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The above described evaluation methods for indoor climate variables and damage functions allow an assessment on an annual, seasonal and monthly time-scale.
This paper therefore presents a review of metrics and methods for indoor daylight availability assessment, as well as estimation methods used for predicting potential energy saving from daylight.
The growth of short-range wireless communication networks, both for personal or industrial purposes, as well as the compatibility between network devices (WiFi-certified), has contributed to the development of radiodetermination methods for indoor environments.
However, since satellite signals do not penetrate buildings adequately, it is not possible for such systems to function in indoor environments, which has led to a variety of proposed methods for indoor localization and tracking in an attempt to provide seamless and ubiquitous services for mobile users [2 14].
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We propose a method for indoor versus outdoor scene classification using a probabilistic neural network (PNN).
We examine robot experiments using the proposed method for indoor navigation and scoring soccer goals.
A multifunctional solar system was used and a method for indoor ventilation was proposed.
The drawbacks of DOA method for indoor localization made us focus on using the TDOA-based localization method.
A model-based method for indoor mobile robot localization is presented herein; this method relies on monocular vision and uses straight-line correspondences.
In "TSaT-MUSIC: A Novel Algorithm for Accurate and Rapid Ultrasonic 3D Localization," the authors Mizutani, Ito, Sugimoto, and Hashizume propose a method for indoor localization using ultrasonic acoustic signals.
The aim of this paper is to provide a new hybrid strength time-based method for indoor localization that takes advantage of easily available RSS measurements and does not need time synchronization thanks to RTT (Round-Trip Time) measurements.
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Justyna Jupowicz-Kozak
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