• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.12
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• pp.6145-6158
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• 2019

It is a challenge for the current security industry to respond to a large number of malicious codes distributed indiscriminately as well as intelligent APT attacks. As a result, studies using machine learning algorithms are being conducted as proactive prevention rather than post processing. The k-NN algorithm is widely used because it is intuitive and suitable for handling malicious code as unstructured data. In addition, in the malicious code analysis domain, the k-NN algorithm is easy to classify malicious codes based on previously analyzed malicious codes. For example, it is possible to classify malicious code families or analyze malicious code variants through similarity analysis with existing malicious codes. However, the main disadvantage of the k-NN algorithm is that the search time increases as the learning data increases. We propose a fast k-NN algorithm which improves the computation speed problem while taking the value of the k-NN algorithm. In the test environment, the k-NN algorithm was able to perform with only the comparison of the average of similarity of 19.71 times for 6.25 million malicious codes. Considering the way the algorithm works, Fast k-NN algorithm can also be used to search all data that can be vectorized as well as malware and SSDEEP. In the future, it is expected that if the k-NN approach is needed, and the central node can be effectively selected for clustering of large amount of data in various environments, it will be possible to design a sophisticated machine learning based system.

• Fisheries and Aquatic Sciences
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• v.10 no.1
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• pp.1-7
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• 2007

The induction of cellular and humoral immunity and cytokine gene expression by synthetic CpG oligodexoynucleotides (CpG-ODNs) has not been investigated systematically in olive flounder Paralichthys olivaceus in vivo. We optimized the proper concentration of CpG-ODNs using an in vitro assay for the superoxide anion $(O_2^-)$. CpG-ODNs induced $O_2^-$ and nitric oxide (NO) production, lysozyme activity, and the proinflammatory cytokine gene expression of $IL-1{\beta}$ and $TNF-{\alpha}$ in olive flounder significantly in vivo, whereas non-CpG-ODNs did not produce these effects or produced them to a lesser extent. This implied that CpG-ODNs could stimulate cellular and humoral immunity and cytokine gene expression in olive flounder. This is the first evidence of NO production and the first study on the mRNA expression of the proinflammatory cytokine genes $IL-1{\beta}$ and $TNF-{\alpha}$ in olive flounder in response to CpG-ODNs. Comparison of the variation in NO production and lysozyme activity to that of other studies led us to postulate that a group-specific difference exists in the immune responses of olive flounder against CpG-ODNs. Furthermore, the detailed immunostimulatory spectrum of CpG-ODNs in olive flounder could be a useful index with which to analyze the effect of CpG-ODNs against the challenge test prior to field applications.

• Journal of Korea Game Society
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• v.17 no.2
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• pp.63-74
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• 2017

The study examined how the fun elements of online games and gamers' self-construals affected their flow experience and loyalty to games, focusing on the comparison between the social gamers and the asocial gamers. Results showed that, first, there were significant differences between the two groups in the respective fun elements of achievement, challenge, and closeness; second, differences of gamers' self-construals were found in game environment rather than lifeworld environment; third, the flow experience and game loyalty of social gamers were higher than those of asocial gamers; finally, there were significant differences between the two groups in the effects of the fun elements and gamers' self-construals on their flow experience and game loyalty.

• The Journal of the Korea Contents Association
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• v.18 no.6
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• pp.564-573
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• 2018

External environment of enterprises are rapidly changing brought about mainly by global competition, cost and profitability pressures, and emerging new technology. In particular, frequent change of customer requirements is a tough challenge to manufacturing company. To cope with these challenges, a production planning and scheduling (PP&S) function might be established to provide accountability for both customer service and operational efficiency. PP&S deals with short-term decision making in the production process of whole supply chain. The task of PP&S is to seek a balance between customer orders and limited resources. At present, many PP&S software solutions have been utilized in many enterprises to generate a realistic production plan and schedule efficiently. The aim of this paper is to analyze the PP&S functionalities and its system architecture from the perspective of SCM (Supply Chain Management), and propose the PP&S solution classification framework to facilitate the comparison among various solutions.

• Journal of Korea Game Society
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• v.16 no.1
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• pp.43-50
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• 2016

This research tried to evaluate the competitiveness of a mobile game in the aspect of emotional value which was developed on the purpose of improving specific emotional features. An evaluation of emotional value of a game before its commercial service will provide an effective advice for its marketing and service. The target game to be evaluated on this research is a mobile puzzle game of match-3 genre. We compared the game with Candy crush saga and Poko pang, and the indicators used to evaluate emotional features were flow, challenge, and intention of use. The importance values of indicators were calculated using AHP. And the three games were evaluated by pair-wise comparison method. Finally, the importance values of each indicators were applied to the evaluated results to make overall game quality value.

• Spatial Information Research
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• v.19 no.1
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• pp.107-116
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• 2011

Due to development of environment of wireless Internet, location based services on the basis of spatial data have been increased such as real time traffic information as well as CNS(Car Navigation System) to provide mobile user with route guidance to the destination. However, the current application adopting the file-based system has limitation of managing and storing the huge amount of spatial data. In order to supplement this challenge, research which is capable of managing large amounts of spatial data based on embedded database system is surely demanded. For this reason, this study aims to suggest the lossless compression technique by using the hybrid approach of BytePacking and Lempel-Ziv which can be applicable in DBMS so as to save a mass spatial data efficiently. We apply the proposed compression technique to actual the Seoul and Inchcon metropolitan area and compared the existing method with suggested one using the same data through analyzing the query processing duration until the reconstruction. As a result of comparison, we have come to the conclusion that suggested technique is far more performance on spatial data demanding high location accuracy than the previous techniques.

• Korean Journal of Community Nutrition
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• v.19 no.3
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• pp.223-230
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• 2014

Objectives: The purpose of this study was to provide the preliminary data for dietary education to increase students' vegetables intake. Methods: The attitude of vegetables consumption (5-Likert scale), preference score (7-Likert scale) and eating frequency (5-Likert scale) of 9 fragrance vegetables were investigated by survey questionnaire. A total of 370 students enrolled in primary, middle, high schools, and university participated in the study and data were analyzed by the SPSS WIN (ver 12.0). Results: About 40% of those surveyed answered that they do not eat some kinds of foods and 16% of students do not eat vegetables, the most unfavorable foods. The students in all groups (primary $2^{nd}$ and $2^{th}$, middle and high school, university students) answered that they liked vegetables with the highest score in university students, and they did not often eat fragrance vegetables. Lower age student group, especially primary school $2^{nd}$ showed more positive attitudes of eating challenge toward no experience, bad taste, and dislike but nutritious vegetable foods. The most important factor of vegetable preference was taste, the biggest reason of both like and dislike. Only 4 students designated nutrition as for vegetable dislike reason, means that all students knew about the nutritional importance of vegetables. It was shown that the color and flavor of the vegetables act as dislikable reason rather than likable reason. The significant correlations between preference score and intake frequency of fragrance vegetables were confirmed, and the younger the students the greater the correlation coefficient. Conclusions: Thus providing more chance to experience vegetables, such as fragrance vegetables and education about the importance of balanced diet will be an effective way of increasing vegetables intake, and the younger the students the greater the education effect.

• Korean Journal of Community Nutrition
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• v.24 no.6
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• pp.512-524
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• 2019

Objectives: The purpose of this study was to examine the food allergy-related knowledge, awareness, and performance of dietitians at children's hospitals, depending on whether or not they have a clinical dietitian certificate. Methods: A questionnaire survey was administered to 41 dieticians at children's hospitals registered as a part of the Korean Hospital Association. The survey consisted of questionnaires examining general characteristics, nutritional counseling-related characteristics, and food allergy-related characteristics (food allergy-related knowledge, awareness, and performance). We examined differences according to the status of clinical dietitian certification. Results: The proportion of subjects who were holders of clinical dietitian certificates was 48.8%. There were differences between holders of clinical dietitian certificates and non-holders as follows. Regarding nutritional awareness and performance, 'needs to provide nutrition counseling in children's hospitals', 'providing nutrition counseling services in working hospitals', and 'whether there is a nutrition counseling room' scored higher among holders of clinical dietitian certificates than non-holders. Holders of clinical dietitian certificates showed higher scores for knowledge of food allergy symptoms and food allergy management than non-holders. For food allergy awareness and performance, 'self-assessment of food allergy knowledge understanding level', 'awareness of open oral food challenge (OFC)', 'recognition of the need for education and counseling on food allergy for patients / guardians', and 'food allergy related educational experience' scored higher among holders of clinical dietitians certificates than in non-holders. Conclusions: Children's hospital dietitians with a clinical dietitian certificate showed high knowledge, awareness, and performance related to food allergies. It is thus necessary to employ a clinical dietitian for food allergy management in children's hospitals. In addition, training and conservative education are necessary for the management of food allergies for children's hospital dietitians.

• Journal of Information Management
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• v.41 no.4
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• pp.93-118
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• 2010

This study was aimed to establish a workable strategies to operate KESLI consortium reliably. To encourage the research purposes, it was mainly investigated international literature on current challenges for the e-journals consortium in comparison with the domestic implications. Major issues and challenges are divided to six items by scholarly communication changes and e-journals percentage increase, a big deal for a contract -based consortium pricing model in vogue, a consortium of the price hikes and making budget difficulties, use the standard statistics by the results of the use, archiving and archive security uncertainty, and contracts public availability of such external conditions. As a result, the international challenges of E-journals consortium was similar to KESLI, but the depth of information and research on domestic was weaker than the international research. To see more research and a rational perception based on scientific evidence and alternatives that enable KESLI working in the field was needed to be.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.1
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• pp.123-130
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• 2021

With the recent developments in computer technology, there has been an increasing interest in the field of machine learning. This also has led to a significant increase in real business cases of machine learning theory in various sectors. In finance, it has been a major challenge to predict the future value of financial products. Since the 1980s, the finance industry has relied on technical and fundamental analysis for this prediction. For future value prediction models using machine learning, model design is of paramount importance to respond to market variables. Therefore, this paper quantitatively predicts the stock price movements of individual stocks listed on the KOSPI market using machine learning techniques; specifically, the reinforcement learning model. The DQN and A2C algorithms proposed by Google Deep Mind in 2013 are used for the reinforcement learning and they are applied to the stock trading strategies. In addition, through experiments, an input value to increase the cumulative profit is selected and its superiority is verified by comparison with comparative algorithms.