Search results for "warehouse"

showing 10 items of 362 documents

Acoustic Environmental Monitoring System for Acoustic Maps

2008

In this work, it is developed a data acquisition and analysis system for the monitoring of acoustic environmental noises and the elaboration of dynamic acoustic maps. This project is based on the obtaining of acoustic data in different measure points, and it is formed by a mesh of connections based on GPRS NODES and a Software Server for the administration and control of the data.

Measure (data warehouse)Computer sciencebusiness.industryReal-time computingCondition monitoringNoiseData acquisitionSoftwareEmbedded systemGround-penetrating radarEnvironmental monitoringComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMSGeneral Packet Radio Servicebusiness2008 The Second International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies
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Evaluation of a Real, Low Cost, Urban WSN Deployment for Accurate Environmental Monitoring

2011

There are many areas where Wireless Sensor Networks (WSN) can offer innovative solutions for environmental monitoring applications and the meteorological community, but due to their complexity in terms of energy constraints and low performance devices, very few real deployments can be found. In this paper we will explain in detail the design, implementation and performance evaluation of a sparse WSN that has been working maintenance-free for over 12 months. The network has been designed for environmental monitoring purposes, and several motes, attached to lampposts, accurately measure the Temperature and Relative Humidity at various locations in a local street. Our contribution is an enhanc…

Measure (data warehouse)Computer sciencebusiness.industrySoftware deploymentEmbedded systemEnvironmental monitoringReal-time computingRelative humidityRouting (electronic design automation)businessWireless sensor networkEnergy (signal processing)Power (physics)2011 IEEE Eighth International Conference on Mobile Ad-Hoc and Sensor Systems
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A SYNTHETIC MEASURE FOR THE ASSESSMENT OF THE PROJECT PERFORMANCE

2009

The present paper aims to offer a synthetic project performance indicator (PPI) that aggregates two input parameters obtained by the Earned Value Analysis. The PPI is calculated by using a Fuzzy Inference System (FIS) able to single out a measure based on the input parameters, instead of formulating a mathematical model that could be a troublesome task whenever complex relations among the input variables exist. The purpose is to communicate the project performance to the stakeholders in a clear and complete way, for example, describing the PPI by means of contour lines.

Measure (data warehouse)ComputingMethodologies_PATTERNRECOGNITIONFuzzy inference systemComputer scienceContour lineSettore ING-IND/17 - Impianti Industriali MeccaniciPerformance indicatorData miningcomputer.software_genrecomputerProject Performance Measurement Earned Value Fuzzy Inference SystemTask (project management)Earned value management
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UML-Based Metamodeling for Information System Engineering and Evolution

2003

In modelers’ practice metamodels have become the core of UML-based metamodeling environments: metamodels form the basis of application domain descriptions, and they are instantiated into models. In the context of information system engineering and interoperability, we have developped two operations on metamodels: metamodel integration and measure of semantical distance between metamodels. In this paper, we explore application of these operations to information systems’ evolution.

Measure (data warehouse)ComputingMethodologies_SIMULATIONANDMODELINGbusiness.industryComputer scienceInteroperabilityContext (language use)MetamodelingUnified Modeling LanguageSoftware_SOFTWAREENGINEERINGApplication domainInformation systemSoftware_PROGRAMMINGLANGUAGESSoftware engineeringbusinesscomputerAlgorithmSoftware architecture descriptioncomputer.programming_language
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Classifying efficient alternatives in SMAA using cross confidence factors

2006

Abstract Stochastic multicriteria acceptability analysis (SMAA) is a family of methods for aiding multicriteria group decision making. These methods are based on exploring the weight space in order to describe the preferences that make each alternative the most preferred one. The main results of the analysis are rank acceptability indices, central weight vectors and confidence factors for different alternatives. The rank acceptability indices describe the variety of different preferences resulting in a certain rank for an alternative; the central weight vectors represent the typical preferences favouring each alternative; and the confidence factors measure whether the criteria data are suff…

Measure (data warehouse)Decision support systemInformation Systems and ManagementGeneral Computer ScienceOperations researchStochastic modellingbusiness.industryLow ConfidenceRank (computer programming)Management Science and Operations ResearchMachine learningcomputer.software_genreIndustrial and Manufacturing EngineeringVariety (cybernetics)Group decision-makingModeling and SimulationData envelopment analysisArtificial intelligencebusinesscomputerMathematicsEuropean Journal of Operational Research
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Stochastic Multicriteria Acceptability Analysis (SMAA)

2010

Stochastic multicriteria acceptability analysis (SMAA) is a family of methods for aiding multicriteria group decision making in problems with uncertain, imprecise or partially missing information. These methods are based on exploring the weight space in order to describe the preferences that make each alternative the most preferred one, or that would give a certain rank for a specific alternative. The main results of the analysis are rank acceptability indices, central weight vectors and confidence factors for different alternatives. The rank acceptability indices describe the variety of different preferences resulting in a certain rank for an alternative, the central weight vectors represe…

Measure (data warehouse)Decision support systemOperations researchComputer scienceRank (computer programming)Decision problemMultiple-criteria decision analysisPreference (economics)Variety (cybernetics)Group decision-making
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Introducing the Temporal Distortion Index to perform a bidimensional analysis of renewable energy forecast

2016

Abstract Wind has been the largest contributor to the growth of renewal energy during the early 21st century. However, the natural uncertainty that arises in assessing the wind resource implies the occurrence of wind power forecasting errors which perform a considerable role in the impacts and costs in the wind energy integration and its commercialization. The main goal of this paper is to provide a deeper insight in the analysis of timing errors which leads to the proposal of a new methodology for its control and measure. A new methodology, based on Dynamic Time Warping, is proposed to be considered in the estimation of accuracy as attribute of forecast quality. A new dissimilarity measure…

Measure (data warehouse)Dynamic time warpingIndex (economics)Wind powerComputer sciencebusiness.industry020209 energyMechanical Engineeringmedia_common.quotation_subjectWind power forecasting02 engineering and technologyBuilding and ConstructionPollutionIndustrial and Manufacturing EngineeringRenewable energyGeneral EnergyDistortion0202 electrical engineering electronic engineering information engineeringEconometricsQuality (business)Electrical and Electronic EngineeringbusinessCivil and Structural Engineeringmedia_commonEnergy
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Field Measurements and Parameter Calibrations of Propagation Model for Digital Audio Broadcasting in Norway

2018

During 2017, digital audio broadcasting (DAB) replaces frequency modulation (FM) broadcasting and becomes the only technology for national terrestrial audio broadcasting services in Norway. As Norway is the first country that replaces FM completely with DAB, it is of great importance to measure the signal strength of such a technology in massive deployments and to tune a simulation model as a reference for future studies. Therefore, field measurements of received signal strength are carried out in a typical Norwegian area in this work. Based on the data obtained from the measurements, a simulator with a recent empirical propagation model, namely, ITU-R P.1546-5, has been calibrated. The fin…

Measure (data warehouse)Field (physics)business.industryComputer scienceAttenuation020208 electrical & electronic engineering020206 networking & telecommunications02 engineering and technologyBroadcastingBroadcasting (networking)Digital audio broadcastingSignal strength0202 electrical engineering electronic engineering information engineeringElectronic engineeringbusinessFrequency modulation
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How the Atmospheric Variables Affect to the WLAN Datalink Layer Parameters

2010

There are many issues that affect to WLAN connections (walls, vegetation, rain, objects in the Fresnel zone, etc.). Network designers and telecommunication practitioners must take them into account when they are planning wireless connections between devices. Some studies have demonstrated the implication of the atmospheric variables in the frequency attenuation and in the line of sight of the waves. But, to the extend of our knowledge, there is not any work published that relates the atmospheric variables with the datalink layer parameters of the WLANs. We must take into account that the datalink layer allows us to measure quite more parameters than the physical layer. After a review of the…

Measure (data warehouse)Fresnel zoneMeteorologybusiness.industryComputer sciencePhysical layerWirelessAtmosphericsbusinessData link layer2010 Sixth Advanced International Conference on Telecommunications
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Water quality indicators: Comparison of a probabilistic index and a general quality index. The case of the Confederación Hidrográfica del Júcar (Spai…

2010

Abstract The main objective of this work is to measure water quality using a stochastic index built with tools of Probability Theory. Its great advantage is that it accounts for the underlying uncertainty in quality classification that results from variations in the data for individual physical and chemical characteristics, considering them as random variables. We compare the results obtained by measuring water quality with this index (the probabilistic index, PI ) and a classical deterministic index (the general quality index, GQI ). Also we do a comparison with other usual indices in order to validate the PI index. To demonstrate the application of PI and GQI indices, we used information …

Measure (data warehouse)Index (economics)Ecologymedia_common.quotation_subjectProbabilistic logicGeneral Decision SciencesVariable (computer science)Probability theoryStatisticsQuality (business)Water qualityRandom variableEcology Evolution Behavior and Systematicsmedia_commonMathematicsEcological Indicators
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