981 resultados para Pineapple scenario
Resumo:
Nitrous oxide (N2O) is a potent greenhouse gas with a global warming potential 298 times higher than carbon dioxide. Soils are a natural source of N2O, contributing 65% of global emissions. This paper is the first in Australia to measure and compare N2O emissions from pre-plant controlled release (CR) and conventional granular (CV) fertilisers in pineapple production using static PVC chambers to capture N2O emissions. Farm 1 cumulative emissions from the CR fertiliser were 3.22 kg ha-1 compared to 6.09 kg ha-1 produced by the CV. At farm 2 the CV blend emitted 2.36 kg ha-1 in comparison to the CR blend of 2.92 kg ha-1. Daily N2O flux rates showed a relationship of direct response to rainfall and soil moisture availability. High emissions were observed for wheel tracks where increased N2O emissions may be linked to soil compaction and waterlogging that creates anaerobic conditions after rain events. Emission measurements over three months highlighted the inconsistencies found in other studies relative to reducing emissions through controlled release nitrogen. More investigations are required to verify the benefits associated with controlled release fertiliser use in pineapples, placement and seasonal timing to address N2O emissions in pineapples.
Resumo:
Changes in the circumstances of the Australian pineapple industry left growers with a leadership vacuum, limited technical support and no funds for conducting research and marketing. Inspirational leadership training together with regular district farm meetings were used to assist the Australian pineapple industry to successfully adapt to these challenges. All growers were assigned to one of a number of regional grower study groups and regular on-farm meetings commenced to facilitate communication between growers, transfer of technology, awareness of industry affairs and an opportunity to become involved in industry business. A leader was appointed within each study group and these leaders attended a leadership course consisting of three, three-day modules. These original course graduates formed the nucleus of a new grower representative group which subsequently instigated levies to fund research and marketing. Two more courses have since been conducted to provide the depth of leadership to satisfy the growers' desire to rotate industry leadership on a regular basis.
Resumo:
This study answers to How scenario analysis could help acquiring companies to reduce uncertainty in the acquisition process? It is due to the mismatch between academic world’s caveat emptor and business world’s eagerness to pursue acquisitions that motivated this study. Acquisitions are as popular as ever, thus, managing the uncertainty surrounding these transactions is relevant. This study creates a generic theoretical model with a strategy-level scope. Thus, the study does not discuss nor does it seek answers to operational issues related in both fields. This study is explorative and constructivist in nature. It discusses briefly the concepts and relatedness of risk and uncertainty and establishes a hierarchy between these two: Risks being a “sub-section” of uncertainty, although not with clear boundaries. Acquisition theory follows the process view that understands acquisitions as a process with various levels – some strategic, some operational. Scenario analysis is presented as tool for management to enrich their strategic discussion and understand their future options. The empirical data collection is done through interviewing. The results are reflected on literature on strategic management, scenario literature, and on a consultancy’s report picturing firm’s strategies in accordance with their acquisition processes. The study has an abductive approach as it tries to combine multiple views and generates discussion between literature review, interviews, the report, and second round of literature. The model suggests three propositions: First, at the strategic decision making level, when the decision whether or not to pursue an acquisition growth strategy has been made, it provides firms new data and enriches the strategic discussion. Second, when the acquisition strategy has been created, it can be applied as a tool to measure possible acquisition targets against the backdrop of the first set of scenarios. Third, due to the scenario analysis’ requirement to include people with various backgrounds and from multiple levels of the corporate hierarchy, it could help managers to avoid biases stemming from hubris.
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No doubt shall be placed when qualifying torture as one of the cruellest crime offences against human beings. It is widely known that the first torture practices go back to the Middle Ages, where torture mechanisms and devices were used as a legitimate means of punishment, extraction of confessions or executions. Brutal techniques such as ‘Judas Cradle’, ‘The Rack’ or the ‘Rat Torture’ were indeed, the ones commonly used. Moreover, some centuries onwards, torture warrants were permitted and authorised by Privy Councils in legislations such as the English one. However, examples like that were the only ones which public accountability was given to, whereas off-the-book practices remained in silence in other countries for long lasting years. Nowadays, in the 21st century, there are innumerable enforced laws and provisions that prohibit the act of torture, to be precise, physical and psychological torture. Nonetheless, not only are these legislations necessary for fighting torture, but also ad hoc courts and specialised committees continuously report the existence of this crime offence.
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As unmanned autonomous vehicles (UAVs) are being widely utilized in military and civil applications, concerns are growing about mission safety and how to integrate dierent phases of mission design. One important barrier to a coste ective and timely safety certication process for UAVs is the lack of a systematic approach for bridging the gap between understanding high-level commander/pilot intent and implementation of intent through low-level UAV behaviors. In this thesis we demonstrate an entire systems design process for a representative UAV mission, beginning from an operational concept and requirements and ending with a simulation framework for segments of the mission design, such as path planning and decision making in collision avoidance. In this thesis, we divided this complex system into sub-systems; path planning, collision detection and collision avoidance. We then developed software modules for each sub-system
Resumo:
The purpose of this study was to evaluate the response of the Champaka pineapple to inoculation with the diazotrophic bacterium Asaia bogorensis (strain 219) when grown with organic fertilizer in an irrigated sapota orchard. Plantlets were transplanted to tubes containing a mixture of worm compost and vermiculite and inoculated with 108 bacterial cells. After five and a half months of acclimatization the plantlets were transplanted in furrows in the sapota orchard. Fertilizer was placed at the bottom of the furrows and covered with three doses (2.5; 5.0 and 7.5 L linear m−1 row) of three organic composts. The successful association of the plantlets with the diazo-trophic bacterium was confirmed by most probable number analysis before transferring to the field. Plants inoculated with strain AB219 showed the greatest initial leaf growth and produced the heaviest fruits compared to uninoculated plants. Plant growth and fruit yield increased with increasing compost dosages. The results suggested that Champaka pineapple benefited from the association of A. bogorensis (strain 219) when grown under irrigation and with organic fertilizer.
Development of new scenario decomposition techniques for linear and nonlinear stochastic programming
Resumo:
Une approche classique pour traiter les problèmes d’optimisation avec incertitude à deux- et multi-étapes est d’utiliser l’analyse par scénario. Pour ce faire, l’incertitude de certaines données du problème est modélisée par vecteurs aléatoires avec des supports finis spécifiques aux étapes. Chacune de ces réalisations représente un scénario. En utilisant des scénarios, il est possible d’étudier des versions plus simples (sous-problèmes) du problème original. Comme technique de décomposition par scénario, l’algorithme de recouvrement progressif est une des méthodes les plus populaires pour résoudre les problèmes de programmation stochastique multi-étapes. Malgré la décomposition complète par scénario, l’efficacité de la méthode du recouvrement progressif est très sensible à certains aspects pratiques, tels que le choix du paramètre de pénalisation et la manipulation du terme quadratique dans la fonction objectif du lagrangien augmenté. Pour le choix du paramètre de pénalisation, nous examinons quelques-unes des méthodes populaires, et nous proposons une nouvelle stratégie adaptive qui vise à mieux suivre le processus de l’algorithme. Des expériences numériques sur des exemples de problèmes stochastiques linéaires multi-étapes suggèrent que la plupart des techniques existantes peuvent présenter une convergence prématurée à une solution sous-optimale ou converger vers la solution optimale, mais avec un taux très lent. En revanche, la nouvelle stratégie paraît robuste et efficace. Elle a convergé vers l’optimalité dans toutes nos expériences et a été la plus rapide dans la plupart des cas. Pour la question de la manipulation du terme quadratique, nous faisons une revue des techniques existantes et nous proposons l’idée de remplacer le terme quadratique par un terme linéaire. Bien que qu’il nous reste encore à tester notre méthode, nous avons l’intuition qu’elle réduira certaines difficultés numériques et théoriques de la méthode de recouvrement progressif.
Resumo:
The increasing trend of disaster victims globally is posing a complex challenge for disaster management authorities. Moreover, to accomplish successful transition between preparedness and response, it is important to consider the different features inherent to each type of disaster. Floods are portrayed as one of the most frequent and harmful disasters, hence introducing the necessity to develop a tool for disaster preparedness to perform efficient and effective flood management. The purpose of the article is to introduce a method to simultaneously define the proper location of shelters and distribution centers, along with the allocation of prepositioned goods and distribution decisions required to satisfy flood victims. The tool combines the use of a raster geographical information system (GIS) and an optimization model. The GIS determines the flood hazard of the city areas aiming to assess the flood situation and to discard floodable facilities. Then, the multi-commodity multimodal optimization model is solved to obtain the Pareto frontier of two criteria: distance and cost. The methodology was applied to a case study in the flood of Villahermosa, Mexico, in 2007, and the results were compared to an optimized scenario of the guidelines followed by Mexican authorities, concluding that the value of the performance measures was improved using the developed method. Furthermore, the results exhibited the possibility to provide adequate care for people affected with less facilities than the current approach and the advantages of considering more than one distribution center for relief prepositioning.
Development of new scenario decomposition techniques for linear and nonlinear stochastic programming
Resumo:
Une approche classique pour traiter les problèmes d’optimisation avec incertitude à deux- et multi-étapes est d’utiliser l’analyse par scénario. Pour ce faire, l’incertitude de certaines données du problème est modélisée par vecteurs aléatoires avec des supports finis spécifiques aux étapes. Chacune de ces réalisations représente un scénario. En utilisant des scénarios, il est possible d’étudier des versions plus simples (sous-problèmes) du problème original. Comme technique de décomposition par scénario, l’algorithme de recouvrement progressif est une des méthodes les plus populaires pour résoudre les problèmes de programmation stochastique multi-étapes. Malgré la décomposition complète par scénario, l’efficacité de la méthode du recouvrement progressif est très sensible à certains aspects pratiques, tels que le choix du paramètre de pénalisation et la manipulation du terme quadratique dans la fonction objectif du lagrangien augmenté. Pour le choix du paramètre de pénalisation, nous examinons quelques-unes des méthodes populaires, et nous proposons une nouvelle stratégie adaptive qui vise à mieux suivre le processus de l’algorithme. Des expériences numériques sur des exemples de problèmes stochastiques linéaires multi-étapes suggèrent que la plupart des techniques existantes peuvent présenter une convergence prématurée à une solution sous-optimale ou converger vers la solution optimale, mais avec un taux très lent. En revanche, la nouvelle stratégie paraît robuste et efficace. Elle a convergé vers l’optimalité dans toutes nos expériences et a été la plus rapide dans la plupart des cas. Pour la question de la manipulation du terme quadratique, nous faisons une revue des techniques existantes et nous proposons l’idée de remplacer le terme quadratique par un terme linéaire. Bien que qu’il nous reste encore à tester notre méthode, nous avons l’intuition qu’elle réduira certaines difficultés numériques et théoriques de la méthode de recouvrement progressif.
Resumo:
A acidificação dos oceanos constitui uma problemática global e a realidade de que está, efetivamente, a acontecer não é uma consideração subjetiva. A Acidificação dos oceanos provocada por emissões de dióxido de carbono de origem antropogénica tem vindo a reduzir o pH das águas superficiais do Oceano e projeções preveem a continuidade deste processo. Embora muita investigação tenha sido desenvolvida no âmbito dos invertebrados que calcificam, tais como moluscos e crustáceos, poucos consideraram o estudo de efeitos ao nível sub-celular para avaliar stress oxidativo ou respostas funcionais do metabolismo energético em tais condições, interligando vários níveis de organização biológica. O objetivo do presente estudo foi o de avaliar os efeitos da exposição a diferentes níveis-alvo de pCO2 (controlo: 370 μatm; aumentado: 710 μatm) e de pH (controlo: 8.15; reduzido: 7.85) em parâmetros de crescimento bem como avaliar respostas comportamentais e bioquímicas relacionadas com stress oxidativo e metabolismo energético durante o desenvolvimento larvar de um crustáceo decápode. Este cenário de acidificação está de acordo com os RCPs previstos pelo Painel Intergovernamental para as Alterações Climáticas (IPCC, 2014) para o ano 2100. Para o presente estudo, foi utilizado o crustáceo Homarus gammarus (L.) – sendo uma espécie com elevado valor comercial, que tem vindo a sofrer elevada pressão de pesca em águas Europeias. Fêmeas adultas provenientes da costa Atlântica Oeste Portuguesa foram obtidas de um retalhista local. Após a eclosão em ambiente laboratorial controlado, larvas provenientes da mesma progenitora foram expostas às condições acima descritas desde o momento da eclosão até à chegada ao Estádio III. A sobrevivência individual e ocorrência de ecdise foram avaliados individualmente de 12h em 12h. Réplicas de cada tratamento foram recolhidas em momentos específicos durante o Estádio I (primeiro estádio larvar) e Estádio III (último estádio larvar) para análise morfométrica e de crescimento (peso fresco e comprimento carapaça) e respostas bioquímicas. Os biomarcadores analisados incluíram parâmetros relacionados com stress oxidativo e danos (atividade da enzima superóxido dismutase (SOD), peroxidação lipídica (LPO) e danos no DNA) e metabolismo energético (atividade da cadeia transportadora de eletrões (ETS) e da enzima lactato desidrogenase (LDH) e quantificação de Hidratos de Carbono). Os resultados obtidos sugerem que a sobrevivência diminui e que o período inter-muda é afetado durante a exposição a cenários de acidificação. No que respeita aos parâmetros de crescimento/morfométricos, larvas do cenário de acidificação apresentam uma tendência para crescimento diminuído, menor peso e comprimento de carapaça. As análises bioquímicas realizadas indicam a ocorrência de stress oxidativo sob condições de acidificação. Respostas ao nível do metabolismo energético não variaram significativamente entre tratamentos. Os resultados apontam também para que fases larvares possam possuir um sistema antioxidante ainda em desenvolvimento, tornando-as mais suscetíveis ao stress oxidativo. As fases larvares são uma fase vulnerável e crucial no ciclo de vida das espécies, influenciando o recrutamento e a renovação de stocks. Este estudo contribui para um melhor entendimento sobre a vulnerabilidade desta espécie num cenário de alterações climáticas – Acidificação dos oceanos – ao endereçar os mecanismos envolvidos nas respostas deste crustáceo a este agente causador de stress.
Resumo:
Este estudio de caso busca identificar los elementos del portafolio de política exterior de Trinidad y Tobago que le permitieron promover exitosamente sus intereses en el Protocolo de Kioto. Al hacer esto, este texto analizará las limitaciones de Trinidad y Tobago en términos de vulnerabilidades de localización, burocracia y recursos. Posteriormente, una revisión del portafolio de política exterior de este Estado ilustrará el uso de estrategias de creación de capacidades y de organización como lo son el contacto con actores institucionales y no gubernamentales, la formación de coaliciones y estrategias argumentativas, entre otras. Finalmente, este artículo concluirá que dichas acciones permitieron la promoción de la agenda de política exterior de Trinidad y Tobago a través de la creación de hojas de ruta y la coordinación de la incertidumbre con el Protocolo de Kioto. Para hacer esto, este trabajo se concentrará en examinar conceptos como vulnerabilidad y priorización, asimismo contrastando diferentes artículos académicos en la materia junto con documentos oficiales de Trinidad y Tobago.
Resumo:
The topic of this thesis is the design and the implementation of mathematical models and control system algorithms for rotary-wing unmanned aerial vehicles to be used in cooperative scenarios. The use of rotorcrafts has many attractive advantages, since these vehicles have the capability to take-off and land vertically, to hover and to move backward and laterally. Rotary-wing aircraft missions require precise control characteristics due to their unstable and heavy coupling aspects. As a matter of fact, flight test is the most accurate way to evaluate flying qualities and to test control systems. However, it may be very expensive and/or not feasible in case of early stage design and prototyping. A good compromise is made by a preliminary assessment performed by means of simulations and a reduced flight testing campaign. Consequently, having an analytical framework represents an important stage for simulations and control algorithm design. In this work mathematical models for various helicopter configurations are implemented. Different flight control techniques for helicopters are presented with theoretical background and tested via simulations and experimental flight tests on a small-scale unmanned helicopter. The same platform is used also in a cooperative scenario with a rover. Control strategies, algorithms and their implementation to perform missions are presented for two main scenarios. One of the main contributions of this thesis is to propose a suitable control system made by a classical PID baseline controller augmented with L1 adaptive contribution. In addition a complete analytical framework and the study of the dynamics and the stability of a synch-rotor are provided. At last, the implementation of cooperative control strategies for two main scenarios that include a small-scale unmanned helicopter and a rover.
Resumo:
Coastal ecosystems represent an inestimable source of biodiversity, being among the most productive areas on the planet. Despite the great ecological and economic value of those environments, many threats endanger the species living in this ecosystem, like the rapid warming and the sea acidification, among many other. Benthic calcifying organisms (e.g. mollusks, corals and echinoderms) in particular, are among the most exposed to those hazards. These organisms use calcium carbonate as a structural and protective material through the biomineralization process, biologically controlled by the organism, but nevertheless, strongly influenced by the environmental surroundings. Evaluating how a changing environment can influence the process of biomineralization is critical to understand how those species of great ecological and economic importance will face the ongoing climate change. This thesis investigates the mechanism of biomineralization in different mollusks’ species of the Adriatic Sea, providing detailed descriptions of shells skeletal, biometric and growth parameters. Applying a multidisciplinary and multi-scale research approach, the influence of external environmental factors on the process of shell formation has been investigated. To achieve this purpose analysis were conducted both on current populations and on fossil remain, which allows to investigate ecological responses to past climate transitions. Mollusks’ shells in fact are one of the best tools to understand climate change in the past, present and future, since they record the environmental conditions prevailed during their life, reflected on the geochemical properties, microstructure and growth of the shell. This approach allowed to overcome the time scale limit imposed by field and laboratory survey, and better understand species long term adaptive response to changing environment, a crucial issue to define proper conservation and management strategies. Furthermore, the investigation of fossil record of mollusks assemblages offered the opportunity to evaluate the long-term biotic response to anthropogenic stressors in the north Adriatic Sea.
Resumo:
La disponibilità di connessioni a internet poco costose ed affidabili rappresenta un lusso in molti paesi in via di sviluppo e in zone rurali di nazioni sviluppate. L’utilizzo di nuove tecnologie come le blockchain risulta quindi difficile in queste aree, per quanto esse trarrebbero certamente beneficio dalla disponibilità di sistemi di pagamento digitali, decentralizzati e tolleranti ai guasti; inoltre l’uso delle blockchain in zone rurali potrebbe rendere l’abitabilità di tali aree maggiormente appetibile. Una possibile soluzione è costituita dalle blockchain locali, ossia catene a servizio di una ristretta area geografica in cui è disponibile solamente una rete locale, da cui potrebbero ricevere vantaggio sia paesi in via di sviluppo, sia scenari industriali dove si necessiti di blockchain il cui accesso debba avvenire solamente dall’interno dell’intranet aziendale. L’utilità delle blockchain locali risulterebbe tuttavia limitata qualora questi sistemi rimanessero totalmente isolati dal mondo esterno. Utilizzando tecnologie che permettono l’interoperabilità tra blockchain è però possibile interconnettere questi sistemi, rendendo possibile il trasferimento di asset tra diverse chain. Le particolarità degli scenari ipotizzati lasciano però spazio ad alcune vulnerabilità, che, se sfruttate, possono condurre ad attacchi ai danni degli utenti e dell’economia delle blockchain locali. Per risolvere le problematiche individuate, sono stati quindi discussi ed implementati una serie di requisiti per la messa in sicurezza del sistema.
Resumo:
Il seguente elaborato di tesi prevede la simulazione del comportamento di quattro diversi layout di magazzino contenenti lo stesso numero di vani, ipotizzando uno stoccaggio della merce secondo il criterio delle classi. Inoltre è stata analizzata l’influenza della variabile altezza sul tempo di ciclo dei singoli magazzini. I quattro layout analizzati sono stati: il layout tradizionale, il layout diagonal cross aisle, il layout fishbone e il layout leaf. Il primo è un magazzino “convenzionale”, nel quale l’intersezione dei corridoi genera sempre angoli retti, i restanti tre sono magazzini “non convenzionali”, ovvero l’intersezione dei corridoi genera angoli particolari. Per ciascun magazzino è stato realizzato un modello matematico discreto in grado di determinare la posizione di ogni singolo vano, la sua distanza dal punto I/O e la sua altezza da terra. Il modello matematico e la tipologia di gestione del magazzino sono stati successivamente implementati in un programma scritto su Microsoft Excel, mediante il linguaggio integrato VBA (Visual Basic for Application). Questo ha permesso di determinare i tempi di ciclo medi per ciascun magazzino, facendo il rapporto tra le distanze precedentemente calcolate e le velocità di traslazione e sollevamento del carrello elevatore. Per ottenere dalla simulazioni dei valori il più possibile prossimi alla realtà è stata adottata la metodologia di Simulazione Monte Carlo e un numero di estrazioni pari a 1000. Dai risultati ottenuti è emerso che il magazzino fishbone è in grado di garantire i miglior tempo di ciclo e che i tempi di ciclo più bassi si ottengono, a parità di vani presenti in un magazzino, aumentando le dimensioni in pianta piuttosto che aumentando l’altezza del magazzino.