• Title/Summary/Keyword: classification boundaries

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Classification of Rock Mass on Cutting Slopes in Muakjae, Seoul (서울 무악재 절취사면에서의 암판정 연구)

    • Tunnel and Underground Space
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    • v.9 no.2
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    • pp.158-167
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    • 1999
  • There are substantial difficulties in assessing the volume of soill/rock to be excavated and the cost thereof, which is attributable to the subjective and qualitative methods of rock mass classification prevailing at the moment. This paper intends to introduce more objective and quantitative rock mass classification method easily applicable to the excavation of granites in Muakjae, Seoul. As a result of such study it is proven that Schmidt hammer and point load strength tests are fairly reliable and easily applicable to estimate and quantify uniaxial compressive strength of granitic material in Seoul. In an efforts to confirm the granitic rock mass conditions in 12 meters underground, seismic refraction surveys were made on the top of vertical exposures from where underlying rock mass conditions could be directly inspected. Rock mass boundaries determined by seismic refraction methods were found to agree within a 1m variance with visible differences in rock mass conditions in the vertical exposure beneath the test site. Thus it can be concluded that detailed geotechnical mapping on cutting slopes is a most efficient, dependable and cost-effective technique in assessing likely excavation conditions of shallow granitic mass in Seoul.

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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.

Fast RSST Algorithm Using Link Classification and Elimination Technique (가지 분류 및 제거기법을 이용한 고속 RSST 알고리듬)

  • Hong, Won-Hak
    • 전자공학회논문지 IE
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    • v.43 no.4
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    • pp.43-51
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    • 2006
  • Segmentation method using RSST has many advantages in extracting of accurate region boundaries and controlling the resolution of segmented result and so on. In this paper, we propose three fast RSST algorithms for image segmentation. In first method, we classify links according to weight size for fast link search. In the second method, very similar links before RSST construction are eliminated. In third method, the links of very small regions which are not important for human eye are eliminated. As a result, the total times elapsed for segmentation are reduced by about 10 $\sim$ 40 times, and reconstructed images based on the segmentation results show little degradation of PSNR and visual quality.

A Study on Classification of Interdisciplinary Subjects in DDC (DDC의 학제적 주제 분류에 관한 연구)

  • Kim, Bee-Yeon
    • Journal of the Korean Society for Library and Information Science
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    • v.45 no.1
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    • pp.333-351
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    • 2011
  • As the boundaries between disciplines have been weakened and interdisciplinary or multidisciplinary subjects have increased, there is a limitation to express subjects with DDC. This study evaluates DDC instructions using interdisciplinary numbers and classifying more than one discipline through Delphi research. As a result, it is found that there is a need for defining separately 'interdisciplinary subjects' and 'multidisciplinary subjects', based on the level of integration among disciplines, and improving the instruction to maintain the consistency in assigning and filing classification numbers. It is also discussed that to enhance the symbols' power of expression, an analytic/synthetic method could be adopted.

Application of geophysical well logging to fracture identification and determination of in-situ dynamic elastic constants. (물리검층에 의한 파쇄대 인식과 동적 지반정수의 산출)

  • Hwang, Se-Ho;Lee, Sang-Kyu
    • 한국지구물리탐사학회:학술대회논문집
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    • 1999.08a
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    • pp.156-175
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    • 1999
  • Recently the application of geophysical well logging to geotechnical site investigation is increasing, because the merit that geophysical logs provide the high resolution and in-situ physical properties in volumes of rock surrounding the borehole. Geophysical well logs are used to identify lithologic boundaries and fracture, to determine the physical properties of rock(i.e., density, velocity etc.), and to detect permeable fracture zones that could be conduits for ground water movement through the rocks. The principle of heat-pulse meter, the calibration of gamma-gamma logging, and principles and data processing of full waveform sonic logging are briefly reviewed, and the case studies of geophysical logs are discussed. Correlation between velocity by sonic logging and rock mass classification such as RMR(Rock Mass Rating) value is considered.

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Consideration for Classification of Pathogens in Aquatic Animals (수산생물병원체의 등급 마련에 관한 고찰)

  • Cho, Miyoung;Min, Eun Young;Choi, Hye Sung;Jung, Sung Hee
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.54 no.5
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    • pp.585-595
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    • 2021
  • Even though most of aquatic animal pathogens are considered opportunistic and many pose a low direct risk to personnel, all personnel working with aquatic pathogens and facilities using these organisms must comply with the regulation to prevent the release of the pathogen into the environment and causing disease in aquatic animals. First of all, in order to establish a biosafety system for aquatic pathogen, the list of microorganisms that can infect aquatic animals and humans should be drawn up according to the microorganisms encountered within national boundaries. Second, risk assessment guideline for diseases of livestock and aquatic environment is desperately needed. Third, microorganisms should be classified into risk group based on their potential impact on human and aquatic environment. Fourth, facilities handling aquatic pathogens should ensure that these pathogens are securely contained and safely handled for experimental or commercial development purposes. In conclusion, classification is based on the pathogenicity, mode of transmission and host range of the aquatic microorganisms, availability of effective preventative measures and treatments. Furthermore, risk group of aquatic pathogens should be correlated with physical containment facility requirements according to domestic characteristics.

A Study on Game Structure by User-Centered Narrative and Play (유저 중심의 서사와 놀이에 의한 게임 구조에 대한 고찰)

  • CHO, Il-hyun
    • Journal of Digital Convergence
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    • v.17 no.8
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    • pp.401-406
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    • 2019
  • Recently, as multi-platform game environments become common, many games of convergence genre have been produced, and the boundaries of genre division by existing platforms have become blurred. The game genre is convergence content consisting of user-centered 'narrative and play'. In this paper, we propose a game genre classification according to the user 's behavior type based on the essential recognition that the subject of the game is the user. The user's actions are done in different genres and goals and rules, and the interaction is an important act for immersion. Therefore, the user's behavioral classification and perception by the game genre are important and expected to help redefine the game structure.

A Case Study on the Seismic Hazard Classification of Domestic Drinking Water Earthfill Dams Using Zero Seismic Failure Probability Curve (지진파괴확률 영곡선 활용 국내 식수전용 흙댐의 지진 위험도 분류 사례 연구)

  • Ha, Ik-soo
    • Journal of the Earthquake Engineering Society of Korea
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    • v.26 no.4
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    • pp.173-180
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    • 2022
  • Most of the drinking water dams managed by the local governments in Korea are earthfill dams, and these dams have almost no geotechnical property information necessary for seismic performance evaluation. Nevertheless, in the rough planning stage for improving seismic safety for these dams, it is necessary to classify their relative seismic hazard against earthquakes and conduct an additional ground investigation. The zero seismic failure probability curve is a curve suggested in this study in which the probability of failure due to an earthquake becomes '0' regardless of the geotechnical properties of the earthfill dam. By examining the method and procedure for calculating failure probability due to an earthquake suggested in previous researches, the zero seismic failure probability curves for an earthquake in 1,000-year and 2,400-year return periods in Korea were presented in the form of a hyperbola on the plane of the dam height versus freeboard ratio (ratio of freeboard to dam height), respectively. The distribution characteristics of the dam height and the freeboard ratio of 81 Korean earthfill dams were presented. The two proposed zero seismic failure probability curves are shown on the plane of the dam height versus freeboard ratio, and the relative seismic hazard of 81 dams can be classified into three groups using these curves as boundaries. This study presented the method of classifying the relative seismic hazard and the classification result.

A Prostate Segmentation of TRUS Image using Average Shape Model and SIFT Features (평균 형상 모델과 SIFT 특징을 이용한 TRUS 영상의 전립선 분할)

  • Kim, Sang Bok;Seo, Yeong Geon
    • KIPS Transactions on Software and Data Engineering
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    • v.1 no.3
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    • pp.187-194
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    • 2012
  • Prostate cancer is one of the most frequent cancers in men and is a major cause of mortality in the most of countries. In many diagnostic and treatment procedures for prostate disease, transrectal ultrasound(TRUS) images are being used because the cost is low. But, accurate detection of prostate boundaries is a challenging and difficult task due to weak prostate boundaries, speckle noises and the short range of gray levels. This paper proposes a method for automatic prostate segmentation in TRUS images using its average shape model and invariant features. This approach consists of 4 steps. First, it detects the probe position and the two straight lines connected to the probe using edge distribution. Next, it acquires 3 prostate patches which are in the middle of average model. The patches will be used to compare the features of prostate and nonprostate. Next, it compares and classifies which blocks are similar to 3 representative patches. Last, the boundaries from prior classification and the rough boundaries from first step are used to determine the segmentation. A number of experiments are conducted to validate this method and results showed that this new approach extracted the prostate boundary with less than 7.78% relative to boundary provided manually by experts.

Classification of Terrestrial LiDAR Data through a Technique of Combining Heterogeneous Data (이기종 측량자료의 융합기법을 통한 지상 라이다 자료의 분류)

  • Kim, Dong-Moon;Kim, Seong-Hoon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.9
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    • pp.4192-4198
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    • 2011
  • Terrestrial LiDAR is a high precision positioning technique to monitor the behavior and change of structures and natural slopes, but it has depended on subjective hand intensive tasks for the classification(surface and vegetation or structure and vegetation) of positioning data. Thus it has a couple of problems including lower reliability of data classification and longer operation hours due to the surface characteristics of various geographical and natural features. In order to solve those problems, the investigator developed a technique of using the NDVI, which is a major index to monitor the changes on the surface(including vegetation), to categorize land covers, combining the results with the terrestrial LiDAR data, and classifying the results according to items. The application results of the developed technique show that the accuracy of convergence was 94% even though there was a problem with partial misclassification of 0.003% along the boundaries between items. The technique took less time for data processing than the old hand intensive task and improved in accuracy, thus increasing its utilization across a range of fields.