Chopping observations with a tip-tilt secondary mirror have conventionally been used in ground-based mid-infrared observations. However, it is not practical for next generation large telescopes to have a large tip-tilt mirror that moves at a frequency larger than a few Hz. We propose an alternative observing method, a "slow-scanning" observation. Images are continuously captured as movie data, while the field-of-view is slowly moved. The signal from an astronomical object is extracted from the movie data by a low-rank and sparse matrix decomposition. The performance of the "slow-scanning" observation was tested in an experimental observation with Subaru/COMICS. The quality of a resultant image in the "slow-scanning" observation was as good as in a conventional chopping observation with COMICS, at least for a bright point-source object. The observational efficiency in the "slow-scanning" observation was better than that in the chopping observation. The results suggest that the "slow-scanning" observation can be a competitive method for the Subaru telescope and be of potential interest to other ground-based facilities to avoid chopping.
In this research, we developed a caption system which converts the voice of the speaker in classes, lectures and events at the university into captions in real time and presents them to the hearing-impaired students by means of voice recognition technology, wireless LAN technology, and computer summary transcript technology. A field test in university classes revealed that this system could convert the voice of teachers to captions with a high accuracy of 93%. Unlike conventional speech recognition methods, there is no need for a specially trained person to repeat the speech, and so the system has higher practicability.
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