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252 results on '"Park, Inhye"'

51. Spatial and temporal change in landslide hazard by future climate change scenarios using probabilistic-based frequency ratio model

Author

Lee Moung-Jin, Lee Saro, Won Joong-Sun, Song Won-Kyong, and Park Inhye

Subjects
Hydrology, Geographic information system, business.industry, Spatial database, Geography, Planning and Development, Frequency ratio, Probabilistic logic, Landslide, Land cover, Hazard map, Hazard, Geography, Physical geography, business, Water Science and Technology
Abstract

The aims of this study were to apply, verify and compare a frequency ratio model for landslide hazards, considering future climate change and using a geographic information system in Inje, Korea. Data for the future climate change scenario (A1B), topography, soil, forest, land cover and geology were collected, processed and compiled in a spatial database. The probability of landslides in the study area in target years in the future was then calculated assuming that landslides are triggered by a daily rainfall threshold. Landslide hazard maps were developed for the two study areas, and the frequency ratio for one area was applied to the other area as a cross-check of methodological validity. Verification results for the target years in the future were 82.32–84.69%. The study results, showing landslide hazards in future years, can be used to help develop landslide management plans.

Published
2013

96. Software optimization for embedded communication system.

Author

Park, Inhye, Lee, Hyungkeun, and Lee, Hyukjoon

Abstract

This paper presents general software optimization techniques to improve software performance and energy consumption in embedded systems. Software optimization can be categorized into three levels: algorithmic, source code-level. Then these techniques are applied to optimize our tactical message processing software, which is a message encoder-decoder for tactical communication equipped on weapon systems. The optimized software achieved performance increase of about 12%, memory access decrease of 72% and memory usage decrease of 35% over the original software. [ABSTRACT FROM PUBLISHER]

Published
2013
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97. A case study for the integration of predictive mineral potential maps.

Author

Lee, Saro, Oh, Hyun-Joo, Heo, Chul-Ho, and Park, Inhye

Abstract

This study aims to elaborate on the mineral potential maps using various models and verify the accuracy for the epithermal gold (Au) - silver (Ag) deposits in a Geographic Information System (GIS) environment assuming that all deposits shared a common genesis. The maps of potential Au and Ag deposits were produced by geological data in Taebaeksan mineralized area, Korea. The methodological framework consists of three main steps: 1) identification of spatial relationships 2) quantification of such relationships and 3) combination of multiple quantified relationships. A spatial database containing 46 Au-Ag deposits was constructed using GIS. The spatial association between training deposits and 26 related factors were identified and quantified by probabilistic and statistical modelling. The mineral potential maps were generated by integrating all factors using the overlay method and recombined afterwards using the likelihood ratio model. They were verified by comparison with test mineral deposit locations. The verification revealed that the combined mineral potential map had the greatest accuracy (83.97%), whereas it was 72.24%, 65.85%, 72.23% and 71.02% for the likelihood ratio, weight of evidence, logistic regression and artificial neural network models, respectively. The mineral potential map can provide useful information for the mineral resource development. [ABSTRACT FROM AUTHOR]

Published
2014
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98. Ensemble of ground subsidence hazard maps using fuzzy logic.

Author

Park, Inhye, Lee, Jiyeong, and Saro, Lee

Abstract

Hazard maps of ground subsidence around abandoned underground coal mines (AUCMs) in Samcheok, Korea, were constructed using fuzzy ensemble techniques and a geographical information system (GIS). To evaluate the factors related to ground subsidence, a spatial database was constructed from topographic, geologic, mine tunnel, land use, groundwater, and ground subsidence maps. Spatial data, topography, geology, and various ground-engineering data for the subsidence area were collected and compiled in a database for mapping ground-subsidence hazard (GSH). The subsidence area was randomly split 70/30 for training and validation of the models. The relationships between the detected ground-subsidence area and the factors were identified and quantified by frequency ratio (FR), logistic regression (LR) and artificial neural network (ANN) models. The relationships were used as factor ratings in the overlay analysis to create ground-subsidence hazard indexes and maps. The three GSH maps were then used as new input factors and integrated using fuzzy-ensemble methods to make better hazard maps. All of the hazard maps were validated by comparison with known subsidence areas that were not used directly in the analysis. As the result, the ensemble model was found to be more effective in terms of prediction accuracy than the individual model. [ABSTRACT FROM AUTHOR]

Published
2014
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