Yanhao Chen

ORCID: 0000-0003-2755-6036
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Research Areas
  • Semiconductor Quantum Structures and Devices
  • Color Science and Applications
  • ZnO doping and properties
  • Color perception and design
  • GaN-based semiconductor devices and materials
  • Advanced Algorithms and Applications
  • Energy Load and Power Forecasting
  • Wind and Air Flow Studies
  • Electrospun Nanofibers in Biomedical Applications
  • Building Energy and Comfort Optimization
  • Advanced Image Fusion Techniques
  • Quality Function Deployment in Product Design
  • Business Process Modeling and Analysis
  • Wound Healing and Treatments
  • Effects of Vibration on Health
  • Safety Warnings and Signage
  • Silk-based biomaterials and applications
  • Musculoskeletal pain and rehabilitation
  • Ergonomics and Musculoskeletal Disorders
  • Wind Turbine Control Systems
  • Urban Heat Island Mitigation
  • Healthcare Technology and Patient Monitoring
  • Hybrid Renewable Energy Systems
  • Human-Automation Interaction and Safety
  • Product Development and Customization

Ministry of Industry and Information Technology
2020-2025

Northwestern Polytechnical University
2019-2024

Southwest University
2024

Tunghai University
2023

National Yang Ming Chiao Tung University
2012

Numerous human factors need to be considered in the analysis and design of aircraft cockpits. The investigation cockpit color patterns matched schemes are particularly important. In this paper, we propose a fuzzy-logic-based emotional evaluation scheme for pattern Color samples were collected analyzed construct library matching. groups accordingly redesigned visualized. Based on fuzzy-set theory, Kansei engineering model was thus used evaluate image schemes, rank them terms priority. A...

10.3233/jifs-191960 article EN Journal of Intelligent & Fuzzy Systems 2021-01-05

Abstract Prolonged sitting in a fixed or constrained position exposes aircraft passengers to long-term static loading of their bodies, which has deleterious effects on passengers’ comfort throughout the duration flight. The previous studies focused primarily office and driving postures few studies, however, aircraft. Consequently, aim present study is detect recognize relation discomfort. A total 24 subjects were recruited for experiment, lasted 2 h. Furthermore, 489 extracted pressure data...

10.1017/s0890060421000135 article EN Artificial intelligence for engineering design analysis and manufacturing 2021-08-01

In this letter, we report the high performance GaN-based light-emitting diodes (LEDs) with embedded air void array grown by metal-organic chemical vapor deposition. The donut-shaped was formed at interface between crown-shaped patterned sapphire substrates (CPSS) and GaN epilayer conventional photolithography. transmission electron microscopy images demonstrate that threading dislocations were significantly suppressed epitaxial lateral overgrowth (ELOG). Monte Carlo ray-tracing simulation...

10.1109/lpt.2012.2195779 article EN IEEE Photonics Technology Letters 2012-04-23

Abstract Studies show that there are shortcomings in applying conventional methods for the emotional evaluation of aircraft cockpit. In order to resolve this problem, a more efficient cockpit emotion system is established present study simply and quickly obtain value. To end, neural network applied construct an model evaluate prediction interior design Moreover, several technologies Kansei engineering method acquire data typical models. regard, radical basis function (RBFNN), Elman (ENN),...

10.1017/s0890060420000475 article EN Artificial intelligence for engineering design analysis and manufacturing 2020-11-05

The assessment of indoor thermal environments is crucial to achieving comfort and energy efficiency. However, the inaccurate evaluation strong nonlinear variations parameters limit engineering designs. Therefore, a coupled heat-transfer model was developed in this study, large eddy simulations were performed verify influence inertia buoyancy—which are mutually exclusive forces but coexist large-space building environments—on inhomogeneous environments. Furthermore, an artificial neural...

10.3390/buildings12111880 article EN cc-by Buildings 2022-11-04

Traditional civil aircraft manufacturing enterprises are experiencing transformation from providing products to the services based on entire life cycle. In process of and upgrading, a well-developed knowledge management system is crucial support rapid agile development enterprises, fast delivery orders increase in brand awareness. However, research area design related computer integrated systems, there lack investigation into modelling, frameworks methods product design, which vital modern...

10.1080/0951192x.2019.1699253 article EN International Journal of Computer Integrated Manufacturing 2019-12-09

Abstract Owing to the increasing amount of information presented in cockpit, visual and hearing channels are unable adequately transmit information, which may increase mental load on pilots. This study explores benefits multimodal alarms under high low residual capacities during take‐off civil aircrafts a quasi‐experimental study. The performance two modes (visual auditory [VA], visual, auditory, tactile [VAT]) were tested. results showed that VAT superior VA terms choice response times...

10.1002/hfm.21026 article EN Human Factors and Ergonomics in Manufacturing & Service Industries 2024-02-06

We fabricated high efficiency LEDs with embedded micro-scale air voids and SiO2 nanomask exhibit smaller reverse-bias current great enhancement of the light output (65% at 20mA) compared conventional LEDs.

10.1364/cleo_at.2012.jth2a.68 article EN Conference on Lasers and Electro-Optics 2012-01-01

10.4156/jcit.vol8.issue5.56 article EN Journal of Convergence Information Technology 2013-03-15

Climate change greatly affects human life. According to previous studies, the biggest cause of climate is increase greenhouse gases in atmosphere. In order effectively reduce carbon emissions, many countries not only formulate reduction policies, but also focus on developing green energy. Green energy, e.g., solar energy and wind a solution emission; however, it difficult for electricity provide stable supply due factors. this paper, we proposed long short-term memory (LSTM) deep learning...

10.1109/apsipaasc58517.2023.10317553 article EN 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC) 2023-10-31
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