• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.1
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• pp.570-595
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• 2017

Robust and perceptually-adaptive image watermarking algorithms have mainly targeted gray-scale images either at the modeling or embedding levels despite the widespread availability of color images. Only few of the existing algorithms are specifically designed for color images where color correlation and perception are constructively exploited. In this paper, a new perceptual and high-capacity color image watermarking solution is proposed based on the extension of Tsui et al. algorithm. The $CIEL^*a^*b^*$ space and the spatio-chromatic Fourier transform (SCFT) are combined along with a perceptual model to hide watermarks in color images where the embedding process reconciles between the conflicting requirements of digital watermarking. The perceptual model, based on an emerging color image model, exploits the non-uniform just-noticeable color difference (NUJNCD) thresholds of the $CIEL^*a^*b^*$ space. Also, spread-spectrum techniques and semi-random low-density parity check codes (SR-LDPC) are used to boost the watermark robustness and capacity. Unlike, existing color-based models, the data hiding capacity of our scheme relies on a game-theoretic model where upper bounds for watermark embedding are derived. Finally, the proposed watermarking solution outperforms existing color-based watermarking schemes in terms of robustness to standard image/color attacks, hiding capacity and imperceptibility.

• Journal of The Korean Society of Agricultural Engineers
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• v.46 no.2
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• pp.15-25
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• 2004

For the effective operation of irrigation reservoirs, a general and systematic policy is suggested to make balance of the conflicting purposes between water conservation and flood control. In this study, the flood effective analysis system was developed through the integration of long-term water budget analysis model, GIS-based HEC-HMS model and HEC-RAS model. The system structure consists of long-term water budget model using modified TANK theory, flood runoff and flood effects analysis model using HEC-GeoHMS, HEC-HMS and HEC-RAS models. The flood effects analysis system simulated the flood runoff from the upstream, downstream flood and long-term runoff of the watershed using the observed data collected from 1998 to 2002 of Seongju dam. The simulated results were reasonably good compared with the observed data. The optimal management method of the reservoir during the whole season is suggested in this study, and the flood analysis system can be a useful tool to evaluate a reservoir operation quantitatively for the mitigation of flood damages of reservoir basin.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.95-107
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• 2020

This study analyzes the effect of corporate social responsibility (CSR) activity on investors' heterogeneous beliefs. The hypothesis of this study is based on the conflicting effects of CSR activities on firm value and earning's quality. Investors' heterogeneous beliefs used in the empirical analysis of this study are trading volume, and CSR activity is measured by the KEJI Index (Korea Economic Justice Institute Index). This study performs an empirical analysis using regression analysis including control variables. CSR activities are found to have a positive relationship with trading volume. This is consistent regardless of the low and high accounting information (earning's quality). It can be interpreted that Korea's CSR activity acts as an incentive to increase investors' heterogeneous beliefs about target companies. In other words, it implies that the investor judges CSR activities negatively when evaluating firm value. This study could have a policy implication in that it analyzes how CSR activities affect investors' decision-making. In other words, this study analyzed CSR activities from the perspective of shareholders. Therefore, this study is expected to provide useful information for policymaking by regulatory agencies. In particular, its contribution is to presents data that CSR activities can be a negative factor in evaluating firm values.

• Proceedings of the IEEK Conference
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• 2002.07c
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• pp.1606-1609
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• 2002

MAC state models appeared with an effort to overcome technical demerits of CDMA in provisioning packet data service. In the scenario of sojourn and transition on MAC states, the design of state sojourn time is a critical issue for an efficient utilization of limited recource; a longer sojourn time leads to more resource being preserved for inactive stations, while more connection components should be recovered with a shorter sojourn time. Thus, the sojourn time at each MAC state must be optimized in consideration of these two conflicting arguments. In this paper, we first present a generic MAC state model. Secondly, based on the generic model, we reveal a relation of inactive period and the delay time of the last packet served in pre- ceding active period and specify a loss function reflect-ing two antinomic features that result from a change of state sojourn time. Using the proposed loss function, we construct a decision problem to find an optima3 rule for state sojourn times. Finally, we present a way of computing Bayes rule by use of the posterior distribution of inactivity duration for given observation on the delay time of last packet. Furthermore, Bayes rules are explicitly expressed for special arrival processes and investigated with respect to traffic load and loss parameters.

• Fourth Industrial Review
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• v.1 no.1
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• pp.11-22
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• 2021

Purpose- The purpose of this study is to give implications on how to decrease employee turnover intention of Korean information and communication industry employees using organization culture, job satisfaction and organizational commitment. To do that this study analyzes relationships among variables and analyses mediating effect of job satisfaction and organizational commitment. Research design, data, and methodology- To analyze relationships among organization culture, job satisfaction, organizational commitment and turnover intention of employees, this study used the 7th KRIVET's HCCP employee data especially employees working in the information and communication industry who has more than university degree education. The analysis is conducted by using SPSS 21 and frequency analysis correlation analysis, regression analysis and mediating effect are analyzed by using MACRO PROCESS procedure for SPSS. Result- According to the empirical results, organization culture of innovation, relation and rational directed significantly affect both job satisfaction and organizational commitment. And job satisfaction and organizational commitment significantly affect each other. Turnover intention is significantly affected by job satisfaction, organizational commitment, innovation directed and hierarchy directed. However, the influence of innovation and hierarchy showed conflicting results. Conclusion- Based on this study result, implications to manage the turnover intention of Korean employees in the information and communication industry are discussed. Especially, the effect of organization culture, job satisfaction and organizational commitment is discussed. And the mediating role of job satisfaction and organizational commitment is also analyzed. Result implicates that cautious approach is needed in managing organization culture to employee attitude of job and organization is needed

• The Journal of Asian Finance, Economics and Business
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• v.8 no.8
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• pp.345-353
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• 2021

The impact of investment on economic growth has been studied by many authors around the world with different times and research methods. Therefore, there are conflicting opinions about the impact of investment on economic growth. To contribute empirical evidence, the objective of this study is to assess the impact of investment sources such as public investment, private investment, and foreign direct investment on economic growth in Vietnam in the short-run and long-run. The data used for the study is panel data from 63 Vietnamese provinces between 2000 and 2020. The inquiry method is PMG (Pool Mean Group) regression for economic growth (GDP) after testing the stationarity of the variables that meet the PMG regression condition as suggested by Pesaran et al. (1996) and Hamuda et al. (2013). The results show that: factors such as labor and trade openness have a negative impact on economic growth in the short term. In the long run, public investment has a negative effect on economic growth, while domestic private investment, foreign direct investment, trade openness, and labor have positive effects on economic growth. Labour contributes the most, followed by trade openness, foreign direct investment, and domestic private investment. Finally, the study provides policy implications for the Government of Vietnam.

• The Journal of Economics, Marketing and Management
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• v.7 no.2
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• pp.1-5
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• 2019

Purpose - Along with the rise of foreign investments in the Korean stock market, there has been a variety of studies on their influence. The conflicting findings on the question of information asymmetry of foreign investors among existing literatures appear to be a result of mixture of research method problems, what information is defined as being comparable, individual business levels, or the entire stock market. This paper empirically investigates what factors contribute to foreign investments in firms in the Korean stock market. Research design, data, and Methodology - Samples are constructed by manufacturing firms listed on the stock market of Korea as well as those who settle accounts in December from 2001 to 2018. Financial institutions are excluded from the sample as their accounting procedures, governance and regulations differ. This study adopted the panel regression model to assess the sample construction including yearly and cross-sectional data. Result - This paper find that firms' R&D, dividends, size give significant positive impact to foreign investment, whereas debt gives significant negative impact to foreign investment. This relationship does not change when the samples are divided before and after the 2008 global financial crisis. Conclusion - This results support the literatures that foreign investors favor firms lowering their information asymmetry.

• Clinical Endoscopy
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• v.55 no.6
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• pp.742-750
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• 2022

Background/Aims: Cold snare polypectomy (CSP) is commonly used for the resection of colorectal polyps ≤10 mm. Data regarding the influence of snare type on CSP effectiveness are conflicting. Hence, this meta-analysis aimed to compare the outcomes and safety of thin- and thick-wire snares for CSP. Methods: A comprehensive search of the literature published between 2000 and 2021 was performed of various databases for comparative studies evaluating the outcomes of thin- versus thick-wire snares for CSP. Results: Five studies with data on 1,425 polyps were included in the analysis. The thick-wire snare was comparable to the thin-wire snare with respect to complete histological resection (risk ratio [RR], 1.03; 95% confidence interval [CI], 0.97-1.09), overall bleeding (RR, 0.98; 95% CI, 0.40-2.40), polyp retrieval (RR, 1.01; 95% CI, 0.97-1.04), and involvement of submucosa in the resection specimen (RR, 1.28; 95% CI, 0.72-2.28). There was no publication bias and a small study effect, and the relative effects remained the same in the sensitivity analysis. Conclusions: CSP using a thin-wire snare has no additional benefit over thick-wire snares in small colorectal polyps. Factors other than snare design may play a role in improving CSP outcomes.

• The Journal of Korean Medicine
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• v.30 no.2
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• pp.30-45
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• 2009

Background: The safety of herbal products is an important issue in Korea. It is more complicated because of the concomitant use of conventional western drugs and herbal medicine, including prescribed medicine, folk herbs and food supplements. Although both western and traditional Korean medical doctors have studied on the safety of HMP, their results did not show relevant or consistent conclusions because of the poor quality of studies, including bias. Objectives: The aim of this study was to review the studies in Korea related to drug induced liver injury (DILI) systematically. We tried to estimate the proportion of causative materials of DILI and evaluate the clinical difference of DILIs from different materials. Methods: Systematic searches were performed on MedRIC and MEDLIS in Korea. The extraction of data as well as selective screening of the studies was carried out independently by two of the authors. There were no restrictions on the types of publication, including grey literature. Results: Twenty-one articles were included. Of them only 7 adapted prospective design and only 6 were published in peer-reviewed journals. The proportion of conventional drugs associated with hepatotoxic injuries in all DILI ranged from 15.8% to 83.3% and that of herbal medicine was from 28.9% to 44.7%. However, the criteria for herbal medicine were not clearly defined and concomitant medications were not fully investigated in most studies. There were limited objective data in the clinical differences of liver injuries from different materials and their results were conflicting. Conclusions: The causality assessments regarding DILI of herbal medicine were not performed properly and causative materials were misclassified in most of the studies published in Korea. These make the safety issue still ambiguous because of the limitations and lack of objectivity of the studies. More rigorous studies are required for clearly addressing these conflicting issues with cooperative investigation between traditional Korean and western medicine.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.3
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• pp.285-291
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• 2014

Recently, many researchers have paid attention to the study on generation of new linked data from tables by using linked open data (e.g. RDF, OWL). This paper proposes a new method for such generation of linked data. A pattern-based method intrinsically has a conflict problem among patterns. For instance, several patterns, mapping a single header of a table into different properties of linked data, conflict with each others. Existing studies have sacrificed precision by applying a statistically dominant pattern or have ignored conflicting patterns to increase precision. The proposed method finds appropriate patterns for all headers in a given table by connecting patterns applied to the headers. Experiments using DBPedia and Wikipedia showed results that conflicts of patterns are effectively resolved by the proposed method.