Search results for "Information System"

showing 10 items of 2404 documents

Implementering av elektroniske legemiddelkurven på et sykehus

2014

Masteroppgave i helse- og sosialinformatikk HSI 500 Universitetet i Agder 2014 Background: This rapport is a student project as a part of the final year program for master degree in Health and social Informatics at Agder University. The implementation of electronic prescribing systems in the health sector is a priority for both the public policy and for the management of hospitals. It is expected that such systems will increase the work capacity of the employees, improve information flow and reduce medication errors. Akershus University Hospital is the only hospital in Norway that has implemented an electronic prescribing system at the ward units. But implementation is seriously delayed com…

elektronisk legemiddelkurve ; implementering ; informasjonssystemer ; motstand mot forandring ; kunnskapsmedarbeidere ; electronic prescribing systems ; implementation ; information systems ; professionals ; resistance to changeVDP::Technology: 500::Information and communication technology: 550
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Food Security Is None Of Your Business? Food Supply Chain Management In Support Of A Sustainable Food System

2017

Food security is the principal outcome of any given food system and it can be defined in terms of a sustainable food system where the core goal is to feed everyone sustainably, equitably and healthily. A sustainable food system addresses needs for availability, affordability and accessibility, is diverse, ecologically-sound and resilient, and builds the capabilities and skills necessary for future generations. This paper identifies the essential elements of food supply chain management in support of a sustainable food system, which ultimately enhances food security. The existing food supply chain and food system literature is synthesized in order to study the correspondence between public i…

elintarviketuotantoInformation Systems and ManagementSupply chain managementFood securitykestävä kehitysFood industrybusiness.industryelintarvikeketjutManagement Science and Operations ResearchFood safetyManagement Information SystemsruokaturvaFood packagingCommerceSustainable food systemsustainable food systemFood supplyfood supply chain managementFood systemsStatistics Probability and UncertaintyMarketingbusinessOperations and Supply Chain Management: An International Journal
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Balanced Large Scale Knowledge Matching Using LSH Forest

2015

Evolving Knowledge Ecosystems were proposed recently to approach the Big Data challenge, following the hypothesis that knowledge evolves in a way similar to biological systems. Therefore, the inner working of the knowledge ecosystem can be spotted from natural evolution. An evolving knowledge ecosystem consists of Knowledge Organisms, which form a representation of the knowledge, and the environment in which they reside. The environment consists of contexts, which are composed of so-called knowledge tokens. These tokens are ontological fragments extracted from information tokens, in turn, which originate from the streams of information flowing into the ecosystem. In this article we investig…

evolving knowledge ecosystemsInformation retrievalComputer sciencebusiness.industryBig data02 engineering and technologyKnowledge ecosystemcomputer.software_genreLSH forestbig data020204 information systemsSchema (psychology)0202 electrical engineering electronic engineering information engineeringOntology020201 artificial intelligence & image processingData mininglocality-sensitive hashingbusinesscomputer
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Lipas data 04/2023

2023

This data includes all sport facilities in Lipas database on 23.4.2023 and basic attribute information about the places. The data is classified and each sport facility has its own Lipas ID. The data is provided as Esri Shapefiles (points, routes and areas). Tämä aineisto sisältää kaikki Lipas-tietokannan liikuntapaikat ja aineistotiedot 23.4.2023. Data on luokiteltu, ja jokaiselle liikuntapaikalle on oma Lipas-ID. Data on tarjolla Esri Shapefile -muodossa (pisteet, reitit ja alueet).

exercise areasgeographic informationgeographic information systemspaikkatiedotliikuntatilatliikuntapaikatsports facilitiesliikuntakeskuksetliikuntasuunnitteluliikunta-alueetliikuntapalvelutphysical trainingpaikkatietojärjestelmätsports grounds and physical exercise facilitiesphysical hobbiesexercise centresliikuntaharrastusexercise planningphysical activity services
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Lipas-data 04/2022

2022

Tämä aineisto sisältää kaikki Lipas-tietokannan liikuntapaikat ja aineistotiedot 29.4.2022. Data on luokiteltu, ja jokaiselle liikuntapaikalle on oma Lipas-ID. Data on tarjolla Esri Shapefile -muodossa (pisteet, reitit ja alueet). This data includes all sport facilities in Lipas database on 29.4.2022 and basic attribute information about the places. The data is classified and each sport facility has its own Lipas ID. The data is provided as Esri Shapefiles (points, routes and areas) in Finnish, Swedish and English.

exercise areasgeographic informationgeographic information systemspaikkatiedotliikuntatilatsports facilitiesliikuntapaikatliikuntakeskuksetliikunta-alueetliikuntasuunnitteluphysical trainingliikuntapalvelutpaikkatietojärjestelmätsports grounds and physical exercise facilitiesphysical hobbiesexercise centresliikuntaharrastusexercise planningphysical activity services
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Lipas-data 10/2022

2022

Tämä aineisto sisältää kaikki Lipas-tietokannan liikuntapaikat ja aineistotiedot 20.10.2022. Data on luokiteltu, ja jokaiselle liikuntapaikalle on oma Lipas-ID. Data on tarjolla Esri Shapefile -muodossa (pisteet, reitit ja alueet). This data includes all sport facilities in Lipas database on 20.10.2022 and basic attribute information about the places. The data is classified and each sport facility has its own Lipas ID. The data is provided as Esri Shapefiles (points, routes and areas) in Finnish, Swedish and English.

exercise areasgeographic informationgeographic information systemspaikkatiedotliikuntatilatsports facilitiesliikuntapaikatliikuntakeskuksetliikuntasuunnitteluliikunta-alueetphysical trainingliikuntapalvelutpaikkatietojärjestelmätsports grounds and physical exercise facilitiesphysical hobbiesexercise centresliikuntaharrastusexercise planningphysical activity services
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Emulating the Effects of Radiation-Induced Soft-Errors for the Reliability Assessment of Neural Networks

2021

International audience; Convolutional Neural Networks (CNNs) are currently one of the most widely used predictive models in machine learning. Recent studies have demonstrated that hardware faults induced by radiation fields, including cosmic rays, may significantly impact the CNN inference leading to wrong predictions. Therefore, ensuring the reliability of CNNs is crucial, especially for safety-critical systems. In the literature, several works propose reliability assessments of CNNs mainly based on statistically injected faults. This work presents a software emulator capable of injecting real faults retrieved from radiation tests. Specifically, from the device characterisation of a DRAM m…

fault injectionComputer scienceNeural netsInferenceRadiation effectsRadiation inducedFault (power engineering)Convolutional neural networkSoftwareFault injectionComputer Science (miscellaneous)[SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/MicroelectronicsReliability (statistics)reliabilityArtificial neural networkApproximate methodsEvent (computing)business.industryReliabilityComputer Science Applications[SPI.TRON]Engineering Sciences [physics]/ElectronicsHuman-Computer Interactionneural netsComputer engineeringapproximate methodsradiation effects[INFO.INFO-ES]Computer Science [cs]/Embedded SystemsbusinessInformation Systems
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Comparison of feature importance measures as explanations for classification models

2021

AbstractExplainable artificial intelligence is an emerging research direction helping the user or developer of machine learning models understand why models behave the way they do. The most popular explanation technique is feature importance. However, there are several different approaches how feature importances are being measured, most notably global and local. In this study we compare different feature importance measures using both linear (logistic regression with L1 penalization) and non-linear (random forest) methods and local interpretable model-agnostic explanations on top of them. These methods are applied to two datasets from the medical domain, the openly available breast cancer …

feature importanceComputer scienceGeneral Chemical EngineeringGeneral Physics and Astronomy02 engineering and technologyinterpretable modelstekoälyMachine learningcomputer.software_genreLogistic regressionDomain (software engineering)020204 information systems0202 electrical engineering electronic engineering information engineeringFeature (machine learning)General Materials ScienceGeneral Environmental Scienceluokitus (toiminta)explainable artificial intelligencebusiness.industrylogistic regressionGeneral EngineeringRandom forestkoneoppiminenTrustworthinessInjury dataGeneral Earth and Planetary Sciences020201 artificial intelligence & image processingArtificial intelligencebusinesscomputerrandom forestSN Applied Sciences
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The Effect of the Perceived Utility of a Management Control System with a Broad Scope on the Use of Food Waste Information and on Financial and Non-F…

2020

The purpose of this study is to analyse the effect of the perceived utility of a management control system with a broad scope on the use of food waste information and on financial and non-financial performances in restaurants. To collect data, a questionnaire was administered in Brazilian restaurants. Data from 206 restaurants were analysed with structural equation modelling, which was performed with SmartPLS software. The results reveal that a management control system of broad scope, which includes non-financial information, is oriented towards the future, and contains an external and long-term focus, assists in the use of information on food waste. In addition, the use of information abo…

food service industryGeography Planning and Developmentlcsh:TJ807-830lcsh:Renewable energy sourcesManagement Monitoring Policy and Lawmanagement control system design:CIENCIAS ECONÓMICAS [UNESCO]Structural equation modelinginformationbroad-scopeSoftwareInformation systemlcsh:Environmental sciencesFinancelcsh:GE1-350Focus (computing)Scope (project management)Renewable Energy Sustainability and the Environmentbusiness.industrylcsh:Environmental effects of industries and plantsUNESCO::CIENCIAS ECONÓMICASFood wastelcsh:TD194-195food wasteSettore IUS/03 - Diritto AgrariobusinessperformanceManagement control system
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Fuzzy Systems Based on Multispecies PSO Method in Spatial Analysis

2012

We present a method by using the hierarchical cluster-based Multispecies particle swarm optimization to generate a fuzzy system of Takagi-Sugeno-Kang type encapsulated in a geographical information system considered as environmental decision support for spatial analysis. We consider a spatial area partitioned in subzones: the data measured in each subzone are used to extract a fuzzy rule set of above mentioned type. We adopt a similarity index (greater than a specific threshold) for comparing fuzzy systems generated for adjacent subzones.

fuzzy systemlcsh:Computer softwareDecision support systemControl and OptimizationFuzzy rulespatial analysisArticle SubjectParticle swarm optimizationFuzzy control systemcomputer.software_genreHierarchical clusteringSet (abstract data type)Computational Mathematicslcsh:QA76.75-76.765Similarity (network science)Control and Systems EngineeringInformation systemData mininglcsh:Electrical engineering. Electronics. Nuclear engineeringmultispecies PSOcomputerlcsh:TK1-9971MathematicsAdvances in Fuzzy Systems
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