• Title/Summary/Keyword: Discrimination Model

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The Effect on Firm's Effort to Correct Discrimination against Fixed-term Workers of Articles Regarding Prohibition or Correction of Discrimination in the Fixed-term Worker Protection Law (차별시정에 관한 법률이 기업들의 차별시정 노력에 미친 영향)

  • Choi, Hyung-Jai
    • Journal of Labour Economics
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    • v.34 no.3
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    • pp.81-117
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    • 2011
  • This study examined how firms responded to the articles regarding the prohibition or correction of discrimination against fixed-term workers in the 'fixed-term worker protection law', which has been effective since July of 2007 in Korea. Data used cone from the Korean Workplace Survey, and a difference-in-differences method was employed for the identification of the causal effect, noting that the 'discrimination prohibition law' has been applied to firms over stages based on their sizes. The empirical results show no strong evidence that the law played a positive role in reducing differentials between permanent workers and fixed-term workers in the areas of wage and various employee benefits, including the provision of severance pay, annual leave, and 4 major social insurances for fixed-term workers. A more thorough future analysis on the causes of the insignificant impact of the law in some employee welfare benefits, along with supplemental policies, is needed to have the law achieve the desired goal of removing discrimination at the workplace.

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Nondestructive Classification of Viable and Non-viable Radish (Raphanus sativus L) Seeds using Hyperspectral Reflectance Imaging (초분광 반사광 영상을 이용한 무(Raphanus sativus L) 종자의 발아와 불발아 비파괴 판별)

  • Ahn, Chi Kook;Mo, Chang Yeun;Kang, Jum-Soon;Cho, Byoung-Kwan
    • Journal of Biosystems Engineering
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    • v.37 no.6
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    • pp.411-419
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    • 2012
  • Purpose: Nondestructive evaluation of seed viability is a highly demanded technique in the seed industry. In this study, hyperspectral imaging system was used for discrimination of viable and non-viable radish seeds. Method: The spectral data with the range from 400 to 1000 nm measured by hyperspectral reflectance imaging system were used. A calibration and a test models were developed by partial least square discrimination analysis (PLS-DA) for classification of viable and non-viable radish seeds. Either each data set of visible (400~750 nm) and NIR (750~1000 nm) spectra and the spectra of the combined spectral ranges were used for developing models. Results: The discrimination accuracy of calibration was 84% for visible range and 76.3% for NIR range. The discrimination accuracy of test was 84.2% for visible range and 75.8% for NIR range. The discrimination accuracies of calibration and test with full range were 92.2% and 92.5%, respectively. The resultant images based on the optimal PLS-DA model showed high performance for the discrimination of the nonviable seeds from the viable seeds with the accuracy of 95%. Conclusions: The results showed that hyperspectral reflectance imaging has good potential for discriminating nonviable radish seeds from massive amounts of viable seeds.

The effect of Korean Employment Protection Legislation on Eliminating Discrimination on Non-Regular workers (비정규직 보호법의 차별 시정 효과)

  • Ko, Hyejin
    • 한국사회정책
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    • v.25 no.4
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    • pp.125-161
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    • 2018
  • This article aims to investigate the impact of Korean employment protection legislation that has implemented since 2007 on eliminating discrimination on non-regular worker's wage and social security. It is used the panel Tobit model reflecting the variation of implementation time according to the size of establishments. Although the employment protection laws for non-regular workers have implemented, the wage gap and discrimination in social security for non-regular workers have continued. Of course, the discrepancies on wage and social security were founded not only between regular and non-regular workers but also within non-regular workers. For reducing the discriminations, this study proposes to restrict the reason for justifying discrimination, and the introduction of a new approach to accessing the discrimination and complimentary credit system. Besides, this study suggests to actively review the strengthening of regulations on the use of non-regular workers.

Discrimination of Pathological Speech Using Hidden Markov Models

  • Wang, Jianglin;Jo, Cheol-Woo
    • Speech Sciences
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    • v.13 no.3
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    • pp.7-18
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    • 2006
  • Diagnosis of pathological voice is one of the important issues in biomedical applications of speech technology. This study focuses on the discrimination of voice disorder using HMM (Hidden Markov Model) for automatic detection between normal voice and vocal fold disorder voice. This is a non-intrusive, non-expensive and fully automated method using only a speech sample of the subject. Speech data from normal people and patients were collected. Mel-frequency filter cepstral coefficients (MFCCs) were modeled by HMM classifier. Different states (3 states, 5 states and 7 states), 3 mixtures and left to right HMMs were formed. This method gives an accuracy of 93.8% for train data and 91.7% for test data in the discrimination of normal and vocal fold disorder voice for sustained /a/.

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Gender in Medical Training and Academic Medicine

  • Lee, Hak-Seung;Lee, Chang-Woo
    • Korean Medical Education Review
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    • v.15 no.1
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    • pp.54-58
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    • 2013
  • There has been an increase in the number of female doctors worldwide. Women now represent half of all medical students, with almost the same numbers of men and women becoming physicians. There is a pool of talented women in our midst, and it is our responsibility as leaders to find those individuals and groom them for progress. However, residency training and academic education still resemble the historical model when there were few women in medicine. Gender differences in medical specialty choices can cause a maldistribution of doctors by specialty and geographical area, which could cause significant problems at the national health care system level. Major challenges facing female physicians include gender discrimination and sexual harassment, and work/family conflicts. Women are largely under-represented in academic medicine and experience discrimination in the academic environments. Recent issues about related to the "feminization of medicine" raise important questions forabout how academic medicine deals with gender issues. To better accommodate the needs of female doctors and ensure that they will have successful careers, structural and cultural changes to medical educations are needed.

Welfare Impacts of Behavior-Based Price Discrimination with Asymmetric Firms

  • Chung, Hoe-Sang
    • Asia-Pacific Journal of Business
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    • v.11 no.1
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    • pp.17-26
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    • 2020
  • Purpose - This paper studies the welfare impacts of behavior-based price discrimination (BBPD) when firms are asymmetric in quality improvement costs. Design/methodology/approach - To this end, we consider a differentiated duopoly model with an inherited market share, where firms first make quality decisions and then compete in prices according to the pricing scheme, namely, uniform pricing or BBPD. Findings - We show that BBPD increases social welfare relative to uniform pricing if the firms' cost gap is large enough. This is because BBPD induces more consumers to buy a high-quality product than under uniform pricing, and because a low-cost firm's profit loss from BBPD decreases as the cost difference increases. Research implications or Originality - Our analysis offers policy implications for markets where BBPD raises antitrust concerns, and quality competition prevails.

Sensitivity studies on a novel nuclear forensics methodology for source reactor-type discrimination of separated weapons grade plutonium

  • Kitcher, Evans D.;Osborn, Jeremy M.;Chirayath, Sunil S.
    • Nuclear Engineering and Technology
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    • v.51 no.5
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    • pp.1355-1364
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    • 2019
  • A recently published nuclear forensics methodology for source discrimination of separated weapons-grade plutonium utilizes intra-element isotope ratios and a maximum likelihood formulation to identify the most likely source reactor-type, fuel burnup and time since irradiation of unknown material. Sensitivity studies performed here on the effects of random measurement error and the uncertainty in intra-element isotope ratio values show that different intra-element isotope ratios have disproportionate contributions to the determination of the reactor parameters. The methodology is robust to individual errors in measured intra-element isotope ratio values and even more so for uniform systematic errors due to competing effects on the predictions from the selected intra-element isotope ratios suite. For a unique sample-model pair, simulation uncertainties of up to 28% are acceptable without impeding successful source-reactor discrimination. However, for a generic sample with multiple plausible sources within the reactor library, uncertainties of 7% or less may be required. The results confirm the critical role of accurate reactor core physics, fuel burnup simulations and experimental measurements in the proposed methodology where increased simulation uncertainty is found to significantly affect the capability to discriminate between the reactors in the library.

Discrimination and Quantitative Analysis of Watercore in Apple Fruit by Near Infrared Transmittance Spectroscopy

  • Kim, Eun-Ok;Sohn, Mi-Ryeong;Kwon, Young-Kil;Lin, Gou-Lin;Cho, Rae-Kwang
    • Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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    • 2001.06a
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    • pp.1529-1529
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    • 2001
  • The watercore in apple is very important factor in storage and sorting of fruit. Most consumers tend to prefer the apple included watercore in immediately after harvest, however the watercore causes fruit flesh to brown during storage and lose the worth after all. But it is practically impossible to judge to the naked eye whether an apple has watercore or not. Therefore, the rapid, accurate and non-destructive analysis method for discrimination of watercore should be settled without delay. In this study we attempted the discrimination and quantitative analysis of watercore in apple fruit using near-infrared transmittance spectroscopy ‘Fuji’ apple fruits produced in Kyungpook of Korea was used in this experiment. The watercore content in apple was evaluated by graphic treatment of culled slice sections(10 mm). NIR transmittance spectra were collected over the 500 to 1000 nm spectral region with a spectrometer (Sentronic Co., Germany). The calibration models were carried out by partial least squares (PLS) analysis between NIR spectra data of apples and chemical data of watercore content. The spectra were different in absorbance between apple included watercore and not included one. Apple included watercore had higher absorption band than sample not included one at 732 and 820 nm. The calibration model seems to be accurate to predict the watercore content in apple fruit, the correlation coefficient (R) and root mean square error of prediction (RMSEP) were 0.99 and 0.93%, respectively. This result indicates that the PLSR calibration model by using NIR transmittance spectroscopy could be used for discrimination of watercore in apple fruit.

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A Comparison of Speech/Music Discrimination Features for Audio Indexing (오디오 인덱싱을 위한 음성/음악 분류 특징 비교)

  • 이경록;서봉수;김진영
    • The Journal of the Acoustical Society of Korea
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    • v.20 no.2
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    • pp.10-15
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    • 2001
  • In this paper, we describe the comparison between the combination of features using a speech and music discrimination, which is classifying between speech and music on audio signals. Audio signals are classified into 3classes (speech, music, speech and music) and 2classes (speech, music). Experiments carried out on three types of feature, Mel-cepstrum, energy, zero-crossings, and try to find a best combination between features to speech and music discrimination. We using a Gaussian Mixture Model (GMM) for discrimination algorithm and combine different features into a single vector prior to modeling the data with a GMM. In 3classes, the best result is achieved using Mel-cepstrum, energy and zero-crossings in a single feature vector (speech: 95.1%, music: 61.9%, speech & music: 55.5%). In 2classes, the best result is achieved using Mel-cepstrum, energy and Mel-cepstrum, energy, zero-crossings in a single feature vector (speech: 98.9%, music: 100%).

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Study on Development of Non-Destructive Measurement Technique for Viability of Lettuce Seed (Lactuca sativa L) Using Hyperspectral Reflectance Imaging (초분광 반사광 영상을 이용한 상추(Lactuca sativa L) 종자의 활력 비파괴측정기술 개발에 관한 연구)

  • Ahn, Chi-Kook;Cho, Byoung-Kwan;Mo, Chang Yeun;Kim, Moon S.
    • Journal of the Korean Society for Nondestructive Testing
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    • v.32 no.5
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    • pp.518-525
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    • 2012
  • In this study, the feasibility of hyperspectral reflectance imaging technique was investigated for the discrimination of viable and non-viable lettuce seeds. The spectral data of hyperspectral reflectance images with the spectral range between 750 nm and 1000 nm were used to develop PLS-DA model for the classification of viable and non-viable lettuce seeds. The discrimination accuracy of the calibration set was 81.6% and that of the test set was 81.2%. The image analysis method was developed to construct the discriminant images of non-viable seeds with the developed PLS-DA model. The discrimination accuracy obtained from the resultant image were 91%, which showed the feasibility of hyperspectral reflectance imaging technique for the mass discrimination of non-viable lettuce seeds from viable ones.