1,720,967 research outputs found
CAD-VR Integration as a Tool for Industrial Assembly Processes Validation: A Practical Application
No full text
Environment for Planning Unmanned Aerial Vehicles Operations
No full textPlanning and executing missions in terms of trajectory generation are challenging problems in the operational phase of unmanned aerial vehicles (UAVs) lifecycle. The growing adoption of UAVs in several civil applications requires the definition of precise procedures and tools to safely manage UAV missions that may involve flight over populated areas. The paper aims at providing a contribution toward the definition of a reliable environment, called FLIP (flight planner) for route planning and risk evaluation in the framework of mini- and micro-UAV missions over populated areas. The environment represents a decision support system (DSS) for UAV operators and other decision makers, like airports authorities and aviation agencies. A new ICT tool integrating an innovative procedure for evaluating the risk related to the use of UAV over populated areas is proposed
Artificial Intelligence Enabled Indoor Localization and Navigation: A Review
No full textA systematic review of AI-enabled indoor localization and navigation is presented, focusing on how these advancements address the limitations of GPS-based systems. A PRISMA-based approach was employed to identify relevant peer-reviewed articles in English, ultimately selecting 65 papers from 54 journals involving 253 authors. Bibliometric techniques and keyword clustering reveal an evolving research landscape centered on digital indoor modeling, machine learning, deep learning, sensor fusion, and robotics-based applications. Citation trends confirm growing interest in AI-driven solutions for signal obstruction, multi-floor settings, and real-time navigation, demonstrating a shift toward integrated sensors and IoT devices for enhanced positioning accuracy. Emergent thematic clusters highlight human–machine interaction, including Augmented Reality, emergency management, and healthcare assistance, indicating diverse contexts in which AI-based indoor localization can be adopted. The findings underscore how algorithms such as fingerprinting, neural networks, and Bayesian methods refine performance and reliability. Despite considerable progress, the literature indicates a lack of standardized methodologies and infrastructures, underscoring the continued need for adaptable, cost-effective solutions. Overall, the potential of AI to elevate indoor navigation services through greater precision, robustness, and situational awareness is emphasized, while future work should focus on interdisciplinary collaboration, unified frameworks, and the ethical implications of data-driven systems
A real options-based approach in guaranteed energy savings contracting
No full textThe full development of the energy services company (ESCO) industry is still inhibited by the difficulties during the negotiation between customers and ESCOs. Contractual arrangements are traditionally based on energy performance contracting (EPC). Improvements on EPC schemes are required in order to achieve the success of the negotiation. This work focuses on a particular type of EPC, named guaranteed savings (GS) contract, where a minimum energy saving is guaranteed to the customer by the ESCO. A model based on real options theory to share risks among contractual parties is proposed in order to estimate the fair value of main contractual parameters. A Monte Carlo simulation is adopted for evaluating the most critical factors influencing the overall risk sharing. A numerical example concerning a cogeneration plant of a paper mill is presented. A two level full factorial design of experiments (DOE) analysis is carried out in order to estimate single and compound effects of model parameters
A foresight strategy proposal for ICT scenarios definitions: An application for PLM tools and systems
No full textTechnology foresight has an important role for companies and institutions for make predictions and defines drivers to be leveraged and scenarios to be implemented. Foresight become more relevant in case of organizations working in the development of complex products. The Italian project KHIRA wants to innovate the product design processes using and customizing emerging technologies and providing a unique point of access to all the relevant knowledge for the designers. Several methodologies and technologies are developed in the project KHIRA included a foresight strategy. Based on this assumption, the paper proposes a technological foresight strategy suitable to merge contributions coming from the industrial and academic fields through a combinations of feedbacks and emerging trends. An application of the strategy has been performed to explore evolutions of PLM tools and systems. Reliability and Replication of the strategy are guaranteed trough a careful definition of each step
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
- …
