Abstract: This disclosure describes a system and method for generating images and location data of a subsurface object using existing infrastructure as a source. Many infrastructure objects (e.g., pipes, cables, conduits, wells, foundation structures) are constructed of rigid materials and have a known shape and location. Additionally these infrastructure objects can have exposed portions that are above or near the surface and readily accessible. A signal generator can be affixed to the exposed portion of the infrastructure object, which induces acoustic energy, or vibrations in the object. The object with affixed signal generator can then be used as a source in performing a subsurface imaging of subsurface objects, which are not exposed.

Abstract: An information processing apparatus includes a processor configured to acquire biological information of plural users determined to be within a predetermined area and operate an apparatus based on the biological information of the plural users.

Abstract: During operation of a reflection target x-ray source, heat must be removed from many components. The electron beam must be steered to the target and may interact with structures along this path. There is also heat generated in the target itself. This can be excessive, since only a very small percentage of the electron beam's energy is transformed into x-rays. Finally, the x-rays must exit the vacuum through the window, which can also be heated both by the x-rays, reflected electrons, and radiant heat from the target. A water cooled reflective x-ray source provides for water or other fluid cooling of the centering aperture, x-ray target, and/or exit window.

Abstract: An information processing system includes a measurement unit, an output unit, and a reception unit. The measurement unit measures brain waves of a user. The output unit outputs a sound to the user. The reception unit receives a command to correct the sound in a case where the sound is output while the brain waves are being measured.

Abstract: The present invention provides methods for cryopreserving a population of cells with improved cell viability. In some aspects, the method comprises contacting a population of cells with a peptoid polymer comprising one or more polar peptoid monomers, e.g., formulated in a cryoprotectant solution, and cooling the population of cells at a temperature of from 0° C. to about ?20° C. for a time period of at least about 3 hours to produce a population of supercooled cells. The supercooling methods of the present invention provide excellent post-thaw cell survival and recovery. In certain embodiments, the population of cells is present in a tissue or an organ that is cryopreserved by performing the supercooling methods of the present invention.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for using machine learning models for plant biotechnology. One of the methods includes obtaining a network input comprising an image depicting a plurality of plant cells or regions of plant tissue; processing the network input using a machine learning model to obtain an identification of one or more particular biotechnologically-modifiable plant cells or one or more particular biotechnologically-modifiable regions of the plant tissue; excising or delineating the one or more identified plant cells or the one or more identified regions of the plant tissue; and delivering exogenous material to the excised or delineated plant cells or regions of plant tissue.

Abstract: Apparatuses, systems, and methods of apportioning an aggregate maneuver are disclosed. An aggregation engine receives aggregation opportunity information requesting an aggregate change in power of one or more sites. The aggregation engine transmits participation opportunity information to a plurality of site controllers. The participation opportunity information indicates a site benefit for providing a site change in power. The aggregation engine receives commitment information from the plurality of site controllers, the commitment information indicating levels of commitment of the plurality of site controllers to contribute site change in power to a target change in power of the aggregation opportunity. The aggregation engine further transmits updated participation opportunity information including an adjusted proposed site benefit or adjusted proposed site change in power until an aggregate change in power of the one or more sites is within a threshold level of the target change in power.

Abstract: An Isolating Transmission Line Transformer (ITLT) for use in a data communications system is provided, the transformer comprising: a substantially planar substrate formed of electrically insulative material having opposed first and second surfaces; a first port formed of two separate terminals provided at one part of the substrate; a second port formed of two separate terminals provided at a second part of the substrate; a first conductor connected in series to the first port and arranged as a single loop; a second conductor which is electrically isolated from the first conductor and connected in series to the second port, the second conductor being arranged as a single loop in a substantially opposite orientation to the first conductor; wherein the first and second ports and at least part of the first and second conductors are provided on the substrate surface (s); and a core arranged between the first and second ports to cover the majority of the first and second conductors.

Abstract: Certain types of fish respond differently to certain stimuli than other types of fish. Particularly, predetermined sound or vibration can cause certain types of fish to move away or jump. These reactions by particular types of fish can be used to capture the fish or prevent them from accessing parts of water systems. An exemplary capture mechanism employs multiple receptacles adapted to catch jumping fish from the air. An exemplary barrier of directed sound can prevent fish migration.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for estimating wave properties of a body of water. A computer-implemented system obtains measurement data for a duration of time from an inertial measurement unit (IMU) onboard an underwater device, generates model input data based on at least the measurement data obtained at the plurality of time points, and processes the model input data to generate model output data indicating one or more wave properties using a machine-learning model. The system further determines, based on at least the one or more wave properties, whether the device is safe to be deployed.

Abstract: A flying robot (10) with projector, including a movable end (100) and a fixed end (200). A distributed working mode is used on the movable end (100) and the fixed end (200). The movable end (100) includes a top (110), a main body (120) and a bottom (130). The top (110) includes a lift system (112) and one or more proximity sensors (114); the main body (120) is a sealed hollow spherical body or spheroid body made of a film material capable of being used as a rear projection screen, and is filled with a gas of which the density is less than that of the air. The bottom (130) includes one or more rear projectors (131), a wireless communication module (132), a microcontroller (133), a battery (134), a direction and steering controlling device (135), a camera device (136), a sound capturing and reproduction device (137), a height sensor (138) and other sensors, etc. The fixed end (200) includes a wireless communication module (220), a control apparatus (240), a charging port (260), and other data interfaces, etc.

Abstract: An information processing apparatus includes a processor configured to receive biopotential information of each of a plurality of users, and transmit, to a device, operation information indicating operation content determined by comparing the operation contents of the device, the operation contents being recognized from the biopotential information of the plurality of users.

Abstract: A flying robot (10) with projector, including a movable end (100) and a fixed end (200). A distributed working mode is used on the movable end (100) and the fixed end (200). The movable end (100) includes a top (110), a main body (120) and a bottom (130). The top (110) includes a lift system (112) and one or more proximity sensors (114); the main body (120) is a sealed hollow spherical body or spheroid body made of a film material capable of being used as a rear projection screen, and is filled with a gas of which the density is less than that of the air. The bottom (130) includes one or more rear projectors (131), a wireless communication module (132), a microcontroller (133), a battery (134), a direction and steering controlling device (135), a camera device (136), a sound capturing and reproduction device (137), a height sensor (138) and other sensors, etc. The fixed end (200) includes a wireless communication module (220), a control apparatus (240), a charging port (260), and other data interfaces, etc.

Abstract: Methods, systems, and apparatuses, including computer programs encoded on a computer-readable storage medium for estimating the shape, size, mass, and health of fish are described. A pair of stereo cameras may be utilized to obtain off-axis images of fish in a defined area. The images may be processed, enhanced, and combined. Object detection may be used to detect and track a fish in images. A pose estimator may be used to determine key points and features of the detected fish. Based on the key points, a model of the fish is generated that provides an estimate of the size and shape of the fish. A regression model or neural network model can be applied to the fish model to determine characteristics of the fish.

Abstract: A set of conditions is defined that to be simulated via execution of a machine-learning model. For each condition, a set of learnable condition-specific parameters is identified to configure a model architecture. A first learnable condition-specific parameter associated with a first condition of the set of conditions can be identified a shared or global parameter that is to have a same value as at least another learnable condition-specific parameter (associated with another condition). One or more parameter data structures can be configured with parameter values for the sets of condition-specific parameters for the sets of conditions, where the configuration imposes a constraint that a value for the first condition-specific parameter and the at least one value for the at least one other condition-specific parameter are the same. The machine-learning model can be trained using the configured parameter data structure(s).

Abstract: A cascaded impulse convolution shaping method for a nuclear signal includes: obtaining a detector signal by using a detector; convolving the detector signal with a Gaussian signal by using a multistage cascaded shaping system; and performing double-exponential impulse shaping, and generating, by using the multistage cascaded shaping system, a Gaussian-shaped impulse signal with a narrow pulse width for analysis. Based on the characteristic that a multistage cascaded convolution of a complex system can exchange a convolution sequence, the detector signal can first pass through a cascaded inverse system to form an impulse signal, and then the impulse signal is convolved with the Gaussian signal to generate a cascaded impulse convolution signal. This method can be extended to a three-exponential or four-exponential signal for Gaussian, trapezoidal, cyclotron up-scattering process (CUSP), cosine-squared distribution, and Cauchy distribution shaping.

Abstract: An intelligent tracking system generally includes one or more tracking devices, some of which may be passive tracking devices. Each passive tracking device includes one or more transceivers and is energized by an energizing signal. Some of these passive tracking devices may operate in a first communication mode or a second communication mode based on the energizing signal. Some tracking devices may include encryption modules or authentication modules. Some of these devices may incorporate a bulk acoustic wave oscillator.

Abstract: A refrigeration plant including: a first enclosure containing water in the liquid state at a temperature lower than or equal to the temperature of the triple point of water or higher than the temperature of the triple point of water by less than 10° C., and water in the gaseous state at a first pressure equal to the saturated vapor pressure of the water in equilibrium with the pressure of the water in the liquid state; a second enclosure at a second pressure strictly higher than the first pressure by a factor of at least two; a compression device connecting the first enclosure to the second enclosure; a condensing device adapted to condense the water in the gaseous state in the second enclosure into water in the liquid state; and a cold power extraction device for extracting cold power in the first enclosure.

Abstract: A hyperspectral imaging spectrophotometer and system, with calibration, data collection, and image processing methods designed to match human visual perception and color matching of complex colored objects.

Abstract: A method of calibrating a collimating lens system includes transmitting, using an optical transmitter, a beam out of an optical fiber and through a collimating lens of the collimating lens system. The beam is reflected off a perfect flat mirror positioned at an output of the collimating lens and back towards the collimating lens, and received, via the collimating lens, at a power meter connected to the optical fiber. The method also includes adjusting a position of a tip of the optical fiber proximal to the collimating lens while tracking a power reading using the power meter, selecting a calibration position of the optical fiber corresponding to a highest power reading, and securing the optical fiber relative to the collimating lens using the calibration position.