• 제목/요약/키워드: integrating science and art

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평가인증기준에서 바라본 대전시 보육시설사례의 시설공간구성과 보육실 영역구성 조사 (Analysis of Space Organization and Classroom Zoning of Childcare Centers in Daejeon City by the Childcare Accreditation Criteria)

  • 김영애;최목화;변혜령
    • 한국생활과학회지
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    • 제20권1호
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    • pp.205-223
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    • 2011
  • This study examines diagrams of space organization and classroom activity zoning through Korean Childcare Accreditation Criteria, and compares space diagrams with childcare facilities in Daejeon, and looks at similarities and differences between them. Space diagram from accreditation criteria show the classroom, adjoining toilets, napping areas, and community areas for playing, reading, cooking, teaching and holding materials. Classroom zone diagrams show 8 activity zones for entering, washing and toilet, making art, playing, reading, studying science, resting, playing role and wooden block. Six case studies in Daejeon, Korea were surveyed and classified into big, medium and small size facilities by the number of children. The space organization of case studies are similar to the diagrams, except that outdoor playground and indoor playrooms were not large enough at the small and medium size facilities. Classroom activity zoning was very similar to the conceptions, excluding the playarea from classroom, integrating the rest areas for reading, subdividing art into music and art, science, and into math and science, roleplay into roleplay and wooden block. In conclusion childcare centers in Daejeon are designed to the concept diagram of the accreditation criteria, with some flexibility, exclusion, integration, and subdivision of space and activity zones. It has been requested as to make each criteria fit to the facility sizes-big, medium and small.

A Study on Outlier Detection in Smart Manufacturing Applications

  • Kim, Jeong-Hun;Chuluunsaikhan, Tserenpurev;Nasridinov, Aziz
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2019년도 추계학술발표대회
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    • pp.760-761
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    • 2019
  • Smart manufacturing is a process of integrating computer-related technologies in production and by doing so, achieving more efficient production management. The recent development of supercomputers has led to the broad utilization of artificial intelligence (AI) and machine learning techniques useful in predicting specific patterns. Despite the usefulness of AI and machine learning techniques in smart manufacturing processes, there are many fundamental issues with the direct deployment of these technologies related to data management. In this paper, we focus on solving the outlier detection issue in smart manufacturing applications. More specifically, we apply a state-of-the-art outlier detection technique, called Elliptic Envelope, to detect anomalies in simulation-based collected data.

The E-based Pedagogy for People with Disabilities

  • Kim, Yoon
    • International Journal of Contents
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    • 제3권2호
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    • pp.30-34
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    • 2007
  • This paper concerns with the application of e-based education methodology for people with disabilities targeting to empower them. Instead of the classic educational support such as extended time to take exams, a reader and/or scribe to assist with exams and note taking services, we suggest the use of new pedagogy-the science of educations integrating the state-of-the art. In this paper, we introduce the definition of disabilities for the people who does not fully understand what they means, first, and then possible implementing tools which can empower them with accomplishments. Most of the research in the field of pedagogy has tended to concentrate on the behavioral aspects of instructional sciences. Therefore we would like to point out that we concentrate on the aspects of instructional science particularly related with people with disabilities.

Detection for JPEG steganography based on evolutionary feature selection and classifier ensemble selection

  • Ma, Xiaofeng;Zhang, Yi;Song, Xiangfeng;Fan, Chao
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권11호
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    • pp.5592-5609
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    • 2017
  • JPEG steganography detection is an active research topic in the field of information hiding due to the wide use of JPEG image in social network, image-sharing websites, and Internet communication, etc. In this paper, a new steganalysis method for content-adaptive JPEG steganography is proposed by integrating the evolutionary feature selection and classifier ensemble selection. First, the whole framework of the proposed steganalysis method is presented and then the characteristic of the proposed method is analyzed. Second, the feature selection method based on genetic algorithm is given and the implement process is described in detail. Third, the method of classifier ensemble selection is proposed based on Pareto evolutionary optimization. The experimental results indicate the proposed steganalysis method can achieve a competitive detection performance by compared with the state-of-the-art steganalysis methods when used for the detection of the latest content-adaptive JPEG steganography algorithms.

ARD기반의 ICT체험 교육콘텐츠 효용성 개선 및 활성화 구현 (Achieving the improvement of efficiency and vitalization of ARD-based ICT experiential education contents)

  • 정희형;김경훈
    • 한국과학예술포럼
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    • 제19권
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    • pp.623-633
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    • 2015
  • Use of technology through utilization of ICT (Information Communication Technology) in field study area is rapidly increasing. Thus, when applying ICT to experiential education, apart from experiential education contents in simple form, the demand for new high quality contents is increasing considering change in education paradigm focusing on creativity. As a result, high quality interactive experiential education content for developing self-directed future talents is required. As a result of this, the development of ARD-based ICT experiential education content system that enhances learning effect of students by integrating ARD-based (Augmented Reality Display) ICT and experiential education to promote existence and immersion is being tested. This paper aims to improve efficacy and achieve vitalization through case analysis of AR-based ICT experiential education content. As a result of case analysis, the composition of content for improving education content included 1) constant securing and strengthening of experiential education content, 2) necessity for development of participating education content by diverse age groups, 3) development of differentiated ICT experiential education content, and 4) securing professional manpower and development of content in connection with education process. Therefore, with the efficacy of ARD-based ICT experiential education content, this study can first, enhance bond between students, second, enable self-directed learning, third, increase practical understanding in contents that were difficult to control by textbook contents, and fourth, increase interest and immersion in learning. Therefore, the contents on new converging technology that can maximize the development of constant content and cooperation between ICT technology and pedagogy for educating creativity and autonomy of ICT experiential education content.

중공형재의 평금형 압출에 관한 연구 (A Study on Square Die Extrusion of Hollow Shape)

  • 이승훈;이춘만;조종래
    • 한국소성가공학회:학술대회논문집
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    • 한국소성가공학회 1996년도 추계학술대회논문집
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    • pp.14-19
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    • 1996
  • This study presents development of finite element simulation program and analysis of hot extrusion through square dies with mandrel. The design of extrusion dies is still an art rather than science. Die design for a new extrusion is developed from through in-plant trials. In the present paper, three-dimensional steady-state finite element simulation program is developed. The developed system is effectively used to simulate extrusion of clamp shaped hollow section. The objective of the present paper is to study the possibility of integrating this method into the design of dies for extrusion of complex section. To obtain sound product, the distributions and effects of temperature, effective strain rate, mean strain rate and mean stress are studied.

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Phrase-based Topic and Sentiment Detection and Tracking Model using Incremental HDP

  • Chen, YongHeng;Lin, YaoJin;Zuo, WanLi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권12호
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    • pp.5905-5926
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    • 2017
  • Sentiments can profoundly affect individual behavior as well as decision-making. Confronted with the ever-increasing amount of review information available online, it is desirable to provide an effective sentiment model to both detect and organize the available information to improve understanding, and to present the information in a more constructive way for consumers. This study developed a unified phrase-based topic and sentiment detection model, combined with a tracking model using incremental hierarchical dirichlet allocation (PTSM_IHDP). This model was proposed to discover the evolutionary trend of topic-based sentiments from online reviews. PTSM_IHDP model firstly assumed that each review document has been composed by a series of independent phrases, which can be represented as both topic information and sentiment information. PTSM_IHDP model secondly depended on an improved time-dependency non-parametric Bayesian model, integrating incremental hierarchical dirichlet allocation, to estimate the optimal number of topics by incrementally building an up-to-date model. To evaluate the effectiveness of our model, we tested our model on a collected dataset, and compared the result with the predictions of traditional models. The results demonstrate the effectiveness and advantages of our model compared to several state-of-the-art methods.

Advances in Cyber-Physical Systems Research

  • Wan, Jiafu;Yan, Hehua;Suo, Hui;Li, Fang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제5권11호
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    • pp.1891-1908
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    • 2011
  • Cyber-physical systems (CPSs) are an emerging discipline that involves engineered computing and communicating systems interfacing the physical world. The widespread applications of CPSs still face enormous challenges because of the lack of theoretical foundations. In this technical survey, we review state-of-the-art design techniques from various angles. The aim of this work is to provide a better understanding of this emerging multidisciplinary methodology. The features of CPSs are described, and the research progress is analyzed using the following aspects: energy management, network security, data transmission and management, model-based design, control technique, and system resource allocation. We focus on CPS resource optimization, and propose a system performance optimization model with resource constraints. In addition, some classic applications (e.g., integrating intelligent road with unmanned vehicle) are provided to show that the prospects of CPSs are promising. Furthermore, research challenges and suggestions for future work are outlined in brief.

융합인재교육 모델로서 과학인형극 프로그램의 과학선호도와 자기주도적 학습능력에 대한 효과 (Effects of Preference for Science and Self-Directed Learning Ability of the Science Puppet Show Program Developed as a STEAM Education Model)

  • 하주일;김경수
    • 한국과학예술포럼
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    • 제21권
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    • pp.437-449
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    • 2015
  • 본 연구의 목적은 연구자가 융합인재교육 모델로 개발한 과학인형극 프로그램의 과학선호도와 자기주도적 학습능력에 대한 효과를 검증하기 위함이다. 학생들을 대상으로 사전, 사후에 각각 동일한 검사지로 검증한 결과, 과학인형극 프로그램은 과학선호도의 감정반응, 가치인식, 행동의지 등 3가지 하위차원 중 행동의지의 과학관련 과제실행의지를 높이는데 효과가 있었으나, 과학선호도의 전반적인 면에는 영향을 미치지는 못하였다. 이는 이미 과학에 대한 선호도가 높은 과학영재란 특성이 반영된 것으로 해석된다. 또한 자기주도적 학습능력에서 인지조절, 동기조절, 행동조절의 3가지 하위차원 모두에 효과가 있었다. 특히 인지조절의 주도적 학습능력, 동기조절의 학습동기, 행동조절의 도구활용, 협업능력에 대한 효과가 높았으며, 남학생보다 여학생에 대한 효과가 높게 나타났다. 이는 학생이 교과 내용을 융합하는 '내용융합단계', 시각화·청각화·퍼포먼스 미션을 스스로 해결하는 '융합미션 단계', 함께 무대작품을 만들어가는 '과정융합 단계' 등 과학인형극 3단계 프로그램의 특성이 자기주도적 학습능력을 높인 것으로 판단된다.

Applications of a Deep Neural Network to Illustration Art Style Design of City Architectural

  • Yue Wang;Jia-Wei Zhao;Ming-Yue Zheng;Ming-Yu Li;Xue Sun;Hao Liu;Zhen Liu
    • Journal of Information Processing Systems
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    • 제20권1호
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    • pp.53-66
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    • 2024
  • With the continuous advancement of computer technology, deep learning models have emerged as innovative tools in shaping various aspects of architectural design. Recognizing the distinctive perspective of children, which differs significantly from that of adults, this paper contends that conventional standards may not always be the most suitable approach in designing urban structures tailored for children. The primary objective of this study is to leverage neural style networks within the design process, specifically adopting the artistic viewpoint found in children's illustrations. By combining the aesthetic paradigm of urban architecture with inspiration drawn from children's aesthetic preferences, the aim is to unearth more creative and subversive aesthetics that challenge traditional norms. The selected context for exploration is the landmark buildings in Qingdao City, Shandong Province, China. Employing the neural style network, the study uses architectural elements of the chosen buildings as content images while preserving their inherent characteristics. The process involves artistic stylization inspired by classic children's illustrations and images from children's picture books. Acting as a conduit for deep learning technology, the research delves into the prospect of seamlessly integrating architectural design styles with the imaginative world of children's illustrations. The outcomes aim to provide fresh perspectives and effective support for the artistic design of contemporary urban buildings.