309 research outputs found
Gamasiphis bengalensis Bhattacharyya 1966
No full text202. Gamasiphis bengalensis Bhattacharyya, 1966 Gamasiphis (Neogamasiphis) bengalensis Bhattacharyya, 1966: 151. Gamasiphis bengalensis.— Lee, 1970: 49; Bhattacharyya, 1978: 83; Karg, 1987: 306; 1990: 334; 1993b: 182; 1996: 179; Castilho et al., 2012a: 1992; Marchenko, 2013a: 387; 2013b: 178. Type depository. Author´s private collection. Type locality and habitat. Pond Sitala, Sonarpur, 24 Parganas District, West Bengal, India, 2 December 1963, in litter under decaying Pistia stratiotes [Araceae].Published as part of Castilho, Raphael C., Silva, Edmilson S., De, Gilberto J. & Halliday, Bruce, 2016, Catalogue of the family Ologamasidae Ryke (Acari: Mesostigmata), pp. 1-147 in Zootaxa 4197 (1) on page 59, DOI: 10.5281/zenodo.16844
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe 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
Why people choose negative expected return assets - an empirical examination of a utility theoretic explanation
Get PDFUsing a theoretical extension of the Friedman and Savage (1948) utility function developed in Bhattacharyya (2003), we predict that for financial assets with negative expected returns, expected return will be a declining and convex function of skewness. Using a sample of U.S. state lottery games, we find that our theoretical conclusions are supported by the data. Our results have external validity as they also hold for an alternative and more aggregated sample of lottery game data.
Hypoaspis takiensis Bhattacharyya 1966
No full textHypoaspis takiensis Bhattacharyya, 1966 Hypoaspis takiensis.— Ghosh, 2002: 38. Hypoaspis takiensis.— Ghosh & Mandal, 2017: 4. Collection records in India: Zoological Park of Darjeeling Himalayas, West Bengal, in soil (Ghosh & Mandal, 2017). Notes: Ghosh & Mandal (2017) referred to a species named Hypoaspis takiensis Bhattacharyya, 1966. We have been unable to locate the description of any species by that name, described by Bhattacharyya or any other author. Many species of mites have been described in PhD or Masters theses, which are produced in a very limited number of copies and which are not generally available for distribution. The names of these species are therefore nomina nuda. We refer to one example, by Datta (1991), but there are many others. Datta (1991) described and illustrated five new species of Laelapidae from India, including four species of Hypoaspis and one species of Pseudoparasitus, but these names were not published in a way that makes them available for nomenclatural purposes.Published as part of Bandyopadhyay, Pritha, Karmakar, Krishna & Halliday, Bruce, 2023, Checklist of Indian mites in the family Laelapidae (Acari: Mesostigmata), pp. 401-424 in Zootaxa 5249 (4) on page 416, DOI: 10.11646/zootaxa.5249.4.1, http://zenodo.org/record/769457
Ameroseius dipankari Bhattacharyya, 2004, sp. nov.
No full textAmeroseius dipankari sp. nov. (Figs. 1–7) Diagnosis: Dorsum sclerotized, ornamented, 26 pairs of dorsal setae heterogenous in length. Ventrianal shield with two pairs of opisthogastric setae in addition to circumanal setae, genital shield with conspicuous marking; tectum uniramous, genu II with 2 ventral setae. Female: Holodorsal shield (345 µ long, 203 µ wide) darkly sclerotized, irregularly reticulated, ornamented, without pitlike depression; 26 pairs of setae present on dorsal shield; setae j 1 20 µ long, densely plumose; other setae lanceolate (Fig. 1); setae j 2 –j 4 and z 2 are the shortest dorsal setae; J 1, J 3 and J 5 setae subequal (36–37), Z 4 and S 3 setae subequal (32). Tritosternum with moderately pilose lacinae, length of lacinae and base almost equal. Sternal shield roughly rectangular in shape, 59 long along midline, 68 µ wide at widest point, reticulated as in fig. 2, with two pairs of subequal (20–21 µ) sternal setae; third pair of sternal setae (16) placed on platelets; metasternal setae (14 µ) placed on ventral interscutal membrane at level of anterior half of coxae III. Genital shield bellshaped, concave laterally, reticulated, bearing setae st 5; four small platelets present between genital and ventrianal shield and two pairs of simple, smooth setae, posterior most pair (Jv 5) of opisthogastric setae (36 µ) lanceolate, similar to dorsal setae. Ventrianal shield reticulated, opisthogastric setae smooth; para and postanal setae (27 µ) pilose; cribrum present posteriorly; variation in the shape of ventrianal shield as depicted in fig. 3. Metapodal shield sclerotized, large, discrete, lying laterally along anterior half of ventrianal shield. Peritreme moderately wide, extending beyond coxae I, stigma placed between coxae III and IV, poststigmatal prolongation of peritrematal shield partly encircling coxae IV. Tectum uniramous; variation in the shape of tectum delineated in figs. 4 and 5. Corniculi undivided, very weakly sclerotized, almost parallel to each other, all setae simple. Hypostomal groove narrow, two anterior rows of denticles with 14–16 denticles each, third row with 20 denticles (Fig. 6). Fixed digit of chelicera with one large and three small triangular teeth (Fig. 7), movable digit bidentate, pilus dentilis simple. Legs I–IV with pulvilli and claws; length (excluding ambulacra) of legs I–IV, 280, 200, 220 and 270 respectively. Male: Unknown. Type: Holotype female, Zoological Survey of India compound, Jhalamand, Jodhpur, Rajasthan; ex. decomposed grass litter collected from semidried drainage system; 2 July 2003; A.K. Bhattacharyya coll. Paratypes: 3 females, collection data same as for holotype. Distribution: INDIA: Rajasthan. Differential diagnosis: Ameroseius dipankari sp. nov. shows similarities with its congeneric species, Ameroseius eumorphus Bregetova, 1977, in respect of similar nature of dorsal shield reticulation, similar nature of setae, similar shape of sternal, genital and ventrianal shield and also in similar type of tectum and chelicera. However, the new species differs from Bregetova’s species in the following aspects: corniculi, central setae j 3, j 4, j 5, J 1 and J 3 shorter, their tips do not reach the bases of the following setae, shape of metasternal shield and shorter length of preanal setae. Etymology: The author has named the species in honour of Prof. Dipankar Sengupta, who taught him the basics of acarology.Published as part of Bhattacharyya, Asit K., 2004, A new species of Ameroseius (Mesostigmata: Ameroseiidae) from the Indian Thar Desert, pp. 1-7 in Zootaxa 620 on pages 2-6, DOI: 10.5281/zenodo.15806
Closed-Loop Active Model Diagnosis Using Bhattacharyya Coefficient: Application to Automated Visual Inspection
No full textThis manuscript presents an improvement of state-of-the-art Closed-Loop Active Model Diagnosis (CLAMD). The proposed method utilizes weighted Bhattacharyya coefficients evaluated at the vertices of the polytopic constraint set to provide a good trade-off between computational efficiency and satisfactory input choice for separation of candidate models of a system. A simulation of a dynamical system shows the closed-loop performance not being susceptible to the combination of candidate models. Additionally, the broad applicability of CLAMD is shown by means of a demonstrative application in automated visual inspection. This application involves sequential determination of the optimal object inspection region for the next measurement. As compared to the conventional approach using one full image to recognize handwritten digits from the MNIST dataset, the novel CLAMD-approach needs significantly (up to 78%) less data to achieve similar accuracy.Accepted Author ManuscriptTeam Michel Verhaege
Soft computing for image and multimedia data processing / Siddhartha Bhattacharyya.
No full textcomputer bookfair2015includes reference bibliographical and indexxv, 267 pages
An Elias bound on the Bhattacharyya distance of codes for channels with a zero-error capacity
No full textIn this paper, we propose an upper bound on the minimum Bhattacharyya distance of codes for channels with a zero-error capacity. The bound is obtained by combining an extension of the Elias bound introduced by Blahut, with an extension of a bound previously introduced by the author, which builds upon ideas of Gallager, Lovász and Marton
Particle Image Segmentation Based on Bhattacharyya Distance
Get PDFabstract: Image segmentation is of great importance and value in many applications. In computer vision, image segmentation is the tool and process of locating objects and boundaries within images. The segmentation result may provide more meaningful image data. Generally, there are two fundamental image segmentation algorithms: discontinuity and similarity. The idea behind discontinuity is locating the abrupt changes in intensity of images, as are often seen in edges or boundaries. Similarity subdivides an image into regions that fit the pre-defined criteria. The algorithm utilized in this thesis is the second category.
This study addresses the problem of particle image segmentation by measuring the similarity between a sampled region and an adjacent region, based on Bhattacharyya distance and an image feature extraction technique that uses distribution of local binary patterns and pattern contrasts. A boundary smoothing process is developed to improve the accuracy of the segmentation. The novel particle image segmentation algorithm is tested using four different cases of particle image velocimetry (PIV) images. The obtained experimental results of segmentations provide partitioning of the objects within 10 percent error rate. Ground-truth segmentation data, which are manually segmented image from each case, are used to calculate the error rate of the segmentations.Dissertation/ThesisMasters Thesis Electrical Engineering 201
Two-dimensional electron transport in selectively doped Ga0.25In0.75As0.5P0.5/InP heterostructure
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