• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.263-271
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• 2016

Software requirement analysis is necessary for successful software development project. Specially, incomplete requirement is the most influential causes of software project failure. Incomplete requirement can bring late delay and over budget because of the misunderstanding and ambiguous criteria for project validation. Software requirement patterns can help writing more complete requirement. These can be a reference model and standards when author writing or validating software requirement. Furthermore, when a novice writes the software scenario, the requirement patterns can be one of the guideline. In this paper proposes an automatic approach to identifying software scenario patterns from various software scenarios. In this paper, we gathered 83 scenarios from eight industrial systems, and show how to extract 54 scenario patterns and how to find omitted action of the scenario using extracted patterns for the feasibility of the approach.

• Journal of The Korean Association For Science Education
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• v.13 no.3
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• pp.366-376
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• 1993

In this study, a part of high school science instructional materials is evaluated by Instructional Quality Profile(IQP) based on the Merrill's Component Display Theory(CDT). The CDT is based on the Gagne's assumption of different conditions of learning for different outcomes. The IQP enables the user to check both the consistency and adequacy of existing cognitive instruction. The IQP can be used to predict student performance, and also to design and develop new instructional materials. The instructional components are classified according to 5 task levels; An Use-Generalities on Newly Encountered Examples(UGeg), A Remember-Paraphrased-Generalities(RpG), A Remember-Verbatim-Generalities(RvG), A Remember-Paraphrased-Examples (Rpeg). A Remember-Verbatim-Examples (Rveg). The analyses are composed of 3 parts; Justifying the task level of objectives, Objective-test consistency, and Test-presentation consistency. The objectives, the presentations and the tests given in a teacher's guide and a textbook are analyzed. The results show that the task levels and the content levels of the objectives are not consistent with those of the tests. And the indices of the test-presentation consistency indicate the presentation problems of the instructional materials.

• Journal of the Korean School Mathematics Society
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• v.14 no.1
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• pp.1-29
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• 2011

In this study, we designed and constructed a very low-cost electronic board in order to test its efficiency in the classroom as well as provide an easy-to-follow model for front-line teachers to re-create and utilize for their own academic use. For our sample size, we tested 143 high school first grade students. In mathematical achievement, we found meaningful improvement in both genders but we did not find any meaningful gender differences. In the mathematical disposition test, we also found some meaningful changes in curiosity and flexibility in both genders but did not find any meaningful gender differences either. Based on this study, we propose using our low-cost electronic board system, which is easy to make and effective in mathematical achievement, instead of recently promoted high-cost electronic board systems.

• Journal of Korean Library and Information Science Society
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• v.6
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• pp.53-103
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• 1979

Kyujang-gak was an institution established by the King Jungjo's order to enshrine and edit the royal writings and autographs, and to help the revival of learning with more active services in collection, control, and use of the important materials. Furthermore, it was aimed in its establishment to promote the settlement of an innovative and ideal Royal Regime. In this paper, the Outer Kyujang-gak(外奎章閣) of Kangwha Magistracy(江華府), which was one of the lower branches of the Kyujanggak(奎章閣), will be treated, especially about its details of establishment, location, functions, the characteristics and value of its collection. After the Japanese invasion of Korea in 1592, the Historical Deposit Library(史庫) was established at the Kangwha Magistracy to take custody of the royal writings and autographs. An Annex(別庫) was built near by the Historical Deposit Library to enlarge the space in the reign of the King Hyojong. These spaces, however, become insufficient as the amount of materials deposited expanded, and custody for them was also not successful. Therefore, at the April of the 6th year of the King Jungjo's rule, the Outer Kyujang-gak was built at the east of the Temporary Palace(行宮) within Kangwha Magistracy, where the royal materials were deposited. This Outer Kynjang-gak was also called 'Kangdo Oe-gak(江都外閣)', 'Kyujang Oe-gak(奎章外閣)' or 'Simdo Oe-gak(心都外閣)', and its major function was to take custody of the materials and to hand them down to the next generations forever. The Kandwha Magistrate(江華留守) was responsible for the management of the Outer Kyujang-gak. Regular events for the book keeping were enshrinement, inventory and airing. In the 6th year in the reign of the King Jungjo, 4,892 volumes consisting of 762 titles were moved here from the Bon-gmodang(奉謨堂), the Seoseo(西序) in Main Palace, the Annex(別庫), the Deposit Library(史庫) mentioned above, the Kaegsa(客舍) and Chaeg-go(冊庫) within Kangwha Magistracy. By the end of the Joseon Dynasty, through fourteen times of addition altogether, the number of collection enshrined here reached 6,400 volumes consisting of 1,212 titles. The significance of this Outer Kyujang-gak established at the Kangwha Magistracy is in the point that this was one of the most important deopsit libraries of the Joseon Dynasty.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.4
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• pp.1644-1651
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• 2013

The purpose of this study was to investigate the influence of distance education experience using users' avatars in virtual reality space on their teaching efficacy belief. There were 9 participants who were enrolled in a course in doctoral program of education department in J University for the study. The first class of six sessions was face to face class on how to use Second Life and the 14 classes of 3 sessions were done in a classroom of Second Life. According to the analysis of reflection notes, interviews, researcher's observations of 5 participants, their experiences of presentation and taking classes in distance education using their own avatars in Second Life had positive influence on participants' teaching efficacy belief in their future working for distance education using avatars of Second Life. The implication of this study is to show some conditions for successful distance education as well as to see the potential of distance education in 3D virtual reality space using avatars. This study will contribute to promote the future study in distance education field.

• Journal of Engineering Education Research
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• v.6 no.1
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• pp.15-21
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• 2003

This paper reports the results of course restructuring employing design projects in an introductory mechanics of materials course at Pennsylvania State University. Unlike traditional lecture courses, students were encouraged to learn the rudiments of mechanical design and how materials standards, economics, manufacturing, environmental, legal (liability) and societal (safety) concerns relate to design. Through conducting collaborative design projects, the instructors helped students to acquire more advanced skills such as team-based decision making, integration and establishment of criteria, use of modern design theory, consideration of alternative solutions, and application of realistic constraints. In order to examine the impact of new course changes on students' learning, a survey was conducted in 1998 Fall semester. According to the results of survey analyses, students reported high values on this introductory mechanics of materials course. However, they did not give high values on the design projects. Rather, they preferred lecture sessions. Additionally, it was also found that students who earned higher grades from a prerequisite course(statics) showed lower values on the design projects. Implications for engineering educators and suggestions for future research studies were discussed.

• Journal of KIISE:Computing Practices and Letters
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• v.7 no.6
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• pp.684-695
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• 2001

Recent recommender system uses a method of combining collaborative filtering system and content based filtering system in order to solve sparsity and first rater problem in collaborative filtering system. Collaborative filtering systems use a database about user preferences to predict additional topics. Content based filtering systems provide recommendations by matching user interests with topic attributes. In this paper, we describe a method for discovery of user preference through combining two techniques for recommendation that allows the application of machine learning algorithm. The proposed collaborative filtering method clusters user using genetic algorithm based on items categorized by Naive Bayes classifier and the content based filtering method builds user profile through extracting user interest using relevance feedback. We evaluate our method on a large database of user ratings for web document and it significantly outperforms previously proposed methods.

• School Mathematics
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• v.7 no.4
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• pp.403-425
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• 2005

The study aims to get real picture of primary mathematics education based on RME in the Netherlands focusing on number and operations strand by reflecting and analyzing the documents in relation to the primary school mathematics curriculum. In order to attain these purposes, the present paper describes the core goals for mathematics education, Dutch Pluspunt textbook series for the primary school, and a learning-teaching trajectory by TAL project which are determinants of the Dutch primary school mathematics curriculum. Under these reflections on the documents, it is analyzed what is the characteristics of number and operations strand in the Nether-lands as follows: counting numbers, contextualization, positioning, structuring, progressive algoritmization based on levels, estimation and insightful use of a calculator. Finally, discussing Points for improving our primary mathematics curriculum and textbook series development are described.

• Journal of the Institute of Convergence Signal Processing
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• v.20 no.2
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• pp.78-83
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• 2019

Sounds based machine fault diagnosis recovers all the studies that aim to detect automatically abnormal sound on machines using the acoustic emission by these machines. Conventional methods that use mathematical models have been found inaccurate because of the complexity of the industry machinery systems and the obvious existence of nonlinear factors such as noises. Therefore, any fault diagnosis issue can be treated as a pattern recognition problem. We propose here an automatic fault diagnosis method of hand drills using discrete wavelet transform(DWT) and pattern recognition techniques such as artificial neural networks(ANN). We first conduct a filtering analysis based on DWT. The power spectral density(PSD) is performed on the wavelet subband except for the highest and lowest low frequency subband. The PSD of the wavelet coefficients are extracted as our features for classifier based on ANN the pattern recognition part. The results show that the proposed method can be effectively used not only to detect defects but also to various automatic diagnosis system based on sound.

• KIPS Transactions on Software and Data Engineering
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• v.7 no.2
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• pp.69-76
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• 2018

Referring expressions are natural language constructions used to identify particular objects within a scene. In this paper, we propose a new deep neural network model for referring expression comprehension. The proposed model finds out the region of the referred object in the given image by making use of the rich information about the referred object itself, the context object, and the relationship with the context object mentioned in the referring expression. In the proposed model, the object matching score and the relationship matching score are combined to compute the fitness score of each candidate region according to the structure of the referring expression sentence. Therefore, the proposed model consists of four different sub-networks: Language Representation Network(LRN), Object Matching Network (OMN), Relationship Matching Network(RMN), and Weighted Composition Network(WCN). We demonstrate that our model achieves state-of-the-art results for comprehension on three referring expression datasets.