Over the years, lightning were the central point of researches in various scientific communities around the world, no doubt for its aggressive and devastating nature, but mostly for damage caused in the electricity sector, so it is necessary to clarify what is and what it is for a Lightning Location System (LLS). This work proposes to demonstrate the operation of the algorithm utilized in LLS that is used to locate in geographical terms, lightning, using the arrival times of electromagnetic signals in the sensors. In order to prepare this paper it was used the data format generated by LPATS IV sensors belonging to Amazon Protection System (SIPAM). These data were generated in an artificial way for use in the algorithm tests. The lightning l...
A ground based lightning detection system employs a grid of sensors, which record and evaluate the e...
A number of applications use the information from lightning locating systems. Public individuals rar...
In this article, we present a machine learning-based method to locate lightning flashes using calcul...
This work aims the application of optimization techniques to detect and record lightning electromagn...
Lightning is one of the greater risk factors for the Electricity Sector, especially in the Amazon, ...
The geolocation and analysis of lightning discharges are fundamental in a wide variety of applicati...
The monitoring of the phenomenon of atmospheric discharges has been fundamental to prevent incidents...
Lightning strike is a dangerous natural phenomenon that can cause various problems. Telecommunicatio...
Lightning is an electrical discharge during storms that can be monitored continuously from certain d...
Lightning locating system (LLS) is employed to detect lightning occurrences in single station or mul...
Abstract- This paper presents an analysis of lightning data collected through the LDN-SIPAM, which c...
Lightning is an electrical discharge during storms that can be monitored continuously from certain d...
Lightning mapping or lightning locating systems are based on several working principles such as the ...
Lightning can be beautiful in view yet dangerous when it struck things and human beings. Many techni...
A study was made of the relationship between lightning occurrence density distribution and their ass...
A ground based lightning detection system employs a grid of sensors, which record and evaluate the e...
A number of applications use the information from lightning locating systems. Public individuals rar...
In this article, we present a machine learning-based method to locate lightning flashes using calcul...
This work aims the application of optimization techniques to detect and record lightning electromagn...
Lightning is one of the greater risk factors for the Electricity Sector, especially in the Amazon, ...
The geolocation and analysis of lightning discharges are fundamental in a wide variety of applicati...
The monitoring of the phenomenon of atmospheric discharges has been fundamental to prevent incidents...
Lightning strike is a dangerous natural phenomenon that can cause various problems. Telecommunicatio...
Lightning is an electrical discharge during storms that can be monitored continuously from certain d...
Lightning locating system (LLS) is employed to detect lightning occurrences in single station or mul...
Abstract- This paper presents an analysis of lightning data collected through the LDN-SIPAM, which c...
Lightning is an electrical discharge during storms that can be monitored continuously from certain d...
Lightning mapping or lightning locating systems are based on several working principles such as the ...
Lightning can be beautiful in view yet dangerous when it struck things and human beings. Many techni...
A study was made of the relationship between lightning occurrence density distribution and their ass...
A ground based lightning detection system employs a grid of sensors, which record and evaluate the e...
A number of applications use the information from lightning locating systems. Public individuals rar...
In this article, we present a machine learning-based method to locate lightning flashes using calcul...