Search results for "support"

showing 10 items of 2310 documents

Downscaling rice yield simulation at sub-field scale using remotely sensed LAI data

2019

Abstract Crop modeling and remote sensing are key tools to gain deeper understanding on cropping system dynamics and, ultimately, to increase the sustainability of agricultural productions. This study presents a system to estimate rice yields at sub-field scale based on the integration of a biophysical model and remotely sensed products. Leaf area index (LAI) data derived from decametric optical imageries (i.e., Landsat-8, Landsat-7 and Sentinel–2A) were assimilated into the WARM rice model via automatic recalibration of crop parameters at a fine spatial resolution (30 m × 30 m), targeting the lowest error between simulated and remotely sensed LAI. The performance of the system was evaluate…

0106 biological sciencesSoil SciencePlant Science01 natural sciencesYield (wine)WARM modelCrop modelLeaf area indexCropping systemDecision support systemRemote sensing2. Zero hungerCrop yieldYield predictions04 agricultural and veterinary sciencesRemote sensing15. Life on landAgronomyData assimilation040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental sciencePrecision agricultureScale (map)Agronomy and Crop ScienceCropping010606 plant biology & botanyDownscalingEuropean Journal of Agronomy
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2021

Sustainable forest management plays a key role for forest biodiversity and the provisioning of ecosystem services (BES), including the important service of carbon sequestration for climate change mitigation. Forest managers, however, find themselves in the increasingly complex planning situation to balance the often conflicting demands in BES. To cope with this situation, a prototype of a decision support system (DSS) for strategic (long-term) planning at the forest enterprise level was developed in the present project. The DSS was applied at three case study enterprises (CSEs) in Northern Switzerland, two lowland and one higher-elevation enterprise, for a 50-year time horizon (2010 to 2060…

0106 biological sciencesStrategic planningGlobal and Planetary ChangeDecision support system010504 meteorology & atmospheric sciencesEcologybusiness.industryEnvironmental resource managementSustainable forest managementClimate changeForestryProvisioning15. Life on landEnvironmental Science (miscellaneous)010603 evolutionary biology01 natural sciencesEcosystem servicesClimate change mitigation13. Climate action11. Sustainabilitybusiness0105 earth and related environmental sciencesNature and Landscape ConservationDecision analysisFrontiers in Forests and Global Change
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Quantifying and resolving conservation conflicts in forest landscapes via multiobjective optimization

2017

Environmental planning for of the maintenance of different conservation objectives should take into account multiple contrasting criteria based on alternative uses of the landscape. We develop new concepts and approaches to describe and measure conflicts among conservation objectives and for resolving them via multiobjective optimization. To measure conflicts we introduce a compatibility index that quantifies how much targeting a certain conservation objective affects the capacity of the landscape for providing another objective. To resolve such conflicts we find compromise solutions defined in terms of minimax regret, i.e. minimizing the maximum percentage of deterioration among conservati…

0106 biological sciencesta113ecosystem managementenvironmental conflicts010504 meteorology & atmospheric sciencesComputer scienceEcologydecision support toolsEcological Modelingforestry010603 evolutionary biology01 natural sciencesMulti-objective optimizationbiodiversiteettimetsätalousympäristökonfliktitta1181lcsh:SD1-669.5lcsh:Forestrysystematic conservation planningEnvironmental planningland-use planning0105 earth and related environmental sciencesbiodiversitySilva Fennica
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Ant Colony Optimisation-Based Classification Using Two-Dimensional Polygons

2016

The application of Ant Colony Optimization to the field of classification has mostly been limited to hybrid approaches which attempt at boosting the performance of existing classifiers (such as Decision Trees and Support Vector Machines (SVM)) — often through guided feature reductions or parameter optimizations.

0209 industrial biotechnologyBoosting (machine learning)business.industryComputer scienceAnt colony optimization algorithmsDecision treePattern recognition02 engineering and technologyAnt colonycomputer.software_genreSwarm intelligenceSupport vector machineComputingMethodologies_PATTERNRECOGNITION020901 industrial engineering & automationKernel method0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligenceData miningbusinesscomputer
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Hankelet-based action classification for motor intention recognition

2017

Powered lower-limb prostheses require a natural, and an easy-to-use, interface for communicating amputee’s motor intention in order to select the appropriate motor program in any given context, or simply to commute from active (powered) to passive mode of functioning. To be widely accepted, such an interface should not put additional cognitive load at the end-user, it should be reliable and minimally invasive. In this paper we present a one such interface based on a robust method for detecting and recognizing motor actions from a low-cost wearable sensor network mounted on a sound leg providing inertial (accelerometer, gyrometer and magnetometer) data in real-time. We assume that the sensor…

0209 industrial biotechnologyComputer scienceGeneral MathematicsInterface (computing)Context (language use)02 engineering and technologyAction recognitionLTI system theoryMatrix (mathematics)020901 industrial engineering & automationMatch moving0202 electrical engineering electronic engineering information engineeringMathematics (all)Computer visionObservabilitySettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionibusiness.industrySystem identificationComputer Science Applications1707 Computer Vision and Pattern RecognitionAction recognition; Motor intention recognition; Powered (active) lower-limb prostheses; Wearable sensor networks; Control and Systems Engineering; Software; Mathematics (all); Computer Science Applications1707 Computer Vision and Pattern RecognitionMotor intention recognitionComputer Science ApplicationsSupport vector machineControl and Systems EngineeringPowered (active) lower-limb prostheseWearable sensor network020201 artificial intelligence & image processingArtificial intelligencebusinessHankel matrixSoftwareRobotics and Autonomous Systems
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Using the Analytic Hierarchy Process (AHP) in Evaluating the Decision of Moving to a Manufacturing Process Based Upon Continuous 5 Axes CNC Machine-t…

2016

Abstract This paper represents the second part of the work described in the paper with the title “Decision-making tool for moving from 3-axes to 5-axes CNC machine-tool”. The problem of using either 3 axes CNC machine-tools or 5 axes CNC machine tools was presented in the first part, together with a fuzzy logic based decision support tool. This time, an AHP approach is used in order to evaluate the decision of moving to a manufacturing process based upon 5 axes machine tools. Three variants were taken into consideration and analysed. The consistency of the proposed approach was evaluated and a sensitivity analysis was also introduced.

0209 industrial biotechnologyDecision support system5 axesbusiness.product_categoryComputer scienceAnalytic hierarchy processcosts02 engineering and technologyFuzzy logicanalytic hierarchy processevaluationConsistency (database systems)020901 industrial engineering & automationMachiningCNC machine-tool0202 electrical engineering electronic engineering information engineeringSensitivity (control systems)General Environmental ScienceaccuracyIndustrial engineeringMachine tool3 axesNumerical controlGeneral Earth and Planetary Sciences020201 artificial intelligence & image processingbusinessmachiningProcedia Computer Science
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Assembly Assistance System with Decision Trees and Ensemble Learning

2021

This paper presents different prediction methods based on decision tree and ensemble learning to suggest possible next assembly steps. The predictor is designed to be a component of a sensor-based assembly assistance system whose goal is to provide support via adaptive instructions, considering the assembly progress and, in the future, the estimation of user emotions during training. The assembly assistance station supports inexperienced manufacturing workers, but it can be useful in assisting experienced workers, too. The proposed predictors are evaluated on the data collected in experiments involving both trainees and manufacturing workers, as well as on a mixed dataset, and are compared …

0209 industrial biotechnologyDecision support systemComputer scienceDecision treetraining stations02 engineering and technologyTP1-1185Machine learningcomputer.software_genreBiochemistryArticleAnalytical Chemistry020901 industrial engineering & automationPrediction methodsComponent (UML)decision tree0202 electrical engineering electronic engineering information engineeringassembly assistance systemsElectrical and Electronic EngineeringInstrumentationbusiness.industryChemical technologyNoveltyContrast (statistics)Ensemble learningAtomic and Molecular Physics and Opticsensemble learning020201 artificial intelligence & image processingSupport systemArtificial intelligencebusinesscomputerdecision support systemsSensors
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The Advantage of Digital Decision Making for Strategic Decisions – Proofed by a Supply Chain Case

2017

This paper will discuss the advantage of decision making supported by a digital system and will provide an overview of an empiric analysis researched on this topic. Decision making in organizations is a significant system implied task of managers and therefore a broad area in scientific research, not only in the disciplines management or business studies – even from technical to humanistic disciplines. Nowadays the trend of digitalization captures all areas of life especially in business, as well as the typical management task of decision making. Triggered by the digitalization trend business will move toward an autonomous decision making of machines or cyber systems. The important step tow…

0209 industrial biotechnologyDecision support systemProcess managementComputer scienceProcess (engineering)media_common.quotation_subjectSupply chain02 engineering and technologyComputer-assisted web interviewing010501 environmental sciences01 natural sciencesBusiness studies020901 industrial engineering & automationCommerceBusiness caseFunction (engineering)Decision model0105 earth and related environmental sciencesmedia_commonINTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE AND BUSINESS ADMINISTRATION
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Collaboration and Decision-Making in Context

2016

The goal of this chapter is to provide a historical account of the evolutions in the domain of the book and to set the stage for the concepts and solutions to be presented in the following chapters, including the introduction of the terminology adopted to be used throughout this text. Consequently, we aim at providing the answers to a series of questions, such as: (a) “How the organizations have been evolving over the last decades?”, (b) “Which have been the corresponding trends of the management and control schemes?”, (c) “How management and control functions are allocated to human and automation equipment?”, (d) “Which are the desirable properties of the information processing tools meant…

0209 industrial biotechnologyDecision support systemProcess managementComputer sciencebusiness.industry010401 analytical chemistryControl (management)Information processingContext (language use)02 engineering and technology01 natural sciencesAutomation0104 chemical sciencesTerminology020901 industrial engineering & automationSection (archaeology)businessDecision model
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Propulsion monitoring system for digitized ship management: Preliminary results from a case study

2020

Abstract The paradigm of Industry 4.0 a fundamental driver of innovation in marine industry, where the new digital era will see the development of smart cyber-ships equipped with advanced automation systems that will progressively evolve towards fully autonomous vessels. Although the journey towards such technological frontier has started, most companies operating in the maritime sector still appear un-prepared to face the future scenario. In the maritime sector, in fact, empirical models and oversimplified approaches are still largely employed for the management of fleet operations. There is thus the necessity of developing and providing operative models for digitized ship management, whic…

0209 industrial biotechnologyDecision support systemShip managementcontinuous engine monitoring systemsmart shipbusiness.industryDigital eraComputer scienceMonitoring systemContext (language use)02 engineering and technologyPropulsionIndustry 4.0AutomationGeneralLiterature_MISCELLANEOUSIndustrial and Manufacturing Engineering020303 mechanical engineering & transports020901 industrial engineering & automation0203 mechanical engineeringRisk analysis (engineering)Artificial IntelligenceOrder (exchange)Settore ING-IND/17 - Impianti Industriali Meccanicibusiness
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