• Journal of Digital Convergence
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• v.12 no.1
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• pp.511-518
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• 2014

The purpose of this study is to produce and distribute a smart device based educational application for culinary practice. This study was performed from Jul. 1 to Dec. 30, 2012. The design of the application is composed of the theoretical contents, making methods, practice video and evaluation questions of Western cuisine among the contents of the culinary practice education. In addition, the notice and Q&A were added for the interaction between teachers and learners. For this study, 31 main dishes' pictures, 155 pictures for making processes by menu, 31 recipes, 31 cooking tips, 372 evaluation questions and 31 cooking videos about 31 menus were produced. The contents produced as above were directly inserted at 'http://kongju-fn.dslink.co.kr/super/index.html' to produce the application. This application can be found through searching with the word of 'yoribaksa'. This study can be considered to be significant in that this application was produced in the situation of the absence of any other previous applications for culinary practice education.

• The Journal of Korea Robotics Society
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• v.12 no.3
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• pp.297-305
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• 2017

As the development of autonomous vehicles becomes realistic, many automobile manufacturers and components producers aim to develop 'completely autonomous driving'. ADAS (Advanced Driver Assistance Systems) which has been applied in automobile recently, supports the driver in controlling lane maintenance, speed and direction in a single lane based on limited road environment. Although technologies of obstacles avoidance on the obstacle environment have been developed, they concentrates on simple obstacle avoidances, not considering the control of the actual vehicle in the real situation which makes drivers feel unsafe from the sudden change of the wheel and the speed of the vehicle. In order to develop the 'completely autonomous driving' automobile which perceives the surrounding environment by itself and operates, ability of the vehicle should be enhanced in a way human driver does. In this sense, this paper intends to establish a strategy with which autonomous vehicles behave human-friendly based on vehicle dynamics through the reinforcement learning that is based on Q-learning, a type of machine learning. The obstacle avoidance reinforcement learning proceeded in 5 simulations. The reward rule has been set in the experiment so that the car can learn by itself with recurring events, allowing the experiment to have the similar environment to the one when humans drive. Driving Simulator has been used to verify results of the reinforcement learning. The ultimate goal of this study is to enable autonomous vehicles avoid obstacles in a human-friendly way when obstacles appear in their sight, using controlling methods that have previously been learned in various conditions through the reinforcement learning.

• Korean Journal of Cognitive Science
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• v.10 no.1
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• pp.67-78
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• 1999

Information providers on WWW have been rapidly increasing, and they provide a vast amount of information in various fields, Because of this reason, it becomes hard for users to get the information they want. Although there are several search engines that help users with the keyword matching methods, it is not easy to find suitable keywords. In order to solve these problems with a specific domain, we propose an intelligent information agent(HHA-la : HongIk Information Agent) that converts user's q queries to forms including related domain words in order to represent user's intention as much as it can and provides the necessary information of the domain to users. HHA-la h has an ontological knowledge base of animal domain, supplies necessary information for queries from users and other agents, and provides relevant web page information. One of system components is a WebDB which indexes web pages relevant to the animal domain. The system also supplies new operators by which users can represent their thought more clearly, and has a learning mechanism using accumulated results and user feedback to behave more intelligently, We implement the system and show the effectiveness of the information agent by presenting experiment results in this paper.

• Journal of The Korean Association of Information Education
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• v.10 no.1
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• pp.13-22
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• 2006

Students should be able to find information and resources using the Internet. Also students need to have composite intellectual abilities to select information, convert to knowledge and communicate it to other people. However, most school and classroom homepages provide students with information but not contents that help them produce knowledge. This lowers the rate of connection to homepage. Thus, the purpose of this study is to develop and apply homepage, which helps students make knowledge from comprehended and interpreted information(Knowledge.Sharing Technique; KST). In this study we use 'WIKI KST' and 'Q&A KST' to share knowledge. WIKI KST is 'an encyclopedia that we make,' which means that students upload their prior knowledge or knowledge produced from comprehended and interpreted information and create new knowledge to be added to their own knowledge and others'. As a result, the abilities to comprehend and interpret acquired information are improved and the ability to change implicit knowledge to explicit knowledge is also improved. Students create new knowledge to share their knowledge and, as a result, the rate to connection to homepage gets higher.

• Journal of The Korean Association For Science Education
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• v.13 no.3
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• pp.341-358
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• 1993

In this study, the researcher analyzed relationship between stuents' science anxiety and achivement, and investigated the tendency of the science anxiety by students' variables. For the survey of this study. 5,304 stuents were sampled from the population of Korean secondary school. The researcher adopted R&D procedure for the development of SAMS(science anxiety measurement scale) and the SAT(science achivement test). The instrument SAMS consisted of 38-item scale. Cronbach a for SAMS was 0.92, concurrent validity was 0.66. SAT consist of 2O-item, the reliable coefficent of KR-20 was 0.70. The data were analyzed by using Pearson-Product coefficient and Regression analysis for the correlation between dependent and independent variable. The tendency of science anxiety were analyzed Multi-way analysis of variance, and all hypotheses were evaluated as the significant level of 0.001. Results of this study were summarized as follows : 1) The relationship between the science anxiety and the achivement showed negative correlation(r=-O.24) in all grades. 2) The relationship between the male and the female showed negative correlation (male;r=-Q.23. female=-O.22), but 11ths' humanities course and female of the science course didn't showed correlation. 3) The size of city where the school located showed negative correlation to the students anxiety(big city;-O27. medium;-O.24, small city;-O.22). 4) Tendency of students' science anxiety according to the variable of grades and sex variables was found to significant difference. The effects of interaction were found to significant difference between two variables of grade and sex. sex and local, local and grade. The effects among three variables were formed to significant difference grade, sex and local.

• Fashion & Textile Research Journal
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• v.18 no.6
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• pp.766-775
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• 2016

In the era of globalization and unlimited competition, Korean universities need a breakthrough in their education system according to the changing education landscape, such as lower graduation requirements to cultivate more multi-talented convergence leaders. While each student has different learning capabilities, which results in different performance and achievements in the same class, the uniform education that most universities are currently offering fails to accommodate such differences. Blended learning, synergically combining offline and online classes, enlarges learning space and enriches learning experiences through diversified tools and materials, including multimedia. Recently, universities are increasingly adopting video contents and on-offline convergence learning strategy. Thus, this study suggests a teaching method based on blended learning to more effectively teach existing pattern CAD and virtual CAD in the Apparel Pattern CAD class. To this end, this researcher developed a teaching-learning method and curriculum according to the blended learning phase and video-based contents. The curriculum consisted of 2D CAD (SuperAlpha: Plus) and 3D CAD (CLO) software learning for 15 weeks. Then, it was loaded to the Learning Management System (LMS) and operated for 15 weeks both online and offline. The performance analysis of LMS usage found that class materials, among online postings, were viewed the most. The discussion menu most accurately depicted students' participation, and students who did not participate in discussions were estimated to check postings less than participating students. A survey on the blended learning found that students prefer digital or more digitized classes, while preferring face to face for Q&As.

• KIISE Transactions on Computing Practices
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• v.21 no.1
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• pp.94-99
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• 2015

With the recent machine learning paradigm of using nonparametric Bayesian statistics and statistical inference based on random sampling, the Dirichlet distribution finds many uses in a variety of graphical models. It is a multivariate generalization of the gamma distribution and is defined on a continuous (K-1)-simplex. This paper presents a sampling method for a Dirichlet distribution for the problem of dividing an integer X into a sequence of K integers which sum to X. The target samples in our problem are all positive integer vectors when multiplied by a given X. They must be sampled from the correspondingly gridded simplex. In this paper we develop a Markov Chain Monte Carlo (MCMC) proposal distribution for the neighborhood grid points on the simplex and then present the complete algorithm based on the Metropolis-Hastings algorithm. The proposed algorithm can be used for the Markov model, HMM, and Semi-Markov model for accurate state-duration modeling. It can also be used for the Gamma-Dirichlet HMM to model q the global-local duration distributions.

• The Transactions of the Korea Information Processing Society
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• v.6 no.12
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• pp.3577-3588
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• 1999

This paper describes design and implementation of a general purpose cyber educational system. In this system, there are different types of menus and services according to such user's rights as system operators, professors, assistant instructors, students. In order to keep in close contact between students and professors, provided are various services such as the official announcement, transcripts of lecture, bulletin board, Q/A corner, report box, archive of study materials, electronic mail box, memorandum including checking of one's attendance and school record. For the purpose of activating small group studies and discussion about given subject, it can organize into groups automatically and provide with debating rooms. The system is implemented by separating with both HTML design and programming part by templete concept. Overload of iterative server is solved by adjusting the numbers of DB servers of each service.

• Journal of the Korea Society of Computer and Information
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• v.26 no.3
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• pp.29-34
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• 2021

With the advent of the 4th industrial revolution era, IT technology is creating new services that have not existed by converging with various existing industries and fields. In particular, in the field of artificial intelligence, chatbots and the latest technologies have developed dramatically with the development of natural language processing technology, and various business processes are processed through chatbots. This study is a study on a system that provides a close answer to the question the user wants to find by creating a structural form for legal inquiries through Slot Filling-based chatbot technology, and inputting a predetermined type of question. Using the proposal system, it is possible to construct question-and-answer data in a more structured form of legal information, which is unstructured data in text form. In addition, by managing the accumulated Q&A data through a big data storage system such as Apache Hive and recycling the data for learning, the reliability of the response can be expected to continuously improve.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.85-93
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• 2021

The government is pursuing plans to create new e-government services. In terms of improving business procedures, dBrain (finance), e-people (personnel), and Onnara (electronic payment and business management) have achieved considerable results, and are currently making efforts to improve existing administrative services using newly emerged ICT. Among them, this paper attempted to study whether self-learning-based intelligent administrative services are efficient in the work process of public officials promoting actual work and affect their continued use. Based on individual perceptions and attitudes toward advanced ICTs such as AI, big data, and blockchain, public officials' influences on administrative services were identified and verified using UTAUT variables. They believe that the establishment and introduction of innovative administrative services can be used more efficiently, and they have high expectations for the use and provision of services as ICT develops. In the future, a model will be also applied to citizens