Patents Assigned to Zhejiang Lab
  • Patent number: 11805025
    Abstract: The present disclosure provides a neural network computing-oriented modeling method and apparatus for distributed data routing. The method includes the following steps: S1, designing the distributed attribute of a physical tensor: abstracting a mapping relationship between a logic tensor and the physical tensor into three distributed attributes including a broadcast attribute, a scatter attribute and a local reduction attribute; S2, deducing the distributed attribute of an output tensor: specifying the distributed attribute of an input tensor, and then deducing the legal distributed attribute of the output tensor according to the known distributed attribute of the input tensor; and S3, judging, according to the distributed attribute situation, whether an intermediate communication primitive needs to be inserted to obtain the distributed attribute of a local physical tensor.
    Type: Grant
    Filed: June 23, 2022
    Date of Patent: October 31, 2023
    Assignee: ZHEJIANG LAB
    Inventors: Hongsheng Wang, Shuibing He, Hujun Bao, Guang Chen
  • Patent number: 11789639
    Abstract: A method and an apparatus for screening TB-scale of incremental data. In the present application, according to the memory capacity of the device, the raw data is divided into a plurality of raw data blocks, and the data is cleaned. By adopting a single-block index sorting algorithm, the de-duplicating ordering in the data blocks is completed without dropping operation, and the processed data blocks and a matrix hash index table are respectively generated and saved as initial data after completion. For the subsequent incremental data, the inter-block index-sorting algorithm is adopted, and the processed data blocks and the matrix hash index table are loaded in turn. The data is preliminarily screened on the basis of the matrix hash index table, and an incremental binary search algorithm is used for fine screening. Finally, the indexing and de-duplication screening of all data are completed.
    Type: Grant
    Filed: March 30, 2023
    Date of Patent: October 17, 2023
    Assignee: ZHEJIANG LAB
    Inventors: Hong Zhang, Yuan Liang, Tao Zou, Ruyun Zhang
  • Patent number: 11789057
    Abstract: A method for electric field measurement based on a levitated particle includes steps of (1) capturing a particle and levitating the captured particle; (2) adjusting a quantity of electric charge carried by the levitated particle; (3) measuring a charge number N of the levitated particle; (4) disposing the levitated particle in an electric field to be measured, measuring a displacement power spectral density Svxel of the levitated particle under the electric field and obtaining an electric field force Fel; and (5) according to a formula of E=Fel/Nqe, obtaining an electric field intensity E. An apparatus for electric field measurement based on a levitated particle includes a high-voltage DC (direct current) power supply, two bare wire electrodes, a vacuum chamber, a trapping laser, an objective lens, a pair of parallel electrodes, a collective lens, a quadrant photodetector, a lock-in amplifier, a signal generator and a power amplifier.
    Type: Grant
    Filed: December 27, 2022
    Date of Patent: October 17, 2023
    Assignees: Zhejiang Lab, Zhejiang University
    Inventors: Huizhu Hu, Zhenhai Fu, Xiaowen Gao, Tao Liang, Peitong He, Jing Jiang
  • Patent number: 11782723
    Abstract: Disclosed are an intermediate representation method and apparatus for parallel execution of graph computation. The method includes the following steps: S1: compiling a neural network into a computational graph on a computer; S2: defining branch states of tensor variables in the computational graph; S3: defining a data dependency relationship of the tensor variables in the computational graph; S4: defining a control dependency relationship of the tensor variables in the computational graph; S5: building a data dependency relationship graph of the tensor variables in the computational graph; S6: building a control dependency relationship graph of the tensor variables in the computational graph; and S7: transforming control dependencies into data dependencies. The present application derives, based on the dependency relationship, a parallel computing method that can execute the branch threads in parallel in the global computational graph, and optimizes the compilation efficiency of the computational graph.
    Type: Grant
    Filed: November 22, 2022
    Date of Patent: October 10, 2023
    Assignee: ZHEJIANG LAB
    Inventors: Hongsheng Wang, Guang Chen, Lingfang Zeng, Aimin Pan
  • Patent number: 11776879
    Abstract: The present disclosure discloses a three-dimensional stacked package structure with a micro-channel heat dissipation structure and a packaging method thereof. The three-dimensional stacked package structure includes a chip package portion comprising a multi-layered structure with stacked chips, wherein the stacked chips are provided with through silicon vias and packaged in a three-dimensional stacked packaging manner and a silicon substrate package portion comprising a silicon substrate. The silicon substrate is provided with micro bumps which are to be interconnected with external lead wires. The chip package portion is assembled on the silicon substrate by bonding with the micro bumps. The stacked chips are etched with micro-channels and through holes corresponding to each other. The micro-channels are for coolant flowing in a horizontal direction, and the through holes are for coolant flowing in upper and lower layers. Sealing rings are arranged around the micro-channels and the through holes.
    Type: Grant
    Filed: April 25, 2023
    Date of Patent: October 3, 2023
    Assignee: ZHEJIANG LAB
    Inventors: Guandong Liu, Weihao Wang, Shunbin Li, Ruyun Zhang
  • Patent number: 11777745
    Abstract: The present invention discloses a cloud-side collaborative multi-mode private data circulation method based on a smart contract, including: S1, a system is initialized; S2, the original data are encrypted into private data, an encryption certificate z? for storage is generated, and z? includes metadata and a data certificate key?; S3, the DO calls a smart contract program to realize uplink of the encryption certificate z? and releases z? to a block chain through a smart contract, wherein the smart contract is open to all user accounts; S4, rapid data circulation is realized: when DO releases the data certificate, DU has been identified, a DU's account IDDU is set through an access policy, the DU obtains an encryption key for data access by executing a smart contract and a key algorithm, private data are obtained through metadata and decrypted to obtain a plaintext; and S5, the data circulation is confirmed.
    Type: Grant
    Filed: August 11, 2022
    Date of Patent: October 3, 2023
    Assignee: Zhejiang Lab
    Inventors: Feng Gao, Wenyuan Bai
  • Patent number: 11774344
    Abstract: The present application discloses a nanoparticle recognition device and method based on detection of scattered light with electric dipole rotation. According to the scattering model of nanoparticles, the in situ detection of particle morphology in an optical trap is realized by the methods of particle suspension control and scattered light detection and separation. Specifically, two linearly polarized laser beams are used, wherein the first laser beam suspends nanoparticles and rotates nanoparticles by adjusting the polarization direction; the polarization direction of the second linearly polarized light is unchanged, and scattered light in a specific dipole direction is excited; the change of the polarizability of the nanoparticles is deduced by monitoring the change of the light intensity of the scattered light excited by the second laser beam at the fixed position, so that particle morphology recognition is realized.
    Type: Grant
    Filed: December 17, 2021
    Date of Patent: October 3, 2023
    Assignees: ZHEJIANG LAB, ZHEJIANG UNIVERSITY
    Inventors: Cuihong Li, Yuanyuan Ma, Zhaoxiong He, Shaochong Zhu, Zhiming Chen, Huizhu Hu
  • Patent number: 11759960
    Abstract: An optical waveguide-type soft photoactuator based on an optical micro/nanofiber includes an optical micro/nanofiber, a first deformed material membrane, and a second deformed material membrane. One end of the optical micro/nanofiber is provided with a taper region and a waist region, and the taper region and the waist region are encapsulated in the first deformed material membrane. The second deformed material membrane covers a side of the first deformed material membrane, and the first deformed material membrane or the second deformed material membrane is doped with a photothermal conversion material. The refractive index of the first deformed material membrane is less than the refractive index of a core of the optical micro/nanofiber. The coefficient of thermal expansion of the first deformed material membrane and a coefficient of thermal expansion of the second deformed material membrane are different.
    Type: Grant
    Filed: November 2, 2021
    Date of Patent: September 19, 2023
    Assignee: ZHEJIANG LAB
    Inventors: Lei Zhang, Jianliang Xiao, Wenzhen Yang, Shuqi Ma, Ni Yao
  • Publication number: 20230291483
    Abstract: A programmable two-dimensional simultaneous multi-beam optically operated phased array receiver chip is manufactured based on silicon-on-insulator (SOI) and indium phosphide (InP) semiconductor manufacturing processes, including the SiN process. The InP-based semiconductor is used for preparing a laser array chip and a semiconductor optical amplifier array chip, the SiN is used for preparing an optical power divider, and the SOI semiconductor is used for preparing a silicon optical modulator, a germanium-silicon detector, an optical wavelength multiplexer, a true delay line, and other passive optical devices. The whole integration of the receiver chip is realized through heterogeneous integration of the InP-based chip and the SOI-based chip. Simultaneous multi-beam scanning can be realized through peripheral circuit programming control.
    Type: Application
    Filed: May 16, 2023
    Publication date: September 14, 2023
    Applicant: ZHEJIANG LAB
    Inventors: Qiang ZHANG, Hui YU
  • Patent number: 11735321
    Abstract: Provided is a system for the prognostics of the chronic diseases after the medical examination based on the multi-label learning, including a data acquisition module, a data preprocessing module, a basic predicting model constructing module, and a local predicting module. The data acquisition module is configured to acquire physical examination data of a physical examination user. The basic predicting model constructing module is configured to construct a multi-label learning model for a physical examination scenario. The local predicting module includes a local model training unit and a predicting unit. The local model training unit adjusts the basic predicting model into a local predicting model, and solidifies the local predicting model into the local predicting module. The predicting unit outputs a predicted prognostic index for an occurrence of a plurality of chronic diseases, and finally acquires a future expected occurrence time of the chronic diseases.
    Type: Grant
    Filed: December 7, 2021
    Date of Patent: August 22, 2023
    Assignee: ZHEJIANG LAB
    Inventors: Jingsong Li, Tianshu Zhou, Chengkai Wu, Ying Zhang
  • Publication number: 20230253760
    Abstract: A 6.4 Tbps silicon-based photonics engine transceiver chip module for high-speed optical communication manufactured based on processing techniques of semiconductors such as silicon-on-insulator (SOI) and indium phosphide (InP). The photonics engine transceiver chip module uses a silicon photonic chip as a substrate, and optical chips of an InP laser and an optical amplifier are heterogeneously integrated with the silicon photonic chip through bonding or flip-chip soldering. As a pump light source, the laser generates a soliton-based optical frequency comb by using an ultra-low loss silicon nitride (SiN) resonator cavity, and can be used as a multi-wavelength laser. This reduces use of a single-wavelength laser chip, reduces a power consumption and heat conduction of a laser in an optical chip of a photonic engine, and improves an integration level of an optical device. The optical frequency comb generates an optical carrier with wide bandwidth coverage and a large quantity of wavelengths.
    Type: Application
    Filed: April 14, 2023
    Publication date: August 10, 2023
    Applicant: ZHEJIANG LAB
    Inventors: Qiang ZHANG, Hui YU
  • Publication number: 20230243998
    Abstract: An absolute gravimeter and a measurement method based on vacuum optical tweezers. The micro-nano particle releasing device is equipped with micro-nano particles, and is located above laser optical tweezers, and the laser optical tweezers have two capturing beams which pass through the respective convergent lenses and then converge at an intersection. An area where the intersection is located serves as an optical trap capturing region, and the micro-nano particles are stably captured by the two capturing beams in the optical trap capturing region. The optical interferometer is electrically connected to the signal processing device, the optical interferometer measures a displacement of the micro-nano particles in real time at the beginning of a free fall process from the optical trap capturing region and sends the displacement signal to the signal processing device. The signal processing device obtains a measured value of an absolute gravitational acceleration.
    Type: Application
    Filed: August 28, 2020
    Publication date: August 3, 2023
    Applicants: ZHEJIANG UNIVERSITY, ZHEJIANG LAB
    Inventors: Xingfan CHEN, Yishi LIU, Xiaowen GAO, Nan LI, Huizhu HU, Cheng LIU
  • Patent number: 11715562
    Abstract: Disclosed is a method for multi-center effect compensation based on a PET/CT intelligent diagnosis system. The method includes the following steps: estimating multi-center effect parameters of a test center B relative to a training center A by implementing a nonparametric mathematical method for data of the training center A and the test center B based on a location-scale model about additive and multiplicative multi-center effect parameters, and using the parameters to compensate the data of the test center B to eliminate a multi-center effect between the test center B and the training center A. According to the present disclosure, the multi-center effect between the training center A and the test center B can be compensated, so that the compensated data of the test center B can be used in the model trained by the training center A, and the generalization ability of the model is indirectly improved.
    Type: Grant
    Filed: January 23, 2021
    Date of Patent: August 1, 2023
    Assignees: ZHEJIANG LAB, MINFOUND MEDICAL SYSTEMS CO., LTD
    Inventors: Ling Chen, Wentao Zhu, Bao Yang, Fan Rao, Hongwei Ye, Yaofa Wang
  • Patent number: 11714995
    Abstract: Disclosed is a method for distributed type training adaptation and apparatus in a deep learning framework and an AI accelerator card. The method includes the following steps: S1: the deep learning framework supports single-card configuration in a newly added AI accelerator card, and sub-steps thereof are as follows: S11: the deep learning framework supports new hardware; S12: the deep learning framework supports a device thread of the new hardware; S13: the deep learning framework supports a memory operation of the new hardware; and S14: the deep learning framework supports an operator kernel function of the new hardware; S2: the deep learning framework supports multi-card configuration in the newly added AI accelerator card; S3: the deep learning framework supports tensor segmentation and multi-card distribution; and S4: the deep learning framework supports multi-card collective communication in the newly added AI accelerator card.
    Type: Grant
    Filed: May 9, 2022
    Date of Patent: August 1, 2023
    Assignee: ZHEJIANG LAB
    Inventors: Hongsheng Wang, Hujun Bao, Wei Hua, Weiqiang Jia
  • Patent number: 11716134
    Abstract: A phase noise suppression method for a multiple-input multiple-output (MIMO) system with a plurality of co-reference channels includes: dividing the phase noise of each channel in the MIMO system into common phase noise and independent phase noise, and constructing a certain number of joint phase states for the independent phase noise; inserting a pilot sequence into the sent signal based on a preset cycle, obtaining the common phase noise based on the pilot at receiver, and performing compensation; and performing signal demodulation on each joint state of the independent phase noise, and comparing the posterior log likelihood values to select the optimal result to output. The above method can significantly improve the phase noise suppression performance of the MIMO system with a plurality of co-reference channels, thereby providing support for improving the system capacity by using MIMO technology.
    Type: Grant
    Filed: December 6, 2022
    Date of Patent: August 1, 2023
    Assignee: ZHEJIANG LAB
    Inventors: Changming Zhang, Xianbin Yu
  • Patent number: 11705437
    Abstract: An interconnection structure of a system on wafer and a PCB based on a TSV process and a method for manufacturing the same. The structure comprises a bottom structural part and a top structural part, the upper surface of the bottom structural part is provided with a plurality of positioning holes; the lower surface of the top structural part is provided with positioning pins; the upper surface of the bottom structural part is provided with a bottom groove, and a system on wafer is arranged in the bottom groove; the lower surface of the system on wafer is connected with the bottom groove; the lower surface of the top structural part is provided with a top groove, and a PCB preformed die is connected in the top groove, and the other end of the PCB preformed die is connected with the system on wafer by an elastic connector.
    Type: Grant
    Filed: January 19, 2023
    Date of Patent: July 18, 2023
    Assignee: ZHEJIANG LAB
    Inventors: Qingwen Deng, Kun Zhang, Shunbin Li, Ruyun Zhang
  • Patent number: 11704773
    Abstract: Disclosed is an automatic reorientation method from an SPECT three-dimensional reconstructed image to a standard view, wherein a rigid registration parameter P between a SPECT three-dimensional reconstructed image A and a standard SPECT image R is extracted by using a rigid registration algorithm to form a mapping database of A and P; features of the image A are extracted by using a three-layer convolution module, and are converted into a 6-dimensional feature vector T after three times of full connection, and T is applied to A through a spatial transformer network to form an orientation result predicted by the network, thus establishing the automatic reorientation model of the SPECT three-dimensional reconstructed image. The SPECT three-dimensional reconstructed image to be orientated is taken as an input. A standard view can be obtained by using the automatic reorientation model of the SPECT three-dimensional reconstructed image for automatic turning.
    Type: Grant
    Filed: April 2, 2022
    Date of Patent: July 18, 2023
    Assignee: ZHEJIANG LAB
    Inventors: Duo Zhang, Wentao Zhu, Ling Chen, Fan Rao, Bao Yang, Hui Shen
  • Patent number: 11699290
    Abstract: Disclosed are a pedestrian re-identification method and apparatus based on local feature attention. The method includes the following steps: S1: obtaining an original surveillance video image data set, and dividing the original surveillance video image data set into a training set and a test set in proportion; and S2: performing image enhancement on the original surveillance video image training set to obtain enhanced images, and converting the enhanced images into sequence data.
    Type: Grant
    Filed: September 27, 2022
    Date of Patent: July 11, 2023
    Assignee: ZHEJIANG LAB
    Inventors: Hongsheng Wang, Guang Chen
  • Publication number: 20230191623
    Abstract: An optical waveguide-type soft photoactuator based on an optical micro/nanofiber includes an optical micro/nanofiber, a first deformed material membrane, and a second deformed material membrane. One end of the optical micro/nanofiber is provided with a taper region and a waist region, and the taper region and the waist region are encapsulated in the first deformed material membrane. The second deformed material membrane covers a side of the first deformed material membrane, and the first deformed material membrane or the second deformed material membrane is doped with a photothermal conversion material. The refractive index of the first deformed material membrane is less than the refractive index of a core of the optical micro/nanofiber. The coefficient of thermal expansion of the first deformed material membrane and a coefficient of thermal expansion of the second deformed material membrane are different.
    Type: Application
    Filed: November 2, 2021
    Publication date: June 22, 2023
    Applicant: ZHEJIANG LAB
    Inventors: Lei ZHANG, Jianliang XIAO, Wenzhen YANG, Shuqi MA, Ni YAO
  • Patent number: 11680961
    Abstract: A probe-based bidirectional electrophoretic force optical trap loading method includes steps of (1) detaching target particles from an upper electrode plate and capturing the target particles by a micro-scale probe based on a bidirectional electrophoretic force; (2) moving the probe with the target particles over an optical trap, applying a reverse electric field between the probe and the upper substrate electrode plate which is applied during a polar relaxation time of the target particles, and desorbing the target particles from the probe; and (3) turning on the optical trap, applying an electric field between the lower electrode plate and the upper electrode plate, adjusting the speed of the desorbed target particles through the electric field at which the optical trap is able to capture the desorbed target particles and the desorbed target particles moving to the effective capture range of the optical trap.
    Type: Grant
    Filed: August 16, 2022
    Date of Patent: June 20, 2023
    Assignees: Zhejiang Lab, Zhejiang University
    Inventors: Yuanyuan Ma, Cuihong Li, Zhiming Chen, Yingying Wang, Xunmin Zhu, Huizhu Hu