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Note: This page contains sample records for the topic "recognition particle-receptor complex" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
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We encourage you to perform a real-time search of NLEBeta
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1

Signal Recognition Particle-Receptor Complex Structure Solved  

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

Signal Recognition Signal Recognition Particle-Receptor Complex Structure Solved Signal Recognition Particle-Receptor Complex Structure Solved Print Monday, 27 February 2012 15:06 The signal recognition particle (SRP) is a ubiquitous ribonucleoprotein (RNP) complex that delivers membrane and secretory proteins to the cell membrane in prokaryotes and in eukaryotes to the endoplasmic reticulum (ER), an organelle that forms a network of protein and lipid synthesizing factories. This process, called co-translational protein targeting, is an essential and evolutionarily conserved pathway for delivering nascent proteins to the eukaryotic ER. To learn more about co-translational protein targeting, researchers from UC Berkeley and the Swiss Federal Institute of Technology collaborated to determine the crystal structure of the prokaryotic SRP:SR complex arrested in the cargo release state at 3.9 Å resolution.

2

Signal Recognition Particle-Receptor Complex Structure Solved  

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

Signal Recognition Particle-Receptor Complex Structure Solved Print Signal Recognition Particle-Receptor Complex Structure Solved Print The signal recognition particle (SRP) is a ubiquitous ribonucleoprotein (RNP) complex that delivers membrane and secretory proteins to the cell membrane in prokaryotes and in eukaryotes to the endoplasmic reticulum (ER), an organelle that forms a network of protein and lipid synthesizing factories. This process, called co-translational protein targeting, is an essential and evolutionarily conserved pathway for delivering nascent proteins to the eukaryotic ER. To learn more about co-translational protein targeting, researchers from UC Berkeley and the Swiss Federal Institute of Technology collaborated to determine the crystal structure of the prokaryotic SRP:SR complex arrested in the cargo release state at 3.9 Å resolution.

3

Signal Recognition Particle-Receptor Complex Structure Solved  

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

Signal Recognition Particle-Receptor Complex Structure Solved Print Signal Recognition Particle-Receptor Complex Structure Solved Print The signal recognition particle (SRP) is a ubiquitous ribonucleoprotein (RNP) complex that delivers membrane and secretory proteins to the cell membrane in prokaryotes and in eukaryotes to the endoplasmic reticulum (ER), an organelle that forms a network of protein and lipid synthesizing factories. This process, called co-translational protein targeting, is an essential and evolutionarily conserved pathway for delivering nascent proteins to the eukaryotic ER. To learn more about co-translational protein targeting, researchers from UC Berkeley and the Swiss Federal Institute of Technology collaborated to determine the crystal structure of the prokaryotic SRP:SR complex arrested in the cargo release state at 3.9 Å resolution.

4

Signal Recognition Particle-Receptor Complex Structure Solved  

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

Signal Recognition Particle-Receptor Complex Structure Solved Print Signal Recognition Particle-Receptor Complex Structure Solved Print The signal recognition particle (SRP) is a ubiquitous ribonucleoprotein (RNP) complex that delivers membrane and secretory proteins to the cell membrane in prokaryotes and in eukaryotes to the endoplasmic reticulum (ER), an organelle that forms a network of protein and lipid synthesizing factories. This process, called co-translational protein targeting, is an essential and evolutionarily conserved pathway for delivering nascent proteins to the eukaryotic ER. To learn more about co-translational protein targeting, researchers from UC Berkeley and the Swiss Federal Institute of Technology collaborated to determine the crystal structure of the prokaryotic SRP:SR complex arrested in the cargo release state at 3.9 Å resolution.

5

Signal Recognition Particle-Receptor Complex Structure Solved  

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

Signal Recognition Particle-Receptor Complex Structure Solved Print Signal Recognition Particle-Receptor Complex Structure Solved Print The signal recognition particle (SRP) is a ubiquitous ribonucleoprotein (RNP) complex that delivers membrane and secretory proteins to the cell membrane in prokaryotes and in eukaryotes to the endoplasmic reticulum (ER), an organelle that forms a network of protein and lipid synthesizing factories. This process, called co-translational protein targeting, is an essential and evolutionarily conserved pathway for delivering nascent proteins to the eukaryotic ER. To learn more about co-translational protein targeting, researchers from UC Berkeley and the Swiss Federal Institute of Technology collaborated to determine the crystal structure of the prokaryotic SRP:SR complex arrested in the cargo release state at 3.9 Å resolution.

6

Signal Recognition Particle-Receptor Complex Structure Solved  

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

Signal Recognition Particle-Receptor Complex Structure Solved Print Signal Recognition Particle-Receptor Complex Structure Solved Print The signal recognition particle (SRP) is a ubiquitous ribonucleoprotein (RNP) complex that delivers membrane and secretory proteins to the cell membrane in prokaryotes and in eukaryotes to the endoplasmic reticulum (ER), an organelle that forms a network of protein and lipid synthesizing factories. This process, called co-translational protein targeting, is an essential and evolutionarily conserved pathway for delivering nascent proteins to the eukaryotic ER. To learn more about co-translational protein targeting, researchers from UC Berkeley and the Swiss Federal Institute of Technology collaborated to determine the crystal structure of the prokaryotic SRP:SR complex arrested in the cargo release state at 3.9 Å resolution.

7

A rotation invariant face recognition method based on complex network  

Science Conference Proceedings (OSTI)

Face recognition is an important field that has received a lot of attention from computer vision community, with diverse set of applications in industry and science. This paper introduces a novel graph based method for face recognition which is rotation ... Keywords: complex network, face recognition, graph

Wesley Nunes Gonalves; Jonathan De Andrade Silva; Odemir Martinez Bruno

2010-11-01T23:59:59.000Z

8

Molecular Recognition in Cyclodextrin Complexes of Amino Acid Derivatives: The Effects of Kinetic Energy on the Molecular Recognition of a Pseudopeptide in a Nonconstraining  

E-Print Network (OSTI)

Molecular Recognition in Cyclodextrin Complexes of Amino Acid Derivatives: The Effects of Kinetic Energy on the Molecular Recognition of a Pseudopeptide in a Nonconstraining Host Environment as Revealed-acetyl-L-phenylalanine methyl ester has been determined at several temperatures between 298 and 20 K to further study molecular

Vold, Robert

9

Detecting video events based on action recognition in complex scenes using spatio-temporal descriptor  

Science Conference Proceedings (OSTI)

Event detection plays an essential role in video content analysis and remains a challenging open problem. In particular, the study on detecting human-related video events in complex scenes with both a crowd of people and dynamic motion is still limited. ... Keywords: action recognition, event detection, motion representation, semantic analysis

Guangyu Zhu; Ming Yang; Kai Yu; Wei Xu; Yihong Gong

2009-10-01T23:59:59.000Z

10

A string of feature graphs model for recognition of complex activities  

E-Print Network (OSTI)

Videos usually consist of activities involving interactions between multiple actors, sometimes referred to as complex activities. Recognition of such activities requires modeling the spatio-temporal relationships between the actors and their individual variabilities. In this paper, we consider the problem of recognition of complex activities in a video given a query example. We propose a new feature model based on a string representation of the video which respects the spatio-temporal ordering. This ordered arrangement of local collections of features (e.g., cuboids, STIP), which are the characters in the string, are initially matched using graph-based spectral techniques. Final recognition is obtained by matching the string representations of the query and the test videos in a dynamic programming framework which allows for variability in sampling rates and speed of activity execution. The method does not require tracking or recognition of body parts, is able to identify the region of interest in a cluttered scene, and gives reasonable performance with even a single query example. We test our approach in an example-based video retrieval framework with two publicly available complex activity datasets and provide comparisons against other methods that have studied this problem. 1.

U. Gaur; Y. Zhu; B. Song; A. Roy-chowdhury

2011-01-01T23:59:59.000Z

11

The role of the phosphorus BIBII transition in proteinDNA recognition: the NF-kB complex  

E-Print Network (OSTI)

The role of the phosphorus BI±BII transition in protein±DNA recognition: the NF-kB complex K) containing the HIV-1 NF-kB-binding site, in which the sequences ¯anking the kB site had been mutated. 31P NMR of the BI±BII equilibrium in NF-kB recognition by DNA was then investigated by electrophoretic mobility

Paris-Sud XI, Université de

12

Biometric Recognition  

Science Conference Proceedings (OSTI)

... Questions to be addressed include: has face recognition technology performance improved by an order of magnitude since the last formal ...

2012-10-17T23:59:59.000Z

13

Sketch Recognition on Mobile Devices  

E-Print Network (OSTI)

Sketch recognition allows computers to understand and model hand drawn sketches and diagrams. Traditionally sketch recognition systems required a pen based PC interface, but powerful mobile devices such as tablets and smartphones can provide a new platform for sketch recognition systems. We describe a new sketch recognition library, Strontium (SrL) that combines several existing sketch recognition libraries modified to run on both personal computers and on the Android platform. We analyzed the recognition speed and accuracy implications of performing low-level shape recognition on smartphones with touch screens. We found that there is a large gap in recognition speed on mobile devices between recognizing simple shapes and more complex ones, suggesting that mobile sketch interface designers limit the complexity of their sketch domains. We also found that a low sampling rate on mobile devices can affect recognition accuracy of complex and curved shapes. Despite this, we found no evidence to suggest that using a finger as an input implement leads to a decrease in simple shape recognition accuracy. These results show that the same geometric shape recognizers developed for pen applications can be used in mobile applications, provided that developers keep shape domains simple and ensure that input sampling rate is kept as high as possible.

Lucchese, George 1987-

2012-12-01T23:59:59.000Z

14

Feature Recognition in Solar Images  

Science Conference Proceedings (OSTI)

Despite several decades of research and development in the field of pattern recognition, the general problem of recognizing complex patterns with arbitrary orientations, locations, and scales remains unsolved and normally is applied using iterative manual ... Keywords: Bayesian inference, artificial neural network, digital solar image, edge detection, image segmentation, morphological operations, noise smoothing, pattern recognition, region growing, shape correction

Valentina Zharkova; Stanley Ipson; Ali Benkhalil; Sergei Zharkov

2005-05-01T23:59:59.000Z

15

The final LDRD report for the project entitled: {open_quotes}Enhanced analysis of complex gas mixtures by pattern recognition of microsensor array signals{close_quotes}  

DOE Green Energy (OSTI)

Microsensors do not have the selectivity to chemical species available in large laboratory instruments. This project employed arrays of catalytically gated silicon microsensors with different catalysts to create data streams which can be analyzed by pattern recognition programs. One of the most significant accomplishments of the program was the demonstration of that mixtures of H{sub 2} with the oxidants NO{sub x} and O{sub 2} could distinguished from one another by the use of different catalytic metals on the Sandia Robust Hydrogen (SRH) sensors and the newly developed pattern recognition algorithm. This sensor system could be used to identify explosive gas mixtures and analyze exhaust streams for pollution control.

Hughes, R.C.; Osbourn, G.C.

1996-09-01T23:59:59.000Z

16

Complexes  

DOE Green Energy (OSTI)

Iron L-edge, iron K-edge, and sulfur K-edge X-ray absorption spectroscopy was performed on a series of compounds [Fe{sup III}H{sub 3}buea(X)]{sup n-} (X = S{sup 2-}, O{sup 2-}, OH{sup -}). The experimentally determined electronic structures were used to correlate to density functional theory calculations. Calculations supported by the data were then used to compare the metal-ligand bonding and to evaluate the effects of H-bonding in Fe{sup III}-O vs Fe{sup III-}S complexes. It was found that the Fe{sup III-}O bond, while less covalent, is stronger than the FeIII-S bond. This dominantly reflects the larger ionic contribution to the Fe{sup III-}O bond. The H-bonding energy (for three H-bonds) was estimated to be -25 kcal/mol for the oxo as compared to -12 kcal/mol for the sulfide ligand. This difference is attributed to the larger charge density on the oxo ligand resulting from the lower covalency of the Fe-O bond. These results were extended to consider an Fe{sup IV-}O complex with the same ligand environment. It was found that hydrogen bonding to Fe{sup IV-}O is less energetically favorable than that to Fe{sup III-}O, which reflects the highly covalent nature of the Fe{sup IV-}O bond.

Dey, Abhishek; Hocking, Rosalie K.; /Stanford U., Chem. Dept.; Larsen, Peter; Borovik, Andrew S.; /Kansas U.; Hodgson, Keith O.; Hedman, Britt; Solomon, Edward I.; /SLAC,

2006-09-27T23:59:59.000Z

17

Ternary Complex of Transforming Growth Factor-[beta]1 Reveals Isoform-specific Ligand Recognition and Receptor Recruitment in the Superfamily  

Science Conference Proceedings (OSTI)

Transforming growth factor (TGF)-{beta}1, -{beta}2, and -{beta}3 are 25-kDa homodimeric polypeptides that play crucial nonoverlapping roles in embryogenesis, tissue development, carcinogenesis, and immune regulation. Here we report the 3.0-{angstrom} resolution crystal structure of the ternary complex between human TGF-{beta}1 and the extracellular domains of its type I and type II receptors, T{beta}RI and T{beta}RII. The TGF-{beta}1 ternary complex structure is similar to previously reported TGF-{beta}3 complex except with a 10{sup o} rotation in T{beta}RI docking orientation. Quantitative binding studies showed distinct kinetics between the receptors and the isoforms of TGF-{beta}. T{beta}RI showed significant binding to TGF-{beta}2 and TGF-{beta}3 but not TGF-{beta}1, and the binding to all three isoforms of TGF-{beta} was enhanced considerably in the presence of T{beta}RII. The preference of TGF-{beta}2 to T{beta}RI suggests a variation in its receptor recruitment in vivo. Although TGF-{beta}1 and TGF-{beta}3 bind and assemble their ternary complexes in a similar manner, their structural differences together with differences in the affinities and kinetics of their receptor binding may underlie their unique biological activities. Structural comparisons revealed that the receptor-ligand pairing in the TGF-{beta} superfamily is dictated by unique insertions, deletions, and disulfide bonds rather than amino acid conservation at the interface. The binding mode of T{beta}RII on TGF-{beta} is unique to TGF-{beta}s, whereas that of type II receptor for bone morphogenetic protein on bone morphogenetic protein appears common to all other cytokines in the superfamily. Further, extensive hydrogen bonds and salt bridges are present at the high affinity cytokine-receptor interfaces, whereas hydrophobic interactions dominate the low affinity receptor-ligand interfaces.

Radaev, Sergei; Zou, Zhongcheng; Huang, Tao; Lafer, Eileen M.; Hinck, Andrew P.; Sun, Peter D. (Texas-HSC); (NIH)

2010-11-03T23:59:59.000Z

18

Probing 3'-ssDNA Loop Formation in E. coli RecBCD/RecBC-DNA Com-plexes using Non-natural DNA: A Model for "Chi" Recognition Complexes  

E-Print Network (OSTI)

in RecBCD-DNA Complexes Keywords: helicase; fluorescence; motor protein; recombination; thermodynamics with a Cy3-labeled reference DNA which undergoes a Cy3 fluorescence enhancement upon protein binding. We) and two series of non-fluorescent competitor DNA molecules (II and III in Figure 1a) for the reasons

Ju, Tao

19

Face Vendor Recognition Test  

Science Conference Proceedings (OSTI)

... FRVT 2002 consisted of two tests: the High ... goal of the Recognition Performance Test was to ... All systems were tested on a standardized database. ...

2013-07-25T23:59:59.000Z

20

Experiments in expression recognition  

E-Print Network (OSTI)

Despite the significant effort devoted to methods for expression recognition, suitable training and test databases designed explicitly for expression research have been largely neglected. Additionally, possible techniques ...

Skelley, James P. (James Paul)

2005-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "recognition particle-receptor complex" 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

Variational Gaussian Mixture Models for Speech Emotion Recognition  

Science Conference Proceedings (OSTI)

In this paper applicability of variational methods for estimation of parameters of models used for speech emotion recognition is discussed.When the amount of data available is not adequate for training complex models, variational Bayesian method helps ... Keywords: Variational Gaussian Mixture Models, Emotion Recognition

Harendra Kumar Mishra; C. Chandra Sekhar

2009-02-01T23:59:59.000Z

22

Mixing statistical and symbolic approaches for chemical names recognition  

Science Conference Proceedings (OSTI)

This paper investigates the problem of automatic chemical Term Recognition (TR) and proposes to tackle the problem by fusing Symbolic and statistical techniques. Unlike other solutions described in the literature, which only use complex and costly human ... Keywords: chemical informatics, term recognition, text mining

Florian Boudin; Juan Manuel Torres-Moreno; Marc El-Bze

2008-02-01T23:59:59.000Z

23

Complexity dichotomy on partial grid recognition  

Science Conference Proceedings (OSTI)

Deciding whether a graph can be embedded in a grid using only unit-length edges is NP-complete, even when restricted to binary trees. However, it is not difficult to devise a number of graph classes for which the problem is polynomial, even trivial. ... Keywords: Graph embedding, NP-completeness, Partial grid, VLSI layout

Vincius G. P. de S; Guilherme D. da Fonseca; Raphael C. S. Machado; Celina M. H. de Figueiredo

2011-05-01T23:59:59.000Z

24

Plan recognition in exploratory domains  

Science Conference Proceedings (OSTI)

This paper describes a challenging plan recognition problem that arises in environments in which agents engage widely in exploratory behavior, and presents new algorithms for effective plan recognition in such settings. In exploratory domains, agents@? ... Keywords: Plan recognition, User modeling

Yaakov Gal; Swapna Reddy; Stuart M. Shieber; Andee Rubin; Barbara J. Grosz

2012-01-01T23:59:59.000Z

25

Illumination Invariant Object Recognition  

E-Print Network (OSTI)

Varying illumination is a severe problem for existing face recognition algorithms. Altering the light direction from left to right, for example, causes a change of contrast in large face regions and lets most face recognition algorithms fail. Theoretical results, based on the law of incoherent light superposition, provide the solid ground on which a new illumination invariant recognition algorithm is derived. A face recognition experiment demonstrates that this algorithm indeed shows improved recognition performance even if the conditions, for which the theoretical results were derived, do not hold exactly. 1. A STATIC SCENE'S PICTURE SET UNDER VARYING LIGHTING Consider a static scene, lighted with a finite number N s of static light sources that may vary in luminance. These light sources can have arbitrary spatial extent and emit an arbitrary distribution of light. Let i 0 k denote the picture that is produced if only light source k is switched on with a unit luminance and call th...

Martin Bichsel

1995-01-01T23:59:59.000Z

26

Face Recognition Grand Challenge (FRGC)  

Science Conference Proceedings (OSTI)

... These techniques hold the promise of reducing the error rate in face recognition systems by an order of magnitude over the Face Recognition ...

2011-02-15T23:59:59.000Z

27

Unsupervised recognition of ADLs  

Science Conference Proceedings (OSTI)

In this paper we present an approach to the unsupervised recognition of activities of daily living (ADLs) in the context of smart environments The developed system utilizes background domain knowledge about the user activities and the environment in ...

Todor Dimitrov; Josef Pauli; Edwin Naroska

2010-05-01T23:59:59.000Z

28

Forensic speaker recognition  

E-Print Network (OSTI)

Looking at the different points highlighted in this article, we affirm that forensic applications of speaker recognition should still be taken under a necessary need for caution. Disseminating this message remains one of ...

Bonstre, Jean-Francois

29

Stroke based handwritten character recognition  

Science Conference Proceedings (OSTI)

This work proposes a new stroke based methodology for handwritten character recognition. After the pre-processing, several steps are involved to achieve the recognition. First, the character is segmented into its strokes. Then, we determine the maximum ... Keywords: character recognition, handwritten recognition, inference engine, knowledge base, stroke character representation

D. lvarez; R. Fernndez; L. Snchez

2012-03-01T23:59:59.000Z

30

Substrate Recognition Strategy for Botulinum Neurotoxin  

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

Substrate Recognition Strategy Substrate Recognition Strategy for Botulinum Neurotoxin Substrate Recognition Strategy for Botulinum Neurotoxin Print Wednesday, 25 May 2005 00:00 Clostridal neurotoxins (CNTs) are the causative agents of the neuroparalytic diseases botulism and tetanus. By inhibiting release of the neurotransmitter acetylcholine, for example, the neurotoxin produced by the bacterium Clostridium botulinum interferes with nerve impulses and causes a paralysis of respiratory and skeletal muscles that can cause death. Researchers from Stanford University have now determined the first structure of a CNT in complex with its target. The structure at a resolution of 2.1 Å, together with enzyme kinetic data, reveals an array of active sites (exosites) that give the CNT its deadly specificity.

31

Human action recognition using extreme learning machine based on visual vocabularies  

Science Conference Proceedings (OSTI)

This paper introduces a novel recognition framework for human actions using hybrid features. The hybrid features consist of spatio-temporal and local static features extracted using motion-selectivity attribute of 3D dual-tree complex wavelet transform ... Keywords: 3D dual-tree complex wavelet transform, Activity recognition, Extreme learning machine, Two-dimensional PCA, Video classification

Rashid Minhas; Aryaz Baradarani; Sepideh Seifzadeh; Q. M. Jonathan Wu

2010-06-01T23:59:59.000Z

32

Informative Views and Active Recognition  

E-Print Network (OSTI)

Informative Views and Active Recognition Tal Arbel, Frank P. Ferrie, and Peter Whaite TR-CIM-94-7897 Email: cim@cim.mcgill.ca #12;Informative Views and Active Recognition Tal Arbel, Frank P. Ferrie

Dudek, Gregory

33

Face recognition using Intrinsicfaces  

Science Conference Proceedings (OSTI)

In this paper, we propose a novel face model, called intrinsic face model. Under this model, each face image is divided into three components, i.e., facial commonness difference, individuality difference and intrapersonal difference, to characterize ... Keywords: Dimensionality reduction, Face recognition, Intrinsic discriminant analysis, Linear discriminant analysis, Principal component analysis

Yong Wang; Yi Wu

2010-10-01T23:59:59.000Z

34

A constraint-satisfaction approach for 3D vision/touch-based object recognition  

Science Conference Proceedings (OSTI)

We present a technique for recognizing polyhedral objects by integrating visual and tactile data. The problem is formulated as a constraint-satisfaction problem (CSP) to provide a unified framework for integrating different types of sensory data. To ... Keywords: 3D vision/touch-based object recognition, computational complexity, constraint handling, constraint-satisfaction approach, correspondence uncertainty, data integration, erroneous model object elimination, image recognition, local-consistency enforcing, object recognition, polyhedral objects, scene perceptual structures, tactile data, visual data

1995-08-01T23:59:59.000Z

35

A fast video event recognition system and its application to video search  

Science Conference Proceedings (OSTI)

Techniques for recognizing complex events in diverse Internet videos are important in many applications. State-of-the-art video event recognition approaches normally involve modules that demand extensive computation, which prevents their application ... Keywords: fast video event recognition, internet videos, speed efficiency, video search

Yu-Gang Jiang; Qi Dai; Yingbin Zheng; Xiangyang Xue; Jie Liu; Dong Wang

2012-10-01T23:59:59.000Z

36

Symbol recognition using spatial relations  

Science Conference Proceedings (OSTI)

In this paper, we present a method for symbol recognition based on the spatio-structural description of a 'vocabulary' of extracted visual elementary parts. It is applied to symbols in electrical wiring diagrams. The method consists of first identifying ... Keywords: Attributed relational graph, Spatial relations, Symbol recognition, Vocabulary

K. C. Santosh; Bart Lamiroy; Laurent Wendling

2012-02-01T23:59:59.000Z

37

Recognition driven page orientation detection  

Science Conference Proceedings (OSTI)

In document image recognition, orientation detection of the scanned page is necessary for the following procedures to work correctly as they assume that the text is well oriented. Several methods have been proposed, but most of them rely on heuristics ... Keywords: document image processing, image orientation analysis, optical character recognition

Yves Rangoni; Faisal Shafait; Joost Van Beusekom; Thomas M. Breuel

2009-11-01T23:59:59.000Z

38

Stroke-Based Cursive Character Recognition K.C. Santosh*  

E-Print Network (OSTI)

engine. In what follows, we explain the importance of on-line handwriting recognition over off significant reduction in memory and therefore space complexity. Another advantage is that the digital pen or a digital form on a tablet device immediately transforms your handwriting into a digital representation

Paris-Sud XI, Université de

39

Cursive script postal address recognition  

E-Print Network (OSTI)

Large variations in writing styles and di culty in segmenting cursive words are the main reasons for cursive script postal address recognition being a challenging task. A scheme for locating and recognizing words based on over-segmentation followed by dynamic programming is proposed. This technique is being used for zip code extraction as well as city-state recognition in our system. Results have been reported based on cursive script images from the United States Postal Service(USPS) database. An overview of the cursive script postal address recognition system under development at the IBM Almaden Research Center, is presented. Optical Character Recognition(OCR) systems are usually trained to minimize character level errors, which does not necessarily guarantee the best results for word level recognition. Ascheme for combining character-level optimized classi ers, using a word-level optimization function, to achieve higher word level recognition rates is proposed. The optimum values for the parameters of the combination function are obtained using the gradient descent method. Improvements in word recognition rates on the USPS database by using word-level optimized ensembles of classi ers are reported. To My Family iii

Prasun Sinha; Prasun Sinha

1997-01-01T23:59:59.000Z

40

Substrate Recognition Strategy for Botulinum Neurotoxin  

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

Substrate Recognition Strategy for Botulinum Neurotoxin Print Substrate Recognition Strategy for Botulinum Neurotoxin Print Clostridal neurotoxins (CNTs) are the causative agents of the neuroparalytic diseases botulism and tetanus. By inhibiting release of the neurotransmitter acetylcholine, for example, the neurotoxin produced by the bacterium Clostridium botulinum interferes with nerve impulses and causes a paralysis of respiratory and skeletal muscles that can cause death. Researchers from Stanford University have now determined the first structure of a CNT in complex with its target. The structure at a resolution of 2.1 Å, together with enzyme kinetic data, reveals an array of active sites (exosites) that give the CNT its deadly specificity. Botulism Toxin The best thing one can say about botulism is that it is relatively rare. At worst, botulism can ultimately result in death due to respiratory failure resulting from paralysis of the muscles used in breathing. The muscle paralysis is caused by the neurotoxin produced by the bacterium Clostridium botulinum, which can be ingested with contaminated food, enter the body through wounds, or (in the case of infants where there is little competition from other microbes) germinate in the intestine from spores. Given early after onset of symptoms, an antitoxin exists that can prevent further damage, but a more effective treatment for this and other neurotoxin-caused illnesses, such as tetanus, await a more detailed understanding of how the toxin works at the molecular level.

Note: This page contains sample records for the topic "recognition particle-receptor complex" 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

Substrate Recognition Strategy for Botulinum Neurotoxin  

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

Substrate Recognition Strategy for Botulinum Neurotoxin Print Substrate Recognition Strategy for Botulinum Neurotoxin Print Clostridal neurotoxins (CNTs) are the causative agents of the neuroparalytic diseases botulism and tetanus. By inhibiting release of the neurotransmitter acetylcholine, for example, the neurotoxin produced by the bacterium Clostridium botulinum interferes with nerve impulses and causes a paralysis of respiratory and skeletal muscles that can cause death. Researchers from Stanford University have now determined the first structure of a CNT in complex with its target. The structure at a resolution of 2.1 Å, together with enzyme kinetic data, reveals an array of active sites (exosites) that give the CNT its deadly specificity. Botulism Toxin The best thing one can say about botulism is that it is relatively rare. At worst, botulism can ultimately result in death due to respiratory failure resulting from paralysis of the muscles used in breathing. The muscle paralysis is caused by the neurotoxin produced by the bacterium Clostridium botulinum, which can be ingested with contaminated food, enter the body through wounds, or (in the case of infants where there is little competition from other microbes) germinate in the intestine from spores. Given early after onset of symptoms, an antitoxin exists that can prevent further damage, but a more effective treatment for this and other neurotoxin-caused illnesses, such as tetanus, await a more detailed understanding of how the toxin works at the molecular level.

42

Gender Recognition Based on Sift Features  

E-Print Network (OSTI)

This paper proposes a robust approach for face detection and gender classification in color images. Previous researches about gender recognition suppose an expensive computational and time-consuming pre-processing step in order to alignment in which face images are aligned so that facial landmarks like eyes, nose, lips, chin are placed in uniform locations in image. In this paper, a novel technique based on mathematical analysis is represented in three stages that eliminates alignment step. First, a new color based face detection method is represented with a better result and more robustness in complex backgrounds. Next, the features which are invariant to affine transformations are extracted from each face using scale invariant feature transform (SIFT) method. To evaluate the performance of the proposed algorithm, experiments have been conducted by employing a SVM classifier on a database of face images which contains 500 images from distinct people with equal ratio of male and female.

Yousefi, Sahar

2011-01-01T23:59:59.000Z

43

Indoor Scene Recognition Through Object Detection  

E-Print Network (OSTI)

Scene recognition is a highly valuable perceptual ability for an indoor mobile robot, however, current approaches for scene recognition present a significant drop in performance for the case of indoor scenes. We believe ...

Espinace, P.

44

Informative Views and Sequential Recognition  

E-Print Network (OSTI)

Informative Views and Sequential Recognition Tal Arbel and Frank P. Ferrie TR-CIM-95-10 Nov. 1995 3 Telephone: 514 398-6319 Telex: 05 268510 FAX: 514 398-7348 Email: cim@cim.mcgill.ca #12;Informative Views

Dudek, Gregory

45

EEG signals for emotion recognition  

Science Conference Proceedings (OSTI)

This paper proposes an emotion recognition system using the electroencephalographic (EEG) signals. Both time domain and frequency domain approaches for feature extraction were evaluated using neural network (NN) and fuzzy neural network (FNN) as classifiers. ... Keywords: EEG, EFuNN, Emotion, MFCC, RVM, time domain

A. Wahab; N. Kamaruddin; L. K. Palaniappan; M. Li; R. Khosrowabadi

2010-09-01T23:59:59.000Z

46

Online Stroke Modeling for Handwriting Recognition - CECM  

E-Print Network (OSTI)

Typically, handwriting recognition systems? even ?online? .... merical integration method to compute the mo- ments of an input .... energy consumption, etc.

47

Speech emotion recognition: Features and classification models  

Science Conference Proceedings (OSTI)

To solve the speaker independent emotion recognition problem, a three-level speech emotion recognition model is proposed to classify six speech emotions, including sadness, anger, surprise, fear, happiness and disgust from coarse to fine. For each level, ... Keywords: Emotion recognition, Fisher discriminant, SVM, Speaker independent

Lijiang Chen; Xia Mao; Yuli Xue; Lee Lung Cheng

2012-12-01T23:59:59.000Z

48

Scene Aligned Pooling for Complex Video Recognition Liangliang Cao  

E-Print Network (OSTI)

to this challenging dataset. We use STIP features [10] provided in the dataset webpage, and ex- tract scene features for video frames at every 0.5 seconds. Since the STIP features are only sparsely distributed among video frames, to improve performance we condense the STIP features from nearby half-second video frames when

Chang, Shih-Fu

49

Molecular recognition using nanotube-adsorbed polymer complexes  

E-Print Network (OSTI)

We first reported the selective detection of single nitric oxide (NO) molecules using a specific DNA sequence of d(AT) 15 oligonucleotides, adsorbed to an array of near infrared fluorescent semiconducting single-walled ...

Zhang, Jingqing, Ph. D. Massachusetts Institute of Technology

2013-01-01T23:59:59.000Z

50

Y-12 technology brings licensee recognition | Y-12 National Security  

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

technology brings ... technology brings ... Y-12 technology brings licensee recognition Posted: December 31, 2012 - 9:00am The pairing of an environmentally friendly solvent invented and patented by the Y-12 National Security Complex in Oak Ridge with the business acumen of its licensee Scott Manley has gained recognition in two recent competitions. Manley owns RockinBoat LLC, a South Carolina start-up that in 2011 obtained sole commercial rights to manufacture and market the solvent RonJohn®. Teknikem, the chemical division of RockinBoat LLC, offers the solvent as its sole technology. Initially developed at Y-12 by Ron Simandl and John Brown for use in dismantling weapons parts, the 2011 R&D 100 Award-winning technology can completely strip adhesives and finishes from a variety of

51

Speech recognition availability; Tillgngligheten i taligenknning.  

E-Print Network (OSTI)

?? This project investigates the importance of availability in the scope of dictation programs. Using speech recognition technology for dictating has not reached the public, (more)

Eriksson, Mattias

2004-01-01T23:59:59.000Z

52

Substrate Recognition Strategy for Botulinum Neurotoxin  

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

recognition. Left: SNAP-25 attaches to a presynaptic membrane via palmitylation sites (black) on its linker domain (purple). Center: Helix formation at the exosite probably...

53

Fermilab Today | 2012 Performance Recognition Awards  

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

Performance Recognition Award for the successful demonstration of a novel approach to piezoelectric resonance control of 1.3-GHz cavities, an approach that has received...

54

A probabilistic plan recognition algorithm based on plan tree grammars  

Science Conference Proceedings (OSTI)

We present the PHATT algorithm for plan recognition. Unlike previous approaches to plan recognition, PHATT is based on a model of plan execution. We show that this clarifies several difficult issues in plan recognition including the execution of multiple ... Keywords: Action grammars, Bayesian methods, Goal recognition, Intent inference, Plan recognition, Probabilistic grammars, Task tracking

Christopher W. Geib; Robert P. Goldman

2009-07-01T23:59:59.000Z

55

Hindi paired word recognition using probabilistic neural network  

Science Conference Proceedings (OSTI)

Automatic speech recognition has been a subject of active research interest since last few decades. In the present paper, spoken Hindi (Indian national language) Paired Word Recognition (HPWR) has been examined with the help of intelligent ... Keywords: HPWR, Hindi, PNN, automatic speech recognition, broad acoustic classes, classification, hybrid computing, paired word recognition, pattern recognition, probabilistic neural networks, wavelet transforms

Dinesh Kumar Rajoriya; R. S. Anand; R. P. Maheshwari

2010-08-01T23:59:59.000Z

56

An Improved Online Handwriting Thai Character Recognition  

Science Conference Proceedings (OSTI)

This research is a study of handwriting Thai characters for computer use. This paper covers the creation of an online handwriting recognition system by using our proposed method. Our study shows the character sampling number is 10 significant points. ... Keywords: Thai Character Recognition, Geometric Modeling

Pitchaya Jamjuntr; Natasha Dejdumrong

2011-08-01T23:59:59.000Z

57

Speech Under Stress: Analysis, Modeling and Recognition  

Science Conference Proceedings (OSTI)

In this chapter, we consider a range of issues associated with analysis, modeling, and recognition of speech under stress. We start by defining stress, what could be perceived as stress, and how it affects the speech production system. In the discussion ... Keywords: Lombard effect, Teager energy operator, hidden Markov models, pitch contours, robustness in speech recognition, speech technology, stress classification

John H. Hansen; Sanjay Patil

2007-02-01T23:59:59.000Z

58

A hybrid face recognition approach using GPUMLib  

Science Conference Proceedings (OSTI)

We present a hybrid face recognition approach which relies on a Graphics Processing Unit (GPU) Machine Learning (ML) Library (GPUMLib). The library includes a high-performance implementation of the Non-Negative Matrix Factorization (NMF) and the Multiple ... Keywords: GPU computing, face recognition, hybrid systems, multiple back-propagation, non-negative matrix factorization

Noel Lopes; Bernardete Ribeiro

2010-11-01T23:59:59.000Z

59

Emotion recognition from speech: a review  

Science Conference Proceedings (OSTI)

Emotion recognition from speech has emerged as an important research area in the recent past. In this regard, review of existing work on emotional speech processing is useful for carrying out further research. In this paper, the recent literature on ... Keywords: Classification models, Elicited speech corpus, Emotion recognition, Excitation source features, Natural speech corpus, Prosodic features, Simulated emotional speech corpus, System features

Shashidhar G. Koolagudi; K. Sreenivasa Rao

2012-06-01T23:59:59.000Z

60

Nonlinear Discriminant Analysis for Improved Speech Recognition  

E-Print Network (OSTI)

Linear Discriminant Analysis (LDA) has been widely applied to speech recognition resulting in improved recognition performance and improved robustness. LDA designs a linear transformation that projects a n dimensional space on a m dimensional space (m Phonebook database show that NLDA provides a method for designing discriminant features particularly ecient as well for continuous densities HMM as for hybrid HMM/ANN recognizers.

V. Fontaine; C. Ris; J-M. Boite; Multitel Site Initialis

1997-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "recognition particle-receptor complex" 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

A Comparative Study of Palmprint Recognition Algorithms  

Science Conference Proceedings (OSTI)

Palmprint images contain rich unique features for reliable human identification, which makes it a very competitive topic in biometric research. A great many different low resolution palmprint recognition algorithms have been developed, which can be roughly ... Keywords: Biometrics, feature extraction, palmprint recognition, performance evaluation, person identification

David Zhang; Wangmeng Zuo; Feng Yue

2012-01-01T23:59:59.000Z

62

The Researches of Microscopic Image Segmentation and Recognition on the Cancer Cells Fallen into Peritoneal Effusion  

Science Conference Proceedings (OSTI)

Abstract: Auto-segmentation of cell is one of the most interesting segmentation problems due to the complex nature of the cell tissues and to the inherent problems of video microscopic image. Objects, which are variant, narrow range of gray levels, non-random ... Keywords: Artificial neural network, computer-aided diagnosis, cell image segmentation, cell image recognition, peritoneal effusion

Hongyuan Wang; Shenggen Zeng; Chengang Yu; Xiaogang Wang; Deshen Xia

2001-06-01T23:59:59.000Z

63

Recognition | ENERGY STAR Buildings & Plants  

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

Recognition Recognition Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In This Section Campaigns Commercial building design Communications resources Energy management guidance Financial resources Portfolio Manager Products and purchasing Recognition Research and reports Service and product provider (SPP) resources Success stories Target Finder Technical documentation

64

Nonparametric Subspace Analysis for Face Recognition  

Science Conference Proceedings (OSTI)

Linear discriminant analysis (LDA) is a popular face recognition technique. However, an inherent problem with this technique stems from the parametric nature of the scatter matrix, in which the sample distribution in each class is assumed to be normal ...

Zhifeng Li; Wei Liu; Dahua Lin; Xiaoou Tang

2005-06-01T23:59:59.000Z

65

Introducing baselines for russian named entity recognition  

Science Conference Proceedings (OSTI)

Current research efforts in Named Entity Recognition deal mostly with the English language. Even though the interest in multi-language Information Extraction is growing, there are only few works reporting results for the Russian language. This paper ...

Rinat Gareev, Maksim Tkachenko, Valery Solovyev, Andrey Simanovsky, Vladimir Ivanov

2013-03-01T23:59:59.000Z

66

Algorithms and Representations for Visual Recognition  

E-Print Network (OSTI)

head yaw and matches the human error rate when the personRECOGNITION Average human error in degrees (6.66 head, 7.07interface True yaw (b) Human Error (c) Head Yaw (d) Torso

Maji, Subhransu

2011-01-01T23:59:59.000Z

67

Automated Speech Recognition in air traffic control  

E-Print Network (OSTI)

Over the past few years, the technology and performance of Automated Speech Recognition (ASR) systems has been improving steadily. This has resulted in their successful use in a number of industrial applications. Motivated ...

Trikas, Thanassis

1987-01-01T23:59:59.000Z

68

GPSG-Recognition is NP-Hard  

E-Print Network (OSTI)

Proponents of generalized phrase structure grammar (GPSG) cite its weak context-free generative power as proof of the computational tractability of GPSG-Recognition. Since context-free languages (CFLs) can be parsed ...

Ristad, Eric Sven

1985-03-01T23:59:59.000Z

69

Human activity recognition based on surrounding things  

Science Conference Proceedings (OSTI)

This paper proposes human activity recognition based on the actual semantics of the humans current location. Since predefining the semantics of location is inadequate to identify human activities, we process information about things to automatically ...

Naoharu Yamada; Kenji Sakamoto; Goro Kunito; Kenichi Yamazaki; Satoshi Tanaka

2005-12-01T23:59:59.000Z

70

A hardware accelerator for speech recognition algorithms  

Science Conference Proceedings (OSTI)

This paper describes two custom architectures tailored to a speech recognition beam search algorithm. Both architectures have been simulated using real data and the results of the simulation are presented. The paper also describes the design process ...

T. S. Anantharaman; R. Bisiani

1986-06-01T23:59:59.000Z

71

Spoken emotion recognition using glottal symmetry  

Science Conference Proceedings (OSTI)

Speech variability in real-world situations makes spoken emotion recognition a challenging task. While a variety of temporal and spectral speech features have been proposed, this paper investigates the effectiveness of using the glottal airflow signal ...

Alexander I. Iliev; Michael S. Scordilis

2011-01-01T23:59:59.000Z

72

Iris Recognition Report Evaluates 'Needle in Haystack' Search ...  

Science Conference Proceedings (OSTI)

Iris Recognition Report Evaluates 'Needle in Haystack' Search Capability. From NIST Tech Beat: April 17, 2012. ...

2012-04-17T23:59:59.000Z

73

Brief description of image based 3D face recognition methods  

Science Conference Proceedings (OSTI)

The goal of this paper is to presents Brief Description of literature on Image Based human and machine recognition of faces during 1987 to 2010. Machine recognition of faces has several applications. As one of the most successful applications of image ... Keywords: 3D Face Recognition, 3D Morphable Model, Categorization, Face Detection, Face Recognition from Image Sequences, Independent Component Analysis, Linear Discriminate Analysis, Principal Component Analysis, Video based face recognition, research Issues

Sushma Jaiswal; Sarita Singh Bhadauria; Rakesh Singh Jadon; Tarun Kumar Divakar

2010-12-01T23:59:59.000Z

74

Interpretation of complex scenes using dynamic tree-structure Bayesian networks  

Science Conference Proceedings (OSTI)

This paper addresses the problem of object detection and recognition in complex scenes, where objects are partially occluded. The approach presented herein is based on the hypothesis that a careful analysis of visible object details at various scales ... Keywords: Bayesian networks, Dynamic trees, Generative models, Image segmentation, Object recognition, Variational inference

Sinisa Todorovic; Michael C. Nechyba

2007-04-01T23:59:59.000Z

75

Identifying the nature of the interface in protein-protein complexes  

Science Conference Proceedings (OSTI)

The role of molecular recognition is critical to the proper self-assembly of biological macromolecules and their function. Shape complementarity of the mutual recognition interfaces is one of the important factors that guide this interaction. The lock-and-key ... Keywords: data mining, nature of protein interfaces, protein-protein complex

Pralay Mitra

2010-02-01T23:59:59.000Z

76

Natural Statistical Models for Automatic Speech Recognition  

E-Print Network (OSTI)

The performance of state-of-the-art speech recognition systems is still far worse than that of humans. This is partly caused by the use of poor statistical models. In a general statistical pattern classification task, the probabilistic models should represent the statistical structure unique to and distinguishing those objects to be classified. In many cases, however, model families are selected without verification of their ability to represent vital discriminative properties. For example, Hidden Markov Models (HMMs) are frequently used in automatic speech recognition systems even though they possess conditional independence properties that might cause inaccuracies when modeling and classifying speech signals. In this work, a new method for automatic speech recognition is developed where the natural statistical properties of speech are used to determine the probabilistic model. Starting from an HMM, new models are created by adding dependencies only if they are not already well captured by the HMM, and only if they increase the

Jeffrey Adam Bilmes

1999-01-01T23:59:59.000Z

77

Idaho National Laboratory receives national recognition for Small Business  

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

Media contacts: Media contacts: Erik Simpson (208) 360-0426 Idaho National Laboratory receives national recognition for Small Business Mentoring Program With the help of American Recovery and Reinvestment Act funds, the Idaho Cleanup Project continues work to protect the Snake River Plain Aquifer this week by injecting grout into 21 buried waste locations in the Subsurface Disposal Area (SDA) of the Radioactive Waste Management Complex (RWMC) at the Department of Energy�s Idaho Site. The project will cost $8.2 million and will reduce the threat of contaminants migrating toward the aquifer by keeping water out of the waste. �Protecting the Snake River Plain Aquifer is a priority at the Idaho Site. Thanks to Recovery Act funds, this grouting work will help ensure the safety of our important natural resource,� said Rick Provencher, manager of DOE�s Idaho Operations Office.

78

Sorting-Based Calculation of Zeros and Extrema of Functions as Applied to Search and Recognition. II  

Science Conference Proceedings (OSTI)

A stable address sorting and an extrema localization condition based on it are applied for approximate calculation of complex roots of polynomials and zeros of derivatives of functions of one variable. This method is used to localize extrema in discrete ... Keywords: address sorting, search and recognition, sorting-based calculation, zeros and extrema of functions

Ya. E. Romm

2001-09-01T23:59:59.000Z

79

Electrophysiological Correlates of Emotion-Induced Recognition Bias  

Science Conference Proceedings (OSTI)

The question of how emotions influence recognition memory is of interest not only within basic cognitive neuroscience but from clinical and forensic perspectives as well. Emotional stimuli can induce a "recognition bias" such that individuals are more ...

Sabine Windmann; Marta Kutas

2001-07-01T23:59:59.000Z

80

A contrario detection of false matches in iris recognition  

Science Conference Proceedings (OSTI)

The pattern of the human iris contains rich information which provides one of the most accurate methods for recognition of individuals. Identification through iris recognition is achieved by matching a biometric template generated from the texture of ...

Marcelo Mottalli; Mariano Tepper; Marta Mejail

2010-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "recognition particle-receptor complex" 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

A virtual touchscreen with depth recognition  

Science Conference Proceedings (OSTI)

While touch interfaces have become more popular, they are still mostly confined to mobile platforms such as smart phones and notebooks. Mouse interfaces still dominate desktop platforms due to their portability, ergonomic design and large number of possible ... Keywords: gesture recognition, shadow detection, stereo vision, touch interface

Gabriel Hartmann, Burkhard C. Wnsche

2012-01-01T23:59:59.000Z

82

Curvelet based face recognition via dimension reduction  

Science Conference Proceedings (OSTI)

Multiresolution ideas, notably the wavelet transform, have been proved quite useful for analyzing the information content of facial images. Numerous papers and research articles have discussed the application of wavelet transform in face recognition. ... Keywords: Digital curvelet transform, LDA, Multiresolution analysis, PCA, Subbands, Wavelet transform

Tanaya Mandal; Q. M. Jonathan Wu; Yuan Yuan

2009-12-01T23:59:59.000Z

83

Speech recognition using augmented conditional random fields  

Science Conference Proceedings (OSTI)

Acoustic modeling based on hidden Markov models (HMMs) is employed by state-of-the-art stochastic speech recognition systems. Although HMMs are a natural choice to warp the time axis and model the temporal phenomena in the speech signal, their conditional ... Keywords: augmented conditional random fields (ACRFs), augmented spaces, discriminative compression, hidden Markov models (HMMs)

Yasser Hifny; Steve Renals

2009-02-01T23:59:59.000Z

84

R&D 100 Awards Recognition Ceremony - LANL  

R&D 100 Awards Recognition Ceremony Thursday, June 7, 2007 Bradbury Science Museum Los Alamos, New Mexico

85

Whole-home gesture recognition using wireless signals  

Science Conference Proceedings (OSTI)

This paper presents WiSee, a novel gesture recognition system that leverages wireless signals (e.g., Wi-Fi) to enable whole-home sensing and recognition of human gestures. Since wireless signals do not require line-of-sight and can traverse through walls, ... Keywords: gesture recognition, whole-home interaction, wireless sensing

Qifan Pu, Sidhant Gupta, Shyamnath Gollakota, Shwetak Patel

2013-09-01T23:59:59.000Z

86

Recognition of human behavior by space-time silhouette characterization  

Science Conference Proceedings (OSTI)

In this study, a method for human action recognition is proposed. Only one camera is used, without calibration. Viewpoint invariance is obtained by several acquisitions of the same action. The originality of the method consists in characterizing each ... Keywords: Action recognition, Behavior recognition, Motion analysis

Arash Mokhber; Catherine Achard; Maurice Milgram

2008-01-01T23:59:59.000Z

87

Maximization of Mutual Information for Offline Thai Handwriting Recognition  

Science Conference Proceedings (OSTI)

This paper aims to improve the performance of an HMM-based offline Thai handwriting recognition system through discriminative training and the use of fine-tuned feature extraction methods. The discriminative training is implemented by maximizing the ... Keywords: Character recognition, Hidden Markov Model, discriminative training, PCA, feature extraction, Thai handwriting recognition.

Roongroj Nopsuwanchai; Alain Biem; William F. Clocksin

2006-08-01T23:59:59.000Z

88

A hybrid method for robust car plate character recognition  

Science Conference Proceedings (OSTI)

Image-based car plate recognition is an indispensable part of an intelligent traffic system. The quality of the images taken for car plates, especially for Chinese car plates, however, may sometimes be very poor, due to the operating conditions and distortion ... Keywords: Car plate character recognition, Genetic algorithm, Multiple classifiers combination, Similar character recognition, Statistical classification, Structural classification

Xiang Pan; Xiuzi Ye; Sanyuan Zhang

2005-12-01T23:59:59.000Z

89

Naive bayesian multistep speaker recognition using competitive associative nets  

Science Conference Proceedings (OSTI)

This paper presents a method of multistep speaker recognition using naive Bayesian inference and competitive associative nets (CAN2s). We have been examining a method of speaker recognition using feature vectors of pole distribution extracted by the ... Keywords: Bayesian inference, competitive associative net, multistep speaker recognition

Shuichi Kurogi; Shota Mineishi; Tomohiro Tsukazaki; Takeshi Nishida

2011-11-01T23:59:59.000Z

90

Corpus-based intention recognition in cooperation dilemmas  

Science Conference Proceedings (OSTI)

Intention recognition is ubiquitous in most social interactions among humans and other primates. Despite this, the role of intention recognition in the emergence of cooperative actions remains elusive. Resorting to the tools of evolutionary game theory, ... Keywords: Evolution of cooperation, corpus-based intention recognition, evolutionary game theory, intention-based decision making, prisoner's dilemma

The Anh Han; Lus Moniz Pereira; Francisco C. Santos

2012-10-01T23:59:59.000Z

91

Face recognition in JPEG and JPEG2000 compressed domain  

Science Conference Proceedings (OSTI)

In this paper we investigate the potential of performing face recognition in JPEG and JPEG2000 compressed domain. This is achieved by avoiding full decompression and using transform coefficients as input to face recognition algorithms. We propose a new ... Keywords: Compressed Domain, DCT, DWT, Face Recognition, JPEG, JPEG2000

Kresimir Delac; Mislav Grgic; Sonja Grgic

2009-07-01T23:59:59.000Z

92

A Proposed Biologically Inspired Model for Object Recognition  

Science Conference Proceedings (OSTI)

Object recognition has attracted the attention of many researchers as it is considered as one of the most important problems in computer vision. Two main approaches have been utilized to develop object recognition solutions i.e. machine and biological ... Keywords: Bio-Inspired systems, Feed-forward model, Feedback model, Human Visual System, Object recognition

Hamada R. Al-Absi; Azween B. Abdullah

2009-11-01T23:59:59.000Z

93

Report: Employee Recruitment and Service Recognition  

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

Employee Recruitment and Service Recognition Employee Recruitment and Service Recognition September 30, 2009 Submitted by the EMAB Human Capital Subcommittee Background: In Fiscal Year (FY) 2009, the Environmental Management Advisory Board (EMAB) was tasked by Assistant Secretary Triay to continue identifying and sharing corporate experiences, strategies, and programs that are adaptable to EM's diversity and employee recruitment and retention initiatives. In order to pursue this charge, EMAB extended the operation of its Human Capital Subcommittee - consisting of Board members, Lessie Price, Jennifer Salisbury, A. James Barnes, and G. Brian Estes. These members participated in a conference call with the Director of the Office of Human Capital, Desi Crouther on August 4, 2009, to further discuss

94

Improved Phonetic Speaker Recognition Using Lattice Decoding  

E-Print Network (OSTI)

The current state-of-the-art in phonetic speaker recognition uses relative frequencies of phone n-grams as features for training speaker models and for scoring test-target pairs. Typically, these relative frequencies are computed from a simple 1-best phone decoding of the input speech. In this paper, we present results on the Switchboard-2 corpus, where we compare 1-best phone decodings versus lattice phone decodings for the purposes of performing phonetic speaker recognition. The phone decodings are used to compute relative frequencies of phone bigrams, which are then used as inputs for two standard phonetic speaker recognition systems: a system based on log-likelihood ratios (LLRs) [1, 2], and a system based on support vector machines (SVMs) [3]. In each experiment, the lattice phone decodings achieve relative reductions in equal-error rate (EER) of between 31 % and 66 % below the EERs of the 1-best phone decodings. Our best phonetic system achieves an EER of 2.0 % on 8-conversation training and 1.4 % when combined with a GMM-based system. 1.

Andrew O. Hatch; Barbara Peskin; Andreas Stolcke

2005-01-01T23:59:59.000Z

95

Aerial Scene Recognition using Efficient Sparse Representation  

SciTech Connect

Advanced scene recognition systems for processing large volumes of high-resolution aerial image data are in great demand today. However, automated scene recognition remains a challenging problem. Efficient encoding and representation of spatial and structural patterns in the imagery are key in developing automated scene recognition algorithms. We describe an image representation approach that uses simple and computationally efficient sparse code computation to generate accurate features capable of producing excellent classification performance using linear SVM kernels. Our method exploits unlabeled low-level image feature measurements to learn a set of basis vectors. We project the low-level features onto the basis vectors and use simple soft threshold activation function to derive the sparse features. The proposed technique generates sparse features at a significantly lower computational cost than other methods~\\cite{Yang10, newsam11}, yet it produces comparable or better classification accuracy. We apply our technique to high-resolution aerial image datasets to quantify the aerial scene classification performance. We demonstrate that the dense feature extraction and representation methods are highly effective for automatic large-facility detection on wide area high-resolution aerial imagery.

Cheriyadat, Anil M [ORNL

2012-01-01T23:59:59.000Z

96

Variable Lymphocyte Receptor Recognition of the Immunodominant Glycoprotein of Bacillus anthracis Spores  

Science Conference Proceedings (OSTI)

Variable lymphocyte receptors (VLRs) are the adaptive immune receptors of jawless fish, which evolved adaptive immunity independent of other vertebrates. In lieu of the immunoglobulin fold-based T and B cell receptors, lymphocyte-like cells of jawless fish express VLRs (VLRA, VLRB, or VLRC) composed of leucine-rich repeats and are similar to toll-like receptors (TLRs) in structure, but antibodies (VLRB) and T cell receptors (VLRA and VLRC) in function. Here, we present the structural and biochemical characterization of VLR4, a VLRB, in complex with BclA, the immunodominant glycoprotein of Bacillus anthracis spores. Using a combination of crystallography, mutagenesis, and binding studies, we delineate the mode of antigen recognition and binding between VLR4 and BclA, examine commonalities in VLRB recognition of antigens, and demonstrate the potential of VLR4 as a diagnostic tool for the identification of B. anthracis spores.

Kirchdoerfer, Robert N.; Herrin, Brantley R.; Han, Byung Woo; Turnbough, Jr., Charles L.; Cooper, Max D.; Wilson, Ian A. (SNU); (Scripps); (Emory); (UAB); (Emory Vaccine)

2012-07-25T23:59:59.000Z

97

Enantiomeric recognition of organic ammonium salts by chiral crown ethers based on the pyridino-18-crown-6 structure  

SciTech Connect

Enantiomeric recognition by several chiral dimethyl-substituted macrocycles of the pyridino-18-crown-6 type for chiral organic ammonium salts has been studied by titration calorimetry in CH/sub 3/OH, temperature-dependent /sup 1/H NMR spectroscopy in CD/sub 2/CL/sub 2/, and selective crystallization. Results from the three procedures are consistent in demonstrating either host-guest recognition or nonrecognition in the systems investigated. Futhermore, enaniomeric recognition by one chiral host for a pair of chiral guests is correlated with X-ray crystallographic data for the same system. The chiral dimethyl-substituted ligands used in the study include three dimethyl diester pyridino-18-crown-6 ligands, dimethyl thiono diester pyridino-18-crown-6, and dimethyl-pyridino-18-crown-6 ligands. All of these ligands exhibited chiral recognition. Dimethylpyridino-18-crown-6 in complexation with (R)- and (S)-(..cap alpha..-(1-naphthyl)ethyl)ammonium perchlorate exhibited the largest ratio of ..delta..G/sub c/+ yet observed by the /sup 1/H NMR technique. A diphenyl-substituted diester pyridino-18-crown-6 where the phenyl substituents are in less rigid portion of the macrocycle failed to show chiral recognition.

Davidson, R.B.; Bradshaw, J.S.; Jones, B.A.; Dalley, N.K.; Christensen, J.J.; Izatt, R.M.

1984-01-27T23:59:59.000Z

98

Leaders recognition for your portfolio | ENERGY STAR Buildings & Plants  

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

Earn the ENERGY STAR and other recognition Earn the ENERGY STAR and other recognition » ENERGY STAR portfolio-wide recognition » Leaders recognition for your portfolio Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In this section How can we help you? Build an energy program Improve building and plant performance Earn the ENERGY STAR and other recognition Earn recognition for your building or plant

99

Image Recognition Techniques for Gamma Spectroscopy  

SciTech Connect

Photons, after generated from a radioactive source and before they deposit their energy in a photo detector, are subsequent to multiple scattering mechanisms. As a result, the measured energy from the photo detector is different from the energy the photon had when generated. This is known as folding of the photon energy. Moreover, statistical fluctuation inside the detector contribute to energy folding. In this work, a new method is presented for unfolding the gamma ray spectrum. The method uses a 2-dimensional representation of the measured spectrum (image) and then uses image recognition techniques, and especially differential edge detection, to generate the original spectrum.

Vlachos, D. S. [University of Peloponnese, 22100 Tripoli (Greece); Tsabaris, C. G. [Hellenic Center for Marine Research, 19013 Athens (Greece)

2007-12-26T23:59:59.000Z

100

Pattern recognition monitoring of PEM fuel cell  

DOE Patents (OSTI)

The CO-concentration in the H.sub.2 feed stream to a PEM fuel cell stack is monitored by measuring current and voltage behavior patterns from an auxiliary cell attached to the end of the stack. The auxiliary cell is connected to the same oxygen and hydrogen feed manifolds that supply the stack, and discharges through a constant load. Pattern recognition software compares the current and voltage patterns from the auxiliary cell to current and voltage signature determined from a reference cell similar to the auxiliary cell and operated under controlled conditions over a wide range of CO-concentrations in the H.sub.2 fuel stream.

Meltser, Mark Alexander (Pittsford, NY)

1999-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "recognition particle-receptor complex" 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

Pattern recognition monitoring of PEM fuel cell  

DOE Patents (OSTI)

The CO-concentration in the H{sub 2} feed stream to a PEM fuel cell stack is monitored by measuring current and voltage behavior patterns from an auxiliary cell attached to the end of the stack. The auxiliary cell is connected to the same oxygen and hydrogen feed manifolds that supply the stack, and discharges through a constant load. Pattern recognition software compares the current and voltage patterns from the auxiliary cell to current and voltage signature determined from a reference cell similar to the auxiliary cell and operated under controlled conditions over a wide range of CO-concentrations in the H{sub 2} fuel stream. 4 figs.

Meltser, M.A.

1999-08-31T23:59:59.000Z

102

Pantex receives Perkins Award in recognition of its work with...  

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

Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home > NNSA Blog > Pantex receives Perkins Award in recognition of ... Pantex receives Perkins Award in...

103

Earn recognition for your building or plant | ENERGY STAR  

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

STAR decal. Sometimes, you need more than a pat on the back. For that, EPA offers three types of formal recognition for energy efficiency within individual facilities. ENERGY...

104

Modified MFCC windowed technique for speaker word recognition  

Science Conference Proceedings (OSTI)

Mel frequency cepstral coefficients (MFCCs) are one of the most popular forms of parameterization of the speech signal in speaker word recognition systems. MFCC's are based on the known variation of the human ear's critical bandwidths. In this paper, ... Keywords: DCT, MFCC, hamming window, kaiser window, modified MFCC, speaker word recognition, windowing techniques

I. Patel; Y. S. Rao

2011-02-01T23:59:59.000Z

105

The Chinese speech emotion interaction and recognition on internet  

Science Conference Proceedings (OSTI)

In this paper, we attempt to establish a communication environment of emotions and select six emotions---joy, surprise, anger, sadness, fear and neutral. With the speech recognition, the researcher analyzes the changes and reactions of emotions in speeches ... Keywords: internet emotion communication, online games, speech emotion recognition

Kuen-Meau Chen; Ming-Jen Wang; Hsueh-Wen Niu; Ku-Ching Chiang

2007-08-01T23:59:59.000Z

106

Ensemble methods for spoken emotion recognition in call-centres  

Science Conference Proceedings (OSTI)

Machine-based emotional intelligence is a requirement for more natural interaction between humans and computer interfaces and a basic level of accurate emotion perception is needed for computer systems to respond adequately to human emotion. Humans convey ... Keywords: Affect recognition, Emotion recognition, Ensemble methods, Speech databases, Speech processing

Donn Morrison; Ruili Wang; Liyanage C. De Silva

2007-02-01T23:59:59.000Z

107

Evaluation function of sensor position for activity recognition considering wearability  

Science Conference Proceedings (OSTI)

In the wearable computing environment, a computer provides many kinds of services by using the values from wearable sensors to recognize the user's movements or situations. In the research on activity recognition, accelerometers are attached on the user's ... Keywords: accelerometer, activity recognition, wearability

Kazuya Murao, Haruka Mogari, Tsutomu Terada, Masahiko Tsukamoto

2013-09-01T23:59:59.000Z

108

Automatic speech recognition and speech variability: A review  

Science Conference Proceedings (OSTI)

Major progress is being recorded regularly on both the technology and exploitation of automatic speech recognition (ASR) and spoken language systems. However, there are still technological barriers to flexible solutions and user satisfaction under some ... Keywords: Speech analysis, Speech intrinsic variations, Speech modeling, Speech recognition

M. Benzeghiba; R. De Mori; O. Deroo; Stephane Dupont; T. Erbes; D. Jouvet; L. Fissore; P. Laface; A. Mertins; C. Ris; R. Rose; V. Tyagi; C. Wellekens

2007-10-01T23:59:59.000Z

109

Intention Recognition via Causal Bayes Networks Plus Plan Generation  

Science Conference Proceedings (OSTI)

In this paper, we describe a novel approach to tackle intention recognition, by combining dynamically configurable and situation-sensitive Causal Bayes Networks plus plan generation techniques. Given some situation, such networks enable recognizing agent ... Keywords: ASCP, Causal Bayes Networks, Intention recognition, Logic Programming, P-log, Plan generation

Lus Moniz Pereira; Han The Anh

2009-10-01T23:59:59.000Z

110

Toward enhanced Arabic speech recognition using part of speech tagging  

Science Conference Proceedings (OSTI)

One major source of suboptimal performance in automatic continuous speech recognition systems is misrecognition of small words. In general, errors resulting from small words are much more than errors resulting from long words. Therefore, compounding ... Keywords: Compound words, Language model, Modern Standard Arabic, Part of speech tagging, Speech recognition

Dia Abuzeina; Wasfi Al-Khatib; Moustafa Elshafei; Husni Al-Muhtaseb

2011-12-01T23:59:59.000Z

111

Object Recognition by Sequential Figure-Ground Ranking  

Science Conference Proceedings (OSTI)

We present an approach to visual object-class segmentation and recognition based on a pipeline that combines multiple figure-ground hypotheses with large object spatial support, generated by bottom-up computational processes that do not exploit knowledge ... Keywords: Learning and ranking, Object recognition, Semantic segmentation

Joo Carreira; Fuxin Li; Cristian Sminchisescu

2012-07-01T23:59:59.000Z

112

VC-Dimension Analysis of Object Recognition Tasks  

Science Conference Proceedings (OSTI)

We analyze the amount of data needed to carry out various model-based recognition tasks in the context of a probabilistic data collection model. We focus on objects that may be described as semi-algebraic subsets of a Euclidean space. This is a very ... Keywords: PAC, Vapnik-Chervonenkis dimension, computer vision, learning theory, localization, model-based recognition

Michael Lindenbaum; Shai Ben-David

1999-01-01T23:59:59.000Z

113

2D Markovian modeling for character recognition and segmentation  

Science Conference Proceedings (OSTI)

Processing text components in multimedia contents remains a challenging issue for document indexing and retrieval. More specifically, handwritten characters processing is a very active field of pattern recognition. This paper describes an innovative ... Keywords: 2D dynamic programming, Markov random fields, handwriting recognition

Sylvain Chevalier; Edouard Geoffrois; Franoise Prteux

2005-07-01T23:59:59.000Z

114

Are face recognition methods useful for classifying ships?  

Science Conference Proceedings (OSTI)

Face recognition research has gained significant interest in recent years which has resulted in the development of many state-of-the-art methods. However, it is not well-known how domain specific these methods are to the problem of face recognition. ...

Josh Harguess; Katie Rainey

2011-10-01T23:59:59.000Z

115

Face Recognition Using Separate Layers of the RGB Image  

Science Conference Proceedings (OSTI)

In many cases face recognition of still images is performed with greyscale images. These images are actually converted from a color image to greyscale before the analysis takes place. A consequence of such a conversion is obviously loss of information, ... Keywords: Face recognition, RGB, PCA, biometrics, authentication

Patrick Bours; Kirsi Helkala

2008-08-01T23:59:59.000Z

116

Facial expression recognition from near-infrared videos  

Science Conference Proceedings (OSTI)

Facial expression recognition is to determine the emotional state of the face regardless of its identity. Most of the existing datasets for facial expressions are captured in a visible light spectrum. However, the visible light (VIS) can change with ... Keywords: Component-based facial features, Facial expression recognition, Near-infrared (NIR), Spatiotemporal descriptors, Visible light (VIS)

Guoying Zhao; Xiaohua Huang; Matti Taini; Stan Z. Li; Matti PietikInen

2011-08-01T23:59:59.000Z

117

On the pattern recognition and classification of stochastically episodic events  

Science Conference Proceedings (OSTI)

Researchers in the field of Pattern Recognition (PR) have traditionally presumed the availability of a representative set of data drawn from the classes of interest, say ?1 and ?2 in a 2-class problem. These ... Keywords: erroneous data, pattern recognition, rare events, stochastic events

Colin Bellinger; B. John Oommen

2012-01-01T23:59:59.000Z

118

Mathematical treatment of uncertainty in the speech recognition process  

Science Conference Proceedings (OSTI)

One of the main difficulties in the speech recognition process is the treatment of the imprecisions around it. They have origin in the differences between the articulatory system of each person and the physical properties of the sound propagation. Moreover, ... Keywords: Hidden Markov model, fuzzy, interval analysis, mathematical treatment, speech recognition, uncertainty

Hesdras Oliveira Viana; Diogo Pereira Silva De Novais; Roque Mendes Prado Trindade

2010-11-01T23:59:59.000Z

119

Classifier Ensemble Selection Using Genetic Algorithm for Named Entity Recognition  

Science Conference Proceedings (OSTI)

In this paper, we propose a classifier ensemble technique based on genetic algorithm (GA) for named entity recognition (NER). We assume that the classifiers based on different feature representations can be effectively combined together using GA to achieve ... Keywords: Classifier ensemble, Genetic algorithm, Maximum entropy, Named entity recognition, Natural language processing

Asif Ekbal; Sriparna Saha

2010-03-01T23:59:59.000Z

120

Face images feature extraction analysis for recognition in frequency domain  

Science Conference Proceedings (OSTI)

In this paper a novel technique to extract facial features for recognition in frequency domain using Discrete Fourier Transform (DFT) is presented. In pre processing phase facial tilt and varying image background challenges have been addressed to improve ... Keywords: DFT, dimension reduction, face recognition, facial tilt, image background, image decimation

M. Almas Anjum; M. Younus Javed

2006-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "recognition particle-receptor complex" 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

Morphology in Word Recognition: Hindi and Urdu  

E-Print Network (OSTI)

The present research examined whether morphology influences word recognition independently of form-level word properties. Prevailing views attribute cross-linguistic differences in morphological processing to variations in morphological structure and/or productivity. This study tested whether morphological processing is additionally influenced by the orthographic depth of written language, by comparing primed word naming among biliterate readers of Hindu and Urdu, languages written in distinct orthographies but sharing a common morphophonology. Results from five experiments supported the view that morphological processing in orthographically shallow (transparent) Hindi script diverged significantly from that in the deeper (opaque) Urdu orthography. Specifically, morphological priming was differently affected in Hindi vs. Urdu by prim presentation conditions (Exps. 1-3): very briefly exposed (48ms), forward masked morphological primes facilitated word naming in Hindi but not in Urdu. Neither briefly presented, unmasked primes nor longer prime exposures (80ms/240ms) produced priming in Hindi, but Experiment 2 showed priming by unmasked Hindi primes at a 240 ms exposure. By contrast, Urdu exhibited morphological priming only for forward masked primes at the long exposure of 240ms. Thus, early-onset priming in Hindi resembled morpho-orthographic decomposition previously recorded in English, whereas Urdu evinced priming consistent with morpho-semantic effects documented across several languages. Hemispheric asymmetry in morphological priming also diverged across Hindi and Urdu (Exps. 4 and 5); Hindi revealed a non-significant numerical trend for facilitation by morphological primes only in the right visual field (RVF), whereas reliable morphological priming in Urdu was limited to left visual field (LVF) presentation.Disparate patterns in morphological processing asymmetry were corroborated by differences in baseline visual field asymmetries in Hindi vs. Urdu word recognition- filler words elicited a consistent RVF advantage in Hindi, whereas in Urdu, one-syllable fillers, but not two- and three-syllable words revealed the RVF advantage. Taken together, the findings suggest that the variable of orthographic depth be integrated more explicitly into mainstream theoretical accounts of the mechanisms underlying morphological processing in word recognition. In addition, this study highlights the psycholinguistic potential of the languages Hindi and Urdu for advancing our understanding of the role of orthography as well as phonology in morphological processing.

Rao, Chaitra

2010-05-01T23:59:59.000Z

122

Osadciw, Fusion for Component based Face Recognition  

E-Print Network (OSTI)

Abstract This paper proposes a practical way to realize the diversity in face recognition system for performance improvement by fusing the classification results from the components (characteristic regions such as eyes, nose and mouth) and from the whole face image, instead of concatenating the face feature and the modular features for a single classifier. The extracted sub-images are not totally independent from the face image, but the experiments show that the fused result is improved from the recognition result based on the face or components alone. The fusion is implemented and compared at both score level and decision level. Communication resources are preserved between the sensor and fusion point in decision level fusion at the expense of performance, and the selection of which fusion scheme to use depends on the system resources and performance requirement. In the same way that the face images are used to construct the Eigenface [1] or DFLDA [2] feature space for recognition, the componentsare used to construct the feature spaces for each part on their own. Four components are considered in the simulation: eyes, nose, moth and forehead to derive similarity scores for four classifiers. Score level fusion sums the scores from each classifier to make the final decision as shown in Figure 1. The summation could be weighted according to the relative accuracy and importance of each individual classifier [3], [4]. Score level fusion needs to transmit the real number scores from the classifiers to the fusion center. This takes more transmission recourses than the categorical ranking decisions from the classifiers, but the score provides more information. Decision level fusion utilizes majority voting to fuse the results from each classifier as shown in Figure 2. Decision level fusion greatly reduces bandwidth needs on transmission. However, once the decision is made at each classifier based on the scores, the information on their relative degrees of similarity is lost preventing its use in the final decision. As shown in Table I, the classifiers based on the components are weaker than the classifier based on the face. Variations based on different weighting of the five classifiers are tried.

Yanjun Yan; Lisa Ann Osadciw

2007-01-01T23:59:59.000Z

123

(for Gene Recognition Analysis Internet Link),  

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

5 6/1/2011 5 6/1/2011 6.6 Speeding Up the Process of Gene Discovery The human genome contains information that could be used to prevent birth defects and treat or cure devastating diseases, but it is written in a language that scientists are only beginning to understand. To help decipher the code, Ed Uberbacher and colleagues at Oak Ridge National Laboratory combined cutting- edge computer technology with their knowledge of human biology to develop GRAIL (for Gene Recognition Analysis Internet Link), a "thinking" computer program that imitates the human learning process as it searches for genetic meaning. GRAIL and successor software programs can rapidly identify key instructions in genes from within vast stretches of DNA that appear to be meaningless-a critical contribution to the

124

Interpolated Markov Chains for Eukaryotic Promoter Recognition  

E-Print Network (OSTI)

Motivation: We describe a new content based approach for the detection of promoter regions of eukaryotic protein encoding genes. Our system is based on three interpolated Markov chains (IMCs) of different order which are trained on coding, non-coding, and promoter sequences. It was recently shown that the interpolation of Markov chains leads to stable parameters and improves on the results in microbial gene finding (Salzberg et al., 1998). Here, we present new methods for an automated estimation of optimal interpolation parameters and show how the IMCs can be applied to detect promoters in contiguous DNA sequences. Our interpolation approach can also be employed to obtain a reliable scoring function for human coding DNA regions, and the trained models can easily be incorporated in the general framework for gene recognition systems. Results: A fivefold cross-validation evaluation of our IMC approach on a representative sequence set yielded a mean correlation coefficient of 0.84 (promot...

Uwe Ohler; Stefan Harbeck; Heinrich Niemann; Elmar Nth; Martin G. Reese

1999-01-01T23:59:59.000Z

125

Regularized Robust Coding for Face Recognition  

E-Print Network (OSTI)

Recently the sparse representation based classification (SRC) has been proposed for robust face recognition (FR). In SRC, the testing image is coded as a sparse linear combination of the training samples, and the representation fidelity is measured by the l2-norm or l1-norm of the coding residual. Such a sparse coding model assumes that the coding residual follows Gaussian or Laplacian distribution, which may not be effective enough to describe the coding residual in practical FR systems. Meanwhile, the sparsity constraint on the coding coefficients makes SRC's computational cost very high. In this paper, we propose a new face coding model, namely regularized robust coding (RRC), which could robustly regress a given signal with regularized regression coefficients. By assuming that the coding residual and the coding coefficient are respectively independent and identically distributed, the RRC seeks for a maximum a posterior solution of the coding problem. An iteratively reweighted regularized robust coding (IR...

Meng, Yang; Jian, Yang; Zhang, David

2012-01-01T23:59:59.000Z

126

Optical character recognition of handwritten Arabic using hidden Markov models  

Science Conference Proceedings (OSTI)

The problem of optical character recognition (OCR) of handwritten Arabic has not received a satisfactory solution yet. In this paper, an Arabic OCR algorithm is developed based on Hidden Markov Models (HMMs) combined with the Viterbi algorithm, which results in an improved and more robust recognition of characters at the sub-word level. Integrating the HMMs represents another step of the overall OCR trends being currently researched in the literature. The proposed approach exploits the structure of characters in the Arabic language in addition to their extracted features to achieve improved recognition rates. Useful statistical information of the Arabic language is initially extracted and then used to estimate the probabilistic parameters of the mathematical HMM. A new custom implementation of the HMM is developed in this study, where the transition matrix is built based on the collected large corpus, and the emission matrix is built based on the results obtained via the extracted character features. The recognition process is triggered using the Viterbi algorithm which employs the most probable sequence of sub-words. The model was implemented to recognize the sub-word unit of Arabic text raising the recognition rate from being linked to the worst recognition rate for any character to the overall structure of the Arabic language. Numerical results show that there is a potentially large recognition improvement by using the proposed algorithms.

Aulama, Mohannad M. [University of Jordan; Natsheh, Asem M. [University of Jordan; Abandah, Gheith A. [University of Jordan; Olama, Mohammed M [ORNL

2011-01-01T23:59:59.000Z

127

ENERGY STAR Challenge for Industry: Recognition Application Form | ENERGY  

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

Recognition Application Form Recognition Application Form Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In This Section Campaigns Commercial building design Communications resources Energy management guidance Financial resources Portfolio Manager Products and purchasing Recognition Research and reports Service and product provider (SPP) resources Success stories Target Finder

128

Automatic target recognition apparatus and method  

DOE Patents (OSTI)

An automatic target recognition apparatus (10) is provided, having a video camera/digitizer (12) for producing a digitized image signal (20) representing an image containing therein objects which objects are to be recognized if they meet predefined criteria. The digitized image signal (20) is processed within a video analysis subroutine (22) residing in a computer (14) in a plurality of parallel analysis chains such that the objects are presumed to be lighter in shading than the background in the image in three of the chains and further such that the objects are presumed to be darker than the background in the other three chains. In two of the chains the objects are defined by surface texture analysis using texture filter operations. In another two of the chains the objects are defined by background subtraction operations. In yet another two of the chains the objects are defined by edge enhancement processes. In each of the analysis chains a calculation operation independently determines an error factor relating to the probability that the objects are of the type which should be recognized, and a probability calculation operation combines the results of the analysis chains.

Baumgart, Chris W. (Santa Fe, NM); Ciarcia, Christopher A. (Los Alamos, NM)

2000-01-01T23:59:59.000Z

129

Earn recognition for your company | ENERGY STAR Buildings & Plants  

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

Earn recognition for your company Earn recognition for your company Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In this section How can ENERGY STAR help your business? Get started Help your clients improve energy performance with ENERGY STAR Earn recognition for your company Use web services to exchange data with Portfolio Manager Earn recognition for your company Getting recognized for your efforts is a big part of how your company can

130

WIPP Environmental Initiatives Earn DOE Recognition | Department of Energy  

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

Environmental Initiatives Earn DOE Recognition Environmental Initiatives Earn DOE Recognition WIPP Environmental Initiatives Earn DOE Recognition October 29, 2012 - 12:00pm Addthis Department of Energy Carlsbad Field Office Site Operations Director Casey Gadbury (right) presents Farok Sharif, President and Project Manager for Nuclear Waste Partnership LLC, the management and operating contractor at the Waste Isolation Pilot Plant, with a 2012 DOE Sustainability Award during a recognition event at WIPP. More than 20 CBFO and contractor employees were recognized with sustainability awards in four categories. Department of Energy Carlsbad Field Office Site Operations Director Casey Gadbury (right) presents Farok Sharif, President and Project Manager for Nuclear Waste Partnership LLC, the management and operating contractor at

131

HMDB: A Large Video Database for Human Motion Recognition  

E-Print Network (OSTI)

With nearly one billion online videos viewed everyday, an emerging new frontier in computer vision research is recognition and search in video. While much effort has been devoted to the collection and annotation of large ...

Kuehne, H.

132

Self-generation ART neural network for character recognition  

Science Conference Proceedings (OSTI)

In this paper, we present a novel self-generation, supervised character recognition algorithm based on adaptive resonance theory (ART) artificial neural network (ANN) and delta-bar-delta method. By combining two methods, the proposed algorithm can reduce ...

Taekyung Kim; Seongwon Lee; Joonki Paik

2006-05-01T23:59:59.000Z

133

Scenario-Driven Automatic Pattern Recognition in Nowcasting  

Science Conference Proceedings (OSTI)

The purpose of this paper is to illustrate how the construction of a knowledge-based system (KBS) to support nowcasting, can be used to guide and facilitate the development of objective pattern recognition algorithms for use with meteorological ...

Robert C. Mcarthur; James R. Davis; David Reynolds

1987-03-01T23:59:59.000Z

134

A Stochastic Algorithm for Feature Selection in Pattern Recognition  

Science Conference Proceedings (OSTI)

We introduce a new model addressing feature selection from a large dictionary of variables that can be computed from a signal or an image. Features are extracted according to an efficiency criterion, on the basis of specified classification or recognition ...

Sbastien Gadat; Laurent Younes

2007-05-01T23:59:59.000Z

135

A Hybrid System for Learning Sunspot Recognition and Classification  

Science Conference Proceedings (OSTI)

Sunspots observation and classification are important tasks for solar astronomers. The activity of sunspots can give clues to the timing of solar flares and the solar weather in general. This paper describes a hybrid system for automatic sunspot recognition ...

Trung Thanh Nguyen; Claire P. Willis; Derek J. Paddon; Hung Son Nguyen

2006-11-01T23:59:59.000Z

136

Speech recognition as a computer graphics input technique (Panel Session)  

Science Conference Proceedings (OSTI)

Richard Rabin Interactive graphics systems typically require intense hands busy/eyes busy and brains busy activity on the part of the system user/operator. Voice input by means of automatic speech recognition equipment, offers major potential ...

Alan R. Strass; Mark Robillard; Sue Schedler; Matthew Peterson / Richard Rabin

1982-07-01T23:59:59.000Z

137

Nonlinear predictive models: overview and possibilities in speaker recognition  

Science Conference Proceedings (OSTI)

In this paper we give a brief overview of speaker recognition with special emphasis on nonlinear predictive models, based on neural nets. Main challenges and possibilities for nonlinear feature extraction are described, and experimental results of several ...

Marcos Faundez-Zanuy; Mohamed Chetouani

2007-01-01T23:59:59.000Z

138

UDel: named entity recognition and reference regeneration from surface text  

Science Conference Proceedings (OSTI)

This report describes the methods and results of a system developed for the GREC Named Entity Recognition and GREC Named Entity Regeneration Challenges 2010. We explain our process of automatically annotating surface text, as well as how we use this ...

Nicole L. Sparks; Charles F. Greenbacker; Kathleen F. McCoy; Che-Yu Kuo

2010-07-01T23:59:59.000Z

139

From manual to automated optical recognition of ancient coins  

Science Conference Proceedings (OSTI)

Illegal trade and theft of coins appears to be a major part of the illegal antiques market. Image based recognition of coins could substantially contribute to fight against it. Central component in the permanent identification and traceability of coins ...

Maia Zaharieva; Martin Kampel; Klaus Vondrovec

2007-09-01T23:59:59.000Z

140

Computer rotoscoping with the aid of color recognition  

E-Print Network (OSTI)

Rotoscoping is explored as a computer animation technique. The optical videodisc serves as the image storage and input source. Image processing and tablet painting routines are applied to digitized frames. "Color recognition", ...

Allen, Rebecca A

1980-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "recognition particle-receptor complex" 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

Noise robust speech recognition applied to voice-driven wheelchair  

Science Conference Proceedings (OSTI)

Conventional voice-driven wheelchairs usually employ headset microphones that are capable of achieving sufficient recognition accuracy, even in the presence of surrounding noise. However, such interfaces require users to wear sensors such as a headset ...

Akira Sasou; Hiroaki Kojima

2009-01-01T23:59:59.000Z

142

Faces as a "Model Category" for Visual Object Recognition  

E-Print Network (OSTI)

Visual recognition is an important ability that is central to many everyday tasks such as reading, navigation and social interaction, and is therefore actively studied in neuroscience, cognitive psychology and artificial ...

Tan, Cheston

2013-03-18T23:59:59.000Z

143

SEAS Recognition Ceremony -May 10, 2009 Goggin Ice Arena  

E-Print Network (OSTI)

Page 1 SEAS Recognition Ceremony - May 10, 2009 Goggin Ice Arena Main Arena - Ceremony Location Oak Card Distribution, Student & Faculty Processional Line Up. Students: Upon arriving at Goggin Ice Arena

Dollar, Anna

144

Detecting compounded anomalous SNMP situations using cooperative unsupervised pattern recognition  

Science Conference Proceedings (OSTI)

This research employs unsupervised pattern recognition to approach the thorny issue of detecting anomalous network behavior. It applies a connectionist model to identify user behavior patterns and successfully demonstrates that such models respond well ...

Emilio Corchado; lvaro Herrero; Jos Manuel Siz

2005-09-01T23:59:59.000Z

145

Beyond appearance features : contextual modeling for object recognition  

E-Print Network (OSTI)

data. (d) Ground Truth Recognition. Table 2.2: Comparison ofground-truth familiar and unfamiliar labels. Table 5.5 showstruth object while predicting the correct label. Table

Galleguillos, Carolina

2011-01-01T23:59:59.000Z

146

Context and subcategories for sliding window object recognition  

Science Conference Proceedings (OSTI)

Object recognition is one of the fundamental challenges in computer vision, where the goal is to identify and localize the extent of object instances within an image. The current de facto standard for building high-performance object category detectors ...

Santosh K. Divvala / Martial Hebert, Alexei A. Efros

2012-01-01T23:59:59.000Z

147

Soft computing, f-granulation and pattern recognition  

Science Conference Proceedings (OSTI)

Different components of soft computing (e.g., fuzzy logic, artificial neural networks, rough sets and genetic algorithms) and machine intelligence, and their relevance to pattern recognition and data mining are explained. Characteristic features of these ...

Sankar K. Pal

2010-11-01T23:59:59.000Z

148

Self-training for handwritten text line recognition  

Science Conference Proceedings (OSTI)

Off-line handwriting recognition deals with the task of automatically recognizing handwritten text from images, for example from scanned sheets of paper. Due to the tremendous variations of writing styles encountered between different individuals, this ...

Volkmar Frinken; Horst Bunke

2010-11-01T23:59:59.000Z

149

Multiple clues for license plate detection and recognition  

Science Conference Proceedings (OSTI)

This paper addresses a license plate detection and recognition (LPR) task on still images of trucks. The main contribution of our LPR system is the fusion of different segmentation algorithms used to improve the license plate detection. We also compare ...

Pablo Negri; Mariano Tepper; Daniel Acevedo; Julio Jacobo; Marta Mejail

2010-11-01T23:59:59.000Z

150

Integrated tracking and recognition of human activities in shape space  

Science Conference Proceedings (OSTI)

Activity recognition consists of two fundamental tasks: tracking the features/objects of interest, and recognizing the activities. In this paper, we show that these two tasks can be integrated within the framework of a dynamical feedback system. In our ...

Bi Song; Amit K. Roy-Chowdhury; N. Vaswani

2006-12-01T23:59:59.000Z

151

Rotation Invariant Object Recognition from One Training Example  

E-Print Network (OSTI)

Local descriptors are increasingly used for the task of object recognition because of their perceived robustness with respect to occlusions and to global geometrical deformations. Such a descriptor--based on a set of ...

Yokono, Jerry Jun

2004-04-27T23:59:59.000Z

152

Visual cluster analysis and pattern recognition template and methods  

DOE Patents (OSTI)

This invention is comprised of a method of clustering using a novel template to define a region of influence. Using neighboring approximation methods, computation times can be significantly reduced. The template and method are applicable and improve pattern recognition techniques.

Osbourn, G.C.; Martinez, R.F.

1993-12-31T23:59:59.000Z

153

Visual cluster analysis and pattern recognition template and methods  

DOE Patents (OSTI)

A method of clustering using a novel template to define a region of influence. Using neighboring approximation methods, computation times can be significantly reduced. The template and method are applicable and improve pattern recognition techniques.

Osbourn, Gordon Cecil (Albuquerque, NM); Martinez, Rubel Francisco (Albuquerque, NM)

1999-01-01T23:59:59.000Z

154

Large vocabulary continuous speech recognition using linguistic features and constraints  

E-Print Network (OSTI)

Automatic speech recognition (ASR) is a process of applying constraints, as encoded in the computer system (the recognizer), to the speech signal until ambiguity is satisfactorily resolved to the extent that only one ...

Tang, Min, Ph. D. Massachusetts Institute of Technology

2005-01-01T23:59:59.000Z

155

Joint extraction of entities and relations for opinion recognition  

Science Conference Proceedings (OSTI)

We present an approach for the joint extraction of entities and relations in the context of opinion recognition and analysis. We identify two types of opinion-related entities --- expressions of opinions and sources of opinions --- along with the linking ...

Yejin Choi; Eric Breck; Claire Cardie

2006-07-01T23:59:59.000Z

156

Idaho National Laboratory receives national recognition for Small...  

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

DOE-ID Tim Jackson, 208-526-8484 INL Misty Benjamin, 208-526-5940 Idaho National Laboratory receives national recognition for Small Business Mentoring Program IDAHO FALLS The...

157

Pantex receives National Weather Service recognition | National Nuclear  

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

National Weather Service recognition | National Nuclear National Weather Service recognition | 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 > Pantex receives National Weather Service recognition Pantex receives National Weather Service recognition Posted By Office of Public Affairs On the plains of the Texas Panhandle, it pays to be ready for unpredictable

158

Power and accuracy trade-offs in sound-based context recognition systems  

Science Conference Proceedings (OSTI)

This paper presents an empirical design methodology to optimize a context recognition system with respect to a trade-off between power consumption and recognition performance rather than straightforward maximization of the recognition rate. As illustration, ... Keywords: Activity detection, Context recognition, Power awareness, Sound analysis, Wearable computing

Mathias Stger; Paul Lukowicz; Gerhard Trster

2007-06-01T23:59:59.000Z

159

An overview of text-independent speaker recognition: From features to supervectors  

Science Conference Proceedings (OSTI)

This paper gives an overview of automatic speaker recognition technology, with an emphasis on text-independent recognition. Speaker recognition has been studied actively for several decades. We give an overview of both the classical and the state-of-the-art ... Keywords: Discriminative models, Feature extraction, Intersession variability compensation, Speaker recognition, Statistical models, Supervectors, Text-independence

Tomi Kinnunen; Haizhou Li

2010-01-01T23:59:59.000Z

160

Hand gesture recognition and tracking based on distributed locally linear embedding  

Science Conference Proceedings (OSTI)

In this paper, we present a computer vision system for human gesture recognition and tracking based on a new nonlinear dimensionality reduction method. Due to the variation of posture appearance, the recognition and tracking of human hand gestures from ... Keywords: Distributed locally linear embedding (DLLE), Gesture recognition and tracking, Gesture tracking, Hand recognition, Probabilistic neural network (PNN)

S. S. Ge; Y. Yang; T. H. Lee

2008-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "recognition particle-receptor complex" 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

A comparative study of thermal face recognition methods in unconstrained environments  

Science Conference Proceedings (OSTI)

The recognition of faces in unconstrained environments is a challenging problem. The aim of this work is to carry out a comparative study of face recognition methods working in the thermal spectrum (8-12@mm) that are suitable for working properly in ... Keywords: Face recognition, Thermal face recognition, Unconstrained environments

Gabriel Hermosilla; Javier Ruiz-del-Solar; Rodrigo Verschae; Mauricio Correa

2012-07-01T23:59:59.000Z

162

Complexity in Big History  

E-Print Network (OSTI)

Spier, Fred. How Big History Works: Energy Flows and RiseSmil, Vaclav. Energy in World History. Boulder, CO: Westviewkg) Energy and complexity Spier: Complexity in Big History.

Spier, Fred

2011-01-01T23:59:59.000Z

163

Kolmogorov Complexity, String Information, Panspermia and the Fermi Paradox  

E-Print Network (OSTI)

Bit strings rather than byte files can be a mode of transmission both for intelligent signals and for travels of extraterrestrial life. Kolmogorov complexity, i.e. the minimal length of a binary coded string completely defining a system, can then, due to its universality, become a key concept in the strategy of the search of extraterrestrials. Evaluating, for illustration, the Kolmogorov complexity of the human genome, one comes to an unexpected conclusion that a low complexity compressed string - analog of Noah's ark - will enable the recovery of the totality of terrestrial life. The recognition of bit strings of various complexity up to incompressible Martin-L\\"{o}f random sequences, will require a different strategy for the analysis of the cosmic signals. The Fermi paradox "Where is Everybody?" can be viewed under in the light of such information panspermia, i.e. a Universe full of traveling life streams.

V. G. Gurzadyan

2005-08-01T23:59:59.000Z

164

Two Savannah River Site Projects Gain National Recognition | Department of  

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

Two Savannah River Site Projects Gain National Recognition Two Savannah River Site Projects Gain National Recognition Two Savannah River Site Projects Gain National Recognition June 21, 2011 - 12:00pm Addthis Media Contacts Jim Giusti, DOE (803) 952-7697 james-r.giusti@srs.gov Will Callicott, SRNL (803) 725-3786 will.callicott@srs.gov AIKEN, SC - The Department of Energy's Savannah River Site has received Environmental Sustainability (EStar) awards from DOE for two projects growing out of technology research, development and application at the Savannah River National Laboratory. EStar awards recognize excellence in pollution prevention and sustainable environmental stewardship. They are awarded for projects and programs that reduce environmental impacts, enhance site operations, and reduce costs. One award, for Renewable Technology Development, Deployment and Education

165

National Lab Scientists Win Nobel Recognition | Department of Energy  

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

Lab Scientists Win Nobel Recognition Lab Scientists Win Nobel Recognition National Lab Scientists Win Nobel Recognition October 6, 2011 - 3:46pm Addthis Dr. Saul Perlmutter, who won the 2011 Nobel Prize in Physics, heads the Supernova Cosmology Project at Lawrence Berkeley National Laboratory. It was this team along with the High-z Supernova Search Team which found evidence of the accelerating expansion of the universe. Dr. Saul Perlmutter, who won the 2011 Nobel Prize in Physics, heads the Supernova Cosmology Project at Lawrence Berkeley National Laboratory. It was this team along with the High-z Supernova Search Team which found evidence of the accelerating expansion of the universe. Charles Rousseaux Charles Rousseaux Senior Writer, Office of Science Science is all about opening eyes and expanding horizons. This week,

166

Two Savannah River Site Projects Gain National Recognition | Department of  

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

Savannah River Site Projects Gain National Recognition Savannah River Site Projects Gain National Recognition Two Savannah River Site Projects Gain National Recognition June 21, 2011 - 12:00pm Addthis Media Contacts Jim Giusti, DOE (803) 952-7697 james-r.giusti@srs.gov Will Callicott, SRNL (803) 725-3786 will.callicott@srs.gov AIKEN, SC - The Department of Energy's Savannah River Site has received Environmental Sustainability (EStar) awards from DOE for two projects growing out of technology research, development and application at the Savannah River National Laboratory. EStar awards recognize excellence in pollution prevention and sustainable environmental stewardship. They are awarded for projects and programs that reduce environmental impacts, enhance site operations, and reduce costs. One award, for Renewable Technology Development, Deployment and Education

167

Los Alamos Lab: Los Alamos Molecular Recognition Alliance  

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

Los Alamos Molecular Recognition Alliance: LAMRA Los Alamos Molecular Recognition Alliance: LAMRA Home About Us Partner Divisions Bioscience Division Chemistry Division International and Applied Technology Materials Physics Applications Division Theoretical Division Researchers Customize Affinity Reagents to Recognize Diseases and Biothreat Agents Novel affinity reagents are essential in the chemical and biological detection that is at the heart of the Los Alamos National Laboratory's mission in threat reduction, as well as being at the interface between many fundamental and applied Los Alamos research programs. Affinity reagent technologies at LANL are among the most advanced worldwide, with a wide range of different technologies focused on molecular recognition and the generation of affinity reagents both developed and under development. These include different affinity reagents (antibodies, fluorescent proteins, peptides, peptoids, carbohydrates, and oligonucleotides), and different selection and screening systems.

168

Spatiotemporal Gabor filters: a new method for dynamic texture recognition  

E-Print Network (OSTI)

This paper presents a new method for dynamic texture recognition based on spatiotemporal Gabor filters. Dynamic textures have emerged as a new field of investigation that extends the concept of self-similarity of texture image to the spatiotemporal domain. To model a dynamic texture, we convolve the sequence of images to a bank of spatiotemporal Gabor filters. For each response, a feature vector is built by calculating the energy statistic. As far as the authors know, this paper is the first to report an effective method for dynamic texture recognition using spatiotemporal Gabor filters. We evaluate the proposed method on two challenging databases and the experimental results indicate that the proposed method is a robust approach for dynamic texture recognition.

Gonalves, Wesley Nunes; Bruno, Odemir Martinez

2012-01-01T23:59:59.000Z

169

Harvester ants utilize cuticular hydrocarbons in nestmate recognition  

E-Print Network (OSTI)

AbstractCuticular hydrocarbons appear to play a role in ant nestmate recognition, but few studies have tested this hypothesis experimentally with purified hydrocarbon extracts. We exposed captive colonies of the harvester ant Pogonomyrmex barbatus to small glass blocks coated with whole cuticular lipid extracts and the purified hydrocarbon portion of extracts from nestmate and nonnestmate workers. As an estimate of agonistic behavior, we measured the proportion of ants in contact with blocks that flared their mandibles. Blocks coated with cuticular extracts from nonnestmates were contacted by more workers in one of two experiments and elicited higher levels of aggression in both experiments than blocks bearing extracts from nestmates. The cuticular hydrocarbon fraction of extracts alone was sufficient to elicit agonistic behavior toward nonnestmates. The results demonstrate that harvester ants can perceive differences in cuticular hydrocarbon composition, and can use those differences in nestmate recognition. Key WordsCuticular hydrocarbons, Formicidae, Nestmate recognition, Pogonomyrmex barbatus.

Diane Wagner; Madeleine Tissot; William Cuevas; Deborah M. Gordon

2000-01-01T23:59:59.000Z

170

Automatic Speech Recognition using Pitch Information in Dynamic Bayesian Networks  

E-Print Network (OSTI)

The challenge of automatic speech recognition (ASR) increases when speaker variability is encountered. Being able to automatically use dierent acoustic models according to speaker type might help to increase the robustness of ASR. We present a system that attempts to do so by augmenting the standard acoustic observations with pitch information. This allows the system to use acoustic models more appropriate to speech with the given pitch. Furthermore, pitch information is more easily detected in noisy conditions; thus, it may be of use in robust speech recognition. Using dynamic Bayesian networks (DBNs) allows further renement of the system by eliminating unnecessary statistical dependencies and thus reducing the number of parameters. We show that when a system is trained on observed pitch data and performs recognition with missing pitch data, it can perform signicantly better than a system that uses acoustics information only.

Todd A. Stephenson; Mathew Magimai Doss; Herv Bourlard

2000-01-01T23:59:59.000Z

171

Structural Insights into Selective Histone H3 Recognition by the Human Polybromo bromodomain 2  

Science Conference Proceedings (OSTI)

The Polybromo (PB) protein functions as a key component of the human PBAF chromatin remodeling complex in regulation of gene transcription. PB is made up of modular domains including six bromodomains that are known as acetyl-lysine binding domains. However, histone-binding specificity of the bromodomains of PB has remained elusive. In this study, we report biochemical characterization of all six PB bromodomains' binding to a suite of lysine-acetylated peptides derived from known acetylation sites on human core histones. We demonstrate that bromodomain 2 of PB preferentially recognizes acetylated lysine 14 of histone H3 (H3K14ac), a post-translational mark known for gene transcriptional activation. We further describe the molecular basis of the selective H3K14ac recognition of bromodomain 2 by solving the protein structures in both the free and bound forms using X-ray crystallography and NMR, respectively.

Charlop-Powers, Z.; Zeng, L; Zhang, Q; Zhou, M

2010-01-01T23:59:59.000Z

172

Hue Histograms to Spatiotemporal Local Features for Action Recognition  

E-Print Network (OSTI)

Despite the recent developments in spatiotemporal local features for action recognition in video sequences, local color information has so far been ignored. However, color has been proved an important element to the success of automated recognition of objects and scenes. In this paper we extend the space-time interest point descriptor STIP to take into account the color information on the features' neighborhood. We compare the performance of our color-aware version of STIP (which we have called HueSTIP) with the original one.

Souza, Fillipe; Chvez, Guillermo; Arajo, Arnaldo

2011-01-01T23:59:59.000Z

173

Multi-tape finite-state transducer for asynchronous multi-stream pattern recognition with application to speech  

E-Print Network (OSTI)

In this thesis, we have focused on improving the acoustic modeling of speech recognition systems to increase the overall recognition performance. We formulate a novel multi-stream speech recognition framework using multi-tape ...

Shu, Han, Ph. D. Massachusetts Institute of Technology

2006-01-01T23:59:59.000Z

174

Speech recognition and manner of speaking in noise and in quiet  

Science Conference Proceedings (OSTI)

Currently speech recognition is accomplished by matching spoken utterances with reference patterns of words that were spoken by an individual at an earlier time. Recognition is highly dependent upon background noise. The purpose of this study was to ...

Ann M. Rollins

1985-04-01T23:59:59.000Z

175

Explicit integration of identity information from skin regions to improve face recognition  

Science Conference Proceedings (OSTI)

This paper investigates the possibility of exploiting facial skin texture regions to further improve the performance of face recognition systems. Information extracted from the forehead region is combined with scores produced by a kernel-based face recognition ...

Garsah Farhan Al-Qarni; Farzin Deravi

2012-06-01T23:59:59.000Z

176

Support vector machine for recognition of bio-products in gasoline  

Science Conference Proceedings (OSTI)

The paper presents the application of Support Vector Machine for recognition and classification of the bio-products in the gasoline. We consider the supplement of such bio-products, as ethanol, MTBE, ETBE and benzene. The recognition system contains ...

Kazimierz Brudzewski; Stanis?aw Osowski; Tomasz Markiewicz; Jan Ulaczyk

2005-09-01T23:59:59.000Z

177

Object recognition in ocean imagery using feature selection and compressive sensing  

Science Conference Proceedings (OSTI)

Ship recognition and classification in electro-optical satellite imagery is a challenging problem with important military applications. The problem is similar to that of face recognition, but with many unique considerations. A ship's appearance can vary ...

Katie Rainey; John Stastny

2011-10-01T23:59:59.000Z

178

An analysis of SIFT object recognition with an emphasis on landmark detection  

E-Print Network (OSTI)

In this thesis, I explore the realm of feature-based object. recognition applied to landmark detection. I have built a system using SIFT object recognition and Locality-Sensitive Hashing to quickly and accurately detect ...

Ross, Benjamin Charles

2004-01-01T23:59:59.000Z

179

Camera-Based signage detection and recognition for blind persons  

Science Conference Proceedings (OSTI)

Signage plays an important role for wayfinding and navigation to assist blind people accessing unfamiliar environments. In this paper, we present a novel camera-based approach to automatically detect and recognize restroom signage from surrounding environments. ... Keywords: blind people, navigation and wayfinding, signage detection and recognition

Shuihua Wang; Yingli Tian

2012-07-01T23:59:59.000Z

180

Leveraging face recognition technology to find and organize photos  

Science Conference Proceedings (OSTI)

With digital still cameras, users can easily collect thousands of photos. We have created a photo management application with the goal of making photo organization and browsing simple and quick, even for very large collections. A particular concern is ... Keywords: digital photo collections, face detection and recognition, home users, user interface design

Andreas Girgensohn; John Adcock; Lynn Wilcox

2004-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "recognition particle-receptor complex" 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

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

182

Recognition of Pornographic Web Pages by Classifying Texts and Images  

Science Conference Proceedings (OSTI)

With the rapid development of the World Wide Web, people benefit more and more from the sharing of information. However, Web pages with obscene, harmful, or illegal content can be easily accessed. It is important to recognize such unsuitable, offensive, ... Keywords: Web pages, pornographic texts, pornographic images, data fusion, recognition.

Weiming Hu; Ou Wu; Zhouyao Chen; Zhouyu Fu; Steve Maybank

2007-06-01T23:59:59.000Z

183

Feature Seeding for Action Recognition Pyry Matikainen Rahul Sukthankar  

E-Print Network (OSTI)

points (STIP) [15]. Note that we are not proposing a complete system for action recognition; we consider descriptors per frame of video, while STIP-HOF produces closer to 100 descriptors per frame. These descriptors (STIP-HOF). This method finds sparse interest points in space and time, and computes HOF descriptors

Guestrin, Carlos

184

Two stage emotion recognition based on speaking rate  

Science Conference Proceedings (OSTI)

This paper proposes two stage speech emotion recognition approach using speaking rate. The emotions considered in this study are anger, disgust, fear, happy, neutral, sadness, sarcastic and surprise. At the first stage, based on speaking rate, eight ... Keywords: Active emotions, Emotion categorization, Fast speech, Formant features, Gaussian mixture models, Normal emotions, Normal speech, Passive emotions, Prosodic features, Slow speech, Speaking rate

Shashidhar G. Koolagudi; Rao Sreenivasa Krothapalli

2011-03-01T23:59:59.000Z

185

Modeling Consistency in a Speaker Independent Continuous Speech Recognition System  

E-Print Network (OSTI)

{M=0,F=1} 9 x (12 mel cepstral + log energy + first derivatives) = 234 Figure 1: A Gender Dependent, such as gender, in an otherwise speaker­independent speech recognition system. In this paper we discuss a Gender Dependent Neural Network (GDNN) which can be tuned for each gender, while sharing most of the speaker

Abrash, Victor

186

Comparison of shape descriptors for mice behavior recognition  

Science Conference Proceedings (OSTI)

Shape representation provides fundamental features formany applications in computer vision and it is known to be important cues for human vision. This paper presents an experimental study on recognition of mice behavior. We investigate the performance ... Keywords: computer vision, mice behavior, shape descriptors

Jonathan De Andrade Silva; Wesley Nunes Gonalves; Bruno Brandoli Machado; Hemerson Pistori; Albert Schiaveto De Souza; Kleber Padovani De Souza

2010-11-01T23:59:59.000Z

187

Automatic recognition and evaluation of natural language commands  

Science Conference Proceedings (OSTI)

New applications of artificial neural networks are capable of recognition and verification of effects and safety of commands given by the operator of the technological device. In this paper there is a review of the selected issues on estimation of results ...

Maciej Majewski; Wojciech Kacalak

2006-05-01T23:59:59.000Z

188

Design of an artificial functional nanomaterial with high recognition ability  

Science Conference Proceedings (OSTI)

An artificial macromolecule was designed as a novel nanomaterial with the backbone of phosphodiester and the side chain of functional molecules and nucleobases. The functional molecules tethered on d-threoninol and the nucleosides on d-ribose can be ... Keywords: Hybridization, Nanomaterial, Nucleobase, Photoregulation, Recognition ability

Xingguo Liang; Toshio Mochizuki; Taiga Fujii; Hiromu Kashida; Hiroyuki Asanuma

2012-06-01T23:59:59.000Z

189

Identifying important action primitives for high level activity recognition  

Science Conference Proceedings (OSTI)

Smart homes have a user centered design that makes human activity as the most important type of context to adapt the environment according to people's needs. Sensor systems that include a variety of ambient, vision based, and wearable sensors are used ... Keywords: action primitives, activity recognition, smart homes

Atif Manzoor; Claudia Villalonga; Alberto Calatroni; Hong-Linh Truong; Daniel Roggen; Schahram Dustdar; Gerhard Trster

2010-11-01T23:59:59.000Z

190

Modelling affect expression and recognition in an interactive learning environment  

Science Conference Proceedings (OSTI)

Affective reasoning holds significant potential for intelligent tutoring systems. Incorporating affective reasoning into pedagogical decision-making capabilities could enable learning environments to create customised experiences that are dynamically ... Keywords: HCI, ITS, affect expression, affect recognition, affective student modelling, empathy, human-computer interaction, inductive learning, intelligent tutoring systems, interactive learning, physiological response, self-efficacy, situational context, student affect

Scott W. McQuiggan; James C. Lester

2009-10-01T23:59:59.000Z

191

Specific Recognition of Linear Ubiquitin Chains by NEMO  

E-Print Network (OSTI)

Specific Recognition of Linear Ubiquitin Chains by NEMO Is Important for NF-kB Activation Simin.03.007 SUMMARY Activation of nuclear factor-kB (NF-kB), a key medi- ator of inducible transcription in immunity, requires binding of NF-kB essential modulator (NEMO) to ubiquitinated substrates. Here, we report

Komander, David

192

Creating digital life stories through activity recognition with image filtering  

Science Conference Proceedings (OSTI)

This paper presents two algorithms that enables the MemoryLane system to support persons with mild dementia through creation of digital life stories. The MemoryLane system consists of a Logging Kit that captures context and image data, and a Review Client ... Keywords: activity recognition, image filtering, life logging, life story, memory assistance

Basel Kikhia; Johan E. Bengtsson; Kre Synnes; Zaheer ul Hussain Sani; Josef Hallberg

2010-06-01T23:59:59.000Z

193

Discriminative compact pyramids for object and scene recognition  

Science Conference Proceedings (OSTI)

Spatial pyramids have been successfully applied to incorporating spatial information into bag-of-words based image representation. However, a major drawback is that it leads to high dimensional image representations. In this paper, we present a novel ... Keywords: AIB, Bag of features, DITC, Object and scene recognition, Pyramid representation

Noha M. Elfiky; Fahad Shahbaz Khan; Joost Van De Weijer; Jordi GonzLez

2012-04-01T23:59:59.000Z

194

Keypoint identification and feature-based 3D face recognition  

Science Conference Proceedings (OSTI)

We present a feature-based 3D face recognition algorithm and propose a keypoint identification technique which is repeatable and identifies keypoints where shape variation is high in 3D faces. Moreover, a unique 3D coordinate basis can be defined locally ...

Ajmal Mian; Mohammed Bennamoun; Robyn Owens

2007-08-01T23:59:59.000Z

195

Survey on speech emotion recognition: Features, classification schemes, and databases  

Science Conference Proceedings (OSTI)

Recently, increasing attention has been directed to the study of the emotional content of speech signals, and hence, many systems have been proposed to identify the emotional content of a spoken utterance. This paper is a survey of speech emotion classification ... Keywords: Archetypal emotions, Dimensionality reduction techniques, Emotional speech databases, Speech emotion recognition, Statistical classifiers

Moataz El Ayadi; Mohamed S. Kamel; Fakhri Karray

2011-03-01T23:59:59.000Z

196

An other-race effect for face recognition algorithms  

Science Conference Proceedings (OSTI)

Psychological research indicates that humans recognize faces of their own race more accurately than faces of other races. This other-race effect occurs for algorithms tested in a recent international competition for state-of-the-art face ... Keywords: Face recognition, human--machine comparisons

P. Jonathon Phillips; Fang Jiang; Abhijit Narvekar; Julianne Ayyad; Alice J. O'Toole

2011-01-01T23:59:59.000Z

197

Optical music recognition for scores written in white mensural notation  

Science Conference Proceedings (OSTI)

An Optical Music Recognition (OMR) system especially adapted for handwritten musical scores of the XVII-th and the early XVIII-th centuries written in white mensural notation is presented. The system performs a complete sequence of analysis stages: the ...

Lorenzo J. Tardn; Simone Sammartino; Isabel Barbancho; Vernica Gmez; Antonio Oliver

2009-02-01T23:59:59.000Z

198

Application on lithology recognition with BP artificial neural network  

Science Conference Proceedings (OSTI)

An Artificial Neural Network (ANN) model is established to recognize the drilled formations' lithologies while drilling. The styles of output and input of ANN are designed. The nerve cells in input layer are weight of bit (WOB), speed of rotary (SOR) ... Keywords: artificial neural network, drilling, formation lithology, recognition

Jinhui Zhou; Jienian Yan; Li Pan

2009-11-01T23:59:59.000Z

199

Robust Light Objects Recognition Based on Computer Vision  

Science Conference Proceedings (OSTI)

This paper proposes a recognition method for light objects in a video for real-time application and the movement of the surrounding objects. The method extracts the objects by considering known geometric arrangements and blinking frequency, while the ... Keywords: visible light communication system, light emitting diode, intelligent transport systems

Yi-Yuan Chen; Kuen-Ming Lan; Hung-I Pai; Jen-Hui Chuang; Chii-Yah Yuan

2009-12-01T23:59:59.000Z

200

A real-time, multimodal, and dimensional affect recognition system  

Science Conference Proceedings (OSTI)

This study focuses on the development of a real-time automatic affect recognition system. It adapts a multimodal approach, where affect information taken from two modalities are combined to arrive at an emotion label that is represented in a valence-arousal ... Keywords: dimensional labels, emotion models, multimodal, regression

Nicole Nielsen Lee; Jocelynn Cu; Merlin Teodosia Suarez

2012-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "recognition particle-receptor complex" 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

Underwater Color Constancy : Enhancement of Automatic Live Fish Recognition  

E-Print Network (OSTI)

Underwater Color Constancy : Enhancement of Automatic Live Fish Recognition M. Chambah, D. Semani-mail: rizzi@dti.unimi.it ABSTRACT We present in this paper some advances in color restoration of underwater images, especially with regard to the strong and non uniform color cast which is typical of underwater

Paris-Sud XI, Université de

202

Nano Research Kinetics of Molecular Recognition Mediated Nanoparticle  

E-Print Network (OSTI)

Nano Research Kinetics of Molecular Recognition Mediated Nanoparticle Self-Assembly Chinmay Soman1 the streptavidin-biotin interaction [9] 0078 Nano Res (2009) 2: 78 84 DOI 10.1007/s12274-009-9005-z Research Article #12;79Nano Res (2009) 2: 78 84 are incubated with specific antigens in a physiological buffer

203

Named entity recognition in a South African context  

Science Conference Proceedings (OSTI)

The feasibility of a probabilistic Named Entity Recognition system in a South African context was tested. The intended use of the system is in a cyber forensic domain. At the core of the system is a dynamic Bayesian Network, which takes into account ... Keywords: cyber forensics, dynamic Bayesian networks, gazetteers, information extraction, named entity

Anita Louis; Alta De Waal; Cobus Venter

2006-10-01T23:59:59.000Z

204

Complexity of Counting CSP with Complex Weights  

E-Print Network (OSTI)

We give a complexity dichotomy theorem for the counting Constraint Satisfaction Problem (#CSP in short) with complex weights. To this end, we give three conditions for its tractability. Let F be any finite set of complex-valued functions, then we prove that #CSP(F) is solvable in polynomial time if all three conditions are satisfied; and is #P-hard otherwise. Our complexity dichotomy generalizes a long series of important results on counting problems: (a) the problem of counting graph homomorphisms is the special case when there is a single symmetric binary function in F; (b) the problem of counting directed graph homomorphisms is the special case when there is a single not-necessarily-symmetric binary function in F; and (c) the standard form of #CSP is when all functions in F take values in {0,1}.

Cai, Jin-Yi

2011-01-01T23:59:59.000Z

205

A survey of video datasets for human action and activity recognition  

Science Conference Proceedings (OSTI)

Vision-based human action and activity recognition has an increasing importance among the computer vision community with applications to visual surveillance, video retrieval and human-computer interaction. In recent years, more and more datasets dedicated ... Keywords: Database, Dataset, Human action recognition, Human activity recognition, Review, Survey

Jose M. Chaquet; Enrique J. Carmona; Antonio FernNdez-Caballero

2013-06-01T23:59:59.000Z

206

Bayesian filter based behavior recognition in workflows allowing for user feedback  

Science Conference Proceedings (OSTI)

In this paper, we propose a novel online framework for behavior understanding, in visual workflows, capable of achieving high recognition rates in real-time. To effect online recognition, we propose a methodology that employs a Bayesian filter supported ... Keywords: Bayesian filter, Behavior recognition, Hidden Markov models, User feedback, Workflow

Dimitrios I. Kosmopoulos; Nikolaos D. Doulamis; Athanasios S. Voulodimos

2012-03-01T23:59:59.000Z

207

Human face recognition using volume feature, fuzzy c-means and membership matching score  

Science Conference Proceedings (OSTI)

This study tends to propose the process of nose tip volume which is applied in face image recognition. Range image face database (RIFD) used in this face recognition is based on 3-D graphics database. For this advantage, we could solve scale, center ... Keywords: face recognition, fuzzy c-means and membership matching score, volume feature

Supawee Makdee; Chom Kimpan; Seri Pansang

2006-11-01T23:59:59.000Z

208

DWT and Sub-pattern PCA for Face Recognition Based on Fuzzy Data Fusion  

Science Conference Proceedings (OSTI)

In realistic situation, the outlier could affect the face recognition rate severely. To overcome this problem, we propose a novel face recognition system to improve the recognition rate. The system can be divided into three aspects. Firstly, the 2D discrete ...

Yang-Ting Chou; Shih-Ming Huang; Szu-Hua Wu; Jar-Ferr Yang

2011-12-01T23:59:59.000Z

209

An automatic speech recognition system based on the scene analysis account of auditory perception  

Science Conference Proceedings (OSTI)

Despite many years of concentrated research, the performance gap between automatic speech recognition (ASR) and human speech recognition (HSR) remains large. The difference between ASR and HSR is particularly evident when considering the response to ... Keywords: Multiple pitch tracker, Perceptually motivated ASR, Robust speech recognition, Source segmentation, Speech fragment decoder

Andr Coy; Jon Barker

2007-05-01T23:59:59.000Z

210

Complex Systems Program Homepage  

Science Conference Proceedings (OSTI)

... Systems Program seeks to understand the fundamental science of these ... Complex Systems Fundamentals Roldan Pozo; Measurement Science for ...

2011-12-28T23:59:59.000Z

211

Complexity: A Guided Tour  

Science Conference Proceedings (OSTI)

Complexity: A Guided Tour. Purpose: As science probes the nature of life, society, and technology ever more closely, what ...

2012-04-02T23:59:59.000Z

212

Deterministic Complexity and Entropy  

Science Conference Proceedings (OSTI)

Lempel and Ziv (1976) proposed a computable string production-complexity. In this paper, our emphasis is on providing the rigorous development, where possible, for the theoretical aspects of a more recent and contrasting measure of string complexity. ... Keywords: Formal languages, T-codes, complexity measures, entropy, generative systems, information, prefix codes

Mark R. Titchener; Radu Nicolescu; Ludwig Staiger; Aaron Gulliver; Ulrich Speidel

2004-07-01T23:59:59.000Z

213

Reformulated Gasoline Complex Model  

Gasoline and Diesel Fuel Update (EIA)

Refiners Switch to Reformulated Refiners Switch to Reformulated Gasoline Complex Model Contents * Summary * Introduction o Table 1. Comparison of Simple Model and Complex Model RFG Per Gallon Requirements * Statutory, Individual Refinery, and Compliance Baselines o Table 2. Statutory Baseline Fuel Compositions * Simple Model * Complex Model o Table 3. Complex Model Variables * Endnotes Related EIA Short-Term Forecast Analysis Products * RFG Simple and Complex Model Spreadsheets * Areas Particpating in the Reformulated Gasoline Program * Environmental Regulations and Changes in Petroleum Refining Operations * Oxygenate Supply/Demand Balances in the Short-Term Integrated Forecasting Model * Reformulated Gasoline Foreign Refinery Rules * Demand, Supply, and Price Outlook for Reformulated Motor Gasoline, 1995 , (Adobe

214

Finite Neutrosophic Complex Numbers  

E-Print Network (OSTI)

In this book for the first time the authors introduce the notion of real neutrosophic complex numbers. Further the new notion of finite complex modulo integers is defined. For every $C(Z_n)$ the complex modulo integer $i_F$ is such that $2F_i = n - 1$. Several algebraic structures on $C(Z_n)$ are introduced and studied. Further the notion of complex neutrosophic modulo integers is introduced. Vector spaces and linear algebras are constructed using these neutrosophic complex modulo integers.

W. B. Vasantha Kandasamy; Florentin Smarandache

2011-11-01T23:59:59.000Z

215

Remarks on complex bundles of complex structures  

E-Print Network (OSTI)

We consider some classical fibre bundles furnished with almost complex structures of twistor type, deduce their integrability in some cases and study self-holomorphic sections of a symplectic twistor space, trying to approach the moduli space of $\\omega$-compatible complex structures. We recall the theory of flag manifolds in order to study the Siegel domain and other domains alike, which is the fibre of the referred twistor space. Finally the coordinates for the twistor of a Riemann surface with the canonical symplectic and metric connection are deduced, this time based on a given conformal coordinate on the surface.

Albuquerque, Rui

2007-01-01T23:59:59.000Z

216

New Mexico Environment Department Presents WIPP Its Highest Recognition for  

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

Mexico Environment Department Presents WIPP Its Highest Mexico Environment Department Presents WIPP Its Highest Recognition for Environmental Excellence New Mexico Environment Department Presents WIPP Its Highest Recognition for Environmental Excellence April 30, 2013 - 12:00pm Addthis Media Contact Deb Gill, (575) 234-7270 U.S. DOE Carlsbad Field Office www.wipp.energy.gov CARLSBAD, N.M., April 30, 2013 - The U.S. Department of Energy's (DOE) Waste Isolation Pilot Plant (WIPP) was recognized by the New Mexico Environment Department (NMED) with Green Zia Environmental Leadership Program (GZELP) Gold Level membership for excellence. The GZELP annually recognizes organizations and businesses for their demonstration of environmental leadership in support of pollution prevention and sustainability. The Gold Level is the highest GZELP

217

International Recognition for OSTI-Based Information Systems | OSTI, US  

Office of Scientific and Technical Information (OSTI)

International Recognition for OSTI-Based Information Systems International Recognition for OSTI-Based Information Systems September 20, 2005 Oak Ridge, TN - The U.S. Department of Energy Office of Scientific and Technical Information (OSTI) and the Energy Technology Data Exchange (ETDE) were recently cited in a European Commission study as key information systems that could serve as models in the development of a European Union-focused energy portal. ETDE is a multilateral information exchange agreement to which OSTI serves as the Operating Agent. The May 2005 report, "Energy RTD Information Systems in the ERA (European Research Area)," found that, "Today's situation regarding EU energy RTD (research and technological development) information systems is no longer satisfactory. To meet future challenges, a clear structure and

218

CARS Control Anomaly Recognition System: System Concept, Requirements, and Specifications  

Science Conference Proceedings (OSTI)

This report presents results of an initial study aimed at defining the system concept, principal requirements, and functional specification for a control anomaly recognition system (CARS) software tool. The purpose of the CARS software system is to assist nuclear power plant operators in the early detection of faults and anomalies in plant control systems before they cause reactor scrams or component damage. The diagnostic capability technology of CARS can support other process industries' applications b...

2002-04-12T23:59:59.000Z

219

Quantum Computational Complexity  

E-Print Network (OSTI)

This article surveys quantum computational complexity, with a focus on three fundamental notions: polynomial-time quantum computations, the efficient verification of quantum proofs, and quantum interactive proof systems. Properties of quantum complexity classes based on these notions, such as BQP, QMA, and QIP, are presented. Other topics in quantum complexity, including quantum advice, space-bounded quantum computation, and bounded-depth quantum circuits, are also discussed.

John Watrous

2008-04-21T23:59:59.000Z

220

A new concept of vertically integrated pattern recognition associative memory  

SciTech Connect

Hardware-based pattern recognition for fast triggering on particle tracks has been successfully used in high-energy physics experiments for some time. The CDF Silicon Vertex Trigger (SVT) at the Fermilab Tevatron is an excellent example. The method used there, developed in the 1990's, is based on algorithms that use a massively parallel associative memory architecture to identify patterns efficiently at high speed. However, due to much higher occupancy and event rates at the LHC, and the fact that the LHC detectors have a much larger number of channels in their tracking detectors, there is an enormous challenge in implementing fast pattern recognition for a track trigger, requiring about three orders of magnitude more associative memory patterns than what was used in the original CDF SVT. Scaling of current technologies is unlikely to satisfy the scientific needs of the future, and investments in transformational new technologies need to be made. In this paper, we will discuss a new concept of using the emerging 3D vertical integration technology to significantly advance the state-of-the-art for fast pattern recognition within and outside HEP. A generic R and D proposal based on this new concept, with a few institutions involved, has recently been submitted to DOE with the goal to design and perform the ASIC engineering necessary to realize a prototype device. The progress of this R and D project will be reported in the future. Here we will only focus on the concept of this new approach.

Liu, Ted; Hoff, Jim; Deptuch, Grzegorz; Yarema, Ray; /Fermilab

2011-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "recognition particle-receptor complex" 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
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221

Complexity in Biology  

E-Print Network (OSTI)

We will review some of the theoretical progresses that have been in the study of complex systems in physics and of their applications to biology.

Giorgio Parisi

1994-12-05T23:59:59.000Z

222

Physics of Complex Plasmas.  

E-Print Network (OSTI)

??Physics of complex plasmas is a wide and varied field. In the context of this PhD thesis I present the major results from my research (more)

Stterlin, Robert

2010-01-01T23:59:59.000Z

223

Neural Fault Diagnosis and Fuzzy Fault Control for a Complex Dynamic System  

E-Print Network (OSTI)

Fault diagnosis has become an issue of primary importance in modern process automation as it provides the prerequisites for the task of fault detection. The ability to detect the faults is essential to improve reliability and security of a complex control system. Parameter estimation methods, state observation schemes, statistical likelihood ratio tests, rule-based expert system reasoning, pattern recognition techniques, and artificial neural network approaches are the most common methodologies developed actively during recent years. In this paper, we describe a completed feasibility study demonstrating the merit of employing pattern recognition and an artificial neural network for fault diagnosis through back propagation learning algorithm and making the use of fuzzy approximate reasoning for fault control via parameter changes in a dynamic system. As a test case, a complex magnetic levitation vehicle (MLV) system is studied. Analytical fault symptoms are obtained by system dynamics m...

Ching-yu Tyan; Paul P. Wang; Dennis R. Bahler

1995-01-01T23:59:59.000Z

224

ENERGY STAR portfolio-wide recognition | ENERGY STAR Buildings & Plants  

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

ENERGY STAR portfolio-wide recognition ENERGY STAR portfolio-wide recognition Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In this section How can we help you? Build an energy program Improve building and plant performance Earn the ENERGY STAR and other recognition Earn recognition for your building or plant Earn recognition for your commercial construction project ENERGY STAR portfolio-wide recognition

225

Gender Based Emotion Recognition System for Telugu Rural Dialects Using Hidden Markov Models  

E-Print Network (OSTI)

Automatic emotion recognition in speech is a research area with a wide range of applications in human interactions. The basic mathematical tool used for emotion recognition is Pattern recognition which involves three operations, namely, pre-processing, feature extraction and classification. This paper introduces a procedure for emotion recognition using Hidden Markov Models (HMM), which is used to divide five emotional states: anger, surprise, happiness, sadness and neutral state. The approach is based on standard speech recognition technology using hidden continuous markov model by selection of low level features and the design of the recognition system. Emotional Speech Database from Telugu Rural Dialects of Andhra Pradesh (TRDAP) was designed using several speaker's voices comprising the emotional states. The accuracy of recognizing five different emotions for both genders of classification is 80% for anger-emotion which is achieved by using the best combination of 39-dimensioanl feature vector for every f...

D, Prasad Reddy P V G; Srinivas, Y; Brahmaiah, P

2010-01-01T23:59:59.000Z

226

Fusion of visual and thermal signatures with eyeglass removal for robust face recognition  

E-Print Network (OSTI)

Abstract This paper describes a fusion of visual and thermal infrared (IR) images for robust face recognition. Two types of fusion methods are discussed: data fusion and decision fusion. Data fusion produces an illumination-invariant face image by adaptively integrating registered visual and thermal face images. Decision fusion combines matching scores of individual face recognition modules. In the data fusion process, eyeglasses, which block thermal energy, are detected from thermal images and replaced with an eye template. Three fusion-based face recognition techniques are implemented and tested: Data fusion of visual and thermal images (Df), Decision fusion with highest matching score (Fh), and Decision fusion with average matching score (Fa). A commercial face recognition software FaceIt is used as an individual recognition module. Comparison results show that fusion-based face recognition techniques outperformed individual visual and thermal face recognizers under illumination variations and facial expressions. I.

Jingu Heo; Seong G. Kong; Besma R. Abidi; Mongi A. Abidi

2004-01-01T23:59:59.000Z

227

Electrochemical Behavior of Disposable Electrodes Prepared by Ion Beam Based Surface Modification for Biomolecular Recognition  

SciTech Connect

Many important technological advances have been made in the development of technologies to monitor interactions and recognition events of biomolecules in solution and on solid substrates. The development of advanced biosensors could impact significantly the areas of genomics, proteomics, biomedical diagnostics and drug discovery. In the literature, there have recently appeared an impressive number of intensive designs for electrochemical monitoring of biomolecular recognition. Herein, the influence of ion implanted disposable graphite electrodes on biomolecular recognition and their electrochemical behaviour was investigated.

Erdem, A.; Karadeniz, H.; Caliskan, A. [Analytical Chemistry Department, Ege University, Faculty of Pharmacy, Bornova, Izmir 35100 (Turkey); Urkac, E. Sokullu; Oztarhan, A. [Bioengineering Department, Ege University, Bornova, Izmir 35100 (Turkey); Oks, E.; Nikolayev, A. [High Current Electronics, Institute, Tomsk (Russian Federation)

2009-03-10T23:59:59.000Z

228

Proposal for the development of 3D Vertically Integrated Pattern Recognition Associative Memory (VIPRAM)  

SciTech Connect

Future particle physics experiments looking for rare processes will have no choice but to address the demanding challenges of fast pattern recognition in triggering as detector hit density becomes significantly higher due to the high luminosity required to produce the rare process. The authors propose to develop a 3D Vertically Integrated Pattern Recognition Associative Memory (VIPRAM) chip for HEP applications, to advance the state-of-the-art for pattern recognition and track reconstruction for fast triggering.

Deptuch, Gregory; Hoff, Jim; Kwan, Simon; Lipton, Ron; Liu, Ted; Ramberg, Erik; Todri, Aida; Yarema, Ray; /Fermilab; Demarteua, Marcel,; Drake, Gary; Weerts, Harry; /Argonne /Chicago U. /Padua U. /INFN, Padua

2010-10-01T23:59:59.000Z

229

An Efficient Vein Pattern-based Recognition System  

E-Print Network (OSTI)

This paper presents an efficient human recognition system based on vein pattern from the palma dorsa. A new absorption based technique has been proposed to collect good quality images with the help of a low cost camera and light source. The system automatically detects the region of interest from the image and does the necessary preprocessing to extract features. A Euclidean Distance based matching technique has been used for making the decision. It has been tested on a data set of 1750 image samples collected from 341 individuals. The accuracy of the verification system is found to be 99.26% with false rejection rate (FRR) of 0.03%.

Soni, Mohit; Rao, M S; Gupta, Phalguni

2010-01-01T23:59:59.000Z

230

Repairing structurally complex data  

Science Conference Proceedings (OSTI)

We present a novel algorithm for repairing structurally complex data. Given an assertion that represents desired structural integrity constraints and a structure that violates them, the algorithm performs repair actions that mutate the given structure ...

Sarfraz Khurshid; Ivn Garca; Yuk Lai Suen

2005-08-01T23:59:59.000Z

231

Computational complexity since 1980  

Science Conference Proceedings (OSTI)

The field of computational complexity is reaching what could be termed middle age, with over forty years having passed since the first papers defining the discipline. With this metaphor in mind, the early nineteeneighties represented the end of adolescence ...

Russell Impagliazzo

2005-12-01T23:59:59.000Z

232

Complex System Classification  

E-Print Network (OSTI)

The use of terms such as Engineering Systems, System of systems and others have been coming into greater use over the past decade to denote systems of importance but with implied higher complexity than for the term ...

Magee, Christopher

2004-07-24T23:59:59.000Z

233

Step 3: Apply for Designed to Earn the ENERGY STAR recognition...  

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

lifecycle Step 3: Apply for Designed to Earn the ENERGY STAR recognition Relax Your architect or engineer will complete this step. However, you should familiarize yourself with...

234

Structure of the central RNA recognition motif of human TIA-1 at 1.95 A resolution  

Science Conference Proceedings (OSTI)

T-cell-restricted intracellular antigen-1 (TIA-1) regulates alternative pre-mRNA splicing in the nucleus, and mRNA translation in the cytoplasm, by recognizing uridine-rich sequences of RNAs. As a step towards understanding RNA recognition by this regulatory factor, the X-ray structure of the central RNA recognition motif (RRM2) of human TIA-1 is presented at 1.95 A resolution. Comparison with structurally homologous RRM-RNA complexes identifies residues at the RNA interfaces that are conserved in TIA-1-RRM2. The versatile capability of RNP motifs to interact with either proteins or RNA is reinforced by symmetry-related protein-protein interactions mediated by the RNP motifs of TIA-1-RRM2. Importantly, the TIA-1-RRM2 structure reveals the locations of mutations responsible for inhibiting nuclear import. In contrast with previous assumptions, the mutated residues are buried within the hydrophobic interior of the domain, where they would be likely to destabilize the RRM fold rather than directly inhibit RNA binding.

Kumar, Amit O. [Department of Biochemistry and Biophysics, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642 (United States); Swenson, Matthew C. [Department of Biochemistry and Molecular Biology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205 (United States); Benning, Matthew M. [Bruker AXS Inc., 5465 East Cheryl Parkway, Madison, WI 53711 (United States); Kielkopf, Clara L. [Department of Biochemistry and Biophysics, University of Rochester School of Medicine and Dentistry, Rochester, NY 14642 (United States)], E-mail: clara_kielkopf@urmc.rochester.edu

2008-03-21T23:59:59.000Z

235

PHD Finger Recognition of Unmodified Histone H3R2 Links UHRF1 to Regulation of Euchromatic Gene Expression  

Science Conference Proceedings (OSTI)

Histone methylation occurs on both lysine and arginine residues, and its dynamic regulation plays a critical role in chromatin biology. Here we identify the UHRF1 PHD finger (PHD{sub UHRF1}), an important regulator of DNA CpG methylation, as a histone H3 unmodified arginine 2 (H3R2) recognition modality. This conclusion is based on binding studies and cocrystal structures of PHD{sub UHRF1} bound to histone H3 peptides, where the guanidinium group of unmodified R2 forms an extensive intermolecular hydrogen bond network, with methylation of H3R2, but not H3K4 or H3K9, disrupting complex formation. We have identified direct target genes of UHRF1 from microarray and ChIP studies. Importantly, we show that UHRF1's ability to repress its direct target gene expression is dependent on PHD{sub UHRF1} binding to unmodified H3R2, thereby demonstrating the functional importance of this recognition event and supporting the potential for crosstalk between histone arginine methylation and UHRF1 function.

Rajakumara, Eerappa; Wang, Zhentian; Ma, Honghui; Hu, Lulu; Chen, Hao; Lin, Yan; Guo, Rui; Wu, Feizhen; Li, Haitao; Lan, Fei; Shi, Yujiang Geno; Xu, Yanhui; Patel, Dinshaw J.; Shi, Yang (MSKCC); (Constellation); (Fudan); (Tsinghua)

2011-08-29T23:59:59.000Z

236

PHD Finger Recognition of Unmodified Histone H3R2 Links UHRF1 to Regulation of Euchromatic Gene Expression  

Science Conference Proceedings (OSTI)

Histone methylation occurs on both lysine and arginine residues, and its dynamic regulation plays a critical role in chromatin biology. Here we identify the UHRF1 PHD finger (PHD{sub UHRF1}), an important regulator of DNA CpG methylation, as a histone H3 unmodified arginine 2 (H3R2) recognition modality. This conclusion is based on binding studies and cocrystal structures of PHD{sub UHRF1} bound to histone H3 peptides, where the guanidinium group of unmodified R2 forms an extensive intermolecular hydrogen bond network, with methylation of H3R2, but not H3K4 or H3K9, disrupting complex formation. We have identified direct target genes of UHRF1 from microarray and ChIP studies. Importantly, we show that UHRF1's ability to repress its direct target gene expression is dependent on PHD{sub UHRF1} binding to unmodified H3R2, thereby demonstrating the functional importance of this recognition event and supporting the potential for crosstalk between histone arginine methylation and UHRF1 function.

E Rajakumara; Z Wang; H Ma; L Hu; H Chen; Y Lin; R Guo; F Wu; H Li; et al.

2011-12-31T23:59:59.000Z

237

Managing Complexity: Disease Control as a Complex Adaptive System  

Science Conference Proceedings (OSTI)

Trends in computer and communications technologies are enabling increased globalization and integration of enterprises, and corresponding increases of enterprise complexity.ᅠᅠThis article addresses management of this complexity using a complex adaptive ... Keywords: complex adaptive systems, disease control, strategic management, complexity, system models

William B. Rouse

2000-04-01T23:59:59.000Z

238

A Novel Feature Extraction for Robust EMG Pattern Recognition  

E-Print Network (OSTI)

Varieties of noises are major problem in recognition of Electromyography (EMG) signal. Hence, methods to remove noise become most significant in EMG signal analysis. White Gaussian noise (WGN) is used to represent interference in this paper. Generally, WGN is difficult to be removed using typical filtering and solutions to remove WGN are limited. In addition, noise removal is an important step before performing feature extraction, which is used in EMG-based recognition. This research is aimed to present a novel feature that tolerate with WGN. As a result, noise removal algorithm is not needed. Two novel mean and median frequencies (MMNF and MMDF) are presented for robust feature extraction. Sixteen existing features and two novelties are evaluated in a noisy environment. WGN with various signal-to-noise ratios (SNRs), i.e. 20-0 dB, was added to the original EMG signal. The results showed that MMNF performed very well especially in weak EMG signal compared with others. The error of MMNF in weak EMG signal with...

Phinyomark, Angkoon; Phukpattaranont, Pornchai

2009-01-01T23:59:59.000Z

239

Robust recognition of physical team behaviors using spatio-temporal models  

E-Print Network (OSTI)

This paper presents a framework for robustly recognizing physical team behaviors by exploiting spatio-temporal patterns. Agent team behaviors in athletic and military domains typically exhibit an observable structure characterized by the relative positions of teammates and external landmarks, such as a team of soldiers ambushing an opponent or a soccer player moving to receive a pass. We demonstrate how complex team relationships that are not easily expressed by region-based heuristics can be modeled from data and domain knowledge in a way that is robust to noise and spatial variation. To represent team behaviors in our domain of MOUT (Military Operations in Urban Terrain) planning, we employ two classes of spatial models: 1) team templates that encode static relationships between team members and external landmarks; and 2) spatially-invariant Hidden Markov Models (HMMs) to represent evolving agent team configurations over time. These two classes of models can be combined to improve recognition accuracy, particularly for behaviors that appear similar in static snapshots. We evaluate our modeling techniques on large urban maps and position traces of two-person human teams performing MOUT behaviors in a customized version of Unreal Tournament (a commercially available first-person shooter game).

Gita Sukthankar; Katia Sycara

2006-01-01T23:59:59.000Z

240

ORISE receives continued recognition at the Star level in DOE...  

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

management because of the type and complexity of DOE facilities. Similar to Occupational Safety and Health Administration's program, DOE-VPP provides several proven...

Note: This page contains sample records for the topic "recognition particle-receptor complex" 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

Structural recognition and functional activation of Fc[gamma]R by innate pentraxins  

SciTech Connect

Pentraxins are a family of ancient innate immune mediators conserved throughout evolution. The classical pentraxins include serum amyloid P component (SAP) and C-reactive protein, which are two of the acute-phase proteins synthesized in response to infection. Both recognize microbial pathogens and activate the classical complement pathway through C1q. More recently, members of the pentraxin family were found to interact with cell-surface Fc{gamma} receptors (Fc{gamma}R) and activate leukocyte-mediated phagocytosis. Here we describe the structural mechanism for pentraxin's binding to Fc{gamma}R and its functional activation of Fc{gamma}R-mediated phagocytosis and cytokine secretion. The complex structure between human SAP and Fc{gamma}RIIa reveals a diagonally bound receptor on each SAP pentamer with both D1 and D2 domains of the receptor contacting the ridge helices from two SAP subunits. The 1:1 stoichiometry between SAP and Fc{gamma}RIIa infers the requirement for multivalent pathogen binding for receptor aggregation. Mutational and binding studies show that pentraxins are diverse in their binding specificity for Fc{gamma}R isoforms but conserved in their recognition structure. The shared binding site for SAP and IgG results in competition for Fc{gamma}R binding and the inhibition of immune-complex-mediated phagocytosis by soluble pentraxins. These results establish antibody-like functions for pentraxins in the Fc{gamma}R pathway, suggest an evolutionary overlap between the innate and adaptive immune systems, and have new therapeutic implications for autoimmune diseases.

Lu, Jinghua; Marnell, Lorraine L.; Marjon, Kristopher D.; Mold, Carolyn; Du Clos, Terry W.; Sun, Peter D. (UNM); (NIH)

2009-10-05T23:59:59.000Z

242

Hydridomethyl iridium complex  

DOE Patents (OSTI)

A process for functionalizing methane comprising: (a) reacting methane with a hydridoalkyl metal complex of the formula: CpIr[P(R.sub.1).sub.3 ]H(R.sub.2) wherein Cp represents a cyclopentadienyl or alkylcyclopentadienyl radical having from 1 to 5 carbon atoms; Ir represents an iridium atom; P represents a phosphorus atom; R.sub.1 represents an alkyl group; R.sub.2 represents an alkyl group having at least two carbon atoms; and H represents a hydrogen atom, in the presence of a liquid alkane R.sub.3 H having at least three carbon atoms to form a hydridomethyl complex of the formula: CpIr[P(R.sub.1).sub.3 ]HMe where Me represents a methyl radical. (b) reacting said hydridomethyl complex with an organic halogenating agent such as a tetrahalomethane or a haloform of the formulas: CX'X"X'"X"" or CHX'X"X'"; wherein X', X", X"', and X"" represent halogens selected from bromine, iodine and chlorine, to halomethyl complex of step (a) having the formula: CpIr[P(R.sub.1).sub.3 ]MeX: (c) reacting said halomethyl complex with a mercuric halide of the formula HgX.sub.2 to form a methyl mercuric halide of the formula HgMeX; and (d) reacting said methyl mercuric halide with a molecular halogen of the formula X.sub.2 to form methyl halide.

Bergman, Robert G. (P.O. Box 7141, San Francisco, CA 94120-7141); Buchanan, J. Michael (P.O. Box 7141, San Francisco, CA 94120-7141); Stryker, Jeffrey M. (P.O. Box 7141, San Francisco, CA 94120-7141); Wax, Michael J. (P.O. Box 7141, San Francisco, CA 94120-7141)

1989-01-01T23:59:59.000Z

243

The NNSA Albuquerque Complex  

NLE Websites -- All DOE Office Websites

Albuquerque Complex Transition Site Albuquerque Complex Transition Site National Nuclear Security Administration - Service Center Internet Site Skip to Content Click to make text smaller Click to make text larger Viewing Options-Click to increase or decrease page font size. NNSA Home Page Office of Public Affairs Employee Concerns Program Whistleblower Home Page Office of Civil Rights Federal Asian Pacific American Council - New Mexico Chapter Current Management and Operating Contracts Freedom of Information Privacy Act NEPA Contractor Human Resources Office of Field Financial Management The NNSA Albuquerque Complex Transition Site We are incorporating the web pages on this site into the NNSA HQ site, located at http://www.nnsa.energy.gov. We now provide links to the current locations of all our previous pages and hosted Field Office sites.

244

ALSNews Vol. 328  

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

8 Print 8 Print A Microscopic Double-Slit Experiment In a new twist on Young's classic double-slit experiment, researchers have shown that the double slits can be replaced by electron-emitting diatomic molecules and that traces of electron-wave interference can be directly observed in measurements of the vibrationally resolved photoionization spectra. Read more... Contact: This e-mail address is being protected from spambots. You need JavaScript enabled to view it Signal Recognition Particle-Receptor Complex Structure Solved The signal recognition particle (SRP) delivers proteins to the cell membrane in prokaryotes and in eukaryotes to the endoplasmic reticulum. Researchers learned more about this essential and evolutionarily conserved process, called co-translational protein targeting, via the crystal structure of the complexed SRP molecule. Read more...

245

ALSNews Vol. 328  

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

ALSNews Vol. 328 Print ALSNews Vol. 328 Print A Microscopic Double-Slit Experiment In a new twist on Young's classic double-slit experiment, researchers have shown that the double slits can be replaced by electron-emitting diatomic molecules and that traces of electron-wave interference can be directly observed in measurements of the vibrationally resolved photoionization spectra. Read more... Contact: This e-mail address is being protected from spambots. You need JavaScript enabled to view it Signal Recognition Particle-Receptor Complex Structure Solved The signal recognition particle (SRP) delivers proteins to the cell membrane in prokaryotes and in eukaryotes to the endoplasmic reticulum. Researchers learned more about this essential and evolutionarily conserved process, called co-translational protein targeting, via the crystal structure of the complexed SRP molecule. Read more...

246

ALSNews Vol. 328  

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

ALSNews Vol. 328 Print ALSNews Vol. 328 Print A Microscopic Double-Slit Experiment In a new twist on Young's classic double-slit experiment, researchers have shown that the double slits can be replaced by electron-emitting diatomic molecules and that traces of electron-wave interference can be directly observed in measurements of the vibrationally resolved photoionization spectra. Read more... Contact: This e-mail address is being protected from spambots. You need JavaScript enabled to view it Signal Recognition Particle-Receptor Complex Structure Solved The signal recognition particle (SRP) delivers proteins to the cell membrane in prokaryotes and in eukaryotes to the endoplasmic reticulum. Researchers learned more about this essential and evolutionarily conserved process, called co-translational protein targeting, via the crystal structure of the complexed SRP molecule. Read more...

247

ALSNews Vol. 328  

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

8 Print 8 Print A Microscopic Double-Slit Experiment In a new twist on Young's classic double-slit experiment, researchers have shown that the double slits can be replaced by electron-emitting diatomic molecules and that traces of electron-wave interference can be directly observed in measurements of the vibrationally resolved photoionization spectra. Read more... Contact: This e-mail address is being protected from spambots. You need JavaScript enabled to view it Signal Recognition Particle-Receptor Complex Structure Solved The signal recognition particle (SRP) delivers proteins to the cell membrane in prokaryotes and in eukaryotes to the endoplasmic reticulum. Researchers learned more about this essential and evolutionarily conserved process, called co-translational protein targeting, via the crystal structure of the complexed SRP molecule. Read more...

248

A novel face recognition method based on sub-pattern and tensor  

Science Conference Proceedings (OSTI)

This paper aims to address one of the many problems existing in current facial recognition techniques using tensor (TensorFace Algorithm and its extensions). Current methods rasterize facial images as vectors, which result in a loss of spatial structure ... Keywords: Face recognition, Multilinear analysis, Sub-pattern technique, Tensor subspace analysis

Su-Jing Wang; Chun-Guang Zhou; Yu-Hsin Chen; Xu-Jun Peng; Hui-Ling Chen; Gang Wang; Xiaohua Liu

2011-10-01T23:59:59.000Z

249

Automatic recognition fingerspelling gestures in multiple languages for a communication interface for the disabled  

Science Conference Proceedings (OSTI)

This paper presents the design and evaluation of a multi-lingual fingerspelling recognition module that is designed for an information terminal. Through the use of multimodal input and output methods, the information terminal acts as a communication ... Keywords: assistive technologies, fingerspelling recognition, sign language

A. Alp Kindiroglu; H. Yalcin; O. Aran; M. Hrz; P. Campr; L. Akarun; A. Karpov

2012-10-01T23:59:59.000Z

250

Probabilistic subspace-based learning of shape dynamics modes for multi-view action recognition  

E-Print Network (OSTI)

-temporal interest point de- scriptors (STIP) [12] for multi-view action recognition. 5.1. Dataset The MuHAVi dataset outperforms [13] which uses Spatio-Temporal Interest Points (STIP) [12] for multi-view action recognition. This method constructs BoW of STIP features for every action. These BoWs are classified using Support Vector

California at Santa Barbara, University of

251

On the (im)possibility of perennial message recognition protocols without public-key cryptography  

Science Conference Proceedings (OSTI)

A message recognition protocol (MRP) aims to exchange authenticated information in an insecure channel. During the initialization session of the protocol, the parties exchange some authenticated information which the adversary can passively observe. ... Keywords: Dolev-Yao model, message recognition, symmetric cryptography

Madeline Gonzlez Muiz; Peeter Laud

2011-03-01T23:59:59.000Z

252

Dynamic hand gesture recognition: An exemplar-based approach from motion divergence fields  

Science Conference Proceedings (OSTI)

Exemplar-based approaches for dynamic hand gesture recognition usually require a large collection of gestures to achieve high-quality performance. Efficient visual representation of the motion patterns hence is very important to offer a scalable solution ... Keywords: Divergence fields, Hand gesture recognition, Maximum Stable Extremal Regions, Optical flow, Term frequency-inverse document frequency (TF-IDF)

Xiaohui Shen; Gang Hua; Lance Williams; Ying Wu

2012-03-01T23:59:59.000Z

253

Human gait recognition by the fusion of motion and static spatio-temporal templates  

Science Conference Proceedings (OSTI)

In this paper, we propose a gait recognition algorithm that fuses motion and static spatio-temporal templates of sequences of silhouette images, the motion silhouette contour templates (MSCTs) and static silhouette templates (SSTs). MSCTs and SSTs capture ... Keywords: Biometrics, Gait recognition, Motion silhouette contour templates, Static silhouette templates

Toby H. W. Lam; Raymond S. T. Lee; David Zhang

2007-09-01T23:59:59.000Z

254

A new classification pattern recognition methodology for power system typical load profiles  

Science Conference Proceedings (OSTI)

In this paper a new pattern recognition methodology is described for the classification of the daily chronological load curves of power systems, in order to estimate their respective representative daily load profiles, which can be mainly used for load ... Keywords: adaptive vector quantization, adequacy measures, clustering algorithms, fuzzy k-means, hierarchical clustering, k-means, load profiles, pattern recognition, self-organized maps

G. J. Tsekouras; F. D. Kanellos; V. T. Kontargyri; I. S. Karanasiou; A. D. Salis; N. E. Mastorakis

2008-12-01T23:59:59.000Z

255

Online named entity recognition method for microtexts in social networking services: A case study of twitter  

Science Conference Proceedings (OSTI)

Named entity recognition (NER) methods have been regarded as an efficient strategy to extract relevant entities for answering a given query. The aim of this work is to exploit the conventional NER methods for analyzing a large set of microtexts of which ... Keywords: Multiplex social network, Named entity recognition, Network analysis, Social networks

Jason J. Jung

2012-07-01T23:59:59.000Z

256

Class-specific feature polynomial classifier for pattern classification and its application to handwritten numeral recognition  

Science Conference Proceedings (OSTI)

The polynomial classifier (PC) that takes the binomial terms of reduced subspace features as inputs has shown superior performance to multilayer neural networks in pattern classification. In this paper, we propose a class-specific feature polynomial ... Keywords: Class-specific feature polynomial classifier, Handwritten digit recognition, Neural classifiers, Numeral string recognition, Pattern classification

Cheng-Lin Liu; Hiroshi Sako

2006-04-01T23:59:59.000Z

257

Three-Dimensional Face Recognition in the Presence of Facial Expressions: An Annotated Deformable Model Approach  

Science Conference Proceedings (OSTI)

In this paper, we present the computational tools and a hardware prototype for 3D face recognition. Full automation is provided through the use of advanced multistage alignment algorithms, resilience to facial expressions by employing a deformable model ... Keywords: Face and gesture recognition, information search and retrieval.

Ioannis A. Kakadiaris; Georgios Passalis; George Toderici; Mohammed N. Murtuza; Yunliang Lu; Nikos Karampatziakis; Theoharis Theoharis

2007-04-01T23:59:59.000Z

258

A compact feature set for recognition of handwritten numerals and vowels in the Kanarese script  

Science Conference Proceedings (OSTI)

In this work we present a handwritten character recognition system for vowels and numerals of the Kanarese script. The system reads a handwritten character in the form of an image and translates it to a machine editable form. We have accomplished this ... Keywords: connectivity, decision trees, end points, feature extraction and classification, handwritten character recognition, preprocessing

R. Santhosh; Gowri Srinivasa

2012-08-01T23:59:59.000Z

259

Burning state recognition of rotary kiln using ELMs with heterogeneous features  

Science Conference Proceedings (OSTI)

Image based burning state recognition plays an important role in sintering process control of rotary kiln. Although many efforts on dealing with this problem have been made over the past years, the recognition performance cannot be satisfactory due to ... Keywords: Burning state, ELM, Eigen-flame image, Latent semantic analysis, Multivariate image analysis

Weitao Li; Dianhui Wang; Tianyou Chai

2013-02-01T23:59:59.000Z

260

Possibilistic clustering approach to trackless ring Pattern Recognition in RICH counters  

Science Conference Proceedings (OSTI)

The pattern recognition problem in Ring Imaging CHerenkov (RICH) counters concerns the identification of an unknown number of rings whose centers and radii are assumed to be unknown. In this paper we present an algorithm based on the possibilistic approach ... Keywords: 07.05.Mh, 29.40.Ka, 29.85.+c, Pattern recognition, Possibilistic clustering, RICH counters

A. M. Massone; L. Studer; F. Masulli

2006-02-01T23:59:59.000Z

Note: This page contains sample records for the topic "recognition particle-receptor complex" 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

2005 Special Issue: A hierarchical classifier using new support vector machines for automatic target recognition  

Science Conference Proceedings (OSTI)

A binary hierarchical classifier is proposed for automatic target recognition. We also require rejection of non-object (non-target) inputs, which are not seen during training or validation, thus producing a very difficult problem. The SVRDM (support ... Keywords: Automatic target recognition, Hierarchical classifier, Support vector machine

David Casasent; Yu-Chiang Wang

2005-06-01T23:59:59.000Z

262

On solving the face recognition problem with one training sample per subject  

Science Conference Proceedings (OSTI)

The lack of adequate training samples and the considerable variations observed in the available image collections due to aging, illumination and pose variations are the two key technical barriers that appearance-based face recognition solutions have ... Keywords: Face recognition, Generic learning, One training sample per subject

Jie Wang; K. N. Plataniotis; Juwei Lu; A. N. Venetsanopoulos

2006-09-01T23:59:59.000Z

263

A hybrid SVM/DDBHMM decision fusion modeling for robust continuous digital speech recognition  

Science Conference Proceedings (OSTI)

This paper proposes an improved hybrid support vector machine and duration distribution based hidden Markov (SVM/DDBHMM) decision fusion model for robust continuous digital speech recognition. We investigate the probability outputs combination of support ... Keywords: Duration distribution based hidden Markov model (DDBHMM), Gaussian mixture model, Speech recognition, Support vector machine

Jingwei Liu; Zuoying Wang; Xi Xiao

2007-06-01T23:59:59.000Z

264

Molecular Recognition as an Information Channel: The Role of Conformational Changes  

E-Print Network (OSTI)

Molecular Recognition as an Information Channel: The Role of Conformational Changes Yonatan Savir Theory, 43rd Annual Conference on Information Sciences and Systems, March 18-20, 2009 Abstract--Molecular of various similar competing molecules. We consider molecular recognition as a transmission of information

Tlusty, Tsvi

265

Assessing the role of spatial relations for the object recognition task  

Science Conference Proceedings (OSTI)

It has been proved that spatial relations among objects and object's parts play a fundamental role in the human perception and understanding of images, thus becoming very relevant in the computational fields of object recognition and content-based image ... Keywords: object recognition, spatial relations, topological relations

Annette Morales-Gonzlez; Edel Garca-Reyes

2010-11-01T23:59:59.000Z

266

Experimental comparison of orthogonal moments as feature extraction methods for character recognition  

Science Conference Proceedings (OSTI)

The selection of a good feature extraction technique is very important in any classification problem. Moments, especially orthogonal moments, seem to be a powerful option in the case of digital image compression, description and recognition. Nowadays, ... Keywords: character recognition, feature extraction, orthogonal moments

Miguel A. Duval; Sandro Vega-Pons; Eduardo Garea

2010-11-01T23:59:59.000Z

267

Posterior-based features and distances in template matching for speech recognition  

Science Conference Proceedings (OSTI)

The use of large speech corpora in example-based approaches for speech recognition is mainly focused on increasing the number of examples. This strategy presents some difficulties because databases may not provide enough examples for some rare words. ... Keywords: KL-divergence, bhattacharyya, multi-layer perceptron, posterior features, speech recognition, template matching

Guillermo Aradilla; Herv Bourlard

2007-06-01T23:59:59.000Z

268

GMM-SVM Kernel with a Bhattacharyya-based distance for speaker recognition  

Science Conference Proceedings (OSTI)

Among conventional methods for text-independent speaker recognition, Gaussian mixture model (GMM) is known for its effectiveness and scalability in modeling the spectral distribution of speech. A GMM-supervector characterizes a speaker's voice by the ... Keywords: gaussian mixture model (GMM), speaker recognition, supervector, support vector machine (SVM)

Chang Huai You; Kong Aik Lee; Haizhou Li

2010-08-01T23:59:59.000Z

269

Real-time automatic license plate recognition for CCTV forensic applications  

Science Conference Proceedings (OSTI)

We propose an efficient real-time automatic license plate recognition (ALPR) framework, particularly designed to work on CCTV video footage obtained from cameras that are not dedicated to the use in ALPR. At present, in license plate detection, tracking ... Keywords: CCTV video footage, License plate recognition, Surveillance, Traffic monitoring, Video indexing

M. S. Sarfraz, A. Shahzad, Muhammad A. Elahi, M. Fraz, I. Zafar, E. A. Edirisinghe

2013-09-01T23:59:59.000Z

270

Luminescent macrocyclic lanthanide complexes  

DOE Patents (OSTI)

The present invention provides a novel class of macrocyclic compounds as well as complexes formed between a metal (e.g., lanthanide) ion and the compounds of the invention. Preferred complexes exhibit high stability as well as high quantum yields of lanthanide ion luminescence in aqueous media without the need for secondary activating agents. Preferred compounds incorporate hydroxy-isophthalamide moieties within their macrocyclic structure and are characterized by surprisingly low, non-specific binding to a variety of polypeptides such as antibodies and proteins as well as high kinetic stability. These characteristics distinguish them from known, open-structured ligands.

Raymond, Kenneth N. (Berkeley, CA); Corneillie, Todd M. (Campbell, CA); Xu, Jide (Berkeley, CA)

2012-05-08T23:59:59.000Z

271

Y-12 National Security Complex  

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

Complex Y-12 National Security Complexs primary mission is to support of the DOE nuclear weapons stockpile maintenance program. Activities include assembly and disassembly...

272

The Lillehammer Submarine Fan Complex.  

E-Print Network (OSTI)

??Abstract The Lillehammer Submarine Fan Complex is a mixed mud/sand rich turbidite fan system. The fan complex was deposited in the Neoproterozoic Hedmark rift basin (more)

Skaten, Maren Kristin Mllerup

2006-01-01T23:59:59.000Z

273

Structural basis of RNA recognition and activation by innate immune receptor RIG-I  

Science Conference Proceedings (OSTI)

Retinoic-acid-inducible gene-I (RIG-I; also known as DDX58) is a cytoplasmic pathogen recognition receptor that recognizes pathogen-associated molecular pattern (PAMP) motifs to differentiate between viral and cellular RNAs. RIG-I is activated by blunt-ended double-stranded (ds)RNA with or without a 5'-triphosphate (ppp), by single-stranded RNA marked by a 5'-ppp and by polyuridine sequences. Upon binding to such PAMP motifs, RIG-I initiates a signalling cascade that induces innate immune defences and inflammatory cytokines to establish an antiviral state. The RIG-I pathway is highly regulated and aberrant signalling leads to apoptosis, altered cell differentiation, inflammation, autoimmune diseases and cancer. The helicase and repressor domains (RD) of RIG-I recognize dsRNA and 5'-ppp RNA to activate the two amino-terminal caspase recruitment domains (CARDs) for signalling. Here, to understand the synergy between the helicase and the RD for RNA binding, and the contribution of ATP hydrolysis to RIG-I activation, we determined the structure of human RIG-I helicase-RD in complex with dsRNA and an ATP analogue. The helicase-RD organizes into a ring around dsRNA, capping one end, while contacting both strands using previously uncharacterized motifs to recognize dsRNA. Small-angle X-ray scattering, limited proteolysis and differential scanning fluorimetry indicate that RIG-I is in an extended and flexible conformation that compacts upon binding RNA. These results provide a detailed view of the role of helicase in dsRNA recognition, the synergy between the RD and the helicase for RNA binding and the organization of full-length RIG-I bound to dsRNA, and provide evidence of a conformational change upon RNA binding. The RIG-I helicase-RD structure is consistent with dsRNA translocation without unwinding and cooperative binding to RNA. The structure yields unprecedented insight into innate immunity and has a broader impact on other areas of biology, including RNA interference and DNA repair, which utilize homologous helicase domains within DICER and FANCM.

Jiang, Fuguo; Ramanathan, Anand; Miller, Matthew T.; Tang, Guo-Qing; Gale, Jr., Michael; Patel, Smita S.; Marcotrigiano, Joseph (Rutgers); (RWJ-Med); (UW-MED)

2012-05-29T23:59:59.000Z

274

Application of hybrid pattern recognition for discriminating paddy seeds of different storage periods based on Vis/NIRS  

Science Conference Proceedings (OSTI)

Hybrid pattern recognition was put forward to discriminate paddy seeds of four different storage periods based on visible/near infrared reflectance spectroscopy (Vis/NIRS). The hybrid pattern recognition included extracting feature and building classifier. ...

Li Xiaoli; Cao Fang; He Yong

2007-05-01T23:59:59.000Z

275

Complex Structures in Electrodynamics  

E-Print Network (OSTI)

In this paper we show that the basic external (i.e. not determined by the equations) object in Classical electrodynamics equations is a complex structure. In the 3-dimensional standard form of Maxwell equations this complex structure $\\mathcal{I}$ participates implicitly in the equations and its presence is responsible for the so called duality invariance. We give a new form of the equations showing explicitly the participation of $\\mathcal{I}$. In the 4-dimensional formulation the complex structure is extracted directly from the equations, it appears as a linear map $\\Phi$ in the space of 2-forms on $\\mathbb{R}^4$. It is shown also that $\\Phi$ may appear through the equivariance properties of the new formulation of the theory. Further we show how this complex structure $\\Phi$ combines with the Poincare isomorphism $\\mathfrak{P}$ between the 2-forms and 2-tensors to generate all well known and used in the theory (pseudo)metric constructions on $\\mathbb{R}^4$, and to define the conformal symmetry properties. The equations of Extended Electrodynamics (EED) do not also need these pseudometrics as beforehand necessary structures. A new formulation of the EED equations in terms of a generalized Lie derivative is given.

Stoil Donev

2001-06-12T23:59:59.000Z

276

Harnessing complexity in CSCW  

Science Conference Proceedings (OSTI)

We argue that socio-technical systems can be understood as complex adaptive systems, that is, systems containing component sub-systems interacting such that they co-evolve This viewpoint may allow us to understand more clearly the factors that underlie ...

Simon Kaplan; Lesley Seebeck

2001-09-01T23:59:59.000Z

277

Speech coding, reconstruction and recognition using acoustics and electromagnetic waves  

DOE Patents (OSTI)

The use of EM radiation in conjunction with simultaneously recorded acoustic speech information enables a complete mathematical coding of acoustic speech. The methods include the forming of a feature vector for each pitch period of voiced speech and the forming of feature vectors for each time frame of unvoiced, as well as for combined voiced and unvoiced speech. The methods include how to deconvolve the speech excitation function from the acoustic speech output to describe the transfer function each time frame. The formation of feature vectors defining all acoustic speech units over well defined time frames can be used for purposes of speech coding, speech compression, speaker identification, language-of-speech identification, speech recognition, speech synthesis, speech translation, speech telephony, and speech teaching.

Holzrichter, John F. (Berkeley, CA); Ng, Lawrence C. (Danville, CA)

1998-01-01T23:59:59.000Z

278

Optimizing automated gas turbine fault detection using statistical pattern recognition  

SciTech Connect

A method enabling the automated diagnosis of Gas Turbine Compressor blade faults, based on the principles of statistical pattern recognition is initially presented. The decision making is based on the derivation of spectral patterns from dynamic measurements data and then the calculation of discriminants with respect to reference spectral patterns of the faults while it takes into account their statistical properties. A method of optimizing the selection of discriminants using dynamic measurements data is also presented. A few scalar discriminants are derived, in such a way that the maximum available discrimination potential is exploited. In this way the success rate of automated decision making is further improved, while the need for intuitive discriminant selection is eliminated. The effectiveness of the proposed methods is demonstrated by application to data coming from an Industrial Gas Turbine while extension to other aspects of Fault Diagnosis is discussed. 9 refs.

Loukis, E.; Mathioudakis, K.; Papailiou, K. (Athens National Technical Univ. (Greece))

1992-01-01T23:59:59.000Z

279

Optimizing automated gas turbine fault detection using statistical pattern recognition  

SciTech Connect

A method enabling the automated diagnosis of gas turbine compressor blade faults, based on the principles of statistical pattern recognition, is initially presented. The decision making is based on the derivation of spectral patterns from dynamic measurement data and then the calculation of discriminants with respect to reference spectral patterns of the faults while it takes into account their statistical properties. A method of optimizing the selection of discriminants using dynamic measurement data is also presented. A few scalar discriminants are derived, in such a way that the maximum available discrimination potential is exploited. In this way the success rate of automated decision making is further improved, while the need for intuitive discriminant selection is eliminated. The effectiveness of the proposed methods is demonstrated by application to data coming from an industrial gas turbine while extension to other aspects of fault diagnosis is discussed.

Loukis, E.; Mathioudakis, K.; Papailiou, K. (National Technical Univ. of Athens (Greece). Lab. of Thermal Turbomachines)

1994-01-01T23:59:59.000Z

280

A blackboard-based approach to handwritten ZIP Code recognition  

E-Print Network (OSTI)

A methodology for recognizing ZIP codes @ostal codes) in handwritten addresses is presented. The method uses many diverse pattern recognition and image processing algorithms. Given a high-resolution image of a hand-written address block, the solution invokes routines capable of hypothesizing the location of the ZIP Code, segmenting and recognizing ZIP Code digits, locating and recognizing City and State names, and looking-up the results in a dictionaq. The control structure is not strictly sequential, but in the form of a black-board architecture that opportunistically invokes routines as needed. An implementation of the methodology is described as well as results with a data-base of grey level images of handwritten addresses (taken from live mail in a US. Postal Service mail processing facility). Future extensions of the approach are also discussed. 1.

Jonathan J. Hull; Sargur N. Srihari; Leonard Kuan; Peter Cullen; Paul Palumbo

1988-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "recognition particle-receptor complex" 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

Effects of Iris Surface Curvature on Iris Recognition  

Science Conference Proceedings (OSTI)

To focus on objects at various distances, the lens of the eye must change shape to adjust its refractive power. This change in lens shape causes a change in the shape of the iris surface which can be measured by examining the curvature of the iris. This work isolates the variable of iris curvature in the recognition process and shows that differences in iris curvature degrade matching ability. To our knowledge, no other work has examined the effects of varying iris curvature on matching ability. To examine this degradation, we conduct a matching experiment across pairs of images with varying degrees of iris curvature differences. The results show a statistically signi cant degradation in matching ability. Finally, the real world impact of these ndings is discussed

Thompson, Joseph T [ORNL; Flynn, Patrick J [ORNL; Bowyer, Kevin W [University of Notre Dame, IN; Santos-Villalobos, Hector J [ORNL

2013-01-01T23:59:59.000Z

282

Speech coding, reconstruction and recognition using acoustics and electromagnetic waves  

DOE Patents (OSTI)

The use of EM radiation in conjunction with simultaneously recorded acoustic speech information enables a complete mathematical coding of acoustic speech. The methods include the forming of a feature vector for each pitch period of voiced speech and the forming of feature vectors for each time frame of unvoiced, as well as for combined voiced and unvoiced speech. The methods include how to deconvolve the speech excitation function from the acoustic speech output to describe the transfer function each time frame. The formation of feature vectors defining all acoustic speech units over well defined time frames can be used for purposes of speech coding, speech compression, speaker identification, language-of-speech identification, speech recognition, speech synthesis, speech translation, speech telephony, and speech teaching. 35 figs.

Holzrichter, J.F.; Ng, L.C.

1998-03-17T23:59:59.000Z

283

Template-based Action Recognition: Classifying Hockey Players Movement  

E-Print Network (OSTI)

Although action recognition is remarkably easy for people, it is a difficult task for computers. A moving camera that takes broadcast-quality videos makes this even more difficult. This research focuses on actions at a medium distance. That is, a typical figure has a resolution of dozens of pixels in each dimension. The system is demonstrated using videos of ice hockey sport. An approach that breaks the problem into three sub-problems is taken. Figures of hockey players are first tracked with a self-initializing tracker. The stabilization process then refines the rough estimates about scale and position of a figure given by the tracker. Taking the stabilized results given by the stabilization process, the action recognition system uses motion and pose features to classify actions. A new stabilization algorithm is developed. The method uses a mixture of templates to estimate the position and scale of a figure. It helps to alleviate some of the accuracy and consistency problems. The consistency of the template library is addressed with a procedure that iteratively selects templates to better fit the training data. Our method is shown to consistently outperform a typical approach that uses only the best match with a set of synthetic image sequences. The research makes novel use of image gradients. It decomposes image gradients into four non-negative components. The decomposed image gradients (DIGs) are used to characterize poses. Quantitative performance comparisons are made between methods that use motion and pose features. The experiments show clear evidence that, for the kind of data that this research is interested in, pose features are better than motion features in terms of classification accuracy. The pose features are also superior to the motion features in terms of computational efficiency.

Xiaojing Wu

2005-01-01T23:59:59.000Z

284

Invariant Range Image Multi-Pose Face Recognition Using Gradient Face, Membership Matching Score and 3-Layer Matching Search  

Science Conference Proceedings (OSTI)

The purpose of this paper is to present the novel technique to solve the recognition errors in invariant range image multi-pose face recognition. The scale, center and pose error problems were solved by using the geometric transform [13]. Range image ... Keywords: multi-pose face recognition, facial range image, gradient transform, membership matching score, geometric transform, 3-Layer Matching Search

Seri Pansang; Boonwat Attachoo; Chom Kimpan; Makoto Sato

2005-02-01T23:59:59.000Z

285

A survey of approaches and challenges in 3D and multi-modal 3D + 2D face recognition  

Science Conference Proceedings (OSTI)

This survey focuses on recognition performed by matching models of the three-dimensional shape of the face, either alone or in combination with matching corresponding two-dimensional intensity images. Research trends to date are summarized, and challenges ... Keywords: biometrics, face recognition, multi-modal, range image, three-dimensional face recognition

Kevin W. Bowyer; Kyong Chang; Patrick Flynn

2006-01-01T23:59:59.000Z

286

A survey of approaches and challenges in 3D and multi-modal 3D+2D face recognition  

Science Conference Proceedings (OSTI)

This survey focuses on recognition performed by matching models of the three-dimensional shape of the face, either alone or in combination with matching corresponding two-dimensional intensity images. Research trends to date are summarized, and challenges ... Keywords: Biometrics, Face recognition, Multi-modal, Range image, Three-dimensional face recognition

Kevin W. Bowyer; Kyong Chang; Patrick Flynn

2006-01-01T23:59:59.000Z

287

Quantum Complexity and Fundamental Physics  

Science Conference Proceedings (OSTI)

Quantum Complexity and Fundamental Physics. Scott Aaronson Computer Science and Artificial Intelligence Laboratory ...

2010-10-05T23:59:59.000Z

288

Do I Know You? Species Recognition Operates Within and Between the Sexes in a UnisexualBisexual Species Complex  

E-Print Network (OSTI)

costs, and support several employees. They will simply cease to function if they cannot make the sales which was then placed in the tank), Spirulina powder and yeast. The tadpoles seemed to primarily consume

Gabor, Caitlin - Department of Biology, Texas State University

289

Structural Determinants of Substrate Recognition in the HAD Superfamily Member D-glycero-D-manno-Heptose-1,7-bisphosphate Phosphatase (GmhB)  

SciTech Connect

The haloalkanoic acid dehalogenase (HAD) enzyme superfamily is the largest family of phosphohydrolases. In HAD members, the structural elements that provide the binding interactions that support substrate specificity are separated from those that orchestrate catalysis. For most HAD phosphatases, a cap domain functions in substrate recognition. However, for the HAD phosphatases that lack a cap domain, an alternate strategy for substrate selection must be operative. One such HAD phosphatase, GmhB of the HisB subfamily, was selected for structure-function analysis. Herein, the X-ray crystallographic structures of Escherichia coli GmhB in the apo form (1.6 {angstrom} resolution), in a complex with Mg{sup 2+} and orthophosphate (1.8 {angstrom} resolution), and in a complex with Mg{sup 2+} and D-glycero-D-manno-heptose 1{beta},7-bisphosphate (2.2 {angstrom} resolution) were determined, in addition to the structure of Bordetella bronchiseptica GmhB bound to Mg{sup 2+} and orthophosphate (1.7 {angstrom} resolution). The structures show that in place of a cap domain, the GmhB catalytic site is elaborated by three peptide inserts or loops that pack to form a concave, semicircular surface around the substrate leaving group. Structure-guided kinetic analysis of site-directed mutants was conducted in parallel with a bioinformatics study of sequence diversification within the HisB subfamily to identify loop residues that serve as substrate recognition elements and that distinguish GmhB from its subfamily counterpart, the histidinol-phosphate phosphatase domain of HisB. We show that GmhB and the histidinol-phosphate phosphatase domain use the same design of three substrate recognition loops inserted into the cap domain yet, through selective residue usage on the loops, have achieved unique substrate specificity and thus novel biochemical function.

Nguyen, H.; Wang, L; Huang, H; Peisach, E; Dunaway-Mariano, D; Allen, K

2010-01-01T23:59:59.000Z

290

Complex fission phenomena  

E-Print Network (OSTI)

Complex fission phenomena are studied in a unified way. Very general reflection asymmetrical equilibrium (saddle point) nuclear shapes are obtained by solving an integro-differential equation without being necessary to specify a certain parametrization. The mass asymmetry in binary cold fission of Th and U isotopes is explained as the result of adding a phenomenological shell correction to the liquid drop model deformation energy. Applications to binary, ternary, and quaternary fission are outlined.

D. N. Poenaru; R. A. Gherghescu; W. Greiner

2004-04-09T23:59:59.000Z

291

Method for preparing radiopharmaceutical complexes  

DOE Patents (OSTI)

A method for preparing radiopharmaceutical complexes that are substantially free of the reaction materials used to produce the radiopharmaceutical complex is disclosed. The method involves admixing in a suitable first solvent in a container a target seeking ligand or salt or metal adduct thereof, a radionuclide label, and a reducing agent for said radionuclide, thereby forming said radiopharmaceutical complex; coating the interior walls of the container with said pharmaceutical complex; discarding the solvent containing by-products and unreacted starting reaction materials; and removing the radiopharmaceutical complex from said walls by dissolving it in a second solvent, thereby obtaining said radiopharmaceutical complex substantially free of by-products and unreacted starting materials.

Jones, Alun G. (Newton Centre, MA); Davison, Alan (Needham, MA); Abrams, Michael J. (Westchester, PA)

1989-05-02T23:59:59.000Z

292

Complexity Science for Simpletons  

E-Print Network (OSTI)

In this article, we shall describe some of the most interesting topics in the subject of Complexity Science for a general audience. Anyone with a solid foundation in high school mathematics (with some calculus) and an elementary understanding of computer programming will be able to follow this article. First, we shall explain the significance of the P versus NP problem and solve it. Next, we shall describe two other famous mathematics problems, the Collatz 3n+1 Conjecture and the Riemann Hypothesis, and show how both Chaitin's incompleteness theorem and Wolfram's notion of "computational irreducibility" are important for understanding why no one has, as of yet, solved these two problems.

Craig Alan Feinstein

2005-07-05T23:59:59.000Z

293

Nuclear Weapons Complex reconfiguration study  

Science Conference Proceedings (OSTI)

Shortly after assuming duties as Secretary of Energy, I reviewed the Nuclear Weapons Complex Modernization Report'' submitted to the Congress in January 1989 as required by the National Defense Authorization Act of 1988 and 1989. My review showed that several of the report's assumptions needed to be re-evaluated. During this eighteen-month review, dramatic world changes forced further reassessments of the future Nuclear Weapons Complex. These changes are reflected in the new report. The new report presents a plan to achieve a reconfigured complex, called Complex-21. Complex-21 would be smaller, less diverse, and less expensive to operated than the Complex of today. Complex-21 would be able to safely and reliability support nuclear deterrent stockpile objectives set forth by the President and funded by the Congress. It would be consistent with realities of the emerging international security environment and flexible enough to accommodate the likely range of deterrent contingencies. In addition, Complex-21 would be constructed and operated to comply with all applicable federal, state, and local laws, regulations, and orders. Achieving Complex-21 will require significant resources. This report provides and organized approach toward selecting the most appropriate configuration for Complex-21, satisfying environmental requirements, and minimizing costs. The alternative -- to continue to use piecemeal fixes to run an antiquated complex -- will be more expensive and provide a less reliable Nuclear Weapons Complex. As a consequence, implementation of the Complex-21 plan is considered necessary to ensure continued viability of our nuclear deterrent.

Not Available

1991-01-01T23:59:59.000Z

294

Image Recognition System for Automated Lighting Retrofit Assessment  

E-Print Network (OSTI)

Buildings are responsible for approximately 40% of all US energy use and carbon emissions. Lighting technologies continue to evolve, leading to potential energy savings through retrofits of lighting systems. Building lighting systems is typically the first item evaluated by commercial and industrial energy auditors. This paper presents the first phase of a project to develop unmanned aerial and ground vehicles capable of conducting autonomous energy audits of commercial buildings. The paper presents a prototype system that can enumerate and classify the lighting in a building using an optical camera, accelerometer, spectrometer, and distance sensor. As the aerial vehicle navigates throughout a room, the prototype system captures images and collects frequency data of lighting. The system employs image recognition techniques to quantify lighting in each room. Using the unique frequency spectrum of each lighting type, the prototype system classifies the different types of lighting with the spectrometer. An accompanying software program then analyzes the quantity and type of lighting to recommend economical alternatives, or lighting retrofits.

Venable, K.; Bhatia, D.; Coverick, R.; Gutierrez, C.; Knight, J.; McGarry, D.; McGee, K.; Smith, Z.; Terrill, T. J.; Vanderford, B.; Weiser, R.; Wightman, K.; Rasmussen, B. P.

2013-01-01T23:59:59.000Z

295

DOE Challenge Home Gaining Recognition as a Leader Webinar (Text Version) |  

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

Home Gaining Recognition as a Leader Webinar (Text Home Gaining Recognition as a Leader Webinar (Text Version) DOE Challenge Home Gaining Recognition as a Leader Webinar (Text Version) Below is a text version of the webinar titled "Gaining Recognition as a Leader," originally presented in May 2013. In addition to this text version of the audio, you can access a recording of the webinar. Sam Rashkin: Slide 1: This is about the DOE Challenge Home as a way for builders to be recognized a leader. Eventually Challenge Home is promoting zero energy ready homes across the country. I believe the business model that we're kinda tapping into is the old Apple business model, which is, they build products people didn't know they wanted but have to have when they try them. We believe zero energy ready homes are homes people have to have once they try them.

296

Pantex receives Perkins Award in recognition of its work with women-owned  

National Nuclear Security Administration (NNSA)

Perkins Award in recognition of its work with women-owned Perkins Award in recognition of its work with women-owned small businesses | 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 > Pantex receives Perkins Award in recognition of ... Pantex receives Perkins Award in recognition of its work with women-owned small businesses

297

Recognition of splice junctions on DNA sequences by BRAIN learning algorithm  

E-Print Network (OSTI)

Motivation: The problem addressed in this paper is the prediction of splice site locations in human DNA. The aims of the proposed approach are explicit splicing rule description, high recognition quality, and robust and stable `one shot' data processing.

Salvatore Rampone

1998-01-01T23:59:59.000Z

298

A dynamic time warping approach to real-time activity recognition for food preparation  

Science Conference Proceedings (OSTI)

We present a dynamic time warping based activity recognition system for the analysis of low-level food preparation activities. Accelerometers embedded into kitchen utensils provide continuous sensor data streams while people are using them for cooking. ...

Cuong Pham; Thomas Pltz; Patrick Olivier

2010-11-01T23:59:59.000Z

299

A rodent model for the study of invariant visual object recognition  

E-Print Network (OSTI)

The human visual system is able to recognize objects despite tremendous variation in their appearance on the retina resulting from variation in view, size, lighting, etc. This abilityknown as invariant object recognitionis ...

Zoccolan, Davide

300

Cost-Sensitive top-down/bottom-up inference for multiscale activity recognition  

Science Conference Proceedings (OSTI)

This paper addresses a new problem, that of multiscale activity recognition. Our goal is to detect and localize a wide range of activities, including individual actions and group activities, which may simultaneously co-occur in high-resolution video. ...

Mohamed R. Amer; Dan Xie; Mingtian Zhao; Sinisa Todorovic; Song-Chun Zhu

2012-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "recognition particle-receptor complex" 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

Human action recognition using a temporal hierarchy of covariance descriptors on 3D joint locations  

Science Conference Proceedings (OSTI)

Human action recognition from videos is a challenging machine vision task with multiple important application domains, such as human-robot/machine interaction, interactive entertainment, multimedia information retrieval, and surveillance. In this paper, ...

Mohamed E. Hussein, Marwan Torki, Mohammad A. Gowayyed, Motaz El-Saban

2013-08-01T23:59:59.000Z

302

A spatial-temporal approach for video caption detection and recognition  

Science Conference Proceedings (OSTI)

We present a video caption detection and recognition system based on a fuzzy-clustering neural network (FCNN) classifier. Using a novel caption-transition detection scheme we locate both spatial and temporal positions of video captions with high precision ...

Xiaoou Tang; Xinbo Gao; Jianzhuang Liu; Hongjiang Zhang

2002-07-01T23:59:59.000Z

303

Robust chinese character recognition by selection of binary-based and grayscale-based classifier  

Science Conference Proceedings (OSTI)

As the spread of digital videos, digital cameras, and camera phones, lots of researches are reported about degraded character recognition. It is found that while the grayscale-based classifier is powerful for degraded character, the performance for clear ...

Yoshinobu Hotta; Jun Sun; Yutaka Katsuyama; Satoshi Naoi

2006-02-01T23:59:59.000Z

304

Mid-Level Vision and Recognition of Non-Rigid Objects  

E-Print Network (OSTI)

We address mid-level vision for the recognition of non-rigid objects. We align model and image using frame curves - which are object or "figure/ground" skeletons. Frame curves are computed, without discontinuities, ...

Subirana-Vilanova, J. Brian

1995-04-01T23:59:59.000Z

305

A sensitizing regimen of methamphetamine causes impairments in a novelty preference task of object recognition  

E-Print Network (OSTI)

affinity binding of [ 125 I]RTI-55 to dopamine and serotoninOR, object recognition; pRh, perirhinal cortex; RTI, [ 125I]RTI-55; SAL, saline; SERT, serotonin transporter; STM,

Belcher, Annabelle M; O'Dell, Steven J; Marshall, John F

2006-01-01T23:59:59.000Z

306

Structure analysis based parking slot marking recognition for semi-automatic parking system  

Science Conference Proceedings (OSTI)

Semi-automatic parking system is a driver convenience system automating steering control required during parking operation. This paper proposes novel monocular-vision based target parking-slot recognition by recognizing parking-slot markings when driver ...

Ho Gi Jung; Dong Suk Kim; Pal Joo Yoon; Jaihie Kim

2006-08-01T23:59:59.000Z

307

Thrift: Local 3D Structure Recognition Alex Flint, Anthony Dick, Anton van den Hengel  

E-Print Network (OSTI)

Thrift: Local 3D Structure Recognition Alex Flint, Anthony Dick, Anton van den Hengel School of Computer Science The University of Adelaide North Terrace, Adelaide, 5005 South Australia, Australia {alex.flint

van den Hengel, Anton

308

Handwritten word recognition with character and inter-character neural networks  

Science Conference Proceedings (OSTI)

An off-line handwritten word recognition system is described. Images of handwritten words are matched to lexicons of candidate strings. A word image is segmented into primitives. The best match between sequences of unions of primitives and a lexicon ...

P. D. Gader; M. Mohamed; Jung-Hsien Chiang

1997-02-01T23:59:59.000Z

309

On combining local DCT with preprocessing sequence for face recognition under varying lighting conditions  

Science Conference Proceedings (OSTI)

Face recognition under varying lighting conditions remains an unsolved problem. In this work, a new photometric normalisation method based on local Discrete Cosine Transform in the logarithmic domain is proposed. The method is experimentally evaluated ...

Heydi Mndez-Vzquez; Josef Kittler; Chi-Ho Chan; Edel Garca-Reyes

2010-11-01T23:59:59.000Z

310

Discriminative training of hierarchical acoustic models for large vocabulary continuous speech recognition  

E-Print Network (OSTI)

In this paper we propose discriminative training of hierarchical acoustic models for large vocabulary continuous speech recognition tasks. After presenting our hierarchical modeling framework, we describe how the models ...

Chang, Hung-An

311

A new shell for the development of alarm pattern recognition expert systems  

Science Conference Proceedings (OSTI)

This paper presents the first version of GENESIS, an expert system shell suitable for the development of alarm pattern recognition expert systems (APRES). GENESIS Includes a series of algorithms and procedures especially designed for a rapid and systematic ...

Juan Arellano; Yalu Galicia; Edgar C. Ramirez Dominguez

1990-06-01T23:59:59.000Z

312

Organometallic Complexes of Graphene  

E-Print Network (OSTI)

We demonstrate the organometallic hexahapto complexation of chromium with graphene, graphite and carbon nanotubes. All of these extended periodic pi-electron systems exhibit some degree of reactivity toward the reagents CrCO)6 and (eta6-benzene)Cr(CO)3, and we are able to demonstrate the formation of (eta6-rene)Cr(CO)3 or (eta6-arene)2Cr, where arene = single-walled carbon nanotubes (SWNT), exfoliated graphene (XG), epitaxial graphene (EG) and highly-oriented pyrolytic graphite (HOPG). We find that the SWNTs are the least reactive presumably as a result of the effect of curvature on the formation of the hexahapto bond; in the case of HOPG, (eta6-HOPG)Cr(CO)3 was isolated while the exfoliated graphene samples were found to give both (eta6-graphene)2Cr, and (eta6-graphene)Cr(CO)3 structures. We report simple and efficient routes for the mild decomplexation of the graphene-chromium complexes which appears to restore the original pristine graphene state. This study represents the first example of the use of graph...

Sarkar, Santanu; Bekyarova, Elena; Haddon, Robert C

2013-01-01T23:59:59.000Z

313

Parabolic flows on complex manifolds  

E-Print Network (OSTI)

Chapter 2 Convergence of the parabolic complex Monge-Amp`ere65] Streets, J. , Tian, G. A parabolic flow of pluriclosedGill, M. Convergence of the parabolic complex Monge-Amp` ere

Gill, Matthew Franklin

2012-01-01T23:59:59.000Z

314

Face recognition based on 3D ridge images obtained from range data  

Science Conference Proceedings (OSTI)

In this paper, we present an approach for 3D face recognition from frontal range data based on the ridge lines on the surface of the face. We use the principal curvature, k"m"a"x, to represent the face image as a 3D binary image called ridge image. The ... Keywords: 3D face recognition, Gaussian curvature, Hausdorff distance, Iterative closest points, Range image, Ridge image

Mohammad H. Mahoor; Mohamed Abdel-Mottaleb

2009-03-01T23:59:59.000Z

315

An optical pattern recognition architecture implementing the mean-square-error correlation algorithm  

DOE Patents (OSTI)

The present invention relates to optical computing and image and pattern recognition systems and techniques in general and, more particularly, to an optical architecture for accomplishing real-time two-dimensional pattern recognition by implementing the so-called Mean-Square-Error'' correlation algorithm (also referred to as the Difference-Squared Error'' algorithm) for discriminating, i.e., recognizing two-dimensional patterns in gray-scale images. 16 figs.

Molley, P.A.

1990-03-26T23:59:59.000Z

316

RHIC | Accelerator Complex  

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

RHIC Accelerators RHIC Accelerators The Relativistic Heavy Ion Collider complex is actually composed of a long "chain" of particle accelerators Heavy ions begin their travels in the Electron Beam Ion Source accelerator (1). The ions then travel to the small, circular Booster (3) where, with each pass, they are accelerated to higher energy. From the Booster, ions travel to the Alternating Gradient Synchrotron (4), which then injects the beams via a beamline (5) into the two rings of RHIC (6). In RHIC, the beams get a final accelerator "kick up" in energy from radio waves. Once accelerated, the ions can "orbit" inside the rings for hours. RHIC can also conduct colliding-beam experiments with polarized protons. These are first accelerated in the Linac (2), and further in the Booster (3), AGS (4), and

317

Complex Glazing Database  

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

1.2 1.2 This is a Beta version of the Complex Glazing Database (CGDB) for WINDOW 6. The data in the list below was measured by LBNL for this first data set. In the future, LBNL will publish measurement and submittal procedures so that manufacturers can submit their own data to LBNL for review and inclusion in subsequent databases, in a similar fashion to the International Glazing Database (IGDB). The numbering scheme for each manufacturer is a Beta scheme and will be further developed in the next few months. Alkenz USA Inc Shading Material Name BSDF XML File Shading Layer Name ID Type Sunshadow 3000, N901 Charcoal (SA-31) 2011-SA31.XML Sunshadow 3000, N901 Charcoal (WS) 7000 BSDF File Sunshadow 3100, N002 white/bone (SA-30) 2011-SA30.XML Sunshadow 3100, N002 white/bone (WS)

318

Complex pendulum biomass sensor  

DOE Patents (OSTI)

A complex pendulum system biomass sensor having a plurality of pendulums. The plurality of pendulums allow the system to detect a biomass height and density. Each pendulum has an angular deflection sensor and a deflector at a unique height. The pendulums are passed through the biomass and readings from the angular deflection sensors are fed into a control system. The control system determines whether adjustment of machine settings is appropriate and either displays an output to the operator, or adjusts automatically adjusts the machine settings, such as the speed, at which the pendulums are passed through the biomass. In an alternate embodiment, an entanglement sensor is also passed through the biomass to determine the amount of biomass entanglement. This measure of entanglement is also fed into the control system.

Hoskinson, Reed L. (Rigby, ID); Kenney, Kevin L. (Idaho Falls, ID); Perrenoud, Ben C. (Rigby, ID)

2007-12-25T23:59:59.000Z

319

SCC: The Strategic Computing Complex  

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

SCC: The Strategic Computing Complex SCC: The Strategic Computing Complex SCC: The Strategic Computing Complex The Strategic Computing Complex (SCC) is a secured supercomputing facility that supports the calculation, modeling, simulation, and visualization of complex nuclear weapons data in support of the Stockpile Stewardship Program. The 300,000-square-foot, vault-type building features an unobstructed 43,500-square-foot computer room, which is an open room about three-fourths the size of a football field. The Strategic Computing Complex (SCC) at the Los Alamos National Laboratory (LANL) is a secured supercomputing facility that supports the calculation, modeling, simulation, and visualization of complex nuclear weapons data in support of the Stockpile Stewardship Program. National Security

320

User experience design of complex systems  

E-Print Network (OSTI)

Over recent years, the global marketplace and its consumers have developed a mutual recognition for the rising prominence of design that delivers high quality user experience. For the provider of products and services, ...

Reily, Todd R. (Todd Richard)

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "recognition particle-receptor complex" 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

Simulating Complex Window Systems using BSDF Data  

E-Print Network (OSTI)

Simulating Complex Window Systems using BSDF Data MariaJune 2009 Simulating Complex Window Systems using BSDF Datathe performance of conventional window systems. Complex

Konstantoglou, Maria

2011-01-01T23:59:59.000Z

322

Parabolic flows on complex manifolds.  

E-Print Network (OSTI)

??We prove C ? convergence for suitably normalized solutions of the parabolic complex Monge-Ampre equation on compact Hermitian manifolds. This provides a parabolic proof of (more)

Gill, Matthew Franklin

2012-01-01T23:59:59.000Z

323

Complex higher order derivative theories  

SciTech Connect

In this work is considered a complex scalar field theory with higher order derivative terms and interactions. A procedure is developed to quantize consistently this system avoiding the presence of negative norm states. In order to achieve this goal the original real scalar high order field theory is extended to a complex space attaching a complex total derivative to the theory. Next, by imposing reality conditions the complex theory is mapped to a pair of interacting real scalar field theories without the presence of higher derivative terms.

Margalli, Carlos A.; Vergara, J. David [Instituto de Ciencias Nucleares, Universidad Nacional Autonoma de Mexico, Apartado Postal 70-543, Mexico 04510 DF (Mexico)

2012-08-24T23:59:59.000Z

324

Efficient scaling for complex division  

Science Conference Proceedings (OSTI)

We develop a simple method for scaling to avoid overflow and harmful underflow in complex division. The method guarantees that no overflow will occur unless at least one component of the quotient must overflow, otherwise the normwise error in the computed ... Keywords: Complex division, overflow, underflow

Douglas M. Priest

2004-12-01T23:59:59.000Z

325

A Map Of Geothermal Potential For The Great Basin, Usa- Recognition Of  

Open Energy Info (EERE)

Of Geothermal Potential For The Great Basin, Usa- Recognition Of Of Geothermal Potential For The Great Basin, Usa- Recognition Of Multiple Geothermal Environments Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Conference Paper: A Map Of Geothermal Potential For The Great Basin, Usa- Recognition Of Multiple Geothermal Environments Details Activities (8) Areas (4) Regions (0) Abstract: A 1:1,000,000 scale geothermal favorability map of the Great Basin is currently being published through the Nevada Bureau of Mines and Geology (NBMG) and is now available at the web site (http://www.unr.edu/geothermal/geothermal_gis2. htm) of the Great Basin Center for Geothermal Energy (GBCGE). This map allows for separate assessment of the potential for magmatically heated and extensional-type geothermal systems. Added to the map are temperature gradient wells from

326

Symmetric Phase-Only Matched Filtering of Fourier-Mellin Transforms for Image Registration and Recognition  

Science Conference Proceedings (OSTI)

Presents a new method to match a 2D image to a translated, rotated and scaled reference image. The approach consists of two steps: the calculation of a Fourier-Mellin invariant (FMI) descriptor for each image to be matched, and the matching of the FMI ... Keywords: 2D image matching, Fourier transforms, Fourier-Mellin invariant descriptor, Fourier-Mellin transforms, algorithm performance, discrete implementation, discriminating power, filtering theory, fingerprint identification, fingerprint recognition, image detection problems, image matching, image recognition, image registration, image translations, matched filters, medical image processing, medical imaging, multiobject identification, noise, object recognition, parameter space translations, remote sensing, robustness, rotated reference image, rotation, scaled reference image, symmetric phase-only matched filtering, translated reference image, translation invariance

Qin-sheng Chen; Michel Defrise; F. Deconinck

1994-12-01T23:59:59.000Z

327

Application of Freeman Chain Codes: An Alternative Recognition Technique for Malaysian Car Plates  

E-Print Network (OSTI)

Various applications of car plate recognition systems have been developed using various kinds of methods and techniques by researchers all over the world. The applications developed were only suitable for specific country due to its standard specification endorsed by the transport department of particular countries. The Road Transport Department of Malaysia also has endorsed a specification for car plates that includes the font and size of characters that must be followed by car owners. However, there are cases where this specification is not followed. Several applications have been developed in Malaysia to overcome this problem. However, there is still problem in achieving 100% recognition accuracy. This paper is mainly focused on conducting an experiment using chain codes technique to perform recognition for different types of fonts used in Malaysian car plates.

Jusoh, Nor Amizam

2011-01-01T23:59:59.000Z

328

Structural Insights into RNA Recognition by RIG-I  

Science Conference Proceedings (OSTI)

Intracellular RIG-I-like receptors (RLRs, including RIG-I, MDA-5, and LGP2) recognize viral RNAs as pathogen-associated molecular patterns (PAMPs) and initiate an antiviral immune response. To understand the molecular basis of this process, we determined the crystal structure of RIG-I in complex with double-stranded RNA (dsRNA). The dsRNA is sheathed within a network of protein domains that include a conserved 'helicase' domain (regions HEL1 and HEL2), a specialized insertion domain (HEL2i), and a C-terminal regulatory domain (CTD). A V-shaped pincer connects HEL2 and the CTD by gripping an {alpha}-helical shaft that extends from HEL1. In this way, the pincer coordinates functions of all the domains and couples RNA binding with ATP hydrolysis. RIG-I falls within the Dicer-RIG-I clade of the superfamily 2 helicases, and this structure reveals complex interplay between motor domains, accessory mechanical domains, and RNA that has implications for understanding the nanomechanical function of this protein family and other ATPases more broadly.

Luo, Dahai; Ding, Steve C.; Vela, Adriana; Kohlway, Andrew; Lindenbach, Brett D.; Pyle, Anna Marie (Yale)

2011-10-27T23:59:59.000Z

329

Oxoanion Recognition by Benzene-based Tripodal Pyrrolic Receptors  

SciTech Connect

Two new tripodal receptors based on pyrrole- and dipyrromethane-functionalised derivatives of a sterically geared precursor, 1,3,5-tris(aminomethyl)-2,4,6-triethylbenzene, are reported; these systems, compounds 1 and 2, display high affinity and selectivity for tetrahedral anionic guests, in particular dihydrogen phosphate, pyrophosphate and hydrogen sulphate, in acetonitrile as inferred from isothermal titration calorimetry measurements. Support for the anion-binding ability of these systems comes from theoretical calculations and a single-crystal X-ray diffraction structure of the 2:2 (host:guest) dihydrogen phosphate complex is obtained in the case of the pyrrole-based receptor system, 1. Keywords anion receptors, dihydrogen phosphate, hydrogen sulphate, X-ray structure, theoretical calculations.

Bill, Nathan [University of Texas, Austin; Kim, Dae-Sik [University of Texas, Austin; Kim, Sung Kuk [University of Texas, Austin; Park, Jung Su [University of Texas, Austin; Lynch, Vincent M. [University of Texas, Austin; Meisner, Mr. Jeffrey S. [University of Oregon; Young, Neil J [ORNL; Hay, Benjamin [ORNL; Anslyn, Eric [University of Texas, Austin; Sessler, Jonathan L. [University of Texas

2012-01-01T23:59:59.000Z

330

Substrate Recognition Strategy for Botulinum Neurotoxin Serotype A  

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

Mark A. Breidenbach1 and Axel T. Brunger2 Mark A. Breidenbach1 and Axel T. Brunger2 1Department of Molecular and Cellular Physiology and 2Howard Hughes Medical Institute and Departments of Molecular and Cellular Physiology, Neurology and Neurological Sciences and Stanford Synchrotron Radiation Laboratory, Stanford University, Stanford, California 94305, USA Clostridal neurotoxins (CNTs) are the causative agents of the neuroparalytic diseases botulism and tetanus1,2 CNTs impair neuronal exocytosis (a process by which neurotransmitter is released into a synapse) through specific proteolysis of essential proteins called SNAREs (soluble N-ethylmaleimide-sensitive factor attachment protein receptors)3. SNARE assembly into a low-energy ternary complex is believed to catalyse membrane fusion, precipitating neurotransmitter release; this process is attenuated in response to SNARE proteolysis4-7. Site-specific SNARE hydrolysis is catalysed by the CNT light chains, a unique group of zinc-dependent endopeptidases (enzymes that catalyse hydrolysis of peptide bonds within other proteins)3. The means by which a CNT properly identifies and cleaves its target SNARE has been a subject of much speculation; it is thought to use one or more regions of enzyme-substrate interaction remote from the active site (exosites)8-10. Using x-ray diffraction data collected in part at SSRL beamline 9-2, we have determined the first structure of a CNT endopeptidase in complex with its target SNARE at a resolution of 2.1 Å: botulinum neurotoxin serotype A (BoNT/A) protease bound to human SNAP-25. The structure, together with enzyme kinetic data, reveals an array of exosites that determine substrate specificity (figure 1).

331

Application of self organizing map approach to partial discharge pattern recognition of cast-resin current transformers  

Science Conference Proceedings (OSTI)

Partial discharge (PD) measurement and recognition is a significant tool for potential failure diagnosis of a power transformer. This paper proposes the application of self organizing map (SOM) approach to recognize partial discharge patterns of cast-resin ... Keywords: cast-resin current transformer, partial discharge, pattern recognition, self organizing map

Wen-Yeau Chang; Hong-Tzer Yang

2008-03-01T23:59:59.000Z

332

Invariant range image multi-pose face recognition using K-means, membership matching score and center of gravity search  

Science Conference Proceedings (OSTI)

In this paper, we propose the method to search the appropriate pose position for matching in invariant range image multi-pose face recognition system. The center of gravity search is used for searching pose position in range image face database (RIFD). ... Keywords: center of gravity and K- means, face range image, face recognition, geometric transformation, laser scan

Seri Pansang; Bang-On Makdee; Chom Kimpan

2006-07-01T23:59:59.000Z

333

A novel extension neural network based partial discharge pattern recognition method for high-voltage power apparatus  

Science Conference Proceedings (OSTI)

This paper proposes a novel partial discharge (PD) pattern recognition method based on extension neural network (ENN) using fractal features. Five types of defect models are well-designed on the base of investigation of power apparatus failures. A PD ... Keywords: Extension distance, Extension neural network, Fractal feature, Partial discharge, Pattern recognition

Hung-Cheng Chen; Feng-Chang Gu; Meng-Hui Wang

2012-02-01T23:59:59.000Z

334

A view-based real-time human action recognition system as an interface for human computer interaction  

Science Conference Proceedings (OSTI)

This paper describes a real-time human action recognition system that can track multiple persons and recognize distinct human actions through image sequences acquired from a single fixed camera. In particular, when given an image, the system segments ... Keywords: HCI, adaptive background subtraction, motion history image, view-based action recognition

Jin Choi; Yong-Il Cho; Taewoo Han; Hyun S. Yang

2007-09-01T23:59:59.000Z

335

Application of association rules mining to Named Entity Recognition and co-reference resolution for the Indonesian language  

Science Conference Proceedings (OSTI)

In this paper, we propose a new method, association rules mining for Named Entity Recognition (NER) and co-reference resolution. The method uses several morphological and lexical features such as Pronoun Class (PC) and Name Class ... Keywords: Indonesia, Indonesian language, NER, association rules mining, co-reference resolution, data mining, entity equivalence, information extraction, information retrieval, named entity recognition

Indra Budi; Stephane Bressan

2007-12-01T23:59:59.000Z

336

Video Human Motion Recognition Using a Knowledge-Based Hybrid Method Based on a Hidden Markov Model  

Science Conference Proceedings (OSTI)

Human motion recognition in video data has several interesting applications in fields such as gaming, senior/assisted-living environments, and surveillance. In these scenarios, we may have to consider adding new motion classes (i.e., new types of human ... Keywords: 3D motion capture, hidden Markov model, human-computer interaction, video human motion recognition

Myunghoon Suk; Ashok Ramadass; Yohan Jin; B. Prabhakaran

2012-05-01T23:59:59.000Z

337

Complexity science and intentional systems  

E-Print Network (OSTI)

In their position paper entitled "Towards a new, complexity science of learning and education", Jorg et al. (2007) argue that educational research is in crisis. In their opinion, the transdisciplinary and interdiscursive approach of complexity science with its orientation towards self-organization, emergence, and potentiality provides new modes of inquiry, a new lexicon and assessment practices that can be used to overcome the current crisis. In this contribution, I elaborate on how complexity science can further be developed for understanding the dynamics of intentions and the communication of meaning as these are central to the social-scientific enterprise.

Leydesdorff, Loet

2009-01-01T23:59:59.000Z

338

Conceptual Framework and Levels of Abstraction for a Complex Large-Scale System  

SciTech Connect

A conceptual framework and levels of abstraction are created to apply across all potential threats. Bioterrorism is used as a complex example to describe the general framework. Bioterrorism is unlimited with respect to the use of a specific agent, mode of dissemination, and potential target. Because the threat is open-ended, there is a strong need for a common, systemic understanding of attack scenarios related to bioterrorism. In recognition of this large-scale complex problem, systems are being created to define, design and use the proper level of abstraction and conceptual framework in bioterrorism. The wide variety of biological agents and delivery mechanisms provide an opportunity for dynamic scale changes by the linking or interlinking of existing threat components. Concurrent impacts must be separated and evaluated in terms of a given environment and/or abstraction framework.

Simpson, Mary J.

2005-03-23T23:59:59.000Z

339

Architecting complex systems for robustness  

E-Print Network (OSTI)

Robust design methodologies are frequently utilized by organizations to develop robust and reliable complex systems. The intent of robust design is to create systems that are insensitive to variations from production, the ...

Slagle, Jason C

2007-01-01T23:59:59.000Z

340

Mesoscale Convective Complexes in Africa  

Science Conference Proceedings (OSTI)

Digitized full-disk infrared satellite imagery from the European geostationary satellite (Meteosat) for 1986 and 1987 was used to construct a climatology of mesoscale convective complexes (MCCs) in Africa One hundred ninety-five systems formed ...

Arlene G. Laing; J. Michael Fritsch

1993-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "recognition particle-receptor complex" 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

Organizing Ecologies of Complex Innovation  

Science Conference Proceedings (OSTI)

For many sectors like health care, financial services, or renewable energy, new products and services are generated by an ecology of business firms, nonprofit foundations, public institutions, and other agents. Knowledge to innovate is dispersed across ... Keywords: complexity, ecologies, innovation

Deborah Dougherty; Danielle D. Dunne

2011-09-01T23:59:59.000Z

342

Complex Hydrides for Hydrogen Storage  

DOE Green Energy (OSTI)

This report describes research into the use of complex hydrides for hydrogen storage. The synthesis of a number of alanates, (AIH4) compounds, was investigated. Both wet chemical and mechano-chemical methods were studied.

Slattery, Darlene; Hampton, Michael

2003-03-10T23:59:59.000Z

343

Enhanced tracking and recognition of moving objects by reasoning about spatio-temporal continuity  

Science Conference Proceedings (OSTI)

A framework for the logical and statistical analysis and annotation of dynamic scenes containing occlusion and other uncertainties is presented. This framework consists of three elements; an object tracker module, an object recognition/classification ... Keywords: Continuity, Resolving ambiguity, Spatial reasoning, Temporal reasoning, Visual surveillance

Brandon Bennett; Derek R. Magee; Anthony G. Cohn; David C. Hogg

2008-01-01T23:59:59.000Z

344

STARS: Sign tracking and recognition system using input-output HMMs  

Science Conference Proceedings (OSTI)

STARS is a vision based real time gestural interface that allows both communicative and manipulative 3D hand gestures, which vary in motion and appearance, to control target generic personal computer applications. This input-output HMM based framework ... Keywords: Adaptive threshold model, Gesture spotting, HCI, HCRF, Hand gesture recognition, IOHMM

C. Keskin; L. Akarun

2009-09-01T23:59:59.000Z

345

Statistical data mining of streaming motion data for activity and fall recognition in assistive environments  

Science Conference Proceedings (OSTI)

The analysis of human motion data is interesting in the context of activity recognition or emergency event detection, especially in the case of elderly or disabled people living independently in their homes. Several techniques have been proposed for ... Keywords: Cumulative sum (CUSUM) algorithm, Fall detection, Streaming motion data, Visual data

S. K. Tasoulis; C. N. Doukas; V. P. Plagianakos; I. Maglogiannis

2013-05-01T23:59:59.000Z

346

Geometry and context for semantic correspondences and functionality recognition in man-made 3D shapes  

Science Conference Proceedings (OSTI)

We address the problem of automatic recognition of functional parts of man-made 3D shapes in the presence of significant geometric and topological variations. We observe that under such challenging circumstances, the context of a part within a 3D shape ... Keywords: 3D shape segmentation, graph kernels, shape correspondence, shape similarity

Hamid Laga, Michela Mortara, Michela Spagnuolo

2013-09-01T23:59:59.000Z

347

Wearable Hand Activity Recognition for Event Summarization W.W. Mayol D.W. Murray  

E-Print Network (OSTI)

Wearable Hand Activity Recognition for Event Summarization W.W. Mayol D.W. Murray Department­182, 1999. [10] W.W. Mayol, B. Tordoff, and D.W. Murray. Wearable vi- sual robots. In IEEE Int. Symposium on Wearable Computers, pages 95­102, 2000. [11] W.W. Mayol, B. Tordoff, and D.W. Murray. Designing a miniature

Murray, David

348

Graphical Framework for Action Recognition using Temporally Dense STIPs Pradeep Natarajan  

E-Print Network (OSTI)

Graphical Framework for Action Recognition using Temporally Dense STIPs Pradeep Natarajan BBN and recognize a se- quence of actions. More recently, Spatio-temporal Interest Points (STIPs) have been proposed hand, Bag-of-words approaches using Spatio- temporal Interest Points (STIP) as the basic features

Southern California, University of

349

Artificial recognition system for defective types of transformers by acoustic emission  

Science Conference Proceedings (OSTI)

An artificial recognition system of defective types for epoxy-resin transformers through acoustic emission (AE) from partial discharge (PD) experiment is proposed. PD detection is an efficient diagnosis method to prevent the failure of electric equipments ... Keywords: Acoustic emission, Neural network, Partial discharge, Particle swarm optimization, Transformer

Cheng-Chien Kuo

2009-09-01T23:59:59.000Z

350

Classification of total load demand profiles for war-ships based on pattern recognition methods  

Science Conference Proceedings (OSTI)

The classification of total load demand profiles for every type of war-ships is crucial information, because it is the necessary base for a series of studies and operations, such as load estimation, load shedding and power management systems. In this ... Keywords: adequacy measures, clustering algorithms, load profiles, pattern recognition, warship

G. J. Tsekouras; I. S. Karanasiou; F. D. Kanellos

2011-07-01T23:59:59.000Z

351

On accurate orientation extraction and appropriate distance measure for low-resolution palmprint recognition  

Science Conference Proceedings (OSTI)

Orientation feature has been demonstrated to be one of the most effective features for low resolution palmprint recognition. In this paper, using steerable filter, we investigate the accurate orientation extraction and appropriate distance measure problems ... Keywords: Distance measure, Feature extraction, Palmprint verification, Steerable filter

Wangmeng Zuo; Feng Yue; David Zhang

2011-04-01T23:59:59.000Z

352

Applying a Weighting Matrix to the Hierarchical Neural Network Model for Handwritten Thai Character Recognition  

Science Conference Proceedings (OSTI)

This paper proposes a new neural network approach to the off-line handwritten Thai character recognition. This new neural network is a hierarchical neural network; it employs the concept of a weighting matrix in measuring the similarity between the incoming ...

Arit Thammano; Patcharawadee Poolsamran

2006-11-01T23:59:59.000Z

353

Boosting-based ensemble learning with penalty setting profiles for automatic Thai unknown word recognition  

Science Conference Proceedings (OSTI)

A boosting-based ensemble learning can be used to improve classification accuracy by using multiple classification models constructing to cope with errors obtained from preceding steps. This paper presents an application of the boosting-based ensemble ... Keywords: boosting technique, data mining, ensemble learning, unknown word recognition, word boundary detection

Jakkrit TeCho; Cholwich Nattee; Thanaruk Theeramunkong

2010-11-01T23:59:59.000Z

354

Acoustic modeling problem for automatic speech recognition system: conventional methods (Part I)  

Science Conference Proceedings (OSTI)

In automatic speech recognition (ASR) systems, the speech signal is captured and parameterized at front end and evaluated at back end using the statistical framework of hidden Markov model (HMM). The performance of these systems depend critically on ... Keywords: ASR, Acoustic models, Back end, Front end, Gaussian mixtures, HMM

Rajesh Kumar Aggarwal; Mayank Dave

2011-12-01T23:59:59.000Z

355

Algorithm Recognition based on Demand-Driven Dataflow Analysis Christophe Alias  

E-Print Network (OSTI)

an error. ¡ Hardware-software codesign: if we recognize in the source program a piece of code for which we have a hardware implementation (e.g. as a coprocessor or an Intellectual Property component) we can remove the code and replace it by an activation of the hardware. Simple cases of algorithm recognition

Alias, Christophe

356

Operation Pattern Recognition and Control for Super Capacitor Braking Energy Regeneration System of Micro EV  

Science Conference Proceedings (OSTI)

Super capacitor has some advantages of high charge-discharge rate, long life, simple structure and reliable performance, and it is especially suitable as braking energy renewable energy storage device for electric vehicle and hybrid electric vehicle. ... Keywords: Super capacitor, braking energy regeneration, micro EV, pattern recognition and control

Jinyu Qu; Liyan Liang; Zhongyu Yang

2009-12-01T23:59:59.000Z

357

Large scale continuous visual event recognition using max-margin Hough transformation framework  

Science Conference Proceedings (OSTI)

In this paper we propose a novel method for continuous visual event recognition (CVER) on a large scale video dataset using max-margin Hough transformation framework. Due to high scalability, diverse real environmental state and wide scene variability ... Keywords: Continuous visual event, Event detection, Large scale, Max-margin Hough transform

Bhaskar Chakraborty, Jordi Gonzlez, F. Xavier Roca

2013-10-01T23:59:59.000Z

358

Foreword to the Special Issue on Pattern Recognition in Remote Sensing  

E-Print Network (OSTI)

1 Foreword to the Special Issue on Pattern Recognition in Remote Sensing The constant increase in the amount of remotely sensed images as well as the urgent need for the extraction of useful information from techniques to unsolved problems in remote sensing image analysis that cannot be handled by using traditional

Aksoy, Selim

359

Recognition of two-dimensional representation of urban environment for autonomous flying agents  

Science Conference Proceedings (OSTI)

In this paper the problem of a vision system implementation for autonomous flying agents is considered in the context of industrial inspection tasks performed by unmanned aerial vehicles. A syntactic algorithm of a two-dimensional object vectorization ... Keywords: Autonomous flying agents, Object recognition, Syntactic languages, Vectorization

Andrzej Bielecki; Tomasz Buratowski; Piotr Migielski

2013-07-01T23:59:59.000Z

360

An Introduction to Interactive Discourse Processing from thePerspective of Plan Recognition and Text Planning  

Science Conference Proceedings (OSTI)

People engage in task-oriented dialogues to carry out or plan a task. Each participant in such an interaction must be capable of processing plans in two ways. First, each participant must be capable of understanding the plans that the other participant ... Keywords: natural language interaction, plan recognition, text planning

Susan Haller

1999-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "recognition particle-receptor complex" 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

Geomagnetic Precursor Z Component Diurnal Variation Phase Anomaly Recognition based on the Pattern Distance  

Science Conference Proceedings (OSTI)

Geomagnetic precursor is one of many earthquake precursors, which have better effects on earthquake prediction, while the diurnal variation anomaly of geomagnetic precursor Z component is an important one in short-impending anomalies. Basing on the pattern ... Keywords: Geomagnetic Precursor, Diurnal Variation, Pattern Distance, Anomaly Recognition

Shaochun Wu; Tongyu Yuan; Yan Tang; Bofeng Zhang; Daming Wei

2010-06-01T23:59:59.000Z

362

Face and body gesture recognition for a vision-based multimodal analyzer  

Science Conference Proceedings (OSTI)

For the computer to interact intelligently with human users, computers should be able to recognize emotions, by analyzing the human's affective state, physiology and behavior. In this paper, we present a survey of research conducted on face and body ... Keywords: affective HCI, facial expression, gesture, multimodal interface, recognition

Hatice Gunes; Massimo Piccardi; Tony Jan

2004-06-01T23:59:59.000Z

363

Learning Viewpoint Planning in Active Recognition on a Small Sampling Budget: a Kriging Approach  

E-Print Network (OSTI)

of this work is to extend the Q-learning to viewpoint planning when Monte-Carlo estimations are too costly. We recognition is a field of great interest for an autonomous vehicle, named agent in what follows, equipped-learning [4], [5] derives from the mathematical framework of Markov Decision Processes [6]. A classical way

Paris-Sud XI, Université de

364

Non-stationary power signal processing for pattern recognition using HS-transform  

Science Conference Proceedings (OSTI)

A new approach to time-frequency transform and pattern recognition of non-stationary power signals is presented in this paper. In the proposed work visual localization, detection and classification of non-stationary power signals are achieved using hyperbolic ... Keywords: Fuzzy C-means clustering, Genetic algorithm, HS-transform, Non-stationary power signals, Power quality (PQ)

B. Biswal; P. K. Dash; B. K. Panigrahi

2009-01-01T23:59:59.000Z

365

Multi-modal user interaction method based on gaze tracking and gesture recognition  

Science Conference Proceedings (OSTI)

This paper presents a gaze tracking technology which provides a convenient human-centric interface for multimedia consumption without any wearable device. It enables a user to interact with various multimedia on a large display in distance by tracking ... Keywords: Gaze tracking, Gesture recognition, MPEG-U, MPEG-V, User interface

Heekyung Lee; Seong Yong Lim; Injae Lee; Jihun Cha; Dong-Chan Cho; Sunyoung Cho

2013-02-01T23:59:59.000Z

366

A New Pattern Recognition Adaptive Controller with Application to HVAC Systems  

Science Conference Proceedings (OSTI)

This paper describes a novel method for automatically adjusting the gain and integral time of proportional-integral controllers based upon patterns that characterize the closed-loop response. The method was developed for self-regulating systems that ... Keywords: Adaptive control, PI controllers, control applications, energy control, heat exchangers, pattern recognition, pressure control

John E. Seem

1998-08-01T23:59:59.000Z

367

Capacitive sensor-based hand gesture recognition in ambient intelligence scenarios  

Science Conference Proceedings (OSTI)

Input devices based on arrays of capacitive proximity sensors allow the tracking of a user's hands in three dimensions. They can be hidden behind materials such as wood, wool or plastics without limiting their functionality, making them ideal for application ... Keywords: ambient intelligence, capacitive proximity sensors, gesture recognition, input devices, smart environments, user interfaces

Andreas Braun, Tim Dutz, Felix Kamieth

2013-05-01T23:59:59.000Z

368

Decremental learning of evolving fuzzy inference systems: application to handwritten gesture recognition  

Science Conference Proceedings (OSTI)

This paper tackles the problem of incremental and decremental learning of an evolving and customizable fuzzy inference system for classification. We explain the interest of integrating a forgetting capacity in such an evolving system to improve its performances ... Keywords: concept drifts; forgetting, decremental learning, evolving fuzzy inference system, handwriting recognition, incremental learning, online classification, recursive least squares

Manuel Bouillon, Eric Anquetil, Abdullah Almaksour

2013-07-01T23:59:59.000Z

369

3D gesture recognition: an evaluation of user and system performance  

Science Conference Proceedings (OSTI)

We report a series of empirical studies investigating gesture as an interaction technique in pervasive computing. In our first study, participants generated gestures for given tasks and from these we identified archetypal common gestures. Furthermore, ... Keywords: 3D gesture recognition, gestural interaction

Michael Wright; Chun-Jung Lin; Eamonn O'Neill; Darren Cosker; Peter Johnson

2011-06-01T23:59:59.000Z

370

Dynamic signal segmentation for activity recognition Simon Kozina, Mitja Lustrek, Matjaz Gams  

E-Print Network (OSTI)

of the Ninth IEEE International Symposium on Wearable Computers, pages 160­163, Washington, DC, USA, 2005. IEEE International Symposium on Wearable Computers, ISWC '04, pages 188­189, Washington, DC, USA, 2004. IEEE Computer sliding window method. 1 Introduction Activity recognition using on-body sensors is required for many

Lu?trek, Mitja

371

Development of Pattern Recognition Software for Tracks of Ionizing Radiation In Medipix2-Based  

E-Print Network (OSTI)

, and area monitors to characterize the general background radiation environment harmful to humansDevelopment of Pattern Recognition Software for Tracks of Ionizing Radiation In Medipix2-Based tool for the automated identification and classification of tracks of ionizing radiation as measured

Vilalta, Ricardo

372

A novel human computer interface based on hand gesture recognition using computer vision techniques  

Science Conference Proceedings (OSTI)

In daily life, human beings communicate with each other and use broad range of gestures in the process of interaction. Apart of the interpersonal communication, many hours are spent in the interaction with the electronic devices. In the last decade, ... Keywords: gesture, human computer interface, media player, recognition

Siddharth Swarup Rautaray; Anupam Agrawal

2010-12-01T23:59:59.000Z

373

Audemes at work: Investigating features of non-speech sounds to maximize content recognition  

Science Conference Proceedings (OSTI)

To access interactive systems, blind users can leverage their auditory senses by using non-speech sounds. The structure of existing non-speech sounds, however, is geared toward conveying atomic operations at the user interface (e.g., opening a file) ... Keywords: Acoustic, Audeme, Blind, Non-speech sound, Recognition, Visually impaired

Mexhid Ferati; Mark S. Pfaff; Steve Mannheimer; Davide Bolchini

2012-12-01T23:59:59.000Z

374

Development of Book Remote Browsing System Object Posture Recognition for Book Manipulation  

E-Print Network (OSTI)

/ , 21 Development of Book Remote Browsing System ­ Object Posture Recognition for Book remote objects. A human uses the system to browse a book of a library from a remote location via the Internet. We propose an efficient method of recognizing books of any posture and planning

Ohya, Akihisa

375

Special Section on 3D Object Retrieval: Efficient 3D object recognition using foveated point clouds  

Science Conference Proceedings (OSTI)

Recent hardware technologies have enabled acquisition of 3D point clouds from real world scenes in real time. A variety of interactive applications with the 3D world can be developed on top of this new technological scenario. However, a main problem ... Keywords: 3D object recognition, Moving fovea, Point cloud

Rafael Beserra Gomes, Bruno Marques Ferreira Da Silva, Lourena Karin De Medeiros Rocha, Rafael Vidal Aroca, Luiz Carlos Pacheco Rodrigues Velho, Luiz Marcos Garcia GonAlves

2013-08-01T23:59:59.000Z

376

Determination of Rainfall Rates from GOES Satellite Images by a Pattern Recognition Technique  

Science Conference Proceedings (OSTI)

Radiances from clouds observed in visible and infrared images obtained from the SMS-2, GOES-2, and GOES-4 satellites have been used to estimate rainfall by means of a pattern recognition algorithm that was applied to single images. The algorithm ...

Rongzhang Wu; James A. Weinman; Roland T. Chin

1985-09-01T23:59:59.000Z

377

Rejection of non-meaningful activities for HMM-based activity recognition system  

Science Conference Proceedings (OSTI)

This paper presents a new test to distinguish between meaningful and non-meaningful HMM-modeled activity patterns in human activity recognition systems. Operating as a hypothesis test, alternative models are generated from available classes and the decision ... Keywords: Hidden Markov model, Likelihood ratio test, Pairwise likelihood ratio test, Pattern spotting

Xiao-Hui Liu; Chin-Seng Chua

2010-06-01T23:59:59.000Z

378

Human Postures Recognition Based on D-S Evidence Theory and Multi-sensor Data Fusion  

Science Conference Proceedings (OSTI)

Body Sensor Networks (BSNs) are conveying notable attention due to their capabilities in supporting humans in their daily life. In particular, real-time and noninvasive monitoring of assisted livings is having great potential in many application domains, ... Keywords: Body sensor networks, D-S Evidence Theory, wearable sensors, human postures recognition

Wenfeng Li; Junrong Bao; Xiuwen Fu; Giancarlo Fortino; Stefano Galzarano

2012-05-01T23:59:59.000Z

379

Comparison of HMM and DTW for isolated word recognition system of Punjabi language  

Science Conference Proceedings (OSTI)

Issue of speech interface to computer has been capturing the global attention because of convenience put forth by it. Although speech recognition is not a new phenomenon in existing developments of user-machine interface studies but the highlighted facts ... Keywords: Punjabi language, dynamic programming (DP), dynamic time warp (DTW), hidden markov model (HMM), linear predictive coding (LPC), vector quantization (VQ)

Kumar Ravinder

2010-11-01T23:59:59.000Z

380

Original article A RT-PCR assay for the rapid recognition  

E-Print Network (OSTI)

Original article A RT-PCR assay for the rapid recognition of border disease virus* Sltefan VILC l) Abstract ­ A reverse transcription ­ polymerase chain reaction (RT-PCR) method was developed it was shown to be BDV-specific. A closed, one-tube nested RT-PCR method employ- ing general pestivirus outer

Recanati, Catherine

Note: This page contains sample records for the topic "recognition particle-receptor complex" 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

Objective measures, sensors and computational techniques for stress recognition and classification: A survey  

Science Conference Proceedings (OSTI)

Stress is a major growing concern in our day and age adversely impacting both individuals and society. Stress research has a wide range of benefits from improving personal operations, learning, and increasing work productivity to benefiting society - ... Keywords: Computational stress model, Pattern recognition, Stress classification, Stress computational techniques, Stress prediction, Stress sensors

Nandita Sharma; Tom Gedeon

2012-12-01T23:59:59.000Z

382

A Comparative Study between Decision Fusion and Data Fusion in Markovian Printed Character Recognition  

Science Conference Proceedings (OSTI)

A comparison is made between several Hidden Markov Models in the context of printed character recognition. Two HMMs are first compared, one dealing with columns of a character image, the other dealing with lines. These 2 HMMs are then associated in a ...

Khalid Hallouli; Laurence Likforman-Sulem; Marc Sigelle

2002-08-01T23:59:59.000Z

383

A real time Named Entity Recognition system for Arabic text mining  

Science Conference Proceedings (OSTI)

Arabic is the most widely spoken language in the Arab World. Most people of the Islamic World understand the Classic Arabic language because it is the language of the Qur'an. Despite the fact that in the last decade the number of Arabic Internet users ... Keywords: Arabic language, Event detection, Morphological analysis, Named Entity Recognition, Root extraction, Text mining

Harith Al-Jumaily; Paloma Martnez; Jos L. Martnez-Fernndez; Erik Goot

2012-12-01T23:59:59.000Z

384

Invariants of Families of Coplanar Conics and Their Applicationsto Object Recognition  

Science Conference Proceedings (OSTI)

This paper presents mutual invariants of families of coplanar conics. These invariants are compared with the use of invariants of two conics and a case is presented where the proposed invariants have a greater discriminating power than the previously used ... Keywords: Segre characteristics, conics, invariants, lambda matrices, object recognition

Douglas R. Heisterkamp; Prabir Bhattacharya

1997-06-01T23:59:59.000Z

385

2007 Special Issue: Automatic speech recognition using a predictive echo state network classifier  

Science Conference Proceedings (OSTI)

We have combined an echo state network (ESN) with a competitive state machine framework to create a classification engine called the predictive ESN classifier. We derive the expressions for training the predictive ESN classifier and show that the model ... Keywords: Automatic speech recognition, Echo state network, Mixture of experts, Noise robustness

Mark D. Skowronski; John G. Harris

2007-04-01T23:59:59.000Z

386

An Intercommunication Home Energy Management System with Appliance Recognition in Home Network  

Science Conference Proceedings (OSTI)

In present days there are wide varieties of household electric appliances along with different power consumption habits of consumers, making identifying electric appliances without presetting difficulty. This paper introduces smart appliance management ... Keywords: appliance recognition, home energy management, smart appliance management system

Ying-Xun Lai; Joel Jos Rodrigues; Yueh-Min Huang; Hong-Gang Wang; Chin-Feng Lai

2012-02-01T23:59:59.000Z

387

Event recognition using signal spectrograms in long pulse experiments  

Science Conference Proceedings (OSTI)

As discharge duration increases, real-time complex analysis of the signal becomes more important. In this context, data acquisition and processing systems must provide models for designing experiments which use event oriented plasma control. One example of advanced data analysis is signal classification. The off-line statistical analysis of a large number of discharges provides information to develop algorithms for the determination of the plasma parameters from measurements of magnetohydrodinamic waves, for example, to detect density fluctuations induced by the Alfven cascades using morphological patterns. The need to apply different algorithms to the signals and to address different processing algorithms using the previous results necessitates the use of an event-based experiment. The Intelligent Test and Measurement System platform is an example of architecture designed to implement distributed data acquisition and real-time processing systems. The processing algorithm sequence is modeled using an event-based paradigm. The adaptive capacity of this model is based on the logic defined by the use of state machines in SCXML. The Intelligent Test and Measurement System platform mixes a local multiprocessing model with a distributed deployment of services based on Jini.

Gonzalez, J.; Ruiz, M.; Barrera, E.; Arcas, G.; Lopez, J. M. [Grupo I2A2, Universidad Politecnica de Madrid, Ctra Valencia Km. 7, Madrid 28031 (Spain); Vega, J. [Asociacion EURATOM/CIEMAT para Fusion, Avda Complutense 22, Madrid 28040 (Spain)

2010-10-15T23:59:59.000Z

388

Recognition and Specificity Determinants of the Human Cbx Chromodomains  

Science Conference Proceedings (OSTI)

The eight mammalian Cbx proteins are chromodomain-containing proteins involved in regulation of heterochromatin, gene expression, and developmental programs. They are evolutionarily related to the Drosophila HP1 (dHP1) and Pc (dPc) proteins that are key components of chromatin-associated complexes capable of recognizing repressive marks such as trimethylated Lys-9 and Lys-27, respectively, on histone H3. However, the binding specificity and function of the human homologs, Cbx1-8, remain unclear. To this end we employed structural, biophysical, and mutagenic approaches to characterize the molecular determinants of sequence contextual methyllysine binding to human Cbx1-8 proteins. Although all three human HP1 homologs (Cbx1, -3, -5) replicate the structural and binding features of their dHP counterparts, the five Pc homologs (Cbx2, -4, -6, -7, -8) bind with lower affinity to H3K9me3 or H3K27me3 peptides and are unable to distinguish between these two marks. Additionally, peptide permutation arrays revealed a greater sequence tolerance within the Pc family and suggest alternative nonhistone sequences as potential binding targets for this class of chromodomains. Our structures explain the divergence of peptide binding selectivity in the Pc subfamily and highlight previously unrecognized features of the chromodomain that influence binding and specificity.

Kaustov, Lilia; Ouyang, Hui; Amaya, Maria; Lemak, Alexander; Nady, Nataliya; Duan, Shili; Wasney, Gregory A.; Li, Zhihong; Vedadi, Masoud; Schapira, Matthieu; Min, Jinrong; Arrowsmith, Cheryl H. (Toronto); (OCI)

2011-08-17T23:59:59.000Z

389

Human activity recognition in indoor environments by means of fusing information extracted from intensity of WiFi signal and accelerations  

Science Conference Proceedings (OSTI)

In this work, we propose an activity recognition system based on the use of a topology-based WiFi localization system combined with accelerometers for body posture recognition. The WiFi localization system is developed using a fuzzy rule-based classifier ... Keywords: Fuzzy logic, Human activity recognition, Interpretability-accuracy trade-off

Alberto Alvarez-Alvarez; Jose M. Alonso; Gracian Trivino

2013-06-01T23:59:59.000Z

390

Complex Queries | Open Energy Information  

Open Energy Info (EERE)

Complex Queries Complex Queries < User:Jweers Jump to: navigation, search Contents 1 Using Nested Queries 1.1 Programs 2 Using Inverse Property Ask Query 3 Using Wildcards Plus Array Print with Count 3.1 States start with A (4) Using Nested Queries Complex Help:Inline queries are queries which involve multiple subjects, properties, or nested queries. The following is an example of a nested query which will return only Programs (Category:Programs) in the Energy Sector (Property:ProgramSector = Energy) within the subsector of Wind (Property:Sector = Wind) which have been developed by National Labs (Category:United States Department of Energy National Laboratories). The last piece mentioned is where the nested query comes into play. To find Programs which have been developed by National Labs, we must search the

391

Albuquerque Complex | National Nuclear Security Administration  

National Nuclear Security Administration (NNSA)

Complex http:www.doeal.gov The Albuquerque Complex provides responsive business, technical, financial, legal, and management advice and services to successfully accomplish the...

392

Complexity and approximability of certain bicriteria location problems  

SciTech Connect

We investigate the complexity and approximability of some location problems when two distance values are specified for each pair of potential sites. These problems involve the selection of a specified number of facilities (i.e. a placement of a specified size) to minimize a function of one distance metric subject to a budget constraint on the other distance metric. Such problems arise in several application areas including statistical clustering, pattern recognition and load-balancing in distributed systems. We show that, in general, obtaining placements that are near-optimal with respect to the first distance metric is NP-hard even when we allow the budget constraint on the second distance metric to be violated by a constant factor. However, when both the distance metrics satisfy the triangle inequality, we present approximation algorithms that produce placements which are near-optimal with respect to the first distance metric while violating the budget constraint only by a small constant factor. We also present polynomial algorithms for these problems when the underlying graph is a tree.

Krumke, S.O.; Noltemeier, H. [Wuerzburg Univ. (Germany); Ravi, S.S. [State Univ. of New York, Albany, NY (United States); Marathe, M.V. [Los Alamos National Lab., NM (United States)

1995-10-01T23:59:59.000Z

393

Quantum Computational Complexity John Watrous  

E-Print Network (OSTI)

Quantum Computational Complexity John Watrous Institute for Quantum Computing and School of the subject and its importance II. Introduction III. The quantum circuit model IV. Polynomial-time quantum computations V. Quantum proofs VI. Quantum interactive proof systems VII. Other selected notions in quantum

Watrous, John

394

Structures of GRP94-Nucleotide Complexes Reveal Mechanistic Differences  

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

Structures of GRP94-Nucleotide Structures of GRP94-Nucleotide Complexes Reveal Mechanistic Differences between the Hsp90 Chaperones Life depends on the biochemical activity of the thousands of proteins that inhabit and decorate the surface of every one of our cells. Proteins themselves, although simple linear combinations of the twenty amino acids, derive their remarkable properties from the complex three-dimensional structures into which they fold. In this way, enzyme active sites are created, protein-protein recognition surfaces are formed, and the chemistry of life is set in motion. Although in principle the precise three-dimensional structure for each protein is encoded in its linear chain of amino acids, in practice it is often difficult or impossible for a protein to achieve this final fold on its own in the context of a cellular environment that is packed to the gills with millions of other proteins, nucleic acids, carbohydrates, lipids, and other small molecules. As a result, cells have evolved a corps of proteins known as molecular chaperones that assist newly synthesized proteins as they adopt their active fold. One such family of chaperones is known as the hsp90 family (Pratt and Toft, 2003). "Client" proteins of the hsp90 family are diverse, and their functions range from signal transduction to immune response. Specific inhibitors of hsp90 chaperones exhibit potent anti-tumor activity (Chiosis et al., 2006; Sharp and Workman, 2006), showing that preventing the proper folding of client proteins, many of which are implicated in cancer, can have profound therapeutic implications.

395

Comparing Shape and Texture Features for Pattern Recognition in Simulation Data  

SciTech Connect

Shape and texture features have been used for some time for pattern recognition in datasets such as remote sensed imagery, medical imagery, photographs, etc. In this paper, we investigate shape and texture features for pattern recognition in simulation data. In particular, we explore which features are suitable for characterizing regions of interest in images resulting from fluid mixing simulations. Three texture features--gray level co-occurrence matrices, wavelets, and Gabor filters--and two shape features--geometric moments and the angular radial transform--are compared. The features are evaluated using a similarity retrieval framework. Our preliminary results indicate that Gabor filters perform the best among the texture features and the angular radial transform performs the best among the shape features. The feature which performs the best overall is dependent on how the groundtruth dataset is created.

Newsam, S; Kamath, C

2004-12-10T23:59:59.000Z

396

Biological named entity recognition using n-grams and classification methods  

E-Print Network (OSTI)

We propose a biological named entity recognition system which uses classification methods and a n-gram model to annotate terms in text. A novel method is presented to express lexical features in a pattern notation. Prefix and suffix characters are used instead of lists of potential terms or other external resources. Creating classification exemplars is conducted from text by using a word n-gram model. We evaluate our system based on the GE-NIA version 3.02 corpus which contains 2,000 paper abstracts. The system obtains an 0.705 F-score on exact match term performance. Biological concept markers are also assigned to each located term indicating its meaning. Our system retains simplicity and generalizability. Key words: Biological named entity recognition, information extraction, word n-gram, and classification algorithms 1

Sittichai Jiampojamarn; Nick Cercone

2005-01-01T23:59:59.000Z

397

Honors and Recognition | OSTI, US Dept of Energy, Office of Scientific and  

Office of Scientific and Technical Information (OSTI)

Honors and Recognition Honors and Recognition 2012 January 2012 - CENDI Meritorious Award for FY11 2011 March 2011 - OSTI honored with Anderson County Combined Federal Campaign Awards 2010 December 2010 - White House recognizes ScienceEducation.gov August 2010 - OSTIblog cited as a Top Government Blog 2009 December 2009 - OSTI clears path for finding many of world's highly-ranked research repositories, new rankings show October 2009 - OSTI Director Is Keynote Speaker for ILDS Conference July 2009 - GCN: Science.gov already "meeting and exceeding" new administration's transparency goals July 2009 - OSTI "special collection" highlighted in the Bulletin of IEEE Technical Committee on Digital Libraries 2007 December 2007 - OSTI cited as Web site "on the right track"

398

A wlan scheduling algorithm to reduce the energy consumption of a distributed speech recognition system  

E-Print Network (OSTI)

In distributed speech recognition, speech features are computed on a mobile device, compressed, and sent to a server that performs the computationally intensive search for the most likely word sequence. Much of the current research in distributed speech recognition has been in the area of feature compression and communication robustness over wireless links, including error correction and concealment techniques. However, another challenge in designing a distributed speech recognition system is minimizing the energy consumption on the mobile device. We consider quality-of-service tradeoffs including compression ratio and overall system latency. Our measurements verify that for high speed wireless interfaces such as 802.11b, small changes in compression rates have little effect on system level energy consumption. However, for wireless networks with lower power/bit-rate ratios such as Bluetooth, the choice of bit-rate and compression ratio becomes more important. We present a wireless LAN scheduling algorithm to minimize the energy consumption of a distributed speech recognition front-end on a mobile device. By powering down the 802.11b interface when not in use, we are able to reduce the energy consumption by up to a factor of 5 in heavy traffic conditions. Increasing the total amount of time spent in the off state to almost one second will allow the system to save power regardless of traffic conditions. We compare the results of this power saving algorithm to the low-power mechanisms of Bluetooth. The lower overhead of Bluetooth allows for greater energy savings with a much lower delay of approximately 300ms. 1.

Brian Delaney; Nikil Jayant

2003-01-01T23:59:59.000Z

399

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

400

Security training symposium: Meeting the challenge: Firearms and explosives recognition and detection  

SciTech Connect

These conference proceedings have been prepared in support of the US Nuclear Regulatory Commission's Security Training Symposium on Meeting the Challenge -- Firearms and Explosives Recognition and Detection,'' November 28 through 30, 1989, in Bethesda, Maryland. This document contains the edited transcripts of the guest speakers. It also contains some of the speakers' formal papers that were distributed and some of the slides that were shown at the symposium (Appendix A).

1990-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "recognition particle-receptor complex" 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

Security training symposium: Meeting the challenge: Firearms and explosives recognition and detection  

SciTech Connect

These conference proceedings have been prepared in support of the US Nuclear Regulatory Commission's Security Training Symposium on Meeting the Challenge -- Firearms and Explosives Recognition and Detection,'' November 28 through 30, 1989, in Bethesda, Maryland. This document contains the edited transcripts of the guest speakers. It also contains some of the speakers' formal papers that were distributed and some of the slides that were shown at the symposium (Appendix A).

Not Available

1990-09-01T23:59:59.000Z

402

Consolidated Manufacturing Complex | Y-12 National Security Complex  

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

Consolidated Manufacturing ... Consolidated Manufacturing ... Consolidated Manufacturing Complex An integral part of Y-12's transformation, the Consolidated Manufacturing Complex will fulfill the NNSA mission of placing production processes in right-sized, modern facilities. The CMC will consolidate several mission-critical processes required to meet Y-12 customer needs. Updating processing methods and right-sizing the facility will mean a significant reduction, projected at more than 250,000 square feet, in the footprint. CMC will eliminate several 40- to 65-year-old facilities and alleviate concerns associated with aged facilities built to different codes and standards. Functions being evaluated for inclusion in CMC are lithium operations, general machining operations, depleted uranium operations and deuterium

403

ICSI'S 2005 SPEAKER RECOGNITION SYSTEM Nikki Mirghafori, Andrew O. Hatch, Steven Stafford, Kofi Boakye, Daniel Gillick, and Barbara Peskin  

E-Print Network (OSTI)

ICSI'S 2005 SPEAKER RECOGNITION SYSTEM Nikki Mirghafori, Andrew O. Hatch, Steven Stafford, Kofi://htk.eng.cam.ac.uk/. [6] D. Gillick, S. Stafford, and B. Peskin. Speaker detection without models. In ICASSP, pages I­757

Mirghafori, N. Nikki

404

A fast tree?trellis search for finding the N?best sentence hypotheses in continuous speech recognition  

Science Conference Proceedings (OSTI)

In this paper a treetrellis?based fast search for finding the N?best sentence hypotheses in continuous speech recognition is proposed. The search consists of two parts: a forward

Frank K. Soong; Eng?Fong Huang

1990-01-01T23:59:59.000Z

405

A Simple Technique for Multiple-Parameter Pattern Recognition with an Example of Locating Fronts in Model Output  

Science Conference Proceedings (OSTI)

A statistical pattern recognition technique called IREW is described. IREW has several strengths, such as fast execution, small storage requirements, and increments learning, that may make the technique useful for many meteorological pattern ...

Steven S. Fine; Alistair B. Fraser

1990-12-01T23:59:59.000Z

406

1: Redox chemistry of bimetallic fulvalene complexes; 2: Oligocyclopentadienyl complexes  

Science Conference Proceedings (OSTI)

The electrochemistry of the heterobimetallic complexes (fulvalene)WFe(CO){sub 5} (30) and (fulvalene)WRu(CO){sub 5} (31) has been investigated. Compound 30 is reduced in two one-electron processes, and this behavior was exploited synthetically to prepare a tetranuclear dimer by selective metal reduction. Complex 31 displayed a distinction between the metals upon reoxidation of the dianion, allowing the formation of a dimer by selective metal anion oxidation. The redox behavior of 30 led to an investigation of the use of electrocatalysis to effect metal-specific ligand substitution. It was found that reduction of 30 with a catalytic amount of CpFe(C{sub 6}Me{sub 6}) (97) in the presence of excess P(OMe){sub 3} or PMe{sub 3} led to the formation of the zwitterions (fulvalene)[W(CO){sub 3}{sup {minus}}][Fe(CO)PR{sub 3}{sup +}] (107, R = P(OMe){sub 3}; 108, R = PMe{sub 3}). Compound 31 also displayed unique behavior with different reducing agents, as the monosubstituted zwitterion (fulvalene)[W(CO){sub 3}{sup {minus}}][Ru(CO){sub 2}(PMe{sub 3}){sup +}] was obtained when 97 was used while the disubstituted complex (fulvalene) [W(CO){sub 3}{sup {minus}}] [Ru(CO)(PMe{sub 3}){sub 2}{sup +}] was produced when Cp*Fe(C{sub 6}Me{sub 6}) was the catalyst. Potential synthetic routes to quatercyclopentadienyl complexes were also explored. Various attempts to couple heterobimetallic fulvalene compounds proved to be unsuccessful. 138 refs.

Brown, D.S. [Univ. of California, Berkeley, CA (United States). Dept. of Chemistry]|[Lawrence Berkeley Lab., CA (United States). Chemical Sciences Div.

1993-11-01T23:59:59.000Z

407

Line-Based Object Recognition using Hausdorff Distance: From Range Images to Molecular Secondary Structure  

SciTech Connect

Object recognition algorithms are fundamental tools in automatic matching of geometric shapes within a background scene. Many approaches have been proposed in the past to solve the object recognition problem. Two of the key aspects that distinguish them in terms of their practical usability are: (i) the type of input model description and (ii) the comparison criteria used. In this paper we introduce a novel scheme for 3D object recognition based on line segment representation of the input shapes and comparison using the Hausdor distance. This choice of model representation provides the flexibility to apply the scheme in different application areas. We define several variants of the Hausdor distance to compare the models within the framework of well defined metric spaces. We present a matching algorithm that efficiently finds a pattern in a 3D scene. The algorithm approximates a minimization procedure of the Hausdor distance. The output error due to the approximation is guaranteed to be within a known constant bound. Practical results are presented for two classes of objects: (i) polyhedral shapes extracted from segmented range images and (ii) secondary structures of large molecules. In both cases the use of our approximate algorithm allows to match correctly the pattern in the background while achieving the efficiency necessary for practical use of the scheme. In particular the performance is improved substantially with minor degradation of the quality of the matching.

Guerra, C; Pascucci, V

2004-12-13T23:59:59.000Z

408

Gaze Estimation for Off-Angle Iris Recognition Based on the Biometric Eye Model  

SciTech Connect

Iris recognition is among the highest accuracy biometrics. However, its accuracy relies on controlled high quality capture data and is negatively affected by several factors such as angle, occlusion, and dilation. Non-ideal iris recognition is a new research focus in biometrics. In this paper, we present a gaze estimation method designed for use in an off-angle iris recognition framework based on the ANONYMIZED biometric eye model. Gaze estimation is an important prerequisite step to correct an off-angle iris images. To achieve the accurate frontal reconstruction of an off-angle iris image, we first need to estimate the eye gaze direction from elliptical features of an iris image. Typically additional information such as well-controlled light sources, head mounted equipment, and multiple cameras are not available. Our approach utilizes only the iris and pupil boundary segmentation allowing it to be applicable to all iris capture hardware. We compare the boundaries with a look-up-table generated by using our biologically inspired biometric eye model and find the closest feature point in the look-up-table to estimate the gaze. Based on the results from real images, the proposed method shows effectiveness in gaze estimation accuracy for our biometric eye model with an average error of approximately 3.5 degrees over a 50 degree range.

Karakaya, Mahmut [ORNL; Barstow, Del R [ORNL; Santos-Villalobos, Hector J [ORNL; Thompson, Joseph W [ORNL; Bolme, David S [ORNL; Boehnen, Chris Bensing [ORNL

2013-01-01T23:59:59.000Z

409

Speaker Independent Isolated Digit Voice Recognition Using Discrete Hidden Markov Model  

E-Print Network (OSTI)

Many practical interactive voice response systems require speaker independent speech recognition. Achieving speaker independence is dicult as we do not have direct methods to prepare speaker independent reference patterns of the sub-units of the speech and compare a given sub-unit of speech with them. Hidden Markov Models provide better means than other methods to achieve speaker independence with the help of training speech by a suciently large number of speakers. Hidden Markov models have the inherent capability to model the variations in speed of the speech. We developed an interactive voice response system based on discrete Hidden Markov Models. In our system we use a word detector and a linear prediction based signal processing front end which are also developed in this work. We recorded telephone quality speech with the help of modem interface and prepared database of spoken digits of 160 speakers using modem for the training purpose to achieve speaker independence. We also present dierent ne tuning methods to improve the performance of speech recognition. We also present word rejection criterion to improve con dence of the recognition. We also present an interactive voice response system which is developed using the technology developed in this thesis.

K Vasudeva Rao

2000-01-01T23:59:59.000Z

410

Simple Inference Heuristics versus Complex Decision Machines  

Science Conference Proceedings (OSTI)

Keywords: complex algorithms, decision making, deep thought, fast and frugal decisions, simple heuristics

Peter M. Todd

1999-11-01T23:59:59.000Z

411

Neutral and Cationic Main Group Lewis Acids - Synthesis, Characterization and Anion Complexation  

E-Print Network (OSTI)

The molecular recognition of fluoride and cyanide anions has become an increasingly pertinent objective in research due to the toxicity associated with these anions, as well as their widespread use. Fluoride is commonly added to drinking water and toothpastes to promote dental health, and often used in the treatment of osteoporosis, however, high doses can lead to skeletal fluorosis, an incurable condition. Cyanide is also an extremely toxic anion, which binds to and deactivates the cytochrome-c oxidase enzyme, often leading to fatality. The molecular recognition of these anions in water has proven to be challenging. For fluoride, the anion is small, and thus, efficiently hydrated (?H?hyd = -504 KJ/mol), making its complexation in aqueous environments particularly difficult. In addition to being small and efficiently hydrated like the fluoride anion, cyanide has a pKa(HCN) of 9.3 making its competing protonation in neutral water a further complication. Recent efforts to complex fluoride and cyanide have utilized triarylboranes, which covalently bind the anion. Monofunctional triarylboranes display a high affinity for fluoride with binding constants in the range of 105-106 M-1 in organic solvents, and chelating triarylboranes exhibit markedly higher anion affinities. These species, however, remain challenged in the presence of water. This dissertation focuses on the synthesis and properties of novel Lewis acids designed for the molecular recognition of fluoride or cyanide in aqueous environments. To this end, a group 15 element will be incorporated into a main group Lewis acidcontaining molecule for the purpose of: i) increasing the Lewis acidity of the molecule via incorporation of a cationic group, and ii) increasing the water compatibility of the host. Specifically, a pair of isomeric ammonium boranes has been synthesized. These boranes are selective sensors which selectively bind either fluoride or cyanide anions in water. The study of phosphonium boranes has revealed that the latent Lewis acidity of the phosphonium moiety is capable of aiding triarylboranes in the chelation of small anions. Finally, my research shows that Br?nsted acidic H-bond donors such as amides, when paired with triarylboranes, are capable of forming chelate complexes with fluoride.

Hudnall, Todd W.

2008-12-01T23:59:59.000Z

412

Control Complexity in Fallback Voting  

E-Print Network (OSTI)

We study the control complexity of fallback voting. Like manipulation and bribery, electoral control describes ways of changing the outcome of an election; unlike manipulation or bribery attempts, control actions---such as adding/deleting/partitioning either candidates or voters---modify the participative structure of an election. Via such actions one can try to either make a favorite candidate win ("constructive control") or prevent a despised candidate from winning ("destructive control"). Computational complexity can be used to protect elections from control attempts, i.e., proving an election system resistant to some type of control shows that the success of the corresponding control action, though not impossible, is computationally prohibitive. We show that fallback voting, an election system combining approval with majority voting, is resistant to each of the common types of candidate control and to each common type of constructive control. Among natural election systems with a polynomial-time winner pr...

Erdlyi, Gbor; Rothe, Jrg

2010-01-01T23:59:59.000Z

413

Quantum query complexity for qutrits  

Science Conference Proceedings (OSTI)

We compute lower bounds for the exact quantum query complexity of a ternary function f. The lower bound is of order O(log{sub 3}(n)). In case f is symmetric on a sphere then the lower bound is of order O({radical}(n)). This work is a natural continuation of the work of Beals, Buhrman, Cleve, Mosca, and de Wolf on lower limits for binary functions.

Tamir, Boaz [Department of HPS, Bar Ilan University, Ramat Gan (Israel)

2008-02-15T23:59:59.000Z

414

Experiments on Cryogenic Complex Plasma  

SciTech Connect

Experiments on a cryogenic complex plasma have been performed. Preliminary experiments include production of a plasma in a liquid helium or in a cryogenic helium gas by a pulsed discharge. The extended production of a plasma has been realized in a vapor of liquid helium or in a cryogenic helium gas by rf discharge. The charge of dust particles injected in such a plasma has been studied in detail.

Ishihara, O.; Sekine, W.; Kubota, J.; Uotani, N.; Chikasue, M.; Shindo, M. [Faculty of Engineering, Yokohama National University Yokohama, 240-8501 (Japan)

2009-11-10T23:59:59.000Z

415

Developement of 3D Vertically Integrated Pattern Recognition Associative Memory (VIPRAM)  

SciTech Connect

Many next-generation physics experiments will be characterized by the collection of large quantities of data, taken in rapid succession, from which scientists will have to unravel the underlying physical processes. In most cases, large backgrounds will overwhelm the physics signal. Since the quantity of data that can be stored for later analysis is limited, real-time event selection is imperative to retain the interesting events while rejecting the background. Scaling of current technologies is unlikely to satisfy the scientific needs of future projects, so investments in transformational new technologies need to be made. For example, future particle physics experiments looking for rare processes will have to address the demanding challenges of fast pattern recognition in triggering as detector hit density becomes significantly higher due to the high luminosity required to produce the rare processes. In this proposal, we intend to develop hardware-based technology that significantly advances the state-of-the-art for fast pattern recognition within and outside HEP using the 3D vertical integration technology that has emerged recently in industry. The ultimate physics reach of the LHC experiments will crucially depend on the tracking trigger's ability to help discriminate between interesting rare events and the background. Hardware-based pattern recognition for fast triggering on particle tracks has been successfully used in high-energy physics experiments for some time. The CDF Silicon Vertex Trigger (SVT) at the Fermilab Tevatron is an excellent example. The method used there, developed in the 1990's, is based on algorithms that use a massively parallel associative memory architecture to identify patterns efficiently at high speed. However, due to much higher occupancy and event rates at the LHC, and the fact that the LHC detectors have a much larger number of channels in their tracking detectors, there is an enormous challenge in implementing pattern recognition for a track trigger, requiring about three orders of magnitude more associative memory patterns than what was used in the original CDF SVT. Significant improvement in the architecture of associative memory structures is needed to run fast pattern recognition algorithms of this scale. We are proposing the development of 3D integrated circuit technology as a way to implement new associative memory structures for fast pattern recognition applications. Adding a 'third' dimension to the signal processing chain, as compared to the two-dimensional nature of printed circuit boards, Field Programmable Gate Arrays (FPGAs), etc., opens up the possibility for new architectures that could dramatically enhance pattern recognition capability. We are currently performing preliminary design work to demonstrate the feasibility of this approach. In this proposal, we seek to develop the design and perform the ASIC engineering necessary to realize a prototype device. While our focus here is on the Energy Frontier (e.g. the LHC), the approach may have applications in experiments in the Intensity Frontier and the Cosmic Frontier as well as other scientific and medical projects. In fact, the technique that we are proposing is very generic and could have wide applications far beyond track trigger, both within and outside HEP.

Deputch, G.; Hoff, J.; Lipton, R.; Liu, T.; Olsen, J.; Ramberg, E.; Wu, Jin-Yuan; Yarema, R.; /Fermilab; Shochet, M.; Tang, F.; /Chicago U.; Demarteau, M.; /Argonne /INFN, Padova

2011-04-13T23:59:59.000Z

416

Ground states in complex bodies  

E-Print Network (OSTI)

A unified framework for analyzing the existence of ground states in wide classes of elastic complex bodies is presented here. The approach makes use of classical semicontinuity results, Sobolev mappinngs and Cartesian currents. Weak diffeomorphisms are used to represent macroscopic deformations. Sobolev maps and Cartesian currents describe the inner substructure of the material elements. Balance equations for irregular minimizers are derived. A contribution to the debate about the role of the balance of configurational actions follows. After describing a list of possible applications of the general results collected here, a concrete discussion of the existence of ground states in thermodynamically stable quasicrystals is presented at the end.

Paolo Maria Mariano; Giuseppe Modica

2008-02-11T23:59:59.000Z

417

SRNL Recognition  

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

09 to August 2010 09 to August 2010 Dr. Ragaiy Zidan Dr. Ragaiy Zidan was honored by the DOE Office of Energy Efficiency and Renewable Energy for research that is expected to accelerate the development of a whole class of hydrogen storage materials. He was presented the DOE Hydrogen Program Team Award at its Annual Merit Review and Peer Evaluation Meeting for hydrogen, fuel cells and advanced vehicle technologies including batteries and related research. Dr. Zidan was honored for his contributions in developing electrochemical methods for alane regeneration. He was lead researcher on an SRNL project team that developed a novel closed cycle for producing the high capacity hydrogen storage material. An electrochemical cycle demonstrated by Dr. Zidan and the SRNL team for production of alane avoids issues that had hindered its development as a storage material, and provides an innovative promising option for further research and development.

418

SRNL Recognition  

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

10 to Present 10 to Present Dr. Robert Sindelar Dr. Robert Sindelar has begun a two month assignment in Japan as a U.S. Embassy Science Fellow. Dr. Sindelar will be hosted by the Japan Ministry of Environment as part of the Japan-U.S. cooperation framework for decontamination efforts in the Fukushima region. As an Embassy Science Fellow, he will provide technical expertise and suggestions to Japanese counterparts based on U.S. experience and collective SRS and SRNL expertise, and will interact with other scientists working in the field. He has previously participated in a National Laboratory expert team workshop with Japanese organizations to discuss high priority tasks for cleanup of the damaged Fukushima Daiichi plant, delivering presentations on relevant experience in water decontamination, corrosion control and leak repair technologies. Dr. Sindelar has 28 years of research and development experience in nuclear science. He is internationally recognized for his work in areas such as spent nuclear fuel management, water decontamination, aging effects and aging management of structures, and materials in nuclear systems. He has a B.S. in Physics and Mathematics from the University of Wisconsin - Eau Claire, and both a M.S. and Ph.D. in Nuclear Engineering from the University of Wisconsin - Madison. The Embassy Science Fellows program offers U.S. Embassies an opportunity to host a working scientist for a one to three month stay. Begun in 2001 as a State Department - National Science Foundation partnership, the program places U.S. scientists at posts to provide expertise, advice and assistance with science and technology-related issues. SRNL is DOE's applied research and development national laboratory at SRS. SRNL puts science to work to support DOE and the nation in the areas of environmental stewardship, national security, and clean energy. SRNL is operated by Savannah River Nuclear Solutions, a Fluor-led company whose members are Fluor Federal Services, Newport News Nuclear and Honeywell.

419

NZERTF Recognition  

Science Conference Proceedings (OSTI)

... Net-Zero Energy Residential Test Facility Receives US Green Building ... a complete water management system; energy-efficient lighting and ...

2013-04-29T23:59:59.000Z

420

Camera Recognition  

Science Conference Proceedings (OSTI)

... Venezuela 480,623 Colombia 456,778 South Korea 410,904 Argentina 355,504 Israel 323,523 Bahamas 265,075 Dominican Republic 231,861 ...

2013-03-20T23:59:59.000Z

Note: This page contains sample records for the topic "recognition particle-receptor complex" 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

Drug Recognition  

Science Conference Proceedings (OSTI)

... Page 33. Acknowledgements Maryland Eileen M. Briley, Maryland State Police Jessica Taylor, Maryland State Police Pennsylvania ...

2013-04-29T23:59:59.000Z

422

Biometric Recognition  

Science Conference Proceedings (OSTI)

... Component fault replacement Decommissioning Issues for large scale, long-lived systems Technology refresh hardware and software ...

2010-12-21T23:59:59.000Z

423

Emergent Phenomena at Complex Oxide Interfaces  

E-Print Network (OSTI)

Complex Oxide Interfaces by Pu Yu A dissertation submittedOxide Interfaces Copyright 2011 by Pu Yu Abstract Emergentat Complex Oxide Interfaces by Pu Yu Doctor of Philosophy in

Yu, Pu

2011-01-01T23:59:59.000Z

424

Complex oxides useful for thermoelectric energy conversion  

SciTech Connect

The invention provides for a thermoelectric system comprising a substrate comprising a first complex oxide, wherein the substrate is optionally embedded with a second complex oxide. The thermoelectric system can be used for thermoelectric power generation or thermoelectric cooling.

Majumdar, Arunava (Orinda, CA); Ramesh, Ramamoorthy (Moraga, CA); Yu, Choongho (College Station, TX); Scullin, Matthew L. (Berkeley, CA); Huijben, Mark (Enschede, NL)

2012-07-17T23:59:59.000Z

425

Reliable complex event detection for pervasive computing  

Science Conference Proceedings (OSTI)

Complex event processing for pervasive computing must deal with various sources of error. In this paper, we focus on improving complex event detector handling of several types of communication error, in addition to timing errors caused by the lack of ...

Dan O'Keeffe; Jean Bacon

2010-07-01T23:59:59.000Z

426

Defining and detecting emergence in complex networks  

Science Conference Proceedings (OSTI)

Emergence is seen as the most significant feature discriminating complex from non complex systems. Nevertheless, no standard definition of emergence is currently available in the literature. This lack of a shared view affects ...

Fabio Boschetti; Mikhail Prokopenko; Ian Macreadie; Anne-Marie Grisogono

2005-09-01T23:59:59.000Z

427

On-line recognition of supernova neutrino bursts in the LVD detector  

E-Print Network (OSTI)

In this paper we show the capabilities of the Large Volume Detector (INFN Gran Sasso National Laboratory) to identify a neutrino burst associated to a supernova explosion, in the absence of an "external trigger", e.g., an optical observation. We describe how the detector trigger and event selection have been optimized for this purpose, and we detail the algorithm used for the on-line burst recognition. The on-line sensitivity of the detector is defined and discussed in terms of supernova distance and electron anti-neutrino intensity at the source.

N. Yu. Agafonova; M. Aglietta; P. Antonioli; G. Bari; A. Bonardi; V. V. Boyarkin; G. Bruno; W. Fulgione; P. Galeotti; M. Garbini; P. L. Ghia; P. Giusti; F. Gomez; E. Kemp; V. V. Kuznetsov; V. A. Kuznetsov; A. S. Malguin; H. Menghetti; A. Pesci; R. Persiani; I. A. Pless; A. Porta; V. G. Ryasny; O. G. Ryazhskaya; O. Saavedra; G. Sartorelli; M. Selvi; C. Vigorito; L. Votano; V. F. Yakushev; G. T. Zatsepin; A. Zichichi

2007-10-01T23:59:59.000Z

428

Albuquerque Complex | National Nuclear Security Administration  

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

Albuquerque Complex | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response...

429

Modeling complexity of enterprise routing design  

Science Conference Proceedings (OSTI)

Enterprise networks often have complex routing designs given the need to meet a wide set of resiliency, security and routing policies. In this paper, we take the position that minimizing design complexity must be an explicit objective of routing design. ... Keywords: network complexity, routing design, top-down modeling

Xin Sun; Sanjay G. Rao; Geoffrey G. Xie

2012-12-01T23:59:59.000Z

430

Genotoxicity of complex chemical mixtures  

E-Print Network (OSTI)

Complex chemical mixtures are ubiquitous in the environment. Humans are frequently exposed to these mixtures; therefore, it is important to understand potential interactions of chemical mixtures. Mixture interactions may influence the absorption, distribution, metabolism or excretion of the components of a complex mixture. The research conducted for this dissertation has coupled chemical fractionation with in vitro and in vivo bioassays to assess the potential carcinogenic risk of complex mixtures. A non-aqueous phase liquid from a wood treatment plant was separated into acid (AF), base (BF) and neutral fractions (NF). The NF was further enriched using column chromatography to produce a polychlorinated dinbenzo-p-dioxin (PCDD) and a polycyclic aromatic hydrocarbon (PAH) fraction. The genotoxicity of these mixtures were assessed via analytical quantification, in vitro (Salmonella microsome and E. coli prophage induction) and in vivo (32P-postlabeling) bioassays. The NF was further tested to measure bulky DNA adducts and induction of tumor formation. The AF contained the highest level of pentachlorophenol and the highest concentration of total PAHs. Although the carcinogenic PAHs were highest in the PCDD fraction, the highest concentrations of benzo(a)pyrene (BAP), indeno(1,2,3-cd)pyrene and dibenz(a,h)anthracene were detected in the PAH fraction. A positive genotoxic response in Salmonella was induced by the crude extract, the PAH and BF, whereas the AF and BF induced a positive response in the E. coli assay. In vivo, the PAH fraction induced the highest DNA adduct frequencies in the lung. The NF, reconstituted mixture (RM) (which includes equivalent concentrations of seven carcinogenic PAHs in the NF), BAP and the NF amended with BAP (NF+BAP) were all tested in an infant mouse model. At the highest dose, after a 24 hr exposure, NF+BAP had the highest total DNA adducts measured in liver which was three to seven times higher than with other treatments. Adduct levels were comparable to the control after 280 days. The highest incidence of tumors was observed in the liver. At the high dose, NF+BAP elicited the highest incidence of tumors. The results of this research confirm previous studies and indicate that the carcinogenic potential of PAH mixtures may be greater than predicted by chemical analysis.

Phillips, Tracie Denise

2006-12-01T23:59:59.000Z

431

Y-12 National Security Complex  

NLE Websites -- All DOE Office Websites

About About Careers Community Employees & Retirees Library Suppliers Contact Us Y-12 Home Y-12 National Security Complex Home Nuclear Deterrence Global Security Naval Reactors Partnerships Security News Search form Search... Search Latest News | B&W Y-12 donates $75,000 to Emory Valley Center Facebook Twitter YouTube Flickr RSS Feature Stories Expertise Our NRFTC trainers have many years of operational experience at Y-12 as well as on numerous international missions. Nuclear Detection and Forensics A strong technical nuclear detection and forensics capability is important to the nation's security. "Cook"ing at Y-12 for 70 years We have an enduring mission. Y-12 plays a key role in it. And a nuclear deterrent remains the ultimate insurance policy for America. Young Innovators' Society Awesome Eyeballs visit Y-12

432

Deactivation Of Mound's Tritium Complex  

E-Print Network (OSTI)

Deactivation of Mound? s tritium complex is on the critical path for the site exit plan. Under the site exit plan, the DOE Mound Plant in Miamisburg, Ohio, is undergoing significant effort to transition the former weapons facilities to commercial use. Mound will demolish, decontaminate, or transfer more than 100 facilities and 300 acres of land to a non-commercial organization, Miamisburg Mound Community Improvement Corp. (MMCIC) for the city's industrial site development. Among these facilities, deactivation of three tritium facilities presents the most challenge. These laboratory buildings were among some of the original buildings built at Mound in the late 1940s or early 1950s. Through the years, those buildings were used for tritium recovery, testing, research and development and are heavily contaminated with tritium and other radionuclides. The Mound Plant combined safe shutdown of these facilities into a single project. The first deactivation project of this magnitude in the...

Sam Cheng And

2000-01-01T23:59:59.000Z

433

ICDF Complex Remedial Action Report  

SciTech Connect

This Idaho CERCLA Disposal Facility (ICDF) Remedial Action Report has been prepared in accordance with the requirements of Section 6.2 of the INEEL CERCLA Disposal Facility Remedial Action Work Plan. The agency prefinal inspection of the ICDF Staging, Storage, Sizing, and Treatment Facility (SSSTF) was completed in June of 2005. Accordingly, this report has been developed to describe the construction activities completed at the ICDF along with a description of any modifications to the design originally approved for the facility. In addition, this report provides a summary of the major documents prepared for the design and construction of the ICDF, a discussion of relevant requirements and remedial action objectives, the total costs associated with the development and operation of the facility to date, and identification of necessary changes to the Agency-approved INEEL CERCLA Disposal Facility Remedial Action Work Plan and the ICDF Complex Operations and Maintenance Plan.

W. M. Heileson

2007-09-26T23:59:59.000Z

434

Consensus clustering in complex networks  

E-Print Network (OSTI)

The community structure of complex networks reveals both their organization and hidden relationships among their constituents. Most community detection methods currently available are not deterministic, and their results typically depend on the specific random seeds, initial conditions and tie-break rules adopted for their execution. Consensus clustering is used in data analysis to generate stable results out of a set of partitions delivered by stochastic methods. Here we show that consensus clustering can be combined with any existing method in a self-consistent way, enhancing considerably both the stability and the accuracy of the resulting partitions. This framework is also particularly suitable to monitor the evolution of community structure in temporal networks. An application of consensus clustering to a large citation network of physics papers demonstrates its capability to keep track of the birth, death and diversification of topics.

Lancichinetti, Andrea; 10.1038/srep00336

2012-01-01T23:59:59.000Z

435

Design Molecular Recognition Materials for Chiral Sensors, Separtations and Catalytic Materials  

Science Conference Proceedings (OSTI)

The goal is the development of materials that are highly sensitive and selective for chid chemicals and biochemical (such as insecticides, herbicides, proteins, and nerve agents) to be used as sensors, catalysts and separations membranes. Molecular modeling methods are being used to tailor chiral molecular recognition sites with high affinity and selectivity for specified agents. The work focuses on both silicate and non-silicate materials modified with chirally-pure fictional groups for the catalysis or separations of enantiomerically-pure molecules. Surfactant and quaternary amine templating is being used to synthesize porous frameworks, containing mesopores of 30 to 100 angstroms. Computer molecukw modeling methods are being used in the design of these materials, especially in the chid surface- modi~ing agents. Molecular modeling is also being used to predict the catalytic and separations selectivities of the modified mesoporous materials. The ability to design and synthesize tailored asymmetric molecular recognition sites for sensor coatings allows a broader range of chemicals to be sensed with the desired high sensitivity and selectivity. Initial experiments target the selective sensing of small molecule gases and non-toxic model neural compounds. Further efforts will address designing sensors that greatly extend the variety of resolvable chemical species and forming a predictive, model-based method for developing advanced sensors.

Jia, S.; Nenoff, T.M.; Provencio, P.; Qiu, Y.; Shelnutt, J.A.; Thoma, S.G.; Zhang, J.

1998-11-01T23:59:59.000Z

436

Heat Transfer in Complex Fluids  

SciTech Connect

Amongst the most important constitutive relations in Mechanics, when characterizing the behavior of complex materials, one can identify the stress tensor T, the heat flux vector q (related to heat conduction) and the radiant heating (related to the radiation term in the energy equation). Of course, the expression 'complex materials' is not new. In fact, at least since the publication of the paper by Rivlin & Ericksen (1955), who discussed fluids of complexity (Truesdell & Noll, 1992), to the recently published books (Deshpande et al., 2010), the term complex fluids refers in general to fluid-like materials whose response, namely the stress tensor, is 'non-linear' in some fashion. This non-linearity can manifest itself in variety of forms such as memory effects, yield stress, creep or relaxation, normal-stress differences, etc. The emphasis in this chapter, while focusing on the constitutive modeling of complex fluids, is on granular materials (such as coal) and non-linear fluids (such as coal-slurries). One of the main areas of interest in energy related processes, such as power plants, atomization, alternative fuels, etc., is the use of slurries, specifically coal-water or coal-oil slurries, as the primary fuel. Some studies indicate that the viscosity of coal-water mixtures depends not only on the volume fraction of solids, and the mean size and the size distribution of the coal, but also on the shear rate, since the slurry behaves as shear-rate dependent fluid. There are also studies which indicate that preheating the fuel results in better performance, and as a result of such heating, the viscosity changes. Constitutive modeling of these non-linear fluids, commonly referred to as non-Newtonian fluids, has received much attention. Most of the naturally occurring and synthetic fluids are non-linear fluids, for example, polymer melts, suspensions, blood, coal-water slurries, drilling fluids, mud, etc. It should be noted that sometimes these fluids show Newtonian (linear) behavior for a given range of parameters or geometries; there are many empirical or semi-empirical constitutive equations suggested for these fluids. There have also been many non-linear constitutive relations which have been derived based on the techniques of continuum mechanics. The non-linearities oftentimes appear due to higher gradient terms or time derivatives. When thermal and or chemical effects are also important, the (coupled) momentum and energy equations can give rise to a variety of interesting problems, such as instability, for example the phenomenon of double-diffusive convection in a fluid layer. In Conclusion, we have studied the flow of a compressible (density gradient type) non-linear fluid down an inclined plane, subject to radiation boundary condition. The heat transfer is also considered where a source term, similar to the Arrhenius type reaction, is included. The non-dimensional forms of the equations are solved numerically and the competing effects of conduction, dissipation, heat generation and radiation are discussed. It is observed that the velocity increases rapidly in the region near the inclined surface and is slower in the region near the free surface. Since R{sub 7} is a measure of the heat generation due to chemical reaction, when the reaction is frozen (R{sub 7}=0.0) the temperature distributions would depend only on R{sub 1}, and R{sub 2}, representing the effects of the pressure force developed in the material due to the distribution, R{sub 3} and R{sub 4} viscous dissipation, R{sub 5} the normal stress coefficient, R{sub 6} the measure of the emissivity of the particles to the thermal conductivity, etc. When the flow is not frozen (RP{sub 7} > 0) the temperature inside the flow domain is much higher than those at the inclined and free surfaces. As a result, heat is transferred away from the flow toward both the inclined surface and the free surface with a rate that increases as R{sub 7} increases. For a given temperature, an increase in {zeta} implies that the activation energy is smaller and thus, the reaction ra

Mehrdad Massoudi

2012-01-01T23:59:59.000Z

437

Advanced nuclear plant control complex  

DOE Patents (OSTI)

An advanced control room complex for a nuclear power plant, including a discrete indicator and alarm system (72) which is nuclear qualified for rapid response to changes in plant parameters and a component control system (64) which together provide a discrete monitoring and control capability at a panel (14-22, 26, 28) in the control room (10). A separate data processing system (70), which need not be nuclear qualified, provides integrated and overview information to the control room and to each panel, through CRTs (84) and a large, overhead integrated process status overview board (24). The discrete indicator and alarm system (72) and the data processing system (70) receive inputs from common plant sensors and validate the sensor outputs to arrive at a representative value of the parameter for use by the operator during both normal and accident conditions, thereby avoiding the need for him to assimilate data from each sensor individually. The integrated process status board (24) is at the apex of an information hierarchy that extends through four levels and provides access at each panel to the full display hierarchy. The control room panels are preferably of a modular construction, permitting the definition of inputs and outputs, the man machine interface, and the plant specific algorithms, to proceed in parallel with the fabrication of the panels, the installation of the equipment and the generic testing thereof.

Scarola, Kenneth (Windsor, CT); Jamison, David S. (Windsor, CT); Manazir, Richard M. (North Canton, CT); Rescorl, Robert L. (Vernon, CT); Harmon, Daryl L. (Enfield, CT)

1993-01-01T23:59:59.000Z

438

In this paper we describe a generalized classification method for HMM-based speech recognition systems, that uses free energy as  

E-Print Network (OSTI)

recognition systems, that uses free energy as a discriminant function rather than conventional probabilities negative free energy [2] of the HMM at a temperature . Consequently, MAP classifica- tion is equivalent to minimizing the free energy of the classifier with respect to the class at T = 1. In speech recognition

Singh, Rita

439

Mathematical link of evolving aging and complexity  

E-Print Network (OSTI)

Aging is a fundamental aspect of living systems that undergo a progressive deterioration of physiological function with age and an increase of vulnerability to disease and death. Living systems, known as complex systems, require complexity in interactions among molecules, cells, organs, and individuals or regulatory mechanisms to perform a variety of activities for survival. On this basis, aging can be understood in terms of a progressive loss of complexity with age; this suggests that complexity in living systems would evolve with age. In general, aging dynamics is mathematically depicted by a survival function, which monotonically changes from 1 to 0 with age. It would be then useful to find an adequate survival function to link aging dynamics and complexity evolution. Here we describe a flexible survival function, which is derived from the stretched exponential function by adopting an age-dependent exponent. We note that the exponent is associated with evolving complexity, i.e., a fractal-like scaling in c...

Weon, Byung Mook

2010-01-01T23:59:59.000Z

440

Permutation complexity of interacting dynamical systems  

E-Print Network (OSTI)

The coupling complexity index is an information measure introduced within the framework of ordinal symbolic dynamics. This index is used to characterize the complexity of the relationship between dynamical system components. In this work, we clarify the meaning of the coupling complexity by discussing in detail some cases leading to extreme values, and present examples using synthetic data to describe its properties. We also generalize the coupling complexity index to the multivariate case and derive a number of important properties by exploiting the structure of the symmetric group. The applicability of this index to the multivariate case is demonstrated with a real-world data example. Finally, we define the coupling complexity rate of random and deterministic time series. Some formal results about the multivariate coupling complexity index have been collected in an Appendix.

Roberto Monetti; Jos Mara Amig; Thomas Aschenbrenner; Wolfram Bunk

2013-05-08T23:59:59.000Z

Note: This page contains sample records for the topic "recognition particle-receptor complex" 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.


441

Security | Y-12 National Security Complex  

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

Security Security The Y-12 National Security Complex places the highest priority on maintaining and improving its security posture. We employ security police officers, cyber...

442

Expertise | Y-12 National Security Complex  

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

event. As one of the National Nuclear Security Administration's original nuclear weapons production facilities, Y-12 National Security Complex has more than 60 years of...

443

CORRELATION PROFILES AND MOTIFS IN COMPLEX NETWORKS.  

SciTech Connect

Networks have recently emerged as a unifying theme in complex systems research [1]. It is in fact no coincidence that networks and complexity are so heavily intertwined. Any future definition of a complex system should reflect the fact that such systems consist of many mutually interacting components. These components are far from being identical as say electrons in systems studied by condensed matter physics. In a truly complex system each of them has a unique identity allowing one to separate it from the others. The very first question one may ask about such a system is which other components a given component interacts with? This information system wide can be visualized as a graph, whose nodes correspond to individual components of the complex system in question and edges to their mutual interactions. Such a network can be thought of as a backbone of the complex system. Of course, system's dynamics depends not only on the topology of an underlying network but also on the exact form of interaction of components with each other, which can be very different in various complex systems. However, the underlying network may contain clues about the basic design principles and/or evolutionary history of the complex system in question. The goal of this article is to provide readers with a set of useful tools that would help to decide which features of a complex network are there by pure chance alone, and which of them were possibly designed or evolved to their present state.

MASLOV,S.SNEPPEN,K.ALON,U.

2004-01-16T23:59:59.000Z

444

Report Articles | Y-12 National Security Complex  

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

Report Articles Report Articles The Y-12 Report communicates the significant accomplishments of and events involving the Y-12 National Security Complex and its people. View report...

445

Predicting Global Failure Regimes in Complex Information ...  

Science Conference Proceedings (OSTI)

... While we continue to work on unconventional Markov representations in an effort to capture complex feedback paths, we have also identified a ...

2012-06-11T23:59:59.000Z

446

Ion Recognition Approach to Volume Reduction of Alkaline Tank Waste by Separation of Sodium Salts  

SciTech Connect

The purpose of this research involving collaboration between Oak Ridge National Laboratory (ORNL) and Pacific Northwest National Laboratory (PNNL) is to explore new approaches to the separation of sodium hydroxide, sodium nitrate, and other sodium salts from high-level alkaline tank waste. The principal potential benefit is a major reduction in disposed waste volume, obviating the building of expensive new waste tanks and reducing the costs of low-activity waste immobilization. Principles of ion recognition are being researched toward discovery of liquid extraction systems that selectively separate sodium hydroxide and sodium nitrate from other waste components. The successful concept of pseudohydroxide extraction using fluorinated alcohols and phenols is being developed at ORNL and PNNL toward a greater understanding of the controlling equilibria, role of solvation, and of synergistic effects involving crown ethers. Studies at PNNL are directed toward new solvent formulation for the practical sodium pseudohydroxide extraction systems.

Levitskaia, Tatiana G.; Lumetta, Gregg J.; Moyer, Bruce A.; Bonnesen, Peter V.

2006-06-01T23:59:59.000Z

447

A novel multialgoritmic approach for improving accuracy of iris recognition using Haar, multiresolution and new block sum method  

Science Conference Proceedings (OSTI)

The basic aim of biometric identification system is to discriminate automatically between subjects in a reliable and dependable way, according to specific-target application. The randomness of iris pattern makes it one of the most reliable biometric ... Keywords: Haar transform, block-sum method, feature extraction, iris recognition, knn classifier, multiresolution

U. Gawande; M. Zaveri; A. Kapur

2011-02-01T23:59:59.000Z

448

Robust Heteroscedastic Probabilistic Neural Network for multiple source partial discharge pattern recognition - Significance of outliers on classification capability  

Science Conference Proceedings (OSTI)

Among various insulation diagnostic techniques utilized by researchers and personnel handling power equipment, partial discharge (PD) recognition and analysis has emerged as a vital methodology since it is inherently a non-intrusive testing strategy. ... Keywords: Heteroscedastic Probabilistic Neural Network (HRPNN), Neural network (NN), Partial discharge (PD), Probabilistic Neural Network (PNN), Robust Heteroscedastic Neural Network (RHRPNN)

S. Venkatesh; S. Gopal

2011-09-01T23:59:59.000Z

449

263ESTUARINE MICROFOSSILS AND CRETACEOUS COAL-BEARING STRATA RECOGNITION OF RELATIVE SEA-LEVEL CHANGE IN UPPER CRETACEOUS COAL-  

E-Print Network (OSTI)

263ESTUARINE MICROFOSSILS AND CRETACEOUS COAL-BEARING STRATA RECOGNITION OF RELATIVE SEA-LEVEL CHANGE IN UPPER CRETACEOUS COAL- BEARING STRATA: A PALEOECOLOGICAL APPROACH USING AGGLUTINATED, Holyoke, Massachusetts 01040, U.S.A. ABSTRACT: Microfossils from Cretaceous coal-bearing strata can

Leckie, Mark

450

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

451

A Pattern Recognition Feature Optimization Tool Using the Visual Empirical Region of Influence Algorithm  

Science Conference Proceedings (OSTI)

This document is the second in a series that describe graphical user interface tools developed to control the Visual Empirical Region of Influence (VERI) algorithm. In this paper we describe a user interface designed to optimize the VERI algorithm results. The optimization mode uses a brute force method of searching through the combinations of features in a data set for features that produce the best pattern recognition results. With a small number of features in a data set an exact solution can be determined. However, the number of possible combinations increases exponentially with the number of features and an alternate means of finding a solution must be found. We developed and implemented a technique for finding solutions in data sets with both small and large numbers of features. This document illustrates step-by-step examples of how to use the interface and how to interpret the results. It is written in two parts, part I deals with using the interface to find the best combination from all possible sets of features, part II describes how to use the tool to find a good solution in data sets with a large number of features. The VERI Optimization Interface Tool was written using the Tcl/Tk Graphical User Interface (GUI) programming language, version 8.1. Although the Tcl/Tk packages are designed to run on multiple computer platforms, we have concentrated our efforts to develop a user interface for the ubiquitous DOS environment. The VERI algorithms are compiled, executable programs. The optimization interface executes the VERI algorithm in Leave-One-Out mode using the Euclidean metric. For a thorough description of the type of data analysis we perform, and for a general Pattern Recognition tutorial, refer to our website at: http://www.sandia.gov/imrl/XVisionScience/Xusers.htm.

MARTINEZ, RUBEL F.

2002-06-01T23:59:59.000Z

452

Recognition of Multivalent Histone States Associated with Heterochromatin by UHRF1 Protein  

SciTech Connect

Histone modifications and DNA methylation represent two layers of heritable epigenetic information that regulate eukaryotic chromatin structure and gene activity. UHRF1 is a unique factor that bridges these two layers; it is required for maintenance DNA methylation at hemimethylated CpG sites, which are specifically recognized through its SRA domain and also interacts with histone H3 trimethylated on lysine 9 (H3K9me3) in an unspecified manner. Here we show that UHRF1 contains a tandem Tudor domain (TTD) that recognizes H3 tail peptides with the heterochromatin-associated modification state of trimethylated lysine 9 and unmodified lysine 4 (H3K4me0/K9me3). Solution NMR and crystallographic data reveal the TTD simultaneously recognizes H3K9me3 through a conserved aromatic cage in the first Tudor subdomain and unmodified H3K4 within a groove between the tandem subdomains. The subdomains undergo a conformational adjustment upon peptide binding, distinct from previously reported mechanisms for dual histone mark recognition. Mutant UHRF1 protein deficient for H3K4me0/K9me3 binding shows altered localization to heterochromatic chromocenters and fails to reduce expression of a target gene, p16{sup INK4A}, when overexpressed. Our results demonstrate a novel recognition mechanism for the combinatorial readout of histone modification states associated with gene silencing and add to the growing evidence for coordination of, and cross-talk between, the modification states of H3K4 and H3K9 in regulation of gene expression.

Nady, Nataliya; Lemak, Alexander; Walker, John R.; Avvakumov, George V.; Kareta, Michael S.; Achour, Mayada; Xue, Sheng; Duan, Shili; Allali-Hassani, Abdellah; Zuo, Xiaobing; Wang, Yun-Xing; Bronner, Christian; Chdin, Frdric; Arrowsmith, Cheryl H.; Dhe-Paganon, Sirano (CNRS-UMR); (UCD); (NIH); (Toronto)

2012-09-19T23:59:59.000Z

453

The Complex Chemistry of William H. Green  

E-Print Network (OSTI)

Population (billions) Global Energy Demand (1971-2030) 1750-2050 #12;Electricity: Coal, Nuclear? · 20th Century View: ­ Complex reacting mixtures are too hard to model... ­ ...so do many pilot plant us to handle complexity. ­ Quantum chemistry allows us to predict kinetic parameters. ­ To cost

Barton, Paul I.

454

Central Waste Complex (CWC) Safety Equipment List  

Science Conference Proceedings (OSTI)

This document lists all safety equipment for the Central Waste Complex, per HNF-PRO-704. This document provides a list of structures, systems, and components that are essential to the continuing safe operation of the Central Waste Complex, as designated by the applicable facility management and the cognizant engineer.

WHITLOCK, R.W.

2000-01-20T23:59:59.000Z

455

The Computational Complexity of Quantified Reciprocals  

Science Conference Proceedings (OSTI)

We study the computational complexity of reciprocal sentences with quantified antecedents. We observe a computational dichotomy between different interpretations of reciprocity, and shed some light on the status of the so-called Strong Meaning Hypothesis. ... Keywords: Reciprocal expressions, Strong Meaning Hypothesis, computational complexity, generalized quantifiers

Jakub Szymanik

2009-03-01T23:59:59.000Z

456

Complexity and expressive power of logic programming  

Science Conference Proceedings (OSTI)

This article surveys various complexity and expressiveness results on different forms of logic programming. The main focus is on decidable forms of logic programming, in particular, propositional logic programming and datalog, but we also mention general ... Keywords: Complexity, datalog, expressive power, logic programming, nonmonotonic logic, query languages

Evgeny Dantsin; Thomas Eiter; Georg Gottlob; Andrei Voronkov

2001-09-01T23:59:59.000Z

457

Operational state complexity of nested word automata  

Science Conference Proceedings (OSTI)

We introduce techniques to prove lower bounds for the number of states needed by finite automata operating on nested words. We study the state complexity of Boolean operations and obtain lower bounds that are tight within an additive constant. The results ... Keywords: Finite automata, Language operations, Nested words, State complexity

Xiaoxue Piao; Kai Salomaa

2009-08-01T23:59:59.000Z

458

ICD Complex Operations and Maintenance Plan  

SciTech Connect

This Operations and Maintenance (O&M) Plan describes how the Idaho National Laboratory (INL) conducts operations, winterization, and startup of the Idaho CERCLA Disposal Facility (ICDF) Complex. The ICDF Complex is the centralized INL facility responsible for the receipt, storage, treatment (as necessary), and disposal of INL Comprehensive Environmental Response, Compensation and Liability Act (CERCLA) remediation waste.

Gibson, P. L.

2007-06-25T23:59:59.000Z

459

Complexity measures for binding-blocking automata  

Science Conference Proceedings (OSTI)

We define three complexity measures for binding-blocking automata (BBA) namely, blocking number, blocking instant and blocking quotient. We also study some hierarchical structures of BBA arising out of it. Keywords: binding-blocking automata, complexity measures, peptide-antibody interaction

M. Sakthi Balan

2008-04-01T23:59:59.000Z

460

Computational Complexity D.B. Shmoys and '  

E-Print Network (OSTI)

Chapter 29 Computational Complexity D.B. Shmoys and ' E. Tardos School of Operations Research of Computational Problems 2. Shades of Intractability 3. Living with Intractability 4. Inside P Computational complexity theory attempts to understand the power of computation, by providing insight into the question why

Keinan, Alon

Note: This page contains sample records for the topic "recognition particle-receptor complex" 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

Simulating the Daylight Performance of Complex Fenestration Systems...  

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

Daylight Performance of Complex Fenestration Systems Using Bidirectional Scattering Distribution Functions within Radiance Title Simulating the Daylight Performance of Complex...

462

Y-12 National Security Complex - Reports  

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

Reports Reports Y-12 National Security Complex Review Reports 2013 Independent Oversight Appraisal of the Uranium Processing Facility Safety Basis Preliminary Safety Design Report Process at the Y-12 National Security Complex, May 2013 Review Reports 2012 Review of the Long Lead Procurement Processed Used by Babcock & Wilcox Technical Services Y-12, LLC for the Uranium Processing Facility Project, July 2012 Assessment of Nuclear Safety Culture at the Y-12 National Security Complex Uranium Processing Facility Project, June 2012 Review of the Y-12 Implementation Verification Review Processes, June 2012 Targeted Review of Site Preparedness for Severe Natural Phenomena Events at the Y-12 National Security Complex, February 2012 Office of Nuclear Safety Enforcement Regulatory Assistance Review of B&W Technical Services Y-12, LLC at the Y-12 National Security Complex, January 20, 2012

463

Property:ToolComplexity | Open Energy Information  

Open Energy Info (EERE)

ToolComplexity ToolComplexity Jump to: navigation, search Property Name ToolComplexity Property Type Text Description Complexity, or ease of use, of tool/application Allows Values Simple;Moderate;Advanced;Not Available This is a property of type Text. Pages using the property "ToolComplexity" Showing 14 pages using this property. A Alternative Fuel and Advanced Technology Vehicles Pilot Program Emissions Benefit Tool + Moderate Applied Dynamic Analysis of the Global Economy (ADAGE) Model + Advanced E Electricity Markets Analysis (EMA) Model + Advanced Energy Forecasting Framework and Emissions Consensus Tool (EFFECT) + Simple Evaluating Public Transit Benefits and Costs: Best Practices Guidebook + Advanced G Global Bus Rapid Transit (BRT) Database + Not Available

464

Central waste complex interim safety basis  

Science Conference Proceedings (OSTI)

This interim safety basis provides the necessary information to conclude that hazards at the Central Waste Complex are controlled and that current and planned activities at the CWC can be conducted safely. CWC is a multi-facility complex within the Solid Waste Management Complex that receives and stores most of the solid wastes generated and received at the Hanford Site. The solid wastes that will be handled at CWC include both currently stored and newly generated low-level waste, low-level mixed waste, contact-handled transuranic, and contact-handled TRU mixed waste.

Cain, F.G.

1995-05-15T23:59:59.000Z

465

ICDF Complex Operations Waste Management Plan  

SciTech Connect

This Waste Management Plan functions as a management and planning tool for managing waste streams generated as a result of operations at the Idaho CERCLA Disposal Facility (ICDF) Complex. The waste management activities described in this plan support the selected remedy presented in the Waste Area Group 3, Operable Unit 3-13 Final Record of Decision for the operation of the Idaho CERCLA Disposal Facility Complex. This plan identifies the types of waste that are anticipated during operations at the Idaho CERCLA Disposal Facility Complex. In addition, this plan presents management strategies and disposition for these anticipated waste streams.

W.M. Heileson

2006-12-01T23:59:59.000Z

466

Forecast verification: Its Complexity and Dimensionality  

Science Conference Proceedings (OSTI)

Two fundamental characteristics of forecast verification problemscomplexity and dimensionalityare described. To develop quantitative definitions of these characteristics, a general framework for the problem of absolute verification (AV) is ...

Allan H. Murphy

1991-07-01T23:59:59.000Z

467

Nuclear Deterrence | Y-12 National Security Complex  

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

7, 2013 - 6:03pm | Y-12 Report | Volume 9, Issue 2 | 2013 The Y-12 National Security Complex was created, and exists today, to carry out one principal mission - defend the...

468

Complexity of event structure in IE scenarios  

Science Conference Proceedings (OSTI)

This paper presents new Information Extraction scenarios which are linguistically and structurally more challenging than the traditional MUC scenarios. Traditional views on event structure and template design are not adequate for the more complex scenarios.The ...

Silja Huttunen; Roman Yangarber; Ralph Grishman

2002-08-01T23:59:59.000Z

469

Scanning Transmission Electron Microscopy Investigations of Complex...  

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

Scanning Transmission Electron Microscopy Investigations of Complex Oxides Monday, May 23, 2011 - 3:30pm SSRL Conference room 137-322 Professor Tom Vogt, NanoCenter & Department of...

470

Modeling the impact of complexity on transportation  

E-Print Network (OSTI)

This thesis aimed to understand the drivers of total transportation costs during supply chain complexity events, in particular new product launches, in a fast moving consumer goods company in the United States. The research ...

Fernandez, Jose A. (Jose Antonio Fernandez Chavira)

2012-01-01T23:59:59.000Z

471

The overconvergent de Rham-Witt complex  

E-Print Network (OSTI)

We define the overconvergent de Rham-Witt complex ... for a smooth affine variety over a perfect field in characteristic p. We show that, after tensoring with Q, its cohomology agrees with Monsky-Washnitzer cohomology. If ...

Davis, Christopher (Christopher James)

2009-01-01T23:59:59.000Z

472

Complex Principal Component Analysis: Theory and Examples  

Science Conference Proceedings (OSTI)

Complex principal component (CPC) analysis is shown to be a useful method for identifying traveling and standing waves in geophysical data sets. Combinations of simple progressive and standing oscillations are used to examine the properties of ...

J. D. Horel

1984-12-01T23:59:59.000Z

473

CORAL: solving complex constraints for symbolic pathfinder  

Science Conference Proceedings (OSTI)

Symbolic execution is a powerful automated technique for generating test cases. Its goal is to achieve high coverage of software. One major obstacle in adopting the technique in practice is its inability to handle complex mathematical constraints. To ...

Matheus Souza; Mateus Borges; Marcelo d'Amorim; Corina S. P?s?reanu

2011-04-01T23:59:59.000Z

474

Predicting the Movement of Mesoscale Convective Complexes  

Science Conference Proceedings (OSTI)

A procedure for operationally predicting the movement of the mesobeta-scale convective elements responsible for the heavy rain in mesocale convective complexes is presented. The procedure is based on the well-known concepts that the motion of ...

S. F. Corfidi; J. H. Meritt; J. M. Fritsch

1996-03-01T23:59:59.000Z

475

A Composite Model of Mesoscale Convective Complexes  

Science Conference Proceedings (OSTI)

A composite analysis technique is used to investigate the evolution of mesoscale features of mesoscale convective complexes (MCCs). The early stage of the MCC lifecycle is characterized by convergence, vertical motion and heating being centered ...

William R. Cotton; Ming-Sen Lin; Ray L. McAnelly; Craig J. Tremback

1989-04-01T23:59:59.000Z

476

On the Complexity of Terminological Reasoning  

Science Conference Proceedings (OSTI)

TBoxes are an important component of knowledge representation systems based on description logics DLs since they allow for a natural representation of terminological knowledge. Largely due to a classical result given by Nebel, complexity analyses for ...

Lutz C.

1999-08-01T23:59:59.000Z

477

On the Complexity of Terminological Reasoning  

Science Conference Proceedings (OSTI)

TBoxes are an important component of knowledge representation systems based on description logics DLs since they allow for a natural representation of terminological knowledge. Largely due to a classical result given by Nebel, complexity analyses for ...

C. Lutz

1970-01-01T23:59:59.000Z

478

EM Corporate Performance Measures- Complex Wide  

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

The corporate (i.e., relating to the entire DOE-EM complex) measures are tracked in the context of the total measure (life-cycle) necessary to complete cleanup of each site, as well as the EM...

479

Complexity and Systems Biology of Microbial Biofuels  

E-Print Network (OSTI)

Complexity and Systems Biology of Microbial Biofuels 20-24 June 2011 (All and issues Theme: Biofuel systems and issues (Chair: Nigel Burroughs) 13 (Bielefeld) Biofuels from algae- challenges for industrial levels

Rand, David

480

Weak Lowness Notions for Kolmogorov Complexity  

E-Print Network (OSTI)

COMPLEXITY First we define truth-table reducibility, atwo reals A and B, A is truth-table reducible to B (A ? ttn) = 0 by looking at a truth-table of the relevant bits of

Herbert, Ian-Cadoc Robertson

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "recognition particle-receptor complex" 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

Deriving Quantified Safety Requirements in Complex Systems  

Science Conference Proceedings (OSTI)

A variety of hazard analysis techniques have been proposed for software-based systems but individually the techniques are limited in their ability to cope with system complexity, or to derive and prioritise component safety requirements. There is also ...

Peter A. Lindsay; John A. McDermid; David J. Tombs

2000-10-01T23:59:59.000Z

482

Complex Quality Control of Meteorological Observations  

Science Conference Proceedings (OSTI)

A survey of the so-called complex quality control (CQC) of meteorological information is presented. The principles of the CQC approach are formulated. The CQC of rawinsonde height and temperature data at mandatory isobaric surfaces is described ...

Lev S. Gandin

1988-05-01T23:59:59.000Z

483

Dispersion into Severe Coastal Complex Terrain  

Science Conference Proceedings (OSTI)

A field study of dispersion using tracer gases from offshore sources into severe coastal complex terrain was conducted in central California. Data were collected on dispersion, surface concentrations trajectories, and stability. An examination of ...

Timothy C. Spangler; James W. Keating

1990-01-01T23:59:59.000Z

484

Energy complexity of software in embedded systems  

E-Print Network (OSTI)

The importance of low power consumption is widely acknowledged due to the increasing use of portable devices, which require minimizing the consumption of energy. The energy in a computational system depends heavily on the software being executed, since it determines the activity in the underlying circuitry. In this paper we introduce the notion of energy complexity of an algorithm for estimating the required energy consumption. As test vehicle we employ matrix multiplication algorithms and from the results it can be observed that energy complexity in combination with computational complexity, provides an accurate estimation for the energy consumed in the system. KEY WORDS software design and implementation, computational complexity, low-power design, energy estimation 1.

Kostas Zotos; Andreas Litke; Er Chatzigeorgiou; Spyros Nikolaidis; George Stephanides

2005-01-01T23:59:59.000Z

485

Wind and Diffusion Modeling for Complex Terrain  

Science Conference Proceedings (OSTI)

Atmospheric transport and dispersion over complex terrain were investigated. Meteorological and sulfur hexafluoride (SF6) concentration data were collected and used to evaluate the performance of a transport and diffusion model coupled with a ...

Robert M. Cox; John Sontowski; Richard N. Fry Jr.; Catherine M. Dougherty; Thomas J. Smith

1998-10-01T23:59:59.000Z

486

Y-12 National Security Complex - Enforcement Documents  

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

Y-12 National Security Complex Preliminary Notice of Violation issued to Babcock & Wilcox Technical Services Y-12, LLC related to a Uranium Chip Fire at the Y-12 National Security...

487

Complex bodies with memory: linearized setting  

E-Print Network (OSTI)

The mechanics of complex bodies with memory effects is discussed in linearized setting. The attention is focused on the characterization of free energies in terms of minimum work and maximum recoverable work in the bulk and along a discontinuity surface endowed with its own surface energy, a surface internal to the body. To this aim, use is made of techniques proposed by Del Piero. Consequences of the Clausius-Duhem inequality are investigated for complex bodies with instantaneous linear elastic response.

Paolo Maria Mariano; Paolo Paoletti

2008-05-28T23:59:59.000Z

488

On Phenomenology of Complex Scientific Systems  

E-Print Network (OSTI)

Performance evolution of a number of complex scientific and technical systems demonstrate exponential progress with time exp(+t/C) . The speed of progress C - a measure of difficulty and complexity - is analyzed for high energy elementary particle colliders, astrophysical searches for galaxies and exoplanets, protein structure determination and compared with computers and thermonuclear fusion reactors. An explanation of the characteristic exponential progress is offered.

Shiltsev, Vladimir

2011-01-01T23:59:59.000Z

489

RECOVERY OF URANIUM BY SECONDARY XANTHATE COMPLEXING  

DOE Patents (OSTI)

A method is described for separating and recovering uranium values contained in an acidic aqueous solution together with thorium or protactinium values. In accordance with the invention, the acidic solution containing uranium in the uranyl form is contacted with an organic xanthate. The xanthate forms a urano-xanthate complex but is substantially non-reactive with thorium and protactinium. The urano-xanthate complex is recovered by organic solvent extraction.

Neville, O.K.

1959-09-01T23:59:59.000Z

490

Complex plasmas: An interdisciplinary research field  

SciTech Connect

Complex (dusty) plasmas are composed of a weakly ionized gas and charged microparticles and represent the plasma state of soft matter. Complex plasmas have several remarkable features: Dynamical time scales associated with microparticles are ''stretched'' to tens of milliseconds, yet the microparticles themselves can be easily visualized individually. Furthermore, since the background gas is dilute, the particle dynamics in strongly coupled complex plasmas is virtually undamped, which provides a direct analogy to regular liquids and solids in terms of the atomistic dynamics. Finally, complex plasmas can be easily manipulated in different ways--also at the level of individual particles. Altogether, this gives us a unique opportunity to go beyond the limits of continuous media and study--at the kinetic level--various generic processes occurring in liquids or solids, in regimes ranging from the onset of cooperative phenomena to large strongly coupled systems. In the first part of the review some of the basic and new physics are highlighted which complex plasmas enable us to study, and in the second (major) part strong coupling phenomena in an interdisciplinary context are examined. The connections with complex fluids are emphasized and a number of generic liquid and solid-state issues are addressed. In summary, application oriented research is discussed.

Morfill, Gregor E.; Ivlev, Alexei V. [Max-Planck-Institut fuer extraterrestrische Physik, 85741 Garching (Germany)

2009-10-15T23:59:59.000Z

491

Visual language recognition with a feed-forward network of spiking neurons  

Science Conference Proceedings (OSTI)

An analogy is made and exploited between the recognition of visual objects and language parsing. A subset of regular languages is used to define a one-dimensional 'visual' language, in which the words are translational and scale invariant. This allows an exploration of the viewpoint invariant languages that can be solved by a network of concurrent, hierarchically connected processors. A language family is defined that is hierarchically tiling system recognizable (HREC). As inspired by nature, an algorithm is presented that constructs a cellular automaton that recognizes strings from a language in the HREC family. It is demonstrated how a language recognizer can be implemented from the cellular automaton using a feed-forward network of spiking neurons. This parser recognizes fixed-length strings from the language in parallel and as the computation is pipelined, a new string can be parsed in each new interval of time. The analogy with formal language theory allows inferences to be drawn regarding what class of objects can be recognized by visual cortex operating in purely feed-forward fashion and what class of objects requires a more complicated network architecture.

Rasmussen, Craig E [Los Alamos National Laboratory; Garrett, Kenyan [Los Alamos National Laboratory; Sottile, Matthew [GALOIS; Shreyas, Ns [INDIANA UNIV.

2010-01-01T23:59:59.000Z

492

Geology and recognition criteria for uraniferous humate deposits, Grants Uranium Region, New Mexico. Final report  

Science Conference Proceedings (OSTI)

The geology of the uraniferous humate uranium deposits of the Grants Uranium Region, northwestern New Mexico, is summarized. The most important conclusions of this study are enumerated. Although the geologic characteristics of the uraniferous humate deposits of the Grants Uranium Region are obviously not common in the world, neither are they bizarre or coincidental. The source of the uranium in the deposits of the Grants Uranium Region is not known with certainty. The depositional environment of the host sediments was apparently the mid and distal portions of a wet alluvial fan system. The influence of structural control on the location and accumulation of the host sediments is now supported by considerable data. The host sediments possess numerous important characteristics which influenced the formation of uraniferous humate deposits. Ilmenite-magnetite distribution within potential host sandstones is believed to be the simplest and most useful regional alteration pattern related to this type of uranium deposit. A method is presented for organizing geologic observations into what is referred to as recognition criteria. The potential of the United States for new districts similar to the Grants Uranium Region is judged to be low based upon presently available geologic information. Continuing studies on uraniferous humate deposits are desirable in three particular areas.

Adams, S.S.; Saucier, A.E.

1981-01-01T23:59:59.000Z

493

Ion Recognition Approach to Volume Reduction of Alkaline Tank Waste by Separation of Sodium Salts  

SciTech Connect

The purpose of this research involving collaboration between Oak Ridge National Laboratory (ORNL) and Pacific Northwest National Laboratory (PNNL) is to explore new approaches to the separation of sodium hydroxide, sodium nitrate, and other sodium salts from high-level alkaline tank waste. The principal potential benefit is a major reduction in disposed waste volume, obviating the building of expensive new waste tanks and reducing the costs of vitrification. Principles of ion recognition are being researched toward discovery of liquid-liquid extraction systems that selectively separate sodium hydroxide and sodium nitrate from other waste components. The successful concept of pseudo hydroxide extraction using fluorinated alcohols and phenols is being developed at ORNL and PNNL toward a greater understanding of the controlling equilibria, role of solvation, and of synergistic effects involving crown ethers. Synthesis efforts are being directed toward enhanced sodium binding by crown ethers, both neutral and proton-ionizable. Studies with real tank waste at PNNL will provide feedback toward solvent compositions that have promising properties.

Moyer, Bruce A.; Bonnesen, Peter V.; Custelcean, Radu; Delmau, Laetitia H.; Engle, Nancy L.; Kang, Hyun-Ah; Keever, Tamara J.; Marchand, Alan P.; Gadthula, Srinivas; Gore, Vinayak K.; Huang, Zilin; Sivappa, Rasapalli; Tirunahari, Pavan K.; Levitskaia, Tatiana G.; Lumetta, Gregg J.

2005-09-26T23:59:59.000Z

494

Ion Recognition Approach to Volume Reduction of Alkaline Tank Waste by Separation of Sodium Salts  

SciTech Connect

The purpose of this research involving collaboration between Oak Ridge National Laboratory (ORNL) and Pacific Northwest National Laboratory (PNNL) is to explore new approaches to the separation of sodium hydroxide, sodium nitrate, and other sodium salts from high-level alkaline tank waste. The principal potential benefit is a major reduction in disposed waste volume, obviating the building of expensive new waste tanks and reducing the costs of low-activity waste immobilization. Principles of ion recognition are being researched toward discovery of liquid-liquid extraction systems that selectively separate sodium hydroxide and sodium nitrate from other waste components. The successful concept of pseudohydroxide extraction using fluorinated alcohols and phenols is being developed at ORNL and PNNL toward a greater understanding of the controlling equilibria, role of solvation, and of synergistic effects involving crown ethers. Synthesis efforts are being directed toward enhanced sodium binding by crown ethers, both neutral and proton-ionizable. Studies with real tank waste at PNNL will provide feedback toward solvent compositions that have promising properties.

Levitskaia, Tatiana G.; Lumetta, Gregg J.; Moyer, Bruce A.; Bonnesen, Peter V.

2005-06-01T23:59:59.000Z

495

ATRX ADD domain links an atypical histone methylation recognition mechanism to human mental-retardation syndrome  

SciTech Connect

ATR-X (alpha-thalassemia/mental retardation, X-linked) syndrome is a human congenital disorder that causes severe intellectual disabilities. Mutations in the ATRX gene, which encodes an ATP-dependent chromatin-remodeler, are responsible for the syndrome. Approximately 50% of the missense mutations in affected persons are clustered in a cysteine-rich domain termed ADD (ATRX-DNMT3-DNMT3L, ADD{sub ATRX}), whose function has remained elusive. Here we identify ADD{sub ATRX} as a previously unknown histone H3-binding module, whose binding is promoted by lysine 9 trimethylation (H3K9me3) but inhibited by lysine 4 trimethylation (H3K4me3). The cocrystal structure of ADD{sub ATRX} bound to H3{sub 1-15}K9me3 peptide reveals an atypical composite H3K9me3-binding pocket, which is distinct from the conventional trimethyllysine-binding aromatic cage. Notably, H3K9me3-pocket mutants and ATR-X syndrome mutants are defective in both H3K9me3 binding and localization at pericentromeric heterochromatin; thus, we have discovered a unique histone-recognition mechanism underlying the ATR-X etiology.

Iwase, Shigeki; Xiang, Bin; Ghosh, Sharmistha; Ren, Ting; Lewis, Peter W.; Cochrane, Jesse C.; Allis, C. David; Picketts, David J.; Patel, Dinshaw J.; Li, Haitao; Shi, Yang (Harvard-Med); (Ottawa Hosp.); (MSKCC); (Rockefeller); (CH-Boston); (Tsinghua); (Mass. Gen. Hosp.)

2011-07-19T23:59:59.000Z

496

ATRX ADD Domain Links an Atypical Histone Methylation Recognition Mechanism to Human Mental-Retardation Syndrome  

SciTech Connect

ATR-X (alpha-thalassemia/mental retardation, X-linked) syndrome is a human congenital disorder that causes severe intellectual disabilities. Mutations in the ATRX gene, which encodes an ATP-dependent chromatin-remodeler, are responsible for the syndrome. Approximately 50% of the missense mutations in affected persons are clustered in a cysteine-rich domain termed ADD (ATRX-DNMT3-DNMT3L, ADD{sub ATRX}), whose function has remained elusive. Here we identify ADD{sub ATRX} as a previously unknown histone H3-binding module, whose binding is promoted by lysine 9 trimethylation (H3K9me3) but inhibited by lysine 4 trimethylation (H3K4me3). The cocrystal structure of ADD{sub ATRX} bound to H3{sub 1-15}K9me3 peptide reveals an atypical composite H3K9me3-binding pocket, which is distinct from the conventional trimethyllysine-binding aromatic cage. Notably, H3K9me3-pocket mutants and ATR-X syndrome mutants are defective in both H3K9me3 binding and localization at pericentromeric heterochromatin; thus, we have discovered a unique histone-recognition mechanism underlying the ATR-X etiology.

S Iwase; B Xiang; S Ghosh; T Ren; P Lewis; J Cochrane; C Allis; D Picketts; D Patel; et al.

2011-12-31T23:59:59.000Z

497

Sensing from the basement: a feasibility study of unobtrusive and low-cost home activity recognition  

E-Print Network (OSTI)

The home deployment of sensor-based systems offers many opportunities, particularly in the area of using sensor-based systems to support aging in place by monitoring an elders activities of daily living. But existing approaches to home activity recognition are typically expensive, difficult to install, or intrude into the living space. This paper considers the feasibility of a new approach that reaches into the home via the existing infrastructure. Specifically, we deploy a small number of low-cost sensors at critical locations in a homes water distribution infrastructure. Based on water usage patterns, we can then infer activities in the home. To examine the feasibility of this approach, we deployed real sensors into a real home for six weeks. Among other findings, we show that a model built on microphone-based sensors that are placed away from systematic noise sources can identify 100 % of clothes washer usage, 95 % of dishwasher usage, 94 % of showers, 88 % of toilet flushes, 73 % of bathroom sink activity lasting ten seconds or longer, and 81 % of kitchen sink activity lasting ten seconds or longer. While there are clear limits to what activities can be detected when analyzing water usage, our new approach represents a sweet spot in the tradeoff between what information is collected at what cost.

James Fogarty

2006-01-01T23:59:59.000Z

498

Improving Posterior Based Confidence Measures in Hybrid HMM/ANN Speech Recognition Systems  

E-Print Network (OSTI)

. In this paper, building upon previous work by others [7], we define and investigate a set of confidence measures based on hybrid Hidden Markov Model/Artificial Neural Network (HMM/ANN) acoustic models. All these measures are using the neural network to estimate the local phone posterior probabilities, which are then combined and normalized in different ways. Experimental results will indeed show that the use of an appropriate duration normalization is very important to obtain good estimates of the phone and word confidences. The different measures are evaluated at the phone and word levels on both an isolated word task (PHONEBOOK) and a continuous speech recognition task (BREF). It will be shown that one of those confidence measures is well suited for utterance verification, and that (as one could expect) confidence measures at the word level perform better than those at the phone level. Finally, using the resulting approach on PHONEBOOK to rescore the N-best list is shown to yield a...

Martigny Valais Suisse; Giulia Bernardis; Herve Bourlard

1998-01-01T23:59:59.000Z

499

F E I U T R E H RE B E H I A R&D 100 Awards Recognition Ceremony  

discoveries in science and the applications that result play an important role in shaping ... R&D 100 Awards Sponsorship 20. R&D 100 Awards Recognition Ceremony May 2005

500

Technical analysis : neural network based pattern recognition of technical trading indicators, statistical evaluation of their predictive value and a historical overview of the field  

E-Print Network (OSTI)

We revisit the kernel regression based pattern recognition algorithm designed by Lo, Mamaysky, and Wang (2000) to extract nonlinear patterns from the noisy price data, and develop an analogous neural network based one. We ...

Hasanhodzic, Jasmina, 1979-

2004-01-01T23:59:59.000Z