Abstract:
A process for producing crystal 1-kestose wherein granular crystal 1-kestose in the form of large crystals can be produced at a high yield is disclosed. A highly pure solution of 1-kestose is concentrated to a Brix of 75 or higher; either seed crystals are added, or the solution is vacuum-concentrated to generate microcrystals for use as nuclei; then, a crystal growing step by vacuum-concentration and a microcrystal dissolving step for redissolving microcrystals which have formed in the concentrate are repeated at least twice each. Alternatively, a highly pure solution of 1-kestose is concentrated to a Brix of 80 or higher; either seed crystals are added, or the solution is allowed to initiate crystallization; after crystals are allowed to grow, a cooling step where the temperature is lowered by 5° C. to 20° C. from the previous step and a crystal growing step where the concentrate is maintained at the temperature to allow the crystals to grow are repeated at least twice each. Also, an enzyme for producing 1-kestose efficiently from sucrose is disclosed.
Abstract:
There are provided an imaging section imaging a subject and generating a plurality of images; an evaluating section performing evaluation on the plurality of images generated by the imaging section; a selecting section selecting, based on an evaluation result of the evaluating section, a part of images from among the plurality of images generated by the imaging section; a recognizing section performing scene recognition on a plurality of images selected by the selecting section; and a determining section determining, based on a recognition result of the recognizing section, reproduction order of the plurality of images subjected to the scene recognition.
Abstract:
There are provided an imaging section imaging a subject and generating a plurality of images; an evaluating section performing evaluation on the plurality of images generated by the imaging section; a selecting section selecting, based on an evaluation result of the evaluating section, a part of images from among the plurality of images generated by the imaging section; a recognizing section performing scene recognition on a plurality of images selected by the selecting section; and a determining section determining, based on a recognition result of the recognizing section, reproduction order of the plurality of images subjected to the scene recognition.
Abstract:
There are provided an imaging section imaging a subject and generating a plurality of images; an evaluating section performing evaluation on the plurality of images generated by the imaging section; a selecting section selecting, based on an evaluation result of the evaluating section, a part of images from among the plurality of images generated by the imaging section; a recognizing section performing scene recognition on a plurality of images selected by the selecting section; and a determining section determining, based on a recognition result of the recognizing section, reproduction order of the plurality of images subjected to the scene recognition.