• Title/Summary/Keyword: Smart Education Environment

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Multimedia Application and Ubiquitous English Education Environment (멀티미디어 기기 활용과 유비쿼터스 영어 교육환경)

  • Choi, Michelle Mi-Hee
    • Journal of Digital Contents Society
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    • v.13 no.3
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    • pp.393-399
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    • 2012
  • New and creative skills must be developed, and adapted into a lesson, to motivate learners to acquire a second language easily and enjoyment, Multimedia tools which are of interest to learners, such as; smart phones, computers, and notebooks with wireless internet compatability, will provide learners opportunities to study, and do their work practically anywhere and anytime. Recently, podcasts, which are a type of digital media, consisting of a series of audio episodes or video files, subscribed to and downloaded through web syndication, or streamed online to a computer or mobile device, are used to facilitate ESL (English as a Second Language) learning. Development of a variety of teaching methods, using multimedia tools, is needed. There are advantages and disadvantages to using a variety of multimedia tools. The current research aims to study its characteristics and application, in order to maximize their effective use, in English education. The current study suggests a ubiquitous learning environment using multimedia content tools, internet media, video teleconferencing, cyber-learning, and one-to-one videos used in conjunction with, or as a digital textbook for the English lesson. This study also investigates future educational changes, using state-of-the-art equipment for the self-learning experience, and will present a new direction in English education, through a variety of instructional devices and a marginalized class system model.

Analysis of Effect on Pesticide Drift Reduction of Prevention Plants Using Spray Drift Tunnel (비산 챔버를 활용한 차단 식물의 비산 저감 효과 분석)

  • Jinseon Park;Se-Yeon Lee;Lak-Yeong Choi;Se-woon Hong
    • Journal of Bio-Environment Control
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    • v.32 no.2
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    • pp.106-114
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    • 2023
  • With rising concerns about pesticide spray drift by aerial application, this study attempt to evaluate aerodynamic property and collection efficiency of spray drift according to the leaf area index (LAI) of crop for preventing undesirable pesticide contamination by the spray-drift tunnel experiment. The collection efficiency of the plant with 'Low' LAI was measured at 16.13% at a wind speed of 1 m·s-1. As the wind speed increased to 2 m·s-1, the collection efficiency of plant with the same LAI level increased 1.80 times higher to 29.06%. For the 'Medium' level LAI, the collection efficiency was 24.42% and 43.06% at wind speed of 1 m·s-1 and 2 m·s-1, respectively. For the 'High' level LAI, it also increased 1.24 times higher as the wind speed increased. The measured results indicated that the collection of spray droplets by leaves were increased with LAI and wind speed. This also implied that dense leaves would have more advantages for preventing the drift of airborne spray droplets. Aerodynamic properties also tended to increase as the LAI increased, and the regression analysis of quadric equation and power law equation showed high explanatory of 0.96-0.99.

Online Learning Platform Activation Strategy based on STEP Learner Analysis and Survey (STEP 학습자분석 및 실태조사에 기반한 온라인 학습 플랫폼 활성화 방안)

  • Myung, Jae Kyu;Park, Min-Ju;Min, Jun-Ki;Kim, Mi Hwa
    • Journal of Practical Engineering Education
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    • v.13 no.2
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    • pp.333-349
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    • 2021
  • The fourth industrial revolution based on information and communication technology has increased the need for an environment where contents in new technologies can be learned for the development of lifelong vocational capabilities. To prepare for this, K University's online lifelong education center has established STEP, a smart learning platform. In this study, we conducted a study and other platform case analysis for STEP learner types, a survey of learners, and a comprehensive analysis based on these results to classify characteristics by learner types. It also intended to establish a plan to provide customized services to meet the needs of STEP learners in the future. The derived results are as follows. It is necessary to constantly manage learning content difficulty and learning motivation survey, and also needs to refine the operation of learning content in terms of learning composition. In addition, it is important to secure specialized content, to manage vulnerable learners, to actively introduce a learner support system and various educational methods.

Convergence Education Modeling for Teaching Integration of IoT with 3D Printing Based on Manufacturing Chemical Product by Production Companies

  • Kim, Chigon;Park, Jong-Youel;Park, Dea-Woo
    • International Journal of Internet, Broadcasting and Communication
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    • v.12 no.4
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    • pp.55-60
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    • 2020
  • This study aims to apply Arduino and 3D printing technology considered as a key subject in the age of 4th industrial revolution which is a step 1 for customizing and applying the process of production by chemical molding companies producing environment-friendly biodegradable packaging materials to the 3D printing teaching in universities. Step 3 is applied to IoT for Arduino application, and 3D printing technology is also used on the basis of teaching creative integrated human resource. Integration of Arduino with 3D printers is based on the assumption that middle- and high-school students can learn it step by step to higher levels and university students majoring or not majoring in computing science can also have computing skills for solving 3D printing-based problems. For IoT application in this study, the 3D printing technology is applied to the external shape of products for producing an Arduino-based lighting fixture. The applied 3D printing technology is further extended to teaching modeling of producing packaging materials by chemical product molding companies in the age of 4th industrial revolution.

Facial Shape Recognition Using Self Organized Feature Map(SOFM)

  • Kim, Seung-Jae;Lee, Jung-Jae
    • International journal of advanced smart convergence
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    • v.8 no.4
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    • pp.104-112
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    • 2019
  • This study proposed a robust detection algorithm. It detects face more stably with respect to changes in light and rotation forthe identification of a face shape. The proposed algorithm uses face shape asinput information in a single camera environment and divides only face area through preprocessing process. However, it is not easy to accurately recognize the face area that is sensitive to lighting changes and has a large degree of freedom, and the error range is large. In this paper, we separated the background and face area using the brightness difference of the two images to increase the recognition rate. The brightness difference between the two images means the difference between the images taken under the bright light and the images taken under the dark light. After separating only the face region, the face shape is recognized by using the self-organization feature map (SOFM) algorithm. SOFM first selects the first top neuron through the learning process. Second, the highest neuron is renewed by competing again between the highest neuron and neighboring neurons through the competition process. Third, the final top neuron is selected by repeating the learning process and the competition process. In addition, the competition will go through a three-step learning process to ensure that the top neurons are updated well among neurons. By using these SOFM neural network algorithms, we intend to implement a stable and robust real-time face shape recognition system in face shape recognition.

Behavior of UHPC-RW-RC wall panel under various temperature and humidity conditions

  • Wu, Xiangguo;Yu, Shiyuan;Tao, Xiaokun;Chen, Baochun;Liu, Hui;Yang, Ming;Kang, Thomas H.K.
    • Advances in concrete construction
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    • v.9 no.5
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    • pp.459-467
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    • 2020
  • Mechanical and thermal properties of composite sandwich wall panels are affected by changes in their external environment. Humidity and temperature changes induce stress on wall panels and their core connectors. Under the action of ambient temperature, temperature on the outer layer of the wall panel changes greatly, while that on the inner layer only changes slightly. As a result, stress concentration exists at the intersection of the connector and the wall blade. In this paper, temperature field and stress field distribution of UHPC-RW-RC (Ultra-High Performance Concrete - Rock Wool - Reinforced Concrete) wall panel under high temperature-sprinkling and heating-freezing conditions were investigated by using the general finite element software ABAQUS. Additionally, design of the connection between the wall panel and the main structure is proposed. Findings may serve as a scientific reference for design of high performance composite sandwich wall panels.

A Study on Characteristics of Serious Game User through Implementation of Mobile Sequence Game (모바일 수열 게임 개발을 통한 기능성 게임 사용자의 특성에 관한 연구)

  • Hong, Min;Lee, Hwa-Min
    • The KIPS Transactions:PartA
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    • v.19A no.3
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    • pp.155-160
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    • 2012
  • This paper designed a smartphone application with sequence problems which users can improve their learning ability and this application is implemented as serious game which is designed for the special purposes of education with entertainment and game-like fun at anytime and anywhere during the spare time. Also to prove learning effects through sequence of number application under ubiquitous environment which is popular these days, the proposed serious game which has various types of sequence questions is implemented based on the iphone and android environments. User characteristics and learning effects which are based on game record of proposed application are analyzed according to socio-demographic characteristics.

A Review on Remote Sensing and GIS Applications to Monitor Natural Disasters in Indonesia

  • Hakim, Wahyu Luqmanul;Lee, Chang-Wook
    • Korean Journal of Remote Sensing
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    • v.36 no.6_1
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    • pp.1303-1322
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    • 2020
  • Indonesia is more prone to natural disasters due to its geological condition under the three main plates, making Indonesia experience frequent seismic activity, causing earthquakes, volcanic eruption, and tsunami. Those disasters could lead to other disasters such as landslides, floods, land subsidence, and coastal inundation. Monitoring those disasters could be essential to predict and prevent damage to the environment. We reviewed the application of remote sensing and Geographic Information System (GIS) for detecting natural disasters in the case of Indonesia, based on 43 articles. The remote sensing and GIS method will be focused on InSAR techniques, image classification, and susceptibility mapping. InSAR method has been used to monitor natural disasters affecting the deformation of the earth's surface in Indonesia, such as earthquakes, volcanic activity, and land subsidence. Monitoring landslides in Indonesia using InSAR techniques has not been found in many studies; hence it is crucial to monitor the unstable slope that leads to a landslide. Image classification techniques have been used to monitor pre-and post-natural disasters in Indonesia, such as earthquakes, tsunami, forest fires, and volcano eruptions. It has a lack of studies about the classification of flood damage in Indonesia. However, flood mapping was found in susceptibility maps, as many studies about the landslide susceptibility map in Indonesia have been conducted. However, a land subsidence susceptibility map was the one subject to be studied more to decrease land subsidence damage, considering many reported cases found about land subsidence frequently occur in several cities in Indonesia.

A Study on the Trends of Virtual Reality Application Technology for Agricultural Education (가상현실 응용기술의 동향 분석을 통한 국내 시설농업의 교육용 가상현실 활용방안 고찰)

  • Kim, Jun-Gyu;Lee, In-bok;Yoon, Kwang-Sik;Ha, Tae-hwan;Kim, Rack-woo;Yeo, Uk-hyeon;Lee, Sang-yeon
    • Journal of Bio-Environment Control
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    • v.27 no.2
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    • pp.147-157
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    • 2018
  • With the rapid development of the 4th industrial revolution, the large-sized facilities of agriculture have been developed with high-technologies. However, it is difficult to maintain the optimum environment in large-sized facilities. Although it is essential to control micro-climate properly in large-sized facilities, there are a lot of problems to utilize high-technologies and equipment because of insufficient education for farmers. Most farms have limitations to access to their farm because of prevention of epidemics, exposure of management know-how, and so on. Especially, it is difficult to understand internal environmental factors (airflow, temperature, humidity, etc.) for farmers because these factors are invisible. Recently, Virtual reality technology which allows users to experience various phenomena directly is attracting attention. Virtual reality is very useful technology to visualize airflow and temperature distribution and so on. However, there is no cases applied this technology to agricultural facilities. In this study, research trends of virtual reality in various fields were investigated. In particular, the limitation and possibility of virtual reality technology were analyzed for educating farmers. Finally, the development of virtual reality contents for smart-farm facility were suggested.

Wired/Wireless Gateway System Supporting LAN-to-LAN VPN with Multi-Queuing Realtime Traffic Shaping (다중큐잉 실시간 트래픽쉐이핑을 적용한 네트워크간 VPN 지원 유무선공유기 시스템)

  • Yang, Seung Eui;Goh, Byung Oh;Choi, Jong-Kun;Jung, Hoe-kyung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.5
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    • pp.1097-1103
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    • 2015
  • In order to build network infrastructure to implement the aforementioned advantages enabling smart device users to work anywhere, professional support and expensive VPN devices are required. This is a barrier to supplying VPN devices to small and medium-sized institutes. To address this issue, this study aims to implement OpenVPN, OpenSSH and iproute based on the OpenWRT platform which is an embedded OS for open networks in affordable open wired/wireless gateway H/W platforms to support the inter-network VPN. In addition, the network environment can be maintained optimal by applying a "multi-queuing real-time traffic shaping technology" to VPN tunnels, although channel quality changes.