1,721,394 research outputs found
Well-Rounded ideal lattices of cyclic cubic and quartic fields
Full text linkIn this paper, we find criteria for when cyclic cubic and cyclic quartic
fields have well-rounded ideal lattices. We show that every cyclic cubic field
has at least one well-rounded ideal. We also prove that there exist families of
cyclic quartic fields which have well-rounded ideals and explicitly construct
their minimal bases. In addition, for a given prime number , if a cyclic
quartic field has a unique prime ideal above , then we provide the necessary
and sufficient conditions for that ideal to be well-rounded. Moreover, in
cyclic quartic fields, we provide the prime decomposition of all odd prime
numbers and construct an explicit integral basis for every prime ideal.Comment: 42 page
Multimodal Fuzzy Fusion for Biometric Identity Management
No full textBiometric identity management based only on the single biometric modality is not accurate or robust enough to be used in uncontrolled environments. This paper describes a fusion of face and voice biometric traits, based on fuzzy logic approach for speaker identity verification. In this approach, a scheme based on membership function and fuzzy integral is proposed to fuse information from the two modalities. Equal Error rate is used to evaluate the fusion scheme. Experimental results show the fusion scheme improves identity verification performance substantially and makes the system robust to environmental degradations such as acoustic noise and visual compression artefact
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
Tensor representation in high-frequency financial data for price change prediction
No full textNowadays, with the availability of massive amount of trade data collected, the dynamics of the financial markets pose both a challenge and an opportunity for high frequency traders. In order to take advantage of the rapid, subtle movement of assets in High Frequency Trading (HFT), an automatic algorithm to analyze and detect patterns of price change based on transaction records must be available. The multichannel, time-series representation of financial data naturally suggests tensor-based learning algorithms. In this work, we investigate the effectiveness of two multilinear methods for the mid-price prediction problem against other existing methods. The experiments in a large scale dataset which contains more than 4 millions limit orders show that by utilizing tensor representation, multilinear models outperform vector-based approaches and other competing ones
Identification of Dunaliella Viridis Using ITS Markers
Full text linkThe phylogenetic position and taxonomic status of the green alga Dunaliella viridis was investigated based on
internal transcribed spacer (ITS) markers. The alga was isolated from saltern in Vinh Hao, Binh Thuan province,
Vietnam. Independent phylogenetic trees of ITS1 and ITS2 sequences revealed that the alga belongs to the clade
of Dunaliella viridis. The salinity for optimal growth of the alga was 2M NaCl, which was much lower than the
original sampling site (4M NaCl). This tolerance to a wide range of salinity may provide distinct advantages to
Dunaliella viridis over its competitors in natural environments. Further physiological and biochemical
characteristics of this strain will need to be investigated in order to assess its potential for algal biomass
production and other applications such as beta-carotene, carbohydrate, lipid and protein for feed, food,
aquaculture and biofuels, including opening new search for other Dunaliella species
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
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
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