Now Trending … Earthquake Information

2020 ◽  
Vol 91 (5) ◽  
pp. 2900-2903
Author(s):  
William S. Leith ◽  
Jeremy M. Fee ◽  
Eric M. Martinez ◽  
Lynda A. Lastowka
Keyword(s):  
Real Time ◽  
Web Applications ◽  
Geological Survey ◽  
Data Delivery ◽  
Earthquake Hazards ◽  
Total Data ◽  
Real Time Information ◽  
Time Information ◽  
The U.S ◽  
Earthquake Data

Abstract The U.S. Geological Survey Earthquake Hazards Program has overall successfully fulfilled its mission of providing timely earthquake information via web applications and other methods. Imagine a single month of earthquake data delivery, serving 3.6 billion total data requests, including 29 million pageviews by 7.1 million users, 606 million automated data feeds, and 45 million catalog downloads. Yet, some challenges and lapses in delivery have happened at critical times, including during the Ridgecrest earthquakes in 2019. We delve into the evolving demand for real-time information as well as the technologies put in place to support the ever-growing number of users in an increasingly mobile world.

A Real-Time Web Application Solution Based on Node.js and WebSocket

2013 ◽  
Vol 816-817 ◽  
pp. 1111-1115 ◽  
Author(s):  
Shu Man Zhao ◽  
Xiao Ling Xia ◽  
Jia Jin Le
Keyword(s):  
Real Time ◽  
Web Application ◽  
Web Applications ◽  
Instant Messaging ◽  
Rapid Development ◽  
Trading System ◽  
Processing Power ◽  
Depth Study ◽  
Real Time Information ◽  
Time Information

With the rapid development of computer technology, the demand for real-time information is becoming higher, many real-time web applications such as online booking system, stock trading system, instant messaging system, are supposed to send the constant changes of the server to the client in real time. On the basis of in-depth study of WebSocket protocol in HTML5 standard, this paper proposes a new real-time web application solution based on Node.js and WebSocket, aiming to significantly enhancing real-time performance, and more efficiently using the processing power of the server. Finally, the new solution is applied in the game You draw, I guess to theoretically and practically study the viability of the solution and the advantages compared to traditional solutions.

Passenger route choice behavior on transit network with real-time information at stops

2013 ◽  
Vol 33 (10) ◽  
pp. 2964-2968 ◽  
Author(s):  
Ying ZENG ◽  
Jun LI ◽  
Hui ZHU
Keyword(s):  
Real Time ◽  
Choice Behavior ◽  
Route Choice ◽  
Transit Network ◽  
Route Choice Behavior ◽  
Real Time Information ◽  
Time Information

Potential Urban Rainfall Prediction Measurement System

1984 ◽  
Vol 16 (8-9) ◽  
pp. 349-362 ◽  
Author(s):  
John L Vogel
Keyword(s):  
Real Time ◽  
The United States ◽  
Monitoring Systems ◽  
Climatic Region ◽  
Convective Storm ◽  
Rainfall Prediction ◽  
Water Quality Regulations ◽  
General Data ◽  
Real Time Information ◽  
Time Information

Continued growth of urban regions and more stringent water quality regulations have resulted in an increased need for more real-time information about past, present, and future patterns and intensities of precipitation. Detailed, real-time information about precipitation can be obtained using radar and raingages for monitoring and prediction of precipitation amounts. The philosophy and the requirements for the development of real-time radar prediction-monitoring systems are described for climatic region similar to the Midwest of the united States. General data analysis and interpretation techniques associated with rainfall from convective storm systems are presented.

Impacts of real-time information levels in public transport: A large-scale case study using an adaptive passenger path choice model

2021 ◽  
Vol 148 ◽  
pp. 155-182
Author(s):  
Mads Paulsen ◽  
Thomas Kjær Rasmussen ◽  
Otto Anker Nielsen
Keyword(s):  
Real Time ◽  
Public Transport ◽  
Large Scale ◽  
Choice Model ◽  
Real Time Information ◽  
Time Information
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