An investigation of thermal comfort inside an automobile during the heating period

This paper describes a combined theoretical and experimental study of thermal comfort during the heating period inside an automobile. To investigate the effects of thermal conditions on the human physiology and thermal comfort during the heating period, temperature, humidity and air velocity were measured at a number of points inside the automobile, so thermal conditions were accurately determined. The human body was divided into 16 sedentary segments, and the change of temperature was observed both experimentally and theoretically. During transient conditions of the heating period, heat and mass transfer between the human body and the interior environment of an automobile were simulated by a computational model, and predictions were compared with the measured data. It is shown that there is a good agreement between the model predictions and experimental results. By means of the present model, the effects of the fast transient conditions of the heating period on the sensible and latent heat transfer from the body, body segments skin temperatures and thermal sensation were investigated in detail.     

An analysis of human comfort when entering and exiting the rear seat of an automobile

This paper describes a study of human motion and human comfort when entering and exiting the rear seat of an automobile. A simulator was used to test several possible door frame configurations, and various positions of the front and rear seats. Thirty-six human subjects were asked to enter and exit the simulator five times for each configuration and to answer a subjective questionnaire. The motion performed by each test subject was recorded by means of a VHS recorder and an ELITE motion measurement system. A statistical analysis was performed on the data from the questionnaires and comfort rankings were produced for the various configurations. The most influential design parameters were identified and iso-comfort surfaces were defined and fitted which provided a simple means of quantifying the effect of one of the main parameters.     

An investigation into the factors influencing the detectability of oil spills using spectral indices in an oil-polluted environment

The aim of this article is to investigate and test the influence of oil spill volume and time gap (number of days between oil spill events and image acquisition date) on normalized difference vegetation index (NDVI) and normalized difference water index (NDWI). This was carried out to determine the effect of these factors on vegetation condition affected by the oil spill. Based on regression analysis, it was shown that increase in the volume of oil spill resulted in increased deterioration of vegetation condition (estimated using NDVI and NDWI) in the study site. The study also tested how the length of time gap between the oil spill and image acquisition date influences the detectability of impacts of oil spill on vegetation. The results showed that the length of time between image acquisition and oil spill influenced the detectability of impacts of oil spill on vegetation condition. The longer the time between the date of image acquisition and the oil spill event, the lower the detectability of impacts of oil spill on vegetation condition. The NDVI seemed to produce better results than the NDWI. In conclusion, time and volume of oil spill can be important factors influencing the detection of pollution using vegetation indices (VIs) in an oil-polluted environment.     

It is not either or: An initial investigation into combining collaborative and individual learning using an ITS

International Journal of Computer-Supported Collaborative Learning - Research on Computer-Supported Collaborative Learning (CSCL) has provided significant insights into why collaborative learning...