[1] We compare open-closed field line boundary positions from the BATS-R-US Global MHD model and CANOPUS photometer measurements of red-line emissions. We choose intervals of steady interplanetary and ionospheric conditions in order to adhere to the ''steady-state'' picture that we are trying to address. Nine intervals are chosen that correspond to stable IMF and auroral conditions that can be simulated with the MHD model. We find that on average, the steady-state BATS-R-US MHD model provides an excellent estimate of the open-closed field line boundary proxy as determined by the red-line auroral emissions. Typical errors between the model calculations of the openclosed field line boundary and the observations are within the inherent error in using the red-line emissions.

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In order to meet the needs of the visually impaired to learn Braille and improve the efficiency of teachers teaching Braille, this paper uses Internet of Things technology and embedded technology to design a new type of Braille learning machine to optimize the existing Braille teaching. The Braille teaching system is designed through the MQTT protocol to realize the network control of multiple Braille learning machines. A micro motor is used to control the lifting of a single braille bump, and a dual CPU control architecture is used to control the lifting of the braille bump, which improves its reusability compared with traditional braille boards. We tested the accuracy of Braille conversion, and the experimental results were in line with expectations. This research can better serve the visually impaired and bring convenience to their Braille learning.

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