• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.1442-1444
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• 2003

This paper presents a geological remote sensing information extraction system, the aim of which is to provide practical models and powerful tools to extract geological information from remote sensing images for geological exploration applications. After reviewing and analyzing the existing methods for geological information extraction, we developed more than ten models to enhance and extract geological information, such as alteration information, linear features and special lithological characters. The system is developed based on Erdas Imagine using its programming language. It has been successfully used in the ‘Great Investigation of Land and Natural Resources of China’ program.

• Korean Journal of Remote Sensing
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• v.24 no.5
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• pp.417-425
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• 2008

An image-based atmospheric correction software ATC is implemented using MATLAB and SML (Spatial Modeler Language in ERDAS IMAGINE), and it was tested using Landsat TM/ETM+ data. This ATC has two main functional modules, which are composed of a semiautomatic type and an automatic type. The semi-automatic functional module includes the Julian day (JD), Earth-Sun distance (ESD), solar zenith angle (SZA) and path radiance (PR), which are programmed as individual small functions. For the automatic functional module, these parameters are computed by using the header file of Landsat TM/ETM+. Three atmospheric correction algorithms are included: The apparent reflectance model (AR), one-percent dark object subtraction technique (DOS), and cosine approximation model (COST). The ACT is efficient as well as easy to use in a system with MATLAB and SML.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.27 no.4
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• pp.59-68
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• 2004

Recently, shifting channel power is forcing supply chain to take back products. As you can imagine returned product has always been a problem for all parties in the supply chain due to the disruption in operations and a headache in processing returned products. Therefore, every member of supply chain should respond to reverse logistics activities particularly for the return handling process. Under such a strong demand of efficient and cost effective reverse logistics activities, particularly for the return handling process, the information system should be implemented and participated in intensively. This study analyzed the reverse logistics information factors for environmental conscious logistics system limited to returns from customers/consumers. The results provide reverse logistics information factors based on the return handling process which can be used as benchmarking for companies seeking implementation of an efficient return handling system.

• Journal of information and communication convergence engineering
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• v.16 no.4
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• pp.235-241
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• 2018

Recently, deep learning has been actively studied and applied in various fields even to novel writing and painting in ways we could not imagine before. A key feature is that high-performance computing device, especially CUDA-enabled GPU, supports this trend. Researchers who have difficulty accessing such systems fall behind in this fast-changing trend. In this study, we propose and implement a library called Emulearner that helps users to utilize Emulab with ease. Emulab is a research framework equipped with up to thousands of nodes developed by the University of Utah. To use Emulab nodes for deep learning requires a lot of human interactions, however. To solve this problem, Emulearner completely automates operations from authentication of Emulab log-in, node creation, configuration of deep learning to training. By installing Emulearner with a legitimate Emulab account, users can focus on their research on deep learning without hassle.

• Journal for History of Mathematics
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• v.35 no.4
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• pp.117-128
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• 2022

In learning mathematics, if you know how much mathematics is related to real life, you can understand mathematics much more easily. So, in many cases, practical instances are used in exercises. This is the way that has been used in mathematical texts since ancient times. From this perspective, these practical problems enable to reflect the very contemporary lives of those who learn mathematics. In this paper, types of contents of the exercises in mathematical texts of Joseon Dynasty are investigated, so that it may be possible to imagine the life in Joseon dynasty.

• BMB Reports
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• v.56 no.12
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• pp.625-632
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• 2023

Nonsense-mediated mRNA decay (NMD) is both a quality control mechanism and a gene regulation pathway. It has been studied for more than 30 years, with an accumulation of many mechanistic details that have often led to debate and hence to different models of NMD activation, particularly in higher eukaryotes. Two models seem to be opposed, since the first requires intervention of the exon junction complex (EJC) to recruit NMD factors downstream of the premature termination codon (PTC), whereas the second involves an EJC-independent mechanism in which NMD factors concentrate in the 3'UTR to initiate NMD in the presence of a PTC. In this review we describe both models, giving recent molecular details and providing experimental arguments supporting one or the other model. In the end it is certainly possible to imagine that these two mechanisms co-exist, rather than viewing them as mutually exclusive.

• Journal of Engineering Education Research
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• v.22 no.6
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• pp.51-63
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• 2019

This study aims to present concept of "gong" which was shared by traditional East Asian societies (Korea, China and Japan) and to identify how it has been developed through their respective process of modernization and industrialization. Despite the territorial proximity of the three countries, their industrial and technological development followed different patterns, and the notion of engineering from the Occident was also accepted and reconstructed with a certain difference in each country. Japan had developed its own concept of engineering as part of industrialization in Western style and in the context of establishment of an imperialist nation. What was important for Japan was how engineering could contribute to the national development of technology and industry, and to the development of Imperial Japan. For China, which attached importance to resistance to Western civilizations and to strengthening the competitiveness for and which needed to resolve domestic political conflicts, engineering constituted more than a simple issue on technological and industrial dimension; it was also associated with obtaining ethical and political legitimacy which would allow the nation to gain support from the working and peasant classes. Though belated, Korean attempted to build an independent modern state, yet experienced a considerable nuisance from the invasion of Japan and the protracted colonial period. Engineering of Korea had to take a long time before emerging from backwardness especially because of Japanese policies which tended to restrict technological development and avoid fostering qualified engineers in the colony. Therefore, engineering in Korea started to contribute to the nation's development and the improvement of technological competitiveness only after it was combined with modern higher education after liberation, under the name of engineering science (工學, gong-hak). This study argues that our recognition of what engineering was for and who engineers were in East Asia will allow us to evaluate current status of engineering education and provide us with significant insight which will be useful when we imagine the future society. Identity of engineering in Korea, China, and Japan has been developed along with historical contexts such as clash of civilizations, wars, recovery of sovereignty and obtaining of national competitiveness; now, what will be combined with engineering in the next generation? This question will lead and motivate engineering students to think and imagine about what future engineering should be and how they respond to it.

• Korean Journal of Remote Sensing
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• v.25 no.5
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• pp.411-421
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• 2009

This study refers to develop a semi-automatic extraction of agricultural land use and vegetation information using high resolution satellite images. Data of IKONOS-2 satellite images (May 25 of 2001, December 25 of 2001, and October 23 of 2003), QuickBird-2 satellite images (May 1 of 2006 and November 17 of 2004) and KOMPSAT-2 satellite image (September 17 of 2007) which resemble with the spatial resolution and spectral characteristics of KOMPSAT-3 were used. The precise agricultural land use classification was tried using ISODATA unsupervised classification technique, and the result was compared with on-screen digitizing land use accompanying with field investigation. For the extraction of crop growth information, three crops of paddy, com and red pepper were selected, and the spectral characteristics were collected during each growing period using ground spectroradiometer. The vegetation indices viz. RVI, NDVI, ARVI, and SAVI for the crops were evaluated. The evaluation process was developed using the ERDAS IMAGINE Spatial Modeler Tool.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.29 no.3D
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• pp.419-431
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• 2009

The core of this study is finding out the efficient band selection or extraction method discovering the optimal spectral bands when applying canonical correlation classifier (CCC) to hyperspectral data. The optimal efficient bands grounded on each separability decision technique are selected using Multispec$^{(C)}$ software developed by Purdue university of USA. Total 6 separability decision techniques are used, which are Divergence, Transformed Divergence, Bhattacharyya, Mean Bhattacharyya, Covariance Bhattacharyya, Noncovariance Bhattacharyya. For feature extraction, PCA transformation and MNF transformation are accomplished by ERDAS Imagine and ENVI software. For the comparison and assessment on the effect of feature selection and feature extraction, land cover classification is performed by CCC. The overall accuracy of CCC using the firstly selected 60 bands is 71.8%, the highest classification accuracy acquired by CCC is 79.0% as the case that executes CCC after appling Noncovariance Bhattacharyya. In conclusion, as a matter of fact, only Noncovariance Bhattacharyya separability decision method was valuable as feature selection algorithm for hyperspectral image classification depended on CCC. The lassification accuracy using other feature selection and extraction algorithms except Divergence rather declined in CCC.

• Korean Journal of Culture and Social Issue
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• v.22 no.2
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• pp.203-222
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• 2016

Previous research has demonstrated that imagined contact is useful to reducing prejudice against minorities (e.g. Turner & Crisp, 2010). In this research, we investigated whether imagined contact increases attraction to physically unattractive women, and whether this effect is moderated by perceiver's physical attractiveness and appearance orientation in romantic relationships. Single male participants (n = 98) responded to items assessing their physical attractiveness and appearance orientation, and then were randomly assigned to one of the two conditions. In the imagined contact condition, participants were told to imagine communicating with a physically unattractive woman and come up with some interesting things about her. In the control condition, participants were told to simply imagine a physically unattractive woman. Next, participants saw a picture of a physically unattractive woman and rated her likeability, perceived attractiveness, and willingness to ask her out, which were averaged to form the composite measure of attraction. We found a significant main effect of imagined contact, as expected. This main effect was moderated by appearance orientation, but not by perceivers' physical attractiveness. The effect of imagined contact was significant among those low in appearance orientation, but not among those high in appearance orientation.