Abstract: An indoor lighting device of a vehicle includes: a substrate, a plurality of light sources assembled with the substrate to be arranged in a row, and a light guide panel including: a plurality of incidence parts such that light emitted by the light sources is incident thereupon, a diffusion area part provided behind the incidence parts to diffuse and reflect the light incident upon the incidence parts, a visual field area part provided behind the diffusion area part to emit the light diffused and reflected by the diffusion area part outside, and light diffusion holes provided behind the respective incidence parts. In particular, each of the light diffusion holes is surrounded by a transmission plane, a pair of reflection planes and a diffusion plane.

Abstract: Provided are an optimal stimulation position combination determination method using a preset guide system, a server, and a computer program. The optimal stimulation position combination determination method using a preset guide system according to various embodiments of the present invention is executed by a computing device and includes: simulating electric stimulation for a brain of a subject by using a plurality of stimulation position according to a preset guide system; and determining an optimal stimulation position combination for applying the electric stimulation to the preset target point in the brain of the subject by using a simulation result of the electric stimulation.

Abstract: Provided are optimal stimulation position calculation method, server, and computer program using AI model. The optimal stimulation position calculation method using an AI model, performed on a computing device, include: generating a head shape model based on user diagnosis information; generating a spherical model based on the head shape model; identifying a plurality of transfer coordinate data corresponding to each of a plurality of spherical coordinate data associated with the spherical model; and acquiring optimal stimulation position information by processing the plurality of transfer coordinate data as an input of an optimal position determination model, wherein the plurality of transfer coordinate data are data associated with perpendicular coordinates that can be expressed in the head shape model.