Abstract: There is provided a locker with a motion sensor. The motion sensor identifies whether an object is put into or taken out from the locker by calculating coordinates of the object using a motion detection algorithm, by calculating a moving vector of the object using an image time differential algorithm or by comparing a current image frame and a background image frame, and outputs a put-in signal and a taken-out signal to a post control system.

Abstract: A method for predicting clinical severity of a neurological disorder includes steps of: a) identifying, according to a magnetic resonance imaging (MRI) image of a brain, brain image regions each of which contains a respective portion of diffusion index values of a diffusion index, which results from image processing performed on the MRI image; b) for one of the brain image regions, calculating a characteristic parameter based on the respective portion of the diffusion index values; and c) calculating a severity score that represents the clinical severity of the neurological disorder of the brain based on the characteristic parameter of the one of the brain image regions via a prediction model associated with the neurological disorder.

Abstract: A motion detection method applied into an image sensor device includes: providing a plurality of regions of interest (ROIs) on at least one monitoring image; for each region of interest (ROI): detecting whether at least one motion event occurs within the each ROI; and determining a priority level of the each ROI according to at least one feature information of the at least one motion event; and determining an alarm schedule of the ROIs for a user according to a plurality of priority levels of the ROIs.

Abstract: A method, system, and article provide image processing with power reduction while using universal serial bus cameras.

Abstract: An electronic medical record data analysis system and an electronic medical record data analysis method are provided. The electronic medical record data analysis system includes a storage device and a processor. The storage device is configured to store an electronic medical record data analysis module and a post-processing module. The processor obtains electronic medical record data. The processor executes the electronic medical record data analysis module to analyze the electronic medical record data and generate a plurality of disease diagnosis codes and a plurality of correlation degree scores corresponding to the electronic medical record data. The processor sorts the plurality of disease diagnosis codes according to the plurality of correlation degree scores, to generate an initial list, and executes the post-processing module to post-process the initial list according to a preset coding rule. The processor generates a recommendation list according to the post-processed initial list.

Abstract: A low profile design of multi-in-one card connector includes a base frame having two upright sidewalls and a guide groove at the front side of each upright sidewall and defining a front insertion opening, multiple terminal sets mounted in the base frame, two limiter blocks vertically movably mounted in the guide grooves of the upright sidewalls each having a top stop flange and a bottom stop flange, at least one of the top and bottom stop flanges of each limiter block being held in the front insertion opening to prohibit insertion of a second memory card after insertion of a first memory card, and two elastic members supporting the limiter blocks in an upper limit position.