A5107746743- Topology Optimization in Engineering
- High-Temperature Coating Behaviors
- Piezoelectric Actuators and Control
- Advanced Measurement and Detection Methods
- Optical Systems and Laser Technology
- Collaboration in agile enterprises
- Mechanical Engineering and Vibrations Research
- Diamond and Carbon-based Materials Research
- Manufacturing Process and Optimization
- Soil Mechanics and Vehicle Dynamics
- Advanced optical system design
- Advanced Measurement and Metrology Techniques
- Gaze Tracking and Assistive Technology
- Nuclear Materials and Properties
- Probabilistic and Robust Engineering Design
- Composite Structure Analysis and Optimization
- Service-Oriented Architecture and Web Services
- Outsourcing and Supply Chain Management
- Spatial Cognition and Navigation
- Software Engineering Techniques and Practices
- Engineering Diagnostics and Reliability
- Material Properties and Failure Mechanisms
- Emotion and Mood Recognition
- Mechanical Failure Analysis and Simulation
- Impact of Light on Environment and Health
Chinese Institute for Brain Research
2024
Institute of Basic Medical Sciences of the Chinese Academy of Medical Sciences
2024
Shandong Jianzhu University
2024
Dalian University of Technology
2021-2023
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
2021
Wuhan University
2021
Florida State University
2016
Central University of Finance and Economics
2008
Guangdong University of Technology
2007
Abstract Deep learning has become a powerful technique for effectively extracting features in the field of rolling bearing fault diagnosis. However, case sparse labeled sample data, feature distribution is quite different, and simple samples are used repeatedly, leading to challenges diagnosis, including insufficient inaccurate classification. Therefore, contrastive method proposed few-shot scenarios, incorporating hard example mining address these challenges. In this framework, similarities...
Gadolinium zirconate with excellent high-temperature phase stability and sintering resistance has become a very promising candidate material for new generation of thermal barrier coatings (TBCs). However, the low fracture toughness gadolinium greatly limits its application. In this study, (GZ) two kinds toughened (GZ/YSZ prepared by mixed powder Gd2Zr2O7 YSZ GSZC (Gd0.925Sc0.075)2(Zr0.7Ce0.3)2O7 powder) double-layered TBCs were atmospheric plasma spraying (APS). The GZ/YSZ coating 9 times...
It is shown that partner selection in agile supply chain network can be represented as a directed graph model. This paper considers multi-stages this process instead of one. The natures the proposed model enable us to design meta-heuristic algorithm-GACA which combined pros part ACOA and GA for solving good path search problem. Computational results show efficiency our algorithm compare other techniques.
In practice, partner selection in agile supply chain network usually involves multi-stages instead of one. this paper, it is shown that problem can be represented as a directed graph model. The natures the proposed model enable us to design meta-heuristic algorithm - GACA which combined pros part ACOA and GA for solving good path search problem. Computational results show efficiency our compare other techniques.
This study focused on a car model for thinning the design of door-the most significant part door trim- to reduce manufacturing cost doors. Specifically, modal, stiffness, and strength were analyzed through finite element analysis. Structures doors optimized based weak position stiffness. The sampling assembly tests carried out sample pieces after panel was designed thin. It worth mentioning that former (sampling test) assisted in correcting analysis model, structures verified feasible via...
Developing appropriate analytic-function-based constitutive models for new materials with nonlinear mechanical behavior is demanding. For such kinds of materials, it more challenging to realize the integrated design from collection material experiment under classical topology optimization framework based on models. The present work proposes a mechanistic-based data-driven (DDTO) three-dimensional continuum structures finite deformation. In DDTO framework, help neural networks and explicit...
Landmarks are important spatial reference in orientation because they can help pedestrians understand the relative relationship between environment and themselves, yet not all landmarks suitable for orientation. Pedestrians usually select proper ones based on their own cognition, which is a time-consuming process. If we predict popular (preferred by most people) from first-person perspective, will be much easier. To better landmark selection behaviour, research this paper designs an...