• Journal of the Korean Society for Railway
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• v.9 no.4 s.35
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• pp.388-393
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• 2006

Recently, Korean government demands that public sectors like railway construction should improve their management efficiency. It is necessary for railway construction supported by government budget to aim at the companywide management efficiency. The Balanced Scorecard (BSC) is known as integrated performance management framework that helps a company to translate strategic objective info relevant performance within an organization. This paper focuses on relationship between KPIs (Key Performance Indicators) used to measure the performance of railway construction industry and process KPT for BPM (Business Process Management). Also, the vision and strategies of the railway construction is introduced, and the CSFs (Critical Success Factors) and the KPI based on BSC is developed. Finally, this paper explores that there is a possibility to fulfill the strategic objectives of railway construction industry through the connectivity between KPI based on BSC and process KPI based on BPM. We explain the detailed procedures with an example of railway construction industry.

• ETRI Journal
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• v.29 no.1
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• pp.50-58
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• 2007

Robust adaptive beamforming based on worst-case performance optimization is investigated in this paper. It improves robustness against steering vector mismatches by the approach of diagonal loading. A closed-form solution to optimal loading is derived after some approximations. Besides reducing the computational complexity, it shows how different factors affect the optimal loading. Based on this solution, a performance analysis of the beamformer is carried out. As a consequence, approximated closed-form expressions of the source-of-interest power estimation and the output signalto-interference-plus-noise ratio are presented in order to predict its performance. Numerical examples show that the proposed closed-form expressions are very close to their actual values.

• Journal of Ocean Engineering and Technology
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• v.29 no.2
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• pp.111-119
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• 2015

In the initial ship design stage, performance predictions are generally carried out before and after the hull form design. The former is based on the main dimensions and power information, and the latter is based on the geometry of the hull form and propeller. This paper deals with the practical application of neural networks for the prediction of a ship's performance factors before and after the hull form design. For this, the hull form parameters that affect the performance are studied, and an optimal neural network structure based on the SSMB database is constructed. By comparing the results predicted by neural networks and the model test results, we confirmed that neural networks can be applied to practically evaluate the performance in the initial ship design stage.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.267-273
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• 2013

Early design phase energy modeling is used to provide the design team with first order of magnitude feedback about the impact of various building configurations. For better energy-conscious and sustainable building design and operation, the construction of BIM data interoperability for energy performance assessment in the early design phase is important. The purpose of this study is to suggest construction of BIM data interoperability for energy performance assessment based on BIM. To archive this purpose, the authors have investigated advantage of BIM-based energy performance assessment through comparison with traditional energy performance assessment and suggested requirement for construction of open BIM environment such as BIM data creation, BIM data software practical use, BIM data application and verification. In addition, the authors have suggested BIM data interoperability and BIM energy property mapping method focused on materials.

• Knowledge Management Research
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• v.15 no.2
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• pp.23-41
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• 2014

Firms increasingly utilize Social Networking Service(SNS) to lead user's voluntary behavior. In the web-based environment, users show coexist loyal behavior which is represented by 'web-based pro-organization citizenship behavior' and 'anti-citizenship behavior'. To measure genuine performance of web-activity, we separated degree of compliance based on credibility, 'deep-level' and 'surface-level' to comprehend different behavior after compliance. The analysis result shows that contents credibility is important to enhance deep-level of compliance which has significant influence on web-based pro-organization citizenship behavior. Contrastively, surface-level of compliance has influence on anti-citizenship behavior. Based on the results of these analyses, the directions of web-based activities for the common good and self-interests of the stakeholders of the web-based activities will be proposed.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.11B
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• pp.989-997
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• 2008

The reverse acknowledgment (RA) scheme supports a fast loss recovery for negative acknowledgment (NAK)-based selective repeat automatic repeat request (SR-ARQ) by detecting a retransmission failure quickly before a retransmission timer expires. In this paper, we evaluate the performance of a NAK-based SR-ARQ protocol with the RA scheme and compare it with the conventional NAK-based SR-ARQ protocol. Particularly, we propose a simple analysis model for the transport delay of the NAK-based SR-ARQ protocol considering the traffic condition, the retransmission persistence, the timer-based retransmissions and the RA scheme's behavior. Both NAK-based SR-ARQ protocols with and without the RA scheme are implemented by using the OPNET simulator. We verified the analysis model's accuracy through the simulation results. Also, we evaluate the performance of the NAK-based SR-ARQ protocol with the RA scheme based on analysis and simulation results.

• Proceedings of the Korea Society for Simulation Conference
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• 2003.11a
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• pp.87-93
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• 2003

This paper reviews existing message-filtering schemes and presents a quantization-based message-filtering approach which reduces state update transmission and message traffic requirement. For a realization of the approach we develop a DEVS-based integrator which provides behavior and characteristic of the quantization-based approach. We take a spaceship and space traveling system as a case study to evaluate performance of the quantization-based approach. The approach is validated by DEVSJAVA simulations of the case study. The comparison of message traffic requirement between DTSS (Discrete Time System Specification)-based and DEVS-based systems apparently shows system performance improvement through the quantization-based approach.

• Journal of the Korean Operations Research and Management Science Society
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• v.40 no.1
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• pp.57-73
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• 2015

While many previous studies investigated the effect of operations performance on financial performance, most studies considered only a few performance indicators and ignored the characteristics of industries. Therefore, this study intends to analyze the effect of operations performance on financial performance, by selecting a rather comprehensive operations performance indicators from firms' financial data. In doing so, we used operating efficiency and supply chain performance indicators for operations performance and a firm's profitability and future value indicators for financial performance. For the analysis, we collected 544 firms' operations and financial performance data belonging to eight key industries from the 'Forbes Global 2000'. We first analysed the differences in operations and financial performance among high, medium and low supply chain performance groups based on the quantitative criteria of Gartner's 'Supply Chain Top 25' ranking procedure. Then we analysed the effect of operations performance indicators on financial performance for both entire industry and individual industries, using multiple regression. Based on the results, we provided practical insights into key operations performance indicators to focus on and manage in order to improve financial performance.

• Journal of Korean Clinical Nursing Research
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• v.18 no.3
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• pp.381-390
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• 2012

Purpose: This study was conducted to examine the effects of simulation-based infection control training on the ICU nurses' perception, clinical performance, and self-efficacy of infection control. Methods: Thirty-eight nurses were assigned into two groups using a career stratified randomization. In the experimental group, the subjects received a simulation-based infection control training, whereas the control group participated in a conventional lecture-based training. Two weeks after the completion of the training sessions, the participants were evaluated for perception, clinical performance, and self-efficacy regarding the infection control. Results: The experimental group that received simulation-based infection control training showed an improvement in perceiving the infection control compared to that of the control group, but the difference was not statistically significant. In terms of the clinical performance, the experimental group and the control group scored $26.05{\pm}3.22$ and $18.53{\pm}3.37$ points respectively, demonstrating a statistical significance (p<.001). There was no significant difference between the two groups in regards to the self-efficacy. Conclusion: The developed simulation-based infection control training showed positive effects in improving clinical performance of infection control over conventional lecture-based training, confirming that a simulation-based training is an effective method in advancing the practical performance of ICU nurses.

• Physical Therapy Rehabilitation Science
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• v.13 no.1
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• pp.18-25
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• 2024

Objective: This study is a single-group pre-post experimental study to determine the effects of simulation-based practice education on nursing students' self-efficacy, performance confidence, and educational satisfaction. Design: Single-group pre-post experimental studies Methods: This study was conducted from September 1, 2023 to November 30, 2023 for nursing undergraduate students in a simulation based practical education program. The subjects were provided with learning materials about an acute myocardial infarction case with chest pain for preliminary learning. After that, they were divided into teams of 6 people and asked to do self-study for 2 hours per team, twice a week, before conducting simulation practice. For the simulation based practical education, the participants were divided into 9 teams of 6 people each, and each team had 10 minutes for orientation, 15 minutes for scenario operation, and 50 minutes for debriefing. Results: After the simulation based practical education, self-efficacy increased statistically significantly from a mean of 3.51 before training to a mean of 3.80 after training (t=-2.12, p=0.038). However, there was no significant difference in performance confidence. There was a significant positive correlation between self-efficacy and performance confidence (r=0.62, p<0.001) and training satisfaction (r=0.67, p<0.001) after the simulation based practical education. Self-confidence was also significantly correlated with educational satisfaction (r=0.76, p<0.001). Conclusions: The results of this study showed that utilizing simulation-based practical education can increase nursing students' self-efficacy, which positively affects their performance confidence and educational satisfaction. Therefore, simulation-based practical education is an effective nursing education method that can improve nursing students' practical skills.