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27 results on '"Luo, Yuling"'

7. Intelligent Traffic Light Control by Exploring Strategies in an Optimised Space of Deep Q-Learning.

Author

Liu, Junxiu, Qin, Sheng, Luo, Yuling, Wang, Yanhu, and Yang, Su

Subjects
TRAFFIC engineering, TRAFFIC congestion, TRAFFIC signs & signals, ADAPTIVE control systems, SPACE exploration
Abstract

Intelligent traffic light control is one of the modern approaches to solve traffic congestion, where reinforcement learning is a widely used method. Conventionally, reinforcement learning is used to determine whether to change the current phase (or choose a traffic phase) after each small interval. One major drawback of these approaches is that it makes the current traffic light phase duration uncertain before the current phase terminates. Directly determining the duration of the traffic light phase can effectively avoid this shortcoming. An adaptive traffic light timing system is proposed in this paper which can directly control the phase duration. In the proposed system, the Q-learning algorithm is employed and the action space is defined as all possible phase durations. In addition, the reward function is redefined to guide the agent to balance more traffic metrics, and the state is redefined to reduce the state space. Finally, the proposed system is evaluated by equal, unequal, and complex traffic scenarios. Results show that the proposed system has a better performance compared with other methods in controlling traffic lights, even on complex traffic scenarios. [ABSTRACT FROM AUTHOR]

Published
2022
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17. A double-image encryption scheme based on amplitude-phase encoding and discrete complex random transformation

Author

Luo, Yuling, Tang, Shunbin, Qin, Xingshen, Cao, Lvchen, Jiang, Frank, Liu, Junxiu, Luo, Yuling, Tang, Shunbin, Qin, Xingshen, Cao, Lvchen, Jiang, Frank, and Liu, Junxiu

Abstract

© 2013 IEEE. In this paper, a novel double image encryption scheme based on amplitude-phase encoding and discrete complex random transform (DCRT) is proposed. First, two images are merged into a plural matrix by precoding, and the synthetic signal is modulated by the phase mask which is calculated from Chen chaotic sequences generated by using the self-adapting parameter as initial values. Then, the modulated signal is encrypted by amplitude-phase encoding and the DCRT. The final cipher-text is decomposed into amplitude and phase to obtain two encrypted images. Experimental results and performance analysis show that the proposed encryption scheme can effectively resist different attacks such as the differential attack, statistical attack, and so on, and it can be used for the secure communications.

Published
2018

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