WorldWideScience

Sample records for based simultaneous component

  1. Time-invariant component-based normalization for a simultaneous PET-MR scanner

    Science.gov (United States)

    Belzunce, M. A.; Reader, A. J.

    2016-05-01

    Component-based normalization is a method used to compensate for the sensitivity of each of the lines of response acquired in positron emission tomography. This method consists of modelling the sensitivity of each line of response as a product of multiple factors, which can be classified as time-invariant, time-variant and acquisition-dependent components. Typical time-variant factors are the intrinsic crystal efficiencies, which are needed to be updated by a regular normalization scan. Failure to do so would in principle generate artifacts in the reconstructed images due to the use of out of date time-variant factors. For this reason, an assessment of the variability and the impact of the crystal efficiencies in the reconstructed images is important to determine the frequency needed for the normalization scans, as well as to estimate the error obtained when an inappropriate normalization is used. Furthermore, if the fluctuations of these components are low enough, they could be neglected and nearly artifact-free reconstructions become achievable without performing a regular normalization scan. In this work, we analyse the impact of the time-variant factors in the component-based normalization used in the Biograph mMR scanner, but the work is applicable to other PET scanners. These factors are the intrinsic crystal efficiencies and the axial factors. For the latter, we propose a new method to obtain fixed axial factors that was validated with simulated data. Regarding the crystal efficiencies, we assessed their fluctuations during a period of 230 d and we found that they had good stability and low dispersion. We studied the impact of not including the intrinsic crystal efficiencies in the normalization when reconstructing simulated and real data. Based on this assessment and using the fixed axial factors, we propose the use of a time-invariant normalization that is able to achieve comparable results to the standard, daily updated, normalization factors used in this

  2. Simultaneous multi-wavelength phase-shifting interferometry based on principal component analysis with a color CMOS

    Science.gov (United States)

    Fan, Jingping; Lu, Xiaoxu; Xu, Xiaofei; Zhong, Liyun

    2016-05-01

    From a sequence of simultaneous multi-wavelength phase-shifting interferograms (SMWPSIs) recorded by a color CMOS, a principal component analysis (PCA) based multi-wavelength interferometry (MWI) is proposed. First, a sequence of SMWPSIs with unknown phase shifts are recorded with a single-chip color CMOS camera. Subsequently, the wrapped phases of single-wavelength are retrieved with the PCA algorithm. Finally, the unambiguous phase of the extended synthetic wavelength is achieved by the subtraction between the wrapped phases of single-wavelength. In addition, to eliminate the additional phase introduced by the microscope and intensity crosstalk among three-color channels, a two-step phase compensation method with and without the measured object in the experimental system is employed. Compared with conventional single-wavelength phase-shifting interferometry, due to no requirements for phase shifts calibration and the phase unwrapping operation, the actual unambiguous phase of the measured object can be achieved with the proposed PCA-based MWI method conveniently. Both numerical simulations and experimental results demonstrate that the proposed PCA-based MWI method can enlarge not only the measuring range, but also no amplification of noise level.

  3. Simultaneous multi-wavelength phase-shifting interferometry based on principal component analysis with a color CMOS

    International Nuclear Information System (INIS)

    From a sequence of simultaneous multi-wavelength phase-shifting interferograms (SMWPSIs) recorded by a color CMOS, a principal component analysis (PCA) based multi-wavelength interferometry (MWI) is proposed. First, a sequence of SMWPSIs with unknown phase shifts are recorded with a single-chip color CMOS camera. Subsequently, the wrapped phases of single-wavelength are retrieved with the PCA algorithm. Finally, the unambiguous phase of the extended synthetic wavelength is achieved by the subtraction between the wrapped phases of single-wavelength. In addition, to eliminate the additional phase introduced by the microscope and intensity crosstalk among three-color channels, a two-step phase compensation method with and without the measured object in the experimental system is employed. Compared with conventional single-wavelength phase-shifting interferometry, due to no requirements for phase shifts calibration and the phase unwrapping operation, the actual unambiguous phase of the measured object can be achieved with the proposed PCA-based MWI method conveniently. Both numerical simulations and experimental results demonstrate that the proposed PCA-based MWI method can enlarge not only the measuring range, but also no amplification of noise level. (paper)

  4. Component Compatibility in Component Based Development

    OpenAIRE

    Dr. Hardeep Singh; Anitpal Kaur

    2014-01-01

    This paper presents a research on component compatibility in component based development. Component-based software engineering is a process that emphasizes the design and construction of computer-based systems using reusable software components. Commercial components repositories contain hundred thousand components that make component selection an extremely difficult and time expensive task. Often component selected by functional features are incompatible or the integration effort...

  5. Simultaneous labeling of multiple components in a single fingermark.

    Science.gov (United States)

    van Dam, Annemieke; Aalders, Maurice C G; van de Braak, Kevin; Hardy, Huub J J; van Leeuwen, Ton G; Lambrechts, Saskia A G

    2013-10-10

    A fingermark contains important forensic information of the donor, not only in its ridge pattern, but also in the chemical composition of its secretion. Detection and identification of these secretions can be done by immunolabeling. In this study, we describe for the first time a reproducible immunolabeling method that allows the simultaneous detection of multiple components of interest. This method not only reduces the manipulation of fingermarks, but also different types of information can be obtained about the donor in one labeling session. To prove the concept of this technique, we selected two general components as antigens of interest, dermcidin and the human serum albumin. Conjugation of both antibodies to two different synthetic fluorophores, followed by simultaneous incubation of both conjugated antibodies, resulted in successful multiple immunolabeling of fingermarks left on a porous nitrocellulose membrane and on a non-porous glass slide surface. In order to minimize false positives to prevent non-specific binding of antibodies to fingermarks and surface carriers, careful blocking and washing steps were found crucial. With this reproducible protocol, high quality images could be obtained from the multiple labeled fingermarks. In conclusion, simultaneous multiple immunolabeling of antibodies in fingermarks can identify specific components in the secretion of the fingermark, including components related to hygiene, diet, time of day, contacts gender and drug use. Multiple immunolabeling therefore has the potential to make a major impact in the forensic field. PMID:24053878

  6. Simultaneous Spectrophotometric Determination of Four Components including Acetaminophen by Taget Factor Analysis

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    UV Spectrophotometric Target Factor Analysis (TFA) was used for the simultaneous determination of four components (acetaminophen, guuaifenesin, caffeine, Chlorphenamine maleate) in cough syrup. The computer program of TFA is based on VC++ language. The difficulty of overlapping of absorption spectra of four compounds was overcome by this procedure. The experimental results show that the average recovery of each component is all in the range from 98.9% to 106.8% and each component obtains satisfactory results without any pre-separation.

  7. Spatial correlativity of atmospheric particulate components simultaneously collected in Japan.

    Science.gov (United States)

    Funasaka, Kunihiro; Asakawa, Daichi; Oku, Yuichiro; Kishikawa, Naoya; Deguchi, Yuya; Sera, Nobuyuki; Seiyama, Tetsurou; Horasaki, Kazunori; Arashidani, Keiichi; Toriba, Akira; Hayakawa, Kazuichi; Watanabe, Masanari; Kataoka, Hiroyuki; Yamaguchi, Takako; Ikemori, Fumikazu; Inaba, Yohei; Tonokura, Kenichi; Akiyama, Masayuki; Kokunai, Osamu; Coulibaly, Souleymane; Hasei, Tomohiro; Watanabe, Tetsushi

    2016-02-01

    The simultaneous sampling of total suspended particles was performed at 14 sites in Japan during July 2008-June 2009. The spatial correlativity of each particulate composition toward Osaka was obtained for nine selected sites to overview the chemical composition and geographical distribution of particulate components across a wide range of areas nationwide. The spatial correlatives of atmospheric particulate components were extended to an even wider range of areas up to 950 km distance (meso-alpha scale region, >200 km) for a far-reaching distance analysis unique in the literature. Overall, the spatial correlations of ionic species and both organic and elemental carbons were significant, suggesting their shared advections, including their long-range transport from East Asia. Although sulfate ions are widely dispersed across Japan, such is not necessarily correlated with organic and elemental carbon, possibly indicating that the sulfate emission source, including long-range transport, differs from that of carbonaceous particulates. By contrast, the characteristics of spatial correlatives of metallic constituents vary; for example, particulate Pb and Cd show a significantly wide range of spatial correlatives to Osaka, while Mn-though limited to cities neighboring Osaka-shows significant spatial correlations. Other metallic constituents showed no significant spatial correlatives, indicating the effects of local pollutants. Moreover, the extent of the spatial dispersion of the particulate components and the relationships among chemical components were analyzed via factor analysis to highlight the effects of long-range inflow and local original emissions. In this treatment, 13 particulate components among the 19 measured were implicated in long-range transport. PMID:26753629

  8. Development and optimization of SPE-HPLC-UV/ELSD for simultaneous determination of nine bioactive components in Shenqi Fuzheng Injection based on Quality by Design principles.

    Science.gov (United States)

    Wang, Lu; Qu, Haibin

    2016-03-01

    A method combining solid phase extraction, high performance liquid chromatography, and ultraviolet/evaporative light scattering detection (SPE-HPLC-UV/ELSD) was developed according to Quality by Design (QbD) principles and used to assay nine bioactive compounds within a botanical drug, Shenqi Fuzheng Injection. Risk assessment and a Plackett-Burman design were utilized to evaluate the impact of 11 factors on the resolutions and signal-to-noise of chromatographic peaks. Multiple regression and Pareto ranking analysis indicated that the sorbent mass, sample volume, flow rate, column temperature, evaporator temperature, and gas flow rate were statistically significant (p operating parameters of sample preparation, chromatographic separation, and compound detection were investigated simultaneously. Eight terms of method validation, i.e., system-suitability tests, method robustness/ruggedness, sensitivity, precision, repeatability, linearity, accuracy, and stability, were accomplished at a selected working point. These results revealed that the QbD principles were suitable in the development of analytical procedures for samples in complex matrices. Meanwhile, the analytical quality and method robustness were validated by the analytical design space. The presented strategy provides a tutorial on the development of a robust QbD-compliant quantitative method for samples in complex matrices. PMID:26825340

  9. The Simultaneous Determination of Five Components Including Acetaminophen by Ridge Regression Spectrophotometry

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    Ridge regression spectrophotometry (LHG) is used for the simultaneous determination of five components (acetaminophen, p-aminophenol, caffeine, chlorphenamine maleate and guaifenesin) in cough syrup. The computer program of LHG is based on VB language.The difficulties in overlapping of absorption spectrums of five compounds are overcome by this procedure. The experimental results show that the average recovery of each component is in the range from 97.9% to 103.3% and each component obtains satisfactory results without any pre-separation.

  10. Simultaneous refinement of two components of an exsolution intergrowth

    DEFF Research Database (Denmark)

    Topa, Dan; Petricek, Vaclav; Dusek, Michal; Makovicky, Emil; Balic Zunic, Tonci

    2008-01-01

    Crystal structures of intergrown lindstromite and krupkaite were determined in two distinct samples by a simultaneous crystal-structure refinement using a modified JANA program package. The exsolution intergrowths have a bulk composition, determined by means of electron microprobe, equal to bd(60...

  11. Novel pure component contribution, mean centering of ratio spectra and factor based algorithms for simultaneous resolution and quantification of overlapped spectral signals: An application to recently co-formulated tablets of chlorzoxazone, aceclofenac and paracetamol

    Science.gov (United States)

    Toubar, Safaa S.; Hegazy, Maha A.; Elshahed, Mona S.; Helmy, Marwa I.

    2016-06-01

    In this work, resolution and quantitation of spectral signals are achieved by several univariate and multivariate techniques. The novel pure component contribution algorithm (PCCA) along with mean centering of ratio spectra (MCR) and the factor based partial least squares (PLS) algorithms were developed for simultaneous determination of chlorzoxazone (CXZ), aceclofenac (ACF) and paracetamol (PAR) in their pure form and recently co-formulated tablets. The PCCA method allows the determination of each drug at its λmax. While, the mean centered values at 230, 302 and 253 nm, were used for quantification of CXZ, ACF and PAR, respectively, by MCR method. Partial least-squares (PLS) algorithm was applied as a multivariate calibration method. The three methods were successfully applied for determination of CXZ, ACF and PAR in pure form and tablets. Good linear relationships were obtained in the ranges of 2-50, 2-40 and 2-30 μg mL- 1 for CXZ, ACF and PAR, in order, by both PCCA and MCR, while the PLS model was built for the three compounds each in the range of 2-10 μg mL- 1. The results obtained from the proposed methods were statistically compared with a reported one. PCCA and MCR methods were validated according to ICH guidelines, while PLS method was validated by both cross validation and an independent data set. They are found suitable for the determination of the studied drugs in bulk powder and tablets.

  12. Novel pure component contribution, mean centering of ratio spectra and factor based algorithms for simultaneous resolution and quantification of overlapped spectral signals: An application to recently co-formulated tablets of chlorzoxazone, aceclofenac and paracetamol.

    Science.gov (United States)

    Toubar, Safaa S; Hegazy, Maha A; Elshahed, Mona S; Helmy, Marwa I

    2016-06-15

    In this work, resolution and quantitation of spectral signals are achieved by several univariate and multivariate techniques. The novel pure component contribution algorithm (PCCA) along with mean centering of ratio spectra (MCR) and the factor based partial least squares (PLS) algorithms were developed for simultaneous determination of chlorzoxazone (CXZ), aceclofenac (ACF) and paracetamol (PAR) in their pure form and recently co-formulated tablets. The PCCA method allows the determination of each drug at its λmax. While, the mean centered values at 230, 302 and 253nm, were used for quantification of CXZ, ACF and PAR, respectively, by MCR method. Partial least-squares (PLS) algorithm was applied as a multivariate calibration method. The three methods were successfully applied for determination of CXZ, ACF and PAR in pure form and tablets. Good linear relationships were obtained in the ranges of 2-50, 2-40 and 2-30μgmL(-1) for CXZ, ACF and PAR, in order, by both PCCA and MCR, while the PLS model was built for the three compounds each in the range of 2-10μgmL(-1). The results obtained from the proposed methods were statistically compared with a reported one. PCCA and MCR methods were validated according to ICH guidelines, while PLS method was validated by both cross validation and an independent data set. They are found suitable for the determination of the studied drugs in bulk powder and tablets. PMID:27038581

  13. Sequential versus Simultaneous Auctioning of Procurement Contracts with Common Value and Private Value Components

    OpenAIRE

    Silva, D; Pagel, B.; Peeters, R.J.A.P.

    2008-01-01

    We study procurement auctions held in sequential and simultaneous formats. For thelatter format, we find less bid participation and more aggressive bidding for projects withstrong common value components and more competition for projects having strong privatevalue components.

  14. A Bayesian hypothesis testing approach for finding upper bounds for probabilities that pairs of software components fail simultaneously

    OpenAIRE

    2011-01-01

    Predicting the reliability of software systems based on a component-based approach is inherently difficult, in particular due to failure dependencies between software components. One possible way to assess and include dependency aspects in software reliability models is to find upper bounds for probabilities that software components fail simultaneously and then include these into the reliability models. In earlier research, it has been shown that including partial dependency information may g...

  15. Simultaneous multi-component quantitation of Chinese herbal injection Yin-zhi-huang in rat plasma by using a single-tube extraction procedure for mass spectrometry-based pharmacokinetic measurement.

    Science.gov (United States)

    Zeng, Le; Wang, Meiling; Yuan, Yu; Guo, Bin; Zhou, Jing; Tan, Zhen; Ye, Meiling; Ding, Li; Chen, Bo

    2014-09-15

    Ying-zhi-huang injection (YZH-I) is an injectable multi-herbal prescription derived from the ancient Chinese remedy "Yin-chen-hao-tang", which is widely used in the clinic for the treatment of jaundice and chronic liver diseases. To date, little information is available on the pharmacokinetic properties of this poly-herbal formulation. Herein, we reported a simple, rapid and sensitive liquid chromatography-tandem mass spectrometry (LC-MS/MS) method for quantitative multiple reaction monitoring (MRM) of eight major ingredients of YZH-I (including baicalin, baicalein, wogonoside, geniposide, geniposidic acid, chlorogenic acid, neochlorogenic acid, and caffeic acid) in rat plasma. A fast single-tube multi-impurity precipitation extraction ("SMIPE") procedure was introduced for straightforward plasma preparation, based on one-pot deproteinization precipitation with acidified methanol extraction and in-situ multifunction impurity removal by a solid sorbent mixture (anh. magnesium sulfate plus octadecylsilane). Particularly, the addition of ascorbic acid in methanol (10 mg/mL) was found to exhibit a pronounced protective effect and significantly increase extraction effectiveness of the herbal phenolic components. Some pretreatment variables (protein precipitating solvent, acidifying agent and sorbent) were optimized with acceptable matrix effect (-18 to 7.7%), extraction recovery (65-88%) and process efficiency (62-91%) for the SMIPE-based LC-MRM multi-analyte quantitation using matrix-matched calibration (5-1000 ng/mL) without using internal standard. Mean accuracies were obtained in the range of 83-114% at three different fortification levels, with intra- and inter-day variations within 13%. This validated method was successfully applied to the simultaneous measurement and pharmacokinetic investigation of the chemical constituents in rats following an intravenous administration of YZH-I. PMID:25129410

  16. Simultaneous optimal estimates of fixed effects and variance components in the mixed model

    Institute of Scientific and Technical Information of China (English)

    WU; Mixia; WANG; Songgui

    2004-01-01

    For a general linear mixed model with two variance components, a set of simple conditions is obtained, under which, (i) the least squares estimate of the fixed effects and the analysis of variance (ANOVA) estimates of variance components are proved to be uniformly minimum variance unbiased estimates simultaneously; (ii) the exact confidence intervals of the fixed effects and uniformly optimal unbiased tests on variance components are given; (iii) the exact probability expression of ANOVA estimates of variance components taking negative value is obtained.

  17. Formal Component-Based Semantics

    CERN Document Server

    Madlener, Ken; van Eekelen, Marko; 10.4204/EPTCS.62.2

    2011-01-01

    One of the proposed solutions for improving the scalability of semantics of programming languages is Component-Based Semantics, introduced by Peter D. Mosses. It is expected that this framework can also be used effectively for modular meta theoretic reasoning. This paper presents a formalization of Component-Based Semantics in the theorem prover Coq. It is based on Modular SOS, a variant of SOS, and makes essential use of dependent types, while profiting from type classes. This formalization constitutes a contribution towards modular meta theoretic formalizations in theorem provers. As a small example, a modular proof of determinism of a mini-language is developed.

  18. Simultaneous characterization of pancreatic stellate cells and other pancreatic components within three-dimensional tissue environment during chronic pancreatitis

    Science.gov (United States)

    Hu, Wenyan; Fu, Ling

    2013-05-01

    Pancreatic stellate cells (PSCs) and other pancreatic components that play a critical role in exocrine pancreatic diseases are generally identified separately by conventional studies, which provide indirect links between these components. Here, nonlinear optical microscopy was evaluated for simultaneous characterization of these components within a three-dimensional (3-D) tissue environment, primarily based on multichannel detection of intrinsic optical emissions and cell morphology. Fresh rat pancreatic tissues harvested at 1 day, 7 days, and 28 days after induction of chronic pancreatitis were imaged, respectively. PSCs, inflammatory cells, blood vessels, and collagen fibers were identified simultaneously. The PSCs at day 1 of chronic pancreatitis showed significant enlargement compared with those in normal pancreas (ppancreatic components coincidently within 3-D pancreatic tissues. It is a prospect for intravital observation of dynamic events under natural physiological conditions, and might help uncover the key mechanisms of exocrine pancreatic diseases, leading to more effective treatments.

  19. Multiparty Simultaneous Quantum Identity Authentication Based on Entanglement Swapping

    Institute of Scientific and Technical Information of China (English)

    WANG Jian; ZHANG Quan; TANG Chao-Jing

    2006-01-01

    @@ We present a multiparty simultaneous quantum identity authentication protocol based on entanglement swapping.In our protocol, the multi-user can be authenticated by a trusted third party simultaneously.

  20. Using Sculptor and Situs for simultaneous assembly of atomic components into low-resolution shapes.

    Science.gov (United States)

    Birmanns, Stefan; Rusu, Mirabela; Wriggers, Willy

    2011-03-01

    We describe an integrated software system called Sculptor that combines visualization capabilities with molecular modeling algorithms for the analysis of multi-scale data sets. Sculptor features extensive special purpose visualization techniques that are based on modern GPU programming and are capable of representing complex molecular assemblies in real-time. The integration of graphics and modeling offers several advantages. The user interface not only eases the usually steep learning curve of pure algorithmic techniques, but it also permits instant analysis and post-processing of results, as well as the integration of results from external software. Here, we implemented an interactive peak-selection strategy that enables the user to explore a preliminary score landscape generated by the colors tool of Situs. The interactive placement of components, one at a time, is advantageous for low-resolution or ambiguously shaped maps, which are sometimes difficult to interpret by the fully automatic peak selection of colors. For the subsequent refinement of the preliminary models resulting from both interactive and automatic peak selection, we have implemented a novel simultaneous multi-body docking in Sculptor and Situs that softly enforces shape complementarities between components using the normalization of the cross-correlation coefficient. The proposed techniques are freely available in Situs version 2.6 and Sculptor version 2.0. PMID:21078392

  1. A novel GMO biosensor for rapid ultrasensitive and simultaneous detection of multiple DNA components in GMO products.

    Science.gov (United States)

    Huang, Lin; Zheng, Lei; Chen, Yinji; Xue, Feng; Cheng, Lin; Adeloju, Samuel B; Chen, Wei

    2015-04-15

    Since the introduction of genetically modified organisms (GMOs), there has been on-going and continuous concern and debates on the commercialization of products derived from GMOs. There is an urgent need for development of highly efficient analytical methods for rapid and high throughput screening of GMOs components, as required for appropriate labeling of GMO-derived foods, as well as for on-site inspection and import/export quarantine. In this study, we describe, for the first time, a multi-labeling based electrochemical biosensor for simultaneous detection of multiple DNA components of GMO products on the same sensing interface. Two-round signal amplification was applied by using both an exonuclease enzyme catalytic reaction and gold nanoparticle-based bio-barcode related strategies, respectively. Simultaneous multiple detections of different DNA components of GMOs were successfully achieved with satisfied sensitivity using this electrochemical biosensor. Furthermore, the robustness and effectiveness of the proposed approach was successfully demonstrated by application to various GMO products, including locally obtained and confirmed commercial GMO seeds and transgenetic plants. The proposed electrochemical biosensor demonstrated unique merits that promise to gain more interest in its use for rapid and on-site simultaneous multiple screening of different components of GMO products. PMID:25497983

  2. A Study on the Simultaneous Multi-Components Analysis of Soil Pollution

    Energy Technology Data Exchange (ETDEWEB)

    Chung, Kang-Sup; Kim, Kun-Han; Choi, Byung-In [Korea Institute of Geology Mining and Materials, Taejon (KR)] (and others)

    1999-12-01

    Dissolution properties for the several inorganic pollutants in soils have been studied and simultaneous multi-components analytical method has been established with using ICP/MS and LA-ICP/MS for 14 monitoring elements in order to protect water and soil environments. And addition, more effective new analytical methods have been studied for BTEX, TPH(total petroleum hydrocarbon) and organophosphorus compounds, PCBs in soils. Several inorganic pollutants were spiked to 3 kinds of fresh soils which were sand, clay, loam. The dissolution properties of the prepared samples were investigated under the various extracting conditions such as extracting time, acid concentration, particle size, etc. in order to take basic information about the process of extraction test and improvement of related analytical methods. As the results, dissolution properties were affected mainly by acid concentration in extracting procedure and mineral composition of soils. On the other hand, extracting time, sort of acids and particle size of soils had a little influence on the dissolution properties. Cd revealed very high dissolving efficiency and As was very low in whole extracting test. Current analytical methods for the determination of oils are based on the purge and trap for volatiles such as gasoline and solvent extraction for semivolatiles such as kerosene and diesel oils. These methods are not proper in cost and time. In addition to, there are potential for analyte contamination and some problems in pretreatment procedure. In this study, we have discussed simultaneous determination of TPH containing gasoline, kerosene, diesel oils and etc.. And determination of Organophosphorus compounds in soils has studied. In this procedure, the application of ultrasonication methods and several extraction methods were compared. In the results of this study, we could take very low practical detection limit and good precision. Approved methods were suitable for the determination of oils and pesticides

  3. Research on the simultaneous multi-components analytical method for polluted soil

    Energy Technology Data Exchange (ETDEWEB)

    Jung, Kang Sup; Song, Duk Young; Choi, Byung In; Kim, Kun Han; Eum, Chul Hun; Jeon, Chi Wan; Lee, Jung Hwa [Korea Institute of Geology Mining and Materials, Taejon (Korea)

    1998-12-01

    Dissolution properties for the several inorganic pollutants in soils have been studied and simultaneous multi-components analytical method has been established with using ICP/MS for 13 monitoring elements in order to protect water and soil environments. And addition, more effective new analytical methods have been studied for TPH(total petroleum hydrocarbon) and organophosphorus compounds in soils. Several inorganic pollutants were spiked to 3 kinds of fresh soils which were sand, clay, loam. The dissolution properties of the prepared samples were investigated under the various extracting conditions such as extracting time, acid concentration, particle size, etc. in order to take basic information about the process of extraction test and improvement of related analytical methods. As the results, dissolution properties were affected mainly by acid concentration in extraction procedure and mineral composition of soils. On the other hand, extracting time, sort of acids and particle size of soils has a little influence on the dissolution properties. Cd revealed very high dissolving efficiency and As was very low in whole extracting test. Current analytical methods for the determination of soils are based on the purge and trap for volatiles such as gasoline and solvent extraction for semivolatiles such as kerosene and diesel oils. These methods are not proper in cost and time. In addition to, there are potential for analyte contamination and some problems in pretreatment procedure. In this study , we have discussed simultaneous determination of TPH containing gasoline, kerosene, diesel oils and etc. And determination of Organophosphorus compounds in soils has studied. In this procedure, the application of ultrasonication methods and several extraction methods were compared. In the results of this study, we could take very low practical detection limit and good precision. Approved methods were suitable for the determination of oils and pesticides in soil at high and low

  4. Formalization in Component Based Development

    DEFF Research Database (Denmark)

    Holmegaard, Jens Peter; Knudsen, John; Makowski, Piotr;

    2006-01-01

    We present a unifying conceptual framework for components, component interfaces, contracts and composition of components by focusing on the collection of properties or qualities that they must share. A specific property, such as signature, functionality behaviour or timing is an aspect. Each aspe...

  5. Study of Three-Component FBG Vibration Sensor for Simultaneous Measurement of Vibration, Temperature, and Verticality

    OpenAIRE

    Jiang Shan-chao; Wang Jing; Sui Qing-mei; Ye Qing-lin; Wang Li-jun

    2015-01-01

    To achieve simultaneous measurement of measurand vibration, temperature, and verticality, a three-component fiber Brag grating (TVFBG) vibration sensor is proposed in this paper. Polymer and metal diaphragm sensitization methods are utilized to improve this sensor measurement sensitivity. Project matrix theory is adopted to analyze this sensor. Theoretically, 9×9 nonsingular measuring coefficient matrix of this TVFBG sensor made up by three 3×3 measurand coefficient matrixes is established. ...

  6. Novel algorithm for simultaneous component detection and pseudo-molecular ion characterization in liquid chromatography–mass spectrometry

    Energy Technology Data Exchange (ETDEWEB)

    Zhang, Yufeng; Wang, Xiaoan; Wo, Siukwan [School of Pharmacy, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong (China); Ho, Hingman; Han, Quanbin [School of Chinese Medicine, Hong Kong Baptist University, 7 Baptist University Road, Kowloon Tong, Hong Kong (China); Fan, Xiaohui [College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058 (China); Zuo, Zhong, E-mail: joanzuo@cuhk.edu.hk [School of Pharmacy, Faculty of Medicine, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong (China)

    2015-01-01

    Highlights: • Novel stepwise component detection algorithm (SCDA) for LC–MS datasets. • New isotopic distribution and adduct-ion models for mass spectra. • Automatic component classification based on adduct-ion and isotopic distributions. - Abstract: Resolving components and determining their pseudo-molecular ions (PMIs) are crucial steps in identifying complex herbal mixtures by liquid chromatography–mass spectrometry. To tackle such labor-intensive steps, we present here a novel algorithm for simultaneous detection of components and their PMIs. Our method consists of three steps: (1) obtaining a simplified dataset containing only mono-isotopic masses by removal of background noise and isotopic cluster ions based on the isotopic distribution model derived from all the reported natural compounds in dictionary of natural products; (2) stepwise resolving and removing all features of the highest abundant component from current simplified dataset and calculating PMI of each component according to an adduct-ion model, in which all non-fragment ions in a mass spectrum are considered as PMI plus one or several neutral species; (3) visual classification of detected components by principal component analysis (PCA) to exclude possible non-natural compounds (such as pharmaceutical excipients). This algorithm has been successfully applied to a standard mixture and three herbal extract/preparations. It indicated that our algorithm could detect components’ features as a whole and report their PMI with an accuracy of more than 98%. Furthermore, components originated from excipients/contaminants could be easily separated from those natural components in the bi-plots of PCA.

  7. Novel algorithm for simultaneous component detection and pseudo-molecular ion characterization in liquid chromatography–mass spectrometry

    International Nuclear Information System (INIS)

    Highlights: • Novel stepwise component detection algorithm (SCDA) for LC–MS datasets. • New isotopic distribution and adduct-ion models for mass spectra. • Automatic component classification based on adduct-ion and isotopic distributions. - Abstract: Resolving components and determining their pseudo-molecular ions (PMIs) are crucial steps in identifying complex herbal mixtures by liquid chromatography–mass spectrometry. To tackle such labor-intensive steps, we present here a novel algorithm for simultaneous detection of components and their PMIs. Our method consists of three steps: (1) obtaining a simplified dataset containing only mono-isotopic masses by removal of background noise and isotopic cluster ions based on the isotopic distribution model derived from all the reported natural compounds in dictionary of natural products; (2) stepwise resolving and removing all features of the highest abundant component from current simplified dataset and calculating PMI of each component according to an adduct-ion model, in which all non-fragment ions in a mass spectrum are considered as PMI plus one or several neutral species; (3) visual classification of detected components by principal component analysis (PCA) to exclude possible non-natural compounds (such as pharmaceutical excipients). This algorithm has been successfully applied to a standard mixture and three herbal extract/preparations. It indicated that our algorithm could detect components’ features as a whole and report their PMI with an accuracy of more than 98%. Furthermore, components originated from excipients/contaminants could be easily separated from those natural components in the bi-plots of PCA

  8. Component protection based automatic control

    International Nuclear Information System (INIS)

    Control and safety systems as well as operation procedures are designed on the basis of critical process parameters limits. The expectation is that short and long term mechanical damage and process failures will be avoided by operating the plant within the specified constraints envelopes. In this paper, one of the Advanced Liquid Metal Reactor (ALMR) design duty cycles events is discussed to corroborate that the time has come to explicitly make component protection part of the control system. Component stress assessment and aging data should be an integral part of the control system. Then transient trajectory planning and operating limits could be aimed at minimizing component specific and overall plant component damage cost functions. The impact of transients on critical components could then be managed according to plant lifetime design goals. The need for developing methodologies for online transient trajectory planning and assessment of operating limits in order to facilitate the explicit incorporation of damage assessment capabilities to the plant control and protection systems is discussed. 12 refs

  9. Simultaneous and rapid determination of multiple component concentrations in a Kraft liquor process stream

    Science.gov (United States)

    Li, Jian; Chai, Xin Sheng; Zhu, Junyoung

    2008-06-24

    The present invention is a rapid method of determining the concentration of the major components in a chemical stream. The present invention is also a simple, low cost, device of determining the in-situ concentration of the major components in a chemical stream. In particular, the present invention provides a useful method for simultaneously determining the concentrations of sodium hydroxide, sodium sulfide and sodium carbonate in aqueous kraft pulping liquors through use of an attenuated total reflectance (ATR) tunnel flow cell or optical probe capable of producing a ultraviolet absorbency spectrum over a wavelength of 190 to 300 nm. In addition, the present invention eliminates the need for manual sampling and dilution previously required to generate analyzable samples. The inventive method can be used in Kraft pulping operations to control white liquor causticizing efficiency, sulfate reduction efficiency in green liquor, oxidation efficiency for oxidized white liquor and the active and effective alkali charge to kraft pulping operations.

  10. Simultaneous three-component velocity measurements in a swirl-stabilized flame

    Science.gov (United States)

    Schlüßler, Raimund; Bermuske, Mike; Czarske, Jürgen; Fischer, Andreas

    2015-10-01

    Modern gas turbines are operated with lean fuel mixtures causing instabilities of the heat release and, by means of a thermoacoustic coupling, oscillations of the flow velocity within the flame. Since these oscillations can reduce the combustion efficiency, a better understanding of their formation mechanism and spatial origin is necessary. Therefore, simultaneous, three-component (3C) velocity measurements with high measurement rate are required. The Doppler global velocimetry with laser frequency modulation (FM-DGV) achieves measurement rates up to 100 kHz and was successfully applied for measurements in flames, but does not provide simultaneous 3C velocity data. In order to overcome this drawback, the FM-DGV is extended to allow simultaneous 3C measurements. The functionality is demonstrated by measurements within a swirl-stabilized flame. In combination with time-resolved measurements of the sound pressure and chemiluminescence emission, the spatial origin of the sound pressure emission in the acoustic far-field is identified as flow velocity and heat release oscillations in the acoustic near-field of the flame. Hence, a deeper insight into the thermoacoustic coupling can be achieved.

  11. Simultaneous HPLC determination of 22 components of essential oils; method robustness with experimental design.

    Science.gov (United States)

    Porel, A; Sanyal, Y; Kundu, A

    2014-01-01

    The aim of the present study was the development and validation of a simple, precise and specific reversed phase HPLC method for the simultaneous determination of 22 components present in different essential oils namely cinnamon bark oil, caraway oil and cardamom fruit oil. The chromatographic separation of all the components was achieved on Wakosil-II C18 column with mixture of 30 mM ammonium acetate buffer (pH 4.7), methanol and acetonitrile in different ratio as mobile phase in a ternary linear gradient mode. The calibration graphs plotted with five different concentrations of each component were linear with a regression coefficient R(2) >0.999. The limit of detection and limit of quantitation were estimated for all the components. Effect on analytical responses by small and deliberate variation of critical factors was examined by robustness testing with Design of Experiment employing Central Composite Design and established that this method was robust. The method was then validated for linearity, precision, accuracy, specificity and demonstrated to be applicable to the determination of the ingredients in commercial sample of essential oil. PMID:24799735

  12. Simultaneous HPLC determination of 22 components of essential oils; method robustness with experimental design

    Directory of Open Access Journals (Sweden)

    A Porel

    2014-01-01

    Full Text Available The aim of the present study was the development and validation of a simple, precise and specific reversed phase HPLC method for the simultaneous determination of 22 components present in different essential oils namely cinnamon bark oil, caraway oil and cardamom fruit oil. The chromatographic separation of all the components was achieved on Wakosil-II C 18 column with mixture of 30 mM ammonium acetate buffer (pH 4.7, methanol and acetonitrile in different ratio as mobile phase in a ternary linear gradient mode. The calibration graphs plotted with five different concentrations of each component were linear with a regression coefficient R 2 >0.999. The limit of detection and limit of quantitation were estimated for all the components. Effect on analytical responses by small and deliberate variation of critical factors was examined by robustness testing with Design of Experiment employing Central Composite Design and established that this method was robust. The method was then validated for linearity, precision, accuracy, specificity and demonstrated to be applicable to the determination of the ingredients in commercial sample of essential oil.

  13. Components of production and corn yield intercropped with forages in simultaneous sowing

    Directory of Open Access Journals (Sweden)

    Denise Tsuzukibashi

    2013-12-01

    Full Text Available In the past, the integration of grain with cattle activity was limited to restricted options. Nowadays, however, there are numerous offers technology applicable to various concerns and socio-economic situation of producers. The integrated crop-livestock (ICL can be made by the intercrop, succession or crop rotation with annual grasses. The work aimed to evaluate the grain yield of irrigated corn crop intercropped with forages of the genus Panicum and Urochloa in simultaneous sowing with corn. The experiment was conducted at the Farm for Teaching, Research and Extension, Faculty of Engineering - UNESP, Ilha Solteira in an Oxisol in Savannah conditions. The experimental area was irrigated by center pivot and it had a history of no-tillage to 8 years. The experimental design used was randomized blocks with four replications and five treatments, as being: Panicum maximum cv. Tanzania sown simultaneously (CTS to corn; Panicum maximum cv. Mombaça sown simultaneously (CMS to corn; Urochloa brizantha cv. Xaraes sown simultaneously (CBS to corn; Urochloa ruziziensis sown simultaneously (CRS to corn, and corn without intercropping (CWI. The production components of corn: plant population per hectare (PlPo, number of ears per hectare (NE ha-1, number of rows per ear (NRE, number of kernels per row on the ear (NKR, number of grain per ear (NGE and mass of 100 grains (M100G were not influenced by intercrop with forages. Comparing grain yield of single corn and corn intercropped with forage of the genus Panicum and Urochloa, there were no differences between treatments. Grain productivity (GP of corn intercropped with forage of the genus Panicum and Urochloa was similar and did not differ from corn grown single. Regarding the dry mass production (DMP of forage genus Panicum and Urochloa after intercropped with corn, it was observed that the intercrop that had the highest DMP was CTS, however, did not differ significantly from the other consortia. Therefore

  14. The artifacts of component-based development

    International Nuclear Information System (INIS)

    Component based development idea was floated in a conference name Mass Produced Software Components in 1968 (1). Since then engineering and scientific libraries are developed to reuse the previously developed functions. This concept is now widely used in SW development as component based development (CBD). Component-based software engineering (CBSE) is used to develop/ assemble software from existing components (2). Software developed using components is called component where (3). This paper presents different architectures of CBD such as Active X, common object request broker architecture (CORBA), remote method invocation (RMI) and simple object access protocol (SOAP). The overall objective of this paper is to support the practice of CBD by comparing its advantages and disadvantages. This paper also evaluates object oriented process model to adapt it for CBD. (author)

  15. The artifacts of component-based development

    CERN Document Server

    Qureshi, M Rizwan Jameel

    2012-01-01

    Component based development idea was floated in a conference name "Mass Produced Software Components" in 1968 [1]. Since then engineering and scientific libraries are developed to reuse the previously developed functions. This concept is now widely used in SW development as component based development (CBD). Component-based software engineering (CBSE) is used to develop/ assemble software from existing components [2]. Software developed using components is called component ware [3]. This paper presents different architectures of CBD such as ActiveX, common object request broker architecture (CORBA), remote method invocation (RMI) and simple object access protocol (SOAP). The overall objective of this paper is to support the practice of CBD by comparing its advantages and disadvantages. This paper also evaluates object oriented process model to adapt it for CBD.

  16. A QOS Ontology-Based Component Selection

    OpenAIRE

    Lamia Yessad; Zizette Boufaida

    2011-01-01

    In the component-based software development, the selection step is very important. It consists of searching and selecting appropriate software components from a set of candidate components in order to satisfy the developer-specific requirements. In the selection process, both functional and non-functional requirements are generally considered. In this paper, we focus only on the QoS, a subset of non-functional characteristics, in order to determine the best components for selection. The compo...

  17. Graphene-based spintronic components

    OpenAIRE

    Zeng, Minggang; Shen, Lei; Su, Haibin; Zhou, Miao; Zhang, Chun; Feng, Yuanping

    2010-01-01

    A major challenge of spintronics is in generating, controlling and detecting spin-polarized current. Manipulation of spin-polarized current, in particular, is difficult. We demonstrate here, based on calculated transport properties of graphene nanoribbons, that nearly +-100% spin-polarized current can be generated in zigzag graphene nanoribbons (ZGNRs) and tuned by a source-drain voltage in the bipolar spin diode, in addition to magnetic configurations of the electrodes. This unusual transpor...

  18. Simultaneous Optimization of Topology and Component Sizes for Double Planetary Gear Hybrid Powertrains

    Directory of Open Access Journals (Sweden)

    Weichao Zhuang

    2016-05-01

    Full Text Available Hybrid powertrain technologies are successful in the passenger car market and have been actively developed in recent years. Optimal topology selection, component sizing, and controls are required for competitive hybrid vehicles, as multiple goals must be considered simultaneously: fuel efficiency, emissions, performance, and cost. Most of the previous studies explored these three design dimensions separately. In this paper, two novel frameworks combining these three design dimensions together are presented and compared. One approach is nested optimization which searches through the whole design space exhaustively. The second approach is called enhanced iterative optimization, which executes the topology optimization and component sizing alternately. A case study shows that the later method can converge to the global optimal design generated from the nested optimization, and is much more computationally efficient. In addition, we also address a known issue of optimal designs: their sensitivity to parameters, such as varying vehicle weight, which is a concern especially for the design of hybrid buses. Therefore, the iterative optimization process is applied to design a robust multi-mode hybrid electric bus under different loading scenarios as the final design challenge of this paper.

  19. Comparison of five Lonicera flowers by simultaneous determination of multi-components with single reference standard method and principal component analysis.

    Science.gov (United States)

    Gao, Wen; Wang, Rui; Li, Dan; Liu, Ke; Chen, Jun; Li, Hui-Jun; Xu, Xiaojun; Li, Ping; Yang, Hua

    2016-01-01

    The flowers of Lonicera japonica Thunb. were extensively used to treat many diseases. As the demands for L. japonica increased, some related Lonicera plants were often confused or misused. Caffeoylquinic acids were always regarded as chemical markers in the quality control of L. japonica, but they could be found in all Lonicera species. Thus, a simple and reliable method for the evaluation of different Lonicera flowers is necessary to be established. In this work a method based on single standard to determine multi-components (SSDMC) combined with principal component analysis (PCA) for control and distinguish of Lonicera species flowers have been developed. Six components including three caffeoylquinic acids and three iridoid glycosides were assayed simultaneously using chlorogenic acid as the reference standard. The credibility and feasibility of the SSDMC method were carefully validated and the results demonstrated that there were no remarkable differences compared with external standard method. Finally, a total of fifty-one batches covering five Lonicera species were analyzed and PCA was successfully applied to distinguish the Lonicera species. This strategy simplifies the processes in the quality control of multiple-componential herbal medicine which effectively adapted for improving the quality control of those herbs belonging to closely related species. PMID:26432385

  20. DEECO: an ensemble-based component system

    Czech Academy of Sciences Publication Activity Database

    Bureš, Tomáš; Gerostathopoulos, I.; Hnětynka, P.; Keznikl, Jaroslav; Kit, M.; Plášil, F.

    New York: ACM, 2013, s. 81-90. ISBN 978-1-4503-2122-8. [CBSE 2013. International ACM SIGSOFT Symposium on Component-Based Software Engineering /16./. Vancouver (CA), 17.06.2013-21.06.2013] Grant ostatní: GA AV ČR(CZ) GAP202/11/0312; UK(CZ) SVV-2013-267312 Institutional support: RVO:67985807 Keywords : component model * emergent architecture * component ensembles * autonomic systems * development process * runtime framework Subject RIV: IN - Informatics, Computer Science

  1. Principal component articial neural network calibration models for the simultaneous spectrophotometric estimation of mefenamic acid and paracetamol in tablets

    OpenAIRE

    RAJAPPAN MANAVALAN; KAMARAJAN KANNAN; DONDETI SATYANARAYANA

    2006-01-01

    Simultaneous estimation of all drug components in a multicomponent analgesic dosage form with artificial neural networks calibration models using UV spectrophotometry is reported as a simple alternative to using separate models for each component. Anovel approach for calibration using a compund spectral dataset derived from three spectra of each component is described. The spectra of mefenamic acid and paracetamol were recorded as several concentrations within their linear range and used to c...

  2. Simultaneous determination of four active components in Alisma orientale (Sam. Juz. by HPLC–DAD using a single reference standard

    Directory of Open Access Journals (Sweden)

    Yao-Wen Zhang

    2015-04-01

    Full Text Available A rapid, simple and practical high-performance liquid chromatography method coupled with diode array detector (HPLC–DAD was developed to evaluate the quality of Alisma orientale (Sam. Juz. through a simultaneous determination of four major active triterpenes using a single standard to determine the multi-components (SSDMCs. Alisol B 23-acetate was selected as the reference compound for calculating the relative response factors. All calibration curves showed good linearity (R2>0.9998 within test ranges. RSDs for intra- and inter-day of four analytes were less than 3.6% and 2.3%; the overall recovery was 92.1–110.2% (SSDMC. The proposed method was successfully applied to quantify the four components in 20 samples from different localities in China. Moreover, significant variations were demonstrated in the content of these compounds. In addition, hierarchical clustering analysis (HCA and principal components analysis (PCA were performed to differentiate and classify the samples based on the contents of Alisol C 23-acetate, Alisol A, Alisol A 24-acetate and Alisol B 23-acetate. This simple, rapid, low-cost and reliable HPLC–DAD method using SSDMC is suitable for routine quantitative analysis and quality control of A. orientale (Sam. Juz.

  3. Simultaneous velocity measurements of both components of a two phase flow using Particle Image Velocimetry

    International Nuclear Information System (INIS)

    The undertaken study is an examination of a two phase dispersed air bubble mixing flow within a rectangular vessel. The technique of Particle Image Velocimetry (PIV) is utilized in order to obtain non-invasive velocity measurements of the resulting bubbly flow field and its induced effects upon a surrounding liquid medium. The method provides not only a visualization of the various patterns and structures of a given flow field, but also yields quantitative full-field instantaneous velocity data from both phases of a two phase system in a concurrent manner. PIV is a rapidly advancing flow visualization technique in which the instantaneous velocity profile of a given flow field is determined by photographically recording tracer particle and/or bubble images within the flow at discrete instances in time, and then conducting computational analysis of the digitized data. The use of developed analysis algorithms which perform a point-by-point matching of particle and bubble images from one digital image frame to the next subsequently allows reconstruction of the respective instantaneous velocity profiles. The ability to simultaneously measure the velocity fields of both components of a two phase flow is an important contribution toward the goal of developing improved correlations for flow regime determination as well as improved models for key two phase flow parameters such as the interfacial drag. In this work, results were obtained which indicate that the described PIV method is an effective tool in the study of the specific interactions which occur between components in a wide variety of multiphase systems. (author)

  4. Automatic deployment of component-based applications

    OpenAIRE

    Lascu, Tudor Alexandru; Mauro, Jacopo; Zavattaro, Gianluigi

    2015-01-01

    International audience In distributed systems like those based on cloud or service-oriented frameworks, applications are typically assembled by deploying and connecting a large number of heterogeneous software components, spanning from fine-grained packages to coarse-grained complex services. Automation techniques and tools have been proposed to ease the deployment process of these complex system. By relying on a formal model of components, we describe a sound and complete algorithm for co...

  5. Outlier Mining Based on Principal Component Estimation

    Institute of Scientific and Technical Information of China (English)

    Hu Yang; Ting Yang

    2005-01-01

    Outlier mining is an important aspect in data mining and the outlier mining based on Cook distance is most commonly used. But we know that when the data have multicollinearity, the traditional Cook method is no longer effective. Considering the excellence of the principal component estimation, we use it to substitute the least squares estimation, and then give the Cook distance measurement based on principal component estimation, which can be used in outlier mining. At the same time, we have done some research on related theories and application problems.

  6. Resilience-based network component importance measures

    International Nuclear Information System (INIS)

    Disruptive events, whether malevolent attacks, natural disasters, manmade accidents, or common failures, can have significant widespread impacts when they lead to the failure of network components and ultimately the larger network itself. An important consideration in the behavior of a network following disruptive events is its resilience, or the ability of the network to “bounce back” to a desired performance state. Building on the extensive reliability engineering literature on measuring component importance, or the extent to which individual network components contribute to network reliability, this paper provides two resilience-based component importance measures. The two measures quantify the (i) potential adverse impact on system resilience from a disruption affecting link i, and (ii) potential positive impact on system resilience when link i cannot be disrupted, respectively. The resilience-based component importance measures, and an algorithm to perform stochastic ordering of network components due to the uncertain nature of network disruptions, are illustrated with a 20 node, 30 link network example

  7. Evaluating heuristics for tabletop user segmentation based on simultaneous interaction

    OpenAIRE

    García Sanjuan, Fernando; Jaén Martínez, Francisco Javier; Catalá Bolós, Alejandro

    2013-01-01

    Differentiating between users that interact on a tabletop could be beneficial for collaborative tasks to support territoriality-oriented features such as a more efficient space management or a better presentation of the contents. In this paper, we design a novel algorithm for the user differentiation or segmentation based on the simultaneous manipulation of the controls. This is a potential differentiating factor that has remained unexplored so far, and in combination with other factors may b...

  8. Compositional properties of crypto-based components

    OpenAIRE

    Spichkova, Maria

    2014-01-01

    This paper presents an Isabelle/HOL+Isar set of theories which allows to specify crypto-based components and to verify their composition properties wrt. cryptographic aspects. We introduce a formalisation of the security property of data secrecy, the corresponding definitions and proofs.

  9. Joint Procrustes Analysis for Simultaneous Nonsingular Transformation of Component Score and Loading Matrices

    Science.gov (United States)

    Adachi, Kohei

    2009-01-01

    In component analysis solutions, post-multiplying a component score matrix by a nonsingular matrix can be compensated by applying its inverse to the corresponding loading matrix. To eliminate this indeterminacy on nonsingular transformation, we propose Joint Procrustes Analysis (JPA) in which component score and loading matrices are simultaneously…

  10. Scientific data base for safeguards components

    International Nuclear Information System (INIS)

    The need to store and maintain vast amounts of data and the desire to avoid nonfunctional redundancy have provided an impetus for modern data base technology. Large-scale data base management systems (DBMS) have emerged during the past two decades evolving from earlier generalized file processing systems. This evolution has primarily involved certain business applications (e.g., production control, payroll, order entry) because of their high volume data processing characterization. Current data base technology, however, is becoming increasingly concerned with generality. Many diverse applications, including scientific ones, are benefiting from the generalized data base management software which has resulted. The concept of a data base management system is examined. The three common models which have been proposed for organizing data and relationships are identified: the network model, the hierarchical model, and the relational model. A specific implementation using a hierarchical data base management system is described. This is the data base for safeguards components which has been developed at Sandia Laboratories using the System 2000 developed by MRI Systems Corporation. Its organization, components, and functions are presented. The various interfaces it permits to user programs (e.g., safeguards automated facility evaluation software) and interactive terminal users are described

  11. Real Time Engineering Analysis Based on a Generative Component Implementation

    DEFF Research Database (Denmark)

    Kirkegaard, Poul Henning; Klitgaard, Jens

    2007-01-01

    The present paper outlines the idea of a conceptual design tool with real time engineering analysis which can be used in the early conceptual design phase. The tool is based on a parametric approach using Generative Components with embedded structural analysis. Each of these components uses the...... geometry, material properties and fixed point characteristics to calculate the dimensions and subsequent feasibility of any architectural design. The proposed conceptual design tool provides the possibility for the architect to work with both the aesthetic as well as the structural aspects of architecture...... without jumping from aesthetics to structural digital design tools and back, but to work with both simultaneously and real time. The engineering level of knowledge is incorporated at a conceptual thinking level, i.e. qualitative information is used in stead of using quantitative information. An example...

  12. Principal component articial neural network calibration models for the simultaneous spectrophotometric estimation of mefenamic acid and paracetamol in tablets

    Directory of Open Access Journals (Sweden)

    RAJAPPAN MANAVALAN

    2006-11-01

    Full Text Available Simultaneous estimation of all drug components in a multicomponent analgesic dosage form with artificial neural networks calibration models using UV spectrophotometry is reported as a simple alternative to using separate models for each component. Anovel approach for calibration using a compund spectral dataset derived from three spectra of each component is described. The spectra of mefenamic acid and paracetamol were recorded as several concentrations within their linear range and used to compute a calibration mixture between the wavelengths 220 to 340 nm. Neural networks trained by a Levenberg–Marquardt algorithm were used for building and optimizing the calibration models using MATALAB® Neural Network Toolbox and were compared with the principal component regression model. The calibration models were throughly evaluated at several concentration levels using 104 spectra obtained for 52 synthetic binary mixtures prepared using orthogonal designs. The optimized model showed sufficient robustness even when the calibration sets were constructed from a different set of pure spectra of the components. The simultaneous prediction of both components by a single neural netwook with the suggested calibration approach was successful. The model could accurately estimate the drugs, with satisfactory precision and accuracy, in tablet dosage with no interference from excipients as indicated by the results of a recovery study.

  13. Simultaneous algebraic reconstruction technique based on guided image filtering.

    Science.gov (United States)

    Ji, Dongjiang; Qu, Gangrong; Liu, Baodong

    2016-07-11

    The challenge of computed tomography is to reconstruct high-quality images from few-view projections. Using a prior guidance image, guided image filtering smoothes images while preserving edge features. The prior guidance image can be incorporated into the image reconstruction process to improve image quality. We propose a new simultaneous algebraic reconstruction technique based on guided image filtering. Specifically, the prior guidance image is updated in the image reconstruction process, merging information iteratively. To validate the algorithm practicality and efficiency, experiments were performed with numerical phantom projection data and real projection data. The results demonstrate that the proposed method is effective and efficient for nondestructive testing and rock mechanics. PMID:27410859

  14. Pluig 'n Train - A Component Based Approach

    Directory of Open Access Journals (Sweden)

    Alke Martens

    2010-10-01

    Full Text Available Technology enhanced learning can look back on a comparably long tradition. Surprisingly, the software systems in this field are seldom constructed based on state-of-the art insights in software engineering. Using basic software engineering techniques involves system descriptions on a formal and abstract level, to use patterns for software development, and to implement the system in a re-usable and adaptable way. Our component based framework JaBInT (Java Based Intelligent Tutoring, which is based on a firm software engineering ground, allows for re-usability, adaptability, and flexibility in system development -- and might thus be a basis for teaching and training software used in ubiquitous learning as well.

  15. [Simultaneous determination of six components in hair dyes by ultra performance liquid chromatography-tandem mass spectrometry].

    Science.gov (United States)

    You, Feiming

    2015-01-01

    A sensitive method was developed for the simultaneous determination of six components which included 4, 4'-diaminodiphenylamine sulfate hydrate and 2,4-diaminophenol sulfate, etc. in hair dyes by ultra performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). After extracted by water through ultrasonic extraction, the samples were analyzed by UPLC-MS/MS. The separation was performed on a Waters BEH-C18 column (100 mmx 2.1 mm, 1.7 microm) with gradient elution of 10 mmol/L ammonium acetate and acetonitrile. The electrospray ionization (ESI) source in positive ion mode was used for the analysis of the six components in the multiple reaction monitoring (MRM) mode. The results showed good linear relationships with all the correlation coefficients (R2) more than 0.99. The limits of detection (LODs, S/N=3) for the six components were in the range of 0.26-4.6 mg/kg. The average recoveries of the six components in the spiked samples were in the range of 83.0%-92.2% with the relative standard deviations (RSDs, n=6) of 5.4%-11.2%. The precision, accuracy, mean recoveries and the matrix effects satisfied the requirements of cosmetic sample measurement. The proposed method has been applied to the determination of six dyes in actual samples. This method is simple, accurate and effective for the simultaneous determination of the six components in hair dyes. PMID:25958662

  16. All set, indeed! N2pc components reveal simultaneous attentional control settings for multiple target colours

    OpenAIRE

    Grubert, Anna; Eimer, Martin

    2016-01-01

    To study whether top-down attentional control processes can be set simultaneously for different visual features, we employed a spatial cueing procedure to measure behavioural and electrophysiological markers of task-set contingent attentional capture during search for one or two possible colour-defined targets (One Colour and Two Colour tasks). Search arrays were preceded by spatially non-predictive colour singleton cues. Behavioural spatial cueing effects indicative of attentional capture we...

  17. Components of production and corn yield intercropped with forages in simultaneous sowing

    OpenAIRE

    Denise Tsuzukibashi; Cássia Maria de Paula Garcia; Marcelo Andreotti; Marcelo Carvalho Minhoto Teixeira Filho; Keny Samejima Mascarenha Lopes; Ciniro Costa

    2013-01-01

    In the past, the integration of grain with cattle activity was limited to restricted options. Nowadays, however, there are numerous offers technology applicable to various concerns and socio-economic situation of producers. The integrated crop-livestock (ICL) can be made by the intercrop, succession or crop rotation with annual grasses. The work aimed to evaluate the grain yield of irrigated corn crop intercropped with forages of the genus Panicum and Urochloa in simultaneous sowing with corn...

  18. [Simultaneous determination of three components in compound clorprenaline tablet by using the derivative-complementary tristimulus method].

    Science.gov (United States)

    Li, Q Y; Zhuo, Z L; Chen, Y W

    1990-01-01

    Clorprenaline hydrochloride (a), bromhexine hydrochloride (b) and decloxizine hydrochloride (c) are three main components in clorprenaline compound tablet. The serious overlapping bands of their absorption spectra cause the interference in the determinations, especially the component of (a) which has both minor content and low absorption coefficient, thus making the analysis difficult. In this paper, the interference from matrix is eliminated by using first order derivative transformation. In combination with complementary tristimulus method and with the technique of additions, the concentrations of three components in tablets can be successfully determined simultaneously. A software developed in this laboratory makes possible the ease of parameter selection, reporting data in various formats and printing figures of dissolution process, showing a clear locus. This method will be of value to quality control in manufacturing process and to the research of the dissolution dynamics of tablets in simulated stomach. PMID:2284956

  19. Simultaneous Determination of Five Components Including Acetaminophen by Reversed-phase High Performance Liquid Chromatography

    Institute of Scientific and Technical Information of China (English)

    ZHANG Li-qing; WU Xiao-hua; LU Ying; WANG Xia

    2004-01-01

    High performance liquid chromatography with a C18 reverse-phase column was used to separatethe five components in cough syrup, including acetaminophen, p-aminophenol, caffeine, chlorphenamine maleateand guaifenesin. The mobile phase consists of 15wi% acetonitrile, 0.004mol/L sodium heptyl sulfonate,0.03 mole/L potassium di- hydrogen phosphate and triethylamine ( volume ratio 13: 40: 44: 3), the pH of which isadjusted to 3.0 by phosphoric acid. The contents of the five components are analyzed on an ultraviolet spectropho-tometer at 254nm, with a flow rate of 0.4mL/min. The results show that the calibration curves are linear in acertain range. The average recovery of five components is between 96.31% and 102.3% .

  20. Simultaneous Estimation of Four Antitussive Components from Herbal Cough Syrup by HPTLC.

    Science.gov (United States)

    Deore, Sharada L; Jaju, Payal S; Baviskar, Bhushan A

    2014-01-01

    A new simple, rapid, selective and precise high performance thin layer chromatographic (HPTLC) method has been developed for simultaneous estimation of vasicine, glycyrrhizin, eugenol, and cineole in herbal cough syrup. The retention factors of vasicine, glycyrrhizin, eugenol, and cineole are 0.53, 0.44, 0.75, and 0.77, respectively. Chromatography was performed on 60F254 percolated TLC plate using n-hexane : ethyl acetate : glacial acetic acid (8.5 : 1.0 : 0.5 v/v/v). Methods are validated according to ICH guidelines and can be adopted for the routine analysis of vasicine, glycyrrhizin, eugenol and cineole in herbal cough syrup. PMID:27382629

  1. Simultaneous Replication of both Refractive and Diffractive Optical Components using Electroformed Tools and Injection Moulding

    DEFF Research Database (Denmark)

    Tang, Peter Torben; Christensen, Thomas R.

    2003-01-01

    lenses) in glass are mounted. Using physical vapour deposition (PVD) a thin conducting layer of gold is deposited on the entire surface. On this substrate 50 ìm of nickel and 3000 ìm of copper is deposited using electroforming processes. Various types of mechanical machining is then performed while the......-moulding machine, and used to replicate the original glass components in polymer (PMMA, PC or COC). AFM measurements of the replication quality of a diffractive grating were used for most of the evaluation, both other components on the test tools were examined as well. The results of the project are an optimised...... electrochemical procedure for the fabrication of accurate electroformed tools and a number of important findings regarding the conditions for the injection moulding process required for exact replication....

  2. Component Based Clustering in Wireless Sensor Networks

    CERN Document Server

    Amaxilatis, Dimitrios; Koninis, Christos; Pyrgelis, Apostolos

    2011-01-01

    Clustering is an important research topic for wireless sensor networks (WSNs). A large variety of approaches has been presented focusing on different performance metrics. Even though all of them have many practical applications, an extremely limited number of software implementations is available to the research community. Furthermore, these very few techniques are implemented for specific WSN systems or are integrated in complex applications. Thus it is very difficult to comparatively study their performance and almost impossible to reuse them in future applications under a different scope. In this work we study a large body of well established algorithms. We identify their main building blocks and propose a component-based architecture for developing clustering algorithms that (a) promotes exchangeability of algorithms thus enabling the fast prototyping of new approaches, (b) allows cross-layer implementations to realize complex applications, (c) offers a common platform to comparatively study the performan...

  3. Component failure data base of TRIGA reactors

    International Nuclear Information System (INIS)

    This compilation provides failure data such as first criticality, component type description (reactor component, population, cumulative calendar time, cumulative operating time, demands, failure mode, failures, failure rate, failure probability) and specific information on each type of component of TRIGA Mark-II reactors in Austria, Bangladesh, Germany, Finland, Indonesia, Italy, Indonesia, Slovenia and Romania. (nevyjel)

  4. Simultaneous Determination of Essential Oil Components and Fatty Acids in Fennel using Gas Chromatography with a Polar Capillary Column.

    Science.gov (United States)

    Najdoska-Bogdanov, Menče; Bogdanov, Jane B; Stefova, Marina

    2015-09-01

    Cultivated and wild growing samples of fennel (Foeniculum vulgare Mill., Apiaceae) from R. Macedonia were studied for their volatiles and fatty acid composition. The main essential oil components isolated via hydrodistillation were: trans-anethole (>80%), estragole (hexane and dichloromethane (3:1, v/v) in a Soxhlet extraction followed by transesterification. The obtained extracts were then characterized and the dominant fatty acid was 18:1 (petroselinic and oleic acid) 75.0-82.8%, followed by 18:2 (linoleic acid) 10.8-16.2% and other fatty acids: palmitic (4.3-6.9%), stearic (1.2-1.7%) and myristic (0-2.9%). The results for the volatile fraction after Soxhlet extraction and transesterification did not significantly differ from results obtained after hydrodistillation, especially for the main components (trans-anethole, estragole, fenchone and limonene), implying that the developed method can be used for simultaneous determination of volatiles and fatty acids. PMID:26594773

  5. Semantic network based component organization model for program mining

    Institute of Scientific and Technical Information of China (English)

    王斌; 张尧学; 陈松乔

    2003-01-01

    Based on the definition of component ontology, an effective component classification mechanism and a facet named component relationship are proposed. Then an application domain oriented, hierarchical component organization model is established. At last a hierarchical component semantic network (HCSN) described by ontology interchange language(OIL) is presented and then its function is described. Using HCSN and cooperating with other components retrieving algorithms based on component description, other components information and their assembly or composite modes related to the key component can be found. Based on HCSN, component directory library is catalogued and a prototype system is constructed. The prototype system proves that component library organization based on this model gives guarantee to the reliability of component assembly during program mining.

  6. Digital image restoration based on pixel simultaneous detection probabilities

    CERN Document Server

    Grabskii, V

    2008-01-01

    Here an image restoration on the basis of pixel simultaneous detection probabilities (PSDP) is proposed. These probabilities can be precisely determined by means of correlations measurement [NIMA 586 (2008) 314-326]. The proposed image restoration is based on the solution of matrix equation. Non-zero elements of Toeplitz block matrix with ones on the main diagonal, is determined using PSDP. The number of non zero descending diagonals depends on the detector construction and is not always smaller than 8. To solve the matrix equation, the Gaussian elimination algorithm is used. The proposed restoration algorithm is studied by means of the simulated images (with and without additive noise using PSDP for General Electric Senographe 2000D mammography device detector) and a small area (160x160 pixels) of real images acquired by the above mentioned device. The estimation errors of PSDP and the additive noise magnitude permits to restore images with the precision better than 2% for the above mentioned detector. The a...

  7. A systematic approach for component-based software development

    OpenAIRE

    Guareis de Farias, C.R.; Sinderen, van, Marten; Ferreira Pires, L.

    2000-01-01

    Component-based software development enables the construction of software artefacts by assembling prefabricated, configurable and independently evolving building blocks, called software components. This paper presents an approach for the development of component-based software artefacts. This approach consists of splitting the software development process according to four abstraction levels, viz., enterprise, system, component and object, and three different views, viz., structural, behaviou...

  8. Measuring Electrolyte Impedance and Noise Simultaneously by Triangular Waveform Voltage and Principal Component Analysis.

    Science.gov (United States)

    Xu, Shanzhi; Wang, Peng; Dong, Yonggui

    2016-01-01

    In order to measure the impedance variation process in electrolyte solutions, a method of triangular waveform voltage excitation is investigated together with principal component analysis (PCA). Using triangular waveform voltage as the excitation signal, the response current during one duty cycle is sampled to construct a measurement vector. The measurement matrix is then constructed by the measurement vectors obtained from different measurements. After being processed by PCA, the changing information of solution impedance is contained in the loading vectors while the response current and noise information is contained in the score vectors. The measurement results of impedance variation by the proposed signal processing method are independent of the equivalent impedance model. The noise-induced problems encountered during equivalent impedance calculation are therefore avoided, and the real-time variation information of noise in the electrode-electrolyte interface can be extracted at the same time. Planar-interdigitated electrodes are experimentally tested for monitoring the KCl concentration variation process. Experimental results indicate that the measured impedance variation curve reflects the changing process of solution conductivity, and the amplitude distribution of the noise during one duty cycle can be utilized to analyze the contact conditions of the electrode and electrolyte interface. PMID:27110787

  9. Using Sculptor and Situs for Simultaneous Assembly of Atomic Components into Low-Resolution Shapes

    OpenAIRE

    Birmanns, Stefan; Rusu, Mirabela; Wriggers, Willy

    2010-01-01

    We describe an integrated software system called Sculptor that combines visualization capabilities with molecular modeling algorithms for the analysis of multi-scale data sets. Sculptor features extensive special purpose visualization techniques that are based on modern GPU programming and are capable of representing complex molecular assemblies in real-time. The integration of graphics and modeling offers several advantages. The user interface not only eases the usually steep learning curve ...

  10. Component-Based Software Reuse on the World Wide Web

    Institute of Scientific and Technical Information of China (English)

    2000-01-01

    Component-based software reuse (CBSR) has been widely used in software developing practice and has an even more brilliant future with the rapid extension of the Internet, because World Wide Web (WWW) makes the large scale of component resources from different vendors become available to software developers. In this paper, an abstract component model suitable for representing components on WWW isproposed, which plays important roles both in achieving interoperability among components and amongreusable component libraries (RCLs). Some necessary changes to many aspects of component management brought by WWW are also discussed, such as the classification of components and the corresponding searching methods, and the certification of components.

  11. Considerations for RFID-Based Indoor Simultaneous Tracking

    Science.gov (United States)

    Papapostolou, Apostolia; Chaouchi, Hakima

    Context-aware applications is not just a vision. Advances in wireless communications and mobile capabilities have revolutionized the way services are brought to users, i.e. adapted to their context. Location is a key attribute of the term context and thus, an accurate location determination system is of paramount importance. RFID (Radio Frequency IDentification) is an emerging technology and recently has been explored for its applicability in location sensing systems. In this paper, we focus on an RFID-based localization approach in an indoor multi-user environment and model its most adverse implicating factors, that is collisions among its main components and interference from indoor characteristics. Extensive simulations are conducted to characterize and evaluate the performance behavior of the proposed scheme in environments with different levels of severity.

  12. Decision-Theoretic Bidding Based on Learned Density Models in Simultaneous, Interacting Auctions

    CERN Document Server

    Csirik, J A; McAllester, D; Schapire, R E; Stone, P; 10.1613/jair.1200

    2011-01-01

    Auctions are becoming an increasingly popular method for transacting business, especially over the Internet. This article presents a general approach to building autonomous bidding agents to bid in multiple simultaneous auctions for interacting goods. A core component of our approach learns a model of the empirical price dynamics based on past data and uses the model to analytically calculate, to the greatest extent possible, optimal bids. We introduce a new and general boosting-based algorithm for conditional density estimation problems of this kind, i.e., supervised learning problems in which the goal is to estimate the entire conditional distribution of the real-valued label. This approach is fully implemented as ATTac-2001, a top-scoring agent in the second Trading Agent Competition (TAC-01). We present experiments demonstrating the effectiveness of our boosting-based price predictor relative to several reasonable alternatives.

  13. The Component-Based Application for GAMESS

    Energy Technology Data Exchange (ETDEWEB)

    Peng, Fang

    2008-05-01

    GAMESS, a quantum chetnistry program for electronic structure calculations, has been freely shared by high-performance application scientists for over twenty years. It provides a rich set of functionalities and can be run on a variety of parallel platforms through a distributed data interface. While a chemistry computation is sophisticated and hard to develop, the resource sharing among different chemistry packages will accelerate the development of new computations and encourage the cooperation of scientists from universities and laboratories. Common Component Architecture (CCA) offers an enviromnent that allows scientific packages to dynamically interact with each other through components, which enable dynamic coupling of GAMESS with other chetnistry packages, such as MPQC and NWChem. Conceptually, a cotnputation can be constructed with "plug-and-play" components from scientific packages and require more than componentizing functions/subroutines of interest, especially for large-scale scientific packages with a long development history. In this research, we present our efforts to construct cotnponents for GAMESS that conform to the CCA specification. The goal is to enable the fine-grained interoperability between three quantum chemistry programs, GAMESS, MPQC and NWChem, via components. We focus on one of the three packages, GAMESS; delineate the structure of GAMESS computations, followed by our approaches to its component development. Then we use GAMESS as the driver to interoperate integral components from the other tw"o packages, arid show the solutions for interoperability problems along with preliminary results. To justify the versatility of the design, the Tuning and Analysis Utility (TAU) components have been coupled with GAMESS and its components, so that the performance of GAMESS and its components may be analyzed for a wide range of systetn parameters.

  14. The development of component-based information systems

    CERN Document Server

    Cesare, Sergio de; Macredie, Robert

    2015-01-01

    This work provides a comprehensive overview of research and practical issues relating to component-based development information systems (CBIS). Spanning the organizational, developmental, and technical aspects of the subject, the original research included here provides fresh insights into successful CBIS technology and application. Part I covers component-based development methodologies and system architectures. Part II analyzes different aspects of managing component-based development. Part III investigates component-based development versus commercial off-the-shelf products (COTS), includi

  15. A Combined Approach for Component-based Software Design

    OpenAIRE

    Guareis de Farias, C.R.; Sinderen, van, Marten; Ferreira Pires, L.; Quartel, D.; Baldoni, R.

    2001-01-01

    Component-based software development enables the construction of software artefacts by assembling binary units of production, distribution and deployment, the so-called software components. Several approaches addressing component-based development have been proposed recently. Most of these approaches are based on the Unified Modeling Language (UML). UML has been increasingly used in component-based development, despite some shortcomings associated with this language. This paper presents a met...

  16. [Simultaneous determination of inhibitive components in anti-acne cosmetics by reversed-phase high performance liquid chromatography].

    Science.gov (United States)

    Wu, Ting; Wang, Chao; Li, Nan

    2006-11-01

    The inhibitive components in anti-acne cosmetics including spironolactone, benzoyl peroxide, and tretinoin were simultaneously determined by reversed-phase high performance liquid chromatography (RP-HPLC). The cosmetics were extracted with methanol by microwave and analyzed by high performance liquid chromatography. The HPLC conditions were as follows: Kromasil C18 column (4.6 mm i. d. x 250 mm, 5 microm), methanol and phosphate buffer as mobile phase with gradient elution at a flow rate of 1.0 mL/min, UV detection at 265 nm. Three components were separated completely within 11 min. The calibration curves of the three compounds were linear (nu > 0.999 9) between 1 and 200 mg/L. The average recoveries were from 88.2% to 106.7% with relative standard deviations lower than 3. 1%. The detection limits (S/N = 3) were 0.101 mmicrog for spironolactone, 0.100 microg for benzoyl peroxide, and 0. 107 microg for tretinoin. The method is simple and rapid with high accuracy, and suitable for the determination of the 3 inhibitive components in anti-acne cosmetics. PMID:17288140

  17. Simultaneous Principal-Component Extraction with Application to Adaptive Blind Multiuser Detection

    Directory of Open Access Journals (Sweden)

    Erdogmus Deniz

    2002-01-01

    Full Text Available SIPEX-G is a fast-converging, robust, gradient-based PCA algorithm that has been recently proposed by the authors. Its superior performance in synthetic and real data compared with its benchmark counterparts makes it a viable alternative in applications where subspace methods are employed. Blind multiuser detection is one such area, where subspace methods, recently developed by researchers, have proven effective. In this paper, the SIPEX-G algorithm is presented in detail, convergence proofs are derived, and the performance is demonstrated in standard subspace problems. These sub space problems include direction of arrival estimation for incoming signals impinging on a linear array of sensors, nonstationary random process subspace tracking, and adaptive blind multiuser detection.

  18. Component design bases - A template approach

    International Nuclear Information System (INIS)

    A well-documented nuclear plant design basis can enhance plant safety and availability. Older plants, however, often lack historical evidence of the original design intent, particularly for individual components. Most plant documentation describes the actual design (what is) rather than the bounding limits of the design. Without knowledge of these design limits, information from system descriptions and equipment specifications is often interpreted as inviolate design requirements. Such interpretations may lead to unnecessary design conservatism in plant modifications and unnecessary restrictions on plant operation. In 1986, Florida Power and Light Company's (FP and L's) Turkey Point plant embarked on one of the first design basis reconstitution programs in the United States to catalog the true design requirements. As the program developed, design basis users expressed a need for additional information at the component level. This paper outlines a structured (template) approach to develop useful component design basis information (including the WHYs behind the design)

  19. Simultaneous determination of active component and vehicle penetration from F-DPPC liposomes into porcine skin layers.

    Science.gov (United States)

    Mahrhauser, Denise-Silvia; Reznicek, Gottfried; Gehrig, Sebastian; Geyer, Antonia; Ogris, Manfred; Kieweler, Ruth; Valenta, Claudia

    2015-11-01

    Liposomes have been used as innovative delivery vehicles on skin for a number of years due to their positive influence on skin penetration. However, until now it is not entirely clear how and by which mechanism enhancement is achieved. In the present study, the skin permeation of a model substance incorporated into liposomes and a control formulation was compared to study the influence of the vehicle in Franz-type diffusion cell experiments. Furthermore, the penetration depths of both components were studied by simultaneous determination of the active substance and the vehicle component during tape stripping studies and horizontal sectioning. For these purposes we prepared liposomes with 1-palmitoyl-2-(16-fluoropalmitoyl)-sn-glycero-3-phosphocholine (F-DPPC), the monofluorinated analogue of dipalmitoylphosphaditylcholine (DPPC) loaded with sodium fluorescein (SoFl). A sodium-fluorescein solution was used as control formulation. While the semi-solid F-DPPC liposomes and the SoFl-solution performed equally well with similar permeation profiles during skin diffusion experiments, superior penetrated amounts of SoFl into the stratum corneum (SC) from F-DPPC liposomes compared to the SoFl-solution were observed possibly due to a "push" exerted by the vehicle F-DPPC. We also showed that SoFl penetrated through SC into the viable epidermis. PMID:26493713

  20. AN EVEN COMPONENT BASED FACE RECOGNITION METHOD

    Institute of Scientific and Technical Information of China (English)

    2005-01-01

    This paper presents a novel face recognition algorithm. To provide additional variations to training data set, even-odd decomposition is adopted, and only the even components (half-even face images) are used for further processing. To tackle with shift-variant problem,Fourier transform is applied to half-even face images. To reduce the dimension of an image,PCA (Principle Component Analysis) features are extracted from the amplitude spectrum of half-even face images. Finally, nearest neighbor classifier is employed for the task of classification. Experimental results on ORL database show that the proposed method outperforms in terms of accuracy the conventional eigenface method which applies PCA on original images and the eigenface method which uses both the original images and their mirror images as training set.

  1. Multiple Component Based Information Tracking System

    Directory of Open Access Journals (Sweden)

    Mathi Seelan.V

    2011-06-01

    Full Text Available Tracking Browsing history in internet is essential because web contents changes dynamically and webusers would like to re-visit the web pages which they have visited in the past. The paper proposes andbuilds a System which integrates popular search engines and browsing history Information TrackingSystem (I-TS, Information Track System in a single website. That tracks and maintains the browsinghistory for various components, as per users needs. I-TS consists of three main components, named asSearch System, Keyword Summary and Item Viewed Summary. Search Area System as a Meta-searchengine will direct to a commercial search engine, get the hits, do further analysis and derive a number ofmost relevant domain sites. Keyword Summary will extract the keyword, count, item (web, image, video,news and date time. Item Name Summary will first extract the URL with item, count and item name. TheProposed System is implemented and Results are shown below.

  2. Environmental and genetic effects on pigment-based vs. structural component of yellow feather colouration.

    Directory of Open Access Journals (Sweden)

    Jana Matrková

    Full Text Available BACKGROUND: Carotenoid plumage is of widespread use in bird communication. Carotenoid-based feather colouration has recently been shown to be dependent on both pigment concentration and feather structure. If these two components are determined differently, one plumage patch may potentially convey different aspects of individual quality. METHODOLOGY/PRINCIPAL FINDINGS: We evaluated the effects of genetic and environmental factors on carotenoid-based yellow breast colouration of Great Tit (Parus major nestlings. By partial cross-fostering, we separated the genetic and pre-natal vs. post-natal parental effects on both the structural and the pigment-based component of carotenoid-based plumage colouration. We also simultaneously manipulated the post-hatching environment by brood size manipulation. The structural component of nestling colouration reflected features of female colouration. On the other hand, the pigment-based component was more affected by rearing conditions presumably representing food quality. While the structural component was related to both origin- and environment-related factors, the pigment-based component seemed to be environment-dependent only. These results support the notion that pigment-based and structural components of feather colouration are determined differently. CONCLUSIONS/SIGNIFICANCE: Chromatic and achromatic components of carotenoid-based feather colouration reflected different aspects of individual quality and history, and thus may potentially form a multicomponent signal.

  3. Study of engine noise based on independent component analysis

    Institute of Scientific and Technical Information of China (English)

    HAO Zhi-yong; JIN Yan; YANG Chen

    2007-01-01

    Independent component analysis was applied to analyze the acoustic signals from diesel engine. First the basic principle of independent component analysis (ICA) was reviewed. Diesel engine acoustic signal was decomposed into several independent components (Ics); Fourier transform and continuous wavelet transform (CWT) were applied to analyze the independent components. Different noise sources of the diesel engine were separated, based on the characteristics of different component in time-frequency domain.

  4. Towards Aspectual Component-Based Real-Time System Development

    OpenAIRE

    Tešanović, Aleksandra

    2003-01-01

    Increasing complexity of real-time systems and demands for enabling their configurability and tailorability are strong motivations for applying new software engineering principles such as aspect-oriented and component-based software development. The integration of these two techniques into real-time systems development would enable: (i) efficient system configuration from the components in the component library based on the system requirements, (ii) easy tailoring of components and/or a syste...

  5. A refinement driven component-based design

    DEFF Research Database (Denmark)

    Chen, Zhenbang; Liu, Zhiming; Ravn, Anders Peter;

    2007-01-01

    Modern software development has to deal with many different aspects and different views of applications. Thus it needs different modelling notations and tools to support more and more phases of the entire development process. To ensure the correctness of the models produced, the tools need to...... work on the Common Component Modelling Example (CoCoME). This gives evidence that the formal techniques developed in rCOS can be integrated into a model-driven development process and shows where it may be integrated in computer-aided software engineering (CASE) tools for adding formally supported...

  6. GaN-Based Heterojunction Structures for Simultaneous Detection of Ultraviolet/Infrared Radiation

    Science.gov (United States)

    Jayasinghe, R.; Ariyawansa, G.; Dietz, N.; Perera, A. G. U.; Matsik, S.; Ferguson, I.; Laframboise, S.; Bezinger, A.; Buchanan, M.; Liu, H. C.

    2009-11-01

    Ultraviolet and infrared (UV/IR) dual-band photodetectors have potential applications in various areas, such as fire/flame detection, solar astronomy, military sensing, situational awareness applications, and combustion process monitoring. Since GaN-based UV/IR detectors do not respond to solar or artificial visible lighting, the false detection rate is strongly reduced. Use of a single detector for detecting UV/IR can also eliminate the difficulties of operating several individual detectors with separate electronics and cooling mechanisms. Here, we report a dual-band detector which simultaneously detects UV (250 -- 360 nm) and IR (5 -- 14 μm) regions, showing near zero spectral crosstalk. This allows the detection of both UV and IR incident radiation, separately identifying the relative strength of each photocurrent component. Further improvements for the detector are also discussed.

  7. Aptamer- and nucleic acid enzyme-based systems for simultaneous detection of multiple analytes

    Science.gov (United States)

    Lu, Yi; Liu, Juewen

    2011-11-15

    The present invention provides aptamer- and nucleic acid enzyme-based systems for simultaneously determining the presence and optionally the concentration of multiple analytes in a sample. Methods of utilizing the system and kits that include the sensor components are also provided. The system includes a first reactive polynucleotide that reacts to a first analyte; a second reactive polynucleotide that reacts to a second analyte; a third polynucleotide; a fourth polynucleotide; a first particle, coupled to the third polynucleotide; a second particle, coupled to the fourth polynucleotide; and at least one quencher, for quenching emissions of the first and second quantum dots, coupled to the first and second reactive polynucleotides. The first particle includes a quantum dot having a first emission wavelength. The second particle includes a second quantum dot having a second emission wavelength different from the first emission wavelength. The third polynucleotide and the fourth polynucleotide are different.

  8. Face Recognition Based on Principal Component Analysis

    Directory of Open Access Journals (Sweden)

    Ali Javed

    2013-02-01

    Full Text Available The purpose of the proposed research work is to develop a computer system that can recognize a person by comparing the characteristics of face to those of known individuals. The main focus is on frontal two dimensional images that are taken in a controlled environment i.e. the illumination and the background will be constant. All the other methods of person’s identification and verification like iris scan or finger print scan require high quality and costly equipment’s but in face recognition we only require a normal camera giving us a 2-D frontal image of the person that will be used for the process of the person’s recognition. Principal Component Analysis technique has been used in the proposed system of face recognition. The purpose is to compare the results of the technique under the different conditions and to find the most efficient approach for developing a facial recognition system

  9. Design and daytime performance of laser-induced fluorescence spectrum lidar for simultaneous detection of multiple components, dissolved organic matter, phycocyanin, and chlorophyll in river water.

    Science.gov (United States)

    Saito, Yasunori; Kakuda, Kei; Yokoyama, Mizuho; Kubota, Tomoki; Tomida, Takayuki; Park, Ho-Dong

    2016-08-20

    In this work, we developed mobile laser-induced fluorescence spectrum (LIFS) lidar based on preliminary experiments on the excitation emission matrix of a water sample and a method for reducing solar background light using the synchronous detection technique. The combination of a UV short-pulse laser (355 nm, 6 ns) for fluorescence excitation with a 10-100 ns short-time synchronous detection using a gated image-intensified multi-channel CCD of the fluorescence made the LIFS lidar operation possible even in daytime. The LIFS lidar with this construction demonstrated the potential of natural river/lake water quality monitoring at the Tenryu River/Lake Suwa. Three main components in the fluorescence data of the water, dissolved organic matter, phycocyanin, and chlorophyll, were extracted by spectral analysis using the standard spectral functions of these components. Their concentrations were estimated by adapting experimentally calibrated data. Results of long-term field observations using our LIFS lidar from 2010 to 2012 show the necessity of simultaneous multi-component detection to understand the natural water environment. PMID:27556995

  10. Component-Based Framework for Subsurface Simulations

    Energy Technology Data Exchange (ETDEWEB)

    Palmer, Bruce J.; Fang, Yilin; Hammond, Glenn E.; Gurumoorthi, Vidhya

    2007-08-01

    Simulations in the subsurface environment represent a broad range of phenomena covering an equally broad range of scales. Developing modelling capabilities that can integrate models representing different phenomena acting at different scales present formidable challenges both from the algorithmic and computer science perspective. This paper will describe the development of an integrated framework that will be used to combine different models into a single simulation. Initial work has focused on creating two frameworks, one for performing smooth particle hydrodynamics (SPH) simulations of fluid systems, the other for performing grid-based continuum simulations of reactive subsurface flow. The SPH framework is based on a parallel code developed for doing pore scale simulations, the continuum grid-based framework is based on the STOMP (Subsurface Transport Over Multiple Phases) code developed at PNNL. Future work will focus on combining the frameworks together to perform multiscale, multiphysics simulations of reactive subsurface flow.

  11. Component-based Groupware Tailorability using Monitoring Facilities

    OpenAIRE

    Guareis de Farias, C.R.; Diakov, N.K.

    2000-01-01

    Tailorability has long been recognised as a key issue concerning groupware applications in general and component-based groupware applications in particular. Tailoring activities are usually classified according to three levels, viz., customisation, integration and extension. This paper presents an approach to component-based tailoring based on the use of monitoring extensions. Our approach allows the extension and integration of new components into a legacy groupware application without the n...

  12. Si-based RF MEMS components.

    Energy Technology Data Exchange (ETDEWEB)

    Stevens, James E.; Nordquist, Christopher Daniel; Baker, Michael Sean; Fleming, James Grant; Stewart, Harold D.; Dyck, Christopher William

    2005-01-01

    Radio frequency microelectromechanical systems (RF MEMS) are an enabling technology for next-generation communications and radar systems in both military and commercial sectors. RF MEMS-based reconfigurable circuits outperform solid-state circuits in terms of insertion loss, linearity, and static power consumption and are advantageous in applications where high signal power and nanosecond switching speeds are not required. We have demonstrated a number of RF MEMS switches on high-resistivity silicon (high-R Si) that were fabricated by leveraging the volume manufacturing processes available in the Microelectronics Development Laboratory (MDL), a Class-1, radiation-hardened CMOS manufacturing facility. We describe novel tungsten and aluminum-based processes, and present results of switches developed in each of these processes. Series and shunt ohmic switches and shunt capacitive switches were successfully demonstrated. The implications of fabricating on high-R Si and suggested future directions for developing low-loss RF MEMS-based circuits are also discussed.

  13. Simultaneous polarization Mirau interferometer based on pixelated polarization camera.

    Science.gov (United States)

    Wang, Daodang; Liang, Rongguang

    2016-01-01

    We propose a polarization Mirau interferometer using the pixelated polarization camera to acquire the four phase-shifted interferograms simultaneously by which motionless phase shift can be realized. A wire-grid polarizer is employed as the polarization beam splitter to realize the adjustable fringe contrast. Due to the limited contrast ratio of split orthogonally polarized beams with a wire grid polarizer, the corresponding calibration method by superposition of exchanged transmitted and reflected beams is proposed to obtain the uniform fringe contrast in four phase-shifted interferograms. The accuracy of the proposed system is demonstrated experimentally, and a precision better than 1/500 wavelength is achieved. The proposed system provides a feasible way to obtain the instantaneous measurement with minimizing environmental disturbance. PMID:26696153

  14. Base isolation strategies for structures and components

    International Nuclear Information System (INIS)

    In the present report the effect of laminated rubber bearing (LRB) system on the dynamic response of the structure was studied. A LRB system was designed and tested in the laboratory for its dynamic characteristics. Finite element analysis was also performed and based on this analysis, isolator for PHWR nuclear power plant was designed. Analysis of the building was performed with and without isolator. Comparison of responses was made in terms of frequencies, accelerations and displacements and floor response spectra. (author)

  15. Component-Based Approach in Learning Management System Development

    Science.gov (United States)

    Zaitseva, Larisa; Bule, Jekaterina; Makarov, Sergey

    2013-01-01

    The paper describes component-based approach (CBA) for learning management system development. Learning object as components of e-learning courses and their metadata is considered. The architecture of learning management system based on CBA being developed in Riga Technical University, namely its architecture, elements and possibilities are…

  16. Component-based Control Software Design for Flexible Manufacturing System

    Institute of Scientific and Technical Information of China (English)

    周炳海; 奚立峰; 曹永上

    2003-01-01

    A new method that designs and implements the component-based distributed & hierarchical flexible manufacturing control software is described with a component concept in this paper. The proposed method takes aim at improving the flexibility and reliability of the control system. On the basis of describing the concepts of component-based software and the distributed object technology, the architecture of the component-based software of the control system is suggested with the Common Object Request Broker Architecture (CORBA). And then, we propose a design method for component-based distributed & hierarchical flexible manufacturing control system. Finally, to verify the software design method, a prototype flexible manufacturing control system software has been implemented in Orbix 2. 3c, VC++6.0 and has been tested in connection with the physical flexible ranufacturing shop at the WuXi Professional Institute.

  17. A NEW APPROACH OF SIMULTANEOUS FAULTS DIAGNOSIS BASED ON RANDOM SETS AND DSMT

    Institute of Scientific and Technical Information of China (English)

    Li Zhiliang; Xu Xiaobin; Wen Chenglin

    2009-01-01

    Simultaneous faults often occur in running equipments, in order to solve the problems of the simultaneous faults, a new approach based on random sets and Dezert-Smarandache Theory (DSmT) is proposed in this paper. Firstly, the simultaneous faults' model is built based on the generalized frame of discernment in DSmT. Secondly, according to the unified description of combination rules in evidence reasoning based on random sets, a new combination rule for simultaneous faults diagnosis is proposed. Thirdly, according to the working characteristics and environment of the sensors used to acquire fault characteristic information, a new method to construct basic probability assignment function is proposed based on membership. Finally, diagnosis result is obtained by use of the new combination rule combined with decision rules. A case pertaining to the fault diagnosis for a multi-function rotor test-bed is given, and the result shows that the proposed diagnosis approach is feasible and efficient.

  18. Optimization of Component Based Software Engineering Model Using Neural Network

    Directory of Open Access Journals (Sweden)

    Gaurav Kumar

    2014-10-01

    Full Text Available The goal of Component Based Software Engineering (CBSE is to deliver high quality, more reliable and more maintainable software systems in a shorter time and within limited budget by reusing and combining existing quality components. A high quality system can be achieved by using quality components, framework and integration process that plays a significant role. So, techniques and methods used for quality assurance and assessment of a component based system is different from those of the traditional software engineering methodology. In this paper, we are presenting a model for optimizing Chidamber and Kemerer (CK metric values of component-based software. A deep analysis of a series of CK metrics of the software components design patterns is done and metric values are drawn from them. By using unsupervised neural network- Self Organizing Map, we have proposed a model that provides an optimized model for Software Component engineering model based on reusability that depends on CK metric values. Average, standard deviated and optimized values for the CK metric are compared and evaluated to show the optimized reusability of component based model.

  19. Intelligent Forecasting of Sintered Ore's Chemical Components Based on SVM

    Institute of Scientific and Technical Information of China (English)

    ZHONG Luo; WANG Qingbo; YUAN Jingling

    2011-01-01

    Using object mathematical model of traditional control theory can not solve the forecasting problem of the chemical components of sintered ore. In order to control complicated chemical components in the manufacturing process of sintered ore, some key techniques for intelligent forecasting of the chemical components of sintered ore are studied in this paper. A new intelligent forecasting system based on SVM is proposed and realized. The results show that the accuracy of predictive value of every component is more than 90%. The application of our system in related companies is for more than one year and has shown satisfactory results.

  20. Algorithmic fault tree construction by component-based system modeling

    International Nuclear Information System (INIS)

    Computer-aided fault tree generation can be easier, faster and less vulnerable to errors than the conventional manual fault tree construction. In this paper, a new approach for algorithmic fault tree generation is presented. The method mainly consists of a component-based system modeling procedure an a trace-back algorithm for fault tree synthesis. Components, as the building blocks of systems, are modeled using function tables and state transition tables. The proposed method can be used for a wide range of systems with various kinds of components, if an inclusive component database is developed. (author)

  1. Simultaneous Class-based and Live Video Streamed Teaching

    DEFF Research Database (Denmark)

    Ørngreen, Rikke; Levinsen, Karin Ellen Tweddell; Jelsbak, Vibe Alopaeus;

    2015-01-01

    choice of either attending teaching sessions in the traditional way or working from home via the Internet. The education was motivated to expand the use of technologysupported teaching, by offering a flexible study programme, thereby increasing the recruitment base. The analysis described in this article...... sheds light on the pedagogical challenges, the educational designs possible, the opportunities and constrains associated with video conferencing as a pedagogical practice, as well as the technological, structural and organisational conditions involved. In this paper a participatory action research...

  2. Flexible optical network components based on densely integrated microring resonators

    NARCIS (Netherlands)

    Geuzebroek, Douwe Harmen

    2005-01-01

    This thesis addresses the design, realization and characterization of reconfigurable optical network components based on multiple microring resonators. Since thermally tunable microring resonators can be used as wavelength selective space switches, very compact devices with high complexity and flexi

  3. A Component Based Heuristic Search Method with Evolutionary Eliminations

    CERN Document Server

    Li, Jingpeng; Burke, Edmund

    2009-01-01

    Nurse rostering is a complex scheduling problem that affects hospital personnel on a daily basis all over the world. This paper presents a new component-based approach with evolutionary eliminations, for a nurse scheduling problem arising at a major UK hospital. The main idea behind this technique is to decompose a schedule into its components (i.e. the allocated shift pattern of each nurse), and then to implement two evolutionary elimination strategies mimicking natural selection and natural mutation process on these components respectively to iteratively deliver better schedules. The worthiness of all components in the schedule has to be continuously demonstrated in order for them to remain there. This demonstration employs an evaluation function which evaluates how well each component contributes towards the final objective. Two elimination steps are then applied: the first elimination eliminates a number of components that are deemed not worthy to stay in the current schedule; the second elimination may a...

  4. Parallel PDE-Based Simulations Using the Common Component Architecture

    International Nuclear Information System (INIS)

    The complexity of parallel PDE-based simulations continues to increase as multimodel, multiphysics, and multi-institutional projects become widespread. A goal of component based software engineering in such large-scale simulations is to help manage this complexity by enabling better interoperability among various codes that have been independently developed by different groups. The Common Component Architecture (CCA) Forum is defining a component architecture specification to address the challenges of high-performance scientific computing. In addition, several execution frameworks, supporting infrastructure, and general purpose components are being developed. Furthermore, this group is collaborating with others in the high-performance computing community to design suites of domain-specific component interface specifications and underlying implementations. This chapter discusses recent work on leveraging these CCA efforts in parallel PDE-based simulations involving accelerator design, climate modeling, combustion, and accidental fires and explosions. We explain how component technology helps to address the different challenges posed by each of these applications, and we highlight how component interfaces built on existing parallel toolkits facilitate the reuse of software for parallel mesh manipulation, discretization, linear algebra, integration, optimization, and parallel data redistribution. We also present performance data to demonstrate the suitability of this approach, and we discuss strategies for applying component technologies to both new and existing applications

  5. Cloud Based Big Data Infrastructure: Architectural Components and Automated Provisioning

    OpenAIRE

    Demchenko, Yuri; Turkmen, Fatih; Blanchet, Christophe; Loomis, Charles; Laat, Caees de

    2016-01-01

    This paper describes the general architecture and functional components of the cloud based Big Data Infrastructure (BDI). The proposed BDI architecture is based on the analysis of the emerging Big Data and data intensive technologies and supported by the definition of the Big Data Architecture Framework (BDAF) that defines the following components of the Big Data technologies: Big Data definition, Data Management including data lifecycle and data structures, Big Data Infrastructure (generical...

  6. The National Cancer Institute Food Component Research Data Base

    OpenAIRE

    Herold, Pauline M.; Brooks, Emily M.; Roque, Julio; Marciniak, Thomas A.; Butrum, Ritva R.; Meagher, Kevin

    1988-01-01

    The Food Component Research Data Base (FCRDB) is a software package for IBM PC compatible computers that allows a nutritional researcher to perform complex retrievals on a food component data base (currently the USDA Handbook 8 data) using a structured food description language, the FDA/NCI Factored Food Vocabulary (FFV). The FCRDB software is written in the “C” language and uses a windowing interface for ease of use and bitmaps to achieve excellent response times for complex retrievals on a ...

  7. High-extensible scene graph framework based on component techniques

    Institute of Scientific and Technical Information of China (English)

    LI Qi-cheng; WANG Guo-ping; ZHOU Feng

    2006-01-01

    In this paper, a novel component-based scene graph is proposed, in which all objects in the scene are classified to different entities, and a scene can be represented as a hierarchical graph composed of the instances of entities. Each entity contains basic data and its operations which are encapsulated into the entity component. The entity possesses certain behaviours which are responses to rules and interaction defined by the high-level application. Such behaviours can be described by script or behaviours model. The component-based scene graph in the paper is more abstractive and high-level than traditional scene graphs. The contents of a scene could be extended flexibly by adding new entities and new entity components, and behaviour modification can be obtained by modifying the model components or behaviour scripts. Its robustness and efficiency are verified by many examples implemented in the Virtual Scenario developed by Peking University.

  8. Software component composition based on ADL and Middleware

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    How to compose prefabricated components is a key issue in component-based reuse. Research on Software Architecture (SA) and Component-based Software Development (CBSD) provides two hopeful solutions from different perspectives. SA provides a top-down approach to realizing component-based reuse. However, it pays insufficient attention to the refinement and implementation of the architectural descriptions, and does not provide the necessary capability to automate the transformation or composition to form a final executable application. CBSD provides a bottom-up way by using existing middleware infrastructures. However, these technologies do not take into account the systematic methodology that can guide the CBSD process, especially the component composition at higher abstract levels. We argue that it is a natural solution to combine these two approaches.   In this paper, an architecture-based component composition approach is presented. In this way, SA description, using mapping rules and mini-tools to narrow the gap between design and implementation, is used as the blueprint and middleware technology as the runtime scaffold for component composition. Our approach presents an ADL, which supports user-defined connectors and has an extensible framework, to specify software architectures. To map a SA description into implementation, it is necessary to map it first to an OO design model described in UML, then to the final implementation. The architectural description can be mapped into source code or executable code by using some ORB conforming to CORBA standard. Also a toolkit is provided to support this approach efficiently.

  9. Economical multiparty simultaneous quantum identity authentication based on Greenberger–Horne–Zeilinger states

    International Nuclear Information System (INIS)

    A multiparty simultaneous quantum identity authentication protocol based on Greenberger–Horne–Zeilinger (GHZ) states is proposed. The multi-user can be authenticated by a trusted third party (TTP) simultaneously. Compared with the scheme proposed recently (Wang et al 2006 Chin. Phys. Lett. 23(9) 2360), the proposed scheme has the advantages of consuming fewer quantum and classical resources and lessening the difficulty and intensity of necessary operations. (general)

  10. Quantitative evaluation of simultaneous reconstruction with model-based crosstalk compensation for 99mTc∕123I dual-isotope simultaneous acquisition brain SPECT

    OpenAIRE

    Du, Yong; Frey, Eric C.

    2009-01-01

    A model-based method has been previously developed to estimate and compensate for the crosstalk and downscatter contamination in simultaneous 123I∕99mTc dual-isotope SPECT imaging. In this method, photon scatter in the object is modeled using the effective source scatter estimate technique. Photon interactions with the collimator-detector are estimated using precalculated Monte Carlo simulated point response functions. Two different approaches, simultaneous and alternating model-based compens...

  11. Least Dependent Component Analysis Based on Mutual Information

    CERN Document Server

    Stögbauer, H; Astakhov, S A; Grassberger, P; St\\"ogbauer, Harald; Kraskov, Alexander; Astakhov, Sergey A.; Grassberger, Peter

    2004-01-01

    We propose to use precise estimators of mutual information (MI) to find least dependent components in a linearly mixed signal. On the one hand this seems to lead to better blind source separation than with any other presently available algorithm. On the other hand it has the advantage, compared to other implementations of `independent' component analysis (ICA) some of which are based on crude approximations for MI, that the numerical values of the MI can be used for: (i) estimating residual dependencies between the output components; (ii) estimating the reliability of the output, by comparing the pairwise MIs with those of re-mixed components; (iii) clustering the output according to the residual interdependencies. For the MI estimator we use a recently proposed k-nearest neighbor based algorithm. For time sequences we combine this with delay embedding, in order to take into account non-trivial time correlations. After several tests with artificial data, we apply the resulting MILCA (Mutual Information based ...

  12. Integration of Simulink Models with Component-based Software Models

    DEFF Research Database (Denmark)

    Marian, Nicolae

    2008-01-01

    constructs and process flow, then software code is generated. A Simulink model is a representation of the design or implementation of a physical system that satisfies a set of requirements. A software component-based system aims to organize system architecture and behaviour as a means of computation...... constraints. COMDES (Component-based Design of Software for Distributed Embedded Systems) is such a component-based system framework developed by the software engineering group of Mads Clausen Institute for Product Innovation (MCI), University of Southern Denmark. Once specified, the software model has to be......Model based development aims to facilitate the development of embedded control systems by emphasizing the separation of the design level from the implementation level. Model based design involves the use of multiple models that represent different views of a system, having different semantics of...

  13. Investigation on Supply Chain Management Based on ComponentConfiguration

    Institute of Scientific and Technical Information of China (English)

    张洁; 陈淮莉; 马登哲

    2004-01-01

    From supply-push mode to demand-pull mode, SCM systems will face four main points: (1) real time visibility that covers the whole supply chain, (2) agility for choice of supply and source, (3) response to diverse customer demands and short delivery deadlines, and (4) rapid occurrence of new products following the market trends and new designs. Component-based SCM has become a hot spot in research areas. A multi-layer framework is set up, including a database server layer, an application server layer, a kernel component layer and a user interface layer. Some function components are designed, which are optimal planning arithmetic components, controller components and evaluation indexes components, in order to suit both discrete and continuous manufacturing. This paper studies a three-dimensional SCM configuration method based on the types of enterprise, manufacturing and products, provides powerful tools for SCM system implementations, and adopts an object-oriented technology to construct component-based distributed information system to assure right time, right materials, right place, right quantity and right customers.

  14. A component based software framework for vision measurement

    Science.gov (United States)

    He, Lingsong; Bei, Lei

    2011-12-01

    In vision measurement applications, it is usually used to achieve an optimal result by combing different processing steps and algorithms .This paper proposes a component based software framework for vision measurement. First, commonly used processing algorithms of vision measurement are encapsulated into components that contained in a components library. The component which is designed to have its own properties also provides I/O interfaces for extern calls. Second, a software bus is proposed which can plug components and assemble them to form a vision measurement application. Besides components managing and data line linking, the software bus also provides service of message distribution, which is used to drive all the plugged components working properly. Third, a XML based script language is proposed to record the plugging and assembling process of a vision measurement application, which can be used to rebuild the vision measurement application later. At last, based on this framework, an application of landmark extraction that applied in camera calibration is introduced to show how it works.

  15. A two wavelength holographic technique for simultaneous measurement of temperature and concentration during the solidification of two component systems

    Science.gov (United States)

    Ecker, A.

    1987-01-01

    Simultaneous measurement of the temperature and concentration distribution within a fluid can be made using a 'two wavelength holographic' setup. The technique is successfully applied to the study of temperature, concentration, and flow fields in the melt of a transparent 'model alloy' during solidification.

  16. Reliability-Based Design of Wind Turbine Components

    DEFF Research Database (Denmark)

    Toft, Henrik Stensgaard; Sørensen, John Dalsgaard

    influence the reliability is presented. For wind turbines tests with the basic materials or structural components are often performed during the design process. By adopting a reliability based design approach information from these tests can be taken into account in the design process. However, in normal...... demonstrated how partial safety factors can be derived for reliability-based design and how the partial safety factors changes dependent on the uncertainty in the test results.......Application of reliability-based design for wind turbines requires a definition of the probabilistic basis for the individual components of the wind turbine. In the present paper reliability-based design of structural wind turbine components is considered. A framework for the uncertainties which...

  17. Isocyanide based multi component reactions in combinatorial chemistry.

    NARCIS (Netherlands)

    Dömling, A.

    1998-01-01

    Although usually regarded as a recent development, the combinatorial approach to the synthesis of libraries of new drug candidates was first described as early as 1961 using the isocyanide-based one-pot multicomponent Ugi reaction. Isocyanide-based multi component reactions (MCR's) markedly differ f

  18. Critical Components of Effective School-Based Feeding Improvement Programs

    Science.gov (United States)

    Bailey, Rita L.; Angell, Maureen E.

    2004-01-01

    This article identifies critical components of effective school-based feeding improvement programs for students with feeding problems. A distinction is made between typical school-based feeding management and feeding improvement programs, where feeding, independent functioning, and mealtime behaviors are the focus of therapeutic strategies.…

  19. Simultaneous Mapping of Interactions between Scientific and Technological Knowledge Bases: The Case of Space Communications.

    Science.gov (United States)

    Hassan, E.

    2003-01-01

    Examines the knowledge structure of the field of space communications using bibliometric mapping techniques based on textual analysis. Presents a new approach with the aim of visualizing simultaneously the configuration of the scientific and technological knowledge bases at a worldwide level, and discusses results that show different…

  20. Algorithms for Synthesizing Priorities in Component-based Systems

    CERN Document Server

    Cheng, Chih-Hong; Chen, Yu-Fang; Yan, Rongjie; Jobstmann, Barbara; Ruess, Harald; Buckl, Christian; Knoll, Alois

    2011-01-01

    We present algorithms to synthesize component-based systems that are safe and deadlock-free using priorities, which define stateless-precedence between enabled actions. Our core method combines the concept of fault-localization (using safety-game) and fault-repair (using SAT for conflict resolution). For complex systems, we propose three complementary methods as preprocessing steps for priority synthesis, namely (a) data abstraction to reduce component complexities, (b) alphabet abstraction and #-deadlock to ignore components, and (c) automated assumption learning for compositional priority synthesis.

  1. Secure wireless embedded systems via component-based design

    DEFF Research Database (Denmark)

    Hjorth, T.; Torbensen, R.

    2010-01-01

    This paper introduces the method secure-by-design as a way of constructing wireless embedded systems using component-based modeling frameworks. This facilitates design of secure applications through verified, reusable software. Following this method we propose a security framework with a secure...... communication component for distributed wireless embedded devices. The components communicate using the Secure Embedded Exchange Protocol (SEEP), which has been designed for flexible trust establishment so that small, resource-constrained, wireless embedded systems are able to communicate short command messages...

  2. Secure Wireless Embedded Systems Via Component-based Design

    DEFF Research Database (Denmark)

    Hjorth, Theis S.; Torbensen, R.

    2010-01-01

    This paper introduces the method secure-by-design as a way of constructing wireless embedded systems using component-based modeling frameworks. This facilitates design of secure applications through verified, reusable software. Following this method we propose a security framework with a secure...... communication component for distributed wireless embedded devices. The components communicate using the Secure Embedded Exchange Protocol (SEEP), which has been designed for flexible trust establishment so that small, resource-constrained, wireless embedded systems are able to communicate short command messages...

  3. Design of Ensemble-Based Component Systems by Invariant Refinement

    Czech Academy of Sciences Publication Activity Database

    Keznikl, Jaroslav; Bureš, Tomáš; Plášil, F.; Gerostathopoulos, I.; Hnětynka, P.; Hoch, N.

    New York: ACM, 2013, s. 91-100. ISBN 978-1-4503-2122-8. [CBSE 2013. International ACM SIGSOFT Symposium on Component-Based Software Engineering /16./. Vancouver (CA), 17.06.2013-21.06.2013] EU Projects: European Commission(XE) ASCENS 257414 Grant ostatní: GA AV ČR(CZ) GAP103/11/1489; UK(CZ) SVV-2013-267312 Keywords : component * ensemble * refinement * requirements engineering * system design Subject RIV: JC - Computer Hardware ; Software

  4. Feature selection for neural network based defect classification of ceramic components using high frequency ultrasound.

    Science.gov (United States)

    Kesharaju, Manasa; Nagarajah, Romesh

    2015-09-01

    The motivation for this research stems from a need for providing a non-destructive testing method capable of detecting and locating any defects and microstructural variations within armour ceramic components before issuing them to the soldiers who rely on them for their survival. The development of an automated ultrasonic inspection based classification system would make possible the checking of each ceramic component and immediately alert the operator about the presence of defects. Generally, in many classification problems a choice of features or dimensionality reduction is significant and simultaneously very difficult, as a substantial computational effort is required to evaluate possible feature subsets. In this research, a combination of artificial neural networks and genetic algorithms are used to optimize the feature subset used in classification of various defects in reaction-sintered silicon carbide ceramic components. Initially wavelet based feature extraction is implemented from the region of interest. An Artificial Neural Network classifier is employed to evaluate the performance of these features. Genetic Algorithm based feature selection is performed. Principal Component Analysis is a popular technique used for feature selection and is compared with the genetic algorithm based technique in terms of classification accuracy and selection of optimal number of features. The experimental results confirm that features identified by Principal Component Analysis lead to improved performance in terms of classification percentage with 96% than Genetic algorithm with 94%. PMID:26081920

  5. Nuclear component design ontology building based on ASME codes

    International Nuclear Information System (INIS)

    The adoption of ontology analysis in the study of concept knowledge acquisition and representation for the nuclear component design process based on computer-supported cooperative work (CSCW) makes it possible to share and reuse numerous concept knowledge of multi-disciplinary domains. A practical ontology building method is accordingly proposed based on Protege knowledge model in combination with both top-down and bottom-up approaches together with Formal Concept Analysis (FCA). FCA exhibits its advantages in the way it helps establish and improve taxonomic hierarchy of concepts and resolve concept conflict occurred in modeling multi-disciplinary domains. With Protege-3.0 as the ontology building tool, a nuclear component design ontology based ASME codes is developed by utilizing the ontology building method. The ontology serves as the basis to realize concept knowledge sharing and reusing of nuclear component design. (authors)

  6. Simultaneous Excitation of Multiple-Input Multiple-Output CFD-Based Unsteady Aerodynamic Systems

    Science.gov (United States)

    Silva, Walter A.

    2008-01-01

    A significant improvement to the development of CFD-based unsteady aerodynamic reduced-order models (ROMs) is presented. This improvement involves the simultaneous excitation of the structural modes of the CFD-based unsteady aerodynamic system that enables the computation of the unsteady aerodynamic state-space model using a single CFD execution, independent of the number of structural modes. Four different types of inputs are presented that can be used for the simultaneous excitation of the structural modes. Results are presented for a flexible, supersonic semi-span configuration using the CFL3Dv6.4 code.

  7. Component Selection Efforts Estimation– A Fuzzy Logic Based Approach

    Directory of Open Access Journals (Sweden)

    Arun Sharma

    2009-09-01

    Full Text Available Effort Estimation with good accuracy helps in managing overall budgeting and planning. The accuracy of these estimates is very less and most difficult to obtain, because no or very little detail about the project is known at the beginning. Due to architectural difference in CBS (Component Based Systems, this estimation becomes more crucial. CBS mainly involves two types of efforts: selection and integration. Present paper presents a fuzzy rule based model for estimating the efforts in selecting these Components for developing an application using CBSE approach.

  8. Modeling Component-based Bragg gratings Application: tunable lasers

    Directory of Open Access Journals (Sweden)

    Hedara Rachida

    2011-09-01

    Full Text Available The principal function of a grating Bragg is filtering, which can be used in optical fibers based component and active or passive semi conductors based component, as well as telecommunication systems. Their ideal use is with lasers with fiber, amplifiers with fiber or Laser diodes. In this work, we are going to show the principal results obtained during the analysis of various types of grating Bragg by the method of the coupled modes. We then present the operation of DBR are tunable. The use of Bragg gratings in a laser provides single-mode sources, agile wavelength. The use of sampled grating increases the tuning range.

  9. Towards a Component Based Model for Database Systems

    Directory of Open Access Journals (Sweden)

    Octavian Paul ROTARU

    2004-02-01

    Full Text Available Due to their effectiveness in the design and development of software applications and due to their recognized advantages in terms of reusability, Component-Based Software Engineering (CBSE concepts have been arousing a great deal of interest in recent years. This paper presents and extends a component-based approach to object-oriented database systems (OODB introduced by us in [1] and [2]. Components are proposed as a new abstraction level for database system, logical partitions of the schema. In this context, the scope is introduced as an escalated property for transactions. Components are studied from the integrity, consistency, and concurrency control perspective. The main benefits of our proposed component model for OODB are the reusability of the database design, including the access statistics required for a proper query optimization, and a smooth information exchange. The integration of crosscutting concerns into the component database model using aspect-oriented techniques is also discussed. One of the main goals is to define a method for the assessment of component composition capabilities. These capabilities are restricted by the component’s interface and measured in terms of adaptability, degree of compose-ability and acceptability level. The above-mentioned metrics are extended from database components to generic software components. This paper extends and consolidates into one common view the ideas previously presented by us in [1, 2, 3].[1] Octavian Paul Rotaru, Marian Dobre, Component Aspects in Object Oriented Databases, Proceedings of the International Conference on Software Engineering Research and Practice (SERP’04, Volume II, ISBN 1-932415-29-7, pages 719-725, Las Vegas, NV, USA, June 2004.[2] Octavian Paul Rotaru, Marian Dobre, Mircea Petrescu, Integrity and Consistency Aspects in Component-Oriented Databases, Proceedings of the International Symposium on Innovation in Information and Communication Technology (ISIICT

  10. SPARSE: quadratic time simultaneous alignment and folding of RNAs without sequence-based heuristics

    OpenAIRE

    Will, Sebastian; Otto, Christina; Miladi, Milad; Möhl, Mathias; Backofen, Rolf

    2015-01-01

    Motivation: RNA-Seq experiments have revealed a multitude of novel ncRNAs. The gold standard for their analysis based on simultaneous alignment and folding suffers from extreme time complexity of O ( n 6 ) . Subsequently, numerous faster ‘Sankoff-style’ approaches have been suggested. Commonly, the performance of such methods relies on sequence-based heuristics that restrict the search space to optimal or near-optimal sequence alignments; however, the accuracy of sequence-based methods breaks...

  11. Flexible optical network components based on densely integrated microring resonators

    OpenAIRE

    Geuzebroek, Douwe Harmen

    2005-01-01

    This thesis addresses the design, realization and characterization of reconfigurable optical network components based on multiple microring resonators. Since thermally tunable microring resonators can be used as wavelength selective space switches, very compact devices with high complexity and flexibility can be created.

  12. Design of Metrics for Customization of Component Based Software Module

    OpenAIRE

    Anil Kumar

    2012-01-01

    In this paper we will discuss such kind of metrics that are used tocustomize of software modules while software development takesplace through component based methodology. While thesemetrics are used to do this it helpful how to reduce complexitywhile further improvement takes place in software development.

  13. Simultaneous determination of ten active components in traditional Chinese medicinal products containing both Gegen (Pueraria lobata) and Danshen (Salvia miltiorrhiza) by high-performance liquid chromatography.

    Science.gov (United States)

    Chang, Qi; Sun, Lan; Zhao, Run-Huai; Chow, Moses S S; Zuo, Zhong

    2008-01-01

    In order to facilitate the quality control of Traditional Chinese Medicine (TCM) products containing both Gegen (Pueraria lobata) and Danshen (Salvia miltiorrhiza), a new and simple HPLC method for the simultaneous determination of 10 active components in these products has been developed. The chromatographic separation was carried out on a C(18) column eluted with a mobile phase consisting of 0.1% acetic acid in water and 0.1% acetic acid in acetonitrile with gradient elution. The eluent was monitored by a photodiode array UV detector at a wavelength of 250 nm for Gegen components including puerarin, daidzein 8-C-apiosyl-glucoside, daidzin and daidzein, and at 270 nm for Danshen components including danshensu, protocatechuic aldehyde, salvianolic acid B, cryptotanshinone, tanshinone I and tanshinone IIa. Excellent chromatographic separation was achieved for all studied compounds with good linearity (r(2)> 0.999) over the studied concentration ranges. The developed method has been applied to the simultaneous determination of the 10 studied compounds in commercially available products containing both Gegen and Danshen. The TCM product samples were extracted by sonication with a mixture of methanol:water (80:20) containing 0.5% acetic acid. Extraction recoveries for all studied compounds were in the range of 96.01-106.18%. The intra-day and inter-day variations were less than 7.25 and 5.44%, respectively, for all studied compounds. The developed method has not only proved to be effective in the simultaneous determination of the 10 components, but also provides a convenient quality control approach for TCM products containing both Gegen and Danshen. PMID:18438756

  14. Simultaneously Optimizing Storage Location Assignment at Forward Area and Reserve Area - a Decomposition Based Heuristic

    DEFF Research Database (Denmark)

    Bloch, Søren; Christiansen, Christian Holk

    versa. This, however, is often neglected in the existing literature. We solve the TSLAP simultaneously for the reserve area and the forward area. Based on randomly generated test instances we show that the solutions of TSLAP compare favorably to solutions found by other algorithms proposed in the...

  15. Cantilever-based micro-particle filter with simultaneous single particle detection

    DEFF Research Database (Denmark)

    Noeth, Nadine-Nicole; Keller, Stephan Sylvest; Boisen, Anja

    2011-01-01

    Currently, separation of whole blood samples on lab-on-a-chip systems is achieved via filters followed by analysis of the filtered matter such as counting of blood cells. Here, a micro-chip based on cantilever technology is developed, which enables simultaneous filtration and counting of micro...

  16. Performance monitoring of MPC based on dynamic principal component analysis

    OpenAIRE

    Tian, Xuemin; Chen, Gongquan; Cao, YuPing; Chen, Sheng

    2011-01-01

    A unified framework based on the dynamic principal component analysis (PCA) is proposed for performance monitoring of constrained multi-variable model predictive control (MPC) systems. In the proposed performance monitoring framework, the dynamic PCA based performance benchmark is adopted for performance assessment, while performance diagnosis is carried out using a unified weighted dynamic PCA similarity measure. Simulation results obtained from the case study of the Shell process demonstrat...

  17. Dependence Analysis of Component Based Software through Assumptions

    OpenAIRE

    Ratneshwer; Tripathi, A. K.

    2011-01-01

    This study presents a quantitative approach for dependency analysis of Component Based Software (CBS) systems. Various types of dependency, in a CBS, have been observed through 'assumptions' and based on these observations some derived dependency relationships are proposed. The proposed dependency relationships are validated theoretically and an example illustration has been shown to demonstrate the proposal. The result of the study suggests that these dependency relationships may prove helpf...

  18. Dependence Analysis of Component Based Software through Assumptions

    Directory of Open Access Journals (Sweden)

    Ratneshwer

    2011-07-01

    Full Text Available This study presents a quantitative approach for dependency analysis of Component Based Software (CBS systems. Various types of dependency, in a CBS, have been observed through 'assumptions' and based on these observations some derived dependency relationships are proposed. The proposed dependency relationships are validated theoretically and an example illustration has been shown to demonstrate the proposal. The result of the study suggests that these dependency relationships may prove helpful in understanding CBS systems.

  19. Component-based target recognition inspired by human vision

    Science.gov (United States)

    Zheng, Yufeng; Agyepong, Kwabena

    2009-05-01

    In contrast with machine vision, human can recognize an object from complex background with great flexibility. For example, given the task of finding and circling all cars (no further information) in a picture, you may build a virtual image in mind from the task (or target) description before looking at the picture. Specifically, the virtual car image may be composed of the key components such as driver cabin and wheels. In this paper, we propose a component-based target recognition method by simulating the human recognition process. The component templates (equivalent to the virtual image in mind) of the target (car) are manually decomposed from the target feature image. Meanwhile, the edges of the testing image can be extracted by using a difference of Gaussian (DOG) model that simulates the spatiotemporal response in visual process. A phase correlation matching algorithm is then applied to match the templates with the testing edge image. If all key component templates are matched with the examining object, then this object is recognized as the target. Besides the recognition accuracy, we will also investigate if this method works with part targets (half cars). In our experiments, several natural pictures taken on streets were used to test the proposed method. The preliminary results show that the component-based recognition method is very promising.

  20. New Stereo Vision Digital Camera System for Simultaneous Measurement of Cloud Base Height and Atmospheric Visibility

    Science.gov (United States)

    Janeiro, F. M.; Carretas, F.; Palma, N.; Ramos, P. M.; Wagner, F.

    2013-12-01

    Clouds play an important role in many aspects of everyday life. They affect both the local weather as well as the global climate and are an important parameter on climate change studies. Cloud parameters are also important for weather prediction models which make use of actual measurements. It is thus important to have low-cost instrumentation that can be deployed in the field to measure those parameters. This kind of instruments should also be automated and robust since they may be deployed in remote places and be subject to adverse weather conditions. Although clouds are very important in environmental systems, they are also an essential component of airplane safety when visual flight rules (VFR) are enforced, such as in most small aerodromes where it is not economically viable to install instruments for assisted flying. Under VFR there are strict limits on the height of the cloud base, cloud cover and atmospheric visibility that ensure the safety of the pilots and planes. Although there are instruments, available in the market, to measure those parameters, their relatively high cost makes them unavailable in many local aerodromes. In this work we present a new prototype which has been recently developed and deployed in a local aerodrome as proof of concept. It is composed by two digital cameras that capture photographs of the sky and allow the measurement of the cloud height from the parallax effect. The new developments consist on having a new geometry which allows the simultaneous measurement of cloud base height, wind speed at cloud base height and atmospheric visibility, which was not previously possible with only two cameras. The new orientation of the cameras comes at the cost of a more complex geometry to measure the cloud base height. The atmospheric visibility is calculated from the Lambert-Beer law after the measurement of the contrast between a set of dark objects and the background sky. The prototype includes the latest hardware developments that

  1. Component-based software for high-performance scientific computing

    International Nuclear Information System (INIS)

    Recent advances in both computational hardware and multidisciplinary science have given rise to an unprecedented level of complexity in scientific simulation software. This paper describes an ongoing grass roots effort aimed at addressing complexity in high-performance computing through the use of Component-Based Software Engineering (CBSE). Highlights of the benefits and accomplishments of the Common Component Architecture (CCA) Forum and SciDAC ISIC are given, followed by an illustrative example of how the CCA has been applied to drive scientific discovery in quantum chemistry. Thrusts for future research are also described briefly

  2. Verifying Embedded Systems using Component-based Runtime Observers

    DEFF Research Database (Denmark)

    Guan, Wei; Marian, Nicolae; Angelov, Christo K.

    Formal verification methods, such as exhaustive model checking, are often infeasible because of high computational complexity. Runtime observers (monitors) provide an alternative, light-weight verification method, which offers a non-exhaustive yet feasible approach to monitoring system behavior...... against formally specified properties. This paper presents a component-based design method for runtime observers, which are configured from instances of prefabricated reusable components---Predicate Evaluator (PE) and Temporal Evaluator (TE). The PE computes atomic propositions for the TE; the latter is a...

  3. Simultaneous quantification of eleven bioactive components of male flowers of Eucommia ulmoides oliver by HPLC and their quality evaluation by chemical fingerprint analysis with hierarchical clustering analysis

    Directory of Open Access Journals (Sweden)

    Yanxia Ding

    2014-01-01

    Full Text Available Background: Eucommia ulmoides Oliv (EU, a dioecious perennial angiosperm, is one of the oldest tonics in Chinese traditional medicine. The tea of male flowers of EU has been become popularities and seen as aspirational health care tea in China. There were no enough marks and effective method to control the quality of male flowers of EU. Objective: A simple and efficient HPLC method was developed for the simultaneous determination of 11 bioactive compounds (4 iridoids, 1 phenylpropanoid, 6 flavonoids. HPLC chromatographic fingerprint and hierarchical cluster analysis were used to evaluate and classify the samples of male flowers of EU which came from different locations in China. Materials and Methods: Samples were separated on a Thermal hypersil gold column (250 mm × 4.6 mm, 5 μm and detected by an ultraviolet detector. The UV wavelength was set at 206, 236, and 206 nm. Mobile phase consisted of methanol (B and phosphoric acid-water (0.5% (C using a gradient elution. Analytes were performed at 25°C with a flow rate of 1.0 mL/min. Results: In quantitative analysis, the eleven components showed good regression (r 2 > 0.9996 within linear ranges, and their recoveries were in the range of 98.65-102.31%. In the chromatographic fingerprint, 16 peaks were selected as the characteristic peaks to assess the similarities of different samples. Hierarchical cluster analysis (HCA was also applied to differentiate the samples based on the area of all the common peaks. The samples which had higher similarity in HPLC fingerprint were classified as a cluster. Conclusion: This study will provide methodological reference for the quality control and sample classification of male flowers of E. ulmoides.

  4. A Framework for Agile Development of Component-Based Applications

    CERN Document Server

    Waignier, Guillaume; Meur, Anne-Françoise Le; Duchien, Laurence

    2010-01-01

    Agile development processes and component-based software architectures are two software engineering approaches that contribute to enable the rapid building and evolution of applications. Nevertheless, few approaches have proposed a framework to combine agile and component-based development, allowing an application to be tested throughout the entire development cycle. To address this problematic, we have built CALICO, a model-based framework that allows applications to be safely developed in an iterative and incremental manner. The CALICO approach relies on the synchronization of a model view, which specifies the application properties, and a runtime view, which contains the application in its execution context. Tests on the application specifications that require values only known at runtime, are automatically integrated by CALICO into the running application, and the captured needed values are reified at execution time to resume the tests and inform the architect of potential problems. Any modification at th...

  5. A probabilistic model for component-based shape synthesis

    KAUST Repository

    Kalogerakis, Evangelos

    2012-07-01

    We present an approach to synthesizing shapes from complex domains, by identifying new plausible combinations of components from existing shapes. Our primary contribution is a new generative model of component-based shape structure. The model represents probabilistic relationships between properties of shape components, and relates them to learned underlying causes of structural variability within the domain. These causes are treated as latent variables, leading to a compact representation that can be effectively learned without supervision from a set of compatibly segmented shapes. We evaluate the model on a number of shape datasets with complex structural variability and demonstrate its application to amplification of shape databases and to interactive shape synthesis. © 2012 ACM 0730-0301/2012/08-ART55.

  6. SA BASED SOFTWARE DEPLOYMENT RELIABILITY ESTIMATION CONSIDERING COMPONENT DEPENDENCE

    Institute of Scientific and Technical Information of China (English)

    Su Xihong; Liu Hongwei; Wu Zhibo; Yang Xiaozong; Zuo Decheng

    2011-01-01

    Reliability is one of the most critical properties of software system.System deployment architecture is the allocation of system software components on host nodes.Software Architecture (SA)based software deployment models help to analyze reliability of different deployments.Though many approaches for architecture-based reliability estimation exist,little work has incorporated the influence of system deployment and hardware resources into reliability estimation.There are many factors influencing system deployment.By translating the multi-dimension factors into degree matrix of component dependence,we provide the definition of component dependence and propose a method of calculating system reliability of deployments.Additionally,the parameters that influence the optimal deployment may change during system execution.The existing software deployment architecture may be ill-suited for the given environment,and the system needs to be redeployed to improve reliability.An approximate algorithm,A*_D,to increase system reliability is presented.When the number of components and host nodes is relative large,experimental results show that this algorithm can obtain better deployment than stochastic and greedy algorithms.

  7. Education Knowledge System Combination Model Based on the Components

    Institute of Scientific and Technical Information of China (English)

    CHEN Lei; LI Dehua; LI Xiaojian; WU Chunxiang

    2007-01-01

    Resources are the base and core of education information, but current web education resources have no structure and it is still difficult to reuse them and make them can be self assembled and developed continually. According to the knowledge structure of course and text, the relation among knowledge points, knowledge units from three levels of media material, we can build education resource components, and build TKCM (Teaching Knowledge Combination Model) based on resource components. Builders can build and assemble knowledge system structure and make knowledge units can be self assembled, thus we can develop and consummate them continually. Users can make knowledge units can be self assembled and renewed, and build education knowledge system to satisfy users' demand under the form of education knowledge system.

  8. XML-based Components for Federating Multiple Heterogeneous Data Sources

    OpenAIRE

    Gardarin, Georges; Sha, Fei; Dang-Ngoc, Tuyet-Tram

    1999-01-01

    Several federated database systems have been built in the past using the relational or the object model as federating model. This paper gives an overview of the XMLMedia system, a federated database system mediator using XML as federating model, built in the Esprit Project MIRO-Web. The system is composed of four main components: a wrapper generator using rule-based scripting to produce XML data from various source formats, a mediator querying and integrating relational and XML sources, an XM...

  9. Active Integrated Metamaterial-based Antennas and Microwave Components

    OpenAIRE

    Wu, Chung-Tse

    2014-01-01

    Metamaterials are artificial electromagnetic materials with novel effective medium properties that may not be available in nature. The concept of metamaterial structures has led to the design of many novel circuits exhibiting component enhancements. One type of metamaterial-based antenna structure that has been widely studied is the composite right/left-handed transmission line (CRLH-TL) leaky-wave antenna (LWA). This antenna structure has been shown to offer significant advantages over conve...

  10. A Component-based Software Infrastructure for Contextual Transportation Applications

    OpenAIRE

    FLISSI,A; GRANSART,C; Merle, P

    2005-01-01

    In the transportation domain, software applications running on mobile devices are more and more needed. These applications have strong requirements to address: heterogeneity and limited ressources of wireless networks and mobile devices, networked communications, security, discovery of services, deployment on mobile devices, etc. These requirements are similar to those of any ubiquitous computing application. In this paper, we present a component-based software infrastructure to design, disco...

  11. An Ultrasound Image Despeckling Approach Based on Principle Component Analysis

    OpenAIRE

    Jawad F. Al-Asad; Ali M. Reza; Udomchai Techavipoo

    2014-01-01

    An approach based on principle component analysis (PCA) to filter out multiplicative noise from ultrasound images is presented in this paper. An image with speckle noise is segmented into small dyadic lengths, depending on the original size of the image, and the global covariance matrix is found. A projection matrix is then formed by selecting the maximum eigenvectors of the global covariance matrix. This projection matrix is used to filter speckle noise by projecting each segment into the si...

  12. A Component-based Software Infrastructure for Ubiquitous Computing

    OpenAIRE

    Flissi, Areski; Gransart, Christophe; Merle, Philippe

    2005-01-01

    Multiplication of mobile devices and generalized use of wireless networks imply changes on the design and execution of distributed software applications targeting ubiquitous computing. Many strong requirements have to be addressed: heterogeneity and limited resources of wireless networks and mobile devices, networked communications between distributed applications, dynamic discovery and automatic deployment on mobile devices. In this paper, we present a component-based software infrastructure...

  13. Simultaneous cardiac and respiratory frequency measurement based on a single fiber Bragg grating sensor

    Science.gov (United States)

    Silva, A. F.; Carmo, J. P.; Mendes, P. M.; Correia, J. H.

    2011-07-01

    A respiratory and cardiac-frequency sensor has been designed and manufactured to monitor both components with a single fiber Bragg grating (FBG) sensor. The main innovation of the explored system is the structure in which the FBG sensor is embedded. A specially developed polymeric foil allowed the simultaneous detection of heart rate and respiration cycles. The PVC has been designed to enhance the sensor sensitivity. In order to retrieve both components individually, a signal processing system was implemented for filtering out the respiratory and cardiac frequencies. The developed solution was tested along with a commercial device for referencing, from which the proposed system reliability is concluded. This optical-fiber system type has found an application niche in magnetic resonance imaging (MRI) exam rooms, where no other types of sensors than optical ones are advised to enter due to the electromagnetic interference.

  14. Simultaneous cardiac and respiratory frequency measurement based on a single fiber Bragg grating sensor

    International Nuclear Information System (INIS)

    A respiratory and cardiac-frequency sensor has been designed and manufactured to monitor both components with a single fiber Bragg grating (FBG) sensor. The main innovation of the explored system is the structure in which the FBG sensor is embedded. A specially developed polymeric foil allowed the simultaneous detection of heart rate and respiration cycles. The PVC has been designed to enhance the sensor sensitivity. In order to retrieve both components individually, a signal processing system was implemented for filtering out the respiratory and cardiac frequencies. The developed solution was tested along with a commercial device for referencing, from which the proposed system reliability is concluded. This optical-fiber system type has found an application niche in magnetic resonance imaging (MRI) exam rooms, where no other types of sensors than optical ones are advised to enter due to the electromagnetic interference

  15. Gas chromatography/mass spectrometry based component profiling and quality prediction for Japanese sake.

    Science.gov (United States)

    Mimura, Natsuki; Isogai, Atsuko; Iwashita, Kazuhiro; Bamba, Takeshi; Fukusaki, Eiichiro

    2014-10-01

    Sake is a Japanese traditional alcoholic beverage, which is produced by simultaneous saccharification and alcohol fermentation of polished and steamed rice by Aspergillus oryzae and Saccharomyces cerevisiae. About 300 compounds have been identified in sake, and the contribution of individual components to the sake flavor has been examined at the same time. However, only a few compounds could explain the characteristics alone and most of the attributes still remain unclear. The purpose of this study was to examine the relationship between the component profile and the attributes of sake. Gas chromatography coupled with mass spectrometry (GC/MS)-based non-targeted analysis was employed to obtain the low molecular weight component profile of Japanese sake including both nonvolatile and volatile compounds. Sake attributes and overall quality were assessed by analytical descriptive sensory test and the prediction model of the sensory score from the component profile was constructed by means of orthogonal projections to latent structures (OPLS) regression analysis. Our results showed that 12 sake attributes [ginjo-ka (aroma of premium ginjo sake), grassy/aldehydic odor, sweet aroma/caramel/burnt odor, sulfury odor, sour taste, umami, bitter taste, body, amakara (dryness), aftertaste, pungent/smoothness and appearance] and overall quality were accurately explained by component profiles. In addition, we were able to select statistically significant components according to variable importance on projection (VIP). Our methodology clarified the correlation between sake attribute and 200 low molecular components and presented the importance of each component thus, providing new insights to the flavor study of sake. PMID:25060729

  16. Simultaneous determination of 10 components in traditional Chinese medicine Dachaihu Granule by reversed-phase-high-performance liquid chromatographic-diode array detector

    Directory of Open Access Journals (Sweden)

    Yingfei Hu

    2013-01-01

    Full Text Available Background: Dachaihu Granule, commonly used for treating cholecystitis, is derived from a famous traditional Chinese formula named Dachaihu Decoction. No analytical method has been reported for simultaneous determination of 10 bioactive compounds for quality control in Dachaihu Granule so far. Objective: To develop a high-performance liquid chromatographic (HPLC method with diode array detector (DAD for simultaneous determination of 10 bioactive compounds (paeoniflorin, aloe-emodin, rhein, emodin, chrysophanol, physcion, naringin, hesperidin, neohesperidin, and baicalin in traditional Chinese medicine Dachaihu Granule. Materials and Methods : The samples were separated on a Kromasil C 18 (250 × 4.6 mm,i.d. with 5.0 μm particle sizecolumn with multi-wavelength detection method by a gradient elution using acetonitrile (A and 0.2% acetic acid (B as the mobile phase. The column temperature was maintained at 30°C and the detection wavelength was set at 230 nm for paeoniflorin, 254 nm for aloe-emodin, rhein, emodin, chrysophanol, and physcion, 280 nm for naringin, hesperidin, neohesperidin, and baicalin. Results: The developed method provided satisfactory precision and the accuracy of this method was in the range from 94.0% to 103.1%, all of the 10 compounds showed good linearity (r > 0.999 in a detected concentration range. Conclusion: The validated method was successfully applied to the simultaneously of these active components in Dachaihu Granule from different production batches.

  17. A generalized GPU-based connected component labeling algorithm

    CERN Document Server

    Komura, Yukihiro

    2016-01-01

    We propose a generalized GPU-based connected component labeling (CCL) algorithm that can be applied to both various lattices and to non-lattice environments in a uniform fashion. We extend our recent GPU-based CCL algorithm without the use of conventional iteration to the generalized method. As an application of this algorithm, we deal with the bond percolation problem. We investigate bond percolation on the honeycomb and triangle lattices to confirm the correctness of this algorithm. Moreover, we deal with bond percolation on the Bethe lattice as a substitute for a network structure, and demonstrate the performance of this algorithm on those lattices.

  18. Simultaneous Decomposition of Depression Heterogeneity on the Person-, Symptom- and Time-Level: The Use of Three-Mode Principal Component Analysis.

    Directory of Open Access Journals (Sweden)

    Rei Monden

    Full Text Available Although heterogeneity of depression hinders research and clinical practice, attempts to reduce it with latent variable models have yielded inconsistent results, probably because these techniques cannot account for all interacting sources of heterogeneity at the same time. Therefore, to simultaneously decompose depression heterogeneity on the person-, symptom and time-level, three-mode Principal Component Analysis (3MPCA was applied to data of 219 Major Depression patients, who provided Beck Depression Inventory assessments every three months for two years. The resulting person-level components were correlated with external baseline clinical and demographic variables. The 3MPCA extracted two symptom-level components ('cognitive', 'somatic-affective', two time-level components ('improving', 'persisting' and three person-level components, characterized by different interaction-patterns between the symptom- and time-components ('severe non-persisting', 'somatic depression' and 'cognitive depression'. This model explained 28% of the total variance and 65% when also incorporating the general trend in the data. Correlations with external variables illustrated the content differentiation between the person-components. Severe non-persisting depression was positively correlated with psychopathology (r=0.60 and negatively with quality of life (r=-0.50. Somatic depression was negatively correlated with physical functioning (r=-0.45. Cognitive depression was positively correlated with neuroticism (r=0.38 and negatively with self-esteem (r=-0.47. In conclusion, 3MPCA decomposes depression into homogeneous entities, while accounting for the interactions between different sources of heterogeneity, which shows the utility of the technique to investigate the underlying structure of complex psychopathology data and could help future development of better empirical depression subtypes.

  19. Simultaneous Decomposition of Depression Heterogeneity on the Person-, Symptom- and Time-Level: The Use of Three-Mode Principal Component Analysis.

    Science.gov (United States)

    Monden, Rei; Wardenaar, Klaas J; Stegeman, Alwin; Conradi, Henk Jan; de Jonge, Peter

    2015-01-01

    Although heterogeneity of depression hinders research and clinical practice, attempts to reduce it with latent variable models have yielded inconsistent results, probably because these techniques cannot account for all interacting sources of heterogeneity at the same time. Therefore, to simultaneously decompose depression heterogeneity on the person-, symptom and time-level, three-mode Principal Component Analysis (3MPCA) was applied to data of 219 Major Depression patients, who provided Beck Depression Inventory assessments every three months for two years. The resulting person-level components were correlated with external baseline clinical and demographic variables. The 3MPCA extracted two symptom-level components ('cognitive', 'somatic-affective'), two time-level components ('improving', 'persisting') and three person-level components, characterized by different interaction-patterns between the symptom- and time-components ('severe non-persisting', 'somatic depression' and 'cognitive depression'). This model explained 28% of the total variance and 65% when also incorporating the general trend in the data). Correlations with external variables illustrated the content differentiation between the person-components. Severe non-persisting depression was positively correlated with psychopathology (r=0.60) and negatively with quality of life (r=-0.50). Somatic depression was negatively correlated with physical functioning (r=-0.45). Cognitive depression was positively correlated with neuroticism (r=0.38) and negatively with self-esteem (r=-0.47). In conclusion, 3MPCA decomposes depression into homogeneous entities, while accounting for the interactions between different sources of heterogeneity, which shows the utility of the technique to investigate the underlying structure of complex psychopathology data and could help future development of better empirical depression subtypes. PMID:26177365

  20. Simultaneous recording of rat auditory cortex and thalamus via a titanium-based, microfabricated, microelectrode device

    Science.gov (United States)

    McCarthy, P. T.; Rao, M. P.; Otto, K. J.

    2011-08-01

    Direct recording from sequential processing stations within the brain has provided opportunity for enhancing understanding of important neural circuits, such as the corticothalamic loops underlying auditory, visual, and somatosensory processing. However, the common reliance upon microwire-based electrodes to perform such recordings often necessitates complex surgeries and increases trauma to neural tissues. This paper reports the development of titanium-based, microfabricated, microelectrode devices designed to address these limitations by allowing acute recording from the thalamic nuclei and associated cortical sites simultaneously in a minimally invasive manner. In particular, devices were designed to simultaneously probe rat auditory cortex and auditory thalamus, with the intent of recording auditory response latencies and isolated action potentials within the separate anatomical sites. Details regarding the design, fabrication, and characterization of these devices are presented, as are preliminary results from acute in vivo recording.

  1. Calcium salts-based emergency kit for simultaneous decorporation of three fission radionuclides

    International Nuclear Information System (INIS)

    Recently, we have shown that radiocesium (*Cs), radiostrontium (*Sr) and radioiodine (*I) can be simultaneously cleared from our in vivo system by a new formulated Calcium salts-based Emergency Kit (CEK), which is experimentally proven to enhance the clearance of *Cs, *Sr and *I, simultaneously from in vivo in rats. A similar benefit is expected in humans considering the similar physiology of these isotopes in humans. CEK can even safely be used for the clearance of just one or all three radio-nuclides. CEK contains common Calcium salts with a new in-house synthesized calcium based compound (CBC), which is twice as potent as Prussian Blue in specifically clearing *Cs from our body. Patent application has been filed for CEK as Prophylactic Mixture, along with CBC. (author)

  2. Simultaneous and integrated neutron-based techniques for material analysis of a metallic ancient flute

    Science.gov (United States)

    Festa, G.; Pietropaolo, A.; Grazzi, F.; Sutton, L. F.; Scherillo, A.; Bognetti, L.; Bini, A.; Barzagli, E.; Schooneveld, E.; Andreani, C.

    2013-09-01

    A metallic 19th century flute was studied by means of integrated and simultaneous neutron-based techniques: neutron diffraction, neutron radiative capture analysis and neutron radiography. This experiment follows benchmark measurements devoted to assessing the effectiveness of a multitask beamline concept for neutron-based investigation on materials. The aim of this study is to show the potential application of the approach using multiple and integrated neutron-based techniques for musical instruments. Such samples, in the broad scenario of cultural heritage, represent an exciting research field. They may represent an interesting link between different disciplines such as nuclear physics, metallurgy and acoustics.

  3. A Robust Approach for a Filter-Based Monocular Simultaneous Localization and Mapping (SLAM) System

    OpenAIRE

    Antoni Grau; Rodrigo Munguía; Bernardino Castillo-Toledo

    2013-01-01

    Simultaneous localization and mapping (SLAM) is an important problem to solve in robotics theory in order to build truly autonomous mobile robots. This work presents a novel method for implementing a SLAM system based on a single camera sensor. The SLAM with a single camera, or monocular SLAM, is probably one of the most complex SLAM variants. In this case, a single camera, which is freely moving through its environment, represents the sole sensor input to the system. The sensors have a large...

  4. Visual planes-based simultaneous localization and model refinement for augmented reality

    OpenAIRE

    Servant, F.; Marchand, E; Houlier, P.; Marchal, I.

    2008-01-01

    International audience This paper presents a method for camera pose tracking that uses a partial knowledge about the scene. The method is based on monocular vision Simultaneous Localization And Mapping (SLAM). With respect to classical SLAM implementations, this approach uses previously known information about the environment (rough map of the walls) and profits from the various available databases and blueprints to constraint the problem. This method considers that the tracked image patch...

  5. An Improved Otsu Threshold Segmentation Method for Underwater Simultaneous Localization and Mapping-Based Navigation

    OpenAIRE

    Xin Yuan; José-Fernán Martínez; Martina Eckert; Lourdes López-Santidrián

    2016-01-01

    The main focus of this paper is on extracting features with SOund Navigation And Ranging (SONAR) sensing for further underwater landmark-based Simultaneous Localization and Mapping (SLAM). According to the characteristics of sonar images, in this paper, an improved Otsu threshold segmentation method (TSM) has been developed for feature detection. In combination with a contour detection algorithm, the foreground objects, although presenting different feature shapes, are separated much faster a...

  6. A simultaneous strain and temperature sensing module based on FBG-in-SMS

    International Nuclear Information System (INIS)

    We propose a compact multi-parameter fibre sensing module based on a fibre Bragg grating (FBG) in single–multi–single mode fibre structure (FBG-in-SMS). We experimentally demonstrated that the FBG-in-SMS can measure temperature and strain simultaneously. In addition, we found that the process of writing FBG in SMS could be an effective technique for tuning and optimizing SMS spectrum for sensing. (paper)

  7. A simultaneous strain and temperature sensing module based on FBG-in-SMS

    Science.gov (United States)

    Song, Dawei; Chai, Quan; Liu, Yanlei; Jiang, Yu; Zhang, Jiangzhong; Sun, Weimin; Yuan, Libo; Canning, John; Peng, Gang-Ding

    2014-05-01

    We propose a compact multi-parameter fibre sensing module based on a fibre Bragg grating (FBG) in single-multi-single mode fibre structure (FBG-in-SMS). We experimentally demonstrated that the FBG-in-SMS can measure temperature and strain simultaneously. In addition, we found that the process of writing FBG in SMS could be an effective technique for tuning and optimizing SMS spectrum for sensing.

  8. Molecular-Based Assay for Simultaneous Detection of Four Plasmodium spp. and Wuchereria bancrofti Infections

    OpenAIRE

    MEHLOTRA, RAJEEV K.; Gray, Laurie R; Blood-Zikursh, Melinda J.; Kloos, Zachary; Henry-Halldin, Cara N.; Tisch, Daniel J.; Thomsen, Edward; Reimer, Lisa; Kastens, Will; Baea, Manasseh; Baea, Kaye; Baisor, Moses; Tarongka, Nandao; Kazura, James W; Zimmerman, Peter A

    2010-01-01

    Four major malaria-causing Plasmodium spp. and lymphatic filariasis-causing Wuchereria bancrofti are co-endemic in many tropical and sub-tropical regions. Among molecular diagnostic assays, multiplex polymerase chain reaction (PCR)–based assays for the simultaneous detection of DNAs from these parasite species are currently available only for P. falciparum and W. bancrofti or P. vivax and W. bancrofti. Using a post-PCR oligonucleotide ligation detection reaction–fluorescent microsphere assay ...

  9. Estimating Latent Attentional States Based on Simultaneous Binary and Continuous Behavioral Measures

    OpenAIRE

    Zhe Chen

    2015-01-01

    Cognition is a complex and dynamic process. It is an essential goal to estimate latent attentional states based on behavioral measures in many sequences of behavioral tasks. Here, we propose a probabilistic modeling and inference framework for estimating the attentional state using simultaneous binary and continuous behavioral measures. The proposed model extends the standard hidden Markov model (HMM) by explicitly modeling the state duration distribution, which yields a special example of th...

  10. A component based approach to scientific workflow management

    International Nuclear Information System (INIS)

    CRISTAL is a distributed scientific workflow system used in the manufacturing and production phases of HEP experiment construction at CERN. The CRISTAL project has studied the use of a description driven approach, using meta-modelling techniques, to manage the evolving needs of a large physics community. Interest from such diverse communities as bio-informatics and manufacturing has motivated the CRISTAL team to re-engineer the system to customize functionality according to end user requirements but maximize software reuse in the process. The next generation CRISTAL vision is to build a generic component architecture from which a complete software product line can be generated according to the particular needs of the target enterprise. This paper discusses the issues of adopting a component product line based approach and our experiences of software reuse

  11. Model-Based Software Regression Testing for Software Components

    Science.gov (United States)

    Batra, Gagandeep; Arora, Yogesh Kumar; Sengupta, Jyotsna

    This paper presents a novel approach of generating regression test cases from UML design diagrams. Regression testing can be systematically applied at the software components architecture level so as to reduce the effort and cost of retesting modified systems. Our approach consists of transforming a UML sequence diagram of a component into a graphical structure called the control flow graph (CFG) and its revised version into an Extended control flow graph (ECFG) The nodes of the two graphs are augmented with information necessary to compose test suites in terms of test case scenarios. This information is collected from use case templates and class diagrams. The graphs are traversed in depth-first-order to generate test scenarios. Further, the two are compared for change identification. Based on change information, test cases are identified as reusable, obsolete or newly added. The regression test suite thus generated is suitable to detect any interaction and scenario faults.

  12. The advanced liquid metal reactor: Towards component protection based automatic control

    International Nuclear Information System (INIS)

    As advanced computing technology becomes part of the control system for power plants, the opportunity arises to address the real goals of plant control. Digital control systems are able to monitor more information and to accomplish more simultaneous tasks than human operators. In future nuclear plants, intelligent supervisory control systems should be responsible for maneuvering the plant in a fashion to minimize the component stress damage. The control system should generate strategies based on traditional operational objectives and on the current plant state and the stress history of various components and transients. In this paper, the authors elaborate on the desirability of including component mechanical stress information in digital control systems. Explicit consideration of stress constraints in the control strategy can significantly reduce the impact of transients on critical components, providing a significant contribution towards meeting current lifetime design goals of approximately 60 years. For illustration, one of the Advanced Liquid Metal Reactor design duty cycles events is discussed from this perspective for three hypothetical response scenarios. 7 refs., 4 figs

  13. Rural Power System Load Forecast Based on Principal Component Analysis

    Institute of Scientific and Technical Information of China (English)

    Fang Jun-long; Xing Yu; Fu Yu; Xu Yang; Liu Guo-liang

    2015-01-01

    Power load forecasting accuracy related to the development of the power system. There were so many factors influencing the power load, but their effects were not the same and what factors played a leading role could not be determined empirically. Based on the analysis of the principal component, the paper forecasted the demands of power load with the method of the multivariate linear regression model prediction. Took the rural power grid load for example, the paper analyzed the impacts of different factors on power load, selected the forecast methods which were appropriate for using in this area, forecasted its 2014-2018 electricity load, and provided a reliable basis for grid planning.

  14. Multiplex component-based allergen microarray in recent clinical studies.

    Science.gov (United States)

    Patelis, A; Borres, M P; Kober, A; Berthold, M

    2016-08-01

    During the last decades component-resolved diagnostics either as singleplex or multiplex measurements has been introduced into the field of clinical allergology, providing important information that cannot be obtained from extract-based tests. Here we review recent studies that demonstrate clinical applications of the multiplex microarray technique in the diagnosis and risk assessment of allergic patients, and its usefulness in studies of allergic diseases. The usefulness of ImmunoCAP ISAC has been validated in a wide spectrum of allergic diseases like asthma, allergic rhinoconjunctivitis, atopic dermatitis, eosinophilic esophagitis, food allergy and anaphylaxis. ISAC provides a broad picture of a patient's sensitization profile from a single test, and provides information on specific and cross-reactive sensitizations that facilitate diagnosis, risk assessment, and disease management. Furthermore, it can reveal unexpected sensitizations which may explain anaphylaxis previously categorized as idiopathic and also display for the moment clinically non-relevant sensitizations. ISAC can facilitate a better selection of relevant allergens for immunotherapy compared with extract testing. Microarray technique can visualize the allergic march and molecular spreading in the preclinical stages of allergic diseases, and may indicate that the likelihood of developing symptomatic allergy is associated with specific profiles of sensitization to allergen components. ISAC is shown to be a useful tool in routine allergy diagnostics due to its ability to improve risk assessment, to better select relevant allergens for immunotherapy as well as detecting unknown sensitization. Multiplex component testing is especially suitable for patients with complex symptomatology. PMID:27196983

  15. Cross-interference correction and simultaneous multi-gas analysis based on infrared absorption

    International Nuclear Information System (INIS)

    In this paper, we present simultaneous multiple pollutant gases (CO2, CO, and NO) measurements by using the non-dispersive infrared (NDIR) technique. A cross-correlation correction method is proposed and used to correct the cross-interferences among the target gases. The calculation of calibration curves is based on least-square fittings with third-order polynomials, and the interference functions are approximated by linear curves. The pure absorbance of each gas is obtained by solving three simultaneous equations using the fitted interference functions. Through the interference correction, the signal created at each filter channel only depends on the absorption of the intended gas. Gas mixture samples with different concentrations of CO2, CO, and NO are pumped into the sample cell for analysis. The results show that the measurement error of each gas is less than 4.5%

  16. Multianalyte Biosensor for Simultaneous Determination of Glucose and Galactose Based on Micromachined Chamber-type Electrodes

    Institute of Scientific and Technical Information of China (English)

    JlA Neng-Qin贾能勤; ZHANG Zong-Rang章宗穰; ZHU Jiang-Zhong朱建中; ZHANG Guo-Xiong张国雄

    2004-01-01

    An amperometric multianalyte biosensor for the simultaneous determination of glucose and galactose was developed based on chamber-type electrodes, which were fabricated by micromachining technology. The dual chamber-type enzyme electrode with glucose and galactose sensor elements was integrated onto one microchip. The experimental parameters of this biosensor were optimized. The biosensor exhibited a linearity of up to 4.0 mol/L for glucose and 4.5 mol/L for galactose, and the response time was about 30 s for glucose and 40 s for galactose. No cross-talking behavior was investigated in the course of simultaneous measurement of the two analytes. Interference from electroactive species, such as ascorbic acid and uric acid, was minimized due to the permselectivity of Nation film. In addition, the biosensor displayed a storage stability of longer than one month.

  17. Underwater simultaneous localization and mapping based on forward-looking sonar

    Science.gov (United States)

    Zhang, Tiedong; Zeng, Wenjing; Wan, Lei

    2011-09-01

    A method of underwater simultaneous localization and mapping (SLAM) based on forward-looking sonar was proposed in this paper. Positions of objects were obtained by the forward-looking sonar, and an improved association method based on an ant colony algorithm was introduced to estimate the positions. In order to improve the precision of the positions, the extended Kalman filter (EKF) was adopted. The presented algorithm was tested in a tank, and the maximum estimation error of SLAM gained was 0.25 m. The tests verify that this method can maintain better association efficiency and reduce navigation error.

  18. Underwater Simultaneous Localization and Mapping Based on Forward-looking Sonar

    Institute of Scientific and Technical Information of China (English)

    Tiedong Zhang; Wenjing Zeng; Lei Wan

    2011-01-01

    A method of underwater simultaneous localization and mapping (SLAM) based on forward-looking sonar was proposed in this paper.Positions of objects were obtained by the forward-looking sonar,and an improved association method based on an ant colony algorithm was introduced to estimate the positions.In order to improve the precision of the positions,the extended Kalman filter (EKF) was adopted.The presented algorithm was tested in a tank,and the maximum estimation error of SLAM gained was 0.25 m.The tests verify that this method can maintain better association efficiency and reduce navigation error.

  19. Study of few-mode fiber based SMS sensor for simultaneous measurement of temperature and strain

    Science.gov (United States)

    Nakajima, Kazuhide; Sakamoto, Taiji; Goto, Yukihiro; Fukai, Chisato; Matsui, Takashi; Yamamoto, Fumihiko; Kurashima, Toshio

    2015-09-01

    The applicability of few-mode fiber (FMF) as a single-multi-single (SMS) sensor is investigated. We examine experimentally the wavelength shift and/or visibility characteristics in an FMF based SMS sensor by changing the external temperature and longitudinal strain individually. We investigate numerically the temperature sensitivity of the fabricated sensor by considering the temperature dependence of the effective refractive index difference. Our results show that an FMF based SMS sensor can be used to measure the relative variation in temperature and strain simultaneously, and whose sensitivity can be tailored easily by designing two LP modes in an FMF.

  20. Improved simultaneous estimation of tracer kinetic models with artificial immune network based optimization method.

    Science.gov (United States)

    Liu, L; Ding, H; Huang, H B

    2016-01-01

    Tracer kinetic modeling (TKM) is a promising quantitative method for physiological and biochemical processes in vivo. In this paper, we investigated the applications of an immune-inspired method to better address the issues of Simultaneous Estimation (SIME) of TKM with multimodal optimization. Experiments of dynamic FDG PET imaging experiments and simulation studies were carried out. The proposed artificial immune network (TKM_AIN) shows more scalable and effective when compared with the gradient-based Marquardt-Levenberg algorithm and the scholastic-based simulated annealing method. PMID:26433131

  1. Cryptoschemes Based on Difficulty of Simultaneous Solving Two Different Difficult Problems

    Directory of Open Access Journals (Sweden)

    A.N. Berezin

    2013-10-01

    Full Text Available The paper proposes a general method for construction cryptoschemes based on difficulty of simultaneous solving factoring (FP and discrete logarithm modulo prime problem (DLpP. The proposed approach is applicable for construction digital signatures (usual, blind, collective, public key encryption algorithms, public key distribution protocols, and cryptoschemes of other types. Moreover, the proposed approach provides reducing the signature size and increasing the rate of the cryptoschemes, while comparing with the known designs of the digital signature protocols based on the FP and DLpP.

  2. A value-based preventive maintenance policy for multi-component system with continuously degrading components

    International Nuclear Information System (INIS)

    A dynamic preventive maintenance policy for system with continuously degrading components is investigated in this paper. Different from traditional cost-centric preventive maintenance policy, our maintenance strategy is formulated from the value perspective. Component value is modelled as a function of component reliability distribution. Maintenance action is triggered whenever the system reliability drops below a certain threshold. Our policy mainly consists of two steps: (i) determine which component to maintain; (ii) determine to what degree the component should be maintained. In Step 1, we introduce the yield-cost importance to select the most important component. In Step 2, the optimal maintenance level is obtained by maximizing the net value of the maintenance action. Finally, numerical examples are given to illustrate the proposed policy

  3. Modeling PCB dechlorination in aquatic sediments by principal component based factor analysis and positive matrix factorization

    Science.gov (United States)

    Christensen, E. R.; Bzdusek, P. A.

    2003-04-01

    Anaerobic PCB dechlorination in aquatic sediments is a naturally occurring process that reduces the dioxin-like PCB toxicity. The PCB biphenyl structure is kept intact but the number of substituted chlorine atoms is reduced, primarily from the para and meta positions. Flanked para and meta chlorine dechlorination, as in process H/H', appears to be more common in-situ than flanked and unflanked para, and meta dechlorination as in process Q. Aroclors that are susceptible to these reactions include 1242, 1248, 1254, and 1260. These dechlorination reactions have recently been modeled by a least squares method for Ashtabula River, Ohio, and Fox River, Wisconsin sediments. Prior to modeling the dechlorination reactions for an ecosystem it is desirable to generate overall PCB source functions. One method to determine source functions is to use loading matrices of a factor analytical model. We have developed such models based both on a principal component approach including nonnegative oblique rotations, and positive matrix factorization (PMF). While the principal component method first requires an eigenvalue analysis of a covariance matrix, the PMF method is based on a direct least squares analysis considering simultaneously the loading and score matrices. Loading matrices obtained from the PMF method are somewhat sensitive to the initial guess of source functions. Preliminary work indicates that a hybrid approach considering first principal components and then PMF may offer an optimum solution. The relationship of PMF to conventional chemical mass balance modeling with or without some prior knowledge of source functions is also discussed.

  4. NONLINEAR DATA RECONCILIATION METHOD BASED ON KERNEL PRINCIPAL COMPONENT ANALYSIS

    Institute of Scientific and Technical Information of China (English)

    2003-01-01

    In the industrial process situation, principal component analysis (PCA) is a general method in data reconciliation.However, PCA sometime is unfeasible to nonlinear feature analysis and limited in application to nonlinear industrial process.Kernel PCA (KPCA) is extension of PCA and can be used for nonlinear feature analysis.A nonlinear data reconciliation method based on KPCA is proposed.The basic idea of this method is that firstly original data are mapped to high dimensional feature space by nonlinear function, and PCA is implemented in the feature space.Then nonlinear feature analysis is implemented and data are reconstructed by using the kernel.The data reconciliation method based on KPCA is applied to ternary distillation column.Simulation results show that this method can filter the noise in measurements of nonlinear process and reconciliated data can represent the true information of nonlinear process.

  5. Quantitative evaluation of simultaneous reconstruction with model-based crosstalk compensation for 99mTc/123I dual-isotope simultaneous acquisition brain SPECT.

    Science.gov (United States)

    Du, Yong; Frey, Eric C

    2009-06-01

    A model-based method has been previously developed to estimate and compensate for the crosstalk and downscatter contamination in simultaneous 123I/99mTc dual-isotope SPECT imaging. In this method, photon scatter in the object is modeled using the effective source scatter estimate technique. Photon interactions with the collimator-detector are estimated using precalculated Monte Carlo simulated point response functions. Two different approaches, simultaneous and alternating model-based compensations, have been proposed for iterative reconstruction-based crosstalk and downscatter contamination compensation. In this work, both model-based approaches were evaluated in the context of quantitative accuracy when imaging the dopaminergic system using both Monte Carlo simulated and experimentally acquired data. Results indicate that mddel-based estimates of the crosstalk and downscatter contamination in both energy windows were in good agreement with the truth for the simulated data. The effects of the contamination reduced image contrast and overestimated absolute activity in all structures by up to 66%. Compensation using both model-based approaches improved image contrast. Errors in absolute activity quantitation were also reduced to less than +/-5% for most brain structures. The accuracy of striatal specific binding potentials, calculated as the ratio of activity in various striatal structures to the background, was also greatly improved after model-based compensation. In conclusion, model-based compensation of simultaneously acquired images of 99mTc and 123I labeled brain imaging agents provided image quality and quantitative accuracy that were comparable to the image without crosstalk. Both proposed compensation approaches can potentially be applied clinically, but when reconstruction time is a limiting factor, the alternating model-based compensation may be preferable. PMID:19610291

  6. Blind spectral unmixing based on sparse component analysis for hyperspectral remote sensing imagery

    Science.gov (United States)

    Zhong, Yanfei; Wang, Xinyu; Zhao, Lin; Feng, Ruyi; Zhang, Liangpei; Xu, Yanyan

    2016-09-01

    Recently, many blind source separation (BSS)-based techniques have been applied to hyperspectral unmixing. In this paper, a new blind spectral unmixing method based on sparse component analysis (BSUSCA) is proposed to solve the problem of highly mixed data. The BSUSCA algorithm consists of an alternative scheme based on two-block alternating optimization, by which we can simultaneously obtain the endmember signatures and their corresponding fractional abundances. According to the spatial distribution of the endmembers, the sparse properties of the fractional abundances are considered in the proposed algorithm. A sparse component analysis (SCA)-based mixing matrix estimation method is applied to update the endmember signatures, and the abundance estimation problem is solved by the alternating direction method of multipliers (ADMM). SCA is utilized for the unmixing due to its various advantages, including the unique solution and robust modeling assumption. The robustness of the proposed algorithm is verified through simulated experimental study. The experimental results using both simulated data and real hyperspectral remote sensing images confirm the high efficiency and precision of the proposed algorithm.

  7. Simultaneous bioreduction of nitrate and chromate using sulfur-based mixotrophic denitrification process

    Energy Technology Data Exchange (ETDEWEB)

    Sahinkaya, Erkan, E-mail: erkansahinkaya@yahoo.com [Istanbul Medeniyet University, Bioengineering Department, Goztepe, Istanbul (Turkey); Kilic, Adem [Harran University, Environmental Engineering Department, Osmanbey Campus, 63000 Sanliurfa (Turkey); Calimlioglu, Beste; Toker, Yasemin [Istanbul Medeniyet University, Bioengineering Department, Goztepe, Istanbul (Turkey)

    2013-11-15

    Highlights: • Simultaneous heterotrophic and autotrophic denitrification was stimulated. • Simultaneous bioreduction of nitrate and chromate was achieved. • Total chromium decreased <50 μg/L when the influent Cr(VI) was ≤5 mg/L. -- Abstract: This study aims at evaluating simultaneous chromate and nitrate reduction using sulfur-based mixotrophic denitrification process in a column reactor packed with elemental sulfur and activated carbon. The reactor was supplemented with methanol at C/N ratio of 1.33 or 2. Almost complete denitrification was achieved at influent NO{sub 3}{sup −}–N and Cr(VI) concentrations of 75 mg/L and 10 mg/L, respectively, and 3.7 h HRT. Maximum denitrification rate was 0.5 g NO{sub 3}{sup −}–N/(L.d) when the bioreactor was fed with 75 mg/L NO{sub 3}{sup −}–N, 150 mg/L methanol and 10 mg/L Cr(VI). The share of autotrophic denitrification was between 12% and 50% depending on HRT, C/N ratio and Cr(VI) concentration. Effluent total chromium was below 50 μg/L provided that influent Cr(VI) concentration was equal or below 5 mg/L. DGGE results showed stable microbial community throughout the operation and the presence of sulfur oxidizing denitrifying bacteria (Thiobacillus denitrificans) and Cr(VI) reducing bacteria (Exiguobacterium spp.) in the column bed.

  8. Simultaneous spectrophotometric determination of phenobarbital, phenytoin and methylphenobarbital in pharmaceutical preparations by using partial least-squares and principal component regression multivariate calibration.

    Science.gov (United States)

    Boeris; Luco, J M; Olsina, R A

    2000-12-15

    Two multivariate calibration methods, partial least squares (PLS-2) and principal component regression (PCR) have been applied to the simultaneous spectrophotometric analysis of ternary mixtures of phenytoin (DPH), phenobarbital (PBT) and methylphenobarbital (MPBT) in the Comital-L pharmaceutical formulation. The PLS-2 and PCR procedures were employed to evaluate the data of a variable number of calibration solutions measured over the wavelength range 400-700 nm. The concentration ranges used to construct the calibration matrix were varied between 5 and 30 microg ml(-1). The proposed methods were validated by applying them to the analysis of the Comital-L pharmaceutical formulation and the average relative errors were less than 6% for each one of the analyzed compounds. The results obtained by both proposed methods have been compared with the results obtained by application of a RPLC reference method. PMID:11130205

  9. Templated assembly of albumin-based nanoparticles for simultaneous gene silencing and magnetic resonance imaging

    Science.gov (United States)

    Mertz, Damien; Affolter-Zbaraszczuk, Christine; Barthès, Julien; Cui, Jiwei; Caruso, Frank; Baumert, Thomas F.; Voegel, Jean-Claude; Ogier, Joelle; Meyer, Florent

    2014-09-01

    In this article, we address the design of innovative human serum albumin (HSA)-based nanoparticles loaded with silencing RNA and grafted with gadolinium complexes having average sizes ranging from ca. 50 to 150 nm according to the siRNA/HSA composition. The non-covalent siRNA/HSA assembly is formed on isobutyramide-modified mesoporous silica and the self-supported HSA-based nanoparticles are obtained following the silica template dissolution. These original protein particles provide simultaneous magnetic resonance imaging contrast enhancement and cellular in vitro gene silencing.In this article, we address the design of innovative human serum albumin (HSA)-based nanoparticles loaded with silencing RNA and grafted with gadolinium complexes having average sizes ranging from ca. 50 to 150 nm according to the siRNA/HSA composition. The non-covalent siRNA/HSA assembly is formed on isobutyramide-modified mesoporous silica and the self-supported HSA-based nanoparticles are obtained following the silica template dissolution. These original protein particles provide simultaneous magnetic resonance imaging contrast enhancement and cellular in vitro gene silencing. Electronic supplementary information (ESI) available: Experimental details and supporting Fig. S1-S4. See DOI: 10.1039/c4nr02623c

  10. Simultaneous measurement of normal and friction forces using a cantilever-based optical interfacial force microscope

    Science.gov (United States)

    Kim, Byung I.; Bonander, Jeremy R.; Rasmussen, Jared A.

    2011-05-01

    We measured normal and friction forces simultaneously using a recently developed cantilever-based optical interfacial force microscope technique for studies of interfacial structures and mechanical properties of nanoscale materials. We derived how the forces can be incorporated into the detection signal using the classical Euler equation for beams. A lateral modulation with the amplitude of nanometers was applied to create the friction forces between tip and sample. We demonstrated its capability by measuring normal and friction forces of interfacial water at the molecular scale over all distance ranges.

  11. Approach of simultaneous localization and mapping based on local maps for robot

    Institute of Scientific and Technical Information of China (English)

    CHEN Bai-fan; CAI Zi-xing; HU De-wen

    2006-01-01

    An extended Kalman filter approach of simultaneous localization and mapping(SLAM) was proposed based on local maps.A local frame of reference was established periodically at the position of the robot, and then the observations of the robot and landmarks were fused into the global frame of reference. Because of the independence of the local map, the approach does not cumulate the estimate and calculation errors which are produced by SLAM using Kalman filter directly. At the same time, it reduces the computational complexity. This method is proven correct and feasible in simulation experiments.

  12. A Turbidity Test Based Centrifugal Microfluidics Diagnostic System for Simultaneous Detection of HBV, HCV, and CMV

    Directory of Open Access Journals (Sweden)

    Hung-Cheng Chang

    2015-01-01

    Full Text Available This paper presents a LAMP- (loop-mediated isothermal amplification- based lab-on-disk optical system that allows the simultaneous detection of hepatitis B virus, hepatitis C virus, and cytomegalovirus. The various flow stages are controlled in the proposed system using different balance among centrifugal pumping, Coriolis pumping, and the capillary force. We have implemented a servo system for positioning and speed control for the heating and centrifugal pumping. We have also successfully employed a polymer light-emitting diode section for turbidity detection. The easy-to-use one-click system can perform diagnostics in less than 1 hour.

  13. Modelling raster-based monthly water balance components for Europe

    Energy Technology Data Exchange (ETDEWEB)

    Ulmen, C.

    2000-11-01

    The terrestrial runoff component is a comparatively small but sensitive and thus significant quantity in the global energy and water cycle at the interface between landmass and atmosphere. As opposed to soil moisture and evapotranspiration which critically determine water vapour fluxes and thus water and energy transport, it can be measured as an integrated quantity over a large area, i.e. the river basin. This peculiarity makes terrestrial runoff ideally suited for the calibration, verification and validation of general circulation models (GCMs). Gauging stations are not homogeneously distributed in space. Moreover, time series are not necessarily continuously measured nor do they in general have overlapping time periods. To overcome this problems with regard to regular grid spacing used in GCMs, different methods can be applied to transform irregular data to regular so called gridded runoff fields. The present work aims to directly compute the gridded components of the monthly water balance (including gridded runoff fields) for Europe by application of the well-established raster-based macro-scale water balance model WABIMON used at the Federal Institute of Hydrology, Germany. Model calibration and validation is performed by separated examination of 29 representative European catchments. Results indicate a general applicability of the model delivering reliable overall patterns and integrated quantities on a monthly basis. For time steps less then too weeks further research and structural improvements of the model are suggested. (orig.)

  14. Simultaneous State and Parameter Estimation Based Actuator Fault Detection and Diagnosis for an Unmanned Helicopter

    Directory of Open Access Journals (Sweden)

    Wu Chong

    2015-03-01

    Full Text Available Simultaneous state and parameter estimation based actuator fault detection and diagnosis (FDD for single-rotor unmanned helicopters (UHs is investigated in this paper. A literature review of actuator FDD for UHs is given firstly. Based on actuator healthy coefficients (AHCs, which are introduced to represent actuator faults, a combined dynamic model is established with the augmented state containing both the flight state and AHCs. Then the actuator fault detection and diagnosis problem is transformed into a general nonlinear estimation one: given control inputs and the measured flight state contaminated by measurement noises, estimate both the flight state and AHCs recursively in each time-step, which is also known as the simultaneous state and parameter estimation problem. The estimated AHCs can further be used for fault tolerant control (FTC. Based on the existing widely used nonlinear estimation methods such as the unscented Kalman filter (UKF and the extended set-membership filter (ESMF, three kinds of adaptive schemes (KF-UKF, MIT-UKF and MIT-ESMF are proposed by our team to improve the actuator FDD performance. A comprehensive comparative study on these different estimation methods is given in detail to illustrate their advantages and disadvantages when applied to unmanned helicopter actuator FDD.

  15. Component-based handprint segmentation using adaptive writing style model

    Science.gov (United States)

    Garris, Michael D.

    1997-04-01

    Building upon the utility of connected components, NIST has designed a new character segmentor based on statistically modeling the style of a person's handwriting. Simple spatial features capture the characteristics of a particular writer's style of handprint, enabling the new method to maintain a traditional character-level segmentation philosophy without the integration of recognition or the use of oversegmentation and linguistic postprocessing. Estimates for stroke width and character height are used to compute aspect ratio and standard stroke count features that adapt to the writer's style at the field level. The new method has been developed with a predetermined set of fuzzy rules making the segmentor much less fragile and much more adaptive, and the new method successfully reconstructs fragmented characters as well as splits touching characters. The new segmentor was integrated into the NIST public domain form-based handprint recognition systems and then tested on a set of 490 handwriting sample forms found in NIST special database 19. When compared to a simple component-based segmentor, the new adaptable method improved the overall recognition of handprinted digits by 3.4 percent and field level recognition by 6.9 percent, while effectively reducing deletion errors by 82 percent. The same program code and set of parameters successfully segments sequences of uppercase and lowercase characters without any context-based tuning. While not as dramatic as digits, the recognition of uppercase and lowercase characters improved by 1.7 percent and 1.3 percent respectively. The segmentor maintains a relatively straight-forward and logical process flow avoiding convolutions of encoded exceptions as is common in expert systems. As a result, the new segmentor operates very efficiently, and throughput as high as 362 characters per second can be achieved. Letters and numbers are constructed from a predetermined configuration of a relatively small number of strokes. Results

  16. Nonlinear fault diagnosis method based on kernel principal component analysis

    Institute of Scientific and Technical Information of China (English)

    Yan Weiwu; Zhang Chunkai; Shao Huihe

    2005-01-01

    To ensure the system run under working order, detection and diagnosis of faults play an important role in industrial process. This paper proposed a nonlinear fault diagnosis method based on kernel principal component analysis (KPCA). In proposed method, using essential information of nonlinear system extracted by KPCA, we constructed KPCA model of nonlinear system under normal working condition. Then new data were projected onto the KPCA model. When new data are incompatible with the KPCA model, it can be concluded that the nonlinear system isout of normal working condition. Proposed method was applied to fault diagnosison rolling bearings. Simulation results show proposed method provides an effective method for fault detection and diagnosis of nonlinear system.

  17. High Q, Miniaturized LCP-Based Passive Components

    KAUST Repository

    Shamim, Atif

    2014-10-16

    Various methods and systems are provided for high Q, miniaturized LCP-based passive components. In one embodiment, among others, a spiral inductor includes a center connection and a plurality of inductors formed on a liquid crystal polymer (LCP) layer, the plurality of inductors concentrically spiraling out from the center connection. In another embodiment, a vertically intertwined inductor includes first and second inductors including a first section disposed on a side of the LCP layer forming a fraction of a turn and a second section disposed on another side of the LCP layer. At least a portion of the first section of the first inductor is substantially aligned with at least a portion of the second section of the second inductor and at least a portion of the first section of the second inductor is substantially aligned with at least a portion of the second section of the first inductor.

  18. Risk-based ranking of IST components at Seabrook Station

    International Nuclear Information System (INIS)

    Utilities that operate nuclear power plants are facing increasing cost-competitive pressures. In an effort to maintain, and in most cases improve, safety margins while reducing budgets, many companies are using probabilistic methods to help allocate resources efficiently. Probabilistic ranking methods and strategies are also receiving increasing acceptance from the U.S. Nuclear Regulatory Commission, The American Society of Mechanical Engineers, and other regulatory, standards, and oversight bodies. Application of probabilistic methods at Seabrook Station indicates that inservice testing (IST) has the potential for significant reductions in resource expenditures without compromising safety margins. This paper describes the preliminary results of a risk-based ranking of IST components at Seabrook Station and offers an overview of the strategy for applying these results to the IST program. The application will include additional ranking and sensitivity evaluations (beyond those described in this paper) to ensure the fidelity of the final conclusion

  19. Iris recognition based on robust principal component analysis

    Science.gov (United States)

    Karn, Pradeep; He, Xiao Hai; Yang, Shuai; Wu, Xiao Hong

    2014-11-01

    Iris images acquired under different conditions often suffer from blur, occlusion due to eyelids and eyelashes, specular reflection, and other artifacts. Existing iris recognition systems do not perform well on these types of images. To overcome these problems, we propose an iris recognition method based on robust principal component analysis. The proposed method decomposes all training images into a low-rank matrix and a sparse error matrix, where the low-rank matrix is used for feature extraction. The sparsity concentration index approach is then applied to validate the recognition result. Experimental results using CASIA V4 and IIT Delhi V1iris image databases showed that the proposed method achieved competitive performances in both recognition accuracy and computational efficiency.

  20. Nominal and Structural Subtyping in Component-Based Programming

    DEFF Research Database (Denmark)

    Ostermann, Klaus

    2007-01-01

    type. We analyze structural and different flavors of nominal subtyping from the perspective of component-based programming, where issues such as blame assignment and modular extensibility are important. Our analysis puts various existing subtyping mechanisms into a common frame of reference......In nominal type systems, the subtype relation is between names of types, and subtype links are explicitly declared. In structural type systems, names are irrelevant; in determining type compatibility, only the structure of types is considered, and a type name is just an abbreviation for the full...... and delineates the frontiers of the subtyping design space. In addition, we propose a new subtyping definition in one particularly interesting corner of the design space which combines the safety of nominal subtyping with the flexibility of structural subtyping....

  1. Mobile Robot Simultaneous Localization and Mapping Based on a Monocular Camera

    Directory of Open Access Journals (Sweden)

    Songmin Jia

    2016-01-01

    Full Text Available This paper proposes a novel monocular vision-based SLAM (Simultaneous Localization and Mapping algorithm for mobile robot. In this proposed method, the tracking and mapping procedures are split into two separate tasks and performed in parallel threads. In the tracking thread, a ground feature-based pose estimation method is employed to initialize the algorithm for the constraint moving of the mobile robot. And an initial map is built by triangulating the matched features for further tracking procedure. In the mapping thread, an epipolar searching procedure is utilized for finding the matching features. A homography-based outlier rejection method is adopted for rejecting the mismatched features. The indoor experimental results demonstrate that the proposed algorithm has a great performance on map building and verify the feasibility and effectiveness of the proposed algorithm.

  2. Alpha Beta Monitoring System Based on a Pair of Simultaneous Multi Wire Proportional Counters

    International Nuclear Information System (INIS)

    A new approach for a simultaneous alpha beta contamination monitoring system is presented. In nuclear environments or laboratories working with open radioactive sources there exists a risk of contamination. In order to avoid external contamination hazards, hand & foot alpha beta monitoring systems are needed. Usually, monitoring systems are based on large area Multi Wire Proportional Counters (MWPC).Generally, in the MWPC detectors the filling gas is supplied by a continuous gas supply system. The filling gas should not exhibit appreciable electron attachment coefficient. Typically, a noble gas such as Argon Methane, 90%Ar+10%CH4 is in use. This method of measurement is effective, yet it requires expensive maintenance costs due to gas flow control and periodical replacements. Several hand held commercial detectors such as Rotem Ind. PA-100, are based on free air flow alpha MWPC. Due to the energy released from the alpha particles in the filling gas a large number of ion pairs are formed. Despite the electron attachment coefficient of free air, a measurable pulse is obtained. Contrary to alpha sources, beta emitters deposit only a small part of their energy. In order to obtain a measurable pulse from beta interactions, oxygen free gas is required. Gas sealed detectors which are appropriate for beta measurements, require a relative thick entrance window in order to avoid gas leakage. Thick windows absorb alpha particles so that they are not appropriate for alpha measurement. The presented approach combines a pair of simultaneous MWPC assembled in a ôpancakeö type configuration; the sealed gas beta counter is located behind a free air alpha detector. This approach enables simultaneous alpha-beta measurement without needing continuous gas supply

  3. Simultaneous Determination of 11 Components in Yinzhihuang Preparations and Their Constituent Herbs by High-Performance Liquid Chromatography with Diode Array Detector.

    Science.gov (United States)

    Du, Yan; Han, Jie; Sun, Shi-An; Li, Zheng; Yang, Fang-Xiu; Dong, Lu-Lu; Yang, Dong-Zhi; Tang, Dao-Quan

    2016-04-01

    A simple and sensitive liquid chromatography method with diode array detector was established for simultaneous determination of 11 components (geniposidic acid, chlorogenic acid, caffeic acid, geniposide, luteoloside, isochlorogenic acid C, baicalin, luteolin, wogonoside, baicalein and wogonin) in various commercial Yinzhihuang preparations and their herbs by optimizing the extraction, separation and analytical conditions. Eleven components were identified on the basis of their retention times and mass spectra. Chromatographic separation was performed on a C18 analytical column with a gradient elution of acetonitrile and 0.1% formic acid water solution at a flow rate of 1.0 mL/min. The linearity, precision and accuracy of the data obtained were acceptable. The method was used to analyze four Yinzhihuang preparations (powder, capsule, oral liquid and injection) and related herbs (Radix Scutellariae, Flos Lonicerae, Herba Artemisiae Scopariae and Fructus gardeniae). Results suggested that the optimized method could be considered as a good approach to control the quality of Yinzhihuang preparations and their herbs. PMID:26809640

  4. Optical fiber-based full Mueller polarimeter for endoscopic imaging using a two-wavelength simultaneous measurement method.

    Science.gov (United States)

    Vizet, Jérémy; Manhas, Sandeep; Tran, Jacqueline; Validire, Pierre; Benali, Abdelali; Garcia-Caurel, Enric; Pierangelo, Angelo; De Martino, Antonello; Pagnoux, Dominique

    2016-07-01

    This paper reports a technique based on spectrally differential measurement for determining the full Mueller matrix of a biological sample through an optical fiber. In this technique, two close wavelengths were used simultaneously, one for characterizing the fiber and the other for characterizing the assembly of fiber and sample. The characteristics of the fiber measured at one wavelength were used to decouple its contribution from the measurement on the assembly of fiber and sample and then to extract sample Mueller matrix at the second wavelength. The proof of concept was experimentally validated by measuring polarimetric parameters of various calibrated optical components through the optical fiber. Then, polarimetric images of histological cuts of human colon tissues were measured, and retardance, diattenuation, and orientation of the main axes of fibrillar regions were displayed. Finally, these images were successfully compared with images obtained by a free space Mueller microscope. As the reported method does not use any moving component, it offers attractive integration possibilities with an endoscopic probe. PMID:26848782

  5. Simultaneous detection of lactate and glucose by integrated printed circuit board based array sensing chip

    Energy Technology Data Exchange (ETDEWEB)

    Li, Xuelian [Institute for Clean Energy and Advanced Materials, Southwest University, Chongqing 400715 (China); School of Chemistry and Chemical Engineering, Southwest University, Chongqing 400715 (China); Zang, Jianfeng [Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708 (United States); Liu, Yingshuai; Lu, Zhisong [Institute for Clean Energy and Advanced Materials, Southwest University, Chongqing 400715 (China); Li, Qing, E-mail: Qli@swu.edu.cn [School of Chemistry and Chemical Engineering, Southwest University, Chongqing 400715 (China); Li, Chang Ming, E-mail: ecmli@swu.edu.cn [Institute for Clean Energy and Advanced Materials, Southwest University, Chongqing 400715 (China)

    2013-04-10

    Highlights: ► An integrated printed circuit board (PCB) based array sensing chip was developed. ► Simultaneous detection of lactate and glucose in serum has been demonstrated. ► The array electronic biochip has high signal to noise ratio and high sensitivity. ► Additional electrodes were designed on the chip to correct interferences. -- Abstract: An integrated printed circuit board (PCB) based array sensing chip was developed to simultaneously detect lactate and glucose in mouse serum. The novelty of the chip relies on a concept demonstration of inexpensive high-throughput electronic biochip, a chip design for high signal to noise ratio and high sensitivity by construction of positively charged chitosan/redox polymer Polyvinylimidazole-Os (PVI-Os)/carbon nanotube (CNT) composite sensing platform, in which the positively charged chitosan/PVI-Os is mediator and electrostatically immobilizes the negatively charged enzyme, while CNTs function as an essential cross-linker to network PVI-Os and chitosan due to its negative charged nature. Additional electrodes on the chip with the same sensing layer but without enzymes were prepared to correct the interferences for high specificity. Low detection limits of 0.6 μM and 5 μM were achieved for lactate and glucose, respectively. This work could be extended to inexpensive array sensing chips with high sensitivity, good specificity and high reproducibility for various sensor applications.

  6. Simultaneous Optimal Placement of Distributed Generation and Electric Vehicle Parking Lots Based on Probabilistic EV Model

    Directory of Open Access Journals (Sweden)

    M.H. Amini

    2013-12-01

    Full Text Available High penetration of distributed generations and the increasing demand for using electric vehicles provide a lot of issues for the utilities. If these two effective elements of the future power system are used in an unscheduled manner, it may lead to the loss increment in distribution networks, dramatically. In this paper, the simultaneous allocation of distributed generations (DGs and electric vehicles (EVs parking lots has been studied in a radial distribution network. A distribution network which is upgrading and equipped with DGs is considered and these resources' optimal placement is achieved in interaction with the EV parking lots in order to minimize the power distribution network loss. The proposed method considers not only the loss minimization but also the reliability of the parking lot from the investor's point of view. The output of this model is the daily electricity demand of parking lot. The proposed method includes two levels. At the first level of the proposed algorithm, the parking lot investor makes decision and selects three candidate buses for each parking based on three main criteria. After making decision by the parking lot investor, the candidate buses are introduced to the distribution network operator. At the second stage, the distribution network operator allocates the DGs and EV parking lots based on the candidate buses of investor in order to achieve the minimum loss of the distribution network. Finally, the effectiveness of the proposed method is evaluated by allocating of DGs and EV parking lots simultaneously on the standard distribution test system.

  7. Simultaneous detection of lactate and glucose by integrated printed circuit board based array sensing chip

    International Nuclear Information System (INIS)

    Highlights: ► An integrated printed circuit board (PCB) based array sensing chip was developed. ► Simultaneous detection of lactate and glucose in serum has been demonstrated. ► The array electronic biochip has high signal to noise ratio and high sensitivity. ► Additional electrodes were designed on the chip to correct interferences. -- Abstract: An integrated printed circuit board (PCB) based array sensing chip was developed to simultaneously detect lactate and glucose in mouse serum. The novelty of the chip relies on a concept demonstration of inexpensive high-throughput electronic biochip, a chip design for high signal to noise ratio and high sensitivity by construction of positively charged chitosan/redox polymer Polyvinylimidazole-Os (PVI-Os)/carbon nanotube (CNT) composite sensing platform, in which the positively charged chitosan/PVI-Os is mediator and electrostatically immobilizes the negatively charged enzyme, while CNTs function as an essential cross-linker to network PVI-Os and chitosan due to its negative charged nature. Additional electrodes on the chip with the same sensing layer but without enzymes were prepared to correct the interferences for high specificity. Low detection limits of 0.6 μM and 5 μM were achieved for lactate and glucose, respectively. This work could be extended to inexpensive array sensing chips with high sensitivity, good specificity and high reproducibility for various sensor applications

  8. State‐of‐the‐art and progress in the optimization‐based simultaneous design and control for chemical processes

    DEFF Research Database (Denmark)

    Yuan, Zhihong; Chen, Bingzhen; Sin, Gürkan;

    2012-01-01

    Significant progress in the area of simultaneous design and control for chemical processes has been achieved and various methodologies have been put forward to address this issue over the last several decades. These methods can be classified in two categories (1) controllability indicator......‐based frameworks that are capable of screening alternative designs, and (2) optimization‐based frameworks that integrate the process design and control system design. The major objective is to give an up‐to‐date review of the state‐of‐the‐art and progress in the challenging area of optimization‐based simultaneous...... design and control. First, motivations and significances of simultaneous design and control are illustrated. Second, a general classification of existing methodologies of optimization‐based simultaneous design and control is outlined. Subsequently, the mathematical formulations and relevant theoretical...

  9. Evaluating the hydrological consistency of satellite based water cycle components

    KAUST Repository

    Lopez, Oliver

    2016-06-15

    Advances in multi-satellite based observations of the earth system have provided the capacity to retrieve information across a wide-range of land surface hydrological components and provided an opportunity to characterize terrestrial processes from a completely new perspective. Given the spatial advantage that space-based observations offer, several regional-to-global scale products have been developed, offering insights into the multi-scale behaviour and variability of hydrological states and fluxes. However, one of the key challenges in the use of satellite-based products is characterizing the degree to which they provide realistic and representative estimates of the underlying retrieval: that is, how accurate are the hydrological components derived from satellite observations? The challenge is intrinsically linked to issues of scale, since the availability of high-quality in-situ data is limited, and even where it does exist, is generally not commensurate to the resolution of the satellite observation. Basin-scale studies have shown considerable variability in achieving water budget closure with any degree of accuracy using satellite estimates of the water cycle. In order to assess the suitability of this type of approach for evaluating hydrological observations, it makes sense to first test it over environments with restricted hydrological inputs, before applying it to more hydrological complex basins. Here we explore the concept of hydrological consistency, i.e. the physical considerations that the water budget impose on the hydrologic fluxes and states to be temporally and spatially linked, to evaluate the reproduction of a set of large-scale evaporation (E) products by using a combination of satellite rainfall (P) and Gravity Recovery and Climate Experiment (GRACE) observations of storage change, focusing on arid and semi-arid environments, where the hydrological flows can be more realistically described. Our results indicate no persistent hydrological

  10. Bonding and Integration Technologies for Silicon Carbide Based Injector Components

    Science.gov (United States)

    Halbig, Michael C.; Singh, Mrityunjay

    2008-01-01

    Advanced ceramic bonding and integration technologies play a critical role in the fabrication and application of silicon carbide based components for a number of aerospace and ground based applications. One such application is a lean direct injector for a turbine engine to achieve low NOx emissions. Ceramic to ceramic diffusion bonding and ceramic to metal brazing technologies are being developed for this injector application. For the diffusion bonding, titanium interlayers (PVD and foils) were used to aid in the joining of silicon carbide (SiC) substrates. The influence of such variables as surface finish, interlayer thickness (10, 20, and 50 microns), processing time and temperature, and cooling rates were investigated. Microprobe analysis was used to identify the phases in the bonded region. For bonds that were not fully reacted an intermediate phase, Ti5Si3Cx, formed that is thermally incompatible in its thermal expansion and caused thermal stresses and cracking during the processing cool-down. Thinner titanium interlayers and/or longer processing times resulted in stable and compatible phases that did not contribute to microcracking and resulted in an optimized microstructure. Tensile tests on the joined materials resulted in strengths of 13-28 MPa depending on the SiC substrate material. Non-destructive evaluation using ultrasonic immersion showed well formed bonds. For the joining technology of brazing Kovar fuel tubes to silicon carbide, preliminary development of the joining approach has begun. Various technical issues and requirements for the injector application are addressed.

  11. An Ultrasound Image Despeckling Approach Based on Principle Component Analysis

    Directory of Open Access Journals (Sweden)

    Jawad F. Al-Asad

    2014-07-01

    Full Text Available An approach based on principle component analysis (PCA to filter out multiplicative noise from ultrasound images is presented in this paper. An image with speckle noise is segmented into small dyadic lengths, depending on the original size of the image, and the global covariance matrix is found. A projection matrix is then formed by selecting the maximum eigenvectors of the global covariance matrix. This projection matrix is used to filter speckle noise by projecting each segment into the signal subspace. The approach is based on the assumption that the signal and noise are independent and that the signal subspace is spanned by a subset of few principal eigenvectors. When applied on simulated and real ultrasound images, the proposed approach has outperformed some popular nonlinear denoising techniques such as 2D wavelets, 2D total variation filtering, and 2D anisotropic diffusion filtering in terms of edge preservation and maximum cleaning of speckle noise. It has also showed lower sensitivity to outliers resulting from the log transformation of the multiplicative noise.

  12. Robust fetal QRS detection from noninvasive abdominal electrocardiogram based on channel selection and simultaneous multichannel processing.

    Science.gov (United States)

    Ghaffari, Ali; Mollakazemi, Mohammad Javad; Atyabi, Seyyed Abbas; Niknazar, Mohammad

    2015-12-01

    The purpose of this study is to provide a new method for detecting fetal QRS complexes from non-invasive fetal electrocardiogram (fECG) signal. Despite most of the current fECG processing methods which are based on separation of fECG from maternal ECG (mECG), in this study, fetal heart rate (FHR) can be extracted with high accuracy without separation of fECG from mECG. Furthermore, in this new approach thoracic channels are not necessary. These two aspects have reduced the required computational operations. Consequently, the proposed approach can be efficiently applied to different real-time healthcare and medical devices. In this work, a new method is presented for selecting the best channel which carries strongest fECG. Each channel is scored based on two criteria of noise distribution and good fetal heartbeat visibility. Another important aspect of this study is the simultaneous and combinatorial use of available fECG channels via the priority given by their scores. A combination of geometric features and wavelet-based techniques was adopted to extract FHR. Based on fetal geometric features, fECG signals were divided into three categories, and different strategies were employed to analyze each category. The method was validated using three datasets including Noninvasive fetal ECG database, DaISy and PhysioNet/Computing in Cardiology Challenge 2013. Finally, the obtained results were compared with other studies. The adopted strategies such as multi-resolution analysis, not separating fECG and mECG, intelligent channels scoring and using them simultaneously are the factors that caused the promising performance of the method. PMID:26462679

  13. WEB SERVICE SELECTION ALGORITHM BASED ON PRINCIPAL COMPONENT ANALYSIS

    Institute of Scientific and Technical Information of China (English)

    Kang Guosheng; Liu Jianxun; Tang Mingdong; Cao Buqing

    2013-01-01

    Existing Web service selection approaches usually assume that preferences of users have been provided in a quantitative form by users.However,due to the subjectivity and vagueness of preferences,it may be impractical for users to specify quantitative and exact preferences.Moreover,due to that Quality of Service (QoS) attributes are often interrelated,existing Web service selection approaches which employ weighted summation of QoS attribute values to compute the overall QoS of Web services may produce inaccurate results,since they do not take correlations among QoS attributes into account.To resolve these problems,a Web service selection framework considering user's preference priority is proposed,which incorporates a searching mechanism with QoS range setting to identify services satisfying the user's QoS constraints.With the identified service candidates,based on the idea of Principal Component Analysis (PCA),an algorithm of Web service selection named PCAoWSS (Web Service Selection based on PCA) is proposed,which can eliminate the correlations among QoS attributes and compute the overall QoS of Web services accurately.After computing the overall QoS for each service,the algorithm ranks the Web service candidates based on their overall QoS and recommends services with top QoS values to users.Finally,the effectiveness and feasibility of our approach are validated by experiments,i.e.the selected Web service by our approach is given high average evaluation than other ones by users and the time cost of PCA-WSS algorithm is not affected acutely by the number of service candidates.

  14. Application of fuzzy-MOORA method: Ranking of components for reliability estimation of component-based software systems

    Directory of Open Access Journals (Sweden)

    Zeeshan Ali Siddiqui

    2016-01-01

    Full Text Available Component-based software system (CBSS development technique is an emerging discipline that promises to take software development into a new era. As hardware systems are presently being constructed from kits of parts, software systems may also be assembled from components. It is more reliable to reuse software than to create. It is the glue code and individual components reliability that contribute to the reliability of the overall system. Every component contributes to overall system reliability according to the number of times it is being used, some components are of critical usage, known as usage frequency of component. The usage frequency decides the weight of each component. According to their weights, each component contributes to the overall reliability of the system. Therefore, ranking of components may be obtained by analyzing their reliability impacts on overall application. In this paper, we propose the application of fuzzy multi-objective optimization on the basis of ratio analysis, Fuzzy-MOORA. The method helps us find the best suitable alternative, software component, from a set of available feasible alternatives named software components. It is an accurate and easy to understand tool for solving multi-criteria decision making problems that have imprecise and vague evaluation data. By the use of ratio analysis, the proposed method determines the most suitable alternative among all possible alternatives, and dimensionless measurement will realize the job of ranking of components for estimating CBSS reliability in a non-subjective way. Finally, three case studies are shown to illustrate the use of the proposed technique.

  15. A gradient based facile HPLC method for simultaneous estimation of antioxidants extracted from tea powder.

    Science.gov (United States)

    Nanjegowda, Shankara H; Papanna, Manasa G; Achar, Raghu Ram; Rangappa, Kanchugarakoppal S; Mallu, Puttaswamappa; Swamy, Shivananju Nanjunda

    2016-05-01

    A new simple, rapid and precise RP-HPLC method was developed for the extraction and quantitative estimation of caffeine (C), (-)-epigallocatechin gallate (EGCG), (+)-catechin(Ct), (-)-epicatechin(EC), and (-)-epicatechin gallate (ECG) (collectively named as Tea Powder Bioactives TPBAs) extracted from tea powder using different ratios of ethanol: water. The simultaneous determination of TPBAs was performed using the UV spectrophotometric method which employs the absorbance at 205 nm (λmax of caffeine and polyphenols). This method is a gradient based HPLC method with a flow rate of 0.8 mL/min using Inertsil ODS 100 × 4.6 mm, 3 μm column with methanol and ammonium dihydrogen phosphate (pH-2.8) as mobile phase. The method was validated in terms of specificity, precision, linearity, accuracy, limit of quantification (LOQ), and limit of detection (LOD). The linearity of the proposed method was investigated for concentration ranging between 0.5-60 μg/mL with regression co-efficient, R(2) = 0.999-1.0. This method estimates all the TPBAs simultaneously with enhanced precision and linearity as per the ICH guidelines. Also, to confirm the individual TPBA, the antioxidant property of the each TPBA was analyzed which was commensurate with that of the previous reports. PMID:27407191

  16. Multi-Frequency Polarimetric SAR Classification Based on Riemannian Manifold and Simultaneous Sparse Representation

    Directory of Open Access Journals (Sweden)

    Fan Yang

    2015-07-01

    Full Text Available Normally, polarimetric SAR classification is a high-dimensional nonlinear mapping problem. In the realm of pattern recognition, sparse representation is a very efficacious and powerful approach. As classical descriptors of polarimetric SAR, covariance and coherency matrices are Hermitian semidefinite and form a Riemannian manifold. Conventional Euclidean metrics are not suitable for a Riemannian manifold, and hence, normal sparse representation classification cannot be applied to polarimetric SAR directly. This paper proposes a new land cover classification approach for polarimetric SAR. There are two principal novelties in this paper. First, a Stein kernel on a Riemannian manifold instead of Euclidean metrics, combined with sparse representation, is employed for polarimetric SAR land cover classification. This approach is named Stein-sparse representation-based classification (SRC. Second, using simultaneous sparse representation and reasonable assumptions of the correlation of representation among different frequency bands, Stein-SRC is generalized to simultaneous Stein-SRC for multi-frequency polarimetric SAR classification. These classifiers are assessed using polarimetric SAR images from the Airborne Synthetic Aperture Radar (AIRSAR sensor of the Jet Propulsion Laboratory (JPL and the Electromagnetics Institute Synthetic Aperture Radar (EMISAR sensor of the Technical University of Denmark (DTU. Experiments on single-band and multi-band data both show that these approaches acquire more accurate classification results in comparison to many conventional and advanced classifiers.

  17. Simultaneous allocation of distributed resources using improved teaching learning based optimization

    International Nuclear Information System (INIS)

    Highlights: • Simultaneous allocation of distributed energy resources in distribution networks. • Annual energy loss reduction is optimized using a multi-level load profile. • A new penalty factor approach is suggested to check node voltage deviations. • An improved TLBO is proposed by suggesting several modifications in standard TLBO. • An intelligent search is proposed to enhance the performance of solution technique. - Abstract: Active and reactive power flow in distribution networks can be effectively controlled by optimally placing distributed resources like shunt capacitors and distributed generators. This paper presents improved variant of Teaching Learning Based Optimization (TLBO) to efficiently and effectively deal with the problem of simultaneous allocation of these distributed resources in radial distribution networks while considering multi-level load scenario. Several algorithm specific modifications are suggested in the standard form of TLBO to cope against the intrinsic flaws of this technique. In addition, an intelligent search approach is proposed to restrict the problem search space without loss of diversity. This enhances the overall performance of the proposed method. The proposed method is investigated on IEEE 33-bus, 69-bus and 83-bus test distribution systems showing promising results

  18. Penning plasma based simultaneous light emission source of visible and VUV lights

    Science.gov (United States)

    Vyas, G. L.; Prakash, R.; Pal, U. N.; Manchanda, R.; Halder, N.

    2016-06-01

    In this paper, a laboratory-based penning plasma discharge source is reported which has been developed in two anode configurations and is able to produce visible and VUV lights simultaneously. The developed source has simultaneous diagnostics facility using Langmuir probe and optical emission spectroscopy. The two anode configurations, namely, double ring and rectangular configurations, have been studied and compared for optimum use of the geometry for efficient light emissions and recording. The plasma is produced using helium gas and admixture of three noble gases including helium, neon, and argon. The source is capable to produce eight spectral lines for pure helium in the VUV range from 20 to 60 nm and total 24 spectral lines covering the wavelength range 20-106 nm for the admixture of gases. The large range of VUV lines is generated from gaseous admixture rather from the sputtered materials. The recorded spectrum shows that the plasma light radiations in both visible and VUV range are larger in double ring configuration than that of the rectangular configurations at the same discharge operating conditions. To clearly understand the difference, the imaging of the discharge using ICCD camera and particle-in-cell simulation using VORPAL have also been carried out. The effect of ion diffusion, metastable collision with the anode wall and the nonlinear effects are correlated to explain the results.

  19. Simultaneous measurement of particle velocity and size based on gray difference and autocorrelation

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

    The gray of two images of a same particle taken by a digital camera with different exposure times is different too. Based on the gray difference of particle images in a double-exposed photo and autocorrelation processing of digital images,this paper proposes a method for measuring particle velocities and sizes simultaneously. This paper also introduces the theoretical foundation of this method,the process of particle imaging and image processing,and the simultaneous measurement of velocity and size of a low speed flow field with 35 μm and 75 μm standard particles. The graphical measurement results can really reflect the flow characteristics of the flow field. In addition,although the measured velocity and size histograms of these two kinds of standard particles are slightly wider than the theoretical ones,they are all still similar to the normal distribution,and the peak velocities and diameters of the histograms are consistent with the default values. Therefore,this measurement method is capable of providing moderate measurement accuracy,and it can be further developed for high-speed flow field measurements.

  20. Service oriented architecture assessment based on software components

    Directory of Open Access Journals (Sweden)

    Mahnaz Amirpour

    2016-01-01

    Full Text Available Enterprise architecture, with detailed descriptions of the functions of information technology in the organization, tries to reduce the complexity of technology applications resulting in tools with greater efficiency in achieving the objectives of the organization. Enterprise architecture consists of a set of models describing this technology in different components performance as well as various aspects of the applications in any organization. Therefore, information technology development and maintenance management can perform well within organizations. This study aims to suggest a method to identify different types of services in service-oriented architecture analysis step that applies some previous approaches in an integrated form and, based on the principles of software engineering, to provide a simpler and more transparent approach through the expression of analysis details. Advantages and disadvantages of proposals should be evaluated before the implementation and costs allocation. Evaluation methods can better identify strengths and weaknesses of the current situation apart from selecting appropriate model out of several suggestions, and clarify this technology development solution for organizations in the future. We will be able to simulate data and processes flow within the organization by converting the output of the model to colored Petri nets and evaluate and test it by examining various inputs to enterprise architecture before implemented in terms of reliability and response time. A model of application has been studied for the proposed model and the results can describe and design architecture for data.

  1. Wringing out objects for programming and modeling component-based systems

    OpenAIRE

    Spacek, Petr; Dony, Christophe; Tibermacine, Chouki; Fabresse, Luc

    2013-01-01

    International audience Languages and technologies used to implement component-based software are not component-based, i.e. while the design phase happens in the component world, the programming phase occurs in the object-oriented world. When an object-oriented language is used for the programming stage, then the original component-based design vanish, because component concepts like requirements and architectures are not treated explicitly. This makes it difficult to keep model and its imp...

  2. Fast Monte Carlo based joint iterative reconstruction for simultaneous 99mTc/ 123I SPECT imaging.

    Science.gov (United States)

    Ouyang, Jinsong; El Fakhri, Georges; Moore, Stephen C

    2007-08-01

    Simultaneous 99mTC/ 123I SPECT allows the assessment of two physiological functions under identical conditions. The separation of these radionuclides is difficult, however, because their energies are close. Most energy-window-based scatter correction methods do not fully model either physical factors or patient-specific activity and attenuation distributions. We have developed a fast Monte Carlo (MC) simulation-based multiple-radionuclide and multiple-energy joint ordered-subset expectation-maximization (JOSEM) iterative reconstruction algorithm, MC-JOSEM. MC-JOSEM simultaneously corrects for scatter and cross talk as well as detector response within the reconstruction algorithm. We evaluated MC-JOSEM for simultaneous brain profusion (99mTc-HMPAO) and neurotransmission (123I-altropane) SPECT. MC simulations of 99mTc and 123I studies were generated separately and then combined to mimic simultaneous 99mTc/ 123I SPECT. All the details of photon transport through the brain, the collimator, and detector, including Compton and coherent scatter, septal penetration, and backscatter from components behind the crystal, were modeled. We reconstructed images from simultaneous dual-radionuclide projections in three ways. First, we reconstructed the photopeak-energy-window projections (with an asymmetric energy window for 1231) using the standard ordered-subsets expectation-maximization algorithm (NSC-OSEM). Second, we used standard OSEM to reconstruct 99mTc photopeak-energy-window projections, while including an estimate of scatter from a Compton-scatter energy window (SC-OSEM). Third, we jointly reconstructed both 99mTc and 123I images using projection data associated with two photo-peak energy windows and an intermediate-energy window using MC-JOSEM. For 15 iterations of reconstruction, the bias and standard deviation of 99mTc activity estimates in several brain structures were calculated for NSC-OSEM, SC-OSEM, and MC-JOSEM, using images reconstructed from primary

  3. Component Based Development - Where is the Place for Formalism?

    DEFF Research Database (Denmark)

    Makowski, Piotr; Ravn, Anders Peter

    2003-01-01

    A software component has a contract that specifies its properties and thus define conditions for its use. The contract is an obvious object for formalization. It could assist in conformance checking for manufactured components and in checking consistent use of them in a concrete system. However, ...

  4. Knowledge-based System Prototype in Structural Component Design Based on FM

    Institute of Scientific and Technical Information of China (English)

    JIANG Tao; LI Qing-fen; LI Ming; FU Wei

    2002-01-01

    A knowledge-based system in structural component design based on fracture mechanics is developed in this paper. The system consists of several functional parts: a general inference engine, a set of knowledge bases and data-bases, an interpretation engine, a bases administration system and the interface. It can simulate a human expert to make analysis and design scheme mainly for four kinds of typical structural components widely used in shipbuilding industry: pressure vessels, huge rotation constructions, pump-rod and welded structures. It is an open system which may be broadened and perfected to cover a wider range of engineering application through the modification and enlargement of knowledge bases and data-bases. It has a natural and friendly interface that may be easily operated. An on-line help service is also provided.

  5. Development and Validation of an UHPLC-QqQ-MS Technique for Simultaneous Determination of Ten Bioactive Components in Fangji Huangqi Tang

    Science.gov (United States)

    Wang, Xiaoli; Liu, Xiao; Zhu, Tingting; Cai, Baochang

    2016-01-01

    The aim of this study is to develop an ultrahigh performance liquid chromatography method coupled with triple quadrupole mass spectrometry for simultaneous determination of tetrandrine, fangchinoline, atractylenolide I, atractylenolide III, calycosin-7-O-β-D-glucoside, glycyrrhizin, liquiritin, isoliquiritin, liquiritigenin, and isoliquiritigenin in Fangji Huangqi Tang (FHT). The chromatographic separation was performed on a reversed-C18 column, eluted with a mixture of 0.1% acetic acid and acetonitrile at 0.4 mL/min. The separation of these ten compounds was achieved by linear gradient elution. The method was strictly validated with respect to specificity, precision, accuracy, and repeatability. All the compounds showed good linearities (r ≥ 0.999). The LOQs of the ten components were 0.36, 0.18, 0.09, 0.43, 0.02, 1.89, 0.26, 0.18, 0.61, and 0.48 ng/mL for tetrandrine, fangchinoline, atractylenolide I, atractylenolide III, calycosin-7-O-β-D-glucoside, glycyrrhizin, liquiritin, isoliquiritin, liquiritigenin, and isoliquiritigenin, respectively. The LODs of the ten components were 0.11, 0.05, 0.03, 0.13, 0.01, 0.57, 0.08, 0.05, 0.18, and 0.14 ng/mL for tetrandrine, fangchinoline, atractylenolide I, atractylenolide III, calycosin-7-O-β-D-glucoside, glycyrrhizin, liquiritin, isoliquiritin, liquiritigenin, and isoliquiritigenin, respectively. The method was proven to be specific and reliable, which would provide a meaningful basis for the quality control and evaluation of FHT during its clinical application. PMID:27313950

  6. Rapid and simultaneous determination of five vinca alkaloids in Catharanthus roseus and human serum using trilinear component modeling of liquid chromatography-diode array detection data.

    Science.gov (United States)

    Liu, Zhi; Wu, Hai-Long; Li, Yong; Gu, Hui-Wen; Yin, Xiao-Li; Xie, Li-Xia; Yu, Ru-Qin

    2016-07-15

    A novel chemometrics-assisted high performance liquid chromatography method coupled with diode array detector (HPLC-DAD) was proposed for the simultaneous determination of vincristine (VCR), vinblastine (VLB), vindoline (VDL), catharanthine (CAT) and yohimbine (YHB) in Catharanthus roseus (C. roseus) and human serum samples. With the second-order advantage of the alternating trilinear decomposition (ATLD) method, the resolution and rapid determination of five components of interest in complex matrices were performed, even in the present of heavy overlaps and unknown interferences. Therefore, multi-step purification was omitted and five components could be fast eluted out within 7.5min under simple isocratic elution condition (acetonitrile/0.2% formic acid water, 37:63, v/v). Statistical parameters, such as the linear correlation coefficient (R(2)), root-mean-square error of prediction (RMSEP), limit of detection (LOD) and limit of quantitation (LOQ) had been calculated to investigate the accuracy and reliability of the method. The average recoveries of five vinca alkaloids ranged from 97.1% to 101.9% and 98.8% to 103.0% in C. roseus and human serum samples, respectively. The five vinca alkaloids were adequately determined with limits of detection (LODs) of 29.5-49.3ngmL(-1) in C. roseus and 12.4-27.2ngmL(-1) in human serum samples, respectively. The obtained results demonstrated that the analytical strategy provided a feasible alternative for synchronously monitoring the quality of raw herb and the concentration of blood drugs. PMID:26321366

  7. Simultaneous analysis of skin penetration of surfactant and active drug from fluorosurfactant-based microemulsions.

    Science.gov (United States)

    Mahrhauser, Denise; Hoppel, Magdalena; Schöll, Judith; Binder, Lisa; Kählig, Hanspeter; Valenta, Claudia

    2014-09-01

    The purpose of this study was to investigate the penetrated amount of the incorporated model drug diclofenac-sodium and of a fluorosurfactant as specific vehicle constituent of topically applied microemulsions at the same time. To this end, the penetration depth of each compound was elucidated through tape stripping studies by the simultaneous quantification of diclofenac-sodium and the fluorosurfactant from the same sample. A new approach was made by using the very sensitive and specific (19)F NMR (nuclear magnetic resonance) for quantification of the fluorinated vehicle component. The tape stripping experiments with the microemulsions showed an almost similar penetration velocity of diclofenac-sodium and fluorosurfactant, suggesting that the surfactant within the microemulsion-structure intensified the stratum corneum uptake of the incorporated active constituent. Moreover, ATR-FTIR studies on porcine ear skin revealed significant shifts of the CH₂ stretching absorbances, which are associated with an enhanced disorder of the SC lipids resulting in a decreased skin barrier function, after application of the microemulsions. However, the application of pure fluorosurfactant did not cause any shifts in the CH₂ stretching absorbances. It can be thereby concluded that the prepared microemulsions exerted specific effects on skin integrity resulting in a "push" of diclofenac-sodium penetration. PMID:24892508

  8. Simultaneous image compression, fusion and encryption algorithm based on compressive sensing and chaos

    Science.gov (United States)

    Liu, Xingbin; Mei, Wenbo; Du, Huiqian

    2016-05-01

    In this paper, a novel approach based on compressive sensing and chaos is proposed for simultaneously compressing, fusing and encrypting multi-modal images. The sparsely represented source images are firstly measured with the key-controlled pseudo-random measurement matrix constructed using logistic map, which reduces the data to be processed and realizes the initial encryption. Then the obtained measurements are fused by the proposed adaptive weighted fusion rule. The fused measurement is further encrypted into the ciphertext through an iterative procedure including improved random pixel exchanging technique and fractional Fourier transform. The fused image can be reconstructed by decrypting the ciphertext and using a recovery algorithm. The proposed algorithm not only reduces data volume but also simplifies keys, which improves the efficiency of transmitting data and distributing keys. Numerical results demonstrate the feasibility and security of the proposed scheme.

  9. Calibration and stability of a SiPM-based simultaneous PET/MR insert

    International Nuclear Information System (INIS)

    On behalf of the HYPER Image project, a Silicon photomultiplier (SiPM) based preclinical PET insert for a commercial human 3 T MRI scanner was built. In this contribution we report on the stability of imaging performance of the PET scanner and MR hardness and compatibility. From data sets that were acquired during the last 7 months we extracted SiPM gain values and their annual drift, the mean energy resolution and the energy resolution drift, spatial resolution and spatial resolution drift, and photo peak position and their annual drift. Further, a point source and a hot rod phantom was imaged fully simultaneously with the MRI scanner and the PET scanner. No interference between either modality was observed

  10. Calibration and stability of a SiPM-based simultaneous PET/MR insert

    Energy Technology Data Exchange (ETDEWEB)

    Lerche, Christoph W., E-mail: christoph.lerche@philips.com [Philips Research, Europe, Eindhoven (Netherlands); Mackewn, Jane [Kings College London (United Kingdom); Goldschmidt, Benjamin [Philips Research, Europe, Eindhoven (Netherlands); RWTH University Aachen (Germany); Salomon, Andre; Gebbhardt, Pierre; Weissler, Bjoern; Ayres, Richard [Philips Research, Europe Eindhoven (Netherlands); Kings College London (United Kingdom); Marsden, Paul [Kings College London (United Kingdom); Schulz, Volkmar [Philips Research, Europe, Eindhoven (Netherlands); RWTH University Aachen (Germany)

    2013-02-21

    On behalf of the HYPER Image project, a Silicon photomultiplier (SiPM) based preclinical PET insert for a commercial human 3 T MRI scanner was built. In this contribution we report on the stability of imaging performance of the PET scanner and MR hardness and compatibility. From data sets that were acquired during the last 7 months we extracted SiPM gain values and their annual drift, the mean energy resolution and the energy resolution drift, spatial resolution and spatial resolution drift, and photo peak position and their annual drift. Further, a point source and a hot rod phantom was imaged fully simultaneously with the MRI scanner and the PET scanner. No interference between either modality was observed.

  11. Nickel oxide nanoparticle-based method for simultaneous harvesting and disruption of microalgal cells.

    Science.gov (United States)

    Huang, Wen-Can; Kim, Jong-Duk

    2016-10-01

    Microalgae biodiesel is considered one of the most promising renewable fuels. However, the high cost of the downstream process is a major barrier to large-scale microalgal lipid production. In this study, a novel approach based on nickel oxide nanoparticles (NiO NPs) was developed and its effectiveness for simultaneous harvesting and cell disruption in microalgal lipid production was determined. NiO NPs exhibited a microalgal harvesting efficiency of 98.75% in 1min at pH 7. Moreover, after treating with NiO NPs for 96h, the lipid extraction efficiency of microalgae (with 80% water content) reached 91.08% and was 208.37% compared to that without NiO treatment. This approach is simple and does not necessitate drying; furthermore, no equipment with high energy consumption was required. PMID:27481468

  12. A Tunable Acousto-Optic Fiber Filter Based on Two Simultaneous Mode Coupling Processes

    Institute of Scientific and Technical Information of China (English)

    MIAO Ren; ZHANG Wei; FENG Xue; ZHAO Jian-Hui; LIU Xiao-Ming

    2009-01-01

    A dynamically tunable fiber filter realizing complex spectra of phase-shifted long period fiber gratings (LPFGs)is proposed and demonstrated experimentally. The principle of the filter is based on two acousto-optic coupling processes occurring simultaneously. The first coupling process acts as a normal LPFG, while the second makes the coupling direction of the first process change continuously, leading to a similar transmission spectrum with the phase-shifted LPFGs, in which the changing of coupling direction is realized by the discrete phase shifts of the index modulation. By adjusting the acoustic drive signals, its transmission spectrum can be dynamically tuned to realize the phase-shifted LPFGs' spectra under different phase shift numbers and locations.

  13. The global classroom model simultaneous campus- and home-based education using videoconferencing

    DEFF Research Database (Denmark)

    Weitze, Charlotte Lærke; Ørngreen, Rikke

    2014-01-01

    This paper presents and discusses findings about how students, teachers, and the organization experience a start-up-project applying videoconferences between campus and home. This is new territory for adult learning centers. The research is based on the Global Classroom Model as it is implemented...... are present on campus in the classroom, while other students are participating simultaneously from their home using laptops. In this paper, the case and context of VUC Storstrøm, the research design chosen, and the literature that already exists in this area constitutes the backdrop for the analysis...... students are happy with the flexibility this model provides in their everyday life. However, findings also show several obstacles: Technical issues are at play, but also the learning design of the lessons, as well as general organizational and cultural issues. In this paper we focus on the students and...

  14. Simultaneous inversion of petrophysical parameters based on geostatistical a priori information

    Institute of Scientific and Technical Information of China (English)

    Yin Xing-Yao; Sun Rui-Ying; Wang Bao-Li; Zhang Guang-Zhi

    2014-01-01

    The high-resolution nonlinear simultaneous inversion of petrophysical parameters is based on Bayesian statistics and combines petrophysics with geostatistical a priori information. We used the fast Fourier transform-moving average (FFT-MA) and gradual deformation method (GDM) to obtain a reasonable variogram by using structural analysis and geostatistical a priori information of petrophysical parameters. Subsequently, we constructed the likelihood function according to the statistical petrophysical model. Finally, we used the Metropolis algorithm to sample the posteriori probability density and complete the inversion of the petrophysical parameters. We used the proposed method to process data from an oil fi eld in China and found good match between inversion and real data with high-resolution. In addition, the direct inversion of petrophysical parameters avoids the error accumulation and decreases the uncertainty, and increases the computational effi ciency.

  15. Simultaneous Sterilization With Surface Modification Of Plastic Bottle By Plasma-Based Ion Implantation

    Science.gov (United States)

    Sakudo, N.; Ikenaga, N.; Ikeda, F.; Nakayama, Y.; Kishi, Y.; Yajima, Z.

    2011-01-01

    Dry sterilization of polymeric material is developed. The technique utilizes the plasma-based ion implantation which is same as for surface modification of polymers. Experimental data for sterilization are obtained by using spores of Bacillus subtilis as samples. On the other hand we previously showed that the surface modification enhanced the gas barrier characteristics of plastic bottles. Comparing the implantation conditions for the sterilization experiment with those for the surface modification, we find that both sterilization and surface modification are simultaneously performed in a certain range of implantation conditions. This implies that the present bottling system for plastic vessels will be simplified and streamlined by excluding the toxic peroxide water that has been used in the traditional sterilization processes.

  16. PCF-Based Cavity Enhanced Spectroscopic Sensors for Simultaneous Multicomponent Trace Gas Analysis

    Directory of Open Access Journals (Sweden)

    Kamil Stelmaszczyk

    2011-01-01

    Full Text Available A multiwavelength, multicomponent CRDS gas sensor operating on the basis of a compact photonic crystal fibre supercontinuum light source has been constructed. It features a simple design encompassing one radiation source, one cavity and one detection unit (a spectrograph with a fitted ICCD camera that are common for all wavelengths. Multicomponent detection capability of the device is demonstrated by simultaneous measurements of the absorption spectra of molecular oxygen (spin-forbidden b-X branch and water vapor (polyads 4v, 4v + d in ambient atmospheric air. Issues related to multimodal cavity excitation, as well as to obtaining the best signal-to-noise ratio are discussed together with methods for their practical resolution based on operating the cavity in a “quasi continuum” mode and setting long camera gate widths, respectively. A comprehensive review of multiwavelength CRDS techniques is also given.

  17. Simultaneous Ground- and Space-Based Observations of the Plasmaspheric Plume and Reconnection

    Science.gov (United States)

    Walsh, B. M.; Foster, J. C.; Erickson, P. J.; Sibeck, D. G.

    2014-01-01

    Magnetic reconnection is the primary process through which energy couples from the solar wind into Earth's magnetosphere and ionosphere. Conditions both in the incident solar wind and in the magnetosphere are important in determining the efficiency of this energy transfer. In particular, the cold, dense plasmaspheric plume can substantially impact the coupling in the dayside reconnection region. Using ground-based total electron content (TEC) maps and measurements from the THEMIS spacecraft, we investigated simultaneous ionosphere and magnetosphere observations of the plasmaspheric plume and its involvement in an unsteady magnetic reconnection process. The observations show the full circulation pattern of the plasmaspheric plume and validate the connection between signatures of variability in the dense plume and reconnection at the magnetopause as measured in situ and through TEC measurements in the ionosphere.

  18. A Robust MEMS Based Multi-Component Sensor for 3D Borehole Seismic Arrays

    Energy Technology Data Exchange (ETDEWEB)

    Paulsson Geophysical Services

    2008-03-31

    The objective of this project was to develop, prototype and test a robust multi-component sensor that combines both Fiber Optic and MEMS technology for use in a borehole seismic array. The use such FOMEMS based sensors allows a dramatic increase in the number of sensors that can be deployed simultaneously in a borehole seismic array. Therefore, denser sampling of the seismic wave field can be afforded, which in turn allows us to efficiently and adequately sample P-wave as well as S-wave for high-resolution imaging purposes. Design, packaging and integration of the multi-component sensors and deployment system will target maximum operating temperature of 350-400 F and a maximum pressure of 15000-25000 psi, thus allowing operation under conditions encountered in deep gas reservoirs. This project aimed at using existing pieces of deployment technology as well as MEMS and fiber-optic technology. A sensor design and analysis study has been carried out and a laboratory prototype of an interrogator for a robust borehole seismic array system has been assembled and validated.

  19. Multistage principal component analysis based method for abdominal ECG decomposition

    International Nuclear Information System (INIS)

    Reflection of fetal heart electrical activity is present in registered abdominal ECG signals. However this signal component has noticeably less energy than concurrent signals, especially maternal ECG. Therefore traditionally recommended independent component analysis, fails to separate these two ECG signals. Multistage principal component analysis (PCA) is proposed for step-by-step extraction of abdominal ECG signal components. Truncated representation and subsequent subtraction of cardio cycles of maternal ECG are the first steps. The energy of fetal ECG component then becomes comparable or even exceeds energy of other components in the remaining signal. Second stage PCA concentrates energy of the sought signal in one principal component assuring its maximal amplitude regardless to the orientation of the fetus in multilead recordings. Third stage PCA is performed on signal excerpts representing detected fetal heart beats in aim to perform their truncated representation reconstructing their shape for further analysis. The algorithm was tested with PhysioNet Challenge 2013 signals and signals recorded in the Department of Obstetrics and Gynecology, Lithuanian University of Health Sciences. Results of our method in PhysioNet Challenge 2013 on open data set were: average score: 341.503 bpm2 and 32.81 ms. (paper)

  20. Design and Fabrication of SOI-based photonic crystal components

    DEFF Research Database (Denmark)

    Borel, Peter Ingo; Frandsen, Lars Hagedorn; Harpøth, Anders;

    2004-01-01

    We present examples of ultra-compact photonic crystal components realized in silicon-on-insulator material. We have fabricated several different types of photonic crystal waveguide components displaying high transmission features. This includes 60° and 120° bends, different types of couplers......, and splitters. Recently, we have designed and fabricated components with more than 200 nm bandwidths. Design strategies to enhance the performance include systematic variation of design parameters using finite-difference time-domain simulations and inverse design methods such as topology optimization....

  1. Hybrid integrated photonic components based on a polymer platform

    Science.gov (United States)

    Eldada, Louay A.

    2003-06-01

    We report on a polymer-on-silicon optical bench platform that enables the hybrid integration of elemental passive and active optical functions. Planar polymer circuits are produced photolithographically, and slots are formed in them for the insertion of chips and films of a variety of materials. The polymer circuits provide interconnects, static routing elements such as couplers, taps, and multi/demultiplexers, as well as thermo-optically dynamic elements such as switches, variable optical attenuators, and tunable notch filters. Crystal-ion-sliced thin films of lithium niobate are inserted in the polymer circuit for polarization control or for electro-optic modulation. Films of yttrium iron garnet and neodymium iron boron magnets are inserted in order to magneto-optically achieve non-reciprocal operation for isolation and circulation. Indium phosphide and gallium arsenide chips are inserted for light generation, amplification, and detection, as well as wavelength conversion. The functions enabled by this multi-material platform span the range of the building blocks needed in optical circuits, while using the highest-performance material system for each function. We demonstrated complex-functionality photonic components based on this technology, including a metro ring node module and a tunable optical transmitter. The metro ring node chip includes switches, variable optical attenuators, taps, and detectors; it enables optical add/drop multiplexing, power monitoring, and automatic load balancing, and it supports shared and dedicated protection protocols in two-fiber metro ring optical networks. The tunable optical transmitter chip includes a tunable external cavity laser, an isolator, and a high-speed modulator.

  2. Simultaneous carotid PET/MR: feasibility and improvement of magnetic resonance-based attenuation correction.

    Science.gov (United States)

    Bini, Jason; Eldib, Mootaz; Robson, Philip M; Calcagno, Claudia; Fayad, Zahi A

    2016-01-01

    Errors in quantification of carotid positron emission tomography (PET) in simultaneous PET/magnetic resonance (PET/MR) imaging when not incorporating bone in MR-based attenuation correction (MRAC) maps, and possible solutions, remain to be fully explored. In this study, we demonstrated techniques to improve carotid vascular PET/MR quantification by adding a bone tissue compartment to MRAC maps and deriving continuous Dixon-based MRAC (MRACCD) maps. We demonstrated the feasibility of applying ultrashort echo time-based bone segmentation and generation of continuous Dixon MRAC to improve PET quantification on five subjects. We examined four different MRAC maps: system standard PET/MR MRAC map (air, lung, fat, soft tissue) (MRACPET/MR), standard PET/MR MRAC map with bone (air, lung, fat, soft tissue, bone) (MRACPET/MRUTE), MRACCD map (no bone) and continuous Dixon-based MRAC map with bone (MRACCDUTE). The same PET emission data was then reconstructed with each respective MRAC map and a CTAC map (PETPET/MR, PETPET/MRUTE, PETCD, PECDUTE) to assess effects of the different attenuation maps on PET quantification in the carotid arteries and neighboring tissues. Quantitative comparison of MRAC attenuation values for each method compared to CTAC showed small differences in the carotid arteries with UTE-based segmentation of bone included and/or continuous Dixon MRAC; however, there was very good correlation for all methods in the voxel-by-voxel comparison. ROI-based analysis showed a similar trend in the carotid arteries with the lowest correlation to PETCTAC being PETPETMR and the highest correlation to PETCTAC being PETCDUTE. We have demonstrated the feasibility of applying UTE-based segmentation and continuous Dixon MRAC maps to improve carotid PET/MR vascular quantification. PMID:25898892

  3. Grinding Characteristics of Multi-component Cement-based Material

    Institute of Scientific and Technical Information of China (English)

    LU Difen; TAO Longzhong; LI Ning; HU Haipeng

    2005-01-01

    The grinding characteristics of two or multi-component material of clinker with limestone, blast furnace slag and fly ash were studied. Investigation was carried out on the particle size distribution, the Blaine fineness and the sieve residue of the separate and interground products. The relative contents of clinker and limestone in different size fractions of the interground product were examined, and the interaction of two components, which have different grindabilities, was analyzed. The results show there exists a selective grinding effect during intergrinding, one component can help or hinder the grinding of the other. Making good use of this interaction appropriately not only enhances the grindabilities of two or multi-component mixtures, which can promote the grinding process of clinker with industrial wastes, but also improves their particle size distribution and properties.

  4. An Ensemble Algorithm Based Component for Geomagnetic Data Assimilation

    OpenAIRE

    Zhibin Sun and Weijia Kuang

    2015-01-01

    Geomagnetic data assimilation is one of the most recent developments in geomagnetic studies. It combines geodynamo model outputs and surface geomagnetic observations to provide more accurate estimates of the core dynamic state and provide accurate geomagnetic secular variation forecasting. To facilitate geomagnetic data assimilation studies, we develop a stand-alone data assimilation component for the geomagnetic community. This component is used to calculate the forecast error covariance mat...

  5. Reconfigurable Logistics Information System Based on Soft Components Technology

    OpenAIRE

    Feng Liang

    2008-01-01

    Logistics information system should be reconfigurable, open and extensible to support the total supply chain. Soft com-ponent technology is introduced to design and build the logistics information system oriented to the business demand of kinds of supply chains. When the supply chain is changed, logistics information system organizes all kinds of required logistics resources, by recalling predefined soft components to dynamically configure logistics information system, which can ensure quick ...

  6. Communication Patterns as Key Towards Component-Based Robotics

    OpenAIRE

    Christian Schlegel

    2006-01-01

    Vital functions of mobile robots are provided by software and software dominance is still growing. Mastering the software complexity is not only a demanding but also indispensable task towards an operational robot. Nevertheless, well-known and even always needed algorithms are often implemented from scratch over and over again instead of being reused as off-the-shelf components. A major reason is the lack of a framework that allows to compose robotics software out of standardized components w...

  7. Simultaneous detection of Clavibacter michiganensis subsp. nebraskensis and Pantoea stewartii subsp. stewartii based on microsphere immunoreaction.

    Science.gov (United States)

    Zhang, Fan; Li, Jinfeng; Zou, Mingqiang; Chen, Yan; Wang, Yanfei; Qi, Xiaohua

    2013-04-01

    Clavibacter michiganensis subsp. nebraskensis (Cmn) and Pantoea stewartii subsp. stewartii (Pss) are two plant pathogens that can cause tremendous agricultural economic losses. This novel method based on microsphere immunoreaction was developed for the simultaneous detection of Cmn and Pss in maize. This multiplex method was constructed based on microsphere immunodetection with fluorescent labels such as quantum dots (QDs) and R-phycoerythrin (R-PE) for the detection of Cmn and Pss. Captured QDs and R-PE serve as signal reporters for fluorescent readout. The principle of this method is based on a sandwich immunoreaction. Cmn and Pss captured by the microspheres were detected using flow cytometry. The limit of detection of this method was 10 times lower than the enzyme-linked immunosorbent assay (ELISA), and its analysis time (1 h) was much shorter compared with ELISA (6-8 h). The method, which has been proven to be an effective approach to multiplex detection of plant bacteria (Cmn and Pss as models), not only increased the varieties but also improved the sensitivity. The microsphere immunoreaction provides a universal method for the multiplex determination of microbes because of its high sensitivity, specificity, and speed. In the future, the method will be more fully validated in vivo to detect diversiform bacteria. PMID:23169888

  8. Invisible Base Electrode Coordinates Approximation for Simultaneous SPECT and EEG Data Visualization

    Directory of Open Access Journals (Sweden)

    Kowalczyk L.

    2014-04-01

    Full Text Available This work was performed as part of a larger research concerning the feasibility of improving the localization of epileptic foci, as compared to the standard SPECT examination, by applying the technique of EEG mapping. The presented study extends our previous work on the development of a method for superposition of SPECT images and EEG 3D maps when these two examinations are performed simultaneously. Due to the lack of anatomical data in SPECT images it is a much more difficult task than in the case of MRI/EEG study where electrodes are visible in morphological images. Using the appropriate dose of radioisotope we mark five base electrodes to make them visible in the SPECT image and then approximate the coordinates of the remaining electrodes using properties of the 10-20 electrode placement system and the proposed nine-ellipses model. This allows computing a sequence of 3D EEG maps spanning on all electrodes. It happens, however, that not all five base electrodes can be reliably identified in SPECT data. The aim of the current study was to develop a method for determining the coordinates of base electrode(s missing in the SPECT image. The algorithm for coordinates approximation has been developed and was tested on data collected for three subjects with all visible electrodes. To increase the accuracy of the approximation we used head surface models. Freely available model from Oostenveld research based on data from SPM package and our own model based on data from our EEG/SPECT studies were used. For data collected in four cases with one electrode not visible we compared the invisible base electrode coordinates approximation for Oostenveld and our models. The results vary depending on the missing electrode placement, but application of the realistic head model significantly increases the accuracy of the approximation.

  9. Height variation of supergranular velocity fields determined from simultaneous OSO 8 satellite and ground-based observations

    International Nuclear Information System (INIS)

    Simultaneous satellite and ground-based observations of supergranular velocities in the Sun were made using the University of Colorado UV Spectrometer on OSO 8 and the Sacramento Peak Observatory diode array instrument. We compare our observations of the steady Doppler velocities seen toward the limb in the middle chromosphere and the photosphere: the observed Si II lambda1817 and Fe I lambda5576 spectral lines differ in height of formation by about 1400 km.The striking results of these observations are that supergranular motions are able to penetrate at leas 11 density scale heights and that, in doing so, the motion increases from about 800 m s-1 in the photosphere to at least 3000 m s-1 in the middle chromosphere. Further, a distinct change appears to occur in the flow structure: whereas the horizontal component of the velocity predominates in low photosphere, suggesting strong braking of vertical momentum, the motions higher in the atmosphere are more isotropic. These observations imply that supergranular velocities should be evident in the transition region.The strong horizontal shear layers in supergranulation must produce turbulence and internal gravity waves. These smaller scale motions have bearing on chromospheric heating and nonthermal line broadening

  10. Simultaneous Quantitative and Chemical Fingerprint Analysis of Receptaculum Nelumbinis Based on HPLC-DAD-MS Combined with Chemometrics.

    Science.gov (United States)

    Liu, Haitao; Liu, Jiushi; Zhang, Jin; Qi, Yaodong; Jia, Xiaoguang; Zhang, Bengang; Xiao, Peigen

    2016-04-01

    A rapid and sensitive method based on HPLC-DAD-MS was developed for quantitative analysis of two flavonoids and chemical fingerprint analysis to evaluate the quality of Receptaculum Nelumbinis. The analysis was conducted on a Poroshell 120 C18 column (100 × 4.6 mm, 2.7 μm) with 0.2% formic acid buffer solution and methanol as mobile phases with gradient elution. This method displayed good linearity with R(2) at >0.9999 and limits of quantity <0.37 μg mL(-1). Relative standard deviation values for intra- and interday precision were <0.82 and 1.03%, respectively. The mean recovery of hyperoside was 95.54% and of isoquercitrin was 92.10%. Hyperoside and isoquercitrin were determined simultaneously, and 12 peaks in the chemical fingerprint were identified. The chemometric methods, including similarity analysis, hierarchical clustering analysis and principal component analysis, were applied to distinguish 11 batches of Receptaculum Nelumbinis samples. The above results could validate each other and successfully divide these samples into two groups. Moreover, hyperoside and isoquercitrin could be selected as chemical markers to evaluate the quality of Receptaculum Nelumbinis from different localities. This study demonstrated that the developed method was a powerful and beneficial tool to carry out the quality control of Receptaculum Nelumbinis. PMID:26921895

  11. Phase retrieval based on temporal and spatial hybrid matching in simultaneous phase-shifting dual-wavelength interferometry.

    Science.gov (United States)

    Qiu, Xiang; Zhong, Liyun; Xiong, Jiaxiang; Zhou, Yunfei; Tian, Jindong; Li, Dong; Lu, Xiaoxu

    2016-06-13

    In simultaneous phase-shifting dual-wavelength interferometry, by matching both the phase-shifting period number and the fringe number in interferogram of two wavelengths to the integers, the phase with high accuracy can be retrieved through combining the principle component analysis (PCA) and least-squares iterative algorithm (LSIA). First, by using the approximate ratio of two wavelengths, we can match both the temporal phase-shifting period number and the spatial fringe number in interferogram of two wavelengths to the integers. Second, using above temporal and spatial hybrid matching condition, we can achieve accurate phase shifts of single-wavelength of phase-shifting interferograms through using PCA algorithm. Third, using above phase shifts to perform the iterative calculation with the LSIA method, the wrapped phases of single-wavelength can be determined. Both simulation calculation and experimental research demonstrate that by using the temporal and spatial hybrid matching condition, the PCA + LSIA based phase retrieval method possesses significant advantages in accuracy, stability and processing time. PMID:27410297

  12. Simultaneous partial topology and size optimization of a wing structure using ant colony and gradient based methods

    OpenAIRE

    Wang, W.; Guo, Shijun J.; Yang, W.

    2011-01-01

    This article presents a methodology and process for a combined wing configuration partial topology and structure size optimization. It is aimed at achieving a minimum structural weight by optimizing the structure layout and structural component size simultaneously. This design optimization process contains two types of design variables and hence was divided into two sub- problems. One is structure layout topology to obtain an optimal number and location of spars with discret...

  13. Simultaneous quantitative live cell imaging of multiple FRET-based biosensors.

    Directory of Open Access Journals (Sweden)

    Andrew Woehler

    Full Text Available We have developed a novel method for multi-color spectral FRET analysis which is used to study a system of three independent FRET-based molecular sensors composed of the combinations of only three fluorescent proteins. This method is made possible by a novel routine for computing the 3-D excitation/emission spectral fingerprint of FRET from reference measurements of the donor and acceptor alone. By unmixing the 3D spectrum of the FRET sample, the total relative concentrations of the fluorophores and their scaled FRET efficiencies are directly measured, from which apparent FRET efficiencies can be computed. If the FRET sample is composed of intramolecular FRET sensors it is possible to determine the total relative concentration of the sensors and then estimate absolute FRET efficiency of each sensor. Using multiple tandem constructs with fixed FRET efficiency as well as FRET-based calcium sensors with novel fluorescent protein combinations we demonstrate that the computed FRET efficiencies are accurate and changes in these quantities occur without crosstalk. We provide an example of this method's potential by demonstrating simultaneous imaging of spatially colocalized changes in [Ca(2+], [cAMP], and PKA activity.

  14. Comparison of Traditional and Simultaneous IMRT Boost Technique Basing on Therapeutic Gain Calculation

    International Nuclear Information System (INIS)

    Two different radiotherapy techniques, a traditional one (CRT) - based on consecutive decreasing of irradiation fields during treatment, and intensity modulated radiation therapy technique (IMRT) with concomitant boost, deliver different doses to treated volumes, increasing the dose in regions of interest. The fractionation schedule differs depending on the applied technique of irradiation. The aim of this study was to compare different fractionation schedules considering tumor control and normal tissue complications. The analysis of tumor control probability (TCP) and normal tissue complication probability (NTCP) were based on the linear quadratic (LQ) model of biologically equivalent dose. A therapeutic gain (TG) formula that combines NTCP and TCP for selected irradiated volumes was introduced to compare CRT and simultaneous boost (SIB) methods. TG refers to the different doses per fraction, overall treatment time (OTT), and selected biological factors such as tumor cell and repopulation time. Therapeutic gain increases with the dose per fraction and reaches the maximum for the doses at about 3 Gy. Further increase in dose per fraction results in decrease of TG, mainly because of the escalation of NTCP. The presented TG formula allows the optimization of radiotherapy planning by comparing different treatment plans for individual patients and by selecting optimal fraction dose

  15. Multi-frequency simultaneous measurement of bioimpedance spectroscopy based on a low crest factor multisine excitation

    International Nuclear Information System (INIS)

    Bioimpedance spectroscopy (BIS) is becoming a powerful diagnostic tool for a wide variety of medical applications, and the multi-frequency simultaneous (MFS) measurement of BIS can greatly reduce measurement time and record the transient physiological status of a living body compared with traditional frequency-sweep measurement technology. This paper adopts the Van der Ouderaa’s multisine, which has 31 equidistant and flat amplitude spectra and a low crest factor of 1.405 as the broadband excitation, and realizes the MFS measurement of BIS by means of spectral analysis using the fast Fourier transform algorithm. The approach to implement the multisine based on a field-programmable gate array and a digital to analog converter is described in detail, and impedance measurement experiments are performed on three resistance-capitance three-element phantoms. Experimental results show a commendable accuracy with a mean relative error of 0.55% for the impedance amplitudes, and a mean absolute error of 0.20° for the impedance phases on the 31 frequencies ranging linearly from 32 to 992 kHz. This paper validates the feasibility of the MFS technology for BIS measurement based on the multisine excitation. (paper)

  16. Multi-frequency simultaneous measurement of bioimpedance spectroscopy based on a low crest factor multisine excitation.

    Science.gov (United States)

    Yang, Yuxiang; Zhang, Fu; Tao, Kun; Wang, Lianhuan; Wen, He; Teng, Zhaosheng

    2015-03-01

    Bioimpedance spectroscopy (BIS) is becoming a powerful diagnostic tool for a wide variety of medical applications, and the multi-frequency simultaneous (MFS) measurement of BIS can greatly reduce measurement time and record the transient physiological status of a living body compared with traditional frequency-sweep measurement technology. This paper adopts the Van der Ouderaa's multisine, which has 31 equidistant and flat amplitude spectra and a low crest factor of 1.405 as the broadband excitation, and realizes the MFS measurement of BIS by means of spectral analysis using the fast Fourier transform algorithm. The approach to implement the multisine based on a field-programmable gate array and a digital to analog converter is described in detail, and impedance measurement experiments are performed on three resistance-capitance three-element phantoms. Experimental results show a commendable accuracy with a mean relative error of 0.55% for the impedance amplitudes, and a mean absolute error of 0.20° for the impedance phases on the 31 frequencies ranging linearly from 32 to 992 kHz. This paper validates the feasibility of the MFS technology for BIS measurement based on the multisine excitation. PMID:25679488

  17. Ionic liquids based simultaneous ultrasonic and microwave assisted extraction of phenolic compounds from burdock leaves

    International Nuclear Information System (INIS)

    The ionic liquids based simultaneous ultrasonic and microwave assisted extraction (IL-UMAE) technique was first proposed and applied to isolate compounds. The ionic liquids comprising a range of four anions, five 1-alkyl-3-methylimidazolium derivatives were designed and prepared. The results suggested that varying the anion and cation both had apparent effects on the extraction of phenolics. The results also showed that irradiation power, time and solid–liquid ratio significantly affected the yields. The yields of caffeic acid and quercetin obtained by IL-UMAE were higher than those by regular UMAE. Compared with conventional heat-reflux extraction (HRE), the proposed approach exhibited higher efficiency (8–17% enhanced) and shorter extraction time (from 5 h to 30 s). The results indicated ILUMAE to be a fast and efficient extraction technique. Moreover, the proposed method was validated by the reproducibility and recovery experiments. The ILUMAE method provided good recoveries (from 96.1% to 105.3%) with RSD lower than 5.2%, which indicated that the proposed method was credible. Based on the designable nature of ionic liquids, and the rapid and highly efficient performance of the proposed approach, ILUMAE provided a new alternative for preparation of various useful substances from solid samples.

  18. Technological Alternatives to Paper-Based Components of Team-Based Learning

    Science.gov (United States)

    Robinson, Daniel H.; Walker, Joshua D.

    2008-01-01

    The authors have been using components of team-based learning (TBL) in two undergraduate courses at the University of Texas for several years: an educational psychology survey course--Cognition, Human Learning and Motivation--and Introduction to Statistics. In this chapter, they describe how they used technology in classes of fifty to seventy…

  19. Bead-based suspension array for simultaneous differential detection of five major swine viruses.

    Science.gov (United States)

    Chen, Ru; Yu, Xiao-Lu; Gao, Xiao-Bo; Xue, Cun-Yi; Song, Chang-Xu; Li, Yan; Cao, Yong-Chang

    2015-01-01

    A novel multiplex detection array based on Luminex xMAP technology was developed and validated for simultaneous detection of five major viruses causing swine reproductive diseases. By combining one-step asymmetric multiplex reverse transcription polymerase chain reaction (RT-PCR) with xMAP bead-based hybridization and flow cytometry analysis, the resulting multiplex assay was capable of detecting single and mixed infections of PRRSV, PCV-2, PRV, CSFV, and PPV in a single reaction. The assay accurately detected and differentiated 23 viral strains used in this study. The low detection limit was determined as 2.2-22 copies/μL (corresponding to 0.5-6.8 fg/μL DNA template) on plasmid constructs containing viral fragments. The intra-assay and inter-assay variances (CV%) were low that ranged from 2.5 to 5.4 % and 4.1 to 7.6 %, respectively. The assay was applied to test field samples and detected single and mixed viral infections. The detection rate was higher than that of uniplex conventional PCR and RT-PCR methods. The detection of PRRSV by the bead-based multiplex assay was comparable with a commercially available real time RT-PCR kit. The test procedure on purified DNA or RNA samples could be completed within 2 h. In conclusion, the bead-based suspension array presented here proved to be a high-throughput practical tool that provided highly specific and sensitive identification of single and multiple infections of five major viruses in pigs and boar semen. PMID:25557628

  20. High Accuracy Passive Magnetic Field-Based Localization for Feedback Control Using Principal Component Analysis

    Directory of Open Access Journals (Sweden)

    Shaohui Foong

    2016-08-01

    Full Text Available In this paper, a novel magnetic field-based sensing system employing statistically optimized concurrent multiple sensor outputs for precise field-position association and localization is presented. This method capitalizes on the independence between simultaneous spatial field measurements at multiple locations to induce unique correspondences between field and position. This single-source-multi-sensor configuration is able to achieve accurate and precise localization and tracking of translational motion without contact over large travel distances for feedback control. Principal component analysis (PCA is used as a pseudo-linear filter to optimally reduce the dimensions of the multi-sensor output space for computationally efficient field-position mapping with artificial neural networks (ANNs. Numerical simulations are employed to investigate the effects of geometric parameters and Gaussian noise corruption on PCA assisted ANN mapping performance. Using a 9-sensor network, the sensing accuracy and closed-loop tracking performance of the proposed optimal field-based sensing system is experimentally evaluated on a linear actuator with a significantly more expensive optical encoder as a comparison.

  1. High Accuracy Passive Magnetic Field-Based Localization for Feedback Control Using Principal Component Analysis.

    Science.gov (United States)

    Foong, Shaohui; Sun, Zhenglong

    2016-01-01

    In this paper, a novel magnetic field-based sensing system employing statistically optimized concurrent multiple sensor outputs for precise field-position association and localization is presented. This method capitalizes on the independence between simultaneous spatial field measurements at multiple locations to induce unique correspondences between field and position. This single-source-multi-sensor configuration is able to achieve accurate and precise localization and tracking of translational motion without contact over large travel distances for feedback control. Principal component analysis (PCA) is used as a pseudo-linear filter to optimally reduce the dimensions of the multi-sensor output space for computationally efficient field-position mapping with artificial neural networks (ANNs). Numerical simulations are employed to investigate the effects of geometric parameters and Gaussian noise corruption on PCA assisted ANN mapping performance. Using a 9-sensor network, the sensing accuracy and closed-loop tracking performance of the proposed optimal field-based sensing system is experimentally evaluated on a linear actuator with a significantly more expensive optical encoder as a comparison. PMID:27529253

  2. Industrial Component-based Sample Mobile Robot System

    Directory of Open Access Journals (Sweden)

    Péter Kucsera

    2007-12-01

    Full Text Available The mobile robot development can be done in two different ways. The first is tobuild up an embedded system, the second is to use ‘ready to use’ industrial components.With the spread of Industrial mobile robots there are more and more components on themarket which can be used to build up a whole control and sensor system of a mobile robotplatform. Using these components electrical hardware development is not needed, whichspeeds up the development time and decreases the cost. Using a PLC on board, ‘only’constructing the program is needed and the developer can concentrate on the algorithms,not on developing hardware. My idea is to solve the problem of mobile robot localizationand obstacle avoidance using industrial components and concentrate this topic to themobile robot docking. In factories, mobile robots can be used to deliver parts from oneplace to another, but there are always two critical points. The robot has to be able tooperate in human environment, and also reach the target and get to a predefined positionwhere another system can load it or get the delivered product. I would like to construct amechanically simple robot model, which can calculate its position from the rotation of itswheels, and when it reaches a predefined location with the aid of an image processingsystem it can dock to an electrical connector. If the robot succeeded it could charge itsbatteries through this connector as well.

  3. Component-based analysis of embedded control applications

    DEFF Research Database (Denmark)

    Angelov, Christo K.; Guan, Wei; Marian, Nicolae;

    2011-01-01

    The widespread use of embedded systems requires the creation of industrial software technology that will make it possible to engineer systems being correct by construction. That can be achieved through the use of validated (trusted) components, verification of design models, and automatic configu...

  4. A Robust Approach for a Filter-Based Monocular Simultaneous Localization and Mapping (SLAM System

    Directory of Open Access Journals (Sweden)

    Antoni Grau

    2013-07-01

    Full Text Available Simultaneous localization and mapping (SLAM is an important problem to solve in robotics theory in order to build truly autonomous mobile robots. This work presents a novel method for implementing a SLAM system based on a single camera sensor. The SLAM with a single camera, or monocular SLAM, is probably one of the most complex SLAM variants. In this case, a single camera, which is freely moving through its environment, represents the sole sensor input to the system. The sensors have a large impact on the algorithm used for SLAM. Cameras are used more frequently, because they provide a lot of information and are well adapted for embedded systems: they are light, cheap and power-saving. Nevertheless, and unlike range sensors, which provide range and angular information, a camera is a projective sensor providing only angular measurements of image features. Therefore, depth information (range cannot be obtained in a single step. In this case, special techniques for feature system-initialization are needed in order to enable the use of angular sensors (as cameras in SLAM systems. The main contribution of this work is to present a novel and robust scheme for incorporating and measuring visual features in filtering-based monocular SLAM systems. The proposed method is based in a two-step technique, which is intended to exploit all the information available in angular measurements. Unlike previous schemes, the values of parameters used by the initialization technique are derived directly from the sensor characteristics, thus simplifying the tuning of the system. The experimental results show that the proposed method surpasses the performance of previous schemes.

  5. A robust approach for a filter-based monocular simultaneous localization and mapping (SLAM) system.

    Science.gov (United States)

    Munguía, Rodrigo; Castillo-Toledo, Bernardino; Grau, Antoni

    2013-01-01

    Simultaneous localization and mapping (SLAM) is an important problem to solve in robotics theory in order to build truly autonomous mobile robots. This work presents a novel method for implementing a SLAM system based on a single camera sensor. The SLAM with a single camera, or monocular SLAM, is probably one of the most complex SLAM variants. In this case, a single camera, which is freely moving through its environment, represents the sole sensor input to the system. The sensors have a large impact on the algorithm used for SLAM. Cameras are used more frequently, because they provide a lot of information and are well adapted for embedded systems: they are light, cheap and power-saving. Nevertheless, and unlike range sensors, which provide range and angular information, a camera is a projective sensor providing only angular measurements of image features. Therefore, depth information (range) cannot be obtained in a single step. In this case, special techniques for feature system-initialization are needed in order to enable the use of angular sensors (as cameras) in SLAM systems. The main contribution of this work is to present a novel and robust scheme for incorporating and measuring visual features in filtering-based monocular SLAM systems. The proposed method is based in a two-step technique, which is intended to exploit all the information available in angular measurements. Unlike previous schemes, the values of parameters used by the initialization technique are derived directly from the sensor characteristics, thus simplifying the tuning of the system. The experimental results show that the proposed method surpasses the performance of previous schemes. PMID:23823972

  6. A Framework for Final Drive Simultaneous Failure Diagnosis Based on Fuzzy Entropy and Sparse Bayesian Extreme Learning Machine

    Directory of Open Access Journals (Sweden)

    Qing Ye

    2015-01-01

    Full Text Available This research proposes a novel framework of final drive simultaneous failure diagnosis containing feature extraction, training paired diagnostic models, generating decision threshold, and recognizing simultaneous failure modes. In feature extraction module, adopt wavelet package transform and fuzzy entropy to reduce noise interference and extract representative features of failure mode. Use single failure sample to construct probability classifiers based on paired sparse Bayesian extreme learning machine which is trained only by single failure modes and have high generalization and sparsity of sparse Bayesian learning approach. To generate optimal decision threshold which can convert probability output obtained from classifiers into final simultaneous failure modes, this research proposes using samples containing both single and simultaneous failure modes and Grid search method which is superior to traditional techniques in global optimization. Compared with other frequently used diagnostic approaches based on support vector machine and probability neural networks, experiment results based on F1-measure value verify that the diagnostic accuracy and efficiency of the proposed framework which are crucial for simultaneous failure diagnosis are superior to the existing approach.

  7. A Component-based Programming Model for Composite, Distributed Applications

    Science.gov (United States)

    Eidson, Thomas M.; Bushnell, Dennis M. (Technical Monitor)

    2001-01-01

    The nature of scientific programming is evolving to larger, composite applications that are composed of smaller element applications. These composite applications are more frequently being targeted for distributed, heterogeneous networks of computers. They are most likely programmed by a group of developers. Software component technology and computational frameworks are being proposed and developed to meet the programming requirements of these new applications. Historically, programming systems have had a hard time being accepted by the scientific programming community. In this paper, a programming model is outlined that attempts to organize the software component concepts and fundamental programming entities into programming abstractions that will be better understood by the application developers. The programming model is designed to support computational frameworks that manage many of the tedious programming details, but also that allow sufficient programmer control to design an accurate, high-performance application.

  8. A New Image Steganography Based On First Component Alteration Technique

    Directory of Open Access Journals (Sweden)

    Amanpreet Kaur

    2009-12-01

    Full Text Available In this paper, A new image steganography scheme is proposed which is a kind of spatial domain technique. In order to hide secret data in cover-image, the first component alteration technique is used. Techniques used so far focuses only on the two or four bits of a pixel in a image (at the most five bits at the edge of an image which results in less peak to signal noise ratio and high root mean square error. In this technique, 8 bits of blue components of pixels are replaced with secret data bits. Proposed scheme can embed more data than previous schemes and shows better image quality. To prove this scheme, several experiments are performed, and are compared the experimental results with the related previous works.Keywords—image; mean square error; Peak signal to noise ratio; steganography;

  9. Service oriented architecture assessment based on software components

    OpenAIRE

    Mahnaz Amirpour; Ali Harounabadi; Seyyed Javad Mirabedini

    2016-01-01

    Enterprise architecture, with detailed descriptions of the functions of information technology in the organization, tries to reduce the complexity of technology applications resulting in tools with greater efficiency in achieving the objectives of the organization. Enterprise architecture consists of a set of models describing this technology in different components performance as well as various aspects of the applications in any organization. Therefore, information technology development an...

  10. Component Thermodynamical Selection Based Gene Expression Programming for Function Finding

    OpenAIRE

    Zhaolu Guo; Zhijian Wu; Xiaojian Dong; Kejun Zhang; Shenwen Wang; Yuanxiang Li

    2014-01-01

    Gene expression programming (GEP), improved genetic programming (GP), has become a popular tool for data mining. However, like other evolutionary algorithms, it tends to suffer from premature convergence and slow convergence rate when solving complex problems. In this paper, we propose an enhanced GEP algorithm, called CTSGEP, which is inspired by the principle of minimal free energy in thermodynamics. In CTSGEP, it employs a component thermodynamical selection (CTS) operator to quantitativel...

  11. Bridging the Component-Based and Service-Oriented Worlds

    Czech Academy of Sciences Publication Activity Database

    Mašek, K.; Hnětynka, P.; Bureš, Tomáš

    Los Alamitos : IEEE Computer Society, 2009, s. 47-54. ISBN 978-0-7695-3784-9. [SEAA 2009. EUROMICRO Conference on Software Engineering and Advanced Applications /35./. Patras (GR), 27.08.2009-29.08.2009] R&D Projects: GA AV ČR 1ET400300504 Institutional research plan: CEZ:AV0Z10300504 Keywords : components * service s * OSGi * integration Subject RIV: JC - Computer Hardware ; Software

  12. The essence of component-based design and coordination

    OpenAIRE

    Poss, Raphael 'kena'

    2013-01-01

    Is there a characteristic of coordination languages that makes them qualitatively different from general programming languages and deserves special academic attention? This report proposes a nuanced answer in three parts. The first part highlights that coordination languages are the means by which composite software applications can be specified using components that are only available separately, or later in time, via standard interfacing mechanisms. The second part highlights that most curr...

  13. Management of service composition based on self-controlled components

    OpenAIRE

    Aubonnet, Tatiana; Henrio, Ludovic; Kessal, Soumia; Kulankhina, Oleksandra; Lemoine, Frédéric; Madelaine, Eric; Ruz, Cristian; Simoni, Noëmie

    2015-01-01

    Cloud computing and Future Internet promise a new ecosystem where everything is "as a service", reachable and connectable anywhere and anytime, everyone succeeding to get a service composition that meets his needs. But do we have the structure and the appropriate properties to design the service components and do we have the means to manage, at run-time, the personalised compositions corresponding to Service Level Agreement? In this article we introduce an entity of service composition called...

  14. Design and Implementation of Intelligent Space: a Component Based Approach

    OpenAIRE

    Sasaki, Takeshi; Hashimoto, Hideki

    2010-01-01

    Intelligent robot systems are developed by integration of mechatronics and software technologies. However, the systems are getting more complicated since the cooperation of various types of robots is necessary to realize advanced services for users. Therefore, the system integration becomes an important issue. In order to realize a flexible and scalable system, Intelligent Space (iSpace) is implemented using RT (robot technology) middleware. First we discussed the component design of the info...

  15. From Textual Use-Cases to Component-Based Applications

    Czech Academy of Sciences Publication Activity Database

    Šimko, V.; Hnětynka, P.; Bureš, Tomáš

    Berlin: Springer, 2010 - (Lee, R.; Ma, J.; Bacon, L.; Du, W.; Petridis, M.), s. 23-37. (Studies in Computational Intelligence . 295). ISBN 978-3-642-13264-3. ISSN 1860-949X. [SNDP 2010. International Conference on Software Engineering, Artificial Intelligence , Networking, and Parallel/Distributed Computing /11./. London (GB), 09.06.2010-11.06.2010] Institutional research plan: CEZ:AV0Z10300504 Keywords : software components * use-cases * natural language Subject RIV: JC - Computer Hardware ; Software

  16. Facial Expression Recognition based on Independent Component Analysis

    OpenAIRE

    XiaoHui Guo; Xiao Zhang; Chao Deng; Jianyu Wei

    2013-01-01

    As an important part of artificial intelligence and pattern recognition, facial expression recognition has drawn much attention recently and numerous methods have been proposed. Feature extraction is the most important part which directly affects the final recognition results. Independent component analysis (ICA) is a subspace analysis method, which is also a novel statistical technique in signal processing and machine learning that aims at finding linear projections of the data that maximize...

  17. Simultaneous measurement of magnetic field and temperature based on an etched TCFMI cascaded with an FBG

    Science.gov (United States)

    Yan, Guofeng; Zhang, Liang; He, Sailing

    2016-04-01

    In this paper, a dual-parameter measurement scheme based on an etched thin core fiber modal interferometer (TCMI) cascaded with a fiber Bragg grating (FBG) is proposed and experimentally demonstrated for simultaneous measurement of magnetic field and temperature. The magnetic field and temperature responses of the packaged TCFMI were first investigated, which showed that the magnetic field sensitivity could be highly enhanced by decreasing of the TCF diameter and the temperature-cross sensitivities were up to 3-7 Oe/°C at 1550 nm. Then, the theoretical analysis and experimental demonstration of the proposed dual-parameter sensing scheme were conducted. Experimental results show that, the reflection of the FBG has a magnetic field intensity and temperature sensitivities of -0.017 dB/Oe and 0.133 dB/°C, respectively, while the Bragg wavelength of the FBG is insensitive to magnetic field and has a temperature sensitivity of 13.23 pm/°C. Thus by using the sensing matrix method, the intensity of the magnetic field and the temperature variance can be measured, which enables magnetic field sensing under strict temperature environments. In the on-off time response test, the fabricated sensor exhibited high repeatability and short response time of ∼19.4 s. Meanwhile the reflective sensing probe type is more compact and practical for applications in hard-to-reach conditions.

  18. Mathematical Modeling and Simulation of SWRO Process Based on Simultaneous Method

    Directory of Open Access Journals (Sweden)

    Aipeng Jiang

    2014-01-01

    Full Text Available Reverse osmosis (RO technique is one of the most efficient ways for seawater desalination to solve the shortage of freshwater. For prediction and analysis of the performance of seawater reverse osmosis (SWRO process, an accurate and detailed model based on the solution-diffusion and mass transfer theory is established. Since the accurate formulation of the model includes many differential equations and strong nonlinear equations (differential and algebraic equations, DAEs, to solve the problem efficiently, the simultaneous method through orthogonal collocation on finite elements and large scale solver were used to obtain the solutions. The model was fully discretized into NLP (nonlinear programming with large scale variables and equations, and then the NLP was solved by large scale solver of IPOPT. Validation of the formulated model and solution method is verified by case study on a SWRO plant. Then simulation and analysis are carried out to demonstrate the performance of reverse osmosis process; operational conditions such as feed pressure and feed flow rate as well as feed temperature are also analyzed. This work is of significant meaning for the detailed understanding of RO process and future energy saving through operational optimization.

  19. Aptamer/quantum dot-based simultaneous electrochemical detection of multiple small molecules

    Energy Technology Data Exchange (ETDEWEB)

    Zhang Haixia [Key Laboratory on Luminescence and Real-Time Analysis, Ministry of Education, School of Chemistry and Chemical Engineering, Southwest University, Chongqing 400715 (China); Jiang Bingying [School of Chemistry and Chemical Engineering, Chongqing University of Technology, Chongqing 400040 (China); Xiang Yun, E-mail: yunatswu@swu.edu.cn [Key Laboratory on Luminescence and Real-Time Analysis, Ministry of Education, School of Chemistry and Chemical Engineering, Southwest University, Chongqing 400715 (China); Zhang Yuyong; Chai Yaqin [Key Laboratory on Luminescence and Real-Time Analysis, Ministry of Education, School of Chemistry and Chemical Engineering, Southwest University, Chongqing 400715 (China); Yuan Ruo, E-mail: yuanruo@swu.edu.cn [Key Laboratory on Luminescence and Real-Time Analysis, Ministry of Education, School of Chemistry and Chemical Engineering, Southwest University, Chongqing 400715 (China)

    2011-03-04

    A novel strategy for 'signal on' and sensitive one-spot simultaneous detection of multiple small molecular analytes based on electrochemically encoded barcode quantum dot (QD) tags is described. The target analytes, adenosine triphosphate (ATP) and cocaine, respectively, are sandwiched between the corresponding set of surface-immobilized primary binding aptamers and the secondary binding aptamer/QD bioconjugates. The captured QDs yield distinct electrochemical signatures after acid dissolution, whose position and size reflect the identity and level, respectively, of the corresponding target analytes. Due to the inherent amplification feature of the QD labels and the 'signal on' detection scheme, as well as the sensitive monitoring of the metal ions released upon acid dissolution of the QD labels, low detection limits of 30 nM and 50 nM were obtained for ATP and cocaine, respectively, in our assays. Our multi-analyte sensing system also shows high specificity to target analytes and promising applicability to complex sample matrix, which makes the proposed assay protocol an attractive route for screening of small molecules in clinical diagnosis.

  20. Facile synthesis of diverse graphene nanomeshes based on simultaneous regulation of pore size and surface structure

    Science.gov (United States)

    Zhang, Jia; Song, Huaibing; Zeng, Dawen; Wang, Hao; Qin, Ziyu; Xu, Keng; Pang, Aimin; Xie, Changsheng

    2016-01-01

    Recently, graphene nanomesh (GNM) has attracted great attentions due to its unique porous structure, abundant active sites, finite band gap and possesses potential applications in the fields of electronics, gas sensor/storage, catalysis, etc. Therefore, diverse GNMs with different physical and chemical properties are required urgently to meet different applications. Herein we demonstrate a facile synthetic method based on the famous Fenton reaction to prepare GNM, by using economically fabricated graphene oxide (GO) as a starting material. By precisely controlling the reaction time, simultaneous regulation of pore size from 2.9 to 11.1 nm and surface structure can be realized. Ultimately, diverse GNMs with tunable band gap and work function can be obtained. Specially, the band gap decreases from 4.5–2.3 eV for GO, which is an insulator, to 3.9–1.24 eV for GNM-5 h, which approaches to a semiconductor. The dual nature of electrophilic addition and oxidizability of HO• is responsible for this controllable synthesis. This efficient, low-cost, inherently scalable synthetic method is suitable for provide diverse and optional GNMs, and may be generalized to a universal technique. PMID:27561350

  1. Cantilever-based micro-particle filter with simultaneous single particle detection

    International Nuclear Information System (INIS)

    Currently, separation of whole blood samples on lab-on-a-chip systems is achieved via filters followed by analysis of the filtered matter such as counting of blood cells. Here, a micro-chip based on cantilever technology is developed, which enables simultaneous filtration and counting of micro-particles from a liquid. A hole-array is integrated into a micro-cantilever, which is inserted into a microfluidic channel perpendicular to the flow. A metal pad at the apex of the cantilever enables an optical read-out of the deflection of the cantilever. When a micro-particle is too large to pass a hole in the cantilever, clogging of the holes increases the flow resistance of the cantilever. This causes a bending of the device, which can be detected by the optical read-out system. By arranging an array of such cantilevers with different hole sizes, separation by size can be achieved. In this paper a proof of concept of the device is demonstrated by filtering and counting 20 µm polystyrene beads dispersed in an aqueous solution

  2. Simultaneous Channel and Feature Selection of Fused EEG Features Based on Sparse Group Lasso

    Directory of Open Access Journals (Sweden)

    Jin-Jia Wang

    2015-01-01

    Full Text Available Feature extraction and classification of EEG signals are core parts of brain computer interfaces (BCIs. Due to the high dimension of the EEG feature vector, an effective feature selection algorithm has become an integral part of research studies. In this paper, we present a new method based on a wrapped Sparse Group Lasso for channel and feature selection of fused EEG signals. The high-dimensional fused features are firstly obtained, which include the power spectrum, time-domain statistics, AR model, and the wavelet coefficient features extracted from the preprocessed EEG signals. The wrapped channel and feature selection method is then applied, which uses the logistical regression model with Sparse Group Lasso penalized function. The model is fitted on the training data, and parameter estimation is obtained by modified blockwise coordinate descent and coordinate gradient descent method. The best parameters and feature subset are selected by using a 10-fold cross-validation. Finally, the test data is classified using the trained model. Compared with existing channel and feature selection methods, results show that the proposed method is more suitable, more stable, and faster for high-dimensional feature fusion. It can simultaneously achieve channel and feature selection with a lower error rate. The test accuracy on the data used from international BCI Competition IV reached 84.72%.

  3. Facile synthesis of diverse graphene nanomeshes based on simultaneous regulation of pore size and surface structure.

    Science.gov (United States)

    Zhang, Jia; Song, Huaibing; Zeng, Dawen; Wang, Hao; Qin, Ziyu; Xu, Keng; Pang, Aimin; Xie, Changsheng

    2016-01-01

    Recently, graphene nanomesh (GNM) has attracted great attentions due to its unique porous structure, abundant active sites, finite band gap and possesses potential applications in the fields of electronics, gas sensor/storage, catalysis, etc. Therefore, diverse GNMs with different physical and chemical properties are required urgently to meet different applications. Herein we demonstrate a facile synthetic method based on the famous Fenton reaction to prepare GNM, by using economically fabricated graphene oxide (GO) as a starting material. By precisely controlling the reaction time, simultaneous regulation of pore size from 2.9 to 11.1 nm and surface structure can be realized. Ultimately, diverse GNMs with tunable band gap and work function can be obtained. Specially, the band gap decreases from 4.5-2.3 eV for GO, which is an insulator, to 3.9-1.24 eV for GNM-5 h, which approaches to a semiconductor. The dual nature of electrophilic addition and oxidizability of HO(•) is responsible for this controllable synthesis. This efficient, low-cost, inherently scalable synthetic method is suitable for provide diverse and optional GNMs, and may be generalized to a universal technique. PMID:27561350

  4. Experimental study on simultaneous desulfurization and denitrification based on highly active absorbent

    Institute of Scientific and Technical Information of China (English)

    2006-01-01

    Simultaneous removal of SO2 and NO from flue gas by the highly active absorbent prepared from fly ash, lime and a few oxidizing manganese compound additive was studied using a flue gas circulating fluidized bed (CFB) under different experimental conditions. The effects influencing the removal effiencies were discussed. The optimal flue gas temperature, flue gas humidity, gas velocity of CFB and Ca/(S+N) molar ratio with this process were approximately 110℃, 6%, 1.8 m/s and 1.05, respectively. Removal efficiencies of 92.3% for SO2 and 60.88% for NO were obtained under the optimal experimental conditions. While the spent absorbent appeared in the form of dry powder, the mechanism of removal for SO2 and NO based on the highly active absorbent was investigated by a scanning electron microscope (SEM), a X-ray energy spectrometer and the chemical analysis methods. The valuable references can be provided for industrial application by the process. The foreground of application will be vast in China and in the world.

  5. Oligonucleotide-based fluorogenic sensor for simultaneous detection of heavy metal ions.

    Science.gov (United States)

    Hao, Changlong; Xua, Liguang; Xing, Changrui; Kuang, Hua; Wang, Libing; Xu, Chuanlai

    2012-01-01

    In this study, we report a new fluorogenic sensor based on fluorescence resonance energy transfer (FRET) for detection of heavy metal ions in aqueous solution. The method showed the advantage of being simple, highly sensitive and selective, and rapid. The donor (CdTe QDs) and acceptor (TAMRA or Cy5) are brought into close proximity to one another due to Hg(2+) and Ag(+) form strong and stable T-Hg(2+)-T complexes and C-Ag(+)-C complexes, which quenches the fluorescent intensity of CdTe QDs and enables the energy transfer from donor to acceptor. This sensor showed high sensitivity and selectivity when only one kind of ion (Ag(+) or Hg(2+)) exists. Furthermore, the assay can also simultaneously detect Ag(+) and Hg(2+) in water media with the limit of detection (LOD) of 2.5 and 1.8 nM, separately, which satisfactorily meets the sensitivity demands of Environmental Protection Agency (EPA) and World Health Organization (WHO). This assay also exhibits excellent selectivity toward Ag(+) and Hg(2+). Therefore, this method is of great practical and theoretical importance for detecting heavy metal ions in aqueous solution. PMID:22560162

  6. Simultaneous measurement of strain, temperature and refractive index based on multimode interference, fiber tapering and fiber Bragg gratings

    Science.gov (United States)

    Oliveira, Ricardo; Osório, Jonas H.; Aristilde, Stenio; Bilro, Lúcia; Nogueira, Rogerio N.; Cordeiro, Cristiano M. B.

    2016-07-01

    We report the development of an optical fiber sensor capable of simultaneously measuring strain, temperature and refractive index. The sensor is based on the combination of two fiber Bragg gratings written in a standard single-mode fiber, one in an untapered region and another in a tapered region, spliced to a no-core fiber. The possibility of simultaneously measuring three parameters relies on the different sensitivity responses of each part of the sensor. The results have shown the possibility of measuring three parameters simultaneously with a resolution of 3.77 με, 1.36 °C and 5  ×  10‑4, respectively for strain, temperature and refractive index. On top of the multiparameter ability, the simple production and combination of all the parts involved on this optical-fiber-based sensor is an attractive feature for several sensing applications.

  7. An Improved Otsu Threshold Segmentation Method for Underwater Simultaneous Localization and Mapping-Based Navigation

    Science.gov (United States)

    Yuan, Xin; Martínez, José-Fernán; Eckert, Martina; López-Santidrián, Lourdes

    2016-01-01

    The main focus of this paper is on extracting features with SOund Navigation And Ranging (SONAR) sensing for further underwater landmark-based Simultaneous Localization and Mapping (SLAM). According to the characteristics of sonar images, in this paper, an improved Otsu threshold segmentation method (TSM) has been developed for feature detection. In combination with a contour detection algorithm, the foreground objects, although presenting different feature shapes, are separated much faster and more precisely than by other segmentation methods. Tests have been made with side-scan sonar (SSS) and forward-looking sonar (FLS) images in comparison with other four TSMs, namely the traditional Otsu method, the local TSM, the iterative TSM and the maximum entropy TSM. For all the sonar images presented in this work, the computational time of the improved Otsu TSM is much lower than that of the maximum entropy TSM, which achieves the highest segmentation precision among the four above mentioned TSMs. As a result of the segmentations, the centroids of the main extracted regions have been computed to represent point landmarks which can be used for navigation, e.g., with the help of an Augmented Extended Kalman Filter (AEKF)-based SLAM algorithm. The AEKF-SLAM approach is a recursive and iterative estimation-update process, which besides a prediction and an update stage (as in classical Extended Kalman Filter (EKF)), includes an augmentation stage. During navigation, the robot localizes the centroids of different segments of features in sonar images, which are detected by our improved Otsu TSM, as point landmarks. Using them with the AEKF achieves more accurate and robust estimations of the robot pose and the landmark positions, than with those detected by the maximum entropy TSM. Together with the landmarks identified by the proposed segmentation algorithm, the AEKF-SLAM has achieved reliable detection of cycles in the map and consistent map update on loop closure, which is

  8. An Improved Otsu Threshold Segmentation Method for Underwater Simultaneous Localization and Mapping-Based Navigation

    Directory of Open Access Journals (Sweden)

    Xin Yuan

    2016-07-01

    Full Text Available The main focus of this paper is on extracting features with SOund Navigation And Ranging (SONAR sensing for further underwater landmark-based Simultaneous Localization and Mapping (SLAM. According to the characteristics of sonar images, in this paper, an improved Otsu threshold segmentation method (TSM has been developed for feature detection. In combination with a contour detection algorithm, the foreground objects, although presenting different feature shapes, are separated much faster and more precisely than by other segmentation methods. Tests have been made with side-scan sonar (SSS and forward-looking sonar (FLS images in comparison with other four TSMs, namely the traditional Otsu method, the local TSM, the iterative TSM and the maximum entropy TSM. For all the sonar images presented in this work, the computational time of the improved Otsu TSM is much lower than that of the maximum entropy TSM, which achieves the highest segmentation precision among the four above mentioned TSMs. As a result of the segmentations, the centroids of the main extracted regions have been computed to represent point landmarks which can be used for navigation, e.g., with the help of an Augmented Extended Kalman Filter (AEKF-based SLAM algorithm. The AEKF-SLAM approach is a recursive and iterative estimation-update process, which besides a prediction and an update stage (as in classical Extended Kalman Filter (EKF, includes an augmentation stage. During navigation, the robot localizes the centroids of different segments of features in sonar images, which are detected by our improved Otsu TSM, as point landmarks. Using them with the AEKF achieves more accurate and robust estimations of the robot pose and the landmark positions, than with those detected by the maximum entropy TSM. Together with the landmarks identified by the proposed segmentation algorithm, the AEKF-SLAM has achieved reliable detection of cycles in the map and consistent map update on loop

  9. An Improved Otsu Threshold Segmentation Method for Underwater Simultaneous Localization and Mapping-Based Navigation.

    Science.gov (United States)

    Yuan, Xin; Martínez, José-Fernán; Eckert, Martina; López-Santidrián, Lourdes

    2016-01-01

    The main focus of this paper is on extracting features with SOund Navigation And Ranging (SONAR) sensing for further underwater landmark-based Simultaneous Localization and Mapping (SLAM). According to the characteristics of sonar images, in this paper, an improved Otsu threshold segmentation method (TSM) has been developed for feature detection. In combination with a contour detection algorithm, the foreground objects, although presenting different feature shapes, are separated much faster and more precisely than by other segmentation methods. Tests have been made with side-scan sonar (SSS) and forward-looking sonar (FLS) images in comparison with other four TSMs, namely the traditional Otsu method, the local TSM, the iterative TSM and the maximum entropy TSM. For all the sonar images presented in this work, the computational time of the improved Otsu TSM is much lower than that of the maximum entropy TSM, which achieves the highest segmentation precision among the four above mentioned TSMs. As a result of the segmentations, the centroids of the main extracted regions have been computed to represent point landmarks which can be used for navigation, e.g., with the help of an Augmented Extended Kalman Filter (AEKF)-based SLAM algorithm. The AEKF-SLAM approach is a recursive and iterative estimation-update process, which besides a prediction and an update stage (as in classical Extended Kalman Filter (EKF)), includes an augmentation stage. During navigation, the robot localizes the centroids of different segments of features in sonar images, which are detected by our improved Otsu TSM, as point landmarks. Using them with the AEKF achieves more accurate and robust estimations of the robot pose and the landmark positions, than with those detected by the maximum entropy TSM. Together with the landmarks identified by the proposed segmentation algorithm, the AEKF-SLAM has achieved reliable detection of cycles in the map and consistent map update on loop closure, which is

  10. Simultaneous Decomposition of Depression Heterogeneity on the Person-, Symptom- and Time-Level : The Use of Three-Mode Principal Component Analysis

    NARCIS (Netherlands)

    Monden, Rei; Wardenaar, Klaas J.; Stegeman, Alwin; Conradi, Henk Jan; de Jonge, Peter

    2015-01-01

    Although heterogeneity of depression hinders research and clinical practice, attempts to reduce it with latent variable models have yielded inconsistent results, probably because these techniques cannot account for all interacting sources of heterogeneity at the same time. Therefore, to simultaneous

  11. Simultaneous decomposition of depression heterogeneity on the person-, symptom- and time-level: the use of three-mode principal component analysis.

    NARCIS (Netherlands)

    R. Monden; K.J. Wardenaar; A. Stegeman; H.J. Conradi; P. de Jonge

    2015-01-01

    Although heterogeneity of depression hinders research and clinical practice, attempts to reduce it with latent variable models have yielded inconsistent results, probably because these techniques cannot account for all interacting sources of heterogeneity at the same time. Therefore, to simultaneous

  12. Raman Based Process Monitor For Continuous Real-Time Analysis Of High Level Radioactive Waste Components

    International Nuclear Information System (INIS)

    A new monitoring system was developed at Pacific Northwest National Laboratory (PNNL) to quickly generate real-time data/analysis to facilitate a timely response to the dynamic characteristics of a radioactive high level waste stream. The developed process monitor features Raman and Coriolis/conductivity instrumentation configured for the remote monitoring, MatLab-based chemometric data processing, and comprehensive software for data acquisition/storage/archiving/display. The monitoring system is capable of simultaneously and continuously quantifying the levels of all the chemically significant anions within the waste stream including nitrate, nitrite, phosphate, carbonate, chromate, hydroxide, sulfate, and aluminate. The total sodium ion concentration was also determined independently by modeling inputs from on-line conductivity and density meters. In addition to the chemical information, this monitoring system provides immediate real-time data on the flow parameters, such as flow rate and temperature, and cumulative mass/volume of the retrieved waste stream. The components and analytical tools of the new process monitor can be tailored for a variety of complex mixtures in chemically harsh environments, such as pulp and paper processing liquids, electroplating solutions, and radioactive tank wastes. The developed monitoring system was tested for acceptability before it was deployed for use in Hanford Tank S-109 retrieval activities. The acceptance tests included performance inspection of hardware, software, and chemometric data analysis to determine the expected measurement accuracy for the different chemical species that are encountered during S-109 retrieval.

  13. Raman Based Process Monitor for Continuous Real-Time Analysis Of High Level Radioactive Waste Components

    International Nuclear Information System (INIS)

    A new monitoring system was developed at Pacific Northwest National Laboratory (PNNL) to quickly generate real-time data/analysis to facilitate a timely response to the dynamic characteristics of a radioactive high level waste stream. The developed process monitor features Raman and Coriolis/conductivity instrumentation configured for the remote monitoring, MatLab-based chemometric data processing, and comprehensive software for data acquisition/storage/archiving/display. The monitoring system is capable of simultaneously and continuously quantifying the levels of all the chemically significant anions within the waste stream including nitrate, nitrite, phosphate, carbonate, chromate, hydroxide, sulfate, and aluminate. The total sodium ion concentration was also determined independently by modeling inputs from on-line conductivity and density meters. In addition to the chemical information, this monitoring system provides immediate real-time data on the flow parameters, such as flow rate and temperature, and cumulative mass/volume of the retrieved waste stream. The components and analytical tools of the new process monitor can be tailored for a variety of complex mixtures in chemically harsh environments, such as pulp and paper processing liquids, electroplating solutions, and radioactive tank wastes. The developed monitoring system was tested for acceptability before it was deployed for use in Hanford Tank S-109 retrieval activities. The acceptance tests included performance inspection of hardware, software, and chemometric data analysis to determine the expected measurement accuracy for the different chemical species that are encountered during S-109 retrieval. (authors)

  14. Monitoring of an industrial process by multivariate control charts based on principal component analysis.

    Science.gov (United States)

    Marengo, Emilio; Gennaro, Maria Carla; Gianotti, Valentina; Robotti, Elisa

    2003-01-01

    The control and monitoring of an industrial process is performed in this paper by the multivariate control charts. The process analysed consists of the bottling of the entire production of 1999 of the sparkling wine "Asti Spumante". This process is characterised by a great number of variables that can be treated with multivariate techniques. The monitoring of the process performed with classical Shewhart charts is very dangerous because they do not take into account the presence of functional relationships between the variables. The industrial process was firstly analysed by multivariate control charts based on Principal Component Analysis. This approach allowed the identification of problems in the process and of their causes. Successively, the SMART Charts (Simultaneous Scores Monitoring And Residual Tracking) were built in order to study the process in its whole. In spite of the successful identification of the presence of problems in the monitored process, the Smart chart did not allow an easy identification of the special causes of variation which casued the problems themselves. PMID:12911145

  15. Component-Based Approach for Educating Students in Bioinformatics

    Science.gov (United States)

    Poe, D.; Venkatraman, N.; Hansen, C.; Singh, G.

    2009-01-01

    There is an increasing need for an effective method of teaching bioinformatics. Increased progress and availability of computer-based tools for educating students have led to the implementation of a computer-based system for teaching bioinformatics as described in this paper. Bioinformatics is a recent, hybrid field of study combining elements of…

  16. Luminex-Based Triplex Immunoassay for the Simultaneous Detection of Soy, Pea and Soluble Wheat proteins in Milk Powder

    NARCIS (Netherlands)

    Haasnoot, W.; Pre, du J.G.

    2007-01-01

    An automated fluorescent microsphere-based flow cytometric triplex immunoassay, using the Luminex 100 flow analyzer with MultiAnalyte Profiling (xMAP) technology, was developed for the simultaneous detection of proteins from three vegetable sources as potential fraudulent adulterants in milk powder.

  17. In vivo continuous and simultaneous monitoring of brain energy substrates with a multiplex amperometric enzyme-based biosensor device

    NARCIS (Netherlands)

    De Lima Braga Lopes Cordeiro, Carlos; de Vries, M.G.; Ngabi, W; Oomen, P.E.; Cremers, T.I.F.H.; Westerink, B.H.C.

    2015-01-01

    Enzyme-based amperometric biosensors are widely used for monitoring key biomarkers. In experimental neuroscience there is a growing interest in in vivo continuous and simultaneous monitoring of metabolism-related biomarkers, like glucose, lactate and pyruvate. The use of multiplex biosensors will pr

  18. Component Thermodynamical Selection Based Gene Expression Programming for Function Finding

    Directory of Open Access Journals (Sweden)

    Zhaolu Guo

    2014-01-01

    Full Text Available Gene expression programming (GEP, improved genetic programming (GP, has become a popular tool for data mining. However, like other evolutionary algorithms, it tends to suffer from premature convergence and slow convergence rate when solving complex problems. In this paper, we propose an enhanced GEP algorithm, called CTSGEP, which is inspired by the principle of minimal free energy in thermodynamics. In CTSGEP, it employs a component thermodynamical selection (CTS operator to quantitatively keep a balance between the selective pressure and the population diversity during the evolution process. Experiments are conducted on several benchmark datasets from the UCI machine learning repository. The results show that the performance of CTSGEP is better than the conventional GEP and some GEP variations.

  19. Principal component analysis based methodology to distinguish protein SERS spectra

    Science.gov (United States)

    Das, G.; Gentile, F.; Coluccio, M. L.; Perri, A. M.; Nicastri, A.; Mecarini, F.; Cojoc, G.; Candeloro, P.; Liberale, C.; De Angelis, F.; Di Fabrizio, E.

    2011-05-01

    Surface-enhanced Raman scattering (SERS) substrates were fabricated using electro-plating and e-beam lithography techniques. Nano-structures were obtained comprising regular arrays of gold nanoaggregates with a diameter of 80 nm and a mutual distance between the aggregates (gap) ranging from 10 to 30 nm. The nanopatterned SERS substrate enabled to have better control and reproducibility on the generation of plasmon polaritons (PPs). SERS measurements were performed for various proteins, namely bovine serum albumin (BSA), myoglobin, ferritin, lysozyme, RNase-B, α-casein, α-lactalbumin and trypsin. Principal component analysis (PCA) was used to organize and classify the proteins on the basis of their secondary structure. Cluster analysis proved that the error committed in the classification was of about 14%. In the paper, it was clearly shown that the combined use of SERS measurements and PCA analysis is effective in categorizing the proteins on the basis of secondary structure.

  20. Reliability-Based Design Optimization of a Composite Airframe Component

    Science.gov (United States)

    Patnaik, Surya N.; Pai, Shantaram S.; Coroneos, Rula M.

    2009-01-01

    A stochastic design optimization methodology (SDO) has been developed to design components of an airframe structure that can be made of metallic and composite materials. The design is obtained as a function of the risk level, or reliability, p. The design method treats uncertainties in load, strength, and material properties as distribution functions, which are defined with mean values and standard deviations. A design constraint or a failure mode is specified as a function of reliability p. Solution to stochastic optimization yields the weight of a structure as a function of reliability p. Optimum weight versus reliability p traced out an inverted-S-shaped graph. The center of the inverted-S graph corresponded to 50 percent (p = 0.5) probability of success. A heavy design with weight approaching infinity could be produced for a near-zero rate of failure that corresponds to unity for reliability p (or p = 1). Weight can be reduced to a small value for the most failure-prone design with a reliability that approaches zero (p = 0). Reliability can be changed for different components of an airframe structure. For example, the landing gear can be designed for a very high reliability, whereas it can be reduced to a small extent for a raked wingtip. The SDO capability is obtained by combining three codes: (1) The MSC/Nastran code was the deterministic analysis tool, (2) The fast probabilistic integrator, or the FPI module of the NESSUS software, was the probabilistic calculator, and (3) NASA Glenn Research Center s optimization testbed CometBoards became the optimizer. The SDO capability requires a finite element structural model, a material model, a load model, and a design model. The stochastic optimization concept is illustrated considering an academic example and a real-life raked wingtip structure of the Boeing 767-400 extended range airliner made of metallic and composite materials.

  1. Development of spiropyran-based electrochemical sensor via simultaneous photochemical and target-activatable electron transfer.

    Science.gov (United States)

    Tao, Jia; Li, Yinhui; Zhao, Peng; Li, Jishan; Duan, Yu; Zhao, Wenjie; Yang, Ronghua

    2014-12-15

    In traditional electrochemical sensors, the electrochemical signal transduction of the redox-active material is usually controlled by the analytical target. Due to non-specific interaction between the redox mediator and the target, false signal by single stimulus may not be avoided. To address this issue, we have developed a new electrochemical sensor that uses a functional spiropyran, an important class of photo and thermochromic compounds, as both recognition receptor and latent redox mediator, to realize simultaneous photochemical and target-modulated electron transfer. As a proof of principle, β-galactosidase was chosen as a model target. The new synthesized spiropyran probe, SP-β-gal, undergoes reversibly structural isomerization to form merocyanine under UV light irradiation. After the glycosidic bond being cleaved by β-galactosidase, the opened merocyanine of SP-β-gal forms redox-active 2-(2.5-dihydroxystyryl)-1.3.3-trimethyl-3H-indolium, and thus produces a pair of reversible redox current peaks under the electrochemical scanning. To amplify the detection signal, SP-β-gal was self-assembled with single-walled carbon nanotubes (SWCNTs) on the surface of glass carbon electrode. Kinetics experiments confirm that the probe is an ideal candidate for the determination of different concentrations of β-galactosidase digestion kinetics. Further, the SP-β-gal/SWCNTs-modified electrode is chemically stable in complex biological fluids. It was successfully applied to monitor β-galactosidase activity in the 10% calf thymus. This work represents not only a significant step forward in the further development of low-dimensional carbon nanomaterials/small organic molecular probes-based electrochemical biosensors, but also a new platform which may be extended to the assay of other enzyme such as β-D-glycosidase and so on by translating the biorecognition into electrochemical signal responses. PMID:24997369

  2. Critical components for diamond-based quantum coherent devices

    International Nuclear Information System (INIS)

    The necessary elements for practical devices exploiting quantum coherence in diamond materials are summarized, and progress towards their realization documented. A brief review of future prospects for diamond-based devices is also provided

  3. Method for rapid measuring retardation of a quarter-wave plate based on simultaneous phase shifting technique

    Institute of Scientific and Technical Information of China (English)

    Kun Yang; Aijun Zeng; Xiangzhao Wang; Feng Tang; Hua Wang

    2008-01-01

    A method for rapid measuring retardation of a quarter-wave plate based on simultaneous phase shifting technique is presented. The simultaneous phase shifting function is realized by an orthogonal grating, a diaphragm, an analyzer array, and a 4-quadrant detector. The intensities of the light beams from the four analyzers with different azimuths are measured simultaneously. The retardation of the quarter-wave plate is obtained through the four light intensity values. In this method, the major axis position of the quarter-wave plate need not be determined in advance. In addition, the measured result is free of the intensity fluctuation of light source. The feasibility of the method is verified by the experiments.

  4. EEG-Based Emotion Recognition Using Deep Learning Network with Principal Component Based Covariate Shift Adaptation

    Directory of Open Access Journals (Sweden)

    Suwicha Jirayucharoensak

    2014-01-01

    Full Text Available Automatic emotion recognition is one of the most challenging tasks. To detect emotion from nonstationary EEG signals, a sophisticated learning algorithm that can represent high-level abstraction is required. This study proposes the utilization of a deep learning network (DLN to discover unknown feature correlation between input signals that is crucial for the learning task. The DLN is implemented with a stacked autoencoder (SAE using hierarchical feature learning approach. Input features of the network are power spectral densities of 32-channel EEG signals from 32 subjects. To alleviate overfitting problem, principal component analysis (PCA is applied to extract the most important components of initial input features. Furthermore, covariate shift adaptation of the principal components is implemented to minimize the nonstationary effect of EEG signals. Experimental results show that the DLN is capable of classifying three different levels of valence and arousal with accuracy of 49.52% and 46.03%, respectively. Principal component based covariate shift adaptation enhances the respective classification accuracy by 5.55% and 6.53%. Moreover, DLN provides better performance compared to SVM and naive Bayes classifiers.

  5. EEG-based emotion recognition using deep learning network with principal component based covariate shift adaptation.

    Science.gov (United States)

    Jirayucharoensak, Suwicha; Pan-Ngum, Setha; Israsena, Pasin

    2014-01-01

    Automatic emotion recognition is one of the most challenging tasks. To detect emotion from nonstationary EEG signals, a sophisticated learning algorithm that can represent high-level abstraction is required. This study proposes the utilization of a deep learning network (DLN) to discover unknown feature correlation between input signals that is crucial for the learning task. The DLN is implemented with a stacked autoencoder (SAE) using hierarchical feature learning approach. Input features of the network are power spectral densities of 32-channel EEG signals from 32 subjects. To alleviate overfitting problem, principal component analysis (PCA) is applied to extract the most important components of initial input features. Furthermore, covariate shift adaptation of the principal components is implemented to minimize the nonstationary effect of EEG signals. Experimental results show that the DLN is capable of classifying three different levels of valence and arousal with accuracy of 49.52% and 46.03%, respectively. Principal component based covariate shift adaptation enhances the respective classification accuracy by 5.55% and 6.53%. Moreover, DLN provides better performance compared to SVM and naive Bayes classifiers. PMID:25258728

  6. Multiparameter Analysis-Based Electrochemiluminescent Assay for Simultaneous Detection of Multiple Biomarker Proteins on a Single Interface.

    Science.gov (United States)

    Liang, Wenbin; Fan, Chenchen; Zhuo, Ying; Zheng, Yingning; Xiong, Chengyi; Chai, Yaqin; Yuan, Ruo

    2016-05-01

    Electrochemiluminescent (ECL) assay with high sensitivity has been considered as one of the potential strategies to simultaneously detect multiple biomarker proteins. However, it was essential, but full of challenges, to overcome the limitation caused by cross reactions among different ECL indicators. Herein, the multiparameter analysis of ECL-potential signals demonstrated by multivariate linear algebraic equations was first employed in the simultaneous ECL assay to realize multiple detection of biomarker proteins on a single interface. Additionally, owing to the exponential amplification of self-synthesized nucleotide dendrimer by hybridization chain reaction (HCR) and rolling circle amplification (RCA), the developed simultaneous ECL assay showed improved sensitivity and satisfactory accuracy for the detection of N-terminal of the prohormone brain natriuretic peptide (BNPT) and cardiac troponin I (cTnI). Furthermore, a self-designed magnetic beads-based flow system was also employed to improve the feasibility and analysis speed of the simultaneous ECL assay. Importantly, the proposed strategy enabled simultaneous detection of multiple biomarker proteins simply, which could be readily expanded for the multiplexed estimation of various kinds of proteins and nucleotide sequence also, revealing a new avenue for early disease diagnosis with higher efficiency. PMID:27064937

  7. Design of a Conceptual Reference Framework for Reusable Software Components based on Context Level

    Directory of Open Access Journals (Sweden)

    V. Subedha

    2012-01-01

    Full Text Available Reusable software components need to be developed in a generic fashion that allows their reusability in context level. Components identification based on quality metrics for reusability and indexing had been the desired technique in the field of reusable software components. However, the methodologies utilized for the identification of reusable components are not able to handle the reusability of faulty behavior component. In this paper we propose a conceptual reference framework for reusable software components which is available in reusable component repositories and also based on the faulty functional behavior of the components in the environment. Also we propose a Component Extraction scheme named as Minimum Extraction Time First (METF based on extraction time of the component. The component for reuse is qualified based on the functional coverage report, software reuse metrics and minimum extraction time from the collection of components identified. Reuse-Utility-Percent and Reuse-Frequency metrics were used to assess the reusability in the environment. So, the proposed framework can be used to achieve high potential and high quality reuse.

  8. Alpha-beta monitoring system based on pair of simultaneous Multi-Wire Proportional Counters

    Science.gov (United States)

    Wengrowicz, U.; Amidan, D.; Orion, I.

    2016-08-01

    A new approach for a simultaneous alpha-beta Multi-wire Proportional Counter (MWPC) is presented. The popular approach for alpha-beta monitoring systems consists of a large area MWPC using noble gas flow such as Argon Methane. This method of measurement is effective but requires large-scale and expensive maintenance due to the needs of gas flow control and periodic replacements. In this work, a pair of simultaneous MWPCs for alpha-beta measuring is presented. The developed detector consists of a sealed gas MWPC sensor for beta particles, behind a free air alpha sensor. This approach allows effective simultaneous detection and discrimination of both alpha and beta radiation without the maintenance cost noble gas flow required for unsealed detectors.

  9. Implementation of the safety components base on industrial networks

    Science.gov (United States)

    Michalski, P.; Hetmańczyk, M. P.

    2015-11-01

    Capabilities of modern automation systems, especially in the field of industrial networks applications, encouraging them to favor during the process of developing the automation project [2,3,5]. Extensive network topologies and simplicity and clear structure causing displacement of the classic wiring. The article presents: project workflow for creating laboratory stand based on industrial network and base on it implementing the safety system. The individual steps of the process are described. In addition, the paper presents the main concept for controlling the safety functions of the system.

  10. An overview of metrics-based approaches to support software components reusability assessment

    CERN Document Server

    Goulão, Miguel

    2011-01-01

    Objective: To present an overview on the current state of the art concerning metrics-based quality evaluation of software components and component assemblies. Method: Comparison of several approaches available in the literature, using a framework comprising several aspects, such as scope, intent, definition technique, and maturity. Results: The identification of common shortcomings of current approaches, such as ambiguity in definition, lack of adequacy of the specifying formalisms and insufficient validation of current quality models and metrics for software components. Conclusions: Quality evaluation of components and component-based infrastructures presents new challenges to the Experimental Software Engineering community.

  11. Visual-based simultaneous localization and mapping and global positioning system correction for geo-localization of a mobile robot

    OpenAIRE

    Berrabah, Sid Ahmed; Sahli, Hichem; Baudoin, Yvan

    2011-01-01

    This paper introduces an approach combining visual-based simultaneous localization and mapping (V-SLAM) and global positioning system (GPS) correction for accurate multi-sensor localization of an outdoor mobile robot in geo-referenced maps. The proposed framework combines two extended Kalman filters (EKF); the first one, referred to as the integration filter, is dedicated to the improvement of the GPS localization based on data from an inertial navigation system and wheels’ encode...

  12. Multidimensional catalogs for systematic exploration of component-based design spaces

    OpenAIRE

    López, Claudia; Astudillo, Hernán

    2006-01-01

    Most component-based approaches to elaborate software require complete and consistent descriptions of components, but in practical settings components information is incomplete, imprecise and changing, and requirements may be likewise. More realistically deployable are approaches that combine exploration of candidate architectures with their evaluation vis-a-vis requirements, and deal with the fuzzyness of available component information. This article presents an approach to systematic genera...

  13. A Component-Based Approach to Localization and Collision Avoidance for Mobile Multi-Agent Systems

    OpenAIRE

    Alriksson, Peter; Nordh, Jerker; Årzén, Karl-Erik; Bicchi, Antonio; Danesi, Alberto; Sciadi, Riccardo; Pallottino, Lucia

    2007-01-01

    In the RUNES project a disaster relief tunnel scenario is being developed in which mobile robots are used to restore the radio network connectivity in a stationary sensor network. A component-based software development approach has been adopted. Two components are described in this paper. A localization component that uses ultrasound and dead reckoning to decide the robot positions and a collision avoidance component that ensures that the robots do not collide with each other or with fixed ob...

  14. Simultaneous imaging using Si-PM-based PET and MRI for development of an integrated PET/MRI system

    International Nuclear Information System (INIS)

    The silicon photomultiplier (Si-PM) is a promising photo-detector for PET for use in magnetic resonance imaging (MRI) systems because it has high gain and is insensitive to static magnetic fields. Recently we developed a Si-PM-based depth-of-interaction PET system for small animals and performed simultaneous measurements by combining the Si-PM-based PET and the 0.15 T permanent MRI to test the interferences between the Si-PM-based PET and an MRI. When the Si-PM was inside the MRI and installed around the radio frequency (RF) coil of the MRI, significant noise from the RF sequence of the MRI was observed in the analog signals of the PET detectors. However, we did not observe any artifacts in the PET images; fluctuation increased in the count rate of the Si-PM-based PET system. On the MRI side, there was significant degradation of the signal-to-noise ratio (S/N) in the MRI images compared with those without PET. By applying noise reduction procedures, the degradation of the S/N was reduced. With this condition, simultaneous measurements of a rat brain using a Si-PM-based PET and an MRI were made with some degradation in the MRI images. We conclude that simultaneous measurements are possible using Si-PM-based PET and MRI. (note)

  15. Reconfigurable Component-based Middleware for Networked Embedded Systems

    OpenAIRE

    Costa, P.; Coulson, G.; Mascolo, C.; L. Mottola; G. Picco; Zachariadis, S.; , RUNES (Funder)

    2007-01-01

    Next generation embedded systems will be composed of large numbers of heterogeneous devices. These will typically be resource-constrained (such as sensor motes), will use different operating systems, and will be connected through different types of network interfaces. Additionally, they may be mobile and/or form ad-hoc networks with their peers, and will need to be adaptive to changing conditions based on context-awareness. Our focus in this paper is on the provision of a middleware framework...

  16. Supporting software evolution in component-based FOSS systems.

    OpenAIRE

    Di Cosmo R.; Di Ruscio D.; Pelliccione P.; Pierantonio A.; Zacchiroli S.

    2011-01-01

    FOSS (Free and Open Source Software) systems present interesting challenges in system evolution. On one hand, most FOSS systems are based on very fine-grained units of software deployment-called packages-which promote system evolution; on the other hand, FOSS systems are among the largest software systems known and require sophisticated static and dynamic conditions to be verified, in order to successfully deploy upgrades on users' machines. The slightest error in one of these conditions can ...

  17. Research on the Component-based Software Architecture

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    Computer software has been becoming more and more c om plex with the development of hardware. Thus, how to efficiently develop extensib le, maintainable and adaptable software occurs to be an urgent problem. The comp onent-based software development technique is a better method to solve the prob lem. In this paper, we first discuss the concept, description method and some fa miliar styles of software architecture, and then analyze the merits of using the software architecture to guide the software developm...

  18. Identification of Analytical Factors Affecting Complex Proteomics Profiles Acquired in a Factorial Design Study with Analysis of Variance: Simultaneous Component Analysis.

    Science.gov (United States)

    Mitra, Vikram; Govorukhina, Natalia; Zwanenburg, Gooitzen; Hoefsloot, Huub; Westra, Inge; Smilde, Age; Reijmers, Theo; van der Zee, Ate G J; Suits, Frank; Bischoff, Rainer; Horvatovich, Péter

    2016-04-19

    Complex shotgun proteomics peptide profiles obtained in quantitative differential protein expression studies, such as in biomarker discovery, may be affected by multiple experimental factors. These preanalytical factors may affect the measured protein abundances which in turn influence the outcome of the associated statistical analysis and validation. It is therefore important to determine which factors influence the abundance of peptides in a complex proteomics experiment and to identify those peptides that are most influenced by these factors. In the current study we analyzed depleted human serum samples to evaluate experimental factors that may influence the resulting peptide profile such as the residence time in the autosampler at 4 °C, stopping or not stopping the trypsin digestion with acid, the type of blood collection tube, different hemolysis levels, differences in clotting times, the number of freeze-thaw cycles, and different trypsin/protein ratios. To this end we used a two-level fractional factorial design of resolution IV (2(IV)(7-3)). The design required analysis of 16 samples in which the main effects were not confounded by two-factor interactions. Data preprocessing using the Threshold Avoiding Proteomics Pipeline (Suits, F.; Hoekman, B.; Rosenling, T.; Bischoff, R.; Horvatovich, P. Anal. Chem. 2011, 83, 7786-7794, ref 1) produced a data-matrix containing quantitative information on 2,559 peaks. The intensity of the peaks was log-transformed, and peaks having intensities of a low t-test significance (p-value > 0.05) and a low absolute fold ratio (<2) between the two levels of each factor were removed. The remaining peaks were subjected to analysis of variance (ANOVA)-simultaneous component analysis (ASCA). Permutation tests were used to identify which of the preanalytical factors influenced the abundance of the measured peptides most significantly. The most important preanalytical factors affecting peptide intensity were (1) the hemolysis level

  19. A Component Based Noise Correction Method (CompCor) for BOLD and Perfusion Based fMRI

    OpenAIRE

    Behzadi, Yashar; Restom, Khaled; Liau, Joy; Thomas T. Liu

    2007-01-01

    A component based method (CompCor) for the reduction of noise in both blood oxygenation level dependent (BOLD) and perfusion-based functional magnetic resonance imaging (fMRI) data is presented. In the proposed method, significant principal components are derived from noise regions-of-interest (ROI) in which the time series data are unlikely to be modulated by neural activity. These components are then included as nuisance parameters within general linear models for BOLD and perfusion-based f...

  20. A New Method for Sex Determination Based on Detection of SRY, STS and Amelogenin Gene Regions with Simultaneous Amplification of Their Homologous Sequences by a Multiplex PCR

    Directory of Open Access Journals (Sweden)

    Morikawa,Toshio

    2011-04-01

    Full Text Available We have developed a new method for sex determination based on simultaneous detection of the SRY (sex-determining region Y, STS (steroid sulfatase and amelogenin (AMELX and AMELY gene regions and their homologous sequences. The sex of 246 blood samples was correctly determined by this method. An AMELY-deleted male sample, which would have been erroneously considered female based solely on analysis of the amelogenin locus, was successfully identified as male by the present method. The detection limit of this method was 63 pg of genomic DNA, and the male DNA component could be detected from mixed samples having a male:female ratio as low as 1:10. This method was useful for degraded DNA and possessed the human specificity. Practical application to 35 autopsy cases is described.

  1. A model based diagnostic system for the identification of malfunctioning components using a constraint propagation paradigm

    International Nuclear Information System (INIS)

    A commonly recognized failing of traditional rule-based diagnostic expert systems is the inability to recognize problems outside the range of expertise. In turn, the capability of such expert systems is limited to well-known problems. Contrary to the traditional approach, a model-based system has a potential to diagnose unexpected malfunctions. In this paper, a model-based diagnostic system for the isolation of malfunctioning components using constraint propagation paradigm - the CBDS, the Constraint Based Diagnostic System - is presented. The CBDS consists of (1) symbolic representation of plant model as a knowledge base, and (2) constraint propagation paradigm as a diagnostic inference engine. In the CBDS, a plant model contains information about intended behaviour of components that are organized in a component model library, as well as information about how the components are interconnected. As a diagnostic inference engine, the CBDS uses the general idea of model-based diagnosis to identify malfunctioning components. (author). 15 refs, 8 figs

  2. Inverse field-based approach for simultaneous B1 mapping at high fields - A phantom based study

    Science.gov (United States)

    Jin, Jin; Liu, Feng; Zuo, Zhentao; Xue, Rong; Li, Mingyan; Li, Yu; Weber, Ewald; Crozier, Stuart

    2012-04-01

    Based on computational electromagnetics and multi-level optimization, an inverse approach of attaining accurate mapping of both transmit and receive sensitivity of radiofrequency coils is presented. This paper extends our previous study of inverse methods of receptivity mapping at low fields, to allow accurate mapping of RF magnetic fields (B1) for high-field applications. Accurate receive sensitivity mapping is essential to image domain parallel imaging methods, such as sensitivity encoding (SENSE), to reconstruct high quality images. Accurate transmit sensitivity mapping will facilitate RF-shimming and parallel transmission techniques that directly address the RF inhomogeneity issue, arguably the most challenging issue of high-field magnetic resonance imaging (MRI). The inverse field-based approach proposed herein is based on computational electromagnetics and iterative optimization. It fits an experimental image to the numerically calculated signal intensity by iteratively optimizing the coil-subject geometry to better resemble the experiments. Accurate transmit and receive sensitivities are derived as intermediate results of the optimization process. The method is validated by imaging studies using homogeneous saline phantom at 7T. A simulation study at 300 MHz demonstrates that the proposed method is able to obtain receptivity mapping with errors an order of magnitude less than that of the conventional method. The more accurate receptivity mapping and simultaneously obtained transmit sensitivity mapping could enable artefact-reduced and intensity-corrected image reconstructions. It is hoped that by providing an approach to the accurate mapping of both transmit and receive sensitivity, the proposed method will facilitate a range of applications in high-field MRI and parallel imaging.

  3. Low-power adaptive filter based on RNS components

    DEFF Research Database (Denmark)

    Bernocchi, Gian Luca; Cardarilli, Gian Carlo; Del Re, Andrea;

    2007-01-01

    least mean squares (LMS) algorithm, is allowed. Previous work showed that the use of the residue number system (RNS) for the variable FIR filter grants advantages both in area and power consumption. On the other hand, the use of a binary serial implementation of the adaptation algorithm eliminates the......In this paper a low-power implementation of an adaptive FIR filter is presented. The filter is designed to meet the constraints of channel equalization for fixed wireless communications that typically requires a large number of taps, but a serial updating of the filter coefficients, based on the...

  4. Short-course PET based simultaneous integrated boost for locally advanced cervical cancer

    International Nuclear Information System (INIS)

    Patients with large, locally advanced cervical cancers (LACC) are challenging to treat. The purpose of this work is to use 18F-FDG PET as planning basis for a short-course simultaneous integrated boost (SIB) in external beam radiotherapy of LACC in order to increase tumour shrinkage and likelihood of local control. Ten previously treated patients with LACC were included, all with pre-treatment FDG PET/CT images available. The FDG avid tumour volume, MTV50, was dose escalated in silico by intensity modulated radiotherapy from the standard 1.8 Gy to 2.8 Gy per fraction for the 10 first fractions; a short-course SIB. For the 18 remaining external fractions, standard pelvic treatment followed to total PTV and MTV50 doses of 50.4 Gy and 60.4 Gy, respectively. Photon and proton treatment were considered using volumetric modulated arc treatment (VMAT) and intensity-modulated proton therapy (IMPT), respectively. All treatment plans were generated using the Eclipse Treatment Planning System (TPS). The impact of tumour shrinkage on doses to organs at risk (OARs) was simulated in the TPS for the SIB plans. Dose escalation could be implemented using both VMAT and IMPT, with a D98 ≥ 95 % for MTV50 being achieved in all cases. The sum of the 10 fraction short-course SIB and subsequent 18 standard fractions was compared to the standard non-SIB approach by dose volume histogram (DVH) analysis. Only marginal increase of dose to OARs was found for both modalities and a small further increase estimated from tumour shrinkage. Most DVH parameters showed a mean difference below 2 %. IMPT had, compared to VMAT, reduced OAR doses in the low to intermediate dose range, but showed no additional advantage in dose escalation. Planning of dose escalation based on a FDG avid boost volume was here demonstrated feasible. The concept may allow time for enhanced tumour shrinkage before brachytherapy. Thus, this strategy may prove clinically valuable, in particular for patients with large tumours

  5. FPGA-based RF interference reduction techniques for simultaneous PET–MRI

    Science.gov (United States)

    Gebhardt, P.; Wehner, J.; Weissler, B.; Botnar, R.; Marsden, P. K.; Schulz, V.

    2016-05-01

    The combination of positron emission tomography (PET) and magnetic resonance imaging (MRI) as a multi-modal imaging technique is considered very promising and powerful with regard to in vivo disease progression examination, therapy response monitoring and drug development. However, PET–MRI system design enabling simultaneous operation with unaffected intrinsic performance of both modalities is challenging. As one of the major issues, both the PET detectors and the MRI radio-frequency (RF) subsystem are exposed to electromagnetic (EM) interference, which may lead to PET and MRI signal-to-noise ratio (SNR) deteriorations. Early digitization of electronic PET signals within the MRI bore helps to preserve PET SNR, but occurs at the expense of increased amount of PET electronics inside the MRI and associated RF field emissions. This raises the likelihood of PET-related MRI interference by coupling into the MRI RF coil unwanted spurious signals considered as RF noise, as it degrades MRI SNR and results in MR image artefacts. RF shielding of PET detectors is a commonly used technique to reduce PET-related RF interferences, but can introduce eddy-current-related MRI disturbances and hinder the highest system integration. In this paper, we present RF interference reduction methods which rely on EM field coupling–decoupling principles of RF receive coils rather than suppressing emitted fields. By modifying clock frequencies and changing clock phase relations of digital circuits, the resulting RF field emission is optimised with regard to a lower field coupling into the MRI RF coil, thereby increasing the RF silence of PET detectors. Our methods are demonstrated by performing FPGA-based clock frequency and phase shifting of digital silicon photo-multipliers (dSiPMs) used in the PET modules of our MR-compatible Hyperion II D PET insert. We present simulations and magnetic-field map scans visualising the impact of altered clock phase pattern on the spatial RF field

  6. FPGA-based RF interference reduction techniques for simultaneous PET-MRI.

    Science.gov (United States)

    Gebhardt, P; Wehner, J; Weissler, B; Botnar, R; Marsden, P K; Schulz, V

    2016-05-01

    The combination of positron emission tomography (PET) and magnetic resonance imaging (MRI) as a multi-modal imaging technique is considered very promising and powerful with regard to in vivo disease progression examination, therapy response monitoring and drug development. However, PET-MRI system design enabling simultaneous operation with unaffected intrinsic performance of both modalities is challenging. As one of the major issues, both the PET detectors and the MRI radio-frequency (RF) subsystem are exposed to electromagnetic (EM) interference, which may lead to PET and MRI signal-to-noise ratio (SNR) deteriorations. Early digitization of electronic PET signals within the MRI bore helps to preserve PET SNR, but occurs at the expense of increased amount of PET electronics inside the MRI and associated RF field emissions. This raises the likelihood of PET-related MRI interference by coupling into the MRI RF coil unwanted spurious signals considered as RF noise, as it degrades MRI SNR and results in MR image artefacts. RF shielding of PET detectors is a commonly used technique to reduce PET-related RF interferences, but can introduce eddy-current-related MRI disturbances and hinder the highest system integration. In this paper, we present RF interference reduction methods which rely on EM field coupling-decoupling principles of RF receive coils rather than suppressing emitted fields. By modifying clock frequencies and changing clock phase relations of digital circuits, the resulting RF field emission is optimised with regard to a lower field coupling into the MRI RF coil, thereby increasing the RF silence of PET detectors. Our methods are demonstrated by performing FPGA-based clock frequency and phase shifting of digital silicon photo-multipliers (dSiPMs) used in the PET modules of our MR-compatible Hyperion II (D) PET insert. We present simulations and magnetic-field map scans visualising the impact of altered clock phase pattern on the spatial RF field

  7. A Component-Based Software Configuration Management Model and Its Supporting System

    Institute of Scientific and Technical Information of China (English)

    梅宏; 张路; 杨芙清

    2002-01-01

    Software configuration management (SCM) is an important key technology in software development. Component-based software development (CBSD) is an emerging paradigm in software development. However, to apply CBSD effectively in real world practice,supporting SCM in CBSD needs to be further investigated. In this paper, the objects that need to be managed in CBSD is analyzed and a component-based SCM model is presented. In this model, components, as the integral logical constituents in a system, are managed as the basic configuration items in SCM, and the relationships between/among components are defined and maintained. Based on this model, a configuration management system is implemented.

  8. High performance coated board inspection system based on commercial components

    CERN Document Server

    Barjaktarovic, M; Radunovic, J

    2007-01-01

    This paper presents a vision system for defect (fault) detection on a coated board developed using three industrial firewire cameras and a PC. Application for image processing and system control was realized with the LabView software package. Software for defect detection is based on a variation of the image segmentation algorithm. Standard steps in image segmentation are modified to match the characteristics of defects. Software optimization was accomplished using SIMD (Single Instruction Multiple Data) technology available in the Intel Pentium 4 processors that provided real time inspection capability. System provides benefits such as: improvement in production process, higher quality of delivered coated board and reduction of waste. This was proven during successful exploitation of the system for more than a year.

  9. Methods and software for the development of systems' logical components with turn-based strategy

    International Nuclear Information System (INIS)

    The author investigates methods of elaborating rules and quality assurance methods for logical components, offers methods for developing systems' logical components with turn-based strategy, presents a new language for describing rules and systems with turn-based strategy. Formal specification, that defines the syntax and denotational semantics of the language, is developed

  10. Research on development model of nuclear component based on life cycle management

    International Nuclear Information System (INIS)

    At present the development process of nuclear component, even nuclear component itself, is more and more supported by computer technology. This increasing utilization of the computer and software has led to the faster development of nuclear technology on one hand and also brought new problems on the other hand. Especially, the combination of hardware, software and humans has increased nuclear component system complexities to an unprecedented level. To solve this problem, Life Cycle Management technology is adopted in nuclear component system. Hence, an intensive discussion on the development process of a nuclear component is proposed. According to the characteristics of the nuclear component development, such as the complexities and strict safety requirements of the nuclear components, long-term design period, changeable design specifications and requirements, high capital investment, and satisfaction for engineering codes/standards, the development life-cycle model of nuclear component is presented. The development life-cycle model is classified at three levels, namely, component level development life-cycle, sub-component development life-cycle and component level verification/certification life-cycle. The purposes and outcomes of development processes are stated in detailed. A process framework for nuclear component based on system engineering and development environment of nuclear component is discussed for future research work. (authors)

  11. Condition Based Monitoring of Gas Turbine Combustion Components

    Energy Technology Data Exchange (ETDEWEB)

    Ulerich, Nancy; Kidane, Getnet; Spiegelberg, Christine; Tevs, Nikolai

    2012-09-30

    The objective of this program is to develop sensors that allow condition based monitoring of critical combustion parts of gas turbines. Siemens teamed with innovative, small companies that were developing sensor concepts that could monitor wearing and cracking of hot turbine parts. A magnetic crack monitoring sensor concept developed by JENTEK Sensors, Inc. was evaluated in laboratory tests. Designs for engine application were evaluated. The inability to develop a robust lead wire to transmit the signal long distances resulted in a discontinuation of this concept. An optical wear sensor concept proposed by K Sciences GP, LLC was tested in proof-of concept testing. The sensor concept depended, however, on optical fiber tips wearing with the loaded part. The fiber tip wear resulted in too much optical input variability; the sensor could not provide adequate stability for measurement. Siemens developed an alternative optical wear sensor approach that used a commercial PHILTEC, Inc. optical gap sensor with an optical spacer to remove fibers from the wearing surface. The gap sensor measured the length of the wearing spacer to follow loaded part wear. This optical wear sensor was developed to a Technology Readiness Level (TRL) of 5. It was validated in lab tests and installed on a floating transition seal in an F-Class gas turbine. Laboratory tests indicate that the concept can measure wear on loaded parts at temperatures up to 800{degrees}C with uncertainty of < 0.3 mm. Testing in an F-Class engine installation showed that the optical spacer wore with the wearing part. The electro-optics box located outside the engine enclosure survived the engine enclosure environment. The fiber optic cable and the optical spacer, however, both degraded after about 100 operating hours, impacting the signal analysis.

  12. A Simple Laser-Based Device for Simultaneous Microbial Culture and Absorbance Measurement

    OpenAIRE

    Abrevaya, X. C.; Cortón, E.; Areso, O.; Mauas, P. J. D

    2012-01-01

    In this work we present a device specifically designed to study microbial growth with several applications related to environmental microbiology and other areas of research as astrobiology. The Automated Measuring and Cultivation device (AMC-d) enables semi-continuous absorbance measurements directly during cultivation. It can measure simultaneously up to 16 samples. Growth curves using low and fast growing microorganism were plotted, including: Escherichia coli, and Haloferax volcanii, an ha...

  13. Prototype Development of an Electrical Impedance Based Simultaneous Respiratory and Cardiac Monitoring System for Gated Radiotherapy

    OpenAIRE

    Kohli, Kirpal; Liu, Jeff; Schellenberg, Devin; Karvat, Anand; Parameswaran, Ash; Grewal, Parvind; Thomas, Steven

    2014-01-01

    Background In radiotherapy, temporary translocations of the internal organs and tumor induced by respiratory and cardiac activities can undesirably lead to significantly lower radiation dose on the targeted tumor but more harmful radiation on surrounding healthy tissues. Respiratory and cardiac gated radiotherapy offers a potential solution for the treatment of tumors located in the upper thorax. The present study focuses on the design and development of simultaneous acquisition of respira...

  14. A Simple Laser-Based Device for Simultaneous Microbial Culture and Absorbance Measurement

    CERN Document Server

    Abrevaya, X C; Areso, O; Mauas, P J D

    2012-01-01

    In this work we present a device specifically designed to study microbial growth with several applications related to environmental microbiology and other areas of research as astrobiology. The Automated Measuring and Cultivation device (AMC-d) enables semi-continuous absorbance measurements directly during cultivation. It can measure simultaneously up to 16 samples. Growth curves using low and fast growing microorganism were plotted, including: Escherichia coli, and Haloferax volcanii, an halophilic archaeon.

  15. New approach in multipurpose optical diagnostics: fluorescence based assay for simultaneous determination of physicochemical parameters

    OpenAIRE

    Moczko, Ewa

    2009-01-01

    The development of sensors assays for comprehensive characterisation of biological samples and effective minimal-invasive diagnostics is highly prioritised. Last decade this research area has been actively developing due to possibility of simultaneous, real- time, in vivo detection and monitoring of diverse physicochemical parameters and analytes. The new approach which has been introduced in this thesis was to develop and examine an optical diagnostic assay consisting of a ...

  16. Simultaneous measurement of flow and temperature fields based on color image information

    International Nuclear Information System (INIS)

    An image processing measurement system was developed to obtain simultaneously both the velocity and temperature distributions from the images of dynamic behavior of the thermal stratification, visualized by using liquid crystal tracers. The correlation method was used to obtain the velocity vector distributions. In addition, an algorism for color discrimination using RGB notation system was applied to the color images to obtain the temperature distributions. Consequently, the efficiency of this system was confirmed. (author)

  17. Identification and Simultaneous Determination of Twelve Active Components in the Methanol Extract of Traditional Medicine Weichang’an Pill by HPLC-DAD-ESI-MS/MS

    OpenAIRE

    Zhang, Jingze; Gao, Wenyuan; Liu, Zhen; Zhang, Zhidan

    2013-01-01

    Weichang’an (WCA) pill, a traditional Chinese patent medicine consisting of ten Chinese medicinal herbs, has been used to treat irritable bowel syndrome and functional dyspepsia for several decades. In this study, twelve bioactive constituents in the methanol extract of WCA were accurately identified since MS/MS fragmentation behavior of the references and the standards by using HPLC-DAD-ESI-MS/MS analysis and a reliable and accurate method for the simultaneous determination was developed. Tw...

  18. Multi-color quantum dot-based fluorescence immunoassay array for simultaneous visual detection of multiple antibiotic residues in milk.

    Science.gov (United States)

    Song, Erqun; Yu, Mengqun; Wang, Yunyun; Hu, Weihua; Cheng, Dan; Swihart, Mark T; Song, Yang

    2015-10-15

    Antibiotic residues, which are among the most common contaminants in animal-based food products such as milk, have become a significant public health concern. Here, we combine a multicolor quantum dot (QD)-based immunofluorescence assay and an array analysis method to achieve simultaneous, sensitive and visual detection of streptomycin (SM), tetracycline (TC), and penicillin G (PC-G) in milk. Antibodies (Abs) for SM, TC and PC-G were conjugated to QDs with different emission wavelengths (QD 520 nm, QD 565 nm and QD 610 nm) to serve as detection probes (QD-Ab). Then a direct competitive fluorescent immunoassay was performed in antigen-coated microtiter plate wells for simultaneous qualitative and quantitative detection of SM, TC, and PC-G residues, based on fluorescence of the QD-Ab probes. The linear ranges for SM, TC and PC-G were 0.01-25 ng/mL, 0.01-25 ng/mL and 0.01-10 ng/mL, respectively, with detection limit of 5 pg/mL for each of them. Based on fluorescence of the QD-Ab probes, residues of the three antibiotics were determined visually and simultaneously. Compared with a commercial enzyme-linked immunosorbent assay kit, our method could achieve simultaneous analysis of multiple target antibiotics in multiple samples in a single run (high-throughput analysis) and improved accuracy and sensitivity for analysis of residues of the three antibiotics in authentic milk samples. This new analytical tool can play an important role in ameliorating the negative impact of the residual antibiotics on human health and the ecosystem. PMID:26002016

  19. Model-Based Reactor Design in Free-Radical Polymerization with Simultaneous Long-Chain Branching and Scission

    OpenAIRE

    Hidetaka Tobita

    2015-01-01

    Polymers are the products of processes and their microstructure can be changed significantly by the reactor systems employed, especially for nonlinear polymers. The Monte Carlo simulation technique, based on the random sampling technique, is used to explore the effect of reactor types on the branched polymer structure, formed through free-radical polymerization with simultaneous long-chain branching and scission, as in the case of low-density polyethylene synthesis. As a simplified model for...

  20. Simultaneous detection of eight immunosuppressive chicken viruses using a GeXP analyser-based multiplex PCR assay

    OpenAIRE

    Zeng, Tingting; Xie, Zhixun; Xie, Liji; Deng, Xianwen; Xie, Zhiqin; Luo, Sisi; Huang, Li; Huang, Jiaoling

    2015-01-01

    Background Immunosuppressive viruses are frequently found as co-infections in the chicken industry, potentially causing serious economic losses. Because traditional molecular biology methods have limited detection ability, a rapid, high-throughput method for the differential diagnosis of these viruses is needed. The objective of this study is to develop a GenomeLab Gene Expression Profiler Analyser-based multiplex PCR method (GeXP-multiplex PCR) for simultaneous detection of eight immunosuppr...

  1. Case-Based Reasoning Topological Complexity Calculation of Design for Components

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    Directly calculating the topological and geometric complexity from the STEP (standard for the exchange of product model data, ISO 10303) file is a huge task. So, a case-based reasoning approach is presented, which is based on the similarity between the new component and the old one, to calculate the topological and geometric complexity of new components. In order to index, retrieve in historical component database, a new way of component representation is brought forth. And then an algorithm is given to extract topological graph from its STEP files. A mathematical model, which describes how to compare the similarity, is discussed. Finally, an example is given to show the result.

  2. Performance-based seismic design of nonstructural building components: The next frontier of earthquake engineering

    Science.gov (United States)

    Filiatrault, Andre; Sullivan, Timothy

    2014-08-01

    With the development and implementation of performance-based earthquake engineering, harmonization of performance levels between structural and nonstructural components becomes vital. Even if the structural components of a building achieve a continuous or immediate occupancy performance level after a seismic event, failure of architectural, mechanical or electrical components can lower the performance level of the entire building system. This reduction in performance caused by the vulnerability of nonstructural components has been observed during recent earthquakes worldwide. Moreover, nonstructural damage has limited the functionality of critical facilities, such as hospitals, following major seismic events. The investment in nonstructural components and building contents is far greater than that of structural components and framing. Therefore, it is not surprising that in many past earthquakes, losses from damage to nonstructural components have exceeded losses from structural damage. Furthermore, the failure of nonstructural components can become a safety hazard or can hamper the safe movement of occupants evacuating buildings, or of rescue workers entering buildings. In comparison to structural components and systems, there is relatively limited information on the seismic design of nonstructural components. Basic research work in this area has been sparse, and the available codes and guidelines are usually, for the most part, based on past experiences, engineering judgment and intuition, rather than on objective experimental and analytical results. Often, design engineers are forced to start almost from square one after each earthquake event: to observe what went wrong and to try to prevent repetitions. This is a consequence of the empirical nature of current seismic regulations and guidelines for nonstructural components. This review paper summarizes current knowledge on the seismic design and analysis of nonstructural building components, identifying major

  3. Research and Implementation of Distributed Virtual Simulation Platform Based on Components

    Institute of Scientific and Technical Information of China (English)

    SUN Zhi-xin; WANG Ru-chuan; WANG Shao-di

    2004-01-01

    This paper proposes a combination of system's theoretic simulation methodology with the virtual reality technology as a basis for a component-based virtual simulation framework. The created universal framework can be used in different fields, such as drive training, airplane fighting training, and so on. The result of the synergism is a powerful component-based virtual simulation framework. After having briefly introduced the concepts and principles of the distributed component object, the paper describes a software development method based on components. Then a method of virtual simulation system modeling based on components is proposed, and the integrated framework supporting distributed virtual simulation and its key technologies are discussed at length. Our experiments indicate that the framework can be widely used in simulation fields such as arms antagonism, driving simulation and so on.

  4. A Component Based Heuristic Search method with Adaptive Perturbations for Hospital Personnel Scheduling

    CERN Document Server

    Li, Jingpeng; Burke, Edmund

    2008-01-01

    Nurse rostering is a complex scheduling problem that affects hospital personnel on a daily basis all over the world. This paper presents a new component-based approach with adaptive perturbations, for a nurse scheduling problem arising at a major UK hospital. The main idea behind this technique is to decompose a schedule into its components (i.e. the allocated shift pattern of each nurse), and then mimic a natural evolutionary process on these components to iteratively deliver better schedules. The worthiness of all components in the schedule has to be continuously demonstrated in order for them to remain there. This demonstration employs a dynamic evaluation function which evaluates how well each component contributes towards the final objective. Two perturbation steps are then applied: the first perturbation eliminates a number of components that are deemed not worthy to stay in the current schedule; the second perturbation may also throw out, with a low level of probability, some worthy components. The eli...

  5. Coupling non invasive and fast sampling of proteins from work of art surfaces to surface plasmon resonance biosensing: Differential and simultaneous detection of egg components for cultural heritage diagnosis and conservation.

    Science.gov (United States)

    Scarano, S; Carretti, E; Dei, L; Baglioni, P; Minunni, M

    2016-11-15

    Despite the wide application of surface plasmon resonance (SPR) to a broad area of interests, from environment to food analysis, from drug discovery to diagnostics, its exploitation in cultural heritage conservation is still unexplored. Water-based highly viscous polymeric dispersions (HVPD) composed by partially hydrolyzed polyvinyl acetate (PVA), borax, and water, were recently developed and successfully applied for the selective removal of surface degradation patinas (i.e. protein materials, natural resins etc.) from paintings of historical and artistic interest. This approach is here coupled for the first time to a SPR biosensor to simultaneously recognize albumen, yolk, or their mixtures in HVPD extracts. Ovalbumin and immunoglobulin Y are selected as analytes for egg white and yolk recognition, respectively. The biosensor was first characterized on standard analytes within the range 0-400mgL(-1) and then on fresh and dried egg albumen and yolk down to 2·10(^4) and 1·10(^5) dilution factors, respectively. Once optimized, the biosensor was combined to the HVPD application on simulated and real art samples for the evaluation of hen egg presence in the extract, i.e. albumen, yolk, or their co-presence in the matrix. For a contemporary 'sacred icon', realized by the traditional egg tempera procedure described by Cennino Cennini, the biosensor successfully distinguished different uses of egg components for the realization of painted and gilded areas, i.e. yolk and albumen, respectively. Finally, a XVIII century italian painting whose the realization technique is unknown, was tested confirming its egg tempera-based realization technique. PMID:27155120

  6. An XML-based Software Component Description Method for Program Mining

    Institute of Scientific and Technical Information of China (English)

    DOUYuhong; ZHANGYaoxue; LIXing

    2004-01-01

    As Internet is rapidly emerging as a largescale distributed computing platform, service customization and on-demand computing become an important research issue. Program mining is a novel computingparadigm to achieve this goal through dynamically component discovery and composition from on-line component repositories1. However, components in different repositories are described and classified in ad hoc ways, laying obstacles for the provision of program mining. In this paper, we present an XML-based component description method, depicting the static properties, interface specification and classification information of software components in a standard way. Based on this description, distributed component directory can be established to provide a wellorganized mining resource for program mining.

  7. Multianalyte Biosensors for the Simultaneous Determination of Glucose and Galactose Based on Thin Film Electrodes

    Institute of Scientific and Technical Information of China (English)

    Neng Qin JIA; Zong Rang ZHANG; Jiang Zhong ZHU; Guo Xiong ZHANG

    2004-01-01

    A multianalyte biosensor for the simultaneous determination of glucose and galactose was developed by immobilizing glucose oxidase (GOD) and galactose oxidase (GAO) on Nafion-modified thin film platinum disk electrodes. The dual Pt working electrodes with disk shape and the surrounding ring shaped counter electrode were fabricated by thin film technology, which were integrated onto the same microchip. The response of the designed biosensor for glucose and galactose were linear up to 6.0 mmol/L and 3.5 mmol/L with sensitivities of 0.3 (A/mmol/L and 0.12 μA/mmol/L, respectively. No cross-talking effect was observed.

  8. Location-based Relay Selection and Power Adaptation Enabling Simultaneous Transmissions

    DEFF Research Database (Denmark)

    Nielsen, Jimmy Jessen; Madsen, Tatiana Kozlova; Schwefel, Hans-Peter

    2010-01-01

    Relaying is a well known technique to extend coverage and improve conditions for nodes in the outer coverage region. In this paper we propose a relaying scheme that exploits the spatial separation of relay and destination pairs to improve throughput by allowing simultaneous transmissions. The...... takes into account MAC retransmissions and timing behavior of the IEEE 802.11 Distributed Coordination Function mode. Our results show an increase in throughput of approximately 20% is achievable for the proposed scheme when compared to two-hop relaying in the analyzed scenario....

  9. GPS-based ionospheric tomography with a constrained adaptive simultaneous algebraic reconstruction technique

    Indian Academy of Sciences (India)

    Wen Debao; Zhang Xiao; Tong Yangjin; Zhang Guangsheng; Zhang Min; Leng Rusong

    2015-03-01

    In this paper, a constrained adaptive simultaneous algebraic reconstruction technique (CASART) is presented to obtain high-quality reconstructions from insufficient projections. According to the continuous smoothness of the variations of ionospheric electron density (IED) among neighbouring voxels, Gauss weighted function is introduced to constrain the tomography system in the new method. It can resolve the dependence on the initial values for those voxels without any GPS rays traversing them. Numerical simulation scheme is devised to validate the feasibility of the new algorithm. Some comparisons are made to demonstrate the superiority of the new method. Finally, the actual GPS observations are applied to further validate the feasibility and superiority of the new algorithm.

  10. Production of L-Lactic Acid by Simultaneous Saccharification and Fermentation Using Unsterilized Defatted Rice Bran as a Carbon Source and Nutrient Components

    OpenAIRE

    Taniguchi, Masayuki; Hoshina, Masahiro; Tanabe, Suguru; HIGUCHI, Yuki; Sakai, Kenji; Ohtsubo, Sadami; Hoshino, Kazuhiro; Tanaka, Takaaki

    2005-01-01

    On the basis of growth rate at low pH, yield of lactic acid from glucose, and optical purity of lactic acid produced, we selected lactic acid bacteria favorable for production of optically pure L-lactic acid from defatted rice bran without sterilization. Of 21 strains tested, strains Nos. 13 and 16 produced 27-29kgm-3 of lactic acid with high optical purity from 100kgm-3 of unsterilized defatted rice bran in simultaneous saccharification and fermentation (SSF) with MRS medium at pH 4.5, a lev...

  11. Methods of Si based ceramic components volatilization control in a gas turbine engine

    Energy Technology Data Exchange (ETDEWEB)

    Garcia-Crespo, Andres Jose; Delvaux, John; Dion Ouellet, Noemie

    2016-09-06

    A method of controlling volatilization of silicon based components in a gas turbine engine includes measuring, estimating and/or predicting a variable related to operation of the gas turbine engine; correlating the variable to determine an amount of silicon to control volatilization of the silicon based components in the gas turbine engine; and injecting silicon into the gas turbine engine to control volatilization of the silicon based components. A gas turbine with a compressor, combustion system, turbine section and silicon injection system may be controlled by a controller that implements the control method.

  12. Seismic Response of Base-Isolated Structures under Multi-component Ground Motion Excitation

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    An analysis of a base-isolated structure for multi-component random ground motion is presented. The mean square response of the system is obtained under different parametric variations. The effectiveness of main parameters and the torsional component during an earthquake is quantified with the help of the response ratio and the root mean square response with and without base isolation. It is observed that the base isolation has considerable influence on the response and the effect of the torsional component is not ignored.

  13. An ontology for component-based models of water resource systems

    Science.gov (United States)

    Elag, Mostafa; Goodall, Jonathan L.

    2013-08-01

    Component-based modeling is an approach for simulating water resource systems where a model is composed of a set of components, each with a defined modeling objective, interlinked through data exchanges. Component-based modeling frameworks are used within the hydrologic, atmospheric, and earth surface dynamics modeling communities. While these efforts have been advancing, it has become clear that the water resources modeling community in particular, and arguably the larger earth science modeling community as well, faces a challenge of fully and precisely defining the metadata for model components. The lack of a unified framework for model component metadata limits interoperability between modeling communities and the reuse of models across modeling frameworks due to ambiguity about the model and its capabilities. To address this need, we propose an ontology for water resources model components that describes core concepts and relationships using the Web Ontology Language (OWL). The ontology that we present, which is termed the Water Resources Component (WRC) ontology, is meant to serve as a starting point that can be refined over time through engagement by the larger community until a robust knowledge framework for water resource model components is achieved. This paper presents the methodology used to arrive at the WRC ontology, the WRC ontology itself, and examples of how the ontology can aid in component-based water resources modeling by (i) assisting in identifying relevant models, (ii) encouraging proper model coupling, and (iii) facilitating interoperability across earth science modeling frameworks.

  14. A Metadata Model Based on Coupling Testing Information to Increase Testability of Component

    Institute of Scientific and Technical Information of China (English)

    MA Liang-li; GUO Fu-liang; WU Zhao-hui

    2008-01-01

    A software component must be tested every time it is reused in order to assure quality of component itself and system in which it is to be integrated. So how to increase testability of component has become a key technology in the software engineering community. Here a method is introduced to increase component testability. And meanings of component testability and relative effective ways to increase testability are summarized. Then definitions of component coupling testing criterion, DU-I (Definition-Use Information) and OP-Vs (Observation-Point Values) are given. Base on these, a definition-use table is introduced, which includes DU-A and OP-Vs item, to help component testers to understand and observe interior details about component under test better. Then a framework of testable component based on above DU-table is given. These facilities provide ways to detect errors, observe state variables by observation-points based monitor mechanism. Moreover, above methods are applied to our application developed by ourselves before, and some test cases are generated. Then our method is compared with Orso method and Kan method using the same example, presenting the comparison results. The results illustrate the validity of our method, effectively generating test cases and killing more mutants.

  15. Simultaneous bioreduction of nitrate and chromate using sulfur-based mixotrophic denitrification process

    International Nuclear Information System (INIS)

    Highlights: • Simultaneous heterotrophic and autotrophic denitrification was stimulated. • Simultaneous bioreduction of nitrate and chromate was achieved. • Total chromium decreased 3−–N and Cr(VI) concentrations of 75 mg/L and 10 mg/L, respectively, and 3.7 h HRT. Maximum denitrification rate was 0.5 g NO3−–N/(L.d) when the bioreactor was fed with 75 mg/L NO3−–N, 150 mg/L methanol and 10 mg/L Cr(VI). The share of autotrophic denitrification was between 12% and 50% depending on HRT, C/N ratio and Cr(VI) concentration. Effluent total chromium was below 50 μg/L provided that influent Cr(VI) concentration was equal or below 5 mg/L. DGGE results showed stable microbial community throughout the operation and the presence of sulfur oxidizing denitrifying bacteria (Thiobacillus denitrificans) and Cr(VI) reducing bacteria (Exiguobacterium spp.) in the column bed

  16. Electrochemical immunosensor for simultaneous detection of multiplex cancer biomarkers based on graphene nanocomposites.

    Science.gov (United States)

    Chen, Xia; Jia, Xinle; Han, Jingman; Ma, Jie; Ma, Zhanfang

    2013-12-15

    In this work, a sandwich-format electrochemical immunosensor for simultaneous determination of carcinoembryonic antigen (CEA) and alpha-fetoprotein (AFP) was fabricated using biofunctional carboxyl graphene nanosheets (CGS) as immunosensing probes, which were fabricated by means of immobilization of toluidine blue (TB) and labeled anti-CEA (Ab2,1), Prussian blue (PB) and anti-AFP (Ab2,2) successively on CGS. The capture anti-CEA (Ab1,1) and anti-AFP (Ab1,2) were immobilized onto the chitosan-Au nanoparticles (CHIT-AuNPs) modified electrode through 1-(3-dimethylaminopropyl)-3-ethylcarbodiimide hydrochloride and N-hydroxy succinimide (EDC/NHS). Experimental results revealed that this sandwich-type immunoassay enabled simultaneous detection of CEA and AFP with linear range of 0.5-60 ng mL(-1) for both analytes. The detection limit was 0.1 ng mL(-1) for CEA and 0.05 ng mL(-1) for AFP (S/N=3). The assay results of serum samples with the proposed method were in a good agreement with the reference values from the standard ELISA method. And the negligible cross-reactivity between the two analytes allows it to possess potential promise in clinical diagnosis. PMID:23891798

  17. Simultaneous measurement of refractive index and temperature based on asymmetric structures modal interference

    Science.gov (United States)

    Wang, Huihao; Meng, Hongyun; Xiong, Rui; Wang, Qinghao; Huang, Ben; Zhang, Xing; Yu, Wei; Tan, Chunhua; Huang, Xuguang

    2016-04-01

    An in-line fiber sensor for simultaneous measurement of refractive index (RI) and temperature is proposed and demonstrated. The sensor head is composed of an asymmetric Mach-Zehnder interferometer (MZI), which is combining the single mode-multimode-single mode (SMS) fiber structure and a peanut-shape structure. The transmission dips of the sensor will shift as the ambient RI or temperature variation due to the phase changing. The different wavelength transmission dips formed by the cladding modes interfering with the core mode have different sensitivity responses, so the simultaneous measurement of the RI and temperature can be achieved by monitoring the wavelength shifts of the two transmission dips. The experimental results show that the sensing sensitivities of RI and temperature are -86.7434 nm/RIU and 0.0590 nm/°C in the RI range from 1.3105 to 1.3517 and temperature range from 25 °C to 85 °C, respectively. The novel sensor processes easy fabrication, low cost, and high sensitivity, making it offers high potential applications in physical, biological and chemical sensing.

  18. Gold Nanorods-Based Theranostics for Simultaneous Fluorescence/Two-Photon Luminescence Imaging and Synergistic Phototherapies

    Directory of Open Access Journals (Sweden)

    Shan Fang

    2016-01-01

    Full Text Available Gold nanorods (GNRs have shown great potential applications in cancer theranostics due to the unique phenomenon of surface plasmon resonance, which leads to strong electric fields on the surface and consequently enhances the absorption and scattering in the near-infrared (NIR region. Indocyanine green (ICG, an amphipathic dye, is not only an excellent NIR imaging agent but also an ideal light absorber for laser-mediated photodynamic and photothermal therapy. In this study, in order to integrate the merits of GNRs and ICG in biomedical applications, we developed ICG conjugated silica-coated GNRs (GNR@SiO2-ICG for cancer imaging and phototherapy. The covalent coupling strategy reduces the probability of leakage/desorption during the delivery. The as-prepared GNR@SiO2-ICG could serve as efficient probes to simultaneously enhance fluorescence (FL imaging and two-photon luminescence (TPL imaging. In vitro experiments indicated that A375 cells could be killed through synergistic phototherapies effect of GNRs and ICG using single wavelength continuous-wave laser irradiation. Our results indicated that the synthesized GNR@SiO2-ICG are effective for simultaneously enhancing FL/TPL imaging and synergistic phototherapies.

  19. Dual-particle imaging system based on simultaneous detection of photon and neutron collision events

    International Nuclear Information System (INIS)

    A dual-particle imaging (DPI) system capable of simultaneously detecting and imaging fast neutrons and photons has been designed and built. Imaging fast neutrons and photons simultaneously is particularly desirable for nuclear nonproliferation and/or safeguards applications because typical sources of interest (special nuclear material) emit both particle types. The DPI system consists of three detection planes: the first two planes consist of organic-liquid scintillators and the third plane consists of NaI(Tl) inorganic scintillators. Pulse shape discrimination technique(s) may be used for the liquid scintillators to differentiate neutron and photon pulses whereas the NaI(Tl) scintillators are highly insensitive to neutrons. A prototype DPI system was set up using a digital data acquisition system as a proof of concept. Initial measurements showed potential for use of the DPI system with special nuclear material. The DPI system has efficiencies of the order of 10−4 correlated counts per incident particles for both neutron and photon correlated counts, with simple-backprojection images displaying peaks within a few degrees of the source location. This uncertainty is expected to decrease with more extensive data interpretation

  20. Simultaneous detection of liquid level and refractive index with a long-period fiber grating based sensor device

    International Nuclear Information System (INIS)

    In this study, a long-period fiber grating (LPFG)-based optical fiber sensor device is proposed for simultaneous detection of liquid level and refractive index (RI). When part of the grating was submerged in an unknown liquid, the resonant wavelength of each cladding mode of the LPFG sensor varied linearly with the submerged length and nonlinearly with the RI of the liquid. By retaining the first-order (sensitivity) and second-order (cross sensitivity) terms of a Taylor expansion of the nonlinear relation, the changes in submerged length (or liquid level) and RI can be simultaneously evaluated from the changes in resonant wavelength of two cladding modes. The sensitivity coefficients to liquid level, RI, their cross effect and environmental effects were studied both analytically and experimentally. The maximum prediction error by the proposed evaluation algorithm was found to be 1 mm for liquid level and 0.005 for RI. (paper)

  1. A Study on Components of Internal Control-Based Administrative System in Secondary Schools

    Science.gov (United States)

    Montri, Paitoon; Sirisuth, Chaiyuth; Lammana, Preeda

    2015-01-01

    The aim of this study was to study the components of the internal control-based administrative system in secondary schools, and make a Confirmatory Factor Analysis (CFA) to confirm the goodness of fit of empirical data and component model that resulted from the CFA. The study consisted of three steps: 1) studying of principles, ideas, and theories…

  2. Simultaneous quantitative detection of multiple tumor markers with a rapid and sensitive multicolor quantum dots based immunochromatographic test strip.

    Science.gov (United States)

    Wang, Chunying; Hou, Fei; Ma, Yicai

    2015-06-15

    A novel multicolor quantum dots (QDs) based immunochromatographic test strip (ICTS) was developed for simultaneous quantitative detection of multiple tumor markers, by utilizing alpha fetoprotein (AFP) and carcinoembryonic antigen (CEA) as models. The immunosensor could realize simultaneous quantitative detection of tumor markers with only one test line and one control line on the nitrocellulose membrane (NC membrane) due to the introduction of multicolor QDs. In this method, a mixture of mouse anti-AFP McAb and mouse anti-CEA McAb was coated on NC membrane as test line and goat anti-mouse IgG antibody was coated as control line. Anti-AFP McAb-QDs546 conjugates and anti-CEA McAb-QDs620 conjugates were mixed and applied to the conjugate pad. Simultaneous quantitative detection of multiple tumor markers was achieved by detecting the fluorescence intensity of captured QDs labels on test line and control line using a test strip reader. Under the optimum conditions, AFP and CEA could be detected as low as 3 ng/mL and 2 ng/mL in 15 min with a sample volume of 80 μL, and no obvious cross-reactivity was observed. The immunosensor was validated with 130 clinical samples and in which it exhibited high sensitivity (93% for AFP and 87% for CEA) and specificity (94% for AFP and 97% for CEA). The immunosensor also demonstrated high recoveries (87.5-113% for AFP and 90-97.3% for CEA) and low relative standard deviations (RSDs) (2.8-6.2% for AFP and 4.9-9.6% for CEA) when testing spiked human serum. This novel multicolor QDs based ICTS provides an easy and rapid, simultaneous quantitative detecting strategy for point-of-care testing of tumor markers. PMID:25562743

  3. Intracellular self-assembly based multi-labeling of key viral components: Envelope, capsid and nucleic acids.

    Science.gov (United States)

    Wen, Li; Lin, Yi; Zhang, Zhi-Ling; Lu, Wen; Lv, Cheng; Chen, Zhi-Liang; Wang, Han-Zhong; Pang, Dai-Wen

    2016-08-01

    Envelope, capsid and nucleic acids are key viral components that are all involved in crucial events during virus infection. Thus simultaneous labeling of these key components is an indispensable prerequisite for monitoring comprehensive virus infection process and dissecting virus infection mechanism. Baculovirus was genetically tagged with biotin on its envelope protein GP64 and enhanced green fluorescent protein (EGFP) on its capsid protein VP39. Spodoptera frugiperda 9 (Sf9) cells were infected by the recombinant baculovirus and subsequently fed with streptavidin-conjugated quantum dots (SA-QDs) and cell-permeable nucleic acids dye SYTO 82. Just by genetic engineering and virus propagation, multi-labeling of envelope, capsid and nucleic acids was spontaneously accomplished during virus inherent self-assembly process, significantly simplifying the labeling process while maintaining virus infectivity. Intracellular dissociation and transportation of all the key viral components, which was barely reported previously, was real-time monitored based on the multi-labeling approach, offering opportunities for deeply understanding virus infection and developing anti-virus treatment. PMID:27209260

  4. NOVEL COMPONENT-BASED DEVELOPMENT MODEL FOR SIP-BASED MOBILE APPLICATION

    Directory of Open Access Journals (Sweden)

    Ahmed Barnawi

    2012-02-01

    Full Text Available Universities and Institutions these days’ deals with issues related to with assessment of large number ofstudents. Various evaluation methods have been adopted by examiners in different institutions to examiningthe ability of an individual, starting from manual means of using paper and pencil to electronic, from oralto written, practical to theoretical and many others.There is a need to expedite the process of examination in order to meet the increasing enrolment of studentsat the universities and institutes. Sip Based Mass Mobile Examination System (SiBMMES expedites theexamination process by automating various activities in an examination such as exam paper setting,Scheduling and allocating examination time and evaluation (auto-grading for objective questions etc.SiBMMES uses the IP Multimedia Subsystem (IMS that is an IP communications framework providing anenvironment for the rapid development of innovative and reusable services Session Initial Protocol (SIP isa signalling (request-response protocol for this architecture and it is used for establishing sessions in anIP network, making it an ideal candidate for supporting terminal mobility in the IMS to deliver the services,with the extended services available in IMS like open APIs, common network services, Quality of Services(QoS like multiple sessions per call, Push to Talk etc often requiring multiple types of media (includingvoice, video, pictures, and text. SiBMMES is an effective solution for mass education evaluation usingmobile and web technology.In this paper, a novel hybrid component based development (CBD model is proposed for SiBMMES. AComponent based Hybrid Model is selected to the fact that IMS takes the concept of layered architectureone step further by defining a horizontal architecture where service enablers and common functions can bereused for multiple applications. This novel model tackle a new domain for IT professionals, its ideal tostart developing services as a small

  5. Reliability and Dependability of Component-Based Software through reuse: An Analytical Study

    Directory of Open Access Journals (Sweden)

    Dr.Usman Ali Khan

    2015-06-01

    Full Text Available The use of software in business industry, defense, medical and research is increasing enormously. This significant increase has caused the developers to look for a flexible, timely, cost-efficient, trustworthy and dependable software development methodology. The kind of suppleness offered by the Component-Based Software Development (CBSD, and the opportunity of reducing costs and time through software reuse, has lead to an increased inclination towards component based development techniques. Reliability and dependability plays significant role in growth of software system, especially when the software development is component based. Reliability and dependability of complex information systems that are embedded in the infrastructure supporting advanced society has become a nationwide and worldwide concern of the highest priority. This paper addresses the key factors involved in enhancing the reliability and dependability in ComponentBased Software Development

  6. RF Front End Based on MEMS Components for Miniaturized Digital EVA Radio Project

    Data.gov (United States)

    National Aeronautics and Space Administration — In this SBIR project, AlphaSense, Inc. and the Carnegie Mellon University propose to develop a RF receiver front end based on CMOS-MEMS components for miniaturized...

  7. RF Front End Based on MEMS Components for Miniaturized Digital EVA Radio Project

    Data.gov (United States)

    National Aeronautics and Space Administration — In this proposal, AlphaSense, Inc. (AI) and the Carnegie Mellon University (CMU) detail the development of RF front end based on MEMS components for miniaturized...

  8. Model-Based Design Tools for Extending COTS Components To Extreme Environments Project

    Data.gov (United States)

    National Aeronautics and Space Administration — The innovation in this project is model-based design (MBD) tools for predicting the performance and useful life of commercial-off-the-shelf (COTS) components and...

  9. Simultaneous Distillation Extraction of Some Volatile Flavor Components from Pu-erh Tea Samples—Comparison with Steam Distillation-Liquid/Liquid Extraction and Soxhlet Extraction

    Directory of Open Access Journals (Sweden)

    Xungang Gu

    2009-01-01

    Full Text Available A simutaneous distillation extraction (SDE combined GC method was constructed for determination of volatile flavor components in Pu-erh tea samples. Dichloromethane and ethyl decylate was employed as organic phase in SDE and internal standard in determination, respectively. Weakly polar DB-5 column was used to separate the volatile flavor components in GC, 10 of the components were quantitatively analyzed, and further confirmed by GC-MS. The recovery covered from 66.4%–109%, and repeatability expressed as RSD was in range of 1.44%–12.6%. SDE was most suitable for the extraction of the anlytes by comparing with steam distillation-liquid/liquid extraction and Soxhlet extraction. Commercially available Pu-erh tea samples, including Pu-erh raw tea and ripe tea, were analyzed by the constructed method. the high-volatile components, such as benzyl alcohol, linalool oxide, and linalool, were greatly rich in Pu-erh raw teas, while the contents of 1,2,3-Trimethoxylbenzene and 1,2,4-Trimethoxylbenzene were much high in Pu-erh ripe teas.

  10. Simultaneous determination of seven bioactive components in Guizhi Fuling capsule by microwave-assisted extraction combined with ultra performance liquid chromatography tandem mass spectrometry.

    Science.gov (United States)

    Sui, Yang; Zhao, Long-Shan; Wang, Zhen-Zhong; Zhao, Yu-Tong; Xiao, Wei; Xiong, Zhi-Li

    2016-01-01

    A simple, rapid and reliable microwave-assisted extraction (MAE) combined with ultra performance liquid chromatography tandem mass spectrometry method was developed for simultaneous determination of the seven bioactive constituents in Guizhi Fuling capsule (GFC), namely gallic acid, amygdalin, albiflorin, paeoniflorin, paeonol, cinnamic acid and pachymic acid, respectively. The operation of MAE optimised through orthogonal array design experiment was performed at 80°C for 10 min with methanol-water (70:30, v/v) as the extracting solvent. The method was validated including intra- and inter-day precision, repeatability and stability, with relative standard deviation less than 3.9%, 3.3%, 4.4% and 3.1%, respectively. All analytes showed the good linearity (r >0.999), and their average recoveries varied between 98.2% and 101.2%. The results indicated that this method was simple, effective and suitable for the quality control of GFC. PMID:26189716

  11. Dynamic Maintenance and Evolution of Critical Components-Based Software Using Multi Agent Systems

    OpenAIRE

    Chouarfia Abdallah; Hafida Bouziane

    2011-01-01

    Component-based development has become a commonly used technique for building complex software systems by composing a set of existing components. In general adapting an application means stopping the application and restarting it after the adaptation. This approach is not suitable for a large classes of software systems in which continuous availability is a critical requirement, hence the need of adapting dynamically the application at runtime. This paper presents an architecture based approa...

  12. Power Transformer Differential Protection Based on Neural Network Principal Component Analysis, Harmonic Restraint and Park's Plots

    OpenAIRE

    Manoj Tripathy

    2012-01-01

    This paper describes a new approach for power transformer differential protection which is based on the wave-shape recognition technique. An algorithm based on neural network principal component analysis (NNPCA) with back-propagation learning is proposed for digital differential protection of power transformer. The principal component analysis is used to preprocess the data from power system in order to eliminate redundant information and enhance hidden pattern of differential current to disc...

  13. Mutual dependency grid for stakeholder mapping: a component-based approach to supply chain participant analysis

    OpenAIRE

    Pan, Yu-Chun; Tang, Yinshan; Gulliver, Stephen

    2013-01-01

    Stakeholder analysis plays a critical role in business analysis. However, the majority of the stakeholder identification and analysis methods focus on the activities and processes and ignore the artefacts being processed by human beings. By focusing on the outputs of the organisation, an artefact-centric view helps create a network of artefacts, and a component-based structure of the organisation and its supply chain participants. Since the relationship is based on the components, i.e. after ...

  14. Data base formation for important components of reactor TRIGA MARK II

    International Nuclear Information System (INIS)

    The paper represents specific data base formation for reactor TRIGA MARK II in Podgorica. Reactor operation data from year 1985 to 1990 were collected. Two groups of collected data were formed. The first group includes components data and the second group covers data of reactor scrams. Time related and demand related models were used for data evaluation. Parameters were estimated by classical method. Similar data bases are useful everywhere where components unavailabilities may have severe drawback. (author)

  15. Safety prediction for basic components of safety critical software based on static testing

    International Nuclear Information System (INIS)

    The purpose of this work is to develop a safety prediction method, with which we can predict the risk of software components based on static testing results at the early development stage. The predictive model combines the major factor with the quality factor for the components, both of which are calculated based on the measures proposed in this work. The application to a safety-critical software system demonstrates the feasibility of the safety prediction method. (authors)

  16. Safety prediction for basic components of safety-critical software based on static testing

    International Nuclear Information System (INIS)

    The purpose of this work is to develop a safety prediction method, with which we can predict the risk of software components based on static testing results at the early development stage. The predictive model combines the major factor with the quality factor for the components, which are calculated based on the measures proposed in this work. The application to a safety-critical software system demonstrates the feasibility of the safety prediction method. (authors)

  17. An Ontology-Based Method for Semantic Integration of Business Components

    CERN Document Server

    Elasri, Hicham; Kzaz, Larbi

    2011-01-01

    Building new business information systems from reusable components is today an approach widely adopted and used. Using this approach in analysis and design phases presents a great interest and requires the use of a particular class of components called Business Components (BC). Business Components are today developed by several manufacturers and are available in many repositories. However, reusing and integrating them in a new Information System requires detection and resolution of semantic conflicts. Moreover, most of integration and semantic conflict resolution systems rely on ontology alignment methods based on domain ontology. This work is positioned at the intersection of two research areas: Integration of reusable Business Components and alignment of ontologies for semantic conflict resolution. Our contribution concerns both the proposal of a BC integration solution based on ontologies alignment and a method for enriching the domain ontology used as a support for alignment.

  18. Fuzzy, copper-based multi-functional composite particles serving simultaneous catalytic and signal-enhancing roles

    Science.gov (United States)

    Li, Xiangming; Hu, Yingmo; An, Qi; Luan, Xinglong; Zhang, Qian; Zhang, Yihe

    2016-04-01

    Multifunctional plasmonic particles serving simultaneously as catalysts and label-free reporting agents are highly pursued due to their great potential in enhancing reaction operational efficiencies. Copper is an abundant and economic resource, and it possesses practical applicability in industries, but no dual-functional copper-based catalytic and self-reporting particles have been reported so far. This study proposes a facile strategy to prepare high-performance dual-functional copper-based composite particles that catalyze reactions and simultaneously serve as a SERS (surface enhanced Raman spectra) active, label-free reporting agent. Polyelectrolyte-modified reduced graphene oxide particles are used as the reactive precursors in the fabrication method. Upon adding Cu(NO3)2 solutions into the precursor dispersions, composite particles comprised by copper/copper oxide core and polyelectrolyte-graphene shell were facilely obtained under sonication. The as-prepared composite particles efficiently catalyzed the conversion of 4-nitrophenol to 4-aminophenol and simultaneously acted as the SERS-active substrate to give enhanced Raman spectra of the produced 4-aminophenol. Taking advantage of the assembling capabilities of polyelectrolyte shells, the composite particles could be further assembled onto a planar substrate to catalyze organic reactions, facilitating their application in various conditions. We expect this report to promote the fabrication and application of copper-based multifunctional particles.Multifunctional plasmonic particles serving simultaneously as catalysts and label-free reporting agents are highly pursued due to their great potential in enhancing reaction operational efficiencies. Copper is an abundant and economic resource, and it possesses practical applicability in industries, but no dual-functional copper-based catalytic and self-reporting particles have been reported so far. This study proposes a facile strategy to prepare high

  19. Network flow-based simultaneous retiming and slack budgeting for low power design

    OpenAIRE

    Yu, Bei; Dong, Sheqin; Ma, Yuchun; Lin, Tao; Wang, Yu; Chen, Song; Goto, Satoshi

    2014-01-01

    Low power design has become one of the most significant requirements when CMOS technology entered the nanometer era. Therefore, timing budget is often performed to slow down as many components as possible so that timing slacks can be applied to reduce the power consumption while maintaining the performance of the whole design. Retiming is a procedure that involves the relocation of flip-flops (FFs) across logic gates to achieve faster clocking speed. In this paper we show that the retiming an...

  20. Material characteristics and mechanisms for the evaluation and simulation of component behavior in case of simultaneous creep, fatigue and oxidation damage

    International Nuclear Information System (INIS)

    The life of components for applications in power stations, nuclear systems and similar systems results from the interplay of creep damages, fatigue damages and oxidation damages. Under these conditions, it is especially unsure to transfer short-term laboratory experiment results empirically to components with required long life. The development of the damage is controlled both through inelastic deformations and through the corresponding physical mechanisms of these deformations; therefore, the strain curve and the changes in the material structure have to be considered for reliable life forecasts. An accuracy of the life forecast results in the case of fulfillment of such requirements, which is higher essentially than the accuracy of the previous methods; consequently, it contributes to significant improvements of the forecast techniques. (orig.)

  1. Textile-Based Electronic Components for Energy Applications: Principles, Problems, and Perspective

    Directory of Open Access Journals (Sweden)

    Vishakha Kaushik

    2015-09-01

    Full Text Available Textile-based electronic components have gained interest in the fields of science and technology. Recent developments in nanotechnology have enabled the integration of electronic components into textiles while retaining desirable characteristics such as flexibility, strength, and conductivity. Various materials were investigated in detail to obtain current conductive textile technology, and the integration of electronic components into these textiles shows great promise for common everyday applications. The harvest and storage of energy in textile electronics is a challenge that requires further attention in order to enable complete adoption of this technology in practical implementations. This review focuses on the various conductive textiles, their methods of preparation, and textile-based electronic components. We also focus on fabrication and the function of textile-based energy harvesting and storage devices, discuss their fundamental limitations, and suggest new areas of study.

  2. Bioimpedance-based measurement method for simultaneous acquisition of respiratory and cardiac gating signals

    International Nuclear Information System (INIS)

    Respiratory and cardiac motion artefacts impair the quality and reliability of medical imaging, particularly in nuclear medicine. At worst, the interpretation of distorted images may lead to inadequate or unnecessary treatment. Image artefacts can be minimized by gating the image acquisition according to respiratory phase and cardiac contractions. However, currently there are no clinically established dual-gating methods in nuclear medicine imaging. The aim of this study is to validate a previously determined optimized bioimpedance measurement configuration against traditional respiratory and cardiac measurement systems in 12 volunteers. High agreement and excellent correlations (r = 0.944–0.999) were found between respiratory peak-to-peak amplitudes as well as temporal respiratory and cardiac intervals. Above all, good quality respiratory and cardiac gating signals were obtained from all test subjects with a fairly regular sinus rhythm. Importantly, both signals were acquired simultaneously with a single device. Due to the simplicity of this inexpensive method, the technique has high potential to be adopted for dual-gating in clinical practice in the future. (paper)

  3. Player-Stage Based Simulator For Simultaneous Multi-Robot Exploration And Terrain Coverage Problem

    Directory of Open Access Journals (Sweden)

    K.S. Senthilkumar

    2011-10-01

    Full Text Available One of the possible ways of offering assistance without risking additional human lives during hazardous situations is by deploying a robot team, equipped with various sensors and actuators. Working with intelligent robotics requires a large investment in both money and time. There is a general purpose, open source simulator called Player/Stage, which provides a hardware abstraction layer to several popular robot platforms, and is commonly used by robotics community in research and university teaching, today. This simulator tends to be very simple and task-specific. Player, which is a distributed device server for robots, sensors and actuators, can control either a real or simulated robot thus allowing direct application of developed algorithms to real-life scenarios. Hence, we believe that Player/Stage, when coupled with robust hardware, is a viable paradigm for our Simultaneous MSTC(S-MSTC algorithm. This paper gives details of our experience in running Player/Stage during the implementation of our online S-MSTC algorithm for multi-robot being implemented in C++ and we use Player/Stage middleware for validation and testing. In addition, the experience with Player/Stage can help us to do research in more complicated situations.

  4. Player-Stage Based Simulator For Simultaneous Multi-Robot Exploration And Terrain Coverage Problem

    Directory of Open Access Journals (Sweden)

    K.S. Senthilkumar

    2011-11-01

    Full Text Available One of the possible ways of offering assistance without risking additional human lives during hazardous situations is by deploying a robot team, equipped with various sensors and actuators. Working with intelligent robotics requires a large investment in both money and time. There is a general purpose, open source simulator called Player/Stage, which provides a hardware abstraction layer to several popular robot platforms, and is commonly used by robotics community in research and university teaching, today. This simulator tends to be very simple and task-specific. Player, which is a distributed device server for robots, sensors and actuators, can control either a real or simulated robot thus allowing direct application of developed algorithms to real-life scenarios. Hence, we believe that Player/Stage, when coupled with robust hardware, is a viable paradigm for our Simultaneous MSTC(S-MSTC algorithm. This paper gives details of our experience in running Player/Stage during the implementation of our online S-MSTC algorithm for multi-robot being implemented in C++ and we use Player/Stage middleware for validation and testing. In addition, the experience with Player/Stage can help us to do research in more complicated situations.

  5. Simultaneously estimation for surface heat fluxes of steel slab in a reheating furnace based on DMC predictive control

    International Nuclear Information System (INIS)

    The predictive control theory is utilized for the research of a simultaneous estimation of heat fluxes through the upper, side and lower surface of a steel slab in a walking beam type rolling steel reheating furnace. An inverse algorithm based on dynamic matrix control (DMC) is established. That is, each surface heat flux of a slab is simultaneously estimated through rolling optimization on the basis of temperature measurements in selected points of its interior by utilizing step response function as predictive model of a slab's temperature. The reliability of the DMC results is enhanced without prior assuming specific functions of heat fluxes over a period of future time. The inverse algorithm proposed a respective regularization to effectively improve the stability of the estimated results by considering obvious strength differences between the upper as well as lower and side surface heat fluxes of the slab. - Highlights: • The predictive control theory is adopted. • An inversion scheme based on DMC is established. • Upper, side and lower surface heat fluxes of slab are estimated based DMC. • A respective regularization is proposed to improve the stability of results

  6. Accelerated solvent extraction for GC-based tobacco fingerprinting and its comparison with simultaneous distillation and extraction.

    Science.gov (United States)

    Li, Yong; Pang, Tao; Guo, Ziming; Li, Yanli; Wang, Xiaolin; Deng, Jianhua; Zhong, Kejun; Lu, Xin; Xu, Guowang

    2010-04-15

    An accelerated solvent extraction (ASE) procedure has been developed as a pretreatment method for chemical fingerprinting of volatile and semi-volatile components in cut tobacco. The ASE extraction conditions including temperature, operation pressure and extraction cycles were optimized to maximize extraction yield. The method was validated with repeatability, recovery and linearity. Compared with simultaneous distillation extraction (SDE), ASE provides higher extraction yields, less extraction time, lower solvent consumption and less labor time, and is more suitable for tobacco sample preparation. A typical ASE extract was analyzed by gas chromatography/time-of-flight mass spectrometry (GC-TOFMS). A total of 305 components with signal-to-noise ratio higher than 100 were tentatively identified by NIST05 and Wiley database. Finally, 36 cigarette samples from six cigarette brands were analyzed using the developed chemical fingerprinting method. Partial least squares-discriminant analysis shows good discrimination of different cigarette brands. The results indicate that ASE method can serve as high-throughput sample preparation technique for cigarette chemical fingerprint analysis. PMID:20188977

  7. High Temperature Corrosion Problem of Boiler Components in presence of Sulfur and Alkali based Fuels

    Science.gov (United States)

    Ghosh, Debashis; Mitra, Swapan Kumar

    2011-04-01

    Material degradation and ageing is of particular concern for fossil fuel fired power plant components. New techniques/approaches have been explored in recent years for Residual Life assessment of aged components and material degradation due to different damage mechanism like creep, fatigue, corrosion and erosion etc. Apart from the creep, the high temperature corrosion problem in a fossil fuel fired boiler is a matter of great concern if the fuel contains sulfur, chlorine sodium, potassium and vanadium etc. This paper discusses the material degradation due to high temperature corrosion in different critical components of boiler like water wall, superheater and reheater tubes and also remedial measures to avoid the premature failure. This paper also high lights the Residual Life Assessment (RLA) methodology of the components based on high temperature fireside corrosion. of different critical components of boiler.

  8. Simultaneous determination of ascorbic acid, dopamine and uric acid based on tryptophan functionalized graphene

    Energy Technology Data Exchange (ETDEWEB)

    Lian, Qianwen; He, Zhifang; He, Qian; Luo, Ai; Yan, Kaiwang; Zhang, Dongxia [Key Laboratory of Bioelectrochemistry and Environmental Analysis of Gansu Province, College of Geography and Environment Science, Northwest Normal University, Lanzhou, 730070 (China); Lu, Xiaoquan, E-mail: Luxq@nwnu.edu.cn [Key Laboratory of Bioelectrochemistry and Environmental Analysis of Gansu Province, College of Chemistry and Chemical Engineering, Northwest Normal University, Lanzhou, 730070 (China); Zhou, Xibin, E-mail: zhouxb@nwnu.edu.cn [Key Laboratory of Bioelectrochemistry and Environmental Analysis of Gansu Province, College of Geography and Environment Science, Northwest Normal University, Lanzhou, 730070 (China)

    2014-05-01

    Highlights: • Trp-GR was synthesized by utilizing a facile ultrasonic method. • The material as prepared had well dispersivity in water and better conductivity than pure GR. • Trp-GR/GCE showed excellent potential for the determination of AA, DA and UA. • The proposed method was applied for the analysis of AA, DA and UA in real samples. - Abstract: A new type of tryptophan-functionalized graphene nanocomposite (Trp-GR) was synthesized by utilizing a facile ultrasonic method via π–π conjugate action between graphene (GR) and tryptophan (Trp) molecule. The material as prepared had well dispersivity in water and better conductivity than pure GR. The surface morphology of Trp-GR was characterized by scanning electron microscopy (SEM), transmission electron microscopy (TEM) and Raman spectroscopy. The electrochemical behaviors of ascorbic acid (AA), dopamine (DA), and uric acid (UA) were investigated by cyclic voltammetry (CV) on the surface of Trp-GR. The separation of the oxidation peak potentials for AA–DA, DA–UA and UA–AA was about 182 mV, 125 mV and 307 mV, which allowed simultaneously determining AA, DA, and UA. Differential pulse voltammetery (DPV) was used for the determination of AA, DA, and UA in their mixture. Under optimum conditions, the linear response ranges for the determination of AA, DA, and UA were 0.2–12.9 mM, 0.5–110 μM, and 10–1000 μM, with the detection limits (S/N = 3) of 10.09 μM, 0.29 μM and 1.24 μM, respectively. Furthermore, the modified electrode was investigated for real sample analysis.

  9. Pulse artifact detection in simultaneous EEG-fMRI recording based on EEG map topography.

    Science.gov (United States)

    Iannotti, Giannina R; Pittau, Francesca; Michel, Christoph M; Vulliemoz, Serge; Grouiller, Frédéric

    2015-01-01

    One of the major artifact corrupting electroencephalogram (EEG) acquired during functional magnetic resonance imaging (fMRI) is the pulse artifact (PA). It is mainly due to the motion of the head and attached electrodes and wires in the magnetic field occurring after each heartbeat. In this study we propose a novel method to improve PA detection by considering the strong gradient and inversed polarity between left and right EEG electrodes. We acquired high-density EEG-fMRI (256 electrodes) with simultaneous electrocardiogram (ECG) at 3 T. PA was estimated as the voltage difference between right and left signals from the electrodes showing the strongest artifact (facial and temporal). Peaks were detected on this estimated signal and compared to the peaks in the ECG recording. We analyzed data from eleven healthy subjects, two epileptic patients and four healthy subjects with an insulating layer between electrodes and scalp. The accuracy of the two methods was assessed with three criteria: (i) standard deviation, (ii) kurtosis and (iii) confinement into the physiological range of the inter-peak intervals. We also checked whether the new method has an influence on the identification of epileptic spikes. Results show that estimated PA improved artifact detection in 15/17 cases, when compared to the ECG method. Moreover, epileptic spike identification was not altered by the correction. The proposed method improves the detection of pulse-related artifacts, particularly crucial when the ECG is of poor quality or cannot be recorded. It will contribute to enhance the quality of the EEG increasing the reliability of EEG-informed fMRI analysis. PMID:25307731

  10. A Multiobjective Genetic Programming-Based Ensemble for Simultaneous Feature Selection and Classification.

    Science.gov (United States)

    Nag, Kaustuv; Pal, Nikhil R

    2016-02-01

    We present an integrated algorithm for simultaneous feature selection (FS) and designing of diverse classifiers using a steady state multiobjective genetic programming (GP), which minimizes three objectives: 1) false positives (FPs); 2) false negatives (FNs); and 3) the number of leaf nodes in the tree. Our method divides a c -class problem into c binary classification problems. It evolves c sets of genetic programs to create c ensembles. During mutation operation, our method exploits the fitness as well as unfitness of features, which dynamically change with generations with a view to using a set of highly relevant features with low redundancy. The classifiers of i th class determine the net belongingness of an unknown data point to the i th class using a weighted voting scheme, which makes use of the FP and FN mistakes made on the training data. We test our method on eight microarray and 11 text data sets with diverse number of classes (from 2 to 44), large number of features (from 2000 to 49 151), and high feature-to-sample ratio (from 1.03 to 273.1). We compare our method with a bi-objective GP scheme that does not use any FS and rule size reduction strategy. It depicts the effectiveness of the proposed FS and rule size reduction schemes. Furthermore, we compare our method with four classification methods in conjunction with six features selection algorithms and full feature set. Our scheme performs the best for 380 out of 474 combinations of data sets, algorithm and FS method. PMID:25769178

  11. Simultaneous biosorption of selenium, arsenic and molybdenum with modified algal-based biochars.

    Science.gov (United States)

    Johansson, Charlotte L; Paul, Nicholas A; de Nys, Rocky; Roberts, David A

    2016-01-01

    Ash disposal waters from coal-fired power stations present a challenging water treatment scenario as they contain high concentrations of the oxyanions Se, As and Mo which are difficult to remove through conventional techniques. In an innovative process, macroalgae can be treated with Fe and processed through slow pyrolysis into Fe-biochar which has a high affinity for oxyanions. However, the effect of production conditions on the efficacy of Fe-biochar is poorly understood. We produced Fe-biochar from two algal sources; "Gracilaria waste" (organic remnants after agar is extracted from cultivated Gracilaria) and the freshwater macroalgae Oedogonium. Pyrolysis experiments tested the effects of the concentration of Fe(3+) in pre-treatment, and pyrolysis temperatures, on the efficacy of the Fe-biochar. The efficacy of Fe-biochar increased with increasing concentrations of Fe(3+) in the pre-treatment solutions, and decreased with increasing pyrolysis temperatures. The optimized Fe-biochar for each biomass was produced by treatment with a 12.5% w/v Fe(3+) solution, followed by slow pyrolysis at 300 °C. The Fe-biochar produced in this way had higher a biosorption capacity for As and Mo (62.5-80.7 and 67.4-78.5 mg g(-1) respectively) than Se (14.9-38.8 mg g(-1)) in single-element mock effluents, and the Fe-biochar produced from Oedogonium had a higher capacity for all elements than the Fe-biochar produced from Gracilaria waste. Regardless, the optimal Fe-biochars from both biomass sources were able to effectively treat Se, As and Mo simultaneously in an ash disposal effluent from a power station. The production of Fe-biochar from macroalgae is a promising technique for treatment of complex effluents containing oxyanions. PMID:26413805

  12. SIMULTANEOUS CONTROL OF HGO, SO2, AND NOX BY NOVEL OXIDIZED CALCIUM-BASED SORBENTS

    Science.gov (United States)

    The paper gives results of an investigation of two classes of calcium (Ca)-based sorbents (hydrated limes and silicate compounds). (NOTE: Efforts to develop multipollutant control strategies have demonstrated that adding certain oxidants to different classes of Ca-based sorbents...

  13. SIMULTANEOUS CONTROL OF HG(0), SO2, AND NOX BY NOVEL OXIDIZED CALCIUM-BASED SORBENTS

    Science.gov (United States)

    The paper gives results of an investigation of two classes of calcium (Ca)-based sorbents (hydrated limes and silicate compounds). {NOTE: Efforts to develop multipollutant control strategies have demonstrated that adding certain oxidants to different classes of Ca-based sorbents ...

  14. Optimal condition-based maintenance decisions for systems with dependent stochastic degradation of components

    International Nuclear Information System (INIS)

    Components in engineered systems are subjected to stochastic deterioration due to the operating environmental conditions, and the uncertainty in material properties. The components need to be inspected and possibly replaced based on preventive or failure replacement criteria to provide the intended and safe operation of the system. In the present study, we investigate the influence of dependent stochastic degradation of multiple components on the optimal maintenance decisions. We use copula to model the dependent stochastic degradation of components, and formulate the optimal decision problem based on the minimum expected cost rule and the stochastic dominance rules. The latter is used to cope with decision maker's risk attitude. We illustrate the developed probabilistic analysis approach and the influence of the dependency of the stochastic degradation on the preferred decisions through numerical examples

  15. NMR Based Cerebrum Metabonomic Analysis Reveals Simultaneous Interconnected Changes during Chick Embryo Incubation.

    Directory of Open Access Journals (Sweden)

    Yue Feng

    Full Text Available To find out if content changes of the major functional cerebrum metabolites are interconnected and formed a network during the brain development, we obtained high-resolution magic-angle-spinning (HR-MAS 1H NMR spectra of cerebrum tissues of chick embryo aged from incubation day 10 to 20, and postnatal day 1, and analyzed the data with principal component analysis (PCA. Within the examined time window, 26 biological important molecules were identified and 12 of them changed their relative concentration significantly in a time-dependent manner. These metabolites are generally belonged to three categories, neurotransmitters, nutrition sources, and neuronal or glial markers. The relative concentration changes of the metabolites were interconnected among/between the categories, and, more interestingly, associated with the number and size of Nissl-positive neurons. These results provided valuable biochemical and neurochemical information to understand the development of the embryonic brain.

  16. Single-Trial Estimation and Analysis of PVEP Based on Independent ComPonent Analysis

    Institute of Scientific and Technical Information of China (English)

    洪波; 杨福生; 潘映辐; 唐庆玉; 陈奎; 铁艳梅

    2001-01-01

    A novel method based on the extended infomax approach of independent component analysis (ICA) is proposed for the single-trial estimation of multi-channel pattern-reversal visual evoked potential (PVEP). The clinical applications illustrate the encouraging performance of the method. The number of trials needed is reduced to 3, but the estimated VEP complex is clearer than that obtained by conventional ensemble averaging with 50 trials. By analyzing the time course and spatial pattern of the independent components (ICs) of the multi-channel PVEP, one component is found to be reasonably related to the P100 peak.

  17. A component-based approach to the design of networked control systems

    OpenAIRE

    Årzén, Karl-Erik; Bicchi, Antonio; Dini, Gianluca; Hailes, Stephen; Johansson, Karl H.; Lygeros, John; Tzes, Anthony

    2007-01-01

    Component-based techniques revolve around composable, reusable software objects that shield the application level software from the details of the hardware and low-level software implementation and vice versa. Components provide many benefits that have led to their wide adoption it software and middleware developed for embedded systems: They are well-defined entities that can be replaced without affecting the rest of the systems, they can be developed and tested separately and integrated late...

  18. Small Target Extraction Based on Independent Component Analysis for Hyperspectral Imagery

    Institute of Scientific and Technical Information of China (English)

    LU Wei; YU Xuchu

    2006-01-01

    A small target detection approach based on independent component analysis for hyperspectral data is put forward. In this algorithm, firstly the fast independent component analysis(FICA) is used to collect target information hided in high-dimensional data and projects them into low-dimensional space.Secondly, the feature images are selected with kurtosis .At last, small targets are extracted with histogram image segmentation which has been labeled by skewness.

  19. Color Image Watermarking using Cycle Spinning based Sharp Frequency Localized Contourlet Transform and Principal Component Analysis

    OpenAIRE

    Kishore Kumar, K.; Movva Pavani; V.Seshu Babu

    2012-01-01

    This paper describes a new approach for color image watermarking using Cycle Spinning based Sharp Frequency Localized Contourlet Transform and Principal Component Analysis. The approach starts with decomposition of images into various subbands using Contourlet Transform(CT) successively for all the color spaces of both host and watermark images. Then principal components of middle band(x bands) are considered for inserting operation. The ordinary contourlet transform suffers from lack of freq...

  20. SystemCSP : a graphical language for designing concurrent component-based embedded control systems

    OpenAIRE

    Orlic, Bojan

    2007-01-01

    The main contribution of this thesis is the introduction of SystemCSP, a novel graphical design language for specification of interactions in concurrent component based embedded control systems. SystemCSP was developed in the scope of the embedded control systems application area. However, SystemCSP is intended to be used in any kind of software/hardware development dealing with interaction of concurrent components.

  1. Synthesizing Glue Operators from Glue Constraints for the Construction of Component-Based Systems

    OpenAIRE

    Apel, Sven; Jackson, Ethan; Bliudze, Simon; Sifakis, Joseph

    2011-01-01

    We study glue operators used in component-based frameworks to obtain systems as the composition of atomic components described as labeled transition systems (LTS). Glue operators map tuples of LTS into LTS. They restrict the behavior of their arguments by performing memoryless coordination. In a previous paper, we have proposed a simple format for SOS rules that captures, in particular, glue operators from known frameworks such as CCS, SCCS, CSP, and BIP. This paper studies a new way for cha...

  2. Component-Based Technology Transfer in the Presence of Potential Imitators

    OpenAIRE

    Jiong Sun; Laurens G. Debo; Sunder Kekre; Jinhong Xie

    2010-01-01

    Technology transfer to low-cost locations offers global firms an opportunity to reduce their variable costs involved in serving emerging markets. However, such moves may also make imitation by local competitors easier. As a consequence, technology transfer may create competition in the local market. We introduce component-based technology transfer for the global firm as a means to deter or accommodate the imitators' entry, recognizing that components may differ in technological complexity. By...

  3. R-MOM: A Component-Based Framework for Interoperable and Adaptive Asynchronous Middleware Systems

    OpenAIRE

    Labéjof, Jonathan; Léger, Antoine; Merle, Philippe; Seinturier, Lionel; Vincent, Hugues

    2012-01-01

    International audience Systems of systems (SoS) are composed of subsystems such as Distributed, Information Technology, Real-Time and Embedded systems. Among distributed systems, Message- Oriented Middleware (MOM) is used by SoS in order to share status information from system elements (component, service, etc.). Often several different MOM technologies are used in one SoS, then interoperability between these MOM is a requirement. In this paper, we present R-MOM, a component-based framewor...

  4. In vivo continuous and simultaneous monitoring of brain energy substrates with a multiplex amperometric enzyme-based biosensor device.

    Science.gov (United States)

    Cordeiro, C A; de Vries, M G; Ngabi, W; Oomen, P E; Cremers, T I F H; Westerink, B H C

    2015-05-15

    Enzyme-based amperometric biosensors are widely used for monitoring key biomarkers. In experimental neuroscience there is a growing interest in in vivo continuous and simultaneous monitoring of metabolism-related biomarkers, like glucose, lactate and pyruvate. The use of multiplex biosensors will provide better understanding of brain energy metabolism and its role in neuropathologies such as diabetes, ischemia, and epilepsy. We have developed and characterized an implantable multiplex microbiosensor device (MBD) for simultaneous and continuous in vivo monitoring of glucose, lactate, and pyruvate. First, we developed and characterized amperometric microbiosensors for monitoring lactate and pyruvate. In vitro evaluation allowed us to choose the most suitable biosensors for incorporation into the MBD, along with glucose and background biosensors. Fully assembled MBDs were characterized in vitro. The calculated performance parameters (LOD, LR, LRS, IMAX and appKM) showed that the multiplex MBD was highly selective and sensitive (LRS≥100 nA/mM) for each analyte and within an adequate range for in vivo application. Finally, MBDs were implanted in the mPFC of anesthetized adult male Wistar rats for in vivo evaluation. Following an equilibration period, baseline brain levels of glucose (1.3±0.2 mM), lactate (1.5±0.4 mM) and pyruvate (0.3±0.1 mM) were established. Subsequently, the MBDs recorded the responses of the animals when submitted to hyperglycemic (40% glucose i.v.) and hypoglycemic (5 U/kg insulin i.v.) challenges. Afterwards, MBDs were recalibrated to convert electrochemical readings into accurate substrate concentrations and to assess biofouling. The presented MBD can monitor simultaneously multiple biomarkers in vivo. PMID:25459054

  5. Simultaneously Harvesting Thermal and Mechanical Energies based on Flexible Hybrid Nanogenerator for Self-Powered Cathodic Protection.

    Science.gov (United States)

    Zhang, Hulin; Zhang, Shangjie; Yao, Guang; Huang, Zhenlong; Xie, Yuhang; Su, Yuanjie; Yang, Weiqing; Zheng, Chunhua; Lin, Yuan

    2015-12-30

    Metal corrosion occurs anytime and anywhere in nature and the corrosion prevention has a great significance everywhere in national economic development and daily life. Here, we demonstrate a flexible hybrid nanogenerator (NG) that is capable of simultaneously or individually harvesting ambient thermal and mechanical energies and used for a self-powered cathodic protection (CP) system without using an external power source. Because of its double peculiarities of both pyroelectric and piezoelectric properties, a polarized poly(vinylidene fluoride) (PVDF) film-based NG was constructed to scavenge both thermal and mechanical energies. As a supplementary, a triboelectric NG was constructed below the pyro/piezoelectric NG to grab ambient mechanical energy. The output power of the fabricated hybrid NG can be directly used to protect the metal surface from the chemical corrosion. Our results not only verify the feasibility of self-powered CP-based NGs, but also expand potential self-powered applications. PMID:26669205

  6. Visual-based simultaneous localization and mapping and global positioning system correction for geo-localization of a mobile robot

    International Nuclear Information System (INIS)

    This paper introduces an approach combining visual-based simultaneous localization and mapping (V-SLAM) and global positioning system (GPS) correction for accurate multi-sensor localization of an outdoor mobile robot in geo-referenced maps. The proposed framework combines two extended Kalman filters (EKF); the first one, referred to as the integration filter, is dedicated to the improvement of the GPS localization based on data from an inertial navigation system and wheels' encoders. The second EKF implements the V-SLAM process. The linear and angular velocities in the dynamic model of the V-SLAM EKF filter are given by the GPS/INS/Encoders integration filter. On the other hand, the output of the V-SLAM EKF filter is used to update the dynamics estimation in the integration filter and therefore the geo-referenced localization. This solution increases the accuracy and the robustness of the positioning during GPS outage and allows SLAM in less featured environments

  7. Simultaneous Computation of Two Independent Tasks Using Reservoir Computing Based on a Single Photonic Nonlinear Node With Optical Feedback.

    Science.gov (United States)

    Nguimdo, Romain Modeste; Verschaffelt, Guy; Danckaert, Jan; Van der Sande, Guy

    2015-12-01

    In this brief, we numerically demonstrate a photonic delay-based reservoir computing system, which processes, in parallel, two independent computational tasks even when the two tasks have unrelated input streams. Our approach is based on a single-longitudinal mode semiconductor ring laser (SRL) with optical feedback. The SRL emits in two directional optical modes. Each directional mode processes one individual task to mitigate possible crosstalk. We illustrate the feasibility of our scheme by analyzing the performance on two benchmark tasks: 1) chaotic time series prediction and 2) nonlinear channel equalization. We identify some feedback configurations for which the results for simultaneous prediction/classification indicate a good performance, but with slight degradation (as compared with the performance obtained for single task processing) due to nonlinear and linear interactions between the two directional modes of the laser. In these configurations, the system performs well on both tasks for a broad range of the parameters. PMID:25751880

  8. A local fast marching-based diffusion tensor image registration algorithm by simultaneously considering spatial deformation and tensor orientation.

    Science.gov (United States)

    Xue, Zhong; Li, Hai; Guo, Lei; Wong, Stephen T C

    2010-08-01

    It is a key step to spatially align diffusion tensor images (DTI) to quantitatively compare neural images obtained from different subjects or the same subject at different timepoints. Different from traditional scalar or multi-channel image registration methods, tensor orientation should be considered in DTI registration. Recently, several DTI registration methods have been proposed in the literature, but deformation fields are purely dependent on the tensor features not the whole tensor information. Other methods, such as the piece-wise affine transformation and the diffeomorphic non-linear registration algorithms, use analytical gradients of the registration objective functions by simultaneously considering the reorientation and deformation of tensors during the registration. However, only relatively local tensor information such as voxel-wise tensor-similarity is utilized. This paper proposes a new DTI image registration algorithm, called local fast marching (FM)-based simultaneous registration. The algorithm not only considers the orientation of tensors during registration but also utilizes the neighborhood tensor information of each voxel to drive the deformation, and such neighborhood tensor information is extracted from a local fast marching algorithm around the voxels of interest. These local fast marching-based tensor features efficiently reflect the diffusion patterns around each voxel within a spherical neighborhood and can capture relatively distinctive features of the anatomical structures. Using simulated and real DTI human brain data the experimental results show that the proposed algorithm is more accurate compared with the FA-based registration and is more efficient than its counterpart, the neighborhood tensor similarity-based registration. PMID:20382233

  9. Software Engineering Environment for Component-based Design of Embedded Software

    DEFF Research Database (Denmark)

    Guo, Yu

    2010-01-01

    software technology, which is largely based on informal design methods and manual coding techniques. That is why it is necessary to develop new design methods and tools that will eventually help improve existing practices. These considerations have motivated the development of the framework -- Component......-Based Design of Software for Distributed Embedded Systems (COMDES) and the related software design methodology, in an attempt to provide a solution to the problems formulated above. The essence of this methodology is the adoption of formal models used to systematically develop embedded software applications...... that are correct by construction, and ultimately -- configure applications from prefabricated reusable components, with the support of appropriate tools. It combines component-based design with a model-driven software development approach, which reduces development time through design automation, enhances software...

  10. Randomized Trial of Prize-Based Reinforcement Density for Simultaneous Abstinence from Cocaine and Heroin

    Science.gov (United States)

    Ghitza, Udi E.; Epstein, David H.; Schmittner, John; Vahabzadeh, Massoud; Lin, Jia-Ling; Preston, Kenzie L.

    2007-01-01

    To examine the effect of reinforcer density in prize-based abstinence reinforcement, heroin/cocaine users (N = 116) in methadone maintenance (100 mg/day) were randomly assigned to a noncontingent control group (NonC) or to 1 of 3 groups that earned prize draws for abstinence: manual drawing with standard prize density (MS) or computerized drawing…

  11. Identifiability study of the proteins degradation model, based on ADM1, using simultaneous batch experiments

    DEFF Research Database (Denmark)

    Flotats, X.; Palatsi, J.; Ahring, Birgitte Kiær; Angelidaki, Irini

    2006-01-01

    The objective of the present study is to analyse kinetic and stoichiometric parameter values of gelatine anaerobic degradation at thermophilic range, based on an experiment designed to elucidate if volatile fatty acids (VFA) are inhibitors of the hydrolysis process. Results showed that VFA are no...

  12. Reverse Transcription Polymerase Chain Reaction-based System for Simultaneous Detection of Multiple Lily-infecting Viruses

    Directory of Open Access Journals (Sweden)

    Ji Yeon Kwon

    2013-09-01

    Full Text Available A detection system based on a multiplex reverse transcription (RT polymerase chain reaction (PCR was developed to simultaneously identify multiple viruses in the lily plant. The most common viruses infecting lily plants are the cucumber mosaic virus (CMV, lily mottle virus (LMoV, lily symptomless virus (LSV. Leaf samples were collected at lily-cultivation facilities located in the Kangwon province of Korea and used to evaluate the detection system. Simplex and multiplex RT-PCR were performed using virus-specific primers to detect single-or mixed viral infections in lily plants. Our results demonstrate the selective detection of 3 different viruses (CMV, LMoV and LSV by using specific primers as well as the potential of simultaneously detecting 2 or 3 different viruses in lily plants with mixed infections. Three sets of primers for each target virus, and one set of internal control primers were used to evaluate the detection system for efficiency, reliability, and reproducibility.

  13. Simultaneous voltammetric determination for DA, AA and NO₂⁻ based on graphene/poly-cyclodextrin/MWCNTs nanocomposite platform.

    Science.gov (United States)

    Zhang, Yu; Yuan, Ruo; Chai, Yaqin; Li, Wenjuan; Zhong, Xia; Zhong, Huaan

    2011-05-15

    In the present work, graphene sheets (GS) and multiwall carbon nanotubes (MWCNTs) were dispersed in the mixed solution of cyclodextrin (CD) and cyclodextrin prepolymer (pre-CD) and were used as modifier to fabricate chemical modified electrode to simultaneous detect dopamine (DA), ascorbic acid (AA) and nitrite (NO2(-)). CD cross-linked pre-CD (CDP) displays excellent film forming ability, which made the electrode stable. Comparing with CDP-GS, CDP-MWCNTs and CDP-GS-MWCNTs modified electrodes, the CDP-GS-MWCNTs displays higher catalytic activity and selectivity toward the oxidation of DA, AA and NO2(-), revealing that MWCNTs effectively inhibited the stacking of individual GS and enhanced the utilization of GS based composites. The host-guest chemical reaction ability of CD and π-π stacking interaction between detected molecules and GS-MWCNTs surface were considered as the main reasons of the successfully simultaneous detection of DA, AA and NO2(-). Cyclic voltammetry (CV), scanning electron microscopy (SEM) and different pulse voltammetry (DPV) were employed to characterize the biosensor. The linear response range for AA, DA and NO2(-) were 5 μM-0.48 mM, 0.15-21.65 μM and 5 μM-6.75 mM, respectively and the detection limits were 1.65 μM, 0.05 μM and 1.65 μM. PMID:21497078

  14. Simultaneous typing of nine avian respiratory pathogens using a novel GeXP analyzer-based multiplex PCR assay.

    Science.gov (United States)

    Xie, Zhixun; Luo, Sisi; Xie, Liji; Liu, Jiabo; Pang, Yaoshan; Deng, Xianwen; Xie, Zhiqin; Fan, Qing; Khan, Mazhar I

    2014-10-01

    A new, rapid, and high-throughput GenomeLab Gene Expression Profiler (GeXP) analyzer-based multiplex PCR method was developed for simultaneous detection and differentiation of nine avian respiratory pathogens. The respiratory pathogens included in this study were avian influenza subtypes H5, H7, and H9, infectious bronchitis virus (IBV), Newcastle disease virus (NDV), infectious laryngotracheitis virus (ILTV), Mycoplasma gallisepticum (MG), Mycoplasma synoviae (MS) and Haemophilus paragallinarum (HPG). Ten pairs of primers were designed using conserved and specific sequence genes of AIV subtypes and respiratory pathogens from GenBank. Single and mixed pathogen cDNA/DNA templates were used to evaluate the specificity of the GeXP-multiplex assay. The corresponding specific DNA products were amplified for each pathogen. The specific DNA product amplification peaks of nine respiratory pathogens were observed on the GeXP analyzer. Non-respiratory avian pathogens, including chicken infectious anemia virus, fowl adenovirus, avian reovirus and infectious bursal disease virus, did not produce DNA products. The detection limit for the GeXP-multiplex assay was determined to be 100 copies/μl using various pre-mixed plasmids/ssRNAs containing known target genes of the respiratory pathogens. Further, GeXP-multiplex PCR assay was 100% specific when 24 clinical samples with respiratory infections were tested in comparison with conventional PCR method. The GeXP-multiplex PCR assay provides a novel tool for simultaneous detection and differentiation of nine avian respiratory pathogens. PMID:25025815

  15. Neural network based online simultaneous policy update algorithm for solving the HJI equation in nonlinear H∞ control.

    Science.gov (United States)

    Wu, Huai-Ning; Luo, Biao

    2012-12-01

    It is well known that the nonlinear H∞ state feedback control problem relies on the solution of the Hamilton-Jacobi-Isaacs (HJI) equation, which is a nonlinear partial differential equation that has proven to be impossible to solve analytically. In this paper, a neural network (NN)-based online simultaneous policy update algorithm (SPUA) is developed to solve the HJI equation, in which knowledge of internal system dynamics is not required. First, we propose an online SPUA which can be viewed as a reinforcement learning technique for two players to learn their optimal actions in an unknown environment. The proposed online SPUA updates control and disturbance policies simultaneously; thus, only one iterative loop is needed. Second, the convergence of the online SPUA is established by proving that it is mathematically equivalent to Newton's method for finding a fixed point in a Banach space. Third, we develop an actor-critic structure for the implementation of the online SPUA, in which only one critic NN is needed for approximating the cost function, and a least-square method is given for estimating the NN weight parameters. Finally, simulation studies are provided to demonstrate the effectiveness of the proposed algorithm. PMID:24808144

  16. Towards a Component Framework for Architecture-Based Self-Adaptive Applications

    Institute of Scientific and Technical Information of China (English)

    ZHOU Yu; MA Xiaoxing; TAO Xianping; LU Jian

    2006-01-01

    Self-adaptive software is an efficient way to cope with highly dynamic nature of the environment where it is situated. In this paper, from the perspective of software architecture, we propose a component framework for supporting the architecture-based design and development of self-adaptive applications. It captures some key elements of the research on software architecture and provides more flexible facilities to decouple interacting components. Based on that, a prototype is implemented to demonstrate its feasibility, and at last a case study is presented to illustrate our framework.

  17. Wavelet decomposition based principal component analysis for face recognition using MATLAB

    Science.gov (United States)

    Sharma, Mahesh Kumar; Sharma, Shashikant; Leeprechanon, Nopbhorn; Ranjan, Aashish

    2016-03-01

    For the realization of face recognition systems in the static as well as in the real time frame, algorithms such as principal component analysis, independent component analysis, linear discriminate analysis, neural networks and genetic algorithms are used for decades. This paper discusses an approach which is a wavelet decomposition based principal component analysis for face recognition. Principal component analysis is chosen over other algorithms due to its relative simplicity, efficiency, and robustness features. The term face recognition stands for identifying a person from his facial gestures and having resemblance with factor analysis in some sense, i.e. extraction of the principal component of an image. Principal component analysis is subjected to some drawbacks, mainly the poor discriminatory power and the large computational load in finding eigenvectors, in particular. These drawbacks can be greatly reduced by combining both wavelet transform decomposition for feature extraction and principal component analysis for pattern representation and classification together, by analyzing the facial gestures into space and time domain, where, frequency and time are used interchangeably. From the experimental results, it is envisaged that this face recognition method has made a significant percentage improvement in recognition rate as well as having a better computational efficiency.

  18. Predictive based monitoring of nuclear plant component degradation using support vector regression

    Energy Technology Data Exchange (ETDEWEB)

    Agarwal, Vivek [Idaho National Lab. (INL), Idaho Falls, ID (United States). Dept. of Human Factors, Controls, Statistics; Alamaniotis, Miltiadis [Purdue Univ., West Lafayette, IN (United States). School of Nuclear Engineering; Tsoukalas, Lefteri H. [Purdue Univ., West Lafayette, IN (United States). School of Nuclear Engineering

    2015-02-01

    Nuclear power plants (NPPs) are large installations comprised of many active and passive assets. Degradation monitoring of all these assets is expensive (labor cost) and highly demanding task. In this paper a framework based on Support Vector Regression (SVR) for online surveillance of critical parameter degradation of NPP components is proposed. In this case, on time replacement or maintenance of components will prevent potential plant malfunctions, and reduce the overall operational cost. In the current work, we apply SVR equipped with a Gaussian kernel function to monitor components. Monitoring includes the one-step-ahead prediction of the component’s respective operational quantity using the SVR model, while the SVR model is trained using a set of previous recorded degradation histories of similar components. Predictive capability of the model is evaluated upon arrival of a sensor measurement, which is compared to the component failure threshold. A maintenance decision is based on a fuzzy inference system that utilizes three parameters: (i) prediction evaluation in the previous steps, (ii) predicted value of the current step, (iii) and difference of current predicted value with components failure thresholds. The proposed framework will be tested on turbine blade degradation data.

  19. Mathematical Modeling and Simulation of SWRO Process Based on Simultaneous Method

    OpenAIRE

    Jiang, Aipeng; Ding, Qiang; Wang, Jian; Jiangzhou, Shu; Cheng, Wen; Xing, Changxin

    2014-01-01

    Reverse osmosis (RO) technique is one of the most efficient ways for seawater desalination to solve the shortage of freshwater. For prediction and analysis of the performance of seawater reverse osmosis (SWRO) process, an accurate and detailed model based on the solution-diffusion and mass transfer theory is established. Since the accurate formulation of the model includes many differential equations and strong nonlinear equations (differential and algebraic equations, DAEs), to solve the pro...

  20. Mathematical Modeling and Simulation of SWRO Process Based on Simultaneous Method

    OpenAIRE

    Aipeng Jiang; Qiang Ding; Jian Wang; Shu Jiangzhou; Wen Cheng; Changxin Xing

    2013-01-01

    Reverse osmosis (RO) technique is one of the most efficient ways for seawater desalination to solve the shortage of freshwater. For prediction and analysis of the performance of seawater reverse osmosis (SWRO) process, an accurate and detailed model based on the solution-diffusion and mass transfer theory is established. Since the accurate formulation of the model includes many differential equations and strong nonlinear equations (differential and algebraic equations, DAEs), to solve the pro...

  1. Differential Cyclic Voltammetry - a Novel Technique for Selective and Simultaneous Detection using Redox Cycling Based Sensors

    OpenAIRE

    Odijk, M.; Wiedemair, J.; Megen, M.J.J; Olthuis, W.; Van den Berg, A.

    2010-01-01

    Redox cycling (RC) is an effect that is used to amplify electrochemical signals. However, traditional techniques such as cyclic voltammetry (CV) do not provide clear insight for a mixture of multiple redox couples while RC is applied. Thus, we have developed a new measurement technique which delivers electrochemical spectra of all reversible redox couples present based on concentrations and standard potentials. This technique has been named differential cyclic voltammetry (DCV). We have fabri...

  2. Prognostic Health Monitoring System: Component Selection Based on Risk Criteria and Economic Benefit Assessment

    International Nuclear Information System (INIS)

    Prognostic health monitoring (PHM) is a proactive approach to monitor the ability of structures, systems, and components (SSCs) to withstand structural, thermal, and chemical loadings over the SSCs planned service lifespans. The current efforts to extend the operational license lifetime of the aging fleet of U.S. nuclear power plants from 40 to 60 years and beyond can benefit from a systematic application of PHM technology. Implementing a PHM system would strengthen the safety of nuclear power plants, reduce plant outage time, and reduce operation and maintenance costs. However, a nuclear power plant has thousands of SSCs, so implementing a PHM system that covers all SSCs requires careful planning and prioritization. This paper therefore focuses on a component selection that is based on the analysis of a component's failure probability, risk, and cost. Ultimately, the decision on component selection depend on the overall economical benefits arising from safety and operational considerations associated with implementing the PHM system.

  3. Prognostic Health Monitoring System: Component Selection Based on Risk Criteria and Economic Benefit Assessment

    International Nuclear Information System (INIS)

    Prognostic health monitoring (PHM) is a proactive approach to monitor the ability of structures, systems, and components (SSCs) to withstand structural, thermal, and chemical loadings over the SSCs planned service lifespan. The current efforts to extend the operational license lifetime of the aging fleet of U.S. nuclear power plants from 40 to 60 years and beyond can benefit from a systematic application of PHM technology. Implementing a PHM system would strengthen the safety of nuclear power plants, reduce plant outage time, and reduce operation and maintenance costs. However, a nuclear power plant has thousands of SSCs, so implementing a PHM system that covers all SSCs requires careful planning and prioritization. This paper therefore focuses on a component selection that is based on the analysis of a component's failure probability, risk, and cost. Ultimately, the decision on component selection depends on the overall economical benefits arising from safety and operational considerations associated with implementing the PHM system. (author)

  4. Forecast method for used number of parts and components based on complex network

    Institute of Scientific and Technical Information of China (English)

    LIU Fu-yun; QI Guo-ning; YANG Qing-hai

    2006-01-01

    Applying directed complex network to model the main structure of a product family,according to in-degree bi-logarithmic coordinate distribution curve and distribution rule of nodes of the network,in-degree evolving rule of nodes of the network is presented and analytic expression of in-degree probability density of nodes is derived.Through the analysis of the relation between existing kinds of components and existing product numbers,an expression of the relation between kinds of components and product numbers is derived.A forecast method for the increment of component numbers and parts based on the increment of products is presented.As an example,the component numbers of an industrial steam turbine product family is forecasted,forecast result verified and forecast error analyzed.

  5. Reduction of a collisional-radiative mechanism for argon plasma based on principal component analysis

    International Nuclear Information System (INIS)

    This article considers the development of reduced chemistry models for argon plasmas using Principal Component Analysis (PCA) based methods. Starting from an electronic specific Collisional-Radiative model, a reduction of the variable set (i.e., mass fractions and temperatures) is proposed by projecting the full set on a reduced basis made up of its principal components. Thus, the flow governing equations are only solved for the principal components. The proposed approach originates from the combustion community, where Manifold Generated Principal Component Analysis (MG-PCA) has been developed as a successful reduction technique. Applications consider ionizing shock waves in argon. The results obtained show that the use of the MG-PCA technique enables for a substantial reduction of the computational time

  6. A new process monitoring method based on noisy time structure independent component analysis

    Institute of Scientific and Technical Information of China (English)

    Lianfang Cai; Xuemin Tian

    2015-01-01

    Conventional process monitoring method based on fast independent component analysis (FastICA) cannot take the ubiquitous measurement noises into account and may exhibit degraded monitoring performance under the adverse effects of the measurement noises. In this paper, a new process monitoring approach based on noisy time structure ICA (NoisyTSICA) is proposed to solve such problem. A NoisyTSICA algorithm which can consider the measurement noises explicitly is firstly developed to estimate the mixing matrix and extract the independent components (ICs). Subsequently, a monitoring statistic is built to detect process faults on the basis of the recur-sive kurtosis estimations of the dominant ICs. Lastly, a contribution plot for the monitoring statistic is constructed to identify the fault variables based on the sensitivity analysis. Simulation studies on the continuous stirred tank reactor system demonstrate that the proposed NoisyTSICA-based monitoring method outperforms the conven-tional FastICA-based monitoring method.

  7. Issues on Component Based Architectures Utilization for Real Time Control Applications

    Directory of Open Access Journals (Sweden)

    ZMARANDA Doina

    2011-05-01

    Full Text Available Generally, real-time embedded controlsystems are very demanding from the timing pointof view. Increasing complexity and criticality ofsuch systems leads to a challenge regarding theirdesign and programming model. Severaldevelopment models were proposed in the literature,all of them could be grouped into two categories:models based on event triggered approach andmodels based on timed triggered approach. Thispaper focuses on two of the most knownprogramming models that exhibit componentarchitecture: Giotto - based on timed triggeredapproach, and timed multitasking - based on eventtriggered approach. Based on the survey of eachmodel capabilities and component structure, theadvantages and drawbacks in utilization for realtimeembedded systems are analyzed in the paperand several conclusions are drawn.

  8. System Description and First Application of an FPGA-Based Simultaneous Multi-Frequency Electrical Impedance Tomography

    Directory of Open Access Journals (Sweden)

    Susana Aguiar Santos

    2016-07-01

    Full Text Available A new prototype of a multi-frequency electrical impedance tomography system is presented. The system uses a field-programmable gate array as a main controller and is configured to measure at different frequencies simultaneously through a composite waveform. Both real and imaginary components of the data are computed for each frequency and sent to the personal computer over an ethernet connection, where both time-difference imaging and frequency-difference imaging are reconstructed and visualized. The system has been tested for both time-difference and frequency-difference imaging for diverse sets of frequency pairs in a resistive/capacitive test unit and in self-experiments. To our knowledge, this is the first work that shows preliminary frequency-difference images of in-vivo experiments. Results of time-difference imaging were compared with simulation results and shown that the new prototype performs well at all frequencies in the tested range of 60 kHz–960 kHz. For frequency-difference images, further development of algorithms and an improved normalization process is required to correctly reconstruct and interpreted the resulting images.

  9. System Description and First Application of an FPGA-Based Simultaneous Multi-Frequency Electrical Impedance Tomography.

    Science.gov (United States)

    Aguiar Santos, Susana; Robens, Anne; Boehm, Anna; Leonhardt, Steffen; Teichmann, Daniel

    2016-01-01

    A new prototype of a multi-frequency electrical impedance tomography system is presented. The system uses a field-programmable gate array as a main controller and is configured to measure at different frequencies simultaneously through a composite waveform. Both real and imaginary components of the data are computed for each frequency and sent to the personal computer over an ethernet connection, where both time-difference imaging and frequency-difference imaging are reconstructed and visualized. The system has been tested for both time-difference and frequency-difference imaging for diverse sets of frequency pairs in a resistive/capacitive test unit and in self-experiments. To our knowledge, this is the first work that shows preliminary frequency-difference images of in-vivo experiments. Results of time-difference imaging were compared with simulation results and shown that the new prototype performs well at all frequencies in the tested range of 60 kHz-960 kHz. For frequency-difference images, further development of algorithms and an improved normalization process is required to correctly reconstruct and interpreted the resulting images. PMID:27463715

  10. A wavelet based algorithm for the identification of oscillatory event-related potential components.

    Science.gov (United States)

    Aniyan, Arun Kumar; Philip, Ninan Sajeeth; Samar, Vincent J; Desjardins, James A; Segalowitz, Sidney J

    2014-08-15

    Event related potentials (ERPs) are very feeble alterations in the ongoing electroencephalogram (EEG) and their detection is a challenging problem. Based on the unique time-based parameters derived from wavelet coefficients and the asymmetry property of wavelets a novel algorithm to separate ERP components in single-trial EEG data is described. Though illustrated as a specific application to N170 ERP detection, the algorithm is a generalized approach that can be easily adapted to isolate different kinds of ERP components. The algorithm detected the N170 ERP component with a high level of accuracy. We demonstrate that the asymmetry method is more accurate than the matching wavelet algorithm and t-CWT method by 48.67 and 8.03 percent, respectively. This paper provides an off-line demonstration of the algorithm and considers issues related to the extension of the algorithm to real-time applications. PMID:24931710

  11. DNA-based Simultaneous Identification of Three Terminalia Species Targeting Adulteration

    Science.gov (United States)

    Sharma, Sonal; Shrivastava, Neeta

    2016-01-01

    Background: Various parts of three Terminalia species, namely, Terminalia arjuna (stem bark), Terminalia bellirica (fruit), and Terminalia chebula (fruit) are widely known for their therapeutic principles and other commercial values. However, stem bark of T. bellirica and T. chebula along with Terminalia tomentosa are reported as adulterants of T. arjuna. Correct botanical identification is very critical for safe and effective herbal drugs. DNA-based identification approaches are advancing the conventional methods and sometime proved more beneficial. Objective: The purpose of the study was to develop polymerase chain reaction (PCR) method using internal transcribed spacer (ITS) region to ascertain the identity of T. arjuna herbal material as well as detection of mixing of other three Terminalia species. Materials and Methods: DNA from stem barks samples were isolated and subjected to ITS region amplification and sequencing. Sequences were compared for polymorphic nucleotides determination to develop species-specific primers. Final primers were selected on the basis of in silico analysis and experimentally validated. PCR assays for botanical identification of Terminalia species were developed. Sensitivity testing and assay validation were also performed. Results: The PCR assays developed for Terminalia species were resulted in definite amplicons of the corresponding species. No cross-reactivity of the primers was detected. Sensitivity was found enough to amplify as low as 2 ng of DNA. Mixing of DNA in various concentrations for validation also proved the sensitivity of assay to detect original botanicals in the mixture. The developed methods proved very specific and sensitive to authenticate Arjuna bark to develop evidence-based herbal medicines. SUMMARY Internal transcribed spacer-based species-specific polymerase chain reaction.(PCR) assays were developed to authenticate Terminalia arjuna stem bark and to identify substitution/adulteration of Terminalia bellirica

  12. Simultaneous Removal of COS and H2S at Low Temperatures over Nanoparticle α-FeOOH Based Catalysts

    Institute of Scientific and Technical Information of China (English)

    Zhihua Gao; Chunhu Li; Kechang Xie

    2003-01-01

    Catalysts using α-FeOOH nanoparticles as the active ingredient were tested by a microreactor-chromatography assessing apparatus at atmospheric pressure between 25 and 60 ℃ with a gas hourly spacevelocity of 10,000 h-1, while the removal performance of H2S with catalysts was investigated using thethermal gravimetric method. The results show that the catalysts are highly active for COS hydrolysis atlow temperatures (≤60 ℃) and high gas hourly space velocity, and the highest activity can reach 100%. Thecatalyst is particularly stable for 12 h, and no deactivation is observed. Nanoparticle α-FeOOH preparedusing hydrated iron sulfate shows higher COS hydrolysis activity, and the optimum calcination temperaturefor the catalyst is 260 ℃. In addition, the catalysts can remove COS and H2S simultaneously, and 60 ℃ isfavorable for the removal of H2S. The compensation effect exists in nanoparticle-based catalysts.

  13. Simultaneous generation of tunable giant dispersive waves in the visible and mid-infrared regions based on photonic crystal fibers

    International Nuclear Information System (INIS)

    Cherenkov radiation (CR) in both the visible and mid-infrared regions is simultaneously generated experimentally based on a photonic crystal fiber with two zero-dispersion wavelengths. The generation of CR in the visible region originates from solitons located in the anomalous group velocity dispersion (GVD) regime which are perturbed by positive third order dispersion. Conversely, the generation of CR in the mid-infrared region requires that the solitons in the anomalous GVD regime are perturbed by negative third order dispersion. The peak wavelength of the CR in the visible region can be tuned from 498 to 425 nm by increasing the average input pump power from 70 to 400 mW, while the peak wavelength of the CR in the mid-infrared region can be tuned from 1986 to 2279 nm by increasing the average input pump power from 70 to 320 mW. (paper)

  14. Simultaneous acquisition of 3D shape and deformation by combination of interferometric and correlation-based laser speckle metrology.

    Science.gov (United States)

    Dekiff, Markus; Berssenbrügge, Philipp; Kemper, Björn; Denz, Cornelia; Dirksen, Dieter

    2015-12-01

    A metrology system combining three laser speckle measurement techniques for simultaneous determination of 3D shape and micro- and macroscopic deformations is presented. While microscopic deformations are determined by a combination of Digital Holographic Interferometry (DHI) and Digital Speckle Photography (DSP), macroscopic 3D shape, position and deformation are retrieved by photogrammetry based on digital image correlation of a projected laser speckle pattern. The photogrammetrically obtained data extend the measurement range of the DHI-DSP system and also increase the accuracy of the calculation of the sensitivity vector. Furthermore, a precise assignment of microscopic displacements to the object's macroscopic shape for enhanced visualization is achieved. The approach allows for fast measurements with a simple setup. Key parameters of the system are optimized, and its precision and measurement range are demonstrated. As application examples, the deformation of a mandible model and the shrinkage of dental impression material are measured. PMID:26713197

  15. Enhancing the Dialogue in Simultaneous Class-Based and Live Video-Streamed Teaching

    DEFF Research Database (Denmark)

    Jelsbak, Vibe Alopaeus; Ørngreen, Rikke; Thorsen, Jonas;

    2015-01-01

    from home via the Internet. In live video-streamed teaching classes teachers tend to choose one-way communication instead of dialogue. We know from our early findings that technology issues are one of the main reasons for this, since the same teachers use dialogue and discussions in traditional...... teaching. This paper describes a work-in-progress project focused on developing possibilities for a more dialogue-based approach to live video-streamed teaching. We present our new setup and argue for educational designs which this is believed to support, and we outline the research design for collecting...... and analysing data. The first analysis and interpretations will be discussed at the ECEL 2015 conference poster session....

  16. Enhancing the Dialogue in Simultaneous Class-Based and Live Video-Streamed Teaching

    DEFF Research Database (Denmark)

    Jelsbak, Vibe Alopaeus; Bendsen, Thomas; Thorsen, Jonas;

    2015-01-01

    or to work from home via the Internet. In live video-streamed teaching classes teachers tend to choose one-way communication instead of dialogue. We know from our early findings that technology issues are one of the main reasons for this, since the same teachers use dialogue and discussions in...... traditional teaching. This paper describes a work-in-progress project focused on developing possibilities for a more dialogue-based approach to live video-streamed teaching. We present our new setup and argue for educational de- signs which this is believed to support, and we outline the research design for...... collecting and analysing data. The first analysis and interpretations will be discussed at the ECEL 2015 conference poster session....

  17. Simultaneous genomic identification and profiling of a single cell using semiconductor-based next generation sequencing

    Directory of Open Access Journals (Sweden)

    Manabu Watanabe

    2014-09-01

    Full Text Available Combining single-cell methods and next-generation sequencing should provide a powerful means to understand single-cell biology and obviate the effects of sample heterogeneity. Here we report a single-cell identification method and seamless cancer gene profiling using semiconductor-based massively parallel sequencing. A549 cells (adenocarcinomic human alveolar basal epithelial cell line were used as a model. Single-cell capture was performed using laser capture microdissection (LCM with an Arcturus® XT system, and a captured single cell and a bulk population of A549 cells (≈106 cells were subjected to whole genome amplification (WGA. For cell identification, a multiplex PCR method (AmpliSeq™ SNP HID panel was used to enrich 136 highly discriminatory SNPs with a genotype concordance probability of 1031–35. For cancer gene profiling, we used mutation profiling that was performed in parallel using a hotspot panel for 50 cancer-related genes. Sequencing was performed using a semiconductor-based bench top sequencer. The distribution of sequence reads for both HID and Cancer panel amplicons was consistent across these samples. For the bulk population of cells, the percentages of sequence covered at coverage of more than 100× were 99.04% for the HID panel and 98.83% for the Cancer panel, while for the single cell percentages of sequence covered at coverage of more than 100× were 55.93% for the HID panel and 65.96% for the Cancer panel. Partial amplification failure or randomly distributed non-amplified regions across samples from single cells during the WGA procedures or random allele drop out probably caused these differences. However, comparative analyses showed that this method successfully discriminated a single A549 cancer cell from a bulk population of A549 cells. Thus, our approach provides a powerful means to overcome tumor sample heterogeneity when searching for somatic mutations.

  18. Real-time measurement of the fast axis angle of a quarter-wave plate based on simultaneous phase shifting technique

    Institute of Scientific and Technical Information of China (English)

    Kun Yang; Aijun Zeng; Xiangzhao Wang; Hua Wang; Feng Tang

    2008-01-01

    Real-time measurement of the fast axis angle of a quarter-wave plate based on simultaneous phase shifting technique is presented. The simultaneous phase shifting function is realized by an orthogonal grating, a diaphragm, an analyzer array, and a 4-quadrant detector. The intensities of the light beams from the four analyzers with different azimuths are measured simultaneously. The fast axis angle of the quarter-wave plate is obtained through the four light intensity values. In this method, rotating elements are not required, so real-time measurement is achieved.

  19. Multi-component based cross correlation beat detection in electrocardiogram analysis

    Directory of Open Access Journals (Sweden)

    Owens Frank J

    2004-07-01

    Full Text Available Abstract Background The first stage in computerised processing of the electrocardiogram is beat detection. This involves identifying all cardiac cycles and locating the position of the beginning and end of each of the identifiable waveform components. The accuracy at which beat detection is performed has significant impact on the overall classification performance, hence efforts are still being made to improve this process. Methods A new beat detection approach is proposed based on the fundamentals of cross correlation and compared with two benchmarking approaches of non-syntactic and cross correlation beat detection. The new approach can be considered to be a multi-component based variant of traditional cross correlation where each of the individual inter-wave components are sought in isolation as opposed to being sought in one complete process. Each of three techniques were compared based on their performance in detecting the P wave, QRS complex and T wave in addition to onset and offset markers for 3000 cardiac cycles. Results Results indicated that the approach of multi-component based cross correlation exceeded the performance of the two benchmarking techniques by firstly correctly detecting more cardiac cycles and secondly provided the most accurate marker insertion in 7 out of the 8 categories tested. Conclusion The main benefit of the multi-component based cross correlation algorithm is seen to be firstly its ability to successfully detect cardiac cycles and secondly the accurate insertion of the beat markers based on pre-defined values as opposed to performing individual gradient searches for wave onsets and offsets following fiducial point location.

  20. A Service Discovery and Automatic Deployment Component-Based Software Infrastructure for Ubiquitous Computing

    OpenAIRE

    FLISSI, A; GRANSART, C; Merle, P.

    2005-01-01

    International audience Software applications running on mobile devices are more and more needed. These applications have strong requirements to address: device heterogeneity, limited resources, networked communications, and security. Moreover it is required to have appropriate application design, discovery, deployment, and execution paradigms. These requirements are similar to those of any ubiquitous computing application. In this paper, we present a component-based software infrastructure...

  1. 78 FR 6344 - Certain Wireless Communications Base Stations and Components Thereof Notice of Receipt of...

    Science.gov (United States)

    2013-01-30

    ...Notice is hereby given that the U.S. International Trade Commission has received a complaint entitled Certain Wireless Communications Base Stations and Components Thereof, DN 2934; the Commission is soliciting comments on any public interest issues raised by the complaint or complainant's filing under section 210.8(b) of the Commission's Rules of Practice and Procedure (19 CFR...

  2. Performance Evaluation Of Selected Principal Component Analysis-Based Techniques For Face Image Recognition

    Directory of Open Access Journals (Sweden)

    Aluko J. Olubunmi

    2015-01-01

    Full Text Available Abstract Principal Component Analysis PCA is an eigen-based technique popularly employed in redundancy removal and feature extraction for face image recognition. In this study performance evaluation of three selected PCA-based techniques was conducted for face recognition. Principal Component Analysis Binary Principal Component Analysis BPCA and Principal Component Analysis Artificial Neural Network PCA-ANN were selected for performance evaluation. A database of 400 50x50 pixels images consisting of 100 different individuals each individual having 4 images with different facial expressions was created. Three hundred images were used for training while 100 images were used for testing the three face recognition systems. The systems were subjected to three selected eigenvectors 75 150 and 300 to determine the effect of the size of eigenvectors on the recognition rate of the systems. The performances of the techniques were evaluated based on recognition rate and total recognition time.The performance evaluation of the three PCA-based systems showed that PCA ANN technique gave the best recognition rate of 94 with a trade-off in recognition time. Also the recognition rates of PCA and B-PCA increased with decreasing number of eigenvectors but PCA-ANN recognition rate was negligible.

  3. Entropy-based automated classification of independent components separated from fMCG

    Energy Technology Data Exchange (ETDEWEB)

    Comani, S [ITAB-Institute of Advanced Biomedical Technologies, University Foundation ' G. D' Annunzio' (Italy); Srinivasan, V [ITAB-Institute of Advanced Biomedical Technologies, University Foundation ' G. D' Annunzio' (Italy); Alleva, G [ITAB-Institute of Advanced Biomedical Technologies, University Foundation ' G. D' Annunzio' (Italy); Romani, G L [ITAB-Institute of Advanced Biomedical Technologies, University Foundation ' G. D' Annunzio' (Italy)

    2007-03-07

    Fetal magnetocardiography (fMCG) is a noninvasive technique suitable for the prenatal diagnosis of the fetal heart function. Reliable fetal cardiac signals can be reconstructed from multi-channel fMCG recordings by means of independent component analysis (ICA). However, the identification of the separated components is usually accomplished by visual inspection. This paper discusses a novel automated system based on entropy estimators, namely approximate entropy (ApEn) and sample entropy (SampEn), for the classification of independent components (ICs). The system was validated on 40 fMCG datasets of normal fetuses with the gestational age ranging from 22 to 37 weeks. Both ApEn and SampEn were able to measure the stability and predictability of the physiological signals separated with ICA, and the entropy values of the three categories were significantly different at p <0.01. The system performances were compared with those of a method based on the analysis of the time and frequency content of the components. The outcomes of this study showed a superior performance of the entropy-based system, in particular for early gestation, with an overall ICs detection rate of 98.75% and 97.92% for ApEn and SampEn respectively, as against a value of 94.50% obtained with the time-frequency-based system. (note)

  4. Effective Web Design and Core Communication Issues: The Missing Components in Web-Based Distance Education.

    Science.gov (United States)

    Burch, Randall O.

    2001-01-01

    Discussion of Web-based distance education focuses on communication issues. Highlights include Internet communications; components of a Web site, including site architecture, user interface, information delivery method, and mode of feedback; elements of Web design, including conceptual design, sensory design, and reactive design; and a Web…

  5. Development of geophysical and geochemical data processing software based on component GIS

    International Nuclear Information System (INIS)

    Based on component GIS and mixed programming techniques, a software which combines the basic GIS functions, conventional and unconventional data process methods for the regional geophysical and geochemical data together, is designed and developed. The software has many advantages, such as friendly interface, easy to use and utility functions and provides a useful platform for regional geophysical and geochemical data processing. (authors)

  6. A new approach for simultaneously retrieving cloud albedo and cloud fraction from surface-based shortwave radiation measurements

    International Nuclear Information System (INIS)

    Surface-based measurements of shortwave (SW) radiative fluxes contain valuable information on cloud properties, but have not been fully used to infer those properties. Here a new analytical approach is presented that simultaneously infers cloud albedo and cloud fraction from surface-based measurements of total and direct radiative fluxes. An inspection of the analytical formulation reveals that cloud fraction is primarily determined by the relative cloud radiative forcing for the direct radiation, defined as the difference between the clear-sky and all-sky direct downwelling radiative fluxes normalized by the clear-sky direct downwelling radiative fluxes, while cloud albedo is primarily determined by the ratio of the relative cloud radiative forcing for the total downwelling radiation to the relative cloud radiative forcing for the direct radiation. The new analytical approach is validated using synthetic measurements generated by the rapid radiative transfer model (RRTM) algorithm with known cloud inputs and some surface- and satellite-based measurements. The effect of cloud absorption is further corrected based on a suite of numerical experiments. The new approach demonstrates the utility of partitioning total radiation into direct and diffuse radiation, and eliminates the potential contamination of errors in existing approaches that retrieve cloud fraction and cloud albedo separately. (letter)

  7. A Wavelet Based Algorithm for the Identification of Oscillatory Event-Related Potential Components

    OpenAIRE

    A., Arun Kumar; Philip, Ninan Sajeeth; Samar, Vincent J; Desjardins, James A; Segalowitz, Sidney J.

    2014-01-01

    Event Related Potentials (ERPs) are very feeble alterations in the ongoing Electroencephalogram (EEG) and their detection is a challenging problem. Based on the unique time-based parameters derived from wavelet coefficients and the asymmetry property of wavelets a novel algorithm to separate ERP components in single-trial EEG data is described. Though illustrated as a specific application to N170 ERP detection, the algorithm is a generalized approach that can be easily adapted to isolate diff...

  8. A connected component-based method for efficiently integrating multiscale $N$-body systems

    OpenAIRE

    Jänes, Jürgen; Pelupessy, Federico I.; Zwart, Simon F. Portegies

    2014-01-01

    We present a novel method for efficient direct integration of gravitational N-body systems with a large variation in characteristic time scales. The method is based on a recursive and adaptive partitioning of the system based on the connected components of the graph generated by the particle distribution combined with an interaction-specific time step criterion. It uses an explicit and approximately time-symmetric time step criterion, and conserves linear and angular momentum to machine preci...

  9. A component-based product line architecture for workflow management systems

    OpenAIRE

    Lazilha, Fabrício Ricardo; Barroca, Leonor; de Oliveira Junior, Edson Alves; de Souza Gimenes, Itana Maria

    2004-01-01

    This paper presents a component-based product line for workflow management systems. The process followed to design the product line was based on the Catalysis method. Extensions were made to represent variability across the process. The domain of workflow management systems has been shown to be appropriate to the application of the product line approach as there are a standard architecture and models established by a regulatory board, the Workflow Management Coalition. In addition, there is a...

  10. A Network Framework Based on MechanicalComponent Design and Manufacturing

    Institute of Scientific and Technical Information of China (English)

    顾立志; 陈光军; 杨康

    2004-01-01

    Network manufacturing has been rapidly developed and is going to play an important role in modern indusu'y. The core of network manufacturing of mechanical products is the design and manufacturing based on the computer network technology. A network framework is introduced for manufacturing mechanical components at two main levels. On the design level features of the component are initially studied based on the structure and functions of the component. Details of the design procedure and contents are then analyzed with three main kinds of components. In this stage, selection of materials, calculation of sla'ess and deflection under load, determination of the size are carried out using CAD. On the manufacturing level various aspects of CAPP are discussed, including the principle and the modes of positioning the component, the exerted clamping forces, cutting engagement and input parameters, machine tools used, and machining fluids if necessary. Finally a prototype of the network framework is presented with several pieces of data terminal equipment through a local area network, the topological structure, and data sharing and security, without concerning the use of the concurrent engineering techniques and virtual manufacturing, and virtual measuring techniques.

  11. Color Image Watermarking using Cycle Spinning based Sharp Frequency Localized Contourlet Transform and Principal Component Analysis

    Directory of Open Access Journals (Sweden)

    K.Kishore Kumar

    2012-10-01

    Full Text Available This paper describes a new approach for color image watermarking using Cycle Spinning based Sharp Frequency Localized Contourlet Transform and Principal Component Analysis. The approach starts with decomposition of images into various subbands using Contourlet Transform(CT successively for all the color spaces of both host and watermark images. Then principal components of middle band(x bands are considered for inserting operation. The ordinary contourlet transform suffers from lack of frequency localization. The localization being the most important criterion for watermarking, the conventional CT is not very suitable for watermarking. This problem of CT is over come by Sharp Frequency Localized Contourlet, but this lacks of translation invariance. Hence the cycle spinning based sharp frequency localized contourlet chosen for watermarking. Embedding at middle level sub bands(x band preserves the curve nature of edges in the host image hence less disturbance is observed when host and watermark images are compared. This result in very good Peak Signal to Noise Ratio (PSNR instead of directly adding of mid frequency components of watermark and host images the principal components are only added. Likewise the amount of payload to be added is reduced hence host images get very less distortion. Usage of principal components also helps in fruitful extraction of watermark information from host image hence gives good correlation between input watermark and extracted one. This technique has shown a very high robustness under various intentional and non intentional attacks.

  12. Nanoscale spatially resolved simultaneous measurement of in-plane and out-of-plane force components on surfaces: a novel operational mode in atomic force microscopy

    Science.gov (United States)

    Watson, Gregory S.; Dinte, Bradley P.; Blach, Jolanta A.; Myhra, Sverre

    2002-11-01

    The atomic force microscope (AFM) allows investigation of the properties of surfaces and interfaces at atomic scale resolution. However, several different operational modes, (imaging, force versus distance and lateral force modes), need to be deployed in order to gain insight into the structure, tribological and mechanical properties. A new method, based on a variation of the force versus distance mode, has been developed. In essence, a coupling of the deformational modes of the probe is exploited whereby the tip is induced to undergo lateral travel in response to application of an out-of-plane force (and thus normal bending of the force-sensing lever). The lateral travel induces in-plane forces that are then measurable as a consequence of stimulation of the 'buckling' deformational mode of the lever. Due to the lever geometry, the technique offers an increase in resolution of an order of magnitude over existing AFM methods for measurement of atomic scale stick-slip events. In addition, the method allows measurement of the lateral deformation of the sample as well as scanner calibration. Outcomes will be demonstrated for atomically flat surfaces such as WTe2 and highly oriented pyrolytic graphite.

  13. Optimisation of Simultaneous Tl-201/Tc-99m Dual Isotope Reconstruction with Monte-Carlo-Based Scatter Correction

    Directory of Open Access Journals (Sweden)

    Tuija Kangasmaa

    2012-01-01

    Full Text Available Simultaneous Tl-201/Tc-99m dual isotope myocardial perfusion SPECT is seriously hampered by down-scatter from Tc-99m into the Tl-201 energy window. This paper presents and optimises the ordered-subsets-expectation-maximisation-(OS-EM- based reconstruction algorithm, which corrects the down-scatter using an efficient Monte Carlo (MC simulator. The algorithm starts by first reconstructing the Tc-99m image with attenuation, collimator response, and MC-based scatter correction. The reconstructed Tc-99m image is then used as an input for an efficient MC-based down-scatter simulation of Tc-99m photons into the Tl-201 window. This down-scatter estimate is finally used in the Tl-201 reconstruction to correct the crosstalk between the two isotopes. The mathematical 4D NCAT phantom and physical cardiac phantoms were used to optimise the number of OS-EM iterations where the scatter estimate is updated and the number of MC simulated photons. The results showed that two scatter update iterations and 105 simulated photons are enough for the Tc-99m and Tl-201 reconstructions, whereas 106 simulated photons are needed to generate good quality down-scatter estimates. With these parameters, the entire Tl-201/Tc-99m dual isotope reconstruction can be accomplished in less than 3 minutes.

  14. STING Millennium: a web-based suite of programs for comprehensive and simultaneous analysis of protein structure and sequence

    Science.gov (United States)

    Neshich, Goran; Togawa, Roberto C.; Mancini, Adauto L.; Kuser, Paula R.; Yamagishi, Michel E. B.; Pappas, Georgios; Torres, Wellington V.; Campos, Tharsis Fonseca e; Ferreira, Leonardo L.; Luna, Fabio M.; Oliveira, Adilton G.; Miura, Ronald T.; Inoue, Marcus K.; Horita, Luiz G.; de Souza, Dimas F.; Dominiquini, Fabiana; Álvaro, Alexandre; Lima, Cleber S.; Ogawa, Fabio O.; Gomes, Gabriel B.; Palandrani, Juliana F.; dos Santos, Gabriela F.; de Freitas, Esther M.; Mattiuz, Amanda R.; Costa, Ivan C.; de Almeida, Celso L.; Souza, Savio; Baudet, Christian; Higa, Roberto H.

    2003-01-01

    STING Millennium Suite (SMS) is a new web-based suite of programs and databases providing visualization and a complex analysis of molecular sequence and structure for the data deposited at the Protein Data Bank (PDB). SMS operates with a collection of both publicly available data (PDB, HSSP, Prosite) and its own data (contacts, interface contacts, surface accessibility). Biologists find SMS useful because it provides a variety of algorithms and validated data, wrapped-up in a user friendly web interface. Using SMS it is now possible to analyze sequence to structure relationships, the quality of the structure, nature and volume of atomic contacts of intra and inter chain type, relative conservation of amino acids at the specific sequence position based on multiple sequence alignment, indications of folding essential residue (FER) based on the relationship of the residue conservation to the intra-chain contacts and Cα–Cα and Cβ–Cβ distance geometry. Specific emphasis in SMS is given to interface forming residues (IFR)—amino acids that define the interactive portion of the protein surfaces. SMS may simultaneously display and analyze previously superimposed structures. PDB updates trigger SMS updates in a synchronized fashion. SMS is freely accessible for public data at http://www.cbi.cnptia.embrapa.br, http://mirrors.rcsb.org/SMS and http://trantor.bioc.columbia.edu/SMS. PMID:12824333

  15. Simultaneous gains tuning in boiler/turbine PID-based controller clusters using iterative feedback tuning methodology.

    Science.gov (United States)

    Zhang, Shu; Taft, Cyrus W; Bentsman, Joseph; Hussey, Aaron; Petrus, Bryan

    2012-09-01

    Tuning a complex multi-loop PID based control system requires considerable experience. In today's power industry the number of available qualified tuners is dwindling and there is a great need for better tuning tools to maintain and improve the performance of complex multivariable processes. Multi-loop PID tuning is the procedure for the online tuning of a cluster of PID controllers operating in a closed loop with a multivariable process. This paper presents the first application of the simultaneous tuning technique to the multi-input-multi-output (MIMO) PID based nonlinear controller in the power plant control context, with the closed-loop system consisting of a MIMO nonlinear boiler/turbine model and a nonlinear cluster of six PID-type controllers. Although simplified, the dynamics and cross-coupling of the process and the PID cluster are similar to those used in a real power plant. The particular technique selected, iterative feedback tuning (IFT), utilizes the linearized version of the PID cluster for signal conditioning, but the data collection and tuning is carried out on the full nonlinear closed-loop system. Based on the figure of merit for the control system performance, the IFT is shown to deliver performance favorably comparable to that attained through the empirical tuning carried out by an experienced control engineer. PMID:22633781

  16. Bioinspired Protein Channel-Based Scanning Ion Conductance Microscopy (Bio-SICM) for Simultaneous Conductance and Specific Molecular Imaging.

    Science.gov (United States)

    Macazo, Florika C; White, Ryan J

    2016-03-01

    The utility of stochastic single-molecule detection using protein nanopores has found widespread application in bioanalytical sensing as a result of the inherent signal amplification of the resistive pulse method. Integration of protein nanopores with high-resolution scanning ion conductance microscopy (SICM) extends the utility of SICM by enabling selective chemical imaging of specific target molecules, while simultaneously providing topographical information about the net ion flux through a pore under a concentration gradient. In this study, we describe the development of a bioinspired scanning ion conductance microscopy (bio-SICM) approach that couples the imaging ability of SICM with the sensitivity and chemical selectivity of protein channels to perform simultaneous pore imaging and specific molecule mapping. To establish the framework of the bio-SICM platform, we utilize the well-studied protein channel α-hemolysin (αHL) to map the presence of β-cyclodextrin (βCD) at a substrate pore opening. We demonstrate concurrent pore and specific molecule imaging by raster scanning an αHL-based probe over a glass membrane containing a single 25-μm-diameter glass pore while recording the lateral positions of the probe and channel activity via ionic current. We use the average channel current to create a conductance image and the raw current-time traces to determine spatial localization of βCD. With further optimization, we believe that the bio-SICM platform will provide a powerful analytical methodology that is generalizable, and thus offers significant utility in a myriad of bioanalytical applications. PMID:26848947

  17. Integrated ultracompact and broadband wavelength demultiplexer based on multi-component nano-cavities

    Science.gov (United States)

    Lu, Cuicui; Liu, Yong-Chun; Hu, Xiaoyong; Yang, Hong; Gong, Qihuang

    2016-06-01

    Integrated nanoscale photonic devices have wide applications ranging from optical interconnects and optical computing to optical communications. Wavelength demultiplexer is an essential on-chip optical component which can separate the incident wavelength into different channels; however, the experimental progress is very limited. Here, using a multi-component nano-cavity design, we realize an ultracompact, broadband and high-contrast wavelength demultiplexer, with 2.3 μm feature size, 200 nm operation bandwidth (from 780 nm to 980 nm) and a contrast ratio up to 13.7 dB. The physical mechanism is based on the strong modulation of the surface plasmon polaritons induced by the multi-component nano-cavities, and it can be generalized to other nanoscale photonic devices. This provides a strategy for constructing on-chip photon routers, and also has applications for chip-integrated optical filter and optical logic gates.

  18. High-precision measurements of cementless acetabular components using model-based RSA: an experimental study

    DEFF Research Database (Denmark)

    Baad-Hansen, Thomas; Kold, Søren; Kaptein, Bart L;

    2007-01-01

    BACKGROUND: In RSA, tantalum markers attached to metal-backed acetabular cups are often difficult to detect on stereo radiographs due to the high density of the metal shell. This results in occlusion of the prosthesis markers and may lead to inconclusive migration results. Within the last few years......, new software systems have been developed to solve this problem. We compared the precision of 3 RSA systems in migration analysis of the acetabular component. MATERIAL AND METHODS: A hemispherical and a non-hemispherical acetabular component were mounted in a phantom. Both acetabular components...... underwent migration analyses with 3 different RSA systems: conventional RSA using tantalum markers, an RSA system using a hemispherical cup algorithm, and a novel model-based RSA system. RESULTS: We found narrow confidence intervals, indicating high precision of the conventional marker system and model...

  19. Component-based syntheses of trioxacarcin A, DC-45-A1 and structural analogues

    Science.gov (United States)

    Magauer, Thomas; Smaltz, Daniel J.; Myers, Andrew G.

    2013-10-01

    The trioxacarcins are polyoxygenated, structurally complex natural products that potently inhibit the growth of cultured human cancer cells. Here we describe syntheses of trioxacarcin A, DC-45-A1 and structural analogues by late-stage stereoselective glycosylation reactions of fully functionalized, differentially protected aglycon substrates. Key issues addressed in this work include the identification of an appropriate means to activate and protect each of the two 2-deoxysugar components, trioxacarcinose A and trioxacarcinose B, as well as a viable sequencing of the glycosidic couplings. The convergent, component-based sequence we present allows for rapid construction of structurally diverse, synthetic analogues that would be inaccessible by any other means, in amounts required to support biological evaluation. Analogues that arise from the modification of four of five modular components are assembled in 11 steps or fewer. The majority of these are found to be active in antiproliferative assays using cultured human cancer cells.

  20. Refinement and verification in component-based model-driven design

    DEFF Research Database (Denmark)

    Chen, Zhenbang; Liu, Zhiming; Ravn, Anders Peter; Stolz, Volker; Zhan, Naijun

    2009-01-01

    Modern software development is complex as it has to deal with many different and yet related aspects of applications. In practical software engineering this is now handled by a UML-like modelling approach in which different aspects are modelled by different notations. Component-based and object......-oriented design techniques are found effective in the support of separation of correctness concerns of different aspects. These techniques are practiced in a model-driven development process in which models are constructed in each phase of the development. To ensure the correctness of the software system...... of Refinement of Component and Object Systems (rCOS) and illustrates it with experiences from the work on the Common Component Modelling Example (CoCoME). This gives evidence that the formal techniques developed in rCOS can be integrated into a model-driven development process and shows where it may...

  1. Structure Analysis of Network Traffic Matrix Based on Relaxed Principal Component Pursuit

    CERN Document Server

    Wang, Zhe; Xu, Ke; Yin, Baolin

    2011-01-01

    The network traffic matrix is a kind of flow-level Internet traffic data and is widely applied to network operation and management. It is a crucial problem to analyze the composition and structure of traffic matrix; some mathematical approaches such as Principal Component Analysis (PCA) were used to handle that problem. In this paper, we first argue that PCA performs poorly for analyzing traffic matrixes polluted by large volume anomalies, then propose a new composition model of the network traffic matrix. According to our model, structure analysis can be formally defined as decomposing a traffic matrix into low-rank, sparse, and noise sub-matrixes, which is equal to the Robust Principal Component Analysis (RPCA) problem defined in [13]. Based on the Relaxed Principal Component Pursuit (Relaxed PCP) method and the Accelerated Proximal Gradient (APG) algorithm, an iterative algorithm for decomposing a traffic matrix is presented, and our experiment results demonstrate its efficiency and flexibility. At last, f...

  2. Corrosion of stainless steel battery components by bis(fluorosulfonyl)imide based ionic liquid electrolytes

    Science.gov (United States)

    Evans, Tyler; Olson, Jarred; Bhat, Vinay; Lee, Se-Hee

    2014-12-01

    While the anodic behavior of aluminum foil current collectors in imide-based room temperature ionic liquids (RTILs) is relatively well understood, interactions between such RTILs and other passive battery components have not been studied extensively. This study presents the solvent and potential dependent oxidation of SS316 coin-cell components in the N-methyl-N-propyl-pyrrolidinium bis(fluorosulfonyl)imide (PYR13FSI) RTIL. While this phenomenon prohibits high-voltage cycling of Li(Ni1/3Mn1/3Co1/3)O2 cathodes in SS316 coin-type cells, Al-clad cell components or alternative cell configurations can be utilized to avoid SS316 oxidation-induced cell failure.

  3. Full spectrum and selected spectrum based multivariate calibration methods for simultaneous determination of betamethasone dipropionate, clotrimazole and benzyl alcohol: Development, validation and application on commercial dosage form.

    Science.gov (United States)

    Darwish, Hany W; Elzanfaly, Eman S; Saad, Ahmed S; Abdelaleem, Abdelaziz El-Bayoumi

    2016-12-01

    Five different chemometric methods were developed for the simultaneous determination of betamethasone dipropionate (BMD), clotrimazole (CT) and benzyl alcohol (BA) in their combined dosage form (Lotriderm® cream). The applied methods included three full spectrum based chemometric techniques; namely principal component regression (PCR), Partial Least Squares (PLS) and Artificial Neural Networks (ANN), while the other two methods were PLS and ANN preceded by genetic algorithm procedure (GA-PLS and GA-ANN) as a wavelength selection procedure. A multilevel multifactor experimental design was adopted for proper construction of the models. A validation set composed of 12 mixtures containing different ratios of the three analytes was used to evaluate the predictive power of the suggested models. All the proposed methods except ANN, were successfully applied for the analysis of their pharmaceutical formulation (Lotriderm® cream). Results demonstrated the efficiency of the four methods as quantitative tool for analysis of the three analytes without prior separation procedures and without any interference from the co-formulated excipient. Additionally, the work highlighted the effect of GA on increasing the predictive power of PLS and ANN models. PMID:27327260

  4. A surface treatment technique of electrochemical oxidation to simultaneously improve the interfacial bonding strength and the tensile strength of PAN-based carbon fibers

    International Nuclear Information System (INIS)

    Electrochemical oxidation surface treatment of polyacrylonitrile-based carbon fibers (CFs) in 0.5 M ammonium oxalate aqueous solution for 94 s with the electric current density being 0.6 mA cm-2 resulted in simultaneous improvements of interfacial bonding strength and tensile strength by ∼8.6% and ∼16.6%, respectively. The improvements were due to the following reasons: (1) besides creating active surface functional groups, the electrochemical oxidation treatment with optimal processing conditions also generated a suitable electrolytic etching capability, which was powerful enough to remove mechanically weak carbonaceous components deposited on the surface of CFs, while was gentle enough not to distinguishably remove structurally ordered sheath region of CFs; (2) the treatment also refined the graphitic crystallites in the sheath region and created additional crystalline impingements/boundaries that could resist to crack growth; and (3) the electrochemical oxidation that preferably started from sharp edges including the tips of micro-cracks mitigated the stress development and propagation. XRD, SEM, Raman, FT-IR, XPS, and an electronic single-filament tensile tester were used to study the structural, morphological, chemical, and mechanical properties of the CFs before and after the treatment. A theoretical model, namely 'physical and chemical dual effects through layer-by-layer electrolytic etching', was proposed to explain the improvements.

  5. Implementation of intelligent nuclear material diagnosis module based on the component object model

    International Nuclear Information System (INIS)

    In this paper, the implementation techniques of intelligent nuclear material surveillance system based on the COM (Component Object Model) and SOM (Self Organized Mapping) was described. The surveillance system that is to be developed is consist of CCD cameras, neutron monitors, and PC for data acquisition. To develop the system, the properties of the COM based software development technology was investigated, and the characteristics of related platform APIs was summarized. This report could be used for the developers who want to develop the intelligent surveillance system for various experimental environments based on the DVR and sensors using Borland C++ Builder

  6. A novel prediction method about single components of analog circuits based on complex field modeling.

    Science.gov (United States)

    Zhou, Jingyu; Tian, Shulin; Yang, Chenglin

    2014-01-01

    Few researches pay attention to prediction about analog circuits. The few methods lack the correlation with circuit analysis during extracting and calculating features so that FI (fault indicator) calculation often lack rationality, thus affecting prognostic performance. To solve the above problem, this paper proposes a novel prediction method about single components of analog circuits based on complex field modeling. Aiming at the feature that faults of single components hold the largest number in analog circuits, the method starts with circuit structure, analyzes transfer function of circuits, and implements complex field modeling. Then, by an established parameter scanning model related to complex field, it analyzes the relationship between parameter variation and degeneration of single components in the model in order to obtain a more reasonable FI feature set via calculation. According to the obtained FI feature set, it establishes a novel model about degeneration trend of analog circuits' single components. At last, it uses particle filter (PF) to update parameters for the model and predicts remaining useful performance (RUP) of analog circuits' single components. Since calculation about the FI feature set is more reasonable, accuracy of prediction is improved to some extent. Finally, the foregoing conclusions are verified by experiments. PMID:25147853

  7. A Component-Based Vocabulary-Extensible Sign Language Gesture Recognition Framework

    Directory of Open Access Journals (Sweden)

    Shengjing Wei

    2016-04-01

    Full Text Available Sign language recognition (SLR can provide a helpful tool for the communication between the deaf and the external world. This paper proposed a component-based vocabulary extensible SLR framework using data from surface electromyographic (sEMG sensors, accelerometers (ACC, and gyroscopes (GYRO. In this framework, a sign word was considered to be a combination of five common sign components, including hand shape, axis, orientation, rotation, and trajectory, and sign classification was implemented based on the recognition of five components. Especially, the proposed SLR framework consisted of two major parts. The first part was to obtain the component-based form of sign gestures and establish the code table of target sign gesture set using data from a reference subject. In the second part, which was designed for new users, component classifiers were trained using a training set suggested by the reference subject and the classification of unknown gestures was performed with a code matching method. Five subjects participated in this study and recognition experiments under different size of training sets were implemented on a target gesture set consisting of 110 frequently-used Chinese Sign Language (CSL sign words. The experimental results demonstrated that the proposed framework can realize large-scale gesture set recognition with a small-scale training set. With the smallest training sets (containing about one-third gestures of the target gesture set suggested by two reference subjects, (82.6 ± 13.2% and (79.7 ± 13.4% average recognition accuracy were obtained for 110 words respectively, and the average recognition accuracy climbed up to (88 ± 13.7% and (86.3 ± 13.7% when the training set included 50~60 gestures (about half of the target gesture set. The proposed framework can significantly reduce the user’s training burden in large-scale gesture recognition, which will facilitate the implementation of a practical SLR system.

  8. A Component-Based Vocabulary-Extensible Sign Language Gesture Recognition Framework.

    Science.gov (United States)

    Wei, Shengjing; Chen, Xiang; Yang, Xidong; Cao, Shuai; Zhang, Xu

    2016-01-01

    Sign language recognition (SLR) can provide a helpful tool for the communication between the deaf and the external world. This paper proposed a component-based vocabulary extensible SLR framework using data from surface electromyographic (sEMG) sensors, accelerometers (ACC), and gyroscopes (GYRO). In this framework, a sign word was considered to be a combination of five common sign components, including hand shape, axis, orientation, rotation, and trajectory, and sign classification was implemented based on the recognition of five components. Especially, the proposed SLR framework consisted of two major parts. The first part was to obtain the component-based form of sign gestures and establish the code table of target sign gesture set using data from a reference subject. In the second part, which was designed for new users, component classifiers were trained using a training set suggested by the reference subject and the classification of unknown gestures was performed with a code matching method. Five subjects participated in this study and recognition experiments under different size of training sets were implemented on a target gesture set consisting of 110 frequently-used Chinese Sign Language (CSL) sign words. The experimental results demonstrated that the proposed framework can realize large-scale gesture set recognition with a small-scale training set. With the smallest training sets (containing about one-third gestures of the target gesture set) suggested by two reference subjects, (82.6 ± 13.2)% and (79.7 ± 13.4)% average recognition accuracy were obtained for 110 words respectively, and the average recognition accuracy climbed up to (88 ± 13.7)% and (86.3 ± 13.7)% when the training set included 50~60 gestures (about half of the target gesture set). The proposed framework can significantly reduce the user's training burden in large-scale gesture recognition, which will facilitate the implementation of a practical SLR system. PMID:27104534

  9. Development of web-based integrity evaluation system for primary components in a nuclear power plant

    International Nuclear Information System (INIS)

    A nuclear power plant is composed of a number of primary components. Maintaining the integrity of these components is one of the most critical issues in nuclear industry. In order to maintain the integrity of these primary components, a complicated procedure is required including periodical in-service inspection, failure assessment, fracture mechanics analysis, etc. Also, experts in different fields have to co-operate to resolve the integrity issues on the basis of inspection results. This integrity evaluation process usually takes long, and thus, is detrimental for the plant productivity. Therefore, an effective safety evaluation system is essential to manage integrity issues on a nuclear power plant. In this paper, a web-based integrity evaluation system for primary components in a nuclear power plant is proposed. The proposed system, which is named as WEBIES (web-based integrity evaluation system), has been developed in the form of 3-tier system architecture. The system consists of three servers; application program server, user interface program server and data warehouse server. The application program server includes the defect acceptance analysis module and the fracture mechanics analysis module which are programmed on the basis of ASME sec. XI, appendix A. The data warehouse server provides data for the integrity evaluation including material properties, geometry information, inspection data and stress data. The user interface program server provides information to all co- workers in the field of integrity evaluation. The developed system provides engineering knowledge-based information and concurrent and collaborative working environment through internet, and thus, is expected to raise the efficiency of integrity evaluation procedures on primary components of a nuclear power plant. (orig.)

  10. Development of a multiplexed bead-based immunoassay for the simultaneous detection of antibodies to 17 pneumococcal proteins.

    Science.gov (United States)

    Shoma, S; Verkaik, N J; de Vogel, C P; Hermans, P W M; van Selm, S; Mitchell, T J; van Roosmalen, M; Hossain, S; Rahman, M; Endtz, H Ph; van Wamel, W J B; van Belkum, A

    2011-04-01

    Presently, several pneumococcal proteins are being evaluated as potential vaccine candidates. Here, we gather novel insights in the immunogenicity of PLY, PsaA, PspA, PspC, NanA, Hyl, PpmA, SlrA, Eno, IgA1-protease, PdBD, BVH-3, SP1003, SP1633, SP1651, SP0189 and SP0376. We developed a multiplex bead-based immunoassay (xMAP(®) Technology, Luminex Corporation) to simultaneously quantify antibodies against these 17 pneumococcal proteins in serum. The median fluorescence intensity (MFI) values obtained for human pooled serum with the multiplex assay were between 82% and 111% (median 94%) of those obtained with the singleplex assays. For IgG, the coefficient of variation (CV) in serum ranged from 2% to 9%, for IgA, the CV ranged from 3% to 14% and for IgM, the CV ranged from 11% to 15%. Using this immunoassay, we showed that anti-pneumococcal antibody levels exhibited extensive inter-individual variability in young children suffering from invasive pneumococcal disease. All proteins, including the proteins with, as yet, unknown function, were immunogenic. In conclusion, the multiplex Streptococcus pneumoniae immunoassay based on proteins is reproducible. This assay can be used to monitor anti-S. pneumoniae antibody responses in a material- and time-saving manner. PMID:21086008

  11. Simultaneous Retrieval of Aerosol and Surface Optical Properties from Combined Airborne- and Ground-Based Direct and Diffuse Radiometric Measurements

    Science.gov (United States)

    Gatebe, C. K.; Dubovik, O.; King, M. D.; Sinyuk, A.

    2010-01-01

    This paper presents a new method for simultaneously retrieving aerosol and surface reflectance properties from combined airborne and ground-based direct and diffuse radiometric measurements. The method is based on the standard Aerosol Robotic Network (AERONET) method for retrieving aerosol size distribution, complex index of refraction, and single scattering albedo, but modified to retrieve aerosol properties in two layers, below and above the aircraft, and parameters on surface optical properties from combined datasets (Cloud Absorption Radiometer (CAR) and AERONET data). A key advantage of this method is the inversion of all available spectral and angular data at the same time, while accounting for the influence of noise in the inversion procedure using statistical optimization. The wide spectral (0.34-2.30 m) and angular range (180 ) of the CAR instrument, combined with observations from an AERONET sunphotometer, provide sufficient measurement constraints for characterizing aerosol and surface properties with minimal assumptions. The robustness of the method was tested on observations made during four different field campaigns: (a) the Southern African Regional Science Initiative 2000 over Mongu, Zambia, (b) the Intercontinental Transport Experiment-Phase B over Mexico City, Mexico (c) Cloud and Land Surface Interaction Campaign over the Atmospheric Radiation Measurement (ARM) Central Facility, Oklahoma, USA, and (d) the Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) over Elson Lagoon in Barrow, Alaska, USA. The four areas are dominated by different surface characteristics and aerosol types, and therefore provide good test cases for the new inversion method.

  12. Simultaneous retrieval of aerosol and surface optical properties from combined airborne- and ground-based direct and diffuse radiometric measurements

    Science.gov (United States)

    Gatebe, C. K.; Dubovik, O.; King, M. D.; Sinyuk, A.

    2010-03-01

    This paper presents a new method for simultaneously retrieving aerosol and surface reflectance properties from combined airborne and ground-based direct and diffuse radiometric measurements. The method is based on the standard Aerosol Robotic Network (AERONET) method for retrieving aerosol size distribution, complex index of refraction, and single scattering albedo, but modified to retrieve aerosol properties in two layers, below and above the aircraft, and parameters on surface optical properties from combined datasets (Cloud Absorption Radiometer (CAR) and AERONET data). A key advantage of this method is the inversion of all available spectral and angular data at the same time, while accounting for the influence of noise in the inversion procedure using statistical optimization. The wide spectral (0.34-2.30 μm) and angular range (180°) of the CAR instrument, combined with observations from an AERONET sunphotometer, provide sufficient measurement constraints for characterizing aerosol and surface properties with minimal assumptions. The robustness of the method was tested on observations made during four different field campaigns: (a) the Southern African Regional Science Initiative 2000 over Mongu, Zambia, (b) the Intercontinental Transport Experiment-Phase B over Mexico City, Mexico (c) Cloud and Land Surface Interaction Campaign over the Atmospheric Radiation Measurement (ARM) Central Facility, Oklahoma, USA, and (d) the Arctic Research of the Composition of the Troposphere from Aircraft and Satellites (ARCTAS) over Elson Lagoon in Barrow, Alaska, USA. The four areas are dominated by different surface characteristics and aerosol types, and therefore provide good test cases for the new inversion method.

  13. Generalized Bloch's theorem for viscous metamaterials: Dispersion and effective properties based on frequencies and wavenumbers that are simultaneously complex

    Science.gov (United States)

    Frazier, Michael J.; Hussein, Mahmoud I.

    2016-05-01

    It is common for dispersion curves of damped periodic materials to be based on real frequencies as a function of complex wavenumbers or, conversely, real wavenumbers as a function of complex frequencies. The former condition corresponds to harmonic wave motion where a driving frequency is prescribed and where attenuation due to dissipation takes place only in space alongside spatial attenuation due to Bragg scattering. The latter condition, on the other hand, relates to free wave motion admitting attenuation due to energy loss only in time while spatial attenuation due to Bragg scattering also takes place. Here, we develop an algorithm for 1D systems that provides dispersion curves for damped free wave motion based on frequencies and wavenumbers that are permitted to be simultaneously complex. This represents a generalized application of Bloch's theorem and produces a dispersion band structure that fully describes all attenuation mechanisms, in space and in time. The algorithm is applied to a viscously damped mass-in-mass metamaterial exhibiting local resonance. A frequency-dependent effective mass for this damped infinite chain is also obtained. xml:lang="fr"

  14. Blind Separation of Acoustic Signals Combining SIMO-Model-Based Independent Component Analysis and Binary Masking

    Directory of Open Access Journals (Sweden)

    Hiekata Takashi

    2006-01-01

    Full Text Available A new two-stage blind source separation (BSS method for convolutive mixtures of speech is proposed, in which a single-input multiple-output (SIMO-model-based independent component analysis (ICA and a new SIMO-model-based binary masking are combined. SIMO-model-based ICA enables us to separate the mixed signals, not into monaural source signals but into SIMO-model-based signals from independent sources in their original form at the microphones. Thus, the separated signals of SIMO-model-based ICA can maintain the spatial qualities of each sound source. Owing to this attractive property, our novel SIMO-model-based binary masking can be applied to efficiently remove the residual interference components after SIMO-model-based ICA. The experimental results reveal that the separation performance can be considerably improved by the proposed method compared with that achieved by conventional BSS methods. In addition, the real-time implementation of the proposed BSS is illustrated.

  15. In vivo quantitative evaluation of vascular parameters for angiogenesis based on sparse principal component analysis and aggregated boosted trees

    International Nuclear Information System (INIS)

    To solve the multicollinearity issue and unequal contribution of vascular parameters for the quantification of angiogenesis, we developed a quantification evaluation method of vascular parameters for angiogenesis based on in vivo micro-CT imaging of hindlimb ischemic model mice. Taking vascular volume as the ground truth parameter, nine vascular parameters were first assembled into sparse principal components (PCs) to reduce the multicolinearity issue. Aggregated boosted trees (ABTs) were then employed to analyze the importance of vascular parameters for the quantification of angiogenesis via the loadings of sparse PCs. The results demonstrated that vascular volume was mainly characterized by vascular area, vascular junction, connectivity density, segment number and vascular length, which indicated they were the key vascular parameters for the quantification of angiogenesis. The proposed quantitative evaluation method was compared with both the ABTs directly using the nine vascular parameters and Pearson correlation, which were consistent. In contrast to the ABTs directly using the vascular parameters, the proposed method can select all the key vascular parameters simultaneously, because all the key vascular parameters were assembled into the sparse PCs with the highest relative importance. (paper)

  16. Simultaneous Multi-vehicle Detection and Tracking Framework with Pavement Constraints Based on Machine Learning and Particle Filter Algorithm

    Institute of Scientific and Technical Information of China (English)

    WANG Ke; HUANG Zhi; ZHONG Zhihua

    2014-01-01

    Due to the large variations of environment with ever-changing background and vehicles with different shapes, colors and appearances, to implement a real-time on-board vehicle recognition system with high adaptability, efficiency and robustness in complicated environments, remains challenging. This paper introduces a simultaneous detection and tracking framework for robust on-board vehicle recognition based on monocular vision technology. The framework utilizes a novel layered machine learning and particle filter to build a multi-vehicle detection and tracking system. In the vehicle detection stage, a layered machine learning method is presented, which combines coarse-search and fine-search to obtain the target using the AdaBoost-based training algorithm. The pavement segmentation method based on characteristic similarity is proposed to estimate the most likely pavement area. Efficiency and accuracy are enhanced by restricting vehicle detection within the downsized area of pavement. In vehicle tracking stage, a multi-objective tracking algorithm based on target state management and particle filter is proposed. The proposed system is evaluated by roadway video captured in a variety of traffics, illumination, and weather conditions. The evaluating results show that, under conditions of proper illumination and clear vehicle appearance, the proposed system achieves 91.2% detection rate and 2.6% false detection rate. Experiments compared to typical algorithms show that, the presented algorithm reduces the false detection rate nearly by half at the cost of decreasing 2.7%–8.6% detection rate. This paper proposes a multi-vehicle detection and tracking system, which is promising for implementation in an on-board vehicle recognition system with high precision, strong robustness and low computational cost.

  17. Risk-based management of remaining life of power plant components

    International Nuclear Information System (INIS)

    The paper describes application of different modules of the MPA-System ALIAS in risk-based management of remaining life of power plant components. The system allows comprehensive coverage of all aspects of the remaining life management, including also the risk analysis and risk management. In addition, thanks to the modular character of the system it is also possible to implement new methods: In the case described here, a new (probabilistic) method for determination of the next inspection time for the components exposed to creep loading has been developed and implemented in the system. Practical application of the method has shown (a) that the mean values obtained by the method fall into the range of results obtained by other methods (based on expert knowledge), and (b) that it is possible to quantify the probability of aberration from the mean values. This in turn allows quantifying the additional risks linked to e.g. prolonging of inspection intervals. (orig.)

  18. Spectral network based on component cells under the SOPHIA European project

    International Nuclear Information System (INIS)

    In the frame of the European project SOPHIA, a spectral network based on component (also called isotypes) cells has been created. Among the members of this project, several spectral sensors based on component cells and collimating tubes, so-called spectroheliometers, were installed in the last years, allowing the collection of minute-resolution spectral data useful for CPV systems characterization across Europe. The use of spectroheliometers has been proved useful to establish the necessary spectral conditions to perform power rating of CPV modules and systems. If enough data in a given period of time is collected, ideally a year, it is possible to characterize spectrally the place where measurements are taken, in the same way that hours of annual irradiation can be estimated using a pyrheliometer

  19. Spectral network based on component cells under the SOPHIA European project

    Energy Technology Data Exchange (ETDEWEB)

    Núñez, Rubén, E-mail: ruben.nunez@ies-def.upm.es; Antón, Ignacio; Askins, Steve; Sala, Gabriel [Instituto de Energía Solar - Universidad Politécnica de Madrid, Ciudad Universitaria, 28040 Madrid (Spain); Domínguez, César; Voarino, Philippe [CEA-INES, 50 avenue du Lac Léman, 73375 Le Bourget-du-Lac (France); Steiner, Marc; Siefer, Gerald [Fraunhofer ISE, Heidenhofstr. 2, 79110 Freiburg (Germany); Fucci, Rafaelle; Roca, Franco [ENEA, P.le E.Fermi 1, Località Granatello, 80055 Portici (Italy); Minuto, Alessandro; Morabito, Paolo [RSE, Via Rubattino 54, 20134 Milan (Italy)

    2015-09-28

    In the frame of the European project SOPHIA, a spectral network based on component (also called isotypes) cells has been created. Among the members of this project, several spectral sensors based on component cells and collimating tubes, so-called spectroheliometers, were installed in the last years, allowing the collection of minute-resolution spectral data useful for CPV systems characterization across Europe. The use of spectroheliometers has been proved useful to establish the necessary spectral conditions to perform power rating of CPV modules and systems. If enough data in a given period of time is collected, ideally a year, it is possible to characterize spectrally the place where measurements are taken, in the same way that hours of annual irradiation can be estimated using a pyrheliometer.

  20. Economic-based design of engineering systems with degrading components using probabilistic loss of quality

    International Nuclear Information System (INIS)

    The allocation of means and tolerances to provide quality, functional reliability and performance reliability in engineering systems is a challenging problem. Traditional measures to help select the best means and tolerances include mean time to failure and its variance: however, they have some shortcomings. In this paper, a monetary measure based on present worth is invoked as a more inclusive metric. We consider the sum of the production cost and the expected loss of quality cost over a planned horizon at the customer's discount rates. Key to the approach is a probabilistic loss of quality cost that incorporates the cumulative distribution function that arises from time-variant distributions of system performance measures due to degrading components. The proposed design approach investigates both degradation and uncertainty in component. Moreover, it tries to obviate problems of current Taguchi's loss function-based design approaches. Case studies show the practicality and promise of the approach

  1. A pattern language for the evolution of component-based software architectures

    OpenAIRE

    Ahmad, Aakash; Jamshidi, Pooyan; Pahl, Claus; Khaliq, Fawad

    2014-01-01

    Architecture-centric software evolution enables change in a system’s structure and behaviour while maintaining a global view of the software to address evolution-centric trade-offs. The existing solutions for architectural maintenance and evolution fall short of exploiting generic and reusable expertise to address recurring evolution problems. We present a pattern language as a collection of interconnected change patterns that enable reuse-driven and consistent evolution of component-based so...

  2. FORECASTING THE FINANCIAL RETURNS FOR USING MULTIPLE REGRESSION BASED ON PRINCIPAL COMPONENT ANALYSIS

    Directory of Open Access Journals (Sweden)

    Nop Sopipan

    2013-01-01

    Full Text Available The aim of this study was to forecast the returns for the Stock Exchange of Thailand (SET Index by adding some explanatory variables and stationary Autoregressive order p (AR (p in the mean equation of returns. In addition, we used Principal Component Analysis (PCA to remove possible complications caused by multicollinearity. Results showed that the multiple regressions based on PCA, has the best performance.

  3. The Analysis of the Components of Project-Based Learning on Social Network

    OpenAIRE

    Kuntida Thamwipat; Napassawan Yookong

    2012-01-01

    This research aims to analyze the components of project based learning on social network, case study of presentation skill course. The study was carried out with 98 representatives of 2nd– 3rdyear students of EducationalCommunications and Technology Department, 2ndsemester, academic year 2554, who was studying ETM 205 Presentation Skill. 5 point-rating scale questionnaire was used as the research tool for data collection for analyzing the obtained data which has the reliability as 0.94 and...

  4. An event- and repository-based component framework for workflow system architecture

    OpenAIRE

    Tombros, Dimitrios

    1999-01-01

    During the past decade a new class of systems has emerged, which plays an important role in the support of efficient business process implementation: workflow systems. Despite their proliferation however, workflow systems are still being developed in an ad hoc way without making use of advanced software engineering technologies such as component-based system development and reuse of architecture artifacts.This work proposes a modern approach to workflow system construction. The approach is ce...

  5. An Intuitionistic Fuzzy Methodology for Component-Based Software Reliability Optimization

    DEFF Research Database (Denmark)

    Madsen, Henrik; Grigore, Albeanu; Popenţiuvlǎdicescu, Florin

    2012-01-01

    Component-based software development is the current methodology facilitating agility in project management, software reuse in design and implementation, promoting quality and productivity, and increasing the reliability and performability. This paper illustrates the usage of intuitionistic fuzzy...... degree approach in modelling the quality of entities in imprecise software reliability computing in order to optimize management results. Intuitionistic fuzzy optimization algorithms are proposed to be used for complex software systems reliability optimization under various constraints....

  6. Optimization of sheet components locating scheme based on improved particle swarm optimization

    OpenAIRE

    Zhang, Heng; Xing, Yanfeng

    2015-01-01

    The current sheet components locating scheme optimization needs a great deal of finite element analysis, which limits the fixture design efficiency. To reduce finite element analysis times, this paper proposes a modified particle swarm optimization algorithm based on the inertia weight, and through the secondary development of finite element software, the improved particle swarm optimization is applied to fixture locating scheme design. Taking the front fender of some vehicle as the living ex...

  7. A Component-Based Conference Control Model and Implementation for Loosely Coupled Sessions

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    Conference control is a very important core part to compose a complete Internet multimedia conference system and has been a hot research area over the years, but there are currently no widely accepted robust and scalable solutions and standards. This paper proposes a component-based conference control model for loosely coupled sessions in which media applications can collaborate with a Session Controller(SC) to provide the conference control. A SC prototype has been built.

  8. Prototypic implementations of the building block for component based open Hypermedia systems (BB/CB-OHSs)

    DEFF Research Database (Denmark)

    Mohamed, Omer I. Eldai

    2005-01-01

    In this paper we describe the prototypic implementations of the BuildingBlock (BB/CB-OHSs) that proposed to address some of the Component-based Open Hypermedia Systems (CB-OHSs) issues, including distribution and interoperability [4, 11, 12]. Four service implementations were described below. The....... These are the math service, navigational service, naming and location service and the storage service in addition to two communication protocols (TCP/IP and JAVA RMI)....

  9. An engineering process for security patterns application in component based models

    OpenAIRE

    Bouaziz, Rahma; Kallel, Slim; Coulette, Bernard

    2013-01-01

    Security engineering with patterns is currently a very active area of research. Security patterns - an adaptation of Design Patterns to security - capture experts' experience in order to solve recurrent security problems in a structured and reusable way. In this paper, our objective is to describe an engineering process, called SCRIP (SeCurity patteRn Integration Process), which provides guidelines for integrating security patterns into component-based models. SCRIP defines activities and pro...

  10. [Determination of film thickness, component and content based on glass surface by using XRF spectrometry].

    Science.gov (United States)

    Mei, Yan; Ma, Mi-Xia; Nie, Zuo-Ren

    2013-12-01

    Film thickness, component and content based on glass surface were determined by using XRF technic, measure condition and instrument work condition in every layer were set and adjusted for the best measure effect for every element. Background fundamental parameter (BG-FP) method was built up. Measure results with this method were consistent with the actual preparation course and the method could fit to production application. PMID:24611412

  11. Analysis and Evaluating Security of Component-Based Software Development: A Security Metrics Framework

    Directory of Open Access Journals (Sweden)

    Irshad Ahmad Mir

    2012-10-01

    Full Text Available Evaluating the security of software systems is a complex problem for the research communities due to the multifaceted and complex operational environment of the system involved. Many efforts towards the secure system development methodologies like secSDLC by Microsoft have been made but the measurement scale on which the security can be measured got least success. As with a shift in the nature of software development from standalone applications to distributed environment where there are a number of potential adversaries and threats present, security has been outlined and incorporated at the architectural level of the system and so is the need to evaluate and measure the level of security achieved . In this paper we present a framework for security evaluation at the design and architectural phase of the system development. We have outlined the security objectives based on the security requirements of the system and analyzed the behavior of various software architectures styles. As the component-based development (CBD is an important and widely used model to develop new large scale software due to various benefits like increased reuse, reduce time to market and cost. Our emphasis is on CBD and we have proposed a framework for the security evaluation of Component based software design and derived the security metrics for the main three pillars of security, confidentiality, integrity and availability based on the component composition, dependency and inter component data/information flow. The proposed framework and derived metrics are flexible enough, in way that the system developer can modify the metrics according to the situation and are applicable both at the development phases and as well as after development.

  12. Eight-component retrievals from ground-based MAX-DOAS observations

    OpenAIRE

    Irie, H.; Takashima, H; Kanaya, Y.; Boersma, K. F.; Gast, L; Wittrock, F.; Brunner, D.; Zhou, Y; Van Roozendael, M.

    2011-01-01

    We attempt for the first time to retrieve lower-tropospheric vertical profile information for 8 quantities from ground-based Multi-Axis Differential Optical Absorption Spectroscopy (MAX-DOAS) observations. The components retrieved are the aerosol extinction coefficients at two wavelengths, 357 and 476 nm and NO2, HCHO, CHOCHO, H2O, SO2, and O3 volume mixing ratios. A Japanese MAX-DOAS profile ret...

  13. The power of MOF-based meta-modeling of components

    Czech Academy of Sciences Publication Activity Database

    Hnětynka, P.; Plášil, František

    Los Alamitos : IEEE Computer Society, 2008, s. 67-72. ISBN 978-0-7695-3432-9. [ASEA 2008. International Conference on Advanced Software Engineering & Its Applications. Hainan Island (CN), 13.12.2008-15.12.2008] R&D Projects: GA AV ČR 1ET400300504 Institutional research plan: CEZ:AV0Z10300504 Keywords : component based systems * architecture modeling * model-driven development Subject RIV: JC - Computer Hardware ; Software

  14. School-based Multi-component Intervention. Symptoms of Iranian ADHD Children

    OpenAIRE

    Sepideh Shaban; Maznah Baba; Sidek Mohd Noah; Wan Marzuki Wan Jaafar

    2015-01-01

    The present study evaluated the effectiveness of school-based multi-component intervention that implemented for ADHD school-aged children specially. Participants were 64 school-aged ADHD children that randomly assigned in two study groups including one experimental and one control group. Teachers of these children were invited to participate in the teacher training. Teachers took part in 8 sessions teacher training that involved contingency management, cognitive behavioral strategies and clas...

  15. Higher heating value prediction of lignocellulosic crop based on their content of main components

    OpenAIRE

    Godin, Bruno; Ghysel, François; Agneessens, Richard; Gerin, Patrick A.; Stilmant, Didier; Delcarte, Jerome

    2010-01-01

    The efficiency of the energy recovery potential of lignocellulosic crops as solid biofuel depends on various characteristics. One of the main characteristics in this field is the higher heating value. It is defined as the amount of heat emitted by the combustion of a fuel, including the heat coming from the condensation of the water vapor. Its value depends on the content of main components of the lignocellulosic crops. Two models predicting the higher heating value have been built based on t...

  16. Higher heating value prediction of lignocellulosic crop based on their content of main components [abstract

    OpenAIRE

    Godin, B.; Ghysel, F.; Agneessens, R.; Gérin, PA.; Stilmant, D.; Delcarte, J.

    2010-01-01

    The efficiency of the energy recovery potential of lignocellulosic crops as solid biofuel depends on various characteristics. One of the main characteristics in this field is the higher heating value. It is defined as the amount of heat emitted by the combustion of a fuel, including the heat coming from the condensation of the water vapor. Its value depends on the content of main components of the lignocellulosic crops. Two models predicting the higher heating value have been built based on t...

  17. Data Management in Component-Based   Embedded Real-Time Systems

    OpenAIRE

    Hjertström, Andreas

    2012-01-01

    This thesis presents new data management techniques for run-time data in component-based embedded real-time systems. These techniques enable data to be modeled, analyzed and structured to improve data management during system development, maintenance, and execution. The foundation of our work is a case-study that identifies a number of problems with current state-of-practice in data management for industrial embedded real-time systems. We introduce two novel concepts: the data entity and the ...

  18. A component based noise correction method (CompCor) for BOLD and perfusion based fMRI.

    Science.gov (United States)

    Behzadi, Yashar; Restom, Khaled; Liau, Joy; Liu, Thomas T

    2007-08-01

    A component based method (CompCor) for the reduction of noise in both blood oxygenation level-dependent (BOLD) and perfusion-based functional magnetic resonance imaging (fMRI) data is presented. In the proposed method, significant principal components are derived from noise regions-of-interest (ROI) in which the time series data are unlikely to be modulated by neural activity. These components are then included as nuisance parameters within general linear models for BOLD and perfusion-based fMRI time series data. Two approaches for the determination of the noise ROI are considered. The first method uses high-resolution anatomical data to define a region of interest composed primarily of white matter and cerebrospinal fluid, while the second method defines a region based upon the temporal standard deviation of the time series data. With the application of CompCor, the temporal standard deviation of resting-state perfusion and BOLD data in gray matter regions was significantly reduced as compared to either no correction or the application of a previously described retrospective image based correction scheme (RETROICOR). For both functional perfusion and BOLD data, the application of CompCor significantly increased the number of activated voxels as compared to no correction. In addition, for functional BOLD data, there were significantly more activated voxels detected with CompCor as compared to RETROICOR. In comparison to RETROICOR, CompCor has the advantage of not requiring external monitoring of physiological fluctuations. PMID:17560126

  19. Damage Assessment of Aerospace Structural Components by Impedance Based Health Monitoring

    Science.gov (United States)

    Gyekenyesi, Andrew L.; Martin, Richard E.; Sawicki, Jerzy T.; Baaklini, George Y.

    2005-01-01

    This paper addresses recent efforts at the NASA Glenn Research Center at Lewis Field relating to the set-up and assessment of electro-mechanical (E/M) impedance based structural health monitoring. The overall aim is the application of the impedance based technique to aeronautic and space based structural components. As initial steps, a laboratory was created, software written, and experiments conducted on aluminum plates in undamaged and damaged states. A simulated crack, in the form of a narrow notch at various locations, was analyzed using piezoelectric-ceramic (PZT: lead, zirconate, titarate) patches as impedance measuring transducers. Descriptions of the impedance quantifying hardware and software are provided as well as experimental results. In summary, an impedance based health monitoring system was assembled and tested. The preliminary data showed that the impedance based technique was successful in recognizing the damage state of notched aluminum plates.

  20. Nonlinear Statistical Process Monitoring Based on Control Charts with Memory Effect and Kernel Independent Component Analysis

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    A novel nonlinear combination process monitoring method was proposed based on techniques with memory effect (multivariate exponentially weighted moving average (MEWMA)) and kernel independent component analysis (KICA). The method was developed for dealing with nonlinear issues and detecting small or moderate drifts in one or more process variables with autocorrelation. MEWMA charts use additional information from the past history of the process for keeping the memory effect of the process behavior trend. KICA is a recently developed statistical technique for revealing hidden, nonlinear statistically independent factors that underlie sets of measurements and it is a two-phase algorithm: whitened kernel principal component analysis (KPCA) plus independent component analysis (ICA). The application to the fluid catalytic cracking unit (FCCU) simulated process indicates that the proposed combined method based on MEWMA and KICA can effectively capture the nonlinear relationship and detect small drifts in process variables. Its performance significantly outperforms monitoring method based on ICA, MEWMA-ICA and KICA, especially for long-term performance deterioration.