The Experts below are selected from a list of 40350 Experts worldwide ranked by ideXlab platform
Xiande Fang - One of the best experts on this subject based on the ideXlab platform.
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Modeling of convective heat transfer of RP-3 aviation kerosene in vertical miniature tubes under supercritical pressure
International Journal of Heat and Mass Transfer, 2016Co-Authors: Weiwei Chen, Xiande FangAbstract:Abstract Aviation kerosene has been widely used in aviation and aerospace fields as both propellant and coolant for aircraft fuel systems and thermal management systems, where the supercritical heat transfer calculations are required. As a typical aviation fuel in China, RP-3 has gained much research interest on its heat transfer characteristics under supercritical pressure, resulting in many empirical correlations. However, the prediction accuracy of the existing correlations is not satisfactory and the pursuit of accuracy improvement remains needed. This paper proposes a new correlation based on the Database of RP-3 heat transfer in vertical tubes under supercritical pressure, which contains 1722 experimental data points compiled from six published papers. It has a mean absolute deviation (MAD) of 11.0%, predicting 83.7% of the Entire Database within ±20%, while the best existing model available in the literature only has an MAD of 24.1%, predicting 58.4% of the Entire Database within ±20%. Therefore, the new model improves the prediction accuracy of RP-3 heat transfer under supercritical pressure remarkably.
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a new correlation of flow boiling heat transfer coefficients for carbon dioxide
International Journal of Heat and Mass Transfer, 2013Co-Authors: Xiande FangAbstract:Abstract Carbon dioxide (CO 2 ) has remarkable different flow boiling heat transfer characteristics from conventional refrigerants when evaporating at similar temperatures, for which a CO 2 -specific correlation of evaporative heat transfer coefficients is necessary. A number of correlations for two-phase flow boiling heat transfer coefficients were proposed, among which some are CO 2 -specific. However, their prediction accuracies for CO 2 were not satisfactory. This work proposes a new CO 2 -specific correlation of flow boiling heat transfer coefficients based on the CO 2 Database of 2956 experimental data points collected from 13 independent studies. The new correlation incorporates a new dimensionless number and makes great progress in the prediction accuracy. It has a mean absolute deviation of 15.5%, and predicts 72.5% of the Entire Database within ±20% and 89.1% of the Entire Database within ±30%, far better than the most influential existing counterpart. The new dimensionless number is associated with the formation and departure of bubbles.
Tomáš Skopal - One of the best experts on this subject based on the ideXlab platform.
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ISBRA - On optimizing the non-metric similarity search in tandem mass spectra by clustering
Bioinformatics Research and Applications, 2012Co-Authors: Jiří Novák, David Hoksza, Jakub Lokoč, Tomáš SkopalAbstract:Tandem mass spectrometry is a well-known technique for identification of protein sequences from an "in vitro" sample. To identify the sequences from spectra captured by a spectrometer, the similarity search in a Database of hypothetical mass spectra is often used. For this purpose, a Database of known protein sequences is utilized to generate the hypothetical spectra. Since the number of sequences in the Databases grows rapidly over the time, several approaches have been proposed to index the Databases of mass spectra. In this paper, we improve an approach based on the non-metric similarity search where the M-tree and the TriGen algorithm are employed for fast and approximative search. We show that preprocessing of mass spectra by clustering speeds up the identification of sequences more than 100× with respect to the sequential scan of the Entire Database. Moreover, when the protein candidates are refined by sequential scan in the postprocessing step, the whole approach exhibits precision similar to that of sequential scan over the Entire Database (over 90%).
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SISAP - SimTandem: similarity search in tandem mass spectra
Similarity Search and Applications, 2012Co-Authors: Jiří Novák, David Hoksza, Jakub Galgonek, Tomáš SkopalAbstract:SimTandem is a tool for fast identification of protein and peptide sequences from tandem mass spectra. The identification is based on similarity search of spectra captured by a tandem mass spectrometer in Databases of theoretical mass spectra generated from Databases of known protein sequences. Since the number of protein sequences in the Databases grows rapidly and a sequential scan over the Entire Database of spectra is time-consuming, the non-metric access methods are employed as the Database indexing techniques. SimTandem is based on a previously proposed method and is freely available at http://www.simtandem.org or http://www.siret.cz/simtandem.
Michèle Walker - One of the best experts on this subject based on the ideXlab platform.
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Guides Directory. RefWorks citation management. Managing Your References.
2012Co-Authors: Michèle WalkerAbstract:guide to using RefWorks online reference management tool for producing formatted bibliographies and sharing references Share a folder of references or your Entire Database with colleagues
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Oxford LibGuides: RefWorks citation management: Managing Your References
2012Co-Authors: Michèle WalkerAbstract:guide to using RefWorks online reference management tool for producing formatted bibliographies and sharing references Share a folder of references or your Entire Database with colleagues
Taufik Fuadi Abidin - One of the best experts on this subject based on the ideXlab platform.
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Vertical Data Mining
Encyclopedia of Data Warehousing and Mining, 1Co-Authors: William Perrizo, Qiang Ding, Qin Ding, Taufik Fuadi AbidinAbstract:The volume of data keeps increasing. There are many data sets that have become extremely large. It is of importance and a challenge to develop scalable methodologies that can be used to perform efficient and effective data mining on large data sets. Vertical data mining strategy aims at addressing the scalability issues by organizing data in vertical layouts and conducting logical operations on vertical partitioned data instead of scanning the Entire Database horizontally.
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Encyclopedia of Data Warehousing and Mining - Vertical Data Mining on Very Large Data Sets
Encyclopedia of Data Warehousing and Mining Second Edition, 1Co-Authors: William Perrizo, Qiang Ding, Qin Ding, Taufik Fuadi AbidinAbstract:Due to the rapid growth of the volume of data that are available, it is of importance and challenge to develop scalable methodologies and frameworks that can be used to perform efficient and effective data mining on large data sets. Vertical data mining strategy aims at addressing the scalability issues by organizing data in vertical layouts and conducting logical operations on vertical partitioned data instead of scanning the Entire Database horizontally in order to perform various data mining tasks.
Jiří Novák - One of the best experts on this subject based on the ideXlab platform.
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ISBRA - On optimizing the non-metric similarity search in tandem mass spectra by clustering
Bioinformatics Research and Applications, 2012Co-Authors: Jiří Novák, David Hoksza, Jakub Lokoč, Tomáš SkopalAbstract:Tandem mass spectrometry is a well-known technique for identification of protein sequences from an "in vitro" sample. To identify the sequences from spectra captured by a spectrometer, the similarity search in a Database of hypothetical mass spectra is often used. For this purpose, a Database of known protein sequences is utilized to generate the hypothetical spectra. Since the number of sequences in the Databases grows rapidly over the time, several approaches have been proposed to index the Databases of mass spectra. In this paper, we improve an approach based on the non-metric similarity search where the M-tree and the TriGen algorithm are employed for fast and approximative search. We show that preprocessing of mass spectra by clustering speeds up the identification of sequences more than 100× with respect to the sequential scan of the Entire Database. Moreover, when the protein candidates are refined by sequential scan in the postprocessing step, the whole approach exhibits precision similar to that of sequential scan over the Entire Database (over 90%).
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SISAP - SimTandem: similarity search in tandem mass spectra
Similarity Search and Applications, 2012Co-Authors: Jiří Novák, David Hoksza, Jakub Galgonek, Tomáš SkopalAbstract:SimTandem is a tool for fast identification of protein and peptide sequences from tandem mass spectra. The identification is based on similarity search of spectra captured by a tandem mass spectrometer in Databases of theoretical mass spectra generated from Databases of known protein sequences. Since the number of protein sequences in the Databases grows rapidly and a sequential scan over the Entire Database of spectra is time-consuming, the non-metric access methods are employed as the Database indexing techniques. SimTandem is based on a previously proposed method and is freely available at http://www.simtandem.org or http://www.siret.cz/simtandem.