1,720,960 research outputs found
Computational Intelligence Techniques for Energy Management in Industrial and Residential Systems
No full textNell’era della digitalizzazione, l’Energy Management (EM) è diventato uno degli argomenti più importanti in sia in ambito industriale che residenziali. L’importanza di risolvere e migliorare alcuni compiti in questa era porta alla necessità di applicare alcuni metodi di intelligenza computazionale (CI) e di intelligenza artificiale (AI).
Gli obiettivi e i contributi di questa tesi sono legati all’EM in i) sistemi industriali (con riferimento all’Industria 4.0) agendo sulla progettazione del sistema di controllo e ii) sistemi residenziali dando all’utente un ruolo attivo in uno scenario di flessibilità.
Nel primo scenario, l’autore presenta due metodologie CI. Il primo approccio consiste nell’applicare un algoritmo meta-euristico a sistemi industriali ricon- figurabili al fine di trovare un set di parametri del controllore ottimale. Le prestazioni di questa tecnica si basano sulla scelta di un opportuno funzionale da ottimizzare. La seconda metodologia è l’applicazione di una tecnica di rile- vamento della somiglianza tra segnali come supervisore del sistema di controllo. Questo è implementato per superare i limiti della prima metodologia. Entrambi questi approcci sono testati su un sistema reale.
Nel secondo scenario, l’autore propone l’applicazione di una tecnica CI volta a prevedere l’utilizzo degli elettrodomestici da parte degli utenti. Queste in- formazioni, condivise con il fornitore di energia, potrebbero essere molto utili per alimentare programmi di flessibilità. I risultati ottenuti mostrano come le prestazioni dell’algoritmo proposto siano migliori degli approcci classici.In the digitalization era, Energy Management (EM) has become one of the most important topics in both industrial and residential scenarios. The importance of solving and improving some tasks in this epoch leads to the need to apply some Computational Intelligence (CI) and Artificial Intelligence (AI) methods.
The objectives and contributions of this thesis are related to the EM in i) industrial systems (with reference to the Industry 4.0) by acting on the control system design and ii) residential systems by giving the user a role active in a flexibility scenario.
In the first scenario, the author presents two CI methodologies. The first approach consists of applying a meta-heuristic algorithm to reconfigurable sys- tems in order to find a sub-optimal controller parameter set. The performance of this technique is based on the choice of a suitable function to be optimized. The second methodology is the application of a similarity detection technique as a control system supervisor. This is implemented to overcome the limita- tions of the first methodology. Both of these approaches are tested on a real system.
In the second scenario, the author proposes the application of a CI technique aiming to forecast home appliances usage. This information, shared with the energy supplier, is could be very useful to fed flexibility programs. The obtained results show how the performance of the proposed algorithm is better than the classic approaches
Human-Robot Cooperation via Brain ComputerInterface in Assistive Scenario
No full textIn the last years, the development of robots for assisting and collaborating with peo-ple has experienced a large growth. Applications for assistive robots include hospitalservice robots, factory intelligent assistants and personal homecare robots. Workingin shared environments with human beings, these robots have frequent need of aneffective human-robot cooperation. This work introduces a possible approach forperforming human-robot cooperation, namely recognition of a user selected objectby means of Brain Computer Interface (BCI), followed by pick and place of thesame object via a robotic arm. The object selection is achieved using a BCI thatallows to choose one among different objects of common use, by interpreting theP300 signals generated in the brain when the image of the object desidered by theuser appears on a computer screen. Then, the robot recognizes through a classifierif the selected object is within its workspace, grasps the object and moves it intoa different position. This system could support people with limited motor skills orparalysis, playing an important role in structured assistive environments in a near future
Real time indoor localization integrating a model based pedestrian dead reckoning on smartphone and BLE beacons
No full textMobile and pervasive computing enabled a new realm of possibilities into the indoor positioning domain. Although many candidate technologies have been proposed, no one can still adapt to every use case. A case centered design and the implementation of the solution within the specific domain is the current research trend. With the rise of Bluetooth Low Energy (BLE) Beacons, i.e., platforms used to interact digitally with the real world, more standard positioning solutions are emerging in different contexts. However the reachable positioning accuracy with this technology is still unacceptable for some real applications (e.g., in the healthcare sector or the emergency management). In this paper, an hybrid localization application coupling a real time model based Pedestrian Dead Reckoning (PDR) technique and the analysis of the Received Signal Strength Indicator (RSSI) of BLE beacons is proposed. In particular, the smartphone application is composed by three main real time threads: a model based step length estimation, heading determination and the fusion of beacon information to reset the position and the drift error of the PDR. In order to give soundness to our approach we firstly validated the step length smartphone app with a stereo-photogrammetric system. The whole proposed solution was then tested on fifteen healthy subjects
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
A robust and self-tuning speed control for permanent magnet synchronous motors via meta-heuristic optimization
No full textIn a reconfigurable manufacturing scenario, control system design needs innovative approaches to face the rapid changes in hardware and software modules. The control system should be able to automatically tune its parameters to enhance machine performances and dynamically adapt to different control objectives (e.g., minimize control efforts or maximize tracking performances) while preserving at the same time stability and robustness properties. In this paper, a robust control system for permanent magnet synchronous motors (PMSMs), together with an online self-tuning method, is presented. In particular, a robust discrete-time variable structure control (VSC) has been designed. A heuristic bio-inspired approach has been then implemented on a digital signal processor (DSP) to find the VSC parameter set which minimizes a specific objective function each time a novel speed reference is provided. Experimental results on a PMSM motor show the effectiveness of the proposed controller and tuning method, with noticeable improvements with respect to the original manufacturer-designed controller
Non Intrusive Load Identification for Smart Energy Management Systems
No full textIn an energy management (EM) perspective, an ob- jective function considering the balance of energy and resources needs to be optimized. To reach the goal, in a residential scenario, a number of tasks (typically appliances) can be managed (e.g. shifted). This paper proposes an unobtrusive cascade classifier approach to autonomously identify the different appliances and their priorities (shiftable, non interruptible, continuous loads) in EM algorithms based on smart plugs measures
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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