• 제목/요약/키워드: science education video

검색결과 406건 처리시간 0.027초

Development of a Prototype System for the Optical-Video-Detection and Characterisation of Meteors/Fireballs in South Korea

  • Hinse, Tobias C.;Jeong, Woo Jung;Lee, Jae Keun;Woo, Sang Min;Park, Jun Hyeong;Lee, Young Woo;Kim, Woo Kyum
    • 천문학회보
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    • 제40권1호
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    • pp.62.2-63
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    • 2015
  • During a six-month period (autumn 2014 within the framework of a research & education project) we have constructed a professional double-station video-meteor detection network at the SOAO and BOAO mountain summits. Meteor detection is achieved by pixel-to-pixel motion-detection trigger. Each station is nearly autonomous and has three cameras with fixed viewing angles monitoring part of the night-sky over Korea. Various field of views are in use for testing purpose and captured video-meteor data is automatically transferred to a central FTP server on a nightly basis. Data is publicly available. The network has been operational since September 2014 and could serve as a prototype system for a more extended national network for meteor/fireball monitoring and detection in Korean airspace. We will report on the network construction, technical setup and present first results of detected meteors and fireballs. Further information: Meteors@KASI: http://meteor.kasi.re.kr.

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Statistical Profiles of Users' Interactions with Videos in Large Repositories: Mining of Khan Academy Repository

  • Yassine, Sahar;Kadry, Seifedine;Sicilia, Miguel Angel
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제14권5호
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    • pp.2101-2121
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    • 2020
  • The rapid growth of instructional videos repositories and their widespread use as a tool to support education have raised the need of studies to assess the quality of those educational resources and their impact on the quality of learning process that depends on them. Khan Academy (KA) repository is one of the prominent educational videos' repositories. It is famous and widely used by different types of learners, students and teachers. To better understand its characteristics and the impact of such repositories on education, we gathered a huge amount of KA data using its API and different web scraping techniques, then we analyzed them. This paper reports the first quantitative and descriptive analysis of Khan Academy repository (KA repository) of open video lessons. First, we described the structure of repository. Then, we demonstrated some analyses highlighting content-based growth and evolution. Those descriptive analyses spotted the main important findings in KA repository. Finally, we focused on users' interactions with video lessons. Those interactions consisted of questions and answers posted on videos. We developed interaction profiles for those videos based on the number of users' interactions. We conducted regression analysis and statistical tests to mine the relation between those profiles and some quality related proposed metrics. The results of analysis showed that all interaction profiles are highly affected by video length and reuse rate in different subjects. We believe that our study demonstrated in this paper provides valuable information in understanding the logic and the learning mechanism inside learning repositories, which can have major impacts on the education field in general, and particularly on the informal learning process and the instructional design process. This study can be considered as one of the first quantitative studies to shed the light on Khan Academy as an open educational resources (OER) repository. The results presented in this paper are crucial in understanding KA videos repository, its characteristics and its impact on education.

감시 비디오에서 등록 및 미등록 물체의 실시간 도난 탐지 (Realtime Theft Detection of Registered and Unregistered Objects in Surveillance Video)

  • 박혜승;박승철;주영복
    • 한국정보통신학회논문지
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    • 제24권10호
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    • pp.1262-1270
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    • 2020
  • 최근 관심이 높아지고 있는 스마트 감시 비디오에 관한 연구는 주로 침입자 탐지 및 추적과 유기 물체 탐지에 초점이 맞춰져 왔고, 도난 물체의 실시간 탐지에 대한 연구는 중요성에 비해 상대적으로 미흡한 상황이다. 본 논문은 스마트 감시 비디오 적용 환경을 고려하여 두 가지의 서로 다른 도난 물체 탐지 알고리즘을 제시한다. 먼저 이중 배경 차감 모델(dual background subtraction model)을 사용하여 사전에 정적 및 동적으로 등록된 감시 대상 물체의 도난을 탐지하는 알고리즘을 제시한다. 그리고 이중 배경 차감 모델과 Mask R-CNN 기반의 객체 세그멘테이션 기술을 통합적으로 적용하여 일반 감시 물체의 도난을 탐지하는 알고리즘을 제시한다. 전자의 알고리즘은 등록된 감시 물체를 대상으로 계산 능력이 높지 않은 환경에서 경제적인 도난 탐지 서비스를 제공할 수 있고, 후자의 알고리즘은 충분한 계산 능력을 제공할 수 있는 환경에서 보다 광범위한 일반 감시 물체의 도난 탐지에 적용할 수 있다.

예비교사와 경력교사의 과학 수업 관점 비교 (A Comparison of Viewpoints on the Science Lesson between Pre-service Teachers and Experienced Teachers)

  • 전영석;정하나
    • 한국초등과학교육학회지:초등과학교육
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    • 제36권1호
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    • pp.95-112
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    • 2017
  • The competence of teachers, comes out through their lesson, is one of the key factors of school education. The purpose of this study is comparing the viewpoints on the science lessons in the elementary classrooms between pre-service teachers and highly experienced teachers in order to draw implications on pre-service teacher educating system. The participants of the study are 14 junior students in a university of education and 9 elementary school teachers who are highly educated and have much career experience. Each student participant observed one video clip with science lesson of their classmate. The total number of the video subject to observation is 4. Meanwhile experienced teachers observed 1 or 2 videos which are the same to those the students watched. The participants made a class criticism according to the General Standards for Class Critique made by KICE. The in-depth analysis of the criticism yielded the following conclusions; First, pre-service teachers had narrow views on the science class mainly limited in the practical part of class, but experienced teachers had wide views covered to class-knowledge, plan, and practice. Second, most experienced teachers thought that learning is the process by which students acquire knowledge or concepts by themselves, and the main purpose of the class is to help students' learning. Meanwhile, there were many pre-service teachers who thought that conveying knowledge or concepts to students was the main purpose of the class. Third, experienced teachers thought that a good science class should maintain consistency around the learning goals from the planning, implementation, and evaluation. However, many pre-service teachers did not take the learning objectives so seriously.

4차 산업혁명 시대 예술·과학 융합 교육프로그램 설계 : 콘텐츠를 활용한 STEAM을 중심으로 (Art Science Convergence Curriculum Design in the 4th Industrial Revolution Era : Focusing on STEAM with Contents)

  • 박성원;이혜원
    • Journal of Information Technology Applications and Management
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    • 제28권1호
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    • pp.53-61
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    • 2021
  • The year 2020 was a time when the coronavirus infections-19 (COVID-19) caused various changes in society. In particular, the fields that have been conducted face-to-face have been greatly confused by the transition to an online non-face-to-face method, and this is the case with the field of education. There are two main advantages of offline education. The first is that we can improve our understanding through communication with teachers, and the second is that we can develop social skills through interaction with friends. But as online classes progressed due to corona 19, interaction could not be achieved. As a result, the motivation for learning has been reduced due to difficulties in real-time feedback, and the participation rate has been significantly lowered, especially in lower grades, raising concerns about the learning gap that will occur after corona 19. However, there are some cases in which online classes were conducted as effectively as offline classes by utilizing various contents. What they have in common is the use of content. Teachers generally improved the quality of education by linking interesting sights and videos that enhance learning comprehension. The provided video conveys learning-related content into stories, enabling intuitive observation. Many students were already enjoying these videos through VOD (Video on Demand) such as TV and YouTube, they were able to connect their easy access to content and interest in learning. Appropriate use of video content has rather increased the learning effect and should continue after corona 19. Therefore, it is necessary to study methodologies that apply video content efficiently to education. This study looked at the steps that needed content application through the development of education programs, and observed its meaning. Students were curious about the content, motivated to learn and participated in learning on their own. Intuitive learning, conducted through appreciation, play and content production, provided an opportunity to learn on their own in everyday life.

SimPad를 이용한 현장중심형 심폐소생술과 영상자가학습 심폐소생술의 질 비교 (A Comparison of Quality of SimPad based on Field Focus Type CPR and Video Self-lnstruction CPR)

  • 김예림
    • 디지털융복합연구
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    • 제17권7호
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    • pp.207-214
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    • 2019
  • 본 연구는 SimPad를 이용한 현장중심형 심폐소생술과 영상자가학습 심폐소생술의 질을 비교 분석하여 효과적인 심폐소생술 교육방법을 모색하고, 심폐소생술 교육의 기초자료로 제공하고자 시행하였다. 연구의 대상자 및 자료수집은 G광역시에 위치해 있는 G대학교의 심폐소생술 강의를 이수한 응급구조과 1학년 64명을 대상으로 2018년 11월 14일부터 2018년 12월 5일까지 시행하였으며, SPSS ver. 23.0을 이용하여 분석하였다. 연구결과, 현장중심형 심폐소생술이 영상자가학습 심폐소생술보다 CPR 총 점수, 압박점수, 압박깊이, 가슴압박율, 압박속도, 인공호흡점수, 총 호흡수 영역에서 심폐소생술 질이 더 높게 나타났다. 따라서 현장중심형 심폐소생술을 이용하여 교육법이 기존의 영상자가학습 심폐소생술 교육법보다 심폐소생술 질을 향상시키는 것으로 파악할 수 있었으며 향후 심폐소생술 교육의 기초자료로 활용할 수 있을 것으로 사료된다.

유비쿼터스 환경에서 적응력있는 화상 커뮤니티의 설계 (Design of an Adaptive Video-based Community in Ubiquitous Environment)

  • 성영훈;하석운;이재인
    • 정보교육학회논문지
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    • 제11권2호
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    • pp.243-249
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    • 2007
  • 학교들의 특색있는 교육활동이나, 교수 학습자료들이 다른 학교 홈페이지와의 연계기능이 없어 많은 자료들이 묻혀버리고 있는 실정이다. 따라서 본 연구는 유비쿼터스 환경에서 각 학교의 다양한 교육활동들을 효과적으로 홍보하고, 화상통신을 통해 소속되어 있는 학생들 간의 교육적 정보교류와 의사소통기능을 강화시켜 지역교육청의 교육정책수행 및 교육발전에 이바지할 수 있는 적응력있는 화상커뮤니티를 설계하였다. 제안된 시스템을 통해 각 학교간에 이루어지고있는 교육활동을 실시간으로 알 수 있어 교육발전을 도모할 수 있으리라 기대한다.

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영상 콘텐츠의 오디오 분석을 통한 메타데이터 자동 생성 방법 (Method of Automatically Generating Metadata through Audio Analysis of Video Content)

  • 용성중;박효경;유연휘;문일영
    • 한국항행학회논문지
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    • 제25권6호
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    • pp.557-561
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    • 2021
  • 영상 콘텐츠를 사용자에게 추천하기 위해서는 메타데이터가 필수적인 요소로 자리 잡고 있다. 하지만 이러한 메타데이터는 영상 콘텐츠 제공자에 의해 수동적으로 생성되고 있다. 본 논문에서는 기존 수동으로 직접 메타데이터를 입력하는 방식에서 자동으로 메타데이터를 생성하는 방법을 연구하였다. 기존 연구에서 감정 태그를 추출하는 방법에 추가로 영화 오디오를 통한 장르와 제작국가에 대한 메타데이터 자동 생성 방법에 대해 연구를 진행하였다. 전이학습 모델인 ResNet34 인공 신경망 모델을 이용하여 오디오의 스펙트로그램으로부터 장르를 추출하고, 영화 속 화자의 음성을 음성인식을 통해 언어를 감지하였다. 이를 통해 메타데이터를 생성 인공지능을 통해 자동 생성 가능성을 확인할 수 있었다.

Parallel Deblocking Filter Based on Modified Order of Accessing the Coding Tree Units for HEVC on Multicore Processor

  • Lei, Haiwei;Liu, Wenyi;Wang, Anhong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권3호
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    • pp.1684-1699
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    • 2017
  • The deblocking filter (DF) reduces blocking artifacts in encoded video sequences, and thereby significantly improves the subjective and objective quality of videos. Statistics show that the DF accounts for 5-18% of the total decoding time in high-efficiency video coding. Therefore, speeding up the DF will improve codec performance, especially for the decoder. In view of the rapid development of multicore technology, we propose a parallel DF scheme based on a modified order of accessing the coding tree units (CTUs) by analyzing the data dependencies between adjacent CTUs. This enables the DF to run in parallel, providing accelerated performance and more flexibility in the degree of parallelism, as well as finer parallel granularity. We additionally solve the problems of variable privatization and thread synchronization in the parallelization of the DF. Finally, the DF module is parallelized based on the HM16.1 reference software using OpenMP technology. The acceleration performance is experimentally tested under various numbers of cores, and the results show that the proposed scheme is very effective at speeding up the DF.

First Year Undergraduate Students' Difficulties with Ball-and-stick Molecular Models

  • Chue, Shien;Kim, Chwee;Tan, Daniel
    • 한국과학교육학회지
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    • 제27권6호
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    • pp.477-487
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    • 2007
  • Previous studies show that students have difficulties in understanding and using molecular visualization tools. This study focuses on the ways in which first year chemistry undergraduates use ball-and-stick molecular models to explain the concept of addition reaction and the difficulties that they face using the models. Video recordings of interviews with undergraduates manipulating ball-and-stick models to solve problems related to reaction mechanisms are analysed to determine if they are able to elucidate their understanding with use of models. The results showed that students have difficulties with viewing the ball-and-stick models from the proper perspective and understanding the relationship between the various structures that they have created using the models. They also find the use of ball-and-stick models tedious and prefer drawing molecular structures on paper to explain their ideas. Implications for the teaching using ball-and-stick molecular models are discussed.