At this critical moment in time, April 2020, when we are living with the cataclysmic event of Covid-19, television – a medium declared almost dead at the beginning of this millennium – has become a vital resource for solace, daydreaming, social ritual, knowledge and storytelling. In conditions of lockdown, we turn towards television, not away from it (Ellis, 2020; Negra, 2020). We are checking news on national channels, and tuning to live broadcasting for campaigns to help the health services and communities in need, such as with the globally broadcast One World: Together At Home special. We are curling up on the sofa to engage with gripping drama, like Ozark streaming on Netflix, re-watching favourite series from the beginning, such as Buffy or Breaking Bad, and taking part in television quiz shows like Pointless, even watching repeats, to recreate a pub quiz atmosphere in the living room. On a darker note, we are also overloaded with corona news; the ritual evening news bulletin can be a source of anxiety and a cause of sleeplessness. Television infrastructure can break down, from broken satellite dishes to lost remote controls, which are tricky to fix when technicians are not so readily available to help; and television can be an economic burden. The cost of streaming Breaking Bad can push the limits of monthly contracts and data packages. Television both lightens and darkens the mood of domestic spaces and social relations in lockdown culture.
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At this critical moment in time, April 2020, when we are living with the cataclysmic event of Covid-19, television – a medium declared almost dead at the beginning of this millennium – has become a vital resource for solace, daydreaming, social ritual, knowledge and storytelling. In conditions of lockdown, we turn towards television, not away from it (Ellis, 2020; Negra, 2020). We are checking news on national channels, and tuning to live broadcasting for campaigns to help the health services and communities in need, such as with the globally broadcast One World: Together At Home special. We are curling up on the sofa to engage with gripping drama, like Ozark streaming on Netflix, re-watching favourite series from the beginning, such as Buffy or Breaking Bad, and taking part in television quiz shows like Pointless, even watching repeats, to recreate a pub quiz atmosphere in the living room. On a darker note, we are also overloaded with corona news; the ritual evening news bulletin can be a source of anxiety and a cause of sleeplessness. Television infrastructure can break down, from broken satellite dishes to lost remote controls, which are tricky to fix when technicians are not so readily available to help; and television can be an economic burden. The cost of streaming Breaking Bad can push the limits of monthly contracts and data packages. Television both lightens and darkens the mood of domestic spaces and social relations in lockdown culture.
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Light scattering is a fundamental property that can be exploited to create essential devices such as particle analysers. The most common particle size analyser relies on measuring the angle-dependent diffracted light from a sample illuminated by a laser beam. Compared to other non-light-based counterparts, such a laser diffraction scheme offers precision, but it does so at the expense of size, complexity and cost. In this paper, we introduce the concept of a new particle size analyser in a collimated beam configuration using a consumer electronic camera and machine learning. The key novelty is a small form factor angular spatial filter that allows for the collection of light scattered by the particles up to predefined discrete angles. The filter is combined with a light-emitting diode and a complementary metal-oxide-semiconductor image sensor array to acquire angularly resolved scattering images. From these images, a machine learning model predicts the volume median diameter of the particles. To validate the proposed device, glass beads with diameters ranging from 13 to 125 µm were measured in suspension at several concentrations. We were able to correct for multiple scattering effects and predict the particle size with mean absolute percentage errors of 5.09% and 2.5% for the cases without and with concentration as an input parameter, respectively. When only spherical particles were analysed, the former error was significantly reduced (0.72%). Given that it is compact (on the order of ten cm) and built with low-cost consumer electronics, the newly designed particle size analyser has significant potential for use outside a standard laboratory, for example, in online and in-line industrial process monitoring.
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