A5061497592- 3D Surveying and Cultural Heritage
- Remote Sensing and LiDAR Applications
- Construction Project Management and Performance
- 3D Modeling in Geospatial Applications
- BIM and Construction Integration
- Global trade and economics
- Remote Sensing in Agriculture
- Remote Sensing and Land Use
- International Business and FDI
- Adaptive optics and wavefront sensing
- Image and Signal Denoising Methods
- 3D Shape Modeling and Analysis
- Merger and Competition Analysis
- Industrial Vision Systems and Defect Detection
- Research, Science, and Academia
- Anomaly Detection Techniques and Applications
- Language, Metaphor, and Cognition
- Natural Language Processing Techniques
- Land Use and Ecosystem Services
- Seismic Waves and Analysis
- Advanced Text Analysis Techniques
- Sustainable Supply Chain Management
- Hydrology and Watershed Management Studies
- Environmental Sustainability in Business
- Water Resources and Management
Beijing Normal University
2011-2023
University of Toronto
2021
Peking University
2021
Henan University
2020
Brunel University of London
2019
China University of Petroleum, Beijing
2019
Queen's University Belfast
2018
Tsinghua University
2011-2016
University of Nottingham
2014
State Key Laboratory of Remote Sensing Science
2012
We document a prominent abnormal stock return of –14% during the [–120, +20] day window around 482 lockup expirations in split‐share structure reform China. The returns (selling volumes) are positively (negatively) correlated with firm information transparency and postreform performance improvement, but negatively (positively) related to level agency problems, suggesting existence information‐based trading lockups. present important evidence that institutional investors, especially mutual...
Outsourcing remanufacturing is an important way to achieve resource recycling, green manufacturing and carbon neutrality goals. To analyze the impact of trade on manufacturing/remanufacturing under outsourcing remanufacturing, this article builds a game model between original equipment manufacturer (OEM) remanufacturer policy. In model, compares policy unit retail price, sales volume, revenue, environmental impact, consumer surplus new remanufactured products. The research mainly draws...
Abstract In source detection in the Tianlai project, locating interferometric fringe visibility data accurately will influence downstream tasks drastically, such as physical parameter estimation and weak exploration. Considering that traditional methods are time-consuming supervised require a great quantity of expensive labeled data, this paper, we first investigate characteristics fringes simulation real scenario separately, integrate an almost parameter-free unsupervised clustering method...
Knowledge is the resource that contributes most to an organisation’s competitiveness. Construction projects usually introduce project teams from different disciplines. Hence, knowledge in complex and difficult manage. To efficiently manage projects, various strategies tools have been applied over years support management (KM). Building information modelling (BIM) a technology has recently gained lot of attention construction industry. The main feature BIM object-oriented parametric with...
China is the fastest urbanizing area in world. Nowadays, increasingly complex urban systems not only create more socioeconomic output (such as GDP), but also bring infrastructural costs, which intensifies contradiction between large populations and relatively scarce resources. Thus, research has to focus on efficiency toward efficient, inclusive, sustainable urbanization instead of size. Aiming at "land" man-land relationship, size mainly explores location factors. However, proposed by...
In this article, we present an intelligent framework for 5G new radio (NR) indoor positioning under a monostatic configuration. The primary objective is to estimate both the angle of arrival and time simultaneously. This requires capturing pertinent information from antenna subcarrier dimensions receive signals. To tackle challenges posed by intricacy high-dimensional matrix, coupled with impact irregular array errors, design deep learning scheme. Recognizing that phase difference between...
The construction industry has increasingly realised the importance of knowledge.Accordingly, various strategies and tools have been applied over years to support knowledge management (KM).In particular, building information modelling (BIM) is a technology that recently emerged in industry.BIM an object-oriented parametric-based tool with features digital visualisation, life cycle simulation, coordination collaborative environment.Consequently, many studies conducted explore these four...
Current multi-object tracking (MOT) aims to predict trajectories of targets (i.e.,"where") in videos. Yet, knowing merely "where" is insufficient many crucial applications. In comparison, semantic understanding such as fine-grained behaviors, interactions, and overall summarized captions (i.e., "what") from videos, associated with "where", highly-desired for comprehensive video analysis. Thus motivated, we introduce Semantic Multi-Object Tracking (SMOT), that estimate object meanwhile...
Abstract ABC field is located in offshore Peninsula Malaysia where recently a redevelopment project was undertaken to target the unswept oil via drilling horizontal wells. Offset well’s performance suggested highly dynamic fluid contact movement with reservoir sweep being non-uniform. Fluid types were expected have low resistivity contrast and vertical depth uncertainty of structure adding complexity landing section drilling. A multi-disciplinary approach synergy geosteering vital optimize...
For Zhanghe areas, we utilized the Landsat5 TM images of 2010 to complete region's land use classification based on maximum likelihood method. Analyzing constraints in research area, our method includes 4 aspects: cloud and hillshade were classified at first then reprocessed separately; water body was combining supervised interactive interpretation; cities villages distinguished prior knowledge; slope hierarchy arable accomplished by study area decision tree. 67% regions interest (ROIs)...
Abstract. Sustainable development requires monitoring the state and changes of city providing appropriate information to users anytime anywhere. This paper takes Ningbo City as research area, by utilizing two temporal (March 25, 2012 November 2013) ZY-3 satellite remote sensing data. 3S technology is used for urban grid management. The extraction includes: building change information, green space water analysis eutrophication correspondingly. When extracting we take "change information" a...
A novel element FEdge, containing geometric and textured information, is proposed for geometry texture coupled generalization of urban buildings, in relation to legibility roads, districts, landmarks. In order take into account characteristics different footprints better, we cluster building by creating their positive buffers preserve roads at desired levels detail. For each cluster, due similarity with district, the regular shaped buffer polygon used aid extracting generalized footprint. To...
In order to solve the problem of data shortages resulting from long revisit period and cloud contamination in high resolution imagery, this paper proposed a fusion model for generating spatial temporal images based on semi-physical method improved ESTARFM(enhanced adaptive reflectance model). The result shows that new can produce more precise than ESTARFM take full use data.