Diagnosis of a compacted area for mining through the mechanical resistance to the penetration using geostatistical methods in the Amazon Forest

The mining process promotes land modification and complete landscape alteration. Those alterations in the surface are shown more obviously in the aesthetical aspect as the visual elements of form, texture, climbs, complexity and color which composes the landscape. As a consequence, mining has impacts on the topography, in the soil, in the vegetation and in the area's drainage, with a direct influence on the enterprise. A quite common problem in the recovery of degraded areas in mineral exploration is the compaction of the soil due to the intense traffic of machines and earth movement. The most common problem of the compaction of a degraded surface is an increase of the mechanical resistance to the penetration of plant roots, a reduction of the aeration, an alteration of the flow of water and heat, also in the availability of water and nutrients. Thus, the present work had the basic objective of diagnosing the compaction of an area degraded by mining in a spacial way, through the mechanical resistance and the penetration, to guide the future subsoiling in the area requiring recovery. Through the studies, it was concluded that the krigagem method in agreement with the space variation allows the division of the area under study into sub areas facilitating a future work to reduce costs and unnecessary interference to the atmosphere. The method was shown to be quite appropriate and it can be used in the diagnosis of compaction in a degraded area by mining, foreseeing the subsoiling requirement.

Method for estimating railroad track settlements due to dynamic traffic loads

This paper is the result of real-scale physical modeling study designed to simulate the load-deformation characteristics of railroad foundation systems that include the railroad ties, the ballast, and the sub-base layers of a railroad embankment. The study presents comparisons of the application of dynamic loads of 100kN on the rails, and the resulting deformations during a 500,000 cycle testing period for three rail support systems; wood, concrete and steel. The results show that the deformation curve has an exponential shape, with the larger portion of the deformation occurring during the first 50,000 load cycles followed by a tendency to stabilize between 100,000 to 500,000 cycles. These results indicate that the critical phase of deformations of a new railroad is within the first 50,000 cycles of loading, and after that, it slowly attenuates as it approaches a stable value. The paper also presents empirically derived formulations for the estimation of the deformations of the rail supports as a result of rail traffic.

Diagnóstico de uma área compactada por atividade minerária, na floresta amazônica, empregando métodos geoestatísticos à variável resistência mecânica à penetração do solo

A quite common problem in the recovery of degraded areas in the mineral exploration understands the compaction of the soil due to the intense traffic of machines and earth movement. The most common problem of the compaction of a degraded surface is: increase of the mechanical resistance to the penetration of the rooats, reduction of the aeration, alteration of the water flow and heat. Thus the present work had the basic objective of diagnosing the compaction of a degraded area by mining in a space way, through the mechanical resistance the way penetration to guide a future subsoiling in the place seeking recovery. Through the studies it was concluded that the kriging method in agreement with the space variation allows the division of the area studies in sub areas facilitating a future work to reduce cost and unnecessary interference to the atmosphere. The method was shown quite appropriate and it can be used in diagnosis of the compaction in a degraded area by mining, foreseeing subsoiling need.

Detailed study of the seismotectonic setting in the Lucanian Apennines and surrounding areas (Southern Italy)

In this research work I analyzed the instrumental seismicity of Southern Italy in the area including the Lucanian Apennines and Bradano foredeep, making use of the most recent seismological database available so far. I examined the seismicity occurred during the period between 2001 and 2006, considering 514 events with magnitudes M ≥ 2.0. In the first part of the work, P- and S-wave arrival times, recorded by the Italian National Seismic Network (RSNC) operated by the Istituto Nazionale di Geofisica e Vulcanologia (INGV), were re-picked along with those of the SAPTEX temporary array (2001–2004). For some events located in the Upper Val d'Agri, I also used data from the Eni-Agip oil company seismic network. I computed the VP/VS ratio obtaining a value of 1.83 and I carried out an analysis for the one-dimensional (1D) velocity model that approximates the seismic structure of the study area. After this preliminary analysis, making use of the records obtained in the SeSCAL experiment, I incremented the database by handpicking new arrival times. My final dataset consists of 15,666 P- and 9228 S-arrival times associated to 1047 earthquakes with magnitude ML ≥ 1.5. I computed 162 fault-plane solutions and composite focal mechanisms for closely located events. I investigated stress field orientation inverting focal mechanism belonging to the Lucanian Apennine and the Pollino Range, both areas characterized by more concentrated background seismicity. Moreover, I applied the double difference technique (DD) to improve the earthquake locations. Considering these results and different datasets available in the literature, I carried out a detailed analysis of single sub-areas and of a swarm (November 2008) recorded by SeSCAL array. The relocated seismicity appears more concentrated within the upper crust and it is mostly clustered along the Lucanian Apennine chain. In particular, two well-defined clusters were located in the Potentino and in the Abriola-Pietrapertosa sector (central Lucanian region). Their hypocentral depths are slightly deeper than those observed beneath the chain. I suggest that these two seismic features are representative of the transition from the inner portion of the chain with NE-SW extension to the external margin characterized by dextral strike-slip kinematics. In the easternmost part of the study area, below the Bradano foredeep and the Apulia foreland, the seismicity is generally deeper and more scattered and is associated to the Murge uplift and to the small structures present in the area. I also observed a small structure NE-SW oriented in the Abriola-Pietrapertosa area (activated with a swarm in November 2008) that could be considered to act as a barrier to the propagation of a potential rupture of an active NW-SE striking faults system. Focal mechanisms computed in this study are in large part normal and strike-slip solutions and their tensional axes (T-axes) have a generalized NE-SW orientation. Thanks to denser coverage of seismic stations and the detailed analysis, this study is a further contribution to the comprehension of the seismogenesis and state of stress of the Southern Apennines region, giving important contributions to seismotectonic zoning and seismic hazard assessment.

Novel online data cleaning protocols for data streams in trajectory, Wireless Sensor Networks

The promise of Wireless Sensor Networks (WSNs) is the autonomous collaboration of a collection of sensors to accomplish some specific goals which a single sensor cannot offer. Basically, sensor networking serves a range of applications by providing the raw data as fundamentals for further analyses and actions. The imprecision of the collected data could tremendously mislead the decision-making process of sensor-based applications, resulting in an ineffectiveness or failure of the application objectives. Due to inherent WSN characteristics normally spoiling the raw sensor readings, many research efforts attempt to improve the accuracy of the corrupted or "dirty" sensor data. The dirty data need to be cleaned or corrected. However, the developed data cleaning solutions restrict themselves to the scope of static WSNs where deployed sensors would rarely move during the operation. Nowadays, many emerging applications relying on WSNs need the sensor mobility to enhance the application efficiency and usage flexibility. The location of deployed sensors needs to be dynamic. Also, each sensor would independently function and contribute its resources. Sensors equipped with vehicles for monitoring the traffic condition could be depicted as one of the prospective examples. The sensor mobility causes a transient in network topology and correlation among sensor streams. Based on static relationships among sensors, the existing methods for cleaning sensor data in static WSNs are invalid in such mobile scenarios. Therefore, a solution of data cleaning that considers the sensor movements is actively needed. This dissertation aims to improve the quality of sensor data by considering the consequences of various trajectory relationships of autonomous mobile sensors in the system. First of all, we address the dynamic network topology due to sensor mobility. The concept of virtual sensor is presented and used for spatio-temporal selection of neighboring sensors to help in cleaning sensor data streams. This method is one of the first methods to clean data in mobile sensor environments. We also study the mobility pattern of moving sensors relative to boundaries of sub-areas of interest. We developed a belief-based analysis to determine the reliable sets of neighboring sensors to improve the cleaning performance, especially when node density is relatively low. Finally, we design a novel sketch-based technique to clean data from internal sensors where spatio-temporal relationships among sensors cannot lead to the data correlations among sensor streams.

Modelling for the electricity distribution network

Global awareness for cleaner and renewable energy is transforming the electricity sector at many levels. New technologies are being increasingly integrated into the electricity grid at high, medium and low voltage levels, new taxes on carbon emissions are being introduced and individuals can now produce electricity, mainly through rooftop photovoltaic (PV) systems. While leading to improvements, these changes also introduce challenges, and a question that often rises is ‘how can we manage this constantly evolving grid?’ The Queensland Government and Ergon Energy, one of the two Queensland distribution companies, have partnered with some Australian and German universities on a project to answer this question in a holistic manner. The project investigates the impact the integration of renewables and other new technologies has on the physical structure of the grid, and how this evolving system can be managed in a sustainable and economical manner. To aid understanding of what the future might bring, a software platform has been developed that integrates two modelling techniques: agent-based modelling (ABM) to capture the characteristics of the different system units accurately and dynamically, and particle swarm optimization (PSO) to find the most economical mix of network extension and integration of distributed generation over long periods of time. Using data from Ergon Energy, two types of networks (3 phase, and Single Wired Earth Return or SWER) have been modelled; three-phase networks are usually used in dense networks such as urban areas, while SWER networks are widely used in rural Queensland. Simulations can be performed on these networks to identify the required upgrades, following a three-step process: a) what is already in place and how it performs under current and future loads, b) what can be done to manage it and plan the future grid and c) how these upgrades/new installations will perform over time. The number of small-scale distributed generators, e.g. PV and battery, is now sufficient (and expected to increase) to impact the operation of the grid, which in turn needs to be considered by the distribution network manager when planning for upgrades and/or installations to stay within regulatory limits. Different scenarios can be simulated, with different levels of distributed generation, in-place as well as expected, so that a large number of options can be assessed (Step a). Once the location, sizing and timing of assets upgrade and/or installation are found using optimisation techniques (Step b), it is possible to assess the adequacy of their daily performance using agent-based modelling (Step c). One distinguishing feature of this software is that it is possible to analyse a whole area at once, while still having a tailored solution for each of the sub-areas. To illustrate this, using the impact of battery and PV can have on the two types of networks mentioned above, three design conditions can be identified (amongst others): · Urban conditions o Feeders that have a low take-up of solar generators, may benefit from adding solar panels o Feeders that need voltage support at specific times, may be assisted by installing batteries · Rural conditions - SWER network o Feeders that need voltage support as well as peak lopping may benefit from both battery and solar panel installations. This small example demonstrates that no single solution can be applied across all three areas, and there is a need to be selective in which one is applied to each branch of the network. This is currently the function of the engineer who can define various scenarios against a configuration, test them and iterate towards an appropriate solution. Future work will focus on increasing the level of automation in identifying areas where particular solutions are applicable.

Science of winning soccer : emergent pattern-forming dynamics in association football

Quantitative analysis is increasingly being used in team sports to better understand performance in these stylized, delineated, complex social systems. Here we provide a first step toward understanding the pattern-forming dynamics that emerge from collective offensive and defensive behavior in team sports. We propose a novel method of analysis that captures how teams occupy sub-areas of the field as the ball changes location. We used the method to analyze a game of association football (soccer) based upon a hypothesis that local player numerical dominance is key to defensive stability and offensive opportunity. We found that the teams consistently allocated more players than their opponents in sub-areas of play closer to their own goal. This is consistent with a predominantly defensive strategy intended to prevent yielding even a single goal. We also find differences between the two teams' strategies: while both adopted the same distribution of defensive, midfield, and attacking players (a 4:3:3 system of play), one team was significantly more effective both in maintaining defensive and offensive numerical dominance for defensive stability and offensive opportunity. That team indeed won the match with an advantage of one goal (2 to 1) but the analysis shows the advantage in play was more pervasive than the single goal victory would indicate. Our focus on the local dynamics of team collective behavior is distinct from the traditional focus on individual player capability. It supports a broader view in which specific player abilities contribute within the context of the dynamics of multiplayer team coordination and coaching strategy. By applying this complex system analysis to association football, we can understand how players' and teams' strategies result in successful and unsuccessful relationships between teammates and opponents in the area of play.

Methods in general model localization

The aim of this study was to evaluate and test methods which could improve local estimates of a general model fitted to a large area. In the first three studies, the intention was to divide the study area into sub-areas that were as homogeneous as possible according to the residuals of the general model, and in the fourth study, the localization was based on the local neighbourhood. According to spatial autocorrelation (SA), points closer together in space are more likely to be similar than those that are farther apart. Local indicators of SA (LISAs) test the similarity of data clusters. A LISA was calculated for every observation in the dataset, and together with the spatial position and residual of the global model, the data were segmented using two different methods: classification and regression trees (CART) and the multiresolution segmentation algorithm (MS) of the eCognition software. The general model was then re-fitted (localized) to the formed sub-areas. In kriging, the SA is modelled with a variogram, and the spatial correlation is a function of the distance (and direction) between the observation and the point of calculation. A general trend is corrected with the residual information of the neighbourhood, whose size is controlled by the number of the nearest neighbours. Nearness is measured as Euclidian distance. With all methods, the root mean square errors (RMSEs) were lower, but with the methods that segmented the study area, the deviance in single localized RMSEs was wide. Therefore, an element capable of controlling the division or localization should be included in the segmentation-localization process. Kriging, on the other hand, provided stable estimates when the number of neighbours was sufficient (over 30), thus offering the best potential for further studies. Even CART could be combined with kriging or non-parametric methods, such as most similar neighbours (MSN).

Contribution à l'étude des caractéristiques morphologiques de l'unité littorale de Côte d'Ivoire, Golfe de Guinée: cas du périmètre littoral de Port-Bouet

This paper presents a large scale (1/10000) bathymetric chart along with the beach (s.l.) and shoreface schemes of Port-Bouet littoral. All these charts and maps contributed to identify the three morphological sub-areas which characterize the whole littoral area of Port-Bouet.

Relatório do cruzeiro realizado no Banco de Sofala pelo navio SRTM "Sebastopolsky ribak" de Setembro a Outubro de 1982: camarāo de águas pouco profundas

In September-October 1982, the Soviet ship "Sebastopolsky Rybak" conducted a cruise on the Sofala Bank in the area between 16°20'S and parallel 19°40'S. Two surveys were made, one from South to North (depth 10-110 meters) and vice versa. The type of coverage used was systematic. The Sofala Bank was divided into seven sub-areas. During this cruise sub-areas 3 and 4 were covered. Sub-area 5 has not been fully covered.

Ocean-wide tracking of pelagic sharks reveals extent of overlap with longline fishing hotspots

Overfishing is arguably the greatest ecological threat facing the oceans, yet catches of many highly migratory fishes including oceanic sharks remain largely unregulated with poor monitoring and data reporting. Oceanic shark conservation is hampered by basic knowledge gaps about where sharks aggregate across population ranges and precisely where they overlap with fishers. Using satellite tracking data from six shark species across the North Atlantic, we show that pelagic sharks occupy predictable habitat ‘hotspots’ of high space use. Movement modelling showed sharks preferred habitats characterised by strong sea-surface-temperature gradients (fronts) over other available habitats. However, simultaneous Global Positioning System (GPS) tracking of the entire Spanish and Portuguese longline-vessel fishing fleets show an 80% overlap of fished areas with hotspots, potentially increasing shark susceptibility to fishing exploitation. Regions of high overlap between oceanic tagged sharks and longliners included the North Atlantic Current/Labrador Current convergence zone and the Mid-Atlantic Ridge south-west of the Azores. In these main regions, and sub-areas within them, shark/vessel co-occurrence was spatially and temporally persistent between years, highlighting how broadly the fishing exploitation efficiently ‘tracks’ oceanic sharks within their space-use hotspots year-round. Given this intense focus of longliners on shark hotspots our study argues the need for international catch limits for pelagic sharks and identifies a future role of combining fine-scale fish and vessel telemetry to inform the ocean-scale management of fisheries.

Clustering and synchrony in laying hens: The effect of environmental resources on social dynamics

Laying hens generally choose to aggregate, but the extent to which the environments in which we house them impact on social group dynamics is not known. In this paper the effect of pen environment on spatial clustering is considered. Twelve groups of four laying hens were studied under three environmental conditions: wire floor (W), shavings (Sh) and perches, peat, nestbox and shavings (PPN). Groups experienced each environment twice, for five weeks each time, in a systematic order that varied from group to group. Video recordings were made one day per week for 30 weeks. To determine level of clustering, we recorded positional data from a randomly selected 20-min excerpt per video (a total of 20 min x 360 videos analysed). On screen, pens were divided into six equal areas. In addition, PPN pens were divided into an additional four (sub) areas, to account for the use of perches (one area per half perch). Every 5 s, we recorded the location of each bird and calculated location use over time, feeding synchrony and cluster scores for each environment. Feeding synchrony and cluster scores were compared against unweighted and weighted (according to observed proportional location use) Poisson distributions to distinguish between resource and social attraction.

Study of pesticide effects on non-target organisms

A utilização insustentável de pesticidas, especialmente em zonas com elevado valor ecológico constitui uma ameaça à integridade dos ecossistemas. Sendo um problema à escala mundial, e também no contexto nacional, o presente trabalho pretende ser um contributo para a avaliação dos efeitos de pesticidas em organismos não alvo terrestres e, principalmente, aquáticos, em contextos de progressiva relevância ecológica. Neste sentido, o estudo foi direccionado para áreas (A1 e A2) integradas numa zona agrícola extensa em Portugal, utilizada para a produção de milho e, principalmente, de arroz (Baixo Mondego), a qual sustenta uma elevada biodiversidade. O estudo teve início na área A1, onde a monitorização físico-química e os ensaios com amostras naturais (ensaios WET - whole effluent tests) provenientes desta área evidenciaram que, apesar da ausência de pesticidas, as amostras de água colhidas no canal que atravessava os arrozais foram as mais nocivas para o crescimento de Pseudokirchneriella subcapitata e Chlorella vulgaris. Uma vez que outras fontes de contaminação (produção de gado) actuavam em A1, o estudo prosseguiu apenas na área A2. Assim, em A2, começou-se por determinar a toxicidade individual e da mistura de dois herbicidas formulados aplicados nos campos de arroz (Viper®) e milho (Mikado®) em condições laboratoriais. Viper® foi o herbicida mais tóxico, tanto para o crescimento de P. subcapitata e C. vulgaris, como para a sobrevivência, reprodução e crescimento de Daphnia longispina e Daphnia magna. Adicionalmente, estimou-se que a mistura Viper®/Mikado® induz efeitos antagonistas no crescimento de P. subcapitata e efeitos sinérgicos no crescimento de C. vulgaris e na sobrevivência dos dafnídeos. A avaliação da toxicidade destes herbicidas formulados e seus ingredientes activos no comportamento de minhocas terrestres (Eisenia andrei), usando solos naturais, demonstrou que Viper® e penoxsulam causaram uma % de evitamento superior nos organismos expostos. Contudo, o risco para E. andrei será à partida reduzido se as taxas de aplicação dos herbicidas forem respeitadas. Ensaios WET foram novamente usados para testar amostras naturais da área A2. Verificou-se que a qualidade do sistema aquático e do arrozal diminuiu durante a estação agrícola, em paralelo com a presença de nutrientes e pesticidas. O crescimento algal foi inibido, apesar dos parâmetros de história de vida dos dafnídeos terem sido estimulados. O resultado desta avaliação subestimou, em certos casos, os impactos reais causados pela aplicação de pesticidas. A avaliação in situ simultânea à aplicação de herbicidas nos arrozais demonstrou que os efeitos registados foram de facto restritos aos pulsos de herbicidas. A inibição das taxas de alimentação de D. longispina e D. magna forneceram um sinal precoce de alterações no sistema, seguido pela diminuição da sua sobrevivência e do crescimento de P. subcapitata. Em suma, as diferentes fases da avaliação efectuada confirmaram a existência de condições desfavoráveis devido às práticas agrícolas, reforçando a necessidade de se conjugar ensaios laboratoriais com avaliações in situ de maior relevância ecológica, para reduzir o grau de incerteza aliado à determinação dos riscos.

Qualidade, sustentabilidade e FCS: o caso de uma IES privada no Brasil

Este trabalho de investigação foi realizado com o objetivo geral de se descobrir quais são os Fatores Críticos de Sucesso e os aspectos chaves de qualidade e sustentabilidade, a serem considerados no ensino de Engenharia de Produção em um IES privada no Brasil. No presente estudo de caso executou-se uma revisão teórica sistemática nas áreas temáticas da pesquisa, que propiciou a criação de um framework que define os 7 Fatores Críticos de Sucesso ao ensino de Engenharia de Produção, apontando sua divisão nas áreas de qualidade e sustentabilidade, e, por fim, a subdivisão em 6 subáreas de ações operacionais a serem consideradas pela gestão de IES para alcançar melhorias de desempenho em suas atividades. Posteriormente ao levantamento teórico, foi realizado o estudo de caso propriamente dito, que dividiu-se em duas etapas, uma qualitativa e uma quantitativa. Na primeira elaborou-se um roteiro de entrevista em profundidade aplicada a um terço do corpo docente do curso em estudo, captando a impressão destes sobre as temáticas em estudo voltadas à execução de suas atividades. Os dados obtidos foram organizados com o auxílio do software WebQDA, gerando ideias do que deve ser trabalhado para melhorar as condições e resultados do referido curso. A etapa quantitativa foi iniciada com a elaboração de um questionário on-line, desenvolvido a partir do enquadramento teórico e da informação obtida na parte qualitativa do estudo, que envolveu respostas de cerca de dois terços dos discentes de Engenharia de Produção. A informação foi recolhida através de um formulário disponibilizado pelo googledocs, e os resultados foram analisados com o auxílio do software SPSS, permitindo conhecer as expectativas e percepções dos alunos e, consequentemente, os gaps provenientes a serem trabalhados. Finalmente, o estudo revelou que para aspectos de qualidade, os pontos de tangibilidade, como infraestrutura geral, laboratórios técnicos específicos, cantina e biblioteca, precisam ser melhorados, e, para aspectos de sustentabilidade, surge a necessidade de melhorar as formas de divulgação do curso, captação de alunos e propostas para a retenção dos mesmos para outros cursos e projetos da IES. Deste modo, o trabalho desenvolvido atingiu seu objetivo e se mostrou válido para aplicações na IES e em outros cursos da mesma (com as devidas adaptações). Fica como recomendação final aplicar o estudo periodicamente para se captar as mudanças situacionais que ocorrerem, manter um controle eficiente dos aspectos estudados e gerar melhorias contínuas no curso estudado e na própria IES.