1,720,973 research outputs found
Training sequences for road speed prediction on a selection of roads in Prague
No full text<p>Training sequences for 1 hour road speed prediction training on a selection of roads in Prague retrieved from IT4I traffic simulator.<br>First 4 columns define road identifiers, for which a timeline of speed information is provided in the next columns.<br>5th column marks the time of a day (in the range 0 to 24), which is associated with a sample as a reference time stamp.<br>Next 16 columns represent 4 timeline sequences for the 4 concerned roads over past 1 hour (vx@ represents 15min back,vx@@ 30min back, etc).<br>Last 4 columns represent timeline sequence of an output road referring to the 1<span> </span>hour future (vx+ mark represents 15min forward, vx++ 30min forward, etc.)</p>
<p>Speed value -1 means the information for a particular time instance for a particular road is missing.</p>
Road speed profiles of Prague 2022
No full text<p>Road speed profile defines average speeds across 24 hour in 15min granularity, i.e. 96 speed values per day per road.<br>The file defines the road speed profile for about ~8000 major roads of Prague.<br>The road speed profiles have been derived from FCD data collection on the date of 19.2.2022.<br>Each road is denoted by a unique road identifier. For a geo position please refer to road network definition (see roadnetwork files) </p>
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
DSL and Autotuning Tools for Code Optimisation on HPC Inspired by Navigation Use Case
No full textWhen targeting high performance computing (HPC) platforms, improving the performance and scalability of code is often a tedious and time consuming task. The code has to be executed and even compiled many times under different conditions in order to observe its behaviour on the target
hardware. These experiments are performed with the goal of estimating an optimal set of the run-time environment parameters to achieve optimal performance and energy efficiency. This optimization task is best performed automatically, but due to the heterogeneous nature of the source codes and the
HPC platform, fully automation is often hard to implement. The domain specific language (DSL) and toolflow approach proposed in the ANTAREX project ( www.antarex-project.eu ) can provide the mechanisms needed for addressing properly the problems previously described. The DSL being developed
is based on the LARA DSL [1] and allows to specify strategies for code instrumentation and code transformations, including the required code adaptation for dynamic autotuning [2]. By using instrumentation strategies, the measurements can be integrated seamlessly into the development process, e.g., as a standalone stage in the continuous integration process. The ANTAREX project plans to demonstrate the usage of the LARA DSL and the autotuning approach on two
use cases in cooperation with commercial partners, HPC Accelerated Drug Discovery System (Dompe), and the Self-adaptive Navigation System (Sygic). The poster is focused on the presentation of the DSL and autotuning tools for the self-adaptive navigation system use case, which basic idea is to
combine server-side and client-side data knowledge and their routing capabilities to provide the most efficient navigation system in the context of smart cities. In such a use case, we assume a significantly large portion of drivers participating in the system. The efficiency is essential given that the routing
system needs to serve many requests requiring potentially huge computation power. Then still, even without limits to be reached, it is desirable to optimize the execution of such a system with respect to the energy efficiency.
The probabilistic Time-Dependent Travel Time Computation algorithm [3] has been selected for the demonstration of DSL and autotuning tools usage in the Self-adaptive Navigation System. The input for the algorithm is a departure time and a selected route composed as a line of road segments. A Monte Carlo simulation (MCS) is used for the computation of the probability distribution of travel time for the selected route. The simulation randomly selects probabilistic speed profiles on
road segments and computes travel time at the end of the route. Many MCS iterations are needed to obtain enough travel times for the construction of the probability distribution of travel time. The number of simulation iterations greatly affects the precision of the result
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe 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
Get PDFWe 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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