|
|
|
|
|
Depeng Gao, Shuai Wang, Yuwei Yang, Haifei Zhang, Hao Chen, Xiangxiang Mei, Shuxi Chen and Jianlin Qiu
Servo motors play an important role in automation equipment and have been used in several manufacturing fields. However, the commonly used control methods need their parameters to be set manually, which is rather difficult, and this means that these meth...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mattia Chiappini, Carla Dei, Ettore Micheletti, Emilia Biffi and Fabio Alexander Storm
In recent years, the number of applications of virtual reality (VR) for the Autism spectrum disorder (ASD) population has increased and has become one of the most suitable tools to address the psychological needs of these individuals. The present scoping...
ver más
|
|
|
|
|
|
|
|
|
|
|
Gokhan Gungor and Mehdi Afshari
In this study, a sensorimotor controller is designed to characterize the required muscle force to enable a robotics system to perform a human-like circular movement. When the appropriate muscle internal forces are chosen, the arm end-point tracks the des...
ver más
|
|
|
|
|
|
|
|
|
|
|
Michail Danousis and Christos Goumopoulos
With age, a decline in motor and cognitive functionality is inevitable, and it greatly affects the quality of life of the elderly and their ability to live independently. Early detection of these types of decline can enable timely interventions and suppo...
ver más
|
|
|
|
|
|
|
|
|
|
|
Seok-Hwan Oh, Tae-Seong Roh and Hyoung Jin Lee
This study was focused on the configuration design of a star grain by using machine learning in the optimal design process. The key to optimizing the grain design is aimed at obtaining a set of configuration variables that satisfy the requirements. The o...
ver más
|
|
|
|
|
|
|
|
|
|
|
Fengyuan Yin, Xiaoming Yuan, Zhiao Ma and Xinyu Xu
Permanent magnet synchronous motor (PMSM) drive systems are commonly utilized in mobile electric drive systems due to their high efficiency, high power density, and low maintenance cost. To reduce the tracking error of the permanent magnet synchronous mo...
ver más
|
|
|
|
|
|
|
|
|
|
|
George Tzougas and Konstantin Kutzkov
We developed a methodology for the neural network boosting of logistic regression aimed at learning an additional model structure from the data. In particular, we constructed two classes of neural network-based models: shallow?dense neural networks with ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yongdong Wang, Haonan Zhai, Xianghong Cao and Xin Geng
The number of motor vehicles on the road is constantly increasing, leading to a rise in the number of traffic accidents. Accurately identifying the factors contributing to these accidents is a crucial topic in the field of traffic accident research. Most...
ver más
|
|
|
|
|
|
|
|
|
|
|
Abu Shad Ahammed, Aniebiet Micheal Ezekiel and Roman Obermaisser
During an emergency rescue operation, rescuers have to deal with many different health complications like cardiovascular, respiratory, neurological, psychiatric, etc. The identification process of the common health complications in rescue events is not v...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jovan Menezes and Timothy Sands
Discretization is the process of converting a continuous function or model or equation into discrete steps. In this work, learning and adaptive techniques are implemented to control DC motors that are used for actuating control surfaces of unmanned under...
ver más
|
|
|
|
|
|