According to one embodiment, a measurement method includes: acquiring a first picture including a background image and a substance, the substance allowing transmission of light from the background image; acquiring a second picture including the background image and the substance in a different positional relation with respect to the first picture; and calculating a first displacement amount representing a difference in position of the background image between the first picture and the second picture.

A component mounting device includes a head unit including a mounting head configured to mount a component on a substrate, and an imaging unit provided on the head unit and configured to image at least one of a suction position of the component to be suctioned by the mounting head and a mounting position of the component mounted by the mounting head from a plurality of directions, such that the imaging unit is configured to capture a first image and a second image. The component mounting device is configured to expand or contract the first image captured by the imaging unit in accordance with an imaging direction of the second image, and acquire a height position of an imaged location based on the first image that has been expanded or contracted and the second image.

An apparatus for classifying a brain tissue area as functional or non-functional by a stimulation of the brain includes a receiver unit for receiving information about a performed stimulation, a recording device for recording images that represent the brain tissue area, a detection unit for detecting a change in perfusion in the brain tissue area, and a classification unit configured to determine with the information whether there is a correlation between the performed stimulation and the detected change in perfusion, and to classify the brain tissue area as functional or as non-functional. The recording device is an endomicroscope for recording endomicroscopic images of the brain tissue area with a spatial resolution better than 20 μm and a frame rate of at least 0.4 frames per second. The detection unit is configured to detect a change in perfusion based on the positions of certain tissue structures in the recorded images.

Example methods, apparatuses, and/or articles of manufacture are disclosed that may be implemented, in whole or in part, using one or more computing devices to facilitate or support one or more processes and/or operations for one or more on-line recommendations, such as product-related recommendations, for example.

Devices and methods are presented for managing data security. One example method includes receiving user identification information from a screen of a device that is connectable to a database of secure information. The method includes authenticating the user identification information, the authenticating includes capturing image data of a user associated with the user identification information. The method provides access to the database of secure information upon authenticating the user identification information. The method records data of user interactive input and viewed images displayed on the screen while the access provided. The method stores audit data for the user when accessing the database of secure information, the audit data being associated with a history of use by the user. The audit data including a plurality of events associated with the use. The method enables replay of the audit data for at least one of the plurality of events associated with the use.

A device for detection of surface defects on a terminal surface of an optical fiber. The device includes a digital microscope configured to capture an image of a terminal surface; and a mechanism for analyzing the image configured to detect surface defects present on the terminal surface, the analysis mechanism integrating a “U-Net”-type neural network having had its training phase carried out via an enhancer. The enhancer is configured to create training images, intended to train the neural network, based on reference images. The training images are obtained from the reference images by only applying flips, rotations and/or luminosity, contrast, or shade variations to the reference images.

A method of operating an activity recognition system includes capturing ambient radio frequency (RF) data by an RF sniffer. The ambient RF data is then received by a processor. The processor reduces noise content of the ambient RF data. Background is then subtracted from the ambient RF data by the processor. The processed ambient RF data is then converted into an image by the processor. The system generates successive images for each one of a plurality of time intervals. An image processing algorithm, stored in a storage medium and executed by the processor, is applied to the plurality of successive images to determine activity recognition.

An apparatus for classifying a brain tissue area as functional or non-functional by a stimulation of the brain includes a receiver unit for receiving information about a performed stimulation, a recording device for recording images that represent the brain tissue area, a detection unit for detecting a change in perfusion in the brain tissue area, and a classification unit configured to determine with the information whether there is a correlation between the performed stimulation and the detected change in perfusion, and to classify the brain tissue area as functional or as non-functional. The recording device is an endomicroscope for recording endomicroscopic images of the brain tissue area with a spatial resolution better than 20 μm and a frame rate of at least 0.4 frames per second. The detection unit is configured to detect a change in perfusion based on the positions of certain tissue structures in the recorded images.

A non-transitory computer-readable storage medium storing a program causing a computer to perform the following, obtaining a radiation moving image in which a chest portion of a subject when the subject breathes is shown; analyzing a dynamic state of the chest portion based on the radiation moving image obtained in the obtaining; and extracting impedance regarding breathing based on an analysis result obtained in the analyzing.

A non-transitory storage medium stores instructions readable and executable by at least one electronic processor to receive clinical data for a current patient (P); search a database of CT scans and/or patient-specific mechanical ventilation models for other patients using the clinical data for the current patient as a search criterion to identify a similar patient in the database and similar patient data (S) comprising a CT scan and/or a patient-specific mechanical ventilation model for the similar patient; determine a patient-specific mechanical ventilation model for the current patient based on the CT scan and/or patient-specific mechanical ventilation model for the similar patient; generate ventilator configuration data for mechanically ventilating the current patient based on the determined patient-specific mechanical ventilation model for the current patient.