Automated Analysis of Human Performance Data could help to understand and possibly predict the performance of the human. To inform future research and enable Automated Analysis of Human Performance Data a systematic mapping study (scoping study) on the state-of-the-art knowledge is performed on three interconnected components(i)Human Performance (ii) Monitoring Human Performance and (iii) Automated Data Analysis. Using a systematic method of Kitchenham and Charters for performing the systematic mapping study, resulted in a comprehensive search for studies and a categorisation the studies using a qualitative method. This systematic mapping review extends the philosophy of Shyr and Spisic, and Knuth and represents the state-of-art knowledge on Human Performance,Monitoring Human Performance and Automated Data Analysis
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This research reviews the current literature on the impact of Artificial Intelligence (AI) in the operation of autonomous Unmanned Aerial Vehicles (UAVs). This paper examines three key aspects in developing the future of Unmanned Aircraft Systems (UAS) and UAV operations: (i) design, (ii) human factors, and (iii) operation process. The use of widely accepted frameworks such as the "Human Factors Analysis and Classification System (HFACS)" and "Observe– Orient–Decide–Act (OODA)" loops are discussed. The comprehensive review of this research found that as autonomy increases, operator cognitive workload decreases and situation awareness improves, but also found a corresponding decline in operator vigilance and an increase in trust in the AI system. These results provide valuable insights and opportunities for improving the safety and efficiency of autonomous UAVs in the future and suggest the need to include human factors in the development process.
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A substantial amount of studies have addressed the influence of sound on human performance. In many of these, however, the large acoustic differences between experimental conditions prevent a direct translation of the results to realistic effects of room acoustic interventions. This review identifies those studies which can be, in principle, translated to (changes in) room acoustic parameters and adds to the knowledge about the influence of the indoor sound environment on people. The review procedure is based on the effect room acoustics can have on the relevant quantifiers of the sound environment in a room or space. 272 papers containing empirical findings on the influence of sound or noise on some measure of human performance were found. Of these, only 12 papers complied with this review's criteria. A conceptual framework is suggested based on the analysis of results, positioning the role of room acoustics in the influence of sound on task performance. Furthermore, valuable insights are pre- sented that can be used in future studies on this topic. Whi le the influence of the sound environment on performance is clearly an issue in many situations, evidence regarding the effectiveness of strategies to control the sound environment by room acoustic design is lacking and should be a focus area in future studies.
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Het lopen van een marathon wordt steeds populairder. Naast de vele positieve gezondheidseffecten van duurinspanning, kan duurinspanning ook gepaard gaan met maagdarmklachten. Zo’n 30-90% van de hardlopers heeft last van maagdarmklachten tijdens of in de uren na het hardlopen. Het ontstaan van maagdarmklachten heeft waarschijnlijk te maken met de herverdeling van het bloedvolume, resulterend in minder bloedtoevoer naar het spijsverteringskanaal en een minder goed functionerende darmbarrière. Doordat de darmbarrière minder goed functioneert kunnen er ongewenste stoffen (endotoxinen) de bloedbaan intreden en voor ontstekingsreacties zorgen. De vele micro-organismen in onze darm, gezamenlijk onze darmmicrobiota genoemd, zijn van invloed op de voedselvertering, maar ook op het functioneren van de cellen die de darmwand bekleden en de verbindingen tussen deze cellen. Mogelijk hebben hardlopers met maagdarmklachten tijdens duurinspanning te maken met een afwijkende samenstelling van de darmmicrobiota en/of metabolieten ten opzichte van hardlopers zonder klachten, waardoor de darmbarrière minder goed functioneert en er problemen kunnen optreden. Vandaar dat het voornaamste doel van ons onderzoeksproject is om te onderzoeken of er een relatie bestaat tussen de samenstelling van de darmmicrobiota en/of metabolieten en het ontstaan van maagdarmklachten tijdens duurinspanning. De onderzoeksvragen die zullen worden bestudeerd zijn: 1) Verschilt de samenstelling van de darmmicrobiota en/of metabolieten van hardlopers die wel en niet last krijgen van maagdarmklachten tijdens het lopen van een marathon? En zo ja, hoe? 2) Kan de samenstelling van de darmmicrobiota en/of metabolieten van getrainde sporters die maagdarmklachten ervaren tijdens duurinspanning positief beïnvloed worden door probiotica-suppletie, zodat de kans op en/of intensiteit van maagdarmklachten tijdens duurinspanning wordt verminderd en de sportprestatie verbeterd? Het onderzoeksproject richt zich op de identificatie van sporters die last hebben van maagdarmklachten tijdens duurinspanning. We hopen met de beoogde resultaten bij te kunnen dragen aan op de persoon gerichte preventie van maagdarmklachten door het aanpassen van de darmmicrobiota.
Deploying robots from indoor to outdoor environments (vise versa) with stable and accurate localization is very important for companies to secure the utilization in industrial applications such as delivering harvested fruits from plantations, deploying/docking, navigating under solar panels, passing through tunnels/underpasses and parking in garages. This is because of the sudden changes in operational conditions such as receiving high/low-quality satellite signals, changing field of view, dealing with lighting conditions and addressing different velocities. We observed these limitations especially in indoor-outdoor transitions after conducting different projects with companies and obtaining inaccurate localization using individual Robotics Operating Systems (ROS2) modules. As there are rare commercial solutions for IO-transitions, AlFusIOn is a ROS2-based framework aims to fuse different sensing and data-interpretation techniques (LiDAR, Camera, IMU, GNSS-RTK, Wheel Odometry, Visual Odometry) to guarantee the redundancy and accuracy of the localization system. Moreover, maps will be integrated to robustify the performance and ensure safety by providing geometrical information about the transitioning structures. Furthermore, deep learning will be utilized to understand the operational conditions by labeling indoor and outdoor areas. This information will be encoded in maps to provide robots with expected operational conditions in advance and beyond the current sensing state. Accordingly, this self-awareness capability will be incorporated into the fusion process to control and switch between the localization techniques to achieve accurate and smooth IO-transitions, e.g., GNSS-RTK will be deactivated during the transition. As an urgent and unique demand to have an accurate and continuous IO-transition towards fully autonomous navigation/transportation, Saxion University and the proposal’s partners are determined to design a commercial and modular industrial-based localization system with robust performance, self-awareness about the localization capabilities and less human interference. Furthermore, AlFusIOn will intensively collaborate with MAPS (a RAAKPRO proposed by HAN University) to achieve accurate localization in outdoor environments.
Due to the existing pressure for a more rational use of the water, many public managers and industries have to re-think/adapt their processes towards a more circular approach. Such pressure is even more critical in the Rio Doce region, Minas Gerais, due to the large environmental accident occurred in 2015. Cenibra (pulp mill) is an example of such industries due to the fact that it is situated in the river basin and that it has a water demanding process. The current proposal is meant as an academic and engineering study to propose possible solutions to decrease the total water consumption of the mill and, thus, decrease the total stress on the Rio Doce basin. The work will be divided in three working packages, namely: (i) evaluation (modelling) of the mill process and water balance (ii) application and operation of a pilot scale wastewater treatment plant (iii) analysis of the impacts caused by the improvement of the process. The second work package will also be conducted (in parallel) with a lab scale setup in The Netherlands to allow fast adjustments and broaden evaluation of the setup/process performance. The actions will focus on reducing the mill total water consumption in 20%.
