• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2002.12a
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• pp.383-386
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• 2002

In this paper, we investigated the pattern recognition performance of the numeric patterns (from 0 to 9) using DNA coding method. The pattern recognition performance of the DNA coding method is compared to the that of the GA(Genetic Algorithm). GA searches effectively an optimal solution via the artificial evolution of individual group of binary string using binary coding, while DNA coding method uses four-type bases denoted by A(Adenine), C(Cytosine), G(Guanine) and T(Thymine), The pattern recognition performance of GA and DNA coding method is evaluated by using the same genetic operators(crossover and mutation) and the crossover probability and mutation probability are set the same value to the both methods. The DNA coding method has better characteristics over genetic algorithms (GA). The reasons for this outstanding performance is multiple possible solution presentation in one string and variable solution string length.

• Communications for Statistical Applications and Methods
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• v.28 no.4
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• pp.329-338
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• 2021

Deep learning methods have been developed, used in various fields, and they have shown outstanding performances in many cases. Many studies predicted a daily stock return, a classic example of time-series data, using deep learning methods. We also tried to apply deep learning methods to Korea's stock market data. We used Korea's stock market index (KOSPI) and several individual stocks to forecast daily returns and directions. We compared several deep learning models with other machine learning methods, including random forest and XGBoost. In regression, long short term memory (LSTM) and gated recurrent unit (GRU) models are better than other prediction models. For the classification applications, there is no clear winner. However, even the best deep learning models cannot predict significantly better than the simple base model. We believe that it is challenging to predict daily stock return data even if we use the latest deep learning methods.

• Journal of Digital Convergence
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• v.16 no.11
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• pp.353-361
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• 2018

The purpose of this study was to explore the lived experiences of university students who were placed under academic probation. A qualitative research design was used to understand the experiences of students. The data were collected using individual in-depth interviews with 4 students who had experiences of low academic achievements at least once during 5 semesters. Low self esteem was the main issue in this study and inner struggles were identified within 4 themes: Outstanding students controlled by helpers; A costume play as a outstanding student; Realize that I am a under academic achiever; Realize who I am and what I have to do. This study identified that low academic achievement brings to low self esteem seriously, however, human being has strong resilience in the traumatic circumstances. Thus, it is absolutely necessary devoting efforts to develop suitable student supporting programs in the way of inner and outer network systems.

• The Journal of the Korea Contents Association
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• v.12 no.10
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• pp.169-177
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• 2012

Due to the influences of global financial crisis, countries are putting their efforts on the enhancement of appropriateness and transparency of director compensation. In several countries including Germany, the United States, the United Kingdom, France, and Italy, listed companies and financial institutions in certain levels make public announcement for compensations of individual directors, not the averages. Recently, even Asian countries including China, Hong Kong, and Singapore are introducing individual director compensation public announcement policies. On the other hand, in cases of companies, which must submit annual reports, under current Korean capital market laws and enforcement ordinances, they are obligated to mention 'total wage paid to all executives in that business year' on the annual report, but does not have to mention individual wages of each executive. About this, at the 17th national assembly, revised bill for the Securities and Exchange Act for companies to mention wages of each executive. The financial world is opposing to open individual director compensation to the public as they concern about the shrinking of outstanding human resources recruitment, breach of corporate confidence, privacy invasion, deterioration of labor-management relations, and downfall of the executive's management will as director compensation will be standardized downward; however, if public opening of individual director compensation is forced, domestic companies will prepare more objective and rational standards when they calculate director compensations, and moreover, it will prevent arbitrary intervention of dominant shareholders. Therefore, to clearly and efficiently control director compensation, we need regulations for obligating public opening of individual director compensation.

• Journal of the Microelectronics and Packaging Society
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• v.25 no.2
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• pp.9-17
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• 2018

Aluminum (Al) and its alloys have been used widely in a variety of industries such as structural, electronic, aerospace, and particularly automotive industries due to their lightweight characteristic, outstanding ductility, formability, high oxidation and corrosion resistance, and high thermal and electrical conductivity. Al have different kinds of alloys according to the various additional elements system and they should be selected properly depending on their effectiveness and suitability for their particular purpose. The major elements for Al alloys are silicon (Si), magnesium (Mg), manganese (Mn), copper (Cu), and zinc (Zn). In order for Al alloys to use for each industry, it is necessary to study of Al to Al joining and/or the Al to dissimilar materials joining to combine the individual parts into one. Many studies on joining technologies about Al to Al and Al to dissimilar materials have been performed such as press joining, bolted joint, welding, soldering, riveting, adhesive bonding, and brazing. This study reviews a variety of Al alloys and their joining method including its principles and properties with recent trends.

• Water for future
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• v.15 no.1
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• pp.33-42
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• 1982

In recent years owing to extensive land reclamation, increased river engineering activites and morer intense flood plain use, river geomorphology has attracted considerable attention. One of outstanding problems has been maintenance of river meanders and nearly all natural river exhibit the tendency to meander. Often the meander geometry was fitted in to various idealized model. COnsequently, both the selection of data and the methods to determine the geometric parameters were highly subject to individual preferences. This study applied statistical analysis in tipifying their shape and analysised meander characteristics by channel model of line generalization algorithm. This method is applied to Geum river system. The results show that the variance of curvature is a better index to describe the meander intensity and the kurtosis is a good index to characterize the total length of the straight sections for a given reach. The results also show that channel model of line generalization algorithm is a good model in analysis of meander characterisitics.

• Journal of the Korean Institute of Intelligent Systems
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• v.13 no.1
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• pp.37-44
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• 2003

In this paper, we investigated the performance of both DNA coding method and Genetic Algorithm(GA) in numeric pattern (from 0 to 9) recognition. The performance of the DNA coding method is compared to the that of the GA. GA searches effectively an optimal solution via the artificial evolution of individual group of binary string using binary coding, while DNA coding method uses four-type bases denoted by Adenine(A), Cytosine(C), Guanine(G) and Thymine(T). To compare the performance of both method, the same genetic operators(crossover and mutation) are applied and the probabilities of crossover and mutation are set the same values. The results show that the DNA coding method has better performance over GA. The reasons for this outstanding performance are multiple candidate solution presentation in one string and variable solution string length.

• Smart Structures and Systems
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• v.13 no.4
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• pp.685-709
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• 2014

Carbon nanotubes are due to their outstanding mechanical properties destined for a wide range of possible applications. Since the knowledge of the material behavior is vital regarding the possible applications, experimental and theoretical studies have been conducted to investigate the properties of this promising material. The aim of the present research is the calculation of mechanical properties and of the mechanical behavior of single wall carbon nanotubes (SWCNTs). The numerical simulation was performed on basis of a molecular mechanics approach. Within this approach two different issues were taken into account: (i) the nanotube geometry and (ii) the modeling of the covalent bond. The nanotube geometry is captured by two different approaches, the roll-up and the exact polyhedral model. The covalent bond is modeled by a structural molecular mechanics approach according to Li and Chou. After a short introduction in the applied modeling techniques, the results for the Young's modulus for several SWCNTs are presented and are discussed extensively. The obtained numerical results are compared to results available in literature and show an excellent agreement. Furthermore, deviations in the geometry stemming from the different models are given and the resulting differences in the numerical findings are shown. Within the investigation of the deformation mechanisms occurring in SWCNTs, the basic contributions of each individual covalent bond are considered. The presented results of this decomposition provide a deeper understanding of the governing deformation mechanisms in SWCNTs.

• Journal of the Korean Society for Library and Information Science
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• v.12
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• pp.87-120
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• 1985

The present study aims at identifying the nature of the organizational patterns for serial management and thus providing an assitance for decision-making in regards to how the serials in an individual library be processed. The premise of the paper is that effective management is ensued from adopting proper organizational arrangement. In the first part. attempts are made to bring to the fore the problems inherent in serial management and the efforts made for possible solutions. The main portion of the paper eximines the two outstanding patterns; namely, the decentralized arrangement patterned after the traditional functions of a library and the centralized one integrating such functions as acquisition, cataloging and information service. Both are examined in light of nature, development, applicability, strengths and weeknesses. Automation is viewed as a strong force for a change in organizing serial work as it has already brought about organizational change in some large libraries. The general conclusion is that a large collection(5,000 active titles or more) has much to benefit from a separate, specialized department. which integrates the related functions; and the smaller collection can be effectively treated like the rest of the library materials, assigning a specific unit responsible for serial work and promoting an informal communication activities which would bring about coordination and coorperation for the free flow of serial work.

• The Plant Pathology Journal
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• v.38 no.2
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• pp.159-166
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• 2022

Barley yellow dwarf virus (BYDV) has been a major viral pathogen causing significant losses of cereal crops including oats worldwide. It spreads naturally through aphids, and a rapid, specific, and reliable diagnostic method is imperative for disease monitoring and management. Here, we established a rapid and reliable method for isothermal reverse transcription recombinase polymerase amplification (RT-RPA) combined with a lateral flow strips (LFS) assay for the detection of BYDV-infected oat samples based on the conserved sequences of the BYDV coat protein gene. Specific primers and a probe for RT-RPA reacted and optimally incubated at 42℃ for 10 min, and the end-labeled amplification products were visualized on LFS within 10 min. The RT-RPA-LFS assay showed no cross-reactivity with other major cereal viruses, including barley mild mosaic virus, barley yellow mosaic virus, and rice black streaked dwarf virus, indicating high specificity of the assay. The sensitivity of the RT-RPA-LFS assay was similar to that of reverse transcription polymerase chain reaction, and it was successfully validated to detect BYDV in oat samples from six different regions and in individual aphids. These results confirm the outstanding potential of the RT-RPA-LFS assay for rapid detection of BYDV.