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. New Training Videos Leverage ESnet's Expertise to Improve Network

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

    Performance around the World New Training Videos Leverage ESnet's Expertise to Improve Network Performance around the World News & Publications ESnet News Media & Press Publications and Presentations Galleries ESnet Awards and Honors Contact Us Media Jon Bashor, jbashor@lbl.gov, +1 510 486 5849 or Media@es.net Technical Assistance: 1 800-33-ESnet (Inside the US) 1 800-333-7638 (Inside the US) 1 510-486-7600 (Globally) 1 510-486-7607 (Globally) Report Network Problems: trouble@es.net

  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. 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.

  6. 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

  7. 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

  8. D-Cycloserine improves functional outcome after traumatic brain injury with wide therapeutic window

    SciTech Connect (OSTI)

    Adeleye, A.; Biegon, A.; Adeleye, A.; Shohami, E.; Nachman, D.; Alexandrovich, A.; Trembovler, V.; Yaka, R.; Shoshan, Y.; Dhawan, J.; Biegon, A.

    2009-12-01

    It has been long thought that hyperactivation of N-methyl-D-aspartate (NMDA) receptors underlies neurological decline after traumatic brain injury. However, all clinical trials with NMDA receptor antagonists failed. Since NMDA receptors are down-regulated from 4 h to 2 weeks after brain injury, activation at 24 h, rather than inhibition, of these receptors, was previously shown to be beneficial in mice. Here, we tested the therapeutic window, dose regimen and mechanism of action of the NMDA receptor partial agonist d-cycloserine (DCS) in traumatic brain injury. Male mice were subjected to trauma using a weight-drop model, and administered 10 mg/kg (i.p.) DCS or vehicle once (8, 16, 24, or 72 h) twice (24 and 48 h) or three times (24, 48 and 72 h). Functional recovery was assessed for up to 60 days, using a Neurological Severity Score that measures neurobehavioral parameters. In all groups in which treatment was begun at 24 or 72 h neurobehavioral function was significantly better than in the vehicle-treated groups. Additional doses, on days 2 and 3 did not further improve recovery. Mice treated at 8 h or 16 h post injury did not differ from the vehicle-treated controls. Co-administration of the NMDA receptor antagonist MK-801 completely blocked the protective effect of DCS given at 24 h. Infarct volume measured by 2,3,5-triphenyltetrazolium chloride staining at 48 h or by cresyl violet at 28 days was not affected by DCS treatment. Since DCS is used clinically for other indications, the present study offers a novel approach for treating human traumatic brain injury with a therapeutic window of at least 24 h.

  9. MHD generator with improved network coupling electrodes to a load

    DOE Patents [OSTI]

    Rosa, Richard J.

    1977-01-01

    An MHD generator has a plurality of segmented electrodes extending longitudinally of a duct, whereby progressively increasing high DC voltages are derived from a set of cathode electrodes and progressively increasing low DC voltages are derived from a set of anode electrodes. First and second load terminals are respectively connected to the cathode and anode electrodes by separate coupling networks, each of which includes a number of SCR's and a number of diode rectifiers.

  10. 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

  11. 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.

  12. 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.

  13. Network

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

    ESnet About ESnet Our Mission The Network ESnet History Governance & Policies Career Opportunities ESnet Staff & Org Chart Contact Us 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 About ESnet A Platform for Science Discovery The Energy Sciences Network (ESnet) is a high-performance, unclassified network built to

  14. Using electronic templates and a centralized document production network to reduce cost and improve consistence between technical reports

    SciTech Connect (OSTI)

    Byrnes, M.E.

    1996-12-31

    In an effort to reduce the cost and improve the accuracy and consistency between technical reports being written by large companies or large Federal installations, SAIC has recently developed the Centralized Document Production Network (CDPN) Software. The CDPN Software is loaded with standardized electronic document templates along with standardized site-specific background text, tables, and figures. While users across the network are able to retrieve electronic templates and site-specific background text to support their report writing activities, modifications to the network text can only be made by designated experts which are assigned individual passwords. At this time, the CDPN software is being Beta Tested by Kaiser-Hill and Rocky Mountain Remediation Services at the US Department of Energy`s Rocky Flats Plant, in addition to multiple private sector corporations.

  15. 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.

  16. A simple way to improve path consistency processing in interval algebra networks

    SciTech Connect (OSTI)

    Bessiere, C.

    1996-12-31

    Reasoning about qualitative temporal information is essential in many artificial intelligence problems. In particular, many tasks can be solved using the interval-based temporal algebra introduced by Allen (A1183). In this framework, one of the main tasks is to compute the transitive closure of a network of relations between intervals (also called path consistency in a CSP-like terminology). Almost all previous path consistency algorithms proposed in the temporal reasoning literature were based on the constraint reasoning algorithms PC-1 and PC-2 (Mac77). In this paper, we first show that the most efficient of these algorithms is the one which stays the closest to PC-2. Afterwards, we propose a new algorithm, using the idea {open_quotes}one support is sufficient{close_quotes} (as AC-3 (Mac77) does for arc consistency in constraint networks). Actually, to apply this idea, we simply changed the way composition-intersection of relations was achieved during the path consistency process in previous algorithms.

  17. 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

    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.

  18. Sentient networks

    SciTech Connect (OSTI)

    Chapline, G.

    1998-03-01

    The engineering problems of constructing autonomous networks of sensors and data processors that can provide alerts for dangerous situations provide a new context for debating the question whether man-made systems can emulate the cognitive capabilities of the mammalian brain. In this paper we consider the question whether a distributed network of sensors and data processors can form ``perceptions`` based on sensory data. Because sensory data can have exponentially many explanations, the use of a central data processor to analyze the outputs from a large ensemble of sensors will in general introduce unacceptable latencies for responding to dangerous situations. A better idea is to use a distributed ``Helmholtz machine`` architecture in which the sensors are connected to a network of simple processors, and the collective state of the network as a whole provides an explanation for the sensory data. In general communication within such a network will require time division multiplexing, which opens the door to the possibility that with certain refinements to the Helmholtz machine architecture it may be possible to build sensor networks that exhibit a form of artificial consciousness.

  19. 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...

  20. 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.

  1. 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...

  2. 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

  3. Improvements in the computation of balances and localization of commercial losses of electric energy in 0.38-kV networks

    SciTech Connect (OSTI)

    Vorotnitskii, V. Z.; Zaslonov, S. V.; Lysyuk, S. S.

    2006-11-15

    An example of four 0.38-kV overhead distribution lines fed from a 10/0.4-kV transformer substation of the Grodno Electrical Networks (Belarus') and supplying electricity to a cottage area is used for analyzing energy balances and commercial losses in the networks. It is shown that the reliability of such analysis can be ensured by the use of modern software and electronic energy meters recording a retrospective of half-hourly intervals of active and reactive electric energy.

  4. The Network

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

    Network 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 The Network A Nationwide Platform for Science Discovery The

  5. Better Buildings Network View | September 2014 | Department of...

    Office of Environmental Management (EM)

    newsletter from the U.S. Department of Energy's Better Buildings Residential Network. ... Network View | December 2014 On-Bill Financing for Energy Efficiency Improvements Toolkit

  6. Cross-linked structure of network evolution

    SciTech Connect (OSTI)

    Bassett, Danielle S.; Wymbs, Nicholas F.; Grafton, Scott T.; Porter, Mason A.; Mucha, Peter J.

    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.

  7. 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...

  8. 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.

  9. Microsystem process networks

    DOE Patents [OSTI]

    Wegeng, Robert S.; TeGrotenhuis, Ward E.; Whyatt, Greg A.

    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.

  10. Microsystem process networks

    DOE Patents [OSTI]

    Wegeng, Robert S.; TeGrotenhuis, Ward E.; Whyatt, Greg A.

    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.

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

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  12. 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.

  13. 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

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

    Energy Savers [EERE]

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

  15. 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.

  16. 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.

  17. 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

  18. 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.

  19. 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.

  20. Network Policies

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

    Acceptable Use Policy About ESnet Our Mission The Network ESnet History Governance & Policies ESnet Policy Board ESCC Acceptable Use Policy Data Privacy Policy Facility Data Policy Career Opportunities ESnet Staff & Org Chart Contact Us 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 ESnet Acceptable Use Policy The

  1. Historical Network Maps

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

    Network Maps Network Traffic Volume Historical Network Maps Network Facts & Stats Connected Sites Peering Connections ESnet Site Availabiliy OSCARS Fasterdata IPv6 Network 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

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

    Energy Savers [EERE]

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

  3. 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...

  4. Decade of the Brain 1990--2000: Maximizing human potential

    SciTech Connect (OSTI)

    Not Available

    1991-04-01

    The US Decade of the Brain offers scientists throughout the Federal Government a unique opportunity to advance and apply scientific knowledge about the brain and nervous system. During the next 10 years, scientists hope to maximize human potential through studies of human behavior, senses and communication, learning and memory, genetic/chemical alterations, and environmental interactions. Progress in these areas should lead to reductions in mortality from brain and nervous system disorders and to improvements in the quality of life. This report identifies nine research areas that could form the basis of an integrated program in the brain and behavioral sciences. A chart summarizing the Federal activities in these nine areas may be found at the back of the report. In addition, three areas that span the nine research areas -- basic research, technology and international activities -- are considered.

  5. 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.

  6. 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...

  7. 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.

  8. 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.

  9. Home Improvement Catalyst: Strategies for Ongoing Customer Engagement (201)

    Broader source: Energy.gov [DOE]

    Better Buildings Residential Network Peer Exchange Call Series: Home Improvement Catalyst: Strategies for Ongoing Customer Engagement (201), call slides and discussion summary.

  10. 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...

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

  12. 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. ...

  13. 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

  14. ESnet Network Operating System (ENOS)

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

    Experimental Network Testbeds Performance (perfSONAR) Software & Tools Development Data ... Blog ESnet Live Home Network R&D Software-Defined Networking (SDN) ENOS Network ...

  15. 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.

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

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

    VEN Monthly Network Meeting Valley Entrepreneurs' Network (VEN) Monthly Network Meeting WHEN: Mar 05, 2015 5:30 PM - 7:00 PM WHERE: Anthony's At the Delta North Paseo De Onate, Española, NM CATEGORY: Community INTERNAL: Calendar Login Event Description An evening of exciting enterprise networking with like-minded entrepreneurs. For more information, contact Alejandro, VEN Coordinator, at (505) 410-0959

  17. Analysis of brain patterns using temporal measures

    DOE Patents [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.

  18. Efficiency Improvements

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

    efficiency improvements Efficiency Improvements New Target Alignment Sensor Installed on NIF For successful ignition experiments, NIF's 192 laser beams and targets must be aligned within a tolerance of about 20 microns-about one-fifth the diameter of an average human hair. Achieving this level of precision requires many fine-tuned calibrations and correlations between the laser beams and the target. Earlier this month a key instrument for achieving this level of precision, a new target alignment

  19. 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.

  20. 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.

  1. System and method for networking electrochemical devices

    DOE Patents [OSTI]

    Williams, Mark C.; Wimer, John G.; Archer, David H.

    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.

  2. The next generation of neural network chips

    SciTech Connect (OSTI)

    Beiu, V.

    1997-08-01

    There have been many national and international neural networks research initiatives: USA (DARPA, NIBS), Canada (IRIS), Japan (HFSP) and Europe (BRAIN, GALA TEA, NERVES, ELENE NERVES 2) -- just to mention a few. Recent developments in the field of neural networks, cognitive science, bioengineering and electrical engineering have made it possible to understand more about the functioning of large ensembles of identical processing elements. There are more research papers than ever proposing solutions and hardware implementations are by no means an exception. Two fields (computing and neuroscience) are interacting in ways nobody could imagine just several years ago, and -- with the advent of new technologies -- researchers are focusing on trying to copy the Brain. Such an exciting confluence may quite shortly lead to revolutionary new computers and it is the aim of this invited session to bring to light some of the challenging research aspects dealing with the hardware realizability of future intelligent chips. Present-day (conventional) technology is (still) mostly digital and, thus, occupies wider areas and consumes much more power than the solutions envisaged. The innovative algorithmic and architectural ideals should represent important breakthroughs, paving the way towards making neural network chips available to the industry at competitive prices, in relatively small packages and consuming a fraction of the power required by equivalent digital solutions.

  3. 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.

  4. ESnet - the energy sciences network strategic plan

    SciTech Connect (OSTI)

    1996-12-01

    The goal of the Energy Sciences Network (ESnet) Program is to provide a highly capable and reliable communications infrastructure that supports the Department of Energy`s (DOE) missions and enables DOE researchers to tap the power of leading-edge information technologies. ESnet provides an essential infrastructure that enhances national competitiveness and accelerates the development of future generations of high-performance, distributed computing systems and networks. These computing systems and networks are vital to modern scientific research. In addition, they enable development of new approaches to energy management, environmental restoration and waste management, national security, industrial processing, and health care, and also facilitate public access to government information. Extensive networks developed by the DOE`s high-energy physics and fusion energy research communities were the forerunners of the ESnet. These networks initially provided improved access to high-energy accelerator sites and to the Magnetic Fusion Energy Supercomputer Center, which opened at Lawrence Livermore National Laboratory in 1974.

  5. 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.

  6. 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. ...

  7. 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 Newsletter Signup SlideShare The Brain: Key To a Better Computer ...

  8. 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 ...

  9. 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 ...

  10. 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

  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 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

  13. 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.

  14. Class network routing

    DOE Patents [OSTI]

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

    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.

  15. 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.

  16. 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

  17. Science-Driven Network

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

    Science-Driven Network Requirements for ESnet Update to the 2002 Office of Science Networking Requirements Workshop Report February 21, 2006 1-1 Science-Driven Network Requirements for ESnet Update to the 2002 Office of Science Networking Requirements Workshop Report February 21, 2006 Contributors Paul Adams, LBNL (Advanced Light Source) Shane Canon, ORNL (NLCF) Steven Carter, ORNL (NLCF) Brent Draney, LBNL (NERSC) Martin Greenwald, MIT (Magnetic Fusion Energy) Jason Hodges, ORNL (Spallation

  18. Impact of Network Activity Levels on the Performance of Passive Network Service Dependency Discovery

    SciTech Connect (OSTI)

    Carroll, Thomas E.; Chikkagoudar, Satish; Arthur-Durett, Kristine M.

    2015-11-02

    Network services often do not operate alone, but instead, depend on other services distributed throughout a network to correctly function. If a service fails, is disrupted, or degraded, it is likely to impair other services. The web of dependencies can be surprisingly complex---especially within a large enterprise network---and evolve with time. Acquiring, maintaining, and understanding dependency knowledge is critical for many network management and cyber defense activities. While automation can improve situation awareness for network operators and cyber practitioners, poor detection accuracy reduces their confidence and can complicate their roles. In this paper we rigorously study the effects of network activity levels on the detection accuracy of passive network-based service dependency discovery methods. The accuracy of all except for one method was inversely proportional to network activity levels. Our proposed cross correlation method was particularly robust to the influence of network activity. The proposed experimental treatment will further advance a more scientific evaluation of methods and provide the ability to determine their operational boundaries.

  19. Metallic nanowire networks

    DOE Patents [OSTI]

    Song, Yujiang; Shelnutt, John A.

    2012-11-06

    A metallic nanowire network synthesized using chemical reduction of a metal ion source by a reducing agent in the presence of a soft template comprising a tubular inverse micellar network. The network of interconnected polycrystalline nanowires has a very high surface-area/volume ratio, which makes it highly suitable for use in catalytic applications.

  20. 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.

  1. LBNL Transactional Network Applications

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

    Transactional Network Environmental Energy Technologies Division, Lawrence Berkeley National Laboratory LBNL Team: Mary Ann Piette, Richard Brown, Phil Price, Janie Page, Stephen Czarnecki, Anna Liao, Stephen Lanzisera, Jessica Granderson . LBNL Transactional Network Applications 2 | Building Technologies Office eere.energy.gov LBNL Transactional Network Applications Baseline Load Shape provides basis for measuring change in peak demand and energy use Demand Response Event Scheduler coordinates

  2. Reconstructing cerebrovascular networks under local physiological constraints by integer programming

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

    Rempfler, Markus; Schneider, Matthias; Ielacqua, Giovanna D.; Xiao, Xianghui; Stock, Stuart R.; Klohs, Jan; Szekely, Gabor; Andres, Bjoern; Menze, Bjoern H.

    2015-04-23

    We introduce a probabilistic approach to vessel network extraction that enforces physiological constraints on the vessel structure. The method accounts for both image evidence and geometric relationships between vessels by solving an integer program, which is shown to yield the maximum a posteriori (MAP) estimate to the probabilistic model. Starting from an over-connected network, it is pruning vessel stumps and spurious connections by evaluating the local geometry and the global connectivity of the graph. We utilize a high-resolution micro computed tomography (µCT) dataset of a cerebrovascular corrosion cast to obtain a reference network and learn the prior distributions of ourmore » probabilistic model. As a result, we perform experiments on micro magnetic resonance angiography (µMRA) images of mouse brains and discuss properties of the networks obtained under different tracking and pruning approaches.« less

  3. Reconstructing cerebrovascular networks under local physiological constraints by integer programming

    SciTech Connect (OSTI)

    Rempfler, Markus; Schneider, Matthias; Ielacqua, Giovanna D.; Xiao, Xianghui; Stock, Stuart R.; Klohs, Jan; Szekely, Gabor; Andres, Bjoern; Menze, Bjoern H.

    2015-04-23

    We introduce a probabilistic approach to vessel network extraction that enforces physiological constraints on the vessel structure. The method accounts for both image evidence and geometric relationships between vessels by solving an integer program, which is shown to yield the maximum a posteriori (MAP) estimate to the probabilistic model. Starting from an over-connected network, it is pruning vessel stumps and spurious connections by evaluating the local geometry and the global connectivity of the graph. We utilize a high-resolution micro computed tomography (µCT) dataset of a cerebrovascular corrosion cast to obtain a reference network and learn the prior distributions of our probabilistic model. As a result, we perform experiments on micro magnetic resonance angiography (µMRA) images of mouse brains and discuss properties of the networks obtained under different tracking and pruning approaches.

  4. 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.

  5. 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...

  6. Internet protocol network mapper

    DOE Patents [OSTI]

    Youd, David W.; Colon III, Domingo R.; Seidl, Edward T.

    2016-02-23

    A network mapper for performing tasks on targets is provided. The mapper generates a map of a network that specifies the overall configuration of the network. The mapper inputs a procedure that defines how the network is to be mapped. The procedure specifies what, when, and in what order the tasks are to be performed. Each task specifies processing that is to be performed for a target to produce results. The procedure may also specify input parameters for a task. The mapper inputs initial targets that specify a range of network addresses to be mapped. The mapper maps the network by, for each target, executing the procedure to perform the tasks on the target. The results of the tasks represent the mapping of the network defined by the initial targets.

  7. DEFINING THE PLAYERS IN HIGHER-ORDER NETWORKS: PREDICTIVE MODELING FOR REVERSE ENGINEERING FUNCTIONAL INFLUENCE NETWORKS

    SciTech Connect (OSTI)

    McDermott, Jason E.; Costa, Michelle N.; Stevens, S.L.; Stenzel-Poore, Mary; Sanfilippo, Antonio P.

    2011-01-20

    A difficult problem that is currently growing rapidly due to the sharp increase in the amount of high-throughput data available for many systems is that of determining useful and informative causative influence networks. These networks can be used to predict behavior given observation of a small number of components, predict behavior at a future time point, or identify components that are critical to the functioning of the system under particular conditions. In these endeavors incorporating observations of systems from a wide variety of viewpoints can be particularly beneficial, but has often been undertaken with the objective of inferring networks that are generally applicable. The focus of the current work is to integrate both general observations and measurements taken for a particular pathology, that of ischemic stroke, to provide improved ability to produce useful predictions of systems behavior. A number of hybrid approaches have recently been proposed for network generation in which the Gene Ontology is used to filter or enrich network links inferred from gene expression data through reverse engineering methods. These approaches have been shown to improve the biological plausibility of the inferred relationships determined, but still treat knowledge-based and machine-learning inferences as incommensurable inputs. In this paper, we explore how further improvements may be achieved through a full integration of network inference insights achieved through application of the Gene Ontology and reverse engineering methods with specific reference to the construction of dynamic models of transcriptional regulatory networks. We show that integrating two approaches to network construction, one based on reverse-engineering from conditional transcriptional data, one based on reverse-engineering from in situ hybridization data, and another based on functional associations derived from Gene Ontology, using probabilities can improve results of clustering as evaluated by a

  8. 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.

  9. 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.

  10. 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.

  11. Seven Deadliest Network Attacks

    SciTech Connect (OSTI)

    Prowell, Stacy J; Borkin, Michael; Kraus, Robert

    2010-05-01

    Do you need to keep up with the latest hacks, attacks, and exploits effecting networks? Then you need "Seven Deadliest Network Attacks". This book pinpoints the most dangerous hacks and exploits specific to networks, laying out the anatomy of these attacks including how to make your system more secure. You will discover the best ways to defend against these vicious hacks with step-by-step instruction and learn techniques to make your computer and network impenetrable. Attacks detailed in this book include: Denial of Service; War Dialing; Penetration 'Testing'; Protocol Tunneling; Spanning Tree Attacks; Man-in-the-Middle; and, Password Replay. Knowledge is power, find out about the most dominant attacks currently waging war on computers and networks globally. Discover the best ways to defend against these vicious attacks; step-by-step instruction shows you how. Institute countermeasures, don't be caught defenseless again, learn techniques to make your computer and network impenetrable.

  12. Reconfigureable network node

    DOE Patents [OSTI]

    Vanderveen, Keith B.; Talbot, Edward B.; Mayer, Laurence E.

    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.

  13. 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

  14. Networking and Application Strategies

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

    Networking and Application Strategies Networking and Application Strategies Los Alamos Lab recruits the best minds on the planet and offers job search information and assistance to our dual career spouses or partners. Contact Us dualcareers@lanl.gov You know more people than you think Having strong existing connections and building new ones is essential to finding a job-especially for a dual career family that is new to the Los Alamos area. Networking is a proven and effective way to increase

  15. BER Science Network Requirements

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

    ... However, once this step is completed, the network transfers of data or documentation may not need the same level of protection accorded to the authentication credentials. For the ...

  16. LBNL Transactional Network Applications

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

    Load Shape provides basis for measuring change in peak demand and energy use Demand Response Event Scheduler coordinates DR signals from outside server with available network ...

  17. 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 ... Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel ...

  18. Rooftop Unit Network Project

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

    part load performance - equipment maintenance * RTUs cannot easily interact with the ... Diagnostics - RTU Network Platform * Smart Monitoring and Diagnostics - Cloud * Autonomous ...

  19. 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...

  20. 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...

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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...

  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 America, it is more important than ever to discover ways to treat or prevent diseases...

  8. Better Buildings Residential Network | Department of Energy

    Energy Savers [EERE]

    Residential Buildings Better Buildings Residential Network Better Buildings Residential Network Better Buildings Residential Network Explore Latest Peer Exchange Call Summaries ...

  9. New Training Videos Leverage ESnet's Expertise to Improve Network...

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

    ... 19 Asian nations earlier this year, the research and education communities of Zambia, Ecuador, Uganda and the Central Asian republics of the former Soviet Union, plus many others. ...

  10. 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

    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.

  11. 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.

  12. 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...

  13. 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.

  14. Residential Network Members Unite to Form Green Bank Network...

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

    The NY Green Bank logo. Residential Network members Connecticut Green Bank and NY Green Bank, a division of Residential Network member New York State Energy Research and ...

  15. 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.

  16. 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.

  17. 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.

  18. 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.

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

    Office of Scientific and Technical Information (OSTI)

    Chronic, Multi-Contact, Neural Interface for Deep Brain Stimulation Citation Details In-Document Search Title: Chronic, Multi-Contact, Neural Interface for Deep Brain Stimulation ...

  20. 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 ...

  1. Neural Interface for Deep Brain Stimulation (Conference) | SciTech...

    Office of Scientific and Technical Information (OSTI)

    Neural Interface for Deep Brain Stimulation Citation Details In-Document Search Title: Neural Interface for Deep Brain Stimulation Authors: Tooker, A C ; Madsen, T E ; Crowell, A ; ...

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

    Office of Scientific and Technical Information (OSTI)

    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

  3. 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 ...

  4. The blood-brain barrier penetration and distribution of PEGylated...

    Office of Scientific and Technical Information (OSTI)

    fluorescein-doped magnetic silica nanoparticles in rat brain Citation Details ... fluorescein-doped magnetic silica nanoparticles in rat brain PEGylated PAMAM ...

  5. Delayed switching applied to memristor neural networks

    SciTech Connect (OSTI)

    Wang, Frank Z.; Yang Xiao; Lim Guan; Helian Na; Wu Sining; Guo Yike; Rashid, Md Mamunur

    2012-04-01

    Magnetic flux and electric charge are linked in a memristor. We reported recently that a memristor has a peculiar effect in which the switching takes place with a time delay because a memristor possesses a certain inertia. This effect was named the ''delayed switching effect.'' In this work, we elaborate on the importance of delayed switching in a brain-like computer using memristor neural networks. The effect is used to control the switching of a memristor synapse between two neurons that fire together (the Hebbian rule). A theoretical formula is found, and the design is verified by a simulation. We have also built an experimental setup consisting of electronic memristive synapses and electronic neurons.

  6. 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.

  7. Energy Efficient Digital Networks

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

    and rising * About 7% of all U.S. electricity consumption -Much of this digitally networked already Our Future? Media room in high-end home Electronics are Different - Service ...

  8. Energy Materials Network Overview

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

    30 th , 2016 2 MGI - Framework New Material Innovations for Clean Energy 2X Faster and 2X Cheaper Predictive Simulation Across Scales Synthesis & Characterization Rapid Screening End Use Performance Process Scalability Process Control Real-time Characterization Reliability Validation Data Management & Informatics Coordinated resource network with a suite of capabilities for advanced materials R&D In Support of the Materials Genome Initiative (MGI) 3 Network Requirements 1. WORLD

  9. 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.

  10. 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.

  11. 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.

  12. 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

  13. On-demand Overlay Networks for Large Scientific Data Transfers

    SciTech Connect (OSTI)

    Ramakrishnan, Lavanya; Guok, Chin; Jackson, Keith; Kissel, Ezra; Swany, D. Martin; Agarwal, Deborah

    2009-10-12

    Large scale scientific data transfers are central to scientific processes. Data from large experimental facilities have to be moved to local institutions for analysis or often data needs to be moved between local clusters and large supercomputing centers. In this paper, we propose and evaluate a network overlay architecture to enable highthroughput, on-demand, coordinated data transfers over wide-area networks. Our work leverages Phoebus and On-demand Secure Circuits and AdvanceReservation System (OSCARS) to provide high performance wide-area network connections. OSCARS enables dynamic provisioning of network paths with guaranteed bandwidth and Phoebus enables the coordination and effective utilization of the OSCARS network paths. Our evaluation shows that this approach leads to improved end-to-end data transfer throughput with minimal overheads. The achievedthroughput using our overlay was limited only by the ability of the end hosts to sink the data.

  14. 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

  15. Large-Scale Simulation of Brain Tissue: Blue Brain Project, EPFL | Argonne

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

    Leadership Computing Facility Digital reconstruction of pyramidal cells Digital reconstruction of pyramidal cells. Blue Brain Project, Ecole Polytechnique Federale de Lausanne Large-Scale Simulation of Brain Tissue: Blue Brain Project, EPFL PI Name: Fabien Delalondre PI Email: fabien.delalondre@epfl.ch Institution: Ecole Federale Polytechnique de Lausanne Allocation Program: ESP Year: 2015 Research Domain: Biological Sciences Tier 1 Science Project Science This ESP project will be used to

  16. A Designed Protein Maps Brain Activity

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

    but also leads to an understanding of what causes the brain to malfunction, such as in autism, diseases, and mental disorders. CaMPARI expression in zebrafish larvae under various...

  17. A Designed Protein Maps Brain Activity

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

    ... CaMPARI is an outstanding new tool for mapping brain activity, but it could be made even ... information about CaMPARI, as well as the DNA needed to produce it and the zebrafish ...

  18. 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

  19. Imaging, Characterizing, and Modeling of Fracture Networks and Fluid Flow

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

    in EGS Reservoirs | Department of Energy Imaging, Characterizing, and Modeling of Fracture Networks and Fluid Flow in EGS Reservoirs Imaging, Characterizing, and Modeling of Fracture Networks and Fluid Flow in EGS Reservoirs Project objectives: Improve image resolution for microseismicimaging and time-lapse active seismic imaging; Enhance the prediction of fluid flow and temperature distributions and stress changes by coupling fracture flow simulations with reservoir flow simulations; and

  20. Advance Network Reservation and Provisioning for Science

    SciTech Connect (OSTI)

    Balman, Mehmet; Chaniotakis, Evangelos; Shoshani, Arie; Sim, Alex

    2009-07-10

    We are witnessing a new era that offers new opportunities to conduct scientific research with the help of recent advancements in computational and storage technologies. Computational intensive science spans multiple scientific domains, such as particle physics, climate modeling, and bio-informatics simulations. These large-scale applications necessitate collaborators to access very large data sets resulting from simulations performed in geographically distributed institutions. Furthermore, often scientific experimental facilities generate massive data sets that need to be transferred to validate the simulation data in remote collaborating sites. A major component needed to support these needs is the communication infrastructure which enables high performance visualization, large volume data analysis, and also provides access to computational resources. In order to provide high-speed on-demand data access between collaborating institutions, national governments support next generation research networks such as Internet 2 and ESnet (Energy Sciences Network). Delivering network-as-a-service that provides predictable performance, efficient resource utilization and better coordination between compute and storage resources is highly desirable. In this paper, we study network provisioning and advanced bandwidth reservation in ESnet for on-demand high performance data transfers. We present a novel approach for path finding in time-dependent transport networks with bandwidth guarantees. We plan to improve the current ESnet advance network reservation system, OSCARS [3], by presenting to the clients, the possible reservation options and alternatives for earliest completion time and shortest transfer duration. The Energy Sciences Network (ESnet) provides high bandwidth connections between research laboratories and academic institutions for data sharing and video/voice communication. The ESnet On-Demand Secure Circuits and Advance Reservation System (OSCARS) establishes

  1. 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.

  2. 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.

  3. 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.

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

    SciTech Connect (OSTI)

    Cabral, Joana; Fernandes, Henrique M.; Van Hartevelt, Tim J.; Kringelbach, Morten L.; James, Anthony C.; Deco, Gustavo

    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.

  5. Network topology mapper

    DOE Patents [OSTI]

    Quist, Daniel A.; Gavrilov, Eugene M.; Fisk, Michael E.

    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.

  6. 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

  7. Improving Data Mobility & Management for International Cosmology

    SciTech Connect (OSTI)

    Borrill, Julian; Dart, Eli; Gore, Brooklin; Habib, Salman; Myers, Steven T.; Nugent, Peter; Petravick, Don; Thomas, Rollin

    2015-10-02

    In February 2015 the third workshop in the CrossConnects series, with a focus on Improving Data Mobility & Management for International Cosmology, was held at Lawrence Berkeley National Laboratory. Scientists from fields including astrophysics, cosmology, and astronomy collaborated with experts in computing and networking to outline strategic opportunities for enhancing scientific productivity and effectively managing the ever-increasing scale of scientific data.

  8. 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

  9. 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.

  10. Efficiency Improvements - 2016

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

    6 Efficiency Improvements - 2016 June Dual-Purpose Positioner Installed on NIF March A NIF Record: 17 Shots in a Week January Improving Optics Processing Efficiencies

  11. Hydropower Process Improvements

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

    Process Improvements William J. Palmer Hydropower Program Manager South Atlantic Division 2 April 2015 BUILDING STRONG Focus Areas For Process Improvements InspectionsCondition ...

  12. 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.

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

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

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

  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. 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...

  16. 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...

  17. 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 ...

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

    Energy Savers [EERE]

    Benefits of Better Buildings Residential Network Reporting Benefits of Better Buildings Residential Network Reporting Better Buildings Residential Network All-Member Peer Exchange ...

  19. Better Buildings Residential Network Orientation Webinar Call...

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

    ... Residential Network (Residential Network) Better Buildings Residential Network: Connects energy efficiency programs and partners to share best practices to increase the ...

  20. Arithmetic functions in torus and tree networks

    DOE Patents [OSTI]

    Bhanot, Gyan; Blumrich, Matthias A.; Chen, Dong; Gara, Alan G.; Giampapa, Mark E.; Heidelberger, Philip; Steinmacher-Burow, Burkhard D.; Vranas, Pavlos M.

    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.

  1. 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.

  2. Functional performance requirements for seismic network upgrade

    SciTech Connect (OSTI)

    Lee, R.C.

    1991-08-18

    The SRL seismic network, established in 1976, was developed to monitor site and regional seismic activity that may have any potential to impact the safety or reduce containment capability of existing and planned structures and systems at the SRS, report seismic activity that may be relevant to emergency preparedness, including rapid assessments of earthquake location and magnitude, and estimates of potential on-site and off-site damage to facilities and lifelines for mitigation measures. All of these tasks require SRL seismologists to provide rapid analysis of large amounts of seismic data. The current seismic network upgrade, the subject of this Functional Performance Requirements Document, is necessary to improve system reliability and resolution. The upgrade provides equipment for the analysis of the network seismic data and replacement of old out-dated equipment. The digital network upgrade is configured for field station and laboratory digital processing systems. The upgrade consists of the purchase and installation of seismic sensors,, data telemetry digital upgrades, a dedicated Seismic Data Processing (SDP) system (already in procurement stage), and a Seismic Signal Analysis (SSA) system. The field stations and telephone telemetry upgrades include equipment necessary for three remote station upgrades including seismic amplifiers, voltage controlled oscillators, pulse calibrators, weather protection (including lightning protection) systems, seismometers, seismic amplifiers, and miscellaneous other parts. The central receiving and recording station upgrades will include discriminators, helicopter amplifier, omega timing system, strong motion instruments, wide-band velocity sensors, and other miscellaneous equipment.

  3. 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 Energy’s (DOE’s) 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.

  4. BER Science Network Requirements

    SciTech Connect (OSTI)

    Alapaty, Kiran; Allen, Ben; Bell, Greg; Benton, David; Brettin, Tom; Canon, Shane; Dart, Eli; Cotter, Steve; Crivelli, Silvia; Carlson, Rich; Dattoria, Vince; Desai, Narayan; Egan, Richard; Tierney, Brian; Goodwin, Ken; Gregurick, Susan; Hicks, Susan; Johnston, Bill; de Jong, Bert; Kleese van Dam, Kerstin; Livny, Miron; Markowitz, Victor; McGraw, Jim; McCord, Raymond; Oehmen, Chris; Regimbal, Kevin; Shipman, Galen; Strand, Gary; Flick, Jeff; Turnbull, Susan; Williams, Dean; Zurawski, Jason

    2010-11-01

    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 2010 ESnet and the Office of Biological and Environmental Research, of the DOE Office of Science, organized a workshop to characterize the networking requirements of the science programs funded by BER. The requirements identified at the workshop are summarized and described in more detail in the case studies and the Findings section. A number of common themes emerged from the case studies and workshop discussions. One is that BER science, like many other disciplines, is becoming more and more distributed and collaborative in nature. Another common theme is that data set sizes are exploding. Climate Science in particular is on the verge of needing to manage exabytes of data, and Genomics is on the verge of a huge paradigm shift in the number of sites with sequencers and the amount of sequencer data being generated.

  5. Energy Materials Network Workshop

    Office of Energy Efficiency and Renewable Energy (EERE)

    The Energy Materials Network (EMN) is a national lab-led initiative that aims to dramatically decrease the time-to-market for advanced materials innovations critical to many clean energy technologies. Through targeted consortia offering accessible suites of advanced research and development capabilities, EMN is accelerating materials development to address U.S. manufacturers' most pressing materials challenges.

  6. 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.

  7. Software Defined Networking (SDN) Project

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

    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

  8. Multiple network interface core apparatus and method

    DOE Patents [OSTI]

    Underwood, Keith D.; Hemmert, Karl Scott

    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.

  9. 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

  10. 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.

  11. A performance data network for solar process heat systems

    SciTech Connect (OSTI)

    Barker, G.; Hale, M.J.

    1996-03-01

    A solar process heat (SPH) data network has been developed to access remote-site performance data from operational solar heat systems. Each SPH system in the data network is outfitted with monitoring equipment and a datalogger. The datalogger is accessed via modem from the data network computer at the National Renewable Energy Laboratory (NREL). The dataloggers collect both ten-minute and hourly data and download it to the data network every 24-hours for archiving, processing, and plotting. The system data collected includes energy delivered (fluid temperatures and flow rates) and site meteorological conditions, such as solar insolation and ambient temperature. The SPH performance data network was created for collecting performance data from SPH systems that are serving in industrial applications or from systems using technologies that show promise for industrial applications. The network will be used to identify areas of SPH technology needing further development, to correlate computer models with actual performance, and to improve the credibility of SPH technology. The SPH data network also provides a centralized bank of user-friendly performance data that will give prospective SPH users an indication of how actual systems perform. There are currently three systems being monitored and archived under the SPH data network: two are parabolic trough systems and the third is a flat-plate system. The two trough systems both heat water for prisons; the hot water is used for personal hygiene, kitchen operations, and laundry. The flat plate system heats water for meat processing at a slaughter house. We plan to connect another parabolic trough system to the network during the first months of 1996. We continue to look for good examples of systems using other types of collector technologies and systems serving new applications (such as absorption chilling) to include in the SPH performance data network.

  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. 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.

  14. 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:...

  15. 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.

  16. Better Buildings Network View | February 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.

  17. 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.

  18. 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.

  19. 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.

  20. 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.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  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 | 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.

  7. 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.

  8. 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.

  9. 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

  10. 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 fluorescence mapping ex perimental setup. Synchrotron x-rays at 11 keV passed through a 50 µm aperture (Ap). The beam intensity was monitored with a N2-filled ion chamber (I0). The brain slice was mounted vertically on a motorized stage (St) at 45° to the incident x-ray beam and raster scanned in the beam. A 13-element Ge detector (Ge) was positioned at a 90° angle to the beam. We all require iron, copper and

  11. 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

  12. Modular sensor network node

    DOE Patents [OSTI]

    Davis, Jesse Harper Zehring; Stark, Jr., Douglas Paul; Kershaw, Christopher Patrick; Kyker, Ronald Dean

    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.

  13. 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

  14. 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.

  15. Bicriteria network design problems

    SciTech Connect (OSTI)

    Marathe, M.V.; Ravi, R.; Sundaram, R.; Ravi, S.S.; Rosenkrantz, D.J.; Hunt, H.B. III

    1997-11-20

    The authors study a general class of bicriteria network design problems. A generic problem in this class is as follows: Given an undirected graph and two minimization objectives (under different cost functions), with a budget specified on the first, find a subgraph from a given subgraph class that minimizes the second objective subject to the budget on the first. They consider three different criteria -- the total edge cost, the diameter and the maximum degree of the network. Here, they present the first polynomial-time approximation algorithms for a large class of bicriteria network design problems for the above mentioned criteria. The following general types of results are presented. First, they develop a framework for bicriteria problems and their approximations. Second, when the two criteria are the same they present a black box parametric search technique. This black box takes in as input an (approximation) algorithm for the criterion situation and generates an approximation algorithm for the bicriteria case with only a constant factor loss in the performance guarantee. Third, when the two criteria are the diameter and the total edge costs they use a cluster based approach to devise approximation algorithms. The solutions violate both the criteria by a logarithmic factor. Finally, for the class of treewidth-bounded graphs, they provide pseudopolynomial-time algorithms for a number of bicriteria problems using dynamic programming. The authors show how these pseudopolynomial-time algorithms can be converted to fully polynomial-time approximation schemes using a scaling technique.

  16. Characterization of the Mouse Brain Proteome Using Global Proteomic Analysis Complemented with Cysteinyl-Peptide Enrichment

    SciTech Connect (OSTI)

    Wang, Haixing H.; Qian, Weijun; Chin, Mark H.; Petyuk, Vladislav A.; Barry, Richard C.; Liu, Tao; Gritsenko, Marina A.; Mottaz, Heather M.; Moore, Ronald J.; Camp, David G.; Khan, Arshad H.; Smith, Desmond; Smith, Richard D.

    2006-02-01

    Given the growing interest in applying genomic and proteomic approaches for studying the mammalian brain using mouse models, we hereby present for the first time a comprehensive characterization of the mouse brain proteome. Preparation of the whole brain sample incorporated a highly efficient cysteinyl-peptide enrichment (CPE) technique to complement a global enzymatic digestion method. Both the global and the cysteinyl-enriched peptide samples were analyzed by SCX fractionation coupled with reversed phase LC-MS/MS analysis. A total of 48,328 different peptides were confidently identified (>98% confidence level), covering 7792 non-redundant proteins (~34% of the predicted mouse proteome). 1564 and 1859 proteins were identified exclusively from the cysteinyl-peptide and the global peptide samples, respectively, corresponding to 25% and 31% improvements in proteome coverage compared to analysis of only the global peptide or cysteinyl-peptide samples. The identified proteins provide a broad representation of the mouse proteome with little bias evident due to protein pI, molecular weight, and/or cellular localization. Approximately 26% of the identified proteins with gene ontology (GO) annotations were membrane proteins, with 1447 proteins predicted to have transmembrane domains, and many of the membrane proteins were found to be involved in transport and cell signaling. The MS/MS spectrum count information for the identified proteins was used to provide a measure of relative protein abundances. The mouse brain peptide/protein database generated from this study represents the most comprehensive proteome coverage for the mammalian brain to date, and the basis for future quantitative brain proteomic studies using mouse models.

  17. 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 ...

  18. Improved technical specifications

    SciTech Connect (OSTI)

    Hoffman, D.R.

    1994-12-31

    Improved technical specifications for nuclear power plants are outlined. The objectives of this work are to improve safety, provide a clearer understanding of safety significance, and ease NRC and industry administrative burdens. Line item improvements, bases, and implementation of the specifications are discussed.

  19. 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.

  20. 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

  1. 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).

  2. 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.

  3. 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.

  4. 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

  5. Home Improvement Catalyst: Sequencing Upgrades and Engaging Homeowners Over

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

    Time (201) | Department of Energy Sequencing Upgrades and Engaging Homeowners Over Time (201) Home Improvement Catalyst: Sequencing Upgrades and Engaging Homeowners Over Time (201) Better Buildings Residential Network Peer Exchange Call Series: Home Improvement Catalyst: Sequencing Upgrades and Engaging Homeowners Over Time (201), March 24, 2016, call slides and discussion summary. Call Slides and Discussion Summary (5.69 MB) More Documents & Publications Five and Dime: Revisiting

  6. 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.

  7. 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.

  8. Network Upgrade for the SLC: PEP II Network

    SciTech Connect (OSTI)

    Crane, M.; Call, M.; Clark, S.; Coffman, F.; Himel, T.; Lahey, T.; Miller, E.; Sass, R.; /SLAC

    2011-09-09

    The PEP-II control system required a new network to support the system functions. This network, called CTLnet, is an FDDI/Ethernet based network using only TCP/IP protocols. An upgrade of the SLC Control System micro communications to use TCP/IP and SLCNET would allow all PEP-II control system nodes to use TCP/IP. CTLnet is private and separate from the SLAC public network. Access to nodes and control system functions is provided by multi-homed application servers with connections to both the private CTLnet and the SLAC public network. Monitoring and diagnostics are provided using a dedicated system. Future plans and current status information is included.

  9. 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.

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

    Office of Environmental Management (EM)

    newsletter from the U.S. Department of Energy's Better Buildings Residential Network. ... Better Buildings Network View | June 2015 Nothing But Networking for Residential Network ...

  11. 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.

  12. Global interrupt and barrier networks

    DOE Patents [OSTI]

    Blumrich, Matthias A.; Chen, Dong; Coteus, Paul W.; Gara, Alan G.; Giampapa, Mark E; Heidelberger, Philip; Kopcsay, Gerard V.; Steinmacher-Burow, Burkhard D.; Takken, Todd E.

    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.

  13. RNEDE: Resilient Network Design Environment

    SciTech Connect (OSTI)

    Venkat Venkatasubramanian, Tanu Malik, Arun Giridh; Craig Rieger; Keith Daum; Miles McQueen

    2010-08-01

    Modern living is more and more dependent on the intricate web of critical infrastructure systems. The failure or damage of such systems can cause huge disruptions. Traditional design of this web of critical infrastructure systems was based on the principles of functionality and reliability. However, it is increasingly being realized that such design objectives are not sufficient. Threats, disruptions and faults often compromise the network, taking away the benefits of an efficient and reliable design. Thus, traditional network design parameters must be combined with self-healing mechanisms to obtain a resilient design of the network. In this paper, we present RNEDEa resilient network design environment that that not only optimizes the network for performance but tolerates fluctuations in its structure that result from external threats and disruptions. The environment evaluates a set of remedial actions to bring a compromised network to an optimal level of functionality. The environment includes a visualizer that enables the network administrator to be aware of the current state of the network and the suggested remedial actions at all times.

  14. 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.

  15. 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.

  16. 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.

  17. 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.

  18. 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

  19. Network Information System

    SciTech Connect (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 are 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

  20. 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.

  1. 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.

    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.

  2. 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.

  3. 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

  4. 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:...

  5. 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...

  6. 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...

  7. 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

  8. Better Buildings Network View, April 2015

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

    ... Laboratory) announcement emails sent to Residential Network members or via the Residential Network Group on Home Energy Pros. To receive emails about upcoming calls, contact ...

  9. Better Buildings Network View, July 2014

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

    ... summaries through announcement emails sent to Residential Network members or via the Residential Network Group on Home Energy Pros. To receive emails about upcoming calls email ...

  10. 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 ...

  11. 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 ...

  12. 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...

  13. 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:...

  14. 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...

  15. 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...

  16. Better Buildings Residential Network Membership Form | Department...

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

    of Energy's Better Buildings Residential Network. BBRN Membership Form (138.55 KB) More Documents & Publications Better Buildings Residential Network Orientation Fact Sheet: ...

  17. Better Buildings Residential Network Program Sustainability Peer...

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

    11, 2014 Better Buildings Residential Network Better Buildings Residential Network: Connects energy efficiency programs and partners to share best practices to increase the ...

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

    Energy Savers [EERE]

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

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

    Energy Savers [EERE]

    September 11, 2014. Call Slides and Discussion Summary (2.44 MB) More Documents & Publications Better Buildings Residential Network Orientation Better Buildings Residential Network ...

  20. Better Buildings Residential Network Orientation Webinar, Call...

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

    BBNP Grantee Sectors 9 BBNP Accomplishments 10 Better Buildings Residential Network Better Buildings Residential Network: Connects energy efficiency programs and partners to ...

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

    Energy Savers [EERE]

    Orientation Better Buildings Residential Network Orientation Better Buildings Residential Network (BBRN) Orientation Call Slides and Summary, March 27, 2014. Call Slides and ...

  2. Better Buildings Residential Network | Department of Energy

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

    Better Buildings Residential Network Better Buildings Residential Network Explore Peer ... programs can implement and leverage to quickly show energy and utility dollar savings. ...

  3. Better Buildings Network View December 2015

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

    News From the Field New Case Study Highlights Network Member's Community Engagement Better Buildings Residential Network member Community Home Energy Retrofit Project (CHERP) is a ...

  4. Better Buildings Residential Network (BBRN) Orientation Call...

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

    ... 11 Better Buildings Residential Network (BBRN) Better Buildings Residential Network: Connects energy efficiency programs and partners to share best practices to increase the ...

  5. Better Buildings Residential Network Social Media Toolkit

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

    Social Media Toolkit BETTER BUILDINGS RESIDENTIAL NETWORK Learn more at betterbuildings.energy.govbbrn 1 T his Better Buildings Residential Network toolkit can be used to help ...

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

    Office of Scientific and Technical Information (OSTI)

    Technical Report: Structure Learning in Power Distribution Networks Citation Details In-Document Search Title: Structure Learning in Power Distribution Networks Authors: Deka, ...

  7. JPARSS: A Java Parallel Network Package for Grid Computing

    SciTech Connect (OSTI)

    Chen, Jie; Akers, Walter; Chen, Ying; Watson, William

    2002-03-01

    The emergence of high speed wide area networks makes grid computinga reality. However grid applications that need reliable data transfer still have difficulties to achieve optimal TCP performance due to network tuning of TCP window size to improve bandwidth and to reduce latency on a high speed wide area network. This paper presents a Java package called JPARSS (Java Parallel Secure Stream (Socket)) that divides data into partitions that are sent over several parallel Java streams simultaneously and allows Java or Web applications to achieve optimal TCP performance in a grid environment without the necessity of tuning TCP window size. This package enables single sign-on, certificate delegation and secure or plain-text data transfer using several security components based on X.509 certificate and SSL. Several experiments will be presented to show that using Java parallelstreams is more effective than tuning TCP window size. In addition a simple architecture using Web services

  8. 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.

  9. 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.

  10. Solar Forecast Improvement Project

    Office of Energy Efficiency and Renewable Energy (EERE)

    For the Solar Forecast Improvement Project (SFIP), the Earth System Research Laboratory (ESRL) is partnering with the National Center for Atmospheric Research (NCAR) and IBM to develop more...