This thesis documents a sensor networking project with an interest in internal environment monitoring in relation to thermal comfort. As part of this project sensor nodes were designed, built and deployed. Data was collected from the nodes via a wired Ethernet network and was stored in a database. The network remains operational several years after its initial deployment. The collected data was analyzed in conjunction with data from a local meteorological station and the building's smart fiscal energy meters. The analysis suggests the possibility of automated thermal comfort classification using data from a sensor network.

RESUME My dissertation follows the subject of coding procedure. It focuses on the graphical coding, which naturally reveals within the child's artwork development. The dissertation aims at the transformation of 2D to 3D, vice versa. The four to five years old children are observed how they decode the three dimensional (3D) structure consisted of cubes into a two dimensional (2D) squared network. Observed children are offered various activities to prove whether they are able to accept the code, using the code to decode their own structure and finally build the structure using this code. My dissertation does not only represent an overview of commonly used symbols and methods and their records, but in particular brings interesting results and analyses of tests and comparations between individual children and kindergartens.

No description available.