• International Journal of Advanced Culture Technology
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• 제9권3호
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• pp.298-304
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• 2021

Currently, to prevent the spread of COVID-19 virus infection, gathering of more than 5 people in the same space is prohibited. The purpose of this paper is to measure the distance between objects using the Yolov5 model for processing real-time images with OpenCV in order to restrict the distance between several people in the same space. Also, Utilize Euclidean distance calculation method in DeepSORT and OpenCV to minimize occlusion. In this paper, to detect the distance between people, using the open-source COCO dataset is used for learning. The technique used here is using the YoloV5 model to measure the distance, utilizing DeepSORT and Euclidean techniques to minimize occlusion, and the method of expressing through visualization with OpenCV to measure the distance between objects is used. Because of this paper, the proposed distance measurement method showed good results for an image with perspective taken from a higher position than the object in order to calculate the distance between objects by calculating the y-axis of the image.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권6호
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• pp.2470-2491
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• 2018

Web-scale open information extraction (Open IE) plays an important role in NLP tasks like acquiring common-sense knowledge, learning selectional preferences and automatic text understanding. A large number of Open IE approaches have been proposed in the last decade, and the majority of these approaches are based on supervised learning or dependency parsing. In this paper, we present a novel method for web scale open information extraction, which employs cosine distance based on Google word vector as the confidence score of the extraction. The proposed method is a purely unsupervised learning algorithm without requiring any hand-labeled training data or dependency parse features. We also present the mathematically rigorous proof for the new method with Bayes Inference and Artificial Neural Network theory. It turns out that the proposed algorithm is equivalent to Maximum Likelihood Estimation of the joint probability distribution over the elements of the candidate extraction. The proof itself also theoretically suggests a typical usage of word vector for other NLP tasks. Experiments show that the distance-based method leads to further improvements over the newly presented Open IE systems on three benchmark datasets, in terms of effectiveness and efficiency.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2004년도 춘계학술대회 학술발표 논문집 제14권 제1호
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• pp.422-425
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• 2004

Many believe that electronic distance teaming education transform higher education, saving money and improving learning qualify So, the open University, which teaches around 280,000 students at a distance, is examining the adaption of its distance teaching methods for the internet. But, there are only one type of distance learning education of one way direction. To understand all of a student which selected some of e teaming course, teacher must check that how many student to understand and what is the difficult problems. Without checking this condition, It will be a very difficult and boring distance learning course. In this paper, we introduce of intelligent learning contents of full duplex direction that teach understanding student and not understanding student. The computer simulation results confirms that full duplex e learning system has been proven to be much more efficient than one way direction which not considering about understanding problems.

• International Journal of Computer Science & Network Security
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• 제21권11호
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• pp.266-270
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• 2021

The article clarifies and divorces the concepts of distance learning systems "distance learning", "distance education", "distance technologies", "open education". The central concept of the DO system is "distance learning"; - an assessment of the use of distance technologies in the system of higher professional education in Ukraine was carried out, which showed that the dominant teaching technology at the moment is the technology of teaching using cases (case technology on paper and electronic media). It is determined that distance technologies based on the active use of technical teaching aids (network technologies, telecommunication technologies) find little use in the system of higher professional education in Ukraine.

• International Journal of Computer Science & Network Security
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• 제21권11호
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• pp.97-104
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• 2021

The authors provide characteristics of the open educational platforms, classification and quantitative analysis regarding the availability of IT courses, teaching language, thematic directions on the following platforms: Coursera, EdX, Udemy, MIT Open Course Ware, OpenLearn, Intuit, Prometheus, UoPeople, Open Learning Initiative, Open University of Maidan (OUM). The quantitative analysis results are structured and visualized by tables and diagrams. The authors propose to use open educational resources (teaching, learning or research materials that are in the public domain or released with an intellectual property license that allows free use, adaptation, and distribution) for organization of independent work; for organization of distance or correspondence training; for professional development of teachers; for possibility and expediency of author's methods dissemination in the development of their own courses and promoting them on open platforms. Post-project activities are considered in comparing the courses content of one thematic direction, as well as studying the experience of their attending on different platforms.

• 문화기술의 융합
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• 제8권1호
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• pp.121-129
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• 2022

이 연구는 거꾸로 수업, 직접교수법, 협동학습, 실시간 화상수업을 조합한 수업상황에서 학습에 유용한 교수학습활동을 탐색하였다. 연구대상은 교육방법 및 교육공학 과목 4분반, 교육학 교재연구 및 지도법 1분만을 수강한 99명이었다. 이들은 한 학기동안 하이브리드 수업상황을 경험하고, 활용된 22개의 교수학습활동이 학습에 유용한 정도를 리커트 척도에 답하였다. 그 결과, ① 22개의 교수학습활동은 모두 학습에 유용한 것으로 평가되었다. 그 중에서도 높은 평가를 받은 활동은 카톡방에서의 조별토론 내용을 캡처하여 제출한 것, 과제 사례 제공, 연습, 과제에 대한 피드백, 다른 모둠의 과제 결과 공유, 시험 답안에 대한 피드백 등이었다. ② 낮은 평가를 받은 교수학습활동은 화상 문답과 오픈 북 시험이었다. ③ 하이브리드 수업의 학습 효과에 대해서는 3.67점의 긍정적인 평가를 하였고, 학습량도 대면수업만큼 많았던 것으로 인식하였다(평균 3.67, SD=1.03). 자유응답도 문항조사결과를 지지하였다. 이 연구는 대학에서 원격수업을 통해 거꾸로 수업을 시행할 때 성패를 가를 수 있는 관건이 직접교수법, 협동학습의 정확한 실행임을 확인하고, 이를 구현할 구체적이고 효과적인 수업전략들을 검증하였다는 점에서 의미가 있다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 추계학술대회
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• pp.388-390
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• 2021

본 논문은 키패드, 도트매트릭스, 라이다센서, NFC 리더기를 부착한 임베디드 보드와 공공데이터포털 Open API 시스템과 딥러닝 알고리즘(YOLOv5)를 사용하여 시각장애인의 버스 탑승에 도움을 줄 수 있는 시스템을 소개한다. 이용자는 NFC 리더기 및 키패드를 통해 희망하는 버스번호를 입력한 뒤, Open API 실시간 데이터를 통해 해당 버스의 위치 및 도착예정시간 정보를 시스템에 입력해놓은 음성 출력을 통해 얻는다. 또한 도트매트릭스로 버스번호를 출력하여 기사와의 상호작용을 대기함과 동시에 딥러닝 알고리즘(YOLOv5)은 정차하는 버스 번호를 실시간 인식하고 거리센서로 버스와의 거리를 감지하여 정차유무정보를 확인, 전달하는 시스템을 제안한다.

• Journal of Information Science Theory and Practice
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• 제7권3호
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• pp.6-20
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• 2019

Learning analytics, or educational data mining, is an emerging field that applies data mining methods and tools for the exploitation of data coming from educational environments. Learning management systems, like Moodle, offer large amounts of data concerning students' activity, performance, behavior, and interaction with their peers and their tutors. The analysis of these data can be elaborated to make decisions that will assist stakeholders (students, faculty, and administration) to elevate the learning process in higher education. In this work, the power of Excel is exploited to analyze data in Moodle, utilizing an e-learning course developed for enhancing the information computer technology skills of school teachers in primary and secondary education in Greece. Moodle log files are appropriately manipulated in order to trace daily and weekly activity of the learners concerning distribution of access to resources, forum participation, and quizzes and assignments submission. Learners' activity was visualized for every hour of the day and for every day of the week. The visualization of access to every activity or resource during the course is also obtained. In this fashion teachers can schedule online synchronous lectures or discussions more effectively in order to maximize the learners' participation. Results depict the interest of learners for each structural component, their dedication to the course, their participation in the fora, and how it affects the submission of quizzes and assignments. Instructional designers may take advice and redesign the course according to the popularity of the educational material and learners' dedication. Moreover, the final grade of the learners is predicted according to their previous grades using multiple linear regression and sensitivity analysis. These outcomes can be suitably exploited in order for instructors to improve the design of their courses, faculty to alter their educational methodology, and administration to make decisions that will improve the educational services provided.

• Educational Technology International
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• 제17권1호
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• pp.59-85
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• 2016

The purpose of the study is to report differences in the effects of learner characteristics on the self-regulated learning (SRL) abilities between Chinese and Korean distance learners by using a structured SRL scale. A standardized 54-item self-regulated learning scale (SRAS) was used. The reliability was tested both in China and Korea which showed the scale had good reliability. The comparative study were conducted by administering the SRAS on 1999 Chinese distance learners from the Open Distance Education Center of Beijing Normal University and 1941 Korean distance learners from H Cyber University. Data on four dimensions of SRL - planning, control, regulating, and evaluation - were analyzed using 't-test' and 'ANOVA' with regards to the learner characteristics such as gender, age, prior education level, semesters, location and major. Results indicated that the average participant had an above medium level of SRL ability in all of the four dimensions. There were significant differences in the self-regulated learning ability between Chinese and Korean distance learners. Chinese distance learners scored higher in SRAS than Korean distance learners. The effects of learner characteristics on the SRL ability showed different patterns in the two countries. As for gender, male learners scored better in SRL than female learners in China, whereas it was just the opposite in Korea. No age differences were found in China, but Korean data exhibited a consistent age effect in all dimensions. In Korea, the age group older than 46 scored the highest, followed by the group between 35 to 45 years old, the group between 26 to 35 years old and the group younger than 25. As for location, Korean distance students from metropolitan were better than those from other regions, whereas it was on the contrary in China, albeit the location effect was not statistically significant. Prior education level had a clear and consistent effect on the SRL ability in both countries: the distance learners from junior colleges had better planning, regulating and evaluating abilities than those who came from senior high schools. These results have been discussed in various contexts of distance/online education as well as in relation to different culture between China and Korea. The results will also have implications for designing distance and online learning generally.

• 한국멀티미디어학회논문지
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• 제21권11호
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• pp.1297-1304
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• 2018

Online education, commonly referred to as distance education, has developed rapidly. However, it is questionable whether such distance education has been applied to various educational fields and has achieved satisfactory results in terms of learning effect. One of the reasons for not maximizing the benefits of distance education is non-dynamicity in the production and application of educational content. Educational contents production is made up of collaborative work between the instructor who is the contents expert and the developer who is the production expert. For this reason, existing researches have also concentrated on the improvement of each educational effect. In this paper, we propose to replace a production expert from a developer to an instructor. At this time, the important point is that the educational contents produced by the instructor, who is a development non-expert, should still be able to be maintained with high-quality contents utilizing the characteristics of the web. For this purpose, the production system was developed based on open source to maintain the quality similar to the educational contents developed by the production expert. This will increase the effectiveness of education by applying the developed Smart-Blended Learning System to various educational sites.