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16th APCA International Conference on Automatic Control and Soft Computing, CONTROLO 2024

作者： Nicu, Theodor-Gabriel Stoican, Florin Ioan, Daniel Prodan, Ionela Department of Automatic Control and Systems Engineering Romania National University of Science and Technology "Politehnica" Bucharest 313 Splaiul Independenţei Bucharest060042 Romania Univ. Grenoble Alpes Grenoble INP Institute of Engineering and Management LCIS Valence26000 France

ISBN: (纸本)9783031817236

This work pertains to the generation of navigation functions for obstacle avoidance and target tracking. One initially defines a so-called spherical world which can be further mapped into many other different topologies using a series of diffeomorphic transformations. This specific configuration further allows one to exploit the main advantages of the sum function approach with respect to the obstacle collision avoidance capabilities of an agent, sum function which is used in order to induce an effective navigation function judging not only from computational perspective, but also from the local minima point of view. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Topology

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Prediction of LWST values using ML and ANN techniques from frcition and texture measuring devices based on long term field data

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International Journal of Transportation Science and Technology 2025年

作者： Alsheyab, Mohammad Ahmad Khasawneh, Mohammad Ali Alotaibi, Danah Hussain Mohammed, Nayeemuddin Khasawneh, Ahmad Ali Graduate Research Assistant of Iowa State University Department of Civil Construction and Environmental Engineering AmesIA United States Civil Engineering Department Prince Mohammad Bin Fahd University Al Khobar31952 Saudi Arabia Management Engineering and Process Improvement Department/Integrated Systems Engineering Department Ohio State University Wexner Medical Center & Ohio State University ColumbusOH43202 United States

Given the cost, time requirements, and limited accessibility of Locked Wheel Skid Trailer (LWST) testing, this research explores alternative approaches to predicting skid number (SN) using more affordable and readily available devices. These alternatives offer quicker results, which is particularly relevant given the standardized nature of skid number measurements worldwide. The study focuses on predicting the (SN) generated by the LWST test through analyzing data from Dynamic Friction Tester (DFT), British Pendulum Tester (BPT), and Circular Texture Meter (CTM) using statistical and machine learning techniques. The research includes a thorough assessment of various prediction methods and factors influencing skid number accuracy, including strategies for handling missing data. Prediction models employ Multiple Linear Regression (MLR), Support Vector Machine (SVM), Artificial Neural Network (ANN), and Ensemble Bagged Tree (EBT) techniques, utilizing predictors such as Dynamic Friction Number at 20 km/h (DFT20), Dynamic Friction Number at 64 km/h (DFT64), British Pendulum Number (BPN), and Mean Profile Depth (MPD). The development of forty-eight models, including Full, Reduced, and individual predictor models, involved employing data imputation methods and stepwise regression. Significant correlations were observed among friction parameters, with DFT20 showing the highest correlation with skid numbers, while MPD exhibited the lowest. Following data imputation, notable enhancements in BPN's correlation were noted. The study emphasizes the superiority of Full models in skid number prediction accuracy, with EBT models, especially those enhanced by data imputation, demonstrating outstanding performance. Statistical simulations confirmed the reliability of these models, indicating minimal outliers, overfitting, and high accuracy in skid number estimation. The prioritization of DFT over BPT and CTM is highlighted, with the potential for further exploration of devices to imp

关键词： Pendulums

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Superacid assisted high-throughput production and solution-processing of pristine two-dimensional materials

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Materials Today 2025年 86卷 228-237页

作者： Deng, Qixuan Ma, Jiabin Liu, Minsu Zhou, Yicong Ding, Siyuan Zhan, Ke Zhu, Yuan Xiong, Zhiyuan Su, Yang Yu, Kuang Cheng, Hui-Ming Qiu, Ling Shenzhen Geim Graphene Center Tsinghua Shenzhen International Graduate School Tsinghua University Shenzhen518055 China Laboratory for Simulation and Modelling of Particulate Systems Department of Chemical Engineering Department of Materials Science and Engineering Monash University VIC3800 Australia Monash Suzhou Research Institute Monash University Suzhou Suzhou SIP215000 China School of Microelectronics Southern University of Science and Technology Shenzhen518055 China School of Light Industry and Engineering South China University of Technology Guangzhou510640 China Shenzhen Key Lab of Energy Materials for Carbon Neutrality Shenzhen Institute of Advanced Technology Chinese Academy of Sciences 1068 Xueyuan Road Shenzhen518055 China Faculty of Materials Science and Energy Engineering Shenzhen University of Advanced Technology 291 Louming Road Shenzhen518107 China

Pristine two-dimensional (2D) materials have a multitude of interesting properties, promising a broad spectrum of applications. However, their poor affinity for common solvents and tendency to aggregate impede their effective exfoliation and solution-processing into various structures, such as fibers and membranes, thus limiting their practical use. We report a high-efficiency method for producing pristine 2D nanosheets by direct high-speed shearing exfoliation in trifluoromethanesulfonic acid (TfOH). Typically, this method produces hexagonal boron nitride nanosheets (BNNSs) with an unprecedented throughput of 38.8 mg mL-1h−1. The effective exfoliation is attributed to the strong binding affinity, large dipole moment and steric repulsion of TfOH, which collectively introduce layer edge distortion in hexagonal boron nitride (hBN), facilitating its exfoliation. The mechanical exfoliation and reversible edge interaction introduce no additional functional groups to the exfoliated BNNSs. The resulting pristine BNNS exhibit remarkable stability in TfOH solutions at ultrahigh concentrations of 200 mg mL−1 for over 28 days. The viscosity of the highly concentrated BNNS/TfOH dispersion can be adjusted, enabling techniques to produce BNNS-based spheres, fibers, and membranes with high thermal conductivity and mechanical strength, suitable for advanced thermal management applications. Room temperature processed BNNS-based spheres exhibit superior thermal conductivity compared to high temperature processed commercially available hBN or Al2O3 spheres. Moreover, TfOH can also be used to assist the efficient production and solution-processing of other 2D nanosheets, including graphene, molybdenum disulfide and tungsten disulfide, enabling the fabrication of high-quality bulk assemblies. © 2025 Elsevier Ltd

关键词： Molybdenum disulfide

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Reconfigurable Three-Dimensional Thermal Dome

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engineering 2025年第3期46卷 236-244页

作者： Yuhong Zhou Fubao Yang Liujun Xu Pengfei Zhuang Dong Wang Xiaoping Ouyang Ying Li Jiping Huang State Key Laboratory of Surface Physics&Key Laboratory of Micro-and Nano-Photonic Structures(Ministry of Education) Department of PhysicsFudan UniversityShanghai 200438China Graduate School of China Academy of Engineering Physics Beijing 100193China International Joint Innovation Center The Electromagnetics Academy at Zhejiang UniversityZhejiang UniversityHaining 314400China State Key Laboratory of Extreme Photonics and Instrumentation&Key Laboratory of Advanced Micro-Nano Electronic Devices and Smart Systems and Applications of Zhejiang Province Zhejiang UniversityHangzhou 310027China School of Materials Science and Engineering Xiangtan UniversityXiangtan 411105China

Thermal metamaterial represents a groundbreaking approach to control heat conduction,and,as a crucial component,thermal invisibility is of utmost importance for heat *** the flourishing development of thermal invisibility schemes,they still face two limitations in practical ***,objects are typically completely enclosed in traditional cloaks,making them difficult to use and unsuitable for objects with heat ***,although some theoretical proposals have been put forth to change the thermal conductivity of materials to achieve dynamic invisibility,their designs are complex and rigid,making them unsuitable for large-scale use in real threedimensional(3D)***,we propose a concept of a thermal dome to achieve 3D *** scheme includes an open functional area,greatly enhancing its usability and *** features a reconfigurable structure,constructed with simple isotropic natural materials,making it suitable for dynamic *** performance of our reconfigurable thermal dome has been confirmed through simulations and experiments,consistent with the *** introduction of this concept can greatly advance the development of thermal invisibility technology from theory to engineering and provide inspiration for other physical domains,such as direct current electric fields and magnetic fields.

关键词： Thermal domes Reconfigurable metamaterials Three-dimensional invisibility

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A Cholesky decomposition-based asset selection heuristic for sparse tangent portfolio optimization

arXiv

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arXiv 2025年

作者： Bae, Hyunglip Jeon, Haeun Park, Minsu Lee, Yongjae Kim, Woo Chang Department of Industrial and Systems Engineering KAIST Korea Republic of Graduate School of Data Science KAIST Korea Republic of Department of Industrial Engineering UNIST Korea Republic of Artificial Intelligence Graduate School UNIST Korea Republic of

In practice, including large number of assets in mean-variance portfolios can lead to higher transaction costs and management fees. To address this, one common approach is to select a smaller subset of assets from the larger pool, constructing more efficient portfolios. As a solution, we propose a new asset selection heuristic which generates a pre-defined list of asset candidates using a surrogate formulation and re-optimizes the cardinality-constrained tangent portfolio with these selected assets. This method enables faster optimization and effectively constructs portfolios with fewer assets, as demonstrated by numerical analyses on historical stock returns. Finally, we discuss a quantitative metric that can provide a initial assessment of the performance of the proposed heuristic based on asset covariance. © 2025, CC BY.

关键词： Constrained optimization

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Mental Status Identification for Infertile Patients Using Artificial Intelligence Models 14th

Mental Status Identification for Infertile Patients Using Ar...

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14th International Conference on Frontier Computing, FC 2024

作者： Hsu, Hao-Siang Wang, Jong-Yi Chiou, Hai-Chi Wu, Fu-Hsing Lin, Chuen-Horng Chan, Yung‑Kuan Department of Computer Science and Information Engineering National Taichung University of Science and Technology Taichung404336 Taiwan Department of Health Services Administration China Medical University Taichung406040 Taiwan Bachelor Degree Program of Artificial Intelligence National Taichung University of Science and Technology Taichung404336 Taiwan Department of Management Information Systems National Chung-Hsing University Taichung402202 Taiwan

ISBN: (纸本)9789819623945

Infertile patients may be a high-risk group of mental disorder. The precise identification of the mental status of infertile patients can provide decision support to healthcare professionals and may be helpful in providing preventive measures accordingly. Rare studies focused on the mental status identification using artificial intelligence (AI) models for infertile people. This study aimed to precisely identify the mental status (anxiety and depression) of infertile patients using three AI models, the XGBoost, decision tree, and stacking models. The dataset, retrieved from a structured questionnaire survey in 2011, which included 400 infertility outpatients seeking reproductive treatments at three teaching hospitals in Taiwan was adopted for training and testing AI models. Aforementioned AI models were designed and reached identification performances of accuracy, precision, recall and area under ROC curve (AUC) equaling 0.75–0.82, 0.70–0.80, 0.64–0.72, and 0.64–0.72, respectively. The XGBoost model (accuracy = 0.82, precision = 0.80, recall = 0.72, and AUC = 0.72) outperformed or equaled the decision tree and stacking models in terms of accuracy, precision, recall, and AUC values. Designed AI models for mental status identification can be integrated into the clinical decision support system (CDSS) to provide the anxiety and depression group automatically. Accordingly, the worsening of infertility-related anxiety and depression can be prevented. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： artificial intelligence infertile patients Mental status identification stacking model XGBoost

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Optimizing MapReduce efficiency and reducing complexity with enhanced particle Swarm Optimization (MR-MPSO)

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Swarm and Evolutionary Computation 2025年 95卷

作者： Diwaker, Chander Hasanpuri, Vijay Gulzar, Yonis Sharma, Bhanu Department of Computer Science and Engineering University Institute of Engineering and Technology Kurukshetra University Kurukshetra India Department of Management Information Systems College of Business Administration King Faisal University Al-Ahsa31982 Saudi Arabia Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

Big data's explosive growth poses serious data management difficulties, especially given the data's unequal distribution across massive databases. Because of this mismatch, traditional software systems are less effective, which leads to complex and wasteful data processing. We provide MapReduce-Modified Particle Swarm Optimization (MR-MPSO), a unique optimization technique, to tackle this problem. This strategy not only improves the administration of enormous datasets but also tackles the complexity issue of data imbalance. The MR framework is used to handle large-scale data processing tasks, with MR-MPSO driving the map and reducing functions. Our technique combines adaptive inertia weight with Particle Swarm Optimization (PSO) to improve the accuracy and efficiency of optimization for 10 unimodal and multimodal benchmark functions. MR-MPSO outperforms four optimization algorithms—MR K-means, MR bat, MR whale, and regular MR-on measures such as fitness value mean, median, and standard deviation. Furthermore, MR-MPSO regularly enhances throughput and average I/O rate, especially in complex write operations, with gains ranging from 1.4 % to 28.9 % in throughput and 2.1 % to 17.7 % in I/O rate over typical MR approaches. © 2025

关键词： MapReduce

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Predictive Vehicle Control at Intersections with Look-Ahead Driving Approach

Predictive Vehicle Control at Intersections with Look-Ahead ...

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SICE International Symposium on Control systems (ISCS)

作者： Atykhan Magzhan Md Delowar Hossain A. S. M. Bakibillah Md Abdus Samad Kamal Kou Yamada Graduate School of Science and Technology Gunma University Kiryu Japan Department of Systems and Control Engineering Institute of Science Tokyo Tokyo Japan

ISBN: (数字)9784907764852

ISBN: (纸本)9798331533502

This paper presents a look-ahead vehicle control scheme for efficient traffic management at signalized inter-sections. The proposed scheme predicts future driving states with a look-ahead approach as an extended adaptive cruise control (ACC) model. It maintains car-following behavior similar to human driving while predicting future states of traffic flow to minimize intersection clearing time and aggressive braking independently, similar to model predictive control (MPC) approaches. In contrast to MPC models that are computationally demanding and have limited practical applications due to real-time constraints, the proposed scheme uses a modified Intelligent Driver Model (IDM) with predictive adjustments. The efficiency of the control scheme is evaluated through simulations with multiple vehicles in intersection traffic scenarios, focusing on maintaining safe time headway within a traffic flow and ensuring efficient flows with higher intersection throughput. Comparative results indicate improvements in intersection clearance, human-like vehicle headway management, and enhanced traffic flow performance.

关键词： Adaptation models Computational modeling Heuristic algorithms Predictive models Prediction algorithms Real-time systems Safety Vehicle dynamics Predictive control Vehicles

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Extremum Seeking Boundary Control for Euler-Bernoulli Beam PDEs

arXiv

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arXiv 2025年

作者： Biazetto, Paulo H.F. de Andrade, Gustavo A. Oliveira, Tiago Roux Krstic, Miroslav Post-graduate Program in Automation and Systems Engineering Federal University of Santa Catarina Florianópolis88040-370 Brazil Department of Automation and Systems Engineering Federal University of Santa Catarina Florianópolis88040-370 Brazil Department of Electronics and Telecommunication Engineering State University of Rio de Janeiro Rio de Janeiro20550-900 Brazil Department of Mechanical and Aerospace Engineering University of California San DiegoCA92093-0411 United States

This paper presents the design and analysis of an extremum seeking (ES) controller for scalar static maps in the context of infinite-dimensional dynamics governed by the 1D Euler-Bernoulli (EB) beam Partial Differential Equation (PDE). The beam is actuated at one end (using position and moment actuators). The map’s input is the displacement at the beam’s uncontrolled end, which is subject to a sliding boundary condition. Notably, ES for this class of PDEs remains unexplored in the existing literature. To compensate for PDE actuation dynamics, we employ a boundary control law via a backstepping transformation and averaging-based estimates for the gradient and Hessian of the static map to be optimized. This compensation controller leverages a Schrödinger equation representation of the EB beam and adapts existing backstepping designs to stabilize the beam. Using the semigroup and averaging theory in infinite dimensions, we prove local exponential convergence to a small neighborhood of the unknown optimal point. Finally, simulations illustrate the effectiveness of the design in optimizing the unknown static map. Copyright © 2025, The Authors. All rights reserved.

关键词： Schrodinger equation

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Hybrid IT Project management Methodology Based on Best Practices of Project management and Critical Success Factors Influencing IT Project management 8th

Hybrid IT Project Management Methodology Based on Best Pract...

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8th International Conference on Intelligent Technologies, ICIT 2023

作者： Hayashida-Marchinares, Augusto Herrera, Jose Rivera, Luis Rodriguez, Ciro Rodriguez Krupa, Miroslav Ph. D. Program of the Faculty of Systems Engineering and Informatics Universidad Nacional Mayor de San Marcos Lima Peru Laboratory of Mathematical Sciences Center of Sciences and Technologies Universidade Estadual Do Norte Fluminense-UENF Rio de Janeiro Brazil Department of Management Faculty of Business Administration Prague University of Economics and Business Prague Czech Republic

ISBN: (纸本)9789819738588

Information Technology (IT) project management is important for the growth of organizations. It involves planning and executing projects to achieve strategic objectives. This paper reviews IT project management methodologies and critical success factors to identify best practices for project success. This paper uses a literature review and analysis of the current state of the art of IT project management methodologies. A total of 39 articles were selected and reviewed. The results of the review include a comparison of the main IT project management methodologies and the critical success factors for project success. The conclusion of the paper is that Hybrid Project management Models are a promising approach for IT project management. This approach combines the foundations and best practices of traditional and agile project management methodologies, making it well-suited for the complex and dynamic nature of IT projects. Additionally, the paper identifies the following critical success factors for IT project success: Clear and well-defined project objectives, Effective communication and collaboration between stakeholders, Appropriate risk management and contingency planning, Strong leadership and project management skills and Adequate resources and support. By understanding and addressing these critical success factors, organizations can increase their chances of success in IT projects. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Project management

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