Results 41 to 50 of about 106,762 (106)

An Improved Adaptive Car-Following Model Based on the Unscented Kalman Filter for Vehicle Platoons’ Speed Control

Machines
This study proposes an adaptive car-following model based on the unscented Kalman filter algorithm to enable coordinated speed control in vehicle platoons and to address key limitations present in conventional car-following models.
Caixia Huang, Wu Tang, Jiande Wang, Zhiyong Zhang   +3 more
doaj   +1 more source

Ensemble Learning-Based Metamodel for Enhanced Surface Roughness Prediction in Polymeric Machining

Machines
This paper proposes and demonstrates a domain-adapted ensemble machine learning approach for enhanced prediction of surface roughness (Ra) during the machining of polymeric materials.
Elango Natarajan, Manickam Ramasamy, Sangeetha Elango, Karthikeyan Mohanraj, Chun Kit Ang, Ali Khalfallah   +5 more
doaj   +1 more source

Influence of the Drilling Parameters in the Single-Lip Deep-Hole Drilling Process on the Surface Integrity of Nickel-Based Alloy

Machines
Single-lip deep-hole drilling is a key technology for the precision machining of high-temperature nickel-based alloy pore structures in aero engines.
Tao Wu, Fangchao Zhang, Haoguang Zhou, Dong Zhang   +3 more
doaj   +1 more source

Storiografia repubblicana fiorentina : 1494-1570; Historiographie républicaine florentine (1494-1570)

, 2003
Actes du colloque : Historiographie républicaine florentine (1494-1570).
Marchand, Jean-Jacques, Zancarini, Jean-Claude   +1 more
core  

Human–Seat–Vehicle Multibody Nonlinear Model of Biomechanical Response in Vehicle Vibration Environment

Machines
Especially in real-world circumstances with uneven road surfaces and impulsive shocks, nonlinear dynamic effects in vehicle systems can greatly skew biometric data utilized to track passenger and driver physiological states.
Margarita Prokopovič, Kristina Čižiūnienė, Jonas Matijošius, Marijonas Bogdevičius, Edgar Sokolovskij   +4 more
doaj   +1 more source

Nonblocking Modular Supervisory Control of Discrete Event Systems via Reinforcement Learning and K-Means Clustering

Machines
Traditional supervisory control methods for the nonblocking control of discrete event systems often suffer from exponential computational complexity.
Junjun Yang, Kaige Tan, Lei Feng
doaj   +1 more source

Selected Papers from 2017 International Conference on Micro/Nanomachines

, 2018
The 2017 International Conference on Micro/Nanomachines (http://www.icmnm.org/) was held in Wuhan, China, 25–28 August, 2017. Micro/nanomotors (MNMs), which are defined as micro/nanodevices capable of converting energy into autonomous motion, can be used
Jianguo Guan (Ed.), Fangzhi Mou (Ed.)
core   +1 more source

Design and Electromagnetic Performance Optimization of a MEMS Miniature Outer-Rotor Permanent Magnet Motor

Micromachines
In this study, we present the design and electromagnetic performance optimization of a micro-electromechanical system (MEMS) miniature outer-rotor permanent magnet motor.
Kaibo Lei, Haiwang Li, Shijia Li, Tiantong Xu   +3 more
doaj   +1 more source

Study on Self-Sharpening Mechanism and Polishing Performance of Triethylamine Alcohol on Gel Polishing Discs

Micromachines
To address the issue of surface glazing that occurs during prolonged polishing with gel tools, this study employs a triethanolamine (TEA)-based polishing fluid system to enhance the self-sharpening capability of the gel polishing disc.
Yang Lei, Lanxing Xu, Kaiping Feng
doaj   +1 more source

1570. Chronicon Magalonense vetus

, 1902
1570. Chronicon Magalonense vetus. In: Molinier Auguste. Les Sources de l'histoire de France - Des origines aux guerres d'Italie (1494). II. Époque féodale, les Capétiens jusqu'en 1180. Paris : A. Picard et fils, 1902.
Molinier, Auguste
core   +1 more source