• The Transactions of the Korean Institute of Electrical Engineers P
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• v.62 no.4
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• pp.169-174
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• 2013

Due to the increase of power consumption, it is difficult to construct an accurate prediction model for daily peak power demand. It is very important work to know power demand in next day to manage and control power system. In this research, we develop a daily peak power demand prediction method based on Extreme Learning Machine(ELM) with fast learning procedure. Using data sets between 2006 and 2010 in Korea, the proposed method has been intensively tested. As the prediction results, we confirm that the proposed method makes it possible to effective estimate daily peak power demand than conventional methods.

• Journal of Practical Agriculture & Fisheries Research
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• v.13 no.1
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• pp.83-102
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• 2011

The purpose of this study carried out to analyze production status, pricing trend and distribution status of landscape plants, so that it could predict the demand of landscape plants for the balance of supply and demand. The production amount of landscape plants made constantly increased. The annual output of shrubs increased more higher than that of trees. The prices of trees have raised consistently, but shrubs were susceptible to price fluctuations. And there were still many problems in the distribution structure. The landscaping work has focused on the metropolitan area. And large-scale nationwide projects were scheduled for coming years, so the demand of landscape plants was expected to expend. However, the lack of increase in production amounts of landscape plants, it is cause to supply problems. So, demand forecast was necessary to control the production of landscape plants.

• Korean Journal of Occupational Health Nursing
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• v.29 no.4
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• pp.262-272
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• 2020

Purpose: This study aims to investigate the degree of job demand, job resources, burnout, and the organizational commitment of administrative nurses based on the job demands-resources model. Further, it seeks to confirm the influencing factors affecting nurses' burnout and organizational commitment. Methods: The participants were 188 administrative nurses working at hospitals (one tertiary hospital and six general hospitals) located in D City. The collected data were analyzed with IBM SPSS Statistics 23.0 using frequency, percentage, mean, standard deviation, t-tests, ANOVA, Pearson's correlation coefficient, and multiple regression analysis. Results: The influential factors of burnout were role conflict (β=.50), job demand (β=.18), job position (β=-.17, team leaders and above), and social support (β=-.15). The regression model had an explanatory power of 59%. The influential factors of organizational commitment were appropriate rewards (β=.59), job position (β=.15, team leader or above), working department (β=.14, referral center and health screening administration department), and social support (β=.18). The regression model had an explanatory power of 59.5%. Conclusion: The results support the job demands-resources model, and interventions should be developed to decrease job demand and provide sufficient job resources.

• Journal of Engineering Education Research
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• v.12 no.2
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• pp.89-95
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• 2009

This thesis investigated way of employment, education course of a training school of Programmable Logic Controller a Field. I inquired into a demand of an engineer and a necessary level of professional education. As a result, I have a purpose in what offer the information that cared for a beginning to work elevation and education training and boat development of a student more than. Faced a human power demand in an education demand and a field rehearsal student demand and analyzed it. The sample extraction used industrial classification, work of scale, Assignment sample extraction way (quota sampling). All data called at a silver phone and the investigated, The data parser analyzed the statistics that used Microsoft Excel.

• Journal of Korean society of Dental Hygiene
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• v.18 no.5
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• pp.693-705
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• 2018

Objectives: This study aimed to identify the importance of the directivity of reflecting on a realistic task when aiming to reorganize a relevant law for dental hygienists through examining dental hygiene students' perceived need for a relevant law on dental hygiene related work. Methods: A survey was conducted targeting dental hygiene students from March 28 to April 30, 2018. The following findings were obtained. The results were summarized as follows. The collected data were analyzed using the SPSS WIN 21.0 statistical program. Results: With reference to the influence of the need for a work-related legislation on dental hygienists' awareness of their legal rights, findings revealed that the latter was higher when there was higher involvement in precision impression procedures, higher involvement in occlusal adjustment in the middle stage, and higher perceived need for legislation on a comprehensive dental hygiene course (all p<0.05). Conclusions: Based on these findings, it is considered necessary to pursue a national solution for modifying the relevant legal system to provide institutional support for dental hygienists' work. Additionally, the worry in the whole dentistry in order to establish dental hygienists' task.

• Asia Marketing Journal
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• v.16 no.2
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• pp.1-14
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• 2014

This study applies the job-demands resource (JD-R) model to investigate the interactive effect of job demands and job resources in predicting the development of service employee work engagement and customer-oriented attitude. This paper proposed a theoretical model that suggests that the service employee's work engagement is the consequence of the employee's perceived support from the organization and its customers (customer participation) and leads to a customer-oriented attitude. However, the effect of organizational support is somewhat hindered by job insecurity, demonstrating the inability of an organizationally provided job resource to overcome the job demand of job insecurity. As a type of job demand from customer's perspective, customer crowding is suggested as a negative moderator in the link between customer participation and work engagement. As such, this article proposes how different elements of a service employee's work environment interact to ultimately influence the service employee's customer-oriented attitude. Specifically, the current research focuses on how the negative contextual elements of job insecurity and job crowding (i.e., job demands) interact with the potentially positive elements of organizational support and customer participation (i.e., job resources), as well as with an employee's customer orientation, to ultimately develop a customer-oriented attitude. This study concludes with some propositions for potential causal relationships among key constructs that can be empirically tested in future research, as well as implications of the current study for both managers and researchers.

• Journal of Digital Convergence
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• v.18 no.11
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• pp.559-569
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• 2020

This study was conducted to examine relationships among job environment, psychological work demand, fatigue, musculoskeletal symptoms, then to investigate the factors influencing musculoskeletal symptoms of care workers in long-term care hospitals. A total of 128 care workers recruited from three long-term care hospitals in S city. Self-reported questionnaire survey was conducted from April to May, 2020. The results were as follows: The musculoskeletal symptoms of the care workers were the sum of the frequency of symptom occurrence, duration of symptoms, and intensity of pain in the three parts of the shoulder, hand/wrist/finger, and waist. The average score was 11.41±9.50 points out of 42. According to the hierarchical regression analysis, their musculoskeletal symptoms were significantly influenced by working department(β=.18, p=.034), psychological work demand(β=.21, p=.013) and fatigue(β=.25, p=.003), explained 21.6% of the total variance(F=6.87, p<.001). Based on our results, in order to reduce musculoskeletal symptoms of care workers in nursing hospitals, it is necessary to develop and apply an intervention program that can reduce psychological work demand and fatigue in consideration of the severity of the patient in charge.

• Korean Journal of Social Welfare
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• v.66 no.3
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• pp.133-158
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• 2014

Over the past decades, changes in economic, social and demographic structures have pushed the growth of care employment across countries around the world. Women's increasing labor force participation has squeezed the time so far available for unpaid caregiving and led to increased demand for paid care services. Population aging and increasing needs for pre-school education also have contributed to the growth in demand for care services. As a result, care workers now comprise a large and growing segment of the labor force in many countries including South Korea. But, there are not a few problems. Especially, we take underpaid and undervalued care work very seriously. care work has been generally characterized as underpaid and undervalued compared with other work in developed and developing countries alike. This study tries to show current situation of care work and estimate the wage penalty for doing care work in Korea using official employment micro-data and applying propensity matching analysis. Especially, recent expansion of social service is a big step up for Korean Welfare State. But, there are not a few problems. Especially, we take underpaid and undervalued care work very seriously. This presentation tries to show current situation of care work and estimate the wage penalty for doing care work in Korea using official employment micro-data and applying propensity matching analysis.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.64 no.2
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• pp.74-78
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• 2015

With the improvement of living standards and economic development, electricity consumption continues to grow. The electricity is a special energy which is hard to store, so its supply must be consistent with the demand. The objective of electricity demand forecasting is to make best use of electricity energy and provide balance between supply and demand. Hence, it is very important work to forecast electricity demand with higher precision. So, various forecasting methods have been developed. They can be divided into five broad categories such as time series models, regression based model, artificial intelligence techniques and fuzzy logic method without considering special-day effects. Electricity demand patterns on holidays can be often idiosyncratic and cause significant forecasting errors. Such effects are known as special-day effects and are recognized as an important issue in determining electricity demand data. In this research, we developed the power demand forecasting method using ELM(Extreme Learning Machine) for special day, particularly, lunar new year and Chuseok holiday.

• Journal of Preventive Medicine and Public Health
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• v.32 no.4
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• pp.505-512
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• 1999

Objectives : The purpose of this study was to assess the relationship between job strains and absenteeism from work. Methods : The study design was cross-sectional, and the study subjects consisted of 1,166 workers who were employed in the small-sized industries. A self administered questionnaire was used to measure the general characteristics, job characteristics(job demand, job control), and social support(coworker support, supervisor support) at work. The Job Content Questionnaire(JCQ) was used to assess job demand(2 items) and decision lattitude(10 items). Social support at work (10 items) was measured using JCQ. Sick absence was collected using self-report and were rechecked by the attendance record of their company. Odds ratios and 95% confidence intervals for the association between job strain and sick absence were estimated. The modifying effect of social support was evaluated by stratification. Logistic regression was used to estimate the relationship between job strain and sick absence. Results : In the bivariate analysis, the variables related to sick absence were age, marital status, occupation, job demand. Four distinctly different kinds of level of job strain were generated by the combination of job demand and job control: low strain group, high strain group, active group, and passive group. The crude odds ratio of high job strain was 1.78(95% CI: 1.26-2.53), and those of active group and passive group were 1.33(95% CI: 1.07-1.66) and 1.13 (95% CI: 0.88-1.47), respectively. The odds ratio of high job strain after adjusting for age and occupation were still significant The odds ratio of high job strain in low social support was 5.96(95% CI: 2.45-14.51), but that in high social support was 0.73(95% CI: 0.26-2.01). Conclusions : Job strain was associated with increased risk of absenteeism from work, and social support at work modified the association between job strain and sick absence.