• Title/Summary/Keyword: Prediction Ratio

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Prediction of Growth Behavior of Initially Semicircular Surface Cracks under Axial Loading (축하중을 받는 초기 반원 표면피로균열의 진전거동 예측)

  • 김종한;송지호
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.16 no.8
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    • pp.1536-1544
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    • 1992
  • A relatively simple prediction method is proposed for initially semicircular surface crack growth under axial loading. The method takes into account the difference in surface crack closure behavior at the depth point and at the surface intersection point, and also the relationship of crack closure for surface crack and through-thickness crack. The prediction method provides conservative estimation for fatigue life within factor of two, and the predicted crack geometry variations agree well with the observed results. As a result, the prediction method proposed here is considered to be useful for engineering application.

Defect Severity-based Defect Prediction Model using CL

  • Lee, Na-Young;Kwon, Ki-Tae
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.9
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    • pp.81-86
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    • 2018
  • Software defect severity is very important in projects with limited historical data or new projects. But general software defect prediction is very difficult to collect the label information of the training set and cross-project defect prediction must have a lot of data. In this paper, an unclassified data set with defect severity is clustered according to the distribution ratio. And defect severity-based prediction model is proposed by way of labeling. Proposed model is applied CLAMI in JM1, PC4 with the least ambiguity of defect severity-based NASA dataset. And it is evaluated the value of ACC compared to original data. In this study experiment result, proposed model is improved JM1 0.15 (15%), PC4 0.12(12%) than existing defect severity-based prediction models.

Prediction model of resistivity and compressive strength of waste LCD glass concrete

  • Wang, Chien-Chih
    • Computers and Concrete
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    • v.19 no.5
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    • pp.467-475
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    • 2017
  • The purpose of this study is to establish a prediction model for the electrical resistivity ($E_r$) of self-consolidating concrete by using waste LCD (liquid crystal display) glass as part of the fine aggregate and then, to analyze the results obtained from a series of laboratory tests. A hyperbolic function is used to perform nonlinear multivariate regression analysis of the electrical resistivity prediction model, with parameters such as water-binder ratio (w/b), curing age (t) and waste glass content (G). Furthermore, the relationship of compressive strength and electrical resistivity of waste LCD glass concrete is also found by a logarithm function, while compressive strength is evaluated by the electrical resistivity of non-destructive testing (NDT). According to relative regression analysis, the electrical resistivity and compressive strength prediction models are developed, and the results show that a good agreement is obtained using the proposed prediction models. From the comparison between the predicted analysis values and test results, the MAPE value of electrical resistivity is 17.0-18.2% and less than 20%, the MAPE value of compressive strength evaluated by $E_r$ is 5.9-10.6% and nearly less than 10%. Therefore, the prediction models established in this study have good predictive ability for electrical resistivity and compressive strength of waste LCD glass concrete. However, further study is needed in regard to applying the proposed prediction models to other ranges of mixture parameters.

Performance Prediction of Interleave-Division Multiple Access Scheme based on Log-likelihood Ratio (LLR) for An Efficient 4G Mobile Radio System (효율적4세대 이동무선시스템을 위한 대수가능성비 기반의 인터리버 분할 다중접속기술의 성능 예측)

  • Chung, Yeon-Ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.13 no.7
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    • pp.1328-1334
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    • 2009
  • This paper presents a prediction mechanism of performance for an efficient interleave-division multiple access (IDMA) scheme that is being considered as 4th generation mobile radio system. The scheme is based upon log-likelihood ratio (LLR) to predict the performance of the IDMA. The conventional IDMA system simply passes the LLR values to a coarse estimation process in the receiver over a pre-defined number of iterations for an acceptable performance. The proposed IDMA system uses the LLRs to predict its BER performance and thus the iterative operation at the receiver can significantly be reduced when the performance attains an acceptable level. Performance evaluation shows that the proposed scheme of the IDMA with the LLRs used for the prediction provides a comparable BER performance. The use of the LLRs can facilitate an efficient design of the IDMA system that is a strong candidate system for 4G mobile radio systems.

Prediction of fracture in hub-hole expansion process using new ductile fracture criterion (새로운 연성파괴기준을 이용한 허브홀 확장과정에서의 파단 예측)

  • Ko Y. K.;Lee J. S.;Kim H. K.;Park S. H.;Huh H.
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 2005.05a
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    • pp.163-166
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    • 2005
  • A hole expansion process is an important process in producing a hub-hole in a wheel disc of a vehicle. In this process, the main parameter is the formability of a material that is expressed as the hole expansion ratio. The hub-hole expansion process is different from conventional forming processes or hole flanging processes from the view-point of its deformation mode and forming of a thick plate. In the process, a crack is occurred in the upper edge of a hole as the hole is expanded. Since prediction of the forming limit by hole expansion experiment needs tremendous time and effort, an appropriate fracture criterion has to be developed fur finite element analysis to define forming limit of the material. In this paper, the hole expansion process of a hub-hole is studied by finite element analysis with ABAQUS/standard considering several ductile fracture criteria. The fracture mode and hole expansion ratio is compared with respect to the various fracture criteria. These criteria do not predict its fracture mode or hole expansion ratio adequately and show deviation from experimental results of hole expansion. A modified ductile fracture criterion is newly proposed to consider the deformation characteristics of a material accurately in a hole expansion process. A fracture propagation analysis at the hub-hole edge is also performed for high accuracy of prediction using the new fracture criterion proposed.

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Three-dimensional numerical simulation for the prediction of product shape in sheet casting process

  • Chae, Kyung-Sun;Lee, Mi-Hye;Lee, Seong-Jae;Lee, Seung-Jong
    • Korea-Australia Rheology Journal
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    • v.12 no.2
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    • pp.107-117
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    • 2000
  • Prediction of the product shape in sheet casting process is performed from the numerical simulation. A three-dimensional finite element method is used to investigate the flow behavior and to examine the effects of processing conditions on the sheet produced. Effects of inertia, gravity, surface tension and non-Newtonian viscosity on the thickness profile of the sheet are considered since the edge bead and the flow patterns in the chill roll region have great influence on the quality of the products. In the numerical simulation with free surface flows, the spine method is adopted to update the free surface, and the force-free boundary condition is imposed along the take-up plane to avoid severe singularity problems existing at the take-up plane. From the numerical results of steady isothermal flows of a generalized Newtonian fluid, it is shown that the draw ratio plays a major role in predicting the shape of the final sheet produced and the surface tension has considerable effect on the bead thickness ratio and the bead width fraction, while shear-thinning and/or tension-thickening viscosity affect the degree of neck-in.

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A Study on the Forecasting of Import Demands for Textile, Textile Products & Clothing Products (섬유류, 섬유제품 및 의류제품 수입수요의 예측에 관한 연구)

  • 양리나
    • Journal of the Korean Society of Costume
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    • v.50 no.2
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    • pp.29-45
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    • 2000
  • The object of this study is to predict the import demands for korean textile, textile products and clothing products. The analyzing method performs through demand prediction method is by using Exponential Smoothing Model and STATGRAPHICS. The result from the practice of study is as follows ; Textile import ratio is expected to be increased constantly and the portion of textile import in our national total import is precited to reach to 3.92% in 2003. The import of the textile product to textile will be increased to 33.12% in 2003. The import ratio of clothing product ratio is also estimated to increase annually, Import ratio of clothing-product in textile-product import reaching to total 6.42% (83.89% in 2000, 90.31% in 2003), the growth rate of clothing import will be much higher than that of clothing export. From 2000 to 2003 , textile import is precited to be 5.23%. The import of the textile product will be increased by 8.04%. The import of clothing product will reaches 11.21%, which would be the highest rate among the products under review. Also , it predicts the constant increase as a result of prediction in the nation's total amount of import including the import amount of textile, textile-product, and clothing product.

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