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Researchers have created an artificial neural network that identifies the activities in a user's average day through a catalogue of images.
That is, all work that studies design assumes an underlying model of the process; the model identifies the activities or variables of importance.
It identifies the activities performed, traces costs to these activities, and then uses various cost drivers to trace the cost of activities to the final products/services.
The initial classification model identifies the activities performed by the sows using a multi-process Kalman filter having, as input, 3-axes data from accelerometers.
This diary-based study identifies the activities of older people, and suggests some value mechanisms.
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Sensors in a hospital room capture patient motions as silhouette-like moving images, and a trained algorithm identifies the activity -- whether a patient is being moved into or out of bed, for example, or into or out of a chair.
They identified the activities associated with each program and established performance objectives for each activity.
The results showed preliminary success: on average, the algorithm for detecting mobility activities correctly identified the activities a patient was performing 87% of the time.
The first task is to identify the activities that drive costs.
Here, we develop algorithms to identify the activities that are optimal to target at each time step.
This involves the development of system models to identify the activities that an organisation must perform to meet its goals.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com