Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Xinguo Qiu"'
Publikováno v:
IEEE Access, Vol 11, Pp 128354-128368 (2023)
Traditional cam movements in piston pumps follow a non-stopping motion law, resulting in insufficient smoothness in plunger stroke changes. Consequently, this directly impacts the theoretical flow rate of the pump. To address this issue, describes th
Externí odkaz:
https://doaj.org/article/6a32224505ce4664b57237f16e668216
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract COVID-19 has tremendously impacted patients and medical systems globally. Computed tomography images can effectively complement the reverse transcription-polymerase chain reaction testing. This study adopted a convolutional neural network fo
Externí odkaz:
https://doaj.org/article/c3add19cf23746b086c31d653063cc3e
Publikováno v:
Measurement + Control, Vol 55 (2022)
This paper proposes an adaptive PID controller based on linear extended state observer (LESO) for the two-degree-of-freedom joint servomechanism of industrial robot with time-varying load, uncertainties of parameters and disturbance. The third-order
Externí odkaz:
https://doaj.org/article/49bfdda93dc54d578c88026df749a9a6
Publikováno v:
Chinese Journal of Mechanical Engineering, Vol 33, Iss 1, Pp 1-11 (2020)
Abstract The torque–angle characteristics of electric–mechanical converters are important determinants of the quality of electrohydraulic proportional control systems. It is far more difficult for a rotary electric–mechanical converter (REMC) t
Externí odkaz:
https://doaj.org/article/e08d1525369e4cf4b5babd8b6fcb7c40
Publikováno v:
Mathematics, Vol 10, Iss 18, p 3319 (2022)
The linear parameter-varying (LPV) models have broad applications in advanced mathematics and modern control systems. This paper introduces a new method for controlling the LPV systems. This method includes the gain-scheduled state-feedback technique
Externí odkaz:
https://doaj.org/article/197cd9d829c844dbaec8a91763ac0c09
Publikováno v:
PLoS ONE, Vol 16, Iss 3, p e0248414 (2021)
Because large numbers of artworks are preserved in museums and galleries, much work must be done to classify these works into genres, styles and artists. Recent technological advancements have enabled an increasing number of artworks to be digitized.
Externí odkaz:
https://doaj.org/article/4a0d4a7098b94a3bb3ecca73b91ec292
Publikováno v:
Actuators, Vol 11, Iss 2, p 41 (2022)
This paper presents a control strategy with a linear extended state observer (LESO) and Kalman filter to achieve a high performance of the motion control system. The moment of inertia of the system, which is variable with the robotic joint motion, is
Externí odkaz:
https://doaj.org/article/17f08bd955bb4e6e97d105e39ea62da9
Publikováno v:
Diagnostics, Vol 11, Iss 10, p 1887 (2021)
As the COVID-19 pandemic continues to ravage the world, the use of chest X-ray (CXR) images as a complementary screening strategy to reverse transcription-polymerase chain reaction (RT-PCR) testing continues to grow owing to its routine clinical appl
Externí odkaz:
https://doaj.org/article/92d508b7ed6447f5ac77c36d71e35b03
Publikováno v:
Sensors, Vol 21, Iss 6, p 1940 (2021)
The goal of large-scale automatic paintings analysis is to classify and retrieve images using machine learning techniques. The traditional methods use computer vision techniques on paintings to enable computers to represent the art content. In this w
Externí odkaz:
https://doaj.org/article/0d5355940f474bcbb352493eddb382a9
Publikováno v:
Computational Intelligence and Neuroscience.
Automatic classification and retrieval of fine art collections have received much attention in recent years. In this article, we explore the applicability of convolutional neural networks (CNNs) for art-related image classification tasks. To examine