• Title/Summary/Keyword: 컬

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Physical Computing Learning Model for Information and Communication Education (정보통신기술 교육을 위한 피지컬 컴퓨팅 학습모델)

  • Lee, Yong-Jin
    • Journal of Internet of Things and Convergence
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    • v.2 no.3
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    • pp.1-6
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    • 2016
  • This paper aims to present the physical computing learning model applicable in teaching the information and communication technology for technology and engineering education. This model is based on the physical computing and deals with the information creation and information transfer in one framework, thus provides students with the total understanding and practice opportunity about information and communication. The proposed learning models are classified into the client-server based model and the web based model. In the implemented learning model, the acquirement and control of information is performed by sketch on Arduino and the communication of information is performed by the Python socket on Raspberry Pi well known as an education platform. Our proposed learning model can be used for teaching students to understand the concept of Internet of Things (IoT), which provides us with world wide control and communication of information.

Development of the Evaluation Criteria of the Physical Computing Based Learning Tools for SW Education in the 2015 Revised National Curriculum for Elementary Education (2015 개정 초등 교육과정의 SW교육을 위한 피지컬 컴퓨팅 기반 교구 평가 준거 개발)

  • Jeon, HyeongKi;Kim, Yungsik
    • The Journal of Korean Association of Computer Education
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    • v.21 no.5
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    • pp.37-48
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    • 2018
  • The 2015 revised national curriculum includes SW courses to improve computational thinking, and a variety of physical computing tools for learning are on sale for use in education. The purpose of this study is to provide a basis for selecting physical computing tool for learning suitable for learning situations and learning purposes, and to provide a reasonable basis for judging the choice of tools in the field. Delphi survey method was used as a reference method for developing evaluation criteria through 25 expert panels. As a result, the criterion of evaluation of the learning tool composed of 40 essential and 11 selection criteria for 7 domains was presented. In addition, the evaluation results of five kinds of learning tools commercialized through the evaluation criteria of the learning tool were analyzed. The evaluation criteria for the learning tools developed through this study are expected to help teachers select rational learning tools and help learning tool developers develop learning tools.

Creative Place-making for Regional Development in the Era of Glocalization (글로컬라이제이션과 지역발전을 위한 창조적 장소만들기)

  • Lee, Byung Min;Nahm, Kee Bom
    • Journal of the Korean Geographical Society
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    • v.51 no.3
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    • pp.421-439
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    • 2016
  • Global society is shifting and now evolving towards glocalization, meaning the increasing role of region and multi scalar interactions between region and global social world. In this glocalization era, there has been mushrooming literature and much discussions on the impacts of place-branding and place-marketing on regional development both in academia and practical researches. The inclusive and participatory creative place-making process, however, is more quintessential than the resultant place marketing strategy. This paper tries to reassess the creative place-making based on culture-led regional development perspectives. Specifically it compares Korea and Japan's strategies and suggests a hybrid model of place-making-branding-marketing, utilizing cultural content industries. It then stresses the importance of building a virtuous circle of sustainable regional cultural industrial ecosystem including culture-based interpretation of places and improvement of community quality of life.

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Multiple Asynchronous Requests on a Client-based Mashup Page (클라이언트 기반 매시업 페이지에서 다중 비동기 서비스 호출)

  • Lee, Eun-Jung
    • The KIPS Transactions:PartD
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    • v.17D no.1
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    • pp.9-16
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    • 2010
  • Web service mashup bacomes one of the important web application development methods. This paper considers a client based mashup, where a page interfaces many service methods asynchronously. Browser systems execute callbacks when the corresponding reply arrives, possibly concurrent to user interface actions. In this case, callbacks and user interface actions share data memory and screen. Moreover, when the user is able to send another request before the previous ones have replied, the shared resource problem becomes more complicated. In order to solve the multiple requests problem, our contributions are as follows. First, we modeled a mashup page with user actions and callbacks, and we presented several types of callbacks. Secondly, concurrency condition is defined between callbacks and user actions in terms of shared resources, and the test method is presented. Also, we proposed the serialization approach to guarantee the safe execution of callbacks. Finally, we applied the proposed concurrency condition on XForms language and extended the XForms browser to implement the proposed approach. The prototype implementation showed that the proposed approach helps enhancing user experience on mashup pages.

A Case Study of Artificial Intelligence Education Course for Graduate School of Education (교육대학원에서의 인공지능 교과목 운영 사례)

  • Han, Kyujung
    • Journal of The Korean Association of Information Education
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    • v.25 no.5
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    • pp.673-681
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    • 2021
  • This study is a case study of artificial intelligence education subjects in the graduate school of education. The main educational contents consisted of understanding and practice of machine learning, data analysis, actual artificial intelligence using Entries, artificial intelligence and physical computing. As a result of the survey on the educational effect after the application of the curriculum, it was found that the students preferred the use of the Entry AI block and the use of the Blacksmith board as a physical computing tool as the priority applied to the elementary education field. In addition, the data analysis area is effective in linking math data and graph education. As a physical computing tool, Husky Lens is useful for scalability by using image processing functions for self-driving car maker education. Suggestions for desirable AI education include training courses by level and reinforcement of data collection and analysis education.

A Study on the Korean-Stroke based Graphical Password Approach (한국어 획 기반 그래피컬 패스워드 기법에 관한 연구)

  • Ko, Tae-Hyoung;Shon, Tae-Shik;Hong, Man-Pyo
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.22 no.2
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    • pp.189-200
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    • 2012
  • With increasing the number of smart device such as Tablet PC, smart phone and netbook, information security which based on smart device in mobile environment have become the issue. It is important to enter a password safety. In various types of mobile devices, because of hardware limitation of device, it is difficult that to equip secondary input device such as keyboard and mouse. Also, a loss of accuracy becomes a problem because input information was entered by touch screen. Because of problem mentioned above it can be predicted to change password scheme text based password scheme to graphical password scheme, graphical password scheme is easy to use and is resistant to shoulder surfing attack. So this paper proposes new graphical password scheme based 5 strokes which are made by decomposed the Korean to defend against shoulder surfing attack.

Effect of Software Education Based on Physical Computing on Elementary School Student' Computational Thinking (피지컬 컴퓨팅 기반 소프트웨어 교육이 초등학생의 컴퓨팅 사고력에 미치는 영향)

  • Kim, SungJoon;Hur, Kyeong
    • 한국정보교육학회:학술대회논문집
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    • 2021.08a
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    • pp.131-139
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    • 2021
  • In the newly revised curriculum, it is aimed to raise student who has creativity and convergence ability with computational thinking. Based on the analysis of revised curriculum including software education in elementary school, this study proposed educational program that can be applied in actual school field, considering various factors. This educational program using Bitbrick was conducted by 50 students in fifth grade that consist of 23 students in Seoul and 27 students in Gyeonggido during five weeks in 17 periods. The purpose of this study is to verify the effect of application of software education program in terms of computational thinking ability and problem solving ability. The effect was verified after comparing the result of pre-test and post-test through T-test. So, this study obtained improvement of computational thinking and problem solving ability.

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A Case Study of Artificial Intelligence Education for Graduate School of Education (교육 대학원에서의 인공지능 교육 사례)

  • Han, Kyujung
    • 한국정보교육학회:학술대회논문집
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    • 2021.08a
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    • pp.401-409
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    • 2021
  • This study is a case study of artificial intelligence education subjects in the graduate school of education. The main educational contents consisted of understanding and practice of machine learning, data analysis, actual artificial intelligence using Entries, artificial intelligence and physical computing. As a result of the survey on the educational effect after the application of the curriculum, it was found that the students preferred the use of the Entry AI block and the use of the Blacksmith board as a physical computing tool as the priority applied to the elementary education field. In addition, the data analysis area is effective in linking math data and graph education. As a physical computing tool, Husky Lens is useful for scalability by using image processing functions for self-driving car maker education. Suggestions for desirable AI education include training courses by level and reinforcement of data collection and analysis education.

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New RF Empirical Nonlinear Modeling for Nano-Scale Bulk MOSFET (나노 스케일 벌크 MOSFET을 위한 새로운 RF 엠피리컬 비선형 모델링)

  • Lee, Seong-Hearn
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.43 no.12 s.354
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    • pp.33-39
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    • 2006
  • An empirical nonlinear model with intrinsic nonlinear elements has been newly developed to predict the RF nonlinear characteristics of nano-scale bulk MOSFET accurately over the wide bias range. Using an extraction method suitable for nano-scale MOSFET, the bias-dependent data of intrinsic model parameters have been accurately obtained from measured S-parameters. The intrinsic nonlinear capacitance and drain current equations have been empirically obtained through 3-dimensional curve-fitting to their bias-dependent curves. The modeled S-parameters of 60nm MOSFET have good agreements with measured ones up to 20GHz in the wide bias range, verifying the accuracy of the nano-scale MOSFET model.