Liqiang Zhang

ORCID: 0000-0003-2475-9268
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About
Contact & Profiles
Research Areas
  • Indoor and Outdoor Localization Technologies
  • Robotics and Sensor-Based Localization
  • Advanced Sensor and Control Systems
  • Analytical Chemistry and Chromatography
  • Inertial Sensor and Navigation
  • Gait Recognition and Analysis
  • Computer Graphics and Visualization Techniques
  • Hydraulic Fracturing and Reservoir Analysis
  • Hydraulic and Pneumatic Systems
  • Material Properties and Processing
  • Solidification and crystal growth phenomena
  • Hydrocarbon exploration and reservoir analysis
  • Advanced Measurement and Detection Methods
  • Advanced Computational Techniques and Applications
  • Advanced Vision and Imaging
  • Aluminum Alloy Microstructure Properties
  • Underwater Vehicles and Communication Systems
  • 3D Surveying and Cultural Heritage
  • Military Defense Systems Analysis
  • Piezoelectric Actuators and Control
  • Advancements in Transdermal Drug Delivery
  • Cybersecurity and Information Systems
  • Video Analysis and Summarization
  • Advanced Drug Delivery Systems
  • Olfactory and Sensory Function Studies

Hunan University
2015-2025

Yunnan Normal University
2025

China University of Petroleum, East China
2025

Second Affiliated Hospital of Xi'an Jiaotong University
2025

Chinese Academy of Sciences
2004-2024

State Key Laboratory of Remote Sensing Science
2004-2024

Yanshan University
2024

Beijing Normal University
2004-2024

Lanzhou Institute of Chemical Physics
2024

Beijing Children’s Hospital
2023

Every year, for ten years now, the IPIN competition has aimed at evaluating real-world indoor localisation systems by testing them in a realistic environment, with movement, using EvAAL framework. The provided unique overview of state-of-the-art systems, technologies, and methods positioning navigation purposes. Through fair comparison performance achieved each system, was able to identify most promising approaches pinpoint critical working conditions. In 2020, included 5 diverse off-site...

10.1109/jsen.2021.3083149 article EN cc-by IEEE Sensors Journal 2021-05-24

The rising incidence of Alzheimer's disease (AD) poses significant challenges to traditional diagnostic methods, which primarily rely on neuropsychological assessments and brain MRIs. advent deep learning in medical diagnosis opens new possibilities for early AD detection. In this study, we introduce retinal vessel segmentation methods based U-Net ad iterative registration Learning (ReIU), extract maps from OCT angiography (OCT-A) facilities. Our method achieved accuracies 79.1% the DRIVE...

10.3389/fpubh.2024.1449798 article EN cc-by Frontiers in Public Health 2025-01-03

In the Bonan area, lower fourth member of Shahejie Formation (Es4x) is buried beneath a sedimentary pile ranging from 2500 to 5000 m. Understanding impact diagenetic alterations on these deeply reservoirs crucial for effective hydrocarbon exploration and production. This study employs terminal fan sedimentation model, encompassing depositional environments such as feeder channels, distributary floodplains, basinal zones, provide insights into spatial distribution reservoir properties their...

10.3390/min15020099 article EN Minerals 2025-01-21

10.1016/j.ijrmms.2025.106052 article EN International Journal of Rock Mechanics and Mining Sciences 2025-02-15

On the basis of core observation and description, multi-scale microscopic analysis related reservoir physical property analysis, petrological characteristics, characteristics diagenetic Lower Jurassic Sangonghe Formation in central area Junggar Basin are systematically studied, evolution sequence is further established. The results show that studied interval has undergone three processes: compaction, cementation dissolution during its development after burial. mainly goes through two stages:...

10.5194/egusphere-egu25-4748 preprint EN 2025-03-14

Two-dimensional (2D) antiferromagnetic (AFM) semiconductors have garnered significant attention due to their promising applications in spintronics and intriguing magneto-optical performance. However, low Néel temperatures (TN) inadequate air stability constrain application. Here, we report the synthesis of a 2D semiconducting CuFeS2 (CFS) exhibiting AFM order. It features high TN (473.0 ± 0.4 K) remains stable for at least 2 weeks. The semiconductor characteristics are confirmed via...

10.1021/acs.nanolett.5c01088 article EN Nano Letters 2025-03-29

Abstract Ambient sunlight‐driven photothermal green syngas production via reverse water‐gas shift (RWGS) reaction is important for carbon neutrality, which lacks efficient and inexpensive catalysts at low temperatures. This studydemonstrates that the scalable Fe 3 O 4 supported with K atoms modified Ag nanoparticles (AgK/Fe ) exhibits a RWGS CO rate of 1089 mmol g −1 h 300 °C 100% selectivity through dynamic structural reconstruction, surpassing all reported platinum‐based catalysts. In situ...

10.1002/adfm.202412562 article EN Advanced Functional Materials 2024-11-05

The potential of liposome electrokinetic chromatography (LEKC), which is applied to estimate compound penetration through the skin, was evaluated in this report. Quantitative retention-activity relationships (QRARs) were successfully constructed between skin permeability coefficient (log K(p)) and retention values k), as well some calculated molecular descriptors by stepwise regression method (R(2) = 0.902). Furthermore, developed vector compare similarity reported lipophilicity measuring...

10.1039/b807497f article EN The Analyst 2008-10-24

As a powerful global registration method for point clouds, the 4-points congruent sets (4PCS) algorithm has been wildly used in 3D scene reconstruction field. In this paper, we propose an adaptive 4PCS (A4PCS), which aims to provide robustness rigid transformation two or more overlapping laser scans. The proposed only incorporates distance information of stereoscopic base set and fast mechanism extraction into 4PCS. To ensure accuracy when dealing with restrictive situations, such as clouds...

10.1109/access.2020.2963984 article EN cc-by IEEE Access 2020-01-01

Pedestrian navigation systems could serve as a good supplement for other methods or extending into areas where are invalid. Due to the accumulation of inertial sensing errors, foot-mounted inertial-sensor-based pedestrian (PNSs) suffer from drift, especially heading drift. To mitigate considering complexity human motion and environment, we introduce novel hybrid framework that integrates foot-state classifier triggers zero-velocity update (ZUPT) algorithm, zero-angular-rate (ZARU) state...

10.3390/app11041902 article EN cc-by Applied Sciences 2021-02-22

Due to the errors arising from low-cost inertial measurement units, pedestrian dead-reckoning (PDR) systems suffer accumulative velocity and position errors. Previous works proved that zero-velocity update (ZUPT) method can effectively reduce of PDR system so positional be mitigated. The ZUPT algorithm is triggered by a stance phase-detection module generally adopts fixed threshold. However, fixed-threshold-based detector not robust enough may recognize phases accurately with dynamic gait...

10.1088/1361-6501/ac0072 article EN Measurement Science and Technology 2021-05-12

Abstract Compliant micromechanisms (CMMs) acquire mobility from the deflection of elastic members and have been proven to be robust by millions silicon MEMS devices. However, limited impedes realization more sophisticated CMMs, which often require larger deflections. Recently, some novel manufacturing processes emerged but are not well known community. In this paper, CMMs is reviewed, aiming provide help mechanical designers quickly find proper method for their CMM designs. To end,...

10.1186/s10033-021-00606-y article EN cc-by Chinese Journal of Mechanical Engineering 2021-09-08

Pedestrian dead reckoning is a challenging task due to the low-cost inertial sensor error accumulation. Recent research has shown that deep learning methods can achieve impressive performance in handling this issue. In letter, we propose odometry using deep-learning-based velocity estimation method. The neural network based on Res2Net modules and two convolutional block attention leveraged restore potential connection between horizontal vector raw data from smartphone. Our trained only 50%...

10.1109/lsens.2022.3212472 article EN IEEE Sensors Letters 2022-10-14

This paper presents a magnetic matching-aided indoor localization system based on waist-mounted self-contained sensor array. Our purpose is to localize and track the elderly in nursing homes through proposed wearable device ensure their safety. The consists of low-cost 9-axis array, microcontroller, WiFi transmission module. uses step length heading-based pedestrian dead reckoning (PDR) framework as backbone estimate user’s position using averaged inertial data from A fingerprint matching...

10.1155/2022/1710907 article EN cc-by Journal of Sensors 2022-04-25

Abstract B cell expansion with NF‐κB and T anergy (BENTA) is a disease genetically linked heterozygous gain‐of‐function (GOF) mutations in the CARD11 gene an autosomal dominant expression. Hemophagocytic lymphohistiocytosis (HLH) heterogeneous group of disorders characterized by systemic inflammation hypercytokinaemia. Some BENTA patients share similar clinical manifestations as HLH various aspects, including fever splenomegaly. In this study, we reported 15‐month‐old boy diagnosed meeting...

10.1111/sji.13256 article EN Scandinavian Journal of Immunology 2023-01-21

The zero-velocity update (ZUPT) method is an effective way to reduce accumulated velocity errors of pedestrian navigation systems (PNSs). For a typical scheme, stance phase detection module based on fixed threshold used trigger the ZUPT algorithm. However, detector not robust enough for dynamic gait speeds. false will degrade performance. In this letter, improve detector, adaptive problem cast under speeds as sequential traditional inferring and framework proposed by combining deep neural...

10.1049/ell2.12339 article EN Electronics Letters 2021-10-16
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