• Journal of Navigation and Port Research
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• v.28 no.7
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• pp.629-634
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• 2004

Continuous depth data are often required in applications of both onboard systems and maritime simulation. But data available are usually discrete and irregularly distributed. Based on the neuron network technique, methods of interpolation to the charted depth are suggested in this paper. Two algorithms based on Levenberg-Marquardt back-propaganda and radial-basis function networks are investigated respectively. A dynamic neuron network system is developed which satisfies both real time and mass processing applications. Using hyperbolic paraboloid and typical chart area, effectiveness of the algorithms is tested and error analysis presented. Special process in practical applications such as partition of lager areas, normalization and selection of depth contour data are also illustrated.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2004.08a
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• pp.37-44
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• 2004

Continuous depth data are often required in applications of both onboard systems and maritime simulation. But data available are usually discrete and irregularly distributed. Based on the neuron network technique, methods of interpolation to the charted depth are suggested in this paper. Two algorithms based on Levenberg-Marquardt back-propaganda and radial-basis function networks are investigated respectively. A dynamic neuron network system is developed which satisfies both real time and mass processing applications. Using hyperbolic paraboloid and typical chart area, effectiveness of the algorithms is tested and error analysis presented. Special process in practical applications such as partition of lager areas, normalization and selection of depth contour data are also illustrated.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2008.11a
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• pp.363-368
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• 2008

The purpose of the study is to elicite a dwelling standard for the low-income group as belong to future socially underprivileged class through an investigation of the average size of each zone in plane figures of the apartment. The investigation has been executed to 2 kinds of plane pictures of the most spread exclusive using area scale: $85m^2$ and $65m^2$, which would be a groundwork of data to harmonize with the future dwelling needs, especially those of low-income group. 312 cases were selected to be investigated about each floor space of the living room, the main room, room1, room2, and the kitchen based on wall distance, to be calculated and charted about the average and the proportion of width and depth of each zone. The investigation about how those elements effect to the overall width and depth of the apartment according to the composition and the floor space shape executed as well.