- Computer Graphics and Visualization Techniques
- Advanced Vision and Imaging
- Luminescence Properties of Advanced Materials
- 3D Shape Modeling and Analysis
- Drilling and Well Engineering
- Tunneling and Rock Mechanics
- Video Surveillance and Tracking Methods
- Structural Behavior of Reinforced Concrete
- Service-Oriented Architecture and Web Services
- Remote-Sensing Image Classification
- Rough Sets and Fuzzy Logic
- Gas Sensing Nanomaterials and Sensors
- Concrete Corrosion and Durability
- Target Tracking and Data Fusion in Sensor Networks
- Aerodynamics and Fluid Dynamics Research
- Advanced Bandit Algorithms Research
- Reinforcement Learning in Robotics
- Wind Energy Research and Development
- Fire Detection and Safety Systems
- Animal Behavior and Welfare Studies
- Anomaly Detection Techniques and Applications
- Oil Spill Detection and Mitigation
- Inorganic Fluorides and Related Compounds
- Innovative concrete reinforcement materials
- Multimodal Machine Learning Applications
West China Hospital of Sichuan University
2024
University of California, Irvine
2022-2024
Sanya University
2024
Wuhan University of Technology
2024
State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation
2023-2024
First Affiliated Hospital of Zhengzhou University
2024
Shandong Jianzhu University
2022-2024
Southwest Petroleum University
2023-2024
Sichuan University
2024
Yunnan Normal University
2023
Physics-based differentiable rendering, the estimation of derivatives radiometric measures with respect to arbitrary scene parameters, has a diverse array applications from solving analysis-by-synthesis problems training machine learning pipelines incorporating forward rendering processes. Unfortunately, general-purpose remains challenging due lack efficient estimators as well need identify and handle complex discontinuities such visibility boundaries. In this paper, we show how path...
As a novel green material, Ultra-high performance concrete (UHPC) has favourable application prospects. Currently, the ultimate shear capacity design of UHPC beam is carried out using empirical or semi-empirical methods. These methods involve approximations, which are not always reliable, and their scope limited. In view this, test was conducted on eight rectangular beams. The span to depth ratio (1.5, 2, 2.5, 3) longitudinal reinforcement (5.6%,6.2%,7.1%) were designated as experimental...
Boundary integrals are unique to physics-based differentiable rendering and crucial for differentiating with respect object geometry. Under the differential path integral framework---which has enabled development of sophisticated algorithms---the boundary components themselves integrals. Previously, although mathematical formulation have been established, efficient estimation these remains challenging. In this paper, we introduce a new technique efficiently estimate A key component our is...
Reconstructing the shape and spatially varying surface appearances of a physical-world object as well its surrounding illumination based on 2D images (e.g., photographs) has been long-standing problem in computer vision graphics. In this paper, we introduce an accurate highly efficient reconstruction pipeline combining neural physics-based inverse rendering (PBIR). Our firstly leverages SDF to produce high-quality but potentially imperfect shape. Then, material lighting distillation stage...
A 3D digital scene contains many components: lights, materials and geometries, interacting to reach the desired appearance. Staging such a is time-consuming requires both artistic technical skills. In this work, we propose PSDR-Room, system allowing optimize lighting as well pose of individual objects match target image room scene, with minimal user input. To end, leverage recent path-space differentiable rendering approach that provides unbiased gradients respect geometry, lighting,...
Abstract Semantic representation of a topic is the basic element scientific document, which can be reflected by keywords' relations and their weights, as well state values co‐occurring keywords in documental fragment discussed. Concept lattice probability statistical methods are proposed to generate fuzzy cognitive maps (FCMs) original semantic fragments ( SRDFs ) for e‐science Knowledge Grid. The additive capability FCMs used merge reducing noise redundant information hidden . loss merging...
Mathematically representing the shape of an object is a key ingredient for solving inverse rendering problems. Explicit representations like meshes are efficient to render in differentiable fashion but have difficulties handling topology changes. Implicit signed-distance functions, on other hand, offer better support changes much more difficult use physics-based rendering. We introduce new pipeline that uses both implicit and explicit representations. Our technique enjoys benefit by...
Research on artificial intelligence and robotics for the ecological protection restoration of waters has increased in importance with promotion national green sustainable development strategies. Autonomous Surface Vessel Water Cleanup (ASV) research not yet considered uncertainty water surface float positioning under complex current fluctuation factors. The result is that ASV low accuracy planning cleaning paths its efficiency cannot meet practical application requirements. To solve above...
This study aims to investigate the agreement between Huaxi Emotional Index (HEI) and Nurses' Global Assessment of Suicide Risk (NGASR) in assessing high suicide risk explore predictive value HEI identifying among patients with depression.
The use of high-strength concrete (HSC) for the steel-reinforced (SRC) columns received wide attentions due to inherent brittleness HSC. To simultaneously enhance strength and ductility, a new type reactive powder (SRRPC) column was developed. However, seismic performance SRRPC has not been well understood. Based on previous cyclic experimental results, theoretical hysteretic model developed simulate loops. Moreover, Finite element successfully validated by comparing failure modes, backbone...
Automatic composition of semantic Web services by requests is one difficult problems in the field services. In this paper we investigate ontology and ant colony (AC) algorithm propose a method (ACAC) that based on algorithm. We generate graph input output services, using method, then transformed into finding satisfying path graph. So AC used for efficient Finally, have tested ACAC with test set results show can successfully compose also able to ensure quality efficiency composition.
Automatic discovery of semantic relations between resources is a key issue in Web-based intelligent applications such as document understanding and Web services. This paper explores how to automatically discover the latent their properties based on existing association rules. Through building matrix by rules, four can be extracted using union intersection set theory. By cyclic graph model, transitive path relation discovered. Document-level keywords domain-level well parameters are analyzed...
3D point cloud is an important geometric data structure. In recent years, deep learning for has attracted more and attention been widely applied in autonomous driving, robotics some other fields. Existing models can guarantee a relatively high accuracy during training while sacrificing the inference speed due to large amount of model parameters, which poses challenge real-time semantic segmentation clouds. To accelerate process, alternative solutions optimize through pruning (reducing...
Abstract In order to complete the monitoring and early warning of radar antenna transmission device with more frequent faults, a gear fault judgment method suitable for equipment is proposed in this paper. According characteristics gear, motor current frequency difference mechanism under normal conditions compared, simulation experiment completed. The results verify feasibility correctness method.
Aiming at improving reliability of hydraulic cylinder and pertinent machine system, it is meaningful to promote testing the cylinder. In this work, a novel idea organize under normal or accelerated stress levels proposed, variable loading stresses applied include working pressure, velocity, side load oil temperature Modular design development mechanical bench, fluid power drive control system with recovery, computer-aided measurement are implemented, integrated new an life test prediction...