1,720,956 research outputs found
A Computer Vision Approach for Estimating Embodied Carbon to Support Circular Economy Decisions
The circular economy of urban settlements is essential for sustainability and limiting climate change to under 2°C. While the circular economy in building stocks can be achieved through design optimized for resource recovery, challenges persist due to insufficient data on existing building stocks, material weights, and geo-locations. Urban building stock estimation and mining address these issues by mapping and analysing building resources. However, traditional urban mining methods are time-consuming, costly, and rely on expert assumptions. This study applied a novel computer vision approach and tested ResNet and DenseNet deep learning models to classify typical building facades in Australia. It automatically estimated the façade material stock and its embodied carbon. The ResNet-50 model achieved the highest performance (F1-score: 0.77, Accuracy: 0.803) and was deployed in Southport (SA 3) of the city of Gold Coast. Of the available image data, 78% was successfully inferred in Southport, while 22% remained unidentified due to the coverage limitations of open-street view images. Using model predictions, semantic data, and expert consensus, façade material stock weight was estimated, and embodied carbon coefficients were applied to account for the total embodied carbon. Results show that larger-scale autonomous stock estimation is feasible, offering significant advantages over traditional methods. This approach supports data-driven circular economy applications for sustainable urban planning and climate change mitigation.No Full Tex
Determinants of intention to use project management information system by agile project teams in the information technology industry in Sri Lanka: An extension of the classic technology acceptance model
Effective project management is crucial for success in today's fast-paced information technology industry. Agile methodologies have gained prominence for adaptability, but managing multiple agile projects can be complex. Project management information systems offer a solution, yet their adoption remains limited, particularly in Sri Lanka. This research, guided by the technology acceptance model, aims to identify the determinants of intention to use project management information systems by agile project teams in the Sri Lankan information technology sector. The objectives are to identify the factors driving the intention to use project management information systems in agile project teams from the past literature and to shortlist and discuss the most relevant factors for the Sri Lankan context with academia and industry experts' opinions. The study highlights the crucial role of perceived usefulness, ease of use, social pressure, performance expectancy, and perceived self-efficacy in influencing the intention to use project management information systems. Despite the potential of project management information systems to enhance project management, limited interest in different project management information systems and technical expertise hinders their adoption in Sri Lanka. Addressing this issue is vital for improving project performance, collaboration, and overall effectiveness within the information technology industry. The research bridges the gap that hinders the literature about the user's intention to use project management information systems, based on the factors that determine the intention to use various information systems, ultimately supporting the successful integration of project management information systems into agile project management practices
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
“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
We 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
We 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
We 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.
Author-wise bibliometric analysis based on entropy.</p
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