Search results for "Simplification"
showing 10 items of 34 documents
Co-développement d'un modèle d'aide à la décision pour la gestion intégrée de la flore adventice. Méta-modélisation et analyse de sensibilité d'un mo…
2018
The main threat to agricultural crops are weeds with herbicides being the primary cropping management practice. Due to the negative impact of herbicides on health and environment, their use must be reduced. To replace herbicides, numerous cropping practices need to be implemented. This makes weed management more complicated and, together with necessity of scheduling operations at long-term and the multiplicity of cropping system impacts, explains why models are so useful for designing innovative cropping systems. The aim of this thesis was to develop a Decision Support System (DSS) intended for crop advisors to help design cropping systems that are less dependent on herbicides. Our approach…
Il culto del diritto amministrativo frena la ricostruzione dell’amministrazione? Vincoli vs opportunità
2021
L’obiettivo dell’articolo è quello di esaminare i vincoli e le opportunità che possono derivare dalle attuali trasformazioni del diritto amministrativo italiano. In particolare, si formula un giudizio complessivo sugli interventi di semplificazione amministrativa e normativa, individuandone le ragioni di fondo e i profili di debolezza che li hanno caratterizzati. Successivamente si prende in considerazione la disciplina delle società a partecipazione pubblica, ripercorrendo le tappe evolutive della normativa e comparando quest’ultima con le soluzioni sperimentate in altri Paesi europei. Si fornisce poi una disamina della disciplina dei contratti pubblici, rievocando le origini dell’attuale …
Study and Comparison of Surface Roughness Measurements
2014
Journées du Groupe de Travail en Modélisation Géométrique (GTMG'14), Lyon; This survey paper focus on recent researches whose goal is to optimize treatments on 3D meshes, thanks to a study of their surface features, and more precisely their roughness and saliency. Applications like watermarking or lossy compression can benefit from a precise roughness detection, to better hide the watermarks or quantize coarsely these areas, without altering visually the shape. Despite investigations on scale dependence leading to multi-scale approaches, an accurate roughness or pattern characterization is still lacking, but challenging for those treatments. We think there is still room for investigations t…
A coarse to fine 3D acquisition system
2015
International audience; The 3D chain (acquisition-processing-compression) is , most of the time , sequenced into several steps. Such approaches result into an one-dense acquisition of 3D points. In large scope of applications , the first processing step consists in simplifying the data. In this paper , we propose a coarse to fine acquisition system which permits to obtain simplified data directly from the acquisition. By calculating some complementary information from 2D images , such as 3D normals , multiple homogeneous regions will be segmented and affected to a given primitive class. Contrary to other studies , the whole process is not based on a mesh. The obtained model is simplified di…
Attention-based Model for Evaluating the Complexity of Sentences in English Language
2020
The automation of text complexity evaluation (ATCE) is an emerging problem which has been tackled by means of different methodologies. We present an effective deep learning- based solution which leverages both Recurrent Neural and the Attention mechanism. The developed system is capable of classifying sentences written in the English language by analysing their syntactical and lexical complexity. An accurate test phase has been carried out, and the system has been compared with a baseline tool based on the Support Vector Machine. This paper represents an extension of a previous deep learning model, which allows showing the suitability of Neural Networks to evaluate sentence complexity in tw…
La semplificazione normativa e il PNRR
2023
The monograph studies the regulatory simplification policy programmed by the National Recovery and Resilience Plan, analyzing its elements of novelty compared to policies already undertaken in the country and its relevance in the context of Plan implementation. It then considers the regulatory measures being taken to implement the said policy, questioning whether genuine simplification is being achieved.
Landscape effects on crop pest biocontrol are modulated by local pesticide use
2019
International audience; Control of crop pests by their natural enemies provide a valuable but poorly quantified ecosystem service in farmland. Complex landscapes including semi-natural habitats are expected to favour natural enemies thereby enhancing natural pest biocontrol in crops. However, when considering a large number of situations, the response of natural biocontrol to landscape properties is globally inconsistent, a possible explanation being that local agricultural practices counteract landscape effects. Here, we report on survey conducted along a crossed gradient of pesticide use intensity and landscape simplification that analysed the interactive effects of landscape characterist…
A Neural Network model for the Evaluation of Text Complexity in Italian Language: a Representation Point of View
2018
Abstract The goal of a text simplification system (TS) is to create a new text suited to the characteristics of a reader, with the final goal of making it more understandable.The building of an Automatic Text Simplification System (ATS) cannot be separated from a correct evaluation of the text complexity. In fact the ATS must be capable of understanding if a text should be simplified for the target reader or not. In a previous work we have presented a model capable of classifying Italian sentences based on their complexity level. Our model is a Long Short Term Memory (LSTM) Neural Network capable of learning the features of easy-to-read and complex-to-read sentences autonomously from a anno…
A sentence based system for measuring syntax complexity using a recurrent deep neural network
2018
In this paper we present a deep neural network model capable of inducing the rules that identify the syntax complexity of an Italian sentence. Our system, beyond the ability of choosing if a sentence needs of simplification, gives a score that represent the confidence of the model during the process of decision making which could be representative of the sentence complexity. Experiments have been carried out on one public corpus created specifically for the problem of text-simplification.
Simplifying Probabilistic Expressions in Causal Inference
2018
Obtaining a non-parametric expression for an interventional distribution is one of the most fundamental tasks in causal inference. Such an expression can be obtained for an identifiable causal effect by an algorithm or by manual application of do-calculus. Often we are left with a complicated expression which can lead to biased or inefficient estimates when missing data or measurement errors are involved. We present an automatic simplification algorithm that seeks to eliminate symbolically unnecessary variables from these expressions by taking advantage of the structure of the underlying graphical model. Our method is applicable to all causal effect formulas and is readily available in the …