Allocation of Parallel Real-Time Tasks in Distributed Multi-core Architectures supported by an FTT-SE Network

Distributed real-time systems such as automotive applications are becoming larger and more complex, thus, requiring the use of more powerful hardware and software architectures. Furthermore, those distributed applications commonly have stringent real-time constraints. This implies that such applications would gain in flexibility if they were parallelized and distributed over the system. In this paper, we consider the problem of allocating fixed-priority fork-join Parallel/Distributed real-time tasks onto distributed multi-core nodes connected through a Flexible Time Triggered Switched Ethernet network. We analyze the system requirements and present a set of formulations based on a constraint programming approach. Constraint programming allows us to express the relations between variables in the form of constraints. Our approach is guaranteed to find a feasible solution, if one exists, in contrast to other approaches based on heuristics. Furthermore, approaches based on constraint programming have shown to obtain solutions for these type of formulations in reasonable time.

A framework for using real data with distributed low cost sensors

Currently, due to the widespread use of computers and the internet, students are trading libraries for the World Wide Web and laboratories with simulation programs. In most courses, simulators are made available to students and can be used to proof theoretical results or to test a developing hardware/product. Although this is an interesting solution: low cost, easy and fast way to perform some courses work, it has indeed major disadvantages. As everything is currently being done with/in a computer, the students are loosing the “feel” of the real values of the magnitudes. For instance in engineering studies, and mainly in the first years, students need to learn electronics, algorithmic, mathematics and physics. All of these areas can use numerical analysis software, simulation software or spreadsheets and in the majority of the cases data used is either simulated or random numbers, but real data could be used instead. For example, if a course uses numerical analysis software and needs a dataset, the students can learn to manipulate arrays. Also, when using the spreadsheets to build graphics, instead of using a random table, students could use a real dataset based, for instance, in the room temperature and its variation across the day. In this work we present a framework which uses a simple interface allowing it to be used by different courses where the computers are the teaching/learning process in order to give a more realistic feeling to students by using real data. A framework is proposed based on a set of low cost sensors for different physical magnitudes, e.g. temperature, light, wind speed, which are connected to a central server, that the students have access with an Ethernet protocol or are connected directly to the student computer/laptop. These sensors use the communication ports available such as: serial ports, parallel ports, Ethernet or Universal Serial Bus (USB). Since a central server is used, the students are encouraged to use sensor values results in their different courses and consequently in different types of software such as: numerical analysis tools, spreadsheets or simply inside any programming language when a dataset is needed. In order to do this, small pieces of hardware were developed containing at least one sensor using different types of computer communication. As long as the sensors are attached in a server connected to the internet, these tools can also be shared between different schools. This allows sensors that aren't available in a determined school to be used by getting the values from other places that are sharing them. Another remark is that students in the more advanced years and (theoretically) more know how, can use the courses that have some affinities with electronic development to build new sensor pieces and expand the framework further. The final solution provided is very interesting, low cost, simple to develop, allowing flexibility of resources by using the same materials in several courses bringing real world data into the students computer works.

Platform for Smart Car to Car Content Delivery: Results of CISTER Research Centre within CarCoDe project

Poster presented in Redes de Veiculos nas sociedades do futuro (RVSF 2015). 3, Jun, 2015. Castelo Branco, Portugal.

Task partitioning and priority assignment for distributed hard real-time systems

In this paper, we propose the Distributed using Optimal Priority Assignment (DOPA) heuristic that finds a feasible partitioning and priority assignment for distributed applications based on the linear transactional model. DOPA partitions the tasks and messages in the distributed system, and makes use of the Optimal Priority Assignment (OPA) algorithm known as Audsley’s algorithm, to find the priorities for that partition. The experimental results show how the use of the OPA algorithm increases in average the number of schedulable tasks and messages in a distributed system when compared to the use of Deadline Monotonic (DM) usually favoured in other works. Afterwards, we extend these results to the assignment of Parallel/Distributed applications and present a second heuristic named Parallel-DOPA (P-DOPA). In that case, we show how the partitioning process can be simplified by using the Distributed Stretch Transformation (DST), a parallel transaction transformation algorithm introduced in [1].

XDense: A Dense Grid Sensor Network for Distributed Feature Extraction

XXXIII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos (SBRC 2015), III Workshop de Comunicação em Sistemas Embarcados Críticos. Vitória, Brasil.

Fractional Dynamics and Control of Distributed Parameter Systems

Fractional Calculus (FC) goes back to the beginning of the theory of differential calculus. Nevertheless, the application of FC just emerged in the last two decades, due to the progress in the area of chaos that revealed subtle relationships with the FC concepts. In the field of dynamical systems theory some work has been carried out but the proposed models and algorithms are still in a preliminary stage of establishment. Having these ideas in mind, the paper discusses a FC perspective in the study of the dynamics and control of some distributed parameter systems.

Effects of Soil Compaction and Organic Carbon Content on Preferential Flow in Loamy Field Soils

Abstract: Preferential flow and transport through macropores affect plant water use efficiency and enhance leaching of agrochemicals and the transport of colloids, thereby increasing the risk for contamination of groundwater resources. The effects of soil compaction, expressed in terms of bulk density (BD), and organic carbon (OC) content on preferential flow and transport were investigated using 150 undisturbed soil cores sampled from 15 × 15–m grids on two field sites. Both fields had loamy textures, but one site had significantly higher OC content. Leaching experiments were conducted in each core by applying a constant irrigation rate of 10 mm h−1 with a pulse application of tritium tracer. Five percent tritium mass arrival times and apparent dispersivities were derived from each of the tracer breakthrough curves and correlated with texture, OC content, and BD to assess the spatial distribution of preferential flow and transport across the investigated fields. Soils from both fields showed strong positive correlations between BD and preferential flow. Interestingly, the relationships between BD and tracer transport characteristics were markedly different for the two fields, although the relationship between BD and macroporosity was nearly identical. The difference was likely caused by the higher contents of fines and OC at one of the fields leading to stronger aggregation, smaller matrix permeability, and a more pronounced pipe-like pore system with well-aligned macropores.

Coalition of distributed generation units to Virtual Power Players - a game theory approach

Smart Grids (SGs) have emerged as the new paradigm for power system operation and management, being designed to include large amounts of distributed energy resources. This new paradigm requires new Energy Resource Management (ERM) methodologies considering different operation strategies and the existence of new management players such as several types of aggregators. This paper proposes a methodology to facilitate the coalition between distributed generation units originating Virtual Power Players (VPP) considering a game theory approach. The proposed approach consists in the analysis of the classifications that were attributed by each VPP to the distributed generation units, as well as in the analysis of the previous established contracts by each player. The proposed classification model is based in fourteen parameters including technical, economical and behavioural ones. Depending of the VPP strategies, size and goals, each parameter has different importance. VPP can also manage other type of energy resources, like storage units, electric vehicles, demand response programs or even parts of the MV and LV distribution network. A case study with twelve VPPs with different characteristics and one hundred and fifty real distributed generation units is included in the paper.

Demand Response Programs Design and Use Considering Intensive Penetration of Distributed Generation

Further improvements in demand response programs implementation are needed in order to take full advantage of this resource, namely for the participation in energy and reserve market products, requiring adequate aggregation and remuneration of small size resources. The present paper focuses on SPIDER, a demand response simulation that has been improved in order to simulate demand response, including realistic power system simulation. For illustration of the simulator’s capabilities, the present paper is proposes a methodology focusing on the aggregation of consumers and generators, providing adequate tolls for the demand response program’s adoption by evolved players. The methodology proposed in the present paper focuses on a Virtual Power Player that manages and aggregates the available demand response and distributed generation resources in order to satisfy the required electrical energy demand and reserve. The aggregation of resources is addressed by the use of clustering algorithms, and operation costs for the VPP are minimized. The presented case study is based on a set of 32 consumers and 66 distributed generation units, running on 180 distinct operation scenarios.

Cost allocation model for distribution networks considering high penetration of distributed energy resources

The high penetration of distributed energy resources (DER) in distribution networks and the competitive environment of electricity markets impose the use of new approaches in several domains. The network cost allocation, traditionally used in transmission networks, should be adapted and used in the distribution networks considering the specifications of the connected resources. The main goal is to develop a fairer methodology trying to distribute the distribution network use costs to all players which are using the network in each period. In this paper, a model considering different type of costs (fixed, losses, and congestion costs) is proposed comprising the use of a large set of DER, namely distributed generation (DG), demand response (DR) of direct load control type, energy storage systems (ESS), and electric vehicles with capability of discharging energy to the network, which is known as vehicle-to-grid (V2G). The proposed model includes three distinct phases of operation. The first phase of the model consists in an economic dispatch based on an AC optimal power flow (AC-OPF); in the second phase Kirschen's and Bialek's tracing algorithms are used and compared to evaluate the impact of each resource in the network. Finally, the MW-mile method is used in the third phase of the proposed model. A distribution network of 33 buses with large penetration of DER is used to illustrate the application of the proposed model.

Chronic hepatitis C: hepatic iron content does not correlate with response to antiviral therapy

The complex interaction between hepatitis C virus infection, iron homeostasis and the response to antiviral treatment remains controversial. The aim of this study was to evaluate the influence of hepatic iron concentration (HIC) on the sustained virological response (SVR) to antiviral therapy in patients with chronic hepatitis C. A total of 50 patients who underwent pretreatment liver biopsy with assessment of HIC by graphite furnace atomic absorption spectroscopy and were subsequently submitted to antiviral treatment with interferon/peginterferon and ribavirin were included in the study. Patients with alcoholism, history of multiple blood transfusion, chronic kidney disease, hemolytic anemia and parenteral iron therapy were excluded. The iron related markers and HIC were compared between those who achieved an SVR and non-responders (NR) patients. The mean age was 45.7 years and the proportion of patients' gender was not different between SVR and NR patients. The median serum iron was 138 and 134 µg/dL (p = 0.9), the median serum ferritin was 152.5 and 179.5 ng/mL (p = 0.87) and the median HIC was 9.9 and 8.2 µmol/g dry tissue (p = 0.51), for SVR and NR patients, respectively. Thus, hepatic iron concentration, determined by a reliable quantitative method, was not a negative predictive factor of SVR in patients with chronic hepatitis C presenting mild to moderate hepatic iron accumulation.

Tradução com adaptação cultural para portugês e determinação da reprodutibilidade do questionnaire on respiratory symptoms in preschool children

RESUMO: Introdução: A asma brônquica é uma entidade frequente em idade pediátrica, apresentando uma grande heterogeneidade clínica e significativa morbilidade quando não controlada. A identificação de crianças sintomáticas pode atrasar ou até mesmo diminuir a ocorrência de algumas alterações estruturais. Reconhece-se a necessidade de questionários sobre sintomas respiratórios em língua portuguesa, devidamente validados, que tenham como população-alvo os grupos etários inferiores a 3 anos. Deste modo, será possível não só um conhecimento mais rigoroso da asma e da sibilância infantil mas também a uniformização de metodologias para o desenvolvimento de estratégias a nível nacional. Objetivos: Tradução com adaptação cultural para português e determinação da reprodutibilidade do Questionnaire on respiratory symptoms in preschool children de Strippoli e colaboradores. Material e métodos: A escolha do questionário obedeceu a vários critérios, entre os quais o grupo etário, o tipo e número de perguntas. O Questionnaire on respiratory symptoms in preschool children de Strippoli e colaboradores é um questionário de autopreenchimento, dirigido a crianças entre os 12 e os 24 meses de idade e destinado a estudos epidemiológicos ao nível da comunidade. Aborda aspetos referentes a sintomas respiratórios (sibilância, tosse crónica, sintomas das vias aéreas superiores), cuidados médicos, terapêutica, características ambientais, história familiar e situação social. Procedemos à sua tradução, com especial atenção para a adaptação do ponto de vista cultural e linguístico, utilizando o método da tradução / retroversão, amplamente utilizado e descrito na literatura internacional. Seguidamente determinámos a reprodutibilidade da versão final em língua portuguesa – Questionário de sintomas respiratórios em idade pré-escolar – utilizando o teste-reteste. Para tal, incluíram-se crianças entre os 12 e os 36 meses de idade recrutadas num Centro de Saúde e em creches de Lisboa. A distribuição dos questionários decorreu em duas fases: na primeira fase foram entregues pessoalmente nos locais de recrutamento e na segunda fase foram enviados por correio para os domicílios das crianças, respeitando-se um intervalo mínimo de 2 semanas entre ambos. Resultados: Na primeira fase foram distribuídos 180 questionários, com uma taxa de reposta de 41% (n=74). Na segunda fase enviaram-se para os respetivos domicílios 70 questionários,obtendo-se uma taxa de resposta de 66% (n=46). Para a análise de reprodutibilidade foram incluídos apenas os questionários preenchidos em ambos os momentos pelo mesmo indivíduo (mãe, pai ou representante legal) (n=41). A idade média das crianças foi, na primeira fase, de 22,5 meses e, na segunda fase, de 23,7 meses, com um predomínio do sexo feminino (F:M =1:0,6). A mediana do tempo decorrido entre os dois momentos de preenchimento dos questionários foi de 26 dias. Obtivemos valores de concordância globalmente bons a muito bons, à semelhança do sucedido no trabalho original. Conclusões: Procedemos à tradução e avaliação da reprodutibilidade do Questionnaire on respiratory symptoms in preschool children. Pretende-se que venha a ser uma ferramenta útil para estudos epidemiológicos e programas de rastreio na comunidade, contribuindo deste modo para uma otimização da abordagem da asma / sibilância infantil a nível nacional. -------------ABSTRACT: Background: Asthma is a very common feature in childhood, with important clinical heterogeneity and morbidity if not properly controlled. Identifying symptomatic children may delay or even reduce several structural changes. The development of questionnaires on respiratory symptoms in Portuguese for children under 3 years old will allow not only a more accurate knowledge of infantile asthma and recurrent wheezing but also the standardization of methodologies to develop nationwide strategies. Objectives: The aim of this study was to translate and adapt to the Portuguese culture and to determine the repeatability of the Questionnaire on respiratory symptoms in preschool children by Strippoli et al. Material and methods: The choice of the questionnaire took in consideration several criteria, among which the target age, the type and the number of questions. The Questionnaire on respiratory symptoms in preschool children by Strippoli et al is a parent-completed questionnaire for assessment of respiratory symptoms in 1 to 2-year-old children, developed for cross-sectional and longitudinal studies. It contains sections on respiratory symptoms (wheezing, chronic cough and upper airways symptoms), healthcare utilization, treatment, environmental exposure, family history and social situation. For the process of translation we used the method of translation and back-translation, with particular concern to cultural and linguistic adaptation. To assess the repeatability of the final Portuguese version - Questionário de sintomas respiratórios em idade pré-escolar - we used the test–retest analyses. The questionnaires were distributed to parents of children between 12 and 36 months old attending nurseries and a Primary Care Center of Lisbon. The distribution took place in two phases: the first questionnaires were delivered in person (phase one) and an identical questionnaire was posted to the families that participated in the first phase, 2 weeks after the first one was returned (phase two). Results: The response rates were 41% (180/74) in the first phase and 66% (70/46) in the second phase. For test–retest analyses, we included the 41 children with the same respondent (mother, father or legal representative) in both occasions. The median age of the children was 22,5 months at the first phase and 23,7 months at the second phase, with a predominance of girls (F:M = 1:0,6). The median time between the fillings of both questionnaires was 26 days. Globally, agreement values were good to excellent, similarly to the original work. Conclusion: In the present study we translated the Questionnaire on respiratory symptoms in preschool children and assessed its repeatability. Overall, we expect it to be a valuable tool for epidemiological studies and community-based screening programs, thus contributing to improve the management of infantile asthma / recurrent wheezing nationwide.

Tutor Inteligente para o Ensino em Medicina

O objectivo deste trabalho consistiu no desenvolvimento de um protótipo que possibilita a adaptação do conteúdo disponibilizado de acordo com as características pessoais e psicológicas do aluno, aplicado no ensino da Medicina, nomeadamente na componente de Desenho de Estudos da disciplina de Introdução à Medicina. Para o protótipo desenvolvido foi definida uma arquitectura constituída por três componentes: um Modelo de Aluno que engloba as características pessoais e psicológicas do aluno, um Modelo de Domínio constituído por um grafo de conceitos e um Modelo Pedagógico formado pelas regras de adaptação e mecanismos de interação utilizados para obter uma solução adaptativa. Os diferentes componentes desenvolvidos para este protótipo permitem que este apresente as seguintes funcionalidades: Acesso ao conceito adequado, tendo em consideração o nível de conhecimento do aluno; Visualização de conte udos adequados ao estilo de aprendizagem do aluno; Adaptação do percurso do aluno de acordo com os resultados obtidos; Atualização das preferências de aprendizagem, com base no comportamento demonstrado pelo aluno na interação com o sistema. A primeira versão da ferramenta j a foi implementada. No entanto ainda será realizada a avaliação do protótipo em ambiente de aprendizagem, com a maior brevidade possível.

Parallel run-time for CO-OPN

Dissertação para obtenção do Grau de Mestre em Engenharia Informática

High-Content Analysis of Breast Cancer Using Single-Cell Deep Transfer Learning

High-content analysis has revolutionized cancer drug discovery by identifying substances that alter the phenotype of a cell, which prevents tumor growth and metastasis. The high-resolution biofluorescence images from assays allow precise quantitative measures enabling the distinction of small molecules of a host cell from a tumor. In this work, we are particularly interested in the application of deep neural networks (DNNs), a cutting-edge machine learning method, to the classification of compounds in chemical mechanisms of action (MOAs). Compound classification has been performed using image-based profiling methods sometimes combined with feature reduction methods such as principal component analysis or factor analysis. In this article, we map the input features of each cell to a particular MOA class without using any treatment-level profiles or feature reduction methods. To the best of our knowledge, this is the first application of DNN in this domain, leveraging single-cell information. Furthermore, we use deep transfer learning (DTL) to alleviate the intensive and computational demanding effort of searching the huge parameter's space of a DNN. Results show that using this approach, we obtain a 30% speedup and a 2% accuracy improvement.