Abstract: A magnetic component includes a core, at least one coil and a thermal conductive filler. The core includes an inner leg, at least two outer legs and at least one non-bonding region. The at least one coil is wound around the inner leg or the at least two outer legs. The thermal conductive filler covers a part of the core. At least one part of the at least one non-bonding region is not covered by the thermal conductive filler.

Abstract: A system and method of mode selection face recognition with parallel CNNs are disclosed. The system includes a mode selection module, a parallel convolutional neural network module, a database module and an ID judgment module. The parallel convolutional neural network module includes several convolutional neural network units. The mode selection module can determine the facial characteristics of each facial image, and send each facial image to the convolutional nerve corresponding to its facial characteristics The results serve as a benchmark for the ID judgment module to compare and test other facial images. By using several convolutional neural network units for facial image training for different facial characteristics of the same person, the noise from other convolutional neural network units can be reduced and the similarity in the feature vector extraction stage can be improved. The resulting accuracy of face recognition will increase.

Abstract: A personalized parameter learning method, a sleep-aid device and a non-transitory computer readable medium are provided. The personalized parameter learning method for a sleep-aid device is provided. The personalized parameter learning method includes the following steps. A process device computes a measured sleep quality of a user after operating a sleep-aid device with an inputted parameter setting at least according to a subjective feedback from the user. The processing device generates a plurality of candidate parameter settings according to the measured sleep quality. The processing device generates a plurality of predicting sleep qualities corresponding the candidate parameter settings. The processing device obtains a recommending parameter setting by selecting one of the candidate parameter settings according to the predicting sleep qualities.

Abstract: An integrated vertical inductor includes a bobbin having an elongated, hollow tube, an upper flange disposed at an upper end of the elongated, hollow tube, and a base structure integrated with a lower end of the elongated, hollow tube. The elongated, hollow tube comprises a central opening extending along its longitudinal direction. The base structure comprises a lateral opening communicating with the central opening. A first magnetic core piece is installed in the central opening of the elongated, hollow tube. A second magnetic core piece is juxtaposed with the first magnetic core piece. A plurality of electrodes is disposed on a bottom surface of the base structure.

Abstract: A personalized parameter learning method, a sleep-aid device and a non-transitory computer readable medium are provided. The personalized parameter learning method for a sleep-aid device is provided. The personalized parameter learning method includes the following steps. A process device computes a measured sleep quality of a user after operating a sleep-aid device with an inputted parameter setting at least according to a subjective feedback from the user. The processing device generates a plurality of candidate parameter settings according to the measured sleep quality. The processing device generates a plurality of predicting sleep qualities corresponding the candidate parameter settings. The processing device obtains a recommending parameter setting by selecting one of the candidate parameters according to the predicting sleep qualities.

Abstract: An integrated vertical inductor includes a bobbin having an elongated, hollow tube, an upper flange disposed at an upper end of the elongated, hollow tube, and a base structure integrated with a lower end of the elongated, hollow tube. The elongated, hollow tube comprises a central opening extending along its longitudinal direction. The base structure comprises a lateral opening communicating with the central opening. A first magnetic core piece is installed in the central opening of the elongated, hollow tube. A second magnetic core piece is juxtaposed with the first magnetic core piece. A plurality of electrodes is disposed on a bottom surface of the base structure.