Article
Computer Science, Theory & Methods
Gang Yu, Yi Wang, Min Hu, Lihua Shi, Zeyu Mao, Vijayan Sugumaran
Summary: This paper proposes a solution for achieving intelligent operation and maintenance (O&M) of urban roads, based on new technologies, including organizing road life-cycle data, defining new functional requirements, and designing and implementing an intelligent O&M system. The feasibility of this solution is demonstrated through its application in a real case study and effectiveness evaluation.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2021)
Article
Construction & Building Technology
Mingzhu Wang
Summary: This paper proposes an ontology-based framework for modeling lifecycle utility information to facilitate activities and support decision making during utility operation and maintenance.
AUTOMATION IN CONSTRUCTION
(2021)
Article
Computer Science, Artificial Intelligence
Han Liu, Xiaoyu Song, Ge Gao, Hehua Zhang, Yu-Shen Liu, Ming Gu
Summary: This paper proposes the use of Semantic Petri Net (SPN) to represent temporal states and rules, allowing for the implementation of a runnable temporal model on a common SPARQL engine. The state change rules can be checked using the rich domain knowledge provided by the semantic web.
ADVANCED ENGINEERING INFORMATICS
(2023)
Article
Engineering, Industrial
Kendrik Yan Hong Lim, Theresia Stefanny Yosal, Chun-Hsien Chen, Pai Zheng, Lihui Wang, Xun Xu
Summary: The increasing complexity of industrial systems requires more effective and intelligent maintenance approaches to address manufacturing defects. This paper introduces a cognitive digital twin system that leverages industrial knowledge graphs to support maintenance planning and operations. The system can manage interconnected systems, facilitate cross-domain analysis, and generate feasible solutions validated through simulation. It can also identify potential disruptions in new product designs.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Chemistry, Multidisciplinary
Sangyun Shin, Hyounseok Moon, Jaeyoung Shin
Summary: This study applies the COBie from the architecture field to the port field, enabling digital data-based facility maintenance information management. The developed port COBie schema allows facility management through the IFC model in the future, and has the potential to be expanded to other fields.
APPLIED SCIENCES-BASEL
(2022)
Article
Construction & Building Technology
Jingming Li, Nianping Li, Bao Yue, Rui Yan, Kushnazarov Farruh, Anbang Li, Kehua Li
Summary: This paper investigates the semantic description of Variable Refrigerant Flow systems in building metadata standards and develops a corresponding data management framework. Experimental results show that using the semantic model and service framework can reduce manpower and data analysis time.
JOURNAL OF BUILDING ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Guozhen Zhang, Xiangang Cao, Mengyuan Zhang
Summary: With the rapid development of coal mine intelligent technology, there is a need to establish a new knowledge graph system in the field of coal mine equipment maintenance to address current knowledge management issues and improve maintenance efficiency.
MATHEMATICAL PROBLEMS IN ENGINEERING
(2021)
Article
Environmental Sciences
Zhansheng Liu, Guoliang Shi, Xiaolin Meng, Zhe Sun
Summary: This study established a method for achieving intelligent control of building operation and maintenance processes by integrating Global Navigation Satellite System (GNSS) with Digital Twins (DTs) techniques. The method includes capturing dynamic information, establishing a DT model, setting up data management mechanism, and formalizing an intelligent decision control platform. Results show that the proposed GNSS-DTs-based method can help achieve intelligent control of large building O&M processes.
Article
Computer Science, Artificial Intelligence
Janusz Szpytko, Yorlandys Salgado Duarte
Summary: The paper introduces an Integrated Maintenance Decision Making Model (IMDMM) for cranes in container terminals, aiming to improve operational efficiency and minimize the risk of Gantry Cranes Inefficiency (GCI) through the implementation of the Digital Twins concept for maintenance purposes. The model combines transportation processes and crane maintenance scheduling to ensure robust performance in stochastic environments and optimize performance at different levels. The effectiveness of the model is demonstrated through a case study using real data from a container terminal.
JOURNAL OF INTELLIGENT MANUFACTURING
(2021)
Review
Computer Science, Information Systems
Giovanni Marco Bisanti, Luca Mainetti, Teodoro Montanaro, Luigi Patrono, Ilaria Sergi
Summary: Digital Twins are gaining momentum in the aerospace sector and play an important role in aircraft lifecycle management, particularly in optimizing maintenance processes. This article comprehensively analyzes the current state of Digital Twin technology applied to aircraft operation and maintenance, highlighting the modeling approach and commonly used tools.
INTERNET OF THINGS
(2023)
Article
Chemistry, Multidisciplinary
Gernot Steindl, Wolfgang Kastner
Summary: Digital Twins (DT) are a key enabling technology for Industry 4.0 in industrial cyber-physical systems. This work proposes a DT service framework architecture utilizing Semantic Web technology and a workflow engine for service orchestration to meet the fundamental requirements identified in the literature-based applications. A proof-of-concept implementation for sensor data evaluation of an industrial process demonstrates the feasibility and suitability of the proposed DT service framework architecture.
APPLIED SCIENCES-BASEL
(2021)
Article
Construction & Building Technology
Ville Kukkonen, Ali Kucukavci, Mikki Seidenschnur, Mads Holten Rasmussen, Kevin Michael Smith, Christian Anker Hviid
Summary: This paper explores the challenges of information interoperability in the architecture, engineering, and construction (AEC) fields, with a focus on using linked data and semantic web technologies to establish an extendable data model. The study introduces the Flow Systems Ontology (FSO) for describing flow systems and their mass and energy flows, along with example models and SPARQL queries for validation. The main contribution is the development of FSO as a complementary ontology to existing ones, and a roadmap is introduced for future developments.
AUTOMATION IN CONSTRUCTION
(2022)
Article
Computer Science, Interdisciplinary Applications
Vishal Kumar, Ai Lin Evelyn Teo
Summary: Building information modeling (BIM) for facilities management (FM) is gaining attention, with COBie datasheets as electronic data formats for FM handover. However, verifying data consistency in COBie poses challenges due to its complex structure. This study aims to understand these challenges and proposes a solution using design thinking and the waterfall model, resulting in a prototype application for verifying COBie datasheets during data drop stages.
JOURNAL OF COMPUTATIONAL DESIGN AND ENGINEERING
(2021)
Article
Construction & Building Technology
Yuhong Zhao, Naiqiang Wang, Zhansheng Liu, Enyi Mu
Summary: This paper proposes a digital twin framework to address the problems in traditional operation and maintenance (O&M) models and improve the effectiveness of building O&M. By establishing a digital twin model and utilizing machine learning algorithms, the development of an intelligent O&M system is achieved.
Article
Construction & Building Technology
Gang Yu, Dinghao Lin, Yi Wang, Min Hu, Vijayan Sugumaran, Junjie Chen
Summary: Urban tunnel infrastructure is crucial for the well-being of society, but effectively maintaining tunnel electromechanical equipment (TEE) remains challenging. The utilization of digital twin technology, combining BIM, IoT, and Semantic Web technologies, offers a knowledge-rich environment for improved TEE maintenance. This study proposes a digital twin-enabled and knowledge-driven decision support method, including a controlled vocabulary-based approach and a combinatory reasoner, to assist proactive TEE maintenance.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Juan Du, Peng Dong, Vijayan Sugumaran, Daniel Castro-Lacouture
Summary: This paper uses prefabricated concrete components as an example to develop a dynamic decision support framework based on a genetic algorithm and multiagent system (MAS) for optimizing and simulating production scheduling. The model integrates a multiobjective genetic algorithm for preliminary optimization and uses MAS to simulate real-world production environments, considering resource constraints and uncertainties. The proposed dynamic scheduling method with MAS generates optimal production schedules, effectively addressing uncertain events and providing dynamic decision support for production scheduling.
Article
Computer Science, Artificial Intelligence
M. Mohamed Divan Masood, A. R. Arunarani, D. Manjula, Vijayan Sugumaran
Summary: This study proposes a motif detection algorithm ESMD based on Emerging Substrings, which identifies TFBS through mining and combining emerging substrings. The algorithm utilizes a MapReduce programming model to handle the mining process, and achieved better results than existing methods through evaluation using PCC and AUC metrics.
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING
(2021)
Article
Computer Science, Theory & Methods
Gang Yu, Yi Wang, Min Hu, Lihua Shi, Zeyu Mao, Vijayan Sugumaran
Summary: This paper proposes a solution for achieving intelligent operation and maintenance (O&M) of urban roads, based on new technologies, including organizing road life-cycle data, defining new functional requirements, and designing and implementing an intelligent O&M system. The feasibility of this solution is demonstrated through its application in a real case study and effectiveness evaluation.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2021)
Article
Computer Science, Information Systems
V. S. Prakash Attili, Saji K. Mathew, Vijayan Sugumaran
Summary: The study finds that privacy capability and organizational culture have a significant impact on information privacy assimilation. Senior management participation acts as a mediator between external coercive forces and privacy-related business strategy. Business strategy mediates between coercive/normative forces and privacy-related activities within the organization.
INFORMATION SYSTEMS FRONTIERS
(2022)
Article
Communication
Joerg Leukel, Barbara Schehl, Vijayan Sugumaran
Summary: An increasing number of older adults are using the Internet in their daily life, but limited understanding of the breadth of Internet use exists. This study found positive associations between individual factors such as behavioral control, gender, age, and education level, and the breadth of Internet use. These findings indicate that digital inequality regarding the range of online activities still persists, despite the increased percentage of users.
INFORMATION COMMUNICATION & SOCIETY
(2023)
Article
Computer Science, Interdisciplinary Applications
Joerg Leukel, Vijayan Sugumaran
Summary: The study compared the effectiveness of supply chain process models and alternative textual representations for conveying domain semantics to novice analysts. Findings showed that diagram users were more accurate in identifying and organizing product-related information, and perceived using diagrams as easy as using texts. This provides empirical evidence for the effectiveness of supply chain process models for novice analysts, supplementing prior research limited to scenario, case studies, and informed arguments.
JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT
(2022)
Article
Engineering, Industrial
Juan Du, Yan Xue, Vijayan Sugumaran, Min Hu, Peng Dong
Summary: This paper focuses on the production scheduling problem of prefabricated components and characterizes it as a permutation flow shop scheduling problem with multi-objective optimization objectives and limitations on mold and buffers size. The lean construction principles are incorporated and the biogeography-based optimization algorithm is applied to the problem.
ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT
(2023)
Review
Computer Science, Information Systems
A. G. Sreedevi, T. Nitya Harshitha, Vijayan Sugumaran, P. Shankar
Summary: Human intelligence is considered superior due to its faster adaptability, while cognitive computing, as a subset of AI, serves as an effective solution to address the limitations of AI systems. This paper provides a comprehensive survey of prior research in the cognitive computing domain, discussing challenges, solutions, and future research directions.
INFORMATION PROCESSING & MANAGEMENT
(2022)
Article
Mathematics
Jungwon Seo, Deokyoon Ko, Suntae Kim, Vijayan Sugumaran, Sooyong Park
Summary: This paper introduces a novel approach for private key generation and recovery based on pictures, which addresses the limitations of the mnemonic code technique in terms of usability. By providing pictures and their locations, users can generate and recover their private keys.
Editorial Material
Biotechnology & Applied Microbiology
Zheng Xu, Neil Yen, Vijayan Sugumaran
ENVIRONMENTAL TECHNOLOGY & INNOVATION
(2022)
Article
Business
Lifeng Mu, Xin Tang, Vijayan Sugumaran, Wei Xu, Xiangyang Sun
Summary: This paper analyzes an emerging rebate mode and uses game-theoretic approach to analyze the optimal decision of both the online retailer and the cashback website. The study findings suggest that rebate modes have positive effects on market expansion and profit increase, but there is a potential price trap in marketing-based rebate mode.
ELECTRONIC COMMERCE RESEARCH
(2023)
Proceedings Paper
Business
A. G. Sreedevi, S. Palaniappan, P. Shankar, Vijayan Sugumaran
Summary: Accurate weather prediction is a challenging task, and this paper introduces a novel method using Multi Agent System (MAS) in the Indian context, incorporating a deep neural network model and hybrid ANN algorithm for static and dynamic weather conditions recognition, with ensemble prediction to address weather condition uncertainty. Predictions and alerts from MAS can assist government and local authorities in timely precaution planning.
BUSINESS INFORMATION SYSTEMS WORKSHOPS, BIS 2021
(2022)
Article
Economics
Tobias Widmer, Paul Karaenke, Vijayan Sugumaran
Summary: This paper investigates how quality-differentiated sellers affect market efficiency and finds that increased quality differentiation may reduce market efficiency, but this inefficiency disappears as market size expands.
MANAGERIAL AND DECISION ECONOMICS
(2021)
Article
Business
Nan Jing, Zhao Wu, Shanshan Lyu, Vijayan Sugumaran
Summary: The study proposed an approach to evaluate the credibility of user information in online professional social networks, using trustworthiness and authority for assessment with promising results in experiments.
ELECTRONIC COMMERCE RESEARCH
(2021)
Article
Construction & Building Technology
Zhi Ding, Xiao Zhang, Shao-Heng He, Yong-Jie Qi, Cun-Gang Lin
Summary: This study investigates the longitudinal behavior of a shield tunnel by designing and constructing a reduced-size indoor model. The results show that the longitudinal settlement of the tunnel follows a normal distribution, with the maximum settlement occurring at the central ring and increasing linearly with the applied load. Stress concentration typically occurs on the side of the tunnel waist under surcharge, resulting in transverse elliptical deformation of the entire structure.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2024)
Article
Construction & Building Technology
Lucia Lopez-de-Abajo, Marcos G. Alberti, Jaime C. Galvez
Summary: Assessing and predicting concrete damage is crucial for infrastructure management. This study quantifies gas concentrations in urban tunnels to achieve this goal.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2024)
Article
Construction & Building Technology
Chao He, Yinghao Cai, Chenqiang Pu, Shunhua Zhou, Honggui Di, Xiaohui Zhang
Summary: This paper investigates the impact of river channel excavation on adjacent metro tunnels and proposes protective measures based on an engineering project in Fuzhou, China. A three-dimensional finite element model is developed to calculate the displacements and distortion of tunnels under different excavation sequences and soil reinforcement measures. Real-time monitoring confirms that the vertical displacements and diametrical distortion of tunnels are primarily caused by the excavation of the river above the tunnels, while horizontal displacements are induced by the excavation next to the tunnels. The study recommends a combination of cement slurry with a portal form and concrete with a plate form for soil reinforcement and tunnel protection.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2024)
Article
Construction & Building Technology
Yaosheng Liu, Ang Li, Feng Dai, Ruochen Jiang, Yi Liu, Rui Chen
Summary: In this study, a hybrid model based on a multilayer perceptron (MLP) and meta-heuristic algorithms was developed to improve blast performance during tunnel excavation. Precise prediction of post-blasting indicators was important for optimization, and a comparison of meta-heuristic algorithms was conducted to find the most suitable model. The results showed that the developed model effectively reduces overbreak areas and quantitatively analyzes the influence of geological conditions.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2024)
Article
Construction & Building Technology
Xiang Shen, Yifan Chen, Liqiang Cao, Xiangsheng Chen, Yanbin Fu, Chengyu Hong
Summary: In this paper, a machine learning-based method for predicting the slurry pressure in shield tunnel construction is proposed. By considering the influence of fault fracture zones and setting the formation influence coefficient, the accuracy of the prediction is significantly improved.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2024)
Article
Construction & Building Technology
Shuying Wang, Zihao Zhou, Xiangcou Zheng, Jiazheng Zhong, Tengyue Zheng, Changhao Qi
Summary: A real-time assessment and monitoring approach based on laser scanning technology and point cloud data analysis was proposed to address the hysteresis in assessing the workability of conditioned soils and the inefficiency in estimating the soil volume flow rate in tunnelling practice. The approach was successfully applied in identifying the workability of conditioned soil and its discharge rate in the EPB shield tunnelling project.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2024)
Article
Construction & Building Technology
Peng Jiang, Benchao Liu, Yuting Tang, Zhengyu Liu, Yonghao Pang
Summary: This study introduces a novel deep learning-based electrical method that jointly inverses resistivity and chargeability to estimate water-bearing structures and water volume. Compared with traditional linear inversion methods, the proposed method demonstrates superiority in locating and delineating anomalous bodies, reducing solution multiplicity.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2024)
Article
Construction & Building Technology
Haoyu Mao, Nuwen Xu, Zhong Zhou, Chun Sha, Peiwei Xiao, Biao Li
Summary: The study focuses on the delineation of rock mass damage zones and stability analysis of underground powerhouse in Lianghekou hydropower station. ESG monitoring system is used to monitor the inner micro-fracture activity of surrounding rock mass in real-time. Engineering analogy method is adopted to forecast the deformation period of surrounding rock mass and analyze the variation characteristics of seismic source parameters. The research results provide references for similar deep underground excavation engineering in terms of design and construction.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2024)
Article
Construction & Building Technology
Junling Qiu, Dedi Liu, Kai Zhao, Jinxing Lai, Xiuling Wang, Zhichao Wang, Tong Liu
Summary: This study focuses on the construction surface cracks of large cross-section tunnels in loess strata of China. The mechanism of surface crack formation is analyzed, and factors such as settlement deformation, construction scheme, and surrounding soil environment are identified as the main contributors. Numerical simulations were conducted to gain a deeper understanding of the influence of factors on surface cracks in loess tunnel construction. Specific measures for prevention and treatment of construction surface cracks are proposed to provide new ideas for surface crack control in loess tunnels.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2024)
Article
Construction & Building Technology
Ting Shang, Jiaxin Lu, Ying Luo, Song Wang, Zhengyu He, Aobo Wang
Summary: The study reveals significant variations in car-following behavior across different types of tunnels and consecutive sections of the same tunnel. As tunnel length increases, the driving stability of following vehicles decreases, but the level of driving safety risk is not positively correlated with tunnel length. Significant vehicle trajectory oscillation is observed within the inner sections of long and extra-long tunnels, and a significant relationship between the acceleration of following vehicles and the location within the tunnel section is found.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2024)
Article
Construction & Building Technology
Rusi Zeng, Zhongwei Shen, Jun Luo
Summary: The urban underground complexes (UUCs) in China have been effective in solving urban problems, but users have expressed dissatisfaction with the internal physical environment. Personal characteristics and environmental factors play significant roles in determining users' satisfaction.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2024)
Article
Construction & Building Technology
Gabriel Lehmann, Heiko Kaeling, Sebastian Hoch, Kurosch Thuro
Summary: Analysing and predicting the advance rate of a tunnel boring machine (TBM) in hard rock is important for tunnelling projects. This study focuses on small-diameter TBMs and their unique characteristics, such as insufficient geotechnical information and special machine designs. A database of 37 projects with 70 geotechnically homogeneous areas is compiled to investigate the performance of small-diameter TBMs. The analysis shows that segment lining TBMs have higher penetration rates, and new approaches for the penetration prediction of pipe jacking machines in hard rock are proposed.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2024)
Article
Construction & Building Technology
Ting Ren, Ming Qiao, Jon Roberts, Jennifer Hines, Yang-Wai Chow, Wei Zong, Adrian Sugden, Mark Shepherd, Matthew Farrelly, Gareth Kennedy, Faisal Hai, Willy Susilo
Summary: Long-term exposure to coal and silica dust during underground tunnelling operations is a growing concern. To bridge the gap between knowledge in dust exposure monitoring and frontline workers, a virtual reality educational tool was developed to visualize ventilation and dust flow characteristics. This tool allows workers to better understand decision-making and best practices for dust controls.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2024)
Article
Construction & Building Technology
Dong Lin, Zhipeng Zhou, Miaocheng Weng, Wout Broere, Jianqiang Cui
Summary: Metro systems play a vital role in the transportation, economic, environmental and social aspects of cities. The uncertainties in construction, passenger comfort and safety, as well as efficiency and reliability of the metro system, have been widely studied. Metro systems influence urban development and have a positive impact on housing prices, public health, and environmental quality. Further research is needed to fill the research gaps and make recommendations for future studies.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2024)
Article
Construction & Building Technology
Wei Yu, Bo Wang, Xin Zi, Jie Dong
Summary: In this study, a whole-process analytical theory for the coupled deformation of deep circular tunnel surrounding rock and prestressed yielding anchor bolt (cable) system is derived and validated through numerical simulations. The results show that anchor bolts (cables) can significantly reduce the convergence of surrounding rock, and factors such as support timing and anchor cable length have important effects on the support effectiveness.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY
(2024)
