• Journal of the Earthquake Engineering Society of Korea
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• v.17 no.1
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• pp.11-19
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• 2013

This research presents that seismic performance of steel moment resisting frame building designed by past provision(UBC, Uniform Building Code) before and after retrofitted with BRB (Buckling-Restrained Brace) was evaluated using response modification factor (R-factor). In addition, the seismic performance of the retrofitted past building was compared with that specified in current provision. The past building considered two different connections: bilinear connection, which was used by structural engineer for building design, and brittle connection observed in past earthquakes. The nonlinear pushover analysis and time history analysis were performed for the analytical models considered in this study. The R-factor was calculated based on the analytical results. When comparing the R-factor of the current provision with the calculated R-factor, the results were different due to the hysteresis characteristics of the connection types. After retrofitted with BRBs, the past buildings with the bilinear connection were satisfied with the seismic performance of the current provision. However, the past buildings with the brittle connection was significantly different with the R-factor of the current provision.

• Proceedings of the KSME Conference
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• 2001.06b
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• pp.558-564
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• 2001

General vehicle is evaluated by its acceleration, fuel economy, NVH (Noise, Vibration and Harshness) and subjective (Launching feel) performance. The first step to enhance its performance is to know how much each component affects on the vehicle performance. It is very important to know what is the key factor of the component among many specifications. Hydraulic torque converter can be expressed by means of its performance curve (torque ratio and capacity factor). In this paper, the key factor of torque converter, which affect vehicle performance, are explored by using Taguchi method.

• Journal of Korean Library and Information Science Society
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• v.47 no.2
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• pp.287-304
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• 2016

This paper introduces a new bibliometric measure called Quality Factor, which assesses multiple facets of faculty research performance. The computation of Quality factor is based on a combination of publication count, citation count, h-index, and Impact Factor. In order to analyze the relationship between Quality Factor and other bibliometric measures (publication count, citation count, h-index, g-index, Impact Factor), the study collected publication data of 189 Korean Library and Information Science professors from 2001 to 2014 to produce the rankings of the faculty by each bibliometric measure and computed Spearman's rank correlations between the rankings. The overall results showed Quality Factor to be correlated to citation-driven measures (citation count, h-index, g-index), but the scatterplot as well as rank-interval analysis showed Quality Factor to be distinctive and more discriminating than other measures.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.3
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• pp.1506-1514
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• 2014

The study is aiming to shed light on not only the influence of logistics output by choosing the third party logistics as the using of third party logistics has been increasing by the manufacturing firms also look over the effect between the factor of third party logistics' choosing and logistics performance in accordance with the changing of the logistics environment. As a result of the study, both service and fame factor among the third party logistics choosing factors have a significant impact on the logistics performance, furthermore the service factor of the logistics environment has an influence on the logistics performance by customer factor after measuring the control effect, and the fame factor has an influence on the logistics performance by both globaliztion and information system factor.

• Journal of Preventive Medicine and Public Health
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• v.20 no.1 s.21
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• pp.67-83
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• 1987

This study relates to the problems of organizational performance in the Christian hospitals. In this study, quality of working life (QOWL), which harmonizes individual as well as organizational goals, was used as an indicator of organizational performance from the open systems view. In order to identify the behavioral factors influencing QOWL in hospitals, self-administered questionnaires were distributed to 1,926 employees who were randomly selected from fifteen Christian hospitals from August 1 to August 30, 1986. The following results were obtained: 1) All correlation coefficients between QOWL and behavioral variables were statistically significant even though their magnitude varied according to hospital size. 2) Using factor analysis, 32 variables were parsimoniously grouped into four factors: individual conflicts, group behavior, organizational characteristics and situation, and job characteristics. The proportion of variance explained by these factors ranged from 33.5% to 38.6% according to hospital size. 3) The overall effects of the four factors in the multiple logistic models ranged from 0.85 to 3.12 according to hospital size. Among three hospital models, the model for small hospitals showed the best statistical fit. 4) The most influential factor was organizational characteristics and situation with an odds ratio ranging from 1.99 to 3.02. Again, the odds ratio was the highest for small hospitals. 5) For large hospitals, the two main factor effects were statistically significant: organizational characteristics and situation, and job characteristics. For medium hospitals, all main factor effects except job characteristics were statistically significant. For small hospitals, all main factor effects except group behavior were statistically significant. However, a factor interaction effect was shown only for large hospitals where it was statistically significant. 6) To examine whether the four factors influence financial performance, the four factor scores from the two financial performance groups were compared using Mann-Whitney test. The test results showed that the organizational characteristics and situation factor score was significantly different only for small hospitals.

• 제어로봇시스템학회:학술대회논문집
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• 1992.10a
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• pp.123-128
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• 1992

This paper presents an autotuning algorithm of scaling factor in order to improve system performance. We define the scaling factor of fuzzy controller as a function of error and error change. This function is tuned by the output of performance evaluation level utilizing the error of overshoot and rising time. Simulation results show that the proposed algorithm has good tuning performance for a system with parameter change.

• New & Renewable Energy
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• v.7 no.2
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• pp.28-35
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• 2011

Recently, photovoltaic systems have been devolved into much larger systems up to MW-scale. Photovoltaic industry participants give their focus on power generation capability of photovoltaic modules because their benefits can be decided from the amount of generation. The information on long-term performance change of photovoltaic modules helps to estimate the amount of power generation and evaluate the economic cost-benefits. Long-term performance of a PV system has been analyzed with operation data for 12 years from 1999 to 2010. In the first year, the amount of yearly power generation was 57.7 MWh with 13.2% capacity factor. In 2007, the amount of yearly generation was 44.3 MWh with 10.14% capacity factor, and in 2010, the amount was decreased down to 38.1 MWh with 8.7% capacity factor. The result means that long-term capacity factor has been 4.5% decreased for 12 years and that the amount of generation has been decreased 34.0% for 12 years which is 2.8 % per year. The latter capacity factor has been decreased faster than 0.20%, the average rate for 10 years. The performance decrease of the PV system is meant to be accelerated. The decrease of performance and utilization is due to aged deterioration of photovoltaic modules and lowering conversion efficiency of PCS.

• Korean Business Review
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• v.20 no.2
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• pp.135-145
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• 2007

We defined quality management practice factor and workforce management factor and confirm their conformance, and examine the former affect positively on production performance. Moreover, we examine whether workforce factor have an moderate effect on 'quality management practice facor - performance' relationship, using moderate regression. As the result of empirical study on nationwide manufacturing companies, workforce management factor have an moderate effect on the relationship which means need for investment on two factors.

• Journal of Korean Society for Quality Management
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• v.38 no.3
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• pp.449-462
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• 2010

In this Paper, We analyzed influence Factor to TPM Performance in medium and small enterprises by empirically. By Literature survey, We hypothesize education training and 5S influence to individual improvement, independence maintenance, planning and foresight, which also influence to flexibility, total equipment performance, quality, which finally influence to lower cost, delivery date. To analyze empirically, we survey questionnaire in medium and small enterprises being below 300 people. From statistical analysis, 7 hypotheses are rejected, which is different existing research. This is analyzed that reflect actuality that medium and small enterprises is different from large enterprises. We expect that result of this treatise does concentration effort in important factor to get TPM performance in medium and small enterprises.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.31 no.2 s.257
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• pp.151-158
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• 2007

The mechanism of power transmission from motor torque to stem thrust and the operation characteristic of each stroke position are analyzed using the diagnostic signal, and effects of differential pressure on the performance of motor operated flexible wedge gate valve are investigated. Test facility consists of 76 mm motor operated valve(flexible wedge type), pump and pipe system. Static and dynamic test are performed separately, and two differential pressure conditions are applied in the dynamic test. To evaluate the performance of valve, test signals for the torque, thrust, current, voltage and stroke length are acquired by using UDS which is diagnosis device for motor operated valve, and each diagnostic signal is analyzed and compared. The characteristic of valve performance factors such as stem factor, rate of loading, valve factor, are evaluated, and these factors are found to be severely influenced by the fluid differential pressure.