Search results for "object"
showing 10 items of 1888 documents
Neutralité du chercheur et milieux fermés
2021
International audience
La collezione Scilla presso il Sedgwick Museum of Earth Sciences: pratiche di visualizzazione dal XVII al XXI secolo
2015
The paleontological collection of Agostino Scilla (1629-1700), now kept at the Sedgwick Museum in Cambridge, has been visually represented since 1670, year of publication of Scilla’s treaty La vana speculazione disingannata dal senso. The plates of the treaty have been repeatedly used in scientific literature, in comparison with the specimens of the collection and, more often, with other visualization techniques. The contentious taxonomic identification of one of those specimens, the olotype of Squalodon melitensis, shows how the legitimization of images was at the core of scientific debate. According to Daston & Galison, scientific images are epistemic objects related with specific epistem…
Virtudes y Fortalezas: el revés de la trama
2007
The target of this work is to carry out a critical analysis about some of the underlying epistemological assumptions in Peterson and Seligman’s book Character Strengths and Virtues. A handbook and classifications (2004). This is a theoretical investigation that belongs to the epistemology of psychology field. According to the theory proposed by Serroni Copello (2003), a critic progress rational criterion is methodologically applied. The analysis points out some epistemological weakness that leads to incongruences in the statements and conclusions of the investigations, such as: the absence of a unified theory, a candid search of objectivity, and the superposition of implicit paradigms. It …
How to find information on national food and nutrient consumption surveys across Europe: systematic literature review and questionnaires to selected …
2009
The present research was conducted within the framework of the EURopean micronutrient RECommendations Aligned project. In order to identify the best practice in assessing nutrient intakes, a search strategy for collecting data from national food consumption surveys/studies in Europe was developed. Systematic literature searches were carried out on twenty-eight European and the four European Free Trade Association countries. A questionnaire was also sent to two to five experts in each country. Systematic reviews using PubMed yielded 12 703 abstracts that were reduced to 200 studies using inclusion and exclusion criteria. Similarly, a search of ministry web sites yielded 3033 hits, and subseq…
La geografía escolar: deseos institucionales y vivencias de aula
2018
School geography embodies the attempt of political and academic institutions of systematizing geographical content knowledge: to transform geography in a learning object for the population. The purpose of this article is to highlight the existing differences and similarities in the analysis of school geography. On the one hand, we refer to the curricular framework and to the education system. On the other hand, we deal with the inherent problems of geography teaching in childhood, primary and secondary education. In these contexts, geography contents aim to convey the description of the environment to students that tend to distrust canonical academic discourse, as they consider it to be bey…
Ad-Hoc Segmentation Pipeline for Microarray Image Analysis
2006
Microarray is a new class of biotechnologies able to help biologist researches to extrapolate new knowledge from biological experiments. Image Analysis is devoted to extrapolate, process and visualize image information. For this reason it has found application also in Microarray, where it is a crucial step of this technology (e.g. segmentation). In this paper we describe MISP (Microarray Image Segmentation Pipeline), a new segmentation pipeline for Microarray Image Analysis. The pipeline uses a recent segmentation algorithm based on statistical analysis coupled with K-Means algorithm. The Spot masks produced by MISP are used to determinate spots information and quality measures. A software …
Chaotic multiagent system approach for MRF-based image segmentation
2005
In this paper, we propose a new chaotic approach for image segmentation based on multiagent system (MAS). We consider a set of segmentation agents organized around a coordinator agent. Each segmentation agent performs iterated conditional modes (ICM) starting from its own initial image created using a chaotic mapping. The coordinator agent diversifies the initial images using a crossover and a chaotic mutation operators. The efficiency of our chaotic MAS approach is shown through some experimental results.
Hidden Markov Random Fields and Direct Search Methods for Medical Image Segmentation
2016
The goal of image segmentation is to simplify the representation of an image to items meaningful and easier to analyze. Medical image segmentation is one of the fundamental problems in image processing field. It aims to provide a crucial decision support to physicians. There is no one way to perform the segmentation. There are several methods based on HMRF. Hidden Markov Random Fields (HMRF) constitute an elegant way to model the problem of segmentation. This modelling leads to the minimization of an energy function. In this paper we investigate direct search methods that are Nelder-Mead and Torczon methods to solve this optimization problem. The quality of segmentation is evaluated on grou…
A Geographical Self-Organizing Approach for Vehicular Networks
2012
Cooperative vehicular networks have always been considered as the perfect way to bring more comfort to the passengers and more safety to the human life. Thus, research community and governmental organizations are interested to study and deploy these networks. The vehicular networks principle is connecting vehicles to each other and to existing infrastructure. However, their industrialization faces some challenges: (i) high mobility, (ii) frequently partitioned network, (iii) geographically constrained topology, and (iv) scalability. Therefore, in contrast to traditional networks, vehicular network protocols focus on both achieving adequate QoS level and reducing overhead. Achieving these tw…
Automatic Detection of Hemangioma through a Cascade of Self-organizing Map Clustering and Morphological Operators
2016
Abstract In this paper we propose a method for the automatic detection of hemangioma regions, consisting of a cascade of algorithms: a Self Organizing Map (SOM) for clustering the image pixels in 25 classes (using a 5x5 output layer) followed by a morphological method of reducing the number of classes (MMRNC) to only two classes: hemangioma and non-hemangioma. We named this method SOM-MMRNC. To evaluate the performance of the proposed method we have used Fuzzy C-means (FCM) for comparison. The algorithms were tested on 33 images; for most images, the proposed method and FCM obtain similar overall scores, within one percent of each other. However, in about 18% of the cases, there is a signif…