1,720,975 research outputs found
Advanced Intelligent Systems for Process Improvements in Professional Laundries
The thesis presents a theoretical and experimental study on the improvement of the cleaning process for professional laundries, from sorting to drying phase. The research focuses on three areas, which can be enhanced to obtain benefits for both customers and workers. Sorting of garments, based on the washing program, is a time-consuming and hazardous job, as the workers are exposed to possible contaminants and bacteria, which proliferate in dirty clothes. In particular, this is very important in the hospitals business, where the clean rooms must be separated from the contaminated areas. In these places, the automation of the process is needed, along with an intelligent system able to correctly recognize and categorize the items for the subsequent sorting. After that the loads are divided into different baskets, to be finally washed in professional appliances. In the washing cycle, the dewatering process is an important step, because it permits to short the post drying operations in tumble dryers and thus to save energy and time in the entire laundry process. Moreover, to guarantee the best performance possible during the extraction, it is important that the washing machine can detect and predict the amount of water content in the load during the extraction cycle, based on the type of load, the dimension of the drum, the spinning time and speed. For these reasons, an experimental three-dimensional model is developed, which depends on the drum speed and the extraction time. Finally, the garments need to be dried before being sent back to the laundries’ customers. The moisture measurement, during a drying cycle, is important for knowing the trend of the water evaporation and to stop the appliance at the right point, based on the program selected by the user. The sensors that are today used in the professional appliances are not accurate when the loads are near to the dry conditions, so the cycles last some minutes more to correctly evaporate the water from the textiles. It is fundamental to have accurate sensors in the entire range of the drying cycle, especially when the garments are almost dry, as it let to reduce the energy consumption, by avoiding the over drying. Since an improvement is needed especially in this area, a textile moisture content sensor based on self-capacitance technology is proposed, with an experimental evaluation on four different fabric types. The solutions proposed in this thesis are the results of a research on the last advances in artificial intelligence and electronics, with a focus on their application for the professional business. The devices developed, verified with real functioning prototypes, show excellent results and are applicable for the laundry business. The research here proposed cover the entire cleaning process and is able to improve three areas that are today critical for the business
An Instructional Program to Support Early Equipment Management in a Manufacturing Company
The fast pace of change in the modern world forces companies to manufacture new products in a short amount of time with the best technologies available in the market. For this reason, new manufacturing equipment is implemented in the shop floor with the aim of a vertical production ramp-up after the installation. Nevertheless, many problems, which were not initially taken into account, arise causing delays during the start of production. In the first part of the paper, an overview of Early Equipment Management will be presented. This methodology has the aim of making competitive installations through the anticipation of the problems that may arise during equipment’s life and the main goal is to start the production in the shortest possible time. In the second part of the paper, a case study concerning a manufacturing plant will be described. Taking advantage from the installation of a new welding robot, an instructional program for workers has been implemented to reduce the learning time for the equipment setup and for assembling different parts of the products. This will allow a fast rampup and waste reduction
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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