This paper presents an experimental study on anaerobic degradation of lipids-rich food wastes by using the high solids co-digestion process. The experiments were conducted under mesophilic (35 degrees C) and thermophilic (55 degrees C) condition, respectively, by using a semi-continuous flow completely mixed reactor. The influent TS level was controlled at around 10%, while the hydraulic retention time (HRT) was changed from 15 days to 7.5 days. The lipids (fats or oil and grease) content in the influent TS was changed from 8% to 40% by adding salad oil (vegetable) and lard (animal) to the food wastes. The result of this study showed that the food wastes containing high lipids content was effectively degraded by the high solids co-digestion process and over 85% of lipid was degraded to biogas with 60-65% of methane. In addition, thermophilic methane fermentation was more effective for reducing lipids and had more higher loading capacity compared with mesophilic condition.

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To realize fully automated face recognition, there must be thorough processing from detection of the face in a scene to recognition. There have been many reports on face recognition, however, studies on detection available for recognition are very few. One of the difficulties comes from many variations of input condition such as illumination and background. As for access control systems such as security or login, input conditions can be rather fixed. Under this condition, fully automated person identification by the facial image is tried and achieved. The face in a scene is first sought by coarse-to-fine processing based on a trapezoid pyramid architecture of a gray-level image, and the result is applied to the recognition. The simple algorithm is implemented by software in a personal computer, and this realizes a series of processing within one second.