735 resultados para ASP.Net
Resumo:
Observations of net ecosystem exchange (NEE) of carbon and its biophysical drivers have been collected at the AmeriFlux site in the Morgan-Monroe State Forest (MMSF) in Indiana, USA since 1998. Thus, this is one of the few deciduous forest sites in the world, where a decadal analysis on net ecosystem productivity (NEP) trends is possible. Despite the large interannual variability in NEP, the observations show a significant increase in forest productivity over the past 10 years (by an annual increment of about 10 g C m−2 yr−1). There is evidence that this trend can be explained by longer vegetative seasons, caused by extension of the vegetative activity in the fall. Both phenological and flux observations indicate that the vegetative season extended later in the fall with an increase in length of about 3 days yr−1 for the past 10 years. However, these changes are responsible for only 50% of the total annual gain in forest productivity in the past decade. A negative trend in air and soil temperature during the winter months may explain an equivalent increase in NEP through a decrease in ecosystem respiration.
Resumo:
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.
Resumo:
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.
Resumo:
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.
Resumo:
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.
Resumo:
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.
Resumo:
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.
Resumo:
Denna rapport är resultatet av kursen Examensarbete i Informatik på Högskolan Dalarna. Examensarbetet är uppdelat i två delar. Ena delen har som syfte att ge en förstagångsanvändare en introduktion i Mobile.NET. Här beskrivs även vissa skillnader mot traditionell ASP. Andra delen, som uppfyller målet har varit att utveckla en tjänst som gör det möjligt att spela in tv-program på en dator från olika mobila enheter samt pc. Det arbete som föranlett rapporten har bestått av en egenhändigt framtagen metod som hämtat inspiration från Direct-modellen samt Polyas generella metod.Slutsatserna som framkommit är att det idag inte finns tillräckligt bra wap-tjänster som lockar allmänheten att wappa. Mobiltelefonen kommer till sin fulla rätt som en förlängd fjärr-kontroll, som kan integrera människan med hemmet på långa avstånd. För att utvecklingen av wap-tjänster ska ta fart krävs högre prestanda och nya idéer om tjänster. En tanke är att fler tjänster och nya idéer kommer ta fart nu när Microsoft släppt sitt utvecklingsverktyg Mobile Internet Toolkit. Nu behöver utvecklaren inte göra en tillämpning för varje mobilenhet. Kanske kommer denna rapport väcka en ny tanke om vad wap-tjänster kan göra.
Resumo:
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.
Resumo:
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.