Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Hongru Tang"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Currently, the alarm functions of existing levee seepage monitoring systems are limited to single-parameter monitoring and lack rate-of-change alarms and correlation alarms. This can lead to false alarms, missed alarms, equipment failures, o
Externí odkaz:
https://doaj.org/article/befa0d2b5c294f23b3c32df8012f89f1
Publikováno v:
Sensors, Vol 24, Iss 16, p 5416 (2024)
In order to effectively predict the changing trend of operating parameters in the pump unit and carry out fault diagnosis and alarm processes, a trend prediction model is proposed in this paper based on PCA-based multi-task learning (MTL) and an atte
Externí odkaz:
https://doaj.org/article/cbd9c455ed82403da4227ba92972df6b
Publikováno v:
Sensors, Vol 24, Iss 15, p 4932 (2024)
Pumping stations have undergone significant modernization and digitalization in recent decades. However, traditional virtual inspections often prioritize the visual experience and fail to effectively represent the haptic physical properties of device
Externí odkaz:
https://doaj.org/article/50b9632810e54ab2a692d483ae40316b
Publikováno v:
Applied Sciences, Vol 13, Iss 21, p 11756 (2023)
In recent years, research on new technologies for expressing and exchanging information through tactile vibration has been the focus of researches. In this paper, by choosing a suitable coding scheme and a vibrating motor arrangement, we designed a d
Externí odkaz:
https://doaj.org/article/c0f4c52c47964b3ab6292298fa74ba16
Publikováno v:
Biomimetics, Vol 8, Iss 1, p 64 (2023)
Studies have proven that humans perceive haptic textures through different perceptual dimensions, such as rough/smooth and soft/hard, which provide useful guidance in the design of haptic devices. However, few of these have focused on the perception
Externí odkaz:
https://doaj.org/article/777bd984c2d84e048223815c0e75dff4
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 7, Iss 4, Pp 25-32 (2011)
This paper represents the relationship between the stability of stairs climbing and the centroid position of the search and rescue robot. The robot system is considered as a mass point-plane model and the kinematics features are analyzed to find the
Externí odkaz:
https://doaj.org/article/43e6b06e59cb4d249e0331ef91ed14ba
Publikováno v:
Sensors, Vol 16, Iss 12, p 2117 (2016)
Controlling robots by natural language (NL) is increasingly attracting attention for its versatility, convenience and no need of extensive training for users. Grounding is a crucial challenge of this problem to enable robots to understand NL instruct
Externí odkaz:
https://doaj.org/article/02567659d4f24e089b54bd1c381e8b93
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 9 (2012)
This paper addresses the question of how to make a robot learn natural terrain selectively and use the knowledge to estimate the terrain for planning an optimal path. A scheme which combines vision learning and interaction is proposed. The vision lea
Externí odkaz:
https://doaj.org/article/c1fd2defc15841b2bd8551f1ec55a049
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 7 (2010)
This paper represents the relationship between the stability of stairs climbing and the centroid position of the search and rescue robot. The robot system is considered as a mass point- plane model and the kinematics features are analyzed to find the
Externí odkaz:
https://doaj.org/article/f10a74f610e740bc88a12a1c00d959e4
A Combination of Terrain Prediction and Correction for Search and Rescue Robot Autonomous Navigation
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 6, Iss 3 (2010)
This paper presents a novel two-step autonomous navigation method for search and rescue robot. The algorithm based on the vision is proposed for terrain identification to give a prediction of the safest path with the support vector regression machine
Externí odkaz:
https://doaj.org/article/b0e337ced6a0435fa0b8f3eff811abfe