Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Liu, Yong"'
Autor:
Jidong Yao, Chen Zhengxing, Ping Wang, Yang Kanghua, Liu Yong, Tianle Yu, Qing He, Wang Qihang
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2675:888-901
Rail defect detection is crucial to rail operations safety. Addressing the problem of high false alarm rates and missed detection rates in rail defect detection, this paper proposes a deep learning method using B-scan image recognition of rail defect
Publikováno v:
Wireless Networks. 27:3053-3072
To solve the problem that the existing Monte Carlo Localization (MCL) algorithm has long localization time and large localization error in the real-time localization of downhole personnel and mobile equipment, an inertial optimization MCL deep mine l
Publikováno v:
Electronics, Vol 10, Iss 1267, p 1267 (2021)
Electronics
Volume 10
Issue 11
Electronics
Volume 10
Issue 11
With the developments of Internet of Things (IoT) and cloud-computing technologies, cloud servers need storage of a huge volume of IoT data with high throughput and robust security. Joint Compression and Encryption (JCAE) scheme based on Huffman algo
Publikováno v:
Applied Sciences
Volume 11
Issue 6
Applied Sciences, Vol 11, Iss 2738, p 2738 (2021)
Volume 11
Issue 6
Applied Sciences, Vol 11, Iss 2738, p 2738 (2021)
Diagnosis of Trichomonas vaginalis infection is one of the most important factors in the routine examination of leucorrhea. According to the motion characteristics of Trichomonas vaginalis, a viable detection method is the use of a microscopic camera
Publikováno v:
Advances in Mechanical Engineering, Vol 12 (2020)
At present, in the aspect of numerical simulation of cycloid pump, most studies focused on CFD (Computational Fluid Dynamics) in analyzing the pump performance under different service conditions (such as speed, temperature, etc.). The characteristics
Publikováno v:
2020 39th Chinese Control Conference (CCC).
A novel modularized output time-varying formation tracking control for multiple second-ordered integrator systems is investigated. The stability and formation tracking performance is analyzed via mathematical induction instead of kronecker product. A
Publikováno v:
2020 5th IEEE International Conference on Big Data Analytics (ICBDA).
In the context of exponential growth of data information, a large amount of data needs to be effectively processed in the power system intranet to analyze and obtain valuable information. Among them, user behavior is especially important for the secu
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 6
Sensors, Vol 20, Iss 6, p 1797 (2020)
Sensors
Volume 20
Issue 6
Sensors, Vol 20, Iss 6, p 1797 (2020)
In real applications, obtained depth images are incomplete
therefore, depth image inpainting is studied here. A novel model that is characterised by both a low-rank structure and nonlocal self-similarity is proposed. As a double constraint, the
therefore, depth image inpainting is studied here. A novel model that is characterised by both a low-rank structure and nonlocal self-similarity is proposed. As a double constraint, the
Publikováno v:
Mathematical Problems in Engineering, Vol 2020 (2020)
Feature selection method is designed to select the representative feature subsets from the original feature set by different evaluation of feature relevance, which focuses on reducing the dimension of the features while maintaining the predictive acc
Publikováno v:
Cluster Computing. 22:14721-14729
With the continuous development of the intelligent vehicle, vehicle security events occur frequently, therefore, the vehicle information security is particularly important. In this paper, the in-vehicle security measures are analyzed, especially the