Guangqiu Huang's research while affiliated with Xi'an University of Architecture and Technology and other places
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Publications (8)
As air pollution worsens, the fast prediction of air pollutant concentration becomes increasingly important for public health. This paper proposes a new cross-domain prediction model of air pollutant concentration based on federated learning (FL), differential privacy laplace mechanism (DPLA) and long and short-term memory network optimized by spar...
Industry is the lifeblood of the national economy, and it is the inevitable course of sustainability for China to promote the high-quality development of industry. A theoretical framework of industrial development quality (IDQ) was constructed, and 32 influencing factors were selected based on complex system theory. The IDQ in Xi’an from 2004 to 20...
Due to the performance and resource limitations of wireless devices at the edge of the network, the intrusion detection system deployed on the mobile edge network will cause severe packet loss when faced with large traffic. Based on this, a collaborative intrusion detection system (CIDS) architecture applied to mobile edge computing is proposed, wh...
The rapid growth and development of the industrial economy with high energy consumption and pollution as a traditional extensive development model in China causes serious damage to the ecological environment. The promotion of high-quality industrial development (HQID) and the protection of ecological environment (EE) are of vital importance for ach...
The rapid industrialization and the lack of technological innovation over the past 40 years have caused serious environmental pollution and waste of resources. Therefore, it remains an urgent challenge to coordinate technological innovation, resource consumption, environmental quality, and high-quality industrial development in China. Using the dat...
With the rapid development of the multimedia Internet of Things, a large amount of multimedia data is generated at the edge of the network. These multimedia data occupies most of the network traffic, and they have higher real-time transmission requirements, so they bring higher detection requirements to network security equipment. However, due to t...
Edge computing, as a new computing model, is facing new challenges in network security while developing rapidly. Due to the limited performance of edge nodes, the distributed intrusion detection system (DIDS), which relies on high-performance devices in cloud computing, needs to be improved to low load to detect packets nearby the network edge. Thi...
Citations
... Zhao et al. 29 presented a Deep Q network for task offloading where the task scheduling process is modeled as the Markov decision process. The Deep Q network offer solution to the extensive state and action space problem. ...
... The Lotka-Volterra model is an extension of the logistic model proposed by Lotka and Volterra, which was originally used to model competition between species. Zhang et al. [32] used the Lotka-Volterra model and complex network theory to analyze the synergistic relationship between high-quality industrial development and ecological environmental protection in Shaanxi Province. Zhang et al. [33] used the gray Lotka-Volterra model to study the competition and cooperation between environmental quality, industrial development quality, resource consumption and technological innovation in Shaanxi Province from 2005 to 2019. ...
... Zhang et al. [32] used the Lotka-Volterra model and complex network theory to analyze the synergistic relationship between high-quality industrial development and ecological environmental protection in Shaanxi Province. Zhang et al. [33] used the gray Lotka-Volterra model to study the competition and cooperation between environmental quality, industrial development quality, resource consumption and technological innovation in Shaanxi Province from 2005 to 2019. ...
... Typical algorithms in RL are model-free and value based Q-learning algorithm [71]. Each iteration of Q-learning algorithm will calculate an expected cumulative reward, called the Q-value, according to current state and given action. ...
