公开(公告)号：US12123998B1

公开(公告)日：2024-10-22

申请号：US18411805

申请日：2024-01-12

Applicant: SHANDONG UNIVERSITY

Inventor： Yang Yang ,  Shucai Li ,  Heng Zhang ,  Yuzhen Zhu ,  Huaifeng Sun

IPC: G01V3/08

CPC classification number: G01V3/083 ,  G01V2003/084 ,  G01V2003/085

Abstract: A system and method for controlled-source electromagnetic exploration is based on staggered frequency excitation of crossed sources. Different high-order pseudo-random signals are transmitted using two sources, respectively, each set of high-order pseudo-random signals may contain sufficient frequencies within a same complete frequency range, exploration frequencies of the two sets of signals are completely staggered, simultaneous transmission by the two field sources is implemented, and different polarization modes do not affect each other and are separated from each other. Moreover, different measuring line directions at a receiving terminal can be observed simultaneously, and each measuring point has two polarization directions, thus greatly improving the exploration efficiency and the data volume.

公开(公告)号：US12210132B2

公开(公告)日：2025-01-28

申请号：US18007567

申请日：2021-06-29

Applicant: SHANDONG UNIVERSITY

Inventor： Shucai Li ,  Huaifeng Sun ,  Nuoya Zhang ,  Jing Yang ,  Yang Yang ,  Ziqiang Zheng

IPC: G01V3/17 ,  G01V3/38

Abstract: A method and system for exploring hidden karst pipelines, mainly comprising: determining an upstream and a downstream of an underground karst pipeline; laying a grounding electrode at the upstream and the downstream respectively; establishing an electromagnetic emission system through underground karst water channels in the underground karst pipeline in a survey area, a transmitter and a generator; arranging a receiving system through an air mobile equipment towing a receiver as a receiving end; turning on the electromagnetic emission system; a generator supplying power to emission circuit; controlling the air mobile equipment to move along routes to collect signal continuously above the survey area, to complete an area-based measurement, and obtain observed data in the whole survey area; processing the observed data; delineating a concrete distribution of the underground karst water channels from the to the, such as a net-shaped path diagram or a tree-shaped path diagram.

公开(公告)号：US12181624B2

公开(公告)日：2024-12-31

申请号：US17618410

申请日：2020-07-13

Applicant: SHANDONG UNIVERSITY

Inventor： Shucai Li ,  Huaifeng Sun ,  Nuoya Zhang ,  Yang Yang ,  Shangbin Liu ,  Wenhan Li ,  Rui Liu

IPC: G01V3/02

Abstract: A novel tracing apparatus includes an electromagnetic transmitting system, a multi-frequency transmitting antenna, electrodes, and a receiver. The electromagnetic transmitting system is at an upstream point and includes a generator and a transmitter having a capacitor; the transmitting antenna penetrates into a detected aquifer through karst collapse or a drill hole; the electrodes and the receiver are at a downstream point, and include two pairs of electrodes orthogonally distributed and located in a cofferdam formed by downstream water; and the receivers collect electric signals in the electrodes. The apparatus is based on good electrical conductivity of water, and can use electromagnetic signals as a tracer for rapid observation. Compared with traditional tracers, electromagnetic signals propagate fast in water, are stable in property, and free of pollution. This apparatus can be applied to groundwater tracing detection, and problems with the traditional tracers having poor timeliness and being environmentally unfriendly are resolved.

公开(公告)号：US11983511B2

公开(公告)日：2024-05-14

申请号：US17601972

申请日：2021-03-30

Applicant: SHANDONG UNIVERSITY ,  THE CHINESE UNIVERSITY OF HONG KONG, SHENZHEN

Inventor： Jishan He ,  Yang Yang ,  Diquan Li ,  Jingbo Weng

IPC: G06F7/58 ,  G01V3/12 ,  G06F7/68

CPC classification number: G06F7/582 ,  G01V3/12 ,  G06F7/68

Abstract: A method and system for generating a high-order pseudo-random electromagnetic exploration signal. The method includes: constructing two or more basic unit signals according to an exploration requirement, wherein the basic unit signals are stairstep signals obtained by superposing a plurality of in-phase periodic square wave signals, and a frequency ratio between adjacent ones of the plurality of periodic square wave signals is 2; and superposing the two or more basic unit signals to obtain superposed stairstep signals, and correcting amplitudes to be consistent with amplitudes of the periodic square wave signals, to obtain high-order 2n sequence pseudo-random signals. The 2n sequence stairstep signals of different orders can be constructed within a limited frequency interval.

公开(公告)号：US11557123B2

公开(公告)日：2023-01-17

申请号：US17344629

申请日：2021-06-10

Applicant: SHANDONG UNIVERSITY

Inventor： Yang Yang ,  Chenguan Li ,  Peng Xu ,  Yunxia Liu ,  Man Guo ,  Yujun Li

IPC: G06V40/10 ,  G06V20/40

Abstract: A scene change method and system combining instance segmentation and cycle generative adversarial networks are provided. The method includes: processing a video of a target scene and then inputting the video into an instance segmentation network to obtain segmented scene components, that is, obtain mask cut images of the target scene; and processing targets in the mask cut images of the target scene by using cycle generative adversarial networks according to the requirements of temporal attributes to generate data in a style-migrated state, and generating style-migrated targets with unfixed spatial attributes into a style-migrated static scene according to a specific spatial trajectory to achieve a scene change effect.

公开(公告)号：US11763540B2

公开(公告)日：2023-09-19

申请号：US17341855

申请日：2021-06-08

Applicant: SHANDONG UNIVERSITY

Inventor： Yang Yang ,  Junjie Wang ,  Yunxia Liu

IPC: G06V10/25 ,  G06N3/08 ,  G06F18/214 ,  G06V10/774 ,  G06V20/40

CPC classification number: G06V10/25 ,  G06F18/214 ,  G06N3/08 ,  G06V10/7747 ,  G06V20/46

Abstract: A data enhancement expansion method, recognition method and system for deep learning, the data enhancement expansion method includes the following steps: collecting original video data of a target to be recognized, and extracting original images of several recognized targets from the original video data; extracting seed images of RoI outlines of the recognized targets from the original images; performing an image enhancement operation on the seed images of the RoI outlines of the recognized targets, and randomly extracting the seed images subjected the image enhancement operation for image aliasing enhancement to obtain several composite images; and generating a data set based on the original images of the several recognized targets and the several composite images. Original data materials are easy to obtain with extremely low cost and high authenticity, and can be really put to a deep learning network to achieve good recognition results.