Carfantan H.,Toulouse 1 University Capitole |
Idier J.,CNRS Research Institute of Communication and Cybernetics of Nantes
IEEE Transactions on Geoscience and Remote Sensing | Year: 2010
This paper introduces a new self-calibration destriping technique for pushbroom-type satellite imaging systems. Selfcalibration means that no specific training data are required. It is based on the statistical estimation of each detector gain from the observed image, assuming a linear response. Both theoretical and practical behaviors are studied. Our technique is shown to outperform simpler techniques based on column averages in terms of gain estimation precision while keeping the computational cost within admissible limits. © 2009 IEEE.
Lu W.,CNRS Research Institute of Communication and Cybernetics of Nantes |
Petiot J.-F.,CNRS Research Institute of Communication and Cybernetics of Nantes
International Journal of Industrial Ergonomics | Year: 2014
The measurement and understanding of user emotions elicited by product appearance are critical elements of the product development process. This paper proposes a new emotion measurement method, called Auditory Parameter Method. It is a non-verbal technique that uses auditory stimuli (music samples) and association tests for evaluating a set of products, given by their pictures. From user-tests, it provides an assessment of these products according to a series of emotional dimensions. We present the methodological framework used to build the links between user's emotional responses and geometrical features of the products. The method is described on an application case, an eyeglass frame. Analysis of Variance models are employed to examine how various shape factors influence users' emotional responses. To demonstrate the effectiveness of our protocol, we compare the proposed method with the conventional Semantic Differential using Principal Component Analysis and Generalized Procrustes Analysis. The new protocol demonstrates interesting qualities for collecting the intuitive emotions of users and for providing a discriminant measurement of emotions. It can also be used by designers to stimulate creativity. Relevance to industry: This study presents a methodology to the integration of emotional qualities in the design of products, which taking into account the cognitive and affective processing of users. This very innovative emotion assessment method incorporates the modality of sound, thus complementing research in the field which so far focused on the modality of sight. The design knowledge gained from this method, like the semantic mappings and the interpretation of design attributes, makes it possible to benefit the activity of the designers as a creativity support tool. © 2014 Elsevier B.V.
Shahzad A.,CNRS Research Institute of Communication and Cybernetics of Nantes |
Mebarki N.,CNRS Research Institute of Communication and Cybernetics of Nantes
Engineering Applications of Artificial Intelligence | Year: 2012
A data mining based approach to discover previously unknown priority dispatching rules for job shop scheduling problem is presented. This approach is based on seeking the knowledge that is assumed to be embedded in the efficient solutions provided by the optimization module built using tabu search. The objective is to discover the scheduling concepts using data mining and hence to obtain a set of rules capable of approximating the efficient solutions for a job shop scheduling problem (JSSP). A data mining based scheduling framework is presented and implemented for a job shop problem with maximum lateness as the scheduling objective. © 2012 Elsevier Ltd. All rights reserved.
Ibrahim O.,CNRS Research Institute of Communication and Cybernetics of Nantes |
Khalil W.,CNRS Research Institute of Communication and Cybernetics of Nantes
Mechanism and Machine Theory | Year: 2010
This paper presents recursive solutions for obtaining the inverse and direct dynamic models of hybrid robots that are constructed by serially connected non-redundant parallel modules. The proposed methods generalize the recursive Newton-Euler algorithms developed for serial robots, and use the compact form of the inverse dynamic model of parallel robots that was developed recently by the authors. The algorithms can be programmed easily whatever the number of parallel modules. © 2009 Elsevier Ltd. All rights reserved.
Traore D.,CNRS Research Institute of Communication and Cybernetics of Nantes |
De Leon J.,University of Leon |
Glumineau A.,CNRS Research Institute of Communication and Cybernetics of Nantes
Automatica | Year: 2012
In this paper, an observer-based controller scheme is designed to robustly drive a sensorless Induction Motor (IM) even for the case of low frequencies with unknown load torque. Combining the field oriented control strategy with the backstepping control method, we introduce additional integral terms to improve the robustness properties of the controller in spite of uncertainties and perturbations. The estimation of the fluxes, the speed, the load torque and moreover the stator resistance is given by an adaptive interconnected observer. The practical stability of the proposed observercontroller scheme is proved. Finally, some experimental test results are given on the framework of a specific sensorless induction motor benchmark. © 2012 Elsevier Ltd. All rights reserved.