HUMAN ACTIVITY RECOGNITION USING BINARY SENSORS, BLE BEACONS, AN INTELLIGENT FLOOR AND ACCELERATION DATA: A MACHINE LEARNING APPROACH

Human Activity Recognition Using Binary Sensors, BLE Beacons, an Intelligent Floor and Acceleration Data: A Machine Learning Approach

Although there have been many studies aimed at the field of Human Activity Recognition, the relationship between what we do and where we do it has been little explored in this field.The objective of this paper is to propose an approach based on machine learning to address the challenge of ssp218dda-sf the 1st UCAmI cup, which is the recognition of

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Flow Shop Scheduling Problem with Machine Availability Constraints and Learning Effect based on a Hybrid Model

During the recent decades, flow shop scheduling problem itski has investigated with different assumptions.One of the most important one that has attracted many researchers, is consideration the concept of learning effect.In real situation of work environment, learning effect is not limited to job position, in other word, workers experiments also sh

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Glial expression of Swiss cheese (SWS), the Drosophila orthologue of neuropathy target esterase (NTE), is required for neuronal ensheathment and function

Mutations in Drosophila Swiss cheese (SWS) or its vertebrate orthologue neuropathy target esterase (NTE), respectively, cause progressive neuronal degeneration tg02-0325m in Drosophila and mice and a complex syndrome in humans that includes mental retardation, spastic paraplegia and blindness.SWS and NTE are widely expressed in neurons but can also

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