A Knowledge Based Approach Towards Design of Mechanical Systems and Components for Deep Sea Mining

Author(s):  
Deepak C. Raphael ◽  
Sivasailam Kumaraswamy ◽  
Medisetti M. Rao ◽  
Muthukamatchi Ravindran

Development of systems, machinery and components for deep sea mining from 2000–6000 meters depth in the ocean is a major technological challenge. The existing engineering system concepts have been demonstrated for short duration and have to be well evaluated for long term mining operations. The need for conceptualization of new systems has often been emphasized. A Knowledge Based Design Support System has been developed which can be used as a tool to aid a system designer in evaluating existing systems as well as conceive new systems and components. The architecture for evaluating available products and development of evolvable products, hybrid products and genetically modified products are presented. System synthesis using far and near vision fused with conventional methods are described. System variants can be evaluated using a fusion of Analytical Hierarchy Processes (AHP) and Altschullerian approaches.

1992 ◽  
Vol 5 (1) ◽  
pp. 31-40 ◽  
Author(s):  
T. Smithers ◽  
M.X. Tang ◽  
N. Tomes ◽  
P. Buck ◽  
B. Clarke ◽  
...  

1997 ◽  
Vol 12 (4) ◽  
pp. 387-406 ◽  
Author(s):  
MING XI TANG

The development of a knowledge-based design support system is a lengthy and costly process because various computational techniques necessary for intelligent design support are not readily available in a knowledge-based environment. The systematisation of design knowledge needs combined efforts from designers and knowledge engineers. Existing knowledge-based system development tools offer limited support to intelligent design support which require sophisticated knowledge engineering techniques in terms of knowledge representation, inference, control, truth maintenance and learning. In this paper, a knowledge-based architecture for intelligent design support is described. The existing knowledge-based design system architectures are reviewed first. Five key issues in intelligent design support using knowledge engineering techniques, i.e. design knowledge representation, structure of design knowledge base, intelligent control of design process, consistency and context management of design knowledge, and modelling of design collaboration are then discussed. These discussions provide a basis for a description of a knowledge-based design support system architecture which has been implemented in a Lisp-based environment and tested in two different domains. Current application of this architecture in the development of a design support system in the domain of mechanical engineering design at the Cambridge Engineering Design Centre is presented and evaluated.


2008 ◽  
pp. 47-55
Author(s):  
A. Nekipelov ◽  
Yu. Goland

The appeals to minimize state intervention in the Russian economy are counterproductive. However the excessive involvement of the state is fraught with the threat of building nomenclature capitalism. That is the main idea of the series of articles by prominent representatives of Russian economic thought who formulate their position on key elements of the long-term strategy of Russia’s development. The articles deal with such important issues as Russia’s economic policy, transition to knowledge-based economy, basic directions of monetary and structural policies, strengthening of property rights, development of human potential, foreign economic priorities of our state.


Biology ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 522
Author(s):  
Régis Santos ◽  
Wendell Medeiros-Leal ◽  
Osman Crespo ◽  
Ana Novoa-Pabon ◽  
Mário Pinho

With the commercial fishery expansion to deeper waters, some vulnerable deep-sea species have been increasingly captured. To reduce the fishing impacts on these species, exploitation and management must be based on detailed and precise information about their biology. The common mora Mora moro has become the main deep-sea species caught by longliners in the Northeast Atlantic at depths between 600 and 1200 m. In the Azores, landings have more than doubled from the early 2000s to recent years. Despite its growing importance, its life history and population structure are poorly understood, and the current stock status has not been assessed. To better determine its distribution, biology, and long-term changes in abundance and size composition, this study analyzed a fishery-dependent and survey time series from the Azores. M. moro was found on mud and rock bottoms at depths below 300 m. A larger–deeper trend was observed, and females were larger and more abundant than males. The reproductive season took place from August to February. Abundance indices and mean sizes in the catch were marked by changes in fishing fleet operational behavior. M. moro is considered vulnerable to overfishing because it exhibits a long life span, a large size, slow growth, and a low natural mortality.


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