Techniques are disclosed for a local coil and a magnetic resonance imaging system. The local coil includes a plurality of coil units that respectively receive magnetic resonance signals generated when magnetic resonance detection is performed on a detected object, and a signal processing unit configured to perform processing including signal preprocessing and quadrature modulation on the magnetic resonance signals received by the plurality of coil units to obtain signals to be transmitted. Contactless connectors are also disclosed, each being configured to couple the signals to be transmitted to a contactless connector at the MR system side.

Disclosed are a hydro-mechanical coupling experimental device with CT real-time scanning and a use method thereof. The hydro-mechanical coupling experimental device with the CT real-time scanning includes a CT scanning room and further includes a support frame, a hydro-mechanical coupling mechanism and a jack that are arranged in the CT scanning room. The support frame includes a base, a top plate, a plurality of columns for arranging the top plate and the base at intervals, and a movable plate that is arranged between the top plate and the base and can slide on the plurality of columns. The hydro-mechanical coupling mechanism includes an experimental box, a pressure box arranged inside the experimental box and a compression leg slidingly worn on a top of the experimental box; and the experimental box is arranged on the movable plate, and the jack is arranged on the base.

A method and device for calculating a river surface flow velocity are provided based on a variational principle, which are used to capture and process the images of an objective area, and to obtain the flow velocity field data of the objective area with high precision in a non-contact manner. The method and device include 3 steps: (1) preparation before initial flow measurement; (2) capturing a video of the river by an image acquisition device, converting a motion of a pixel flow field of the fluid in a captured image sequence into solving an energy functional optimization problem, and solving partial differential equations to obtain data of pixel flow field distribution; and (3) obtaining space coordinates of the pixel point in a world coordinate system and calculating the flow velocity according to the data obtained in the step 2 and the transformation relationship determined in the step 1.

A novel tracing apparatus includes an electromagnetic transmitting system, a multi-frequency transmitting antenna, electrodes, and a receiver. The electromagnetic transmitting system is at an upstream point and includes a generator and a transmitter having a capacitor; the transmitting antenna penetrates into a detected aquifer through karst collapse or a drill hole; the electrodes and the receiver are at a downstream point, and include two pairs of electrodes orthogonally distributed and located in a cofferdam formed by downstream water; and the receivers collect electric signals in the electrodes. The apparatus is based on good electrical conductivity of water, and can use electromagnetic signals as a tracer for rapid observation. Compared with traditional tracers, electromagnetic signals propagate fast in water, are stable in property, and free of pollution. This apparatus can be applied to groundwater tracing detection, and problems with the traditional tracers having poor timeliness and being environmentally unfriendly are resolved.

Methods for simulation of hydrocarbon systems having a sharply varying viscosity gradient include receiving, by a computer system, Neutron Magnetic Resonance (NMR) logs for hydrocarbon wells in an oilfield. The computer system identifies viscosity regions of hydrocarbons present within the hydrocarbon wells based on the NMR logs. The computer system determines equation of state (EOS) parameters based on compositional analysis of pressure-volume-temperature (PVT) samples obtained from the hydrocarbon wells. The computer system generates a three-dimensional (3D) model of the oilfield, using as inputs, the viscosity regions, the EOS parameters, and a fluid composition gradient with respect to a depth within each viscosity region. The computer system determines a landing depth from the surface of the Earth for operation of peripheral water injectors based on simulating the 3D viscosity model.

Neural stimulation is provided according to a closed loop algorithm to treat sleep disordered breathing (SOB), including obstructive sleep apnea (OSA). The closed loop algorithm is executed by a system comprising a processor (which can be within the neural stimulator). The closed loop algorithm includes monitoring physiological data (e.g., EMG data) recorded by a sensor implanted adjacent to an anterior lingual muscle; identifying a trigger within the physiological data, wherein the trigger is identified as a biomarker for a condition related to sleep (e.g., inspiration); and applying a rule-based classification (which can learn) to the trigger to determine whether one or more parameters of a stimulation should be altered based on the biomarker.

Disclosed are a multi-line source ground-borehole transient electromagnetic detection method and a multi-line source ground-borehole transient electromagnetic detection device. The method includes following steps: S1, constructing a multi-line source ground-borehole transient electromagnetic forward model; S2, obtaining multi-line source ground-borehole transient electromagnetic responses of an underground target layer by the multi-line source ground-borehole transient electromagnetic forward model; and S3, recognizing the underground target layer according to electromagnetic diffusion characteristics of the multi-line source ground-borehole transient electromagnetic responses. A resolution and a detection capability of the underground target by a ground-borehole transient electromagnetic method is greatly improved by adopting technical schemes.

The magnetic detection system (100) is provided with a magnetic sensor (1) and a waveform pattern classification unit (33c). The waveform pattern classification unit (33c) is configured to classify waveform patterns of magnetic signals acquired by the magnetic sensor (1) based on a waveform pattern distribution (60) generated based on a plurality of fully connected layers (52c) generated by weighting and connecting respective features in waveform patterns for each waveform pattern by machine-learning, and features in the waveform patterns of the magnetic signals.

The present disclosure relates to a signal receiver and a detection system. The signal receiver includes a housing and a handle. The housing includes a body and a protrusion. The body includes a first face and a second face disposed opposite each other. The protrusion is connected to the body and protrudes relative to the first face along a direction away from the second face. The handle is arranged on the first face.

A reverse time migration imaging method for cased-hole based on ultrasonic pitch-catch measurement, including: calculating a theoretical dispersion curve; expanding original Lamb data of two receivers into array waveform data based on phase-shift interpolation; establishing a two-dimensional migration velocity model including density, P-wave velocity and S-wave velocity of a target area; generating and storing a forward propagating ultrasonic wavefield for each time step; reversing a time axis; generating and storing a reversely propagating ultrasonic Lamb wavefield for the two receivers after phase-shift interpolation; calculating envelopes of the forward propagating ultrasonic Lamb wavefield and the reversely propagating ultrasonic Lamb wavefield; applying a zero-lag cross-correlation imaging condition to obtain reverse time migration imaging results; and applying Laplace filtering to suppress low-frequency imaging noises in the imaging results.