Abstract: A water quality detection system including a light source, a spectrometer, and a data processor is disclosed, and relates to the technical field of detection systems. The light source emits excitation light pulse trains of different wavelengths to a to-be-detected water sample contained in a sample cell, where the excitation light pulse trains of different wavelengths may be emitted in a time-division manner, to excite the to-be-detected water sample, thereby generating fluorescence separately corresponding to the excitation light pulse trains of different wavelengths. The spectrometer receives the fluorescence and output a fluorescence spectrum based on the fluorescence.

Abstract: An intelligent collaborative operation control strategy for an electro-hydraulic suspension system of a high-horsepower tractor is provided, including: S1, establishing an operation task database; S2, collecting information of the electro-hydraulic suspension system during an operation of the high-horsepower tractor in real time as real-time data; S3, preprocessing the real-time data; S4, analyzing a dataset and generating a preliminary control strategy for the electro-hydraulic suspension system based on parameters in the operation task database; S5, performing data interaction and collaborative control with operation units; S6, identifying deviations between operation status data and expected control parameters; S7, dynamically adjusting the preliminary control strategy.

Abstract: In order to calculate, with a high degree of accuracy, step lengths for both feet on the basis of a physical quantity relating to the movement of one foot, this calculation device includes: a detection unit that generates a walking waveform using sensor data and detects a walking event from the generated walking waveform, the sensor data being based on a physical quantity that is measured by a sensor positioned on one foot of a walker and relates to the movement of the foot; and a step length calculation unit that calculates the step lengths for both left and right feet on the basis of the timing of the detected walking event.

Abstract: A machine learning device that trains a first encoding model for encoding first sensor data into first code, a second encoding model for encoding second sensor data into second code, and an estimation model for making estimation using the first code and the second code such that an estimation result from the estimation model conforms to correct answer data, trains a first adversarial estimation model that outputs an estimated value of the second code in response to the input of the first code such that the estimated value of the second code estimated by the first adversarial estimation model conforms to the second code outputted from the second encoding model, and trains the first encoding model such that the estimated value of the second code estimated by the first adversarial estimation model does not conform to the second code outputted from the second encoding model.

Abstract: A machine learning device that trains a first encoding model for encoding first sensor data into first code, a second encoding model for encoding second sensor data into second code, and an estimation model for making estimation using the first code and the second code such that an estimation result from the estimation model conforms to correct answer data, trains a first adversarial estimation model that outputs an estimated value of the second code in response to the input of the first code such that the estimated value of the second code estimated by the first adversarial estimation model conforms to the second code outputted from the second encoding model, and trains the first encoding model such that the estimated value of the second code estimated by the first adversarial estimation model does not conform to the second code outputted from the second encoding model.

Abstract: A machine learning device that trains a first encoding model for encoding first sensor data into first code, a second encoding model for encoding second sensor data into second code, and an estimation model for making estimation using the first code and the second code such that an estimation result from the estimation model conforms to correct answer data, trains a first adversarial estimation model that outputs an estimated value of the second code in response to the input of the first code such that the estimated value of the second code estimated by the first adversarial estimation model conforms to the second code outputted from the second encoding model, and trains the first encoding model such that the estimated value of the second code estimated by the first adversarial estimation model does not conform to the second code outputted from the second encoding model.

Abstract: An example spectrum measurement apparatus includes: a plurality of first light emitter units, where each first light emitter unit is adapted to emit light having a first emission spectrum in a first band range, first emission spectrums emitted by any two first light emitter units are not correlated, and the plurality of first light emitter units can be operated to emit light having corresponding first emission spectrums to a to-be-measured object in a time-division manner; a first single-point photodetector, adapted to separately detect light intensity of light that is emitted by each first light emitter unit and that is reflected by the to-be-measured object; and a calculation apparatus, adapted to determine a first reflectivity spectrum of the to-be-measured object in the first band range based on the plurality of first emission spectrums and the detected corresponding light intensity.

Abstract: An estimation device including a feature amount extraction unit that extracts, from a gait waveform extracted from time series data of sensor data based on a motion of a foot of a user, a feature amount according to an attribute of the user in a section in which a feature of a physical condition according to the attribute of the user appears; and estimates the physical condition of the user using the feature amount extracted according to the attribute of the user.

Abstract: A measurement device that includes a detection unit that detects a gait event from time-series data of sensor data related to motion of a foot, and a measurement unit that performs a measurement of lower limbs by using the sensor data for a prescribed period with a timing of the gait event as a start point, based on a geometric model on which a constraint condition related to motion of the lower limbs is imposed.

Abstract: An estimation device including a feature amount extraction unit that extracts, from a gait waveform extracted from time series data of sensor data based on a motion of a foot of a user, a feature amount according to an attribute of the user in a section in which a feature of a physical condition according to the attribute of the user appears; and estimates the physical condition of the user using the feature amount extracted according to the attribute of the user.

Abstract: A measurement device that includes a detection unit that detects a gait event from time-series data of sensor data related to motion of a foot, and a measurement unit that performs a measurement of lower limbs by using the sensor data for a prescribed period with a timing of the gait event as a start point, based on a geometric model on which a constraint condition related to motion of the lower limbs is imposed.

Abstract: An intelligent collaborative operation control strategy for an electro-hydraulic suspension system of a high-horsepower tractor is provided, including: S1, establishing an operation task database; S2, collecting information of the electro-hydraulic suspension system during an operation of the high-horsepower tractor in real time as real-time data; S3, preprocessing the real-time data; S4, analyzing a dataset and generating a preliminary control strategy for the electro-hydraulic suspension system based on parameters in the operation task database; S5, performing data interaction and collaborative control with operation units; S6, identifying deviations between operation status data and expected control parameters; S7, dynamically adjusting the preliminary control strategy.

Abstract: A laser radar, which may be applied to autonomous driving and internet of vehicles, includes: a laser: emit N laser beams, and transmit the beams to N first beam splitting modules; first beam splitting module: split the received laser beam into a first laser beam and a second laser beam; an included angle adjustment module: receive N second laser beams, adjust an included angle between any two adjacent second laser beams in the N second laser beams to be greater than 0 degrees and not greater than an angular resolution; a scanning module: receive the N second laser beams, respectively emit the N second laser beams to a detection area at different detection angles; a detection module: receive the first laser beam and a corresponding echo signal, perform frequency mixing to obtain a beat frequency signal, determine association information of a target object based on the beat frequency signal.

Abstract: Provided is an identification device for identifying an individual on the basis of gait irrespective of the type of footwear, the identification device comprising a detection unit that detects a walking event on the basis of a walking waveform of a user, a waveform processing unit that normalizes the walking waveform on the basis of the detected walking event and generates a normalized waveform, and an identification unit that identifies the user on the basis of the normalized waveform.

Abstract: An interpolation device includes a gait information processing unit that generates a gait waveform for each gait cycle by using time-series data of sensor data regarding a movement of a foot and specifies a missing section of data in the time-series data, a missing information processing unit that calculates a gait phase of the specified missing section, and an interpolation unit that generates interpolation data for interpolating the missing section by using data of the gait phase of the missing section in a gait waveform with a gait cycle different from a gait cycle including the missing section, and interpolates the generated interpolation data to the missing section.

Abstract: The present disclosure provides a gantry for an X-ray system. The gantry may include a base section, a lifting section, and a swing section. The base section may be configured to move. A first end of the lifting section may be connected to the base section. A first end of the swing section may be rotatably connected to a second end of the lifting section. A radiation assembly may be disposed on a second end of the swing section.

Abstract: A detection device that includes an acquisition unit that acquires data including a dorsiflexion peak time, a plantarflexion peak time, and travel direction acceleration acquired from sensor data regarding a movement of a foot, a candidate detection unit that detects, as a candidate time for heel strike, a time of a feature signal point extracted from time-series data of the travel direction acceleration in an investigation time period starting from an acceleration peak time detected from the travel direction acceleration based on the dorsiflexion peak time, and an output unit that outputs the detected candidate time as a heel strike time.

Abstract: A machine learning device that trains a first encoding model for encoding first sensor data into first code, a second encoding model for encoding second sensor data into second code, and an estimation model for making estimation using the first code and the second code such that an estimation result from the estimation model conforms to correct answer data, trains a first adversarial estimation model that outputs an estimated value of the second code in response to the input of the first code such that the estimated value of the second code estimated by the first adversarial estimation model conforms to the second code outputted from the second encoding model, and trains the first encoding model such that the estimated value of the second code estimated by the first adversarial estimation model does not conform to the second code outputted from the second encoding model.

Abstract: Provided is an evaluation device that includes an acquisition unit that acquires position data pertaining to a plurality of measurement target sites established in an evaluation target segment of a body, a calculation unit that fits a circle to the plurality of measurement target sites and calculates a value of a diameter of the fitted circle, an evaluation unit that evaluates flexibility of the evaluation target segment according to the calculated value of the diameter of the circle, and an output unit that outputs an evaluation result relating to the flexibility of the evaluation target segment.

Abstract: Provided is a static balance estimation device that includes a data acquisition unit that acquires feature amount data that include a feature amount to be used for estimating static balance of a user, the feature amount being extracted from a feature of a gait of the user, a storage unit that stores an estimation model that outputs a static balance index related to input of the feature amount data, an estimation unit that inputs the acquired feature amount data into the estimation model and estimates the static balance of the user according to the static balance index output by the estimation model, and an output unit that outputs information related to the estimated static balance of the user.