Application-based workload model for wireless sensor node computing platforms

Wireless sensor node platforms are very diversified and very constrained, particularly in power consumption. When choosing or sizing a platform for a given application, it is necessary to be able to evaluate in an early design stage the impact of those choices. Applied to the computing platform implemented on the sensor node, it requires a good understanding of the workload it must perform. Nevertheless, this workload is highly application-dependent. It depends on the data sampling frequency together with application-specific data processing and management. It is thus necessary to have a model that can represent the workload of applications with various needs and characteristics. In this paper, we propose a workload model for wireless sensor node computing platforms. This model is based on a synthetic application that models the different computational tasks that the computing platform will perform to process sensor data. It allows to model the workload of various different applications by tuning data sampling rate and processing. A case study is performed by modeling different applications and by showing how it can be used for workload characterization. © 2011 IEEE.

Fault Location on a Distribution Network Using a Decentralised Analysis Process

A reduction in the time required to locate and restore faults on a utility's distribution network improves the customer minutes lost (CML) measurement and hence brings direct cost savings to the operating company. The traditional approach to fault location involves fault impedance determination from high volume waveform files dispatched across a communications channel to a central location for processing and analysis. This paper examines an alternative scheme where data processing is undertaken locally within a recording instrument thus reducing the volume of data to be transmitted. Processed event fault reports may be emailed to relevant operational staff for the timely repair and restoration of the line.

Earthmoving trucks condition level prediction using neural networks

Purpose: The purpose of this paper is to present an artificial neural network (ANN) model that predicts earthmoving trucks condition level using simple predictors; the model’s performance is compared to the respective predictive accuracy of the statistical method of discriminant analysis (DA).

Design/methodology/approach: An ANN-based predictive model is developed. The condition level predictors selected are the capacity, age, kilometers travelled and maintenance level. The relevant data set was provided by two Greek construction companies and includes the characteristics of 126 earthmoving trucks.

Findings: Data processing identifies a particularly strong connection of kilometers travelled and maintenance level with the earthmoving trucks condition level. Moreover, the validation process reveals that the predictive efficiency of the proposed ANN model is very high. Similar findings emerge from the application of DA to the same data set using the same predictors.

Originality/value: Earthmoving trucks’ sound condition level prediction reduces downtime and its adverse impact on earthmoving duration and cost, while also enhancing the maintenance and replacement policies effectiveness. This research proves that a sound condition level prediction for earthmoving trucks is achievable through the utilization of easy to collect data and provides a comparative evaluation of the results of two widely applied predictive methods.

Hybrid address spaces: A methodology for implementing scalable high-level programming models on non-coherent many-core architectures

This paper introduces hybrid address spaces as a fundamental design methodology for implementing scalable runtime systems on many-core architectures without hardware support for cache coherence. We use hybrid address spaces for an implementation of MapReduce, a programming model for large-scale data processing, and the implementation of a remote memory access (RMA) model. Both implementations are available on the Intel SCC and are portable to similar architectures. We present the design and implementation of HyMR, a MapReduce runtime system whereby different stages and the synchronization operations between them alternate between a distributed memory address space and a shared memory address space, to improve performance and scalability. We compare HyMR to a reference implementation and we find that HyMR improves performance by a factor of 1.71× over a set of representative MapReduce benchmarks. We also compare HyMR with Phoenix++, a state-of-art implementation for systems with hardware-managed cache coherence in terms of scalability and sustained to peak data processing bandwidth, where HyMR demon- strates improvements of a factor of 3.1× and 3.2× respectively. We further evaluate our hybrid remote memory access (HyRMA) programming model and assess its performance to be superior of that of message passing.

Mobile Wearable Communications

This special issue provides the latest research and development on wireless mobile wearable communications. According to a report by Juniper Research, the market value of connected wearable devices is expected to reach $1.5 billion by 2014, and the shipment of wearable devices may reach 70 million by 2017. Good examples of wearable devices are the prominent Google Glass and Microsoft HoloLens. As wearable technology is rapidly penetrating our daily life, mobile wearable communication is becoming a new communication paradigm. Mobile wearable device communications create new challenges compared to ordinary sensor networks and short-range communication. In mobile wearable communications, devices communicate with each other in a peer-to-peer fashion or client-server fashion and also communicate with aggregation points (e.g., smartphones, tablets, and gateway nodes). Wearable devices are expected to integrate multiple radio technologies for various applications' needs with small power consumption and low transmission delays. These devices can hence collect, interpret, transmit, and exchange data among supporting components, other wearable devices, and the Internet. Such data are not limited to people's personal biomedical information but also include human-centric social and contextual data. The success of mobile wearable technology depends on communication and networking architectures that support efficient and secure end-to-end information flows. A key design consideration of future wearable devices is the ability to ubiquitously connect to smartphones or the Internet with very low energy consumption. Radio propagation and, accordingly, channel models are also different from those in other existing wireless technologies. A huge number of connected wearable devices require novel big data processing algorithms, efficient storage solutions, cloud-assisted infrastructures, and spectrum-efficient communications technologies.

Time-lapse monitoring of fluid induced geophysical property variations within an unstable earthwork using P-wave refraction

A significant portion of the UK’s transportation system relies on a network of geotechnical earthworks (cuttings and embankments) that were constructed more than 100 years ago, whose stability is affected by the change in precipitation patterns experienced over the past few decades. The vulnerability of these structures requires a reliable, cost- and time-effective monitoring of their geomechanical condition. We have assessed the potential application of P-wave refraction for tracking the seasonal variations of seismic properties within an aged clay-filled railway embankment, located in southwest England. Seismic data were acquired repeatedly along the crest of the earthwork at regular time intervals, for a total period of 16 months. P-wave first-break times were picked from all available recorded traces, to obtain a set of hodocrones referenced to the same spatial locations, for various dates along the surveyed period of time. Traveltimes extracted from each acquisition were then compared to track the pattern of their temporal variability. The relevance of such variations over time was compared with the data experimental uncertainty. The multiple set of hodocrones was subsequently inverted using a tomographic approach, to retrieve a time-lapse model of VPVP for the embankment structure. To directly compare the reconstructed VPVP sections, identical initial models and spatial regularization were used for the inversion of all available data sets. A consistent temporal trend for P-wave traveltimes, and consequently for the reconstructed VPVP models, was identified. This pattern could be related to the seasonal distribution of precipitation and soil-water content measured on site.

Acceleration-as-a-Service: Exploiting Virtualised GPUs for a Financial Application

How can GPU acceleration be obtained as a service in a cluster? This question has become increasingly significant due to the inefficiency of installing GPUs on all nodes of a cluster. The research reported in this paper is motivated to address the above question by employing rCUDA (remote CUDA), a framework that facilitates Acceleration-as-a-Service (AaaS), such that the nodes of a cluster can request the acceleration of a set of remote GPUs on demand. The rCUDA framework exploits virtualisation and ensures that multiple nodes can share the same GPU. In this paper we test the feasibility of the rCUDA framework on a real-world application employed in the financial risk industry that can benefit from AaaS in the production setting. The results confirm the feasibility of rCUDA and highlight that rCUDA achieves similar performance compared to CUDA, provides consistent results, and more importantly, allows for a single application to benefit from all the GPUs available in the cluster without loosing efficiency.

O currículo das ciências físicas e naturais na perspetiva docente: saberes profissionais e possibilidades de ação

O atual contexto social de aceleração exponencial, resultante de alterações políticas, económicas e do acesso imediato a um extenso conjunto de informações e a um manancial de desenvolvimentos científicos e tecnológicos, cujas implicações são imprevisíveis e transversais a diferentes setores, está em dissonância com as características do modelo escolar dominante e a naturalizada ‘gramática da escola’ (Formosinho & Machado, 2008; Nóvoa, 2009a; Tyack & Tobin, 1994). Este desfasamento, amplificado em países com sistemas de ensino de matriz centralizada, resvala entre uma ação docente acrítica e executora e, em oposição, uma ação docente de natureza profissional, caracterizada por um alinhamento entre o desenvolvimento profissional e a afirmação da especificidade do conhecimento profissional docente, enquanto saber que se constrói na interação com os outros, com o próprio, nos e sobre os contextos de prática. A implementação do processo de reorganização curricular do ensino básico (Decreto-Lei n.º 6/2001, de 18 de janeiro) redefiniu o currículo nacional segundo duas perspetivas: a nacional e a local, veiculando uma conceção curricular flexível e emancipatória, isto é, uma proposta curricular que confere aos professores autonomia no desenvolvimento e gestão do currículo, instigando-os à realização de práticas curriculares com intencionalidade pedagógica estratégica. Neste sentido, a pretensão desta investigação situou-se ao nível da problematização de saberes profissionais e da concetualização de algumas possibilidades de ação tangenciais à capacidade de autotransformação de cada profissional docente e da escola. As opções metodológicas consideradas visaram, sobretudo, compreender quais os possíveis conhecimentos profissionais mobilizados por professores de Ciências Físicas e Naturais, em particular ao nível do desenvolvimento e gestão do currículo desta área curricular. Assim, perspetivado sob a forma de questão enquadradora, o problema que esteve na génese desta investigação assume a seguinte formulação: Que conhecimento mobilizam professores do ensino básico no desenvolvimento e na gestão do currículo das Ciências Físicas e Naturais? De que forma e com que ações poderá ser potenciado esse conhecimento nos processos de ensino e aprendizagem? O estudo empírico que sustentou este projeto de investigação organizou-se em dois momentos distintos. O primeiro, de natureza predominantemente quantitativa e dimensão de análise extensiva, envolveu a administração de um inquérito por questionário a professores de Ciências Físicas e Naturais que, no ano letivo de 2006/2007, se encontravam a lecionar em escolas públicas com 2.º e 3.º ciclos afetas à Direção Regional de Educação do Norte e ao, anteriormente, designado Centro de Área Educativa de Aveiro. Com um enfoque preponderantemente qualitativo, o segundo momento do estudo decorreu ao longo do ano letivo de 2007/2008 num agrupamento de escolas da região norte do país e consistiu na realização de entrevistas a oito professores de Ciências Físicas e Naturais, à coordenadora do departamento de Matemática e Ciências Experimentais e aos presidentes do Conselho Pedagógico e do Conselho Executivo. Ao longo do ano letivo, os professores de Ciências Físicas e Naturais desenvolveram, igualmente, um percurso formativo cuja ênfase se situava ao nível da adequação do desenvolvimento e gestão do currículo desta área disciplinar. As técnicas de tratamento de dados privilegiadas foram a análise estatística e a análise de conteúdo. Os resultados deste estudo apontam para a prevalência de uma ação docente desprovida de intencionalidades pedagógica e curricular ou de integração na construção do corpo geral do saber, designadamente ao nível dos processos de desenvolvimento e gestão do currículo. Não obstante alguma familiarização com conceitos inerentes à dimensão do conhecimento do currículo, os indicadores de reapropriação ao nível da ação docente foram escassos, denunciando a presença de constrangimentos no domínio teórico das orientações curriculares nacionais e locais, bem como no desenvolvimento de práticas curriculares articuladas e estrategicamente definidas. Por outro lado, o predomínio de uma ação docente tendencialmente acrítica, de matriz executora, associada ao cumprimento de normativos legais e de rotinas e burocracias instituídas, indiciou fragilidades ao nível do conhecimento profissional configurado como mobilização complexa, organizada e coerente de conhecimentos científicos, curriculares, pedagógicos e metodológicos, em função da especificidade de cada situação educativa e cuja finalidade é a otimização da aprendizagem do aluno. O percurso formativo afigurou-se como um espaço de partilha e de reflexão colegial, propício ao desenvolvimento de ações que se inserem numa perspetiva de ‘action learning’, possibilitando a reflexão e a aprendizagem através de ações empreendidas em função de práticas educativas. As possibilidades de ação remetem para a integração da formação contínua em contexto, com intencionalidades pedagógicas e curriculares estrategicamente definidas, e a problematização da formação inicial e contínua dos professores, envolvendo as perspetivas de diferentes atores educativos e de investigadores educacionais.

NMR in the characterization of heavy residual procedural streams

The main objective of this work was to monitor a set of physical-chemical properties of heavy oil procedural streams through nuclear magnetic resonance spectroscopy, in order to propose an analysis procedure and online data processing for process control. Different statistical methods which allow to relate the results obtained by nuclear magnetic resonance spectroscopy with the results obtained by the conventional standard methods during the characterization of the different streams, have been implemented in order to develop models for predicting these same properties. The real-time knowledge of these physical-chemical properties of petroleum fractions is very important for enhancing refinery operations, ensuring technically, economically and environmentally proper refinery operations. The first part of this work involved the determination of many physical-chemical properties, at Matosinhos refinery, by following some standard methods important to evaluate and characterize light vacuum gas oil, heavy vacuum gas oil and fuel oil fractions. Kinematic viscosity, density, sulfur content, flash point, carbon residue, P-value and atmospheric and vacuum distillations were the properties analysed. Besides the analysis by using the standard methods, the same samples were analysed by nuclear magnetic resonance spectroscopy. The second part of this work was related to the application of multivariate statistical methods, which correlate the physical-chemical properties with the quantitative information acquired by nuclear magnetic resonance spectroscopy. Several methods were applied, including principal component analysis, principal component regression, partial least squares and artificial neural networks. Principal component analysis was used to reduce the number of predictive variables and to transform them into new variables, the principal components. These principal components were used as inputs of the principal component regression and artificial neural networks models. For the partial least squares model, the original data was used as input. Taking into account the performance of the develop models, by analysing selected statistical performance indexes, it was possible to conclude that principal component regression lead to worse performances. When applying the partial least squares and artificial neural networks models better results were achieved. However, it was with the artificial neural networks model that better predictions were obtained for almost of the properties analysed. With reference to the results obtained, it was possible to conclude that nuclear magnetic resonance spectroscopy combined with multivariate statistical methods can be used to predict physical-chemical properties of petroleum fractions. It has been shown that this technique can be considered a potential alternative to the conventional standard methods having obtained very promising results.

Ressonância magnética em estudos de produção de fala

Estudar os mecanismos subjacentes à produção de fala é uma tarefa complexa e exigente, requerendo a obtenção de dados mediante a utilização de variadas técnicas, onde se incluem algumas modalidades imagiológicas. De entre estas, a Ressonância Magnética (RM) tem ganho algum destaque, nos últimos anos, posicionando-se como uma das mais promissoras no domínio da produção de fala. Um importante contributo deste trabalho prende-se com a otimização e implementação de protocolos (RM) e proposta de estratégias de processamento de imagem ajustados aos requisitos da produção de fala, em geral, e às especificidades dos diferentes sons. Para além disso, motivados pela escassez de dados para o Português Europeu (PE), constitui-se como objetivo a obtenção de dados articulatórios que permitam complementar informação já existente e clarificar algumas questões relativas à produção dos sons do PE (nomeadamente, consoantes laterais e vogais nasais). Assim, para as consoantes laterais foram obtidas imagens RM (2D e 3D), através de produções sustidas, com recurso a uma sequência Eco de Gradiente (EG) rápida (3D VIBE), no plano sagital, englobando todo o trato vocal. O corpus, adquirido por sete falantes, contemplou diferentes posições silábicas e contextos vocálicos. Para as vogais nasais, foram adquiridas, em três falantes, imagens em tempo real com uma sequência EG - Spoiled (TurboFLASH), nos planos sagital e coronal, obtendo-se uma resolução temporal de 72 ms (14 frames/s). Foi efetuada aquisição sincronizada das imagens com o sinal acústico mediante utilização de um microfone ótico. Para o processamento e análise de imagem foram utilizados vários algoritmos semiautomáticos. O tratamento e análise dos dados permitiu efetuar uma descrição articulatória das consoantes laterais, ancorada em dados qualitativos (e.g., visualizações 3D, comparação de contornos) e quantitativos que incluem áreas, funções de área do trato vocal, extensão e área das passagens laterais, avaliação de efeitos contextuais e posicionais, etc. No que respeita à velarização da lateral alveolar /l/, os resultados apontam para um /l/ velarizado independentemente da sua posição silábica. Relativamente ao /L/, em relação ao qual a informação disponível era escassa, foi possível verificar que a sua articulação é bastante mais anteriorizada do que tradicionalmente descrito e também mais extensa do que a da lateral alveolar. A resolução temporal de 72 ms conseguida com as aquisições de RM em tempo real, revelou-se adequada para o estudo das características dinâmicas das vogais nasais, nomeadamente, aspetos como a duração do gesto velar, gesto oral, coordenação entre gestos, etc. complementando e corroborando resultados, já existentes para o PE, obtidos com recurso a outras técnicas instrumentais. Para além disso, foram obtidos novos dados de produção relevantes para melhor compreensão da nasalidade (variação área nasal/oral no tempo, proporção nasal/oral). Neste estudo, fica patente a versatilidade e potencial da RM para o estudo da produção de fala, com contributos claros e importantes para um melhor conhecimento da articulação do Português, para a evolução de modelos de síntese de voz, de base articulatória, e para aplicação futura em áreas mais clínicas (e.g., perturbações da fala).

Metabolic signature of lung cancer: a metabolomic study of human tissues and biofluids

This thesis reports the application of metabolomics to human tissues and biofluids (blood plasma and urine) to unveil the metabolic signature of primary lung cancer. In Chapter 1, a brief introduction on lung cancer epidemiology and pathogenesis, together with a review of the main metabolic dysregulations known to be associated with cancer, is presented. The metabolomics approach is also described, addressing the analytical and statistical methods employed, as well as the current state of the art on its application to clinical lung cancer studies. Chapter 2 provides the experimental details of this work, in regard to the subjects enrolled, sample collection and analysis, and data processing. In Chapter 3, the metabolic characterization of intact lung tissues (from 56 patients) by proton High Resolution Magic Angle Spinning (HRMAS) Nuclear Magnetic Resonance (NMR) spectroscopy is described. After careful assessment of acquisition conditions and thorough spectral assignment (over 50 metabolites identified), the metabolic profiles of tumour and adjacent control tissues were compared through multivariate analysis. The two tissue classes could be discriminated with 97% accuracy, with 13 metabolites significantly accounting for this discrimination: glucose and acetate (depleted in tumours), together with lactate, alanine, glutamate, GSH, taurine, creatine, phosphocholine, glycerophosphocholine, phosphoethanolamine, uracil nucleotides and peptides (increased in tumours). Some of these variations corroborated typical features of cancer metabolism (e.g., upregulated glycolysis and glutaminolysis), while others suggested less known pathways (e.g., antioxidant protection, protein degradation) to play important roles. Another major and novel finding described in this chapter was the dependence of this metabolic signature on tumour histological subtype. While main alterations in adenocarcinomas (AdC) related to phospholipid and protein metabolisms, squamous cell carcinomas (SqCC) were found to have stronger glycolytic and glutaminolytic profiles, making it possible to build a valid classification model to discriminate these two subtypes. Chapter 4 reports the NMR metabolomic study of blood plasma from over 100 patients and near 100 healthy controls, the multivariate model built having afforded a classification rate of 87%. The two groups were found to differ significantly in the levels of lactate, pyruvate, acetoacetate, LDL+VLDL lipoproteins and glycoproteins (increased in patients), together with glutamine, histidine, valine, methanol, HDL lipoproteins and two unassigned compounds (decreased in patients). Interestingly, these variations were detected from initial disease stages and the magnitude of some of them depended on the histological type, although not allowing AdC vs. SqCC discrimination. Moreover, it is shown in this chapter that age mismatch between control and cancer groups could not be ruled out as a possible confounding factor, and exploratory external validation afforded a classification rate of 85%. The NMR profiling of urine from lung cancer patients and healthy controls is presented in Chapter 5. Compared to plasma, the classification model built with urinary profiles resulted in a superior classification rate (97%). After careful assessment of possible bias from gender, age and smoking habits, a set of 19 metabolites was proposed to be cancer-related (out of which 3 were unknowns and 6 were partially identified as N-acetylated metabolites). As for plasma, these variations were detected regardless of disease stage and showed some dependency on histological subtype, the AdC vs. SqCC model built showing modest predictive power. In addition, preliminary external validation of the urine-based classification model afforded 100% sensitivity and 90% specificity, which are exciting results in terms of potential for future clinical application. Chapter 6 describes the analysis of urine from a subset of patients by a different profiling technique, namely, Ultra-Performance Liquid Chromatography coupled to Mass Spectrometry (UPLC-MS). Although the identification of discriminant metabolites was very limited, multivariate models showed high classification rate and predictive power, thus reinforcing the value of urine in the context of lung cancer diagnosis. Finally, the main conclusions of this thesis are presented in Chapter 7, highlighting the potential of integrated metabolomics of tissues and biofluids to improve current understanding of lung cancer altered metabolism and to reveal new marker profiles with diagnostic value.

Déterminants et significations des conduites d’hypertravail : une approche psychosociale et systémique- le cas des travailleurs et des travailleuses des secteurs du multimédia et des services informatiques

Loin de la réduction pressentie du temps de travail et de l’émergence d’une société des loisirs, est plutôt observé, depuis une trentaine d’années, un accroissement du temps consacré au travail pour les travailleurs les plus qualifiés, au Québec comme dans la plupart des sociétés occidentales (Burke et Cooper, 2008; Lapointe, 2005; Lee, 2007). Dans un contexte où les « arrangements temporels » (Thoemmes, 2000) tendent à s’individualiser de façon à mieux prendre en compte les réalités et les besoins des salariés et salariées tout comme ceux des organisations, cette thèse interroge le caractère « volontaire » des conduites d’hypertravail observées chez les travailleurs et les travailleuses des secteurs des services informatiques et du multimédia. Elle s’attarde plus particulièrement aux processus psychosociaux qui sous-tendent la construction de ces conduites. Inscrite au sein d’une approche psychosociale et systémique, notre recherche articule une théorie qui met en résonance les fonctionnements individuel et organisationnel, soutenue par le modèle du Système psychique organisationnel (Aubert et de Gaulejac, 1991), et une théorie de la socialisation plurielle et active, soutenue par le modèle du Système des activités (Baubion-Broye et Hajjar, 1998; Curie, 2000). Opérationnalisée selon une grille articulée autour de cinq niveaux d’analyse (intra-individuel, interpersonnel, positionnel, idéologique et de la tâche et de l’organisation du travail), nous avons mené 34 entretiens biographiques (26 hommes et 8 femmes) auprès de salariés et salariées des secteurs des services informatiques et du multimédia. Les résultats mettent en évidence trois types de processus menant à l’adoption de conduites d’hypertravail ; un cas-type qui illustre un processus de renforcement d’une identité professionnelle de « grand travailleur » ; un cas-type qui rend compte d’un processus de suraffiliation organisationnelle et d’assujettissement de la vie hors-travail; et un cas-type qui expose le maintien d’une conduite d’hypertravail défensive, dans un contexte de mise à l’épreuve organisationnelle. Au final, les résonances particulières observées entre ces niveaux et facteurs nous amènent à souligner l’intérêt de mieux comprendre l’hypertravail en prenant en compte les significations que les individus donnent à leurs conduites, à partir d’un regard diachronique et synchronique. Nous discutons également du caractère dynamique et évolutif de la relation individu-collectif-organisation et du rôle différencié des organisations et des collectifs de travail dans la construction des conduites d’hypertravail. Nous relevons enfin certaines implications des nouvelles pratiques et normes de temps de travail observées dans ces organisations, favorables au développement et au maintien de l’hypertravail. Mots-clés : temps de travail, longues heures de travail, conduites d’hypertravail, articulation travail-vie personnelle, socialisation plurielle et active, domination au travail.

A gestão da formação na sucursal da Mundiserviços em Cabo Verde

Relatório de estágio de mestrado, Ciências da Educação (Formação de Adultos), Universidade de Lisboa, Instituto de Educação, 2011

Quantifying Submerged Fluvial Topography Using Hyperspatial Resolution UAS Imagery and Structure From Motion Photogrammetry.

Quantifying the topography of rivers and their associated bedforms has been a fundamental concern of fluvial geomorphology for decades. Such data, acquired at high temporal and spatial resolutions, are increasingly in demand for process-oriented investigations of flow hydraulics, sediment dynamics and in-stream habitat. In these riverine environments, the most challenging region for topographic measurement is the wetted, submerged channel. Generally, dry bed topography and submerged bathymetry are measured using different methods and technology. This adds to the costs, logistical challenges and data processing requirements of comprehensive river surveys. However, some technologies are capable of measuring the submerged topography. Through-water photogrammetry and bathymetric LiDAR are capable of reasonably accurate measurements of channel beds in clear water. Whilst the cost of bathymetric LiDAR remains high and its resolution relatively coarse, the recent developments in photogrammetry using Structure from Motion (SfM) algorithms promise a fundamental shift in the accessibility of topographic data for a wide range of settings. Here we present results demonstrating the potential of so called SfM-photogrammetry for quantifying both exposed and submerged fluvial topography at the mesohabitat scale. We show that imagery acquired from a rotary-winged Unmanned Aerial System (UAS) can be processed in order to produce digital elevation models (DEMs) with hyperspatial resolutions (c. 0.02 m) for two different river systems over channel lengths of 50-100 m. Errors in submerged areas range from 0.016 m to 0.089 m, which can be reduced to between 0.008 m and 0.053 m with the application of a simple refraction correction. This work therefore demonstrates the potential of UAS platforms and SfM-photogrammetry as a single technique for surveying fluvial topography at the mesoscale (defined as lengths of channel from c.10 m to a few hundred metres). This article is protected by copyright. All rights reserved.