Search results for "Algorithm"
showing 10 items of 4887 documents
On a posteriori error bounds for approximations of the generalized Stokes problem generated by the Uzawa algorithm
2012
In this paper, we derive computable a posteriori error bounds for approximations computed by the Uzawa algorithm for the generalized Stokes problem. We show that for each Uzawa iteration both the velocity error and the pressure error are bounded from above by a constant multiplied by the L2-norm of the divergence of the velocity. The derivation of the estimates essentially uses a posteriori estimates of the functional type for the Stokes problem. peerReviewed
A Robust Multi Stage Technique for Image Binarization of Degraded Historical Documents
2017
International audience; Document image binarization is a central problem in many document analysis systems. Indeed, it represents one of the basic challenges, especially in case of historical documents analysis. In this paper, we propose a novel robust multi stage framework that combines different existing document image thresholding methods for the purpose of getting a better binarization result. CLAHE technique is introduced to significantly enhance contrast in some poor images. The proposed method then uses a hybrid algorithm to partition image into foreground and background. A special procedure is finally applied in order to remove small noise and correct characters morphology. Experime…
Towards Affective Algorithmic Composition
2013
Automated systems for the selective adjustment of emotional responses by means of musical features are driving an emerging field: affective algorithmic composition. Strategies for algorithmic composition, and the large variety of systems for computer-automation of such strategies, are well documented in literature. Re-views of computer systems for expressive performance (CSEMPs) also provide a thorough overview of the extensive work carried out in the area of expressive computer music performance, with some crossover between composition and performance systems. Although there has been a significant amount of work (largely carried out within the last decade) implementing systems for algorith…
Forest accessibility, Madonie mountains (northern Sicily, Italy): implementing a GIS decision support system
2021
Valorisation and sustainable exploitation of woody biomass from cultivation interventions might be an important opportunity to track alternative development trails for rural communities in natural protected areas. The governance of Mediterranean protected areas is characterized by overlapping, sometimes conflicting institutions, stakeholders and regulations, causing negative impacts on decision-making processes. We present an open source GIS-based decision support system tool for mapping forest accessibility and optimizing woody biomass extraction. Two models were implemented to support forest managers during the decision-making process in designing and managing wood-energy supply chains. T…
Algorithms for internal validation clustering measures in the post genomic era.
2011
Regulation issues of algorithmic administrative decisions: looking for an Italian legislative model
2020
The work aims to highlight the most relevant problematic points that should be taken into consideration by the Italian legislator in order to introduce a regulation of automated administrative decisions. After having briefly recalled the current legal framework on the digitalization of administrative acts and the main doctrinal theories on this subject, the significant positions espressed in the recent administrative case law are examined. With the intent to discuss possible regulatory measures, the main legislative and interpretative solutions developed in this regard in the French legal system are also analyzed.
A Self-powered Ambient Light Power Measurement Platform with Time-domain Readout
2021
Internet of Things (IoT) provides more and more adequate infrastructures for many applications and advanced services. This scenario promotes the ability to satisfy the growing demand for innovative measuring systems, increasingly popular consisting of intelligent nodes, totally wireless, easy to install, and that requires the least possible maintenance. In this context, this paper aims to contribute to state of the art with an energy-autonomous and battery-free measurement platform designed to measure the ambient light power when its level exceeds the sensitivity threshold. The measurement platform utilizes a single transducer to scavenge energy and concurrently measure the ambient light in…
The Automated Emotional Music Generator With Emotion and Season Features
2013
Nowadays, there are various types of automated music generating systems to automatically compose music clips instantly; however, those randomly-generated music clips still sounded uncomfortable and discordant. This paper attempts to add with emotion and season features to assist automated music generating systems based on algorithm, and then tries to make all generative music clips sound with harmonious and emotional meaning to listeners. The automated music generator used in this topic is not only based on algorithm but also adopts Thayer’s emotional model as well as four season factors, so all music clips will not only express unique music emotions but also indicate all seasons which may …
Super-Resolution Images Methodology Applied to UAV Datasets to Road Pavement Monitoring
2022
The increasingly widespread use of smartphones as real cameras on drones has allowed an ever-greater development of several algorithms to improve the image’s refinement. Although the latest generations of drone cameras let the user achieve high resolution images, the large number of pixels to be processed and the acquisitions from multiple lengths for stereo-view often fail to guarantee satisfactory results. In particular, high flight altitudes strongly impact the accuracy, and result in images which are undefined or blurry. This is not acceptable in the field of road pavement monitoring. In that case, the conventional algorithms used for the image resolution conversion, such as the bilinea…
L’algorithme de doomsday est tellement performant qu’il est valable pour toutes les dates de l'histoire.
2020
Michele Triestino, maître de conférences à l'Université de Bourgogne, est un passionné du l'algorithme de doomsday, qui donne une méthode mentale pour retrouver le jour de la semaine correspondant à une date.