• Proceedings of the Korea Technology Innovation Society Conference
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• 2004.05a
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• pp.285-309
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• 2004

Sophia Antipolis was planned to be developed as an innovative technopole in the southern french area near Nice, a tourist destination. from an area with very little scientific activities, it was created as a vibrant city with science and industrial and cultural activities begining from the early 1960s. A dedicated university professor, who became a politician later, Pirre Laffite, organized non governmental institutions and professional associations to designate an area with 2300 ha and planned it for environmentally clean technopole. Sophia Antipolis eventually bacame the most well known technopole in Europe, hosting 1,200 companies with 24,000 employees. In this context, this paper analyses the process of building Sophia Antipolis and the operational mechanisms of the technopole, based on the data gathered from interviews with managers of the companies and supporting institutions of Sophia Antipolis.

• Proceedings of the Korea Water Resources Association Conference
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• 2005.09a
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• pp.88-90
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• 2005

• Journal of the Economic Geographical Society of Korea
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• v.23 no.1
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• pp.110-123
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• 2020

The advanced industrial economies have been suffering from rapid de-industrialization since the 1970s. In order to overcome such crisis, many countries have attempted to establish science parks and technopoles. Sophia Antipolis in France is one of the best examples of the worldly known technopoles, which was launched in the late 1960s. However, earlier evaluations on the technopole were not positive, while there were no dynamic innovative activities among institutions and firms of the technopole at least up to the early 1990s. While some changes in such circumstance have been observed since then, this paper attempts to investigate the changes and transformations occurring from the technopole since the late 1990s. Based on the review of the recent publications, statistics and expert interviews, the current paper concludes that Sophia Antipolis has been transformed into a dynamic and innovative technopole.

• Proceedings of the Korea Water Resources Association Conference
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• 2005.09b
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• pp.1417-1418
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• 2005

• Journal of Computational Design and Engineering
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• v.3 no.3
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• pp.215-225
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• 2016

In recent years, the automotive industry has known a remarkable development in order to satisfy the customer requirements. In this paper, we will study one of the components of the automotive which is the twist beam. The study is focused on the multicriteria design of the automotive twist beam undergoing linear elastic deformation (Hooke's law). Indeed, for the design of this automotive part, there are some criteria to be considered as the rigidity (stiffness) and the resistance to fatigue. Those two criteria are known to be conflicting, therefore, our aim is to identify the Pareto front of this problem. To do this, we used a Normal Boundary Intersection (NBI) algorithm coupling with a radial basis function (RBF) metamodel in order to reduce the high calculation time needed for solving the multicriteria design problem. Otherwise, we used the free form deformation (FFD) technique for the generation of the 3D shapes of the automotive part studied during the optimization process.

• Journal of Computational Design and Engineering
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• v.2 no.3
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• pp.165-175
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• 2015

One of the current challenges in the domain of the multicriteria shape optimization is to reduce the calculation time required by conventional methods. The high computational cost is due to the high number of simulation or function calls required by these methods. Recently, several studies have been led to overcome this problem by integrating a metamodel in the overall optimization loop. In this paper, we perform a coupling between the Normal Boundary Intersection - NBI - algorithm with Radial Basis Function - RBF - metamodel in order to have a simple tool with a reasonable calculation time to solve multicriteria optimization problems. First, we apply our approach to academic test cases. Then, we validate our method against an industrial case, namely, shape optimization of the bottom of an aerosol can undergoing nonlinear elasto-plastic deformation. Then, in order to select solutions among the Pareto efficient ones, we use the same surrogate approach to implement a method to compute Nash and Kalai-Smorodinsky equilibria.

• Journal of Computational Design and Engineering
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• v.1 no.3
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• pp.187-193
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• 2014

One of the hottest challenges in automotive industry is related to weight reduction in sheet metal forming processes, in order to produce a high quality metal part with minimal material cost. Stamping is the most widely used sheet metal forming process; but its implementation comes with several fabrication flaws such as springback and failure. A global and simple approach to circumvent these unwanted process drawbacks consists in optimizing the initial blank shape with innovative methods. The aim of this paper is to introduce an efficient methodology to deal with complex, computationally expensive multicriteria optimization problems. Our approach is based on the combination of methods to capture the Pareto Front, approximate criteria (to save computational costs) and global optimizers. To illustrate the efficiency, we consider the stamping of an industrial workpiece as test-case. Our approach is applied to the springback and failure criteria. To optimize these two criteria, a global optimization algorithm was chosen. It is the Simulated Annealing algorithm hybridized with the Simultaneous Perturbation Stochastic Approximation in order to gain in time and in precision. The multicriteria problems amounts to the capture of the Pareto Front associated to the two criteria. Normal Boundary Intersection and Normalized Normal Constraint Method are considered for generating a set of Pareto-optimal solutions with the characteristic of uniform distribution of front points. The computational results are compared to those obtained with the well-known Non-dominated Sorting Genetic Algorithm II. The results show that our proposed approach is efficient to deal with the multicriteria shape optimization of highly non-linear mechanical systems.

• Restorative Dentistry and Endodontics
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• v.44 no.1
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• pp.1.1-1.12
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• 2019

Objectives: The aim of this in vitro study was to test the effect of 2 finishing-polishing sequences (QB, combining a 12/15-fluted finishing bur and an EVO-Light polisher; QWB, adding a 30-fluted polishing bur after the 12/15-fluted finishing bur used in the QB sequence) on 5 nanotech-based resin composites (Filtek Z500, Ceram X Mono, Ceram X Duo, Tetric Evoceram, and Tetric Evoceram Bulk Fill) by comparing their final surface roughness and hardness values to those of a Mylar strip control group (MS). Materials and Methods: Twelve specimens of each nanocomposite were prepared in Teflon moulds. The surface of each resin composite was finished with QB (5 samples), QWB (5 samples), or MS (2 samples), and then evaluated (60 samples). Roughness was analysed with an optical profilometer, microhardness was tested with a Vickers indenter, and the surfaces were examined by optical and scanning electron microscopy. Data were analysed using the Kruskal-Wallis test (p < 0.05) followed by the Dunn test. Results: For the hardness and roughness of nanocomposite resin, the QWB sequence was significantly more effective than QB (p < 0.05). The Filtek Z500 showed significantly harder surfaces regardless of the finishing-polishing sequence (p < 0.05). Conclusions: QWB yielded the best values of surface roughness and hardness. The hardness and roughness of the 5 nanocomposites presented less significant differences when QWB was used.

• Journal of Korean Society of Rural Planning
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• v.11 no.4 s.29
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• pp.17-24
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• 2005

The sustainable development of local communities is faced with limitation due to poor infrastructure and lack of cooperation among stake-holders. To overcome such circumstances and thus to ensure balanced development of the local communities, the central government is driving construction of innovative cities mainly through transfer of public institutions to local cities. In this study, to contribute to the development of plans for the future agropolis' associated with the transfer of public institutions, efficient organization mechanisms of the agropolis such as basic structure and spatial allocation was examined through analyses of advanced cases(Sophia Antipolis, St. Hyacinthe Science Part Food Valley, Stoneleigh Park) of foreign countries. The analyses showed that the organization of agropolis were consisted of three main components; 1) agricultural and food industry complex conducting R&D, 2) service facilities(information, trade, consulting and advertisement) supporting agricultural and food industries and rural enterprise center in charge of a variety of events including exhibition, rural experience, education, and contest, 3) silver facilities such as hospital and town providing medical service and residence. Based on the results, inventories of facilities which are necessary in 'the future agropolis' and their spatial allocation were suggested.

• Proceedings of the Korean Institute of Communication Sciences Conference
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• 2006.07a
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• pp.203-203
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• 2006