• Journal of Korea Water Resources Association
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• v.51 no.6
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• pp.503-514
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• 2018

In recent, the hydrological regime of the Mekong river is changing drastically due to climate change and haphazard watershed development including dam construction. Information of hydrologic feature like streamflow of the Mekong river are required for water disaster prevention and sustainable water resources development in the river sharing countries. In this study, runoff simulations at the Kratie station of the lower Mekong river are performed using SWAT (Soil and Water Assessment Tool), a physics-based hydrologic model, and LSTM (Long Short-Term Memory), a data-driven deep learning algorithm. The SWAT model was set up based on globally-available database (topography: HydroSHED, landuse: GLCF-MODIS, soil: FAO-Soil map, rainfall: APHRODITE, etc) and then simulated daily discharge from 2003 to 2007. The LSTM was built using deep learning open-source library TensorFlow and the deep-layer neural networks of the LSTM were trained based merely on daily water level data of 10 upper stations of the Kratie during two periods: 2000~2002 and 2008~2014. Then, LSTM simulated daily discharge for 2003~2007 as in SWAT model. The simulation results show that Nash-Sutcliffe Efficiency (NSE) of each model were calculated at 0.9(SWAT) and 0.99(LSTM), respectively. In order to simply simulate hydrological time series of ungauged large watersheds, data-driven model like the LSTM method is more applicable than the physics-based hydrological model having complexity due to various database pressure because it is able to memorize the preceding time series sequences and reflect them to prediction.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.3
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• pp.32-39
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• 2018

Raman spectra exhibit differences in intensity depending on the measuring equipment and environmental conditions even for the same material. This restricts the pattern recognition approach of Raman spectroscopy and is an issue that must be solved for the sake of its practical application, so as to enable the reusability of the Raman database and interoperability between Raman devices. To this end, previous studies assumed the existence of a transfer function between the measurement devices to obtain a direct spectral correction. However, this method cannot cope with other conditions that cause various intensity distortions. Therefore, we propose a classification method using linear intensity calibration which can deal with various measurement conditions more flexibly. In order to evaluate the performance of the proposed method, a Raman library containing 14033 chemical substances was used for identification. Ten kinds of chemical Raman spectra measured using three different Raman spectroscopes were used as the experimental data. The experimental results show that the proposed method achieves 100% discrimination performance against the intensity-distorted spectra and shows a high correlation score for the identified material, thus making it a useful tool for the identification of chemical substances.

• Cross-Cultural Studies
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• v.51
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• pp.257-257
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• 2018

Xinxu(新序) was published in Korea by 1492. Among the existing editions, the editions that can confirm the realities are the collections of Keimyung University, the Korean Studies Central Research Institute, Kyonggi University, Hujodang(後彫堂), and the National Assembly Library of Japan. The Keimyung University's precious book is the 'first published book', and the old book is the 'later published book' which covers pages 69-70 and 71-72 of the first published book. It is the 'later published book' that has the same side inscribed. The second books, the Central Research Institute of Korea Studies and the Kyonggi University Collection are the first published books, and the Hujodang and the National Assembly Library of Japan are on pages 9-10, 63-64, 87-88, 107-108. The corresponding side is the 'later published book'. Comparing the editions, it can be concluded that the existing editions of the previous editions have been withdrawn two times, and in the latter editions, the existing editions of four editions can also be confirmed to have been edited three times. In this paper, the literature based on the existing editions was studied and features of the Korean edition were presented. First, we examine the types of paragraphs. In principle, the text is composed of '11 lines and 18 characters', but on the actual version, the number of characters is shown in the table. In the Korean edition of the Joseon dynasty, a blank space appears in the original text. The erroneous letter in the Joseon book was identified the reason for the error was explained in detail.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.45 no.4
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• pp.12-18
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• 2008

Researches on particle physics have benefited our everyday life in many aspects. They have tested the safety of the objects we use everyday, conducted experiments to examine harmful environments to man, and treated diseases. Despite the usefulness of particle physics in a range of fields, however, it's difficult to conduct researches and experiments directly. But the advancements in the computer industry have allowed for experiments of particle physics in virtual simulations. One of the foremost simulation libraries for particle physics that have been researched actively these days, Geant4 has been put to diverse uses in particle physics. This study designed GUI so that physicists, who were not good at programming, could use a simulation library faster, more accurately, and more conveniently. It also developed the Geant4Editor, a simulation automation framework. The advantages of the Geant4Editor include automatic generations of essential classes in a simulation using Geant4 libraries and real-time reflection of user demands in a simulation. It also allows for efficient management of resources(user-created data) through the Data Manager.

• Journal of Korea Water Resources Association
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• v.47 no.3
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• pp.257-267
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• 2014

The impact of the combination of changes in temperature and rainfall due to climate change on surface water resources is important in hydro-meteorological research. In this study, 4 hydro-meteorological (HM) models from the Rainfall Runoff Library in the Catchment Modeling Toolkit were used to model the impact of climate change on runoff in streams for 5 river basins in the Republic of Korea. Future projections from 2021 to 2040 (2030s), 2051 to 2070 (2060s) and 2081 to 2099 (2090s), were derived from 12 General Circulation Models (GCMs) and 3 representative concentration pathways (RCPs). GCM outputs were statistically adjusted and downscaled using Long-Ashton Research Station Weather Generator (LARS-WG) and the HM models were well calibrated and verified for the period from 1999 to 2009. The study showed that there is substantial spatial, temporal and HM uncertainty in the future runoff shown by the interquartile range, range and coefficient of variation. In summary, the aggregated runoff will increase in the future by 10~24%, 7~30% and 11~30% of the respective baseline runoff for the RCP2.6, RCP4.5 and RCP8.5, respectively. This study presents a method to model future stream-flow taking into account the HM model and climate based uncertainty.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.44 no.1
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• pp.51-58
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• 2007

This paper presented an adaptive pipeline architecture for a high-performance and low-power asynchronous processor. The proposed pipeline architecture employed a stage-skipping and a stage-combining scheme. The stage-skipping scheme can skip the operation of a bubble stage that is not used pipeline stage in an instruction execution. In the stage-combining scheme, two consecutive stages can be joined to form one stage if the latter stage is empty. The proposed pipeline architecture could reduce the processing time and power consumption. The proposed architecture supports multi-processing in the EX stage that executes parallel 4 instructions. We designed an asynchronous microprocessor to estimate the efficiency of the proposed pipeline architecture that was synthesized to a gate level design using a $0.35-{\mu}m$ CMOS standard cell library. We evaluated the performance of the target processor using SPEC2000 benchmark programs. The proposed architecture showed about 2.3 times higher speed than the asynchronous counterpart, AMULET3i. As a result, the proposed pipeline schemes and architecture can be used for asynchronous high-speed processor design

• Journal of the Korean Society for information Management
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• v.37 no.3
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• pp.301-326
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• 2020

This study analyzed recent cases of transition to open access(OA) journals in humanities and social sciences(HSS) in foreign countries to find a way to transition to OA journals in Korea. Ling OA and UP led by researchers, OLH and KU led by libraries, S2O led by publishers and L+F model led by funders and libraries were analyzed. Programs by national funding agencies such as the Norwegian Research Council, Canada Social Sciences and Humanities Research Council, Austrian Science Fund, and Swiss Academy of Humanities and Social Sciences were also reviewed. Based on the results of the analyses, this study suggests for transition in Korean HSS field as follows; 1) transitions to open access journals in HSS should be supported at national level 2) the stakeholder in scholarly communications such as the nation, universities, libraries, research funders, scholarly societies etc has their own role in the transition but funders and libraries are the most important in financial support for open access publishing 3) but the financial support for the first stage of the transition should be done at national level 4) and open access journal publishing consortium comprised of libraries and information service institutions in the public sector such as KERIS, KISTI and the national library should be established 5) non commercial publishing platforms for scholarly societies should be developed and distributed.

• Journal of Intelligence and Information Systems
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• v.18 no.3
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• pp.53-77
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• 2012

This study analyses the difference of contents and tones of arguments among three Korean major newspapers, the Kyunghyang Shinmoon, the HanKyoreh, and the Dong-A Ilbo. It is commonly accepted that newspapers in Korea explicitly deliver their own tone of arguments when they talk about some sensitive issues and topics. It could be controversial if readers of newspapers read the news without being aware of the type of tones of arguments because the contents and the tones of arguments can affect readers easily. Thus it is very desirable to have a new tool that can inform the readers of what tone of argument a newspaper has. This study presents the results of clustering and classification techniques as part of text mining analysis. We focus on six main subjects such as Culture, Politics, International, Editorial-opinion, Eco-business and National issues in newspapers, and attempt to identify differences and similarities among the newspapers. The basic unit of text mining analysis is a paragraph of news articles. This study uses a keyword-network analysis tool and visualizes relationships among keywords to make it easier to see the differences. Newspaper articles were gathered from KINDS, the Korean integrated news database system. KINDS preserves news articles of the Kyunghyang Shinmun, the HanKyoreh and the Dong-A Ilbo and these are open to the public. This study used these three Korean major newspapers from KINDS. About 3,030 articles from 2008 to 2012 were used. International, national issues and politics sections were gathered with some specific issues. The International section was collected with the keyword of 'Nuclear weapon of North Korea.' The National issues section was collected with the keyword of '4-major-river.' The Politics section was collected with the keyword of 'Tonghap-Jinbo Dang.' All of the articles from April 2012 to May 2012 of Eco-business, Culture and Editorial-opinion sections were also collected. All of the collected data were handled and edited into paragraphs. We got rid of stop-words using the Lucene Korean Module. We calculated keyword co-occurrence counts from the paired co-occurrence list of keywords in a paragraph. We made a co-occurrence matrix from the list. Once the co-occurrence matrix was built, we used the Cosine coefficient matrix as input for PFNet(Pathfinder Network). In order to analyze these three newspapers and find out the significant keywords in each paper, we analyzed the list of 10 highest frequency keywords and keyword-networks of 20 highest ranking frequency keywords to closely examine the relationships and show the detailed network map among keywords. We used NodeXL software to visualize the PFNet. After drawing all the networks, we compared the results with the classification results. Classification was firstly handled to identify how the tone of argument of a newspaper is different from others. Then, to analyze tones of arguments, all the paragraphs were divided into two types of tones, Positive tone and Negative tone. To identify and classify all of the tones of paragraphs and articles we had collected, supervised learning technique was used. The Na$\ddot{i}$ve Bayesian classifier algorithm provided in the MALLET package was used to classify all the paragraphs in articles. After classification, Precision, Recall and F-value were used to evaluate the results of classification. Based on the results of this study, three subjects such as Culture, Eco-business and Politics showed some differences in contents and tones of arguments among these three newspapers. In addition, for the National issues, tones of arguments on 4-major-rivers project were different from each other. It seems three newspapers have their own specific tone of argument in those sections. And keyword-networks showed different shapes with each other in the same period in the same section. It means that frequently appeared keywords in articles are different and their contents are comprised with different keywords. And the Positive-Negative classification showed the possibility of classifying newspapers' tones of arguments compared to others. These results indicate that the approach in this study is promising to be extended as a new tool to identify the different tones of arguments of newspapers.

• Journal of Korean Medicine Rehabilitation
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• v.18 no.4
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• pp.103-120
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• 2008

Objectives : This study aims to educate clinical doctors of the valuable practice of Manipulative Therapy(MT) as an opportunity for evidence-based medicine. Consequently it also serves to review the effectiveness and safety of MT. Methods : The literature studies of overseas were done by Cochrane Library and Medline website; those of domestic researches were completed by utilizing the sources which are gained from KERIS, KISS, DBpia, Kisti, and domestic institutes related with MT. Results : Eight papers related to the effectiveness of MT were published in South Korea, which concluded with the positive effects of MT. None of them are, however, well-designed randomized controlled trials(RCT). On the other hand, fifteen cases of nine articles indicate the adverse reaction of MT, and numbers of the researches in overseas revealed the side effects of MT in order of cervical, lumbar, and thoracic vertebrae. A vascular adverse reaction such as vertebral and carotid artery dissection was a highly reported cervical adverse reaction; in the thoracic and lumbar regions, neurological adverse reaction in terms of disc hemiation was frequently discovered. Conclusions : Henceforth, highly qualitative studies are required developing the effective outcomes and preventing any possible complications of MT. Therefore, systemic curriculums in institutions and sufficient clinical training in the filed are strongly recommended.

• Korean Journal of Environmental Agriculture
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• v.36 no.2
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• pp.87-96
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• 2017

BACKGROUND: The objective of this study was to identify and compare the main phenolic compounds (anthocyanins, flavonoids, phenolic acids) in blueberry and black raspberry cultivated in Korea using ultra-performance liquid chromatography diode array detection-quadrupole time-of-flight mass spectrometry (UPLC-DAD-QTOF/MS). METHODS AND RESULTS: Twenty-nine flavonoids were identified by comparison of ultraviolet and mass spectra with data in a chemical library and published data. Blueberry contained flavonols including kaempferol, quercetin, isorhamnetin, myricetin, and syringetin aglycones. Isorhamnetin 3-O-robinobioside, kaempferol 3-O-(6"-O-acetyl)glucoside, quercetin, quercetin 3-O-arabinofuranoside (avicularin), quercetin 3-O-(6''-O-malonyl) glucoside, and quercetin 3-O-robinobioside were detected for the first time in blueberry. The flavonoids in raspberry consisted of quercetin aglycone and its glycosides. The mean total flavonoid content in blueberry [143.0 mg/100 g dry weight (DW)] was 1.5-times that in raspberry (95.4 mg/100 g DW). The most abundant flavonoid in blueberry was quercetin 3-O-galactoside (hyperoside, up to 76.1 mg/100 g DW) and that in raspberry was quercetin 3-O-glucuronide (miquelianin, up to 55.5 mg/100 g DW). Miquelianin was not detected in blueberry. CONCLUSION: Flavonol glycosides were the main flavonoids in blueberry and black raspberry cultivated in Korea. The composition and contents of flavonoids differed between blueberry and black raspberry, and may be affected by the cultivar and cultivation conditions.