• ETRI Journal
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• v.41 no.4
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• pp.437-451
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• 2019

Outlier detection techniques play an important role in enhancing the reliability of data communication in wireless sensor networks (WSNs). Considering the importance of outlier detection in WSNs, many outlier detection techniques have been proposed. Unfortunately, most of these techniques still have some potential limitations, that is, (a) high rate of false positives, (b) high time complexity, and (c) failure to detect outliers online. Moreover, these approaches mainly focus on either temporal outliers or spatial outliers. Therefore, this paper aims to introduce novel algorithms that successfully detect both temporal outliers and spatial outliers. Our contributions are twofold: (i) modifying the Hampel Identifier (HI) algorithm to achieve high accuracy identification rate in temporal outlier detection, (ii) combining the Gaussian process (GP) model and graph-based outlier detection technique to improve the performance of the algorithm in spatial outlier detection. The results demonstrate that our techniques outperform the state-of-the-art methods in terms of accuracy and work well with various data types.

• Advances in aircraft and spacecraft science
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• v.9 no.1
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• pp.1-15
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• 2022

This paper presents calibration of flush air data sensing systems during ascent period of a satellite launch vehicle. Aerodynamic results are numerically computed by solving three-dimensional time dependent compressible Euler equations over a payload shroud of a satellite launch vehicle. The flush air data system consists of four pressure ports flushed on a blunt-cone section of the payload shroud and connected to on board differential pressure transducers. The inverse algorithm uses calibration charts which are based on computed and measured data. A controlled random search method coupled with neural network technique is employed to estimate pitch and yaw angles from measured transient differential pressure history. The algorithm predicts the flow direction stepwise with the function of flight Mach numbers and can be termed as an online method. Flow direction of the launch vehicle is compared with the reconstructed trajectory data. The estimated values of the flow direction are in good agreement with them.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2020.11a
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• pp.121-122
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• 2020

Universities that offer architectural engineering programs in Korea are making efforts to introduce innovation teaching methods to cultivate teamwork, creativity, flexibility of thought and practical skills needed for the Fourth Industrial Revolution. However, there is a lack of specific measures to support them. In this regard, this study investigated a method of application development for building construction courses applied with the innovation teaching methods. It mainly focused on 'improvement directions for existing learning management systems' and 'online learning support plans using the innovation teaching method' as research contents. It is expected that these improvement directions can be applied to the field of education through the development of mobile and web-based applications. In the follow-up research, the development of specific software for field application will be carried out.

• Proceedings of the Korea Contents Association Conference
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• 2011.05a
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• pp.225-226
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• 2011

인터넷 활용 보급과 초고속 통신망의 확대는 능동적 학습, 상호작용적 학습, 협력학습 등의 원리들을 구현할 수 있다는 점에서 그 교육적 가치는 매우 높다. 즉, 개방적이며 상호작용적인 특성을 지니는 교육 체제로의 변화와 함께 우리들의 학습에 융합시킬 수 있는 컨텐츠가 필요하다. 본 연구의 목적은 학습자 중심의 자기주도적 공학교육 컨텐츠 개발에 대한 실질적인 방법을 제시하고자 한다. 교육 패러다임의 변화로 인하여 온 오프라인 컨텐츠의 활용이 높아지고 있으며 온라인학습을 통한 교수학습의 용이성과 오프라인을 통한 직접적 학습 피드백, 팀플레이 자료구성 및 발표 등의 컨텐츠가 추가적으로 필요하다. 또한, 기본적인 공학교육에 바탕하여 최신 정보에 대해 주도적이며 자발적인 학습과정을 통해 알아보고 그 정보의 분석과 발표를 통하여 효율적인 학습효과를 얻을 수 있다. 결론적으로, 정부에서의 국내 공학교육의 재정적인 지원 및 공학교육에 대한 대학 간의 교류를 더 마련해야하며 꾸준한 지원 및 교수학습의 방법과 전략에 대한 세부적인 연구와 개발이 필요하다고 본다.

• Journal of information and communication convergence engineering
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• v.9 no.1
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• pp.1-5
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• 2011

Everyday, technology is evolved in many different disciplines. Computer and smart devices revolution take part of the evolved technology that continuously promising new features. Moreover, social networks services recently become widely popular, which most people in the world become a social-network-fond. In addition to the revolution of the evolved technology and social networks services, ubiquitousness is taking significant part in our daily lives. Although, there are many e-learning systems already existed, which use Internet technology along with a Web technology to provide education in various ways, in despite of that, there is no such existing system exploits the usefulness of smart devices along with the legacy of the online social networks besides the power of the ubiquitous computing technology. Therefore, we propose a smart device application, which fills the gap that has been missing in the recent contemporary era. It is an application that runs on smart devices particularly Smartphone devices; we call our system “Smart Device based Social E-learning System(SDES)”. We have preliminary implemented our system on Android OS. In this paper, we intentionally propose the system in order to ease the way people learn, to provide interactive accessibility in our system, and to utilize the advanced technology more wisely.

• Proceedings of the KIEE Conference
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• 2003.07d
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• pp.2540-2542
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• 2003

This paper presents an internet-based self-learning educational system which can be enhancing efficiency in the learning process of Java language. The proposed self-learning educational system is called Java Web Player(JWP), which is a Java application program and is executable through Java Web Start technologies. In this paper, three important sequential learning processes : concept learning process, programming practice process and assessment process are integrated in the proposed JWP using Java Web Start technologies. This JWP enables the learners to achieve efficient and interesting self-learning since the learning process is designed to enhance the multimedia capabilities on the basis of educational technologies. Also, online voice presentation and its related texts together with moving images are synchronized for efficient language learning process. Furthermore, a simple/useful compiler is included in the JWP for providing language practice environment such as coding, editing, executing and debugging Java source files. Finally repeated practice can make the learners to understand easily the key concepts of Java language. Simple multiple choices are given suddenly to the learners while they are studying through the JWP and the test results are displayed on the message box.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.284-286
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• 2021

With the continuous development of the Internet and digital, platforms are emerging to store large amounts of media data and provide customized services to individuals through online. Companies that provide these services recommend movies that suit their personal tastes to promote media consumption. Each company is doing a lot of research on various algorithms to recommend media that users prefer. Movies are divided into genres such as action, melodrama, horror, and drama, and the film's audio (music, sound effect, voice) is an important production element that makes up the film. In this research, based on movie trailers, we extract audio for each genre, check the commonalities of audio for each genre, distinguish movie genres through supervised learning of artificial intelligence, and propose a utilization method for generating metadata in the future.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.329-332
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• 2022

This study aims to identify problems with existing e-learning content and non-face-to-face class methods, improve students' concentration, improve class achievement and educational effectiveness, and propose an artificial intelligence class system design using a web server. By using the function of face and eye tracking using OpenCV to identify attendance and concentration, and by inducing feedback through voice or message to questions asked by the instructor in the middle of class, learners relieve boredom caused by online classes and test by runner If the score is not reached, we propose an artificial intelligence education program system design that can bridge the academic gap and improve academic achievement by providing educational materials and videos for the wrong problem.

• Journal of The Korean Association For Science Education
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• v.36 no.4
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• pp.669-679
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• 2016

The purpose of this study is to investigate the current status of STEAM (Science, Technology, Engineering, Arts, and Mathematics) education in schools by asking a variety of questions including "why and how often they implement STEAM education." This study conducted an online survey on 11,526 elementary, middle, and high schools in South Korea, with the response rate being 56.8% (N = 6,473). To highlight key findings, first, our descriptive analyses suggested that if those that did not respond to the survey were assumed not to have implemented STEAM education, approximately 27.1% (N = 3,127) of all schools in South Korea were believed to have implemented STEAM at best. The highest rate of implementation of STEAM education was found in elementary schools (30.8%), followed by middle (27.4%) and high (17.5%) schools. Second, in contrast with the result for the rate of implementation of STEAM education, high schools showed the highest level of satisfaction. Third, the most important reason for implementing STEAM education within a school was found to be teachers' voluntary efforts or intrinsic motives, followed by support from the provincial office of education. Fourth, the most important reason for not implementing STEAM education was found to be the lack of consensus among teachers. Together, findings highlight the importance of the role of teachers in implementing STEAM education. Offered are policy implications for the better implementation of STEAM education.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.3
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• pp.339-345
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• 2021

With the development of online education due to COVID-19, the EduTech market, which combines new technologies such as AI and AR/VR in education is rapidly growing. In addition, the children's industry is steadily growing despite the decreasing birth rate every year as more and more families with one child per household are investing in their children. However, supply of contents to EduTech market is slow compared to demands that are increasing. Therefore, the purpose of this paper is to help solve these problems by developing and supporting AR kids contents with convenience, practicality, and efficiency using AR technology. AR content for supporting vocabulary learning for infants is not just an end to watching and listening, but an observation-driven model that can manipulate content directly, which attracts children's interest and helps children learn words. This paper is intended for infants from 15 months to 36 months old when full-fledged language development occurs.