HANDLING REAL-WORLD CONTEXT AWARENESS, UNCERTAINTY AND VAGUENESS IN REAL-TIME HUMAN ACTIVITY TRACKING AND RECOGNITION WITH A FUZZY ONTOLOGY-BASED HYBRID METHOD

Handling Real-World Context Awareness, Uncertainty and Vagueness in Real-Time Human Activity Tracking and Recognition with a Fuzzy Ontology-Based Hybrid Method

Human activity recognition is a key task in ambient intelligence applications to Sneaker Cleaner achieve proper ambient assisted living.There has been remarkable progress in this domain, but some challenges still remain to obtain robust methods.Our goal in this work is to provide a system that allows the modeling and recognition of a set of complex

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Lithospheric electrical structure across the Bangong-Nujiang Suture in northern tibet revealed by magnetotelluric

Competing hypotheses have been proposed to explain the subduction polarity of the Bangong-Nujiang Tethyan Ocean and the formation of the high-conductivity anomaly beneath the Qiangtang terrane.However, the lithospheric architecture of the northern Tibetan Plateau is still poorly understood due to inhospitable environments and topography.Therefore,

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Investigation of the Visual Environment of Railway Station Stairs Using Qualitative and Quantitative Evaluation Methods

A qualitative evaluation was performed by comprehensively considering the lighting environment of each staircase of 20 railway stations in Tokyo, the width of the stairs, ACCESSORIES BELTS the type of ceiling, wall lighting fixtures, and the color.As a result of the quantitative evaluation of 20 stairs, it was found that a difference of up to 400 l

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