This paper proposes a novel received signal strength indicator (RSSI)-based self-adaptive indoor positioning algorithm which can be utilized in non-line-of-sight (LOS) environments through the employment of a weighted feedback framework. This algorithm is composed of the following parts: optimized RSSI algorithm, offset-triangulation algorithm and weighted feedback framework. The developed self...

In general people often spend 80-90% of their time in indoor environments, which include shopping malls, libraries, airports, universities, schools, offices, factories, hospitals, among others. In these environments, GPS does not work properly, causing inaccurate positioning. Currently, when performing the location of people or objects in indoor environments, no single technology can reproduce ...

3D models of indoor environments are important in many applications, but they usually exist only for newly constructed buildings. Automated approaches to modelling indoor environments from imagery and/or point clouds can make the process easier, faster and cheaper. We present an approach to 3D indoor modelling based on a shape grammar. We demonstrate that interior spaces can be modelled by iter...

Industrial hygienists (IHs) are called upon to investigate exposures to mold in indoor environments, both residential and commercial. Because exposure standards for molds or mycotoxins do not exist, it is important for the industrial hygienist to have a broad knowledge of the potential for exposure and health effects associated with mold in the indoor environment. This review focuses on the tox...

BACKGROUND People in modern societies spend more than 90% of their time indoors. Hence, indoor environmental quality (IEQ) has a significant impact on public health. In this article we describe health risks associated with indoor environments, illuminate barriers to overcoming these risks, and provide policy recommendations to achieve healthier indoor environments. OBJECTIVES The weight of ev...

This thesis describes a system and method for extending the current paradigm of geographic information systems (GIS) to support indoor environments. It introduces features and properties of indoor multi-building environments that do not exist in other geographic environments or are not characterized in existing geospatial models, and proposes a comprehensive representation for describing such s...

Wireless power transfer promises to revolutionize the way in which we use and mobile devices. However, low efficiencies prevent this technology from seeing wide scale real-world adoption. The aim of work is quasioptics develop a system composed dielectric lens fed by phased array reduce spillover losses, increasing beam efficiency, while working on antenna system’s Fresnel zone. DC-RF electroni...

A neural-network based approach for modelling propagation inside complex indoor environments is presented. Selection of the neural network model, initialization, and training and performance evaluation are studied in details. Furthermore, in order to determine optimal access point arrangement the neural network propagation model is merged with the particle swarm optimization method. In the case...