Open Science Research Excellence

Open Science Index

Commenced in January 2007 Frequency: Monthly Edition: International Publications Count: 29705


Select areas to restrict search in scientific publication database:
10008272
Method of Cluster Based Cross-Domain Knowledge Acquisition for Biologically Inspired Design
Abstract:
Biologically inspired design inspires inventions and new technologies in the field of engineering by mimicking functions, principles, and structures in the biological domain. To deal with the obstacles of cross-domain knowledge acquisition in the existing biologically inspired design process, functional semantic clustering based on functional feature semantic correlation and environmental constraint clustering composition based on environmental characteristic constraining adaptability are proposed. A knowledge cell clustering algorithm and the corresponding prototype system is developed. Finally, the effectiveness of the method is verified by the visual prosthetic device design.
Digital Object Identifier (DOI):

References:

[1] Nagel J. K. Systematic design of biologically-inspired engineering solutions (J). Dissertations & Theses - Gradworks, 2010.
[2] Wang Q, Gossweiler G R, Craig S L, et al. Cephalopod-inspired design of electro-mechano-chemically responsive elastomers for on-demand fluorescent patterning(J). Nature Communications, 2014, 5:4899.
[3] Bionics Ants. A project of Festo AG & Co. KG Corporate Design Ostfildern Germany (DB/OL). 2015, available from: www.festo.com/bionic.
[4] Zhang, D.Q., Chen, S., Pan, Z.S, et al. Kernel based fuzzy clustering incorporating spatial constraints for image segmentation(C). Machine Learning and Cybernetics. 2003 International Conference on. IEEE. 2003, 4: 2189-2192.
[5] Tinsley A, Midha P, Nagel R, et al. Exploring the use of functional models as a foundation for biomimetic conceptual design (J). American Society of Mechanical Engineers, 2007:79-92.
[6] AskNature, A project of the Biomimicry Institute (DB/OL). 2008-2016, available from: http://asknature.org.
[7] Chakrabarti, A. Supporting Analogical Transfer in Biologically Inspired Design (J). Biologically Inspired Design, 2014:201-220.
[8] Haberland M, Kim S. On extracting design principles from biology: I. Method-General answers to high-level design questions for bioinspired robots (J). Bioinspiration & Biomimetics, 2015, 10(1):016010.
[9] Goel A K, Vattam S, Wiltgen B, et al. Information-processing theories of biologically inspired design (M) //Biologically Inspired Design. Springer London, 2014: 127-152.
[10] Ma J, Hu J, Feng J F, et al. Constrained FBS knowledge cell model, representation, and applications for conceptual design (J). Archive Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science 1989-1996 (vols 203-210), 2015, 230(11).
[11] Couzin-Frankel J. Second chapter (J). Science, 2016, 353(6303):983.
[12] Normann R A, Maynard E M, Rousche P J, et al. A neural interface for a cortical vision prosthesis (J). Vision Research, 1999, 39(15):2577-2587.
[13] Li M, Yan Y, Wu K, et al. Penetrative Optic Nerve-Based Visual Prosthesis Research(M)//Artificial Vision. Springer International Publishing, 2017: 165-176.
Vol:13 No:06 2019Vol:13 No:05 2019Vol:13 No:04 2019Vol:13 No:03 2019Vol:13 No:02 2019Vol:13 No:01 2019
Vol:12 No:12 2018Vol:12 No:11 2018Vol:12 No:10 2018Vol:12 No:09 2018Vol:12 No:08 2018Vol:12 No:07 2018Vol:12 No:06 2018Vol:12 No:05 2018Vol:12 No:04 2018Vol:12 No:03 2018Vol:12 No:02 2018Vol:12 No:01 2018
Vol:11 No:12 2017Vol:11 No:11 2017Vol:11 No:10 2017Vol:11 No:09 2017Vol:11 No:08 2017Vol:11 No:07 2017Vol:11 No:06 2017Vol:11 No:05 2017Vol:11 No:04 2017Vol:11 No:03 2017Vol:11 No:02 2017Vol:11 No:01 2017
Vol:10 No:12 2016Vol:10 No:11 2016Vol:10 No:10 2016Vol:10 No:09 2016Vol:10 No:08 2016Vol:10 No:07 2016Vol:10 No:06 2016Vol:10 No:05 2016Vol:10 No:04 2016Vol:10 No:03 2016Vol:10 No:02 2016Vol:10 No:01 2016
Vol:9 No:12 2015Vol:9 No:11 2015Vol:9 No:10 2015Vol:9 No:09 2015Vol:9 No:08 2015Vol:9 No:07 2015Vol:9 No:06 2015Vol:9 No:05 2015Vol:9 No:04 2015Vol:9 No:03 2015Vol:9 No:02 2015Vol:9 No:01 2015
Vol:8 No:12 2014Vol:8 No:11 2014Vol:8 No:10 2014Vol:8 No:09 2014Vol:8 No:08 2014Vol:8 No:07 2014Vol:8 No:06 2014Vol:8 No:05 2014Vol:8 No:04 2014Vol:8 No:03 2014Vol:8 No:02 2014Vol:8 No:01 2014
Vol:7 No:12 2013Vol:7 No:11 2013Vol:7 No:10 2013Vol:7 No:09 2013Vol:7 No:08 2013Vol:7 No:07 2013Vol:7 No:06 2013Vol:7 No:05 2013Vol:7 No:04 2013Vol:7 No:03 2013Vol:7 No:02 2013Vol:7 No:01 2013
Vol:6 No:12 2012Vol:6 No:11 2012Vol:6 No:10 2012Vol:6 No:09 2012Vol:6 No:08 2012Vol:6 No:07 2012Vol:6 No:06 2012Vol:6 No:05 2012Vol:6 No:04 2012Vol:6 No:03 2012Vol:6 No:02 2012Vol:6 No:01 2012
Vol:5 No:12 2011Vol:5 No:11 2011Vol:5 No:10 2011Vol:5 No:09 2011Vol:5 No:08 2011Vol:5 No:07 2011Vol:5 No:06 2011Vol:5 No:05 2011Vol:5 No:04 2011Vol:5 No:03 2011Vol:5 No:02 2011Vol:5 No:01 2011
Vol:4 No:12 2010Vol:4 No:11 2010Vol:4 No:10 2010Vol:4 No:09 2010Vol:4 No:08 2010Vol:4 No:07 2010Vol:4 No:06 2010Vol:4 No:05 2010Vol:4 No:04 2010Vol:4 No:03 2010Vol:4 No:02 2010Vol:4 No:01 2010
Vol:3 No:12 2009Vol:3 No:11 2009Vol:3 No:10 2009Vol:3 No:09 2009Vol:3 No:08 2009Vol:3 No:07 2009Vol:3 No:06 2009Vol:3 No:05 2009Vol:3 No:04 2009Vol:3 No:03 2009Vol:3 No:02 2009Vol:3 No:01 2009
Vol:2 No:12 2008Vol:2 No:11 2008Vol:2 No:10 2008Vol:2 No:09 2008Vol:2 No:08 2008Vol:2 No:07 2008Vol:2 No:06 2008Vol:2 No:05 2008Vol:2 No:04 2008Vol:2 No:03 2008Vol:2 No:02 2008Vol:2 No:01 2008
Vol:1 No:12 2007Vol:1 No:11 2007Vol:1 No:10 2007Vol:1 No:09 2007Vol:1 No:08 2007Vol:1 No:07 2007Vol:1 No:06 2007Vol:1 No:05 2007Vol:1 No:04 2007Vol:1 No:03 2007Vol:1 No:02 2007Vol:1 No:01 2007