1,722,326 research outputs found
FIGURE 2 in The Myidae (Mollusca, Bivalvia) from Chinese waters with description of a new species
No full textFIGURE 2. Map of China seas and adjacent waters. Solid lines indicate ocean currents (after Zheng et al. 2006: fig. 1, with permission from author). Abbreviations: KS, Kuroshio Warm Current; NEC, North Equatorial Current; SCC, South China Sea Warm Current; TC, Taiwan Warm Current; TSC, Tsushima Warm Current; YSC, Yellow Sea Warm Current. 1, Changjiang River (Yangtze) estuary; 2, Jiaozhou Bay; 3, Peter the Great Bay.Published as part of Zhang, Jun-Long, Xu, Feng-Shan & Liu, Rui-Yu, 2012, The Myidae (Mollusca, Bivalvia) from Chinese waters with description of a new species, pp. 39-60 in Zootaxa 3383 on page 42, DOI: 10.5281/zenodo.28173
Fourier-based image shift for periodic effect compensation in displacement monitoring using vision systems
No full textIn a wide range of monitoring applications, vision systems are nowadays applied. The main advantages of vision-based monitoring include the possibility to: i) measure a wide region of the target, obtaining a dense measurement, ii) obtain a 3D estimation of shape, displacements and strain field, iii) measure with a completely contactless technique, therefore avoiding loading effect and wear of measuring components and target. Digital Image Correlation (DIC) is an image processing technique that allows measuring the displacement and strain fields of target, as well as the 3D shape of the measurand in the case of stereo DIC. Displacement measurement obtained by DIC are affected by a systematic effect in displacement data. In this paper, we propose and qualify an image pre-processing technique, to be applied to the images before running the DIC analysis, capable to strongly reduce the systematic effect affecting the displacement results
FIGURE 4 in Aulactinia sinensis, a new species of sea anemone (Cnidaria: Anthozoa: Actiniaria) from Yellow Sea
No full textFIGURE 4. Representative cnidae from Aulactinia sinensis sp. nov. Scale = 20 μm; refer to Table 2 for size and distribution. A. Spirocyst. B. Large basitrich. C. Small basitrich. D. Microbasic p-mastigophore. E. Microbasic b-mastigophore. F. Holotrich.Published as part of Li, Yang & Liu, Rui-Yu, 2012, Aulactinia sinensis, a new species of sea anemone (Cnidaria: Anthozoa: Actiniaria) from Yellow Sea, pp. 62-68 in Zootaxa 3476 on page 67, DOI: 10.5281/zenodo.21347
Andvakiidae Danielssen 1890
No full textFamily ANDVAKIIDAE Danielssen, 1890Published as part of Li, Yang, Liu, Rui-Yu, Liu, J. Y. & Xu, Kuidong, 2013, Phytocoetes sinensis n. sp. and Telmatactis clavata (Stimpson, 1855), two poorly known species of Metridioidea (Cnidaria: Anthozoa: Actiniaria) from Chinese waters, pp. 113-122 in Zootaxa 3637 (2) on page 118, DOI: 10.11646/zootaxa.3637.2.2, http://zenodo.org/record/22203
Distugonia Iredale 1936
No full textSubgenus Distugonia Iredale, 1936 Distugonia Iredale, 1936: 283 –284. Diagnosis. Posterior area attenuated and slightly gaping; sculpture weak, of commarginal growth lines only. Type species. Distugonia inopinata Iredale, 1936 (by original designation).Published as part of Zhang, Jun-Long, Xu, Feng-Shan & Liu, Rui-Yu, 2012, The Myidae (Mollusca, Bivalvia) from Chinese waters with description of a new species, pp. 39-60 in Zootaxa 3383 on page 51, DOI: 10.5281/zenodo.28173
Cryptomyinae
No full textSubfamily Cryptomyinae Habe, 1977 Diagnosis. Posterior area of shell truncated and gaping; sculpture commarginal, some species with radial ribs on the posterocentral to central portion of the shell; chondrophores subequal or larger in left valve; pallial line continuous, pallial sinus shallow or obscure.Published as part of Zhang, Jun-Long, Xu, Feng-Shan & Liu, Rui-Yu, 2012, The Myidae (Mollusca, Bivalvia) from Chinese waters with description of a new species, pp. 39-60 in Zootaxa 3383 on page 45, DOI: 10.5281/zenodo.28173
A novel compensation method for systematic effect in displacement measurement based on vision systems
No full textVision-based measurement techniques are often applied in experimental activities because of the possibility to obtain full-field dense measurement without any loading effect. Many different vision-based techniques are available in literature to measure a plurality of mechanical quantities. Digital image correlation (DIC) and pattern matching are very popular image processing techniques used in 2D and 3D measurement, in particular to estimate displacement and strain. Both these techniques show a systematic effect in displacement measurement. This paper proposed a novel method to compensate for the systematic effect in pattern matching and DIC. The basic idea is to shift the reference image backward and forward of an amount equal to 0.25 px using a Fourier-based technique, and then run the DIC analysis (or pattern matching analysis) two times, using each time one of the two new reference images. The final displacement is estimated by averaging the results of the two analyses. This approach allows significantly reducing the systematic effect in the results, as shown in the numerical and experimental validation. The numerical validation for different types of pattern and different noise levels is conducted for both DIC and pattern matching analysis. Moreover, the influence of the size of the pattern is discussed for pattern matching analysis. Finally the proposed technique is validated with an experimental test. To this purpose, a coordinate measuring machine (CMM) is used to impose subpixel displacement to a target and estimating the displacements with a pattern matching analysis on images acquired by a digital camera. The results of numerical validation and experimental validation demonstrate that the proposed compensation method allows reducing the systematic effect significantly
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
- …
