Article
Computer Science, Interdisciplinary Applications
Conrad Boton, Louis Rivest, Sylvain Kubicki, Oussama Ghnaya
Summary: This paper presents a systematic literature review on 4D simulation in the construction industry, analyzing keywords and author communities to provide new insights into this research domain.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Abdelhady Hosny, Mazdak Nik-Bakht, Osama Moselhi
Summary: The global construction industry has been impacted by the COVID-19 pandemic, leading to new health, safety, and environmental protocols including social distancing. The new awareness from this experiment is expected to reshape the new normal in construction, emphasizing the need for physical distancing.
JOURNAL OF COMPUTING IN CIVIL ENGINEERING
(2022)
Article
Materials Science, Paper & Wood
Wenping Chen, Jing Liu, Yiming Fang, Jianyong Zhao
Summary: A framework for timber knot detection is proposed in this study. Faster R-CNN algorithm is employed for detecting timber knots, and an overlapping bounding box filter is proposed to reduce the false positive frequency. The experimental results showed an improvement in detection precision from 90.9% to 97.5% by filtering the overlapping bounding box. This framework is competitive and has potential applications for timber grading.
Article
Management
James Crowther, Saheed O. Ajayi
Summary: This study investigated the impacts of 4D building information modeling (BIM) on construction projects and found significant benefits in terms of project reliability, monitoring, and diagnosis. However, issues such as lack of shared responsibility, limited understanding and training regarding 4D BIM, and complexity in effective implementation were also highlighted.
INTERNATIONAL JOURNAL OF CONSTRUCTION MANAGEMENT
(2021)
Proceedings Paper
Green & Sustainable Science & Technology
Chae-Yeon Kim, Jae-Sung Lee, Ho-Young Roh, Eul-Bum Lee
Summary: This paper presents a method of using pre-simulations with 4D BIM to improve the reconstruction project of an oxygen plant for a steel works in Korea. The simulations help predict potential construction delays and provide prioritized ranks of activities to reduce duration. The 4D BIM-based simulations also reflect safety factors and enable the visualization and management of hazard elements.
CIGOS 2021, EMERGING TECHNOLOGIES AND APPLICATIONS FOR GREEN INFRASTRUCTURE
(2022)
Article
Construction & Building Technology
Leen Seok Kang, Hyoun Seok Moon, Nashwan Dawood, Min Su Kang
AUTOMATION IN CONSTRUCTION
(2010)
Article
Construction & Building Technology
Tracey Crosbie, Nashwan Dawood, Saad Dawood
AUTOMATION IN CONSTRUCTION
(2011)
Article
Computer Science, Interdisciplinary Applications
Ammar Al-Bazi, Nashwan Dawood
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
(2010)
Article
Construction & Building Technology
Saad Dawood, Tracey Crosbie, Nashwan Dawood, Richard Lord
SUSTAINABLE CITIES AND SOCIETY
(2013)
Article
Engineering, Industrial
Nashwan Dawood
ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT
(2010)
Article
Engineering, Industrial
A. Shebob, N. Dawood, R. Shah, Q. Xu
ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT
(2012)
Article
Engineering, Civil
Subarna Sivashanmugam, Sergio Rodriguez, Farzad Rahimian, Nashwan Dawood
Summary: The construction sector is transitioning from a linear to a circular approach to reduce the environmental impacts of excessive raw material consumption and waste generation. In the UK, while landfill disposal of construction waste is decreasing, waste generation remains high. Understanding the challenges faced by the industry is crucial to prevent waste generation and carbon dioxide emissions.
PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-CIVIL ENGINEERING
(2022)
Proceedings Paper
Computer Science, Theory & Methods
Nashwan Dawood, Jeoffrey Miller, Nobuyoshi Yabuki
COOPERATIVE DESIGN, VISUALIZATION, AND ENGINEERING (CDVE)
(2012)
Article
Engineering, Civil
Rajiv Chavada, Nashwan Dawood, Mohamad Kassem
JOURNAL OF INFORMATION TECHNOLOGY IN CONSTRUCTION
(2012)
Article
Engineering, Civil
Hanne Grindvoll, Ovidiu Vermesan, Tracey Crosbie, Roy Bahr, Nashwan Dawood, Gian Marco Revel
JOURNAL OF INFORMATION TECHNOLOGY IN CONSTRUCTION
(2012)
Article
Business
Mohamad Kassem, Nashwan Dawood, Donald Mitchell
CONSTRUCTION MANAGEMENT AND ECONOMICS
(2012)
Article
Engineering, Civil
Mohamad Kassem, Nashwan Dawood, Donald Mitchell
JOURNAL OF INFORMATION TECHNOLOGY IN CONSTRUCTION
(2011)
Article
Business
Raj Kapur Shah, Nashwan Dawood
CONSTRUCTION MANAGEMENT AND ECONOMICS
(2011)
Article
Environmental Studies
Tracey Crosbie, Nashwan Dawood, John Dean
MANAGEMENT OF ENVIRONMENTAL QUALITY
(2010)
Article
Computer Science, Artificial Intelligence
Fangyu Chen, Yongchang Wei, Hongchang Ji, Gangyan Xu
Summary: This paper introduces a dual-layer network analytical framework for evaluating standard systems in construction safety management and validates its effectiveness through a case study. The research findings suggest that key standards often encompass a wider array of risks, providing suggestions for revising construction standards.
ADVANCED ENGINEERING INFORMATICS
(2024)
Article
Computer Science, Artificial Intelligence
Minghao Li, Qiubing Ren, Mingchao Li, Ting Kong, Heng Li, Huijing Tian, Shiyuan Liu
Summary: This study proposes a method using digital twin technology to construct a collision early warning system for marine piling. The system utilizes a five-dimensional model and four independently maintainable development modules to maximize its effectiveness. The pile positioning algorithm and collision early warning algorithm are capable of providing warnings for complex pile groups.
ADVANCED ENGINEERING INFORMATICS
(2024)
Article
Computer Science, Artificial Intelligence
Seokhyun Ryu, Sungjoo Lee
Summary: This study proposes the use of patent information to develop a robust technology tree and applies it to the furniture manufacturing process. Through methods such as clustering analysis, semantic analysis, and association-rule mining, technological attributes and their relationships are extracted and analyzed. This approach provides meaningful information to improve the understanding of a target technology and supports research and development planning.
ADVANCED ENGINEERING INFORMATICS
(2024)
Article
Computer Science, Artificial Intelligence
Shuai Ma, Kechen Song, Menghui Niu, Hongkun Tian, Yanyan Wang, Yunhui Yan
Summary: This paper proposes a feature-based domain disentanglement and randomization (FDDR) framework to improve the generalization of deep models in unseen datasets. The framework successfully addresses the appearance difference issue between training and test images by decomposing the defect image into domain-invariant structural features and domain-specific style features. It also utilizes randomly generated samples for training to further expand the training sample.
ADVANCED ENGINEERING INFORMATICS
(2024)
Article
Computer Science, Artificial Intelligence
Fang Xu, Tianyu Zhou, Hengxu You, Jing Du
Summary: This study explores the impact of AR-based egocentric perspectives on indoor wayfinding performance. The results reveal that participants using the egocentric perspective demonstrate improved efficiency, reduced cognitive load, and enhanced spatial awareness in indoor navigation tasks.
ADVANCED ENGINEERING INFORMATICS
(2024)
Review
Computer Science, Artificial Intelligence
Yujie Lu, Shuo Wang, Sensen Fan, Jiahui Lu, Peixian Li, Pingbo Tang
Summary: Image-based 3D reconstruction plays a crucial role in civil engineering by bridging the gap between physical objects and as-built models. This study provides a comprehensive summary of the field over the past decade, highlighting its interdisciplinary nature and integration of various technologies such as photogrammetry, 3D point cloud analysis, semantic segmentation, and deep learning. The proposed 3D reconstruction knowledge framework outlines the essential elements, use phases, and reconstruction scales, and identifies eight future research directions. This review is valuable for scholars interested in the current state and future trends of image-based 3D reconstruction in civil engineering, particularly in relation to deep learning methods.
ADVANCED ENGINEERING INFORMATICS
(2024)
Article
Computer Science, Artificial Intelligence
Hang Zhang, Wenhu Wang, Shusheng Zhang, Yajun Zhang, Jingtao Zhou, Zhen Wang, Bo Huang, Rui Huang
Summary: This paper presents a novel framework for segmenting intersecting machining features using deep reinforcement learning. The framework enhances the effectiveness of intersecting machining feature segmentation by leveraging the robust feature representation, decision-making, and automatic learning capabilities of deep reinforcement learning. Experimental results demonstrate that the proposed approach successfully addresses some existing challenges faced by several state-of-the-art methods in intersecting machining feature segmentation.
ADVANCED ENGINEERING INFORMATICS
(2024)
Article
Computer Science, Artificial Intelligence
Chao Zhao, Weiming Shen
Summary: This paper proposes a semantic-discriminative augmentation-driven network for imbalanced domain generalization fault diagnosis, which enhances the model's generalization capabilities through synthesizing reliable samples and optimizing representations.
ADVANCED ENGINEERING INFORMATICS
(2024)
Article
Computer Science, Artificial Intelligence
Ching-Chih Chang, Teng-Wen Chang, Hsin-Yi Huang, Shih-Ting Tsai
Summary: Ideation is the process of generating ideas through exploring visual and semantic stimuli for creative problem-solving. This process often requires changes in user goals and insights. Using pre-designed content and semantic-visual concepts for ideation can introduce uncertainty. An adaptive workflow is proposed in this study that involves extracting and summarizing semantic-visual features, using clusters of adapted information for multi-label classification, and constructing a design exploration model with visualization and exploration.
ADVANCED ENGINEERING INFORMATICS
(2024)
Article
Computer Science, Artificial Intelligence
Zhen Wang, Shusheng Zhang, Hang Zhang, Yajun Zhang, Jiachen Liang, Rui Huang, Bo Huang
Summary: This research proposes a novel approach for machining feature process planning using graph convolutional neural networks. By representing part information with attribute graphs and constructing a learning model, the proposed method achieves higher accuracy and resolves current limitations in machining feature process planning.
ADVANCED ENGINEERING INFORMATICS
(2024)
Article
Computer Science, Artificial Intelligence
Hong-Wei Xu, Wei Qin, Jin-Hua Hu, Yan-Ning Sun, You -Long Lv, Jie Zhang
Summary: Wafer fabrication is a complex manufacturing system, where understanding the correlation between parameters is crucial for identifying the cause of wafer defects. This study proposes a Copula network deconvolution-based framework for separating direct correlations, which involves constructing a complex network correlation diagram and designing a nonlinear correlation metric model. The proposed method enables explainable fault detection by identifying direct correlations.
ADVANCED ENGINEERING INFORMATICS
(2024)
Article
Computer Science, Artificial Intelligence
Yida Hong, Wenqiang Li, Chuanxiao Li, Hai Xiang, Sitong Ling
Summary: An adaptive push method based on feature transfer is proposed to address sparsity and cold start issues in product intelligent design. By constructing a collaborative filtering algorithm model and transforming the rating model, the method successfully alleviates data sparsity and cold start problems.
ADVANCED ENGINEERING INFORMATICS
(2024)
Article
Computer Science, Artificial Intelligence
Hairui Fang, Jialin An, Bo Sun, Dongsheng Chen, Jingyu Bai, Han Liu, Jiawei Xiang, Wenjie Bai, Dong Wang, Siyuan Fan, Chuanfei Hu, Fir Dunkin, Yingjie Wu
Summary: This work proposes a model for real-time fault diagnosis and distance localization on edge computing devices, achieving lightweight design and high accuracy in complex environments. It also demonstrates a high frame rate on edge computing devices, providing a novel solution for industrial practice.
ADVANCED ENGINEERING INFORMATICS
(2024)
Article
Computer Science, Artificial Intelligence
Yujun Jiao, Xukai Zhai, Luyajing Peng, Junkai Liu, Yang Liang, Zhishuai Yin
Summary: This paper proposes a digital twin-based motion forecasting framework that predicts the future trajectories of workers on construction sites, accurately predicting workers' motions in potential risk scenarios.
ADVANCED ENGINEERING INFORMATICS
(2024)
Article
Computer Science, Artificial Intelligence
Ling-Zhe Zhang, Xiang-Dong Huang, Yan-Kai Wang, Jia-Lin Qiao, Shao-Xu Song, Jian-Min Wang
Summary: Time-series DBMSs based on the LSM-tree have been widely applied in various scenarios. The characteristics of time-series data workload pose challenges to efficient queries. To address issues like query latency and inaccurate range, we propose a novel compaction algorithm called Time-Tiered Compaction.
ADVANCED ENGINEERING INFORMATICS
(2024)