Abstract:
A surface-emitting laser apparatus includes: a surface-emitting laser element; and a driving apparatus supplying a modulation-driving current to the surface-emitting laser element. The modulation-driving current is intensity-modulated to vary across a value of a bias current. The number of lateral modes of laser oscillation of the surface-emitting laser element changes from one to three at maximum in accordance with a value of the modulation-driving current. Among changing currents at which number of the lateral modes of the laser oscillation of the surface-emitting laser element changes, if a first changing current is defined at which the number of the lateral mode of the laser oscillation changes from one to two, the driving apparatus supplies the modulation-driving current to the surface-emitting laser element. The modulation-driving current is set so that a value of the first changing current is not between the bias current and a maximum value of the modulation-driving current.
Abstract:
Brightness profile data are extracted based on side view image data of an optical fiber, machine learning is performed by using teacher data indicating a correspondence relationship between brightness profile in a radial direction of the optical fiber and a type of the optical fiber, the teacher data being created based on the brightness profile data, a classification model is created to be able to determine the type of the optical fiber for an arbitrary optical fiber based on the brightness profile data indicating brightness profile in the radial direction of the arbitrary optical fiber, and the type of the optical fiber is determined for each of a pair of optical fibers by using the classification model based on the brightness profile data that is extracted based on side view image data of the pair of optical fibers as a target. The pair of optical fibers are fusion-spliced based on a fusion condition that is set in accordance with a combination of respective determined types of the optical fibers.