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High Quality Compression and Transmission of Remote Sensing Images Based on Semantic Communication
Yan Jiang;Kun Xie;Yudian Ouyang;Jigang Wen;Guangxing Zhang;Wei Liang;Quan Feng
IEEE Transactions on Sustainable Computing
Year: 2025 | Early Access Article |
Remote sensing imagery plays a crucial role in areas such as environmental monitoring and urban planning. However, due to fragile communication links, limited bandwidth and harsh wireless environments, transmitting data from remote locations to ground applications faces the dilemma of high biterror rates, which have a poor impact on downstream missions. Semantic communication is a feasible solutio...Show More
TCMS: a Multi-sequence Log Parsing Method Based on Token Conversion
Mingkuan Wei;Jigang Wen;Shiming He;Kun Xie;Wei Liang;Gaogang Xie;Kenli Li;Ziyu Zhu
IEEE Transactions on Dependable and Secure Computing
Year: 2024 | Early Access Article |
Detailed system operations are recorded in logs. To ensure system reliability, developers can detect system anomalies through log anomaly detection. Log parsing, which converts semi-structured log messages into structured data, is a crucial step in log anomaly detection and advanced program analysis and verification. Despite the availability of various log parsing tools, they generally suffer from...Show More
Tensor Factorization for Accurate Anomaly Detection in Dynamic Networks
IEEE Transactions on Sustainable Computing
Year: 2024 | Early Access Article |
Accurately detecting traffic anomalies becomes increasingly crucial in network management. Algorithms that model the traffic data as a matrix suffers from low detection accuracy, while the work using the tensor model often assumes the tensor is regular without considering that network nodes may dynamically join in or leave, which will fail in a practical network with the change of node set as a re...Show More
A Robust Low-Rank Tensor Decomposition and Quantization based Compression Method
2024 IEEE 40th International Conference on Data Engineering (ICDE)
Year: 2024 | Conference Paper |
Tensor data is widely used in fields such as smart grids, cloud systems, and deep learning. As the scale of this data increases, storage and transmission costs rise significantly. Many tensor data exhibit low-rank structures, offering the potential for data compression through low-rank decomposition techniques. Tucker decomposition, a typical low-rank decomposition technique, achieves data compres...Show More
Cooperative routing with relay assignment in multi-radio multi-hop wireless networks
2014 IEEE 22nd International Symposium of Quality of Service (IWQoS)
Year: 2014 | Conference Paper |
Cited by: Patents (1)
Cooperative communication (CC) for wireless networks has gained a lot of recent interests. With its ability of mitigating fading by exploiting spatial diversity, CC has the potential to significantly increase the capacity of wireless networks. However, most of the works on CC are limited to single radio wireless network. To demonstrate the benefits of CC in multi-radio multi-hop wireless network, ...Show More
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