Search results for " Intelligent"
showing 10 items of 64 documents
Food memory and its relation with age and liking: An incidental learning experiment with children, young and elderly people
2008
International audience; The present study compared incidental learning and food memory in children, young adults and elderly people for three sensory modalities (taste, texture and aroma). The relation of gender and liker-status (i.e. how much we like a product) with food memory was also investigated. Participants received a complete meal including a custard dessert used as target under incidental learning conditions. 24 h later, participants were confronted with a series of samples consisting of the target and slightly modified versions of the target (distractors) and were unexpectedly asked to perform an ‘‘absolute memory’’ (‘‘Did you eat this sample yesterday?’’) and a ‘‘relative memory’…
Effect of sensory education on willingness to taste novel food in children.
2008
International audience; As part of 'EduSens', a project aiming to measure the effect of a sensory education program developed in France on the food behaviour of school children, the present paper shows the results regarding neophobia. One hundred and eighty children (8-10 years old) were involved in the study. Half of them (experimental group) were educated during school-time with the 12 sessions of taste lessons "Les classes du go?by J. Puisais. The others served as a control group. Food neophobia was evaluated before and after the education period of the experimental group and once again 10 months later. An adapted food neophobia scale was used (AFNS) and the willingness to taste novel fo…
Fast Nash Hybridized Evolutionary Algorithms for Single and Multi-objective Design Optimization in Engineering
2014
Evolutionary Algorithms (EAs) are one of advanced intelligent systems and they occupied an important position in the class of optimizers for solving single-objective/reverse/inverse design and multi-objective/multi physics design problems in engineering. The chapter hybridizes the Genetic Algorithms (GAs) based computational intelligent system (CIS) with the concept of Nash-Equilibrium as an optimization pre-conditioner to accelerate the optimization procedure. Hybridized GAs and simple GAs are validated through solving five complex single-objective and multi-objective mathematical design problems. For real-world design problems, the hybridized GAs (Hybrid Intelligent System) and the origin…
A holistic approach to design for 4D Printing
2019
Invented in 1983, as a rapid prototyping process, additive manufacturing (AM) is nowadays considered as a manufacturing process almost in the same way as conventional processes. For example, parts obtained by AM are found in aircraft structures. This AM evolution is mainly due to the shape complexity allowed by the process. The driving forces behind this evolution include: the development of various techniques on the layer-wise manufacturing principle and the improvement both in quantity and quality of the range of materials that can be processed. Many other AM techniques and materials continue to emerge. In the wake of the AM (usually referred to as 3D printing) another mode of manufacturi…
Smart cities: Case studies
2016
Il capitolo mostra alcuni esempi di smart cities. Nel capitolo i casi di studio sono divisi in aree geografiche, che a livello macroscopico si riferiscono a diversi tipi di città e comunità in relazione a diversi livelli di innovazione tecnologica e tipo di capitale umano, che sono fattori chiave per raggiungere uno sviluppo smart. Le città di nuova costruzione sono città appartenenti all'area asiatica pianificate da zero per limitare emissioni nocive ed alzare la qualità della vita dei cittadini. Nel paragrafo sulle città del Nord Europa e quelle del Mediterraneo sono descritte città che possiedono alte caratteristiche storiche. Talvolta queste hanno poche possibilità - per le loro caratte…
Proactive design and formalization of related spatiotemporal knowledge : application to assembly process and additive manufacturing with smart materi…
2019
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Intégration proactive des métiers en conception et formalisation des connaissances spatio-temporelles associées : application à l'assemblage et à la …
2019
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Fuzzy Control Strategy for Cooperative Non-holonomic Motion of Cybercars with Passengers Vibration Analysis
2021
The cybercars are electric road wheeled non-holonomic vehicles with fully automated driving capabilities. They contribute to sustainable mobility and are employed as passenger vehicles. Non-holonomic mechanics describes the motion of the cybercar constrained by non-integrable constraints, i.e. constraints on the system velocities that do not arise from constraints on the configuration alone. First of all there are thus with dynamic nonholonomic constraints, i.e. constraints preserved by the basic Euler-Lagrange equations (Bloch, 2000; Melluso, 2007; Raimondi & Melluso, 2006-a). Of course, these constraints are not externally imposed on the system but rather are consequences of the equations…
Predictive Intelligent Fuzzy Control for Cooperative Motion of Two Nonholonomic Wheeled Cars
2007
In this paper a problem of intelligent cooperative motion control of two wheeled nonholonomic cars (target and follower) is considered. Once a target car converges to a fixed state (position and orientation), a follower car coming from different position and orientation, converges to the state above, without excessive delay between the known arrival time of the target car and the arrival time of the follower. In this sense we present a new predictive fuzzy control system. A Kalman's filter and an odometric model are used to predict the future position and orientation of the target car. The prediction above is employed to plane a circular nonholonomic reference motion for the follower car. A…
Pattern-Recognition: a Foundational Approach
2015
This paper aims at giving a contribution to the ongoing attempt to turn the theory of pattern-recognition into a rigorous science. In this article we address two problems which lie at the foundations of pattern-recognition theory: (i) What is a pattern? and (ii) How do we come to know patterns? In so doing much attention will be paid to tracing a non-arbitrary connection between (i) and (ii), a connection which will be ultimately based on considerations relating to Darwin’s theory of evolution.