Growth and Development of Computer Aided Innovation: Third by Runhua Tan, Guozhong Cao, Noel Leon

By Runhua Tan, Guozhong Cao, Noel Leon

This quantity constitutes the refereed lawsuits of the 3rd IFIP WG 5.4. operating convention on desktop Aided Innovation, CAI 2009, held in Harbin, China, in August 2009. The papers take care of complicated techniques in schooling and coaching; information mining; textual content mining; semantic internet; optimization and innovation, form and topology turbines; layout automation; integration of CAI tools and instruments into engineering; innovation strategy and engineering details pipeline; innovation in collaborative networks of companies; expert digital groups in addition to engineering layout.

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Extra info for Growth and Development of Computer Aided Innovation: Third IFIP WG 5.4 Working Conference, CAI 2009, Harbin, China, August 20-21, 2009, Proceedings (IFIP ... in Information and Communication Technology)

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E. th e tr end Mo no-Bi-Poly a pplied to sy stems with shifted ch aracteristics obt ained by i ntroducing multiple copies of a g eometrical feature, each with a p roper position and o rientation; t he si mplest case is o btained by duplicating a geometrical feature by means of a mirror operation. A general expression capable to represent all the above solution strategies is: N ρ (x, y , z ) = Mi ∑∑ K i =1 j =1 ⎞ ⎛ ij ρ i ⎜⎜ [ROT ]ij ( x, y, z ) T + ( x 0 , y 0 , z 0 ) Tij ⎟⎟ ⎠ ⎝ N Mi ∑∑ K i =1 j =1 (1) ij where: • N is the overall number of conflicting mono-goal optimizations (two if a clas sical TRIZ contradiction model is adopted); • Mi is the number of “copies” of the i-th solution (step of a mono-bi-poly trend); • Kij is the weight assigned to the j-th copy of the i-th distribution of density; • [ROT]ij is the rotation applied to the j-th copy of the i-th distribution of density; • (x0, y 0, z0 )ij is th e tr anslation ap plied to th e j-th co py o f the i- th d istribution o f density.

Cao, and N. ): CAI 2009, IFIP AICT 304, pp. 27–37, 2009. © IFIP International Federation for Information Processing 2009 28 C. Adams and D. Tate information from patents. T he second section of t he paper describes t he use of pat ent design information to estimate the degree of ideality for each patent. The third section of the paper provi des a di scussion of how pat ent ori ginality measures [5], number of backward pa tent c itations made, num ber o f forward pat ent ci tations rec eived a nd t he mean forward and backward citation lag can be used as training data to classify patents into t he five levels o f i nvention u sing machine l earning t echniques.

This f unction ca n be extracted f rom t he pat ent t ext b y l isting al l SA O ph rases t hat i nclude t he door component name and then filtering out SAOs that do not include typical action verb terms. Once all actio n verbs ar e filtered b y p arsing the te xt and r emoving tex t o ther than t he f irst t erm l isted i n s ingle qu otes i t i s pos sible t o s ee t hat t he on ly door function t hat re mains i s [ 'allow', ' door', 'for i mpact', 'on door', ' by g oods'] which represents t he co mponent ‘door’ which allo ws for i mpact on door.

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