ParisTech

About: ParisTech is a education organization based out in Paris, France. It is known for research contribution in the topics: Finite element method & Residual stress. The organization has 1888 authors who have published 1965 publications receiving 55532 citations. The organization is also known as: Paris Institute of Technology & ParisTech Développement.

Affective handshake with a humanoid robot: How do participants perceive and combine its facial and haptic expressions?

Abstract: This study presents an experiment highlighting how participants combine facial expressions and haptic feedback to perceive emotions when interacting with an expressive humanoid robot. Participants were asked to interact with the humanoid robot through a handshake behavior while looking at its facial expressions. Experimental data were examined within the information integration theory framework. Results revealed that participants combined Facial and Haptic cues additively to evaluate the Valence, Arousal, and Dominance dimensions. The relative importance of each modality was different across the emotional dimensions. Participants gave more importance to facial expressions when evaluating Valence. They gave more importance to haptic feedback when evaluating Arousal and Dominance.

Outage probability in a multi-cellular network using Alamouti scheme

Abstract: In this paper we analyze the performance of a downlink single user multi-cellular multiple inputs single output (MISO) system using the Alamouti code. We derive, for the first time, an analytical expression of the cumulative distribution function of the output signal to interference plus noise ratio (SINR) or equivalently the outage probability in flat Rayleigh fading. The system is considered interference limited. Two assumptions are considered: equal received power and unequal received power from the interfering base stations. In the first case, a closed-form expression for the outage probability is derived. In the second case, from an approximation of the interference power distribution the outage probability expression is obtained.

Evaluating the complex governance arrangements surrounding energy retrofitting programs: The case of collective ownership buildings in France

Abstract: It is generally accepted that energy retrofitting of existing buildings is a major challenge for CO 2 emission mitigation policies in most countries The obstacles are numerous with the main issues being well known although not all having clear solutions The case of collectively owned properties (COP) is probably one of the more difficult challenges The existing laws and financial assistance are not sufficient to overcome all the barriers to improving the energy use performance of COP As such, ‘actors’ coaches’ become indispensable at the local level to accompany COP wishing to undergo an energy retrofit The major outcome of the paper is the development of evaluation mechanisms of the coaching process The paper analyzes the arrangement of specific stakeholders acting at the local level as “coaches” or “facilitators” for the co-owners, their associations and their trustees, through technical and financial support The aims of this paper are: - To identify how to evaluate the effectiveness of this coaching, - To try to explain why so few buildings have been retrofit for energy conservation, - To present case studies from the Eurometropole of Strasbourg highlighting the complexities of achieving a retrofit for COP

Characterization of the fate of lipids in wastewater treatment using a comprehensive GC×GC/qMS and statistical approach

Abstract: Lipids, characterized as oils, greases, fats or long-chain fatty acids are an important organic component of municipal wastewater, their removal being the main concern in wastewater treatment. This paper reports an application of the comprehensive GC×GC/qMS for the evaluation of the lipids removal mechanism in different wastewater treatment plants in order to assess the role of different physical and biological processes over the removal mechanism. For this purpose, the content and fats profile in wastewater were analyzed and calculated. For the separation of the fatty acid methyl esters (FAMEs) enclosed on the fats, two combinations of the capillary columns coated with non-polar/polar and polar/non-polar phases were applied. The validated proposed GC×GC/qMS method presented satisfactory results in terms of repeatability (coefficient of variation lower than 15%), linearity (ranging from 0.5 to 10 μg mL−1), limit of detection (LOD) and limit of quantification (LOQ). In order to increase the consistency of the results, statistical analysis regarding the composition of the fats in both influent and effluent were performed. The results of performed experiments showed that, in the wastewater plant which contains only a physical trap, the removal mechanism is based on the adsorption of fats onto particulate matter, while in the wastewater plants which include a biological trap, the removal mechanism combines the adsorption of fats on the particulate matter in the physical trap with the biodegradation of fats with bacterial activated sludge in the biological trap. As a result, the composition of fats during the biological treatment is modified due to the β-oxidation and other microbial bioconversion processes which through an aerobic biodegradation process destroys the mono- and poly-unsaturated fatty acids and promotes the accumulation of saturated long chain fatty acids.

Detecting Aircraft With a Low-Resolution Infrared Sensor

Abstract: Existing computer simulations of aircraft infrared signature (IRS) do not account for dispersion induced by uncertainty on input data, such as aircraft aspect angles and meteorological conditions. As a result, they are of little use to estimate the detection performance of IR optronic systems; in this case, the scenario encompasses a lot of possible situations that must be indeed addressed, but cannot be singly simulated. In this paper, we focus on low-resolution infrared sensors and we propose a methodological approach for predicting simulated IRS dispersion of poorly known aircraft and performing aircraft detection on the resulting set of low-resolution infrared images. It is based on a sensitivity analysis, which identifies inputs that have negligible influence on the computed IRS and can be set at a constant value, on a quasi-Monte Carlo survey of the code output dispersion, and on a new detection test taking advantage of level sets estimation. This method is illustrated in a typical scenario, i.e., a daylight air-to-ground full-frontal attack by a generic combat aircraft flying at low altitude, over a database of 90 000 simulated aircraft images. Assuming a white noise or a fractional Brownian background model, detection performances are very promising.