A low-cost sensornode is introduced to monitor the 5G EMF exposure in the Netherlands for the four FR1 frequency bands. The sensornode is validated with in-lab measurements both with CW signals as for QAM signals and perform for both cases and for all frequency bands an error less than 1 dB for a dynamic range of 40 dB. This sensor is a follow up of the earlier version of our previously developed sensor and have substantial improvements in terms of linearity, error, and stability.
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Spectral imaging has many applications, from methane detection using satellites to disease detection on crops. However, spectral cameras remain a costly solution ranging from 10 thousand to 100 thousand euros for the hardware alone. Here, we present a low-cost multispectral camera (LC-MSC) with 64 LEDs in eight different colors and a monochrome camera with a hardware cost of 340 euros. Our prototype reproduces spectra accurately when compared to a reference spectrometer to within the spectral width of the LEDs used and the ±1σ variation over the surface of ceramic reference tiles. The mean absolute difference in reflectance is an overestimate of 0.03 for the LC-MSC as compared to a spectrometer, due to the spectral shape of the tiles. In environmental light levels of 0.5 W m−2 (bright artificial indoor lighting) our approach shows an increase in noise, but still faithfully reproduces discrete reflectance spectra over 400 nm–1000 nm. Our approach is limited in its application by LED bandwidth and availability of specific LED wavelengths. However, unlike with conventional spectral cameras, the pixel pitch of the camera itself is not limited, providing higher image resolution than typical high-end multi- and hyperspectral cameras. For sample conditions where LED illumination bands provide suitable spectral information, our LC-MSC is an interesting low-cost alternative approach to spectral imaging.
MULTIFILE
Toeleverende bedrijven in de Brainport regio zijn veelal te typeren als high mix low volume (HMLV) productieomgevingen. Deze bedrijven kenmerken zich door een breed aanbod aan mogelijke producten (grote variëteit in producten), die veelal in lage volumes geproduceerd worden. Vaak zijn dit klantspecifieke producten die eenmalig, of incidenteel geproduceerd worden. Deze bedrijven focussen zich traditioneel op efficiënt gebruik van resources, waarbij bezettingsgraad en kostendekking relevant zijn. De toenemende klantvraag in de regio leidt tot druk op de productiecapaciteit. Een eerste intuïtieve reactie van deze bedrijven is om de bezettingsgraad van machines verder te verhogen. Om de kosten (Cost) beheersbaar te houden, wordt niet direct geïnvesteerd in extra capaciteit. Een ongewenst neveneffect is dat tijdigheid (Delivery, zoals levertijden, leverbetrouwbaarheid, flexibiliteit) en kwaliteit (Quality) verder onder druk komen te staan. De ogenschijnlijke tegenstrijdigheid tussen kosten en tijdigheid in deze HMLV-productieomgevingen, is een vaak terugkomend vraagstuk bij praktijkgerichte onderzoeken die door Fontys Technische Bedrijfskunde studenten uitgevoerd worden. Dit resulteert in de volgende onderzoeksvraag: Welke subaspecten zijn mogelijk relevant voor de prestatie met betrekking tot Quality, Delivery en Cost (QDC) van een HMLV-productieomgeving?
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The focus of this project is on improving the resilience of hospitality Small and Medium Enterprises (SMEs) by enabling them to take advantage of digitalization tools and data analytics in particular. Hospitality SMEs play an important role in their local community but are vulnerable to shifts in demand. Due to a lack of resources (time, finance, and sometimes knowledge), they do not have sufficient access to data analytics tools that are typically available to larger organizations. The purpose of this project is therefore to develop a prototype infrastructure or ecosystem showcasing how Dutch hospitality SMEs can develop their data analytic capability in such a way that they increase their resilience to shifts in demand. The one year exploration period will be used to assess the feasibility of such an infrastructure and will address technological aspects (e.g. kind of technological platform), process aspects (e.g. prerequisites for collaboration such as confidentiality and safety of data), knowledge aspects (e.g. what knowledge of data analytics do SMEs need and through what medium), and organizational aspects (what kind of cooperation form is necessary and how should it be financed).Societal issueIn the Netherlands, hospitality SMEs such as hotels play an important role in local communities, providing employment opportunities, supporting financially or otherwise local social activities and sports teams (Panteia, 2023). Nevertheless, due to their high fixed cost / low variable business model, hospitality SMEs are vulnerable to shifts in consumer demand (Kokkinou, Mitas, et al., 2023; Koninklijke Horeca Nederland, 2023). This risk could be partially mitigated by using data analytics, to gain visibility over demand, and make data-driven decisions regarding allocation of marketing resources, pricing, procurement, etc…. However, this requires investments in technology, processes, and training that are oftentimes (financially) inaccessible to these small SMEs.Benefit for societyThe proposed study touches upon several key enabling technologies First, key enabling technology participation and co-creation lies at the center of this proposal. The premise is that regional hospitality SMEs can achieve more by combining their knowledge and resources. The proposed project therefore aims to give diverse stakeholders the means and opportunity to collaborate, learn from each other, and work together on a prototype collaboration. The proposed study thereby also contributes to developing knowledge with and for entrepreneurs and to digitalization of the tourism and hospitality sector.Collaborative partnersHZ University of Applied Sciences, Hotel Hulst, Hotel/Restaurant de Belgische Loodsensociëteit, Hotel Zilt, DM Hotels, Hotel Charley's, Juyo Analytics, Impuls Zeeland.
Size measurement plays an essential role for micro-/nanoparticle characterization and property evaluation. Due to high costs, complex operation or resolution limit, conventional characterization techniques cannot satisfy the growing demand of routine size measurements in various industry sectors and research departments, e.g., pharmaceuticals, nanomaterials and food industry etc. Together with start-up SeeNano and other partners, we will develop a portable compact device to measure particle size based on particle-impact electrochemical sensing technology. The main task in this project is to extend the measurement range for particles with diameters ranging from 20 nm to 20 um and to validate this technology with realistic samples from various application areas. In this project a new electrode chip will be designed and fabricated. It will result in a workable prototype including new UMEs (ultra-micro electrode), showing that particle sizing can be achieved on a compact portable device with full measuring range. Following experimental testing with calibrated particles, a reliable calibration model will be built up for full range measurement. In a further step, samples from partners or potential customers will be tested on the device to evaluate the application feasibility. The results will be validated by high-resolution and mainstream sizing techniques such as scanning electron microscopy (SEM), dynamic light scattering (DLS) and Coulter counter.
A-das-PK; een APK-straat voor rijhulpsystemen Uit recent onderzoek en vragen vanuit de autobranche blijkt een duidelijke behoefte naar goed onderhoud, reparatie en borging van de werking van Advanced Driver Assistance Systems (ADAS), vergelijkbaar met de reguliere APK. Een APK voor ADAS bestaat nog niet, maar de branche wil hier wel op te anticiperen en haar clientèle veilig laten rijden met de rijhulpsystemen. In 2022 worden 30 ADAS’s verplicht en zal de werking van deze systemen ook gedurende de levensduur van de auto gegarandeerd moeten worden. Disfunctioneren van ADAS, zowel in false positives als false negatives kan leiden tot gevaarlijke situaties door onverwacht rijgedrag van het voertuig. Zo kan onverwacht remmen door detectie van een niet bestaand object of op basis van verkeersborden op parallelwegen een kettingbotsing veroorzaken. Om te kijken welke gevolgen een APK heeft voor de autobranche wil A-das-PK voor autobedrijven kijken naar de benodigde apparatuur, opleiding en hard- en software voor een goed werkende APK-straat voor ADAS’s, zodat de kansrijke elementen in een vervolgonderzoek uitgewerkt kunnen worden.