• Asia-Pacific Journal of Business
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• v.10 no.1
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• pp.55-72
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• 2019

Natural disasters and transient resource extraction cause new environmental problems and the waste of resources has also become a big problem. Because these kinds of environmental damage and pollution are harmful to human beings, the problem of environmental protection has become a global issue. In this situation, most consumers prefer Eco-Friendly products that benefit their health and can reduce environmental pollution as well. Businesses also try to develop marketing strategies that position products focused on the environment. At this point, the study has categorized extrinsic properties of Eco-Friendly products into brand images, the reliability of Eco-marks, advertisement views, and researches how the properties have effects on the perceived values and perceived risk in the process of consuming and how the perceived values and perceived risk have implications for purchasing intention. The consumer's perceived values are classified into emotional, social and Eco-friendly values. On the research of existing Chinese consumers or organic milk products, this study explains how the Chinese consumers make an assessment of the extrinsic property of Eco-Friendly products in the Chinese market and provide strategic implications to the Chinese market entrants.

• Journal of Multimedia Information System
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• v.6 no.3
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• pp.139-146
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• 2019

This paper, wireless internet such as Wi-Fi has a vulnerability to security. Blockchain also means a 'Ledger' in which transaction information that occurs on a public or private network is encrypted and shared among the network participants. Blockchain maintains information integrity by making it impossible for a particular node to tamper with information arbitrarily, a feature that would result in changes in the overall blockchain hash value if any one transaction information that constitutes a block was changed. The complete sharing of information through a peer-to-peer network will also cripple hacking attempts from outside, targeting specialized nodes, and prepare for the "single point of failure" risk of the entire system being shut down. Due to the value of these Blockchain, various types of Blockchain are emerging, and related technology development efforts are also actively underway. Various business models such as public block chains such as Bitcoin, as well as private block chains that allow only certain authorized nodes to participate, or consortium block chains operated by a select few licensed groups, are being utilized. In terms of technological evolution, Blockchain also shows the potential to grow beyond cryptocurrency into an online platform that allows all kinds of transactions with the advent of 'Smart Contract'. By using Blockchain technology, the company makes suggestions to overcome the vulnerability of wireless Internet.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.14 no.4
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• pp.111-121
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• 2004

With rapid growth of the Internet, network intrusions have greatly increased and damage of attacks has become more serious. Recently some kinds of Internet attacks cause significant damage to overall network performance. Current Intrusion Detection Systems are not capable of performing the real-time detection on the backbone network In this paper, we propose the broadband network intrusion detection system using the exponential smoothing method. We made an experiment with real backbone traffic data for 8 days. The results show that our proposed system detects big jumps of traffic volume well.

• Journal of Information Processing Systems
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• v.17 no.6
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• pp.1115-1126
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• 2021

Plant disease is one of the most irritating problems for agriculture growers. Thus, timely detection of plant diseases is of high importance to practical value, and corresponding measures can be taken at the early stage of plant diseases. Therefore, numerous researchers have made unremitting efforts in plant disease identification. However, this problem was not solved effectively until the development of artificial intelligence and big data technologies, especially the wide application of deep learning models in different fields. Since the symptoms of plant diseases mainly appear visually on leaves, computer vision and machine learning technologies are effective and rapid methods for identifying various kinds of plant diseases. As one of the fruits with the highest nutritional value, apple production directly affects the quality of life, and it is important to prevent disease intrusion in advance for yield and taste. In this study, an improved deep residual network is proposed for apple leaf disease identification in a novel way, a global residual connection is added to the original residual network, and the local residual connection architecture is optimized. Including that 1,977 apple leaf disease images with three categories that are collected in this study, experimental results show that the proposed method has achieved 98.74% top-1 accuracy on the test set, outperforming the existing state-of-the-art models in apple leaf disease identification tasks, and proving the effectiveness of the proposed method.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.11
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• pp.4105-4121
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• 2021

Recently, malware classification based on Deep Neural Networks (DNN) has gained significant attention due to the rise in popularity of artificial intelligence (AI). DNN-based malware classifiers are a novel solution to combat never-before-seen malware families because this approach is able to classify malwares based on structural characteristics rather than requiring particular signatures like traditional malware classifiers. However, these DNN-based classifiers have been found to lack robustness against malwares that are carefully crafted to evade detection. These specially crafted pieces of malware are referred to as adversarial examples. We consider a clever adversary who has a thorough knowledge of DNN-based malware classifiers and will exploit it to generate a crafty malware to fool DNN-based classifiers. In this paper, we propose a DNN-based malware classifier that becomes resilient to these kinds of attacks by exploiting Generative Adversarial Network (GAN) based data augmentation. The experimental results show that the proposed scheme classifies malware, including AEs, with a false positive rate (FPR) of 3.0% and a balanced accuracy of 70.16%. These are respective 26.1% and 18.5% enhancements when compared to a traditional DNN-based classifier that does not exploit GAN.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.01a
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• pp.163-164
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• 2022

본 연구는 최근 2년(2019.12.1.~2021. 11.30)간 빅카인즈를 이용하여 '메타버스 AND 비대면 교육' 키워드가 포함된 뉴스 검색 결과 1148건을 바탕으로 관계도 분석, 연관어 키워드 빈도수 및 연관어 가중치 분석을 하였다. 첫째, 관계도 분석에서 가중치 '5'로 적용한 12개의 키워드 가중치로 코로나19(64), 아바타(43), 코로나(22), 유니버스(21), 게더타운(15), 패러다임(12), 신입사원(12), 로블록스(7)로 나타났다. 둘째, 연관어 키워드 월간 빈도수로는 2019.12~ 2020.9(0건), 2020.10(1건), 2021.3(19건), 2021.4(34건), 2021.6(72건), 2021.9 (196건), 2021.11애는 233건으로 급격하게 증가하였다. 셋째 키워드와의 연관성(가중치/키워드 빈도수)으로 코로나19(113.96/515), 가상세계(67.75/ 344), 메타버스(58.36/103), 메타(49.8/5730), 가상공간(45.57/380) 순이었다. 이 분석 결과에서 위드코로나 시대의 비대면 교육으로 메타버스에 기반을 둔 가상공간 활용 교육은 더욱 증가될 것으로 예상된다.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.389-391
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• 2023

In the era of Big Data, humanity is facing a huge overflow of information. To overcome such an obstacle, many new cutting-edge technologies are being introduced. The movie recommendation system is also one such technology. To date, many theoretical and practical kinds of research have been conducted. Our research also focuses on the movie recommendation system by implementing methods from Social Network Analysis(SNA) and Parallel Programming. We applied the Girvan-Newman algorithm to detect communities of users, and a future package to perform the parallelization. This approach not only tries to improve the accuracy of the system but also accelerates the execution time. To do our experiment, we used the MovieLense Dataset.

• Cartoon and Animation Studies
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• s.29
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• pp.129-149
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• 2012

The purpose of this study was to investigate the clustering and Big Five Personality domains in discriminating groups by level of school-related adjustment, as experienced by Social Sims game users. Social Games are based on web that has simple rules to play in fictional time and space background. This paper is to analyze the relationships between social networks and user behaviors through the social games . In general, characteristics of social games are simple, fun and easy to play, popular to the public, and based on personal connections in reality. These features of social games make themselves different from video games with one player or MMORPG with many unspecific players. Especially Social Game show a noticeable characteristic related to social learning. The object of this research is to provide a possibility that game that its social perspective can be strengthened in social game environment and analyze whether it actually influences on problem solving of real life problems, therefore suggesting its direction of alternative play means and positive simulation game. Data was collected by administering 4 questionnaires (the short version of BFI, Satisfaction with life, Career Decision-.Making Self-.Efficacy, Depression) to the participants who were 20 people in Seoul and Daejeon. For the purposes of the data analysis, both Stepwise Discriminant analysis and Cluster analysis was employed. Neuroticism, Openness, Conscientiousness within the Big Five Personality domains were seen to be significant variables when it came to discriminating the groups. These findings indicated that the short version of the BFI may be useful in understanding for game user behaviors When it comes to cultural research, digital game takes up a significant role. We can see that from the fact that game, which has only been considered as a leisure activity or commercial means, is being actively research for its methodological, social role and function. Among digital game's several meanings, one of the most noticeable ones is the research on its critical, social participating function. According to Jame Paul gee, the most important merit of game is 'projected identity'. This means that experiences from various perspectives is possible.[1] In his recent autobiography , he described gamer as an active problem solver. In addition, Gonzalo Francesca also suggested an alternative game developing method through 'game that conveys critical messages by strengthening critical reasons'. [2] They all provided evidences showing game can be a strong academic tool. Not only does a genre called social game exist in the field of media and Social Network Game, but there are also some efforts to positively evaluate its value Through these kinds of researches, we can study how game can give positive influence along with the change in its general perception, which would eventually lead to spreading healthy game culture and enabling fresh life experience. This would better bring out the educative side of the game and become a social communicative tool. The object of this game is to provide a possibility that the social aspect can be strengthened within the game environment and analyze whether it actually influences the problem solving of real life problems. Therefore suggesting it's direction of alternative play means positive game simulation.

• Korean Journal of Environment and Ecology
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• v.26 no.5
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• pp.741-757
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• 2012

This study had targeted the Seunghwanglim of Wonju in order to understand the forest vegetation's present condition. And then we compared the change in vegetation of Seunghwanglim for 24years. It was intended to provide basic data for conservation and management. Actual vegetation as a result of investigation, a total area of $56,231m^2$ Quercus serrata forest(7.02%), Acer triflorum forest(5.71%), and Deciduous Broad-Leaved Forest and Pinus densiflora forest(6.4%) were distributed variously. Present condition of the plains forest has 34 kinds of canopy species, 65 kinds of understory species, 70 species of shrubs species, 88 species of total species. And the plains forest has 500 individuals of canopy layer, 1,102 individuals of understory layer. Mean importance percentage of the major species showed Ulmus davidiana var. japonica(15.6%), Acer triflorum(15.2%), Pinus densiflora(11.1%), Quercus serrata(9.8%). Acer triflorum diameter at Ulmus davidiana var. japonica were a relatively wide range. Results of change for 24 years, vegetation of Seunghwanglim was changed from Quercus serrata-Acer triflorum to Ulmus davidiana var. japonica-Acer triflorum. Big trees over than DBH 30cm were surveyed total 18 species, 166 individuals. Increased over than the past 63 individuals. Seunghwanglim was destroyed by reckless past. Since 1990, the outer perimeter fence was installed to control human access. After that, understory layer and shrub layer were developed. And big tree was increased. Which is considered to restore damaged ecosystems. In order to conservation and protection of Seunghwanglim, people have to management and monitor about exotic species such as Robinia pseudo-acacia, Populus tomentiglandulosa, Castanea crenata, Pueraria lobata, etc.

• Korean Journal of Soil Science and Fertilizer
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• v.17 no.1
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• pp.12-17
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• 1984

In order to find out the effects of soil conditioner treatment on the water movement in sandy loam and silt loam soils were treated with two different kinds of soil conditioners, hydrophobic Bitumen 0.4% or hydrophillic Uresol 0.6%, and the changes of wetting angle (soil-water contact angle), penetrability and diffusivity were measured. The results were summarized as follows: 1. Uresol 0.6% treatment decreased the wetting angle of sandy loam more than $10^{\circ}$, but there was no big difference in silt loam. 2. Sandy loam soil was changed to almost hydrophobic and the wetting angle of silt loam soil was increased to $84.9^{\circ}$ as compared to $76.0^{\circ}$ of untreated soil by Bitumen 0.4% treatment. 3. By Uresol treatment, penetrability of sandy loam was doubled but there was not difference in silt loam, and it was decreased to half in two soils by Bitumen treatment. 4. A significant positive correlation between penetrability and the cosine of wetting angle was recognized. 5. Soil water diffusivity was greatly changed by soil conditioner treatment, and the big differences were appeared at lower soil moisture content.