Sun Qun
Biographic Data
| ID | 10238196 |
|---|---|
| NAME | Sun Qun |
| GIVEN NAMES | Sun |
| FAMILY NAME | Qun |
| SIGNATURE | QUN S |
| AFFILIATIONS | PLA Information Engineering University |
| VERIFIED | No |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Uropathogen profiles and their antimicrobial resistance patterns in patients
Background Urinary tract infection (UTI) is the most common infection requiring empiric antibiotic treatment. Due to the increased antibiotic resistance of uropathogens and their regional variation, monitoring pathogen distribution and antimicrobial susceptibility is important to ensure effective antibiotic therapy. This retrospective study analyzed the 3-year-long uropathogen profiles and their resistance from a single tertiary general hospital …
A Contour Line Group Simplification Method Based on Classified Terrain Features
Contour line group simplification methods can effectively preserve terrain features during map making and producing. This process involves two main steps, namely terrain feature line extraction and contour bend selection. The terrain feature line extraction includes two steps, that is, terrain feature point extraction and classification, and terrain feature line connection. However, to date, many similar studies have not considered the hierarchy …
Leveraging Deep Convolutional Neural Network for Point Symbol Recognition in Scanned Topographic Maps
Point symbols on a scanned topographic map (STM) provide crucial geographic information. However, point symbol recognition entails high complexity and uncertainty owing to the stickiness of map elements and singularity of symbol structures. Therefore, extracting point symbols from STMs is challenging. Currently, point symbol recognition is performed primarily through pattern recognition methods that have low accuracy and efficiency. To address th…
Progressive Collapse of Dual-Line Rivers Based on River Segmentation Considering Cartographic Generalization Rules
Collapse is a common cartographic generalization operation in multi-scale representation and cascade updating of vector spatial data. During transformation from large- to small-scale, the dual-line river shows progressive collapse from narrow river segment to line. The demand for vector spatial data with various scales is increasing; however, research on the progressive collapse of dual-line rivers is lacking. Therefore, we proposed a progressive…
Road Network Generalization Method Constrained by Residential Areas
Residential areas and road networks have a strong geographical correlation. The development of a single geographical feature could destroy the geographical correlation. It is necessary to establish collaborative generalization models suitable for multiple features. However, existing road network generalization methods for mapping purposes do not fully consider residential areas. Compared with road networks, residential areas have a higher priorit…
No prominent works on this page.
Progressive Collapse of Dual-Line Rivers Based on River Segmentation Considering Cartographic Generalization Rules
Collapse is a common cartographic generalization operation in multi-scale representation and cascade updating of vector spatial data. During transformation from large- to small-scale, the dual-line river shows progressive collapse from narrow river segment to line. The demand for vector spatial data with various scales is increasing; however, research on the progressive collapse of dual-line rivers is lacking. Therefore, we proposed a progressive…
Road Network Generalization Method Constrained by Residential Areas
Residential areas and road networks have a strong geographical correlation. The development of a single geographical feature could destroy the geographical correlation. It is necessary to establish collaborative generalization models suitable for multiple features. However, existing road network generalization methods for mapping purposes do not fully consider residential areas. Compared with road networks, residential areas have a higher priorit…
A Contour Line Group Simplification Method Based on Classified Terrain Features
Contour line group simplification methods can effectively preserve terrain features during map making and producing. This process involves two main steps, namely terrain feature line extraction and contour bend selection. The terrain feature line extraction includes two steps, that is, terrain feature point extraction and classification, and terrain feature line connection. However, to date, many similar studies have not considered the hierarchy …
Leveraging Deep Convolutional Neural Network for Point Symbol Recognition in Scanned Topographic Maps
Point symbols on a scanned topographic map (STM) provide crucial geographic information. However, point symbol recognition entails high complexity and uncertainty owing to the stickiness of map elements and singularity of symbol structures. Therefore, extracting point symbols from STMs is challenging. Currently, point symbol recognition is performed primarily through pattern recognition methods that have low accuracy and efficiency. To address th…
Uropathogen profiles and their antimicrobial resistance patterns in patients
Background Urinary tract infection (UTI) is the most common infection requiring empiric antibiotic treatment. Due to the increased antibiotic resistance of uropathogens and their regional variation, monitoring pathogen distribution and antimicrobial susceptibility is important to ensure effective antibiotic therapy. This retrospective study analyzed the 3-year-long uropathogen profiles and their resistance from a single tertiary general hospital …
Computer Science (5 works) · Artificial Intelligence (4 works) · Geography (4 works) · Mathematics (4 works) · Automated Road and Building Extraction (3 works) · Cartography (3 works) · Geographic Information Systems Studies (3 works) · Cartographic generalization (2 works) · Generalization (2 works) · Geology (2 works)