Related references
Note: Only part of the references are listed.
Article
Environmental Sciences
Yue Yu et al.
Summary: Owing to the complexity of urban environments, localizing pedestrians indoors using mobile terminals is of great importance. This paper proposes the integration of Wi-Fi, BLE, QR code, and MEMS sensors to achieve accurate pedestrian localization in large-scale indoor areas. The experimental results demonstrate the effectiveness of the proposed 3D-WBQM framework in achieving autonomous and accurate positioning performance.
Article
Multidisciplinary Sciences
Linqing Gui et al.
Summary: Passive intrusion detection using WiFi infrastructures has advantages such as low cost and privacy protection. However, existing methods lack in-depth analysis of intrusion detection bound. This study precisely characterizes and models CSI-based intrusion detection bound in an indoor NLoS scenario and proposes a practical system for estimating the real intrusion detection bound.
FUNDAMENTAL RESEARCH
(2023)
Article
Construction & Building Technology
Haidar Hosamo Hosamo et al.
Summary: This research proposes a Digital Twin predictive maintenance framework for Air Handling Units (AHU) in buildings. The framework overcomes limitations of current facility maintenance management systems and utilizes Digital Twin technology along with Building Information Modeling, Internet of Things, and semantic technologies to create a better maintenance strategy. The results demonstrate the effectiveness of the framework in detecting faults and predicting the future state of AHU components, leading to energy savings.
ENERGY AND BUILDINGS
(2022)
Article
Computer Science, Theory & Methods
Kanika Saini et al.
Summary: In this study, an intelligent evacuation system is proposed that integrates IoT, fog layer, and cloud layer to efficiently and accurately guide evacuees to safer locations while significantly reducing direct fire exposure.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2022)
Article
Automation & Control Systems
Hung Dang et al.
Summary: Digital twin (DT) technology allows for the convergence of the real structure and its digital counterpart throughout their entire life-cycle. This article proposes a DT framework based on cloud computing and deep learning (DL) for efficient real-time monitoring and proactive maintenance. The feasibility of the framework is demonstrated through case studies of damage detection, achieving a high accuracy of 92%.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Green & Sustainable Science & Technology
Muhammad Saidu Aliero et al.
Summary: Smart building technology uses smart energy products, networked sensors, and data analytics software to monitor environmental data and occupants' energy consumption habits, improving building operation and energy performance. The application of smart technologies and controls in research, industrial, and commercial domains is growing steadily, especially in the field of smart building energy management systems (SBEMS). Future research focuses on improving privacy and security, as well as enhancing interoperability.
Article
Engineering, Industrial
Xixing Li et al.
Summary: With the widespread application of new digital and information technologies, manufacturing patterns in different industries have been reformed. The digital twin shop-floor (DTS) has become an advanced data-driven manufacturing model for modern manufacturing companies. This study established a framework for manufacturing task semantic modelling and MR dynamic recommendation to meet the needs of simulation and optimization in DTS.
JOURNAL OF MANUFACTURING SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Chun-Hao Chen et al.
Summary: This study uses the multiple traveling salesman problem (M-TSP) to establish a primary search plan for building emergencies, aiming to improve the efficiency of victim search. By utilizing building information models (BIMs) and the branch-and-price algorithm to minimize travel costs of rescue teams and optimize patrol routes, timely solutions and guidance are provided.
ADVANCED ENGINEERING INFORMATICS
(2021)
Article
Computer Science, Hardware & Architecture
Mobasshir Mahbub et al.
Summary: This article introduces a software development focusing on an intelligent lighting and ventilation system, capable of sensing human presence for lighting control and monitoring environmental data. Users can monitor real-time data through smartphones or PCs, as well as access real-time sensor data through a cloud server.
Article
Engineering, Civil
Xia Yan et al.
Summary: This paper investigates different numerical modeling strategies for evaluating temperatures in structures under localized fires, concluding that the versatile automatic transfer interface and simple models have their advantages and limitations based on experimental validations.
ENGINEERING STRUCTURES
(2021)
Article
Engineering, Electrical & Electronic
Wei Jiang et al.
Summary: This article proposes a GNSS/INS/UWB tightly-coupled integration positioning methodology to address the problem of accurate positioning in GNSS-difficult areas and aims to provide seamless positioning. The system uses UWB/INS tightly-coupled integration positioning mode in indoor environments and periodically corrects the INS errors with range measurements obtained from the UWB transmitting unit to achieve centimeter-level accuracy.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Computer Science, Information Systems
Ji-Soo Kang et al.
Summary: Digital twins are virtual replicas of real physical entities that simulate data and behavior for prediction and optimization. To maintain their characteristics, continuous updating of virtual models is required. By implementing multimedia knowledge-based bridge health monitoring, real and virtual spaces can be synchronized to ensure the health of bridges.
MULTIMEDIA TOOLS AND APPLICATIONS
(2021)
Article
Engineering, Industrial
Jieyu Chen et al.
Summary: Pedestrian evacuation simulation (PES) is a low-cost and low-risk method to facilitate safety design and emergency management by describing pedestrian evacuation behaviors and predicting outcomes. Current research shows that PES models have limited adaptability to different evacuation scenarios, and verification and validation remain major challenges for PES tools.
Article
Construction & Building Technology
Yue Pan et al.
Summary: This paper introduces a closed-loop digital twin framework integrating BIM, IoT, and data mining for smart construction project management. By capturing real-time data, modeling, and analysis, the digital twin can simulate task execution and worker cooperation to predict and optimize physical construction operations.
AUTOMATION IN CONSTRUCTION
(2021)
Article
Energy & Fuels
Sofia Agostinelli et al.
Summary: This research explores the potential of digital-twin-based methods and approaches aimed at achieving an intelligent optimization and automation system for energy management of a residential district. The case study focused on Rinascimento III in Rome, evaluating different scenarios of energy efficiency intervention to achieve a virtuous energy management.
Review
Construction & Building Technology
Peixian Li et al.
Summary: The paper reviews the state-of-the-art smart building research through bibliometric analysis, content analysis, and qualitative review. It reveals that smart building is an interdisciplinary field with high international collaboration, focusing on IoT, cloud computing, and human needs. The transition from CPS to HCPS framework in smart building research is detected, leading to future research directions centered around occupants' needs.
AUTOMATION IN CONSTRUCTION
(2021)
Article
Construction & Building Technology
Roja Eini et al.
Summary: Designing and developing smart buildings is a complex task due to the unique requirements and characteristics of each structure. This study combines machine learning with model-based control approaches to integrate subjective environmental parameters into building management. Additionally, the research integrates model-based and learning-based control schemes in a unified structure for controlling various aspects of building performance.
JOURNAL OF BUILDING ENGINEERING
(2021)
Article
Construction & Building Technology
Timothy Young et al.
Summary: The research considers pedestrian decision making and wayfinding under various emergency evacuation scenarios in stadiums. Results show that evacuation behaviors vary depending on the level of urgency, and the role of staff in the evacuation process is a major factor in reducing or extending premovement.
JOURNAL OF BUILDING ENGINEERING
(2021)
Article
Engineering, Mechanical
Torbjorn Moi et al.
ENGINEERING FAILURE ANALYSIS
(2020)
Article
Construction & Building Technology
Qiuchen Lu et al.
AUTOMATION IN CONSTRUCTION
(2020)
Article
Computer Science, Interdisciplinary Applications
Toni Greif et al.
COMPUTERS IN INDUSTRY
(2020)
Article
Construction & Building Technology
Meiqing Fu et al.
AUTOMATION IN CONSTRUCTION
(2020)
Review
Computer Science, Artificial Intelligence
D. S. Vijayan et al.
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING
(2020)
Article
Computer Science, Artificial Intelligence
Jiewu Leng et al.
JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING
(2019)
Review
Construction & Building Technology
Bing Dong et al.
ENERGY AND BUILDINGS
(2019)
Article
Computer Science, Artificial Intelligence
Xiu-Shan Chen et al.
ADVANCED ENGINEERING INFORMATICS
(2018)
Article
Engineering, Industrial
Pedro Daniel Urbina Coronado et al.
JOURNAL OF MANUFACTURING SYSTEMS
(2018)
Article
Criminology & Penology
Rasoul Faraji et al.
JOURNAL OF APPLIED SECURITY RESEARCH
(2018)
Article
Engineering, Industrial
Rikard Soderberg et al.
CIRP ANNALS-MANUFACTURING TECHNOLOGY
(2017)
Article
Construction & Building Technology
Shih-Hsu Wang et al.
AUTOMATION IN CONSTRUCTION
(2015)
Article
Construction & Building Technology
Nan Li et al.
AUTOMATION IN CONSTRUCTION
(2014)