A method of identifying individuals impaired by a psychoactive substance such as cannabis. The method includes presenting monocularly to a subject being tested; to each eye separately, a sinusoidal grating pattern of fixed spatial frequency with achromatic contrast or color contrast between grating stripes being temporally alternately modulated at a temporal frequency that ranges between 10 Hz and 60 Hz with a pattern of the contrast being such that the subject being tested can see a frequency doubling in the grating pattern.

A system for data transport in a Distributed Antenna System (DAS) includes a plurality of remote Digital Access Units (DAUs) located at a Remote location. The plurality of remote DAUs are coupled to each other and operable to transport digital signals between the plurality of remote DAUs. The system also includes a plurality of central hubs. Each of the plurality of central hubs is in communication with one of the remote DAUs using an electrical communications path. The system further includes a plurality of transmit/receive cells. Each of the plurality of transmit/receive cells includes a plurality of remote hubs. Each of the remote hubs in one of the plurality of transmit/receive cells is in communication with one of the plurality of central hubs using an optical communications path.

A system for data transport in a Distributed Antenna System (DAS) includes a plurality of remote Digital Access Units (DAUs) located at a Remote location. The plurality of remote DAUs are coupled to each other and operable to transport digital signals between the plurality of remote DAUs. The system also includes a plurality of central hubs. Each of the plurality of central hubs is in communication with one of the remote DAUs using an electrical communications path. The system further includes a plurality of transmit/receive cells. Each of the plurality of transmit/receive cells includes a plurality of remote hubs. Each of the remote hubs in one of the plurality of transmit/receive cells is in communication with one of the plurality of central hubs using an optical communications path.

Methods, systems, and apparatuses, among other things, may dynamically manage the capacity of a wireless network using unmanned vehicles equipped with small cell capabilities. Moreover, past traffic data may be analyzed using artificial intelligence models to predict a volume for a base station that exceeds a capacity for the base station and one or more unmanned vehicles may be dispatched to the base station to provide capacity relief.

Embodiments of this application disclose a model configuration method and an apparatus. The method includes: sending, to a terminal that is in a first cell, first-part information of a first model used by the terminal to process data, and sending first indication information that indicates second-part information of the first model, where the second-part information is information to be sent to the terminal when the terminal is located in a second cell, and the first cell and the second cell are different cells. Solutions of embodiments of this application may be widely applied to the field of communication technologies, artificial intelligence, the internet of vehicles, the internet of smart home, or the like.

Embodiments of this application disclose a model configuration method and an apparatus. The method includes: sending, to a terminal that is in a first cell, first-part information of a first model used by the terminal to process data, and sending first indication information that indicates second-part information of the first model, where the second-part information is information to be sent to the terminal when the terminal is located in a second cell, and the first cell and the second cell are different cells. Solutions of embodiments of this application may be widely applied to the field of communication technologies, artificial intelligence, the internet of vehicles, the internet of smart home, or the like.

A wireless base station setting position calculation method includes a step Si for assuming the setting area to be a rectangle, receiving an input of longitudinal and lateral lengths of a setting area and the number of wireless base stations to be set “s”, and determining one or more candidates of a number of divisions “d” of the setting area according to the number of wireless base stations “s”, a step S2 for representing the number of divisions “d” in a division ratio x:y and selecting, for each number of divisions “d”, according to the longitudinal and lateral lengths of the setting area, a division ratio at which diagonal line lengths of divided areas are minimized, a step S3 for performing, for each number of divisions “d”, adjustment of a division pattern until a difference m between the number of divisions “d” and the number of wireless base stations “s” decreases to 0, a step S4 for calculating, for each number of divisions “d”, a sum of the diagonal line lengths of the divided areas and selecting the division pattern with which the sum is minimized, and a step S5 for setting the wireless base stations in the centers of gravity of the divided areas in the division pattern selected in step S4.

A wireless base station setting position calculation method includes a step Si for assuming the setting area to be a rectangle, receiving an input of longitudinal and lateral lengths of a setting area and the number of wireless base stations to be set “s”, and determining one or more candidates of a number of divisions “d” of the setting area according to the number of wireless base stations “s”, a step S2 for representing the number of divisions “d” in a division ratio x:y and selecting, for each number of divisions “d”, according to the longitudinal and lateral lengths of the setting area, a division ratio at which diagonal line lengths of divided areas are minimized, a step S3 for performing, for each number of divisions “d”, adjustment of a division pattern until a difference m between the number of divisions “d” and the number of wireless base stations “s” decreases to 0, a step S4 for calculating, for each number of divisions “d”, a sum of the diagonal line lengths of the divided areas and selecting the division pattern with which the sum is minimized, and a step S5 for setting the wireless base stations in the centers of gravity of the divided areas in the division pattern selected in step S4.

An information processing apparatus includes an acquisition unit configured to acquire ultrasonic image data, an inference unit configured to infer a body mark corresponding to the ultrasonic image data acquired by the acquisition unit, and a display control unit configured to display the body mark inferred by the inference unit together with the ultrasonic image data.

A technique is directed to methods and systems of virtual site inspections. In some embodiments, a network operator navigates a drone which captures image data of equipment and layout of a site. The image data is processed and used to generate a 3D model of the site. A network operator virtually installs new equipment in the virtual representation of the site, and presents the 3D model of the site, with the new equipment in the proposed location, to a permitting authority. The permitting authority can review the 3D model of the new equipment at the site and approve or deny authorization for the network operator to physically install the equipment at the site. After the new equipment is installed, a network operator can capture image data of the installed equipment at the site to prove to the permitting authority that the equipment was installed at the site according to regulation.