Abstract Feelings of inferiority are complex emotions that usually indicate perceived weakness and helplessness. A lack timely effective interventions may bring serious consequences to individuals with feelings. Due privacy concerns, those people often hesitate seek face-to-face help, but they spontaneously share their feelings on social media, which makes media a good resource for ample inferiority-related data. We randomly selected sample posts indicating explore the causes inferiority....

The rapid development and increasing availability of high-resolution satellite (HRS) images provides increased opportunities to monitor large scale land cover. However, inefficiency excessive independence on expert knowledge limits the usage HRS a scale. As organization representation method, ontology can assist in improving efficiency automatic or semi-automatic cover information extraction, especially for images. This paper presents an ontology-based framework that was used model...

Building Information Modeling (BIM) has catalyzed transformative shifts across various industries, which sparked broader research interests in the BIM lifecycle. However, studies that specify stated requirements for different technologies and methodologies from perspective of lifecycle analyze hotspots future trends at each stage are scarce. Employing scientometric theories methods, this study conducts an in-depth comparative analysis stages. The encompasses several aspects like annual...

Traffic surveillance can be used to monitor and collect the traffic condition data of road networks, which plays an important role in a wide range applications intelligent transportation systems (ITSs). Accurately rapidly detecting counting vehicles videos is one main problems surveillance. Traditional video-based vehicle detection methods, such as background subtraction, frame difference, optical flow have some limitations accuracy or efficiency. In this paper, deep learning applied for...

The ecological risk assessment of land ecosystems plays a vital role in environment protection and management China. To identify the impairment ecosystems, regional ecology was conducted Daye, traditional mining city Central China, using relative model (RRM). study area divided into six sub-regions; sources, stressors, habitats, end points were identified. A conceptual built to represent interactions among components. Results showed following: (1) iron–coal sub-region mineral processing...

Automatic point-feature label placement (PFLP) is a fundamental task for map visualization. As the dominant solutions to PFLP problem, fixed-position and slider models have been widely studied in previous research. However, candidate labels generated with these are set certain fixed positions or specified track line sliding. Thus, whole surrounding space of point feature not sufficiently used labeling. Hence, this paper proposes novel model based on region movability, which comes from plane...

Georeferencing by place names (known as toponyms) is the most common way of associating textual information with geographic locations. While computers use numeric coordinates (such longitude-latitude pairs) to represent places, people generally refer places via their toponyms. Query toponym an effective find about a area. However, segmenting and parsing addresses extract local toponyms difficult task in geocoding field, especially China. In this paper, spatial context-based framework...

Urban modeling and visualization are highly useful in the development of smart cities. Buildings most prominent features urban environment, necessary for decision support; thus, buildings should be modeled effectively efficiently three dimensions (3D). In this study, with help Gaofen-7 (GF-7) high-resolution stereo mapping satellite double-line camera (DLC) images multispectral (MUX) images, boundary a building is segmented via multilevel fusion network (MFFN). A digital surface model (DSM)...

Three-dimensional (3D) high-fidelity building models are crucial for digital twin cities. Multi-scale modeling is accurately capturing the complexity of urban environments; however, existing methods often lack flexibility required to satisfy varied demands diverse applications. In this paper, we propose a framework continuously simplify 3D models, it dynamically adjusts mesh accuracy meet needs, enabling seamless transitions from high-poly medium and low-poly meshes. Our method contains...

The need for integrating geospatial information (GI) data from various heterogeneous sources has seen increased importance geographic system (GIS) interoperability. Using domain ontologies to clarify and integrate the semantics of is considered as a crucial step successful semantic integration in GI domain. Nevertheless, mechanisms are still needed facilitate mapping between described different natural languages. This research establishes formal ontology model cross-lingual mapping. By first...

Colorectal cancer is a major public health problem for its contribution to morbidity and mortality globally, one of inducements diet. Despite the achievements in correlation studies about dietary habit colorectal cancer, as an important component habit, taste preference has not received enough attention, quantitative relationship with been fully revealed. Using data from crowdsourced recipes, restaurant points interest, regional rates, this study quantitatively analysed effects different...

The diverse, heterogeneous, and dynamic nature of urban data poses challenges for semantic integration knowledge sharing in smart city applications. Traditional governance sectors often develop domain-specific standards, which are insufficient integrating applying multi-source heterogeneous data. This article proposes the Smart City Ontology Framework (SMOF), leveraging ontology technology semantic-level interoperability across different industries. SMOF adopts a top-down strategy,...

Improving emergency management capabilities is vital for sustainable cities. However, urban a complex, giant system that interacts between virtual and real spaces, requiring simulation in the space feedback to space. The digital twin model can potentially play an important role this process, but still faces significant challenges terms of modeling, simulation, visualization. In study, we propose digital-twin-based multi-scale method take epidemic transmission as case study. First,...

(1) Background: The smart city management system, with GIS technology as its core, is based on realistic visualization of multiple types 3D model data syntheses. However, the efficiency barriers to achieving smooth and continuous from outdoor scenes small indoor remain a challenge. (2) Methods: This paper uses visibility prediction method obtain potential visual sets at three levels—outdoor, connection, indoor—and constructs an R-tree spatial index structure for organizing sets. By...