• The Korean Journal of Food And Nutrition
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• v.34 no.1
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• pp.123-131
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• 2021

This study investigated the current status of foodservice management and the importance and performance of foodservice management according to the level of knowledge of workers. A survey was conducted between February 2015 and March 2015 for 329 foodservice workers at Community Child Centers in Chungbuk Area. Of these respondents, the majority (78.4%) of them were females. Most of them were in their 40s (40.4%) or 50s (33.4%). If the respondent's correct answer rate of knowledge was 0~50% or 51~100%, the respondent was classified into a 'Low Group (LG, n=175)' or a 'High Group (HG, n=154)'. Among a total of 14 foodservice management questions, 6 items (personal hygiene: 1 item; food material: 2 items; and food processing: 3 items) had relatively higher performance scores for workers in HG than for workers in LG. As a result of Importance-Performance analysis, 'Use different knives and cutting boards for fish, meat, and vegetables' was a variable of high importance but low performance. It was found that improvement was most urgently needed. Results of this study can be used to derive important items for improving foodservice management and policy development for foodservice workers at Community Child Centers.

• Asian Journal of Innovation and Policy
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• v.12 no.1
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• pp.101-130
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• 2023

The increasing cost, and demand for, household energy has increased attention to the phenomena of energy burdens. Despite this increased attention, a lack of consensus remains in pinpointing the strongest predictors, and geographic differences, that exist within the energy ecosystem. This study addresses this gap by utilizing a series of dummy variable regressions across cities, suburbs, and rural areas within Erie County, New York-a county noted to have particularly high energy burdens. Specifically, three types of predictor sets were incorporated into the methodology: a set of socioeconomic variables, physical variables, and a combination of both variable sets. The results of this study suggest that cities tend to have the highest electricity burdens. Despite the aging infrastructure in Erie County, high energy burdens were driven primarily by socioeconomic factors such as housing cost burden and poverty status. Lastly, this study explores various planning and policy implications Erie County can utilize to reduce energy burdens. In turn, this study highlights the importance of focusing policy efforts on existing social service programs to provide support to the region's neediest households.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.34S no.2
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• pp.33-42
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• 1997

In this paper, a video coding method in wavelet transformed multi-resolution image using variable block sized motion estimation and multi-codebook is proposed. In the propoed method, the accuracy of motion estimation is increased by using variable block matching algorithm based on edge type of blocks which estimation is increased by using variable block matching algoritm based on edge type of blocks which is classified accoridng to the magnitude of wavelet coefficients in vertical subband and horizontal subband of the highest layer. Also, we increased the flexibility of bit allocation and decreased vector quantization error for motion compensated error transmission by using importance of each subband. Some experimental results confirm that he proposed mothod has fine reconstructed images without blocking effect at low bit rate, and especially reconstructs edges well to which human eyes are sensitive.

• Journal of the Korean Society of Safety
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• v.12 no.2
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• pp.70-79
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• 1997

This paper presents a study on the fuzzy linguistic variable based approach for safety assessment of human body in ELF electromagnetic field considering power system states. To cope with the demand in modern industry, the power system becomes larger in scale, higher in voltage. The advent of high voltage system has increased the relative importance of field effects. The analysis of ELF electromagnetic field based on Quasi-Static Method is introduced while the power system is included to model the expected and/or unexpected uncertainty caused by the load fluctuation and parameter changes. In order to analyze the power system, Monte Carlo simulation method and contingency analysis method are adopted in normal state and alert state, respectively. In the safety assessment of human body, the approach based on fuzzy linguistic variable is employed to overcome the shortcomings resulting from a crisp set concept. The suggested scheme is applied to a sample system(modified IEEE 14 bus system) to validate the usefulness.

• Journal of the Korean Society of Clothing and Textiles
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• v.18 no.3
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• pp.355-367
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• 1994

In consumer behavior, money and time have been considered as two important resources as purchase means. Money was treated as an important research variable, but time resource was neglected as an input variable due to lack of well-defined concept and complexity of its nature. Nontheless as industralization and urbanization progress, the importance of time has in- creased. The main objective of this study was to suggest framework of time and time research methodology in clothing and textiles field. This study reviewed both theoretical and empirical research which were performed in diverse research fields. It was suggested that time facotrs, (eg. point, interval, span), should be defined to each decision process as needed, and theoretical frame should be developed accordingly. Time pressure should be included in future for more reliable survey Finally, since clothing can be a personal object, the subjective feeling and environmental factors scold be considered in research.

• 유체기계공업학회:학술대회논문집
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• 2003.12a
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• pp.80-87
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• 2003

Micro gas turbines are designed with low turbine inlet temperature and pressure ratio. To overcome the efficiency defect of the simple cycle, adoption of the recuperator is an inevitable choice. In addition to the design performance, we should also pay attention to the off-design performance of gas turbines since they usually operate at part-load conditions for a considerable amount of the time. This study aims at analyzing off-design performance characteristics of micro gas turbines and addressing the importance of the recuperator in the part load operation. Comparative analyses have been performed to evaluate the part load performance differences among various design and operating options : simple vs recuperative cycles, single vs two shaft configurations, various operating strategies for the single shaft configuration (fuel only control, variable speed operation, variable inlet guide vane control), and current vs advanced engines. Major finding is that maintaining turbine at high level is crucial in efficient operation of micro gas turbines.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.1765-1770
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• 2005

Recently, particle filters have attracted attentions for nonlinear state estimation. In this approaches, a posterior probability distribution of the state variable is evaluated based on observations in simulation using so-called importance sampling. We proposed a new filter, Evolution Strategies based particle (ESP) filter to circumvent degeneracy phenomena in the importance weights, which deteriorates the filter performance, and apply it to simultaneous state and parameter estimation of nonlinear state space models. Results of numerical simulation studies illustrate the applicability of this approach.

• Journal of the Korean Home Economics Association
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• v.36 no.3
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• pp.161-172
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• 1998

The purpose of this study were 1) to identify the effect of regions on clothing brand loyalty and related variables, 2) to investigate the relationships between brand loyalty and clothing importance, aesthetic aspects of clothing, modesty, status symbol of clothing and authoritarian personality, and 3) to identify the effects of age, job, education and income on clothing brand loyalty. The subjects were 106 and 100 female adults living in Kyong-Ju and Seoul, respectively. The data were collected using self-administered questionnaires and were analyzed by t-test, chi-square test, correlation, multiple regression and ANOVA. The results showed that 1) clothing importance and authoritarian personality were different according to regions. That is female living in Kyong-Ju had a higher authoritarian personality and female living in Seoul had a higher clothing importance scores. 2) The status symbol of clothing, aesthetic aspects of clothing, and authoritarian personality were positively related to brand loyalty. Among these, the status symbol of clothing was the most significant variable, 3) Continued brand loyalty and habitual brand loyalty were varied by age.

• 제어로봇시스템학회:학술대회논문집
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• 2003.10a
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• pp.559-564
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• 2003

Recently, particle filters have attracted attentions for nonlinear state estimation. They evaluate a posterior probability distribution of the state variable based on observations in simulation using so-called importance sampling. However, degeneracy phenomena in the importance weights deteriorate the filter performance. A new filter, Evolution Strategies Based Particle Filter, is proposed to circumvent this difficulty and to improve the performance. Numerical simulation results illustrate the applicability of the proposed idea.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.156-156
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• 2022

Explicitly spatially distributed and reliable data on industrial water demand is very much important for both policy makers and researchers in order to carry a region-specific analysis of water resources management. However, such type of data remains scarce particularly in underdeveloped and developing countries. Current research is limited in using different spatially available socio-economic, climate data and geographical data from different sources in accordance to predict industrial water demand at finer resolution. This study proposes a random forest regression (RFR) model to predict the industrial water demand at 0.50× 0.50 spatial resolution by combining various features extracted from multiple data sources. The dataset used here include National Polar-orbiting Partnership (NPP)/Visible Infrared Imaging Radiometer Suite (VIIRS) night-time light (NTL), Global Power Plant database, AQUASTAT country-wise industrial water use data, Elevation data, Gross Domestic Product (GDP), Road density, Crop land, Population, Precipitation, Temperature, and Aridity. Compared with traditional regression algorithms, RF shows the advantages of high prediction accuracy, not requiring assumptions of a prior probability distribution, and the capacity to analyses variable importance. The final RF model was fitted using the parameter settings of ntree = 300 and mtry = 2. As a result, determinate coefficients value of 0.547 is achieved. The variable importance of the independent variables e.g. night light data, elevation data, GDP and population data used in the training purpose of RF model plays the major role in predicting the industrial water demand.