Lightning disaster risk assessment,as an intuitive method to reflect the risk of regional lightning disasters,has aroused the research interest of many researchers.Nowadays,there are many schemes for lightning disaste...Lightning disaster risk assessment,as an intuitive method to reflect the risk of regional lightning disasters,has aroused the research interest of many researchers.Nowadays,there are many schemes for lightning disaster risk assessment,but there are also some shortcomings,such as the resolution of the assessment is not clear enough,the accuracy rate cannot be verified,and the weight distribution has a strong subjective trend.This paper is guided by lightning disaster data and combines lightning data,population data and GDP data.Through support vector machine(SVM),it explores a way to combine artificial intelligence algorithms with lightning disaster risk assessment.By fitting the lightning disaster data,the weight distribution between the various impact factors is obtained.In the experiment,the probability of lightning disaster is used to compare with the actual occurrence of lightning disaster.It can be found that the disaster risk assessment model proposed in this paper is more reasonable for the lightning risk.It has been verified that the accuracy rate of the assessment model in this paper has reached 80.2%,which reflects the superiority of the model.展开更多
The problems in calculating parameters of equivalent collection area,earth resistivity and lightning protection category as well as their effects on lightning disaster risk assessment were analyzed,and practical examp...The problems in calculating parameters of equivalent collection area,earth resistivity and lightning protection category as well as their effects on lightning disaster risk assessment were analyzed,and practical examples proved the effects of those differences on lightning protection identification,intercept efficiency calculation in evaluating lightning disaster risk. In the meantime,several new concepts,such as the height of buildings for lightning protection were defined,and a fixed radius value was set to the ground flash density for calculation,establishing the ground flash density formula to solve the problems in parameter calculation,which would be beneficial to promote the standardization of lightning disaster risk assessment.展开更多
In this in-depth exploration, I delve into the complex implications and costs of cybersecurity breaches. Venturing beyond just the immediate repercussions, the research unearths both the overt and concealed long-term ...In this in-depth exploration, I delve into the complex implications and costs of cybersecurity breaches. Venturing beyond just the immediate repercussions, the research unearths both the overt and concealed long-term consequences that businesses encounter. This study integrates findings from various research, including quantitative reports, drawing upon real-world incidents faced by both small and large enterprises. This investigation emphasizes the profound intangible costs, such as trade name devaluation and potential damage to brand reputation, which can persist long after the breach. By collating insights from industry experts and a myriad of research, the study provides a comprehensive perspective on the profound, multi-dimensional impacts of cybersecurity incidents. The overarching aim is to underscore the often-underestimated scope and depth of these breaches, emphasizing the entire timeline post-incident and the urgent need for fortified preventative and reactive measures in the digital domain.展开更多
基金This work is supported by Network Security Inspection and Monitoring System Project of State Grid Corporation of China.
文摘Lightning disaster risk assessment,as an intuitive method to reflect the risk of regional lightning disasters,has aroused the research interest of many researchers.Nowadays,there are many schemes for lightning disaster risk assessment,but there are also some shortcomings,such as the resolution of the assessment is not clear enough,the accuracy rate cannot be verified,and the weight distribution has a strong subjective trend.This paper is guided by lightning disaster data and combines lightning data,population data and GDP data.Through support vector machine(SVM),it explores a way to combine artificial intelligence algorithms with lightning disaster risk assessment.By fitting the lightning disaster data,the weight distribution between the various impact factors is obtained.In the experiment,the probability of lightning disaster is used to compare with the actual occurrence of lightning disaster.It can be found that the disaster risk assessment model proposed in this paper is more reasonable for the lightning risk.It has been verified that the accuracy rate of the assessment model in this paper has reached 80.2%,which reflects the superiority of the model.
文摘The problems in calculating parameters of equivalent collection area,earth resistivity and lightning protection category as well as their effects on lightning disaster risk assessment were analyzed,and practical examples proved the effects of those differences on lightning protection identification,intercept efficiency calculation in evaluating lightning disaster risk. In the meantime,several new concepts,such as the height of buildings for lightning protection were defined,and a fixed radius value was set to the ground flash density for calculation,establishing the ground flash density formula to solve the problems in parameter calculation,which would be beneficial to promote the standardization of lightning disaster risk assessment.
文摘In this in-depth exploration, I delve into the complex implications and costs of cybersecurity breaches. Venturing beyond just the immediate repercussions, the research unearths both the overt and concealed long-term consequences that businesses encounter. This study integrates findings from various research, including quantitative reports, drawing upon real-world incidents faced by both small and large enterprises. This investigation emphasizes the profound intangible costs, such as trade name devaluation and potential damage to brand reputation, which can persist long after the breach. By collating insights from industry experts and a myriad of research, the study provides a comprehensive perspective on the profound, multi-dimensional impacts of cybersecurity incidents. The overarching aim is to underscore the often-underestimated scope and depth of these breaches, emphasizing the entire timeline post-incident and the urgent need for fortified preventative and reactive measures in the digital domain.
