• Title/Summary/Keyword: 이선형 모델

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The Covering of the Suture Area with an Absorbable Cellulose Mesh and Fibrin Glue in Bullectomy of Primary Spontaneous Pneumothorax (일차성 자연기흉의 수술시 흡수성 셀룰로스 망사 및 Fibrin glue의 도포와 재발에 대한 임상적 고찰)

  • 허동명;김병호
    • Journal of Chest Surgery
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    • v.34 no.5
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    • pp.393-398
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    • 2001
  • 배경: 일차성 자연기흉의 재발방지를 위해서 폐기포절부위에 흡수성 셀룰로스망사와 Fibrin gluefm 도포하여 수술후 재발율을 줄일 수 있는 지 알아보았다. 대상 및 방법: 1996.4우러부터 2000.6월까지 2명의 술자가 222례의 일차성 자연기흉을 수술하였으며, 수술시기와 치료방법에 따라 4군으로 나누어 비교하였다. 제1군은 1996년부터 1997년가지 비디오흉강경수술 및 기계적 늑막유착술로 시술받은 군(25례), 제 2군은 같은 기간동안 액와개흉술 및 늑막유착술로 시술받은 군(53례), 제 3군은 1998년부터 2000.4월까지 흉강경수술 및 늑만유착술로시술받은 군(110례), 제 4군은 1999.7월부터 2000.6월까지 흉강경수술 및 봉합부위를 셀룰로스망사와 Fibrin glue로 보강한 군(34례)이었다. 각 군간, 엑스선상 기흉의 크기 및 폐기포의 수나 크기에 따라 재발율, 공기누출시간 및 흉관지속지간등을 일반선형모델을 사용하여 비교 분석하였다. 결과: 대상환자는 남자 203례, 여자 19례 이었고, 나이는 14게에서 68세이었고, 평균연령은 23.2$\pm$9.6세였다. 재발한 경우는제 1군이 5례(25%), 제 2군이 2례(3.8%), 제 3군이 5례(4.5%)이었고, 제 4군은 재발례가 없었다. 재발례는 모두 수술자의 수술경험이 2년이내일 때 발생하였다. 흉관지속기간은 제 4군이 제 3군(p<0.0006) 및 제1, 제2군(p<0.0001)에 비해서 더 짧았고, 술후 공기누출이 제 4군에서는 없었다. 술전흉부엑스선상 기흉의 크기에 따른 수술후 기흉의 재발울은 경도의 기흉에서 14.3%(2/14)이었고, 중등도 기흉에서 7.4%(10/134)이었으며, 심한 기흉에서는 재발례가 없었다. 재수술한 12례중 봉합부위근처에서 기포가 발행된 경우가 9례(75%)로 많았다. 결론: 재발방지를 위한 시술로 늑막유착술을 시행하지 않고 폐기포절제부위를 흡수성 셀룰로스망사와 Fibrin glue로 덮어주는 시술은 비교적 용이하며, 수술 후 공기 누출이 없었고, 수술 후 흉관지속기간이 더 짧았고, 단기간 추적에서 재발이 없었다. 재발에 영향을 미치는 것으로 흉부엑스선상 기흉의 크기가 작은 경우에는 재발율이 더 높았고, 수술자의 경험이 중요하였다.

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Fluid-structure Interaction Analysis of Large Sandwich Panel Structure for Randomly Distributed Wind Load considering Gust Effects (거스트 영향이 고려된 랜덤 분포 풍하중에 대한 대형 샌드위치 패널 구조물의 유체-구조 연성해석)

  • Park, Dae Woong
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.23 no.12
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    • pp.1035-1044
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    • 2013
  • Because of the high specific stiffness and strength inherent in the sandwich structure composed of facesheet that resists in-plane loads and a core that resists out-of-plane loads, it is often used for large and light-weighted structures. However, inevitably the increased flexibility allows greater deformation-based disturbances in the structures. Thus, it is necessary to analyze the structural safety. To obtain more accurate analytical results, the input disturbances must more closely simulate real load conditions; to improve accuracy, non-linear elements such as gust effects were considered. In addition, the structural safety was analyzed for the iso-grid sandwich panel structure using fluid-structure interactions. For a more realistic simulation, flow velocity fields, which consider the effects of irregular gust fluctuation, were generated and the coupled field was analyzed by mapping the pressure and displacement.

A Study on Game Contents Classification Service Method using Image Region Segmentation (칼라 영상 객체 분할을 이용한 게임 콘텐츠 분류 서비스 방안에 관한 연구)

  • Park, Chang Min
    • Journal of Service Research and Studies
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    • v.5 no.2
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    • pp.103-110
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    • 2015
  • Recently, Classification of characters in a 3D FPS game has emerged as a very significant issue. In this study, We propose the game character Classification method using Image Region Segmentation of the extracting meaningful object in a simple operation. In this method, first used a non-linear RGB color model and octree color quantization scheme. The input image represented a less than 20 quantized color and uses a small number of meaningful color histogram. And then, the image divided into small blocks, calculate the degree of similarity between the color histogram intersection and adjacent block in block units. Because, except for the block boundary according to the texture and to extract only the boundaries of the object block. Set a region by these boundary blocks as a game object and can be used for FPS game play. Through experiment, we obtain accuracy of more than 80% for Classification method using each feature. Thus, using this property, characters could be classified effectively and it draws the game more speed and strategic actions as a result.

Seismic Design of Columns in Inverted V-braced Steel Frames Considering Brace Buckling (가새좌굴을 고려한 역 V형 가새골조의 기둥부재 내진설계법)

  • Cho, Chun-Hee;Kim, Jung-Jae;Lee, Cheol-Ho
    • Journal of Korean Society of Steel Construction
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    • v.22 no.1
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    • pp.1-12
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    • 2010
  • According to the capacity design concept which forms the basis of the current steel seismic codes, the braces in concentrically braced frames (CBFs) should dissipate seismic energy through cyclic tension yielding and cyclic compression buckling while the beams and the columns should remain elastic. Brace buckling in inverted V-braced frames induces unbalanced vertical forces which, in turn, impose the additional beam moments and column axial forces. However, due to difficulty in predicting the location of buckling stories, the most conservative approach implied in the design code is to estimate the column axial forces by adding all the unbalanced vertical forces in the upper stories. One alternative approach, less conservative and recommended by the current code, is to estimate the column axial forces based on the amplified seismic load expected at the mechanism-level response. Both are either too conservative or lacking technical foundation. In this paper, three combination rules for a rational estimation of the column axial forces were proposed. The idea central to the three methods is to detect the stories of high buckling potential based on pushover analysis and dynamic behavior. The unbalanced vertical forces in the stories detected as high buckling potential are summed in a linear manner while those in other stories are combined by following the SRSS(square root of sum of squares) rule. The accuracy and design advantage of the three methods were validated by comparing extensive inelastic dynamic analysis results. The mode-shape based method(MSBM), which is both simple and accurate, is recommended as the method of choice for practicing engineers among the three.

Methodologic Aspect of LINAC-based Stereotactic Radiosurgery (선형가속기 기반 뇌정위 방사선 수술기법)

  • Choi, Tae Jin
    • Progress in Medical Physics
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    • v.23 no.3
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    • pp.127-137
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    • 2012
  • A conversing beam is firstly designed for radiosurgery by a neurosugern Lars Leksell in 1949 with orthogonal x-rays tube moving through horizontal moving arc to focusing the beam at target center. After 2 decades he composits 201 source of the Co-60 for gamma knife which beams focused at locus. Sveral linac-based stereotactic radiosurgery using the circular collimated beam which size range for 0.4~4.0 cm in a diameter by non-coplanar multiarc have been developed over the decades. The irregular lesions can be treated by superimposing with several spherical shots of radiation over the tumour volume. Linac based techniques include the use of between 4 and 11 non-co-planar arcs and a dynamic rotation technique and use photon beam energies in the range of 6~10 MV. Reviews of the characteristics of several treatment techniques can be found in the literature (Podgorsak 1989, Schell 1991). More in recent, static conformal beams defined by custom shaped collimators or a mini- or micro-multileaf collimator (mMLC) have been used in SRS. Finally, in the last few years, intensity-modulated mMLC SRS has also been introduced. Today, many commercial and in-house SRS programs have also introduced non-invasive immobilization systems include the cyberknife and tomotherapy and proton beam. This document will be compared the characteristics of dose distribution of radiosurgery as introduced gamma knife, BrainLab include photon knife in-house SRS program and cyberknife in currently wide used for a cranial SRS.

Prediction of Wave Breaking Using Machine Learning Open Source Platform (머신러닝 오픈소스 플랫폼을 활용한 쇄파 예측)

  • Lee, Kwang-Ho;Kim, Tag-Gyeom;Kim, Do-Sam
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.32 no.4
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    • pp.262-272
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    • 2020
  • A large number of studies on wave breaking have been carried out, and many experimental data have been documented. Moreover, on the basis of various experimental data set, many empirical or semi-empirical formulas based primarily on regression analysis have been proposed to quantitatively estimate wave breaking for engineering applications. However, wave breaking has an inherent variability, which imply that a linear statistical approach such as linear regression analysis might be inadequate. This study presents an alternative nonlinear method using an neural network, one of the machine learning methods, to estimate breaking wave height and breaking depth. The neural network is modeled using Tensorflow, a machine learning open source platform distributed by Google. The neural network is trained by randomly selecting the collected experimental data, and the trained neural network is evaluated using data not used for learning process. The results for wave breaking height and depth predicted by fully trained neural network are more accurate than those obtained by existing empirical formulas. These results show that neural network is an useful tool for the prediction of wave breaking.

Least Cost and Optimum Mixing Programming by Yulmu Mixture Noddle (율무국수를 이용한 최소가격/최적배합 프로그래밍)

  • Kim, Sang-Soo;Kim, Byung-Yong;Hahm, Young-Tae;Shin, Dong-Hoon
    • Korean Journal of Food Science and Technology
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    • v.31 no.2
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    • pp.385-390
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    • 1999
  • Noodle was made using a combination of yulmu, wheat and water through mixture design. Statistical models of yulmu noodle were shown by analysing tensile stress and color $(L^{*})$, and sensory evaluation with other constraints. Analysing the linear and non-linear model, the linearity in the values of tensile stress, lightness $(L^{*})$ and sensory evaluation showed that each component worked separately without interactions. In studying the component effect on the response by trace plot, the result indicated that the increase in the amount of yulmu enhanced tensile stress of noodle while degrading $L^{*}$ value and sensory evaluation score. In the range of satisfying the conditions of noodle in every tensile stress, $L^{*}$ value and sensory evaluation point, the optimum mixture ratio of yulmu : wheat : water was 2.27% : 66.28% : 28.45% based on least cost linear programming. In this calculation, the least cost was 9.924 and estimated potential results of the response for tensile stress was 2.234 N and those for $L^{*}$ was 82.39. Finally, the potential response results affected by mixture ratio of yulmu, wheat and water were screened using Excel.

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Study of $\textrm{IMFAST}^{TM}$ Segmentation Algorithm with CORVUS TPS for Intensity Modulated Radiation Therapy (세기조절 방사선 치료에서 CORVUS TPS를 이용한 $\textrm{IMFAST}^{TM}$ Segmentation Algorithm의 연구)

  • Lee, Se-Byeong;Jino Bak;Cho, Kwang-Hwan;Chu, Sung-Sil;Lee, Chang-Geol;Lee, Suk;Hongryll Pyo;Suh, Chang-Ok
    • Progress in Medical Physics
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    • v.13 no.4
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    • pp.181-186
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    • 2002
  • The IMRT planning depends on the algorithm of each planning system and MLC performance of each Linac system. Yonsei Cancer Center introduced an IMRT System at the beginning of February, 2002. The system consists of CORVUS (Nomos, U.S.A.) treatment planning system, LANTIS, PRIMEVIEW and PRIMART (Siemens, U.S.A) linac system. The optimization of CORVUS planning system with PRIMART is an important task to make a desirable quality treatment plan. Our Step & Shoot IMRT system uses Finite Size Pencil Beams (FSPB) dose model, simulated annealing optimization algorithm and IMFAST segmentation algorithm. We constructed treatment plans for four different patient cases with two basic beamlet sizes, 1.0$\times$1.0 $\textrm{cm}^2$ and 0.5$\times$1.0 $\textrm{cm}^2$, and four intensity steps, 5%, 10%, 20%, 33%. Each case's plan was evaluated with the dose volume histograms of target volumes and delivery efficiencies. The patient case of small target volume is sensitive at the change of intensity map's segmentation and it highlighted an effective treatment plan at marrow intensity step and small basic projection beamlet.

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Reliability Analysis of VOC Data for Opinion Mining (오피니언 마이닝을 위한 VOC 데이타의 신뢰성 분석)

  • Kim, Dongwon;Yu, Song Jin
    • Journal of Intelligence and Information Systems
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    • v.22 no.4
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    • pp.217-245
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    • 2016
  • The purpose of this study is to verify how 7 sentiment domains extracted through sentiment analysis from social media have an influence on business performance. It consists of three phases. In phase I, we constructed the sentiment lexicon after crawling 45,447 pieces of VOC (Voice of the Customer) on 26 auto companies from the car community and extracting the POS information and built a seven-sensitive domains. In phase II, in order to retain the reliability of experimental data, we examined auto-correlation analysis and PCA. In phase III, we investigated how 7 domains impact on the market share of three major (GM, FCA, and VOLKSWAGEN) auto companies by using linear regression analysis. The findings from the auto-correlation analysis proved auto-correlation and the sequence of the sentiments, and the results from PCA reported the 7 sentiments connected with positivity, negativity and neutrality. As a result of linear regression analysis on model 1, we indentified that the sentimental factors have a significant influence on the actual market share. In particular, not only posotive and negative sentiment domains, but neutral sentiment had significantly impacted on auto market share. As we apply the availability of data to the market, and take advantage of auto-correlation of the market-related information and the sentiment, the findings will be a huge contribution to other researches on sentiment analysis as well as actual business performances in various ways.

Effect of Demand Spectrums on the Accuracy of Capacity Spectrum Method (요구곡선 산정방법에 따른 능력스펙트럼법의 유효성 평가 및 비교)

  • Kim, Hong-Jin;Min, Kyung-Won;Park, Min-Kyu
    • Journal of the Earthquake Engineering Society of Korea
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    • v.8 no.3
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    • pp.33-42
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    • 2004
  • While transforming the inelastic system into the equivalent elastic one gives an advantage of simpler analysis, the actual inelastic behavior of the system is hardly modeled in the capacity spectrum method (CSM). Therefore, the accuracy of CSM depends on the precise estimation of equivalent period and damping ratio as well as the modification of the elastic response spectrum and the corresponding demand spectrum. In this paper, the effect of demand spectrums on the accuracy of CSM is evaluated. First, the response reduction factors provided in ATC-40 and Euro Code are evaluated. Numerical analysis results indicated that the acceleration responses obtained using the factor of Euro Code are closer to the actual response than those obtained using the factors of ATC-40. Next, the accuracy of CSM is evaluated constructing the demand spectrum using the absolute acceleration responses and pseudo acceleration responses. The results obtained using the absolute acceleration responses were found to be generally larger than those obtained using the pseudo ones. Since CSM often underestimates the response, the use of absolute acceleration response gives the response relatively closer to the exact ones. However, the difference becomes negligible as the hardening ratio and the yield strength ratio become larger.