Results 31 to 40 of about 6,644,658 (260)

Design of roadway advanced support and study on its mechanical characteristics

open access: yesGong-kuang zidonghua, 2019
In view of problem that there is a big difference between calculated load and real load when roof load is estimated or thin plate theory model is used to study mechanical characteristics of advanced support at present, a new type of roadway advanced ...
YANG Xinshun, YANG Zhiqiang
doaj   +1 more source

Schematic diagram of roadway support.

open access: yes, 2022
Schematic diagram of roadway support.
Kexin Bai (11993756)   +4 more
core   +1 more source

Failure condition of roadway support structure.

open access: yes, 2023
The time and space of the support structure applying is related to the overall stability of the roadway after excavation directly. Designed twenty-four groups of roadway support schemes with time and space dimensions, and studied the stability ...
Haoqin Zhang (1437652)   +4 more
core   +1 more source

Analog Tensor Processing With Carbon Nanotube In‐Memory Matrix Multiplications for Edge Computer Vision Acceleration

open access: yesAdvanced Materials, EarlyView.
This work prototypes a carbon nanotube‐based analog tensor core that performs in‐memory, parallel visual processing. Integrating non‐volatile memories and compact circuits, the core enables high‐speed analog matrix multiplications and can demonstrate accurate three dimensional (3D) spatial transformation and edge detection. With lightweight design, the
Jingfang Pei   +11 more
wiley   +1 more source

Robotized advance support scheme and optimum support opportunity for deep fully mechanized roadway

open access: yes矿业科学学报, 2019
The fully mechanized excavation working face is the accident-prone area,such as the roof collapse and the rib spailling.With the increase of coal mining depth,the problem becomes more obvious,which seriously threatens the personal safety of coal miners ...
Xue Guanghui   +4 more
doaj   +1 more source

Roadway Lighting and Safety: Phase II – Monitoring Quality, Durability and Efficiency;TR-601, November 2011 [PDF]

open access: yes, 2011
This Phase II project follows a previous project titled Strategies to Address Nighttime Crashes at Rural, Unsignalized Intersections. Based on the results of the previous study, the Iowa Highway Research Board (IHRB) indicated interest in pursuing ...

core  

Clinical neuroanatomy teaching at Peking University Health Science Center: Evolution, current practice, and future direction

open access: yesAnatomical Sciences Education, EarlyView.
Abstract Neuroanatomy has been considered one of the most challenging subjects in medical education, often leading to “neurophobia” and discouraging students from pursuing neurological specialties. At PKUHSC, the curriculum has evolved from a traditional, discipline‐based model to a technology‐enhanced, integrated “Nervous System” module for ...
Xuan Fang   +9 more
wiley   +1 more source

Simulation test and numerical analysis of the performance of hydraulic support for pile foundation

open access: yesMeitan kexue jishu
In view of the poor applicability of the traditional roadway portal hydraulic support due to its shortcomings such as bulky bottom beam, large space occupation and inconvenient installation and dismantling.
Yimin SONG   +5 more
doaj   +1 more source

Roadway Lighting and Safety: Phase II – Monitoring Quality, Durability and Efficiency, November 2011 [PDF]

open access: yes, 2011
This Phase II project follows a previous project titled Strategies to Address Nighttime Crashes at Rural, Unsignalized Intersections. Based on the results of the previous study, the Iowa Highway Research Board (IHRB) indicated interest in pursuing ...

core  

Real‐time lithology identification while drilling based on drill cuttings image analysis with ensemble learning

open access: yesDeep Underground Science and Engineering, EarlyView.
A lithology identification while drilling method was developed, integrating an automated cuttings sampling system, a smart drilling rig, and an ensemble learning model. Underground trials achieved 97.42% accuracy in real‐time identification of cuttings lithology and composition, enhancing hazard management and supporting unmanned drilling technology in
Kun Li   +7 more
wiley   +1 more source

Home - About - Disclaimer - Privacy