1,721,128 research outputs found
Intelligent Robotic Process Automation: Generating Executable RPA Scripts from Unsegmented UI Logs
Full text linkRobotic Process Automation (RPA) is an automation technology that sits between the fields of Business Process Management (BPM) and Artificial Intelligence (AI) that creates software (SW) robots to partially or fully automate rule-based and repetitive tasks (or simply routines) performed by human users in their applications’ user interfaces (UIs). RPA tools are able to capture in dedicated UI logs the execution of many routines of interest. A UI log consists of user actions that are mixed in some order that reflects the particular order of their execution by the user, thus potentially belonging to different routines. When considering state-of-the-art RPA technology in the BPM domain, it becomes apparent that the current generation of RPA tools is driven by predefined rules and manual configurations made by expert users rather than intelligent techniques. In this paper, we discuss our research targeted at injecting intelligence into RPA practices. Specifically, we present an approach to: (i) automatically understand which user actions contribute to which routines inside a UI log (this issue is known as segmentation) and (ii) automatically generate executable RPA scripts directly from the UI logs that record the user interactions with the SW applications involved in a routine execution, thus skipping completely the (manual) modeling activity of the flowchart diagrams
Renewable sources urban cells microgrid. A case study
Full text linkNowadays, microgrid technologies play a relevant role in the research field as well as in the commercial market. The opportunity to provide electricity in wide areas without using centralized electrical infrastructure networks is a reliable key for achieving the European Union sustainability goals. In this regard, the proposed research aims at describing an electric microgrid configuration powered by a photovoltaic system, supplying three school buildings located in the center of Italy. Additionally, the resilience theme is deeply investigated, analyzing the use of an emergency generator system (EGS) in case of electric grid blackouts. MATLAB/Simulink was chosen to simulate the users’ energy demand as well as to calculate the microgrid performance. Results show that almost the total consumption of the microgrid is covered by the photovoltaic system, and the use of an EGS allows energy resilience and moderate economic savings for the communit
5d bim: Tools and methods for digital project construction management
Full text linkThe traditional workflows used to define construction costs are characterized by a series of common criticalities due to physiological inefficiencies of analogical or not-completely-digital processes. These include the waste of man-hours due to continuous requests for clarification by the computer scientist, or the transmission of partial or unverified information by the design team, or even inaccurate and approximate measurements based on 2D drawings. This can lead to lower levels of reliability of cost estimations with consequent design risks and the need for variants in progress, exceeding the project budget or the expected timeframe. The BIM approach can mitigate these risks, but it is necessary to define a planned and robust method that supports the consistency between the items of calculation and the elements of the model. This method needs to be based on a structured breakdown of the building and the activities necessary to the project, according to a clearly planned methodology. Therefore, it is necessary to define an approach capable of generating digital workflows and automatically updating quantities (especially in the event of changes to the project), as well as to ensure the correspondence between modelled elements and computation items, in order to have a consistent workflow and make immediate and clear the updating of information on each project document. The paper is oriented to the definition of a structure for cost planning process, which uses the experimentation of computer tools aimed at extracting the quantities directly from the model, allowing the automatic update in case of changes, through the use of a PBS (project breakdown structure), shared with the entire design team, and using a code system associated with the elements of the model, the calculation, but also to specialist reports, detailed graphics and schedules
Comment on: Linguistic and cognitive abnormalities in children with benign partial epilepsy with centro-temporal spikes (BCECTS).
No full textDigital twin predictive maintenance strategy based on machine learning improving facility management in built environment
No full textPredictive maintenance is a concept linked to Industry 4.0, the fourth industrial revolution, which monitors the performance and condition of equipment during normal operation to reduce failure rates. This chapter deals with a predictive maintenance strategy to reduce mechanical and electrical plants malfunctioning for residential technical plant systems. The developed strategy can guarantee a tailored maintenance service based on machine learning systems, drastically reducing breakdowns after a maximum period of 3 years.
The developed strategy evaluates an acceptable components failure rate based on statistical data and combining the average labor costs with the duration of each maintenance operation. The predictive strategies are elaborated on the minimum cost increase necessary to achieve the abovementioned objectives. A case study based on a 3-year period has been developed on a modern residential district in Rome comprised of 16 buildings and 911 apartments. In particular, the analysis has been performed considering mechanical, electrical, and lighting systems supplying the external and common areas, excluding the apartments to avoid data perturbation due to differenced users’ behaviors. The overall benefits of predictive maintenance management through Big Data analysis have proven to substantially improve the overall operation of different plants such as mechanical and electrical plants of residential systems
Big Data Analysis for Optimising the Decision-Making Process in Sustainable Energy Action Plans: A Multi-Criteria Evaluation Approach Applied to Sicilian Regional Recovery and Resilience Plans
Full text linkKeeping the global temperature rise below 2 degrees Celsius, as foreseen by the Paris Agreement, requires a new global roadmap for the energy transition. For this reason, the European Commission decided to directly involve local municipalities in reaching these objectives through multilevel, bottom-up actions for sustainable energy. The Covenant of Mayors is a very concrete demonstration of this trend of development and adoption of sustainable energy action plans (SEAP), rethinking the way cities operate and bringing them closer to energy self-sufficiency, with measures favouring local economic development and improving citizens’ quality of life. The numerous RES/RUE actions included in SEAPs at the regional level have led both to the request for huge funding and to increased complexity for regional managers to identify the best projects to be financed. To manage the multitude of data (emissions, energy consumption, cost, etc.) present in the SEAPs at a regional level, a web-based platform called Lex-energetica was developed. In this context, this paper aims to present a participatory supportive framework for the decision-making process involved in financing the SEAPs’ actions, considering the selection of sustainable Renewable Energy Sources (RES) and Rational Use of Energy (RUE) technologies. This study proposes a methodology based on two macro-phases: the first phase consists of a ranking evaluation of categories of areas of intervention based on the analytic hierarchy process, while the second identifies nine criteria, according to the domains corresponding to the three pillars of sustainability, to compare the most appropriate RES/RUE actions
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
- …
