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AdapINT: A Flexible and Adaptive In-Band Network Telemetry System Based on Deep Reinforcement Learning

Autor: Zhang, Penghui, Zhang, Hua, Pi, Yibo, Cao, Zijian, Wang, Jingyu, Liao, Jianxin

In-band Network Telemetry (INT) has emerged as a promising network measurement technology. However, existing network telemetry systems lack the flexibility to meet diverse telemetry requirements and are also difficult to adapt to dynamic network envi

Externí odkaz: http://arxiv.org/abs/2310.19331

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Akademický článek

Analysis of temperature field of grain and drying medium for grain drying integrated mechanical device.

Autor: Wang Heng, Cao Shukun, Cui Yi, Cao Zijian, Xu Shuqiang

Publikováno v: MATEC Web of Conferences, Vol 175, p 02024 (2018)

In order to improve the working efficiency of the drying tower and the hot blast stove in the process of grain drying, this paper proposes a method to solve the problems of air pollution and energy waste caused by excessive combustion or insufficient

Externí odkaz: https://doaj.org/article/753b750eec1a49e2b80fda718c04747a

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Akademický článek

Optimization and control of working parameters of hot blast furnace

Autor: Wang Heng, Cao ※ Shukun, Dong Quancheng, Cui Yi, Cao Zijian, Xu Shuqiang, Song Xiangwen, Shen Hao

Publikováno v: MATEC Web of Conferences, Vol 175, p 02030 (2018)

In order to improve the working efficiency of hot blast stoves, reduce environmental pollution, reduce labor intensity and improve combustion efficiency, this paper uses ANSYS software to simulate the temperature field and flow field of the hot blast

Externí odkaz: https://doaj.org/article/666b1951dbbb4b9ebb9183e9560c97e2

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Akademický článek

Study on optimization experiment and characteristic test of biomass granule forming machine

Autor: Wang Heng, Cao Shukun, Song Xiangwen, Shen Hao, Cui Yi, Cao Zijian, Xu shuqiang

Publikováno v: MATEC Web of Conferences, Vol 175, p 02025 (2018)

According to the biomass pellet fuel forming machine, problems such as high energy consumption, easy clogging, and low efficiency exist in the granulation process. In this paper, corn and wheat stalks are used as raw materials to study the effects of

Externí odkaz: https://doaj.org/article/30f51b62a5374459acdb9d97f6ff4bc0

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Akademický článek

An autonomous differential evolution based on reinforcement learning for cooperative countermeasures of unmanned aerial vehicles

Autor: Cao, Zijian, Xu, Kai, Jia, Haowen, Fu, Yanfang, Foh, Chuan Heng, Tian, Feng

Publikováno v: In Applied Soft Computing January 2025 169

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Akademický článek

An Improved Brain Storm Optimization with Dynamic Clustering Strategy

Autor: Cao Zijian, Rong Xiaofeng, Du Zhiqiang

Publikováno v: MATEC Web of Conferences, Vol 95, p 19002 (2017)

Intelligence algorithms play an increasingly important role in the field of intelligent control. Brain storm optimization (BSO) is a new kind of swarm intelligence algorithm inspired by emulating the collective behavior of human beings in the problem

Externí odkaz: https://doaj.org/article/9317540b5a404fbb9b17bccefbc47d25

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