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Confirmation and management of multiple resistance of horseweed [Conyza canadensis (L.) Cronq.] to glyphosate and paraquatEubank, Thomas William 01 May 2010 (has links)
Glyphosate-resistant (GR) horseweed has become a major problem in many row crop production systems in the United States. Horseweed is a winter annual weed common in no-till production systems. Fall-applied herbicides were compared with spring-applied treatments for the control of horseweed. In cotton, fall-applied trifloxysulfuron provided similar or greater control of horseweed when compared to spring-applied treatments of glyphosate + dicamba. Cotton yields with fall-applied trifloxysulfuron, clomazone, and flumioxazin were comparable to or better than spring-applied glyphosate + dicamba both years. Fall-applied cloransulam-methyl, flumetsulam, sulfentrazone, and the combination of chlorimuron-ethyl + metribuzin resulted in horseweed control and soybean yields comparable to spring-applied glyphosate + 2,4-D both years. Multiple-resistance to glyphosate and paraquat exists in a horseweed population from Mississippi. Herbicide rates of 0.066 kg ae/ha glyphosate and 0.078 kg ai/ha paraquat were required to reduce susceptible horseweed biomass 50%; whereas, rates of 0.78 kg/ha glyphosate and 0.67 kg/ha paraquat were required to reduce biomass of resistant horseweed to a similar intent. This is the first broadleaf weed species reported as exhibiting multiple-resistance to glyphosate and paraquat. The addition of metribuzin to paraquat improved control of paraquat-resistant horseweed. Paraquat at 0.84 kg/ha plus all rates of metribuzin controlled 15-cm tall horseweed at least 90% both years compared to 73% with 0.84 kg/ha paraquat alone. The addition of 1 and 2% methylated seed oil (MSO) to saflufenacil controlled horseweed 91 and 93%, respectively compared to 78% control with saflufenacil alone. The addition of saflufenacil to glyphosate improved control of GR horseweed from 50% to 100% at 21 d after treatment; control of horseweed with the combination of saflufenacil + glyphosate was additive. Saflufenacil did not affect absorption of glyphosate in glyphosate-susceptible horseweed; however, absorption increased in GR horseweed from 36 to 44% at 48 h after treatment with the addition of saflufenacil when compared to glyphosate alone treatments. Overall, the addition of saflufenacil reduced glyphosate translocation in horseweed at least 6%; however, due to the exceptional efficacy of saflufenacil on horseweed these reductions did not reduce control of GR horseweed.
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Fault Detection and Diagnosis for Brine to Water Heat Pump SystemsVecchio, Daniel January 2014 (has links)
This research project is part of a wider project called Smart Fault Detection and Diagnosis for HeatPump Systems currently under development by the Royal Institute of Technology (KTH).Generally, maintenance, diagnosis and repair of heat pumps are manual operations. The qualityof the service relies almost exclusively on the skills, experience and motivation of the HVAC-Rtechnician. Moreover, professional technicians are only called up after a remarkable failure occursand not to perform routine follow up.The main objective of this master thesis will be to propose a method for fault detection of thebrine to water heat pump systems under operating conditions. It will be done by focusing into ninetests faults related to the first boundary level which represents the heat pump unit, the brine andwater loop. A model based approach was developed to generate features and parameters capableof reading the status of the system. The fault detection was done by imposing test faults in the model and evaluating the trend of the performance parameters. By comparing the predicted fault free values with the actual values (Residuals) from the model, several algorithms were proposed and conducted in order to obtain an online fault detection and diagnosis. It is concluded that the fault trend analysis can, in principle, provide a solution to detect faults in heat pump systems. The algorithms are considered user friendly tools, however more improvementsneeds to be done to include more faults and increase its resolution.
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A GENERALIZED RESIDUALS MODEL FOR THE UNIFIED MATRIX POLYNOMIAL APPROACH TO FREQUENCY DOMAIN MODAL PARAMETER ESTIMATIONFLADUNG, JR., WILLIAM A. 11 October 2001 (has links)
No description available.
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PCA Eigen Residuals: An Analytical Solution to System Modeling and Multivariate Structural Health MonitoringAdediji, Adekunle C. 21 October 2013 (has links)
No description available.
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Adsorbentes preparados a partir de residuos y su aplicación en la eliminación de compuestos causantes de olores (NH3 y H2S)Canals Batlle, Carla 30 November 2012 (has links)
This thesis is focused on two environmental issues. The first one is the recovery of different wastes, such as sewage sludge and fly ashes, and the second one is related to the removal of odour causing compounds which are generated in the same waste water treatment plant (WWTP), like NH3 and H2S. Direct alkaline activation with NaOH and KOH of two sludges which have different specific treatments in the sewage sludge line, has been studied, and it has been compared with the activation of their chars. Two different heating mechanisms were applied: conventional heating and microwave oven heating. All the sewage sludge-derived materials are tested for NH3 removal adsorption experiments. On the other hand it has been studied the preparation of adsorbents by mixing on sewage sludge with fly ashes heated in a microwave oven. The materials adsorbents have a limited development of porosity and are tested for H2S removal. / Esta tesis se centra en dos problemáticas medioambientales. Una es la valorización de residuos, como son los lodos de depuradora y cenizas volantes, y la otra incide en la eliminación de compuestos causantes de malos olores que se generan en las estaciones depuradoras de agua residual (EDARs), como son el NH3 y el H2S. Se ha estudiado la activación alcalina directa con NaOH y KOH de dos lodos, que emplean procesos diferentes en su línea de lodos, y se ha comparado con la activación de sus respectivos pirolizados, usando dos tipos de calentamiento: convencional y microondas. Todos estos materiales se han aplicado a la eliminación de NH3. Por otro lado se estudió la obtención de adsorbentes a partir de un lodo mezclado con distintas proporciones de cenizas volantes en un horno microondas. Estos materiales presentan un desarrollo de la porosidad limitado, y han sido empleados para la eliminación de H2S.
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EDSS-maintenance prototype: an environmental decision support system to assess the definition of operation and maintenance protocols for horizontal subsurface constructed wetlandsTuron Planella, Clàudia 19 January 2007 (has links)
Els Sistemes d'Aiguamolls Construïts (SAC) de Flux Subsuperficial Horitzontal (FSH) és una tecnologia apropiada pel sanejament d'aigües residuals procedents de nuclis de població petits. No obstant els SAC de FSH són considerats una tecnologia natural, l'operació i manteniment d'aquestes depuradores és crucial per a garantir el seu correcte funcionament. Aquestes necessitats d'operació i manteniment varien entre depuradores segons (1) les característiques de la comunitat, (2) la configuració de la depuradora i el disseny del SAC de FSH i (3) les característiques del medi receptor. En aquest sentit, en aquesta tesi es presenta el desenvolupament d'un Sistema d'Ajuda a la Decisió (SAD) per a la definició de protocols d'operació i manteniment per a SAC de FSH tenint en compte els factors que causen variabilitat entre aquest tipus de depuradores (1, 2 i 3). / Horizontal Subsurface Constructed Wetlands (HSCW) is an appropriate technology to treat wastewater coming from small communities. Despite HSCW is considered a natural technology, operation and maintenance are crucial to guarantee their performance. These necessities vary according to (1) the characteristics of the community, (2) the wastewater treatment plant configuration and the HSCW design and (3) the characteristics of the receiving media. In this sense, the this thesis presents the development of an Environmental Decision Support System (EDSS) to asses the definition of operation and maintenance protocols for HSCW taking into account the aspects that cause variability among these facilities (1, 2 and 3).
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Control and optimization of an SBR for nitrogen removal: from model calibration to plant operationCorominas Tabares, Lluís 19 May 2006 (has links)
En aquesta tesis s'ha desenvolupat un sistema de control capaç d'optimitzar el funcionament dels Reactors Discontinus Seqüencials dins el camp de l'eliminació de matèria orgànica i nitrogen de les aigües residuals. El sistema de control permet ajustar en línia la durada de les etapes de reacció a partir de mesures directes o indirectes de sondes. En una primera etapa de la tesis s'ha estudiat la calibració de models matemàtics que permeten realitzar fàcilment provatures de diferents estratègies de control. A partir de l'anàlisis de dades històriques s'han plantejat diferents opcions per controlar l'SBR i les més convenients s'han provat mitjançant simulació. Després d'assegurar l'èxit de l'estratègia de control mitjançant simulacions s'ha implementat en una planta semi-industrial. Finalment es planteja l'estructura d'uns sistema supervisor encarregat de controlar el funcionament de l'SBR no només a nivell de fases sinó també a nivell cicle. / In this Thesis a control system has been developed which permits optimizing the performance of the Sequencing Batch Reactors (SBR) within the field of organic matter and nitrogen removal from the wastewater. This control system is based on the on-line adjustment of the length of the reaction phases using directly or indirectly the data acquired from the sensors. In a first stage of the Thesis the calibration of the activated sludge models is studied what permits obtaining models for testing different operating and control strategies. From the analysis of historical data several options for controlling the SBR are obtained and most suitable is tested using a simulation approach. Afterwards, the control strategy is implemented in a semi-industrial plant obtaining promising results. Finally, a proposal for a supervisory control system is presented which can be in charge of controlling the performance of the SBR not only at a phase level but also at cycle level.
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Les failles dans la prédiction des troubles de comportements externalisés et internalisés à la période préscolaire : l'utilité des résidus standardisés dans l'identification de sous-groupes hétérogènesBouchard, Carl January 2008 (has links)
Thèse numérisée par la Division de la gestion de documents et des archives de l'Université de Montréal.
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Modelos de regressão simplex: resíduos de Pearson corrigidos e aplicações / Simplex regression models:corrected Pearson residuals and applicationsSantos, Lucimary Afonso dos 02 September 2011 (has links)
A distribuição simplex, proposta por Barndor-Nielsen e Jørgensen (1991) é útil para a modelagem de dados contínuos no intervalo (0,1). Nesse trabalho, desenvolve-se o modelo de regressão simplex considerando-se ´ = h(X; ¯), sendo h(:; :) uma função arbitr ária. Denem-se os resíduos para o modelo considerado e obtêm-se correções assintóticas para resíduos do tipo Ri. A primeira correção proposta baseou-se na obtenção da expressão assintótica para a densidade dos resíduos de Pearson, corrigidos até ordem O(n¡1). Esses resíduos foram denidos de forma a terem a mesma distribuição dos resíduos verdadeiros de Pearson. Estudos de simulação mostraram que a distribuição empírica dos resíduos corrigidos pela densidade encontra-se mais próxima da distribuição dos verdadeiros resíduos de Pearson do que para o resíduo não corrigido de Pearson. A segunda correção proposta considera o método dos momentos. Geralmente, E(Ri) e Var(Ri) são diferentes de zero e um, respectivamente, por termos de ordem O(n¡1). Usando-se os resultados de Cox e Snell (1968), obtiveram-se as expressões aproximadas de ordem O(n¡1) para E(Ri) e Var(Ri). Um estudo de simulação está sendo realizado para avaliação da técnica proposta. A técnica desenvolvida no primeiro estudo, foi aplicada a dois conjuntos de dados, sendo o primeiro deles, dados sobre oxidação de amônia, considerando-se preditor linear e o outro sobre porcentagem de massa seca (MS) em grãos de milho, considerando-se preditor linear e não linear. Os resultados obtidos para os dados de oxidação de amônia, indicaram que o modelo com preditor linear está bem ajustado aos dados, considerando-se a exclusão de alguns possíveis pontos inuentes, sendo que a correção proposta, para a densidade dos resíduos, apresenta os melhores resultados. Observando-se os resultados para os dados de massa seca, os melhores resultados foram obtidos, considerando-se um dos modelos com preditor não linear. / The simplex distribution, proposed by Barndor-Nielsen e Jørgensen (1991) is useful for modeling continuous data in the (0,1) interval. In this work, we developed the simplex regression model, considering ´ = h(X; ¯), where h(:; :) is an arbitrary function. We dened the residuals to this model and obtained asymptotic corrections to residuals of the type Ri. The rst correction proposed, was based in obtaining the asymptotic expression for the density of Pearson residuals, corrected to order O(n¡1). These residuals were dened in order to have the same distribution of true Pearson residuals. Simulation studies showed that the empirical distribution of the modied residuals is closer to the distribution of the true Pearson residuals than the unmodied Pearson residuals. The second one, considers the method of moments. Generally E(Ri) and Var(Ri) are dierent from zero and one, respectively, by terms of order O(n¡1). Using the results of Cox and Snell (1968), we obtained the approximate expressions of order O(n¡1) for E(Ri) and Var(Ri). A simulation study is being conducted to evaluate the proposed technique. We applied the techniques in two data sets, the rst one, is a dataset of ammonia oxidation, considering linear predictor and the other one was the percentage of dry matter in maize, considering linear predictor and nonlinear. The results obtained for the oxidation ammonia data indicated that the model considering linear predictor, tted well to the data, if we consider the exclusion of some possible inuential points. The proposed correction for the density of Pearson residuals, showed better results. Observing the results for the dry matter data, the best results were obtained for a model with a specied nonlinear predictor.
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Análise comparativa de métodos de recuperação de emissividade com dados do infravermelho termal do sensor AsterBecerra Rondón, Adriana Coromoto January 2017 (has links)
A emissividade da superfície terrestre (EST) é uma propriedade importante na caracterização de alvos através do Sensoriamento Remoto (SR). A estimativa da EST envolve a aplicação de uma função indeterminada de várias variáveis em dados de radiância contaminados por uma atmosfera de complexa modelagem. Dunas, em geral, são compostas por quartzo, cujo comportamento emissivo é bem caracterizado com sensores que operam entre 8–12μm. Neste trabalho foram avaliados 4 métodos de recuperação de temperatura-emissividade a partir de dados de radiância corrigida dos efeitos atmosféricos. Os quatro métodos foram aplicados em dados do subsistema do infravermelho termal (TIR) do sensor ASTER e são: Método da Emissividade Normalizada (MEN), Método da Banda de Referência (MBR), Separação de Emissividade e Temperatura (TES) e Resíduos Alpha (α-Residual). Foram geradas imagens de emissividade, cujas amostras puras (controle) de quartzo foram comparadas com uma curva homóloga da biblioteca espectral do Laboratório de Sensoriamento Remoto do Centro Estadual de Pesquisas em Sensoriamento Remoto e Meteorologia da Universidade Federal do Rio Grande do Sul (UFRGS). Neste trabalho, os métodos foram comparados pelas diferenças na emissividade média, temperatura média de uma imagem ASTER e geometria da curva através de seus valores alphas. Obteve-se como resultado que o método TES apresentou uma emissividade média absoluta maior em relação ao MEN e MBR. A temperatura média para métodos MEN e MBR foi de 35,18ºC, TES de 30,10ºC e o α-Residual não gerou um valor de temperatura, pois não considera esta variável na estimativa do espectro alpha. A geometria da curva do método TES foi a mais próxima da curva espectral de referência. Os métodos comparados neste trabalho não obtiveram um desempenho quantitativo dentro dos limiares certos, é dizer no intervalo de emissividade de um quartzo a 29ºC. Os métodos neste trabalho tiveram uma tendência a superestimar os valores de temperatura e consequentemente os valores de emissividade, devido a uma correção atmosférica inexata em condições de alta umidade, suposições iniciais (emissividade) com grande erro, heterogeneidade do alvo. Em contrapartida se obteve bom desempenho na individualização dos campos de dunas preservando a forma da curva espectral (geometria) do quartzo. / The land surface emissivity (LSE) is an important property in the characterization of targets through Remote Sensing (RS). The estimation of LSE involves the application of an indeterminate function of several variables in radiance data contaminated by an atmosphere of complex modeling. In general, sand dunes are composed of quartz, whose spectral behavior is well characterized with sensors operating between 8-12μm. In this work, four methods of temperature-emissivity recovery were evaluated from atmospheric effects corrected radiance data. The four methods were applied to data from the thermal infrared (TIR) subsystem of the ASTER sensor, and they are: Normalization Emissivity Method (NEM), Reference Channel Method (RCM), Temperature Emissivity Separation (TES) and Alpha Residuals Method (α- Residual). Emissivity images were generated, whose pure quartz samples (control) were compared to a homologous curve of the spectral library of the Remote Sensing Laboratory of the State Center for Remote Sensing and Meteorology Research at the Federal University of Rio Grande do Sul (UFRGS). In this study, the methods were compared by differences in mean emissivity, mean temperature of ASTER image and curve geometry through their alpha values. As a result, the TES method presented a higher mean absolute emissivity, in relation to NEM and RCM. The mean temperature for NEM and RCM methods was 35.18 °C, TES was 30.10 °C and α-Residuals did not generate a temperature value, since it does not consider this variable in the estimation of the alpha spectrum. The geometry of the TES method curve was the closest to the reference spectral curve. The methods compared in this work did not obtain a quantitative performance within the certain thresholds, in the emissivity range of a quartz at 29 °C. The methods tend to overestimate the temperature values and consequently the emissivity values due to an inaccurate atmospheric correction under conditions of high humidity, initial assumptions (emissivity) with great error, heterogeneity of the target. In contrast, a good performance was obtained in the individualization of the dune fields, preserving the shape of the spectral curve (geometry) of the quartz.
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