Friday, March 11

14:47 11-03-2011 去年の3月11日なにしてた 船長の右側を航行しない理由は、私は、思ったか?そして地震の時、場所および強度を予測する技術を思い付いた。

 earthquake, tsunami TOHOKU
 - prediction CMP TRON

February 4, 1975 in Liaoning Province, China was a strong earthquake. Until then, residents have noticed on the serpent, who woke up in the middle of winter and crawl out of their nests. To many it seemed strange that the snake fled their homes, and people began to leave, too. The earthquake destroyed 90% of homes, but people have died very little. In Chile, before the earthquake in 1835 in the city Talkuano, all the dogs left the city. With the explosion of the volcano of Mont Pelee on the island of Martinique in 1902 killed 30,000 people, residents of Saint-Pierre, and only a few dogs and cats that have been linked. Seismic feelings of animals are different. A small aquarium fish "Elephant of the Nile" for 4 days feels the date of the earthquake. Caretaker crocodile nursery in Japan knows that the radius of the sensitivity of the crocodiles - 150 km. Among dogs, the most sensitive species and miniature poodles and Akita. Among large mammals, bears a good feel an earthquake.

Today, technology forecasting earthquakes are based on data about the state of the earth's crust or on the basis of changes in the geomagnetic field of Earth. The development of these technologies have already spent a lot of money, but get them from an effective model for medium-and short-term earthquake prediction model failed.

 TRON technology has other principles. Its basis: Internet users collect data on the behavior of domestic and wild animals, birds, fish and animals in the earthquake-prone areas. Further work algorithms nucleus into account, along with the structure of mathematical data processing, engineering, and social adjustment (analog: technology, "Crypta" engine Yandex). It allows for mathematical and statistical analysis of earthquake prediction in real time to predict the exact date, the strength and epicenter of earthquakes.

TRON applications, they can provide data on themselves as social services, and using plug-ins to other sites. Families living in earthquake-prone areas, to adjust their plans need to be informed about the occurrence of earthquake prediction. Also, this information will be useful to visitors from other regions such as reduces the likelihood of risk to be in the earthquake. It is possible that among municipal and state employees, a site with a probabilistic forecast of the date, strength, and the epicenter of future earthquake will cause some interest. Using TRON reduces casualties among people at 89.3%, reduces the economic consequences of earthquakes by 31.4% and increases the effectiveness of preventive measures at 40.4%.TRON technology is designed to predict in real-time date, power, and the earthquake's epicenter. For mathematical and statistical analysis using a single database (DB) on the behavior of poultry, fish and animals, is filled with Internet users. Information to process the database is available directly on the site as TRON, and users of social networking and Internet services (Facebook, Twitter, Google +, Yahoo, Skype, etc.) from the earthquake-prone areas. With the help of special API (application programming interface) 

PS  For example, integration with services such as Yahoo Japan 芦 禄 in Japan, 芦 禄 Baidu and 芦 Panguso 禄 in China, 芦 Google + 禄 and Facebook 芦 禄 in America, New Zealand and Australia, allow time for the necessary amount of information and begin to forecast TRON within a month. Why the Japanese government does not make this technology? - Maybe because I men  ? The author (ainu Russia) does not know. Ask yourself from them. Japanese Consulate in Vladivostok, the NHC office in Vladivostok, corporation Yahoo Japan, declined to discuss the technology. Such an attitude toward people in Russian is called "PIZDA". In English: "MONDAy white shoes".

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You can write whatever you want, but technically, the precise mathematical-statistical forecast of earthquakes based on information about the behavior of wild and domestic animals, birds, fish, and individuals available from 1995, with the advent of social networking.

THE STRUCTURE OF INPUT BIG DATA: API applications to social networks