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SemRevRec: a recommender system based on user reviews and linked data
Traditionally, recommender systems exploit user ratings to infer preferences. However, the growing popularity of social platforms has encouraged users to write textual reviews about liked items. These reviews represent a valuable source of non-trivial information that could improve users' decision processes. In this paper we propose a novel recommendation approach based on the semantic annotation of entities mentioned in user reviews and on the knowledge available in the Web of Data. We compared our recommender system with two baseline algorithms and a state-of-the-art Linked Data based approach. Our system provided more diverse recommendations with respect to the other techniques considered, while obtaining a better accuracy than the Linked Data based method
A study on the impact of HOVER platforms on design teams collaborative behaviors during collocated collective early preliminary design activities
Forest wildfire risk mapping and the influence of the weather and geo-morphological input data
A new mathematical model to localize a multi-target modular probe for large-volume-metrology applications
Recent studies show that the combined use of Large-Volume Metrology (LVM) systems can lead to a systematic reduction in measurement uncertainty and a better exploitation of the available equipment. This is actually possible using a recently developed modular probe, which is equipped with different typologies of targets and integrated inertial sensors. The goal of this paper is to present a new mathematical/statistical model for the real-time localization of this probe. This model is efficient, as it is based on a system of linearized equations, and effective, as the equations are weighed with respect to their uncertainty contribution
A topological reconfiguration procedure for maximising local consumption of renewable energy in (Italian) active distribution networks
Distribution networks (DNs) are facing great changes, due to the strong increase in distributed generation (DG), often driven by renewable energy sources. Designed to deliver electrical power from the transmission system to the final consumers, they are now becoming active and may inject power into the transmission network. In case of large DN, a portion of the system can be absorbing power from the transmission grid, while another portion injects power into it. In order to satisfy the power balance as much as possible at the local level, the distribution system operators are interested in the minimisation of the power exchange with the transmission network, maximising the local consumption of DG energy. This paper presents a topological reconfiguration procedure, based on the branch exchange technique, for the maximisation of the local consumption of renewable energy. A case study is presented, based on a real DN located in northern Italy
Light-cured polymer electrolytes for safe, low-cost and sustainable sodium-ion batteries
In this work we present a very simple preparation procedure of a poly(ethylene oxide) (PEO)-based crosslinked polymer electrolyte (XPE) for application in sodium-ion batteries (NIBs). The polymer electrolyte, containing NaClO4 as Na+ source, is prepared by rapid, energy saving, solvent-free photopolymerization technique, in a single step. Thermal, mechanical, morphological and electrochemical properties of the resulting XPE are thoroughly investigated. The highly ionic conducting (>1 mS cm−1 at 25 °C) polymer electrolyte is used in a lab-scale sodium cell with nanostructured TiO2 working electrode. The obtained results in terms of ambient temperature cycling behaviour (stable specific capacity of about 250 mAh g−1 at 0.1 mA cm−2 and overall remarkable stability, for a quasi-solid state Na polymer cell, upon very long term cycling exceeding 1000 reversible cycles at 0.5 mA cm−2 corresponding to > 5000 h of continuous operation) demonstrate the promising prospects of this novel XPE to be implemented in the next-generation NIBs conceived for large-scale energy storage systems, such as those connected to photovoltaic and wind factories
Design of the control strategy for a range extended hybrid vehicle by means of dynamic programming optimization
Electric vehicles (EVs) are attractive to reduce the pollution levels of urban areas thanks to their zero tail pipe emissions and to the possibility to rely on renewable energies for the electricity production. However, the market penetration of such vehicles is restricted by their limited range capabilities and by the lack of fast charging infrastructures. The Range Extended (R-EX) hybrid technology represents a valuable option to address these issues, since it offers the benefits of an EV, such as the electric driving for medium distances, while still maintaining the internal combustion engine, which can be operated at its optimal efficiency to recharge the battery, thus eliminating the Management System (EMS) of an R-EX Ultra-Light Vehicle (ULV), applying a heuristic approach based on the results obtained from the Dynamic Programming (DP) optimization, maximising the overall powertrain efficiency as function of trip information
Assessment of Anthropometric Differences in the Design of Workstations: Case Studies of an Automotive Assembly Line
The study investigates how the anthropometric differences in the postural analysis of workstations affect the ergonomic risk assessments. Three manual assembly operations from a car production line were selected as case studies. Postural analyses were performed through virtual manikins and selected operations were reproduced in physical in the lab. The program Siemens Teamcenter Visualization Mockup® was initially used to simulate the interaction of an "average-size" male worker with the workplace. Further analyses were carried out through a multibody model to verify the accessibility and postural comfort of different anthropometric percentiles. Results demonstrate the importance of a postural assessment also for limiting users, especially in case the assembly line cannot be adjusted to the operator's anthropometry, and the benefit of easy-to-use simulation tools to assist the ergonomist in the workstations design and to ensure the required comfort for all operators
A new approach for Total Ionizing Dose effect analysis on Flash-based FPGA
With the high flexibility, increasing computing power and lower power consumption, FPGA devices have gained a lot interest in space and avionic applications. Among different types of FPGA devices, Flash-based FPGA is becoming increasingly attractive since their configuration memory is almost immune to Single Event Upset (SEU) induced by energetic particles. However, when applied in such applications, especially long term space missions, the FPGA devices are subject to cumulative ionizing damage, as known as Total Ionizing Dose (TID). The TID may affect the FPGA causing performance degradation and possible eventual permanent damage leading to functional failure. In this paper, we propose a new workflow for analyzing the TID effect on Flash-based FPGA considering the different distributions of TID over the chip and the different impact factors when the configurable logic is programmed to implement different logics in the design. The experimental results show the feasibility of such workflow to be used as assessment tool at early stage of design development