samples. Light from the laser source is beamed simultaneously through samples of the reference gas and the unknown gas, and Raman-scattered light is emitted. The Raman-scattered light from the known and unknown mixtures is then alternately passed through a fiber optic network where the various wavelengths are spatially mixed. The mixed light is then passed into a system of light detectors, each of which are adapted to measure one of the wavelengths of light representing a constituent element of the gases. When the test is complete, each gas sample can be assigned a Raman-scattered profile from the data consisting of the ratios each of the constituent elements bear to each other. (LEW)

  13. Using a neural network for abnormal event identification in BWRs

    SciTech Connect (OSTI)

    Ohga, Yukiharu; Seki, Hiroshi (Hitachi Ltd., Ibaraki (Japan))

    1991-01-01

    Information on anomalies such as abnormal events is considered to be important for operation support when choosing information to be offered to operators. The authors have applied neural network techniques to identify an abnormal event that causes a reactor scram in boiling water reactors. A primary feature of the method is that the result of the neural network is confirmed using the knowledge base on plant status when each event occurs. This improves the result's reliability. A second feature is that the neural network uses analog data such as reactor pressure, the acquisition of which is triggered by the scram signal. The event identification method is shown. The event identification method is tested using a workstation.

  14. Historically Black Colleges and Universities (HBCU) Solar Radiation Monitoring Network

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    The Historically Black Colleges and Universities (HBCU) Solar Radiation Monitoring Network operated from November 1985 through December 1996. The six-station network provided 5-minute averaged measurements of global and diffuse horizontal solar irradiance. The data were processed at the National Renewable Energy Laboratory (NREL) to improve the assessment of the solar radiation resources in the southeastern United States. Three of the stations also measured the direct-normal solar irradiance with a pyrheliometer mounted in an automatic sun tracker. All data are archived in the Standard Broadband Format (SBF) with quality-assessment indicators. Monthly data summaries and plots are also available for each month. In January 1997 the HBCU sites became part of the CONFRRM solar monitoring network.

  15. Silver Spring Networks Inc | Open Energy Information

    Open Energy Info (EERE)

    Spring Networks Inc Jump to: navigation, search Name: Silver Spring Networks Inc Place: Redwood City, California Zip: 94063 Product: California-based, developer of utility...

  16. Grencubator. Ukrainian energy innovation network | Open Energy...

    Open Energy Info (EERE)

    Grencubator. Ukrainian energy innovation network Jump to: navigation, search Name: Greencubator. Ukrainian energy innovation network Place: Kyiv, Ukraine Number of Employees: 1-10...

  17. Networks, smart grids: new model for synchronization

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

    May Networks, smart grids: new model for synchronization Networks, smart grids: new model for synchronization Researchers developed a surprisingly simple mathematical model that ...

  18. Residential Energy Services Network (RESNET) Conference | Department...

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

    Residential Energy Services Network (RESNET) Conference Residential Energy Services Network (RESNET) Conference February 29, 2016 9:00AM EST to March 2, 2016 5:0

  19. Better Buildings Network View December 2015

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

    Nationwide Expand Network's Success The Better Buildings Residential Network is social media and in your materials. pleased to welcome its newest members: Gainesville Regional...

  20. Structure Learning in Power Distribution Networks (Technical...

    Office of Scientific and Technical Information (OSTI)

    Structure Learning in Power Distribution Networks Citation Details In-Document Search Title: Structure Learning in Power Distribution Networks You are accessing a document from...

  1. Engine Combustion Network (ECN): Global sensitivity analysis...

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

    Engine Combustion Network (ECN): Global sensitivity analysis of Spray A for different combustion vessels Title Engine Combustion Network (ECN): Global sensitivity analysis of Spray...

  2. Creative Environmental Networks | Open Energy Information

    Open Energy Info (EERE)

    Environmental Networks Jump to: navigation, search Name: Creative Environmental Networks Place: United Kingdom Zip: CR7 7JG Sector: Biomass, Renewable Energy, Services Product:...

  3. Clean Economy Network | Open Energy Information

    Open Energy Info (EERE)

    Network Jump to: navigation, search Name: Clean Economy Network Place: Washington, Washington, DC Zip: 20004 Product: Washingt (DC-based advocacy group focused on clean energy and...

  4. Better Buildings Residential Network Orientation Webinar | Department...

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

    May 14, 2015. Call Slides and Discussion Summary More Documents & Publications Better Buildings Residential Network Orientation Webinar Better Buildings Residential Network...

  5. Better Buildings Residential Network Orientation | Department...

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

    Summary, March 27, 2014. Call Slides and Summary More Documents & Publications Better Buildings Residential Network Orientation Webinar Better Buildings Residential Network...

  6. EA-1964: National Ecological Observation Network (NEON)

    Broader source: Energy.gov [DOE]

    The National Science Foundation (NSF) prepared an EA that evaluated potential environmental impacts of the proposed National Ecological Observation Network (NEON), a continental-scale network of...

  7. Rural Innovations Network | Open Energy Information

    Open Energy Info (EERE)

    Network Jump to: navigation, search Name: Rural Innovations Network Place: India Sector: Services Product: General Financial & Legal Services ( Charity Non-profit Association...

  8. Better Buildings Residential Network Lessons Learned

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

    4 BETTER BUILDINGS RESIDENTIAL NETWORK Learn more at betterbuildings.energy.govbbrn MARKETING AND OUTREACH The Better Buildings Residential Network hosts a series of Peer Exchange ...

  9. Indigenous Environmental Network | Open Energy Information

    Open Energy Info (EERE)

    Indigenous Environmental Network Name: Indigenous Environmental Network Address: PO Box 485 Place: Bemidji, MN Year Founded: 1990 Phone Number: (218) 751-4967 Website:...

  10. Towards A Network-of-Networks Framework for Cyber Security

    SciTech Connect (OSTI)

    Halappanavar, Mahantesh; Choudhury, Sutanay; Hogan, Emilie A.; Hui, Peter SY; Johnson, John R.; Ray, Indrajit; Holder, Lawrence B.

    2013-06-07

    Networks-of-networks (NoN) is a graph-theoretic model of interdependent networks that have distinct dynamics at each network (layer). By adding special edges to represent relationships between nodes in different layers, NoN provides a unified mechanism to study interdependent systems intertwined in a complex relationship. While NoN based models have been proposed for cyber-physical systems, in this paper we build towards a three-layer NoN model for an enterprise cyber system. Each layer captures a different facet of a cyber system. We then discuss the potential benefits of graph-theoretic analysis enabled from such a model. Our goal is to provide a novel and powerful tool for modeling and analyzing problems in cyber security.

  11. Biomass Rapid Analysis Network (BRAN)

    SciTech Connect (OSTI)

    Not Available

    2003-10-01

    Helping the emerging biotechnology industry develop new tools and methods for real-time analysis of biomass feedstocks, process intermediates and The Biomass Rapid Analysis Network is designed to fast track the development of modern tools and methods for biomass analysis to accelerate the development of the emerging industry. The network will be led by industry and organized and coordinated through the National Renewable Energy Lab. The network will provide training and other activities of interest to BRAN members. BRAN members will share the cost and work of rapid analysis method development, validate the new methods, and work together to develop the training for the future biomass conversion workforce.

  12. Mesh Quality Improvement Toolkit

    Energy Science and Technology Software Center (OSTI)

    2002-11-15

    MESQUITE is a linkable software library to be used by simulation and mesh generation tools to improve the quality of meshes. Mesh quality is improved by node movement and/or local topological modifications. Various aspects of mesh quality such as smoothness, element shape, size, and orientation are controlled by choosing the appropriate mesh qualtiy metric, and objective function tempate, and a numerical optimization solver to optimize the quality of meshes, MESQUITE uses the TSTT mesh interfacemore » specification to provide an interoperable toolkit that can be used by applications which adopt the standard. A flexible code design makes it easy for meshing researchers to add additional mesh quality metrics, templates, and solvers to develop new quality improvement algorithms by making use of the MESQUITE infrastructure.« less

  13. EIA - Natural Gas Pipeline Network - Network Configuration & System Design

    Gasoline and Diesel Fuel Update (EIA)

    Network Configuration & System Design About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 2007/2008 with selected updates Network Configuration and System Design Overview | Transmission/Storage | Design Criteria | Importance of Storage| Overall Pipeline System Configuration Overview A principal requirement of the natural gas transmission system is that it be capable of meeting the peak demand of its shippers who have contracts for firm service. To meet this

  14. Efficiency Improvements - 2015

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

    improvements / 2015 Efficiency Improvements - 2015 April NIF Lasers Continue to Fire at a Record Rate When the first half of Fiscal Year 2015 ended on March 31, NIF was on track to meet its "stretch goal" of 300 target shots for the year, compared to 191 target shots in FY 2014. The record pace reflects a nearly 50 percent reduction in the average time between NIF shots in the past six months, resulting in an average of 7.9 target shots per five-day week in the second quarter of FY

  15. A Phase 3 Trial of Whole Brain Radiation Therapy and Stereotactic Radiosurgery Alone Versus WBRT and SRS With Temozolomide or Erlotinib for Non-Small Cell Lung Cancer and 1 to 3 Brain Metastases: Radiation Therapy Oncology Group 0320

    SciTech Connect (OSTI)

    Sperduto, Paul W.; Wang, Meihua; Robins, H. Ian; Schell, Michael C.; Werner-Wasik, Maria; Komaki, Ritsuko; Souhami, Luis; Buyyounouski, Mark K.; Khuntia, Deepak; Demas, William; Shah, Sunjay A.; Nedzi, Lucien A.; Perry, Gad; Suh, John H.; Mehta, Minesh P.

    2013-04-01

    Background: A phase 3 Radiation Therapy Oncology Group (RTOG) study subset analysis demonstrated improved overall survival (OS) with the addition of stereotactic radiosurgery (SRS) to whole brain radiation therapy (WBRT) in non-small cell lung cancer (NSCLC) patients with 1 to 3 brain metastases. Because temozolomide (TMZ) and erlotinib (ETN) cross the blood-brain barrier and have documented activity in NSCLC, a phase 3 study was designed to test whether these drugs would improve the OS associated with WBRT + SRS. Methods and Materials: NSCLC patients with 1 to 3 brain metastases were randomized to receive WBRT (2.5 Gy 15 to 37.5 Gy) and SRS alone, versus WBRT + SRS + TMZ (75 mg/m{sup 2}/day 21 days) or ETN (150 mg/day). ETN (150 mg/day) or TMZ (150-200 mg/m{sup 2}/day 5 days/month) could be continued for as long as 6 months after WBRT + SRS. The primary endpoint was OS. Results: After 126 patients were enrolled, the study closed because of accrual limitations. The median survival times (MST) for WBRT + SRS, WBRT + SRS + TMZ, and WBRT + SRS + ETN were qualitatively different (13.4, 6.3, and 6.1 months, respectively), although the differences were not statistically significant. Time to central nervous system progression and performance status at 6 months were better in the WBRT + SRS arm. Grade 3 to 5 toxicity was 11%, 41%, and 49% in arms 1, 2, and 3, respectively (P<.001). Conclusion: The addition of TMZ or ETN to WBRT + SRS in NSCLC patients with 1 to 3 brain metastases did not improve survival and possibly had a deleterious effect. Because the analysis is underpowered, these data suggest but do not prove that increased toxicity was the cause of inferior survival in the drug arms.

  16. Mathematically Reduced Chemical Reaction Mechanism Using Neural Networks

    SciTech Connect (OSTI)

    Ziaul Huque

    2007-08-31

    This is the final technical report for the project titled 'Mathematically Reduced Chemical Reaction Mechanism Using Neural Networks'. The aim of the project was to develop an efficient chemistry model for combustion simulations. The reduced chemistry model was developed mathematically without the need of having extensive knowledge of the chemistry involved. To aid in the development of the model, Neural Networks (NN) was used via a new network topology known as Non-linear Principal Components Analysis (NPCA). A commonly used Multilayer Perceptron Neural Network (MLP-NN) was modified to implement NPCA-NN. The training rate of NPCA-NN was improved with the GEneralized Regression Neural Network (GRNN) based on kernel smoothing techniques. Kernel smoothing provides a simple way of finding structure in data set without the imposition of a parametric model. The trajectory data of the reaction mechanism was generated based on the optimization techniques of genetic algorithm (GA). The NPCA-NN algorithm was then used for the reduction of Dimethyl Ether (DME) mechanism. DME is a recently discovered fuel made from natural gas, (and other feedstock such as coal, biomass, and urban wastes) which can be used in compression ignition engines as a substitute for diesel. An in-house two-dimensional Computational Fluid Dynamics (CFD) code was developed based on Meshfree technique and time marching solution algorithm. The project also provided valuable research experience to two graduate students.

  17. Asset Score National Leadership Network

    Broader source: Energy.gov [DOE]

    The Asset Score National Leadership Network is a landmark partnership between DOE and leading companies, federal agencies, and state and local governments to expand usage and knowledge of the Asset...

  18. Program for Online Network Inversion

    Energy Science and Technology Software Center (OSTI)

    2009-12-21

    PONI determines the source location of a contamination incident in a water distribution network. PONI uses large scale optimization methods to predict likely source locations by reconciling the differences between observations and numerical predictions of possible contamination incidents.

  19. Better Buildings Network View | February 2015 | Department of Energy

    Office of Environmental Management (EM)

    5 Better Buildings Network View | February 2015 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. PDF icon Better Buildings Network View February 2015 More Documents & Publications Better Buildings Network View | June 2015 Nothing But Networking for Residential Network Members Better Buildings Network View | November

  20. Improved vortex reactor system

    DOE Patents [OSTI]

    Diebold, James P. (Lakewood, CO); Scahill, John W. (Evergreen, CO)

    1995-01-01

    An improved vortex reactor system for affecting fast pyrolysis of biomass and Refuse Derived Fuel (RDF) feed materials comprising: a vortex reactor having its axis vertically disposed in relation to a jet of a horizontally disposed steam ejector that impels feed materials from a feeder and solids from a recycle loop along with a motive gas into a top part of said reactor.

  1. MCNP Progress & Performance Improvements

    SciTech Connect (OSTI)

    Brown, Forrest B.; Bull, Jeffrey S.; Rising, Michael Evan

    2015-04-14

    Twenty-eight slides give information about the work of the US DOE/NNSA Nuclear Criticality Safety Program on MCNP6 under the following headings: MCNP6.1.1 Release, with ENDF/B-VII.1; Verification/Validation; User Support & Training; Performance Improvements; and Work in Progress. whisper methodology will be incorporated into the code, and run speed should be increased.

  2. Adaptive model predictive process control using neural networks

    DOE Patents [OSTI]

    Buescher, K.L.; Baum, C.C.; Jones, R.D.

    1997-08-19

    A control system for controlling the output of at least one plant process output parameter is implemented by adaptive model predictive control using a neural network. An improved method and apparatus provides for sampling plant output and control input at a first sampling rate to provide control inputs at the fast rate. The MPC system is, however, provided with a network state vector that is constructed at a second, slower rate so that the input control values used by the MPC system are averaged over a gapped time period. Another improvement is a provision for on-line training that may include difference training, curvature training, and basis center adjustment to maintain the weights and basis centers of the neural in an updated state that can follow changes in the plant operation apart from initial off-line training data. 46 figs.

  3. Adaptive model predictive process control using neural networks

    DOE Patents [OSTI]

    Buescher, Kevin L. (Los Alamos, NM); Baum, Christopher C. (Mazomanie, WI); Jones, Roger D. (Espanola, NM)

    1997-01-01

    A control system for controlling the output of at least one plant process output parameter is implemented by adaptive model predictive control using a neural network. An improved method and apparatus provides for sampling plant output and control input at a first sampling rate to provide control inputs at the fast rate. The MPC system is, however, provided with a network state vector that is constructed at a second, slower rate so that the input control values used by the MPC system are averaged over a gapped time period. Another improvement is a provision for on-line training that may include difference training, curvature training, and basis center adjustment to maintain the weights and basis centers of the neural in an updated state that can follow changes in the plant operation apart from initial off-line training data.

  4. Transactional Network | Department of Energy

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

    Transactional Network Transactional Network Lead Performer: Pacific Northwest National Laboratory - Richland, WA Project Partners: -- Lawrence Berkeley National Laboratory - Berkeley, CA -- Oak Ridge National Laboratory - Oak Ridge, TN -- Transformative Wave - Kent, WA -- Emerson - St. Louis, MO -- NorthWrite - Minneapolis, MN -- EnerNOC - Baltimore, MD DOE Funding: $625,000 Cost Share: N/A Project website: http://transactionalnetwork.pnnl.gov/ Project Term: Jan. 2013 - 2016 Project Objective

  5. Decision Analysis of Stereotactic Radiation Surgery Versus Stereotactic Radiation Surgery and Whole-Brain Radiation Therapy for 1 to 3 Brain Metastases

    SciTech Connect (OSTI)

    Lester-Coll, Nataniel H.; Dosoretz, Arie P.; Yu, James B.

    2014-07-01

    Purpose: Although whole-brain radiation therapy (WBRT) is effective for controlling intracranial disease, it is also associated with neurocognitive side effects. It is unclear whether a theoretically improved quality of life after stereotactic radiation surgery (SRS) alone relative to that after SRS with adjuvant WBRT would justify the omission of WBRT, given the higher risk of intracranial failure. This study compares SRS alone with SRS and WBRT, to evaluate the theoretical benefits of intracranial tumor control with adjuvant WBRT against its possible side effects, using quality-adjusted life expectancy (QALE) as a primary endpoint. Methods and Materials: A Markov decision analysis model was used to compare QALE in a cohort of patients with 1 to 3 brain metastases and Karnofsky performance status of at least 70. Patients were treated with SRS alone or with SRS immediately followed by WBRT. Patients treated with SRS alone underwent surveillance magnetic resonance imaging and received salvage WBRT if they developed intracranial relapse. All patients whose cancer relapsed after WBRT underwent simulation as dying of intracranial progression. Model parameters were estimated from published literature. Results: Treatment with SRS yielded 6.2 quality-adjusted life months (QALMs). The addition of initial WBRT reduced QALE by 1.2 QALMs. On one-way sensitivity analysis, the model was sensitive only to a single parameter, the utility associated with the state of no evidence of disease after SRS alone. At values greater than 0.51, SRS alone was preferred. Conclusions: In general, SRS alone is suggested to have improved quality of life in patients with 1 to 3 brain metastases compared to SRS and immediate WBRT. Our results suggest that immediate treatment with WBRT after SRS can be reserved for patients who would have a poor performance status regardless of treatment. These findings are stable under a wide range of assumptions.

  6. Using biomarkers to identify traumatic brain injury for soldiers, sports

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

    figures Using biomarkers to identify traumatic brain injury for soldiers, sports figures Using biomarkers to identify traumatic brain injury for soldiers, sports figures A new detection approach originally developed for tuberculosis diagnostics is being adapted as a tool for determining traumatic brain injury April 28, 2015 The LANL and SMT collaborators (left to right): Donald Shields, Aaron Anderson, Paul Smith, Nicholas Hengartner, Dr. Donald Becker, Harshini Mukundan (co-PI), Laurie

  7. COLLOQUIUM: Consciousness and the Social Brain | Princeton Plasma Physics

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

    Lab September 25, 2013, 4:00pm to 5:30pm Colloquia MBG Auditorium COLLOQUIUM: Consciousness and the Social Brain Professor Michael Graziano Princeton University Presentation: Office presentation icon Presentation What is consciousness and how can a brain, a mere collection of neurons, create it? In my lab we are developing a theoretical and experimental approach to these questions. The theory begins with our ability to attribute awareness to others. The human brain has a complex circuitry

  8. ADR Lunchtime Program: YOUR BRAIN ON CONFLICT | Department of Energy

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

    YOUR BRAIN ON CONFLICT ADR Lunchtime Program: YOUR BRAIN ON CONFLICT In this workshop we will discuss basic brain structures and functions - how they affect behavior and are affected by behavior. We will also discuss neurotransmitters that are important in both producing and interpreting behavior. This knowledge will form the basis for a discussion of how we can influence behavior during times of conflict. We will take typical situations faced by managers and employees, and apply the knowledge

  9. Better Buildings Residential Network Orientation Webinar

    Broader source: Energy.gov [DOE]

    Better Buildings Residential Network Orientation Webinar, call slides and discussion summary, September 11, 2014.

  10. Better Buildings Residential Network Orientation Webinar

    Broader source: Energy.gov [DOE]

    Better Buildings Residential Network Orientation Webinar, call slides and discussion summary, May 14, 2015.

  11. Final Report on LDRD project 130784 : functional brain imaging...

    Office of Scientific and Technical Information (OSTI)

    cognitive behavior. However, current EROS systems are hampered by poor signal-to-noise-ratio (SNR) and depth of measure, limiting areas of the brain and associated cognitive...

  12. Anomaly Detection in Dynamic Networks

    SciTech Connect (OSTI)

    Turcotte, Melissa

    2014-10-14

    Anomaly detection in dynamic communication networks has many important security applications. These networks can be extremely large and so detecting any changes in their structure can be computationally challenging; hence, computationally fast, parallelisable methods for monitoring the network are paramount. For this reason the methods presented here use independent node and edge based models to detect locally anomalous substructures within communication networks. As a first stage, the aim is to detect changes in the data streams arising from node or edge communications. Throughout the thesis simple, conjugate Bayesian models for counting processes are used to model these data streams. A second stage of analysis can then be performed on a much reduced subset of the network comprising nodes and edges which have been identified as potentially anomalous in the first stage. The first method assumes communications in a network arise from an inhomogeneous Poisson process with piecewise constant intensity. Anomaly detection is then treated as a changepoint problem on the intensities. The changepoint model is extended to incorporate seasonal behavior inherent in communication networks. This seasonal behavior is also viewed as a changepoint problem acting on a piecewise constant Poisson process. In a static time frame, inference is made on this extended model via a Gibbs sampling strategy. In a sequential time frame, where the data arrive as a stream, a novel, fast Sequential Monte Carlo (SMC) algorithm is introduced to sample from the sequence of posterior distributions of the change points over time. A second method is considered for monitoring communications in a large scale computer network. The usage patterns in these types of networks are very bursty in nature and dont fit a Poisson process model. For tractable inference, discrete time models are considered, where the data are aggregated into discrete time periods and probability models are fitted to the communication counts. In a sequential analysis, anomalous behavior is then identified from outlying behavior with respect to the fitted predictive probability models. Seasonality is again incorporated into the model and is treated as a changepoint model on the transition probabilities of a discrete time Markov process. Second stage analytics are then developed which combine anomalous edges to identify anomalous substructures in the network.

  13. Improved solar heating systems

    DOE Patents [OSTI]

    Schreyer, J.M.; Dorsey, G.F.

    1980-05-16

    An improved solar heating system is described in which the incident radiation of the sun is absorbed on collector panels, transferred to a storage unit and then distributed as heat for a building and the like. The improvement is obtained by utilizing a storage unit comprising separate compartments containing an array of materials having different melting points ranging from 75 to 180/sup 0/F. The materials in the storage system are melted in accordance with the amount of heat absorbed from the sun and then transferred to the storage system. An efficient low volume storage system is provided by utilizing the latent heat of fusion of the materials as they change states in storing ad releasing heat for distribution.

  14. Incidence of Leukoencephalopathy After Whole-Brain Radiation Therapy for Brain Metastases

    SciTech Connect (OSTI)

    Ebi, Junko; Sato, Hisashi; Nakajima, Masaru; Shishido, Fumio

    2013-04-01

    Purpose: To evaluate the incidence of leukoencephalopathy after whole-brain radiation therapy (WBRT) in patients with brain metastases. Methods and Materials: We retrospectively reviewed 111 patients who underwent WBRT for brain metastases from April 2001 through March 2008 and had evaluable computed tomography (CT) and/or magnetic resonance imaging (MRI) at least 1 month after completion of WBRT. We evaluated the leukoencephalopathy according to the Common Terminology Criteria for Adverse Events, version 3.0. The patients who had brain tumor recurrence after WBRT were censored at the last follow-up CT or MRI without recurrence. To evaluate the risk factors for leukoencephalopathy, bivariate analysis was performed using a logistic regression analysis adjusted for follow-up time. Factors included in the analysis were age, gender, dose fractionation, 5-fluorouracil, methotrexate, cisplatin, and other chemotherapeutic agents. Results: The median age of the 111 patients was 60.0 years (range, 23-89 years). The median follow-up was 3.8 months (range, 1.0-38.1 months). Leukoencephalopathy developed in 23 of the 111 patients. Grades 1, 2, and 3 were observed in 8, 7, and 8 patients, respectively. The incidence was 34.4% (11 of 32), 42.9% (6 of 14), 66.7% (2 of 3), and 100% (2 of 2) of the patients who were followed up for ≥6, ≥12, ≥24, and ≥36 months, respectively. In the bivariate analysis, older age (≥65 years) was significantly correlated with higher risk of leukoencephalopathy (odds ratio 3.31; 95% confidence interval 1.15-9.50; P=.03). Conclusions: The incidence of leukoencephalopathy after WBRT was 34.4% with ≥6 months follow-up, and increased with longer follow-up. Older age was a significant risk factor. The schedule of WBRT for patients with brain metastases should be carefully determined, especially for favorable patients.

  15. Improved vortex reactor system

    DOE Patents [OSTI]

    Diebold, J.P.; Scahill, J.W.

    1995-05-09

    An improved vortex reactor system is described for affecting fast pyrolysis of biomass and Refuse Derived Fuel (RDF) feed materials comprising: a vortex reactor having its axis vertically disposed in relation to a jet of a horizontally disposed steam ejector that impels feed materials from a feeder and solids from a recycle loop along with a motive gas into a top part of said reactor. 12 figs.

  16. Improving haul truck productivity

    SciTech Connect (OSTI)

    Fiscor, S.

    2007-06-15

    The paper reviews developments in payload management and cycle times. These were discussed at a roundtable held at the Haulage and Loading 2007 conference held in May in Phoenix, AZ, USA. Several original equipment manufacturers (OEMs) explaind what their companies were doing to improve cycle times for trucks, shovels and excavators used in surface coal mining. Quotations are given from Dion Domaschenz of Liebherr and Steve Plott of Cat Global Mining. 4 figs.

  17. The Science DMZ: A Network Design Pattern for Data-Intensive Science

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Dart, Eli; Rotman, Lauren; Tierney, Brian; Hester, Mary; Zurawski, Jason

    2014-01-01

    The ever-increasing scale of scientific data has become a significant challenge for researchers that rely on networks to interact with remote computing systems and transfer results to collaborators worldwide. Despite the availability of high-capacity connections, scientists struggle with inadequate cyberinfrastructure that cripples data transfer performance, and impedes scientific progress. The Science DMZ paradigm comprises a proven set of network design patterns that collectively address these problems for scientists. We explain the Science DMZ model, including network architecture, system configuration, cybersecurity, and performance tools, that creates an optimized network environment for science. We describe use cases from universities, supercomputing centersmore » and research laboratories, highlighting the effectiveness of the Science DMZ model in diverse operational settings. In all, the Science DMZ model is a solid platform that supports any science workflow, and flexibly accommodates emerging network technologies. As a result, the Science DMZ vastly improves collaboration, accelerating scientific discovery.« less

  18. The Science DMZ: A Network Design Pattern for Data-Intensive Science

    SciTech Connect (OSTI)

    Dart, Eli; Rotman, Lauren; Tierney, Brian; Hester, Mary; Zurawski, Jason

    2013-08-13

    The ever-increasing scale of scientific data has become a significant challenge for researchers that rely on networks to interact with remote computing systems and transfer results to collaborators worldwide. Despite the availability of high-capacity connections, scientists struggle with inadequate cyberinfrastructure that cripples data transfer performance, and impedes scientific progress. The Science DMZ paradigm comprises a proven set of network design patterns that collectively address these problems for scientists. We explain the Science DMZ model, including network architecture, system configuration, cybersecurity, and performance tools, that creates an optimized network environment for science. We describe use cases from universities, supercomputing centers and research laboratories, highlighting the effectiveness of the Science DMZ model in diverse operational settings. In all, the Science DMZ model is a solid platform that supports any science workflow, and flexibly accommodates emerging network technologies. As a result, the Science DMZ vastly improves collaboration, accelerating scientific discovery.

  19. Whole Brain Irradiation With Hippocampal Sparing and Dose Escalation on Multiple Brain Metastases: A Planning Study on Treatment Concepts

    SciTech Connect (OSTI)

    Prokic, Vesna; Wiedenmann, Nicole; Fels, Franziska; Schmucker, Marianne; Nieder, Carsten; Institute of Clinical Medicine, Faculty of Health Sciences, University of Tromso, Tromso ; Grosu, Anca-Ligia

    2013-01-01

    Purpose: To develop a new treatment planning strategy in patients with multiple brain metastases. The goal was to perform whole brain irradiation (WBI) with hippocampal sparing and dose escalation on multiple brain metastases. Two treatment concepts were investigated: simultaneously integrated boost (SIB) and WBI followed by stereotactic fractionated radiation therapy sequential concept (SC). Methods and Materials: Treatment plans for both concepts were calculated for 10 patients with 2-8 brain metastases using volumetric modulated arc therapy. In the SIB concept, the prescribed dose was 30 Gy in 12 fractions to the whole brain and 51 Gy in 12 fractions to individual brain metastases. In the SC concept, the prescription was 30 Gy in 12 fractions to the whole brain followed by 18 Gy in 2 fractions to brain metastases. All plans were optimized for dose coverage of whole brain and lesions, simultaneously minimizing dose to the hippocampus. The treatment plans were evaluated on target coverage, homogeneity, and minimal dose to the hippocampus and organs at risk. Results: The SIB concept enabled more successful sparing of the hippocampus; the mean dose to the hippocampus was 7.55 {+-} 0.62 Gy and 6.29 {+-} 0.62 Gy, respectively, when 5-mm and 10-mm avoidance regions around the hippocampus were used, normalized to 2-Gy fractions. In the SC concept, the mean dose to hippocampus was 9.8 {+-} 1.75 Gy. The mean dose to the whole brain (excluding metastases) was 33.2 {+-} 0.7 Gy and 32.7 {+-} 0.96 Gy, respectively, in the SIB concept, for 5-mm and 10-mm hippocampus avoidance regions, and 37.23 {+-} 1.42 Gy in SC. Conclusions: Both concepts, SIB and SC, were able to achieve adequate whole brain coverage and radiosurgery-equivalent dose distributions to individual brain metastases. The SIB technique achieved better sparing of the hippocampus, especially when a10-mm hippocampal avoidance region was used.

  20. Regulation of brain copper homeostasis by the brain barrier systems: Effects of Fe-overload and Fe-deficiency

    SciTech Connect (OSTI)

    Monnot, Andrew D.; Behl, Mamta; Ho, Sanna; Zheng, Wei

    2011-11-15

    Maintaining brain Cu homeostasis is vital for normal brain function. The role of systemic Fe deficiency (FeD) or overload (FeO) due to metabolic diseases or environmental insults in Cu homeostasis in the cerebrospinal fluid (CSF) and brain tissues remains unknown. This study was designed to investigate how blood-brain barrier (BBB) and blood-SCF barrier (BCB) regulated Cu transport and how FeO or FeD altered brain Cu homeostasis. Rats received an Fe-enriched or Fe-depleted diet for 4 weeks. FeD and FeO treatment resulted in a significant increase (+ 55%) and decrease (- 56%) in CSF Cu levels (p < 0.05), respectively; however, neither treatment had any effect on CSF Fe levels. The FeD, but not FeO, led to significant increases in Cu levels in brain parenchyma and the choroid plexus. In situ brain perfusion studies demonstrated that the rate of Cu transport into the brain parenchyma was significantly faster in FeD rats (+ 92%) and significantly slower (- 53%) in FeO rats than in controls. In vitro two chamber Transwell transepithelial transport studies using primary choroidal epithelial cells revealed a predominant efflux of Cu from the CSF to blood compartment by the BCB. Further ventriculo-cisternal perfusion studies showed that Cu clearance by the choroid plexus in FeD animals was significantly greater than control (p < 0.05). Taken together, our results demonstrate that both the BBB and BCB contribute to maintain a stable Cu homeostasis in the brain and CSF. Cu appears to enter the brain primarily via the BBB and is subsequently removed from the CSF by the BCB. FeD has a more profound effect on brain Cu levels than FeO. FeD increases Cu transport at the brain barriers and prompts Cu overload in the CNS. The BCB plays a key role in removing the excess Cu from the CSF.

  1. Business networking and coaching at your doorstep

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

    Business networking and coaching at your doorstep Community Connections: Your link to news and opportunities from Los Alamos National Laboratory Latest Issue:Mar. 2016 all issues All Issues » submit Business networking and coaching at your doorstep Network facilitators lend a helping hand to northern New Mexico entrepreneurs June 1, 2014 Andrea Gottschalk, Los Alamos Connect network facilitator for San Miguel County. Andrea Gottschalk, Los Alamos Connect network facilitator for San Miguel

  2. Insight in the Brain: The Cognitive and Neural Bases of Eureka Moments

    SciTech Connect (OSTI)

    Beeman, Mark

    2013-04-03

    Where do new ideas come from? Although all new ideas build on old, this can happen in different ways. Some new ideas, or solutions to old problems, are achieved through methodical, analytical processing. Other new ideas come about in a sudden burst of insight, often based on or generating a restructured view of the problem itself. Behavioral, brain imaging, and eye-tracking results all reveal distinct cortical networks contributing to insight solving, as contrasted with analytic solving. Consistently, the way in which people solve problems appears to relate to the way they engage attention and cognitive control: across time, across moods, and across individuals. Insight is favored when people can disengage from strong stimuli and associations - figuratively and literally looking "outside the box" of the problem to suddenly solve with a new idea.

  3. Differential Network Analyses of Alzheimer’s Disease Identify Early Events in Alzheimer’s Disease Pathology

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Xia, Jing; Rocke, David M.; Perry, George; Ray, Monika

    2014-01-01

    In late-onset Alzheimer’s disease (AD), multiple brain regions are not affected simultaneously. Comparing the gene expression of the affected regions to identify the differences in the biological processes perturbed can lead to greater insight into AD pathogenesis and early characteristics. We identified differentially expressed (DE) genes from single cell microarray data of four AD affected brain regions: entorhinal cortex (EC), hippocampus (HIP), posterior cingulate cortex (PCC), and middle temporal gyrus (MTG). We organized the DE genes in the four brain regions into region-specific gene coexpression networks. Differential neighborhood analyses in the coexpression networks were performed to identify genes with lowmore » topological overlap (TO) of their direct neighbors. The low TO genes were used to characterize the biological differences between two regions. Our analyses show that increased oxidative stress, along with alterations in lipid metabolism in neurons, may be some of the very early events occurring in AD pathology. Cellular defense mechanisms try to intervene but fail, finally resulting in AD pathology as the disease progresses. Furthermore, disease annotation of the low TO genes in two independent protein interaction networks has resulted in association between cancer, diabetes, renal diseases, and cardiovascular diseases.« less

  4. New Incubator Network to Help Clean-Energy Entrepreneurs - News Releases |

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

    NREL New Incubator Network to Help Clean-Energy Entrepreneurs February 4, 2015 The Energy Department's National Renewable Energy Laboratory (NREL) and the Electric Power Research Institute (EPRI) have launched the Clean Energy Incubator Network. The program, funded by the Energy Department, aims to improve the performance of clean energy business incubators, connect critical industry and energy sector partners, and advance clean energy technologies emerging from universities and federal

  5. Flexible network wireless transceiver and flexible network telemetry transceiver

    DOE Patents [OSTI]

    Brown, Kenneth D. (Grain Valley, MO)

    2008-08-05

    A transceiver for facilitating two-way wireless communication between a baseband application and other nodes in a wireless network, wherein the transceiver provides baseband communication networking and necessary configuration and control functions along with transmitter, receiver, and antenna functions to enable the wireless communication. More specifically, the transceiver provides a long-range wireless duplex communication node or channel between the baseband application, which is associated with a mobile or fixed space, air, water, or ground vehicle or other platform, and other nodes in the wireless network or grid. The transceiver broadly comprises a communication processor; a flexible telemetry transceiver including a receiver and a transmitter; a power conversion and regulation mechanism; a diplexer; and a phased array antenna system, wherein these various components and certain subcomponents thereof may be separately enclosed and distributable relative to the other components and subcomponents.

  6. Improving Energy Efficiency by Developing Components for Distributed

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

    Cooling and Heating Based on Thermal Comfort Modeling[ Thermoelectric (TE) HVAC ] | Department of Energy Modeling[ Thermoelectric (TE) HVAC ] Improving Energy Efficiency by Developing Components for Distributed Cooling and Heating Based on Thermal Comfort Modeling[ Thermoelectric (TE) HVAC ] Discusses results from TE HVAC project to add detail to a human thermal comfort model and further allow load reduction in the climate control energy through a distributed TE network PDF icon

  7. Method and apparatus for reducing the harmonic currents in alternating-current distribution networks

    DOE Patents [OSTI]

    Beverly, L.H.; Hance, R.D.; Kristalinski, A.L.; Visser, A.T.

    1996-11-19

    An improved apparatus and method reduce the harmonic content of AC line and neutral line currents in polyphase AC source distribution networks. The apparatus and method employ a polyphase Zig-Zag transformer connected between the AC source distribution network and a load. The apparatus and method also employs a mechanism for increasing the source neutral impedance of the AC source distribution network. This mechanism can consist of a choke installed in the neutral line between the AC source and the Zig-Zag transformer. 23 figs.

  8. Method and apparatus for reducing the harmonic currents in alternating-current distribution networks

    DOE Patents [OSTI]

    Beverly, Leon H. (Lockport, IL); Hance, Richard D. (Elburn, IL); Kristalinski, Alexandr L. (Naperville, IL); Visser, Age T. (Geneva, IL)

    1996-01-01

    An improved apparatus and method reduce the harmonic content of AC line and neutral line currents in polyphase AC source distribution networks. The apparatus and method employ a polyphase Zig-Zag transformer connected between the AC source distribution network and a load. The apparatus and method also employs a mechanism for increasing the source neutral impedance of the AC source distribution network. This mechanism can consist of a choke installed in the neutral line between the AC source and the Zig-Zag transformer.

  9. What Is the Optimal Treatment of Large Brain Metastases? An Argument for a Multidisciplinary Approach

    SciTech Connect (OSTI)

    Choi, Clara Y.H.; Chang, Steven D.; Gibbs, Iris C.; Adler, John R.; Harsh, Griffith R.; Atalar, Banu; Lieberson, Robert E.; Soltys, Scott G.

    2012-11-01

    Purpose: Single-modality treatment of large brain metastases (>2 cm) with whole-brain irradiation, stereotactic radiosurgery (SRS) alone, or surgery alone is not effective, with local failure (LF) rates of 50% to 90%. Our goal was to improve local control (LC) by using multimodality therapy of surgery and adjuvant SRS targeting the resection cavity. Patients and Methods: We retrospectively evaluated 97 patients with brain metastases >2 cm in diameter treated with surgery and cavity SRS. Local and distant brain failure (DF) rates were analyzed with competing risk analysis, with death as a competing risk. The overall survival rate was calculated by the Kaplain-Meier product-limit method. Results: The median imaging follow-up duration for all patients was 10 months (range, 1-80 months). The 12-month cumulative incidence rates of LF, with death as a competing risk, were 9.3% (95% confidence interval [CI], 4.5%-16.1%), and the median time to LF was 6 months (range, 3-17 months). The 12-month cumulative incidence rate of DF, with death as a competing risk, was 53% (95% CI, 43%-63%). The median survival time for all patients was 15.6 months. The median survival times for recursive partitioning analysis classes 1, 2, and 3 were 33.8, 13.7, and 9.0 months, respectively (p = 0.022). On multivariate analysis, Karnofsky Performance Status ({>=}80 vs. <80; hazard ratio 0.54; 95% CI 0.31-0.94; p = 0.029) and maximum preoperative tumor diameter (hazard ratio 1.41; 95% CI 1.08-1.85; p = 0.013) were associated with survival. Five patients (5%) required intervention for Common Terminology Criteria for Adverse Events v4.02 grade 2 and 3 toxicity. Conclusion: Surgery and adjuvant resection cavity SRS yields excellent LC of large brain metastases. Compared with other multimodality treatment options, this approach allows patients to avoid or delay whole-brain irradiation without compromising LC.

  10. Browse by Discipline -- E-print Network Subject Pathways: Physics...

    Office of Scientific and Technical Information (OSTI)

    ... Jong Chul -Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technolog(e, Jong Chul -Department of Bio and Brain Engineering, Korea Advanced ...

  11. Browse by Discipline -- E-print Network Subject Pathways: Materials...

    Office of Scientific and Technical Information (OSTI)

    J. O'Toole) - School of Behavioral and Brain Sciences, University of Texas at Dallas ... Oliva, Aude (Aude Oliva) - Department of Brain and Cognitive Science, Massachusetts ...

  12. Improved cycling cryopump

    DOE Patents [OSTI]

    Batzer, T.H.; Call, W.R.

    1984-12-04

    The present invention is designed to achieve continuous high efficiency cryopumping of a vacuum vessel by improving upon and combining in a novel way the cryopumping in a novel way the cryopumping methods. The invention consists of a continuous operation cryopump, with movable louvres, with a high efficiency pumping apparatus. The pumping apparatus includes three cryogenic tubes. They are constructed of a substance of high thermal conductivity, such as aluminum and their exterior surfaces are cryogenic condensing surfaces. Through their interior liquid or gaseous helium from two reservoirs can be made to flow, alternately promoting extreme cooling or allowing some warming.

  13. Improved ion detector

    DOE Patents [OSTI]

    Tullis, A.M.

    1986-01-30

    An improved ion detector device of the ionization detection device chamber type comprises an ionization chamber having a central electrode therein surrounded by a cylindrical electrode member within the chamber with a collar frictionally fitted around at least one of the electrodes. The collar has electrical contact means carried in an annular groove in an inner bore of the collar to contact the outer surface of the electrode to provide electrical contact between an external terminal and the electrode without the need to solder leads to the electrode.

  14. Improving carbon fixation pathways

    SciTech Connect (OSTI)

    Ducat, DC; Silver, PA

    2012-08-01

    A recent resurgence in basic and applied research on photosynthesis has been driven in part by recognition that fulfilling future food and energy requirements will necessitate improvements in crop carbon-fixation efficiencies. Photosynthesis in traditional terrestrial crops is being reexamined in light of molecular strategies employed by photosynthetic microbes to enhance the activity of the Calvin cycle. Synthetic biology is well-situated to provide original approaches for compartmentalizing and enhancing photosynthetic reactions in a species independent manner. Furthermore, the elucidation of alternative carbon-fixation routes distinct from the Calvin cycle raises possibilities that novel pathways and organisms can be utilized to fix atmospheric carbon dioxide into useful materials.

  15. Improved ion source

    DOE Patents [OSTI]

    Leung, K.N.; Ehlers, K.W.

    1982-05-04

    A magnetic filter for an ion source reduces the production of undesired ion species and improves the ion beam quality. High-energy ionizing electrons are confined by the magnetic filter to an ion source region, where the high-energy electrons ionize gas molecules. One embodiment of the magnetic filter uses permanent magnets oriented to establish a magnetic field transverse to the direction of travel of ions from the ion source region to the ion extraction region. In another embodiment, low energy 16 eV electrons are injected into the ion source to dissociate gas molecules and undesired ion species into desired ion species,

  16. Track 10: Feedback and Improvement

    Broader source: Energy.gov [DOE]

    ISM Workshop Presentations Knoxville Convention Center, Knoxville, TN August 2009 Track 10: Feedback and Improvement

  17. Network user`s guide

    SciTech Connect (OSTI)

    McGrady, P.W.

    1994-12-01

    NETWORK is a FORTRAN code used to model process flow systems in the gaseous diffusion plants at Portsmouth, Ohio and Paducah, Kentucky, operated by the United States Enrichment Corporation. It can handle a wide range of components and several different types of controllers. NETWORK can be run in either a steady-state mode or a transient mode. In the transient mode many different types of perturbations may be modeled. It is currently being used to model taking a cell off-stream in a gaseous diffusion plant. A brief description of the code is given, and process equipment models and input data are discussed.

  18. ARM - Field Campaign - COSMOS Network

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

    govCampaignsCOSMOS Network Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : COSMOS Network 2010.08.05 - 2017.03.01 Lead Scientist : Marek Zreda For data sets, see below. Abstract Cosmic-ray soil moisture probes are installed and operating at the SGP. The probe measures soil moisture in the area ca. 350 m around it. The raw data (neutron counts, pressure, temperature, battery and instrument voltages, and miscellaneous data) are being

  19. Virtualized Network Control. Final Report

    SciTech Connect (OSTI)

    Ghani, Nasir

    2013-02-01

    This document is the final report for the Virtualized Network Control (VNC) project, which was funded by the United States Department of Energy (DOE) Office of Science. This project was also informally referred to as Advanced Resource Computation for Hybrid Service and TOpology NEtworks (ARCHSTONE). This report provides a summary of the project's activities, tasks, deliverable, and accomplishments. It also provides a summary of the documents, software, and presentations generated as part of this projects activities. Namely, the Appendix contains an archive of the deliverables, documents, and presentations generated a part of this project.

  20. The network architecture and site test of DCIS in Lungmen nuclear power station

    SciTech Connect (OSTI)

    Lee, C. K.

    2006-07-01

    The Lungmen Nuclear Power Station (LMNPS) is located in North-Eastern Seashore of Taiwan. LMNPP has two units. Each unit generates 1350 Megawatts. It is the first ABWR Plant in Taiwan and is under-construction now. Due to contractual arrangement, there are seven large I and C suppliers/designers, which are GE NUMAC, DRS, Invensys, GEIS, Hitachi, MHI, and Stone and Webster company. The Distributed Control and Information System (DCIS) in Lungmen are fully integrated with the state-of-the-art computer and network technology. General Electric is the leading designer for integration of DCIS. This paper presents Network Architecture and the Site Test of DCIS. The network architectures are follows. GE NUMAC System adopts the point to point architecture, DRS System adopts Ring type architecture with SCRAMNET protocol, Inevnsys system adopts IGiga Byte Backbone mesh network with Rapid Spanning Tree Protocol, GEIS adopts Ethernet network with EGD protocol, Hitachi adopts ring type network with proprietary protocol. MHI adopt Ethernet network with UDP. The data-links are used for connection between different suppliers. The DCIS architecture supports the plant automation, the alarm prioritization and alarm suppression, and uniform MMI screen for entire plant. The Test Program regarding the integration of different network architectures and Initial DCIS architecture Setup for 161KV Energization will be discussed. Test tool for improving site test schedule, and lessons learned from FAT will be discussed too. And conclusions are at the end of this paper. (authors)

  1. Better Buildings Network View | March 2014 | Department of Energy

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

    Better Buildings Network View | March 2014 Better Buildings Network View | March 2014 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. PDF icon Better Buildings Network View March 2014 More Documents & Publications Better Buildings Network View | June 2015 Better Buildings Network View | May 2015 Better Buildings Network View | April 2014 Home About the Better Buildings Residential Network How to Join Members

  2. Gamma Knife Stereotactic Radiosurgery as Salvage Therapy After Failure of Whole-Brain Radiotherapy in Patients With Small-Cell Lung Cancer

    SciTech Connect (OSTI)

    Harris, Sunit; Chan, Michael D.; Lovato, James F.; Ellis, Thomas L.; Tatter, Stephen B.; Bourland, J. Daniel; Munley, Michael T.; Guzman, Allan F. de; Shaw, Edward G.; Urbanic, James J.; McMullen, Kevin P.

    2012-05-01

    Purpose: Radiosurgery has been successfully used in selected cases to avoid repeat whole-brain irradiation (WBI) in patients with multiple brain metastases of most solid tumor histological findings. Few data are available for the use of radiosurgery for small-cell lung cancer (SCLC). Methods and Materials: Between November 1999 and June 2009, 51 patients with SCLC and previous WBI and new brain metastases were treated with GammaKnife stereotactic radiosurgery (GKSRS). A median dose of 18 Gy (range, 10-24 Gy) was prescribed to the margin of each metastasis. Patients were followed with serial imaging. Patient electronic records were reviewed to determine disease-related factors and clinical outcomes after GKSRS. Local and distant brain failure rates, overall survival, and likelihood of neurologic death were determined based on imaging results. The Kaplan-Meier method was used to determine survival and local and distant brain control. Cox proportional hazard regression was performed to determine strength of association between disease-related factors and survival. Results: Median survival time for the entire cohort was 5.9 months. Local control rates at 1 and 2 years were 57% and 34%, respectively. Distant brain failure rates at 1 and 2 years were 58% and 75%, respectively. Fifty-three percent of patients ultimately died of neurologic death. On multivariate analysis, patients with stable (hazard ratio [HR] = 2.89) or progressive (HR = 6.98) extracranial disease (ECD) had worse overall survival than patients without evidence of ECD (p = 0.00002). Concurrent chemotherapy improved local control (HR = 89; p = 0.006). Conclusions: GKSRS represents a feasible salvage option in patients with SCLC and brain metastases for whom previous WBI has failed. The status of patients' ECD is a dominant factor predictive of overall survival. Local control may be inferior to that seen with other cancer histological results, although the use of concurrent chemotherapy may help to improve this.

  3. Deceleration Orbit Improvements

    SciTech Connect (OSTI)

    Church, M.

    1991-04-26

    During the accelerator studies period of 12/90-1/91 much study time was dedicated to improving the E760 deceleration ramps. 4 general goals were in mind: (1) Reduce the relative orbit deviations from the nominal reference orbit as much as possible. This reduces the potential error in the orbit length calculation - which is the primary source of error in the beam energy calculation. (2) Maximize the transverse apertures. This minimizes beam loss during deceleration and during accidental beam blow-ups. (3) Measure and correct lattice parameters. Knowledge of {gamma}{sub T}, {eta}, Q{sub h}, Q{sub v}, and the dispersion in the straight sections allows for a more accurate energy calculation and reliable SYNCH calculations. (4) Minimize the coupling. This allows one to discern between horizontal and vertical tunes.

  4. Regulatory Streamlining and Improvement

    SciTech Connect (OSTI)

    Mark A. Carl

    2006-07-11

    The Interstate Oil and Gas Compact Commission (IOGCC) engaged in numerous projects outlined under the scope of work discussed in the United States Department of Energy (DOE) grant number DE-FC26-04NT15456 awarded to the IOGCC. Numerous projects were completed that were extremely valuable to state oil and gas agencies as a result of work performed utilizing resources provided by the grant. There are numerous areas in which state agencies still need assistance. This additional assistance will need to be addressed under future scopes of work submitted annually to DOE's Project Officer for this grant. This report discusses the progress of the projects outlined under the grant scope of work for the 2005-2006 areas of interest, which are as follows: Area of Interest No. 1--Regulatory Streamlining and Improvement: This area of interest continues to support IOGCC's regulatory streamlining efforts that include the identification and elimination of unnecessary duplications of efforts between and among state and federal programs dealing with exploration and production on public lands. Area of Interest No. 2--Technology: This area of interest seeks to improve efficiency in states through the identification of technologies that can reduce costs. Area of Interest No. 3--Training and Education: This area of interest is vital to upgrading the skills of regulators and industry alike. Within the National Energy Policy, there are many appropriate training and education opportunities. Education was strongly endorsed by the President's National Energy Policy Development group. Acting through the governors offices, states are very effective conduits for the dissemination of energy education information. While the IOGCC favors the development of a comprehensive, long-term energy education plan, states are also supportive of immediate action on important concerns, such as energy prices, availability and conservation. Area of Interest No. 4--Resource Assessment and Development: This area of interest relates directly to helping maximize production of domestic oil and natural gas resources, including areas that are under explored or have not been adequately defined.

  5. "USING LASERS TO CONTROL AND PROBE THE BRAIN", Prof. Adam Cohen...

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

    "USING LASERS TO CONTROL AND PROBE THE BRAIN", Prof. Adam Cohen, Department of Physics, Harvard University USING LASERS TO CONTROL AND PROBE THE BRAIN PPPL Entrance Procedures ...

  6. United Nations Energy Knowledge Network (UN-Energy) | Open Energy...

    Open Energy Info (EERE)

    Energy Knowledge Network (UN-Energy) Jump to: navigation, search Logo: United Nations Energy Knowledge Network (UN-Energy) Name: United Nations Energy Knowledge Network (UN-Energy)...

  7. About the Better Buildings Residential Network | Department of...

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

    About the Better Buildings Residential Network About the Better Buildings Residential Network The Better Buildings Residential Network connects energy efficiency programs and ...

  8. Better Buildings Residential Network: Lessons Learned: Peer Exchange...

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

    Network: Lessons Learned: Peer Exchange Calls Better Buildings Residential Network: Lessons Learned: Peer Exchange Calls Better Buildings Residential Network: Lessons Learned: Peer...

  9. Austin Solar Energy Entrepreneurs Network | Open Energy Information

    Open Energy Info (EERE)

    Entrepreneurs Network Jump to: navigation, search Logo: Austin Solar Energy Entrepreneurs Network Name: Austin Solar Energy Entrepreneurs Network Place: Austin, Texas Zip: 78701...

  10. UNEP-Southeast Asia Climate Change Network | Open Energy Information

    Open Energy Info (EERE)

    Southeast Asia Climate Change Network Jump to: navigation, search Logo: UNEP-Southeast Asia Climate Change Network Name UNEP-Southeast Asia Climate Change Network AgencyCompany...

  11. SDN for Science Networks Inder Monga Eric Pouyoul, Chin Guok...

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

    SDN for Science Networks Inder Monga Eric Pouyoul, Chin Guok and Eli Dart Energy Sciences Network, Scientific Networking Division Lawrence Berkeley National Laboratory U.S....

  12. Renewable Energy Business Network - Boston | Open Energy Information

    Open Energy Info (EERE)

    Network - Boston Jump to: navigation, search Name: Clean Economy Network FoundationRenewable Energy Business Network - Boston Address: 55 Union Street Place: Boston, MA Zip: 02108...

  13. Prediction and Control of Network Cascade: Example of Power Grid...

    Office of Scientific and Technical Information (OSTI)

    Conference: Prediction and Control of Network Cascade: Example of Power Grid or Networking ... Citation Details In-Document Search Title: Prediction and Control of Network Cascade: ...

  14. Better Buildings Network View | September 2015 | Department of...

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

    Better Buildings Network View | September 2015 Better Buildings Network View | September 2015 The Better Buildings Network View monthly newsletter from the U.S. Department of...

  15. Better Buildings Network View | May 2015 | Department of Energy

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

    5 Better Buildings Network View | May 2015 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. PDF icon...

  16. Better Buildings Network View | May 2014 | Department of Energy

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

    4 Better Buildings Network View | May 2014 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. PDF icon...

  17. Better Buildings Network View | February 2014 | Department of...

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

    4 Better Buildings Network View | February 2014 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. PDF...

  18. Better Buildings Network View | April 2014 | Department of Energy

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

    4 Better Buildings Network View | April 2014 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. PDF...

  19. Better Buildings Network View | July-August 2014 | Department...

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

    4 Better Buildings Network View | July-August 2014 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network....

  20. Better Buildings Network View | March 2014 | Department of Energy

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

    4 Better Buildings Network View | March 2014 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. PDF...

  1. Better Buildings Network View | July-August 2015 | Department...

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

    5 Better Buildings Network View | July-August 2015 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network....

  2. Better Buildings Network View | November 2014 | Department of...

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

    4 Better Buildings Network View | November 2014 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. PDF...

  3. Better Buildings Network View | January 2014 | Department of...

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

    4 Better Buildings Network View | January 2014 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. PDF...

  4. Better Buildings Network View | December 2015 | Department of...

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

    5 Better Buildings Network View | December 2015 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. PDF...

  5. Better Buildings Network View | June 2015 | Department of Energy

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

    5 Better Buildings Network View | June 2015 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. PDF icon...

  6. Better Buildings Network View | December 2014 | Department of...

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

    4 Better Buildings Network View | December 2014 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. PDF...

  7. Better Buildings Network View | November 2015 | Department of...

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

    5 Better Buildings Network View | November 2015 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. PDF...

  8. Better Buildings Network View | October 2014 | Department of...

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

    4 Better Buildings Network View | October 2014 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. PDF...

  9. Better Buildings Network View | April 2015 | Department of Energy

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

    5 Better Buildings Network View | April 2015 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. PDF...

  10. Better Buildings Network View | January 2015 | Department of...

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

    5 Better Buildings Network View | January 2015 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. PDF...

  11. Better Buildings Network View | February 2015 | Department of...

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

    5 Better Buildings Network View | February 2015 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. PDF...

  12. Better Buildings Network View | June 2014 | Department of Energy

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

    4 Better Buildings Network View | June 2014 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. PDF icon...

  13. Better Buildings Network View | March 2015 | Department of Energy

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

    5 Better Buildings Network View | March 2015 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. PDF...

  14. Better Buildings Network View | October 2015 | Department of...

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

    5 Better Buildings Network View | October 2015 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. PDF...

  15. Computational Method for Improved Forewarning of Critical Events...

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

    human brain waves and chest sounds, motors, and electrical devices. Examples of possible biomedical forewarning include distinguishing between preseizure and nonseizure brain ...

  16. Host Event Based Network Monitoring

    SciTech Connect (OSTI)

    Jonathan Chugg

    2013-01-01

    The purpose of INLs research on this project is to demonstrate the feasibility of a host event based network monitoring tool and the effects on host performance. Current host based network monitoring tools work on polling which can miss activity if it occurs between polls. Instead of polling, a tool could be developed that makes use of event APIs in the operating system to receive asynchronous notifications of network activity. Analysis and logging of these events will allow the tool to construct the complete real-time and historical network configuration of the host while the tool is running. This research focused on three major operating systems commonly used by SCADA systems: Linux, WindowsXP, and Windows7. Windows 7 offers two paths that have minimal impact on the system and should be seriously considered. First is the new Windows Event Logging API, and, second, Windows 7 offers the ALE API within WFP. Any future work should focus on these methods.

  17. Organization of growing random networks

    SciTech Connect (OSTI)

    Krapivsky, P. L.; Redner, S.

    2001-06-01

    The organizational development of growing random networks is investigated. These growing networks are built by adding nodes successively, and linking each to an earlier node of degree k with an attachment probability A{sub k}. When A{sub k} grows more slowly than linearly with k, the number of nodes with k links, N{sub k}(t), decays faster than a power law in k, while for A{sub k} growing faster than linearly in k, a single node emerges which connects to nearly all other nodes. When A{sub k} is asymptotically linear, N{sub k}(t){similar_to}tk{sup {minus}{nu}}, with {nu} dependent on details of the attachment probability, but in the range 2{lt}{nu}{lt}{infinity}. The combined age and degree distribution of nodes shows that old nodes typically have a large degree. There is also a significant correlation in the degrees of neighboring nodes, so that nodes of similar degree are more likely to be connected. The size distributions of the in and out components of the network with respect to a given node{emdash}namely, its {open_quotes}descendants{close_quotes} and {open_quotes}ancestors{close_quotes}{emdash}are also determined. The in component exhibits a robust s{sup {minus}2} power-law tail, where s is the component size. The out component has a typical size of order lnt, and it provides basic insights into the genealogy of the network.

  18. Global Renewable Energy Network | Open Energy Information

    Open Energy Info (EERE)

    Renewable Energy Network (GReEN) Name: Global Renewable Energy Network (GReEN) Address: P.O. Box 1999 Place: Massapequa, NY Zip: 11758 Region: Northeast - NY NJ CT PA Area Number...

  19. Computer network control plane tampering monitor

    DOE Patents [OSTI]

    Michalski, John T.; Tarman, Thomas D.; Black, Stephen P.; Torgerson, Mark D.

    2010-06-08

    A computer network control plane tampering monitor that detects unauthorized alteration of a label-switched path setup for an information packet intended for transmission through a computer network.

  20. Refines Efficiency Improvement

    SciTech Connect (OSTI)

    WRI

    2002-05-15

    Refinery processes that convert heavy oils to lighter distillate fuels require heating for distillation, hydrogen addition or carbon rejection (coking). Efficiency is limited by the formation of insoluble carbon-rich coke deposits. Heat exchangers and other refinery units must be shut down for mechanical coke removal, resulting in a significant loss of output and revenue. When a residuum is heated above the temperature at which pyrolysis occurs (340 C, 650 F), there is typically an induction period before coke formation begins (Magaril and Aksenova 1968, Wiehe 1993). To avoid fouling, refiners often stop heating a residuum before coke formation begins, using arbitrary criteria. In many cases, this heating is stopped sooner than need be, resulting in less than maximum product yield. Western Research Institute (WRI) has developed innovative Coking Index concepts (patent pending) which can be used for process control by refiners to heat residua to the threshold, but not beyond the point at which coke formation begins when petroleum residua materials are heated at pyrolysis temperatures (Schabron et al. 2001). The development of this universal predictor solves a long standing problem in petroleum refining. These Coking Indexes have great potential value in improving the efficiency of distillation processes. The Coking Indexes were found to apply to residua in a universal manner, and the theoretical basis for the indexes has been established (Schabron et al. 2001a, 2001b, 2001c). For the first time, a few simple measurements indicates how close undesired coke formation is on the coke formation induction time line. The Coking Indexes can lead to new process controls that can improve refinery distillation efficiency by several percentage points. Petroleum residua consist of an ordered continuum of solvated polar materials usually referred to as asphaltenes dispersed in a lower polarity solvent phase held together by intermediate polarity materials usually referred to as resins. The Coking Indexes focus on the amount of these intermediate polarity species since coke formation begins when these are depleted. Currently the Coking Indexes are determined by either titration or solubility measurements which must be performed in a laboratory. In the current work, various spectral, microscopic, and thermal techniques possibly leading to on-line analysis were explored for measuring the Coking Indexes.

  1. Solar Instructor Training Network | Department of Energy

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

    Instructor Training Network Solar Instructor Training Network The Solar Instructor Training Network promotes high-quality training in the installation of solar technologies. Nine regional resource and training providers support the professional development of trainers and instructors of solar photovoltaic and solar heating and cooling technologies across the country. The goal of the Solar Instructor Training Network is to accelerate market adoption of solar technologies by ensuring that

  2. Fermilab | Science at Fermilab | Computing | Networking

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

    Detectors and Computing Detectors and Computing Computing Networking Physicists are constantly exchanging information, within Fermilab and between Fermilab and collaborating institutions. They do this from the design phase of an experiment to long after they have finished collecting data. To move huge amounts of data from one place to another, Fermilab needs high-performance networking. For years, Fermilab has been the largest user of Energy Services Network, or ESnet, a network the Department

  3. Mesoscale Simulations of Coarsening in GB Networks

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

    Mukul Kumar is the Principal Investigator for Mesoscale Simulations of Coarsening in GB Networks LLNL BES Programs Highlight Mesoscale Simulations of Coarsening in GB Networks The Phase Field Model evolves a grain boundary network with realistic network correlations, as seeded by a group-theory-based Monte Carlo model M. Tang, B. W. Reed, and M. Kumar, J. Appl. Phys. 112, 043505 (2012) V. Bulatov, B. W. Reed, and M. Kumar; "Grain boundary energy function for FCC metals," Physical

  4. Social Network and Communications Institutional Change Principle |

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

    Department of Energy Network and Communications Institutional Change Principle Social Network and Communications Institutional Change Principle Federal agencies can use social networks and communications to spark and reinforce behavior change for meeting sustainability goals. This principle is based on research findings showing that people and institutions often are strongly influenced by the behaviors and expectations of others. Methods The social network and communications behavior change

  5. ESnet: a Production IPv6 Network

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

    IPv6 Implementation Checklist ESnet IPv6 Mirror Servers ESnet IPv6 History ESnet supports Sandia and APNIC IPv6 Background Radiation research Network Performance Tools The ESnet Engineering Team Network R&D Software-Defined Networking (SDN) Experimental Network Testbeds Performance (perfSONAR) Software & Tools Development Data for Researchers Partnerships Publications Workshops Science Engagement Move your data Programs & Workshops Science Requirements Reviews Case Studies News

  6. Better Buildings Network View, July 2014

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

    Better Buildings Network View | July 2014 Browse the New Better Buildings Residential Network Website We invite you to visit the new Better Buildings Residential Network website launched on July 14, 2014. Visitors can find everything from how to join the Residential Network to the benefits of becoming a member. Following are a few highlights: Upcoming Peer Exchange Call information is listed on our Home page. Our Resources page, devoted to materials such as program newsletters and the U.S.

  7. Better Buildings Network View, March 2014

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

    From the Field Better Buildings Network View | March 2014 March 2014 Network Members Invited to Review Optional Program Benchmarking Guide The first Better Buildings Residential Network Next Steps voluntary initiative will Winter 2014: DOE finalizes benchmark programs so guide and pilots it with up to members can see how they nine Residential Network compare to others, and you members are invited to provide DOE evaluates feedback on a draft Guide Spring 2014: pilot and starts defining for

  8. Associative memory in phasing neuron networks

    SciTech Connect (OSTI)

    Nair, Niketh S; Bochove, Erik J.; Braiman, Yehuda

    2014-01-01

    We studied pattern formation in a network of coupled Hindmarsh-Rose model neurons and introduced a new model for associative memory retrieval using networks of Kuramoto oscillators. Hindmarsh-Rose Neural Networks can exhibit a rich set of collective dynamics that can be controlled by their connectivity. Specifically, we showed an instance of Hebb's rule where spiking was correlated with network topology. Based on this, we presented a simple model of associative memory in coupled phase oscillators.

  9. Solar Instructor Training Network | Department of Energy

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

    Soft Costs » Solar Instructor Training Network Solar Instructor Training Network The Solar Instructor Training Network promotes high-quality training in the installation of solar technologies. The U.S. Department of Energy SunShot Initiative created the Solar Instructor Training Network in 2009 to address the critical need for high-quality, local, accessible training in solar energy system design, installation, sales, and inspection. One national administrator and nine regional resource and

  10. IMPROVED BONDING METHOD

    DOE Patents [OSTI]

    Padgett, E.V. Jr.; Warf, D.H.

    1964-04-28

    An improved process of bonding aluminum to aluminum without fusion by ultrasonic vibrations plus pressure is described. The surfaces to be bonded are coated with an aqueous solution of alkali metal stearate prior to assembling for bonding. (AEC) O H19504 Present information is reviewed on steady state proliferation, differentiation, and maturation of blood cells in mammals. Data are cited from metabolic tracer studies, autoradiographic studies, cytologic studies, studies of hematopoietic response to radiation injuries, and computer analyses of blood cell production. A 3-step model for erythropoiesis and a model for granulocyte kinetics are presented. New approaches to the study of lymphocytopoiesis described include extracorporeal blood irradiation to deplete lymphocytic tissue without direct injury to the formative tissues as a means to study the stressed system, function control, and rates of proliferation. It is pointed out that present knowledge indicates that lymphocytes comprise a mixed family, with diverse life spans, functions, and migration patterns with apparent aimless recycling from modes to lymph to blood to nodes that has not yet been quantitated. Areas of future research are postulated. (70 references.) (C.H.)

  11. Networks in Buildings: Which Path Forward?

    SciTech Connect (OSTI)

    Nordman, Bruce

    2008-08-17

    To date, digital networks have principally been installed for connecting information technology devices, with more modest use in consumer electronics, security, and large building control systems. The next 20 years will see much greater deployment of networks in buildings of all types, and across all end uses. Most of these are likely to be introduced primarily for reasons other than energy efficiency, and add energy use for network interfaces and network products. Widespread networking could easily lead to increased energy use, and experience with IT and CE networks suggests this may be likely. Active engagement by energy efficiency professionals in the architecture and design of future networks could lead to their being a large and highly cost-effective tool for efficiency. However, network standards are complex and take many years to develop and negotiate so that lack of action on this in the near term may foreclose important opportunities for years or decades to come. Digital networks need to be common globally, providing another challenge to building systems and elements that are more commonly designed only for national or regional markets. Key future networks are lighting, climate control, and security/presence. This paper reviews some examples of past network designs and use and the lessons they hold for future building networks. It also highlights key needed areas for research, policy, and standards development.

  12. Trace Replay and Network Simulation Tool

    Energy Science and Technology Software Center (OSTI)

    2015-03-23

    TraceR is a trace reply tool built upon the ROSS-based CODES simulation framework. TraceR can be used for predicting network performances and understanding network behavior by simulating messaging in High Performance Computing applications on interconnection networks.

  13. Project Management Improvements Drive Progress

    Broader source: Energy.gov [DOE]

    WASHINGTON, D.C. – Improving project management has been a top priority of EM’s senior leadership.

  14. Improve Your Boiler's Combustion Efficiency

    Broader source: Energy.gov [DOE]

    This tip sheet outlines how to improve boiler combustion efficiency as part of an optimized steam system.

  15. WIST Talk: The Art of Networking video | Argonne National Laboratory

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

    WIST Talk: The Art of Networking video Share

  16. Categorical Exclusion Determinations: A1 | Department of Energy

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

    ... June 3, 2014 CX-012298: Categorical Exclusion Determination Wisconsin Biofuels Retail Availability Improvement Network (BRAIN) CX(s) Applied: A1, A9 Date: 06032014 Location(s): ...

  17. Categorical Exclusion Determinations: B5.22 | Department of Energy

    Office of Environmental Management (EM)

    ... June 3, 2014 CX-012297: Categorical Exclusion Determination Wisconsin Biofuels Retail Availability Improvement Network (BRAIN) - E85 Station Installation CX(s) Applied: B5.22 Date: ...

  18. The Network Completion Problem: Inferring Missing Nodes and Edges in Networks

    SciTech Connect (OSTI)

    Kim, M; Leskovec, J

    2011-11-14

    Network structures, such as social networks, web graphs and networks from systems biology, play important roles in many areas of science and our everyday lives. In order to study the networks one needs to first collect reliable large scale network data. While the social and information networks have become ubiquitous, the challenge of collecting complete network data still persists. Many times the collected network data is incomplete with nodes and edges missing. Commonly, only a part of the network can be observed and we would like to infer the unobserved part of the network. We address this issue by studying the Network Completion Problem: Given a network with missing nodes and edges, can we complete the missing part? We cast the problem in the Expectation Maximization (EM) framework where we use the observed part of the network to fit a model of network structure, and then we estimate the missing part of the network using the model, re-estimate the parameters and so on. We combine the EM with the Kronecker graphs model and design a scalable Metropolized Gibbs sampling approach that allows for the estimation of the model parameters as well as the inference about missing nodes and edges of the network. Experiments on synthetic and several real-world networks show that our approach can effectively recover the network even when about half of the nodes in the network are missing. Our algorithm outperforms not only classical link-prediction approaches but also the state of the art Stochastic block modeling approach. Furthermore, our algorithm easily scales to networks with tens of thousands of nodes.

  19. Better Buildings Network View | July-August 2015

    Broader source: Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  20. Better Buildings Residential Network Reporting and Benefits Template

    Broader source: Energy.gov [DOE]

    Better Buildings Residential Network Reporting and Benefits Template, from the U.S. Department of Energy Better Buildings Residential Network.

  1. Better Buildings Residential Network Reporting and Benefits FAQ

    Broader source: Energy.gov [DOE]

    Better Buildings Residential Network Reporting and Benefits FAQ, from the U.S. Department of Energy Better Buildings Residential Network.

  2. Better Buildings Network View | July-August 2014

    Broader source: Energy.gov [DOE]

    The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network.

  3. BetterBuildings Network View | September 2014

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

    September 2014 News From the Field Reorient Yourself With the Better Buildings Residential Network Whether you are new to the Better Buildings Residential Network, new to your residential energy efficiency programs, or just looking for a refresher on what the Network has to offer, please join us this Thursday, September 11, from 3:00 to 4:30 p.m. Eastern for a Residential Network member orientation webinar. Hear about the Residential Network's origins and get the answers to your most frequently

  4. On Building Inexpensive Network Capabilities

    SciTech Connect (OSTI)

    Shue, Craig A; Kalafut, Prof. Andrew; Allman, Mark; Taylor, Curtis R

    2011-01-01

    There are many deployed approaches for blocking unwanted traffic, either once it reaches the recipient's network, or closer to its point of origin. One of these schemes is based on the notion of traffic carrying capabilities that grant access to a network and/or end host. However, leveraging capabilities results in added complexity and additional steps in the communication process: Before communication starts a remote host must be vetted and given a capability to use in the subsequent communication. In this paper, we propose a lightweight mechanism that turns the answers provided by DNS name resolution---which Internet communication broadly depends on anyway---into capabilities. While not achieving an ideal capability system, we show the mechanism can be built from commodity technology and is therefore a pragmatic way to gain some of the key benefits of capabilities without requiring new infrastructure.

  5. Recovery Act: Energy Efficiency of Data Networks through Rate Adaptation (EEDNRA) - Final Technical Report

    SciTech Connect (OSTI)

    Matthew Andrews; Spyridon Antonakopoulos; Steve Fortune; Andrea Francini; Lisa Zhang

    2011-07-12

    This Concept Definition Study focused on developing a scientific understanding of methods to reduce energy consumption in data networks using rate adaptation. Rate adaptation is a collection of techniques that reduce energy consumption when traffic is light, and only require full energy when traffic is at full provisioned capacity. Rate adaptation is a very promising technique for saving energy: modern data networks are typically operated at average rates well below capacity, but network equipment has not yet been designed to incorporate rate adaptation. The Study concerns packet-switching equipment, routers and switches; such equipment forms the backbone of the modern Internet. The focus of the study is on algorithms and protocols that can be implemented in software or firmware to exploit hardware power-control mechanisms. Hardware power-control mechanisms are widely used in the computer industry, and are beginning to be available for networking equipment as well. Network equipment has different performance requirements than computer equipment because of the very fast rate of packet arrival; hence novel power-control algorithms are required for networking. This study resulted in five published papers, one internal report, and two patent applications, documented below. The specific technical accomplishments are the following: A model for the power consumption of switching equipment used in service-provider telecommunication networks as a function of operating state, and measured power-consumption values for typical current equipment. An algorithm for use in a router that adapts packet processing rate and hence power consumption to traffic load while maintaining performance guarantees on delay and throughput. An algorithm that performs network-wide traffic routing with the objective of minimizing energy consumption, assuming that routers have less-than-ideal rate adaptivity. An estimate of the potential energy savings in service-provider networks using feasibly-implementable rate adaptivity. A buffer-management algorithm that is designed to reduce the size of router buffers, and hence energy consumed. A packet-scheduling algorithm designed to minimize packet-processing energy requirements. Additional research is recommended in at least two areas: further exploration of rate-adaptation in network switching equipment, including incorporation of rate-adaptation in actual hardware, allowing experimentation in operational networks; and development of control protocols that allow parts of networks to be shut down while minimizing disruption to traffic flow in the network. The research is an integral part of a large effort within Bell Laboratories, Alcatel-Lucent, aimed at dramatic improvements in the energy efficiency of telecommunication networks. This Study did not explicitly consider any commercialization opportunities.

  6. Compact and mobile high resolution PET brain imager

    DOE Patents [OSTI]

    Majewski, Stanislaw; Proffitt, James

    2011-02-08

    A brain imager includes a compact ring-like static PET imager mounted in a helmet-like structure. When attached to a patient's head, the helmet-like brain imager maintains the relative head-to-imager geometry fixed through the whole imaging procedure. The brain imaging helmet contains radiation sensors and minimal front-end electronics. A flexible mechanical suspension/harness system supports the weight of the helmet thereby allowing for patient to have limited movements of the head during imaging scans. The compact ring-like PET imager enables very high resolution imaging of neurological brain functions, cancer, and effects of trauma using a rather simple mobile scanner with limited space needs for use and storage.

  7. Abnormal event identification in nuclear power plants using a neural network and knowledge processing

    SciTech Connect (OSTI)

    Ohga, Yukiharu; Seki, Hiroshi (Hitachi, Ltd. Energy Research Lab., Ibarakiken (Japan))

    1993-02-01

    The combination of a neural network and knowledge processing have been used to identify abnormal events that cause a reactor to scram in a nuclear power plant. The neural network recognizes the abnormal event from the change pattern of analog data for state variables, and this result is confirmed from digital data using a knowledge base of plant status when each event occurs. The event identification method is tested using test data based on simulated results of a transient analysis program for boiling water reactors. It is confirmed that a neural network can identify an event in which it has been trained even when the plant conditions, such as fuel burnup, differ from those used in the training and when the analog data contain white noise. The network does not mistakenly identify the nontrained event as a trained one. The method is feasible for event identification, and knowledge processing improves the reliability of the identification.

  8. Interstate Electrification Improvement Project

    SciTech Connect (OSTI)

    Puckette, Margaret; Kim, Jeff

    2015-07-01

    The Interstate Electrification Improvement Project, publicly known as the Shorepower Truck Electrification Project (STEP), started in May 2011 and ended in March 2015. The project grant was awarded by the Department of Energy’s Vehicles Technology Office in the amount of $22.2 million. It had three overarching missions: 1. Reduce the idling of Class 8 tractors when parked at truck stops, to reduce diesel fuel consumption and thus U.S. dependence on foreign petroleum; 2. Stimulate job creation and economic activity as part of the American Reinvestment and Recovery Act of 2009; 3. Reduce greenhouse gas emissions (GHG) from diesel combustion and the carbon footprint of the truck transportation industry. The project design was straightforward. First, build fifty Truck Stop Electrification (TSE) facilities in truck stop parking lots across the country so trucks could plug-in to 110V, 220V, or 480VAC, and shut down the engine instead of idling. These facilities were strategically located at fifty truck stops along major U.S. Interstates with heavy truck traffic. Approximately 1,350 connection points were installed, including 150 high-voltage electric standby Transport Refrigeration Unit (eTRU) plugs--eTRUs are capable of plugging in to shore power1 to cool the refrigerated trailer for loads such as produce, meats and ice cream. Second, the project provided financial incentives on idle reduction equipment to 5,000 trucks in the form of rebates, to install equipment compatible with shore power. This equipment enables drivers to shut down the main engine when parked, to heat or cool their cab, charge batteries, or use other household appliances without idling—a common practice that uses approximately 1 gallon of diesel per hour. The rebate recipients were intended to be the first fleets to plug into Shorepower to save diesel fuel and ensure there is significant population of shore power capable trucks. This two part project was designed to complement each other by providing: 1) the infrastructure to plug into and 2) the on-board equipment capable of plugging into the infrastructure. This project generated the largest dataset to date on shore power TSE utilization and use patterns, providing: insight into driver behavior and acceptance; evidence of cost savings; experience with system operations and management; and data for guiding future development of shore power, whether as a private enterprise or a publicly-subsidized service for meeting air quality goals.

  9. Better Buildings Residential Network Membership Form | Department of Energy

    Office of Environmental Management (EM)

    Network Membership Form Better Buildings Residential Network Membership Form Membership form from the U.S. Department of Energy's Better Buildings Residential Network. File BBRN Membership Form More Documents & Publications Better Buildings Residential Network Orientation Fact Sheet: Better Buildings Residential Network Membership Criteria: Better Buildings Residential Network

  10. Sensors, Controls, and Transactional Network | Department of Energy

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

    Sensors, Controls, and Transactional Network Sensors, Controls, and Transactional Network The Transactional Network enables energy, operational, and financial transactions between networked building systems (like rooftop units) and the electric power grid using software applications on the platform or in the Cloud. The Transactional Network enables energy, operational, and financial transactions between networked building systems (like rooftop units) and the electric power grid using software

  11. Quantifying evolvability in small biological networks

    SciTech Connect (OSTI)

    Nemenman, Ilya; Mugler, Andrew; Ziv, Etay; Wiggins, Chris H

    2008-01-01

    The authors introduce a quantitative measure of the capacity of a small biological network to evolve. The measure is applied to a stochastic description of the experimental setup of Guet et al. (Science 2002, 296, pp. 1466), treating chemical inducers as functional inputs to biochemical networks and the expression of a reporter gene as the functional output. The authors take an information-theoretic approach, allowing the system to set parameters that optimise signal processing ability, thus enumerating each network's highest-fidelity functions. All networks studied are highly evolvable by the measure, meaning that change in function has little dependence on change in parameters. Moreover, each network's functions are connected by paths in the parameter space along which information is not significantly lowered, meaning a network may continuously change its functionality without completely losing it along the way. This property further underscores the evolvability of the networks.

  12. Stereotactic Radiosurgery of the Postoperative Resection Cavity for Brain Metastases: Prospective Evaluation of Target Margin on Tumor Control

    SciTech Connect (OSTI)

    Choi, Clara Y.H.; Chang, Steven D.; Gibbs, Iris C.; Adler, John R.; Harsh, Griffith R.; Lieberson, Robert E.; Soltys, Scott G.

    2012-10-01

    Purpose: Given the neurocognitive toxicity associated with whole-brain irradiation (WBRT), approaches to defer or avoid WBRT after surgical resection of brain metastases are desirable. Our initial experience with stereotactic radiosurgery (SRS) targeting the resection cavity showed promising results. We examined the outcomes of postoperative resection cavity SRS to determine the effect of adding a 2-mm margin around the resection cavity on local failure (LF) and toxicity. Patients and Methods: We retrospectively evaluated 120 cavities in 112 patients treated from 1998-2009. Factors associated with LF and distant brain failure (DF) were analyzed using competing risks analysis, with death as a competing risk. The overall survival (OS) rate was calculated by the Kaplan-Meier product-limit method; variables associated with OS were evaluated using the Cox proportional hazards and log rank tests. Results: The 12-month cumulative incidence rates of LF and DF, with death as a competing risk, were 9.5% and 54%, respectively. On univariate analysis, expansion of the cavity with a 2-mm margin was associated with decreased LF; the 12-month cumulative incidence rates of LF with and without margin were 3% and 16%, respectively (P=.042). The 12-month toxicity rates with and without margin were 3% and 8%, respectively (P=.27). On multivariate analysis, melanoma histology (P=.038) and number of brain metastases (P=.0097) were associated with higher DF. The median OS time was 17 months (range, 2-114 months), with a 12-month OS rate of 62%. Overall, WBRT was avoided in 72% of the patients. Conclusion: Adjuvant SRS targeting the resection cavity of brain metastases results in excellent local control and allows WBRT to be avoided in a majority of patients. A 2-mm margin around the resection cavity improved local control without increasing toxicity compared with our prior technique with no margin.

  13. Risk of Leptomeningeal Disease in Patients Treated With Stereotactic Radiosurgery Targeting the Postoperative Resection Cavity for Brain Metastases

    SciTech Connect (OSTI)

    Atalar, Banu; Modlin, Leslie A.; Choi, Clara Y.H.; Adler, John R.; Gibbs, Iris C.; Chang, Steven D.; Harsh, Griffith R.; Li, Gordon; Nagpal, Seema; Hanlon, Alexandra; Soltys, Scott G.

    2013-11-15

    Purpose: We sought to determine the risk of leptomeningeal disease (LMD) in patients treated with stereotactic radiosurgery (SRS) targeting the postsurgical resection cavity of a brain metastasis, deferring whole-brain radiation therapy (WBRT) in all patients. Methods and Materials: We retrospectively reviewed 175 brain metastasis resection cavities in 165 patients treated from 1998 to 2011 with postoperative SRS. The cumulative incidence rates, with death as a competing risk, of LMD, local failure (LF), and distant brain parenchymal failure (DF) were estimated. Variables associated with LMD were evaluated, including LF, DF, posterior fossa location, resection type (en-bloc vs piecemeal or unknown), and histology (lung, colon, breast, melanoma, gynecologic, other). Results: With a median follow-up of 12 months (range, 1-157 months), median overall survival was 17 months. Twenty-one of 165 patients (13%) developed LMD at a median of 5 months (range, 2-33 months) following SRS. The 1-year cumulative incidence rates, with death as a competing risk, were 10% (95% confidence interval [CI], 6%-15%) for developing LF, 54% (95% CI, 46%-61%) for DF, and 11% (95% CI, 7%-17%) for LMD. On univariate analysis, only breast cancer histology (hazard ratio, 2.96) was associated with an increased risk of LMD. The 1-year cumulative incidence of LMD was 24% (95% CI, 9%-41%) for breast cancer compared to 9% (95% CI, 5%-14%) for non-breast histology (P=.004). Conclusions: In patients treated with SRS targeting the postoperative cavity following resection, those with breast cancer histology were at higher risk of LMD. It is unknown whether the inclusion of whole-brain irradiation or novel strategies such as preresection SRS would improve this risk or if the rate of LMD is inherently higher with breast histology.

  14. Local search to improve coordinate-based task mapping

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Balzuweit, Evan; Bunde, David P.; Leung, Vitus J.; Finley, Austin; Lee, Alan C. S.

    2015-10-31

    We present a local search strategy to improve the coordinate-based mapping of a parallel job’s tasks to the MPI ranks of its parallel allocation in order to reduce network congestion and the job’s communication time. The goal is to reduce the number of network hops between communicating pairs of ranks. Our target is applications with a nearest-neighbor stencil communication pattern running on mesh systems with non-contiguous processor allocation, such as Cray XE and XK Systems. Utilizing the miniGhost mini-app, which models the shock physics application CTH, we demonstrate that our strategy reduces application running time while also reducing the runtimemore » variability. Furthermore, we further show that mapping quality can vary based on the selected allocation algorithm, even between allocation algorithms of similar apparent quality.« less

  15. Diagnosing Anomalous Network Performance with Confidence

    SciTech Connect (OSTI)

    Settlemyer, Bradley W; Hodson, Stephen W; Kuehn, Jeffery A; Poole, Stephen W

    2011-04-01

    Variability in network performance is a major obstacle in effectively analyzing the throughput of modern high performance computer systems. High performance interconnec- tion networks offer excellent best-case network latencies; how- ever, highly parallel applications running on parallel machines typically require consistently high levels of performance to adequately leverage the massive amounts of available computing power. Performance analysts have usually quantified network performance using traditional summary statistics that assume the observational data is sampled from a normal distribution. In our examinations of network performance, we have found this method of analysis often provides too little data to under- stand anomalous network performance. Our tool, Confidence, instead uses an empirically derived probability distribution to characterize network performance. In this paper we describe several instances where the Confidence toolkit allowed us to understand and diagnose network performance anomalies that we could not adequately explore with the simple summary statis- tics provided by traditional measurement tools. In particular, we examine a multi-modal performance scenario encountered with an Infiniband interconnection network and we explore the performance repeatability on the custom Cray SeaStar2 interconnection network after a set of software and driver updates.

  16. Network

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

    by more powerful supercomputers, global collaborations that can involve thousands of researchers, and specialized facilities like the Large Hadron Collider and digital sky surveys. ...

  17. Trinity / NERSC-8 Capability Improvement

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

    Trinity / NERSC-8 Capability Improvement Trinity / NERSC-8 Capability Improvement As stated in Section 3.5 of the Technical Requirements, The performance of the ASC and NERSC capability improvement code suites will be evaluated at acceptance and used as acceptance criteria. All performance tests must continue to meet acceptance criteria throughout the lifetime of the system. These spreadsheets are here to provide examples but do not have to be returned with RFP response and will be required of

  18. Future missions require improving LANSCE

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

    Future missions require improving LANSCE capabilities to support five principal research areas. 1) Improving capabilities at the Lujan Center-to use neutrons to probe soft materials-will improve understanding of the performance and aging of weapons materials, and will support development of the broad spectrum of materials needed for stockpile stewardship and threat reduction. 2) Enhancing high-accuracy nuclear cross-section measurements of actinide and short-lived isotopes for higher-fidelity

  19. ORISE: Peer Review Process Improvement

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

    and Education (ORISE) uses process evaluation techniques to identify opportunities for continuous improvement. Input from independent reviewers, sponsors and ORISE staff are...

  20. Improved Saltstone Facilities Restart Operations

    Broader source: Energy.gov [DOE]

    AIKEN, S.C. The Saltstone Facilities at the Savannah River Site (SRS) have restarted operations following a nine-month planned improvement outage.

  1. Automated Measurement and Signaling Systems for the Transactional Network

    SciTech Connect (OSTI)

    Piette, Mary Ann; Brown, Richard; Price, Phillip; Page, Janie; Granderson, Jessica; Riess, David; Czarnecki, Stephen; Ghatikar, Girish; Lanzisera, Steven

    2013-12-31

    The Transactional Network Project is a multi-lab activity funded by the US Department of Energy?s Building Technologies Office. The project team included staff from Lawrence Berkeley National Laboratory, Pacific Northwest National Laboratory and Oak Ridge National Laboratory. The team designed, prototyped and tested a transactional network (TN) platform to support energy, operational and financial transactions between any networked entities (equipment, organizations, buildings, grid, etc.). PNNL was responsible for the development of the TN platform, with agents for this platform developed by each of the three labs. LBNL contributed applications to measure the whole-building electric load response to various changes in building operations, particularly energy efficiency improvements and demand response events. We also provide a demand response signaling agent and an agent for cost savings analysis. LBNL and PNNL demonstrated actual transactions between packaged rooftop units and the electric grid using the platform and selected agents. This document describes the agents and applications developed by the LBNL team, and associated tests of the applications.

  2. Zone routing in a torus network

    DOE Patents [OSTI]

    Chen, Dong; Heidelberger, Philip; Kumar, Sameer

    2013-01-29

    A system for routing data in a network comprising a network logic device at a sending node for determining a path between the sending node and a receiving node, wherein the network logic device sets one or more selection bits and one or more hint bits within the data packet, a control register for storing one or more masks, wherein the network logic device uses the one or more selection bits to select a mask from the control register and the network logic device applies the selected mask to the hint bits to restrict routing of the data packet to one or more routing directions for the data packet within the network and selects one of the restricted routing directions from the one or more routing directions and sends the data packet along a link in the selected routing direction toward the receiving node.

  3. Energy Efficiency and Renewable Energy Network (EREN): Customer satisfaction survey

    SciTech Connect (OSTI)

    Anderson, A.V.; Henderson, D.P.

    1996-04-22

    The Energy Efficiency and Renewable Energy Network (EREN) Customer Satisfaction Survey was developed and executed in support of EREN`s continuous quality improvement (CQI) plan. The study was designed to provide information about the demographic make up of EREN users, the value or benefits they derive from EREN, the kinds and quality of services they want, their levels of satisfaction with existing services, their preferences in both the sources of service and the means of delivery, and to provide benchmark data for the establishment of continuous quality improvement measures. The survey was performed by soliciting voluntary participation from members of the EREN Users Group. It was executed in two phases; the first being conducted by phone using a randomly selected group; and the second being conducted electronically and which was open to all of the remaining members of the Users Group. The survey results are described.

  4. Networks, smart grids: new model for synchronization

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

    Networks, smart grids: new model for synchronization Networks, smart grids: new model for synchronization Researchers developed a surprisingly simple mathematical model that accurately predicts synchronization as a function of the parameters and the topology of the underlying network. May 21, 2013 High voltage transmission lines carry electrical power. High voltage transmission lines carry electrical power. The researchers envision that their method could be applied to assess synchronization and

  5. Energy Materials Network | Department of Energy

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

    Energy Materials Network LightMat LightMat Established as part of the Energy Materials Network, the mission of the Lightweight Materials National Lab Consortium (LightMat) is to create an enduring national lab-based network, enabling industry to utilize the national labs' unique capabilities related to lightweight materials. Photo credit: Oak Ridge National Laboratory Read more ElectroCat ElectroCat The Electrocatalysis Consortium (ElectroCat) is using national lab resources and capabilities

  6. Designing Incentives Toolkit Better Buildings Residential Network

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

    Designing Incentives Toolkit BETTER BUILDINGS RESIDENTIAL NETWORK Learn more at betterbuildings.energy.gov/bbrn T his Better Buildings Residential Network toolkit addresses the challenges and opportunities of using incentives to increase the volume of home energy upgrades. The topic was chosen as a priority by Residential Network members, who also served on a working group that reviewed this toolkit. Residential energy efficiency programs offer incentives as a way to encourage action from

  7. Better Buildings Network View, March 2015

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

    Network View | March 2015 News From the Field March 2015 Motivate Energy Upgrades With New Network Incentives Toolkit The Better Buildings Residential Network has Voluntary Initiatives Get developed a Designing Social-Take Part Incentives Toolkit to help energy efficiency organizations design incentives that motivate potential customers to act by lowering the risk, decreasing the cost, or offering additional benefits with home energy upgrades. Many residential energy efficiency programs have

  8. Better Buildings Residential Network Social Media Toolkit

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

    Social Media Toolkit BETTER BUILDINGS RESIDENTIAL NETWORK Learn more at betterbuildings.energy.gov/bbrn 1 T his Better Buildings Residential Network toolkit can be used to help residential energy efficiency programs learn to engage potential customers through social media. Social media can build brand awareness concerning home energy upgrades and the entities working on them, which can lead to more energy upgrade projects taking place in the long run. Residential Network members provided input

  9. BetterBuildings Network View | December 2014

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

    December 2014 News From the Field December 2014 Residential Network Members Impact More Than 42,000 Households in 2013 Eligible Better Buildings Residential Network members reported completing 27,563 home energy upgrades during 2013 as part of the Residential Network's first reporting cycle. In addition, 13 Better Buildings Neighborhood Program partners completed 12,166 home energy upgrades, and six Home Performance with ENERGY STAR® Sponsors completed 2,540 home energy upgrades, which are

  10. BetterBuildings Network View, June 2014

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

    Better Buildings Network View | June 2014 More Than 60 Georgetown University Energy Prize Communities Join the Residential Network in Bulk The Better Buildings Residential Network announced an agreement with the Georgetown University Energy Prize (GUEP) competition to welcome all participating communities as members, which brings the total number to more than 130. More than 60 new members, representing cities and counties with populations between 5,000 and 250,000, will significantly expand the

  11. Better Buildings Residential Network | Department of Energy

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

    Residential Buildings » Better Buildings Residential Network Better Buildings Residential Network Better Buildings Residential Network EXPLORE PEER EXCHANGE CALL LESSONS LEARNED To make collaboration with a utility easier, show how energy efficiency can solve a financial, public relations, or customer service problem for the utility. Read the "Collaborating With Utilities on Residential Energy Efficiency" Peer Exchange Call summary to learn more, and see other member tips. Residential

  12. Efficient block processing of long duration biotelemetric brain data for health care monitoring

    SciTech Connect (OSTI)

    Soumya, I.; Zia Ur Rahman, M.; Rama Koti Reddy, D. V.; Lay-Ekuakille, A.

    2015-03-15

    In real time clinical environment, the brain signals which doctor need to analyze are usually very long. Such a scenario can be made simple by partitioning the input signal into several blocks and applying signal conditioning. This paper presents various block based adaptive filter structures for obtaining high resolution electroencephalogram (EEG) signals, which estimate the deterministic components of the EEG signal by removing noise. To process these long duration signals, we propose Time domain Block Least Mean Square (TDBLMS) algorithm for brain signal enhancement. In order to improve filtering capability, we introduce normalization in the weight update recursion of TDBLMS, which results TD-B-normalized-least mean square (LMS). To increase accuracy and resolution in the proposed noise cancelers, we implement the time domain cancelers in frequency domain which results frequency domain TDBLMS and FD-B-Normalized-LMS. Finally, we have applied these algorithms on real EEG signals obtained from human using Emotive Epoc EEG recorder and compared their performance with the conventional LMS algorithm. The results show that the performance of the block based algorithms is superior to the LMS counter-parts in terms of signal to noise ratio, convergence rate, excess mean square error, misadjustment, and coherence.

  13. A New Improved Na-K Geothermometer By Artificial Neural Networks...

    Open Energy Info (EERE)

    567-577), Truesdell (1975; Proc. 2nd UN Symposium), Tonani (1980; Proc. Adv. Eur. Geoth. Research, 2nd Symposium), Fournier (1979a; J. Volcanol. Geotherm. Res. 5, 1-16), Nieva and...

  14. Network Requirements Workshop - Documents and Background Materials

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

    of the science programs that ESnet serves. The case study is a network-centric narrative describing the science from two different perspectives - instruments and...

  15. Solar Action Network | Open Energy Information

    Open Energy Info (EERE)

    Jump to: navigation, search Name: Solar Action Network Address: PO Box 15546 Place: San Luis Obispo, California Zip: 93401 Phone Number: 5058476527 Website:...

  16. Social Network and Communications Institutional Change Principle...

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

    tap into and reinforce existing staff motivation, and clear and persistent messaging to ... U.S. Department of Education: Internal communications and networking included meetings, ...

  17. Broadband Energy Networks Inc | Open Energy Information

    Open Energy Info (EERE)

    Darby, Pennsylvania Zip: 19082 Product: Provides automated equipment and usage monitoring systems for energy management. References: Broadband Energy Networks Inc1 This article...

  18. Neural network based system for equipment surveillance

    DOE Patents [OSTI]

    Vilim, Richard B. (Aurora, IL); Gross, Kenneth C. (Bolingbrook, IL); Wegerich, Stephan W. (Glendale Hts., IL)

    1998-01-01

    A method and system for performing surveillance of transient signals of an industrial device to ascertain the operating state. The method and system involves the steps of reading into a memory training data, determining neural network weighting values until achieving target outputs close to the neural network output. If the target outputs are inadequate, wavelet parameters are determined to yield neural network outputs close to the desired set of target outputs and then providing signals characteristic of an industrial process and comparing the neural network output to the industrial process signals to evaluate the operating state of the industrial process.

  19. Neural network based system for equipment surveillance

    DOE Patents [OSTI]

    Vilim, R.B.; Gross, K.C.; Wegerich, S.W.

    1998-04-28

    A method and system are disclosed for performing surveillance of transient signals of an industrial device to ascertain the operating state. The method and system involves the steps of reading into a memory training data, determining neural network weighting values until achieving target outputs close to the neural network output. If the target outputs are inadequate, wavelet parameters are determined to yield neural network outputs close to the desired set of target outputs and then providing signals characteristic of an industrial process and comparing the neural network output to the industrial process signals to evaluate the operating state of the industrial process. 33 figs.

  20. Better Buildings Residential Network | Department of Energy

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

    and see other member tips. Residential Network Members Residential Resources Download the Social Media Toolkit. New Materials Download the November issue of the Better Buildings...

  1. Epidemic Percolation Networks, Epidemic Outcomes, and Interventions

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Kenah, Eben; Miller, Joel C.

    2011-01-01

    Epidemic percolation networks (EPNs) are directed random networks that can be used to analyze stochastic “Susceptible-Infectious-Removed” (SIR) and “Susceptible-Exposed-Infectious-Removed” (SEIR) epidemic models, unifying and generalizing previous uses of networks and branching processes to analyze mass-action and network-based S(E)IR models. This paper explains the fundamental concepts underlying the definition and use of EPNs, using them to build intuition about the final outcomes of epidemics. We then show how EPNs provide a novel and useful perspective on the design of vaccination strategies.

  2. Aries Network Performance Counters Monitoring Library

    Energy Science and Technology Software Center (OSTI)

    2014-09-04

    AriesNCL is a library to monitor and record network router tile performance counters on the Aries router of Cray's Cascade/XC30 platform.

  3. Matching network for RF plasma source

    DOE Patents [OSTI]

    Pickard, Daniel S.; Leung, Ka-Ngo

    2007-11-20

    A compact matching network couples an RF power supply to an RF antenna in a plasma generator. The simple and compact impedance matching network matches the plasma load to the impedance of a coaxial transmission line and the output impedance of an RF amplifier at radio frequencies. The matching network is formed of a resonantly tuned circuit formed of a variable capacitor and an inductor in a series resonance configuration, and a ferrite core transformer coupled to the resonantly tuned circuit. This matching network is compact enough to fit in existing compact focused ion beam systems.

  4. Rainforest Action Network RAN | Open Energy Information

    Open Energy Info (EERE)

    pressure corporations into publicly adopting policies that protect rainforests and the human rights of those living in those areas. References: Rainforest Action Network (RAN)1...

  5. SkyPilot Networks | Open Energy Information

    Open Energy Info (EERE)

    California Product: US-based provider of broadband wireless solutions to utilities, public service agencies and municipalities. References: SkyPilot Networks1 This article...

  6. Benefits of Better Buildings Residential Network Reporting

    Broader source: Energy.gov [DOE]

    Better Buildings Residential Network All-Member Peer Exchange Call: Member Reporting and Benefits, Call Slides and Discussion Summary, May 22, 2014.

  7. Energy Systems Network ESN | Open Energy Information

    Open Energy Info (EERE)

    associations and breakthroughs in cleantech which help promote growth in the local economy. References: Energy Systems Network (ESN)1 This article is a stub. You can help...

  8. How Can the Network Meet Your Needs?

    Broader source: Energy.gov [DOE]

    Better Buildings Residential Program Peer Exchange Call: How Can the Network Meet Your Needs? Call Slides and Meeting Summary, February 27, 2014.

  9. Better Buildings Network View February 2016

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

    Learn more about the Green Bank Network. Boost Your Business Skills at the 2016 ACI National Home Performance Conference Join DOE at the Home Performance Coalition's 2016 ACI ...

  10. Understanding Sampling Network Coverage Maddalena, Damian; Hoffman...

    Office of Scientific and Technical Information (OSTI)

    and quantitative representativeness maps of individual and combined networks. ORNL Climate Change Science Institute (CCSI), Oak Ridge National Laboratory (ORNL), Oak Rdige,...

  11. Analysis of TPV Network Losses (a Presentation)

    SciTech Connect (OSTI)

    DM DePoy; MW Dashiell; DD Rahner; LR Danielson; JE Oppenlander; JL Vell; RJ Wehrer

    2004-12-08

    This talk focuses on the theoretical analysis of electrical losses associated with electrically networking large numbers of TPV cells to produce high power TPV power generators.

  12. Better Buildings Residential Network | Department of Energy

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

    Residential Network Members Residential Resources Download the Social Media Toolkit. New ... Successful Quality Assurance and Quality Control Programs (101) January 28, 2016 Einstein ...

  13. High Performance Networks for High Impact Science

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

    ... Physics Network HTML hyper text markup language IP Internet Protocol LHC CERN's Large Hadron Collider MICS Mathematical, Information, and Computational Sciences MPLS ...

  14. Efficient uncertainty propagation for network multiphysics systems...

    Office of Scientific and Technical Information (OSTI)

    Journal Article: Efficient uncertainty propagation for network multiphysics systems. ... DOE Contract Number: AC04-94AL85000 Resource Type: Journal Article Resource Relation: ...

  15. Better Buildings Residential Network Case Study: Partnerships

    Broader source: Energy.gov [DOE]

    Better Buildings Residential Network Case Study: Partnerships, from the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy.

  16. Network Markup Language Base Schema version 1

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

    SURFsara Roman apacz, PSNC Jason Zurawski, Internet2 May 2013 Network Markup Language Base Schema version 1 Status of This Document Grid Final Draft (GFD), Proposed...

  17. Sensors, Controls, & Transactional Network Reports | Department...

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

    Network Reports Buildings-to-Grid Technical Opportunities: Introduction and Vision (Mar 2014) Buildings-to-Grid Technical Opportunities: From the Buildings Perspective (Mar...

  18. Vihaan Networks Limited VNL | Open Energy Information

    Open Energy Info (EERE)

    to: navigation, search Name: Vihaan Networks Limited (VNL) Place: Gurgaon, Haryana, India Zip: 122015 Sector: Solar Product: Developer of solar-powered GSM system for rural...

  19. Electronic networking and sustainable development

    SciTech Connect (OSTI)

    Daudpota, Q.I.

    1995-12-01

    To increase the capacity of institutions in various countries to implement the ambitious plans of Agenda 21, the United Nations Development Programme (UNDP) set up the Sustainable Development Networking Programme (SDNP) to help the process of sustainable development nationally and globally. Started initially in 15 developing countries, SDNPs are considered as a medium for individuals, organizations and governments to communicate ideas, share information resources, and exchange experiences among each other and globally to learn the appropriate ways to solve our ecological problems. The paper will review the idea of SDNPs globally and will describe in detail its successful implementation in Pakistan. In a country with, hitherto, virtually no electronic mail service, the SDNP has shown how its provision has had a significant impact on obtaining useful information on environmental problems, and in one case has helped save lives. SDNP Pakistan has made an effort to demonstrate the benefits of electronic communications to wide range users in the country. Some of these will be described. It is suggested how electronic networks linking organizations and people in the developing world with experts, organizations and data sources internationally, can greatly assist developmental effort globally.

  20. Evaluation of national seismograph network detection capabilities: Final report. Volume 2

    SciTech Connect (OSTI)

    McLaughlin, K.L.; Barker, T.G.; Bennett, T.J.

    1997-10-01

    This final report presents detection thresholds, detection probabilities, and location error ellipse projections for the US National Seismic Network (USNSN) with and without real-time cooperative stations in the eastern US. Network simulation methods are used with spectral noise levels at stations in the USNSN and other stations to simulate the processes of excitation, propagation, detection, and processing of seismic phases. The USNSN alone should be capable of detecting 4 or more P waves for shallow crustal earthquakes in nearly all of the eastern and central US at the magnitude 3.8 level. When real-time cooperative stations are used in conjunction with the USNSN, the network should be capable of detecting 4 or more P waves from events 0.2 to 0.3 magnitude units lower. The planned expansion of the USNSN and cooperative stations should improve detection levels by an additional 0.2 to 0.3 magnitudes units in many areas. Location uncertainties for the USNSN should be significantly improved by addition of real-time cooperative stations. Median error ellipses for magnitude 4.5 earthquakes in the eastern and central US depend strongly upon location, but uncertainties should be less than 100 square km in the central US and degrade to 200 square km or more offshore and to the south and north of the international boundaries. Close cooperation with the Canadian National Network should substantially improve detection thresholds and location uncertainties along the Canadian border.

  1. Evaluation of National Seismograph Network detection capabilities. Annual report, July 1994--July 1995: Volume 1

    SciTech Connect (OSTI)

    McLaughlin, K.L.; Bennett, T.J.

    1996-03-01

    This first annual report presents detection thresholds and probabilities, and location error ellipse projects for the United States National Seismic Network (USNSN) with and without cooperative stations in the eastern US. Network simulation methods are used with spectral noise levels at stations to simulate the processes of excitation, propagation, detection, and processing of seismic phases. USNSN alone should be capable of detecting 4 or more P waves for shallow crustal earthquakes in nearly all the eastern and central US at magnitude 3.8 level. When cooperative stations are added, the network should be able to detect 4 or more P waves from events 0.2 to 0.3 magnitude units lower. Planned expansion of USNSN and cooperative stations should improve detection levels by an additional 0.2-0.3 magnitudes units in many areas. Location uncertainties for USNSN can be improved by adding real-time cooperative stations. Median error ellipses for magnitude 4.5 earthquakes depend strongly on location, but uncertainties should be less than 100 km{sup 2} in the central US and degrade to 200 km{sup 2} or more offshore and sosuth and north of the international boundaries. Close cooperation with the Canadian National Network should substantially improve detection thresholds and location uncertainties along the Canadian border.

  2. High-resolution single photon planar and spect imaging of brain and neck employing a system of two co-registered opposed gamma imaging heads

    DOE Patents [OSTI]

    Majewski, Stanislaw; Proffitt, James

    2011-12-06

    A compact, mobile, dedicated SPECT brain imager that can be easily moved to the patient to provide in-situ imaging, especially when the patient cannot be moved to the Nuclear Medicine imaging center. As a result of the widespread availability of single photon labeled biomarkers, the SPECT brain imager can be used in many locations, including remote locations away from medical centers. The SPECT imager improves the detection of gamma emission from the patient's head and neck area with a large field of view. Two identical lightweight gamma imaging detector heads are mounted to a rotating gantry and precisely mechanically co-registered to each other at 180 degrees. A unique imaging algorithm combines the co-registered images from the detector heads and provides several SPECT tomographic reconstructions of the imaged object thereby improving the diagnostic quality especially in the case of imaging requiring higher spatial resolution and sensitivity at the same time.

  3. Better Buildings Residential Network Orientation | Department of Energy

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

    Orientation Better Buildings Residential Network Orientation Better Buildings Residential Network (BBRN) Orientation Call Slides and Summary, March 27, 2014. PDF icon Call Slides and Summary More Documents & Publications Better Buildings Residential Network Orientation Webinar Better Buildings Residential Network Orientation Webinar How Can the Network Meet Your Needs?

  4. Better Buildings Network View | September 2015 | Department of Energy

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

    Better Buildings Network View | September 2015 Better Buildings Network View | September 2015 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network. PDF icon Better Buildings Network View September 2015 More Documents & Publications TTWG Licensing Guide ITP Aluminum: Technical Working Group on Inert Anode Technologies EIS-0333: Draft Environmental Impact Statement

  5. Fact Sheet: Better Buildings Residential Network | Department of Energy

    Office of Environmental Management (EM)

    Fact Sheet: Better Buildings Residential Network Fact Sheet: Better Buildings Residential Network Fact Sheet: Better Buildings Residential Network, increasing the number of American Homes that are energy efficient. PDF icon BBRN Fact Sheet More Documents & Publications Fact Sheet - Better Buildings Residential Membership Criteria: Better Buildings Residential Network Better Buildings Residential Network Orientation

  6. Chronic, Multi-Contact, Neural Interface for Deep Brain Stimulation

    Office of Scientific and Technical Information (OSTI)

    (Conference) | SciTech Connect Chronic, Multi-Contact, Neural Interface for Deep Brain Stimulation Citation Details In-Document Search Title: Chronic, Multi-Contact, Neural Interface for Deep Brain Stimulation Authors: Tooker, A C ; Madsen, T E ; Crowell, A ; Shah, K G ; Felix, S H ; Mayberg, H S ; Pannu, S S ; Rainnie, D G ; Tolosa, V M Publication Date: 2013-09-30 OSTI Identifier: 1108838 Report Number(s): LLNL-CONF-644462 DOE Contract Number: W-7405-ENG-48 Resource Type: Conference

  7. Unlocking the Secrets of Brain Signals (4K)

    SciTech Connect (OSTI)

    2015-08-17

    Scientists have for the first time determined, at atomic-scale resolution, the 3-D structure of a protein complex that provides the ultrafast trigger for chemicals messages sent between nerve cells in our brains. The discovery, which provides a new understanding of the molecular machinery driving brain function, builds on decades of research at Stanford University, the Stanford School of Medicine and SLAC National Accelerator Laboratory was made possible by SLAC’s Linac Coherent Light Source, an ultrabright X-ray laser.

  8. Nanofluidic interfaces in microfluidic networks

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Millet, Larry J.; Doktycz, Mitchel John; Retterer, Scott T.

    2015-09-24

    The integration of nano- and microfluidic technologies enables the construction of tunable interfaces to physical and biological systems across relevant length scales. The ability to perform chemical manipulations of miniscule sample volumes is greatly enhanced through these technologies and extends the ability to manipulate and sample the local fluidic environments at subcellular, cellular and community or tissue scales. Here we describe the development of a flexible surface micromachining process for the creation of nanofluidic channel arrays integrated within SU-8 microfluidic networks. The use of a semi-porous, silicon rich, silicon nitride structural layer allows rapid release of the sacrificial silicon dioxidemore » during the nanochannel fabrication. Nanochannel openings that form the interface to biological samples are customized using focused ion beam milling. The compatibility of these interfaces with on-chip microbial culture is demonstrated.« less

  9. Energy efficient sensor network implementations

    SciTech Connect (OSTI)

    Frigo, Janette R; Raby, Eric Y; Brennan, Sean M; Kulathumani, Vinod; Rosten, Ed; Wolinski, Christophe; Wagner, Charles; Charot, Francois

    2009-01-01

    In this paper, we discuss a low power embedded sensor node architecture we are developing for distributed sensor network systems deployed in a natural environment. In particular, we examine the sensor node for energy efficient processing-at-the-sensor. We analyze the following modes of operation; event detection, sleep(wake-up), data acquisition, data processing modes using low power, high performance embedded technology such as specialized embedded DSP processors and a low power FPGAs at the sensing node. We use compute intensive sensor node applications: an acoustic vehicle classifier (frequency domain analysis) and a video license plate identification application (learning algorithm) as a case study. We report performance and total energy usage for our system implementations and discuss the system architecture design trade offs.

  10. Hamilton County- Home Improvement Program

    Broader source: Energy.gov [DOE]

    The Home Improvement Program (HIP) in Hamilton County, Ohio, originally opened in 2002, and was reinstated in May 2008. The HIP loan allows homeowners in Hamilton County communities to borrow money...

  11. Local Option- Special Improvement Districts

    Broader source: Energy.gov [DOE]

    Property-Assessed Clean Energy (PACE) financing effectively allows property owners to borrow money to pay for energy improvements. The amount borrowed is typically repaid via a special assessme...

  12. Local Option- Special Improvement Districts

    Broader source: Energy.gov [DOE]

    Property-Assessed Clean Energy (PACE) financing effectively allows property owners to borrow money to pay for energy improvements. The amount borrowed is typically repaid via a special assessment...

  13. Local Option- Local Improvement Districts

    Broader source: Energy.gov [DOE]

    Property-Assessed Clean Energy (PACE) financing effectively allows property owners to borrow money to pay for energy improvements. The amount borrowed is typically repaid via a special assessme...

  14. Biological and Environmental Research Network Requirements

    SciTech Connect (OSTI)

    Balaji, V.; Boden, Tom; Cowley, Dave; Dart, Eli; Dattoria, Vince; Desai, Narayan; Egan, Rob; Foster, Ian; Goldstone, Robin; Gregurick, Susan; Houghton, John; Izaurralde, Cesar; Johnston, Bill; Joseph, Renu; Kleese-van Dam, Kerstin; Lipton, Mary; Monga, Inder; Pritchard, Matt; Rotman, Lauren; Strand, Gary; Stuart, Cory; Tatusova, Tatiana; Tierney, Brian; Thomas, Brian; Williams, Dean N.; Zurawski, Jason

    2013-09-01

    The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the U.S. Department of Energy (DOE) Office of Science (SC), the single largest supporter of basic research in the physical sciences in the United States. In support of SC programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet be a highly successful enabler of scientific discovery for over 25 years. In November 2012, ESnet and the Office of Biological and Environmental Research (BER) of the DOE SC organized a review to characterize the networking requirements of the programs funded by the BER program office. Several key findings resulted from the review. Among them: 1) The scale of data sets available to science collaborations continues to increase exponentially. This has broad impact, both on the network and on the computational and storage systems connected to the network. 2) Many science collaborations require assistance to cope with the systems and network engineering challenges inherent in managing the rapid growth in data scale. 3) Several science domains operate distributed facilities that rely on high-performance networking for success. Key examples illustrated in this report include the Earth System Grid Federation (ESGF) and the Systems Biology Knowledgebase (KBase). This report expands on these points, and addresses others as well. The report contains a findings section as well as the text of the case studies discussed at the review.

  15. Advanced mobile networking, sensing, and controls.

    SciTech Connect (OSTI)

    Feddema, John Todd; Kilman, Dominique Marie; Byrne, Raymond Harry; Young, Joseph G.; Lewis, Christopher L.; Van Leeuwen, Brian P.; Robinett, Rush D. III; Harrington, John J.

    2005-03-01

    This report describes an integrated approach for designing communication, sensing, and control systems for mobile distributed systems. Graph theoretic methods are used to analyze the input/output reachability and structural controllability and observability of a decentralized system. Embedded in each network node, this analysis will automatically reconfigure an ad hoc communication network for the sensing and control task at hand. The graph analysis can also be used to create the optimal communication flow control based upon the spatial distribution of the network nodes. Edge coloring algorithms tell us that the minimum number of time slots in a planar network is equal to either the maximum number of adjacent nodes (or degree) of the undirected graph plus some small number. Therefore, the more spread out that the nodes are, the fewer number of time slots are needed for communication, and the smaller the latency between nodes. In a coupled system, this results in a more responsive sensor network and control system. Network protocols are developed to propagate this information, and distributed algorithms are developed to automatically adjust the number of time slots available for communication. These protocols and algorithms must be extremely efficient and only updated as network nodes move. In addition, queuing theory is used to analyze the delay characteristics of Carrier Sense Multiple Access (CSMA) networks. This report documents the analysis, simulation, and implementation of these algorithms performed under this Laboratory Directed Research and Development (LDRD) effort.

  16. Analysis of complex networks using aggressive abstraction.

    SciTech Connect (OSTI)

    Colbaugh, Richard; Glass, Kristin.; Willard, Gerald

    2008-10-01

    This paper presents a new methodology for analyzing complex networks in which the network of interest is first abstracted to a much simpler (but equivalent) representation, the required analysis is performed using the abstraction, and analytic conclusions are then mapped back to the original network and interpreted there. We begin by identifying a broad and important class of complex networks which admit abstractions that are simultaneously dramatically simplifying and property preserving - we call these aggressive abstractions -- and which can therefore be analyzed using the proposed approach. We then introduce and develop two forms of aggressive abstraction: 1.) finite state abstraction, in which dynamical networks with uncountable state spaces are modeled using finite state systems, and 2.) onedimensional abstraction, whereby high dimensional network dynamics are captured in a meaningful way using a single scalar variable. In each case, the property preserving nature of the abstraction process is rigorously established and efficient algorithms are presented for computing the abstraction. The considerable potential of the proposed approach to complex networks analysis is illustrated through case studies involving vulnerability analysis of technological networks and predictive analysis for social processes.

  17. Preliminary Results of Whole Brain Radiotherapy With Concurrent Trastuzumab for Treatment of Brain Metastases in Breast Cancer Patients

    SciTech Connect (OSTI)

    Chargari, Cyrus; Idrissi, Hind Riahi; Pierga, Jean-Yves; Bollet, Marc A.; Dieras, Veronique; Campana, Francois; Cottu, Paul; Fourquet, Alain; Kirova, Youlia M.

    2011-11-01

    Purpose: To assess the use of trastuzumab concurrently with whole brain radiotherapy (WBRT) for patients with brain metastases from human epidermal growth factor receptor-2-positive breast cancer. Methods and Materials: Between April 2001 and April 2007, 31 patients with brain metastases from human epidermal growth factor receptor-2-positive breast cancer were referred for WBRT with concurrent trastuzumab. At brain progression, the median age was 55 years (range, 38-73), and all patients had a performance status of 0-2. The patients received trastuzumab 2 mg/kg weekly (n = 17) or 6 mg/kg repeated every 21 days (n = 14). In 26 patients, concurrent WBRT delivered 30 Gy in 10 daily fractions. In 6 patients, other fractionations were chosen because of either poor performance status or patient convenience. Results: After WBRT, radiologic responses were observed in 23 patients (74.2%), including 6 (19.4%) with a complete radiologic response and 17 (54.8%) with a partial radiologic response. Clinical responses were observed in 27 patients (87.1%). The median survival time from the start of WBRT was 18 months (range, 2-65). The median interval to brain progression was 10.5 months (range, 2-27). No Grade 2 or greater acute toxicity was observed. Conclusion: The low toxicity of trastuzumab concurrently with WBRT should probably not justify delays. Although promising, these preliminary data warrant additional validation of trastuzumab as a potential radiosensitizer for WBRT in brain metastases from breast cancer in the setting of a clinical trial.

  18. Improving Data Mobility & Management for International Cosmology...

    Office of Scientific and Technical Information (OSTI)

    Scientists from fields including astrophysics, cosmology, and astronomy collaborated with experts in computing and networking to outline strategic opportunities for enhancing ...

  19. Improving the bulk data transfer experience

    SciTech Connect (OSTI)

    Guok, Chin; Guok, Chin; Lee, Jason R.; Berket, Karlo

    2008-05-07

    Scientific computations and collaborations increasingly rely on the network to provide high-speed data transfer, dissemination of results, access to instruments, support for computational steering, etc. The Energy Sciences Network is establishing a science data network to provide user driven bandwidth allocation. In a shared network environment, some reservations may not be granted due to the lack of available bandwidth on any single path. In many cases, the available bandwidth across multiple paths would be sufficient to grant the reservation. In this paper we investigate how to utilize the available bandwidth across multiple paths in the case of bulk data transfer.

  20. DOE Science Networking Challenge: Roadmap to 2008

    SciTech Connect (OSTI)

    R. Roy Whitney; Larry Price

    2003-06-01

    This report establishes a roadmap for a new approach to the DOE Science Networking and Services needed for science in the U.S. Department of Energy in the 21st century. It has become increasingly clear 2 that the network provided for DOE science in the past will not be adequate to keep that science competitive in the future. This roadmap, if implemented and followed during the next five years, will solve that problem. The past 5 years have seen a broad and general movement toward the assumption of and reliance on networked systems in all of the large new initiatives for DOE science. It is clear that the success of science depends increasingly on the ability of scientists to move large amounts of data, access computing and data resources, and collaborate in real time from multiple remote locations. It is also abundantly clear that business-as-usual in the network and information services that underpin the scientific collaborations will fall woefully short of what is needed. New capabilities such as computational and data grids, high-speed wireless networking, super-high-speed metro-scale networks, and cheap gigabit Ethernet have arrived in turn and have been enthusiastically incorporated into the arsenal of science, each permitting substantial new collaborative abilities and efficiencies. However, sophisticated structures and services using basic network connections can be used effectively only if the network infrastructure itself provides the necessary environment. Increasingly, the network must become a collaborative information exchange, with a core of higher-level services supported by network providers in addition to basic bandwidth and connectivity.

  1. Financial Program Management for Continuous Improvement

    Broader source: Energy.gov [DOE]

    This webinar, held on March 16, 2011, focuses on ways to improve financial programs and discusses strategies for continuous improvements.

  2. Supertruck - Improving Transportation Efficiency through Integrated...

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

    Improving Transportation Efficiency through Integrated Vehicle, Engine and Powertrain Research Supertruck - Improving Transportation Efficiency through Integrated Vehicle, Engine ...

  3. Acquisition and Project Management Continuous Improvement Presentation...

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

    and Project Management Continuous Improvement Presentation Acquisition and Project Management Continuous Improvement Presentation Presentation on Acquisition and Project Management...

  4. Improving Control System Cyber-State Awareness using Known Secure Sensor Measurements

    SciTech Connect (OSTI)

    Ondrej Linda; Milos Manic; Miles McQueen

    2012-09-01

    AbstractThis paper presents design and simulation of a low cost and low false alarm rate method for improved cyber-state awareness of critical control systems - the Known Secure Sensor Measurements (KSSM) method. The KSSM concept relies on physical measurements to detect malicious falsification of the control systems state. The KSSM method can be incrementally integrated with already installed control systems for enhanced resilience. This paper reviews the previously developed theoretical KSSM concept and then describes a simulation of the KSSM system. A simulated control system network is integrated with the KSSM components. The effectiveness of detection of various intrusion scenarios is demonstrated on several control system network topologies.

  5. What Art Can Tell Us About The Brain | Princeton Plasma Physics...

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

    MBG Auditorium What Art Can Tell Us About The Brain Dr. Margaret Livingstone, Professor of ... Science On Saturday, March 15, 2014, "What Art Can Tell Us About The Brain" Contact ...

  6. Brain surgery breathes new life into aging plants

    SciTech Connect (OSTI)

    Makansi, J.

    2006-04-15

    Unlike managing the human aging process, extending the life of a power plant often includes brain surgery, modernizing its control and automation system. Lately, such retrofits range from wholesale replacing of existing controls to the addition of specific control elements that help optimize performance. Pending revisions to safety codes and cybersecurity issues also need to be considered. 4 figs.

  7. Emerson Network Power Co Ltd | Open Energy Information

    Open Energy Info (EERE)

    Power Co Ltd Jump to: navigation, search Name: Emerson Network Power Co Ltd Place: Canada Product: Power network developer. Involved in fuel cell power research consortia....

  8. ASEM Green Independent Power Producers Network | Open Energy...

    Open Energy Info (EERE)

    ASEM Green Independent Power Producers Network Jump to: navigation, search Name: ASEM Green Independent Power Producers Network Place: Germany Sector: Renewable Energy Product: A...

  9. Residential Network Members Support New Data-Driven Initiative...

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

    Initiative Residential Network Members Support New Data-Driven Initiative SEED logo. Better Buildings Residential Network members the Institute for Market Transformation...

  10. Solar Energy Sources SES Solar Inc formerly Electric Network...

    Open Energy Info (EERE)

    SES Solar Inc formerly Electric Network com Jump to: navigation, search Name: Solar Energy Sources - SES Solar Inc (formerly Electric Network.com) Place: Vancouver, British...

  11. CARISMA: A Networking Project for High Temperature PEMFC MEA...

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

    CARISMA: A Networking Project for High Temperature PEMFC MEA Activities in Europe CARISMA: A Networking Project for High Temperature PEMFC MEA Activities in Europe This...

  12. V-036: EMC Smarts Network Configuration Manager Database Authenticatio...

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

    V-036: EMC Smarts Network Configuration Manager Database Authentication Bypass ... Tomcat and JBOSS. Addthis Related Articles V-120: EMC Smarts Network Configuration ...

  13. Representativeness-based Sampling Network Design for the State...

    Office of Scientific and Technical Information (OSTI)

    Representativeness-based Sampling Network Design for the State of Alaska Citation Details In-Document Search Title: Representativeness-based Sampling Network Design for the State...

  14. Representativeness based Sampling Network Design for the State...

    Office of Scientific and Technical Information (OSTI)

    Representativeness based Sampling Network Design for the State of Alaska Title: Representativeness-based Sampling Network Design for the State of Alaska Authors: Forrest M. Hoffman...

  15. Representativeness-Based Sampling Network Design for the State...

    Office of Scientific and Technical Information (OSTI)

    Journal Article: Representativeness-Based Sampling Network Design for the State of Alaska Citation Details In-Document Search Title: Representativeness-Based Sampling Network...

  16. V-120: EMC Smarts Network Configuration Manager Java RMI Access...

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

    0: EMC Smarts Network Configuration Manager Java RMI Access Control Flaw Lets Remote Users Gain Full Control V-120: EMC Smarts Network Configuration Manager Java RMI Access Control...

  17. Network for ab initio Many-body Methods: Development, Education...

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

    Miguel Morales is Prinicipal Investigator on Network for ab initio Many-body Methods: Development, Education and Training. Network for ab initio Many-body Methods: Development,...

  18. Blue Gene/Q Network Performance Counters Monitoring Library

    Energy Science and Technology Software Center (OSTI)

    2015-03-12

    BGQNCL is a library to monitor and record network performance counters on the 5D torus interconnection network of IBM's Blue Gene/Q platform.

  19. V-125: Cisco Connected Grid Network Management System Multiple...

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

    5: Cisco Connected Grid Network Management System Multiple Vulnerabilities V-125: Cisco Connected Grid Network Management System Multiple Vulnerabilities April 3, 2013 - 1:44am...

  20. E-print Network home page -- Energy, science, and technology...

    Office of Scientific and Technical Information (OSTI)

    Energy, science, and technology for the research community Enter Search Terms Search Advanced Search The E-print Network is . . . . . . a vast, integrated network of electronic ...

  1. Renewable Energy Network of Entrepreneurs in Western New York...

    Open Energy Info (EERE)

    York Jump to: navigation, search Logo: Renewable Energy Network of Entrepreneurs in Western New York Name: Renewable Energy Network of Entrepreneurs in Western New York Address:...

  2. World Renewable Energy Network WREN | Open Energy Information

    Open Energy Info (EERE)

    Renewable Energy Network WREN Jump to: navigation, search Name: World Renewable Energy Network (WREN) Place: Brighton, United Kingdom Zip: BN2 1YH Sector: Renewable Energy Product:...

  3. Clean Economy Network-Rockies | Open Energy Information

    Open Energy Info (EERE)

    Economy Network-Rockies Jump to: navigation, search Name: Clean Economy Network-Rockies Place: Denver, CO Region: Rockies Area Website: rockies.cleaneconomynetwork.or Coordinates:...

  4. Better Buildings Network View | September 2014 | Department of...

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

    September 2014 Better Buildings Network View | September 2014 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential...

  5. Advanced Network Toolkit for Assessments and Remote Mapping ...

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

    Uses existing information to passively map control systems networks and identify cyber security perimeters Advanced Network Toolkit for Assessments and Remote Mapping (ANTFARM)...

  6. Active Network Management (Smart Grid Project) | Open Energy...

    Open Energy Info (EERE)

    Network Management (Smart Grid Project) Jump to: navigation, search Project Name Active Network Management Country United Kingdom Coordinates 55.378052, -3.435973 Loading...

  7. Better Buildings Residential Network Peer Exchange Call: Nothing But Networking for Residential Network Members Call Slides and Discussion Summary, March 12, 2015

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

    Nothing But Networking for Residential Network Members Call Slides and Discussion Summary March 12, 2015  Welcome and Agenda Review  Better Buildings Residential Network Overview  Plugging into the Better Buildings Residential Network:  Round 1: Getting to know you: Introduce yourself and your organization  Round 2: What 1-2 things would you most like to know about what other Better Buildings Residential Network members are doing?  Round 3: What 1-2 accomplishments is your

  8. Geneva Steel blast furnace improvements

    SciTech Connect (OSTI)

    Fowles, R.D.; Hills, L.S.

    1993-01-01

    Geneva Steel is located in Utah and is situated near the western edge of the Rocky Mountains adjacent to the Wasatch Front. Geneva's No. 1, 2 and 3 are the only remaining operating blast furnaces in the United States west of the Mississippi River. They were originally constructed in 1943 to support steelmaking during World War II. During the early 60's all three furnaces were enlarged to their current working volume. Very few major improvements were made until recently. This discussion includes a brief historical perspective of operating difficulties associated with practice, design and equipment deficiencies. Also included is an overview of blast furnace improvements at Geneva found necessary to meet the demands of modern steelmaking. Particular emphasis will be placed on casthouse improvements.

  9. Improving OpenMP Scaling

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

    Improving OpenMP Scaling Improving OpenMP Scaling Introduction Cori's Knights Landing (KNL) processors will each have more than 60 cores, with each core having the ability to support 4 hardware threads, leading to the possibility of up to 240 threads per single-socket node. Your application is likely to run on KNL without significant modification, but achieving good performance while using all the cores and threads may be more difficult. Applications may not fit into the memory of a Cori node if

  10. Web100-based Network Diagnostic Tool

    Energy Science and Technology Software Center (OSTI)

    2003-03-20

    NDT is a client/server based network diagnostic tool developed to aid in finding network performance and configuration problems. The tool measures data transfer rates between two internet hosts (client and server). It also gathers detailed TCP statistical variable counters supplied by the Web100 modified server and uses these TCP variables to compute the theoretical performance rate between the two internet hosts. It then compares these analytical results with the measured results to determine if performancemore »or configuration problems exist and translates these results into plain text messages to aid users and network operators in resolving reported problems.« less

  11. Characterization of the Weatherization Assistance Program network

    SciTech Connect (OSTI)

    Mihlmester, P.E.; Koehler, W.C. Jr.; Beyer, M.A. . Applied Management Sciences Div.); Brown, M.A. ); Beschen, D.A. Jr. . Office of Weatherization Assistance Programs)

    1992-02-01

    The Characterization of the Weatherization Assistance Program (WAP) Network was designed to describe the national network of State and local agencies that provide WAP services to qualifying low-income households. The objective of this study was to profile the current WAP network. To achieve the objective, two national surveys were conducted: one survey collected data from 49 State WAP agencies (including the coterminous 48 States and the District of Columbia), and the second survey collected data from 920 (or 81 percent) of the local WAP agencies.

  12. Visual Matrix Clustering of Social Networks

    SciTech Connect (OSTI)

    Wong, Pak C.; Mackey, Patrick S.; Foote, Harlan P.; May, Richard A.

    2013-07-01

    The prevailing choices to graphically represent a social network in todays literature are a node-link graph layout and an adjacency matrix. Both visualization techniques have unique strengths and weaknesses when applied to different domain applications. In this article, we focus our discussion on adjacency matrix and how to turn the matrix-based visualization technique from merely showing pairwise associations among network actors (or graph nodes) to depicting clusters of a social network. We also use node-link layouts to supplement the discussion.

  13. Data and Networking | Argonne Leadership Computing Facility

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

    Networking Data and Networking Data Storage The ALCF's data storage system is used to retain the data generated by simulations and visualizations. Disk storage provides intermediate-term storage for active projects, offering a means to access, analyze, and share simulation results. Tape storage is used to archive data from completed projects. Disk Storage: The Blue Gene/Q data systems consist of 384 I/O nodes that connect to 16 storage area networks (SANs) that control 8,960 disk drives with a

  14. Computationally Efficient Neural Network Intrusion Security Awareness

    SciTech Connect (OSTI)

    Todd Vollmer; Milos Manic

    2009-08-01

    An enhanced version of an algorithm to provide anomaly based intrusion detection alerts for cyber security state awareness is detailed. A unique aspect is the training of an error back-propagation neural network with intrusion detection rule features to provide a recognition basis. Network packet details are subsequently provided to the trained network to produce a classification. This leverages rule knowledge sets to produce classifications for anomaly based systems. Several test cases executed on ICMP protocol revealed a 60% identification rate of true positives. This rate matched the previous work, but 70% less memory was used and the run time was reduced to less than 1 second from 37 seconds.

  15. Silicon-embedded copper nanostructure network for high energy storage

    DOE Patents [OSTI]

    Yu, Tianyue

    2016-03-15

    Provided herein are nanostructure networks having high energy storage, electrochemically active electrode materials including nanostructure networks having high energy storage, as well as electrodes and batteries including the nanostructure networks having high energy storage. According to various implementations, the nanostructure networks have high energy density as well as long cycle life. In some implementations, the nanostructure networks include a conductive network embedded with electrochemically active material. In some implementations, silicon is used as the electrochemically active material. The conductive network may be a metal network such as a copper nanostructure network. Methods of manufacturing the nanostructure networks and electrodes are provided. In some implementations, metal nanostructures can be synthesized in a solution that contains silicon powder to make a composite network structure that contains both. The metal nanostructure growth can nucleate in solution and on silicon nanostructure surfaces.

  16. DOE Hanford Network Upgrades and Disaster Recovery Exercise Support the Cleanup Mission Now and into the Future

    SciTech Connect (OSTI)

    Eckman, Todd J.; Hertzel, Ali K.; Lane, James J.

    2013-11-07

    In 2013, the U.S. Department of Energy's (DOE) Hanford Site, located in Washington State, funded an update to the critical network infrastructure supporting the Hanford Federal Cloud (HFC). The project, called ET-50, was the final step in a plan that was initiated five years ago called "Hanford's IT Vision, 2015 and Beyond." The ET-50 project upgraded Hanford's core data center switches and routers along with a majority of the distribution layer switches. The upgrades allowed HFC the network intelligence to provide Hanford with a more reliable and resilient network architecture. The culmination of the five year plan improved network intelligence and high performance computing as well as helped to provide 10 Gbps capable links between core backbone devices (10 times the previous bandwidth). These improvements allow Hanford the ability to further support bandwidth intense applications, such as video teleconferencing. The ET-50 switch upgrade, along with other upgrades implemented from the five year plan, have prepared Hanford's network for the next evolution of technology in voice, video, and data. Hand-in-hand with ET-50's major data center outage, Mission Support Alliance's (MSA) Information Management (IM) organization executed a disaster recovery (DR) exercise to perform a true integration test and capability study. The DR scope was planned within the constraints of ET-50's 14 hour datacenter outage window. This DR exercise tested Hanford's Continuity of Operations (COOP) capability and failover plans for safety and business critical Hanford Federal Cloud applications. The planned suite of services to be tested was identified prior to the outage and plans were prepared to test the services ability to failover from the primary Hanford data center to the backup data center. The services tested were: Core Network (backbone, firewall, load balancers); Voicemail; Voice over IP (VoIP); Emergency Notification; Virtual desktops; and, Select set of production applications and data. The primary objective of the exercise was to test COOP around the emergency operations at Hanford to provide information on capabilities and dependencies of the current system to insure improved focus of emergency, safety and security capacity in a disaster situation. The integration of the DR test into the ET-50 project allowed the testing of COOP at Hanford and allowed the lessons learned to be defined. These lessons learned have helped improve the understanding of Hanford's COOP capabilities and will be critical for future planning. With the completion of the Hanford Federal Cloud network upgrades and the disaster recovery exercise, the MSA has a clearer path forward for future technology implementations as well as network improvements to help shape the usability and reliability of the Hanford network in support of the cleanup mission.

  17. Dysfunction of mitochondrial dynamics in the brains of scrapie-infected mice

    SciTech Connect (OSTI)

    Choi, Hong-Seok; Choi, Yeong-Gon; Shin, Hae-Young; Oh, Jae-Min; Park, Jeong-Ho; Kim, Jae-Il; Carp, Richard I.; Choi, Eun-Kyoung; Kim, Yong-Sun

    2014-05-30

    Highlights: • Mfn1 and Fis1 are significantly increased in the hippocampal region of the ME7 prion-infected brain, whereas Dlp1 is significantly decreased in the infected brain. • Dlp1 is significantly decreased in the cytosolic fraction of the hippocampus in the infected brain. • Neuronal mitochondria in the prion-infected brains are enlarged and swollen compared to those of control brains. • There are significantly fewer mitochondria in the ME7-infected brain compared to the number in control brain. - Abstract: Mitochondrial dysfunction is a common and prominent feature of many neurodegenerative diseases, including prion diseases; it is induced by oxidative stress in scrapie-infected animal models. In previous studies, we found swelling and dysfunction of mitochondria in the brains of scrapie-infected mice compared to brains of controls, but the mechanisms underlying mitochondrial dysfunction remain unclear. To examine whether the dysregulation of mitochondrial proteins is related to the mitochondrial dysfunction associated with prion disease, we investigated the expression patterns of mitochondrial fusion and fission proteins in the brains of ME7 prion-infected mice. Immunoblot analysis revealed that Mfn1 was up-regulated in both whole brain and specific brain regions, including the cerebral cortex and hippocampus, of ME7-infected mice compared to controls. Additionally, expression levels of Fis1 and Mfn2 were elevated in the hippocampus and the striatum, respectively, of the ME7-infected brain. In contrast, Dlp1 expression was significantly reduced in the hippocampus in the ME7-infected brain, particularly in the cytosolic fraction. Finally, we observed abnormal mitochondrial enlargement and histopathological change in the hippocampus of the ME7-infected brain. These observations suggest that the mitochondrial dysfunction, which is presumably caused by the dysregulation of mitochondrial fusion and fission proteins, may contribute to the neuropathological changes associated with prion disease.

  18. The resilient hybrid fiber sensor network with self-healing function

    SciTech Connect (OSTI)

    Xu, Shibo Liu, Tiegen; Ge, Chunfeng; Chen, Qinnan; Zhang, Hongxia

    2015-03-15

    This paper presents a novel resilient fiber sensor network (FSN) with multi-ring architecture, which could interconnect various kinds of fiber sensors responsible for more than one measurands. We explain how the intelligent control system provides sensors with self-healing function meanwhile sensors are working properly, besides each fiber in FSN is under real-time monitoring. We explain the software process and emergency mechanism to respond failures or other circumstances. To improve the efficiency in the use of limited spectrum resources in some situations, we have two different structures to distribute the light sources rationally. Then, we propose a hybrid sensor working in FSN which is a combination of a distributed sensor and a FBG (Fiber Bragg Grating) array fused in a common fiber sensing temperature and vibrations simultaneously with neglectable crosstalk to each other. By making a failure to a working fiber in experiment, the feasibility and effectiveness of the network with a hybrid sensor has been demonstrated, hybrid sensors could not only work as designed but also survive from destructive failures with the help of resilient network and smart and quick self-healing actions. The network has improved the viability of the fiber sensors and diversity of measurands.

  19. Managing Critical Management Improvement Initiatives

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

    2003-10-01

    Provides requirements and responsibilities for planning, executing and assessing critical management improvement initiatives within DOE. DOE N 251.59, dated 9/27/2004, extends this Notice until 10/01/2005. Archived 11-8-10. Does not cancel other directives.

  20. Improved photovoltaic cells and electrodes

    DOE Patents [OSTI]

    Skotheim, T.A.

    1983-06-29

    Improved photovoltaic cells and electrodes for use therein, particularly electrodes employing amorphous silicon or polyacetylene coating are produced by a process which includes filling pinholes or porous openings in the coatings by electrochemical oxidation of selected monomers to deposit insulating polymer in the openings.

  1. Zymomonas with improved xylose utilization

    DOE Patents [OSTI]

    Viitanen, Paul V.; Tao, Luan; Zhang, Yuying; Caimi, Perry G.; McCutchen, Carol M.; McCole, Laura; Zhang, Min; Chou, Yat-Chen; Franden, Mary Ann

    2011-08-16

    Strains of Zymomonas were engineered by introducing a chimeric xylose isomerase gene that contains a mutant promoter of the Z. mobilis glyceraldehyde-3-phosphate dehydrogenase gene. The promoter directs increased expression of xylose isomerase, and when the strain is in addition engineered for expression of xylulokinase, transaldolase and transketolase, improved utilization of xylose is obtained.

  2. Characterization of EGS Fracture Network Lifecycles

    SciTech Connect (OSTI)

    Gillian R. Foulger

    2008-03-31

    Geothermal energy is relatively clean, and is an important non-hydrocarbon source of energy. It can potentially reduce our dependence on fossil fuels and contribute to reduction in carbon emissions. High-temperature geothermal areas can be used for electricity generation if they contain permeable reservoirs of hot water or steam that can be extracted. The biggest challenge to achieving the full potential of the nations resources of this kind is maintaining and creating the fracture networks required for the circulation, heating, and extraction of hot fluids. The fundamental objective of the present research was to understand how fracture networks are created in hydraulic borehole injection experiments, and how they subsequently evolve. When high-pressure fluids are injected into boreholes in geothermal areas, they flow into hot rock at depth inducing thermal cracking and activating critically stressed pre-existing faults. This causes earthquake activity which, if monitored, can provide information on the locations of the cracks formed, their time-development and the type of cracking underway, e.g., whether shear movement on faults occurred or whether cracks opened up. Ultimately it may be possible to monitor the critical earthquake parameters in near-real-time so the information can be used to guide the hydraulic injection while it is in progress, e.g., how to adjust factors such as injectate pressure, volume and temperature. In order to achieve this, it is necessary to mature analysis techniques and software that were, at the start of this project, in an embryonic developmental state. Task 1 of the present project was to develop state-of-the-art techniques and software for calculating highly accurate earthquake locations, earthquake source mechanisms (moment tensors) and temporal changes in reservoir structure. Task 2 was to apply the new techniques to hydrofracturing (Enhanced Geothermal Systems, or EGS) experiments performed at the Coso geothermal field, in order to enhance productivity there. Task 3 was to interpret the results jointly with other geological information in order to provide a consistent physical model. All of the original goals of the project have been achieved. An existing program for calculating accurate relative earthquake locations has been enhanced by a technique to improve the accuracy of earthquake arrival-time measurements using waveform cross-correlation. Error analysis has been added to pre-existing moment tensor software. New seismic tomography software has been written to calculate changes in structure that could be due, for example, to reservoir depletion. Data processing procedures have been streamlined and web tools developed for rapid dissemination of the results, e.g., to on-site operations staff. Application of the new analysis tools to the Coso geothermal field has demonstrated the effective use of the techniques and provided important case histories to guide the style of future applications. Changes in reservoir structure with time are imaged throughout the upper 3 km, identifying the areas where large volumes of fluid are being extracted. EGS hydrofracturing experiments in two wells stimulated a nearby fault to the south that ruptured from south to north. The position of this fault could be precisely mapped and its existence was confirmed by surface mapping and data from a borehole televiewer log. No earthquakes occurred far north of the injection wells, suggesting that the wells lie near the northern boundary of the region of critically stressed faults. Minor en-echelon faults were also activated. Significant across-strike fluid flow occurred. The faults activated had significant crack-opening components, indicating that the hydraulic fracturing created open cavities at depth. The fluid injection changed the local stress field orientation and thus the mode of failure was different from the normal background. Initial indications are that the injections modulated stress release, seismicity and natural fracture system evolution for periods of up to months. The research demon

  3. Data-driven integration of genome-scale regulatory and metabolic network

    SciTech Connect (OSTI)

    Imam, S; Schauble, S; Brooks, AN; Baliga, NS; Price, ND

    2015-05-05

    Microbes are diverse and extremely versatile organisms that play vital roles in all ecological niches. Understanding and harnessing microbial systems will be key to the sustainability of our planet. One approach to improving our knowledge of microbial processes is through data-driven and mechanism-informed computational modeling. Individual models of biological networks (such as metabolism, transcription, and signaling) have played pivotal roles in driving microbial research through the years. These networks, however, are highly interconnected and function in concert a fact that has led to the development of a variety of approaches aimed at simulating the integrated functions of two or more network types. Though the task of integrating these different models is fraught with new challenges, the large amounts of high-throughput data sets being generated, and algorithms being developed, means that the time is at hand for concerted efforts to build integrated regulatory-metabolic networks in a data-driven fashion. In this perspective, we review current approaches for constructing integrated regulatory-metabolic models and outline new strategies for future development of these network models for any microbial system.

  4. Solar Instructor Training Network Frequently Asked Questions

    Broader source: Energy.gov [DOE]

    These frequently asked questions (FAQs) relate to the solar instructor training network. This project was launched by the U.S. Department of Energy (DOE) Solar Energy Technologies Program (SETP or...

  5. EPA National Environmental Information Exchange Network Grant...

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

    5 5:00PM EST U.S. Environmental Protection Agency The U.S. Environmental Protection Agency is accepting applications for the National Environmental Information Exchange Network...

  6. December 2015 National Idling Reduction Network News

    Broader source: Energy.gov [DOE]

    This is the December 2015 edition of the National Idling Reduction Network News, an e-newsletter that reports solicitations for funding, regulatory changes, awards and recognition, reports and other resources of interest, upcoming meetings and events, and manufacturers’ announcements.

  7. Imbibition well stimulation via neural network design

    DOE Patents [OSTI]

    Weiss, William

    2007-08-14

    A method for stimulation of hydrocarbon production via imbibition by utilization of surfactants. The method includes use of fuzzy logic and neural network architecture constructs to determine surfactant use.

  8. Better Buildings Residential Network Membership Form | Department...

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

    Residential Network Recommended Instructions for Downloading and Saving Membership Form Adobe Reader 6.0 or higher is required to view and print PDF forms. To obtain the latest...

  9. Using Graphite to view network data

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

    Graphite to Visualize Network Data Jon Dugan Summer ESCC 2010, Columbus, OH Lawrence Berkeley National Laboratory U.S. Department of Energy | Office of Science...

  10. E-print Network : User Account

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

    New Search | My Selections (0) | | | | Alerts | E-print Network Create User Account User Name: Email Address: I want to: Always receive emails Receive emails if there are new...

  11. Joint Implementation Network (JIN) | Open Energy Information

    Open Energy Info (EERE)

    2.2 JIN Programs 3 References About Joint Implementation Network (JIN) was established in 1995 as knowledge centre for climate change policy issues in general and the concept of...

  12. Synchronization in networks of spatially extended systems

    SciTech Connect (OSTI)

    Filatova, Anastasiya E.; Hramov, Alexander E.; Koronovskii, Alexey A.; Boccaletti, Stefano

    2008-06-15

    Synchronization processes in networks of spatially extended dynamical systems are analytically and numerically studied. We focus on the relevant case of networks whose elements (or nodes) are spatially extended dynamical systems, with the nodes being connected with each other by scalar signals. The stability of the synchronous spatio-temporal state for a generic network is analytically assessed by means of an extension of the master stability function approach. We find an excellent agreement between the theoretical predictions and the data obtained by means of numerical calculations. The efficiency and reliability of this method is illustrated numerically with networks of beam-plasma chaotic systems (Pierce diodes). We discuss also how the revealed regularities are expected to take place in other relevant physical and biological circumstances.

  13. Effective Protocols for Mobile Communications and Networking

    SciTech Connect (OSTI)

    Espinoza, J.; Sholander, P.; Van Leeuwen, B,

    1998-12-01

    This report examines methods of mobile communications with an emphasis on mobile computing and wireless communications. Many of the advances in communications involve the use of Internet Protocol (IP), Asynchronous Transfer Mode (ATM), and ad hoc network protocols. However, many of the advances in these protocols have been focused on wired communications. Recently much focus has been directed at advancing communication technology in the area of mobile wireless networks. This report discusses various protocols used in mobile communications and proposes a number of extensions to existing protocols. A detailed discussion is also included on desirable protocol characteristics and evaluation criteria. In addition, the report includes a discussion on several network simulation tools that maybe used to evaluate network protocols.

  14. Dynamics on modular networks with heterogeneous correlations

    SciTech Connect (OSTI)

    Melnik, Sergey; Oxford Centre for Industrial and Applied Mathematics, Mathematical Institute, University of Oxford, Oxford OX2 6GG; CABDyN Complexity Centre, University of Oxford, Oxford OX1 1HP ; Porter, Mason A.; CABDyN Complexity Centre, University of Oxford, Oxford OX1 1HP ; Mucha, Peter J.; Institute for Advanced Materials, Nanoscience and Technology, University of North Carolina, Chapel Hill, North Carolina 27599-3216 ; Gleeson, James P.

    2014-06-15

    We develop a new ensemble of modular random graphs in which degree-degree correlations can be different in each module, and the inter-module connections are defined by the joint degree-degree distribution of nodes for each pair of modules. We present an analytical approach that allows one to analyze several types of binary dynamics operating on such networks, and we illustrate our approach using bond percolation, site percolation, and the Watts threshold model. The new network ensemble generalizes existing models (e.g., the well-known configuration model and Lancichinetti-Fortunato-Radicchi networks) by allowing a heterogeneous distribution of degree-degree correlations across modules, which is important for the consideration of nonidentical interacting networks.

  15. Network Optimization Models (RNAS and ATOM) | NISAC

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

    been used to study policy options concerning the movement of toxic chemicals by rail. Air Transport Optimization Model (ATOM) The TOM is a network-optimization model designed to...

  16. Global Energy Network Institute | Open Energy Information

    Open Energy Info (EERE)

    inlineLabel":"","visitedicon":"" Hide Map References: Global Energy Network Institute Web Site1 This article is a stub. You can help OpenEI by expanding it. Global Energy...

  17. August 2015 National Idling Reduction Network News

    Broader source: Energy.gov [DOE]

    This is the August 2015 edition of the National Idling Reduction Network News, an e-newsletter that reports solicitations for funding, regulatory changes, awards and recognition, reports and other resources of interest, upcoming meetings and events, and manufacturers’ announcements.

  18. April 2015 National Idling Reduction Network News

    Broader source: Energy.gov [DOE]

    This is the April 2015 edition of the National Idling Reduction Network News, an e-newsletter that reports solicitations for funding, regulatory changes, awards and recognition, reports and other resources of interest, upcoming meetings and events, and manufacturers’ announcements.

  19. Natural Gas Pipeline Network: Changing and Growing

    Reports and Publications (EIA)

    1996-01-01

    This chapter focuses upon the capabilities of the national natural gas pipeline network, examining how it has expanded during this decade and how it may expand further over the coming years. It also looks at some of the costs of this expansion, including the environmental costs which may be extensive. Changes in the network as a result of recent regional market shifts are also discussed.

  20. Network traffic analysis using dispersion patterns

    Energy Science and Technology Software Center (OSTI)

    2010-03-15

    The Verilog code us used to map a measurement solution on FPGA to analyze network traffic. It realizes a set of Bloom filters and counters, besides associated control logic that can quickly measure statistics like InDegree, OutDegree, Depth, in the context of Traffic Dispersion Graphs. Such patterns are helpful in classification of network activity, like Peer to Peer and Port-Scanning, in the traffic.

  1. A connecting network with fault tolerance capabilities

    SciTech Connect (OSTI)

    Ciminiera, L.; Serra, A.

    1986-06-01

    A new multistage interconnection network is presented in this paper. It is able to handle the communications between the connected devices correctly, even in the presence of fault(s) in the network. This goal is achieved by using redundant paths with a fast procedure able to dynamically reroute the message. It is also shown that the rerouting properties are still valid when broadcasting transmission is used.

  2. Downhole drilling network using burst modulation techniques

    DOE Patents [OSTI]

    Hall; David R. (Provo, UT), Fox; Joe (Spanish Fork, UT)

    2007-04-03

    A downhole drilling system is disclosed in one aspect of the present invention as including a drill string and a transmission line integrated into the drill string. Multiple network nodes are installed at selected intervals along the drill string and are adapted to communicate with one another through the transmission line. In order to efficiently allocate the available bandwidth, the network nodes are configured to use any of numerous burst modulation techniques to transmit data.

  3. Network Requirements Workshop - Documents and Background Materials

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

    Requirements Review Reports Case Studies News & Publications ESnet News Publications and Presentations Galleries ESnet Awards and Honors Blog ESnet Live Home » Science Engagement » Science Requirements Reviews » Network Requirements Reviews » Documents and Background Materials Science Engagement Move your data Programs & Workshops Science Requirements Reviews Network Requirements Reviews Documents and Background Materials FAQ for Case Study Authors BER Requirements Review 2015 ASCR

  4. Efficient uncertainty propagation for network multiphysics systems.

    Office of Scientific and Technical Information (OSTI)

    (Journal Article) | SciTech Connect Journal Article: Efficient uncertainty propagation for network multiphysics systems. Citation Details In-Document Search Title: Efficient uncertainty propagation for network multiphysics systems. Authors: Phipps, Eric T. ; Wildey, Timothy Michael ; Constantine, Paul G. Publication Date: 2013-01-01 OSTI Identifier: 1063360 Report Number(s): SAND2013-0423J DOE Contract Number: AC04-94AL85000 Resource Type: Journal Article Resource Relation: Journal Name:

  5. Redundancy and Error Resilience in Boolean Networks

    SciTech Connect (OSTI)

    Peixoto, Tiago P.

    2010-01-29

    We consider the effect of noise in sparse Boolean networks with redundant functions. We show that they always exhibit a nonzero error level, and the dynamics undergoes a phase transition from nonergodicity to ergodicity, as a function of noise, after which the system is no longer capable of preserving a memory of its initial state. We obtain upper bounds on the critical value of noise for networks of different sparsity.

  6. On the exact evaluation of spin networks

    SciTech Connect (OSTI)

    Freidel, Laurent; Hnybida, Jeff; Department of Physics, University of Waterloo, Waterloo, Ontario N2L 3G1

    2013-11-15

    We introduce a fully coherent spin network amplitude whose expansion generates all SU(2) spin networks associated with a given graph. We then give an explicit evaluation of this amplitude for an arbitrary graph. We show how this coherent amplitude can be obtained from the specialization of a generating functional obtained by the contraction of parametrized intertwiners la Schwinger. We finally give the explicit evaluation of this generating functional for arbitrary graphs.

  7. Better Buildings Network View July 2015

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

    News From the Field Tailor Your Social Media Marketing With New Network Toolkit The U.S. Department of Energy's (DOE's) Better Buildings Residential Network has developed a Social Media Toolkit to help residential energy efficiency programs assess and determine the best social media platforms for their programs to engage potential home energy upgrade customers by building brand awareness. Thinking beyond the one-way conversation of traditional publishing and achieving a two-way dynamic using

  8. Better Buildings Network View, April 2014

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

    April 2014 News From the Field Residential Network Member Pushes Energy- Efficient Affordable Housing in Buffalo, New York Better Buildings Residential Network member PUSH (People United for Sustainable Housing) Buffalo broke ground in March 2014 on its Massachusetts Avenue Sustainable Homes (MASH) project. The initiative will create energy- efficient, affordable housing by renovating two vacant historic buildings and building one new multifamily structure. Part of the project's Community

  9. Better Buildings Network View, February 2015

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

    News From the Field New Lessons Learned Interview: GTECH Strategies Shares Partnership Successes Better Buildings Residential Network member GTECH Strategies' Healthy Homes Incentive Program (HHIP) is utilizing funding from Allegheny County, Partnerships Toolkit Pennsylvania's health Are you ready to start forming agency to increase strategic partnerships for your residents' home indoor air organization? Download the quality while saving energy Residential Network and money. To help

  10. Better Buildings Network View, June 2015

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

    Better Buildings Network View News From the Field June 2015 First-Ever Network Member Gathering Held at 2015 Better Buildings Summit More than 800 participants met at the 2015 Better Buildings Summit in Washington, D.C., to engage in dialogue focused on sharing proven approaches for greater energy efficiency in buildings. This year was the first to incorporate the residential sector with targeted sessions for energy efficiency program administrators and partners. Speakers included leaders from

  11. Better Buildings Network View, October 2014

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

    October 2014 News From the Field Peer Exchange Call Takeaways Inspire New Lessons Learned Greatest Hits A new "Lessons Learned: Peer Exchange Calls" resource summarizes top takeaways shared by Better Buildings Residential Network members, from tips to collaborating with utilities to cost-effective rebate models. The Residential Network hosts a series of Peer Exchange Calls for members to discuss similar needs and challenges, and to collectively identify effective strategies and useful

  12. New Sensor Network Technology Increases Manufacturing Efficiency |

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

    Department of Energy Sensor Network Technology Increases Manufacturing Efficiency New Sensor Network Technology Increases Manufacturing Efficiency April 11, 2013 - 12:00am Addthis EERE supported Eaton Corporation in the development and successful deployment of an electric motor overload and monitoring solid-state relay. Eaton's relay, called Motor Insight(tm), can reduce installation and infrastructure costs for manufacturers by up to 84% compared with conventionally wired systems. Motor

  13. Wireless Sensor Network for Electric Transmission Line Monitoring

    SciTech Connect (OSTI)

    Alphenaar, Bruce

    2009-06-30

    Generally, federal agencies tasked to oversee power grid reliability are dependent on data from grid infrastructure owners and operators in order to obtain a basic level of situational awareness. Since there are many owners and operators involved in the day-to-day functioning of the power grid, the task of accessing, aggregating and analyzing grid information from these sources is not a trivial one. Seemingly basic tasks such as synchronizing data timestamps between many different data providers and sources can be difficult as evidenced during the post-event analysis of the August 2003 blackout. In this project we investigate the efficacy and cost effectiveness of deploying a network of wireless power line monitoring devices as a method of independently monitoring key parts of the power grid as a complement to the data which is currently available to federal agencies from grid system operators. Such a network is modeled on proprietary power line monitoring technologies and networks invented, developed and deployed by Genscape, a Louisville, Kentucky based real-time energy information provider. Genscape measures transmission line power flow using measurements of electromagnetic fields under overhead high voltage transmission power lines in the United States and Europe. Opportunities for optimization of the commercial power line monitoring technology were investigated in this project to enable lower power consumption, lower cost and improvements to measurement methodologies. These optimizations were performed in order to better enable the use of wireless transmission line monitors in large network deployments (perhaps covering several thousand power lines) for federal situational awareness needs. Power consumption and cost reduction were addressed by developing a power line monitor using a low power, low cost wireless telemetry platform known as the ''Mote''. Motes were first developed as smart sensor nodes in wireless mesh networking applications. On such a platform, it has been demonstrated in this project that wireless monitoring units can effectively deliver real-time transmission line power flow information for less than $500 per monitor. The data delivered by such a monitor has during the course of the project been integrated with a national grid situational awareness visualization platform developed by Oak Ridge National Laboratory. Novel vibration energy scavenging methods based on piezoelectric cantilevers were also developed as a proposed method to power such monitors, with a goal of further cost reduction and large-scale deployment. Scavenging methods developed during the project resulted in 50% greater power output than conventional cantilever-based vibrational energy scavenging devices typically used to power smart sensor nodes. Lastly, enhanced and new methods for electromagnetic field sensing using multi-axis magnetometers and infrared reflectometry were investigated for potential monitoring applications in situations with a high density of power lines or high levels of background 60 Hz noise in order to isolate power lines of interest from other power lines in close proximity. The goal of this project was to investigate and demonstrate the feasibility of using small form factor, highly optimized, low cost, low power, non-contact, wireless electric transmission line monitors for delivery of real-time, independent power line monitoring for the US power grid. The project was divided into three main types of activity as follows; (1) Research into expanding the range of applications for non-contact power line monitoring to enable large scale low cost sensor network deployments (Tasks 1, 2); (2) Optimization of individual sensor hardware components to reduce size, cost and power consumption and testing in a pilot field study (Tasks 3,5); and (3) Demonstration of the feasibility of using the data from the network of power line monitors via a range of custom developed alerting and data visualization applications to deliver real-time information to federal agencies and others tasked with grid reliability (Tasks 6,8).

  14. Systematic Optimization of Long Gradient Chromatography Mass Spectrometry for Deep Analysis of Brain Proteome

    SciTech Connect (OSTI)

    Wang, Hong; Yang, Yanling; Li, Yuxin; Bai, Bing; Wang, Xusheng; Tan, Haiyan; Liu, Tao; Beach, Thomas G.; Peng, Junmun; Wu, Zhiping

    2015-02-06

    Development of high resolution liquid chromatography (LC) is essential for improving the sensitivity and throughput of mass spectrometry (MS)-based proteomics. Here we present systematic optimization of a long gradient LC-MS/MS platform to enhance protein identification from a complex mixture. The platform employed an in-house fabricated, reverse phase column (100 μm x 150 cm) coupled with Q Exactive MS. The column was capable of achieving a peak capacity of approximately 700 in a 720 min gradient of 10-45% acetonitrile. The optimal loading level was about 6 micrograms of peptides, although the column allowed loading as many as 20 micrograms. Gas phase fractionation of peptide ions further increased the number of peptide identification by ~10%. Moreover, the combination of basic pH LC pre-fractionation with the long gradient LC-MS/MS platform enabled the identification of 96,127 peptides and 10,544 proteins at 1% protein false discovery rate in a postmortem brain sample of Alzheimer’s disease. As deep RNA sequencing of the same specimen suggested that ~16,000 genes were expressed, current analysis covered more than 60% of the expressed proteome. Further improvement strategies of the LC/LC-MS/MS platform were also discussed.

  15. Abuse Tolerance Improvements | Department of Energy

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

    Improvements Abuse Tolerance Improvements 2012 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting PDF icon es036_orendorff_2012_o.pdf More Documents & Publications Vehicle Technologies Office Merit Review 2013: Abuse Tolerance Improvements Evaluation of Abuse Tolerance Improvements Vehicle Technologies Office Merit Review 2015: Abuse Tolerance Improvements

  16. Global-Address Space Networking (GASNet) Library

    Energy Science and Technology Software Center (OSTI)

    2011-04-06

    GASNet (Global-Address Space Networking) is a language-independent, low-level networking layer that provides network-independent, high-performance communication primitives tailored for implementing parallel global address space SPMD languages such as UPC and Titanium. The interface is primarily intended as a compilation target and for use by runtime library writers (as opposed to end users), and the primary goals are high performance, interface portability, and expressiveness. GASNet is designed specifically to support high-performance, portable implementations of global address spacemore » languages on modern high-end communication networks. The interface provides the flexibility and extensibility required to express a wide variety of communication patterns without sacrificing performance by imposing large computational overheads in the interface. The design of the GASNet interface is partitioned into two layers to maximize porting ease without sacrificing performance: the lower level is a narrow but very general interface called the GASNet core API - the design is basedheavily on Active Messages, and is implemented directly on top of each individual network architecture. The upper level is a wider and more expressive interface called GASNet extended API, which provides high-level operations such as remote memory access and various collective operations. This release implements GASNet over MPI, the Quadrics "elan" API, the Myrinet "GM" API and the "LAPI" interface to the IBM SP switch. A template is provided for adding support for additional network interfaces.« less

  17. Radiation detection and situation management by distributed sensor networks

    SciTech Connect (OSTI)

    Jan, Frigo; Mielke, Angela; Cai, D Michael

    2009-01-01

    Detection of radioactive materials in an urban environment usually requires large, portal-monitor-style radiation detectors. However, this may not be a practical solution in many transport scenarios. Alternatively, a distributed sensor network (DSN) could complement portal-style detection of radiological materials through the implementation of arrays of low cost, small heterogeneous sensors with the ability to detect the presence of radioactive materials in a moving vehicle over a specific region. In this paper, we report on the use of a heterogeneous, wireless, distributed sensor network for traffic monitoring in a field demonstration. Through wireless communications, the energy spectra from different radiation detectors are combined to improve the detection confidence. In addition, the DSN exploits other sensor technologies and algorithms to provide additional information about the vehicle, such as its speed, location, class (e.g. car, truck), and license plate number. The sensors are in-situ and data is processed in real-time at each node. Relevant information from each node is sent to a base station computer which is used to assess the movement of radioactive materials.

  18. Preliminary systems engineering evaluations for the National Ecological Observatory Network.

    SciTech Connect (OSTI)

    Robertson, Perry J.; Kottenstette, Richard Joseph; Crouch, Shannon M.; Brocato, Robert Wesley; Zak, Bernard Daniel; Osborn, Thor D.; Ivey, Mark D.; Gass, Karl Leslie; Heller, Edwin J.; Dishman, James Larry; Schubert, William Kent; Zirzow, Jeffrey A.

    2008-11-01

    The National Ecological Observatory Network (NEON) is an ambitious National Science Foundation sponsored project intended to accumulate and disseminate ecologically informative sensor data from sites among 20 distinct biomes found within the United States and Puerto Rico over a period of at least 30 years. These data are expected to provide valuable insights into the ecological impacts of climate change, land-use change, and invasive species in these various biomes, and thereby provide a scientific foundation for the decisions of future national, regional, and local policy makers. NEON's objectives are of substantial national and international importance, yet they must be achieved with limited resources. Sandia National Laboratories was therefore contracted to examine four areas of significant systems engineering concern; specifically, alternatives to commercial electrical utility power for remote operations, approaches to data acquisition and local data handling, protocols for secure long-distance data transmission, and processes and procedures for the introduction of new instruments and continuous improvement of the sensor network. The results of these preliminary systems engineering evaluations are presented, with a series of recommendations intended to optimize the efficiency and probability of long-term success for the NEON enterprise.

  19. The fuel efficient missile combat crew routing network. Master's thesis

    SciTech Connect (OSTI)

    Jacques, E.O. Jr.; Woolley, M.G.

    1980-06-01

    Missile combat crew vehicles are the highest mileage accumulators within SAC and, in the interest of energy conservation, Vice CINCSAC has initiated a long-term study examining utilization of more fuel efficient crew vehicles. This thesis extends the SAC study by determining if alternate dispatch procedures and routes of travel, using currently assigned vehicles, would result in fuel conservation. A network routing model is used to determine the routes of travel for three deployment strategies and five vehicle types at the Minot AFB, ND test base. Fuel efficiency for these fifteen alternatives, measured as gallons of fuel consumed per passenger, is compared with the existing missile combat crew routing network. This study found that ten of the fifteen vehicle/deployment strategy combinations, when employed over the shortest authorized routes of travel that were developed, provided improvement over the fuel efficiency of the MCC routing system that was in effect as of 31 August 1979. The largest potential savings amounted to 52% or 26,255 gallons of fuel per year.

  20. A Phase 2 Trial of Stereotactic Radiosurgery Boost After Surgical Resection for Brain Metastases

    SciTech Connect (OSTI)

    Brennan, Cameron; Yang, T. Jonathan; Hilden, Patrick; Zhang, Zhigang; Chan, Kelvin; Yamada, Yoshiya; Chan, Timothy A.; Lymberis, Stella C.; Narayana, Ashwatha; Tabar, Viviane; Gutin, Philip H.; Ballangrud, se; Lis, Eric; Beal, Kathryn

    2014-01-01

    Purpose: To evaluate local control after surgical resection and postoperative stereotactic radiosurgery (SRS) for brain metastases. Methods and Materials: A total of 49 patients (50 lesions) were enrolled and available for analysis. Eligibility criteria included histologically confirmed malignancy with 1 or 2 intraparenchymal brain metastases, age ?18 years, and Karnofsky performance status (KPS) ?70. A Cox proportional hazard regression model was used to test for significant associations between clinical factors and overall survival (OS). Competing risks regression models, as well as cumulative incidence functions, were fit using the method of Fine and Gray to assess the association between clinical factors and both local failure (LF; recurrence within surgical cavity or SRS target), and regional failure (RF; intracranial metastasis outside of treated volume). Results: The median follow-up was 12.0 months (range, 1.0-94.1 months). After surgical resection, 39 patients with 40 lesions were treated a median of 31 days (range, 7-56 days) later with SRS to the surgical bed to a median dose of 1800 cGy (range, 1500-2200 cGy). Of the 50 lesions, 15 (30%) demonstrated LF after surgery. The cumulative LF and RF rates were 22% and 44% at 12 months. Patients who went on to receive SRS had a significantly lower incidence of LF (P=.008). Other factors associated with improved local control include non-small cell lung cancer histology (P=.048), tumor diameter <3 cm (P=.010), and deep parenchymal tumors (P=.036). Large tumors (?3 cm) with superficial dural/pial involvement showed the highest risk for LF (53.3% at 12 months). Large superficial lesions treated with SRS had a 54.5% LF. Infratentorial lesions were associated with a higher risk of developing RF compared to supratentorial lesions (P<.001). Conclusions: Postoperative SRS is associated with high rates of local control, especially for deep brain metastases <3 cm. Tumors ?3 cm with superficial dural/pial involvement demonstrate the highest risk of LF.