• Title/Summary/Keyword: a model mismatch

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Dilatometry Analysis of Low Carbon Steel considering Transformation Mismatch Plasticity (변태소성을 고려한 저탄소강 상변태의 Dilatometry 해석)

  • Suh D. W.;Oh C. S.;Kim S. J.
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 2005.10a
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    • pp.332-335
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    • 2005
  • A model is developed to quantitatively analyze the dilatometry curve of carbon steel for the evaluation of phase fraction during transformation. The effect of anisotropic volume change due to transformation mismatch plasticity as well as carbon enrichment in austenite during the transformation is considered in the developed model. The developed model is applied for the analysis of dilatometry curves of carbon steels. The result shows that considering the anisotropic dilatation is very essential to quantitatively evaluate the phase fraction from the dilatation curve.

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Prediction of fully plastic J-integral for weld centerline surface crack considering strength mismatch based on 3D finite element analyses and artificial neural network

  • Duan, Chuanjie;Zhang, Shuhua
    • International Journal of Naval Architecture and Ocean Engineering
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    • v.12 no.1
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    • pp.354-366
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    • 2020
  • This work mainly focuses on determination of the fully plastic J-integral solutions for welded center cracked plates subjected to remote tension loading. Detailed three-dimensional elasticeplastic Finite Element Analyses (FEA) were implemented to compute the fully plastic J-integral along the crack front for a wide range of crack geometries, material properties and weld strength mismatch ratios for 900 cases. According to the database generated from FEA, Back-propagation Neural Network (BPNN) model was proposed to predict the values and distributions of fully plastic J-integral along crack front based on the variables used in FEA. The determination coefficient R2 is greater than 0.99, indicating the robustness and goodness of fit of the developed BPNN model. The network model can accurately and efficiently predict the elastic-plastic J-integral for weld centerline crack, which can be used to perform fracture analyses and safety assessment for welded center cracked plates with varying strength mismatch conditions under uniaxial loading.

Model-based Inter-view Mismatch Compensation Algorithm for Multi-view Video Coding (다시점 영상 부호화를 위한 모형 기반 시점간 비정합 보상 알고리즘)

  • Jeon, Yeong-Il;Lee, Si-Woong
    • The Journal of the Korea Contents Association
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    • v.8 no.7
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    • pp.1-8
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    • 2008
  • In this paper, an algorithm to compensate the inter-view mismatch in the multi-view video according to the different characteristics of cameras is presented. Interview mismatches make it difficult to merge the multi-view images and decrease the coding performance. So, a preprocessing operation to compensate the mismatches is requisite in the multi-view video coding. It is shown that the mismatch in the outputs of multi-view cameras with different electro-optical transfer functions can be approximated with a linear model of a gain and an offset. In addition, a new algorithm for estimating and compensating the inter-view mismatch based on the detection of the overlapped region is presented. Experimental results using various rectified stereo images show that the proposed method compensates inter-view mismatches more accurately compared to the conventional approach.

Effect of Spool-Sleeve Geometry on Static Pressure Characteristics of Servo Valves (서보밸브 스풀-슬리브 형상공차가 압력 정특성에 미치는 영향 연구)

  • Kim, Sung Dong;Son, Sung Hoe;Ham, Young Bog
    • Journal of Drive and Control
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    • v.13 no.1
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    • pp.34-42
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    • 2016
  • This study studied how the clearance, overlap and mismatch errors of spool-sleeve affect the static pressure characteristics of a servo valve. A computer simulation model was established as a direct acting servo valve and a series of simulations was conducted for various values of clearance, overlap and mismatch errors. Pressure gain decreased as the clearance increased. The overlap also affects the pressure gain and was similar to the effect of clearance. Asymmetry of the pressure plot got worse and worse as the mismatch error increased.

Subjective Mismatch Determinants and Wage Effect of Youth Employees (청년취업자의 주관적 미스매치 결정요인 및 임금효과 분석)

  • Hwang, Kwanghoon
    • Korean Journal of Labor Studies
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    • v.24 no.2
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    • pp.181-214
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    • 2018
  • This study uses the youth panel survey (YP2007 2th ~ 9th) data of the Korea Employment Information Service to examine the phenomenon of subjective mismatch arising from the youth labor market and analyzed the determinants and wage effects of subjective mismatch. Overall, the analysis showed that the over-education and over-technology of both educational background and technical skill level in the Miss Match significantly decreased, while the lack of education and technology increased rather gradually. Next, the analysis of the determinants of downward employment(Excess of education and technology) showed that males were less likely to be downwardly employed(Excess of education and technology) than females, and in the status of workers, the probability of downward employment of regular and non-wage workers was lower than that of temporary/daily workers. Finally, as a result of estimating the wage effect of the mismatch based on the pooled OLS model and the Panel Fixed Effect model, the mismatch which has the greatest effect on the wage was found to be excessive education, and it has been estimated that youth employees who are over-educated have an average 6.7% lower wages than those who are not. After controlling for the unobserved individual characteristics, they were found to receive a lower wage of 3.2%, and it is estimated that 2.9% for the technical excess mismatch and 2.3% for the major mismatch receive lower wages than the reference group.

A BERT-based Transfer Learning Model for Bidirectional HR Matching (양방향 인재매칭을 위한 BERT 기반의 전이학습 모델)

  • Oh, Sojin;Jang, Moonkyoung;Song, Hee Seok
    • Journal of Information Technology Applications and Management
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    • v.28 no.4
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    • pp.33-43
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    • 2021
  • While youth unemployment has recorded the lowest level since the global COVID-19 pandemic, SMEs(small and medium sized enterprises) are still struggling to fill vacancies. It is difficult for SMEs to find good candidates as well as for job seekers to find appropriate job offers due to information mismatch. To overcome information mismatch, this study proposes the fine-turning model for bidirectional HR matching based on a pre-learning language model called BERT(Bidirectional Encoder Representations from Transformers). The proposed model is capable to recommend job openings suitable for the applicant, or applicants appropriate for the job through sufficient pre-learning of terms including technical jargons. The results of the experiment demonstrate the superior performance of our model in terms of precision, recall, and f1-score compared to the existing content-based metric learning model. This study provides insights for developing practical models for job recommendations and offers suggestions for future research.

The Study on Compliance Mismatch with respect to the Thickness Variation of Elastic Foundation in Anastomosis Using Simplified Suturing Model (단순봉합모델을 이용한 문합에서 탄성경계층의 두께 변화에 따른 컴플라이언스 부적합에 관한 연구)

  • 이성욱;심재준;한동섭;한근조;김태형
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2003.06a
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    • pp.1302-1305
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    • 2003
  • In this paper we analyzed the effect of compliance mismatch with respect to the thickness variation of elastic foundation(fatty tissue) in end-to-end anastomosis. This study considered the preliminary deformed shape induced by suturing in the anastomosis of coronary artery and PTFE with different diameters using simplified suturing model and the fatty tissue surrounding heart and coronary artery for more accurate result using finite element method. Area compliance(C$\sub$A/) was used to analyze the final deformed shape of the anastomotic part with respect to the thickness variation of fatty tissue under mean blood pressure, 100 mmHg(13.3kPa). The results obtained were as follows : 1. When the elastic foundation, assumed to be incompressive material, surrounded the grafts in anastomosis, the compliance mismatch of artery and PTFE was improved by 47∼72%. 2. As the initial diameter ratio(R$\sub$I/) became larger, the higher difference of compliance was induced in spite of elastic foundation surrounding grafts.

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On-line model compensation using noise masking effect for robust speech recognition (잡음 차폐를 이용한 온라인 모델 보상)

  • Jung Gue-Jun;Cho Hoon-Young;Oh Yung-Hwan
    • Proceedings of the KSPS conference
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    • 2003.05a
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    • pp.215-218
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    • 2003
  • In this paper we apply PMC (parallel model combination) to speech recognition system online. As a representative of model based noise compensation techniques, PMC compensates environmental mismatch by combining pretrained clean speech models and real-time estimated noise information. This is very effective approach for compensating extreme environmental mismatch but is inadequate to use in on-line system for heavy computational cost. To reduce the computational cost and to apply PMC online, we use a noise masking effect - the energy in a frequency band is dominated either by clean speech energy or by noise energy - in the process of model compensation. Experiments on artificially produced noisy speech data confirm that the proposed technique is fast and effective for the on-line model compensation.

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Speech Recognition in Car Noise Environments Using Multiple Models Based on a Hybrid Method of Spectral Subtraction and Residual Noise Masking

  • Song, Myung-Gyu;Jung, Hoi-In;Shim, Kab-Jong;Kim, Hyung-Soon
    • The Journal of the Acoustical Society of Korea
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    • v.18 no.3E
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    • pp.3-8
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    • 1999
  • In speech recognition for real-world applications, the performance degradation due to the mismatch introduced between training and testing environments should be overcome. In this paper, to reduce this mismatch, we provide a hybrid method of spectral subtraction and residual noise masking. We also employ multiple model approach to obtain improved robustness over various noise environments. In this approach, multiple model sets are made according to several noise masking levels and then a model set appropriate for the estimated noise level is selected automatically in recognition phase. According to speaker independent isolated word recognition experiments in car noise environments, the proposed method using model sets with only two masking levels reduced average word error rate by 60% in comparison with spectral subtraction method.

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Understanding the Mismatch between ERP and Organizational Information Needs and Its Responses: A Study based on Organizational Memory Theory (조직의 정보 니즈와 ERP 기능과의 불일치 및 그 대응책에 대한 이해: 조직 메모리 이론을 바탕으로)

  • Jeong, Seung-Ryul;Bae, Uk-Ho
    • Asia pacific journal of information systems
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    • v.22 no.2
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    • pp.21-38
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    • 2012
  • Until recently, successful implementation of ERP systems has been a popular topic among ERP researchers, who have attempted to identify its various contributing factors. None of these efforts, however, explicitly recognize the need to identify disparities that can exist between organizational information requirements and ERP systems. Since ERP systems are in fact "packages" -that is, software programs developed by independent software vendors for sale to organizations that use them-they are designed to meet the general needs of numerous organizations, rather than the unique needs of a particular organization, as is the case with custom-developed software. By adopting standard packages, organizations can substantially reduce many of the potential implementation risks commonly associated with custom-developed software. However, it is also true that the nature of the package itself could be a risk factor as the features and functions of the ERP systems may not completely comply with a particular organization's informational requirements. In this study, based on the organizational memory mismatch perspective that was derived from organizational memory theory and cognitive dissonance theory, we define the nature of disparities, which we call "mismatches," and propose that the mismatch between organizational information requirements and ERP systems is one of the primary determinants in the successful implementation of ERP systems. Furthermore, we suggest that customization efforts as a coping strategy for mismatches can play a significant role in increasing the possibilities of success. In order to examine the contention we propose in this study, we employed a survey-based field study of ERP project team members, resulting in a total of 77 responses. The results of this study show that, as anticipated from the organizational memory mismatch perspective, the mismatch between organizational information requirements and ERP systems makes a significantly negative impact on the implementation success of ERP systems. This finding confirms our hypothesis that the more mismatch there is, the more difficult successful ERP implementation is, and thus requires more attention to be drawn to mismatch as a major failure source in ERP implementation. This study also found that as a coping strategy on mismatch, the effects of customization are significant. In other words, utilizing the appropriate customization method could lead to the implementation success of ERP systems. This is somewhat interesting because it runs counter to the argument of some literature and ERP vendors that minimized customization (or even the lack thereof) is required for successful ERP implementation. In many ERP projects, there is a tendency among ERP developers to adopt default ERP functions without any customization, adhering to the slogan of "the introduction of best practices." However, this study asserts that we cannot expect successful implementation if we don't attempt to customize ERP systems when mismatches exist. For a more detailed analysis, we identified three types of mismatches-Non-ERP, Non-Procedure, and Hybrid. Among these, only Non-ERP mismatches (a situation in which ERP systems cannot support the existing information needs that are currently fulfilled) were found to have a direct influence on the implementation of ERP systems. Neither Non-Procedure nor Hybrid mismatches were found to have significant impact in the ERP context. These findings provide meaningful insights since they could serve as the basis for discussing how the ERP implementation process should be defined and what activities should be included in the implementation process. They show that ERP developers may not want to include organizational (or business processes) changes in the implementation process, suggesting that doing so could lead to failed implementation. And in fact, this suggestion eventually turned out to be true when we found that the application of process customization led to higher possibilities of failure. From these discussions, we are convinced that Non-ERP is the only type of mismatch we need to focus on during the implementation process, implying that organizational changes must be made before, rather than during, the implementation process. Finally, this study found that among the various customization approaches, bolt-on development methods in particular seemed to have significantly positive effects. Interestingly again, this finding is not in the same line of thought as that of the vendors in the ERP industry. The vendors' recommendations are to apply as many best practices as possible, thereby resulting in the minimization of customization and utilization of bolt-on development methods. They particularly advise against changing the source code and rather recommend employing, when necessary, the method of programming additional software code using the computer language of the vendor. As previously stated, however, our study found active customization, especially bolt-on development methods, to have positive effects on ERP, and found source code changes in particular to have the most significant effects. Moreover, our study found programming additional software to be ineffective, suggesting there is much difference between ERP developers and vendors in viewpoints and strategies toward ERP customization. In summary, mismatches are inherent in the ERP implementation context and play an important role in determining its success. Considering the significance of mismatches, this study proposes a new model for successful ERP implementation, developed from the organizational memory mismatch perspective, and provides many insights by empirically confirming the model's usefulness.

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