992 resultados para Net Logo


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An efficient two-level model identification method aiming at maximising a model׳s generalisation capability is proposed for a large class of linear-in-the-parameters models from the observational data. A new elastic net orthogonal forward regression (ENOFR) algorithm is employed at the lower level to carry out simultaneous model selection and elastic net parameter estimation. The two regularisation parameters in the elastic net are optimised using a particle swarm optimisation (PSO) algorithm at the upper level by minimising the leave one out (LOO) mean square error (LOOMSE). There are two elements of original contributions. Firstly an elastic net cost function is defined and applied based on orthogonal decomposition, which facilitates the automatic model structure selection process with no need of using a predetermined error tolerance to terminate the forward selection process. Secondly it is shown that the LOOMSE based on the resultant ENOFR models can be analytically computed without actually splitting the data set, and the associate computation cost is small due to the ENOFR procedure. Consequently a fully automated procedure is achieved without resort to any other validation data set for iterative model evaluation. Illustrative examples are included to demonstrate the effectiveness of the new approaches.

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Combining satellite data, atmospheric reanalyses and climate model simulations, variability in the net downward radiative flux imbalance at the top of Earth's atmosphere (N) is reconstructed and linked to recent climate change. Over the 1985-1999 period mean N (0.34 ± 0.67 Wm–2) is lower than for the 2000-2012 period (0.62 ± 0.43 Wm–2, uncertainties at 90% confidence level) despite the slower rate of surface temperature rise since 2000. While the precise magnitude of N remains uncertain, the reconstruction captures interannual variability which is dominated by the eruption of Mt. Pinatubo in 1991 and the El Niño Southern Oscillation. Monthly deseasonalized interannual variability in N generated by an ensemble of 9 climate model simulations using prescribed sea surface temperature and radiative forcings and from the satellite-based reconstruction is significantly correlated (r ∼ 0.6) over the 1985-2012 period.

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Users’ requirements change drives an information system evolution. Consequently, such evolution affects those atomic services which provide functional operations from one state of their composition to another state of composition. A challenging issue associated with such evolution of the state of service composition is to ensure a resultant service composition remaining rational. This paper presents a method of Service Composition Atomic-Operation Set (SCAOS). SCAOS defines 2 classes of atomic operations and 13 kinds of basic service compositions to aid a state change process by using Workflow Net. The workflow net has algorithmic capabilities to compose the required services with rationality and maintain any changes to the services in a different composition also rational. This method can improve the adaptability to the ever changing business requirements of information systems in the dynamic environment.

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We utilized an ecosystem process model (SIPNET, simplified photosynthesis and evapotranspiration model) to estimate carbon fluxes of gross primary productivity and total ecosystem respiration of a high-elevation coniferous forest. The data assimilation routine incorporated aggregated twice-daily measurements of the net ecosystem exchange of CO2 (NEE) and satellite-based reflectance measurements of the fraction of absorbed photosynthetically active radiation (fAPAR) on an eight-day timescale. From these data we conducted a data assimilation experiment with fifteen different combinations of available data using twice-daily NEE, aggregated annual NEE, eight-day f AP AR, and average annual fAPAR. Model parameters were conditioned on three years of NEE and fAPAR data and results were evaluated to determine the information content from the different combinations of data streams. Across the data assimilation experiments conducted, model selection metrics such as the Bayesian Information Criterion and Deviance Information Criterion obtained minimum values when assimilating average annual fAPAR and twice-daily NEE data. Application of wavelet coherence analyses showed higher correlations between measured and modeled fAPAR on longer timescales ranging from 9 to 12 months. There were strong correlations between measured and modeled NEE (R2, coefficient of determination, 0.86), but correlations between measured and modeled eight-day fAPAR were quite poor (R2 = −0.94). We conclude that this inability to determine fAPAR on eight-day timescale would improve with the considerations of the radiative transfer through the plant canopy. Modeled fluxes when assimilating average annual fAPAR and annual NEE were comparable to corresponding results when assimilating twice-daily NEE, albeit at a greater uncertainty. Our results support the conclusion that for this coniferous forest twice-daily NEE data are a critical measurement stream for the data assimilation. The results from this modeling exercise indicate that for this coniferous forest, average annuals for satellite-based fAPAR measurements paired with annual NEE estimates may provide spatial detail to components of ecosystem carbon fluxes in proximity of eddy covariance towers. Inclusion of other independent data streams in the assimilation will also reduce uncertainty on modeled values.

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Two methods are developed to estimate net surface energy fluxes based upon satellite-based reconstructions of radiative fluxes at the top of atmosphere and the atmospheric energy tendencies and transports from the ERA-Interim reanalysis. Method 1 applies the mass adjusted energy divergence from ERA-Interim while method 2 estimates energy divergence based upon the net energy difference at the top of atmosphere and the surface from ERA-Interim. To optimise the surface flux and its variability over ocean, the divergences over land are constrained to match the monthly area mean surface net energy flux variability derived from a simple relationship between the surface net energy flux and the surface temperature change. The energy divergences over the oceans are then adjusted to remove an unphysical residual global mean atmospheric energy divergence. The estimated net surface energy fluxes are compared with other data sets from reanalysis and atmospheric model simulations. The spatial correlation coefficients of multi-annual means between the estimations made here and other data sets are all around 0.9. There are good agreements in area mean anomaly variability over the global ocean, but discrepancies in the trend over the eastern Pacific are apparent.

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Usually, a Petri net is applied as an RFID model tool. This paper, otherwise, presents another approach to the Petri net concerning RFID systems. This approach, called elementary Petri net inside an RFID distributed database, or PNRD, is the first step to improve RFID and control systems integration, based on a formal data structure to identify and update the product state in real-time process execution, allowing automatic discovery of unexpected events during tag data capture. There are two main features in this approach: to use RFID tags as the object process expected database and last product state identification; and to apply Petri net analysis to automatically update the last product state registry during reader data capture. RFID reader data capture can be viewed, in Petri nets, as a direct analysis of locality for a specific transition that holds in a specific workflow. Following this direction, RFID readers storage Petri net control vector list related to each tag id is expected to be perceived. This paper presents PNRD cornerstones and a PNRD implementation example in software called DEMIS Distributed Environment in Manufacturing Information Systems.

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Syftet med projektet var att tillverka en webbaserad kartvisningstjänst för att visualisera geografiska och infrastrukturella förändringar över tiden. Detta genom att historiska och dagsaktuella kartor överlappas och presenteras som en bild.Applikationen utvecklades i ASP.NET med programspråket Visual Basic. Som databashanterare användes Microsoft SQL-server 2000. För bearbetning av kartmaterialet användes Arcview 8. Som utvecklingsmetod användes David Siegels modell för att konstruera webbplatser. Rapporten tar upp Ben Schniedermans principer för att skapa användarvänliga webbapplikationer.Examensarbetet genomfördes våren 2004 vid Högskolan Dalarna, campus Framtidsdalen, Borlänge.

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Vi fick av netweb.se uppdraget att tillverka ett webbaserat tidbokningssystem. Detta tidbokningssystem skulle vara möjligt att applicera på många olika typer av verksamheter. Kunden framlade ett önskemål om att systemet skulle byggas i ASP.net.Tillsammans med detta system har vi även fördjupat oss i användbarhet och utnyttjat denna studie till att göra ett användbarhetstest. Resultaten av testet har utvärderats och applicerats på systemet.Projektet ledde till ett färdigt tidbokningssystem. Resultatet av användbarhetstestet visade på skillnader mellan yrkesgrupper, där människor inom databranschen hade störst svårigheter att ta till sig systemet. Anledningar till detta kan vara att utvecklare och datatekniker fokuserar på fel saker när de bedömer ett system, samt inte tänker som en användare. Även skillnader mellan kön och åldersgrupper visade sig i resultatet av användbarhetstestet.

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Vi har i vårat examensarbete tagit fram en e-marknadsplats i för Högskolan Dalarna. Marknadsplatsen är programmerad i asp.NET och vb.NET. Fram tills idag har skolans anslagstavlor använts flitigt för annonsering av, inte bara studentlitteratur, utan allt från pennor till bilar. Högskolan Dalarna har därför en önskan om att få en e-marknadsplats där studenter har möjlighet att annonsera.

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Examensarbetet är utfört på uppdrag av Banverket Data i Borlänge. Syftet med arbetet var att ta fram en kravspecifikation för en telefonkatalogs applikation för deras intranät samt utveckla denna i .Net mot ett befintligt mellanlager. Arbetet med utvecklingen har följt Banverket Datas egen metod för systemutveckling och arbetet med förstudierna har använt kvalitativ och kvantitativ metod. Dessutom beskriver rapporten även kravspecifikationer mer ingående.

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I dagens näringsliv är effektiv kommunikation och informationsutbyte mellan företag en förutsättning för verksamheten. Näringslivet utmärks av förändring; företag köps upp, företag slås samman, företag samarbetar i projektform. Behovet av att integrera varandras informationssystem står i paritet med ovanstående förändringar. Ett stort problem med systemintegration är variationsrikedomen mellan informationssystemen, beträffande teknisk plattform och programspråk. Webservices erbjuder metoder att enkelt integrera olika informationssystem med varandra.I rapporten beskrivs hur webservices implementeras och vilka tekniska komponenter som ingår, samt de fördelar som webservicetekniken ger. Uppdraget från Sogeti, Borlänge var att designa och implementera en prototyp, i vilken klientapplikationer i Java och VB.NET integreras med varandra genom webservices i respektive programspråk. För analys och design har metoden UML använts. Slutsatsen av rapporten är att Java och VB.NET kan kommunicera med varandra genom webserviceteknik. Dock är integrationen mellan de två programspråken inte okomplicerad. Detta leder till slutsatsen att webservicetekniken måste standardiseras för att få ordentligt genomslag som teknik för systemintegration mellan olika programspråk.