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Image Encryption via Complementary Embedding Algorithm and New Spatiotemporal Chaotic System

IEEE transactions on circuits and systems for video technology (Print), 2023
Although image encryption is developing rapidly, it lacks the pertinence of specific scenarios. This paper proposes a complementary embedding encryption strategy.
Peng Liu, Xingyuan Wang, Yining Su
semanticscholar   +1 more source

Dynamic SFC Embedding Algorithm Assisted by Federated Learning in Space–Air–Ground-Integrated Network Resource Allocation Scenario

IEEE Internet of Things Journal, 2023
Traditional terrestrial wireless communication networks cannot support the requirements for high-quality services for artificial intelligence applications such as smart cities.
Peiying Zhang   +3 more
semanticscholar   +1 more source

VNE-HRL: A Proactive Virtual Network Embedding Algorithm Based on Hierarchical Reinforcement Learning

IEEE Transactions on Network and Service Management, 2021
Virtual network embedding (VNE) that instantiates virtualized networks on a substrate infrastructure, is one of the key research problems for network virtualization. Most existing VNE approaches, however, focus on the current virtual network request (VNR)
Jin Cheng   +5 more
semanticscholar   +1 more source

A multidomain virtual network embedding algorithm based on multiobjective optimization for Internet of Drones architecture in Industry 4.0

Software, Practice & Experience, 2020
Unmanned aerial vehicle (UAV) has a broad application prospect in the future, especially in the Industry 4.0. The development of Internet of Drones (IoD) makes UAV operation more autonomous.
Peiying Zhang   +3 more
semanticscholar   +1 more source

DSCD: Delay Sensitive Cross-Domain Virtual Network Embedding Algorithm

IEEE Transactions on Network Science and Engineering, 2020
In the coming 5G era, more and more applications are time-delay sensitive, and the importance of low delay in fields such as telemedicine, autonomous driving and military order transmission is self-evident.
Peiying Zhang   +5 more
semanticscholar   +1 more source

Multi-Constraint Virtual Network Embedding Algorithm For Satellite Networks

Global Communications Conference, 2020
Satellite network constellation is promising in providing efficient global Internet access. While the constellation scale, the user population, and service variety in satellite networks are too large, requiring efficient resource allocation and network ...
Dan-dan Yang   +3 more
semanticscholar   +1 more source

Multi-Objective Optimization-Based Virtual Network Embedding Algorithm for Software-Defined Networking

IEEE Transactions on Network and Service Management, 2020
To overcome the drawbacks of traditional Internet architectures, software-defined networking (SDN) technology has been proposed, which is expected to dramatically simplify network control processes and enable the convenient deployment of sophisticated ...
Rong Chai   +3 more
semanticscholar   +1 more source

Algorithms for embedded PHM

2012 IEEE Conference on Prognostics and Health Management, 2012
Widespread adoption of Prognostics Health Management (PHM) systems can be hampered by hardware cost. One way to reduce cost, and expand the applications of PHM into industry, is to use embedded microprocessors to perform PHM analysis. Embedded PHM is challenging in that micro-controllers have limited processing power and memory.
Eric Bechhoefer, Austin Fang
openaire   +1 more source

A Self-Adaptive Virtual Network Embedding Algorithm Based on Software-Defined Networks

IEEE Transactions on Network and Service Management, 2019
Network virtualization provides a promising tool to allow multiple virtual networks (VNs) to run on a shared substrate network (SN) simultaneously. VN embedding (VNE) is one of the key technologies of network virtualization.
Zhengfa Li   +3 more
semanticscholar   +1 more source

Identification of moving loads using a local linear embedding algorithm

Journal of Vibration and Control, 2019
A new approach for identifying moving loads is proposed in which one can identify continuous or discontinuous loads from the response data by using a local linear embedding algorithm.
Z. Jingjing
semanticscholar   +1 more source

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