• 제목/요약/키워드: New technologies

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Teacher Perception on Educational Attributes of Cutting Edge Technologies in Rural Public Schools: Focusing on Tablet PCs, e-Whiteboards, and Fastel

  • SUNG, Eunmo;JIN, Sunghee
    • Educational Technology International
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    • 제12권1호
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    • pp.95-124
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    • 2011
  • Teachers' perception on educational attributes of new technologies can be dealt with a critical factor for enhancing educational effectiveness through using new technologies in education. The present study attempts to identify teachers' perceptions on educational attributes of cutting edge technologies established through a government-driven educational agenda, "The rural public school model", To achieve this purpose, e-survey was conducted for analyzing the differences of teachers' perceptions on educational attributes of TPCs, e-Whiteboards, and Fastel according to teachers' working areas, school levels, teaching experiences, and training experiences. Participants were 123 elementary school teachers (male:62, female:61) and 66 middle school teachers (male:37, female:29) who are working in the rural public model schools (Gyeonggi: 29, Chungcheong: 12, Jeolla: 30, Gyeongsang: 88, Gangwon: 22, Jeju: 8). The results are as follows: firstly, there were statistically significant differences according to regions, but no significant difference according to school levels; secondly, significant differences in teacher's perceptions on educational attributes of TPCs and Fastel according to teacher's teaching experiences were not shown; thirdly, differences in teachers' perceptions according to their training experiences were meaningfully significant in terms of three new technologies, Based on research results, the implications and further studies are suggested in order to increase educational effectiveness and efficiency for using the technologies.

건설신기술의 현장활용 저해요인 분석 및 활성화 방안 (Examination of Obstacles Impeding the Deployment of New Construction Technologies On-Site and Development of an Activation Strategy)

  • 박환표;배병윤
    • 한국건축시공학회지
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    • 제23권4호
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    • pp.369-380
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    • 2023
  • 국내 건설신기술제도는 건설업계의 자발적인 기술개발을 유도하여 국내 건설기술 수준 향상 및 경쟁력 강화에 기여하였다. 특히 건설신기술의 현장적용으로 공사비 절감 및 공기단축의 성과를 달성하였다. 그러나 건설신기술제도가 도입된 지 33년이 지났지만, 건설신기술의 매년 지정건수와 건설현장 활용실적은 정체 수준이다. 따라서 본 연구는 건설신기술의 현장활용 저해요인을 다각적으로 분석하고, 현장활용 활성화 방안을 제안하였다. 주요 결과는 건설신기술 활용실적 모니터링 제도 도입, 특정공법심의 기술위주의 평가, 건설신기술 사후평가시스템 개선, 건설신기술의 기술마켓시스템 등록체계 구축, 건설신기술의 활용실적 관리방안을 제안하였다. 이러한 제도개선은 건설신기술의 현장활용을 촉진할 것으로 기대된다.

Theoretical Aspects of Blockchain Technologies in The Sphere of Education

  • Liashkevych, Antonina;Babyshena, Mariana;Vorokhaev, Oleksandr;Pylypiv, Volodymyr;Oliinyk, Oksana;Kinakh, Nelia
    • International Journal of Computer Science & Network Security
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    • 제21권3호
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    • pp.185-190
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    • 2021
  • The article provides a literary and analytical review in the following areas of search: problems and prerequisites for changes in the field of education, innovations and innovative models in education, the use of new technologies in teaching. A proposal for a business plan and accompanying documentation for a new methodology based on blockchain technologies were developed, to assess the economic efficiency of the project. The main systems of the new model were modeled on the basis of the proposed methodology, to develop a prototype based on the project documentation.

Digitalization as an aggregate performance in the energy transition for nuclear industry

  • Florencia de los Angeles Renteria del Toro;Chen Hao;Akira Tokuhiro;Mario Gomez-Fernandez;Armando Gomez-Torres
    • Nuclear Engineering and Technology
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    • 제56권4호
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    • pp.1267-1276
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    • 2024
  • The emerging technologies at the industrial level have deployed rapidly within the energy transition process innovations. The nuclear industry incorporates several technologies like Artificial Intelligence (AI), Machine Learning (ML), Digital Twins, High-Performance-Computing (HPC) and Quantum Computing (QC), among others. Factors identifications are explained to set up a regulatory framework in the digitalization era, providing new capabilities paths for nuclear technologies in the forthcoming years. The Analytical Network Process (ANP) integrates the quantitative-qualitative decision-making analysis to assess the implementation of different aspects in the digital transformation for the New-Energy Transition Era (NETE) with a Nuclear Power Infrastructure Development (NPID).

Systems Biology and Emerging Technologies Will Catalyze the Transition from Reactive Medicine to Predictive, Personalized, Preventive and Participatory (P4) Medicine

  • Galas, David J.;Hood, Leroy
    • Interdisciplinary Bio Central
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    • 제1권2호
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    • pp.6.1-6.4
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    • 2009
  • We stand at the brink of a fundamental change in how medicine will be practiced. Over the next 5-20 years medicine will move from being largely reactive to being predictive, personalized, preventive and participatory (P4). Technology and new scientific strategies have always been the drivers of revolutions and this is certainly the case for P4 medicine, where a systems approach to disease, new and emerging technologies and powerful computational tools will open new windows for the investigation of disease. Systems approaches are driving the emergence of fascinating new technologies that will permit billions of measurements on each individual patient. The challenge for health information technology will be how to reduce this enormous amount of data to simple hypotheses about health and disease. We predict that emerging technologies, together with the systems approaches to diagnosis, therapy and prevention will lead to a down turn in the escalating costs of healthcare. In time we will be able to export P4 medicine to the developing world and it will become the foundation of global medicine. The "democratization" of healthcare will come from P4 medicine. Its first real emergence will require the unprecedented integration of biology, medicine, technology and computation. as well as societal issues of major importance: ethical, regulatory, public policy, economic, and others. In order to effectively move the P4 scientific agenda forward new strategic partnerships are now being created with the large-scale integration of complementary skills, technologies, computational tools, patient records and samples and analysis of societal issues. It is evident that the business plans of every sector of the healthcare industry will need to be entirely transformed over the next 10 years.and the extent to which this will be done by existing companies as opposed to newly created companies is a fascinating question.

Reactive Mesogen Mixtures for Integrated Optical Films

  • Lee, Hee-Kyu;Lee, Seung-Eun;Cumming, S.A.;Verrall, M.;Parri, O.;Harding, R.;Marden, S.
    • 한국정보디스플레이학회:학술대회논문집
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    • 한국정보디스플레이학회 2003년도 International Meeting on Information Display
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    • pp.266-269
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    • 2003
  • TFT LCD mode has some well-documented performance limitations, namely limited viewing angle, inversion of the gray scale levels and poor luminance efficiency because of the necessity of using crossed polarisers attached to the display cell. During the last few years many initiatives have been undertaken to solve these problems by incorporation birefringent films of various designs into the LCD module. Controlling the optical performance of LCDs often requires combination of liquid crystal material properties, cell parameters and optical films. Such optical films have traditionally been made with stretched polymer materials such as polycarbonate, but recently coated liquid crystalline materials have been used to give improved optical films which can greatly enhance the performance of LCDs. We have now developed reactive mesogen materials to add ultra-thin optical layers into the display structure, and these allow the potential for many new applications.

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신의료기술에 대한 진료비 지불: 외국사례와 시사점 (Implications of Price Setting Strategies for New Health Technologies from Five Countries)

  • 정설희;권오탁;최연미;문경준;채정미;이루리
    • 보건행정학회지
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    • 제30권2호
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    • pp.164-177
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    • 2020
  • This study aims to compare the experience of selected countries in operating separate payment system for new healthcare technology and to find implications for price setting in Korea. We analyzed the related reports, papers, laws, regulations, and related agencies' online materials from five selected countries including the United States, Japan, Taiwan, Germany, and France. Each country has its own additional payment system for new technologies: transitional pass-through payment and new technology ambulatory payment classification for outpatient care and new technology add-on payment for inpatient care (USA), an extra payment for materials with new functions or new treatment (C1, C2; Japan), an additional payment system for new special treatment materials (Taiwan), a short-term extra funding for new diagnosis and treatment (NUB; Germany), and list of additional payments for new medical devices (France). The technology should be proven safe and effective in order to get approval for an additional payment. The price is determined by considering the actual cost of providing the technology and the cost of existing similar technologies listed in the benefits package. The revision cycle of the additional payment is 1 to 4 years. The cost or usage is monitored during that period and then integrated into the existing fee schedule or removed from the list. We conclude that it is important to set the explicit criteria to select services eligible for additional payment, to collect and analyze data to assess eligibility and to set the payment, to monitor the usage or cost, and to make follow-up measures in price setting for new health technologies in Korea.

Epidemiology and Preventive Medicine in Times of New Technologies

  • Jenicek Milos
    • 대한예방의학회:학술대회논문집
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    • 대한예방의학회 1996년도 제48차 추계 학술대회 연제집
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    • pp.3-26
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    • 1996
  • Epidemiology and preventive medicine are changing together with Population and health and with ever expanding medical and non medical technologies. New technologies make epidemiology methodologically more sophisticated, but such advances risk overshadowing epidemiology's most important role: raising questions, providing answers, and helping the medical decision-making at ail levels of prevention. Epidemiology also plays a major role in the evaluation of new and other technologies whose effectiveness is poorly known. Epidemiological approaches, methods, techniques, and interpretations are widely used in new and rapidly expanding fields of medicine: research evaluation and synthesis (meta-analysis), establishment of guidelines for clinical preventive practices, new medical technology assessment, guidelines for national and international health policies, evidence-based medicine, outcomes research and disease management ('population-based' medicine and quality of care improvement). In the nearest future, infectious and noninfectious diseases may cease to be almost the sole subjects of epidemiology and they may share their place with other mass phenomena of the next millennium, such as medical practices and care, or political, social and economic actions and their consequences. Not only will primary, secondary, and tertiary Prevention will remain in the epidemiological mainstream, but health protection and health promotion will require perhaps a redefinition of epidemiology in these domains. Epidemiology and preventive medicine are both subjects of medical ethics and dilemma for right choices.

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DISTANCE MEASUREMENT IN THE AEC/FM INDUSTRY: AN OVERVIEW OF TECHNOLOGIES

  • Jasmine Hines;Abbas Rashidi;Ioannis Brilakis
    • 국제학술발표논문집
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    • The 5th International Conference on Construction Engineering and Project Management
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    • pp.616-623
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    • 2013
  • One of the oldest, most common engineering problems is measuring the dimensions of different objects and the distances between locations. In AEC/FM, related uses vary from large-scale applications such as measuring distances between cities to small-scale applications such as measuring the depth of a crack or the width of a welded joint. Within the last few years, advances in applying new technologies have prompted the development of new measuring devices such as ultrasound and laser-based measurers. Because of wide varieties in type, associated costs, and levels of accuracy, the selection of an optimal measuring technology is challenging for construction engineers and facility managers. To tackle this issue, we present an overview of various measuring technologies adopted by experts in the area of AEC/FM. As the next step, to evaluate the performance of these technologies, we select one indoor and one outdoor case and measure several dimensions using six categories of technologies: tapes, total stations, laser measurers, ultrasound devices, laser scanners, and image-based technologies. Then we evaluate the results according to various metrics such as accuracy, ease of use, operation time, associated costs, compare these results, and recommend optimal technologies for specific applications. The results also revealed that in most applications, computer vision-based technologies outperform traditional devices in terms of ease of use, associated costs, and accuracy.

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기술 성숙도 및 의존도의 네트워크 분석을 통한 유망 융합 기술 발굴 방법론 (Discovering Promising Convergence Technologies Using Network Analysis of Maturity and Dependency of Technology)

  • 최호창;곽기영;김남규
    • 지능정보연구
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    • 제24권1호
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    • pp.101-124
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    • 2018
  • 최근 다양한 분야에서 새로운 기술이 출현하고 있으며, 이들 대부분은 기존 기술들의 융합(Convergence)을 통해 형성되고 있다. 또한 가까운 미래에 출현하게 될 유망한 융합 기술을 예측함으로써 변화하는 기술 지형에 선제적으로 대응하기 위한 수요가 꾸준히 증가하고 있으며, 이러한 수요에 부응하여 많은 기관과 연구자들은 미래 유망 융합 기술 예측을 위한 분석을 수행하고 있다. 하지만 이와 관련한 기존의 많은 연구들은 (i) 고정된 기술 분류 기준을 분석에 사용함으로써 기술 분야의 동적 변화를 반영하지 못했다는 점, (ii) 예측 모형 수립 과정에서 주로 범용성 네트워크 지표를 사용함으로써 기술의 융합이라는 목적에 부합하는 고유 특성을 활용하지 못했다는 점, 그리고 (iii) 유망 분야 예측 모형의 정확성 평가를 위한 객관적 방법을 제시하지 못했다는 점 등에서 한계를 갖고 있다. 이에 본 연구에서는 (i) 토픽 모델링을 통해 기존의 고정된 분류 기준이 아닌 실제 기술시장의 동적 변화에 따른 새로운 기술군을 도출하고, (ii) 기술 성숙도 및 기술군 간 의존 관계에 따라 각 기술군의 융합적 특성을 반영하는 잠재 성장 중심성(Potential Growth Centrality) 지표를 산출하였으며, (iii) 잠재 성장 중심성에 근거하여 예측한 유망 기술의 성숙도 증가량을 시기별로 측정하여 예측 모형의 정확도를 평가하는 방안을 제시한다. 이와 더불어 제안 방법론의 성능 및 실무 적용 가능성의 평가를 위해 특허 문서 13, 477건에 대한 실험을 수행하였으며, 실험 결과 제안한 잠재 성장 중심성에 따른 예측 모형이 단순히 현재 활용되는 영향도 기반의 예측 모형에 비해 최대 약 2.88배 높은 예측 정확도를 보임을 확인하였다.