Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for classifying user behavior as anomalous. One of the methods includes obtaining user behavior data representing behavior of a user in a subject system. An initial model is generated from training data, the initial model having first characteristic features of the training data. A resampling model is generated from the training data and from multiple instances of the first representation for a test time period. A difference between the initial model and the resampling model is computed. The user behavior in the test time period is classified as anomalous based on the difference between the initial model and the resampling model.

Abstract: The present disclosure relates to a half-cast mark identification and damaged flatness evaluation and classification method for blastholes in tunnel blasting, including the following steps: S1-2: photographing first and second contrast images as well as a half-cast mark image after blasting; S3-6: performing denoising, gray-scale processing and binary processing on the above images, and identifying a boundary of a half-cast mark in each of the images; S7-9: determining a flatness damage variable, a quantitative relation among an area of a half-cast mark region, the damage variable and a fractal dimension, and a damage value of the half-cast mark image; S10-11: forming five-dimensional (5D) eigenvectors to obtain multi-dimensional digital information features of the images; and S12-13: selecting eigenvectors of 60 images as training data to input to a naive Bayes classifier (NBC), and taking eigenvectors of remaining 30 images as classification data to input the above well-trained NBC for classification.

Abstract: A medium storage device includes: a safe having, at a rear portion, an entrance for replenishment and recovery to which a transit cassette is connectable; an identification unit serving to identify whether a medium is a normal medium or a rejection medium; a temporary holding unit configured to temporarily accommodate a medium; a recycle cassette configured to accommodate the medium identified as the normal medium; a conveyance path configured to convey the medium between the identification unit, the temporary holding unit, and the recycle cassette; a control unit configured to control the conveyance path such that the medium replenished from the transit cassette is conveyed to the temporary holding unit, the medium conveyed to the temporary holding unit is conveyed to the identification unit, and the medium identified as the normal medium in the identification unit is conveyed to the recycle cassette.

Abstract: Presenting a virtual object includes obtaining, by a first device, a first geometric representation and a second geometric representation corresponding to a physical surface in a real environment, determining an initialization location on the first physical surface for a virtual object, obtaining a first normal for the first representation and a second normal for the second representation at the initialization location, and rendering the virtual object at the initialization location based on the first normal and the second normal.

Abstract: A method for enforcing contact tracing is provided including: associating, via a processor associated with a plurality of connected sensors, a first person with a first mobile device based in part on a first distance between the first person and the first mobile device; determining, via the processor, that the first person and the first associated mobile device are separated from each other by a second distance; notifying, via at least one light effect provided by an illumination device in communication with the processor, the first person that the first person and the first associated mobile device are separated from each other by the second distance. The method can further include: determining, via the processor, that a second person is positioned within predetermined proximity to the first person, and receiving, via the illumination device, contact tracing data on behalf of the first mobile device from the second mobile device.

Abstract: A system for identifying and determining a location of an individual is disclosed. The system is configured to: (1) identify individuals within a detection area based on a preliminary data set captured by imaging sensors; (2) show a coordination identifier on a display; (3) receive a identifier response signal transmitted by a communication device operated by an individual; (4) generate an identifier time stamp corresponding to receiving the identifier response signal; (5) obtain a imaging data set captured by the imaging sensors; (6) determine a head position pattern of the individuals; (7) identify a subset of the individuals including individuals having a head position pattern meeting a pre-determined head position pattern; (8) designate, if the subset consists of only one individual, the individual of the subset as a recognized individual; (9) determine the location of the recognized individual based on the imaging data set.

Abstract: An automated teller machine includes: a main body having an entrance; a reception unit; a temporary holding unit; an identification unit; a recycle cassette; a reject cassette; a deposit cassette; a utility cassette disposed in a lower portion of the main body; a conveyance path through which the medium is conveyed; and a control unit. The control unit controls the conveyance path such that when the medium is recovered through the recovery transit cassette, the medium recognized as the normal banknote by the identification unit, among the mediums stored in the deposit cassette and the recycle cassette, is temporarily stored in the temporary holding unit, and among the mediums temporarily stored in the temporary holding unit, the medium recognized as the normal banknote by the identification unit is recovered to the recovery transit cassette.

Abstract: An automated teller machine includes: a main body; a reception unit; a temporary holding unit; an identification unit; a recycle cassette; a reject cassette; a utility cassette; a conveyance path through which a medium is conveyed; and a control unit. The control unit controls the conveyance path such that when the medium is replenished through the transit cassette, the medium recognized as the normal banknote by the identification unit, among the mediums stored in the transit cassette, is temporarily stored in the temporary holding unit, and among the mediums temporarily stored in the temporary holding unit, the medium recognized as the normal banknote by the identification unit is transferred to the transit cassette.

Abstract: An automated teller machine includes: a main body; a reception unit; an identification unit; a recycle cassette; a reject cassette; a deposit cassette; a utility cassette; a conveyance path through which a medium is conveyed; and a control unit. The control unit controls the conveyance path such that when the medium is recovered through the recovery transit cassette, the medium recognized as the normal banknote by the identification unit, among mediums stored in the deposit cassette and the recycle cassette, is recovered to the recovery transit cassette, and when the medium is replenished through the replenishment transit cassette, the medium recognized as the rejection banknote by the identification unit, among replenishment mediums stored in the replenishment transit cassette, is replenished to the utility cassette.

Abstract: A financial transaction system includes: an automated teller machine providing medium stack information; a bank server that calculates provisional replenishment number information; and a medium management unit that prepares a transit cassette containing mediums required in replenishment transaction, and inputs the provisional replenishment number information in a memory of the prepared transit cassette. When the mediums in the transit cassette are replenished, the bank server calculates actual replenishment number information based on current medium stack information received from the automated teller machine, and provides the calculated actual replenishment number information to the automated teller machine.

Abstract: A medium storage device includes: a safe having, at a rear portion, an entrance for replenishment and recovery to which a transit cassette is connectable; an identification unit serving to identify whether a medium is a normal medium or a rejection medium; a temporary holding unit configured to temporarily accommodate a medium; a recycle cassette configured to accommodate the medium identified as the normal medium; a conveyance path configured to convey the medium between the identification unit, the temporary holding unit, and the recycle cassette; a control unit configured to control the conveyance path such that the medium replenished from the transit cassette is conveyed to the temporary holding unit, the medium conveyed to the temporary holding unit is conveyed to the identification unit, and the medium identified as the normal medium in the identification unit is conveyed to the recycle cassette.

Abstract: A medium storage device includes: a housing frame having, at a front portion, an entrance for replenishment and recovery to which a transit cassette is connectable, an identification unit serving to identify whether a medium is a normal medium or a rejection medium, a temporary holding unit configured to temporarily accommodate a medium, a recycle cassette configured to store the medium identified as the normal medium, a conveyance path configured to convey the medium between the identification unit, the temporary holding unit, and the recycle cassette, and a control unit configured to control the conveyance path such that the medium replenished from the transit cassette is conveyed to the temporary holding unit, the medium transferred to the temporary holding unit is conveyed to the identification unit, and the medium identified as the normal medium in the identification unit is conveyed to the recycle cassette.

Abstract: A medium storage device includes a safe having at a front portion a first entrance for replenishment and recovery to which a first transit cassette is selectively connected and at a rear portion a second entrance for replenishment and recovery to which a second transit cassette is selectively connected; an identification unit serving to identify whether the medium is a normal medium or a rejection medium; a recycle cassette configured to accommodate the medium recognized as the normal medium; a conveyance path configured to convey the medium between the first entrance, the second entrance, the identification unit, and the recycle cassette; and a control unit is configured to control the conveyance path such that the medium accommodated in the first transit cassette is conveyed to the identification unit, and the medium identified as the normal medium in the identification unit is conveyed to the recycle cassette.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for classifying user behavior as anomalous. One of the methods includes obtaining user behavior data representing behavior of a user in a subject system. An initial model is generated from training data, the initial model having first characteristic features of the training data. A resampling model is generated from the training data and from multiple instances of the first representation for a test time period. A difference between the initial model and the resampling model is computed. The user behavior in the test time period is classified as anomalous based on the difference between the initial model and the resampling model.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for clustering and visualizing textual data. A data clustering and visualization system clusters large volumes of semi-structured and unstructured textual data into categories. Each category can include a group of similar alerts and incidents. The categories are then graphically presented.

Abstract: Presenting a virtual object includes obtaining, by a first device, a first geometric representation and a second geometric representation corresponding to a physical surface in a real environment, determining an initialization location on the first physical surface for a virtual object, obtaining a first normal for the first representation and a second normal for the second representation at the initialization location, and rendering the virtual object at the initialization location based on the first normal and the second normal.

Abstract: A detection system (10) and a detection method (2000) are disclosed herein. The system includes a PIR sensor (12) positioned in an area comprising a plurality of sub-areas, the motion sensor comprising an optical device (22) having a plurality of sub-lenses (26, 28, 30), each sub-lens of the plurality of sub-lenses having a field of view (FOV) corresponding to a sub-area of the plurality of sub-areas. The system further includes at least one processor (32) coupled to the PIR sensor and configured to: activate the plurality of sub-lenses to generate a total sensor FOV comprising each FOV of the plurality of sub-lenses; and dynamically control the plurality of sub-lenses to subdivide the total sensor FOV, wherein the subdivided sensor FOV is smaller than the total sensor FOV.

Abstract: A composition for preventing or treating an infection or disease caused by a pathogenic Escherichia coli includes a Podoviridae bacteriophage (Esc-COP-30) having an ability to lyse the pathogenic Escherichia coli and a pharmaceutically acceptable carrier. A method for preventing or treating an infection or disease caused by a pathogenic Escherichia coli includes administering to a subject a Podoviridae bacteriophage and lysing the pathogenic Escherichia coli by the Podoviridae bacteriophage.

Abstract: A quantization method for neural network model includes following steps: initializing a weight array of a neural network model, wherein the weight array includes a plurality of initial weights; performing a quantization procedure to generate a quantized weight array according to the weight array, wherein the quantized weight array includes a plurality of quantized weights within a fixed range; performing a training procedure of the neural network model according to the quantized weight array; and determining whether a loss function is convergent in the training procedure and outputting a post-trained quantized weight array when the loss function is convergent.

Abstract: Systems and methods for chest condition determination can leverage one or more machine-learned models to process radiograph data to determine risk data (e.g., a preliminary diagnosis). For example, systems and methods can utilize a pathology model to process a chest x-ray to generate a tuberculosis diagnosis. The one or more machine-learned models can segment the lungs, can detect features in the data, and can pool the segmentation and located features to determine the diagnosis.