RDF(S) and SPARQL Expressiveness in Engineering Design Patterns

Author(s):  
Hacene Cherfi ◽  
Olivier Corby ◽  
Cyril Masia-Tissot
Author(s):  
Swaroop S. Vattam ◽  
Michael Helms ◽  
Ashok K. Goel

Biologically inspired engineering design is an approach to design that espouses the adaptation of functions and mechanisms in biological sciences to solve engineering design problems. We have conducted an in situ study of designers engaged in biologically inspired design. Based on this study we develop here a macrocognitive information-processing model of biologically inspired design. We also compare and contrast the model with other information-processing models of analogical design such as TRIZ, case-based design, and design patterns.


2014 ◽  
Vol 1 (2) ◽  
pp. 151-186 ◽  
Author(s):  
Paulo Blikstein

Learning analytics and educational data mining are introducing a number of new techniques and frameworks for studying learning. The scalability and complexity of these novel techniques has afforded new ways for enacting education research and has helped scholars gain new insights into human cognition and learning. Nonetheless, there remain some domains for which pure computational analysis is currently infeasible. One such area, which is particularly important today, is open-ended, hands-on, engineering design tasks. These open-ended tasks are becoming increasingly prevalent in both K–12 and post-secondary learning institutions, as educators are adopting this approach in order to teach students real-world science and engineering skills (e.g., the “Maker Movement”). This paper highlights findings from a combined human–computer analysis of students as they complete a short engineering design task. The study uncovers novel insights and serves to advance the field’s understanding of engineering design patterns. More specifically, this paper uses machine learning on hand-coded video data to identify general patterns in engineering design and develop a fine-grained representation of how experience relates to engineering practices. Finally, the paper concludes with ideas on how the specific findings from this study can be used to improve engineering education and the nascent field of “making” and digital fabrication in education. We also discuss how human–computer collaborative analyses can grow the learning analytics community and make learning analytics more central to education research.


Author(s):  
Y. P. Khanal ◽  
R. O. Buchal

Psychological inertia, biases and incomplete knowledge can lead engineering designers to choose a sub-optima design. The use of design patterns can help engineering designers find better solutions. Design patterns are recurring/reusable design solutions that are known to work in a particular design situation or a context. Patterns represent both recurring problems and recurring solutions together with their relationships. A design pattern language is a collection of related design patterns covering a particular design domain. This paper describes an object-oriented framework and methodology for the construction and use of pattern languages for the design of technical systems. Key words: Engineering design patterns; Engineering design pattern language; Engineering design; object-orientation.


Author(s):  
Michael T. Postek

The term ultimate resolution or resolving power is the very best performance that can be obtained from a scanning electron microscope (SEM) given the optimum instrumental conditions and sample. However, as it relates to SEM users, the conventional definitions of this figure are ambiguous. The numbers quoted for the resolution of an instrument are not only theoretically derived, but are also verified through the direct measurement of images on micrographs. However, the samples commonly used for this purpose are specifically optimized for the measurement of instrument resolution and are most often not typical of the sample used in practical applications.SEM RESOLUTION. Some instruments resolve better than others either due to engineering design or other reasons. There is no definitively accurate definition of how to quantify instrument resolution and its measurement in the SEM.


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