• Journal of the Korea Society for Simulation
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• v.14 no.3
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• pp.91-100
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• 2005

Grid computing is widely applicable to various fields of industry including process control and manufacturing, military command and control, transportation management, and so on. In a viewpoint of application area, grid computing can be classified to three aspects that are computational grid, data grid and access grid. This paper focuses on computational grid which handles complex and large-scale computing problems. Computational grid is characterized by system dynamics which handles a variety of processors and jobs on continuous time. To solve problems of system complexity and reliability due to complex system dynamics, computational grid needs scheduling policies that allocate various jobs to proper processors and decide processing orders of allocated jobs. This paper proposes a service prediction-based job scheduling model and present its scheduling algorithm that is applicable for computational grid. The service prediction-based job scheduling model can minimize overall system execution time since the model predicts the next processing time of each processing component and distributes a job to a processing component with minimum processing time. This paper implements the job scheduling model on the DEVS modeling and simulation environment and evaluates its efficiency and reliability. Empirical results, which are compared to conventional scheduling policies, show the usefulness of service prediction-based job scheduling.

• Proceedings of the Korea Society for Simulation Conference
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• 2005.05a
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• pp.29-33
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• 2005

Grid computing is widely applicable to various fields of industry including process control and manufacturing, military command and control, transportation management, and so on. In a viewpoint of application area, grid computing can be classified to three aspects that are computational grid, data grid and access grid. This paper focuses on computational grid which handles complex and large-scale computing problems. Computational grid is characterized by system dynamics which handles a variety of processors and jobs on continuous time. To solve problems of system complexity and reliability due to complex system dynamics, computational grid needs scheduling policies that allocate various jobs to proper processors and decide processing orders of allocated jobs. This paper proposes the service prediction-based job scheduling model and present its algorithm that is applicable for computational grid. The service prediction-based job scheduling model can minimize overall system execution time since the model predicts a processing time of each processing component and distributes a job to processing component with minimum processing time. This paper implements the job scheduling model on the DEVSJAVA modeling and simulation environment and simulates with a case study to evaluate its efficiency and reliability Empirical results, which are compared to the conventional scheduling policies such as the random scheduling and the round-robin scheduling, show the usefulness of service prediction-based job scheduling.

• Journal of Preventive Medicine and Public Health
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• v.40 no.5
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• pp.351-362
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• 2007

Objectives: The present study was intended to assess the mental health of nurses working for university hospitals and to establish which factors determine their mental health. Methods: Self-administered questionnaires were given to 1,486 nurses employed in six participating hospitals located in Daejeon City and Chungnam Province between July 1 st and August 31st, 2006. The questionnaire items included sociodemographic, job-related, and psychosocial factors, with job stress factors (JCQ) as independent variables and indices of mental health status (PWI, SDS and MFS) as dependent variables. For statistical analysis, the Chi-square test was used for categorical variables, with hierarchical multiple regression used for determining the factors effecting mental health. The influence of psychosocial and job-related factors on mental health status was assessed by covariance structure analysis. The statistical significance was set at p<0.05. Results: The factors influencing mental health status among subject nurses included sociodemographic characteristics such as age, number of hours of sleep, number of hours of leisure, and subjective health status; job-related characteristics such as status, job satisfaction, job suitability, stresses such as demands of the job, autonomy, and coworker support; and psychosocial factors such as self-esteem, locus of control and type A behavior patterns. Psychosocial factors had the greatest impact on mental health. Covariance structure analysis determined that psychosocial factors affected job stress levels and mental health status, and that the lower job stress levels were associated with better mental health. Conclusions: Based on the study results, improvement of mental health status among nurses requires the development and application of programs to manage job stress factors and/or psychosocial factors as well as sociodemographic and job-related characteristics.

• International Journal of Contents
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• v.10 no.4
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• pp.83-89
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• 2014

This study suggests an effective online guide for foreign teachers who want to teach English in Korean schools. When designing this guide for overseas applicants, there should be a consistent analysis to reflect the process of the system. Thus, this paper provides an analysis and results for an integrated online guide to increase the efficiency based on the pedagogical framework for analysis of the 'ADDIE' model (Analyze, Design, Development, Implementation, and Evaluation). The number of job applicants who wish to teach English in Korea is growing rapidly because Korea is one of the fastest growing economies in the world and the 'Korean Wave' has especially been experiencing significant changes with the development of social network services and digital technologies. As a result, overseas applicants' expectations regarding Korea when they are seeking information and applying is very high, but the aspects of the procedure provided by the government are somewhat disappointing. The paper presents customer needs and specific recommendation for each step of the application process to improve the guide's effectiveness.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.39 no.2
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• pp.175-179
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• 1994

This experiment was carried out to investigate the effect of improved NPK fertilizer and ameliorator application methods on job's tears yield and soil properties in the newly-reclaimed land from 1985 through 1988. Job's tears height of integrated improvement plot was higher than the other plots, and increased from the 1st and the 2nd year, but decreased from the 3rd year when soil conditioner was not applied. Average yield of the crop in the integrated improvement plot was 2.16 t /ha being increased by 49% more than the control plot, and the yield was the greatest in order of integrated improvement>subsoiling>phosphate>lime>compost>control plot. Soil bulk density and hardness of the topsoil decreased to the 3rd year, but increased in the 4th year. Soil pH of the topsoil was not changed significantly by different soil depths and cultivated years.

• Journal of the Korea Convergence Society
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• v.8 no.9
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• pp.17-23
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• 2017

The National Competency Standards (NCS) is a standard that allows korea to efficiently organize the training of national talents by systematically classifying the knowledge, skills, and attitudes necessary for the job of industry groups. Ontology is a discipline that allows the abstract information in the human concept to be expressed in a form that enables computing to be done. There is a need to formalize the knowledge management by converting the NCS system currently stored in the simple DB into an ontology. This study design and implement NCS ontology for the task of "Application SW Engineering" among vast NCS jobs, enabling intelligent knowledge management and inference search of the job. In addition, it provides consistency with the formalization specification of the learning contents structure of the competency unit elements of the job, and provides the basis for extension to the whole NCS job ontology.

• Journal of Korean society of Dental Hygiene
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• v.22 no.3
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• pp.189-197
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• 2022

Objectives: The purpose of this study was to investigate the level of systemic disease-related knowledge among dental hygienists and analyze the effect on their job performance, empowerment, and satisfaction to provide basic data for expanding education on systemic diseases among dental hygienists and improving their job performance, empowerment and satisfaction. Methods: A survey was conducted among dental hygienists working in Busan and Gyeongsangnam-do region, South Korea, from October 27 to November 10, 2020, with a total of 245 questionnaires included in the final analysis. Results: Results of analysis revealed an average score for systemic disease-related knowledge among dental hygienists of 16.53±3.33 points and the higher the systemic disease-related knowledge, the higher the job performance, empowerment, and satisfaction. The higher the coronary artery disease knowledge and respiratory and infectious disease knowledge, the higher the job performance, and the higher the respiratory and infectious disease knowledge, the higher the job empowerment and job satisfaction. Conclusions: This study revealed that the higher dental hygienists' level of systemic disease-related knowledge, the higher their job performance, empowerment, and satisfaction. Therefore, this study suggests that dental hygienists' education on systemic disease-related knowledge should be expanded, and diverse systemic disease education programs should be developed for application in clinical practice.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.3 no.1
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• pp.57-62
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• 2010

This paper proposes two methods for the construction of job offer and job hunting information in order to supply an environment that can easily connects to job hunting information. First, the database expansion, category rules and ERD(Entity Relation Diagram) are designed for the construction of job hunting site with real example. Second, the prime number labeling rules are designed for the strong intimacy of label rules. Therefore, according to using the systematic and regular rules when we design and construct a database, the consistency and efficiency are improved in the database being constructed and being operated. And the convenience of application program development and operation are easily provided. In addition, the proposed code-expansion rule can be defined and be standardized in the domestic and foreign job offer and job hunting information provision agency.

• Journal of the Ergonomics Society of Korea
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• v.36 no.3
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• pp.245-254
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• 2017

Objective: This study aims to investigate the effects of organizational support, risk perception and job satisfaction on safety consciousness in confined space works. Background: Confined space works are rated as hazardous works with high injury frequency and fatalities. But there were few researches for the occupational injury of the confined space workers. Method: Questionnaire survey targeting 236 workers working in confined spaces were carried out to construct the structural equation model on safety consciousness. The participants were all male workers, and they install and maintain or clean facilities mainly in the confined spaces. Results: A structural equation model for safety consciousness was proposed, and validated based on perceived organizational support, risk perception and job satisfaction factors. Perceived 'organizational support' contributed significantly to 'worker's safety consciousness' both directly and indirectly. Also, perceived 'worker's safety consciousness' was also affected by perceived 'job satisfaction' and 'risk perception'. In terms of magnitude of relationships, the direct effect of perceived 'job satisfaction' on 'worker's safety consciousness' was the greatest among the interrelationships among latent factors. Conclusion: Workers' safety consciousness can function as a leading indicator for safety and hazard prevention of workers. Application: The results can be used in developing safety prevention programs for confined space workers.

• Journal of the Korea Society of Computer and Information
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• v.21 no.2
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• pp.89-96
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• 2016

This study analyzed with the case analysis of a series of processes from job analysis survey. And results analysis, and academic achievement in order to transform the curriculum of existing courses into the curriculum of NCS-based courses. Also this study analysed of the existing curriculum. Also analyzed the trend of workforce trends and needs of the broadcasting content industry. Through a needs analysis for the industry and alumni and students, video graphics, video editing and video directing were selected. In this paper, it dealt mainly with respect to the video graphics in a dual job. Modeling capability into the unit through a job analysis, animation, effects and lighting were chosen accordingly based introduction of 3D Graphics. Application of 3D Graphics were derived two courses and selected profiles and performance criteria. This training according to the NCS curriculum for students was evaluated based on the student's job was to investigate the learning ability. Academic achievement were the result satisfaction.