scholarly journals Applying an Information Technology in Fishing Industry-VI : Study on the Use of Real-time Information and Aquatic Resource Evaluation

2011 ◽  
Vol 124 (0) ◽  
pp. 355-362 ◽  
Author(s):  
Masaaki WADA ◽  
Katsumori HATANAKA ◽  
Minoru SANO ◽  
Hiroyuki HARADA
Keyword(s):  
Information Technology ◽  
Real Time ◽  
Fishing Industry ◽  
Resource Evaluation ◽  
Aquatic Resource ◽  
Real Time Information ◽  
Time Information

Research and Implementation of the Smart Home System Based on Internet of Things Environment

2014 ◽  
Vol 513-517 ◽  
pp. 1915-1918
Author(s):  
Heng Wang ◽  
Bi Geng Zheng
Keyword(s):  
Information Technology ◽  
Wireless Sensor Network ◽  
Internet Of Things ◽  
Real Time ◽  
Sensor Network ◽  
Smart Home ◽  
Wireless Sensor ◽  
Internet Of Things Environment ◽  
Real Time Information ◽  
Time Information

As one of the freshest technologies nowadays, the development of Internet of Things is attracting more and more concerns. Internet of Things is able to connect all the items to Internet via information technology such as RFID and Wireless Sensor Network, in order to realize intelligent identification and management. It is supposed in Internet of Things environments, satisfactory services can be provided through any devices or any networks, whenever it is demanded. It makes that not only PC device but also other small devices with intelligence can be connected to the same network. As a result, It is much more convenient for people to obtain real-time information and then to take corresponding actions.

Telecommunications- and Information Technology–Inspired Analyses: Review of an Intelligent Transportation Systems Experience

2017 ◽  
Vol 2658 (1) ◽  
pp. 44-55 ◽  
Author(s):  
Yupo Chan
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Real Time ◽  
Traffic Management ◽  
Transportation Systems ◽  
Lessons Learned ◽  
Connected Vehicles ◽  
Ongoing Research ◽  
Real Time Information ◽  
Time Information

This paper reviews both the author’s experience with managing highway network traffic on a real-time basis and the ongoing research into harnessing the potential of telecommunications and information technology (IT). On the basis of the lessons learned, this paper speculates about how telecommunications and IT capabilities can respond to current and future developments in traffic management. Issues arising from disruptive telecommunications technologies include the ready availability of real-time information, the crowdsourcing of information, the challenges of big data, and the need for information quality. Issues arising from transportation technologies include autonomous vehicles and connected vehicles and new taxi-like car- and bikesharing. Illustrations are drawn from the following core functions of a traffic management center: ( a) detecting and resolving an incident (possibly through crowdsourcing), ( b) monitoring and forecasting traffic (possibly through connected vehicles serving as sensors), ( c) advising motorists about routing alternatives (possibly through real-time information), and ( d) configuring traffic control strategies and tactics (possibly though big data). The conclusion drawn is that agility is the key to success in an ever-evolving technological scene. The solid guiding principle remains innovative and rigorous analytical procedures that build on the state of the art in the field, including both hard and soft technologies. The biggest modeling and simulation challenge remains the unknown, including such rapidly emerging trends as the Internet of things and the smart city.

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.

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