1,720,973 research outputs found
A Modeling Method for Representation of Geographical Information of a System-of-Systems
No full textDue to the increasing interest in Systems-of-Systems (SoSs) and SoS engineering (SoSE), a considerable number of model-based SoSE methods have been actively researched in recent years. Since a constituent of an SoS may not be originally designed to constitute a higher-level organization or SoS, the integration of distributed independent constituents is a crucial SoSE activity. However, the distribution poses challenges for SoSE because this characteristic inevitably increases uncertainties that can largely influence constituents' behaviors and interactions. Therefore, this uncertain distribution should be systematically modeled and simulated and a geographical map (GeoMap) should be appropriately embedded in a simulation model as a fundamental simulation object. However, existing simulation techniques do not concentrate on geographical features; they only focus on the structural and behavioral aspects of models. To support the modeling and simulation of the geographical features of an SoS, this study proposes a modeling method that flexibly represents geographical information. On the basis of SoS-specific characteristics, our method provides a scalable modeling technique for building, updating, and managing a GeoMap for simulation. An open-sourced project, called GeoMapBuilder-for-SoS, is developed to simulate the geographically distributed entities of an SoS and demonstrate the applicability and feasibility of the proposed modeling method
Uncertainty based Fault Type Identification for Fault Knowledge Base Generation in System of Systems
No full textA System of Systems (SoS) is a large-scale complex system composed of Constituent Systems (CSs) that interact organically to achieve SoS level goals that cannot be achieved by individual CSs. Various uncertainties may arise in SoS in addition to the uncertainties of each CS. Uncertainty in SoS may cause it to fail in various situations. To debug these failures efficiently, a high-quality fault knowledge base is needed for the SoS. However, existing studies assume that (1) there are sufficient data when creating an initial fault knowledge base and that (2) various uncertainties related to the characteristics of the SoS cannot be considered. Therefore, this study proposes an approach to create a fault knowledge base in SoS that considers uncertainty and then determines the quality of fault data so as to build a high-quality fault knowledge base for SoS. The proposed approach categorizes faults based on the nature of uncertainty and the manifestation location, making it possible to find and add fault types that are currently not considered. Through a case study of an Advanced Driver Assistance System (ADAS), we followed the process domain experts use to create a fault knowledge base. Extracting and classifying knowledge from more than 9,000 fault data entries revealed that only 7 out of 10 fault types were observed. The proposed approach could successfully find unknown faults that were not in the generated fault knowledge base
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
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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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