• 한국전자거래학회지
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• 제6권3호
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• pp.81-99
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• 2001

The world is now meeting the era of e-commerce by development of information technology and the fast increase of use of internet. So, Korean government prepared "the colligation plan for electronic commerce activating" and WTO decides to prolong no custom on e-commerce till November 2001 when the fourth WTO Ministerial Conference holds a meeting. OECD discussed the construction of intellectual property rights of the global dimension at the Global Forum on January 2001 and reached to research the social influence of B-to-B e-commerce and to pursue the acceleration of e-commerce. UNCITRAL(United Nations Commission on International Trade Law) enacted UNCITRAL Model Law on Electronic Commerce in order to activate e-commerce, and Bolero.net serves electronic Bill of Lading to facilitate cyber trading. The purpose of this paper is to present the direction of confrontation to the these internal and external changes of business environment to Korean enterprises. Off-line enterprises should move fast to e-commerce on the condition that the existing trading at the original markets runs parallel with e-commerce. n needed, off-line enterprises should consider M&A with existing on-line firms. Also, off-line firms make use of Bolero system so that they can carry through paperless trade which means the achievement of efficiency in trading, On-line enterprises should advertise in the form of banner by combination of push and pull styles. B-to-B e-commerce firms should not depend on only the commissions, but they should create characteristic earnings by their peculiar services.

• 품질경영학회지
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• 제29권2호
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• pp.54-75
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• 2001

The tremendous growth of the Internet, particularly World Wide Web, has resulted in significant changes in commerce environments. Internet has brought significant changes in the economics of marketing channels and has led to a redefinition of industry value chain. Electronic Commerce(EC) has become so important that countries and firms unprepared for this new trend would lose competitive advantages in the coming century of Digital Economy. Despite its importance, current EC markets in Korea are immature and there still exist several barriers to EC development thus excluding business to consumer EC markets. As interest in quality management and its effect on competitive performance has grown, there has been a corresponding proliferation of research. However, the majority of the research on quality management has not evolved in a comprehensive and rigorous fashion, particularly with regard to reliability and validity issues. The purpose of this paper investigates on Vitalization of the Activities of on-line shopping mall under of TQM system in Korea. That would make it possible to remove elements of insecurity and doubt currently felt by many users of on-line shopping mall(internet detail or cyber mall) business. In addition, we tried to find out what factors discourage consumers from using electronic purchasing methods, as well as how perceived quality factors and customer satisfaction when consumers are exposed to the purchase process on the on-line shopping mall business.

• 생물환경조절학회지
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• 제20권1호
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• pp.14-20
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• 2011

지역별로 자생하고 있는 백리향 지상부의 휘발성 향기 성분 및 방부성 물질인 phenols의 성분을 조사하기 위해 제주도 고산종, 제주도 중간산종, 경기도, 울릉도, 강원도 서식종을 TD-GC-MSD로 분석한 결과 제주도 중간산종에서 상대적으로 높은 62종의 물질이 조사되었으며 함량도 $7365.22{\mu}g/m^3$으로 높은 농도를 나타냈다. 또한 백리향의 휘발성 향기성분 중 제주도 중간산종이 다른 조사지역보다 상대적으로 thymol과 carvacrol의 phenol성 물질이 다른 휘발성분에 비해 35.92%로 높은 결과를 보였다.

• 한국의류산업학회지
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• 제16권1호
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• pp.13-25
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• 2014

The purpose of this study is to investigate the concept and characteristics of 'grotesque,' examine the aesthetic characteristics of grotesque reflected in arts and dress, and modern fashion. The findings are as follows: 1) Grotesque indicates unnatural, unpleasant, and exaggerated that it upsets or shocks person. The characteristics of grotesque include terror, abnormality, unreality, amusement, disgust. 2) The grotesque art represented terror, abnormality, unreality, amusement, disgust by disordered form, nonnatural things, evil world, unorthodox methods, unrealistic image, strange dreamland. 3) The grotesque dress represented terror, abnormality, unreality, amusement, disgust by exaggerated silhouette, exaggerated adornment, excessive decoration, incroyables, using exaggerated silhouette, crinoline silhouette, bustle silhouette, surrealist style, extraordinary materials, glam rock style, unique silhouette, cyber look. 3) Terror was implied in the punk look suits of Junya Watanabe, and exaggerated outers of Viktor & Rolf. Abnormality was shown in the atypical suit of John Galliano, Junya Watanabe's dress decorated with the extreme ruff, Thom Browne's suit of abnormal proportion. Unreality was reflected in the architectural dress of Gareth Pugh, Mermaid dress of Giles, the surreal suit of Jean-Charles de Castelbajac. Amusement was represented in the amusing suit of Gareth Pugh, John Galliano's dress of sexual perversion. Disgust was reflected in the decadent dress of Thierry Mugler, Undercove's suit, and the ensemble of shocking details.

• Journal of Computing Science and Engineering
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• 제9권3호
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• pp.155-162
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• 2015

The last decade has seen a rapid growth in the use of mobile devices all over the world. With an increasing use of mobile devices, mobile applications are becoming more diverse and complex, demanding more computational resources. However, mobile devices are typically resource-limited (i.e., a slower-speed CPU, a smaller memory) due to a variety of reasons. Mobile users will be capable of running applications with heavy computation if they can offload some of their computations to other places, such as a desktop or server machines. However, mobile users are typically subject to dynamically changing network environments, particularly, due to user mobility. This makes it hard to choose good offloading decisions in mobile environments. In general, users' mobility can provide some hints for upcoming changes to network environments. Motivated by this, we propose a mobility model of each individual user taking advantage of the regularity of his/her mobility pattern, and develop an offloading decision-making technique based on the mobility model. We evaluate our technique through trace-based simulation with real log data traces from 14 Android users. Our evaluation results show that the proposed technique can help boost the performance of mobile devices in terms of response time and energy consumption, when users are highly mobile.

• 한국콘텐츠학회논문지
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• 제8권1호
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• pp.308-317
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• 2008

실시간으로 렌더링 되는 인터렉티브한 3D 가상공간에서 객체들은 일정한 조건을 고려한 이 벤트 발생에 따라 상호작용이 가능하다. 그러나 이러한 상호작용의 행동 표현을 위해서는 이벤트의 조건과 행동 패턴들이 거의 일대일 대응되어야 한다. 이는 미리 규정한 패턴 수가 미흡할 때 사실적인 행동을 하지 못하며 다양한 행동패턴의 표현을 위해서는 그 만큼 고려되어야하는 이벤트의 조건이 늘어나게 되므로 전체 시스템의 복잡도를 증가시키는 문제점을 야기한다. 따라서 본 논문에서는 탄성 모멘텀을 이용한 물리학적 접근 방법을 적용하고 가변형 다중 센서를 이용하여 Artificial Fish의 움직임을 보다 사실적으로 표현할 수 있고 하나의 회피 이벤트에 대해 다양한 행동 패턴 생성이 가능한 새로운 방법을 제시한다.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2004년도 춘계학술대회 논문집
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• pp.365-370
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• 2004

At the present, e-commerce takes the place of existing transaction form in structure in the world trade by advancement of Information Technology and diffusion of Internet. There is no exceptions of this tendency even in industry of maritime and logistics. So, global shipping lines and logistics companies try to construct the e-Business network system for increasing their competitiveness in an are of cyber. However, in Korea, most of companies prefer "final handshake" as the traditional way of transaction to "e-commerce", because they bear a distrust in mind about the outflow of transaction information and security of settlement. So, number of companies using e-commerce is very small, and this situation causes the limited factor for activating the transaction structure of it. The rate of using e-commerce in logistics industry is lower than other industries, even more higher effectiveness is expected when they use it. Especially, it is very necessary not only e-commerce but also e-Logistics which can serve information of freight cost on cargo flow, operation cost and schedule, and tracing information of cargo. Increasing the necessity of e-Logistics, this study research the rate rf using e-Logistics focused on maritime and logistics companies, and analyze the transaction form among members of these industries for improving them. In detail, this paper examine the drivers for activating e-Logistics, and present the effective factors for a successful development of these industries.

• ETRI Journal
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• 제25권5호
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• pp.401-406
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• 2003

A biometric system determines the identity of a person by measuring physical features that can distinguish that person from others. Since biometric features have many variations and can be easily corrupted by noises and deformations, it is necessary to apply machine learning techniques to treat the data. When applying the conventional machine learning methods in designing a specific biometric system, however, one first runs into the difficulty of collecting sufficient data for each person to be registered to the system. In addition, there can be an almost infinite number of variations of non-registered data. Therefore, it is difficult to analyze and predict the distributional properties of real data that are essential for the system to deal with in practical applications. These difficulties require a new framework of identification and verification that is appropriate and efficient for the specific situations of biometric systems. As a preliminary solution, this paper proposes a simple but theoretically well-defined method based on a statistical test theory. Our computational experiments on real-world data show that the proposed method has potential for coping with the actual difficulties in biometrics.

• ETRI Journal
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• 제39권3호
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• pp.406-416
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• 2017

Malware propagated via the World Wide Web is one of the most dangerous tools in the realm of cyber-attacks. Its methodologies are effective, relatively easy to use, and are developing constantly in an unexpected manner. As a result, rapidly detecting malware propagation websites from a myriad of webpages is a difficult task. In this paper, we present LoGos, an automated high-interaction dynamic analyzer optimized for a browser-based Windows virtual machine environment. LoGos utilizes Internet Explorer injection and API hooks, and scrutinizes malicious behaviors such as new network connections, unused open ports, registry modifications, and file creation. Based on the obtained results, LoGos can determine the maliciousness level. This model forms a very lightweight system. Thus, it is approximately 10 to 18 times faster than systems proposed in previous work. In addition, it provides high detection rates that are equal to those of state-of-the-art tools. LoGos is a closed tool that can detect an extensive array of malicious webpages. We prove the efficiency and effectiveness of the tool by analyzing almost 0.36 M domains and 3.2 M webpages on a daily basis.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권10호
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• pp.5143-5158
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• 2018

Improving the intrusion detection system (IDS) is a pressing need for cyber security world. With the growth of computer networks, there are constantly daily new attacks. Machine Learning (ML) is one of the most important fields which have great contribution to address the intrusion detection issues. One of these issues relates to the imbalance of the diverse classes of network traffic. Accuracy paradox is a result of training ML algorithm with imbalanced classes. Most of the previous efforts concern improving the overall accuracy of these models which is truly important. However, even they improved the total accuracy of the system; it fell in the accuracy paradox. The seriousness of the threat caused by the minor classes and the pitfalls of the previous efforts to address this issue is the motive for this work. In this paper, we consolidated stratified sampling, cost function and weighted Support Vector Machine (WSVM) method to address the accuracy paradox of ID problem. This model achieved good results of total accuracy and superior results in the small classes like the User-To-Remote and Remote-To-Local attacks using the improved version of the benchmark dataset KDDCup99 which is called NSL-KDD.