Results 101 to 110 of about 13,384 (274)

Strain‐based modeling and analysis for rock blasting and geomechanics applications

Deep Underground Science and Engineering, EarlyView.
This paper introduces a novel strain‐based modeling approach for blasting and geomechanical applications, using measurable variables like particle velocity, strain, and displacement. By bypassing complex constitutive relations, strain‐based models capture critical blasting trends and full‐blast design parameters with minimal calibration.
Ruilin Yang
wiley   +1 more source

Interference alignment based secure transmission scheme in multi-user interference networks

物联网学报, 2023
Faced with the requirement of information security in internet of things, a scenario of multi-user interference networks with multiple eavesdroppers was considered, and an interference alignment (IA) scheme based physical layer secure transmission was ...
Lin HU, Jiabing FAN, Hong WEN, Jie TANG, Qianbin CHEN   +4 more
doaj   +2 more sources

Side-Channel Attacks on Post-Quantum Signature Schemes based on Multivariate Quadratic Equations

Transactions on Cryptographic Hardware and Embedded Systems, 2018
In this paper, we investigate the security of Rainbow and Unbalanced Oil-and-Vinegar (UOV) signature schemes based on multivariate quadratic equations, which is one of the most promising alternatives for post-quantum signature schemes, against side ...
Aesun Park, Kyung-Ah Shim, Namhun Koo, Dong-Guk Han   +3 more
doaj   +1 more source

Verifiable multi-secret sharing based on LFSR sequences

Theoretical Computer Science, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hu, Chunqiang, Liao, Xiaofeng, Cheng, Xiuzhen   +2 more
openaire   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

Deep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan, Chenxi Yin, Guangdong Yang, Shengyong Ding, Bin Tian   +4 more
wiley   +1 more source

Ideal Tightly Couple (t,m,n) Secret Sharing

, 2019
As a fundamental cryptographic tool, (t,n)-threshold secret sharing ((t,n)-SS) divides a secret among n shareholders and requires at least t, (t=t), participants into a tightly coupled group and requires all participants to be legal shareholders before ...
Huang, Wenchao, Meng, Keju, Miao, Fuyou, Wang, Xingfu, Xiong, Yan   +4 more
core  

Geological and geotechnical challenges on the Great Dyke of Zimbabwe and their impact on hardrock pillar design

Deep Underground Science and Engineering, EarlyView.
The Great Dyke of Zimbabwe is notable for its rich platinum group metal deposits but poses significant geological and geotechnical challenges due to its complex rock types and structural features. Traditional pillar design methods are insufficient for addressing these complexities; the study suggests incorporating advanced techniques such as machine ...
Tawanda Zvarivadza, Hendrik Grobler, Moshood Onifade, Manoj Khandelwal   +3 more
wiley   +1 more source

Multi-dimensional multiplexing optical secret sharing framework with cascaded liquid crystal holograms

Opto-Electronic Advances
Secret sharing is a promising technology for information encryption by splitting the secret information into different shares. However, the traditional scheme suffers from information leakage in decryption process since the amount of available ...
Keyao Li, Yiming Wang, Dapu Pi, Baoli Li, Haitao Luan, Xinyuan Fang, Peng Chen, Yanqing Lu, Min Gu   +8 more
doaj   +1 more source

A review on rockburst prediction and prevention to shape an ontology‐based framework for better decision‐making for underground excavations

Deep Underground Science and Engineering, EarlyView.
A scientometric analysis of 2449 journal articles and a comprehensive review of 336 papers were conducted, discussing and identifying challenges and research gaps in rockburst prediction and prevention and proposing an ontology‐based framework for better decision‐making in underground excavations. Abstract With underground engineering projects becoming
Hongchuan Yan, Haijiang Li, Hongqiang Xie, Mingli Xiao, Jianliang Pei, Huaizhong Liu, Jiangda He   +6 more
wiley   +1 more source

Random finite element analysis on ground subsidence caused by tunnel excavation in karst regions with spatial variable soil

Deep Underground Science and Engineering, EarlyView.
This study investigates ground subsidence during tunnel excavation in karst areas, highlighting the combined effects of karst cave proximity, cave size, and soil spatial variability. Findings suggest that shorter cave distances and larger cave sizes increase subsidence variability, and a modified Peck formula is proposed for more accurate subsidence ...
Zhenghong Su, Yong Fu, Miaomiao Sun, Kailin Ding, Ying Zhao   +4 more
wiley   +1 more source