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Cavallucci D.,Design Engineering Laboratory | Fuhlhaber S.,Time To Innovate | Riwan A.,CEA Saclay Nuclear Research Center
Procedia Engineering | Year: 2015

Adopting relevant decisions in engineering design of multidisciplinary problematic is often perceived as a critical issue in industry. This situation becomes even more critical when in inventive design context since decisions lead R&D teams towards unusual directions that, by nature, expose the company to risky investments. IDM-TRIZ is an advanced framework proposed to address the issue of representing multidisciplinary and complex situations to facilitate TRIZ use in inventive design projects. One of its tool "problem graph" has been designed to link expert knowledge representations and automatic extraction of populations of contradictions. This first step nevertheless presents a limitation; it doesn't help project leaders to properly estimate the incidences of their decisions when engaging inventive activities to solve a specific problem. This paper addresses this issue and proposes an enhanced methodological process that is handling dynamic multiple graphical representations based on computed project data's exploitation. It provides relevant proofs that, in comparison with a traditional TRIZ approach, we have significantly improved the robustness of R&D decisions. In addition, we illustrate our methodology using a case study conducted in airspace industry (helicopter assembly complexity) to present and validate our hypothesis. © 2015 The Authors. Published by Elsevier Ltd. Source


Hussain A.,Asian Institute of Technology | Abbasi A.R.,Design Engineering Laboratory | Afzulpurkar N.,Asian Institute of Technology
Human-centric Computing and Information Sciences | Year: 2012

Background: In this paper, we report on development of a non-intrusive student mental state prediction system from his (her) unintentional hand-touch-head (face) movements. Methods: Hand-touch-head (face) movement is a typical case of occlusion of otherwise easily detectable image features due to similar skin color and texture, however, in our proposed scheme, i.e., the Sobel-operated local binary pattern (SLBP) method using force field features. We code six different gestures of more than 100 human subjects, and use these codes as manual input to a three-layered Bayesian network (BN). The first layer holds mental state to gesture relationships obtained in an earlier study while the second layer embeds gesture and SLBP generated binary codes. Results: We find it very successful in separating hand (s) from face region in varying illuminating conditions. The proposed scheme when evaluated on a novel data set is found promising resulting with an accuracy of about 85%. Conclusion: The framework will be utilized for developing intelligent tutoring system. © 2012, Hussain et al.; licensee Springer. Source


Rousselot F.,Design Engineering Laboratory | Renaud J.,Design Engineering Laboratory
Procedia Engineering | Year: 2015

A few years after TRIZ appearance in highly industrialized countries, many experts in Case Based Reasoning pointed out potential similarities between both approaches. Later on, research activities have been conducted and publications appeared on this subject. This paper presents the results of an in depth study of the roots of both approaches, from the point of view of their philosophy and the scope of their relevant action. After several tests and investigations, we arrived to the point that each approach weakens the other if any of the two let the other govern its conduction. The paper discusses this claim and provides some potential directions for new research in this area. © 2015 The Authors. Published by Elsevier Ltd. Source


Houssin R.,University of Strasbourg | Renaud J.,Design Engineering Laboratory | Coulibaly A.,Design Engineering Laboratory | Cavallucci D.,Design Engineering Laboratory | Rousselot F.,Design Engineering Laboratory
International Journal on Interactive Design and Manufacturing | Year: 2015

A few years after TRIZ appearance in highly industrialized countries, many experts in Case Based Reasoning pointed out potential similarities between both approaches. Later on, research activities have been conducted and publications appeared on this subject. This paper presents the results of an in depth study of the roots of both approaches, from the point of view of their philosophy and the scope of their relevant action. After several tests and investigations, we arrived to the point that each approach weakens the other if any of the two let the other govern its conduction. The paper discusses this claim and provides some potential directions for new research in this area. © 2014, Springer-Verlag France. Source


Lin L.,Design Engineering Laboratory | De Guio R.,Design Engineering Laboratory | Dubois S.,Design Engineering Laboratory | Rasovska I.,CNRS Computer Science and Engineering Laboratory
Proceedings of the 2014 International Conference on Innovative Design and Manufacturing, ICIDM 2014 | Year: 2014

Problem solving in design is one of the main studied topic of research, and especially methods for problem solving. Generally, two kinds of methods are differentiated, those dedicated to routine design, and those focused on inventive design. The authors aim at linking the two approaches and building a continuum between both. Thus they studied the link and direct extraction of contradictions out of experiments. To do so they built a generic model of contradictions, the Generalized System of Contradictions (GSC). This paper proposes an algorithm for identifying and extracting generalized physical contradictions, a part of the GSC, from experiments. First, the authors' design methodology to build the continuum from optimization till invention is introduced. The notion of Generalized System of Contradictions is presented and the focus is made on the notion of Generalized Physical Contradiction. This one is described through Binary Integer Programming and an algorithm is proposed in order to identify and extract complete set of Generalized Technical Contradictions (GTCs) from experiments concerning the inventive problem. © 2014 IEEE. Source

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