• Journal of Industrial Convergence
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• v.21 no.2
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• pp.17-23
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• 2023

The purpose of this study is to identify the major research trends of COVID-19 in recent times. In addition, we would like to use SCOPUS, an overseas academic database provided by Elsevier, to understand the research trends of COVID-19 in the last three years (2020-2022). As a result of frequency analysis, covid 7,248 cases, pandemic 4,974 cases, study 3,313 cases, research 2,137 cases, crisis 1,777 cases appeared in order of importance. As a result of the trend analysis, we found that studies on covid and pandemic are progressing steadily, but those on study, research, and crisis have decreased somewhat recently. As a result of LDA topic modeling analysis, the important topics were found to be 'covid19, pandemic'. This shows that research on COVID-19 is important not only in everyday life, but also in companies and organizations, and therefore in other academic fields besides medicine. When (the study of)COVID-19 becomes more important than ever, there seems to be an ongoing interest in the impact and ramifications of COVID-19 research.

• Journal of The Geomorphological Association of Korea
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• v.28 no.3
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• pp.51-61
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• 2021

Following the previous study, we report a complementary dating data on the silty layers deposited in paleo-tidal conditions of the study area, Dangjeong-ri, Seocheon-gun and suggest coastal terrain development processes over the past 200,000 years. Based on the dating results, the silty layers distributed up to 25 m above mean sea level were deposited between 171 and 183 ka, and the gravel layer deposited in a fluvial environment of a paleo-Dangjeong stream was found to have formed between 78 and 83 ka. Considering relative altitudes of distribution, an uplift rate of the study area in the western coast is judged to be relatively 0.5~0.7 low to that of Pohang area in the eastern coast. Compared to Busan and Sacheon areas in the southern coast, it is assumed that an uplift rate of the study area shows a similar level with those during the late Quaternary.

• Korean Journal of Remote Sensing
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• v.35 no.6_2
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• pp.1107-1115
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• 2019

Satellite data play a major role in supporting knowledge about forest fire by delivering rapid information to map areas damaged. This study, we used 7 Sentinel-2A images to detect change area in forests of Sokcho on April 4, 2019. The process of classify forest fire severity used 7 levels from Sentinel-2A dNBR(differenced Normalized Burn Ratio). In the process of classifying forest fire damage areas, the study selected three areas with high regrowth of vegetation level and conducted a detailed spatial analysis of the areas concerned. The results of dNBR analysis, regrowth of coniferous forest was greater than broad-leaf forest, but NDVI showed the lowest level of vegetation. This is the error of dNBR classification of dNBR. The results of dNBR time series, an area of forest fire damage decreased to a large extent between April 20th and May 3rd. This is an example of the regrowth by developing rare-plants and recovering broad-leaf plants vegetation. The results showed that change area was detected through the change detection of danage area by forest category and the classification errors of the coniferous forest were reached through the comparison of NDVI and dNBR. Therefore, the need to improve the precision Korean forest fire damage rating table accompanied by field investigations was suggested during the image classification process through dNBR.

• Journal of the Institute of Convergence Signal Processing
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• v.7 no.3
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• pp.136-142
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• 2006

Existing buffer management schemes for shared-memory output queueing switches can be classified into two types: In the first type, some constant amount of memory space is guaranteed to each virtual queue using static queue thresholds. The static threshold method (ST) belongs to this type. On the other hand, the second type of approach tries to maximize the buffer utilization in 머 locating buffer memories. The complete sharing (CS) method is classified into this type. In the case of CS, it is very hard to protect regular traffic from mis-behaving traffic flows while in the case of ST the thresholds can not be adjusted according to varying traffic conditions. In this paper, we propose a new buffer management method called weighted dynamic thresholds (WDT) which can process packet flows based on loss priorities for quality-of-service (QoS) functionalities with fairly high memory utilization factors. We verified the performance of the proposed scheme through computer simulations.

• Current Photovoltaic Research
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• v.2 no.1
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• pp.1-7
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• 2014

We developed a method of growing thin Si film at $600^{\circ}C$ by hot wire CVD using a very thin large-grained poly-Si seed layer for thin-film Si solar cells. The seed layer was prepared by crystallizing an amorphous Si film by vapor-induced crystallization using $AlCl_3$ vapor. The average grain size of the p-type epitaxial Si layer was about $20{\mu}m$ and crystallographic defects in the epitaxial layer were mainly low-angle grain boundaries and coincident-site lattice boundaries, which are special boundaries with less electrical activity. Moreover, with a decreasing in-situ boron doping time, the mis-orientation angle between grain boundaries and in-grain defects in epitaxial Si decreased. Due to fewer defects, the epitaxial Si film was high quality evidenced from Raman and TEM analysis. The highest mobility of $360cm^2/V{\cdot}s$ was achieved by decreasing the in-situ boron doping time. The performance of our preliminary thin-film solar cells with a single-side HIT structure and $CoSi_2$ back contact was poor. However, the result showed that the epitaxial Si film has considerable potential for improved performance with a reduced boron doping concentration.

• Proceedings of the Korea Database Society Conference
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• 1994.09a
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• pp.131-146
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• 1994

Downsizing IS is rapidly emerging as one of new information systems of the 1990s that involve (1) the cost reduction, (2) the reduction of MIS staff, and (3) the transfer of IS functions to end-users. As downsizing is relatively new information systems, little is known about the causes, the process, or the consequences of downsizing. Case study was chosen as the research methodology of this study. The downsizing IS of Namsun Aluminum Co. was chosen for the exploratory case study. The detailed and qualitative analyses to Namsun were performed with the use of observation, participation, interview techniques. Consequently, the causes, the process, and the consequences of Namsun's downsizing were analyzed. As the main cause, downsizing was started with the purpose of cost reduction. The important consequences of downsizing are as follows ： (1) About 700 mi1lion won reduction in the cost of initially developing the downsizing was achieved. (2) Downsizing is performing Namsun's mission critical applications. (3) Namsun's downsizing could be considered to be SIS(strategic information systems).

• Information Systems Review
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• v.7 no.2
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• pp.213-228
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• 2005

Due to the rapid progress of IT utilization, many firms have been perplexed how to increase the productivity and efficiency of the Information System and also to reduce the Total Cost of Ownership (TCO) of IS Organization. This paper employs the lens of the competitive advantages through Information System Outsourcing (ISO) arrangement. And also the concept of the "Utility Computing" of IBM-VNS. The Information Outsourcing System(ISO) is the fully or partly endorsed IT Outsourcing method, that supplies IT infrastructure, application system and system maintenance service, as well for the company networks. Many companies have implemented their own Information System. But some of the projects were not successfully carried out. We found many reasons for such a unsatisfaction with the quality of the new Information system. In this paper we select the "HanGlas Group" as the Case Study for Information System Outsourcing to overcome such difficulties. Through this Case Study we will learn the positive and negative aspects of ISO based on Utility Computing.

• Information Systems Review
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• v.7 no.2
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• pp.183-194
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• 2005

This study validated the strategic alignment approach for e-Transformation of the traditional firm through the case analysis of e-Transformation practices performed in Pulmuone Inc., which had been managed and operated in a traditional mode. The e-Transformation approach identified in this study was focused upon the strategic alignment among 4 domains of business strategy, organizational infrastructure and processes, IT strategy, and IT infrastructure and processes, and was performed in the following process: 1) developing IT strategy to perform business strategy, 2) building IT infrastructure and processes to support IT strategy, and then 3) transforming organizational infrastructure and processes based on IT infrastructure and processes. The theoretical implication of this study is to empirically verify the Strategic Alignment Model hypothesized by Henderson and Venkatraman(1994) through the case analysis on e-Transformation of Korean traditional firm, and the practical contribution is to provide a feasible and effective guideline in carrying out e-Transformation of the typical traditional organization.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2001.06a
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• pp.1245-1245
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• 2001

Food adulteration is a serious consumer fraud and a matter of concern to food processors and regulatory agencies. A range of analytical methods have been investigated to facilitate the detection of adulterated or mis-labelled foods & food ingredients but most of these require sophisticated equipment, highly-qualified staff and are time-consuming. Regulatory authorities and the food industry require a screening technique which will facilitate fast and relatively inexpensive monitoring of food products with a high level of accuracy. Near infrared spectroscopy has been investigated for its potential in a number of authenticity issues including meat speciation (McElhinney, Downey & Fearn (1999) JNIRS, 7(3), 145-154; Downey, McElhinney & Fearn (2000). Appl. Spectrosc. 54(6), 894-899). This report describes further analysis of these spectral sets using a hierarchical approach and binary decisions solved using logistic regression. The sample set comprised 230 homogenized meat samples i. e. chicken (55), turkey (54), pork (55), beef (32) and lamb (34) purchased locally as whole cuts of meat over a 10-12 week period. NIR reflectance spectra were recorded over the wavelength range 400-2498nm at 2nm intervals on a NIR Systems 6500 scanning monochromator. The problem was defined as a series of binary decisions i. e. is the meat red or white\ulcorner is the red meat beef or lamb\ulcorner, is the white meat pork or poultry\ulcorner etc. Each of these decisions was made using an individual binary logistic model based on scores derived from principal component or partial least squares (PLS1 and PLS2) analysis. The results obtained were equal to or better than previous reports using factorial discriminant analysis, K-nearest neighbours and PLS2 regression. This new approach using a combination of exploratory and logistic analyses also appears to have advantages of transparency and the use of inherent structure in the spectral data. Additionally, it allows for the use of different data transforms and multivariate regression techniques at each decision step.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2001.06a
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• pp.1152-1152
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• 2001

Food adulteration is a serious consumer fraud and a matter of concern to food processors and regulatory agencies. A range of analytical methods have been investigated to facilitate the detection of adulterated or mis-labelled foods & food ingredients but most of these require sophisticated equipment, highly-qualified staff and are time-consuming. Regulatory authorities and the food industry require a screening technique which will facilitate fast and relatively inexpensive monitoring of food products with a high level of accuracy. Near infrared spectroscopy has been investigated for its potential in a number of authenticity issues including meat speciation (McElhinney, Downey & Fearn (1999) JNIRS, 7(3), 145 154; Downey, McElhinney & Fearn (2000). Appl. Spectrosc. 54(6), 894-899). This report describes further analysis of these spectral sets using a hierarchical approach and binary decisions solved using logistic regression. The sample set comprised 230 homogenized meat samples i. e. chicken (55), turkey (54), pork (55), beef (32) and lamb (34) purchased locally as whole cuts of meat over a 10-12 week period. NIR reflectance spectra were recorded over the wavelength range 400-2498nm at 2nm intervals on a NIR Systems 6500 scanning monochromator. The problem was defined as a series of binary decisions i. e. is the meat red or white\ulcorner is the red meat beef or lamb\ulcorner, is the white meat pork or poultry\ulcorner etc. Each of these decisions was made using an individual binary logistic model based on scores derived from principal component or partial least squares (PLS1 and PLS2) analysis. The results obtained were equal to or better than previous reports using factorial discriminant analysis, K-nearest neighbours and PLS2 regression. This new approach using a combination of exploratory and logistic analyses also appears to have advantages of transparency and the use of inherent structure in the spectral data. Additionally, it allows for the use of different data transforms and multivariate regression techniques at each decision step.