Abstract: A system of predicting risks with biomedical data includes a data collecting unit for receiving a plurality of data before arranging and integrating each of the plurality of data to create a plurality of medical data; a data processing unit for receiving the plurality of medical data, performing a data processing process on each of the plurality of medical data, and arranging and integrating each of the processed data to create a plurality of risk determination information; and a judgment unit comprising a storage unit and a prediction unit, wherein the plurality of risk determination information is stored in the storage unit, and the prediction unit performs estimation according to the plurality of risk determination information to generate a risk evaluation information.

Abstract: A smart system for monitoring a cognition status of a user includes an electroencephalography (EEG) acquisition module, configured to capture a plurality of brainwave signals; an analog filter circuit, coupled to the EEG acquisition module and configured to amplify the plurality of brainwave signals; an analog to digital (ADC) circuit, coupled to the analog filter circuit and configured to transform the plurality of brainwave signals into a plurality of digital signals; and a digital signaling processing (DSP) circuit, configured to retrieve a plurality of characteristics from the plurality of digital signals to determine the cognition status of the user.

Abstract: A method for recognizing brainwave signals of a brain-computer interface (BCI), includes determining a steady-state visual evoked potential (SSVEP) corresponding to an Oz electrode channel according to the brainwave signals when in a rest state; determining the SSVEPs respectively corresponding to the Oz electrode channel, an O1 electrode channel and an O2 electrode channel according to the brainwave signals when in a stimulating state; and determining a stimulus source of a glance attention according to the SSVEPs of the O1 electrode channel and the SSVEP of the O2 electrode channel; wherein the glance attention stimulates the brainwave signals when in the stimulating state.

Abstract: A license plate recognition system and a license plate recognition method are provided. The license plate recognition system includes an image capturing module, a determination module and an output module. The image capturing module is utilized for capturing an image of a target object. The determination module is utilized for dividing the image of the target object into a plurality of image blocks. The determination module utilizes the plurality of image blocks to generate feature data and perform a data sorting process on the feature data to generate a first sorting result. The output module outputs the sorting result.