• 제목/요약/키워드: Fractal Analysis

검색결과 331건 처리시간 0.028초

Engineering Geological Characteristics of Freeze-Thaw Weathered Gneiss in the Wonju Area, Korea

  • Um, Jeong-Gi;Woo, Ik;Park, Hyuck Jin
    • 지질공학
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    • 제24권2호
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    • pp.161-169
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    • 2014
  • We present the results of an experimental physical weathering study that focuses on fresh and slightly weathered gneiss samples from the Wonju area of Korea. The study investigated changes in the physico-mechanical properties of these samples during accelerated laboratory-based weathering, including analyses of microfracture formation. The deteriorated samples used in the study were subjected to 100-150 freeze-thaw cycles, with index properties and microfracture geometries measured between each cycle. Each complete freeze-thaw cycle lasted 24 hours, and consisted of 2 hours of saturation in a vacuum chamber, 8 hours of freezing at $-21^{\circ}C{\pm}1^{\circ}C$, and 14 hours of thawing at room temperature. Specific gravity and seismic velocity values were negatively correlated with the number of freeze-thaw cycles, whereas absorption values tended to increase. The amount of deterioration of the rock samples was dependent on the degree of weathering of the rock prior to the start of the analysis. Absorption, specific gravity, and seismic velocity values can be used to infer the amount of physical weathering experienced by a gneiss in the study area. The sizes and density of microfracture in the rock specimens varied with the number of freeze-thaw cycles. We found that box fractal dimensions can be used to quantify the formation and propagation of microfracture in the samples. In addition, these box fractal dimensions can be used as a weathering index for the mid-and long-term prediction of rock weathering. The present results indicate that accelerated-weathering analysis can provide a detailed overview of the weathering characteristics of deteriorated rocks.

Computer Tomography as a Tool for Physical Analysis in an Anthropogenic Soil

  • Chun, Hyen Chung;Park, Chan Won;Sonn, Yeon Kyu;Cho, Hyun Joon;Hyun, Byung Keun;Song, Kwan Cheol;Zhang, Yong Seon
    • 한국토양비료학회지
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    • 제46권6호
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    • pp.549-555
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    • 2013
  • Human influence on soil formation has dramatically increased as the development of human civilization and industry. Increase of anthropogenic soils induced research of those soils; classification, chemical and physical characteristics and plant growth of anthropogenic soils. However there have been no reports on soil pore properties from the anthropogenic soils so far. Therefore the objectives of this study were to test computer tomography (CT) to characterize physical properties of an anthropogenic paddy field soil and to find differences between natural and anthropogenic paddy field soils. Soil samples of a natural paddy field were taken from Ansung, Gyeonggi-do (Ansung site), and samples of an anthropogenic paddy field were from Gumi in Gyeongsangnam-do (Gasan) where paddy fields were remodeled in 2011-2012. Samples were taken at three different depths and analyzed for routine physical properties and CT scans. CT scan provided 3 dimensional images to calculate pore size, length and tortuosity of soil pores. Fractal analysis was applied to quantify pore structure within soil images. The results of measured physical properties (bulk density, porosity) did not show differences across depths and sites, but hardness and water content had differences. These differences repeated within the results of pore morphology. Top soil samples from both sites had greater pore numbers and sizes than others. Fractal analyses showed that top soils had more heterogeneous pore structures than others. The bottom layer of the Gasan site showed more degradation of pore properties than ploughpan and bottom layers from the Ansung site. These results concluded that anthropogenic soils may have more degraded pore properties as depth increases. The remodeled paddy fields may need more fundamental remediation to improve physical conditions. This study suggests that pore analyses using CT can provide important information of physical conditions from anthropogenic soils.

Applying Stochastic Fractal Search Algorithm (SFSA) in Ranking the Determinants of Undergraduates Employability: Evidence from Vietnam

  • DINH, Hien Thi Thu;CHU, Ngoc Nguyen Mong;TRAN, Van Hong;NGUYEN, Du Van;NGUYEN, Quyen Le Hoang Thuy To
    • The Journal of Asian Finance, Economics and Business
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    • 제7권12호
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    • pp.583-591
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    • 2020
  • Employability has recently become the first target of the national higher education. Its model has been updated to catch the new trend of Industry 4.0. This paper aims at analyzing and ranking the determinants of undergraduate employability, focusing on business and economics majors in Ho Chi Minh City, Vietnam. In-depth interviews with content analysis have been primarily conducted to reach an agreement on a key group of factors: human capital, social capital, and identity. The Stochastic Fractal Search Algorithm (SFSA) is then applied to rank the sub-factors. Human capital is composed of three major elements: attitude, skill, and knowledge. Social capital is approached at both structural and cognitive aspects with three typical types: bonding, bridging, and linking. The analysis has confirmed the change of priority in employability determinants. Human capital is still a driver but the priority of attitude has been confirmed in the contemporary context. Then, social capital with the important order of linking, bridging, and bonding is emphasized. Skill, knowledge, and identity share the least weight in the model. It is noted that identity is newly proposed in the model but a certain role has been found. The findings are crucial for education strategies to enhance university graduate employability.

프랙탈 분석을 통한 비용효과적인 기준 자료추출알고리즘에 관한 연구 (A Cost Effective Reference Data Sampling Algorithm Using Fractal Analysis)

  • 김창재
    • Spatial Information Research
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    • 제8권1호
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    • pp.171-182
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    • 2000
  • 분류기법에 의해 원격탐사 영상으로부터 취득된 면속성 수치 지도는 GIS 의사결정자료로 사용되기 이전에 그 정확성에 관한 신뢰도 검증과정을 거쳐야 한다. 분류 정확도를 평가하기 위해서는 오분류행렬(confusion matrix)을 사용하여 전체 정확도, 사용자 정확도, 제작자 정확도 등을 얻게 되는데, 이때 오분류행렬을 구성하기 위해서는 기준자료(reference data)에 대한 표본추출이 이루어져야한다. 기준자료의 표본을 추출하는 기법간의 비교 및 표본 크기를 줄이고자 하는 연구는 많이 이루어져 왔으나, 추출된 표본들간의 거리를 줄임으로서 정확도 평가 비용을 감소시키고자 하는 연구는 미비한 실정이다. 따라서 본 연구에서는 프랙탈 분석을 통하여 기준자료의 표본을 추출하였으며, 이를 바탕으로 기존의 표본추출의 기법과 정확도 차이 및 비용효과 측면을 비교 분석하였다. 연구 결과 , 프랙탈 분석을 통하여 표본을 추출하는 기법은 그 정확도 추정에 있어 기존의 표본추출 기법과 큰 차이를 보이지 않았으며, 추출된 화소들이 가까운 저리에 군집에 있어 비용효과측면에서 유리함을 확인하였다.

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Opportunity Rover's image analysis: Microbialites on Mars?

  • Bianciardi, Giorgio;Rizzo, Vincenzo;Cantasano, Nicola
    • International Journal of Aeronautical and Space Sciences
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    • 제15권4호
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    • pp.419-433
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    • 2014
  • The Mars Exploration Rover Opportunity investigated plains at Meridiani Planum, where laminated sedimentary rocks are present. The Opportunity rover's Athena morphological investigation showed microstructures organized in intertwined filaments of microspherules: a texture we have also found on samples of terrestrial (biogenic) stromatolites and other microbialites. We performed a quantitative image analysis to compare images (n=45) of microbialites with the images (n=30) photographed by the rover (corresponding, approximately, to 25,000/15,000 microstructures). Contours were extracted and morphometric indexes were obtained: geometric and algorithmic complexities, entropy, tortuosity, minimum and maximum diameters. Terrestrial and Martian textures present a multifractal aspect. Mean values and confidence intervals from the Martian images overlapped perfectly with those from the terrestrial samples. The probability of this occurring by chance is $1/2^8$, less than p<0.004. Terrestrial abiogenic pseudostromatolites showed a simple fractal structure and different morphometric values from those of the terrestrial biogenic stromatolite images or Martian images with a less ordered texture (p<0.001). Our work shows the presumptive evidence of microbialites in the Martian outcroppings: i.e., the presence of unicellular life on the ancient Mars.

Bath Fractal 변환에 의한 영상압축 기법의 성능 분석 (Performance Analysis of Bath Fractal Image Compression)

  • 강현철;문영식
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 1996년도 학술대회
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    • pp.187-190
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    • 1996
  • 본 논문은 고속의 프랙탈 영상압축 기법으로 알려져 있는 Bath 프랙탈 영상 압축 기법의 성능을 여러 가지 측면에서 분석한다. Bath 프랙탈 영상 압축 기법은 영상의 빠른 복호화가 가능하므로 미래의 다양한 형태로 요구되는 정보서비스, VOD(Video On Demand), CD-ROM 등과 같이 저장되어 있는 영상 정보의 빠른 복원이 요구되는 곳에 적합한 부호화 기술이므로 그 성능에 대한 분석이 중요하다. 본 논문에서는 Bath 프랙탈 압축 기법의 양자화 방법에 따른 성능 분석, 프랙탈 계수 값의 분포에 따른 성능 평가, 사용된 어핀 맵핑식에 따른 성능 비교, 영상내의 에지 빈도수에 따른 성능 변화, 쿼드트리 구조의 작은 블록들에 대한 BFT의 성능 평가 등을 고찰한다.

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Relationship between morphology and viscosity of the main culture broth of Cephalosporium acremonium M25

  • Kim Jong Chae;Lim Jung Soo;Kim Jung Mo;Kim Chongyoup;Kim Seung Wook
    • Korea-Australia Rheology Journal
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    • 제17권1호
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    • pp.15-20
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    • 2005
  • In this study, the relationship between morphology and viscosity of the main culture broth of Cephalosporium acremonium M25 was investigated in a 2.5 L bioreactor. The differentiation of C. acremonium M25 showed a complex pattern during the main culture. The morphological changes of C. acremonium M25 were related to the rheological properties of the culture broth and it was well agreed with the power law model. As a result of rheology study, it was found that rheological properties of the main culture broths of C. acremonium M25 in bioreactor were closely related to morphological changes. Also, fractal dimension fairly predicted morphological and rheological changes in the main culture broth.

Data Mining for Detection of Diabetic Retinopathy

  • Moskowitz, Samuel E.
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2003년도 ISIS 2003
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    • pp.372-375
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    • 2003
  • The incidence of blindness resulting from diabetic retinopathy has significantly increased despite the intervention of insulin to control diabetes mellitus. Early signs are microaneurysms, exudates, intraretinal hemorrhages, cotton wool patches, microvascular abnormalities, and venous beading. Advanced stages include neovascularization, fibrous formations, preretinal and vitreous microhemorrhages, and retinal detachment. Microaneurysm count is important because it is an indicator of retinopathy progression. The purpose of this paper is to apply data mining to detect diabetic retinopathy patterns in routine fundus fluorescein angiography. Early symptoms are of principal interest and therefore the emphasis is on detecting microaneurysms rather than vessel tortuosity. The analysis does not involve image-recognition algorithms. Instead, mathematical filtering isolates microaneurysms, microhemorrhages, and exudates as objects of disconnected sets. A neural network is trained on their distribution to return fractal dimension. Hausdorff and box counting dimensions grade progression of the disease. The field is acquired on fluorescein angiography with resolution superior to color ophthalmoscopy, or on patterns produced by physical or mathematical simulations that model viscous fingering of water with additives percolated through porous media. A mathematical filter and neural network perform the screening process thereby eliminating the time consuming operation of determining fractal set dimension in every case.

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영상처리에 의한 식물체의 형상분석 (Analysis of Plants Shape by Image Processing)

  • 이종환;노상하;류관희
    • Journal of Biosystems Engineering
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    • 제21권3호
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    • pp.315-324
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    • 1996
  • This study was one of a series of studies on application of machine vision and image processing to extract the geometrical features of plants and to analyze plant growth. Several algorithms were developed to measure morphological properties of plants and describing the growth development of in-situ lettuce(Lactuca sativa L.). Canopy, centroid, leaf density and fractal dimension of plant were measured from a top viewed binary image. It was capable of identifying plants by a thinning top viewed image. Overlapping the thinning side viewed image with a side viewed binary image of plant was very effective to auto-detect meaningful nodes associated with canopy components such as stem, branch, petiole and leaf. And, plant height, stem diameter, number and angle of branches, and internode length and so on were analyzed by using meaningful nodes extracted from overlapped side viewed images. Canopy, leaf density and fractal dimension showed high relation with fresh weight or growth pattern of in-situ lettuces. It was concluded that machine vision system and image processing techniques are very useful in extracting geometrical features and monitoring plant growth, although interactive methods, for some applications, were required.

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입력 영상의 서브블록들 사이의 상관관계에 기반한 고속 프랙탈 부호화 (Fast fractal coding based on correlation coefficients of subblocks in input image)

  • 배수정;임재권
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 1998년도 하계종합학술대회논문집
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    • pp.669-672
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    • 1998
  • In this paper, w epropose a fast fractal coding method based on correlation coefficients of subblocks in input image. In the proposed method, domain pool is selected based on correlation analysis of input image and the isometry transform for each block is chosen based on the IFS method. To investigate the performance of the proposed method, we compared image quality and encoding time with full search PIFS method and jacquin's PIFS method. Experimental results show that proposed method yields nearly the same performance in PSNR, and its encoding time is reduced for images size of 512*512 compared with full search PIFS method and jacquin's PIFS method.

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