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In this study the aim of this research is to clarify the occurrence of condensation. We describe experimental and numerical study characteristics and the formation of condensation and temperature are carried out using a smoke and liquid crystal sheet, and the flow characteristics become clearer. A sealed tail lamp model was used, and measurements were taken of the flow characteristics and temperature distribution inside of the lamp when part of the unit was heated over varying lengths of time, the results being that from these relationships the mechanism of condensation was made clear. Moreover, results received by numerical computation were reasonably consistent with experimental results.

We have completed a system that can evaluate light distribution in real time as you view the screen, using computerized vehicle simulation graphic analysis of the light distribution pattern of headlamp used in automobiles. The system is able to generate a composite evaluation using the practical application of multi-fuzzy inference forms that include peripheral field of vision, calculating the unevenness of the light distribution on the road surface as well as the luminous flux (both emitted and reflected back) that illuminates the road, sidewalk and wall, at the same time evaluating the quantified data of disability glare, discomfort glare and contrast in relation to the visibility of the target (pedestrian, road delineation lines, fallen objects on the road) and adding glare from an oncoming vehicle and background brightness (of the sky, road surface, wall).

We have developed a light distribution evaluation system capable of analyzing automobile headlamp light distribution patterns, on-screen, by implementing computerized vehicle simulation graphic analysis. This system enables one to comprehensively evaluate the driver's vision, including peripheral vision, by analyzing quantified data on contrast, discomfort glare, and disability glare effecting target visibility (ie. of pedestrian and delineation lines), adding in background brightness (ie. of sky, road, and guard fence) and oncoming vehicle glare, and arranging the screen to be at the driving viewing angle to be analyzed. Also, the video screen brightness is adjusted to look more like actual outdoor conditions by using real data, gathered outdoors, as a basis of calculation. The road lines are given in compound curvature in the vertical and in the horizontal dimensions.