1,720,958 research outputs found
Development of IoT Solutions According to the PLM Approach
No full textThe Industrial Internet of Things (IIoT) is one of the nine enabling technologies of Industry 4.0, which in recent years has seen an exponential increase in its applications. New production devices that are naturally equipped with this technology and the retrofitting solutions for industrial devices already installed in our industries, promote the demand of IIoT solutions. The Internet of Thing is often associated with Product Lifecycle Management (PLM) due to its ability to provide data which, when appropriately analyzed, feed the PLM system allowing for the tracking of the product along its life cycle. In this paper, the point of view is reversed: the IIoT solution, which is designed, implemented and maintained in an industrial system, is the product that must be managed with a PLM approach. IIoT solutions have characteristics that require the use of a PLM approach: they must meet complex requirements, they must adhere to standards and be compatible with the company's existing IT infrastructure, they are complex systems that interface many other systems and have a long lifecycle during which they are subject to innumerable modifications and extensions. It is therefore justified, from a research point of view, to investigate the characteristics that a PLM approach must have to support the development of an IIoT solution. This paper, based on the theory and evidences from industries and academies, traces a reference framework for the development of an IIoT solution supported by the PLM approach. To test the validity of the proposed guidelines, the paper illustrates their application in the development of a simple IoT solution dedicated to teaching and training
Open-Source IoT Lab for Fully Remote Teaching
No full textIn the era of Industry 4.0, the concept of IoT has pervaded every sector of manufacturing, promoting hyperconnectivity as an enabling status for effective communication between company departments, as well as real-time monitoring of the status of manufacturing resources. The Coronavirus pandemic, due to the SARS-CoV-2 virus (COVID-19), confirmed the advantages provided by an IoT ecosystem in the worldwide economy. The role of universities in the development and use of this technology is twofold: on the one hand, the research activity supports the digital transformation of enterprises, and on the other hand the teaching activity trains the new managers of the future. Therefore, this work proposes a didactical activity in which students are guided to the creation of an IoT system that has several advantages: it is easy to develop, it uses only open-source components, and it includes all the necessary modules for the development of a real Industrial IoT (IIoT) system. Thanks to this experience, the students acquire different skills: (1) they operate on the hardware part of the system using sensors and actuators connected to a Raspberry Pi; (2) they develop and connect PostgreSQL database; (3) they generate an automation algorithm with for intelligent data management; finally, (4) they design a Human-Machine Interface using dashboards and social chat. The scope of this lab is not focused to university teams only. It is also accessible to high school students thanks to drag and drop programming (Node-Red) and tools (Telegram) close to the students everyday life. A further contribution of this project is to provide a method of managing a course that can be conducted entirely remotely as demonstrated during the current pandemic period
A smart aeroponic system for sustainable indoor farming
Full text linkPopulation growth requires a significant increase in agricultural production to ensure food security. However, the further increase in such production is limited by the environmental crises and by the negative impacts of open-field agricultural practices. Vertical farming techniques, such as aeroponics, can be exploited to optimize the use of resources. This paper presents a methodology for developing a smart aeroponic systems, based on IoT and artificial intelligence algorithms. The proposed methodology is used to identify the parameters that affect plant growth and their correlations with the plant performance indicators. The obtained smart aeroponic system will be able to automatically balance resource utilization (e.g., water, nutrients, energy) and crop productivity
Prediction and estimation model of energy demand of the AMR with cobot for the designed path in automated logistics systems
Full text linkThe ecosystem of the Industry 4.0 involves many new technologies, such as autonomous mobile robots (AMR) and cobots (collaborative robots), these are characterized with higher flexibility and cost effectiveness which makes them more suitable for automated internal logistics systems. The evaluation of energy consumption of AMRs for a designed path in a real case scenario using analytical tools are challenging. This paper proposes a method of evaluation of the sustainability of new technologies of Industry 4.0 in internal logistics. The proposed framework demonstrates data management technique of the industrial robots. Since, the AMR with manipulator perform different tasks as a single system in logistics there is big demand to develop model of cyber physical system. During task execution measured robots' physical parameters used as input data to perform analytics. Moreover, acquired data from different condition use cases have been used to monitor the battery behaviour of the AMR and preliminary results of the linear regression model is presented
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
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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