• 컴퓨터교육학회논문지
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• 제16권4호
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• pp.13-21
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• 2013

최근 초등학생을 대상으로 다양한 교육용 프로그래밍 언어와 교수학습방법이 개발됨에 따라 교육현장에서 활발하게 프로그래밍 교육이 이루어지고 있다. 그러나 대부분의 프로그래밍 교육이 초등학교 고학년 학생을 대상으로 하고 있으며, 문제해결과정 보다 도구의 사용법에 중점을 두고 있어서 정보교육 전반에 활용되기에는 한계가 있다. 정보교육에서 프로그래밍 활동이 활발히 이루어지기 위해서는 학습대상을 넓히고 교육내용을 사고력 측면에서 고려할 필요성이 있다. 따라서 본 연구에서는 초등학교 저학년 학생도 쉽게 사용할 수 있는 프로그래밍 도구와 사고력 향상을 중심으로 하는 프로그래밍 과제를 제안하였다. 프로그래밍 도구는 텐지블 유저 인터페이스(Tangible User Interface, TUI)를 기반으로 초등학교 저학년 학생도 쉽게 사용할 수 있도록 하였으며, 프로그래밍 과제는 로봇을 활용하여 논리적 사고를 향상시키는 목적으로 개발하였다. 실험을 통해 텐지블 프로그래밍 도구가 초등학교 저학년도 쉽게 사용할 수 있는 도구적 사용성을 나타내었고, 개발한 과제 또한 논리사고력 향상에 효과가 있음을 보여주었다.

• Journal of Information Technology Applications and Management
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• 제30권1호
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• pp.115-126
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• 2023

In various fields such as art, design, music, film, sports, games, and fashion, NFTs (Non-Fungible Tokens) are creating new economic value through trading platforms dedicated to NFT art and content. In this article, I analyze the current state of blockchain technology and NFT art content in the context of an expanding market for blockchain-based NFT art content in the metaverse. I also propose several tasks based on the economic and industrial logic of technological innovation. The first task proposed is to integrate cultural arts on blockchain, metaverse, and NFT platforms through digital innovation, instead of separating or distinguishing between creative production and consumption. Before the COVID-19 pandemic, there was a clear separation between creators and consumers. However, with the rise of Web 3.0 platforms, any user can now create and own their own content. Therefore, it is important to promote a collaborative and integrated approach to cultural arts production and consumption in the blockchain and metaverse ecosystem. The second task proposed is to align the legal framework with blockchain-based technological innovation. The enactment and revision of relevant laws should focus on promoting the development of the NFT trading platform ecosystem, rather than merely regulating it for user protection. As blockchain-based technology continues to evolve, it is important that legal systems adapt to support and promote innovation in the space. This shift in focus can help create a more conducive environment for the growth of blockchain-based NFT platforms. The third task proposed is to integrate education on digital arts, including metaverse and NFT art contents, into the current curriculum. This education should focus on convergence and consilience, rather than merely mixing together humanities, technology, and arts. By integrating digital arts education into the curriculum, students can gain a more comprehensive understanding of the potential of blockchain-based technologies and NFT art. This article examines the digital technological innovation such as blockchain, metaverse, and NFT from an economic and industrial point of view. As a limitation of this research, the critical mind such as philosophical thinking or social criticism on technological innovation is left as a future task.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제2권3호
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• pp.204-209
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• 2002

The interest of data mining in artificial intelligence with fuzzy logic has been increased. Data mining is a process of extracting desirable knowledge and interesting pattern ken large data set. Because of expansion of WWW, web data is more and more huge. Besides mining web contents and web structures, another important task for web mining is web usage mining which mines web log data to discover user access pattern. The goal of web usage mining in this paper is to find interesting user pattern in the web with user feedback. It is very important to find user's characteristic fer e-business environment. In Customer Relationship Management, recommending product and sending e-mail to user by extracted users characteristics are needed. Using our method, we extract user profile from the result of web usage mining. In this research, we concentrate on finding association rules and verify validity of them. The proposed procedure can integrate fuzzy set concept and association rule. Fuzzy association rule uses given server log file and performs several preprocessing tasks. Extracted transaction files are used to find rules by fuzzy web usage mining. To verify the validity of user's feedback, the web log data from our laboratory web server.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.1587-1592
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• 2003

There are three kinds of singularity in controlling redundant manipulators. Kinematic, algorithmic and representation singularities are those. If manipulators fall into any singularity without proper action to avoid it, the control system must go away from our desire, and we can meet a dangerous situation. Hence, we have to deal the singularities very carefully. In this paper, we describe an on-line solution for avoiding the occurrence of both algorithmic and kinematic singularities in task-priority based kinematic controllers of robotic manipulators. Representation singularity can be easily avoided by using proper representation algorithm, so, in this paper, we only consider kinematic and algorithmic singularities. The proposed approach uses a desired task reconstruction and a successive task projection in order to maintain the measure for singularity over a user defined minimum value. It shows a gain in performance and a better task error especially when working in proximity of singular configurations. It is particularly suitable for autonomous systems where an off-line trajectory control scheme is often not applicable. The advantage and performance of the proposed controller is verified by simulation works. And, the experiment with real manipulator is remaining for the future works.

• 정보보호학회논문지
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• 제11권1호
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• pp.55-63
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• 2001

대형 기업들은 많은 수의 사용자와 정보객체들을 가지고 있으며 승인된 사용자만이 지정된 정보 객체를 접근할 수 있도록 접근을 제어하는 것이 중요한 과제로 대두되고 있다, 그러나 기존에 제시된 접근제어 모델들은 기업의 접근제어 요구사항을 충분히 만족시키지 못하고 있다. 본 논문은 기업환경에 적합한 접근제어 모델을 제안하는 것을 목표로 한다. 이를 위해 접근제어와 관련된 기업 환경의 특성에 대해 분석하였고 이를 바탕으로 과업-역할기반 접근제어(T-RBAC) 모델을 제안하였다. 이 모델은 과업 및 과업 분류에 기초하고 있으며, 과업이 속한 클래스의 특성에 따라 서로 다른 접근제어를 적용 할 수 있도록 하였다. 또한 권한관리를 용이하게 하기 위하여 감독-역할계층을 지원할 수 있도록 하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권4호
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• pp.1426-1447
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• 2021

The payoff game between task publishers and users in the mobile crowdsensing environment is a hot topic of research. A optimal payoff selection model based on stochastic evolutionary game is proposed. Firstly, the process of payoff optimization selection is modeled as a task publisher-user stochastic evolutionary game model. Secondly, the low-quality data is identified by the data quality evaluation algorithm, which improves the fitness of perceptual task matching target users, so that task publishers and users can obtain the optimal payoff at the current moment. Finally, by solving the stability strategy and analyzing the stability of the model, the optimal payoff strategy is obtained under different intensity of random interference and different initial state. The simulation results show that, in the aspect of data quality evaluation, compared with BP detection method and SVM detection method, the accuracy of anomaly data detection of the proposed model is improved by 8.1% and 0.5% respectively, and the accuracy of data classification is improved by 59.2% and 32.2% respectively. In the aspect of the optimal payoff strategy selection, it is verified that the proposed model can reasonably select the payoff strategy.

• 한국디자인학회:학술대회논문집
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• 한국디자인학회 1999년도 춘계 학술발표대회 논문집
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• pp.12-13
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• 1999

일관성을 평가하기 위한 모형들이 맡은 인터페이스 모델링 연구자들에 의해서 개발되어 왔다. Reisner (1981)의 GRAL(Grammatical Representation of Action language) 모형으로부터 시작된 일관성 평가 모형 개발은 TAG(Task Action Grammar; Payne and Green, 1986), APT(Agent Partitioning Theory: Reisner, 1993), PROCOPE(Poitrenaud, 1995) 모형으로 발전되었다.(중략)

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권11호
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• pp.5234-5251
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• 2018

It is well-known that virtualization technology can bring many benefits not only to users but also to service providers. From the view of system security and resource utility, higher resource sharing degree and higher system reliability can be obtained by the introduction of virtualization technology in distributed cloud. The small size time-sharing multiplexing technology which is based on virtual machine in distributed cloud platform can enhance the resource utilization effectively by server consolidation. In this paper, the concept of memory block and user satisfaction is redefined combined with user requirements. According to the unbalanced memory resource states and user preference requirements in multi-virtual machine environments, a model of proper memory resource allocation is proposed combined with memory block and user satisfaction, and at the same time a memory optimization allocation algorithm is proposed which is based on virtual memory block, makespan and user satisfaction under the premise of an orderly physical nodes states also. In the algorithm, a memory optimal problem can be transformed into a resource workload balance problem. All the virtual machine tasks are simulated in Cloudsim platform. And the experimental results show that the problem of virtual machine memory resource allocation can be solved flexibly and efficiently.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2001년도 추계학술대회 학술발표 논문집
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• pp.51-55
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• 2001

With the rapid growth of the World Wide Web and electronic information services, information is becoming available on-Line at an incredible rate. One result is the oft-decried information overload. No one has time to read everything, yet we often have to make critical decisions based on what we are able to assimilate. The technology of automatic text summarization is becoming indispensable for dealing with this problem. Text summarization is the process of distilling the most important information from a source to produce an abridged version for a particular user or task. Information retrieval(IR) is the task of searching a set of documents for some query-relevant documents. On the other hand, text summarization is considered to be the task of searching a document, a set of sentences, for some topic-relevant sentences. In this paper, we show that document information, that is more reliable and suitable for query, using document length normalization of which is gained through information retrieval . Experimental results of this system in newspaper articles show that document length normalization method superior to other methods use query itself.

• 한국정밀공학회지
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• 제8권4호
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• pp.84-94
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• 1991

In order to achieve high accuracy of teaching and increase productivity using industrial robots in polishing process of dies, an off-line task programming system was developed on IBM-PC/386 under WINDOWS 3.0 operating system. The internal structure and the machematical basis of CAMPoli are described. Surface modeling technique of polishing dies with sculptured surfaces is introduced by poing data interpolation methodology through the use of CL-data transmitted from conventional CAM system. Tool selection, polishing speed, polishing pressure and kinds of tool motions can be determined and selected by user specified polishing variables. Task creation and verification of polishing path via computer graphics simulation of polishing tool can be done by the menu- driven function of CAMPoli system. Post-processing module is attached to generate robot language. Some simulation results are provided as verification means of the system.