Marine Link
Thursday, April 25, 2024
SUBSCRIBE

Forecasting Technology News

04 Aug 2017

Predicting the Motion of the Ocean

(Photo: General Dynamics Applied Physical Sciences / U.S. Navy)

For thousands of years sailors have looked out to sea, anticipating the motion of their craft from the waves they see coming. The nature of this constant motion, phasing in and out with the groups of waves, influences the safety of operations, from moving about the deck or rigging to transferring people and materials between craft. Waves and the resulting motions are a key factor in deciding whether to perform an operation. Could you do better than your eyeball for predicting when that next big wave is going to knock you off your feet? When the U.S.

11 Nov 2013

MHI, NEC Collaborate for Energy Demand Forecast

"Energy Demand Forecast System for Ships," Enabling Energy Savings During Operations at Sea Based on Precise Projections. Mitsubishi Heavy Industries, Ltd. (MHI) and NEC Corporation will collaborate in the development of an "Energy Demand Forecast System for Ships" applying NEC's big data analysis technologies to achieve energy savings during ship navigation. Plans call for MHI to begin marketing the system by the end of the 2014 fiscal year ending March 2015. The Energy Demand Forecast System for Ships is to be jointly developed integrating MHI and NEC's respective technologies and knowhow.

11 Nov 2013

Energy Demand Forecast System for Ships is on the Stocks

Mitsubishi Heavy Industries, Ltd. (MHI) and NEC Corporation are to collaborate in the development of an "Energy Demand Forecast System for Ships" applying NEC's big data analysis technologies to achieve ship navigation energy savings. Plans call for MHI to begin marketing the system by the end of the 2014 fiscal year ending March 2015. The new system will project future energy demand based on previously collected data relating to ships' energy consumption, weather patterns, ambient air temperature, time of day, etc. Its forecasting technology will use NEC's heterogeneous mixture learning technologies, i.e. technologies that automatically detect massive patterns hidden in big data, discover useful patterns, and automatically switch reference rules according to the analyzed data.

11 Apr 2013

WCI Executives Endorse Senate Waterway Bills

WCI President/CEO Michael J. Toohey

Waterways Council, Inc.’s (WCI) Executive Committee has endorsed two Senate waterways bills introduced by Senator Dick Durbin (D-IL): “Mississippi River Navigation Sustainment Act” (S. 565) and “Water Infrastructure Now Public-Private Partnership Act” (WIN P3) (S. 566), co-sponsored by Senator Mark Kirk (R-IL). S. 565 would “provide for the safe and reliable navigation of the Mississippi River, and for other purposes.” Referring to 2011 flooding in drought conditions in 2012-13…