• Korea journal of population studies
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• v.21 no.2
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• pp.83-112
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• 1998

The unemployment rate in Korea increased sharply since the deep economic depression. The rapid increase of unemployment rate is attributed, in part, to economic shock, but more basically to the structural problem of labor market. Moreover over 2-3 years later, the labor market perspective looks dismal. To overcome the labor market crisis, the fundamental reforms aimed at improving the labor market function is required. Thus the focus of policy should shift from reducing unemployment to increasing employment.

• International Journal of Control, Automation, and Systems
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• v.4 no.3
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• pp.382-393
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• 2006

Mechanical system dynamics plays an important role in the area of computational structural biology. Elastic network models (ENMs) for macromolecules (e.g., polymers, proteins, and nucleic acids such as DNA and RNA) have been developed to understand the relationship between their structure and biological function. For example. a protein, which is basically a folded polypeptide chain, can be simply modeled as a mass-spring system from the mechanical viewpoint. Since the conformational flexibility of a protein is dominantly subject to its chemical bond interactions (e.g., covalent bonds, salt bridges, and hydrogen bonds), these constraints can be modeled as linear spring connections between spatially proximal representatives in a variety of coarse-grained ENMs. Coarse-graining approaches enable one to simulate harmonic and anharmonic motions of large macromolecules in a PC, while all-atom based molecular dynamics (MD) simulation has been conventionally performed with an aid of supercomputer. A harmonic analysis of a macroscopic mechanical system, called normal mode analysis, has been adopted to analyze thermal fluctuations of a microscopic biological system around its equilibrium state. Furthermore, a structure-based system optimization, called elastic network interpolation, has been developed to predict nonlinear transition (or folding) pathways between two different functional states of a same macromolecule. The good agreement of simulation and experiment allows the employment of coarse-grained ENMs as a versatile tool for the study of macromolecular dynamics.

• International Journal of Computer Science & Network Security
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• v.23 no.6
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• pp.115-120
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• 2023

Plant leaf diseases and destructive insects are major challenges that affect the agriculture production of the country. Accurate and fast prediction of leaf diseases in crops could help to build-up a suitable treatment technique while considerably reducing the economic and crop losses. In this paper, Convolutional Neural Network based model is proposed to detect leaf diseases of a plant in an efficient manner. Convolutional Neural Network (CNN) is the key technique in Deep learning mainly used for object identification. This model includes an image classifier which is built using machine learning concepts. Tensor Flow runs in the backend and Python programming is used in this model. Previous methods are based on various image processing techniques which are implemented in MATLAB. These methods lack the flexibility of providing good level of accuracy. The proposed system can effectively identify different types of diseases with its ability to deal with complex scenarios from a plant's area. Predictor model is used to precise the disease and showcase the accurate problem which helps in enhancing the noble employment of the farmers. Experimental results indicate that an accuracy of around 93% can be achieved using this model on a prepared Data Set.

• International Journal of Computer Science & Network Security
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• v.24 no.4
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• pp.107-112
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• 2024

Plant leaf diseases and destructive insects are major challenges that affect the agriculture production of the country. Accurate and fast prediction of leaf diseases in crops could help to build-up a suitable treatment technique while considerably reducing the economic and crop losses. In this paper, Convolutional Neural Network based model is proposed to detect leaf diseases of a plant in an efficient manner. Convolutional Neural Network (CNN) is the key technique in Deep learning mainly used for object identification. This model includes an image classifier which is built using machine learning concepts. Tensor Flow runs in the backend and Python programming is used in this model. Previous methods are based on various image processing techniques which are implemented in MATLAB. These methods lack the flexibility of providing good level of accuracy. The proposed system can effectively identify different types of diseases with its ability to deal with complex scenarios from a plant's area. Predictor model is used to precise the disease and showcase the accurate problem which helps in enhancing the noble employment of the farmers. Experimental results indicate that an accuracy of around 93% can be achieved using this model on a prepared Data Set.

• Journal of Labour Economics
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• v.30 no.2
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• pp.1-31
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• 2007

The purpose of this paper is to analyse wage differentials between non-regular and regular works. Data from EAPS(Economically Active Population Survey) 2005 show that the monthly wage level of non-regular worker is only 63% of regular worker and thus there exist 37% wage differentials. However, these wage differentials do not control for hours of work, the amount of human capital, job characteristics, and other individual characteristics affecting wages. If these variables are added to the hourly wage regression equation, the wage gap between non-regular and regular workers drastically decreases to 2.2%. Furthermore, decomposition of the wage differentials by Oaxaca method shows that productivity difference between non-regular and regular workers explains up to 91% of the wage gap. This implies that the magnitude of wage discrimination against non-regular workers is at most 0.2% of hourly wage of regular workers. To control for unobserved individual heterogeneities more accurately, we also construct panel data and estimate wage differentials. The results from the panel data approach show that there is no difference in the hourly wages between non-regular and regular workers. In some specifications, the wage rate of non-regular worker is rather higher than that of regular worker. These results are consistent with economic theory. Other things being equal, workers with unstable employment may require higher wages to compensate their unstability. Firms are willing to pay higher wages if they can get more flexibility from non-regular employment. Empirical results in this paper cast doubt on the view that there is wage discrimination against non-regular workers in the labor market. Public policies should be targeted for disadvantaged groups among non-regular workers, not for non-regular workers in general.

• Korean Journal of Social Welfare
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• v.57 no.2
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• pp.41-70
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• 2005

The object of the study is to examine the change of social-economic structure and poverty-shape to escape poverty. In Korea, the working poor have been increased by flexibility and division of labor market since the economic crisis in 1997, and are faced with hard conditions due to the vulnerable welfare system. Especially the workers who engage in irregular jobs were increased by restructure of labor market. Besides they are in unstable employment terms such as low payment, low-skill and exclusion from welfare-benefit. Many small independent businessmen are also in danger of poverty for enterprises trend to move abroad by globalization. Poverty policy in our country was focused on the absolute poor class that has relation with old age, unemployment, disable, disease etc, so they were the object of welfare policy. The poverties, however, are increasing rapidly after the economic crisis, and they work so hard but are still poor, that is, participation in labor market doesn't become an element to escape poverty. Thus the emergence of new poverties whose core consists of the working poor becomes to need new poverty policy. The study is to survey change of their economic conditions, their welfare conditions, their experiences and responses of social dangers after the economic crisis, then to explore the policy to escape poverty. As the result of the study, it shows that the working poor experienced many kinds of social dangers like unemployment, decrease of income etc. In their welfare conditions as their responses to the social dangers, the benefit of social insurance, enterprise welfare like legal retirement pay and paid leave and private welfare such as private pension and insurance are low. The working poor are faced with social dangers, moreover, they don't have skill or education for adapting themselves to information society. The study says that it needs variable policies for the working poor to escape poverty, and suggests payment & tax policies as stable income policy, occupational discipline and skill-education for promoting the quality of employment, moreover, social insurance as expansion of social welfare policy and housing & education policies whose objects are the working poor.

• Korean Journal of Labor Studies
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• v.17 no.1
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• pp.297-323
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• 2011

Part-time jobs in Sweden are highly feminized yet are in fair conditions in terms of job security, earnings, and collective representation. Three points are considered to be important to understand why part-time work in Sweden carries such positive characteristics. First, the part-time work in Sweden is widely spread not as a result of employers' need for labor flexibilization but as means to enhance the work-life balance, a value pursued within a broader social policy package to change the breadwinner model. Second, discrimination against part-time workers is restrained in Sweden because the boundary between part-time and full-time is not conspicuous. Most of part-time jobs are occupied by regular workers who exert the right to part-time work, hence may go back to the full-time status any time. Third, the regulation on overtime work of part-time workers as well as full-time workers is strong. It is largely agreed among researchers that part-time work contributed greatly to an increase of female employment rate in Sweden. Since the 1970s, the increased availability of part-time jobs induced married women who used to be economically inactive to the labor market and maintained them to be economically active throughout the child rearing period. From the gender perspective, one may still raise issues regarding part-time work in Sweden such as persistent feminization and strong occupational sex segregation. However, the observed trend shows that the part-time work in Sweden has functioned more as a stepping stone to the full-time work for women than as a women's trap.

• Industry Promotion Research
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• v.7 no.4
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• pp.17-23
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• 2022

This study is a study to analyze the effect of corporate working environment on job enthusiasm. Based on the 6th work environment survey conducted between 2020 and 2021 among data from the National Statistical Office, some 440 data were used for analysis. The analysis results are summarized as follows. First, the job satisfaction that the working environment had on job enthusiasm had a statistically significant effect with a β value of .307. Second, it was analyzed that there was a statistically significant difference in job enthusiasm according to general characteristics in employment type and income level. The significance probabilities were .028 and .012, respectively, and there was a significant difference between the groups of temporary workers and daily workers in employment type. was analyzed to exist. Third, there was no significant relationship between gender and work environment satisfaction. However, in Satisfied, 148 men and 181 women, out of a total of 329 respondents, 45% male and 55% female in satisfaction. could know a little more. This study is considered to be necessary to provide opportunities and resources so that members of the organization can demonstrate their abilities by creating a working environment that workers can be satisfied with.

• World Technopolis Review
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• v.1 no.3
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• pp.192-205
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• 2012

Globalization has fuelled the desire for simplicity and flexibility in rules and processes within nations. de Soto (2000) calls for the simplification of rules to enable people to join the formal economy. Friedman (2005) echoes the need for simpler rules, to attract business and capital. Market-based approaches to governing have been adopted in many nations due to globalization. Recent developments demonstrate that such approaches fail. Globalization may lead to impoverishment in the absence of proper forms of governance (Cooney 2000). That is why it has the tendency to become a "race to the bottom." Regulatory measures can be costly, and the costs of doing business are uneven across nations. This unevenness is being used as a comparative advantage. Others call this regulatory competition (Smith-Bozek 2007) or competitive governance (Schachtel and Sahmel 2000), which is similar to the model of Charles Tiebout. Collaborative governance is an approach that governments could use in lieu of the competitive method. Mechanisms that enable stakeholders to exchange information, harmonize activities, share resources, and enhance capacities (Himmelman 2002) are needed. Philippine public policy encourages a shift in modes of realizing labor market governance outcomes from command to collaboration (Sale and Bool 2010B; Sale 2011). Is labor market governance and regional development in the Philippines collaborative? Or is the opposite - competitive governance (Tiebout model) - more evident? What is the dominant approach? This preliminary research tackles these questions by looking at recent data on average and minimum wages, wage differentials, trade union density, collective bargaining coverage, small and bigger enterprises, employment, unemployment and underemployment, inflation, poverty incidence, labor productivity, family income, among others, across regions of the country. The issue is studied in the context of legal origins. Cultural explanations are broached.

• Journal of Labour Economics
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• v.23 no.1
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• pp.65-80
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• 2000

In this paper We measured average earnings differentials between the government and the private sector, the degree of earnings inequality within each sector, and estimated net earnings differentials between the public and private sector in 1982, 1985, 1990, 1995 and 1998, respectively. According to our estimation results, the public servants in Korea are being more paid than the private sector on the average, and have been enjoying higher net wage premium after controlling variables such as education level, job experience and occupation, etc. In terms of earning inequality within each sector, the public sector was proven to have very narrow earnings differentials between the top and the bottom, compared to quite large differentials in the private sector. Wide recognition that the public servants' compensation is lower in Korea seems quite wrong. The problem to be resolved is the earnings standardization in the public sector and the strong trend toward more equality in recent years. We recommend that the wage gap between the higher rank and the lower rank should be extended, and employment flexibility within the lower positions or ranks of the bureaucracy should be enhanced.