Article
Engineering, Electrical & Electronic
M. S. S. Fogliatto, H. O. Caetano, L. Desuo N, J. A. D. Massignan, R. Z. Fanucchi, J. B. A. London, B. R. Pereira, M. Bessani, C. D. Maciel
Summary: Electricity supply is vital to society, but large-scale systems can experience failures or interruptions. Accurately estimating the time and duration of these failures is crucial for planning and operating power distribution systems. This study used regression models to analyze real failure data and develop a model capable of effectively estimating failure duration, as well as determining the accurate probability distribution for interruption duration.
ELECTRIC POWER SYSTEMS RESEARCH
(2022)
Article
Geosciences, Multidisciplinary
Veysel Yildiz, Robert Milton, Solomon Brown, Charles Rouge
Summary: This article introduces a new method for statistically generating plausible streamflow futures, which can adapt to flow changes under different climate conditions by flexibly combining flow statistics. By using this method, the performance of water resource systems can be explored under climate change. Evaluation: 8 points
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2023)
Article
Engineering, Industrial
Yogesh Mani Tripathi, C. Petropoulos, Mayank Kumar Jha
Summary: This paper considers the problem of estimating a stress-strength parameter under the assumption that both stress and strength variables follow independent lognormal distributions. The estimation and interval estimation of the parameter are obtained through methods such as maximum likelihood estimation and Bayesian estimation, and numerical comparisons and analysis of real data sets are conducted.
QUALITY TECHNOLOGY AND QUANTITATIVE MANAGEMENT
(2022)
Article
Multidisciplinary Sciences
Abdul Rahman Othman, Lai Choo Heng, Sonia Aissa, Nora Muda
Summary: Three methods for approximating the sum of lognormal variates to a lognormal distribution were studied: the Wilkinson approximation, the Monte Carlo version of the Wilkinson approximation, and the approximation using estimated maximum likelihood lognormal parameters. Lognormal variates were empirically generated using Monte Carlo simulation under various conditions. The evaluation of these approximation methods was conducted using the Anderson Darling test. Results demonstrated that the approximation using estimated maximum likelihood lognormal parameters yielded Type I errors close to the desired target of 0.05 and was considered the best approximation.
Article
Astronomy & Astrophysics
Gabriela Sato-Polito, Jose Luis Bernal
Summary: This study reformulated the derivation of the voxel intensity distribution (VID) in terms of local overdensities and derived an analytic covariance between VID and the line-intensity mapping power spectrum for the first time. The features of this covariance under different experimental setups were investigated, showing similar results to simulation-based covariances. The study also computed the cosmic variance contribution to the VID uncertainty, which was found to be subdominant compared to the standard variance from Poisson sampling.
Article
Engineering, Marine
Ira Didenkulova, Andrey Zaitsev, Efim Pelinovsky
Summary: This study investigates the distribution of tsunami runup heights along the coast using observation data of historical tsunamis from 1992 to 2018. The research shows that the lognormal distribution accurately describes the measurements of tsunami characteristics over the past 30 years. Even in the case of the 2018 Palu-Sulawesi tsunami, which was caused by an earthquake and subsequent landslides, the lognormal distribution remains a good approximation.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Engineering, Multidisciplinary
Kundan Singh, Amulya Kumar Mahto, Yogesh Mani Tripathi, Liang Wang
Summary: This paper investigates the estimation of multicomponent stress-strength reliability under classical and Bayesian approaches, considering lognormal distributions for stress-strength components and progressive censoring for observed data. Different estimates are obtained by sequentially considering one parameter common and unknown. The reliability is evaluated under different cases, and estimates are obtained using likelihood, Lindley, and repeated sampling methods. Asymptotic and credible intervals are also derived, and extensive simulations are conducted to examine the behavior of all estimates under various censoring schemes. A real-life example analysis is presented for practical application purposes.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART O-JOURNAL OF RISK AND RELIABILITY
(2023)
Article
Mathematical & Computational Biology
Hossein Jabbari Khamnei, Sajad Nikannia, Masood Fathi, Shahryar Ghorbani
Summary: This study aims to develop appropriate models for income distribution in Iran from 2006 to 2018 using the econophysics approach. The research results indicate that the income distribution in Iran does not follow the Pareto and Lognormal distributions in most years but follows the generalized Gibbs-Boltzmann distribution function. The generalized Gibbs-Boltzmann distribution fits the actual income data better than both Pareto and Lognormal distributions.
MATHEMATICAL BIOSCIENCES AND ENGINEERING
(2023)
Article
Multidisciplinary Sciences
Yuchen Shi, Wenqing Liu, Yunsheng Dong, Xuesong Zhao, Yan Xiang, Tianshu Zhang, Lihui Lv
Summary: This study investigates an APSD retrieval method based on lognormal particle size distribution, Mie theory, and 6S. By dividing the aerosols into four basic components and utilizing Lidar data and optical/microphysical characteristics, the method can reliably obtain the APSD for particles larger than 0.15 μm.
Article
Materials Science, Multidisciplinary
Chad R. Foster
Summary: This article discusses the use of log-normal distributions in stereological material characterization and how spherical distribution parameters can be estimated by measuring cross-section circle diameters. The article defines a randomization method and creates an unambiguous distribution that avoids Bertrand's paradox. Two specific randomizations are demonstrated and verified through simulation.
METALLURGICAL AND MATERIALS TRANSACTIONS A-PHYSICAL METALLURGY AND MATERIALS SCIENCE
(2022)
Article
Biology
Likun Zhang, Benjamin A. Shaby
Summary: In this paper, we investigate the properties of likelihood-based estimation for the three-parameter generalized extreme value distribution. We prove that the maximum likelihood estimator is both global and unique, and establish the uniform consistency of a class of limit relations in a neighborhood of the true shape parameter.
Article
Mathematics
Manuel D. Ortigueira
Summary: This paper focuses on the study of the lognormal distribution and proposes a new series representation using powers of the bilinear function. A simplified form is obtained and applied to compute the Laplace transform of the distribution.
Article
Neurosciences
Aitor Morales-Gregorio, Alexander van Meegen, Sacha J. van Albada
Summary: Numbers of neurons and their spatial variation are fundamental organizational features of the brain. A new study reveals that neuron densities in the brain follow a lognormal distribution both within and across cortical areas in multiple mammalian species. This finding suggests a universal organizational principle of cortical cytoarchitecture and adds to the list of lognormal variables in the brain.
Article
Mathematics
Amisha Patel, Isha Talati, Ankit D. Oza, Dumitru Doru Burduhos-Nergis, Diana Petronela Burduhos-Nergis
Summary: This study investigates an inventory model for retailers, focusing on the best pricing and ordering policy. The model's effectiveness is validated through mathematical proofs, numerical examples, and sensitivity analysis, aiming to optimize the retailer's net income.
Article
Operations Research & Management Science
R. Jiang
Summary: This paper proposes two approximations for the renewal functions of distribution functions, achieving high accuracy in the entire time range and small to moderate time range respectively through smooth connection and different parameter determination methods.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Engineering, Electrical & Electronic
Qingwen Xue, Ying Ying Xing, Kun Gao, Jian Lu, Xiaobo Qu
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE
(2023)
Article
Engineering, Civil
Haoran Chen, Xuedong Yan, Xiaobing Liu, Tao Ma
Summary: With the rapid development of internet technologies and shared mobility services, online ridesharing services have become popular worldwide. This study compares the operational performance of two major online ridesharing modes, ridesplitting and carpooling, using actual operating data provided by DiDi Chuxing. The findings indicate that ridesplitting has lower fuel-saving and distance-saving ratios compared to carpooling, and online ridesharing is not considered fuel-saving in terms of transportation system's fuel economy.
Article
Computer Science, Interdisciplinary Applications
Long Chen, Peng Xu, Xuedong Yan, Reginald R. Souleyrette, Teng (Alex) Wang
Summary: This paper introduces a Multi-objective Periodic Generalized Directed Rural Postman Problem under Length Restrictions with Intermediate Facilities (MO-PGDRPPLRIF) applied in the metro track inspection routing problem, and proposes a novel multi-objective evolutionary algorithm LIP-ASD to solve the problem. The testing and real-world application confirm the effectiveness of the proposed approach, which outperforms other similar algorithms.
COMPUTERS & OPERATIONS RESEARCH
(2023)
Article
Engineering, Civil
Ziling Zeng, Xiaobo Qu
Summary: This study proposes a new mode of public transit that integrates passenger and freight transport to address transportation bottlenecks between urban and rural areas. By optimizing the bus schedule and minimizing travel costs, the efficiency of resource utilization is improved. Empirical evidence validates the effectiveness of this approach.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Review
Chemistry, Physical
Zengqi Zhang, Yantao Wang, Tao Liu, Gang Li, Jun Ma, Jianjun Zhang, Pengxian Han, Shanmu Dong, Xuedong Yan, Yue Tang, Guanglei Cui
Summary: Lithium-sulfur (Li-S) batteries have the potential to achieve an energy density of 500 Wh·kg(-1), but poor cycle stability due to the shuttle effect and safety concerns from flammable electrolytes hinder their practical application. Sulfide-based electrolytes can address these issues due to their low solubility to polysulfide, high ionic conductivity, and safety properties. This review focuses on the research progress of enhancing charge carrier transport in the composite cathode of solid-state Li-S batteries (SSLSBs). Materials with good conductivity and strategies optimizing interfacial contact and reducing interfacial resistance are crucial for improving the cycle stability of SSLSBs. Potential future research directions and prospects for SSLSBs with improved energy density and cycle performance are also discussed.
Article
Physics, Multidisciplinary
Yunlin Guan, Wang Xiang, Yun Wang, Xuedong Yan, Yi Zhao
Summary: The emerging customized bus (CB) provides personalized trip services for passengers with multiple-trip requests, optimizing the routing of CBs based on a loading-state-oriented state-space-time network-based bi-level programming model. The proposed model and algorithm, combining the genetic algorithm (GA) and the augmented Lagrangian relaxation-based dynamic programming algorithm, can adapt to passengers' personalized trip requests and improve the public transport service level. The results show that the method can optimize CB routing plans for passengers with multiple-trip requests and different network scales, ultimately reducing energy consumption and promoting sustainable development.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2023)
Article
Transportation
Haifeng Ding, Jinxian Weng, Bing Han
Summary: This study proposes an improved deep learning framework with a self-made dataset to detect seafarers' unsafe behaviors. The improved Cross Stage Partial (CSP) module is introduced to increase the detection speed, replacing the original CSP module in the traditional algorithm. The efficient channel attention (ECA) module is also added as the attention mechanism network in the backbone network of the conventional algorithm. The experiment results show that the proposed framework outperforms traditional object detection algorithms in detecting seafarers' unsafe behaviors due to its higher detection speed and accuracy.
JOURNAL OF TRANSPORTATION SAFETY & SECURITY
(2023)
Article
Engineering, Civil
Yongxing Wang, Chaoru Lu, Jun Bi, Qiuyue Sai, Xiaobo Qu
Summary: Battery electric buses (BEBs) are effective options for sustainable mobility, but their promotion is hindered by high lifecycle costs. In this research, a collaborative optimization model is developed to reduce costs by synchronously planning infrastructure procurement and fleet scheduling. A numerical case study demonstrates that the proposed model can effectively lower lifecycle costs and perform sensitivity analysis.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Environmental Sciences
Huajie Diao, Jianqiang Yang, Jie Hao, Xuedong Yan, Kuanhu Dong, Changhui Wang
Summary: Increased nitrogen deposition and altered precipitation regimes have significant interactive effects on carbon flux in saline-alkaline grasslands. The interaction of nitrogen addition and increased precipitation significantly improved ecosystem CO2 fluxes, with higher gross-ecosystem productivity and net ecosystem CO2 exchange. This interaction also stimulated water use efficiency, but had no significant effects on carbon use efficiency over four years. The effects of nitrogen addition on net ecosystem CO2 exchange were influenced by seasonal precipitation.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Automation & Control Systems
Yang Yu, Zhengbing He, Xiaobo Qu
Summary: A major shortcoming of conventional car-following models is the lack of consideration for prior driving actions. This research proposes a machine-learning-based methodology that utilizes high-resolution historical traffic data to predict vehicle movements accurately and efficiently. The proposed car-following model outperforms other models in terms of prediction accuracy and computational efficiency.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Transportation
Haonan Guo, Yun Wang, Pan Shang, Xuedong Yan, Yunlin Guan
Summary: This study focuses on the customised bus routing problem with passenger-to-station assignment (CBRP-PSA) aiming to minimize passengers' CB service access cost and the bus route cost simultaneously. A time-discretized multi-commodity network flow model is developed and decomposed into two solvable sub-problems through dualization. A Lagrangian-based heuristic solution algorithm is proposed to solve this problem effectively.
TRANSPORTMETRICA A-TRANSPORT SCIENCE
(2023)
Article
Engineering, Civil
Guanqun Wang, Licheng Zhang, Zhigang Xu, Runmin Wang, Syeda Mahwish Hina, Tao Wei, Xiaobo Qu, Ran Yang
Summary: In this study, we propose a fuel consumption prediction model called FuelNet, based on the long short-term memory (LSTM) neural networks. The model is developed using vehicle kinematics data and corresponding fuel consumption data. The accuracy of the prediction is analyzed based on different combinations of input variables, training set size, and sampling interval. The superior performance of FuelNet is demonstrated through comparison with five other models, and its applicability is tested in different driving scenarios.
JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS
(2023)
Letter
Multidisciplinary Sciences
Kai Wang, Aoyong Li, Xiaobo Qu
Editorial Material
Multidisciplinary Sciences
Kai Wang, Xiaobo Qu
Article
Chemistry, Physical
Taowen Dong, Jiudi Zhang, Ziyang Ai, Lin Ma, Bing Han, Zhanshuang Jin, Yali Wang, Jianhua Guo, Xuedong Yan, Junjie Li
Summary: Constructing high-performance cathode host materials is crucial for improving the efficiency of lithium-sulfur batteries. The use of porous carbon nanoreactors has gained attention due to their unique spatial structure and customizable reaction sites. However, the disordered pore distribution and surface catalysis in these materials restrict the performance of the batteries.
JOURNAL OF POWER SOURCES
(2023)
