The state of art of Autonomous Underwater Vehicles in current and future decades

2014 ◽  
Author(s):  
Basant Kumar Sahu ◽  
Bidyadhar Subudhi
Keyword(s):  
Autonomous Underwater Vehicles ◽  
Underwater Vehicles ◽  
The State ◽  
State Of Art

Towards Underwater Inspection Using AUVs

2015 ◽  
Vol 63 (5) ◽  
Author(s):  
Jörg Kalwa
Keyword(s):  
State Of The Art ◽  
Autonomous Underwater Vehicles ◽  
Underwater Vehicles ◽  
The State

AbstractAUVs – Autonomous Underwater Vehicles have reached a state of maturity that allows bringing them into applications beyond research. Still being a new “toy” in the toolbox for offshore work the market is somewhat reluctant to employ these robots due to missing field prove. This paper gives an overview about the state of the art of applications and technology and finalizes in a recent example, dmonstrating autonomy and robustness.

The Present and Future Capabilities of Deep ROVs

1999 ◽  
Vol 33 (4) ◽  
pp. 26-40 ◽  
Author(s):  
Robert Wernli
Keyword(s):  
State Of The Art ◽  
Autonomous Underwater Vehicles ◽  
Deep Ocean ◽  
Underwater Vehicles ◽  
The State ◽  
Remotely Operated Vehicles ◽  
Early Stages

The following paper will present an overview of Remotely Operated Vehicles (ROVs) and, in particular, their use in the deep ocean, which includes depths beyond 10,000 feet. Although the intent of the paper is to address tethered, free-flying vehicles, the categories of deep towed vehicles and autonomous underwater vehicles (AUVs) will also be included for completeness. And, to properly discuss the state-of-the-art in such deep ocean systems, their capabilities in the depths less than 10,000 ft will also be addressed. An attempt to project their uses in the early stages of the next millennium wiU also be made.

Opponent Center-Surround Contrast: Colour to Grey Conversion

2020 ◽  
Vol 2020 (1) ◽  
pp. 105-108
Author(s):  
Ali Alsam
Keyword(s):  
Evolutionary Algorithms ◽  
Three Dimensional ◽  
The State ◽  
Colour Space ◽  
Vision Science ◽  
State Of Art ◽  
Over Time

Vision is the science that informs us about the biological and evolutionary algorithms that our eyes, opticnerves and brains have chosen over time to see. This article is an attempt to solve the problem of colour to grey conversion, by borrowing ideas from vision science. We introduce an algorithm that measures contrast along the opponent colour directions and use the results to combine a three dimensional colour space into a grey. The results indicate that the proposed algorithm competes with the state of art algorithms.

Kidney transplantation in identical twins: the state of art and a case report

2019 ◽  
Vol 21 (4) ◽  
pp. 458-465
Author(s):  
A.I. Sushkov ◽  
◽  
T.A. Astrelina ◽  
E.V. Shestero ◽  
V.A. Nikitina ◽  
...  
Keyword(s):  
Kidney Transplantation ◽  
Case Report ◽  
The State ◽  
Identical Twins ◽  
State Of Art

scholarly journals A Review of Size Engineering-Enabled Electrocatalysts for Li–S Chemistry

2021 ◽  
Author(s):  
Xi Zhang ◽  
Yaping Zhang ◽  
xijun wei ◽  
Chaohui Wei ◽  
Yingze Song
Keyword(s):  
Energy Density ◽  
High Energy ◽  
The State ◽  
High Energy Density ◽  
State Of Art

Li–S batteries (LBSs) have received extensive attention owing to their remarkable theoretical capacity (1672 mA h g–1) and high energy density (2600 Wh kg–1), far beyond the state of art...

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