• Title/Summary/Keyword: 온라인 등록 시스템

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An Anonymous Rights Trading System using group signature schemes (그룹서명을 이용하여 익명성이 보장되는 디지털 권한 전달 시스템)

  • 주학수;김대엽;이동훈
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.14 no.1
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    • pp.3-13
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    • 2004
  • E-Commerce is suddenly spreading in a daily life. A rights trading system is a system that circulates digital-tickets such as plane tickets, software license, coupon. There are two main approaches so far account-based and smart-card based systems. The NTT Proposed FlexToken, a new smart card based copy prevention scheme for digital rights. They Proposed using pseudonymous self certified keys of Petersen and Horster in order to ensure anonymity of users. However. Petersen and Holster's scheme should register a pseudonymous key pair at TTP (One-time) every time so that users create the signature which is satisfied with unlinkability property In this paper, we propose a new anonymous rights trading system using group signature. This paper has a meaning having applied to digital rights trading system an efficient smart card based group signature.

A Study on Similar Trademark Search Model Using Convolutional Neural Networks (합성곱 신경망(Convolutional Neural Network)을 활용한 지능형 유사상표 검색 모형 개발)

  • Yoon, Jae-Woong;Lee, Suk-Jun;Song, Chil-Yong;Kim, Yeon-Sik;Jung, Mi-Young;Jeong, Sang-Il
    • Management & Information Systems Review
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    • v.38 no.3
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    • pp.55-80
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    • 2019
  • Recently, many companies improving their management performance by building a powerful brand value which is recognized for trademark rights. However, as growing up the size of online commerce market, the infringement of trademark rights is increasing. According to various studies and reports, cases of foreign and domestic companies infringing on their trademark rights are increased. As the manpower and the cost required for the protection of trademark are enormous, small and medium enterprises(SMEs) could not conduct preliminary investigations to protect their trademark rights. Besides, due to the trademark image search service does not exist, many domestic companies have a problem that investigating huge amounts of trademarks manually when conducting preliminary investigations to protect their rights of trademark. Therefore, we develop an intelligent similar trademark search model to reduce the manpower and cost for preliminary investigation. To measure the performance of the model which is developed in this study, test data selected by intellectual property experts was used, and the performance of ResNet V1 101 was the highest. The significance of this study is as follows. The experimental results empirically demonstrate that the image classification algorithm shows high performance not only object recognition but also image retrieval. Since the model that developed in this study was learned through actual trademark image data, it is expected that it can be applied in the real industrial environment.

A Study On Efficient Method of Management for Examination Questions in Virtual Education System (가상학습 시스템의 평가 문제에 대한 효율적인 관리 방법에 대한 연구)

  • Ryu, Hee-Yeoul;Kim, Eun-Jung
    • Proceedings of the Korea Information Processing Society Conference
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    • 2005.05a
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    • pp.1039-1042
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    • 2005
  • 가상학습 시스템에서의 효율적인 평가를 위해 문제 출제 방법 및 문제의 난이도 재조정에 대한 연구가 많이 이루어지고 있다. 온라인상에서의 학습은 학습자 스스로 자신의 학업 성취도에 대한 올바른 진단을 함으로써 다음의 학습 진도 및 방향을 스스로 판단해야 하기 때문에 평가 방법 및 평가 문제가 무엇보다 중요하다고 할 수 있다. 따라서 문제 은행에 문제를 등록하는 시점에서 출제자의 주관적인 판단에 의해 부여되는 문제 난이도의 객관성 입증과 학습자의 학업 성취도를 출제 문제에 반영하는 방법으로서 평가 결과에 따른 문제의 난이도 재조정으로 인한 출제 문제의 신뢰성이 아주 중요한 문제라고 할 수 있다. 이에 본 논문에서는 초기 문제 난이도에 대한 객관성을 최대한 높임과 동시에 보다 실질적인 평가를 위한 문제 출제 방법과 보다 신뢰할 수 있는 학업 성취도를 출제 문제에 반영하는 난이도 재조정 방법을 적용함으로써 보다 효율적이고 객관적으로 문제은행의 문제를 관리할 수 있는 방법을 제시한다.

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A Design of Internet-Based Safety Guarantee Global Integrated Logistics Management System Framework (인터넷 기반의 안전보장 글로벌 통합물류관리시스템 프레임워크 설계)

  • Hong, Ho-Seon;Hong, Ki-Sung;Lee, Chulung
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.5
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    • pp.103-111
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    • 2013
  • This paper provide a framework for an IGILMS(internet-based global integrated logistics management system) which can access and mediate cargo transportations among small- and medium-sized domestic/international logistics corporations as regards cargo, registration and search for space, public tender and negotiation, contract, payment and safety-guarantee, transportation through the internet, wireless communication means, or smart phone etc. In addition, we describe a model to provide customized services in the B2B e-market for IGILMS and the structure and the control of its fulfillment process, and provide technical architecture of the IGILMS for an internet-based global logistics management system. To validate an efficiency of the proposed system, we develop a simulation model and analyze the performance of the proposed system.

Development of an AI Analysis Service System based on OpenFaaS (OpenFaaS 기반 AI 분석 서비스 시스템 구축)

  • Jang, Rae-young;Lee, Ryong;Park, Min-woo;Lee, Sang-hwan
    • The Journal of the Korea Contents Association
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    • v.20 no.7
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    • pp.97-106
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    • 2020
  • Due to the rapid development and dissemination of 5G communication and IoT technologies, there are increasing demands for big data analysis techniques and service systems. In particular, explosively growing demands on AI technology adoption are also causing high competitions to take advantages of machine/deep-learning models to extract novel values from enormously collected data. In order to adopt AI technology to various research and application domains, it is necessary to prepare high-performance GPU-equipped systems and perform complicated settings to utilze deep learning models. To relieve the efforts and lower the barrier to utilize AI techniques, AIaaS(AI as a service) platform is attracting a great deal of attention as a promising on-line service, where the complexity of preparation and operation can be hidden behind the cloud side and service developers only need to utilize the high-level AI services easily. In this paper, we propose an AIaaS system which can support the creation of AI services based on Docker and OpenFaaS from the registration of models to the on-line operation. We also describe a case study to show how AI services can be easily generated by the proposed system.

Development of Dynamic Scheduling Platform using VR Content Authoring (VR 콘텐츠 저작을 이용한 동적 스케줄링 플랫폼 개발)

  • Young-Sik, Lee;Duk-Hee, Lee;Chul-Jae, Choi
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.6
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    • pp.1187-1192
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    • 2022
  • Gangwon-do is a representative leisure resort. However, the provision of tourism information has not escaped the existing image- and text-oriented simplicity. Therefore, a linkage strategy for the content business is needed to revitalize tourist attractions. In this paper, first, we provide a 360-degree rotating VR content authoring function. Second, we propose a dynamic platform including a function that allows users to easily author tour scheduling after registering VR content on a map. Finally, the proposal system provides pre-tourism customers with an opportunity to increase satisfaction by providing online pre-experience.

A Study on the Effect of O2O Service Quality on User Satisfaction and Intention of Reuse (O2O서비스 품질이 사용자만족과 재이용의도에 미치는 영향에 관한연구)

  • Lee, Ok Ju;Yang, Dong Woo
    • Journal of Digital Convergence
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    • v.15 no.6
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    • pp.165-178
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    • 2017
  • O2O platforms are developing in a business area of daily life with evolution of IT technology. The aim of this research is to identify any quality factor of online and offline which affects the satisfaction of O2O service by business characteristic and to varify the relationship between service satisfaction and reuse intention. In this study, information quality, system quality and service quality are defined as factors for online quality and perceived quality and perceived price defined as offline quality. This study was conducted on 199 users who use O2O service. The results showed that online quality system and perceived price of offline quality had a positive effect on user satisfaction and that user satisfaction had a positive effect on Intention to Reuse. These results will provide guidelines for O2O service providers to improve their online services and to select an offline vendor for the O2O platform. It would provide customized O2O service according to personal property of a customer, in case that further research by types of business or service, which are not covered this paper.

TRIB : A Clustering and Visualization System for Responding Comments on Blogs (TRIB: 블로그 댓글 분류 및 시각화 시스템)

  • Lee, Yun-Jung;Ji, Jung-Hoon;Woo, Gyun;Cho, Hwan-Gue
    • The KIPS Transactions:PartD
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    • v.16D no.5
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    • pp.817-824
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    • 2009
  • In recent years, Weblog has become the most typical social media for citizens to share their opinions. And, many Weblogs reflect several social issues. There are many internet users who actively express their opinions for internet news or Weblog articles through the replying comments on online community. Hence, we can easily find internet blogs including more than 10 thousand replying comments. It is hard to search and explore useful messages on weblogs since most of weblog systems show articles and their comments to the form of sequential list. In this paper, we propose a visualizing and clustering system called TRIB (Telescope for Responding comments for Internet Blog) for a large set of responding comments for a Weblog article. TRIB clusters and visualizes the replying comments considering their contents using pre-defined user dictionary. Also, TRIB provides various personalized views considering the interests of users. To show the usefulness of TRIB, we conducted some experiments, concerning the clustering and visualizing capabilities of TRIB, with articles that have more than 1,000 comments.

Techniques for Classifying and Specificatying Components based on Six Views (6 View기반 컴포넌트 분류 및 명세 기법)

  • Cho, Eun-Sook;Lee, Jong-Kook;Kim, Soo-Dong
    • Journal of KIISE:Software and Applications
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    • v.29 no.7
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    • pp.487-497
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    • 2002
  • As component-based reuse technology is being introduced, software components are more likely distributed on Internet. In order to promote Internet based on-line distribution, distribution model of components should be defined and a distribution system should also be constructed. Furthermore, to run the component distribution system effectively, a logical and practical schema for classifying components should be defined and standardized. In this paper, we propose a classification schema using BNF and representation standards of components using six different views. To verity the effectiveness of proposed classification and compare to other classification methods, we assess proposed classification by measuring hit ratio and correctness. By using the proposed methods that support six views on components, the search for right components and registering new components can be done more effectively.

Participation Level in Online Knowledge Sharing: Behavioral Approach on Wikipedia (온라인 지식공유의 참여정도: 위키피디아에 대한 행태적 접근)

  • Park, Hyun Jung;Lee, Hong Joo;Kim, Jong Woo
    • Journal of Intelligence and Information Systems
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    • v.19 no.4
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    • pp.97-121
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    • 2013
  • With the growing importance of knowledge for sustainable competitive advantages and innovation in a volatile environment, many researches on knowledge sharing have been conducted. However, previous researches have mostly relied on the questionnaire survey which has inherent perceptive errors of respondents. The current research has drawn the relationship among primary participant behaviors towards the participation level in knowledge sharing, basically from online user behaviors on Wikipedia, a representative community for online knowledge collaboration. Without users' participation in knowledge sharing, knowledge collaboration for creating knowledge cannot be successful. By the way, the editing patterns of Wikipedia users are diverse, resulting in different revisiting periods for the same number of edits, and thus varying results of shared knowledge. Therefore, we illuminated the participation level of knowledge sharing from two different angles of number of edits and revisiting period. The behavioral dimensions affecting the level of participation in knowledge sharing includes the article talk for public discussion and user talk for private messaging, and community registration, which are observable on Wiki platform. Public discussion is being progressed on article talk pages arranged for exchanging ideas about each article topic. An article talk page is often divided into several sections which mainly address specific type of issues raised during the article development procedure. From the diverse opinions about the relatively trivial things such as what text, link, or images should be added or removed and how they should be restructured to the profound professional insights are shared, negotiated, and improved over the course of discussion. Wikipedia also provides personal user talk pages as a private messaging tool. On these pages, diverse personal messages such as casual greetings, stories about activities on Wikipedia, and ordinary affairs of life are exchanged. If anyone wants to communicate with another person, he or she visits the person's user talk page and leaves a message. Wikipedia articles are assessed according to seven quality grades, of which the featured article level is the highest. The dataset includes participants' behavioral data related with 2,978 articles, which have reached the featured article level, with editing histories of articles, their article talk histories, and user talk histories extracted from user talk pages for each article. The time period for analysis is from the initiation of articles until their promotion to the featured article level. The number of edits represents the total number of participation in the editing of an article, and the revisiting period is the time difference between the first and last edits. At first, the participation levels of each user category classified according to behavioral dimensions have been analyzed and compared. And then, robust regressions have been conducted on the relationships among independent variables reflecting the degree of behavioral characteristics and the dependent variable representing the participation level. Especially, through adopting a motivational theory adequate for online environment in setting up research hypotheses, this work suggests a theoretical framework for the participation level of online knowledge sharing. Consequently, this work reached the following practical behavioral results besides some theoretical implications. First, both public discussion and private messaging positively affect the participation level in knowledge sharing. Second, public discussion exerts greater influence than private messaging on the participation level. Third, a synergy effect of public discussion and private messaging on the number of edits was found, whereas a pretty weak negative interaction effect of them on the revisiting period was observed. Fourth, community registration has a significant impact on the revisiting period, whereas being insignificant on the number of edits. Fifth, when it comes to the relation generated from private messaging, the frequency or depth of relation is shown to be more critical than the scope of relation for the participation level.