Zerun Li
YOU?
Author Swipe
View article: Development and Future Outlook of Rail Transit Projects in Mining Subsidence Areas
Development and Future Outlook of Rail Transit Projects in Mining Subsidence Areas Open
Goaf areas are a significant hazard in mining, posing serious safety risks, and their management is a complex challenge due to their irregular spatial distribution and unpredictable roof collapses. Research on goaf areas focuses on detecti…
View article: Conjunction Subspaces Test for Conformal and Selective Classification
Conjunction Subspaces Test for Conformal and Selective Classification Open
In this paper, we present a new classifier, which integrates significance testing results over different random subspaces to yield consensus p-values for quantifying the uncertainty of classification decision. The null hypothesis is that t…
View article: Automatic Modulation Classification for MASK, MPSK, and MQAM Signals Based on Hierarchical Self-Organizing Map
Automatic Modulation Classification for MASK, MPSK, and MQAM Signals Based on Hierarchical Self-Organizing Map Open
Automatic modulation classification (AMC) plays a fundamental role in common communication systems. Existing clustering models typically handle fewer modulation types with lower classification accuracies and more computational resources. T…
View article: GraphRing
GraphRing Open
Due to the irregular memory access and high bandwidth demanding, graph processing is usually inefficient on conventional computer architectures. The recent development of the processing-in-memory (PIM) technique such as hybrid memory cube …
View article: FPGA Implementation for the Sigmoid with Piecewise Linear Fitting Method Based on Curvature Analysis
FPGA Implementation for the Sigmoid with Piecewise Linear Fitting Method Based on Curvature Analysis Open
The sigmoid activation function is popular in neural networks, but its complexity limits the hardware implementation and speed. In this paper, we use curvature values to divide the sigmoid function into different segments and employ the le…
View article: High Area-Efficient Parallel Encoder with Compatible Architecture for 5G LDPC Codes
High Area-Efficient Parallel Encoder with Compatible Architecture for 5G LDPC Codes Open
This paper presents a novel parallel quasi-cyclic low-density parity-check (QC-LDPC) encoding algorithm with low complexity, which is compatible with the 5th generation (5G) new radio (NR). Basing on the algorithm, we propose a high area-e…
View article: Area-Efficient Parallel Reconfigurable Stream Processor for Symmetric Cryptograph
Area-Efficient Parallel Reconfigurable Stream Processor for Symmetric Cryptograph Open
Represented by application-specific instruction set processors (ASIPs) and array processors, existing cryptographic processors face challenges in application to mobile terminals with sensitive security requirements. Typically, ASIPs have l…
View article: Deep learning-aided high-precision data detection for massive MU-MIMO systems
Deep learning-aided high-precision data detection for massive MU-MIMO systems Open
The data detector for future wireless system needs to achieve high throughput and low bit error rate (BER) with low computational complexity. In this paper, we propose a deep neural networks (DNNs) learning aided iterative detection algori…
View article: Practical AMC model based on SAE with various optimisation methods under different noise environments
Practical AMC model based on SAE with various optimisation methods under different noise environments Open
Automatic modulation classification (AMC) has recently attracted widespread attention nowadays due to its desirable features of generalisability and requirement of little prior knowledge through artificial intelligence (AI) technology. The…
View article: A task-based multi-core allocation mechanism for packet acceleration
A task-based multi-core allocation mechanism for packet acceleration Open
Task allocation is a traditional and complicated problem for a system with many peripherals. Normal allocation methodology focuses on fuzzy data transfer but is unable to analyze some specific experimental statistics and does not improve s…