1,722,102 research outputs found
Three new species of the genus Ricanula Melichar, 1898 (Hemiptera: Fulgoromorpha: Ricaniidae) from China
No full textRen, Lan-Lan, Stroiński, Adam, Qin, Dao-Zheng (2016): Three new species of the genus Ricanula Melichar, 1898 (Hemiptera: Fulgoromorpha: Ricaniidae) from China. Zootaxa 4168 (3): 557-569, DOI: http://doi.org/10.11646/zootaxa.4168.3.
sj-rar-1-mac-10.1177_00202940221135917 – Supplemental material for Fault detection and classification of the rotor unbalance based on dynamics features and support vector machine
No full textSupplemental material, sj-rar-1-mac-10.1177_00202940221135917 for Fault detection and classification of the rotor unbalance based on dynamics features and support vector machine by Lan Lan, Xiao Liu and Qian Wang in Measurement and Control</p
A new species of the genus Euricania Melichar, 1898 (Hemiptera: Fulgoromorpha: Ricaniidae) from China, with a world checklist and a key to all species recorded for the country
No full textRen, Lan-Lan, Stroiński, Adam, Qin, Dao-Zheng (2015): A new species of the genus Euricania Melichar, 1898 (Hemiptera: Fulgoromorpha: Ricaniidae) from China, with a world checklist and a key to all species recorded for the country. Zootaxa 4033 (1): 137-143, DOI: 10.11646/zootaxa.4033.1.
Euricania Melichar 1898
No full textEuricania Melichar, 1898 Euricania Melichar, 1898 a: 258. Euricania Melichar, 1898 b: 393. Type species. Pochazia ocellus Walker, 1851, designated by Distant 1906: 385.Published as part of Ren, Lan-Lan, Stroiński, Adam & Qin, Dao-Zheng, 2015, A new species of the genus Euricania Melichar, 1898 (Hemiptera: Fulgoromorpha: Ricaniidae) from China, with a world checklist and a key to all species recorded for the country, pp. 137-143 in Zootaxa 4033 (1) on page 138, DOI: 10.11646/zootaxa.4033.1.8, http://zenodo.org/record/23449
Ricanula Melichar 1898
No full textGenus Ricanula Melichar, 1898 Ricania (Ricanula) Melichar, 1898: 218. Ricanula Schmidt, 1912: 75. Type species. Ricania noualhieri Melichar, 1898, designated by Schmidt (1912).Published as part of Ren, Lan-Lan, Stroiński, Adam & Qin, Dao-Zheng, 2016, Three new species of the genus Ricanula Melichar, 1898 (Hemiptera: Fulgoromorpha: Ricaniidae) from China, pp. 557-569 in Zootaxa 4168 (3) on page 558, DOI: 10.11646/zootaxa.4168.3.7, http://zenodo.org/record/26146
Adaptive Target Detection and DOA Estimation With Uniform Rectangular Arrays in the Presence of Unknown Mutual Coupling
No full textThis paper investigates joint adaptive target detection and direction of arrival (DOA) estimation via a uniform rectangular array (URA) affected by mutual coupling. Capitalizing on a bespoke linearization of the array manifold and leveraging the banded symmetric Toeplitz block Toeplitz structure for the coupling matrix description, a vectorial model of the useful target echo return is proposed and used to formulate the detection problem. Two decision rules are designed, i.e., the generalized likelihood ratio (GLR) and multifamily likelihood ratio test (MFLRT), with the latter aimed at handling an unknown number of active mutual coupling coefficients. Both demand the joint maximum likelihood (ML) estimates of the coupling coefficients and the target angular displacement parameters which can be obtained solving a non-convex optimization problem. Toward this goal, an iterative procedure based on the minorization-maximization (MM) algorithm is developed. At the analysis stage, the performance of the proposed methods is assessed in terms of detection probability ( Pd ) and DOA root mean square error (RMSE) in comparison with benchmarks and standard strategies that do not account for the mutual coupling phenomenon. The results demonstrate the effectiveness of the proposed approaches to overcome signal mismatches induced by both the DOA uncertainty and mutual coupling
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
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