• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.10C
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• pp.787-797
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• 2008

In this paper, we propose a fast disparity estimation method considering temporal and spatial redundancy based on a dynamic programming for stereo matching. For the first step, the dynamic programming is performed to estimate disparity vectors with correlation between neighboring pixels in an image. Next, we efficiently compensate regions, which disparity vectors are not allocated, with neighboring disparity vectors assuming that disparity vectors in same object are quite similar. Moreover, in case of video sequence, we can decrease a complexity with temporal redundancy between neighboring frames. For performance comparison, we generate an intermediate-view image using the estimated disparity vector. Test results show that the proposed algorithm gives $0.8{\sim}2.4dB$-increased PSNR(peak signal to noise ratio) compared to a conventional block matching algorithm, and the proposed algorithm also gives approximately 0.1dB-increased PSNR and $48{\sim}68%$-lower complexity compared to the disparity estimation method based on general dynamic programming.

• Journal of the Korea Society of Computer and Information
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• v.25 no.5
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• pp.229-241
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• 2020

In this study, we developed a test tool to measure the computational thinking ability of middle school students and investigated their computational thinking power using the tool. The test tool used exploratory factor analysis to examine the computational thinking scales of Korkmaz et al. (2017) and derive suitable factors and questions for middle school students in Korea. The developed test tool was applied to 492 middle school students to analyze differences in computational thinking ability according to gender, grade, programming experience, type of programming language, and interest. According to the study, male Korean middle school students had higher computing power than females. In addition, students who had programming experience or used text-based rather than block-based programming languages demonstrated higher computational thinking. There was no significant difference in the computational thinking of middle school students according to grade, and the level of interest in artificial intelligence only had a slight influence on computational thinking.

• Journal of The Korean Association of Information Education
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• v.19 no.4
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• pp.533-544
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• 2015

In this study, the direction for hierarchical curriculum organization about software education in Korea was suggested in terms of overall execution of software education. The international case studies especially was conducted in order to suggest the propel educational programming language for level of students in the programming activity. In terms of the international case studies, the type of programming language was examined, which is suggested to each school level as a part of required regular curriculum. Then, the direction was supposed to suggest the instructional system organization of software education for Korea through the result of case studies. The results of case studies indicated that elementary school use the block based programming language, and text based programming languages are used from middle school.

• International journal of advanced smart convergence
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• v.8 no.4
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• pp.113-120
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• 2019

Recently, the artificial intelligence(AI) is used in various environments in life, and research on this is being actively conducted in education. In this paper, we designed a Design-Based Research(DBR)-based AI programming education program and analyzed the application of the program for the improvement of understanding of AI in elementary school. In the artificial intelligence education program in elementary school, we should considerthat itshould be used in conjunction with software education through programming activities, rather than creating interest through simple AI experiences. The designed education program reflects the collaborative problem-solving procedures following the DBR process of analysis - design - execution - redesign, allowing the real-world problem-solving activities using AI experiences and block-type programming language. This paper also examined the examples of education programs to improve understanding of AI by using Machine Learning for Kids and to draw implications for developing and operating such a program.

• Proceedings of the KIEE Conference
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• 1996.07b
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• pp.1263-1265
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• 1996

IEC1131-3 Specification of Programming Controller is established in 1994 and consists of 3 graphical languages and 2 textual languages. It is used in PLC and small scale controller because of its uniformity and extensibility. This paper describes Soft Logic Designer which is a graphical and textual programming editor for IEC1131-3 programming languages. Soft Logic Designer is developed with Object Orient Language, C++ under Microsoft Windows 95. It has two graphic editors for Sequential Function Chart and Function Block Diagram and one textual editor for Structured Text. Users can efficiently write high-level programs with mouse and menu buttons.

• Journal of The Korean Association of Information Education
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• v.23 no.4
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• pp.355-362
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• 2019

Elementary students are studying software training to teach coding education using text-based languages such as Python. In general, these higher-level languages support learning activities in combination with a kits for physical computing or various programming languages, in contrast to block-coding programming languages. In this study, we conducted a coding project based on computational thinking using the ARCS model to overcome the difficulties of text-based language. The results of the experiment show that students are generally confident and interested in programming. Especially, the understanding of repetition, function, and object was high in the change of computational thinking power, so this trend is believed to be due to the use of text-based languages and the Python module.

• Journal of Practical Engineering Education
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• v.16 no.2
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• pp.151-157
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• 2024

Most of the existing game-based education programmes for lower grades are simple block-coding studies, and there is a lack of examples of programming-intensive classes. In this study, we implemented a Minecraft-based Python coding fundamentals class for 3 classes at a local elementary school during a 2-week school holiday. The learning programme was reorganised from the standard learning programme on the official website, such as building quests through LAN-PARTY and self-scripting in-game, to improve class interest and motivation. In addition, we analysed the satisfaction and preferences of the class topics through a survey, and obtained meaningful results for future educational program development. This study is significant as a basic research for the design and development of game-based educational programmes for all age groups.

• Proceedings of The KACE
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• 2018.01a
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• pp.29-31
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• 2018

프로그래밍 언어 교육에서 일반적으로 학습자들은 블록 기반 프로그래밍 언어에서 텍스트 기반 프로그래밍 언어 순서로 학습한다. 블록 기반 프로그래밍 언어나 텍스트 기반 프로그래밍 언어는 여타의 프로그래밍 언어들과 마찬가지로 프로그래밍의 기본 논리는 동일하나, 형태, 언어적 특성 및 사용 등에 대하여 다소 차이가 있다. 따라서 본 연구에서는 학습자들의 블록 기반 프로그래밍 언어에서 텍스트 기반 프로그래밍 언어로의 유연한 학습 전이를 돕기 위한 프로그램의 설계 방안을 선행 조직자의 제시, 학습 콘텐츠의 체계화, 단순하고 직관적인 화면 구성으로 제시하였다.

• Journal of the Korean Institute of Telematics and Electronics A
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• v.30A no.3
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• pp.67-75
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• 1993

In many practical applications of systolic array, it is common that the problem size(n) is larger than the array size(M). In this case, the problem has to be partitioned into block to fit into the array before it is processed. This paper presents a problem partition method for dynamic programming and 2-dimensional systolic array suitable for it. Designed array has two types of array configur-ation for processing the partitioned problem. The queue is designed for storing and recirculating the intermediate results in the correct location and time. The number of processing elements and queues required are M(3M+1)/2, 4M respectively. The total processing time is 2(M+1)+(n+10M+3)(n/M-1)(n/M-1)/6.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.297-298
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• 2020

본 논문에서는 머신러닝 학습에 있어 데이터 전처리의 중요성과 기존 데이터 전처리 기능을 가진 교육용 실습 플랫폼 서비스의 단점은 개선할 수 있는 데이터 전처리 학습을 위한 교육용 블록코딩 기반 실습 플랫폼을 제안한다. 머신러닝 모델의 학습데이터는 데이터 전처리에 따라 모델의 정확도에 큰 영향을 미치므로 데이터를 다양하게 활용하기 위해서는 전처리의 필요성을 깨닫고 과정을 정확하게 이해해야 한다. 따라서 데이터를 처리하는 과정을 이해하고 전처리를 직접 실행해 볼 수 있는 교육용 프로그래밍 언어 기반 D.I.Y 실습 플랫폼을 구현한다.