1,720,973 research outputs found
Using big data for insights into sustainable energy consumption in industrial and mining sectors
No full textHuman activities related to the production and consumption of energy are negatively impacting the environment and need to be addressed by focusing on cleaner production. With this perspective, this study investigates sustainable energy consumption in the industrial and mining sectors. Although these sectors are experiencing exponential data growth, their adoption of big data technologies is limited. Hence, big data methods were applied to design a big data system that makes novel use of microservices and containers for modularity and extensibility. A hybrid architecture incorporating characteristics from polyglot persistence, data lakes and Lambda architecture was used. MongoDB served as the primary data store. The system was implemented for an engineering services company. The implementation yielded seven case studies, which illustrate the impact of big data on decision-making at the various levels of the hierarchy within an organisation. Valuable insights were delivered to personnel at the different levels of the organisational hierarchy. By developing these insights, directed at the appropriate personnel, improved decisions were taken and suitable actions initiated to achieve sustainable energy consumption reductions. The overall impact of the case studies was an energy saving of 75 622 MWh, a reduction of 74 111 Mg of carbon-dioxide-emission, and a saving of 108 141 m3 of water. Sustained reductions in energy consumption result in cleaner production and will eventually aid in addressing the various energy challenges confronting the econom
Implementing a DIKW model on a deep mine cooling system
Get PDFThe South African mining industry has been experiencing increasing economic pressure. Deep mines also suffer from very hot workplaces, which leads to safety risks. These factors place stress on managers to reach their production targets while providing safe workplace conditions. The data information knowledge wisdom (DIKW) model, also known as the wisdom hierarchy, was implemented on a deep mine cooling system. This study aims to show that a simple model such as the DIKW model can assist managers in improving their deep mine cooling system’s performance. The study found that the DIKW approach is a suitable approach for use on mine cooling systems to facilitate operational improvements. Applying the DIKW approach to a case study on a mine cooling system created substantial awareness and facilitated a cooling duty improvement of 55% which relates to an increase of 5.3 MW of refrigeration. The results of this study indicate that the DIKW approach may be a suitable approach to optimise management on deep mines using their existing infrastructure. Keywords: DIKW, Cooling system, Mining, Reportin
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
Local benchmarking in mines to locate inefficient compressed air usage
No full textCompressed air is a vital source of energy for deep mines. It is therefore alarming that leaks, wastages, and losses are the highest contributing factors to the deterioration of compressed air network efficiency. However, locating these losses in the extensive underground compressed air networks are both challenging and time-consuming. This study therefore introduces a novel method to locate inefficient compressed air usage in an underground mine. Local benchmarking using the correlation between the compressed air supply and production was thus employed to identify inefficient usage. The methodology was applied to the underground network of a platinum mine as a case study. The proposed local benchmarking methodology was able to identify levels with sizeable compressed air inefficiencies. Verification was then done by implementing wastage reduction initiatives on the entire underground network and comparing the results with the identified levels. It was thus verified that the methodology could be used to identify and prioritise local compressed air inefficiencies in an underground mine. Regression analysis was used to visualise and quantify the improved efficiency of the entire underground compressed air system. Implemented initiatives reduced compressed air consumption while an increase in productivity was observed, which highlights the importance of energy management in an underground mine. The proposed methodology provides a practical support tool that can be used by mine managers for underground compressed air networks. The methodology identifies the potential for compressed air wastage reduction and guides improvement efforts within individual mine
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
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