Engineering design (ED) is the process of solving technical problems within requirements and constraints to create new artifacts. Data science (DS) is the inter-disciplinary field that …
The advances in the internet technology, internet of things, cloud computing, big data, and artificial intelligence have profoundly impacted manufacturing. The volume of data collected …
Abstract Data-driven design (D 3), a new design paradigm benefited from advanced data analytics and computational intelligence, has gradually promoted the research of data …
The demand for ubiquitous information processing over the Web has called for the development of context-aware recommender systems capable of dealing with the problems …
KY Chan, CK Kwong, P Wongthongtham… - … Journal of Computer …, 2020 - Taylor & Francis
Customer satisfaction in purchasing new products is an important issue that needs to be addressed in today's competitive markets. A product with good affective design excites …
E Gruhier, F Demoly, O Dutartre, S Abboudi… - Advanced Engineering …, 2015 - Elsevier
This paper introduces the development of a formal ontology based on spatiotemporal mereotopology in the context of integrated assembly design and sequence planning. The …
W Li, D Wang, T Chai - IEEE Transactions on Industrial …, 2012 - ieeexplore.ieee.org
Accurate and robust recognition of burning state for sintering process of rotary kiln plays an important role in the design of image-based intelligent control systems. Existing approaches …
HQ Chen, T Honda, MC Yang - Journal of …, 2013 - asmedigitalcollection.asme.org
This paper investigates ways to obtain consumer preferences for technology products to help designers identify the key attributes that contribute to a product's market success. A …
A Kusiak, X Wei - Annals of Operations Research, 2014 - Springer
A prediction model for methane production in a wastewater processing facility is presented. The model is built by data-mining algorithms based on industrial data collected on a daily …