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1

Aging and functional brain networks  

SciTech Connect

Aging is associated with changes in human brain anatomy and function and cognitive decline. Recent studies suggest the aging decline of major functional connectivity hubs in the 'default-mode' network (DMN). Aging effects on other networks, however, are largely unknown. We hypothesized that aging would be associated with a decline of short- and long-range functional connectivity density (FCD) hubs in the DMN. To test this hypothesis, we evaluated resting-state data sets corresponding to 913 healthy subjects from a public magnetic resonance imaging database using functional connectivity density mapping (FCDM), a voxelwise and data-driven approach, together with parallel computing. Aging was associated with pronounced long-range FCD decreases in DMN and dorsal attention network (DAN) and with increases in somatosensory and subcortical networks. Aging effects in these networks were stronger for long-range than for short-range FCD and were also detected at the level of the main functional hubs. Females had higher short- and long-range FCD in DMN and lower FCD in the somatosensory network than males, but the gender by age interaction effects were not significant for any of the networks or hubs. These findings suggest that long-range connections may be more vulnerable to aging effects than short-range connections and that, in addition to the DMN, the DAN is also sensitive to aging effects, which could underlie the deterioration of attention processes that occurs with aging.

Tomasi D.; Tomasi, D.; Volkow, N.D.

2011-07-11T23:59:59.000Z

2

An improved dosimetric model of the head and brain  

E-Print Network (OSTI)

During the last decade, various brain imaging methods using radionuclides have become available. Due to the introduction of new techniques, a small-scale dosimetry study of the brain, and more specifically the organs of the head (brain, eyes thyroid, skull, skin) was needed. However, the brain and head models developed in the past were crude representations of the human. In this research, a new brain model has been developed which includes eight subregions. This head model was included in a revised head model developed by Posion et al. in 1984. Some corrections and improvements were added to this head model such as the development of a new spinal region and a new cranium region in order to incorporate the cerebrospinal fluid. This model was used with a Monte Carlo code, EGS4, to calculate absorbed fraction of energy and specific absorbed fraction of energy for photon and electron sources located in one of thirteen chosen source regions. These calculations were made for radiations in the energy range 10 keV to 4 MeV. All twenty-three regions included in the revised head and brain model were taken as target regions. S-values were also calculated for several radionuclides used in brain imaging, and also deposited in the thyroid, the skull or the spinal skeleton. The S-values were calculated using discrete energy points on the beta emission spectrum of the radionuclides.

Bouchet, Lionel Gerard

1995-01-01T23:59:59.000Z

3

An improved system and method for networking electrochemical devices  

DOE Patents (OSTI)

An improved electrochemically active system and method including a plurality of electrochemical devices, such as fuel cells and fluid separation devices are disclosed, 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. 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.

Williams, M.C.; Wimer, J.G.; Archer, D.H.

1993-12-31T23:59:59.000Z

4

Converging Redundant Sensor Network Information for Improved Building Control  

Science Conference Proceedings (OSTI)

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.

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

2007-09-30T23:59:59.000Z

5

Converging Redundant Sensor Network Information for Improved Building Control  

Science Conference Proceedings (OSTI)

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.

Dale K. Tiller; Gregor P. Henze

2005-12-01T23:59:59.000Z

6

Improved Network Consistency and Connectivity in Mobile and Sensor Systems.  

E-Print Network (OSTI)

??Edge networks such as sensor, mobile, and disruption tolerant networks suffer from topological uncertainty and disconnections due to myriad of factors including limited battery capacity… (more)

Banerjee, Nilanjan

2009-01-01T23:59:59.000Z

7

Pareto-improving and revenue-neutral congestion pricing schemes in two-mode traffic networks  

Science Conference Proceedings (OSTI)

This paper studies a Pareto-improving and revenue-neutral congestion pricing scheme on a simple two-mode (highway and transit) network: this scheme aims at simultaneously improving system performance, making every individual user better off, and having ... Keywords: Congestion pricing, Pareto-improving, Revenue-neutral, Traffic equilibrium, Two-mode network

Yang Liu; Xiaolei Guo; Hai Yang

2009-04-01T23:59:59.000Z

8

Improved Cognitive Function After Transcranial, Light-Emitting Diode Treatments in Chronic, Traumatic Brain Injury: Two Case Reports  

E-Print Network (OSTI)

Objective: Two chronic, traumatic brain injury (TBI) cases, where cognition improved following treatment with red and near-infrared light-emitting diodes (LEDs), applied transcranially to forehead and scalp areas, are ...

Naeser, Margaret A.

9

Improving broadcast efficiency in wireless sensor network time synchronization protocols  

Science Conference Proceedings (OSTI)

In this work we proposed an algorithm to allow nodes in a wireless sensor network to interconnect in a way such that time stamp information can be efficiently distributed for network wide synchronization. The algorithm works by first establishing a level ... Keywords: broadcast optimization, sensor networks, time synchronization

Wenxun Huang; Yujuan Quan; Deming Chen

2012-06-01T23:59:59.000Z

10

Neural network predictive control of UPFC for improving transient stability performance of power system  

Science Conference Proceedings (OSTI)

This paper presents a neural network predictive controller for the UPFC to improve the transient stability performance of the power system. A neural network model for the power system is trained using the backpropagation learning method employing the ... Keywords: Identification, Neural networks, Power system transient stability, Predictive control, Unified power flow controller (UPFC)

Sheela Tiwari; Ram Naresh; R. Jha

2011-12-01T23:59:59.000Z

11

Reduced Metabolsim in Brain 'Control Networks' Following Cocaine-Cues Exposure in Female Cocaine Abusers  

Science Conference Proceedings (OSTI)

Gender differences in vulnerability for cocaine addiction have been reported. Though the mechanisms are not understood, here we hypothesize that gender differences in reactivity to conditioned-cues, which contributes to relapse, are involved. To test this we compared brain metabolism (using PET and {sup 18}FDG) between female (n = 10) and male (n = 16) active cocaine abusers when they watched a neutral video (nature scenes) versus a cocaine-cues video. Self-reports of craving increased with the cocaine-cue video but responses did not differ between genders. In contrast, changes in whole brain metabolism with cocaine-cues differed by gender (p<0.05); females significantly decreased metabolism (-8.6% {+-} 10) whereas males tended to increase it (+5.5% {+-} 18). SPM analysis (Cocaine-cues vs Neutral) in females revealed decreases in frontal, cingulate and parietal cortices, thalamus and midbrain (p<0.001) whereas males showed increases in right inferior frontal gyrus (BA 44/45) (only at p<0.005). The gender-cue interaction showed greater decrements with Cocaine-cues in females than males (p<0.001) in frontal (BA 8, 9, 10), anterior cingulate (BA 24, 32), posterior cingulate (BA 23, 31), inferior parietal (BA 40) and thalamus (dorsomedial nucleus). Females showed greater brain reactivity to cocaine-cues than males but no differences in craving, suggesting that there may be gender differences in response to cues that are not linked with craving but could affect subsequent drug use. Specifically deactivation of brain regions from 'control networks' (prefrontal, cingulate, inferior parietal, thalamus) in females could increase their vulnerability to relapse since it would interfere with executive function (cognitive inhibition). This highlights the importance of gender tailored interventions for cocaine addiction.

Volkow, N.D.; Wang, G.; Volkow, N.D.; Tomasi, D.; Wang, G.-J.; Fowler, J.S.; Telang, F.; Goldstein, R.Z.; Alia-Klein, N.; Wong, C.T.

2011-03-01T23:59:59.000Z

12

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

1 Steps to Improve Cyber Security of SCADA Networks 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 cyber space today. By allowing the collection and analysis of data and control of equipment such as pumps and valves from remote locations, SCADA networks provide great efficiency and are widely used. However, they also present a security risk. 21 Steps to Improve Cyber Security of SCADA Networks

13

Improving bayesian network structure search with random variable aggregation hierarchies  

Science Conference Proceedings (OSTI)

Bayesian network structure identification is known to be NP-Hard in the general case. We demonstrate a heuristic search for structure identification based on aggregationhierarchies. The basic idea is to perform initial exhaustive searches ... Keywords: bayesian network structure search hierarchy fMRI

John Burge; Terran Lane

2006-09-01T23:59:59.000Z

14

A New Improved Na-K Geothermometer By Artificial Neural Networks | Open  

Open Energy Info (EERE)

Improved Na-K Geothermometer By Artificial Neural Networks Improved Na-K Geothermometer By Artificial Neural Networks Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: A New Improved Na-K Geothermometer By Artificial Neural Networks Details Activities (0) Areas (0) Regions (0) Abstract: A new Na/K geothermometer equation has been developed. The temperature function is:Concentrations are in mg/kg. The new improved geothermometer equation was developed by artificial neural networks. The normalized mean square error (NMSE) used in the new improved Na/K equation for temperatures ranging from 94 to 345°C is 0.179, which is lower than the corresponding NMSE 0.226, 0.598, 0.656, 0.268, 0.328 and 0.225 for the equations of Arnorsson et al. (1983; Geochim. Cosmochim. Acta 47, 567-577), Truesdell (1975; Proc. 2nd UN Symposium), Tonani (1980; Proc. Adv. Eur.

15

A New BP Network Based on Improved PSO Algorithm and Its Application on Fault Diagnosis of Gas Turbine  

Science Conference Proceedings (OSTI)

Aiming at improving the convergence performance of conventional BP neural network, this paper presents an improved PSO algorithm instead of gradient descent method to optimize the weights and thresholds of BP network. The strategy of the algorithm is ...

Wei Hu; Jingtao Hu

2007-06-01T23:59:59.000Z

16

Novel hybrid approach to data-packet-flow prediction for improving network traffic analysis  

Science Conference Proceedings (OSTI)

Forecast of the flow of data packets between client and server for a network traffic analysis is viewed as a part of web analytics. Thousands of web-smart businesses depend on web analytics to improve website conversions, reduce marketing costs, facilitate ... Keywords: Adaptive neuro-fuzzy inference system, Flow of data packets, Network traffic analysis, Nonlinear generalized autoregressive conditional heteroscedasticity, Quantum minimization

Bao Rong Chang; Hsiu Fen Tsai

2009-06-01T23:59:59.000Z

17

A neural network control strategy for improved energy capture on a variable-speed wind turbine  

Science Conference Proceedings (OSTI)

Pitch control has so far been the dominating method for power control in modern variable speed wind turbines. This paper proposes an improved control technique for pitching the blades of a variable speed wind turbine, using Artificial Neural Networks ... Keywords: artificial neural networks, control trajectories, pitch control, variable-speed wind turbines

António F. Silva; Fernando A. Castro; José N. Fidalgo

2005-06-01T23:59:59.000Z

18

BLACK-BOX MODELLING OF HVAC SYSTEM: IMPROVING THE PERFORMANCES OF NEURAL NETWORKS  

E-Print Network (OSTI)

BLACK-BOX MODELLING OF HVAC SYSTEM: IMPROVING THE PERFORMANCES OF NEURAL NETWORKS Eric FOCK Ile de La Réunion - FRANCE ABSTRACT This paper deals with neural networks modelling of HVAC systems of HVAC system can be modelled using manufacturer design data presented as derived performance maps

Paris-Sud XI, Université de

19

A hybrid simulation-adaptive network based fuzzy inference system for improvement of electricity consumption estimation  

Science Conference Proceedings (OSTI)

This paper presents a hybrid adaptive network based fuzzy inference system (ANFIS), computer simulation and time series algorithm to estimate and predict electricity consumption estimation. The difficulty with electricity consumption estimation modeling ... Keywords: Adaptive network based fuzzy inference system, Computer simulation, Electricity consumption, Hybrid, Improvement, Time series

A. Azadeh; M. Saberi; A. Gitiforouz; Z. Saberi

2009-10-01T23:59:59.000Z

20

Reducing signaling traffic in wireless ATM networks through handoff scheme improvement  

Science Conference Proceedings (OSTI)

We propose a new handoff call management scheme which reduces signaling traffic in wireless ATM networks and improves the efficiency of the virtual channel. Chaining followed by a make-break algorithm is a suitable handoff scheme for various situations. ...

Anna Ha?; Yongcan Zhang

2002-08-01T23:59:59.000Z

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


21

Optimal Transmission Switching in Electric Networks for Improved Economic Operations1  

E-Print Network (OSTI)

1 Optimal Transmission Switching in Electric Networks for Improved Economic Operations1 Emily. Abstract Growing demand for electric power seems to necessitate new transmission lines, but obstacles" bulk electric grid, one that is more controllable and flexible. Optimal transmission switching

Ferris, Michael C.

22

Crude Oil Price Forecasting with an Improved Model Based on Wavelet Transform and RBF Neural Network  

Science Conference Proceedings (OSTI)

The fluctuation of oil price decides the security of energy and economics. So the crude oil price forecasting performs importantly. In the paper, we apply the improved model based on Wavelet Transform and Radial Basis Function (RBF) neural network to ...

Wu Qunli; Hao Ge; Cheng Xiaodong

2009-05-01T23:59:59.000Z

23

On the Improvement From Scheduling a Two-Station Queueing Network in Heavy Traffic  

E-Print Network (OSTI)

For a two-station multiclass queueing network in heavy traffic, we assess the improvement from scheduling (job release and priority sequencing) that can occur relative to Poisson input and first-come first-served (FCFS) ...

Ou, Jihong

24

CONVERGING REDUNDANT SENSOR NETWORK INFORMATION FOR IMPROVED BUILDING CONTROL  

SciTech Connect

Knowing how many people occupy a building, and where they are located, is a key component of building energy management and security. Commercial, industrial and residential buildings often incorporate systems used to determine occupancy, however, current sensor technology and control algorithms limit the effectiveness of both energy management and security systems. This topical report describes results from the first phase of a project to design, implement, validate, and prototype new technologies to monitor occupancy, control indoor environment services, and promote security in buildings. Phase I of the project focused on instrumentation and data collection. In this 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. Analysis tools based on Bayesian probability theory were applied to the occupancy data generated by the sensor network. The inference of primary importance is a probability distribution over the number of occupants and their locations in a building, given past and present sensor measurements. Inferences were computed for occupancy and its temporal persistence in individual offices as well as the persistence of sensor status. The raw sensor data were also used to calibrate the sensor belief network, including the occupancy transition matrix used in the Markov model, sensor sensitivity, and sensor failure models. This study shows that the belief network framework can be applied to the analysis of data streams from sensor networks, offering significant benefits to building operation compared to current practice.

Dale K. Tiller; Gregor P. Henze

2004-11-01T23:59:59.000Z

25

Improvement on Pretty-Simple Password Authenticated Key-Exchange Protocol for Wireless Networks  

Science Conference Proceedings (OSTI)

This paper presents an improved method inspired by the recently proposed Pretty-Simple PAKE (Password Authenticated Key-Exchange) protocol, which is already a well-known, robust and simple password authenticated key exchange scheme. In our even more ... Keywords: elliptic curve discrete logarithm, key exchange, password authentication, wireless network

Ting-Yi Chang; Chou-Chen Yang; Chia-Meng Chen

2004-04-01T23:59:59.000Z

26

Parameter assignment for improved connectivity and security in randomly deployed wireless sensor networks via hybrid omni/uni-directional antennas  

E-Print Network (OSTI)

Conguring a network system to operate at optimal levels of performance re-quires a comprehensive understanding of the eects of a variety of system parameterson crucial metrics like connectivity and resilience to network attacks. Traditionally,omni-directional antennas have been used for communication in wireless sensor net-works. In this thesis, a hybrid communication model is presented where-in, nodes ina network are capable of both omni-directional and uni-directional communication.The eect of such a model on performance in randomly deployed wireless sensor net-works is studied, specically looking at the eect of a variety of network parameterson network performance.The work in this thesis demonstrates that, when the hybrid communication modelis employed, the probability of 100% connectivity improves by almost 90% and thatof k-connectivity improves by almost 80% even at low node densities when comparedto the traditional omni-directional model. In terms of network security, it was foundthat the hybrid approach improves network resilience to the collision attack by almost85% and the cost of launching a successful network partition attack was increased byas high as 600%. The gains in connectivity and resilience were found to improve withincreasing node densities and decreasing antenna beamwidths.

Shankar, Sonu

2008-08-01T23:59:59.000Z

27

A policy letter. DG-GRID Improving distribution network regulation for enhancing the share of sustainable distributed generation in Europe  

E-Print Network (OSTI)

A policy letter. DG-GRID Improving distribution network regulation for enhancing the share-generation of electricity and heat (CHP). This drives the growth of distributed generation (DG) ­ generators connected to the distribution network ­ to significant levels. The DG-GRID project1 carried out by nine European universities

28

Early Brain Response to Low-Dose Radiation Exposure Involves Molecular Networks and Pathways Associated with Cognitive Functions, Advanced Aging and Alzheimer's Disease  

SciTech Connect

Understanding the cognitive and behavioral consequences of brain exposures to low-dose ionizing radiation has broad relevance for health risks from medical radiation diagnostic procedures, radiotherapy, environmental nuclear contamination, as well as earth orbit and space missions. Analyses of transcriptome profiles of murine brain tissue after whole-body radiation showed that low-dose exposures (10 cGy) induced genes not affected by high dose (2 Gy), and low-dose genes were associated with unique pathways and functions. The low-dose response had two major components: pathways that are consistently seen across tissues, and pathways that were brain tissue specific. Low-dose genes clustered into a saturated network (p < 10{sup -53}) containing mostly down-regulated genes involving ion channels, long-term potentiation and depression, vascular damage, etc. We identified 9 neural signaling pathways that showed a high degree of concordance in their transcriptional response in mouse brain tissue after low-dose radiation, in the aging human brain (unirradiated), and in brain tissue from patients with Alzheimer's disease. Mice exposed to high-dose radiation did not show these effects and associations. Our findings indicate that the molecular response of the mouse brain within a few hours after low-dose irradiation involves the down-regulation of neural pathways associated with cognitive dysfunctions that are also down regulated in normal human aging and Alzheimer's disease.

Lowe, Xiu R; Bhattacharya, Sanchita; Marchetti, Francesco; Wyrobek, Andrew J.

2008-06-06T23:59:59.000Z

29

Early Brain Response to Low-Dose Radiation Exposure Involves Molecular Networks and Pathways Associated with Cognitive Functions, Advanced Aging and Alzheimer's Disease  

SciTech Connect

Understanding the cognitive and behavioral consequences of brain exposures to low-dose ionizing radiation has broad relevance for health risks from medical radiation diagnostic procedures, radiotherapy, environmental nuclear contamination, as well as earth orbit and space missions. Analyses of transcriptome profiles of murine brain tissue after whole-body radiation showed that low-dose exposures (10 cGy) induced genes not affected by high dose (2 Gy), and low-dose genes were associated with unique pathways and functions. The low-dose response had two major components: pathways that are consistently seen across tissues, and pathways that were brain tissue specific. Low-dose genes clustered into a saturated network (p < 10{sup -53}) containing mostly down-regulated genes involving ion channels, long-term potentiation and depression, vascular damage, etc. We identified 9 neural signaling pathways that showed a high degree of concordance in their transcriptional response in mouse brain tissue after low-dose radiation, in the aging human brain (unirradiated), and in brain tissue from patients with Alzheimer's disease. Mice exposed to high-dose radiation did not show these effects and associations. Our findings indicate that the molecular response of the mouse brain within a few hours after low-dose irradiation involves the down-regulation of neural pathways associated with cognitive dysfunctions that are also down regulated in normal human aging and Alzheimer's disease.

Lowe, Xiu R; Bhattacharya, Sanchita; Marchetti, Francesco; Wyrobek, Andrew J.

2008-06-06T23:59:59.000Z

30

Network  

NLE Websites -- All DOE Office Websites (Extended Search)

network - launched in November 2012. The network was built in collaboration with Internet2, an advanced network, which connects the nation's research universities. Leveraging...

31

STANDARD BIG BANG NUCLEOSYNTHESIS UP TO CNO WITH AN IMPROVED EXTENDED NUCLEAR NETWORK  

SciTech Connect

Primordial or big bang nucleosynthesis (BBN) is one of the three strong pieces of evidence for the big bang model together with the expansion of the universe and cosmic microwave background radiation. In this study, we improve the standard BBN calculations taking into account new nuclear physics analyses and enlarge the nuclear network up to sodium. This is, in particular, important to evaluate the primitive value of CNO mass fraction that could affect Population III stellar evolution. For the first time we list the complete network of more than 400 reactions with references to the origin of the rates, including Almost-Equal-To 270 reaction rates calculated using the TALYS code. Together with the cosmological light elements, we calculate the primordial beryllium, boron, carbon, nitrogen, and oxygen nuclei. We performed a sensitivity study to identify the important reactions for CNO, {sup 9}Be, and boron nucleosynthesis. We re-evaluated those important reaction rates using experimental data and/or theoretical evaluations. The results are compared with precedent calculations: a primordial beryllium abundance increase by a factor of four compared to its previous evaluation, but we note a stability for B/H and for the CNO/H abundance ratio that remains close to its previous value of 0.7 Multiplication-Sign 10{sup -15}. On the other hand, the extension of the nuclear network has not changed the {sup 7}Li value, so its abundance is still 3-4 times greater than its observed spectroscopic value.

Coc, Alain [Centre de Spectrometrie Nucleaire et de Spectrometrie de Masse (CSNSM), CNRS/IN2P3, Universite Paris Sud, UMR 8609, Batiment 104, F-91405 Orsay Campus (France); Goriely, Stephane; Xu, Yi [Institut d'Astronomie et d'Astrophysique, Universite Libre de Bruxelles, CP 226, Boulevard du Triomphe, B-1050 Bruxelles (Belgium); Saimpert, Matthias; Vangioni, Elisabeth [Institut d'Astrophysique de Paris, UMR 7095 CNRS, Universite Pierre et Marie Curie, 98 bis Boulevard Arago, Paris 75014 (France)

2012-01-10T23:59:59.000Z

32

Analyzing the techniques that improve fault tolerance of aggregation trees in sensor networks  

Science Conference Proceedings (OSTI)

Sensor networks are finding significant applications in large scale distributed systems. One of the basic operations in sensor networks is in-network aggregation. Among the various approaches to in-network aggregation, such as gossip and tree, including ... Keywords: Aggregation, Fault tolerance, Modeling faults, Reliability, Sensor network

Laukik Chitnis; Alin Dobra; Sanjay Ranka

2009-12-01T23:59:59.000Z

33

Incorporating knowledge of topology improves reconstruction of interaction networks from microarray data  

Science Conference Proceedings (OSTI)

Reconstruction of biological interaction networks from high-throughput experimental data is one of the most challenging problems in bioinformatics.These networks have specific topologies, whose characteristics aredefined by evolutionary relationships ... Keywords: co-expression network, gene expression, gene ontology, network topology, rank-based algorithm

Peter Larsen; Eyad Almasri; Guanrao Chen; Yang Dai

2008-05-01T23:59:59.000Z

34

An enhanced clustering algorithm for mobile ad hoc networks to improve the throughput  

Science Conference Proceedings (OSTI)

Mobile ad hoc networks (MANETs) consist of a number of wireless hosts that forms network without a fixed infrastructure. Clustering plays a vital role for MANETs in managing the resources. Clustering involves two processes such as cluster head ...

S. Muthuramalingam; R. Rajaram

2011-09-01T23:59:59.000Z

35

Critical infrastructure protection: Resource efficient sampling to improve detection of less frequent patterns in network traffic  

Science Conference Proceedings (OSTI)

Networked critical infrastructures are of national importance. However, such infrastructures are running 24/7. The supervisory control and data acquisition system (SCADA) of the critical infrastructure will generate enormous network traffic continuously. ... Keywords: Critical infrastructure, Sampling, Traffic analysis

Abdun Naser Mahmood; Jiankun Hu; Zahir Tari; Christopher Leckie

2010-07-01T23:59:59.000Z

36

Clustering strategies for improving the lifetime of two-tiered sensor networks  

Science Conference Proceedings (OSTI)

In hierarchical sensor networks, sensor nodes are arranged in clusters, and higher-powered relay nodes can be used as cluster heads. Due to the limited transmission range and battery power of the nodes, it is important to develop techniques that minimize ... Keywords: Clustering, Energy-efficient, Relay nodes, Sensor networks, Two-tiered sensor networks

Ataul Bari; Arunita Jaekel; Subir Bandyopadhyay

2008-09-01T23:59:59.000Z

37

On improving temporal and spatial mobility metrics for wireless ad hoc networks  

Science Conference Proceedings (OSTI)

This work shows that two well-known spatial and temporal mobility metrics for wireless multi-hop networks have limitations, possibly resulting in misleading results. Based on the concept of spatial dependence among nodes including transient periods of ... Keywords: Mobile ad hoc network, Mobility metric, Mobility model, Network simulation, Spatial dependence, Temporal dependence

Elmano Ramalho Cavalcanti; Marco Aurélio Spohn

2012-04-01T23:59:59.000Z

38

Improving evaluation criteria for monitoring networks of weak radioactive plumes after nuclear emergencies  

Science Conference Proceedings (OSTI)

Networks of monitoring stations have been set up in many European countries to detect the passage of a radioactive cloud in the event of a large-scale nuclear emergency. The layout and spatial density of these networks differs according to the needs ... Keywords: Anthropogenic environmental radioactivity, Emergency preparedness, Monitoring networks, Spatial data analysis

L. Urso; P. Astrup; K. B. Helle; W. Raskob; C. Rojas-Palma; J. C. Kaiser

2012-12-01T23:59:59.000Z

39

BGNN Neural Network Based on Improved E.Coli Foraging Optimization Algorithm Used in the Nonlinear Modeling of Hydraulic Turbine  

Science Conference Proceedings (OSTI)

A novel Bayesian-Gaussian neural network (BGNN) is proposed in this paper for the nonlinear modeling of hydraulic turbine which is difficult to obtain its mathematical model because of its complex and nonlinear characteristics. The topology and connection ... Keywords: BGNN, Hydraulic turbine, Improved E.Coli foraging optimization algorithm, Nonlinear modeling

Yijian Liu; Yanjun Fang

2009-05-01T23:59:59.000Z

40

Abstract--Improvements in transmission and distribution networks can be noticed in most countries that had their system  

E-Print Network (OSTI)

, the National Electricity Regulatory Agency has established that the monthly amount of transmission system usage1 Abstract--Improvements in transmission and distribution networks can be noticed in most one of the biggest challenges is the transmission and distribution open access. In Brazil

Morton, David

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


41

Improved Connectivity using Hybrid Uni/Omni-Directional Antennas in Sensor Networks  

E-Print Network (OSTI)

Connectivity in sensor networks is an important metric that describes the capability of networks to be able to report sensed information. The ability of member nodes to communicate with each other and collectively report data largely depends on connectivity. Density of node deployment, the transmission radius of the antenna and the communication paradigm employed has a significant effect on connectivity. A network deployment is said to be connected when every node within the network is capable of communicating, either via multi-hops or direct links to every other node in the network. This is a very strict connectivity requirement called 100% connectivity. This work deals with analyzing connectivity in various randomly deployed sensor network deployments and comparing metrics between omni and hybrid uni/omni-directional sensor networks. Specific results will be presented with varying node deployment densities and transmission radii and the levels of connectivity they guarantee. These results have significant impact on secure routing protocol design for wireless sensor networks and planning network deployments. I also present results on k-connectivity, which is a metric that represents network availability, along with the dependence on transmission radii, node densities and uni-directional antenna beam width.

Kwon, Ji Heon

2008-05-27T23:59:59.000Z

42

SmartGossip: an improved randomized broadcast protocol for sensor networks  

Science Conference Proceedings (OSTI)

We investigate four performance metrics for randomized broadcast protocols on sensor networks: the fraction of nodes that receive the message (coverage), the number of first-time receivers per transmission (energy efficiency), the node-average normalized ... Keywords: SmartGossip, performance analysis, randomized protocols, sensor networks

Ananth V. Kini; Vilas Veeraraghavan; Nikhil Singhal; Steven Weber

2006-04-01T23:59:59.000Z

43

An Improved Protocol for Deadlock and Livelock Avoidance Resource Co-allocation in Network Computing  

Science Conference Proceedings (OSTI)

A multitude of applications require simultaneous access to multiple kinds of resources scatted in distributed sites. This problem is known as resource co-allocation which has evolved as a hot topic in network computing. How to design a kind of high-performance ... Keywords: deadlock, livelock, network computing, resource co-allocation

Jie Cao; Zhiang Wu

2010-09-01T23:59:59.000Z

44

Coverage preserved optimal routing protocol for improving the quality of service in wireless sensor networks  

Science Conference Proceedings (OSTI)

In wireless sensor network, there are many hurdles takes place in providing quality of service routing to a desired level. The majority of routing protocols in wireless sensor networks concentrates only on energy efficiency as a prime factor, and only ... Keywords: cluster-head, coverage, energy efficiency, lifetime, multi-path routing, quality of service, self-scheduling

B. Paramasivan; K. Mohaideen Pitchai; D. Usha; S. Radha Krishnan

2009-11-01T23:59:59.000Z

45

Improvement security for RuBee radio-WiMAX mesh networks  

Science Conference Proceedings (OSTI)

Next generation communication standard integrate various access networks technology to become mesh networks. One of air interface standard is metropolitan area wireless broadband service. IEEE 802.16 is the basis for Worldwide Interoperability for Microwave ... Keywords: AAA, RuBee (IEEE 1902.1), WiMAX, gateway access point, group identity key

Tin-Yu Wu; Jhong-Ci Wu; Wei-Fang Weng

2008-09-01T23:59:59.000Z

46

Wind Prediction Based on Improved BP Artificial Neural Network in Wind Farm  

Science Conference Proceedings (OSTI)

Wind power prediction is important to the operation of power system with comparatively large mount of wind power. It can relieve or avoid the disadvantageous impact of wind farm on power systems. Because the traditional neural network may fall into local ... Keywords: wind farm, wind power generation, wind speed prediction, BP neural networks

Keyuan Huang; Lang Dai; Shoudao Huang

2010-06-01T23:59:59.000Z

47

Improved robust stability criteria for delayed cellular neural networks via the LMI approach  

Science Conference Proceedings (OSTI)

Uniqueness and robust exponential stability are analyzed for a class of uncertain cellular neural networks with time-varying delays. By dividing the variation interval of the time delay into two subintervals with equal length, a novel Lyapunov-Krasovskii ... Keywords: free-weighting matrix method, global robust exponential stability, linear matrix inequality (LMI), uncertain cellular neural networks

Cheng-De Zheng; Huaguang Zhang; Zhanshan Wang

2010-01-01T23:59:59.000Z

48

On improving the representation of a region achieved by a sensor network  

Science Conference Proceedings (OSTI)

This paper considers the class of applications of sensor networks in which each sensor node makes measurements, such as temperature or humidity, at the precise location of the node. Such spot-sensing applications approximate the physical condition of ... Keywords: Coverage, Lifetime, Representation error, Sensor networks, Spatial uniformity

Xiaoyu Chu; Harish Sethu

2012-05-01T23:59:59.000Z

49

Congestion on the Internet : operator responses, economic analysis, and improving the network architecture  

E-Print Network (OSTI)

Our thesis presents the results of monitoring traffic management techniques of network providers. We find that in addition to complete blocking of traffic flows on some transport layer ports, providers are also actively ...

Bauer, Steven J. (Steven Joseph), 1976-

2008-01-01T23:59:59.000Z

50

787 mid-body job precedence networks for improving production rate  

E-Print Network (OSTI)

In a complex manufacturing environment, generating schedules, identifying deviations, and recovering from delays have a significant impact on total operational performance. At Boeing's 787 plant, a precedence network was ...

Chen, Jason L., 1979-

2012-01-01T23:59:59.000Z

51

Automation: A Step toward Improving the Quality of Daily Temperature Data Produced by Climate Observing Networks  

Science Conference Proceedings (OSTI)

The research documented in this manuscript demonstrates that undeniable differences exist between values of daily temperature recorded by the National Weather Service Cooperative Observer Program network and data recorded by the Oklahoma Mesonet. ...

Christopher A. Fiebrich; Kenneth C. Crawford

2009-07-01T23:59:59.000Z

52

Improving security applications using indoor location systems on wireless sensor networks  

Science Conference Proceedings (OSTI)

One of the fields in which companies are investing more money is security, either personal security to avoid industrial accidents or security against intrusions. There is also the huge effort that the scientific community is doing developing all required ... Keywords: IEEE 802.15.4, ILS, indoor location systems, security applications, wireless sensor networks

Josep Paradells; Jordi Vilaseca; Jordi Casademont

2009-01-01T23:59:59.000Z

53

Improved multicriteria spanners for Ad-Hoc networks under energy and distance metrics  

Science Conference Proceedings (OSTI)

We study the problem of spanner construction in wireless ad-hoc networks through power assignments under two spanner models—distance and energy. In particular, we are interested in asymmetric power assignments so that the induced communication ... Keywords: Geometric and energy spanners, approximation algorithms

Hanan Shpungin, Michael Segal

2013-07-01T23:59:59.000Z

54

Automatic Weather Stations and Artificial Neural Networks: Improving the Instrumental Record in West Antarctica  

Science Conference Proceedings (OSTI)

Automatic weather stations (AWSs) currently provide the only year-round, continuous direct measurements of near-surface weather on the West Antarctic ice sheet away from the coastal manned stations. Improved interpretation of the ever-growing ...

David B. Reusch; Richard B. Alley

2002-12-01T23:59:59.000Z

55

Improved  

NLE Websites -- All DOE Office Websites (Extended Search)

Improved Improved cache performance in Monte Carlo transport calculations using energy banding A. Siegel a , K. Smith b , K. Felker c,∗ , P . Romano b , B. Forget b , P . Beckman c a Argonne National Laboratory, Theory and Computing Sciences and Nuclear Engineering Division b Massachusetts Institute of Technology, Department of Nuclear Science and Engineering c Argonne National Laboratory, Theory and Computing Sciences Abstract We present an energy banding algorithm for Monte Carlo (MC) neutral parti- cle transport simulations which depend on large cross section lookup tables. In MC codes, read-only cross section data tables are accessed frequently, ex- hibit poor locality, and are typically much too large to fit in fast memory. Thus, performance is often limited by long latencies to RAM, or by off-node communication latencies when the data footprint is very large and must be decomposed on

56

Improving accuracy for range-based localization in multiple target wireless sensor networks  

Science Conference Proceedings (OSTI)

We introduce a system for multiple target range-based localization systems, such as those based on time-of-arrival (TOA) and received signal strength indicator (RSSI) for distance measurement estimations. In order to improve the accuracy of the location ...

Oscar Rodríguez; Tomoaki Ohtsuki

2011-01-01T23:59:59.000Z

57

Does brain activity stem from high-dimensional chaotic dynamics? Evidence from the human electroencephalogram, cat cerebral cortex and artificial neuronal networks  

E-Print Network (OSTI)

Nonlinear time series analyses have suggested that the human electroencephalogram (EEG) may share statistical and dynamical properties with chaotic systems. During slow-wave sleep or pathological states like epilepsy, correlation dimension measurements display low values, while in awake and attentive subjects, there is not such low dimensionality, and the EEG is more similar to a stochastic variable. We briefly review these results and contrast them with recordings in cat cerebral cortex, as well as with theoretical models. In awake or sleeping cats, recordings with microelectrodes inserted in cortex show that global variables such as local field potentials (local EEG) are similar to the human EEG. However, in both cases, neuronal discharges are highly irregular and exponentially distributed, similar to Poisson stochastic processes. To attempt reconcile these results, we investigate models of randomly-connected networks of integrate-and-fire neurons, and also contrast global (averaged) variables, with neuronal activity. The network displays different states, such as "synchronous regular" (SR) or "asynchronous irregular" (AI) states. In SR states, the global variables display coherent behavior with low dimensionality, while in AI states, the global activity is high-dimensionally chaotic with exponentially distributed neuronal discharges, similar to awake cats. Scale-dependent Lyapunov exponents and epsilon-entropies show that the seemingly stochastic nature at small scales (neurons) can coexist with more coherent behavior at larger scales (averages). Thus, we suggest that brain activity obeys similar scheme, with seemingly stochastic dynamics at small scales (neurons), while large scales (EEG) display more coherent behavior or high-dimensional chaos.

Sami El Boustani; Alain Destexhe

2009-04-27T23:59:59.000Z

58

2013 Special Issue: Modulation for emergent networks: Serotonin and dopamine  

Science Conference Proceedings (OSTI)

In autonomous learning, value-sensitive experiences can improve the efficiency of learning. A learning network needs be motivated so that the limited computational resources and the limited lifetime are devoted to events that are of high value for the ... Keywords: Brain architecture, Dopamine, Glutamate, Modulation, Reinforcement learning, Serotonin

Juyang Weng; Stephen Paslaski; James Daly; Courtland Vandam; Jacob Brown

2013-05-01T23:59:59.000Z

59

Applications of an Improved Wavelet Network in the Low Pressure Cylinder of Turbine Steam Exhaust Enthalpies Calculation  

Science Conference Proceedings (OSTI)

this paper applies the principle of the immune system adjustment to optimize the structure parameters of wavelet network, so as to establish a new type of wavelet neural network model which will be applied to turbine exhaust steam enthalpies. The calculation ... Keywords: steam turbine, wavelet network Vector distance Eexhaust, steam enthalpy

Zhang Liping; Sun Quanhong; Xu Qi

2011-01-01T23:59:59.000Z

60

An adaptive network based fuzzy inference system-genetic algorithm clustering ensemble algorithm for performance assessment and improvement of conventional power plants  

Science Conference Proceedings (OSTI)

Performance measurement and assessment are fundamental to management planning and control activities of complex systems such as conventional power plants. They have received considerable attention by both management practitioners and theorists. There ... Keywords: Adaptive network based fuzzy inference system (ANFIS), Conventional power plants, Genetic algorithm clustering ensemble (GACE), Improvement, Performance assessment

A. Azadeh; M. Saberi; M. Anvari; A. Azaron; M. Mohammadi

2011-03-01T23:59:59.000Z

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


61

Study on wave impact force prediction of different shore connecting structure based on improved BP neural network  

Science Conference Proceedings (OSTI)

In this paper, the advanced Neural Network technology was introduced to the field of the wave impact force prediction. A three-layered BP neural network is employed and the units of input layer are wave style, wave period, incident wave height, relative ... Keywords: BP, prediction, shore connecting structure, wave impact force

Xiaoguo Zhou; Shuguang Luan

2009-09-01T23:59:59.000Z

62

Improvement of Auto-Regressive Integrated Moving Average models using Fuzzy logic and Artificial Neural Networks (ANNs)  

Science Conference Proceedings (OSTI)

Time series forecasting is an active research area that has drawn considerable attention for applications in a variety of areas. Auto-Regressive Integrated Moving Average (ARIMA) models are one of the most important time series models used in financial ... Keywords: Artificial Neural Networks (ANNs), Auto-Regressive Integrated Moving Average (ARIMA), Exchange rate, Financial markets, Fuzzy logic, Time series forecasting

Mehdi Khashei; Mehdi Bijari; Gholam Ali Raissi Ardali

2009-01-01T23:59:59.000Z

63

Neural Networks  

SciTech Connect

Physicists use large detectors to measure particles created in high-energy collisions at particle accelerators. These detectors typically produce signals indicating either where ionization occurs along the path of the particle, or where energy is deposited by the particle. The data produced by these signals is fed into pattern recognition programs to try to identify what particles were produced, and to measure the energy and direction of these particles. Ideally, there are many techniques used in this pattern recognition software. One technique, neural networks, is particularly suitable for identifying what type of particle caused by a set of energy deposits. Neural networks can derive meaning from complicated or imprecise data, extract patterns, and detect trends that are too complex to be noticed by either humans or other computer related processes. To assist in the advancement of this technology, Physicists use a tool kit to experiment with several neural network techniques. The goal of this research is interface a neural network tool kit into Java Analysis Studio (JAS3), an application that allows data to be analyzed from any experiment. As the final result, a physicist will have the ability to train, test, and implement a neural network with the desired output while using JAS3 to analyze the results or output. Before an implementation of a neural network can take place, a firm understanding of what a neural network is and how it works is beneficial. A neural network is an artificial representation of the human brain that tries to simulate the learning process [5]. It is also important to think of the word artificial in that definition as computer programs that use calculations during the learning process. In short, a neural network learns by representative examples. Perhaps the easiest way to describe the way neural networks learn is to explain how the human brain functions. The human brain contains billions of neural cells that are responsible for processing information [2]. Each one of these cells acts as a simple processor. When individual cells interact with one another, the complex abilities of the brain are made possible. In neural networks, the input or data are processed by a propagation function that adds up the values of all the incoming data. The ending value is then compared with a threshold or specific value. The resulting value must exceed the activation function value in order to become output. The activation function is a mathematical function that a neuron uses to produce an output referring to its input value. [8] Figure 1 depicts this process. Neural networks usually have three components an input, a hidden, and an output. These layers create the end result of the neural network. A real world example is a child associating the word dog with a picture. The child says dog and simultaneously looks a picture of a dog. The input is the spoken word ''dog'', the hidden is the brain processing, and the output will be the category of the word dog based on the picture. This illustration describes how a neural network functions.

Smith, Patrick I.

2003-09-23T23:59:59.000Z

64

NeuCube evospike architecture for spatio-temporal modelling and pattern recognition of brain signals  

Science Conference Proceedings (OSTI)

The brain functions as a spatio-temporal information processing machine and deals extremely well with spatio-temporal data. Spatio- and spectro-temporal data (SSTD) are the most common data collected to measure brain signals and brain activities, along ... Keywords: EEG, computational neuro-genetic modelling, evolving neurogenetic brain cube, fMRI, gene regulatory networks, pattern recognition, personalized modeling, probabilistic modeling, spatio/spectro-temporal brain data, spiking neural networks

Nikola Kasabov

2012-09-01T23:59:59.000Z

65

Brain usage  

NLE Websites -- All DOE Office Websites (Extended Search)

usage Name: A W Chen Status: NA Age: NA Location: NA Country: NA Date: NA Question: For my science fair project I would like to know if every part of the brain is used all the...

66

Brain Usage  

NLE Websites -- All DOE Office Websites (Extended Search)

Usage Name: Matt Location: NA Country: NA Date: NA Question: what percentage of the brain does the average human use? Replies: This is a very difficult question to address. Your...

67

Multifunctional Mesoscale Observing Networks  

Science Conference Proceedings (OSTI)

More than 120 scientists, engineers, administrators, and users met on 8–10 December 2003 in a workshop format to discuss the needs for enhanced three-dimensional mesoscale observing networks. Improved networks are seen as being critical to ...

Walter F. Dabberdt; Thomas W. Schlatter; Frederick H. Carr; Elbert W. Joe Friday; David Jorgensen; Steven Koch; Maria Pirone; F. Martin Ralph; Juanzhen Sun; Patrick Welsh; James W. Wilson; Xiaolei Zou

2005-07-01T23:59:59.000Z

68

Advance Network Reservation and Provisioning for Science  

E-Print Network (OSTI)

such as Internet 2 [1] and ESnet (Energy Sciences Network) [advanced bandwidth reservation in ESnet for on-demand highto improve the current ESnet advance network reservation

Balman, Mehmet

2010-01-01T23:59:59.000Z

69

Singing the Brain Electric  

E-Print Network (OSTI)

Singing the Brain Electric Brain pacemakers, scientists have found, can treat depression by correcting neural circuitry gone haywire. This thesis examines how such technology - a technique known as deep-brain stimulation, ...

Chua, Grace (Grace W. J.)

2008-01-01T23:59:59.000Z

70

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

SciTech Connect

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.

Vorotnitskii, V. Z.; Zaslonov, S. V.; Lysyuk, S. S. [Electric Power Research Institute (VNIIE) (Russian Federation)

2006-11-15T23:59:59.000Z

71

Networking RP @ DISI Fabrizio Granelli, Lab Coordinator  

E-Print Network (OSTI)

S and resource management Wireless mesh networks: WiFi, WiMax Cellular: transmission, protocols and network and management Distributed signaling Overlay to network mapping and cooperation Research Topics: Protocol Design-Layering Performance Improvement in Wireless Networks Congestion Control GRID & Overlay Networks Design of Wireless

Granelli, Fabrizio

72

Dynamic adaptation policies to improve quality of service of real-time multimedia applications in IEEE 802.11e WLAN networks  

Science Conference Proceedings (OSTI)

With the increased popularity of wireless broad-band networks and the growing demand for multimedia applications, such as streaming video and teleconferencing, there is a need to support diverse multimedia services over the wireless medium. In order ... Keywords: IEEE 802.11e, quality of service, service level agreements, video streaming, wireless LAN

Naomi Ramos; Debashis Panigrahi; Sujit Dey

2007-08-01T23:59:59.000Z

73

Bayesian networks  

E-Print Network (OSTI)

g causal independence in Bayesian network inference. Journalworld ap- plications of Bayesian networks. Communications ofJensen. An Introduction to Bayesian Networks. Springer, New

Judea Pearl

2011-01-01T23:59:59.000Z

74

Mechanisms of brain ventricle development  

E-Print Network (OSTI)

The brain ventricles are a conserved system of fluid-filled cavities within the brain that form during the earliest stages of brain development. Abnormal brain ventricle development has been correlated with neurodevelopmental ...

Lowery, Laura Anne

2008-01-01T23:59:59.000Z

75

The evolution of network configuration: a tale of two campuses  

Science Conference Proceedings (OSTI)

Studying network configuration evolution can improve our understanding of the evolving complexity of networks and can be helpful in making network configuration less error-prone. Unfortunately, the nature of changes that operators make to network configuration ... Keywords: longitudinal analysis, network configuration, network evolution

Hyojoon Kim; Theophilus Benson; Aditya Akella; Nick Feamster

2011-11-01T23:59:59.000Z

76

Measuring network security using dynamic bayesian network  

Science Conference Proceedings (OSTI)

Given the increasing dependence of our societies on networked information systems, the overall security of these systems should be measured and improved. Existing security metrics have generally focused on measuring individual vulnerabilities without ... Keywords: attack graph, intrusion detection, security, security metric

Marcel Frigault; Lingyu Wang; Anoop Singhal; Sushil Jajodia

2008-10-01T23:59:59.000Z

77

Encoding of brain state changes in local field potentials modulated by motor behaviors  

E-Print Network (OSTI)

Local field potentials (LFPs) measure aggregate neural activity resulting from the coordinated firing of neurons within a local network. We hypothesized that state parameters associated with the underlying brain dynamics ...

Stamoulis, Catherine

78

Context-Dependent Network Agents  

Science Conference Proceedings (OSTI)

The design of dynamic networks and their embedded agents is one of the most challenging tasks in modern technology. This is particularly true of the U.S. power grid, the target application for the technology being developed by the Context-Dependent Network Agents (CDNA) Consortium in the EPRI/DOD Initiative on Complex Interactive Networks/Systems. This report develops the thesis that the agility and robustness of networks can be improved significantly by making some of the agents in the network more cont...

2000-05-23T23:59:59.000Z

79

The Application of Neural Network to the Development of Single ...  

Science Conference Proceedings (OSTI)

Neural Network. Like a human brain NN has a computational structure such that ... of the common cost function is the sum of squared error E(w) expressed by n.

80

Spatial Networks  

E-Print Network (OSTI)

Complex systems are very often organized under the form of networks where nodes and edges are embedded in space. Transportation and mobility networks, Internet, mobile phone networks, power grids, social and contact networks, neural networks, are all examples where space is relevant and where topology alone does not contain all the information. Characterizing and understanding the structure and the evolution of spatial networks is thus crucial for many different fields ranging from urbanism to epidemiology. An important consequence of space on networks is that there is a cost associated to the length of edges which in turn has dramatic effects on the topological structure of these networks. We will expose thoroughly the current state of our understanding of how the spatial constraints affect the structure and properties of these networks. We will review the most recent empirical observations and the most important models of spatial networks. We will also discuss various processes which take place on these spa...

Barthelemy, Marc

2010-01-01T23:59:59.000Z

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


81

Dynamic and collective analysis of membrane protein interaction network based on gene regulatory network model  

Science Conference Proceedings (OSTI)

Membrane protein interactions are vitally important for every process in a living cell. Information about these interactions can improve our understanding of diseases and provide the basis to revolutionize therapeutic treatments. However, current experimental ... Keywords: Bio-network, Dynamic and collective control, Gene regulatory network, Membrane protein interaction network, Robustness, Scale free distributing, Small-world network

Yong-Sheng Ding; Yi-Zhen Shen; Li-Hong Ren; Li-Jun Cheng

2012-12-01T23:59:59.000Z

82

Clustered-Hybrid Multilayer Perceptron network for pattern recognition application  

Science Conference Proceedings (OSTI)

This paper introduces a modified version of the Hybrid Multilayer Perceptron (HMLP) network to improve the performance of the conventional HMLP network. We adopted the Clustering Algorithm from the Radial Basis Function (RBF) network architecture and ... Keywords: Clustered-Hybrid Multilayer Perceptron network, Clustered-Modified Recursive Prediction Error, Clustering Algorithm, Neural network, Pattern Recognition, Radial Basis Function

Nor Ashidi Mat Isa; Wan Mohd Fahmi Wan Mamat

2011-01-01T23:59:59.000Z

83

Bayesian Networks  

E-Print Network (OSTI)

season. do X X X X Thus, Bayesian networks are particularly1990 G.F. Cooper and E. Herskovits. A Bayesian method forcon- structing Bayesian belief networks from databases.

Judea Pearl

2011-01-01T23:59:59.000Z

84

Microsystem process networks  

DOE Patents (OSTI)

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.

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

2007-09-18T23:59:59.000Z

85

Microsystem process networks  

DOE Patents (OSTI)

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.

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

2010-01-26T23:59:59.000Z

86

Microsystem process networks  

DOE Patents (OSTI)

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.

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

2006-10-24T23:59:59.000Z

87

Wireless Networking  

Science Conference Proceedings (OSTI)

Over the past decade, the world has witnessed an explosion in the development and deployment of new wireless network technologies. From cellular mobile telephony to the ubiquitous "WiFi" networks in coffee-shops and airports, to the emerging WiMAX wireless ... Keywords: Networking

Anurag Kumar; D. Manjunath; Joy Kuri

2008-03-01T23:59:59.000Z

88

Improved techniques for passive optical networks  

E-Print Network (OSTI)

Masters of Science, Electrical and Computer Engineering (School Bachelor of Science, Electrical Engineering,

Jorgesen, Douglas Ryan Tourtillott

2010-01-01T23:59:59.000Z

89

Small-world effects in wireless agent sensor networks  

Science Conference Proceedings (OSTI)

We describe a model for analysing the coverage graph from physical placement of mobile agents or sensor devices to improve coverage, fault tolerance and network lifetime. The planar graph for the devices is augmented by small-world network 'short-cuts'; ... Keywords: WSNs, clustering algorithms, connectivity graphs, fault tolerance, mobile agents, mobile sensors, modelling, network coverage, network lifetime, optimal coverage, percolation, scaling, small-world networks, wireless agents, wireless sensor networks

K. A. Hawick; H. A. James

2010-07-01T23:59:59.000Z

90

Interactive Visualization of Mobile Network Simulations  

E-Print Network (OSTI)

and the segmentation and quantificationof brain tumor volumes. The purpose of this report is to detail the work I have1 Interactive Visualization of Mobile Network Simulations & 3D Segmentation and Quantification. J. P. Brockway 08 May 2002 #12;2 Table of Contents Chapter 1: Introduction 1-2 Chapter 2

Subramanian, Kalpathi R.

91

Efficient sampling of information in social networks  

Science Conference Proceedings (OSTI)

As online social networking emerges, there has been increased interest to utilize the underlying social structure as well as the available social information to improve search. In this paper, we focus on improving the performance of information collection ... Keywords: personalization, sampling social networks, social search

Gautam Das; Nick Koudas; Manos Papagelis; Sushruth Puttaswamy

2008-10-01T23:59:59.000Z

92

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

SciTech Connect

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.

Rades, Dirk, E-mail: rades.dirk@gmx.net [Department of Radiation Oncology, University Hospital Schleswig-Holstein, Lubeck (Germany); Department of Radiation Oncology, University Hospital Hamburg-Eppendorf, Hamburg (Germany); Evers, Jasmin N. [Department of Radiation Oncology, University Hospital Schleswig-Holstein, Lubeck (Germany); Veninga, Theo [Department of Radiotherapy, Dr. Bernard Verbeeten Institute, Tilburg (Netherlands); Stalpers, Lukas J.A. [Department of Radiotherapy, Academic Medical Center, Amsterdam (Netherlands); Lohynska, Radka [Department of Radiation Oncology, University Hospital, Prague (Czech Republic); Schild, Steven E. [Department of Radiation Oncology, Mayo Clinic Scottsdale, Arizona (United States)

2011-11-15T23:59:59.000Z

93

Using trustworthy host-based information in the network  

Science Conference Proceedings (OSTI)

As hardware support for improved endhost security becomes ubiquitous, it is important to consider how network security and performance can benefit from these improvements. If portions of each endhost can be trusted, then network infrastructure no longer ... Keywords: host information, network security, trusted computing

Bryan Parno; Zongwei Zhou; Adrian Perrig

2012-10-01T23:59:59.000Z

94

Review: A survey and tutorial of wireless relay network protocols based on network coding  

Science Conference Proceedings (OSTI)

Ever since the wireless relay network (RN) was introduced, it has led to the discovery of several new protocols, which have been consistently improved by researchers to overcome many constraints such as throughput, capacity bound, symbol error rate, ... Keywords: Relay networks, Wireless network coding, Wireless relay protocols

Ahmed Hassan Mohammed; Bin Dai; Benxiong Huang; Muhammad Azhar; Guan Xu; Peng Qin; Shui Yu

2013-03-01T23:59:59.000Z

95

Network Hopes  

Science Conference Proceedings (OSTI)

In this work, the authors examine four cases of municipalities that have attempted to create municipal-sponsored wireless broadband networks. In each of these cases, one of the reasons given for establishing the network was to engage the citizens in ... Keywords: civic engagement, municipalities, social capital, wireless broadband Internet

Andrea H. Tapia; Julio Angel Ortiz

2010-02-01T23:59:59.000Z

96

Network Simulation  

SciTech Connect

A detailed introduction to the design, implementation and use of network simulation tools is presented. The requirements and issues faced in the design of simulators for wired and wireless networks are discussed. Abstractions such as packet- and fluid-level network models are covered. Several existing simulations are given as examples, with details and rationales regarding design decisions presented. Issues regarding performance and scalability are discussed in detail, describing how one can utilize distributed simulation methods to increase the scale and performance of a simulation environment. Finally, a case study of two simulation tools is presented that have been developed using distributed simulation techniques. This text is essential to any student, researcher or network architect desiring a detailed understanding of how network simulation tools are designed, implemented, and used.

Fujimoto, Richard [ORNL; Perumalla, Kalyan S [ORNL; Riley, George F. [Georgia Institute of Technology

2006-01-01T23:59:59.000Z

97

Performance evaluation of a grid computing architecture using realtime network monitoring  

Science Conference Proceedings (OSTI)

This paper integrates the concepts of realtime network monitoring and visualizations into a grid computing architecture on the Internet. We develop a Realtime Network Monitor(RNM) that performs realtime network monitoring in order to improve the performance ...

Young-Sik Jeong; Cheng-Zhong Xu

2004-12-01T23:59:59.000Z

98

Chernobyl Birds Have Smaller Brains  

E-Print Network (OSTI)

Background: Animals living in areas contaminated by radioactive material from Chernobyl suffer from increased oxidative stress and low levels of antioxidants. Therefore, normal development of the nervous system is jeopardized as reflected by high frequencies of developmental errors, reduced brain size and impaired cognitive abilities in humans. Alternatively, associations between psychological effects and radiation have been attributed to post-traumatic stress in humans. Methodology/Principal Finding: Here we used an extensive sample of 550 birds belonging to 48 species to test the prediction that even in the absence of post-traumatic stress, there is a negative association between relative brain size and level of background radiation. We found a negative association between brain size as reflected by external head volume and level of background radiation, independent of structural body size and body mass. The observed reduction in brain size in relation to background radiation amounted to 5 % across the range of almost a factor 5,000 in radiation level. Species differed significantly in reduction in brain size with increasing background radiation, and brain size was the only morphological character that showed a negative relationship with radiation. Brain size was significantly smaller in yearlings than in older individuals. Conclusions/Significance: Low dose radiation can have significant effects on normal brain development as reflected by brain size and therefore potentially cognitive ability. The fact that brain size was smaller in yearlings than in older individuals

Anders Pape Møller; Andea Bonisoli-alquati; Geir Rudolfsen; Timothy A. Mousseau

2010-01-01T23:59:59.000Z

99

On the role of feedback in network coding  

E-Print Network (OSTI)

Network coding has emerged as a new approach to operating communication networks, with a promise of improved efficiency in the form of higher throughput, especially in lossy conditions. In order to realize this promise in ...

Sundararajan, Jay Kumar, 1982-

2009-01-01T23:59:59.000Z

100

Study on Advanced Visualization Tools In Network Monitoring Platform  

Science Conference Proceedings (OSTI)

Visualization tools have emerged as a critical component, especially in medical, education, engineering, military and environmental management. These fields have applied the visualization techniques to improve decision making and organization management ... Keywords: data visualization, network traffic visualization, network monitoring

Doris Wong Hooi Ten; Selvakumar Manickam; Sureswaran Ramadass; Hussein A. Al Bazar

2009-11-01T23:59:59.000Z

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


101

Distributed energy-efficient hierarchical clustering for wireless sensor networks  

Science Conference Proceedings (OSTI)

Since nodes in a sensor network have limited energy, prolonging the network lifetime and improving scalability become important. In this paper, we propose a distributed weight-based energy-efficient hierarchical clustering protocol (DWEHC). Each node ...

Ping Ding; JoAnne Holliday; Aslihan Celik

2005-06-01T23:59:59.000Z

102

Phoebus: Network Middleware for Next-Generation Network Computing  

SciTech Connect

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.

Martin Swany

2012-06-16T23:59:59.000Z

103

Social Networks Applied  

Science Conference Proceedings (OSTI)

Social networks have interesting properties. Building computational models of these networks can help us understand and exploit them. This issue's essays examine applications of these networks' properties. Keywords: social networks, ontology, Semantic Web, network topology, friend of a friend

Steffen Staab; Pedro Domingos; Peter Mika; Jennifer Golbeck; Li Ding; Tim Finin; Anupam Joshi; Andrzej Nowak; Robin R. Vallacher

2005-01-01T23:59:59.000Z

104

Organizations and Networks | Open Energy Information  

Open Energy Info (EERE)

Organizations and Networks Organizations and Networks (Redirected from Gateway:International/Networks) Jump to: navigation, search Registered Technical and Research Organizations Networks Climate Eval "The website promotes active debate on areas relevant to evaluation of climate change and development evaluation by bringing relevant topics to a peer to peer discussion forum." Coordinated Low Emissions Assistance Network (CLEAN) CLEAN aims to improve communication and coordination by bringing together national and international organizations that are assisting developing countries with preparation and implementation of low greenhouse gas emission plans and strategies. This includes support for technology needs assessments, for low carbon and clean energy development plans, and

105

Information Processing in Brain Microtubules  

E-Print Network (OSTI)

Models of the mind are based on the possibility of computing in brain microtubules. From this point of view, information processing is the fundamental issue for understanding the brain mechanisms that produce consciousness. The cytoskeleton polymers could store and process information through their dynamic coupling mediated by mechanical energy. We analyze the problem of information transfer and storage in brain microtubules, considering them as a communication channel. We discuss the implications of assuming that consciousness is generated by the subneuronal process.

Jean Faber; Renato Portugal; Luiz Pinguelli Rosa

2004-04-06T23:59:59.000Z

106

The influence of rest period instructions on the default mode network  

E-Print Network (OSTI)

The default mode network (DMN) refers to regional brain activity that is greater during rest periods than during attention-demanding tasks; many studies have reported DMN alterations in patient populations. It has also ...

Benjamin, Christopher

107

Artificial Neural Networks and Long-Range Precipitation Prediction in California  

Science Conference Proceedings (OSTI)

Artificial neural networks (ANNs), which are modeled on the operating behavior of the brain, are tolerant of some imprecision and are especially useful for classification and function approximation/mapping problems, to which hard and fast rules ...

David Silverman; John A. Dracup

2000-01-01T23:59:59.000Z

108

Mining Your Brain For Safety  

Science Conference Proceedings (OSTI)

About this Abstract. Meeting, COM 2011. Symposium, WORLD GOLD. Presentation Title, Mining Your Brain For Safety: A New Approach To Utilizing Your Best ...

109

Melatonin and the aging brain  

E-Print Network (OSTI)

mitochondrial decay of aging. Mol. Aspects Med. 26, Ames,the degenerative diseases of aging. Proc. Natl. Acad. Sci.2004. Retardation of brain aging by chronic treatment with

BONDY, S; SHARMAN, E

2007-01-01T23:59:59.000Z

110

Network Mobility Home Network Models  

E-Print Network (OSTI)

This memo provides information for the Internet community. It does not specify an Internet standard of any kind. Distribution of this memo is unlimited. Copyright Notice Copyright (C) The IETF Trust (2007). This paper documents some of the usage patterns and the associated issues when deploying a Home Network for Network Mobility (NEMO)enabled Mobile Routers, conforming to the NEMO Basic Support. The aim here is specifically to provide some examples of organization of the Home Network, as they were discussed in NEMO-related mailing

P. Thubert; Cisco Systems; R. Wakikawa; V. Devarapalli

2007-01-01T23:59:59.000Z

111

Based on Two Swarm Optimized Algorithm of Neural Network to Prediction the Switch's Traffic of Coal  

Science Conference Proceedings (OSTI)

Coal accurately predict multi-channel network traffic monitoring network for transmission to enhance and improve the QoS is very important, the characteristics of coalmine monitoring network, the first neural network model was constructed, followed by ... Keywords: Coal, network traffic, ant colony algorithm, Particle swarm optimization

Xiao-qiang Shao

2011-07-01T23:59:59.000Z

112

A power- and coverage-aware clustering scheme for wireless sensor networks  

Science Conference Proceedings (OSTI)

A common and critical operation for wireless sensor networks is data gathering. The efficient clustering of a sensor network that can save energy and improve coverage efficiency is an important requirement for many upper layer network functions. This ... Keywords: Wireless sensor networks, clustering, energy and coverage efficiency, high-uniformity, network lifetime

Liang Xue; Xin-Ping Guan; Zhi-Xin Liu; Qing-Chao Zheng

2010-11-01T23:59:59.000Z

113

Transcranial LED therapy for cognitive dysfunction in chronic, mild traumatic brain injury: Two case reports  

E-Print Network (OSTI)

Two chronic, traumatic brain injury (TBI) cases are presented, where cognitive function improved following treatment with transcranial light emitting diodes (LEDs). At age 59, P1 had closed-head injury from a motor vehicle ...

Hamblin, Michael R.

114

Natural networks  

E-Print Network (OSTI)

Scale-free and non-computable characteristics of natural networks are found to result from the least-time dispersal of energy. To consider a network as a thermodynamic system is motivated since ultimately everything that exists can be expressed in terms of energy. According to the variational principle, the network will grow and restructure when flows of energy diminish energy differences between nodes as well as relative to nodes in surrounding systems. The natural process will yield scale-free characteristics because the nodes that contribute to the least-time consumption of free energy preferably attach to each other. Network evolution is a path-dependent and non-deterministic process when there are two or more paths to consume a common source of energy. Although evolutionary courses of these non-Hamiltonian systems cannot be predicted, many mathematical functions, models and measures that characterize networks can be recognized as appropriate approximations of the thermodynamic equation of motion that has been derived from statistical physics of open systems.

Tuomo Hartonen; Arto Annila

2011-06-21T23:59:59.000Z

115

Brookhaven Women Engineers' Network  

NLE Websites -- All DOE Office Websites (Extended Search)

Home | Mission | Other links BWEN Brookhaven Women Engineers' Network BNLlogo Brookhaven Women Engineers' Network Network for professionals in engineering, computing and...

116

PDSF Network Activity  

NLE Websites -- All DOE Office Websites (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...

117

Network Connections  

NLE Websites -- All DOE Office Websites (Extended Search)

Connecting to NERSC Using X Windows Connecting to NERSC with NX Transferring Data Network Performance Queues and Scheduling Job Logs & Analytics Training & Tutorials Software Accounts & Allocations Policies Data Analytics & Visualization Data Management Policies Science Gateways User Surveys NERSC Users Group User Announcements Help Operations for: Passwords & Off-Hours Status 1-800-66-NERSC, option 1 or 510-486-6821 Account Support https://nim.nersc.gov accounts@nersc.gov 1-800-66-NERSC, option 2 or 510-486-8612 Consulting http://help.nersc.gov consult@nersc.gov 1-800-66-NERSC, option 3 or 510-486-8611 Home » For Users » Network Connections Network Connections NERSC's resources can be accessed using SSH and related tools, grid tools, and via the web. This section explains how to connect to NERSC

118

Improving GridFTP performance using the Phoebus session layer  

Science Conference Proceedings (OSTI)

Phoebus is an infrastructure for improving end-to-end throughput in high-bandwidth, long-distance networks by using a "session layer" protocol and "gateways" in the network. Phoebus has the ability to dynamically allocate network resources and to use ...

Ezra Kissel; Martin Swany; Aaron Brown

2009-11-01T23:59:59.000Z

119

Blasting Vibration Forecast Base on Neural Network  

Science Conference Proceedings (OSTI)

The influence of blasting vibration to surroundings around the blasting area can not be ignored, in order to guarantee the safety of surroundings around blasting area, blasting vibration forecasting model based on neural network is established by improved ... Keywords: Blasting vibration, Neural network, Forecast

Haiwang Ye; Fang Liu; Jian Chang; Lin Feng; Yang Wang; Peng Yao; Kai Wu

2010-10-01T23:59:59.000Z

120

Wireless sensor networks for healthcare: A survey  

Science Conference Proceedings (OSTI)

Becoming mature enough to be used for improving the quality of life, wireless sensor network technologies are considered as one of the key research areas in computer science and healthcare application industries. The pervasive healthcare systems provide ... Keywords: Care for elderly, Children and chronically ill, Pervasive healthcare, Wireless sensor networks

Hande Alemdar; Cem Ersoy

2010-10-01T23:59:59.000Z

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


121

Rapid brain scanning radiopharmaceutical  

DOE Patents (OSTI)

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.

Sargent, III, Thornton W. (Berkeley, CA); Shulgin, Alexander T. (Lafayette, CA); Mathis, Chester A. (Oakland, CA)

1987-01-01T23:59:59.000Z

122

On-Chip Network exploration and synthesis  

E-Print Network (OSTI)

As CMOS technology improves, the trend of processor designs has gone towards multi-core architectures. Networks-on-Chips (NoCs) have become popular on-chip interconnect fabrics that connect the ever-increasing cores because ...

Chen, Chia-Hsin, S.M. Massachusetts Institute of Technology

2012-01-01T23:59:59.000Z

123

Networking support for underwater wireless networks.  

E-Print Network (OSTI)

?? Underwater wireless networks provide many opportunities for exploration, environmental monitoring, and military applications. Future growth of underwater networks seems promising as much of the… (more)

Kredo, Kurtis B., II

2010-01-01T23:59:59.000Z

124

Supporting Advanced Communications Networks  

Science Conference Proceedings (OSTI)

... it will rely on revolutionary advances in network architecture. ... telemedicine), sensor and control networks (eg, Smart Grid, environmental monitoring ...

2012-02-13T23:59:59.000Z

125

Neuroinformatics for Genome-Wide 3-D Gene Expression Mapping in the Mouse Brain  

Science Conference Proceedings (OSTI)

Large scale gene expression studies in the mammalian brain offer the promise of understanding the topology, networks and ultimately the function of its complex anatomy, opening previously unexplored avenues in neuroscience. High-throughput methods permit ... Keywords: Bioinformatics (genome or protein) databases, Data mining, Registration, Segmentation, Information Visualization

Lydia Ng; Sayan Pathak; Chihchau Kuan; Chris Lau; Hong-wei Dong; Andrew Sodt; Chinh Dang; Brian Avants; Paul Yushkevich; James Gee; David Haynor; Ed Lein; Allan Jones; Mike Hawrylycz

2007-07-01T23:59:59.000Z

126

Pipelined Encoding for Deterministic and Noisy Relay Networks  

E-Print Network (OSTI)

Recent coding strategies for deterministic and noisy relay networks are related to the pipelining of block Markov encoding. For deterministic networks, it is shown that pipelined encoding improves encoding delay, as opposed to end-to-end delay. For noisy networks, it is observed that decode-and-forward exhibits good rate scaling when the signal-to-noise ratio (SNR) increases.

Kramer, Gerhard

2009-01-01T23:59:59.000Z

127

Modeling environmental effects on directionality in wireless networks  

Science Conference Proceedings (OSTI)

One method for improving wireless network throughput involves using directional antennas to increase signal gain and/or decrease interference. The physical layer models used in current networking simulators only minimally address the interaction of directional ... Keywords: Antenna, Directional, Environment, Model, Networking, Wireless

Eric Anderson; Caleb Phillips; Douglas Sicker; Dirk Grunwald

2011-06-01T23:59:59.000Z

128

Statistical behaviors of mobile agents in network routing  

Science Conference Proceedings (OSTI)

Mobile agent-based network routing is a new technique for routing in large-scale networks. An analysis of the searching activity and population growth of mobile agents is important for improving performance in agent-driven networks. In this paper, we ... Keywords: Mobile agents, Population distribution, Probability of success, Routing

Wenyu Qu; Keqiu Li; Masaru Kitsuregawa; Weilian Xue

2012-06-01T23:59:59.000Z

129

Graceful network state migrations  

Science Conference Proceedings (OSTI)

A significant fraction of network events (such as topology or route changes) and the resulting performance degradation stem from premeditated network management and operational tasks. This paper introduces a general class of Graceful Network State Migration ... Keywords: communication system operations and management, computer network management, network maintenance, network upgrade

Saqib Raza; Yuanbo Zhu; Chen-Nee Chuah

2011-08-01T23:59:59.000Z

130

Network Economics Anna Nagurney  

E-Print Network (OSTI)

: · Transportation Networks ·the Internet · Financial Networks · Supply Chains ·Electric Power Generation power generation and distribution networks can be reformulated as transportation network equilibrium · Brief History of the Science of Networks · Interdisciplinary Impact of Networks · User-Optimization vs

Nagurney, Anna

131

Fuzzy Hopfield neural network clustering for single-trial motor imagery EEG classification  

Science Conference Proceedings (OSTI)

An electroencephalogram (EEG) analysis system for single-trial classification of motor imagery (MI) data is proposed in this study. Unsupervised fuzzy Hopfield neural network (FHNN) clustering, together with active segment selection and multiresolution ... Keywords: Brain-computer interface (BCI), Electroencephalogram (EEG), Fractal dimension (FD), Fuzzy Hopfield neural network (FHNN), Motor imagery (MI), Wavelet transform

Wei-Yen Hsu

2012-01-01T23:59:59.000Z

132

Neuromorphic modeling abstractions and simulation of large-scale cortical networks  

Science Conference Proceedings (OSTI)

Biological neural systems are well known for their robust and power-efficient operation in highly noisy environments. We outline key modeling abstractions for the brain and focus on spiking neural network models. We discuss aspects of neuronal processing ... Keywords: GPU, computational neuroscience, parallel processing, spiking neural networks, synapse, vision

Jeffrey L. Krichmar; Nikil Dutt; Jayram M. Nageswaran; Micah Richert

2011-11-01T23:59:59.000Z

133

Catestatin in heart and brain  

E-Print Network (OSTI)

ATP,  atrial naturetic peptide (ANP), and brain naturetic contain CgA, catecholamines, ANP, etc.  Interestingly, the or goat polyclonal anti?ANP  antibody in PBS containing 2% 

Curello, Erica L.

2010-01-01T23:59:59.000Z

134

Methods for functional brain imaging  

E-Print Network (OSTI)

Magnetic resonance imaging (MRI) has demonstrated the potential for non-invasive mapping of structure and function (fMRI) in the human brain. In this thesis, we propose a series of methodological developments towards ...

Witzel, Thomas, Ph. D. Massachusetts Institute of Technology

2011-01-01T23:59:59.000Z

135

Securing network access in wireless sensor networks  

Science Conference Proceedings (OSTI)

In wireless sensor networks, it is critical to restrict the network access only to eligible sensor nodes, while messages from outsiders will not be forwarded in the networks. In this paper, we present the design, implementation, and evaluation of a secure ... Keywords: elliptic curve cryptography, security, sensor networks

Kun Sun; An Liu; Roger Xu; Peng Ning; Douglas Maughan

2009-03-01T23:59:59.000Z

136

Refractory Improvement  

NLE Websites -- All DOE Office Websites (Extended Search)

Refractory Improvement Refractory Improvement NETL Office of Research and Development Project Number: FWP-2012.03.03 Task 2 Project Description Industry would like gasifier on-line availability of 85-95% for utility applications and 95% for applications such as chemical production. Gasification facilities' are currently unable to meet these requirements, which have created a potential roadblock to widespread acceptance and commercialization of gasification technologies. Refractory liners and syngas coolers are among key components of the gasification process previously identified as negatively impacting gasifier availability. Ash originating from impurities in the gasifier's carbon feedstock is the root cause of many problems impacting gasifier RAM (Reliability Availability Maintainability). At the high temperatures of gasification, ash changes to liquid, gas, and solid phases which wear down refractory materials and can cause fouling, either of which can lead to unplanned shutdowns for system repair, replacement, or cleaning.

137

Fault Diagnosis of Transformer Based on Probabilistic Neural Network  

Science Conference Proceedings (OSTI)

In order to improve the correct rate of transformer fault diagnosis based on three-ratio method of traditional dissolved gas analysis (DGA), a novel intelligent transformer fault diagnosis method based on both DGA and probabilistic neural network (PNN) ... Keywords: transformer fault diagnosis, probabilistic neural network (PNN), improved three-ratio method

Li Song; Li Xiu-ying; Wang Wen-xu

2011-03-01T23:59:59.000Z

138

Scalable load balancing congestion-aware Network-on-Chip router architecture  

Science Conference Proceedings (OSTI)

Adaptive routing algorithms have been employed in interconnection networks to improve network throughput and provide better fault tolerance characteristics. However, they can harm performance by disturbing any inherent global load balance through greedy ... Keywords: Congestion-aware, Fault tolerance, Interconnection network, Load balance, Network-on-Chip (NoC)

Chifeng Wang; Wen-Hsiang Hu; Nader Bagherzadeh

2013-06-01T23:59:59.000Z

139

Automatic fracture density update using smart well data and artificial neural networks  

Science Conference Proceedings (OSTI)

This paper presents a new methodology to continuously update and improve fracture network models. We begin with a hypothetical model whose fracture network parameters and geological information are known. After generating the ''exact'' fracture network ... Keywords: ANN, Fracture networks, Production data, Smart wells, Static data, Static model

A. Al-Anazi; T. Babadagli

2010-03-01T23:59:59.000Z

140

Monitoring quality optimization in wireless sensor networks with a mobile sink  

Science Conference Proceedings (OSTI)

The exploitation of sink mobility has been proven to improve various network performance significantly, including network lifetime, data delivery latency, network connectivity, and so on. In this paper we consider a novel network model consisting of ... Keywords: distance-constrained tour, energy efficiency, mobile sink, monitoring quality

Xu Xu; Weifa Liang

2011-10-01T23:59:59.000Z

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


141

BrainMap `95 workshop  

SciTech Connect

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.

1995-12-31T23:59:59.000Z

142

System and method for networking electrochemical devices  

DOE Patents (OSTI)

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.

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

1995-01-01T23:59:59.000Z

143

Network Programming with Perl  

Science Conference Proceedings (OSTI)

From the Book:The network is everywhere. At the office, machines are wired together into local area networks, and the local networks are interconnected via the Internet. At home, personal computers are either intermittently connected to the Internet, ...

Lincoln Stein

2000-12-01T23:59:59.000Z

144

Science-Driven Network  

NLE Websites -- All DOE Office Websites (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...

145

Public Safety Broadband Network  

Science Conference Proceedings (OSTI)

... EMNTG) performs RF network analysis and optimization of ... Network analyses can be used to predict ... of an incident area communication scenario. ...

2012-02-22T23:59:59.000Z

146

ASCR Science Network Requirements  

E-Print Network (OSTI)

ASCR Science Network Requirements Office of AdvancedScientific Computing Research, DOE Office of ScienceEnergy Sciences Network Gaithersburg, MD — April 15 and 16,

Dart, Eli

2010-01-01T23:59:59.000Z

147

Solar Brain Srl | Open Energy Information  

Open Energy Info (EERE)

Name Solar Brain Srl Place Rome, Italy Zip 189 Sector Solar Product Rome-based solar and alternative energy company. References Solar Brain Srl1 LinkedIn Connections CrunchBase...

148

SmartRE: an architecture for coordinated network-wide redundancy elimination  

Science Conference Proceedings (OSTI)

Application-independent Redundancy Elimination (RE), or identifying and removing repeated content from network transfers, has been used with great success for improving network performance on enterprise access links. Recently, there is growing interest ... Keywords: caching, redundancy elimination

Ashok Anand; Vyas Sekar; Aditya Akella

2009-08-01T23:59:59.000Z

149

The use of simulation for global supply network rationalization in the pharmaceutical industry  

Science Conference Proceedings (OSTI)

In today's volatile business environment, many companies are expanding, merging, contracting, or otherwise redesigning their supply chain networks. Supply chain network rationalization could significantly help to improve supply chain operational efficiency ...

Changrui Ren; Wei Wang; Bing Shao; Qinhua Wang; Jin Dong; Hongwei Ding

2009-12-01T23:59:59.000Z

150

The MicroGrid: Using Online Simulation to Predict Application Performance in Diverse Grid Network Environments  

Science Conference Proceedings (OSTI)

Improvements in networking and middleware technologyare enabling large-scale grids that aggregateresources over wide-area networks to support applicationsat unprecedented levels of scale and performance.Unfortunately, existing middleware and tools provide ...

2004-06-01T23:59:59.000Z

151

Apples-to-apples: a framework analysis for energy-efficiency in networks  

Science Conference Proceedings (OSTI)

Research on energy-efficiency of communication networks has already gained the attention of a broad research community. Specifically, we consider efforts towards improving environmental sustainability by making networks energyaware. An important step ...

Aruna Prem Bianzino; Anand Kishore Raju; Dario Rossi

2011-01-01T23:59:59.000Z

152

Self-healing networks: redundancy and structure  

E-Print Network (OSTI)

We introduce the concept of self-healing in the field of complex networks. Obvious applications range from infrastructural to technological networks. By exploiting the presence of redundant links in recovering the connectivity of the system, we introduce self-healing capabilities through the application of distributed communication protocols granting the "smartness" of the system. We analyze the interplay between redundancies and smart reconfiguration protocols in improving the resilience of networked infrastructures to multiple failures; in particular, we measure the fraction of nodes still served for increasing levels of network damages. We study the effects of different connectivity patterns (planar square-grids, small-world, scale-free networks) on the healing performances. The study of small-world topologies shows us that the introduction of some long-range connections in the planar grids greatly enhances the resilience to multiple failures giving results comparable to the most resilient (but less realis...

Quattrociocchi, Walter; Scala, Antonio

2013-01-01T23:59:59.000Z

153

ESnet - the energy sciences network strategic plan  

Science Conference Proceedings (OSTI)

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.

NONE

1996-12-01T23:59:59.000Z

154

Brain-computer interaction: can multimodality help?  

Science Conference Proceedings (OSTI)

This paper is a short introduction to a special ICMI session on brain-computer interaction. During this paper, we first discuss problems, solutions, and a five-year view for brain-computer interaction. We then talk further about unique issues with multimodal ... Keywords: bandwidth, brain-computer interaction, hybrid BCIs, multimodal interaction

Anton Nijholt; Brendan Z. Allison; Rob J.K. Jacob

2011-11-01T23:59:59.000Z

155

High Performance Network Monitoring  

SciTech Connect

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.

Martinez, Jesse E [Los Alamos National Laboratory

2012-08-10T23:59:59.000Z

156

Organizations and Networks | Open Energy Information  

Open Energy Info (EERE)

Jump to: navigation, search Jump to: navigation, search Registered Technical and Research Organizations Networks Climate Eval "The website promotes active debate on areas relevant to evaluation of climate change and development evaluation by bringing relevant topics to a peer to peer discussion forum." Coordinated Low Emissions Assistance Network (CLEAN) CLEAN aims to improve communication and coordination by bringing together national and international organizations that are assisting developing countries with preparation and implementation of low greenhouse gas emission plans and strategies. This includes support for technology needs assessments, for low carbon and clean energy development plans, and for technology roadmaps and deployment programs. Renewable Energy Policy Network for the 21st Century (REN21)

157

Network science: a review focused on tourism  

E-Print Network (OSTI)

This paper presents a review of the methods of the science of networks with an application to the field of tourism studies. The basic definitions and computational techniques are described and a case study (Elba, Italy) used to illustrate the effect of network typology on information diffusion. A static structural characterization of the network formed by destination stakeholders is derived from stakeholder interviews and website link analysis. This is followed by a dynamic analysis of the information diffusion process within the destination demonstrating that stakeholder cohesion and adaptive capacity have a positive effect on information diffusion. The outcomes and the implications of this analysis for improving destination management are discussed.

Baggio, R; Cooper, C

2010-01-01T23:59:59.000Z

158

Networks, Information & Social Capital  

E-Print Network (OSTI)

This paper investigates how information flows enable social networks to constitute social capital. By analyzing

Aral, Sinan

2008-01-26T23:59:59.000Z

159

FES Science Network Requirements  

E-Print Network (OSTI)

FES Science Network Requirements Report of the Fusion Energy Sciences Network Requirements Workshop Conducted March 13 and 14, 2008 #12;FES Science Network Requirements Workshop Fusion Energy Sciences Program Office, DOE Office of Science Energy Sciences Network Gaithersburg, MD ­ March 13 and 14, 2008 ESnet

Geddes, Cameron Guy Robinson

160

Wireless sensor network survey  

Science Conference Proceedings (OSTI)

A wireless sensor network (WSN) has important applications such as remote environmental monitoring and target tracking. This has been enabled by the availability, particularly in recent years, of sensors that are smaller, cheaper, and intelligent. These ... Keywords: Protocols, Sensor network deployment, Sensor network services, Survey, Wireless sensor network

Jennifer Yick; Biswanath Mukherjee; Dipak Ghosal

2008-08-01T23:59:59.000Z

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


161

IMPROVE and Other National Programs  

E-Print Network (OSTI)

Atmospheric deposition is the result of air pollution gases and aerosols leaving the atmosphere as “dry ” or “wet ” deposition. Little is known about just how much pollution is deposited onto soils, lakes and streams. To determine the extent and trends of forest exposure to air pollution, various types of monitoring have been conducted. In this study, we evaluate data from different rural air monitoring programs to determine whether or not they may have wider applications in resource monitoring and protection. This report analyzes location-specific data collected by three national programs: The CASTNET (NDDN) Network supported by the Environmental Protection Agency, the IMPROVE (Interagency Monitoring of Protected Visual Environments) network supported by federal land managers, and the NADP/NTN program supported by many agencies.

United States; Forest Service; Karl Zeller; Debra Youngblood Harrington; Richard Fisher; Evgeny Donev Abstract; Karl Harrington; Debra Youngblood Fisher; Richard Donev; Evgeny Determining

2000-01-01T23:59:59.000Z

162

Study on Oil Drilling Prediction Based on Improved FNN Method  

Science Conference Proceedings (OSTI)

The prediction of exploitable reserves of oil layer is a complicated problem, which involves many geological and crude oil parameters. Considering its intrinsic properties, this paper put forward an improved fuzzy neural network (FFN) method, and compared ... Keywords: fuzzy neural network, exploitable reserve, prediction

Xinyu Geng; Bin Liu; Xiaoyan Huang

2010-12-01T23:59:59.000Z

163

Idealized Adaptive Observation Strategies for Improving Numerical Weather Prediction  

Science Conference Proceedings (OSTI)

Adaptive sampling uses information about individual atmospheric situations to identify regions where additional observations are likely to improve weather forecasts of interest. The observation network could be adapted for a wide range of ...

Rebecca E. Morss; Kerry A. Emanuel; Chris Snyder

2001-01-01T23:59:59.000Z

164

Improving the interaction between overlay routing and traffic engineering  

Science Conference Proceedings (OSTI)

Overlay routing has been successful as an incremental method to improve Internet routing by allowing its own users to select their logical routing. In the meantime, traffic engineering (TE) are being used to reduce the whole network cost by adapting ...

Gene Moo Lee; Taehwan Choi

2008-05-01T23:59:59.000Z

165

Forward and inverse metabolic engineering strategies for improving polyhydroxybyrate production  

E-Print Network (OSTI)

Forward metabolic engineering (FME) is a rational approach to cellular engineering, relying on an understanding of the entire metabolic network to direct perturbations for phenotype improvement. Conversely, inverse metabolic ...

Tyo, Keith E. J

2008-01-01T23:59:59.000Z

166

Development of Advanced Massive Heterogeneous Sensor Networks  

NLE Websites -- All DOE Office Websites (Extended Search)

Advanced Massive Heterogeneous Sensor Networks Research Team * Doug McCorkle * Kris Bryden * Mark Bryden Ames Laboratory U of Maryland * Ashwani Gupta * Miao Yu Power Plant Challenges * Conflicting goals of reliable low cost energy and climate change mitigation * Large investment in current infrastructure * Little implementation of information technologies Sensors ... * will be "free" * will be small (lick 'n stick) * will be smart * will be ubiquitous Low cost improvements in sensing for control and condition monitoring can result in big improvements in cost and carbon emissions * "... develop the understandings, algorithms, and control strategies needed to utilize large-scale, high- density sensor networks in advanced power plants." * Develop techniques for the

167

Network Observability Transitions  

E-Print Network (OSTI)

In the modeling, monitoring, and control of complex networks, a fundamental problem concerns the comprehensive determination of the state of the system from limited measurements. Using power grids as example networks, we show that this problem leads to a new type of percolation transition, here termed a {\\it network observability transition}, which we solve analytically for the configuration model. We also demonstrate a dual role of the network's community structure, which both facilitates optimal measurement placement and renders the networks substantially more sensitive to `observability attacks'. Aside from their immediate implications for the development of smart grids, these results provide insights into decentralized biological, social, and technological networks.

Yang, Yang; Motter, Adilson E; 10.1103/PhysRevLett.109.258701

2013-01-01T23:59:59.000Z

168

Distributed optimal dynamic base station positioning in wireless sensor networks  

Science Conference Proceedings (OSTI)

Base station (BS) positioning is an effective method for improving the performance of wireless sensor networks (WSNs). A metric-aware optimal BS positioning and relocation mechanism for WSNs is proposed. This technique locates the BS with respect to ... Keywords: Base station placement, Base station relocation, Least-squares optimization, Wireless sensor networks

P. D. Hossein Zadeh; C. Schlegel; M. H. MacGregor

2012-01-01T23:59:59.000Z

169

Agent fitness functions for evolving coordinated sensor networks  

Science Conference Proceedings (OSTI)

Distributed sensor networks are an attractive area for research in agent systems. This is due primarily to the level of information available in applications where sensing technology has improved dramatically. These include energy systems and area coverage ... Keywords: agent fitness, distributed sensor network, neuro-evolution

Christian Roth; Matt Knudson; Kagan Tumer

2011-07-01T23:59:59.000Z

170

About efficiency in wireless communication frameworks on vehicular networks  

Science Conference Proceedings (OSTI)

Nowadays, the Intelligent Transport Systems (ITS) attract many attentions. ITS applications would indeed increase the road safety and the transport efficiency, limit the impact of the vehicles on the environment, improve the overall productivity... However, ... Keywords: ITS, VANET, distributed framework, dynamic ad hoc networks, embedded architecture, road experiments, vehicular networks

Bertrand Ducourthial

2007-08-01T23:59:59.000Z

171

Feed me: motivating newcomer contribution in social network sites  

Science Conference Proceedings (OSTI)

Social networking sites (SNS) are only as good as the content their users share. Therefore, designers of SNS seek to improve the overall user experience by encouraging members to contribute more content. However, user motivations for contribution in ... Keywords: SNS, distribution, feedback, motivating contribution, online communities, production incentives, sharing, singling out, social learning, social network sites

Moira Burke; Cameron Marlow; Thomas Lento

2009-04-01T23:59:59.000Z

172

A Decentralized Dynamic Sensor Activation Protocol for Chemical Sensor Networks  

Science Conference Proceedings (OSTI)

Due to the significant amount of energy consumed by chemical sensors for sensing, reducing sensing activity is critical for improving the lifespan of chemical sensor networks. In this paper, we consider a simple decentralized dynamic sensor activation ...

Shanika Karunasekera; Champake Mendis; Alex Skvortsov; Ajith Gunatilaka

2010-07-01T23:59:59.000Z

173

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

DOE Green Energy (OSTI)

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.

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

2009-12-01T23:59:59.000Z

174

Autonomous Depth Adjustment for Underwater Sensor Networks: Design and Applications  

E-Print Network (OSTI)

To fully understand the ocean environment requires sensing the full water column. Utilizing a depth adjustment system on an underwater sensor network provides this while also improving global sensing and communications. ...

Detweiler, Carrick

175

Uncertainty of Daily Isolation Estimates from a Mesoscale Pyranometer Network  

Science Conference Proceedings (OSTI)

Daily insulation values at the earth's surface are required for modeling of biophysical processes and solar energy engineering design. Ground-based pyranometer networks have proliferated in recent years, offering improved spatial coverage for ...

William L. Bland

1996-02-01T23:59:59.000Z

176

Adaptive sampling and forecasting with mobile sensor networks  

E-Print Network (OSTI)

This thesis addresses planning of mobile sensor networks to extract the best information possible out of the environment to improve the (ensemble) forecast at some verification region in the future. To define the information ...

Choi, Han-Lim

2009-01-01T23:59:59.000Z

177

Energy research network management workshop  

Science Conference Proceedings (OSTI)

This report contains presentations on computer network management. The list of presentations are: ESNET Steering Committee; Site Access Coordinator Group; Magnetic Fusion Energy; HEPNET Review Committee; High Energy Physics Technical Coordinating Committee; Energy Research DECnet Working Group; A Research and Development Strategy for High Performance Computing; Compare Functionality of DECNET, MFENET, TCP/IP; Video Movie Making Using The LBL/MFE Experimental Link; Research in Distributed Computing over Long Haul Networks; Performance Improvements and Transport Protocols; HRC Report; Panel Discussion: ESNET Management Issues; NMFECC Operations Summary; Large Systems Overview File Storage and POSIX Interface; User Support Services; Overview of the MFENET II; and Access to Supercomputers at FSU Hardware, Software Status, and Remote Access.

Not Available

1988-06-01T23:59:59.000Z

178

Policy Network Approach to Coordinated Disaster Response  

E-Print Network (OSTI)

In this paper, we explore the formation of network relationships among disaster relief agencies during the process of responding to an unexpected event. The relationship is investigated through variables derived from the policy network theory, and four cases from three developed countries such as (i) Hurricane Katrina in the US; (ii) Typhoon Maemi in South Korea; (iii) Kobe; and, (iv) Tohoku Earthquake in Japan that failed to cope with extreme events forms the basis for case study presented here. We argue that structural characteristics of multi-jurisdictional coordination may facilitate or impede in responding to a complex nature of recent disaster. We further highlight the promise of policy network approach in facilitating the development of multi-jurisdictional coordination process which may provide new avenue to improve the communication and coordination of hierarchical command control driven organizations with the local community. Our proposed novel approach in investigating the usefulness of network app...

Kim, Kwang Deok

2013-01-01T23:59:59.000Z

179

Networking Value Center  

Science Conference Proceedings (OSTI)

Identifies opportunities and structures that foster networking amongst participants for the purpose of building value into the experience. Networking Value Center AOCS History and Governance about us aocs committees contact us division council fat

180

Network coded wireless architecture  

E-Print Network (OSTI)

Wireless mesh networks promise cheap Internet access, easy deployment, and extended range. In their current form, however, these networks suffer from both limited throughput and low reliability; hence they cannot meet the ...

Katti, Sachin Rajsekhar

2008-01-01T23:59:59.000Z

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


181

Synchronisation in data networks  

Science Conference Proceedings (OSTI)

Synchronisation is of fundamental importance to the performance of digital networks, but the effects of poor network timing on the information being transported are often largely ignored. This paper provides an introduction to the subject of synchronisation, ...

T. S. Brown; M. J. Gilson; M. G. Mason

1998-01-01T23:59:59.000Z

182

Connectibles : tangible social networking  

E-Print Network (OSTI)

This thesis presents "Connectibles," an instantiation of a tangible social network, a new type of social network application rooted in physical objects and real world social behavior. This research is inspired by social ...

Kalanithi, Jeevan James

2007-01-01T23:59:59.000Z

183

Network game and boosting  

Science Conference Proceedings (OSTI)

We propose an ensemble learning method called Network Boosting which combines weak learners together based on a random graph (network). A theoretic analysis based on the game theory shows that the algorithm can learn the target hypothesis asymptotically. ...

Shijun Wang; Changshui Zhang

2005-10-01T23:59:59.000Z

184

Piecewise truckload network procurement  

E-Print Network (OSTI)

Faced with procuring transportation over its freight network, a shipper can either bid out all of its lanes at once, or somehow divide up the network and bid it out in pieces. For large shippers, practical concerns such ...

Huang, Jefferson

2011-01-01T23:59:59.000Z

185

2006 Special Issue: Analyzing and shaping human attentional networks  

Science Conference Proceedings (OSTI)

In this paper we outline a conception of attentional networks arising from imaging studies as connections between activated brain areas carrying out localized mental operations. We consider both the areas of functional activation (nodes) and the structural ... Keywords: Alerting, DCM (Dynamic causal model for connectivity analysis), DTI (Diffusion tensor imaging), EEG frequency (electroencephalographic), Executive attention, Orienting, Self-regulation, fMRI (functional magnetic resonance imaging)

Michael I. Posner; Brad E. Sheese; Yalçin Odluda?; YiYuan Tang

2006-11-01T23:59:59.000Z

186

Multiuser Diversity Gain in Cognitive Networks  

E-Print Network (OSTI)

Dynamic allocation of resources to the \\emph{best} link in large multiuser networks offers considerable improvement in spectral efficiency. This gain, often referred to as \\emph{multiuser diversity gain}, can be cast as double-logarithmic growth of the network throughput with the number of users. In this paper we consider large cognitive networks granted concurrent spectrum access with license-holding users. The primary network affords to share its under-utilized spectrum bands with the secondary users. We assess the optimal multiuser diversity gain in the cognitive networks by quantifying how the sum-rate throughput of the network scales with the number of secondary users. For this purpose we look at the optimal pairing of spectrum bands and secondary users, which is supervised by a central entity fully aware of the instantaneous channel conditions, and show that the throughput of the cognitive network scales double-logarithmically with the number of secondary users ($N$) and linearly with the number of avai...

Tajer, Ali

2010-01-01T23:59:59.000Z

187

Networked Control Systems Group  

Science Conference Proceedings (OSTI)

... and deploys measurement science for sensor networks and control systems used in manufacturing, construction, and other cyber-physical systems ...

2012-08-30T23:59:59.000Z

188

Ultra-wideband radar sensors and networks  

DOE Patents (OSTI)

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.

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

2013-08-06T23:59:59.000Z

189

Incentive Regulation for German Energy Network Operators  

Science Conference Proceedings (OSTI)

Germany's newly instituted energy regulator, the BNA, has created high hopes that new rules would not only improve network efficiency but also provide a level playing field in energy markets. But an analysis suggests that the proposed new regulatory methods are unlikely to meet these objectives without provoking economic and legal challenges. (author)

Kraus, Michael

2006-08-15T23:59:59.000Z

190

Network protection with service guarantees  

E-Print Network (OSTI)

With the increasing importance of communication networks comes an increasing need to protect against network failures. Traditional network protection has been an "all-or-nothing" approach: after any failure, all network ...

Kuperman, Gregory

2013-01-01T23:59:59.000Z

191

Network coding: an instant primer  

Science Conference Proceedings (OSTI)

Network coding is a new research area that may have interesting applications in practical networking systems. With network coding, intermediate nodes may send out packets that are linear combinations of previously received information. There are two ... Keywords: network coding

Christina Fragouli; Jean-Yves Le Boudec; Jörg Widmer

2006-01-01T23:59:59.000Z

192

Energy proportional datacenter networks  

Science Conference Proceedings (OSTI)

Numerous studies have shown that datacenter computers rarely operate at full utilization, leading to a number of proposals for creating servers that are energy proportional with respect to the computation that they are performing. In this paper, ... Keywords: datacenter networks, interconnection networks, low-power networking

Dennis Abts; Michael R. Marty; Philip M. Wells; Peter Klausler; Hong Liu

2010-06-01T23:59:59.000Z

193

Outsourcing network functionality  

Science Conference Proceedings (OSTI)

This paper presents an architecture for adding functionality to networks via outsourcing. In this model, the enterprise network only forwards data; any additional processing is performed by external Feature Providers (FPs). FPs provide and manage ... Keywords: jingling, middleboxes, network services, outsourcing, sdn

Glen Gibb; Hongyi Zeng; Nick McKeown

2012-08-01T23:59:59.000Z

194

Connecting to the Internet Securely; Protecting Home Networks CIAC-2324  

SciTech Connect

With more and more people working at home and connecting to company networks via the Internet, the risk to company networks to intrusion and theft of sensitive information is growing. Working from home has many positive advantages for both the home worker and the company they work for. However, as companies encourage people to work from home, they need to start considering the interaction of the employee's home network and the company network he connects to. This paper discusses problems and solutions related to protection of home computers from attacks on those computers via the network connection. It does not consider protection of those systems from people who have physical access to the computers nor does it consider company laptops taken on-the-road. Home networks are often targeted by intruders because they are plentiful and they are usually not well secured. While companies have departments of professionals to maintain and secure their networks, home networks are maintained by the employee who may be less knowledgeable about network security matters. The biggest problems with home networks are that: Home networks are not designed to be secure and may use technologies (wireless) that are not secure; The operating systems are not secured when they are installed; The operating systems and applications are not maintained (for security considerations) after they are installed; and The networks are often used for other activities that put them at risk for being compromised. Home networks that are going to be connected to company networks need to be cooperatively secured by the employee and the company so they do not open up the company network to intruders. Securing home networks involves many of the same operations as securing a company network: Patch and maintain systems; Securely configure systems; Eliminate unneeded services; Protect remote logins; Use good passwords; Use current antivirus software; and Moderate your Internet usage habits. Most of these items do not take a lot of work, but require an awareness of the risks involved in not doing them or doing them incorrectly. The security of home networks and communications with company networks can be significantly improved by adding an appropriate software or hardware firewall to the home network and using a protected protocol such as Secure Sockets Layer (SSL), a Virtual Private Network (VPN), or Secure Shell (SSH) for connecting to the company network.

Orvis, W J; Krystosek, P; Smith, J

2002-11-27T23:59:59.000Z

195

Genotype and ancestry modulate brain's DAT availability in healthy humans  

Science Conference Proceedings (OSTI)

The dopamine transporter (DAT) is a principal regulator of dopaminergic neurotransmission and its gene (the SLC6A3) is a strong biological candidate gene for various behavioral- and neurological disorders. Intense investigation of the link between the SLC6A3 polymorphisms and behavioral phenotypes yielded inconsistent and even contradictory results. Reliance on objective brain phenotype measures, for example, those afforded by brain imaging, might critically improve detection of DAT genotype-phenotype association. Here, we tested the relationship between the DAT brain availability and the SLC6A3 genotypes using an aggregate sample of 95 healthy participants of several imaging studies. These studies employed positron emission tomography (PET) with [{sup 11}C] cocaine wherein the DAT availability was estimated as Bmax/Kd; while the genotype values were obtained on two repeat polymorphisms - 3-UTR- and intron 8- VNTRs. The main findings are the following: (1) both polymorphisms analyzed as single genetic markers and in combination (haplotype) modulate DAT density in midbrain; (2) ethnic background and age influence the strength of these associations; and (3) age-related changes in DAT availability differ in the 3-UTR and intron8 - genotype groups.

Shumay, E.; Shumay, E.; Chen, J.; Fowler, J.S.; Volkow, N.D.

2011-08-01T23:59:59.000Z

196

Cyber and Network Security Homepage  

Science Conference Proceedings (OSTI)

Cyber and Network Security. Cyber and network security is focused on ensuring three security objectives of information ...

2010-10-05T23:59:59.000Z

197

On the probability of finding non-interfering paths in wireless multihop networks  

Science Conference Proceedings (OSTI)

Multipath routing can improve system performance of capacity-limited wireless networks through load balancing. However, even with a single source and destination, intra-flow and inter-flow interference can void any performance improvement. In this paper, ...

S. Waharte; R. Boutaba

2008-05-01T23:59:59.000Z

198

Nodes organization for channel assignment with topology preservation in multi-radio wireless mesh networks  

Science Conference Proceedings (OSTI)

The wireless mesh network is a new emerging broadband technology providing the last-mile Internet access for mobile users by exploiting the advantage of multiple radios and multiple channels. The throughput improvement of the network relies heavily on ... Keywords: Channel assignment, Multiple channels, Multiple radios, Particle swarm optimization algorithm, Wireless mesh networks

Hongju Cheng; Naixue Xiong; Athanasios V. Vasilakos; Laurence Tianruo Yang; Guolong Chen; Xiaofang Zhuang

2012-07-01T23:59:59.000Z

199

QoS and energy aware routing for real-time traffic in wireless sensor networks  

Science Conference Proceedings (OSTI)

Wireless sensor networks are being built to facilitate automated information gathering in military, industrial, environmental and surveillance applications. Many such applications of Sensor Networks require improved QoS (packet delivery within a defined ... Keywords: QoS routing, Real-Time communication, Sensor networks

Abinash Mahapatra; Kumar Anand; Dharma P. Agrawal

2006-02-01T23:59:59.000Z

200

Evolving neural network using real coded genetic algorithm for permeability estimation of the reservoir  

Science Conference Proceedings (OSTI)

In this work we investigate how artificial neural network (ANN) evolution with genetic algorithm (GA) improves the reliability and predictability of artificial neural network. This strategy is applied to predict permeability of Mansuri Bangestan reservoir ... Keywords: Back propagation, Genetic algorithm, Neural network, Permeability, Reservoir, Well log data

Rasoul Irani; Reza Nasimi

2011-08-01T23:59:59.000Z

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


201

An Interested-based Architecture for Peer-to-Peer Network Systems  

Science Conference Proceedings (OSTI)

Improving search performance is an important issue in peer-to-peer (P2P) network systems. Although Distributed Hash Tables (DHTs) route queries more efficiently than flooding does, it's complicated for DHTs to support keyword-based searches. Emerging ... Keywords: overlay networks, peer-to-peer networks,Interest groups

Wen-Tsuen Chen; Chi-Hong Chao; Jeng-Long Chiang

2006-04-01T23:59:59.000Z

202

Controlled and self-organized routing for large-scale wireless sensor networks  

Science Conference Proceedings (OSTI)

Improving the scalability and robustness of wireless sensor networks is an important task, and much research on self-organization has been conducted toward this end. However, desired behavior is not yet guaranteed in much larger networks based on pure ... Keywords: Self-organization, controlled self-organization, robustness, scalability, wireless sensor networks

Daichi Kominami, Masashi Sugano, Masayuki Murata, Takaaki Hatauchi

2013-11-01T23:59:59.000Z

203

Wireless networking security: open issues in trust, management, interoperation and measurement  

Science Conference Proceedings (OSTI)

The pervasive availability and wide usage of wireless networks with different kinds of topologies, techniques and protocol suites have brought with them a need to improve security mechanisms. The design, development and evaluation of security techniques ... Keywords: interoperation, management, measurement, network security, open security, trust, wireless networks, wireless security

Joseph B. Evans; Weichao Wang; Benjamin J. Ewy

2006-09-01T23:59:59.000Z

204

Network Routing Capacity  

E-Print Network (OSTI)

We define the routing capacity of a network to be the supremum of all possible fractional message throughputs achievable by routing. We prove that the routing capacity of every network is achievable and rational, we present an algorithm for its computation, and we prove that every non-negative rational number is the routing capacity of some network. We also determine the routing capacity for various example networks. Finally, we discuss the extension of routing capacity to fractional coding solutions and show that the coding capacity of a network is independent of the alphabet used.

Jillian Cannons; Randall Dougherty; Christopher Freiling; Kenneth Zeger

2005-01-01T23:59:59.000Z

205

Network Characterization Service (NCS)  

Science Conference Proceedings (OSTI)

Distributed applications require information to effectively utilize the network. Some of the information they require is the current and maximum bandwidth, current and minimum latency, bottlenecks, burst frequency, and congestion extent. This type of information allows applications to determine parameters like optimal TCP buffer size. In this paper, we present a cooperative information-gathering tool called the network characterization service (NCS). NCS runs in user space and is used to acquire network information. Its protocol is designed for scalable and distributed deployment, similar to DNS. Its algorithms provide efficient, speedy and accurate detection of bottlenecks, especially dynamic bottlenecks. On current and future networks, dynamic bottlenecks do and will affect network performance dramatically.

Jin, Guojun; Yang, George; Crowley, Brian; Agarwal, Deborah

2001-06-06T23:59:59.000Z

206

Networks in Cognitive Science  

E-Print Network (OSTI)

Networks of interconnected nodes have long played a key role in cognitive science, from artificial neural networks to spreading activation models of semantic memory. Recently, however, a new Network Science has been developed, providing insights into the emergence of global, system-scale properties in contexts as diverse as the Internet, metabolic reactions or collaborations among scientists. Today, the inclusion of network theory into cognitive sciences, and the expansion of complex systems science, promises to significantly change the way in which the organization and dynamics of cognitive and behavioral processes are understood. In this paper, we review recent contributions of network theory at different levels and domains within the cognitive sciences.

Baronchelli, Andrea; Pastor-Satorras, Romualdo; Chater, Nick; Christiansen, Morten H

2013-01-01T23:59:59.000Z

207

Evaluating The Performance Of Mobile Agents In Network Management  

E-Print Network (OSTI)

Currently, most network management systems are centralized and therefore, they can not scale when the size or the complexity of the network increases. This paper aims to investigate mobile agent scalability in network management, in order to nd when mobile agents improve the management efficiency. We compare mobile agent performance with SNMP one in several simulations. Results show that the mobile agent performs better when the number of managed network elements ranges between two bounds and that the mobile agent is less sensitive to changes on a general topology.

Marcelo Gonçalves Rubinstein; Otto Carlos Muniz Bandeira Duarte; Marcelo Gon#alves Rubinstein; Otto Carlos Muniz B; Eira Duarte

1999-01-01T23:59:59.000Z

208

A New Microcontroller-Based Human Brain Hypothermia System  

Science Conference Proceedings (OSTI)

Many studies show that artificial hypothermia of brain in conditions of anesthesia with the rectal temperature lowered down to 33¿C produces pronounced prophylactic effect protecting the brain from anoxia. Out of the methods ... Keywords: brain hypothermia, microcontroller, thermoelectric cooler

Metin Kapidere; Ra?it Ahiska; ?nan Güler

2005-10-01T23:59:59.000Z

209

Using statistical information to improve communication in MIMO networks  

E-Print Network (OSTI)

channel reciprocity. In FDD systems, this technique stillare close [7]. However, in FDD systems where the uplink andSuch feedback can be used in FDD systems where the transmit

Ghosh, Sagnik

2012-01-01T23:59:59.000Z

210

Automatic Clouds Observation Improved by an Artificial Neural Network  

Science Conference Proceedings (OSTI)

This paper refers to a project aimed at building a device able to generate fully automatic meteorological weather reports (METAR) during the night at Swiss airports. Such reports include the description of sky conditions, namely, the heights and ...

Frédéric Aviolat; Thierry Cornu; Daniel Cattani

1998-02-01T23:59:59.000Z

211

Improving Robust Rolling Stock Circulation in Rapid Transit Networks  

E-Print Network (OSTI)

Aug 31, 2011 ... to undergo different types of maintenance checks and robustness ... of train services' RS assignment, empty trains, the optimal management of.

212

Wireless Sensor Network for Improving the Energy Efficiency of...  

NLE Websites -- All DOE Office Websites (Extended Search)

032012 Publisher Lawrence Berkeley National Laboratory City Berkeley Keywords data center, energy efficiency, energy efficiency of data, Wireless sensor, Wireless sensor...

213

Improving the efficiency of research and development using belief networks  

E-Print Network (OSTI)

Within the past thirty years, the U.S. government has spent over three trillion dollars supporting research and development projects across its various federal agencies. There is a considerable, long-standing need to ...

Yost, Keith A

2009-01-01T23:59:59.000Z

214

AFRICAN AGRICULTURAL TECHNOLOGY FOUNDATION NETWORK FOR THE GENETIC IMPROVEMENT OF  

E-Print Network (OSTI)

Production and Utilization, a Cowpea Stakeholders Workshop was organized at the M Plaza Hotel in Accra Ghana IN AFRICA Report of Cowpea Stakeholders Workshop on February 10 ­ 12, 2004 M Plaza Hotel, Accra, Ghana AAA Workshop, M Plaza Hotel , Accra Ghana. February 10 ­ 12, 2004 #12;3 Contents List of Abbreviations

Ginzel, Matthew

215

Increasing coverage to improve detection of network and host anomalies  

E-Print Network (OSTI)

For intrusion detection, the LERAD algorithm learns a succinct set of comprehensible rules for detecting anomalies, which could be novel attacks. LERAD validates the learned rules on a separate held-out validation set and removes rules that cause false alarms. However, removing rules with possible high coverage can lead to missed detections. We propose three techniques for increasing coverage- Weighting, Replacement and Hybrid. Weighting retains previously pruned rules and associate weights to them. Replacement, on the other hand, substitutes pruned rules with other candidate rules to ensure high coverage. We also present a Hybrid approach that selects between the two techniques based on training data coverage. Empirical results from seven data sets indicate that, for LERAD, increasing coverage by Weighting, Replacement and Hybrid detects more attacks than Pruning with minimal computational overhead.

Gaurav Tandon; Philip K. Chan

2007-01-01T23:59:59.000Z

216

Energy Sciences Network (ESnet)  

NLE Websites -- All DOE Office Websites

ESnet ESnet ESnet ESnet ESnet ESnet » MyESnet search... Go Home Network Overview Tools Peering Information Interactive Network Map Network Maps Connected Sites Services Overview ECS Audio/Video Conferencing Fasterdata IPv6 Network Network Performance Tools (perfSONAR) ESnet OID Registry PGP Key Service Virtual Circuits (OSCARS) DOE Grids Service Transition R&D Overview 100G Testbed Virtual Circuits (OSCARS) Performance (perfSONAR) Tools Development Green Networking Authentication & Trust Federation (ATF) Partnerships News & Publications ESnet in the News ESnet News Publications and Presentations Galleries ESnet Awards and Honors About ESnet Overview ESnet Staff Governance Our Network Case Studies ESnet Strategic Plan ESnet Organizational Chart ESnet History Science Requirements Careers Contact Us

217

Network topology analysis.  

SciTech Connect

Emerging high-bandwidth, low-latency network technology has made network-based architectures both feasible and potentially desirable for use in satellite payload architectures. The selection of network topology is a critical component when developing these multi-node or multi-point architectures. This study examines network topologies and their effect on overall network performance. Numerous topologies were reviewed against a number of performance, reliability, and cost metrics. This document identifies a handful of good network topologies for satellite applications and the metrics used to justify them as such. Since often multiple topologies will meet the requirements of the satellite payload architecture under development, the choice of network topology is not easy, and in the end the choice of topology is influenced by both the design characteristics and requirements of the overall system and the experience of the developer.

Kalb, Jeffrey L.; Lee, David S.

2008-01-01T23:59:59.000Z

218

Monthly streamflow forecasting based on improved support vector machine model  

Science Conference Proceedings (OSTI)

To improve the performance of the support vector machine (SVM) model in predicting monthly streamflow, an improved SVM model with adaptive insensitive factor is proposed in this paper. Meanwhile, considering the influence of noise and the disadvantages ... Keywords: Adaptive insensitive factor, Artificial neural network, Chaos and phase-space reconstruction theory, Streamflow forecast, Support vector machine, Wavelet

Jun Guo; Jianzhong Zhou; Hui Qin; Qiang Zou; Qingqing Li

2011-09-01T23:59:59.000Z

219

Brain dynamics promotes function Carlos Lourenco  

E-Print Network (OSTI)

dynamics? At this point in brain research, we are happy if we can at least provide a partial answer. Key. Natural scientists look for correlations between measured electrical signals and behavior or mental states by considering the so-called dynamical complex- ity as revealed e.g. by the measurement of the brain's electrical

220

Brain---computer interfaces for space applications  

Science Conference Proceedings (OSTI)

Recent experiments have shown the possibility to use the brain electrical activity to directly control the movement of robots. Such a kind of brain---computer interface is a natural way to augment human capabilities by providing a new interaction link ... Keywords: Astronauts, BCI, Space operations

Cristina Negueruela; Michael Broschart; Carlo Menon; José R. Millán

2011-06-01T23:59:59.000Z

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


221

Fuzzy neural network pattern recognition algorithm for classification of the events in power system networks  

E-Print Network (OSTI)

This dissertation introduces advanced artificial intelligence based algorithm for detecting and classifying faults on the power system transmission line. The proposed algorithm is aimed at substituting classical relays susceptible to possible performance deterioration during variable power system operating and fault conditions. The new concept relies on a principle of pattern recognition and detects the existence of the fault, identifies fault type, and estimates the transmission line faulted section. The approach utilizes self-organized, Adaptive Resonance Theory (ART) neural network, combined with fuzzy decision rule for interpretation of neural network outputs. Neural network learns the mapping between inputs and desired outputs through processing a set of example cases. Training of the neural network is based on the combined use of unsupervised and supervised learning methods. During training, a set of input events is transformed into a set of prototypes of typical input events. During application, real events are classified based on the interpretation of their matching to the prototypes through fuzzy decision rule. This study introduces several enhancements to the original version of the ART algorithm: suitable preprocessing of neural network inputs, improvement in the concept of supervised learning, fuzzyfication of neural network outputs, and utilization of on-line learning. A selected model of an actual power network is used to simulate extensive sets of scenarios covering a variety of power system operating conditions as well as fault and disturbance events. Simulation results show improved recognition capabilities compared to a previous version of ART neural network algorithm, Multilayer Perceptron (MLP) neural network algorithm, and impedance based distance relay. Simulation results also show exceptional robustness of the novel ART algorithm for all operating conditions and events studied, as well as superior classification capabilities compared to the other solutions. Consequently, it is demonstrated that the proposed ART solution may be used for accurate, high-speed distinction among faulted and unfaulted events, and estimation of fault type and fault section.

Vasilic, Slavko

2006-05-01T23:59:59.000Z

222

2012 Special Issue: Neural networks and the experience and cultivation of mind  

Science Conference Proceedings (OSTI)

Hard core neural network research includes development of mathematical models of cognitive prediction and optimization aimed at dual use, both as models of what we see in brain circuits and behavior, and as useful general-purpose engineering technology. ... Keywords: Backpropagation, Cognitive optimization, Creativity, Human potential, Mirror neurons, Qi

Paul J. Werbos

2012-08-01T23:59:59.000Z

223

A Network Analysis Approach to fMRI Condition-Specific Functional Connectivity  

E-Print Network (OSTI)

In this work we focus on examination and comparison of whole-brain functional connectivity patterns measured with fMRI across experimental conditions. Direct examination and comparison of condition-specific matrices is challenging due to the large number of elements in a connectivity matrix. We present a framework that uses network analysis to describe condition-specific functional connectivity. Treating the brain as a complex system in terms of a network, we extract the most relevant connectivity information by partitioning each network into clusters representing functionally connected brain regions. Extracted clusters are used as features for predicting experimental condition in a new data set. The approach is illustrated on fMRI data examining functional connectivity patterns during processing of abstract and concrete concepts. Topological (brain regions) and functional (level of connectivity and information flow) systematic differences in the ROI-based functional networks were identified across participants for concrete and abstract concepts. These differences were sufficient for classification of previously unseen connectivity matrices as abstract or concrete based on training data derived from other people.

Svetlana V. Shinkareva; Vladimir Gudkov; Jing Wang

2010-08-03T23:59:59.000Z

224

Energy efficiency in wireless networks  

E-Print Network (OSTI)

Energy is a critical resource in the design of wireless networks since wireless devices are usually powered by batteries. Battery capacity is finite and the progress of battery technology is very slow, with capacity expected to make little improvement in the near future. Under these conditions, many techniques for conserving power have been proposed to increase battery life. In this dissertation we consider two approaches to conserving the energy consumed by a wireless network interface. One technique is to use power saving mode, which allows a node to power off its wireless network interface (or enter a doze state) to reduce energy consumption. The other is to use a technique that suitably varies transmission power to reduce energy consumption. These two techniques are closely related to theMAC (Medium Access Control) layer. With respect to power saving mode, we study IEEE 802.11 PSM (Power Saving Mechanism) and propose a scheme that improves its energy efficiency. We also investigate the interaction between power saving mode and TCP (Transport Control Protocol). As a second approach to conserving energy, we investigate a simple power control protocol, called BASIC, which uses the maximum transmission power for RTS-CTS and the minimum necessary power for DATA-ACK. We identify the deficiency of BASIC, which increases collisions and degrades network throughput, and propose a power control protocol that addresses these problems and achieves energy savings. Since energy conservation is not an issue limited to one layer of the protocol stack, we study a cross layer design that combines power control at the MAC layer and power aware routing at the network layer. One poweraware routing metric is minimizing the aggregate transmission power on a path from source to destination. This metric has been used along with BASIC-like power control under the assumption that it can save energy, which we show to be false. Also, we show that the power aware routing metric leads to a lower throughput. We show that using the shortest number of hops in conjunction with BASIC-like power control conserves more energy than power aware routing with BASIC-like power control.

Jung, Eun-Sun

2005-08-01T23:59:59.000Z

225

Quantifying QoS requirements of network services: a cheat-proof framework  

Science Conference Proceedings (OSTI)

Despite all the efforts devoted to improving the QoS of networked multimedia services, the baseline for such improvements has yet to be defined. In other words, although it is well recognized that better network conditions generally yield better service ... Keywords: comparative analysis, crowdsourcing, method of limits, psychophysics, quality of experience

Kuan-Ta Chen; Chen-Chi Wu; Yu-Chun Chang; Chin-Laung Lei

2011-02-01T23:59:59.000Z

226

Diamondoids Improve Electron Emitters  

NLE Websites -- All DOE Office Websites (Extended Search)

Diamondoids Improve Electron Emitters Diamondoids Improve Electron Emitters Print Monday, 17 September 2012 12:02 Diamondoids are nanoparticles made of only a handful of carbon...

227

Intrusion detection and monitoring for wireless networks.  

SciTech Connect

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

Thomas, Eric D.; Van Randwyk, Jamie A.; Lee, Erik J.; Stephano, Amanda (Indiana University); Tabriz, Parisa (University of Illinois at Urbana-Champaign); Pelon, Kristen (Cedarville University); McCoy, Damon (University of Colorado, Boulder); Lodato, Mark (Lafayette College); Hemingway, Franklin (University of New Mexico); Custer, Ryan P.; Averin, Dimitry (Polytechnic University); Franklin, Jason (Carnegie Mellon University); Kilman, Dominique Marie

2005-11-01T23:59:59.000Z

228

Placement of network services in a sensor network  

Science Conference Proceedings (OSTI)

An important challenge in designing a wireless sensor network is to maximise the network's lifetime. In a hierarchical cluster-based network, a key design issue is the placement of cluster heads (data loggers) such that the total power ... Keywords: beacons, cluster heads, clustering, data loggers, energy conservation, sensor localisation, service placement, wireless networks, wireless sensor networks

Jennifer Yick; Gregory Pasternack; Biswanath Mukherjee; Dipak Ghosal

2006-02-01T23:59:59.000Z

229

Network load-aware content distribution in overlay networks  

Science Conference Proceedings (OSTI)

Massive content distribution on overlay networks stresses both the server and the network resources because of the large volumes of data, relatively high bandwidth requirement, and many concurrent clients. While the server limitation can be circumvented ... Keywords: Content distribution networks, Hypercube, Node selection, Overlay networks, Peer-to-peer networks, Server selection

Seung Chul Han; Ye Xia

2009-01-01T23:59:59.000Z

230

General network properties of friendship online social network  

Science Conference Proceedings (OSTI)

This paper explores visiting metrics and some of the more important general network properties of Fitcolab online social network (OSN). The wide array of statistics was explored in order to obtain general insight that will not only be useful by itself ... Keywords: online social networks, social network analysis, social networks

Haris Memic

2010-11-01T23:59:59.000Z

231

Unitizing worker expertise and maximizing the brain reward centers  

SciTech Connect

People are experts when it comes to the work they do; unfortunately their expertise is not utilized as frequently as it could be. More opportunities need to be provided that allow people to participate in the design of their work including: accident investigations, job planning, and process improvements. Many employers use some form of job hazard analysis process to identify and document hazards and controls, but the front line worker is rarely involved. This presentation will show the core principles supporting employee involvement, provide examples where workers had brilliant ideas but no one listened, and provide examples where workers were given the opportunity to use their expertise to improve occupational safety. According to Abraham Maslow's Hierarch of Needs model, one essential human need is to be innovative and solve problems. Advances in brain science have proven, through functional magnetic resonance imaging (fMRI) studies, the brain reward pathway is activated when people are recognized for their intellectual contributions. As people contribute their expertise to improve occupational safety more frequently they will feel a sense of gratification. In addition, safety professionals will have more time to spend on strategic planning of emerging occupational safety issues. One effect of the current global recession is that SH&E professionals are asked to do more with less. Therefore, to be successful it is essential that SH&E professionals incorporate worker expertise in job planning. This will be illustrated in the presentation through an example where a worker had the answer to a difficult decision on appropriate personal protective equipment for a job but no one asked the worker for his idea during the job planning phase. Fortunately the worker was eventually consulted and his recommendation for the appropriate personal protective equipment for the job was implemented before work began. The goal of this presentation is to expand the awareness and knowledge of SH&E professionals on the benefits and opportunities for leveraging brain science. This will include an overview of the components of the brain reward pathway and the biological mechanisms that make workers feel a sense of gratification when they contribute their ideas toward improving occupational safety. On-the-job examples where it is hypothesized that the brain reward pathway was activated in workers will be provided. Finally, the presentation will include a model illustrating the importance of empowering workers to participate in occupational safety programs. SH&E professionals can use this model to maintain a robust safety and health program with limited resources. The model will also help SH&E professionals prepare for challenges in the SH&E fields by showing them how to allocate more time for strategic planning of emerging issues. Many recent best selling business books such as Wikinomics, Crowdsourcing, and Sway, illustrate how the benefit of harnessing the collective knowledge of employees is a key to company success. Companies like Google and Pixar have mastered the ability to capture empFoyee knowledge in terms of technology. Why should occupational safety be any different? Workers know how to improve safety in their workplace. SH&E professionals can harness this collective safety knowledge just as top companies do with technology, and workers will feel grateful for contributing.

Martinez, Anthony Bert [Los Alamos National Laboratory

2010-01-01T23:59:59.000Z

232

Seven Deadliest Network Attacks  

Science Conference Proceedings (OSTI)

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.

Prowell, Stacy J [ORNL; Borkin, Michael [None; Kraus, Robert [Solutionary, Inc.

2010-05-01T23:59:59.000Z

233

Synchronization in Complex Oscillator Networks and Smart Grids  

SciTech Connect

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.

Dorfler, Florian [Los Alamos National Laboratory; Chertkov, Michael [Los Alamos National Laboratory; Bullo, Francesco [Center for Control, Dynamical Systems and Computation, University of California at Santa Babara, Santa Barbara CA

2012-07-24T23:59:59.000Z

234

Synchronization in Complex Oscillator Networks and Smart Grids  

E-Print Network (OSTI)

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.

Florian Dörfler; Michael Chertkov; Francesco Bullo

2012-07-31T23:59:59.000Z

235

Rooftop Unit Network Project  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

236

System and Network Management  

Science Conference Proceedings (OSTI)

This document covers Systems and Network Management Requirements and is the first deliverable in a joint EPRI and Utility User Project to develop Network Management capability for Electric Utility Automation Systems (UAS) using international communication standards such as IEC 61850. The management of substation automation systems is critical since tools are now based, for the most part, on proprietary hardware and software. In modern state-of-the art substations, traditional network management has ...

2012-12-20T23:59:59.000Z

237

Urban Networks Simulation Tools  

Science Conference Proceedings (OSTI)

Utilities that serve customers using networked secondary, or low-voltage, systems require that technologies be able to model the system and perform load flow and other circuit analyses on both the primary and the networked secondary. Utilities can use commercially available load flow products to model their radial systems, but many older products are unable to accurately model and perform analyses on meshed secondary network systems sourced from multiple primary feeders. Consequently, many utilities are ...

2010-03-31T23:59:59.000Z

238

Chinese Restaurant Game - Part II: Applications to Wireless Networking, Cloud Computing, and Online Social Networking  

E-Print Network (OSTI)

In Part I of this two-part paper [1], we proposed a new game, called Chinese restaurant game, to analyze the social learning problem with negative network externality. The best responses of agents in the Chinese restaurant game with imperfect signals are constructed through a recursive method, and the influence of both learning and network externality on the utilities of agents is studied. In Part II of this two-part paper, we illustrate three applications of Chinese restaurant game in wireless networking, cloud computing, and online social networking. For each application, we formulate the corresponding problem as a Chinese restaurant game and analyze how agents learn and make strategic decisions in the problem. The proposed method is compared with four common-sense methods in terms of agents' utilities and the overall system performance through simulations. We find that the proposed Chinese restaurant game theoretic approach indeed helps agents make better decisions and improves the overall system performan...

Wang, Chih-Yu; Liu, K J Ray

2011-01-01T23:59:59.000Z

239

Network design and defence  

E-Print Network (OSTI)

Goyal (2007), Jackson (2008) and Vega-Redondo (2007).3 A key issue is the robustness of networks to different types of shocks – natural and man made. This subject is relatively little studied. The contribution of our paper is to build on a classical... by the Designer must be connected. Observe that connectedness of the residual network can be guaranteed by a star network with 1 unit of defence assigned to the centre. This protected network has minimal number of links across all connected net- works and minimal...

Dziubi?ski, Marcin; Goyal, Sanjeev

2013-01-10T23:59:59.000Z

240

BER Science Network Requirements  

E-Print Network (OSTI)

Department of Energy, Office of Science, Office of Advancedthe Directors of the Office of Science, Office of AdvancedResearch, DOE Office of Science Energy Sciences Network

Dart, Eli

2011-01-01T23:59:59.000Z

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


241

Green Networking Initiative  

NLE Websites -- All DOE Office Websites (Extended Search)

voracious. Supercomputers and data centers are on track to reducing power consumption, but shrinking the carbon footprint of the decentralized networks that connect them...

242

Modeling Mine Mesh Networks  

Science Conference Proceedings (OSTI)

... is required beyond the powered UHF mesh ... OPNET simulation tool will be network performance metrics ... throughput, delay, and packet loss ratio for ...

2010-10-05T23:59:59.000Z

243

Smart Grid Communication Networks  

Science Conference Proceedings (OSTI)

... ITL staff led the evaluation of networking technologies for Smart Grid communication applications. ITL's staff lead the SGIP Priority Action Plans ...

2013-04-29T23:59:59.000Z

244

Mission Critical Networking  

SciTech Connect

Mission-Critical Networking (MCN) refers to networking for application domains where life or livelihood may be at risk. Typical application domains for MCN include critical infrastructure protection and operation, emergency and crisis intervention, healthcare services, and military operations. Such networking is essential for safety, security and economic vitality in our complex world characterized by uncertainty, heterogeneity, emergent behaviors, and the need for reliable and timely response. MCN comprise networking technology, infrastructures and services that may alleviate the risk and directly enable and enhance connectivity for mission-critical information exchange among diverse, widely dispersed, mobile users.

Eltoweissy, Mohamed Y.; Du, David H.C.; Gerla, Mario; Giordano, Silvia; Gouda, Mohamed; Schulzrinne, Henning; Youssef, Moustafa

2010-06-01T23:59:59.000Z

245

Computations within Bayesian networks.  

E-Print Network (OSTI)

??A Bayesian network is a probabilistic model that relates random variables and their conditional dependency statements. The model uses a directed acyclical graph (DAG) that… (more)

Holland, Jeffrey David

2013-01-01T23:59:59.000Z

246

Legacy - Neural Networks  

Science Conference Proceedings (OSTI)

... "Massively Parallel Implementation of Neural Network Architectures," In Proceedings of the SPIE, volume 1452, pages 532-543, Feb. 25 - Mar. ...

2011-05-12T23:59:59.000Z

247

Software Defined Networking for  

NLE Websites -- All DOE Office Websites (Extended Search)

over optical, routed or switched network elements * OpenFlow support needed on edge devices only, core stays same * Programmability for applications * Allows end-sites to...

248

ASCR Science Network Requirements  

E-Print Network (OSTI)

ASCR Program Office) Brent Draney, NERSC (Networking andSecurity) Richard Gerber, NERSC (User Services) Mike Helm,DOEGrids/PKI) Jason Hick, NERSC (Storage) Susan Hicks,

Dart, Eli

2010-01-01T23:59:59.000Z

249

ASCR Science Network Requirements  

E-Print Network (OSTI)

Office of Advanced Scientific Computing Research NetworkOffice of Advanced Scientific Computing Research, DOE OfficeOffice of Advanced Scientific Computing Research (ASCR).

Dart, Eli

2010-01-01T23:59:59.000Z

250

Improving supply chain resilience  

E-Print Network (OSTI)

Due to the global expansion of Company A's supply chain network, it is becoming more vulnerable to many disruptions. These disruptions often incur additional costs; and require time to respond to and recover from these ...

Leung, Elsa Hiu Man

2009-01-01T23:59:59.000Z

251

Precision Irrigators Network  

E-Print Network (OSTI)

Identifying best management practices (BMPs) promoting greater water use efficiency while maintaining crop yields is essential to the future of Texas cropping systems. Available water for irrigated crops is vital for sustaining crop production throughout the state. However, the availability of this water for irrigation is diminishing through competition by urban development and, in some regions such as the Edwards Aquifer, is falling under state regulation. The awareness and improvement of efficient irrigation and best management practices to conserve water while maintaining crop production will help preserve the aquifer levels and increase water savings to producers. One component of BMPs for conserving water use is the application of decision support systems (DSS) that are used as tools for implementing irrigation BMPs. This DSS guide was developed as a complement to TWDB Report 362, "Water Conservation Best Management Practices Guide," which is a more comprehensive report on water conservation including an "Agricultural Irrigation Water Use Management" BMPs section. The full TWDB Report 362 can be found at: http://www.twdb.state.tx.us/assistance/conservation/consindex.asp. DSS include the Texas High Plains Evapotranspiration Network (TXHPET), the Precision Irrigators Network (PIN) and the Crop Production Management (CroPMan) model. These DSS strive to promote grower awareness of water conservation strategies. Irrigation conservation strategies are proposed to result in savings of approximately 1.4 million acre-feet per year by 2060 (TWDB and TWRI). TXHPET operates 18 meteorological stations located in 15 counties across the Texas North Plains and Texas South Plains. The regional coverage of TXHPET is estimated at 4 million irrigated acres. The network offers insight to evapotranspiration (ET)-based crop water use that producers and agricultural consultants can reference when making decisions on when and how much to irrigate their crops. This information is available to data users via fax or online (http://txhighplainset.tamu.edu) and currently results in approximately 300,000 downloads or faxes annually. The PIN program was formed in 2004 with a goal of saving millions of gallons of water annually by reducing irrigation water use by as much as 20 percent over several years and currently supports several crops (corn, cotton, sorghum, wheat) in seven counties of South Central Texas. Cooperation of the PIN programs consists of area producers, Texas Agricultural Experiment Station researchers, Texas Cooperative Extension personnel, San Antonio Water System, Edwards Aquifer Authority, Texas Water Resources Institute, Texas Water Development Board, Uvalde County Underground Water Conservation District and Wintergarden Water Conservation District. The PIN database will allow producers to gain historical and real-time information for better management of irrigation scheduling. The PIN program estimates that when all irrigators in the Edwards Aquifer region implement limited irrigation scheduling, approximately 50,000 to 60,000 acre-feet of water can be saved per year and made available for purposes other than agriculture. CroPMan is a computer model designed to aid producers and agricultural consultants in optimizing crop management and maximizing production and profit through a production-risk approach. CroPMan will help growers identify limitations to crop yield, assist in making replant decisions and help recognize management practices that reduce the impact of agriculture on soil erosion and water quality. CroPMan is a Windows-based application program that can be downloaded from the CroPMan Web site (http://cropman.brc.tamus.edu).

Bynum, J.; Cothren, T.; Marek, T.; Piccinni, G.

2007-08-01T23:59:59.000Z

252

On the capacity of network coding for random networks  

E-Print Network (OSTI)

d ) , the network NC coding capacity C s;t ; ;t > (1 0 )8, AUGUST 2005 On the Capacity of Network Coding for Randomthat the network coding capacity concentrates around the

Ramamoorthy, A; Shi, J; Wesel, R D

2005-01-01T23:59:59.000Z

253

More Clues About Obesity From Brain Imaging  

NLE Websites -- All DOE Office Websites (Extended Search)

June 20, 2002 June 20, 2002 Electronic newsroom 02-51 More Clues About Obesity Revealed by Brain-Imaging Study UPTON, NY — The idea that obese people eat too much because they find food more palatable than lean people do has gained support from a new brain-imaging study at the U.S. Department of Energy’s Brookhaven National Laboratory. The study reveals that the parts of the brain responsible for sensation in the mouth, lips, and tongue are more active in obese people than in normal-weight control subjects. “This enhanced activity in brain regions involved with sensory processing of food could make obese people more sensitive to the rewarding properties of food, and could be one of the reasons they overeat,” said Brookhaven physician Gene-Jack Wang, lead author of the study.

254

Visualizing Brain Metals in Health and Disease  

NLE Websites -- All DOE Office Websites (Extended Search)

Visualizing Brain Metals in Health and 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 zinc for normal brain function but metal metabolism becomes dysregulated in a variety of neurodegenerative diseases. Metals accumulate in Alzheimer's dementia and Parkinson's disease and are deficient in Menkes disease. Whether excess metals appear as a cause or a

255

Nanotools for Neuroscience and Brain Activity Mapping  

E-Print Network (OSTI)

Neuroscience is at a crossroads. Great effort is being invested into deciphering specific neural interactions and circuits. At the same time, there exist few general theories or principles that explain brain function. We ...

Alivisatos, A. Paul

256

Encoding Probabilistic Brain Atlases Using Bayesian Inference  

E-Print Network (OSTI)

This paper addresses the problem of creating probabilistic brain atlases from manually labeled training data. Probabilistic atlases are typically constructed by counting the relative frequency of occurrence of labels in ...

Van Leemput, Koen

257

Tampa Electric Neural Network Sootblowing  

Science Conference Proceedings (OSTI)

Boiler combustion dynamics change continuously due to several factors including coal quality, boiler loading, ambient conditions, changes in slag/soot deposits and the condition of plant equipment. NOx formation, Particulate Matter (PM) emissions, and boiler thermal performance are directly affected by the sootblowing practices on a unit. As part of its Power Plant Improvement Initiative program, the US DOE is providing cofunding (DE-FC26-02NT41425) and NETL is the managing agency for this project at Tampa Electric's Big Bend Station. This program serves to co-fund projects that have the potential to increase thermal efficiency and reduce emissions from coal-fired utility boilers. A review of the Big Bend units helped identify intelligent sootblowing as a suitable application to achieve the desired objectives. The existing sootblower control philosophy uses sequential schemes, whose frequency is either dictated by the control room operator or is timed based. The intent of this project is to implement a neural network based intelligent sootblowing system, in conjunction with state-of-the-art controls and instrumentation, to optimize the operation of a utility boiler and systematically control boiler fouling. Utilizing unique, on-line, adaptive technology, operation of the sootblowers can be dynamically controlled based on real-time events and conditions within the boiler. This could be an extremely cost-effective technology, which has the ability to be readily and easily adapted to virtually any pulverized coal fired boiler. Through unique on-line adaptive technology, Neural Network-based systems optimize the boiler operation by accommodating equipment performance changes due to wear and maintenance activities, adjusting to fluctuations in fuel quality, and improving operating flexibility. The system dynamically adjusts combustion setpoints and bias settings in closed-loop supervisory control to simultaneously reduce NO{sub x} emissions and improve heat rate around the clock.

Mark A. Rhode

2004-09-30T23:59:59.000Z

258

Tampa Electric Neural Network Sootblowing  

Science Conference Proceedings (OSTI)

Boiler combustion dynamics change continuously due to several factors including coal quality, boiler loading, ambient conditions, changes in slag/soot deposits and the condition of plant equipment. NO{sub x} formation, Particulate Matter (PM) emissions, and boiler thermal performance are directly affected by the sootblowing practices on a unit. As part of its Power Plant Improvement Initiative program, the US DOE is providing cofunding (DE-FC26-02NT41425) and NETL is the managing agency for this project at Tampa Electric's Big Bend Station. This program serves to co-fund projects that have the potential to increase thermal efficiency and reduce emissions from coal-fired utility boilers. A review of the Big Bend units helped identify intelligent sootblowing as a suitable application to achieve the desired objectives. The existing sootblower control philosophy uses sequential schemes, whose frequency is either dictated by the control room operator or is timed based. The intent of this project is to implement a neural network based intelligent soot-blowing system, in conjunction with state-of-the-art controls and instrumentation, to optimize the operation of a utility boiler and systematically control boiler fouling. Utilizing unique, on-line, adaptive technology, operation of the sootblowers can be dynamically controlled based on real-time events and conditions within the boiler. This could be an extremely cost-effective technology, which has the ability to be readily and easily adapted to virtually any pulverized coal fired boiler. Through unique on-line adaptive technology, Neural Network-based systems optimize the boiler operation by accommodating equipment performance changes due to wear and maintenance activities, adjusting to fluctuations in fuel quality, and improving operating flexibility. The system dynamically adjusts combustion setpoints and bias settings in closed-loop supervisory control to simultaneously reduce NO{sub x} emissions and improve heat rate around the clock.

Mark A. Rhode

2003-12-31T23:59:59.000Z

259

Tampa Electric Neural Network Sootblowing  

Science Conference Proceedings (OSTI)

Boiler combustion dynamics change continuously due to several factors including coal quality, boiler loading, ambient conditions, changes in slag/soot deposits and the condition of plant equipment. NOx formation, Particulate Matter (PM) emissions, and boiler thermal performance are directly affected by the sootblowing practices on a unit. As part of its Power Plant Improvement Initiative program, the US DOE is providing co-funding (DE-FC26-02NT41425) and NETL is the managing agency for this project at Tampa Electric's Big Bend Station. This program serves to co-fund projects that have the potential to increase thermal efficiency and reduce emissions from coal-fired utility boilers. A review of the Big Bend units helped identify intelligent sootblowing as a suitable application to achieve the desired objectives. The existing sootblower control philosophy uses sequential schemes, whose frequency is either dictated by the control room operator or is timed based. The intent of this project is to implement a neural network based intelligent sootblowing system, in conjunction with state-of-the-art controls and instrumentation, to optimize the operation of a utility boiler and systematically control boiler fouling. Utilizing unique, on-line, adaptive technology, operation of the sootblowers can be dynamically controlled based on real-time events and conditions within the boiler. This could be an extremely cost-effective technology, which has the ability to be readily and easily adapted to virtually any pulverized coal fired boiler. Through unique on-line adaptive technology, Neural Network-based systems optimize the boiler operation by accommodating equipment performance changes due to wear and maintenance activities, adjusting to fluctuations in fuel quality, and improving operating flexibility. The system dynamically adjusts combustion setpoints and bias settings in closed-loop supervisory control to simultaneously reduce NO{sub x} emissions and improve heat rate around the clock.

Mark A. Rhode

2004-03-31T23:59:59.000Z

260

Building A Science DMZ Eli Dart, Network Engineer ESnet Network...  

NLE Websites -- All DOE Office Websites (Extended Search)

A Science DMZ Eli Dart, Network Engineer ESnet Network Engineering Group Joint Techs, Winter 2013 Honolulu, HI January 13, 2013 Lawrence Berkeley National Laboratory U.S....

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


261

Attacking the Kad network  

Science Conference Proceedings (OSTI)

The Kad network, an implementation of the Kademlia DHT protocol, supports the popular eDonkey peer-to-peer file sharing network and has over 1 million concurrent nodes. We describe several attacks that exploit critical design weaknesses in Kad to allow ... Keywords: Kad, P2P, attack, security

Peng Wang; James Tyra; Eric Chan-Tin; Tyson Malchow; Denis Foo Kune; Nicholas Hopper; Yongdae Kim

2008-09-01T23:59:59.000Z

262

Evolving neural networks  

Science Conference Proceedings (OSTI)

Neuroevolution, i.e. evolution of artificial neural networks, has recently emerged as a powerful technique for solving challenging reinforcement learning problems. Compared to traditional (e.g. value-function based) methods, neuroevolution is especially ... Keywords: evolutionary computation, hyperneat, neat, neural networks, neuroevolution

Kenneth O. Stanley

2012-07-01T23:59:59.000Z

263

Neural networks in astronomy  

Science Conference Proceedings (OSTI)

In the last decade, the use of neural networks (NN) and of other soft computing methods has begun to spread also in the astronomical community which, due to the required accuracy of the measurements, is usually reluctant to use automatic tools to perform ... Keywords: Bayesian learning, MLP, MUSIC, PCA, astronomy, data mining, neural networks, self-organizing maps

Roberto Tagliaferri; Giuseppe Longo; Leopoldo Milano; Fausto Acernese; Fabrizio Barone; Angelo Ciaramella; Rosario De Rosa; Ciro Donalek; Antonio Eleuteri; Giancarlo Raiconi; Salvatore Sessa; Antonino Staiano; Alfredo Volpicelli

2003-04-01T23:59:59.000Z

264

Network Cabling Handbook  

Science Conference Proceedings (OSTI)

From the Publisher:This is a one-stop guide to both copper and fiber network cabling. Contains detailed coverage of monitoring software,connectivity troubleshooting,and management techniques. Master the art of wiring your network Plan,design,and build ...

Chris Clark

2001-11-01T23:59:59.000Z

265

Miniaturized wireless sensor network  

E-Print Network (OSTI)

This paper addresses an overview of the wireless sensor networks. It is shown that MEMS/NEMS technologies and SIP concept are well suited for advanced architectures. It is also shown analog architectures have to be compatible with digital signal techniques to develop smart network of microsystem.

Lecointre, Aubin; Dubuc, David; Katia, Grenier; Patrick, Pons; Aubert, Hervé; Muller, A; Berthou, Pascal; Gayraud, Thierry; Plana, Robert

2010-01-01T23:59:59.000Z

266

Networked Aquatic Sampling System  

E-Print Network (OSTI)

system for field operation • Wireless 802.11b based networkOperation • Continuous real time data acquisition and logging of pertinent environmental parameters • WirelessOperation • Network of 10 static nodes and 1 robotic boat • AODV based ad-hoc 802.11b wireless

2005-01-01T23:59:59.000Z

267

Spatial network modeling for databases  

Science Conference Proceedings (OSTI)

Spatial networks like transportation, power, and pipeline networks are a ubiquitous spatial concept in everyday life and play an important role for navigational and routing purposes. Database support for large spatial networks in order to represent, ...

Virupaksha Kanjilal; Markus Schneider

2011-03-01T23:59:59.000Z

268

BER Science Network Requirements  

NLE Websites -- All DOE Office Websites (Extended Search)

Network Network Requirements Report of the Biological and Environmental Research Network Requirements Workshop Conducted July 26 and 27, 2007 BER Science Network Requirements Workshop Biological and Environmental Research Program Office, DOE Office of Science Energy Sciences Network Bethesda, MD - July 26 and 27, 2007 ESnet is funded by the US Dept. of Energy, Office of Science, Advanced Scientific Computing Research (ASCR) program. Dan Hitchcock is the ESnet Program Manager. ESnet is operated by Lawrence Berkeley National Laboratory, which is operated by the University of California for the US Department of Energy under contract DE-AC02-05CH11231. This work was supported by the Directors of the Office of Science, Office of Advanced Scientific Computing Research, Facilities Division, and the Office of Biological &

269

Improving Relocatable Classroom HVAC For Improved IEQ And Energy...  

NLE Websites -- All DOE Office Websites (Extended Search)

Improving Relocatable Classroom HVAC For Improved IEQ And Energy Efficiency Title Improving Relocatable Classroom HVAC For Improved IEQ And Energy Efficiency Publication Type...

270

Delayed switching applied to memristor neural networks  

Science Conference Proceedings (OSTI)

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.

Wang, Frank Z.; Yang Xiao; Lim Guan [Future Computing Group, School of Computing, University of Kent, Canterbury (United Kingdom); Helian Na [School of Computer Science, University of Hertfordshire, Hatfield (United Kingdom); Wu Sining [Xyratex, Havant (United Kingdom); Guo Yike [Department of Computing, Imperial College, London (United Kingdom); Rashid, Md Mamunur [CERN, Geneva (Switzerland)

2012-04-01T23:59:59.000Z

271

The Price of Anarchy in Transportation Networks  

E-Print Network (OSTI)

Uncoordinated individuals in human society pursuing their personally optimal strategies do not always achieve the social optimum, the most beneficial state to the society as a whole. Instead, strategies form Nash equilibria, which are, in general, socially suboptimal. Society, therefore, has to pay a price of anarchy for the lack of coordination among its members, which is often difficult to quantify in engineering, economics and policymaking. Here we report on an assessment of this price of anarchy by analyzing the road networks of Boston, London, and New York as well as complex model networks, where one's travel time serves as the relevant cost to be minimized. Our simulation shows that uncoordinated drivers possibly spend up to 30% more time than they would in socially optimal traffic, which leaves substantial room for improvement. Counterintuitively, simply blocking certain streets can partially improve the traffic condition to a measurable extent based on our result.

Youn, Hyejin; Jeong, Hawoong

2007-01-01T23:59:59.000Z

272

Nuclear mass systematics using neural networks  

E-Print Network (OSTI)

New global statistical models of nuclidic (atomic) masses based on multilayered feedforward networks are developed. One goal of such studies is to determine how well the existing data, and only the data, determines the mapping from the proton and neutron numbers to the mass of the nuclear ground state. Another is to provide reliable predictive models that can be used to forecast mass values away from the valley of stability. Our study focuses mainly on the former goal and achieves substantial improvement over previous neural-network models of the mass table by using improved schemes for coding and training. The results suggest that with further development this approach may provide a valuable alternative to conventional global models.

Athanassopoulos, S; Gernoth, K A; Clark, J W

2003-01-01T23:59:59.000Z

273

Nuclear mass systematics using neural networks  

E-Print Network (OSTI)

New global statistical models of nuclidic (atomic) masses based on multilayered feedforward networks are developed. One goal of such studies is to determine how well the existing data, and only the data, determines the mapping from the proton and neutron numbers to the mass of the nuclear ground state. Another is to provide reliable predictive models that can be used to forecast mass values away from the valley of stability. Our study focuses mainly on the former goal and achieves substantial improvement over previous neural-network models of the mass table by using improved schemes for coding and training. The results suggest that with further development this approach may provide a valuable complement to conventional global models.

S. Athanassopoulos; E. Mavrommatis; K. A. Gernoth; J. W. Clark

2003-07-31T23:59:59.000Z

274

Factory Equipment Network Testing Framework  

Science Conference Proceedings (OSTI)

... and analyses for industrial networks that can provide figures of merit for real-time networking properties, similar to vehicle fuel economy. ...

2013-01-04T23:59:59.000Z

275

Siphons in Chemical Reaction Networks  

E-Print Network (OSTI)

credited. Siphons in Chemical Reaction Networks Referencesfor a class of nonlinear chemical equations. SIAM J. Appl.to persistence analysis in chemical reaction networks. In:

Shiu, Anne; Sturmfels, Bernd

2010-01-01T23:59:59.000Z

276

Mobility in Wireless Sensor Networks  

E-Print Network (OSTI)

the 802.15.4 radio (for wireless operation) as well as thewireless sensor network protocol, significant power can be saved during network operations.

Mehta, Ankur Mukesh

2012-01-01T23:59:59.000Z

277

TMS 2011: Networking Events  

Science Conference Proceedings (OSTI)

... that has led to a multitude of incremental improvements over the last 60 years. ... With improved funding, future technologists will be attracted to the industry to ...

278

Stereotactic radiosurgery as therapy for melanoma, renal carcinoma, and sarcoma brain metastases: Impact of added surgical resection and whole-brain radiotherapy  

SciTech Connect

Purpose: Brain metastases of melanoma, renal carcinoma, and sarcoma have traditionally responded poorly to conventional treatments, including surgery and whole-brain radiotherapy (WBRT). Several studies have suggested a beneficial effect of stereotactic radiosurgery (SRS). We evaluated our institutional experience with systematic SRS in patients harboring these 'radioresistant' metastases. Methods and Materials: A total of 68 patients with brain metastases from melanoma, renal carcinoma, and sarcoma underwent SRS with or without WBRT or surgical resection. All patients had Karnofsky performance scores >70, and SRS was performed before the initiation of systemic therapy. The survival time was calculated from the diagnosis of brain metastases using the Kaplan-Meier product-limit method. Statistical significance was calculated using the log-rank test. Factors influencing survival, including surgical resection, WBRT, gender, number of SRS sessions, and histologic type, were evaluated retrospectively using Cox univariate models. Results: The overall median survival was 427 days (14.2 months), which appears superior to the results obtained with conventional WBRT. The addition of neither surgery nor WBRT to SRS provided a statistically significant increase in survival. Conclusion: Our results suggest that patients undergoing SRS for up to five cerebral metastases from 'radioresistant' tumors (melanoma, renal cell carcinoma, and sarcoma) have survival rates comparable to those in other series of more selected patients. The addition of surgical resection or WBRT did not result in improved survival in our series.

Rao, Ganesh [Department of Neurosurgery, University of Utah, Salt Lake City, Utah, UT (United States); Klimo, Paul [Department of Neurosurgery, University of Utah, Salt Lake City, Utah, UT (United States); Thompson, Clinton J. [Department of Family and Preventive Medicine, University of Utah, Salt Lake City, Utah, UT (United States); Samlowski, Wolfram [Department of Medicine, Division of Oncology, University of Utah, Salt Lake City, Utah, UT (United States); Huntsman Cancer Institute, University of Utah, Salt Lake City, UT (United States); Wang, Michael [Department of Medicine, Division of Oncology, University of Utah, Salt Lake City, Utah, UT (United States); Huntsman Cancer Institute, University of Utah, Salt Lake City, UT (United States); Watson, Gordon [Department of Radiation Oncology, University of Utah, Salt Lake City, Utah, UT (United States); Shrieve, Dennis [Department of Radiation Oncology, University of Utah, Salt Lake City, Utah, UT (United States); Huntsman Cancer Institute, University of Utah, Salt Lake City, UT (United States); Jensen, Randy L. [Department of Neurosurgery, University of Utah, Salt Lake City, Utah, UT (United States) and Huntsman Cancer Institute, University of Utah, Salt Lake City, UT (United States)]. E-mail: randy.jensen@hsc.utah.edu

2006-11-15T23:59:59.000Z

279

On a joint temporal-spatial multi-channel assignment and routing scheme in resource-constrained wireless mesh networks  

Science Conference Proceedings (OSTI)

Use of multiple orthogonal channels can significantly improve network throughput of multi-hop wireless mesh networks (WMNs). In these WMNs where multiple channels are available, channel assignment is done either in a centralized manner, which unfortunately ... Keywords: Channel assignment, Linear programming (LP), Routing, Spatial, Temporal, Throughput, Wireless mesh networks (WMNs)

Yan Jin; Weiping Wang; Yingtao Jiang; Mei Yang

2012-05-01T23:59:59.000Z

280

198 Int. J. High Performance Computing and Networking, Vol. 4, Nos. 3/4, 2006 Copyright 2006 Inderscience Enterprises Ltd.  

E-Print Network (OSTI)

198 Int. J. High Performance Computing and Networking, Vol. 4, Nos. 3/4, 2006 Copyright © 2006 Performance Computing and Networking, Vol. 4, Nos. 3/4, pp.198­206. Biographical notes: Xiao Chen, J. (2006) `Improved schemes for power-efficient broadcast in ad hoc networks', Int. J. High

Shen, Jian - Department of Mathematics, Texas State University

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


281

Comparative analysis of collaboration networks  

SciTech Connect

In this paper we carry out a comparative analysis of the word network as the collaboration network based on the novel by M. Bulgakov 'Master and Margarita', the synonym network of the Russian language as well as the Russian movie actor network. We have constructed one-mode projections of these networks, defined degree distributions for them and have calculated main characteristics. In the paper a generation algorithm of collaboration networks has been offered which allows one to generate networks statistically equivalent to the studied ones. It lets us reveal a structural correlation between word network, synonym network and movie actor network. We show that the degree distributions of all analyzable networks are described by the distribution of q-type.

Progulova, Tatiana; Gadjiev, Bahruz [International University for Nature, Society and Man, 19 Universitetskaya Street, Dubna, 141980 (Russian Federation)

2011-03-14T23:59:59.000Z

282

Home Network Security  

E-Print Network (OSTI)

Home computers that are connected to the Internet are under attack and need to be secured. That process is relatively well understood, even though we do not have perfect solutions today and probably never will. Meanwhile, however, the home computing environment is evolving into a home network of multiple devices, which will also need to be secured. We have little experience with these new home networks and much research needs to be done in this area. This paper gives a view of the requirements and some of the techniques available for securing home networks.

Technology Journal Interoperable; Carl M. Ellison; Corporate Technology Group; Intel Corporation

2002-01-01T23:59:59.000Z

283

BES Science Network Requirements  

Science Conference Proceedings (OSTI)

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.

Dart, Eli; Tierney, Brian; Dart, Eli; Biocca, A.; Carlson, R.; Chen, J.; Cotter, S.; Dattoria, V.; Davenport, J.; Gaenko, A.; Kent, P.; Lamm, M.; Miller, S.; Mundy, C.; Ndousse, T.; Pederson, M.; Perazzo, A.; Popescu, R.; Rouson, D.; Sekine, Y.; Sumpter, B.; Wang, C.-Z.; Whitelam, S.; Zurawski, J.

2011-02-01T23:59:59.000Z

284

Adoption of Vehicular Ad Hoc Networking Protocols by Networked Robots  

Science Conference Proceedings (OSTI)

This paper focuses on the utilization of wireless networking in the robotics domain. Many researchers have already equipped their robots with wireless communication capabilities, stimulated by the observation that multi-robot systems tend to have several ... Keywords: Networked robot, Robotic ad hoc network, V2I, V2V, Vehicular ad hoc network, Wireless robot

Wim Vandenberghe; Ingrid Moerman; Piet Demeester

2012-06-01T23:59:59.000Z

285

Trends in the development of communication networks: Cognitive networks  

Science Conference Proceedings (OSTI)

One of the main challenges already faced by communication networks is the efficient management of increasing complexity. The recently proposed concept of cognitive network appears as a candidate that can address this issue. In this paper, we survey the ... Keywords: Autonomic networks, Cognition loop, Cognitive networks, Cross-layer, Knowledge representation, Learning, OSI, Protocol stack, Reasoning, Self-aware

Carolina Fortuna; Mihael Mohorcic

2009-06-01T23:59:59.000Z

286

Networked computing in wireless sensor networks for structural health monitoring  

Science Conference Proceedings (OSTI)

This paper studies the problem of distributed computation over a network of wireless sensors. While this problem applies to many emerging applications, to keep our discussion concrete, we will focus on sensor networks used for structural health monitoring. ... Keywords: clustering, degree-constrained data collection tree, networked computing, singular value decomposition (SVD), structural health monitoring (SHM), wireless sensor networks (WSNs)

Apoorva Jindal; Mingyan Liu

2012-08-01T23:59:59.000Z

287

Time-domain approach to energy efficiency in high-performance network element design  

E-Print Network (OSTI)

Energy efficiency is a corner stone of sustainability in data center and high-performance networking. However, at present there is a notable structural mismatch between network silicon development targets and network equipment utilization patterns in the field. In particular, some aspects of network energy utilization (eg load-proportional energy consumption) routinely stay out of focus during system design and implementation. Drawing from hands-on research and development in high-speed and grid networking, we identify a novel approach to energy efficiency in network engineering. In this paper, we demonstrate how the problem of efficient network system design can be dissected into smaller sections based on timescales of traffic processing. The newly proposed approach allows R&D efforts to be tightly paired to resources and sustainability targets to improve energy efficiency in many classes of network and telecom devices.

Kharitonov, Daniel

2009-01-01T23:59:59.000Z

288

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

DOE Patents (OSTI)

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.

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

2012-09-11T23:59:59.000Z

289

Wireless Sensor Network Fundamentals  

NLE Websites -- All DOE Office Websites (Extended Search)

Wireless Sensor Network Fundamentals Wireless Sensor Network Fundamentals Speaker(s): Steven Lanzisera Date: February 8, 2010 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Kevin Kircher Wireless sensor networks have been promising to provide easy data collection and control capability to applications ranging from scientific data collection, disaster recover, national security, and more. The user experience, however, has been filled with confusing terminology, complicated systems, and a lack of interoperability between vendors. Users with a background in the technology and fundamentals are better able to understand system capabilities, make decisions, and end up with a network that meets their needs. Although a sufficient coverage of this topic is at least a semester course, the goal of this talk is to give a brief

290

NP Science Network Requirements  

E-Print Network (OSTI)

Process of Science Data Set Size ? Centralized processing tomicro- DSTs, reducing data-set size by a factor of five,Anticipated Network Needs Data Set Size Process of Science

Dart, Eli

2013-01-01T23:59:59.000Z

291

Long Thin Networks  

Science Conference Proceedings (OSTI)

In view of the unpredictable and problematic nature of long thin networks (for example, wireless WANs), arriving at an optimized transport is a daunting task. We have reviewed the existing proposals along with future research items. Based on this overview, ...

G. Montenegro; S. Dawkins; M. Kojo; V. Magret; N. Vaidya

2000-01-01T23:59:59.000Z

292

Network Invariants in Action  

Science Conference Proceedings (OSTI)

The paper presents the method of network invariants for verifying a wide spectrum of LTL properties, including liveness, of parameterized systems. This method can be applied to establish the validity of the property over a system S(n) for ...

Yonit Kesten; Amir Pnueli; Elad Shahar; Lenore D. Zuck

2002-08-01T23:59:59.000Z

293

The expandable network disk  

E-Print Network (OSTI)

This thesis presents a virtual disk cluster called END, the Expandable Network Disk. END aggregates storage on a cluster of servers into a single virtual disk. END's main goals are to offer good performance during normal ...

Muthitacharoen, Athicha, 1976-

2008-01-01T23:59:59.000Z

294

Mobility in wireless networks  

Science Conference Proceedings (OSTI)

This article surveys mobility patterns and mobility models for wirelss networks. Mobility patterns are classified into the following types: pedestrians, vehicles, aerial, dynamic medium, robot, and outer space motion. We present the characteristics of ...

Christian Schindelhauer

2006-01-01T23:59:59.000Z

295

Self modelling knowledge networks  

Science Conference Proceedings (OSTI)

What the scope of knowledge management (KM) is concerned, the focus of attention is shifting towards inter-organisational aspects resulting in new requirements for the KM process. This paper introduces the concept of self modelling knowledge networks ...

Volker Derballa; Antonia Albani

2005-10-01T23:59:59.000Z

296

BER Science Network Requirements  

E-Print Network (OSTI)

ESnet (Networking) Bert de Jong, PNNL (EMSL/HPC) KerstinKleese van Dam, PNNL (Data Management) Miron Livny,ORNL (ARM) Chris Oehmen, PNNL (Bioinformatics/ScalaBLAST)

Dart, Eli

2011-01-01T23:59:59.000Z

297

BES Science Network Requirements  

E-Print Network (OSTI)

September 22 and 23, 2010 ESnet Energy Sciences NetworkMD — September 22 and 23, 2010 ESnet is funded by the USASCR). Vince Dattoria is the ESnet Program Manager. ESnet is

Dart, Eli

2011-01-01T23:59:59.000Z

298

ESNET (Energy Sciences Network)  

Science Conference Proceedings (OSTI)

This document describes the Energy Sciences Network (ESNET) project which was undertaken by the Scientific Computing Staff during fiscal year (FY) 1986 at the direction of the Director, Office of Energy Research (ER). This document serves as the program plan for the ESNET project and is the result of the effort of the cross program Energy Sciences Network Steering Committee. The ESNET Steering Committee has been charged to codify the overall ER computer network requirements, to document and set priorities for computer networking requirements including performance objectives. Further, this committee has been asked to identify future ESNET functional characteristics, to identify research and development needs for the ESNET, to establish ESNET performance objectives and to define the intrastructure necessary to manage and operate the ESNET facilities.

Not Available

1987-06-01T23:59:59.000Z

299

Search using social networks  

E-Print Network (OSTI)

In this thesis, we present an approach to the problem of personalized web search which makes use of the searcher's social network, in addition to the hyper-link based score used in most search engines. This combination of ...

Ammar, Ammar (Ammar T.)

2010-01-01T23:59:59.000Z

300

Network Requirements Reviews  

NLE Websites -- All DOE Office Websites (Extended Search)

narrative text describing the science, a case study contains a table containing a distillation of the network-centric aspects of the science. In particular, a case study document...

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


301

BES Science Network Requirements  

E-Print Network (OSTI)

the Directors of the Office of Science, Office of AdvancedOffice of Basic Energy Sciences. This is LBNL report LBNL-BES Science Network Requirements Report of the Basic Energy

Dart, Eli

2011-01-01T23:59:59.000Z

302

Adaptive online brain-computer interface for interpretation and visualization of desired reach  

E-Print Network (OSTI)

A high- performance brain-computer interface,” Nature, vol.classi?cation for brain- computer interfaces,” IEEE Trans.the 3rd International Brain- Computer Interface Workshop and

Hammon, Paul S.

2009-01-01T23:59:59.000Z

303

Securing vehicular ad hoc networks  

Science Conference Proceedings (OSTI)

Vehicular networks are very likely to be deployed in the coming years and thus become the most relevant form of mobile ad hoc networks. In this paper, we address the security of these networks. We provide a detailed threat analysis and devise an appropriate ... Keywords: Vehicular ad hoc networks, security, wireless

Maxim Raya; Jean-Pierre Hubaux

2007-01-01T23:59:59.000Z

304

Set separation Neural Network paradigms  

E-Print Network (OSTI)

for forecasting financial time series 29 f´evrier 2008 Designing a neural network for forecasting financial time for forecasting financial time series #12;Neural Net The inputs Set separation Neural Network paradigms From network for forecasting financial time series #12;Neural Net The inputs Set separation Neural Network

Chen, Yiling

305

Improved Perturbation Theory for Improved Lattice Actions  

E-Print Network (OSTI)

We study a systematic improvement of perturbation theory for gauge fields on the lattice; the improvement entails resumming, to all orders in the coupling constant, a dominant subclass of tadpole diagrams. This method, originally proposed for the Wilson gluon action, is extended here to encompass all possible gluon actions made of closed Wilson loops; any fermion action can be employed as well. The effect of resummation is to replace various parameters in the action (coupling constant, Symanzik coefficients, clover coefficient) by ``dressed'' values; the latter are solutions to certain coupled integral equations, which are easy to solve numerically. Some positive features of this method are: a) It is gauge invariant, b) it can be systematically applied to improve (to all orders) results obtained at any given order in perturbation theory, c) it does indeed absorb in the dressed parameters the bulk of tadpole contributions. Two different applications are presented: The additive renormalization of fermion masses, and the multiplicative renormalization Z_V (Z_A) of the vector (axial) current. In many cases where non-perturbative estimates of renormalization functions are also available for comparison, the agreement with improved perturbative results is significantly better as compared to results from bare perturbation theory.

M. Constantinou; H. Panagopoulos; A. Skouroupathis

2006-05-31T23:59:59.000Z

306

Securing Cell Relay Networks  

Science Conference Proceedings (OSTI)

A cellular relay or cell relay (CR) is a device used to relay  information from one point in a network to another through a wireless medium using spectrum from the cellular band. One common use of CRs in the United States is to provide wireless devices with access to higher bandwidth or broadband access points. Examples include advanced metering infrastructure (AMI) mesh networks that use meter-based transmitters and receivers to provide communications between meters and from ...

2013-12-20T23:59:59.000Z

307

Urban Network Practices  

Science Conference Proceedings (OSTI)

This report describes the findings of an underground distribution practices immersion conducted by the Electric Power Research Institute (EPRI) with National Grid. This immersion was conducted as part of a multiyear effort by EPRI to identify noteworthy practices in managing urban network systems. National Grid's U.S. operations, headquartered in Waltham, Massachusetts, serves customers through secondary network systems in multiple cities in New York and New England. This report profiles the practices (p...

2012-02-16T23:59:59.000Z

308

Two approaches to selecting set of voxels for the diagnosis of Alzheimer's disease using brain SPECT images  

Science Conference Proceedings (OSTI)

This paper presents a computer-aided diagnosis technique for improving the accuracy of the early diagnosis of the Alzheimer type dementia. The first proposed methodology is based on the selection of those voxels which present a greater difference between ... Keywords: Alzheimer's disease, Computer aided diagnosis, SPECT brain images

D. Salas-Gonzalez; J. M. Górriz; J. Ramírez; I. Álvarez; M. López; F. Segovia; C. G. Puntonet

2011-12-01T23:59:59.000Z

309

Scientists examine proton radiography of brain mockup  

NLE Websites -- All DOE Office Websites (Extended Search)

Proton Radiography Of Brain Mockup 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 researchers and German collaborators have investigated the application of giga-electron volt (GeV, or billion electron volts) energy proton beams for medical imaging in combination with proton radiation treatment for cancer. The use of such a high-energy proton beam is ideal

310

Scientists examine proton radiography of brain mockup  

NLE Websites -- All DOE Office Websites (Extended Search)

Proton Radiography Of Brain Mockup 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 researchers and German collaborators have investigated the application of giga-electron volt (GeV, or billion electron volts) energy proton beams for medical imaging in combination with proton radiation treatment for cancer. The use of such a high-energy proton beam is ideal

311

Advance Network Reservation and Provisioning for Science  

Science Conference Proceedings (OSTI)

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 guaranteed bandwidth of secure virtual circuits at a certain time, for a certain bandwidth and length of time. Though OSCARS operates within the ESnet, it also supplies end-to-end provisioning between multiple autonomous network domains. OSCARS gets reservation requests through a standard web service interface, and conducts a Quality-of-service (QoS) path for bandwidth guarantees. Multi-protocol Label Switching (MPLS) and the Resource Reservation Protocol (RSVP) enable to create a virtual circuit using Label Switched Paths (LSP's). It contains three main components: a reservation manager, a bandwidth scheduler, and a path setup subsystem. The bandwidth scheduler needs to have information about the current and future states of the network topology in order to accomplish end-to-end bandwidth guaranteed paths.

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

2009-07-10T23:59:59.000Z

312

Cortical Control of Affective Networks  

E-Print Network (OSTI)

Transcranial magnetic stimulation and deep brain stimulation have emerged as therapeutic modalities for treatment refractory depression; however, little remains known regarding the circuitry that mediates the therapeutic ...

Kumar, S.

313

Data fusion of multi-sensor for IOT precise measurement based on improved PSO algorithms  

Science Conference Proceedings (OSTI)

This work proposes an improved particle swarm optimization (PSO) method to increase the measurement precision of multi-sensors data fusion in the Internet of Things (IOT) system. Critical IOT technologies consist of a wireless sensor network, RFID, various ... Keywords: Data fusion, Internet of things, Particle swarm optimization, RFID, Wireless sensor network

Wen-Tsai Sung; Ming-Han Tsai

2012-09-01T23:59:59.000Z

314

Your Improvement Suggestions Requested  

Science Conference Proceedings (OSTI)

... Once you have joined, click on the Subgroup tab and chose Improvement Day 2010. By E-mail. If you can't create a LinkedIn ...

2010-12-22T23:59:59.000Z

315

Agricultural Improvement Loan Program  

Energy.gov (U.S. Department of Energy (DOE))

The Agricultural Improvement Loan Program is administered by the Minnesota Department of Agriculture through the Minnesota Rural Finance Authority (RFA) and provides loans to farmers for...

316

The formation and function of the brain ventricular system  

E-Print Network (OSTI)

The brain ventricular system is composed of a highly conserved set of cavities that contain cerebrospinal fluid (CSF), a protein-rich fluid essential for brain function. However, little is known about the function of ...

Chang, Jessica T. (Jessica Tzung-Min)

2012-01-01T23:59:59.000Z

317

Compartmentalization and axon guidance in the Drosophila brain  

E-Print Network (OSTI)

The Drosophila brain is composed of many morphologically and functionally distinct processing centers and brain morphogenesis depends on the creation and maintenance of distinct boundaries between adjacent regions to prevent ...

Tayler, Timothy D., 1972-

2005-01-01T23:59:59.000Z

318

Architecture for mobile Heterogeneous Multi Domain networks  

Science Conference Proceedings (OSTI)

Multi domain networks can be used in several scenarios including military, enterprize networks, emergency networks and many other cases. In such networks, each domain might be under its own administration. Therefore, the cooperation among domains is ... Keywords: Network architecture, heterogeneous networks, mobility, policy based networking

Arjan Durresi; Ping Zhang; Mimoza Durresi; Leonard Barolli

2010-01-01T23:59:59.000Z

319

New Technologies and Methods to Improve Computational Speed and Robustness of Power Flow Analysis  

Science Conference Proceedings (OSTI)

The power flow problem consists of determining the steady-state operating point of an electrical transmission network under specific loading conditions. This report describes the development of power flow techniques designed to improve the efficiency and reliability of an electrical power network. Leveraging advancements in computing technologies, data processing, and sophisticated computational methods can improve the performance of power system analysis tools, specifically their accuracy, speed, ...

2013-12-20T23:59:59.000Z

320

Network sensitivity to geographical configuration  

E-Print Network (OSTI)

Gravitational wave astronomy will require the coordinated analysis of data from the global network of gravitational wave observatories. Questions of how to optimally configure the global network arise in this context. We have elsewhere proposed a formalism which is employed here to compare different configurations of the network, using both the coincident network analysis method and the coherent network analysis method. We have constructed a network model to compute a figure-of-merit based on the detection rate for a population of standard-candle binary inspirals. We find that this measure of network quality is very sensitive to the geographic location of component detectors under a coincident network analysis, but comparatively insensitive under a coherent network analysis.

Antony C Searle; Susan M Scott; David E McClelland

2001-10-10T23:59:59.000Z

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


321

Digital Networks: Electronics and Beyond  

NLE Websites -- All DOE Office Websites (Extended Search)

Digital Networks: Electronics and Beyond Digital Networks: Electronics and Beyond Speaker(s): Bruce Nordman Date: January 9, 2009 - 12:00pm Location: 90-3122 For the last five years or so, I have made digital networks my prime research focus. For the most part, this has concentrated on IT networks as with PCs and servers, and the network interfaces and network devices that enable it. I will outline how to think about networks as they collide with energy use and efficiency, and report on the several projects we have underway in this area. Networks have a unique relationship to industry standards and I will outline some of the challenges and opportunities this brings. In addition, we have the looming prospect of the networking of many non-electronic loads in buildings (particularly lighting and climate

322

Improved plug valve  

DOE Patents (OSTI)

An improved plug valve wherein a novel shape for the valve plug and valve chamber provide mating surfaces for improved wear characteristics is described. The novel shape of the valve plug is a frustum of a body of revolution of a curve known as a tractrix, a solid shape otherwise known as a pseudosphere.

Wordin, J.J.

1986-05-09T23:59:59.000Z

323

Improved wire chamber  

DOE Patents (OSTI)

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.

Atac, M.

1987-05-12T23:59:59.000Z

324

GAS MAIN SENSOR AND COMMUNICATIONS NETWORK SYSTEM  

SciTech Connect

Automatika, Inc. was contracted by the Department of Energy (DOE) and with co-funding from the New York Gas Group (NYGAS), to develop an in-pipe natural gas prototype measurement and wireless communications system for assessing and monitoring distribution networks. A prototype system was built for low-pressure cast-iron mains and tested in a spider- and serial-network configuration in a live network in Long Island with the support of Keyspan Energy, Inc. The prototype unit combined sensors capable of monitoring pressure, flow, humidity, temperature and vibration, which were sampled and combined in data-packages in an in-pipe master-slave architecture to collect data from a distributed spider-arrangement, and in a master-repeater-slave configuration in serial or ladder-network arrangements. It was found that the system was capable of performing all data-sampling and collection as expected, yielding interesting results as to flow-dynamics and vibration-detection. Wireless in-pipe communications were shown to be feasible and valuable data was collected in order to determine how to improve on range and data-quality in the future.

Hagen Schempf, Ph.D.

2003-02-27T23:59:59.000Z

325

Social networks and context-aware spam  

E-Print Network (OSTI)

Social networks are popular for online communities. This paper evaluates the risk of sophisticated context-aware spam that could result from information sharing on social networks and discusses potential mitigation strategies. Unlike normal spam, context-aware spam would likely have a high click-through rate due to exploitation of authentic social connections. Context-aware spam could lead to more insidious attacks that try to install malware or steal passwords. In this paper, we analyzed Facebook, a popular social networking website. Our goal was to determine how many users were vulnerable to context-aware attack email and understand aspects of Facebook's design that make such attacks possible. We also classified different kinds of email attacks based on certain pieces of data such as birthdays, lists of friends, wall posts, and user news feeds. We analyzed Facebook starting from a single university e-mail address to calculate the number of users who would be vulnerable to each type of attack. We found that a hacker could send sophisticated context-aware email to approximately 85 % of users. Furthermore, our analysis shows that people with private profiles are almost equally vulnerable to a subset of attacks. Finally, we discuss defense strategies. Some strategies would require users to coordinate their privacy policies with each other. We also suggest design improvements for social networks that may help reduce exposure to context-aware attack email.

Garrett Brown; Travis Howe; Micheal Ihbe; Atul Prakash; Kevin Borders

2008-01-01T23:59:59.000Z

326

ORIGINAL RESEARCH Brain responses evoked by high-frequency repetitive  

E-Print Network (OSTI)

, Kicic D, Savolainen P, Makela JP, Kahkonen S. Reproduc- ibility of TMS-evoked EEG responses. Human Brain

Wisconsin at Madison, University of

327

Parallel multiscale simulations of a brain aneurysm  

Science Conference Proceedings (OSTI)

Cardiovascular pathologies, such as a brain aneurysm, are affected by the global blood circulation as well as by the local microrheology. Hence, developing computational models for such cases requires the coupling of disparate spatial and temporal scales ... Keywords: Atomistic-continuum coupling, Blood microrheology, Dissipative particle dynamics, Domain decomposition, Parallel computing, Spectral elements, Thrombosis

Leopold Grinberg, Dmitry A. Fedosov, George Em Karniadakis

2013-07-01T23:59:59.000Z

328

Probing brain oxygenation with near infrared spectroscopy  

E-Print Network (OSTI)

The fundamentals of near infrared spectroscopy (NIRS) are reviewed. This technique allows to measure the oxygenation of the brain tissue. The particular problems involved in detecting regional brain oxygenation (rSO2) are discussed. The dominant chromophore (light absorber) in tissue is water. Only in the NIR light region of 650-1000 nm, the overall absorption is sufficiently low, and the NIR light can be detected across a thick layer of tissues, among them the skin, the scull and the brain. In this region, there are many absorbing light chromophores, but only three are important as far as the oxygenation is concerned. They are the hemoglobin (HbO2), the deoxy-hemoglobin (Hb) and cytochrome oxidase (CtOx). In the last 20 years there was an enormous growth in the instrumentation and applications of NIRS. . The devices that were used in our experiments were : Somanetics's INVOS Brain Oximeter (IBO) and Toomim's HEG spectrophotometer. The performances of both devices were compared including their merits and draw...

Gersten, Alexander; Raz, Amir; Fried, Robert

2011-01-01T23:59:59.000Z

329

Measurement, Analysis, and Improvement  

NLE Websites -- All DOE Office Websites (Extended Search)

6 Measurement, Analysis, and Improvement Process 11_0304 Page 1 of 6 6 Measurement, Analysis, and Improvement Process 11_0304 Page 1 of 6 EOTA - Business Process Document Title: Measurement, Analysis, and Improvement Process Document Number: P-006 Rev 11_0304 Document Owner: Elizabeth Sousa Backup Owner: Melissa Otero Approver(s): Melissa Otero Parent Document: Q-001, Quality Manual Notify of Changes: EOTA Employees Referenced Document(s): P-008 Corrective-Preventive Action Process, P-004 Business System Management Review and REG-003 Records Register P-006 Measurement, Analysis, and Improvement Process 11_0304 Page 2 of 6 Revision History: Rev. Description of Change A Initial Release 08_0416 Changed verbiage in Step 6 to, "CAR/PAR/IO using P-008, Corrective-Preventive Action & Improvement Opportunity"

330

Milestone Plan Process Improvement  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Milestone Plan Process Improvement Milestone Plan Process Improvement Milestone Plan Process Improvement Background In response to our community's concern over the milestone plan (MP) process within the system, the STRIPES Project Office initiated an in-depth evaluation of the required steps and issues surrounding this process. We concluded that the MP process could be improved for most users by tuning the system configuration. With the approval of both the STRIPES Executive Steering Committee and the STRIPES Project Office, we launched the MP Process Improvement Initiative. After many meetings with members of the STRIPES Team and Working Group, we are ready to "go-live" with this initiative. On October 1 st , 2012 the new MP process will be implemented for use by most field offices.

331

E2XLRADR (Energy Efficient Cross Layer Routing Algorithm with Dynamic Retransmission for Wireless Sensor Networks)  

E-Print Network (OSTI)

The main focus of this article is to achieve prolonged network lifetime with overall energy efficiency in wireless sensor networks through controlled utilization of limited energy. Major percentage of energy in wireless sensor network is consumed during routing from source to destination, retransmission of data on packet loss. For improvement, cross layered algorithm is proposed for routing and retransmission scheme. Simulation and results shows that this approach can save the overall energy consumption

Babulal, Kanojia Sindhuben; 10.5121/ijwmn.2010.2312

2010-01-01T23:59:59.000Z

332

Effective algorithms and protocols for wireless networking: a topological approach  

E-Print Network (OSTI)

Much research has been done on wireless sensor networks. However, most protocols and algorithms for such networks are based on the ideal model Unit Disk Graph (UDG) model or do not assume any model. Furthermore, many results assume the knowledge of location information of the network. In practice, sensor networks often deviate from the UDG model significantly. It is not uncommon to observe stable long links that are more than five times longer than unstable short links in real wireless networks. A more general network model, the quasi unit-disk graph (quasi-UDG) model, captures much better the characteristics of wireless networks. However, the understanding of the properties of general quasi-UDGs has been very limited, which is impeding the design of key network protocols and algorithms. In this dissertation we study the properties for general wireless sensor networks and develop new topological/geometrical techniques for wireless sensor networking. We assume neither the ideal UDG model nor the location information of the nodes. Instead we work on the more general quasi-UDG model and focus on figuring out the relationship between the geometrical properties and the topological properties of wireless sensor networks. Based on such relationships we develop algorithms that can compute useful substructures (planar subnetworks, boundaries, etc.). We also present direct applications of the properties and substructures we constructed including routing, data storage, topology discovery, etc. We prove that wireless networks based on quasi-UDG model exhibit nice properties like separabilities, existences of constant stretch backbones, etc. We develop efficient algorithms that can obtain relatively dense planar subnetworks for wireless sensor networks. We also present efficient routing protocols and balanced data storage scheme that supports ranged queries. We present algorithmic results that can also be applied to other fields (e.g., information management). Based on divide and conquer and improved color coding technique, we develop algorithms for path, matching and packing problem that significantly improve previous best algorithms. We prove that it is unlikely for certain problems in operation science and information management to have any relatively effective algorithm or approximation algorithm for them.

Zhang, Fenghui

2008-08-01T23:59:59.000Z

333

Weighted graph comparison techniques for brain connectivity analysis  

Science Conference Proceedings (OSTI)

The analysis of brain connectivity is a vast field in neuroscience with a frequent use of visual representations and an increasing need for visual analysis tools. Based on an in-depth literature review and interviews with neuroscientists, we explore ... Keywords: brain connectivity analysis, brain connectivity visualization, graph comparison

Basak Alper; Benjamin Bach; Nathalie Henry Riche; Tobias Isenberg; Jean-Daniel Fekete

2013-04-01T23:59:59.000Z

334

Brain-controlled finite state machine for wheelchair navigation  

Science Conference Proceedings (OSTI)

This proposal is about a brain-controlled electrically powered wheelchair. The system comprises a brain-computer interface based on steady-state visual evoked potentials and a processing unit relying on a finite state machine (FSM). Results of first ... Keywords: brain-computer interface (bci), finite state machine (fsm), human-computer interaction, stea dy-state visual evoked potentials (ssvep)

Amir Teymourian; Thorsten Lueth; Axel Graeser; Torsten Felzer; Rainer Nordmann

2008-10-01T23:59:59.000Z

335

A model of computation and representation in the brain  

Science Conference Proceedings (OSTI)

The brain is first and foremost a control system that is capable of building an internal representation of the external world, and using this representation to make decisions, set goals and priorities, formulate plans, and control behavior with intent ... Keywords: Brain modeling, Cognitive modeling, Human neocortex, Image processing, Knowledge representation, Perception, Reverse engineering the brain, Segmentation, Signals to symbols

James S. Albus

2010-05-01T23:59:59.000Z

336

Science-Driven Network Requirements for ESnet  

E-Print Network (OSTI)

Neutron Source Network Requirements Six DOE laboratories arehas networking requirements which differ from many other DOEhas networking requirements which differ from many other DOE

2006-01-01T23:59:59.000Z

337

Marine Planning Portal Network | Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

Network Ocean Data Tools Technical Guide Map Gallery Regional Planning Feedback Ocean You are here Data.gov Communities Ocean Marine Planning Portal Network A Network of...

338

HEP Science Network Requirements--Final Report  

E-Print Network (OSTI)

Networking) Les Cottrell, SLAC (Networking) Glen Crawford,Networking) Richard Mount, SLAC (HEP) Thomas Ndousse-Fetter,36 SLAC Experimental HEP

Dart Ed, Eli

2010-01-01T23:59:59.000Z

339

Concerted Flows: Infrastructure for Terabits Data Networks |...  

NLE Websites -- All DOE Office Websites (Extended Search)

Concerted Flows: Infrastructure for Terabits Data Networks High-performance application use of emerging 100G networks and future terabit networks will require substantial and...

340

Home Network Technologies and Automating Demand Response  

E-Print Network (OSTI)

networks_in_the_home_the_new_growth_market.htm [12] NationalHome Network Technologies and Automating Demand Responsethe University of California. Home Network Technologies and

McParland, Charles

2010-01-01T23:59:59.000Z

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


341

Computers and Computer Networks  

NLE Websites -- All DOE Office Websites (Extended Search)

and Computer Networks and Computer Networks Computer Science documentation, etc. Computer Science Research and Services at the Lab Super Computing Computer Graphics Computer & Internet information via yahoo.com, categorized by subject Perl UNIX documentation Shareware sites MBONE and Videoconferencing Computer Networks and related documentation Computer Documentation World Wide Web UNIX Documentation TeX, LaTeX FAQ, documents, archives, etc. MacInTouch -- current Macintosh information, from vendor & others Shareware sites The Free On-line Dictionary of Computing PDS: The Performance Database Server of Computer Benchmark Return to Top Return to Top Newsgroups, USEnet, and Mailing Lists Usenet (Internet News Groups) Mailing list software & information Return to Top Return to Top

342

Sandia uses supercomputer simulations to improve helmets | National Nuclear  

National Nuclear Security Administration (NNSA)

uses supercomputer simulations to improve helmets | National Nuclear uses supercomputer simulations to improve helmets | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home > NNSA Blog > Sandia uses supercomputer simulations to improve helmets Sandia uses supercomputer simulations to improve helmets Posted By Office of Public Affairs NNSA Blog Supercomputer simulations of blast waves on the brain are being compared

343

A collaborative network middleware project by Lambda Station, TeraPaths, and Phoebus  

Science Conference Proceedings (OSTI)

The TeraPaths, Lambda Station, and Phoebus projects, funded by the US Department of Energy, have successfully developed network middleware services that establish on-demand and manage true end-to-end, Quality-of-Service (QoS) aware, virtual network paths across multiple administrative network domains, select network paths and gracefully reroute traffic over these dynamic paths, and streamline traffic between packet and circuit networks using transparent gateways. These services improve network QoS and performance for applications, playing a critical role in the effective use of emerging dynamic circuit network services. They provide interfaces to applications, such as dCache SRM, translate network service requests into network device configurations, and coordinate with each other to setup up end-to-end network paths. The End Site Control Plane Subsystem (ESCPS) builds upon the success of the three projects by combining their individual capabilities into the next generation of network middleware. ESCPS addresses challenges such as cross-domain control plane signalling and interoperability, authentication and authorization in a Grid environment, topology discovery, and dynamic status tracking. The new network middleware will take full advantage of the perfSONAR monitoring infrastructure and the Inter-Domain Control plane efforts and will be deployed and fully vetted in the Large Hadron Collider data movement environment.

Bobyshev, A.; /Fermilab; Bradley, S.; /Brookhaven; Crawford, M.; /Fermilab; DeMar, P.; /Fermilab; Katramatos, D.; /Brookhaven; Shroff, K.; /Brookhaven; Swany, M.; /Delaware U.; Yu, D.; /Brookhaven

2010-01-01T23:59:59.000Z

344

Flexible application driven network striping over Wireless Wide Area Networks  

E-Print Network (OSTI)

Inverse multiplexing, or network striping, allows the construction of a high-bandwidth virtual channel from a collection of multiple low-bandwidth network channels. Striping systems usually employ a packet scheduling policy ...

Qureshi, Asfandyar

2005-01-01T23:59:59.000Z

345

The ATM Forum‘s private network/network interface  

Science Conference Proceedings (OSTI)

The ATM Forum completed the first version of its private network/network interface (PNNI) in March 1996 and many ATM switch manufacturers are now offering early implementations. PNNI offers a different type of internetwork or internodal interface from ...

J. M. Scott; I. G. Jones

1998-04-01T23:59:59.000Z

346

Network scheduling for data archiving applications in sensor networks  

Science Conference Proceedings (OSTI)

Since data archiving in sensor networks is a communication intensive application, a careful power management of communication is of critical importance for such networks. An example is FPS, an adaptive power scheduling algorithm that combines slotted ...

Yong Yao; S. M. Nazrul Alam; Johannes Gehrke; Sergio D. Servetto

2006-09-01T23:59:59.000Z

347

Evaluation of Metadata-Based Data Aggregation Scheme in Clustering Wireless Sensor Networks  

Science Conference Proceedings (OSTI)

In a wireless sensor network (WSN) system, an important problem for the special application, in which the battery of a sensor node cannot be exchanged, is how to extend the life time of the entire WSN system. In the past we proposed an improvement to ... Keywords: energy efficiency, power consumption, wireless sensor network

Yoshitsugu Obashi; Tomohiro Kokogawa; Yi Zheng; Huifang Chen; Hiroshi Mineno; Tadanori Mizuno

2007-09-01T23:59:59.000Z

348

A Global Optimization Approach to a Water Distribution Network DesignProblem  

Science Conference Proceedings (OSTI)

In this paper, we address a global optimization approach to a water distribution network design problem. Traditionally, a variety of local optimization schemes have been developed for such problems, each new method discovering improved solutions for ... Keywords: Water distribution systems, network design, reformulation-linearization technique (RLT)

Hanif D. Sherali; Ernest P. Smith

1997-09-01T23:59:59.000Z

349

A grid-based coverage approach for target tracking in hybrid sensor networks  

Science Conference Proceedings (OSTI)

Most existing work on the coverage problem of wireless sensor networks focuses on improving the coverage of the whole sensing field. In target tracking, the interested coverage area is the emerging region of a motorized target, not the whole sensing ... Keywords: Coverage, Graph problems, Target tracking, Wireless sensor networks

Jenn-Wei Lin; Shih-Chieh Tang

2011-10-01T23:59:59.000Z

350

Consistent-degradation macroblock grouping for parallel video streams over DiffServ networks  

Science Conference Proceedings (OSTI)

This paper presents a consistent-degradation macroblock grouping scheme for improving loss resilience of parallel video streams over a two-class DiffServ network. By jointly exploiting the H.264 flexible macroblock ordering (FMO) tool, a multi-stream ... Keywords: DiffServ network, Flexible macroblock ordering, Loss resilience, Parallel video streams, Transmission distortion

Hao Liu; HaiQin Xu; ShuGuang Zhao

2012-01-01T23:59:59.000Z

351

A survey of mobility in information-centric networks: challenges and research directions  

Science Conference Proceedings (OSTI)

In essence, an information-centric network (ICN) is one which supports a content request/reply model. One proposed benefit of this is improved mobility. This can refer to provider, consumer or content mobility. Despite this, little specific research ... Keywords: information-centric networking, mobility

Gareth Tyson; Nishanth Sastry; Ivica Rimac; Ruben Cuevas; Andreas Mauthe

2012-06-01T23:59:59.000Z

352

An artificial neural network method for remaining useful life prediction of equipment subject to condition monitoring  

Science Conference Proceedings (OSTI)

Accurate equipment remaining useful life prediction is critical to effective condition based maintenance for improving reliability and reducing overall maintenance cost. In this paper, an artificial neural network (ANN) based method is developed for ... Keywords: Accurate, Artificial neural network, Bearing, Prediction, Remaining useful life

Zhigang Tian

2012-04-01T23:59:59.000Z

353

On energy efficiency of geographic opportunistic routing in lossy multihop wireless networks  

Science Conference Proceedings (OSTI)

Geographic opportunistic routing (GOR) is an emerging technique that can improve energy efficiency in lossy multihop wireless networks. GOR makes local routing decision by using nodes' location information, and exploits the broadcast nature and spatial ... Keywords: Energy efficiency, Geographic opportunistic routing, Multihop wireless networks

Kai Zeng; Jie Yang; Wenjing Lou

2012-11-01T23:59:59.000Z

354

A power adjusting algorithm on mobility control in mobile ad hoc networks  

Science Conference Proceedings (OSTI)

Power saving is one of the key issues in mobile ad-hoc networks (MANET), while previous researches in MAC layer are mostly focused on improving the channel utilization by adopting variable-range transmission power control. In this paper we focus on the ... Keywords: dynamic source routing (DSR), mobile ad-hoc networks (MANETs), mobility control, power control, power efficiency

Jianrui Yuan; Jintao Meng

2011-10-01T23:59:59.000Z

355

A Femtocell-Assisted Data Forwarding Protocol in Relay Enhanced LTE Networks  

Science Conference Proceedings (OSTI)

The femtocell networks, which is a small cellular base station in home and small business environment, is an attractive solution for operators to improve indoor coverage and network capability. In addition, relaying is one of the proposed technique for ... Keywords: LTE, handover, relay, femtocell, data forwardingLTE, handover, relay, femtocell, data forwarding

Yuh-Shyan Chen; Chao-Chun Li; Wen-Lin Chiang

2011-09-01T23:59:59.000Z

356

Combining artificial neural networks and heuristic rules in a hybrid intelligent load forecast system  

Science Conference Proceedings (OSTI)

In this work, an Artificial Neural Network (ANN) is combined to Heuristic Rules producing a powerful hybrid intelligent system for short and mid-term electric load forecasting. The Heuristic Rules are used to adjust the ANN output to improve the system ... Keywords: artificial neural networks, electric load forecast, heuristic rules, hybrid system

Ronaldo R. B. de Aquino; Aida A. Ferreira; Manoel A. Carvalho, Jr.; Milde M. S. Lira; Geane B. Silva; Otoni Nóbrega Neto

2006-09-01T23:59:59.000Z

357

Identifying IPv6 network problems in the dual-stack world  

Science Conference Proceedings (OSTI)

One of the major hurdles limiting IPv6 adoption is the existence of poorly managed experimental IPv6 sites that negatively affect the perceived quality of the IPv6 Internet. To assist network operators in improving IPv6 networks, we are exploring methods ... Keywords: IPv6, delay measurement, dual-stack, path analysis, path visualization

Kenjiro Cho; Matthew Luckie; Bradley Huffaker

2004-09-01T23:59:59.000Z

358

Energy balanced scheme based on variable cell transmission range for wireless sensor networks  

Science Conference Proceedings (OSTI)

Clustering techniques in routing protocols improve the scalability of wireless sensor networks. To solve the "hot spot" problem caused by the cluster heads near the sink, which are burdened with heavy relay traffic via multi-hop transfer and tend to ... Keywords: clustering, energy balance, transmission range, wireless sensor networks

Xiao-heng Deng; Chugui Xu; Yi Liu

2009-09-01T23:59:59.000Z

359

Polynomial Time Construction Algorithm of BCNC for Network Coding in Cyclic Networks  

Science Conference Proceedings (OSTI)

Network coding in cyclic networks meets more problems than in acyclic networks. Recently, S.-Y.R.Li et al.proposed a framework of convolutional network coding (CNC) as well as its four properties for cyclic networks with theoretic fundamentals of discrete ... Keywords: network coding, convolutional network coding, cyclic networks

Jiaqing Huang; Liang Wang; Wenqing Cheng; Hui Li

2009-06-01T23:59:59.000Z

360

A performance data network for solar process heat systems  

DOE Green Energy (OSTI)

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.

Barker, G.; Hale, M.J.

1996-03-01T23:59:59.000Z

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


361

CS 535- Wireless Network Security  

E-Print Network (OSTI)

This is a 3-credit course that focuses on security and privacy issues in wireless networks and systems. Generally the security of MAC and especially upper layers are considered in this class. This course is not intended to cover cryptography in detail, but an overview of cryptography will be given at the beginning of the course so that the students who do not know cryptography would have sufficient information to understand the rest of the course. Although the catalogue information for this course (see below) several sub areas of wireless network security, in this course we will focus on ad hoc and sensor network security. Catalogue Data: This course covers security and privacy issues in wireless networks and systems, such as cellular networks, wireless LANs, wireless PANs, mobile ad hoc networks, vehicular networks, satellite networks, wireless mesh networks, sensor networks and RFID systems. Security problems of MAC and especially upper layers will be emphasized. Attacks and proposed solutions at several layers, authentication, key distribution and key management, secure routing, selfish and malicious behaviors, and secure group communication are analyzed for applicable wireless network types. A short overview of cryptography and wireless networking principles will be given at the beginning of the course. Prerequisite: Formally there is no prerequisite for this course, but students are expected to come with undergrad level computer networks background. Moreover, computer-programming expertise is necessary. Instructor: Schedule:

Albert Levi

2008-01-01T23:59:59.000Z

362

Attacking Automatic Wireless Network Selection  

E-Print Network (OSTI)

Wireless 802.11 networking is becoming so prevalent that many users have become accustomed to having available wireless networks in their workplace, home, and many public places such as airports and coffee shops. Modern client operating systems implement automatic wireless network discovery and known network identification to facilitate wireless networking for the end-user. In order to implement known network discovery, client operating systems remember past wireless networks that have been joined and automatically look for these networks (referred to as Preferred or Trusted Networks) whenever the wireless network adapter is enabled. By examining these implementations in detail, we have discovered previously undisclosed vulnerabilities in the implementation of these algorithms under the two most prevalent client operating systems, Windows XP and MacOS X. With custom base station software, an attacker may cause clients within wireless radio range to associate to the attacker’s wireless network without user interaction or notification. This will occur even if the user has never connected to a wireless network before or they have an empty Preferred/Trusted Networks List. We describe these vulnerabilities as well as their implementation and impact. 1

Dino A. Dai Zovi; Shane A. Macaulay

2005-01-01T23:59:59.000Z

363

The Baseline Surface Radiation Network Pyrgeometer Round-Robin Calibration Experiment  

Science Conference Proceedings (OSTI)

With the aim of improving the consistency of terrestrial and atmospheric longwave radiation measurements within the Baseline Surface Radiation Network, five Eppley Precision Infrared Radiometer (PIR) pyrgeometers and one modified Meteorological ...

Rolf Philipona; Claus Fröhlich; Klaus Dehne; John DeLuisi; John Augustine; Ellsworth Dutton; Don Nelson; Bruce Forgan; Peter Novotny; John Hickey; Steven P. Love; Steven Bender; Bruce McArthur; Atsumu Ohmura; John H. Seymour; John S. Foot; Masataka Shiobara; Francisco P. J. Valero; Anthony W. Strawa

1998-06-01T23:59:59.000Z

364

The U.S. Historical Climatology Network Monthly Temperature Data, Version 2  

Science Conference Proceedings (OSTI)

In support of climate monitoring and assessments, the National Oceanic and Atmospheric Administration's (NOAA's) National Climatic Data Center has developed an improved version of the U.S. Historical Climatology Network temperature dataset (HCN ...

Matthew J. Menne; Claude N. Williams Jr.; Russell S. Vose

2009-07-01T23:59:59.000Z

365

Bio-inspired energy-aware protocol design for cooperative wireless networks  

Science Conference Proceedings (OSTI)

In this work, bio-inspired cooperation rules are applied to wireless communication networks. The main goal is to derive cooperative behaviour rules to improve the energy consumption of each mobile device. A medium access control (MAC) protocol ...

Gian Paolo Perrucci; Puri Ardhy Anggraeni; Satya Ardhy Wardana; Frank H. P. Fitzek; Marcos D. Katz

2011-04-01T23:59:59.000Z

366

Airblue : a highly-configurable FPGA-based platform for wireless network research  

E-Print Network (OSTI)

Over the past few years, researchers have developed many cross-layer wireless protocols to improve the performance of wireless networks. Experimental evaluations of these protocols require both high-speed simulations and ...

Ng, Man Cheuk, 1980-

2011-01-01T23:59:59.000Z

367

Intercell radio resource management through network coordination for IMT-advanced systems  

Science Conference Proceedings (OSTI)

In IMT-Advanced systems, a cross-layer approach coupling network coordination and radio resource managements enables mitigation of intercell interference and throughput improvement of cell-edge users. To facilitate coordination among base stations, we ...

Young-June Choi; Narayan Prasad; Sampath Rangarajan

2010-02-01T23:59:59.000Z

368

ASCR Science Network Requirements  

Science Conference Proceedings (OSTI)

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

Dart, Eli; Tierney, Brian

2009-08-24T23:59:59.000Z

369

Network technology for depot modernization  

Science Conference Proceedings (OSTI)

This report was prepared by the Pacific Northwest Laboratory to summarize existing and emerging information system technology and standards applicable to Depot System Command (DESCOM) modernization efforts. The intent of this summarization is to provide the Revitalization of Army Depots for the Year 2000 (READY 2000) team a clear understanding of the enabling information system technologies required to support effective modernization activities. Much of the information contained in this report was acquired during the last year in support of the US Army Armament, Munitions, and Chemical Command (AMCCOM) Facility Integrated Manufacturing Management System (FIMMS) project at PNL, which is targeting the modernization of plant-wide information systems at Army Ammunition Plants. The objective of information system modernization is to improve the effectiveness of an organization in performing its mission. Information system modernization strives to meet this objective by creating an environment where data is electronically captured near the source and readily available to all areas of the organization. Advanced networks, together with related information system technology, are the enabling mechanisms that make modern information system infrastructures possible. The intent of this paper is to present an overview of advanced information system network technology to support depot modernization planners in making technology management decisions. Existing and emerging Open System Interconnection (OSI) and Government Open System Interconnection Profile (GOSIP) standards are explained, as well as a brief assessment of existing products compliant with these standards. Finally, recommendations for achieving plant-wide integration using existing products are presented, and migration strategies for full OSI compliance are introduced. 5 refs., 16 figs. (JF)

Hostick, C.J.

1990-12-01T23:59:59.000Z

370

Wireless SensorWireless Sensor NetworkNetwork  

E-Print Network (OSTI)

consumption related to ICT varying from 2% to 10% of the worldwide power consumption [5]. It is worth consumption in network by 2015 [10]. In the current telecommunications networks, the vast majority, modems, line cards, etc.), a direct estimation of network equipment power consumption is notoriously

Kabara, Joseph

371

Community-based relational Markov networks in complex networks  

Science Conference Proceedings (OSTI)

Relational Markov networks (RMNs) are a joint probabilistic model for an entire collection of related entities. The model is able to mine relational data effectively by integrating information from content attributes of individual entities as well as ... Keywords: community structure, complex networks, graphical models, maximum pseudolikelihood estimation, relational Markov networks

Huaiyu Wan; Youfang Lin; Caiyan Jia; Houkuan Huang

2011-10-01T23:59:59.000Z

372

Sleep scheduling for wireless sensor networks via network flow model  

Science Conference Proceedings (OSTI)

The pervasiveness and operational autonomy of mesh-based wireless sensor networks (WSNs) make them an ideal candidate in offering sustained monitoring functions at reasonable cost over a wide area. There has been a general consensus within the research ... Keywords: Cross-layer design, Integer linear programming, Network flow model, Sleep scheduling, Wireless sensor networks

Rick W. Ha; Pin-Han Ho; X. Sherman Shen; Junshan Zhang

2006-08-01T23:59:59.000Z

373

On optical communications networks and wideband network architecture  

Science Conference Proceedings (OSTI)

The optical networks of today are just beginning to realize their abilities to carry a tremendous amount of information in the forms of voice, data and video signals on a single optical fiber. However, many challenges lay ahead as designers and system ... Keywords: Optical networks, Wave division multiplexing and optical switching, Wideband network architecture

K Makki; J Broussard; N Pissinou

2000-05-01T23:59:59.000Z

374

The Data Vortex, an All Optical Path Multicomputer Interconnection Network  

E-Print Network (OSTI)

All optical path interconnection networks employing dense wavelength division multiplexing can provide vast improvements in supercomputer performance. However, the lack of efficient optical buffering requires investigation of new topologies and routing techniques. This paper introduces and evaluates the Data Vortex optical switching architecture which uses cylindrical routing paths as a packet buffering alternative. In addition, the impact of the number of angles on the overall network performance is studied through simulation. Using optimal topology configurations, the Data Vortex is compared to two existing switching architectures—butterfly and omega networks. The three networks are compared in terms of throughput, accepted traffic ratio, and average packet latency. The Data Vortex is shown to exhibit comparable latency and a higher acceptance rate (2x at 50 percent load) than the butterfly and omega topologies.

Cory Hawkins; Benjamin A. Small; D. Scott Wills; Keren Bergman

2007-01-01T23:59:59.000Z

375

Cycle Chemistry Improvement Program  

Science Conference Proceedings (OSTI)

The purity of water and steam is central to ensuring fossil plant component availability and reliability. This report, which describes formal cycle chemistry improvement programs at nine utilities, will assist utilities in achieving significant operation and maintenance cost reductions.

1997-04-21T23:59:59.000Z

376

An Improved Humidity Sensor  

Science Conference Proceedings (OSTI)

A common feature of all capacitance humidity sensors is their undesirable hysteresis effect due to the unequal adsorption and desorption of water vapor on the surfaces of their dielectric porous materials. To eliminate this error, an improved ...

Shixuan Pang; Hartmut Graßl; Horst Jäger

1996-10-01T23:59:59.000Z

377

SG Network System Requirements Specification  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

SG Network System Requirements Specification SG Network System Requirements Specification Interim Release 3 5/17/2010 - 2 - Table of Contents Document History ....................................................................................................................................... - 3 - Revision History .......................................................................................................................................... - 3 - Preface........................................................................................................................................................ - 4 - Authors........................................................................................................................................................ - 6 -

378

Virtual urban traffic network simulator  

E-Print Network (OSTI)

In this project, I designed and implemented a virtual urban traffic network simulator. The simulator serves as a testbed for human-subject experiments to determine driver behavior in road networks and also as a platform ...

Uh, Jason (Jason J.)

2011-01-01T23:59:59.000Z

379

Sensing and modeling human networks  

E-Print Network (OSTI)

Knowledge of how groups of people interact is important in many disciplines, e.g. organizational behavior, social network analysis, knowledge management and ubiquitous computing. Existing studies of social network interactions ...

Choudhury, Tanzeem Khalid, 1975-

2004-01-01T23:59:59.000Z

380

Network Access to Multimedia Information  

Science Conference Proceedings (OSTI)

This report summarises the requirements of research and academic network users for network access to multimedia information. It does this by investigating some of the projects planned or currently underway in the community. Existing information systems ...

C. Adie

1994-05-01T23:59:59.000Z

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


381

Network computing : limits and achievability  

E-Print Network (OSTI)

insufficiency of linear network cod- ing. 2009. [88] R.and K. Zeger. Network cod- ing for computing. In Allertonto target function f is C cod (N , f ) = sup k : ? (k, n)

Karamchandani, Nikhil

2011-01-01T23:59:59.000Z

382

Sharing the data center network  

Science Conference Proceedings (OSTI)

While today's data centers are multiplexed across many non-cooperating applications, they lack effective means to share their network. Relying on TCP's congestion control, as we show from experiments in production data centers, opens up the network to ...

Alan Shieh; Srikanth Kandula; Albert Greenberg; Changhoon Kim; Bikas Saha

2011-03-01T23:59:59.000Z

383

Reliable networks with unreliable sensors  

Science Conference Proceedings (OSTI)

Wireless sensor networks (WSNs) deployed in hostile environments suffer from a high rate of node failure. We investigate the effect of such failure rate on network connectivity. We provide a formal analysis that establishes the relationship between node ...

Srikanth Sastry; Tsvetomira Radeva; Jianer Chen; Jennifer L. Welch

2011-01-01T23:59:59.000Z

384

Broadcasting in unreliable radio networks  

E-Print Network (OSTI)

Practitioners agree that unreliable links, which sometimes deliver messages and sometime do not, are an important characteristic of wireless networks. In contrast, most theoretical models of radio networks fix a static set ...

Kuhn, Fabian

385

Broadcasting in Unreliable Radio Networks  

E-Print Network (OSTI)

Practitioners agree that unreliable links, which fluctuate between working and not working, are an important characteristic of wireless networks. In contrast, most theoretical models of radio networks fix a static set of ...

Oshman, Rotem

2010-06-08T23:59:59.000Z

386

Distributed data management in a minicomputer network: the SEEDIS experience  

Science Conference Proceedings (OSTI)

This paper describes distributed data management aspects of SEEDIS (Socio-Economic Environmental Demographic Information System). SEEDIS is an experimental system for the retrieval, analysis, and display of geographically linked data. SEEDIS operates on nine computers in a nationwide network. Users at any location select and retrieve all data in the same way, regardless of whether they are stored locally or at a remote location. The network implementation has been substantially modified during 1983. New enhancements include: local caching of data files to improve efficiency; linking to an automatic tape library (ATL) to make larger volumes of data accessible; node independence to facilitate automatic sharing of data among autonomous SEEDIS installations without the need for central control; improvements providing robust operation despite unreliable network connections; and automatic recording of all cache transactions for subsequent statistical analysis.

Merrill, D.; McCarthy, J.; Gey, F.; Holmes, H.

1982-10-07T23:59:59.000Z

387

Toward network data independence  

Science Conference Proceedings (OSTI)

A number of researchers have become interested in the design of global-scale networked systems and applications. Our thesis here is that the database community's principles and technologies have an important role to play in the design of these systems. ...

Joseph M. Hellerstein

2003-09-01T23:59:59.000Z

388

Transactional Network Platform: Applications  

Science Conference Proceedings (OSTI)

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.

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

2013-10-31T23:59:59.000Z

389

Social network probability mechanics  

Science Conference Proceedings (OSTI)

A new model for a random graph is proposed that can be constructed from empirical data and has some desirable properties compared to scale-free graphs [1, 2, 3] for certain applications. The newly proposed random graph maintains the same "small-world" ... Keywords: change detection, random graph, small-world, social networks

Ian A. Mcculloh; Joshua Lospinoso; Kathleen Carley

2007-12-01T23:59:59.000Z

390

Tutorial on biological networks  

Science Conference Proceedings (OSTI)

Understanding how the functioning of a biological system emerges from the interactions among its components is a long-standing goal of network science. Fomented by developments in high-throughput technologies to characterize biomolecules and their interactions, ... Keywords: Biological Data Mining, Data Mining Software Tools, Science and Technology

Francisco G. Vital-Lopez; Vesna Memiševi?; Bhaskar Dutta

2012-07-01T23:59:59.000Z

391

BER Science Network Requirements  

Science Conference Proceedings (OSTI)

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.

Dart, Eli; Tierney, Brian

2010-11-01T23:59:59.000Z

392

Operator theory of electrical resistance networks  

E-Print Network (OSTI)

A resistance network is a weighted graph $(G,c)$ with intrinsic (resistance) metric $R$. We embed the resistance network into the Hilbert space ${\\mathcal H}_{\\mathcal E}$ of functions of finite energy. We use the resistance metric to study ${\\mathcal H}_{\\mathcal E}$, and vice versa and show that the embedded images of the vertices $\\{v_x\\}$ form a reproducing kernel for this Hilbert space. We also obtain a discrete version of the Gauss-Green formula for resistance networks and show that resistance networks which support nonconstant harmonic functions of finite energy have a certain type of \\emph{boundary}. We obtain an analytic boundary representation for the harmonic functions of finite energy in a sense analogous to the Poisson or Martin boundary representations, but with different hypotheses, and for a different class of functions. In the process, we construct a dense space of "smooth" functions of finite energy and obtain a Gel'fand triple for ${\\mathcal H}_{\\mathcal E}$. This allows us to represent the resistance network as a system of Gaussian random variables indexed by vertices. We also study the spectral representation for $\\Delta$ on ${\\mathcal H}_{\\mathcal E}$ and show how nonzero defect entails a nontrivial boundary. All of the above are are detected by the operator theory of ${\\mathcal H}_{\\mathcal E}$ but not $\\ell^2$. Our results apply to the Heisenberg model for the isotropic ferromagnet, improving earlier results of R. T. Powers on the problem of long-range order (in reference to KMS states on the $C^\\ast$-algebra of the model).

Palle E. T. Jorgensen; Erin P. J. Pearse

2008-06-23T23:59:59.000Z

393

Production Network Supplier Characterization Project  

Science Conference Proceedings (OSTI)

... and compare energy and material efficiency across supply chain. No standard activities are presently identified for production network resilience ...

2012-05-29T23:59:59.000Z

394

Advanced Network Technologies Division Homepage  

Science Conference Proceedings (OSTI)

... network technologies, and develops, demonstrates, and ... project to develop measurement methodologies ... assist industry in developing standards for ...

2013-01-17T23:59:59.000Z

395

Applying Bayesian Network Techniques to Prioritize Lean Six Sigma Efforts  

Science Conference Proceedings (OSTI)

In order to retain competitive advantages, many manufacturing organizations have applied Lean Six Sigma techniques to improve production processes. The general approach for implementing Lean Six Sigma is to perform various projects to tackle specific ... Keywords: Bayesian Network, Cause-and-Effect Relationships, Events of Interest, Lean, Probabilistic Inference, Six Sigma

Yanzhen Li, Rapinder S. Sawhne, Joseph H. Wilck

2013-04-01T23:59:59.000Z

396

Author's personal copy Neural Networks 21 (2008) 458465  

E-Print Network (OSTI)

Special Issue Toyota Prius HEV neurocontrol and diagnostics$ Danil V. Prokhorov Toyota Technical Center, A division of Toyota Motor Engineering and Manufacturing North America (TEMA), Ann Arbor, MI 48105, United Abstract A neural network controller for improved fuel efficiency of the Toyota Prius hybrid electric

Prokhorov, Danil

397

User-level sentiment analysis incorporating social networks  

Science Conference Proceedings (OSTI)

We show that information about social relationships can be used to improve user-level sentiment analysis. The main motivation behind our approach is that users that are somehow "connected" may be more likely to hold similar opinions; therefore, relationship ... Keywords: opinion mining, sentiment analysis, social networks, twitter

Chenhao Tan; Lillian Lee; Jie Tang; Long Jiang; Ming Zhou; Ping Li

2011-08-01T23:59:59.000Z

398

Learning negotiation policies using IB3 and Bayesian networks  

Science Conference Proceedings (OSTI)

This paper presents an intelligent offer policy in a negotiation environment, in which each agent involved learns the preferences of its opponent in order to improve its own performance. Each agent must also be able to detect drifts in the opponent's ... Keywords: bayesian network, drift detection, ensemble-based algorithm, instance-based learning, negotiation

Gislaine M. Nalepa; Bráulio C. Ávila; Fabrício Enembreck; Edson E. Scalabrin

2010-09-01T23:59:59.000Z

399

Adaptive Header Compression for Wireless Networks Changli Jiao  

E-Print Network (OSTI)

Adaptive Header Compression for Wireless Networks Changli Jiao Department of Electrical without compression. From the standpoint of the communication medium, the channel usage will be improved at a lower speed if the gap between ACKs is too big. This will have two side results. First, the efficiency

Richard III, Golden G.

400

Multiple network interface core apparatus and method  

DOE Patents (OSTI)

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.

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

2011-04-26T23:59:59.000Z

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


401

Spatiotemporal multicast in sensor networks  

Science Conference Proceedings (OSTI)

Sensor networks often involve the monitoring of mobile phenomena. We believe this task can be facilitated by a spatiotemporal multicast protocol which we call "mobicast". Mobicast is a novel spatiotemporal multicast protocol that distributes a message ... Keywords: mobicast, network geometry, protocols, spatiotemporal multicast, wireless ad hoc networks

Qingfeng Huang; Chenyang Lu; Gruia-Catalin Roman

2003-11-01T23:59:59.000Z

402

Online social networks in economics  

Science Conference Proceedings (OSTI)

This paper describes how economists study social networks. While economists borrow from other fields like sociology or computer science, their approach of modeling of social networks is distinguished by the emphasis on the role of choices under constraints. ... Keywords: Economics, Information transmission, Social networks

Adalbert Mayer

2009-06-01T23:59:59.000Z

403

Security for wireless sensor networks  

Science Conference Proceedings (OSTI)

This chapter identifies the vulnerabilities associated with the operational paradigms currently employed by Wireless Sensor Networks. A survey of current WSN security research is presented. The security issues of Mobile Ad-Hoc Networks and infrastructure ... Keywords: WSN, security, sensor networks, wireless

Sasikanth Avancha; Jeffrey Undercoffer; Anupam Joshi; John Pinkston

2004-01-01T23:59:59.000Z

404

Theorizing mobility in community networks  

Science Conference Proceedings (OSTI)

Community networks emerged in North America during the late 1970s and early 1980s. During the past three decades, paradigms for networked information, services, and collaboration as resources for community development have evolved in many respects. In ... Keywords: Community informatics, Community networks, Municipal wireless

John M. Carroll; Mary Beth Rosson

2008-12-01T23:59:59.000Z

405

Mobility Modeling for Personal Networks  

Science Conference Proceedings (OSTI)

A Personal Network (PN) is a user-centric design interconnecting numerous devices belonging to a user in different geographic locations, such as home, office, car, etc., to form a single global network to offer fully personalized services. In PNs devices ... Keywords: Mobility model, PN clustering protocol, PN mobility model, Personal Networks, Stability analysis

Yanying Gu; R. Venkatesha Prasad; Ignas Niemegeers

2011-05-01T23:59:59.000Z

406

Stochastic hub and spoke networks  

E-Print Network (OSTI)

life to the early Roman water management and road network systems to modern day transportation systems and social networks such as Facebook and Twitter. The topic of this PhD thesis is an in-depth research study on a specific type of network system...

Hult, Edward Eric

2011-10-11T23:59:59.000Z

407

Social networking and scientific gateways  

Science Conference Proceedings (OSTI)

Online social networking has significantly increased in popularity over the past several years, with sites such as Facebook now boasting over 300 million members. Scientific gateways have much to gain by incorporating social networking functionality. ... Keywords: Elgg, Facebook, Ning, scientific gateways, social networking

Roger Curry; Cameron Kiddle; Rob Simmonds

2009-11-01T23:59:59.000Z

408

Body Area Networks: A Survey  

Science Conference Proceedings (OSTI)

Advances in wireless communication technologies, such as wearable and implantable biosensors, along with recent developments in the embedded computing area are enabling the design, development, and implementation of body area networks. This class of ... Keywords: body area networks, survey, wireless sensor networks

Min Chen; Sergio Gonzalez; Athanasios Vasilakos; Huasong Cao; Victor C. Leung

2011-04-01T23:59:59.000Z

409

VANS Role in the Advanced Network Infrastructure  

E-Print Network (OSTI)

network operations, maintenance, and management is becominggoing network management, maintenance, and modification. Innetwork monitoring management, and maintenance operations

Sprafkin, Jeffrey P.

1992-01-01T23:59:59.000Z

410

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...

411

Instructions for Using Virtual Private Network  

Energy.gov (U.S. Department of Energy (DOE))

Virtual Private Network provides access to network drives, and is recommended for use only from a ETIS-provided laptop. 

412

Multisensor Module for Networked Infomechanical Systems  

E-Print Network (OSTI)

Wireless networks links also include interfaces to distributed mote networks. • Energy for MultiSensor node operation

Jason Gordon; Kris Porter; Lisa Shirachi; Rachel Scollans; Victor Chen; William Kaiser

2005-01-01T23:59:59.000Z

413

Damage and repair of irradiated mammalian brain  

SciTech Connect

We have demonstrated that focal charged particle irradiation of the rabbit brain can create well-defined lesions which are observable by nuclear magnetic resonance imaging (NMR) and positron emission tomography (PET) imaging techniques. These are similar, in terms of location and characteristic NMR and PET features, to those that occur in the brain of about 10% of clinical research human subjects, who have been treated for intracranial vascular malformations with stereotactic radiosurgery. These lesions have been described radiologically as vasogenic edema of the deep white matter,'' and the injury is of variable intensity and temporal duration, can recede or progress to serious neurologic sequelae, and persist for a considerable period of time, frequently 18 mon to 3 yr. 8 refs., 6 figs.

Frankel, K.; Lo, E.; Phillips, M.; Fabrikant, J.; Brennan, K.; Valk, P.; Poljak, A.; Delapaz, R.; Woodruff, K. (Lawrence Berkeley Lab., CA (USA); Stanford Univ., CA (USA). Medical Center; Brookside Hospital, San Pablo, CA (USA))

1989-07-01T23:59:59.000Z

414

A Phase I Study of Short-Course Accelerated Whole Brain Radiation Therapy for Multiple Brain Metastases  

SciTech Connect

Purpose: To define the maximum tolerated dose (MTD) of a SHort-course Accelerated whole brain RadiatiON therapy (SHARON) in the treatment of patients with multiple brain metastases. Methods and Materials: A phase 1 trial in 4 dose-escalation steps was designed: 12 Gy (3 Gy per fraction), 14 Gy (3.5 Gy per fraction), 16 Gy (4 Gy per fraction), and 18 Gy (4.5 Gy per fraction). Eligibility criteria included patients with unfavorable recursive partitioning analysis (RPA) class > or =2 with at least 3 brain metastases or metastatic disease in more than 3 organ systems, and Eastern Cooperative Oncology Group (ECOG) performance status {<=}3. Treatment was delivered in 2 days with twice-daily fractionation. Patients were treated in cohorts of 6-12 to define the MTD. The dose-limiting toxicity (DLT) was defined as any acute toxicity {>=}grade 3, according to the Radiation Therapy Oncology Group scale. Information on the status of the main neurologic symptoms and quality of life were recorded. Results: Characteristics of the 49 enrolled patients were as follows: male/female, 30/19; median age, 66 years (range, 23-83 years). ECOG performance status was <3 in 46 patients (94%). Fourteen patients (29%) were considered to be in recursive partitioning analysis (RPA) class 3. Grade 1-2 acute neurologic (26.4%) and skin (18.3%) toxicities were recorded. Only 1 patient experienced DLT (neurologic grade 3 acute toxicity). With a median follow-up time of 5 months (range, 1-23 months), no late toxicities have been observed. Three weeks after treatment, 16 of 21 symptomatic patients showed an improvement or resolution of presenting symptoms (overall symptom response rate, 76.2%; confidence interval 0.95: 60.3-95.9%). Conclusions: Short-course accelerated radiation therapy in twice-daily fractions for 2 consecutive days is tolerated up to a total dose of 18 Gy. A phase 2 study has been planned to evaluate the efficacy on overall survival, symptom control, and quality of life indices.

Caravatta, Luciana; Deodato, Francesco; Ferro, Marica [Department of Radiation Oncology, Fondazione di Ricerca e Cura 'Giovanni Paolo II', Universita Cattolica del S. Cuore, Campobasso (Italy)] [Department of Radiation Oncology, Fondazione di Ricerca e Cura 'Giovanni Paolo II', Universita Cattolica del S. Cuore, Campobasso (Italy); Macchia, Gabriella, E-mail: gmacchia@rm.unicatt.it [Department of Radiation Oncology, Fondazione di Ricerca e Cura 'Giovanni Paolo II', Universita Cattolica del S. Cuore, Campobasso (Italy)] [Department of Radiation Oncology, Fondazione di Ricerca e Cura 'Giovanni Paolo II', Universita Cattolica del S. Cuore, Campobasso (Italy); Massaccesi, Mariangela [Department of Radiation Oncology, Fondazione di Ricerca e Cura 'Giovanni Paolo II', Universita Cattolica del S. Cuore, Campobasso (Italy)] [Department of Radiation Oncology, Fondazione di Ricerca e Cura 'Giovanni Paolo II', Universita Cattolica del S. Cuore, Campobasso (Italy); Cilla, Savino [Medical Physics Unit, Fondazione di Ricerca e Cura 'Giovanni Paolo II,' Universita Cattolica del S. Cuore, Campobasso (Italy)] [Medical Physics Unit, Fondazione di Ricerca e Cura 'Giovanni Paolo II,' Universita Cattolica del S. Cuore, Campobasso (Italy); Padula, Gilbert D.A. [Department of Radiation Oncology, The Lacks Cancer Center Saint Mary's Health Care, Grand Rapids, Michigan (United States)] [Department of Radiation Oncology, The Lacks Cancer Center Saint Mary's Health Care, Grand Rapids, Michigan (United States); Mignogna, Samantha; Tambaro, Rosa [Department of Palliative Therapies, Fondazione di Ricerca e Cura 'Giovanni Paolo II', Universita Cattolica del S. Cuore, Campobasso (Italy)] [Department of Palliative Therapies, Fondazione di Ricerca e Cura 'Giovanni Paolo II', Universita Cattolica del S. Cuore, Campobasso (Italy); Carrozza, Francesco [Department of Oncology, A. Cardarelli Hospital, Campobasso (Italy)] [Department of Oncology, A. Cardarelli Hospital, Campobasso (Italy); Flocco, Mariano [Madre Teresa di Calcutta Hospice, Larino (Italy)] [Madre Teresa di Calcutta Hospice, Larino (Italy); Cantore, Giampaolo [Department of Neurological Sciences, Istituto Neurologico Mediterraneo Neuromed, Istituto di Ricovero e Cura a Carattere Scientifico, Pozzilli (Italy)] [Department of Neurological Sciences, Istituto Neurologico Mediterraneo Neuromed, Istituto di Ricovero e Cura a Carattere Scientifico, Pozzilli (Italy); Scapati, Andrea [Department of Radiation Oncology, 'San Francesco' Hospital, Nuoro (Italy)] [Department of Radiation Oncology, 'San Francesco' Hospital, Nuoro (Italy); Buwenge, Milly [Department of Radiotherapy, Mulago Hospital, Kampala (Uganda)] [Department of Radiotherapy, Mulago Hospital, Kampala (Uganda); and others

2012-11-15T23:59:59.000Z

415

Improved fiberoptic spectrophotometer  

DOE Patents (OSTI)

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

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

1985-04-02T23:59:59.000Z

416

Brain-Computer Interfaces and Quantum Robots  

E-Print Network (OSTI)

The actual (classical) Brain-Computer Interface attempts to use brain signals to drive suitable actuators performing the actions corresponding to subject's intention. However this goal is not fully reached, and when BCI works, it does only in particular situations. The reason of this unsatisfactory result is that intention cannot be conceived simply as a set of classical input-output relationships. It is therefore necessary to resort to quantum theory, allowing the occurrence of stable coherence phenomena, in turn underlying high-level mental processes such as intentions and strategies. More precisely, within the context of a dissipative Quantum Field Theory of brain operation it is possible to introduce generalized coherent states associated, within the framework of logic, to the assertions of a quantum metalanguage. The latter controls the quantum-mechanical computing corresponding to standard mental operation. It thus become possible to conceive a Quantum Cyborg in which a human mind controls, through a quantum metalanguage, the operation of an artificial quantum computer.

Eliano Pessa; Paola zizzi

2009-09-08T23:59:59.000Z

417

Teacher Resource Center: Teacher Networks  

NLE Websites -- All DOE Office Websites (Extended Search)

Teacher Networks Teacher Networks TRC Home TRC Fact Sheet Library Curricular Resources Science Fair Resources Bibliographies sciencelines The Best of sciencelines Archives Annotated List of URLs Catalog Teacher's Lounge Full Workshop Catalog Customized Workshops Scheduled Workshops Special Opportunities Teacher Networks Science Lab Fermilab Science Materials Samplers Order Form Science Safety Issues Tech Room Fermilab Web Resources Fermilab offers support to area networks where teachers share successful teaching materials and strategies. These groups meet monthly or bimonthly during the school year in local schools or colleges in order to share skills, teaching strategies and materials. Patterned after the Illinois State Physics Project, most of these networks are spin-offs of Fermilab's

418

Advanced Network Toolkit for Assessments  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Network Toolkit for Assessments Network Toolkit for Assessments and Remote Mapping (ANTFARM) Uses existing information to passively map control systems networks and identify cyber security perimeters Control systems operators require a map of their energy control system network in order to identify its electronic security perimeter, critical to meeting the North American Electric Reliability Corporation's (NERC) Critical Infrastructure Protection (CIP) standards. However, purchasing active, online scanning tools specifically for network mapping can be costly, and these tools can disrupt control system function, causing system latency and possibly affecting power supply. The ANTFARM software tool enables system operators to remotely and

419

Surveillance Guides - Continous Improvement  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

CONTINUOUS IMPROVEMENT CONTINUOUS IMPROVEMENT 1.0 Objective The objective of this surveillance is to verify that contractor personnel are effectively managing environment, safety, and health issues in a manner that fosters continuous improvement. The activities included in this surveillance help the Facility Representative determine whether safety issues identified through internal contractor, and external DOE or Defense Nuclear Facilities Safety Board evaluation programs are resolved consistent with the level of safety importance. 2.0 References 2.1 DOE O 414.1, Quality Assurance 2.2 DOE O 232.1, Occurrence Reporting and Processing of Operations Information 2.3 DOE-STD-1045-93, Guide to Good Practices for Notifications and Investigations of Abnormal Events 2.4 48 CFR 1970.5204, Department of Energy Acquisition

420

SNL evaluation of Gigabit Passive Optical Networks (GPON).  

SciTech Connect

Gigabit Passive Optical Networks (GPON) is a networking technology which offers the potential to provide significant cost savings to Sandia National Laboratories in the area of network operations. However, a large scale GPON deployment requires a significant investment in equipment and infrastructure. Before a large scale GPON system was acquired and built, a small GPON system manufactured by Motorola was acquired and tested. The testing performed was to determine the suitability of GPON for use at SNL. This report documents that testing. This report presents test results of GPON system consisting of Motorola and Juniper equipment. The GPON system was tested in areas of data throughput, video conferencing, VOIP, security, and operations and management. The GPON system performed well in almost all areas. GPON will not meet the needs of the low percentage of users requiring a true 1-10 Gbps network connection. GPON will also most likely not meet the need of some servers requiring dedicated throughput of 1-10 Gbps. Because of that, there will be some legacy network connections that must remain. If these legacy network connections can not be reduced to a bare minimum and possibly consolidated to a few locations, any cost savings gained by switching to GPON will be negated by maintaining two networks. A contract has been recently awarded for new GPON equipment with larger buffers. This equipment should improve performance and further reduce the need for legacy network connections. Because GPON has fewer components than a typical hierarchical network, it should be easier to manage. For the system tested, the management was performed by using the AXSVison client. Access to the client must be tightly controlled, because if client/server communications are compromised, security will be an issue. As with any network, the reliability of individual components will determine overall system reliability. There were no failures with the routers, OLT, or Sun Workstation Management platform. There were however four ONTs that failed. Because of the small sample size of 64, and the fact that some of the ONTs were used units, no conclusions can be made. However, ONT reliability is an area of concern. Access to the fiber plant that GPON requires must be tightly controlled and all changes documented. The undocumented changes that were performed in the GPON test lab demonstrated the need for tight control and documentation. In summary, GPON should be able to meet the needs of most network users at Sandia National Laboratories. Because it supports voice, video, and data, it positions Sandia National Laboratories to deploy these services to the desktop. For the majority of corporate network users at Sandia National Laboratories GPON should be a suitable replacement for the legacy network.

Heckart, David G.; Roybal, Glen B.; Walker, Betty R.; Pratt, Thomas Joseph; Gossage, Steven Allen; Trujillo, Sandra M.; Fischer, Bob; Brenkosh, Joseph Peter; Rudolfo, Gerald F.; Dirks, David H.; Schutt, James Alan

2009-08-01T23:59:59.000Z

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


421

On the availability of networks  

E-Print Network (OSTI)

In all networks that provide a service to the consumer, one of the main performance indicators is availability. The consumer, the user of the service, wants to be able to use the service for at least X % of the time. In order to be able to make such guarantees and commit to them in Service Level Agreements, network operators need to know their network availability. In this paper, we discuss how network availability can be algorithmically computed and we derive analytical expressions for several different network topologies. Finally we show how these results can be used to compute availability of real-life networks, such as SURFnet – a high-speed Dutch national network.

Wenzhu Zou; Milena Janic; Robert Kooij; O Kuipers

2007-01-01T23:59:59.000Z

422

Improved energy sealing capability  

DOE Green Energy (OSTI)

In response to the need for tapping national energy resources, an improved high temperature sealing material has been developed through the sponsorship of the Department of Energy. Parker Seal was selected as one of the technology transferees from L'Garde Inc. and has optimized this transferred technology for further improved performance capabilities and acceptable plant processing. This paper summarizes Parker Seal's testing and evaluation efforts on L'Garde's Y267 transferred technology for a new geothermal and stream service material. This new product, Parker's E962-85 is described in this paper.

Barsoumian, Jerry L.

1982-10-08T23:59:59.000Z

423

Towards a task oriented method for accessing network based services  

Science Conference Proceedings (OSTI)

Today's networked users are required to configure a number of different network settings on their computer in order to access specific network based services. For example, these users need to know whether to enable a Virtual Private Network (VPN) tunnel ... Keywords: borderless networks, flyout, identity based networking, network access, network security, networking, user credentials, user interface, virtual private network

Nils Pedersen; Paul Clark; Martine Freiberger

2010-11-01T23:59:59.000Z

424

Energy-Efficient Networks  

NLE Websites -- All DOE Office Websites (Extended Search)

Architecting and Operating Architecting and Operating Energy-Efficient Networks Inder Monga (ESnet) With input from Dan Kilper, Thierry Klein (Bell Labs) Vijay Sivaraman (UNSW, Australia) Jaafar Elmirghani (University of Leeds, UK) § Global research consortium representing industry, government and academic organizations § Launched in May 2010 § Focus on sustainability and growth § Holistic and ambitious: Goal of 1000x § 57 member organizations § 300+ leading scientists § Recognized by the World Economic Forum as an industry-led best practice toward sustainability DELIVER ARCHITECTURE, SPECIFICATIONS AND SOLUTIONS AND DEMONSTRATE KEY TECHNOLOGIES TO INCREASE NETWORK ENERGY EFFICIENCY BY A FACTOR 1000 COMPARED TO 2010 GREENTOUCH(tm) (www.greentouch.org)

425

Friends Troubleshooting Network: Towards  

E-Print Network (OSTI)

Content sharing is a popular usage of peerto -peer systems for its inherent scalability and low cost of maintenance. In this paper, we leverage this nature of peer-to-peer systems to tackle a new problem: automatic misconfiguration troubleshooting. In this setting, machine configurations from the peers are "shared" to diagnose the misconfigurations on a sick machine. A key challenge for such a troubleshooting system is privacy preservation. To this end, we construct Friends Troubleshooting Network (FTN), a peer-to-peer overlay network, where the links between peer machines reflect the friendship of their owners. To preserve privacy, we use historyless and futureless random-walk in the FTN, during which search along with parameter aggregation are carried out for the purpose of troubleshooting. Many of our techniques can be applied to other application scenarios that require privacy-preserving distributed computing and information aggregation. We have also identified a number of open challenges that remain to be addressed.

Privacy-Preserving Automatic Troubleshooting; Helen J. Wang; Yih-chun Hu; Chun Yuan; Zheng Zhang; Yi-min Wang; U. C. Berkeley

2004-01-01T23:59:59.000Z

426

Urban Network Practices  

Science Conference Proceedings (OSTI)

This report describes the findings of an underground distribution practices immersion conducted by the Electric Power Research Institute (EPRI) with Duke Energy Ohio. This immersion was conducted as part of a multiyear effort by EPRI to identify noteworthy practices in managing urban network systems. More specifically, this report profiles the practices (people, processes, and technology) in place at Duke Energy Ohio, a company serving the Cincinnati, Ohio, metropolitan area. In addition, this report hig...

2011-03-31T23:59:59.000Z

427

Urban Network System Practices  

Science Conference Proceedings (OSTI)

This report describes the results of Phase I of a multi-year effort to identify noteworthy practices in managing urban network systems. The report profiles the practices (people, processes, and technology) in place at two host utilities: Seattle City Light (SCL), a small (375,000 customers) municipal utility, and Consolidated Edison (Con Edison), a large (3.2 million customers) investor-owned utility. The results illustrate the similarities and differences between the two utilities, describe the challeng...

2008-07-23T23:59:59.000Z

428

Urban Network Systems Practices  

Science Conference Proceedings (OSTI)

This report describes the findings of an underground distribution practices immersion conducted by the Electric Power Research Institute (EPRI) with CenterPoint Energy (CenterPoint). This immersion was conducted as part of a multiyear effort by EPRI to identify noteworthy practices in managing urban network systems. The report profiles the practices (that is, people, processes, and technology) in place at CenterPoint, a company serving the Houston, Texas, metropolitan area. This report is one of a serie...

2010-12-02T23:59:59.000Z

429

Infant Brain Tumors: Incidence, Survival, and the Role of Radiation Based on Surveillance, Epidemiology, and End Results (SEER) Data  

SciTech Connect

Purpose: To evaluate the incidence of infant brain tumors and survival outcomes by disease and treatment variables. Methods and Materials: The Surveillance, Epidemiology, and End Results (SEER) Program November 2008 submission database provided age-adjusted incidence rates and individual case information for primary brain tumors diagnosed between 1973 and 2006 in infants less than 12 months of age. Results: Between 1973 and 1986, the incidence of infant brain tumors increased from 16 to 40 cases per million (CPM), and from 1986 to 2006, the annual incidence rate averaged 35 CPM. Leading histologies by annual incidence in CPM were gliomas (13.8), medulloblastoma and primitive neuroectodermal tumors (6.6), and ependymomas (3.6). The annual incidence was higher in whites than in blacks (35.0 vs. 21.3 CPM). Infants with low-grade gliomas had the highest observed survival, and those with atypical teratoid rhabdoid tumors (ATRTs) or primary rhabdoid tumors of the brain had the lowest. Between 1979 and 1993, the annual rate of cases treated with radiation within the first 4 months from diagnosis declined from 20.5 CPM to <2 CPM. For infants with medulloblastoma, desmoplastic histology and treatment with both surgery and upfront radiation were associated with improved survival, but on multivariate regression, only combined surgery and radiation remained associated with improved survival, with a hazard ratio for death of 0.17 compared with surgery alone (p = 0.005). For ATRTs, those treated with surgery and upfront radiation had a 12-month survival of 100% compared with 24.4% for those treated with surgery alone (p = 0.016). For ependymomas survival was higher in patients treated in more recent decades (p = 0.001). Conclusion: The incidence of infant brain tumors has been stable since 1986. Survival outcomes varied markedly by histology. For infants with medulloblastoma and ATRTs, improved survival was observed in patients treated with both surgery and early radiation compared with those treated with surgery alone.

Bishop, Andrew J. [Department of Radiation Oncology, Indiana University School of Medicine, Indianapolis, IN (United States); McDonald, Mark W., E-mail: mwmcdona@iupui.edu [Department of Radiation Oncology, Indiana University School of Medicine, Indianapolis, IN (United States); Indiana University Health Proton Therapy Center, Bloomington, IN (United States); Chang, Andrew L. [Department of Radiation Oncology, Indiana University School of Medicine, Indianapolis, IN (United States); Indiana University Health Proton Therapy Center, Bloomington, IN (United States); Esiashvili, Natia [Department of Radiation Oncology, Emory University School of Medicine, Atlanta, GA (United States)

2012-01-01T23:59:59.000Z

430

Memory Function Before and After Whole Brain Radiotherapy in Patients With and Without Brain Metastases  

Science Conference Proceedings (OSTI)

Purpose: To prospectively compare the effect of prophylactic and therapeutic whole brain radiotherapy (WBRT) on memory function in patients with and without brain metastases. Methods and Materials: Adult patients with and without brain metastases (n = 44) were prospectively evaluated with serial cognitive testing, before RT (T0), after starting RT (T1), at the end of RT (T2), and 6-8 weeks (T3) after RT completion. Data were obtained from small-cell lung cancer patients treated with prophylactic cranial irradiation, patients with brain metastases treated with therapeutic cranial irradiation (TCI), and breast cancer patients treated with RT to the breast. Results: Before therapy, prophylactic cranial irradiation patients performed worse than TCI patients or than controls on most test scores. During and after WBRT, verbal memory function was influenced by pretreatment cognitive status (p radiation effects on verbal memory function were only observed in TCI patients (p = 0.031). Subacute (T3) radiation effects on verbal memory function were observed in both TCI and prophylactic cranial irradiation patients (p = 0.006). These effects were more pronounced in patients with above-average performance at baseline. Visual memory and attention were not influenced by WBRT. Conclusions: The results of our study have shown that WBRT causes cognitive dysfunction immediately after the beginning of RT in patients with brain metastases only. At 6-8 weeks after the end of WBRT, cognitive dysfunction was seen in patients with and without brain metastases. Because cognitive dysfunction after WBRT is restricted to verbal memory, patients should not avoid WBRT because of a fear of neurocognitive side effects.

Welzel, Grit [Department of Radiation Oncology, University Medical Center Mannheim, University of Heidelberg, Mannheim (Germany)], E-mail: grit.welzel@radonk.ma.uni-heidelberg.de; Fleckenstein, Katharina [Department of Radiation Oncology, University Medical Center Mannheim, University of Heidelberg, Mannheim (Germany); Department of Radiation Oncology, Duke University Medical Center, Durham, NC (United States); Schaefer, Joerg; Hermann, Brigitte; Kraus-Tiefenbacher, Uta; Mai, Sabine K.; Wenz, Frederik [Department of Radiation Oncology, University Medical Center Mannheim, University of Heidelberg, Mannheim (Germany)

2008-12-01T23:59:59.000Z

431

Insecurity of Wireless Networks  

SciTech Connect

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.

Sheldon, Frederick T [ORNL; Weber, John Mark [Dynetics, Inc.; Yoo, Seong-Moo [University of Alabama, Huntsville; Pan, W. David [University of Alabama, Huntsville

2012-01-01T23:59:59.000Z

432

Improved vortex reactor system  

DOE Patents (OSTI)

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

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

1995-01-01T23:59:59.000Z

433

Gas network model allows full reservoir coupling  

Science Conference Proceedings (OSTI)

The gas-network flow model (Gasnet) developed for and added to an existing Qatar General Petroleum Corp. (OGPC) in-house reservoir simulator, allows improved modeling of the interaction among the reservoir, wells, and pipeline networks. Gasnet is a three-phase model that is modified to handle gas-condensate systems. The numerical solution is based on a control volume scheme that uses the concept of cells and junctions, whereby pressure and phase densities are defined in cells, while phase flows are defined at junction links. The model features common numerical equations for the reservoir, the well, and the pipeline components and an efficient state-variable solution method in which all primary variables including phase flows are solved directly. Both steady-state and transient flow events can be simulated with the same tool. Three test cases show how the model runs. One case simulates flow redistribution in a simple two-branch gas network. The second simulates a horizontal gas well in a waterflooded gas reservoir. The third involves an export gas pipeline coupled to a producing reservoir.

Methnani, M.M. [Qatar General Petroleum Corp., Doha (Qatar)

1998-02-23T23:59:59.000Z

434

Multi-Flip Networks: Extending Symmetric Networks to Real Parallelism  

E-Print Network (OSTI)

In general, neural networks are regarded as models for massively parallel computation. But very often, this parallelism is rather limited, especially when considering symmetric networks. For instance, Hopfield networks do not really compute in parallel as their updating algorithm always requires sequential execution. Nevertheless, Hopfield networks can be used as auto-associative memories, were shown to have an expressive power equivalent to propositional logic, and can be used to solve several combinatorial problems. Extensions like the Boltzmann Machine with continuous activation functions can additionally be used to solve optimization problems. But, all of these approaches suffer from one disadvantage, namely the impossibility to perform simultaneous computations of more than one unit, i.e. real parallelism. We describe a recurrent network corresponding to a symmetric network and introduce a method of parallel updating multiple units. We show how this may be extended to ...

Antje Strohmaier; Fachgebiet Intellektik; Fachbereich Informatik; Technische Hochschule Darmstadt

1996-01-01T23:59:59.000Z

435

Achievable Rate and Optimal Physical Layer Rate Allocation in Interference-Free Wireless Networks  

E-Print Network (OSTI)

We analyze the achievable rate in interference-free wireless networks with physical layer fading channels and orthogonal multiple access. As a starting point, the point-to-point channel is considered. We find the optimal physical and network layer rate trade-off which maximizes the achievable overall rate for both a fixed rate transmission scheme and an improved scheme based on multiple virtual users and superposition coding. These initial results are extended to the network setting, where, based on a cut-set formulation, the achievable rate at each node and its upper bound are derived. We propose a distributed optimization algorithm which allows to jointly determine the maximum achievable rate, the optimal physical layer rates on each network link, and an opportunistic back-pressure-type routing strategy on the network layer. This inherently justifies the layered architecture in existing wireless networks. Finally, we show that the proposed layered optimization approach can achieve almost all of the ergodic ...

Cui, Tao; Kliewer, Joerg

2009-01-01T23:59:59.000Z

436

An evaluation of parallel optimization for OpenSolaris Network Stack  

SciTech Connect

Computing is now shifting towards multiprocessing. The fundamental goal of multiprocessing is improved performance through the introduction of additional hardware threads or cores (referred to as 'cores' for simplicity). Modern network stacks can exploit parallel cores to allow either message-based parallelism or connection-based parallelism as a means to enhance performance. OpenSolaris has redesigned and parallelized to better utilize additional cores. Three special technologies, named Softring Set, Soft ring and Squeue are introduced in OpenSolaris for stack parallelization. In this paper, we study the OpenSolaris packet receiving process and its core parallelism optimization techniques. Experiment results show that these techniques allow OpenSolaris to achieve better network I/O performance in multiprocessing environments; however, network stack parallelization has also brought extra overheads for system. An effective and efficient network I/O optimization in multiprocessing environments is required to cross all levers of the network stack from network interface to application.

Zou, Hongbo; Wu, Wenji; /Fermilab; Sun, Xian-He; /IIT, Chicago; DeMar, Phil; Crawford, Matt; /Fermilab

2010-10-01T23:59:59.000Z

437

Wireless Sensors and Networks for Advanced Energy Management  

SciTech Connect

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.

Hardy, J.E.

2005-05-06T23:59:59.000Z

438

Routing algorithms for large scale wireless sensor networks  

E-Print Network (OSTI)

Routing in sensor networks is a challenging issue due to inherent constraints such as power, memory, and CPU processing capabilities. In this thesis, we assume an All to All communication mode in an N × N grid sensor network. We explore routing algorithms which load balance the network without compromising the shortest paths constrain. We analyzed the Servetto method and studied two routing strategies, namely Horizontal-Vertical routing and Zigzag routing. The problem is divided into two scenarios, one being the static case (without failed nodes), and the other being the dynamic case (with failed nodes). In static network case, we derived mathematical formulae representing the maximum and minimum loads on a sensor grid, when specific routing strategies are employed. We show improvement in performance in load balancing of the grid by using Horizontal-Vertical method instead of the existing Servetto method. In the dynamic network scenario, we compare the performance of routing strategies with respect to probability of failure of nodes in the grid network. We derived the formulae for the success-ratio, in specific strategies, when nodes fail with a probability of p in a predefined source-destination pair communication. We show that the Servetto method does not perform well in both scenarios. In addition, Hybrid strategy proposed does not perform well compared to the studied strategies. We support the derived formulae and the performance of the routing strategies with extensive simulations.

Nittala Venkata, Lakshmana Prasanth

2004-12-01T23:59:59.000Z

439

User interactions in social networks and their implications  

E-Print Network (OSTI)

Social networks are popular platforms for interaction, communication and collaboration between friends. Researchers have recently proposed an emerging class of applications that leverage relationships from social networks to improve security and performance in applications such as email, web browsing and overlay routing. While these applications often cite social network connectivity statistics to support their designs, researchers in psychology and sociology have repeatedly cast doubt on the practice of inferring meaningful relationships from social network connections alone. This leads to the question: Are social links valid indicators of real user interaction? If not, then how can we quantify these factors to form a more accurate model for evaluating sociallyenhanced applications? In this paper, we address this question through a detailed study of user interactions in the Facebook social network. We propose the use of interaction graphs to impart meaning to online social links by quantifying user interactions. We analyze interaction graphs derived from Facebook user traces and show that they exhibit significantly lower levels of the “small-world ” properties shown in their social graph counterparts. This means that these graphs have fewer “supernodes ” with extremely high degree, and overall network diameter increases significantly as a result. To quantify the impact of our observations, we use both types of graphs to validate two well-known socialbased applications (RE [Garriss 2006] and SybilGuard [Yu 2006]). The results reveal new insights into both systems, and confirm our hypothesis that studies of social applications should use real indicators of user interactions in lieu of social graphs.

Christo Wilson; Bryce Boe; Alessandra Sala; Krishna P. N. Puttaswamy; Ben Y. Zhao

2009-01-01T23:59:59.000Z

440

Cognitive informatics and denotational mathematical means for brain informatics  

Science Conference Proceedings (OSTI)

Cognitive informatics studies the natural intelligence and the brain from a theoretical and a computational approach, which rigorously explains the mechanisms of the brain by a fundamental theory known as abstract intelligence, and formally models the ... Keywords: RTPA, abstract intelligence, artificial intelligence, brain informatics, cognitive computers, cognitive computing, cognitive informatics, computational intelligence, concept algebra, denotational mathematics, ebrain, engineering applications, granular algebra, machinable intelligence, natural intelligence, system algebra, visual semantic algebra

Yingxu Wang

2010-08-01T23:59:59.000Z

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441

A virtual ad hoc network testbed  

Science Conference Proceedings (OSTI)

Testing of applications for ad hoc networks poses a special technical challenge due to the difficulty of conducting experiments in an ad hoc network environment at a scale larger than a few nodes. One approach is to conduct experiments in a testbed that ... Keywords: MANETs, SITL, VAN, emulation, hybrid testbed, mobile ad hoc networks, mobile networks, network management, shadow nodes, simulation, software-in-, the-loop, virtual ad hoc networks, virtual machines, virtual networks, virtualisation

Alex Poylisher; Constantin Serban; John Lee; Tai-Chuan Lu; Ritu Chadha; Cho-Yu Jason Chiang; Robert Orlando; Kimberly Jakubowski

2010-07-01T23:59:59.000Z

442

Multiple crossbar network: A switched high-speed local network  

SciTech Connect

The Multiple Crossbar Network (MCN) is a prototype High-Speed Local Network at the Los Alamos National Laboratory. It will interconnect supercomputers, network servers and workstations from various commercial vendors. The MCN can also serve as a backbone for message traffic between local area networks. The MCN is a switched local network of switching nodes called Cross-Point Stars (CPs). Hosts and CPs are connected by 800-Mbit/s (100-Mbyte/s) point-to-point ANSI High-Speed Channels. CPs include RISC-based network protocol processors called Crossbar Interfaces and a switching core called the Crossbar Switch. Protocols include physical, data link, intranet, and network access functionality. Various internet and transport protocols are intended to run above the MCN protocol suite. A network management and simple naming service is also included within the Los Alamos Network Architecture. Immediate applications include visualization. The MCN is intended to also serve as a framework for multicomputer applications. 36 refs., 10 figs.

Hoebelheinrich, R.; Thomsen, R.

1989-01-01T23:59:59.000Z

443

NIST Mini-sensor Measures Magnetic Activity in Human Brain  

Science Conference Proceedings (OSTI)

... to measure alpha waves in the brain associated with a person opening and closing their eyes as well as signals resulting from stimulation of the ...

2012-05-07T23:59:59.000Z

444

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

This ground-breaking technology consists of miniature brain implants for automatic prediction and control of seizures ... A system and method for ...

445

A fuzzified BRAIN algorithm for learning DNF from incomplete data  

E-Print Network (OSTI)

Aim of this paper is to address the problem of learning Boolean functions from training data with missing values. We present an extension of the BRAIN algorithm, called U-BRAIN (Uncertainty-managing Batch Relevance-based Artificial INtelligence), conceived for learning DNF Boolean formulas from partial truth tables, possibly with uncertain values or missing bits. Such an algorithm is obtained from BRAIN by introducing fuzzy sets in order to manage uncertainty. In the case where no missing bits are present, the algorithm reduces to the original BRAIN.

Rampone, Salvatore

2010-01-01T23:59:59.000Z

446

GAS MAIN SENSOR AND COMMUNICATIONS NETWORK SYSTEM  

Science Conference Proceedings (OSTI)

Automatika, Inc. was contracted by the Department of Energy (DOE) and with co-funding from the New York Gas Group (NYGAS), to develop an in-pipe natural gas prototype measurement and wireless communications system for assessing and monitoring distribution networks. In Phase II of this three-phase program, an improved prototype system was built for low-pressure cast-iron and high-pressure steel (including a no-blow installation system) mains and tested in a serial-network configuration in a live network in Long Island with the support of Keyspan Energy, Inc. The experiment was carried out in several open-hole excavations over a multi-day period. The prototype units (3 total) combined sensors capable of monitoring pressure, flow, humidity, temperature and vibration, which were sampled and combined in data-packages in an in-pipe master-repeater-slave configuration in serial or ladder-network arrangements. It was verified that the system was capable of performing all data-sampling, data-storage and collection as expected, yielding interesting results as to flow-dynamics and vibration-detection. Wireless in-pipe communications were shown to be feasible and the system was demonstrated to run off in-ground battery- and above-ground solar power. The remote datalogger access and storage-card features were demonstrated and used to log and post-process system data. Real-time data-display on an updated Phase-I GUI was used for in-field demonstration and troubleshooting.

Hagen Schempf

2004-09-30T23:59:59.000Z

447

Operations Improvement Surveys  

E-Print Network (OSTI)

Exxon Chemical Company developed unique site-wide energy optimization technology in the mid1970's. This technology was applied by means of site energy surveys which were carried out at every major Exxon facility throughout the world during the 1976-1981 timeframe. The first 20% of energy savings, versus the 1972 reference, had already been captured or was in progress via conventional energy conservation methods. The site energy surveys identified attractive investments to save a second 20% of energy use. In early 1982, Exxon Corp. started to apply this same technology to its major facilities to define attractive NO INVESTMENT and LOW INVESTMENT operational improvement savings which could be implemented quickly. This presentation covers Exxon's approach to site energy optimization and the Operations Improvement Survey Program. The Program has identified at many sites, an average of 5% reduction in today's energy costs at No/Low investment plus additional savings in the feedstock and energy supply areas.

Guide, J. J.; O'Brien, W. J.

1984-01-01T23:59:59.000Z

448

Improved solar heating systems  

DOE Patents (OSTI)

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

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

1980-05-16T23:59:59.000Z

449

Improved collecting apparatus  

DOE Patents (OSTI)

An improved collecting apparatus for small aquatic or airborne organisms such as plankton, larval fish, insects, etc. The improvement constitutes an apertured removal container within which is retained a collecting bag, and which is secured at the apex of a conical collecting net. Such collectors are towed behind a vessel or vehicle with the open end of the conical net facing forward for trapping the aquatic or airborne organisms within the collecting bag, while allowing the water or air to pass through the apertures in the container. The container is readily removable from the collecting net whereby the collecting bag can be quickly removed and replaced for further sample collection. The collecting bag is provided with means for preventing the bag from being pulled into the container by the water or air following therethrough.

Duncan, C.P.

1981-03-05T23:59:59.000Z

450

Improving PPM Using Dictionaries  

E-Print Network (OSTI)

We propose a method to improve traditional character-based PPM text compression algorithms. Consider a text file as a sequence of alternating words and non-words, the basic idea of our algorithm is to encode non-words and prefixes of words using character-based context models and encode suffixes of words using dictionary models. By using dictionary models, the algorithm can encode multiple characters as a whole, and thus enhance the compression efficiency. The advantages of the proposed algorithm are: 1) it does not require any text preprocessing; 2) it does not need any explicit codeword to identify switch between context and dictionary models; 3) it can be applied to any character-based PPM algorithms without incurring much additional computational cost. Test results show that significant improvements can be obtained over character-based PPM, especially in low order cases.

Hu, Yichuan; Zhang,; Khan, Farooq; Li, Ying

2010-01-01T23:59:59.000Z

451

Membranes Improve Insulation Efficiency  

E-Print Network (OSTI)

It has been determined from extensive tests involving test models and home attics that loose fill and fiber batt insulation does not function as expected by the industry. The reason for this deficiency is current test methods do not accurately predict the magnitude of air infiltration into fiber insulation as used in home attics, radiant heat infiltration into the insulation during summer, or radiant heat loss through the insulation during winter conditions. The use of (1) moisture permeable membranes over the insulation, and (2) layered membranes between fiber batts to form closed cells in the insulation both dramatically improve the efficiency of the fiber insulation. The efficiency of this insulation will be improved to an even greater degree if these membranes reflect radiant heat as well as reduce convection air currents. Extensive tests have also been conducted which show that if moisture permeable membranes are used over fiber insulation, the moisture content of the insulation will be reduced.

Bullock, C. A.

1986-01-01T23:59:59.000Z

452

Improving Floating Point Compression  

NLE Websites -- All DOE Office Websites (Extended Search)

Improving Improving Floating Point Compression through Binary Masks Leonardo A. Bautista Gomez Argonne National Laboratory Franck Cappello Argonne National Laboratory Abstract-Modern scientific technology such as particle accel- erators, telescopes and supercomputers are producing extremely large amounts of data. That scientific data needs to be processed using systems with high computational capabilities such as supercomputers. Given that the scientific data is increasing in size at an exponential rate, storing and accessing the data is becoming expensive in both, time and space. Most of this scientific data is stored using floating point representation. Scientific applications executed in supercomputers spend a large amount of CPU cycles reading and writing floating point values, making data compression techniques an interesting way to increase computing efficiency.

453

Positron Scanner for Locating Brain Tumors  

DOE R&D Accomplishments (OSTI)

A system is described that makes use of positron emitting isotopes for locating brain tumors. This system inherently provides more information about the distribution of radioactivity in the head in less time than existing scanners which use one or two detectors. A stationary circular array of 32 scintillation detectors scans a horizontal layer of the head from many directions simultaneously. The data, consisting of the number of counts in all possible coincidence pairs, are coded and stored in the memory of a Two-Dimensional Pulse-Height Analyzer. A unique method of displaying and interpreting the data is described that enables rapid approximate analysis of complex source distribution patterns. (auth)

Rankowitz, S.; Robertson, J. S.; Higinbotham, W. A.; Rosenblum, M. J.

1962-03-00T23:59:59.000Z

454

IMPROVEMENTS IN POWER PLANT  

SciTech Connect

A power plant for nuclear reactors is designed for improved cycle efficiency. In addition to the usual heat exchanger for heat transfer from gaseous reactor coolant to water for vaporization, a second heat exchanger is provided between the first heat exchanger and a point betwveen the intermediate- pressure and low-pressure turbine stages. In this way, interstage reheating of the steam is obtained without passage of the steam back to the first heat exchanger. (D.L.C.) Research Reactors

Peters, M.C.

1961-10-11T23:59:59.000Z

455

Improved vortex reactor system  

DOE Patents (OSTI)

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

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

1995-05-09T23:59:59.000Z

456

NETL: Power Plant Improvement Initiative  

NLE Websites -- All DOE Office Websites (Extended Search)

PPII Major Demonstrations Power Plant Improvement Initiative (PPII) The Power Plant Improvement Initiative (PPII) was established in October 2000 to further the commercial-scale...

457

Restricted Bayesian Network Structure Learning  

E-Print Network (OSTI)

Learning the structure of a Bayesian network from data is a difficult problem, as its associated search space is exponentially large. As a consequence, researchers have studied learning Bayesian networks with a fixed structure, notably naive Bayesian networks and tree-augmented Bayesian networks. There is substantial evidence in the literature that the performance of such restricted networks can be surprisingly good. In this paper, we propose a restricted, polynomial time structure learning algorithm that is not as restrictive as both other approaches, and allows researchers to determine the right balance between performance in dealing with classification, as well as with respect to quality of the underlying probability distribution. The results obtained with this algorithm allows drawing some conclusions with regard to Bayesian-network structure learning in general.

Peter Lucas

2002-01-01T23:59:59.000Z

458

802.16 mesh networking  

E-Print Network (OSTI)

We present an overview of the 802.16 mesh protocol with a specific focus on the networking aspects of the protocol. We first review the 802.16 mesh Time Division Multiple Access (TDMA) technology, including state of the art research on scheduling algorithms required by the technology. We then propose an addressing assignment for the 802.16 mesh networks that allows the network layer to take advantage of Qualityof-Service (QoS) provided by the 802.16 mesh protocol. Our addressing scheme allows network layer management of QoS at the edge of the network, thus allowing for simplicity in design of mesh routers. We also overview the security infrastructure of 802.16 mesh networks and their flaws. We propose an end-to-end security scheme that simplifies the design of 802.16 mesh routers. 1

Petar Djukic; Shahrokh Valaee

2007-01-01T23:59:59.000Z

459

MemzNet: Memory-Mapped Zero-copy Network Channel for Moving Large Datasets over 100Gbps Network ?  

E-Print Network (OSTI)

High-bandwidth networks are poised to provide new opportunities in tackling large data challenges in today’s scientific applications. However, increasing the bandwidth is not sufficient by itself; we need careful evaluation of future high-bandwidth networks from the applications ’ perspective. We have experimented with current state-of-the-art data movement tools, and realized that file-centric data transfer protocols do not perform well with managing the transfer of many small files in high-bandwidth networks, even when using parallel streams or concurrent transfers. We require enhancements in current middleware tools to take advantage of future networking frameworks. To improve performance and efficiency, we develop an experimental prototype, called MemzNet: Memory-mapped Zero-copy Network Channel, which uses a block-based data movement method in moving large scientific datasets. We have implemented MemzNet that takes the approach of aggregating files into blocks and providing dynamic data channel management. In this work, we present our initial results in 100Gbps networks.

Mehmet Balman

2012-01-01T23:59:59.000Z

460

Design, Simulation, and Analysis of Substation Automation Networks  

E-Print Network (OSTI)

Society depends on computer networks for communication. The networks were built to support and facilitate several important applications such as email, web browsing and instant messaging. Recently, there is a significant interest in leveraging modern local and wide area communication networks for improving reliability and performance in critical infrastructures. Emerging critical infrastructure applications, such as smart grid, require a certain degree of reliability and Quality of Service (QoS). Supporting these applications requires network protocols that enable delay sensitive packet delivery and packet prioritization. However, most of the traditional networks are designed to provide best effort service without any support for QoS. The protocols used in these networks do not support packet prioritization, delay requirements and reliability. In this thesis, we focus on the design and analysis of communication protocols for supporting smart grid applications. In particular, we focus on the Substation Automation Systems (SAS). Substations are nodes in the smart grid infrastructure that help the in transportation of power by connecting the transmission and distribution lines. The SAS applications are con figured to operate with minimal human intervention. The SAS monitors the line loads continuously. If the load values are too high and can lead to damage, the SAS declares those conditions as faults. On fault detection, the SAS must take care of the communication with the relay to open the circuit to prevent any damage. These messages are of high priority and require reliable, delay sensitive delivery. There is a threshold for the delay of these messages, and a slight increase in the delay above the threshold might cause severe damages. Along with such high priority messages, the SAS has a lot of background traffic as well. In spite of the background traffic, the substation network must take care of delivering the priority messages on time. Hence, the network plays a vital role in the operation of the substation. Networks designed for such applications should be analyzed carefully to make sure that the requirements are met properly. We analyzed and compared the performance of the SAS under di erent network topologies. By observing the characteristics of the existing architectures, we came up with new architectures that perform better. We have suggested several modi cations to existing solutions that allow significant improvement in the performance of the existing solutions.

Kembanur Natarajan, Elangovan

2011-05-01T23:59:59.000Z

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


461

Radio Planning of Energy-Aware Cellular Networks  

E-Print Network (OSTI)

Nov 3, 2010 ... Keywords: green networking, wireless, network design, coverage, network management, energy saving. Category 1: Applications -- OR and ...

462

Study of the behavior of a new boosting algorithm for recurrent neural networks  

Science Conference Proceedings (OSTI)

We present an algorithm for improving the accuracy of recurrent neural networks (RNNs) for time series forecasting. The improvement is achieved by combining a large number of RNNs, each of them is generated by training on a different set of examples. ...

Mohammad Assaad; Romuald Boné; Hubert Cardot

2005-09-01T23:59:59.000Z

463

Tracking and disrupting dark networks: Challenges of data collection and analysis  

Science Conference Proceedings (OSTI)

The attack on September 11, 2001 set off numerous efforts to counter terrorism and insurgencies. Central to these efforts has been the drive to improve data collection and analysis. Section 1 summarizes some of the more notable improvements among U.S. ... Keywords: Analysis and fusion, Dark networks, Data collection, Visual analytics

Nancy C. Roberts

2011-03-01T23:59:59.000Z

464

JAMMING COMMUNICATION NETWORKS UNDER COMPLETE ...  

E-Print Network (OSTI)

Most papers on network interdiction are about preventing jam- ... cumulative energy received from all jamming devices exceeds some threshold value E: ?i.

465

Advanced Credentialing for Trusted Networks  

back to their trust network profiles; and (4) an Internet accessible application that links member profiles to mobile applications. Advantages • Hardware agnostic

466

Automating Network Security Assessment Automating ...  

Science Conference Proceedings (OSTI)

... Remediation is more involved 3. Whole network analysis is the next level ... $5K server (quad core, 32G RAM) – Two weeks ...

2012-10-26T23:59:59.000Z

467

Green Power Network: News Archive  

NLE Websites -- All DOE Office Websites (Extended Search)

to main content U.S. Department of Energy Energy Efficiency and Renewable Energy Green Power Network About the GPN Green Power Markets Buying Green Power Onsite Renewable...

468

Electronics, Lighting and Networks Group  

NLE Websites -- All DOE Office Websites (Extended Search)

Electronics, Lighting and Networks Group NOTICE Due to the current lapse of federal funding, Berkeley Lab websites are accessible, but may not be updated until Congress approves...

469

United States National Seismographic Network  

SciTech Connect

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).

Buland, R. [Geological Survey, Denver, CO (United States)

1993-09-01T23:59:59.000Z

470

Selfish Routing in Capacitated Networks  

E-Print Network (OSTI)

According to Wardrop's first principle, agents in a congested network choose their routes selfishly, a behavior that is captured by the Nash equilibrium of the underlying ...

Correa, Jose R.

2003-08-01T23:59:59.000Z

471

Sensor network configuration under physical attacks  

Science Conference Proceedings (OSTI)

Sensor networks will typically operate in hostile environments, where they are susceptible to physical attacks resulting in physical node destructions. In this paper, we study impacts of physical attacks on network configuration w.r.t. lifetime. While ... Keywords: deployment, network configuration, network lifetime, physical attacks, physical node destruction, sensor networks

Xun Wang; Wenjun Gu; Kurt Schosek; Sriram Chellappan; Dong Xuan

2009-04-01T23:59:59.000Z

472

Battery-aware scheduling inwireless mesh networks  

Science Conference Proceedings (OSTI)

Wireless mesh networks recently emerge as a flexible, low-cost and multipurpose networking platform with wired infrastructure connected to the Internet. A critical issue in mesh networks is to maintain network activities for a long lifetime with high ... Keywords: battery models, battery-awareness, energy efficiency, lifetime optimization, mesh routers, power scheduling, wireless mesh networks

Chi Ma; Zhenghao Zhang; Yuanyuan Yang

2008-04-01T23:59:59.000Z

473

Transportation Networks and Location A Geometric Approach  

E-Print Network (OSTI)

Transportation Networks and Location A Geometric Approach Belén Palop1,2 1Departamento de March 2009 Florida State University #12;Belén Palop, UVa, SUNY Outline Transportation Network Model;Transportation Network Model Belén Palop, UVa, SUNY Outline Transportation Network Model Network placement

Palop del Río, Belén

474

Path selection in multi-layer networks  

Science Conference Proceedings (OSTI)

Multi-layer networks are computer networks where the configuration of the network can be changed dynamically at multiple layers. However, in practice, technologies at different layers may be incompatible to each other, which necessitates a careful choice ... Keywords: Multi-layer network, Network description, Path selection

Fernando Kuipers; Freek Dijkstra

2009-01-01T23:59:59.000Z

475

Monitoring of the electrical distribution network operation  

Science Conference Proceedings (OSTI)

Distribution network operation is determined by the behaviour of the load. To plan and analyse the electrical network operation, precise modelling of load is substantial. The adequate approach to understand the electrical distribution network operation ... Keywords: SCADA, busloads, distribution network, load monitoring, mathematical model of load, network operation monitoring, state estimation

Jako Kilter; Mati Meldorf

2009-02-01T23:59:59.000Z

476

Assessing the vulnerability of replicated network services  

Science Conference Proceedings (OSTI)

Client-server networks are pervasive, fundamental, and include such key networks as the Internet, power grids, and road networks. In a client-server network, clients obtain a service by connecting to one of a redundant set of servers. These networks ...

George Dean Bissias; Brian Neil Levine; Ramesh K. Sitaraman

2010-11-01T23:59:59.000Z

477

Parallel simulation of software defined networks  

Science Conference Proceedings (OSTI)

Existing network architectures fall short when handling networking trends, e.g., mobility, server virtualization, and cloud computing, as well as market requirements with rapid changes. Software-defined networking (SDN) is designed to transform network ... Keywords: parallel discrete event simulation, software-defined networking

Dong Jin, David M. Nicol

2013-05-01T23:59:59.000Z

478

Applying physical-layer network coding in wireless networks  

Science Conference Proceedings (OSTI)

A main distinguishing feature of a wireless network compared with a wired network is its broadcast nature, in which the signal transmitted by a node may reach several other nodes, and a node may receive signals from several other nodes, simultaneously. ...

Shengli Zhang; Soung Chang Liew

2010-01-01T23:59:59.000Z

479

Networked Graphics: Building Networked Games and Virtual Environments  

Science Conference Proceedings (OSTI)

This broad-ranging book equips programmers and designers with a thorough grounding in the techniques used to create truly network-enabled computer graphics and games. Written for graphics/game/VE developers and students, it assumes no prior knowledge ... Keywords: Computer Animation, Computer Graphics, Computer Science, Computers, Game Programming, Interactive & Multimedia, Networking, Video & Electronic, Virtual Reality

Anthony Steed; Manuel Fradinho Oliveira

2009-11-01T23:59:59.000Z

480

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

Science Conference Proceedings (OSTI)

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

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

2009-11-30T23:59:59.000Z

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


481

Improved cycling cryopump  

DOE Patents (OSTI)

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

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

1984-12-04T23:59:59.000Z

482

Polymer flood filtration improvement  

Science Conference Proceedings (OSTI)

A process of recovery of hydrocarbons from a subterranean formation (wherein an aqueous liquid is injected into an injection well and hydrocarbons are produced from a production well, wherein at least a portion of the aqueous liquid is thickened with an organic polymer, and wherein an aqueous mixture containing the organic polymer is filtered prior to injection of the polymer) is affected by adding an amount of a surfactant to the aqueous mixture containing the polymer prior to filtration and sufficient to improve filterability. Filterability is further enhanced by addition of an ethoxylated alcohol surfactant and/or an alcohol. 6 claims.

Ferrell, H.H.; Conley, D.; Casad, B.M.; Stokke, O.M.

1980-07-15T23:59:59.000Z

483

Improved ion source  

DOE Patents (OSTI)

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

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

1982-05-04T23:59:59.000Z

484

Improved ion detector  

DOE Patents (OSTI)

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

Tullis, A.M.

1986-01-30T23:59:59.000Z

485

Network Upgrade for the SLC: PEP II Network  

SciTech Connect

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.

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

2011-09-09T23:59:59.000Z

486

Algorithms for improved performance in cryptographic protocols.  

SciTech Connect

Public key cryptographic algorithms provide data authentication and non-repudiation for electronic transmissions. The mathematical nature of the algorithms, however, means they require a significant amount of computation, and encrypted messages and digital signatures possess high bandwidth. Accordingly, there are many environments (e.g. wireless, ad-hoc, remote sensing networks) where public-key requirements are prohibitive and cannot be used. The use of elliptic curves in public-key computations has provided a means by which computations and bandwidth can be somewhat reduced. We report here on the research conducted in an LDRD aimed to find even more efficient algorithms and to make public-key cryptography available to a wider range of computing environments. We improved upon several algorithms, including one for which a patent has been applied. Further we discovered some new problems and relations on which future cryptographic algorithms may be based.

Schroeppel, Richard Crabtree; Beaver, Cheryl Lynn

2003-11-01T23:59:59.000Z

487

Improving Power Output . . . Energy Scavengers  

E-Print Network (OSTI)

Given appropriate power conditioning and capacitive storage, devices made from piezoelectric materials can scavenge power from low-level ambient sources to effectively support networks of ultra-low-power, peerto-peer wireless nodes.

Shad Roundy; Eli S. Leland; Jessy Baker; Eric Carleton; Elizabeth Reilly; Elaine Lai; Brian Otis; Jan M. Rabaey; Paul K. Wright; V. Sundararajan

2005-01-01T23:59:59.000Z

488

A network hierarchical feedback system for Taiwanese universities based on the integration of total quality management and innovation  

Science Conference Proceedings (OSTI)

An increasing number of Taiwanese universities are improving operational performance through innovation and total quality management (TQM). In addition, the National Quality Award (NQA), which is based on TQM, is now used to evaluate quality performance ... Keywords: Decision-making trial and evaluation laboratory (DEMATEL), Fuzzy analytical hierarchical process (FAHP), Fuzzy analytical network process (FANP), Gray relational analysis (GRA), Network hierarchical feedback system (NHFS)

Jui-Kuei Chen; I-Shuo Chen

2012-08-01T23:59:59.000Z

489

A genetic algorithm based back propagation network for simulation of stress-strain response of ceramic-matrix-composites  

Science Conference Proceedings (OSTI)

Ceramic-matrix-composites (CMCs) are fast replacing other materials in many applications where the higher production costs can be offset by significant improvement in performance. In applications such as cutting and forming tools, wear parts in machinery, ... Keywords: Back propagation, Ceramic-matrix-composites, Genetic algorithms, Hybrid networks, Interface elements, Neural networks

H. Sudarsana Rao; Vaishali G. Ghorpade; A. Mukherjee

2006-01-01T23:59:59.000Z

490

The Advantages of a Mixed-Band Radar Network for Severe Weather Operations: A Case Study of 13 May 2009  

Science Conference Proceedings (OSTI)

Adding a mix of X- or C-band radars to the current Weather Surveillance Radar-1988 Doppler (WSR-88D) network could address several limitations of the network, including improvements to spatial gaps in low-level coverage and temporal sampling of ...

Vivek N. Mahale; Jerald A. Brotzge; Howard B. Bluestein

491

Energy-Efficient Cluster Head Selection Scheme Based on Multiple Criteria Decision Making for Wireless Sensor Networks  

Science Conference Proceedings (OSTI)

Energy efficiency is an essential issue in the applications of wireless sensor networks (WSNs) all along. Clustering with data aggregation is a significant direction to improve energy efficiency through software. The selection of cluster head (CH) is ... Keywords: Clustering, Hierarchical fuzzy integral, Multiple criteria decision making, Trapezoidal fuzzy AHP, Wireless sensor networks

Teng Gao; Ren Cheng Jin; Jin Yan Song; Tai Bing Xu; Li Ding Wang

2012-04-01T23:59:59.000Z

492

A generic network interface architecture for a networked processor array (NePA)  

Science Conference Proceedings (OSTI)

Recently Network-on-Chip (NoC) technique has been proposed as a promising solution for on-chip interconnection network. However, different interface specification of integrated components raises a considerable difficulty for adopting NoC techniques. ... Keywords: interconnection network, multiprocessor systemon-chip (MPSoC), network interface, network-on-chip (NoC), networked processor array (NePA)

Seung Eun Lee; Jun Ho Bahn; Yoon Seok Yang; Nader Bagherzadeh

2008-02-01T23:59:59.000Z

493

Opportunistic resource utilization networks-A new paradigm for specialized ad hoc networks  

Science Conference Proceedings (OSTI)

We present opportunistic resource utilization networks or oppnets, a novel paradigm of specialized ad hoc networks. We believe that applications can benefit from using specialized ad hoc networks that provide a natural basis for them, the basis more ... Keywords: Ad hoc networks, Oppnets, Opportunistic networks, Specialized ad hoc networks

Leszek Lilien; Ajay Gupta; Zill-E-Huma Kamal; Zijiang Yang

2010-03-01T23:59:59.000Z

494

Packet-Switched Optical Networks  

Science Conference Proceedings (OSTI)

In this article, we present a platform design for packet-switched OTDM networks operating at ultrafast bit-rates for modern multiprocessor interconnects. The design is implemented in a prototype 8-node transparent shuffle network. The flow control in ... Keywords: Communication system interfaces, signalling, synchronization, clock and data recovery, PLLs

Ben Y. Yu; Paul Toliver; Robert J. Runser; Kung-Li Deng; Deyu Zhou; Ivan Glesk; Paul R. Prucnal

1998-01-01T23:59:59.000Z

495

Bayesian networks: A teacher's view  

Science Conference Proceedings (OSTI)

Teachers viewing Bayesian network-based proficiency estimates from a classroom full of students face a different problem from a tutor looking at one student at a time. Fortunately, individual proficiency estimates can be aggregated into classroom and ... Keywords: Aggregation, Bayesian networks, Computer graphics, Probabilities

Russell G. Almond; Valerie J. Shute; Jody S. Underwood; Juan-Diego Zapata-Rivera

2009-03-01T23:59:59.000Z

496

RNEDE: Resilient Network Design Environment  

SciTech Connect

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.

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

2010-08-01T23:59:59.000Z

497

Distance indexing on road networks  

Science Conference Proceedings (OSTI)

The processing of kNN and continuous kNN queries on spatial network databases (SNDB) has been intensively studied recently. However, there is a lack of systematic study on the computation of network distances, which is the most fundamental difference ...

Haibo Hu; Dik Lun Lee; Victor C. S. Lee

2006-09-01T23:59:59.000Z

498

ACDN: active content distribution network  

Science Conference Proceedings (OSTI)

A novel dynamic and active CDN architecture based on active network (ACDN) is proposed. The programmable character of active network makes it easier and quicker to configure new replica servers as well as deploy new policies on demand. A genetic algorithm ...

Yan Chen; Zeng-zhi Li; Zhi-gang Liao

2005-03-01T23:59:59.000Z

499

Bursty subgraphs in social networks  

Science Conference Proceedings (OSTI)

Data available through social media and content sharing platforms present opportunities for analysis and mining. In the context of social networks, it is interesting to formalize and locate bursts of activities amongst users, related to a particular ... Keywords: bursty subgraphs, information burst, social networks, twitter

Milad Eftekhar; Nick Koudas; Yashar Ganjali

2013-02-01T23:59:59.000Z

500

ESnet Network Measurement Current Status  

E-Print Network (OSTI)

1 ESnet Network Measurement Current Status Joe Metzger Jan 24th 2008 ESCC meeting Energy Sciences ­ Regular scheduled bandwidth testing · Internal to ESnet IP & SDN Network · External to important peers, and ESnet sites that are interested ­ Dynamic end-user testing via · perfSONAR · ESnet Performance Center