Using fuzzy logic to handle the semantic descriptions of music in a content-based retrieval system

This paper explores the potential use of fuzzy logic for semantic music recommendation. We show that a set of affective/emotive, structural and kinaesthetic descriptors can be used to formulate a query which allows the retrieval of intended music. A semantic music recommendation system was built, based on an elaborate study of potential users and an analysis of the semantic descriptors that best characterize the user’s understanding of music. Significant relationships between expressive and structural semantic descriptions of music were found. Fuzzy logic was then applied to handle the quality ratings associated with the semantic descriptions. A working semantic music recommendation system was tested and evaluated. Real-world testing revealed high user satisfaction

The Painlev\'e methods

This short review is an introduction to a great variety of methods, the collection of which is called the Painlev\'e analysis, intended at producing all kinds of exact (as opposed to perturbative) results on nonlinear equations, whether ordinary, partial, or discrete.Comment: LaTex 2e, subject index, Nonlinear integrable systems: classical and quantum, ed. A. Kundu, Special issue, Proceedings of Indian Science Academy,

Fully coupled simulations of monodisperse and bidisperse suspensions in a linear shear flow

The dynamics of macroscopically homogenous sheared suspensions of neutrally buoyant, non-Brownian spheres is investigated in the limit of very small Reynolds and Stokes numbers using the Force Coupling Model (Lomholt & Maxey1). In this numerical approach, the velocity disturbance is obtained by a low order multipole expansion (particle forcing on the flow is represented by monopole and dipole terms spread on a finite volume envelop related to particle radius)

Working Paper 11-03 - The AGIR project: Ageing, Health and Retirement in Europe - Use of health care and nursing care by the elderly: Data for Belgium

This Working Paper reflects the contribution of the fpb to the second work package of the agir project, work package organized by the German diw. It collects in a first attempt a lot of data to approach the volume and evolution of the use of health and nursing care by the elderly. Yet the authors are well aware of the limitations of the present study which can certainly be improved by more detailed data and refinement of the concepts.

The impact of innovation activities on productivity and firm growth: evidence from Brazil

Using micro data from Brazilian manufacturing firms, this paper investigates the impact of a wide set of innovation activities on firms' total factor productivity (TFP) and its subsequent effect on firm growth, measured by sales. Controlling for size and age of the firms, productivity levels and productivity growth of firms over time are found to be key drivers of firm size adjustments. The activities leading to higher productivity levels are organizational change, cooperation with clients, human capital development, ICT usage, product innovation and learning by exporting, with an R&D effect only in the long run. Though the intensity with which firms engage in these innovation activities is sector dependent, innovation activities are in all sectors important for explaining sales growth differences, also in the more traditional sectors in which Brazilian firms have a competitive advantage.Technological Change, Research and Development, Innovation, Productivity, Manufacturing Industry, Total Factor Productivity, Brazil

Conditional stability of particle alignment in finite-Reynolds-number channel flow

Finite-size neutrally buoyant particles in a channel flow are known to accumulate at specific equilibrium positions or spots in the channel cross-section if the flow inertia is finite at the particle scale. Experiments in different conduit geometries have shown that while reaching equilibrium locations, particles tend also to align regularly in the streamwise direction. In this paper, the Force Coupling Method was used to numerically investigate the inertia-induced particle alignment, using square channel geometry. The method was first shown to be suitable to capture the quasi-steady lift force that leads to particle cross-streamline migration in channel flow. Then the particle alignment in the flow direction was investigated by calculating the particle relative trajectories as a function of flow inertia and of the ratio between the particle size and channel hydraulic diameter. The flow streamlines were examined around the freely rotating particles at equilibrium, revealing stable small-scale vortices between aligned particles. The streamwise inter-particle spacing between aligned particles at equilibrium was calculated and compared to available experimental data in square channel flow (Gao {\it et al.} Microfluidics and Nanofluidics {\bf 21}, 154 (2017)). The new result highlighted by our numerical simulations is that the inter-particle spacing is unconditionally stable only for a limited number of aligned particles in a single train, the threshold number being dependent on the confinement (particle-to-channel size ratio) and on the Reynolds number. For instance, when the particle Reynolds number is $\approx1$ and the particle-to-channel height size ratio is $\approx0.1$, the maximum number of stable aligned particles per train is equal to 3. This agrees with statistics realized on the experiments of (Gao {\it et al.} Microfluidics and Nanofluidics {\bf 21}, 154 (2017)).Comment: 13 pages, 13 figure