Bing Wu

ORCID: 0000-0002-3426-8879
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About
Contact & Profiles
Research Areas
  • Maritime Navigation and Safety
  • Risk and Safety Analysis
  • Structural Integrity and Reliability Analysis
  • Maritime Ports and Logistics
  • Ship Hydrodynamics and Maneuverability
  • Maritime Transport Emissions and Efficiency
  • Occupational Health and Safety Research
  • Semantic Web and Ontologies
  • Oil Spill Detection and Mitigation
  • Robotic Path Planning Algorithms
  • Distributed and Parallel Computing Systems
  • Advanced Database Systems and Queries
  • Remote Sensing and Land Use
  • Traffic Prediction and Management Techniques
  • Advanced Surface Polishing Techniques
  • Software System Performance and Reliability
  • Marine and Coastal Research
  • Advanced Computational Techniques and Applications
  • Spatial Cognition and Navigation
  • Evaluation Methods in Various Fields
  • Advanced Neural Network Applications
  • Software Engineering Research
  • Augmented Reality Applications
  • Multi-Criteria Decision Making
  • Underwater Vehicles and Communication Systems

Wuhan University of Technology
2016-2025

Taiyuan University of Technology
2004-2025

University of Iceland
2025

Harbin Institute of Technology
2019-2025

China Ocean Shipping (China)
2023-2024

State Key Laboratory of Pollution Control and Resource Reuse
2022-2024

Nanjing University
2022-2024

Southern University of Science and Technology
2024

Beijing Information Science & Technology University
2024

Shenyang University of Technology
2023-2024

The efficient and accurate prediction of building energy consumption can improve the management power systems. In this paper, rough set theory was used to reduce redundant influencing factors find critical consumption. These key were then as input a deep neural network with "deep" architecture powerful capabilities in extracting features. Building is output network. This study collected data from 100 civil public buildings for reduction, laboratory university Dalian nearly year train test...

10.1016/j.enbuild.2021.110886 article EN cc-by Energy and Buildings 2021-03-10

Human-autonomy collaboration plays a pivotal role in the development of Maritime autonomous surface ships (MASS), as Shore control center (SCC) operators may engage loop by directly operating MASS, or, supervisory loop, monitoring MASS and taking over when needed. Thus, efficient human performance during takeover operation is crucial for safety operations. However, since still early phase development, mechanism errors unknown, data on human-autonomy collaborative scarce. Human reliability...

10.1016/j.ress.2024.110080 article EN cc-by Reliability Engineering & System Safety 2024-03-14

A legacy information system represents a massive, long-term business investment. Unfortunately, such systems are often brittle, slow and non-extensible. Capturing data in way that can support organizations into the future is an important but relatively new research area. The authors offer overview of existing present two promising methodologies for migration.

10.1109/52.795108 article EN IEEE Software 1999-01-01

Abstract This article proposes a modified cognitive reliability and error analysis method (CREAM) for estimating the human probability in maritime accident process on basis of an evidential reasoning approach. CREAM is developed to precisely quantify linguistic variables common performance conditions overcome problem ignoring uncertainty caused by incomplete information existing models. Moreover, this views development from sequential perspective, where scenario‐ barrier‐based framework...

10.1111/risa.12757 article EN Risk Analysis 2017-01-09

10.1016/j.ijdrr.2018.10.019 article EN International Journal of Disaster Risk Reduction 2018-10-31

Due to the equipment failure and inappropriate operation strategy, it is often difficult achieve energy-efficient building. Anomaly detection of building energy consumption one important approaches improve energy-saving. The great amounts data collected by monitoring platforms (BEMS) provides potentials in using mining technology for anomaly detection. This study proposes a dynamic algorithm data, which realizes point anomalies collective anomalies. integrates unsupervised clustering with...

10.1016/j.energy.2022.125575 article EN cc-by Energy 2022-10-04

This paper proposes an approach to estimate ship dynamic features (i.e., speed and heading) using radar sequential images, which can be used assess the ship-ship collision risk in vessel traffic service (VTS) center. The proposed estimates heading three steps, including detection, tracking, data fusion. First, target, together with its center coordinate, is detected by introducing background subtraction detector each image. Second, position one frame mapped consecutive frame, trajectory...

10.1109/tits.2023.3281547 article EN IEEE Transactions on Intelligent Transportation Systems 2023-06-12

10.1016/j.trd.2013.03.002 article EN Transportation Research Part D Transport and Environment 2013-04-02
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