AY2023 The 1st Gakuyugo Seminar
- Date&Time:
- Apr 19, 2023 16:50~18:35
- Venue:
- Held online
Department of Complexity Science and Engineering And Data-Driven Science
Professor OKADA Masato
Bayesian measurement, which introduced Bayesian inference into measurement science, will be suggested in this seminar. The basic concept of Bayesian measurement will be illustrated with an example of spectral decomposition. The project to apply Bayesian measurement to the world’s largest third-generation synchrotron radiation facility, SPring-8, will also be introduced during the session.
Scheme to Flexible Utilization of Biodata
Visiting Professor GOTO Susumu
Numerous experiment data are being produced and stored in databases in life science. Databases include knowledge published as textbooks or academic papers. These databases are all valuable, but it is difficult to select necessary related information and use them. Schemes to use data combining them will be introduced in the seminar.
Possibility of the Inverse-Square Law of Distance
Associate Professor KOZAKI Miki
Illuminance is a photometric quantity used to measure light: the amount of light illuminated on a face of an object. The relationship between illuminance and luminous intensity of light emitted from the light source to a direction is expressed by the formula of the inverse-square law of distance: E=Icosθ/r2 (E: illuminance; Icosθ: luminous intensity; r: distance). Research that this illuminance calculation is applied to other visual environment evaluations will be introduced in the seminar.