A5019493695- Geographic Information Systems Studies
- Human Mobility and Location-Based Analysis
- Remote Sensing and Land Use
- Land Use and Ecosystem Services
- Automated Road and Building Extraction
- Remote Sensing and LiDAR Applications
- Data Management and Algorithms
- Advanced Computational Techniques and Applications
- Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Suicide and Self-Harm Studies
- Software System Performance and Reliability
- IoT and Edge/Fog Computing
- Steroid Chemistry and Biochemistry
- Innovation and Socioeconomic Development
- Plant Molecular Biology Research
- Urban Transport and Accessibility
- Advanced Algorithms and Applications
- Environmental Changes in China
- Plant Stress Responses and Tolerance
- Cloud Computing and Resource Management
- Treatment of Major Depression
- Psychosomatic Disorders and Their Treatments
- Plant Gene Expression Analysis
- Service-Oriented Architecture and Web Services
- Ideological and Political Education
Shenzhen Sixth People's Hospital
2024
Nanning Normal University
2011-2024
ShenZhen People’s Hospital
2024
Anhui Agricultural University
2019
Sun Yat-sen University
2017
Sichuan University
2010
The identification of urban spatial functional units is great significance in planning, construction, management, and services. Conventional field surveys are labour-intensive time-consuming, while the abundant data available via internet provide a new way to identify functions. A major issue determining point interest (POI) weights zone using POI data. Along these lines, this work proposed recognition method based on combined with machine learning. First, relationship between function types...
Knowing the functions of buildings is valuable in urban planning and management. For example, it can be used for assessment implementation fine-tuning community governance. At large scales, determining building time-consuming laborious. While point interest (POI) data to identify functions, prone missing values. The present study proposes combining POIs with spatial relationships between geographic entities information systems (GIS) improve accuracy function identification. First, are...
Entity matching is one of the key technologies for geospatial data update and fusion. In response to shortcomings most spatial entity methods that use local optimisation strategies, a global method multi-representation buildings using road network constraints proposed. First, used region segmentation obtain candidate matches. Second, similarity among objects calculated characteristic weights are determined entropy weight method. Third, building entities transformed into an allocation problem...
Recognizing building group patterns is fundamental to numerous fields, such as urban landscape evaluation, social analysis, and map generalization. Despite the increasing number of algorithms available for pattern recognition, there still a lack satisfactory grouping results due insufficient information only geometric features being provided recognition methods. This study aims provide novel method that combines function information. We specifically focus on process recognizing groups in...
Multi-scale object matching is the key technology for upgrading feature cascade and integrating multi-source spatial data. Considering distinctiveness of data at different scales, present study selects residential areas in a multi-scale database as research objects focuses on characteristic similarities. This adopts method merging with no simplification, clarifies all pairs that lack one-to-one relationships places them into pairs, conducts similarity measurements five characteristics (i.e.,...
Building pattern recognition is fundamental to a wide range of downstream applications, such as urban landscape evaluation, social analyses, and map generalization. Although many studies have been conducted, there still lack satisfactory results, due the imprecision relative direction model any two adjacent buildings ineffective extraction methods. This study aims provide an alternative for quantifying spatial continuity on basis Delaunay triangulation linear building patterns. First,...
Urban commuting characteristics have important implications for both the spatial planning and governance of cities. However, traditional methods surveying are very time- labour-intensive, with results susceptible to subjective influences. In this work, taking central city Nanning as research object, space population was constructed on grid-block-subdistrict scale, distribution were systematically analysed. addition, influencing factors volume explored by combining multi-source spatiotemporal...
Abstract The contour line is one of the basic elements a topographic map. Existing simplification methods are generally applied to maps without topological errors. However, lines acquired from digital elevation model (DEM) may contain errors before simplification. Targeted at with errors, progressive method based on two‐level Bellman–Ford algorithm proposed in this study. Simplified and error bands were extracted DEM. initially simplified (BF) algorithm. then segmented using vertices initial...
Thyroid dysfunction is commonly seen in major depressive disorder (MDD), and particularly prevalent female patients. Moreover, gender differences occur many aspects of MDD, including suicide attempts (SAs). We aimed to explore the prevalence clinical correlates SAs young first-episode drug-naïve MDD patients with thyroid dysfunction, which have not yet been reported. recruited 509 this study. Demographic characteristics were collected. used HAMD-17, HAMA-14, positive subscale PANSS, CGI-S...
As Digital Campus applications gaining momentum, the complexity of IT infrastructure on campus network, resource utilization efficiency, security control and data backup impose increased difficulties. In this paper, an analysis is conducted virtualization technology including virtual server, storage, network for to cast down maintenance costs, improve equipment simplify management, ultimately realize construction a digital network.