- Urban Heat Island Mitigation
- Rough Sets and Fuzzy Logic
- Urban Green Space and Health
- Color perception and design
- Building Energy and Comfort Optimization
- Multi-Criteria Decision Making
- China's Ethnic Minorities and Relations
- Impact of Light on Environment and Health
- Korean Urban and Social Studies
- Data Management and Algorithms
- Cryospheric studies and observations
- Evaluation Methods in Various Fields
- Multi-Agent Systems and Negotiation
North China University of Technology
2024-2025
Henan Polytechnic University
2024
A comfortable outdoor environment, like its indoor counterpart, can significantly enhance the quality of life and improve physical mental health elderly populations. Urban spatial morphology is one key factors influencing environmental performance. To explore interactions between urban environment for elderly, this study utilized parametric tools to establish a performance-driven workflow based on “morphology generation–performance evaluation–morphology optimization” framework. Using survey...
Abstract Streets play a crucial role in urban tourism. This study examines the impact of street landscape color characteristics on visitors’ emotional perceptions, providing insights for planning. Focusing Xi'an's inner-third ring road area, we use Full Convolutional Neural Network (FCN) and Random Forest (RF) algorithms to create an perception dataset images. Machine learning techniques are employed extract features, construct quantitative indexes, visualize them spatially. Key findings...
Path planning is widely applied in various fields, including robotic movement and 3D printing. In this paper, we propose a path method by combining formal concept analysis the Q-learning algorithm to study grid map planning. First, represented as context, based on theory, necessary region concepts are defined introduced into obtain optimal path. Finally, through system experiments, it has been proven that using can reduce redundant information effectiveness of method. The experimental...
To optimize the outdoor thermal comfort and sunlight hours of elderly residential areas in cold regions China, we collected data on streets building forms from 121 sites Beijing. Utilizing parametric modeling tools to generate ideal models, a multi-objective optimization algorithm was applied identify 144 Pareto solutions. The optimal solutions were analyzed using K-means clustering Pearson correlation analysis examine how block form affects environmental performance. universal climate index...