Article
Computer Science, Artificial Intelligence
Firuz Kamalov
Summary: The paper introduces a feature selection algorithm based on orthogonal variance decomposition, efficiently considering feature interactions and demonstrating good performance in numerical experiments.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Management
Florin Leutwiler, Francesco Corman
Summary: Railway timetable planning is crucial for the successful operation of a railway network. This study introduces a logic Benders decomposition approach to solve the challenging problem of microscopic railway timetable planning. The proposed method shows improved scalability compared to existing benchmark approaches, as demonstrated through experiments on real-world cases of the Swiss Federal Railways.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Engineering, Electrical & Electronic
Ruopeng Yan, Xun Liu, Shuang Zhao, Chi Zhang, Liang Wang, Yaxiaer Yalikun, Du Wang, Cheng Lei
Summary: Edible oil plays an important role in the global diet and its quality directly affects our health. However, current available detection methods are expensive and not suitable for underdeveloped areas. In this study, a disposable sensor was designed and fabricated to detect edible oil by measuring the refractive index, providing high sensitivity and efficiency.
IEEE SENSORS JOURNAL
(2023)
Article
Chemistry, Multidisciplinary
Daniel Bustos, Christian Galarza, Wilson Ordonez, Sebastian Brauchi, Bruna Benso
Summary: Transient receptor potential (TRP) channels are important membrane receptors associated with sensory pathways in vertebrates. TRPV1, a widely studied polymodal receptor, is highly sensitive and selective for capsaicin, which can detect heat and pungent compounds. Inhibition of nociceptive transduction through targeting TRPV1 offers a potential approach to pain relief. The development of compounds modulating TRPV1 activity has rapidly expanded, with most drugs interacting near capsaicin's binding site.
Article
Chemistry, Multidisciplinary
Hao Ding, Xuhui He, Haiquan Jing, Xiaoping Wu, Xiaojun Weng
Summary: The new cable-supported photovoltaic system (CSPS) is a cost-effective and efficient alternative to traditional PV support systems. It offers advantages such as light weight, large span, and short construction period.
APPLIED SCIENCES-BASEL
(2023)
Article
Chemistry, Multidisciplinary
Yao Wang, Yuanfeng Cai, Xiaomin Hu, Xinqin Gao, Shujuan Li, Yan Li
Summary: This study proposes a new method to measure the influence of component failure rate uncertainty on the uncertainty of aircraft electrical power system reliability. The effectiveness of the method is validated through experiments. The method provides theoretical guidance for power system design, helping to shorten the development cycle and ensure flight safety.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Multidisciplinary
Raja Yasir Mehmood Khan, Rahim Ullah, Muhammad Faisal
Summary: A cost-effective fiber Bragg grating (FBG) temperature sensor package was developed with U-shaped and capillary shape probes and different demodulation schemes. The temperature sensitivities of the probes were measured and showed good repeatability and negligible hysteresis. The range of the intensity demodulation scheme was increased up to 181.50℃ with a resolution of 0.120℃ by using a CFBG-FBG demodulation scheme.
MEASUREMENT SCIENCE AND TECHNOLOGY
(2023)
Article
Business, Finance
Tingting Cheng, Junli Liu, Wenying Yao, Albert Bo Zhao
Summary: This paper investigates the impact of the COVID-19 pandemic on the connectedness network of stock market volatility in 19 economies worldwide. The study finds that the outbreak of the pandemic strengthens overall volatility connectedness and the global connectedness level remains high, with China being disconnected from the global volatility connectedness network for a period of time.
PACIFIC-BASIN FINANCE JOURNAL
(2022)
Article
Engineering, Industrial
Zhenqiang Wang, Gaofeng Jia
Summary: This paper proposes an extended sample-based approach for efficient sensitivity analysis. The original sample-based approach could only estimate sensitivity indices for individual and low-dimensional inputs, making it challenging to estimate sensitivity indices for high-dimensional groups of inputs. The proposed approach converts estimating the sensitivity index for high-dimensional groups of inputs to estimating the sensitivity indices for individual inputs and their lower-order interactions using variance decomposition. Different estimators are proposed to reduce error and improve estimation accuracy. The proposed approach demonstrates good efficiency and accuracy through three benchmark examples.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2023)
Article
Chemistry, Analytical
Chengzhuang Yu, Shanshan Li, Chunyang Wei, Shijie Dai, Xinyi Liang, Junwei Li
Summary: This article introduces the design of a portable and low-cost fluorescence microscope and evaluates its performance. The microscope is capable of bright-field and fluorescence imaging with micron-level resolution. By using 3D print components and a webcam, the microscope is assembled at a low cost.
Article
Multidisciplinary Sciences
Harkirat Kaur, Sarita Singla
Summary: This study investigates the sensing range of a PZT patch in concrete using the EMI technique and sensitivity analysis based on the variance decomposition method. The results show that the average sensing range of the PZT patch is between 0.200 and 0.300 m.
ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING
(2023)
Article
Engineering, Industrial
Shufang Song, Zhiwei Bai, Sergei Kucherenko, Lu Wang, Caiqiong Yang
Summary: Global sensitivity measures based on quantiles of the output are efficient in measuring the effect of input variables and identifying the most important inputs for achieving specific values of the model output. The SS-IS method, originally used for small failure probability problems, can be effectively applied to estimate quantile global sensitivity measures, outperforming the previously proposed Monte Carlo method in terms of efficiency.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2021)
Article
Automation & Control Systems
Tao Wen, Quanbo Ge, Xinan Lyu, Lei Chen, Costas Constantinou, Clive Roberts, Baigen Cai
Summary: This research proposes a novel methodology for wireless network migration in the Data Communication System (DCS) of radio-based train control systems, aiming to maintain high-security performance while reducing the network migration cost when updating from GSM-R to LTE.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2021)
Article
Management
Emanuele Borgonovo, Giovanni Rabitti
Summary: This study reveals the connection between local main effects of screening methods and global sensitivity measures. It introduces a mirroring effect that calculates the difference between local main effects and local total effects to obtain an overall local interaction index. Furthermore, the exact relationship between Morris sensitivity measures and Sobol' total indices is derived, and its implications on the choice of the sampling scheme are discussed.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2023)
Article
Thermodynamics
Xiaoyu Wang, Mingze Su, Haibo Zhao
Summary: Chemical looping ammonia generation (CLAG) utilizes nitrogen carriers for N-2 fixation and hydrolysis reactions, offering low-pressure, low energy consumption, and high ammonia yield. The system model with a capacity of 300,000 t/a was established, and optimal operation conditions were determined through sensitivity analyses. The exergy efficiency of the system reached about 26%, with further improvement needed in air separation unit, N-2 fixation reactor, and compression and purification unit.
Article
Computer Science, Interdisciplinary Applications
Nikola Besinovic, Rob M. P. Goverde, Egidio Quaglietta
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
(2017)
Article
Economics
Vincenzo Punzo, Marcello Montanino
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2016)
Article
Transportation Science & Technology
Francesco Corman, Egidio Quaglietta, Rob M. P. Goverde
TRANSPORTATION PLANNING AND TECHNOLOGY
(2018)
Editorial Material
Engineering, Civil
Vincenzo Punzo, Vittorio Marzano, Fulvio Simonelli
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2018)
Article
Economics
Carolina Osorio, Vincenzo Punzo
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2019)
Article
Transportation Science & Technology
Vincenzo Punzo, Marcello Montanino
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2020)
Article
Economics
Marcello Montanino, Vincenzo Punzo
Summary: This study proposes a method to enhance the stability of traffic flow by considering the heterogeneity of drivers and vehicles in mixed traffic. By introducing uncertain transfer functions, the research maps the probability distributions of car-following model parameters into an L-2 stability measure in order to analyze and improve the stability of traffic flow.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2021)
Article
Economics
Marcello Montanino, Julien Monteil, Vincenzo Punzo
Summary: This paper investigates the impact of heterogeneity of drivers' and vehicles characteristics on platoon stability. The results suggest that while heterogeneous platoons are generally more unstable, the degree of string instability in unstable platoons is higher in a homogeneous flow. The study highlights the importance of modeling traffic heterogeneity to accurately characterize the string stability of mixed traffic flows.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2021)
Article
Transportation Science & Technology
Vincenzo Punzo, Zuduo Zheng, Marcello Montanino
Summary: The study proposes a methodology based on Pareto-efficiency and indifference curves to compare and rank objective functions for car-following dynamics. Consistent results from calibration experiments have led to the recommendation of a robust guideline for car-following calibration, including suggestions on what settings to avoid and which ones to adopt. Sharing of codes and data from the study aims to promote transparent and reproducible research.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2021)
Article
Engineering, Civil
C. Fiori, V. Marzano, V. Punzo, M. Montanino
Summary: This paper investigates the behavior of an energy consumption model for electric vehicles under input uncertainty arising from heterogeneous driving behaviors, traffic conditions, and technology performances. The study shows that driving behaviors and traffic flow dynamics have the greatest impact on simulated consumption, while vehicle weight and auxiliary systems become more influential at lower speeds.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Transportation
Egidio Quaglietta, Panagiotis Spartalis, Meng Wang, Rob M. P. Goverde, Paul van Koningsbruggen
Summary: This paper introduces the concept of Virtual Coupling train operations and addresses the concern of safety violations. By using a dynamic safety margin, train separations can be adjusted to maintain safe distances even during operational hazards, leading to increased capacity and safer operations.
JOURNAL OF RAIL TRANSPORT PLANNING & MANAGEMENT
(2022)
Article
Engineering, Civil
Nikola Besinovic, Yihui Wang, Songwei Zhu, Egidio Quaglietta, Tao Tang, Rob M. P. Goverde
Summary: This paper proposes an integrated disruption management model that combines train rescheduling and passenger flow control to quickly recover train operation and reduce passenger waiting time outside stations. An iterative metaheuristic approach is used to solve the integrated disruption management problem, demonstrating the effectiveness of the solution method.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Engineering, Civil
Rafael Mendes Borges, Egidio Quaglietta
Summary: The Hyperloop is a concept of ground transportation system aiming to provide a fast, inexpensive, and sustainable alternative. While a theoretical investigation shows that Virtual Coupling may be a more satisfactory operational concept offering higher transport capacity while respecting safety and comfort standards.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Transportation
R. N. van Lieshout, J. M. van den Akker, R. Mendes Borges, T. Druijf, E. Quaglietta
Summary: This paper analyzes the effectiveness of decentralized strategies for dispatching rolling stock and train drivers in a railway system, and finds that such strategies can ensure the target frequencies of the lines and highly regular train services, with strategies allowing rolling stock to switch between lines performing better.
JOURNAL OF RAIL TRANSPORT PLANNING & MANAGEMENT
(2022)
Article
Transportation
Ziyulong Wang, Egidio Quaglietta, Maarten G. P. Bartholomeus, Rob M. P. Goverde
Summary: This paper proposes and evaluates different ATO architecture configurations to improve capacity and punctuality in railways. The analysis shows that different configurations have diverse advantages and limitations depending on railway governance and technological development. Additionally, a scientific argumentation is provided for the ATO-over-ETCS architecture being developed by the European Union Agency for Railways.
JOURNAL OF RAIL TRANSPORT PLANNING & MANAGEMENT
(2022)
Article
Transportation Science & Technology
Yue Zhao, Liujiang Kang, Huijun Sun, Jianjun Wu, Nsabimana Buhigiro
Summary: This study proposes a 2-population 3-strategy evolutionary game model to address the issue of subway network operation extension. The analysis reveals that the rule of maximum total fitness ensures the priority of evolutionary equilibrium strategies, and proper adjustment minutes can enhance the effectiveness of operation extension.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2024)
Article
Transportation Science & Technology
Hongtao Hu, Jiao Mob, Lu Zhen
Summary: This study investigates the challenges of daily storage yard management in marine container terminals considering delayed transshipment of containers. A mixed-integer linear programming model is proposed to minimize various costs associated with transportation and yard management. The improved Benders decomposition algorithm is applied to solve the problem effectively and efficiently.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2024)
Article
Transportation Science & Technology
Zhandong Xu, Yiyang Peng, Guoyuan Li, Anthony Chen, Xiaobo Liu
Summary: This paper studied the impact of range anxiety among electric vehicle drivers on traffic assignment. Two types of range-constrained traffic assignment problems were defined based on discrete or continuous distributed range anxiety. Models and algorithms were proposed to solve the two types of problems. Experimental results showed the superiority of the proposed algorithm and revealed that drivers with heightened range anxiety may cause severe congestion.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2024)
Article
Transportation Science & Technology
Chuanjia Li, Maosi Geng, Yong Chen, Zeen Cai, Zheng Zhu, Xiqun (Michael) Chen
Summary: Understanding spatial-temporal stochasticity in shared mobility is crucial, and this study introduces the Bi-STTNP prediction model that provides probabilistic predictions and uncertainty estimations for ride-sourcing demand, outperforming conventional deep learning methods. The model captures the multivariate spatial-temporal Gaussian distribution of demand and offers comprehensive uncertainty representations.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2024)
Article
Transportation Science & Technology
Benjamin Coifman, Lizhe Li
Summary: This paper develops a partial trajectory method for aligning views from successive fixed cameras in order to ensure high fidelity with the actual vehicle movements. The method operates on the output of vehicle tracking to provide direct feedback and improve alignment quality. Experimental results show that this method can enhance accuracy and increase the number of vehicles in the dataset.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2024)
Article
Transportation Science & Technology
Mohsen Dastpak, Fausto Errico, Ola Jabali, Federico Malucelli
Summary: This article discusses the problem of an Electric Vehicle (EV) finding the shortest route from an origin to a destination and proposes a problem model that considers the occupancy indicator information of charging stations. A Markov Decision Process formulation is presented to optimize the EV routing and charging policy. A reoptimization algorithm is developed to establish the sequence of charging station visits and charging amounts based on system updates. Results from a comprehensive computational study show that the proposed method significantly reduces waiting times and total trip duration.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
(2024)
