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This short episode shows how a complicated truth table can be clarified by using “don’t cares” to represent input values.

<p> We address a functional analysis-based method for the estimation of driving-forces from nonlinear dynamic systems in this thesis. The driving-forces account for the perturbation inputs or the irregular variations in the internal variables of a dynamic system. These inputs are hidden from the observer most of the time if not always. Reconstruction of such inputs when there is too little or no prior knowledge to build a mathematical model to describe the system's behavior is an important problem in many cases in physics and engineering. To this end, we propose a method for the recursive estimation of driving-forces without the availability of an analytic model of the unknown physical phenomenon. </p> <p> The underlying idea of the proposed estimator is to predict the observables onestep ahead of the current time instant, and then retrieve the driving-force from the prediction error. This idea is embodied by predicting the observables using a bank of echo state networks (ESN) in an online fashion, extracting the raw estimates from the prediction error, and then finally smoothing these estimates in separate adaptive filtering stages. The approach described herein distinguishes itself from the similar methods in the literature in its adaptivity and its greater immunity against varying environmental uncertainties. The adaptive nature of the estimator enables us to retrieve both slowly and rapidly varying driving-forces accurately in presence of model or sensor noises, which are illustrated by experiments in the subsequent chapters of this thesis. In particular, some chaotic/stochastic nonlinear models are studied in controlled experiments. The estimation quality of the proposed approach is judged with a reference to the Posterior Cramer-Rao Lower Bound as a theoretical lower limit on the estimation error. </p> <p> The Bayesian and Maximum-Likelihood (ML) methods are also studied for the estimation of driving-forces when partial or full information is available on the mathematical description of the unknown system. These methods serve as practical merits of assessment for the proposed driving-force estimator. Moreover, a direct performance comparison between the proposed estimator and a favorable estimation scheme of a similar kind is provided, which confirms the advantages of the proposed approach. The proposed method is tested on a real-world application on the extraction of sun's magnetic flux from the sunspot time series. It is illustrated that the results obtained by the proposed estimator are in close agreement with the results of two other analytical studies. </p> <p> Finally, a solution to a real problem in practice is proposed using the method. Specifically, extracting the signature of a small random target embedded in the sea surface is addressed using the live recorded data collected with the McMaster IPIX radar. This is the first specific realization of a radar scene analyzer for the cognitive radar reception in the literature to the author's best knowledge. </p> <p> The material in this thesis is presented in a sandwich thesis format, combining two peer reviewed, published journal articles, and another journal article that is prepared for submission. An additional chapter that provides the background material is included for the completeness of the presentation. </p> / Thesis / Doctor of Philosophy (PhD)

yes / We studied the spatial arrangement of L- and M-cone driven electroretinograms (ERGs) reflecting the activity of magno- and parvocellular pathways. L- and M-cone isolating sine wave stimuli were created with a four primary LED stimulator using triple silent substitution paradigms. Temporal frequencies were 8 and 12 Hz, to reflect cone opponent activity, and 30, 36 and 48 Hz to reflect luminance activity. The responses were measured for full-field stimuli and for different circular and annular stimuli. The ERG data confirm the presence of two different mechanisms at intermediate and high temporal frequencies. The responses measured at high temporal frequencies strongly depended upon spatial stimulus configuration. In the full-field conditions, the L-cone driven responses were substantially larger than the full-field M-cone driven responses and also than the L-cone driven responses with smaller stimuli. The M-cone driven responses at full-field and with 70° diameter stimuli displayed similar amplitudes. The L- and M-cone driven responses measured at 8 and 12 Hz were of similar amplitude and approximately in counter-phase. The amplitudes were constant for most stimulus configurations. The results indicate that, when the ERG reflects luminance activity, it is positively correlated with stimulus size. Beyond 35° retinal eccentricity, the retina mainly contains L-cones. Small stimuli are sufficient to obtain maximal ERGs at low temporal frequencies where the ERGs are also sensitive to cone-opponent processing

No / Beamforming is used to achieve diversity gain. It is a technique in diversity to remedy power penalty due to channel fading. The beam-weights for multi-antenna system are evaluated for two different approaches. These weights are then used to weight the signal beams of each transmit antenna branch. Results reveal that by exploiting the transmit channel substructures exposed by the singular vector decomposition algorithm, the capacity of a multi-antenna system can be enhanced.

Thesis deals with Datalogger with Ethernet interface controlled by DISCOVERY Kit STM32F429. Datalogger is equipped with eight digital inputs and three analogue inputs. The measured data are saved on the SD card. The Ethernet interface module is designed using LAN8720A from Microchip.

Master of Science / Department of Agronomy / Kraig Roozeboom / High soybean [Glycine max.] commodity prices in recent years have led to an increase in use of yield enhancing and protecting products. These products need to be evaluated to determine if the use of multiple inputs has a positive impact on yield and how these inputs interact with agronomic practices. The objectives of this study were to evaluate products individually and collectively in input systems, examine interactions between varieties and input systems (IS), seeding rates (SR) and IS, and row spacing (RS) and IS. Field experiments were conducted at high-yielding locations in Kansas and Minnesota in 2012 to 2014 to meet these objectives. Sixteen treatments consisting of individual inputs and inputs combined in systems were evaluated in one experiment. A second experiment evaluated the variety by IS interaction by constructing 18 treatments from a factorial combination of six glyphosate [N-(phosphonomethyl) glycine] resistant varieties and three IS’s: untreated control (UTC), SOYA (combination of possible yield-enhancing products representative of those currently being marketed), and SOYA minus foliar fungicide (SOYA – foliar F). A third experiment evaluated the SR by IS interaction by constructing 12 treatments from a factorial arrangement of six SR’s and two IS’s: UTC and SOYA. A fourth experiment evaluated the RS by IS interaction by constructing 12 treatments from a factorial arrangement of three RS’s and four IS’s: UTC, fungicide and insecticide seed treatment plus foliar fungicide (STFF), SOYA, and SOYA – foliar F. Very few interactions between IS and agronomic practices were detected in any of the experiments. Varieties had an effect on multiple growth parameters but yield differences were marginal; linear-plateau and non-linear models found that seeding rates that maximized yield in this study were similar to University recommendations; and in general, narrow rows produced the greatest yields. The use of inputs and IS’s typically increased seed mass and yield above the UTC across all experiments. However, given current costs and soybean prices, yield response to IS’s was not great enough to cover the additional costs. Overall, it appears producers would be better served by focusing on agronomic practices rather than implementing input systems.

Mémoire numérisé par la Division de la gestion de documents et des archives de l'Université de Montréal.

Comme dans les pays du Nord riches, il y a également une augmentation de la production de déchets organiques dans les pays du Sud moins avancés. Connues sous l'appellation de Matières Organiques Exogènes (MOEx), les déchets organiques peuvent être valorisables comme engrais ou amendement pour les sols agricoles ou bien une nouvelle source de biomasse pour la production d'énergie. L'utilisation raisonnée d'une MOEx exige toutefois une connaissance scientifique approfondie de leur nature et de leurs impacts sur l'environnement. Des analyses conventionnelles en laboratoire et des expérimentations doivent être effectués pour maîtriser leur structure complexe liée à leurs propriétés physiques, chimiques et biochimiques. Celles-ci sont généralement longues et onéreuses. Dans notre étude, la spectroscopie proche infrarouge (SPIR) a été choisie comme une alternative aux méthodes classiques pour la caractérisation de ces MOEx en milieu tropical humide. Les objectifs de notre travail sont (1) de montrer que la SPIR est une méthode appropriée pour la prédiction des caractéristiques de MOEx, (2) pour caractériser les MOEx en termes de leur potentiel agronomique et leur potentiel énergétique et (3) pour élaborer une typologie, construite à partir des données prédites par la SPIR, qui prend en compte quelques impacts négatifs liés à l'utilisation des MOEx. L'ensemble des données a inclus plus de 2000 échantillons de MOEx couvrant une large gamme de MOEx fraîches ou transformées issues de l'élevage, de la ville et des agroindustries. Le spectre SPIR de chaque EOM a été acquis. En plus des caractérisations classiques de laboratoire (les dosages de carbone, azote, phosphore, potassium, etc.), d'autres expérimentations ont été conduites en vue d’évaluer (1) les potentiels « positifs » des MOEx : (i) suivi de la minéralisation du carbone et de l'azote mesurée dans des conditions contrôlées pour une valorisation agronomique, (ii) détermination du pouvoir calorifique et du potentiel méthanogène pour une valorisation énergétique ; et (2) les potentiels « négatifs » des MOEx : (i) dénitrification potentielle et (ii) phytotoxicité en présence d’éléments trace métallique. Pour élaborer la typologie, la méthode SIRIS (Système d'Ingration des Risques par Interaction des Scores) a été appliquée pour formaliser les étapes d'une procédure logique menant à une classification des MOEx selon l'objectif de l'orientation de recyclage. La diversité des MOEx est illustrée à titre d'exemple par une large gamme des teneurs en (i) C (de 2 à 64 gC.100g-1MS), (ii) N (de 0,2 à 14gN.100g-1MS), (iii) P total (0,01 à 16gP.100g-1MS), K total (0,04 à 30 gK.100g-1MS). En prenant en compte l'ensemble des MOEx, les étalonnages des modèles SPIR sont acceptables pour la prédiction des teneurs en C, en N, en P et en K. Pour les potentiels « positifs » des MOEx (1) suivant les types de MOEx 102 à 955 kgMO.t-1MOEx pourraient être stockées dans le sol pour le maintien de la fertilité, (2) les pouvoirs calorifiques des MOEx varient de 7 à 28 MJ.kg-1MS et les potentiels méthanogènes vont de 69 à 488 NmlCH4.g-1MO. Quant aux potentiels négatifs, que ce soit pour les émissions de N2O ou pour la phytotoxicité des ETM, une forte interaction entre les propriétés du sol (pH, texture, …) avec les MOEx masque souvent certains effets. La méthode SIRIS a permis de classifier les MOEx selon un processus simple basé sur le classement de critères et de scores d'auto-pénalisation. Cette approche est intéressante en l'absence de données précises qui sont souvent difficiles à obtenir. L'aide des prédictions par la SPIR nous a été utile pour cette démarche d'orientation de la valorisation agronomique et/ou énergétique des MOEx. Des approches socio-économiques devraient compléter notre étude pour aboutir à l'orientation finale de valorisation des MOEx. / As observed in northern/rich countries, there is an increase in the production of organic wastes in southern/less advanced countries. So called, Exogenous Organic Matter (EOM), they can be a valuable fertilizer or amendment for agricultural soils or a new supply for energy production. The safe utilisation of EOM requires an in-depth scientific knowledge of their nature and impacts on the environment. Laboratory analysis and experiments have to be carried out in order to know their complex structure related to their physical, chemical and biochemical properties. These techniques represent a relatively high cost and are time consuming. In this study, the near infrared spectroscopy (NIRS) was chosen as an alternative to classical methods for laboratory characterisations of tropical EOM. The objectives of this study are (1) to show that NIRS is a suitable method for predicting EOM characteristics (2) to characterize EOM in terms of their agronomic potential and/or energetic potential, and (3) to elaborate a typology, build with predicted parameters by NIRS, taking into account some environmental impacts of the different utilisations of EOM.The dataset included more than 2000 EOM samples covering a broad range of fresh and transformed organic materials. Each EOM was scanned using a NIR spectrometer from 1100nm to 2500nm. In addition to the classical laboratory characterisations (dosages of total carbon, nitrogen, phosphorus, potassium), other experiments have been carried out: (1) for “positive” potentials: (i) C and N mineralization measured in controlled conditions (for an agronomic use), (ii) determination of High Heating Value and Biochemical Methane Potential (for an energetic use) and (2) for “negative” potential or risk: phytotoxicity assessment due to trace elements, and the determination of potential nitrous oxide emission. To elaborate the typology, the SIRIS method (System of Integration of Risk with Interaction of Scores) was carried out in order to formalize the steps of a logical procedure, leading to a decision according to objective of the recycling orientation.Diversity of EOM is illustrated by the variability of (i) C contents (from 2 to 64 gC.100g-1DM); (ii) N contents (from 0.2 to 14gN.100g-1DM); (iii) total P contents (from 0.01 to 16gP.100g-1DM),(iv) total K contents (from 0.04 to 30 gK.100g-1DM). When taking into account all EOM without regarding their nature, acceptable predictive models were obtained with NIRS calibration for estimating C, N, total P and total K contents for EOM.“Positive” potential assessment provided information about (1) remaining organic carbon might be stocked into soil after applying EOM (from 102 to 955 kg.t-1TOM) (2) High Heating Value of EOM when recycling as a supply of small scale combustion or thermo chemical conversion (from 7 to 28 MJ.kg-1DM), (3) Biochemical Methane Potential after EOM anaerobic digestion (from 69 to 488 NmlCH4.g-1TOM). Both “negative” potential which took into account phytotoxicity due to trace elements and nitrous oxide emissions were highly interacted on the soil properties (pH, texture). The SIRIS method appeared to be an efficient decision-making tool in this study. It made it possible to classify the EOM according to a simple process based on the ranking of criteria and a self-penalization scoring system. This approach can be used in the absence of accurate, reliable data, which are often difficult to obtain. The help of NIR prediction was useful for better orientate the EOM valorization between soil fertilization and energy production. Further concern will be focused on socio-economical approach in order to complete the final destination of EOM re-use.

Os distribuidores de insumos têm desempenhado um papel importante na comercialização e distribuição de insumos aos consumidores finais (agricultores). Além de vender os insumos, essas empresas são fornecedores de serviços importantes e também participam no processo de desenvolvimento de novas tecnologias, conhecimento de mercado e, especialmente, de fornecimento de crédito. O planejamento é necessário para que o futuro seja levado em consideração, e o sistema de gestão é essencial na organização, tornando-se um diferencial competitivo e uma ferramenta de sucesso na implementação de estratégias. O diagnóstico das práticas de gestão nos canais de distribuição de insumos permite identificar os principais pontos de melhoria, e esses merecerão todos os esforços de tempo e investimento dos gestores. O presente trabalho busca responder à seguinte pergunta: como fomentar o processo de planejamento estratégico de um canal de distribuição de insumos agrícolas utilizando projetos previamente estruturados que podem ser aplicados dependendo do nível de gestão encontrado no canal? Para tanto, lança mão de uma pesquisa exploratória qualitativa que analisa cinco estudos de casos. Como resultado, foi proposto um modelo de classificação do nível de gestão de canais de distribuição de insumos agrícolas que subsidiou as análises dos projetos estratégicos relacionados com o nível de gestão existente no canal; e também uma gama de projetos estratégicos previamente pensados em função do nível de gestão. Percebe-se uma lacuna na proposição dos projetos estratégicos e o nível de gestão, sendo importante que no exercício do planejamento estratégico, tenha-se o conhecimento prévio desse. / Agricultural input dealers play an important role in the commercialization and distribution of the inputs to final users (growers). Besides selling inputs, these companies supply important services and participate in the development of new technologies, in sharing market knowledge and specially in funding growers\' activities. Planning is necessary to bring light to the future while the management system is essential for the organization, becoming a competitive advantage and a successful tool for the implementation of the strategy. The diagnosis of management practices in input dealers allows identifying the main improvement points which should deserve time spending and investment by the firms\' managers. This research aims to address the following question: how to promote the strategic planning process of an agricultural input dealer by using previously structured projects that could be applied based on the level of management standard? In order to do so, this qualitative and exploratory research analyzed five case studies. It resulted on a framework for classifying the level of management standard of agricultural input dealers, which was used to analyze the strategic projects related to the existing management standard of each dealer. It also resulted on a range of strategic projects previously thought according to the level of management standard. It became evident that there is a gap between the proposed strategic projects and the level of management standard, being important that managers have a previous knowledge of such level for planning the firm\'s strategies.