• Journal of the Institute of Electronics Engineers of Korea CI
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• v.45 no.5
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• pp.25-31
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• 2008

It is important for users to be confirming in e-Leaning system, because legitimate learner should be joined to the system for teaming and testing Thus, most system for authentication was verified using id and password with learner's id and password. In this case, It can be easy for hackers to steal learner's id and password. In addition, soma learner gets another to sit for the examination for one with another person id and password. For the solution like this problem it needs a biometrics authentication for complement. This method is required so much extra cost as well as are an unwanted concern. Therefore, we proposed keystroke technique to decide which learners are righteous or unlawful in this paper. In addition, we applied statistics and neural network for the performance of keystroke system. As a result, the performance of FAR and FRR in keystroke authentication was increased by proposed method.

• Journal of The Korean Association of Information Education
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• v.24 no.6
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• pp.653-662
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• 2020

In this study, the content and level of the elements of Computational Thinking in the Software Education area of elementary practical textbooks were analyzed, and also the computing ratio for each textbook learning activity was analyzed. The elements of Computational Thinking were defined based on the components and definitions of Computational Thinking skills suggested by the Ministry of Education. The contents of Software Education area in practical arts textbooks published by six publishers were analyzed. As a result of analyzing the elements of Computational Thinking for each textbook according to the achievement criteria, there was a difference in whether sub-elements of Computational Thinking were included for each textbook. Second, as a result of analyzing the level of Computing of learning content, the proportion of textbooks presenting Abstract activities connected to Computing was relatively low. When the curriculum is reorganized or the textbook is revised in the future, it is necessary to complement the elements of Computational Thinking in a balanced way, and to include general Abstraction activities and Abstraction activities that can lead to Automation.

• Proceedings of the Korean Society of Crop Science Conference
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• 2022.10a
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• pp.81-81
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• 2022

Recently, many studies on big data based smart farming have been conducted. Research to quantify morphological characteristics using image data from various crops in smart farming is underway. Rice is one of the most important food crops in the world. Much research has been done to predict and model rice crop yield production. The number of productive tillers per plant is one of the important agronomic traits associated with the grain yield of rice crop. However, modeling the basic growth characteristics of rice requires accurate data measurements. The existing method of measurement by humans is not only labor intensive but also prone to human error. Therefore, conversion to digital data is necessary to obtain accurate and phenotyping quickly. In this study, we present an image-based method to predict leaf number and evaluate tiller number of individual rice crop using YOLOv5 deep learning network. We performed using various network of the YOLOv5 model and compared them to determine higher prediction accuracy. We ako performed data augmentation, a method we use to complement small datasets. Based on the number of leaves and tiller actually measured in rice crop, the number of leaves predicted by the model from the image data and the existing regression equation were used to evaluate the number of tillers using the image data.

• Journal of the Korean earth science society
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• v.44 no.6
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• pp.675-692
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• 2023

This study used a Chatbot, a generative artificial intelligence (AI), to analyze the interaction between the Chatbot and students when exploring critical minerals from an epistemological aspect. The results, issues to be kept in mind in the teaching and learning process using AI were discussed in terms of the role of the teacher, the goals of education, and the characteristics of knowledge. For this study, we conducted a three-session science education program using a Chatbot for 19 high school students and analyzed the reports written by the students. As a result, in terms of form, the students' questions included search-type questions and non-search-type questions, and in terms of content, in addition to various questions asking about the characteristics of the target, there were also questions requiring a judgment by combining various data. In general, students had a questioning strategy that distinguished what they should aim for and what they should avoid. The Chatbot's answer had a certain form and consisted of three parts: an introduction, a body, and a conclusion. In particular, the conclusion included commentary or opinions with opinions on the content, and in this, value judgments and the nature of science were revealed. The interaction between the Chatbot and the student was clearly evident in the process in which the student organized questions in response to the Chatbot's answers. Depending on whether they were based on the answer, independent or derived questions appeared, and depending on the direction of comprehensiveness and specificity, superordinate, subordinate, or parallel questions appeared. Students also responded to the chatbot's answers with questions that included critical thinking skills. Based on these results, we discovered that there are inherent limitations between Chatbots and students, unlike general classes where teachers and students interact. In other words, there is 'limited interaction' and the teacher's role to complement this was discussed, and the goals of learning using AI and the characteristics of the knowledge they provide were also discussed.

• Proceedings of the IEEK Conference
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• 2003.07d
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• pp.1645-1648
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• 2003

본 연구는 멀티미디어를 활용한 웹 기반 코스웨어의 개발로서 첫째, 7차 교육 과정 9학년 과학 교과의 '생식과 발생' 단원을 선정하여 기된 과정의 내용을 철저히 분석하고 심화ㆍ보충 과정과 관련된 자료를 추출하였으며, 둘째, 멀티미디어 기반의 코스웨어가 구동될 수 있는 서버 환경을 구축하였고, 세째 멀티미디어 기반의 웹 코스웨어를 제작하고 구현하였다. 네째. 구현된 코스웨어를 교실 환경에 투입하고 교사와 학생의 반응을 조사하는 순으로 수행하였다. 코스웨어 설계의 기본 방향은 기된 과정의 학습 내용을 학습자 중심의 학습이 되도록 주제별로 적절히 재구성하고 심화ㆍ보충 과정에 해당하는 부분의 내용을 추출하여 학습자가 학습 동기를 향상시킬 수 있는 다양한 멀티미디어 컨텐츠를 학습자와의 상호작용을 할 수 있도록 CGI를 활용하여 구현하였다. 코스웨어의 기본 구조는 기본학습(내용 항목), 학습평가, 학습 자료실, 보충 학습, 심화 학습, 교과서를 넘어서, 유용한 사이트 등으로 구성이 되어 있다. 교사용 검사지는 주로 일반 사항, 수업 설계 측면에서 추출하여 사용하였고, 학생용 검사지는 일반 사항과 기술적 측면에서 추출하여 사용하였다. 설문지 조사 결과 대부분의 항목에서 보통이상의 점수를 얻음으로써 개발된 코스웨어의 필요성 및 유용성이 입증이 되었고 앞으로도 더 많은 멀티미디어를 포함한 웹 기반의 코스웨어가 개발되어 학교 현장에 투임 되어야 한다는 것을 시사한다.

• English Language & Literature Teaching
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• v.11 no.3
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• pp.113-137
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• 2005

The purpose of this research is to introduce a new pedagogy for developing English education in the university. It is based on the favorable results of the application of Network English, which is a method that has been used in three classes at Y University for a period of one semester. Network English is a kind of integrated teaching method of offline and online education, and can be a learner-oriented educational method. The online aspect gives learners easier access to the text, regardless of time and place. And in addition to the characteristic of online itself, the various contents in conformity with the learning ability of learners are provided in the text, in order that the learners can get and maintain a desire for study without losing their interest in English. Although the offline part is not much different from traditional classes, the offline education can complement the deficiency of the online and also offer the learners the opportunity for questions and answers. From the results of application of Network English in three classes, the students were satisfied with the method and have more interest in English, which resulted in better grades.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.28 no.3
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• pp.42-57
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• 2005

The National Education Information System(NEIS) has been utilized in primary and secondary schools. In this paper, we consider the NEIS should be used not only for educational administration affairs, but also for a lifelong management of national human resource. The current School Information Management System(SIMS), including the NEIS, is unsatisfactory due to the insufficiency of actual field suitability and end-user's conveniency. To this, we have devised improvements of the SIMS in the seven problem areas: ) The core business process of the school should be analyzed sufficiently and reflected in SIMS. (2) We should fully utilize groupware functions which activate the learning organization. (3) We might apply and use the CRM techniques of enterprises in SIMS. (4) The SIMS should be easy to make necessary school assessment data. (5) We should complement functions of the SIMS for a lifelong healthcare information management of national human resource. (6) The SIMS should support the school lunch management. (7) We should bring BOM and work-flow concepts into the SIMS.

• Proceedings of the Korean Geotechical Society Conference
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• 2002.03a
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• pp.445-452
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• 2002

In the field of civil and geotechnical engineering, students conduct a variety of soil tests to fulfill undergraduate soil mechanics course requirement. There is a range of problems in soil laboratory instruction, such as, some students not getting hands on experience of conducting tests because of inadequate number of apparatus, time constraints and inability in exciting students to seriously conduit the experiments, However when these laboratory soil tests are simulated with multimedia interaction ann visualization techniques, the students conceptual understanding of soil mechanics is enhanced. The simulation program for website teaching is a computer based instructional package intended to complement, and potentially replace, some physical testing in a real soil laboratory. The overall aim of this project is to develop an experimental simulation program toward active learning and development of critical thinking skills, including data interpretation, understanding of the precesses and influential factors, and problem solving. Therefore enable students to access website to team experimental procedure at any time or place.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.17 no.11
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• pp.1199-1205
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• 1992

In this paper, a Korean word recognition method which usese Neural Network and Hidden Markov Models(HMM) is proposed to improve a recognition rate with a small amount of learning data. The method reduces the fluctuation due to personal differences which is a problem to a HMM recognition system. In this method, effective recognizer is designed by the complement of each recognition result of the Hidden Markov Models(HMM) and Neural Network. In order to evaluate this model, word recognition experiment is carried out for 28 cities which is DDD area names uttered by two male and a female in twenties. As a result of testing HMM with 8 state, codeword is 64, the recognition rate 91[%], as a result of testing Neural network(NN) with 64 codeword the recognition rate is 89[%]. Finally, as a result of testing NN-HMM with 64 codeword which the best condition in former tests, the recognition rate is 95[%].

• Journal of the Korea Institute of Military Science and Technology
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• v.25 no.5
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• pp.443-461
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• 2022

Target Detection in synthetic aperture radar(SAR) image is critical for military and national defense. In this paper, we propose YOLOv4-Attention architecture which adds attention modules to YOLOv4 backbone architecture to complement the feature extraction ability for SAR target detection with high accuracy. For training and testing our framework, we present new SAR embedding datasets based on MSTAR SAR public datasets which are about poor environments for target detection such as various clutter, crowded objects, various object size, close to buildings, and weakness of signal-to-clutter ratio. Experiments show that our Attention YOLOv4 architecture outperforms original YOLOv4 architecture in SAR image target detection tasks in poor environments for target detection.