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This paper describes the impact of lightning on grid line, based on corridor radius algorithm, realize the grid lines surrounding lightning location analysis methods, including lightning occurs time, latitude and longitude, electricity, etc. Through comprehensive analysis of the lightning information and grid lines transmission information, fault information to judge whether lightning cause grid line...
This paper describes a global alarm system developed by the Standard Widget Toolkit (SWT) technology based on the national standard. The theory structure, functions and applications of the system are elaborated in details. The implementation of the system proves its significance in safe operation of transmission lines.
With the improvement of enterprises' informationalization level, traditional technical service method already cannot meet the need of modern production mode. To solve many problems existing in traditional technical services model and improve quality and efficiency of technical service, shorten the producing cycle of product, a new mode of the technical service is presented, which is the collaborative...
Two major buoy networks have been added to the National Oceanic and Atmospheric Administration National Data Buoy Center (NDBC) as the result of the transition of Tropical Atmosphere Ocean (TAO) Array with 55 TAO legacy buoys and the global establishment of the second-generation Deep-ocean Assessment and Reporting of Tsunami (DART??) network with 39 surface buoys and collocated subsurface bottom pressure...
With the level of informatization is improving CRM has been used by enterprises universally and it makes the working efficiency has been improved. In order to improve the CRM performance needs to do a scientific and comprehensive evaluation. The evaluation on CRM performance is a complex systemic project. A CRM performance evaluation method based on fuzzy comprehensive evaluation is presented. Comprehensive...
After the modification of the fuzzy ART neural network operations. An algorithm based on fuzzy ART neural network which can deal with online-learning and recognition of the known and unknown faces at the same time is designed and realized. The simulation experiment results show an online maximum recognition rate is 86.3% and offline recognition rates are nearly 100% when the proper network parameters...
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