bluuebunny/crossref_metadata_2025 huggingface dataset:
Using simulations of the last millennium to understand climate variability seen in paleo-observations: similar variation of Iceland-Scotland overflow strength and Atlantic Multidecadal Oscillation
Authors: Lohmann K. , Mignot J. , Langehaug H. R. , Jungclaus J. H. , Matei D. , Otterå O. H. , Gao Y. , Mjell T. L. , Ninnemann U. , Kleiven H. F.
Published: August 2014

Abstract. A recent paleo-reconstruction of the strength of the Iceland-Scotland overflow during the last 600 years suggests that its low-frequency variability exhibits strong similarity with paleo-reconstructions of the Atlantic Multidecadal Oscillation (AMO). The underlying mechanism of the apparent covarying remains, however, unclear based on paleo-reconstructions alone. In this study we use simulations of the last millennium driven by external forcing reconstructions with three coupled climate models in order to investigate possible mechanisms underlying the apparent covarying. Two of the model simulations show a clear in-phase variation of Iceland-Scotland overflow strength and AMO index. Our analysis indicates that the basinwide AMO index in the externally forced simulations is dominated by the low-latitude SST variability and is not predominantly driven by variations in the strength of the Atlantic meridional overturning circulation (MOC). In the simulations, also a strong (weak) Iceland-Scotland overflow does generally not lead a strong (weak) MOC, suggesting that a large-scale link through the strength of the MOC is not sufficient to explain the (simulated) in-phase variation of Iceland-Scotland overflow strength and AMO index. Rather, a more local link through the influence of the Nordic Seas SST, which is positively correlated with the AMO index, on the Iceland-Scotland overflow strength is responsible for the (simulated) in-phase variation. The Nordic Seas surface state affects, via convective activity, the density structure and the sea surface height (SSH), and consequently the pressure north of the Iceland-Scotland-Ridge. In the model simulation showing a less clear in-phase variation of Iceland-Scotland overflow strength and AMO index, also the wind stress influences the Nordic Seas SSH anomalies associated with the anomalous overflow strength. The details of the mechanisms differ between the three models, underlining the importance of multi-model analysis. Our study demonstrates that paleo-climate simulations provide a useful tool to understand mechanisms and large-scale connections associated with the relatively sparse paleo-observations.
A strategy for GIS-based 3-D slope stability modelling over large areas
Authors: Mergili M. , Marchesini I. , Alvioli M. , Metz M. , Schneider-Muntau B. , Rossi M. , Guzzetti F.
Published: August 2014

Abstract. GIS-based deterministic models may be used for landslide susceptibility mapping over large areas. However, such efforts require specific strategies to (i) keep computing time at an acceptable level, and (ii) parameterize the geotechnical data. We test and optimize the performance of the GIS-based, 3-D slope stability model r.slope.stability in terms of computing time and model results. The model was developed as a C- and Python-based raster module of the open source software GRASS GIS and considers the 3-D geometry of the sliding surface. It calculates the factor of safety (FoS) and the probability of slope failure (Pf) for a number of randomly selected potential slip surfaces, ellipsoidal or truncated in shape. Model input consists of a DEM, ranges of geotechnical parameter values derived from laboratory tests, and a range of possible soil depths estimated in the field. Probability density functions are exploited to assign Pf to each ellipsoid. The model calculates for each pixel multiple values of FoS and Pf corresponding to different sliding surfaces. The minimum value of FoS and the maximum value of Pf for each pixel give an estimate of the landslide susceptibility in the study area. Optionally, r.slope.stability is able to split the study area into a defined number of tiles, allowing parallel processing of the model on the given area. Focusing on shallow landslides, we show how multi-core processing allows to reduce computing times by a factor larger than 20 in the study area. We further demonstrate how the number of random slip surfaces and the sampling of parameters influence the average value of Pf and the capacity of r.slope.stability to predict the observed patterns of shallow landslides in the 89.5 km2 Collazzone area in Umbria, central Italy.
Automatic Building Detection based on Supervised Classification using High Resolution Google Earth Images
Authors: Ghaffarian S. , Ghaffarian S.
Published: August 2014

Abstract. This paper presents a novel approach to detect the buildings by automization of the training area collecting stage for supervised classification. The method based on the fact that a 3d building structure should cast a shadow under suitable imaging conditions. Therefore, the methodology begins with the detection and masking out the shadow areas using luminance component of the LAB color space, which indicates the lightness of the image, and a novel double thresholding technique. Further, the training areas for supervised classification are selected by automatically determining a buffer zone on each building whose shadow is detected by using the shadow shape and the sun illumination direction. Thereafter, by calculating the statistic values of each buffer zone which is collected from the building areas the Improved Parallelepiped Supervised Classification is executed to detect the buildings. Standard deviation thresholding applied to the Parallelepiped classification method to improve its accuracy. Finally, simple morphological operations conducted for releasing the noises and increasing the accuracy of the results. The experiments were performed on set of high resolution Google Earth images. The performance of the proposed approach was assessed by comparing the results of the proposed approach with the reference data by using well-known quality measurements (Precision, Recall and F1-score) to evaluate the pixel-based and object-based performances of the proposed approach. Evaluation of the results illustrates that buildings detected from dense and suburban districts with divers characteristics and color combinations using our proposed method have 88.4 % and 853 % overall pixel-based and object-based precision performances, respectively.
Automatic modelling of building façade objects via primitive shapes
Authors: Hetti Arachchige N. , Perera S.
Published: August 2014

Abstract. This paper presents a new approach to recognize individual façade objects and to reconstruct such objects in 3D using MLS point clouds. Core of the approach is a primitive shape based algorithm, which introduces building primitives, to identify the façade objects separately from other irrelevant objects and then to model the correct topology. The primitive shape is identified against defined different primitive shapes by using the Douglas-Peucker algorithm. The advantage of this process is that it offers an ability not only to model correct geometric shapes but also to remove occlusion effects from the final model. To evaluate the validity of the proposed approach, experiments have been conducted using two types of street scene point clouds captured by Optech Lynx Mobile Mapper System and Z+F laser scanner. Results of the experiments show that the completeness, correctness, and quality of the reconstructed building façade objects are well over 90 %, proving the proposed method is a promising solution for modelling 3D façade objects with different geometric shapes.
Automated mapping of building facades by machine learning
Authors: Höhle J.
Published: August 2014

Abstract. Facades of buildings contain various types of objects which have to be recorded for information systems. The article describes a solution for this task focussing on automated classification by means of machine learning techniques. Stereo pairs of oblique images are used to derive 3D point clouds of buildings. The planes of the buildings are automatically detected. The derived planes are supplemented with a regular grid of points for which the colour values are found in the images. For each grid point of the façade additional attributes are derived from image and object data. This "intelligent" point cloud is analysed by a decision tree, which is derived from a small training set. The derived decision tree is then used to classify the complete point cloud. To each point of the regular façade grid a class is assigned and a façade plan is mapped by a colour palette representing the different objects. Some image processing methods are applied to improve the appearance of the interpreted façade plot and to extract additional information. The proposed method is tested on facades of a church. Accuracy measures were derived from 140 independent checkpoints, which were randomly selected. When selecting four classes ("window", "stone work", "painted wall", and "vegetation") the overall accuracy is assessed with 80 % (95 % Confidence Interval: 71 %–88 %). The user accuracy of class “stonework” was assessed with 90 % (95 % CI: 80 %–97 %). The proposed methodology has a high potential for automation and fast processing.
A Dynamic Bayes Network for visual Pedestrian Tracking
Authors: Klinger T. , Rottensteiner F. , Heipke C.
Published: August 2014

Abstract. Many tracking systems rely on independent single frame detections that are handled as observations in a recursive estimation framework. If these observations are imprecise the generated trajectory is prone to be updated towards a wrong position. In contrary to existing methods our novel approach suggests a Dynamic Bayes Network in which the state vector of a recursive Bayes filter, as well as the location of the tracked object in the image are modelled as unknowns. These unknowns are estimated in a probabilistic framework taking into account a dynamic model, prior scene information, and a state-of-the-art pedestrian detector and classifier. The classifier is based on the Random Forests-algorithm and is capable of being trained incrementally so that new training samples can be incorporated at runtime. This allows the classifier to adapt to the changing appearance of a target and to unlearn outdated features. The approach is evaluated on a publicly available dataset captured in a challenging outdoor scenario. Using the adaptive classifier, our system is able to keep track of pedestrians over long distances while at the same time supporting the localisation of the people. The results show that the derived trajectories achieve a geometric accuracy superior to the one achieved by modelling the image positions as observations.
WebGL Visualisation of 3D Environmental Models Based on Finnish Open Geospatial Data Sets
Authors: Krooks A. , Kahkonen J. , Lehto L. , Latvala P. , Karjalainen M. , Honkavaara E.
Published: August 2014

Abstract. Recent developments in spatial data infrastructures have enabled real time GIS analysis and visualization using open input data sources and service interfaces. In this study we present a new concept where metric point clouds derived from national open airborne laser scanning (ALS) and photogrammetric image data are processed, analyzed, finally visualised a through open service interfaces to produce user-driven analysis products from targeted areas. The concept is demonstrated in three environmental applications: assessment of forest storm damages, assessment of volumetric changes in open pit mine and 3D city model visualization. One of the main objectives was to study the usability and requirements of national level photogrammetric imagery in these applications. The results demonstrated that user driven 3D geospatial analyses were possible with the proposed approach and current technology, for instance, the landowner could assess the amount of fallen trees within his property borders after a storm easily using any web browser. On the other hand, our study indicated that there are still many uncertainties especially due to the insufficient standardization of photogrammetric products and processes and their quality indicators.
A real-time photogrammetric algorithm for sensor and synthetic image fusion with application to aviation combined vision
Authors: Lebedev M. A. , Stepaniants D. G. , Komarov D. V. , Vygolov O. V. , Vizilter Yu. V. , Zheltov S. Yu.
Published: August 2014

Abstract. The paper addresses a promising visualization concept related to combination of sensor and synthetic images in order to enhance situation awareness of a pilot during an aircraft landing. A real-time algorithm for a fusion of a sensor image, acquired by an onboard camera, and a synthetic 3D image of the external view, generated in an onboard computer, is proposed. The pixel correspondence between the sensor and the synthetic images is obtained by an exterior orientation of a "virtual" camera using runway points as a geospatial reference. The runway points are detected by the Projective Hough Transform, which idea is to project the edge map onto a horizontal plane in the object space (the runway plane) and then to calculate intensity projections of edge pixels on different directions of intensity gradient. The performed experiments on simulated images show that on a base glide path the algorithm provides image fusion with pixel accuracy, even in the case of significant navigation errors.
ESA ExoMars: Pre-launch PanCam Geometric Modeling and Accuracy Assessment
Authors: Li D. , Li R , Yilmaz A.
Published: August 2014

Abstract. ExoMars is the flagship mission of the European Space Agency (ESA) Aurora Programme. The mobile scientific platform, or rover, will carry a drill and a suite of instruments dedicated to exobiology and geochemistry research. As the ExoMars rover is designed to travel kilometres over the Martian surface, high-precision rover localization and topographic mapping will be critical for traverse path planning and safe planetary surface operations. For such purposes, the ExoMars rover Panoramic Camera system (PanCam) will acquire images that are processed into an imagery network providing vision information for photogrammetric algorithms to localize the rover and generate 3-D mapping products. Since the design of the ExoMars PanCam will influence localization and mapping accuracy, quantitative error analysis of the PanCam design will improve scientists’ awareness of the achievable level of accuracy, and enable the PanCam design team to optimize its design to achieve the highest possible level of localization and mapping accuracy. Based on photogrammetric principles and uncertainty propagation theory, we have developed a method to theoretically analyze how mapping and localization accuracy would be affected by various factors, such as length of stereo hard-baseline, focal length, and pixel size, etc.
Oscillation of the Measurement Accuracy of the Center Location of an Ellipse on a Digital Image
Authors: Matsuoka R.
Published: August 2014

Abstract. Circular targets are often utilized in photogrammetry and a circle on a plane is projected as an ellipse onto an oblique image. This paper reports an experiment conducted to investigate whether the measurement accuracy of the center location of an ellipse on a digital image oscillates as its dimension increases. The experiment was executed by the Monte Carlo simulation using 1024 synthesized images of which the centers were randomly distributed in one pixel for each ellipse. We investigated four typical measurement methods: intensity-weighted centroid method, non-iterative ellipse fitting, iterative ellipse fitting with the star operator, and least-squares matching. Three flattenings 0.00, 0.25, 0.50, and three rotation angles 0.0°, 22.5°, 45.0° were investigated in the experiment. The experiment results clearly show that the measurement accuracy by all the investigated methods would oscillate as the dimension of an ellipse increases. The measurement accuracy by the intensity-weighted centroid method and the non-iterative ellipse fitting would oscillate smoothly, while that by the least-squares matching would oscillate considerably roughly. It would be impossible to determine the cycle of the oscillation except the measurement accuracy by the intensity-weighted centroid method and the non-iterative ellipse fitting when the rotation angle of an ellipse is 0.0° and 45.0°. The experiment results indicate that the flattening and the rotation angle of an ellipse would affect the cycle of the oscillation as well.
Integration of prior knowledge into dense image matching for video surveillance
Authors: Menze M. , Heipke C.
Published: August 2014

Abstract. Three-dimensional information from dense image matching is a valuable input for a broad range of vision applications. While reliable approaches exist for dedicated stereo setups they do not easily generalize to more challenging camera configurations. In the context of video surveillance the typically large spatial extent of the region of interest and repetitive structures in the scene render the application of dense image matching a challenging task. In this paper we present an approach that derives strong prior knowledge from a planar approximation of the scene. This information is integrated into a graph-cut based image matching framework that treats the assignment of optimal disparity values as a labelling task. Introducing the planar prior heavily reduces ambiguities together with the search space and increases computational efficiency. The results provide a proof of concept of the proposed approach. It allows the reconstruction of dense point clouds in more general surveillance camera setups with wider stereo baselines.
Generating Oriented Pointsets From Redundant Depth Maps Using Restricted Quadtrees
Authors: Rothermel M. , Haala N. , Fritsch D.
Published: August 2014

Abstract. In this article we present an algorithm for the fusion of depth images derived by dense image matching (DIM). One key idea of our algorithm is to generate a 2D triangulation for each available depth map in the image sequence using a restricted quadtrees (RQT). On the one hand this guarantees matching triangulations, on the other hand this creates the possibility to reduce points in the noise range not contributing to the geometry in a controlled manner. By vertex decimation computational efforts in subsequent processing steps are eased. In order to reduce IO overhead, the algorithm is designed in an iterative way: an initial triangulation is lifted to 3D space and, if pixel footprints are comparable, updated using depths of the subsequent map in the sequence. Previously not observed surface regions or surface patches observed only with adverse precision are removed from the existing model and updated by more appropriate triangulations. Thereby differences in scale across depth maps are handled which is particularly important to preserve details and obtain surfaces with the best reconstruction geometry. To remove outliers visibility constraints are forced. The input is overlapping depth images and their poses in space, the output are point coordinates representing the surface, their respective normals and to some degree spatial neighbourhood information of points represented as a non-watertight mesh. The performance of the algorithm will be evaluated on a close range and a oblique aerial dataset.
Efficient point cloud collision detection and analysis in a tunnel environment using kinematic laser scanning and K-D Tree search
Authors: Schauer J. , Nüchter A.
Published: August 2014

Abstract. Measuring the structure gauge of tunnels and other narrow passages has so far been the only way to evaluate whether large vehicles can pass through them. But especially for very long vehicles like train wagons and their cargo, the structure gauge is an insufficient measure because the center part of the vehicle between two bogies will inevitably leave the swept volume of its cross section when moving along any other trajectory than a straight line perpendicular to its cross section. In addition, the vehicle as well as the cargo must keep a minimum safety margin from the environment at all points of its trajectory. This paper explores an automated method to check for possible collisions of a model represented by a 3D point cloud moving through the 3D point cloud of an environment. We were given environment data of a train track through a narrow tunnel where simply relying on the structure gauge would indicate that a given wagon would pass through without any collision even though in reality, the train wagon would collide with the inner tunnel wall inside a sharp turn of the tracks. The k-d tree based collision detection method presented in this paper is able to correctly highlight these collisions and indicate the penetration depth of each colliding point of the environment into the model of the train wagon. It can be generalized for any setup where two static point clouds have to be tested for intersection along a trajectory.
Extraction of fluvial networks in lidar data using marked point processes
Authors: Schmidt A. , Rottensteiner F. , Soergel U. , Heipke C.
Published: August 2014

Abstract. We propose a method for the automatic extraction of fluvial networks in lidar data with the aim to obtain a connected network represented by the fluvial channels' skeleton. For that purpose we develop a two-step approach. First, we fit rectangles to the data using a stochastic optimization based on a Reversible Jump Markov Chain Monte Carlo (RJMCMC) sampler and simulated annealing. High gradients on the rectangles' border and non-overlapping areas of the objects are introduced as model in the optimization process. In a second step, we determine the principal axes of the rectangles and their intersection points. Based on this a network graph is constructed in which nodes represent junction points or end points, respectively, and edges in-between straight line segments. We evaluate our method on lidar data with a tidal channel network and show some preliminary results.
Fast Moving Objects Detection Using iLBP Background Model
Authors: Vishnyakov B. , Gorbatsevich V. , Sidyakin S. , Vizilter Y. , Malin I. , Egorov A.
Published: August 2014

Abstract. In this paper a new approach for moving objects detection in video surveillance systems is proposed. It is based on iLBP (intensity local binary patterns) descriptor that combines the classic LBP (local binary patterns) and the multiple regressive pseudospectra model. The iLBP descriptor itself is considered together with computational algorithm that is based on the sign image representation. We show that motion analysis methods based on iLBP allow uniformly detecting objects that move with different speed or even stop for a short while along with unattended objects. We also show that proposed model is comparable to the most popular modern background models, but is significantly faster.
Shape-Based Image Matching Using Heat Kernels and Diffusion Maps
Authors: Vizilter Yu. V. , Gorbatsevich V. S. , Rubis A. Yu. , Zheltov S. Yu.
Published: August 2014

Abstract. 2D image matching problem is often stated as an image-to-shape or shape-to-shape matching problem. Such shape-based matching techniques should provide the matching of scene image fragments registered in various lighting, weather and season conditions or in different spectral bands. Most popular shape-to-shape matching technique is based on mutual information approach. Another wellknown approach is a morphological image-to-shape matching proposed by Pytiev. In this paper we propose the new image-to-shape matching technique based on heat kernels and diffusion maps. The corresponding Diffusion Morphology is proposed as a new generalization of Pytiev morphological scheme. The fast implementation of morphological diffusion filtering is described. Experimental comparison of new and aforementioned shape-based matching techniques is reported applying to the TV and IR image matching problem.
Phase Correlation based Local Illumination-invariant Method for Multi-Tempro Remote Sensing Image Matching
Authors: Wan X. , Liu J. , Yan H.
Published: August 2014

Abstract. This paper aims at image matching under significantly different illumination conditions, especially illumination angle changes, without prior knowledge of lighting conditions. We investigated the illumination impact on Phase Correlation (PC) matrix by mathematical derivation and from which, we decomposed PC matrix as the multiplication product of the illumination impact matrix and the translation matrix. Thus the robustness to illumination variation of the widely used Absolute Dirichlet Curve-fitting (AD-CF) algorithm for pixel-wise disparity estimation is proved. Further, an improved PC matching algorithm is proposed: Absolute Dirichlet SVD (AD-SVD), to achieve illumination invariant image alignment. Experiments of matching DEM simulated terrain shading images under very different illumination angles demonstrated that AD-SVD achieved 1/20 pixels accuracy for image alignment and it is nearly entirely invariant to daily and seasonal solar position variation. The AD-CF algorithm was tested for generating disparity map from multi-illumination angle stereo pairs and the results demonstrated high fidelity to the original DEM and the Normalised Correlation Coefficient (NCC) between the two is 0.96.
Stereo Model Selection and Point Cloud Filtering using an Out-of-Core Octree
Authors: Wenzel K. , Haala N. , Fritsch D.
Published: August 2014

Abstract. Dense image matching methods enable the retrieval of dense surface information using any kind of imagery. The best quality can be achieved for highly overlapping datasets, which avoids occlusions and provides highly redundant observations. Thus, images are acquired close to each other. This leads to datasets with increasing size – especially when large scenes are captured. While image acquisition can be performed in relatively short time, more time is required for data processing due to the computational complexity of the involved algorithms. For the dense surface reconstruction task, Multi-View Stereo algorithms can be used – which are typically beneficial due to the efficiency of image matching on stereo models. Our dense image matching solution SURE uses such an approach, where the result of stereo matching is fused using a multi-stereo triangulation in order to exploit the available redundancy. One key challenge of such Multi-View Stereo methods is the selection of suitable stereo models, where object space information should be considered to avoid unnecessary processing. Subsequently, the dense image matching step provides up to one 3D point for each pixel, which leads to massive point clouds. This large amount of 3D data needs to be filtered and integrated efficiently in object space. Within this paper, we present an out-of-core octree, which enables neighborhood and overlap analysis between point clouds. It is used on low-resolution point clouds to support the stereo model selection. Also, this tree is designed for the processing of massive point clouds with low memory requirements and thus can be used to perform outlier rejection, redundancy removal and resampling.
True orthophoto generation using multi-view aerial images
Authors: Chen Y. , Briese C. , Karel W. , Pfeifer N.
Published: August 2014

Abstract. Usually aerial imagery are acquired through perspective projection which results in relief displacement in the map. Therefore, orthophotos from large scale aerial images over urban area often suffer from double mappings caused by sudden elevation changes in the scene. In the generation of true orthophotos, one aims at removing these perspective displacements and occlusions. Hence, knowledge of the surface shape is needed, as it has great impacts both on the orthorectification and occlusion identification. Mostly, the relief displacements are caused by buildings. In this paper, we present a method for the generation of true orthophotos from overlapping aerial images of known orientation, especially in built-up areas. Apart from the aerial images, the method does not depend on additional data sources. In particular, we focus on the derivation of building roof outline model using image segmentation and edge detection techniques under the guide of the classification result of point cloud from image matching . Experiment results on real data show the feasibility and the performance of the method.
A Distance-Weighted Graph-Cut Method for the Segmentation of Laser Point Clouds
Authors: Dutta A. , Engels J. , Hahn M.
Published: August 2014

Abstract. Normalized Cut according to (Shi and Malik 2000) is a well-established divisive image segmentation method. Here we use Normalized Cut for the segmentation of laser point clouds in urban areas. In particular we propose an edge weight measure which takes local plane parameters, RGB values and eigenvalues of the covariance matrices of the local point distribution into account. Due to its target function, Normalized Cut favours cuts with “small cut lines/surfaces”, which appears to be a drawback for our application. We therefore modify the target function, weighting the similarity measures with distant-depending weights. We call the induced minimization problem “Distance-weighted Cut” (DWCut). The new target function leads to a slightly more complicated generalized eigenvalue problem than in case of the Normalized Cut; on the other hand, the new target function is easier to interpret and avoids the just-mentioned drawback. DWCut can be beneficially combined with an aggregation in order to reduce the computational effort and to avoid shortcomings due to insufficient plane parameters. Finally we present examples for the successful application of the Distance-weighted Cut principle. The method was implemented as a plugin into the free and open source geographic information system SAGA; for preprocessing steps the proprietary SAGA-based LiDAR software LIS was applied.
Visualization of Mobile Mapping Data via Parallax Scrolling
Authors: Eggert D. , Schulze E. C.
Published: August 2014

Abstract. Visualizing big point-clouds, such as those derived from mobile mapping data, is not an easy task. Therefore many approaches have been proposed, based on either reducing the overall amount of data or the amount of data that is currently displayed to the user. Furthermore, an entirely free navigation within such a point-cloud is also not always intuitive using the usual input devices. This work proposes a visualization scheme for massive mobile mapping data inspired by a multiplane camera model also known as parallax scrolling. This technique, albeit entirely two-dimensional, creates a depth illusion by moving a number of overlapping partially transparent image layers at various speeds. The generation of such layered models from mobile mapping data greatly reduces the amount of data up to about 98 % depending on the used image resolution. Finally, it is well suited for the panoramic-fashioned visualization of the environment of a moving car.
Quality Assessment of Self-Calibration with Distortion Estimation for Grid Point Images
Authors: Franjcic Z. , Bondeson J.
Published: August 2014

Abstract. Recently, a camera self-calibration algorithm was reported which solves for pose, focal length and radial distortion using a minimal set of four 2D-to-3D point correspondences. In this paper, we present an empirical analysis of the algorithm’s accuracy using highfidelity point correspondences. In particular, we use images of circular markers arranged in a regular planar grid, obtain the centroids of the marker images, and pass those as input point correspondences to the algorithm. We compare the resulting reprojection errors against those obtained from a benchmark calibration based on the same data. Our experiments show that for low-noise point images the self-calibration technique performs at least as good as the benchmark with a simplified distortion model.
Intermittency of earthquake cycles in a model of a three-degree-of-freedom spring-block system
Authors: Abe Y. , Kato N.
Published: August 2014

Abstract. We herein report the results of some numerical simulations of complex earthquake cycles using a three-degree-of-freedom spring-block model with a rate- and state-dependent friction law. The model consists of three blocks on a conveyor belt that is moving at a steady rate. Observed complex slip behaviour in the simulations is classified into five slip patterns, and for each of these the parameter dependence of the slip patterns is demonstrated by means of phase diagrams. Aperiodic slip patterns occur for wider ranges of the parameter space in the three-block system than in the two-block system. Chaotic slip behaviour known here as "intermittency" is found in the three-block system, in which two different slip patterns occur alternately with variable durations. By calculating Lyapunov exponents, we quantify the dependence of slip evolution on the initial conditions for each slip pattern. For cases where intermittent slip patterns occur, the time evolution of the Lyapunov exponent is correlated with changes in slip behaviour.
The Members
Authors: Fuccella Mallory
Published: August 2014

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Ya ves, soy Asháninka: Terrorism and Testimony in Perú
Authors: McCoy Evelyn F.
Published: August 2014

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The Land of Magical Crossroads
Authors: Mok Vincent
Published: August 2014

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The "Romantic" Year Without a Summer: The Little Ice Age's Cultural Impact on Early Nineteenth Century Britain
Authors: Schlesinger Kathryn
Published: August 2014

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References - Volume 3
Authors: Fifth Forbes And
Published: August 2014

References
Introduction
Authors: Fifth Forbes And
Published: August 2014

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Deadbeat Husband
Authors: Miller Kaitlin
Published: August 2014

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"An Outline of the Modern Girl" from Akemi Ishiguro's The Modern Girl's Story
Authors: Hirsh Meghan
Published: August 2014

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Cover Art: An Investigation of the Separation Between the Physical, the Imaginary, and the Virtual
Authors: Betts Julia
Published: August 2014

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AVALIAÇÃO DO REAL POTENCIAL INIBIDOR DE EXTRATOS ETANÓLICOS DE Ottonia martiana SOBRE Cylindrocladium spathulatum E Botrytis cinerea
Authors: Cunico Miriam Machado , Auer Celso Garcia , Cunico Marlon Wesley Machado , Miguel Obdulio Gomes , Zamora Patricio Peralta , Sanquetta Carlos Roberto
Published: August 2014

Extratos etanólicos de anestesia, Ottonia martiana Miq., foram reavaliados quanto à inibição do crescimento micelial dos fungos Cylindrocladium spathulatum (pinta-preta da erva-mate) e Botrytis cinerea (mofo-cinzento do eucalipto), por meio do planejamento fatorial. A ocorrência de decomposição de bioativos no processo de autoclavagem também foi investigada, por meio de teste de eficiência de extratos filtrados (filtro Millipore) e esterilizados (autoclave) no controle dos fitopatógenos, nas concentrações de 1, 10, 100 e 1000 ppm. Os extratos etanólicos filtrado e esterilizado inibiram o crescimento micelial dos fungos e foram mais ativos frente a B. cinerea.O extrato filtrado exibiu maior potencial antifúngico que o extrato esterilizado. O processo de esterilização por autoclavagem causou pequena decomposição dos bioativos presentes no extrato de anestesia.Palavras-chave: Anestesia; mofo-cinzento; pinta-preta. Abstract Fungitoxic potential of ethanolic extracts of anestesia in the control of phytopathogenic diseases. The antifungal potential of anestesia, Ottonia martiana Miq. was reassessed by factorial design, in vitro testing of fungal mycelial growth compared to the pathogenic isolates Cylindrocladium spathulatum, causal agent of black spot onyerba mate, and Botrytis cinerea causal agent of gray-mold on eucalypts. Occurrence of decomposition of bioactive of the autoclaving process was investigated using foliar detached test compared to the pathogens (1000 ppm). Ethanolic extracts - EBEtOH (filtered and autoclaved) inhibited the mycelial growth of C. spathulatum and B. cinerea (1000 ppm) and were more pronounced against B. cinerea (43.6 % and 68.9 %). EBEtOH filtered (0.22 µm) presented higher activity than EBEtOH autoclaved (C. spathulatum: 52.8 % and 43.6 %, B. cinerea: 68.9 % and 43.6 %), suggesting little decomposition ofbioactive after autoclaving. EBEtOH filtrate presented potential inhibition of 28 % in eucalypt leaves against B. cinerea.  Keywords: Ottonia martiana; black spot; gray-mold.
COMPOSIÇÃO FLORÍSTICA E ESTRATÉGIAS DE DISPERSÃO E REGENERAÇÃO DE GRUPOS FLORÍSTICOS EM FLORESTAS ESTACIONAIS DECIDUAIS NO RIO GRANDE DO SUL
Authors: Scipioni Marcelo Callegari , Galvão Franklin , Longhi Solon Jonas
Published: August 2014

As Florestas Estacional Decidual Aluvial e Submontana encontram-se ao longo de um gradiente topográfico com variações geomorfológicas e pedológicas. Para entender as variações das guildas ecológicas e do contingente geográfico das comunidades florestais em uma microbacia do rio Jacuí, no Rio Grande do Sul, foram alocadas 200 parcelas de 100 m², distribuídas em 40 pontos amostrais, com 5 parcelas cada, desde as cabeceiras de drenagem até a planície de inundação do referido rio. Em cada unidade amostral foram medidos e identificados todos os indivíduos lenhosos com diâmetro à altura do peito de ≥5 cm. A partir da amostra total, foi realizada uma análise de agrupamento de similaridade florística, resultando em três comunidades florestais distintas. Elas foram nomeadas de formações aluvial e submontana e área dominada por ambas as formações. Para a amostra total e dos grupos obtidos, foram determinadas as porcentagens de contribuição das espécies e indivíduos, por meio da classificação de guildas ecológicas de dispersão de diásporos e grupos ecológicos, além dos contingentes fitogeográficos. O contingente geográfico de composição das comunidades florestais foi dominado por espécies de ampla distribuição. Os padrões das guildas ecológicas entre os grupos foram distintos. Entretanto, todos os grupos apresentaram maior contribuição de espécies zoocóricas.Palavras-chave: Comunidades florestais; fitogeografia; similaridades florísticas; ecologia florestal. AbstractFloristic composition and dispersal and regeneration strategies of woody species in Deciduous Seasonal Forests. The connected fragments of submontane and alluvial deciduous forests are present along the topographic gradient with large pedological and geomorphological variations. In order to understand the variations of ecological guilds and geographical contingent of forest community in a watershed, 200 plots of 100 m² divided into 40 sampling points with five plots each were distributed from the headwaters to the floodplain of the Jacuí River. In each sampling unit were identified and measured all woody plants with diameter at breast height ≥ 5 cm. From the total sample was performed a cluster analysis of floristic similarity, resulting in three forest communities. These were termed formation, submontane and alluvial, and the area dominated by both formations.For the total sample and the groups was determined the percentage contribution of species and individuals, by classification of ecological guilds of dispersal of seeds and regeneration and geographic quotas. The geographic contingent composition of forest communities was dominated by species of wide distribution. The patterns of ecological guilds were different between groups. However, all groups revealed higher contribution of zoocoric species. Keywords: Forest communities; phytogeography; floristic similarity; forest ecology.
ÁREAS PROTEGIDAS DE CURITIBA (PR, BRASIL) COMO SUMIDOUROS DE CO2
Authors: Ribeiro Juliana Baladelli , Borgo Marília , Maranho Leila Teresinha
Published: August 2014

A conservação de fragmentos florestais é extremamente necessária para garantir a manutenção da biodiversidade, além de assegurar o armazenamento de carbono contido na biomassa e nos solos. O município de Curitiba (PR, Brasil) possui 52 áreas protegidas municipais com remanescentes de Floresta Ombrófila Mista (FOM) em diferentes estágios de conservação, as quais contribuem para a manutenção da biodiversidade, melhoria da qualidade de vida dos moradores e também auxiliam na mitigação das mudanças climáticas, pois estocam grandes quantidades de carbono nos diversos componentes florestais. O presente estudo foi desenvolvido com o objetivo de avaliar a importância dos fragmentos florestais de Curitiba na manutenção dos estoques de carbono de forma associada à sua importância para a preservação da biodiversidade, o que pode servir de incentivo para o investimento público nessas áreas e de estímulo a outros municípios para a criação e manutenção de UCs. O estoque de carbono contido nos remanescentes florestais do município (1.159.259,60 t C) reforça a importância da conservação de remanescentes de vegetação nativa, ainda que em meio ao ambiente urbano.Palavras-chave: Carbono; desmatamento evitado; Floresta com Araucária; áreas verdes urbanas. AbstractProtected Areas in Curitiba, PR, Brazil, as carbon sinks.Conservation of forest’s fragments is extremely necessary to ensure maintenance of biodiversity and storage of carbon. There are currently 52 protected areas (PAs) in Curitiba municipality, located in Parana State – Brazil, with remnants of Araucaria Forest at different stages of conservation contributing to maintenance of biodiversity, improving quality of life of residents and also assisting in prevention of climate change as the aforementioned areas store large amounts of carbon in a range of forest components. In 2009, Curitiba conducted a research to estimate the carbon stock of forest fragments. The present research was carried out in order to evaluate the importance of these fragments in the maintenance of carbon stocks, associated to the preservation of biodiversity, which may be an incentive for public investment in these areas and encouragement to other municipalities for the creation and maintenance of PAs. Based on available information on the carbon contained in forest remnants of the city, it was identified that the total of those areas involves a stock of 1,159,259.60 t C, which reinforces the importance of maintaining native vegetation even in urban environment. Keywords: Carbon; deforestation prevention; Araucaria Forest; urban protected areas.
COMPARAÇÃO ENTRE O PERFIL DOS INCÊNDIOS FLORESTAIS DE MONTE ALEGRE, BRASIL, E DE PINAR DEL RÍO, CUBA
Authors: Rodríguez Marcos Pedro Ramos , Soares Ronaldo Viana , Batista Antonio Carlos , Tetto Alexandre França , Becerra Luis Wilfredo Martínez
Published: August 2014

É importante se determinar onde, quando e porque ocorrem os incêndios florestais, com vistas a estruturar os serviços de prevenção e combate dentro de limites economicamente viáveis. Esta pesquisa foi desenvolvida com o objetivo de comparar o comportamento histórico dos incêndios florestais ocorridos no período de 2002 a 2011 no Distrito Florestal de Monte Alegre, estado do Paraná, Brasil, e nas empresas florestais da Província de Pinar del Río, Cuba. Foram consideradas as distribuições temporal e espacial dos incêndios, tendo sido analisada também a eficiência do serviço de proteção. Os registros de ocorrência de incêndios foram fornecidos pela Klabin S/A e pelo Corpo de Guardabosques de Pinar del Río. Os resultados mostraram um maior número de ocorrências e uma menor área queimada em Monte Alegre. Os incêndios se concentraram nos meses de agosto a outubro (77,97% do total) em Monte Alegre e de março a maio (86,80%) em Pinar del Río. A cobertura vegetal mais afetada nas duas regiões foi “Pinus spp.” e a principal causa foi “incendiário” (71,66% do total) em Monte Alegre e “raios” (39,26%) em Pinar del Río. Conclui-se que há uma similaridade no perfil dos incêndios para os dois lugares, com exceção da época de incêndios.Palavras-chave: Estatísticas de incêndios; época de incêndios; prevenção de incêndios. AbstractComparison between the forest fires statistics in Monte Alegre, Brazil, and Pinar del Río, Cuba. It is important to determine where, when and why forest fires occur in order to structure the prevention and suppression within economically viable limits. This research was developed in order to compare the historical behavior of forest fires in the period 2002 to 2011 in the Forest District of Monte Alegre, Paraná State, Brazil, and forestry companies in the province of Pinar del Río, Cuba. Spatial and temporal distributions of fire occurrence were considered and the efficiency of fire control service was analyzed. Records of fire occurrence were provided by Klabin S/A and the Forest Department of Pinar del Río. The results revealed a higher number of occurrences and a lower burned area in Monte Alegre. The fires were concentrated from the month of August to October (77.97% of total) in Monte Alegre and March-May (86.80%) in Pinar del Río. The most affected vegetation in both regions was "Pinus spp" and the main cause of the occurrence was "incendiary" (71.66% of total) in Monte Alegre and "lightning" (39.26%) in Pinar del Río. There was a similarity in the fire profile for the two regions, except in the fire season.Keywords: Fire statistics; fire history; fire season; fire prevention.
EFICIÊNCIA E PRINCÍPIO DE FUNCIONAMENTO DE BARREIRA FÍSICA CÔNICA CONTRA AS QUENQUÉNS
Authors: Almeida Josie Tatiane Santos de , Medici Leonardo Oliveira , Aguiar-Menezes Elen de Lima
Published: August 2014

As formigas cortadeiras são importantes pragas agrícolas e florestais e podem ser controladas por diferentes métodos, entre os quais as barreiras físicas que impedem o acesso dessas formigas à planta. Objetivou-se avaliar a eficiência e o princípio de funcionamento de cones de lâmina de acetato em dois tamanhos de geratriz como barreiras físicas contra essas pragas. Dois experimentos foram conduzidos em quintal residencial em Petrópolis, RJ. Um dos experimento, usando pedaço de casca de laranja como isca atrativa para essas formigas, consistiu de três tratamentos: isca protegida com cone de 5,4 ou 10,8 cm de geratriz e isca sem cone (controle) (dez repetições/tratamento). No outro experimento, esses cones foram colocados em uma raiz de Araceae para conter intenso fluxo de formigas. Identificaram-se duas espécies de quenquéns: Acromyrmex niger (F. Smith) e Acromyrmex disciger (Mayr). Duas iscas foram cortadas pelas quenquéns quando protegidas pelo cone pequeno, nenhuma pelo cone grande e todas as iscas foram cortadas no controle. O fluxo das quenquéns na raiz foi contido pelo cone pequeno por apenas 10 minutos, enquanto que o cone grande o conteve durante as 3 horas de observação. A tendência das quenquéns em explorar preferencialmente a borda do cone pode explicar o seu funcionamento.Palavras-chave: Formicidae; Myrmicinae; Attini; barreira antiformiga; controle mecânico. AbstractThe efficiency and working principle of conical physical barrier against the leaf-cutting ants. The leaf-cutting ants are important agricultural and forest pests and may be controlled by different methods. Among them, the physical barriers that prevent the access of these ants to the plants. The present work aimed to evaluate the efficiency and the working principle of cones of acetate foil at two generatrix sizes as physical barriers against these pests. We conducted two experiments in home garden in the municipality of Petropolis, RJ. An experiment used slice of orange peel as attractant bait for leaf-cutting ants and three treatments: bait protected with cone of 5.4 or 10.8 cm of generatrix, and bait without cone (control) (ten replicates/treatment). In another experiment, we placed these cones on a root of Araceae in order to control the intense flow of ants. It was identified two species of leaf-cutting ants: Acromyrmex niger (F. Smith) and Acromyrmex disciger (Mayr). The leaf-cutting cut two baits protected by the small cone, none of the baits protected by the big cone, and cut all the baits in control. The flow of the leaf-cutting ants on the root was controlled by the small cone during only 10 minutes, while the big cone controlled the flow during the 3 hours of observation. The tendency of the leaf-cutting ants to explore preferentially the edge of the cone may explain its operation.Keywords: Formicidae; Myrmicinae; Attini; anti-ant barrier; mechanical control.