• Journal of the Korean Home Economics Association
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• v.33 no.2
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• pp.187-195
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• 1995

The objectives of this study were 1) to find the value and stress for the house work in the kitchen, 2) to predict the demand for the kichen furniture according to socioeconomic classes of Seoul residents. Questionnaires were administered to 1940 homemakers in Seoul The major findings were as follows : There were significant differences in demand for kitchen furniture according to socioeconomic slasses. The upper-lower class residents preferred a higher cost furniture of U shaped work center The middle - middle class residents wanted the free standing type furniture of L shaped or kitchenette type. The middle-lower class residents preferred a lower cost furniture of U shaped or kitchenette type.

• Journal of Korean Academy of Nursing
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• v.40 no.5
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• pp.650-661
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• 2010

Purpose: Work-related anxiety and depression are frequent work-related mental health problems. In this study the relationship between workplace violence and work-related anxiety and/or depression among Korean employees was evaluated. Methods: Data were obtained from the Korean Working Condition Survey of 2006. Participants were 9,094 Korean workers aged 15-64 yr. Multiple logistic regression using SAS version 9.1 was used. Results: The incidence of work-related anxiety, work-related depression and workplace violence were 4.5%, 3.5%, and 1.8% respectively. When personal and occupational risk factors were adjusted, workplace violence was significantly associated with work-related anxiety and depression (OR for anxiety: 4.07, CI: 2.62-6.34; OR for depression: 4.60, CI: 2.92-7.25). Work-related anxiety was significantly related to type of employment, working period at present workplace, work time, shift work, job demand, and social support from superiors. Factors influencing work-related depression were gender, education, alcohol consumption, company size, type of employment, working period at present workplace, work time, shift work, and job demand. Conclusion: To promote psychological health in workers there is a need to develop work-related anxiety and depression prevention programs and to decrease in workplace violence. In developing these programs, consideration should be given to personal factors, working conditions, and psychosocial working environments.

• The Journal of Society for e-Business Studies
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• v.19 no.1
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• pp.145-157
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• 2014

The advent of ubiquitous connectivity from smart devices and network is changing the lifestyles of workers and work patterns. However, the smart work for the knowledge workers and mobile workers is not yet popular due to not enough services in supporting smart work and difficulties in employing smart work. For these reasons, it is necessary to study the current smart work industry to provide the bases for incubating smart work industry and increasing the smart work adoption. In this study, first, we reviewed and analyzed the smart work services. And then, we classified the smart work industry based on their services. Second, we conducted a survey study to identify the factors that affect on the adoption of smart work. Finally, we provided the current adoption rate of smart work services and discussed the Willing-To-Use, cost, and barriers from the smart work adoption.

• Proceedings of the Korean Society for Technology of Plasticity Conference
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• 1999.08a
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• pp.452-456
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• 1999

Newly constructed plate shape control system, using attached shape measuring instruments and work roll bender, was put in service in No. 2 Plate Mill, POSCO. Recently, customers demand the improvement of flatness and plate crown accuracy. Many competition Plate Mill introducted shape control system, for example, pair cross mill, work roll bender which includes shape measuring instrument and shape control mathematical models, and No. 2 Plate Mill, POSCO introducted work roll bender and shape measuring instruments. This report describes the properties of No. 2 Plate Mill shape control system and work roll bender.

• Journal of Korean Institute of Industrial Engineers
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• v.8 no.1
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• pp.22-28
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• 1982

Under a continuous-review inventory system, the inventory position process was proved to be asymptotically independent of the general renewal demand processes, when the two processes form an asymptotic unimodel joint distribution. The analytical technique implemented through this work seems to be more like general, and so the periodic-review system can be similarly investigated. In conclusion, the results may be evaluated to direct to the analytical analyses of some inventory systems which have been treated under some restrictions on demand processes.

• Journal of the Korea Safety Management & Science
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• v.9 no.6
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• pp.1-7
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• 2007

A study wish to present relation of safety characteristic deployment, which has the safety demand, safety characteristic, protection characteristic, safety regulation, safety education of unit work process. Safety characteristic deployment will be used in safety management education system design with a method of safety management system construction of unit work process.

• Journal of the Korea Safety Management & Science
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• v.11 no.3
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• pp.11-18
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• 2009

Unless certain limitation is increasing the number of the job type will be inevitable in the future because of development of industry, adaptation on speedy life style, and leisure oriented nuclear family style. In this paper, a prospective model of supply and demand of work force has been developed basing on various categories of industries and patterns about employees to look over efficient supply and demand of work force suiting employment of work force policies. In this paper, after Analyzing job preference, we have noticed a more stable job system and the results showed significant improvements over the existing job system.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.294-298
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• 2015

In the United States, the completion of Construction Work Zone (CWZ) impact assessments for all federally-funded highway infrastructure improvement projects is mandated, yet it is regarded as a daunting task for state transportation agencies, due to a lack of standardized analytical methods for developing sounder Transportation Management Plans (TMPs). To circumvent these issues, this study aims to create a spatiotemporal modeling framework, dubbed "SWAT" (Spatiotemporal Work zone Assessment for TMPs). This study drew a total of 43,795 traffic sensor reading data collected from heavily trafficked highways in U.S. metropolitan areas. A multilevel-cluster-driven analysis characterized traffic patterns, while being verified using a measurement system analysis. An artificial neural networks model was created to predict potential 24/7 traffic demand automatically, and its predictive power was statistically validated. It is proposed that the predicted traffic patterns will be then incorporated into a what-if scenario analysis that evaluates the impact of numerous alternative construction plans. This study will yield a breakthrough in automating CWZ impact assessments with the first view of a systematic estimation method.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.63 no.3
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• pp.189-194
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• 2014

Due to the increasing of power consumption, it is difficult to construct accurate prediction model for daily peak power demand. It is very important work to know power demand in next day for manager and control power system. In this research, we develop a daily peak power demand prediction method based on hybrid type composed of AR and Neuro-Fuzzy model. 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.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.63 no.4
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• pp.307-311
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• 2014

Due to the increasing of power consumption, it is difficult to construct accurate prediction model for daily peak power demand. It is very important work to know power demand in next day for manager and control power system. In this research, we develop a daily peak power demand prediction method considering of characteristics of day of week. The proposed method is composed of liner model based on AR model and nonlinear model based on ELM to resolve the limitation of a single model. 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.