• Journal of The Korean Association of Information Education
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• v.20 no.4
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• pp.323-332
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• 2016

A robot's recognition and diagnosis of pronunciation and its speech are the most important interactions in RALL(Robot Assisted Language Learning). This study is to verify the effectiveness of robot TTS(Text to Sound) technology in assisting Korean English language learners to acquire a native-like accent by correcting the prosodic errors they commonly make. The child English language learners' F0 range and speaking rate in the 4th grade, a prosodic variable, will be measured and analyzed for any changes in accent. We compare whether robot with the currently available TTS technology appeared to be effective for the 4th graders and 1st graders who were not under the formal English learning with native speaker from the acoustic phonetic viewpoint. Two groups by repeating TTS of RALL responded to the speaking rate rather than F0 range.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.12
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• pp.3005-3012
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• 2014

Massive Open Online Courses(MOOC), originally started from United States, have recently received a great deal of attention all over the world. MOOC means free online courses that anyone can attend anytime. In Korea, KERIS(Korea Education and Research Information Service) and some universities provide various MOOC services. The purpose of this paper is to present current status and improvement suggestions of MOOC. We first introduce the formal definition and history of MOOC, then discuss current status of MOOC services in Korea and other countries. We finally present improvement suggestions that include induction of active participation for universities, value creation for campus, development of revenue model, providing motivation to students for finishing courses, development of LMS(Learning Management System), securing well-trained lecturers, translation of lecture materials, ensuring quality of authentification system of MOOC services.

• Journal of Digital Convergence
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• v.17 no.11
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• pp.233-240
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• 2019

In order to predict and respond to cyber attacks, a number of security companies quickly identify the methods, types and characteristics of attack techniques and are publishing Security Intelligence Reports(SIRs) on them. However, the SIRs distributed by each company are huge and unstructured. In this paper, we propose a framework that uses five analytic techniques to formulate a report and extract key information in order to reduce the time required to extract information on large unstructured SIRs efficiently. Since the SIRs data do not have the correct answer label, we propose four analysis techniques, Keyword Extraction, Topic Modeling, Summarization, and Document Similarity, through Unsupervised Learning. Finally, has built the data to extract threat information from SIRs, analysis applies to the Named Entity Recognition (NER) technology to recognize the words belonging to the IP, Domain/URL, Hash, Malware and determine if the word belongs to which type We propose a framework that applies a total of five analysis techniques, including technology.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.36 no.5
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• pp.93-103
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• 2020

The purpose of this study is to suggest a supervisory way to improve the efficiency of Building Supervision using Deep Learning, especially object detecting technology. Since the establishment of the Building Supervision system in Korea, it has been changed and improved many times systematically, but it is hard to find any improvement in terms of implementing methods. Therefore, the Supervision is until now the area where a lot of money, time and manpower are needed. This might give a room for superficial, formal and documentary supervision that could lead to faulty construction. This study suggests a way of Building Supervision which is more automatic and effective so that it can lead to save the time, effort and money. And the way is to detect the hoop-bars of a column and count the number of it automatically. For this study, we made a hoop-bar detecting network by transfor learnning of YOLOv2 network through MATLAB. Among many training experiments, relatively most accurate network was selected, and this network was able to detect rebar placement in building site pictures with the accuracy of 92.85% for similar images to those used in trainings, and 90% or more for new images at specific distance. It was also able to count the number of hoop-bars. The result showed the possibility of automatic Building Supervision and its efficiency improvement.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.6
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• pp.245-254
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• 2022

Proteins are the basic unit of all life activities, and understanding them is essential for studying life phenomena. Since the emergence of the machine learning methodology using artificial neural networks, many researchers have tried to predict the function of proteins using only protein sequences. Many combinations of deep learning models have been reported to academia, but the methods are different and there is no formal methodology, and they are tailored to different data, so there has never been a direct comparative analysis of which algorithms are more suitable for handling protein data. In this paper, the single model performance of each algorithm was compared and evaluated based on accuracy and speed by applying the same data to CNN, LSTM, and GRU models, which are the most frequently used representative algorithms in the convergence research field of predicting protein functions, and the final evaluation scale is presented as Micro Precision, Recall, and F1-score. The combined models CNN-LSTM and CNN-GRU models also were evaluated in the same way. Through this study, it was confirmed that the performance of LSTM as a single model is good in simple classification problems, overlapping CNN was suitable as a single model in complex classification problems, and the CNN-LSTM was relatively better as a combination model.

• The Journal of Small Business Innovation
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• v.19 no.2
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• pp.53-68
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• 2016

Motivation and activities for technological learning, entrepreneurship, innovation, and creativity are driving forces of economic development in Asian countries. In the early stages of technological development, technological learning and entrepreneurship are efficient ways in which to catch up with advanced countries because firms can accumulate skills and knowledge quickly at relatively low risk. In the later stages of technological development, however, innovation and creativity become more important. This study aims to identify a) the factors (learning capabilities) that influence technological learning performance and b) barriers to enhancing innovation capabilities for the creative economy and organizations. The major part of this study is related to learning capabilities in the post-catch-up era. Based on a literature review and observations from Korean experiences, this study proposes a technological learning model composed of various influencing factors on technological learning. Three hypotheses are derived, and data are collected from Korean machine tool manufacturers. Intense interviews with CEOs and R&D directors are conducted using structured questionnaires. Statistical analysis, such as correlation and ANOVA are then carried out. Furthermore, this study addresses how to enhance innovation capabilities to move forward. Innovation enablers and barriers are identified by case studies and policy analysis. The results of the empirical study identify several levels of firms' learning capabilities and activities such as a) stock of technology, b) potential of technical labor, c) explicit technological efforts, d) readiness to learn, e) top management support, f) a formal technological learning system, g) high learning motivation, h) appropriate technology choice, and i) specific goal setting. These learning capabilities determine firms' learning performance, especially in the early stages of development. Furthermore, it is found that the critical factors for successful technological learning vary along the stages of technology development. Throughout the statistical and policy analyses, this study confirms that technological learning can be understood as an intrinsic principle of the technology development process. Firms perform proactive and creative learning in the late stages, while reactive and imitative learning prevails in the early stages. In addition, this study identifies the driving forces or facilitating factors enhancing innovation performance in the post catch-up era. The results of the preliminary case studies and policy analysis show some facilitating factors such as a) the strategic intent of the CEO and corporate culture, b) leadership and change agents, c) design principles and routines, d) ecosystem and collaboration with partners, and e) intensive R&D investment.

• Journal of Elementary Mathematics Education in Korea
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• v.21 no.2
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• pp.309-341
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• 2017

This study aims to investigate an approach to teach percentages in elementary mathematics class by analyzing calculating strategies with percentage the students use to solve the percentage tasks and their percentages of correct answers, as well as types of errors with percentages the students make. For this research 182 sixth graders were examined. The instrument test consists of various task types in reference to the previous study; the percentages tasks are divided into algebraic-geometric, part whole-comparison-change and find part-find whole-find percentage tasks. According to the analysis of this study, percentages of correct answers of students with percentage tasks were lower than we expected, approximately 50%. Comparing the percentages of correct answers according to the task types, the part-whole tasks are higher than the comparison and change tasks, the geometric tasks are approximately equal to the algebraic tasks, and the find percentage tasks are higher than the find whole and find part tasks. As to the strategies that students employed, the percentage of using the formal strategy is not much higher than that of using the informal strategy, even after learning the formal strategy. As an insightful approach for teaching percentages, based on the study results, it is suggested to reinforce the meaning of percentage, include various types of the comparison and change tasks, emphasize the informal strategy explicitly using models prior to the formal strategy, and understand the relations among part, whole and percentage throughly in various percentage situations before calculating.

• Journal of the Korean Chemical Society
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• v.43 no.5
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• pp.578-588
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• 1999

The purpose of this study is to develope the more effective chemistry teaching strategy through analyzing the demanded cognitive levels of contents in high school chemistry I textbooks and the cognitive levels of students who learn these textbooks. For this purpose, the levets of cognitive development stages of 821 second grade students of high schools in Seoul City were anaIyzed using the GALT short version test. The demanded cognitive levels of understanding the contents of chemistry I textbooks in high school were analyzed using the curriculum analysis taxonomy developed by CSMS (Concept in Secondaly Mathematics and Science) program of the Great Britain. The resuIts showed that the proportion of students in the concrete operational stage, the transition stage, and the formal operational stage was l0.7%, 43.0% and 46.3%, respectively. The demanded levels of textbook contents were mostly the early formal operational stages. The concepts demanded the level of the late formal operational stage were 'atomic and molecular weight', 'stoichiometry of chemical reaction', and 'periodic properties of elements'. The results will be helpful for teachers in knowing what concepts are difficult for students to understand and in planning strategies for teaching those concepts. To demonstrate the application of the results obtained in this study, an example of developing teaching strategy which includes the adjustment of cognitive level of contents was shown.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.23 no.2
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• pp.69-86
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• 2012

Collaboration between teacher librarians and parents is one of the very important elements for school library management in characteristics of learning communities and expanding its' administration. These partnerships are necessary to relieve stress and risk conditions and improve ego-resilience of students. This study analyzed cases of student guidance within the partnerships between teacher librarians and parents and then inquired into formal or informal communication channels for their partnerships through written interview with 10 teacher librarians. The results of analyses teacher librarians have appreciated the necessity of collaboration with parents, and they have experienced student guidance, career guidance, reader's advisory and balancing acts between classroom teachers and parents. It turns out that reading programs with parents are formal communication channel rather than institutional committee such as School Library Council and Parents' Library-Assisting Volunteers and Parent Association and Training in the school library are informal communication channels. The teacher librarians also provide periodic reading events and training for parents and they utilize the School Homepage and Educational Newsletters as the main ways of public relation. In order to promote students' ego-resilience through their collaboration, parents should involve in School Library Council as an essential way for formal communication. And parents' role in school library management should be expanded from offering helping hands to activities to read book, library instruction, assisting teacher librarians in the Library-Assisted Instruction and production of teaching mediums.

• Journal of Families and Better Life
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• v.2 no.1
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• pp.93-109
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• 1984

The purpose of this study is to investigate the direction and strategy of education for sex role concepts of children on the basis of factor analysis of the present situation in sex role concepts and their formation. Although some maintain that sex role concept of our society has been changing slowly, the traditional sex role concept still dominates and is potentially immanent. the analysis of present condition of our society indicates that the formal as well as informal education are facing with various crucial problems in providing the direction of behavior demanded for carrying out the role. The close analysis of the three theories, psychoanalytic theory , social learning theory, cognitive development theory, lends a support to the laim of the study that cognitive development theory provide an integrated frame of reference for us to see the sex role education analytically Furthermore, the factors which are found to have influences on the formation of sex role have been analyzed in three areas: Family, School and society. 1)The factors in family such as parental behavior of upbringing and their concepts of sex role have a direct relationship with the nature of sex tole concept of children. Therefore, the first step to make children to habe a new type of sex-role conception appropriate for modern societies is to change that of parental conception and attitudes. 2)the quantitative as well as the qualitative aspects of school education showed no exceptional trend from the dominant conception of the society, although school are expected to lead the society as formal education institution rather than just reflect the society. The educational activities and contents such as the conceived goal of education for eoch sex, textbook constitation, teaching behavior and sex-role concepts of teacher are found to be still dominated by the traditional sex-role assumption. 3) The social factors that have direct relationship with children's sex-role formation are social and cultural, which include social milieu, condition of employment, family structure and mass-media. Since family and school do not educate the young in a social vacuum. their educational function of sex-role formation are doomed to be limited and determined by these social factors. Unfortunately, the analysis of present conditions showed the dominance of traditional types of sex-role concepts in all these social factors. The education of sex-role concept for children should be treated as one of the most crucial value problems related with many other important problems, such as direction and patterns of behaviors of each sex, the degree of self-development and capabilities, and consequently human right, equality, humanization and the quality of happiness. Neverthless, the analysis of researches on sex-role education which have been surveyed in this study lead to a conclusion that concerted effort to change the education, formal as well as informal should be provided in every aspect of social life. If the sex role education of the past has aimed at the "feminization"of girls which indoctrinate girls into a limited and fixed role of house wives, the new education in the future should be directed foward "humanization" of both sexes which opens the diversity of roles for both boys and girl on equal levels and provide future possibilities in accordance to their individual capabilities and interests.