• 제목/요약/키워드: Rating classification

검색결과 253건 처리시간 0.025초

기존의 암반분류법의 조합에 의한 새로운 암반평가법의 제안 (Suggestion of New Rock Classification Method Using the Existing Classification Method)

  • 선우춘;정용복
    • 화약ㆍ발파
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    • 제24권1호
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    • pp.21-28
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    • 2006
  • 현재 가장 많이 사용되고 있는 암반분류법인 RMR 이나 Q 분류법을 이용하여 조사단계에서 암반평가를 할 때, 평가요소의 하나인 RQD 값을 구하기 위한 시추작업이 제한적으로 이루어지고 있고, 또한 시공단계에서도 시추작업은 거의 이루어지지 않고 있는 실정이다. 실제 현장조사에서는 RQD값은 일반적으로 유추되거나 간접적인 방법을 통해서 이루어지고 있는 실정이다. 또한 암반내의 절리간격조사도 여러 군의 절리가 존재할 경우 그룹별 간격의 측정이 용이하지 않으며 불연속면의 연속성 등 불연속면의 특성에 관한 측정이 쉽지 않다는 것이다. 절리간격 요소도 설제로는 RQD와 중복되는 요소로서 시추 코아에 의존하지 않고 보다 쉽게 암반평가를 실시할 수 있는 새로운 암반분류법의 개발이 필요하다. 이를 위해서 요구되는 요소들을 측정하지 않고도 암반의 구조적인 형태와 절리의 거칠기와 변형정도로 표시되는 불연속면의 표면적인 조건만을 관찰함으로써 암반평가를 실시할 수 있는 방법인 GSI 의 요소들을 RMR 방법과 결합하여 새로운 암반분류법을 제시하고자 하는 것이다.

암반사면의 안정성 평가 및 적용에 관한 연구 (A Study on the Stability Assessment and Application of Rock Slope)

  • 안종필;박주원;오수동
    • 한국지반공학회:학술대회논문집
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    • 한국지반공학회 1999년도 가을 학술발표회 논문집
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    • pp.177-184
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    • 1999
  • In general tile evaluation process of rock slope stability is an ambiguous system which is made up of ideas subjected to practical experience of an expert. This paper aims to propose more effective methods that helps engineers to evaluate the stability of rock slope by using RMR(Rock Mass Rating for the Geomechanics Classification) and Stereo-graphic Projection and Fuzzy Approximate Reasoning Concept. the result of this paper is that a rational evaluation of rock slope stability and countermeasures can be achieved thorough RMR. and Stereo-graphic Projection and Fuzzy Approximate Reasoning Concept.

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The Application and Use of Land Quality Ratings In the Valuation of Agricultural Land: An Evaluation of the South Dakota Experience

  • Larry Jassen;Douglas Malo;Chung, Doug-Young
    • 한국지하수토양환경학회:학술대회논문집
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    • 한국지하수토양환경학회 2000년도 창립총회 및 춘계학술발표회
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    • pp.24-27
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    • 2000
  • The development of land classification and soil productivity rating systems (SPR) are examined for their application to valuation of agricultural land in South Dakota, USA. The application of SPR data to land valuation work conducted by real estate appraisers, tax assessors, and economists are discussed along with an assessment of its benefits and limitations.

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암반분류에서 RMR과 Q System의 상관성 분석 (A Study on Relationship Between RMR and Q System in Rock Mass Classification)

  • 안종필;박주원;박상도
    • 한국지반공학회:학술대회논문집
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    • 한국지반공학회 2000년도 가을 학술발표회 논문집
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    • pp.737-744
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    • 2000
  • This paper resorts to rock mass rating and rock mass quality to draw value based on the evaluation of rock and to draw interrelation formula in relation to rock mass quality, A comparative analysis was given of survey values reported in the existing documents. This paper has tried to find out the relationship between RMR and Q System for the sake of choosing rational reinforcing patterns and of the safety of tunnels. The results run as follow: RMR=8.251n(Q)+43.83. This paper has also tried to find out the relationship between RMR and Q System by using Fuzzy Approximate Reasoning Concept. We suggest that those in charge should not depend on a single system only after evaluating the classification of rocks, and compare one result with another for the good of keeping track of the condition of base rocks in a better way.

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A Model-based Collaborative Filtering Through Regularized Discriminant Analysis Using Market Basket Data

  • Lee, Jong-Seok;Jun, Chi-Hyuck;Lee, Jae-Wook;Kim, Soo-Young
    • Management Science and Financial Engineering
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    • 제12권2호
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    • pp.71-85
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    • 2006
  • Collaborative filtering, among other recommender systems, has been known as the most successful recommendation technique. However, it requires the user-item rating data, which may not be easily available. As an alternative, some collaborative filtering algorithms have been developed recently by utilizing the market basket data in the form of the binary user-item matrix. Viewing the recommendation scheme as a two-class classification problem, we proposed a new collaborative filtering scheme using a regularized discriminant analysis applied to the binary user-item data. The proposed discriminant model was built in terms of the major principal components and was used for predicting the probability of purchasing a particular item by an active user. The proposed scheme was illustrated with two modified real data sets and its performance was compared with the existing user-based approach in terms of the recommendation precision.

Study of Characteristics of Patients with Hyperhidrosis

  • Son, Chang-Gue
    • 대한한의학회지
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    • 제33권4호
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    • pp.37-41
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    • 2012
  • Objectives: This study was aimed to establish the clinical features of the patients suffering from hyperhidrosis, who are willing to visit Oriental clinics. Methods: Forty-six patients with primary hyperhidrosis were enrolled in this study classification, body part of perspiration and its severity, and constitutional differentiation were analyzed. Results: 85.1% of patients were 10 to 39 years old. The body part most complained of hyperhidrosis was the hands and feet at 50%. The portion of Teaeumin, Soumin, and Soyangin was 56.6% 21.1%, and 21.7% respectively. Soumin specifically showed a higher frequency of palmar and plantar hyperhidrosis as 90%. The average score of symptoms was $5.1{\pm}1.7$ by a 10-point self- reporting numeric rating scale (NRS). No statistical difference of NRS score was observed regarding gender, Sasang classification, or hyperhidrosis region. Conclusions: This study provides an overview of hyperhidrosis patients visiting an Oriental clinic, and will be helpful in establishing a strategy for the Korean medicine (KM)-based therapeutic development.

Tensorflow.js를 활용한 상점 추천 학습 (A shop recommendation learning with Tensorflow.js)

  • 조재영;이상원
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2019년도 제60차 하계학술대회논문집 27권2호
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    • pp.267-270
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    • 2019
  • Through this research, the rating data of shops were analyzed. The model was designed for discrete multiple classification as to the corresponding data, and the following experiments were initiated to observe the learned machine. By comparing each benchmarks in the experiments, which contains different setting variables for the machine model, the hit ratio was measured which indicates how much it is matched with the expected label. By analyzing those results from each benchmarks, the model was redesigned one time during the research and the effects of each setting variables on this machine were clarified. Furthermore, the research result left the future works, which are related with how the learning could be improved and what should be designed in the further research.

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Effects of Ultrasound-Guided Acupotomy Therapy on a Trigger Finger: A Case Report

  • Ho Seok Jung;Tae Seong Jeong;Sung Chul Kim;Yeong Jin Jeong;Su Hak Kim;Jinwoong Lim
    • Journal of Acupuncture Research
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    • 제40권2호
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    • pp.162-166
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    • 2023
  • This study aimed to demonstrate a safe and effective procedure targeting the A1 pulley with ultrasound-guided acupotomy in patients with a trigger finger. Six ultrasound-guided acupotomy procedures were performed on 1 patient. The Numerical Rating Scale (NRS) score, Quinnell's classification of triggering, Tanaka score, and A1 pulley thickness were measured using ultrasonography before and after treatment. This study revealed reduced NRS score, Quinnell's classification of triggering, Tanaka score, and thickness of the A1 pulley, with no side effects during the procedure. This indicates ultrasound-guided acupotomy as an effective and safe treatment method for patients with a trigger finger. Further studies are required to evaluate the beneficial effects of this treatment.

다양한 이미지 향상 기법을 사용한 전립선 병리영상 딥러닝 이진 분류 연구 (A Study on Deep Learning Binary Classification of Prostate Pathological Images Using Multiple Image Enhancement Techniques)

  • 박현균;;;김초희;최흥국
    • 한국멀티미디어학회논문지
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    • 제23권4호
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    • pp.539-548
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    • 2020
  • Deep learning technology is currently being used and applied in many different fields. Convolution neural network (CNN) is a method of artificial neural networks in deep learning, which is commonly used for analyzing different types of images through classification. In the conventional classification of histopathology images of prostate carcinomas, the rating of cancer is classified by human subjective observation. However, this approach has produced to some misdiagnosing of cancer grading. To solve this problem, CNN based classification method is proposed in this paper, to train the histological images and classify the prostate cancer grading into two classes of the benign and malignant. The CNN architecture used in this paper is based on the VGG models, which is specialized for image classification. However, color normalization was performed based on the contrast enhancement technique, and the normalized images were used for CNN training, to compare the classification results of both original and normalized images. In all cases, accuracy was over 90%, accuracy of the original was 96%, accuracy of other cases was higher, and loss was the lowest with 9%.

서울 지하철(地下鐵) 부지일대(敷地一帶) 암석(岩石)의 암석학적(岩石學的) 및 암석역학적(岩石力學的) 기준설정(基準設定)을 위(爲)한 연구(硏究) (The Petrological and Geomechanical Studies of Rock Masses in the Site Area of the 3rd and 4th Seoul Subway Lines for an Engineering Classification of Rock Masses)

  • 김옥준;이대성;정봉일
    • 자원환경지질
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    • 제17권1호
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    • pp.57-78
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    • 1984
  • The object of this study is to offer the standarized data for the design and calculating engineering cost of the rock excavation an the construction of the 3rd and 4th Seoul Subway lines From Jnauary to March in 1983, this study was carried out by the both methods of the field and laboratary studies. In the field, the geological survey in the entire area of Seoul City and sites on the subway lines were carried out and also a site measure of uniaxial compressional strength of rock masses by using Schmidt hammer was done. The labartory studies were carsied out by a study of preuions surveyes, microscopic studies of the mineral composition and degree of weathering of rocks, and measure of uniaxial compressional strengths Finally an engineering classification of each rock masses of South Africa council for Scientific and Industrial Research, CSIR, after Bieniawski, 1974. was done. In this method of classification 6 parameters such as strength of intact rock material, rock quality designation, spacing of fractures, condition of fractures, groundwater conditions, and the effect of fracture strike and dip orientation in tunnelling were used to evaluate rating of each rock mass.

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