1,720,958 research outputs found
Data exploitation at different levels for Behaviour Analysis in real-world scenarios
No full textLa ricerca è stata condotta nell’ambito dell’analisi dei comportamenti, con l’obiettivo di sfruttare e rielaborare differenti tipologie di dati, offrendo le basi per nuovi sviluppi e metodologie all’interno di un determinato scenario.
L’analisi del comportamento è stato affrontato in 3 scenari reali:
In ambito AAL è stata creata un’architettura basata sulla piattaforma “Zabbix” in grado di monitorare e raccogliere dati provenienti da numerosi smart objects in una casa domotica. In questo ambito l’obiettivo principale è stato quello di sfruttare i dati raccolti per definire e delineare dei comportamenti anomali di persone anziane all’interno della loro abitazione, implementando un sistema intelligente basato su algoritmi di machine learning in grado di far scattare allarmi; un aspetto innovativo di questo sistema è la capacità di incrociare allarmi provenienti da più SOs garantendo una diminuzione di falsi positivi. Il progetto ha coinvolto 16 aziende e 2 università.
Nell’ambito Industry 4.0 è stata sviluppata un’applicazione per la realtà aumentata fruibile attraverso smart glasses e finalizzata al training on the job. Il progetto nasce dalla collaborazione dell’azienda Intermac, specializzata nella lavorazione di pietra, vetro e metallo. L’obiettivo è di addestrare l’operatore nello svolgimento di un task mediante animazioni 3d e labels informative. E’ stata posta notevole attenzione allo studio dell’usabilità di dispositivi wearable perché rappresenta una delle principali criticità di questa tecnologia.
Nell’ambito E-commerce è stato condotto lo studio sui dati di navigazione degli utenti che hanno effettuato acquisti all’interno dell’e-commerce. Questi dati, opportunamente filtrati e accorpati in sessioni di navigazione, consentono di addestrare reti neurali (LSTM) nel riconoscimento di sequenze di azioni. L’obiettivo principale è quello di migliorare il processo di acquisto dell’utente proponendo prodotti sulla base delle operazioni svolte sul portale e-commerce. Il lavoro presentato in questa tesi è stato reso possibile grazie alla collaborazione con la società informatica Apra Spa che ha cofinanziato il dottorato con una borsa di studio EUREKA.The research was carried out in the field of behavioural analysis, with the aim of exploiting and re-elaborating different types of data, offering the basis for new developments and methodologies within a given scenario.
The analysis of behaviour has been addressed in 3 real-life scenarios.
In Ambient Assisted Living (AAL) has been created an architecture based on the "Zabbix" platform that can monitor and collect data from different smart objects in a home automation house. In this context, the main objective was to exploit the data collected to define and outline anomalous behaviours of elderly people in their homes, implementing an intelligent system based on machine learning algorithms capable of triggering alarms; an innovative aspect of this system is the ability to cross alarms from multiple SOs ensuring a decrease in false positives. The project involved 16 companies and 2 universities.
In Industry 4.0, an application has been developed for augmented reality, usable through smart glasses and aimed at training on the job. The project stems from the collaboration of Intermac, a company specialized in stone, glass and metal processing. The goal is to train the operator in carrying out a task by means of 3D animations and informative labels. Considerable attention has been paid to the study of wearable devices' usability because it is one of the main critical aspects of this technology.
In the field of E-commerce, a study has been conducted on the navigation data of users who have made purchases within the e-commerce website. These data, suitably filtered and grouped in navigation sessions, allow to train neural networks (Long Short Term Memory networks – usually just called “LSTMs") in the recognition of action sequences. The main objective is to improve the user's purchasing process by proposing products based on the operations carried out on the e-commerce portal.
The work presented in this thesis was made possible thanks to the collaboration with the IT company Apra Spa which co-financed the doctorate with a EUREKA scholarship
HDOMO: Smart Sensor Integration for an Active and Independent Longevity of the Elderly
Full text linkThe aim of this paper is to present the main results of HDOMO, an Ambient Assisted Living (AAL) project that involved 16 Small and Medium Enterprises (SMEs) and 2 research institutes. The objective of the project was to create an autonomous and automated domestic environment, primarily for elderly people and people with physical and motor disabilities. A known and familiar environment should help users in their daily activities and it should act as a virtual caregiver by calling, if necessary, relief efforts. Substantially, the aim of the project is to simplify the life of people in need of support, while keeping them autonomous in their private environment. From a technical point of view, the project provides the use of different Smart Objects (SOs), able to communicate among each other, in a cloud base infrastructure, and with the assisted users and their caregivers, in a perspective of interoperability and standardization of devices, usability and effectiveness of alarm systems. In the state of the art there are projects that achieve only a few of the elements listed. The HDOMO project aims to achieve all of them in one single project effectively. The experimental trials performed in a real scenario demonstrated the accuracy and efficiency of the system in extracting and processing data in real time to promptly acting, and in providing timely response to the needs of the user by integrating and confirming main alarms with different interoperable smart sensors. The article proposes a new technique to improve the accuracy of the system in detecting alarms using a multi-SO approach with information fusion between different devices, proving that this architecture can provide robust and reliable results on real environments
IOT architecture for the processing of data collected by a central vacuum cleaner
No full textThe paper reports on a use case of vertical integration and predictive maintenance, two concepts that fall within the wider “Industry 4.0” domain. We designed an Internet of Things based-system for the collection, processing and management of data coming from central vacuum cleaners. The developed embedded system for data retrieval from the vacuum via MODBUS and for sending them to a cloud server via WiFi is described in detail. We also present the software techniques used to manage data and the application developed for the presentation of collected data to several types of users: administrators, customers and distributors. Finally, they are highlighted the advantages for using information stored in optimizing the assistance service, marketing opportunities and market analysis.</jats:p
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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