• Journal of the Korea Convergence Society
• /
• v.12 no.10
• /
• pp.203-210
• /
• 2021

This study was conducted to develop a convergence education program using smart farms with both input data(temperature, humidity, etc.) and output data(vegetables, fruits, etc.) that are easily accessible in everyday life so that elementary school students can intuitively and easily understand the principles of artificial intelligence(AI) learning. In order to develop this program, we conducted a prior study analysis of a horticulture, software, robot units in the 2015 Practical Arts curriculum and artificial intelligence education. Based on this, 13 components and 16 achievement criteria were selected, and AI programs of 4 sessions(a total of 8 hours). This program can be used as a reference when developing various teaching materials for artificial intelligence education in the future.

• Journal of The Geomorphological Association of Korea
• /
• v.26 no.1
• /
• pp.79-91
• /
• 2019

This study analyzed the distribution of fluvial landforms, fault-related geomorphic features and lineaments around the area of Ungchon-Ungsang in the Dongrae Fault, and discusses the charateristics of geomorphic development based on those. As a result, the NE-SW lineaments are predominantly developed in many numbers within the study area, and the NW-SE or N-S secondary lineaments are developed induced by multiple deformation with the Yangsan Fault. Geomorphologically, the early tectonic history of the Ungchon-Ungsang basin is largely divided into three stages ; 1) the Tertiary fault activity and formation of fracture zone, 2) development of erosional basin, 3) local crustal movements and development of fault-related topography. It is assumed that alluvial fans, deflected channel and stream piracy were formed by local tectonic movements related to faultings during the Quaternary.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.14 no.9
• /
• pp.3924-3940
• /
• 2020

Dynamic hand gesture recognition(d-HGR) plays an important role in human-computer interaction(HCI) system. With the growth of hand-pose estimation as well as 3D depth sensors, depth, and the hand-skeleton dataset is proposed to bring much research in depth and 3D hand skeleton approaches. However, it is still a challenging problem due to the low resolution, higher complexity, and self-occlusion. In this paper, we propose a hand-shape feature extraction(HSFE) network to produce robust hand-shapes. We build a hand-shape model, and hand-skeleton based on LSTM to exploit the temporal information from hand-shape and motion changes. Fusion between two models brings the best accuracy in dynamic hand gesture (DHG) dataset.

• Journal of the Korean Applied Science and Technology
• /
• v.29 no.3
• /
• pp.443-449
• /
• 2012

A investigation of electrochemical analysis of antibiotics Neomycin ($C_{23}H_{46}N_6O_{13}$) was searched using electrochemical square wave (SW) stripping and cyclic voltammetry (CV) using working sensor of the modified carbon nanotube combination electrodes, optimum diagnostic parameters were searched by anodic stripping, final conditions were attained to working range of 1.0-14.0 ng/L, detection limit (S/N) was found to be 0.6 ng/L. The developed method was discovered to be fitting in quality control in the food, pharmaceutical and other manufacturing sectors.

• Journal of Integrative Natural Science
• /
• v.12 no.4
• /
• pp.105-115
• /
• 2019

In this paper, a prediction system is proposed to control the brightness of smart street lamps by predicting the moving path through the reduction of consumption power and information of pedestrian's past moving direction while meeting the function of existing smart street lamps. The brightness of smart street lamps is adjusted by utilizing the walk tracking vector and soft hand-off characteristics obtained through the motion sensing sensor of smart street lamps. In addition, the motion vector is used to analyze and predict the pedestrian path, and the GPU is used for high-speed computation. Pedestrians were detected using adaptive Gaussian mixing, weighted difference imaging, and motion vectors, and motions of pedestrians were analyzed using the extracted motion vectors. The preprocessing process using linear interpolation is performed to improve the performance of the proposed prediction system. Fuzzy prediction system and neural network prediction system are designed in parallel to improve efficiency and rough set is used for error correction.

• Journal of Environmental Science International
• /
• v.15 no.11
• /
• pp.997-1002
• /
• 2006

This report presents a voltammetric assay of dinitrotoluene using a DNA immobilized onto a carbon nanotube paste electrode (PE). The cyclic voltammetry (CV) and square wave (SW) stripping voltammetry parameters of the optimized conditions were obtained. An anodic peak current appeared at 0.3 V (versus Ag/AgCl) in a 0.1-M $NH_4H_2PO_4$ electrolyte solution. The detection limit was found to be $0.6ngL^{-1}$(S/N = 10), within a deposition time of 100 sec.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2003.11c
• /
• pp.1587-1590
• /
• 2003

웹 정보시스템 개발에 있어 사용자 요구사항이 복잡하고 다양해짐에 따라 웹 정보시스템 개발에 SE 기술을 접목하는 연구가 시도되고 있다. 그러나 아직 웹 기반 소프트웨어공학을 대학의 교육과정에 도입하는 경우는 없다. 본 논문에서는 웹 정보시스템의 개발 및 운영에 대한 핵심 소프트웨어공학 기법을 교육함에 있어서 중요하고 시급한 주제, 네 가지를 제안하려 한다. 첫 번째는 웹 기술과 컴포넌트 기술을 적용한 소프트웨어 아키텍처이고, 두 번째는 웹 효과적인 웹 응용 개발을 위한 디자인 패턴이며, 세 번째는 웹기반 SW 테스팅의 계획수립 및 테스트 수행 기법이고 마지막으로 웹서비스 기술과 적용 사례가 교육되어야 할 것으로 보인다.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2019.10a
• /
• pp.965-967
• /
• 2019

현재에는 다양한 교육 서비스, 자료, 기구가 개발되어 산재되어 있다. 그래서 학생에 맞는 맞춤형 교육으로 학생들의 적성, 진로에 관한 안목을 높이고, 교육의 질을 높이는 것이 중요하다. 기존의 교육 플랫폼은 교육 프로그램 및 교구 자료들이 여러 곳에 분산되어 있어 자료 선택이 어렵다. 이를 해결하기 위하여 맞춤형 교육 서비스 자료, 기구 등을 선생님(사용자)들에게 추천하는 메커니즘을 제안한다. 본 새로운 플랫폼에서 CNN 알고리즘을 통해 학급, 학생들에게 맞는 추천 컨텐츠를 제공한다. 이 메커니즘을 통해 자료 선택에 도움을 주어 교육의 질을 높이고자 한다.

• Journal of Korea Multimedia Society
• /
• v.22 no.2
• /
• pp.250-259
• /
• 2019

Big data processing technology and artificial intelligence (AI) are increasingly attracting attention. Natural language processing is an important research area of artificial intelligence. In this paper, we use Korean news articles to extract topic distributions in documents and word distribution vectors in topics through LDA-based Topic Modeling. Then, we use Word2vec to vector words, and generate a weight matrix to derive the relevance SCORE considering the semantic relationship between the words. We propose a way to recommend documents in order of high score.

• Journal of Integrative Natural Science
• /
• v.12 no.1
• /
• pp.1-8
• /
• 2019

Smart pole is one of mega trend in smart city development. It has multi-function to get as much as data from the street to better city management. And smart street lighting of smart pole as core part of smart city development is being implemented by many cities in globally. Refer to the latest edition of Navigant Research's Smart City Tracker includes smart city projects in 221 cities, a quarter of which are deploying smart street lighting ranging from initial pilots to citywide and regional deployments that span tens and even hundreds of thousands of lights. The most important feature of smart street lighting solution is "Connectivity" through the IoT technology. In order to implement the smart city, we should have so-called intelligent watchdog and mesh networked post for keeping the various smart city technology development progress and operation properly. Smart street lighting solution could be main infrastructure as an enabler for a range of smart city applications. We can talk about the expected role of smart street lighting for the smart city development on this paper.