1,721,002 research outputs found
Reply to Awad, M.M. Comment on “Alam et al. Numerical Simulation of Homogeneous–Heterogeneous Reactions through a Hybrid Nanofluid Flowing over a Rotating Disc for Solar Heating Applications. Sustainability 2021, 13, 8289”
No full textThis write-up presents a closure to the comments of Awad, M.M. (2021) on the paper “Numerical Simulation of Homogeneous–Heterogeneous Reactions through a Hybrid Nanofluid Flowing over a Rotating Disc for Solar Heating Applications” (Alam et al., 2021). The authors have addressed each of the comments in detail to uphold the correctness of the mathematical formulation together with the pertinent results presented in our published article
Multicomponent image segmentation: A comparative analysis between a hybrid genetic algorithm and self-organizing maps
No full textImage segmentation is an essential process in image analysis. Several methods have been developed to segment multicomponent images and the success of these methods depends on the characteristics of the acquired image and the percentage of imperfections in the process of its acquisition. Many of the segmentation methods are parametric, which means that many parameters need to be computed or provided before the segmentation process, and any method that works on one type of multicomponent image cannot necessarily work on another. In addition, many segmentation methods are supervised, where a priori knowledge is needed, such as the number of classes. To overcome these obstacles, a self-organizing map (SOM), which is an unsupervised nonparametric method, was used to segment four different types of multicomponent images (Landsat, SPOT, IKONOS and CASI), and the results compared to those of a new nonparametric unsupervised genetic algorithm (GA) for image segmentation. To improve the performance of the GA, a hill-climbing process and another random heuristic module were added to escape the local-minima trap and to improve the speed of the GA; the new algorithm is called the hybrid genetic algorithm (HGA). Verification of the results was performed using two different techniques: field verification and the functional model. These verification techniques show that the HGA is more accurate in multicomponent image segmentation than the SOM.ARIA E, 1973, P 20 INT SOC PHOT RE, P117; BAKER EB, 1987, P 2 INT C GEN ALG L, P14; BHANU B, 1995, IEEE T SYST MAN CYB, V25, P1543, DOI 10.1109-21.478442; BRICE CR, 1970, ARTIF INTELL, V1, P205, DOI 10.1016-0004-3702(70)90008-1; CHANG YL, 1994, IEEE T IMAGE PROCESS, V3, P868; Chun DN, 1996, PATTERN RECOGN, V29, P1195, DOI 10.1016-0031-3203(95)00148-4; Cohen J, 1960, EDUC PSYCHOL MEAS, V20, P46; COLLET C, 1995, GRESTI STUDY RES GRO, V2, P569; CONGALTON RG, 1991, REMOTE SENS ENVIRON, V37, P35, DOI 10.1016-0034-4257(91)90048-B; Cormen T., 2001, INTRO ALGORITHMS; DEMPSTER AP, 1977, J ROY STAT SOC B MET, V39, P1; Haupt R L, 2004, PRACTICAL GENETIC AL; Holland J. H., 1975, ADAPTATION NATURAL A; Jiang T., 2001, ELECT NOTES THEORETI, V46, P1; KHUNKAY S, 1997, P 1997 INT C INF COM, V2, P713; Kim EY, 2000, IEEE SIGNAL PROC LET, V7, P301, DOI 10.1109-97.873564; KIM HJ, 1998, ELECTRON LETT, V34, P1394; Kohavi R., 1998, APPL MACHINE LEARNIN, V30, P271; Kohonen T., 2001, SPRINGER SERIES INFO, V30; Levine M. D., 1985, VISION MAN MACHINE; Lo Bosco G, 2001, 11TH INTERNATIONAL CONFERENCE ON IMAGE ANALYSIS AND PROCESSING, PROCEEDINGS, P262; Ng SC, 1996, IEEE SIGNAL PROC MAG, V13, P38, DOI 10.1109-79.543974; OHLANDER R, 1978, COMPUT VISION GRAPH, V8, P313, DOI 10.1016-0146-664X(78)90060-6; OJOLA T, 1998, PATTERN RECOGN, V19, P1213; PARZEN E, 1962, ANN MATH STAT, V33, P1065, DOI 10.1214-aoms-1177704472; Pham DL, 2000, ANNU REV BIOMED ENG, V2, P315, DOI 10.1146-annurev.bioeng.2.1.315; Pratt WK, 1991, DIGITAL IMAGE PROCES; Schalkoff R.J, 1992, PATTERN RECOGNITION; Shapiro L., 2001, COMPUTER VISION; Xu BG, 2002, AATCC REV, V2, P42; Yao KC, 2000, PATTERN RECOGN, V33, P1575, DOI 10.1016-S0031-3203(99)00135-1; YIN HJ, 1995, NEURAL COMPUT, V7, P1178, DOI 10.1162-neco.1995.7.6.1178; Yoshimura M, 1999, PATTERN RECOGN, V32, P2041, DOI 10.1016-S0031-3203(99)00004-7; ZHANG P, 2003, P IEEE C EV COMP CEC, P634; Zouagui T, 2004, PATTERN RECOGN, V37, P1785, DOI 10.1016-j.patcog.2003.12.01462
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Satellite image segmentation using self-organizing maps and fuzzy C-means
No full textThe quality of image interpretation depends strongly on the segmentation process which is an important step in image processing. Most of the segmentation methods and approaches are not suitable for noisy environments such as satellite images of high resolution. Sometime they require a priori knowledge, and another time they do not work on all types of images. Self-Organizing Maps (SOMs) and Fuzzy C-Means (FCM) segmentation methods are widely used to process different types of simple and complex images. These two important known methods are reviewed, and summarized. In addition, a new approach is created based on SOMs and FCM. The reason for combining both methods is to create an unsupervised parameter free approach. The new approach is applied on two different types of medium and high resolution satellite images in order to examine the accuracy of the segmentation methods and the new approach. This paper and the results of experiments provide the reader with information about the improvement obtained by this approach compared to known commercial segmentation method. ©2009 IEEE.
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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