The proportion of new energy installed capacity and power generation connected to the distribution network in China is increasing year by year. Due to the volatility, randomness, and unpredictability of new energy, th...
详细信息
Using software robots that communicate with systems via their user interfaces, robotic process automation (RPA) attempts to automate corporate operations while increasing efficiency and cutting costs. To prevent ineff...
详细信息
When correcting the errors of the power metering automation system, the correction amplitude is quite different from the actual error state due to the non-uniform characteristics of the sampling. Therefore, the active...
详细信息
Typhoon is one of the major threats to the safe and stable operation of power systems among all kinds of natural disasters. This paper proposes a prediction model for the damage of transmission towers under typhoon di...
详细信息
With the large scale access of distributed photovoltaic, the problem of voltage over limit at the end of low voltage distribution network often occurs, and the traditional centralized voltage over limit management met...
详细信息
The power MOSFET is a crucial component in power electronics technology, playing a key role in achieving efficient electricity transformation, power regulation and processing, as well as energy allocation. It is commo...
详细信息
Transmission line inspection is crucial for the stable operation of power grids. To address the issues of low efficiency, poor safety, and insufficient automation in traditional inspection methods, this paper proposes...
详细信息
In order to deal with the increasing complexity of network attacks, a CNN attack detection and defense mechanism is proposed. Firstly, by constructing an integrated network data set that includes normal traffic and se...
详细信息
ISBN:
(数字)9798350377033
ISBN:
(纸本)9798350377040;9798350377033
In order to deal with the increasing complexity of network attacks, a CNN attack detection and defense mechanism is proposed. Firstly, by constructing an integrated network data set that includes normal traffic and several typical attacks (DDoS, MITM, malicious software propagation, etc.), the CNN is used for automatic analysis of network traffic. The CNN model can extract high dimensional features from the original data of network traffic and identify the attack type. To increase the precision of the model, the CNN structure is optimized and the hyperparameters are adjusted. Experiments show that CNN based network attack detection model achieves 98.1% accuracy and 97.3% of F1-SCORE, which is obviously superior to the conventional SVM, decision tree, etc. In terms of defense mechanism, combined with the attack detection results of the deep learning model, this paper designs a fast-response defense system. The system can identify and effectively intercept 92% of attack traffic in real time, and the false alarm rate is kept below 2.5%, ensuring the stable operation of the network. The response time of the model is 50 milliseconds, which fully meets the high real-time requirements of modern communication networks. In addition, this study also explores the defense strategy against attacks, which further improves the robustness of the system.
The explosion of Artificial Intelligence (AI) in the form of Large Language Models (LLM) such as chatGPT and others has revolutionised many aspects of engineering and design, with particular benefits in areas of low l...
详细信息
ISBN:
(纸本)9798350355871;9798350355864
The explosion of Artificial Intelligence (AI) in the form of Large Language Models (LLM) such as chatGPT and others has revolutionised many aspects of engineering and design, with particular benefits in areas of low level design tasks including code generation, hardware description language model generation, development of test benches, and data analytics. The results are generally good, however still require significant validation to ensure both adequate quality and repeatability prior to deployment, but there is a clear benefit in terms of productivity for engineers in many scenarios. There is however even greater potential for much wider and deeper use of AI methods where greater creativity and exploration could be envisaged including novel topologies, conceptual exploration, creative design, morphic and adaptive design, design space exploration and the identification of novel design features from empirical, simulation and analytical data sources. This paper will explore the further potential of AI and identify approaches that can be applied in design automation to achieve greater leverage of the power of AI in practical scenarios.
With the increasing development of power grids, the problem of ferroresonance in neutral-point non-grounded power distribution systems is becoming more and more serious. Due to the close similarities in characteristic...
详细信息
暂无评论