Article
Chemistry, Multidisciplinary
Ghasan Alfalah, Munther Al-Shalwi, Nehal Elshaboury, Abobakr Al-Sakkaf, Othman Alshamrani, Altyeb Qassim
Summary: Fires pose significant risks to life, property, and the economy. Traditional fire safety assessment methods are laborious and challenging, hindering the identification of fire hazards and optimal safety measures. This research introduces an analytic hierarchy process for assessing building fire safety, supported by case studies that demonstrate its superiority over conventional techniques. The proposed method provides hazard and safety ratings, yielding comprehensible and comparable results, making it a valuable decision-making tool for enhancing fire safety in buildings.
APPLIED SCIENCES-BASEL
(2023)
Article
Mathematics
Chin-Yi Chen, Jih-Jeng Huang
Summary: This paper presents an innovative method that integrates dynamic Bayesian networks (DBNs) with the analytic hierarchy process (AHP) to model dynamic interdependencies between criteria in multi-criteria decision-making (MCDM) problems. The proposed method extends the AHP to accommodate time-dependent issues and reduces to the conventional AHP when ignoring specific information, making it a more general AHP model.
Review
Mathematics
Sangeeta Pant, Anuj Kumar, Mangey Ram, Yury Klochkov, Hitesh Kumar Sharma
Summary: This article provides a brief review of the consistency measures in AHP and the functional relationships among different consistency indices. It also offers some thoughtful research directions for further development and improvement of AHP.
Article
Public, Environmental & Occupational Health
Shiqian Wang, Lin Li, Yanjun Jin, Rui Liao, Yen-Ching Chuang, Zhong Zhu
Summary: A model was developed to evaluate and identify key factors contributing to burnout in orthopedic surgeons, providing guidance for managing burnout in hospitals. The model used the analytic hierarchy process (AHP) with 3 dimensions and 10 sub-criteria based on literature review and expert assessment. Expert and purposive sampling was conducted, and 17 orthopedic surgeons were selected as research subjects. The results showed that the personal/family dimension was the key factor affecting burnout, with the top four sub-criteria being little time for family, anxiety about clinical competence, work-family conflict, and heavy work load.
INTERNATIONAL JOURNAL OF PUBLIC HEALTH
(2023)
Article
Computer Science, Artificial Intelligence
Mojtaba Ashour, Amir Mahdiyar
Summary: Analytic Hierarchy Process (AHP) is a widely applied technique in multi-criteria decision-making problems, but the sheer number of AHP methods presents challenges for scholars and practitioners in selecting the most suitable method. This paper reviews articles published between 2010 and 2023 proposing hybrid, improved, or modified AHP methods, classifies them based on their contributions, and provides a comprehensive summary table and roadmap to guide the method selection process.
APPLIED SOFT COMPUTING
(2024)
Article
Management
Jih-Jeng Huang
Summary: This paper proposes a nested AHP/ANP method to solve the two-stage consumer choice issue and demonstrates a case study to verify the proposed method. The independence of global and local criteria determines whether it is a nested AHP problem or a nested ANP problem.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2022)
Article
Computer Science, Artificial Intelligence
Jih-Jeng Huang, Chin-Yi Chen
Summary: This paper focuses on the issues of path restriction between criteria and the transition functions of the supermatrix in the ANP. It is found that a criterion with a longer path to another criterion should have less influence, which is similar to the conventional ANP. In addition, the inclusion of transition functions in the supermatrix allows for the consideration of non-linear transitions. The numerical examples demonstrate that the proposed method is a generalization of the ANP and reduces to the conventional ANP under certain conditions.
INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING
(2023)
Article
Environmental Sciences
Say Wah Lee, Ke Xue
Summary: This study used an integrated approach of importance-performance analysis and modified analytic hierarchy process to evaluate the overall sustainability performance of three cities through questionnaires distributed to residents. Implications and future research suggestions were provided based on the findings.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2021)
Article
Engineering, Marine
H. Diaz, A. P. Teixeira, C. Guedes Soares
Summary: A Monte Carlo simulation procedure is developed to select the optimum location of wind farms by combining major decision criteria and subjective judgments from decision-makers. The method utilizes Monte Carlo simulation, conventional Analytic Hierarchy Process, and Fuzzy Analytic Hierarchy Process. It is applied to offshore wind farms in Spain to rank the most suitable turbine positioning locations.
Article
Operations Research & Management Science
Qizhi Liu
Summary: The Saaty analytic network process (Saaty-ANP) is a generalization of the analytic hierarchy process, while the Markov chain-based ANP (MC-ANP) is another decision-making approach suitable for general structures. Both methods use relative measurement and stochastic matrix to solve problems, but Saaty-ANP has some drawbacks that are addressed by MC-ANP.
OPERATIONS RESEARCH PERSPECTIVES
(2022)
Article
Multidisciplinary Sciences
Guangying Jin, Guangzhe Jin
Summary: This paper utilizes MCDM methods for the first time to analyze the selection of fault-diagnosis sensors for Fuel Cell Stack systems, proposing a methodology that combines AHP and TOPSIS to support companies in choosing the optimal sensor solution. The analysis shows that the optimal solution can be mapped to the TOPSIS method to solve the optimization problem, making the fault-diagnosis process of the system more efficient, economical, and safe.
Article
Remote Sensing
Roya Sahraei, Arsalan Ghorbanian, Yousef Kanani-Sadat, Sadegh Jamali, Saeid Homayouni
Summary: This study used a hybrid Fuzzy-DEMATEL-ANP model and geospatial and remote sensing data to identify suitable locations for mangrove plantations in the southern coastal frontiers of Hormozgan, Iran. The results showed that 6.10% and 20.80% of the study area were classified as very-high suitable and very-low suitable areas, respectively, providing guidance for decision-makers and managers in conservation and plantation planning.
GEO-SPATIAL INFORMATION SCIENCE
(2023)
Article
Operations Research & Management Science
M. Gabriela Sava, Luis G. Vargas, Jerrold H. May, James G. Dolan
Summary: The decision-making process often involves limited and incomplete information. In order to understand the impact of additional information on the initial result, a new multi-dimensional stability analysis method was developed. This method allows for the observation of preference changes as criteria weights are perturbed, providing useful stability measures.
ANNALS OF OPERATIONS RESEARCH
(2022)
Review
Computer Science, Information Systems
Sarbast Moslem, Mahyar Kamali Saraji, Abbas Mardani, Ahmad Alkharabsheh, Szabolcs Duleba, Domokos Esztergar-Kiss
Summary: The current study provides a thorough review of transportation problems using the Analytic Hierarchic Process (AHP) and analyzes 58 papers published from 2003 to 2019. The results show that most researchers applied the conventional AHP method to address transportation issues, with public transport being the most critical problem, followed by logistics problems. AHP was commonly integrated with TOPSIS when dealing with multi-criteria transportation problems. The study contributes by extending the use of AHP in decision-making support and positively impacting technological and socio-economic development in the transportation sector.
Article
Environmental Sciences
Li Zhu, Zhonghua Zhao, Yiping Wang, Qunwu Huang, Yong Sun, Dapeng Bi
Summary: This study utilized Analytic Hierarchy Process and Life Cycle Assessment methods to determine evaluation indicators and rankings, proposing a Toilet Assessment Scheme. The results indicated that water conservation, environmental protection, and indoor environmental quality should be prioritized. Additionally, experts had differing emphases on the evaluation scheme based on gender, profession, and generation.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Engineering, Multidisciplinary
Xin Fang, Heng Li, She-rong Zhang, Xiao-hua Wang, Chao Wang, Xiao-chun Luo
Summary: This paper develops advanced deep learning approaches for structural dynamic response prediction and dam health diagnosis. Improved long short-term memory (LSTM) networks are proposed for data-driven analysis of structural dynamic responses. The LSTM-based models are proven to have the potential for quick estimation of structural responses under blast loads. Damage indicators extracted from the predicted velocity histories establish their relationship with the numerical simulation of dam damage. This study provides a deep-learning based framework for quick assessment of dam explosions.
DEFENCE TECHNOLOGY
(2023)
Review
Ergonomics
Maxwell Fordjour Antwi-Afari, Heng Li, Alan Hoi Shou Chan, JoonOh Seo, Shahnawaz Anwer, Hao-Yang Mi, Zezhou Wu, Arnold Yu Lok Wong
Summary: This review systematically analyzed and visualized research on work-related musculoskeletal disorders (WMSDs) among construction workers published between 2000 and 2021. The results identified influential authors and research topics, highlighting the significance of MSDs, ergonomics, and construction in this field. Contributions to WMSD research primarily came from the United States, Hong Kong, and Canada. The review also summarized mainstream research topics, identified research gaps, and proposed future directions.
JOURNAL OF SAFETY RESEARCH
(2023)
Article
Engineering, Electrical & Electronic
Zengcheng Sun, Ping He, Heng Li, Jiannong Cao, Feiqi Deng
Summary: The group consensus of second-order sample multi-agent systems is investigated using a distributed event-triggered mechanism. A consensus protocol is proposed, which is updated only when the event-triggered condition is met and the update only depends on the data collected at the moment of triggering. The sufficient condition for group consensus is obtained, and a differential equation is constructed to avoid the Zeno phenomenon and obtain a minimum positive and lower bound for any two trigger time intervals. The effectiveness is verified through a simulation example.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2023)
Article
Health Care Sciences & Services
Tiffany H. T. Wong, Kaden S. K. Lee, Sharon M. C. Lo, Mandy M. P. Kan, Crystal Kwan, Emmanuelle Opsommer, Shahnawaz Anwer, Heng Li, Arnold Y. L. Wong, Veronika Schoeb
Summary: This study aimed to investigate the experiences, challenges, concerns, and coping strategies of older women with chronic low back pain (CLBP) in Hong Kong. The findings revealed that CLBP has negative impacts on older women's daily life, both physically and psychologically. They adopted various pain management strategies, with some influenced by the Chinese culture. Family support, as well as social activities and support from elderly community centers, were found to be important factors for their management of CLBP.
Article
Health Care Sciences & Services
Melissa Leung, Mandy M. P. Kan, Hugo M. H. Cheng, Diana E. De Carvalho, Shahnawaz Anwer, Heng Li, Arnold Y. L. Wong
Summary: The use of laptops leads to poor working postures and neck pain among university students. Postural braces have the potential to improve upper back/neck posture and may serve as an ergonomic aid for this population.
Article
Engineering, Environmental
Ziwei Qin, Yi Yang, Qingli Tian, Hao-Yang Mi, Heng Li, Runhao Guo, Ying Wang, Chuntai Liu, Changyu Shen
Summary: Developing protective materials with intelligent and stimuli-responsive properties is essential for safety purposes. However, combining contradictory properties into a single polymer is challenging. In this study, a strain-hardening supramolecular polyurethane nanocomposite (SPN) with high mechanical strength and unique impact protection properties is synthesized by incorporating quadruple hydrogen bonds (H-bonds), disulfide bonds, and modified silica nanoparticles into polyurethane elastomer. This SPN material exhibits high energy absorption efficiency and impact protection properties through the dynamic break and re-form characteristic of quadruple H-bonds and the stress dissipation behavior of nanoparticles.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Engineering, Manufacturing
Ziran Du, Cheng Zhou, Hao-Yang Mi, Heng Li, Ziwei Qin, Ruyan Xu, Yaming Wang, Chuntai Liu, Changyu Shen
Summary: High-performance electromagnetic interference (EMI) shielding materials with low reflection are urgently needed to address secondary electromagnetic pollution. This study proposes ecoflex-encased gradient MXene-decorated melamine foams (eGMMFs) to achieve both ultra-low reflection and efficient shielding. By designing a gradual increased gradient MXene conductive network and a reflector of reduced graphene oxide, the eGMMF integrates multiple layers for improved impedance matching, loss, and reflection, resulting in an average shielding efficiency of 78.8 dB and a reflection coefficient (R) of 0.022 in the X-band. A record-low R value of 3.84 x 10(-5) at 11.52 GHz is achieved, surpassing previously reported MXene-based shields. Furthermore, the developed eGMMF exhibits remarkable piezoresistive sensing and anti-impacting performance. This work provides new insights and guidance for the development of multifunctional shielding and absorbing materials.
COMPOSITES PART A-APPLIED SCIENCE AND MANUFACTURING
(2023)
Article
Automation & Control Systems
Xin Fang, Heng Li, Haitao Wu, Lang Fan, Ting Kong, Yue Wu
Summary: This paper introduces a method based on 360 degrees panoramic images and deep learning for fast end-to-end interior progress evaluation. The proposed method takes only one or two 360 degrees panoramic images as input, estimates key corners, generates and registers room layouts, and semantically segments sparse point cloud. The experimental results show that the proposed method achieves comparable performance against those on public data sets.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Automation & Control Systems
Xin Fang, Heng Li, Sherong Zhang, Jikang Zhang, Chao Wang, Xiaohua Wang, Ziao Ma, He Jia
Summary: This study provides an innovative automated underwater inspection analysis scheme using ROV and computer vision techniques to inspect and evaluate the invasion of L. fortunei in water conveyance structures. The scheme improves underwater image quality and accurately detects L. fortunei through image enhancement and segmentation methods.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Green & Sustainable Science & Technology
Pan Zhang, Haitao Wu, Heng Li, Botao Zhong, Ivan W. H. Fung, Yiu Yin Raymond Lee
Summary: Efficient information sharing is crucial for the success of Modular integrated Construction (MiC) projects. Blockchain provides powerful solutions to address information barriers and foster trust among MiC stakeholders. However, the construction industry lacks empirical evidence and is cautious about adopting this disruptive technology. This study uses game theory to examine stakeholders' decision-making processes and identifies key factors influencing their decisions, such as diffusion rate value thresholds, benefits of blockchain adoption, government subsidies, and relevant costs. The study also suggests pilot projects and subsidy or incentive policies to enhance stakeholders' perceived values and promote blockchain adoption in MiC projects.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Construction & Building Technology
Shahnawaz Anwer, Heng Li, Waleed Umer, Maxwell Fordjour Antwi-Afari, Imran Mehmood, Yantao Yu, Carl Haas, Arnold Yu Lok Wong
Summary: This study analyzed heart rate variability (HRV) using nonlinear methods to determine the level of physical fatigue in construction workers. It showed that both linear and nonlinear HRV analyses can be used to detect and classify physical fatigue in construction workers.
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
(2023)
Article
Construction & Building Technology
Zhongya Mei, Maozeng Xu, Heng Li, Zhongyi Huang, Siyu Luo
Summary: Concrete formwork reuse can save costs and reduce resource consumption, and it has recently gained more attention. Cooperation among construction sites in a specific district can facilitate the reuse of idle or underutilized formwork. However, the cooperation method and profit allocation are rarely explored, and the assumption of no contract violations in cooperation is not aligned with reality. This study proposes an applicable cooperation mode that includes optimal alliance establishment, profit allocation based on contracts, and compensation for contract violations.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Engineering, Industrial
Hanyue Yang, Heng Li, Guangbin Wang, Dongping Cao
Summary: This study investigates the impact of employment opportunity and environmental amenity disparities on the interregional migration patterns of construction workers. The findings suggest that the interregional migration of construction workers is primarily driven by disparities in employment opportunities, while disparities in environment amenities play a lesser role.
ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT
(2023)
Article
Engineering, Industrial
Xiaoying Li, Xiujuan Jin, Heng Li, Lulu Gong, Deyang Zhou
Summary: This study investigated the impact of policy interventions on BIM-based project performance. The findings showed that the mandatory BIM policy significantly improved subjective BIM performance and BIM return on investment (ROI). The promotion effect of the policy on BIM-based project performance increased over time, and there was significant heterogeneity in the promotion effect for different stakeholders and organizations of different sizes.
ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT
(2023)
Article
Engineering, Industrial
Tai Wai Kwok, SiWei Chang, Heng Li
Summary: This study investigates client satisfaction with UCWS products in Hong Kong and identifies reduction in construction time and reduction in construction waste as the most important factors influencing client satisfaction.
ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT
(2023)
Article
Construction & Building Technology
Jia Liang, Qipeng Zhang, Xingyu Gu
Summary: A lightweight PCSNet-based segmentation model is developed to address the issues of insufficient performance in feature extraction and boundary loss information. The introduction of generalized Dice loss improves prediction performance, and the visualization of class activation mapping enhances model interpretability.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Gilsu Jeong, Minhyuk Jung, Seongeun Park, Moonseo Park, Changbum Ryan Ahn
Summary: This study introduces a contextual audio-visual approach to recognize multi-equipment activities in tunnel construction sites, improving monitoring effectiveness. Tested against real-world operation data, the model achieved remarkable results, emphasizing the potential of contextual multimodal models in enhancing operational efficiency in complex construction sites.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Jin Wang, Zhigao Zeng, Pradip Kumar Sharma, Osama Alfarraj, Amr Tolba, Jianming Zhang, Lei Wang
Summary: This study presents a dual-path network for pavement crack segmentation, combining Convolutional Neural Network (CNN) and transformer. A lightweight CNN encoder is used for local feature extraction, while a novel transformer encoder integrates high-low frequency attention mechanism and efficient feedforward network for global feature extraction. Additionally, a complementary fusion module is introduced to aggregate intermediate features extracted from both encoders. Evaluation on three datasets confirms the superior performance of the proposed network.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Pierre Gilibert, Romain Mesnil, Olivier Baverel
Summary: This paper introduces a flexible method for crafting 2D assemblies adaptable to various geometric assumptions in the realm of sustainable construction. By utilizing digital fabrication technologies and optimization approaches, precise control over demountable buildings can be achieved, improving mechanical performance and sustainability.
AUTOMATION IN CONSTRUCTION
(2024)
Review
Construction & Building Technology
Jorge Loy-Benitez, Myung Kyu Song, Yo-Hyun Choi, Je-Kyum Lee, Sean Seungwon Lee
Summary: This paper discusses the advancement of tunnel boring machines (TBM) through the application of artificial intelligence. It highlights the significance of AI-based management subsystems for automatic TBM operations and presents recent contributions in this field. The paper evaluates modeling, monitoring, and control subsystems and suggests research paths for integrating existing management subsystems into TBM automation.
AUTOMATION IN CONSTRUCTION
(2024)
Review
Construction & Building Technology
Alireza Shamshiri, Kyeong Rok Ryu, June Young Park
Summary: This paper reviews the application of text mining and natural language processing in the construction field, highlighting the need for automation and minimizing manual tasks. The study identifies potential research opportunities in strengthening overlooked construction aspects, coupling diverse data formats, and leveraging pre-trained language models and reinforcement learning.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Zhengyi Chen, Hao Wang, Keyu Chen, Changhao Song, Xiao Zhang, Boyu Wang, Jack C. P. Cheng
Summary: This study proposes an improved coverage path planning system that leverages building information modeling and robotic configurations to optimize coverage performance in indoor environments. Experimental validation shows the effectiveness and applicability of the system. Future research will focus on further enhancing coverage ratio and optimizing computation time.
AUTOMATION IN CONSTRUCTION
(2024)
Review
Construction & Building Technology
Yonglin Fu, Junjie Chen, Weisheng Lu
Summary: This study presents a review of human-robot collaboration (HRC) in modular construction manufacturing (MCM), focusing on tasks, human roles, and interaction levels. The review found that HRC solutions are applicable to various MCM tasks, with a primary focus on timber component production. It also revealed the diverse collaborative roles humans can play and the varying levels of interaction with robots.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Qiong Liu, Shengbo Cheng, Chang Sun, Kailun Chen, Wengui Li, Vivian W. Y. Tam
Summary: This paper presents an approach to enhance the path-following capability of concrete printing by integrating steel cables into the printed mortar strips, and validates the feasibility and effectiveness of this approach through experiments.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Honghu Chu, Lu Deng, Huaqing Yuan, Lizhi Long, Jingjing Guo
Summary: The study proposes a method called Cascade CATransUNet for high-resolution crack image segmentation. This method combines the coordinate attention mechanism and self-cascaded design to accurately segment cracks. Through a customized feature extraction architecture and an optimized boundary loss function, the proposed method achieves impressive segmentation performance on HR images and demonstrates its practicality in UAV crack detection tasks.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Daniel Lamas, Andres Justo, Mario Soilan, Belen Riveiro
Summary: This paper introduces a new method for creating synthetic point clouds of truss bridges and demonstrates the effectiveness of a deep learning approach for semantic and instance segmentation of these point clouds. The proposed methodology has significant implications for the development of automated inspection and monitoring systems for truss bridges.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Kahyun Jeon, Ghang Lee, Seongmin Yang, Yonghan Kim, Seungah Suh
Summary: This study proposes two enhanced unsupervised text classification methods for domain-specific non-English text. The results of the tests show that these methods achieve excellent performance on Korean building defect complaints, outperforming state-of-the-art zero-shot and few-shot text classification methods, with minimal data preparation effort and computing resources.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Yoonhwa Jung, Julia Hockenmaier, Mani Golparvar-Fard
Summary: This study introduces a transformer-based natural language processing model, UNIfORMATBRIDGE, that automatically labels activities in a project schedule with Uniformat classification. Experimental results show that the model performs well in matching unstructured schedule data to Uniformat classifications. Additionally, the study highlights the importance of this method in developing new techniques.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
De-Graft Joe Opoku, Srinath Perera, Robert Osei-Kyei, Maria Rashidi, Keivan Bamdad, Tosin Famakinwa
Summary: This paper introduces a digital twin technology combining Building Information Modelling and the Internet of Things for the construction industry, aiming to optimize building conditions. The technology is implemented in a university library, successfully achieving real-time data capture and visual representation of internal conditions.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Zaolin Pan, Yantao Yu
Summary: The construction industry faces safety and workforce shortages globally, and worker-robot collaboration is seen as a solution. However, robots face challenges in recognizing worker intentions in construction. This study tackles these challenges by proposing a fusion method and investigating the best granularity for recognizing worker intentions. The results show that the proposed method can recognize multi-granular worker intentions effectively, contributing to seamless worker-robot collaboration in construction.
AUTOMATION IN CONSTRUCTION
(2024)
