• Title/Summary/Keyword: Building application

Search Result 3,367, Processing Time 0.026 seconds

Development and Application of a Maker Education Program Using Virtual Reality Technology in Elementary Science Class: Focusing on the Unit of 'Animal Life' (초등 과학 수업에서 VR 기술을 활용한 메이커교육 프로그램의 개발과 적용 - '동물의 생활' 단원을 중심으로 -)

  • Kim, Hye-Ran;Choi, Sun-Young
    • Journal of Korean Elementary Science Education
    • /
    • v.42 no.3
    • /
    • pp.399-408
    • /
    • 2023
  • This study developed and applied a maker education program for an elementary school's science unit on 'Animal Life'. It examined the program's impact on students' academic achievement and creative problem-solving ability. The theme of the maker education program was 'creating a robot virtual reality (VR) exhibition hall mimicking animal characteristics'. It explored scientific concepts and creatively created a robot VR exhibition hall in accordance with the TMI maker education model. Findings revealed that the program significantly improved students' academic achievement and creative problem-solving ability (p<.05). This study provides evidence for the effectiveness of maker education in elementary school science classes and suggests that using maker education can increase students' interest in and engagement with science learning. To implement maker education more actively in elementary school science classes, stakeholders should develop various topics and programs. Additional research investigating the effectiveness of maker education in different age groups and various other areas of elementary science education is required to generalize the results of this study. Moreover, educational and teacher capacity building is required for educators to utilize maker education effectively.

A Case Study on the Role Creation of Actors Using Etude - Centering on the Play - (에쮸드(Etude)를 활용한 배우의 역할창조 사례연구 - 연극 <춤추며 간다.>를 중심으로 -)

  • Lee, Jeong-Ha
    • Journal of Korea Entertainment Industry Association
    • /
    • v.13 no.3
    • /
    • pp.101-110
    • /
    • 2019
  • The actor's art work is to build and create a role on stage based on the writer's drama. The actor's role creation is possible by analyzing the role of the writer in the drama logically and acting it actively. This is how an actor who practices practical acts goes beyond a stereotypical role-building and performs live acting skills. A case study in the field work for the application of Etude is absolutely necessary at present, where Etude of Stanislavsky is operated in Korean university education and field. This study will be a case in which Etude, which is a scientific and systematic acting methodology of Stanislavsky, is recognized and applied in the field as a methodology for more extended actor training methodology rather than making a judgment about the value of Etude as applied to theater education and the field as an acting training method. The researcher will introduce the methodology of using Etude as an acting method of Stanislavsky through the use of Etude in the creative play , and would like to give an example of an acting creation process model about 'how to apply Etude'. Through these studies and applications, actors can avoid falling into stereotypes and mannerism, and prepare the foundations for a living actor's art, the acting guide for creating a practical role.

Shaking table test on seismic response and failure characteristics of ground fissures site during earthquakes

  • Chao, Zhang;Xuzhi, Nie;Zhongming, Xiong;Yuekui, Pang;Xiaolu, Yuan;Yan, Zhuge;Youjun, Xu
    • Geomechanics and Engineering
    • /
    • v.32 no.3
    • /
    • pp.307-319
    • /
    • 2023
  • Ground fissures have a huge effect on the integrity of surface structures. In high-intensity ground fissure regions, however, land resource would be wasted and city building and economic development would be limited if the area avoiding principle was used. In view of this challenge, to reveal the seismic response and seismic failure characteristics of ground fissure sites, a shaking table test on model soil based on a 1:15 scale experiment was carried out. In the test, the spatial distribution characteristics of acceleration response and Arias intensity were obtained for a site exposed to earthquakes with different characteristics. Furthermore, the failure characteristics and damage evolution of the model soil were analyzed. The test results indicated that, with the increase in the earthquake acceleration magnitude, the crack width of the ground fissure enlarged from 0 to 5 mm. The soil of the hanging wall was characterized by earlier cracking and a higher abundance of secondary fissures at 45°. Under strong earthquakes, the model soil, especially the soil near the ground fissure, was severely damaged and exhibited reduced stiffness. As a result, its natural frequency also decreased from 11.41 Hz to 8.05 Hz, whereas the damping ratio increased from 4.8% to 9.1%. Due to the existence of ground fissure, the acceleration was amplified to nearly 0.476 m/s2, as high as 2.38 times of the input acceleration magnitude. The maximum of acceleration and Arias intensity appeared at the fissure zone, which decreased from the main fissure toward both sides, showing hanging wall effects. The seismic intensity, duration and frequency spectrum all had certain effects on the seismic response of the ground fissure site, but their influence degrees were different. The seismic response of the site induced by the seismic wave that had richer low-frequency components and longer duration was larger. The discrepancies of seismic response between the hanging wall and the footwall declined obviously when the magnitude of the earthquake acceleration increased. The research results will be propitious to enhancing the utilizing ratio of the limited landing resource, alleviation of property damages and casualties, and provide a good engineering application foreground.

Application of Linear Schedule Chart for Schedule Management of Linear Construction Project (선형시설물 공정관리 활용을 위한 선형공정표 활용 시스템 구축 방안)

  • Lee, Jaehee;Kang, Hyojeong;Kang, Leenseok
    • Korean Journal of Construction Engineering and Management
    • /
    • v.24 no.2
    • /
    • pp.13-23
    • /
    • 2023
  • Unlike building construction projects, where the activity is repeatedly carried out in a limited area, civil engineering projects such as roads and railroads are carried out in a linear type in a horizontal working space over several tens of kilometers. Each activity is managed with a station number that has a unit of distance from the starting point to the end point. For this reason, since the work location information of the activity is a major management factor, the Gantt chart system that expresses only schedule information may have limitations. In this study, authors propose a method for constructing a linear schedule chart that can simultaneously express schedule information indicating the start and finish dates and location information indicating the start and end positions of each activity, and develop a system for generating a linear schedule chart. In the study, the coordinate axes of the linear schedule chart consisted of distance and date values on the X and Y axes, respectively, and each activity was expressed as a symbol that can infer the type of work to increase the visibility of the linear schedule chart compared to the simple bar chart method. The linear schedule chart generation system was reviewed for practical applicability by utilizing the actual schedule data of bridge structures in a railroad project.

A study on the Revitalization of Traditional Market with Smart Platform (스마트 플랫폼을 이용한 전통시장 활성화 방안 연구)

  • Park, Jung Ho;Choi, EunYoung
    • Journal of Service Research and Studies
    • /
    • v.13 no.1
    • /
    • pp.127-143
    • /
    • 2023
  • Currently, the domestic traditional market has not escaped the swamp of stagnation that began in the early 2000s despite various projects promoted by many related players such as the central government and local governments. In order to overcome the crisis faced by the traditional market, various R&Ds have recently been conducted on how to build a smart traditional market that combines information and communication technologies such as big data analysis, artificial intelligence, and the Internet of Things. This study analyzes various previous studies, users of traditional markets, and application cases of ICT technology in foreign traditional markets since 2012 and proposes a model to build a smart traditional market using ICT technology based on the analysis. The model proposed in this study includes building a traditional market metaverse that can interact with visitors, certifying visits to traditional markets through digital signage with NFC technology, improving accuracy of fire detection functions using IoT and AI technology, developing smartphone apps for market launch information and event notification, and an e-commerce system. If a smart traditional market platform is implemented and operated based on the smart traditional market platform model presented in this study, it will not only draw interest in the traditional market to MZ generation and foreigners, but also contribute to revitalizing the traditional market in the future.

Seismic Zonation on Site Responses in Daejeon by Building Geotechnical Information System Based on Spatial GIS Framework (공간 GIS 기반의 지반 정보 시스템 구축을 통한 대전 지역의 부지 응답에 따른 지진재해 구역화)

  • Sun, Chang-Guk
    • Journal of the Korean Geotechnical Society
    • /
    • v.25 no.1
    • /
    • pp.5-19
    • /
    • 2009
  • Most of earthquake-induced geotechnical hazards have been caused by the site effects relating to the amplification of ground motion, which is strongly influenced by the local geologic conditions such as soil thickness or bedrock depth and soil stiffness. In this study, an integrated GIS-based information system for geotechnical data, called geotechnical information system (GTIS), was constructed to establish a regional counterplan against earthquake-induced hazards at an urban area of Daejeon, which is represented as a hub of research and development in Korea. To build the GTIS for the area concerned, pre-existing geotechnical data collections were performed across the extended area including the study area and site visits were additionally carried out to acquire surface geo-knowledge data. For practical application of the GTIS used to estimate the site effects at the area concerned, seismic zoning map of the site period was created and presented as regional synthetic strategy for earthquake-induced hazards prediction. In addition, seismic zonation for site classification according to the spatial distribution of the site period was also performed to determine the site amplification coefficients for seismic design and seismic performance evaluation at any site in the study area. Based on this case study on seismic zonations in Daejeon, it was verified that the GIS-based GTIS was very useful for the regional prediction of seismic hazards and also the decision support for seismic hazard mitigation.

Deep Learning based Estimation of Depth to Bearing Layer from In-situ Data (딥러닝 기반 국내 지반의 지지층 깊이 예측)

  • Jang, Young-Eun;Jung, Jaeho;Han, Jin-Tae;Yu, Yonggyun
    • Journal of the Korean Geotechnical Society
    • /
    • v.38 no.3
    • /
    • pp.35-42
    • /
    • 2022
  • The N-value from the Standard Penetration Test (SPT), which is one of the representative in-situ test, is an important index that provides basic geological information and the depth of the bearing layer for the design of geotechnical structures. In the aspect of time and cost-effectiveness, there is a need to carry out a representative sampling test. However, the various variability and uncertainty are existing in the soil layer, so it is difficult to grasp the characteristics of the entire field from the limited test results. Thus the spatial interpolation techniques such as Kriging and IDW (inverse distance weighted) have been used for predicting unknown point from existing data. Recently, in order to increase the accuracy of interpolation results, studies that combine the geotechnics and deep learning method have been conducted. In this study, based on the SPT results of about 22,000 holes of ground survey, a comparative study was conducted to predict the depth of the bearing layer using deep learning methods and IDW. The average error among the prediction results of the bearing layer of each analysis model was 3.01 m for IDW, 3.22 m and 2.46 m for fully connected network and PointNet, respectively. The standard deviation was 3.99 for IDW, 3.95 and 3.54 for fully connected network and PointNet. As a result, the point net deep learing algorithm showed improved results compared to IDW and other deep learning method.

A Comparison of Image Classification System for Building Waste Data based on Deep Learning (딥러닝기반 건축폐기물 이미지 분류 시스템 비교)

  • Jae-Kyung Sung;Mincheol Yang;Kyungnam Moon;Yong-Guk Kim
    • The Journal of the Institute of Internet, Broadcasting and Communication
    • /
    • v.23 no.3
    • /
    • pp.199-206
    • /
    • 2023
  • This study utilizes deep learning algorithms to automatically classify construction waste into three categories: wood waste, plastic waste, and concrete waste. Two models, VGG-16 and ViT (Vision Transformer), which are convolutional neural network image classification algorithms and NLP-based models that sequence images, respectively, were compared for their performance in classifying construction waste. Image data for construction waste was collected by crawling images from search engines worldwide, and 3,000 images, with 1,000 images for each category, were obtained by excluding images that were difficult to distinguish with the naked eye or that were duplicated and would interfere with the experiment. In addition, to improve the accuracy of the models, data augmentation was performed during training with a total of 30,000 images. Despite the unstructured nature of the collected image data, the experimental results showed that VGG-16 achieved an accuracy of 91.5%, and ViT achieved an accuracy of 92.7%. This seems to suggest the possibility of practical application in actual construction waste data management work. If object detection techniques or semantic segmentation techniques are utilized based on this study, more precise classification will be possible even within a single image, resulting in more accurate waste classification

Analysis of class satisfaction with Peer Evaluation in Collaborative Learning-based classes (협력학습 기반 수업에서의 동료평가에 대한 수업 만족도 분석)

  • Jeong, Sun-Kyeong;Park, Nam-Su
    • Journal of Convergence for Information Technology
    • /
    • v.12 no.3
    • /
    • pp.158-170
    • /
    • 2022
  • The purpose of this study is to analyze class satisfaction with peer evaluation in Collaborative Learning-based classes. For collaborative learning-based classes, problem-based learning and project-based learning were selected. Educational implications were derived by designing Instructional procedures of Collaborative Learning-based classes, Peer evaluation types and questionnaire design, Peer evaluation progress of Collaborative Learning-based classes, Class satisfaction research and analysis In Collaborative Learning-based classes. The subjects of the study were participants in Collaborative Learning-based classes selected as problem-based learning and project-based classes. For class satisfaction with peer evaluation in Collaborative Learning-based classes, a survey was conducted on 168 participants A University in Korea. The research tool was designed as Learning procedures for peer evaluation Collaborative Learning-based classes is Team Building, Plan to the Task, To do Task, Mid-check on task, Task completion, Presentation & Evaluation, Reflection & Self-Evaluation. The content validity of items was confirmed by CVR of 12 experts. In the research results, the average class satisfaction of peer evaluation is 4.05(SD=91), followed by class concentration, diligence, voluntary, learning atmosphere. As a result of t-testing the difference in class type between collaborate learning-based classes, the satisfaction of PBL was higher than that of PjBL and a statistically significant difference was observed. The result of this study have significance in providing implications for class design and operation for the application and expansion of peer evaluation in higher education. However, there is a limit to generalization as a result of research using convenience.

Requirements Analysis of Manufacturing Industry for the Development of Support System based on Cognitive and Affective Information (인지 및 감성 정보 지원 시스템 개발을 위한 제조업체 요구사항 분석)

  • Huh, Jung;Yoo, Hoon Sik;Ju, Da Young
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
    • /
    • v.6 no.10
    • /
    • pp.549-564
    • /
    • 2016
  • Due to high cost of domestic production structure, steep growth of China's manufacturing business, and increase in oversea's production, building integrated system to support user-centered product design system based on cognitive and affective information is required to restore development of domestic manufacturing business. This paper put purpose on analysing requirements of end users, especially on information equipment business which works as a major industry in manufacturing businesses, and planning system design direction, prior to constructing user-centered product design support system based on cognitive and affective information. Research was conducted to identify current manufacturing process, application data on manufacturing, availability of cognitive and affective information data and its method of use, and necessity of user-centered product design support system based on cognitive and affective information, by carrying out in-depth interview with 6 related manufacturing companies. Need for user's character information was deducted from the interview, especially cognitive and affective information which is demanding for small to medium manufacturing business to research on its own.