Chinese Academy of Sciences

Wuhan University

China Electric Power Research Institute

Innovation Academy for Precision Measurement Science and Technology, Cas

Wuhan United Imaging Life Science Instrument Co., Ltd.

Li Chen

Fang Chen

Chaoyang Liu

Junfei Chen

Zhen Zhang

Jiwen Feng

Xi Zhang

Tao Feng

Zhekai Zhang

Jinchao Jia

Yunhan Lin

Sheng Shen

Yaojie Chen

Baoshan Wang

Hai-liang Ke

Zhongqiu Zuo

Lin Tang

Haonan Liu

Ying Chang

Yi Xiong

Cheng-yuan Peng

Hailiang Ke

Chengyuan Peng

An adaptive tracking system and tracking method for a water surface target are provided. The tracking system includes an information acquisition module, a mode selection module for controlling a tracker to enter a tracking mode or a prediction waiting mode, a tracking module for controlling the tracker to track the water surface target, a prediction module for generating a predicted position of the water surface target, and a wake-up module for waking up the tracking module when the water surface target appears at the predicted position. The mode selection unit is introduced, which controls the tracker to enter the prediction waiting mode when the water surface target is occluded or greatly affected by an adverse environmental factor. The design avoids the tracker moving away from the water surface target in a wrong direction, thereby avoiding adverse effects on subsequent tracking of the water surface target.

Adaptive tracking system and tracking method for water surface target

The application discloses a method, apparatus and system for scanning an animal. The method includes obtaining a species of an animal to be scanned, identifying a type of an animal cabin where the animal to be scanned is located, and determining whether the species of the animal to be scanned matches the type of the animal cabin, determining and presenting a corresponding scanning protocol that matches the species of the animal to be scanned if the species of the animal to be scanned matches the type of the animal cabin, and perform a scan according to the corresponding scanning protocol, or according to a user-defined scanning protocol.

Method and system for scanning animal and computer device

A method for separating oil-water two-phase NMR signals by using dynamic nuclear polarization comprising: using a combination of a non-selective free radical and a selective relaxation reagent to selectively enhance an NMR signal of an oil phase or a water phase, the relaxation reagent being capable of selectively suppressing dynamic polarization enhancement of the water phase or oil phase, thus achieving the polarization enhancement of a single fluid phase in the mixed fluid phases and realizing separation of the two-phase signals; or using a selective free radical to selectively enhance the NMR signal of the oil phase or the water phase, thus achieving the polarization enhancement of a single fluid phase in the mixed fluid phases and realizing separation of the oil-water two-phase NMR signals. The method is simple and easy to operate, has a short test time, and can efficiently separate NMR signals of oil and water phases.

Method for separating oil-water two-phase NMR signals by using dynamic nuclear polarization

A method for measuring oil-water distribution using DNP-MRI, comprising adding a free radical for DNP enhanced NMR signal of a water phase or an oil phase in a sample containing oil and water; performing an MRI experiment on the sample, and collecting an MRI image of the sample without DNP enhancement; applying microwave excitation for DNP-MRI experiment under the same MRI experiment condition as step 2, and collecting an MRI image of the sample after DNP enhancement; and comparing the MRI image after DNP enhancement with the MRI image without DNP enhancement. In the MRI image with DNP enhancement, an area with enhanced MRI signal intensity is a selectively enhanced fluid phase distribution area, and an area without obviously changed MRI signal intensity is a non-selectively enhanced fluid phase distribution area. The method is simple, convenient to operate, short in measurement time, and high in measurement efficiency.

Method for measuring oil-water distribution using dynamic nuclear polarization for magnetic resonance imaging (DNP-MRI)

An NMR relaxation time inversion method based on an unsupervised neural network includes simulating inversion kernel matrix, simulating continuous NMR relaxation time spectrum, simulating noise, calculating NMR relaxation signals as samples, various samples forming a sample set, constructing an unsupervised neural network model, and defining a loss function of the unsupervised neural network model; and taking the samples in the training sample set as an input of the unsupervised neural network model, to obtain an optimal mapping relationship between the NMR relaxation signals and the NMR relaxation time spectrum with a minimum loss function. The present invention provides the possibility of using experimental data as the sample for training since the trading sample does not need to be labeled, can automatically learn the optimal regularization parameters without depending on the initial value and manual experience, and predicts fast.

NMR relaxation time inversion method based on unsupervised neural network

A current sensor for measuring the inhomogeneity of potential distribution of an arrester having a metal casing, a protection circuit of sampling resistor, a signal conditioning circuit, a signal acquisition circuit, an electro-optical conversion circuit, and a battery module. The signal acquisition circuit includes MSP430F149 micro controller unit having an A/D converter and a serial port. The current sensor is an active sensor, works in a high floating potential, and has a good real time response, high accuracy, low power consumption, good electromagnetic compatibility, and strong anti-interference capability even under harsh electromagnetic conditions.

Current sensor for measuring inhomogeneity of potential distribution of arrester

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Wuhan, China

Li Chen