• Title/Summary/Keyword: Advanced techniques

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The Status of Soil and Groundwater Contamination in Japan and Case Studies of their Remediation (일본의 토양지하수오염 및 복원사례)

  • Komai, Takeshi;Kawabe, Yoshishige
    • Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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    • 2003.04a
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    • pp.25-39
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    • 2003
  • Risk and exposure assessment for subsurface environment is very important for both aspects of health and environmental protection as well as making decision of remedial goal for engineering activities. Exposure due to hazardous chemicals in the subsurface environment is essential to assess risk lev121 to individual person, especially from soil and groundwater environmental media. In this paper, the status of soil and groundwater contamination is presented to discuss on the problem for environmental risk assessment. The methodologies of fate and exposure models are also discussed by conducting the case studies of exposure assessment for heavy metals, organic compounds, and dioxin compounds. In addition, the structure of exposure models and available data for model calculation are examined to make clear more realistic exposure scenarios and the application to the practical environmental issues. Three kinds of advanced remediation techniques for soil and groundwater contamination are described in this paper, The most practical method for VOCs is the bio-remediation technique in which biological process due to consortium of microorganisms can be applied. For more effective remediation of soil contaminated by heavy metals we have adopted the soil flushing technique and clean-up system using electro-kinetic method. We have also developed the advanced techniques of geo-melting method for soil contaminated by DXNs and PCB compounds. These techniques are planed to introduce and to apply for a lot of contaminated sites in Japan.

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Fuzzy systems, neural networks and genetic algorithms

  • Lee, Hyung-Kwang;Lee, Jee-Hyong
    • Proceedings of the Korean Information Science Society Conference
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    • 1999.10b
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    • pp.327-332
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    • 1999
  • Fuzzy systems, neural networks and genetic algorithms have different origins and thus have differently developed their own unique characteristics. These characteristics can be used as a good complement to the others. Therefore, many researches have been devoted to not only these techniques but also fusion of them. This paper briefly summarizes these three techniques and surveys the researches on fusion of them.

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Advanced crystal growth for the development of new optical materials

  • Fukuda, Tasuguo;Shimamura, Kiyoshi
    • Proceedings of the Korea Association of Crystal Growth Conference
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    • 1996.06a
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    • pp.38-74
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    • 1996
  • Recently, the development of new crystal materials for optical applications has become a focus of considerable interest because of the progress of optoelectronic technologies. We have carried out investigations focussing on the development of new optical and electrical materials, by systematic investigations of advanced crystal growth techniques. Here, research and progress in development of new materials and crystal growth techniques is reviewed.

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A Survey of Robotic Technologies for Diagnosis and Treatment of Prostate Cancer (전립선 암 진단 및 치료를 위한 로봇기술 응용 현황)

  • Ahn, Bum-Mo;Park, Ki-Han;Lee, Hyo-Sang;Kim, Jung
    • Journal of Institute of Control, Robotics and Systems
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    • v.16 no.9
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    • pp.852-859
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    • 2010
  • Robotic techniques can be one of the promised solutions to address the prostate cancer which is one of the most important public health problems in medical fields. Despite several past and on-going dedicated researches, the systematic techniques and completed theories have not been established well. Therefore we review the state-of-the-art literature on the applications of engineering technologies with particular focus on diagnosis and treatment of prostate cancer. The current status of the elastography and systematic DRE are presented as novel diagnostic tools, and an overview of the applied technologies to address the limits of the treatment (radical prostectomy and brachytherapy) is reviewed.

Carbon Ion Therapy: A Review of an Advanced Technology

  • Kim, Jung-in;Park, Jong Min;Wu, Hong-Gyun
    • Progress in Medical Physics
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    • v.31 no.3
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    • pp.71-80
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    • 2020
  • This paper provides a brief review of the advanced technologies for carbon ion radiotherapy (CIRT), with a focus on current developments. Compared to photon beam therapy, treatment using heavy ions, especially a carbon beam, has potential advantages due to its physical and biological properties. Carbon ion beams with high linear energy transfer demonstrate high relative biological effectiveness in cell killing, particularly at the Bragg peak. With these unique properties, CIRT allows for accurate targeting and dose escalation for tumors with better sparing of adjacent normal tissues. Recently, the available CIRT technologies included fast pencil beam scanning, superconducting rotating gantry, respiratory motion management, and accurate beam modeling for the treatment planning system. These techniques provide precise treatment, operational efficiency, and patient comfort. Currently, there are 12 CIRT facilities worldwide; with technological improvements, they continue to grow in number. Ongoing technological developments include the use of multiple ion beams, effective beam delivery, accurate biological modeling, and downsizing the facility.

Remodeling Techniques for Reducing Greenhouse Gases Emissions in Existing Buildings (기존 건축물의 온실가스 감축을 위한 리모델링 기술 개발)

  • Kwon, Chul-Hwan;Park, Jong-Sup
    • Journal of the Korean Society for Advanced Composite Structures
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    • v.7 no.1
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    • pp.45-52
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    • 2016
  • There are only 10 projects of the domestic greenhouse gas(GHG) emissions trading scheme in building sector (i.e., 1.5% of 652 registered projects) because the certified methodologies to reduce GHG emissions can not be applied to building sector. This study presents remodeling techniques to reduce GHG emissions in existing buildings. First of all, preconditions and related regulations were reviewed. And then, a pool of factors for GHG reduction are selected and evaluated with respect to factors for reducing energy consumption. This study also investigates the criteria and the decision making process for remodeling techniques to reduce GHG emissions. Finally, the remodeling techniques using the decision making process were grouped based on redundancy of each effect. If reducing methodologies for GHG offset program can be developed using the analyzed remodeling techniques in this study, registered projects in building sector would be increase.

The Use of Advanced Optical Measurement Methods for the Mechanical Analysis of Shear Deficient Prestressed Concrete Members

  • Wilder, K. De;Roeck, G. De;Vandewalle, L.
    • International Journal of Concrete Structures and Materials
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    • v.10 no.2
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    • pp.189-203
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    • 2016
  • This paper investigates on the use of advanced optical measurement methods, i.e. 3D coordinate measurement machines (3D CMM) and stereo-vision digital image correlation (3D DIC), for the mechanical analysis of shear deficient prestressed concrete members. Firstly, the experimental program is elaborated. Secondly, the working principle, experimental setup and corresponding accuracy and precision of the considered optical measurement techniques are reported. A novel way to apply synthesised strain sensor patterns for DIC is introduced. Thirdly, the experimental results are reported and an analysis is made of the structural behaviour based on the gathered experimental data. Both techniques yielded useful and complete data in comparison to traditional mechanical measurement techniques and allowed for the assessment of the mechanical behaviour of the reported test specimens. The identified structural behaviour presented in this paper can be used to optimize design procedure for shear-critical structural concrete members.

Second-Order Learning for Complex Forecasting Tasks: Case Study of Video-On-Demand (복잡한 예측문제에 대한 이차학습방법 : Video-On-Demand에 대한 사례연구)

  • 김형관;주종형
    • Journal of Intelligence and Information Systems
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    • v.3 no.1
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    • pp.31-45
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    • 1997
  • To date, research on data mining has focused primarily on individual techniques to su, pp.rt knowledge discovery. However, the integration of elementary learning techniques offers a promising strategy for challenging a, pp.ications such as forecasting nonlinear processes. This paper explores the utility of an integrated a, pp.oach which utilizes a second-order learning process. The a, pp.oach is compared against individual techniques relating to a neural network, case based reasoning, and induction. In the interest of concreteness, the concepts are presented through a case study involving the prediction of network traffic for video-on-demand.

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