Airborne photogrammetry and LIDAR for DSM extraction and 3D change detection over an urban area : a comparative study

A digital surface model (DSM) extracted from stereoscopic aerial images, acquired in March 2000, is compared with a DSM derived from airborne light detection and ranging (lidar) data collected in July 2009. Three densely built-up study areas in the city centre of Ghent, Belgium, are selected, each covering approximately 0.4 km(2). The surface models, generated from the two different 3D acquisition methods, are compared qualitatively and quantitatively as to what extent they are suitable in modelling an urban environment, in particular for the 3D reconstruction of buildings. Then the data sets, which are acquired at two different epochs t(1) and t(2), are investigated as to what extent 3D (building) changes can be detected and modelled over the time interval. A difference model, generated by pixel-wise subtracting of both DSMs, indicates changes in elevation. Filters are proposed to differentiate 'real' building changes from false alarms provoked by model noise, outliers, vegetation, etc. A final 3D building change model maps all destructed and newly constructed buildings within the time interval t(2) - t(1). Based on the change model, the surface and volume of the building changes can be quantified

On the Importance of Electroweak Corrections for Majorana Dark Matter Indirect Detection

Recent analyses have shown that the inclusion of electroweak corrections can alter significantly the energy spectra of Standard Model particles originated from dark matter annihilations. We investigate the important situation where the radiation of electroweak gauge bosons has a substantial influence: a Majorana dark matter particle annihilating into two light fermions. This process is in p-wave and hence suppressed by the small value of the relative velocity of the annihilating particles. The inclusion of electroweak radiation eludes this suppression and opens up a potentially sizeable s-wave contribution to the annihilation cross section. We study this effect in detail and explore its impact on the fluxes of stable particles resulting from the dark matter annihilations, which are relevant for dark matter indirect searches. We also discuss the effective field theory approach, pointing out that the opening of the s-wave is missed at the level of dimension-six operators and only encoded by higher orders.Comment: 25 pages, 6 figures. Minor corrections to match version published in JCA

Automated Three-Dimensional Detection and Shape Classification of Dendritic Spines from Fluorescence Microscopy Images

A fundamental challenge in understanding how dendritic spine morphology controls learning and memory has been quantifying three-dimensional (3D) spine shapes with sufficient precision to distinguish morphologic types, and sufficient throughput for robust statistical analysis. The necessity to analyze large volumetric data sets accurately, efficiently, and in true 3D has been a major bottleneck in deriving reliable relationships between altered neuronal function and changes in spine morphology. We introduce a novel system for automated detection, shape analysis and classification of dendritic spines from laser scanning microscopy (LSM) images that directly addresses these limitations. The system is more accurate, and at least an order of magnitude faster, than existing technologies. By operating fully in 3D the algorithm resolves spines that are undetectable with standard two-dimensional (2D) tools. Adaptive local thresholding, voxel clustering and Rayburst Sampling generate a profile of diameter estimates used to classify spines into morphologic types, while minimizing optical smear and quantization artifacts. The technique opens new horizons on the objective evaluation of spine changes with synaptic plasticity, normal development and aging, and with neurodegenerative disorders that impair cognitive function

Topology Optimization via Machine Learning and Deep Learning: A Review

Topology optimization (TO) is a method of deriving an optimal design that satisfies a given load and boundary conditions within a design domain. This method enables effective design without initial design, but has been limited in use due to high computational costs. At the same time, machine learning (ML) methodology including deep learning has made great progress in the 21st century, and accordingly, many studies have been conducted to enable effective and rapid optimization by applying ML to TO. Therefore, this study reviews and analyzes previous research on ML-based TO (MLTO). Two different perspectives of MLTO are used to review studies: (1) TO and (2) ML perspectives. The TO perspective addresses "why" to use ML for TO, while the ML perspective addresses "how" to apply ML to TO. In addition, the limitations of current MLTO research and future research directions are examined

New insights into Capsicum spp relatedness and the diversification process of Capsicum annuum in Spain

The successful exploitation of germplasm banks, harbouring plant genetic resources indispensable for plant breeding, will depend on our ability to characterize their genetic diversity. The Vegetable Germplasm Bank of Zaragoza (BGHZ) (Spain) holds an important Capsicum annuum collection, where most of the Spanish pepper variability is represented, as well as several accessions of other domesticated and non-domesticated Capsicum spp from all over the five continents. In the present work, a total of 51 C. annuum landraces (mainly from Spain) and 51 accessions from nine Capsicum species maintained at the BGHZ were evaluated using 39 microsatellite (SSR) markers spanning the whole genome. The 39 polymorphic markers allowed the detection of 381 alleles, with an average of 9.8 alleles per locus. A sizeable proportion of alleles (41.2%) were recorded as specific alleles and the majority of these were present at very low frequencies (rare alleles). Multivariate and model-based analyses partitioned the collection in seven clusters comprising the ten different Capsicum spp analysed: C. annuum, C. chinense, C. frutescens, C. pubescens, C. bacatum, C. chacoense and C. eximium. The data clearly showed the close relationships between C. chinense and C. frutescens. C. cardenasii and C. eximium were indistinguishable as a single, morphologically variable species. Moreover, C. chacoense was placed between C. baccatum and C. pubescens complexes. The C. annuum group was structured into three main clusters, mostly according to the pepper fruit shape, size and potential pungency. Results suggest that the diversification of C. annuum in Spain may occur from a rather limited gene pool, still represented by few landraces with ancestral traits. This ancient population would suffer from local selection at the distinct geographical regions of Spain, giving way to pungent and elongated fruited peppers in the South and Center, while sweet blocky and triangular types in Northern Spain

Spatial Interaction of Agricultural Land Uses and their Impacts on Ecosystem Service Provision at the Landscape Scale

The relationship between agricultural land use and it impact on ecosystem services, including nutrient cycling and biodiversity conservation, is extremely complex. This complexity has been augmented by isolated research on the impact of agriculture land uses on the landscape's capacity to provide ecosystem services (ES) particularly in most vulnerable areas of Sub-Saharan Africa. Though a considerable number of studies emphasize the nexus between specific land use types and their impact on N-deposition across agriculture landscapes, a sufficient modeling basis for an empirical consideration of spatial interactions between different agricultural land use types at the landscape scale across rural-urbanizing areas in Sub-Saharan Africa is consistently missing. In view of this, the motivation to understand, assess and address significant roles that size, shape, spatial location, and interactivity of different land use patch types play in assessing land use interactions and their impact on ecosystem service provision and the overall landscape resilience necessitated the core of this PhD thesis. This thesis aimed at finding answers to the question of which assessment framework could be employed to understand the interaction of land use types and their impact on ecosystem services, the present thesis introduces a semi-quantitative assessment framework implemented in the GISCAME suite to provide scientific and practical answers to this question. Ahead of the framework development, a thorough review of land use planning documents from selected countries within the WASCAL project area to uncover the key relevance government places on incorporating the ES concept was undertaken. This was with the view that mentioning the concept in such legal document alone does not suggest its relevance if road maps for their implementation is not sufficiently provided, with laid down institutional provisions, roles, responsibilities, support systems and commitments. The outcome of this objective significantly influenced the subsequent objectives of this thesis. Subsequently, I employed Voronoi tessellation and midpoint displacement algorithms implemented in the Structure Generator (SG4GISCAME) to generate alternative land use mosaics to mimic the patchy agricultural landscape character of the study area. The key objective here was to present the output of this alternative landscape as a partial solution to the data scarcity issue which hinders mapping and hypothetical testing of the landscape structure and their role in landscape resilience. To achieve the objective of identifying core sets of landscape indicators to explore the significant influence of the landscape structure and pattern as an influence on landscape resilience, I employed analytical and statistical multivariate principal component and factor analysis to eliminate the landscape metric redundancy. The outcome helped to propose core set as indicators capable to be used for ecosystem services assessment and land use planning. The result revealed that only 6 landscape metrics had the capacity to explicitly define the configuration and compositional landscape character of the Vea catchment area. This result served a critical input into the development of the assessment framework. In developing a framework to assess the contribution of the landscape spatial structure to the resilience of the socio-ecological system (SES), I mapped the capacity of the landscape structure to provide regulating ecosystem services with the aid of land use maps as proxies. Analytical Hierarchical Processes and Expert stakeholder approaches were used to identify and subsequently map key regulating ES identified from the catchment area. Following, a multi-criteria analysis was employed to link stakeholder mapping and landscape metrics to provide a functional understanding of the interrelationship of both methods and how they provide integrative insights into the landscape resilience and ES trade-off concepts respectively. This assessment was undertaken using a 2012 multi-temporal RapidEye land use classification data and implemented with the aid of the cellular automaton module in GISCAME. In the absence of explicit ecological modeling and spatial data, the result of this methodology provides a comprehensively rich ES assessment approach not only for the research area, but for transferability across West Africa. The result of this assessment is to inform, across governance levels, different planning, and development scenarios with the potential to alter the landscapes structural character and thereby impede ES flow and resilience of the SES. Indirectly, the relevance of the landscape structure to land use planning was significant across the outcomes of the thesis. Further, the approach establishes potential trade-offs and synergies across the agricultural landscapes structure and thereby suggest planning and management supports to optimize agricultural production and improve ecosystem service flows in Sub-Saharan Africa. Overall, the implementation of the multi-criteria evaluation function in GISCAME demonstrated beyond question, the functional relevance of the GISCAME software tool as the only tried and tested ES integration framework implemented within the WASCAL project area

Relationships between surface pollen and vegetation in the Meiling Mountains, southeast China : an aid to reconstruct past vegetation dynamics

Understanding the relationships between modern pollen deposits and their surrounding vegetation is an important tool to improve the quality of reconstructions and interpretations of past vegetation changes from fossil pollen records. The overall aim of this research project is to validate and calibrate mathematical models of relationships for assemblages deposited in peatland and forest landscapes in southeast China, which will form an essential basis for quantitative reconstruction of past land cover from Quaternary peat deposits in the region. This field study area presents great challenges, being spatially large in extent compared to studies in northwestern Europe and of difficult and inaccessible mountainous terrain, which makes the vegetation survey (10m-100m) time-consuming.Firstly, a study to decide whether to use moss or soil surface samples is presented. 42 paired moss and soils sample were collected in the five main forest types. Similar levels of variation in the pollen spectra are seen, but there are systematic differences in the mean values of key groups of taxa. Moss polsters are chosen since they record the most accurate representation of the contemporary vegetation.Secondly, the behaviour of several pollen dispersal and deposition models is tested against a grassland-forest transect. The Prentice-Sugita model passed the test and is therefore considered suitable for use.Thirdly, the first estimates of relative pollen productivity (RPP) for 9 key taxa (Castanea, Cryptomeria, Cyclobalanopsis, Liquidambar, Pinus, Poaceae, Quercus, Rosaceae and Theaceae) are presented. Two alternative methods (modified Davis method and iteration method) for estimating RPP are also developed, which have great potential for use in wider areas.Fourthly, wetland herb taxa are important in the pollen spectra from mire records, therefore surface samples were taken from a mire surface. They show that there are inter-annual differences in pollen from wetland herbs.Finally, the discussion presents suggestions for how these findings can be best applied to land-cover reconstruction, explores the strengths and limitations of the study and identifies future directions which such work could take

Effects of Trophic Skewing of Species Richness on Ecosystem Functioning in a Diverse Marine Community

Widespread overharvesting of top consumers of the world’s ecosystems has “skewed” food webs, in terms of biomass and species richness, towards a generally greater domination at lower trophic levels. This skewing is exacerbated in locations where exotic species are predominantly low-trophic level consumers such as benthic macrophytes, detritivores, and filter feeders. However, in some systems where numerous exotic predators have been added, sometimes purposefully as in many freshwater systems, food webs are skewed in the opposite direction toward consumer dominance. Little is known about how such modifications to food web topology, e.g., changes in the ratio of predator to prey species richness, affect ecosystem functioning. We experimentally measured the effects of trophic skew on production in an estuarine food web by manipulating ratios of species richness across three trophic levels in experimental mesocosms. After 24 days, increasing macroalgal richness promoted both plant biomass and grazer abundance, although the positive effect on plant biomass disappeared in the presence of grazers. The strongest trophic cascade on the experimentally stocked macroalgae emerged in communities with a greater ratio of prey to predator richness (bottom-rich food webs), while stronger cascades on the accumulation of naturally colonizing algae (primarily microalgae with some early successional macroalgae that recruited and grew in the mesocosms) generally emerged in communities with greater predator to prey richness (the more top-rich food webs). These results suggest that trophic skewing of species richness and overall changes in food web topology can influence marine community structure and food web dynamics in complex ways, emphasizing the need for multitrophic approaches to understand the consequences of marine extinctions and invasions

Understanding and Optimizing Flash-based Key-value Systems in Data Centers

Flash-based key-value systems are widely deployed in today’s data centers for providing high-speed data processing services. These systems deploy flash-friendly data structures, such as slab and Log Structured Merge(LSM) tree, on flash-based Solid State Drives(SSDs) and provide efficient solutions in caching and storage scenarios. With the rapid evolution of data centers, there appear plenty of challenges and opportunities for future optimizations. In this dissertation, we focus on understanding and optimizing flash-based key-value systems from the perspective of workloads, software, and hardware as data centers evolve. We first propose an on-line compression scheme, called SlimCache, considering the unique characteristics of key-value workloads, to virtually enlarge the cache space, increase the hit ratio, and improve the cache performance. Furthermore, to appropriately configure increasingly complex modern key-value data systems, which can have more than 50 parameters with additional hardware and system settings, we quantitatively study and compare five multi-objective optimization methods for auto-tuning the performance of an LSM-tree based key-value store in terms of throughput, the 99th percentile tail latency, convergence time, real-time system throughput, and the iteration process, etc. Last but not least, we conduct an in-depth, comprehensive measurement work on flash-optimized key-value stores with recently emerging 3D XPoint SSDs. We reveal several unexpected bottlenecks in the current key-value store design and present three exemplary case studies to showcase the efficacy of removing these bottlenecks with simple methods on 3D XPoint SSDs. Our experimental results show that our proposed solutions significantly outperform traditional methods. Our study also contributes to providing system implications for auto-tuning the key-value system on flash-based SSDs and optimizing it on revolutionary 3D XPoint based SSDs