• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.2
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• pp.307-312
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• 2021

Artificial Intelligence has a long history and is used in various fields including image recognition and automatic translation. Therefore, when we first encounter artificial intelligence, many terms, concepts and technologies often have difficulty in setting or implementing research direction. This study summarized important concepts related to artificial intelligence and summarized the progress of the past 60 years to help researcher suffering from these difficulties. Through this, it is possible to establish the basis for the use of vast artificial intelligence technologies and establish the right direction for research.

• ETRI Journal
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• v.45 no.5
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• pp.862-873
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• 2023

Determining whether an autonomous self-driving agent is in the middle of an intersection can be extremely difficult when relying on visual input taken from a single camera. In such a problem setting, a wider range of views is essential, which drives us to use three cameras positioned in the front, left, and right of an agent for better intersection recognition. However, collecting adequate training data with three cameras poses several practical difficulties; hence, we propose using data collected from one camera to train a three-camera model, which would enable us to more easily compile a variety of training data to endow our model with improved generalizability. In this work, we provide three separate fusion methods (feature, early, and late) of combining the information from three cameras. Extensive pedestrian-view intersection classification experiments show that our feature fusion model provides an area under the curve and F1-score of 82.00 and 46.48, respectively, which considerably outperforms contemporary three- and one-camera models.

• Journal of Information Processing Systems
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• v.14 no.5
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• pp.1114-1135
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• 2018

A multiple classification system based on a new boosting technique has been approached utilizing different biometric traits, that is, color face, iris and eye along with fingerprints of right and left hands, handwriting, palm-print, gait (silhouettes) and wrist-vein for person authentication. The images of different biometric traits were taken from different standard databases such as FEI, UTIRIS, CASIA, IAM and CIE. This system is comprised of three different super-classifiers to individually perform person identification. The individual classifiers corresponding to each super-classifier in their turn identify different biometric features and their conclusions are integrated together in their respective super-classifiers. The decisions from individual super-classifiers are integrated together through a mega-super-classifier to perform the final conclusion using programming based boosting. The mega-super-classifier system using different super-classifiers in a compact form is more reliable than single classifier or even single super-classifier system. The system has been evaluated with accuracy, precision, recall and F-score metrics through holdout method and confusion matrix for each of the single classifiers, super-classifiers and finally the mega-super-classifier. The different performance evaluations are appreciable. Also the learning and the recognition time is fairly reasonable. Thereby making the system is efficient and effective.

• Journal of the Korean Society for Library and Information Science
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• v.40 no.1
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• pp.217-239
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• 2006

21st century is a knowledge and information society. Keeping pace with this global environment change. people demand various roles from a library First, they demand to play a role of an 'Information Connector' rather than a traditional role of a 'Book Container'. Second, they demand to be the place of the social integration for a solution to the information and learning gap and the place for a life-long learning for HRD(Human Resources Development) by the community unit. In addition, not only introducing a system of 'Deputy Prime Minister and Minister of Education & HRD' for national HRD and 'Five-Day Week' but the advent of 'an Aging Society' demand a change of a library. This study researches roles of a library inseparably related to such new paradigms in the life-long learning society as the knowledge. information, five-day week. aging and HRD, and shows the right direction of a library to pursue in the future.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.6
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• pp.227-237
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• 2020

This study was designed to examine whether the self-directed learning method could improve self-directed learning readiness and the effects of academic achievement level. Self-directed learning readiness was investigated among 63 first-year Medical Terminology undergraduates in the C area. A repeat measurement variance analysis of the general linear model was conducted to evaluate the effects of improving self-directed learning readiness according to the general characteristics and level of academic achievement, while a regression analysis was performed to identify the factors affecting self-directed learning readiness. Self-directed learning readiness increased from 177.3 to 180.8 for those under 18 years of age, and 192.9 to 196.5 for those over 19 years of age (p<0.05). After the team activity, the overall self-directed learning readiness was improved, and both high- and low-achieving groups showed statistically significant improvements (p<0.05). The environment surrounding learners was confirmed to have a positive effect on improving self-directed learning when given the right degree of self-directed learning and appropriate feedback. The study results are expected to form basic foundation material for professors and class designers who want to draw self-directed learning skills from memorizing subjects.

• Journal of Science Education
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• v.33 no.1
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• pp.87-99
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• 2009

The purpose of this study was to evaluate the quality of biology contents of cyber home learning systems which provided by 16 metropolitan and provincial offices of education. The contents were evaluated by the 9 categories: needs assessment, instruction design, learning contents, teaching & learning strategy, interaction, supporting system, evaluation, ethicality and copy right. The result showed that the contents have advantage in detailed learning goal, useful learning environment, learning activities by level, and various learning parts material, but lack in evaluation method tool for personal learning by level and the latest learning material. Based on this results, it is expected that the barrier of the efficient learning contents should be searched for the complement, as well as the development high-quality educational contents and the management of cyber home learning system.

• 한국정보교육학회:학술대회논문집
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• 2021.08a
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• pp.355-360
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• 2021

COVID-19 has brought major changes to school education. Although it was attempted to guarantee students' right to learn through romote learning, the limitations of remote learning compared to face-to-face classes were clear. Nevertheless, the method of remote learning is undoubtedly a learning method that needs to be continuously developed in terms of being able to consider separated time and space and enabling learners to learn individually and autonomously. Therefore, in this study, real-time romote learning cases were analyzed at the elementary school stage, and problems in real-time remote classes were discovered and improved through teacher interviews. The problems with real-time remote classes in elementary school unit classes examined through examples are: First, that the proportion of teacher activity is high due to the anxiety of the unfamiliar environment of remote classes, and second, even though it is a real-time interactive class, it It was impossible to provide feedback. As a solution to this, it is necessary to consider the basic class steps (introduction-deployment-organization) and the use of class tools to provide appropriate communication and feedback was suggested.

• Journal of the Korea Convergence Society
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• v.9 no.10
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• pp.21-28
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• 2018

To help users who are experiencing difficulties finding the right learning course corresponding to their level of proficiency, we developed a recommendation model for personalized learning course for Intelligence Tutoring System(ITS). The Personalized Learning Course Recommendation model for ITS analyzes the learner profile and extracts the keyword by calculating the weight of each word. The similarity of vector between extracted words is measured through the cosine similarity method. Finally, the three courses of top similarity are recommended for learners. To analyze the effects of the recommendation model, we applied the recommendation model to the Women's ability development center. And mean, standard deviation, skewness, and kurtosis values of question items were calculated through the satisfaction survey. The results of the experiment showed high satisfaction levels in accuracy, novelty, self-reference and usefulness, which proved the effectiveness of the recommendation model. This study is meaningful in the sense that it suggested a learner-centered recommendation system based on machine learning, which has not been researched enough both in domestic, foreign domains.

• The Korean Journal of Applied Statistics
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• v.12 no.1
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• pp.309-313
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• 1999

To overcome current hardship during recent years of university reform, statistics departments of Korean universities should form a new shape with efficient strategies: First, they should value interdisciplinary and open education to foster scientific generalists rather than specialists (Bode.Mosteller.Tukey.Winsor, 1949). Second, they should work out on developing curriculum and improving educational quality for non-statistics majors (Ahn.Cho.Huh, 1994). The service market is widely open and its value is certainly worthy. Third, they may change their department name from "statistics", of which the social image is not quite right, to "data science" or "data information". Statistics is a field of learning on data methodology (Friedman, 1997). methodology (Friedman, 1997).

• Journal of Educational Research in Mathematics
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• v.25 no.4
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• pp.549-569
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• 2015

Reflecting on own beliefs about teaching and learning, developed during "the apprenticeship of observation", is a central task for pre-service years. This case study analysed a lesson observation course which could identify, challenge pre-service teachers' folk pedagogy about classroom communications and induce to change of beliefs about teaching and learning. Our analysis shows that targeting and refuting pre-service teachers' specific belief may be an effective strategy for teacher educators to foster new teaching practice.