• 제목/요약/키워드: Technology Transfer Performance Index

검색결과 31건 처리시간 0.032초

Understanding the Current State of Deep Learning Application to Water-related Disaster Management in Developing Countries

  • Yusuff, Kareem Kola;Shiksa, Bastola;Park, Kidoo;Jung, Younghun
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2022년도 학술발표회
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    • pp.145-145
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    • 2022
  • Availability of abundant water resources data in developing countries is a great concern that has hindered the adoption of deep learning techniques (DL) for disaster prevention and mitigation. On the contrary, over the last two decades, a sizeable amount of DL publication in disaster management emanated from developed countries with efficient data management systems. To understand the current state of DL adoption for solving water-related disaster management in developing countries, an extensive bibliometric review coupled with a theory-based analysis of related research documents is conducted from 2003 - 2022 using Web of Science, Scopus, VOSviewer software and PRISMA model. Results show that four major disasters - pluvial / fluvial flooding, land subsidence, drought and snow avalanche are the most prevalent. Also, recurrent flash floods and landslides caused by irregular rainfall pattern, abundant freshwater and mountainous terrains made India the only developing country with an impressive DL adoption rate of 50% publication count, thereby setting the pace for other developing countries. Further analysis indicates that economically-disadvantaged countries will experience a delay in DL implementation based on their Human Development Index (HDI) because DL implementation is capital-intensive. COVID-19 among other factors is identified as a driver of DL. Although, the Long Short Term Model (LSTM) model is the most frequently used, but optimal model performance is not limited to a certain model. Each DL model performs based on defined modelling objectives. Furthermore, effect of input data size shows no clear relationship with model performance while final model deployment in solving disaster problems in real-life scenarios is lacking. Therefore, data augmentation and transfer learning are recommended to solve data management problems. Intensive research, training, innovation, deployment using cheap web-based servers, APIs and nature-based solutions are encouraged to enhance disaster preparedness.

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적대적생성신경망을 이용한 연안 파랑 비디오 영상에서의 빗방울 제거 및 배경 정보 복원 (Raindrop Removal and Background Information Recovery in Coastal Wave Video Imagery using Generative Adversarial Networks)

  • 허동;김재일;김진아
    • 한국컴퓨터그래픽스학회논문지
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    • 제25권5호
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    • pp.1-9
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    • 2019
  • 본 논문에서는 강우시 빗방울로 인해 왜곡된 연안 파랑 비디오 영상에서 빗방울 제거와 제거된 영역에 대한 배경 정보를 복원하기 위한 적대적생성신경망을 이용한 영상 강화 방법을 제안하고자 한다. 영상 변환에 널리 사용되는 Pix2Pix 네트워크와 현재 단일 이미지에 대한 빗방울 제거에 좋은 성능을 보여주고 있는 Attentive GAN을 실험 대상 모델로 구현하고, 빗방울 제거를 위한 공개 데이터 셋을 이용하여 두 모델을 학습한 후 빗방울 왜곡 연안 파랑 영상의 빗방울 제거 및 배경 정보 복원 성능을 평가하였다. 연안 파랑 비디오에 영상에 대한 빗방울 왜곡 보정 성능을 향상시키기 위해 실제 연안에서 빗방울 유무가 짝을 이룬 데이터 셋을 직접 획득한 후 사전 학습된 모델에 대하여 전이 학습에 사용하여 빗방울 왜곡 보정에 대한 성능 향상을 확인하였다. 모델의 성능은 빗방울 왜곡 영상으로부터 파랑 정보 복원 성능을 최대 신호 대 잡음비와 구조적 유사도를 이용하여 평가하였으며, 전이 학습을 통해 파인 튜닝된 Pix2Pix 모델이 연안 파랑 비디오 영상의 빗방울 왜곡에 대한 가장 우수한 복원 성능을 보였다.

평활화 알고리즘에 따른 자궁경부 분류 모델의 성능 비교 연구 (A Performance Comparison of Histogram Equalization Algorithms for Cervical Cancer Classification Model)

  • 김윤지;박예랑;김영재;주웅;남계현;김광기
    • 대한의용생체공학회:의공학회지
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    • 제42권3호
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    • pp.80-85
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    • 2021
  • We developed a model to classify the absence of cervical cancer using deep learning from the cervical image to which the histogram equalization algorithm was applied, and to compare the performance of each model. A total of 4259 images were used for this study, of which 1852 images were normal and 2407 were abnormal. And this paper applied Image Sharpening(IS), Histogram Equalization(HE), and Contrast Limited Adaptive Histogram Equalization(CLAHE) to the original image. Peak Signal-to-Noise Ratio(PSNR) and Structural Similarity index for Measuring image quality(SSIM) were used to assess the quality of images objectively. As a result of assessment, IS showed 81.75dB of PSNR and 0.96 of SSIM, showing the best image quality. CLAHE and HE showed the PSNR of 62.67dB and 62.60dB respectively, while SSIM of CLAHE was shown as 0.86, which is closer to 1 than HE of 0.75. Using ResNet-50 model with transfer learning, digital image-processed images are classified into normal and abnormal each. In conclusion, the classification accuracy of each model is as follows. 90.77% for IS, which shows the highest, 90.26% for CLAHE and 87.60% for HE. As this study shows, applying proper digital image processing which is for cervical images to Computer Aided Diagnosis(CAD) can help both screening and diagnosing.

원형 단면관 내 미세 휜의 형상 변화에 따른 열.유동 특성 및 최적 형상 개발에 관한 수치 해석 (Numerical Investigation of Thermal Characteristics and Geometrical Optimization in circular tubes with micro fins)

  • 한동혁;이규정
    • 대한설비공학회:학술대회논문집
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    • 대한설비공학회 2006년도 하계학술발표대회 논문집
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    • pp.1113-1118
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    • 2006
  • A numerical investigation of single phase heat and flow characteristics in circular tubes with a single set of spiral micro fins was performed with varying geometrical parameters like fin height, spiral angle, and number of fins. The properties of $40^{\circ}C$ water was used as a working fluid to simulate a condenser and the RNG $k-{\epsilon}$ turbulence model was adopted. Calculation results were obtained in fully developed turbulent flow with constant surface heat flux boundary condition. Relative terms were introduced to investigate the substitution effect of conventional smooth tubes. The dimensionless terms were the heat transfer enhancement factor, the pressure drop penalty factor, and the efficiency index. Additionally, a numerical optimization was carried out to maximize thermal performance with the concept of the robust design. A statistical analysis showed that fin height interacts with number of fins and spiral angle.

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Frequency Stabilization Method for Grid Integration of Large-scale Centralized Wind Farms via VSC-HVDC Technology

  • Peng, Yanjian;Li, Yong;Liu, Fang;Xu, Zhiwei;Cao, Yijia
    • Journal of Power Electronics
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    • 제18권2호
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    • pp.547-557
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    • 2018
  • This work proposes a control method of frequency stabilization for grid integration of large-scale wind farms via the voltage source converter-based high-voltage direct current (VSC-HVDC) technology. First, the topology of grid integration of a large-scale wind farm via the VSC-HVDC link is provided, and simple control strategies for wind turbines, wind farm side VSC (WFVSC), and grid side VSC are presented. Second, a mathematical model between the phase angle of WFVSC and the frequency of the wind farm is established. The control principle of the large-scale wind power integrated system is analyzed in theory in accordance with the mathematical model. Third, frequency and AC voltage controllers of WFVSC are designed based on the mathematical model of the relationships between the phase angle of WFVSC and the frequency of the wind farm, and between the modulation index of WFVSC and the voltage of the wind farm. Corresponding controller structures are established by deriving a transfer function, and an optimization method for selecting the parameters of the frequency controller is presented. Finally, a case study is performed under different operating conditions by using the DIgSILENT/PowerFactory software. Results show that the proposed control method has good performance in the frequency stabilization of the large-scale wind power integrated system via the VSC-HVDC technology.

Performance and analysis of wireless power charging system from room temperature to HTS magnet via strong resonance coupling method

  • Chung, Y.D.;Lee, C.Y.;Lee, S.Y.;Lee, T.W.;Kim, J.S.
    • 한국초전도ㆍ저온공학회논문지
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    • 제18권1호
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    • pp.41-45
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    • 2016
  • The technology of supplying the electric power by wireless power transfer (WPT) is expected for the next generation power feeding system since it can supply the power to portable devices without any connectors through large air gap. As such a technology based on strongly coupled electromagnetic resonators is possible to deliver the large power and recharge them seamlessly; it has been considered as a noble option to wireless power charging system in the various power applications. Recently, various HTS wires have now been manufactured for demonstrations of transmission cables, motors, MAGLEV, and other electrical power components. However, since the HTS magnets have a lower index n value intrinsically, they are required to be charged from external power system through leads or internal power system. The portable area is limited as well as the cryogen system is bulkier. Thus, we proposed a novel design of wireless power charging system for superconducting HTS magnet (WPC4SM) based on resonance coupling method. As the novel system makes possible a wireless power charging using copper resonance coupled coils, it enables to portable charging conveniently in the superconducting applications. This paper presented the conceptual design and operating characteristics of WPC4SM using different shapes' copper resonance coil. The proposed system consists of four components; RF generator of 370 kHz, copper resonance coupling coils, impedance matching (IM) subsystem and HTS magnet including rectifier system.

설비공학 분야의 최근 연구 동향 : 2007년 학회지 논문에 대한 종합적 고찰 (Recent Progress in Air Conditioning and Refrigeration Research : A Review of Papers Published in the Korean Journal of Air-Conditioning and Refrigeration Engineering in 2007)

  • 한화택;신동신;최창호;이대영;김서영;권용일
    • 설비공학논문집
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    • 제20권12호
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    • pp.844-861
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    • 2008
  • The papers published in the Korean Journal of Air-Conditioning and Refrigeration Engineering during the year of 2007 have been reviewed. Focus has been put on current status of research in the aspect of heating, cooling, ventilation, sanitation and building environments. The conclusions are as follows. (1) The research trends of fluid engineering have been surveyed as groups of general fluid flow, fluid machinery and piping, etc. New research topics include micro nano fluid, micropump and fuel cell. Traditional CFD was still popular and widely used in research and development. Studies about fans and pumps were performed in the field of fluid machinery. Characteristics of flow and fin shape optimization are studied in the field of piping system. (2) The research works on heat transfer have been reviewed in the field of heat transfer characteristics, heat exchangers, and desiccant cooling systems. The research on heat transfer characteristics includes thermal transport in pulse tubes, high temperature superconductors, ground heat exchangers, fuel cell stacks and ice slurry systems. For the heat 'exchangers, the research on pin-tube heat exchanger, plate heat exchanger, condensers and gas coolers has been cordially implemented. The research works on heat transfer augmenting tubes have been also reported. For the desiccant cooling systems, the studies on the design and operating conditions for desiccant rotors as well as performance index are noticeable. (3) In the field of refrigeration, many papers were presented on the air conditioning system using CO2 as a refrigerant. The issues on the two-stage compression, the oil selection, and the appropriate oil charge were treated. The subjects of alternative refrigerants were also studied steadily. Hydrocarbons, DME and their mixtures were considered and various heat transfer correlations were proposed. (4) Research papers have been reviewed in the field of building facilities by grouping into the researches on heat and cold sources, air conditioning and air cleaning, ventilation and fire research including tunnel ventilation, flow control of piping system, and sound research with drain system. Main focuses have been addressed to the promotion of efficient or effective use of energy, which helps to save energy and results in reduced environmental pollution and operating cost. (5) Studies were mostly focused on analyzing the indoor environment in various spaces like cars, old tombs, machine rooms, and etc. in an architectural environmental field. Moreover, subjects of various fields such as the evaluation of noise, thermal environment, indoor air quality and development of energy analysis program were researched by various methods of survey, simulation, and field experiment.

신선 버섯의 수확 후 관리 기술과 관련된 특허 동향 분석 (Patent trend analysis for postharvest technology of fresh mushrooms)

  • 최지원;김수연;최미희;임수연;양해조;신일섭;홍윤표
    • 한국버섯학회지
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    • 제18권3호
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    • pp.280-285
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    • 2020
  • 신선 버섯의 수확 후 관리 기술은 2000년대까지 출원의 증가와 감소를 반복하는 경향을 보이다가 2010년대에 들어서 꾸준한 증가세를 나타내고 있어, 신선 농산물의 수확 후 관리 기술이 시대의 흐름에 부합하는 기술임을 알 수 있다. 주요 출원인에 대한 특허출원은 일본이 전체 출원 중에서 가장 많은 특허를 출원하였으며 대부분의 국가에서 내국인의 특허출원 비중이 높게 나타나 자국 중심의 출원 경향을 보이고 있다. 신선 버섯의 수확 후 포장 기술은 초반에 출원인 및 출원 건수가 감소하였다가, 최근 출원인 및 출원 건수가 증가하여 회복기 단계에 있으며, 저장기술은 최근 출원인 수와 출원 건수가 대폭 증가하여 성장기의 단계로 평가된다. 신선 버섯의 수확 후 관리 기술은 주로 다국적 기업과 국가 연구기관에서 다수의 특허를 보유하고 있는 것으로 나타났으며, 이는 해당 기술의 연구개발 및 상업화가 활발하게 이루어지고 있음을 시사하였다.

인공지능 기술에 관한 가트너 하이프사이클의 네트워크 집단구조 특성 및 확산패턴에 관한 연구 (Structural features and Diffusion Patterns of Gartner Hype Cycle for Artificial Intelligence using Social Network analysis)

  • 신선아;강주영
    • 지능정보연구
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    • 제28권1호
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    • pp.107-129
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    • 2022
  • 기술경쟁이 심화되고 있는 오늘날 신기술에 대한 선도적 위치의 선점이 중요하다. 선도적 위치의 선점과 적정시점에 기술 획득·관리를 위해 이해관계자들은 지속적으로 기술에 대한 탐색활동을 수행한다. 이를 위한 참고 자료로서 가트너 하이프 사이클(Gartner Hype Cycle)은 중요한 의미가 있다. 하이프 사이클은 기술수명주기(S-curve)와 하이프 수준(Hype Level)을 결합하여 새로운 기술에 대한 대중의 기대감을 시간의 흐름에 따라 나타낸 그래프이다. 새로운 기술에 대한 기대는 기술사업화뿐만 아니라 연구개발 투자의 정당성, 투자유치를 위한 기회의 발판이 된다는 점에서 연구개발 담당자 및 기술투자자의 관심이 높다. 그러나 산업계의 높은 관심에 비해 실증분석을 시도한 선행연구는 다양하지 못하다. 선행문헌 분석결과 데이터 종류(뉴스, 논문, 주가지수, 검색 트래픽 등)나 분석방법은 한정적이었다. 이에 본 연구에서는 확산의 주요한 채널이 되어가고 있는 소셜네트워크서비스의 데이터를 활용하여 'Gartner Hype Cycle for Artificial Intelligence, 2021'의 단계별 기술들에 대한 집단구조(커뮤니티)의 특성과 커뮤니티 간 정보 확산패턴을 분석하고자 한다. 이를 위해 컴포넌트 응집규모(Component Cohesion Size)를 통해 각 단계별 구조적 특성과 연결중심화(Degree Centralization)와 밀도(Density)를 통해 확산의 방식을 확인하였다. 연구결과 기술을 수용하는 단계별 집단들의 커뮤니케이션 활동이 시간이 지날 수록 분절이 커지며 밀도 역시 감소함을 확인하였다. 또한 새로운 기술에 대한 관심을 촉발하는 혁신태동기 집단의 경우 정보확산을 촉발하는 외향연결(Out-degree) 중심화 지수가 높았으며, 이후의 단계는 정보를 수용하는 내향연결(In-degree) 중심화 지수가 높은 것으로 나타났다. 해당 연구를 통해 하이프 사이클에 관한 이론적 기초를 제공할 것이다. 또한 인공지능기술에 대한 기술관심집단들의 기대감을 반영한 정보확산의 특성과 패턴을 소셜데이터를 통해 분석함으로써 기업의 기술투자 의사결정에 새로운 시각을 제공할 것이다.

회전운동 시스템의 정밀도 시뮬레이션 기술 (Accuracy Simulation of Precision Rotary Motion Systems)

  • 황주호;심종엽;홍성욱;이득우
    • 한국정밀공학회지
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    • 제28권3호
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    • pp.285-291
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    • 2011
  • The error motion of a machine tool spindle directly affects the surface errors of machined parts. The error motions of the spindle are not desired errors in the three linear direction motions and two rotating motions. Those are usually due to the imperfect of bearings, stiffness of spindle, assembly errors, external force or unbalance of rotors. The error motions of the spindle have been needed to be decreased to desired goal of spindle's performance. The level of error motion is needed to be estimated during the design and assembly process of the spindle. In this paper, the estimation method for the five degree of freedom (5 D.O.F) error motions of the spindle is suggested. To estimate the error motions of the spindle, waviness of shaft and bearings, external force model was used as input data. And, the estimation models are considering geometric relationship and force equilibrium of the five degree of the freedom. To calculate error motions of the spindle, not only imperfection of the shaft, bearings, such as rolling element bearing, hydrostatic bearing, and aerostatic bearing, but also driving elements such as worm, pulley, and direct driving motor systems, were considered.