1,720,954 research outputs found
Design of a locomotive UI for system testing (SA)
No full textThis project presents a novel UI prototype for a locomotive testing system that specifically targets the driver's cab.
Starting from the cluttered and unstructured LabVIEW application, our goal was to design and develop a new application that was user-friendly and structured.
By aligning the structure with the real locomotive, the prototype aims to provide an intuitive user experience.
The resulting prototype takes a component-based approach and focuses on design, extensibility and modularization.
The design was developed with Figma and implemented using web technologies; more specifically an Electron application combined with React was implemented.
A key feature is the customization capability through a configuration file in CSV format, allowing flexible configuration of modules and variants.
To simulate the prospective interface connection, a mock-backend was created, as the actual backend implementation is pending.
This project provides a solid foundation for further development and demonstrates the possibilities of extending the application with additional views and functionality, ultimately serving as a valuable platform for ongoing work in this area
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
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
Document Management using Large Language Model
Get PDFInitial Situation:
The management and retrieval of documents can be challenging due to the unstructured nature
of their content. Traditional search methods, which rely on document names, are often inefficient
and ineffective. With the rise of Transformers-based Large Language Models (LLMs), which sig-
nificantly enhance our everyday tasks, there is an opportunity to improve the search and man-
agement of these documents. The integration of LLMs can transform unstructured data into
structured metadata, making documents more accessible and organized.
Objective:
Within the scope of this project, we aim to build a Single Page Application of this type. We created this prototype application, which is able to store, read, and process PDF documents with unstructured data and generate metadata using an LLM. This metadata improves document search and
management, as well as streamlines repetitive tasks such as sending an email reminder to a
customer. The prototype is designed to be easily expandable to facilitate the continuous development and implementation of new features.
Conclusion:
In this project, we developed a prototype application utilizing React and TypeScript for the frontend while using NestJS with TypeScript for the backend. We integrated external services such as Hugging Face and Zapier. The application enables users to upload PDF documents, extract
a suitable title, summary, and tags using a Large Language Model (LLM), and search for docu-
ments based on this metadata. Additionally, it includes a feature for sending email reminders
to customers for specific files. Designed with scalability in mind, the application allows for the
easy addition of new features in the future, such as integrating various file types like pictures,which could utilize the LLM. This proof of concept demonstrates the potential of using LLMs to enhance document management and retrieval
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
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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