Traditional IMU based PDR systems suffer from rapidly growing drift effects due to the inherent bias of the inertial sensor. Many existing solutions to mitigate this problem use aiding sensors or information as heuristics or map data. We propose a new optimization framework to solve the PDR estimation problem where the sensors biases are explicitly included as state variables and therefore be used to correct for bias effects in the PDR. By using a smoothing approach and exploiting the rigid structure of a MIMU array one can solve for the slowly varying sensor biases. This paper presents the method and gives an exemplary result of a walking trial. Good agreements in the position and orientation with an optical reference system were found. Moreover, accelerometer and gyroscope biases could be estimated accordingly. Further research includes the performance of more experiments under various conditions such that a more quantitative evaluation can be obtained. In addition, an exploration of a (pseudo) realtime filter version would be valuable such that the system can be applied online.
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Recalling that a majority of those who need assistive technology do not have access to it, and that this has a significant impact on the education, livelihood, health and well-being of individuals, and on families, communities and societies, Member States adopted a resolution on Improving access to assistive technology during the 71st World Health Assembly in May 2018. Among other mandates, Member States requested the Director-General of the World Health Organization (WHO) to prepare a global report on effective access to assistive technology in the context of an integrated approach, based on the best available scientific evidence and international experience, with the participation of all levels within the organization and in collaboration with all relevant stakeholders. In fulfilling this commitment, aiming to improve access to assistive technology, this global report: • presents the first comprehensive data set of its kind and analysis of current assistive technology access; • draws the attention of governments and civil societies to the need for, and benefits of, assistive technology, including its return on investment; • makes recommendations for concrete actions that will improve access; • supports implementation of the UN Convention on the Rights of Persons with Disabilities; and • contributes towards achieving the Sustainable Development Goals, especially in making universal health coverage (UHC) inclusive – leaving no one behind. The global report explores assistive technology from a variety of perspectives.
This paper presents an innovative approach that combines optimization and simulation techniques for solving scheduling problems under uncertainty. We introduce an Opt–Sim closed-loop feedback framework (Opt–Sim) based on a sliding-window method, where a simulation model is used for evaluating the optimized solution with inherent uncertainties for scheduling activities. The specific problem tackled in this paper, refers to the airport capacity management under uncertainty, and the Opt–Sim framework is applied to a real case study (Paris Charles de Gaulle Airport, France). Different implementations of the Opt–Sim framework were tested based on: parameters for driving the Opt–Sim algorithmic framework and parameters for riving the optimization search algorithm. Results show that, by applying the Opt–Sim framework, potential aircraft conflicts could be reduced up to 57% over the non-optimized scenario. The proposed optimization framework is general enough so that different optimization resolution methods and simulation paradigms can be implemented for solving scheduling problems in several other fields.
The growing energy demand and environmental impact of traditional sources highlight the need for sustainable solutions. Hydrogen produced through water electrolysis, is a flexible and clean energy carrier capable of addressing large-electricity storage needs of the renewable but intermittent energy sources. Among various technologies, Proton Exchange Membrane Water Electrolysis (PEMWE) stands out for its efficiency and rapid response, making it ideal for grid stabilization. In its core, PEMWEs are composed of membrane electrode assemblies (MEA), which consist of a proton-conducting membrane sandwiched between two catalyst-coated electrodes, forming a single PEMWE cell unit. Despite the high efficiency and low emissions, a principal drawback of PEMWE is the capital cost due to high loading of precious metal catalysts and protective coatings. Traditional MEA catalyst coating methods are complex, inefficient, and costly to scale. To circumvent these challenges, VSParticle developed a technology for nanoparticle film production using spark ablation, which generates nanoparticles through high-voltage discharges between electrodes followed by an impaction printing module. However, the absence of liquids poses challenges, such as integrating polymeric solutions (e.g., Nafion®) for uniform, thicker catalyst coatings. Electrohydrodynamic atomization (EHDA) stands out as a promising technique thanks to its strong electric fields used to generate micro- and nanometric droplets with a narrow size distribution. Co-axial EHDA, a variation of this technique, utilizes two concentric needles to spray different fluids simultaneously.The ESPRESSO-NANO project combines co-axial EHDA with spark ablation to improve catalyst uniformity and performance at the nanometer scale by integrating electrosprayed ionomer nanoparticles with dry metal nanoparticles, ensuring better distribution of the catalyst within the nanoporous layer. This novel approach streamlines numerous steps in traditional synthesis and electrocatalyst film production which will address material waste and energy consumption, while simultaneously improve the electrochemical efficiency of PEMWEs, offering a sustainable solution to the global energy crisis.
Treatment of crops with insecticides remains essential because globally more than 75 billion dollars is lost through crop destruction by invasive insects. However it is accompanied by severe disadvantages including i. increasing resistance of the target insects against insecticides and ii. the undesired lethality of beneficial insects such as bees and other pollinator species. The significant reduction of insect species during the last years, at least partly caused by the presently available insecticides has also effects on insect-eating species. Last but not least the presence of residual amount of insecticides in the environment (soil and plants), because of poor (bio)degradation, is another distinct disadvantage. Therefore, the overall aim of this proposal is to design and synthesize peptide based biopesticides. This should lead to Nature inspired green alternatives for insect control because "Peptides" are the small equivalents of "proteins", that are biomolecules, which are universally present in all organisms and subject to their natural biodegradation mechanisms, as well as also chemically degraded in the soil (water, heat, UV, oxygen). Design and synthesis of these environmentally benign compounds will eventually take place in a founded company called "INNOVAPEPLINE". Evaluation of candidate peptide based biopesticides can be carried out in collaboration with a recently founded company (spin-out of the University of Glasgow) called "SOLASTA BIO" (founders professors Shireen Davies, Julian Dow and Rob Liskamp) and/or with other (third) parties such as the University of Wageningen. Upon recent identification of promising candidate compounds ("leads"), chemical optimization studies of leads will take place, followed by evaluation in field trials. In this proposal design, synthesis and chemical optimization of the biological activity of new peptides and development of methods to monitor their biodegradation rate will take place. Thereby expanding the repertoire of peptide based biopesticides. (292 words)
