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  • Restricted English
    Authors: 
    Jara, Antonio; Parra, Maria Concepcion; Skarmeta, Antonio;
    Country: Switzerland

    Internet of things extends the capabilities to identify products with new technologies such as near field communication, radio-frequency identification, quick response code and with existing identification technologies such as barcode. Identification allows to retrieve extended information and knowledge of the products. Thereby, customers are able to retrieve and share knowledge among the different products. This work presents the participative marketing as the evolution from the social media marketing toward the active participation from the prosumers and the empowerment of the marketing with the collective intelligence. Thereby, participative marketing enables new interaction and participation models based on the ubiquitous identification. This has been evaluated in a social platform, which integrates the knowledge and experiences from the customers, and in a mobile platform, which interacts with the products through the mentioned identification technologies.

  • Restricted English
    Authors: 
    Priebe, Julian; Swiatek, Klaudia; Vidinha, Margarida; Vaduva, Maria-Roxana; Tiits, Mihkel; Sorescu, Tiberius-George; Malheiro, Benedita; Castro Ribeiro, Maria Cristina de; Justo, Jorge; Silva, Manuel F.; +2 more
    Publisher: Springer
    Country: Portugal

    In the spring of 2020, six undergraduate students from diverse countries and engineering fields decided to design together a solution to monitor the elderly. This project was performed as part of the European Project Semester (EPS) programme at Instituto Superior de Engenharia do Porto (ISEP). The EM-BRACE solution encompasses two interconnected devices (a home station and a bracelet) and mobile/Web twin applications. The bracelet measures and transmits vital user data (pulse, temperature and impacts) to the home station, whereas the latter measures home environment parameters (temperature, humidity and pressure) and sends local and bracelet data to an Internet of Things (IoT) platform. This way, these data become accessible via the mobile/Web application. Thereby, EM-BRACE monitors the health and environment of the elderly and timely notifies caregivers about problems, contributing to the well-being of the elderly and their families. This work was partially financed by National Funds through the FCT – Fundação para a Ciência e a Tecnologia (Portuguese Foundation for Science and Technology) within project UIDB/50014/2020.

  • Restricted English
    Authors: 
    Jara, Antonio; Serrano, Martin; Gomez, Andrea; Fernandez, David; Molina, German; Bocchi, Yann; Alcarria, Ramon;
    Publisher: Springer
    Country: Switzerland

    Data models and semantics are a key aspect for the valorization of data in cross-domain applications and to obtain knowledge/insights beyond the original applications (vertical use cases). An important role of Big Data and a key fundament of its success is this capacity to discover and extract new knowledge beyond the original use of data, in order to learn, optimize processes and understand the hidden rules of our world. This works presents the different data models from standardization bodies such as IEEE PAR2530, ITU-T FG DPM, ETSI ISG CIM and oneM2M, W3C SSN, OMA LwM2M etc. An analysis and comparative among all of them and also the opportunities to link them in order to guarantee that we can obtain the major value through co-operation among cities and different departments. This work is contextualized in the principles from the Open and Agile Smart Cites (OASC) and linked initiatives focused on data management cross-cities and large scale pilots.

  • Restricted English
    Authors: 
    Rizzo, Gianluca; Olivieri, Alex Carmine;
    Publisher: 8-10 July 2015
    Country: Switzerland

    The Internet of Things (IoT) opens new perspectives for the Machine-To-Machine communications, as it brings to settings with a large and heterogeneous set of devices. This makes integration of such diverse technologies a challenging task. A typical solution to this problem is represented by universal gateways, which provide internal semantics for protocol translation. However such approach is bound to be challenged in future IoT scenarios, as it brings substantial performance impairments in settings with very large number of devices and of technologies. We address these limitations, by proposing two novel approaches. A first is based on distributing the management of the different technologies among gateways. A second approach makes use of Web Service delegation, with gateways acting only as a connecting point between the entities and some service that can interpret the information exchanged. We implement and validate experimentally these approaches, showing that they both scale sensibly better than the traditional approach, guaranteeing acceptable performance even with a high degree of heterogeneity. Moreover, we identify the criteria which should be considered when choosing between the two proposed approaches. Our results establish a set of guidelines for integration in large and heterogeneous IoT scenarios.

  • Restricted English
    Authors: 
    Rayati, Mohammad; Pidancier, Thomas; Carpita, Mauro; Bozorg, Mokhtar;
    Publisher: 7-11 September 2020
    Country: Switzerland

    In this paper, first, a distribution system state estimation (DSSE) algorithm based on Distflow model is presented. The model is designed for radial low voltage (LV) distribution grids considering traversal components such as the cable capacitances. Next, to obtain the pseudo-measurements required for the DSSE algorithm, we developed and compared three intraday nodal load forecast (INLF) methods that take; i) near real-time stream of data from the grid measurement devices (MDs), i.e., voltage and current magnitudes at limited number of lines/nodes, and ii) the batch data set from smart meters (SMs) available for previous days. The accuracy associated with the INLF methods is quantified in terms of statistical characteristics such as average of symmetric mean absolute percentage error (sMAPE) over all nodes of the distribution grid. Afterwards, the impact of this accuracy on the DSSE results is investigated using real data available for a distribution grid in city of Geneva, Switzerland.

  • Other research product . Other ORP type . 2017
    Restricted English
    Authors: 
    Veerbeek, Janne M.; Langbroek-Amersfoort, Anneli C.; Van Wegen, Erwin E H; Meskers, Carel G M; Kwakkel, Gert;

    Background. Robot technology for poststroke rehabilitation is developing rapidly. A number of new randomized controlled trials (RCTs) have investigated the effects of robot-assisted therapy for the paretic upper limb (RT-UL). Objective. To systematically review the effects of poststroke RT-UL on measures of motor control of the paretic arm, muscle strength and tone, upper limb capacity, and basic activities of daily living (ADL) in comparison with nonrobotic treatment. Methods. Relevant RCTs were identified in electronic searches. Meta-analyses were performed for measures of motor control (eg, Fugl-Meyer Assessment of the arm; FMA arm), muscle strength and tone, upper limb capacity, and basic ADL. Subgroup analyses were applied for the number of joints involved, robot type, timing poststroke, and treatment contrast. Results. Forty-four RCTs (N = 1362) were included. No serious adverse events were reported. Meta-analyses of 38 trials (N = 1206) showed significant but small improvements in motor control (∼2 points FMA arm) and muscle strength of the paretic arm and a negative effect on muscle tone. No effects were found for upper limb capacity and basic ADL. Shoulder/elbow robotics showed small but significant effects on motor control and muscle strength, while elbow/wrist robotics had small but significant effects on motor control. Conclusions. RT-UL allows patients to increase the number of repetitions and hence intensity of practice poststroke, and appears to be a safe therapy. Effects on motor control are small and specific to the joints targeted by RT-UL, whereas no generalization is found to improvements in upper limb capacity. The impact of RT-UL started in the first weeks poststroke remains unclear. These limited findings could mainly be related to poor understanding of robot-induced motor learning as well as inadequate designing of RT-UL trials, by not applying an appropriate selection of stroke patients with a potential to recovery at baseline as well as the lack of fixed timing of baseline assessments and using an insufficient treatment contrast early poststroke.

  • Other research product
    Restricted English
    Authors: 
    Mende, Doreen;
    Publisher: Spector Books
    Country: Switzerland
  • Restricted English
    Authors: 
    Calheiros, Luis Miguel Fernandes Milhão Barbot;
    Country: Portugal

    A indústria da carga aérea encontra-se num período de baixa integração de tecnologias digitais, caracterizando-se pela utilização significativa de processos em papel. Esta dissertação explora a Portway, uma empresa de assistência em escala com mais de 20 anos de experiência, e as suas possibilidades de adotar soluções de otimização, tecnologias digitais, processos inovadores e automatizados para tornar os seus processos mais eficientes, mas também para reduzir a quantidade de papel utilizada durante as suas operações. Sendo assim, esta dissertação foca-se nas operações de importação de carga aérea da Portway. Esta tese teve como primeiro objetivo compreender as atuais operações de importação de carga aérea da Portway de modo a melhor avaliar e encontrar possíveis ineficiências. Ao adotar uma metodologia qualitativa com o apoio de uma análise temática, foi possível identificar algumas ineficiências operacionais relativamente às operações de importação de carga da Portway. Adicionalmente, com os resultados dos métodos de investigação, foi possível encontrar soluções de otimização que podem tornar as operações de importação da Portway mais eficientes e com menos papel, mantendo assim a empresa competitiva. Como resultado desta dissertação, foi criado um modelo de recomendação com uma análise custo-benefício, ilustrando as diferentes oportunidades, caminhos, benefícios, custos e possibilidades que a Portway pode tomar para melhorar o seu serviço e operações de carga. The air cargo industry is going through a period of low digital technologies integration and is characterized by the significant use of paper processes. This dissertation explores Portway, a ground handling company with more than 20 years of experience, and its possibilities of adopting optimization solutions, digital technologies, innovative and automated processes not only to turn their processes efficient but also to reduce the amount of paper used during its operations. Given this, this dissertation focuses on Portway’s air cargo operations more specifically on their import transaction processes. This thesis had the first goal to fully understand the current Portway’s air cargo import operations to further evaluate it and find possible inefficiencies. By adopting a qualitative methodology with the support of a thematic analysis it was possible to identify during the research some operational bottlenecks and inefficiencies regarding Portway’s cargo import operations. Moreover, with the findings and results from the research methods, it was possible to find optimization solutions and processes that could turn Portway’s import operations more efficient and paperless, while keeping the company competitive. As a result of this dissertation, a recommendation model with a cost-benefit analysis was created at the end, illustrating the different opportunities, paths, benefits costs and possibilities that Portway can take to improve its cargo service and operations.

  • Restricted English
    Authors: 
    Wiloso, Edi Iswanto; Heijungs, Reinout; De Snoo, Geert R.;

    This paper aims at reviewing the life cycle assessment (LCA) literature on second generation bioethanol based on lignocellulosic biomass and at identifying issues to be resolved for good LCA practice. Reviews are carried out on respective LCA studies published over the last six years. We use the classification of lignocellulosic biomass to define system boundaries, so that the comparison among LCA results can be thoroughly assessed based on identified system components. A basis for attributing environmental burden for different biomass feedstocks is also suggested. Despite the non-homogeneous systems, we conclude that second generation bioethanol performs better than fossil fuel at least for the two most studied impact categories, net energy output and global warming. For the latter category, carbon sequestration at the biomass generation stage can even consistently offset the GHG emissions from all parts of the life cycle chains at high ethanol percentage (≥85%). The aspect of biogenic carbon and agrochemical input for energy crops and biomass residues, and the effect of removal of the latter from soil have not been treated consistently. In contrast, the exclusion of upstream chain of biomass waste feedstocks is observed in practice. The bioethanol conversion process is mostly based on simultaneous saccharification and co-fermentation, characterized by high yield and low energy input. In this regard, the LCA results tend to under estimate the real impacts of the current technology. The choice of allocation methods strongly influences the final results, particularly when economic value is used as a reference. Substitution of avoided burden seems to be the most popular allocation method in practice, followed by partition based on mass, energy, and economic values.

  • Restricted English
    Authors: 
    Jackiw, Raeya;
    Country: Canada

    By selectively foraging palatable “browse-preferred” (BP) species and not selecting unpalatable “browse-avoided” (BA) species, white-tailed deer (Odocoileus virginianus) can facilitate an increase in the relative abundance of BA species in temperate forests. This change in community structure can persist after the removal of browsing pressure if BA species competitively suppress the regeneration of BP species. This dynamic is thought to occur in intensively managed northern hardwood forests with high deer densities, where high density BA sedge (Carex pensylvanica) mats may suppress the regeneration of tree seedlings through competition for belowground resources. I examined if and how this suppression may be occurring in an unmanaged forest with low to moderate deer densities. C. pensylvanica was removed to investigate its impact on (i) the growth of BP sugar maple (Acer saccharum) and BA ironwood (Ostrya virginiana) seedlings at two sites over the 2012 growing season, and (ii) on the availability of soil moisture and nutrients (nitrate, ammonium, and phosphate). In addition, long-term deer exclosure plots were used to examine the relationship between the relative abundance of C. pensylvanica, the availability of these resources, and deer presence. Sedge removal had no impact on the aboveground growth of either seedling species, or on soil nutrients, but was associated with lower soil moisture at the driest site. In the exclosure experiment, sedge abundance was not correlated with the abundance of tree seedlings, but was positively correlated to soil moisture across all plots, and negatively correlated to NH4-N and NO3-N in deer absent plots only. Sedge abundance was positively correlated to forb vegetation abundance in deer present plots, and negatively correlated to its abundance in deer absent plots. In summary, these findings indicate that while sedge presence may not affect tree seedling growth at these sites, it does alter the availability of soil resources and impact other important components of the plant community. Sedge mats may thus profoundly influence ecosystem processes and forest composition.

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