• Title/Summary/Keyword: ANN

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A Study on the Evaluation Direction of AI Education through the Analysis of SW Education Learner-centered Assessment Cases (SW교육 학습자 중심 평가 사례 분석을 통한 인공지능교육의 평가 방향 고찰)

  • Shin, Heenam;Ann, SungHun
    • Journal of The Korean Association of Information Education
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    • v.24 no.5
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    • pp.511-518
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    • 2020
  • Preparing for the Fourth Industrial Revolution and Corona-19, our education is expanding a new chapter of learning to the era of AI education that incorporates software technology beyond software education. In this study, we will analyze the case of learner-centered assessment in software education and examine the assessment direction of artificial intelligence education through its effectiveness. Through the case of applying learner-centered assessment to non-computer subjects including computer subjects, we sought the effects on learners' learning, environmental conditions and assessment models of learner-centered evaluation, and through the case of applying the learner-centered assessment model to software education, we wanted to find out what the learner-centered assessment in artificial intelligence education suggests to the educational site. According to the analysis, the learner-centered assessment had a significant effect on the learner's achievement goal, and it is expected that the learner-centered assessment in artificial intelligence education will be carried out smoothly when an objective evaluation system and objective evaluation model are designed to help the learner's assessment, building digital environment conditions based on intelligent information technology.

Within-plant Distribution of Polyphagotarsonemus latus (Banks) (Acari: Tarsonemidae) on Leaf Perilla (들깨에서 차먼지응애의 주내분포 특성)

  • Seo, Youn-Kyung;Baek, Sunghoon;Kim, Min-Jung;Ann, Seoung-Won;Choi, Yong-Seok
    • Korean journal of applied entomology
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    • v.59 no.4
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    • pp.303-309
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    • 2020
  • The populations of Polyphagostarsonemus latus (Acari: Tarsonemidae) have been causing serious economic damages to farmers by directly feeding on leaves of green perilla. However, sampling of P. latus is impossible because there is no suitable sample unit until now. Thus, this study was conducted to suggest suitable sample unit and required sample number for P. latus on green perilla. Individuals of P. latus started to occurr from the leafstalk within a leaf. They required approximated 25 days to spread to all areas within a leaf. New shoots would be a suitable sample unit for P. latus on green perilla because its density on shoots per ㎠ was always higher than the densities on fully grown and moderately grown leaves. Required sample number at D = 0.25 was estimated as a shoot when eggs, nymphs, and adults of P. latus were observed within a leaf. Therefore, Using this small sample unit for sampling of P. latus on green perilla could be economical and efficient.

Analysis of Teacher Perceptions on Establishing Information Subjects in Elementary Schools (초등학교의 정보 교과 신설에 관한 교사 인식 분석)

  • Lee, Jaeho;Hur, Kyeong;Sohn, Wonsung;Kim, Kapsu;Kim, ChongWoo;Kim, Hongrae;Ma, DaiSung;Park, SunJu;Ann, SungHun
    • Journal of The Korean Association of Information Education
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    • v.25 no.2
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    • pp.227-237
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    • 2021
  • In this thesis, a survey was conducted on elementary school teachers about the establishment of information subjects in elementary schools. As a result, the opinion that information subjects should be newly established for ICT literacy education and SW/AI education in elementary schools was very high. In addition, if it is difficult to establish a new information subject, opinions in favor of the organization of the information subject as an autonomous subject using the discretionary time of the principal were high. In light of the results of this analysis, it is judged that it is necessary to establish a new information subject for ICT literacy education and SW/AI education in the next elementary school curriculum. However, if it is difficult to establish a new information course, it is necessary to come up with a plan that can be operated in the form of autonomous subject for students wishing to learn SW/AI. And it is judged that the number of class hours should be secured for at least 1 hour or 2 hours per week in the 3rd grade and above.

Analysis of Elementary School Parents' Motivation for Participation in Private Software Education (초등학생 학부모의 소프트웨어 사교육 참여동기 분석)

  • Lee, Jaeho;Kim, Kapsu;Kim, ChongWoo;Kim, Jonghoon;Kim, Hongrae;Ma, DaiSung;Park, SunJu;Sohn, Wonsung;Ann, SungHun;Hur, Kyeong;Shim, Jaekwoun
    • Journal of The Korean Association of Information Education
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    • v.25 no.2
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    • pp.239-247
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    • 2021
  • In elementary schools, software education became essential and the importance of artificial intelligence education was emphasized. The software private education market is gradually growing, but related research is insufficient. In addition to the software education provided by public education, a basic investigation and analysis on the reasons and perceptions of parents participating in software private education are required. This study surveyed the reasons and necessity of participating in software private education, and perceptions of software education for parents of elementary school students who participated in software private education. As a result of the study, the biggest reason for participating in software private education was the lack of time and environment to provide software education in elementary schools. It was analyzed that the need for private software education had the greatest impact on the need for a separate formal subject for software education.

Research on public sentiment of the post-corona new normal: Through social media (SNS) big data analysis (포스트 코로나 뉴노멀에 대한 대중감성 연구: 소셜미디어(SNS) 빅데이터 분석을 통해)

  • Ann, Myung-suk
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.2
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    • pp.209-215
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    • 2022
  • In this study, detailed factors of public sentiment toward the 'post-corona new normal' were examined through social media big data sentiment analysis. Thus, it is to provide basic data to preemptively cope with the post-COVID-19 era. For data collection and analysis, the emotional analysis program of 'Textom', a big data analysis program, was used. The data collection period is one year from October 5, 2020 to October 5, 2021, and the collection channels are set as blogs, cafes, Twitter, and Facebook on Daum and Naver. The original data edited and refined a total of 3,770 collected texts from this channel were used for this study. The conclusion is as follows. First, there is a high level of interest and liking for the 'post-corona new normal'. In other words, it can be seen that optimism such as daily recovery, technological growth, and expectations for a new future took the lead at 77.62%. Second, negative emotions such as sadness and rejection are 22.38% of the total, but the intensity of emotions is 23.91%, which is higher than the ratio, suggesting that these negative emotions are intense. This study has a contribution to the detailed factor analysis of the public's positive and negative emotions through big data analysis on the 'post-corona new normal'.

Freeze-Thaw Resistance of Alkali Activated Ternary Blended Cement Incorporated with Ferronickel Slag (알칼리 활성화제를 첨가한 페로니켈슬래그 혼입 삼성분계 콘크리트의 동결융해 저항성)

  • Cho, Won-Jung;Park, Kwang-Pil;Ann, Ki-Yong
    • Journal of the Korean Recycled Construction Resources Institute
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    • v.10 no.2
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    • pp.159-167
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    • 2022
  • The present study assessed the micro structure and durability characteristics of ternary blended cement with different types of alkali activators. Ground granulated blast furnace slag(GGBS) and ferronickel slag(FNS) was replaced until 50 % of the weight of cement. In addition, potassuim hydroxide and sodium hydroxide were used for comparing the properties of different type of alkali activator. Ternary blended cement with alkali activators showed higher peak portlandite peak than that of OPC(Ordinary Portlande Cement) and non activated ternary blended cement. Also, there was no new hydration products in ternary blended cement or/and alkali activators. Based on the mercury intrustion porosimetry(MIP) test result, ternary blended cement increased macro pore while alkali activated ternary blended cement modified pore structure and increased microp pore as compared to OPC as control. Combination with alkali activators is desirable to enhance the compressive strength and freeze thaw resistance.

A Comparative Analysis of Risk Impacts on Cost Overrun between Actual Cases and Managers' Perception on Overseas Construction Projects (해외 프로젝트 시공단계 리스크 요인의 실제 비용 초과 영향과 현장관리자 인식 차이 분석)

  • Lee, Kyung-Tae;Ann, Hannah;Kim, Jae-Won;Kim, Ju-Hyung
    • Korean Journal of Construction Engineering and Management
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    • v.22 no.3
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    • pp.52-60
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    • 2021
  • Due to the significant size of overseas construction projects, the cost overrun has enormous impacts on the financial status of construction companies. The managers' appropriate perception and identification of key risk factors in the construction phase notably affect the performance of projects. However, the actual impacts of risk factors and local manager' s perception of them could be deviated. For this reason, we aim to compare the performance of actual cases and general opinions of responsible practitioners in terms of risk factors relevant to cost overruns in order to present a practical strategy for risk management. Firstly, factors classified from literature review were used to simulate 290 cost overruns data sets from 20 cases by introducing Monte-Carlo Simulation and were ranked by standardized coefficients through multiple regression analysis. Secondly, a survey was conducted against 42 local managers to rank their perception of impact on cost overrun with identical factors by using Stepwise Weight Assessment Ratio Analysis (SWARA). Comparison results show that conflicts such as 'conflict with subcontractors' and 'conflict with the local community' have caused excessive cost overrun. However, managers' perception of these as less significant than the actual influences and consider other risks such as 'material price fluctuation' and 'construction quality errors', as relatively serious. Therefore, education for local managers on conflict risks needs to be presented.

Evaluation of Chloride Extraction under Electrochemical Chloride Extraction (전기화학적 염화물 추출법에 따른 염소이온 제거 성능 평가)

  • Jiseok, Kim;Ki-Yong, Ann
    • Journal of the Korean Recycled Construction Resources Institute
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    • v.10 no.4
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    • pp.553-557
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    • 2022
  • The present study evaluate the chloride extracion under electrochemical chloride extraction method. Chloride was penetrated into the concrete from external reservoir using a 4M NaCl solution, and an electrochemical chloride extraction method was applied after the curing period of 1 year. The current density was constantly kept 1000 mA/m2 for coulostatic application with the variation in potential difference. The duration of the ECE treatment was 2, 4, 8 weeks, respectively. The residual chloride concentration at all depths decreased, and the chloride concentration decreased as the application period increased. After the application period of 8 weeks, 62.9 to 77.6 % of chloride extracted in the total chloride profile, and 77.7 to 99.5 % of chloride extracted in the free chloride profile. In particular, the concentration of free chloride at a depth of 7 mm or more from the concrete surface was 0.01 % or less by cement. In addition, it was confirmed that the bound chloride could be extracted by the electrochemical chloride extraction.

360-degree Video Streaming System for Large-scale Immersive Displays (대형 가상현실 공연장을 위한 360도 비디오 스트리밍 시스템)

  • Yeongil, Ryu;Kon Hyong, Kim;Andres, Cabrera;JoAnn, Kuchera-Morin;Sehun, Jeong;Eun-Seok, Ryu
    • Journal of Broadcast Engineering
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    • v.27 no.6
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    • pp.848-859
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    • 2022
  • This paper presents a novel 360-degree video streaming system for large-scale immersive displays and its ongoing implementation. Recent VR systems aim to provide a service for a single viewer on HMD. However, the proposed 360-degree video streaming system enables multiple viewers to explore immersive contents on a large-scale immersive display. The proposed 360-degree video streaming system is being developed in 3 research phases, with the final goal of providing 6DoF. Currently, the phase 1: implementation of the 3DoF 360-degree video streaming system prototype is finished. The implemented prototype employs subpicture-based viewport-dependent streaming technique, and it achieved bit-rate saving of about 80% and decoding speed up of 543% compared to the conventional viewport-independent streaming technique. Additionally, this paper demonstrated the implemented prototype on UCSB AlloSphere, the large-scale instrument for immersive media art exhibition.

A Study on the Development of Construction Budget Estimating Model for Public Office Buildings based on Artificial Neural Network (인공신경망 기반의 공공청사 공사비 예산 예측모델 개발 연구)

  • Kim, Hyeon Jin;Kim, Han Soo
    • Korean Journal of Construction Engineering and Management
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    • v.24 no.5
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    • pp.22-34
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    • 2023
  • Predicting accurately the construction cost budget in the early stages of construction projects is crucial to support the client's decision-making and achieve the objectives of the construction project. This holds true for public construction projects as well. However, the current methods for predicting construction cost budgets in the early stages of public construction projects are not sophisticated enough in terms of accuracy and reliability, indicating a need for improvement. The objective of this study is to develop a construction cost budget prediction model that can be utilized in the early stages of public building projects using an artificial neural network (ANN). In this study, an artificial neural network model was developed using the SPSS Statistics program and the data provided by the Public Procurement Service. The level of construction cost budget prediction was analyzed, and the accuracy of the model was validated through additional testing. The validation results demonstrated that the developed artificial neural network model exhibited an error range for estimates that can be utilized in the early stages of projects, indicating the potential to predict construction cost budgets more accurately by incorporating various project conditions.