1,720,962 research outputs found
GPS Data-Based Plug-in Hybrid Electric Vehicle Simulation
No full textDissertation, Otto-Friedrich-Universität Bamberg, 2019The automotive sector, while being an example of a highly innovative industry driven by strong competitive pressure and constant technological progress, has never had to deal with truly disruptive changes regarding its products, processes, or value network structure. In this regard, the rise of electric mobility constitutes an unprecedented market change as it implies an extensive redefinition of the product architecture of cars, not only involving new technologies but also new market entrants from highly innovative industries, the anticipation of new business models, and a dependency on the electrical grid as an additional, essential infrastructure component.
In this context, decisions regarding both the capacity of batteries and the charging network play a major role as they determine the electric range of the vehicles as well as overall system costs. At the same time, the transition from combustion-based transportation to electric transportation has a considerable impact on the power grid that also depends on the trade-off between battery capacities and the density and power ratings of chargers.
In order to assess such important aspects as electric reachability, grid impact, and battery versus infrastructure trade-offs, the mobility behavior of individuals plays an essential role. Literature suggests that GPS driving data analysis constitutes a means of choice to assess the impact of battery capacities and charging opportunities on electric range and on power grid demand. Still, a great share of publications does either use synthetic mobility profiles (“driving cycles”) or self-reported data and thus does not utilize the wealth of information that is available in actual movement data. Moreover, literature research indicates that prior work that considers the entirety of car drivers as a coherent whole without describing different types of drivers in greater detail, rarely takes high electric range and variations in the availability of both private and public charging infrastructure facilities into account. Thus, such studies focus on average effects, which reduces the precision and utility of their assessments.
In this work, the high granularity of real-world GPS time series from 1,000 conventional vehicles is utilized to reflect the natural mobility behavior of drivers and to compare meaningful driver segments. Potential charging locations are automatically identified, and the electric energy consumption and charging behavior of plug-in hybrid electric vehicles is closely approximated. This enables the identification of appropriate vehicle and infrastructure parameters for electric mobility target groups and the assessment of their impact in terms of the electrification of mileage and energy demand. The consideration of household level solar systems and of a load shifting method as parts of a possible future charging infrastructure complements the work.
Results suggest that large but realistic battery capacities have the potential to dissipate concerns about the need for an all-encompassing charging infrastructure. Dense charge points are only needed for vehicles with short electric range or for small groups of fast long-range drivers. Both solar charging and load shifting considerably help alleviate stress on the power grid.
Decision makers may use the results and the methodology underlying this work to identify vehicle and infrastructure requirements of distinct segments and to estimate the grid impact of vehicle charging. Consequently, insights about benefits and obstacles of electric mobility adoption may facilitate better decisions in both vehicle development and infrastructure planning
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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