Article
Computer Science, Information Systems
Chenyu Wang, Yingshu Li
Summary: With the increasing number of products, budget and testing risk significantly limit the product development process. Digital twin provides an integrated view of the product design process. This article proposes a DT-aided IoT platform design framework for handling tasks of IoT devices through machine learning, addressing challenges in network management and data scarcity.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Review
Construction & Building Technology
Valerian Vanessa Tuhaise, Joseph Handibry Mbatu Tah, Fonbeyin Henry Abanda
Summary: The construction industry is under enormous pressure to adopt digital solutions, and the digital twin has emerged as a solution to achieve cyber-physical integration and improve decisionmaking. The application of digital twins in construction is still in its early stages but steadily growing. A systematic review of literature is conducted to identify key technologies used in the development of digital twins in construction, research gaps, and potential areas for future research. The study suggests focusing on technologies in data transmission, interoperability and data integration, and data processing and visualization based on the observed research gaps.
AUTOMATION IN CONSTRUCTION
(2023)
Article
Urban Studies
Gary White, Anna Zink, Lara Codeca, Siobhan Clarke
Summary: A digital twin is a digital representation of a physical process, place, system or device, originally designed for manufacturing processes but now used for smart city planning. By creating digital twin smart cities, the public can view 3D models of cities online to provide feedback, enhancing transparency and interaction in urban planning.
Review
Construction & Building Technology
Milad Baghalzadeh Shishehgarkhaneh, Afram Keivani, Robert C. Moehler, Nasim Jelodari, Sevda Roshdi Laleh
Summary: This study utilizes bibliometric analysis and systematic literature review to examine the utilization of Building Information Modeling (BIM), the Internet of Things (IoT), and Digital Twins (DT) in the construction industry. The study identifies the main themes of research and identifies potential areas for future study.
Article
Computer Science, Information Systems
Chenyu Wang, Zhipeng Cai, Yingshu Li
Summary: As the number of IoT devices increases, sustainability is becoming a bottleneck in industrial systems. Digital twin (DT) technology plays a promising role in facilitating interaction between IoT assets and digital services. However, high-fidelity models of DTs require efficient data flows, which are limited by factors such as data collection strategy and energy supply.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Construction & Building Technology
Arva Arsiwala, Faris Elghaish, Mohammed Zoher
Summary: The revolution of the industry 4.0 has brought about a new era of digital transformation for the construction industry, with a focus on digital twins. However, there is a research gap in applying digital twins to achieve net zero emissions, and this study highlights the potential of digital twins in the built environment and the need for use-case analysis.
ENERGY AND BUILDINGS
(2023)
Article
Automation & Control Systems
Abid Khan, Furqan Shahid, Carsten Maple, Awais Ahmad, Gwanggil Jeon
Summary: Digital twins have been proposed to enhance manufacturing processes, with the goal of benefiting more than 50% of large industries by the end of 2021. However, a common narrative for digital twins is still lacking. To address this, the article presents a detailed framework called spiral DT-framework and suggests using blockchain technology for secure and reliable data management. A new variant of blockchain, called twinchain, is also proposed, which is quantum-resilient and offers immediate transaction confirmation. The article concludes with a framework for deploying twinchain in the manufacturing of a robot surgical machine.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Multidisciplinary Sciences
Hiep Xuan Huynh, Linh Nhut Tran, Nghia Duong-Trung
Summary: This paper presents a smart greenhouse IoT solution for the cultivation of Brassica Juncea, a mustard variety commonly grown in Vietnam. The research team successfully designed, constructed, and tested a 30m2 smart greenhouse, integrated diverse IoT technologies, and developed a web interface and mobile application for convenient monitoring and control.
Article
Computer Science, Information Systems
Pengyi Jia, Xianbin Wang, Xuemin Shen
Summary: Accurate and efficient digital twin construction through real-time multi-attribute sensing and remote concurrent data analysis is proposed. The scheme involves concurrent end-to-end time synchronization and multi-attribute data resampling to achieve remote accurate and efficient digital twin construction. Simulation results demonstrate its superiority over existing modeling methods.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Haya Elayan, Moayad Aloqaily, Mohsen Guizani
Summary: The field of digital smart healthcare has rapidly advanced, with digital twin technology expected to revolutionize the concept of digital healthcare and improve operational efficiency. The implementation of an intelligent healthcare system using the digital twin framework successfully created a classifier model for ECG heart rhythms to diagnose heart disease and detect heart problems.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Green & Sustainable Science & Technology
Rafael Gomes Alves, Rodrigo Filev Maia, Fabio Lima
Summary: This paper presents a digital twin model of a smart irrigation system, which utilizes an internet of things platform and a discrete event simulation model to enable automatic data flow and interaction. The system allows farmers to evaluate the behavior and test different irrigation strategies, leading to improvements in agricultural operations and water usage reduction.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Engineering, Electrical & Electronic
Dang Van Huynh, Van-Dinh Nguyen, Saeed R. Khosravirad, George K. Karagiannidis, Trung Q. Duong
Summary: This paper introduces a fairness-aware latency minimization (FALM) framework in the digital twin (DT) aided edge computing with ultra-reliable and low latency communications (URLLC). The formulated problem is highly complicated due to non-convex constraints and strong coupling among optimization variables. The paper develops both centralized and distributed optimization approaches to solve the problem efficiently.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2023)
Article
Automation & Control Systems
Qi Guo, Fengxiao Tang, Nei Kato
Summary: This article proposes a device-to-device communication-aided digital twin edge network to address the problems of device management and service quality in the Industrial Internet of Things. It introduces edge computing, digital twin, and D2D communication to improve network performance.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Engineering, Electrical & Electronic
Xiongfei Zhai, Guojun Han, Yunlong Cai, Lajos Hanzo
Summary: This paper investigates a double-RIS-assisted AirComp system to improve computation accuracy. A pair of algorithms are proposed to optimize system parameters, and the complexity and convergence of the algorithms are analyzed. Simulation results are provided to evaluate the performance of the system.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Yue Han, Dusit Niyato, Cyril Leung, Dong In Kim, Kun Zhu, Shaohan Feng, Xuemin Shen, Chunyan Miao
Summary: Metaverse, also known as the Internet of 3-D worlds, has attracted significant attention recently. This article proposes a dynamic hierarchical framework for an interoperable metaverse, in which Internet of Things devices collectively sense physical objects' status information while virtual service providers determine synchronization intensities. The proposed approach outperforms the baseline in experiments.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Construction & Building Technology
Shengping Li, Behzad Rismanchi, Lu Aye
Summary: This study predicts the future energy use in Australian residential buildings using a scenario-based approach. The results show that achieving net-zero emissions by 2050 is possible with stringent energy-efficient strategies and increased renewable energy supply. The residential building sector plays a crucial role in reaching the net-zero emissions target.
BUILDING AND ENVIRONMENT
(2023)
Article
Environmental Sciences
Fei Fu, Xia Jia, Dan Wu, Qiuji Zhao, Han Fang, Liwei Lin, Lu Aye
Summary: Metro stations are important resources for urban development, influencing changes in surrounding land use. Predicting and simulating these changes can provide a scientific basis for urban planning. This study used the CA-Markov model to predict land use changes based on point of interest density and station accessibility, and proposed optimized strategies for different metro stations.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2023)
Article
Education & Educational Research
Mohsen Ghobadi, Sara Shirowzhan, Mohammad Mehdi Ghiai, Fatemeh Mohammad Ebrahimzadeh, Faham Tahmasebinia
Summary: Augmented Reality (AR) is increasingly influential in education, allowing users to learn in a simulated environment. This study evaluated users' attitudes towards using AR for learning complex tasks and found that attitude and perceived usefulness were key factors in determining participants' behavioral intention to use an AR application.
EDUCATION SCIENCES
(2023)
Review
Computer Science, Information Systems
Homa Masoumi, Sara Shirowzhan, Paria Eskandarpour, Christopher James Pettit
Summary: The field of City Digital Twins has rapidly evolved with the support of digital infrastructure and IoT technologies. However, there is a gap in systematic reviews and the maturity of City Digital Twins on an urban scale. In our work, we conducted a literature review and found that the majority of studies are at initial to medium stages of maturity, focusing on 3D modeling and visualization. To achieve higher maturity levels, advanced technologies such as cloud computing, AI, BIM, and GIS are needed. Further research should include real-time data analytics, public participation capabilities, and improved storage and computation infrastructure.
Article
Thermodynamics
Milad Mohsenzadeh, Lu Aye, Philip Christopher
Summary: This article proposes a new correlation to estimate the convective heat transfer coefficient inside the evaporation chamber of a single slope solar still with a low humidity level. Existing models neglect the effect of vapour pressure and fail to accurately predict the convection in higher water temperatures or in unsaturated humidity levels. The new correlation, based on a theoretical approach and experimental data, shows improved accuracy in predicting daily water yield under different humidity levels and aspect ratios.
APPLIED THERMAL ENGINEERING
(2023)
Article
Construction & Building Technology
Seyedmostafa Mousavi, Behzad Rismanchi, Stefan Brey, Lu Aye
Summary: The study evaluates the thermal efficiency and energy performance of a PCM-RCC system and finds that it improves energy efficiency and indoor environmental quality. The study also examines the thermal behavior of PCM ceiling panels and the cooling energy delivered during charging-discharging cycles. The results show that the system can fully recharge PCM panels with 4-5 hours of chilled water circulation overnight, and achieves thermal comfort for 80% of the occupancy time.
BUILDING AND ENVIRONMENT
(2023)
Article
Thermodynamics
Seyedmostafa Mousavi, Behzad Rismanchi, Stefan Brey, Lu Aye
Summary: The recent increase in space cooling energy demand has adversely affected global building energy use patterns due to the massive use of air-conditioning systems. To address this growing cooling demand, innovative cooling systems are needed. The PCM-RCC has gained popularity as it offers more efficient space cooling and demand-side flexibility. To assist professionals in improving designs and operating settings, a transient simulation model of PCM-RCC has been developed and validated in this study. The validated model allows for reliable investigation of PCM-RCC's potentials in peak load shifting, energy savings, and enhanced thermal comfort.
BUILDING SIMULATION
(2023)
Article
Environmental Sciences
Chang Liu, Qi Zhang, Linlin Ge, Samad M. E. Sepasgozar, Ziheng Sheng
Summary: Polarimetric Synthetic Aperture Radar Interferometry (Pol-InSAR) based forest height estimation has developed rapidly in recent years. However, the long temporal baselines of spaceborne Pol-InSAR systems can cause severe temporal decorrelation and overestimation error. This study proposes a new unsupervised method called DF-RMoG that considers dielectric fluctuations and random motions to improve accuracy.
Article
Construction & Building Technology
Samad M. E. Sepasgozar, Ayaz Ahmad Khan, Kai Smith, Juan Garzon Romero, Xiaohan Shen, Sara Shirowzhan, Heng Li, Faham Tahmasebinia
Summary: The construction industry has been slow to adopt new technologies, but the impact of COVID-19 has pushed for the implementation of digital solutions and remote operating technologies. This paper investigates the current state of construction technology implementation and presents a roadmap for developing and implementing the necessary technologies. It also identifies disruptive technologies that may transform the construction sector in the next decade.
Article
Construction & Building Technology
Hesham Algassim, Samad M. E. Sepasgozar, Michael Ostwald, Steven Davis
Summary: This study conducted qualitative data collection through semi-structured interviews with 30 architecture and design managers to explore the factors they consider important when adopting digital technology in their organizations. The major findings revealed that several factors influence the adoption of technology in the architecture industry at the managerial level, including cost, brief preparation, service quality, result demonstrability, project time, environmental considerations, training considerations, and user-friendliness.
Article
Construction & Building Technology
Faham Tahmasebinia, Ruihan He, Jiayang Chen, Shang Wang, Samad M. E. Sepasgozar
Summary: Addressing the concern of energy consumption in buildings, this research uses Building Information Modelling (BIM) to examine the relationship between building variables and energy consumption. Energy simulations were performed using Autodesk Insight 360 and Green Building Studio (GBS) on selected education facility office rooms. The study identified five variables that significantly affect energy consumption, while the analysis of window-to-wall ratio (WWR) showed poor model fit and unacceptable validation errors ranging from 1.0% to 26.0%.
Article
Green & Sustainable Science & Technology
Emily Ruth Suyanto, Massoud Sofi, Elisa Lumantarna, Lu Aye
Summary: This study compares different scenarios for processing waste photovoltaic panels at the end of their life in Australia, including landfill, traditional recycling, full-recovery, and modified full-recovery. Environmental and financial analyses were conducted using simplified methods. The results show that landfill is no longer the cheapest option due to increasing waste levies and landfill bans, and recovering more waste through full-recovery has the potential to save costs. The study also found that modified full-recovery has environmental benefits and focusing on reclaiming solar-grade silicon can generate higher revenue compared to traditional full-recovery.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Construction & Building Technology
Samad M. E. Sepasgozar
Summary: Digital technology is constantly evolving, giving construction companies more options for implementing them into their daily operations. However, there is ongoing debate about how these technologies can be accepted in different contexts. This study presents a new model for successful assimilation of digital construction technologies, based on empirical investigation and testing. The results suggest that improving innovativeness and operational processes can enhance assimilation capability, and support from vendors and improved operating performance assessment are also key factors in successful assimilation.
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
(2023)
Review
Chemistry, Multidisciplinary
Faham Tahmasebinia, Lin Lin, Shuo Wu, Yifan Kang, Samad Sepasgozar
Summary: Buildings consume a significant amount of energy throughout their lifecycle, making sustainable energy management crucial. Digital twin (DT) technology, a core part of Industry 4.0, has gained widespread adoption in building energy analysis. It enables real-time monitoring, optimization, and prediction of building energy consumption, leading to sustainable energy management and cost reduction. This comprehensive review discusses the development and application of DT technology in building energy, including its integration with building information modeling, energy optimization, indoor environmental monitoring, and energy efficiency evaluation.
APPLIED SCIENCES-BASEL
(2023)
Article
Construction & Building Technology
Mohsen Ghobadi, Samad M. E. Sepasgozar
Summary: This paper aims to present recent circular economy cases in modern methods of timber construction and examine the strategies in this context. The importance of circular economy strategies in timber construction for addressing climate change challenges is emphasized. Using a practical perspective, a two-phase research method was applied to select key reports and publications related to circular economy applications in timber construction. The findings highlight the significance of recycling and reusing strategies in timber construction for achieving circularity and sustainability.
JOURNAL OF BUILDING ENGINEERING
(2023)