Search results for "decision support"
showing 10 items of 377 documents
Développement d’un outil d’aide à la décision pour la gestion intégrée des adventices
2016
Integrated weed management consists in using several weed management techniques in a long-term approach. The vast number of techniques precludes cropping systems from being easily conceived and climatic interactions render the systems difficult to pursue. Farmers and farm advisors need decision support systems (DSS) to develop weed management strategies adapted to multicriteria/multiobjectives of weed management, to the economic, social and environmental stakes and to the constraints of farmers. Such a DSS is developed from the mechanistic weed dynamic model FLORSYS. This model is a “virtual field” allowing the evaluation of the performance of agricultural systems over a large range of agri…
Study and modelling of the impacts of agricultural practices on the abundance of soil microbial communities: dynamics at the landscape scale
2022
Soil Microbial communities play a major role in soil fertility and are important as bioindicators to evaluate the impacts of agricultural practices on soils. The challenge is to promote their use in order to support / accelerate innovation in the agricultural sector. The goal of this thesis was to characterize spatial and temporal dynamics of soil microbialcommunities at the scale of an agricultural landscape in order to create models and propose a Decision Support Instrument (DSI) for stakeholders in the agricultural communities. For this, a multi-disciplinary approach was used combining microbial ecology, environment assessment, spatial computer modeling, associated to a participatory app…
Identification and diagnosis of patients with familial chylomicronaemia syndrome (FCS): Expert panel recommendations and proposal of an "FCS score".
2018
Familial chylomicronaemia syndrome (FCS) is a rare, inherited disorder characterised by impaired clearance of triglyceride (TG)-rich lipoproteins from plasma, leading to severe hypertriglyceridaemia (HTG) and a markedly increased risk of acute pancreatitis. It is due to the lack of lipoprotein lipase (LPL) function, resulting from recessive loss of function mutations in the genes coding LPL or its modulators. A large overlap in the phenotype between FCS and multifactorial chylomicronaemia syndrome (MCS) contributes to the inconsistency in how patients are diagnosed and managed worldwide, whereas the incidence of acute hypertriglyceridaemic pancreatitis is more frequent in FCS. A panel of Eu…
A planning support system for assessing strategies of local urban planning agencies
2008
Here we present our research project, which aims to develop a new kind of planning support system (PSS). The PSS aims to analyse the urban planning process. An important part of the construction of the PSS is the development of a multi-agent simulation model of the urban planning process; the model will be based on the comparison of the planning systems of France, England and the Netherlands.
Conception of a territorial observation and prospective tool for energy. The case of fuelwood.
2008
International audience; Decentralized energy planning has been emerged in France since the last three decades especially due to the development of renewable energies. One corollary is the increase of local actors' role in energy and land planning. In order to help them carrying out efficient policies, decision support systems (DSS) have been developed. In this paper, the authors deal with a DSS applied to fuelwood sector.
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…
SmartCrowding™ : Bruk av SmartCrowding™ i komplekse situasjoner ved Stavanger Universitetssykehus
2019
Masteroppgave helse- og sosialinformatikk HSI500 - Universitetet i Agder 2019 Background: Over the past years, over-filled hospital wards, critical and complex situations has created an increased amount of difficulties in Norwegian hospitals. This is also true for Stavanger University Hospital. In order to better tradethese challenging situations, Stavanger University Hospital decided to implement «plan for høy aktivitet»(«plan for high activity»), and «Smartcrowding™» as Multi Criteria Decision Analyses Software. The intended purpose of these tools is to ensure a higher level of patient safety, as well as to generate a common understandingof the activity level at Stavanger University Hospi…
Repeatability Study on a Classifier for Gastric Cancer Detection from Breath Sensor Data
2019
The SNIFFPHONE device is a portable multichannel gas sensor, aiming to detect gastric cancer (GC) from breath samples. It employs gold nanoparticle (GNP) sensors reacting to volatile organic compounds (VOCs) in the exhaled breath, a non-invasive technique to support early diagnosis. This study evaluates the repeatability of the SNIFFPHONE classification result for measurements conducted on healthy subjects over a short period of time of less than 10 minutes. Due to the portable nature of the device, repeatability is studied with respect to varying measurement location. We find the classification results repeatable with a statistically significant 81 % Pearson correlation coefficient, even t…
Big Data Metadata Management in Smart Grids
2014
Smart home, smart grids, smart museum, smart cities, etc. are making the vision for living in smart environments come true. These smart environments are built based upon the Internet of Things paradigm where many devices and applications are involved. In these environments, data are collected from various sources in diverse formats. The data are then processed by different intelligent systems with the purpose of providing efficient system planning, power delivery, and customer operations. Even though there are known technologies for most of these smart environments, putting them together to make intelligent and context-aware systems is not an easy task. The reason is that there are semantic…
Deep Learning for Resource-Limited Devices
2020
In recent years, deep neural networks have revolutionized the development of intelligent systems and applications in many areas. Despite their numerous advantages and potentials, these intelligent models still suffer from several issues. Among them, the fact that they became very complex with millions of parameters. That is, requiring more resources and time, and being unsuitable for small restricted devices. To contribute in this direction, this paper presents (1) some state-of-the-art lightweight architectures that were specifically designed for small-sized devices, and (2) some recent solutions that have been proposed to optimize/compress classical deep neural networks to allow their dep…