1,721,008 research outputs found
E-GMDCSA24: Event Based Human Fall Detection Dataset
No full textThis dataset consists of RGB-to-Event converted data for Human Fall Detection. It is intended for use in Human Fall Detection tasks leveraging Neuromorphic/Event-based Vision. The dataset includes Event images, RGB images, and files containing raw event data
E-Fall Vision: Event Based Human Fall Detection Dataset
No full textThis dataset consists of RGB-to-Event converted data for Human Fall Detection. It is intended for use in Human Fall Detection tasks leveraging Neuromorphic/Event-based Vision. The dataset includes Event images, RGB images, and files containing raw event data
E-CAUCAFall: Event Based Human Fall Detection Dataset
No full textThis dataset consists of RGB-to-Event converted data for Human Fall Detection. It is intended for use in Human Fall Detection tasks leveraging Neuromorphic/Event-based Vision. The dataset includes Event images, RGB images, and files containing raw event data
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
Grid code compliance study of wind power plant using power system simulator for engineering (PSS/E)
No full textThe operational dynamics and stability of modern grid have been influenced significantly by the increasing penetration of converter based renewable energy resources, particularly by wind power plants. Like other countries, power sector regulatory authority, National Electric and Power Regulatory Authority (NEPRA), of Pakistan has developed comprehensive technical standards called grid code, to ensure the reliable, secure and stable operation if transmission network, owned and operated by National Transmission and Despatch Company (NTDC), considering the integration of renewables. However, literature shows a limited scope of research in the area of compliance studies, especially dynamic analysis, for wind energy integration into NTDC network.
This research work analyzes impact, both in steady and dynamic state in accordance with NEPRA grid code, of 400 MW wind power plant assumed to be connected in southern side of transmission network, the part of country which is rich in wind energy potential. The analysis is simulation based carried out on Power System Simulator for Engineering (PSS/E), a comprehensive power system analysis tool developed by Siemens, by using authentic base case of NTDC prepared to represent summer peak load scenario in year 2028. Full converter based Type 4 wind turbine is assumed and modeled for simulations, and for dynamic analysis part, Western Electricity Coordinating Council (WECC) generic model (WT4) is used.
Thesis work is based three types of analysis, load flow, contingency, and dynamic stability analysis, where load flow and contingency analysis fall under steady state analysis. Results of steady state analysis confirmed that all the transformers and transmission lines operated well within their rated capacities. Also, the bus voltages remained within allowable limits, outlined in grid code criteria. Dynamic stability analysis demonstrated that voltage recovery criteria is being met and frequency fluctuations are effectively damped under all 3-phase and 1-phase disturbances.
Based on comprehensive analysis it is concluded that under observation transmission network is strong enough to accommodate wind generator of target capacity without violating standards of grid code. This research creates a tested simulation based framework for integrating renewable energy sources and presents valuable insights to help Pakistan move toward a stable, compliant, and sustainable power system dominated by converter driven clean energy technologies
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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