公开(公告)号：US20240006372A1

公开(公告)日：2024-01-04

申请号：US18328797

申请日：2023-06-05

Applicant: ZHEJIANG LAB

Inventor： Weihao WANG ,  Shunbin LI ,  Guandong LIU ,  Ruyun ZHANG ,  Qinrang LIU ,  Zhiquan WAN ,  Jianliang SHEN

IPC: H01L23/00

CPC classification number: H01L24/81 ,  H01L24/11 ,  H01L24/14 ,  H01L2224/1403 ,  H01L2224/145 ,  H01L2224/14131 ,  H01L2224/11462

Abstract: A system-on-wafer structure and a fabrication method. The structure includes a wafer substrate, an integrated chiplet, a system configuration board and a thermal module. The wafer substrate and the integrated chiplet are bonded through a wafer micro bump array and a chiplet micro bump array. The wafer substrate and the system configuration board are bonded through a copper pillar array on wafer substrate topside and a pad on system configuration board backside. A molding layer is provided between the wafer substrate and the system configuration board, and is configured to mold the wafer substrate, the integrated chiplet and the copper pillar array. Integrated chiplet are electrically connected to each other through a re-distributed layer in wafer substrate. The integrated chiplet is electrically connected to the system configuration board through the re-distributed layer and the copper pillar array. The thermal module is attached to the backside of the wafer substrate.

公开(公告)号：US11861505B2

公开(公告)日：2024-01-02

申请号：US17833088

申请日：2022-06-06

Applicant: ZHEJIANG LAB

Inventor： Hongsheng Wang ,  Hujun Bao ,  Guang Chen

IPC: G06N3/10 ,  G06N7/01 ,  G06N3/04

CPC classification number: G06N3/10 ,  G06N3/04 ,  G06N7/01

Abstract: The disclosure discloses a method of executing dynamic graph for neural network computation and the apparatus thereof. The method of executing dynamic graph includes the following steps: S1: constructing and distributing an operator and a tensor; S2: deducing an operator executing process by an operator interpreter; S3: constructing an instruction of a virtual machine at runtime by the operator interpreter; S4: sending the instruction to the virtual machine at runtime by the operator interpreter; S5: scheduling the instruction by the virtual machine; and S6: releasing an executed instruction by the virtual machine. According to the method of executing dynamic graph for neural network computation and the apparatus thereof provided by the disclosure, runtime is abstracted to be the virtual machine, and the virtual machine acquires a sub-graph of each step constructed by a user in real time through the interpreter and schedules, the virtual machines issues, and executes each sub-graph.

公开(公告)号：US20230421500A1

公开(公告)日：2023-12-28

申请号：US18092939

申请日：2023-01-04

Applicant: ZHEJIANG LAB

Inventor： Congqi SHEN ,  Xingchang GUO ,  Hanguang LUO ,  Qi XU ,  Tao ZOU ,  Ruyun ZHANG

IPC: H04L45/7453 ,  H04L67/63 ,  H04N21/232

CPC classification number: H04L45/7453 ,  H04N21/232 ,  H04L67/63

Abstract: A content store-and-forward method, apparatus, an electronic apparatus and a storage medium, the method comprising the following steps: receiving an interest packet in a named data network; forwarding the interest packet to a storage node, so that the storage node looks up the corresponding content, and packages the content into a data packet containing the hash value of the name identifier and the corresponding content; receiving the data packet forwarded by the storage node; forwarding the data packet to an interest packet port, wherein the interest packet port is a port that has once received the name identifier corresponding to the content in the data packet; forwarding another data packet to the storage node, so that the storage node parses the hash value and the content of the name identifier in the another data packet, and stores the hash value of the name identifier and the corresponding content.

公开(公告)号：US20230419639A1

公开(公告)日：2023-12-28

申请号：US18464249

申请日：2023-09-10

Applicant: ZHEJIANG LAB

Inventor： Zhende LIU ,  Wuyue ZHANG ,  Peng LIU

IPC: G06V10/762 ,  G06V10/26 ,  G06T7/62

CPC classification number: G06V10/762 ,  G06V10/26 ,  G06T7/62 ,  G06V2201/07 ,  G06V20/13

Abstract: The present application discloses a target detection method and device for a high-resolution remote sensing image, which comprises: acquiring an original high-resolution remote sensing image from a sensor; acquiring target information of an area and an expanded area of the area expanding around by a predetermined distance; adaptively partitioning the original high-resolution remote sensing image to obtain different cluster areas to be detected, and obtaining an area required to be detected and an area not required to be detected; selecting a model of the area required to be detected and generating a target detection scheme; executing the target detection scheme to obtain a detection result; determining whether a computing platform has extra computing resources to detect the area not required to be detected, if so, performing dynamic partition detection for the area to obtain a detection result, and merging the detection results into a target detection result.

公开(公告)号：US20230418836A1

公开(公告)日：2023-12-28

申请号：US17981368

申请日：2022-11-04

Applicant: ZHEJIANG LAB

Inventor： Peilei WANG ,  Ruyun ZHANG ,  Tao ZOU ,  Shunbin LI ,  Peilong HUANG

IPC: G06F16/27 ,  H04L67/56 ,  G06F9/54 ,  G06F16/25

CPC classification number: G06F16/27 ,  H04L67/56 ,  G06F9/54 ,  G06F16/256

Abstract: Disclosed are an input/output proxy method and apparatus for a mimic Redis database. Through a pseudo server module, it is ensured that the interface of the Redis database is consistent with the external interface of the native Redis, so that it is convenient to implant the Redis database into arbitrary Redis application scenarios; the isolation of the modules inside is realized by independent processes, thus facilitating independent development, maintenance and expansion; and the synchronization function is integrated into the input/output proxy to achieve resource reuse; for the synchronization function, the random credit attenuation mechanism is cleverly utilized to ensure the synchronization function while taking into account the saving of resources.

公开(公告)号：US20230410560A1

公开(公告)日：2023-12-21

申请号：US17950033

申请日：2022-09-21

Applicant: ZHEJIANG LAB

Inventor： Hongsheng WANG ,  Guang CHEN ,  Hujun BAO

IPC: G06V40/20 ,  G06V20/64 ,  G06V10/56 ,  G06V10/82

CPC classification number: G06V40/25 ,  G06V20/64 ,  G06V10/56 ,  G06V10/82

Abstract: Disclosed are a method and apparatus for constructing a three-dimensional data set of a pedestrian re-identification based on a neural radiation field. The method includes the following steps: S1: capturing images of pedestrians to be entered by a group of cameras at different viewing angles; S2: generating a three-dimensional spatial position point set by sampling through camera rays in the scenario, and converting observation directions of the cameras corresponding to the three-dimensional spatial position point set into three-dimensional Cartesian unit vectors; and S3: inputting, into a multi-layer sensor, the three-dimensional spatial position point set and the observation directions converted into the three-dimensional Cartesian unit vectors, to output corresponding densities and colors. The method and apparatus of the present disclosure gives a brand-new method for constructing a pedestrian re-identification data set, and provides a new idea of data set construction.

公开(公告)号：US20230376355A1

公开(公告)日：2023-11-23

申请号：US18095381

申请日：2023-01-10

Applicant: ZHEJIANG LAB

Inventor： Mengmeng LIU ,  Qiongqian YANG ,  Dandan HUANG ,  Chen XU ,  Yanlin LIU ,  Zhenting LI

IPC: G06F9/50

CPC classification number: G06F9/5055

Abstract: The disclosure discloses a computing task allocation method, an updating method for computing task allocation, a terminal and a network device. When a computing task of a terminal is generated, computing task allocation is performed using at least one of a centralized mode, a distributed mode, or a hybrid mode; the computing task allocation includes communication resource allocation, computing resource allocation, and a task offloading decision; the above computing task allocation method subjected to dynamically updating according to a terminal state, a network state or a task state. Therefore, the compromise problem between overall system performance optimization and device fairness in a cloud-edge collaborative IoT system is solved.

公开(公告)号：US11823384B2

公开(公告)日：2023-11-21

申请号：US17766204

申请日：2021-01-23

Applicant: ZHEJIANG LAB ,  MINFOUND MEDICAL SYSTEMS CO., LTD

Inventor： Fan Rao ,  Wentao Zhu ,  Bao Yang ,  Ling Chen ,  Hongwei Ye

IPC: G06T7/00

CPC classification number: G06T7/0012 ,  G06T2207/10081 ,  G06T2207/10104 ,  G06T2207/20081

Abstract: Disclosed is a CT image generation method for attenuation correction of PET images. According to the method, a CT image and a PET image at T1 and a PET image at T2 are acquired and input into a trained deep learning network to obtain a CT image at T2; the CT image can be applied to the attenuation correction of the PET image, thereby obtaining more an accurate PET AC (Attenuation Correction) image. According to the CT image generation method for attenuation correction of PET images, the dosage of X-rays received by a patient in the whole image acquisition stage can be reduced, and physiological and psychological pressure of the patient is relieved. In addition, the later image acquisition only needs a PET imaging device, without the need of PET/CT device, cost of imaging resource distribution can be reduced, and the imaging expense of the whole stage is reduced.

公开(公告)号：US20230351212A1

公开(公告)日：2023-11-02

申请号：US17837233

申请日：2022-06-10

Applicant: ZHEJIANG LAB

Inventor： Hongsheng WANG ,  Qing LIAO ,  Hujun BAO ,  Guang CHEN

IPC: G06N5/02

CPC classification number: G06N5/022

Abstract: The disclosure provides a semi-supervised method and apparatus for public opinion text analysis. The semi-supervised method includes: first acquiring a public opinion data set, and preprocessing the data set; performing a data augmentation algorithm on preprocessed samples to generate data augmented samples; generating category labels for the unlabeled samples in the data set in an unsupervised extraction and clustering manner; calculating similarities of word vector latent semantic spaces and performing linear interpolation operation to generate, according to an operation result, similarity interpolation samples; constructing a final training sample set; adopting a semi-supervised method, inputting the final training sample set into a pre-trained language model to train the model to obtain a classification model; and predicting the test set by using the classification model to obtain a classification result.

公开(公告)号：US20230315203A1

公开(公告)日：2023-10-05

申请号：US18115678

申请日：2023-02-28

Applicant: ZHEJIANG LAB

Inventor： Yina WEI ,  Lijie WANG ,  Jinbiao LIU ,  Tao TANG ,  Linqing FENG ,  Zhengting CAI

IPC: G06F3/01 ,  A61B5/00 ,  A61B5/378

CPC classification number: G06F3/015 ,  A61B5/7264 ,  A61B5/378

Abstract: The present disclosure discloses a brain-computer interface decoding method and apparatus based on point-position equivalent augmentation. According to the method, a point-position equivalent transformation is performed on sampling points to augment training data and generate arrangement sets. The task-related component analysis is performed on the augmented data to generate spatial filter. Afterwards, a full-frequency directed rearrangement is performed on verification signals or test signals according to the equivalent arrangement sets. After spatial filtering, Pearson correlation coefficients between the rearranged signals and the decoding templates are calculated. These correlation coefficients will be classified and voted by using a naive Bayes method. The verification module will generate the coefficient probability density functions and a threshold, and the test module will finally output the predicted label based on these information.