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Journal articles on the topic 'Phase selection'

Author: Grafiati

Published: 4 June 2021

Last updated: 4 February 2022

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1

BASHIRI, MAHDI, HOSSEIN BADRI, and JAFAR TALEBI. "A NEW FUZZY APPROACH FOR PROJECT SELECTION WITH OUTSOURCING VIEWPOINT." International Journal of Innovation and Technology Management 08, no. 02 (2011): 227–51. http://dx.doi.org/10.1142/s0219877011002349.

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Nowadays most of the organizations tend to outsource their projects. In these cases, two major problems arise: project selection and contractor selection. There are many papers which have argued separately about project and contractor selections. In this paper, we propose a decision support system for selecting projects and related contractors. The proposed approach contains three phases including contractors' prequalification (Phase 1), computing success coefficient of each contractor in projects using fuzzy TOPSIS method (Phase 2), and selecting projects and assigning each project to the mos

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2

Ma, Jing, Wei Ma, Xiangsheng Zhu, et al. "A Novel Fault Phase Selection Scheme Utilizing Fault Phase Selection Factors." Electric Power Components and Systems 43, no. 5 (2015): 491–507. http://dx.doi.org/10.1080/15325008.2014.992499.

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3

Mohite, Aditya D., and Jean-Christophe Blancon. "Scaling-up phase selection." Nature Materials 17, no. 12 (2018): 1058–59. http://dx.doi.org/10.1038/s41563-018-0226-y.

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4

Dean, Bruce H., and Charles W. Bowers. "Diversity selection for phase-diverse phase retrieval." Journal of the Optical Society of America A 20, no. 8 (2003): 1490. http://dx.doi.org/10.1364/josaa.20.001490.

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5

Sandhu, Simran K., Christopher D. Bayliss, and Andrew Yu Morozov. "How does feedback from phage infections influence the evolution of phase variation in Campylobacter?" PLOS Computational Biology 17, no. 6 (2021): e1009067. http://dx.doi.org/10.1371/journal.pcbi.1009067.

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Campylobacter jejuni (C. jejuni) causes gastroenteritis following the consumption of contaminated poultry meat, resulting in a large health and economic burden worldwide. Phage therapy is a promising technique for eradicating C. jejuni from poultry flocks and chicken carcasses. However, C. jejuni can resist infections by some phages through stochastic, phase-variable ON/OFF switching of the phage receptors mediated by simple sequence repeats (SSR). While selection strength and exposure time influence the evolution of SSR-mediated phase variation (PV), phages offer a more complex evolutionary e

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6

Rosado, Luciana Domiciano Silva, Carlos Eduardo Magalhães dos Santos, Claudio Horst Bruckner, Endson Santana Nunes, and Cosme Damião Cruz. "Simultaneous selection in progenies of yellow passion fruit using selection indices." Revista Ceres 59, no. 1 (2012): 95–101. http://dx.doi.org/10.1590/s0034-737x2012000100014.

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This study aimed to evaluate the efficiency of simultaneous selection (selection indices) using estimated genetic gains in yellow passion fruit and to make a comparison between the methodologies of Mulamba & Mock and Elston. The study was conducted with 26 sib progenies of yellow passion fruit for intrinsic production characteristics including fruit number, fruit mass, fruit length and diameter, and for the fruit characteristics skin thickness, soluble solids and acidity. Two methodologies were applied: first, in the joint analysis of fruit characteristics and of intrinsic production chara

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7

Humbert, Michel, Nathalie Gey, and Lionel Germain. "Study and Modelling of Some Variant Selections in bcc to hcp Phase Transformations." Materials Science Forum 495-497 (September 2005): 1111–20. http://dx.doi.org/10.4028/www.scientific.net/msf.495-497.1111.

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One very often observes that the texture inheritance in BCC to HCP phase transformation shows variant selections, even though no external stress field is applied. These variant selections are related to the metallurgical state, the microstructure and the texture of the parent phase. From our own investigations, we came to the conclusion that the variant selections we observed in some phase transformations of various materials were influenced at different degrees by the elastic behaviour of the parent phase. Considering the transformation strain of each variant and the elastic anisotropy of the

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8

Eigen, Manfred. "Natural selection: a phase transition?" Biophysical Chemistry 85, no. 2-3 (2000): 101–23. http://dx.doi.org/10.1016/s0301-4622(00)00122-8.

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9

Fopp, P., M. Kolbe, F. Kargl, R. Kobold, W. Hornfeck, and T. Buslaps. "Phase selection in hypercooled alloys." Journal of Alloys and Compounds 834 (September 2020): 154439. http://dx.doi.org/10.1016/j.jallcom.2020.154439.

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10

Levi, C. G., V. Jayaram, J. J. Valencia, and R. Mehrabian. "Phase selection in electrohydrodynamic atomization of alumina." Journal of Materials Research 3, no. 5 (1988): 969–83. http://dx.doi.org/10.1557/jmr.1988.0969.

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Electrohydrodynamic atomization'has been adapted to produce Al2O3 powders ranging in size from 10 nm to 300 μm. Microstructural characterization using x-ray diffraction, scanning, and transmission electron microscopy reveals changes in phase selection as a function of particle size, hence supercooling. Amorphous powders are common below 100 nm in diameter. Cubic spinel γ is found in single phase form between 100 nm and 2μm, and partially transformed to δ between 2 and 20 μm. There is also evidence of σ and θ or a precursor of θ forming directly from the liquid above 5 μm. The stable corundum s

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11

Liu, Ning, Gen Cang Yang, and Feng Liu. "Microstructure and Phase Selection of Undercooled Single-Phase Fe-Co Alloy." Advanced Materials Research 154-155 (October 2010): 1624–28. http://dx.doi.org/10.4028/www.scientific.net/amr.154-155.1624.

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Fe-Co single-phase alloy melts with different Co contents were undercooled using fluxing method. The maximum undercooling DT = 457K (relative undercooling DT/Tm=0.259) was achieved in this work. At low undercooling (DT), single-phased microstructure was observed, but metastable bcc phase emerged in the as-solidified microstructure once DT exceeded a critical value, DTcrit. In the presence of classical nucleation theory, phase selection in the undercooled Fe-Co melt was investigated, and the theoretical calculation was coincided with the experimental result.

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12

Mansour, Nashat, and Wael Statieh. "Regression Test Selection for C# Programs." Advances in Software Engineering 2009 (July 2, 2009): 1–10. http://dx.doi.org/10.1155/2009/535708.

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We present a regression test selection technique for C# programs. C# is fairly new and is often used within the Microsoft .Net framework to give programmers a solid base to develop a variety of applications. Regression testing is done after modifying a program. Regression test selection refers to selecting a suitable subset of test cases from the original test suite in order to be rerun. It aims to provide confidence that the modifications are correct and did not affect other unmodified parts of the program. The regression test selection technique presented in this paper accounts for C#.Net sp

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13

Perepezko, J. H. "Nucleation controlled phase selection during solidification." Materials Science and Engineering: A 413-414 (December 2005): 389–97. http://dx.doi.org/10.1016/j.msea.2005.08.155.

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14

Sonpavde, Guru, Matthew D. Galsky, Thomas E. Hutson, and Daniel D. Von Hoff. "Patient Selection for Phase II Trials." American Journal of Clinical Oncology 32, no. 2 (2009): 216–19. http://dx.doi.org/10.1097/coc.0b013e318172dccd.

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15

Gránásy, L., S. Pekker, O. Chauvet, and L. Forró. "Phase selection and transformation kinetics inKC60." Physical Review B 54, no. 17 (1996): 11865–68. http://dx.doi.org/10.1103/physrevb.54.11865.

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16

Thomas, D. W. P., M. S. Jones, and C. Christopoulos. "Phase selection based on superimposed components." IEE Proceedings - Generation, Transmission and Distribution 143, no. 3 (1996): 295. http://dx.doi.org/10.1049/ip-gtd:19960292.

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17

Karsak, E. Ertugrul. "A two-phase robot selection procedure." Production Planning & Control 9, no. 7 (1998): 675–84. http://dx.doi.org/10.1080/095372898233678.

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18

McCullough, Colin, Denise S. Miller, and Carlos G. Levi. "Phase selection in undercooled ti3sn melts." Metallurgical Transactions A 24, no. 7 (1993): 1481–96. http://dx.doi.org/10.1007/bf02646589.

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19

Tang, Yaojing, Yongle Chang, Jinrui Tang, Bin Xu, Mingkang Ye, and Hongbo Yang. "A Novel Faulty Phase Selection Method for Single-Phase-to-Ground Fault in Distribution System Based on Transient Current Similarity Measurement." Energies 14, no. 15 (2021): 4695. http://dx.doi.org/10.3390/en14154695.

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In modern electrical power distribution systems, the effective operation of inverter-based arc suppression devices relies on the accuracy of faulty phase selection. In the traditional methods of faulty phase selection for single-phase-to-ground faults (SPGs), power frequency-based amplitude and phase characteristics are used to identify the faulty phase. In the field, when a high-resistance SPG occurs in the system, traditional methods are difficult for accurately identifying the faulty phase because of the weak fault components and complicated process. A novel realizable and effective method

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20

Samatov, Nematjon Akhmatovich. "Selection Of Flow Diagrams Of The Adjustable Thyristor Asynchronous Electric Actuator With Phase Control." American Journal of Engineering And Techonology 02, no. 11 (2020): 19–24. http://dx.doi.org/10.37547/tajet/volume02issue11-03.

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This article discusses the use of thyristors and the choice of a circuit in the control of adjustable asynchronous electric motors. The theoretical foundations and practical aspects of using various control schemes for asynchronous electric drives are presented.

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21

Qu, Yu Hai, Kai Jin Yang, Yan Tian Zhou, Yong Mao, Wei Zhang, and Si Yong Xu. "Phase Selection in Sub-Rapidly Solidified Au-20Sn Alloys." Materials Science Forum 817 (April 2015): 325–30. http://dx.doi.org/10.4028/www.scientific.net/msf.817.325.

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The sub-rapidly solidified Au-20Sn eutectic alloys were prepared by four different solidification pathways, such as, graphite mold conventional casting, graphite mold injection casting, copper mold injection casting, and water-cooled copper mold suction casting. The precipitating sequences of competing primary phases of sub-rapidly solidified Au-20Sn alloys with four different cooling rates were investigated. The results show that phase selection process is related to the cooling rates during sub-rapid solidification process. The primary ζ'-Au5Sn phase with developed dendrites precipitate at l

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22

Xu, Xiangfeng, Luzhong Cai, Hongguang Yuan, Qian Zhang, Guangcan Lu, and Chu Wang. "Phase shift selection for two-step generalized phase-shifting interferometry." Applied Optics 50, no. 34 (2011): H171. http://dx.doi.org/10.1364/ao.50.00h171.

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23

Jenkins, C. D. "Selection and the evolution of genetic life cycles." Genetics 133, no. 2 (1993): 401–10. http://dx.doi.org/10.1093/genetics/133.2.401.

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Abstract The evolution of haploid and diploid phases of the life cycle is investigated theoretically, using a model where the relative length of haploid and diploid phases is under genetic control. The model assumes that selection occurs in both phases and that fitness in each phase is a function of the time spent in that phase. The equilibrium and stability conditions that allow for all-haploid, all-diploid, or polyphasic life cycles are considered for general survivorship functions. Types of stable life cycles possible depend on the form of the viability selection. If mortality rates are con

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24

Eriksson, Kimmo, and Julie C. Coultas. "Corpses, Maggots, Poodles and Rats: Emotional Selection Operating in Three Phases of Cultural Transmission of Urban Legends." Journal of Cognition and Culture 14, no. 1-2 (2014): 1–26. http://dx.doi.org/10.1163/15685373-12342107.

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Abstract In one conception of cultural evolution, the evolutionary success of cultural units that are transmitted from individual to individual is determined by forces of cultural selection. Here we argue that it is helpful to distinguish between several distinct phases of the transmission process in which cultural selection can operate, such as a choose-to-receive phase, an encode-and-retrieve phase, and a choose-to-transmit phase. Here we focus on emotional selection in cultural transmission of urban legends, which has previously been shown to operate in the choose-to-transmit phase. In a se

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25

Sakamoto, Takahiro, and Hideki Innan. "Establishment of a new sex-determining allele driven by sexually antagonistic selection." G3 Genes|Genomes|Genetics 11, no. 1 (2020): 1–14. http://dx.doi.org/10.1093/g3journal/jkaa031.

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Abstract The turnover of sex-determining loci has repeatedly occurred in a number of species, rather than having a diverged pair of sex chromosomes. We model the turnover process by considering a linked locus under sexually antagonistic selection. The entire process of a turnover may be divided into two phases, which are referred to as the stochastic and deterministic phases. The stochastic phase is when a new sex-determining allele just arises and is still rare and random genetic drift plays an important role. In the deterministic phase, the new allele further increases in frequency by positi

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26

Chen, Yi Rui, and Yi Zhuang. "An Adaptive Decision Concurrency Control Algorithm." Advanced Materials Research 1046 (October 2014): 512–15. http://dx.doi.org/10.4028/www.scientific.net/amr.1046.512.

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For the lack of adaptability about the existing concurrency control algorithms, adaptive decision concurrency control algorithm is proposed. ADCC algorithm divides concurrency control process into two phases in: execution authorizing phase and strategy selecting phase. In execution authorizing phase, algorithm compares statistics and effectiveness of transactions to determine the execution order of conflict transactions. In strategy selecting phase, according to transactions’ read/write status and current conflict rate, algorithm selects optimistic/pessimistic conflict resolution strategy adap

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27

Wolinsky, Jerry S. "Patient selection for trials." Multiple Sclerosis Journal 23, no. 12 (2017): 1636–41. http://dx.doi.org/10.1177/1352458517729458.

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The last several decades have witnessed considerable progress in our understanding of the pathogenesis, refining diagnostic criteria, and identifying therapies of value for modifying the course of relapsing forms of multiple sclerosis. While the pace of progress has lagged for those with progressive phase disease, this now seems to be changing. This review considers those characteristics of patients with primary progressive multiple sclerosis that may contribute to phase 3 trial success and identifies some of the thorny issues that remain ahead. The larger of the studies conducted thus far hav

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28

Allen, C. M., K. A. Q. O'Reilly, B. Cantor, and P. V. Evans. "Intermetallic phase selection in 1XXX Al alloys." Progress in Materials Science 43, no. 2 (1998): 89–170. http://dx.doi.org/10.1016/s0079-6425(98)00003-6.

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29

Umeda, T., T. Okane, and W. Kurz. "Phase selection during solidification of peritectic alloys." Acta Materialia 44, no. 10 (1996): 4209–16. http://dx.doi.org/10.1016/s1359-6454(96)00038-9.

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30

Panciera, Federico, Zhaslan Baraissov, Gilles Patriarche, et al. "Phase Selection in Self-catalyzed GaAs Nanowires." Nano Letters 20, no. 3 (2020): 1669–75. http://dx.doi.org/10.1021/acs.nanolett.9b04808.

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31

Herlach, D. M., J. Gao, D. Holland-Moritz, and T. Volkmann. "Nucleation and phase-selection in undercooled melts." Materials Science and Engineering: A 375-377 (July 2004): 9–15. http://dx.doi.org/10.1016/j.msea.2003.10.308.

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32

Campione, Marcello, Massimo Moret, Luisa Raimondo, and Adele Sassella. "Kinetic Phase Selection of Rubrene Heteroepitaxial Domains." Journal of Physical Chemistry C 113, no. 49 (2009): 20927–33. http://dx.doi.org/10.1021/jp905752r.

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33

Refregier, Philippe, and Jean-Pierre Huignard. "Phase selection of synthetic discriminant function filters." Applied Optics 29, no. 32 (1990): 4772. http://dx.doi.org/10.1364/ao.29.004772.

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34

Papadopoulou, E. M., V. Manthou, and M. Vlachopoulou. "4PL network partnerships: the pre-selection phase." International Journal of Logistics Research and Applications 16, no. 3 (2013): 175–92. http://dx.doi.org/10.1080/13675567.2013.809708.

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35

Jennings, W. "Column and Stationary Phase Selection in GC." Journal of Chromatographic Science 28, no. 7 (1990): 385–88. http://dx.doi.org/10.1093/chromsci/28.7.385.

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36

Pretorius, R., and J. W. Mayer. "Silicide formation by concentration controlled phase selection." Journal of Applied Physics 81, no. 5 (1997): 2448–50. http://dx.doi.org/10.1063/1.364252.

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37

Munitz, A., M. Bamberger, A. Venkert, P. Landau, and R. Abbaschian. "Phase selection in supercooled Cu–Nb alloys." Journal of Materials Science 44, no. 1 (2009): 64–73. http://dx.doi.org/10.1007/s10853-008-3115-y.

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38

Vitorino, Nuno, João C. C. Abrantes, and Jorge R. Frade. "Quality criteria for phase change materials selection." Energy Conversion and Management 124 (September 2016): 598–606. http://dx.doi.org/10.1016/j.enconman.2016.07.063.

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39

Venkatesh, B., and J. Anuradha. "A fuzzy gaussian rank aggregation ensemble feature selection method for microarray data." International Journal of Knowledge-based and Intelligent Engineering Systems 24, no. 4 (2021): 289–301. http://dx.doi.org/10.3233/kes-190134.

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In Microarray Data, it is complicated to achieve more classification accuracy due to the presence of high dimensions, irrelevant and noisy data. And also It had more gene expression data and fewer samples. To increase the classification accuracy and the processing speed of the model, an optimal number of features need to extract, this can be achieved by applying the feature selection method. In this paper, we propose a hybrid ensemble feature selection method. The proposed method has two phases, filter and wrapper phase in filter phase ensemble technique is used for aggregating the feature ran

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40

Kumbhare, Prof Praful. "Auto Selection of Any Available Phase in 3 Phase Supply System." International Journal for Research in Applied Science and Engineering Technology 6, no. 4 (2018): 2029–33. http://dx.doi.org/10.22214/ijraset.2018.4343.

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41

Silva Bassani, M. H. da, John H. Perepezko, A. S. Edelstein, and Richard K. Everett. "Phase Selection and Sequence of Phase Formation in Al/Ni Multilayers." Materials Science Forum 225-227 (July 1996): 135–40. http://dx.doi.org/10.4028/www.scientific.net/msf.225-227.135.

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42

Nagashio, K., K. Kuribayashi, and Y. Takamura. "Phase selection of peritectic phase in undercooled Nd-based superconducting oxides." Acta Materialia 48, no. 12 (2000): 3049–57. http://dx.doi.org/10.1016/s1359-6454(00)00132-4.

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43

Chen, Chung-De, Yen-Chieh Huang, Hsin-Lin Chiang, et al. "Direct phase selection of initial phases from single-wavelength anomalous dispersion (SAD) for the improvement of electron density andab initiostructure determination." Acta Crystallographica Section D Biological Crystallography 70, no. 9 (2014): 2331–43. http://dx.doi.org/10.1107/s1399004714013868.

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Optimization of the initial phasing has been a decisive factor in the success of the subsequent electron-density modification, model building and structure determination of biological macromolecules using the single-wavelength anomalous dispersion (SAD) method. Two possible phase solutions (ϕ1and ϕ2) generated from two symmetric phase triangles in the Harker construction for the SAD method cause the well known phase ambiguity. A novel direct phase-selection method utilizing the θDSlist as a criterion to select optimized phases ϕamfrom ϕ1or ϕ2of a subset of reflections with a high percentage of

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44

Maughan, Heather, and Wayne L. Nicholson. "Stochastic Processes Influence Stationary-Phase Decisions in Bacillus subtilis." Journal of Bacteriology 186, no. 7 (2004): 2212–14. http://dx.doi.org/10.1128/jb.186.7.2212-2214.2004.

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ABSTRACT It has recently been proposed that phenotypic variation in clonal populations of bacterial species results from intracellular “noise,” i.e., random fluctuations in levels of cellular molecules, which would be predicted to be insensitive to selective pressure. To test this notion, we propagated five populations of Bacillus subtilis for 5,000 generations with selection for one phenotype: the decision to sporulate. In support of the noise hypothesis, we report that none of the populations responded to selection by improving their efficiency of sporulation, indicating that intracellular n

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45

Costa, F. Vasco. "FENDER SELECTION CRITERIA." Coastal Engineering Proceedings 1, no. 21 (1988): 220. http://dx.doi.org/10.9753/icce.v21.220.

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Fenders are to be selected taking into account two quite distinct functions they have to fulfill: - During berthing manoeuvres fenders have to avoid damage to the ship and to the berthing structure; - After ships are already berthed and moored, fenders have to keep them quiet during loading and unloading operations. To fulfill the first function fenders have to be able, while deflecing, to absorb a very large amount of energy. To fulfill the second function fenders need to be able, while recovering their form, to dissipate a large amount of energy. Besides, they have to contribute to reduce or

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46

Saxena, Amit, Shreya Pare, Mahendra Singh Meena, et al. "A Two-Phase Approach for Semi-Supervised Feature Selection." Algorithms 13, no. 9 (2020): 215. http://dx.doi.org/10.3390/a13090215.

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This paper proposes a novel approach for selecting a subset of features in semi-supervised datasets where only some of the patterns are labeled. The whole process is completed in two phases. In the first phase, i.e., Phase-I, the whole dataset is divided into two parts: The first part, which contains labeled patterns, and the second part, which contains unlabeled patterns. In the first part, a small number of features are identified using well-known maximum relevance (from first part) and minimum redundancy (whole dataset) based feature selection approaches using the correlation coefficient. T

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47

Zuo, Yanfang, Yanwang Huang, Dingcheng Wu, Qingxiu Wang, and Zuoren Wang. "Spike Phase Shift Relative to Beta Oscillations Mediates Modality Selection." Cerebral Cortex 30, no. 10 (2020): 5431–48. http://dx.doi.org/10.1093/cercor/bhaa125.

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Abstract How does the brain selectively process signals from stimuli of different modalities? Coherent oscillations may function in coordinating communication between neuronal populations simultaneously involved in such cognitive behavior. Beta power (12–30 Hz) is implicated in top-down cognitive processes. Here we test the hypothesis that the brain increases encoding and behavioral influence of a target modality by shifting the relationship of neuronal spike phases relative to beta oscillations between primary sensory cortices and higher cortices. We simultaneously recorded neuronal spike and

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48

Zeng, Xiao Hui, Yong Hui Chen, and Gong Quan Tan. "A Fault Phase Selection Method Based on Arc Voltages for High-Voltage Line Protections in Electric Power Systems." Advanced Materials Research 676 (March 2013): 218–21. http://dx.doi.org/10.4028/www.scientific.net/amr.676.218.

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A fault phase selection method is proposed based on arc voltage after analysis of inadequate of fault phase selector existed in the paper. A precise fault phase selection can be achieved by using arc voltages in conjunction with phase current differences and sequence components of currents. The method proposed can solve false tripping problems in transmission line protections when single phase to ground faults occur with great reliabilities. Simulation results show that the method can identify faulted phase or phases correctly and effectively.

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49

Jiaming Jiang, Jiaming Jiang, Pengfei Wei Pengfei Wei, Zhinan Zeng Zhinan Zeng, et al. "Selection of odd or even harmonics by a multi-color laser field with macroscopic phase-matching." Chinese Optics Letters 13, no. 5 (2015): 050202–50205. http://dx.doi.org/10.3788/col201513.050202.

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50

Shafahi, Ali, and Ali Haghani. "Project selection and scheduling for phase-able projects with interdependencies among phases." Automation in Construction 93 (September 2018): 47–62. http://dx.doi.org/10.1016/j.autcon.2018.05.008.

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