Article
Engineering, Industrial
Bei Xu, Tao Liu, Guanghan Bai, Junyong Tao, Yun-an Zhang, Yining Fang
Summary: The paper introduces a multi-state network model for evaluating the reliability of unmanned swarm information exchange networks, and proposes an overall reliability metric. Comparisons with existing studies show that the proposed model and metric provide a more realistic method to evaluate the reliability of unmanned swarm information exchange. The proposed algorithm offers an efficient approximation of reliability for large unmanned swarms.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Plant Sciences
Caroline Baroukh, Francis Mairet, Olivier Bernard
Summary: The study proposes metabolic models for the haptophyte microalgae Tisochrysis lutea with different organic carbon excretion mechanisms, calibrated and validated through experiments. The models with exopolysaccharide excretion show better predictive capability, offering an alternative interpretation to the Droop model for nitrogen limitation, highlighting the role of organic carbon excretion in regulating C/N ratios.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Engineering, Industrial
Hongyan Dui, Shuanshuan Chen, Yanjie Zhou, Shaomin Wu
Summary: Traffic congestion is a significant problem in urban transportation networks. Maintenance is crucial for alleviating congestion, and this paper proposes a model using the traffic transfer principle to improve efficiency. By analyzing failure paths and node capacity, the shortest repair path is identified for minimizing maintenance time.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Engineering, Industrial
Sidum Adumene, Faisal Khan, Sunday Adedigba, Sohrab Zendehboudi
Summary: The research presents a hybrid methodology for predicting system reliability considering the dependencies among multiple failure modes, integrating Bayesian Network with Copula-based Monte Carlo simulation. Results show that the probability of system failure varies diversely as the degree of dependencies among random corrosion parameters and their failure modes increases.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Green & Sustainable Science & Technology
Chiara Bordin, Sambeet Mishra, Ivo Palu
Summary: This paper introduces a techno-economic optimisation tool for studying the economical and efficient way of making power system expansion decisions. Key features within the mathematical model are utilized to continuously plan network reinforcement and reconfiguration, considering maintenance costs, long term demand, and learning coefficients. The study highlights the importance of defining cables projected maintenance costs and learning coefficients in network restructuring and expansion.
Article
Computer Science, Interdisciplinary Applications
Zhou Yang, Unsong Pak, Yu Yan, Cholu Kwon
Summary: RBROD was conducted on a drum brake to reduce the influence of random parameters uncertainty on safety performance of vehicles, with a mathematical model established and results showing that the drum brake met reliability, robustness, and optimization design requirements. The adaptive Kriging method demonstrated the highest calculation accuracy and efficiency among the four meta-model methods used.
STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION
(2022)
Article
Engineering, Electrical & Electronic
Hejun Yang, Yuan Gao, Yinghao Ma, Dabo Zhang
Summary: This paper investigates the optimal modification of peak-valley period under multiple TOU schemes considering reliability loss. A clustering model and algorithm for optimal load curve based on a minimum error iteration method are proposed. An optimal modification strategy of peak-valley period based on a dynamic load point method is presented, and the global peak-valley difference is used to calculate the objective function. Moreover, a load-reliability relation fitting model based on the back propagation neural network is established.
IEEE TRANSACTIONS ON POWER SYSTEMS
(2022)
Article
Engineering, Chemical
Ziyuan Cui, Hai Lin, Yan Wu, Yufei Wang, Xiao Feng
Summary: This study proposes an optimization method to design a pipeline network under multiple heat source conditions, and shows that a Euclidean Steiner Minimum Tree pipeline network performs well in terms of economy and reliability.
Article
Automation & Control Systems
Morteza Dabbaghjamanesh, Soroush Senemmar, Jie Zhang
Summary: This paper proposes a resilient and secure configuration for coastal distribution grids by integrating SCUC and MMMGs, optimizing the operation costs while maximizing distribution grid resiliency through heuristic techniques and unscented transform technique. Testing was conducted on the IEEE 69-bus distribution network for both normal and post-disaster operations to demonstrate the effectiveness of the proposed configuration.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Engineering, Civil
Mengdie Chen, Sujith Mangalathu, Jong-Su Jeon
Summary: This paper highlights the importance of transportation networks in post-earthquake emergency response and recovery. It proposes a novel seismic reliability indicator, the travel time and connectivity reliability (TTCR), and a framework for computing the TTCR of transportation networks. Furthermore, it suggests a retrofit plan based on the TTCR to reduce the seismic risk of transportation networks.
EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS
(2022)
Article
Economics
Lan Yang, Sunyong Eom, Tsutomu Suzuki
Summary: This study found that European cities have higher Railway Network Performance Index (RPI) values, while cities in developing countries have relatively lower RPI values due to shortages in railway infrastructure. Additionally, there is a positive correlation between railway and station density with RPI, but differences in RPI emerge between cities with similar infrastructure levels.
JOURNAL OF TRANSPORT GEOGRAPHY
(2021)
Article
Mathematics, Interdisciplinary Applications
Muntasir Alam, Yuki Ida, Jun Tanimoto
Summary: The study introduces an SIR/V M epidemic game model to explore the dynamic evolution of intervention policies and identifies the impact of heterogeneity in disease transmission networks. Vaccination and IDM complement each other within the entire parametric regions, playing crucial roles in controlling epidemics.
CHAOS SOLITONS & FRACTALS
(2021)
Article
Biodiversity Conservation
Xu Sijing, Liu Gang, Mou Biao
Summary: The urban-rural fringe is a sensitive area for urban expansion and rural revitalization. This study uses complex network theory to analyze the impact of land use change on ecosystem vulnerability. By defining the network eco-efficiency indicator, the vulnerability of land ecosystem functioning is analyzed. The results show that protecting a certain percentage of dryland and urban residential land is necessary to maintain ecosystem resilience and reduce vulnerability.
ECOLOGICAL INDICATORS
(2023)
Article
Engineering, Industrial
Peng Hao, Hao Tang, Yu Wang, Tao Wu, Shaojun Feng, Bo Wang
Summary: An efficient stochastic isogeometric analysis (SIGA) framework is proposed for the stochastic buckling analysis of composite shells. The framework utilizes Non-Uniform Rational B-Splines (NURBS) to enable uncertainty quantification and analysis. It employs Karhunen-Loeve expansion to represent Gaussian random fields with spatial variability. The proposed method is evaluated through Monte Carlo simulation, showing its effectiveness compared to stochastic finite element method (SFEM) in obtaining probabilistic characteristics.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Engineering, Multidisciplinary
Weisheng Si, Balume Mburano, Wei Xing Zheng, Tie Qiu
Summary: Infrastructure networks are crucial for our daily lives, but they are vulnerable to cyber-attacks. This paper proposes a robustness metric called Average Network Flow (ANF) and demonstrates its effectiveness through comparisons with other metrics.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2022)
Editorial Material
Transportation
Yong-Hong Kuo, W. Y. Szeto
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Yue Wang, W. Y. Szeto
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Jiancheng Long, Wai Yuen Szeto
OPERATIONS RESEARCH
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Economics
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TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
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Haoxiang Liu, W. Y. Szeto, Jiancheng Long
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
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Ren-Yong Guo, W. Y. Szeto, Jiancheng Long
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2020)
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Operations Research & Management Science
Jiancheng Long, Hai Yang, W. Y. Szeto
Summary: This research presents a model that incorporates the stochastic nature of bottleneck capacity, finding that increasing uncertainty leads to higher individual trip costs. Two toll schemes are designed and analyzed, with results showing that the time-varying toll scheme is more efficient but less so as uncertainty grows. The study offers insight into improving efficiency in the face of stochastic bottlenecks.
TRANSPORTATION SCIENCE
(2022)
Article
Economics
R. C. P. Wong, W. Y. Szeto
Summary: The study demonstrates that under a fixed taxi fare structure, passenger demand for taxis varies over time and space, and implementing surcharges may be a better way to address supply shortages. Analyzing taxi customer travel decisions using various models can provide insights into influencing factors and offer solutions based on market segmentation.
Article
Green & Sustainable Science & Technology
Yu Jiang, Yi Wang, W. Y. Szeto, Andy H. F. Chow, Anna Nagurney
Summary: This article presents a probabilistic approach for evaluating transport network vulnerability. By solving a bi-level optimization problem, the most critical combination of transport network component failures is identified, taking into account both the probability and consequences of these failures.
INTERNATIONAL JOURNAL OF SUSTAINABLE TRANSPORTATION
(2021)
Article
Economics
W. Y. Szeto, R. C. P. Wong, W. H. Yang
Article
Economics
R. C. P. Wong, W. Y. Szeto, Linchuan Yang, Y. C. Li, S. C. Wong