1,721,112 research outputs found

    Validating CSCW strategies and applications for rapid product development in investment casting process

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    The aim of this study is to apply and validate a general-purpose working methodology, derived from the analysis of processes which come from two different domains ( the field of medicine and the preservation of cultural heritage), in the investment casting process. CSCW methods and tools have proven to be the best 'gluing tool' to bond the different activities, and thus heavily exploited during the customization of the general-purpose working methodology. This paper describes a case study performed in an industrial sector and related to the investment casting application field. It was chosen to test methodology and to demonstrate its wide applicability. The case study involved the realization of a centrifugal pump impeller, where the application of this CSCW-based methodology has delivered important results such as the reduction of product development time and the drastic reduction of production costs. RI Motyl, Barbara/B-1193-2010; Filippi, Stefano/A-6118-200

    Comparing Parametric Solid Modelling/Reconfiguration, Global Shape Modelling and Free-Form Deformation for the Generation of 3D Digital Models of Femurs from X-Ray Images

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    At present, computer assisted surgery systems help orthopaedic surgeons both plan and perform surgical procedures. To enable these systems to function, it is crucial to have at one's disposal 3D models of anatomical structures, surgical tools and prostheses (if required). This paper analyses and compares three methods for generating 3D digital models of anatomical structures starting from X-ray images: parametric solid modelling/reconfiguration, global shape modelling and free-form deformation. Seven experiences involving the generation of a femur model were conducted by software developers and different skilled users. These experiences are described in detail and compared at different stages and from different points of view. RI Motyl, Barbara/B-1193-2010; Filippi, Stefano/A-6118-200

    Analysis of Existing Methods for 3D Modelling of Femurs starting from Two Orthogonal Images and Development of a Script for a Commercial Software Package

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    Background: At present the interest in medical field about the generation of three-dimensional digital models of anatomical structures increases due to the widespread diffusion of CAS - computer assisted surgery - systems. Most of them are based on CT computer tomography - or MR - magnetic resonance - data volumes but sometimes this information is not available; there are only few X-ray, ultrasound or fluoroscopic images. Methods: This paper describes the study and the development of a script for a commercial software package (ads Max) able to reconfigure the template model of a femur starting from two orthogonal images representing the specific patient's anatomy. Results: The script was used in several tests as summarized in this paper and the results appear to be interesting and acceptable, even for the medical experts that evaluated them. Conclusions: The script developed in this work allows the generation of the 3D model of a femur in a very simple way (the user interface has been developed obeying to the main usability guidelines) and using a widespread commercial package. The quality of the results can be compared to the quality of more expensive and specialized systems. (c) 2007 Elsevier Ireland Ltd. All rights reserved. RI Motyl, Barbara/B-1193-2010; Filippi, Stefano/A-6118-200

    Optimizing AI Involvement in Engineering University Courses Based on Students' Personality

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    Artificial Intelligence (AI) enhances educational experiences in engineering but varies in effectiveness based on student personality traits. This study investigates the impact of personality traits on engineering students’ perceptions of Artificial Intelligence (AI) to optimize AI integration in university courses. Data was collected from students enrolled in two engineering courses during the Academic Year 2023–24. The analysis focused on the Big Five personality traits and various AI perception dimensions. Considering different levels of multivariate regression analysis, we identified key personality traits influencing students’ attitudes towards AI. The findings suggest that tailoring AI integration to students’ personality profiles can enhance engagement and learning outcomes. Future research should explore additional factors, such as age and attitudes towards technical roles, to further refine educational strategies

    L'intelligenza artificiale nell'interazione uomo - macchina: idem, un gestore on-line di valori di default

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    Report interno Dip. di Elettronica ed Informazione (94-052), Politecnico di Milano, Italia
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