1,720,975 research outputs found
Towards an Information Systems-driven Maturity Model for Industry 4.0
No full textThe term Industry 4.0 is used to denote the last evolution of manufacturing, concerning the large employment of information technologies, Internet-of-Things (IoT) and Artificial Intelligence (AI) to reduce the costs and produce high quality products. Even though many manufacturers declare themselves Industry 4.0-compliant, in order to attract public investments or to simply emerge among competitors, often only very limited aspects of the production comply with the definition. In this paper, we introduce the technologies involved in Industry 4.0, and, according to those ones, we propose the idea of a framework to assess the maturity of a company as an Industry 4.0 player
Supporting Zero Defect Manufacturing Through Cloud Computing and Data Analytics: the Case Study of Electrospindle 4.0
No full textIndustry 4.0 represents the last evolution of manufacturing. With respect to Industry 3.0, which introduced the digital interconnection of machinery with monitoring and control systems, the fourth industrial revolution extends this concept to sensors, products and any kind of object or actor (thing) involved in the process. The tremendous amount of data produced is intended to be analyzed by applying methods from artificial intelligence, machine learning and data mining. One of the objective of such an analysis is Zero Defect Manufacturing, i.e., a manufacturing process where data acquired during the entire life cycle of products is used to continuously improve the product design in order to provide customers with unprecedented quality guarantees. In this paper, we discuss the design choices behind a Zero Defect Manufacturing system architecture in the specific use case of spindle manufacturing
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
Unsupervised segmentation of human habits in smart home logs through process discovery
Full text linkSmart homes represent examples of cyber-physical environments realizing the paradigm known as ambient intelligence. An information system supporting ambient intelligence takes as input raw sensor measurements and analyzes them to eventually make decisions following final user preferences and needs. Unfortunately, algorithms in this research area are mostly supervised, thus requiring a manual labeling of training instances usually involving final users in annoying and imprecise training sessions. In this paper, we propose an unsupervised approach allowing, given a sensor log, to automatically segment human habits on a temporal basis, by applying a bottom-up discretization strategy to the timestamp attribute of the sensor log
Composing Smart Data Services in Shop Floors Through Large Language Models
Full text linkRecent years have witnessed an ever-growing use of Large Language Models (LLMs) to lower the technical barrier for several tasks, ranging from coding to querying relational databases to composing services. In this work, we focus on using LLMs to simplify access to data in the industrial scenario, by allowing humans operating on the shop floor to submit a query in natural language and then materializing a table integrating data gathered from different data sources including machines and information systems. In particular, we introduce COSMADS, which takes as input a query from an operator on the shop floor and automatically synthesizes a pipeline that leverages existing data sources accessible as services (data services), to compose a table output fulfilling the user’s information need. The proposed solution is evaluated using a real case study, showing that results obtained by taking into account available data service descriptions and previous pipelines outperform those obtained by naively employing a state-of-the-art code generation tool
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