This paper extends the 'go-with-the-flow' method to explore enclosed environments, like oil reservoirs, pipe lines that transport liquids, and industrial tanks for processing chemicals, where sensing nodes cannot establish communication with the external world. Nonetheless, large quantities of highly miniaturized, thus power-constrained sensor nodes are injected into these environment and flow through them along with the medium, monitoring their environment but also reconstructing their time-varying position from mutual communication, but without any communication to external base stations or beacons. The relative trajectories of nodes yield essential insights of the fluid flow in the otherwise inaccessible environment. We present a functional implementation of a ranging protocol accommodating size and energy constraints. Our simulation chain models node movement from different types of flow dynamics. It comprehensively assesses not only the performance of the communication and ranging protocols, but also of the reconstruction algorithm. Our assessments cover a wide range of different environments and flow profiles, including highly dynamic ones.
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This paper introduces the design principle of legibility as means to examine the epistemic and ethical conditions of sensing technologies. Emerging sensing technologies create new possibilities regarding what to measure, as well as how to analyze, interpret, and communicate said measurements. In doing so, they create ethical challenges for designers to navigate, specifically how the interpretation and communication of complex data affect moral values such as (user) autonomy. Contemporary sensing technologies require layers of mediation and exposition to render what they sense as intelligible and constructive to the end user, which is a value-laden design act. Legibility is positioned as both an evaluative lens and a design criterion, making it complimentary to existing frameworks such as value sensitive design. To concretize the notion of legibility, and understand how it could be utilized in both evaluative and anticipatory contexts, the case study of a vest embedded with sensors and an accompanying app for patients with chronic obstructive pulmonary disease is analyzed.
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This work reports the fabrication of a titanium carbide nanoparticle-based inkjet printed flexible bidirectional flow sensor. The design of the flow sensor consists of an inkjet printed titanium carbide piezoresistive strain gauge on a polyester cantilever. The sensors demonstrated a normalized flow sensitivity of 1.043/(ms-1) in the velocity range 0.15 - 0.55 m/s (for water flow). The fabrication method reported in this work potentially opens a new direction for fabrication of a class of robust, repeatable, and inexpensive flexible flow sensors.
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The evolution of emerging technologies that use Radio Frequency Electromagnetic Field (RF-EMF) has increased the interest of the scientific community and society regarding the possible adverse effects on human health and the environment. This article provides NextGEM’s vision to assure safety for EU citizens when employing existing and future EMF-based telecommunication technologies. This is accomplished by generating relevant knowledge that ascertains appropriate prevention and control/actuation actions regarding RF-EMF exposure in residential, public, and occupational settings. Fulfilling this vision, NextGEM commits to the need for a healthy living and working environment under safe RF-EMF exposure conditions that can be trusted by people and be in line with the regulations and laws developed by public authorities. NextGEM provides a framework for generating health-relevant scientific knowledge and data on new scenarios of exposure to RF-EMF in multiple frequency bands and developing and validating tools for evidence-based risk assessment. Finally, NextGEM’s Innovation and Knowledge Hub (NIKH) will offer a standardized way for European regulatory authorities and the scientific community to store and assess project outcomes and provide access to findable, accessible, interoperable, and reusable (FAIR) data.
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BackgroundOcclusions of intravenous (IV) tubing can prevent vital and time-critical medication or solutions from being delivered into the bloodstream of patients receiving IV therapy. At low flow rates (≤ 1 ml/h) the alarm delay (time to an alert to the user) can be up to 2 h using conventional pressure threshold algorithms. In order to reduce alarm delays we developed and evaluated the performance of two new real-time occlusion detection algorithms and one co-occlusion detector that determines the correlation in trends in pressure changes for multiple pumps.MethodsBench-tested experimental runs were recorded in triplicate at rates of 1, 2, 4, 8, 16, and 32 ml/h. Each run consisted of 10 min of non-occluded infusion followed by a period of occluded infusion of 10 min or until a conventional occlusion alarm at 400 mmHg occurred. The first algorithm based on binary logistic regression attempts to detect occlusions based on the pump’s administration rate Q(t) and pressure sensor readings P(t). The second algorithm continuously monitored whether the actual variation in the pressure exceeded a threshold of 2 standard deviations (SD) above the baseline pressure. When a pump detected an occlusion using the SD algorithm, a third algorithm correlated the pressures of multiple pumps to detect the presence of a shared occlusion. The algorithms were evaluated using 6 bench-tested baseline single-pump occlusion scenarios, 9 single-pump validation scenarios and 7 multi-pump co-occlusion scenarios (i.e. with flow rates of 1 + 1, 1 + 2, 1 + 4, 1 + 8, 1 + 16, and 1 + 32 ml/h respectively). Alarm delay was the primary performance measure.ResultsIn the baseline single-pump occlusion scenarios, the overall mean ± SD alarm delay of the regression and SD algorithms were 1.8 ± 0.8 min and 0.4 ± 0.2 min, respectively. Compared to the delay of the conventional alarm this corresponds to a mean time reduction of 76% (P = 0.003) and 95% (P = 0.001), respectively. In the validation scenarios the overall mean ± SD alarm delay of the regression and SD algorithms were respectively 1.8 ± 1.6 min and 0.3 ± 0.2 min, corresponding to a mean time reduction of 77% and 95%. In the multi-pump scenarios a correlation > 0.8 between multiple pump pressures after initial occlusion detection by the SD algorithm had a mean ± SD alarm delay of 0.4 ± 0.2 min. In 2 out of the 9 validation scenarios an occlusion was not detected by the regression algorithm before a conventional occlusion alarm occurred. Otherwise no occlusions were missed.ConclusionsIn single pumps, both the regression and SD algorithm considerably reduced alarm delay compared to conventional pressure limit-based detection. The SD algorithm appeared to be more robust than the regression algorithm. For multiple pumps the correlation algorithm reliably detected co-occlusions. The latter may be used to localize the segment of tubing in which the occlusion occurs.
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This paper assesses wind resource characteristics and energy yield for micro wind turbines integrated on noise barriers. An experimental set-up with sonic anemometers placed on top of the barrier in reference positions is realized. The effect on wind speed magnitude, inflow angle and turbulence intensity is analysed. The annual energy yield of a micro wind turbine is estimated and compared using data from a micro-wind turbine wind tunnel experiment and field data. Electrical energy costs are discussed as well as structural integration cost reduction and the potential energy yield could decrease costs. It was found that instantaneous wind direction towards the barrier and the height of observation play an influential role for the results. Wind speed increases in perpendicular flows while decreases in parallel flow, by +35% down to −20% from the reference. The azimuth of the noise barrier expressed in wind field rotation angles was found to be influential resulted in 50%–130% changes with respect to annual energy yield. A micro wind turbine (0.375 kW) would produce between 100 and 600 kWh annually. Finally, cost analysis with cost reductions due to integration and the energy yield changes due to the barrier, show a LCOE reduction at 60%–90% of the reference value. https://doi.org/10.1016/j.jweia.2020.104206
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This text has become a performance of (affirmative) entrepreneurship. This is done by a set of writing (and methodological) techniques: autoethnography, the triptych of mimesis, poiesis, kinesis and a life journey that forms the base of the chapter. As such, this text challenges some well-known shortcomings of entrepreneurship research such as being enacted by a distant observer/writer, decontextualized accounts of entrepreneurship and disregard of creativity and playfulness. The main contribution of the chapter is methodological, in its broadest sense (Steyaert, 2011): I propose autoethnography as “more than method” for engaging with processes of (affirmative) Entrepreneuring that speak to the increased attention for narrativity and playfulness in entrepreneurship (see for example Hjorth, 2017: Hjorth and Steyaert, 2004: Gartner, 2007; Johannisson, 2011). The autoethnographic story offers an engaging and relevant account of the practice of entrepreneurship and provides rich emic insight into the socio-materiality of lived experience. It also highlights the temporality of entrepreneurship – both in terms of chronos (continuous flow of time) and Kairos (taking advantage of the “right moment”) (Johannisson, 2011). And as I continue performing affirmations, I am curious how you are Entrepreneuring your life – tell me. This is a draft chapter/article. The final version is available in Research Handbook on Entrepreneurial Behavior, Practice and Process edited by William B. Gartner and Bruce T. Teague, published in 2020, Edward Elgar Publishing Ltd https://doi.org/10.4337/9781788114523
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We review the current body of academic literature concerning gamification of production and logistics. The findings indicate that production execution and control has been addressed most often in the current body of literature, which consists mostly of design research. Objectives and goals, points, achievements, multimedial feedback, metaphorical/fictional representations, and levels and progress are currently most often employed gamification affordances on this field. The research has focused on examining or considering motivation, enjoyment and flow as the main psychological outcomes of gamification in the given context, while individual performance and efficiency are the most commonly examined or suggested behavioral/organizational impacts. Future studies should employ more rigorous study designs and firmly ground the discussions in organization theory.
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This paper describes an agent-based software infrastructure for agile industrial production. This production is done on special devices called equiplets. A grid of these equiplets connected by a fast network is capable of producing a variety of different products in parallel. The multi-agent-based underlying systems uses two kinds of agents: an agent representing the product and an agent representing the equiplet.
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This paper presents four research projects on organizational innovation in the Netherlands. These projects are still in a design and theoretical investigation stage, but the authors find it useful to share their findings and insights with the research community in order to inspire them with their ideas and research agenda. In the paper four constructs are explored that focus on the human factor in organizations and that may have a positive influence on organizational innovation. Shared leadership: It is often thought that, for innovation, only one brilliant mind with a break-through idea in a single flash of enlightenment is needed. Recent research, however, shows that most innovations are the result of team-flow and sharing and alternating leadership tasks. Social Capital: through leadership and decision making, by influencing trust, respect and commitment, the organizations social capital and thus its innovative power is increased. External consultancy: deployment of external consultants will add to knowledge and skills necessary for innovation. IT and workflow management: if handled correctly, the human factor can add substantial quality to the design and use of IT in organizations. The paper shows that the way these constructs are managed is crucial in influencing and motivating members of an organization to attribute to innovation and make use of the facilities that are offered to them.
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