1,721,255 research outputs found
Air Quality Monitoring in a BIM model by means of a IoT Sensors Network
BIM (Building Information Modeling) is an object-oriented approach for the digital modeling of buildings and infrastructures, a centralized system for sharing technical information among all Stakeholders during the entire life cycle of the structure. BIM is at the same time a tool for planning, evaluation, monitoring and documentation; however, some constraints determine a potential gap between represented reality and actual reality. This gap is determined by the fact that the information within the system is updated manually by expert designers, losing substantial synchronization with the real system under analysis. The risk is also to have a so extensive dataset to make its update management complex for a human user. Currently, to achieve direct interaction between civil structures and digital modeling systems, the scientific community is carrying out researches for the application of digital twin concepts in the field of construction automation. In particular, studies about the integration between IoT sensor networks and BIM start to be explored. The project described in this paper aims to propose such integration with a specific focus on air quality parameters monitoring, leveraging on scalable approaches. The data updating system is based on a distributed IoT sensor network, designed and implemented using free and open-source software; the communication protocols are all based on open broker-based technologies, like MQTT, and the data dashboard aimed to visualize real-time data and historical data series are based on web applications over HTTP. The research project led to the creation of a sensorized and BIM-modeled hub which demonstrates the validity of the concept
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
Decentralized line equipment detection and production control by multi-agent technology
The complexity of modern industrial production systems and the persistent connectivity at the local level of manufacturing resources by means of IoT technologies are encouraging the study of increasingly flexible and reconfigurable control methods. Currently industrial software agents are mainly used for controlling job-shop organized systems, relying on negotiation mechanisms between Product agents and Resource agents. In this paper instead, we aim to develop a distributed production line controller, using agent-based technology for designing decentralized and communicating local state machines. The objective of the study is to obtain a global control system deriving from the interaction and exchange of information between software agents associated with each machine on the production line. The controller implemented has the purpose of eliminating the central infrastructure, generally present in industrial automation systems: the goal is to move the decision-making process locally by associating intelligent entities to each machine. The advantage of decentralization lies in the possibility of having a modular, flexible and reconfigurable line controller concept: indeed, there is no supervisor aware of the entire system to control. The agents can also collaborate for a line detection in case of very complex line without there being statistical evidence of performance deterioration. To validate the functionality of this approach, experimental tests were conducted in a virtual environment
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
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