• Knowledge Management Research
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• v.23 no.3
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• pp.129-152
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• 2022

As a key infrastructure for digital transformation, the spread of data, network, artificial intelligence (D.N.A.) fields and the emergence of promising industries are laying the groundwork for active digital innovation throughout the economy. In this study, by applying the text mining methodology, major topics were derived by using the abstract, publication year, and research field of the study corresponding to the SCIE, SSCI, and A&HCI indexes of the WoS database as input variables. First, main keywords were identified through TF and TF-IDF analysis based on word appearance frequency, and then topic modeling was performed using g-DMR. With the advantage of the topic model that can utilize various types of variables as meta information, it was possible to properly explore the meaning beyond simply deriving a topic. According to the analysis results, topics such as business intelligence, manufacturing production systems, service value creation, telemedicine, and digital education were identified as major research topics in digital transformation. To summarize the results of topic modeling, 1) research on business intelligence has been actively conducted in all areas after COVID-19, and 2) issues such as intelligent manufacturing solutions and metaverses have emerged in the manufacturing field. It has been confirmed that the topic of production systems is receiving attention once again. Finally, 3) Although the topic itself can be viewed separately in terms of technology and service, it was found that it is undesirable to interpret it separately because a number of studies comprehensively deal with various services applied by combining the relevant technologies.

• Journal of the Korean Society of Radiology
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• v.16 no.7
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• pp.835-842
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• 2022

This study is aimed to evaluate the effects of a synthetic MR technique in reducing metal artifacts. In the experiment, the in-plane and through-plane images were acquired by applying a synthetic MR technique and a high-speed spin echo technique to a phantom manufactured with screw for spinal surgery. The area of the metal artifact was compared. The metal artifacts were measured by dividing the signal-loss and the signal pile-up areas, and the area of the final artifact was calculated through the sum of the two. As a result, the metal artifacts were relatively reduced when the synthetic MR techniques were applied to both in-plane and through-plane. Comparing by sequence, the in-plane T1 images decreased by 23.45%, T2 images by 20.85%, PD images by 19.67%, and FLAIR images by 22.12%. Also, in the case of the through-plane, the T1 image decreased by 62.95%, the T2 image decreased by 73.93%, the PD image decreased by 74.68%, and the FLAIR image decreased by 66.43%. The cause of this result is that when the synthetic MR technique is applied, the distortion is due to the signal pile-up and does not occur and the size of the entire metal artifact is reduced. Therefore, synthetic MR technique can very effectively reduce metal artifacts, which can help to increase the diagnostic value of images.

• Journal of Software Assessment and Valuation
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• v.17 no.1
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• pp.101-113
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• 2021

In this paper, we introduce a speaker overlap system and look at the process of converting the existed system on the specific framework of artificial intelligence. Speaker overlap is when two or more speakers speak at the same time during a conversation, and can lead to performance degradation in the fields of speech recognition or speaker recognition, and a lot of research is being conducted because it can prevent performance degradation. Recently, as application of artificial intelligence is increasing, there is a demand for switching between artificial intelligence frameworks. However, when switching frameworks, performance degradation is observed due to the unique characteristics of each framework, making it difficult to switch frameworks. In this paper, the process of converting the speaker overlap detection system based on the Keras framework to the pytorch-based system is explained and considers components. As a result of the framework switching, the pytorch-based system showed better performance than the existing Keras-based speaker overlap detection system, so it can be said that it is valuable as a fundamental study on systematic framework conversion.

• Journal of Practical Agriculture & Fisheries Research
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• v.13 no.1
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• pp.115-129
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• 2011

This study was performed to investigate the effects of food organism and water quality on the mass production of larval red marbled rockfish, Sebastiscus tertius. When rotifer cultured with different food stuffs were supplied to the larvae, rotifer cultured with concentrated Chlorella provided the highest in total length 11.9 mm and survival rate was the highest by 47.0% fed that cultured with ω-yeast Growth and survival rate of larvae fed on enriched rotifer with ω-yeast and super selco, super selco of enriched treatment showed that the best results not only growth but also survival rate. For instance of Artemia, the growth was not significantly different with other treatment but the survival rate was significantly higher than others. The growth of larvae fed with different diets indicated that rotifer+Artemia+commercial diet treatment was the highest on the total length and body weight 18.40 mm and 18.1 mg, respectively, whether the survival rate was rotifer+Artemia treatment was the highest as 57.5%. The most effective density of Chlorella was 10×10⁵ cells/ml for growth of larvae. That density showed that total length and body weight were 11.83 mm and 14.3 mg, respectively. The survival rate was the most effective for 20×10⁵ cells/ml of Chlorella density. That density represented the highest survival rate as 54.5%. Comparing of PSB adding effect, PSB density 15×10⁵ cells/ml was the most effective for growth of larvae and but for survival rate PSB density 10×10⁵ cells/ml was the highest as 61.0%.

• Journal of The Geomorphological Association of Korea
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• v.17 no.2
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• pp.1-13
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• 2010

The technique of mountain ordering developed by Yamada(1999) has been tested to two small islands (Namhaedo: 301km², Geojedo: 378km²). The results and experiences above were extended and applied to the whole area of the southern part of Korean Peninsula. Three areas such as Seorak-Taebaek Mountains, Jiri-Deogyu Mountains, and Youngnam Alps are identified as the highest, 5th order mountains. 10 areas are classified as the 4th order and 87 areas as the 3rd order. It is suggested that the 5th order mountains are related to the axis of uplift and the 4th and 3rd order mountains have the same direction (NE-SW) as that of the secondary mountain systems in the Korean Peninsula. The logarithmic values of number, area, and relative altitude of the ordered mountains have the linear relationship with the order, as the laws of stream order. The several mountains which are not included in the existing mountain systems could be identified among the ordered mountains, and those mountains could be used as the basis to understand the geological structure of the Korean Peninsula. Most of the National Parks and the Provincial Parks are distributed on the 3rd, 4th, 5th order mountains. It is especially confirmed that the Songnisan National Park take a role to link the Seorak-Taebaek Mountains and Jiri-Deogyu Mountains as a important ecological axis. Therefore, it would be validated that the technique of mountain ordering has the practical values as well as the geomorphological significances.

• Journal of Practical Agriculture & Fisheries Research
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• v.3 no.1
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• pp.48-69
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• 2001

A lot of clones of the genus Dioscorea have been introduced from some tropical and subtropical regions since 1997. In 33 clones of water yams (Dioscorea alata L.), some morphological characteristics were investigated at the field. Variation ranges of the total weight and tuber number per stump were within the ranges from 90 to 2,147 g with an average of 610 g ; and 1.3-4.7 with an average of 2.8, respectively. The color tones observed on the tuber-flesh were sorted into 3 color-categories, i.e., white, pale brown and pale purple, and those on leaves were sorted into 3 color-categories, i.e., green, heavy green and purplish green. Intraspecific genetic relationship of 19 variation types of the Yam classified by their external morphological characteristics such as leaf and tuber shape was assessed by DNA using random and specific primers. Twenty two out of 113 primers (100 random[10-mer] primers, two 15 mer [M13 core sequence, and (GGAT)4 sequence]) had been used in PCR-amplification. Only 12 primers, however, were successful in DNA amplification in all of the analyzed plants, resulting in 93 randomly and specifically amplified DNA fragments. The analyzed taxa showed very high polymorphisms(69 bands, 71.0%), allowing individual taxon to be identified based on DNA fingerprinting. Monomorphic bands among total amplified DNA bands of each primer was low under the 50%. Similarity indices between accessions were computed from PCR(polymerase chain reaction) data, and genetic relationships among intraspecific variations were closely related at the levels ranging from 0.66 to 0.90.

• Journal of Practical Agriculture & Fisheries Research
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• v.6 no.1
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• pp.50-62
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• 2004

Tuber yield and content of general component and diosgenin which is a main bioactive property were investigated in order to determine the growth characteristics of round typed yam(Dioscorea opposita L.) and the potential of artificial culture at Suwon, Korea. Tubers of round yam was initiated to form at 60 days after planting and then enlargement of tubers lasted by 160 days after planting. Compared to short typed yam(108g), tuber weight of round yam was higher(127g) on the basis of dry weight at 200 days after planting. In comparison of general component between round yam and short yam, protein of round yam(3.62%) was higher than short yam(2.10%). Water content in round yam(64.5%) was lower in short yam(79.4%), indicating a higher dry weight ratio of round yam. Hardness of round yam was 2787.6 while short yam showed about two times higher hardness(4946.9). Lightness was higher in round yam(77.4). In tuber extracts analysis, diosgenin content was respectively 3.32% in round yam and 2.61% in short yam.

• The Journal of Korean Institute of Next Generation Computing
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• v.13 no.3
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• pp.15-25
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• 2017

As the value and importance of softwares are growing up, software theft and piracy become a much larger problem. To tackle this problem, it is highly required to provide an accurate method for detecting software theft and piracy. Especially, while software theft is relatively easy in the case of Android applications (apps), screening illegal apps has not been properly performed in Android markets. In this paper, we propose a method to effectively measure the similarity between Android apps for detecting software theft at the executable file level. Our proposed method extracts method reference frequency and manifest information through static analysis of executable Android apps as the main features for similarity measurement. Each app is represented as an n-dimensional vectors with the features, and then cosine similarity is utilized as the similarity measure. We demonstrate the effectiveness of our proposed method by evaluating its accuracy in comparison with typical source code-based similarity measurement methods. As a result of the experiments for the Android apps whose source file and executable file are available side by side, we found that our similarity degree measured at the executable file level is almost equivalent to the existing well-known similarity degree measured at the source file level.

• The Southeast Asian review
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• v.26 no.3
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• pp.1-50
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• 2016

This paper aims to investigate the cultural conflicts and characteristics of anti-Korean Wave discourse taken placed among Southeast Asian countries. To do this, it takes Vietnam and Indonesia as the study cases, which have been showing a trend of anti-Korean Wave discourse as well as high popularity of Hallyu. As research methods, the paper analyzes both on-line discourses of anti-Korean Wave and the email audience interviews from both countries. The results show some significant differences between the two countries as well as the similarity that Anti-Korean Wave discourses have been actively produced and disseminated through on-line media. As for Indonesia, the Anti-Korean Wave discourse pivots on the elements clashing between Indonesia's religion and cultural values and Korean consuming culture. According to the Anti-Korean Wave discourse, K-pop contents and entertainers are criticized for damaging the society's morals and cultural identities based on Islamic rules and values. Thus, the sentiment of the Anti-Korean Wave is likely to lead to the cultural nationalism for the sake of their cultural identity. As for Vietnam, anti-Korean Wave discourse mainly consists of issues on enthusiastic K-pop fans' anti-social behaviors and generational conflicts which are presumed attributed as the chief factor of the Anti-Korean Wave. In the Vietnamese discourse, social elites and adults treat the enthusiastic K-pop fans as those who are in need of educational care or psychological therapy. Unlike the Indonesian case, anti-Korean Wave discourse in Vietnam criticized the K-pop and the performer's competence for being cheap sexy and incompetence. They also denounce Korean dramas for their trite, typical story lines, use of excessive emotion, and unrealistic nature. However, the two country's interview participants have in common both acknowledged that rather than considering the Anti-Korean Wave as an issue that needs to be resolved it should be embraced as a natural cultural phenomenon.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.19 no.2
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• pp.197-214
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• 2024

This study aimed to investigate students' perceptions at science and technology specialized universities towards entrepreneurship support policies and to derive policy improvement measures by applying a bottom-up approach to reflect the requirements of the policy beneficiaries, i.e., the students. Specifically, the research explored effective execution strategies for student entrepreneurship support policies through a survey and analysis of KAIST students. The findings revealed that KAIST students recognize the urgent need for improvement in sharing policy objectives with the student entrepreneurship field, reflecting the opinions of the campus entrepreneurship scene in policy formulation, and constructing an entrepreneurship-friendly academic system for nurturing student entrepreneurs. Additionally, there was a highlighted need for enhancement in the capacity of implementing agencies, as well as in marketing and market development capabilities, and organizational management and practical skills as entrepreneurs within the educational curriculum. Consequently, this study proposes the following improvement measures: First, it calls for enhanced transparency and accessibility of entrepreneurship support policies, ensuring students clearly understand policy objectives and can easily access information. Second, it advocates for student-centered policy development, where students' opinions are actively incorporated to devise customized policies that consider their needs and the actual entrepreneurship environment. Third, there is a demand for improving entrepreneurship-friendly academic systems, encouraging more active participation in entrepreneurship activities by adopting or refining academic policies that recognize entrepreneurship activities as credits or expand entrepreneurship-related courses. Based on these results, it is expected that this research will provide valuable foundational data to actively support student entrepreneurship in science and technology specialized universities, foster an entrepreneurial spirit, and contribute to the creation of an innovation-driven entrepreneurship ecosystem that contributes to technological innovation and social value creation.