• Korean Journal of Clinical Pharmacy
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• v.31 no.4
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• pp.301-310
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• 2021

Background: Trust is a key component for the good relationship between patients and healthcare professionals but trust for community pharmacists has not been studied much. Objectives: This study aimed to measure public trust in community pharmacists and to investigate variables that affect trust level in South Korea. Methods: A total of 25 questions, including 13-items for three dimensions of trust (pharmacists' behavior/attitude, technical competence, communication skills) and 1-item for overall trust were developed. The survey was conducted online and the data from 416 respondents were analyzed with a t-test, an ANOVA and a multiple linear regression analysis. Results: The average scores (mean ± standard deviation) for the three dimensions of trust in community pharmacists were 3.47±1.05 (out of 5 points) for pharmacists' behavior/attitude, 3.67 ± 0.99 for technical competence, and 3.66±0.99 for communication skills. The average of the 13 items incorporating all parameters was 3.56±1.02 and the overall trust level was 7.16±1.62 (out of 10 points). The total sum of the 13 items differed significantly by age group (p=0.02) and frequency of pharmacy visits (p=0.04). Each dimension had an independent impact on the trust level, and pharmacists' behavior/attitude had the greatest impact on trust levels. Conclusions: This study showed that pharmacists' behavior/attitude had the most significant impact on the trust level. However, the level of trust in pharmacists' behavior/attitude is not yet sufficiently satisfactory, and further improvements are required to increase trust in community pharmacists.

• Journal of the Korea Institute of Military Science and Technology
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• v.11 no.2
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• pp.80-87
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• 2008

The LVC(Live, Virtual, Constructive) system of CTC(Combat Training Center) is at the very cutting edge of modeling and simulation technology, which has become widely accepted an enabler for a new military training transformation. In this paper, the architecture of LVC system is proposed for the Korean brigade-level CTC, and high level operational architecture, system architecture, and technical standard architecture are suggested.

• Proceedings of the KIPE Conference
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• 2011.11a
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• pp.63-64
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• 2011

The inevitable calculation time delay of digital controller especially degrades the voltage control performance of three-phase UPS systems. This paper proposes time delay compensators based on the Smith-predictor for both voltage and current controllers of three-level NPC inverters. The PSIM-based simulation results show that the proposed controller with delay compensator gives improved voltage control performance with respect to time delay.

• Transactions on Control, Automation and Systems Engineering
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• v.1 no.1
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• pp.1-7
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• 1999

This paper gives a simulation study of a new fuzzy logic control(FLC) approach for the mold level control in continuous casting processes. The proposed FLC is PID type hybridizing the conventional fuzzy PI control and Fuzzy PD control with a simplified design scheme. It is shown that, compared with the conventional control, this new control strategy can achieve superior performance for steady-state response and is more robust against process parameter variations and disturbances.

• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.225-226
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• 2006

A service level agreement (SLA) is a formal contract between a service provider and a subscriber that contains detailed technical specifications called service level specifications (SLSs). In this paper, we propose SLA data analysis system which provides an effective decision-making information to network service provider. The SLA data analysis system executes trend analysis and statistics analysis using SLA violation and refund information. The analysis results are presented in many ways such as tables, graphs.

• Journal of Technology Innovation
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• v.29 no.4
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• pp.1-30
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• 2021

Due to the recent development of system semiconductors, technical innovation for the electric devices of the automobile industry is rapidly progressing. In particular, the electric device of automobiles is accelerating technology development competition among automobile parts makers, and the development cycle is also changing rapidly. Due to these changes, the importance of strategic planning for R&D is further strengthened. Due to the paradigm shift in the automobile industry, the Product-Technical Roadmap (P/TRM), one of the R&D strategies, analyzes technology forecasting, technology level evaluation, and technology acquisition method (Make/Collaborate/Buy) at the planning stage. The product-technical roadmap is a tool that identifies customer needs of products and technologies, selects technologies and sets development directions. However, most companies are developing the product-technical roadmap through a qualitative method that mainly relies on the technical papers, patent analysis, and expert Delphi method. In this study, empirical research was conducted through simulations that can supplement and strengthen the product-technical roadmap centered on the automobile industry by fusing Gartner's hype cycle, cumulative moving average-based data preprocessing, and deep learning (LSTM) time series analysis techniques. The empirical study presented in this paper can be used not only in the automobile industry but also in other manufacturing fields in general. In addition, from the corporate point of view, it is considered that it will become a foundation for moving forward as a leading company by providing products to the market in a timely manner through a more accurate product-technical roadmap, breaking away from the roadmap preparation method that has relied on qualitative methods.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.2 no.2
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• pp.146-152
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• 2002

Mold level control has been a major control task for continuous casting plants. The system involves nonlinearities such as stick-slip friction in the sliding gate, time-delay, friction force variations between molten steel and the inner wall of mold, and nozzle logging/unclogging. These complex problems should be solved to control mold level for steel cast. In this paper, we propose a neural fuzzy mold level control technique for solving these complex problems and give experiment studies to show the mold level control in continuous casting process.

• Journal of Electrical Engineering and Technology
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• v.10 no.4
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• pp.1822-1829
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• 2015

In this study, artificial neural networks were used to determine the intensity of brightness in interior spaces. The illumination elements to illuminate indoor spaces were considered, not individually, but as a system. So, during the planned maintenance periods of an illumination system, after its design and installation, simple brightness level measurements must be taken. For a three-dimensional evaluation of the brightness level in indoor spaces in a speedy and accurate manner, the obtained brightness level measurement results and artificial neural network model were used. Upon estimation of the most suitable brightness level for indoor spaces by using the artificial neutral network model, the energy demands required by the illumination elements decreased. Consequently, in this study, with estimations of brightness levels, the extent to which the artificial neutral networks become successful was observed and more correct results have been obtained in terms of both economy and usage.

• Asia pacific journal of information systems
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• v.14 no.4
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• pp.23-47
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• 2004

This study was tried for the improvement of software process ability of the software firms, and analyzed empirically the impact that a software process infrastructure level influences on the software process level and process performance. The questionnaire were developed and data were collected from the process improvement correspondences or project quality managers of the 78 software firms. The result was shown that management-organization infrastructure was composed of software process improvement organization's role and activity, process standard and education, management system and supporting, management guides and procedures. And organization's standard development procedure or criteria, process asset, process support tools were included in technical infrastructure. This study provides that some components of software process infrastructure had an significant influence on the process level, process infrastructure management level, and software process performance.

• Asia pacific journal of information systems
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• v.11 no.3
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• pp.105-126
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• 2001

The objective of research is to find out exogenous variables that influence the usage and performance EDI in the Korea firms. Specifically the goals of this research are; (1) to examine relationships between exogenous variables, such as management, technology, inter-firm relationship characteristics, and EDI performance, and (2) to measure EDI volume, EDI diversity, EDI depth among Korea firms. The questionnaire consists of two versions; One for the EDI system managers and the other for the EDI users. The analysis of this study is designed as cross level to examine the causal relationship among variables in different analysis level. The reliability and validity of data was tested by explanatory factor analysis, Cronbach's alpha coefficient, confirmatory factor analysis, and correlation analysis. Also, the structural equation model(SEM) analysis was performed to test the usefulness of the model. The analysis results revealed that education level, IS growth, trust, support, power are major influential variables on the usage level and performance of EDI. Especially, persuasive power turned out to be more important than coercive power, and technical financial support from organizations was also found to be a significant variables.