Search results for "design [electronics]"

Digital innovation & enterprise in the sharing economy: An action research agenda

2020

Abstract In this digital era, Digital Innovation & Enterprise have emerged as a possible prescription in the sharing economy. Scholars have noted that digital innovation is transforming the technological landscape, entrepreneurial practices, and the behaviours, attitudes, and beliefs of consumers across the globe. This research note serves three purposes. First, it introduces digital innovation and enterprise as a fruitful area of research in the sharing economy. Second, it extends the agenda set by Yoo, Henfridsson, and Lyytinen (2010) on “new organising logics of Digital Innovation” to propose contemporary research questions for scholarly collaboration. Third, it attempts to move forward …

Challenge of tacit knowledge in acquiring information in cognitive mimetics

2019

Intelligent technologies are rising. This is why methods for designing them are important. One approach is to study how people process information in carrying out intelligence demanding tasks and use this information in designing new technology solutions. This approach can be called cognitive mimetics. A problem in mimetics is to explicate tacit or subconscious knowledge. Here, we study a combination of thinking aloud in ship simulator driving and focus group commenting the solutions of subjects. On the ground of these early experiments, a multiple method combination seems to be the best way forward to solve problems of tacit or subconscious knowledge. peerReviewed

Knowledge formalization and recommendation in computational design synthesis for 4D printing

2022

Coined in 2013, 4D printing is considered as a promising technology that combines additive manufacturing (AM) processes and smart materials (SMs). Through this technology objects can change over time in terms of functionalities, shape, or properties under the effect of energy stimulation. Although AM processes allow shape, hierarchical, functional, and materials complexities to the 3D objects, the conjunction with SMs provides much more freedom in designing adaptive/transformative structures. Over the last decade, a growing body of research with ad hoc proofs-of-concept have been proposed at the physical level (i.e., by using different AM processes with commercial or customized 3D printers …

Il design nelle produzioni in pietra lavica dell’Etna. Processi naturali, artificiali, culturali

2018

Il testo indaga il progetto di elementi e oggetti in pietra lavica, che declina il carattere di “preziosità” di un materiale connotato da una forte identità territoriale e versatilità nell’uso. In particolare, di alcune produzioni in lava si vuole esplorare la capacità comunicativa ed evocativa rispetto al “paesaggio culturale” del Monte Etna, indicato dall’UNESCO come “uno dei più attivi vulcani iconici del mondo e uno straordinario esempio di processi geologici continui ”. Si analizzeranno alcune sperimentazioni che, pur esprimendo declinazioni del design diverse per modalità di produzione e fruizione condividono l’attenta considerazione degli originari processi di formazione del material…

Effects of Onshore and Offshore Environmental Parameters on the Leading Edge Erosion of Wind Turbine Blades: A Comparative Study

2021

Abstract The presence of rain-induced leading edge erosion of wind turbine blades (WTBs) necessitates the development of erosion models. One of the essential parameters for erosion modeling is the relative impact velocity between rain droplets and the rotating blade. Based on this parameter, the erosion damage rate of a WTB is calculated to estimate the expected leading edge lifetime. The environmental conditions that govern this parameter have site-specific variations, and thus, rain and wind loading on a turbine differ for onshore and offshore locations. In addition, there are wave loads present in the offshore environment. The present paper tries to provide guidelines for erosion modelin…

Design and manufacturing feasibility of ITER TBM Frame and Dummy TBMs

2016

Abstract The operation and test of mock-ups of tritium breeding blankets relevant for a future commercial reactor is one of the goals of the ITER machine. To accomplish this goal, mock-ups of breeding blankets, called Test Blanket Modules (TBMs), are installed in three ITER equatorial ports. Each TBM and the associated shield form a TBM-set that is mechanically attached to a steel frame called TBM Frame. A Frame and two TBM-Sets form a TBM Port Plug (TBM PP). The ITER Organization is responsible for the design and manufacture of the TBM Frames and of the Dummy TBMs that could replace the TBM-sets in case they were not available. This paper describes the recent results of the design supporti…

Review of Oakley-Brown (2011): Shakespeare and the Translation of Identity in Early Modern England

2013

Contextual and strategic knowledge in the acquisition of design expertise

2000

Abstract This study examines the acquisition of expertise in designing and developing information systems. The aim was to investigate how practical experience is related to contextual and strategic knowledge in problem-solving. Using a combination of expert–novice comparisons and longitudinal methods, professional systems analysts were compared with novices at the beginning and end of a seven month project-based course. The results show that during the course, the novices acquired a good deal of strategic competence in using domain-specific methods. Compared to the novices, the experts showed a more comprehensive and higher level of awareness of clients' contextual constraints. The study de…

Deep Learning Estimation of 10-2 and 24-2 Visual Field Metrics Based on Thickness Maps from Macula OCT.

2021

Purpose To develop deep learning (DL) systems estimating visual function from macula-centered spectral-domain (SD) OCT images. Design Evaluation of a diagnostic technology. Participants A total of 2408 10-2 visual field (VF) SD OCT pairs and 2999 24-2 VF SD OCT pairs collected from 645 healthy and glaucoma subjects (1222 eyes). Methods Deep learning models were trained on thickness maps from Spectralis macula SD OCT to estimate 10-2 and 24-2 VF mean deviation (MD) and pattern standard deviation (PSD). Individual and combined DL models were trained using thickness data from 6 layers (retinal nerve fiber layer [RNFL], ganglion cell layer [GCL], inner plexiform layer [IPL], ganglion cell-IPL […

Fostering growth patterns of SMEs through business model innovation. A tailored dynamic business modelling approach

2021

Abstract In the contemporary complex and fast-changing markets, there is persistent pressure for Small-and-Medium Enterprises (SMEs) to engage in business model innovation to promptly meet customer expectations and successfully compete for survival. In the last decade, multiple approaches to business model development and innovation have been explored. However, they have been primarily designed for large-sized companies, while SMEs display distinctive organizational attributes. Thus, SMEs require a tailored approach to design, experiment and innovate their business models, in order to frame the specific complexity of their value creation processes. This paper aims to explore how a Dynamic B…