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公开(公告)号：US20220385323A1
公开(公告)日：2022-12-01
申请号：US17645318
申请日：2021-12-21
Inventor： Xiaoning LI , Wei ZHOU , Zidong ZHANG , Xin FANG , Shijun SHEN , Dawei GONG , Dejie LI
Abstract: A wireless single-phase AC-to-AC conversion circuit based on a 2.4G microwave includes a receiving antenna unit, a RF switch unit, a positive voltage rectification unit, a negative voltage rectification unit and an AC synthesis unit. An output port of the receiving antenna unit is connected to the common input port of the RF switch unit. A first microwave output end of the RF switch unit and a second microwave output end of the RF switch unit are correspondingly connected to a microwave input end of the positive voltage rectification unit and a microwave input end of the negative voltage rectification unit, respectively. ADC output end of the positive voltage rectification unit and a DC output end of the negative voltage rectification unit are correspondingly connected to a positive voltage input port of the AC synthesis unit and a negative voltage input port of the AC synthesis unit, respectively.
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32.发明申请公开(公告)号：US20220351043A1
公开(公告)日：2022-11-03
申请号：US17448934
申请日：2021-09-27
Applicant: Chongqing University , University of Electronic Science and Technology of China , Dibi (Chongqing) Intelligent Technology Research Institute Co., Ltd. , Star Institute of Intelligent Systems
Inventor： Yongduan Song , Feng Yang , Rui Li , Shengtao Pan , Siyu Li , Yiwen Zhang , Jian Zhang , Zhengtao Yu , Shichun Wang
Abstract: The present disclosure discloses an adaptive high-precision compression method and system based on a convolutional neural network model, and belongs to the fields of artificial intelligence, computer vision, and image processing. According to the method of the present disclosure, coarse-grained pruning is performed on a neural network model by using a differential evolution algorithm first, and the coarse-grained space is quickly searched through an entropy importance criterion and an objective function with good guidance to obtain a near-optimal neural network structure. Then fine-grained search space is built on the basis of an optimal individual obtained from the coarse-grained search, and fine-grained pruning is performed on the neural network model by a differential evolution algorithm to obtain a network model with an optimal structure. Finally, the performance of the optimal model is restored by using a multi-teacher multi-step knowledge distillation network to reach the precision of an original model.
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33.发明申请公开(公告)号：US20220148301A1
公开(公告)日：2022-05-12
申请号：US17606751
申请日：2020-09-29
Applicant: West China Hospital of Sichuan University , University of Electronic science and Technology of China
Inventor： Na Hu , Su Lv , Shi Gu , Tianwei Zhang
Abstract: This invention discloses an auxiliary diagnostic model and an image processing method for detecting acute ischemic stroke. This refers to the technical field of medical image processing. The technical essentials are described as follow: the presented deep-learning model is based on generative adversarial networks (GANs), comprising a generator (G) and a discriminator (D). G is the first three-dimensional convolutional neural network, used to synthesize realistic images from raw data, while D is the second three-dimensional convolutional neural network, used to classify images as real or fake (synthetic). The presented GAN model can learn the mapping relationship from non-enhanced computed tomography (NECT) images to T2-weighted fluid-attenuation inversion recovery (FLAIR) magnetic resonance imaging (MRI), then converting the raw CT to synthetic FLAIR with high sensitivity. This improves the efficiency of emergency scanning in acute ischemic stroke, reaching sensitivity that is poor in CT interpretation and immediacy that is limited in MRI examination.
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公开(公告)号：US20220102542A1
公开(公告)日：2022-03-31
申请号：US17264521
申请日：2019-12-20
Inventor： Yuehang XU , Yan WANG , Yunqiu WU
IPC: H01L29/778 , H01L23/14 , H01L29/66 , H01L29/20
Abstract: The present disclosure provides a flexible microwave power transistor and a preparation method thereof. In view of great lattice mismatch and poor performance of a device prepared with a Si substrate in an existing preparation method, the preparation method of the present disclosure grows a gallium nitride high electron mobility transistor (GaN HEMT) layer on a rigid silicon carbide (SiC) substrate to avoid lattice mismatch between a silicon (Si) substrate and gallium nitride (GaN), improving performance of the flexible microwave power transistor. Moreover, in view of problems such as low output power, power added efficiency and power gain with the existing device preparation method, the present disclosure retains part of the rigid SiC substrate and grows a flexible substrates at room temperature to prepare a high-quality device. The present disclosure has greatly improved power output capability, efficiency and gain, and basically unchanged performance of device under 0.75% of stress.
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公开(公告)号：US20220099496A1
公开(公告)日：2022-03-31
申请号：US17387527
申请日：2021-07-28
Inventor： Chao Wang , Jing Jiang , Yi Niu , Anmei Qiu , Zezhan Zhang , Peifeng Yu , Guiyun Tian , Shan Gao
Abstract: A four-shaft panoramic scanning temperature measuring device with a circulating water-cooling device is provided, which not only improves the working reliability of the probe, but also increases the overall flexibility and scanning measurement efficiency. The circulating water-cooling device is self-cooled. Compared with the conventional single-circulation water-cooling way, the design of five cooling cavities can achieve higher circulating water-cooling efficiency. The four-shaft structure includes a shaft structure for translation, a shaft structure for rotation, a shaft structure for swinging, and a shaft structure with coaxial sight pipe and light pipe. The design of the four-shaft structure is able to panoramically scan the high-temperature components inside the turbine. The temperature measuring device integrates functions of cooling, swinging, translating and rotating together, which solves problems of large size and complex control of the conventional temperature measuring device.
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Patent Agency Ranking
公开(公告)号：US20220058789A1
公开(公告)日：2022-02-24
申请号：US17409733
申请日：2021-08-23
Inventor： Yun ZHOU , Wuyi WANG , Longcheng QUE , Jian LV
Abstract: The present disclosure provides a method for processing an infrared image of a power device based on a measured temperature. The method includes: S1: acquiring grey data images of a power device at different environmental temperatures with an infrared thermal imager; and S2: constructing, according to the grey data images of the power device acquired at the different environmental temperatures with the infrared thermal imager in step S1, a machine learning (ML) temperature conversion model, and converting the grey data images at the different environmental temperatures into temperature data with the model. The method for processing an infrared image of a power device based on a measured temperature provided by the present disclosure greatly improves the practicability of the infrared image in the power device, and achieves a better processing effect than the conventional grey data imaging method.
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公开(公告)号：US11227949B2
公开(公告)日：2022-01-18
申请号：US16877516
申请日：2020-05-19
Inventor： Ming Qiao , Longfei Liang , Yilei Lyu , Zhao Qi , Bo Zhang
Abstract: A low specific on-resistance (Ron,sp) power semiconductor device includes a power device and a transient voltage suppressor (TVS); wherein the power device comprises a gate electrode, a drain electrode, a bulk electrode, a source electrode and a parasitic body diode, the bulk electrode and the source electrode are shorted, the TVS comprises an anode electrode and a cathode electrode, the drain electrode of the power device and the anode electrode of the TVS are connected by a first metal to form a high-voltage terminal electrode, the source electrode of the power device and the cathode electrode of the TVS are connected by a second metal to form a low-voltage terminal electrode.
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公开(公告)号：US11224872B2
公开(公告)日：2022-01-18
申请号：US16575412
申请日：2019-09-19
Inventor： Xu Deng , Qiangqiang Sun , Yu Zhou
IPC: B01L3/02
Abstract: A pipette based on surface charges includes a pipette body. A plurality of support rods are provided below the pipette body. Connecting rods are provided at the lower ends of two adjacent support rods. A substrate is provided between the connecting rods. A porous SiO2 coating is provided on the substrate. A hydrophobic molecule layer is provided on the surface coating by the vapor deposition method. A superamphiphobic surface is formed on the substrate by the surface coating and the hydrophobic molecule layer. The substrate and the surface coating are made of dielectric materials. A circular limit plate is provided above the pipette body. The pipette body, the support rods, the connecting rods and the limit plate are integrally formed, and are electrically non-conductive. An electrically conductive sliding rod is movably provided within the pipette body and the limit plate.
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39.发明申请公开(公告)号：US20220007031A1
公开(公告)日：2022-01-06
申请号：US17412292
申请日：2021-08-26
Inventor： Ce ZHU , Lingling DENG , Ni JIANG , Qiuyue WANG , Keke DING
IPC: H04N19/147 , H04N19/567 , H04N19/172 , H04N19/109
Abstract: A temporal domain rate distortion optimization considering a coding-mode adaptive distortion propagation is provided. A problem of dependency rate distortion optimization based on a temporal domain distortion propagation is induced again according to a temporal domain dependency relationship under an LD structure and a distortion propagation analysis under a skip mode and an inter mode; and an aggregation distortion of a current coding unit and an affected future coding unit are estimated and a propagation factor of a coding unit in a temporal domain distortion propagation model is calculated by constructing a time propagation chain, wherein a Lagrange multiplier is adjusted through an accurate propagation factor to realize a temporal domain dependency rate distortion optimization, and an I frame is subjected to a secondary coding technology to realize the temporal domain dependency rate distortion optimization of the I frame.
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公开(公告)号：US20210385081A1
公开(公告)日：2021-12-09
申请号：US17336339
申请日：2021-06-02
Inventor： Yi DING , Zhen QIN , Fuyuan TAN , Fuhu DENG , Zhiguang QIN
Abstract: A key generation method based on a deep learning generative adversarial network includes: preparing a training set image; construction of a key generation network: constructing the key generation network according to a generator network and a discriminator network, and inputting the training set image to the key generation network; and training of the key generation network: training the key generation network by a deep learning method to generate a key.
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