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An automated weather-unaffected building system has been developed which is aimed at creating a system for producing an attractive building system for the next generation. This system makes improvements with regards to problems pertaining to labor productivity, and creates a comfortable production environment for the new type of engineers of the future. It can provide high quality building at a low cost. This system is based on the procedure that after the uppermost floor of the building is assembled on the ground level, various automated mechanical devices necessary for structural work are installed. The structural body of the building is constructed one floor at a time and each part in sequence under weather proof working conditions. Each is raised to the uppermost floor by means of a jack system. This paper reports the summary and execution of the above automated weather-unaffected building construction system. PREFACE An automated weather-unaffected building construction system has been developed, which aims at creating an attractive building production system for the next generation that can construct a high quality building at a low cost. A group with the objective of developing the automated weather-unaffected building construction system was organized in 1991. A period of 2 years passed from 1993 to 1994 for the period of examination and planning of the system. Then a mock-up model was assembled and basic experiments were conducted to verify the performance

Based on sensory analysis, quantitative evaluation method of the luminance non-uniformity, or "mura", of liquid crystal displays (LCDs) was investigated. We conducted a perception test by using pseudo mura and this approach led to "just noticeable differences" according to the various sizes of muras, intending to clarify the detection method and create an automated mura inspection process. The quality level of a mura can be described as a function between the mura area and the contrast, using the minimum perceivable contrast, or the "just noticeable difference" (JND) contrast, at that mura size. We developed the detection method by using a hardware system based on a commercially available CCD camera and a PC and ensured that the mura regions were distinguished from the background area even with the JND contrast. This paper describes the research in human perception and the approach to adapt the intrinsic rule of sensory analysis to the quantitative evaluation of mura.

The visual performance ofliquid crystal displays (LCDs) has usually been evaluated by visual inspection during the manufacturing process. One ofthe visual problems hardest to recognize are regions oflow-contrast and non-uniform brightness called muras. The accurate and consistent detection ofthe muras is extremely difficult because there are various shapes and sizes ofmuras and the inspection results tend to depend on the operators. We conducted a study on the quantitative evaluation ofmuras based on visual analysis , intending to clarify the detection method and create an automated mura inspection process. We developed an algorithm and a hardware system based on a commercially available CCD camera and a PC with an image processor board. This system can successfully identify and evaluate muras. The algorithm was developed from research on visual analysis and human perception. We converted the front-of-screen (FOS) images from the LCDs into distributions ofluminance information, and the mura regions were distinguished from the background area using our novel algorithm. This approach also led to a weighting function for the categories ofmuras that appear in the panels . Our identification method can also distinguish between the muras caused by flaws in the LCD cells and the intentionally designed non-uniform luminance distribution ofthe backlight.

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