• Journal of The Korean Association For Science Education
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• v.38 no.2
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• pp.219-234
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• 2018

In this study, we explored the possibility of automating the process of analyzing elements of scientific argument in the context of a Korean classroom. To gather training data, we collected 990 sentences from science education journals that illustrate the results of coding elements of argumentation according to Toulmin's argumentation structure framework. We extracted 483 sentences as a test data set from the transcription of students' discourse in scientific argumentation activities. The words and morphemes of each argument were analyzed using the Python 'KoNLPy' package and the 'Kkma' module for Korean Natural Language Processing. After constructing the 'argument-morpheme:class' matrix for 1,473 sentences, five machine learning techniques were applied to generate predictive models relating each sentences to the element of argument with which it corresponded. The accuracy of the predictive models was investigated by comparing them with the results of pre-coding by researchers and confirming the degree of agreement. The predictive model generated by the k-nearest neighbor algorithm (KNN) demonstrated the highest degree of agreement [54.04% (${\kappa}=0.22$)] when machine learning was performed with the consideration of morpheme of each sentence. The predictive model generated by the KNN exhibited higher agreement [55.07% (${\kappa}=0.24$)] when the coding results of the previous sentence were added to the prediction process. In addition, the results indicated importance of considering context of discourse by reflecting the codes of previous sentences to the analysis. The results have significance in that, it showed the possibility of automating the analysis of students' argumentation activities in Korean language by applying machine learning.

• Review of Culture and Economy
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• v.20 no.2
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• pp.19-45
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• 2017

This paper aims to apply our research and theorization on arts entrepreneurship to entrepreneurs active in the arts and cultural sector. Our goal is to develop proposals for practical actions that can support both arts entrepreneurs and supportive arts advocates. Using Action Research methodology, we hosted and facilitated two workshops with selected groups of arts entrepreneurs. Prior to the workshops we designed a questionnaire, based on the competency theory, to assess the qualities and characteristics of the participants. During the workshops we conducted surveys, interviews, and made observations in order to further understand the knowledge, experiences, motivations, capabilities, and attitudes necessary to successful arts entrepreneurship. We also conducted in-depth follow-up interviews with participants as a cross-check. We found that most of the participating arts entrepreneurs had a low understanding of the technology required for effective arts entrepreneurship, which has resulted in insufficient managerial support for artistic innovation. In addition, we found that participants lacked the skills and clear vision to construct a viable economic engine for their organization. Nevertheless, in light of the considerable strengths and high levels of enthusiasm and commitment participants evinced, we believe that their deficits can be corrected with education and training. Thus, we conclude by discussing the path forward and outlining a proposal to develop an innovative educational program on the daily operations of arts management that emphasizes applied technology and creating financial sustainability.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2004.11a
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• pp.73-80
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• 2004

Recently, many maritime accidents have been increased and the collisions due to human error are given a great deal of proportions out if them We develop the Real-time Collision Risk Monitoring System (CRMS) for the navigational officers to cope with the emergency situation promptly and thus to reduce the probability if casualty. In this study, the risk of collision is evaluated by two kinds if method. The first method is based on Fuzzy algorithm, which evaluates the risk of collision between traffic ships. The second method is based on Environmental Stress (ES) Model, where the total risk if collision is evaluated by the environmental stress felt by human. The developed real-time CRMS has been installed to the ship handling simulator system and its capabilities have been tested through simulator experiments.

• The KIPS Transactions:PartC
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• v.11C no.2
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• pp.253-262
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• 2004

In this paper, a session allocation algorithm for a switch with multiple shared links is proposed. The algorithm guarantees the reserved bandwidth to each service class and keeps the delay of sessions belonging to a service class as close as possible even if the sessionsare allocated to different shared links. To support these qualities of services, a new scheduling model for multiple shared links is defined and a session allocation algorithm to decide a shared link to be allocated to a new session on the connection establishmentis developed based on the model. The proposed heuristic algorithm allocates a session to a link including the subclass with the shortest (expected) delay that subclasses of the service class the session belongs to will experience. Simulation results verify that a switch with multiple shared links hiring the proposed algorithm provides service classes with fairer bandwidth allocation and higher throughput, and guarantees reserved bandwidth better than the switch hiring other session algorithms. It also guarantees very similarservice delay to the sessions in the same service class.

• Journal of Korean Library and Information Science Society
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• v.48 no.4
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• pp.351-374
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• 2017

In this study, we propose a model for constructing a producer-centered self-publishing repository for the personal digital records and three operational process for practical application of the operational model. 1) As essential requirements for constructing a DSpace-based self-publishing repository, we propose producer-centered service provision, management subject, operation and management plan, how to activate the repository of digital personal records producers, copyright issues, development and dissemination process. 2) The repository model constructs a producer-centered circular structure considering these requirements. 3) Through a repository model with multiple agencies, it provides various services such as content distribution, keyword search, usage statistics, recommendation system, and open access to portal users and electronic publishers as well as individual users.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.3
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• pp.621-629
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• 2016

This paper presents a decision method of middle ear disease which is developed in children and adults. In the proposed method, features are extracted from the middle ear disease images and normal images using HoG (histogram of oriented gradient) descriptor and the extracted features are learned by SVM (support vector machine) classifier. To obtain an input vector into SVM, an input image is resized to a predefined size and then the resized image is partitioned into 16 blocks each of which is partitioned into 4 sub-blocks (namely cell). Finally, the feature vector with 576 components is given by using HoG with 9 bins and it is used as SVM learning and classification. Input images are classified by SVM classifier based on the model of learning features. Experimental results show that the proposed method yields the precision of over 90% in decision.

• The Journal of Korean Association of Computer Education
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• v.17 no.4
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• pp.45-57
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• 2014

Many studies on algorithm judging system which verifies the correctness and the time efficiency of your program have been underway recently, most of which are on an online judging system focused on programming contests. However this study is mainly about development and application of the judging system based on client-server. Especially, we designed to promote metacognition and motivation which are emphasized in CRESST model, and implemented the total system that consists of the problem, data set, validation program, and user service environments. We applied our system to elementary, middle, and high school students, and We noticed a significant difference of average score between the experimental and control group in posttest and concluded that the teaching method using our system gave the bigger positive effects on programming learning.

• Journal of Internet Computing and Services
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• v.5 no.3
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• pp.1-9
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• 2004

The growth of Internet is the main factor that activates the Digital Contents Market and gives the convenience, efficiency and usefulness to the users. However the Digital Contents Market could be shrunk by an illegal reprinting and imprudent using. As a result, recently we can see that using the contents illegally through Internet makes the troubles between providers and customers and finally they are at law. Therefore we urgently need a new technology which can prevent the contents from illegal using, illegal reprinting and imprudent using, We developed the system prohibits a imprudent using in order to activate the Digital Contents Market, We developed the system protects the contents safely by removing the dangerous for the illegal reprinting with providing the encoded contents and the system removes the contents according to the number of usage and the user authentication through network.

• Journal of Korea Game Society
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• v.18 no.4
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• pp.43-52
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• 2018

This study was developed as a mobile serious game app (Roly Poly 160 App) based on a prototype model and then used in a public health center for diabetes patients. The mobile serious game application upgraded the mobile version of Roly Poly 160, which is a content for diabetes self-management of the existing PC version, by requesting to charge service of G city. The study period was from February 19, 2018 to May 11, 2018, and users were allowed to access the Roly Poly 160 app at least once a day for a total of 8 to 12 weeks after the preliminary investigation. As a result, HbA1C was significantly decreased(p=0.04), and diabetic knowledge was significantly higher than that before the follow-up(p=0.01). After applying Roly Poly 160 App, Satisfaction score was 3.74 out of 5 points

• The Korean Journal of Applied Statistics
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• v.18 no.1
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• pp.1-13
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• 2005

Latent Class model has been considered recently by many researchers and practitioners as a tool for identifying heterogeneous segments or groups in a population, and grouping objects into the segments. In this paper we consider data on prostate cancer patients from Korean National Cancer Institute and propose a method for grouping prostate cancer patients by using latent class Poisson model. A Bayesian approach equipped with a Markov chain Monte Carlo method is used to overcome the limit of classical likelihood approaches. Advantages of the proposed Bayesian method are easy estimation of parameters with their standard errors, segmentation of objects into groups, and provision of uncertainty measures for the segmentation. In addition, we provide a method to determine an appropriate number of segments for the given data so that the method automatically chooses the number of segments and partitions objects into heterogeneous segments.