Article
Computer Science, Artificial Intelligence
Giancarlo Iannizzotto, Lucia Lo Bello, Gaetano Patti
Summary: This paper introduces a PPE detection framework that combines deep neural networks and fuzzy logic filtering, which can run in real-time on embedded devices and achieve good accuracy results with training on a low number of images.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Green & Sustainable Science & Technology
Congmei Hou, Hong Chen, Ruyin Long, Le Zhang, Menghua Yang, Yanqing Wang
Summary: This study established a new green productivity evaluation indicator system based on statistical data and specific methods, which revealed that China's green productivity is still in a transition phase. Corresponding improvement strategies were proposed.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Computer Science, Information Systems
Noel Khan, David A. Elizondo, Lipika Deka, Miguel A. Molina-Cabello
Summary: The paper discusses the role of system monitors and the potential of fuzzy logic in predicting and correcting system failures, emphasizing the importance of failure detection and prevention in improving the system's non-functional qualities and avoiding losses.
Review
Computer Science, Information Systems
Asmat Ullah Khan, Lizhen Huang, Erling Onstein, Yongping Liu
Summary: This study evaluates the impact of emerging technologies such as digital twin and internet of things on the performance of construction equipment using a mixed review methodology. It provides insights into improving machine productivity and identifies key areas of equipment operation. Circumstantial issues affecting machine operation and loopholes in existing innovative tools are also highlighted.
Article
Mathematics, Interdisciplinary Applications
M. Safdar Munir, Imran Sarwar Bajwa, Amna Ashraf, Waheed Anwar, Rubina Rashid
Summary: This intelligent irrigation system saves water resources, improves irrigation efficiency, and processes data and makes decisions through an edge server to reduce latency rates.
Article
Engineering, Industrial
Wenting Zhan, Wei Pan, Le Chen
Summary: Despite the increasing investment in construction projects in recent decades, low construction project productivity continues to persist, leading to an investment-in-failure paradox. This paper aims to develop a systematic and holistic CPP evaluation framework to address this paradox in the construction industry. Through literature review and qualitative mixed-methods design, the study identifies limitations in current CPP evaluation approaches and proposes a two-stage CPP evaluation framework.
ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT
(2021)
Article
Automation & Control Systems
Ihsan Erozan, Emre Ozel, Damlanur Erozan
Summary: For people who spend a long time indoors during the day, it is crucial to have ergonomically designed environments that provide comfort. This study proposes a two-stage system using type-2 fuzzy logic for the ergonomic control of indoor environments. Through measurements of temperature, humidity, and carbon dioxide levels, the proposed control structure was modeled using both type-1 and type-2 fuzzy logic systems. The results showed that the type-2 fuzzy logic system provided better interpretations for ergonomic control in extremely fuzzy environments.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Construction & Building Technology
Sathvik Sharath Chandra, Samad M. E. Sepasgozar, Varadhiyagounder Ranganathan Prasath Kumar, Atul Kumar Singh, Loganathan Krishnaraj, Bankole Osita Awuzie
Summary: This study analyzed the factors affecting the productivity of construction equipment and found that management, materials, human resources, technical factors, environmental factors, and other factors all have an impact. Specifically, materials and other factors were found to significantly influence construction equipment productivity, mainly due to subfactors such as operating life, equipment age, and accidents. Based on survey feedback, recommendations were made to overcome these constraints and improve construction equipment productivity.
Article
Computer Science, Artificial Intelligence
Arthur Yosef, Eli Shnaider, Moti Schneider
Summary: This study introduces new methods for constructing clusters using variable-distance threshold and computing similarities between numerical vectors based on clusters. The methods are suitable for applications with vague model structures and unreliable data, and provide several models for calculating similarities between two numerical vectors.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2021)
Article
Green & Sustainable Science & Technology
Kleopatra Petroutsatou, Ilias Ladopoulos, Konstantina Tsakelidou
Summary: The aim of this research is to identify and prioritize the factors affecting the performance of construction equipment operators. Through scientific analysis and extensive literature review, the factors influencing the operators' performance were determined, and a decision model based on AHP was proposed.
Article
Physics, Multidisciplinary
V. Ramani Bai, A. Chun Kit, G. Kangadharan, R. Gopinath, P. Varadarajan, A. J. Hao
Summary: Water quality has become a global concern due to rapid development, especially in Malaysia, where poor water management is the primary cause of water quality problems. Research aims to identify the causes of infractions, detect dangerous germs, and develop tests for violations in water treatment plants and distribution systems. Disinfecting treated water safely and effectively is crucial for protecting human health and preventing waterborne diseases.
EUROPEAN PHYSICAL JOURNAL PLUS
(2022)
Article
Chemistry, Analytical
Catalin Dumitrescu, Petrica Ciotirnae, Constantin Vizitiu
Summary: The article discusses the concept of distributed intelligent control and its components, such as fuzzy sensors, fuzzy actuators, and components of the inference. It introduces a soft computing language called Fuzzy Applied Cell Control for developing fuzzy components. Two applications presented include Agent-based modeling and fuzzy logic for simulating pedestrian crowds, as well as a fuzzy controller for mobile robot.
Article
Engineering, Civil
Shahid Hussain, Yun-Su Kim, Subhasis Thakur, John G. Breslin
Summary: This paper proposes a novel heuristic algorithm called FISA (Fuzzy Inference System-based Algorithm) to optimize the waiting time of electric vehicles (EVs) at public EVSE installations. By defining membership functions, expert rules, and formulation for obtaining optimal solutions, this algorithm automates the correlations of uncertain and independent input parameters, leading to improved efficiency of public EVSE installations.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Hongjun Zhou
Summary: This article proposes two construction ways to study the general forms of ordinal sums of fuzzy implications. By studying Implication Complementing and Implication Reconstructing, new constructions of ordinal sums of fuzzy implications are obtained, which generalize the existing ordinal sums from several aspects.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Food Science & Technology
Michelle Tigchelaar, William W. L. Cheung, Essam Yassin Mohammed, Michael J. Phillips, Hanna J. Payne, Elizabeth R. Selig, Colette C. C. Wabnitz, Muhammed A. Oyinlola, Thomas L. Frolicher, Jessica A. Gephart, Christopher D. Golden, Edward H. Allison, Abigail Bennett, Ling Cao, Jessica Fanzo, Benjamin S. Halpern, Vicky W. Y. Lam, Fiorenza Micheli, Rosamond L. Naylor, U. Rashid Sumaila, Alessandro Tagliabue, Max Troell
Summary: Aquatic food systems are at risk due to climate change, and efforts to build climate resilience must focus on reducing social vulnerabilities. Systemic interventions are needed to enhance the resilience of aquatic and terrestrial food systems for the benefit of achieving Sustainable Development Goals.
Article
Engineering, Civil
Emad Mohamed, Nima Gerami Seresht, Stephen Hague, Adam Chehouri, Simaan AbouRizk
Summary: This article introduces the application of the MCS-CPM method in wind farm construction and emphasizes its practical value and recommended use. The article also provides the analytical generalization, application examples, and recommendations needed for wind farm construction practitioners.
CANADIAN JOURNAL OF CIVIL ENGINEERING
(2022)
Article
Engineering, Civil
Nima Gerami Seresht, Aminah Robinson Fayek
Summary: This paper introduces a hybrid fuzzy system dynamics-discrete event simulation framework to improve the modeling of earthmoving operations and enhance model accuracy.
CANADIAN JOURNAL OF CIVIL ENGINEERING
(2022)
Article
Engineering, Civil
Aminah Robinson Fayek, Alireza Golabchi
Summary: This study provides a novel approach to defining performance metrics for the evaluation of research and development collaborations. The proposed framework can be adopted by other collaborative research centers worldwide to develop effective metrics for performance measurement. It provides a platform for defining performance metrics in the context of the research roadmap and top-priority services applicable to the research and development collaboration.
BUILT ENVIRONMENT PROJECT AND ASSET MANAGEMENT
(2022)
Article
Engineering, Civil
Sara Ebrahimi, Matin Kazerooni, Vuppuluri Sumati, Aminah Robinson Fayek
Summary: This paper proposes a predictive model that integrates hybrid feature selection with principal component analysis to reduce the complexity of construction labour productivity data and obtain better prediction performance.
CANADIAN JOURNAL OF CIVIL ENGINEERING
(2022)
Article
Construction & Building Technology
Getaneh Gezahegne Tiruneh, Aminah Robinson Fayek
Summary: Past studies have used neuro-fuzzy system (NFS) models to develop accurate predictive models, but these models have limitations in handling multiple outputs common in the construction industry. To address these limitations, this paper proposes a hybrid NFS combining a genetic algorithm with a multi-output adaptive neuro-fuzzy inference system, capable of handling complex and nonlinear problems in construction.
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
(2022)
Article
Engineering, Industrial
Mohammad Raoufi, Aminah Robinson Fayek
Summary: This paper presents a survey conducted with construction organizations, primarily in North America, to identify the most effective mitigation actions for construction organizations during the COVID-19 pandemic and future pandemics. The analysis of the survey results shows that the pandemic has greatly affected the operational capacity, productivity, and workforce practices of construction organizations.
JOURNAL OF MANAGEMENT IN ENGINEERING
(2022)
Article
Automation & Control Systems
Bowen Zhang, Witold Pedrycz, Aminah Robinson Fayek, Yucheng Dong
Summary: This study presents a method to improve the consistency in the analytic hierarchy process (AHP) by introducing information granularity. The proposed method optimizes the modified entries of the reciprocal matrix through an interactive process involving the decision maker. Detailed experiments demonstrate the effectiveness of the method.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Green & Sustainable Science & Technology
Ye Cui, E. Hanyu, Witold Pedrycz, Aminah Robinson Fayek
Summary: In this study, a novel decision-making model is introduced and developed to address the problems of renewable energy site planning. The model utilizes information granules, specifically intervals and fuzzy sets, to construct a comprehensive and systematic methodology for ranking alternatives in a multicriteria group decision-making environment. By formalizing and processing uncertainty through information granules and considering the diversity of individual decision-makers' views and opinions, the model provides a reliable and interpretable solution. The usefulness of the model is demonstrated through a case study on solar site selection.
Article
Energy & Fuels
Pedro Ponce, Citlaly Perez, Aminah Robinson Fayek, Arturo Molina
Summary: With the increasing demand for electrical energy due to population growth and factory automation, solar energy has been installed to meet the increased energy needs. Evaluating a solar panel company is a complex task, with multiple criteria to consider and a need for holistic solutions. The Fuzzy TOPSIS method has proved efficient in selecting the best solar panel company to meet the needs of manufacturing companies.
Article
Computer Science, Artificial Intelligence
Emad Mohamed, Nima Gerami Seresht, Simaan AbouRizk
Summary: Risk identification in construction projects is a time-consuming and subjective process. Data sharing and reuse are complicated due to the fragmented storage of quantitative risk-related data. This study proposes an ontology-based approach that automates the representation of project context and risk information, improving knowledge storage and sharing. The approach has been validated in the context of wind farm construction projects, successfully identifying risk factors.
ADVANCED ENGINEERING INFORMATICS
(2023)
Review
Energy & Fuels
Nebiyu Kedir, Phuong H. D. Nguyen, Citlaly Perez, Pedro Ponce, Aminah Robinson Fayek
Summary: The application of fuzzy hybrid methods has been increasing in various sectors, but it has been relatively limited in the energy sector, specifically in the solar energy domain. This paper presents a systematic review of journal articles published from 2012 to 2022 to investigate the application of fuzzy hybrid systems in the solar energy sector compared to other sectors. The study contributes to the solar energy domain by demonstrating the capability of fuzzy hybrid techniques, recommending selection criteria, and assessing applicability for solving practical problems.
Article
Construction & Building Technology
JungHo Jeon, Yuxi Zhang, Liu Yang, Xin Xu, Hubo Cai, Dan Tran
Summary: This paper introduces an integrated risk-based construction inspection framework using a risk breakdown matrix (RBM) to identify and assess critical risks at the construction activity level. The framework can be applied to various transportation projects, allowing for effective inspection resource allocation, reduced workload for inspectors, and consistency in inspection practices.
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
(2023)
Review
Construction & Building Technology
Nebiyu Kedir, Nasir Siraj, Aminah Robinson Fayek
Summary: Researchers have utilized system dynamics (SD) as a modelling tool to understand systems with different levels of dynamism and complexity. However, there is a lack of comprehensive literature review on the application of SD in construction engineering and management (CEM). This study conducted a systematic literature review and content analysis to investigate the applications of SD in CEM research. The findings provide insights into the research areas where SD is mostly used, the evolving trends, and the potential for future research in improving SD modelling capabilities.
ADVANCES IN CIVIL ENGINEERING
(2023)
Article
Construction & Building Technology
Naimeh Sadeghi, Nima Gerami-Seresht
Summary: The COVID-19 pandemic has raised concerns about the resilience of workplaces against infectious diseases, leading to outbreaks and the implementation of restrictive interventions. However, these interventions are not sustainable in the long run. Therefore, non-restrictive interventions are needed to limit the spread of similar diseases in workplaces during epidemics. This research identifies impactful interventions based on simulation outcomes and provides practical strategies to improve occupational safety in office environments.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Construction & Building Technology
Elham Mahamedi, Martin Wonders, Nima Gerami Seresht, Wai Lok Woo, Mohamad Kassem
Summary: This paper proposes a novel data-driven approach for predicting energy performance of buildings by addressing the scarcity of quality data and considering the dynamic nature of building systems. The results show that the proposed approach improves the accuracy of energy performance prediction compared to conventional methods.
CONSTRUCTION INNOVATION-ENGLAND
(2023)