• Title/Summary/Keyword: Set value test

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Random Number Statistical Test Using fuzzy Set Operation

  • Sung-joo;Park, Jin-suk
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2002.12a
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    • pp.41-45
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    • 2002
  • From the paper which it sees a strong random number generator it uses a fuzzy set from 16 method of the statistical test which is a cryptograph random number test it verifies. 16 statistical test of NIST extends in crptograph and engineering whole it is a scale which is important distinguishes the distinction incapable characterstic of the random numbers which are used. To try introduce a fuzzy set the possibility of having a more strong randomness in order to be, it strengthens the function of the random number generator.

A Technique Study for Improve the Precise Position Stopping of Automatic Train Operation (ATO) Train Vehicle in Urban Railway (도시철도 자동운전 차량의 정밀정차 향상을 위한 기법 연구)

  • Ma, Sang-Kyeon;Heo, Dae-Jeung;Kim, Myung-Hwan;Song, Jae-Cheong;Park, Jun-Ho
    • Proceedings of the KSR Conference
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    • 2011.10a
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    • pp.1049-1058
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    • 2011
  • This paper suggests blending time adjusting method of braking command characteristics management and Set value test for optimizing of braking deceleration to enhance the precise position stopping. This method minimizes pneumatic-braking degree deviation by characteristics management, and secures braking stability at braking. By Set value test method, braking blending characteristics are analyzed accurately. And by optimal timing tuning at braking blending, It enhanced the precise position stopping with stabilization of deceleration To demonstrate the usefulness of these suggestion, I modeled for Deajeon Line #1. And through comparison with case of related companies, the proposed method which this paper suggested is proved to be superior to others.

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Risk-based Test Case/Test Set Value Estimation Model (리스크 기반 테스트 케이스/테스트 세트 가치 추정 모델)

  • Kwon, Won-Il;Kim, Jong-Ku;Kwon, Ho-Yeol
    • Journal of Industrial Technology
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    • v.32 no.A
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    • pp.125-128
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    • 2012
  • In this paper, we proposed a prioritization method of test cases using a value estimation model of test sets, that are key elements for highly effective software testings as well as involve a large cost factor in software developments and maintenances. Based on previous studies, our idea includes introducing some practical factors of the test case prioritization which critically influence the value of a test case: Relative values of test sets before and after the test running, Average value of these two relative values, Severity of the defect, Risks that are covered, Frequency of use, Change related values, Systematic elicitations, etc. Finally we discussed the usefulness and the expected effects of the proposed scheme.

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퍼지 학습 규칙을 이용한 퍼지 신경회로망

  • 김용수
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1997.11a
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    • pp.180-184
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    • 1997
  • This paper presents the fuzzy neural network which utilizes a fuzzified Kohonen learning uses a fuzzy membership value, a function of the iteration, and a intra-membership value instead of a learning rate. The IRIS data set if used to test the fuzzy neural network. The test result shows the performance of the fuzzy neural network depends on k and the vigilance parameter T.

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Tongue Segmentation Using the Receptive Field Diversification of U-net

  • Li, Yu-Jie;Jung, Sung-Tae
    • Journal of the Korea Society of Computer and Information
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    • v.26 no.9
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    • pp.37-47
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    • 2021
  • In this paper, we propose a new deep learning model for tongue segmentation with improved accuracy compared to the existing model by diversifying the receptive field in the U-net. Methods such as parallel convolution, dilated convolution, and constant channel increase were used to diversify the receptive field. For the proposed deep learning model, a tongue region segmentation experiment was performed on two test datasets. The training image and the test image are similar in TestSet1 and they are not in TestSet2. Experimental results show that segmentation performance improved as the receptive field was diversified. The mIoU value of the proposed method was 98.14% for TestSet1 and 91.90% for TestSet2 which was higher than the result of existing models such as U-net, DeepTongue, and TongueNet.

Experimental Verification of Set-Up Reference Values for the Determination of Downcoiling Tension in Hot Strip Mill (열간압연시 권취장력 설정기준치의 실험적 검증)

  • 공성락;강용기;김영환;문영훈
    • Transactions of Materials Processing
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    • v.10 no.1
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    • pp.53-58
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    • 2001
  • Set-up reference values, used in determining the optimum downcoiling tension, we experimentally verified in this study. During the actual downcoiling, the strip suffers both tension and bending force through the rotation of mandrel. Therefore, simulative test which can measure both tension and bending resistance of strip was performed to estimate set-up reference value for strip tension during downcoiling operations. The values obtained from the simulative test were correlated with the yield stress which has conventionally been used as reference values for downcoiling tension. The correlative analysis showed that the yield stress of strip can be a good reference value for downcoiling tension. Furthermore, the bending load also shows strong correlation with simulated values due to the close relationship between yield stress and bending load.

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Analysis of the Possibility of Using the Durometer A Type when Estimating the Specific Setting Time Using CGS for Fine Aggregate (CGS를 잔골재로 활용하는 콘크리트의 응결시간 추정시 고무경도계 A타입 사용 가능성 분석)

  • Lee, Hyuk-Ju;Han, Jun-Hui;Baek, Seung-Bok;Shin, Yong-Sub;Han, Min-Choel;Han, Cheon-Goo
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2019.11a
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    • pp.116-117
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    • 2019
  • In this research, Proctor insertion resistance test values and Durometer A type hardness values were compared and analyzed between the setting times of the concrete using CGS for Fine Aggregate, and the results are summarized as follows. 1) The Proctor penetration resistance test value and the hardness value of Durometer A type showed a high correlation in the form of a curve. 2) About surface finish The resolution exceeding the hardness value of the Durometer A type uses about 25 HD, and in the case of termination, about 35 HD, and is considered to be effective for determining the surface finishing work time. The possibility to do is expected.

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Automation of Skin Allergy Test using Fuzzy Set (Fuzzy Set을 이용한 피부반응 검사의 자동화 연구)

  • Shim, Chul;Jeong, Byeong-Sun;Lee, Myeong-Ku;Park, Mi-Gnon
    • Proceedings of the KOSOMBE Conference
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    • v.1990 no.05
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    • pp.43-46
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    • 1990
  • Modern society is prevailed a lot of allergies. So, the allergy test is very important. There are many kinds of allergy test. A doctor usually uses skin allergy test among many allergy tests. However, little standadization and objectivity of grading-standard has been established in the skin allergy test. A measurement of the reaction area has been a major objective to perform skin allergy test. Recently, a doctor's method is to measure the reaction area after drawing a line that represents the reaction area on the skin. But this method differs slightly from the real reaction area and individual doctor's measurement is different, because the edge of the reaction area is obscure. In this paper, we propose a algorithm which is able to detect vague edges using the fuzzy set. The algorithm that detects the line and curve is proposed first. Here, the maximum value is calculated by comparing the membership function of the line and curve seperately. We also encode the direction of the line and curve by using 8-direction code. Then, we calculate the reaction area by measuring the pixels which are inside the reaction area. And finally the Allergy grade is decided by grading-standard, and we accomplish faster, the 80re accurate and objective allergy grade decision.

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A Study on Cognition of Credit Card and Shopping Value Based on the Consumption Orientation (소비성향에 따른 신용카드인식 및 쇼핑 가치에 관한 연구)

  • Seo, In-Joo
    • Journal of Families and Better Life
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    • v.30 no.3
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    • pp.105-118
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    • 2012
  • This study aims to recognize cognition of credit card and shopping value in contemporary society, cognition of credit card and shopping value according to types of consumption orientation, and factors that influence cognition of credit card and shopping value, and ultimately provide a foundation for establishing proper shopping value. A total of 453 women and men residing in Seoul have been set as research object in order to achieve the purpose of the study. The data was analyzed by Cronbach' alpha, frequencies, percentile, mean, factor analysis, K-mean cluster analysis, t-test, ANOVA and Duncan's multiple range test, multiple linear regression. All analysis progress was done by spsswin12.0 statistics program. A summary of this research goes as follows: First, categorization of consumption orientation lead to two clusters of rational and symbolic & conspicuity consumption patterns and cognition of credit card was categorized into positive and negative cognition and shopping value was categorized into hedonic shopping value, utilitarian shopping value and time-save shopping value. Second, rational shoppers had high utilitarian shopping values and symbolic & conspicuity shoppers had high both hedonic shopping values and utilitarian shopping values. Third, the most influential factor in hedonic shopping value and utilitarian was consumption orientation. In conclusion, this research has showed that cognition of credit card and shopping value according to types of consumption orientation patterns varied, and that consumption orientation was an influential factor on cognition of credit card and shopping value.

Comparative Molecular Field Analysis of Dioxins and Dioxin-like Compounds

  • Ashek, Ali;Cho, Seung-Joo
    • Molecular & Cellular Toxicology
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    • v.1 no.3
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    • pp.157-163
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    • 2005
  • Because of their widespread occurrence and substantial biological activity, halogenated aromatic hydrocarbons are one of the important classes of contaminants in the environment. We have performed comparative molecular field analysis (CoMFA) on structurally diverse ligands of Ah (dioxin) receptor to explore the physico-chemical requirements for binding. All CoMFA models have given $q^{2}$ value of more than 0.5 and $r^{2}$ value of more than 0.83. The predictive ability of the models was validated by an external test set, which gave satisfactory predictive $r^{2}$ values. Best predictions were obtained with CoMFA model of combined modified training set ($q^{2}=0.631,\;r^{2}=0.900$), giving predictive residual value = 0.002 log unit for the test compound. We have suggested a model comprises of four structurally different compounds, which offers a good predictability for various ligands. Our QSAR model is consistent with all previously established QSAR models with less structurally diverse ligands. The implications of the CoMFA/QSAR model presented herein are explored with respect to quantitative hazard identification of potential toxicants.