• Title/Summary/Keyword: Technology-Fusion research

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PROTECTION SEQUENCE OF AC/DC CONVERTERS FOR ITER PF MAGNET COILS

  • Oh, Byung-Hoon;Hwang, Churl-Kew;Lee, Kwang-Wang;Jin, Jeong-Tae;Chang, Dae-Sik;Oh, Jong-Seok;Choi, Jung-Wan;Suh, Jae-Hak;Tao, Jun;Song, In-Ho
    • Nuclear Engineering and Technology
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    • v.42 no.3
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    • pp.305-312
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    • 2010
  • The protection sequence of an AC/DC converter for an ITER PF coil system is developed in this study. Possible faults in the coil system are simulated and the results reflected in the design of a sequence to protect the coil and converter. The inductances of the current sharing reactors and thyristor numbers in parallel with the bridge arms are optimized with the designed protection sequence.

INVESTIGATION ON THE CORROSION BEHAVIOR OF HAHA-4 CLADDING BY OXIDE CHARACTERIZATION

  • Park, Jeong-Yong;Choi, Byung-Kwon;Jeong, Yong-Hwan
    • Nuclear Engineering and Technology
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    • v.41 no.2
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    • pp.149-154
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    • 2009
  • The microstructure, the corrosion behavior and the oxide properties were examined for Zr-1.5Nb-0.4Sn-0.2Fe-0.1Cr (HANA-4) alloys which were subjected to two different final annealing temperatures: $470^{\circ}C$ and $570^{\circ}C$. HANA-4 was shown to have $\ss$-enriched phase with a bcc crystal structure and Zr(Nb,Fe,Cr)$_2$ with a hcp crystal structure with $\ss$-enriched phase being more frequently observed compared with Zr(Nb,Fe,Cr)$_2$. The corrosion rate of HANA-4 was increased with an increase of the final annealing temperature in the PWR-simulating loop, $360^{\circ}C$ pure water and $400^{\circ}C$ steam conditions, which was correlated well with a reduction in the size of the columnar grains in the oxide/metal interface region. The oxide growth rate of HANA-4 was considerably affected by the alloy microstructure determined by the final annealing temperature.

Synthesis and Characterization of a Tetrathiafulvalene-Based Polymer

  • Lee, Se-Hyun;Wang, Lei;Hwang, Seok-Ho;Lee, Myong-Hoon;Jeong, Kwang-Un
    • Bulletin of the Korean Chemical Society
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    • v.33 no.5
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    • pp.1451-1456
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    • 2012
  • A novel tetrathiafulvalene (TTF)-based main-chain polymer (6TTF-polymer) was successfully synthesized via a condensation polymerization between a newly synthesized dihydroxy TTF derivative and a malonyl chloride, and its chemical structure was characterized by spectroscopic techniques. Molecular weight of the 6TTF-polymer (9,030 g/mol by gel permeation chromatography) was large enough to form the ductile film. The electrochemical and optical properties of the 6TTF-polymer were further estimated by cyclic voltammetry, ultraviolet and photoluminescence spectroscopes. The highest occupied molecular orbital level ($E_{HOMO}$=-4.79 eV) and band-gap energy ($E_g$=1.91 eV) of the 6TTF-polymer suggested that TTF-based polymer could act as a good electron donating material for the optoelectronic applications.

Spatial Downscaling of MODIS Land Surface Temperature: Recent Research Trends, Challenges, and Future Directions

  • Yoo, Cheolhee;Im, Jungho;Park, Sumin;Cho, Dongjin
    • Korean Journal of Remote Sensing
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    • v.36 no.4
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    • pp.609-626
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    • 2020
  • Satellite-based land surface temperature (LST) has been used as one of the major parameters in various climate and environmental models. Especially, Moderate Resolution Imaging Spectroradiometer (MODIS) LST is the most widely used satellite-based LST product due to its spatiotemporal coverage (1 km spatial and sub-daily temporal resolutions) and longevity (> 20 years). However, there is an increasing demand for LST products with finer spatial resolution (e.g., 10-250 m) over regions such as urban areas. Therefore, various methods have been proposed to produce high-resolution MODIS-like LST less than 250 m (e.g., 100 m). The purpose of this review is to provide a comprehensive overview of recent research trends and challenges for the downscaling of MODIS LST. Based on the recent literature survey for the past decade, the downscaling techniques classified into three groups-kernel-driven, fusion-based, and the combination of kernel-driven and fusion-based methods-were reviewed with their pros and cons. Then, five open issues and challenges were discussed: uncertainty in LST retrievals, low thermal contrast, the nonlinearity of LST temporal change, cloud contamination, and model generalization. Future research directions of LST downscaling were finally provided.

Multi-disciplinary convergence and fusion in food science and technology for future needs (미래식품분야에서의 학제 간 융·복합의 필요성과 실행 제안)

  • Shin, Dong-Hwa
    • Food Science and Industry
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    • v.49 no.4
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    • pp.19-30
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    • 2016
  • Food industry in Korea is one of the most important manufacturing field since the history of this country. Recent days all industries in the world move to $4^{th}$ industrial revolution beginning from 1st revolution. This means that connections between human to human, human to things and things to things should be settled down. food industry in this country should escape from the conventional manufacturing fields until now and accept new or cutting edge technology NT including artificial intelligence robot system and platform system using Internet of Thing. To overcome the saturation condition of domestic food market, it should be extended our market to overseas. To do this Korean food industry should be reformed the processing system to convergence and fusion inner or multi-disciplinary research in not only research field but also manufacturing field. The food industry must introduce new technology and concept of controlling all manufacturing systems. This paper present the fields should be convergence and the field study together and the new techniques, methods and new products be developed in the future.

The Study on the Market Competitiveness Reinforcement for Convergence Industry (융합산업의 시장 경쟁력 강화에 관한 연구)

  • Park, Eun-Young;Kwag, Dong-Gi
    • Journal of the Korea Convergence Society
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    • v.6 no.5
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    • pp.99-106
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    • 2015
  • The purpose of this research is to bring supportive ways to reinforce the market competitiveness of fusion industry based on the rapidly arising fusion industries considering system improvement and fusion R&D support. The research has proceeded in the order of setup for competitiveness reinforcing way of fusion industry and deduction for competitiveness reinforcing way based on directivity. It classified the fusion industry into introduction, diffusion and development by time, and suggested expert fusion R&D, open type fusion R&D, customized fusion R&D, system improvement of market entrance and supportive way for public purchase as the supportive way. It's purpose is to lead the entrance into the new fusion market, stabilize to settle into the market and create high value products by resolving difficulties for the market entrance of the new fusion products & service, reinforcing the fusion capability and securing the competitive advantage.

Maintaining the close-to-critical state of thorium fuel core of hybrid reactor operated under control by D-T fusion neutron flux

  • Bedenko, Sergey V.;Arzhannikov, Andrey V.;Lutsik, Igor O.;Prikhodko, Vadim V.;Shmakov, Vladimir M.;Modestov, Dmitry G.;Karengin, Alexander G.;Shamanin, Igor V.
    • Nuclear Engineering and Technology
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    • v.53 no.6
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    • pp.1736-1746
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    • 2021
  • The results of full-scale numerical experiments of a hybrid thorium-containing fuel cell facility operating in a close-to-critical state due to a controlled source of fusion neutrons are discussed in this work. The facility under study was a complex consisting of two blocks. The first block was based on the concept of a high-temperature gas-cooled thorium reactor core. The second block was an axially symmetrical extended plasma generator of additional neutrons that was placed in the near-axial zone of the facility blanket. The calculated models of the blanket and the plasma generator of D-T neutrons created within the work allowed for research of the neutronic parameters of the facility in stationary and pulse-periodic operation modes. This research will make it possible to construct a safe facility and investigate the properties of thorium fuel, which can be continuously used in the epithermal spectrum of the considered hybrid fusion-fission reactor.

IR and SAR Sensor Fusion based Target Detection using BMVT-M (BMVT-M을 이용한 IR 및 SAR 융합기반 지상표적 탐지)

  • Lim, Yunji;Kim, Taehun;Kim, Sungho;Song, WooJin;Kim, Kyung-Tae;Kim, Sohyeon
    • Journal of Institute of Control, Robotics and Systems
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    • v.21 no.11
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    • pp.1017-1026
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    • 2015
  • Infrared (IR) target detection is one of the key technologies in Automatic Target Detection/Recognition (ATD/R) for military applications. However, IR sensors have limitations due to the weather sensitivity and atmospheric effects. In recent years, sensor information fusion study is an active research topic to overcome these limitations. SAR sensor is adopted to sensor fusion, because SAR is robust to various weather conditions. In this paper, a Boolean Map Visual Theory-Morphology (BMVT-M) method is proposed to detect targets in SAR and IR images. Moreover, we suggest the IR and SAR image registration and decision level fusion algorithm. The experimental results using OKTAL-SE synthetic images validate the feasibility of sensor fusion-based target detection.

Learning Curve and Complications Experience of Oblique Lateral Interbody Fusion : A Single-Center 143 Consecutive Cases

  • Oh, Bu Kwang;Son, Dong Wuk;Lee, Su Hun;Lee, Jun Seok;Sung, Soon Ki;Lee, Sang Weon;Song, Geun Sung
    • Journal of Korean Neurosurgical Society
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    • v.64 no.3
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    • pp.447-459
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    • 2021
  • Objective : Oblique lateral interbody fusion (OLIF) is becoming the preferred treatment for degenerative lumbar diseases. As beginners, we performed 143 surgeries over 19 months. In these consecutive cases, we analyzed the learning curve and reviewed the complications in our experience. Methods : This was a retrospective study; however, complications that were well known in the previous literature were strictly recorded prospectively. We followed up the changes in estimated blood loss (EBL), operation time, and transient psoas paresis according to case accumulation to analyze the learning curve. Results : Complication-free patients accounted for 43.6% (12.9%, early stage 70 patients and 74.3%, late stage 70 patients). The most common complication was transient psoas paresis (n=52). Most of these complications occurred in the early stages of learning. C-reactive protein normalization was delayed in seven patients (4.89%). The operation time showed a decreasing trend with the cases; however, EBL did not show any significant change. Notable operation-induced complications were cage malposition, vertebral body fracture, injury to the ureter, and injury to the lumbar vein. Conclusion : According to the learning curve, the operation time and psoas paresis decreased. It is important to select an appropriately sized cage along with clear dissection of the anterior border of the psoas muscle to prevent OLIF-specific complications.

Learning-Based Multiple Pooling Fusion in Multi-View Convolutional Neural Network for 3D Model Classification and Retrieval

  • Zeng, Hui;Wang, Qi;Li, Chen;Song, Wei
    • Journal of Information Processing Systems
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    • v.15 no.5
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    • pp.1179-1191
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    • 2019
  • We design an ingenious view-pooling method named learning-based multiple pooling fusion (LMPF), and apply it to multi-view convolutional neural network (MVCNN) for 3D model classification or retrieval. By this means, multi-view feature maps projected from a 3D model can be compiled as a simple and effective feature descriptor. The LMPF method fuses the max pooling method and the mean pooling method by learning a set of optimal weights. Compared with the hand-crafted approaches such as max pooling and mean pooling, the LMPF method can decrease the information loss effectively because of its "learning" ability. Experiments on ModelNet40 dataset and McGill dataset are presented and the results verify that LMPF can outperform those previous methods to a great extent.