Abstract: A device for measuring a microwave surface resistance of a dielectric conductor deposition interface includes: a test platform, a calibration component, a sealing cavity and a support plate; wherein the test platform comprises: a shielding cavity having an open bottom, a dielectric rod, an input coupling structure, an output coupling structure, and a dielectric supporter; the dielectric conductor test sample and the test platform form a TE0m(n+?) mode dielectric resonator; the calibration component and the dielectric conductor test sample are mounted on the test platform to measure corresponding quality factors, thereby calculating the microwave surface resistance of the deposition interface of the dielectric conductor test sample. The present invention requires no pre-measurement of relative permittivity and loss tangent of the dielectric conductor test sample.

Abstract: The present disclosure provides a hetero-integrated terahertz low-noise miniaturized image frequency rejection transceiver front-end, including an intermediate frequency circuit and a terahertz circuit arranged up and down, where the terahertz circuit includes a local oscillator frequency tripler, a 135° 3 dB filter coupler, a radio frequency waveguide power divider, and two quartz hetero-integrated subharmonic mixers; resonant cavities of an input unit, a first output unit, an isolation unit, and a second output unit of the 135° 3 dB filter coupler are sequentially coupled through resonant grooves to form a ring structure, a cavity length of the resonant cavity of the input unit is twice that of the resonant cavities of the other three units, and an electrical length of a waveguide of the first output unit is 45° different from that of a waveguide of the second output unit.

Abstract: A lateral power semiconductor device layout and a device structure belong to the technical field of power semiconductor devices. A method for designing a lateral power semiconductor device layout with high integrity and high cell density has the following advantages of reducing a specific on-resistance of the device, increasing a width of a channel per unit area, improving the current capability of the device, optimizing the static characteristic of the device, reducing the area of a drain region and the parasitic capacitance of the device, reducing the delay time of a cell switch caused by an excessively long gate electrode of a traditional finger cell, optimizing the dynamic characteristic of the device, optimizing the cell edge of the device and the curvature effect of a terminal, and reducing the pre-breakdown risk of the device.

Abstract: The disclosure claims a method of stimulating a conditional quantum master equation in a quantum transport process by a recurrent neural network, comprising the following steps of: establishing a recurrent neural network which is a long short term memory network (LSTM), wherein the LSTM comprises TLSTM cells arranged in chronological order, and each LSTM cell has an input value xt and an output value ht, and there is a parameter (W, b) in the LSTM cell; replacing the input value xt with a shot noise spectrum S(?) of the current obtained according to the conditional quantum master equation; replacing the output value ht with a trace of density matrices in the conditional quantum master equation; and replacing the parameter (W, b) with a connection between density matrices in the conditional quantum master equation at imminent moments.

Abstract: A power semiconductor device, including a cell region, a transition region, and a terminal region. The transition region is located between the cell region and the terminal region of the device. A first conduction type substrate, a first conduction type epitaxial layer located above the first conduction type substrate, and a first conduction type buffer layer located in the first conduction type epitaxial layer are jointly arranged at the bottoms of the cell region, the transition region, and the terminal region of the device. In a high-current application, since the cell region occupies the largest area of a chip, in a case that breakdown can occur in the cell region and the current can be discharged through the cell region. On the basis of ensuring the BV of the terminal region, a silicon layer step is formed by elevating the position of a top structure of the terminal region.

Abstract: Provided herein is a tunnel electromagnetic joint scanning detection method and a system thereof. It introduces a new tunnel electromagnetic detection system called TEJS, realizes three-dimensional joint inversion of multi-component, time domain and frequency domain signals, and forms tunnel joint scanning imaging. This method adopts the mode of surface transmission, underground reception, multi-source transmission and multi-component reception. Based on an observation system, a large number of stochastic models are constructed and numerically simulated, and a large number of training data sets are constructed by using the simulated data to complete the training of UNet model. This model can realize real-time and fast imaging of the position of the low-resistance anomalous body in three-dimensional space. An algorithm forms a dual checking mechanism through surface imaging and underground imaging, which constrains the three-dimensional spatial position of anomalous body together to prevent misjudgment.

Abstract: The present disclosure discloses a three-dimensional inversion method of airborne transient electromagnetics based on deep learning. The method of the present disclosure proposes two strategies that focus on training datasets, to improve the performance of deep learning models, including divide and conquer strategy and random models generating. Through a large of reasonable structural models, appropriate network setups, a more generalized result can be obtained through our proposed U-Net framework, which has been demonstrated to be effective on both synthetic and field data. This scheme can realize the rapid prospecting of three-dimensional resistivity structure in large-area target region, and solve the problem of low efficiency of traditional three-dimensional inversion calculation of ATEM and poor migration ability of three-dimensional inversion based on deep learning developed by predecessors.

Abstract: The present disclosure provides a blockchain sharding method, system, and server based on locally repairable system codes. The blockchain sharding system includes k original shards and n?k encoding shards. In each round of consensus, each original shard and m corresponding encoding shards form a local verification group (m<<n?k), and each encoding shard and t original shards participating in generation of the encoding shard form local recovery groups (t<<k). The local verification group is responsible for verifying whether a to-be-verified transaction is legitimate. When a single shard in the verification group is corrupted, the remaining m shards can reach a consistent verification result. According to the principle that the minority is subordinate to the majority, the verification group can still correctly verify the legitimacy of the transaction.

Abstract: A multi-level gate driver applied to the SiC metal-oxide-semiconductor field-effect transistor (MOSFET) includes three parts: the SiC MOSFET information detection circuit, the signal level shifting circuit, and the segmented driving circuit. The SiC MOSFET information detection circuit includes the SiC MOSFET drain-source voltage detection circuit and the SiC MOSFET drain-source current detection circuit. The segmented driving circuit includes a turn-on segmented driving circuit and a turn-off segmented driving circuit.

Abstract: This invention, falling into the field of radio communication technology, discloses 5G millimeter wave dual-band dual-mode mixer and wireless communication terminal. In the said 5G millimeter wave dual-band dual-mode mixer, the first MOSFET is connected to the source of the second MOSFET and the third MOSFET through its drain, with the first MOSFET connected to the drain of the fourth MOSFET through its drain. The second MOSFET is connected to one end of the first capacitor through its gate, with the other end of the first capacitor connected to the drain of the third MOSFET. The third MOSFET is connected to one end of the second capacitor through its gate and the other end of the second capacitor is connected to the drain of the second MOSFET.

Abstract: Embodiments of the present disclosure provide a quantitative method and system for attention based on a line-of-sight estimation neural network, which improves the stability and training efficiency of the line-of-sight estimation neural network. A few-sample learning method is applied to training of the line-of-sight estimation neural network, which improves generalization performance of the line-of-sight estimation neural network. A nonlinear division method for small intervals of angles of the line of sight is provided, which reduces an estimation error of the line-of-sight estimation neural network. Eye opening and closing detection is added to avoid the line-of-sight estimation error caused by an eye closing state. A method for solving a landing point of the line of sight is provided, which has high environmental adaptability and can be quickly used in actual deployment.

Abstract: An endoscopic image segmentation method based on a single image and a deep learning network achieves real-time and accurate segmentation for a single case, and provides support for making a treatment plan based on an endoscopic image in clinical medicine. The endoscopic image segmentation method first proposes a single image-based training set generation method to automatically generate a training set, and further proposes a lightweight deep learning network EUnet to perform feature fitting on the generated training set, to achieve endoscopic image segmentation and obtain a segmentation result of a lesion region. The endoscopic image segmentation method can significantly improve segmentation accuracy and has advantages of a small volume, high real-time performance, and easy operation.

Abstract: A lateral power semiconductor device is provided and includes a second doping type substrate, a first doping type buried layer, a second doping type epitaxial layer, a first doping type drift area, a second doping type first body area, a first doping type drain area, a first doping type source area, a second doping type second body area, a dielectric layer, a control gate, a body electrode, second doping type polysilicon and first doping type polysilicon. The control gate is led out and connected to different potentials; when the device is in an off state, the control gate is connected to a low potential to assist the drift area in depletion; and when the device is in an on state, the control gate is connected to a high potential, and more carriers are induced on a silicon surface below the control gate.

Abstract: A terahertz full-duplex co-local oscillator solid-state front-end transmitting circuit is disclosed, which belongs to the technical field of terahertz communication. The overall structure of the solid-state front-end transmitting circuit adopts a new system, wherein the circuit comprises two branches that are parallel and driven by a local oscillator source. A branched waveguide directional coupler is configured to output two driving signals provided by the same local oscillator source respectively to two branch circuits with required powers. Two transmission signals generated from the two branches are combined into one signal for transmission through an orthogonal mode coupled duplexer, so as to fulfill the construction of a full-duplex co-local oscillator solid-state front-end transmission circuit.

Abstract: The disclosure relates to mixed analog-digital circuits, and more specifically a low-noise millimeter-wave fractional-N frequency synthesizer. It overcomes quantization noise and fractional spurs caused by the limited dynamic range and nonlinearity of time error amplifiers (TA) in traditional phase-locked loop structures based on TA. In addition to the traditional structure, the synthesizer includes a coarse digital-to-time converter (CDTC), a fine digital-to-time converter (FDTC), and DTC non-linearity calibration circuits. By inserting the CDTC and FDTC before and after the TA, respectively, the variance of the input phase difference of the TA can be reduced, thereby improving the TA linearity and suppressing the quantization noise and spur generated by fractional-N operation. Furthermore, by using non-linearity calibration, the non-linearity of DTC and TA can be compensated to avoid large quantization noise and spur while the second order quantization noise reshaping is maintained.

Abstract: The present invention belongs to the technical field of 5G millimeter wave communication and discloses a 5G dual-band up-mixer with switching between amplification function and frequency mixing function, and terminal. The first double-balanced active mixer and the second double-balanced active mixer are connected in series, and both ends of the first double-balanced active mixer are connected with a first transformer and a second transformer respectively; both ends of the second double-balanced active mixer are respectively connected with the second transformer and the third transformer; the first double-balanced active mixer is provided with a first MOSFET and a fourth transformer connected with the first MOSFET; the second double-balanced active mixer is provided with a second MOSFET and a fifth transformer connected with the second MOSFET.

Abstract: Disclosed are a method, an apparatus, and a device for predicting adverse drug-drug interactions, and a readable storage medium, and relates to the technical field of pharmaceutical research and development. An objective of the present application is to provide the method, apparatus, and device for predicting adverse drug-drug interactions, and the readable storage medium for solving the above problems. To achieve the above objective, a technical solution adopted by the present application is as follows: acquiring first information; constructing an adverse drug-drug interaction prediction model according to the first information; acquiring second information, where the second information is molecular structure information of two drugs to be predicted; and outputting predicted adverse drug-drug interactions with the second information as an input into the adverse drug-drug interaction prediction model.

Abstract: A measurement and reconstruction method for a turbine blade strain field of with integrates an imaging technology and an infrared photoelectric measurement technology. The imaging technology is mainly responsible for the measurement of the strain field on a target blade surface, so as to use a digital image processing technology to obtain blade strain field data. The infrared photoelectric measurement technology is mainly aimed at the strain at blade edges, which uses temperature difference between the blade edges and blade gaps to perform strain measurement. Measurement results of the two modes are finally converted into blade strain parameters, thereby reconstructing the target blade strain field based on host computer software.

Abstract: Provided is an analysis method for determining gas-bearing situation of an unknown shale reservoir, includes: S1, selecting a shale reservoir of a target interval of a place; and collecting data of parameters of cores of each of a known gas-bearing shale reservoir A and a known water-bearing shale reservoir B; S2, calculating average values of the parameters of each of the reservoirs A and B respectively; S3, calculating average differences of the parameters of each of the reservoirs; S4, calculating covariance values of the parameters of each of the reservoirs; S5, establishing, according to the covariance values, an equation group and resolving discriminant coefficients; S6, establishing a discriminant equation according to the discriminant coefficients and solving a discriminant index; and S7, obtaining values of parameters of cores of a sample of the unknown shale reservoir, calculating a discriminant value, and determining gas-bearing situation of the unknown shale reservoir.

Abstract: A system for real-time target identification of an unmanned aerial vehicle (UAV) based on an embedded technique and an improved YOLO4 algorithm, and relates to the field of real-time target detection is disclosed. The system for real-time target identification of a UAV based on an embedded technique and an improved YOLO4 algorithm abandons a conventional “one-to-one” mode, and can be used for a plurality of UAV data processing applications, and multiple users in different geographical locations can further remotely manage and control the system. Particularly, in a target identification client of the present disclosure, to obtain a better real-time identification effect, a YOLOv4 target identification algorithm is improved, so that a better identification result and a faster identification speed are obtained.